Risk Factor Analysis for AKI Including Laboratory Indicators: a Nationwide Multicenter Study of Hospitalized Patients

Directory of Open Access Journals (Sweden)

Sasa Nie

2017-10-01

Full Text Available Background/Aims: Risk factor studies for acute kidney injury (AKI in China are lacking, especially those regarding non-traditional risk factors, such as laboratory indicators. Methods: All adult patients admitted to 38 tertiary and 22 secondary hospitals in China in any one month between July and December 2014 were surveyed. AKI patients were screened according to the Kidney Disease: Improving Global Outcomes’ definition of AKI. Logistic regression was used to analyze the risk factors for AKI, and Cox regression was used to analyze the risk of in-hospital mortality for AKI patients; additionally, a propensity score analysis was used to reconfirm the risk factors among laboratory indicators for mortality. Results: The morbidity of AKI was 0.97%. Independent risk factors for AKI were advancing age, male gender, hypertension, and chronic kidney disease. All-cause mortality was 16.5%. The predictors of mortality in AKI patients were advancing age, tumor, higher uric acid level and increases in Acute Physiologic Assessment and Chronic Health Evaluation II and Sequential Organ Failure Assessment scores. The hazard ratio (HR for mortality with uric acid levels > 9.1 mg/dl compared with ≤ 5.2 mg/dl was 1.78 (95% CI: 1.23 to 2.58 for the AKI patients as a group, and was 1.73 (95% CI: 1.24 to 2.42 for a propensity score-matched set. Conclusion: In addition to traditional risk factors, uric acid level is an independent predictor of all-cause mortality after AKI.

Fever in trauma patients: evaluation of risk factors, including traumatic brain injury.

Science.gov (United States)

Bengualid, Victoria; Talari, Goutham; Rubin, David; Albaeni, Aiham; Ciubotaru, Ronald L; Berger, Judith

2015-03-01

The role of fever in trauma patients remains unclear. Fever occurs as a response to release of cytokines and prostaglandins by white blood cells. Many factors, including trauma, can trigger release of these factors. To determine whether (1) fever in the first 48 hours is related to a favorable outcome in trauma patients and (2) fever is more common in patients with head trauma. Retrospective study of trauma patients admitted to the intensive care unit for at least 2 days. Data were analyzed by using multivariate analysis. Of 162 patients studied, 40% had fever during the first 48 hours. Febrile patients had higher mortality rates than did afebrile patients. When adjusted for severity of injuries, fever did not correlate with mortality. Neither the incidence of fever in the first 48 hours after admission to the intensive care unit nor the number of days febrile in the unit differed between patients with and patients without head trauma (traumatic brain injury). About 70% of febrile patients did not have a source found for their fever. Febrile patients without an identified source of infection had lower peak white blood cell counts, lower maximum body temperature, and higher minimum platelet counts than did febrile patients who had an infectious source identified. The most common infection was pneumonia. No relationship was found between the presence of fever during the first 48 hours and mortality. Patients with traumatic brain injury did not have a higher incidence of fever than did patients without traumatic brain injury. About 30% of febrile patients had an identifiable source of infection. Further studies are needed to understand the origin and role of fever in trauma patients. ©2015 American Association of Critical-Care Nurses.

Cross-selling through database marketing : a mixed data factor analyzer for data augmentation and prediction

NARCIS (Netherlands)

Kamakura, W.A.; Wedel, M.; de Rosa, F.; Mazzon, J.A.

An important aspect of the new orientation on customer relationship marketing is the use of customer transaction databases for the cross-selling of new services and products. In this study, we propose a mixed data factor analyzer that combines information from a survey with data from the customer

NASTRAN thermal analyzer: Theory and application including a guide to modeling engineering problems, volume 2. [sample problem library guide

Science.gov (United States)

Jackson, C. E., Jr.

1977-01-01

A sample problem library containing 20 problems covering most facets of Nastran Thermal Analyzer modeling is presented. Areas discussed include radiative interchange, arbitrary nonlinear loads, transient temperature and steady-state structural plots, temperature-dependent conductivities, simulated multi-layer insulation, and constraint techniques. The use of the major control options and important DMAP alters is demonstrated.

Polymerase chain reaction system using magnetic beads for analyzing a sample that includes nucleic acid

Science.gov (United States)

Nasarabadi, Shanavaz [Livermore, CA

2011-01-11

A polymerase chain reaction system for analyzing a sample containing nucleic acid includes providing magnetic beads; providing a flow channel having a polymerase chain reaction chamber, a pre polymerase chain reaction magnet position adjacent the polymerase chain reaction chamber, and a post pre polymerase magnet position adjacent the polymerase chain reaction chamber. The nucleic acid is bound to the magnetic beads. The magnetic beads with the nucleic acid flow to the pre polymerase chain reaction magnet position in the flow channel. The magnetic beads and the nucleic acid are washed with ethanol. The nucleic acid in the polymerase chain reaction chamber is amplified. The magnetic beads and the nucleic acid are separated into a waste stream containing the magnetic beads and a post polymerase chain reaction mix containing the nucleic acid. The reaction mix containing the nucleic acid flows to an analysis unit in the channel for analysis.

Transient analyzer

International Nuclear Information System (INIS)

Muir, M.D.

1975-01-01

The design and design philosophy of a high performance, extremely versatile transient analyzer is described. This sub-system was designed to be controlled through the data acquisition computer system which allows hands off operation. Thus it may be placed on the experiment side of the high voltage safety break between the experimental device and the control room. This analyzer provides control features which are extremely useful for data acquisition from PPPL diagnostics. These include dynamic sample rate changing, which may be intermixed with multiple post trigger operations with variable length blocks using normal, peak to peak or integrate modes. Included in the discussion are general remarks on the advantages of adding intelligence to transient analyzers, a detailed description of the characteristics of the PPPL transient analyzer, a description of the hardware, firmware, control language and operation of the PPPL transient analyzer, and general remarks on future trends in this type of instrumentation both at PPPL and in general

Prognostic factors for head and neck cancer of unknown primary including the impact of human papilloma virus infection.

Science.gov (United States)

Axelsson, Lars; Nyman, Jan; Haugen-Cange, Hedda; Bove, Mogens; Johansson, Leif; De Lara, Shahin; Kovács, Anikó; Hammerlid, Eva

2017-06-10

Head and neck cancer of unknown primary (HNCUP) is rare and prospective studies are lacking. The impact of different prognostic factors such as age and N stage is not completely known, the optimal treatment is not yet established, and the reported survival rates vary. In the last decade, human papilloma virus (HPV) has been identified as a common cause of and important prognostic factor in oropharyngeal cancer, and there is now growing interest in the importance of HPV for HNCUP. The aim of the present study on curatively treated HNCUP was to investigate the prognostic importance of different factors, including HPV status, treatment, and overall survival. A search for HNCUP was performed in the Swedish Cancer Registry, Western health district, between the years 1992-2009. The medical records were reviewed, and only patients with squamous cell carcinoma or undifferentiated carcinoma treated with curative intent were included. The tumor specimens were retrospectively analyzed for HPV with p16 immunostaining. Sixty-eight patients were included. The mean age was 59 years. The majority were males, and had N2 tumors. Sixty-nine percent of the tumors were HPV positive using p16 staining. Patients who were older than 70 years, patients with N3-stage tumors, and patients with tumors that were p16 negative had a significantly worse prognosis. The overall 5-year survival rate for patients with p16-positive tumors was 88% vs 61% for p16-negative tumors. Treatment with neck dissection and postoperative radiation or (chemo) radiation had 81 and 88% 5-year survival rates, respectively. The overall and disease-free 5-year survival rates for all patients in the study were 82 and 74%. Curatively treated HNCUP had good survival. HPV infection was common. Independent prognostic factors for survival were age over 70 years, HPV status and N3 stage. We recommend that HPV analysis should be performed routinely for HNCUP. Treatment with neck dissection and postoperative radiation or

Analyzing seasonal patterns of wildfire exposure factors in Sardinia, Italy.

Science.gov (United States)

Salis, Michele; Ager, Alan A; Alcasena, Fermin J; Arca, Bachisio; Finney, Mark A; Pellizzaro, Grazia; Spano, Donatella

2015-01-01

In this paper, we applied landscape scale wildfire simulation modeling to explore the spatiotemporal patterns of wildfire likelihood and intensity in the island of Sardinia (Italy). We also performed wildfire exposure analysis for selected highly valued resources on the island to identify areas characterized by high risk. We observed substantial variation in burn probability, fire size, and flame length among time periods within the fire season, which starts in early June and ends in late September. Peak burn probability and flame length were observed in late July. We found that patterns of wildfire likelihood and intensity were mainly related to spatiotemporal variation in ignition locations, fuel moisture, and wind vectors. Our modeling approach allowed consideration of historical patterns of winds, ignition locations, and live and dead fuel moisture on fire exposure factors. The methodology proposed can be useful for analyzing potential wildfire risk and effects at landscape scale, evaluating historical changes and future trends in wildfire exposure, as well as for addressing and informing fuel management and risk mitigation issues.

Analyzing Factor of Time of Scoring Goal in Success of Football (Case Study: South Africa World Cup 2010

Directory of Open Access Journals (Sweden)

Shafiee Shahram

2014-10-01

Full Text Available Goal of this research is to study Factor of Time of Scoring Goal in South Africa World Cup 2010 and its relationship with successful results for teams participating in this tournament. Research method is descriptive-analytical and its information was collected observationally and with a VCD, a 32-inch television set and datasheet. Statistical population and sample were considered equal to each other (N=n and included study of 64 competitions held during tournament. Information was analyzed with SPSS.18 software and indices of descriptive statistics and inferential statistics tests such as binomial and chi square were analyzed. Results showed that there was significant difference between two halves of competitions in terms of the number of scored goals. Increase of attack in the second 45 min led to more goals for teams. No significant difference was found between the scored goals and every 15 min and teams competed with opponents until the final minutes of competition. There was significant difference between positive results for the teams which scored the first goal and the teams which scored the first goal had more chance of victory. On the other hand, all teams which were ahead of the opponent in one goal in the final 30 min won at the end (P≤0/05.

A global fouling factor methodology for analyzing steam generator thermal performance degradation

International Nuclear Information System (INIS)

Kreider, M.A.; White, G.A.; Varrin, R.D. Jr.

1998-06-01

Over the past few years, steam generator (SG) thermal performance degradation has led to decreased plant efficiency and power output at numerous PWR nuclear power plants with recirculating-type SGs. The authors have developed and implemented methodologies for quantitatively evaluating the various sources of SG performance degradation, both internal and external to the SG pressure boundary. These methodologies include computation of the global fouling factor history, evaluation of secondary deposit thermal resistance using deposit characterization data, and consideration of pressure loss causes unrelated to the tube bundle, such as hot-leg temperature streaming and SG moisture separator fouling. In order to evaluate the utility of the global fouling factor methodology, the authors performed case studies for a number of PWR SG designs. Key results from two of these studies are presented here. In tandem with the fouling-factor analyses, a study evaluated for each plant the potential causes of pressure loss. The combined results of the global fouling factor calculations and the pressure-loss evaluations demonstrated two key points: (1) that the available thermal margin against fouling, which can vary substantially from plant to plant, has an important bearing on whether a given plant exhibits losses in electrical generating capacity, and (2) that a wide variety of causes can result in SG thermal performance degradation

Revised emission factors for gas engines including start/stop emissions

Energy Technology Data Exchange (ETDEWEB)

Nielsen, Malene; Boll Illerup, J.; Birr-Petersen, K.

2008-06-15

Liberalisation of the electricity market has led to Danish gas engine plants increasingly converting to the spot and regulating power markets. In order to offer regulating power, plants need to be able to start and stop the engines at the plants quickly. The liberalisation causes a considerable change of operation practice of the engines e.g. less full load operation hours /year. The project provides an inventory determining the scale of the emissions during the start and stop sequence as well as proposals for engine modifications aimed at reducing start/stop emissions. This report includes calculation of emission factors as well as an inventory of total emissions and reduction potentials. (au)

A global fouling factor methodology for analyzing steam generator thermal performance degradation

International Nuclear Information System (INIS)

Kreider, M.A.; White, G.A.; Varrin, R.D.

1998-01-01

Over the past few years, steam generator (SG) thermal performance degradation has led to decreased plant efficiency and power output at numerous PWR nuclear power plants with recirculating-type SGs. The authors have developed and implemented methodologies for quantitatively evaluating the various sources of SG performance degradation, both internal and external to the SG pressure boundary. These methodologies include computation of the global fouling factor history, evaluation of secondary deposit thermal resistance using deposit characterization data, and consideration of pressure loss causes unrelated to the tube bundle, such as hot-leg temperature streaming and SG moisture separator performance. In order to evaluate the utility of the global fouling factor methodology, the authors performed case studies for a number of PWR SG designs. Key results from two of these studies are presented here. Uncertainty analyses were performed to determine whether the calculated fouling factor for each plant represented significant fouling or whether uncertainty in key variables (e.g., steam pressure or feedwater flow rate) could be responsible for calculated fouling. The methodology was validated using two methods: by predicting the SG pressure following chemical cleaning at San Onofre 2 and also by performing a sensitivity study with the industry-standard thermal-hydraulics code ATHOS to investigate the effects of spatially varying tube scale distributions. This study indicated that the average scale thickness has a greater impact on fouling than the spatial distribution, showing that the assumption of uniform resistance inherent to the global fouling factor is reasonable. In tandem with the fouling-factor analyses, a study evaluated for each plant the potential causes of pressure loss. The combined results of the global fouling factor calculations and the pressure loss evaluations demonstrated two key points: 1) that the available thermal margin against fouling, which can

Using crosscorrelation to mitigate analog/RF impairments for integrated spectrum analyzers

NARCIS (Netherlands)

Oude Alink, M.S.; Klumperink, Eric A.M.; Kokkeler, Andre B.J.; Ru, Z.; Cheng, W.; Nauta, Bram

2013-01-01

An integrated spectrum analyzer is useful for built-in self-test purposes, software-defined radios, or dynamic spectrum access in cognitive radio. The analog/RF performance is impaired by a number of factors, including thermal noise, phase noise, and nonlinearity. In this paper, we present an

Some factors including radiation affecting the productivity of proteinase enzymes by mucor lamprosporus

International Nuclear Information System (INIS)

El-Kabbany, H.M.I.

1996-01-01

In the present time, great attention has been focused on the production of milk clotting enzymes from microbial source for use as remain substitute due to the increasing demands on rennin for cheese making and the prohibition of the slaughter of small calves. The present investigation included the isolation and identification of remin-like enzyme fungal producers from different egyptian food and soil samples. Different factors including gamma radiation affecting the capability of selected isolate to produce the enzyme was also included. Special attention has also given to study the effect of different purification methods of the produced enzyme. The properties of the purified enzyme were also investigated

Health Promotion Behavior of Chinese International Students in Korea Including Acculturation Factors: A Structural Equation Model.

Science.gov (United States)

Kim, Sun Jung; Yoo, Il Young

2016-03-01

The purpose of this study was to explain the health promotion behavior of Chinese international students in Korea using a structural equation model including acculturation factors. A survey using self-administered questionnaires was employed. Data were collected from 272 Chinese students who have resided in Korea for longer than 6 months. The data were analyzed using structural equation modeling. The p value of final model is .31. The fitness parameters of the final model such as goodness of fit index, adjusted goodness of fit index, normed fit index, non-normed fit index, and comparative fit index were more than .95. Root mean square of residual and root mean square error of approximation also met the criteria. Self-esteem, perceived health status, acculturative stress and acculturation level had direct effects on health promotion behavior of the participants and the model explained 30.0% of variance. The Chinese students in Korea with higher self-esteem, perceived health status, acculturation level, and lower acculturative stress reported higher health promotion behavior. The findings can be applied to develop health promotion strategies for this population. Copyright © 2016. Published by Elsevier B.V.

The impact of pancreas and kidney transplant on cardiovascular risk factors (analyzed by mode of immunosuppression and exocrine drainage).

LENUS (Irish Health Repository)

Davenport, Colin

2011-04-06

The aim of this study was to determine the cardiovascular (CV) risk factor response in Irish patients with type 1 diabetes following simultaneous pancreas and kidney transplantation (SPK), analyzing response based on mode of immunosuppression and surgical drainage in a uniquely homogenous population.

Analyzing the factors affecting optimal management of saline water by application of Sustainable Livelihoods Framework

Directory of Open Access Journals (Sweden)

Masoumeh Forouzani

2016-11-01

Full Text Available In recent years, fresh water has been increasingly reduced and saline water has been one of the options to help the continuity and stability of agricultural activities. Hence, long-term sustainability of saline water irrigation depends on how to manage it at the fields. Optimal management requires identifying the factors affecting it. In this regard, this study used the descriptive–survey method to analyze the factors affecting the optimal management of saline water based on the Sustainable Livelihoods Framework. The statistical population of the study consisted of all the farmers of the Karun County (N=19720. By using the table of Krejcie and Morgan, the sample size was determined (n= 120. The sample was chosen through the simple random sampling method. Data were collected using a questionnaire. The questionnaire's face and content validity were approved by a panel of the agricultural extension and education experts and its reliability was confirmed by calculating the Cranach’s alpha coefficient (0.65-0.83. The data was analyzed by using the SPSS software. At the first stage the variables was converted to standard scores in order to construct livelihood assets indices. Then, principal component analysis was ran to assign the weights of the indicators. The results showed that farmers' management behavior in using saline water was dominated by technical management manners. Social capital and physical capital were known as the most and least livelihood assets of farmers, respectively. Also, there were statistically significant differences in farmers' management behavior based on their livelihood assets.

Application of factor analysis to chemically analyzed data in environmental samples after x-ray fluorescence analysis

International Nuclear Information System (INIS)

El-Sayed, A.A.

2005-01-01

The underlying principle of factorial analysis is frequency distribution and description of reaction in between and through the element series in specific environmental samples. Application of this factor analysis was elaborated to interpret the variance and covariance of certain elements Si, Al, Ca. K, Fe, Ti and Mg in three different types of common materials in environmental sediments, soil, and rock. These evaluations were proceeded after x-ray fluorescence measurements. Results of applications of factorial statistical data analysis show that three factors cause relationship between the above elements in a certain type of environmental samples are mainly recognized. In such cases, these factors represent the main reason for findings and interpret all hidden relationship between the chemical analyzed data. Factor one, the effect of weathering type alteration and oxidation reaction processes as a main one in case of soil and rock where they are characterized by the close covariance of a group of metals, like iron and manganese, commonly derived from weathered and altered igneous rocks. Factor two and three represents other processes. In case of soil, formation of alumino-silicate is revealed in factor two due to the positive covariance of these elements and also the presence of aluminum oxide, titanium oxide and silicon dioxide together is explained by these positive values. The inverse relation between Ca, K, Fe and Mg while indicate the presence of mineral salts which may be due to fertilization and water of irrigation. In case of factor three in that soil, it is the weakest factor that can be used to explain the relationship between the above elements

Application of the AHP method to analyze the significance of the factors affecting road traffic safety

Directory of Open Access Journals (Sweden)

Justyna SORDYL

2015-06-01

Full Text Available Over the past twenty years, the number of vehicles registered in Poland has grown rapidly. At the same time, a relatively small increase in the length of the road network has been observed. As a result of the limited capacity of available infrastructure, it leads to significant congestion and to increase of the probability of road accidents. The overall level of road safety depends on many factors - the behavior of road users, infrastructure solutions and the development of automotive technology. Thus the detailed assessment of the importance of individual elements determining road safety is difficult. The starting point is to organize the factors by grouping them into categories which are components of the DVE system (driver - vehicle - environment. In this work, to analyze the importance of individual factors affecting road safety, the use of analytic hierarchy process method (AHP was proposed. It is one of the multi-criteria methods which allows us to perform hierarchical analysis of the decision process, by means of experts’ opinions. Usage of AHP method enabled us to evaluate and rank the factors affecting road safety. This work attempts to link the statistical data and surveys in significance analysis of the elements determining road safety.

Radiometric analyzer

International Nuclear Information System (INIS)

Arima, S.; Oda, M.; Miyashita, K.; Takada, M.

1977-01-01

A radiometric analyzer for measuring the characteristic values of a sample by radiation includes a humer of radiation measuring subsystems having different ratios of sensitivities to the elements of the sample and linearizing circuits having inverse function characteristics of calibration functions which correspond to the radiation measuring subsystems. A weighing adder operates a desirable linear combination of the outputs of the linearizing circuits. Operators for operating between two or more different linear combinations are included

ANALYZING CONTAGION FROM THE U.S. SUBPRIME MORTGAGE-BACKED SECURITIES MARKET

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Lisa Sheenan

2017-12-01

Full Text Available This paper analyzes contagion from the U.S. subprime mortgage-backed securities market, represented by the ABX.HE indices, to several fixed income, equity and volatility markets in line with seminal literature on the subject. We analyze ‘spliced’ data set constructed in line with the literature, along with two traded ABX.HE indexes. A VAR framework is employed, firstly to extend existing analysis to include 2009, and then to analyze two traded indexes. In order to test the sensitivity of these results ABX returns are then included as an eighth endogenous variable in the VAR. Principal component analysis is employed to reduce the dimensionality of the data. The main principal component obtained is then included as an exogenous variable in the VAR framework and the sensitivity of these results is tested by including this principal component as an eighth endogenous variable. The results indicate evidence of contagion from the ABX indexes during the crisis of 2007-2009 but the source and intensity of this contagion varies across indexes. This highlights the differences across the three ABX data sets analyzed and suggests that splicing the ABX index may impact the results obtained. It also provides evidence that the traded ABX indexes are heterogeneous assets with varying sensitivities to risk factors during the crisis.

ANALYZED FACTORS THAT LEADS TO THE BALANCED SCORECARD NURSING CARE DOCUMENTATION AT RUMAH SAKIT JIWA MENUR SURABAYA

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Yuli Anggraini

2017-04-01

Full Text Available Introduction: Nursing documentation is an important aspect of nursing practice so that should be assessed comprehensively. The objective of the study was to analyze the causing factor of nursing care documentation at Rumah Sakit Jiwa Menur Surabaya through balanced scorecard. Method: This research was an analytical descriptive conducted out on January 2010 at Rumah Sakit Jiwa Menur Surabaya that measured nursing care documentation through four perspectives of balanced scorecard by distributing quisioner to 55 nurses and 69 customers (patient families using inclusion criteria, and holding personal interview to 3 structural offi cial, 2 functional official, and 6 ward supervisors. Data of nurse education, percentage of trained nurse was gained by checklist. Data were analyzed using content analysis to fi nd the causing factor of nursing documentation within balanced scorecard. Result: The result showed that financial, internal business processes, and learning and growth perspectives had causal relationship with nursing care documentation at Rumah Sakit Jiwa Menur Surabaya, but customer perspective didn’t have direct causal relationship with it. Discussion: It can be concluded that impractical nursing documentation form especially in dimension of time on assessment, implementation, and evaluation, and comprehension on assessment, absence of physical nursing standards, limited knowledge on nursing documentation evoked by absence of inhouse training about nursing documentation, ineffective supervision and audit were factors which affecting nursing documentation at Rumah Sakit Jiwa Menur Surabaya. The researcher recommended that the hospital manager should modificate the nursing documentation form using NIC & NOC of NANDA and computerized system, compose physical nursing standards, carry out advanced nursing education and inhouse training about nursing care documentation, improve supervision program, and nursing documentation audit.

Application of ultrasound in fetal cardiac abnormalitis screening and analyzing of influencing factors

International Nuclear Information System (INIS)

Wu Wei; Chen Hui; Guo Hua; Fu Lijuan

2009-01-01

Objective: To identify the application value of ultrasound in the screening of fetal cardiac abnormalities and to reduce its affecting factors, in order to maximally decrease the birth of oaf. Methods: Adopting the method of four chamber hearts cross-section and sound beam plane head laterodeviation, 3821 fetal hearts were screened by ultrasonocardiography in middle and late fetal period. The influencing factors were also analyzed. Screening results were compared with the autopsy following induced labor and the ultrasonocardiogram after borne. Results: Total 23 cases of the cardiac anomalies were confirmed by odinopoeia or after borned, 21 cases were diagnosed by antepartum ultrasonocardiography, the detectable rate were 91.3%(21/23). And the complex cardiac anomalies were 19 cases, accounted for 82.61%(19/23), the general malformation were 4 cases, accounted for 17.39%(4/23). In 19 cases of the complex anomalies, 17 cases were diagnosed by antepartum examination in the first time, 2 cases were diagnosed by reexamination, the total detectable rate were 100%(19/19). Conclusion: Ultrasonography is not only non-invasive but also unique method in detecting fetal heart defects. It will help to diagnose definitely the vast majority of congenital malformation in the fetal heart, especially complex malformation in the middle and later fetal period. There are some limitations and chronergy in ultrasonography for the screening of fetal heart defects, which should be followed-up when the fetal appeared 'normal' in the early screening. (authors)

Analyzing impact factors of CO2 emissions using the STIRPAT model

International Nuclear Information System (INIS)

Fan Ying; Liu Lancui; Wu Gang; Wei Yiming

2006-01-01

Using the STIRPAT model, this paper analyzes the impact of population, affluence and technology on the total CO 2 emissions of countries at different income levels over the period 1975-2000. Our main results show at the global level that economic growth has the greatest impact on CO 2 emissions, and the proportion of the population between ages 15 and 64 has the least impact. The proportion of the population between 15 and 64 has a negative impact on the total CO 2 emissions of countries at the high income level, but the impact is positive at other income levels. This may illustrate the importance of the 'B' in the 'I = PABT'; that is to say that different behavior fashions can greatly influence environmental change. For low-income countries, the impact of GDP per capita on total CO 2 emissions is very great, and the impact of energy intensity in upper-middle income countries is very great. The impact of these factors on the total CO 2 emissions of countries at the high income level is relatively great. Therefore, these empirical results indicate that the impact of population, affluence and technology on CO 2 emissions varies at different levels of development. Thus, policy-makers should consider these matters fully when they construct their long-term strategies for CO 2 abatement

A decision support system prototype including human factors based on the TOGA meta-theory approach

International Nuclear Information System (INIS)

Cappelli, M.; Memmi, F.; Gadomski, A. M.; Sepielli, M.

2012-01-01

The human contribution to the risk of operation of complex technological systems is often not negligible and sometimes tends to become significant, as shown by many reports on incidents and accidents occurred in the past inside Nuclear Power Plants (NPPs). An error of a human operator of a NPP can derive by both omission and commission. For instance, complex commission errors can also lead to significant catastrophic technological accidents, as for the case of the Three Mile Island accident. Typically, the problem is analyzed by focusing on the single event chain that has provoked the incident or accident. What is needed is a general framework able to include as many parameters as possible, i.e. both technological and human factors. Such a general model could allow to envisage an omission or commission error before it can happen or, alternatively, suggest preferred actions to do in order to take countermeasures to neutralize the effect of the error before it becomes critical. In this paper, a preliminary Decision Support System (DSS) based on the so-called (-) TOGA meta-theory approach is presented. The application of such a theory to the management of nuclear power plants has been presented in the previous ICAPP 2011. Here, a human factor simulator prototype is proposed in order to include the effect of human errors in the decision path. The DSS has been developed using a TRIGA research reactor as reference plant, and implemented using the LabVIEW programming environment and the Finite State Machine (FSM) model The proposed DSS shows how to apply the Universal Reasoning Paradigm (URP) and the Universal Management Paradigm (UMP) to a real plant context. The DSS receives inputs from instrumentation data and gives as output a suggested decision. It is obtained as the result of an internal elaborating process based on a performance function. The latter, describes the degree of satisfaction and efficiency, which are dependent on the level of responsibility related to

An ISM approach for analyzing the factors in technology transfer

Directory of Open Access Journals (Sweden)

Mohammad Mahdavi Mazdeh

2015-07-01

Full Text Available Technology transfer, from research and technology organizations (RTOs toward local industries, is considered as one of important and significant strategies for countries' industrial development. In addition to recover the enormous costs of research and development for RTOs, successful technology transfer from RTOs toward local firms forms technological foundations and develops the ability to enhance the competitiveness of firms. Better understanding of factors influencing process of technology transfer helps RTOs and local firms prioritize and manage their resources in an effective and efficient way to maximize the success of technology transfer. This paper aims to identify important effective factors in technology transfer from Iranian RTOs and provides a comprehensive model, which indicate the interactions of these factors. In this regard, first, research background is reviewed and Cummings and Teng’s model (2003 [Cummings, J. L., & Teng, B.-S. (2003. Transferring R&D knowledge: The key factors affecting knowledge transfer success. Journal of Engineering and Technology Management, 20(1-2, 39-68.] was selected as the basic model in this study and it was modified through suggesting new factors identified from literature of inter-organizational knowledge and technology transfer and finally a Delphi method was applied for validation of modified model. Then, research conducted used Interpretive Structural Modeling (ISM to evaluate the relationship between the factors of final proposed model. Results indicate that there were twelve factors influencing on technology transfer process from Iranian RTOs to local firms and also the intensity of absorption capability in transferee could influence on the intensity of desorption capability in transferor.

ANALYZING CONSUMER BEHAVIOR IN BANKING SECTOR OF KOSOVO

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Vjosa Fejza

2017-12-01

Full Text Available Considering the importance of understanding, analyzing and studying consumer behavior and behavior model, it was deemed necessary to conduct a research on this issue. As part of this research, consumer behavior models in the banking system of Kosovo were studied and analyzed. The first part of the study is characterized by a review of various literature, publications and scientific journals related to understanding the role and importance of consumer behavior in enterprises. Whereas the second part of the study includes a survey questionnaire, with a 500 individual client sample base, randomly selected from commercial banks in Kosovo. This survey was done with the purpose to collect data to determine behavior models of existing consumers in the banking sector and analyze various internal and external factors which influence such behaviors. Finally, data obtained from questionnaire surveys were used to draw conclusions on issues central to this research and issue recommendations which may be useful to commercial banks currently operating in Kosovo, as well as other financial institutions interested in this field.

A Categorization of Dynamic Analyzers

Science.gov (United States)

Lujan, Michelle R.

1997-01-01

Program analysis techniques and tools are essential to the development process because of the support they provide in detecting errors and deficiencies at different phases of development. The types of information rendered through analysis includes the following: statistical measurements of code, type checks, dataflow analysis, consistency checks, test data,verification of code, and debugging information. Analyzers can be broken into two major categories: dynamic and static. Static analyzers examine programs with respect to syntax errors and structural properties., This includes gathering statistical information on program content, such as the number of lines of executable code, source lines. and cyclomatic complexity. In addition, static analyzers provide the ability to check for the consistency of programs with respect to variables. Dynamic analyzers in contrast are dependent on input and the execution of a program providing the ability to find errors that cannot be detected through the use of static analysis alone. Dynamic analysis provides information on the behavior of a program rather than on the syntax. Both types of analysis detect errors in a program, but dynamic analyzers accomplish this through run-time behavior. This paper focuses on the following broad classification of dynamic analyzers: 1) Metrics; 2) Models; and 3) Monitors. Metrics are those analyzers that provide measurement. The next category, models, captures those analyzers that present the state of the program to the user at specified points in time. The last category, monitors, checks specified code based on some criteria. The paper discusses each classification and the techniques that are included under them. In addition, the role of each technique in the software life cycle is discussed. Familiarization with the tools that measure, model and monitor programs provides a framework for understanding the program's dynamic behavior from different, perspectives through analysis of the input

On-Demand Urine Analyzer

Science.gov (United States)

Farquharson, Stuart; Inscore, Frank; Shende, Chetan

2010-01-01

A lab-on-a-chip was developed that is capable of extracting biochemical indicators from urine samples and generating their surface-enhanced Raman spectra (SERS) so that the indicators can be quantified and identified. The development was motivated by the need to monitor and assess the effects of extended weightlessness, which include space motion sickness and loss of bone and muscle mass. The results may lead to developments of effective exercise programs and drug regimes that would maintain astronaut health. The analyzer containing the lab-on-a- chip includes materials to extract 3- methylhistidine (a muscle-loss indicator) and Risedronate (a bone-loss indicator) from the urine sample and detect them at the required concentrations using a Raman analyzer. The lab-on- a-chip has both an extractive material and a SERS-active material. The analyzer could be used to monitor the onset of diseases, such as osteoporosis.

Prediction and Factor Extraction of Drug Function by Analyzing Medical Records in Developing Countries.

Science.gov (United States)

Hu, Min; Nohara, Yasunobu; Nakamura, Masafumi; Nakashima, Naoki

2017-01-01

The World Health Organization has declared Bangladesh one of 58 countries facing acute Human Resources for Health (HRH) crisis. Artificial intelligence in healthcare has been shown to be successful for diagnostics. Using machine learning to predict pharmaceutical prescriptions may solve HRH crises. In this study, we investigate a predictive model by analyzing prescription data of 4,543 subjects in Bangladesh. We predict the function of prescribed drugs, comparing three machine-learning approaches. The approaches compare whether a subject shall be prescribed medicine from the 21 most frequently prescribed drug functions. Receiver Operating Characteristics (ROC) were selected as a way to evaluate and assess prediction models. The results show the drug function with the best prediction performance was oral hypoglycemic drugs, which has an average AUC of 0.962. To understand how the variables affect prediction, we conducted factor analysis based on tree-based algorithms and natural language processing techniques.

The Benefits of Including Clinical Factors in Rectal Normal Tissue Complication Probability Modeling After Radiotherapy for Prostate Cancer

International Nuclear Information System (INIS)

Defraene, Gilles; Van den Bergh, Laura; Al-Mamgani, Abrahim; Haustermans, Karin; Heemsbergen, Wilma; Van den Heuvel, Frank; Lebesque, Joos V.

2012-01-01

Purpose: To study the impact of clinical predisposing factors on rectal normal tissue complication probability modeling using the updated results of the Dutch prostate dose-escalation trial. Methods and Materials: Toxicity data of 512 patients (conformally treated to 68 Gy [n = 284] and 78 Gy [n = 228]) with complete follow-up at 3 years after radiotherapy were studied. Scored end points were rectal bleeding, high stool frequency, and fecal incontinence. Two traditional dose-based models (Lyman-Kutcher-Burman (LKB) and Relative Seriality (RS) and a logistic model were fitted using a maximum likelihood approach. Furthermore, these model fits were improved by including the most significant clinical factors. The area under the receiver operating characteristic curve (AUC) was used to compare the discriminating ability of all fits. Results: Including clinical factors significantly increased the predictive power of the models for all end points. In the optimal LKB, RS, and logistic models for rectal bleeding and fecal incontinence, the first significant (p = 0.011–0.013) clinical factor was “previous abdominal surgery.” As second significant (p = 0.012–0.016) factor, “cardiac history” was included in all three rectal bleeding fits, whereas including “diabetes” was significant (p = 0.039–0.048) in fecal incontinence modeling but only in the LKB and logistic models. High stool frequency fits only benefitted significantly (p = 0.003–0.006) from the inclusion of the baseline toxicity score. For all models rectal bleeding fits had the highest AUC (0.77) where it was 0.63 and 0.68 for high stool frequency and fecal incontinence, respectively. LKB and logistic model fits resulted in similar values for the volume parameter. The steepness parameter was somewhat higher in the logistic model, also resulting in a slightly lower D 50 . Anal wall DVHs were used for fecal incontinence, whereas anorectal wall dose best described the other two endpoints. Conclusions

The Benefits of Including Clinical Factors in Rectal Normal Tissue Complication Probability Modeling After Radiotherapy for Prostate Cancer

Energy Technology Data Exchange (ETDEWEB)

Defraene, Gilles, E-mail: gilles.defraene@uzleuven.be [Radiation Oncology Department, University Hospitals Leuven, Leuven (Belgium); Van den Bergh, Laura [Radiation Oncology Department, University Hospitals Leuven, Leuven (Belgium); Al-Mamgani, Abrahim [Department of Radiation Oncology, Erasmus Medical Center - Daniel den Hoed Cancer Center, Rotterdam (Netherlands); Haustermans, Karin [Radiation Oncology Department, University Hospitals Leuven, Leuven (Belgium); Heemsbergen, Wilma [Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam (Netherlands); Van den Heuvel, Frank [Radiation Oncology Department, University Hospitals Leuven, Leuven (Belgium); Lebesque, Joos V. [Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam (Netherlands)

2012-03-01

Purpose: To study the impact of clinical predisposing factors on rectal normal tissue complication probability modeling using the updated results of the Dutch prostate dose-escalation trial. Methods and Materials: Toxicity data of 512 patients (conformally treated to 68 Gy [n = 284] and 78 Gy [n = 228]) with complete follow-up at 3 years after radiotherapy were studied. Scored end points were rectal bleeding, high stool frequency, and fecal incontinence. Two traditional dose-based models (Lyman-Kutcher-Burman (LKB) and Relative Seriality (RS) and a logistic model were fitted using a maximum likelihood approach. Furthermore, these model fits were improved by including the most significant clinical factors. The area under the receiver operating characteristic curve (AUC) was used to compare the discriminating ability of all fits. Results: Including clinical factors significantly increased the predictive power of the models for all end points. In the optimal LKB, RS, and logistic models for rectal bleeding and fecal incontinence, the first significant (p = 0.011-0.013) clinical factor was 'previous abdominal surgery.' As second significant (p = 0.012-0.016) factor, 'cardiac history' was included in all three rectal bleeding fits, whereas including 'diabetes' was significant (p = 0.039-0.048) in fecal incontinence modeling but only in the LKB and logistic models. High stool frequency fits only benefitted significantly (p = 0.003-0.006) from the inclusion of the baseline toxicity score. For all models rectal bleeding fits had the highest AUC (0.77) where it was 0.63 and 0.68 for high stool frequency and fecal incontinence, respectively. LKB and logistic model fits resulted in similar values for the volume parameter. The steepness parameter was somewhat higher in the logistic model, also resulting in a slightly lower D{sub 50}. Anal wall DVHs were used for fecal incontinence, whereas anorectal wall dose best described the other two endpoints

Behavioral factors to include in guidelines for lifelong oral healthiness: an observational study in Japanese adults

Directory of Open Access Journals (Sweden)

Shimozato Miho

2006-12-01

Full Text Available Abstract Background The aim of this study was to determine which behavioral factors to include in guidelines for the Japanese public to achieve an acceptable level of oral healthiness. The objective was to determine the relationship between oral health related behaviors and symptoms related to oral disease and tooth loss in a Japanese adult community. Methods Oral health status and lifestyle were investigated in 777 people aged 20 years and older (390 men and 387 women. Subjects were asked to complete a postal questionnaire concerning past diet and lifestyle. The completed questionnaires were collected when they had health examinations. The 15 questions included their preference for sweets, how many between-meal snacks they usually had per day, smoking and drinking habits, presence of oral symptoms, and attitudes towards dental visits. Participants were asked about their behaviors at different stages of their life. The oral health examinations included examination of the oral cavity and teeth performed by dentists using WHO criteria. Odds ratios were calculated for all subjects, all 10 year age groups, and for subjects 30 years or older, 40 years or older, 50 years or older, and 60 years or older. Results Frequency of tooth brushing (OR = 3.98, having your own toothbrush (OR = 2.11, smoking (OR = 2.71 and bleeding gums (OR = 2.03 were significantly associated with number of retained teeth in males. Frequency of between-meal snacks was strongly associated with number of retained teeth in females (OR = 4.67. Having some hobbies (OR = 2.97, having a family dentist (OR = 2.34 and consulting a dentist as soon as symptoms occurred (OR = 1.74 were significantly associated with number of retained teeth in females. Factors that were significantly associated with tooth loss in both males and females included alcohol consumption (OR = 11.96, males, OR = 3.83, females, swollen gums (OR = 1.93, males, OR = 3.04, females and toothache (OR = 3.39, males, OR

Analyzing the impact of human capital factors on competitivenes

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Óhegyi Katalin

2014-01-01

Full Text Available There are a number of approaches to measure national competitiveness. However, in these reports human capital typically appears indirectly. The author's purpose is to uncover how human capital contributes to competitiveness of economies and to propose an approach to identify the most effective improvement opportunities for countries, illustrated on the example of Hungary. The analysis is based on the data of the Global Talent Index Report (2011 and the Global Competitiveness Report 2012-2013. The components of the Global Talent Index (GTI and their relation to the Global Competitiveness Index (GCI were analyzed with a linear programming based similarity analysis method, component-based object comparison for objectivity (COCO. Based on the output of the analysis it was identified how sensitive the Global Competitiveness Index is to the components of the GTI. Hungary's position was analyzed further to quantify improvement opportunities and threats based on the step function resulted by the COCO analysis. The author concludes that the human resource of a country is a pivotal element of national competitiveness. By developing human capital of the country the overall competitive position may be improved. Areas of priorities may be identified and the level of intervention may be quantified specific to a country. This could help policy makers to decide in the allocation of resource to maximize effectiveness, leading to improve (or protect a country's overall competitive position in the global arena.

Loviisa nuclear power plant analyzer

International Nuclear Information System (INIS)

Porkholm, K.; Nurmilaukas, P.; Tiihonen, O.; Haenninen, M.; Puska, E.

1992-12-01

The APROS Simulation Environment has been developed since 1986 by Imatran Voima Oy (IVO) and the Technical Research Centre of Finland (VTT). It provides tools, solution algorithms and process components for use in different simulation systems for design, analysis and training purposes. One of its main nuclear applications is the Loviisa Nuclear Power Plant Analyzer (LPA). The Loviisa Plant Analyzer includes all the important plant components both in the primary and in the secondary circuits. In addition, all the main control systems, the protection system and the high voltage electrical systems are included. (orig.)

Multidimensional journal evaluation analyzing scientific periodicals beyond the impact factor

CERN Document Server

Haustein, Stefanie

2012-01-01

Scientific communication depends primarily on publishing in journals. The most important indicator to determine the influence of a journal is the Impact Factor. Since this factor only measures the average number of citations per article in a certain time window, it can be argued that it does not reflect the actual value of a periodical. This book defines five dimensions, which build a framework for a multidimensional method of journal evaluation. The author is winner of the Eugene Garfield Doctoral Dissertation Scholarship 2011.

Calculation of Permeability inside the Basket including one Fuel Assembly

Energy Technology Data Exchange (ETDEWEB)

Yu, Seung Hwan; Bang, Kyung Sik; Lee, Ju an; Choi, Woo Seok [KAERI, Daejeon (Korea, Republic of)

2016-05-15

In general, the porous media model and the effective thermal conductivity were used to simply the fuel assembly. The methods of calculating permeability were compared considering the flow inside a basket which includes a nuclear fuel. Detailed fuel assembly was a computational modeling and the flow characteristics were investigated. The flow inside the basket which included a fuel assembly is analyzed by CFD. As the height of the fuel assembly increases, the pressure drop linearly increased. The inertia resistance could be neglected. Three methods to calculate the permeability were compared. The permeability by the friction factor is 50% less than the permeability by wall shear stress and pressure drop.

Logistic Regression and Path Analysis Method to Analyze Factors influencing Students’ Achievement

Science.gov (United States)

Noeryanti, N.; Suryowati, K.; Setyawan, Y.; Aulia, R. R.

2018-04-01

Students' academic achievement cannot be separated from the influence of two factors namely internal and external factors. The first factors of the student (internal factors) consist of intelligence (X1), health (X2), interest (X3), and motivation of students (X4). The external factors consist of family environment (X5), school environment (X6), and society environment (X7). The objects of this research are eighth grade students of the school year 2016/2017 at SMPN 1 Jiwan Madiun sampled by using simple random sampling. Primary data are obtained by distributing questionnaires. The method used in this study is binary logistic regression analysis that aims to identify internal and external factors that affect student’s achievement and how the trends of them. Path Analysis was used to determine the factors that influence directly, indirectly or totally on student’s achievement. Based on the results of binary logistic regression, variables that affect student’s achievement are interest and motivation. And based on the results obtained by path analysis, factors that have a direct impact on student’s achievement are students’ interest (59%) and students’ motivation (27%). While the factors that have indirect influences on students’ achievement, are family environment (97%) and school environment (37).

Teacher Attitudes on Including Students with Behavior Intervention Plans in a High-School Inclusive Classroom

Science.gov (United States)

Tucker, Thurman D.

2017-01-01

This research examined attitudes to determine factors influencing teachers' attitudes toward including students with behavior intervention plans in inclusive high-school classrooms. For Research Question 1 one-way ANOVAs analyzed quantitative data with no significant differences found and qualitative data discovered common patterns that BIPs are…

SUBSTANTIATION OF THE COST OF HOUSING CONSTRUCTION INCLUDING THE FACTOR OF INVESTMENT ATTRACTIVENESS OF TERRITORIES

Directory of Open Access Journals (Sweden)

ZAIATS Yi. I.

2015-11-01

Full Text Available Problem statement. For planning and organization of urban construction is necessary to analyze the use of areas. Territorial resources of the city, being used for construction and other urban purposes, consists of plots of land: disposable, reserved and undeveloped in previous years of construction in progress; residential districts and blocks of obsolete housing fund; industrial and municipal and warehouse enterprises being used irrationally or stopped to work; the defence department, where the amortized warehouses and other main funds are that are not used by purpose; agricultural enterprises where the obsolete industrial funds, haying, nurseries, greenhouses. The number of free areas suitable for future urban development is extremely limited. However a considerable part of the territories of almost all functional zones is used inefficiently. Purpose. Formalization of a factor of investment attractiveness of territories for the further identification and research of the connection between it and the cost of housing construction is necessary. Conclusion. The identification of regularities of influence of the factor of investment attractiveness of territories on the cost of construction of high-rise buildings allow to obtain a quantitative estimate of this effect and can be used in the development of the methodology of substantiation of the expediency and effectiveness of the implementation of highrise construction projects, based on organizational and technological aspects.

Centrifugal analyzer development

International Nuclear Information System (INIS)

Burtis, C.A.; Bauer, M.L.; Bostick, W.D.

1976-01-01

The development of the centrifuge fast analyzer (CFA) is reviewed. The development of a miniature CFA with computer data analysis is reported and applications for automated diagnostic chemical and hematological assays are discussed. A portable CFA system with microprocessor was adapted for field assays of air and water samples for environmental pollutants, including ammonia, nitrates, nitrites, phosphates, sulfates, and silica. 83 references

A Study Analyzing the Career Path of Librarians

Science.gov (United States)

Noh, Younghee

2010-01-01

This study aims to identify the career movement patterns of librarians, analyze factors influencing their career movements, and compare differences in such factors between librarians and chief librarians. Findings showed that the jobs with the highest retention rate were those in public libraries, that library automation system developers showed…

Analyzing the impact of social factors on homelessness: a fuzzy cognitive map approach.

Science.gov (United States)

Mago, Vijay K; Morden, Hilary K; Fritz, Charles; Wu, Tiankuang; Namazi, Sara; Geranmayeh, Parastoo; Chattopadhyay, Rakhi; Dabbaghian, Vahid

2013-08-23

The forces which affect homelessness are complex and often interactive in nature. Social forces such as addictions, family breakdown, and mental illness are compounded by structural forces such as lack of available low-cost housing, poor economic conditions, and insufficient mental health services. Together these factors impact levels of homelessness through their dynamic relations. Historic models, which are static in nature, have only been marginally successful in capturing these relationships. Fuzzy Logic (FL) and fuzzy cognitive maps (FCMs) are particularly suited to the modeling of complex social problems, such as homelessness, due to their inherent ability to model intricate, interactive systems often described in vague conceptual terms and then organize them into a specific, concrete form (i.e., the FCM) which can be readily understood by social scientists and others. Using FL we converted information, taken from recently published, peer reviewed articles, for a select group of factors related to homelessness and then calculated the strength of influence (weights) for pairs of factors. We then used these weighted relationships in a FCM to test the effects of increasing or decreasing individual or groups of factors. Results of these trials were explainable according to current empirical knowledge related to homelessness. Prior graphic maps of homelessness have been of limited use due to the dynamic nature of the concepts related to homelessness. The FCM technique captures greater degrees of dynamism and complexity than static models, allowing relevant concepts to be manipulated and interacted. This, in turn, allows for a much more realistic picture of homelessness. Through network analysis of the FCM we determined that Education exerts the greatest force in the model and hence impacts the dynamism and complexity of a social problem such as homelessness. The FCM built to model the complex social system of homelessness reasonably represented reality for the

Mixture Of Probabilistic Factor Analyzers For Market Risk Measurement: Empirical Evidence From The Tunisian Foreign Exchange Market

Directory of Open Access Journals (Sweden)

Mohamed Nidhal Mosbahi

2017-05-01

Full Text Available In this paper, we propose a new approach for Basel-Compliant Value-at-Risk (VaR estimation in financial portfolio risk management, which combines Gaussian Mixture Models with probabilistic factor analysis models. This new mixed specification provides an alternative, compact, model to handle co-movements, heterogeneity and intra-frame correlations in financial data. This results in a model which concurrently performs clustering and dimensionality reduction, and can be considered as a reduced dimension mixture of probabilistic factor analyzers. For maximum likelihood estimation we have used an iterative approach based on the Alternating Expectation Conditional Maximization (AECM algorithm. Using a set of historical data in a rolling time window, from the Tunisian foreign exchange market, the model structure as well as its parameters are determined and estimated. Then, the fitted model combined with a modified Monte-Carlo simulation algorithm was used to predict the VaR. Through a Backtesting analysis, we found that this new specification exhibits a good fit to the data compared to other competing approaches, improves the accuracy of VaR prediction, possesses more flexibility, and can avoid serious violations when a financial crisis occurs.

Analyzing farming systems diversity: a case study in south-western France

Energy Technology Data Exchange (ETDEWEB)

Choisis, J. P.; Thevenet, C.; Girbon, A.

2012-11-01

The huge changes in agricultural activities, which may be amplified by the forthcoming Common Agriculture Policy reform, call the future of crop-livestock systems into question and hence the impact of these changes on landscapes and biodiversity. We analyzed relationships between agriculture, landscape and biodiversity in south-western France. The study area covered about 4,000 ha and included four villages. We conducted a survey of 56 farms. Multivariate analysis (multiple factor analysis and cluster analysis) were used to analyze relationships between 25 variables and to build a typology. The type of farming (beef and/or dairy cattle, cash crops), size (area and workforce) and cultivation practices, among others, were revealed as differentiating factors of farms. Six farming types were identified (1) hillside mixed crop-livestock farms, (2) large corporate farms, (3) extensive cattle farms, (4) large intensive farms on the valley sides, (5) small multiple-job holdings, and (6) hobby farms. The diversity of farming systems revealed the variable impact of the main drivers of change affecting agricultural development, particularly the enlargement and modernization of farms along with the demography of agricultural holdings. (Author) 41 refs.

Analyzing Political Television Advertisements.

Science.gov (United States)

Burson, George

1992-01-01

Presents a lesson plan to help students understand that political advertisements often mislead, lie, or appeal to emotion. Suggests that the lesson will enable students to examine political advertisements analytically. Includes a worksheet to be used by students to analyze individual political advertisements. (DK)

Comparative usefulness of inflammatory markers to indicate bacterial infection-analyzed according to blood culture results and related clinical factors.

Science.gov (United States)

Nishikawa, Hirokazu; Shirano, Michinori; Kasamatsu, Yu; Morimura, Ayumi; Iida, Ko; Kishi, Tomomi; Goto, Tetsushi; Okamoto, Saki; Ehara, Eiji

2016-01-01

To assess relationships of inflammatory markers and 2 related clinical factors with blood culture results, we retrospectively investigated inpatients' blood culture and blood chemistry findings that were recorded from January to December 2014 using electronic medical records and analyzed the data of 852 subjects (426 culture-positive and 426 culture-negative). Results suggested that the risk of positive blood culture statistically increased as inflammatory marker levels and the number of related factors increased. Concerning the effectiveness of inflammatory markers, when the outcome definition was also changed for C-reactive protein (CRP), the odds ratio had a similar value, whereas when the outcome definition of blood culture positivity was used for procalcitonin (PCT), the greatest effectiveness of that was detected. Therefore, the current results suggest that PCT is more useful than CRP as an auxiliary indication of bacterial infection. Copyright © 2016 Elsevier Inc. All rights reserved.

Analyzing and comparing the dynamic response of test reactor main workshop

International Nuclear Information System (INIS)

Wang Jiachun; Fu Jiyang; Cai Laizhong

2001-01-01

Analyzing soil-structure interaction is an important section in anti-seismic design and analysis of nuclear engineering. The factors that influence on the response of nuclear structures include the properties of earthquake, soil and structures. So the soil-structure interaction in the non-rock foundation is different from that in the surface free field. And the interaction must be considered under the anti-seismic design standard of test reactors. The FLUSH program and SASSI2000 are applied to dynamic analysis. Moreover, comparing the obtained data and diagrams draws some conclusions

Classification analysis of organization factors related to system safety

International Nuclear Information System (INIS)

Liu Huizhen; Zhang Li; Zhang Yuling; Guan Shihua

2009-01-01

This paper analyzes the different types of organization factors which influence the system safety. The organization factor can be divided into the interior organization factor and exterior organization factor. The latter includes the factors of political, economical, technical, law, social culture and geographical, and the relationships among different interest groups. The former includes organization culture, communication, decision, training, process, supervision and management and organization structure. This paper focuses on the description of the organization factors. The classification analysis of the organization factors is the early work of quantitative analysis. (authors)

On Modeling and Analyzing Cost Factors in Information Systems Engineering

NARCIS (Netherlands)

Mutschler, B.B.; Reichert, M.U.

Introducing enterprise information systems (EIS) is usually associated with high costs. It is therefore crucial to understand those factors that determine or influence these costs. Though software cost estimation has received considerable attention during the last decades, it is difficult to apply

Biomedical sensing analyzer (BSA) for mobile-health (mHealth)-LTE.

Science.gov (United States)

Adibi, Sasan

2014-01-01

The rapid expansion of mobile-based systems, the capabilities of smartphone devices, as well as the radio access and cellular network technologies are the wind beneath the wing of mobile health (mHealth). In this paper, the concept of biomedical sensing analyzer (BSA) is presented, which is a novel framework, devised for sensor-based mHealth applications. The BSA is capable of formulating the Quality of Service (QoS) measurements in an end-to-end sense, covering the entire communication path (wearable sensors, link-technology, smartphone, cell-towers, mobile-cloud, and the end-users). The characterization and formulation of BSA depend on a number of factors, including the deployment of application-specific biomedical sensors, generic link-technologies, collection, aggregation, and prioritization of mHealth data, cellular network based on the Long-Term Evolution (LTE) access technology, and extensive multidimensional delay analyses. The results are studied and analyzed in a LabView 8.5 programming environment.

Children and adolescents' internal models of food-sharing behavior include complex evaluations of contextual factors.

Science.gov (United States)

Markovits, Henry; Benenson, Joyce F; Kramer, Donald L

2003-01-01

This study examined internal representations of food sharing in 589 children and adolescents (8-19 years of age). Questionnaires, depicting a variety of contexts in which one person was asked to share a resource with another, were used to examine participants' expectations of food-sharing behavior. Factors that were varied included the value of the resource, the relation between the two depicted actors, the quality of this relation, and gender. Results indicate that internal models of food-sharing behavior showed systematic patterns of variation, demonstrating that individuals have complex contextually based internal models at all ages, including the youngest. Examination of developmental changes in use of individual patterns is consistent with the idea that internal models reflect age-specific patterns of interactions while undergoing a process of progressive consolidation.

Analyzer for gamma cameras diagnostic

International Nuclear Information System (INIS)

Oramas Polo, I.; Osorio Deliz, J. F.; Diaz Garcia, A.

2013-01-01

This research work was carried out to develop an analyzer for gamma cameras diagnostic. It is composed of an electronic system that includes hardware and software capabilities, and operates from the acquisition of the 4 head position signals of a gamma camera detector. The result is the spectrum of the energy delivered by nuclear radiation coming from the camera detector head. This system includes analog processing of position signals from the camera, digitization and the subsequent processing of the energy signal in a multichannel analyzer, sending data to a computer via a standard USB port and processing of data in a personal computer to obtain the final histogram. The circuits are composed of an analog processing board and a universal kit with micro controller and programmable gate array. (Author)

Dependencies in event trees analyzed by Petri nets

International Nuclear Information System (INIS)

Nývlt, Ondřej; Rausand, Marvin

2012-01-01

This paper discusses how non-marked Petri nets can be used to model and analyze event trees where the pivotal (branching) events are dependent and modeled by fault trees. The dependencies may, for example, be caused by shared utilities, shared components, or general common cause failures that are modeled by beta-factor models. These dependencies are cumbersome to take into account when using standard event-/fault tree modeling techniques, and may lead to significant errors in the calculated end-state probabilities of the event tree if they are not properly analyzed. A new approach is proposed in this paper, where the whole event tree is modeled by a non-marked Petri net and where P-invariants, representing the structural properties of the Petri net, are used to obtain the frequency of each end-state of the event tree with dependencies. The new approach is applied to a real example of an event tree analysis of the Strahov highway tunnel in Prague, Czech Republic, including two types of dependencies (shared Programmable Logic Controllers and Common Cause Failures). - Highlights: ► In this paper, we model and analyze event trees (ET) using Petri nets. ► The pivotal events of the modeled event trees are dependent (e.g., shared PLCs, CCF). ► A new method based on P-invariants to obtain probabilities of end states is proposed. ► Method is shown in the case study of the Stahov tunnel in the Czech Republic.

The security analyzer: A security analyzer program written in Prolog

International Nuclear Information System (INIS)

Zimmerman, B.D.; Densley, P.J.

