Translation: Aids, Robots, and Automation.

Science.gov (United States)

Andreyewsky, Alexander

1981-01-01

Examines electronic aids to translation both as ways to automate it and as an approach to solve problems resulting from shortage of qualified translators. Describes the limitations of robotic MT (Machine Translation) systems, viewing MAT (Machine-Aided Translation) as the only practical solution and the best vehicle for further automation. (MES)

Chiang Mai transit

DEFF Research Database (Denmark)

Ribeiro, Gustavo; Neitmann, Charlotte

2002-01-01

Urban development of Chang Mai, Thailands second largest city, seen in relation to its tourist based economy.......Urban development of Chang Mai, Thailands second largest city, seen in relation to its tourist based economy....

Machine translation

Energy Technology Data Exchange (ETDEWEB)

Nagao, M

1982-04-01

Each language has its own structure. In translating one language into another one, language attributes and grammatical interpretation must be defined in an unambiguous form. In order to parse a sentence, it is necessary to recognize its structure. A so-called context-free grammar can help in this respect for machine translation and machine-aided translation. Problems to be solved in studying machine translation are taken up in the paper, which discusses subjects for semantics and for syntactic analysis and translation software. 14 references.

A mathematical model for surface roughness of fluidic channels produced by grinding aided electrochemical discharge machining (G-ECDM

Directory of Open Access Journals (Sweden)

Ladeesh V. G.

2017-01-01

Full Text Available Grinding aided electrochemical discharge machining is a hybrid technique, which combines the grinding action of an abrasive tool and thermal effects of electrochemical discharges to remove material from the workpiece for producing complex contours. The present study focuses on developing fluidic channels on borosilicate glass using G-ECDM and attempts to develop a mathematical model for surface roughness of the machined channel. Preliminary experiments are conducted to study the effect of machining parameters on surface roughness. Voltage, duty factor, frequency and tool feed rate are identified as the significant factors for controlling surface roughness of the channels produced by G-ECDM. A mathematical model was developed for surface roughness by considering the grinding action and thermal effects of electrochemical discharges in material removal. Experiments are conducted to validate the model and the results obtained are in good agreement with that predicted by the model.

Respostas religiosas à aids no Brasil: impressões de pesquisa acerca da Pastoral de DST/Aids da Igreja Católica1

Science.gov (United States)

Seffner, Fernando; Silva, Cristiane Gonçalves Meireles da; Maksud, Ívia; Garcia, Jonathan; Rios, Luís Felipe; Natividade, Marcelo; Borges, Priscila Rodrigues; Parker, Richard; Terto, Veriano

2009-01-01

O texto encontra-se estruturado em quatro partes. Na primeira delas, apresentamos um conjunto de considerações e informações acerca da situação da aids no Brasil, das relações entre religião, sexualidade, aids e estado laico, bem como uma descrição mais clara do Projeto Respostas Religiosas ao HIV/Aids no Brasil, do qual este texto apresenta algumas impressões de pesquisa preliminares. A seguir, dedicamos um item a apresentação da Pastoral de DST/Aids, sua história, estrutura e objetivos. No item seguinte problematizamos diversas questões em particular no âmbito das relações Estado e Igreja, relações entre agentes de pastoral e hierarquia da Igreja, e questões ligadas mais diretamente à sexualidade e aids, todas referenciadas ao trabalho da Pastoral de DST/Aids. Ao final, apresentamos a bibliografia e fontes consultadas. PMID:20442806

Estimates of global HIV/AIDS mortality, prevalence and incidence rates, and their association with the Human Development Index

OpenAIRE

Kamyar Mansori; Erfan Ayubi; Fatemeh Khosravi Shadmani; Shiva Mansouri Hanis; Somayeh Khazaei; Mohadeseh Sani; Yousef Moradi; Salman Khazaei; Abolfazl Mohammadbeigi

2017-01-01

Background: HIV/AIDS is one of greatest global public health concerns today due to the high incidence, prevalence and mortality rates. The aim of this research was investigate and estimate the global HIV/AIDS mortality, prevalence and incidence rates, and explore their associations with the Human Development Index. Methods: The global age-standardized rates of mortality, prevalence and incidence of HIV/AIDS were obtained from the UNAIDS for different countries in 2015. The human developm...

National HIV/AIDS mortality, prevalence, and incidence rates are associated with the Human Development Index.

Science.gov (United States)

Lou, Li-Xia; Chen, Yi; Yu, Chao-Hui; Li, You-Ming; Ye, Juan

2014-10-01

HIV/AIDS is a worldwide threat to human health with mortality, prevalence, and incidence rates varying widely. We evaluated the association between the global HIV/AIDS epidemic and national socioeconomic development. We obtained global age-standardized HIV/AIDS mortality, prevalence, and incidence rates from World Health Statistics Report of the World Health Organization. The human development indexes (HDIs) of 141 countries were obtained from a Human Development Report. Countries were divided into 4 groups according to the HDI distribution. We explored the association between HIV/AIDS epidemic and HDI information using Spearman correlation analysis, regression analysis, and the Kruskal-Wallis test. HIV/AIDS mortality, prevalence, and incidence rates were inversely correlated with national HDI (r = -0.675, -0.519, and -0.398, respectively; P birth, mean years of schooling, expected years of schooling, and gross national income per capita). Low HDI countries had higher HIV/AIDS mortality, prevalence, and incidence rates than that of medium, high, and very high HDI countries. Quantile regression results indicated that HDI had a greater negative effect on the HIV/AIDS epidemic in countries with more severe HIV/AIDS epidemic. Less-developed countries are likely to have more severe HIV/AIDS epidemic. There is a need to pay more attention to HIV/AIDS control in less-developed countries, where lower socioeconomic status might have accelerated the HIV/AIDS epidemic more rapidly. Copyright © 2014 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.

Using Blood Indexes to Predict Overweight Statuses: An Extreme Learning Machine-Based Approach.

Directory of Open Access Journals (Sweden)

Huiling Chen

Full Text Available The number of the overweight people continues to rise across the world. Studies have shown that being overweight can increase health risks, such as high blood pressure, diabetes mellitus, coronary heart disease, and certain forms of cancer. Therefore, identifying the overweight status in people is critical to prevent and decrease health risks. This study explores a new technique that uses blood and biochemical measurements to recognize the overweight condition. A new machine learning technique, an extreme learning machine, was developed to accurately detect the overweight status from a pool of 225 overweight and 251 healthy subjects. The group included 179 males and 297 females. The detection method was rigorously evaluated against the real-life dataset for accuracy, sensitivity, specificity, and AUC (area under the receiver operating characteristic (ROC curve criterion. Additionally, the feature selection was investigated to identify correlating factors for the overweight status. The results demonstrate that there are significant differences in blood and biochemical indexes between healthy and overweight people (p-value < 0.01. According to the feature selection, the most important correlated indexes are creatinine, hemoglobin, hematokrit, uric Acid, red blood cells, high density lipoprotein, alanine transaminase, triglyceride, and γ-glutamyl transpeptidase. These are consistent with the results of Spearman test analysis. The proposed method holds promise as a new, accurate method for identifying the overweight status in subjects.

A neurite quality index and machine vision software for improved quantification of neurodegeneration.

Science.gov (United States)

Romero, Peggy; Miller, Ted; Garakani, Arman

2009-12-01

Current methods to assess neurodegradation in dorsal root ganglion cultures as a model for neurodegenerative diseases are imprecise and time-consuming. Here we describe two new methods to quantify neuroprotection in these cultures. The neurite quality index (NQI) builds upon earlier manual methods, incorporating additional morphological events to increase detection sensitivity for the detection of early degeneration events. Neurosight is a machine vision-based method that recapitulates many of the strengths of NQI while enabling high-throughput screening applications with decreased costs.

Fabrication Quality Analysis of a Fiber Optic Refractive Index Sensor Created by CO2 Laser Machining

Directory of Open Access Journals (Sweden)

Wei-Te Wu

2013-03-01

Full Text Available This study investigates the CO2 laser-stripped partial cladding of silica-based optic fibers with a core diameter of 400 μm, which enables them to sense the refractive index of the surrounding environment. However, inappropriate treatments during the machining process can generate a number of defects in the optic fiber sensors. Therefore, the quality of optic fiber sensors fabricated using CO2 laser machining must be analyzed. The results show that analysis of the fiber core size after machining can provide preliminary defect detection, and qualitative analysis of the optical transmission defects can be used to identify imperfections that are difficult to observe through size analysis. To more precisely and quantitatively detect fabrication defects, we included a tensile test and numerical aperture measurements in this study. After a series of quality inspections, we proposed improvements to the existing CO2 laser machining parameters, namely, a vertical scanning pathway, 4 W of power, and a feed rate of 9.45 cm/s. Using these improved parameters, we created optical fiber sensors with a core diameter of approximately 400 μm, no obvious optical transmission defects, a numerical aperture of 0.52 ± 0.019, a 0.886 Weibull modulus, and a 1.186 Weibull-shaped parameter. Finally, we used the optical fiber sensor fabricated using the improved parameters to measure the refractive indices of various solutions. The results show that a refractive-index resolution of 1.8 × 10−4 RIU (linear fitting R2 = 0.954 was achieved for sucrose solutions with refractive indices ranging between 1.333 and 1.383. We also adopted the particle plasmon resonance sensing scheme using the fabricated optical fibers. The results provided additional information, specifically, a superior sensor resolution of 5.73 × 10−5 RIU, and greater linearity at R2 = 0.999.

Machine Learning in Ultrasound Computer-Aided Diagnostic Systems: A Survey.

Science.gov (United States)

Huang, Qinghua; Zhang, Fan; Li, Xuelong

2018-01-01

The ultrasound imaging is one of the most common schemes to detect diseases in the clinical practice. There are many advantages of ultrasound imaging such as safety, convenience, and low cost. However, reading ultrasound imaging is not easy. To support the diagnosis of clinicians and reduce the load of doctors, many ultrasound computer-aided diagnosis (CAD) systems are proposed. In recent years, the success of deep learning in the image classification and segmentation led to more and more scholars realizing the potential of performance improvement brought by utilizing the deep learning in the ultrasound CAD system. This paper summarized the research which focuses on the ultrasound CAD system utilizing machine learning technology in recent years. This study divided the ultrasound CAD system into two categories. One is the traditional ultrasound CAD system which employed the manmade feature and the other is the deep learning ultrasound CAD system. The major feature and the classifier employed by the traditional ultrasound CAD system are introduced. As for the deep learning ultrasound CAD, newest applications are summarized. This paper will be useful for researchers who focus on the ultrasound CAD system.

Machine Learning in Ultrasound Computer-Aided Diagnostic Systems: A Survey

Directory of Open Access Journals (Sweden)

Qinghua Huang

2018-01-01

Full Text Available The ultrasound imaging is one of the most common schemes to detect diseases in the clinical practice. There are many advantages of ultrasound imaging such as safety, convenience, and low cost. However, reading ultrasound imaging is not easy. To support the diagnosis of clinicians and reduce the load of doctors, many ultrasound computer-aided diagnosis (CAD systems are proposed. In recent years, the success of deep learning in the image classification and segmentation led to more and more scholars realizing the potential of performance improvement brought by utilizing the deep learning in the ultrasound CAD system. This paper summarized the research which focuses on the ultrasound CAD system utilizing machine learning technology in recent years. This study divided the ultrasound CAD system into two categories. One is the traditional ultrasound CAD system which employed the manmade feature and the other is the deep learning ultrasound CAD system. The major feature and the classifier employed by the traditional ultrasound CAD system are introduced. As for the deep learning ultrasound CAD, newest applications are summarized. This paper will be useful for researchers who focus on the ultrasound CAD system.

Increasing incidence of hip fracture in Chiang Mai, Thailand.

Science.gov (United States)

Wongtriratanachai, Prasit; Luevitoonvechkij, Sirichai; Songpatanasilp, Thawee; Sribunditkul, Siripoj; Leerapun, Taninnit; Phadungkiat, Sompant; Rojanasthien, Sattaya

2013-01-01

Hip fracture is a major health problem in Thailand. This study attempted to examine the incidence, related factors, and trends of hip fracture in Chiang Mai, Thailand. All hip fracture data among patients aged 50 yr or older were collected from hospitals in Chiang Mai, Thailand from August 1, 2006 to July 3, 2007. Data from the 1997 Chiang Mai hip fracture study were used for comparison. In the study period, 690 hip fractures were reported: 203 males and 487 females (male to female ratio was 1 to 2.4), with a mean age of 76.7 yr. The estimated cumulative incidence was 181.0 per 100,000, and the adjusted incidence was 253.3 (males: 135.9; females: 367.9). A simple fall was the most common mechanism (79%) of fracture, and 80% of the hip fractures occurred in patients aged 70 yr or older. The highest incidence of hip fracture was observed in patients older than 85 yr (1239). At 6 mo postfracture, most patients (61%) used a walking aid. Compared with the 1997 data, hip fracture incidence had increased by an average of 2% per yr, and the incidence of hip fracture had increased significantly from August 1, 2006 to July 31, 2007, especially in patients older than 75 yr. In patients older than 84 yr, the incidence increased by a factor of 2. Urgent strategies for the prevention and treatment of osteoporosis, and hence hip fracture, are needed. Copyright © 2013 The International Society for Clinical Densitometry. Published by Elsevier Inc. All rights reserved.

Prediction of Baseflow Index of Catchments using Machine Learning Algorithms

Science.gov (United States)

Yadav, B.; Hatfield, K.

2017-12-01

We present the results of eight machine learning techniques for predicting the baseflow index (BFI) of ungauged basins using a surrogate of catchment scale climate and physiographic data. The tested algorithms include ordinary least squares, ridge regression, least absolute shrinkage and selection operator (lasso), elasticnet, support vector machine, gradient boosted regression trees, random forests, and extremely randomized trees. Our work seeks to identify the dominant controls of BFI that can be readily obtained from ancillary geospatial databases and remote sensing measurements, such that the developed techniques can be extended to ungauged catchments. More than 800 gauged catchments spanning the continental United States were selected to develop the general methodology. The BFI calculation was based on the baseflow separated from daily streamflow hydrograph using HYSEP filter. The surrogate catchment attributes were compiled from multiple sources including digital elevation model, soil, landuse, climate data, other publicly available ancillary and geospatial data. 80% catchments were used to train the ML algorithms, and the remaining 20% of the catchments were used as an independent test set to measure the generalization performance of fitted models. A k-fold cross-validation using exhaustive grid search was used to fit the hyperparameters of each model. Initial model development was based on 19 independent variables, but after variable selection and feature ranking, we generated revised sparse models of BFI prediction that are based on only six catchment attributes. These key predictive variables selected after the careful evaluation of bias-variance tradeoff include average catchment elevation, slope, fraction of sand, permeability, temperature, and precipitation. The most promising algorithms exceeding an accuracy score (r-square) of 0.7 on test data include support vector machine, gradient boosted regression trees, random forests, and extremely randomized

Respostas religiosas à aids no Brasil: impressões de pesquisa1

Science.gov (United States)

Seffner, Fernando; da Silva, Cristiane Gonçalves Meireles; Maksud, Ívia; Garcia, Jonathan; Rios, Luís Felipe; Natividade, Marcelo; Borges, Priscila Rodrigues; Parker, Richard; Terto, Veriano

2009-01-01

Resumo O texto encontra-se estruturado em quatro partes. Na primeira delas, apresentamos um conjunto de considerações e informações acerca da situação da aids no Brasil, das relações entre religião, sexualidade, aids e estado laico, bem como uma descrição mais clara do Projeto Respostas Religiosas ao HIV/Aids no Brasil, do qual este texto apresenta algumas impressões de pesquisa preliminares. A seguir, dedicamos um item a apresentação da Pastoral de DST/Aids, sua história, estrutura e objetivos. No item seguinte problematizamos diversas questões em particular no âmbito das relações Estado e Igreja, relações entre agentes de pastoral e hierarquia da Igreja, e questões ligadas mais diretamente à sexualidade e aids, todas referenciadas ao trabalho da Pastoral de DST/Aids. Ao final, apresentamos a bibliografia e fontes consultadas. PMID:20428503

Machine Tool Software

Science.gov (United States)

1988-01-01

A NASA-developed software package has played a part in technical education of students who major in Mechanical Engineering Technology at William Rainey Harper College. Professor Hack has been using (APT) Automatically Programmed Tool Software since 1969 in his CAD/CAM Computer Aided Design and Manufacturing curriculum. Professor Hack teaches the use of APT programming languages for control of metal cutting machines. Machine tool instructions are geometry definitions written in APT Language to constitute a "part program." The part program is processed by the machine tool. CAD/CAM students go from writing a program to cutting steel in the course of a semester.

The Total Energy Efficiency Index for machine tools

International Nuclear Information System (INIS)

Schudeleit, Timo; Züst, Simon; Weiss, Lukas; Wegener, Konrad

2016-01-01

Energy efficiency in industries is one of the dominating challenges of the 21st century. Since the release of the eco-design directive 2005/32/EC in 2005, great research effort has been spent on the energy efficiency assessment for energy using products. The ISO (International Organization for Standardization) standardization body (ISO/TC 39 WG 12) currently works on the ISO 14955 series in order to enable the assessment of energy efficient design of machine tools. A missing piece for completion of the ISO 14955 series is a metric to quantify the design of machine tools regarding energy efficiency based on the respective assembly of components. The metric needs to take into account each machine tool components' efficiency and the need-oriented utilization in combination with the other components while referring to efficiency limits. However, a state of the art review reveals that none of the existing metrics is feasible to adequately match this goal. This paper presents a metric that matches all these criteria to promote the development of the ISO 14955 series. The applicability of the metric is proven in a practical case study on a turning machine. - Highlights: • Study for pushing forward the standardization work on the ISO 14955 series. • Review of existing energy efficiency indicators regarding three basic strategies to foster sustainability. • Development of a metric comprising the three basic strategies to foster sustainability. • Metric application for quantifying the energy efficiency of a turning machine.

Mai Suya

African Journals Online (AJOL)

study involving mai suya and workers who are not exposed to wood smoke and oil fumes .... cofounding effect of smoking on respiratory tract and because the two ... suyas who are non smokers was also apparent in the trend analysis as ...

Machine Translation Tools - Tools of The Translator's Trade

DEFF Research Database (Denmark)

Kastberg, Peter

2012-01-01

In this article three of the more common types of translation tools are presented, discussed and critically evaluated. The types of translation tools dealt with in this article are: Fully Automated Machine Translation (or FAMT), Human Aided Machine Translation (or HAMT) and Machine Aided Human...... Translation (or MAHT). The strengths and weaknesses of the different types of tools are discussed and evaluated by means of a number of examples. The article aims at two things: at presenting a sort of state of the art of what is commonly referred to as “machine translation” as well as at providing the reader...... with a sound basis for considering what translation tool (if any) is the most appropriate in order to meet his or her specific translation needs....

Fractography of clinically fractured, implant-supported dental computer-aided design and computer-aided manufacturing crowns

NARCIS (Netherlands)

Lohbauer, Ulrich; Belli, Renan; Cune, Marco S; Schepke, Ulf

2017-01-01

Today, a substantial part of the dental crown production uses computer-aided design and computer-aided manufacturing (CAD/CAM) technology. A recent step in restorative dentistry is the replacement of natural tooth structure with pre-polymerized and machined resin-based methacrylic polymers.

Machinability of structural steels with calcium addition

International Nuclear Information System (INIS)

Pytel, S.; Zadecki, M.

2003-01-01

The machinability of the plain carbon and low alloy structural steels with carbon content of 0.1-0.6% is briefly discussed in the first part of the paper. In the experimental part a dependence between the addition of calcium and some changes in sulphide and oxide inclusions morphology is presented. The Volvo test for measurement of machinability index B i has been applied. Using the multiple regression methods two relationships between machinability index B i and stereological parameters of non-metallic inclusions as well as hardness of the steels have been calculated. The authors have reached the conclusion that owing to the changes in inclusion chemical composition and geometry as result of calcium addition the machinability index of the steel can be higher. (author)

Pensionid poliitilisest tõmbetuulest välja / Mai Treial

Index Scriptorium Estoniae

Treial, Mai, 1952-

2007-01-01

Ilmunud ka: Põhjarannik, 18. mai 2007, lk. 2; Severnoje Poberezhje, 18. mai 2007, lk. 2; Koit, 22. mai 2007, lk. 6; Sakala, 23. mai 2007, lk. 2; Harju Ekspress, 25. mai 2007, lk. 6; Vooremaa, 26. mai 2007, lk. 2; Valgamaalane, 29. mai 2007, lk. 2; Oma Saar, 30. mai 2007, lk. 5; Teataja : Eestimaa Rahvaliidu ajaleht, juuni, nr. 6, 2007, lk. 3. Rahvaliidu ettepanekust riikliku pensionikindlustuse seaduse täiendamise eelnõu kohta: pensioni baasosa osakaalu tuleks suurendada neljal järgmisel aastal

Cutaneous gallium uptake in patients with AIDS with mycobacterium avium-intracellulare septicemia

International Nuclear Information System (INIS)

Allwright, S.J.; Chapman, P.R.; Antico, V.F.; Gruenewald, S.M.

1988-01-01

Gallium imaging is increasingly being used for the early detection of complications in patients with AIDS. A 26-year-old homosexual man who was HIV antibody positive underwent gallium imaging for investigation of possible Pneumocystis carinii pneumonia. Widespread cutaneous focal uptake was seen, which was subsequently shown to be due to mycobacterium avium-intracellulare (MAI) septicemia. This case demonstrates the importance of whole body imaging rather than imaging target areas only, the utility of gallium imaging in aiding the early detection of clinically unsuspected disease, and shows a new pattern of gallium uptake in disseminated MAI infection

Examining the Association Between School Vending Machines and Children's Body Mass Index by Socioeconomic Status.

Science.gov (United States)

O'Hara, Jeffrey K; Haynes-Maslow, Lindsey

2015-01-01

To examine the association between vending machine availability in schools and body mass index (BMI) among subgroups of children based on gender, race/ethnicity, and socioeconomic status classifications. First-difference multivariate regressions were estimated using longitudinal fifth- and eighth-grade data from the Early Childhood Longitudinal Study. The specifications were disaggregated by gender, race/ethnicity, and family socioeconomic status classifications. Vending machine availability had a positive association (P < .10) with BMI among Hispanic male children and low-income Hispanic children. Living in an urban location (P < .05) and hours watching television (P < .05) were also positively associated with BMI for these subgroups. Supplemental Nutrition Assistance Program enrollment was negatively associated with BMI for low-income Hispanic students (P < .05). These findings were not statistically significant when using Bonferroni adjusted critical values. The results suggest that the school food environment could reinforce health disparities that exist for Hispanic male children and low-income Hispanic children. Copyright © 2015 Society for Nutrition Education and Behavior. Published by Elsevier Inc. All rights reserved.

Learning Activity Packets for Grinding Machines. Unit I--Grinding Machines.

Science.gov (United States)

Oklahoma State Board of Vocational and Technical Education, Stillwater. Curriculum and Instructional Materials Center.

This learning activity packet (LAP) is one of three that accompany the curriculum guide on grinding machines. It outlines the study activities and performance tasks for the first unit of this curriculum guide. Its purpose is to aid the student in attaining a working knowledge of this area of training and in achieving a skilled or moderately…

Development of a Late-Life Dementia Prediction Index with Supervised Machine Learning in the Population-Based CAIDE Study.

Science.gov (United States)

Pekkala, Timo; Hall, Anette; Lötjönen, Jyrki; Mattila, Jussi; Soininen, Hilkka; Ngandu, Tiia; Laatikainen, Tiina; Kivipelto, Miia; Solomon, Alina

2017-01-01

This study aimed to develop a late-life dementia prediction model using a novel validated supervised machine learning method, the Disease State Index (DSI), in the Finnish population-based CAIDE study. The CAIDE study was based on previous population-based midlife surveys. CAIDE participants were re-examined twice in late-life, and the first late-life re-examination was used as baseline for the present study. The main study population included 709 cognitively normal subjects at first re-examination who returned to the second re-examination up to 10 years later (incident dementia n = 39). An extended population (n = 1009, incident dementia 151) included non-participants/non-survivors (national registers data). DSI was used to develop a dementia index based on first re-examination assessments. Performance in predicting dementia was assessed as area under the ROC curve (AUC). AUCs for DSI were 0.79 and 0.75 for main and extended populations. Included predictors were cognition, vascular factors, age, subjective memory complaints, and APOE genotype. The supervised machine learning method performed well in identifying comprehensive profiles for predicting dementia development up to 10 years later. DSI could thus be useful for identifying individuals who are most at risk and may benefit from dementia prevention interventions.

Machine Learning and Radiology

Science.gov (United States)

Wang, Shijun; Summers, Ronald M.

2012-01-01

In this paper, we give a short introduction to machine learning and survey its applications in radiology. We focused on six categories of applications in radiology: medical image segmentation, registration, computer aided detection and diagnosis, brain function or activity analysis and neurological disease diagnosis from fMR images, content-based image retrieval systems for CT or MRI images, and text analysis of radiology reports using natural language processing (NLP) and natural language understanding (NLU). This survey shows that machine learning plays a key role in many radiology applications. Machine learning identifies complex patterns automatically and helps radiologists make intelligent decisions on radiology data such as conventional radiographs, CT, MRI, and PET images and radiology reports. In many applications, the performance of machine learning-based automatic detection and diagnosis systems has shown to be comparable to that of a well-trained and experienced radiologist. Technology development in machine learning and radiology will benefit from each other in the long run. Key contributions and common characteristics of machine learning techniques in radiology are discussed. We also discuss the problem of translating machine learning applications to the radiology clinical setting, including advantages and potential barriers. PMID:22465077

Computer-Aided Manufacturing of 3D Workpieces

OpenAIRE

Cornelia Victoria Anghel Drugarin; Mihaela Dorica Stroia

2017-01-01

Computer-Aided Manufacturing (CAM) assumes to use dedicated software for controlling machine tools and similar devices in the process of workpieces manufacturing. CAM is, in fact, an application technology that uses computer software and machinery to simplify and automate manufacturing processes. CAM is the inheritor of computer-aided engineering (CAE) and is often used conjunctively with computer-aided design (CAD). Advanced CAM solutions are forthcoming and have a large ...

Machine learning and radiology.

Science.gov (United States)

Wang, Shijun; Summers, Ronald M

2012-07-01

In this paper, we give a short introduction to machine learning and survey its applications in radiology. We focused on six categories of applications in radiology: medical image segmentation, registration, computer aided detection and diagnosis, brain function or activity analysis and neurological disease diagnosis from fMR images, content-based image retrieval systems for CT or MRI images, and text analysis of radiology reports using natural language processing (NLP) and natural language understanding (NLU). This survey shows that machine learning plays a key role in many radiology applications. Machine learning identifies complex patterns automatically and helps radiologists make intelligent decisions on radiology data such as conventional radiographs, CT, MRI, and PET images and radiology reports. In many applications, the performance of machine learning-based automatic detection and diagnosis systems has shown to be comparable to that of a well-trained and experienced radiologist. Technology development in machine learning and radiology will benefit from each other in the long run. Key contributions and common characteristics of machine learning techniques in radiology are discussed. We also discuss the problem of translating machine learning applications to the radiology clinical setting, including advantages and potential barriers. Copyright © 2012. Published by Elsevier B.V.

Machinability of a Stainless Steel by Electrochemical Discharge Microdrilling

International Nuclear Information System (INIS)

Coteata, Margareta; Pop, Nicolae; Slatineanu, Laurentiu; Schulze, Hans-Peter; Besliu, Irina

2011-01-01

Due to the chemical elements included in their structure for ensuring an increased resistance to the environment action, the stainless steels are characterized by a low machinability when classical machining methods are applied. For this reason, sometimes non-traditional machining methods are applied, one of these being the electrochemical discharge machining. To obtain microholes and to evaluate the machinability by electrochemical discharge microdrilling, test pieces of stainless steel were used for experimental research. The electrolyte was an aqueous solution of sodium silicate with different densities. A complete factorial plan was designed to highlight the influence of some input variables on the sizes of the considered machinability indexes (electrode tool wear, material removal rate, depth of the machined hole). By mathematically processing of experimental data, empirical functions were established both for stainless steel and carbon steel. Graphical representations were used to obtain more suggestive vision concerning the influence exerted by the considered input variables on the size of the machinability indexes.

Machine safety: proper safeguarding techniques.

Science.gov (United States)

Martin, K J

1992-06-01

1. OSHA mandates certain safeguarding of machinery to prevent accidents and protect machine operators. OSHA specifies moving parts that must be guarded and sets criteria for the guards. 2. A 1989 OSHA standard for lockout/tagout requires locking the energy source during maintenance, periodically inspecting for power transmission, and training maintenance workers. 3. In an amputation emergency, first aid for cardiopulmonary resuscitation, shock, and bleeding are the first considerations. The amputated part should be wrapped in moist gauze, placed in a sealed plastic bag, and placed in a container of 50% water and 50% ice for transport. 4. The role of the occupational health nurse in machine safety is to conduct worksite analyses to identify proper safeguarding and to communicate deficiencies to appropriate personnel; to train workers in safe work practices and observe compliance in the use of machine guards; to provide care to workers injured by machines; and to reinforce safe work practices among machine operators.

Machine learning in radiation oncology theory and applications

CERN Document Server

El Naqa, Issam; Murphy, Martin J

2015-01-01

​This book provides a complete overview of the role of machine learning in radiation oncology and medical physics, covering basic theory, methods, and a variety of applications in medical physics and radiotherapy. An introductory section explains machine learning, reviews supervised and unsupervised learning methods, discusses performance evaluation, and summarizes potential applications in radiation oncology. Detailed individual sections are then devoted to the use of machine learning in quality assurance; computer-aided detection, including treatment planning and contouring; image-guided rad

Browse Title Index

African Journals Online (AJOL)

Items 1 - 50 of 88 ... Vol 12, No 1 (2015), Assessment of Groundwater Quality of Ilorin ... of Almond Seed Related to Design of Food Processing Machines, Abstract PDF ... Vol 7, No 1 (2010), Development of a computer aided learning system ... of the Effectiveness of Four Lossless Data Compression Algorithms, Abstract PDF.

Optimal Placement Algorithms for Virtual Machines

OpenAIRE

Bellur, Umesh; Rao, Chetan S; SD, Madhu Kumar

2010-01-01

Cloud computing provides a computing platform for the users to meet their demands in an efficient, cost-effective way. Virtualization technologies are used in the clouds to aid the efficient usage of hardware. Virtual machines (VMs) are utilized to satisfy the user needs and are placed on physical machines (PMs) of the cloud for effective usage of hardware resources and electricity in the cloud. Optimizing the number of PMs used helps in cutting down the power consumption by a substantial amo...

Aspects regarding the aided programming of the electroerosion machine ROBOFIL 310

OpenAIRE

Ioan Mocian; Răzvan Cazacu

2011-01-01

This paper presents the solutions to some practical issues regarding the design of technologies with the wire electroerosion numerical command machine ROBOFIL 310, produced by the Swiss manufacturer Charmilles. As part of the study an AutoCAD application was designed using Visual Basic and the .NET platform, aimed at helping the designer identify the minimum radius of a contour before sending it to the machine

MAI statistics estimation and analysis in a DS-CDMA system

Science.gov (United States)

Alami Hassani, A.; Zouak, M.; Mrabti, M.; Abdi, F.

2018-05-01

A primary limitation of Direct Sequence Code Division Multiple Access DS-CDMA link performance and system capacity is multiple access interference (MAI). To examine the performance of CDMA systems in the presence of MAI, i.e., in a multiuser environment, several works assumed that the interference can be approximated by a Gaussian random variable. In this paper, we first develop a new and simple approach to characterize the MAI in a multiuser system. In addition to statistically quantifying the MAI power, the paper also proposes a statistical model for both variance and mean of the MAI for synchronous and asynchronous CDMA transmission. We show that the MAI probability density function (PDF) is Gaussian for the equal-received-energy case and validate it by computer simulations.

A hybrid training approach for leaf area index estimation via Cubist and random forests machine-learning

KAUST Repository

McCabe, Matthew

2017-12-06

With an increasing volume and dimensionality of Earth observation data, enhanced integration of machine-learning methodologies is needed to effectively analyze and utilize these information rich datasets. In machine-learning, a training dataset is required to establish explicit associations between a suite of explanatory ‘predictor’ variables and the target property. The specifics of this learning process can significantly influence model validity and portability, with a higher generalization level expected with an increasing number of observable conditions being reflected in the training dataset. Here we propose a hybrid training approach for leaf area index (LAI) estimation, which harnesses synergistic attributes of scattered in-situ measurements and systematically distributed physically based model inversion results to enhance the information content and spatial representativeness of the training data. To do this, a complimentary training dataset of independent LAI was derived from a regularized model inversion of RapidEye surface reflectances and subsequently used to guide the development of LAI regression models via Cubist and random forests (RF) decision tree methods. The application of the hybrid training approach to a broad set of Landsat 8 vegetation index (VI) predictor variables resulted in significantly improved LAI prediction accuracies and spatial consistencies, relative to results relying on in-situ measurements alone for model training. In comparing the prediction capacity and portability of the two machine-learning algorithms, a pair of relatively simple multi-variate regression models established by Cubist performed best, with an overall relative mean absolute deviation (rMAD) of ∼11%, determined based on a stringent scene-specific cross-validation approach. In comparison, the portability of RF regression models was less effective (i.e., an overall rMAD of ∼15%), which was attributed partly to model saturation at high LAI in association

A hybrid training approach for leaf area index estimation via Cubist and random forests machine-learning

Science.gov (United States)

Houborg, Rasmus; McCabe, Matthew F.

2018-01-01

With an increasing volume and dimensionality of Earth observation data, enhanced integration of machine-learning methodologies is needed to effectively analyze and utilize these information rich datasets. In machine-learning, a training dataset is required to establish explicit associations between a suite of explanatory 'predictor' variables and the target property. The specifics of this learning process can significantly influence model validity and portability, with a higher generalization level expected with an increasing number of observable conditions being reflected in the training dataset. Here we propose a hybrid training approach for leaf area index (LAI) estimation, which harnesses synergistic attributes of scattered in-situ measurements and systematically distributed physically based model inversion results to enhance the information content and spatial representativeness of the training data. To do this, a complimentary training dataset of independent LAI was derived from a regularized model inversion of RapidEye surface reflectances and subsequently used to guide the development of LAI regression models via Cubist and random forests (RF) decision tree methods. The application of the hybrid training approach to a broad set of Landsat 8 vegetation index (VI) predictor variables resulted in significantly improved LAI prediction accuracies and spatial consistencies, relative to results relying on in-situ measurements alone for model training. In comparing the prediction capacity and portability of the two machine-learning algorithms, a pair of relatively simple multi-variate regression models established by Cubist performed best, with an overall relative mean absolute deviation (rMAD) of ∼11%, determined based on a stringent scene-specific cross-validation approach. In comparison, the portability of RF regression models was less effective (i.e., an overall rMAD of ∼15%), which was attributed partly to model saturation at high LAI in association with

A hybrid training approach for leaf area index estimation via Cubist and random forests machine-learning

KAUST Repository

McCabe, Matthew; McCabe, Matthew

2017-01-01

With an increasing volume and dimensionality of Earth observation data, enhanced integration of machine-learning methodologies is needed to effectively analyze and utilize these information rich datasets. In machine-learning, a training dataset is required to establish explicit associations between a suite of explanatory ‘predictor’ variables and the target property. The specifics of this learning process can significantly influence model validity and portability, with a higher generalization level expected with an increasing number of observable conditions being reflected in the training dataset. Here we propose a hybrid training approach for leaf area index (LAI) estimation, which harnesses synergistic attributes of scattered in-situ measurements and systematically distributed physically based model inversion results to enhance the information content and spatial representativeness of the training data. To do this, a complimentary training dataset of independent LAI was derived from a regularized model inversion of RapidEye surface reflectances and subsequently used to guide the development of LAI regression models via Cubist and random forests (RF) decision tree methods. The application of the hybrid training approach to a broad set of Landsat 8 vegetation index (VI) predictor variables resulted in significantly improved LAI prediction accuracies and spatial consistencies, relative to results relying on in-situ measurements alone for model training. In comparing the prediction capacity and portability of the two machine-learning algorithms, a pair of relatively simple multi-variate regression models established by Cubist performed best, with an overall relative mean absolute deviation (rMAD) of ∼11%, determined based on a stringent scene-specific cross-validation approach. In comparison, the portability of RF regression models was less effective (i.e., an overall rMAD of ∼15%), which was attributed partly to model saturation at high LAI in association

Monitoring large rotating machines at EDF

International Nuclear Information System (INIS)

Chevalier, R.; Bourgeois, P.; Le Reverend, D.

1992-09-01

At Electricite de France (EDF), since 1978, the operating instruments which ensure the DETECTION function, have been completed on turbogenerators by a specialized ''off-line'' vibration monitoring system, which allows a posteriori DIAGNOSIS analysis. However because of a need of a real time and more elaborated DETECTION function, the concept of the Monitoring and Diagnosis Aid Station (Poste de Surveillance et d'Aide au Diagnostic: PSAD) has been developed. It federates the processing of monitoring, organized into several functions, and includes the monitoring of turbogenerators (TGS) and reactor coolant pumps (RCP). The purpose of this paper is to present, on the one hand, the monitoring functions of TGS and RCP and on the other, the first experimental results on the behaviour of three RCP, obtained through a SAMT (Surveillance Automatisee des Machines Tournantes - Automatic monitoring of rotating machines) prototype. (authors). 2 figs., 4 tabs., 4 refs

Dynamic thermal analysis of machines in running state

CERN Document Server

Wang, Lihui

2014-01-01

With the increasing complexity and dynamism in today’s machine design and development, more precise, robust and practical approaches and systems are needed to support machine design. Existing design methods treat the targeted machine as stationery. Analysis and simulation are mostly performed at the component level. Although there are some computer-aided engineering tools capable of motion analysis and vibration simulation etc., the machine itself is in the dry-run state. For effective machine design, understanding its thermal behaviours is crucial in achieving the desired performance in real situation. Dynamic Thermal Analysis of Machines in Running State presents a set of innovative solutions to dynamic thermal analysis of machines when they are put under actual working conditions. The objective is to better understand the thermal behaviours of a machine in real situation while at the design stage. The book has two major sections, with the first section presenting a broad-based review of the key areas of ...