1986-09-01

The Security Analyzer is a software tool capable of analyzing the effectiveness of a facility's security system. It is written in the Prolog logic programming computer language, using entity-relationship data modeling techniques. The program performs the following functions: (1) provides descriptive, locational and operational status information about intrusion detectors and assessment devices (i.e., ''sensors'' and ''cameras'') upon request; (2) provides for storage and retrieval of maintenance history information for various components of the security system (including intrusion detectors), and allows for changing that information as desired; (3) provides a ''search'' mode, wherein all paths are found from any specified physical location to another specified location which satisfy user chosen ''intruder detection'' probability and elapsed time criteria (i.e., the program finds the ''weakest paths'' from a security point of view). The first two of these functions can be provided fairly easily with a conventional database program; the third function could be provided using Fortran or some similar language, though with substantial difficulty. In the Security Analyzer program, all these functions are provided in a simple and straight-forward manner. This simplicity is possible because the program is written in the symbolic (as opposed to numeric) processing language Prolog, and because the knowledge base is structured according to entity-relationship modeling principles. Also, the use of Prolog and the entity-relationship modeling technique allows the capabilities of the Security analyzer program, both for knowledge base interrogation and for searching-type operations, to be easily expanded in ways that would be very difficult for a numeric and more algorithmically deterministic language such as Fortran to duplicate. 4 refs

Analyzing Big Data in Psychology: A Split/Analyze/Meta-Analyze Approach

Directory of Open Access Journals (Sweden)

Mike W.-L. Cheung

2016-05-01

Full Text Available Big data is a field that has traditionally been dominated by disciplines such as computer science and business, where mainly data-driven analyses have been performed. Psychology, a discipline in which a strong emphasis is placed on behavioral theories and empirical research, has the potential to contribute greatly to the big data movement. However, one challenge to psychologists – and probably the most crucial one – is that most researchers may not have the necessary programming and computational skills to analyze big data. In this study we argue that psychologists can also conduct big data research and that, rather than trying to acquire new programming and computational skills, they should focus on their strengths, such as performing psychometric analyses and testing theories using multivariate analyses to explain phenomena. We propose a split/analyze/meta-analyze approach that allows psychologists to easily analyze big data. Two real datasets are used to demonstrate the proposed procedures in R. A new research agenda related to the analysis of big data in psychology is outlined at the end of the study.

Analyzing Big Data in Psychology: A Split/Analyze/Meta-Analyze Approach.

Science.gov (United States)

Cheung, Mike W-L; Jak, Suzanne

2016-01-01

Big data is a field that has traditionally been dominated by disciplines such as computer science and business, where mainly data-driven analyses have been performed. Psychology, a discipline in which a strong emphasis is placed on behavioral theories and empirical research, has the potential to contribute greatly to the big data movement. However, one challenge to psychologists-and probably the most crucial one-is that most researchers may not have the necessary programming and computational skills to analyze big data. In this study we argue that psychologists can also conduct big data research and that, rather than trying to acquire new programming and computational skills, they should focus on their strengths, such as performing psychometric analyses and testing theories using multivariate analyses to explain phenomena. We propose a split/analyze/meta-analyze approach that allows psychologists to easily analyze big data. Two real datasets are used to demonstrate the proposed procedures in R. A new research agenda related to the analysis of big data in psychology is outlined at the end of the study.

Environmental applications of the centrifugal fast analyzer

International Nuclear Information System (INIS)

Goldstein, G.; Strain, J.E.; Bowling, J.L.

1975-12-01

The centrifugal fast analyzer (GeMSAEC Fast Analyzer) was applied to the analysis of pollutants in air and water. Since data acquisition and processing are computer controlled, considerable effort went into devising appropriate software. A modified version of the standard FOCAL interpreter was developed which includes special machine language functions for data timing, acquisition, and storage, and also permits chaining together of programs stored on a disk. Programs were written and experimental procedures developed to implement spectrophotometric, turbidimetric, kinetic (including initial-rate, fixed-time, and variable-time techniques), and chemiluminescence methods of analysis. Analytical methods were developed for the following elements and compounds: SO 2 , O 3 , Ca, Cr, Cu, Fe, Mg, Se(IV), Zn, Cl - , I - , NO 2 - , PO 4 -3 , S -2 , and SO 4 -2 . In many cases, standard methods could be adapted to the centrifugal analyzer, in others new methods were employed. In general, analyses performed with the centrifugal fast analyzer were faster, more precise, and more accurate than with conventional instrumentation

Analyzing injury severity of bus passengers with different movements.

Science.gov (United States)

Li, Duo; Zhao, Yifei; Bai, Qiang; Zhou, Bei; Ling, Hongbiao

2017-07-04

Though public transport vehicles are rarely involved in mass casualty accidents, when they are, the number of injuries and fatalities is usually high due to the high passenger capacity. Of the few studies that have been conducted on bus safety, the majority focused on vehicle safety features, road environmental factors, as well as driver characteristics. Nevertheless, few studies have attempted to investigate the underlying risk factors related to bus occupants. This article presents an investigation aimed at identifying the risk factors affecting injury severity of bus passengers with different movements. Three different passenger movement types including standing, seated, and boarding/alighting were analyzed individually using classification and regression tree (CART) method based on publicly available accident database of Great Britain. According to the results of exploratory analyses, passenger age and vehicle maneuver are associated with passenger injury severity in all 3 types of accidents. Moreover, the variable "skidding and overturning" is associated with injury severity of seated passengers and driver age is correlated with injury severity of standing and boarding/alighting passengers. The CART method shows its ability to identify and easily explain the complicated patterns affecting passenger injury severity. Several countermeasures to reduce bus passenger injury severity are recommended.

An integrated graphic–taxonomic–associative approach to analyze human factors in aviation accidents

Directory of Open Access Journals (Sweden)

Gong Lei

2014-04-01

Full Text Available Human factors are critical causes of modern aviation accidents. However, existing accident analysis methods encounter limitations in addressing aviation human factors, especially in complex accident scenarios. The existing graphic approaches are effective for describing accident mechanisms within various categories of human factors, but cannot simultaneously describe inadequate human–aircraft–environment interactions and organizational deficiencies effectively, and highly depend on analysts’ skills and experiences. Moreover, the existing methods do not emphasize latent unsafe factors outside accidents. This paper focuses on the above three limitations and proposes an integrated graphic–taxonomic–associative approach. A new graphic model named accident tree (AcciTree, with a two-mode structure and a reaction-based concept, is developed for accident modeling and safety defense identification. The AcciTree model is then integrated with the well-established human factors analysis and classification system (HFACS to enhance both reliability of the graphic part and logicality of the taxonomic part for improving completeness of analysis. An associative hazard analysis technique is further put forward to extend analysis to factors outside accidents, to form extended safety requirements for proactive accident prevention. Two crash examples, a research flight demonstrator by our team and an industrial unmanned aircraft, illustrate that the integrated approach is effective for identifying more unsafe factors and safety requirements.

Real-time airborne particle analyzer

Science.gov (United States)

Reilly, Peter T.A.

2012-10-16

An aerosol particle analyzer includes a laser ablation chamber, a gas-filled conduit, and a mass spectrometer. The laser ablation chamber can be operated at a low pressure, which can be from 0.1 mTorr to 30 mTorr. The ablated ions are transferred into a gas-filled conduit. The gas-filled conduit reduces the electrical charge and the speed of ablated ions as they collide and mix with buffer gases in the gas-filled conduit. Preferably, the gas filled-conduit includes an electromagnetic multipole structure that collimates the nascent ions into a beam, which is guided into the mass spectrometer. Because the gas-filled conduit allows storage of vast quantities of the ions from the ablated particles, the ions from a single ablated particle can be analyzed multiple times and by a variety of techniques to supply statistically meaningful analysis of composition and isotope ratios.

Dehydration process of fish analyzed by neutron beam imaging

International Nuclear Information System (INIS)

Tanoi, K.; Hamada, Y.; Seyama, S.; Saito, T.; Iikura, H.; Nakanishi, T.M.

2009-01-01

Since regulation of water content of the dried fish is an important factor for the quality of the fish, water-losing process during drying (squid and Japanese horse mackerel) was analyzed through neutron beam imaging. The neutron image showed that around the shoulder of mackerel, there was a part where water content was liable to maintain high during drying. To analyze water-losing process more in detail, spatial image was produced. From the images, it was clearly indicated that the decrease of water content was regulated around the shoulder part. It was suggested that to prevent deterioration around the shoulder part of the dried fish is an important factor to keep quality of the dried fish in the storage.

A study on method to identify actual causes and conditions of safety rule deviations through analyzing events due to unsafe acts of workers

International Nuclear Information System (INIS)

Hirotsu, Yuko; Takeda, Daisuke

2010-01-01

The purpose of this study is to establish a method to understand actual causes and condition of intentional deviation from safety rules (including norm and written rules that has developed to anticipate, prevent, detect and recover human errors) in an organization by analyzing events due to unsafe acts of workers (human factor events) and to propose effective measures. Firstly, by reviewing literature regarding safety violations, the following two advantages of investigating actual condition of safety rule deviation through human factor event analysis were extracted, such as (a) being able to clarify relationships between deviations, human errors, and events, and (b) being able to identify specific causal factors that influenced the decision to deviate, including acts of people concerned, problems with rules, task demands, environment and management. Next, through the analysis of human factor event data in accordance with existing human error analysis method on the basis of advantages above, the following three requirements for analyzing event data were extracted, such as (a) gathering information such as rules concerning to the work activities related to the human factor events, and whether there are intentional deviations of the rules, (b) gathering information and identify interrelations among causal factors of the intentional deviations, and (c) gathering information on general condition of deviations and the causal factors. (author)

New approach to analyzing vulnerability

International Nuclear Information System (INIS)

O'Callaghan, P.B.; Carlson, R.L.; Riedeman, G.W.

1986-01-01

The Westinghouse Hanford Company (WHC) has recently completed construction of the Fuel Cycle Plant (FCP) at Richland, Washington. At start-up the facility will fabricate driver fuel for the Fast Flux Test Facility in the Secure Automated Fabrication line. After construction completion, but before facility certification, the Department of Energy (DOE) Richland Operation Office requested that a vulnerability analysis be performed which assumed multiple insiders as a threat to the security system. A unique method of analyzing facility vulnerabilities was developed at the Security Applications Center (SAC), which is managed by WHC for DOE. The method that was developed verifies a previous vulnerability assessment, as well as introducing a modeling technique which analyzes security alarms in relation to delaying factors and possible insider activities. With this information it is possible to assess the relative strength or weakness of various possible routes to and from a target within a facility

Miniature multichannel analyzer for process monitoring

International Nuclear Information System (INIS)

Halbig, J.K.; Klosterbuer, S.F.; Russo, P.A.; Sprinkle, J.K. Jr.; Stephens, M.M.; Wiig, L.G.; Ianakiev, K.D.

1993-01-01

A new, 4,000-channel analyzer has been developed for gamma-ray spectroscopy applications. A design philosophy of hardware and software building blocks has been combined with design goals of simplicity, compactness, portability, and reliability. The result is a miniature, modular multichannel analyzer (MMMCA), which offers solution to a variety of nondestructive assay (NDA) needs in many areas of general application, independent of computer platform or operating system. Detector-signal analog electronics, the bias supply, and batteries are included in the virtually pocket-size, low-power MMMCA unit. The MMMCA features digital setup and control, automated data reduction, and automated quality assurance. Areas of current NDA applications include on-line continuous (process) monitoring, process material holdup measurements, and field inspections

A cohort study protocol to analyze the predisposing factors to common chronic non-communicable diseases in rural areas: Fasa Cohort Study

Directory of Open Access Journals (Sweden)

Mojtaba Farjam

2016-10-01

Full Text Available Abstract Background Non-communicable diseases (NCDs have become the main causes of morbidity and mortality even in rural areas of many developing countries, including Iran. In view of this increased risk, Fasa Cohort Study (FACS has been established to assess the risk factors for NCDs with the ultimate goal of providing optimal risk calculators for Iranian population and finding grounds for interventions at the population level. Methods In a population-based cohort, at least 10,000 people within the age range of 35 to 70 years old from Sheshdeh, the suburb of Fasa city and its 24 satellite villages are being recruited. A detailed demographic, socioeconomic, anthropometric, nutrition, and medical history is obtained for each individual besides limited physical examinations and determination of physical activity and sleep patterns supplemented by body composition and electrocardiographic records. Routine laboratory assessments are done and a comprehensive biobank is compiled for future biological investigations. All data are stored online using a dedicated software. Discussion FACS enrolls the individuals from rural and little township areas to evaluate the health conditions and analyze the risk factors pertinent to major NCDs. This study will provide an evidence-based background for further national and international policies in preventive medicine. Yearly follow ups are designed to assess the health events in the participating population. It is believed that the results would construct a contemporary knowledge of Iranian high risk health characteristics and behaviors as well as the platform for further interventions of risk reduction in a typical Iranian population. Constantly probing for future advances in NCDs prevention and management, the accumulated database and biobank serves as a potential for state of the art research and international collaborations.

School Readiness Factor Analyzed.

Science.gov (United States)

Brenner, Anton; Scott, Leland H.

This paper is an empirical statistical analysis and interpretation of data relating to school readiness previously examined and reported on a theoretical basis. A total of 118 white, middle class children from six consecutive kindergarten groups in Dearborn, Michigan were tested with seven instruments, evaluated in terms of achievement, ability,…

KWU Nuclear Plant Analyzer

International Nuclear Information System (INIS)

Bennewitz, F.; Hummel, R.; Oelmann, K.

1986-01-01

The KWU Nuclear Plant Analyzer is a real time engineering simulator based on the KWU computer programs used in plant transient analysis and licensing. The primary goal is to promote the understanding of the technical and physical processes of a nuclear power plant at an on-site training facility. Thus the KWU Nuclear Plant Analyzer is available with comparable low costs right at the time when technical questions or training needs arise. This has been achieved by (1) application of the transient code NLOOP; (2) unrestricted operator interaction including all simulator functions; (3) using the mainframe computer Control Data Cyber 176 in the KWU computing center; (4) four color graphic displays controlled by a dedicated graphic computer, no control room equipment; and (5) coupling of computers by telecommunication via telephone

A parametric transfer function methodology for analyzing reactive transport in nonuniform flow.

Science.gov (United States)

Luo, Jian; Cirpka, Olaf A; Fienen, Michael N; Wu, Wei-min; Mehlhorn, Tonia L; Carley, Jack; Jardine, Philip M; Criddle, Craig S; Kitanidis, Peter K

2006-02-01

We analyze reactive transport during in-situ bioremediation in a nonuniform flow field, involving multiple extraction and injection wells, by the method of transfer functions. Gamma distributions are used as parametric models of the transfer functions. Apparent parameters of classical transport models may be estimated from those of the gamma distributions by matching temporal moments. We demonstrate the method by application to measured data taken at a field experiment on bioremediation conducted in a multiple-well system in Oak Ridge, TN. Breakthrough curves (BTCs) of a conservative tracer (bromide) and a reactive compound (ethanol) are measured at multi-level sampling (MLS) wells and in extraction wells. The BTCs of both compounds are jointly analyzed to estimate the first-order degradation rate of ethanol. To quantify the tracer loss, we compare the approaches of using a scaling factor and a first-order decay term. Results show that by including a scaling factor both gamma distributions and inverse-Gaussian distributions (transfer functions according to the advection-dispersion equation) are suitable to approximate the transfer functions and estimate the reactive rate coefficients for both MLS and extraction wells. However, using a first-order decay term for tracer loss fails to describe the BTCs at the extraction well, which is affected by the nonuniform distribution of travel paths.

Analyzing endocrine system conservation and evolution.

Science.gov (United States)

Bonett, Ronald M

2016-08-01

Analyzing variation in rates of evolution can provide important insights into the factors that constrain trait evolution, as well as those that promote diversification. Metazoan endocrine systems exhibit apparent variation in evolutionary rates of their constituent components at multiple levels, yet relatively few studies have quantified these patterns and analyzed them in a phylogenetic context. This may be in part due to historical and current data limitations for many endocrine components and taxonomic groups. However, recent technological advancements such as high-throughput sequencing provide the opportunity to collect large-scale comparative data sets for even non-model species. Such ventures will produce a fertile data landscape for evolutionary analyses of nucleic acid and amino acid based endocrine components. Here I summarize evolutionary rate analyses that can be applied to categorical and continuous endocrine traits, and also those for nucleic acid and protein-based components. I emphasize analyses that could be used to test whether other variables (e.g., ecology, ontogenetic timing of expression, etc.) are related to patterns of rate variation and endocrine component diversification. The application of phylogenetic-based rate analyses to comparative endocrine data will greatly enhance our understanding of the factors that have shaped endocrine system evolution. Copyright © 2016 Elsevier Inc. All rights reserved.

Smile Analyzer: A Software Package for Analyzing the Characteristics of the Speech and Smile

Directory of Open Access Journals (Sweden)

Roozbeh Rashed

2013-01-01

Full Text Available Taking into account the factors related to lip-tooth relationships in orthodontic diagnosis and treatment planning is of prime importance. Manual quantitative analysis of facial parameters on photographs during smile and speech is a difficult and time-consuming job. Since there is no comprehensive and user-friendly software package, we developed a software program called "Smile Analyzer" in the Department of Orthodontics of Mashhad Faculty of Dentistry for measuring the parameters related to lip-tooth relationships and other facial landmarks on the photographs taken during various facial expressions. The software was designed using visual basic. NET and the ADO. NET was used for developing its Microsoft Access database. The program runs on Microsoft Windows. It is capable of analyzing many parameters or variables in many patients' photographs, although 19 more common variables are previously defined as a default list of variables. When all variables are measured or calculated, a report can be generated and saved in either PDF or MS Excel format. Data are readily transferable to statistical software like SPSS for Windows.  

Smile Analyzer: A Software Package for Analyzing the Characteristics of the Speech and Smile

Directory of Open Access Journals (Sweden)

Farzin Heravi

2012-09-01

Full Text Available Taking into account the factors related to lip-tooth relationships in orthodontic diagnosis and treatment planning is of prime importance. Manual quantitative analysis of facial parameters on photographs during smile and speech is a difficult and time-consuming job. Since there is no comprehensive and user-friendly software package, we developed a software program called "Smile Analyzer" in the Department of Orthodontics of Mashhad Faculty of Dentistry for measuring the parameters related to lip-tooth relationships and other facial landmarks on the photographs taken during various facial expressions. The software was designed using visual basic. NET and the ADO. NET was used for developing its Microsoft Access database. The program runs on Microsoft Windows. It is capable of analyzing many parameters or variables in many patients' photographs, although 19 more common variables are previously defined as a default list of variables. When all variables are measured or calculated, a report can be generated and saved in either PDF or MS Excel format. Data are readily transferable to statistical software like SPSS for Windows.

Determination of point isotropic buildup factors of gamma rays including incoherent and coherent scattering for aluminum, iron, lead, and water by discrete ordinates method

International Nuclear Information System (INIS)

Kitsos, S.; Assad, A.; Diop, C.M.; Nimal, J.C.

1994-01-01

Exposure and energy absorption buildup factors for aluminum, iron, lead, and water are calculated by the SNID discrete ordinates code for an isotropic point source in a homogeneous medium. The calculation of the buildup factors takes into account the effects of both bound-electron Compton (incoherent) and coherent (Rayleigh) scattering. A comparison with buildup factors from the literature shows that these two effects greatly increase the buildup factors for energies below a few hundred kilo-electron-volts, and thus the new results are improved relative to the experiment. This greater accuracy is due to the increase in the linear attenuation coefficient, which leads to the calculation of the buildup factors for a mean free path with a smaller shield thickness. On the other hand, for the same shield thickness, exposure increases when only incoherent scattering is included and decreases when only coherent scattering is included, so that the exposure finally decreases when both effects are included. Great care must also be taken when checking the approximations for gamma-ray deep-penetration transport calculations, as well as for the cross-section treatment and origin

3002 Humidified Tandem Differential Mobility Analyzer Instrument Handbook

Energy Technology Data Exchange (ETDEWEB)

Uin, Janek [Brookhaven National Lab. (BNL), Upton, NY (United States)

2016-03-01

The Brechtel Manufacturing Inc. (BMI) Humidified Tandem Differential Mobility Analyzer (HT-DMA Model 3002) (Brechtel and Kreidenweis 2000a,b, Henning et al. 2005, Xerxes et al. 2014) measures how aerosol particles of different initial dry sizes grow or shrink when exposed to changing relative humidity (RH) conditions. It uses two different mobility analyzers (DMA) and a humidification system to make the measurements. One DMA selects a narrow size range of dry aerosol particles, which are exposed to varying RH conditions in the humidification system. The second (humidified) DMA scans the particle size distribution output from the humidification system. Scanning a wide range of particle sizes enables the second DMA to measure changes in size or growth factor (growth factor = humidified size/dry size), due to water uptake by the particles. A Condensation Particle Counter (CPC) downstream of the second DMA counts particles as a function of selected size in order to obtain the number size distribution of particles exposed to different RH conditions.

Regulation of hippocampal neurogenesis by systemic factors including stress, glucocorticoids, sleep, and inflammation

NARCIS (Netherlands)

Lucassen, P.J.; Oomen, C.; van Dam, A.-M.; Czéh, B.; Gage, F.H.; Kempermann, G.; Song, H.

2008-01-01

This review summarizes and discusses the regulation of adult neurogenesis and hippocampal cellular plasticity by systemic factors. We focus on the role of stress, glucocorticoids, and related factors such as sleep deprivation and inflammation.

Atherogenic Risk Factors and Hearing Thresholds

DEFF Research Database (Denmark)

Frederiksen, Thomas Winther; Ramlau-Hansen, Cecilia Høst; Stokholm, Zara Ann

2014-01-01

The objective of this study was to evaluate the influence of atherogenic risk factors on hearing thresholds. In a cross-sectional study we analyzed data from a Danish survey in 2009-2010 on physical and psychological working conditions. The study included 576 white- and blue-collar workers from c...

Real time speech formant analyzer and display

Science.gov (United States)

Holland, George E.; Struve, Walter S.; Homer, John F.

1987-01-01

A speech analyzer for interpretation of sound includes a sound input which converts the sound into a signal representing the sound. The signal is passed through a plurality of frequency pass filters to derive a plurality of frequency formants. These formants are converted to voltage signals by frequency-to-voltage converters and then are prepared for visual display in continuous real time. Parameters from the inputted sound are also derived and displayed. The display may then be interpreted by the user. The preferred embodiment includes a microprocessor which is interfaced with a television set for displaying of the sound formants. The microprocessor software enables the sound analyzer to present a variety of display modes for interpretive and therapeutic used by the user.

A new approach to analyzing vulnerability

International Nuclear Information System (INIS)

O'Callaghan, P.B.; Carlson, R.L.; Riedeman, G.W.

1986-01-01

The Westinghouse Hanford Company (WHC) has recently completed construction of the Fuel Cycle Plant (FCP) at Richland, Washington. At start-up the facility will fabricate driver fuel for the Fast Flux Test Facility in the Secure Automated Fabrication line. After construction completion, but before facility certification, the Department of Energy (DOE) Richland Operation Office requested that a vulnerability analysis be performed which assumed multiple insiders as a threat to the security system. A unique method of analyzing facility vulnerabilities was developed at the Security Applications Center (SAC), which is managed by WHC for DOE. The method that was developed verifies a previous vulnerability assessment, as well as introducing a modeling technique which analyzes security alarms in relation to delaying factors and possible insider activities. With this information it is possible to assess the relative strength or weakness of various possible routes to and from a target within a facility,

Calibration of carbon analyzer LECO type IR-212

International Nuclear Information System (INIS)

Lilis Windaryati; Pranjono; Galuh Sri Banawa

2013-01-01

Calibration of Carbon Analyzer LECO type IR-212 has been done. The aim of this research is to study the performance of the carbon analyzer LECO type IR-212 for its accuracy assurance. The experiment includes a series of performance adjustment using standard material traceable nationally/internationally. The standard material used for the calibration is standard carbon manufactured by LECO, which refers to National Institute of Standards and Technology (NIST) Standard Reference Materials (SRM) of traceable certificate. The method used is based on Application Bulletin Leco Corporation. The composition used for the experiment varies from 0,0097% to 0,8110% that is 0,0097 ± 0,0014%; 0,0348 ± 0,0013%; 0,1770 ± 0,003% and 0,8110 ± 0,007%. The analysis results for those varied composition are 0,0097 ± 0,000175%; 0,03474 ± 0,000152%; 0,1762 ± 0,00228% and 0,80982 ± 0,000958% for their mean value and standard deviation respectively. In the standard analysis, the results are close to the true value is the measurement of a standard sample with a content of 0.811% with a correction factor of 1.0015. The smallest standard deviation in measurements of 0,0348% sample gives the lowest standard deviation, i.e. 0,000152. The analysis results are considered sufficiently stable with linear calibration curve of y = 0.9984 x with correlation coefficient R 2 = 1. (author)

Pesticide exposure as risk factor for non-Hodgkin lymphoma including histopathological subgroup analysis.

Science.gov (United States)

Eriksson, Mikael; Hardell, Lennart; Carlberg, Michael; Akerman, Måns

2008-10-01

We report a population based case-control study of exposure to pesticides as risk factor for non-Hodgkin lymphoma (NHL). Male and female subjects aged 18-74 years living in Sweden were included during December 1, 1999, to April 30, 2002. Controls were selected from the national population registry. Exposure to different agents was assessed by questionnaire. In total 910 (91 %) cases and 1016 (92%) controls participated. Exposure to herbicides gave odds ratio (OR) 1.72, 95% confidence interval (CI) 1.18-2.51. Regarding phenoxyacetic acids highest risk was calculated for MCPA; OR 2.81, 95% CI 1.27-6.22, all these cases had a latency period >10 years. Exposure to glyphosate gave OR 2.02, 95% CI 1.10-3.71 and with >10 years latency period OR 2.26, 95% CI 1.16-4.40. Insecticides overall gave OR 1.28, 95% CI 0.96-1.72 and impregnating agents OR 1.57, 95% CI 1.07-2.30. Results are also presented for different entities of NHL. In conclusion our study confirmed an association between exposure to phenoxyacetic acids and NHL and the association with glyphosate was considerably strengthened.

Analyzing solid waste management practices for the hotel industry

OpenAIRE

S.T. Pham Phu; M.G. Hoang; T. Fujiwara

2018-01-01

The current study aims to analyze waste characteristics and management practices of the hotel industry in Hoi An, a tourism city in the center of Vietnam. Solid wastes from 120 hotels were sampled, the face-to-face interviews were conducted, and statistical methods were carried out to analyze the data. The results showed that the mean of waste generation rate of the hotels was 2.28 kg/guest/day and strongly correlated to internal influencing factors such as the capacity, the price of the room...

iPSCs: A Minireview from Bench to Bed, including Organoids and the CRISPR System

Directory of Open Access Journals (Sweden)

Andrés Javier Orqueda

2016-01-01

Full Text Available When Dolly the sheep was born, the first probe into an adult mammalian genome traveling back in time and generating a whole new animal appeared. Ten years later, the reprogramming process became a defined method of producing induced pluripotent stem cells (iPSCs through the overexpression of four transcription factors. iPSCs are capable of originating virtually all types of cells and tissues, including a whole new animal. The reprogramming strategies based on patient-derived cells should make the development of clinical applications of cell based therapy much more straightforward. Here, we analyze the current state, opportunities, and challenges of iPSCs from bench to bed, including organoids and the CRISPR system.

Analyzing the Effects of Climate Factors on Soybean Protein, Oil Contents, and Composition by Extensive and High-Density Sampling in China.

Science.gov (United States)

Song, Wenwen; Yang, Ruping; Wu, Tingting; Wu, Cunxiang; Sun, Shi; Zhang, Shouwei; Jiang, Bingjun; Tian, Shiyan; Liu, Xiaobing; Han, Tianfu

2016-05-25

From 2010 to 2013, 763 soybean samples were collected from an extensive area of China. The correlations between seed compositions and climate data were analyzed. The contents of crude protein and water-soluble protein, total amount of protein plus oil, and most of the amino acids were positively correlated with an accumulated temperature ≥15 °C (AT15) and the mean daily temperature (MDT) but were negatively correlated with hours of sunshine (HS) and diurnal temperature range (DTR). The correlations of crude oil and most fatty acids with climate factors were opposite to those of crude protein. Crude oil content had a quadratic regression relationship with MDT, and a positive correlation between oil content and MDT was found when the daily temperature was soybean protein and oil contents. The study illustrated the effects of climate factors on soybean protein and oil contents and proposed agronomic practices for improving soybean quality in different regions of China. The results provide a foundation for the regionalization of high-quality soybean production in China and similar regions in the world.

Analyzing the development of Indonesia shrimp industry

Science.gov (United States)

Wati, L. A.

2018-04-01

This research aimed to analyze the development of shrimp industry in Indonesia. Porter’s Diamond Theory was used for analysis. The Porter’s Diamond theory is one of framework for industry analysis and business strategy development. The Porter’s Diamond theory has five forces that determine the competitive intensity in an industry, namely (1) the threat of substitute products, (2) the threat of competition, (3) the threat of new entrants, (4) bargaining power of suppliers, and (5) bargaining power of consumers. The development of Indonesian shrimp industry pretty good, explained by Porter Diamond Theory analysis. Analysis of Porter Diamond Theory through four main components namely factor conditions; demand condition; related and supporting industries; and firm strategy, structure and rivalry coupled with a two-component supporting (regulatory the government and the factor of chance). Based on the result of this research show that two-component supporting (regulatory the government and the factor of chance) have positive. Related and supporting industries have negative, firm and structure strategy have negative, rivalry has positive, factor condition have positive (except science and technology resources).

Development of a Telemetric, Miniaturized Electrochemical Amperometric Analyzer.

Science.gov (United States)

Jung, Jaehyo; Lee, Jihoon; Shin, Siho; Kim, Youn Tae

2017-10-23

In this research, we developed a portable, three-electrode electrochemical amperometric analyzer that can transmit data to a PC or a tablet via Bluetooth communication. We performed experiments using an indium tin oxide (ITO) glass electrode to confirm the performance and reliability of the analyzer. The proposed analyzer uses a current-to-voltage (I/V) converter to convert the current generated by the reduction-oxidation (redox) reaction of the buffer solution to a voltage signal. This signal is then digitized by the processor. The configuration of the power and ground of the printed circuit board (PCB) layer is divided into digital and analog parts to minimize the noise interference of each part. The proposed analyzer occupies an area of 5.9 × 3.25 cm² with a current resolution of 0.4 nA. A potential of 0~2.1 V can be applied between the working and the counter electrodes. The results of this study showed the accuracy of the proposed analyzer by measuring the Ruthenium(III) chloride ( Ru III ) concentration in 10 mM phosphate-buffered saline (PBS) solution with a pH of 7.4. The measured data can be transmitted to a PC or a mobile such as a smartphone or a tablet PC using the included Bluetooth module. The proposed analyzer uses a 3.7 V, 120 mAh lithium polymer battery and can be operated for 60 min when fully charged, including data processing and wireless communication.

Development of a Telemetric, Miniaturized Electrochemical Amperometric Analyzer

Directory of Open Access Journals (Sweden)

Jaehyo Jung

2017-10-01

Full Text Available In this research, we developed a portable, three-electrode electrochemical amperometric analyzer that can transmit data to a PC or a tablet via Bluetooth communication. We performed experiments using an indium tin oxide (ITO glass electrode to confirm the performance and reliability of the analyzer. The proposed analyzer uses a current-to-voltage (I/V converter to convert the current generated by the reduction-oxidation (redox reaction of the buffer solution to a voltage signal. This signal is then digitized by the processor. The configuration of the power and ground of the printed circuit board (PCB layer is divided into digital and analog parts to minimize the noise interference of each part. The proposed analyzer occupies an area of 5.9 × 3.25 cm2 with a current resolution of 0.4 nA. A potential of 0~2.1 V can be applied between the working and the counter electrodes. The results of this study showed the accuracy of the proposed analyzer by measuring the Ruthenium(III chloride ( Ru III concentration in 10 mM phosphate-buffered saline (PBS solution with a pH of 7.4. The measured data can be transmitted to a PC or a mobile such as a smartphone or a tablet PC using the included Bluetooth module. The proposed analyzer uses a 3.7 V, 120 mAh lithium polymer battery and can be operated for 60 min when fully charged, including data processing and wireless communication.

Exposure to psychosocial risk factors in the context of work: a systematic review

Science.gov (United States)

Fernandes, Cláudia; Pereira, Anabela

2016-01-01

ABSTRACT OBJECTIVE To analyze the scientific literature about the effects of exposure to psychosocial risk factors in work contexts. METHODS A systematic review was performed using the terms “psychosocial factors” AND “COPSOQ” in the databases PubMed, Medline, and Scopus. The period analyzed was from January 1, 2004 to June 30, 2012. We have included articles that used the Copenhagen Psychosocial Questionnaire (COPSOQ) as a measuring instrument of the psychosocial factors and the presentation of quantitative or qualitative results. German articles, psychometric studies or studies that did not analyze individual or work factors were excluded. RESULTS We included 22 articles in the analysis. Individual factors, such as gender, age, and socioeconomic status, were analyzed along with work-related factors such as labor demands, work organization and content, social relationships and leadership, work-individual interface, workplace values, justice and respect, personality, health and well-being, and offensive behaviors. We analyzed the sample type and the applied experimental designs. Some population groups, such as young people and migrants, are more vulnerable. The deteriorated working psychosocial environment is associated with physical health indicators and weak mental health. This environment is also a risk factor for the development of moderate to severe clinical conditions, predicting absenteeism or intention of leaving the job. CONCLUSIONS The literature shows the contribution of exposure to psychosocial risk factors in work environments and their impact on mental health and well-being of workers. It allows the design of practical interventions in the work context to be based on scientific evidences. Investigations in specific populations, such as industry, and studies with more robust designs are lacking. PMID:27253900

Exposure to psychosocial risk factors in the context of work: a systematic review

Directory of Open Access Journals (Sweden)

Cláudia Fernandes

2016-01-01

Full Text Available ABSTRACT OBJECTIVE To analyze the scientific literature about the effects of exposure to psychosocial risk factors in work contexts. METHODS A systematic review was performed using the terms “psychosocial factors” AND “COPSOQ” in the databases PubMed, Medline, and Scopus. The period analyzed was from January 1, 2004 to June 30, 2012. We have included articles that used the Copenhagen Psychosocial Questionnaire (COPSOQ as a measuring instrument of the psychosocial factors and the presentation of quantitative or qualitative results. German articles, psychometric studies or studies that did not analyze individual or work factors were excluded. RESULTS We included 22 articles in the analysis. Individual factors, such as gender, age, and socioeconomic status, were analyzed along with work-related factors such as labor demands, work organization and content, social relationships and leadership, work-individual interface, workplace values, justice and respect, personality, health and well-being, and offensive behaviors. We analyzed the sample type and the applied experimental designs. Some population groups, such as young people and migrants, are more vulnerable. The deteriorated working psychosocial environment is associated with physical health indicators and weak mental health. This environment is also a risk factor for the development of moderate to severe clinical conditions, predicting absenteeism or intention of leaving the job. CONCLUSIONS The literature shows the contribution of exposure to psychosocial risk factors in work environments and their impact on mental health and well-being of workers. It allows the design of practical interventions in the work context to be based on scientific evidences. Investigations in specific populations, such as industry, and studies with more robust designs are lacking.

Analyzing the Impact of Residential Building Attributes, Demographic and Behavioral Factors on Natural Gas Usage

Energy Technology Data Exchange (ETDEWEB)

Livingston, Olga V.; Cort, Katherine A.

2011-03-03

study attempts to bridge that gap by analyzing behavioral data and investigate the applicability of additive nonparametric regression to this task. This study evaluates the impact of 31 regressors on residential natural gas usage. The regressors include weather, economic variables, demographic and behavioral characteristics, and building attributes related to energy use. In general, most of the regression results were in line with previous engineering and economic studies in this area. There were, however, some counterintuitive results, particularly with regard to thermostat controls and behaviors. There are a number of possible reasons for these counterintuitive results including the inability to control for regional climate variability due to the data sanitization (to prevent identification of respondents), inaccurate data caused by to self-reporting, and the fact that not all relevant behavioral variables were included in the data set, so we were not able to control for them in the study. The results of this analysis could be used as an in-sample prediction for approximating energy demand of a residential building whose characteristics are described by the regressors in this analysis, but a certain combination of their particular values does not exist in the real world. In addition, this study has potential applications for benefit-cost analysis of residential upgrades and retrofits under a fixed budget, because the results of this study contain information on how natural gas consumption might change once a particular characteristic or attribute is altered. Finally, the results of this study can help establish a relationship between natural gas consumption and changes in behavior of occupants.

Usage of medium-scale space images and GIS in analyzing the agriculture production limiting factors at the Northwestern coast, Egypt

Science.gov (United States)

Gad, A.

2009-04-01

The northwestern coast of Egypt is characterized by an international interest due to its history and magnificent environment. The area was known as being the bread basket during the Greek and Roman periods. Recently, drastic changes in land use resulting in destructing many of water harvesting tools, thus diminution of the agriculture importance. Restoration of the area and planning self sufficient communities needs to develop a sustainable land resources database for these regions. The medium scale space data provide a spatial resolution of 30 meters, in addition to multi-temporal imaging. Moreover, Geographic Information System (GIS) permits to store, merge, and manipulate the huge amounts of thematic maps and attribute data. A number of 7 Landsat ETM scenes covering the whole northwestern coast of Egypt were acquired and merged. ERDAS-IMAGINE software was used for image processing and analyzing. A number of 53 topographic maps at scale 1:50000 were used to input GIS thematic layers relevant to land resources, using Arc_GIS 9.2 system. Field investigation was carried out to represent different soil units and collect ground control points. Chemical and physical soil properties were determined, upon which soil classification was based. MicroLEIS system was employed to define soil restrictive elements for the local common agricultural practices. (i.e. cultivation of olives, peach, wheat, beans, and sunflower crops). The results showed that the presence of Calcic, Petrogypsic and Salic horizons are responsible for the problems of water logging, hard workability and secondary salinization. The identified great groups include Torripsamments, Torriorthents, Haplosalids, Petrogypsids and Haplocalcids. Soils of the alluvial fans and watershed basins are deep to moderately deep with a texture ranging between fine sand to clay loam. The salinity is relatively low (EC is +/- 2 dS/m) whereas the CaCO3 content is mostly over 8 %. The limiting factors found in the piedmont and

[Adoption of new technologies by health services: the challenge of analyzing relevant factors].

Science.gov (United States)

Trindade, Evelinda

2008-05-01

The exponential increase in the incorporation of health technologies has been considered a key factor in increased expenditures by the health sector. Such decisions involve multiple levels and stakeholders. Decentralization has multiplied the decision-making levels, with numerous difficult choices and limited resources. The interrelationship between stakeholders is complex, in creative systems with multiple determinants and confounders. The current review discusses the interaction between the factors influencing the decisions to incorporate technologies by health services, and proposes a structure for their analysis. The application and intensity of these factors in decision-making and the incorporation of products and programs by health services shapes the installed capacity of local and regional networks and modifies the health system. Empirical observation of decision-making and technology incorporation in Brazilian health services poses an important challenge. The structured recognition and measurement of these variables can assist proactive planning of health services.

Integrated analyzing method for the progress event based on subjects and predicates in events

International Nuclear Information System (INIS)

Minowa, Hirotsugu; Munesawa, Yoshiomi

2014-01-01

It is expected to make use of the knowledge that was extracted by analyzing the mistakes of the past to prevent recurrence of accidents. Currently main analytic style is an analytic style that experts decipher deeply the accident cases, but cross-analysis has come to an end with extracting the common factors in the accident cases. We propose an integrated analyzing method for progress events to analyze among accidents in this study. Our method realized the integration of many accident cases by the integration connecting the common keyword called as 'Subject' or 'Predicate' that are extracted from each progress event in accident cases or near-miss cases. Our method can analyze and visualize the partial risk identification and the frequency to cause accidents and the risk assessment from the data integrated accident cases. The result of applying our method to PEC-SAFER accident cases identified 8 hazardous factors which can be caused from tank again, and visualized the high frequent factors that the first factor was damage of tank 26% and the second factor was the corrosion 21%, and visualized the high risks that the first risk was the damage 3.3 x 10 -2 [risk rank / year] and the second risk was the destroy 2.5 x 10 -2 [risk rank / year]. (author)

Prioritizing the client trust factors in electronic banking using analytic hierarchy process

Directory of Open Access Journals (Sweden)

Hossein vazifedust

2014-04-01

Full Text Available This paper prioritizes the trust factors among electronic banking clients of an Iranian bank named Parsian Bank. The study first analyzes and reviews the literature and interviews with experts of electronic banking and academicians and determines client trust as the most important factor for development of electronic banking. The study also determines different factors associated with trust, which includes individual factors, banking factors and infrastructural factors. The sample populations consist of 25 experts who are academicians, managers and bank officers, clients of electronic banking. The necessary data was collected through conducting interviews and questionnaires and they are analyzed using analytic hierarchy process (AHP. The research findings indicate that the attitudinal factors, telecommunication infrastructure and cultural factors were the most influential factors accordingly and the customer orientation and ease of access were the least influential factors.

Inelastic X-ray scattering on liquid benzene analyzed using a generalized Langevin equation

Science.gov (United States)

Yoshida, Koji; Fukuyama, Nami; Yamaguchi, Toshio; Hosokawa, Shinya; Uchiyama, Hiroshi; Tsutsui, Satoshi; Baron, Alfred Q. R.

2017-07-01

The dynamic structure factor, S(Q,ω), of liquid benzene was measured by meV-resolved inelastic X-ray scattering (IXS) and analyzed using a generalized Langevin model with a memory function including fast, μ-relaxation and slow, structural, α-relaxation. The model well reproduced the experimental S(Q,ω) of liquid benzene. The dispersion relation of the collective excitation energy yields the high-frequency sound velocity for liquid benzene as related to the α-relaxation. The ratio of the high-frequency to the adiabatic sound velocity is approximately 1.5, larger to that of carbon tetrachloride and smaller than those of methanol and water, reflecting the nature of intermolecular interactions.

Human Body Mechanics of Pushing and Pulling: Analyzing the Factors of Task-related Strain on the Musculoskeletal System.

Science.gov (United States)

Argubi-Wollesen, Andreas; Wollesen, Bettina; Leitner, Martin; Mattes, Klaus

2017-03-01

The purpose of this review is to name and describe the important factors of musculoskeletal strain originating from pushing and pulling tasks such as cart handling that are commonly found in industrial contexts. A literature database search was performed using the research platform Web of Science. For a study to be included in this review differences in measured or calculated strain had to be investigated with regard to: (1) cart weight/ load; (2) handle position and design; (3) exerted forces; (4) handling task (push and pull); or (5) task experience. Thirteen studies met the inclusion criteria and proved to be of adequate methodological quality by the standards of the Alberta Heritage Foundation for Medical Research. External load or cart weight proved to be the most influential factor of strain. The ideal handle positions ranged from hip to shoulder height and were dependent on the strain factor that was focused on as well as the handling task. Furthermore, task experience and subsequently handling technique were also key to reducing strain. Workplace settings that regularly involve pushing and pulling should be checked for potential improvements with regards to lower weight of the loaded handling device, handle design, and good practice guidelines to further reduce musculoskeletal disease prevalence.

Investigating important factors influencing purchasing from chains

Directory of Open Access Journals (Sweden)

Naser Azad

2012-04-01

Full Text Available In this paper, we survey important factors, influencing customers to buy more from one of well known food market operating in capital city of Iran named Shahrvand. The survey studies the effects of six factors including customer's perception, persuasive factors, brand, customers' expectations, product's characteristics and special features of store on attracting more customers. We have distributed questionnaire among 196 customers who regularly visit stores and analyzed details of the data. The results indicate that customers' perception is the most important item, which includes eight components. Years of experience is the most important item in our survey followed by impact of color and working hours. Diversity of services is another factor, which plays the most important role followed by quality of services. Next, fidelity and brand are other most important factors and the name of store and risk are in lower degree of importance.

Situational Factors in Focus Group Studies: A Systematic Review

OpenAIRE

Arne Orvik MPolSc; Lillebeth Larun PhD; Astrid Berland MSc; Karin C. Ringsberg PhD

2013-01-01

The aim of this study was to see how contextual factors are expressed, used, and analyzed in data collected in focus group discussions (FGDs). The study includes an assessment of how the methodological reporting of contextual factors might influence and improve the trustworthiness of articles. Articles reporting workplace health, stress, and coping among health professionals were identified in a systematic review and used in the analysis. By using Vicsek's framework of situational factors for...

[Renal patient's diet: Can fish be included?].

Science.gov (United States)

Castro González, M I; Maafs Rodríguez, A G; Galindo Gómez, C

2012-01-01

Medical and nutritional treatment for renal disease, now a major public health issue, is highly complicated. Nutritional therapy must seek to retard renal dysfunction, maintain an optimal nutritional status and prevent the development of underlying pathologies. To analyze ten fish species to identify those that, because of their low phosphorus content, high biological value protein and elevated n-3 fatty acids EPA and DHA, could be included in renal patient's diet. The following fish species (Litte tunny, Red drum, Spotted eagleray, Escolar, Swordfish, Big-scale pomfret, Cortez flounder, Largemouth blackbass, Periche mojarra, Florida Pompano) were analyzed according to the AOAC and Keller techniques to determine their protein, phosphorus, sodium, potassium, cholesterol, vitamins D(3) and E, and n-3 EPA+DHA content. These results were used to calculate relations between nutrients. The protein in the analyzed species ranged from 16.5 g/100 g of fillet (Largemouth black bass) to 27.2 g/100 g (Red drum); the lowest phosphorus value was 28.6 mg/100 g (Periche mojarra) and the highest 216.3 mg/100 g (Spotted eagle ray). 80% of the fish presented > 100 mg EPA + DHA in 100 g of fillet. By its Phosphorus/gProtein ratio, Escolar and Swordfish could not be included in the renal diet; Little tunny, Escolar, Big-scale pomfret, Largemouth black-bass, Periche mojarra and Florida Pompano presented a lower Phosphorus/EPA + DHA ratio. Florida pompano is the most recommended specie for renal patients, due to its optimal nutrient relations. However, all analyzed species, except Escolar and Swordfish, could be included in renal diets.

APPROACHES TO ANALYZE THE QUALITY OF ROMANIAN TOURISM WEB SITES

Directory of Open Access Journals (Sweden)

Lacurezeanu Ramona

2013-07-01

The purpose of our work is to analyze travel web-sites, more exactly, whether the criteria used to analyze virtual stores are also adequate for the Romanian tourism product. Following the study, we concluded that the Romanian online tourism web-sites for the Romanian market have the features that we found listed on similar web-sites of France, England, Germany, etc. In conclusion, online Romanian tourism can be considered one of the factors of economic growth.

Situational Factors in Focus Group Studies: A Systematic Review

Directory of Open Access Journals (Sweden)

Arne Orvik MPolSc

2013-02-01

Full Text Available The aim of this study was to see how contextual factors are expressed, used, and analyzed in data collected in focus group discussions (FGDs. The study includes an assessment of how the methodological reporting of contextual factors might influence and improve the trustworthiness of articles. Articles reporting workplace health, stress, and coping among health professionals were identified in a systematic review and used in the analysis. By using Vicsek's framework of situational factors for analysis of focus group results as a starting point, we found that contextual factors were most frequently described in the method sections and less frequently in the results and discussion sections. Vicsek's framework for the analysis of focus group results covers six contextual and methodological dimensions: interactional factors, personal characteristics of the participants, the moderator, the environment, time factors, and the content of FGDs. We found that the framework does not include a consideration of psychological safety, ethical issues, or organizational information. To deepen the analysis of focus group results, we argue that contextual factors should be analyzed as methodological dimensions and be considered as a sensitizing concept. Credibility, confirmability, dependability, and transferability can be strengthened by using, reporting, and discussing contextual factors in detail. The study contributes to elucidating how reporting of contextual data may enrich the analysis of focus group results and strengthen the trustworthiness. Future research should focus on clear reporting of contextual factors as well as further develop Vicsek's model to enhance reporting accuracy and transferability.

40 CFR 86.327-79 - Quench checks; NOX analyzer.

Science.gov (United States)

2010-07-01

... any flow rate into the reaction chamber. This includes, but is not limited to, sample capillary, ozone... Quench checks; NOX analyzer. (a) Perform the reaction chamber quench check for each model of high vacuum reaction chamber analyzer prior to initial use. (b) Perform the reaction chamber quench check for each new...

Evaluation of the three-nucleon analyzing power puzzle

International Nuclear Information System (INIS)

Tornow, W.; Witala, H.

1998-01-01

The current status of the three-nucleon analyzing power puzzle is reviewed. Applying tight constraints on the allowed deviations between calculated predictions and accepted values for relevant nucleon-nucleon observables reveals that energy independent correction factors applied to the 3 P j nucleon-nucleon interactions can not solve the puzzle. Furthermore, using the same constraints, charge-independence breaking in the 3 P j nucleon-nucleon interactions can be ruled out as a possible tool to improve the agreement between three-nucleon calculations and data. The study of the energy dependence of the three-nucleon analyzing power puzzle gives clear evidence that the 3 P j nucleon-nucleon interaction obtained from phase-shift analyses and used in potential models are correct above about 25 MeV, i.e., the 3 P j nucleon-nucleon interactions have to be modified only at lower energies in order to solve the three-nucleon analyzing power puzzle, unless new three-nucleon forces can be found that account for the three-nucleon analyzing power puzzle without destroying the beautiful agreement between rigorous three-nucleon calculations and a large body of accurate three-nucleon data. (orig.)

Evaluation of the three-nucleon analyzing power puzzle

Energy Technology Data Exchange (ETDEWEB)

Tornow, W. [Duke Univ., Durham, NC (United States). Dept. of Physics]|[Triangle Univ. Nuclear Lab., Durham, NC (United States); Witala, H. [Uniwersytet Jagiellonski, Cracow (Poland). Inst. Fizyki

1998-07-20

The current status of the three-nucleon analyzing power puzzle is reviewed. Applying tight constraints on the allowed deviations between calculated predictions and accepted values for relevant nucleon-nucleon observables reveals that energy independent correction factors applied to the {sup 3}P{sub j} nucleon-nucleon interactions can not solve the puzzle. Furthermore, using the same constraints, charge-independence breaking in the {sup 3}P{sub j} nucleon-nucleon interactions can be ruled out as a possible tool to improve the agreement between three-nucleon calculations and data. The study of the energy dependence of the three-nucleon analyzing power puzzle gives clear evidence that the {sup 3}P{sub j} nucleon-nucleon interaction obtained from phase-shift analyses and used in potential models are correct above about 25 MeV, i.e., the {sup 3}P{sub j} nucleon-nucleon interactions have to be modified only at lower energies in order to solve the three-nucleon analyzing power puzzle, unless new three-nucleon forces can be found that account for the three-nucleon analyzing power puzzle without destroying the beautiful agreement between rigorous three-nucleon calculations and a large body of accurate three-nucleon data. (orig.) 18 refs.

[Construction and application of an onboard absorption analyzer device for CDOM].

Science.gov (United States)

Lin, Jun-Fang; Sun, Zhao-Hua; Cao, Wen-Xi; Hu, Shui-Bo; Xu, Zhan-Tang

2013-04-01

Colored dissolved organic matter (CDOM) plays an important role in marine ecosystems. In order to solve the current problems in measurement of CDOM absorption, an automated onboard analyzer based on liquid core waveguides (Teflon AF LWCC/LCW) was constructed. This analyzer has remarkable characteristics including adjusted optical pathlength, wide measurement range, and high sensitivity. The model of filtration and injection can implement the function of automated filtration, sample injection, and LWCC cleaning. The LabVIEW software platform can efficiently control the running state of the analyzer and acquire real time data including light absorption spectra, GPS data, and CTW data. By the comparison experiments and shipboard measurements, it was proved that the analyzer was reliable and robust.

Using game theory to analyze green stormwater infrastructure implementation policies

Science.gov (United States)

William, R. K.; Garg, J.; Stillwell, A. S.

2017-12-01

While green stormwater infrastructure is a useful approach in addressing multiple challenges facing the urban environment, little consensus exists on how to best incentivize its adoption by private landowners. Game theory, a field of study designed to model conflict and cooperation between two or more agents, is well-suited to address this policy question. We used a cooperative game theory framework to analyze the impacts of three different policy approaches frequently used to incentivize the uptake of green infrastructure by private landowners: municipal regulation, direct grants, and stormwater fees. The results indicate that municipal regulation leads to the greatest environmental benefits; however, the choice of "best" regulatory approach is dependent on a variety of different factors including political and financial considerations. Policy impacts are also highly dependent on agents' spatial positions within the stormwater network. This finding leads to important questions of social equity and environmental justice.

Addressing Stillbirth in India Must Include Men.

Science.gov (United States)

Roberts, Lisa; Montgomery, Susanne; Ganesh, Gayatri; Kaur, Harinder Pal; Singh, Ratan

2017-07-01

Millennium Development Goal 4, to reduce child mortality, can only be achieved by reducing stillbirths globally. A confluence of medical and sociocultural factors contribute to the high stillbirth rates in India. The psychosocial aftermath of stillbirth is a well-documented public health problem, though less is known of the experience for men, particularly outside of the Western context. Therefore, men's perceptions and knowledge regarding reproductive health, as well as maternal-child health are important. Key informant interviews (n = 5) were analyzed and 28 structured interviews were conducted using a survey based on qualitative themes. Qualitative themes included men's dual burden and right to medical and reproductive decision making power. Wives were discouraged from expressing grief and pushed to conceive again. If not successful, particularly if a son was not conceived, a second wife was considered a solution. Quantitative data revealed that men with a history of stillbirths had greater anxiety and depression, perceived less social support, but had more egalitarian views towards women than men without stillbirth experience. At the same time fathers of stillbirths were more likely to be emotionally or physically abusive. Predictors of mental health, attitudes towards women, and perceived support are discussed. Patriarchal societal values, son preference, deficient women's autonomy, and sex-selective abortion perpetuate the risk for future poor infant outcomes, including stillbirth, and compounds the already higher risk of stillbirth for males. Grief interventions should explore and take into account men's perceptions, attitudes, and behaviors towards reproductive decision making.

Advantages of Real-Time Spectrum Analyzers in High-Energy Physics Applications

International Nuclear Information System (INIS)

Parker, Louis

2004-01-01

Typically, particles are injected into the ring at low energy levels and then 'ramped up' to higher levels. During ramping, it is important that the horizontal and vertical tune frequencies do not shift, lest they hit upon a resonant combination that causes beam instability or sudden total loss of ring beam current (beam blow up). Beam instabilities can be caused by a number of factors. Non-linearities and/or different response times of independent controls such as beam position monitor (BPM) cables and circuits, magnets for guidance and focusing of the beam, Klystrons or Tetrodes (which provide power to RF cavities that transmit energy to the beam), and vacuum pumps and monitors can all cause beam instabilities. Vibrations and lack of proper shielding are other factors. The challenge for operators and researchers is to correctly identify the factors causing beam instabilities and blow up so that costly accelerator time is not interrupted and experimental results are not compromised. The instrument often used to identify problems in particle accelerator applications is the spectrum analyzer. This paper will discuss the advantages of real time spectrum analyzers (RSA) versus swept frequency spectrum analyzers in HEP applications. The main focus will be on monitoring beam position and stability, especially during ramp-up. Also covered will be use of RSA for chromaticity measurements, Phase Locked Loop (PLL) diagnostics, and vibration analysis

Influencing factors of radioiodine therapy in hyperthyroidism in adults

International Nuclear Information System (INIS)

Xu Jiehua; Zhang Zikang; Cheng Muhua; Wu Chunxing; Wang Ping; Shan Hong

2007-01-01

The study was to evaluate factors affecting outcome of 131 I therapy in hyperthyroidism for optimizing the method. Data from 213 patients who received 131 I treatment from July 2003 to July 2005 in our department were retrospectively analyzed. Factors possibly contributing to the outcome of the 1311 therapy were analyzed, including gender, age, history of antithyroid drag, thyroid volume, duration of disease and radioactive iodine uptake rate. Multivariate analysis was done. The rates of euthyroidism and hypothyroidism were 69% and 8.5%, respectively, after one time 131 I therapy. Multivariate analysis of the patients showed no statistically significant factors affecting the outcome of 131 I therapy. The study showed that 131 I dose can be directly calculated, and this simplifies the dose-determined method and individualizes the therapy. (authors)

Prognostic factors of follicular thyroid carcinoma.

Science.gov (United States)

Ríos, Antonio; Rodríguez, José M; Ferri, Belén; Martínez-Barba, Enrique; Torregrosa, Núria M; Parrilla, Pascual

2015-01-01

Most prognostic studies in differentiated carcinoma have included a high number of papillary carcinomas and few follicular carcinomas, and not all of their conclusions therefore apply to the latter. To analyze the prognostic factors of follicular thyroid carcinoma. Patients with histological diagnosis of follicular carcinoma who had undergone potentially curative surgery, had no disseminated disease at diagnosis, and had been followed up for at least 5 years. Tumor recurrence was defined as: 1) tumor lesions with cytological analysis suggesting malignancy and/or 2) patients with total thyroidectomy with thyroglobulin levels >2 ng/mL. Clinical, therapeutic, and histological parameters were analyzed to assess prognostic factors. Recurrence was found in 25 (38%) of the 66 study patients during a follow-up period of 99 ± 38 months. Most patients with recurrence (n=20) had increased Tg levels without anatomical location, and were initially treated with radioactive I131. In the remaining 5 cases, surgical excision of the lesion was performed, and three patients required surgery during the follow-up period. Two patients died due to the disease (3%), and two other patients (3%) currently have distant metastases. Mean disease-free interval was 154 ± 14 months, and rates of disease-free patients at 5, 10, 15, and 20 years were 71, 58, 58, and 58% respectively. Clinical factors influencing recurrence included 1) age (p=0.0035); 2) sex (p=0.0114); and 3) cervical pain (p=0.0026). Histological/surgical factors associated with recurrence included 1) infiltration into neighboring structures (p=0.0000); 2) type of carcinoma (p=0.0000); 3) size (p=0.0162); 4) vascular invasion (p=0.0085); and 5) adenopathies (p=0.046). In the multivariate study, cervical pain (p=0.018) and extrathyroid invasion (p=0.045) continued to be significant factors. In follicular carcinoma, rates of disease-free patients are 71% at 5 years and 58% at 10 years, and the main predictive factors are presence

Validity and representativeness of the "Disease Analyzer" patient database for use in pharmacoepidemiological and pharmacoeconomic studies.

Science.gov (United States)

Becher, H; Kostev, K; Schröder-Bernhardi, D

2009-10-01

Patient and health care databases are available in many countries. These are often based on routinely collected diagnosis and prescription data. Various research questions, such as those related to pharmacoepidemiological health services or drug supply, can be evaluated on the basis of these databases. In Germany, the Disease Analyzer patient database is the largest database of its kind. Using various validity criteria, the representativeness of this database is examined with respect to variables relevant to pharmacoepidemiological and pharmacoeconomic studies. The Disease Analyzer patient database contains data on diagnoses, prescriptions, risk factors (such as smoking and obesity), and laboratory values for approximately 10 million patients from Germany, the UK, France, and Austria. The database also contains data from various groups of specialist physicians as well as from general practitioners and specialists for internal medicine. Data from physicians' practices in Germany form the basis of this investigation. To check the validity and representativeness of the data, the distributions of several variables are analyzed. These variables refer partly to the physicians' practices participating in the study and partly to the patients in these practices. The factors observed include prescriptions for generic drugs, the distribution of diagnostic groups among participating physicians' practices, the distribution of patients according to health insurance fund, the most frequent products, the distribution of package sizes prescribed, and the age structure of patients with various incident cancer diagnoses. These factors were compared with available reference statistics. The sampling methods for the selection of physicians' practices appear to be appropriate. Prescription statistics for several drugs were very similar to available data from the pharmaceutical prescriptions report (Arzneimittelverordnungsreport). The age structures for given diagnoses in Disease Analyzer

Navy Contracting Analyzing Critical Success Factors and Perceived Impact on Success within an Organization

OpenAIRE

Hill, Josh R.; McGraw, Kevin L.

2012-01-01

MBA Professional Report Approved for public release, distribution unlimited Critical Success Factors (CSF) are essential ingredients within an organization that are necessary to meet critical mission objectives. Identifying those factors can be a vital asset and assist leadership in achieving successful outcomes in contract management. This report will focus on three major contracting commands within the United States Navy Naval Supply Systems Command, Global Logistics Support (NAVSUP-G...

Influence of organizational factors on safety

International Nuclear Information System (INIS)

Haber, S.B.; Metlay, D.S.; Crouch, D.A.

1990-01-01

There is a need for a better understanding of exactly how organizational management factors at a nuclear power plant (NPP) affect plant safety performance, either directly or indirectly, and how these factors might be observed, measured, and evaluated. The purpose of this research project is to respond to that need by developing a general methodology for characterizing these organizational and management factors, systematically collecting information on their status and integrating that information into various types of evaluative activities. Research to date has included the development of the Nuclear Organization and Management Analysis Concept (NOMAC) of a NPP, the identification of key organizational and management factors, and the identification of the methods for systematically measuring and analyzing the influence of these factors on performance. Most recently, two field studies, one at a fossil fuel plant and the other at a NPP, were conducted using the developed methodology. Results are presented from both studies highlighting the acceptability, practicality, and usefulness of the methods used to assess the influence of various organizational and management factors including culture, communication, decision-making, standardization, and oversight. 6 refs., 3 figs., 1 tab

Behavior Risk Factors Among Russian Students.

Science.gov (United States)

Anischenko, Aleksander; Arhangelskaya, Anna; Klenov, Michael; Burdukova, Ekaterina; Ogarev, Valrii; Ignatov, Nikolay; Osadchenko, Irina; Gurevich, Konstantin

2017-01-01

Purpose To analyze the prevalence of risk factors among Russian students. Methods In this study, 834 students were included from five Federal universities which were localized in four Federal regions of Russian Federation. Future doctors, school teachers, and wellness trainers were included in this study. Students were specifically asked about smoking, physical activity International Physical Activity Questionnaire (IPAQ), and food preference. Waist, hip, weight, and height were measured. Results The region of study and ethnic group were not influenced with respect to age and body mass index ( p > .1), while all other factors had a significant influence ( p students in comparison with those in future teachers and wellness instructors ( p obesity (due to levels of body mass index and waist-hip ratio) were found in medical students. Perspective Special programs to prevent the most common behavior risk factors in future medical doctors have to be designed.

Applications of tensor (multiway array) factorizations and decompositions in data mining

DEFF Research Database (Denmark)

Mørup, Morten

2011-01-01

Tensor (multiway array) factorization and decomposition has become an important tool for data mining. Fueled by the computational power of modern computer researchers can now analyze large-scale tensorial structured data that only a few years ago would have been impossible. Tensor factorizations...... have several advantages over two-way matrix factorizations including uniqueness of the optimal solution and component identification even when most of the data is missing. Furthermore, multiway decomposition techniques explicitly exploit the multiway structure that is lost when collapsing some...... of the modes of the tensor in order to analyze the data by regular matrix factorization approaches. Multiway decomposition is being applied to new fields every year and there is no doubt that the future will bring many exciting new applications. The aim of this overview is to introduce the basic concepts...

Electron attachment analyzer

International Nuclear Information System (INIS)

Popp, P.; Grosse, H.J.; Leonhardt, J.; Mothes, S.; Oppermann, G.

1984-01-01

The invention concerns an electron attachment analyzer for detecting traces of electroaffine substances in electronegative gases, especially in air. The analyzer can be used for monitoring working places, e. g., in operating theatres. The analyzer consists of two electrodes inserted in a base frame of insulating material (quartz or ceramics) and a high-temperature resistant radiation source ( 85 Kr, 3 H, or 63 Ni)

Environmental Performance in Countries Worldwide: Determinant Factors and Multivariate Analysis

Directory of Open Access Journals (Sweden)

Isabel Gallego-Alvarez

2014-11-01

Full Text Available The aim of this study is to analyze the environmental performance of countries and the variables that can influence it. At the same time, we performed a multivariate analysis using the HJ-biplot, an exploratory method that looks for hidden patterns in the data, obtained from the usual singular value decomposition (SVD of the data matrix, to contextualize the countries grouped by geographical areas and the variables relating to environmental indicators included in the environmental performance index. The sample used comprises 149 countries of different geographic areas. The findings obtained from the empirical analysis emphasize that socioeconomic factors, such as economic wealth and education, as well as institutional factors represented by the style of public administration, in particular control of corruption, are determinant factors of environmental performance in the countries analyzed. In contrast, no effect on environmental performance was found for factors relating to the internal characteristics of a country or political factors.

The dyad palindromic glutathione transferase P enhancer binds multiple factors including AP1.

Science.gov (United States)

Diccianni, M B; Imagawa, M; Muramatsu, M

1992-10-11

Glutathione Transferase P (GST-P) gene expression is dominantly regulated by an upstream enhancer (GPEI) consisting of a dyad of palindromically oriented imperfect TPA (12-O-tetradecanoyl-phorbol-13-acetate)-responsive elements (TRE). GPEI is active in AP1-lacking F9 cells as well in AP1-containing HeLa cells. Despite GPEI's similarity to a TRE, c-jun co-transfection has only a minimal effect on transactivation. Antisense c-jun and c-fos co-transfection experiments further demonstrate the lack of a role for AP1 in GPEI mediated trans-activation in F9 cells, although endogenously present AP1 can influence GPEI in HeLa cells. Co-transfection of delta fosB with c-jun, which forms an inactive c-Jun/delta FosB heterodimer that binds TRE sequences, inhibits GPEI-mediated transcription in AP1-lacking F9 cells as well as AP1-containing HeLa cells. These data suggest novel factor(s) other than AP1 are influencing GPEI. Binding studies reveal multiple nucleoproteins bind to GPEI. These factors are likely responsible for the high level of GPEI-mediated transcription observed in the absence of AP1 and during hepatocarcinogenesis.

Wind energy system time-domain (WEST) analyzers

Science.gov (United States)

Dreier, M. E.; Hoffman, J. A.

1981-01-01

A portable analyzer which simulates in real time the complex nonlinear dynamics of horizontal axis wind energy systems was constructed. Math models for an aeroelastic rotor featuring nonlinear aerodynamic and inertial terms were implemented with high speed digital controllers and analog calculation. This model was combined with other math models of elastic supports, control systems, a power train and gimballed rotor kinematics. A stroboscopic display system graphically depicting distributed blade loads, motion, and other aerodynamic functions on a cathode ray tube is included. Limited correlation efforts showed good comparison between the results of this analyzer and other sophisticated digital simulations. The digital simulation results were successfully correlated with test data.

Applications of human factors engineering in the digital HMI

International Nuclear Information System (INIS)

Zhou Bingjian

2014-01-01

In order to prevent and minimize human errors in the digital main control room, the principles of human factors engineering must be complied strictly in the design process of digital human-machine interface. This paper briefly describes the basic human factors engineering principles of designing main control room, introduces the main steps to implement the human factors engineering verification and validation of main control room, including HSI task support verification, human factors engineering design verification and integrated system validation. Meanwhile, according to the new digital human-machine interface characteristics, the development models of human error are analyzed. (author)

Prediction of Fetal Growth Restriction by Analyzing the Messenger RNAs of Angiogenic Factor in the Plasma of Pregnant Women.

Science.gov (United States)

Takenaka, Shin; Ventura, Walter; Sterrantino, Anna Freni; Kawashima, Akihiro; Koide, Keiko; Hori, Kyoko; Farina, Antonio; Sekizawa, Akihiko

2015-06-01

To predict the occurrence of fetal growth restriction (FGR) by analyzing messenger RNA (mRNA) expression levels of vascular endothelial growth factor receptor 1 (fms-like tyrosine kinase 1 [Flt-1]) in maternal blood. Eleven women with FGR were matched with 88 controls. Plasma samples were obtained during each trimester. The Flt-1 mRNA expression levels were compared between groups. Predicted probabilities were calculated, and sensitivity-specificity (receiver-operating characteristic [ROC]) curves were assessed based on regression models for each trimester measurement and possible combinations of measurements. The mRNA levels of the FGR group during all trimesters were significantly higher than those of the control group. The ROC curve of combined first and second trimester data yielded a detection rate of 60% at a 10% false-positive rate, with an area under curve of 0.79. The Flt-1 mRNA expression in maternal blood can be used as a marker to predict the development of FGR, long before a clinical diagnosis is made. © The Author(s) 2014.

Risk factors for exposure to influenza a viruses, including subtype H5 viruses, in Thai free-grazing ducks.

Science.gov (United States)

Beaudoin, A L; Kitikoon, P; Schreiner, P J; Singer, R S; Sasipreeyajan, J; Amonsin, A; Gramer, M R; Pakinsee, S; Bender, J B

2014-08-01

Free-grazing ducks (FGD) have been associated with highly pathogenic avian influenza (HPAI) H5N1 outbreaks and may be a viral reservoir. In July-August 2010, we assessed influenza exposure of Thai FGD and risk factors thereof. Serum from 6254 ducks was analysed with enzyme-linked immunosorbent assay (ELISA) to detect antibodies to influenza A nucleoprotein (NP), and haemagglutinin H5 protein. Eighty-five per cent (5305 ducks) were seropositive for influenza A. Of the NP-seropositive sera tested with H5 assays (n = 1423), 553 (39%) were H5 ELISA positive and 57 (4%) suspect. Twelve per cent (74 of 610) of H5 ELISA-positive/suspect ducks had H5 titres ≥ 1 : 20 by haemagglutination inhibition. Risk factors for influenza A seropositivity include older age, poultry contact, flock visitors and older purchase age. Study flocks had H5 virus exposure as recently as March 2010, but no HPAI H5N1 outbreaks have been identified in Thailand since 2008, highlighting a need for rigorous FGD surveillance. © 2012 Blackwell Verlag GmbH.

Set-up with electrostatic analyzer for mass spectrometers

International Nuclear Information System (INIS)

Ivanov, V.P.; Sysoev, A.A.; Samsonov, G.A.

1977-01-01

An attachment with an electrostatic analyzer that enables to implement a double focusing of ion beams when used in conjunction with a magnetic analyzer, is suggested. Used as the electrostatic analyzer is a cylindrical capacitor placed in a vacuum chamber. Apart from this, the attachment includes a vacuum pump, a nitrogen trap, a battery supply unit, one-beam ion receivers and a bellows inlet for capacitor adjustment. All assemblies and parts of the attachment are made of stainless steel. The test of a combined operation of the mass-spactrometer and the attachment indicate that the use of the attachment enables the utilization of sources which form ion beams with an energy dispersion of up to 1.5%, the mass-spectrometer resolving power being unchanged

Stress Concentration Factor and Stress Intensity Factor with U-notch and Crack in the Beam

Energy Technology Data Exchange (ETDEWEB)

Seo, Bo Seong; Lee, Kwang Ho [Kyungpook National Univ., Daegu (Korea, Republic of)

2016-05-15

The stress concentration factors and stress intensity factors for a simple beam and a cantilever are analyzed by using finite element method and photoelasticity. Using the analyzed results, the estimated graphs on stress concentration factors and stress intensity factors are obtained. To analyze stress concentration factors of notch, the dimensionless notch length H(height of specimen)/h=1.1-2 and dimensionless gap space r(radius at the notch tip)/h=0.1~0.5 are used, where h=H-c and c is the notch length. As the notch gap length increases and the gap decreases, the stress concentration factors increase. Stress concentration factors of a simple beam are greater than those of a cantilever beam. However, actually, the maximum stress values under a load, a notch length and a gap occur more greatly in the cantilever beam than in the simple beam. To analyze stress intensity factors, the normalized crack length α(crack length)/H=0.2~0.5 is used. As the length of the crack increases, the normalized stress intensity factors increase. The stress intensity factors under a constant load and a crack length occur more greatly in the cantilever beam than in the simple beam.

Application of the SEIPS Model to Analyze Medication Safety in a Crisis Residential Center.

Science.gov (United States)

Steele, Maria L; Talley, Brenda; Frith, Karen H

2018-02-01

Medication safety and error reduction has been studied in acute and long-term care settings, but little research is found in the literature regarding mental health settings. Because mental health settings are complex, medication administration is vulnerable to a variety of errors from transcription to administration. The purpose of this study was to analyze critical factors related to a mental health work system structure and processes that threaten safe medication administration practices. The Systems Engineering Initiative for Patient Safety (SEIPS) model provides a framework to analyze factors affecting medication safety. The model approach analyzes the work system concepts of technology, tasks, persons, environment, and organization to guide the collection of data. In the study, the Lean methodology tools were used to identify vulnerabilities in the system that could be targeted later for improvement activities. The project director completed face-to-face interviews, asked nurses to record disruptions in a log, and administered a questionnaire to nursing staff. The project director also conducted medication chart reviews and recorded medication errors using a standardized taxonomy for errors that allowed categorization of the prevalent types of medication errors. Results of the study revealed disruptions during the medication process, pharmacology training needs, and documentation processes as the primary opportunities for improvement. The project engaged nurses to identify sustainable quality improvement strategies to improve patient safety. The mental health setting carries challenges for safe medication administration practices. Through analysis of the structure, process, and outcomes of medication administration, opportunities for quality improvement and sustainable interventions were identified, including minimizing the number of distractions during medication administration, training nurses on psychotropic medications, and improving the documentation

FACTORS INFLUENCING THE PURCHASE DECISION OF ORGANIC TOFU

Directory of Open Access Journals (Sweden)

Tantry Nugroho

2015-09-01

Full Text Available This study aimed to analyze the factors that influence consumers in making the decision to buy organic tofu. The theory of factors that influence the purchasing behavior developed by Kotler was used as the analytical tool, and these factors include cultural factors, social factors, personal factors, psychological factors and purchasing process. These data were collected through interview techniques and analyzed descriptively using multinomial logistic regression. The characteristics of respondents indicated the consumers who never bought organic tofu are mostly at the age of 26-35 years old and university graduates, do not work, have an expenditure from Rp 1 million to Rp 2.5 million, are highly knowledge, and have the highest scores on the perceptions on sustainable and environmentally friendly organic farming, health benefits, and a more expensive price. There are a number of factors that influence consumers in making purchase decisions of organic tofu including age, education, knowledge and product external factors. The consumers who are potentially interested in purchasing the organic tofu are at the age of 36–50 years old, university graduates, highly knowledgeable in food and organic tofu products, because the higher the education and knowledge, the greater the interest in buying the products, and they approved of the external products such as price, advertising, personal selling and places of selling which are also potentially equal. The managerial implications for the business agents of tofu organic product is that they must be more active in assuring the consumers that these products are good for them by creating a blog, an ad in the local paper, or a pamphlet containing information of the product.Keywords: purchase decision, logistic regression, organic tofu product, purchasing interest

Factors Influencing Environmental Management Practices Among Hotels in Malaysia

OpenAIRE

Zaiton Samdin; Kasimu Abdu Bakori; Hamimah Hassan

2012-01-01

This paper attempts to investigate the factors that influence hotel managers- attitudes towards sustainable tourism practices (STP) in Kuala Lumpur and the state of Selangor in Malaysia. The study distributes 104 questionnaires to hotels ranging from one star to five-star categories including budget hotels. Out of this figure, 60 copies of the questionnaires were returned and analyzed. The finding revealed that of all the seven factors investigated, only the variables measuring incentives and...

Analyzing the factors affecting network lifetime cluster-based wireless sensor network

International Nuclear Information System (INIS)

Malik, A.S.; Qureshi, A.

2010-01-01

Cluster-based wireless sensor networks enable the efficient utilization of the limited energy resources of the deployed sensor nodes and hence prolong the node as well as network lifetime. Low Energy Adaptive Clustering Hierarchy (Leach) is one of the most promising clustering protocol proposed for wireless sensor networks. This paper provides the energy utilization and lifetime analysis for cluster-based wireless sensor networks based upon LEACH protocol. Simulation results identify some important factors that induce unbalanced energy utilization between the sensor nodes and hence affect the network lifetime in these types of networks. These results highlight the need for a standardized, adaptive and distributed clustering technique that can increase the network lifetime by further balancing the energy utilization among sensor nodes. (author)

Analyzing Motives, Preferences, and Experiences in Video Game Play

Directory of Open Access Journals (Sweden)

Donald Loffredo

2017-04-01

Full Text Available This paper presents the results of analyzing motives, preferences, and experiences in video game play. A sample of 112 (64 male and 48 female students completed online the Gaming Attitudes, Motives, and Experiences Scales (GAMES. Separate one-way independent-measures multivariate analyses of variance (MANOVAs were used to determine if there were statistically significant differences by gender, age category, hours of videogame play, and ethnicity on the nine Factor Subscales of the GAMES. The results supported two of the proposed hypotheses. There were statistically differences by gender and hours of videogame play on some of the Factor Subscales of the GAMES.

Atomic force microscope with combined FTIR-Raman spectroscopy having a micro thermal analyzer

Science.gov (United States)

Fink, Samuel D [Aiken, SC; Fondeur, Fernando F [North Augusta, SC

2011-10-18

An atomic force microscope is provided that includes a micro thermal analyzer with a tip. The micro thermal analyzer is configured for obtaining topographical data from a sample. A raman spectrometer is included and is configured for use in obtaining chemical data from the sample.

Multiple factor analysis by example using R

CERN Document Server

Pagès, Jérôme

2014-01-01

Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which the variables are structured into quantitative, qualitative, or mixed groups. Written by the co-developer of this methodology, Multiple Factor Analysis by Example Using R brings together the theoretical and methodological aspects of MFA. It also includes examples of applications and details of how to implement MFA using an R package (FactoMineR).The first two chapters cover the basic factorial analysis methods of principal component analysis (PCA) and multiple correspondence analysis (MCA). The

Analyzing the Problems of Ayandeh Bank Branches across the Country Using Data Mining Technique

Directory of Open Access Journals (Sweden)

Shabnam Mohammadi

2014-06-01

Full Text Available In order to manage problems and complaints of customers and branches, many banks in the country outsource parts of their customer relationship management to companies such as call centers. Since this important unit is managed out of the banks, analyzing the data and evaluating the performance of call centers are very important. On the other hand, many banks are not able to analyze and do not know how to use hidden patterns in the data. Hence, by presenting RFS model in this paper, we have tried to cluster bank branches based on R factor (recently announced problem, F (frequency or number of difficulties and S (branches satisfaction with call center and find the relationship between these factors and mentioned problems. Moreover, call center's ability to resolve problems of branches of each cluster can be assessed using S Factor. Branches were distributed into four optimized clusters based on their behavior pattern. Finally, the results were analyzed and the recommendations were presented to improve the performance of call centers.

Identification of contributing factors to pedestrian overpass selection

Directory of Open Access Journals (Sweden)

Yao Wu

2014-12-01

Full Text Available In order to improve the efficiency of overpass and the safety level of pedestrian, this paper aims to investigate the contributing factors for selective preference of overpass. Eight overpasses were investigated in Xi’an, and a questionnaire was conducted by the pedestrians near the overpass. Totally, 1131 valid samples (873 used of overpasses and 258 non-used of overpasses were collected. Based on the data, a binary logit (BL model was developed to identify what and how the factors affect the selective preference of overpass. The BL model was calibrated by the maximum likelihood method. Likelihood ratio test and McFadden-R2 were used to analyze the goodness-of-fit of the model. The results show that the BL model has a reasonable goodness-of-fit, and the prediction accuracy of the BL model can reach 81.9%. The BL model showed that the selective preference of overpass was significantly influenced by eight factors, including gender, age, career, education level, license, detour wishes, detour distance, and crossing time. Besides, the odds ratios of significant factors were also analyzed to explain the impacts of the factors on selective preference of overpass.

Factors Affecting Aerosol Radiative Forcing

Science.gov (United States)

Wang, J.; Lin, J.; Ni, R.

2016-12-01

Rapid industrial and economic growth has meant large amount of aerosols in the atmosphere with strong radiative forcing (RF) upon the climate system. Over parts of the globe, the negative forcing of aerosols has overcompensated for the positive forcing of greenhouse gases. Aerosol RF is determined by emissions and various chemical-transport-radiative processes in the atmosphere, a multi-factor problem whose individual contributors have not been well quantified. In this study, we analyze the major factors affecting RF of secondary inorganic aerosols (SIOAs, including sulfate, nitrate and ammonium), primary organic aerosol (POA), and black carbon (BC). We analyze the RFof aerosols produced by 11 major regions across the globe, including but not limited to East Asia, Southeast Asia, South Asia, North America, and Western Europe. Factors analyzed include population size, per capita gross domestic production (GDP), emission intensity (i.e., emissionsper unit GDP), chemical efficiency (i.e., mass per unit emissions) and radiative efficiency (i.e., RF per unit mass). We find that among the 11 regions, East Asia produces the largest emissions and aerosol RF, due to relatively high emission intensity and a tremendous population size.South Asia produce the second largest RF of SIOA and BC and the highest RF of POA, in part due to its highest chemical efficiency among all regions. Although Southeast Asia also has large emissions,its aerosol RF is alleviated by its lowest chemical efficiency.The chemical efficiency and radiative efficiency of BC produced by the Middle East-North Africa are the highest across the regions, whereas its RF is loweredbyasmall per capita GDP.Both North America and Western Europe have low emission intensity, compensating for the effects on RF of large population sizes and per capita GDP. There has been a momentum to transfer industries to Southeast Asia and South Asia, and such transition is expected to continue in the coming years. The resulting

Magnetic systems for wide-aperture neutron polarizers and analyzers

Energy Technology Data Exchange (ETDEWEB)

Gilev, A.G. [Neutron Research Department, Petersburg Nuclear Physics Institute, NRC “Kurchatov Institute”, Orlova Roscha, Gatchina, St. Petersburg 188300 (Russian Federation); Pleshanov, N.K., E-mail: pnk@pnpi.spb.ru [Neutron Research Department, Petersburg Nuclear Physics Institute, NRC “Kurchatov Institute”, Orlova Roscha, Gatchina, St. Petersburg 188300 (Russian Federation); Bazarov, B.A.; Bulkin, A.P.; Schebetov, A.F. [Neutron Research Department, Petersburg Nuclear Physics Institute, NRC “Kurchatov Institute”, Orlova Roscha, Gatchina, St. Petersburg 188300 (Russian Federation); Syromyatnikov, V.G. [Neutron Research Department, Petersburg Nuclear Physics Institute, NRC “Kurchatov Institute”, Orlova Roscha, Gatchina, St. Petersburg 188300 (Russian Federation); Physical Department, St. Petersburg State University, Ulyanovskaya, 1, Petrodvorets, St. Petersburg 198504 (Russian Federation); Tarnavich, V.V.; Ulyanov, V.A. [Neutron Research Department, Petersburg Nuclear Physics Institute, NRC “Kurchatov Institute”, Orlova Roscha, Gatchina, St. Petersburg 188300 (Russian Federation)

2016-10-11

Requirements on the field uniformity in neutron polarizers are analyzed in view of the fact that neutron polarizing coatings have been improved during the past decade. The design of magnetic systems that meet new requirements is optimized by numerical simulations. Magnetic systems for wide-aperture multichannel polarizers and analyzers are represented, including (a) the polarizer to be built at channel 4-4′ of the reactor PIK (Gatchina, Russia) for high-flux experiments with a 100×150 mm{sup 2} beam of polarized cold neutrons; (b) the fan analyzer covering a 150×100 mm{sup 2} window of the detector at the Magnetism Reflectometer (SNS, ORNL, USA); (c) the polarizer and (d) the fan analyzer covering a 220×110 mm{sup 2} window of the detector at the reflectometer NERO, which is transferred to PNPI (Russia) from HZG (Germany). Deviations of the field from the vertical did not exceed 2°. The polarizing efficiency of the analyzer at the Magnetism Reflectometer reached 99%, a record level for wide-aperture supermirror analyzers.

High resolution and comprehensive techniques to analyze aerobic methane oxidation in mesocosm experiments

Science.gov (United States)

Chan, E. W.; Kessler, J. D.; Redmond, M. C.; Shiller, A. M.; Arrington, E. C.; Valentine, D. L.; Colombo, F.

2015-12-01

Many studies of microbially mediated aerobic methane oxidation in oceanic environments have examined the many different factors that control the rates of oxidation. However, there is debate on how quickly methane is oxidized once a microbial population is established and what factor(s) are limiting in these types of environments. These factors include the availability of CH4, O2, trace metals, nutrients, and the density of cell population. Limits to these factors can also control the temporal aspects of a methane oxidation event. In order to look at this process in its entirety and with higher temporal resolution, a mesocosm incubation system was developed with a Dissolved Gas Analyzer System (DGAS) coupled with a set of analytical tools to monitor aerobic methane oxidation in real time. With the addition of newer laser spectroscopy techniques (cavity ringdown spectroscopy), stable isotope fractionation caused by microbial processes can also be examined on a real time and automated basis. Cell counting, trace metal, nutrient, and DNA community analyses have also been carried out in conjunction with these mesocosm samples to provide a clear understanding of the biology in methane oxidation dynamics. This poster will detail the techniques involved to provide insights into the chemical and isotopic kinetics controlling aerobic methane oxidation. Proof of concept applications will be presented from seep sites in the Hudson Canyon and the Sleeping Dragon seep field, Mississippi Canyon 118 (MC 118). This system was used to conduct mesocosm experiments to examine methane consumption, O2 consumption, nutrient consumption, and biomass production.

An R package for analyzing and modeling ranking data.

Science.gov (United States)

Lee, Paul H; Yu, Philip L H

2013-05-14

In medical informatics, psychology, market research and many other fields, researchers often need to analyze and model ranking data. However, there is no statistical software that provides tools for the comprehensive analysis of ranking data. Here, we present pmr, an R package for analyzing and modeling ranking data with a bundle of tools. The pmr package enables descriptive statistics (mean rank, pairwise frequencies, and marginal matrix), Analytic Hierarchy Process models (with Saaty's and Koczkodaj's inconsistencies), probability models (Luce model, distance-based model, and rank-ordered logit model), and the visualization of ranking data with multidimensional preference analysis. Examples of the use of package pmr are given using a real ranking dataset from medical informatics, in which 566 Hong Kong physicians ranked the top five incentives (1: competitive pressures; 2: increased savings; 3: government regulation; 4: improved efficiency; 5: improved quality care; 6: patient demand; 7: financial incentives) to the computerization of clinical practice. The mean rank showed that item 4 is the most preferred item and item 3 is the least preferred item, and significance difference was found between physicians' preferences with respect to their monthly income. A multidimensional preference analysis identified two dimensions that explain 42% of the total variance. The first can be interpreted as the overall preference of the seven items (labeled as "internal/external"), and the second dimension can be interpreted as their overall variance of (labeled as "push/pull factors"). Various statistical models were fitted, and the best were found to be weighted distance-based models with Spearman's footrule distance. In this paper, we presented the R package pmr, the first package for analyzing and modeling ranking data. The package provides insight to users through descriptive statistics of ranking data. Users can also visualize ranking data by applying a thought

Analyzing effective elements in agile supply chain

Directory of Open Access Journals (Sweden)

Babak Jamshidi Navid

2012-01-01

Full Text Available Agile supply chain plays an important role on having efficient production planning. There are different factors affecting the efficiency of a supply chain and the attempt of this paper is to find the most important elements in agile supply chain. The proposed model of this paper gathers decision makers' opinions and based on DEMATEL technique determines the most important items. The preliminary results of this survey indicate that we could divide the factors into four groups and two elements including automation and utilization of technical tools of relations and information play the most important roles among other factors.

Factors affecting the local control of stereotactic body radiotherapy for lung tumors including primary lung cancer and metastatic lung tumors

International Nuclear Information System (INIS)

Hamamoto, Yasushi; Kataoka, Masaaki; Yamashita, Motohiro

2012-01-01

The purpose of this study was to identify factors affecting local control of stereotactic body radiotherapy (SBRT) for lung tumors including primary lung cancer and metastatic lung tumors. Between June 2006 and June 2009, 159 lung tumors in 144 patients (primary lung cancer, 128; metastatic lung tumor, 31) were treated with SBRT with 48-60 Gy (mean 50.1 Gy) in 4-5 fractions. Higher doses were given to larger tumors and metastatic tumors in principle. Assessed factors were age, gender, tumor origin (primary vs. metastatic), histological subtype, tumor size, tumor appearance (solid vs. ground glass opacity), maximum standardized uptake value of positron emission tomography using 18 F-fluoro-2-deoxy-D-glucose, and SBRT doses. Follow-up time was 1-60 months (median 18 months). The 1-, 2-, and 3-year local failure-free rates of all lesions were 90, 80, and 77%, respectively. On univariate analysis, metastatic tumors (p<0.0001), solid tumors (p=0.0246), and higher SBRT doses (p=0.0334) were the statistically significant unfavorable factors for local control. On multivariate analysis, only tumor origin was statistically significant (p=0.0027). The 2-year local failure-free rates of primary lung cancer and metastatic lung tumors were 87 and 50%, respectively. A metastatic tumor was the only independently significant unfavorable factor for local control after SBRT. (author)

The Use of Canopy Models to Analyze Light Competition Among Plants

NARCIS (Netherlands)

Anten, N.P.R.; Bastiaans, L.

2016-01-01

Competition for light among plants is an important factor determining plant trait evolution and community dynamics. It may also strongly modulate crop production. Canopy models provide a useful means of analyzing light competition. This use however entails that these models take account of the

Evaluation of corneal biomechanical properties following penetrating keratoplasty using ocular response analyzer

Directory of Open Access Journals (Sweden)

Vanathi Murugesan

2014-01-01

Full Text Available Purpose: To evaluate corneal biomechanical properties in eyes that has undergone penetrating keratoplasty (PK. Materials and Methods: Retrospective observational study in a tertiary care centre. Data recorded included ocular response analyzer (ORA values of normal and post-keratoplasty eyes [corneal hysteresis (CH, corneal resistance factor (CRF, Goldmann-correlated intraocular pressure (IOPg, and cornea-compensated intraocular pressure (IOPcc], corneal topography, and central corneal thickness (CCT. Wilcoxon signed rank test was used to analyze the difference in ORA parameter between post-PK eyes and normal eyes. Correlation between parameters was evaluated with Spearman′s rho correlation. Results: The ORA study of 100 eyes of 50 normal subjects and 54 post-keratoplasty eyes of 51 patients showed CH of 8.340 ± 1.85 and 9.923 ± 1.558, CRF of 8.846 ± 2.39 and 9.577 ± 1.631 in post-PK eyes and normal eyes, respectively. CH and CRF did not correlate with post-keratoplasty astigmatism (P = 0.311 and 0.276, respectively while a significant correlation was observed with IOPg (P = 0.004 and IOPcc (P < 0.001. Conclusion: Biomechanical profiles were significantly decreased in post-keratoplasty eyes with significant correlation with higher IOP as compared with that in normal eyes.

Impact of cardiovascular risk factors on the outcome of renal transplantation

Directory of Open Access Journals (Sweden)

Moghimi Mehrdad

2010-01-01

Full Text Available Cardiovascular diseases are common in renal transplant recipients and renal insuf-ficiency has been shown to be a risk factor for cardiovascular disease. Some studies have reported that cardiovascular risk factors may contribute to the outcome of renal transplantation. This study was performed to determine the impact of cardiovascular risk factors on the outcome of renal transplantation in Iranian subjects. This is a retrospective, observational study including patients of 20-85 years of age who had undergone renal transplantation. Parameters documented and analyzed included demographics, cardiovascular risk factors, past medical history, date of last transplan-tation, the outcome of transplant, last measured serum creatinine, cause of graft failure, rejection, and death. A total of 192 patients were analyzed including 152 in the case group (with identifiable cardiovascular risk factors and 40 controls (transplant recipients without identifiable risk factors. The mean serum creatinine in the case and control groups were 1.33 ± 0.13 and 1.29 ± 0.36 mg/dL respectively (P= 0.493. Response to transplantation was categorized based on a report from the World Health Organization. Complete response to grafting occurred in the control group more than the case group (P= 0.009, while frequency of partial response to grafting was higher in the case group (0.008. A history of chronic obstructive pulmonary diseases (COPD could significantly predict the outcome of grafting (P= 0.008 as could the occurrence of renal failure (P= 0.022. Results were consistently reproduced using multivariate cumulative log it model. Our study indicates that the measured cardiovascular risk factors do not significantly influence the outcome of renal transplantation.

A constriction factor based particle swarm optimisation algorithm to solve the economic dispatch problem including losses

Energy Technology Data Exchange (ETDEWEB)

Young, Steven; Montakhab, Mohammad; Nouri, Hassan

2011-07-15

Economic dispatch (ED) is one of the most important problems to be solved in power generation as fractional percentage fuel reductions represent significant cost savings. ED wishes to optimise the power generated by each generating unit in a system in order to find the minimum operating cost at a required load demand, whilst ensuring both equality and inequality constraints are met. For the process of optimisation, a model must be created for each generating unit. The particle swarm optimisation technique is an evolutionary computation technique with one of the most powerful methods for solving global optimisation problems. The aim of this paper is to add in a constriction factor to the particle swarm optimisation algorithm (CFBPSO). Results show that the algorithm is very good at solving the ED problem and that CFBPSO must be able to work in a practical environment and so a valve point effect with transmission losses should be included in future work.

Risk factors and characteristics of prostate cancer bone metastases

Directory of Open Access Journals (Sweden)

Jun-ming LIN

2017-10-01

Full Text Available Objective To analyze the risk factors and characteristics of bone metastases in patients with prostate cancer. Methods Patients who were diagnosed as prostate cancer by biopsy and histopathologic analysis between June 2006 and June 2016 were included in this study. The clinical data of the patients were reviewed, and the demographic data, laboratory examination results and Gleason score were recorded. The correlations between clinical factors and bone metastasis were analyzed, and the risk factors of bone metastasis were identified. Results A total of 585 patients were recruited in this study, including 228 with bone metastasis and 357 without bone metastasis. Of the patients with bone metastasis, the incidence of pelvic metastasis was the highest, accounting for 81.58%, followed by spin (63.16% and rib (58.33%, and the incidence of clavicle metastasis was the lowest (14.47%. Logistic regression analysis showed that age 85.5U/L, prostate-specific antigen >79.88μg/L and Gleason score >7.5 were the risk factors of bone metastasis in prostate cancer. ROC curve analysis showed that the sensitivity of diagnosing bone metastasis was 56.1%, 66.7%, 68.4% and 56.1%, and the specificity was 56.6%, 81.8%, 70.0% and 65.3%, respectively for above 4 factors. Conclusions The most common site of bone metastasis in patients with prostate cancer is pelvis. Patients' age, concentrations of plasma ALP and PSA, and Gleason score are the risk factors for bone metastasis in patients with prostate cancer. DOI: 10.11855/j.issn.0577-7402.2017.08.09

Miniature mass analyzer

CERN Document Server

Cuna, C; Lupsa, N; Cuna, S; Tuzson, B

2003-01-01

The paper presents the concept of different mass analyzers that were specifically designed as small dimension instruments able to detect with great sensitivity and accuracy the main environmental pollutants. The mass spectrometers are very suited instrument for chemical and isotopic analysis, needed in environmental surveillance. Usually, this is done by sampling the soil, air or water followed by laboratory analysis. To avoid drawbacks caused by sample alteration during the sampling process and transport, the 'in situ' analysis is preferred. Theoretically, any type of mass analyzer can be miniaturized, but some are more appropriate than others. Quadrupole mass filter and trap, magnetic sector, time-of-flight and ion cyclotron mass analyzers can be successfully shrunk, for each of them some performances being sacrificed but we must know which parameters are necessary to be kept unchanged. To satisfy the miniaturization criteria of the analyzer, it is necessary to use asymmetrical geometries, with ion beam obl...

Coherent error study in a retarding field energy analyzer

International Nuclear Information System (INIS)

Cui, Y.; Zou, Y.; Reiser, M.; Kishek, R.A.; Haber, I.; Bernal, S.; O'Shea, P.G.

2005-01-01

A novel cylindrical retarding electrostatic field energy analyzer for low-energy beams has been designed, simulated, and tested with electron beams of several keV, in which space charge effects play an important role. A cylindrical focusing electrode is used to overcome the beam expansion inside the device due to space-charge forces, beam emittance, etc. In this paper, we present the coherent error analysis for this energy analyzer with beam envelope equation including space charge and emittance effects. The study shows that this energy analyzer can achieve very high resolution (with relative error of around 10 -5 ) if taking away the coherent errors by using proper focusing voltages. The theoretical analysis is compared with experimental results

Organizational Factors and Intrapreneurial Competences

Directory of Open Access Journals (Sweden)

Suzete Antonieta Lizote

2013-12-01

Full Text Available This study analyzes the relationship between organizational factors and entrepreneurial competencies of coordinators of undergraduate courses in two community universities in Santa Catarina, Brazil. The organizational factors studied were: management support, freedom at work, rewards, and time available and organizational limitations. Eight entrepreneurial competencies were considered; five included in an achievement set, and three in a planning set. The method was quantitative and descriptive, adopting a structured questionnaire as the data collection tool. Factor analysis, canonical analysis, and multiple regression analysis were performed. The results revealed a positive relationship between the constructs. The most relevant competencies were organizational limitations or uncertainty about tasks, and freedom at work, which indicates the importance having clarity about rules and decisions that should exist both at the level of performance expected of the coordinator, and the freedom that they must feel in their work.

Risk Factors Associated with Mortality and Increased Drug Costs in Nonvariceal Upper Gastrointestinal Bleeding.

Science.gov (United States)

Lu, Mingliang; Sun, Gang; Zhang, Xiu-li; Zhang, Xiao-mei; Liu, Qing-sen; Huang, Qi-yang; Lau, James W Y; Yang, Yun-sheng

2015-06-01

To determine risk factors associated with mortality and increased drug costs in patients with nonvariceal upper gastrointestinal bleeding. We retrospectively analyzed data from patients hospitalized with nonvariceal upper gastrointestinal bleeding between January 2001-December 2011. Demographic and clinical characteristics and drug costs were documented. Univariate analysis determined possible risk factors for mortality. Statistically significant variables were analyzed using a logistic regression model. Multiple linear regression analyzed factors influencing drug costs. p study included data from 627 patients. Risk factors associated with increased mortality were age > 60, systolic blood pressurebleeding rate is 11.20% and mortality is 5.74%. The mortality risk in patients with comorbidities was higher than in patients without comorbidities, and was higher in patients requiring blood transfusion than in patients not requiring transfusion. Rebleeding was associ-ated with mortality. Rebleeding, blood transfusion, and prolonged hospital stay were associated with increased drug costs, whereas bleeding from lesions in the esophagus and duodenum was associated with lower drug costs.

Using Outcomes to Analyze Patients Rather than Patients to Analyze Outcomes: A Step toward Pragmatism in Benefit:risk Evaluation

Science.gov (United States)

Evans, Scott R.; Follmann, Dean

2016-01-01

In the future, clinical trials will have an increased emphasis on pragmatism, providing a practical description of the effects of new treatments in realistic clinical settings. Accomplishing pragmatism requires better summaries of the totality of the evidence in ways that clinical trials consumers---patients, physicians, insurers---find transparent and allow for informed benefit:risk decision-making. The current approach to the analysis of clinical trials is to analyze efficacy and safety separately and then combine these analyses into a benefit:risk assessment. Many assume that this will effectively describe the impact on patients. But this approach is suboptimal for evaluating the totality of effects on patients. We discuss methods for benefit:risk assessment that have greater pragmatism than methods that separately analyze efficacy and safety. These include the concepts of within-patient analyses and composite benefit:risk endpoints with a goal of understanding how to analyze one patient before trying to figure out how to analyze many. We discuss the desirability of outcome ranking (DOOR) and introduce the partial credit strategy using an example in a clinical trial evaluating the effects of a new antibiotic. As part of the example we introduce a strategy to engage patients as a resource to inform benefit:risk analyses consistent with the goal of measuring and weighing outcomes that are most important from the patient’s perspective. We describe a broad vision for the future of clinical trials consistent with increased pragmatism. Greater focus on using endpoints to analyze patients rather than patients to analyze endpoints particularly in late-phase/stage clinical trials is an important part of this vision. PMID:28435515

Validity of a portable glucose, total cholesterol, and triglycerides multi-analyzer in adults.

Science.gov (United States)

Coqueiro, Raildo da Silva; Santos, Mateus Carmo; Neto, João de Souza Leal; Queiroz, Bruno Morbeck de; Brügger, Nelson Augusto Jardim; Barbosa, Aline Rodrigues

2014-07-01

This study investigated the accuracy and precision of the Accutrend Plus system to determine blood glucose, total cholesterol, and plasma triglycerides in adults and evaluated its efficiency in measuring these blood variables. The sample consisted of 53 subjects (≥ 18 years). For blood variable laboratory determination, venous blood samples were collected and processed in a Labmax 240 analyzer. To measure blood variables with the Accutrend Plus system, samples of capillary blood were collected. In the analysis, the following tests were included: Wilcoxon and Student's t-tests for paired samples, Lin's concordance coefficient, Bland-Altman method, receiver operating characteristic curve, McNemar test, and k statistics. The results show that the Accutrend Plus system provided significantly higher values (p ≤ .05) of glucose and triglycerides but not of total cholesterol (p > .05) as compared to the values determined in the laboratory. However, the system showed good reproducibility (Lin's coefficient: glucose = .958, triglycerides = .992, total cholesterol = .940) and high concordance with the laboratory method (Lin's coefficient: glucose = .952, triglycerides = .990, total cholesterol = .944) and high sensitivity (glucose = 80.0%, triglycerides = 90.5%, total cholesterol = 84.4%) and specificity (glucose = 100.0%, triglycerides = 96.9%, total cholesterol = 95.2%) in the discrimination of high values of the three blood variables analyzed. It could be concluded that despite the tendency to overestimate glucose and triglyceride levels, a portable multi-analyzer is a valid alternative for the monitoring of metabolic disorders and cardiovascular risk factors. © The Author(s) 2013.

Effective factors on bank resource mobilization

OpenAIRE

Saeid Ghorbannejad Maleki; Jafar Beikzad

2012-01-01

The main purpose of this paper is to detect effective factors on mobilization of East Azarbaijan Agricultural Bank resources in terms of deposits absorption. In order to reaching this goal, six hypotheses have been arranged and a questionnaire including 28 questions has been designed. So after justifiability and perpetuity evaluation, the questionnaires are distributed among managers of these banks. We have analyzed the data using multi variable regression analysis, Pearson's R and Variant an...

Risk factors for acute surgical site infections after lumbar surgery: a retrospective study.

Science.gov (United States)

Lai, Qi; Song, Quanwei; Guo, Runsheng; Bi, Haidi; Liu, Xuqiang; Yu, Xiaolong; Zhu, Jianghao; Dai, Min; Zhang, Bin

2017-07-19

Currently, many scholars are concerned about the treatment of postoperative infection; however, few have completed multivariate analyses to determine factors that contribute to the risk of infection. Therefore, we conducted a multivariate analysis of a retrospectively collected database to analyze the risk factors for acute surgical site infection following lumbar surgery, including fracture fixation, lumbar fusion, and minimally invasive lumbar surgery. We retrospectively reviewed data from patients who underwent lumbar surgery between 2014 and 2016, including lumbar fusion, internal fracture fixation, and minimally invasive surgery in our hospital's spinal surgery unit. Patient demographics, procedures, and wound infection rates were analyzed using descriptive statistics, and risk factors were analyzed using logistic regression analyses. Twenty-six patients (2.81%) experienced acute surgical site infection following lumbar surgery in our study. The patients' mean body mass index, smoking history, operative time, blood loss, draining time, and drainage volume in the acute surgical site infection group were significantly different from those in the non-acute surgical site infection group (p operative type in the acute surgical site infection group were significantly different than those in the non-acute surgical site infection group (p operative type, operative time, blood loss, and drainage time were independent predictors of acute surgical site infection following lumbar surgery. In order to reduce the risk of infection following lumbar surgery, patients should be evaluated for the risk factors noted above.

Wind Energy System Time-domain (WEST) analyzers using hybrid simulation techniques

Science.gov (United States)

Hoffman, J. A.

1979-01-01

Two stand-alone analyzers constructed for real time simulation of the complex dynamic characteristics of horizontal-axis wind energy systems are described. Mathematical models for an aeroelastic rotor, including nonlinear aerodynamic and elastic loads, are implemented with high speed digital and analog circuitry. Models for elastic supports, a power train, a control system, and a rotor gimbal system are also included. Limited correlation efforts show good comparisons between results produced by the analyzers and results produced by a large digital simulation. The digital simulation results correlate well with test data.

Analyzing Peace Pedagogies

Science.gov (United States)

Haavelsrud, Magnus; Stenberg, Oddbjorn

2012-01-01

Eleven articles on peace education published in the first volume of the Journal of Peace Education are analyzed. This selection comprises peace education programs that have been planned or carried out in different contexts. In analyzing peace pedagogies as proposed in the 11 contributions, we have chosen network analysis as our method--enabling…

Prevalence of Dental Caries among the Population of Gwalior (India) in Relation of Different Associated Factors

Science.gov (United States)

Khan, Abdul Arif; Jain, Sudhir K.; Shrivastav, Archana

2008-01-01

Objectives India is unique in entire world due to variety of dietary habits in population. Many people of India follow totally vegetarian life style through their entire life time due to some religious and cultural reasons. Present study tried to analyze the role of different factors in the occurrence of dental caries including dietary habit. Methods Persons suffering with dental caries were examined for the type of dental caries in relation to different factors. Dental examination was performed and patients were asked a questionnaire and the data was recorded and analyzed. Results Incidence of dental caries was higher in female. High number of dental caries patients was observed among vegetarian population. 21–30 year age group was found to be most infected with dental caries. Conclusions This study can be helpful to analyze respective role of different dietary factors including protein rich diet, age, gender etc. on the prevalence of dental caries, which can be helpful to counteract the potential increase in the cases of dental caries and to design and plan preventive strategies for the persons at greatest risk. PMID:19212515

Teaching High School Students Machine Learning Algorithms to Analyze Flood Risk Factors in River Deltas

Science.gov (United States)

Rose, R.; Aizenman, H.; Mei, E.; Choudhury, N.

2013-12-01

High School students interested in the STEM fields benefit most when actively participating, so I created a series of learning modules on how to analyze complex systems using machine-learning that give automated feedback to students. The automated feedbacks give timely responses that will encourage the students to continue testing and enhancing their programs. I have designed my modules to take the tactical learning approach in conveying the concepts behind correlation, linear regression, and vector distance based classification and clustering. On successful completion of these modules, students will learn how to calculate linear regression, Pearson's correlation, and apply classification and clustering techniques to a dataset. Working on these modules will allow the students to take back to the classroom what they've learned and then apply it to the Earth Science curriculum. During my research this summer, we applied these lessons to analyzing river deltas; we looked at trends in the different variables over time, looked for similarities in NDVI, precipitation, inundation, runoff and discharge, and attempted to predict floods based on the precipitation, waves mean, area of discharge, NDVI, and inundation.

Analyzing of economic growth based on electricity consumption from different sources

Science.gov (United States)

Maksimović, Goran; Milosavljević, Valentina; Ćirković, Bratislav; Milošević, Božidar; Jović, Srđan; Alizamir, Meysam

2017-10-01

Economic growth could be influenced by different factors. In this study was analyzed the economic growth based on the electricity consumption form different sources. As economic growth indicator gross domestic product (GDP) was used. ANFIS (adaptive neuro fuzzy inference system) methodology was applied to determine the most important factors from the given set for the GDP growth prediction. Six inputs were used: electricity production from coal, hydroelectric, natural gas, nuclear, oil and renewable sources. Results shown that the electricity consumption from renewable sources has the highest impact on the economic or GDP growth prediction.

The Common Technique for Analyzing the Financial Results Report

Directory of Open Access Journals (Sweden)

Pasternak Maria M.

2017-04-01

Full Text Available The article is aimed at generalizing the theoretical approaches to the structure and elements of the technique for analysis of the Financial results report (Cumulative income report and providing suggestions for its improvement. The current methods have been analyzed, relevance of the application of a common technique for such analysis has been substantiated. A common technique for analyzing the Financial results report has been proposed, which includes definition of the objectives and tasks of analysis, subjects and objects of analysis, sources of its information. Stages of such an analysis were allocated and described. The findings of the article can be used to theoretically substantiate and to practically develop a technique for analyzing the Financial results report in the branches of Ukrainian economy.

Analysis of factors that influencing the interest of Bali State Polytechnic’s students in entrepreneurship

Science.gov (United States)

Ayuni, N. W. D.; Sari, I. G. A. M. K. K.

2018-01-01

The high rate of unemployment results the economic growth to be hampered. To solve this situation, the government try to change the students’ mindset from becoming a job seeker to become a job creator or entrepreneur. One real action that usually been held in Bali State Polytechnic is Student Entrepreneurial Program. The purpose of this research is to identify and analyze the factors that influence the interest of Bali State Polytechnic’s Students in entrepreneurship, especially in the Entrepreneurial Student Program. Method used in this research is Factor Analysis including Bartlett Test, Kaiser-Mayer Olkin (KMO), Measure of Sampling Adequacy (MSA), factor extraction using Principal Component Analysis (PCA), factor selection using eigen value and scree plot, and factor rotation using orthogonal rotation varimax. Result shows that there are four factors that influencing the interest of Bali State Polytechnic’s Students in Entrepreneurship which are Contextual Factor (including Entrepreneurship Training, Academic Support, Perceived Confidence, and Economic Challenge), Self Efficacy Factor (including Leadership, Mental Maturity, Relation with Entrepreneur, and Authority), Subjective Norm Factor (including Support of Important Relative, Support of Friends, and Family Role), and Attitude Factor (including Self Realization).

Using Factor Analysis Tool to Analyze the Important Packaging Elements that Impact Consumer Buying Behavior

OpenAIRE

Vjollca Visoka Hasani; Jusuf Zeqiri

2015-01-01

The objective of this study is to determine the elements that play an important role on consumer’s buying behavior. The purpose of this research is to find out the main important factors related with the packaging effect. Companies in order to create the right packaging for their products, they must understand the consumer buying process and understand the role and the impact of packaging elements as variables that can influence the purchase decision. So, by understanding what factors influen...

Factors that contribute to biomarker responses in humans including a study in individuals taking Vitamin C supplementation.

Science.gov (United States)

Anderson, D

2001-09-01

It is possible in many situations to identify humans exposed to potentially toxic materials in the workplace and in the environment. As in most human studies, there tends to be a high degree of interindividual variability in response to chemical insults. Some non-exposed control individuals exhibit as high a level of damage as some exposed individuals and some of these have levels of damage as low as many of the controls. Thus, it is only the mean values of the groups that can substantiate an exposure-related problem; the data on an individual basis are still of limited use. While human lymphocytes remain the most popular cell type for monitoring purposes, sperm, buccal, nasal, epithelial and placental cells are also used. However, for interpretation of responses, the issue of confounding factors must be addressed. There are endogenous confounding factors, such as age, gender, and genetic make-up and exogenous ones, including lifestyle habits (smoking, drinking, etc.) There are biomarkers of exposure, effect/response and susceptibility and the last may be influenced by the genotype and polymorphism genes existing in a population. From our own studies, confounding effects on cytogenetic damage and ras oncoproteins will be considered in relation to workers exposed to vinyl chloride and petroleum emissions and to volunteers taking Vitamin C supplementation. Smoking history, exposure and duration of employment affected the worker studies. For petroleum emissions, so did gender and season of exposure. For the non-smoking volunteer Vitamin C supplementation study, cholesterol levels, plasma Vitamin C levels, lipid peroxidation products and DNA damage in the Comet assay were also measured. Gender affected differences in Vitamin C levels, antioxidant capacity and the number of chromosome aberrations induced by bleomycin challenge in vitro. The results were the same for both high and low cholesterol subjects. The relationship between biomarkers and the various factors which

Analyzing the relationship between Customer Satisfaction and Customer Loyalty : Case: Ritz-Carlton Guangzhou

OpenAIRE

Wan, Tong

2015-01-01

This research aims to analyze the relationship between customer satisfaction and customer loyalty. The first objective of this research is to study the concepts of customers’ satisfaction and loyalty and discover the factors influencing them.Secondly, the objective is to analyze the relationship between the concepts of customer’ satisfaction and loyalty. The third objective is to discover how customers’ satisfaction and loyalty can be increased. A set of recommendations for the case company a...

Growth factors FGF8 and FGF2 and their receptor FGFR1, transcriptional factors Msx-1 and MSX-2, and apoptotic factors p19 and RIP5 participate in the early human limb development.

Science.gov (United States)

Becic, Tina; Kero, Darko; Vukojevic, Katarina; Mardesic, Snjezana; Saraga-Babic, Mirna

2018-04-01

The expression pattern of fibroblast growth factors FGF8 and FGF2 and their receptor FGFR1, transcription factors MSX-1 and MSX-2, as well as cell proliferation (Ki-67) and cell death associated caspase-3, p19 and RIP5 factors were analyzed in histological sections of eight 4th-9th-weeks developing human limbs by immunohistochemistry and semi-thin sectioning. Increasing expression of all analyzed factors (except FGF8) characterized both the multilayered human apical ectodermal ridge (AER), sub-ridge mesenchyme (progress zone) and chondrocytes in developing human limbs. While cytoplasmic co-expression of MSX-1 and MSX-2 was observed in both limb epithelium and mesenchyme, p19 displayed strong cytoplasmic expression in non-proliferating cells. Nuclear expression of Ki-67 proliferating cells, and partly of MSX-1 and MSX-2 was detected in the whole limb primordium. Strong expression of factors p19 and RIP5, both in the AER and mesenchyme of human developing limbs indicates their possible involvement in control of cell senescence and cell death. In contrast to animal studies, expression of FGFR1 in the surface ectoderm and p19 in the whole limb primordium might reflect interspecies differences in limb morphology. Expression of FGF2 and downstream RIP5 gene, and transcription factors Msx-1 and MSX-2 did not show human-specific changes in expression pattern. Based on their spatio-temporal expression during human limb development, our study indicates role of FGFs and Msx genes in stimulation of cell proliferation, limb outgrowth, digit elongation and separation, and additionally MSX-2 in control of vasculogenesis. The cascade of orchestrated gene expressions, including the analyzed developmental factors, jointly contribute to the complex human limb development. Copyright © 2018 Elsevier GmbH. All rights reserved.

Analyzing the impact of social factors on homelessness: a Fuzzy Cognitive Map approach

OpenAIRE

Mago, Vijay K; Morden, Hilary K; Fritz, Charles; Wu, Tiankuang; Namazi, Sara; Geranmayeh, Parastoo; Chattopadhyay, Rakhi; Dabbaghian, Vahid

2013-01-01

Background The forces which affect homelessness are complex and often interactive in nature. Social forces such as addictions, family breakdown, and mental illness are compounded by structural forces such as lack of available low-cost housing, poor economic conditions, and insufficient mental health services. Together these factors impact levels of homelessness through their dynamic relations. Historic models, which are static in nature, have only been marginally successful in capturing th...

3-D diffusion program XYZ-MUGDI with data-analyzing program XYZFF

Energy Technology Data Exchange (ETDEWEB)

Siewers, H

1976-01-01

The XYZ-MUGDI program solves boudary value and eigenvalue problems for three-dimensional heterogeneous configurations in X, Y, Z-geometry for a maximum of four energy groups. The program XYZFF is a program for analyzing data; with it especially the average and maximum form factors for arbitrary coarse-meshed networks can be evaluated.