Aspects regarding the aided programming of the electroerosion machine ROBOFIL 310

Directory of Open Access Journals (Sweden)

Ioan Mocian

2011-12-01

Full Text Available This paper presents the solutions to some practical issues regarding the design of technologies with the wire electroerosion numerical command machine ROBOFIL 310, produced by the Swiss manufacturer Charmilles. As part of the study an AutoCAD application was designed using Visual Basic and the .NET platform, aimed at helping the designer identify the minimum radius of a contour before sending it to the machine

Catalytic aided electrical discharge machining of polycrystalline diamond - parameter analysis of finishing condition

Science.gov (United States)

Haikal Ahmad, M. A.; Zulafif Rahim, M.; Fauzi, M. F. Mohd; Abdullah, Aslam; Omar, Z.; Ding, Songlin; Ismail, A. E.; Rasidi Ibrahim, M.

2018-01-01

Polycrystalline diamond (PCD) is regarded as among the hardest material in the world. Electrical Discharge Machining (EDM) typically used to machine this material because of its non-contact process nature. This investigation was purposely done to compare the EDM performances of PCD when using normal electrode of copper (Cu) and newly proposed graphitization catalyst electrode of copper nickel (CuNi). Two level full factorial design of experiment with 4 center points technique was used to study the influence of main and interaction effects of the machining parameter namely; pulse-on, pulse-off, sparking current, and electrode materials (categorical factor). The paper shows interesting discovery in which the newly proposed electrode presented positive impact to the machining performance. With the same machining parameters of finishing, CuNi delivered more than 100% better in Ra and MRR than ordinary Cu electrode.

Thyroid hormone levels in the acquired immunodeficiency syndrome (AIDS) or AIDS-related complex.

OpenAIRE

Tang, W W; Kaptein, E M

1989-01-01

Hypothalamic-pituitary dysfunction and thyroid gland cytomegalovirus inclusions have been described in patients with the acquired immunodeficiency syndrome (AIDS) and AIDS-related complex (ARC). We evaluated 80 patients with AIDS or ARC for the frequency of hypothalamic-pituitary or thyroid gland failure and altered serum thyroid hormone levels due to nonthyroidal disorders. One patient had subclinical hypothyroidism. Of these patients, 60% had low free triiodothyronine (T3) index values and ...

Three-class classification in computer-aided diagnosis of breast cancer by support vector machine

Science.gov (United States)

Sun, Xuejun; Qian, Wei; Song, Dansheng

2004-05-01

Design of classifier in computer-aided diagnosis (CAD) scheme of breast cancer plays important role to its overall performance in sensitivity and specificity. Classification of a detected object as malignant lesion, benign lesion, or normal tissue on mammogram is a typical three-class pattern recognition problem. This paper presents a three-class classification approach by using two-stage classifier combined with support vector machine (SVM) learning algorithm for classification of breast cancer on mammograms. The first classification stage is used to detect abnormal areas and normal breast tissues, and the second stage is for classification of malignant or benign in detected abnormal objects. A series of spatial, morphology and texture features have been extracted on detected objects areas. By using genetic algorithm (GA), different feature groups for different stage classification have been investigated. Computerized free-response receiver operating characteristic (FROC) and receiver operating characteristic (ROC) analyses have been employed in different classification stages. Results have shown that obvious performance improvement in both sensitivity and specificity was observed through proposed classification approach compared with conventional two-class classification approaches, indicating its effectiveness in classification of breast cancer on mammograms.

Machine Learning Applications to Resting-State Functional MR Imaging Analysis.

Science.gov (United States)

Billings, John M; Eder, Maxwell; Flood, William C; Dhami, Devendra Singh; Natarajan, Sriraam; Whitlow, Christopher T

2017-11-01

Machine learning is one of the most exciting and rapidly expanding fields within computer science. Academic and commercial research entities are investing in machine learning methods, especially in personalized medicine via patient-level classification. There is great promise that machine learning methods combined with resting state functional MR imaging will aid in diagnosis of disease and guide potential treatment for conditions thought to be impossible to identify based on imaging alone, such as psychiatric disorders. We discuss machine learning methods and explore recent advances. Copyright © 2017 Elsevier Inc. All rights reserved.

A new prognostic score for AIDS-related lymphomas in the rituximab-era

Science.gov (United States)

Barta, Stefan K.; Xue, Xiaonan; Wang, Dan; Lee, Jeannette Y.; Kaplan, Lawrence D.; Ribera, Josep-Maria; Oriol, Albert; Spina, Michele; Tirelli, Umberto; Boue, Francois; Wilson, Wyndham H.; Wyen, Christoph; Dunleavy, Kieron; Noy, Ariela; Sparano, Joseph A.

2014-01-01

While the International Prognostic Index is commonly used to predict outcomes in immunocompetent patients with aggressive B-cell non-Hodgkin lymphomas, HIV-infection is an important competing risk for death in patients with AIDS-related lymphomas. We investigated whether a newly created prognostic score (AIDS-related lymphoma International Prognostic Index) could better assess risk of death in patients with AIDS-related lymphomas. We randomly divided a dataset of 487 patients newly diagnosed with AIDS-related lymphomas and treated with rituximab-containing chemoimmunotherapy into a training (n=244) and validation (n=243) set. We examined the association of HIV-related and other known risk factors with overall survival in both sets independently. We defined a new score (AIDS-related lymphoma International Prognostic Index) by assigning weights to each significant predictor [age-adjusted International Prognostic Index, extranodal sites, HIV-score (composed of CD4 count, viral load, and prior history of AIDS)] with three risk categories similar to the age-adjusted International Prognostic Index (low, intermediate and high risk). We compared the prognostic value for overall survival between AIDS-related lymphoma International Prognostic Index and age-adjusted International Prognostic Index in the validation set and found that the AIDS-related lymphoma International Prognostic Index performed significantly better in predicting risk of death than the age-adjusted International Prognostic Index (P=0.004) and better discriminated risk of death between each risk category (P=0.015 vs. P=0.13). Twenty-eight percent of patients were defined as low risk by the ARL-IPI and had an estimated 5-year overall survival (OS) of 78% (52% intermediate risk, 5-year OS 60%; 20% high risk, 5-year OS 50%). PMID:25150257

Structural Damage Detection using Frequency Response Function Index and Surrogate Model Based on Optimized Extreme Learning Machine Algorithm

Directory of Open Access Journals (Sweden)

R. Ghiasi

2017-09-01

Full Text Available Utilizing surrogate models based on artificial intelligence methods for detecting structural damages has attracted the attention of many researchers in recent decades. In this study, a new kernel based on Littlewood-Paley Wavelet (LPW is proposed for Extreme Learning Machine (ELM algorithm to improve the accuracy of detecting multiple damages in structural systems.  ELM is used as metamodel (surrogate model of exact finite element analysis of structures in order to efficiently reduce the computational cost through updating process. In the proposed two-step method, first a damage index, based on Frequency Response Function (FRF of the structure, is used to identify the location of damages. In the second step, the severity of damages in identified elements is detected using ELM. In order to evaluate the efficacy of ELM, the results obtained from the proposed kernel were compared with other kernels proposed for ELM as well as Least Square Support Vector Machine algorithm. The solved numerical problems indicated that ELM algorithm accuracy in detecting structural damages is increased drastically in case of using LPW kernel.

Letramento: uma aprendizagem mais significativa

Directory of Open Access Journals (Sweden)

Cristiane Carvalho Mendonça Blanco

2012-06-01

Full Text Available Esse artigo expõe a pesquisa realizada sobre Letramento: uma aprendizagem mais significativa teve como questão norteadora as muitas reflexões sobre o que pode ser feito para tornar o processo do contato inicial da criança com o letramento em um momento mais significativo e democrático, de modo que a criança se sinta sujeito de sua aprendizagem. Diante disso, foi observada uma turma de primeiro ano da Escola Municipal de Educação Básica Jardim Paraíso, no Município de Sinop – MT, e a professora regente desta turma, teve como abordagem teórica o estudo de Magda Soares. Por meio de uma entrevista e observações, foi possível conhecer quais os materiais didáticos que são utilizados em sala de aula e como os alunos interagem com este material. O caminho metodológico utilizado foi a pesquisa qualitativa, mais especificamente o Estudo de Caso. Constatou-se que a alfabetização só tem sentido em um contexto de letramento e por meio de atividades de letramento, este, por sua vez, só pode desenvolver-se por meio da aprendizagem do sistema de escrita.Palavras-chave: educação; ensino fundamental; letramento; professora e crianças; pesquisa descritiva; Magda Soares.

Remote handling prospects. Computer aided remote handling

International Nuclear Information System (INIS)

Vertut, J.

1984-01-01

Mechanical manipulators, electrical control manipulators and computer aided manipulators were successively developed. The aim of computer aided manipulators is the realization of complex or tricky job in adverse environment but man is required for non routine work or for situation in evolution. French effort is developed in the frame of the project automation and advanced robotics and new problems have to be solved particularly at the interface man/machine [fr

Patterns of Sexual Behavior in Lowland Thai Youth and Ethnic Minorities Attending High School in Rural Chiang Mai, Thailand

OpenAIRE

Aurpibul, Linda; Tangmunkongvorakul, Arunrat; Musumari, Patou Masika; Srithanaviboonchai, Kriengkrai; Tarnkehard, Surapee

2016-01-01

Introduction: The rural areas of Northern Thailand are home to a large cultural diversity of ethnic minority groups. Previous studies have shown that young people in rural Thailand have low levels of knowledge on HIV/AIDS and high sexual risks. We compared sexual behaviors between the lowland Thai youth and the youth from ethnic minority groups. Methods and findings: This is a cross-sectional quantitative study conducted among high-school Thai and ethnic students in Chiang Mai. From a total 1...

Computer Aided Diagnosis for mental health care: On the Clinical Validation of Sensitive Machines

NARCIS (Netherlands)

van der Sluis, Frans; Dijkstra, Ton; van den Broek, Egon; Conchon, E.; Correia, C.; Fred, A.; Gamboa, H.

2012-01-01

This study explores the feasibility of sensitive machines; that is, machines with empathic abilities, at least to some extent. A signal processing and machine learning pipeline is presented that is used to analyze data from two studies in which 25 Post-Traumatic Stress Disorder (PTSD) patients

Computer aided diagnosis for mental health care : On the clinical validation of sensitive machines

NARCIS (Netherlands)

Sluis, F. van der; Dijkstra, T.; Broek, E.L. van den

2012-01-01

This study explores the feasibility of sensitive machines; that is, machines with empathic abilities, at least to some extent. A signal processing and machine learning pipeline is presented that is used to analyze data from two studies in which 25 Post-Traumatic Stress Disorder (PTSD) patients

[Clinical skills and outcomes of chair-side computer aided design and computer aided manufacture system].

Science.gov (United States)

Yu, Q

2018-04-09

Computer aided design and computer aided manufacture (CAD/CAM) technology is a kind of oral digital system which is applied to clinical diagnosis and treatment. It overturns the traditional pattern, and provides a solution to restore defect tooth quickly and efficiently. In this paper we mainly discuss the clinical skills of chair-side CAD/CAM system, including tooth preparation, digital impression, the three-dimensional design of prosthesis, numerical control machining, clinical bonding and so on, and review the outcomes of several common kinds of materials at the same time.

DESIGN ANALYSIS OF ELECTRICAL MACHINES THROUGH INTEGRATED NUMERICAL APPROACH

Directory of Open Access Journals (Sweden)

ARAVIND C.V.

2016-02-01

Full Text Available An integrated design platform for the newer type of machines is presented in this work. The machine parameters are evaluated out using developed modelling tool. With the machine parameters, the machine is modelled using computer aided tool. The designed machine is brought to simulation tool to perform electromagnetic and electromechanical analysis. In the simulation, conditions setting are performed to setup the materials, meshes, rotational speed and the excitation circuit. Electromagnetic analysis is carried out to predict the behavior of the machine based on the movement of flux in the machines. Besides, electromechanical analysis is carried out to analyse the speed-torque characteristic, the current-torque characteristic and the phase angle-torque characteristic. After all the results are analysed, the designed machine is used to generate S block function that is compatible with MATLAB/SIMULINK tool for the dynamic operational characteristics. This allows the integration of existing drive system into the new machines designed in the modelling tool. An example of the machine design is presented to validate the usage of such a tool.

Amplifying human ability through autonomics and machine learning in IMPACT

Science.gov (United States)

Dzieciuch, Iryna; Reeder, John; Gutzwiller, Robert; Gustafson, Eric; Coronado, Braulio; Martinez, Luis; Croft, Bryan; Lange, Douglas S.

2017-05-01

Amplifying human ability for controlling complex environments featuring autonomous units can be aided by learned models of human and system performance. In developing a command and control system that allows a small number of people to control a large number of autonomous teams, we employ an autonomics framework to manage the networks that represent mission plans and the networks that are composed of human controllers and their autonomous assistants. Machine learning allows us to build models of human and system performance useful for monitoring plans and managing human attention and task loads. Machine learning also aids in the development of tactics that human supervisors can successfully monitor through the command and control system.

Focused particle beam nano-machining: the next evolution step towards simulation aided process prediction

International Nuclear Information System (INIS)

Plank, Harald

2015-01-01

During the last decade, focused ion beam processing has been developed from traditionally used Ga + liquid ion sources towards higher resolution gas field ion sources (He + and Ne + ). Process simulations not only improve the fundamental understanding of the relevant ion–matter interactions, but also enable a certain predictive power to accelerate advances. The historic ‘gold’ standard in ion–solid simulations is the SRIM/TRIM Monte Carlo package released by Ziegler, Ziegler and Biersack 2010 Nucl. Instrum. Methods B 268 1818–23. While SRIM/TRIM is very useful for a myriad of applications, it is not applicable for the understanding of the nanoscale evolution associated with ion beam nano-machining as the substrate does not evolve with the sputtering process. As a solution for this problem, a new, adapted simulation code is briefly overviewed and finally addresses these contributions. By that, experimentally observed Ne + beam sputter profiles can be explained from a fundamental point of view. Due to their very good agreement, these simulations contain the potential for computer aided optimization towards predictable sputter processes for different nanotechnology applications. With these benefits in mind, the discussed simulation approach represents an enormous step towards a computer based master tool for adaptable ion beam applications in the context of industrial applications. (viewpoint)

Machinability evaluation of titanium alloys.

Science.gov (United States)

Kikuchi, Masafumi; Okuno, Osamu

2004-03-01

In the present study, the machinability of titanium, Ti-6Al-4V, Ti-6A1-7Nb, and free-cutting brass was evaluated using a milling machine. The metals were slotted with square end mills under four cutting conditions. The cutting force and the rotational speed of the spindle were measured. The cutting forces for Ti-6Al-4V and Ti-6Al-7Nb were higher and that for brass was lower than that for titanium. The rotational speed of the spindle was barely affected by cutting. The cross sections of the Ti-6Al-4V and Ti-6Al-7Nb chips were more clearly serrated than those of titanium, which is an indication of difficult-to-cut metals. There was no marked difference in the surface roughness of the cut surfaces among the metals. Cutting force and the appearance of the metal chips were found to be useful as indices of machinability and will aid in the development of new alloys for dental CAD/CAM and the selection of suitable machining conditions.

Effect of heat treatments on machinability of gold alloy with age-hardenability at intraoral temperature.

Science.gov (United States)

Watanabe, I; Baba, N; Watanabe, E; Atsuta, M; Okabe, T

2004-01-01

This study investigated the effect of heat treatment on the machinability of heat-treated cast gold alloy with age-hardenability at intraoral temperature using a handpiece engine with SiC wheels and an air-turbine handpiece with carbide burs and diamond points. Cast gold alloy specimens underwent various heat treatments [As-cast (AC); Solution treatment (ST); High-temperature aging (HA), Intraoral aging (IA)] before machinability testing. The machinability test was conducted at a constant machining force of 0.784N. The three circumferential speeds used for the handpiece engine were 500, 1,000 and 1,500 m/min. The machinability index (M-index) was determined as the amount of metal removed by machining (volume loss, mm(3)). The results were analyzed by ANOVA and Scheffé's test. When an air-turbine handpiece was used, there was no difference in the M-index of the gold alloy among the heat treatments. The air-turbine carbide burs showed significantly (pmachinability of the gold alloy using the air-turbine handpiece. The heat treatments had a small effect on the M-index of the gold alloy machined with a SiC wheel for a handpiece engine.

Vulnerabilidade de adolescentes ao HIV/AIDS: revisão integrativa

OpenAIRE

Melina Mafra Toledo

2008-01-01

Introdução: A adolescência é um dos períodos mais intensos da vida, pelos desafios, descobertas e oportunidades de exploração nela presentes e, por isso, se constitui um determinante da vulnerabilidade ao HIV/AIDS. Objetivo: identificar as evidências científicas da literatura sobre os elementos da vulnerabilidade de adolescentes ao HIV/AIDS. Metodologia: Revisão sistemática da literatura, na modalidade de denominada revisão integrativa. A busca de dados foi realizada nas seguintes bases e ban...

An Evaluation Of Holograms In Training And As Job Performance Aids

Science.gov (United States)

Frey, Allan H.

1986-08-01

Experimentation was carried out to evaluate holograms for use in training and as job aids. Holograms were compared against line drawings and photographs as methods of presenting visual information needed to accomplish a number of tasks. The dependent variables were assembly speed and assembly errors with people unstressed, assembly speed and assembly errors with people stressed, the percentage of discovered errors in assemblies, the number of correct assemblies misidentified as erroneous, and information extraction. Holograms generally were as good as or better visual aids than either photographs or line drawings. The use of holograms tends to reduce errors rather than speed assembly time in the assembly tasks used in these experiments. They also enhance the discovery of errors when the subject is attempting to locate assembly errors in a construction. The results of this experimentation suggest that serious consideration should be given to the use of holography in the development of job aids and in training. Besides these advantages for job aids, other advantages we found are that when page formated information is stored in man-readable holograms they are still useable when scratched or damaged even when similarly damaged microfilm is unuseable. Holography can also be used to store man and machine readable data simultaneously. Such storage would provide simplified backup in the event of machine failure, and it would permit the development of compatible machine and manual systems for job aid applications.

Meet Mai-Anh Ha | NREL

Science.gov (United States)

;Typically, at Vietnamese weddings or large gatherings, everyone ballroom dances," she says. Music can days are devoted to science. Sometimes you need a break," Mai-Anh says. The partners complement ." It also highlights their collaborations-which include science research. A Passion for Research

Isolation of Cryptococcus gattii from a Castanopsis argyrophylla tree hollow (Mai-Kaw), Chiang Mai, Thailand

NARCIS (Netherlands)

Khayhan, Kantarawee; Hagen, Ferry; Norkaew, Treepradab; Puengchan, Tanpalang; Boekhout, Teun; Sriburee, Pojana

2017-01-01

The pathogenic yeast Cryptococcus gattii was isolated from a tree hollow of a Castanopsis argyrophylla King ex Hook.f. (Fagaceae) in Chiang Mai, Thailand. Molecular characterization with amplified fragment length polymorphism analysis and multi-locus sequence typing showed that this isolate belonged

Creating an Electronic Reference and Information Database for Computer-aided ECM Design

Science.gov (United States)

Nekhoroshev, M. V.; Pronichev, N. D.; Smirnov, G. V.

2018-01-01

The paper presents a review on electrochemical shaping. An algorithm has been developed to implement a computer shaping model applicable to pulse electrochemical machining. For that purpose, the characteristics of pulse current occurring in electrochemical machining of aviation materials have been studied. Based on integrating the experimental results and comprehensive electrochemical machining process data modeling, a subsystem for computer-aided design of electrochemical machining for gas turbine engine blades has been developed; the subsystem was implemented in the Teamcenter PLM system.

Computer aided virtual manufacturing using Creo parametric easy to learn step by step guide

CERN Document Server

Kanife, Paul Obiora

2016-01-01

Providing a step-by-step guide for the implementation of virtual manufacturing using Creo Parametric software (formerly known as Pro-Engineer), this book creates an engaging and interactive learning experience for manufacturing engineering students. Featuring graphic illustrations of simulation processes and operations, and written in accessible English to promote user-friendliness, the book covers key topics in the field including: the engraving machining process, face milling, profile milling, surface milling, volume rough milling, expert machining, electric discharge machining (EDM), and area turning using the lathe machining process. Maximising reader insights into how to simulate material removal processes, and how to generate cutter location data and G-codes data, this valuable resource equips undergraduate, postgraduate, BTech and HND students in the fields of manufacturing engineering, computer aided design (CAD) and computer aided engineering (CAE) with transferable skills and knowledge. This book is...

Recent HIV Testing Among Young Men Who Have Sex with Men in Bangkok and Chiang Mai: HIV Testing and Prevention Strategies Must Be Enhanced in Thailand.

Science.gov (United States)

Johnston, Lisa G; Steinhaus, Mara C; Sass, Justine; Sirinirund, Petchsri; Lee, Catherine; Benjarattanaporn, Patchara; Gass, Robert

2016-09-01

HIV infection among men who have sex with men, particularly in Thai urban settings and among younger cohorts, is escalating. HIV testing and counseling (HTC) are important for prevention and obtaining treatment and care. We examine data from a 2013 survey of males, 15-24 years, reporting past-year sex with a male and living in Bangkok or Chiang Mai. Almost three quarters of young MSM (YMSM) in Bangkok and only 27 % in Chiang Mai had an HIV test in the previous year. Associations for HIV testing varied between cities, although having employment increased the odds of HIV testing for both cities. In Bangkok, family knowledge of same sex attraction and talking to parents/guardians about HIV/AIDS had higher odds of HIV testing. Expanded HTC coverage is needed for YMSM in Chiang Mai. All health centers providing HTC, including those targeting MSM, need to address the specific needs of younger cohorts.

O cuidado a pessoas com HIV/aids na perspectiva de profissionais de saude

Directory of Open Access Journals (Sweden)

Carla Sofia de Oliveira Sousa

2013-08-01

Full Text Available Este estudo teve por objetivo compreender o cuidado as pessoas com HIV/aids, na perspectiva de profissionais de saúde, em Portugal. Foi desenvolvido através do método da história oral, de Thompson, com a participação de 22 profissionais de saúde. Os dados foram obtidos através de entrevista semiestruturada e analisados com base na perspectiva de coletânea de narrativas, propostas pelo autor com o apoio do programa QSR NVivo. Os aspectos éticos foram obedecidos ao longo do estudo. O cuidado foi agrupado em três dimensões: cognitiva, afetiva-relacional e técnico-instrumental. A dimensão cognitiva destacou-se no período da revelação do diagnóstico de HIV/aids e ao longo da evolução da doença. A dimensão afetivo-relacional foi transversal e valorizada em todo o processo, desde o diagnóstico até à morte das pessoas com HIV/aids. A dimensão técnico-instrumental foi mais expressiva na fase mais avançada da doença, em situação de dependência e de terminalidade. Diante do exposto, podemos concluir que estas três dimensões são fundamentais para o cuidado à pessoa com HIV/aids.

Automation-aided Task Loads Index based on the Automation Rate Reflecting the Effects on Human Operators in NPPs

International Nuclear Information System (INIS)

Lee, Seungmin; Seong, Poonghyun; Kim, Jonghyun

2013-01-01

Many researchers have found that a high automation rate does not guarantee high performance. Therefore, to reflect the effects of automation on human performance, a new estimation method of the automation rate that considers the effects of automation on human operators in nuclear power plants (NPPs) was suggested. These suggested measures express how much automation support human operators but it cannot express the change of human operators' workload, whether the human operators' workload is increased or decreased. Before considering automation rates, whether the adopted automation is good or bad might be estimated in advance. In this study, to estimate the appropriateness of automation according to the change of the human operators' task loads, automation-aided task loads index is suggested based on the concept of the suggested automation rate. To insure plant safety and efficiency on behalf of human operators, various automation systems have been installed in NPPs, and many works which were previously conducted by human operators can now be supported by computer-based operator aids. According to the characteristics of the automation types, the estimation method of the system automation and the cognitive automation rate were suggested. The proposed estimation method concentrates on the effects of introducing automation, so it directly express how much the automated system support human operators. Based on the suggested automation rates, the way to estimate how much the automated system can affect the human operators' cognitive task load is suggested in this study. When there is no automation, the calculated index is 1, and it means there is no change of human operators' task load

The research on construction and application of machining process knowledge base

Science.gov (United States)

Zhao, Tan; Qiao, Lihong; Qie, Yifan; Guo, Kai

2018-03-01

In order to realize the application of knowledge in machining process design, from the perspective of knowledge in the application of computer aided process planning(CAPP), a hierarchical structure of knowledge classification is established according to the characteristics of mechanical engineering field. The expression of machining process knowledge is structured by means of production rules and the object-oriented methods. Three kinds of knowledge base models are constructed according to the representation of machining process knowledge. In this paper, the definition and classification of machining process knowledge, knowledge model, and the application flow of the process design based on the knowledge base are given, and the main steps of the design decision of the machine tool are carried out as an application by using the knowledge base.

Machine learning techniques for breast cancer computer aided diagnosis using different image modalities: A systematic review.

Science.gov (United States)

Yassin, Nisreen I R; Omran, Shaimaa; El Houby, Enas M F; Allam, Hemat

2018-03-01

The high incidence of breast cancer in women has increased significantly in the recent years. Physician experience of diagnosing and detecting breast cancer can be assisted by using some computerized features extraction and classification algorithms. This paper presents the conduction and results of a systematic review (SR) that aims to investigate the state of the art regarding the computer aided diagnosis/detection (CAD) systems for breast cancer. The SR was conducted using a comprehensive selection of scientific databases as reference sources, allowing access to diverse publications in the field. The scientific databases used are Springer Link (SL), Science Direct (SD), IEEE Xplore Digital Library, and PubMed. Inclusion and exclusion criteria were defined and applied to each retrieved work to select those of interest. From 320 studies retrieved, 154 studies were included. However, the scope of this research is limited to scientific and academic works and excludes commercial interests. This survey provides a general analysis of the current status of CAD systems according to the used image modalities and the machine learning based classifiers. Potential research studies have been discussed to create a more objective and efficient CAD systems. Copyright © 2017 Elsevier B.V. All rights reserved.

Performance Evaluation of Machine Learning Methods for Leaf Area Index Retrieval from Time-Series MODIS Reflectance Data

Science.gov (United States)

Wang, Tongtong; Xiao, Zhiqiang; Liu, Zhigang

2017-01-01

Leaf area index (LAI) is an important biophysical parameter and the retrieval of LAI from remote sensing data is the only feasible method for generating LAI products at regional and global scales. However, most LAI retrieval methods use satellite observations at a specific time to retrieve LAI. Because of the impacts of clouds and aerosols, the LAI products generated by these methods are spatially incomplete and temporally discontinuous, and thus they cannot meet the needs of practical applications. To generate high-quality LAI products, four machine learning algorithms, including back-propagation neutral network (BPNN), radial basis function networks (RBFNs), general regression neutral networks (GRNNs), and multi-output support vector regression (MSVR) are proposed to retrieve LAI from time-series Moderate Resolution Imaging Spectroradiometer (MODIS) reflectance data in this study and performance of these machine learning algorithms is evaluated. The results demonstrated that GRNNs, RBFNs, and MSVR exhibited low sensitivity to training sample size, whereas BPNN had high sensitivity. The four algorithms performed slightly better with red, near infrared (NIR), and short wave infrared (SWIR) bands than red and NIR bands, and the results were significantly better than those obtained using single band reflectance data (red or NIR). Regardless of band composition, GRNNs performed better than the other three methods. Among the four algorithms, BPNN required the least training time, whereas MSVR needed the most for any sample size. PMID:28045443

Smart machine protection system

International Nuclear Information System (INIS)

Clark, S.; Nelson, D.; Grillo, A.

1992-01-01

A Machine Protection System implemented on the SLC automatically controls the beam repetition rates in the accelerator so that radiation or temperature faults slow the repetition rate to bring the fault within tolerance without shutting down the machine. This process allows the accelerators to aid in the fault diagnostic process, and the protection system automatically restores the beams back to normal rates when the fault is diagnosed and corrected. The user interface includes facilities to monitor the performance of the system, and track rate limits, faults, and recoveries. There is an edit facility to define the devices to be included in the protection system, along with their set points, limits, and trip points. This set point and limit data is downloaded into the CAMAC modules, and the configuration data is complied into a logical decision tree for the 68030 processor. (author)

Smart Machine Protection System

International Nuclear Information System (INIS)

Clark, S.; Nelson, D.; Grillo, A.; Spencer, N.; Hutchinson, D.; Olsen, J.; Millsom, D.; White, G.; Gromme, T.; Allison, S.; Underwood, K.; Zelazny, M.; Kang, H.

1991-11-01

A Machine Protection System implemented on the SLC automatically controls the beam repetition rates in the accelerator so that radiation or temperature faults slow the repetition rate to bring the fault within tolerance without shutting down the machine. This process allows the accelerator to aid in the fault diagnostic process, and the protection system automatically restores the beams back to normal rates when the fault is diagnosed and corrected. The user interface includes facilities to monitor the performance of the system, and track rate limits, faults, and recoveries. There is an edit facility to define the devices to be included in the protection system, along with their set points, limits, and trip points. This set point and limit data is downloaded into the CAMAC modules, and the configuration data is compiled into a logical decision tree for the 68030 processor. 3 figs

Robotic devices and brain-machine interfaces for hand rehabilitation post-stroke.

Science.gov (United States)

McConnell, Alistair C; Moioli, Renan C; Brasil, Fabricio L; Vallejo, Marta; Corne, David W; Vargas, Patricia A; Stokes, Adam A

2017-06-28

To review the state of the art of robotic-aided hand physiotherapy for post-stroke rehabilitation, including the use of brain-machine interfaces. Each patient has a unique clinical history and, in response to personalized treatment needs, research into individualized and at-home treatment options has expanded rapidly in recent years. This has resulted in the development of many devices and design strategies for use in stroke rehabilitation. The development progression of robotic-aided hand physiotherapy devices and brain-machine interface systems is outlined, focussing on those with mechanisms and control strategies designed to improve recovery outcomes of the hand post-stroke. A total of 110 commercial and non-commercial hand and wrist devices, spanning the 2 major core designs: end-effector and exoskeleton are reviewed. The growing body of evidence on the efficacy and relevance of incorporating brain-machine interfaces in stroke rehabilitation is summarized. The challenges involved in integrating robotic rehabilitation into the healthcare system are discussed. This review provides novel insights into the use of robotics in physiotherapy practice, and may help system designers to develop new devices.

Automation-aided Task Loads Index based on the Automation Rate Reflecting the Effects on Human Operators in NPPs

Energy Technology Data Exchange (ETDEWEB)

Lee, Seungmin; Seong, Poonghyun [Korea Advanced Institute of Science and Technology, Daejeon (Korea, Republic of); Kim, Jonghyun [KEPCO International Nuclear Graduate School, Ulsan (Korea, Republic of)

2013-05-15

Many researchers have found that a high automation rate does not guarantee high performance. Therefore, to reflect the effects of automation on human performance, a new estimation method of the automation rate that considers the effects of automation on human operators in nuclear power plants (NPPs) was suggested. These suggested measures express how much automation support human operators but it cannot express the change of human operators' workload, whether the human operators' workload is increased or decreased. Before considering automation rates, whether the adopted automation is good or bad might be estimated in advance. In this study, to estimate the appropriateness of automation according to the change of the human operators' task loads, automation-aided task loads index is suggested based on the concept of the suggested automation rate. To insure plant safety and efficiency on behalf of human operators, various automation systems have been installed in NPPs, and many works which were previously conducted by human operators can now be supported by computer-based operator aids. According to the characteristics of the automation types, the estimation method of the system automation and the cognitive automation rate were suggested. The proposed estimation method concentrates on the effects of introducing automation, so it directly express how much the automated system support human operators. Based on the suggested automation rates, the way to estimate how much the automated system can affect the human operators' cognitive task load is suggested in this study. When there is no automation, the calculated index is 1, and it means there is no change of human operators' task load.

Bureau of Radiological Health publications index

International Nuclear Information System (INIS)

1979-08-01

The Key Word in Context (KWIC) index to the publications of the Bureau of Radiological Health was prepared to aid in the retrieval and identification of publications originated or authored by Bureau staff or published by the Bureau. These publications include journal articles, government publications and technical reports, selected staff papers, and Bureau news releases issued by HEW. For convenience, the document is divided into four sections, KWIC Index, Author Index, Bibliography Index, and BRH Publications Subject Index

Gelcasting compositions having improved drying characteristics and machinability

Science.gov (United States)

Janney, Mark A.; Walls, Claudia A. H.

2001-01-01

A gelcasting composition has improved drying behavior, machinability and shelf life in the dried and unfired state. The composition includes an inorganic powder, solvent, monomer system soluble in the solvent, an initiator system for polymerizing the monomer system, and a plasticizer soluble in the solvent. Dispersants and other processing aides to control slurry properties can be added. The plasticizer imparts an ability to dry thick section parts, to store samples in the dried state without cracking under conditions of varying relative humidity, and to machine dry gelcast parts without cracking or chipping. A method of making gelcast parts is also disclosed.

Computer-aided design studies of the homopolar linear synchronous motor

Science.gov (United States)

Dawson, G. E.; Eastham, A. R.; Ong, R.

1984-09-01

The linear induction motor (LIM), as an urban transit drive, can provide good grade-climbing capabilities and propulsion/braking performance that is independent of steel wheel-rail adhesion. In view of its 10-12 mm airgap, the LIM is characterized by a low power factor-efficiency product of order 0.4. A synchronous machine offers high efficiency and controllable power factor. An assessment of the linear homopolar configuration of this machine is presented as an alternative to the LIM. Computer-aided design studies using the finite element technique have been conducted to identify a suitable machine design for urban transit propulsion.

Machinability of an experimental Ti-Ag alloy in terms of tool life in a dental CAD/CAM system.

Science.gov (United States)

Inagaki, Ryoichi; Kikuchi, Masafumi; Takahashi, Masatoshi; Takada, Yukyo; Sasaki, Keiichi

2015-01-01

Titanium is difficult to machine because of its intrinsic properties. In a previous study, the machinability of titanium was improved by alloying with silver. This study aimed to evaluate the durability of tungsten carbide burs after the fabrication of frameworks using a Ti-20%Ag alloy and titanium with a computer-aided design and computer-aided manufacturing system. There was a significant difference in attrition area ratio between the two metals. Compared with titanium, the ratio of the area of attrition of machining burs was significantly lower for the experimental Ti-20%Ag alloy. The difference in the area of attrition for titanium and Ti-20%Ag became remarkable with increasing number of machining operations. The results show that the same burs can be used for a longer time with Ti-20%Ag than with pure titanium. Therefore, in terms of tool life, the machinability of the Ti-20%Ag alloy is superior to that of titanium.

Risk factors affecting injury severity determined by the MAIS score.

Science.gov (United States)

Ferreira, Sara; Amorim, Marco; Couto, Antonio

2017-07-04

Traffic crashes result in a loss of life but also impact the quality of life and productivity of crash survivors. Given the importance of traffic crash outcomes, the issue has received attention from researchers and practitioners as well as government institutions, such as the European Commission (EC). Thus, to obtain detailed information on the injury type and severity of crash victims, hospital data have been proposed for use alongside police crash records. A new injury severity classification based on hospital data, called the maximum abbreviated injury scale (MAIS), was developed and recently adopted by the EC. This study provides an in-depth analysis of the factors that affect injury severity as classified by the MAIS score. In this study, the MAIS score was derived from the International Classification of Diseases. The European Union adopted an MAIS score equal to or greater than 3 as the definition for a serious traffic crash injury. Gains are expected from using both police and hospital data because the injury severities of the victims are detailed by medical staff and the characteristics of the crash and the site of its occurrence are also provided. The data were obtained by linking police and hospital data sets from the Porto metropolitan area of Portugal over a 6-year period (2006-2011). A mixed logit model was used to understand the factors that contribute to the injury severity of traffic victims and to explore the impact of these factors on injury severity. A random parameter approach offers methodological flexibility to capture individual-specific heterogeneity. Additionally, to understand the importance of using a reliable injury severity scale, we compared MAIS with length of hospital stay (LHS), a classification used by several countries, including Portugal, to officially report injury severity. To do so, the same statistical technique was applied using the same variables to analyze their impact on the injury severity classified according to LHS

Machine learning and computer vision approaches for phenotypic profiling.

Science.gov (United States)

Grys, Ben T; Lo, Dara S; Sahin, Nil; Kraus, Oren Z; Morris, Quaid; Boone, Charles; Andrews, Brenda J

2017-01-02

With recent advances in high-throughput, automated microscopy, there has been an increased demand for effective computational strategies to analyze large-scale, image-based data. To this end, computer vision approaches have been applied to cell segmentation and feature extraction, whereas machine-learning approaches have been developed to aid in phenotypic classification and clustering of data acquired from biological images. Here, we provide an overview of the commonly used computer vision and machine-learning methods for generating and categorizing phenotypic profiles, highlighting the general biological utility of each approach. © 2017 Grys et al.

Man-machine cooperation in remote handling for fusion plants

International Nuclear Information System (INIS)

Leinemann, K.

1984-01-01

Man-machine cooperation in remote handling for fusion plants comprises cooperation for design of equipment and planning of procedures using a CAD system, and cooperation during operation of the equipment with computer aided telemanipulation systems (CAT). This concept is presently being implemented for support of slave positioning, camera tracking, and camera alignment in the KfK manipulator test facility. The pilot implementation will be used to test various man-machine interface layouts, and to establish a set of basic buildings blocks for future implementations of advanced remote handling control systems. (author)

Man-machine supervision; Supervision homme-machine

Energy Technology Data Exchange (ETDEWEB)

Montmain, J. [CEA Valrho, Dir. de l' Energie Nucleaire (DEN), 30 - Marcoule (France)

2005-05-01

Today's complexity of systems where man is involved has led to the development of more and more sophisticated information processing systems where decision making has become more and more difficult. The operator task has moved from operation to supervision and the production tool has become indissociable from its numerical instrumentation and control system. The integration of more and more numerous and sophisticated control indicators in the control room does not necessary fulfill the expectations of the operation team. It is preferable to develop cooperative information systems which are real situation understanding aids. The stake is not the automation of operators' cognitive tasks but the supply of a reasoning help. One of the challenges of interactive information systems is the selection, organisation and dynamical display of information. The efficiency of the whole man-machine system depends on the communication interface efficiency. This article presents the principles and specificities of man-machine supervision systems: 1 - principle: operator's role in control room, operator and automation, monitoring and diagnosis, characteristics of useful models for supervision; 2 - qualitative reasoning: origin, trends, evolutions; 3 - causal reasoning: causality, causal graph representation, causal and diagnostic graph; 4 - multi-points of view reasoning: multi flow modeling method, Sagace method; 5 - approximate reasoning: the symbolic numerical interface, the multi-criteria decision; 6 - example of application: supervision in a spent-fuel reprocessing facility. (J.S.)