Automated Root Tracking with "Root System Analyzer"

Science.gov (United States)

Schnepf, Andrea; Jin, Meina; Ockert, Charlotte; Bol, Roland; Leitner, Daniel

2015-04-01

Crucial factors for plant development are water and nutrient availability in soils. Thus, root architecture is a main aspect of plant productivity and needs to be accurately considered when describing root processes. Images of root architecture contain a huge amount of information, and image analysis helps to recover parameters describing certain root architectural and morphological traits. The majority of imaging systems for root systems are designed for two-dimensional images, such as RootReader2, GiA Roots, SmartRoot, EZ-Rhizo, and Growscreen, but most of them are semi-automated and involve mouse-clicks in each root by the user. "Root System Analyzer" is a new, fully automated approach for recovering root architectural parameters from two-dimensional images of root systems. Individual roots can still be corrected manually in a user interface if required. The algorithm starts with a sequence of segmented two-dimensional images showing the dynamic development of a root system. For each image, morphological operators are used for skeletonization. Based on this, a graph representation of the root system is created. A dynamic root architecture model helps to determine which edges of the graph belong to an individual root. The algorithm elongates each root at the root tip and simulates growth confined within the already existing graph representation. The increment of root elongation is calculated assuming constant growth. For each root, the algorithm finds all possible paths and elongates the root in the direction of the optimal path. In this way, each edge of the graph is assigned to one or more coherent roots. Image sequences of root systems are handled in such a way that the previous image is used as a starting point for the current image. The algorithm is implemented in a set of Matlab m-files. Output of Root System Analyzer is a data structure that includes for each root an identification number, the branching order, the time of emergence, the parent

Improvements in scaling of counter-current imbibition recovery curves using a shape factor including permeability anisotropy

Science.gov (United States)

Abbasi, Jassem; Sarafrazi, Shiva; Riazi, Masoud; Ghaedi, Mojtaba

2018-02-01

Spontaneous imbibition is the main oil production mechanism in the water invaded zone of a naturally fractured reservoir (NFR). Different scaling equations have been presented in the literature for upscaling of core scale imbibition recovery curves to field scale matrix blocks. Various scale dependent parameters such as gravity effects and boundary influences are required to be considered in the upscaling process. Fluid flow from matrix blocks to the fracture system is highly dependent on the permeability value in the horizontal and vertical directions. The purpose of this study is to include permeability anisotropy in the available scaling equations to improve the prediction of imbibition assisted oil production in NFRs. In this paper, a commercial reservoir simulator was used to obtain imbibition recovery curves for different scenarios. Then, the effect of permeability anisotropy on imbibition recovery curves was investigated, and the weakness of the existing scaling equations for anisotropic rocks was demonstrated. Consequently, an analytical shape factor was introduced that can better scale all the curves related to anisotropic matrix blocks.

Factor analysis of the contextual fine motor questionnaire in children.

Science.gov (United States)

Lin, Chin-Kai; Meng, Ling-Fu; Yu, Ya-Wen; Chen, Che-Kuo; Li, Kuan-Hua

2014-02-01

Most studies treat fine motor as one subscale in a developmental test, hence, further factor analysis of fine motor has not been conducted. In fact, fine motor has been treated as a multi-dimensional domain from both clinical and theoretical perspectives, and therefore to know its factors would be valuable. The aim of this study is to analyze the internal consistency and factor validity of the Contextual Fine Motor Questionnaire (CFMQ). Based on the ecological observation and literature, the Contextual Fine Motor Questionnaire (CFMQ) was developed and includes 5 subscales: Pen Control, Tool Use During Handicraft Activities, the Use of Dining Utensils, Connecting and Separating during Dressing and Undressing, and Opening Containers. The main purpose of this study is to establish the factorial validity of the CFMQ through conducting this factor analysis study. Among 1208 questionnaires, 904 were successfully completed. Data from the children's CFMQ submitted by primary care providers was analyzed, including 485 females (53.6%) and 419 males (46.4%) from grades 1 to 5, ranging in age from 82 to 167 months (M=113.9, SD=16.3). Cronbach's alpha was used to measure internal consistency and explorative factor analysis was applied to test the five factor structures within the CFMQ. Results showed that Cronbach's alpha coefficient of the CFMQ for 5 subscales ranged from .77 to .92 and all item-total correlations with corresponding subscales were larger than .4 except one item. The factor loading of almost all items classified to their factor was larger than .5 except 3 items. There were five factors, explaining a total of 62.59% variance for the CFMQ. In conclusion, the remaining 24 items in the 5 subscales of the CFMQ had appropriate internal consistency, test-retest reliability and construct validity. Copyright © 2013 Elsevier Ltd. All rights reserved.

Thromboelastography platelet mapping in healthy dogs using 1 analyzer versus 2 analyzers.

Science.gov (United States)

Blois, Shauna L; Banerjee, Amrita; Wood, R Darren; Park, Fiona M

2013-07-01

The objective of this study was to describe the results of thromboelastography platelet mapping (TEG-PM) carried out using 2 techniques in 20 healthy dogs. Maximum amplitudes (MA) generated by thrombin (MAthrombin), fibrin (MAfibrin), adenosine diphosphate (ADP) receptor activity (MAADP), and thromboxane A2 (TxA2) receptor activity (stimulated by arachidonic acid, MAAA) were recorded. Thromboelastography platelet mapping was carried out according to the manufacturer's guidelines (2-analyzer technique) and using a variation of this method employing only 1 analyzer (1-analyzer technique) on 2 separate blood samples obtained from each dog. Mean [± standard deviation (SD)] MA values for the 1-analyzer/2-analyzer techniques were: MAthrombin = 51.9 mm (± 7.1)/52.5 mm (± 8.0); MAfibrin = 20.7 mm (± 21.8)/23.0 mm (± 26.1); MAADP = 44.5 mm (± 15.6)/45.6 mm (± 17.0); and MAAA = 45.7 mm (± 11.6)/45.0 mm (± 15.4). Mean (± SD) percentage aggregation due to ADP receptor activity was 70.4% (± 32.8)/67.6% (± 33.7). Mean percentage aggregation due to TxA2 receptor activity was 77.3% (± 31.6)/78.1% (± 50.2). Results of TEG-PM were not significantly different for the 1-analyzer and 2-analyzer methods. High correlation was found between the 2 methods for MAfibrin [concordance correlation coefficient (r) = 0.930]; moderate correlation was found for MAthrombin (r = 0.70) and MAADP (r = 0.57); correlation between the 2 methods for MAAA was lower (r = 0.32). Thromboelastography platelet mapping (TEG-PM) should be further investigated to determine if it is a suitable method for measuring platelet dysfunction in dogs with thrombopathy.

A social work study on socio-economic and cultural factors influencing on community

OpenAIRE

Mohammad Reza Iravani; Mostafa Rajabi; Allahyar Arabmomeni; Akram Fakhri Fakhramini; Mina Shirvani

2013-01-01

We present a study to investigate the impacts of four factors on contribution role on society among Arab tribes Jarghoyeh women who live in Iran. The study designs a questionnaire, distributes them among 400 women, and analyzes their feedbacks. There are four hypotheses, which study the effects of various factors on women’s contribution role on society. These factors include educational background, level of welfare, numbers of children and ties of kinship. The results show that while educatio...

Relativistic effects in the calibration of electrostatic electron analyzers. I. Toroidal analyzers

Energy Technology Data Exchange (ETDEWEB)

Keski Rahkonen, O [Helsinki University of Technology, Espoo (Finland). Laboratory of Physics; Krause, M O [Oak Ridge National Lab., Tenn. (USA)

1978-02-01

Relativistic correction terms up to the second order are derived for the kinetic energy of an electron travelling along the circular central trajectory of a toroidal analyzer. Furthermore, a practical energy calibration equation of the spherical sector plate analyzer is written for the variable-plate-voltage recording mode. Accurate measurements with a spherical analyzer performed using kinetic energies from 600 to 2100 eV are in good agreement with this theory showing our approximation (neglect of fringing fields, and source and detector geometry) is realistic enough for actual calibration purposes.

Risk Factors for Visual Field Progression in the Groningen Longitudinal Glaucoma Study : A Comparison of Different Statistical Approaches

NARCIS (Netherlands)

Wesselink, Christiaan; Marcus, Michael W.; Jansonius, Nomdo M.

2012-01-01

Purpose: To identify risk factors for visual field progression in glaucoma and to compare different statistical approaches with this risk factor analysis. Patients and Methods: We included 221 eyes of 221 patients. Progression was analyzed using Nonparametric Progression Analysis applied to Humphrey

Demonstration of analyzers for multimode photonic time-bin qubits

Science.gov (United States)

Jin, Jeongwan; Agne, Sascha; Bourgoin, Jean-Philippe; Zhang, Yanbao; Lütkenhaus, Norbert; Jennewein, Thomas

2018-04-01

We demonstrate two approaches for unbalanced interferometers as time-bin qubit analyzers for quantum communication, robust against mode distortions and polarization effects as expected from free-space quantum communication systems including wavefront deformations, path fluctuations, pointing errors, and optical elements. Despite strong spatial and temporal distortions of the optical mode of a time-bin qubit, entangled with a separate polarization qubit, we verify entanglement using the Negative Partial Transpose, with the measured visibility of up to 0.85 ±0.01 . The robustness of the analyzers is further demonstrated for various angles of incidence up to 0 .2∘ . The output of the interferometers is coupled into multimode fiber yielding a high system throughput of 0.74. Therefore, these analyzers are suitable and efficient for quantum communication over multimode optical channels.

Multichannel analyzer development in CAMAC

International Nuclear Information System (INIS)

Nagy, J.Z.; Zarandy, A.

1988-01-01

The data acquisition in TOKAMAK experiments some CAMAC modules have been developed. The modules are the following: 64 K analyzer memory, 32 K analyzer memory, 6-channel pulse peak analyzer memory which contains the 32 K analyzer memory and eight AD-converters

Grey Incidence analyze of Environment Monitoring Data and Research on the Disease Prevention Measures of Longmen Grottoes

Science.gov (United States)

LeiLei, Zheng; XueZhi, Fu; Fei, Chu

2018-05-01

Longmen Grottoes was afflicted with many diseases for a long period such as weathering, seepage water and organism growth. Those adverse factors were threatening to preserve cultural relic. Longmen Grottoes conservation and restoration project being put into effect by UNESCO in 2002. The Longmen Grottoes area environmental monitoring system was built in order to comprehensively master the distribution law of environmental factors over the Longmen Grottoes. The monitoring items contains temperature, humidity, wind direction, wind speed, precipitation, light intensity,water content in soil, the rock surface temperature and so on. At the same time, monitoring three experiment caves, monitoring the inside temperature, humidity, seepage water and the wall face temperature etc. So as to analyze the relationship between cave environment and regional environment. We statistical and arrange the data using Excel software, Kgraph software and DPS software. Through the grey incidence analyze, the incidence matrix and the correlation degree of the environmental factors was obtained[1]. The main environment factors for the formation of the disease had been researched. Based on the existing environmental monitor data, the relevance of seepage water and fracture displacement with other environmental factors had been studied, and the relational order was obtained. Corresponding preventive measures were put forward by the formation mechanism analyze of the disease.

NASGRO 3.0: A Software for Analyzing Aging Aircraft

Science.gov (United States)

Mettu, S. R.; Shivakumar, V.; Beek, J. M.; Yeh, F.; Williams, L. C.; Forman, R. G.; McMahon, J. J.; Newman, J. C., Jr.

1999-01-01

Structural integrity analysis of aging aircraft is a critical necessity in view of the increasing numbers of such aircraft in general aviation, the airlines and the military. Efforts are in progress by NASA, the FAA and the DoD to focus attention on aging aircraft safety. The present paper describes the NASGRO software which is well-suited for effectively analyzing the behavior of defects that may be found in aging aircraft. The newly revised Version 3.0 has many features specifically implemented to suit the needs of the aircraft community. The fatigue crack growth computer program NASA/FLAGRO 2.0 was originally developed to analyze space hardware such as the Space Shuttle, the International Space Station and the associated payloads. Due to popular demand, the software was enhanced to suit the needs of the aircraft industry. Major improvements in Version 3.0 are the incorporation of the ability to read aircraft spectra of unlimited size, generation of common aircraft fatigue load blocks, and the incorporation of crack-growth models which include load-interaction effects such as retardation due to overloads and acceleration due to underloads. Five new crack-growth models, viz., generalized Willenborg, modified generalized Willenborg, constant closure model, Walker-Chang model and the deKoning-Newman strip-yield model, have been implemented. To facilitate easier input of geometry, material properties and load spectra, a Windows-style graphical user interface has been developed. Features to quickly change the input and rerun the problem as well as examine the output are incorporated. NASGRO has been organized into three modules, the crack-growth module being the primary one. The other two modules are the boundary element module and the material properties module. The boundary-element module provides the ability to model and analyze complex two-dimensional problems to obtain stresses and stress-intensity factors. The material properties module allows users to store and

Web server attack analyzer

OpenAIRE

Mižišin, Michal

2013-01-01

Web server attack analyzer - Abstract The goal of this work was to create prototype of analyzer of injection flaws attacks on web server. Proposed solution combines capabilities of web application firewall and web server log analyzer. Analysis is based on configurable signatures defined by regular expressions. This paper begins with summary of web attacks, followed by detection techniques analysis on web servers, description and justification of selected implementation. In the end are charact...

Epidemiology and Risk Factors of Functional Constipation in Pregnant Women.

Directory of Open Access Journals (Sweden)

Wenjun Shi

Full Text Available To understand the prevalence of functional constipation in pregnant women and to analyze the impact of its risk factors.We searched hospital databases for women who were 37-41 weeks pregnant (1698 cases from July 2012 to January 2014 in four hospitals in Shanghai. We reviewed factors including general data, living and eating habits, psychological history, past history of defecation in the 6 months before pregnancy and defecation after pregnancy. Data were analyzed using SPSS software.Pregnant women who were more than 35 years old, with a pre-pregnancy body mass index >24, who were highly educated and employed in a sedentary occupation, showed a higher prevalence of functional constipation. Multivariate logistic regression analysis indicated that the prevalence of functional constipation among pregnant women was related to age, pre-pregnancy body mass index, diet, exercise, occupation, psychological factors, threatened abortion in early pregnancy and constipation history.The prevalence rate of functional constipation in pregnant women was significantly higher than in the general population.

Recurrence factors for chronic subdural hematoma after burr-hole surgery

International Nuclear Information System (INIS)

Nagashima, Hiroaki; Sakata, Junichi; Ishii, Taiji; Chiba, Yoshiyuki; Miyake, Shigeru

2010-01-01

Although chronic subdural hematoma (CSDH) is well known as a curable condition, it also has a significant recurrence rate. To identify risk factors for recurrence, we compared the clinical features in two groups of patients with or without recurrence. The present study included 172 adult patients who had underwent one burr-hole and closed-system drainage between April 2007 and January 2010. Of these 23 cases (13.4%) experienced recurrence after surgery. The factors analyzed were patient background including, gender, age, history of drinking, diabetes, and the use of antiplatelet or anticoagulant medications, and a history of head injury, clinical symptoms, including initial neurologic symptoms, and computed tomography findings such as hematoma thickness, midline-shift, and density of the hematoma factors related to surgery such as duration from trauma to surgery and operation method and the recurrence rate. The results of this study showed that a short duration from trauma to surgery and the absence of traumatic history were recurrence factors for CSDH after burr-hole surgery. These results suggest that any cases with these risk factors should be closely observed after burr hole surgery. (author)

The geometric factor of electrostatic plasma analyzers: A case study from the Fast Plasma Investigation for the Magnetospheric Multiscale mission

International Nuclear Information System (INIS)

Collinson, Glyn A.; Dorelli, John C.; Moore, Thomas E.; Pollock, Craig; Mariano, Al; Shappirio, Mark D.; Adrian, Mark L.; Avanov, Levon A.; Lewis, Gethyn R.; Kataria, Dhiren O.; Bedington, Robert; Owen, Christopher J.; Walsh, Andrew P.; Arridge, Chris S.; Chornay, Dennis J.; Gliese, Ulrik; Barrie, Alexander C.; Tucker, Corey

2012-01-01

We report our findings comparing the geometric factor (GF) as determined from simulations and laboratory measurements of the new Dual Electron Spectrometer (DES) being developed at NASA Goddard Space Flight Center as part of the Fast Plasma Investigation on NASA's Magnetospheric Multiscale mission. Particle simulations are increasingly playing an essential role in the design and calibration of electrostatic analyzers, facilitating the identification and mitigation of the many sources of systematic error present in laboratory calibration. While equations for laboratory measurement of the GF have been described in the literature, these are not directly applicable to simulation since the two are carried out under substantially different assumptions and conditions, making direct comparison very challenging. Starting from first principles, we derive generalized expressions for the determination of the GF in simulation and laboratory, and discuss how we have estimated errors in both cases. Finally, we apply these equations to the new DES instrument and show that the results agree within errors. Thus we show that the techniques presented here will produce consistent results between laboratory and simulation, and present the first description of the performance of the new DES instrument in the literature.

Risk Factors for Hispanic Male Intimate Partner Violence Perpetration.

Science.gov (United States)

Mancera, Bibiana M; Dorgo, Sandor; Provencio-Vasquez, Elias

2017-07-01

The literature review analyzed 24 studies that explored male intimate partner violence (IPV) perpetration risk factors among men, in particular Hispanics, using the socioecological model framework composed of four socioecological levels for violence prevention. Six databases were reviewed within the EBSCO search engine for articles published from 2000 to 2014. Articles reviewed were specific to risk factors for IPV perpetration among Hispanic men, focusing particularly on Mexican American men. Many key factors have previously been associated with risk for IPV perpetration; however, certain determinants are unique to Hispanics such as acculturation, acculturation stress, and delineated gender roles that include Machismo and Marianismo. These risk factors should be incorporated in future targeted prevention strategies and efforts and capitalize on the positive aspects of each to serve as protective factors.

Towards a framework for analyzing determinants of performance of community health workers in malaria prevention and control: a systematic review.

Science.gov (United States)

Chipukuma, Helen Mwiinga; Zulu, Joseph Mumba; Jacobs, Choolwe; Chongwe, Gershom; Chola, Mumbi; Halwiindi, Hikabasa; Zgambo, Jessy; Michelo, Charles

2018-05-08

Community health workers (CHWs) are an important human resource in improving coverage of and success to interventions aimed at reducing malaria incidence. Evidence suggests that the performance of CHWs in malaria programs varies in different contexts. However, comprehensive frameworks, based on systematic reviews, to guide the analysis of determinants of performance of CHWs in malaria prevention and control programs are lacking. We systematically searched Google Scholar, Science Direct, and PubMed including reference lists that had English language publications. We included 16 full text articles that evaluated CHW performance in malaria control. Search terms were used and studies that had performance as an outcome of interest attributed to community-based interventions done by CHWs were included. Sixteen studies were included in the final review and were mostly on malaria Rapid Diagnosis and Treatment, as well as adherence to referral guidelines. Factors determining performance and effective implementation of CHW malaria programs included health system factors such as nature of training of CHWs; type of supervision including feedback process; availability of stocks, supplies, and job aids; nature of work environment and reporting systems; availability of financial resources and transport systems; types of remuneration; health staff confidence in CHWs; and workload. In addition, community dynamics such as nature of community connectedness and support from the community and utilization of services by the community also influenced performance. Furthermore, community health worker characteristics such marital status, sex, and CHW confidence levels also shaped CHW performance. Effectively analyzing and promoting the performance of CHWs in malaria prevention and control programs may require adopting a framework that considers health systems and community factors as well as community health worker characteristics.

Radionuclide analysis and scaling factors verification for LLRW of Taipower Reactor

International Nuclear Information System (INIS)

King, J.-Y.; Liu, K.-T.; Chen, S.-C.; Chang, T.-M.; Pung, T.-C.; Men, L.-C.; Wang, S.-J.

2004-01-01

The Atomic Energy Council of the Republic of China (CAEC) final disposal policy for Low Level Radwaste (LLRW) will be carried on in 1996. Institute of Nuclear Energy Research has the contract to develop the Radionuclide analysis method and to establish the scaling factors for LLRW of Taipower reactors. The radionuclides analyzed including: Co-60, Cs-137, Ce-144, γ-nuclides; H-3, C-14, Fe-55, Ni-59, Ni-63, Sr-90, Nb-94, Tc-99, I-129, Pu-238, Pu-239/240, Pu-241, Am-241, Cm-242, Cm-244 α, β and low energy γ nuclides. 120 samples taken from 21 waste streams were analyzed and the database was collected within 2 years. The scaling factors for different kind of waste streams were computed with weighted log-mean average method. In 1993, the scaling factors for each waste stream has been verified through actual station samples. (author)

IRISpy: Analyzing IRIS Data in Python

Science.gov (United States)

Ryan, Daniel; Christe, Steven; Mumford, Stuart; Baruah, Ankit; Timothy, Shelbe; Pereira, Tiago; De Pontieu, Bart

2017-08-01

IRISpy is a new community-developed open-source software library for analysing IRIS level 2 data. It is written in Python, a free, cross-platform, general-purpose, high-level programming language. A wide array of scientific computing software packages have already been developed in Python, from numerical computation (NumPy, SciPy, etc.), to visualization and plotting (matplotlib), to solar-physics-specific data analysis (SunPy). IRISpy is currently under development as a SunPy-affiliated package which means it depends on the SunPy library, follows similar standards and conventions, and is developed with the support of of the SunPy development team. IRISpy’s has two primary data objects, one for analyzing slit-jaw imager data and another for analyzing spectrograph data. Both objects contain basic slicing, indexing, plotting, and animating functionality to allow users to easily inspect, reduce and analyze the data. As part of this functionality the objects can output SunPy Maps, TimeSeries, Spectra, etc. of relevant data slices for easier inspection and analysis. Work is also ongoing to provide additional data analysis functionality including derivation of systematic measurement errors (e.g. readout noise), exposure time correction, residual wavelength calibration, radiometric calibration, and fine scale pointing corrections. IRISpy’s code base is publicly available through github.com and can be contributed to by anyone. In this poster we demonstrate IRISpy’s functionality and future goals of the project. We also encourage interested users to become involved in further developing IRISpy.

Analysing Factors That Drives Customer Loyalty Of Shoes Laundry Quickcares Manado

OpenAIRE

Mawa, Maria; Tumbuan, Willem J.F.Alfa; Tielung, Maria V.J

2017-01-01

This research is to analyzing what are the factors that drive customer loyalty of shoe laundry Quickcares Manado. Shoe Laundry is the services that offer to clean and taking care shoe, Customer Loyalty is the result of consistently positive emotional experience, physical attribute-based satisfaction and perceived value of an experience, which includes the product or services. It is important to know factors that drive customer Loyalty in business, in order to guarantee business continuity and...

Factors influencing liver and spleen volume changes after donor hepatectomy for living donor liver transplantation

Energy Technology Data Exchange (ETDEWEB)

Bae, Ji Hee; Ryeom, Hunku; Song, Jung Hup [Kyungpook National University Hospital, Daegu (Korea, Republic of)

2013-11-15

To define the changes in liver and spleen volumes in the early postoperative period after partial liver donation for living-donor liver transplantation (LDLT) and to determine factors that influence liver and spleen volume changes. 27 donors who underwent partial hepatectomy for LDLT were included in this study. The rates of liver and spleen volume change, measured with CT volumetry, were correlated with several factors. The analyzed factors included the indocyanine green (ICG) retention rate at 15 minutes after ICG administration, preoperative platelet count, preoperative liver and splenic volumes, resected liver volume, resected-to-whole liver volume ratio (LV{sub R}/LV{sub W}), resected liver volume to the sum of whole liver and spleen volume ratio [LV{sub R}/(LV{sub W} + SV{sub 0})], and pre and post hepatectomy portal venous pressures. In all hepatectomy donors, the volumes of the remnant liver and spleen were increased (increased rates, 59.5 ± 50.5%, 47.9 ± 22.6%). The increment rate of the remnant liver volume revealed a positive correlation with LV{sub R}/LV{sub W} (r = 0.759, p < 0.01). The other analyzed factors showed no correlation with changes in liver and spleen volumes. The spleen and remnant liver volumes were increased at CT volumetry performed 2 weeks after partial liver donation. Among the various analyzed factors, LV{sub R}/LV{sub W} influences the increment rate of the remnant liver volume.

Age as a risk factor for suicide

Directory of Open Access Journals (Sweden)

Kocić Sanja S.

2008-01-01

Full Text Available Background/Aim. World Health Organization (WHO in its plan for health policy until the year 2010, has taken reduction of risk factors of suicide as its 12th aim. Because of the fact that the problem of suicide is also significant health problem in our society, the aim of this study was to examine the influence of life period as a risk factor for suicide in the area of the town of Kragujevac. Methods. In total 211 persons, both sexes, aged between 17 and 91 years, from the area of the town of Kragujevac, who had been committed a suicide during the period from 1996 to 2005, were included in a retrospective study. This study included the analysis of: conditions prior to suicide, locations of suicide, motives for suicide, the ways of committing suicide. For statistical analysis χ2 test and univariante regression model were used. Results. Average rate of suicide, in analyzed period, moved from 8.7 to 27 with a mean value of 14.6± 6.9. Suicide rates were the lowest in the age group from 15 to 24 years and the highest in the age group above 65 years (p < 0.05. Among the presuicidal conditions, within any age groups the presence of mental disease dominated as a factor for suicide, but within the oldest one in which organic diseases prevailed as a factor for suicide (p < 0.05. Statistically significant fact is that a house (flat was the main location for committing suicide in any age groups. Motives for suicide were significantly different within the groups and they were mostly unknown. Committing suicide by hanging was the most frequent way of suicide among any age groups. Univariant regression analysis failed to show any impact of age on the analyzed factors. Conclusion. Because of the fact that an average rate of suicide in elderly increases it is obligatory to primarily determine risk factors for suicide among people more than 65 years of age. Physicians should play the most important role in that.

Factors associated with a primary surgical approach for sinonasal squamous cell carcinoma.

Science.gov (United States)

Cracchiolo, Jennifer R; Patel, Krupa; Migliacci, Jocelyn C; Morris, Luc T; Ganly, Ian; Roman, Benjamin R; McBride, Sean M; Tabar, Viviane S; Cohen, Marc A

2018-03-01

Primary surgery is the preferred treatment of T1-T4a sinonasal squamous cell carcinoma (SNSCC). Patients with SNSCC in the National Cancer Data Base (NCDB) were analyzed. Factors that contributed to selecting primary surgical treatment were examined. Overall survival (OS) in surgical patients was analyzed. Four-thousand seven hundred and seventy patients with SNSCC were included. In T1-T4a tumors, lymph node metastases, maxillary sinus location, and treatment at high-volume centers were associated with selecting primary surgery. When primary surgery was utilized, tumor factors and positive margin guided worse OS. Adjuvant therapy improved OS in positive margin resection and advanced T stage cases. Tumor and non-tumor factors are associated with selecting surgery for the treatment of SNSCC. When surgery is selected, tumor factors drive OS. Negative margin resection should be the goal of a primary surgical approach. When a positive margin resection ensues, adjuvant therapy may improve OS. © 2017 Wiley Periodicals, Inc.

Evaluation of haematology analyzer CELL-DYN 3700 SL

Directory of Open Access Journals (Sweden)

Enver Suljević

2003-05-01

Full Text Available Research on the parameters of full blood count and differential white blood count is included in the program of all medical laboratories of primary, secondary and tertiary health care levels. Today, all haematological tests are exclusively performed on the haematology analyzers. Automation of haematology laboratories is a result of the huge requires for haematological test performing, timely issuing of the haematological findings, and possibility of the usage of modern techniques.This work is an evaluation of laser haematology analyzer Cell-Dyn 3700 SL. It investigates the reliability of test results throughout the following parameters: precision, accuracy, sensitivity and specificity of determination methods. It also explores the influence of sample transferring and correlation with haematology analyzer MAXM Retti. Haematology parameters that have been investigated are: white blood cell (WBC, neutrophils (NEU, lymphocytes (LXM, monocytes (MONO, eosinophils (EOS, basophils (BASO, red blood cells (RBC, haemoglobin (HGB, haematocrit (HCT, mean corpuscular volume (MCV, mean corpuscular haemoglobin (MCHC red cell distribution width (RDW, platelet (PLT, mean platelet volume (MPV, plateletocrit (PCT, and platelet distribution width (PDW.The results confirms that precision of analyzer fulfils the reproducibility of testing parameters: WBC, RBC, HGB, MCV, MCH, MCHC, and PLT. Correlation coefficient values (r gained throughout the statistical analysis, that is linear regression results obtained throughout the comparison of two analyzers are adequate except for MCHC (r = 0.64, what is in accordance with literature data.Accuracy is tested by haematology analyzer method and microscopic differentiating method. Correlation coefficient results for granulocytes, lymphocytes and monocytes point the accuracy of methods. Sensitivity and specificity parameters fulfil the analytical criteria.It is confirmed that haematology analyzer Cell-Dyn 3700 SL is reliable for

Benchmarking state-of-the-art optical simulation methods for analyzing large nanophotonic structures

DEFF Research Database (Denmark)

Gregersen, Niels; de Lasson, Jakob Rosenkrantz; Frandsen, Lars Hagedorn

2018-01-01

Five computational methods are benchmarked by computing quality factors and resonance wavelengths inphotonic crystal membrane L5 and L9 line defect cavities. Careful convergence studies reveal that some methods are more suitable than others for analyzing these cavities....

Control of a pulse height analyzer using an RDX workstation

International Nuclear Information System (INIS)

Montelongo, S.; Hunt, D.N.

1984-12-01

The Nuclear Chemistry Division of Lawrence Livermore National laboratory is in the midst of upgrading its radiation counting facilities to automate data acquisition and quality control. This upgrade requires control of a pulse height analyzer (PHA) from an interactive LSI-11/23 workstation running RSX-11M. The PHA is a micro-computer based multichannel analyzer system providing data acquisition, storage, display, manipulation and input/output from up to four independent acquisition interfaces. Control of the analyzer includes reading and writing energy spectra, issuing commands, and servicing device interrupts. The analyzer communicates to the host system over a 9600-baud serial line using the Digital Data Communications link level Protocol (DDCMP). We relieved the RSX workstation CPU from the DDCMP overhead by implementing a DEC compatible in-house designed DMA serial line board (the ISL-11) to communicate with the analyzer. An RSX I/O device driver was written to complete the path between the analyzer and the RSX system by providing the link between the communication board and an application task. The I/O driver is written to handle several ISL-11 cards all operating in parallel thus providing support for control of multiple analyzers from a single workstation. The RSX device driver, its design and use by application code controlling the analyzer, and its operating environment will be discussed

FACTORS INFLUENCING BRAND EQUITY OF BALI AS A TOURISM DESTINATION

Directory of Open Access Journals (Sweden)

I Ketut Surya Diarta

2016-03-01

Full Text Available Globally, competition among tourism destinations is more stringent in getting foreign tourists, including Bali. One effort to win the competition is increasing destination brand equity through maintaining its influencing factors and gaining tourist positive behavior toward destination. This effort, in long run, will increase and stabilize destination revenue and sustainability. This research aims to analyze factors influencing brand equity of Bali as a tourism destination. This research was conducted in Bali’s five major tourism objects. The 240 foreign tourists were chosen as respondents through convenience sampling technique. Data were analyzed using factor analysis. The results showed that factors that significantly influenced Bali brand equity were: symbolic and experiential benefit factor, direct and indirect destinations attributes, destination reliability and tangibility, assurance and empathy, brand destinations recognition and recall, destinations common psychological attributes, destination common functional attributes, unique functional attributes, behavioral loyalty, destination awareness, and attitudinal loyalty. Given the fluctuative nature of brand equity, Bali needs a consistent effort to maintain or to enhance brand equity of Bali as a tourism destination. Maintaining the dominant factors that influence the strength of brand equity can be used as a basis to develop destination branding strategy to expand market segment,  choose the right target market, and anchoring destination position in world market competition.

Evaluation of the spatial patterns and risk factors, including backyard pigs, for classical swine fever occurrence in Bulgaria using a Bayesian model

Directory of Open Access Journals (Sweden)

Beatriz Martínez-López

2014-05-01

Full Text Available The spatial pattern and epidemiology of backyard pig farming and other low bio-security pig production systems and their role in the occurrence of classical swine fever (CSF is described and evaluated. A spatial Bayesian model was used to explore the risk factors, including human demographics, socioeconomic and environmental factors. The analyses were performed for Bulgaria, which has a large number of backyard farms (96% of all pig farms in the country are classified as backyard farms, and it is one of the countries for which both backyard pig and farm counts were available. Results reveal that the high-risk areas are typically concentrated in areas with small family farms, high numbers of outgoing pig shipments and low levels of personal consumption (i.e. economically deprived areas. Identification of risk factors and high-risk areas for CSF will allow to targeting risk-based surveillance strategies leading to prevention, control and, ultimately, elimination of the disease in Bulgaria and other countries with similar socio-epidemiological conditions.

A retrospective analysis of the influencing factors and complications of Q-switched lasers in tattoo removal in China.

Science.gov (United States)

Zhang, Mengli; Gong, Xiangdong; Lin, Tong; Wu, Qiuju; Ge, Yiping; Huang, Yuqing; Ge, LiYu

2018-04-01

Q-switched (QS) lasers are the gold standard for tattoo removal. The purpose of the present study was to gain a more comprehensive understanding of the factors that influence the efficacy of QS lasers and their associated complications in the removal of tattoos in China. Clinical data of 266 patients were analyzed retrospectively. The tattoo clearance rate was evaluated using the 4-point scale. The Cox regression model was applied to analyze the factors that affected the efficacy of QS lasers in tattoo removal. In addition, treatment-related adverse reactions were analyzed. The results showed that several variables had a statistically significant effect (p tattoo removal treatment, including the patients' age, the tattoo's age, type, color, or ink density and the number of treatments. A variety of adverse responses occurred during the laser treatment. The overall incidence of adverse responses was approximately 24.06%, including pigmentation, hypopigmentation, bulla formation, allergic reactions, and skin texture changes or hypertrophic scarring. Some factors may influence the efficacy of QS lasers in the treatment of tattoos and certain adverse reactions may occur during this process.

Probabilistic modeling of bifurcations in single-cell gene expression data using a Bayesian mixture of factor analyzers [version 1; referees: 2 approved

Directory of Open Access Journals (Sweden)

Kieran R Campbell

2017-03-01

Full Text Available Modeling bifurcations in single-cell transcriptomics data has become an increasingly popular field of research. Several methods have been proposed to infer bifurcation structure from such data, but all rely on heuristic non-probabilistic inference. Here we propose the first generative, fully probabilistic model for such inference based on a Bayesian hierarchical mixture of factor analyzers. Our model exhibits competitive performance on large datasets despite implementing full Markov-Chain Monte Carlo sampling, and its unique hierarchical prior structure enables automatic determination of genes driving the bifurcation process. We additionally propose an Empirical-Bayes like extension that deals with the high levels of zero-inflation in single-cell RNA-seq data and quantify when such models are useful. We apply or model to both real and simulated single-cell gene expression data and compare the results to existing pseudotime methods. Finally, we discuss both the merits and weaknesses of such a unified, probabilistic approach in the context practical bioinformatics analyses.

Pipe elbow stiffness coefficients including shear and bend flexibility factors for use in direct stiffness codes

International Nuclear Information System (INIS)

Perry, R.F.

1977-01-01

Historically, developments of computer codes used for piping analysis were based upon the flexibility method of structural analysis. Because of the specialized techniques employed in this method, the codes handled systems composed of only piping elements. Over the past ten years, the direct stiffness method has gained great popularity because of its systematic solution procedure regardless of the type of structural elements composing the system. A great advantage is realized with a direct stiffness code that combines piping elements along with other structural elements such as beams, plates, and shells, in a single model. One common problem, however, has been the lack of an accurate pipe elbow element that would adequately represent the effects of transverse shear and bend flexibility factors. The purpose of the present paper is to present a systematic derivation of the required 12x12 stiffness matrix and load vectors for a three dimensional pipe elbow element which includes the effects of transverse shear and pipe bend flexibility according to the ASME Boiler and Pressure Vessel Code, Section III. The results are presented analytically and as FORTRAN subroutines to be directly incorporated into existing direct stiffness codes. (Auth.)

Prediction of quality attributes of chicken breast fillets by using Vis/NIR spectroscopy combined with factor analysis method

Science.gov (United States)

Visible/near-infrared (Vis/NIR) spectroscopy with wavelength range between 400 and 2500 nm combined with factor analysis method was tested to predict quality attributes of chicken breast fillets. Quality attributes, including color (L*, a*, b*), pH, and drip loss were analyzed using factor analysis ...

Systems and methods for modeling and analyzing networks

Science.gov (United States)

Hill, Colin C; Church, Bruce W; McDonagh, Paul D; Khalil, Iya G; Neyarapally, Thomas A; Pitluk, Zachary W

2013-10-29

The systems and methods described herein utilize a probabilistic modeling framework for reverse engineering an ensemble of causal models, from data and then forward simulating the ensemble of models to analyze and predict the behavior of the network. In certain embodiments, the systems and methods described herein include data-driven techniques for developing causal models for biological networks. Causal network models include computational representations of the causal relationships between independent variables such as a compound of interest and dependent variables such as measured DNA alterations, changes in mRNA, protein, and metabolites to phenotypic readouts of efficacy and toxicity.

ITRA 084 - a microprocessor controlled rapid analyzer in mining and metallurgy

International Nuclear Information System (INIS)

Kliem, V.; Kreher, M.; Boy, N.

1986-01-01

A new rapid analyzer of the ITRA series has been developed at the Freiberg Research Institute of Non-Ferrous Metals for single and multi-element analysis in mining and non-ferrous metallurgy. INTRA-08 represents an efficient microprocessor-controlled on-line X-ray fluorescence analyzer based on the main principles utilized with success hitherto in device engineering (isotope excitation, four-channel modification, balance filter method). A U880 single-chip microcomputer provides the central control of the device including the execution of an extensive program for the matrix correction. The efficiency of the analyzer is demonstrated taking measured values as a basis

Risk Factors and Protective Factors for Lower-Extremity Running Injuries A Systematic Review.

Science.gov (United States)

Gijon-Nogueron, Gabriel; Fernandez-Villarejo, Marina

2015-11-01

A review of the scientific literature was performed 1) to identify studies describing the most common running injuries and their relation to the risk factors that produce them and 2) to search for potential and specific protective factors. Spanish and English biomedical search engines and databases (MEDLINE/PubMed, Database Enfermería Fisioterapia Podología [ENFISPO], Cochrane Library, and Cumulative Index to Nursing and Allied Health Literature) were queried (February 1 to November 30, 2013). A critical reading and assessment was then performed by the Critical Appraisal Skills Programme Spanish tool. In total, 276 abstracts that contained the selected key words were found. Of those, 25 identified and analyzed articles were included in the results. Injuries result from inadequate interaction between the runner's biomechanics and external factors. This leads to an excessive accumulation of impact peak forces in certain structures that tends to cause overuse injuries. The main reasons are inadequate muscle stabilization and pronation. These vary depending on the runner's foot strike pattern, foot arch morphology, and sex. Specific measures of modification and control through running footwear are proposed.

Design and Construction of an Autonomous Low-Cost Pulse Height Analyzer and a Single Channel Analyzer for Moessbauer Spectroscopy

International Nuclear Information System (INIS)

Velasquez, A.A.; Trujillo, J.M.; Morales, A.L.; Tobon, J.E.; Gancedo, J.R.; Reyes, L.

2005-01-01

A multichannel analyzer (MCA) and a single channel-analyzer (SCA) for Moessbauer spectrometry application have been designed and built. Both systems include low-cost digital and analog components. A microcontroller manages, either in PHA or MCS mode, the data acquisition, data storage and setting of the pulse discriminator limits. The user can monitor the system from an external PC through the serial port with the RS232 communication protocol. A graphic interface made with the LabVIEW software allows the user to adjust digitally the lower and upper limits of the pulse discriminator, and to visualize as well as save the PHA spectra in a file. The system has been tested using a 57Co radioactive source and several iron compounds, yielding satisfactory results. The low cost of its design, construction and maintenance make this equipment an attractive choice when assembling a Moessbauer spectrometer

Levels of major and trace elements, including rare earth elements, and ²³⁸U in Croatian tap waters.

Science.gov (United States)

Fiket, Željka; Rožmarić, Martina; Krmpotić, Matea; Benedik, Ljudmila

2015-05-01

Concentrations of 46 elements, including major, trace, and rare earth elements, and (238)U in Croatian tap waters were investigated. Selected sampling locations include tap waters from various hydrogeological regions, i.e., different types of aquifers, providing insight into the range of concentrations of studied elements and (238)U activity concentrations in Croatian tap waters. Obtained concentrations were compared with the Croatian maximum contaminant levels for trace elements in water intended for human consumption, as well as WHO and EPA drinking water standards. Concentrations in all analyzed tap waters were found in accordance with Croatian regulations, except tap water from Šibenik in which manganese in concentration above maximum permissible concentration (MPC) was measured. Furthermore, in tap water from Osijek, levels of arsenic exceeded the WHO guidelines and EPA regulations. In general, investigated tap waters were found to vary considerably in concentrations of studied elements, including (238)U activity concentrations. Causes of variability were further explored using statistical methods. Composition of studied tap waters was found to be predominately influenced by hydrogeological characteristics of the aquifer, at regional and local level, the existing redox conditions, and the household plumbing system. Rare earth element data, including abundances and fractionation patterns, complemented the characterization and facilitated the interpretation of factors affecting the composition of the analyzed tap waters.

Dynamic analyzing procedures adopted for concrete-faced rockfill dams in Turkey

Energy Technology Data Exchange (ETDEWEB)

Tosun, H. [Dam Safety Association, Ankara (Turkey); Tosun, K. [TVT Hydrotech Bureau, Ankara (Turkey)

2008-07-01

A concrete faced rockfill dam (CFRD) has some advantages compared to other embankment types. The advantages include minimal settlement problems through the use of compacted rockfill; increased overall stability of the dam since the water pressure acts on the upstream face; and pore water pressure does not develop in the rockfill zone if it is well designed and constructed. It is thought that well-compacted CFRD has a high resistance to earthquake loading, as based on several factors including acceptable past performance of similar dams. While numerical solutions performed for this type of dams indicate that it is as safe as other embankment dams, their behavior is still questionable when they are subjected to severe seismic loading. This paper outlined the key principals of the dynamic analyzing method adopted for CFRDs in Turkey and summarized the practice of CFRDs with heights ranging from 54 to 135 metres throughout the country. Two-dimensional finite element models were executed to estimate displacements on the crest under the different loadings of earthquake. Dams that were discussed included the Kurtun Dam, the Torul Dam, the Atasu Dam, the Dim Dam, the Gordes Dam, and the Marmaris Dam. The paper also discussed the limitation about permanent settlement provided in the national dam specification and introduced the results obtained from a case study of the Pamukluk Dam located in southern Turkey. Geology and geotechnics as well as the embankment details and materials were discussed. The case study also summarized the selection of seismic parameters and dynamic analyses. 35 refs., 1 tab., 8 figs.

Factors Affecting Employees’ Job Satisfaction in Telecommunication Industry: a case study of Pakistan

OpenAIRE

Mohammad Aamir; Muhammad Salman; Mohammad Asif; Gul Bahar

2014-01-01

Employees’ satisfaction is crucial to any organization. There are numerous factors affecting the employees’ job satisfaction but 5 factors, namely working conditions, pay & promotion, job security, fairness and relations with co-workers. Organizations have to invest on its employees to satisfy its employees. Target audience is in Telecommunication sector Zong and Mobilink in Pakistan and took data through ques-tionnaire and analyzes data through SPSS. The research included 5 independent varia...

Risk Factors for Lower Urinary Tract Dysfunction and Symptoms After Successful Renal Transplantation

OpenAIRE

Mitsui, Takahiko; Moriya, Kimihiko; Morita, Ken; Iwami, Daiki; Kitta, Takeya; Kanno, Yukiko; Takeda, Masayuki; Shinohara, Nobuo

2015-01-01

BACKGROUND: We investigated risk factors for lower urinary tract (LUT) dysfunction and LUT symptoms in patients who successfully underwent renal transplantation (RTX). MATERIAL AND METHODS: Ninety-five patients (54 males and 41 females) undergoing RTX (median age: 45 years old) at Hokkaido University Hospital were included in this study. Uroflowmetry (UFM), postvoid residual urine volume (PVR), and 24-h bladder diaries were performed. We analyzed risk factors for voiding dysfunction, urinary ...

Analyzing rare diseases terms in biomedical terminologies

Directory of Open Access Journals (Sweden)

Erika Pasceri

2012-03-01

Full Text Available Rare disease patients too often face common problems, including the lack of access to correct diagnosis, lack of quality information on the disease, lack of scientific knowledge of the disease, inequities and difficulties in access to treatment and care. These things could be changed by implementing a comprehensive approach to rare diseases, increasing international cooperation in scientific research, by gaining and sharing scientific knowledge about and by developing tools for extracting and sharing knowledge. A significant aspect to analyze is the organization of knowledge in the biomedical field for the proper management and recovery of health information. For these purposes, the sources needed have been acquired from the Office of Rare Diseases Research, the National Organization of Rare Disorders and Orphanet, organizations that provide information to patients and physicians and facilitate the exchange of information among different actors involved in this field. The present paper shows the representation of rare diseases terms in biomedical terminologies such as MeSH, ICD-10, SNOMED CT and OMIM, leveraging the fact that these terminologies are integrated in the UMLS. At the first level, it was analyzed the overlap among sources and at a second level, the presence of rare diseases terms in target sources included in UMLS, working at the term and concept level. We found that MeSH has the best representation of rare diseases terms.

A STUDY OF CHINESE YUAN (RMB APPRECIATION ACCOMPANYING WITH OTHERS FACTORS INCLUDING FOREIGN DIRECT INVESTMENT (FDI AND THEIR EFFECT ON CHINA ECONOMY

Directory of Open Access Journals (Sweden)

Ping-fu (Brian LAI

2014-07-01

Full Text Available The Chinese Yuan (RMB has been on the trend of appreciation over the last decade, and such a trend will likely be continuing for some years over the next decade. According to some scholars in their published literatures, the appreciation of RMB, the influx of Foreign Direct Investment (FDI has been ongoing accompanying the sustained growing economy in mainland China over the past decade. It is believed that the China economy has an implication from some significant factors including appreciation of RMB, interest rate of RMB, inflation and continuous increase of FDI for the next several years. The present study aims to provide an emphasis on investigation into effect on China economy as a result of appreciation of RMB and FDI together with some other factors, and to provide an outlook on the economy in China for the coming decades. First, a review was carried on relevant background information and development history of RMB and FDI. There are many reasons and factors behind leading to the sustained growth in the economy in China in the last decade and such effects were in coverage in the literature review. An overview of the development of RMB exchange mechanism, and other variables including (1 RMB exchange rate, (2 China interest rate, (3 Foreign Direct Investment (FDI, (4 Trade Balance of China, (5 Annual Inflation rate in China, (6 Energy Consumption in China, (7 Foreign Exchange Reserve in China, (8 China wages, (9 China External Debt and (10 China Consumer Price Index, which may have effect on the growth of the economy in China is covered in the literature review conducted in Chapter 2.

Analyzing and forecasting the European social climate

Directory of Open Access Journals (Sweden)

Liliana DUGULEANĂ

2015-06-01

Full Text Available The paper uses the results of the sample survey Eurobarometer, which has been requested by the European Commission. The social climate index is used to measure the level of perceptions of population by taking into account their personal situation and their perspective at national level. The paper makes an analysis of the evolution of social climate indices for the countries of European Union and offers information about the expectations of population of analyzed countries. The obtained results can be compared with the forecasting of Eurobarometer, on short term of one year and medium term of five years. Modelling the social climate index and its influence factors offers useful information about the efficiency of social protection and inclusion policies.

Residency factors that influence pediatric in-training examination score improvement.

Science.gov (United States)

Chase, Lindsay H; Highbaugh-Battle, Angela P; Buchter, Susie

2012-10-01

The goal of this study was to determine which measurable factors of resident training experience contribute to improvement of in-training examination (ITE) and certifying examination (CE) scores. This is a descriptive retrospective study analyzing data from July 2003 through June 2006 at a large academic pediatric training program. Pediatric categorical residents beginning residency in July 2003 were included. Regression analyses were used to determine if the number of admissions performed, core lectures attended, acute care topics heard, grand rounds attended, continuity clinic patients encountered, or procedures performed correlated with improvement of ITE scores. These factors were then analyzed in relation to CE scores. Seventeen residents were included in this study. The number of general pediatric admissions was the only factor found to correlate with an increase in ITE score (P = .04). Scores for the ITE at pediatric levels 1 and 3 were predictive of CE scores. No other factors measured were found to influence CE scores. Although all experiences of pediatric residents likely contribute to professional competence, some experiences may have more effect on ITE and CE scores. In this study, only general pediatric admissions correlated significantly with an improvement in ITE scores from year 1 to year 3. Further study is needed to identify which elements of the residency experience contribute most to CE success. This would be helpful in optimizing residency program structure and curriculum within the limitations of duty hour regulations.

PDA: Pooled DNA analyzer

Directory of Open Access Journals (Sweden)

Lin Chin-Yu

2006-04-01

Full Text Available Abstract Background Association mapping using abundant single nucleotide polymorphisms is a powerful tool for identifying disease susceptibility genes for complex traits and exploring possible genetic diversity. Genotyping large numbers of SNPs individually is performed routinely but is cost prohibitive for large-scale genetic studies. DNA pooling is a reliable and cost-saving alternative genotyping method. However, no software has been developed for complete pooled-DNA analyses, including data standardization, allele frequency estimation, and single/multipoint DNA pooling association tests. This motivated the development of the software, 'PDA' (Pooled DNA Analyzer, to analyze pooled DNA data. Results We develop the software, PDA, for the analysis of pooled-DNA data. PDA is originally implemented with the MATLAB® language, but it can also be executed on a Windows system without installing the MATLAB®. PDA provides estimates of the coefficient of preferential amplification and allele frequency. PDA considers an extended single-point association test, which can compare allele frequencies between two DNA pools constructed under different experimental conditions. Moreover, PDA also provides novel chromosome-wide multipoint association tests based on p-value combinations and a sliding-window concept. This new multipoint testing procedure overcomes a computational bottleneck of conventional haplotype-oriented multipoint methods in DNA pooling analyses and can handle data sets having a large pool size and/or large numbers of polymorphic markers. All of the PDA functions are illustrated in the four bona fide examples. Conclusion PDA is simple to operate and does not require that users have a strong statistical background. The software is available at http://www.ibms.sinica.edu.tw/%7Ecsjfann/first%20flow/pda.htm.

Factors Affecting Christian Parents' School Choice Decision Processes: A Grounded Theory Study

Science.gov (United States)

Prichard, Tami G.; Swezey, James A.

2016-01-01

This study identifies factors affecting the decision processes for school choice by Christian parents. Grounded theory design incorporated interview transcripts, field notes, and a reflective journal to analyze themes. Comparative analysis, including open, axial, and selective coding, was used to reduce the coded statements to five code families:…

Gearbox vibration diagnostic analyzer

Science.gov (United States)

1992-01-01

This report describes the Gearbox Vibration Diagnostic Analyzer installed in the NASA Lewis Research Center's 500 HP Helicopter Transmission Test Stand to monitor gearbox testing. The vibration of the gearbox is analyzed using diagnostic algorithms to calculate a parameter indicating damaged components.

Extraction spectrophotometric analyzer

International Nuclear Information System (INIS)

Batik, J.; Vitha, F.

1985-01-01

Automation is discussed of extraction spectrophotometric determination of uranium in a solution. Uranium is extracted from accompanying elements in an HCl medium with a solution of tributyl phosphate in benzene. The determination is performed by measuring absorbance at 655 nm in a single-phase ethanol-water-benzene-tributyl phosphate medium. The design is described of an analyzer consisting of an analytical unit and a control unit. The analyzer performance promises increased productivity of labour, improved operating and hygiene conditions, and mainly more accurate results of analyses. (J.C.)

Influence Factor of Tertiary Students’ Employability Awareness Adjust Industry 4.0

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Chun-Mei Chou

2017-09-01

Full Text Available This study aims to analyze the correlation (N=621 among tertiary students’ career planning, erecruiting adoption acceptance, and employability awareness in Taiwan. Tertiary students’ perceived career planning includes four factors, namely, self-appraisal, job expectancy, goal selection, and problem solving. E-recruiting adoption acceptance includes four factors, namely, playfulness, ease of use, effectiveness, and usefulness. Employability awareness includes four factors, namely, personal adaptability, employability ambition, career identity, and labour market. Participants responded to a 5-point Likert-type scale for each factor. Analysis was conducted using the structural equation modeling (SEM, and a good model fit was found for both the measurement and structural models. Research findings demonstrate that tertiary students’ career planning significantly and directly influences employability awareness. Career planning significantly and indirectly influences employability awareness by e-recruiting adoption acceptance. Tertiary students’ career planning and e-recruiting adoption acceptance fit the influence model and empirical data of employability awareness. Implications of this study, including the value of student self-assessment of their skills and utility of the e-recruiting to underpin personal career development planning and inform graduate recruitment processes, are discussed and recommendations made.

A tandem parallel plate analyzer

International Nuclear Information System (INIS)

Hamada, Y.; Fujisawa, A.; Iguchi, H.; Nishizawa, A.; Kawasumi, Y.

1996-11-01

By a new modification of a parallel plate analyzer the second-order focus is obtained in an arbitrary injection angle. This kind of an analyzer with a small injection angle will have an advantage of small operational voltage, compared to the Proca and Green analyzer where the injection angle is 30 degrees. Thus, the newly proposed analyzer will be very useful for the precise energy measurement of high energy particles in MeV range. (author)

Using the Analytic Hierarchy Process to Analyze Multiattribute Decisions.

Science.gov (United States)

Spires, Eric E.

1991-01-01

The use of the Analytic Hierarchy Process (AHP) in assisting researchers to analyze decisions is discussed. The AHP is compared with other decision-analysis techniques, including multiattribute utility measurement, conjoint analysis, and general linear models. Insights that AHP can provide are illustrated with data gathered in an auditing context.…

Retrospective cohort study of prognostic factors in patients with oral cavity and oropharyngeal squamous cell carcinoma.

Science.gov (United States)

Carrillo, José F; Carrillo, Liliana C; Cano, Ana; Ramirez-Ortega, Margarita C; Chanona, Jorge G; Avilés, Alejandro; Herrera-Goepfert, Roberto; Corona-Rivera, Jaime; Ochoa-Carrillo, Francisco J; Oñate-Ocaña, Luis F

2016-04-01

Prognostic factors in oral cavity and oropharyngeal squamous cell carcinoma (SCC) are debated. The purpose of this study was to investigate the association of prognostic factors with oncologic outcomes. Patients with oral cavity and oropharyngeal SCC treated from 1997 to 2012 were included in this retrospective cohort study. Associations of prognostic factors with locoregional recurrence (LRR) or overall survival (OS) were analyzed using the logistic regression and the Cox models. Six hundred thirty-four patients were included in this study; tumor size, surgical margins, and N classification were associated with LRR (p oral cavity and oropharyngeal SCC. © 2015 Wiley Periodicals, Inc.

Brachial plexus palsy and shoulder dystocia: obstetric risk factors remain elusive.

Science.gov (United States)

Ouzounian, Joseph G; Korst, Lisa M; Miller, David A; Lee, Richard H

2013-04-01

Shoulder dystocia (SD) and brachial plexus palsy (BPP) are complications of childbirth that can result in significant long-term sequelae. The purpose of the present study was to analyze risk factors in cases of SD and BPP. We performed a retrospective study of laboring women who delivered a singleton, term, live-born infant at the Los Angeles County + University of Southern California Medical Center from 1995 to 2004. Multivariable logistic regression models were used to analyze risk factors among SD cases with and without BPP. Of the 13,998 deliveries that met inclusion criteria, 221 (1.6%) had SD. Of these, 42 (19.0%) had BPP. After testing for association with multiple potential risk factors, including maternal demographic variables, diabetes, hypertension, prior cesarean delivery, uterine abnormalities, induction of labor, prolonged second stage (adjusted by parity and epidural use), assisted vaginal delivery, and neonatal birth weight, no statistical association of BPP with any specific risk factor was identified. In the present study, we were unable to identify any reliable risk factors for BPP among deliveries with or without SD. SD and BPP remain unpredictable complications of childbirth. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

Analyzing in the present

DEFF Research Database (Denmark)

Revsbæk, Line; Tanggaard, Lene

2015-01-01

The article presents a notion of “analyzing in the present” as a source of inspiration in analyzing qualitative research materials. The term emerged from extensive listening to interview recordings during everyday commuting to university campus. Paying attention to the way different parts of vari...

Analyzing the Impacts of Alternated Number of Iterations in Multiple Imputation Method on Explanatory Factor Analysis

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Duygu KOÇAK

2017-11-01

Full Text Available The study aims to identify the effects of iteration numbers used in multiple iteration method, one of the methods used to cope with missing values, on the results of factor analysis. With this aim, artificial datasets of different sample sizes were created. Missing values at random and missing values at complete random were created in various ratios by deleting data. For the data in random missing values, a second variable was iterated at ordinal scale level and datasets with different ratios of missing values were obtained based on the levels of this variable. The data were generated using “psych” program in R software, while “dplyr” program was used to create codes that would delete values according to predetermined conditions of missing value mechanism. Different datasets were generated by applying different iteration numbers. Explanatory factor analysis was conducted on the datasets completed and the factors and total explained variances are presented. These values were first evaluated based on the number of factors and total variance explained of the complete datasets. The results indicate that multiple iteration method yields a better performance in cases of missing values at random compared to datasets with missing values at complete random. Also, it was found that increasing the number of iterations in both missing value datasets decreases the difference in the results obtained from complete datasets.

Patient safety - the role of human factors and systems engineering.

Science.gov (United States)

Carayon, Pascale; Wood, Kenneth E

2010-01-01

Patient safety is a global challenge that requires knowledge and skills in multiple areas, including human factors and systems engineering. In this chapter, numerous conceptual approaches and methods for analyzing, preventing and mitigating medical errors are described. Given the complexity of healthcare work systems and processes, we emphasize the need for increasing partnerships between the health sciences and human factors and systems engineering to improve patient safety. Those partnerships will be able to develop and implement the system redesigns that are necessary to improve healthcare work systems and processes for patient safety.

Patient Safety: The Role of Human Factors and Systems Engineering

Science.gov (United States)

Carayon, Pascale; Wood, Kenneth E.

2011-01-01

Patient safety is a global challenge that requires knowledge and skills in multiple areas, including human factors and systems engineering. In this chapter, numerous conceptual approaches and methods for analyzing, preventing and mitigating medical errors are described. Given the complexity of healthcare work systems and processes, we emphasize the need for increasing partnerships between the health sciences and human factors and systems engineering to improve patient safety. Those partnerships will be able to develop and implement the system redesigns that are necessary to improve healthcare work systems and processes for patient safety. PMID:20543237

Geologic factors in nuclear waste disposal

International Nuclear Information System (INIS)

Towse, D.

1978-07-01

The study of geosciences and their relation to nuclear waste disposal and management entails analyzing the hydrology, chemistry, and geometry of the nuclear waste migration process. Hydrologic effects are determined by analyzing the porosity and permeability (natural and induced) of rock as well as pressures and gradients, dispersion, and aquifer length of the system. Chemistry parameters include radionuclide retardation factors and waste dissolution rate. Geometric parameters (i.e., parameters with dimension) evaluated include repository layer thickness, fracture zone area, tunnel length, and aquifer length. The above parameters act as natural barriers or controls to nuclear waste migration, and are evaluated in three potential geologic media: salt, shale, and crystalline rock deposits. Parametric values are assigned that correspond to many existing situations. These values, in addition to other important inputs, are lumped as a hydrology input into a computer simulation program used to model and calculate nuclear waste migration from the repository to the biosphere, and potential individual and population dose and radiation effects. These results are preliminary and show trends only; they do not represent an actual risk analysis

Being Included and Excluded

DEFF Research Database (Denmark)

Korzenevica, Marina

2016-01-01

Following the civil war of 1996–2006, there was a dramatic increase in the labor mobility of young men and the inclusion of young women in formal education, which led to the transformation of the political landscape of rural Nepal. Mobility and schooling represent a level of prestige that rural...... politics. It analyzes how formal education and mobility either challenge or reinforce traditional gendered norms which dictate a lowly position for young married women in the household and their absence from community politics. The article concludes that women are simultaneously excluded and included from...... community politics. On the one hand, their mobility and decision-making powers decrease with the increase in the labor mobility of men and their newly gained education is politically devalued when compared to the informal education that men gain through mobility, but on the other hand, schooling strengthens...

Monitoring machining conditions by analyzing cutting force vibration

Energy Technology Data Exchange (ETDEWEB)

Piao, Chun Guang; Kim, Ju Wan; Kim, Jin Oh; Shin, Yoan [Soongsl University, Seoul (Korea, Republic of)

2015-09-15

This paper deals with an experimental technique for monitoring machining conditions by analyzing cutting-force vibration measured at a milling machine. This technique is based on the relationship of the cutting-force vibrations with the feed rate and cutting depth as reported earlier. The measurement system consists of dynamic force transducers and a signal amplifier. The analysis system includes an oscilloscope and a computer with a LabVIEW program. Experiments were carried out at various feed rates and cutting depths, while the rotating speed was kept constant. The magnitude of the cutting force vibration component corresponding to the number of cutting edges multiplied by the frequency of rotation was linearly correlated with the machining conditions. When one condition of machining is known, another condition can be identified by analyzing the cutting-force vibration.

Monitoring machining conditions by analyzing cutting force vibration

International Nuclear Information System (INIS)

Piao, Chun Guang; Kim, Ju Wan; Kim, Jin Oh; Shin, Yoan

2015-01-01

This paper deals with an experimental technique for monitoring machining conditions by analyzing cutting-force vibration measured at a milling machine. This technique is based on the relationship of the cutting-force vibrations with the feed rate and cutting depth as reported earlier. The measurement system consists of dynamic force transducers and a signal amplifier. The analysis system includes an oscilloscope and a computer with a LabVIEW program. Experiments were carried out at various feed rates and cutting depths, while the rotating speed was kept constant. The magnitude of the cutting force vibration component corresponding to the number of cutting edges multiplied by the frequency of rotation was linearly correlated with the machining conditions. When one condition of machining is known, another condition can be identified by analyzing the cutting-force vibration

Risk Factors for Pressure Ulcers Including Suspected Deep Tissue Injury in Nursing Home Facility Residents: Analysis of National Minimum Data Set 3.0.

Science.gov (United States)

Ahn, Hyochol; Cowan, Linda; Garvan, Cynthia; Lyon, Debra; Stechmiller, Joyce

2016-04-01

To provide information on risk factors associated with pressure ulcers (PrUs), including suspected deep tissue injury (sDTI), in nursing home residents in the United States. This continuing education activity is intended for physicians and nurses with an interest in skin and wound care. After participating in this educational activity, the participant should be better able to:1. Examine the literature related to risk factors for the development of PrUs.2. Compare risk factors associated with the prevalence of PrUs and sDTI from the revised Minimum Data Set 3.0 2012 using a modified Defloor's conceptual model of PrUs as a theoretical framework. This study aims to characterize and compare risk factors associated with pressure ulcers (PrUs), including suspected deep tissue injury (sDTI), in nursing home (NH) residents in the United States. Secondary analysis of the 2012 Minimum Data Set (MDS 3.0). Medicare- or Medicaid-certified NHs in the United States. Nursing home residents (n = 2,936,146) 18 years or older with complete PrU data, who received comprehensive assessments from January to December 2012. Pressure ulcer by stage was the outcome variable. Explanatory variables (age, gender, race and ethnicity, body mass index, skin integrity, system failure, disease, infection, mobility, and cognition) from the MDS 3.0 were aligned with the 4 elements of Defloor's conceptual model: compressive forces, shearing forces, tissue tolerance for pressure, and tissue tolerance for oxygen. Of 2,936,146 NH residents who had complete data for PrU, 89.9% had no PrU; 8.4% had a Stage 2, 3, or 4 or unstagable PrU; and 1.7% had an sDTI. The MDS variables corresponding to the 4 elements of Defloor's model were significantly predictive of both PrU and sDTI. Black residents had the highest risk of any-stage PrU, and Hispanic residents had the highest risk of sDTI. Skin integrity, system failure, infection, and disease risk factors had larger effect sizes for sDTI than for other PrU stages

Situational effects of the school factors included in the dynamic model of educational effectiveness

NARCIS (Netherlands)

Creerners, Bert; Kyriakides, Leonidas

We present results of a longitudinal study in which 50 schools, 113 classes and 2,542 Cypriot primary students participated. We tested the validity of the dynamic model of educational effectiveness and especially its assumption that the impact of school factors depends on the current situation of

Development and evaluation of a computer-aided system for analyzing human error in railway operations

International Nuclear Information System (INIS)

Kim, Dong San; Baek, Dong Hyun; Yoon, Wan Chul

2010-01-01

As human error has been recognized as one of the major contributors to accidents in safety-critical systems, there has been a strong need for techniques that can analyze human error effectively. Although many techniques have been developed so far, much room for improvement remains. As human error analysis is a cognitively demanding and time-consuming task, it is particularly necessary to develop a computerized system supporting this task. This paper presents a computer-aided system for analyzing human error in railway operations, called Computer-Aided System for Human Error Analysis and Reduction (CAS-HEAR). It supports analysts to find multiple levels of error causes and their causal relations by using predefined links between contextual factors and causal factors as well as links between causal factors. In addition, it is based on a complete accident model; hence, it helps analysts to conduct a thorough analysis without missing any important part of human error analysis. A prototype of CAS-HEAR was evaluated by nine field investigators from six railway organizations in Korea. Its overall usefulness in human error analysis was confirmed, although development of its simplified version and some modification of the contextual factors and causal factors are required in order to ensure its practical use.

The 3-D diffusion program XYZ-MUGDI with data-analyzing program XYZFF

International Nuclear Information System (INIS)

Siewers, H.

1976-01-01

The XYZ-MUGDI program solves boudary value and eigenvalue problems for three-dimensional heterogeneous configurations in X, Y, Z-geometry for a maximum of four energy groups. The program XYZFF is a program for analyzing data; with it especially the average and maximum form factors for arbitrary coarse-meshed networks can be evaluated. (orig.) [de

A computerised EEG-analyzing system for small laboratory animals

NARCIS (Netherlands)

Kropveld, D.; Chamuleau, R. A.; Popken, R. J.; Smith, J.

1983-01-01

The experimental setup, including instrumentation and software packaging, is described for the use of a minicomputer as an on-line analyzing system of the EEG in rats. Complete fast Fourier transformation of the EEG sampled in 15 episodes of 10 s each is plotted out within 7 min after the start of

The risk factors of acute attack of benign paroxysmal positional vertigo

Directory of Open Access Journals (Sweden)

Rabiei Sohrab

2010-04-01

Full Text Available ntroduction: Many people suffer from vertigo. Its origin in 85% of cases is otological while in 15% is central etiology. Benign paroxysmal positional vertigo (BPPV is the most common cause of the true vertigo. In this research we evaluated the risk factors of acute attack of BPPV. Materials and Methods: This study was performed on 322 patients, presenting with BPPV. Diagnosis was confirmed by history and Dix-Hallpike manoeuvre. The underling risk factors documented carefully. Data analyzed by SPSS and K.square test. Results: Number of 321 patients (including 201 females and 120 males with BPPV included in our study. Their average age was 41. They showed symptoms for 1 month to 15 years (mean 8 months. Emotional stress was positive in 34% and trauma was the only risk factor in 8.12% patients. Ear surgery and prolonged journey were respectively the main risk factors in 7.2 and 12.8% of patients. Conclusion: The confirmed risk factors of acute attack of BPPV were as trauma, major surgery and ear surgery especially stapedotomy, vestibular  neuronitis and prolonged bedrestriction. Meniere was not considered as risk factor. In our study the psychological conflict was the major risk factor for BPPV. Other new risk factors which introduced for first time included; sleep disorder, fatigue, professional sport, starving and prolonged journey.

Correlation analysis of lung cancer and urban spatial factor: based on survey in Shanghai.

Science.gov (United States)

Wang, Lan; Zhao, Xiaojing; Xu, Wangyue; Tang, Jian; Jiang, Xiji

2016-09-01

The density of particulate matter (PM) in mega-cities in China such as Beijing and Shanghai has exceeded basic standards for health in recent years. Human exposure to PMs has been identified as traceable and controllable factor among all complicated risk factors for lung cancer. While the improvement of air quality needs tremendous efforts and time, certain revision of PM's density might happen associated with the adjustment of built environment. It is also proved that urban built environment is directly relevant to respiratory disease. Studies have respectively explored the indoor and outdoor factors on respiratory diseases. More comprehensive spatial factors need to be analyzed to understand the cumulative effect of built environment upon respiratory system. This interdisciplinary study examines the impact of both indoor (including age of housing, interval after decoration, indoor humidity etc.) and outdoor spatial factors (including density, parking, green spaces etc.) on lung cancer. A survey of lung cancer patients and a control group has been conducted in 2014 and 2015. A total of 472 interviewees are randomly selected within a pool of local residents who have resided in Shanghai for more than 5 years. Data are collected including their socio-demographic factors, lifestyle factors, and external and internal residential area factors. Regression models are established based on collected data to analyze the associations between lung cancer and urban spatial factors. Regression models illustrate that lung cancer presents significantly associated with a number of spatial factors. Significant outdoor spatial factors include external traffic volume (P=0.003), main plant type (P=0.035 for trees) of internal green space, internal water body (P=0.027) and land use of surrounding blocks (P=0.005 for residential areas of 7-9 floors, P=0.000 for residential areas of 4-6 floors, P=0.006 for business/commercial areas over 10 floors, P=0.005 for business/commercial areas of

Factor analysis for the adoption of nuclear technology in diagnosis and treatment of chronic diseases

International Nuclear Information System (INIS)

Sato, Renato Cesar; Zouain, Desiree Moraes

2012-01-01

To identify and evaluate latent variables (variables that are not directly observed) for adopting and using nuclear technologies in diagnosis and treatment of chronic diseases. The measurement and management of these latent factors are important for health care due to complexities of the sector. Methods: An exploratory factor analysis study was conducted among 52 physicians practicing in the areas of Cardiology, Neurology and Oncology in the State of Sao Paulo who agreed to participate in the study between 2009 and 2010. Data were collected using an attitude measurement questionnaire, and analyzed according to the principal component method with Varimax rotation. Results: The component matrix after factor rotation showed three elucidative groups arranged according to demand for nuclear technology: clinical factors, structural factors, and technological factors. Clinical factors included questionnaire answers referring to medical history, previous interventions, complexity and chronicity of the disease. Structural factors included patient age, physician's practice area, and payment ability. Technological factors included prospective growth in the use of nuclear technology and availability of services. Conclusions: The clinical factors group dimension identified in the study included patient history, prior interventions, and complexity and chronicity of the disease. This dimension is the main motivating for adopting nuclear technology in diagnosis and treatment of chronic diseases. (author)

Thermo Scientific Ozone Analyzer Instrument Handbook

Energy Technology Data Exchange (ETDEWEB)

Springston, S. R. [Brookhaven National Lab. (BNL), Upton, NY (United States)

2016-03-01

The primary measurement output from the Thermo Scientific Ozone Analyzer is the concentration of the analyte (O3) reported at 1-s resolution in units of ppbv in ambient air. Note that because of internal pneumatic switching limitations the instrument only makes an independent measurement every 4 seconds. Thus, the same concentration number is repeated roughly 4 times at the uniform, monotonic 1-s time base used in the AOS systems. Accompanying instrument outputs include sample temperatures, flows, chamber pressure, lamp intensities and a multiplicity of housekeeping information. There is also a field for operator comments made at any time while data is being collected.

Resolution of VISION, a crystal-analyzer spectrometer

International Nuclear Information System (INIS)

Seeger, Philip A.; Daemen, Luke L.; Larese, John Z.

2009-01-01

We present both analytic and Monte Carlo calculations of the resolution of VISION, which is a crystal-analyzer spectrometer based on the TOSCA design. The analyzer crystal in VISION is configured to focus in time, radial, and transverse directions ('triple focused'). Previously published analytical results have two serious flaws in the handling of the statistics, which gave misleading results. First, Gaussian distributions were assumed for all resolution components, so that full-width-half-maximum could be used. Not only is this a very poor approximation for most terms, it is also completely unnecessary because standard deviations can be combined in quadrature for any shape distribution (except Lorentzian). The second flaw was the choice of variables that are not independent, so that significant correlations were ignored. An example of the effect of including correlations is that the mosaic spread of the analyzer crystals does not contribute to the resolution in first order. Monte Carlo simulation is not limited to first order, and we find a mild optimum value for mosaic spread. A complete set of six independent variables is: neutron emission time, incident flight-path variation (due to moderator tilt), sample thickness, mean path in the analyzer (due to multiple reflections), sample-to-detector radial distance, and detector thickness. We treat separately the resolution contributions from histogramming and rebinning during data acquisition and reduction, and describe a scheme for VISION that minimizes the effect on resolution. We compare the contributions of the six variables to the total resolution, both analytically and by Monte Carlo simulations of a complete VISION model using the Neutron Instrument Simulation Package (NISP).

[Lake eutrophication modeling in considering climatic factors change: a review].

Science.gov (United States)

Su, Jie-Qiong; Wang, Xuan; Yang, Zhi-Feng

2012-11-01

Climatic factors are considered as the key factors affecting the trophic status and its process in most lakes. Under the background of global climate change, to incorporate the variations of climatic factors into lake eutrophication models could provide solid technical support for the analysis of the trophic evolution trend of lake and the decision-making of lake environment management. This paper analyzed the effects of climatic factors such as air temperature, precipitation, sunlight, and atmosphere on lake eutrophication, and summarized the research results about the lake eutrophication modeling in considering in considering climatic factors change, including the modeling based on statistical analysis, ecological dynamic analysis, system analysis, and intelligent algorithm. The prospective approaches to improve the accuracy of lake eutrophication modeling with the consideration of climatic factors change were put forward, including 1) to strengthen the analysis of the mechanisms related to the effects of climatic factors change on lake trophic status, 2) to identify the appropriate simulation models to generate several scenarios under proper temporal and spatial scales and resolutions, and 3) to integrate the climatic factors change simulation, hydrodynamic model, ecological simulation, and intelligent algorithm into a general modeling system to achieve an accurate prediction of lake eutrophication under climatic change.

Analyzing the profit-loss sharing contracts with Markov model

Directory of Open Access Journals (Sweden)

Imam Wahyudi

2016-12-01

Full Text Available The purpose of this paper is to examine how to use first order Markov chain to build a reliable monitoring system for the profit-loss sharing based contracts (PLS as the mode of financing contracts in Islamic bank with censored continuous-time observations. The paper adopts the longitudinal analysis with the first order Markov chain framework. Laplace transform was used with homogenous continuous time assumption, from discretized generator matrix, to generate the transition matrix. Various metrics, i.e.: eigenvalue and eigenvector were used to test the first order Markov chain assumption. Cox semi parametric model was used also to analyze the momentum and waiting time effect as non-Markov behavior. The result shows that first order Markov chain is powerful as a monitoring tool for Islamic banks. We find that waiting time negatively affected present rating downgrade (upgrade significantly. Likewise, momentum covariate showed negative effect. Finally, the result confirms that different origin rating have different movement behavior. The paper explores the potential of Markov chain framework as a risk management tool for Islamic banks. It provides valuable insight and integrative model for banks to manage their borrower accounts. This model can be developed to be a powerful early warning system to identify which borrower needs to be monitored intensively. Ultimately, this model could potentially increase the efficiency, productivity and competitiveness of Islamic banks in Indonesia. The analysis used only rating data. Further study should be able to give additional information about the determinant factors of rating movement of the borrowers by incorporating various factors such as contract-related factors, bank-related factors, borrower-related factors and macroeconomic factors.

batman Interacts with polycomb and trithorax group genes and encodes a BTB/POZ protein that is included in a complex containing GAGA factor.

Science.gov (United States)

Faucheux, M; Roignant, J-Y; Netter, S; Charollais, J; Antoniewski, C; Théodore, L

2003-02-01

Polycomb and trithorax group genes maintain the appropriate repressed or activated state of homeotic gene expression throughout Drosophila melanogaster development. We have previously identified the batman gene as a Polycomb group candidate since its function is necessary for the repression of Sex combs reduced. However, our present genetic analysis indicates functions of batman in both activation and repression of homeotic genes. The 127-amino-acid Batman protein is almost reduced to a BTB/POZ domain, an evolutionary conserved protein-protein interaction domain found in a large protein family. We show that this domain is involved in the interaction between Batman and the DNA binding GAGA factor encoded by the Trithorax-like gene. The GAGA factor and Batman codistribute on polytene chromosomes, coimmunoprecipitate from nuclear embryonic and larval extracts, and interact in the yeast two-hybrid assay. Batman, together with the GAGA factor, binds to MHS-70, a 70-bp fragment of the bithoraxoid Polycomb response element. This binding, like that of the GAGA factor, requires the presence of d(GA)n sequences. Together, our results suggest that batman belongs to a subset of the Polycomb/trithorax group of genes that includes Trithorax-like, whose products are involved in both activation and repression of homeotic genes.

An Innovative Interactive Modeling Tool to Analyze Scenario-Based Physician Workforce Supply and Demand

Science.gov (United States)

Gupta, Saurabh; Black-Schaffer, W. Stephen; Crawford, James M.; Gross, David; Karcher, Donald S.; Kaufman, Jill; Knapman, Doug; Prystowsky, Michael B.; Wheeler, Thomas M.; Bean, Sarah; Kumar, Paramhans; Sharma, Raghav; Chamoli, Vaibhav; Ghai, Vikrant; Gogia, Vineet; Weintraub, Sally; Cohen, Michael B.

2015-01-01

Effective physician workforce management requires that the various organizations comprising the House of Medicine be able to assess their current and future workforce supply. This information has direct relevance to funding of graduate medical education. We describe a dynamic modeling tool that examines how individual factors and practice variables can be used to measure and forecast the supply and demand for existing and new physician services. The system we describe, while built to analyze the pathologist workforce, is sufficiently broad and robust for use in any medical specialty. Our design provides a computer-based software model populated with data from surveys and best estimates by specialty experts about current and new activities in the scope of practice. The model describes the steps needed and data required for analysis of supply and demand. Our modeling tool allows educators and policy makers, in addition to physician specialty organizations, to assess how various factors may affect demand (and supply) of current and emerging services. Examples of factors evaluated include types of professional services (3 categories with 16 subcategories), service locations, elements related to the Patient Protection and Affordable Care Act, new technologies, aging population, and changing roles in capitated, value-based, and team-based systems of care. The model also helps identify where physicians in a given specialty will likely need to assume new roles, develop new expertise, and become more efficient in practice to accommodate new value-based payment models. PMID:28725751

An Innovative Interactive Modeling Tool to Analyze Scenario-Based Physician Workforce Supply and Demand

Directory of Open Access Journals (Sweden)

Saurabh Gupta BPharm

2015-10-01

Full Text Available Effective physician workforce management requires that the various organizations comprising the House of Medicine be able to assess their current and future workforce supply. This information has direct relevance to funding of graduate medical education. We describe a dynamic modeling tool that examines how individual factors and practice variables can be used to measure and forecast the supply and demand for existing and new physician services. The system we describe, while built to analyze the pathologist workforce, is sufficiently broad and robust for use in any medical specialty. Our design provides a computer-based software model populated with data from surveys and best estimates by specialty experts about current and new activities in the scope of practice. The model describes the steps needed and data required for analysis of supply and demand. Our modeling tool allows educators and policy makers, in addition to physician specialty organizations, to assess how various factors may affect demand (and supply of current and emerging services. Examples of factors evaluated include types of professional services (3 categories with 16 subcategories, service locations, elements related to the Patient Protection and Affordable Care Act, new technologies, aging population, and changing roles in capitated, value-based, and team-based systems of care. The model also helps identify where physicians in a given specialty will likely need to assume new roles, develop new expertise, and become more efficient in practice to accommodate new value-based payment models.

An Innovative Interactive Modeling Tool to Analyze Scenario-Based Physician Workforce Supply and Demand.

Science.gov (United States)

Gupta, Saurabh; Black-Schaffer, W Stephen; Crawford, James M; Gross, David; Karcher, Donald S; Kaufman, Jill; Knapman, Doug; Prystowsky, Michael B; Wheeler, Thomas M; Bean, Sarah; Kumar, Paramhans; Sharma, Raghav; Chamoli, Vaibhav; Ghai, Vikrant; Gogia, Vineet; Weintraub, Sally; Cohen, Michael B; Robboy, Stanley J

2015-01-01

Effective physician workforce management requires that the various organizations comprising the House of Medicine be able to assess their current and future workforce supply. This information has direct relevance to funding of graduate medical education. We describe a dynamic modeling tool that examines how individual factors and practice variables can be used to measure and forecast the supply and demand for existing and new physician services. The system we describe, while built to analyze the pathologist workforce, is sufficiently broad and robust for use in any medical specialty. Our design provides a computer-based software model populated with data from surveys and best estimates by specialty experts about current and new activities in the scope of practice. The model describes the steps needed and data required for analysis of supply and demand. Our modeling tool allows educators and policy makers, in addition to physician specialty organizations, to assess how various factors may affect demand (and supply) of current and emerging services. Examples of factors evaluated include types of professional services (3 categories with 16 subcategories), service locations, elements related to the Patient Protection and Affordable Care Act, new technologies, aging population, and changing roles in capitated, value-based, and team-based systems of care. The model also helps identify where physicians in a given specialty will likely need to assume new roles, develop new expertise, and become more efficient in practice to accommodate new value-based payment models.

GRAY CNVUFAC, Black-Body Radiation View Factors with Self-Shadowing

International Nuclear Information System (INIS)

Wong, R.L.

1991-01-01

Description of program or function: CNVUFAC, the General Dynamics heat-transfer radiation view program, was adapted for use on the LLNL computer system. The input and output were modified, and a node incrementing logic added for compatibility with TRUMP (NESC 771) thermal analyzer and related codes. The program performs the multiple integration necessary to evaluate the geometric black-body radiation node to node view factors. CNVUFAC uses an elemental area summation scheme to evaluate the multiple integrals. The program permits shadowing and self-shadowing. The basic configuration shapes that can be considered are cylinders, cones, spheres, ellipsoids, flat plates, disks, toroids, and polynomials of revolution. Portions of these shapes can also be considered. Card-image output containing node number and view factor information is generated for input to GRAY, a related code. GRAY performs the matrix manipulations necessary to convert black-body radiation heat-transfer view factors to gray-body view factors as required by thermal analyzer codes. The black-body view factors contain only geometric relationships. GRAY allows the effects of multiple gray-body reflections to be included. The resulting effective gray-body view factors can then be used with the corresponding fourth-power temperature differences to obtain the net radiative heat flux. GRAY accepts a matrix input or the card-image output generated by CNVUFAC. The resulting card-image GRAY output is in a form usable by TRUMP

Life stories of people with rheumatoid arthritis who retired early: how gender and other contextual factors shaped their everyday activities, including paid work.

Science.gov (United States)

Stamm, T A; Machold, K P; Smolen, J; Prodinger, B

2010-06-01

The aim of the present study was to explore how contextual factors affect the everyday activities of women and men with rheumatoid arthritis (RA), as evident in their life stories. Fifteen people with RA, who had retired early due to the disease, were interviewed up to three times, according to a narrative biographic interview style. The life stories of the participants, which were reconstructed from the biographical data and from the transcribed 'told story' were analysed from the perspective of contextual factors, including personal and environmental factors. The rigour and accuracy of the analysis were enhanced by reflexivity and peer-review of the results. The life stories of the participants in this study reflected how contextual factors (such as gender, the healthcare system, the support of families and social and cultural values) shaped their everyday activities. In a society such as in Austria, which is based on traditional patriarchal values, men were presented with difficulties in developing a non-paid-work-related role. For women, if paid work had to be given up, they were more likely to engage in alternative challenging activities which enabled them to develop reflective skills, which in turn contributed to a positive and enriching perspective on their life stories. Health professionals may thus use some of the women's strategies to help men. Interventions by health professionals in people with RA may benefit from an approach sensitive to personal and environmental factors.

Design and Construction of an Autonomous Low-Cost Pulse Height Analyzer and a Single Channel Analyzer for Mössbauer Spectroscopy

Science.gov (United States)

Velásquez, A. A.; Gancedo, J. R.; Trujillo, J. M.; Morales, A. L.; Tobón, J. E.; Reyes, L.

2005-04-01

A multichannel analyzer (MCA) and a single channel-analyzer (SCA) for Mössbauer spectrometry application have been designed and built. Both systems include low-cost digital and analog components. A microcontroller manages, either in PHA or MCS mode, the data acquisition, data storage and setting of the pulse discriminator limits. The user can monitor the system from an external PC through the serial port with the RS232 communication protocol. A graphic interface made with the LabVIEW software allows the user to adjust digitally the lower and upper limits of the pulse discriminator, and to visualize as well as save the PHA spectra in a file. The system has been tested using a 57Co radioactive source and several iron compounds, yielding satisfactory results. The low cost of its design, construction and maintenance make this equipment an attractive choice when assembling a Mössbauer spectrometer.

Modelling of safety barriers including human and organisational factors to improve process safety

DEFF Research Database (Denmark)

Markert, Frank; Duijm, Nijs Jan; Thommesen, Jacob

2013-01-01

It is believed that traditional safety management needs to be improved on the aspect of preparedness for coping with expected and unexpected deviations, avoiding an overly optimistic reliance on safety systems. Remembering recent major accidents, such as the Deep Water Horizon, the Texas City....... A valuable approach is the inclusion of human and organisational factors into the simulation of the reliability of the technical system using event trees and fault trees and the concept of safety barriers. This has been demonstrated e.g. in the former European research project ARAMIS (Accidental Risk...

Nuclear power plant analyzer

International Nuclear Information System (INIS)

Stritar, A.

1986-01-01

The development of Nuclear Power Plant Analyzers in USA is described. There are two different types of Analyzers under development in USA, the forst in Idaho and Los Alamos national Lab, the second in brookhaven National lab. That one is described in detail. The computer hardware and the mathematical models of the reactor vessel thermalhydraulics are described. (author)

Development of a Tool for Measuring and Analyzing Computer User Satisfaction

OpenAIRE

James E. Bailey; Sammy W. Pearson

1983-01-01

This paper reports on a technique for measuring and analyzing computer user satisfaction. Starting with the literature and using the critical incident interview technique, 39 factors affecting satisfaction were identified. Adapting the semantic differential scaling technique, a questionnaire for measuring satisfaction was then created. Finally, the instrument was pilot tested to prove its validity and reliability. The results of this effort and suggested uses of the questionnaire are reported...

Dionex series 8000 on-line analyzer, Sequoyah Nuclear Power Plant. Final report

International Nuclear Information System (INIS)

1986-03-01

This project was initiated to develop a custom-designed online water analyzer (ion chromatograph) for secondary water chemistry control in TVA's nuclear plants. This water analyzer development was conducted pursuant to a cooperative research agreement with the Dionex Corporation. Dionex developed and installed a dual channel, six stream analyzer on the secondary side of TVA's Sequoyah Nuclear Plant. The analyzer was developed for real time detection of sodium, chloride, and sulfate in any of the six sampling streams. The analyzer is providing Sequoyah's plant personnel with reliable secondary water chemistry data in a much more timely manner than the past grab sampling techniques. Results on the performance of the analyzer show that it is performing above and beyond the expectations of plant personnel. Since its installation at Sequoyah, there have been 29 units ordered from Dionex including 1 unit for Sequoyah, 5 units for Browns Ferry, and 23 units for other utilities. In the future, the analyzer will allow plant staffs to take corrective action before corrosive conditions occur or before having to derate a unit

Analyzing and Comparing Biomass Feedstock Supply Systems in China: Corn Stover and Sweet Sorghum Case Studies

Directory of Open Access Journals (Sweden)

Lantian Ren

2015-06-01

Full Text Available This paper analyzes the rural Chinese biomass supply system and models supply chain operations according to U.S. concepts of logistical unit operations: harvest and collection, storage, transportation, preprocessing, and handling and queuing. In this paper, we quantify the logistics cost of corn stover and sweet sorghum in China under different scenarios. We analyze three scenarios of corn stover logistics from northeast China and three scenarios of sweet sorghum stalks logistics from Inner Mongolia in China. The case study estimates that the logistics cost of corn stover and sweet sorghum stalk to be $52.95/dry metric ton and $52.64/dry metric ton, respectively, for the current labor-based biomass logistics system. However, if the feedstock logistics operation is mechanized, the cost of corn stover and sweet sorghum stalk decreases to $36.01/dry metric ton and $35.76/dry metric ton, respectively. The study also includes a sensitivity analysis to identify the cost factors that cause logistics cost variation. Results of the sensitivity analysis show that labor price has the most influence on the logistics cost of corn stover and sweet sorghum stalk, with a variation of $6 to $12/dry metric ton.

A Computer Model for Analyzing Volatile Removal Assembly

Science.gov (United States)

Guo, Boyun

2010-01-01

A computer model simulates reactional gas/liquid two-phase flow processes in porous media. A typical process is the oxygen/wastewater flow in the Volatile Removal Assembly (VRA) in the Closed Environment Life Support System (CELSS) installed in the International Space Station (ISS). The volatile organics in the wastewater are combusted by oxygen gas to form clean water and carbon dioxide, which is solved in the water phase. The model predicts the oxygen gas concentration profile in the reactor, which is an indicator of reactor performance. In this innovation, a mathematical model is included in the computer model for calculating the mass transfer from the gas phase to the liquid phase. The amount of mass transfer depends on several factors, including gas-phase concentration, distribution, and reaction rate. For a given reactor dimension, these factors depend on pressure and temperature in the reactor and composition and flow rate of the influent.

Analyzing the multilevel structure of the European airport network

Directory of Open Access Journals (Sweden)

Oriol Lordan

2017-04-01

Full Text Available The multilayered structure of the European airport network (EAN, composed of connections and flights between European cities, is analyzed through the k-core decomposition of the connections network. This decomposition allows to identify the core, bridge and periphery layers of the EAN. The core layer includes the best-connected cities, which include important business air traffic destinations. The periphery layer includes cities with lesser connections, which serve low populated areas where air travel is an economic alternative. The remaining cities form the bridge of the EAN, including important leisure travel origins and destinations. The multilayered structure of the EAN affects network robustness, as the EAN is more robust to isolation of nodes of the core, than to the isolation of a combination of core and bridge nodes.

Dimensions of assertiveness: factors underlying the college self-expression scale.

Science.gov (United States)

Kipper, D A; Jaffe, Y

1978-02-01

A total of 447 Israeli students, both males and females, from four educational institutions were administered the College Self-expression Scale, a measure of assertiveness. The obtained responses were factor analyzed using the principal axis solution and the varimax rotation method. The results showed four main factors which included 43 of the 50 items of the original scale. These factors were identified as the willingness to take risks in interpersonal interactions, the ability to communicate feelings, setting rules and rectifying injustices, and the presence or absence of a tendency to invoke a self-punitive attitude. The findings were interpreted as adding support to the validity of the scale as a measure of assertiveness.

Analyzing Multiple-Choice Questions by Model Analysis and Item Response Curves

Science.gov (United States)

Wattanakasiwich, P.; Ananta, S.

2010-07-01

In physics education research, the main goal is to improve physics teaching so that most students understand physics conceptually and be able to apply concepts in solving problems. Therefore many multiple-choice instruments were developed to probe students' conceptual understanding in various topics. Two techniques including model analysis and item response curves were used to analyze students' responses from Force and Motion Conceptual Evaluation (FMCE). For this study FMCE data from more than 1000 students at Chiang Mai University were collected over the past three years. With model analysis, we can obtain students' alternative knowledge and the probabilities for students to use such knowledge in a range of equivalent contexts. The model analysis consists of two algorithms—concentration factor and model estimation. This paper only presents results from using the model estimation algorithm to obtain a model plot. The plot helps to identify a class model state whether it is in the misconception region or not. Item response curve (IRC) derived from item response theory is a plot between percentages of students selecting a particular choice versus their total score. Pros and cons of both techniques are compared and discussed.

Static and dynamic characteristics of an ethyl alcohol analyzer in a fermentation medium

Energy Technology Data Exchange (ETDEWEB)

Kadlec, K

1980-01-01

An analyzer for the indirect determination of EtOH in fermentation media is described, with particular reference to its static and dynamic characteristics, the effect of different variables and factors on accuracy, and the influence of sensor postioning on readings. General theoretical relations are derived and exemplified by actual laboratory application.

Psychosocial Risk Factors and the Association With Carpal Tunnel Syndrome: A Systematic Review.

Science.gov (United States)

Mansfield, Michael; Thacker, Michael; Sandford, Fiona

2017-10-01

Carpal tunnel syndrome (CTS) is the most common entrapment neuropathy of the upper limb. Research has shown that associative factors for CTS include occupational and biomechanical elements, gender, and age. To date, no systematic review has been undertaken to determine specifically whether there are any psychosocial risk factors in developing CTS. The objective is to determine whether psychosocial factors are associated with and/or predict the development of CTS. A systematic review was conducted including searches of PubMed (MEDLINE), EMBASE, and CINAHL from inception to May 30, 2017. Quantitative studies must have investigated a minimum of 1 or more psychosocial factors-cognitive, affective, behavioral, vocational, or interpersonal processes (eg, social support)-and include a point or risk estimate. One reviewer conducted the search and 2 reviewers independently assessed eligibility and completed methodological quality assessment using a modified Downs and Black checklist. Data were analyzed narratively. Six moderate- to high-quality studies were included in the final review. Five studies reported a positive association between psychosocial factors and CTS, where psychosocial factors were more in those who reported CTS. One study reported no positive or negative association with CTS development. Four studies reported a negative association between psychosocial factors and CTS, where psychosocial factors were less in those who reported CTS. There is limited evidence for a positive association between psychosocial factors and CTS. However, this was not a consistent finding across all included studies. Further research is indicated in standardizing CTS diagnostic criteria and investigating other working environments.

Analyzing the soybean transcriptome during autoregulation of mycorrhization identifies the transcription factors GmNF-YA1a/b as positive regulators of arbuscular mycorrhization.

Science.gov (United States)

Schaarschmidt, Sara; Gresshoff, Peter M; Hause, Bettina

2013-06-18

Similarly to the legume-rhizobia symbiosis, the arbuscular mycorrhiza interaction is controlled by autoregulation representing a feedback inhibition involving the CLAVATA1-like receptor kinase NARK in shoots. However, little is known about signals and targets down-stream of NARK. To find NARK-related transcriptional changes in mycorrhizal soybean (Glycine max) plants, we analyzed wild-type and two nark mutant lines interacting with the arbuscular mycorrhiza fungus Rhizophagus irregularis. Affymetrix GeneChip analysis of non-inoculated and partially inoculated plants in a split-root system identified genes with potential regulation by arbuscular mycorrhiza or NARK. Most transcriptional changes occur locally during arbuscular mycorrhiza symbiosis and independently of NARK. RT-qPCR analysis verified nine genes as NARK-dependently regulated. Most of them have lower expression in roots or shoots of wild type compared to nark mutants, including genes encoding the receptor kinase GmSIK1, proteins with putative function as ornithine acetyl transferase, and a DEAD box RNA helicase. A predicted annexin named GmAnnx1a is differentially regulated by NARK and arbuscular mycorrhiza in distinct plant organs. Two putative CCAAT-binding transcription factor genes named GmNF-YA1a and GmNF-YA1b are down-regulated NARK-dependently in non-infected roots of mycorrhizal wild-type plants and functional gene analysis confirmed a positive role for these genes in the development of an arbuscular mycorrhiza symbiosis. Our results indicate GmNF-YA1a/b as positive regulators in arbuscular mycorrhiza establishment, whose expression is down-regulated by NARK in the autoregulated root tissue thereby diminishing subsequent infections. Genes regulated independently of arbuscular mycorrhization by NARK support an additional function of NARK in symbioses-independent mechanisms.

Analyzing recommender systems for health promotion using a multidisciplinary taxonomy: A scoping review.

Science.gov (United States)

Hors-Fraile, Santiago; Rivera-Romero, Octavio; Schneider, Francine; Fernandez-Luque, Luis; Luna-Perejon, Francisco; Civit-Balcells, Anton; de Vries, Hein

2018-06-01

Recommender systems are information retrieval systems that provide users with relevant items (e.g., through messages). Despite their extensive use in the e-commerce and leisure domains, their application in healthcare is still in its infancy. These systems may be used to create tailored health interventions, thus reducing the cost of healthcare and fostering a healthier lifestyle in the population. This paper identifies, categorizes, and analyzes the existing knowledge in terms of the literature published over the past 10 years on the use of health recommender systems for patient interventions. The aim of this study is to understand the scientific evidence generated about health recommender systems, to identify any gaps in this field to achieve the United Nations Sustainable Development Goal 3 (SDG3) (namely, "Ensure healthy lives and promote well-being for all at all ages"), and to suggest possible reasons for these gaps as well as to propose some solutions. We conducted a scoping review, which consisted of a keyword search of the literature related to health recommender systems for patients in the following databases: ScienceDirect, PsycInfo, Association for Computing Machinery, IEEExplore, and Pubmed. Further, we limited our search to consider only English-language journal articles published in the last 10 years. The reviewing process comprised three researchers who filtered the results simultaneously. The quantitative synthesis was conducted in parallel by two researchers, who classified each paper in terms of four aspects-the domain, the methodological and procedural aspects, the health promotion theoretical factors and behavior change theories, and the technical aspects-using a new multidisciplinary taxonomy. Nineteen papers met the inclusion criteria and were included in the data analysis, for which thirty-three features were assessed. The nine features associated with the health promotion theoretical factors and behavior change theories were not observed in

A 5-year audit of cataract surgery outcomes after posterior capsule rupture and risk factors affecting visual acuity.

Science.gov (United States)

Ti, Seng-Ei; Yang, You-Nian; Lang, Stephanie S; Chee, Soon Phaik

2014-01-01

To describe the posterior capsule rupture rates and visual outcomes after phacoemulsification, analyze risk factors for poor vision, and compare results of faculty (F) and residents (R). Retrospective audit study. Visual success of all capsule ruptures (2006-2010) was analyzed and compared to uneventful cases. Rupture rates of faculty and residents were compared (χ², P risk factors were identified using multivariate logistic regression analysis. From 2006 to 2010, there were 887 capsule ruptures in 48 377 phacoemulsification cases (rate 1.8%). Uneventful cases had significantly better visual outcomes than capsule ruptures (98.5% vs 93.9%; P .05). Ruptures most frequently occurred during phacoemulsification (59.6%) and irrigation and aspiration (24.8%) stages. Risk factors for poor outcomes included age >65 years, dropped nuclei, and other complications. The overall capsule rupture rate was 1.8%. Although residents had higher rates, visual success matched faculty's, possibly attributable to case mix and close supervision. Associated risk factors for poor vision included age >65 years, dropped nuclei, and postoperative retinal, corneal, and IOL complications. Copyright © 2014 Elsevier Inc. All rights reserved.

Analyzing Virtual Physics Simulations with Tracker

Science.gov (United States)

Claessens, Tom

2017-12-01

In the physics teaching community, Tracker is well known as a user-friendly open source video analysis software, authored by Douglas Brown. With this tool, the user can trace markers indicated on a video or on stroboscopic photos and perform kinematic analyses. Tracker also includes a data modeling tool that allows one to fit some theoretical equations of motion onto experimentally obtained data. In the field of particle mechanics, Tracker has been effectively used for learning and teaching about projectile motion, "toss up" and free-fall vertical motion, and to explain the principle of mechanical energy conservation. Also, Tracker has been successfully used in rigid body mechanics to interpret the results of experiments with rolling/slipping cylinders and moving rods. In this work, I propose an original method in which Tracker is used to analyze virtual computer simulations created with a physics-based motion solver, instead of analyzing video recording or stroboscopic photos. This could be an interesting approach to study kinematics and dynamics problems in physics education, in particular when there is no or limited access to physical labs. I demonstrate the working method with a typical (but quite challenging) problem in classical mechanics: a slipping/rolling cylinder on a rough surface.

Food Insecurity in U.S. Households That Include Children with Disabilities

Science.gov (United States)

Sonik, Rajan; Parish, Susan L.; Ghosh, Subharati; Igdalsky, Leah

2016-01-01

The authors examined food insecurity in households including children with disabilities, analyzing data from the 2004 and 2008 panels of the Survey of Income and Program Participation, which included 24,729 households with children, 3,948 of which had children with disabilities. Logistic regression models were used to estimate the likelihood of…

Modeling and Analyzing the Slipping of the Ball Screw

Directory of Open Access Journals (Sweden)

Nannan Xu

Full Text Available AbstractThis paper aims to set up the ball systematic slipping model and analyze the slipping characteristics caused by different factors for a ball screw operating at high speeds. To investigate the ball screw slipping mechanism, transformed coordinate system should be established firstly. Then it is used to set up mathematical modeling for the ball slipping caused by the three main reasons and the speed of slipping can be calculated. Later, the influence of the contact angle, helix angle and screw diameter for ball screw slipping will be analyzed according to the ball slipping model and slipping speeds equation and the slipping analysis will be obtained. Finally, curve of slipping analysis and that of mechanical efficiency of the ball screw analysis by Lin are compared, which will indirectly verify the correctness of the slipping model. The slipping model and the curve of slipping analysis established in this paper will provide theory basis for reducing slipping and improving the mechanical efficiency of a ball screw operating at high speeds.

Two-dimensional analysis of motion artifacts, including flow effects

International Nuclear Information System (INIS)

Litt, A.M.; Brody, A.S.; Spangler, R.A.; Scott, P.D.

1990-01-01

The effects of motion on magnetic resonance images have been theoretically analyzed for the case of a point-like object in simple harmonic motion and for other one-dimensional trajectories. The authors of this paper extend this analysis to a generalized two-dimensional magnetization with an arbitrary motion trajectory. The authors provide specific solutions for the clinically relevant cases of the cross-sections of cylindrical objects in the body, such as the aorta, which has a roughly one-dimensional, simple harmonic motion during respiration. By extending the solution to include inhomogeneous magnetizations, the authors present a model which allows the effects of motion artifacts and flow artifacts to be analyzed simultaneously

The effect of economic factors and energy efficiency programs on residential electricity consumption

Science.gov (United States)

Sakai, Mihoko

Many countries have implemented policies to correct market and behavioral failures that lead to inefficient energy use. It is important to know what factors and policies can effectively overcome such failures and improve energy efficiency; however, a comprehensive analysis has been difficult because of data limitations. Using state scores compiled by American organizations recently, and adopting fixed-effects regression models, I analyze the joint impacts of relevant factors and policy programs on residential electricity consumption in each U.S. state. The empirical results reveal that increases in electricity price have small and negative effects, and increases in personal income have positive effects on residential electricity sales per capita (a measure of energy efficiency). The results suggest that it may take time for economic factors to affect electricity sales. The effects of personal income suggest the difficulty of controlling residential electricity consumption; however, they also imply that there is some room in households to reduce electricity use. The study also finds that programs and budgets of several policies seem to be associated with electricity sales. The estimates from a model including interaction terms suggest the importance of including multiple policies when analyzing and designing policies to address electricity efficiency. The results also imply the possibility of rebound effects of some policies, whereby improvements in energy efficiency lead to increases in energy consumption due to the associated lower per unit cost. Future studies should analyze both short-term and long-term effects of economic factors and policies, based on improved and accumulated time series and panel data, in order to design more effective policies for improving residential electricity efficiency.

PM 3655 PHILIPS Logic analyzer

CERN Multimedia

A logic analyzer is an electronic instrument that captures and displays multiple signals from a digital system or digital circuit. A logic analyzer may convert the captured data into timing diagrams, protocol decodes, state machine traces, assembly language, or may correlate assembly with source-level software. Logic Analyzers have advanced triggering capabilities, and are useful when a user needs to see the timing relationships between many signals in a digital system.

New ultra small battery operated portable multi-channel analyzer

International Nuclear Information System (INIS)

Wolf, M.A.; Umbarger, C.J.

1979-01-01

A newly designed portable multi-channel analyzer (MCA) has been developd at Los Alamos that has much improved physical and performance characteristics over previous designs. Namely, the instrument is very compact (25 cm wide x 14 cm deep x 21 cm high) and has a mass of 4.2 Kg (9.2 lb). The device has 1024 channels and is microprocessor controlled. The instrument has most of the standard features of present laboratory-based pulse height analyzers, including CRT display, region of interest integration, etc. Battery life of the MCA is nearly eight hours, with full charging over night. An accessory case carries a small audio cassette recorder for data storage. The case also contains two different NaI(Tl) detectors

Risk Factors for Suicide Ideation Among Adolescents: Five-Year National Data Analysis.

Science.gov (United States)

Im, Yeojin; Oh, Won-Oak; Suk, Minhyun

2017-06-01

This study identified risk factors for suicide ideation among adolescents through a secondary analysis using data collected over five years from the 5th-9th Korea Youth Risk Behavior Survey. We analyzed 370,568 students' responses to questions about suicidality. The risk factors for suicide ideation included demographic characteristics, such as gender (girls), low grades, low economic status, and not living with one or both parents. Behavioral and mental health risk factors affecting suicide ideation were depression, low sleep satisfaction, high stress, alcohol consumption, smoking, and sexual activity. Health care providers should particularly target adolescents manifesting the above risk factors when developing suicide prevention programs for them. Copyright © 2017 Elsevier Inc. All rights reserved.

Radiometric analyzer with plural radiation sources and detectors

International Nuclear Information System (INIS)

Arima, S.; Oda, M.; Miyashita, K.; Takada, M.

1977-01-01

A radiometric analyzer for measuring characteristics of a material by radiation comprises a plurality of systems in which each consists of a radiation source and a radiation detector which are the same in number as the number of elements of the molecule of the material and a linear calibration circuit having inverse response characteristics (calibration curve) of the respective systems of detectors, whereby the measurement is carried out by four fundamental rules by operation of the mutual outputs of said detector system obtained through said linear calibration circuit. One typical embodiment is a radiometric analyzer for hydrocarbons which measures the density of heavy oil, the sulfur content and the calorific value by three detector systems which include a γ-ray source (E/sub γ/ greater than 50 keV), a soft x-ray source (Ex approximately 20 keV), and a neutron ray source. 2 claims, 6 figures

Exclusion Factors in Latin American Higher Education: A Preliminary Analyze From University Governing Board Perspective

Science.gov (United States)

Castro, Diego; Rodríguez-Gómez, David; Gairín, Joaquín

2017-01-01

Access to higher education has increased substantially in Latin America, but inequalities in access to and completion of higher education still remain. In this regard, identifying vulnerable groups and exclusion factors is a priority in Latin America's university systems. The aim of this article is to understand in depth governing board…

De-novo discovery of differentially abundant transcription factor binding sites including their positional preference.

Science.gov (United States)

Keilwagen, Jens; Grau, Jan; Paponov, Ivan A; Posch, Stefan; Strickert, Marc; Grosse, Ivo

2011-02-10

Transcription factors are a main component of gene regulation as they activate or repress gene expression by binding to specific binding sites in promoters. The de-novo discovery of transcription factor binding sites in target regions obtained by wet-lab experiments is a challenging problem in computational biology, which has not been fully solved yet. Here, we present a de-novo motif discovery tool called Dispom for finding differentially abundant transcription factor binding sites that models existing positional preferences of binding sites and adjusts the length of the motif in the learning process. Evaluating Dispom, we find that its prediction performance is superior to existing tools for de-novo motif discovery for 18 benchmark data sets with planted binding sites, and for a metazoan compendium based on experimental data from micro-array, ChIP-chip, ChIP-DSL, and DamID as well as Gene Ontology data. Finally, we apply Dispom to find binding sites differentially abundant in promoters of auxin-responsive genes extracted from Arabidopsis thaliana microarray data, and we find a motif that can be interpreted as a refined auxin responsive element predominately positioned in the 250-bp region upstream of the transcription start site. Using an independent data set of auxin-responsive genes, we find in genome-wide predictions that the refined motif is more specific for auxin-responsive genes than the canonical auxin-responsive element. In general, Dispom can be used to find differentially abundant motifs in sequences of any origin. However, the positional distribution learned by Dispom is especially beneficial if all sequences are aligned to some anchor point like the transcription start site in case of promoter sequences. We demonstrate that the combination of searching for differentially abundant motifs and inferring a position distribution from the data is beneficial for de-novo motif discovery. Hence, we make the tool freely available as a component of the open

Education in the family as a factor of pedagogical correction of legal consciousness in juvenile probation and parole, including registered in criminal-executive inspection

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Gud M. B.

2017-12-01

Full Text Available The article discusses the concept of "legal consciousness of minors", the peculiarities of its formation in adolescence, and a pedagogical process of correction of legal consciousness adolescents in conditions of serving criminal sentences, when registration with the penal inspection. Analyzes one of the factors of correction of legal consciousness – raising in the family of convicted minors consisting on the account in the criminal-Executive inspection. The specifics of family upbringing and their impact on the efficiency of re-socialization of minors consisting on the account in criminally-executive inspection, as well as reducing recidivism. Examples of departmental statistics on the role of the family in preventing delinquency and crime among convicted adolescents. The basic directions of improvement of family education in the framework of the activities of employees of criminally-executive inspections.

Analyzing injury severity factors at highway railway grade crossing accidents involving vulnerable road users: A comparative study.

Science.gov (United States)

Ghomi, Haniyeh; Bagheri, Morteza; Fu, Liping; Miranda-Moreno, Luis F

2016-11-16

The main objective of this study is to identify the main factors associated with injury severity of vulnerable road users (VRUs) involved in accidents at highway railroad grade crossings (HRGCs) using data mining techniques. This article applies an ordered probit model, association rules, and classification and regression tree (CART) algorithms to the U.S. Federal Railroad Administration's (FRA) HRGC accident database for the period 2007-2013 to identify VRU injury severity factors at HRGCs. The results show that train speed is a key factor influencing injury severity. Further analysis illustrated that the presence of illumination does not reduce the severity of accidents for high-speed trains. In addition, there is a greater propensity toward fatal accidents for elderly road users compared to younger individuals. Interestingly, at night, injury accidents involving female road users are more severe compared to those involving males. The ordered probit model was the primary technique, and CART and association rules act as the supporter and identifier of interactions between variables. All 3 algorithms' results consistently show that the most influential accident factors are train speed, VRU age, and gender. The findings of this research could be applied for identifying high-risk hotspots and developing cost-effective countermeasures targeting VRUs at HRGCs.

Electric field studies of a 2 MeV electrostatic energy analyzer

International Nuclear Information System (INIS)

McLaren, P.E.; Connor, K.A.; Lewis, J.F.; Hickok, R.L.; Crowley, T.P.; Schatz, J.G.; Vilardi, G.H.

1990-01-01

An energy analyzer based on the Proca and Green parallel-plate design is being developed for use with the 2 MeV heavy ion beam probe on TEXT. In a departure from the conventional configuration, guard ring electrodes will not be used. Instead, a shaped top plate will provide for comparable, or improved, uniformity of the analyzer electric field region. To quantify this effect, and to characterize the electrostatic field, numerical solution methods have been utilized. Simulations have included effects of top plate shape, wire screens, vacuum chamber design, and dielectric support structures. The modeling has permitted us to design an analyzer electrode structure that is an integral part of a uniquely shaped vacuum vessel. The design electric field is 20 kV/cm with less than 1% error in uniformity within the parallel plate region. To examine the electric field structure experimentally, a quarter-scale prototype analyzer has been constructed and tested. The electric field characteristics are examined by varying the path of a heavy ion beam through the analyzer and examining the resulting analyzer performance. A simulated vacuum wall can be positioned to examine the effects of different vessel configurations and to determine the sensitivity of the analyzer to this boundary condition. The experimental results show excellent agreement with the numerically predicted fields and confirm the validity of the shaped top plate electrode concept

AACSD: An atomistic analyzer for crystal structure and defects

Science.gov (United States)

Liu, Z. R.; Zhang, R. F.

2018-01-01

We have developed an efficient command-line program named AACSD (Atomistic Analyzer for Crystal Structure and Defects) for the post-analysis of atomic configurations generated by various atomistic simulation codes. The program has implemented not only the traditional filter methods like the excess potential energy (EPE), the centrosymmetry parameter (CSP), the common neighbor analysis (CNA), the common neighborhood parameter (CNP), the bond angle analysis (BAA), and the neighbor distance analysis (NDA), but also the newly developed ones including the modified centrosymmetry parameter (m-CSP), the orientation imaging map (OIM) and the local crystallographic orientation (LCO). The newly proposed OIM and LCO methods have been extended for all three crystal structures including face centered cubic, body centered cubic and hexagonal close packed. More specially, AACSD can be easily used for the atomistic analysis of metallic nanocomposite with each phase to be analyzed independently, which provides a unique pathway to capture their dynamic evolution of various defects on the fly. In this paper, we provide not only a throughout overview on various theoretical methods and their implementation into AACSD program, but some critical evaluations, specific testing and applications, demonstrating the capability of the program on each functionality.

Modeling and Analyzing Academic Researcher Behavior

Directory of Open Access Journals (Sweden)

Phuc Huu Nguyen

2016-12-01

Full Text Available Abstract. This paper suggests a theoretical framework for analyzing the mechanism of the behavior of academic researchers whose interests are tangled and vary widely in academic factors (the intrinsic satisfaction in conducting research, the improvement in individual research ability, etc. or non-academic factors (career rewards, financial rewards, etc.. Furthermore, each researcher also has his/her different academic stances in their preferences about academic freedom and academic entrepreneurship. Understanding the behavior of academic researchers will contribute to nurture young researchers, to improve the standard of research and education as well as to boost collaboration in academia-industry. In particular, as open innovation is increasingly in need of the involvement of university researchers, to establish a successful approach to entice researchers into enterprises’ research, companies must comprehend the behavior of university researchers who have multiple complex motivations. The paper explores academic researchers' behaviors through optimizing their utility functions, i.e. the satisfaction obtained by their research outputs. This paper characterizes these outputs as the results of researchers' 3C: Competence (the ability to implement the research, Commitment (the effort to do the research, and Contribution (finding meaning in the research. Most of the previous research utilized the empirical methods to study researcher's motivation. Without adopting economic theory into the analysis, the past literature could not offer a deeper understanding of researcher's behavior. Our contribution is important both conceptually and practically because it provides the first theoretical framework to study the mechanism of researcher's behavior. Keywords: Academia-Industry, researcher behavior, ulrich model’s 3C.