Using Machine Learning for Land Suitability Classification

African Journals Online (AJOL)

User

West African Journal of Applied Ecology, vol. ... evidence for the utility of machine learning methods in land suitability classification especially MCS methods. ... Artificial intelligence tools. ..... Numerical values of index for the various classes.

A portable continuous blood purification machine for emergency rescue in disasters.

Science.gov (United States)

He, Ping; Zhou, Chunhua; Li, Hongyan; Yu, Yongwu; Dong, Zhen; Wen, Yuanyuan; Li, Ping; Tang, Wenhong; Wang, Xue

2012-01-01

Continuous renal replacement therapy plays an important role in emergency rescue. Currently, no continuous renal replacement therapy machine can be used under unstable conditions as the fluid flow of these machines is controlled electronically. A novel machine that can provide emergency continuous renal replacement therapy in disaster rescue is therefore needed. Based on a volumetric metering method, a prototype portable continuous blood purifier based on a volumetric metering method was developed. Basic performance tests, special environmental tests, animal experiments and clinical use of the novel machine were completed to test and verify its performance under unstable conditions. All tests completed showed that the machine met the requirements of the national industry standards with a size reduced to approximately one half of the Baxter Aquarius machine. The clearance of harmful substances by the machine described here was equal to that of the Baxter Aquarius machine and was adequate for clinical purposes. The novel prototype performed well in all situations tested and can aid rescue work on disaster sites. Copyright © 2012 S. Karger AG, Basel.

MySQL based selection of appropriate indexing technique in ...

African Journals Online (AJOL)

Administrator

Keywords: B-tree indexing, MySQL, Support vector machine, Smart card. 1. ..... SVM are strong classifiers in the field of machine learning and we will be using ..... We acknowledge Mr. Abhishek Roy, student of NIT Surathkal for his help in the ...

Development of Multimedia Teaching Aids for Selected Physics Sub ...

African Journals Online (AJOL)

... Aids for Selected Physics Sub-Topics from the Topic of Simple Machine in Tanzanian ... Log in or Register to get access to full text downloads. ... of them were motivated to learn the subject; thus, improving their way of learning the subject.

What is the machine learning?

Science.gov (United States)

Chang, Spencer; Cohen, Timothy; Ostdiek, Bryan

2018-03-01

Applications of machine learning tools to problems of physical interest are often criticized for producing sensitivity at the expense of transparency. To address this concern, we explore a data planing procedure for identifying combinations of variables—aided by physical intuition—that can discriminate signal from background. Weights are introduced to smooth away the features in a given variable(s). New networks are then trained on this modified data. Observed decreases in sensitivity diagnose the variable's discriminating power. Planing also allows the investigation of the linear versus nonlinear nature of the boundaries between signal and background. We demonstrate the efficacy of this approach using a toy example, followed by an application to an idealized heavy resonance scenario at the Large Hadron Collider. By unpacking the information being utilized by these algorithms, this method puts in context what it means for a machine to learn.

Histopathological diagnosis of eyelid tumors in Chiang Mai University Hospital.

Science.gov (United States)

Nithithanaphat, Chanut; Ausayakhun, Sakarin; Wiwatwongwana, Damrong; Mahanupab, Pongsak

2014-10-01

To report the histopathological diagnosis ofeyelid tumors and to study the prevalence of eyelid tumors in Chiang Mai University Hospital Chiang Mai, Thailand. A retrospective review of medical and pathological records ofpatients diagnosed as eyelid tumor that underwent histopathological biopsy between January 2007 and December 2013 in Chiang Mai University Hospital was done. Three hundred sixteen cases of eyelid tumors were reviewed. The mean age at diagnosis was 54.2 +/- 19.6 years (range 1 month-99 years), women were 59.5% (n = 188) and men 40.5% (n = 128). The tumor sites were left lower eyelid (27.5%), right upper eyelid (24.4%), right lower eyelid (21.2%), and left upper eyelid (18.7%). There were 204 (64.6%) benign tumors and 112 (35.4%) malignant tumors. Nevi were the most common in benign group (16.4%) and basal cell carcinoma was the most common eyelid malignancy (18.0%). The most common histopathological diagnosis for benign eyelid tumor was nevus, while the most common malignant eyelid tumor was basal cell carcinoma at Chiang Mai University Hospital.

A new accurate curvature matching and optimal tool based five-axis machining algorithm

International Nuclear Information System (INIS)

Lin, Than; Lee, Jae Woo; Bohez, Erik L. J.

2009-01-01

Free-form surfaces are widely used in CAD systems to describe the part surface. Today, the most advanced machining of free from surfaces is done in five-axis machining using a flat end mill cutter. However, five-axis machining requires complex algorithms for gouging avoidance, collision detection and powerful computer-aided manufacturing (CAM) systems to support various operations. An accurate and efficient method is proposed for five-axis CNC machining of free-form surfaces. The proposed algorithm selects the best tool and plans the tool path autonomously using curvature matching and integrated inverse kinematics of the machine tool. The new algorithm uses the real cutter contact tool path generated by the inverse kinematics and not the linearized piecewise real cutter location tool path

Integrated computer-aided design using minicomputers

Science.gov (United States)

Storaasli, O. O.

1980-01-01

Computer-Aided Design/Computer-Aided Manufacturing (CAD/CAM), a highly interactive software, has been implemented on minicomputers at the NASA Langley Research Center. CAD/CAM software integrates many formerly fragmented programs and procedures into one cohesive system; it also includes finite element modeling and analysis, and has been interfaced via a computer network to a relational data base management system and offline plotting devices on mainframe computers. The CAD/CAM software system requires interactive graphics terminals operating at a minimum of 4800 bits/sec transfer rate to a computer. The system is portable and introduces 'interactive graphics', which permits the creation and modification of models interactively. The CAD/CAM system has already produced designs for a large area space platform, a national transonic facility fan blade, and a laminar flow control wind tunnel model. Besides the design/drafting element analysis capability, CAD/CAM provides options to produce an automatic program tooling code to drive a numerically controlled (N/C) machine. Reductions in time for design, engineering, drawing, finite element modeling, and N/C machining will benefit productivity through reduced costs, fewer errors, and a wider range of configuration.

Plasma hot machining for difficult-to-cut materials, 1

International Nuclear Information System (INIS)

Kitagawa, Takeaki; Maekawa, Katsuhiro; Kubo, Akihiko

1987-01-01

Machinability of difficult-to-cut materials has been a great concern to manufacturing engineers since demands for new materials in the aerospace and nuclear industries are more and more increasing. The purpose of this study is to develop a hot machining to improve machinability of high hardness materials. A plasma arc is used for heating materials cut. The surface just after being heated is removed as a chip by tungsten carbide tools. The turning experiments of high hardness steels with aid of plasma arc heating show not only the decrease in cutting forces but also the following effectiveness: (1) The application of the plasma hot machining to the condition, under which a built-up edge (BUE) appears in turning 0.46%C steel, makes the BUE disappeared, bringing less flank wear. (2) In the case of 18%Mn steel cutting, deep groove wear on the end-cutting edge diminishes, and roughness of the machined surface is improved by the prevention from chatter. (3) Although the chilled cast iron has high hardness of above HB = 350, the plasma hot machining makes it possible to cut it with tungsten carbide tools having less chipping and flank wear. (author)

Manufacturing of a micro-tungsten carbide electrode using a supersonic-aided electrolysis process

International Nuclear Information System (INIS)

Weng, Feng-Tsai; Ho, Chi-Ting

2008-01-01

In this study, a novel micromachining technology for fabricating micro parts was described. The original diameter of a tungsten carbide rod was 3 mm, and it was first processed to a rod with a diameter of 50 µm by a precision-grinding process. It could then be machined to the desired diameter by a supersonic-aided electrolysis process. A high-aspect ratio of the micro-tungsten carbide rod was easily obtained by this process. The surface roughness of the sample that was processed by electrolysis with supersonic-aided agitation was compared with that of the sample obtained without agitation. The machined surface of the sample was smooth, and the reason may be that ionized particles in the anode could be removed by supersonic-aided agitation during the electrolysis process. A microelectrode with a tip of approximately 1 µm could be obtained by this process. (technical note)

A Dynamic Simulation Model of the Management Accounting Information Systems (MAIS)

Science.gov (United States)

Konstantopoulos, Nikolaos; Bekiaris, Michail G.; Zounta, Stella

2007-12-01

The aim of this paper is to examine the factors which determine the problems and the advantages on the design of management accounting information systems (MAIS). A simulation is carried out with a dynamic model of the MAIS design.

A reliable and valid index was developed to measure appropriate psychotropic drug use in dementia

NARCIS (Netherlands)

van der Spek, K.; Gerritsen, D.L.; Smalbrugge, M.; Nelissen-Vrancken, M.H.J.M.; Wetzels, R.B.; Smeets, C.H.W.; Zuidema, S.U.; Koopmans, R.T.C.M.

2015-01-01

Objectives The aim of this study was to develop an index derived from the Medication Appropriateness Index (MAI) items that is suited for clinical studies evaluating appropriateness of psychotropic drug use (PDU) for neuropsychiatric symptoms (NPS) in patients with dementia in nursing homes and to

PREZICEREA PERFORMANŢELOR STUDENŢILOR FOLOSIND ÎNVĂŢAREA AUTOMATĂ (Machine Learning

Directory of Open Access Journals (Sweden)

Maria CRISTEI

2017-08-01

Full Text Available În prezent, învăţarea automată (machine learning ocupă un loc important în inteligenţa artificială, preocupându-se de dezvoltarea algoritmilor ce permit unui sistem informatic să înveţe date, reguli şi algoritmi. Învăţarea automată pre­supune în primul rând identificarea şi implementarea unei modalităţi cât mai eficiente de reprezentare a informaţiilor, în sensul facilitării căutării, reorganizării şi modificării acestora. În acest sens, în prezentul articol se descrie utilitatea şi aplicabilitatea tehnicilor de învăţare automată supervizată la problemele de predicţie şi implementarea acestora în dez­vol­tarea aplicaţiilor informatice. Aplicaţia elaborată este unică prin felul ei de executare a modelului machine learning de predicţie. Metodologia folosită în aplicaţia elaborată este mixtă, cuprinzând tehnologii complexe de ultimă oră: mediul de dezvoltare Jupyter Notebook, limbajul de programare Python împreună cu cele mai populare librării ale acestuia utilizate în machine learning, instrumente de dezvoltare a aplicaţiei web Flask.PREDICTING STUDENT PERFORMANCE USING MACHINE LEARNINGAt present, machine learning occupies an important place in artificial intelligence, and is concerned with the development of algorithms that allow an information system to learn data, rules, and algorithms. Automatic learning involves first and foremost the identification and implementation of a more efficient way of representing information in order to facilitate search, reorganization and change. In this respect, this article describes the utility and applicability of supervised auto­mated learning techniques to prediction problems and their implementation in the development of computer applications. The elaborate application is unique in its way of executing the Machine learning prediction model. The methodology used in the developed application is mixed, including state-of-the-art complex

Comparative analysis of partial imaging performance parameters of home and imported X-ray machines

International Nuclear Information System (INIS)

Cao Yunxi; Wang Xianyun; Liu Huiqin; Guo Yongxin

2002-01-01

Objective: To compare and analyze the performance indexes and the imaging quality of the home and imported X-ray machines through testing their partial imaging performance parameters. Methods: By separate sampling from 10 home and 10 imported X-ray machines, the parameters including tube current, time of exposure, machine total exposure, and repeatability were tested, and the imaging performance was evaluated according to the national standard. Results: All the performance indexes met the standard of GB4505-84. The first sampling tests showed the maximum changing coefficient of imaging performance repeatability of the home X-ray machines was Δmax1 = 0.025, while that of the imported X-ray machine was Δmax1 = 0.016. In the second sampling tests, the maximum changing coefficients of the two were Δmax2 = 0.048 and Δmax2 = 0.022, respectively. Conclusion: The 2 years' follow-up tests indicate that there is no significant difference between the above-mentioned parameters of the elaborately adjusted home X-ray machines and imported ones, but the home X-ray machines are no better than the imported X-ray machines in stability and consistency

Transformações da "aids aguda" para a "aids crônica": percepção corporal e intervenções cirúrgicas entre pessoas vivendo com HIV e aids From "acute AIDS" to "chronic AIDS": body perception and surgical interventions in people living with HIV and AIDS

Directory of Open Access Journals (Sweden)

Tatianna Meireles Dantas de Alencar

2008-12-01

Full Text Available Após dez anos de uso da terapia anti-retroviral de alta potência, um novo problema surge: a síndrome lipodistrófica do HIV, uma distribuição irregular de gordura no corpo, decorrente do uso das medicações anti-retrovirais. Se no início da epidemia, a aids era caracterizada, sobretudo, pela magreza, hoje - tempos de "aids crônica"- estamos, uma vez mais, diante do estigma sobre o corpo, só que, paradoxalmente, com sinal trocado - o acúmulo "desordenado" de gordura no corpo. Este artigo apresenta e compara as mudanças corporais percebidas por pessoas que vivem com HIV e aids, ocorridas nos últimos anos da epidemia, com a utilização dos anti-retrovirais. Foram analisadas 32 entrevistas qualitativas com pessoas vivendo com HIV e aids, realizadas nos anos de 1999 e 2005. Ao nos depararmos com as novas questões emergentes e analisarmos sua interação com a crescente disponibilidade e utilização de tecnologias, fica a forte sensação de ressurgimento, sob nova forma, dos mesmos paradoxos previamente existentes nos tempos da aids aguda: o impacto dos sinais e um certo tipo de ressurgimento da desesperança quanto ao futuro de vida dessas pessoas.The Brazilian government has been providing free and universal access to the HAART therapy for people living with HIV and AIDS for ten years. Since then, many epidemiological characteristics have changed, and AIDS passed scientifically and medically to be classified as a chronic condition. This qualitative study aims to comprehend the challenges posed by self-perception of body changes experienced by people living with AIDS during recent years, as a result of prolonged use of antiretroviral medication.With this purpose, in 1999 and 2005, 32 semi-structured interviews with HIV positive individuals were held in the State of Sao Paulo to capture the challenges occurred during this period, in particular with regard to the lipodystrophy syndrome. The analysis of the data indicates that even with

Auditorijas attieksme pret AS "Latvenergo" zīmola maiņu

OpenAIRE

Jemeļjanova, Kristīne

2009-01-01

Darba tēma ir „Auditorijas attieksme pret AS „Latvenergo” zīmola maiņu”, kura mērķis ir noskaidrot: vai auditorija ir pamanījusi Latvenergo zīmola maiņu, tādā veidā uzzinot, vai komunikācija ir bijusi sekmīga un kāda ir tās attieksme pret pārradīto zīmolu Darbā ir aplūkota teorija par zīmolu, zīmola maiņas stratēģiju, komunikāciju zīmola maiņas gadījumā un mērķauditoriju. Darba pētījums tiek veikts ar divu pētniecību metožu palīdzību – interviju un aptauju. Ir izvirzīta darba hipotēze,...

[AIDS research and prevention strategies in Thailand].

Science.gov (United States)

Leisch, H

1997-04-01

The first case of AIDS was registered in Thailand in 1984; this syndrome was deemed to be mainly a disease affecting homosexuals and foreigners. However, soon thereafter its incidence among prostitutes and intravenous drug users increased. According to 1995 data, the number of AIDS patients was about 20,000 and there were approximately 800,000 HIV-positive people. A 1991 map of the AIDS incidence showed that, after the Bangkok metropolitan area, the province of Chiang Mai in the north exhibited a particularly high rate of infection. According to a medium-range forecast, by the year 2010 there will be close to 2.3 million cumulative HIV infection cases and 1.2 million AIDS cases in Thailand. This corresponds to an infection rate of about 3.2% vs. the present 2%. It is estimated that about 20% of all mortality in the age range of 20-48 years in the year 2000 will be caused by AIDS. In 1995, the prime minister predicted that AIDS would cause a 20% drop of the GDP by 2000. The boom of the economy in the 1980s and the early 1990s led to migration to the cities, where prostitution and drug use are rampant, as well as to the emergence of sex tourism, mainly from Germany (40,000-60,000 Germans traveled to Thailand in 1990). The age-old tradition among married men of seeking out the services of prostitutes, lack of condom use (only 20% of men intend to use it, according to recent studies), and disregard for the AIDS problem among the populace are other factors contributing to the rapid spread of AIDS. UNAIDS has undertaken sex education and other information campaigns to counter the epidemic.

Quais os suplementos alimentares mais utilizados?

Directory of Open Access Journals (Sweden)

Alex Bisotto Ferreira

2016-07-01

Full Text Available O consumo de suplementos alimentares tem sido muito utilizado e difundido por praticantes de atividade física, em especial a musculação por pessoas com objetivos de melhora em desempenho, redução de gordura corporal, aumento de massa muscular entre outros. Esta pesquisa tem como objetivo revisar sobre quais os suplementos alimentares são utilizados na atualidade, e destacar o mais utilizado. A fonte dos dados é uma pesquisa bibliográfica realizada em média dos últimos 15 anos, foram examinados 232 estudos, sendo selecionados 48. Os suplementos alimentares discutidos nesse artigo foram: Carboidratos, vitaminas e minerais, l-carnitina, creatina, proteínas e aminoácidos. O principal motivo para a utilização de suplementos foi o aumento de massa muscular, predominantemente indicado por professores, instrutores e treinadores, apesar da grande variedade, os suplementos mais utilizados são as proteínas e aminoácidos, e, na maioria dos casos com o intuito de aumentar a massa muscular e melhorar sua recuperação.

Isolation of Cryptococcus gattii from a Castanopsis argyrophylla tree hollow (Mai-Kaw), Chiang Mai, Thailand.

Science.gov (United States)

Khayhan, Kantarawee; Hagen, Ferry; Norkaew, Treepradab; Puengchan, Tanpalang; Boekhout, Teun; Sriburee, Pojana

2017-04-01

The pathogenic yeast Cryptococcus gattii was isolated from a tree hollow of a Castanopsis argyrophylla King ex Hook.f. (Fagaceae) in Chiang Mai, Thailand. Molecular characterization with amplified fragment length polymorphism analysis and multi-locus sequence typing showed that this isolate belonged to genotype AFLP4/VGI representing C. gattii sensu stricto. Subsequent comparison of the environmental isolate with those from clinical samples from Thailand showed that they grouped closely together in a single cluster.

Computer aided detection in prostate cancer diagnostics: A promising alternative to biopsy? A retrospective study from 104 lesions with histological ground truth.

Directory of Open Access Journals (Sweden)

Anika Thon

Full Text Available Prostate cancer (PCa diagnosis by means of multiparametric magnetic resonance imaging (mpMRI is a current challenge for the development of computer-aided detection (CAD tools. An innovative CAD-software (Watson Elementary™ was proposed to achieve high sensitivity and specificity, as well as to allege a correlate to Gleason grade.To assess the performance of Watson Elementary™ in automated PCa diagnosis in our hospital´s database of MRI-guided prostate biopsies.The evaluation was retrospective for 104 lesions (47 PCa, 57 benign from 79, 64.61±6.64 year old patients using 3T T2-weighted imaging, Apparent Diffusion Coefficient (ADC maps and dynamic contrast enhancement series. Watson Elementary™ utilizes signal intensity, diffusion properties and kinetic profile to compute a proportional Gleason grade predictor, termed Malignancy Attention Index (MAI. The analysis focused on (i the CAD sensitivity and specificity to classify suspect lesions and (ii the MAI correlation with the histopathological ground truth.The software revealed a sensitivity of 46.80% for PCa classification. The specificity for PCa was found to be 75.43% with a positive predictive value of 61.11%, a negative predictive value of 63.23% and a false discovery rate of 38.89%. CAD classified PCa and benign lesions with equal probability (P 0.06, χ2 test. Accordingly, receiver operating characteristic analysis suggests a poor predictive value for MAI with an area under curve of 0.65 (P 0.02, which is not superior to the performance of board certified observers. Moreover, MAI revealed no significant correlation with Gleason grade (P 0.60, Pearson´s correlation.The tested CAD software for mpMRI analysis was a weak PCa biomarker in this dataset. Targeted prostate biopsy and histology remains the gold standard for prostate cancer diagnosis.

Adaption of commercial off the shelf modules for reconfigurable machine tool design

CSIR Research Space (South Africa)

Mpofu, K

2008-01-01

Full Text Available . University of Ljubljana (Slovenia) Machine Design Approach. Butala and Sluga [4] view the architecture of the machine tool as a system structure which is reflected in its configuration and which impacts the systems performance. The interfaces... process movements. This approach was also implemented in a computer aided planning system, they clarify the need of having the features to be implemented embedded in the collective drives that constitute it. This resulted in an adaption...

Design of on-power fuelling machines

International Nuclear Information System (INIS)

Jackson, W.H.

2004-01-01

In May 1957, CGE was asked to design a fuelling machine for NPD2 Reactor. Two fuelling machines were required, one at each end of the reactor, that could either push the fuel bundles through the reactor or accept the bundles being pushed out. The machines had to connect on to the end fittings of the same tube, seal, fill with heavy water and pressure up to 1000 psi without external leaks. Each machine had to remove the tube seal plug from its end fitting and store it in an indexing magazine, which also had to hold up to six fuel bundles, or retrieve that many, if the magazine was empty. There was also the provision to store a spare plug. When finished moving fuel bundles, the tube plugs were to be replaced and tested for leaks, before the fuelling machines would be detached from the end fittings. This was all to be done by remote control. By late September 1957, sufficient design features were on paper and CGE management made a presentation to AECL at Chalk River Laboratories and this proposal was later accepted

Long-Term Precipitation Analysis and Estimation of Precipitation Concentration Index Using Three Support Vector Machine Methods

Directory of Open Access Journals (Sweden)

Milan Gocic

2016-01-01

Full Text Available The monthly precipitation data from 29 stations in Serbia during the period of 1946–2012 were considered. Precipitation trends were calculated using linear regression method. Three CLINO periods (1961–1990, 1971–2000, and 1981–2010 in three subregions were analysed. The CLINO 1981–2010 period had a significant increasing trend. Spatial pattern of the precipitation concentration index (PCI was presented. For the purpose of PCI prediction, three Support Vector Machine (SVM models, namely, SVM coupled with the discrete wavelet transform (SVM-Wavelet, the firefly algorithm (SVM-FFA, and using the radial basis function (SVM-RBF, were developed and used. The estimation and prediction results of these models were compared with each other using three statistical indicators, that is, root mean square error, coefficient of determination, and coefficient of efficiency. The experimental results showed that an improvement in predictive accuracy and capability of generalization can be achieved by the SVM-Wavelet approach. Moreover, the results indicated the proposed SVM-Wavelet model can adequately predict the PCI.

Gaussian processes for machine learning.

Science.gov (United States)

Seeger, Matthias

2004-04-01

Gaussian processes (GPs) are natural generalisations of multivariate Gaussian random variables to infinite (countably or continuous) index sets. GPs have been applied in a large number of fields to a diverse range of ends, and very many deep theoretical analyses of various properties are available. This paper gives an introduction to Gaussian processes on a fairly elementary level with special emphasis on characteristics relevant in machine learning. It draws explicit connections to branches such as spline smoothing models and support vector machines in which similar ideas have been investigated. Gaussian process models are routinely used to solve hard machine learning problems. They are attractive because of their flexible non-parametric nature and computational simplicity. Treated within a Bayesian framework, very powerful statistical methods can be implemented which offer valid estimates of uncertainties in our predictions and generic model selection procedures cast as nonlinear optimization problems. Their main drawback of heavy computational scaling has recently been alleviated by the introduction of generic sparse approximations.13,78,31 The mathematical literature on GPs is large and often uses deep concepts which are not required to fully understand most machine learning applications. In this tutorial paper, we aim to present characteristics of GPs relevant to machine learning and to show up precise connections to other "kernel machines" popular in the community. Our focus is on a simple presentation, but references to more detailed sources are provided.

Fotofestivalid Poolas : Krakov ja Lódź, mai 2009 / Marge Monko

Index Scriptorium Estoniae

Monko, Marge, 1976-

2009-01-01

Krakovi fotokuu (5.-31. mai) ja Lódźi fotofestivali (7.-31. mai) näitustest. Juudi päritolu fotograafi Weegee (sünd. 1899) näitusest, sakslase Bettina Flitneri seeriast "Boatpeople", Martin Kollari projektist "Twelve stars", Elodie Pong'i videost "I am a bomb", John Goto seeriast "John Goto's New World of Circus", Andrej Balco portreeseeriast "Doméstikas", Péter Pukluse tööst "Intimacy - no title", leeduka Petras Saulenase tööst "L'herbe est l'herbe mais ce n'est pas l'herbe", Ungari kunstnike näitusest "The Sunny Side", Oliver Kerni näitusest "The Glass Key"

Some aspects of finite element modelling of ultrasonically aided micro-EDM of CoCr alloys

Directory of Open Access Journals (Sweden)

Ghiculescu Daniel

2017-01-01

Full Text Available The paper deals with finite element modelling of micromachining CoCr alloys by ultrasonically aided electrical discharge machining. This hybrid machining process has two components: a thermal one due to EDM, and a mechanical one to ultrasonic assistance. Both components were modelled using Thermal and Structural Mechanics time dependent modules of Comsol Multiphysics. The results were compared with the experimental data obtained in our laboratories, proving a good agreement and offering some solutions for machining optimization.

Computer-aided translation tools

DEFF Research Database (Denmark)

Christensen, Tina Paulsen; Schjoldager, Anne

2016-01-01

in Denmark is rather high in general, but limited in the case of machine translation (MT) tools: While most TSPs use translation-memory (TM) software, often in combination with a terminology management system (TMS), only very few have implemented MT, which is criticised for its low quality output, especially......The paper reports on a questionnaire survey from 2013 of the uptake and use of computer-aided translation (CAT) tools by Danish translation service providers (TSPs) and discusses how these tools appear to have impacted on the Danish translation industry. According to our results, the uptake...

An Interactive Web-based Learning System for Assisting Machining Technology Education

Directory of Open Access Journals (Sweden)

Min Jou

2008-05-01

Full Text Available The key technique of manufacturing methods is machining. The degree of technique of machining directly affects the quality of the product. Therefore, the machining technique is of primary importance in promoting student practice ability during the training process. Currently, practical training is applied in shop floor to discipline student’s practice ability. Much time and cost are used to teach these techniques. Particularly, computerized machines are continuously increasing in use. The development of educating engineers on computerized machines becomes much more difficult than with traditional machines. This is because of the limitation of the extremely expensive cost of teaching. The quality and quantity of teaching cannot always be promoted in this respect. The traditional teaching methods can not respond well to the needs of the future. Therefore, this research aims to the following topics; (1.Propose the teaching strategies for the students to learning machining processing planning through web-based learning system. (2.Establish on-line teaching material for the computer-aided manufacturing courses including CNC coding method, CNC simulation. (3.Develop the virtual machining laboratory to bring the machining practical training to web-based learning system. (4.Integrate multi-media and virtual laboratory in the developed e-learning web-based system to enhance the effectiveness of machining education through web-based system.

Machine tool metrology an industrial handbook

CERN Document Server

Smith, Graham T

2016-01-01

Maximizing reader insights into the key scientific disciplines of Machine Tool Metrology, this text will prove useful for the industrial-practitioner and those interested in the operation of machine tools. Within this current level of industrial-content, this book incorporates significant usage of the existing published literature and valid information obtained from a wide-spectrum of manufacturers of plant, equipment and instrumentation before putting forward novel ideas and methodologies. Providing easy to understand bullet points and lucid descriptions of metrological and calibration subjects, this book aids reader understanding of the topics discussed whilst adding a voluminous-amount of footnotes utilised throughout all of the chapters, which adds some additional detail to the subject. Featuring an extensive amount of photographic-support, this book will serve as a key reference text for all those involved in the field. .

Computer Aided Analysis of TM-Multimode Planar Graded-index Optical Waveguides

International Nuclear Information System (INIS)

Ashry, M.; Nasr, A.S.; Abou El-Fadl, A.A.

2000-01-01

An algorithm is developed for analysis TM-Multimode Planar graded-index optical waveguides. A Modified Impedance Boundary Method of Moments (MIBMOM) for the analysis of planar graded-index optical waveguide structures is presented. The algorithm is used to calculate the dispersion characteristics and the field distribution of TM-multimode planar graded-index optical waveguides. The technique is based on Galerkin s procedure and the exact boundary condition at the interfaces between the graded index region and the step index cladding. Legendre polynomials are used as basis functions. The efficiency of this algorithm is examined with waveguides having various index profiles such as exponential, Gaussian and complementary error functions. The advantage of the MIBMOM is the complete solution of TM-multimode as presented which is very difficult by the other methods. With this algorithm a minimum number of basis functions to give accurate results is used. The obtained results show good agreement with the experimental results

Performance Analysis of Abrasive Waterjet Machining Process at Low Pressure

Science.gov (United States)

Murugan, M.; Gebremariam, MA; Hamedon, Z.; Azhari, A.

2018-03-01

Normally, a commercial waterjet cutting machine can generate water pressure up to 600 MPa. This range of pressure is used to machine a wide variety of materials. Hence, the price of waterjet cutting machine is expensive. Therefore, there is a need to develop a low cost waterjet machine in order to make the technology more accessible for the masses. Due to its low cost, such machines may only be able to generate water pressure at a much reduced rate. The present study attempts to investigate the performance of abrasive water jet machining process at low cutting pressure using self-developed low cost waterjet machine. It aims to study the feasibility of machining various materials at low pressure which later can aid in further development of an effective low cost water jet machine. A total of three different materials were machined at a low pressure of 34 MPa. The materials are mild steel, aluminium alloy 6061 and plastics Delrin®. Furthermore, a traverse rate was varied between 1 to 3 mm/min. The study on cutting performance at low pressure for different materials was conducted in terms of depth penetration, kerf taper ratio and surface roughness. It was found that all samples were able to be machined at low cutting pressure with varied qualities. Also, the depth of penetration decreases with an increase in the traverse rate. Meanwhile, the surface roughness and kerf taper ratio increase with an increase in the traverse rate. It can be concluded that a low cost waterjet machine with a much reduced rate of water pressure can be successfully used for machining certain materials with acceptable qualities.

AIDS e grau de escolaridade no Brasil: evolução temporal de 1986 a 1996

Directory of Open Access Journals (Sweden)

Maria Goretti Fonseca

Full Text Available Este trabalho analisa a evolução temporal dos casos de AIDS por grau de escolaridade como variável identificadora do nível sócio-econômico do caso. Todos os casos de AIDS em indivíduos com idades entre 20 e 69 anos, notificados até 29 de maio de 1999, diagnosticados entre 1986 e 1996, foram incluídos no estudo. As taxas de incidência para ambos os sexos foram calculadas segundo dois graus de escolaridade - "grau 1" (casos com até oito anos de estudo e "grau 2" (com mais de oito anos de estudo -, por região e ano de diagnóstico. Entre os homens, as taxas de incidência de AIDS para aqueles com menor escolaridade ultrapassam (sendo mais evidente na Região Sudeste ou se aproximam das taxas dos homens com maior escolaridade. Para as mulheres, a evolução temporal das taxas mostrou maior ritmo de crescimento entre as mulheres de menor escolaridade para todas as regiões, sendo que, na Sudeste, as taxas entre as mulheres com menor escolaridade ultrapassa as taxas daquelas com maior escolaridade em anos anteriores a 1989. Concluindo, a presente análise mostra, de forma consistente, que a epidemia de AIDS no Brasil se iniciou nos estratos sociais de maior escolaridade, com progressiva disseminação para os estratos sociais de menor escolaridade.

Stator fault detection for multi-phase machines with multiple reference frames transformation

DEFF Research Database (Denmark)

Bianchini, Claudio; Fornasiero, Emanuele; Matzen, T.N.

2009-01-01

The paper focuses on a new diagnostic index for fault detection of a five-phase permanent-magnet machine. This machine has been designed for fault tolerant applications, and it is characterized by a mutual inductance equal to zero and a high self inductance, in order to limit the short-circuit cu...

Experimental issues at ultrasonically aided micro-EDM of CoCr alloys

Directory of Open Access Journals (Sweden)

Marinescu Niculae

2017-01-01

Full Text Available The paper deals with researches of microtopography obtained at different working modes at ultrasonically aided micro-electrical discharge machining (μEDM+US and pure micro-EDM, using both commanded and relaxation pulses. Images of machined surface taken with scanning electron microscope were analyzed in correlation with chemical composition of samples detected by X rays spectrometer. This led to some explanations of material removal mechanism, aiming at improvement of process modelling and performances increase of μEDM+US.

Application of PROMETHEE-GAIA method for non-traditional machining processes selection

Directory of Open Access Journals (Sweden)

Prasad Karande

2012-10-01

Full Text Available With ever increasing demand for manufactured products of hard alloys and metals with high surface finish and complex shape geometry, more interest is now being paid to non-traditional machining (NTM processes, where energy in its direct form is used to remove material from workpiece surface. Compared to conventional machining processes, NTM processes possess almost unlimited capabilities and there is a strong believe that use of NTM processes would go on increasing in diverse range of applications. Presence of a large number of NTM processes along with complex characteristics and capabilities, and lack of experts in NTM process selection domain compel for development of a structured approach for NTM process selection for a given machining application. Past researchers have already attempted to solve NTM process selection problems using various complex mathematical approaches which often require a profound knowledge in mathematics/artificial intelligence from the part of process engineers. In this paper, four NTM process selection problems are solved using an integrated PROMETHEE (preference ranking organization method for enrichment evaluation and GAIA (geometrical analysis for interactive aid method which would act as a visual decision aid to the process engineers. The observed results are quite satisfactory and exactly match with the expected solutions.

Sine-Bar Attachment For Machine Tools

Science.gov (United States)

Mann, Franklin D.

1988-01-01

Sine-bar attachment for collets, spindles, and chucks helps machinists set up quickly for precise angular cuts that require greater precision than provided by graduations of machine tools. Machinist uses attachment to index head, carriage of milling machine or lathe relative to table or turning axis of tool. Attachment accurate to 1 minute or arc depending on length of sine bar and precision of gauge blocks in setup. Attachment installs quickly and easily on almost any type of lathe or mill. Requires no special clamps or fixtures, and eliminates many trial-and-error measurements. More stable than improvised setups and not jarred out of position readily.

Collaboration between Chiang Mai and Aarhus Universities

DEFF Research Database (Denmark)

Balslev, Henrik; Trisonthi, Chusie; Srithi, Kamonnate

2011-01-01

Thai-Danish botanical research collaboration started over 100 years ago with Schmidts work on the flora of Koh Chang. In the 1950es the collaboration was fortalized with the initiation of the Flora of Thailand project. The collaboration was for many years centered in the Royal Forest Department i...... projects involving ethnobotanical studies are still under way. The funding for these projects has come from the Royal Golden Jubilee Program, Chiang Mai University and Thai Government stipends, and from Aarhus University........ in Bangkok and involved a large amount of collaborative fieldwork, graduate and post-graduate training, and publication. Over the years the collaboration has been extended to several other institutions and universities. Recent activities of Aarhus University have involved joint graduate training with Chiang...... Mai University, which is the subject of this presentation. Three graduate students have completed their doctoral training with research projects covering botany of ethnic groups in Thailand, taxonomic and ecological studies of Thai Nymphaeaceae, and ecophysiological studies of aquatic plants. Two...

Machine Learning Methods for Analysis of Metabolic Data and Metabolic Pathway Modeling.

Science.gov (United States)

Cuperlovic-Culf, Miroslava

2018-01-11

Machine learning uses experimental data to optimize clustering or classification of samples or features, or to develop, augment or verify models that can be used to predict behavior or properties of systems. It is expected that machine learning will help provide actionable knowledge from a variety of big data including metabolomics data, as well as results of metabolism models. A variety of machine learning methods has been applied in bioinformatics and metabolism analyses including self-organizing maps, support vector machines, the kernel machine, Bayesian networks or fuzzy logic. To a lesser extent, machine learning has also been utilized to take advantage of the increasing availability of genomics and metabolomics data for the optimization of metabolic network models and their analysis. In this context, machine learning has aided the development of metabolic networks, the calculation of parameters for stoichiometric and kinetic models, as well as the analysis of major features in the model for the optimal application of bioreactors. Examples of this very interesting, albeit highly complex, application of machine learning for metabolism modeling will be the primary focus of this review presenting several different types of applications for model optimization, parameter determination or system analysis using models, as well as the utilization of several different types of machine learning technologies.

Machine Learning Methods for Analysis of Metabolic Data and Metabolic Pathway Modeling

Science.gov (United States)

Cuperlovic-Culf, Miroslava

2018-01-01

Machine learning uses experimental data to optimize clustering or classification of samples or features, or to develop, augment or verify models that can be used to predict behavior or properties of systems. It is expected that machine learning will help provide actionable knowledge from a variety of big data including metabolomics data, as well as results of metabolism models. A variety of machine learning methods has been applied in bioinformatics and metabolism analyses including self-organizing maps, support vector machines, the kernel machine, Bayesian networks or fuzzy logic. To a lesser extent, machine learning has also been utilized to take advantage of the increasing availability of genomics and metabolomics data for the optimization of metabolic network models and their analysis. In this context, machine learning has aided the development of metabolic networks, the calculation of parameters for stoichiometric and kinetic models, as well as the analysis of major features in the model for the optimal application of bioreactors. Examples of this very interesting, albeit highly complex, application of machine learning for metabolism modeling will be the primary focus of this review presenting several different types of applications for model optimization, parameter determination or system analysis using models, as well as the utilization of several different types of machine learning technologies. PMID:29324649

Machinability of CAD-CAM materials.

Science.gov (United States)

Chavali, Ramakiran; Nejat, Amir H; Lawson, Nathaniel C

2017-08-01

Although new materials are available for computer-aided design and computer-aided manufacturing (CAD-CAM) fabrication, limited information is available regarding their machinability. The depth of penetration of a milling tool into a material during a timed milling cycle may indicate its machinability. The purpose of this in vitro study was to compare the tool penetration rate for 2 polymer-containing CAD-CAM materials (Lava Ultimate and Enamic) and 2 ceramic-based CAD-CAM materials (e.max CAD and Celtra Duo). The materials were sectioned into 4-mm-thick specimens (n=5/material) and polished with 320-grit SiC paper. Each specimen was loaded into a custom milling apparatus. The apparatus pushed the specimens against a milling tool (E4D Tapered 2016000) rotating at 40 000 RPM with a constant force of 0.98 N. After a 6-minute timed milling cycle, the length of each milling cut was measured with image analysis software under a digital light microscope. Representative specimens and milling tools were examined with scanning electron microscopy (SEM) and energy dispersive x-ray spectroscopy. The penetration rate of Lava Ultimate (3.21 ±0.46 mm/min) and Enamic (2.53 ±0.57 mm/min) was significantly greater than that of e.max CAD (1.12 ±0.32 mm/min) or Celtra Duo (0.80 ±0.21 mm/min) materials. SEM observations showed little tool damage, regardless of material type. Residual material was found on the tools used with polymer-containing materials, and wear of the embedding medium was seen on the tools used with the ceramic-based materials. Edge chipping was noted on cuts made in the ceramic-based materials. Lava Ultimate and Enamic have greater machinability and less edge chipping than e.max CAD and Celtra Duo. Copyright © 2016 Editorial Council for the Journal of Prosthetic Dentistry. Published by Elsevier Inc. All rights reserved.

In-vivo visualisation of the anatomical structures related to the acupuncture points Dai mai and Shen mai by MRI: A single-case pilot study

International Nuclear Information System (INIS)

Moncayo, Roy; Rudisch, Ansgar; Diemling, Markus; Kremser, Christian

2007-01-01

The concept of acupuncture point localisation in Traditional Chinese Medicine (TCM) is based on millenary practical experience. Modern imaging methods such as PET, MRI and SPECT have been used primary for the investigation of the mechanisms of action of acupuncture. In this pilot single-case study we have evaluated the technical possibilities for in-vivo imaging of the anatomical relations of acupuncture points using state of the art MRI. Preliminary experiments relating to the quality of acupuncture needles under the setting of MRI were done both with stainless steel and gold needles. In a second step, in-vivo imaging was carried out. A licensed acupuncture practitioner (RM) chose two points belonging to the so-called extraordinary vessels. In 2 sequential, separate procedures, he inserted himself gold acupuncture needles using a neutral technique (known as Ping Bu Ping Xie) into the Dai mai and Shen mai points, i.e. gall bladder 26 and bladder 62. Imaging was done on a Siemens Magnetom Avanto MR scanner using a head array and body coil. Mainly T1-weighted imaging sequences, as routinely used for patient exams, were used to obtain multi-slice images. In the preliminary experiments only acupuncture needles made of gold showed enough stability in order to be used for further imaging procedures. Using an onion and a banana as an object, further studies showed that the gold needles produced a void defect that corresponds to the tip of the inserted needle, while at the same time an artefactually increased diameter was observed. The in-vivo experiments showed that the Dai mai point was in relation to the abdominal internal oblique muscle. The Shen mai point artefact showed up close to the longus and brevis peroneal tendons at the fibular malleolus. Side effects related to heating or burning were not observed. Improved anatomical recognition was obtained using 3D-volume rendering techniques. Through an adequate choice of acupuncture material (gold needles) as well as of

Machine Learning Detects Pan-cancer Ras Pathway Activation in The Cancer Genome Atlas

Directory of Open Access Journals (Sweden)

Gregory P. Way

2018-04-01

Full Text Available Summary: Precision oncology uses genomic evidence to match patients with treatment but often fails to identify all patients who may respond. The transcriptome of these “hidden responders” may reveal responsive molecular states. We describe and evaluate a machine-learning approach to classify aberrant pathway activity in tumors, which may aid in hidden responder identification. The algorithm integrates RNA-seq, copy number, and mutations from 33 different cancer types across The Cancer Genome Atlas (TCGA PanCanAtlas project to predict aberrant molecular states in tumors. Applied to the Ras pathway, the method detects Ras activation across cancer types and identifies phenocopying variants. The model, trained on human tumors, can predict response to MEK inhibitors in wild-type Ras cell lines. We also present data that suggest that multiple hits in the Ras pathway confer increased Ras activity. The transcriptome is underused in precision oncology and, combined with machine learning, can aid in the identification of hidden responders. : Way et al. develop a machine-learning approach using PanCanAtlas data to detect Ras activation in cancer. Integrating mutation, copy number, and expression data, the authors show that their method detects Ras-activating variants in tumors and sensitivity to MEK inhibitors in cell lines. Keywords: Gene expression, machine learning, Ras, NF1, KRAS, NRAS, HRAS, pan-cancer, TCGA, drug sensitivity

Specified international joint research. Report for fiscal 1997 on the result of `Development of Machining Supporting System`; Kokusai tokutei kyodo kenkyu. `Kikai kako shien system no kaihatsu` 1997 nendo seika hokokusho

Energy Technology Data Exchange (ETDEWEB)

NONE

1998-03-01

On the basis of information obtained from actually performed designing of machines with the aid of computers, researches are conducted for the development of a system that automatically designs required machine tools, machining procedures, machining conditions, and tool paths. The research and development efforts made in fiscal 1997 are enumerated below. In the development of man-machine interfaces, one that integrates a machining procedure designing system, machining condition designing system, and a tool path designing system, all of which are subsystems belonging in a machining supporting system, is developed. In a system evaluation performed through actual machining, an interface between CAD (Computer-Aided Design) technology and a machining supporting system is evaluated, when machining is actually performed for experimentation in an environment in which a machining procedure designing system, machining condition designing system, tool path designing system, and CNC (Computerized Numerical Control) technology collaborate as integrated. As the result, the performance expected to be achieved at the beginning is realized. Two scientists of Russian Academy of Sciences are invited, and researches are conducted concerning knowledge processing technology. 20 refs., 21 figs., 10 tabs.

On the allocation of functions between human and machine

International Nuclear Information System (INIS)

Wirstad, J.

1979-09-01

The idea of allocating functions between human and machine was proceduralized early through aids like Fitts' List which describes the relative advantages of men and machines. Although the principle is clear, function allocation has never worked in practice. Some conditions for function allocations are discussed; adequate logic, a common man-machine system language, usable human engineering guides and data and professional habits and attitudes. Trends which will influence ergonomics procedures are described; influence from technology, increasing work environment requirements and user participation requirements. A procedural structure for human engineering or ergonomics in control system design is suggested. This does not include a separate function allocation activity but a number of activities, the result of which will be a systematic function allocation. A case study on ergonomics techniques for systematic function allocation in a control system is described in an appendix to the report. (author)

A tale of two "forests": random forest machine learning AIDS tropical forest carbon mapping.

Science.gov (United States)

Mascaro, Joseph; Asner, Gregory P; Knapp, David E; Kennedy-Bowdoin, Ty; Martin, Roberta E; Anderson, Christopher; Higgins, Mark; Chadwick, K Dana

2014-01-01

Accurate and spatially-explicit maps of tropical forest carbon stocks are needed to implement carbon offset mechanisms such as REDD+ (Reduced Deforestation and Degradation Plus). The Random Forest machine learning algorithm may aid carbon mapping applications using remotely-sensed data. However, Random Forest has never been compared to traditional and potentially more reliable techniques such as regionally stratified sampling and upscaling, and it has rarely been employed with spatial data. Here, we evaluated the performance of Random Forest in upscaling airborne LiDAR (Light Detection and Ranging)-based carbon estimates compared to the stratification approach over a 16-million hectare focal area of the Western Amazon. We considered two runs of Random Forest, both with and without spatial contextual modeling by including--in the latter case--x, and y position directly in the model. In each case, we set aside 8 million hectares (i.e., half of the focal area) for validation; this rigorous test of Random Forest went above and beyond the internal validation normally compiled by the algorithm (i.e., called "out-of-bag"), which proved insufficient for this spatial application. In this heterogeneous region of Northern Peru, the model with spatial context was the best preforming run of Random Forest, and explained 59% of LiDAR-based carbon estimates within the validation area, compared to 37% for stratification or 43% by Random Forest without spatial context. With the 60% improvement in explained variation, RMSE against validation LiDAR samples improved from 33 to 26 Mg C ha(-1) when using Random Forest with spatial context. Our results suggest that spatial context should be considered when using Random Forest, and that doing so may result in substantially improved carbon stock modeling for purposes of climate change mitigation.

A tale of two "forests": random forest machine learning AIDS tropical forest carbon mapping.

Directory of Open Access Journals (Sweden)

Joseph Mascaro

Full Text Available Accurate and spatially-explicit maps of tropical forest carbon stocks are needed to implement carbon offset mechanisms such as REDD+ (Reduced Deforestation and Degradation Plus. The Random Forest machine learning algorithm may aid carbon mapping applications using remotely-sensed data. However, Random Forest has never been compared to traditional and potentially more reliable techniques such as regionally stratified sampling and upscaling, and it has rarely been employed with spatial data. Here, we evaluated the performance of Random Forest in upscaling airborne LiDAR (Light Detection and Ranging-based carbon estimates compared to the stratification approach over a 16-million hectare focal area of the Western Amazon. We considered two runs of Random Forest, both with and without spatial contextual modeling by including--in the latter case--x, and y position directly in the model. In each case, we set aside 8 million hectares (i.e., half of the focal area for validation; this rigorous test of Random Forest went above and beyond the internal validation normally compiled by the algorithm (i.e., called "out-of-bag", which proved insufficient for this spatial application. In this heterogeneous region of Northern Peru, the model with spatial context was the best preforming run of Random Forest, and explained 59% of LiDAR-based carbon estimates within the validation area, compared to 37% for stratification or 43% by Random Forest without spatial context. With the 60% improvement in explained variation, RMSE against validation LiDAR samples improved from 33 to 26 Mg C ha(-1 when using Random Forest with spatial context. Our results suggest that spatial context should be considered when using Random Forest, and that doing so may result in substantially improved carbon stock modeling for purposes of climate change mitigation.

Learning Activity Packets for Grinding Machines. Unit II--Surface Grinding.

Science.gov (United States)

Oklahoma State Board of Vocational and Technical Education, Stillwater. Curriculum and Instructional Materials Center.

This learning activity packet (LAP) is one of three that accompany the curriculum guide on grinding machines. It outlines the study activities and performance tasks for the second unit of this curriculum guide. Its purpose is to aid the student in attaining a working knowledge of this area of training and in achieving a skilled or moderately…

Learning Activity Packets for Grinding Machines. Unit III--Cylindrical Grinding.

Science.gov (United States)

Oklahoma State Board of Vocational and Technical Education, Stillwater. Curriculum and Instructional Materials Center.

This learning activity packet (LAP) is one of three that accompany the curriculum guide on grinding machines. It outlines the study activities and performance tasks for the third unit of this curriculum guide. Its purpose is to aid the student in attaining a working knowledge of this area of training and in achieving a skilled or moderately…

A Novel Machine Learning Strategy Based on Two-Dimensional Numerical Models in Financial Engineering

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Qingzhen Xu

2013-01-01

Full Text Available Machine learning is the most commonly used technique to address larger and more complex tasks by analyzing the most relevant information already present in databases. In order to better predict the future trend of the index, this paper proposes a two-dimensional numerical model for machine learning to simulate major U.S. stock market index and uses a nonlinear implicit finite-difference method to find numerical solutions of the two-dimensional simulation model. The proposed machine learning method uses partial differential equations to predict the stock market and can be extensively used to accelerate large-scale data processing on the history database. The experimental results show that the proposed algorithm reduces the prediction error and improves forecasting precision.

Fresh market to supermarket: nutrition transition insights from Chiang Mai, Thailand.

Science.gov (United States)

Isaacs, Bronwyn Alison; Dixon, Jane; Banwell, Cathy

2010-06-01

A preliminary investigation into different eating patterns among Thai consumers who shop at fresh markets as opposed to supermarkets in Chiang Mai. A short questionnaire adopted from a previous study was administered to the forty-four participants, who comprised supermarket users, fresh market users and people who consistently shopped at both supermarkets and fresh markets. Participants were recruited within four fresh markets and two food courts attached to supermarkets in Chiang Mai. Chiang Mai residents who agreed to participate in the study. Equal numbers were regular fresh market and supermarket users. Initial results suggest an association between shopping at supermarkets and attributing bread with culinary value. Supermarkets may be potentially significant players in the 'nutrition transition', providing Thais more convenient shopping at some cost to their healthy food choices.

Human-centered automation and AI - Ideas, insights, and issues from the Intelligent Cockpit Aids research effort

Science.gov (United States)

Abbott, Kathy H.; Schutte, Paul C.

1989-01-01

A development status evaluation is presented for the NASA-Langley Intelligent Cockpit Aids research program, which encompasses AI, human/machine interfaces, and conventional automation. Attention is being given to decision-aiding concepts for human-centered automation, with emphasis on inflight subsystem fault management, inflight mission replanning, and communications management. The cockpit envisioned is for advanced commercial transport aircraft.

Vulnerabilidades presentes no percurso vivenciado pelos pacientes com HIV/AIDS em falha terapêutica

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Petra Kelly Rabelo de Sousa

2013-04-01

Full Text Available Um grande avanço no tratamento da AIDS deu-se com o surgimento da terapia antiretroviral. Entretanto, diversas vulnerabilidades podem estar presentes no percurso vivenciado pelos pacientes durante o tratamento. Objetivou-se analisar as vulnerabilidades dos pacientes com HIV/AIDS em falha terapêutica. Estudo qualitativo realizado com sete usuários com AIDS considerados em falha terapêutica, em uma Unidade de Serviço Ambulatorial Especializado em HIV/AIDS, em Fortaleza-CE. Para interpretação dos dados, utilizou-se uma técnica de análise de conteúdo. Nos discursos, percebeu-se que os depoentes enfrentavam conflitos na família e, no ambiente de trabalho, dificuldades de relacionamento com as pessoas e estigma. Observou-se que os pacientes haviam vivenciado diversas situações que os tornaram mais suscetíveis à infecção por HIV e ao adoecimento.

Coital Experience Among Adolescents in Three Social-Educational Groups in Urban Chiang Mai, Thailand

Science.gov (United States)

Tangmunkongvorakul, Arunrat; Carmichael, Gordon; Banwell, Cathy; Seubsman, Sam-ang; Sleigh, Adrian

2012-01-01

This article compares coital experience of Chiang Mai 17–20-year-olds who were: (1) out-of-school; (2) studying at vocational schools; and (3) studying at general schools or university. Four-fifths, two-thirds and one-third, respectively, of males in these groups had had intercourse, compared to 53, 62 and 15 per cent of females. The gender difference for general school/university students, but not vocational school students, probably reflects HIV/AIDS refocusing male sexual initiation away from commercial sex workers. Vocational school females may have been disproportionately affected. Loss of virginity was associated, for both sexes, with social-educational background and lifestyle, and was less likely in certain minority ethnic groups. Among males, it was also associated with age and parental marital dissolution, and among females, with independent living and parental disharmony. Within social-educational groups, lifestyle variables dominated, but among general school/university students, parental marital dissolution (for males) and disharmony (for females) were also important, and Chinese ethnicity deterred male sexual experimentation. PMID:22754584

Monitoring of large rotating machines at EDF

International Nuclear Information System (INIS)

Chevalier, R.; Oswald, G.P.; Morel, J.

1993-09-01

The purpose of equipment surveillance is the prevention of major risks, the early detection of abnormal conditions and post-incident analysis to correct faults observed. At EDF, overall vibration monitoring in the control room was supplemented by a special vibration monitoring system. However, in order to satisfy more elaborate, real time detection requirements and benefit from the new possibilities offered by computer-based systems, EDF has developed the PSAD concept (Surveillance and Diagnosis-aid Station) which groups surveillance processing, organized on surveillance functions including turbogenerator and reactor coolant pump surveillance. The purpose of the present paper is to describe the turbogenerator and reactor coolant pump surveillance functions and present the first examples of reactor coolant pump behaviour feedback using a PSAD mockup (Automated Surveillance of Rotating Machines). In the first place, surveillance implies determining exactly what has to be monitored. This entails considering incidents liable to affect machine behaviour and, of course, specifying both the vibration quantities and those defining the operating condition of the machine considered which are necessary to be able to interpret the vibrations. Data processing requirements concern detection of faults and diagnosis aids. Faults detection must be automatic, but not the diagnosis function. Data can be processed to evidence one or several faults, using the most appropriate data display system. Interpretation is then entrusted to experts. To satisfy the above requirements, the PSAD system integrates two new concepts: distributed surveillance, involving depth distribution (different layers of software organized for increasingly sophisticated and gradually narrowing data processing) and space distribution (the work is performed in the most appropriate place, whether this be the plant, with automatic real time processing, or elsewhere if the complexity of the diagnosis so requires

Spatial Correlation Analysis between Particulate Matter 10 (PM10) Hazard and Respiratory Diseases in Chiang Mai Province, Thailand

Science.gov (United States)

Trang, N. Ha; Tripathi, N. K.

2014-11-01

Every year, during dry season, Chiang Mai and other northern provinces of Thailand face the problem of haze which is mainly generated by the burning of agricultural waste and forest fire, contained high percentage of particulate matter. Particulate matter 10 (PM10), being very small in size, can be inhaled easily to the deepest parts of the human lung and throat respiratory functions. Due to this, it increases the risk of respiratory diseases mainly in the case of continuous exposure to this seasonal smog. MODIS aerosol images (MOD04) have been used for four weeks in March 2007 for generating the hazard map by linking to in-situ values of PM10. Simple linear regression model between PM10 and AOD got fair correlation with R2 = 0.7 and was applied to transform PM10 pattern. The hazard maps showed the dominance of PM10 in northern part of Chiang Mai, especially in second week of March when PM10 level was three to four times higher than standard. The respiratory disease records and public health station of each village were collected from Provincial Public Health Department in Chiang Mai province. There are about 300 public health stations out of 2070 villages; hence thiessen polygon was created to determine the representative area of each public health station. Within each thiessen polygon, respiratory disease incident rate (RDIR) was calculated based on the number of patients and population. Global Moran's I was computed for RDIR to explore spatial pattern of diseases through four weeks of March. Moran's I index depicted a cluster pattern of respiratory diseases in 2nd week than other weeks. That made sense for a relationship between PM10 and respiratory diseases infections. In order to examine how PM10 affect the human respiratory system, geographically weighted regression model was used to observe local correlation coefficient between RDIR and PM10 across study area. The result captured a high correlation between respiratory diseases and high level of PM10 in

Throughput centered prioritization of machines in transfer lines

Energy Technology Data Exchange (ETDEWEB)

Pascual, R., E-mail: rpascual@ing.puc.cl [Physical Asset Management Lab, Centro de Mineria, Pontificia Universidad Catolica de Chile, Av. Vicuna Mackenna 4860, Santiago (Chile); Godoy, D. [Physical Asset Management Lab, Centro de Mineria, Pontificia Universidad Catolica de Chile, Av. Vicuna Mackenna 4860, Santiago (Chile); Louit, D.M. [Komatsu Chile S.A., Av. Americo Vespucio 0631, Quilicura, Santiago (Chile)

2011-10-15

In an environment of scarce resources and complex production systems, prioritizing is key to confront the challenge of managing physical assets. In the literature, there exist a number of techniques to prioritize maintenance decisions that consider safety, technical and business perspectives. However, the effect of risk mitigating elements-such as intermediate buffers in production lines-on prioritization has not yet been investigated in depth. In this line, the work proposes a user-friendly graphical technique called the system efficiency influence diagram (SEID). Asset managers may use SEID to identify machines that have a greater impact on the system throughput, and thus set prioritized maintenance policies and/or redesign of buffers capacities. The tool provides insight to the analyst as it decomposes the influence of a given machine on the system throughput as a product of two elements: (1) system influence efficiency factor and (2) machine unavailability factor. We illustrate its applicability using three case studies: a four-machine transfer line, a vehicle assembly line, and an open-pit mining conveyor system. The results confirm that the machines with greater unavailability factors are not necessarily the most important for the efficiency of the production line, as it is the case when no intermediate buffers exist. As a decision aid tool, SEID emphasizes the need to move from a maintenance vision focused on machine availability, to a systems engineering perspective. - Highlights: > We propose a graphical technique to prioritize machines in production lines. > The tool is called 'system efficiency influence diagram' (SEID). > It helps setting prioritized maintenance policies and/or redesign of buffers. > The SEID technique focuses on system efficiency and throughput. > We illustrate its applicability using three case studies.

Teaching about the U.S. Constitution through Metaphor: Government as a Machine.

Science.gov (United States)

Mills, Randy K.

1988-01-01

Briefly reviews theories of brain hemisphere functions and draws implications for social studies instruction. Maintains that the metaphor aids the development of understanding because it connects right and left brain functions. Provides a learning activity based on the metaphor of the U.S. government functioning as a machine. (BSR)

THE USE OF VISUAL AIDS IN A SOCIO-INTERACTIVE ENVIRONMENT O USO DO VISUAL AIDS EM UM CONTEXTO SÓCIO-AMBIENTE INTERATIVO

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TÂNIA REGINA VIEIRA

2002-01-01

Full Text Available The need for audiovisual materials in the EFL classroom arises from the factthat the association of visual aids with the new language makes meaning moredirect and quick to understand than through verbal explanation, attracts thestudents’ attention and aids concentration. Learning a language through visualaids in collaboration with other peers makes the experience more productiveand profitable. Therefore, this work discusses how the use of visual aids in asocio-interactive environment can improve students’ ability to learn a language.A necessidade do uso de recursos visuais em uma aula de língua estrangeiraderiva do fato de que a associação de imagens à nova língua torna o significadomais direto e fácil de compreender do que por explicações verbais, atrai a atençãodos alunos e ajuda na concentração. Aprender uma língua através de recursosvisuais em colaboração com outros colegas torna a experiência mais produtivae proveitosa. Assim, este trabalho discute como o uso de recursos visuais emum contexto sociointerativo pode melhorar a capacidade dos alunos paraaprender uma língua.

Analysis of machining and machine tools

CERN Document Server

Liang, Steven Y

2016-01-01

This book delivers the fundamental science and mechanics of machining and machine tools by presenting systematic and quantitative knowledge in the form of process mechanics and physics. It gives readers a solid command of machining science and engineering, and familiarizes them with the geometry and functionality requirements of creating parts and components in today’s markets. The authors address traditional machining topics, such as: single and multiple point cutting processes grinding components accuracy and metrology shear stress in cutting cutting temperature and analysis chatter They also address non-traditional machining, such as: electrical discharge machining electrochemical machining laser and electron beam machining A chapter on biomedical machining is also included. This book is appropriate for advanced undergraduate and graduate mechani cal engineering students, manufacturing engineers, and researchers. Each chapter contains examples, exercises and their solutions, and homework problems that re...

Exploration of Machine Learning Approaches to Predict Pavement Performance

Science.gov (United States)

2018-03-23

Machine learning (ML) techniques were used to model and predict pavement condition index (PCI) for various pavement types using a variety of input variables. The primary objective of this research was to develop and assess PCI predictive models for t...

An Associative Index Model for the Results List Based on Vannevar Bush's Selection Concept

Science.gov (United States)

Cole, Charles; Julien, Charles-Antoine; Leide, John E.

2010-01-01

Introduction: We define the results list problem in information search and suggest the "associative index model", an ad-hoc, user-derived indexing solution based on Vannevar Bush's description of an associative indexing approach for his memex machine. We further define what selection means in indexing terms with reference to Charles…

Informatics and machine learning to define the phenotype.

Science.gov (United States)

Basile, Anna Okula; Ritchie, Marylyn DeRiggi

2018-03-01

For the past decade, the focus of complex disease research has been the genotype. From technological advancements to the development of analysis methods, great progress has been made. However, advances in our definition of the phenotype have remained stagnant. Phenotype characterization has recently emerged as an exciting area of informatics and machine learning. The copious amounts of diverse biomedical data that have been collected may be leveraged with data-driven approaches to elucidate trait-related features and patterns. Areas covered: In this review, the authors discuss the phenotype in traditional genetic associations and the challenges this has imposed.Approaches for phenotype refinement that can aid in more accurate characterization of traits are also discussed. Further, the authors highlight promising machine learning approaches for establishing a phenotype and the challenges of electronic health record (EHR)-derived data. Expert commentary: The authors hypothesize that through unsupervised machine learning, data-driven approaches can be used to define phenotypes rather than relying on expert clinician knowledge. Through the use of machine learning and an unbiased set of features extracted from clinical repositories, researchers will have the potential to further understand complex traits and identify patient subgroups. This knowledge may lead to more preventative and precise clinical care.

[Effect of Vimang in HIV/AIDS patients].

Science.gov (United States)

Gil del Valle, Lizette; Serrano López, Teresita; Calderón Fuentes, Odalys; Núñez Sánchez, Felicita; Tápanes Peraza, Rolando D; Pérez Avila, Jorge

2010-01-01

the oxidative stress (OS) has been recognized as a co-factor of HIV infection evolution to AIDS condition. to evaluate the possible antioxidant effect and the impact on the functioning of several systems in the body, resulting in the toxicological safety of Vimang use. sixty eight HIV-seropositive patients were double-blind randomized in two groups; the first was supplied with Vimang during six months and the other with placebo. Redox condition and the biochemical indexes of the hematological, renal and hepatic functions were measured. Also, dietary intake was assessed through surveys administered for 7 days at the beginning and at the end of the study. there were statistically significant differences between the groups regarding positive change in redox figures in Vimang group compared to those of the placebo group. No significant difference was found either in the evaluated dietary intake indexes or in the biochemical indexes of the renal, hematological and hepatic functions at the end of the study. Vimang antioxidant effect was shown, without any toxic influence during the six month-study conducted in HIV/AIDS patients.

Label-free sensor for automatic identification of erythrocytes using digital in-line holographic microscopy and machine learning.

Science.gov (United States)

Go, Taesik; Byeon, Hyeokjun; Lee, Sang Joon

2018-04-30

Cell types of erythrocytes should be identified because they are closely related to their functionality and viability. Conventional methods for classifying erythrocytes are time consuming and labor intensive. Therefore, an automatic and accurate erythrocyte classification system is indispensable in healthcare and biomedical fields. In this study, we proposed a new label-free sensor for automatic identification of erythrocyte cell types using a digital in-line holographic microscopy (DIHM) combined with machine learning algorithms. A total of 12 features, including information on intensity distributions, morphological descriptors, and optical focusing characteristics, is quantitatively obtained from numerically reconstructed holographic images. All individual features for discocytes, echinocytes, and spherocytes are statistically different. To improve the performance of cell type identification, we adopted several machine learning algorithms, such as decision tree model, support vector machine, linear discriminant classification, and k-nearest neighbor classification. With the aid of these machine learning algorithms, the extracted features are effectively utilized to distinguish erythrocytes. Among the four tested algorithms, the decision tree model exhibits the best identification performance for the training sets (n = 440, 98.18%) and test sets (n = 190, 97.37%). This proposed methodology, which smartly combined DIHM and machine learning, would be helpful for sensing abnormal erythrocytes and computer-aided diagnosis of hematological diseases in clinic. Copyright © 2017 Elsevier B.V. All rights reserved.

Peak Detection Method Evaluation for Ion Mobility Spectrometry by Using Machine Learning Approaches

DEFF Research Database (Denmark)

Hauschild, Anne-Christin; Kopczynski, Dominik; D'Addario, Marianna

2013-01-01

machine learning methods exist, an inevitable preprocessing step is reliable and robust peak detection without manual intervention. In this work we evaluate four state-of-the-art approaches for automated IMS-based peak detection: local maxima search, watershed transformation with IPHEx, region......-merging with VisualNow, and peak model estimation (PME).We manually generated Metabolites 2013, 3 278 a gold standard with the aid of a domain expert (manual) and compare the performance of the four peak calling methods with respect to two distinct criteria. We first utilize established machine learning methods...

PROPOSAL FOR AN ERGONOMIC CONFORMITY INDEX FOR EVALUATION OF HARVESTERS AND FORWARDERS

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Felipe Leitão da Cunha Marzano

2017-11-01

Full Text Available ABSTRACT Context: In mechanized forestry work, the ergonomic conditions of the workplace affects operator's health, performance and productivity. Originality: A comparison of different forest machines becomes complex in case where it is required analysis of several ergonomic factors simultaneously. There are several methods of ergonomic analysis however, a more complete methodology that considers several ergonomic factors and produces an index that represent the ergonomic condition of the machine is needed. Objective: Propose a methodology to determining an Ergonomic Conformity Index to evaluate Harvesters and Forwarders of different brands. Methodology: The ECI was determined initially basing in four relevant ergonomic factors: noise, vibration, thermal environment and air quality. These factors were evaluated utilizing four Harvesters and two Forwarders in eucalyptus timber harvesting operations. For each factor, a score was given according to its compliance with the established parameters. The ECI was obtained from an average of the scores given to each factor. The index ranges from zero to one, so that lower values indicate worse ergonomic conditions. Results: All the analyzed machines had continuous noise between 75.0 and 82.6 dB (A and whole-body vibration between 0.27 and 0.70 m s-2. HV1 and HV2 presented thermal environment in accordance with the established criteria, other machines showed deficiencies in this regard. All the machines presented non-conformities in the air quality, except HV2. The ECI of Harvesters HV1, HV2, HV3 and HV4, were 0.83; 0.88; 0.71; 0.63. The ECI of Forwarders FW1 and FW2 were 0.58 and 0.79. Conclusion: The determination of the ECI allowed an evaluation and comparison between analyzed forest machines. The machine with the higher ECI had only one non-conformity, and it was related to noise inside the cab. The machine that got the lower ECI presented non-conformities for all the factors.

Remote handling machines

International Nuclear Information System (INIS)

Sato, Shinri

1985-01-01

In nuclear power facilities, the management of radioactive wastes is made with its technology plus the automatic techniques. Under the radiation field, the maintenance or aid of such systems is important. To cope with this situation, MF-2 system, MF-3 system and a manipulator system as remote handling machines are described. MF-2 system consists of an MF-2 carrier truck, a control unit and a command trailer. It is capable of handling heavy-weight objects. The system is not by hydraulic but by electrical means. MF-3 system consists of a four-crawler truck and a manipulator. The truck is versatile in its posture by means of the four independent crawlers. The manipulator system is bilateral in operation, so that the delicate handling is made possible. (Mori, K.)

AIDS e doenças oportunistas transmissíveis na faixa de fronteira Brasileira AIDS and transmissible opportunistic diseases in the Brazilian border area

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Antonio Luiz Rodrigues-Júnior

2010-10-01

Full Text Available INTRODUÇÃO: A transmissão do HIV e de outras doenças transmissíveis, de pessoa a pessoa, pode ser associada à mobilidade humana. Este trabalho avaliou a incidência de doenças oportunistas transmissíveis entre os casos de AIDS, nos municípios da faixa de fronteira brasileira. MÉTODOS: Os municípios da faixa de fronteira brasileira foram agrupados em três regiões culturais; foram consideradas as notificações feitas ao Ministério da Saúde, entre 1990 e 2003, que tenham sido feitas com os critérios de definição CDC adaptado, Rio de Janeiro/Caracas e óbito; as doenças oportunistas detectadas foram agrupadas de acordo com o tipo de transmissão: 1 inalação do agente; 2 ingestão de água/alimento contaminado e 3 contato interpessoal. A análise descritiva considerou regiões culturais, anos de escolaridade, categoria de transmissão, sexo e faixa etária. RESULTADOS: Houve diferentes padrões de incidência de AIDS nos grupos de doenças oportunistas em cada região cultural. A região extremo-sul apresentou a maior incidência de AIDS; o número de casos de AIDS do sexo feminino foi maior na categoria heterossexual; o número de casos de AIDS do sexo masculino foi maior entre usuários de drogas injetáveis; as doenças transmitidas pelo contato interpessoal foram as mais frequentes, destacando a incidência de monilíases; a tuberculose e a pneumonia foram as mais frequentes dentre as doenças transmitidas pela inalação do agente; as doenças transmitidas pela ingestão de água/alimentos contaminados mostraram um padrão de incidência estável. CONCLUSÕES: A fronteira brasileira é um espaço geográfico importante e heterogêneo; o enfrentamento da AIDS deve reconhecer as diferentes geografias culturais.INTRODUCTION: Person-to-person transmission of HIV and other communicable diseases may be associated with human geographic mobility. This article evaluated the incidence of transmissible opportunistic diseases among

Computer-aided instruction system

International Nuclear Information System (INIS)

Teneze, Jean Claude

1968-01-01

This research thesis addresses the use of teleprocessing and time sharing by the RAX IBM system and the possibility to introduce a dialog with the machine to develop an application in which the computer plays the role of a teacher for different pupils at the same time. Two operating modes are thus exploited: a teacher-mode and a pupil-mode. The developed CAI (computer-aided instruction) system comprises a checker to check the course syntax in teacher-mode, a translator to trans-code the course written in teacher-mode into a form which can be processes by the execution programme, and the execution programme which presents the course in pupil-mode

Data mining-aided materials discovery and optimization

Directory of Open Access Journals (Sweden)

Wencong Lu

2017-09-01

Full Text Available Recent developments in data mining-aided materials discovery and optimization are reviewed in this paper, and an introduction to the materials data mining (MDM process is provided using case studies. Both qualitative and quantitative methods in machine learning can be adopted in the MDM process to accomplish different tasks in materials discovery, design, and optimization. State-of-the-art techniques in data mining-aided materials discovery and optimization are demonstrated by reviewing the controllable synthesis of dendritic Co3O4 superstructures, materials design of layered double hydroxide, battery materials discovery, and thermoelectric materials design. The results of the case studies indicate that MDM is a powerful approach for use in materials discovery and innovation, and will play an important role in the development of the Materials Genome Initiative and Materials Informatics.

Throughput centered prioritization of machines in transfer lines

International Nuclear Information System (INIS)

Pascual, R.; Godoy, D.; Louit, D.M.

2011-01-01

In an environment of scarce resources and complex production systems, prioritizing is key to confront the challenge of managing physical assets. In the literature, there exist a number of techniques to prioritize maintenance decisions that consider safety, technical and business perspectives. However, the effect of risk mitigating elements-such as intermediate buffers in production lines-on prioritization has not yet been investigated in depth. In this line, the work proposes a user-friendly graphical technique called the system efficiency influence diagram (SEID). Asset managers may use SEID to identify machines that have a greater impact on the system throughput, and thus set prioritized maintenance policies and/or redesign of buffers capacities. The tool provides insight to the analyst as it decomposes the influence of a given machine on the system throughput as a product of two elements: (1) system influence efficiency factor and (2) machine unavailability factor. We illustrate its applicability using three case studies: a four-machine transfer line, a vehicle assembly line, and an open-pit mining conveyor system. The results confirm that the machines with greater unavailability factors are not necessarily the most important for the efficiency of the production line, as it is the case when no intermediate buffers exist. As a decision aid tool, SEID emphasizes the need to move from a maintenance vision focused on machine availability, to a systems engineering perspective. - Highlights: → We propose a graphical technique to prioritize machines in production lines. → The tool is called 'system efficiency influence diagram' (SEID). → It helps setting prioritized maintenance policies and/or redesign of buffers. → The SEID technique focuses on system efficiency and throughput. → We illustrate its applicability using three case studies.

Computer-Aided Diagnosis Systems for Brain Diseases in Magnetic Resonance Images

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Yasuo Yamashita

2009-07-01

Full Text Available This paper reviews the basics and recent researches of computer-aided diagnosis (CAD systems for assisting neuroradiologists in detection of brain diseases, e.g., asymptomatic unruptured aneurysms, Alzheimer's disease, vascular dementia, and multiple sclerosis (MS, in magnetic resonance (MR images. The CAD systems consist of image feature extraction based on image processing techniques and machine learning classifiers such as linear discriminant analysis, artificial neural networks, and support vector machines. We introduce useful examples of the CAD systems in the neuroradiology, and conclude with possibilities in the future of the CAD systems for brain diseases in MR images.

Perfil epidemiológico de pacientes adultos com tuberculose e AIDS no estado do Espírito Santo, Brasil: relacionamento dos bancos de dados de tuberculose e AIDS Epidemiological profile of adult patients with tuberculosis and AIDS in the state of Espírito Santo, Brazil: cross-referencing tuberculosis and AIDS databases

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Thiago Nascimento do Prado

2011-02-01

Full Text Available OBJETIVO: Avaliar o perfil epidemiológico de pacientes com tuberculose (TB e daqueles com TB e HIV no estado do Espírito Santo entre 2000 e 2006. MÉTODOS: Coletamos dados demográficos e clínicos dos pacientes de interesse do Centro de Vigilância Epidemiológica do Estado do Espírito Santo (banco de dados para TB, do Sistema de Informação de Agravos de Notificação, do Sistema de Informação sobre Mortalidade, do Sistema de Controle de Exames Laboratoriais da Rede Nacional de Contagem de Linfócitos CD4+/CD8+ e Carga Viral e do Sistema de Controle Logístico de Medicamentos (bancos de dados para HIV/AIDS. Todos os dados compilados foram cruzados. RESULTADOS: Durante o período do estudo, 9.543 pacientes com TB > 15 anos de idade foram identificados, dos quais 437 (4,6% tinham HIV. A mediana de idade não diferiu entre os pacientes com TB/AIDS e somente com TB (35 anos vs. 38 anos. Dos 437 pacientes com TB/AIDS, 298 (68,2% eram homens, e 156 (35,8% estavam na faixa etária de 30-39 anos. Quanto ao desfecho do tratamento da TB, 79,0% foram curados, 9,7% foram transferidos para outros locais, 6,0% foram a óbito, 5,2% abandonaram o tratamento, e 0,2% desenvolveram TB multirresistente. O óbito foi 4,75 vezes mais comum nos pacientes com TB/AIDS do que naqueles somente com TB. A TB pulmonar representou 82,4% dos casos. A combinação de TB pulmonar e extrapulmonar foi 8,2 vezes mais frequente nos pacientes com TB/AIDS do que naqueles somente com TB (IC95%: 6,2-10,8. CONCLUSÕES: Nossos resultados enfatizam a significância da AIDS em pacientes com TB no Brasil, assim como a importância de se avaliar dados secundários a fim de melhorar a sua qualidade e desenvolver intervenções de saúde públicaOBJECTIVE: To evaluate the epidemiological profile of patients with tuberculosis (TB only and that of patients with TB/AIDS in the state of Espírito Santo, Brazil, between 2000 and 2006. METHODS: For the patients of interest, we collected

MAI-free performance of PMU-OFDM transceiver in time-variant environment

Science.gov (United States)

Tadjpour, Layla; Tsai, Shang-Ho; Kuo, C.-C. J.