Probability model for analyzing fire management alternatives: theory and structure

Science.gov (United States)

Frederick W. Bratten

1982-01-01

A theoretical probability model has been developed for analyzing program alternatives in fire management. It includes submodels or modules for predicting probabilities of fire behavior, fire occurrence, fire suppression, effects of fire on land resources, and financial effects of fire. Generalized "fire management situations" are used to represent actual fire...

Factors affecting polyamide prototypes design of Albedo dosemeters

International Nuclear Information System (INIS)

Martins, M.M.; Mauricio, C.L.P.; Fonseca, E.S.

1996-01-01

This work studies the most important factors which affect the response of albedo neutron dosemeters containing LiF TLDs with the aim to improve their sensitivity. It includes tests of thickness and shape of the polyamide moderator body prototypes, albedo window diameter and TLD position inside the moderator. Analyzing the results, an albedo neutron dosemeter prototype, B 4 C covered, was developed. The prototype has a response three times higher than the albedo dosemeter now in use in Brazil. (author)

Digital Multi Channel Analyzer Enhancement

International Nuclear Information System (INIS)

Gonen, E.; Marcus, E.; Wengrowicz, U.; Beck, A.; Nir, J.; Sheinfeld, M.; Broide, A.; Tirosh, D.

2002-01-01

A cement analyzing system based on radiation spectroscopy had been developed [1], using novel digital approach for real-time, high-throughput and low-cost Multi Channel Analyzer. The performance of the developed system had a severe problem: the resulted spectrum suffered from lack of smoothness, it was very noisy and full of spikes and surges, therefore it was impossible to use this spectrum for analyzing the cement substance. This paper describes the work carried out to improve the system performance

Induced Systemic Tolerance to Multiple Stresses Including Biotic and Abiotic Factors by Rhizobacteria

Directory of Open Access Journals (Sweden)

Sung-Je Yoo

2017-06-01

Full Text Available Recently, global warming and drastic climate change are the greatest threat to the world. The climate change can affect plant productivity by reducing plant adaptation to diverse environments including frequent high temperature; worsen drought condition and increased pathogen transmission and infection. Plants have to survive in this condition with a variety of biotic (pathogen/pest attack and abiotic stress (salt, high/low temperature, drought. Plants can interact with beneficial microbes including plant growth-promoting rhizobacteria, which help plant mitigate biotic and abiotic stress. This overview presents that rhizobacteria plays an important role in induced systemic resistance (ISR to biotic stress or induced systemic tolerance (IST to abiotic stress condition; bacterial determinants related to ISR and/or IST. In addition, we describe effects of rhizobacteria on defense/tolerance related signal pathway in plants. We also review recent information including plant resistance or tolerance against multiple stresses (bioticabiotic. We desire that this review contribute to expand understanding and knowledge on the microbial application in a constantly varying agroecosystem, and suggest beneficial microbes as one of alternative environment-friendly application to alleviate multiple stresses.

Sociocultural factors associated with breast self-examination among Iranian women.

Directory of Open Access Journals (Sweden)

Seyed Abolhasan Naghibi

2015-01-01

Full Text Available Of the ways to fight breast cancer and reduce deaths hazard due to early detection is one of early detection programs in women's breast self- examination. Examining breast by oneself increase individuals knowledge of her breast health that helps in detecting breast cancer early. Different cultural, social, family and individual factors play roles in women's behavior about breast self- examination applying PEN-3 model in this study is to analyze factors influencing on breast self-examination. The research is a descriptive- analytical, cross-sectional type. Research community consists of women at fertility age of 20-49 in sari. Sample volume is 415 individuals and sampling method is cluster method. In this study, a 50-item questionnaire based on PEN-3 was used. Questions were answered by Likert scoring method. Questionnaire was gathered by personal presence of questioners. Data was analyzed via descriptive statistics and logistic regression methods. Based on the study findings, the most significant positive behaviors related to perceptual factors included effectiveness of disease background in family and relatives (73%, believing in breast self- examination for pursuing health (93% and the most important negative behaviors were shyness and modesty (83.9% and increased worry (78.9%. The most remarkable positive behaviors regarding enabling factors covered the skill to do breast examination oneself (35.2%, the availability of health and therapeutic centers (80.7% and the most significant negative behavior was being busy and lack of time (85.3%. The most important positive behavior about nurturing factors included family consent (68.9% and the most significant negative one was the inappropriate treatment of health and therapeutic personnel (61.8%. In this study, there is a meaningful difference between employment ages, education with PEN-3 model constituents. Since behaviors due to enabling and nurturing perceptual factors have been important in

Risk factors for proximal migration of biliary tube stents.

Science.gov (United States)

Kawaguchi, Yoshiaki; Ogawa, Masami; Kawashima, Yohei; Mizukami, Hajime; Maruno, Atsuko; Ito, Hiroyuki; Mine, Tetsuya

2014-02-07

To analyze the risk factors for biliary stent migration in patients with benign and malignant strictures. Endoscopic stent placement was performed in 396 patients with bile duct stenosis, at our institution, between June 2003 and March 2009. The indications for bile duct stent implantation included common bile duct stone in 190 patients, malignant lesions in 112, chronic pancreatitis in 62, autoimmune pancreatitis in 14, trauma in eight, surgical complications in six, and primary sclerosing cholangitis (PSC) in four. We retrospectively examined the frequency of stent migration, and analyzed the patient factors (disease, whether endoscopic sphincterotomy was performed, location of bile duct stenosis and diameter of the bile duct) and stent characteristics (duration of stent placement, stent type, diameter and length). Moreover, we investigated retrieval methods for migrated stents and their associated success rates. The frequency of tube stent migration in the total patient population was 3.5%. The cases in which tube stent migration occurred included those with common bile duct stones (3/190; 1.6%), malignant lesions (2/112; 1.8%), chronic pancreatitis (4/62; 6.5%), autoimmune pancreatitis (2/14; 14.3%), trauma (1/8; 12.5%), surgical complications (2/6; 33.3%), and PSC (0/4; 0%). The potential risk factors for migration included bile duct stenosis secondary to benign disease such as chronic pancreatitis and autoimmune pancreatitis (P = 0.030); stenosis of the lower bile duct (P = 0.031); bile duct diameter > 10 mm (P = 0.023); duration of stent placement > 1 mo (P = 0.007); use of straight-type stents (P stents (P stents was successful in all cases. The grasping technique, using a basket or snare, was effective for pig-tailed or thin and straight stents, whereas the guidewire cannulation technique was effective for thick and straight stents. Migration of tube stents within the bile duct is rare but possible, and it is important to determine the risk factors

Development of a Multichannel Analyzer for modular ADCs

International Nuclear Information System (INIS)

Bannos Rodriguez, U.; Diaz Castro, M.; Rivero Ramirez, D.

2013-01-01

This paper describes the design and construction of a multichannel analyzer with USB interface from ADC module of the Fast ComTec 7074. One PIC18F4550 microprocessor from Microchip, one CPLD isPLSI 1032E from Lattice and one 32Kx8 SRAM memory were used. It also includes details of the programming circuitry and development of program acquisition, storage and display of the spectra using the Qt libraries. Finally, preliminary tests to the device are show. (Author)

Theoretical difference between impact factor and influence factor

Directory of Open Access Journals (Sweden)

Đilda Pečarić

2010-06-01

Full Text Available Bibliometric constructions of "knowledge maps" and "cognitive structures of science" do not differentiate between impact and influence factors. The difference can be constructedaccording to different meaning and interpretation of the terms reference and citation. Reference is "acknowledgment which one author gives to another", whereas citation is "acknowledgment which one document receives from another". Development of Information Science according to period and subject area is analyzed on the corpus of citation literature retrieved from doctoral dissertations in Information Science from 1978 to 2007 at Croatian universities. The research aim is to indicate the difference between document impact factor and author's influence factor (i.e. reference ability to produce effects on actions, behavior, and opinions of authors of doctoral theses. The influence factor serves to distinguish the key role of cited authors in time and according to the duration of the influence (the average age for cited papers of dominant authors in different periods is between eight and ten years. The difference between linear and interactive communication seems vital for the interpretation of cited half-life, i.e. the attitude of one science community towards used information resources and cognitive heritage. The analyzed corpus of 22,210 citations can be divided into three communication phases according to influence factor criteria: in the phase of dialogue and interactive communication 25% of bibliographic units are cited in the first four years; in the second phase another 25% of units are cited from the fifth to the ninth year; after ten years, in the dominant linear communication phase, approximately 30% of units are cited.

Agreement of serum potassium measured by blood gas and biochemistry analyzer in patients with moderate to severe hyperkalemia.

Science.gov (United States)

Acikgoz, Seyyid Bilal; Genc, Ahmet Bilal; Sipahi, Savas; Yildirim, Mehmet; Cinemre, Behice; Tamer, Ali; Solak, Yalcin

2016-05-01

Several studies investigated the agreement between central laboratory biochemistry analyzers and blood gas analyzers for potassium measurements. However, data are scarce when the potassium level is moderate to severely high. We aimed to evaluate the agreement between central laboratory biochemistry analyzers and blood gas analyzer in terms of serum potassium level measurement because differences in potassium at this level translate into very different clinical actions. This was a retrospective medical record review study in which patients who presented to the emergency department and had serum potassium levels ≥6mmol/L were included. Patients who did not have simultaneous potassium measurement by blood gas analyzer were excluded. We included all patients meeting potassium criteria irrespective of their underlying disease or comorbidities. We evaluated agreement between the measurement methods with Pearson correlation, Bland-Altman plot, and Sign test. A total of 118 blood sample pairs were included. The mean serum potassium level measured by biochemistry analyzer was 6.78±0.79mmol/L, whereas it was 6.16±0.86mmol/L by blood gas analyzer (Pbiochemistry analyzer. The mean difference between the methods was 0.62±0.43mmol/L. In patients with moderate to severe hyperkalemia, blood gas analyzer and biochemistry analyzer gives significantly different serum potassium results which may be clinically important. Copyright © 2016 Elsevier Inc. All rights reserved.

Parental concern about vaccine safety in Canadian children partially immunized at age 2: a multivariable model including system level factors.

Science.gov (United States)

MacDonald, Shannon E; Schopflocher, Donald P; Vaudry, Wendy

2014-01-01

Children who begin but do not fully complete the recommended series of childhood vaccines by 2 y of age are a much larger group than those who receive no vaccines. While parents who refuse all vaccines typically express concern about vaccine safety, it is critical to determine what influences parents of 'partially' immunized children. This case-control study examined whether parental concern about vaccine safety was responsible for partial immunization, and whether other personal or system-level factors played an important role. A random sample of parents of partially and completely immunized 2 y old children were selected from a Canadian regional immunization registry and completed a postal survey assessing various personal and system-level factors. Unadjusted odds ratios (OR) and adjusted ORs (aOR) were calculated with logistic regression. While vaccine safety concern was associated with partial immunization (OR 7.338, 95% CI 4.138-13.012), other variables were more strongly associated and reduced the strength of the relationship between concern and partial immunization in multivariable analysis (aOR 2.829, 95% CI 1.151-6.957). Other important factors included perceived disease susceptibility and severity (aOR 4.629, 95% CI 2.017-10.625), residential mobility (aOR 3.908, 95% CI 2.075-7.358), daycare use (aOR 0.310, 95% CI 0.144-0.671), number of needles administered at each visit (aOR 7.734, 95% CI 2.598-23.025) and access to a regular physician (aOR 0.219, 95% CI 0.057-0.846). While concern about vaccine safety may be addressed through educational strategies, this study suggests that additional program and policy-level strategies may positively impact immunization uptake.

Prognostic factors of hydrops fetalis with pleural effusion.

Science.gov (United States)

Nakayama, Atsushi; Oshiro, Makoto; Yamada, Yasumasa; Hattori, Tetsuo; Wakano, Yasuhiro; Hayashi, Seiji; Kokubo, Minoru; Takemoto, Koji; Honda, Shigeru; Ieda, Kuniko; Yamamoto, Hikaru; Kouwaki, Masanori; Yokoi, Kyoko; Shinohara, Osamu; Kato, Takenori; Miyata, Masafumi; Tanaka, Taihei; Hayakawa, Masahiro

2017-10-01

Hydrops fetalis (HF) has a low survival rate, particularly in the case of preterm birth. In addition, the severity index of HF has not been fully investigated yet. The aim of this study was to clarify the prognostic factors of HF with pleural effusion. All live-born HF patients with pleural effusion, except for chromosomal abnormality or complex congenital heart disease, born from 2009 to 2013 in Aichi Prefecture in Japan were included. Prenatal, perinatal, and postnatal information was obtained from the medical records and was retrospectively analyzed. Forty-one HF patients with pleural effusion were included, and 28 patients (68%) survived. On multivariate logistic stepwise analysis, gestational birth week (OR, 0.71; 95% CI: 0.52-0.96, P = 0.027) and standard deviation (SD) score of the birthweight (OR, 1.74; 95% CI: 1.01-2.99, P = 0.045) were significant factors for postnatal death. All patients with both ≥32 gestational weeks and pleural effusion. © 2017 Japan Pediatric Society.

Time-of-flight SIMS/MSRI reflectron mass analyzer and method

Science.gov (United States)

Smentkowski, Vincent S.; Gruen, Dieter M.; Krauss, Alan R.; Schultz, J. Albert; Holecek, John C.

1999-12-28

A method and apparatus for analyzing the surface characteristics of a sample by Secondary Ion Mass Spectroscopy (SIMS) and Mass Spectroscopy of Recoiled Ions (MSRI) is provided. The method includes detecting back scattered primary ions, low energy ejected species, and high energy ejected species by ion beam surface analysis techniques comprising positioning a ToF SIMS/MSRI mass analyzer at a predetermined angle .theta., where .theta. is the angle between the horizontal axis of the mass analyzer and the undeflected primary ion beam line, and applying a specific voltage to the back ring of the analyzer. Preferably, .theta. is less than or equal to about 120.degree. and, more preferably, equal to 74.degree.. For positive ion analysis, the extractor, lens, and front ring of the reflectron are set at negative high voltages (-HV). The back ring of the reflectron is set at greater than about +700V for MSRI measurements and between the range of about +15 V and about +50V for SIMS measurements. The method further comprises inverting the polarity of the potentials applied to the extractor, lens, front ring, and back ring to obtain negative ion SIMS and/or MSRI data.

Analyzing Perceptions of Prospective Teachers about Their Media Literacy Competencies

Science.gov (United States)

Recepoglu, Ergun; Ergun, Muammer

2013-01-01

The purpose of this study is to analyze perceptions of prospective teachers about their media literacy competencies in terms of different variables. This is a descriptive research in the survey model which tries to detect the current situation. Study group includes 580 prospective teachers from Turkish, Primary School, Social Studies, Science,…

Data Auditor: Analyzing Data Quality Using Pattern Tableaux

Science.gov (United States)

Srivastava, Divesh

Monitoring databases maintain configuration and measurement tables about computer systems, such as networks and computing clusters, and serve important business functions, such as troubleshooting customer problems, analyzing equipment failures, planning system upgrades, etc. These databases are prone to many data quality issues: configuration tables may be incorrect due to data entry errors, while measurement tables may be affected by incorrect, missing, duplicate and delayed polls. We describe Data Auditor, a tool for analyzing data quality and exploring data semantics of monitoring databases. Given a user-supplied constraint, such as a boolean predicate expected to be satisfied by every tuple, a functional dependency, or an inclusion dependency, Data Auditor computes "pattern tableaux", which are concise summaries of subsets of the data that satisfy or fail the constraint. We discuss the architecture of Data Auditor, including the supported types of constraints and the tableau generation mechanism. We also show the utility of our approach on an operational network monitoring database.

Lessons Learned from Human Factor Technical Support for Nuclear Power Plants

International Nuclear Information System (INIS)

Jung, Yeon Sub; Song, Tae Young

2011-01-01

NETEC is on the frontier to support Korean nuclear power plants. Requests of service are distributed through web based system. Human factor requests are occasionally posted. This paper analyzes interesting human factors requests/responses serviced, and summarizes the lesson learned. Subjects of the service include man machine interface, equipment label, procedure writing, procedure adherence, BISI, hand switch and alarm tile. Specifically the man machine interface is related to control command generated by acknowledge button, arrangement of switches. Procedure writing is about how to write contingency actions with proper numbering scheme. BISI is analyzed in view of automation level. Alarm tile is about how to handle the common alarm tile originated from local alarm boards. These topics seem to be legacies of past technology. Even though there are still human engineering discrepancies, these have been less evaluated because the topics need knowledge of other field domains

RootAnalyzer: A Cross-Section Image Analysis Tool for Automated Characterization of Root Cells and Tissues.

Directory of Open Access Journals (Sweden)

Joshua Chopin

Full Text Available The morphology of plant root anatomical features is a key factor in effective water and nutrient uptake. Existing techniques for phenotyping root anatomical traits are often based on manual or semi-automatic segmentation and annotation of microscopic images of root cross sections. In this article, we propose a fully automated tool, hereinafter referred to as RootAnalyzer, for efficiently extracting and analyzing anatomical traits from root-cross section images. Using a range of image processing techniques such as local thresholding and nearest neighbor identification, RootAnalyzer segments the plant root from the image's background, classifies and characterizes the cortex, stele, endodermis and epidermis, and subsequently produces statistics about the morphological properties of the root cells and tissues. We use RootAnalyzer to analyze 15 images of wheat plants and one maize plant image and evaluate its performance against manually-obtained ground truth data. The comparison shows that RootAnalyzer can fully characterize most root tissue regions with over 90% accuracy.

Measuring Bioenergetics in T Cells Using a Seahorse Extracellular Flux Analyzer

NARCIS (Netherlands)

van der Windt, Gerritje J. W.; Chang, Chih-Hao; Pearce, Erika L.

2016-01-01

This unit contains several protocols to determine the energy utilization of T cells in real-time using a Seahorse Extracellular Flux Analyzer (http://www.seahorsebio.com). The advantages to using this machine over traditional metabolic assays include the simultaneous measurement of glycolysis and

Solar Probe ANalyzer for Ions - Laboratory Performance

Science.gov (United States)

Livi, R.; Larson, D. E.; Kasper, J. C.; Korreck, K. E.; Whittlesey, P. L.

2017-12-01

The Parker Solar Probe (PSP) mission is a heliospheric satellite that will orbit the Sun closer than any prior mission to date with a perihelion of 35 solar radii (RS) and an aphelion of 10 RS. PSP includes the Solar Wind Electrons Alphas and Protons (SWEAP) instrument suite, which in turn consists of four instruments: the Solar Probe Cup (SPC) and three Solar Probe ANalyzers (SPAN) for ions and electrons. Together, this suite will take local measurements of particles and electromagnetic fields within the Sun's corona. SPAN-Ai has completed flight calibration and spacecraft integration and is set to be launched in July of 2018. The main mode of operation consists of an electrostatic analyzer (ESA) at its aperture followed by a Time-of-Flight section to measure the energy and mass per charge (m/q) of the ambient ions. SPAN-Ai's main objective is to measure solar wind ions within an energy range of 5 eV - 20 keV, a mass/q between 1-60 [amu/q] and a field of view of 2400x1200. Here we will show flight calibration results and performance.

Soft Decision Analyzer

Science.gov (United States)

Lansdowne, Chatwin; Steele, Glen; Zucha, Joan; Schlesinger, Adam

2013-01-01

We describe the benefit of using closed-loop measurements for a radio receiver paired with a counterpart transmitter. We show that real-time analysis of the soft decision output of a receiver can provide rich and relevant insight far beyond the traditional hard-decision bit error rate (BER) test statistic. We describe a Soft Decision Analyzer (SDA) implementation for closed-loop measurements on single- or dual- (orthogonal) channel serial data communication links. The analyzer has been used to identify, quantify, and prioritize contributors to implementation loss in live-time during the development of software defined radios. This test technique gains importance as modern receivers are providing soft decision symbol synchronization as radio links are challenged to push more data and more protocol overhead through noisier channels, and software-defined radios (SDRs) use error-correction codes that approach Shannon's theoretical limit of performance.

Difference in Postsurgical Prognostic Factors between Lung Adenocarcinoma and Squamous Cell Carcinoma

Science.gov (United States)

Sakai, Hiroki; Kimura, Hiroyuki; Miyazawa, Tomoyuki; Marushima, Hideki; Saji, Hisashi

2017-01-01

Purpose: The aim of this study was to compare the clinicopathologic prognostic factors between patients who underwent lung resection for adenocarcinoma (AD) and those with squamous cell carcinoma (SQ). Methods: A database of patients with lung AD or SQ who underwent surgery with curative intent in our department from January 2008 to December 2014 was reviewed. Associations between various clinicopathologic factors, postsurgical recurrence-free survival (RFS), and overall survival (OS) were analyzed to find significant prognostic factors. Results: A total of 537 lung cancer patients (AD, 434; SQ, 103) were included in this study. Although RFS was similar in patients with AD and SQ, OS was significantly poorer in those with SQ. Multivariate analysis in patients with AD revealed that age (≥69 vs. <69), lymphatic invasion, and histologic pleural invasion (p0 vs. p1–3) were associated with RFS, while gender and pleural invasion were associated with OS. In SQ, however, smoking, clinical stage, and pulmonary metastasis were associated with RFS in the multivariate analysis. Conclusion: Since significant postoperative prognostic factors are quite different between lung AD and SQ, these two histologic types should be differently analyzed in a clinical study. PMID:28966230

Excitation and charge transfer in He+ + H collisions. A molecular approach including two-electron translation factors

International Nuclear Information System (INIS)

Errea, L.F.; Mendez, L.; Riera, A.

1983-01-01

In a previous paper we have pointed out that the common-translation-factor (CTF) method is the only one which, at present, and within the framework of the molecular model of atomic collisions, can be shown to be both convergent and computationally fast, even for many-electron systems. In this Communication we check that this second statement is correct, presenting, for the first time, a molecular calculation involving two-electron translation factors, for He + + H collisions. A careful study of the sensitivity of the calculated cross sections to the choice of the CTF is performed, and conclusions on that sensitivity are drawn, for several types of processes

Analyzing EFL Teachers’ Initial Job Motivation and Factors Effecting Their Motivation in Fezalar Educational Institutions in Iraq

Directory of Open Access Journals (Sweden)

Selcuk Koran

2015-02-01

Full Text Available Teacher motivation is one of the primary variables of students’ high performance. It is experienced that students whose teachers are highly motivated are more engaged in the learning process. Therefore, it’s mostly the teacher who determines the level of success or failure in achieving institution’s goal in the educational process. Thus, teachers are expected to demonstrate a high job motivation performance by administrations. However, some teachers seem naturally enthusiastic about teaching while others need to be stimulated, inspired and challenged. There are several factors that provide teachers with necessary motivation driven by which they can work effectively. These factors can be emotional, financial, physical or academic. This study is an attempt to find out what motivates teachers to enter this profession, since the reasons of entering this job has significant influence on their commitment to the job, investigate factors which are responsible for high or low motivation of language teachers in Fezalar Educational Institutions (FEI, which is a Turkish private institution that operates in Iraq, and ascertain the degree to which intrinsic and extrinsic motivational factors impact teachers in their work situation. Based on the review of the recent researches of motivation, in general, and of language teacher motivation, in particular, and relying on the qualitative and quantitative study of the issue, a detailed analysis of some aspects of foreign language teacher motivation is presented in the article. Keywords: teacher motivation, job satisfaction, foreign language teaching, L2 teacher motivation

Finite grid radius and thickness effects on retarding potential analyzer measured suprathermal electron density and temperature

International Nuclear Information System (INIS)

Knudsen, W.C.

1992-01-01

The effect of finite grid radius and thickness on the electron current measured by planar retarding potential analyzers (RPAs) is analyzed numerically. Depending on the plasma environment, the current is significantly reduced below that which is calculated using a theoretical equation derived for an idealized RPA having grids with infinite radius and vanishingly small thickness. A correction factor to the idealized theoretical equation is derived for the Pioneer Venus (PV) orbiter RPA (ORPA) for electron gases consisting of one or more components obeying Maxwell statistics. The error in density and temperature of Maxwellian electron distributions previously derived from ORPA data using the theoretical expression for the idealized ORPA is evaluated by comparing the densities and temperatures derived from a sample of PV ORPA data using the theoretical expression with and without the correction factor

A Rigorous Methodology for Analyzing and Designing Plug-Ins

DEFF Research Database (Denmark)

Fasie, Marieta V.; Haxthausen, Anne Elisabeth; Kiniry, Joseph

2013-01-01

. This paper addresses these problems by describing a rigorous methodology for analyzing and designing plug-ins. The methodology is grounded in the Extended Business Object Notation (EBON) and covers informal analysis and design of features, GUI, actions, and scenarios, formal architecture design, including...... behavioral semantics, and validation. The methodology is illustrated via a case study whose focus is an Eclipse environment for the RAISE formal method's tool suite....

Sex similarities and differences in risk factors for recurrence of major depression.

Science.gov (United States)

van Loo, Hanna M; Aggen, Steven H; Gardner, Charles O; Kendler, Kenneth S

2017-11-27

Major depression (MD) occurs about twice as often in women as in men, but it is unclear whether sex differences subsist after disease onset. This study aims to elucidate potential sex differences in rates and risk factors for MD recurrence, in order to improve prediction of course of illness and understanding of its underlying mechanisms. We used prospective data from a general population sample (n = 653) that experienced a recent episode of MD. A diverse set of potential risk factors for recurrence of MD was analyzed using Cox models subject to elastic net regularization for males and females separately. Accuracy of the prediction models was tested in same-sex and opposite-sex test data. Additionally, interactions between sex and each of the risk factors were investigated to identify potential sex differences. Recurrence rates and the impact of most risk factors were similar for men and women. For both sexes, prediction models were highly multifactorial including risk factors such as comorbid anxiety, early traumas, and family history. Some subtle sex differences were detected: for men, prediction models included more risk factors concerning characteristics of the depressive episode and family history of MD and generalized anxiety, whereas for women, models included more risk factors concerning early and recent adverse life events and socioeconomic problems. No prominent sex differences in risk factors for recurrence of MD were found, potentially indicating similar disease maintaining mechanisms for both sexes. Course of MD is a multifactorial phenomenon for both males and females.

Factors affecting rotator cuff healing after arthroscopic repair: osteoporosis as one of the independent risk factors.

Science.gov (United States)

Chung, Seok Won; Oh, Joo Han; Gong, Hyun Sik; Kim, Joon Yub; Kim, Sae Hoon

2011-10-01

The prognostic factors associated with structural outcome after arthroscopic rotator cuff repair have not yet been fully determined. The hypothesis of this study was that bone mineral density (BMD) is an important prognostic factor affecting rotator cuff healing after arthroscopic cuff repair. Cohort study; Level of evidence, 3. Among 408 patients who underwent arthroscopic repair for full-thickness rotator cuff tear between January 2004 and July 2008, 272 patients were included whose postoperative cuff integrity was verified by computed tomography arthrography (CTA) or ultrasonography (USG) and simultaneously who were evaluated by various functional outcome instruments. The mean age at the time of operation was 59.5 ± 7.9 years. Postoperative CTA or USG was performed at a mean 13.0 ± 5.1 months after surgery, and the mean follow-up period was 37.2 ± 10.0 months (range, 24-65 months). The clinical, structural, and surgery-related factors affecting cuff integrity including BMD were analyzed using both univariate and multivariate analysis. Evaluation of postoperative cuff integrity was performed by musculoskeletal radiologists who were unaware of the present study. The failure rate of rotator cuff healing was 22.8% (62 of 272). The failure rate was significantly higher in patients with lower BMD (P cuff healing failure following arthroscopic rotator cuff repair. Bone mineral density, as well as FI of the infraspinatus and amount of retraction, was an independent determining factor affecting postoperative rotator cuff healing. Further studies with prospective, randomized, and controlled design are needed to confirm the relationship between BMD and postoperative rotator cuff healing.

Performance evaluation of Samsung LABGEO(HC10) Hematology Analyzer.

Science.gov (United States)

Park, Il Joong; Ahn, Sunhyun; Kim, Young In; Kang, Seon Joo; Cho, Sung Ran

2014-08-01

The Samsung LABGEO(HC10) Hematology Analyzer (LABGEO(HC10)) is a recently developed automated hematology analyzer that uses impedance technologies. The analyzer provides 18 parameters including 3-part differential at a maximum rate of 80 samples per hour. To evaluate the performance of the LABGEO(HC10). We evaluated precision, linearity, carryover, and relationship for complete blood cell count parameters between the LABGEO(HC10) and the LH780 (Beckman Coulter Inc) in a university hospital in Korea according to the Clinical and Laboratory Standards Institute guidelines. Sample stability and differences due to the anticoagulant used (K₂EDTA versus K₃EDTA) were also evaluated. The LABGEO(HC10) showed linearity over a wide range and minimal carryover ( 0.92) except for mean corpuscular hemoglobin concentration. The bias estimated was acceptable for all parameters investigated except for monocyte count. Most parameters were stable until 24 hours both at room temperature and at 4°C. The difference by anticoagulant type was statistically insignificant for all parameters except for a few red cell parameters. The accurate results achievable and simplicity of operation make the unit recommendable for small to medium-sized laboratories.

X-ray fluorescence diffractionless analyzer for determining light element content in iron ore mixtures

International Nuclear Information System (INIS)

Yuksa, L.K.; Kochmola, N.M.; Bondarenko, V.P.; Bogdanov, V.K.

1986-01-01

Diffractionless X-ray fluorescence analyzer for detecting calcium oxide and silicon dioxide contents in dry iron ore materials has been developed. The analyzer includes a charging unit, sample-conveying device, spectrometric units for detecting calcium and silicon, computing racks and sample-removing device. Results of calcium oxide and silicon dioxide analyses in iron ore mixtures are presented. Errors are evaluated. It is shown that the analyzer provides high accuracy of one-time determinations, as well as reading constancy for a long time

40 CFR 86.318-79 - Oxides of nitrogen analyzer specifications.

Science.gov (United States)

2010-07-01

... be at least 90 percent. (4) The quench interference must be less than 3.0 percent as measured in § 86.327. (b) Option. The oxides of nitrogen may be measured with an NDIR analyzer system that meets the following specifications: (1) The system shall include an NO2 to NO converter, a water trap, and an NDIR...

A fatigue analysis including environmental effects for a pipe system in a Swedish BWR

International Nuclear Information System (INIS)

Steingrimsdottir, Kristin; Dahlberg, Magnus

2011-10-01

A BWR feed water piping system (austenitic steel) has been analyzed with two different fatigue curves and environmental factors. Original fatigue curve from ASME is compared to a new fatigue curve; ANL. The influence of environmental correction factors (Fen) is studied further for the piping system. It is noted that the results apply for this particular system, and general conclusions should be cautiously drawn. Typical for this system is that all dominant loads are within the low-cycle regime. This implies that the change of fatigue curve only leads to limited increases in usage factors. Larger changes can occur if larger number of cycles is within the high-cycle regime

Neutron disadvantage factors in heavy water and light water reactors

International Nuclear Information System (INIS)

Pop-Jordanov, J.

1966-01-01

A number od heavy water and light water reactor cells are analyzed in this paper by applying analytical methods of neutron thermalization. Calculations done according to the one-group Amouyal-Benoist method are included in addition. Computer codes for ZUSE Z-23 computer were written by applying both methods. The obtained results of disadvantage factors are then compared to results obtained by one-group P 3 approximation and by multigroup K7-THERMOS code [sr

Analyzing data files in SWAN

CERN Document Server

Gajam, Niharika

2016-01-01

Traditionally analyzing data happens via batch-processing and interactive work on the terminal. The project aims to provide another way of analyzing data files: A cloud-based approach. It aims to make it a productive and interactive environment through the combination of FCC and SWAN software.

Predictors and protective factors for adolescent Internet victimization

DEFF Research Database (Denmark)

Helweg-Larsen, Karin; Schütt, Nina; Larsen, Helmer Bøving

2012-01-01

To examine the rate of Internet victimization in a nationally representative sample of adolescents aged 14-17 and to analyze predictors and protective factors for victimization.......To examine the rate of Internet victimization in a nationally representative sample of adolescents aged 14-17 and to analyze predictors and protective factors for victimization....

Effectiveness of maximal safe resection for glioblastoma including elderly and low karnofsky performance status patients. Retrospective review at a single institute

International Nuclear Information System (INIS)

Uzuka, Takeo; Takahashi, Hideaki; Aoki, Hiroshi; Natsumeda, Manabu; Fujii, Yukihiko

2012-01-01

Elderly and low Karnofsky performance status (KPS) patients have been excluded from most prospective trials. This retrospective study investigated glioblastoma treatment outcomes, including those of elderly and low KPS patients, and analyzed the prognostic factors using the medical records of 107 consecutive patients, 59 men and 48 women aged from 21 to 85 years (median 65 years), with newly diagnosed glioblastoma treated at our institute. There were 71 high-risk patients with age >70 years and/or KPS 6 -methylguanine-deoxyribonucleic acid methyltransferase-negative (p=0.027), and more than subtotal removal (p=0.003) were significant prognostic factors. The median postoperative KPS score tended to be better than the preoperative score, even in the high-risk group. We recommend maximal safe resection for glioblastoma patients, even those with advanced age and/or with low KPS scores. (author)

Novel HIT antibody detection method using Sonoclot® coagulation analyzer.

Science.gov (United States)

Wanaka, Keiko; Asada, Reiko; Miyashita, Kumiko; Kaneko, Makoto; Endo, Hirokazu; Yatomi, Yutaka

2015-01-01

Since heparin-induced thrombocytopenia (HIT), caused by the generation of antibodies against platelet factor 4 (PF4)/heparin complexes (HIT antibodies), may induce serious complications due to thrombosis, a prompt diagnosis is desirable. Functional tests with platelet activation to detect HIT antibodies are useful for diagnosis of HIT, in particular (14)C-selotonin release assay (SRA). However, they are complicated and so can be performed only in limited laboratories. We tested if a blood coagulation test using Sonoclot® analyzer can serve for the detection of HIT antibodies. A murine monoclonal antibody (HIT-MoAb) against PF4/heparin complexes was used as an alternative to human HIT antibodies. To the mixture of HIT-MoAb and heparin (0.5 U/mL, final), whole blood obtained from a healthy volunteer was added, and then the activated clotting time (ACT), clot rate (CR), and area under the curve (AUC) were measured with Sonoclot® analyzer for 30minutes. The HIT-MoAb (30 to 100μg/mL, final) concentration dependently suppressed the anticoagulation activity (prolongation of ACT and decrease of CR and AUC) of heparin. The suppression of anticoagulation effect of heparin by HIT-MoAb was demonstrated by measurements using Sonoclot® analyzer. This method may provide a new tool for screening of HIT antibodies. Copyright © 2014 Elsevier Ltd. All rights reserved.

Multiple Statistical Models Based Analysis of Causative Factors and Loess Landslides in Tianshui City, China

Science.gov (United States)

Su, Xing; Meng, Xingmin; Ye, Weilin; Wu, Weijiang; Liu, Xingrong; Wei, Wanhong

2018-03-01

Tianshui City is one of the mountainous cities that are threatened by severe geo-hazards in Gansu Province, China. Statistical probability models have been widely used in analyzing and evaluating geo-hazards such as landslide. In this research, three approaches (Certainty Factor Method, Weight of Evidence Method and Information Quantity Method) were adopted to quantitively analyze the relationship between the causative factors and the landslides, respectively. The source data used in this study are including the SRTM DEM and local geological maps in the scale of 1:200,000. 12 causative factors (i.e., altitude, slope, aspect, curvature, plan curvature, profile curvature, roughness, relief amplitude, and distance to rivers, distance to faults, distance to roads, and the stratum lithology) were selected to do correlation analysis after thorough investigation of geological conditions and historical landslides. The results indicate that the outcomes of the three models are fairly consistent.

Behavioral and psychosocial factors associated with suicidal ideation among adolescents.

Science.gov (United States)

Lee, GyuYoung; Ham, Ok Kyung

2018-04-10

Suicidal ideation poses a serious threat to the well-being of adolescents and is the strongest risk factor for suicide. Indeed, Korea ranks first among Organisation for Economic Cooperation and Development countries regarding the age-standardized suicide rates. In the present study, we examined multiple levels of factors associated with the suicidal ideation of adolescents in Korea by applying the Ecological Models of Health Behavior. A cross-sectional study was conducted with a convenience sample of 860 adolescents. The instruments included the Beck Depression Inventory and the Adolescent Mental Health and Problem Behavior Questionnaire. The data were analyzed using hierarchical multiple regression. Sixteen percent of participants reported suicidal ideation. Intrapersonal (sleep disturbance, Internet game addiction, destructive behavior, and depressive symptoms) and interpersonal factors (family conflicts and peer victimization) were associated with suicidal ideation. Because multiple factors were associated with suicidal ideation among adolescents, both intrapersonal (sleep disturbance, Internet game addiction, and depression) and interpersonal factors (family conflicts and peer problems) should be considered in the development of suicide-prevention programs. These programs could include campaigns changing the norms (permissive attitudes toward school violence) and the development of strict and rigorous school non-violence policies. © 2018 John Wiley & Sons Australia, Ltd.

Patients' views toward knee osteoarthritis exercise therapy and factors influencing adherence - a survey in China.

Science.gov (United States)

Zhou, Zhiwei; Hou, Yunfei; Lin, Jianhao; Wang, Kai; Liu, Qiang

2018-05-01

To understand the views toward exercise therapy for knee osteoarthritis (KOA) in China and to analyze factors affecting treatment adherence. A survey-based study, which included multiple choice and open-ended questions on knee OA exercise therapy was conducted in a Chinese population. The content included the respondents' attitudes and beliefs, willingness to receive treatment, and reasons why they could or could not adhere to the treatment. We used Chi-squared tests to compare cognitive differences between the patients and non-patient groups. A total of 1,069 people responded to the questionnaire, and the response rate was 81.8%. A total of 93.6% of the patients thought that they could adhere to the exercise treatment if they received professional advice and prescriptions. The following questionnaire items achieved consensus: 'Increasing the strength of the muscles around the knee stops the knee pain from getting worse,' 'It is the person's own responsibility to continue doing their exercise program,' 'How helpful the exercise program will be determines how well a person sticks to it,' 'Health professionals should educate patients with knee pain about how to change their lifestyle for the better,' and 'Exercise for knee pain is most helpful when it is designed for each person, to suit their own particular needs.' Patient adherence was affected by multiple factors, and some negative factors included 'forgetfulness,' 'getting joint symptoms improved after therapy,' 'professional guidance, subsequent monitoring and supervision,' 'willing to enhance overall health and quality of life,' 'having no time,' 'occupational factors,' 'considering that the pain would worsen while/after exercise,' and 'family factors.' A general Chinese population accepted exercise therapy for treating KOA in our survey. Education is necessary because patients were uncertain and had misunderstandings regarding the potential benefits of exercise therapy. Some factors related to treatment

A social work study on socio-economic and cultural factors influencing on community

Directory of Open Access Journals (Sweden)

Mohammad Reza Iravani

2013-07-01

Full Text Available We present a study to investigate the impacts of four factors on contribution role on society among Arab tribes Jarghoyeh women who live in Iran. The study designs a questionnaire, distributes them among 400 women, and analyzes their feedbacks. There are four hypotheses, which study the effects of various factors on women’s contribution role on society. These factors include educational background, level of welfare, numbers of children and ties of kinship. The results show that while educational background, level of welfare and ties of kinship play important role on women’s contribution role on society, having more children do not statistically have any influence on juvenile delinquency.

ACTIVITY-BASED COST ALLOCATION AND FUNCTION ANALYZES IN TRADE

Directory of Open Access Journals (Sweden)

TÜNDE VERES

2011-01-01

Full Text Available In this paper the author is thinking about the efficiency analyzes of trading. The most important evaluation factors of trade are the sales value, volume and the margin. Of course the easiest and fastest way is to follow the market situation by the turnover but for long term thinking the sales companies need to concentrate also for efficiency. Trading activity has some functions which can deeply effect for the final result and this is the reason to calculate their clear and reliable costs is an important condition of the decision making. The author reviews the cost categories and the basic functions in trading activity to find possible ways getting reliable information.

ADAM: Analyzer for Dialectal Arabic Morphology

Directory of Open Access Journals (Sweden)

Wael Salloum

2014-12-01

Full Text Available While Modern Standard Arabic (MSA has many resources, Arabic Dialects, the primarily spoken local varieties of Arabic, are quite impoverished in this regard. In this article, we present ADAM (Analyzer for Dialectal Arabic Morphology. ADAM is a poor man’s solution to quickly develop morphological analyzers for dialectal Arabic. ADAM has roughly half the out-of-vocabulary rate of a state-of-the-art MSA analyzer and is comparable in its recall performance to an Egyptian dialectal morphological analyzer that took years and expensive resources to build.

Factors affecting aggression in South Korean middle school students.

Science.gov (United States)

Park, MiJeong; Choi, Jihea; Lim, Seung-Joo

2014-12-01

The study was undertaken to assess levels of aggression, and to determine factors affecting aggression among South Korean middle school students. A descriptive study was conducted using self-report questionnaires. The participants were 340 girls and boys from two middle schools and 302 questionnaires were used for the final data analysis. Aggression, academic stress, depression, self esteem, decision-making competency, and happiness were measured. Data were analyzed using descriptive statistics including t tests, one-way analysis of variance, Pearson's correlation coefficients and multiple regressions. Aggression had significant correlations with academic stress (r = .21, p decision-making competency (r = -.25, p emotional factors like depression and academic stress. Additionally, development of positive factors such as self esteem, decision-making skills, and happiness in middle school students is important to reduce aggression. Copyright © 2014. Published by Elsevier B.V.

A Fuzzy Logic System to Analyze a Student's Lifestyle

OpenAIRE

Ghosh, Sourish; Boob, Aaditya Sanjay; Nikhil, Nishant; Vysyaraju, Nayan Raju; Kumar, Ankit

2016-01-01

A college student's life can be primarily categorized into domains such as education, health, social and other activities which may include daily chores and travelling time. Time management is crucial for every student. A self realisation of one's daily time expenditure in various domains is therefore essential to maximize one's effective output. This paper presents how a mobile application using Fuzzy Logic and Global Positioning System (GPS) analyzes a student's lifestyle and provides recom...

What Factors Encourage Intrafamily Farm Succession in Mountain Areas? Evidence From an Alpine Valley in Italy

OpenAIRE

Cavicchioli, D.; Bertoni, D.; Tesser, F.; Frisio, D.G.

2015-01-01

Family farming plays a vital role in mountain areas. Its survival is related to multiple factors, including intrafamily farm succession. This study examined data on apple-producing family farms in an Italian Alpine valley, trying to identify which factors foster or discourage intrafamily succession and to what extent they do this, both at the farm level and from the potential successor's viewpoint. To do so, various farm, farmer, and individual characteristics were analyzed using probabilisti...

THE INFLUENCE OF CORPORATE SPECIFIC FACTORS UPON FINANCING DECISIONS

Directory of Open Access Journals (Sweden)

Lacatus Viorel-Dorin

2013-07-01

Full Text Available The purpose of this paper is to analyze the existing theories for the capital structure of a corporation and to determine the factors that influence the financing decisions of Romanian corporations. The gearing ratios vary a lot among Romanian corporations pointing out the fact that the internal specific factors are the ones with a greater impact upon their capital structure, and not the external factors. Our empiric research evaluates the determining factors for the debt ratio (total debt/total assets of some Romanian corporations, focusing on its explanatory variables by including them within simple and multiple econometric models. The panel data indicators computed for the companies in the Cluj area listed on the Bucharest Stock Exchange were evaluated with the OLS and FEM techniques.The results have been interpreted, pointing out that company size and asset turnover seem to have a positive influence upon the debt ratio of selected companies, while profitability and liquidity seem to influence the debt ratio of selected companies negatively.

[Automated analyzer of enzyme immunoassay].

Science.gov (United States)

Osawa, S

1995-09-01

Automated analyzers for enzyme immunoassay can be classified by several points of view: the kind of labeled antibodies or enzymes, detection methods, the number of tests per unit time, analytical time and speed per run. In practice, it is important for us consider the several points such as detection limits, the number of tests per unit time, analytical range, and precision. Most of the automated analyzers on the market can randomly access and measure samples. I will describe the recent advance of automated analyzers reviewing their labeling antibodies and enzymes, the detection methods, the number of test per unit time and analytical time and speed per test.

ANALYZING THE RELATIONSHIP BETWEEN MOVIES AND TV COMMERCIALS TYPES

Directory of Open Access Journals (Sweden)

Frank Van Der Valk

2017-09-01

Full Text Available The aim of this paper is to shed some light on whether there is any connection between the types of movies broadcasted on TV and types of commercials or not. A total of 20 different movies of Polish channels have been recorded and visually analyzed including the contents of the commercials broadcasted before, after and, during them. The different types of movies examined include comedies of manners, romantic comedies, thrillers, action movies, dramas, crimes, science-fiction and adventures. The research results show that there is a relationship between the types of movies broadcasted and the commercials before, during and after them. This connection is based on the needs and consuming behavior of each movie’s viewers.

Factors affecting RAIU in hyperthyroidism patients: an analysis

International Nuclear Information System (INIS)

Fang Yi; Liu Jianfeng; Zhang Xiuli

2003-01-01

Objective: To analyze the factors affecting thyroid radioiodine uptake (RAIU) of hyperthyroidism patients. Methods; RAIU was performed in 106 hyperthyroidism patients. Some factors were studied to analyze influences on the peak of RAIU, including patients' age and sex, gland weight, taking antithyroid drugs (ATD) or not, time of ATD taking and withdrawal. Results: Patients' RAIU peak had no significant difference for different ages and sex (F=1.68, P=0.1439). If preparation was performed according to the requirements before RAIU measurement, taking ATD or not had no influence on RAIU (t=1.1362, P=0.2625). RAIU peak was different between patients whose gland weight was ≤ 30 g and >30 g. Conclusions: Age and sex have no influence on RAIU. As long as ATD was discontinued at least one week before RAIU measurement, time of taking ATD and discontinuation have no influence on RAIU, and the result of measurement coincide with that of patients who do not take medicine. RAIU peak has relation with gland weight, and RAIU of people with gland weight ≤30 g was lower than that of people with gland weight >30 g

De novo mutations in synaptic transmission genes including DNM1 cause epileptic encephalopathies

DEFF Research Database (Denmark)

2014-01-01

in five individuals and de novo mutations in GABBR2, FASN, and RYR3 in two individuals each. Unlike previous studies, this cohort is sufficiently large to show a significant excess of de novo mutations in epileptic encephalopathy probands compared to the general population using a likelihood analysis (p...... = 8.2 × 10(-4)), supporting a prominent role for de novo mutations in epileptic encephalopathies. We bring statistical evidence that mutations in DNM1 cause epileptic encephalopathy, find suggestive evidence for a role of three additional genes, and show that at least 12% of analyzed individuals have...... analyzed exome-sequencing data of 356 trios with the "classical" epileptic encephalopathies, infantile spasms and Lennox Gastaut syndrome, including 264 trios previously analyzed by the Epi4K/EPGP consortium. In this expanded cohort, we find 429 de novo mutations, including de novo mutations in DNM1...

Differences in Virological and Immunological Risk Factors for Non-Hodgkin and Hodgkin Lymphoma

DEFF Research Database (Denmark)

Shepherd, Leah; Ryom, Lene; Law, Matthew

2018-01-01

Background: Non-Hodgkin lymphoma (NHL) and Hodgkin lymphoma (HL) are increased in populations with immune dysfunction, including people living with HIV; however, there is little evidence for to what degree immunological and virological factors differently affect NHL and HL risk. Methods: Data from...... the Data Collection on Adverse events of Anti-HIV Drugs Study cohort were analyzed to identify independent risk factors for NHL and HL using hazard ratios (HRs), focusing on current and cumulative area under the curve (AUC) measures of immunological and virological status. Variables with different...

mixtools: An R Package for Analyzing Mixture Models

Directory of Open Access Journals (Sweden)

Tatiana Benaglia

2009-10-01

Full Text Available The mixtools package for R provides a set of functions for analyzing a variety of finite mixture models. These functions include both traditional methods, such as EM algorithms for univariate and multivariate normal mixtures, and newer methods that reflect some recent research in finite mixture models. In the latter category, mixtools provides algorithms for estimating parameters in a wide range of different mixture-of-regression contexts, in multinomial mixtures such as those arising from discretizing continuous multivariate data, in nonparametric situations where the multivariate component densities are completely unspecified, and in semiparametric situations such as a univariate location mixture of symmetric but otherwise unspecified densities. Many of the algorithms of the mixtools package are EM algorithms or are based on EM-like ideas, so this article includes an overview of EM algorithms for finite mixture models.

Multichannel analyzer embedded in FPGA

International Nuclear Information System (INIS)

Garcia D, A.; Hernandez D, V. M.; Vega C, H. R.; Ordaz G, O. O.; Bravo M, I.

2017-10-01

Ionizing radiation has different applications, so it is a very significant and useful tool, which in turn can be dangerous for living beings if they are exposed to uncontrolled doses. However, due to its characteristics, it cannot be perceived by any of the senses of the human being, so that in order to know the presence of it, radiation detectors and additional devices are required to quantify and classify it. A multichannel analyzer is responsible for separating the different pulse heights that are generated in the detectors, in a certain number of channels; according to the number of bits of the analog to digital converter. The objective of the work was to design and implement a multichannel analyzer and its associated virtual instrument, for nuclear spectrometry. The components of the multichannel analyzer were created in VHDL hardware description language and packaged in the Xilinx Vivado design suite, making use of resources such as the ARM processing core that the System on Chip Zynq contains and the virtual instrument was developed on the LabView programming graphics platform. The first phase was to design the hardware architecture to be embedded in the FPGA and for the internal control of the multichannel analyzer the application was generated for the ARM processor in C language. For the second phase, the virtual instrument was developed for the management, control and visualization of the results. The data obtained as a result of the development of the system were observed graphically in a histogram showing the spectrum measured. The design of the multichannel analyzer embedded in FPGA was tested with two different radiation detection systems (hyper-pure germanium and scintillation) which allowed determining that the spectra obtained are similar in comparison with the commercial multichannel analyzers. (Author)

Analyzing Factors Of In-flight Services Of Garuda Indonesia And Batik Air Towards Passengers Satisfaction

OpenAIRE

Tumewu, Ferdinand; Tulandi, Victor Michael

2014-01-01

Transportation services play an important role in supporting any activity, of human. Various types of the transportation that we use. Among them, are air transportation or airplane. Talk about the satisfaction of airline passenger, nowadays many airlines competing to provide the best service for the passengers, one of the things that can influence passenger satisfaction is through airline service especially in-flight service. The objective of this research is to identify the factors of in-fli...

Clinical Application of Growth Factors and Cytokines in Wound Healing

Science.gov (United States)

Barrientos, Stephan; Brem, Harold; Stojadinovic, Olivera; Tomic-Canic, Marjana

2016-01-01

Wound healing is a complex and dynamic biological process that involves the coordinated efforts of multiple cell types and is executed and regulated by numerous growth factors and cytokines. There has been a drive in the past two decades to study the therapeutic effects of various growth factors in the clinical management of non-healing wounds (e.g. pressure ulcers, chronic venous ulcers, diabetic foot ulcers). For this review, we conducted a nonline search of Medline and Pub Medical and critically analyzed the literature regarding the role of growth factors and cytokines in the management of these wounds. We focused on currently approved therapies, emerging therapies and future research possibilities. In this review we discuss four growth factors and cytokines currently being used on and off label for the healing of wounds. These include: granulocyte-macrophage colony stimulating factor (GM-CSF), platelet derived growth factor (PDGF), vascular endothelial growth factor (VEGF), and basic fibroblast growth factor (bFGF). While the clinical results of using growth factors and cytokines are encouraging, many studies involved a small sample size and are disparate in measured endpoints. Therefore, further research is required to provide definitive evidence of efficacy. PMID:24942811

Assessment of risk factors for noncommunicable disease risk factors among men of working age

Directory of Open Access Journals (Sweden)

M. Yu. Vasilyev

2013-01-01

Full Text Available Objective: the investigation of some modifiable and non-modifiable risk factors and poor explored as well of non-convectional diseases among men of working age.Subjects and methods. Seven thousand thirty five men in age of 18 to 60 years were examined. History data included age, gender, nationality,high blood pressure (BP episodes, antihypertensive drugs taking in case of arterial hypertension, smoking. Instrumental examination included BP measurement when seated after 5 minutes of the rest with mean BP calculation. Total cholesterol and creatinine in blood, clearance of creatinine calculation by Cockcroft–Gault formula, microalbuminuria were assayed; depression level was estimated by Beck score. With purpose to analyze the risk factors structure all examined subjects were divided into three groups according to SCORE scale.Results. Cholesterol level analysis revealed the increasing of parameter in 41.7 % of examined patients (n = 307. Microalbuminuria was revealed in 13.8 % (n = 102 of men, and 19.3 % of them (n = 80 had increased blood pressure. Some levels of depression were revealed in 42.5 % (n = 312, among them the arterial hypertension was observed in 62,5 % (n = 195. The group with low and moderate cardiovascular risk consisted of 594 persons (80.8 %. High cardiovascular risk was determined in 15.2 % men of working age (n = 112. Very high cardiovascular risk was revealed in 3.9 % (n = 29 of responders.Conclusion. Increasing of traditional risk factors rate is associated with increasing of additional risk factors. Received data are widening the perception about risk factors structure in population. Particularly the question about renal filtration function role, depressive syndrome, trophologic insufficiency is raised. Consideration of those in prophylaxis system consideration requires a specific education of general practitioners.

Associations of biological factors and affordances in the home with infant motor development.

Science.gov (United States)

Saccani, Raquel; Valentini, Nadia C; Pereira, Keila Rg; Müller, Alessandra B; Gabbard, Carl

2013-04-01

Whereas considerable work has been published regarding biological factors associated with infant health, much less is known about the associations of environmental context with infant development - the focus of the present cross-sectional study. Data were collected on 561 infants, aged newborn to 18 months. Measures included the Affordances in the Home Environment for Motor Development-Infant Scale, Alberta Infant Motor Scale, and selected bio/medical factors. Correlation and regression were used to analyze the data. Home environmental factors were associated with children's motor development as much as some typically high-risk biologic factors. The home environment partially explained infant development outcomes and infants at risk could possibly be helped with a home assessment for affordances. © 2012 The Authors. Pediatrics International © 2012 Japan Pediatric Society.

Analyze the factors effecting the development of hydro power projects in hydro rich regions of India

Directory of Open Access Journals (Sweden)

Ameesh Kumar Sharma

2016-09-01

Full Text Available Power is considered as the major back bone for all the nations throughout the world including India on the basis of which development of the country depends. If a country has the resources to generate the power at competitive price in that case the people of the country get the benefits in terms of improvement in their social and economical life. When we talk about India, various locations in the country where still there is no electricity people are living in dark without having the access of the modern technology. The total hydro power potential of India is 1, 50,000 MW out of this total hydro potential only 40,195 MW is exploited till 2014. More than 80% of the total hydro potential of the country is lying in the western Himalayan states (Jammu and Kashmir, Himachal Pradesh, Uttrakhand and Arunachal Pradesh. Small hydro projects are also playing a very important role in the modern world for the development of the remote areas which are not main grid connected specially in western Himalayan region of India. India has a total potential 19,749 MW of small hydro projects and of this total potential only 3990.9 MW harnessed till 2014. Ministry of new and renewable energy in India is also providing special incentives to hydro rich states of India. In this research article we are taken the case study of the small hydro projects in the western Himalayan region because theses states are having vast small hydro potential which is still needed to be harnessed. So, it is very important to identify the factors which are effecting the development of these small ventures especially in western Himalayan region in India.

Methods for Analyzing Multivariate Phenotypes in Genetic Association Studies

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Qiong Yang

2012-01-01

Full Text Available Multivariate phenotypes are frequently encountered in genetic association studies. The purpose of analyzing multivariate phenotypes usually includes discovery of novel genetic variants of pleiotropy effects, that is, affecting multiple phenotypes, and the ultimate goal of uncovering the underlying genetic mechanism. In recent years, there have been new method development and application of existing statistical methods to such phenotypes. In this paper, we provide a review of the available methods for analyzing association between a single marker and a multivariate phenotype consisting of the same type of components (e.g., all continuous or all categorical or different types of components (e.g., some are continuous and others are categorical. We also reviewed causal inference methods designed to test whether the detected association with the multivariate phenotype is truly pleiotropy or the genetic marker exerts its effects on some phenotypes through affecting the others.

Textbooks in the EFL classroom: Defining, assessing and analyzing

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Radić-Bojanić Biljana B.

2016-01-01

Full Text Available The aim of this paper is to define textbooks, analyze their advantages and disadvantages and to explicate the process of textbook selection and reasons for analyzing textbooks. The paper describes two reasons for performing a textbook analysis: evaluating for potential and evaluating for suitability, and further states various processes of textbook content analysis including the analysis of the stated aims and objectives, learner needs, their abilities and preferences, as well as the establishment of criteria in relation to previously set objectives. The paper concludes by stating that the task that teachers are faced with when selecting and evaluating textbooks is not that is an easy one, but it is crucial. With the assistance of clear guidelines and detailed criteria, they should be able to make an informed decision and choose a textbook that is most suitable for the requirements of their specific classroom context.

Analyzing the factors that influencing the success of post graduates in achieving graduate on time (GOT) using analytic hierarchy process (AHP)

Science.gov (United States)

Chin, Wan Yung; Ch'ng, Chee Keong; Jamil, Jastini Mohd.; Shaharanee, Izwan Nizal Mohd.

2017-11-01

In the globalization era, education plays an important role in educating and preparing individuals to face the demands and challenges of 21st century. Thus, this contributes to the increase of the number of individuals pursuing their studies in Doctor of Philosophy (Ph.D) program. However, the ability of Ph.D students in heading to the four years Graduate on Time (GOT) mission that is stipulated by University has become a major concern of students, institution and government. Therefore, the main objective of this study is to investigate the factors that influence the Ph.D students in Universiti Utara Malaysia (UUM) to achieve GOT. Through the reviewing of previous research, six factors which are student factor, financial factor, supervisor factor, skills factor, project factors and institution factor had been identified as the domain factors that influence the Ph.D students in achieving GOT. The level of importance for each factor will be ranked by the experts from three graduate schools using Analytic Hierarchy Process (AHP) technique. This study will bring a significant contribution to the understanding of factors that affecting the Ph.D students in UUM to achieve GOT. In Addition, this study can also succor the university in planning and assisting the Ph.D students to accomplish the GOT in future.

Analyzing public awareness and acceptance of alternative fuel vehicles in China: The case of EV

International Nuclear Information System (INIS)

Zhang Yong; Yu Yifeng; Zou Bai

2011-01-01

The aim of this paper is to analyze consumers' awareness towards electric vehicle (EV) and examine the factors that are most likely to affect consumers' choice for EV in China. A comprehensive questionnaire survey has been conducted with 299 respondents from various driving schools in Nanjing. Three binary logistic regression models were used to determine the factors that contribute to consumers' acceptance of EVs, their purchase time and their purchase price. The results suggest that: (1)Whether a consumer chooses an EV is significantly influenced by the number of driver's licenses, number of vehicles, government policies and fuel price. (2)The timing of consumers' purchases of an EV is influenced by academic degree, annual income, number of vehicles, government policies, the opinion of peers and tax incentives. (3)The acceptance of purchase price of EVs is influenced by age, academic degree, number of family members, number of vehicles, the opinion of peers, maintenance cost and degree of safety. These findings will help understand consumer's purchase behavior of EVs and have important policy implications related to the promotions of EVs in China. - Highlights: → We survey 299 respondents from various driving schools in Nanjing. → We analyze consumer's awareness towards electric vehicle (EV). → The factors affecting consumers' choice for EV are examined by three binary logistic models. → Factors contributing to consumers' acceptance of EVs, purchase time and purchase price are indicated.

Some remarks about engineering factor determination

International Nuclear Information System (INIS)

Svarny, J.

2010-01-01

The problem of the power distribution uncertainties is in general a multidimensional problem of random vector and problem of multidimensional Probability Density Function. The standard methodology of derivation WWER engineering factors is based on representation of analyzed power peaking in the linear form of random factors and on presumption about their normal Probability Density Function. In this paper is presented the derivation of locally defined engineering factors and for mechanical factors has been performed their reformulation. Final formulation of engineering factors as a statistics of relative deviations involves new parameter-mean. Engineering factors definition from so called endpoints of uncertainty tolerance interval is recommended. Approach (95%/95%) for normal Probability Density Function is discussed in detail, the relation to present standard uncertainty methodology of power distribution is found and problem of optimality in tolerance factor finding including limitation of sample size is discussed. On the bases of statistically based uncertainty kinf analysis for linear model has been shown that multivariate outputs vector of power peaking has nearly normal Probability Density Function independently on the Probability Density Function character of input multivariate vector from under its small dimension (lower than number of fuel assemblies in 1/6 core symmetry). Finally the development of the methodological part of the engineering factors for WWER-1000 design macrocode MOBY-DICK is described and their calculation direct on the bases of self-powered detector experimental data of Temelin NPP and Volgodonsk NPP has been performed with inclusion the variability of detector (self-powered detector). (Author)

What factors relate to job satisfaction among rheumatologists?

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McNearney, Terry A; Hunnicutt, Sonya E; Maganti, Rashmi; Rice, Janida

2008-06-01

A severe shortage of practicing rheumatologists in the workforce is predicted over the next 2 decades. Identification of factors impacting job satisfaction will be needed to design interventional strategies for physician retention. To examine predictors of job satisfaction among rheumatologists. A cross-sectional survey was conducted among rheumatologists from the American College of Rheumatology directory with a portion of this designed to examine their job satisfaction. Questions regarding demographics, practice setting and job satisfaction, emotional exhaustion, and personal accomplishment based from the Maslach Burnout Inventory were included. Also included was a rank item to prioritize perceived changes that would improve job satisfaction. The response rate was 30% (N = 285) and 236 were analyzed. Data were primarily analyzed by the independent samples chi2 test. Physician demographics: mean age: 51 years, 76% were male, 27% were full time academicians, and 24% in solo practice. Significant differences (P satisfaction versus "very good" and "low" satisfaction groups includes increased age and solo practice, which were associated with "high" satisfaction. Lower job satisfaction rating correlated with items rating emotional exhaustion (r(s) = -0.43) and better satisfaction with personal accomplishment (r(s) = 0.41, P job satisfaction. Measures to improve job satisfaction may promote physician retention as a means of addressing the predicted workforce shortage.

Multichannel analyzer type CMA-3

International Nuclear Information System (INIS)

Czermak, A.; Jablonski, J.; Ostrowicz, A.

1978-01-01

Multichannel analyzer CMA-3 is designed for two-parametric analysis with operator controlled logical windows. It is implemented in CAMAC standard. A single crate contains all required modules and is controlled by the PDP-11/10 minicomputer. Configuration of CMA-3 is shown. CMA-3 is the next version of the multichannel analyzer described in report No 958/E-8. (author)

A Score for Risk of Thrombolysis-Associated Hemorrhage Including Pretreatment with Statins

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Hebun Erdur

2018-02-01

Full Text Available BackgroundSymptomatic intracranial hemorrhage (sICH after intravenous thrombolysis with recombinant tissue-plasminogen activator (rt-PA for acute ischemic stroke is associated with a poor functional outcome. We aimed to develop a score assessing risk of sICH including novel putative predictors—namely, pretreatment with statins and severe renal impairment.MethodsWe analyzed our local cohort (Berlin of patients receiving rt-PA for acute ischemic stroke between 2006 and 2016. Outcome was sICH according to ECASS-III criteria. A multiple regression model identified variables associated with sICH and receiver operating characteristics were calculated for the best discriminatory model for sICH. The model was validated in an independent thrombolysis cohort (Basel.ResultssICH occurred in 53 (4.0% of 1,336 patients in the derivation cohort. Age, baseline National Institutes of Health Stroke Scale, systolic blood pressure on admission, blood glucose on admission, and prior medication with medium- or high-dose statins were associated with sICH and included into the risk of intracranial hemorrhage score. The validation cohort included 983 patients of whom 33 (3.4% had a sICH. c-Statistics for sICH was 0.72 (95% CI 0.66–0.79 in the derivation cohort and 0.69 (95% CI 0.60–0.77 in the independent validation cohort. Inclusion of severe renal impairment did not improve the score.ConclusionWe developed a simple score with fair discriminating capability to predict rt-PA-related sICH by adding prior statin use to known prognostic factors of sICH. This score may help clinicians to identify patients with higher risk of sICH requiring intensive monitoring.

Tensor Factorization for Precision Medicine in Heart Failure with Preserved Ejection Fraction.

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Luo, Yuan; Ahmad, Faraz S; Shah, Sanjiv J

2017-06-01

Heart failure with preserved ejection fraction (HFpEF) is a heterogeneous clinical syndrome that may benefit from improved subtyping in order to better characterize its pathophysiology and to develop novel targeted therapies. The United States Precision Medicine Initiative comes amid the rapid growth in quantity and modality of clinical data for HFpEF patients ranging from deep phenotypic to trans-omic data. Tensor factorization, a form of machine learning, allows for the integration of multiple data modalities to derive clinically relevant HFpEF subtypes that may have significant differences in underlying pathophysiology and differential response to therapies. Tensor factorization also allows for better interpretability by supporting dimensionality reduction and identifying latent groups of data for meaningful summarization of both features and disease outcomes. In this narrative review, we analyze the modest literature on the application of tensor factorization to related biomedical fields including genotyping and phenotyping. Based on the cited work including work of our own, we suggest multiple tensor factorization formulations capable of integrating the deep phenotypic and trans-omic modalities of data for HFpEF, or accounting for interactions between genetic variants at different omic hierarchies. We encourage extensive experimental studies to tackle challenges in applying tensor factorization for precision medicine in HFpEF, including effectively incorporating existing medical knowledge, properly accounting for uncertainty, and efficiently enforcing sparsity for better interpretability.

Oropharyngeal Dysphagia in Dermatomyositis: Associations with Clinical and Laboratory Features Including Autoantibodies

OpenAIRE

Mugii, Naoki; Hasegawa, Minoru; Matsushita, Takashi; Hamaguchi, Yasuhito; Oohata, Sacihe; Okita, Hirokazu; Yahata, Tetsutarou; Someya, Fujiko; Inoue, Katsumi; Murono, Shigeyuki; Fujimoto, Manabu; Takehara, Kazuhiko

2016-01-01

Objective Dysphagia develops with low frequency in patients with dermatomyositis. Our objective was to determine the clinical and laboratory features that can estimate the development of dysphagia in dermatomyositis. Methods This study included 92 Japanese patients with adult-onset dermatomyositis. The associations between dysphagia and clinical and laboratory features including disease-specific autoantibodies determined by immunoprecipitation assays were analyzed. Results Videofluoroscopy sw...

Analysis of clinical features and risk factors for infective endocarditis

International Nuclear Information System (INIS)

Wang Li; Zhao Liangping; Xu Weiting; Chen Jianchang; Tong Guangming; Hong Xiaosu

2012-01-01

Objective: To analyze the clinical features of infective endocarditis (IE) and explore the risk factors for it's prognosis. Methods: Clinical data of 65 patients with IE were acquired retrospectively, and its causes, clinical characteristics, pathogenic microorganism, clinical outcomes were analyzed. Results: The major occurring heart diseases for IE in all patients were rheumatic heart disease, congenital heart disease, and there was no any previously known heart disease. The major clinical manifestations included fever and anemia. The major pathogenic bacteria is streptococcus, but percentage of other bacteria increased gradually. Thirteen patients were refractory, in hospital. Haematoglobin and seralbumin were significantly lower, and leucocyte, hsCRP, erythrocyte sedimentation were significantly higher in refractory group. Anaemia, lower seralbumin, higher hsCRP were independent predictors for bad prognosis. Conclusion: The proportion of rheumatic heart disease is decreasing as one of the risk factors for IE in recent years. Streptococcus is major pathogen of IE, and the mortality of IE is still very high. Anaemia, lower seralbumin, higher hsCRP are independent predictors for bad prognosis. (authors)

Development of an Adolescent Depression Ontology for Analyzing Social Data.

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Jung, Hyesil; Park, Hyeoun-Ae; Song, Tae-Min; Jeon, Eunjoo; Kim, Ae Ran; Lee, Joo Yun

2015-01-01

Depression in adolescence is associated with significant suicidality. Therefore, it is important to detect the risk for depression and provide timely care to adolescents. This study aims to develop an ontology for collecting and analyzing social media data about adolescent depression. This ontology was developed using the 'ontology development 101'. The important terms were extracted from several clinical practice guidelines and postings on Social Network Service. We extracted 777 terms, which were categorized into 'risk factors', 'sign and symptoms', 'screening', 'diagnosis', 'treatment', and 'prevention'. An ontology developed in this study can be used as a framework to understand adolescent depression using unstructured data from social media.

Definitive radiotherapy for early glottic carcinoma: prognostic factors and implications for treatment

International Nuclear Information System (INIS)

Burke, Lisa S.; Greven, Kathryn M.; McGuirt, Wyman T.; Case, Douglas; Hoen, Helena M.; Raben, Milton

1997-01-01

Purpose: Treatment and disease-related factors were analyzed for their influence on the outcome of patients treated definitively with irradiation (RT) for early glottic carcinoma. Methods and Materials: One hundred two patients with stage T1 or T2 glottic carcinomas were treated definitively with RT from December 1983 through September 1993. Median follow-up time was 63 months. Factors analyzed for each patient included age, sex, stage, anterior commissure involvement, surgical alternative, histologic differentiation, field size, total dose, fraction size, and total treatment time. Survival analysis methods were employed to assess the effects of these factors on local control and complication rates. Results: The 5-year local control rates by stage were as follows: T1a, 92%; T1b, 80%; T2a, 94%; and T2b, 23%. By univariate analysis, factors found to have a significant impact on local control were stage, surgical alternative, fraction size, anterior commissure involvement, and overall treatment time. By multivariate analysis, stage, field size, and fraction size were the only significant factors that independently influenced local control. Conclusion: The inferior control rate for stage T2b lesions has implications for treatment. Our study supports the conclusion of reports in the literature showing that low fraction size negatively influences outcome in patients with early glottic cancer

Definitive radiotherapy for early glottic carcinoma: prognostic factors and implications for treatment

International Nuclear Information System (INIS)

Burke, Lisa S.; Greven, Kathryn M.; McGuirt, Wyman T.; Case, Douglas; Hoen, Helena M.; Raben, Milton

1997-01-01

Purpose: Treatment and disease-related factors were analyzed for their influence on the outcome of patients treated definitively with irradiation (RT) for early glottic carcinoma. Methods and Materials: One hundred two patients with stage T1 or T2 glottic carcinomas were treated definitively with RT from December 1983 through September 1993. Median follow-up time was 63 months. Factors analyzed for each patient included age, sex, stage, anterior commissure involvement, surgical alternative, histologic differentiation, field size, total dose, fraction size, and total treatment time. Survival analysis methods were employed to assess the effects of these factors on local control and complication rates. Results: The 5-year local control rates by stage were as follows: T1a, 92%; T1b, 80%; T2a, 94%; and T2b, 23%. By univariate analysis, factors found to have a significant impact on local control were stage, surgical alternative, fraction size, anterior commissure involvement, and overall treatment time. By multivariate analysis, stage, field size, and fraction size were the only significant factors that independently influenced local control. Conclusions: The inferior control rate for stage T2b lesions has implications for treatment. Our study supports the conclusions of reports in the literature showing that low fraction size negatively influences outcome in patients with early glottic cancer

External risk factors affecting construction costs

Science.gov (United States)

Mubarak, Husin, Saiful; Oktaviati, Mutia

2017-11-01

Some risk factors can have impacts on the cost, time, and performance. Results of previous studies indicated that the external conditions are among the factors which give effect to the contractor in the completion of the project. The analysis in the study carried out by considering the conditions of the project in the last 15 years in Aceh province, divided into military conflict phase (2000-2004), post tsunami disaster rehabilitation and reconstruction phase (2005-2009), and post-rehabilitation and reconstruction phase (2010-present). This study intended to analyze the impact of external risk factors, primarily related to the impact on project costs and to investigate the influence of the risk factors and construction phases impacted the project cost. Data was collected by using a questionnaire distributed in 15 large companies qualification contractors in Aceh province. Factors analyzed consisted of socio-political, government policies, natural disasters, and monetary conditions. Data were analyzed using statistical application of severity index to measure the level of risk impact. The analysis results presented the tendency of impact on cost can generally be classified as low. There is only one variable classified as high-impact, variable `fuel price increases', which appear on the military conflict and post tsunami disaster rehabilitation and reconstruction periods. The risk impact on costs from the factors and variables classified with high intensity needs a serious attention, especially when the high level impact is followed by the high frequency of occurrences.

"Walking like a crab" : Analyzing Maskanda Music in Post-Apartheid South Africa

NARCIS (Netherlands)

Titus, B.

2013-01-01

This article addresses a South African music genre: maskanda, often marketed as "Zulu blues." It describes the various ways maskanda is musically analyzed and interpreted by musicians, audiences, producers, and scholars, including myself. By treating music analysis as a form of participant

Mothers recovering from cocaine addiction: factors affecting parenting skills.

Science.gov (United States)

Coyer, S M

2001-01-01

To identify factors that may influence parenting by mothers who are recovering from cocaine addiction. Exploratory descriptive, with in-depth unstructured interviews. Interviews were conducted in the woman's home or in a treatment center. A convenience sample of 11 women recovering from cocaine addiction who were mothers of children 3 years of age and younger. A content analysis was used to analyze the interview data. Two themes, personal/psychologic factors and environmental/contextual factors, and four subthemes emerged. They identify issues that may affect parenting by mothers being treated for cocaine addiction. Subthemes included low self-esteem, difficulty developing a maternal identity, isolation from friends and family, and chronic life stress. This study provides a better understanding of the sources contributing to vulnerability in the parenting role for mothers recovering from cocaine addiction and will assist nurses in providing care for these mothers and their children.

DEMorphy, German Language Morphological Analyzer

OpenAIRE

Altinok, Duygu

2018-01-01

DEMorphy is a morphological analyzer for German. It is built onto large, compactified lexicons from German Morphological Dictionary. A guesser based on German declension suffixed is also provided. For German, we provided a state-of-art morphological analyzer. DEMorphy is implemented in Python with ease of usability and accompanying documentation. The package is suitable for both academic and commercial purposes wit a permissive licence.

Hypoxia enhances the interaction between pancreatic stellate cells and cancer cells via increased secretion of connective tissue growth factor.

Science.gov (United States)

Eguchi, Daiki; Ikenaga, Naoki; Ohuchida, Kenoki; Kozono, Shingo; Cui, Lin; Fujiwara, Kenji; Fujino, Minoru; Ohtsuka, Takao; Mizumoto, Kazuhiro; Tanaka, Masao

2013-05-01

Pancreatic cancer (PC), a hypovascular tumor, thrives under hypoxic conditions. Pancreatic stellate cells (PSCs) promote PC progression by secreting soluble factors, but their functions in hypoxia are poorly understood. This study aimed to clarify the effects of hypoxic conditions on the interaction between PC cells and PSCs. We isolated human PSCs from fresh pancreatic ductal adenocarcinomas and analyzed functional differences in PSCs between normoxia (21% O2) and hypoxia (1% O2), including expression of various factors related to tumor-stromal interactions. We particularly analyzed effects on PC invasiveness of an overexpressed molecule-connective tissue growth factor (CTGF)-in PSCs under hypoxic conditions, using RNA interference techniques. Conditioned media from hypoxic PSCs enhanced PC cell invasiveness more intensely than that from normoxic PSCs (P cancer. Copyright © 2013 Elsevier Inc. All rights reserved.

Analyzed Using Statistical Moments

International Nuclear Information System (INIS)

Oltulu, O.

2004-01-01

Diffraction enhanced imaging (DEl) technique is a new x-ray imaging method derived from radiography. The method uses a monorheumetten x-ray beam and introduces an analyzer crystal between an object and a detector Narrow angular acceptance of the analyzer crystal generates an improved contrast over the evaluation radiography. While standart radiography can produce an 'absorption image', DEl produces 'apparent absorption' and 'apparent refraction' images with superior quality. Objects with similar absorption properties may not be distinguished with conventional techniques due to close absorption coefficients. This problem becomes more dominant when an object has scattering properties. A simple approach is introduced to utilize scattered radiation to obtain 'pure absorption' and 'pure refraction' images

TRASYS - THERMAL RADIATION ANALYZER SYSTEM (CRAY VERSION WITH NASADIG)

Science.gov (United States)

Anderson, G. E.

1994-01-01

The Thermal Radiation Analyzer System, TRASYS, is a computer software system with generalized capability to solve the radiation related aspects of thermal analysis problems. TRASYS computes the total thermal radiation environment for a spacecraft in orbit. The software calculates internode radiation interchange data as well as incident and absorbed heat rate data originating from environmental radiant heat sources. TRASYS provides data of both types in a format directly usable by such thermal analyzer programs as SINDA/FLUINT (available from COSMIC, program number MSC-21528). One primary feature of TRASYS is that it allows users to write their own driver programs to organize and direct the preprocessor and processor library routines in solving specific thermal radiation problems. The preprocessor first reads and converts the user's geometry input data into the form used by the processor library routines. Then, the preprocessor accepts the user's driving logic, written in the TRASYS modified FORTRAN language. In many cases, the user has a choice of routines to solve a given problem. Users may also provide their own routines where desirable. In particular, the user may write output routines to provide for an interface between TRASYS and any thermal analyzer program using the R-C network concept. Input to the TRASYS program consists of Options and Edit data, Model data, and Logic Flow and Operations data. Options and Edit data provide for basic program control and user edit capability. The Model data describe the problem in terms of geometry and other properties. This information includes surface geometry data, documentation data, nodal data, block coordinate system data, form factor data, and flux data. Logic Flow and Operations data house the user's driver logic, including the sequence of subroutine calls and the subroutine library. Output from TRASYS consists of two basic types of data: internode radiation interchange data, and incident and absorbed heat rate data

Influence of organizational factors on performance reliability

International Nuclear Information System (INIS)

Haber, S.B.; O'Brien, J.N.; Metlay, D.S.; Crouch, D.A.

1991-12-01

This is the first volume of a two-volume report. Volume 2 will be published at a later date. This report presents the results of a research project conducted by Brookhaven National Laboratory for the United States Nuclear Regulatory Commission, Office of Nuclear Regulatory Research. The purpose of the project was to develop a general methodology to be use in the assessment of the organizational factors which affect performance reliability (safety) in a nuclear power plant. The research described in this report includes the development of the Nuclear Organization and Management Analysis Concept (GNOMIC). This concept characterizes the organizational factors that impact safety performance in a nuclear power plant and identifies some methods for systematically measuring and analyzing the influence of these factors on safety performance. This report is divided into two parts; Part 1 presents an overview of the development of the methodology, while Part 2 provides more details and a technical analysis of the methodological development. Specifically, the results of two demonstration studies, the feasibility of the methodology, and a specific applications for which the methodology was developed are presented

Biomechanics of the cornea evaluated by spectral analysis of waveforms from ocular response analyzer and Corvis-ST.

Directory of Open Access Journals (Sweden)

Sushma Tejwani

Full Text Available In this study, spectral analysis of the deformation signal from Corvis-ST (CoST and reflected light intensity from ocular response analyzer (ORA was performed to evaluate biomechanical concordance with each other.The study was non-interventional, observational, cross-sectional and involved 188 eyes from 94 normal subjects. Three measurements were made on each eye with ORA and CoST each and then averaged for each device. The deformation signal from CoST and reflected light intensity (applanation signal from ORA was compiled for all the eyes. The ORA signal was inverted about a line joining the two applanation peaks. All the signals were analyzed with Fourier series. The area under the signal curves (AUC, root mean square (RMS of all the harmonics, lower order (LO included 1st and 2nd order harmonic, higher order (HO up to 6th harmonic, CoST deformation amplitude (DA, corneal hysteresis (CH and corneal resistance factor (CRF were analyzed.The device variables and those calculated by Fourier transform were statistically significantly different between CoST and ORA. These variables also differed between the eyes of the same subject. There was also statistically significant influence of eyes (left vs. right on the differences in a sub-set of RMS variables only. CH and CRF differed statistically significantly between the eyes of subject (p<0.001 but not DA (p = 0.65.CoST was statistically significantly different from ORA. CoST may be useful in delineating true biomechanical differences between the eyes of a subject as it reports deformation.

Risk Factors for Gastrointestinal Leak after Bariatric Surgery: MBASQIP Analysis.

Science.gov (United States)

Alizadeh, Reza Fazl; Li, Shiri; Inaba, Colette; Penalosa, Patrick; Hinojosa, Marcelo W; Smith, Brian R; Stamos, Michael J; Nguyen, Ninh T

2018-03-30

Gastrointestinal leak remains one of the most dreaded complications in bariatric surgery. We aimed to evaluate risk factors and the impact of common perioperative interventions on the development of leak in patients who underwent laparoscopic bariatric surgery. Using the 2015 database of accredited centers, data were analyzed for patients who underwent laparoscopic sleeve gastrectomy or Roux-en-Y gastric bypass (LRYGB). Emergent, revisional, and converted cases were excluded. Multivariate logistic regression was used to analyze risk factors for leak, including provocative testing of anastomosis, surgical drain placement, and use of postoperative swallow study. Data from 133,478 patients who underwent laparoscopic sleeve gastrectomy (n = 92,495 [69.3%]) and LRYGB (n = 40,983 [30.7%]) were analyzed. Overall leak rate was 0.7% (938 of 133,478). Factors associated with increased risk for leak were oxygen dependency (adjusted odds ratio [AOR] 1.97), hypoalbuminemia (AOR 1.66), sleep apnea (AOR 1.52), hypertension (AOR 1.36), and diabetes (AOR 1.18). Compared with LRYGB, laparoscopic sleeve gastrectomy was associated with a lower risk of leak (AOR 0.52; 95% CI 0.44 to 0.61; p leak rate was higher in patients with vs without a provocative test (0.8% vs 0.4%, respectively; p leak rate was higher in patients with vs without a surgical drain placed (1.6% vs 0.4%, respectively; p leak rate was similar between patients with vs without swallow study (0.7% vs 0.7%; p = 0.50). The overall rate of gastrointestinal leak in bariatric surgery is low. Certain preoperative factors, procedural type (LRYGB), and interventions (intraoperative provocative test and surgical drain placement) were associated with a higher risk for leaks. Copyright © 2018 American College of Surgeons. Published by Elsevier Inc. All rights reserved.

Artificial intelligence techniques for automatic screening of amblyogenic factors.

Science.gov (United States)

Van Eenwyk, Jonathan; Agah, Arvin; Giangiacomo, Joseph; Cibis, Gerhard

2008-01-01

To develop a low-cost automated video system to effectively screen children aged 6 months to 6 years for amblyogenic factors. In 1994 one of the authors (G.C.) described video vision development assessment, a digitizable analog video-based system combining Brückner pupil red reflex imaging and eccentric photorefraction to screen young children for amblyogenic factors. The images were analyzed manually with this system. We automated the capture of digital video frames and pupil images and applied computer vision and artificial intelligence to analyze and interpret results. The artificial intelligence systems were evaluated by a tenfold testing method. The best system was the decision tree learning approach, which had an accuracy of 77%, compared to the "gold standard" specialist examination with a "refer/do not refer" decision. Criteria for referral were strabismus, including microtropia, and refractive errors and anisometropia considered to be amblyogenic. Eighty-two percent of strabismic individuals were correctly identified. High refractive errors were also correctly identified and referred 90% of the time, as well as significant anisometropia. The program was less correct in identifying more moderate refractive errors, below +5 and less than -7. Although we are pursuing a variety of avenues to improve the accuracy of the automated analysis, the program in its present form provides acceptable cost benefits for detecting ambylogenic factors in children aged 6 months to 6 years.

Factors related to the economic sustainability of two-year chemistry-based technology training programs

Science.gov (United States)

Backus, Bridgid A.

Two-year chemistry-based technology training (CBTT) programs in the U.S. are important in the preparation of the professional technical workforce. The purpose of this study was to identify, examine, and analyze factors related to the economic sustainability of CBTT programs. A review of literature identified four clustered categories of 31 sub-factors related to program sustainability. Three research questions relating to program sustainability were: (1) What is the relative importance of the identified factors?, (2) What differences exist between the opinions of administrators and faculty?, and (3) What are the interrelationships among the factors? In order to answer these questions, survey data gathered from CBTT programs throughout the United States were analyzed statistically. Conclusions included the following: (1) Rank order of the importance to sustainability of the clustered categories was: (1) Partnerships, (2) Employer and Student Educational Goals, (3) Faculty and Their Resources, and (4) Community Perceptions and Marketing Strategies. (2) Significant correlations between ratings of sustainability and the sub-factors included: degree of partnering, college responsiveness, administration involvement in partnerships, experiential learning opportunities, employer input in curriculum development, use of skill standards, number of program graduates, student job placement, professional development opportunities, administrator support, presence of a champion, flexible scheduling, program visibility, perception of chemical technicians, marketing plans, and promotion to secondary students. (3) Faculty and administrators differed significantly on only two sub-factor ratings: employer assisted curriculum development, and faculty workloads. (4) Significant differences in ratings by small program faculty and administrators and large program faculty and administrators were indicated, with most between small program faculty and large program administrators. The study

MULTIVARIATE ANALYSIS OF RISK FACTORS FOR PREMATURITY IN SOUTHERN BRAZIL

Directory of Open Access Journals (Sweden)

Willian Augusto de Melo

2014-05-01

Full Text Available This study assessed the risk factors associated with preterm birth through a cross-sectional study in 4,440 newborns. Examined the factors associated between maternal sociodemographic variables (age, marital status, education and occupation, obstetric (pregnancy and delivery type and number of prenatal visits and neonatal (sex, race/color, birth weight and Apgar. Data were analyzed by multivariate logistic regression technique. Among the 480 (10.8% preterm risk factors were prevalent type of pregnancy (OR=6.48, number of prenatal visits (OR=2.09, Apgar score at first (OR=2.00 and fifth minute (OR=2.14 and birth weight (OR=31.8 indicating that these variables are directly associated with the occurrence of prematurity. The identification of risk factors should be the object of attention of health professionals and services to support effective measures to promote health to the general population; especially for women in fertile included some criteria of gestational risk.

LEARNERS SATISFACTION FACTORS IN NEUROLOGY RELATED MOOCs

Directory of Open Access Journals (Sweden)

Ionela MANIU

2017-12-01

Full Text Available The aim of this article is to investigate the factors that are influencing student satisfaction in case of neurology related massive open online courses (MOOCs. We analyzed data collected from learners enrolled in 40 neurology related MOOCs, by manually looking for information in these courses reviews. The main identified satisfaction factors can be grouped into the following categories: content related factors: course content, additional materials, assignments, external research and teaching - learning related factors (teacher presentation techniques / style: engaging, clear, coherent, knowledgeable, sharing / explanation, interactive, excitement, considering student’s needs, inspiring, sense of humor. Competences, skills and objectives pursued by neurology related MOOCs are also discussed. Analyzing these factors can be useful in new courses management (design and implementation and also in understanding the needs (motivation, behaviors, perception of 21st century learners interested in neurology related fields.

CSTT Update: Fuel Quality Analyzer

Energy Technology Data Exchange (ETDEWEB)

Brosha, Eric L. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Lujan, Roger W. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Mukundan, Rangachary [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Rockward, Tommy [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Romero, Christopher J. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Williams, Stefan [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Wilson, Mahlon S. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

2018-02-06

These are slides from a presentation. The following topics are covered: project background (scope and approach), developing the prototype (timeline), update on intellectual property, analyzer comparisons (improving humidification, stabilizing the baseline, applying clean-up strategy, impact of ionomer content and improving clean-up), proposed operating mode, considerations for testing in real-world conditions (Gen 1 analyzer electronics development, testing partner identified, field trial planning), summary, and future work.

End loss analyzer system for measurements of plasma flux at the C-2U divertor electrode

Energy Technology Data Exchange (ETDEWEB)

Griswold, M. E., E-mail: mgriswold@trialphaenergy.com; Korepanov, S.; Thompson, M. C. [Tri Alpha Energy, P.O. Box 7010, Rancho Santa Margarita, California 92688 (United States)

2016-11-15

An end loss analyzer system consisting of electrostatic, gridded retarding-potential analyzers and pyroelectric crystal bolometers was developed to characterize the plasma loss along open field lines to the divertors of C-2U. The system measures the current and energy distribution of escaping ions as well as the total power flux to enable calculation of the energy lost per escaping electron/ion pair. Special care was taken in the construction of the analyzer elements so that they can be directly mounted to the divertor electrode. An attenuation plate at the entrance to the gridded retarding-potential analyzer reduces plasma density by a factor of 60 to prevent space charge limitations inside the device, without sacrificing its angular acceptance of ions. In addition, all of the electronics for the measurement are isolated from ground so that they can float to the bias potential of the electrode, 2 kV below ground.

First 25-hydroxyvitamin D assay for general chemistry analyzers.

Science.gov (United States)

Saida, Fakhri B; Chen, Xiaoru; Tran, Kiet; Dou, Chao; Yuan, Chong

2015-03-01

25-Hydroxyvitamin D [25(OH)D], the predominant circulating form of vitamin D, is an accurate indicator of the general vitamin D status of an individual. Because vitamin D deficiencies have been linked to several pathologies (including osteoporosis and rickets), accurate monitoring of 25(OH)D levels is becoming increasingly important in clinical settings. Current 25(OH)D assays are either chromatographic or immunoassay-based assays. These assays include HPLC, liquid chromatography-tandem mass spectrometry (LC-MS/MS), enzyme-immunosorbent, immunochemiluminescence, immunofluorescence and radioimmunoassay. All these assays use heterogeneous formats that require phase separation and special instrumentations. In this article, we present an overview of these assays and introduce the first homogeneous assay of 25(OH)D for use on general chemistry analyzers. A special emphasis is put on the unique challenges posed by the 25(OH)D analyte. These challenges include a low detection limit, the dissociation of the analyte from its serum transporter and the inactivation of various binding proteins without phase separation steps.

Study on the effect factor of the absolute fission rates measured by depleted uranium fission chamber

International Nuclear Information System (INIS)

Jiang Li; Liu Rong; Wang Dalun; Wang Mei; Lin Jufang; Wen Zhongwei

2003-01-01

The absolute fission rates was measured by the depleted uranium fission chamber. The efficiency of the fission fragments recorded in the fission chamber was analyzed. The factor influencing absolute fission rates was studied in the experiment, including the disturbing effect between detectors and the effect of the structural of the fission chamber, etc

Factores psicosociales relacionados con el consumo doméstico de agua en una región semidesértica Psychosocial factors associated with domestic water consumption in a semidesert region

Directory of Open Access Journals (Sweden)

Rocío Haydee Arreguín-Moreno

2009-08-01

Full Text Available OBJETIVO: Analizar los factores psicosociales que intervienen en el consumo doméstico del agua en Hermosillo, Sonora, región del noroeste de México caracterizada por ser semidesértica. Para ello se trabajó con una muestra seleccionada de forma intencional de 198 personas (79 hombres y 119 mujeres de una institución de educación superior, con base en las teorías de la acción razonada y la autoeficacia. MATERIAL Y MÉTODOS: Se aplicó una escala que incluyó los factores psicosociales analizados, con opciones tipo Likert. RESULTADOS: La media de edad fue de 35 años. La relación entre los factores fue positiva y moderada, en particular entre intención-norma, creencias-intención, creencias-autoeficacia, actitud-intención, actitud-autoeficacia y autoeficacia-intención. CONCLUSIÓN: Si bien las características de la muestra no permiten generalizar resultados, el estudio muestra la utilidad de los factores psicosociales analizados y sugiere la posibilidad de incorporarlos en programas educativos para el cuidado del agua en el hogar.OBJECTIVE: To analyze psychosocial factors related with domestic water consumption in Hermosillo, Sonora, a semidesert region in northwestern Mexico. An intentionally selected sample of 198 people (79 men and 119 women from a higher education institution was used to evaluate the theories of rational action and self-efficacy. MATERIAL AND METHODS: A scale with the psychosocial factors to be analyzed and Likert-type items was applied. RESULTS: The age mean was 35 years old. A positive moderate association was found between the diverse factors, particularly between intention-norm, beliefs-intention, beliefs-self-efficacy, attitude-intention, attitude-self-efficacy, and self-efficacy-intention. CONCLUSIONS: Despite the fact that the sample characteristics do not allow results to be generalized, the study shows the usefulness of the psychosocial factors that were analyzed and suggests the possibility of including

Excitation and charge transfer in He/sup +/ + H collisions. A molecular approach including two-electron translation factors

Energy Technology Data Exchange (ETDEWEB)

Errea, L.F.; Mendez, L.; Riera, A.

1983-06-01

In a previous paper we have pointed out that the common-translation-factor (CTF) method is the only one which, at present, and within the framework of the molecular model of atomic collisions, can be shown to be both convergent and computationally fast, even for many-electron systems. In this Communication we check that this second statement is correct, presenting, for the first time, a molecular calculation involving two-electron translation factors, for He/sup +/ + H collisions. A careful study of the sensitivity of the calculated cross sections to the choice of the CTF is performed, and conclusions on that sensitivity are drawn, for several types of processes.

IT Solution concept development for tracking and analyzing the labor effectiveness of employees

Science.gov (United States)

Ilin, Igor; Shirokova, Svetlana; Lepekhin, Aleksandr

2018-03-01

Labor efficiency and productivity of employees is an important aspect for the environment within any type of organization. This is particularly crucial factor for the companies, if which operations are associated with physical labor, such as construction companies. Productivity and efficiency are both very complicated concepts and a huge variety of methods and approaches to its analysis can be implemented within the organization. Despite that, it is important to choose the methods, which not only analyze the key performance indicators of employee, but take into account personal indicators, which might affect performance even more than professional skills. For this complicated analysis task it is important to build IT solution for tracking and analyzing of the labor effectiveness. The concept for designing this IT solution is proposed in the current research.

IT Solution concept development for tracking and analyzing the labor effectiveness of employees

Directory of Open Access Journals (Sweden)

Ilin Igor

2018-01-01

Full Text Available Labor efficiency and productivity of employees is an important aspect for the environment within any type of organization. This is particularly crucial factor for the companies, if which operations are associated with physical labor, such as construction companies. Productivity and efficiency are both very complicated concepts and a huge variety of methods and approaches to its analysis can be implemented within the organization. Despite that, it is important to choose the methods, which not only analyze the key performance indicators of employee, but take into account personal indicators, which might affect performance even more than professional skills. For this complicated analysis task it is important to build IT solution for tracking and analyzing of the labor effectiveness. The concept for designing this IT solution is proposed in the current research.

40 CFR 1065.845 - Response factor determination.

Science.gov (United States)

2010-07-01

... 40 Protection of Environment 32 2010-07-01 2010-07-01 false Response factor determination. 1065... POLLUTION CONTROLS ENGINE-TESTING PROCEDURES Testing With Oxygenated Fuels § 1065.845 Response factor... each FID analyzer's alcohol/carbonyl response factor (such as RF MeOH) after FID optimization to...

Erikson Psychosocial Stage Inventory: A Factor Analysis

Science.gov (United States)

Gray, Mary McPhail; And Others

1986-01-01

The 72-item Erikson Psychosocial Stage Inventory (EPSI) was factor analyzed for a group of 534 university freshmen and sophomore students. Seven factors emerged, which were labeled Initiative, Industry, Identity, Friendship, Dating, Goal Clarity, and Self-Confidence. Item's representing Erikson's factors, Trust and Autonomy, were dispersed across…

In depth analysis of motivational factors at work in the health industry.

Science.gov (United States)

Bajwa, Sukhminder Jit Singh; Virdi, Sandeep Singh; Bajwa, Sukhwinder Kaur; Ghai, Gagandeep Kaur; Singh, Kamaljit; Rana, Chandeep Singh; Singh, J P; Raj, Sahil; Puri, Anju

2010-01-01

Motivation of health workers is necessary to generate the organizational commitment towards the patients and the hospital and therefore the knowledge about what motivates and satisfies them is very essential.The aim of the project was to investigate and analyze the various factors that help in motivation of the health workers while performing their clinical duties in the hospital. A simple random study was conducted among 100 employees of our institute, which included doctors, staff nurses and paramedical staff. One hundred employees from Gian Sagar Institute were chosen randomly for the purpose of our study. All the employees were enquired by the questionnaire method as well as by individual interviews regarding the various motivating and demotivating factors at the work place. Detailed enquiries were performed regarding the various aspects concerning the job factors and work satisfaction. All the answers and findings were observed and recorded. Simple non-parametric tests like mean, percentages and chi square tests were employed to analyze the data.The demographic profile of all the employees showed only minor differences which were statistically non-significant. Skills, task identity, task significance, autonomy, feedback, environment, job security and compensation were observed to be the important factors for the motivation of employees. The depth and the extent to which these factors were studied at work in the hospital showed remarkable differences. All the factors studied in this project are essential basis for organizational commitment, but feedback represents the factor with the highest motivation potential especially among the younger population.

In depth analysis of motivational factors at work in the health industry

Directory of Open Access Journals (Sweden)

Sukhminder Jit Singh Bajwa

2010-01-01

Full Text Available Background: Motivation of health workers is necessary to generate the organizational commitment towards the patients and the hospital and therefore the knowledge about what motivates and satisfies them is very essential.The aim of the project was to investigate and analyze the various factors that help in motivation of the health workers while performing their clinical duties in the hospital. Materials and Methods: A simple random study was conducted among 100 employees of our institute, which included doctors, staff nurses and paramedical staff. One hundred employees from Gian Sagar Institute were chosen randomly for the purpose of our study. All the employees were enquired by the questionnaire method as well as by individual interviews regarding the various motivating and demotivating factors at the work place. Detailed enquiries were performed regarding the various aspects concerning the job factors and work satisfaction. All the answers and findings were observed and recorded. Results: Statistical Analysis Used: Simple non-parametric tests like mean, percentages and chi square tests were employed to analyze the data.The demographic profile of all the employees showed only minor differences which were statistically non-significant. Skills, task identity, task significance, autonomy, feedback, environment, job security and compensation were observed to be the important factors for the motivation of employees. The depth and the extent to which these factors were studied at work in the hospital showed remarkable differences. Conclusion: All the factors studied in this project are essential basis for organizational commitment, but feedback represents the factor with the highest motivation potential especially among the younger population.

Contamination Analyzer

Science.gov (United States)

1994-01-01

Measurement of the total organic carbon content in water is important in assessing contamination levels in high purity water for power generation, pharmaceutical production and electronics manufacture. Even trace levels of organic compounds can cause defects in manufactured products. The Sievers Model 800 Total Organic Carbon (TOC) Analyzer, based on technology developed for the Space Station, uses a strong chemical oxidizing agent and ultraviolet light to convert organic compounds in water to carbon dioxide. After ionizing the carbon dioxide, the amount of ions is determined by measuring the conductivity of the deionized water. The new technique is highly sensitive, does not require compressed gas, and maintenance is minimal.

The transcription factor SOX18 regulates the expression of matrix metalloproteinase 7 and guidance molecules in human endothelial cells.

Directory of Open Access Journals (Sweden)

Martina Hoeth

Full Text Available Mutations in the transcription factor SOX18 are responsible for specific cardiovascular defects in humans and mice. In order to gain insight into the molecular basis of its action, we identified target genes of SOX18 and analyzed one, MMP7, in detail.SOX18 was expressed in HUVEC using a recombinant adenoviral vector and the altered gene expression profile was analyzed using microarrays. Expression of several regulated candidate SOX18 target genes was verified by real-time PCR. Knock-down of SOX18 using RNA interference was then used to confirm the effect of the transcription factor on selected genes that included the guidance molecules ephrin B2 and semaphorin 3G. One gene, MMP7, was chosen for further analysis, including detailed promoter studies using reporter gene assays, electrophoretic mobility shift analysis and chromatin-immunoprecipitation, revealing that it responds directly to SOX18. Immunohistochemical analysis demonstrated the co-expression of SOX18 and MMP7 in blood vessels of human skin.The identification of MMP7 as a direct SOX18 target gene as well as other potential candidates including guidance molecules provides a molecular basis for the proposed function of this transcription factor in the regulation of vessel formation.

Risk factors for Staphylococcus aureus nasal colonization in Danish middle-aged and elderly twins

DEFF Research Database (Denmark)

Andersen, P S; Larsen, Lisbeth Aagaard; Fowler, V G

2013-01-01

on S. aureus carriage in Danish middle-aged and elderly twins, which indicated no significant heritability that could account for the observed S. aureus carriage. In the present study, we performed a questionnaire-based study of S. aureus colonization on the same cohort of 2,196 Danish middle......-aged and elderly twins to identify specific risk factors for S. aureus nasal colonization, including analyzing the paired twins (n = 478) that were discordant for S. aureus colonization. We found associations between risk factors and S. aureus nasal colonization among middle-aged and elderly twins, including age......, male gender, psoriasis, and atopic diseases. Also, present living on a farm is clearly associated with S. aureus colonization, while smoking had a borderline statistically significant protective effect....

Comparison of body fat using various bioelectrical impedance analyzers in university students

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Petr Kutáč

2015-12-01

Full Text Available Background: At present, the portfolio of devices using the bioelectrical impedance (BIA method is continuously expanding as a result of the wide use of this method in the field as measurements by this method are fast and staff training is simple and reasonably priced. Nonetheless, the problem is that despite using the same method, bioimpedance analyzers can differ in many parameters. They use different electric current frequencies, a different number of electrodes and the electric current may be conducted through different parts of the body.Objective: The main objective of the study is to compare and evaluate the differences of values of the analysis of the body fat of university students measured by BIA analyzers that differ in the applied electric current frequency, number of electrodes and flow of the electric current through the individual body parts.Methods: The research included 125 participants (70 male and 55 female. The measurements were taken by the following analyzers: Tanita 418 MA, InBody 720, InBody R20 and Omron BF 300.Results: The differences in the mean values of the body fat representation between the used analyzers in men ranged from 0.1 to 3.4% and from 0.0 to 2.4 kg, in women from 0.5 to 6.5% and from 0.4 to 3.8 kg in relation to the used analyzer.Conclusions: In men with regular physical activity, the values measured by InBody R20 were statistically and practically different. The analyzer measured higher values that other analyzers. In women, there were statistically and practically significant differences in the values measured by Omron BF 300. This analyzer measured lower values than other analyzers.

Development of the MARS input model for Ulchin 3/4 transient analyzer

International Nuclear Information System (INIS)

Jeong, J. J.; Kim, K. D.; Lee, S. W.; Lee, Y. J.; Lee, W. J.; Chung, B. D.; Hwang, M. G.

2003-12-01

KAERI has been developing the NSSS transient analyzer based on best-estimate codes.The MARS and RETRAN code are adopted as the best-estimate codes for the NSSS transient analyzer. Among these two codes, the MARS code is to be used for realistic analysis of small- and large-break loss-of-coolant accidents, of which break size is greater than 2 inch diameter. This report includes the MARS input model requirements and the calculation note for the MARS input data generation (see the Appendix) for Ulchin 3/4 plant analyzer. In order to confirm the validity of the input data, we performed the calculations for a steady state at 100 % power operation condition and a double-ended cold leg break LOCA. The results of the steady-state calculation agree well with the design data. The results of the LOCA calculation seem to be reasonable and consistent with those of other best-estimate calculations. Therefore, the MARS input data can be used as a base input deck for the MARS transient analyzer for Ulchin 3/4

An exploration study on detecting important factors influencing brand loyalty in retail stores

Directory of Open Access Journals (Sweden)

Naser Azad

2014-01-01

Full Text Available Brand loyalty is one of the most important factors influencing on the success of retail stores. Many retail stores in the field of sport shoes in city of Tehran, Iran are facing tight competition and there seems to be that only stores with loyal customers could survive. In this paper, we present an exploration study to find out important factors influencing retail stores selling one of well-known sport shows such as Adidas, Nike, etc. in city of Tehran, Iran. The proposed study designs a questionnaire in Likert scale and distributes among 265 regular customers of these stores and analyze them using factor analysis. The results indicate that there were four important factors influencing customer loyalty including brand identification, brand promotion, brand loyalty and characterization of stores.

Image Processing for Bioluminescence Resonance Energy Transfer Measurement—BRET-Analyzer

Directory of Open Access Journals (Sweden)

Yan Chastagnier

2018-01-01

Full Text Available A growing number of tools now allow live recordings of various signaling pathways and protein-protein interaction dynamics in time and space by ratiometric measurements, such as Bioluminescence Resonance Energy Transfer (BRET Imaging. Accurate and reproducible analysis of ratiometric measurements has thus become mandatory to interpret quantitative imaging. In order to fulfill this necessity, we have developed an open source toolset for Fiji—BRET-Analyzer—allowing a systematic analysis, from image processing to ratio quantification. We share this open source solution and a step-by-step tutorial at https://github.com/ychastagnier/BRET-Analyzer. This toolset proposes (1 image background subtraction, (2 image alignment over time, (3 a composite thresholding method of the image used as the denominator of the ratio to refine the precise limits of the sample, (4 pixel by pixel division of the images and efficient distribution of the ratio intensity on a pseudocolor scale, and (5 quantification of the ratio mean intensity and standard variation among pixels in chosen areas. In addition to systematize the analysis process, we show that the BRET-Analyzer allows proper reconstitution and quantification of the ratiometric image in time and space, even from heterogeneous subcellular volumes. Indeed, analyzing twice the same images, we demonstrate that compared to standard analysis BRET-Analyzer precisely define the luminescent specimen limits, enlightening proficient strengths from small and big ensembles over time. For example, we followed and quantified, in live, scaffold proteins interaction dynamics in neuronal sub-cellular compartments including dendritic spines, for half an hour. In conclusion, BRET-Analyzer provides a complete, versatile and efficient toolset for automated reproducible and meaningful image ratio analysis.

The wireshark field guide analyzing and troubleshooting network traffic

CERN Document Server

Shimonski, Robert

2013-01-01

The Wireshark Field Guide provides hackers, pen testers, and network administrators with practical guidance on capturing and interactively browsing computer network traffic. Wireshark is the world's foremost network protocol analyzer, with a rich feature set that includes deep inspection of hundreds of protocols, live capture, offline analysis and many other features. The Wireshark Field Guide covers the installation, configuration and use of this powerful multi-platform tool. The book give readers the hands-on skills to be more productive with Wireshark as they drill

Time-delay analyzer with continuous discretization

International Nuclear Information System (INIS)

Bayatyan, G.L.; Darbinyan, K.T.; Mkrtchyan, K.K.; Stepanyan, S.S.

1988-01-01

A time-delay analyzer is described which when triggered by a start pulse of adjustable duration performs continuous discretization of the analyzed signal within nearly 22 ns time intervals, the recording in a memory unit with following slow read-out of the information to the computer and its processing. The time-delay analyzer consists of four CAMAC-VECTOR systems of unit width. With its help one can separate comparatively short, small-amplitude rare signals against the background of quasistationary noise processes. 4 refs.; 3 figs

In-training factors predictive of choosing and sustaining a productive academic career path in neurological surgery.

Science.gov (United States)

Crowley, R Webster; Asthagiri, Ashok R; Starke, Robert M; Zusman, Edie E; Chiocca, E Antonio; Lonser, Russell R

2012-04-01

Factors during neurosurgical residency that are predictive of an academic career path and promotion have not been defined. To determine factors associated with selecting and sustaining an academic career in neurosurgery by analyzing in-training factors for all graduates of American College of Graduate Medical Education (ACGME)-accredited programs between 1985 and 1990. Neurological surgery residency graduates (between 1985 and 1990) from ACGME-approved training programs were analyzed to determine factors associated with choosing an academic career path and having academic success. Information was available for 717 of the 720 (99%) neurological surgery resident training graduates (678 male, 39 female). One hundred thirty-eight graduates (19.3%) held full-time academic positions. One hundred seven (14.9%) were professors and 35 (4.9%) were department chairs/chiefs. An academic career path/success was associated with more total (5.1 vs 1.9; P female trainees (2.6 vs 0.9 publications; P career but not predictive of becoming professor or chair/chief (P > .05). Defined in-training factors including number of total publications, number of first-author publications, and program size are predictive of residents choosing and succeeding in an academic career path.

Pseudocode Interpreter (Pseudocode Integrated Development Environment with Lexical Analyzer and Syntax Analyzer using Recursive Descent Parsing Algorithm

Directory of Open Access Journals (Sweden)

Christian Lester D. Gimeno

2017-11-01

Full Text Available –This research study focused on the development of a software that helps students design, write, validate and run their pseudocode in a semi Integrated Development Environment (IDE instead of manually writing it on a piece of paper.Specifically, the study aimed to develop lexical analyzer or lexer, syntax analyzer or parser using recursive descent parsing algorithm and an interpreter. The lexical analyzer reads pseudocodesource in a sequence of symbols or characters as lexemes.The lexemes are then analyzed by the lexer that matches a pattern for valid tokens and passes to the syntax analyzer or parser. The syntax analyzer or parser takes those valid tokens and builds meaningful commands using recursive descent parsing algorithm in a form of an abstract syntax tree. The generation of an abstract syntax tree is based on the specified grammar rule created by the researcher expressed in Extended Backus-Naur Form. The Interpreter takes the generated abstract syntax tree and starts the evaluation or interpretation to produce pseudocode output. The software was evaluated using white-box testing by several ICT professionals and black-box testing by several computer science students based on the International Organization for Standardization (ISO 9126 software quality standards. The overall results of the evaluation both for white-box and black-box were described as “Excellent in terms of functionality, reliability, usability, efficiency, maintainability and portability”.

A Perspective of Middle Schools and the Motivating Factors that will Influence Students to Pursue Careers in Science

Science.gov (United States)

Hollins-Miller, Cornelia B.

This dissertation project will determine what factors are being used to engage students to obtain careers in science. It will explore factors and other theories that contribute to persuading students to think about careers in science after college. The participants of the study included counselors, parents, principals, middle school students and teachers. All of the participants were surveyed. Information from the participants was collected and analyzed according to their responses. The results indicated that there were many contributing factors that the participants thought changed their attitudes about science and engaging in a science career.

Diffusion piecewise homogenization via flux discontinuity factors

International Nuclear Information System (INIS)

Sanchez, Richard; Zmijarevic, Igor

2011-01-01

We analyze the calculation of flux discontinuity factors (FDFs) for use with piecewise subdomain assembly homogenization. These coefficients depend on the numerical mesh used to compute the diffusion problem. When the mesh has a single degree of freedom on subdomain interfaces the solution is unique and can be computed independently per subdomain. For all other cases we have implemented an iterative calculation for the FDFs. Our numerical results show that there is no solution to this nonlinear problem but that the iterative algorithm converges towards FDFs values that reproduce subdomains reaction rates with a relatively high precision. In our test we have included both the GET and black-box FDFs. (author)

Device for analyzing a solution

International Nuclear Information System (INIS)

Marchand, Joseph.

1978-01-01

The device enables a solution containing an antigen to be analyzed by the radio-immunology technique without coming up against the problems of antigen-antibody complex and free antigen separation. This device, for analyzing a solution containing a biological compound capable of reacting with an antagonistic compound specific of the biological compound, features a tube closed at its bottom end and a component set and immobilized in the bottom of the tube so as to leave a capacity between the bottom of the tube and its lower end. The component has a large developed surface and is so shaped that it allows the solution to be analyzed to have access to the bottom of the tube; it is made of a material having some elastic deformation and able to take up a given quantity of the biological compound or of the antagonistic compound specific of the biological compound [fr

Factors Affecting the Location of Road Emergency Bases in Iran Using Analytical Hierarchy Process (AHP).

Science.gov (United States)

Bahadori, Mohammadkarim; Hajebrahimi, Ahmad; Alimohammadzadeh, Khalil; Ravangard, Ramin; Hosseini, Seyed Mojtaba

2017-10-01

To identify and prioritize factors affecting the location of road emergency bases in Iran using Analytical Hierarchy Process (AHP). This was a mixed method (quantitative-qualitative) study conducted in 2016. The participants in this study included the professionals and experts in the field of pre-hospital and road emergency services issues working in the Health Deputy of Iran Ministry of Health and Medical Education, which were selected using purposive sampling method. In this study at first, the factors affecting the location of road emergency bases in Iran were identified using literature review and conducting interviews with the experts. Then, the identified factors were scored and prioritized using the studied professionals and experts' viewpoints through using the analytic hierarchy process (AHP) technique and its related pair-wise questionnaire. The collected data were analyzed using MAXQDA 10.0 software to analyze the answers given to the open question and Expert Choice 10.0 software to determine the weights and priorities of the identified factors. The results showed that eight factors were effective in locating the road emergency bases in Iran from the viewpoints of the studied professionals and experts in the field of pre-hospital and road emergency services issues, including respectively distance from the next base, region population, topography and geographical situation of the region, the volume of road traffic, the existence of amenities such as water, electricity, gas, etc. and proximity to the village, accident-prone sites, University ownership of the base site, and proximity to toll-house. Among the eight factors which were effective in locating the road emergency bases from the studied professionals and experts' perspectives, "distance from the next base" and "region population" were respectively the most important ones which had great differences with other factors.

Analysis Of Factors Causing Delays On Harun Nafsi - Hm Rifadin Street In Samarinda East Kalimantan Maintenance Project

Directory of Open Access Journals (Sweden)

Fadli

2017-12-01

Full Text Available This study aims to identify analyze and describe the factors that affect the project maintenance delay on Harun Nafsi - HM. Rifadin Street in Samarinda East Kalimantan. This research uses qualitative research method by utilizing questionnaires. The 30 participating respondents consist of 14 project implementers and 16 field implementers. The data are analyzed by descriptive statistical technique factor analysis and linear regression analysis. The results show that the factors influencing the delay of maintenance project of Harun Nafis - HM Rifadin Street include 1 time factor and workmanship factor 2 human resources and natural factors 3 geographical conditions late approval plans change and labor strikes and 4 non-optimal working levels and changes in the scope of the project during the work are still ongoing. Based on multiple linear regression analysis coefficient of determination value of 0.824 is obtained. It means that the four factors studied affect 82.4 of project delays and the rest of 27.6 is influenced by other variables out of this study. The results of this study also indicate that the dominant factor for road maintenance project delays is the fourth factor of the factors mentioned. The effort that the contractor needs to undertake is not to expand the employment contract if the project is underway or the contractor does not have the capability to complete another project.

Research and analyze of physical health using multiple regression analysis

Directory of Open Access Journals (Sweden)

T. S. Kyi

2014-01-01

Full Text Available This paper represents the research which is trying to create a mathematical model of the "healthy people" using the method of regression analysis. The factors are the physical parameters of the person (such as heart rate, lung capacity, blood pressure, breath holding, weight height coefficient, flexibility of the spine, muscles of the shoulder belt, abdominal muscles, squatting, etc.., and the response variable is an indicator of physical working capacity. After performing multiple regression analysis, obtained useful multiple regression models that can predict the physical performance of boys the aged of fourteen to seventeen years. This paper represents the development of regression model for the sixteen year old boys and analyzed results.

Evaluation of Portable Multi-Gas Analyzers for use by Safety Personnel

Science.gov (United States)

Lueck, D. E.; Meneghelli, B. J.; Bardel, D. N.