2005-06-01

An approximately multi-user OFDM transceiver was introduced to reduce the multi-access interference (MAI ) due to the carrier frequency offset (CFO) to a negligible amount via precoding by Tsai, Lin and Kuo. In this work, we investigate the performance of this precoded multi-user (PMU) OFDM system in a time-variant channel environment. We analyze and compare the MAI effect caused by time-variant channels in the PMU-OFDM and the OFDMA systems. Generally speaking, the MAI effect consists of two parts. The first part is due to the loss of orthogonality among subchannels for all users while the second part is due to the CFO effect caused by the Doppler shift. Simulation results show that, although OFDMA outperforms the PMU-OFDM transceiver in a fast time-variant environment without CFO, PMU-OFDM outperforms OFDMA in a slow time-variant channel via the use of M/2 symmetric or anti-symmetric codewords of M Hadamard-Walsh codes.

On the convergence of nanotechnology and Big Data analysis for computer-aided diagnosis.

Science.gov (United States)

Rodrigues, Jose F; Paulovich, Fernando V; de Oliveira, Maria Cf; de Oliveira, Osvaldo N

2016-04-01

An overview is provided of the challenges involved in building computer-aided diagnosis systems capable of precise medical diagnostics based on integration and interpretation of data from different sources and formats. The availability of massive amounts of data and computational methods associated with the Big Data paradigm has brought hope that such systems may soon be available in routine clinical practices, which is not the case today. We focus on visual and machine learning analysis of medical data acquired with varied nanotech-based techniques and on methods for Big Data infrastructure. Because diagnosis is essentially a classification task, we address the machine learning techniques with supervised and unsupervised classification, making a critical assessment of the progress already made in the medical field and the prospects for the near future. We also advocate that successful computer-aided diagnosis requires a merge of methods and concepts from nanotechnology and Big Data analysis.

SU-E-T-173: Clinical Comparison of Treatment Plans and Fallback Plans for Machine Downtime

Energy Technology Data Exchange (ETDEWEB)

Cruz, W [University of Texas Health Science Center at San Antonio, San Antonio, TX (United States); Cancer Therapy and Research Center, San Antonio, TX (United States); Papanikolaou, P [University of Texas Health Science Center at San Antonio, San Antonio, TX (United States); Mavroidis, P [University of North Carolina, Chapel Hill, NC (United States); Stathakis, S [Cancer Therapy and Research Center, San Antonio, TX (United States)

2015-06-15

Purpose: The purpose of this study was to determine the clinical effectiveness and dosimetric quality of fallback planning in relation to machine downtime. Methods: Plans for a Varian Novalis TX were mimicked, and fallback plans using an Elekta VersaHD machine were generated using a dual arc template. Plans for thirty (n=30) patients of various treatment sites optimized and calculated using RayStation treatment planning system. For each plan, a fall back plan was created and compared to the original plan. A dosimetric evaluation was conducted using the homogeneity index, conformity index, as well as DVH analysis to determine the quality of the fallback plan on a different treatment machine. Fallback plans were optimized for 60 iterations using the imported dose constraints from the original plan DVH to give fallback plans enough opportunity to achieve the dose objectives. Results: The average conformity index and homogeneity index for the NovalisTX plans were 0.76 and 10.3, respectively, while fallback plan values were 0.73 and 11.4. (Homogeneity =1 and conformity=0 for ideal plan) The values to various organs at risk were lower in the fallback plans as compared to the imported plans across most organs at risk. Isodose difference comparisons between plans were also compared and the average dose difference across all plans was 0.12%. Conclusion: The clinical impact of fallback planning is an important aspect to effective treatment of patients. With the complexity of LINACS increasing every year, an option to continue treating during machine downtime remains an essential tool in streamlined treatment execution. Fallback planning allows the clinic to continue to run efficiently should a treatment machine become offline due to maintenance or repair without degrading the quality of the plan all while reducing strain on members of the radiation oncology team.

DROUGHT FORECASTING BASED ON MACHINE LEARNING OF REMOTE SENSING AND LONG-RANGE FORECAST DATA

Directory of Open Access Journals (Sweden)

J. Rhee

2016-06-01

Full Text Available The reduction of drought impacts may be achieved through sustainable drought management and proactive measures against drought disaster. Accurate and timely provision of drought information is essential. In this study, drought forecasting models to provide high-resolution drought information based on drought indicators for ungauged areas were developed. The developed models predict drought indices of the 6-month Standardized Precipitation Index (SPI6 and the 6-month Standardized Precipitation Evapotranspiration Index (SPEI6. An interpolation method based on multiquadric spline interpolation method as well as three machine learning models were tested. Three machine learning models of Decision Tree, Random Forest, and Extremely Randomized Trees were tested to enhance the provision of drought initial conditions based on remote sensing data, since initial conditions is one of the most important factors for drought forecasting. Machine learning-based methods performed better than interpolation methods for both classification and regression, and the methods using climatology data outperformed the methods using long-range forecast. The model based on climatological data and the machine learning method outperformed overall.

Effects of Tang Mai Kang Capsule on Angioneurotic Lesions in Alloxan-Induced Diabetic Mice

Institute of Scientific and Technical Information of China (English)

李华; 王军; 高丽君; 郭永成

2004-01-01

The effects of Tang Mai Kang Capsule (糖脉康胶囊) on blood sugar level, gangrene of the tail-tip, pain threshold and learning and memory abilities were investigated in alloxan-induced diabetic mice. The results showed that Tang Mai Kang Capsule could significantly decrease blood sugar level and incidence rate of gangrene of the tail-tip, increase pain threshold, and strengthen learning and memory abilities, suggesting that Tang Mai Kang Capsule functions to decrease blood sugar level and improve the complicated angioneurotic lesions of diabetes.

Leaf Beetles (Coleoptera ; Chrysomelidae) in the Campus and Agricultural Research Stations of Chiang Mai University, Thailand

OpenAIRE

Umemura, S; Tayutivutukul, J; Nakamura, H

2005-01-01

Qualitative surveys of leaf beetles were conducted at 5 survey sites (Chiang Mai University, Mae Hia Staion, Chang Kien Station, Nong Hoi Station, Suburb of Chiang Mai City) in Chiang Mai, Thailand using sweeping and beating methods from October 19th to October 30th, 2003. A total of 24 species of 8 subfamilies was collected from five survey sites ; 11 species, 3 species, 2 species, 11 species, 4 species from Chiang Mai University, Mae Hia Station, Chang Kien Station, Nong Hoi Station, Suburb...

Accessible engineering drawings for visually impaired machine operators.

Science.gov (United States)

Ramteke, Deepak; Kansal, Gayatri; Madhab, Benu

2014-01-01

An engineering drawing provides manufacturing information to a machine operator. An operator plans and executes machining operations based on this information. A visually impaired (VI) operator does not have direct access to the drawings. Drawing information is provided to them verbally or by using sample parts. Both methods have limitations that affect the quality of output. Use of engineering drawings is a standard practice for every industry; this hampers employment of a VI operator. Accessible engineering drawings are required to increase both independence, as well as, employability of VI operators. Today, Computer Aided Design (CAD) software is used for making engineering drawings, which are saved in CAD files. Required information is extracted from the CAD files and converted into Braille or voice. The authors of this article propose a method to make engineering drawings information directly accessible to a VI operator.

S¯adhan¯a Vol. 28, 2003 Subject Index

Indian Academy of Sciences (India)

R. Narasimhan (Krishtel eMaging) 1461 1996 Oct 15 13:05:22

Porous carbon. 335. Active-R ... Aluminium oxide. Controlled wear of vitrified abrasive materials .... Machining and metrology systems for free- form laser printer ... Subject Index. Flow and fracture ... Grain/interphase boundary sliding. Thermally ...

Man-machine supervision

International Nuclear Information System (INIS)

Montmain, J.

2005-01-01

Today's complexity of systems where man is involved has led to the development of more and more sophisticated information processing systems where decision making has become more and more difficult. The operator task has moved from operation to supervision and the production tool has become indissociable from its numerical instrumentation and control system. The integration of more and more numerous and sophisticated control indicators in the control room does not necessary fulfill the expectations of the operation team. It is preferable to develop cooperative information systems which are real situation understanding aids. The stake is not the automation of operators' cognitive tasks but the supply of a reasoning help. One of the challenges of interactive information systems is the selection, organisation and dynamical display of information. The efficiency of the whole man-machine system depends on the communication interface efficiency. This article presents the principles and specificities of man-machine supervision systems: 1 - principle: operator's role in control room, operator and automation, monitoring and diagnosis, characteristics of useful models for supervision; 2 - qualitative reasoning: origin, trends, evolutions; 3 - causal reasoning: causality, causal graph representation, causal and diagnostic graph; 4 - multi-points of view reasoning: multi flow modeling method, Sagace method; 5 - approximate reasoning: the symbolic numerical interface, the multi-criteria decision; 6 - example of application: supervision in a spent-fuel reprocessing facility. (J.S.)

A method and machine for forming pleated and bellow tubes

International Nuclear Information System (INIS)

Banks, J.W.

1975-01-01

In a machine, the rollers outside the rough tube are rigidly supported for assuring the accurate forming of each turn of the pleated tube, the latter being position-indexed independently of the already formed turns. An inner roller is supported by a device for adjusting and indexing the position thereof on a carriage. The thus obtained tubes are suitable, in particular, for forming expansion sealing joints for power generators or nuclear reactors [fr

Unintended consequences of machine learning in medicine?

Science.gov (United States)

McDonald, Laura; Ramagopalan, Sreeram V; Cox, Andrew P; Oguz, Mustafa

2017-01-01

Machine learning (ML) has the potential to significantly aid medical practice. However, a recent article highlighted some negative consequences that may arise from using ML decision support in medicine. We argue here that whilst the concerns raised by the authors may be appropriate, they are not specific to ML, and thus the article may lead to an adverse perception about this technique in particular. Whilst ML is not without its limitations like any methodology, a balanced view is needed in order to not hamper its use in potentially enabling better patient care.

Aided diagnosis methods of breast cancer based on machine learning

Science.gov (United States)

Zhao, Yue; Wang, Nian; Cui, Xiaoyu

2017-08-01

In the field of medicine, quickly and accurately determining whether the patient is malignant or benign is the key to treatment. In this paper, K-Nearest Neighbor, Linear Discriminant Analysis, Logistic Regression were applied to predict the classification of thyroid,Her-2,PR,ER,Ki67,metastasis and lymph nodes in breast cancer, in order to recognize the benign and malignant breast tumors and achieve the purpose of aided diagnosis of breast cancer. The results showed that the highest classification accuracy of LDA was 88.56%, while the classification effect of KNN and Logistic Regression were better than that of LDA, the best accuracy reached 96.30%.

Machine rates for selected forest harvesting machines

Science.gov (United States)

R.W. Brinker; J. Kinard; Robert Rummer; B. Lanford

2002-01-01

Very little new literature has been published on the subject of machine rates and machine cost analysis since 1989 when the Alabama Agricultural Experiment Station Circular 296, Machine Rates for Selected Forest Harvesting Machines, was originally published. Many machines discussed in the original publication have undergone substantial changes in various aspects, not...

New Cogging Torque Reduction Methods for Permanent Magnet Machine

Science.gov (United States)

Bahrim, F. S.; Sulaiman, E.; Kumar, R.; Jusoh, L. I.

2017-08-01

Permanent magnet type motors (PMs) especially permanent magnet synchronous motor (PMSM) are expanding its limbs in industrial application system and widely used in various applications. The key features of this machine include high power and torque density, extending speed range, high efficiency, better dynamic performance and good flux-weakening capability. Nevertheless, high in cogging torque, which may cause noise and vibration, is one of the threat of the machine performance. Therefore, with the aid of 3-D finite element analysis (FEA) and simulation using JMAG Designer, this paper proposed new method for cogging torque reduction. Based on the simulation, methods of combining the skewing with radial pole pairing method and skewing with axial pole pairing method reduces the cogging torque effect up to 71.86% and 65.69% simultaneously.

Time-series prediction and applications a machine intelligence approach

CERN Document Server

Konar, Amit

2017-01-01

This book presents machine learning and type-2 fuzzy sets for the prediction of time-series with a particular focus on business forecasting applications. It also proposes new uncertainty management techniques in an economic time-series using type-2 fuzzy sets for prediction of the time-series at a given time point from its preceding value in fluctuating business environments. It employs machine learning to determine repetitively occurring similar structural patterns in the time-series and uses stochastic automaton to predict the most probabilistic structure at a given partition of the time-series. Such predictions help in determining probabilistic moves in a stock index time-series Primarily written for graduate students and researchers in computer science, the book is equally useful for researchers/professionals in business intelligence and stock index prediction. A background of undergraduate level mathematics is presumed, although not mandatory, for most of the sections. Exercises with tips are provided at...

A projection graphic display for the computer aided analysis of bubble chamber images

International Nuclear Information System (INIS)

Solomos, E.

1979-01-01

A projection graphic display for aiding the analysis of bubble chamber photographs has been developed by the Instrumentation Group of EF Division at CERN. The display image is generated on a very high brightness cathode ray tube and projected on to the table of the scanning-measuring machines as a superposition to the image of the bubble chamber. The display can send messages to the operator and aid the measurement by indicating directly on the chamber image the tracks which are measured correctly or not. (orig.)

Food sold in school vending machines is associated with overall student dietary intake.

Science.gov (United States)

Rovner, Alisha J; Nansel, Tonja R; Wang, Jing; Iannotti, Ronald J

2011-01-01

To examine the association between food sold in school vending machines and the dietary behaviors of students. The 2005-2006 U.S. Health Behavior in School-aged Children survey was administered to 6th to 10th graders and school administrators. Dietary intake in students was estimated with a brief food frequency measure. School administrators completed questions regarding food sold in vending machines. For each food intake behavior, a multilevel regression analysis modeled students (level 1) nested within schools (level 2), with the corresponding food sold in vending machines as the main predictor. Control variables included gender, grade, family affluence, and school poverty index. Analyses were conducted separately for 6th to 8th and 9th-10th grades. In all, 83% of the schools (152 schools; 5,930 students) had vending machines that primarily sold food of minimal nutritional values (soft drinks, chips, and sweets). In younger grades, availability of fruit and/or vegetables and chocolate and/or sweets was positively related to the corresponding food intake, with vending machine content and school poverty index providing an explanation for 70.6% of between-school variation in fruit and/or vegetable consumption and 71.7% in sweets consumption. Among the older grades, there was no significant effect of food available in vending machines on reported consumption of those food. Vending machines are widely available in public schools in the United States. In younger grades, school vending machines were either positively or negatively related to the diets of the students, depending on what was sold in them. Schools are in a powerful position to influence the diets of children; therefore, attention to the food sold at school is necessary to try to improve their diets. Copyright © 2011 Society for Adolescent Health and Medicine. All rights reserved.

Predicting the Performance of Chain Saw Machines Based on Shore Scleroscope Hardness

Science.gov (United States)

Tumac, Deniz

2014-03-01

Shore hardness has been used to estimate several physical and mechanical properties of rocks over the last few decades. However, the number of researches correlating Shore hardness with rock cutting performance is quite limited. Also, rather limited researches have been carried out on predicting the performance of chain saw machines. This study differs from the previous investigations in the way that Shore hardness values (SH1, SH2, and deformation coefficient) are used to determine the field performance of chain saw machines. The measured Shore hardness values are correlated with the physical and mechanical properties of natural stone samples, cutting parameters (normal force, cutting force, and specific energy) obtained from linear cutting tests in unrelieved cutting mode, and areal net cutting rate of chain saw machines. Two empirical models developed previously are improved for the prediction of the areal net cutting rate of chain saw machines. The first model is based on a revised chain saw penetration index, which uses SH1, machine weight, and useful arm cutting depth as predictors. The second model is based on the power consumed for only cutting the stone, arm thickness, and specific energy as a function of the deformation coefficient. While cutting force has a strong relationship with Shore hardness values, the normal force has a weak or moderate correlation. Uniaxial compressive strength, Cerchar abrasivity index, and density can also be predicted by Shore hardness values.

Carbon Monoxide Emission and Concentration Models for Chiang Mai Urban Area

Institute of Scientific and Technical Information of China (English)

无

2006-01-01

An emission inventory containing emissions from traffic and other sources was complied. Based on the analysis, Carbon Monoxide (CO) emissions from traffic play a very important role in CO levels in Chiang Mai area. Analysis showed that CO emissions from traffic during rush hours contributed approximately 90% of total CO emissions. Regional Atmospheric Modeling System (RAMS) was applied to simulate wind fields and temperatures in the Chiang Mai area, and eight cases were selected to study annual variations in wind fields and temperatures. Model results can reflect major features of wind fields and diurnal variations in temperatures. For evaluating the model performance, model results were compared with observed wind speed, wind direction and temperature, which were monitored at a meteorological tower. Comparison showed that model results are in good agreement with observations, and the model captured many of the observed features. HYbrid Particle And Concentration Transport model (HYPACT) was used to simulate CO concentration in the Chiang Mai area. Model results generally agree well with observed CO concentrations at the air quality monitoring stations, and can explain observed CO diurnal variations.

M-machine SDST flow shop scheduling using modified heuristic ...

African Journals Online (AJOL)

A computational analysis has been made to evaluate the performance of the proposed MHGA for upto 200 jobs and 20 machines problems. Comparative analysis with the help of defined performance index known as relative percentage deviation (RPD) verifies that it is viable and effective approach when compared with ...

What is the machine learning.

CERN Multimedia

CERN. Geneva

2018-01-01

Applications of machine learning tools to problems of physical interest are often criticized for producing sensitivity at the expense of transparency. In this talk, I explore a procedure for identifying combinations of variables -- aided by physical intuition -- that can discriminate signal from background. Weights are introduced to smooth away the features in a given variable(s). New networks are then trained on this modified data. Observed decreases in sensitivity diagnose the variable's discriminating power. Planing also allows the investigation of the linear versus non-linear nature of the boundaries between signal and background. I will demonstrate these features in both an easy to understand toy model and an idealized LHC resonance scenario.

Oral manifestations among people living with HIV/AIDS in Tanzania

DEFF Research Database (Denmark)

Fabian, F M; Kahabuka, F K; Petersen, P E

2009-01-01

BACKGROUND: This study aimed to determine the prevalence of various oral and peri-oral manifestations in people living with HIV/AIDS in Tanzania. METHODS: A cross sectional study. A total of 187 persons with HIV infection were recruited from non-governmental organisations serving people living...... associated with low body mass index (BMI). CONCLUSION: This community survey carried out in an African sub-Saharan country showed that oral lesions are frequent among people living with HIV/AIDS. As emphasised by the World Health Organization Global Oral Health Programme, national HIV/AIDS programmes should...

Support vector machine for automatic pain recognition

Science.gov (United States)

Monwar, Md Maruf; Rezaei, Siamak

2009-02-01

Facial expressions are a key index of emotion and the interpretation of such expressions of emotion is critical to everyday social functioning. In this paper, we present an efficient video analysis technique for recognition of a specific expression, pain, from human faces. We employ an automatic face detector which detects face from the stored video frame using skin color modeling technique. For pain recognition, location and shape features of the detected faces are computed. These features are then used as inputs to a support vector machine (SVM) for classification. We compare the results with neural network based and eigenimage based automatic pain recognition systems. The experiment results indicate that using support vector machine as classifier can certainly improve the performance of automatic pain recognition system.

Stochastic subset selection for learning with kernel machines.

Science.gov (United States)

Rhinelander, Jason; Liu, Xiaoping P

2012-06-01

Kernel machines have gained much popularity in applications of machine learning. Support vector machines (SVMs) are a subset of kernel machines and generalize well for classification, regression, and anomaly detection tasks. The training procedure for traditional SVMs involves solving a quadratic programming (QP) problem. The QP problem scales super linearly in computational effort with the number of training samples and is often used for the offline batch processing of data. Kernel machines operate by retaining a subset of observed data during training. The data vectors contained within this subset are referred to as support vectors (SVs). The work presented in this paper introduces a subset selection method for the use of kernel machines in online, changing environments. Our algorithm works by using a stochastic indexing technique when selecting a subset of SVs when computing the kernel expansion. The work described here is novel because it separates the selection of kernel basis functions from the training algorithm used. The subset selection algorithm presented here can be used in conjunction with any online training technique. It is important for online kernel machines to be computationally efficient due to the real-time requirements of online environments. Our algorithm is an important contribution because it scales linearly with the number of training samples and is compatible with current training techniques. Our algorithm outperforms standard techniques in terms of computational efficiency and provides increased recognition accuracy in our experiments. We provide results from experiments using both simulated and real-world data sets to verify our algorithm.

Impact of HIV and AIDS on household food and nutrition security in ...

African Journals Online (AJOL)

The impact of HIV/AIDS on household food and nutrition security in Suba district was studied in a quasi longitudinal study. Households with People Living with HIV/AIDS (Index- 25%) and three surrounding households (control- 75%) were considered for the study. Data were collected on demographic characteristics of the ...

Comunicação como Ciência Social (e mais

Directory of Open Access Journals (Sweden)

Craig Calhoun

Full Text Available A Comunicação é o campo mais importante para o estudo de muitas dimensões-chave de mudanças sociais. Esta é a premissa básica deste texto apresentado na conferência de abertura do congresso anual da International Communication Association, em 2011. Ele traz reflexões sobre uma série de questões de identidade, metodologias, fronteiras e caminhos para os estudos e práticas no campo. Fazendo um paralelo com outras disciplinas que passaram pelo mesmo processo, a conclusão é que o campo da Comunicação precisa mais preservar a riqueza de sua interdisciplinaridade do que buscar respostas em uma aparente e, às vezes, falsa autonomia científica.

[A new machinability test machine and the machinability of composite resins for core built-up].

Science.gov (United States)

Iwasaki, N

2001-06-01

A new machinability test machine especially for dental materials was contrived. The purpose of this study was to evaluate the effects of grinding conditions on machinability of core built-up resins using this machine, and to confirm the relationship between machinability and other properties of composite resins. The experimental machinability test machine consisted of a dental air-turbine handpiece, a control weight unit, a driving unit of the stage fixing the test specimen, and so on. The machinability was evaluated as the change in volume after grinding using a diamond point. Five kinds of core built-up resins and human teeth were used in this study. The machinabilities of these composite resins increased with an increasing load during grinding, and decreased with repeated grinding. There was no obvious correlation between the machinability and Vickers' hardness; however, a negative correlation was observed between machinability and scratch width.

Comparison of Models Needed for Conceptual Design of Man-Machine Systems in Different Application Domains

DEFF Research Database (Denmark)

Rasmussen, Jens

1986-01-01

and subjective preferences. For design of man-machine systems in process control, a framework has been developed in terms of separate representation of the problem domain, the decision task, and the information processing strategies required. The author analyzes the application of this framework to a number......For systematic and computer-aided design of man-machine systems, a consistent framework is needed, i. e. , a set of models which allows the selection of system characteristics which serve the individual user not only to satisfy his goal, but also to select mental processes that match his resources...

Associations between damage location and five main body region injuries of MAIS 3-6 injured occupants.

Science.gov (United States)

Tang, Youming; Cao, Libo; Kan, Steven

2014-05-08

To examine the damage location distribution of five main body region injuries of maximum abbreviated injury score (MAIS) 3-6 injured occupants for nearside struck vehicle in front-to-side impact crashes. MAIS 3-6 injured occupants information was extracted from the US-National Automotive Sampling System/Crashworthiness Data System in the year 2007; it included the head/face/neck, chest, pelvis, upper extremity and lower extremity. Struck vehicle collision damage was classified in a three-dimensional system according to the J224 Collision Deformation Classification of SAE Surface Vehicle Standard. Nearside occupants seated directly adjacent to the struck side of the vehicle with MAIS 3-6 injured, in light truck vehicles-passenger cars (LTV-PC) side impact crashes. Distribution of MAIS 3-6 injured occupants by body regions and specific location of damage (lateral direction, horizontal direction and vertical direction) were examined. Injury risk ratio was also assessed. The lateral crush zone contributed to MAIS 3-6 injured occupants (n=705) and 50th centile injury risks when extended into zone 3. When the crush extended to zone 4, the injury risk ratio of MAIS 3-6 injured occupants approached 81%. The horizontal crush zones contributing to the highest injury risk ratio of MAIS 3-6 occupants were zones 'D' and 'Y', and the injury risk ratios were 25.4% and 36.9%, respectively. In contrast, the lowest injury risk ratio was 5.67% caused by zone 'B'. The vertical crush zone which contributed to the highest injury risk ratio of MAIS 3-6 occupants was zone 'E', whose injury risk ratio was 58%. In contrast, the lowest injury risk ratio was 0.14% caused by zone 'G+M'. The highest injury risk ratio of MAIS 3-6 injured occupants caused by crush intrusion between 40 and 60 cm in LTV-PC nearside impact collisions and the damage region of the struck vehicle was in the zones 'E' and 'Y'.

Nuclear medicine applications in AIDS

International Nuclear Information System (INIS)

Abdel-Dayem, H.M.

2004-01-01

Full text: Aids patients are liable to more than one medical problem at anyone time as the number of CD4 cells decrease and the viral load increases. Problems are related to multiple causes of opportunistic Infections, malignant lymphoma and Kaposi sarcoma. Laboratory tests, sputum analysis and bronchial lavage have problems of decreased sensitivity. morphologic Imaging modalities such as chest X-ray, CT or MRI has problems of specificity. Nuclear medicine techniques has the advantage of total body functional imaging that can visualize more than one organ. The use nuclear medicine imaging is recommended when the diagnosis is uncertain and for initiation of proper treatment. Gallium-67 citrate total body scans acquired at 4 hours following the IV injection and at 24-48 hours has been very useful for the early diagnosis of opportunistic infections such as PCP, TB, Disseminated Mycobacterium avii complex; MAI, malignant lymphoma and various forms of AIDS related colitis. Sequential thallium and gallium scan help to differentiate Kaposi sarcoma (thallium positive, gallium negative) from opportunistic infections (gallium positive, thallium negative) and malignant lymphoma (thallium and gallium positive). Gallium is the most convenient radiopharmaceutical for the diagnosis of malignant lymphoma of the heart. Thallium and Tc-99m Sestamibi are useful for the differentiation of intracranial toxoplasmosis from malignant lymphoma. The presentation will illustrate different examples and will explain the limitations of all these tests. (author)

Improving the reliability of stator insulation system in rotating machines

International Nuclear Information System (INIS)

Gupta, G.K.; Sedding, H.G.; Culbert, I.M.

1997-01-01

Reliable performance of rotating machines, especially generators and primary heat transport pump motors, is critical to the efficient operation on nuclear stations. A significant number of premature machine failures have been attributed to the stator insulation problems. Ontario Hydro has attempted to assure the long term reliability of the insulation system in critical rotating machines through proper specifications and quality assurance tests for new machines and periodic on-line and off-line diagnostic tests on machines in service. The experience gained over the last twenty years is presented in this paper. Functional specifications have been developed for the insulation system in critical rotating machines based on engineering considerations and our past experience. These specifications include insulation stress, insulation resistance and polarization index, partial discharge levels, dissipation factor and tip up, AC and DC hipot tests. Voltage endurance tests are specified for groundwall insulation system of full size production coils and bars. For machines with multi-turn coils, turn insulation strength for fast fronted surges in specified and verified through tests on all coils in the factory and on samples of finished coils in the laboratory. Periodic on-line and off-line diagnostic tests were performed to assess the condition of the stator insulation system in machines in service. Partial discharges are measured on-line using several techniques to detect any excessive degradation of the insulation system in critical machines. Novel sensors have been developed and installed in several machines to facilitate measurements of partial discharges on operating machines. Several off-line tests are performed either to confirm the problems indicated by the on-line test or to assess the insulation system in machines which cannot be easily tested on-line. Experience with these tests, including their capabilities and limitations, are presented. (author)

NEW ASPECTS OF MANUFACTURING ON MACHINE TOOLS

Directory of Open Access Journals (Sweden)

Dorian ŞTEF

2012-11-01

Full Text Available In the paper are presented the modality to minimize the production time and increase the machining accuracy in the milling operations and to analyze different milling strategies. In this analyze the only on modification for face milling operation was to change the tool geometry by mounted a special shape insert WIPER, that have a different geometry, and for pocketing operations the changes was by using different milling strategies for manufacturing pockets. The application for this analyze is a simulation between the process technologies in virtual fabrication made using Esprit CAM (Computer Aided Manufacturing software.

US/DOE Man-Machine Integration program for liquid metal reactors

International Nuclear Information System (INIS)

D'Zmura, A.P.; Seeman, S.E.

1985-03-01

The United States Department of Energy (DOE) Man-Machine Integration program was started in 1980 as an addition to the existing Liquid Metal Fast Breeder Reactor safety base technology program. The overall goal of the DOE program is to enhance the operational safety of liquid metal reactors by optimum integration of humans and machines in the overall reactor plant system and by application of the principles of human-factors engineering to the design of equipment, subsystems, facilities, operational aids, procedures and environments. In the four years since its inception the program has concentrated on understanding the control process for Liquid Metal Reactors (LMRs) and on applying advanced computer concepts to this process. This paper describes the products that have been developed in this program, present computer-related programs, and plans for the future

MAI: the institute is dedicated for long-term operating of nuclear power plants

International Nuclear Information System (INIS)

2016-01-01

The MAI (Materials Ageing Institute) was founded in 2008 by the most important nuclear power plant operators in the world with the aim of sharing resources and expertise for proving that nuclear power plant service life can be extended without jeopardizing safety. Most of MAI's work has focused on the ageing of stainless steels, alloys, polymers and concretes that are used in light water cooled reactors. (A.C.)

Effect of the Cutting Tool Geometry on the Tool Wear Resistance When Machining Inconel 625

Directory of Open Access Journals (Sweden)

Tomáš Zlámal

2017-12-01

Full Text Available The paper deals with the design of a suitable cutting geometry of a tool for the machining of the Inconel 625 nickel alloy. This alloy is among the hard-to-machine refractory alloys that cause very rapid wear on cutting tools. Therefore, SNMG and RCMT indexable cutting insert were used to machine the alloy. The selected insert geometry should prevent notch wear and extend tool life. The alloy was machined under predetermined cutting conditions. The angle of the main edge and thus the size and nature of the wear changed with the depth of the material layer being cut. The criterion for determining a more suitable cutting geometry was the tool’s durability and the roughness of the machined surface.

Effect of the Cutting Tool Geometry on the Tool Wear Resistance when Machining Inconel 625

Directory of Open Access Journals (Sweden)

Tomáš Zlámal

2018-03-01

Full Text Available The paper deals with the design of a suitable cutting geometry of a tool for the machining of the Inconel 625 nickel alloy. This alloy is among the hard-to-machine refractory alloys that cause very rapid wear on cutting tools. Therefore, SNMG and RCMT indexable cutting insert were used to machine the alloy. The selected insert geometry should prevent notch wear and extend tool life. The alloy was machined under predetermined cutting conditions. The angle of the main edge and thus the size and nature of the wear changed with the depth of the material layer being cut. The criterion for determining a more suitable cutting geometry was the tool’s durability and the roughness of the machined surface.

Differences in liver stiffness values obtained with new ultrasound elastography machines and Fibroscan: A comparative study.

Science.gov (United States)

Piscaglia, Fabio; Salvatore, Veronica; Mulazzani, Lorenzo; Cantisani, Vito; Colecchia, Antonio; Di Donato, Roberto; Felicani, Cristina; Ferrarini, Alessia; Gamal, Nesrine; Grasso, Valentina; Marasco, Giovanni; Mazzotta, Elena; Ravaioli, Federico; Ruggieri, Giacomo; Serio, Ilaria; Sitouok Nkamgho, Joules Fabrice; Serra, Carla; Festi, Davide; Schiavone, Cosima; Bolondi, Luigi

2017-07-01

Whether Fibroscan thresholds can be immediately adopted for none, some or all other shear wave elastography techniques has not been tested. The aim of the present study was to test the concordance of the findings obtained from 7 of the most recent ultrasound elastography machines with respect to Fibroscan. Sixteen hepatitis C virus-related patients with fibrosis ≥2 and having reliable results at Fibroscan were investigated in two intercostal spaces using 7 different elastography machines. Coefficients of both precision (an index of data dispersion) and accuracy (an index of bias correction factors expressing different magnitudes of changes in comparison to the reference) were calculated. Median stiffness values differed among the different machines as did coefficients of both precision (range 0.54-0.72) and accuracy (range 0.28-0.87). When the average of the measurements of two intercostal spaces was considered, coefficients of precision significantly increased with all machines (range 0.72-0.90) whereas of accuracy improved more scatteredly and by a smaller degree (range 0.40-0.99). The present results showed only moderate concordance of the majority of elastography machines with the Fibroscan results, preventing the possibility of the immediate universal adoption of Fibroscan thresholds for defining liver fibrosis staging for all new machines. Copyright © 2017 Editrice Gastroenterologica Italiana S.r.l. Published by Elsevier Ltd. All rights reserved.

The Machine within the Machine

CERN Multimedia

Katarina Anthony

2014-01-01

Although Virtual Machines are widespread across CERN, you probably won't have heard of them unless you work for an experiment. Virtual machines - known as VMs - allow you to create a separate machine within your own, allowing you to run Linux on your Mac, or Windows on your Linux - whatever combination you need.   Using a CERN Virtual Machine, a Linux analysis software runs on a Macbook. When it comes to LHC data, one of the primary issues collaborations face is the diversity of computing environments among collaborators spread across the world. What if an institute cannot run the analysis software because they use different operating systems? "That's where the CernVM project comes in," says Gerardo Ganis, PH-SFT staff member and leader of the CernVM project. "We were able to respond to experimentalists' concerns by providing a virtual machine package that could be used to run experiment software. This way, no matter what hardware they have ...

Molecular active plasmonics: controlling plasmon resonances with molecular machines

KAUST Repository

Zheng, Yue Bing

2009-08-26

The paper studies the molecular-level active control of localized surface plasmon resonances (LSPRs) of Au nanodisk arrays with molecular machines. Two types of molecular machines - azobenzene and rotaxane - have been demonstrated to enable the reversible tuning of the LSPRs via the controlled mechanical movements. Azobenzene molecules have the property of trans-cis photoisomerization and enable the photo-induced nematic (N)-isotropic (I) phase transition of the liquid crystals (LCs) that contain the molecules as dopant. The phase transition of the azobenzene-doped LCs causes the refractive-index difference of the LCs, resulting in the reversible peak shift of the LSPRs of the embedded Au nanodisks due to the sensitivity of the LSPRs to the disks\\' surroundings\\' refractive index. Au nanodisk array, coated with rotaxanes, switches its LSPRs reversibly when it is exposed to chemical oxidants and reductants alternatively. The correlation between the peak shift of the LSPRs and the chemically driven mechanical movement of rotaxanes is supported by control experiments and a time-dependent density functional theory (TDDFT)-based, microscopic model.

Molecular active plasmonics: controlling plasmon resonances with molecular machines

KAUST Repository

Zheng, Yue Bing; Yang, Ying-Wei; Jensen, Lasse; Fang, Lei; Juluri, Bala Krishna; Flood, Amar H.; Weiss, Paul S.; Stoddart, J. Fraser; Huang, Tony Jun

2009-01-01

The paper studies the molecular-level active control of localized surface plasmon resonances (LSPRs) of Au nanodisk arrays with molecular machines. Two types of molecular machines - azobenzene and rotaxane - have been demonstrated to enable the reversible tuning of the LSPRs via the controlled mechanical movements. Azobenzene molecules have the property of trans-cis photoisomerization and enable the photo-induced nematic (N)-isotropic (I) phase transition of the liquid crystals (LCs) that contain the molecules as dopant. The phase transition of the azobenzene-doped LCs causes the refractive-index difference of the LCs, resulting in the reversible peak shift of the LSPRs of the embedded Au nanodisks due to the sensitivity of the LSPRs to the disks' surroundings' refractive index. Au nanodisk array, coated with rotaxanes, switches its LSPRs reversibly when it is exposed to chemical oxidants and reductants alternatively. The correlation between the peak shift of the LSPRs and the chemically driven mechanical movement of rotaxanes is supported by control experiments and a time-dependent density functional theory (TDDFT)-based, microscopic model.

Fiscal 1999 achievement report on regional consortium research and development project. Regional consortium activity in its 2nd year (Development of 6-axis Hale machining system); 1999 nendo 6 jiku koseido hale kako system no kaihatsu seika hokokusho. 2

Energy Technology Data Exchange (ETDEWEB)

NONE

2000-03-01

To enhance precision in the machining of complicated shapes and to save labor during the finishing process, research and development is carried out about a Hale machining system based on machining with a non-rotating tool. A tentatively constructed 6-axis Hale machine is tested, and then the intended level of surface coarseness is attained. In relation with machining technologies, a Hale machining tool is modified and provided with a diamond-like carbon coating, and then it is found that this will prolong the tool life. An instrument is developed which measures and evaluates the 6-axis Hale machine operating locus. In relation with CAD/CAM (computer-aided design/computer-aided manufacturing), propositions over the draft for the ISO14649 international standard involving CAM/NC (numerical control) are collected and put together. As for 5-axis machining using the conventional ball-posed end mill, it is concluded that it will be feasible. In relation with NC, an NC unit for the tentatively constructed 6-axis Hale machine is completed, and is evaluated in an actual operation test aboard a real machine. (NEDO)

Representações sociais de mulheres profissionais do sexo sobre a AIDS Social representations of AIDS by female sex workers

Directory of Open Access Journals (Sweden)

Leandro Castro Oltramari

2004-08-01

Full Text Available Este estudo trata do risco da AIDS para profissionais do sexo e seus parceiros. Foram entrevistadas 40 mulheres com idade entre 19 e 47 anos. Pouco menos da metade tinha parceiro fixo. Utilizaram-se entrevistas semi-estruturadas para a obtenção do material verbal, que foi analisado pelo software ALCESTE. Verificaram-se três aspectos da representação social da AIDS: o primeiro destaca-a como uma doença do "outro" (48,3% das unidades de contexto elementar, ou UCE; o segundo define-a como uma doença que ameaça todos os que não usam preservativo (26,7% das UCEs; e o terceiro estabelece ligação da AIDS com uso de drogas e pessoas "suspeitas" (25,0% das UCEs. Conclui-se que as mulheres que têm relação com parceiro fixo não-cliente e com clientes são mais vulneráveis que as outras, pois elas não transferem a experiência de proteção adotada diante dos clientes para as relações com seus parceiros fixos.This study focuses on female sex workers and their respective partners. Semi structured interviews were performed with 40 women with ages between 19 and 47. Around half of the subjects had a fixed relationship. The software ALCESTE analyzed the collected data. Three salient aspects of the social representations of AIDS were detected and are here considered by order of importance: first, AIDS was seen as a disease which affects others, involving 48.3% of the UCE; second, AIDS was seen as a disease that represents a menace to everybody and was seen as being caused by a neglectful use of condoms (26% of UCE; third, AIDS was associated to the use of drugs and to people arousing suspicion. Data also suggested that women who had fixed relationships out of commercial relations were more vulnerable than the others for they did not behave as protectively with their fixed partners as they did with their clients.

Blue gum gaming machine: an evaluation of responsible gambling features.

Science.gov (United States)

Blaszczynski, Alexander; Gainsbury, Sally; Karlov, Lisa

2014-09-01

Structural characteristics of gaming machines contribute to persistence in play and excessive losses. The purpose of this study was to evaluate the effectiveness of five proposed responsible gaming features: responsible gaming messages; a bank meter quarantining winnings until termination of play; alarm clock facilitating setting time-reminders; demo mode allowing play without money; and a charity donation feature where residual amounts can be donated rather than played to zero credits. A series of ten modified gaming machines were located in five Australian gambling venues. The sample comprised 300 patrons attending the venue and who played the gaming machines. Participants completed a structured interview eliciting gambling and socio-demographic data and information on their perceptions and experience of play on the index machines. Results showed that one-quarter of participants considered that these features would contribute to preventing recreational gamblers from developing problems. Just under half of the participants rated these effects to be at least moderate or significant. The promising results suggest that further refinements to several of these features could represent a modest but effective approach to minimising excessive gambling on gaming machines.

Machine Learning Techniques for Stellar Light Curve Classification

Science.gov (United States)

Hinners, Trisha A.; Tat, Kevin; Thorp, Rachel

2018-07-01

We apply machine learning techniques in an attempt to predict and classify stellar properties from noisy and sparse time-series data. We preprocessed over 94 GB of Kepler light curves from the Mikulski Archive for Space Telescopes (MAST) to classify according to 10 distinct physical properties using both representation learning and feature engineering approaches. Studies using machine learning in the field have been primarily done on simulated data, making our study one of the first to use real light-curve data for machine learning approaches. We tuned our data using previous work with simulated data as a template and achieved mixed results between the two approaches. Representation learning using a long short-term memory recurrent neural network produced no successful predictions, but our work with feature engineering was successful for both classification and regression. In particular, we were able to achieve values for stellar density, stellar radius, and effective temperature with low error (∼2%–4%) and good accuracy (∼75%) for classifying the number of transits for a given star. The results show promise for improvement for both approaches upon using larger data sets with a larger minority class. This work has the potential to provide a foundation for future tools and techniques to aid in the analysis of astrophysical data.

Geometric and computer-aided spline hob modeling

Science.gov (United States)

Brailov, I. G.; Myasoedova, T. M.; Panchuk, K. L.; Krysova, I. V.; Rogoza, YU A.

2018-03-01

The paper considers acquiring the spline hob geometric model. The objective of the research is the development of a mathematical model of spline hob for spline shaft machining. The structure of the spline hob is described taking into consideration the motion in parameters of the machine tool system of cutting edge positioning and orientation. Computer-aided study is performed with the use of CAD and on the basis of 3D modeling methods. Vector representation of cutting edge geometry is accepted as the principal method of spline hob mathematical model development. The paper defines the correlations described by parametric vector functions representing helical cutting edges designed for spline shaft machining with consideration for helical movement in two dimensions. An application for acquiring the 3D model of spline hob is developed on the basis of AutoLISP for AutoCAD environment. The application presents the opportunity for the use of the acquired model for milling process imitation. An example of evaluation, analytical representation and computer modeling of the proposed geometrical model is reviewed. In the mentioned example, a calculation of key spline hob parameters assuring the capability of hobbing a spline shaft of standard design is performed. The polygonal and solid spline hob 3D models are acquired by the use of imitational computer modeling.

Bibliography, subject index, and author index of the literature examined by the Radiation Shielding Information Center (Reactor and Weapons Radiation Shielding)

International Nuclear Information System (INIS)

1978-01-01

An indexed bibliography is presented of literature selected by the Radiation Shielding Information Center since the previous volume was published in 1974 in the area of radiation transport and shielding against radiation from nuclear reactors, x-ray machines, radioisotopes, nuclear weapons (including fallout), and low-energy accelerators (e.g., neutron generators). In addition to lists of literature titles by subject categories (accessions 3501-4950), author and keyword indexes are given. Most of the literature selected for Vol. V was published in the years 1973 to 1976

Effect of Machining Velocity in Nanoscale Machining Operations

International Nuclear Information System (INIS)

Islam, Sumaiya; Khondoker, Noman; Ibrahim, Raafat

2015-01-01

The aim of this study is to investigate the generated forces and deformations of single crystal Cu with (100), (110) and (111) crystallographic orientations at nanoscale machining operation. A nanoindenter equipped with nanoscratching attachment was used for machining operations and in-situ observation of a nano scale groove. As a machining parameter, the machining velocity was varied to measure the normal and cutting forces. At a fixed machining velocity, different levels of normal and cutting forces were generated due to different crystallographic orientations of the specimens. Moreover, after machining operation percentage of elastic recovery was measured and it was found that both the elastic and plastic deformations were responsible for producing a nano scale groove within the range of machining velocities from 250-1000 nm/s. (paper)

Spatial Analysis of Accident Spots Using Weighted Severity Index ...

African Journals Online (AJOL)

ADOWIE PERE

Spatial Analysis of Accident Spots Using Weighted Severity Index (WSI) and ... pedestrians avoiding the use of pedestrian bridges/aid even when they are available. ..... not minding an unforeseen obstruction, miscalculations and wrong break.

Design and Performance Improvement of AC Machines Sharing a Common Stator

Science.gov (United States)

Guo, Lusu

With the increasing demand on electric motors in various industrial applications, especially electric powered vehicles (electric cars, more electric aircrafts and future electric ships and submarines), both synchronous reluctance machines (SynRMs) and interior permanent magnet (IPM) machines are recognized as good candidates for high performance variable speed applications. Developing a single stator design which can be used for both SynRM and IPM motors is a good way to reduce manufacturing and maintenance cost. SynRM can be used as a low cost solution for many electric driving applications and IPM machines can be used in power density crucial circumstances or work as generators to meet the increasing demand for electrical power on board. In this research, SynRM and IPM machines are designed sharing a common stator structure. The prototype motors are designed with the aid of finite element analysis (FEA). Machine performances with different stator slot and rotor pole numbers are compared by FEA. An 18-slot, 4-pole structure is selected based on the comparison for this prototype design. Sometimes, torque pulsation is the major drawback of permanent magnet synchronous machines. There are several sources of torque pulsations, such as back-EMF distortion, inductance variation and cogging torque due to presence of permanent magnets. To reduce torque pulsations in permanent magnet machines, all the efforts can be classified into two categories: one is from the design stage, the structure of permanent magnet machines can be optimized with the aid of finite element analysis. The other category of reducing torque pulsation is after the permanent magnet machine has been manufactured or the machine structure cannot be changed because of other reasons. The currents fed into the permanent magnet machine can be controlled to follow a certain profile which will make the machine generate a smoother torque waveform. Torque pulsation reduction methods in both categories will be

Travel with CPAP machines: how frequent and what are the problems?

Science.gov (United States)

Bodington, Richard; Johnson, Owen; Carveth-Johnson, Pippa; Faruqi, Shoaib

2018-01-01

Obstructive sleep apnoea syndrome is a common condition for which continuous positive airways pressure (CPAP) is the standard treatment. The condition affects a population of which a substantial proportion will be travelling. We use a questionnaire survey of CPAP users to gain understanding regarding the behaviours, attitudes and problems surrounding travel with CPAP machines during travel and while abroad. All CPAP patients on our database at a UK district general hospital reviewed over a period of 4 years were sent a postal questionnaire. A response rate of 53% was achieved giving data on 588 trips. In the last 2 years, 63.7% of respondents had travelled; reasons for not travelling were CPAP related in only five cases. Travellers took their CPAP machines on 81% of trips. A similar proportion of patients took their CPAP machines regardless of the mode of travel, destination or length of holiday. Problems with checking in the CPAP machine were encountered in 4% of trips, all as part of air travel. Just over a third of patients faced problems either with the power cord, adapter or transport of the CPAP machine. Of those taking overnight flights, half did not sleep and none used their CPAP machines in flight. CPAP usage while away did not differ to usage at home. This is the first report to describe in some detail CPAP machine use and associated problems in travel and while away. The data may aid the targeting of brief interventions in CPAP clinics as well as helping to standardize the process of check-in in order to help travellers with CPAP machines. © International Society of Travel Medicine, 2017. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com

PCA-based polling strategy in machine learning framework for coronary artery disease risk assessment in intravascular ultrasound: A link between carotid and coronary grayscale plaque morphology.

Science.gov (United States)

Araki, Tadashi; Ikeda, Nobutaka; Shukla, Devarshi; Jain, Pankaj K; Londhe, Narendra D; Shrivastava, Vimal K; Banchhor, Sumit K; Saba, Luca; Nicolaides, Andrew; Shafique, Shoaib; Laird, John R; Suri, Jasjit S

2016-05-01

Percutaneous coronary interventional procedures need advance planning prior to stenting or an endarterectomy. Cardiologists use intravascular ultrasound (IVUS) for screening, risk assessment and stratification of coronary artery disease (CAD). We hypothesize that plaque components are vulnerable to rupture due to plaque progression. Currently, there are no standard grayscale IVUS tools for risk assessment of plaque rupture. This paper presents a novel strategy for risk stratification based on plaque morphology embedded with principal component analysis (PCA) for plaque feature dimensionality reduction and dominant feature selection technique. The risk assessment utilizes 56 grayscale coronary features in a machine learning framework while linking information from carotid and coronary plaque burdens due to their common genetic makeup. This system consists of a machine learning paradigm which uses a support vector machine (SVM) combined with PCA for optimal and dominant coronary artery morphological feature extraction. Carotid artery proven intima-media thickness (cIMT) biomarker is adapted as a gold standard during the training phase of the machine learning system. For the performance evaluation, K-fold cross validation protocol is adapted with 20 trials per fold. For choosing the dominant features out of the 56 grayscale features, a polling strategy of PCA is adapted where the original value of the features is unaltered. Different protocols are designed for establishing the stability and reliability criteria of the coronary risk assessment system (cRAS). Using the PCA-based machine learning paradigm and cross-validation protocol, a classification accuracy of 98.43% (AUC 0.98) with K=10 folds using an SVM radial basis function (RBF) kernel was achieved. A reliability index of 97.32% and machine learning stability criteria of 5% were met for the cRAS. This is the first Computer aided design (CADx) system of its kind that is able to demonstrate the ability of coronary

Multi-temporal Land Use Mapping of Coastal Wetlands Area using Machine Learning in Google Earth Engine

Science.gov (United States)

Farda, N. M.

2017-12-01

Coastal wetlands provide ecosystem services essential to people and the environment. Changes in coastal wetlands, especially on land use, are important to monitor by utilizing multi-temporal imagery. The Google Earth Engine (GEE) provides many machine learning algorithms (10 algorithms) that are very useful for extracting land use from imagery. The research objective is to explore machine learning in Google Earth Engine and its accuracy for multi-temporal land use mapping of coastal wetland area. Landsat 3 MSS (1978), Landsat 5 TM (1991), Landsat 7 ETM+ (2001), and Landsat 8 OLI (2014) images located in Segara Anakan lagoon are selected to represent multi temporal images. The input for machine learning are visible and near infrared bands, PCA band, invers PCA bands, bare soil index, vegetation index, wetness index, elevation from ASTER GDEM, and GLCM (Harralick) texture, and also polygon samples in 140 locations. There are 10 machine learning algorithms applied to extract coastal wetlands land use from Landsat imagery. The algorithms are Fast Naive Bayes, CART (Classification and Regression Tree), Random Forests, GMO Max Entropy, Perceptron (Multi Class Perceptron), Winnow, Voting SVM, Margin SVM, Pegasos (Primal Estimated sub-GrAdient SOlver for Svm), IKPamir (Intersection Kernel Passive Aggressive Method for Information Retrieval, SVM). Machine learning in Google Earth Engine are very helpful in multi-temporal land use mapping, the highest accuracy for land use mapping of coastal wetland is CART with 96.98 % Overall Accuracy using K-Fold Cross Validation (K = 10). GEE is particularly useful for multi-temporal land use mapping with ready used image and classification algorithms, and also very challenging for other applications.

Computer aided analysis of disturbances

International Nuclear Information System (INIS)

Baldeweg, F.; Lindner, A.

1986-01-01

Computer aided analysis of disturbances and the prevention of failures (diagnosis and therapy control) in technological plants belong to the most important tasks of process control. Research in this field is very intensive due to increasing requirements to security and economy of process control and due to a remarkable increase of the efficiency of digital electronics. This publication concerns with analysis of disturbances in complex technological plants, especially in so called high risk processes. The presentation emphasizes theoretical concept of diagnosis and therapy control, modelling of the disturbance behaviour of the technological process and the man-machine-communication integrating artificial intelligence methods, e.g., expert system approach. Application is given for nuclear power plants. (author)

Robotic devices and brain-machine interfaces for hand rehabilitation post-stroke

OpenAIRE

McConnell, Alistair C; Moioli, Renan C; Brasil, Fabricio L; Vallejo, Marta; Corne, David W; Vargas, Patricia A; Stokes, Adam A

2017-01-01

OBJECTIVE: To review the state of the art of robotic-aided hand physiotherapy for post-stroke rehabilitation, including the use of brain-machine interfaces. Each patient has a unique clinical history and, in response to personalized treatment needs, research into individualized and at-home treatment options has expanded rapidly in recent years. This has resulted in the development of many devices and design strategies for use in stroke rehabilitation.METHODS: The development progression of ro...

Biomarkers for Musculoskeletal Pain Conditions: Use of Brain Imaging and Machine Learning.

Science.gov (United States)

Boissoneault, Jeff; Sevel, Landrew; Letzen, Janelle; Robinson, Michael; Staud, Roland

2017-01-01

Chronic musculoskeletal pain condition often shows poor correlations between tissue abnormalities and clinical pain. Therefore, classification of pain conditions like chronic low back pain, osteoarthritis, and fibromyalgia depends mostly on self report and less on objective findings like X-ray or magnetic resonance imaging (MRI) changes. However, recent advances in structural and functional brain imaging have identified brain abnormalities in chronic pain conditions that can be used for illness classification. Because the analysis of complex and multivariate brain imaging data is challenging, machine learning techniques have been increasingly utilized for this purpose. The goal of machine learning is to train specific classifiers to best identify variables of interest on brain MRIs (i.e., biomarkers). This report describes classification techniques capable of separating MRI-based brain biomarkers of chronic pain patients from healthy controls with high accuracy (70-92%) using machine learning, as well as critical scientific, practical, and ethical considerations related to their potential clinical application. Although self-report remains the gold standard for pain assessment, machine learning may aid in the classification of chronic pain disorders like chronic back pain and fibromyalgia as well as provide mechanistic information regarding their neural correlates.

Terapia nutricional nas alterações metabólicas em pessoas vivendo com HIV/aids

Directory of Open Access Journals (Sweden)

Marianne Falco

2012-08-01

Full Text Available OBJETIVO: Analisar o efeito do tratamento nutricional sobre as alterações metabólicas provocadas pelo uso da terapia antirretroviral em adultos vivendo com HIV/aids. MÉTODOS: Revisão sistemática de literatura no PubMed, Lilacs e Cochrane, entre 1996 e 2010, do tipo ensaio clínico, controlado, randomizado, crossover, adultos, vivendo com HIV/aids em uso de terapia antirretroviral e sem doenças oportunistas. A intervenção de interesse foi suplementação nutricional via oral e/ou mudança de estilo de vida por tratamento dietoterápico específico: dislipidemia, resistência insulínica, lipodistrofia e hipertensão arterial sistêmica. A escala de Jadad foi utilizada para classificação qualitativa dos artigos. RESULTADOS: Foram localizados 385 artigos e sete foram incluídos. As intervenções utilizadas nesses estudos foram: dieta, dieta mais exercício físico, dieta mais suplemento e somente suplementos. Dislipidemia foi desfecho avaliado em todos os estudos. Os estudos que avaliaram suplementação com ômega 3 encontraram redução significativa dos triglicérides. Dieta específica mais suplementação de ômega 3 mostrou aumento de HDL-colesterol. Suplementação com nicotinato de cromo não teve efeito sobre a dislipidemia. Modificação de estilo de vida, incluindo dieta e atividade física, reduziu significativamente a circunferência da cintura, lipodistrofia e pressão arterial sistólica. CONCLUSÕES: A redução de triglicérides pela suplementação com ômega 3 foi a intervenção nutricional com maiores evidências científicas. A prescrição de dieta específica parece ser a intervenção mais adequada para aumentar HDL-colesterol. Não é possível fazer inferências sobre o tratamento nutricional do colesterol total, LDL-colesterol e resistência insulínica. Modificações no estilo de vida podem promover melhora da lipodistrofia e pressão arterial.

SOPHIA: Soft Orthotic Physiotherapy Hand Interactive Aid

Directory of Open Access Journals (Sweden)

Alistair C. McConnell

2017-06-01

Full Text Available This work describes the design, fabrication, and initial testing of a Soft Orthotic Physiotherapy Hand Interactive Aid (SOPHIA for stroke rehabilitation. SOPHIA consists of (1 a soft robotic exoskeleton, (2 a microcontroller-based control system driven by a brain–machine interface (BMI, and (3 a sensorized glove for passive rehabilitation. In contrast to other rehabilitation devices, SOPHIA is the first modular prototype of a rehabilitation system that is capable of three tasks: aiding extension based assistive rehabilitation, monitoring patient exercises, and guiding passive rehabilitation. Our results show that this prototype of the device is capable of helping healthy subjects to open their hand. Finger extension is triggered by a command from the BMI, while using a variety of sensors to ensure a safe motion. All data gathered from the device will be used to guide further improvements to the prototype, aiming at developing specifications for the next generation device, which could be used in future clinical trials.

SELECTION OF NON-CONVENTIONAL MACHINING PROCESSES USING THE OCRA METHOD

Directory of Open Access Journals (Sweden)

Miloš Madić

2015-04-01

Full Text Available Selection of the most suitable nonconventional machining process (NCMP for a given machining application can be viewed as multi-criteria decision making (MCDM problem with many conflicting and diverse criteria. To aid these selection processes, different MCDM methods have been proposed. This paper introduces the use of an almost unexplored MCDM method, i.e. operational competitiveness ratings analysis (OCRA method for solving the NCMP selection problems. Applicability, suitability and computational procedure of OCRA method have been demonstrated while solving three case studies dealing with selection of the most suitable NCMP. In each case study the obtained rankings were compared with those derived by the past researchers using different MCDM methods. The results obtained using the OCRA method have good correlation with those derived by the past researchers which validate the usefulness of this method while solving complex NCMP selection problems.

Implementing finite state machines in a computer-based teaching system

Science.gov (United States)

Hacker, Charles H.; Sitte, Renate

1999-09-01

Finite State Machines (FSM) are models for functions commonly implemented in digital circuits such as timers, remote controls, and vending machines. Teaching FSM is core in the curriculum of many university digital electronic or discrete mathematics subjects. Students often have difficulties grasping the theoretical concepts in the design and analysis of FSM. This has prompted the author to develop an MS-WindowsTM compatible software, WinState, that provides a tutorial style teaching aid for understanding the mechanisms of FSM. The animated computer screen is ideal for visually conveying the required design and analysis procedures. WinState complements other software for combinatorial logic previously developed by the author, and enhances the existing teaching package by adding sequential logic circuits. WinState enables the construction of a students own FSM, which can be simulated, to test the design for functionality and possible errors.

Prediction of Machine Tool Condition Using Support Vector Machine

International Nuclear Information System (INIS)

Wang Peigong; Meng Qingfeng; Zhao Jian; Li Junjie; Wang Xiufeng

2011-01-01

Condition monitoring and predicting of CNC machine tools are investigated in this paper. Considering the CNC machine tools are often small numbers of samples, a condition predicting method for CNC machine tools based on support vector machines (SVMs) is proposed, then one-step and multi-step condition prediction models are constructed. The support vector machines prediction models are used to predict the trends of working condition of a certain type of CNC worm wheel and gear grinding machine by applying sequence data of vibration signal, which is collected during machine processing. And the relationship between different eigenvalue in CNC vibration signal and machining quality is discussed. The test result shows that the trend of vibration signal Peak-to-peak value in surface normal direction is most relevant to the trend of surface roughness value. In trends prediction of working condition, support vector machine has higher prediction accuracy both in the short term ('One-step') and long term (multi-step) prediction compared to autoregressive (AR) model and the RBF neural network. Experimental results show that it is feasible to apply support vector machine to CNC machine tool condition prediction.

Machine learning: a useful radiological adjunct in determination of a newly diagnosed glioma's grade and IDH status.

Science.gov (United States)

De Looze, Céline; Beausang, Alan; Cryan, Jane; Loftus, Teresa; Buckley, Patrick G; Farrell, Michael; Looby, Seamus; Reilly, Richard; Brett, Francesca; Kearney, Hugh

2018-05-16

Machine learning methods have been introduced as a computer aided diagnostic tool, with applications to glioma characterisation on MRI. Such an algorithmic approach may provide a useful adjunct for a rapid and accurate diagnosis of a glioma. The aim of this study is to devise a machine learning algorithm that may be used by radiologists in routine practice to aid diagnosis of both: WHO grade and IDH mutation status in de novo gliomas. To evaluate the status quo, we interrogated the accuracy of neuroradiology reports in relation to WHO grade: grade II 96.49% (95% confidence intervals [CI] 0.88, 0.99); III 36.51% (95% CI 0.24, 0.50); IV 72.9% (95% CI 0.67, 0.78). We derived five MRI parameters from the same diagnostic brain scans, in under two minutes per case, and then supplied these data to a random forest algorithm. Machine learning resulted in a high level of accuracy in prediction of tumour grade: grade II/III; area under the receiver operating characteristic curve (AUC) = 98%, sensitivity = 0.82, specificity = 0.94; grade II/IV; AUC = 100%, sensitivity = 1.0, specificity = 1.0; grade III/IV; AUC = 97%, sensitivity = 0.83, specificity = 0.97. Furthermore, machine learning also facilitated the discrimination of IDH status: AUC of 88%, sensitivity = 0.81, specificity = 0.77. These data demonstrate the ability of machine learning to accurately classify diffuse gliomas by both WHO grade and IDH status from routine MRI alone-without significant image processing, which may facilitate usage as a diagnostic adjunct in clinical practice.

Estigma e discriminação vividos na escola por crianças e jovens órfãos por Aids Stigma and discrimination at school experienced by children and youngsters orphaned by AIDS

Directory of Open Access Journals (Sweden)

Eliana Miura Zucchi

2010-12-01

Full Text Available A restrição de direitos humanos é uma das características mais marcantes da epidemia da Aids. Crianças e jovens infectados ou afetados pela Aids são particularmente vulneráveis a sofrer estigma em ambientes educacionais. O objetivo deste artigo foi analisar episódios de estigma e discriminação relacionados ao HIV/Aids na escola. Integradas a um estudo de base populacional, foram analisadas sete entrevistas em profundidade com coordenadores pedagógicos de seis escolas públicas e privadas, de ensino infantil e fundamental, na cidade de São Paulo. A maioria dos episódios de estigma vividos por crianças e jovens no âmbito escolar ocorreu em circunstâncias de namoro/sexualidade, conflito com colegas, dificuldade de aprendizagem, revelação da orfandade por Aids, interação entre professores e alunos com HIV, sendo as causas mais frequentemente atribuídas: ter HIV, ser proveniente de "família desestruturada", desigualdade nos papéis de gênero, idade e classe social. Homofobia e racismo foram indicados como reforçadores do estigma. Foram descritas respostas institucionais ao estigma da Aids e práticas de atividades de prevenção às DST/Aids. Os episódios indicam o quanto o estigma e a discriminação relacionados ao HIV/Aids podem aprofundar uma desigualdade social já instalada no âmbito da educação, constituindo obstáculos ao direito à educação, à convivência familiar, ao lazer, à privacidade, ao sigilo/confidencialidade e à vida afetiva dos jovens. Por outro lado, tais episódios também expressam a ausência de programas de prevenção nas escolas visitadas e a dificuldade de abordar outras modalidades de estigma (tais como racismo e estigma da pobreza.The restriction of human rights is one of the most poignant features of the AIDS epidemics. Children and youngsters infected or otherwise affected by AIDS are particularly vulnerable to stigma in educational environments. The purpose of this article is to

Environmentally Friendly Machining

CERN Document Server

Dixit, U S; Davim, J Paulo

2012-01-01

Environment-Friendly Machining provides an in-depth overview of environmentally-friendly machining processes, covering numerous different types of machining in order to identify which practice is the most environmentally sustainable. The book discusses three systems at length: machining with minimal cutting fluid, air-cooled machining and dry machining. Also covered is a way to conserve energy during machining processes, along with useful data and detailed descriptions for developing and utilizing the most efficient modern machining tools. Researchers and engineers looking for sustainable machining solutions will find Environment-Friendly Machining to be a useful volume.

Geografia social da AIDS no Brasil The social geography of AIDS in Brazil

Directory of Open Access Journals (Sweden)

Francisco Inácio Bastos

1995-02-01

Full Text Available São divulgados os primeiros resultados da avaliação da dinâmica da epidemia da AIDS no Brasil através de técnicas de análise da distribuição espacial. São revisadas questões metodológicas, apontando as dificuldades de estabelecer regiões geográficas homogêneas no Brasil. Descrevem-se tendências recentes da dinâmica da epidemia da AIDS no Brasil - pauperização, interiorização e alteração na participação proporcional das categorias de exposição. Avalia-se a distribuição de casos de AIDS por Unidades da Federação (UFs, confeccionando-se mapas relativos à disseminação da epidemia no período 1987-1993 nas diversas UFs, estabelecendo-se os Centros Gravimétricos (CGs relativos a esses anos. A análise do posicionamento e deslocamento pluri-anual desses CGs indica a força atrativa do Estado de São Paulo como pólo de difusão da epidemia e uma expansão simultânea da epidemia em direção às fronteiras de ocupação. Essas tendências colocam dificuldades adicionais às atividades de prevenção ao acrescentarem novos segmentos populacionais e regiões geográficas ao quadro observado inicialmente nas principais regiões metropolitanas e segmentos mais afetados.The first of a series of papers concerning the evaluation of the dynamics of the AIDS epidemic in Brazil employing techniques of geographical analysis, is here presented. Results of research undertaken in the US (especially in New York City are compared with those of a recent investigation carried out in the city of S.Paulo, Brazil (Grangeiro, 1994. In both, geographical patterns of socio-demographic variables correlate with different patterns of the spread of the AIDS epidemic through the transmission groups. Recent trends of the AIDS epidemic in Brazil: the displacement toward medium sized cities and expansion frontiers, increasing report of AIDS cases among the poor and underprivileged, changes in the pattern of transmission with proportional

A Tool for Assessing the Text Legibility of Digital Human Machine Interfaces

Energy Technology Data Exchange (ETDEWEB)

Roger Lew; Ronald L. Boring; Thomas A. Ulrich

2015-08-01

A tool intended to aid qualified professionals in the assessment of the legibility of text presented on a digital display is described. The assessment of legibility is primarily for the purposes of designing and analyzing human machine interfaces in accordance with NUREG-0700 and MIL-STD 1472G. The tool addresses shortcomings of existing guidelines by providing more accurate metrics of text legibility with greater sensitivity to design alternatives.

Bibliography, subject index, and author index of the literature examined by the radiation shielding information center. Volume 6. Reactor and weapons radiation shielding

International Nuclear Information System (INIS)

1980-05-01

An indexed bibliography is presented of literature selected by the Radiation Shielding Information Center since the previous volume was published in 1978 in the area of radiation transport and shielding against radiation from nuclear reactors, x-ray machines, radioisotopes, nuclear weapons (including fallout), and low energy accelerators (e.g., neutron generators). The bibliography was typeset from data processed by computer from magnetic tape files. In addition to lists of literature titles by subject categories (accessions 4951-6200), an author index is given

Programa Mais Educação: impactos e perspectivas nas escolas do campo

Directory of Open Access Journals (Sweden)

Cláudia da Mota Darós Parente

2017-08-01

Full Text Available This study aims to analyze the impacts of the “Mais Educação” Program in Brazilian countryside schools, with reflections on the limits and possibilities of the program and full-time education. Information was collected through electronic questionnaires sent to public schools participating in the “Mais Educação” Program. The research considered different aspects: expanding the school day; record of full-time enrollments in the school census; provision of human, educational and financial resources; changes in available spaces; provision of educational, cultural, artistic and sports activities; improvement in the communication process with the community; providing continuing education; changes in the political-pedagogical project and the school curriculum; changes in student behavior; improvement in school performance; improvement in the quality of school meals; development of partnerships; use of other available spaces. Through a quantitative and qualitative analysis, we identified significant impacts of the program in the countryside schools, especially with regard to the expansion of educational opportunities. However, the achieved benefits occur among the historical problems present in the countryside schools that were not overcome by virtue of the “Mais Educação” Program format and depend on the consideration of local governments (states, municipalities and Federal District. It presents reflections on the limits and possibilities of the “Mais Educação” Program and full-time education in the Brazilian countryside schools. O presente trabalho tem como objetivo analisar os impactos do Programa Mais Educação nas escolas do campo brasileiras, apresentando reflexões sobre limites e possibilidades do programa e da educação em tempo integral. Os dados foram coletados por meio de questionários eletrônicos enviados às escolas públicas participantes do Programa Mais Educação. A pesquisa considerou diferentes aspectos

As Organizações da Sociedade Civil no enfrentamento à AIDS no Amazonas, Brasil

Directory of Open Access Journals (Sweden)

Michele Rocha Kadri

2015-05-01

Full Text Available Este estudo objetivou analisar a percepção que as Organizações da Sociedade Civil fazem de sua contribuição na história do enfrentamento à AIDS, no Amazonas. Trata-se de pesquisa qualitativa com uso de fontes documentais e orais. Os dados foram coletados entre junho e setembro de 2013. Utilizou-se técnica de entrevistas com roteiro semiestruturado com as lideranças de oito organizações que trabalham/trabalharam com grupos mais vulneráveis. A partir da análise do discurso, concluiu-se que com a descentralização de recursos do Departamento de DST, AIDS e Hepatites Virais para as Coordenações locais, as Organizações reconhecem dois momentos distintos: um primeiro momento de fortalecimento organizacional, engajamento coletivo e participação política ativa; e um momento atual de distanciamento entre as Organizações e desarticulação política e, consequentemente, enfraquecimento do movimento social na luta contra AIDS no Amazonas.

An open CAM system for dentistry on the basis of China-made 5-axis simultaneous contouring CNC machine tool and industrial CAM software.

Science.gov (United States)

Lu, Li; Liu, Shusheng; Shi, Shenggen; Yang, Jianzhong

2011-10-01

China-made 5-axis simultaneous contouring CNC machine tool and domestically developed industrial computer-aided manufacture (CAM) technology were used for full crown fabrication and measurement of crown accuracy, with an attempt to establish an open CAM system for dental processing and to promote the introduction of domestic dental computer-aided design (CAD)/CAM system. Commercially available scanning equipment was used to make a basic digital tooth model after preparation of crown, and CAD software that comes with the scanning device was employed to design the crown by using domestic industrial CAM software to process the crown data in order to generate a solid model for machining purpose, and then China-made 5-axis simultaneous contouring CNC machine tool was used to complete machining of the whole crown and the internal accuracy of the crown internal was measured by using 3D-MicroCT. The results showed that China-made 5-axis simultaneous contouring CNC machine tool in combination with domestic industrial CAM technology can be used for crown making and the crown was well positioned in die. The internal accuracy was successfully measured by using 3D-MicroCT. It is concluded that an open CAM system for dentistry on the basis of China-made 5-axis simultaneous contouring CNC machine tool and domestic industrial CAM software has been established, and development of the system will promote the introduction of domestically-produced dental CAD/CAM system.

Bibliography, subject index, and author index of the literature examined by the Radiation Shielding Information Center. Volume 7

Energy Technology Data Exchange (ETDEWEB)

Trubey, D.K.; Roussin, R.W.; Gustin, A.B.

1983-08-01

An indexed bibliography of open literature selected by the Radiation Shielding Information Center since the previous volume was published in 1980 is presented in the area of radiation transport and shielding against radiation from nuclear reactors (fission and fusion), x-ray machines, radioisotopes, nuclear weapons (including fallout, and low energy accelerators (e.g., neutron generators). The bibliography was typeset from computer files constituting the RSIC Storage and Retrieval Information System. In addition to lists of literature titles by subject categories (accessions 6201-10156), an author index is given. Most of the literature selected for Volume VII was published in the years 1977 to 1981.

Bibliography, subject index, and author index of the literature examined by the Radiation Shielding Information Center. Volume 7

International Nuclear Information System (INIS)

Trubey, D.K.; Roussin, R.W.; Gustin, A.B.

1983-08-01

An indexed bibliography of open literature selected by the Radiation Shielding Information Center since the previous volume was published in 1980 is presented in the area of radiation transport and shielding against radiation from nuclear reactors (fission and fusion), x-ray machines, radioisotopes, nuclear weapons (including fallout, and low energy accelerators (e.g., neutron generators). The bibliography was typeset from computer files constituting the RSIC Storage and Retrieval Information System. In addition to lists of literature titles by subject categories (accessions 6201-10156), an author index is given. Most of the literature selected for Volume VII was published in the years 1977 to 1981

Methamphetamine use is associated with high levels of depressive symptoms in adolescents and young adults in Rural Chiang Mai Province, Thailand.

Science.gov (United States)

DiMiceli, Lauren E; Sherman, Susan G; Aramrattana, Apinun; Sirirojn, Bangorn; Celentano, David D

2016-02-19

High levels of depressive symptoms often occur among individuals that use or that are dependent on methamphetamine (MA). Thailand is currently experiencing an epidemic of MA use among youth. Understanding the nature of the relationship between depressive symptoms and MA use and identifying those most at risk can further understanding of prevention and treatment options for youth who use MA and present with depressive symptoms. In 2011, we conducted a cross sectional epidemiologic study that examined associations between MA use and high levels of depressive symptoms among adolescents and young adults aged 14-29 living in Chiang Mai province, Thailand. A combination of cluster and systematic sampling was conducted to obtain a study sample of participants actively recruited in Chiang Mai province. Depressive symptoms were measured using a Thai translation of the Centers for Epidemiologic Studies Depression scale (CES-D). The independent variables measured reported lifetime and recent MA use within the past 3 months. Multivariate logistic regression models were used to assess associations between MA use and high levels of depressive symptoms. Approximately 19% (n = 394) of the sample reported ever having consumed MA and 31% (n = 124) of lifetime users reported recent MA use within the past 3 months. Recent MA use was associated with high levels of depressive symptoms (aPOR recent use: 2.60, 95% CI: 1.20, 5.63). This is one of the first studies to examine the association between MA use and high levels of depressive symptoms in a general Thai population. The odds of having high levels of depressive symptoms was significantly greater among recent MA users compared to non-users. These findings support the need for policies, programs and interventions to prevent and treat depressive symptoms presenting among MA using Thai adolescents and young adults in rural Chiang Mai province, Thailand to aid in cessation of MA use. Furthermore, additional research is needed to

Computer-based expert system aids underground mine planning

Energy Technology Data Exchange (ETDEWEB)

Britton, S.G.

1987-04-01

Artificial intelligence (AI) systems have been rapidly expanded over the last few years to aid in the decision making processes in a whole range of industries, including the use of machines for operating in high risk/dangerous areas such as at the working faces in longwall mining. Using Prolog software a program for mine management is being developed called CHOOZ. This system can help managers identify staffing problems and change manpower shifts to cope with unexpected labor problems such as absenteeism and sickness. All the programs have been developed for the IBM PC microcomputer.

Diagnostics of machine parts by means of reverse engineering procedures

Directory of Open Access Journals (Sweden)

Jacek Rysinski

2015-05-01

Full Text Available In this article, an application of a three-dimensional scanner for building a special diagnostic stand is described. An experimental method of detection of material defects is discussed. The considered defects are connected with cooperation of particular surfaces of machine parts. In the discussed experiments, particularly the dimensions of pitting holes can be evaluated. Availability of laboratory facilities required that the investigations were performed using geared wheels. The three-dimensional model which represents a degenerated surface, obtained based upon the diagnostic measurements, was compared with the pattern of an undamaged surface. The latter was generated by means of our pre-processor. The pre-processor enables generation of files which are compatible with the majority of the computer-aided design system formats. Therefore, the analyses were performed by means of commercial system inventor and computer-aided three-dimensional interactive application.