1998-01-01

During confined space entry operations as well as Shuttle-safing operations, United Space Alliance (USA)/National Aeronautics and Space Administration (NASA) safety personnel use a variety of portable instrumentation to monitor for hazardous levels of compounds such as nitrogen dioxide (N%), monomethylhydrazine (NMM), FREON 21, ammonia (NH3), oxygen (O2), and combustibles (as hydrogen (H2)). Except for O2 and H2, each compound is monitored using a single analyzer. In many cases these analyzers are 5 to 10 years old and require frequent maintenance. In addition, they are cumbersome to carry and tend to make the job of personnel monitoring physically taxing. As part of an effort to upgrade the sensor technology background information was requested from a total of 27 manufacturers of portable multi-gas instruments. A set of criteria was established to determine which vendors would be selected for laboratory evaluation. These criteria were based on requests made by USA/NASA Safety personnel in order to meet requirements within their respective areas for confined-space and Shuttle-safing operations. Each of the 27 manufacturers of multi-gas analyzers was sent a copy of the criteria and asked to fill in the appropriate information pertaining to their instrumentation. Based on the results of the sensor criteria worksheets, a total of 9 vendors out of 27 surveyed manufacturers were chosen for evaluation. Each vendor included in the final evaluation process was requested to configure each of two analyzers with NO2, NH3, O2, and combustible sensors. A set of lab tests was designed in order to determine which of the multi-gas instruments under evaluation was best suited for use in both shuttle and confined space operations. These tests included linearity/repeatability, zero/span drift response/recovery, humidity, interference, and maintenance. At the conclusion of lab testing three vendors were selected for additional field testing. Based on the results of both the lab and

X-ray fluorescence analyzer arrangement

International Nuclear Information System (INIS)

Vatai, Endre; Ando, Laszlo; Gal, Janos.

1981-01-01

An x-ray fluorescence analyzer for the quantitative determination of one or more elements of complex samples is reported. The novelties of the invention are the excitation of the samples by x-rays or γ-radiation, the application of a balanced filter pair as energy selector, and the measurement of the current or ion charge of ionization detectors used as sensors. Due to the increased sensitivity and accuracy, the novel design can extend the application fields of x-ray fluorescence analyzers. (A.L.)

Analysis on the restriction factors of the green building scale promotion based on DEMATEL

Science.gov (United States)

Wenxia, Hong; Zhenyao, Jiang; Zhao, Yang

2017-03-01

In order to promote the large-scale development of the green building in our country, DEMATEL method was used to classify influence factors of green building development into three parts, including green building market, green technology and macro economy. Through the DEMATEL model, the interaction mechanism of each part was analyzed. The mutual influence degree of each barrier factor that affects the green building promotion was quantitatively analysed and key factors for the development of green building in China were also finally determined. In addition, some implementation strategies of promoting green building scale development in our country were put forward. This research will show important reference value and practical value for making policies of the green building promotion.

FACTORS ASSOCIATED WITH VISUAL OUTCOME AFTER MACULA-OFF RHEGMATOGENOUS RETINAL DETACHMENT SURGERY.

Science.gov (United States)

Park, Dae Hyun; Choi, Kyung Seek; Sun, Hae Jung; Lee, Sung Jin

2018-01-01

To evaluate preoperative factors influencing the visual outcome and postoperative factors associated with the changes in visual acuity, after reattachment surgery to treat macula-off rhegmatogenous retinal detachment. A total of 180 eyes of 180 patients who underwent reattachment surgery to treat macula-off rhegmatogenous retinal detachment, and who were followed up for more than 12 months, were reviewed retrospectively. Preoperative and postoperative characteristics, including optical coherence tomography findings, were comprehensively analyzed using univariate and multivariate models to evaluate preoperative factors influencing best-corrected visual acuity 12 months after macula-off rhegmatogenous retinal detachment surgery and postoperative factors associated with changes in best-corrected visual acuity after surgery. Preoperatively, the extent of detachment (P = 0.037), macula-off duration (P macula-off rhegmatogenous retinal detachment surgery were the extent of detachment, macula-off duration, and external limiting membrane integrity. Postoperatively, predictive factors were the outer retinal microstructures, particularly the photoreceptor outer segment layer.

Factors Influencing Consumer Behavior Towards Online Shopping in Saudi Arabia

Directory of Open Access Journals (Sweden)

Hani A

2015-08-01

Full Text Available This study intends to identify factors that may affect consumer behavior in Saudi Arabia while shopping online. Although Saudi Arabia has the largest and fastest growing ICT in the Middle East and the online shopping activities in Saudi are increasing rapidly, it is still lagging behind the global development. The four factors–website design quality, perceived trust, perceived convenience and advertisements & promotions were selected from the available literature. A survey was conducted and questionnaire that includes 25 questions was distributed randomly to a sample of 107 participants in Dammam city (in the Eastern Province of the kingdom. The collected data was analyzed by using SPSS software. The result indicates one hypothesis has been accepted. The findings of the study are analyzed and discussed further at the end of this paper.

Analyzing Strategic Business Rules through Simulation Modeling

Science.gov (United States)

Orta, Elena; Ruiz, Mercedes; Toro, Miguel

Service Oriented Architecture (SOA) holds promise for business agility since it allows business process to change to meet new customer demands or market needs without causing a cascade effect of changes in the underlying IT systems. Business rules are the instrument chosen to help business and IT to collaborate. In this paper, we propose the utilization of simulation models to model and simulate strategic business rules that are then disaggregated at different levels of an SOA architecture. Our proposal is aimed to help find a good configuration for strategic business objectives and IT parameters. The paper includes a case study where a simulation model is built to help business decision-making in a context where finding a good configuration for different business parameters and performance is too complex to analyze by trial and error.

Risk and Protective Factors for Intimate Partner Violence Against Women: Systematic Review and Meta-analyses of Prospective-Longitudinal Studies.

Science.gov (United States)

Yakubovich, Alexa R; Stöckl, Heidi; Murray, Joseph; Melendez-Torres, G J; Steinert, Janina I; Glavin, Calla E Y; Humphreys, David K

2018-07-01

The estimated lifetime prevalence of physical or sexual intimate partner violence (IPV) is 30% among women worldwide. Understanding risk and protective factors is essential for designing effective prevention strategies. To quantify the associations between prospective-longitudinal risk and protective factors and IPV and identify evidence gaps. We conducted systematic searches in 16 databases including MEDLINE and PsycINFO from inception to June 2016. The study protocol is registered with PROSPERO (CRD42016039213). We included published and unpublished studies available in English that prospectively analyzed any risk or protective factor(s) for self-reported IPV victimization among women and controlled for at least 1 other variable. Three reviewers were involved in study screening. One reviewer extracted estimates of association and study characteristics from each study and 2 reviewers independently checked a random subset of extractions. We assessed study quality with the Cambridge Quality Checklists. When studies investigated the same risk or protective factor using similar measures, we computed pooled odds ratios (ORs) by using random-effects meta-analyses. We summarized heterogeneity with I 2 and τ 2 . We synthesized all estimates of association, including those not meta-analyzed, by using harvest plots to illustrate evidence gaps and trends toward negative or positive associations. Of 18 608 studies identified, 60 were included and 35 meta-analyzed. Most studies were based in the United States. The strongest evidence for modifiable risk factors for IPV against women were unplanned pregnancy (OR = 1.66; 95% confidence interval [CI] = 1.20, 1.31) and having parents with less than a high-school education (OR = 1.55; 95% CI = 1.10, 2.17). Being older (OR = 0.96; 95% CI = 0.93, 0.98) or married (OR = 0.93; 95% CI = 0.87, 0.99) were protective. To our knowledge, this is the first systematic, meta-analytic review of all risk and

Development of human factors evaluation techniques for nuclear power plants

International Nuclear Information System (INIS)

Oh, I.S.; Lee, Y.H.; Lee, J.W.; Sim, B.S.

1999-01-01

This paper describes development of an operator task simulation analyzer and human factors evaluation techniques performed recently at Korea Atomic Energy Research Institute. The first is the SACOM (Simulation Analyzer with a Cognitive Operator Model) for the assessment of task performance by simulating control room operation. The latter has two objectives: to establish a human factors experiment facility, the Integrated Test Facility (ITF), and to establish techniques for human factors experiments. (author)

An Analysis of Construction Accident Factors Based on Bayesian Network

OpenAIRE

Yunsheng Zhao; Jinyong Pei

2013-01-01

In this study, we have an analysis of construction accident factors based on bayesian network. Firstly, accidents cases are analyzed to build Fault Tree method, which is available to find all the factors causing the accidents, then qualitatively and quantitatively analyzes the factors with Bayesian network method, finally determines the safety management program to guide the safety operations. The results of this study show that bad condition of geological environment has the largest posterio...

Analyzing THE PLACE FOR THE EVENT-type Metonymies from the Perspective of Negative Evaluative Factors

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Nami Arimitsu

Full Text Available This paper has two objectives. First, by analyzing THE PLACE FOR THE EVENT-type metonymies, this paper points out that it is mainly negative events that are expressed by this type of metonymy. Second, this paper reveals the motivations of those THE PLACE FOR THE EVENT-type metonymies that express negative events. Metonymies are widely investigated along with the views of Lakoff and Johnson (1980, and their oppositional semantic aspects are pointed out by Voßhagen (1999. However, none of the previous studies focused on the nature of THE PLACE FOR THE EVENT-type metonymies from the perspective of negative evaluation, euphemism, and politeness. "Let's not let Thailand become another Vietnam" expresses the Vietnam War and all the tragedies behind it. Speakers refrain from expressing negative evaluative aspects from a euphemistic perspective and try to behave politely through hiding the exact expression, and listeners can also easily understand THE PLACE FOR THE EVENT-type metonymies that express negative events, since negative events are much more highly marked and intensified, as well as more prominent, than are positive ones.

MDTRA: a molecular dynamics trajectory analyzer with a graphical user interface.

Science.gov (United States)

Popov, Alexander V; Vorobjev, Yury N; Zharkov, Dmitry O

2013-02-05

Most of existing software for analysis of molecular dynamics (MD) simulation results is based on command-line, script-guided processes that require the researchers to have an idea about programming language constructions used, often applied to the one and only product. Here, we describe an open-source cross-platform program, MD Trajectory Reader and Analyzer (MDTRA), that performs a large number of MD analysis tasks assisted with a graphical user interface. The program has been developed to facilitate the process of search and visualization of results. MDTRA can handle trajectories as sets of protein data bank files and presents tools and guidelines to convert some other trajectory formats into such sets. The parameters analyzed by MDTRA include interatomic distances, angles, dihedral angles, angles between planes, one-dimensional and two-dimensional root-mean-square deviation, solvent-accessible area, and so on. As an example of using the program, we describe the application of MDTRA to analyze the MD of formamidopyrimidine-DNA glycosylase, a DNA repair enzyme from Escherichia coli. Copyright © 2012 Wiley Periodicals, Inc.

Noise and analyzer-crystal angular position analysis for analyzer-based phase-contrast imaging

Science.gov (United States)

Majidi, Keivan; Li, Jun; Muehleman, Carol; Brankov, Jovan G.

2014-04-01

The analyzer-based phase-contrast x-ray imaging (ABI) method is emerging as a potential alternative to conventional radiography. Like many of the modern imaging techniques, ABI is a computed imaging method (meaning that images are calculated from raw data). ABI can simultaneously generate a number of planar parametric images containing information about absorption, refraction, and scattering properties of an object. These images are estimated from raw data acquired by measuring (sampling) the angular intensity profile of the x-ray beam passed through the object at different angular positions of the analyzer crystal. The noise in the estimated ABI parametric images depends upon imaging conditions like the source intensity (flux), measurements angular positions, object properties, and the estimation method. In this paper, we use the Cramér-Rao lower bound (CRLB) to quantify the noise properties in parametric images and to investigate the effect of source intensity, different analyzer-crystal angular positions and object properties on this bound, assuming a fixed radiation dose delivered to an object. The CRLB is the minimum bound for the variance of an unbiased estimator and defines the best noise performance that one can obtain regardless of which estimation method is used to estimate ABI parametric images. The main result of this paper is that the variance (hence the noise) in parametric images is directly proportional to the source intensity and only a limited number of analyzer-crystal angular measurements (eleven for uniform and three for optimal non-uniform) are required to get the best parametric images. The following angular measurements only spread the total dose to the measurements without improving or worsening CRLB, but the added measurements may improve parametric images by reducing estimation bias. Next, using CRLB we evaluate the multiple-image radiography, diffraction enhanced imaging and scatter diffraction enhanced imaging estimation techniques

Noise and analyzer-crystal angular position analysis for analyzer-based phase-contrast imaging

International Nuclear Information System (INIS)

Majidi, Keivan; Brankov, Jovan G; Li, Jun; Muehleman, Carol

2014-01-01

The analyzer-based phase-contrast x-ray imaging (ABI) method is emerging as a potential alternative to conventional radiography. Like many of the modern imaging techniques, ABI is a computed imaging method (meaning that images are calculated from raw data). ABI can simultaneously generate a number of planar parametric images containing information about absorption, refraction, and scattering properties of an object. These images are estimated from raw data acquired by measuring (sampling) the angular intensity profile of the x-ray beam passed through the object at different angular positions of the analyzer crystal. The noise in the estimated ABI parametric images depends upon imaging conditions like the source intensity (flux), measurements angular positions, object properties, and the estimation method. In this paper, we use the Cramér–Rao lower bound (CRLB) to quantify the noise properties in parametric images and to investigate the effect of source intensity, different analyzer-crystal angular positions and object properties on this bound, assuming a fixed radiation dose delivered to an object. The CRLB is the minimum bound for the variance of an unbiased estimator and defines the best noise performance that one can obtain regardless of which estimation method is used to estimate ABI parametric images. The main result of this paper is that the variance (hence the noise) in parametric images is directly proportional to the source intensity and only a limited number of analyzer-crystal angular measurements (eleven for uniform and three for optimal non-uniform) are required to get the best parametric images. The following angular measurements only spread the total dose to the measurements without improving or worsening CRLB, but the added measurements may improve parametric images by reducing estimation bias. Next, using CRLB we evaluate the multiple-image radiography, diffraction enhanced imaging and scatter diffraction enhanced imaging estimation techniques

Lightweight object oriented structure analysis: tools for building tools to analyze molecular dynamics simulations.

Science.gov (United States)

Romo, Tod D; Leioatts, Nicholas; Grossfield, Alan

2014-12-15

LOOS (Lightweight Object Oriented Structure-analysis) is a C++ library designed to facilitate making novel tools for analyzing molecular dynamics simulations by abstracting out the repetitive tasks, allowing developers to focus on the scientifically relevant part of the problem. LOOS supports input using the native file formats of most common biomolecular simulation packages, including CHARMM, NAMD, Amber, Tinker, and Gromacs. A dynamic atom selection language based on the C expression syntax is included and is easily accessible to the tool-writer. In addition, LOOS is bundled with over 140 prebuilt tools, including suites of tools for analyzing simulation convergence, three-dimensional histograms, and elastic network models. Through modern C++ design, LOOS is both simple to develop with (requiring knowledge of only four core classes and a few utility functions) and is easily extensible. A python interface to the core classes is also provided, further facilitating tool development. © 2014 Wiley Periodicals, Inc.

Human Factors in Accidents Involving Remotely Piloted Aircraft

Science.gov (United States)

Merlin, Peter William

2013-01-01

This presentation examines human factors that contribute to RPA mishaps and provides analysis of lessons learned. RPA accident data from U.S. military and government agencies were reviewed and analyzed to identify human factors issues. Common contributors to RPA mishaps fell into several major categories: cognitive factors (pilot workload), physiological factors (fatigue and stress), environmental factors (situational awareness), staffing factors (training and crew coordination), and design factors (human machine interface).

The COG database: an updated version includes eukaryotes

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Sverdlov Alexander V

2003-09-01

Full Text Available Abstract Background The availability of multiple, essentially complete genome sequences of prokaryotes and eukaryotes spurred both the demand and the opportunity for the construction of an evolutionary classification of genes from these genomes. Such a classification system based on orthologous relationships between genes appears to be a natural framework for comparative genomics and should facilitate both functional annotation of genomes and large-scale evolutionary studies. Results We describe here a major update of the previously developed system for delineation of Clusters of Orthologous Groups of proteins (COGs from the sequenced genomes of prokaryotes and unicellular eukaryotes and the construction of clusters of predicted orthologs for 7 eukaryotic genomes, which we named KOGs after eukaryotic orthologous groups. The COG collection currently consists of 138,458 proteins, which form 4873 COGs and comprise 75% of the 185,505 (predicted proteins encoded in 66 genomes of unicellular organisms. The eukaryotic orthologous groups (KOGs include proteins from 7 eukaryotic genomes: three animals (the nematode Caenorhabditis elegans, the fruit fly Drosophila melanogaster and Homo sapiens, one plant, Arabidopsis thaliana, two fungi (Saccharomyces cerevisiae and Schizosaccharomyces pombe, and the intracellular microsporidian parasite Encephalitozoon cuniculi. The current KOG set consists of 4852 clusters of orthologs, which include 59,838 proteins, or ~54% of the analyzed eukaryotic 110,655 gene products. Compared to the coverage of the prokaryotic genomes with COGs, a considerably smaller fraction of eukaryotic genes could be included into the KOGs; addition of new eukaryotic genomes is expected to result in substantial increase in the coverage of eukaryotic genomes with KOGs. Examination of the phyletic patterns of KOGs reveals a conserved core represented in all analyzed species and consisting of ~20% of the KOG set. This conserved portion of the

Distinguishing sliding area by decision analyzing with remote sensing image and lidar data combined

Science.gov (United States)

Chang, Chia-Hao; Wu, Jee-Cheng

2017-10-01

Every year people in Taiwan have been facing earthquake and typhoon nature disaster challenges which are seriously affecting the people's lives and property. During summer season typhoons bring abundant rainfall resulting in landslides and debris flows. Because the landslide attributes to several environmental factors, we could monitor and analyze endangered areas to prevent damages. In this study Taiwan Provincial Highway 14 branch at 34K 38K+500m is chosen, which has devastated by Earthquake 921 and Typhoon Mindulle. A decision analysis is conducted by utilizing combined ortho-photo and LiDAR Digital Elevation Model (DEM) data to classify landslide areas. The result showed that the performance of overall accuracy could be increased when terrain factors are considered.

Personality factors as predictors of foreign language aptitude

Directory of Open Access Journals (Sweden)

Adriana Biedroń

2011-12-01

Full Text Available The study addresses a problem which is inadequately investigated in second language acquisition research, that is, personality predictors of foreign language aptitude. Specifically, it focuses on the Five Factor model which includes Openness to Experience, Conscientiousness, Extraversion, Agreeableness and Neuroticism (Costa & McCrae, 1992 as traits differentiating gifted and nongifted foreign language learners and predicting results of foreign language aptitude tests. Although contemporary researchers generally agree that affect is an important variable in second language acquisition, most empirical studies demonstrate that personality factors are weakly correlated with cognitive abilities and that their contribution to the ultimate attainment is minor (cf. Robinson & Ellis, 2008. On the other hand, these factors constitute an integral part of cognitive ability development (cf. Dörnyei, 2009; therefore, neglecting them in research on foreign language aptitude would be unjustified. The following study is an attempt to analyze the Five Factors in two groups of learners: gifted and nongifted. In order to answer the question as to which and to what extent personality factors have a predictive effect on foreign language aptitude, the results were subjected to a multiple regression analysis. The findings of the study are presented and discussed in a wider context of research on cognitive abilities.

The First 1000 Days of Life Factors Associated with "Childhood Asthma Symptoms": Brisa Cohort, Brazil.

Science.gov (United States)

Nascimento, Joelma Ximenes Prado Teixeira; Ribeiro, Cecilia Claudia Costa; Batista, Rosângela Fernandes Lucena; de Britto Alves, Maria Teresa Seabra Soares; Simões, Vanda Maria Ferreira; Padilha, Luana Lopes; Cardoso, Viviane Cunha; Vianna, Elcio Oliveira; Bettiol, Heloisa; Barbieri, Marco Antonio; Silva, Antônio Augusto Moura Da

2017-11-22

This prospective study used data from the BRISA Cohort, São Luís, Brazil (n = 1140) and analyzed associations between environmental factors up to the first 1000 days of life and "Childhood Asthma Symptoms". "Childhood Asthma Symptoms" was a latent variable based on the number of wheezing episodes, emergency care visit due to wheezing, diagnosis of asthma and diagnosis of rhinitis. A theoretical model that included prenatal factors (socioeconomic status, pregestational body mass index-BMI, soft drink and junk food consumption), birth factors (gestational age, smoking and diseases during pregnancy, birth weight and type of delivery), first year of life factors (breastfeeding, environmental aeroallergens and respiratory diseases) and BMI z-score in the second year of life, was analyzed by structural equation modeling. High pregestational BMI, high soft drink consumption, cesarean section without labor, chill in the first three months of life, carpeted floor and child's exposure to tobacco were associated with higher values of "Childhood Asthma Symptoms". In contrast, high birth weight, breastfeeding and infant's age were associated with lower values of "Childhood Asthma Symptoms". These findings support the hypothesis that environmental factors that are present before conception and up to the first 1000 days of life are associated with asthma.

Factors Associated with Road Accidents among Brazilian Motorcycle Couriers

Science.gov (United States)

da Silva, Daniela Wosiack; de Andrade, Selma Maffei; Soares, Dorotéia Fátima Pelissari de Paula; Mathias, Thais Aidar de Freitas; Matsuo, Tiemi; de Souza, Regina Kazue Tanno

2012-01-01

The objective of the study was to identify factors associated with reports of road accidents, among motorcycle couriers in two medium-sized municipalities in southern Brazil. A self-administered questionnaire was answered by motorcycle couriers that had worked for at least 12 months in this profession. The outcomes analyzed were reports on accidents and serious accidents over the 12 months prior to the survey. Bivariate and multivariate analyses by means of logistic regression were carried out to investigate factors that were independently associated with the outcomes. Seven hundred and fifty motorcycle couriers, of mean age 29.5 years (standard deviation = 8.1 ), were included in the study. Young age (18 to 24 years compared to ≥25 years, odds ratio [OR] = 1.77) speeding (OR = 1.48), and use of cell phones while driving (OR = 1.43) were factors independently associated with reports of accidents. For serious accidents, there was an association with alternation of work shifts (OR = 1.91) and speeding (OR = 1.67). The characteristics associated with accidents—personal (young age), behavioral (use of cell phones while driving and speeding), and professional (speeding and alternation of work shifts)—reveal the need to adopt wide-ranging strategies to reduce these accidents, including better work conditions for these motorcyclists. PMID:22629158

A survey on critical factors influencing new advertisement methods

Directory of Open Access Journals (Sweden)

Naser Azad

2013-02-01

Full Text Available Soft drink beverages are important part of many people’s foods and many prefer soft drink to water when they have dinner. Therefore, this business model can be considered as the longest lasting sector for many years and there has been not much change in these products. However, new methods of advertisement play important role for increasing market share. In this paper, we study the impact of new methods of advertisement in product development. The proposed study of this paper designs a questionnaire for one of Iranian soft drink producers, which consisted of 274 questions in Likert scale and uses factor analysis (FA to analyze the results. The study selects 250 people who live in city of Tehran, Iran and Cronbach alpha has been calculated as 0.88, which is well above the minimum desirable limit. According to our results, there were six important factors impacting in product development, including modern advertisement techniques, emotional impact, strategy of market leadership, pricing strategy, product life chain and supply entity. The most important factor loading in these six components include impact of social values, persuading unaware and uninformed customers, ability to monopolizing in production, improving pricing techniques, product life cycle and negative impact of high advertisement.

Factors associated with road accidents among Brazilian motorcycle couriers.

Science.gov (United States)

da Silva, Daniela Wosiack; de Andrade, Selma Maffei; Soares, Dorotéia Fátima Pelissari de Paula; Mathias, Thais Aidar de Freitas; Matsuo, Tiemi; de Souza, Regina Kazue Tanno

2012-01-01

The objective of the study was to identify factors associated with reports of road accidents, among motorcycle couriers in two medium-sized municipalities in southern Brazil. A self-administered questionnaire was answered by motorcycle couriers that had worked for at least 12 months in this profession. The outcomes analyzed were reports on accidents and serious accidents over the 12 months prior to the survey. Bivariate and multivariate analyses by means of logistic regression were carried out to investigate factors that were independently associated with the outcomes. Seven hundred and fifty motorcycle couriers, of mean age 29.5 years (standard deviation = 8.1 ), were included in the study. Young age (18 to 24 years compared to ≥ 25 years, odds ratio [OR] = 1.77) speeding (OR = 1.48), and use of cell phones while driving (OR = 1.43) were factors independently associated with reports of accidents. For serious accidents, there was an association with alternation of work shifts (OR = 1.91) and speeding (OR = 1.67). The characteristics associated with accidents-personal (young age), behavioral (use of cell phones while driving and speeding), and professional (speeding and alternation of work shifts)-reveal the need to adopt wide-ranging strategies to reduce these accidents, including better work conditions for these motorcyclists.

POST Traumatic Stress Disorder in Emergency Workers: Risk Factors and Treatment

Science.gov (United States)

Argentero, Piergiorgio; Dell'Olivo, Bianca; Setti, Ilaria

Post traumatic stress disorder (PTSD) are emergent phenomena resulting from exposure to a traumatic event that causes actual or threatened death or injury and produces intense fear, helplessness, or horror. In order to assess the role of different factors contributing to this kind of emergent phenomenon prevalence rates across gender, cultures, and samples exposed to different traumas are examined. Risk factors for PTSD, including pre-existing individual-based factors, features of the traumatic event, and post-trauma interventions are examined as well. Several characteristics of the trauma, related to cognitions, post-trauma social support and therapeutic interventions for PTSD are also considered. Further work is needed in order to analyze the inter-relationships among these factors and underlying mechanisms. The chaotic nature of traumatic processes, the multiple and interactive impacts on traumatic events require a comprehensive perspective aimed at planning effective interventions. Treatment outcome studies recommended the combined use of training and therapies as first-line treatment for PTSD.

Protective and risk factors for toxocariasis in children from two different social classes of Brazil.

Science.gov (United States)

Santarém, Vamilton Alvares; Leli, Flávia Noris Chagas; Rubinsky-Elefant, Guita; Giuffrida, Rogério

2011-01-01

The aim of this study was to analyze the prevalence of Toxocara spp. antibodies in children from two different socioeconomic classes in the Presidente Prudente municipality, São Paulo State, Brazil, and the protective and risk factors associated with toxocariasis. One hundred and twenty-six middle-class (MC) and 126 disadvantaged children (DC) were included in this study. Anti-Toxocara ELISA test was performed in order to evaluate seroprevalence. A survey was applied to the children's guardians/parents in order to analyze the protective and risk factors. The overall prevalence was 11.1%, and of 9.5% (12/126) and 12.7% (16/126) for MC and DC subgroups, respectively. Toxocara seropositivity was inversely proportional to the family income. A high household income was considered a protective factor for toxocariasis in the total population and in both MC and DC subgroups. Being a girl was considered a protective factor for the total population and for both subgroups. Whilst being an owner of cat was a risk factor for children belonging to the total and for both MC and DC subgroups, having dog was considered as a risk factor for only the MC. Epidemiologic protective/factor risks can be distinct depending on the strata of the same population. Thus, it is relevant to evaluate these factors independently for different socioeconomic classes in order to design future investigations and programs for preventing the infection of human beings by Toxocara spp. and other geohelminths.

The Use of Twitter by Radiology Journals: An Analysis of Twitter Activity and Impact Factor.

Science.gov (United States)

Kelly, Brendan S; Redmond, Ciaran E; Nason, Gregory J; Healy, Gerard M; Horgan, Niall A; Heffernan, Eric J

2016-11-01

Medical journals use social media as a means to disseminate new research and interact with readers. The microblogging site Twitter is one such platform. The aim of this study was to analyze the recent use of Twitter by the leading radiology journals. The top 50 journals by Impact Factor were included. Twitter profiles associated with these journals, or their corresponding societies, were identified. Whether each journal used other social media platforms was also recorded. Each Twitter profile was analyzed over a one-year period, with data collected via Twitonomy software. Klout scores of social media influence were calculated. Results were analyzed in SPSS using Student's t test, Fisher contingency tables, and Pearson correlations to identify any association between social media interaction and Impact Factors of journals. Fourteen journals (28%) had dedicated Twitter profiles. Of the 36 journals without dedicated Twitter profiles, 25 (50%) were associated with societies that had profiles, leaving 11 (22%) journals without a presence on Twitter. The mean Impact Factor of all journals was 3.1 ± 1.41 (range, 1.7-6.9). Journals with Twitter profiles had higher Impact Factors than those without (mean, 3.37 vs 2.14; P Twitter profiles and those associated with affiliated societies (P = .47). Since joining Twitter, 7 of the 11 journals (64%) experienced increases in Impact Factor. A greater number of Twitter followers was correlated with higher journal Impact Factor (R 2  = 0.581, P = .029). The investigators assessed the prevalence and activity of the leading radiology journals on Twitter. Radiology journals with Twitter profiles have higher Impact Factors than those without profiles, and the number of followers of a journal's Twitter profile is positively associated with Impact Factor. Copyright © 2016 American College of Radiology. Published by Elsevier Inc. All rights reserved.

Ergonomics as aid tool to identify and to analyze factors that can affect the operational performance of nuclear power plants

International Nuclear Information System (INIS)

Luquetti Santos, I.J.A.; Carvalho, P.V.R.

2005-01-01

The study of ergonomics has evolved around the world as one of the keys to understand human behavior in interaction with complex systems as nuclear power plant and to achieve the best match between the system and its users in the context of task to be performed. Increasing research efforts have yielded a considerable body of knowledge concerning the design of workstations, workplace, control rooms, human-system interfaces, user-interface interaction and organizational design to prevent worker discomfort, illness and also to improve productivity, product quality, ease of use and safety. The work ergonomics analysis consists of gathering a series of observation in order to better understand the work done and to propose changes and improvements in the working conditions. The work ergonomics analysis implies both the correction of existing situations (safety, reliability and production problems) and the development of new work system. Operator activity analysis provides a useful tool for the ergonomics approach, based on work ergonomics analysis. The operators will be systematically observed in their real work environment (control room) or in simulators. The focus is on description of the distributed regulated mechanisms (in the sense that operators work in crew), both in nominal and degraded situations, observing how operators regulate collectively their work during an increase in workload or when confronted with situations where incidents or accidents occur. Audio, video recorders and field notes can be used to collect empirical data, conversations and interactions that occur naturally within the work environment. Our research develops an applied ergonomics methodology, based on field studies, that permits to identify and analyze situations, factors that may affect the operational performance of nuclear power plants. Our contribution is related to the following technical topic: How best to learn from and share operational safety experience and manage changes during

General considerations concerning the use of the X-ray analyzer RALE in industry

International Nuclear Information System (INIS)

Mueller, D.; Morgenstern, P.; Riedel, W.

1983-01-01

The X-ray analyzer RALE for light elements was tested under laboratory conditions. Particularities of X-ray analysis concerning the use of the proportional scintillation detector for X-radiation and an alpha particle source for excitation are described. The performance of the analyzer was estimated. The results demonstrate that this analyzer will be of great advantage for solution of many analytical problems in industry. This is illustrated by means of any applications concerning the determination of concentration power engineering of elements and the thickness of thin layers in the field of power engineering including nuclear power engineering as well as in the field of metallurgy. The essential advantage of this analytical method consists in the extention of X-ray analysis to the region of elements with low atomic numbers. (author)

EFFECTS OF NEUTRINO ELECTROMAGNETIC FORM FACTORS ON NEUTRINO INTERACTION WITH FINITE TEMPERATURE ELECTRON MATTERS

Directory of Open Access Journals (Sweden)

Anto Sulaksono

2011-11-01

Full Text Available The differential cross-section of neutrino interaction with dense and warm electron gasses has been calculated by takinginto account the neutrino electromagnetic form factors. The significant effect of electromagnetic properties of neutrinocan be found if the neutrino dipole moment, μ ν , is ≥ 5.10-9 μB and neutrino charge radius, Rv, is ≥ 5.10-6 MeV-1. Theimportance of the retarded correction, detailed balance and Pauli blocking factors is shown and analyzed. Many-bodyeffects on the target matter which are included via random phase approximation (RPA correlation as well as photoneffective mass are also investigated.

A Factor Analysis of The Social Interest Index--Revised.

Science.gov (United States)

Zarski, John J.; And Others

1983-01-01

Factor analyzed the Social Interest Index-Revised (SII-R), which measures levels of social interest attained in each of four life task areas. Four factors (N=308) were defined, i.e., a self-significance factor, a love factor, a friendship factor, and a work factor. Results support the empirical validity of the scale. (Author/PAS)

Analysis of extrinsic and intrinsic factors that predispose elderly individuals to fall.

Science.gov (United States)

Almeida, Sionara Tamanini de; Soldera, Cristina Loureiro Chaves; Carli, Geraldo Attilio de; Gomes, Irênio; Resende, Thais de Lima

2012-01-01

In a sample of elderly individuals from Porto Alegre - RS, Brazil, to analyze the intrinsic and extrinsic factors that predispose them to the risk of falls and fractures. The study included a random sample of 267 elderly individuals, to whom two balance tests were applied: the Functional Reach Test (FRT) and the Timed Up and Go Test (TUG). The elderly also answered a questionnaire (13 questions divided into four categories) on sociodemographic and health factors. Elderly individuals from both genders (76.8% women), aged between 60 and 90 years (mean = 70.22 years, SD = ± 7.30 years) participated in the study. A statistically significant association (p factors that predispose to the risk of falls and fractures are older age, poor self-perception of eyesight, and poor selfrated health; the extrinsic factors are type of dwelling (living in a house) and a monthly income < one minimum wage.

The Electro-Excitation Form Factors for Ground and 5.65 MeV Excited States of 6Li Nucleus

International Nuclear Information System (INIS)

Dakhil, Z.A.; Salih, L.; Al-Qazaz, B.S.

2010-01-01

The transverse electron scattering form factors are calculated for the ground state and for the (5.65 MeV) excited state [JπT =1 + 2 0 ] of 6 Li. These form factors are analyzed in the framework of the harmonic oscillator shell model. The two-body interaction of Cohen and Kurath is used to generate the p-shell wave functions. The core polarization effects are included in the calculations through effective g-factors. A higher configuration effect outside the 1p-shell model space enhances the form factors for q-values and reasonably reproduces the data. The results are compared with other theoretical models

Human Factors in Financial Trading

Science.gov (United States)

Leaver, Meghan; Reader, Tom W.

2016-01-01

Objective This study tests the reliability of a system (FINANS) to collect and analyze incident reports in the financial trading domain and is guided by a human factors taxonomy used to describe error in the trading domain. Background Research indicates the utility of applying human factors theory to understand error in finance, yet empirical research is lacking. We report on the development of the first system for capturing and analyzing human factors–related issues in operational trading incidents. Method In the first study, 20 incidents are analyzed by an expert user group against a referent standard to establish the reliability of FINANS. In the second study, 750 incidents are analyzed using distribution, mean, pathway, and associative analysis to describe the data. Results Kappa scores indicate that categories within FINANS can be reliably used to identify and extract data on human factors–related problems underlying trading incidents. Approximately 1% of trades (n = 750) lead to an incident. Slip/lapse (61%), situation awareness (51%), and teamwork (40%) were found to be the most common problems underlying incidents. For the most serious incidents, problems in situation awareness and teamwork were most common. Conclusion We show that (a) experts in the trading domain can reliably and accurately code human factors in incidents, (b) 1% of trades incur error, and (c) poor teamwork skills and situation awareness underpin the most critical incidents. Application This research provides data crucial for ameliorating risk within financial trading organizations, with implications for regulation and policy. PMID:27142394

Analyzing Human Behaviour Toward Food Waste in Qatar

Science.gov (United States)

A Hussain, Shaema Mohd Hassan

Food waste is a major issue in many countries due to the impact of waste on the environment and the cost of producing food and water. Food waste not only constitutes a hazard to the environment through the emission of greenhouse gases, but billions of dollars are also lost as a result of production, distribution and waste management costs. In view of this, this study examined factors that have potential to influence intent to waste food and food waste behavior among consumers in Qatar. The main objective of the study was to find a suitable model that explains food waste behavior in Qatar and compare it to an international model in order to understand region specific factors and try to replicate a hypothesized model of the causal effects of some factors (i.e., subjective norm, perceived behavioral control, and personal attitude) on intent to waste food and food waste behavior. Three research questions were developed and answers were provided by random selection of 139 respondents from the Qatar Foundation and Georgetown University Qatar databases gathered through a survey with 139 complete questionnaires in order to test the hypothesized model, which was created based on literature. The Structural Equation Modelling (SEM) approach was the main statistical tool of the investigation and was used to carry out the path analysis. The findings of the study revealed that factors, including, planning routine, Ramadan, gender task, and personal norm were strong predictors of intention to waste food and food waste behavior.

Factor substitution and rebound effect in China’s food industry

International Nuclear Information System (INIS)

Lin, Boqiang; Xie, Xuan

2015-01-01

Highlights: • The basic information of China’s food industry is introduced in detail. • Inter-factor substitution relationship in China’s food industry is analyzed. • Direct rebound effect in the industry is measured. • Several relevant policy suggestions about energy conservation are provided. - Abstract: Energy efficiency improvement can reduce the energy consumption of an industry, and thus promote energy conservation. However, the reduction of effective energy prices caused by energy efficiency improvement will lower energy costs for enterprises, making them substitute energy for other input factors. Therefore, energy conservation brought about by efficiency improvement will be partly offset. This offset is called the energy rebound effect of an industry. This paper estimates the system of cost share equations in China’s food industry, analyzes the substitution relationship between each input factor, and calculates the direct rebound effect. The results show that: there exist substitution relationships between energy and other input factors, among which the substitution elasticity between energy and labor is the biggest, and the substitution of energy for capital dominates that of capital for energy. The direct rebound effect is approximately 34.39%, which means that about 34.39% of energy conservation caused by energy efficiency enhancement in the industry has been offset by the rebound effect. The paper proposes some policy suggestions on energy conservation according to the results of substitution relationship among input factors and the rebound effect of the industry. The policy suggestions include reducing the capital and labor costs of the food industry by decreasing financing costs of small businesses, optimizing personnel management, and rationalizing the energy pricing mechanism to form a reasonable energy price.

Hypothetical influence of non-indexed Spanish journals on the impact factor of radiological journals

International Nuclear Information System (INIS)

Miguel-Dasit, Alberto; Aleixandre, Rafael; Valderrama, Juan C.; Marti-Bonmati, Luis; Sanfeliu, Pilar

2005-01-01

Objective: The aim of this study was to analyze the hypothetical changes in the 2001 impact factor of 52 radiological journals included in the Science Citation Index-Journal Citation Reports by also counting cites proceeding from 73 Spanish journals on different medical specialties. Also, to estimate the possible impact factor of the official Spanish radiology journal, Radiologia, not included in this database. Materials and methods: A modified 2001 impact factor of 52 radiological journals and Radiologia was obtained by adding the number of cites in 1999 and 2000 from the medical Spanish journals. Data were obtained by consulting the 2001 edition of the Journal Citation Reports in the 'Web of Science' database. Results: The 16,985 bibliographical references were analysed (232 of them to radiological journals). The journal with the largest increase in its 2001 impact factor (from 1.83 to 1.90) was Radiologic Clinics of North America. European Journal of Radiology was the European journal with the highest increase (from 1.084 to 1.110) in the difference between the 2001 modified and original impact factor. The modified 2001 impact factor of the 34 American journals was statistically higher (P = 0.016) than that of the 18 European journals (1.64 versus 0.93). Differences between the 2001 modified and original impact factor were slightly higher in the American journals (no statistically significant difference). The 2001 impact factor of Radiologia was 0.056. Discussion: Differences between the 2001 original and modified impact factor were small, but larger in the American journals. The 2001 impact factor of Radiologia was modest, although similar to other publications included in the Journal Citation Reports

Artificial Intelligence Techniques for Automatic Screening of Amblyogenic Factors

Science.gov (United States)

Van Eenwyk, Jonathan; Agah, Arvin; Giangiacomo, Joseph; Cibis, Gerhard

2008-01-01

Purpose To develop a low-cost automated video system to effectively screen children aged 6 months to 6 years for amblyogenic factors. Methods In 1994 one of the authors (G.C.) described video vision development assessment, a digitizable analog video-based system combining Brückner pupil red reflex imaging and eccentric photorefraction to screen young children for amblyogenic factors. The images were analyzed manually with this system. We automated the capture of digital video frames and pupil images and applied computer vision and artificial intelligence to analyze and interpret results. The artificial intelligence systems were evaluated by a tenfold testing method. Results The best system was the decision tree learning approach, which had an accuracy of 77%, compared to the “gold standard” specialist examination with a “refer/do not refer” decision. Criteria for referral were strabismus, including microtropia, and refractive errors and anisometropia considered to be amblyogenic. Eighty-two percent of strabismic individuals were correctly identified. High refractive errors were also correctly identified and referred 90% of the time, as well as significant anisometropia. The program was less correct in identifying more moderate refractive errors, below +5 and less than −7. Conclusions Although we are pursuing a variety of avenues to improve the accuracy of the automated analysis, the program in its present form provides acceptable cost benefits for detecting ambylogenic factors in children aged 6 months to 6 years. PMID:19277222

A comparative analysis of foreign direct investment factors

OpenAIRE

Miškinis, Algirdas; Juozėnaitė, Ilma

2015-01-01

The paper identifies factors affecting the foreign direct investment (FDI) inflow. It analyzes the determinants of FDI in recent empirical evidence as well as determines differences among FDI factors in Greece, Ireland, and the Netherlands. The determinants being examined are the gross domestic product (GDP) per capita, exchange rate, unit labor costs, trade openness as well as inflation. The analyzed period is 1974–2012. Data were collected from the World Bank and the Organization for Econom...

Pretreatment prognostic Factors in Early Stage Carcinoma of the Uterine Cervix

International Nuclear Information System (INIS)

Kim, Mi Sook; Ha, Sung Whan

1992-01-01

From March 1979 through December 1986, 124 patients with early stage carcinoma of the uterine cervix received curative radiation therapy. According to FIGO classification, 35 patients were stage IB and 89 were stage IIA. In stage IB, five year locoregional control, five year disease A, five year locoregional control, five disease free survival, and five year overall survival were 78.0%, 66.8%, and 72.1%, respectively. To identify prognostic factor, pretreatment including age, ECOG performance status, number of pregnancies, history of diabetes mellitus and hypertension, histology, size and shape of primary tumor, CT findings and blood parameters were retrospectively analyzed in terms of locoregional control, disease free survival and overall survival using univariate analysis and multivariate analysis. In univariate analysis, tumor size on physical examination and rectal invasion on CT significantly affected locoregional control, disease free survival and overal survival. Parametrial involvement on CT was a significant prognostic factor on locoregional control and disease free survival. Hemoglobin level affected disease free survival and overall survival. Histology and age were significant pronostic factor on locoregional control. In multivariate analysis excluding CT finding, tumor size on physical examination was a significant factor in terms of locoregional control and overall survival. Hemoglobin level was significant in terms of disease free survival. In multivarate analysis including CT, histology was a prognostic factor on locoregional control and disease free survival. Hemoglobin level and rectal invasion on CT were significant factors on locoregional control

Remote Laser Diffraction PSD Analyzer

International Nuclear Information System (INIS)

Batcheller, T.A.; Huestis, G.M.; Bolton, S.M.

2000-01-01

Particle size distribution (PSD) analysis of radioactive slurry samples were obtained using a modified off-the-shelf classical laser light scattering particle size analyzer. A Horiba Instruments Inc. Model La-300 PSD analyzer, which has a 0.1 to 600 micron measurement range, was modified for remote application in a hot cell (gamma radiation) environment. The general details of the modifications to this analyzer are presented in this paper. This technology provides rapid and simple PSD analysis, especially down in the fine and microscopic particle size regime. Particle size analysis of these radioactive slurries down in this smaller range was not achievable - making this technology far superior than the traditional methods used previously. Remote deployment and utilization of this technology is in an exploratory stage. The risk of malfunction in this radiation environment is countered by gaining of this tremendously useful fundamental engineering data. Successful acquisition of this data, in conjunction with other characterization analyses, provides important information that can be used in the myriad of potential radioactive waste management alternatives

Remote Laser Diffraction PSD Analyzer

International Nuclear Information System (INIS)

Batcheller, Thomas Aquinas; Huestis, Gary Michael; Bolton, Steven Michael

2000-01-01

Particle size distribution (PSD) analysis of radioactive slurry samples were obtained using a modified ''off-the-shelf'' classical laser light scattering particle size analyzer. A Horiba Instruments Inc. Model La-300 PSD analyzer, which has a 0.1 to 600 micron measurement range, was modified for remote application in a ''hot cell'' (gamma radiation) environment. The general details of the modifications to this analyzer are presented in this paper. This technology provides rapid and simple PSD analysis, especially down in the fine and microscopic particle size regime. Particle size analysis of these radioactive slurries down in this smaller range was not achievable--making this technology far superior than the traditional methods used previously. Remote deployment and utilization of this technology is in an exploratory stage. The risk of malfunction in this radiation environment is countered by gaining of this tremendously useful fundamental engineering data. Successful acquisition of this data, in conjunction with other characterization analyses, provides important information that can be used in the myriad of potential radioactive waste management alternatives

Parental Factors Influencing the Development of Early Childhood Caries in Developing Nations: A Systematic Review

Directory of Open Access Journals (Sweden)

Nayanjot Kaur Rai

2018-03-01

Full Text Available BackgroundEarly childhood caries (ECC is one of the most prevalent and chronic conditions of childhood. Various factors including biological and dietary factors along with an overlay of parental social factors have been found to be associated with the progression of ECC. The objective of this systematic review is to synthesize available literature and to identify parent-level proximal and distal risk factors associated with the development of ECC in developing nations.MethodsStudies conducted in developing nations, published between 2005 and 2017 in English, that included children younger than 6 years and examined ECC were included. The outcome of interest were parental risk factors, which included parental knowledge, behavior, attitudes, sense of coherence (SOC, stress, socioeconomic status (SES, education, and breastfeeding duration. The studies were retrieved from MEDLINE, Ovid Medline, and PubMed.ResultsThe search yielded 325 studies, of which 18 were considered eligible for inclusion in this review. Ten studies found maternal education, and seven studies found parental education to be significantly associated with ECC. SES was significantly associated with ECC in 13 studies in the form of annual household income and occupation level. Four studies observed the significant association between oral health knowledge and attitudes with ECC, whereas only two studies found maternal attitude to be associated with ECC. Breastfeeding duration was a significant risk factor in four studies. One study each found significant associations of SOC, parental distress, and secondary smoke with ECC.ConclusionTo date, most of the researches done in developing countries have reported distal parental factors such as income and education being significant risk factors in caries development compared to proximal risk factors in low-income groups. Only a few studies analyzed the psychosocial and behavioral factors. Interventions could be designed to improve

Characterization of gold mineralizations of Cuba by means of scanning electron microscopy with X-ray analyzer and con focal Raman microscopy

International Nuclear Information System (INIS)

Toledo Sanchez, Carlos Alfredo; Santa Cruz Pacheco, Maria; Lopez Kramer, Jesus M.; Lisabet Sarracen, Evelio; Aguirre Guillot, Graciela; Capote Marrero, Carbeny; Llanes Castro, Angelica I.; Milia Gonzalez, Ines

2016-01-01

The technology selection for gold ore processing requires the characterization, not only of the gold carrier minerals but also its associations, so it is necessary to find out the mineral nature, morphology, particle size, purity and gold concentration, other factors to consider are liberation grade, minerals in association, surface accessibility and form to present themselves. In this research it is exposed the utilization of the optical and electron microscopy, with Raman and X ray micro analyzers, in order to obtain useful information about different gold mineralization of the country, including those of Delita, Meloneras-Descanso, Oro Jacinto and Oro Barita. It describes how the scanning electron microscopy with x-ray analyzer allowed the study of gold particles from nanometer order, determining its size, morphology, surface condition and purity. It was found that in some places the gold grains have a purity exceeding 99%, while in others the content of silver, copper and mercury are increasing, surpassing gold just 30% in some cases, resulting in other mineralogical forms. It was also observed variability in the degree of release of the gold particles. Moreover Raman con focal microscope allowed analyzes minerals micrometric volumes under study, particularly rock-forming. Being a structural technique, it was possible to identify minerals without causing damage to the samples, which usually is not achieved with other techniques. (Author)

Factors and factorizations of graphs proof techniques in factor theory

CERN Document Server

Akiyama, Jin

2011-01-01

This book chronicles the development of graph factors and factorizations. It pursues a comprehensive approach, addressing most of the important results from hundreds of findings over the last century. One of the main themes is the observation that many theorems can be proved using only a few standard proof techniques. This stands in marked contrast to the seemingly countless, complex proof techniques offered by the extant body of papers and books. In addition to covering the history and development of this area, the book offers conjectures and discusses open problems. It also includes numerous explanatory figures that enable readers to progressively and intuitively understand the most important notions and proofs in the area of factors and factorization.

Vitamin D deficiency in children with chronic illnesses: Predisposing and protecting factors

OpenAIRE

Koskivirta, Panu

2011-01-01

This thesis assesses clinical differences in patients with low and high vitamin D levels. The factors analyzed included the underlying disease, body size, age, ethnic background, use of vitamin D supplements and the season when the blood sample was taken. Fifty patients with the lowest and 50 patients with the highest vitamin D concentrations were selected from a cohort of 1351 chronically ill children and adolescents who had had their vitamin D status assessed at Children's Hospital. Protect...

Risk factors of metabolic syndrome among food suppliers

Directory of Open Access Journals (Sweden)

Pasdar Yahya

2017-01-01

Full Text Available Introduction/Objective. As a risk factor for chronic diseases, metabolic syndrome (MS is increasing at an alarming rate. The prevalence of MS varies according to lifestyle and occupation in different populations. The present study aimed to determine the prevalence of MS and its components in food suppliers. Methods. A total of 112 food suppliers were randomly selected from all around the city. Data collection tools included demographic, physical activity, and food frequency questionnaires. Body composition was measured using Bio-Electrical Body Analyzer. A sample of 5 ml of fasting blood was taken from participants to assess lipid profile, blood sugar, insulin, and liver enzymes. The data were analyzed using χ2, Kolmogorov–Smirnov and ANOVA tests. Results. Participants’ mean BMI was 27.1 ± 3.9 kg/m2, 43.6% were overweight, and 26.4% were obese. Consumption of vegetables was less and of meats more than recommended amounts. The prevalence of MS was 45.5% (51 people, which increased with aging (p = 0.02. Among factors causing MS, the most common one was waist-to-hip ratio (WHR > 0.09 (72.7%, followed by high triglyceride and low HDL. Conclusion. In this study, the prevalence of MS among food suppliers was higher than the world average and than prevalence in other countries. WHR (or obesity was found to be the most important risk factor for MS. To reduce the risk of MS, changing dietary consumption habits and increased physical activity are recommended to persons with high risk and sedentary occupations.

Multi-Objective Dynamic Economic Dispatch of Microgrid Systems Including Vehicle-to-Grid

Directory of Open Access Journals (Sweden)

Haitao Liu

2015-05-01

Full Text Available Based on the characteristics of electric vehicles (EVs, this paper establishes the load models of EVs under the autonomous charging mode and the coordinated charging and discharging mode. Integrating the EVs into a microgrid system which includes wind turbines (WTs, photovoltaic arrays (PVs, diesel engines (DEs, fuel cells (FCs and a storage battery (BS, this paper establishes multi-objective economic dispatch models of a microgrid, including the lowest operating cost, the least carbon dioxide emissions, and the lowest pollutant treatment cost. After converting the multi-objective functions to a single objective function by using the judgment matrix method, we analyze the dynamic economic dispatch of the microgrid system including vehicle-to-grid (V2G with an improved particle swarm optimization algorithm under different operation control strategies. With the example system, the proposed models and strategies are verified and analyzed. Simulation results show that the microgrid system with EVs under the coordinated charging and discharging mode has better operation economics than the autonomous charging mode. Meanwhile, the greater the load fluctuation is, the higher the operating cost of the microgrid system is.

Differentiating between precursor and control variables when analyzing reasoned action theories.

Science.gov (United States)

Hennessy, Michael; Bleakley, Amy; Fishbein, Martin; Brown, Larry; Diclemente, Ralph; Romer, Daniel; Valois, Robert; Vanable, Peter A; Carey, Michael P; Salazar, Laura

2010-02-01

This paper highlights the distinction between precursor and control variables in the context of reasoned action theory. Here the theory is combined with structural equation modeling to demonstrate how age and past sexual behavior should be situated in a reasoned action analysis. A two wave longitudinal survey sample of African-American adolescents is analyzed where the target behavior is having vaginal sex. Results differ when age and past behavior are used as control variables and when they are correctly used as precursors. Because control variables do not appear in any form of reasoned action theory, this approach to including background variables is not correct when analyzing data sets based on the theoretical axioms of the Theory of Reasoned Action, the Theory of Planned Behavior, or the Integrative Model.

Installation and Testing of a Jorin Visual Process Analyzer

International Nuclear Information System (INIS)

Christensen, Kristi M.

2010-01-01

The Jorin Visual Process Analyzer (ViPA) is an on-line instrument that uses video microscope imaging to detect and measure the physical characteristics of dispersed objects within a process stream or laboratory sample. Object analysis is performed by capturing an on-going sequence of single frames from the video feed and relaying the images in real time to a nearby control computer where the ViPA software then processes and transfigures the information from the images into meaningful process data. The ViPA captures and analyzes approximately 15 images per second and continuously records 17 material parameters including size, shape and optical density. The ViPA software uses the measured parameters to differentiate between different classes of objects including organic droplets, gas bubbles, and solid particles. Procurement of this instrument provides a unique capability to support predictive modeling and further understanding of mass transfer during solvent extraction processes. Organic droplet data collected using the ViPA can be used to develop dispersion profiles of the liquid-liquid mixing and disengagements sections for each type of process equipment. These profiles will provide insight into mixing dynamics and will guide the prevention of emulsion formation that leads to system losses. Additionally, the measurement capabilities of the ViPA will provide the input needed to create new two-phase Computational Fluid Dynamics (CFD) models that characterize both mixing and separation operations in the various types of equipment. These models can then be used to improve process efficiency by optimizing operation parameters for each proposed extraction cycle.

Common Factors in International Bond Returns

NARCIS (Netherlands)

Driessen, J.J.A.G.; Melenberg, B.; Nijman, T.E.

2000-01-01

In this paper we estimate and interpret the factors that jointly determine bond returns of different maturities in the US, Germany and Japan.We analyze both currency-hedged and unhedged bond returns.For currency-hedged bond returns, we find that five factors explain 96.5% of the variation of bond

Ultraprecise parabolic interpolator for numerically controlled machine tools. [Digital differential analyzer circuit

Energy Technology Data Exchange (ETDEWEB)

Davenport, C. M.

1977-02-01

The mathematical basis for an ultraprecise digital differential analyzer circuit for use as a parabolic interpolator on numerically controlled machines has been established, and scaling and other error-reduction techniques have been developed. An exact computer model is included, along with typical results showing tracking to within an accuracy of one part per million.

Cognitive, personality, and social factors associated with adolescents' online personal information disclosure.

Science.gov (United States)

Liu, Cong; Ang, Rebecca P; Lwin, May O

2013-08-01

The current study aims to understand the factors that influence adolescents' disclosure of personally identifiable information (PII) on social networking sites (SNSs). A survey was conducted among 780 adolescent participants (between 13 and 18) who were Facebook users. Structural equation modeling was used for analyzing the data and obtaining an overarching model that include cognitive, personality, and social factors that influence adolescents' PII disclosure. Results showed privacy concern as the cognitive factor reduces adolescents' PII disclosure and it serves as a potential mediator for personality and social factors. Amongst personality factors, narcissism was found to directly increase PII disclosure, and social anxiety indirectly decreases PII disclosure by increasing privacy concern. Amongst social factors, active parental mediation decreases PII disclosure directly and indirectly by increasing privacy concern. Restrictive parental mediation decreases PII disclosure only indirectly by increasing privacy concern. Implications of the findings to parents, educators, and policy makers were discussed. Copyright © 2013 The Foundation for Professionals in Services for Adolescents. Published by Elsevier Ltd. All rights reserved.

Systematic review of renal carcinoma prognostic factors.

Science.gov (United States)

Lorente, D; Trilla, E; Meseguer, A; Planas, J; Placer, J; Celma, A; Salvador, C; Regis, L; Morote, J

2017-05-01

The natural history of renal cell carcinoma is heterogeneous. Some scenarios can be found in terms of clinical presentation, clinical evolution or type of recurrence (local/metastatic). The aim of this publication is to analyze the most important prognostic factors published in the literature. A literature review ob published papers was performed using the Pubmed, from first Motzer's classification published in 1999 to 2015, according to PRISMA declaration. Search was done using the following keywords: kidney neoplasm, kidney cancer, renal cell carcinoma, prognostic factors, mortality, survival and disease progression. Papers were classified according to level of evidence, the number of patients included and the type of study performed. The evolution in the knowledge of molecular pathways related to renal oncogenesis and the new targeted therapies has left to remain obsolete the old prognostic models. It's necessary to perform a continuous review to actualize nomograms and to adapt them to the new scenarios. Is necessary to perform a proper external validation of existing prognostic factors using prospective and multicentric studies to add them into the daily urologist clinical practice. Copyright © 2016 AEU. Publicado por Elsevier España, S.L.U. All rights reserved.