FY 1992 research and development project for large-scale industrial technologies. Report on results of R and D of superhigh technological machining systems; 1992 nendo chosentan kako system no kenkyu kaihatsu seika hokokusho

Energy Technology Data Exchange (ETDEWEB)

NONE

1993-03-01

Described herein are the FY 1992 results of the R and D project aimed at establishment of the technologies for development of, e.g., machine and electronic device members of superhigh precision and high functions by processing and superhigh-precision machining aided by excited beams. The elementary researches on superhigh-precision machining achieve the given targets for precision stability of the feed positioning device. The researches on development of high-precision rotating devices, on a trial basis, are directed to improvement of rotational precision of pneumatic static pressure bearings and magnetism correction/controlling circuits, increasing speed and precision of 3-point type rotational precision measurement methods, and development of rotation-driving motors, achieving rotational precision of 0.015{mu}m at 2000rpm. The researches on the surface modification technologies aided by ion beams involve experiments for production of crystalline Si films and thin-film transistors of the Si films, using the surface-modified portion of a large-size glass substrate. The researches on superhigh-technological machining standard measurement involve development of length-measuring systems aided by a dye laser, achieving a precision of {+-} 10nm or less in a 100mm measurement range. (NEDO)

Bureau of Radiological Health Publications Index, August 1978. Report for 1953--1978

International Nuclear Information System (INIS)

1978-08-01

The Bureau of Radiological Health Publications Index to the publications of the Bureau of Radiological Health was prepared to aid in the retrieval and identification of publications originated or authored by Bureau staff or published by the Bureau. These publications include journal articles, government publications and technical reports, selected staff papers and Bureau news releases issued by HEW. For convenience, the document is divided into three sections, KWIC Index, Author Index, and Bibliography Index as described. A section on BRH Technical Reports Index by Subject is included. This portion of the Publications Index lists only those reports published by BRH since 1972

Associations between damage location and five main body region injuries of MAIS 3–6 injured occupants

Science.gov (United States)

Tang, Youming; Cao, Libo; Kan, Steven

2014-01-01

Objectives To examine the damage location distribution of five main body region injuries of maximum abbreviated injury score (MAIS) 3–6 injured occupants for nearside struck vehicle in front-to-side impact crashes. Design and setting MAIS 3–6 injured occupants information was extracted from the US-National Automotive Sampling System/Crashworthiness Data System in the year 2007; it included the head/face/neck, chest, pelvis, upper extremity and lower extremity. Struck vehicle collision damage was classified in a three-dimensional system according to the J224 Collision Deformation Classification of SAE Surface Vehicle Standard. Participants Nearside occupants seated directly adjacent to the struck side of the vehicle with MAIS 3–6 injured, in light truck vehicles–passenger cars (LTV–PC) side impact crashes. Outcome measures Distribution of MAIS 3–6 injured occupants by body regions and specific location of damage (lateral direction, horizontal direction and vertical direction) were examined. Injury risk ratio was also assessed. Results The lateral crush zone contributed to MAIS 3–6 injured occupants (n=705) and 50th centile injury risks when extended into zone 3. When the crush extended to zone 4, the injury risk ratio of MAIS 3–6 injured occupants approached 81%. The horizontal crush zones contributing to the highest injury risk ratio of MAIS 3–6 occupants were zones ‘D’ and ‘Y’, and the injury risk ratios were 25.4% and 36.9%, respectively. In contrast, the lowest injury risk ratio was 5.67% caused by zone ‘B’. The vertical crush zone which contributed to the highest injury risk ratio of MAIS 3–6 occupants was zone ‘E’, whose injury risk ratio was 58%. In contrast, the lowest injury risk ratio was 0.14% caused by zone ‘G+M’. Conclusions The highest injury risk ratio of MAIS 3–6 injured occupants caused by crush intrusion between 40 and 60 cm in LTV–PC nearside impact collisions and the damage region of the struck

Process capability improvement through DMAIC for aluminum alloy wheel machining

Science.gov (United States)

Sharma, G. V. S. S.; Rao, P. Srinivasa; Babu, B. Surendra

2017-07-01

This paper first enlists the generic problems of alloy wheel machining and subsequently details on the process improvement of the identified critical-to-quality machining characteristic of A356 aluminum alloy wheel machining process. The causal factors are traced using the Ishikawa diagram and prioritization of corrective actions is done through process failure modes and effects analysis. Process monitoring charts are employed for improving the process capability index of the process, at the industrial benchmark of four sigma level, which is equal to the value of 1.33. The procedure adopted for improving the process capability levels is the define-measure-analyze-improve-control (DMAIC) approach. By following the DMAIC approach, the C p, C pk and C pm showed signs of improvement from an initial value of 0.66, -0.24 and 0.27, to a final value of 4.19, 3.24 and 1.41, respectively.

Hybrid machining processes perspectives on machining and finishing

CERN Document Server

Gupta, Kapil; Laubscher, R F

2016-01-01

This book describes various hybrid machining and finishing processes. It gives a critical review of the past work based on them as well as the current trends and research directions. For each hybrid machining process presented, the authors list the method of material removal, machining system, process variables and applications. This book provides a deep understanding of the need, application and mechanism of hybrid machining processes.

Level of HIV/AIDS Information Consciousness among Secondary ...

African Journals Online (AJOL)

FIRST LADY

1996-10-01

Oct 1, 1996 ... Indexed African Journals Online: www.ajol.info. An International ... Two decades ago, acquired Immuno Deficiency Syndrome (AIDS) was ... The virus can live in a person's body for several years without causing any obvious ... spend long hours of the day away from home, and with peers who belong to.

Tendência da epidemia de casos de aids no Sul do Brasil no período de 1986 a 2008

Directory of Open Access Journals (Sweden)

Flaviane Mello Lazarini

2012-12-01

Full Text Available OBJETIVO: Descrever a tendência dos casos de aids por sexo e faixa etária de 1986 a 2008. MÉTODOS: Foi analisada a tendência da aids por faixa etária e por sexo, em Londrina, PR, em dois períodos: 1986-1995 e 1996-2008. Dentre os modelos polinomiais, o de primeiro grau explicou melhor a tendência da epidemia da aids nos dois períodos. Foram calculadas as taxas de incidência para homens que fazem sexo com homens (HSH, usuários de drogas injetáveis (UDI, homens heterossexuais e mulheres. RESULTADOS: No primeiro período, de 1986 a 1995, houve incremento das taxas de incidência em quase todas as faixas etárias e crescimento da epidemia em ambos os sexos (p < 0,001, mais acentuado em homens de 14 a 39 anos. O segundo período (1996-2008 não apresentou incremento estatístico positivo ou negativo, indicando estabilização da epidemia. Verificou-se que ocorreu queda significativa na faixa de 14 a 29 anos no sexo masculino, com incremento de 0,88 no primeiro período e 0,87 no segundo. Mulheres de 50 anos e mais apresentaram aumento significativo (p = 0,019. Os grupos UDI e HSH predominaram como categorias de exposição e HSH ultrapassou UDI no último triênio do estudo. A partir de 2000, a taxa de incidência entre mulheres de 15 a 49 anos superou a de homens heterossexuais. CONCLUSÕES: Houve queda nas taxas de incidência nas faixas etárias mais jovens e estabilização nas demais idades. O aumento da proporção de mulheres e do predomínio de HSH entre as categorias de exposição aponta para necessidade de estratégias diferenciadas para atingir grupos com características diversas.

Development and field evaluation of an intercropping machine for corn and bean

Directory of Open Access Journals (Sweden)

A Mondani

2016-09-01

pulverizing lumps, mulching the surface and firming the underneath soil to provide a smooth uniform seedbed. In this study, the common bean seed (var. Derakhshan and corn hybrid seed (SC-704 with 93 and 83 percent of germination and 97 and 98 percent of purity, respectively, were used. This machine was operated in five different distance patterns between corn and bean seeds on each row: 55 mm and 215 mm in the first pattern, 85 mm and 185 mm in the second pattern, 110 mm and 150 mm in the third pattern, 130 mm and 120 mm in the fourth pattern, and 160 mm and 100 mm in the fifth pattern for corn and bean, respectively. For all patterns, the depth of planting for corn and bean seeds was chosen as 20, 40, and 60 mm. In addition, the forward speed was assumed to be constant (4 km h-1. By using split plots with three replicates and SAS software (2002, the results were analyzed. Results and Discussion The multiple index, miss index, precision index, and quality of feed index was evaluated. The analysis of variance for bean planting unit showed that difference distance between seeds and various planting depth were significantly higher for multiple index (P 0.05. The precision index was significant was affected by different levels of seeds distance (P 0.05. Conclusions The data suggested a higher quality index once corn and bean were respectively plated at 160 and 215 mm seed distance with a planting depth of 60 mm being optimum for each corn and bean.

Chiang Mai and Illinois: A Cooperative International Project, 1962-70

Science.gov (United States)

Doege, Theodore C.; And Others

1976-01-01

A relationship between the medical schools of Chiang Mai University and the University of Illinois, part of a national involvement in Thailand's socioeconomic development, is analyzed. Antecedents, activities, outcomes, and problems are reviewed with emphasis on need for sound training, energy, adaptability, and investment of years. (JT)

Assistência aos pacientes com HIV/Aids no Brasil Health care to HIV/AIDS patients in Brazil

Directory of Open Access Journals (Sweden)

Margareth Crisóstomo Portela

2006-04-01

Full Text Available O trabalho teve por objetivo avaliar a assistência à população com Aids no Brasil e a capacidade do Sistema Único de Saúde (SUS de prover intervenções para enfrentamento da epidemia e discutir a sustentabilidade da iniciativa brasileira de distribuição universal e gratuita dos anti-retrovirais. O trabalho considerou dados originais de uma pesquisa sobre a capacidade potencial de distribuição de uma futura vacina anti-HIV no Brasil, envolvendo 119 entrevistados. Nas abordagens da assistência hospitalar e da assistência farmacêutica foram utilizados dados do Sistema de Informações Hospitalares do SUS e do Sistema de Controle Logístico de Medicamentos do Programa Nacional de DST/Aids. Os resultados mostraram bom desempenho da política de distribuição de anti-retrovirais. Entretanto, o acesso ao tratamento de doenças oportunistas foi deficitário. Os valores pagos pelo Sistema Único de Saúde pelas internações por Aids mantiveram-se muito baixos, com valor médio em torno de R$700,00, em 2004. A assistência a pacientes com HIV/Aids no Brasil tem sido tratada como um direito do cidadão, com o respaldo de uma articulação efetiva entre as esferas de governo e a sociedade civil. Os desafios que se colocam atualmente dizem respeito ao monitoramento mais fino dos processos e resultados obtidos e à sustentabilidade da distribuição universal e gratuita de anti-retrovirais.This study was intended to assess care provided to those living with HIV/AIDS in Brazil and the Brazilian Unified Health System (SUS capacity of delivering interventions to cope with the epidemic as well as to discuss the sustainability of the Brazilian initiative of providing universal free access to antiretrovirals (ARVs. Original data from a study comprising 119 respondents on the potential capacity of delivering a prospective HIV vaccine in Brazil was used. Inpatient and pharmaceutical care was based on data from the SUS Hospital Information System and

Bibliography, subject index, and author index of the literature examined by the Radiation Shielding Information Center (Reactor and Weapons Radiation Shielding). [1973--1976

Energy Technology Data Exchange (ETDEWEB)

1978-01-01

An indexed bibliography is presented of literature selected by the Radiation Shielding Information Center since the previous volume was published in 1974 in the area of radiation transport and shielding against radiation from nuclear reactors, x-ray machines, radioisotopes, nuclear weapons (including fallout), and low-energy accelerators (e.g., neutron generators). In addition to lists of literature titles by subject categories (accessions 3501-4950), author and keyword indexes are given. Most of the literature selected for Vol. V was published in the years 1973 to 1976.

STIGMA, SOCIAL SUPPORT, AND TREATMENT ADHERENCE AMONG HIV-POSITIVE PATIENTS IN CHIANG MAI, THAILAND

OpenAIRE

Li, Michael Jonathan; Murray, Jordan Keith; Suwanteerangkul, Jiraporn; Wiwatanadate, Phongtape

2014-01-01

Our study assessed the influence of HIV-related stigma on treatment adherence among people living with HIV in Chiang Mai, Thailand, and whether social support had a moderating effect on this relationship. We recruited 128 patients living with HIV from Sansai Hospital, a community hospital in Chiang Mai, Thailand, and collected data through structured interviews. All forms of HIV-related stigma considered in this study (personalized experience, disclosure, negative self-image, and public attit...

Machine-Learning Algorithms to Automate Morphological and Functional Assessments in 2D Echocardiography.

Science.gov (United States)

Narula, Sukrit; Shameer, Khader; Salem Omar, Alaa Mabrouk; Dudley, Joel T; Sengupta, Partho P

2016-11-29

Machine-learning models may aid cardiac phenotypic recognition by using features of cardiac tissue deformation. This study investigated the diagnostic value of a machine-learning framework that incorporates speckle-tracking echocardiographic data for automated discrimination of hypertrophic cardiomyopathy (HCM) from physiological hypertrophy seen in athletes (ATH). Expert-annotated speckle-tracking echocardiographic datasets obtained from 77 ATH and 62 HCM patients were used for developing an automated system. An ensemble machine-learning model with 3 different machine-learning algorithms (support vector machines, random forests, and artificial neural networks) was developed and a majority voting method was used for conclusive predictions with further K-fold cross-validation. Feature selection using an information gain (IG) algorithm revealed that volume was the best predictor for differentiating between HCM ands. ATH (IG = 0.24) followed by mid-left ventricular segmental (IG = 0.134) and average longitudinal strain (IG = 0.131). The ensemble machine-learning model showed increased sensitivity and specificity compared with early-to-late diastolic transmitral velocity ratio (p 13 mm. In this subgroup analysis, the automated model continued to show equal sensitivity, but increased specificity relative to early-to-late diastolic transmitral velocity ratio, e', and strain. Our results suggested that machine-learning algorithms can assist in the discrimination of physiological versus pathological patterns of hypertrophic remodeling. This effort represents a step toward the development of a real-time, machine-learning-based system for automated interpretation of echocardiographic images, which may help novice readers with limited experience. Copyright © 2016 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

Toward human-centered man-machine system in nuclear power plants

International Nuclear Information System (INIS)

Tanabe, Fumiya

1993-01-01

The Japanese LWR power plants are classified into 4 categories, from the viewpoints of the control panel in central control room and the extent of automation. Their characteristics are outlined. The potential weaknesses indwelt in the conventional approaches are discussed; that are the loss of applicability to the unanticipated facts and the loss of morale of the operators. The need for the construction of human-centered man-machine system is emphasized in order to overcome these potential weaknesses. The most important features required for the system are, in short term, to support operators in dificulties, and at the same time, in long term, to assure the acquisition and conservation of the personnels' morale and potential to cope with the problems. The concepts of the 'ecological interface' and 'adaptive aiding' system are introduced as the design concepts for the human-centered man-machine system. (J.P.N.)

MySQL based selection of appropriate indexing technique in ...

African Journals Online (AJOL)

This paper deals with selection of appropriate indexing technique applied on MySQL Database for a health care system and related performance issues using multiclass support vector machine (SVM). The patient database is generally huge and contains lot of variations. For the quick search or fast retrieval of the desired ...

Osteoporosis risk prediction for bone mineral density assessment of postmenopausal women using machine learning.

Science.gov (United States)

Yoo, Tae Keun; Kim, Sung Kean; Kim, Deok Won; Choi, Joon Yul; Lee, Wan Hyung; Oh, Ein; Park, Eun-Cheol

2013-11-01

A number of clinical decision tools for osteoporosis risk assessment have been developed to select postmenopausal women for the measurement of bone mineral density. We developed and validated machine learning models with the aim of more accurately identifying the risk of osteoporosis in postmenopausal women compared to the ability of conventional clinical decision tools. We collected medical records from Korean postmenopausal women based on the Korea National Health and Nutrition Examination Surveys. The training data set was used to construct models based on popular machine learning algorithms such as support vector machines (SVM), random forests, artificial neural networks (ANN), and logistic regression (LR) based on simple surveys. The machine learning models were compared to four conventional clinical decision tools: osteoporosis self-assessment tool (OST), osteoporosis risk assessment instrument (ORAI), simple calculated osteoporosis risk estimation (SCORE), and osteoporosis index of risk (OSIRIS). SVM had significantly better area under the curve (AUC) of the receiver operating characteristic than ANN, LR, OST, ORAI, SCORE, and OSIRIS for the training set. SVM predicted osteoporosis risk with an AUC of 0.827, accuracy of 76.7%, sensitivity of 77.8%, and specificity of 76.0% at total hip, femoral neck, or lumbar spine for the testing set. The significant factors selected by SVM were age, height, weight, body mass index, duration of menopause, duration of breast feeding, estrogen therapy, hyperlipidemia, hypertension, osteoarthritis, and diabetes mellitus. Considering various predictors associated with low bone density, the machine learning methods may be effective tools for identifying postmenopausal women at high risk for osteoporosis.

A novel root-index based prioritized random access scheme for 5G cellular networks

Directory of Open Access Journals (Sweden)

Taehoon Kim

2015-12-01

Full Text Available Cellular networks will play an important role in realizing the newly emerging Internet-of-Everything (IoE. One of the challenging issues is to support the quality of service (QoS during the access phase, while accommodating a massive number of machine nodes. In this paper, we show a new paradigm of multiple access priorities in random access (RA procedure and propose a novel root-index based prioritized random access (RIPRA scheme that implicitly embeds the access priority in the root index of the RA preambles. The performance evaluation shows that the proposed RIPRA scheme can successfully support differentiated performance for different access priority levels, even though there exist a massive number of machine nodes.

Parametric optimization for the production of nanostructure in high carbon steel chips via machining

Directory of Open Access Journals (Sweden)

M. Ilangkumaran

2015-09-01

Full Text Available Nano crystalline materials are an area of interest for the researchers all over the world due to its superior mechanical properties such as high strength and high hardness. But the cost of nano-crystals is high because of the complexity and cost incurred during its production. This paper focuses on the application of Taguchi method with Fuzzy logic for optimizing the machining parameters of nano-crystalline structured chips production in High Carbon Steel (HCS through machining. An orthogonal array, multi-response performance index, signals to noise ratio and analysis of variance are used to study the machining process with multi-response performance characteristics. The machining parameters namely rake angle, depth of cut, heat treatment, feed and cutting velocity are optimized with considerations of the multi-response performance characteristics. Using the Taguchi and Fuzzy logic method optimum cutting conditions are identified in order to obtain the smallest nanocrystalline structure via machining.

Fifty years of computer analysis in chest imaging: rule-based, machine learning, deep learning.

Science.gov (United States)

van Ginneken, Bram

2017-03-01

Half a century ago, the term "computer-aided diagnosis" (CAD) was introduced in the scientific literature. Pulmonary imaging, with chest radiography and computed tomography, has always been one of the focus areas in this field. In this study, I describe how machine learning became the dominant technology for tackling CAD in the lungs, generally producing better results than do classical rule-based approaches, and how the field is now rapidly changing: in the last few years, we have seen how even better results can be obtained with deep learning. The key differences among rule-based processing, machine learning, and deep learning are summarized and illustrated for various applications of CAD in the chest.

Computer aided process planning at the Oak Ridge Y-12 plant: a pilot project

International Nuclear Information System (INIS)

Hewgley, R.E. Jr.; Prewett, H.P. Jr.

1979-01-01

In 1976, a formal needs analysis was conducted in one of the Fabrication Division Shops of all activities from the receipt of an order through final machining. The results indicated deficiencies in process planning activities involving special production work. A pilot program was organized to investigate the benefits of emerging CAM technology and application of GT concepts for machining operations at the Y-12 Plant. The objective of the CAPP Project was to provide computer-assisted process planning for special production machining in th shop. The CAPP team was charged with the specific goal of demonstrating computer-aided process planning within a four-year term. The CAPP charter included a plan with intermediate measurable milestones for achieving its mission. In three years, the CAPP project demonstrated benefits to process planning. A capability to retrieve historical records for similar parts, to review accurately the status of all staff assignments, and to generate detailed machining procedures definitely can impact the way in which a machine shop prepared for new orders. The real payoff is in the hardcopy output (N/C programs, studies, sequence plans, and procedures). 4 figures,

PREZICEREA PERFORMANŢELOR STUDENŢILOR FOLOSIND ÎNVĂŢAREA AUTOMATĂ (Machine Learning)

OpenAIRE

Maria CRISTEI; Ghenadie MARIN; Victor STELEA

2017-01-01

În prezent, învăţarea automată (machine learning) ocupă un loc important în inteligenţa artificială, preocupându-se de dezvoltarea algoritmilor ce permit unui sistem informatic să înveţe date, reguli şi algoritmi. Învăţarea automată pre­supune în primul rând identificarea şi implementarea unei modalităţi cât mai eficiente de reprezentare a informaţiilor, în sensul facilitării căutării, reorganizării şi modificării acestora. În acest sens, în prezentul articol se descrie utilitatea şi aplicabi...

[Hygienic assessment of student's nutrition through vending machines (fast food)].

Science.gov (United States)

Karelin, A O; Pavlova, D V; Babalyan, A V

2015-01-01

The article presents the results of a research work on studying the nutrition of students through vending machines (fast food), taking into account consumer priorities of students of medical University, the features and possible consequences of their use by students. The object of study was assortment of products sold through vending machines on the territory of the First Saint-Petersburg Medical University. Net calories, content of proteins, fats and carbohydrates, glycemic index, glycemic load were determined for each product. Information about the use of vending machines was obtained by questionnaires of students 2 and 4 courses of medical and dental faculties by standardized interview method. As was found, most sold through vending machines products has a high energy value, mainly due to refined carbohydrates, and was characterized by medium and high glycemic load. They have got low protein content. Most of the students (87.3%) take some products from the vending machines, mainly because of lack of time for canteen and buffets visiting. Only 4.2% students like assortment of vending machines. More than 50% students have got gastrointestinal complaints. Statistically significant relationship between time of study at the University and morbidity of gastrointestinal tract, as well as the number of students needing medical diet nutrition was found. The students who need the medical diet use fast food significantly more often (46.6% who need the medical diet and 37.7% who don't need it).

Application of Machine Learning to Proteomics Data: Classification and Biomarker Identification in Postgenomics Biology

Science.gov (United States)

Swan, Anna Louise; Mobasheri, Ali; Allaway, David; Liddell, Susan

2013-01-01

Abstract Mass spectrometry is an analytical technique for the characterization of biological samples and is increasingly used in omics studies because of its targeted, nontargeted, and high throughput abilities. However, due to the large datasets generated, it requires informatics approaches such as machine learning techniques to analyze and interpret relevant data. Machine learning can be applied to MS-derived proteomics data in two ways. First, directly to mass spectral peaks and second, to proteins identified by sequence database searching, although relative protein quantification is required for the latter. Machine learning has been applied to mass spectrometry data from different biological disciplines, particularly for various cancers. The aims of such investigations have been to identify biomarkers and to aid in diagnosis, prognosis, and treatment of specific diseases. This review describes how machine learning has been applied to proteomics tandem mass spectrometry data. This includes how it can be used to identify proteins suitable for use as biomarkers of disease and for classification of samples into disease or treatment groups, which may be applicable for diagnostics. It also includes the challenges faced by such investigations, such as prediction of proteins present, protein quantification, planning for the use of machine learning, and small sample sizes. PMID:24116388

Basic researches for advancement of man-machine systems

International Nuclear Information System (INIS)

Yoshikawa, Hidekazu

1994-01-01

The historical development of plant instrumentation and control system accompanying the introduction of automation is shown by the example of nuclear power plants. It is explained, and the change in the role of operators in the man-machine system is mentioned. Human errors are the serious problem in various fields, and automation resolves it. But complex systems also caused various disasters due to the relation of men and machines. The problem of human factors in high risk system automation is considered as the heightening of reliability and the reduction of burden on workers by decreasing human participation, and the increase of the risk of large accidents due to the lowering of reliability of human elements and the strengthening of the training of workers. Human model and the framework of human error analysis, the development of the system for man-machine system design and information analysis and evaluation, the significance of physiological index measurement and the perspective of the application, the analysis of the behavior of subjects in the abnormality diagnosis experiment using a plant simulator, and the development to the research on mutual adaptation interface are discussed. In this paper, the problem of human factors in system safety, that technical advancement brings about is examined, and the basic research on the advancement of man-machine systems by the author is reported. (K.I.)

FY 1991 Research and development project for large-scale industrial technologies. Report on results of R and D of superhigh technological machining systems; 1991 nendo chosentan kako system no kenkyu kaihatsu seika hokokusho. Chosentan kako system no kenkyu kaihatsu

Energy Technology Data Exchange (ETDEWEB)

NONE

1992-03-01

Described herein are the FY 1991 results of the R and D project aimed at establishment of superprecision machining technologies for developing machining technologies and nano-technologies aided by excited beams. The researches on the superprecision machining technologies involve design and development, on a trial basis, of the totally static pressure type positioning device, for which automatically controlling drawing is adopted to improve its rigidity. The researches on the surface modification technologies aided by ion beams involve scanning the ion beams onto the metallic plate to be provided around the glass substrate. The results indicate that the secondary electrons generated can be used to control charge-up. In addition, part of a 30cm square glass substrate is modified by implantation of the spot type ions of high current density, and the modified portion is used to produce a thin-film silicon transistor. The researches on superhigh-technological machining standard measurement involve improvement of precision of the system aided by a dye laser, which attains a precision of 0 to 30nm in a 0.1m measurement range. (NEDO)

Machining of high performance workpiece materials with CBN coated cutting tools

International Nuclear Information System (INIS)

Uhlmann, E.; Fuentes, J.A. Oyanedel; Keunecke, M.

2009-01-01

The machining of high performance workpiece materials requires significantly harder cutting materials. In hard machining, the early tool wear occurs due to high process forces and temperatures. The hardest known material is the diamond, but steel materials cannot be machined with diamond tools because of the reactivity of iron with carbon. Cubic boron nitride (cBN) is the second hardest of all known materials. The supply of such PcBN indexable inserts, which are only geometrically simple and available, requires several work procedures and is cost-intensive. The development of a cBN coating for cutting tools, combine the advantages of a thin film system and of cBN. Flexible cemented carbide tools, in respect to the geometry can be coated. The cBN films with a thickness of up to 2 μm on cemented carbide substrates show excellent mechanical and physical properties. This paper describes the results of the machining of various workpiece materials in turning and milling operations regarding the tool life, resultant cutting force components and workpiece surface roughness. In turning tests of Inconel 718 and milling tests of chrome steel the high potential of cBN coatings for dry machining was proven. The results of the experiments were compared with common used tool coatings for the hard machining. Additionally, the wear mechanisms adhesion, abrasion, surface fatigue and tribo-oxidation were researched in model wear experiments.

Prevalence of dementia among population age over 45 years in Chiang Mai, Thailand.

Science.gov (United States)

Wangtongkum, Suparus; Sucharitkul, Phongsakorn; Silprasert, Nutcharut; Inthrachak, Rudeethawinl

2008-11-01

To determine the prevalence of dementia in Thai people with age 45 years and above. This project used a cross sectional research design to study the prevalence of dementia in Chiang Mai. Door-to-door technique was assigned in condition with multi-stage probability random sampling to obtain subjects representing the population of Chiang Mai between Oct 2004 and Sep 2005. The researchers collected the data from the subjects aged 45 years and above. All subjects were located from every Amphurs of Chiang Mai. They were first screened with Thai Mini Mental State Examination (TMSE) and Thai Beck Depression Inventory (BDI). The subjects whose TMSE was less than 24 were assessed and diagnosed by a neurologist. Subjects who were determined as having dementia might be laboratory analyzed and classified based on DSM-IV and NINDS-AIREN criteria. The authors enrolled 2,311 people and screened them with Batteries test. One thousand four hundred ninety two people qualified with 610 males and 882 females, whose mean age was 59.7 +/- 10.4 years. The authors found that among the 35 people with dementia, the mean age was 67.9 +/- 8.9 years (45-88 years). The prevalence of dementia among the study participants was 2.35%. In the present study, Alzheimer's disease was the most common type of dementia diagnosed (75.0%) and vascular dementia was the second most commonly diagnosed (12.5%). The prevalence of dementia in Chiang Mai was 2.35%, which does not differ from the previous study Alzheimer's disease was the most common type of dementia diagnosed.

Computer-Aided Parallelizer and Optimizer

Science.gov (United States)

Jin, Haoqiang

2011-01-01

The Computer-Aided Parallelizer and Optimizer (CAPO) automates the insertion of compiler directives (see figure) to facilitate parallel processing on Shared Memory Parallel (SMP) machines. While CAPO currently is integrated seamlessly into CAPTools (developed at the University of Greenwich, now marketed as ParaWise), CAPO was independently developed at Ames Research Center as one of the components for the Legacy Code Modernization (LCM) project. The current version takes serial FORTRAN programs, performs interprocedural data dependence analysis, and generates OpenMP directives. Due to the widely supported OpenMP standard, the generated OpenMP codes have the potential to run on a wide range of SMP machines. CAPO relies on accurate interprocedural data dependence information currently provided by CAPTools. Compiler directives are generated through identification of parallel loops in the outermost level, construction of parallel regions around parallel loops and optimization of parallel regions, and insertion of directives with automatic identification of private, reduction, induction, and shared variables. Attempts also have been made to identify potential pipeline parallelism (implemented with point-to-point synchronization). Although directives are generated automatically, user interaction with the tool is still important for producing good parallel codes. A comprehensive graphical user interface is included for users to interact with the parallelization process.

Machine terms dictionary

Energy Technology Data Exchange (ETDEWEB)

NONE

1979-04-15

This book gives descriptions of machine terms which includes machine design, drawing, the method of machine, machine tools, machine materials, automobile, measuring and controlling, electricity, basic of electron, information technology, quality assurance, Auto CAD and FA terms and important formula of mechanical engineering.

Traditional beliefs about pregnancy and child birth among women from Chiang Mai, Northern Thailand.

Science.gov (United States)

Liamputtong, Pranee; Yimyam, Susanha; Parisunyakul, Sukanya; Baosoung, Chavee; Sansiriphun, Nantaporn

2005-06-01

To examine women's embodied knowledge of pregnancy and birth, women's explanations of precautions during pregnancy and birth and preparations for easy birth and the role of a traditional midwife in a Thai birthing care. In-depth interviews relating to traditional and changed beliefs and practices of pregnancy and childbirth with Thai women in Northern Thailand. Chiang Mai city and Mae On sub-district in Chiang Mai province, Northern Thailand. 30 Thai women living in Chiang Mai in Thailand. The social meaning of childbirth in Thai culture is part of the larger social system, which involves the woman, her family, the community, society and the supernatural world. Traditional beliefs and practices in Thai culture clearly aim to preserve the life and well-being of a new mother and her baby. It seems that traditional childbirth practices have not totally disappeared in northern Thailand, but have gradually diminished. Women's social backgrounds influence traditional beliefs and practices. The traditions are followed by most rural and some urban poor women in Chiang Mai. The findings of this study may assist health professionals to better understand women from different cultures. It is important to recognise many factors discussed in this paper within the context of Thai lives and traditions. This will prevent misunderstanding and, consequently, encourage more sensitive pregnancy and birthing care for pregnant women.

An International Menopause Society study of vasomotor symptoms in Bangkok and Chiang Mai, Thailand.

Science.gov (United States)

Sriprasert, I; Pantasri, T; Piyamongkol, W; Suwan, A; Chaikittisilpa, S; Sturdee, D; Gupta, P; Hunter, M S

2017-04-01

To examine relationships between location, demographics, lifestyle, beliefs, and experience of hot flushes and night sweats (HFNS) amongst women living in two cities in Thailand. Cross-sectional study of peri- and postmenopausal women, aged 45-55 years, from Bangkok and Chiang Mai. Participants completed questionnaires (demographics, health, HFNS (prevalence, frequency and problem-rating) and beliefs about menopause). A sub-sample of women from each location was interviewed. A total of 632 women (320 Bangkok and 312 Chiang Mai) aged 50.88 (standard deviation 3.06) years, took part. The prevalence of HFNS was 65%, average HFNS frequency 8.7 (10.8) per week and problem rating 4.3/10. Women from Chiang Mai had significantly more problematic HFNS, but prevalence and frequency were similar in both sites. Poor general health predicted HFNS prevalence and frequency, while Chiang Mai location, HFNS frequency, age, diet and beliefs about menopause were associated with problematic HFNS. Location remained significant after controlling for education, occupation and age; location was partially explained by beliefs. Qualitative interview responses illustrated the differences in beliefs about menopause between locations. HFNS reports are prevalent with moderate frequency and problem-ratings in these urban centers in Thailand. The results will be included in the broader International Menopause Society study of Climate, Altitude and Temperature (IMS-CAT) of the impact of climate on HFNS.

ECONOMICS DEPARTMENT PUBLICATIONS, 1960-1965: AN AUTHOR INDEX OF THE OPEN LITERATURE, WITH ABSTRACTS,

Science.gov (United States)

This is an author index for RAND Economics Department publications issued between January 1, 1960 and December 31, 1965, and available in the open...As a reference aid, the names of all authors are given alphabetically in the Author List immediately preceding the Author Index .

Measuring and tracking the flow of climate change adaptation aid to the developing world

Science.gov (United States)

Donner, Simon D.; Kandlikar, Milind; Webber, Sophie

2016-05-01

The developed world has pledged to mobilize at least US 100 billion per year of ‘new’ and ‘additional’ funds by 2020 to help the developing world respond to climate change. Tracking this finance is particularly problematic for climate change adaptation, as there is no clear definition of what separates adaptation aid from standard development aid. Here we use a historical database of overseas development assistance projects to test the effect of different accounting assumptions on the delivery of adaptation finance to the developing countries of Oceania, using machine algorithms developed from a manual pilot study. The results show that explicit adaptation finance grew to 3%-4% of all development aid to Oceania by the 2008-2012 period, but that total adaptation finance could be as high as 37% of all aid, depending on potentially politically motivated assumptions about what counts as adaptation. There was also an uneven distribution of adaptation aid between countries facing similar challenges like Kiribati, the Marshall Islands, and the Federated States of Micronesia. The analysis indicates that data allowing individual projects to be weighted by their climate change relevance is needed. A robust and mandatory metadata system for all aid projects would allow multilateral aid agencies and independent third parties to perform their own analyses using different assumptions and definitions, and serve as a key check on international climate aid promises.

HIV/Aids e violência: da opressão que cala à participação que acolhe e potencializa HIV/AIDS and violence: from the oppression that silences to the participation that welcomes and empowers

Directory of Open Access Journals (Sweden)

Josicleide Maciel da Silva

2011-09-01

Full Text Available Este estudo exploratório e descritivo visou investigar a aproximação entre violência e vulnerabilidade à infecção ao HIV/Aids, especificamente a contribuição de ONGs/Aids no enfrentamento de situações de violência sofridas por pessoas que vivem com o HIV/Aids (PVHA no decorrer de suas vidas, destacando formas distintas de violência, dentre elas o abuso sexual. Consideramos que vivências de várias formas e graus de violência na infância e adolescência tornam as pessoas mais vulneráveis à infecção a DST/HIV/Aids, principalmente as pessoas que vivem situações de exclusão social. Além disso, é necessário que existam redes de suporte psicossociais mais fortalecidas e preparadas para atender as demandas das pessoas que vivem com o HIV/Aids (PVHA. Foram realizadas entrevistas semidirigidas com profissionais de uma entidade e entrevistas em profundidade com jovens, além da realização de observação participante. Os resultados indicaram que a história de vida das PVHA, permeada pela violência, traz marcas indeléveis, principalmente pelo esfacelamento de laços familiares e comunitários, difíceis de serem refeitos, tendo o abuso sexual aparecido nos relatos como consequência insofismável de um contexto marcado por diversas formas de opressão social. Por sua vez, a participação em uma ONG/Aids proporcionou um espaço para a elaboração de aspectos da violência sofrida na medida em que o acolhimento possibilitou a troca de experiências entre seus pares e o diálogo com profissionais e voluntários. Dessa forma, em um espaço que pretende a politização da doença, o silêncio, o terror e o isolamento social podem ser substituídos por experiências referenciadas pela autonomia, dignidade e cidadania.This exploratory and descriptive study aimed at investigating the relation between violence and vulnerability to HIV-AIDS infection, specifically, how NGOs/AIDS help individuals infected with HIV-AIDS face situations

Design Procedure for High-Speed PM Motors Aided by Optimization Algorithms

Directory of Open Access Journals (Sweden)

Francesco Cupertino

2018-02-01

Full Text Available This paper considers the electromagnetic and structural co-design of superficial permanent magnet synchronous machines for high-speed applications, with the aid of a Pareto optimization procedure. The aim of this work is to present a design procedure for the afore-mentioned machines that relies on the combined used of optimization algorithms and finite element analysis. The proposed approach allows easy analysis of the results and a lowering of the computational burden. The proposed design method is presented through a practical example starting from the specifications of an aeronautical actuator. The design procedure is based on static finite element simulations for electromagnetic analysis and on analytical formulas for structural design. The final results are validated through detailed transient finite element analysis to verify both electromagnetic and structural performance. The step-by-step presentation of the proposed design methodology allows the reader to easily adapt it to different specifications. Finally, a comparison between a distributed-winding (24 slots and a concentrated-winding (6 slots machine is presented demonstrating the advantages of the former winding arrangement for high-speed applications.

Improving method for calculating integral index of personnel security of company

Directory of Open Access Journals (Sweden)

Chjan Khao Yui

2016-06-01

Full Text Available The paper improves the method of calculating the integral index of personnel security of a company. The author has identified four components of personnel security (social and motivational safety, occupational safety, not confliction security, life safety which are characterized by certain indicators. Integral index of personnel security is designed for the enterprises of machine-building sector in Kharkov region, taking into account theweight coefficients j-th component of bj, and weighting factors that determine the degree of contribution of the ith parameter in the integral index aіj as defined by experts.

Man-machine communication in reactor control using AI methods

International Nuclear Information System (INIS)

Klebau, J.; Lindner, A.; Fiedler, U.

1987-01-01

In the last years the interest in process control has expecially focused on problems of man-machine communication. It depends on its great importance to process performance and user acceptance. Advanced computerized operator aids, e.g. in nuclear power plants, are as well as their man-machine interface. In the Central Institute for Nuclear Research in Rossendorf a computerized operator support system for nuclear power plants is designed, which is involved in a decentralized process automation system. A similar but simpler system, the Hierarchical Informational System (HIS) at the Rossendorf Research Reactor, works with a computer controlled man-machine interface, based on menu. In the special case of the disturbance analysis program SAAP-2, which is included in the HIS, the limits of menu techniques are obviously. Therefore it seems to be necessary and with extended hard- and software possible to realize an user controlled natural language interface using Artificial Intelligence (AI) methods. The draft of such a system is described. It should be able to learn during a teaching phase all phrases and their meanings. The system will work on the basis of a self-organizing, associative data structure. It is used to recognize a great amount of words which are used in language analysis. Error recognition and, if possible, correction is done by means of a distance function in the word set. Language analysis should be carried out with a simplified word class controlled functional analysis. With this interface it is supposed to get experience in intelligent man-machine communication to enhance operational safety in future. (author)

Some relations between quantum Turing machines and Turing machines

OpenAIRE

Sicard, Andrés; Vélez, Mario

1999-01-01

For quantum Turing machines we present three elements: Its components, its time evolution operator and its local transition function. The components are related with the components of deterministic Turing machines, the time evolution operator is related with the evolution of reversible Turing machines and the local transition function is related with the transition function of probabilistic and reversible Turing machines.

Quality assurance: using the exposure index and the deviation index to monitor radiation exposure for portable chest radiographs in neonates

Energy Technology Data Exchange (ETDEWEB)

Cohen, Mervyn D. [Indiana University School of Medicine, Department of Radiology, Riley Children' s Hospital, Indianapolis, IN (United States); Riley Hospital for Children, Department of Radiology, Indianapolis, IN (United States); Cooper, Matt L.; Piersall, Kelly [Indiana University School of Medicine, Department of Radiology, Riley Children' s Hospital, Indianapolis, IN (United States); Apgar, Bruce K. [Agfa HealthCare Corporation, Greenville, SC (United States)

2011-05-15

Many methods are used to track patient exposure during acquisition of plain film radiographs. A uniform international standard would aid this process. To evaluate and describe a new, simple quality-assurance method for monitoring patient exposure. This method uses the ''exposure index'' and the ''deviation index,'' recently developed by the International Electrotechnical Commission (IEC) and American Association of Physicists in Medicine (AAPM). The deviation index measures variation from an ideal target exposure index value. Our objective was to determine whether the exposure index and the deviation index can be used to monitor and control exposure drift over time. Our Agfa workstation automatically keeps a record of the exposure index for every patient. The exposure index and deviation index were calculated on 1,884 consecutive neonatal chest images. Exposure of a neonatal chest phantom was performed as a control. Acquisition of the exposure index and calculation of the deviation index was easily achieved. The weekly mean exposure index of the phantom and the patients was stable and showed <10% change during the study, indicating no exposure drift during the study period. The exposure index is an excellent tool to monitor the consistency of patient exposures. It does not indicate the exposure value used, but is an index to track compliance with a pre-determined target exposure. (orig.)

Quality assurance: using the exposure index and the deviation index to monitor radiation exposure for portable chest radiographs in neonates

International Nuclear Information System (INIS)

Cohen, Mervyn D.; Cooper, Matt L.; Piersall, Kelly; Apgar, Bruce K.

2011-01-01

Many methods are used to track patient exposure during acquisition of plain film radiographs. A uniform international standard would aid this process. To evaluate and describe a new, simple quality-assurance method for monitoring patient exposure. This method uses the ''exposure index'' and the ''deviation index,'' recently developed by the International Electrotechnical Commission (IEC) and American Association of Physicists in Medicine (AAPM). The deviation index measures variation from an ideal target exposure index value. Our objective was to determine whether the exposure index and the deviation index can be used to monitor and control exposure drift over time. Our Agfa workstation automatically keeps a record of the exposure index for every patient. The exposure index and deviation index were calculated on 1,884 consecutive neonatal chest images. Exposure of a neonatal chest phantom was performed as a control. Acquisition of the exposure index and calculation of the deviation index was easily achieved. The weekly mean exposure index of the phantom and the patients was stable and showed <10% change during the study, indicating no exposure drift during the study period. The exposure index is an excellent tool to monitor the consistency of patient exposures. It does not indicate the exposure value used, but is an index to track compliance with a pre-determined target exposure. (orig.)

Geographical Index of Thailand

Science.gov (United States)

1965-11-29

Thanonthongchai Range. This mountain range passes through the following adminis- trative areas in Chiang Mai Province: 1. It passes through the townships...down to the Ping River until it reaches the Daenlaw Range which is the boundary between Maehongson Province and Chiang Mai Province (eight...trict, Chiang Mai Province for 5M- kilometers. 10. It passes through Omkoi Township, Omkoi District; Boluang Township, Hot District; Thapha Township

Machine learning-enabled discovery and design of membrane-active peptides.

Science.gov (United States)

Lee, Ernest Y; Wong, Gerard C L; Ferguson, Andrew L

2017-07-08

Antimicrobial peptides are a class of membrane-active peptides that form a critical component of innate host immunity and possess a diversity of sequence and structure. Machine learning approaches have been profitably employed to efficiently screen sequence space and guide experiment towards promising candidates with high putative activity. In this mini-review, we provide an introduction to antimicrobial peptides and summarize recent advances in machine learning-enabled antimicrobial peptide discovery and design with a focus on a recent work Lee et al. Proc. Natl. Acad. Sci. USA 2016;113(48):13588-13593. This study reports the development of a support vector machine classifier to aid in the design of membrane active peptides. We use this model to discover membrane activity as a multiplexed function in diverse peptide families and provide interpretable understanding of the physicochemical properties and mechanisms governing membrane activity. Experimental validation of the classifier reveals it to have learned membrane activity as a unifying signature of antimicrobial peptides with diverse modes of action. Some of the discriminating rules by which it performs classification are in line with existing "human learned" understanding, but it also unveils new previously unknown determinants and multidimensional couplings governing membrane activity. Integrating machine learning with targeted experimentation can guide both antimicrobial peptide discovery and design and new understanding of the properties and mechanisms underpinning their modes of action. Copyright © 2017 Elsevier Ltd. All rights reserved.

Data Mining and Machine Learning Methods for Dementia Research.

Science.gov (United States)

Li, Rui

2018-01-01

Patient data in clinical research often includes large amounts of structured information, such as neuroimaging data, neuropsychological test results, and demographic variables. Given the various sources of information, we can develop computerized methods that can be a great help to clinicians to discover hidden patterns in the data. The computerized methods often employ data mining and machine learning algorithms, lending themselves as the computer-aided diagnosis (CAD) tool that assists clinicians in making diagnostic decisions. In this chapter, we review state-of-the-art methods used in dementia research, and briefly introduce some recently proposed algorithms subsequently.

Pronto atendimento a usuários de dispositivos de amplificação sonora Emergency care to users of hearing aids

Directory of Open Access Journals (Sweden)

Tiago de Melo Araujo

2011-12-01

Full Text Available OBJETIVO: Estabelecer características demográficas e audiológicas de sujeitos usuários de aparelhos de amplificação sonora individuais (AASI que solicitaram retorno em um Serviço de Saúde Auditiva e identificar e analisar os motivos do retorno e condutas geradas durante o Pronto Atendimento (PA. MÉTODOS: Os participantes foram 440 sujeitos de idade superior a três anos, com diagnóstico e concessão do AASI no serviço onde foi realizada a pesquisa. Características demográficas, audiológicas e referentes ao uso do AASI foram coletadas em prontuários e ficha específica para o PA. Os dados obtidos foram analisados por meio de estatística descritiva e inferencial. RESULTADOS: O grupo estudado foi caracterizado, em sua maioria, por indivíduos do gênero feminino, idosos, grau de escolaridade no ensino fundamental incompleto, perda auditiva de grau moderado e perda auditiva do tipo neurossensorial bilateral. Quanto ao uso do AASI, a maioria dos sujeitos utilizava aparelho do tipo retroauricular com adaptação binaural. Quanto ao tempo de uso, mais de 70% utilizava o AASI pela primeira vez, 38% o fazia por um período de até 12 meses, e mais de 65% por um período maior que oito horas diárias. As condutas ajuste do AASI e orientação foram mais frequentes para sujeitos com menor tempo de uso do aparelho, enquanto as condutas assistência técnica e reposição, foram mais comuns para os sujeitos com maior tempo de uso. CONCLUSÃO: Conhecer características de pacientes usuários de AASI, assim como os motivos do retorno e condutas geradas, contribui para melhor organização e qualidade do serviço prestado.PURPOSE: To establish the demographic and audiological characteristics of subjects users of hearing aids (HA that requested a return at a Hearing Health Service, and to identify and analyze the reasons for the return and conducts generated during the Emergency Care (EC. METHODS: Participants were 440 subjects older than three

Support vector machine in machine condition monitoring and fault diagnosis

Science.gov (United States)

Widodo, Achmad; Yang, Bo-Suk

2007-08-01

Recently, the issue of machine condition monitoring and fault diagnosis as a part of maintenance system became global due to the potential advantages to be gained from reduced maintenance costs, improved productivity and increased machine availability. This paper presents a survey of machine condition monitoring and fault diagnosis using support vector machine (SVM). It attempts to summarize and review the recent research and developments of SVM in machine condition monitoring and diagnosis. Numerous methods have been developed based on intelligent systems such as artificial neural network, fuzzy expert system, condition-based reasoning, random forest, etc. However, the use of SVM for machine condition monitoring and fault diagnosis is still rare. SVM has excellent performance in generalization so it can produce high accuracy in classification for machine condition monitoring and diagnosis. Until 2006, the use of SVM in machine condition monitoring and fault diagnosis is tending to develop towards expertise orientation and problem-oriented domain. Finally, the ability to continually change and obtain a novel idea for machine condition monitoring and fault diagnosis using SVM will be future works.

Influence of different luting protocols on shear bond strength of computer aided design/computer aided manufacturing resin nanoceramic material to dentin.

Science.gov (United States)

Poggio, Claudio; Pigozzo, Marco; Ceci, Matteo; Scribante, Andrea; Beltrami, Riccardo; Chiesa, Marco

2016-01-01

The purpose of this study was to evaluate the influence of three different luting protocols on shear bond strength of computer aided design/computer aided manufacturing (CAD/CAM) resin nanoceramic (RNC) material to dentin. In this in vitro study, 30 disks were milled from RNC blocks (Lava Ultimate/3M ESPE) with CAD/CAM technology. The disks were subsequently cemented to the exposed dentin of 30 recently extracted bovine permanent mandibular incisors. The specimens were randomly assigned into 3 groups of 10 teeth each. In Group 1, disks were cemented using a total-etch protocol (Scotchbond™ Universal Etchant phosphoric acid + Scotchbond Universal Adhesive + RelyX™ Ultimate conventional resin cement); in Group 2, disks were cemented using a self-etch protocol (Scotchbond Universal Adhesive + RelyX™ Ultimate conventional resin cement); in Group 3, disks were cemented using a self-adhesive protocol (RelyX™ Unicem 2 Automix self-adhesive resin cement). All cemented specimens were placed in a universal testing machine (Instron Universal Testing Machine 3343) and submitted to a shear bond strength test to check the strength of adhesion between the two substrates, dentin, and RNC disks. Specimens were stressed at a crosshead speed of 1 mm/min. Data were analyzed with analysis of variance and post-hoc Tukey's test at a level of significance of 0.05. Post-hoc Tukey testing showed that the highest shear strength values (P adhesives) showed better shear strength values compared to self-adhesive resin cements. Furthermore, conventional resin cements used together with a self-etch adhesive reported the highest values of adhesion.

Second hip fractures at Chiang Mai University Hospital.

Science.gov (United States)

Wongtriratanachai, Prasit; Chiewchantanakit, Siripong; Vaseenon, Tanawat; Rojanasthien, Sattaya; Leerapun, Taninnit

2015-02-01

Hip fractures are a major public health problem. Patients who have suffered a hip fracture have an increased risk of a subsequent hip fracture. This study examines the incidence ofsecondhip fractures and attempts to identify underlying risk factors. To examine the incidence ofsecond hip fractures in osteoporotic patients at Chiang Mai University Hospital and to identify risk factors related to second hip fractures. A retrospective review was conducted of all low-energy mechanism hip fracture patients admitted during 2008 and 2009. Analysis of second hip fractures was conducted using survival analysis and logistic regression analysis. A total of 191 patients were observed for 391.68 person-years (mean 2.05 person-years per patient). Among that group, nine second hip fractures were identified, an overall incidence rate of 0.023 second fractures per person-year. Second hip fractures tended to occur within the first year following an initial hip fracture. There were no significant differences related to either gender or comorbid medical conditions. Logistic regression analysis revealed that increased risk of a second hip fracture was associated with age (highest between 80 to 89 years) and patients who were not treated for osteoporosis following their initial fracture. The incidence of second hip fractures at Chiang Mai University Hospital was 0.023 per person-year Careful follow-up of older patients, especially those over 80, and treatment ofosteoporosis with bisphosphonate plus vitamin D and calcium supplements was correlated with a reduction in the incidence of second hip fractures.

Design, Construction and Evaluation of a Row Crop Thinning Machine

Directory of Open Access Journals (Sweden)

M Gol Mohammadi

2014-04-01

Full Text Available Equipment availability is necessary in the development of Agriculture mechanization. Crop thinning is one of the most important stages in row crop production which is laborious and costly. The objective of this project is design and construction of a row crop thinning machine. Four main system units are plant sensors, ground sensors, control and thinning platforms. In this machine the unwanted plants on the rows are randomly removed by employing a pneumatically system. A blade on a vertical arm with pendulum motion removes the plant from the rows. The machine control system consists of an arm and a blade which is activated by a double acting cylinder and equipped with a relay and a timer. The pneumatic cylinder is controlled via a solenoid valve. Laboratory tests were conducted to validate the machine performance. Some other preliminary tests also were performed for optimization of parameters such as cinematic index and cutting length of blades. The laboratory tests (totally 9 tests were performed with a constant forward speed and three levels of plant density, using artificial plants. The data were analyzed using SPSS software. The results show that satisfactory performance of the machine is achieved when the plant density is moderate i.e. the thinning performance reduces with higher plant distance in the row. The other effective variable on machine performance is the adjustment of sensor sensitivity, which is used to distinguish between week and strong plants. In general the machine performance is sensitive to plant shape and morphology, plant distribution pattern in the field, growing stage of the plants, time of thinning and the effectiveness of previous weeding operations

Alimentos mais consumidos no Brasil: Inquérito Nacional de Alimentação 2008-2009

Directory of Open Access Journals (Sweden)

Amanda de M. Souza

2013-02-01

Full Text Available OBJETIVO: Caracterizar o consumo alimentar mais frequente da população brasileira. MÉTODOS: Foram analisados dados referentes ao primeiro dia de registro alimentar de 34.003 indivíduos com dez anos ou mais de idade que responderam ao Inquérito Nacional de Alimentação, composto por amostra probabilística da Pesquisa de Orçamentos Familiares 2008-2009. O padrão de consumo foi analisado segundo sexo, grupo etário, região e faixa de renda familiar per capita. RESULTADOS: Os alimentos mais frequentemente referidos pela população brasileira foram arroz (84,0%, café (79,0%, feijão (72,8%, pão de sal (63,0% e carne bovina (48,7%, destacando-se também o consumo de sucos e refrescos (39,8%, refrigerantes (23,0% e menor presença de frutas (16,0% e hortaliças (16,0%. Essa configuração apresenta pouca variação quando se consideram os estratos de sexo e faixa etária; contudo, observa-se que os adolescentes foram o único grupo etário que deixou de citar qualquer hortaliça e que incluiu doces, bebida láctea e biscoitos doces entre os itens mais consumidos. Alimentos marcadamente de consumo regional incluem a farinha de mandioca no Norte e Nordeste e o chá na região Sul. Houve discrepâncias no consumo alimentar entre os estratos de menor e maior renda: indivíduos no quarto de renda mais elevada referiram sanduíches, tomate e alface e aqueles no primeiro quarto de renda citaram os peixes e preparações à base de peixe e farinha de mandioca entre os alimentos mais referidos. CONCLUSÕES: Existe um padrão básico do consumo alimentar no Brasil que inclui entre os alimentos mais consumidos arroz, café, feijão, pão de sal e carne bovina, associado ao consumo regional de alguns poucos itens. Particularmente entre os adolescentes, alimentos ricos em gordura e açúcar são também de consumo frequente.

An Interactive Human Interface Arm Robot with the Development of Food Aid

Directory of Open Access Journals (Sweden)

NASHWAN D. Zaki

2012-03-01

Full Text Available A robotic system for the disabled who needs supports at meal is proposed. A feature of this system is that the robotic aid system can communicate with the operator using the speech recognition and speech synthesis functions. Another feature is that the robotic aid system uses an image processing, and by doing this the system can recognize the environmental situations of the dishes, cups and so on. Due to this image processing function, the operator does not need to specify the position and the posture of the dishes and target objects. Furthermore, combination communication between speech and image processing will enables a friendly man-machine to communicate with each other, since speech and visual information are essential in the human communication.

HIV/AIDS Related Stigma and Discrimination against PLWHA in Nigerian Population

Science.gov (United States)

Bulgiba, Awang; Oche, Oche Mansur; Adekunjo, Felix Oluyemi

2015-01-01

Background HIV/AIDS remain a major public health concern in Nigeria. People living with HIV/AIDS (PLWHA) face not only personal medical problems but also social problems associated with the disease such as stigma and discriminatory attitudes. This study provides an insight into HIV/AIDS related stigma and discrimination against PLWHA in Nigeria. Methods The data for this study was extracted from the 2013 Nigeria Demographic and Health Survey conducted by the National Population Commission. All men and women aged 15–49 years, permanent residents and visitors of the households were eligible for the interview. Several questionnaires were used in the survey, some covering questions on HIV/AIDS. Results A total of 56 307 men and women aged 15–49 years participated in this national survey. About half of the population in Nigeria have HIV stigma. Younger persons, men, those without formal education and those within poor wealth index are more likely to have stigma towards PLWHA. In addition, married people are more likely to have stigma on PLWHA and are more likely to blame PLWHA for bringing the disease to the community. Also about half of the population discriminates against PLWHA. However, those with higher levels of education and those from higher wealth index seem to be more compassionate towards PLWHA. About 70% in the population are willing to care for relative with AIDS, even more so among those with higher level of education. Conclusion There is a high level of HIV stigma and discrimination against PLWHA in the Nigerian population. Education seems to play a major role in the society with respect to HIV stigma and discrimination against PLWHA. Educating the population with factual information on HIV/AIDS is needed to reduce stigma and discrimination towards PLWHA in the community. PMID:26658767

HIV/AIDS Related Stigma and Discrimination against PLWHA in Nigerian Population.

Science.gov (United States)

Dahlui, Maznah; Azahar, Nazar; Bulgiba, Awang; Zaki, Rafdzah; Oche, Oche Mansur; Adekunjo, Felix Oluyemi; Chinna, Karuthan

2015-01-01

HIV/AIDS remain a major public health concern in Nigeria. People living with HIV/AIDS (PLWHA) face not only personal medical problems but also social problems associated with the disease such as stigma and discriminatory attitudes. This study provides an insight into HIV/AIDS related stigma and discrimination against PLWHA in Nigeria. The data for this study was extracted from the 2013 Nigeria Demographic and Health Survey conducted by the National Population Commission. All men and women aged 15-49 years, permanent residents and visitors of the households were eligible for the interview. Several questionnaires were used in the survey, some covering questions on HIV/AIDS. A total of 56 307 men and women aged 15-49 years participated in this national survey. About half of the population in Nigeria have HIV stigma. Younger persons, men, those without formal education and those within poor wealth index are more likely to have stigma towards PLWHA. In addition, married people are more likely to have stigma on PLWHA and are more likely to blame PLWHA for bringing the disease to the community. Also about half of the population discriminates against PLWHA. However, those with higher levels of education and those from higher wealth index seem to be more compassionate towards PLWHA. About 70% in the population are willing to care for relative with AIDS, even more so among those with higher level of education. There is a high level of HIV stigma and discrimination against PLWHA in the Nigerian population. Education seems to play a major role in the society with respect to HIV stigma and discrimination against PLWHA. Educating the population with factual information on HIV/AIDS is needed to reduce stigma and discrimination towards PLWHA in the community.

Estudo das características gráficas mais frequentemente alteradas em disfarces de assinaturas

Directory of Open Access Journals (Sweden)

Roberta Petry Gorziza

2017-03-01

Full Text Available Assinaturas são os grafismos mais efetuados pelas pessoas, por demonstrar conhecimento e concordância a documentos diversos. O exame grafoscópico de assinaturas disfarçadas é uma das determinações mais difíceis de proceder na Documentoscopia. Os disfarces podem confundir os peritos e conduzir a erros quanto à autoria de assinaturas. O objetivo deste trabalho foi identificar as características mais frequentes encontradas em análises grafoscópicas de assinaturas disfarçadas. Foi solicitado a 102 voluntários que assinassem sua assinatura habitual por cinco vezes e, então, que tentassem disfarçar sua assinatura. Posteriormente, realizou-se o confronto gráfico entre as assinaturas padrão e as disfarçadas, e as alterações encontradas foram anotadas, sendo que as mais frequentes foram: modificações da forma de letras maiúsculas e minúsculas, de dimensão e calibre, na forma e na posição de ataques e remates, na quantidade de levantamentos da caneta durante a escrita (andamento gráfico e a alteração ou supressão de símbolos ou caracteres especiais. Esses dados podem ajudar os peritos a identificar características gráficas indicativas de disfarces, quando da verificação de autenticidade. Por outro lado, observou-se que características alteradas com menor frequência surgem em assinaturas disfarçadas e podem levar a uma conclusão errônea no sentido da falsificação do lançamento gráfico.

Groundwater vulnerability indices conditioned by Supervised Intelligence Committee Machine (SICM).

Science.gov (United States)

Nadiri, Ata Allah; Gharekhani, Maryam; Khatibi, Rahman; Sadeghfam, Sina; Moghaddam, Asghar Asghari

2017-01-01

This research presents a Supervised Intelligent Committee Machine (SICM) model to assess groundwater vulnerability indices of an aquifer. SICM uses Artificial Neural Networks (ANN) to overarch three Artificial Intelligence (AI) models: Support Vector Machine (SVM), Neuro-Fuzzy (NF) and Gene Expression Programming (GEP). Each model uses the DRASTIC index, the acronym of 7 geological, hydrological and hydrogeological parameters, which collectively represents intrinsic (or natural) vulnerability and gives a sense of contaminants, such as nitrate-N, penetrating aquifers from the surface. These models are trained to modify or condition their DRASTIC index values by measured nitrate-N concentration. The three AI-techniques often perform similarly but have differences as well and therefore SICM exploits the situation to improve the modeled values by producing a hybrid modeling results through selecting better performing SVM, NF and GEP components. The models of the study area at Ardabil aquifer show that the vulnerability indices by the DRASTIC framework produces sharp fronts but AI models smoothen the fronts and reflect a better correlation with observed nitrate values; SICM improves on the performances of three AI models and cope well with heterogeneity and uncertain parameters. Copyright © 2016 Elsevier B.V. All rights reserved.

Managing the Virtual Machine Lifecycle of the CernVM Project

International Nuclear Information System (INIS)

Charalampidis, I; Blomer, J; Buncic, P; Harutyunyan, A; Larsen, D

2012-01-01

CernVM is a virtual software appliance designed to support the development cycle and provide a runtime environment for LHC applications. It consists of a minimal Linux distribution, a specially tuned file system designed to deliver application software on demand, and contextualization tools. The maintenance of these components involves a variety of different procedures and tools that cannot always connect with each other. Additionally, most of these procedures need to be performed frequently. Currently, in the CernVM project, every time we build a new virtual machine image, we have to perform the whole process manually, because of the heterogeneity of the tools involved. The overall process is error-prone and time-consuming. Therefore, to simplify and aid this continuous maintenance process, we are developing a framework that combines these virtually unrelated tools with a single, coherent interface. To do so, we identified all the involved procedures and their tools, tracked their dependencies and organized them into logical groups (e.g. build, test, instantiate). These groups define the procedures that are performed throughout the lifetime of a virtual machine. In this paper we describe the Virtual Machine Lifecycle and the framework we developed (iAgent) in order to simplify the maintenance process.

Simulations of Quantum Turing Machines by Quantum Multi-Stack Machines

OpenAIRE

Qiu, Daowen

2005-01-01

As was well known, in classical computation, Turing machines, circuits, multi-stack machines, and multi-counter machines are equivalent, that is, they can simulate each other in polynomial time. In quantum computation, Yao [11] first proved that for any quantum Turing machines $M$, there exists quantum Boolean circuit $(n,t)$-simulating $M$, where $n$ denotes the length of input strings, and $t$ is the number of move steps before machine stopping. However, the simulations of quantum Turing ma...

Infection dynamics and molecular identification of metacercariae in cyprinoids from Chiang Mai and Sakon Nakhon Provinces.

Science.gov (United States)

Wongsawad, Pheravut; Wongsawad, Chalobol

2011-01-01

The infection dynamics of metacercariae were assessed in cyprinoid fish (cyprinoids) from Chiang Mai and Sakon Nakhon Provinces, Thailand, during October 2008 to September 2009. The samples were collected during 3 seasons from rivers and local markets. Metacercarial infection was determined by acid-pepsin digestion and confirmed using HAT-RAPD PCR method. Thirteen and 16 species of cyprinoids were collected from Chiang Mai and Sakon Nakhon with overall prevalences of metacercarial infection of 84.5 and 47.6%, respectively. Haplorchis taichui, Haplorchoides sp, and Centrocestus caninus were found in Chiang Mai and 4 species of metacercariae: H. taichui, Haplorchoides sp, O. viverrini and an unknown trematode species in Sakon Nakhon. H. taichui and Haplorchoides sp metacercariae in 3 species of cyprinoids (Henicorhynchus siamensis, Cyclocheilichthys armatus, Amblyrhynchichthy truncatus) had the highest prevalence (100%) in Chiang Mai, while the highest prevalence (100%) of metacercaria in Sakon Nakhon was Haplorchoides sp in 1 species of cyprinoids (Cyclocheilichthys armatus). The overall prevalence from Chiang Mai Province was highest in the rainy season (95.6%), lower in the hot-dry season (88.1%) and lowest in the cool season (72.5%). In Sakon Nakhon Province the highest prevalence was in the hot-dry season (52.7%), and lower in the rainy and cool season, 44.4% and 43.5%, respectively. The HAT-RAPD profiles confirmed the identity of metacercariae and adult stage of H. taichui, Haplorchoides sp, C. caninus and O. viverrini.

Fiscal 1998 achievement report on regional consortium research and development project. Research and development for developing basic technologies of composite laser-aided metal machining into highly advanced system (Technology of machining process systematization for furnishing titanium and titanium alloys with advanced functions - 2nd year); 1998 nendo fukugo laser nado ni yoru kinzoku kako kiban gijutsu no kodo system ka no kenkyu kaihatsu seika hokokusho. 2. Chitan oyobi chitan gokin eno kokino fuyo kako system ka gijutsu

Energy Technology Data Exchange (ETDEWEB)

NONE

2000-03-01

For the creation of new industries and for their expansion to the consumer market, efforts are made to develop laser-aided technology of bonding titanium with other metals and CAD/CAM (computer-aided design/computer-aided manufacture)-aided technology of high-precision multidimensional laser machining for titanium. In the development of technology for bonding titanium and other metals, combinations of titanium and stainless steel and titanium and copper are examined, and a dissimilar metal joint is successfully manufactured, free of cracks at a tension shear strength level of approximately 4200N/40mm and shear stress of 200MPa or higher. In the study of the mechanism of bonding, it is found that a sound weld metal is created with the formation of intermetallic compounds well inhibited by allowing titanium to be on the upper surface. In the study of laser-aided titanium cutting, a dross-free cutting process is realized by optimizing cutting conditions such as those involving laser excitation and assist gas application. Three-dimensional laser-aided cutting is carried out in compliance with a 3-dimensional laser cutting program incorporating metal pattern data, and the process is found to reduce the number of necessary dies to 1/4 to shorten and simplify the process. (NEDO)

Discourse and (trans)identities: interaction, intersubjectivity and access to STD/AIDS prevention among travestites

OpenAIRE

Borba, Rodrigo

2009-01-01

Neste artigo, investigam-se as dinâmicas discursivo-identitárias emergentes de eventos de fala co-construídos entre travestis que se prostituem e mulheres ativistas na prevenção de DST/AIDS. Através de uma perspectiva socioconstrucionista do discurso e das identidades sociais (MOITA LOPES, 2003), o estudo analisa os processos de (re)construção, (re)negociação e administração de diferenças (percebidas ou construídas) entre as interagentes. Mais especificamente, analisam-se as táticas de inters...

Machine tool structures

CERN Document Server

Koenigsberger, F

1970-01-01

Machine Tool Structures, Volume 1 deals with fundamental theories and calculation methods for machine tool structures. Experimental investigations into stiffness are discussed, along with the application of the results to the design of machine tool structures. Topics covered range from static and dynamic stiffness to chatter in metal cutting, stability in machine tools, and deformations of machine tool structures. This volume is divided into three sections and opens with a discussion on stiffness specifications and the effect of stiffness on the behavior of the machine under forced vibration c

Evaluation of the Wii Balance Board for walking aids prediction: proof-of-concept study in total knee arthroplasty.

Science.gov (United States)

Pua, Yong-Hao; Clark, Ross A; Ong, Peck-Hoon

2015-01-01

To provide proof-of-concept for the validity of the Wii Balance Board (WBB) measures to predict the type of walking aids required by inpatients with a recent (≤4 days) total knee arthroplasty (TKA). A cross-sectional sample of 89 inpatients (mean age, 67.0±8 years) with TKA was analyzed. A multivariable proportional odds prediction model was constructed using 8 pre-specified predictors – namely, age, sex, body mass index, knee pain, knee range-of-motion, active knee lag, and WBB-derived standing balance. The type of walking aids prescribed on day 4 post-surgery was the outcome of interest – an ordinal variable with 4 categories (walking stick, narrow- and broad-base quadstick, and walking frame). Women, increasing body mass index, and poorer standing balance were independently associated with greater odds for requiring walking aids with a larger base-of-support. The concordance-index of the prediction model was 0.74. The model comprising only WBB-derived standing balance had nearly half (44%) the explanatory power of the full model. Adding WBB-derived standing balance to conventional demographic and knee variables resulted in a continuous net reclassification index of 0.60 (95%CI,0.19-1.01), predominantly due to better identification of patients who required walking aids with a large base-of-support (sensitivity gain). The WBB was able to provide quantitative measures of standing balance which could assist healthcare professionals in prescribing the appropriate type of walking aids for patients. Further investigation is needed to assess whether using the WBB could lead to meaningful changes in clinical outcomes such as falls.

Evaluation of the Wii Balance Board for walking aids prediction: proof-of-concept study in total knee arthroplasty.

Directory of Open Access Journals (Sweden)

Yong-Hao Pua

Full Text Available To provide proof-of-concept for the validity of the Wii Balance Board (WBB measures to predict the type of walking aids required by inpatients with a recent (≤4 days total knee arthroplasty (TKA.A cross-sectional sample of 89 inpatients (mean age, 67.0±8 years with TKA was analyzed. A multivariable proportional odds prediction model was constructed using 8 pre-specified predictors – namely, age, sex, body mass index, knee pain, knee range-of-motion, active knee lag, and WBB-derived standing balance. The type of walking aids prescribed on day 4 post-surgery was the outcome of interest – an ordinal variable with 4 categories (walking stick, narrow- and broad-base quadstick, and walking frame.Women, increasing body mass index, and poorer standing balance were independently associated with greater odds for requiring walking aids with a larger base-of-support. The concordance-index of the prediction model was 0.74. The model comprising only WBB-derived standing balance had nearly half (44% the explanatory power of the full model. Adding WBB-derived standing balance to conventional demographic and knee variables resulted in a continuous net reclassification index of 0.60 (95%CI,0.19-1.01, predominantly due to better identification of patients who required walking aids with a large base-of-support (sensitivity gain.The WBB was able to provide quantitative measures of standing balance which could assist healthcare professionals in prescribing the appropriate type of walking aids for patients. Further investigation is needed to assess whether using the WBB could lead to meaningful changes in clinical outcomes such as falls.

Electricity of machine tool

International Nuclear Information System (INIS)

Gijeon media editorial department

1977-10-01

This book is divided into three parts. The first part deals with electricity machine, which can taints from generator to motor, motor a power source of machine tool, electricity machine for machine tool such as switch in main circuit, automatic machine, a knife switch and pushing button, snap switch, protection device, timer, solenoid, and rectifier. The second part handles wiring diagram. This concludes basic electricity circuit of machine tool, electricity wiring diagram in your machine like milling machine, planer and grinding machine. The third part introduces fault diagnosis of machine, which gives the practical solution according to fault diagnosis and the diagnostic method with voltage and resistance measurement by tester.

Machine medical ethics

CERN Document Server

Pontier, Matthijs

2015-01-01

The essays in this book, written by researchers from both humanities and sciences, describe various theoretical and experimental approaches to adding medical ethics to a machine in medical settings. Medical machines are in close proximity with human beings, and getting closer: with patients who are in vulnerable states of health, who have disabilities of various kinds, with the very young or very old, and with medical professionals. In such contexts, machines are undertaking important medical tasks that require emotional sensitivity, knowledge of medical codes, human dignity, and privacy. As machine technology advances, ethical concerns become more urgent: should medical machines be programmed to follow a code of medical ethics? What theory or theories should constrain medical machine conduct? What design features are required? Should machines share responsibility with humans for the ethical consequences of medical actions? How ought clinical relationships involving machines to be modeled? Is a capacity for e...

Efeito do composto "mais vida" na ativação de macrófagos de ratos diabéticos Effects of "mais vida", a commercial natural mix, on the activation of macrophages from diabetic rats

Directory of Open Access Journals (Sweden)

E.L. França

2012-01-01

Full Text Available O objetivo deste trabalho foi avaliar a atividade funcional de macrófagos de ratos diabéticos, através da liberação do ânion superóxido, na presença do composto "mais vida". Os animais foram divididos em dois grupos, controle (N=20 e diabético (N=20. Avaliou-se a glicemia, massa corpórea e a liberação de superóxido pelos macrófagos de baço de ratos. O composto "mais vida" foi obtido através da mistura de extratos de sete plantas, sendo Orbignia martiana Rodr., Tabebuia avellanedae L.G., Arctium lappa L., Rosa centifolia L., Maytenus ilicifolia Mart., Vernonia condensata Baker e Thuja occidentalis L. Observou-se que glicemia foi maior no grupo diabético. A liberação espontânea do ânion superóxido pelos macrófagos foi menor no grupo diabético. O composto "mais vida", independente dos níveis glicêmicos, aumentou a liberação de superóxido dos macrófagos. Quando as células foram estimuladas pelos extratos vegetais isolados, também houve aumento na liberação do ânion superóxido pelos macrófagos em ambos os grupos. As maiores liberações de superóxido ocorreram quando os macrófagos foram estimulados pela Thuja occidentalis L., Rosa centifolia L., Tabebuia avellanedae L.G. e Maytenus ilicifolia Mart. Estes dados sugerem que a ativação de macrófagos pelo composto "mais vida" pode representar um mecanismo alternativo de defesa para infecções em indivíduos diabéticos.This study investigated the effects of "mais vida", a commercial natural mix, on macrophages functional activity as evaluated by the superoxide release in diabetic rats. The animals were divided into two groups, control (N = 20 and diabetic (N = 20. This was achieved by determining blood glucose weight and the superoxide released by spleen macrophages. The "mais vida" mix was obtained by the combination of extracts from seven medicinal species, which were: Orbignia martiana Rodr., Tabebuia avellanedae L.G., Arctium lappa L., Rosa centifolia L

Humanizing machines: Anthropomorphization of slot machines increases gambling.

Science.gov (United States)

Riva, Paolo; Sacchi, Simona; Brambilla, Marco

2015-12-01

Do people gamble more on slot machines if they think that they are playing against humanlike minds rather than mathematical algorithms? Research has shown that people have a strong cognitive tendency to imbue humanlike mental states to nonhuman entities (i.e., anthropomorphism). The present research tested whether anthropomorphizing slot machines would increase gambling. Four studies manipulated slot machine anthropomorphization and found that exposing people to an anthropomorphized description of a slot machine increased gambling behavior and reduced gambling outcomes. Such findings emerged using tasks that focused on gambling behavior (Studies 1 to 3) as well as in experimental paradigms that included gambling outcomes (Studies 2 to 4). We found that gambling outcomes decrease because participants primed with the anthropomorphic slot machine gambled more (Study 4). Furthermore, we found that high-arousal positive emotions (e.g., feeling excited) played a role in the effect of anthropomorphism on gambling behavior (Studies 3 and 4). Our research indicates that the psychological process of gambling-machine anthropomorphism can be advantageous for the gaming industry; however, this may come at great expense for gamblers' (and their families') economic resources and psychological well-being. (c) 2015 APA, all rights reserved).

Limites do trabalho multiprofissional: estudo de caso dos centros de referência para DST/Aids Limitations of multiprofessional work: a case study of STD/AIDS reference centers

Directory of Open Access Journals (Sweden)

Neide Emy Kurokawa e Silva

2002-08-01

Full Text Available OBJETIVO: Compreender as possibilidades e os limites da articulação dos processos de trabalho desenvolvidos por agentes com diferentes formações para otimizar a integração e melhorar a qualidade da assistência aos pacientes com HIV/Aids. MÉTODOS: Estudo qualitativo sobre o trabalho multiprofissional em cinco centros de referência para DST/Aids do Município de São Paulo. Foram realizadas entrevistas semi-estruturadas com 26 profissionais de diferentes formações, enfocando suas relações no modo de organização da assistência prestada nesses serviços. RESULTADOS: Houve diferenças significativas do alcance da integração multiprofissional e das possibilidades de enriquecimento da assistência prestada, de acordo com as circunstâncias em que o trabalho interdisciplinar é posto em ação. CONCLUSÕES: Quando a equipe consegue trabalhar com demandas antevistas, isto é, com a formulação, por um conjunto de profissionais, de projetos assistenciais, antecipando demandas a partir de situações concretas da prática, criam-se condições favoráveis a um trabalho mais efetivamente integrado da equipe multiprofissional. Essa integração favorece intervenções que permitem um diálogo mais rico entre a aplicação do tratamento medicamentoso e outras dimensões relevantes do cuidado referentes às vivências sociais, psicológicas e emocionais dos pacientes.OBJECTIVE: To understand the possibilities and limitations of developing coordinated work among professionals of different background in order to promote work collaboration and improve the quality of care of HIV/AIDS patients. METHODS: A qualitative study on multiprofessional work was carried out in five STD/AIDS reference centers in the city of São Paulo, Brazil. Semi-structured interviews were applied to 26 professionals from different background, focusing on how they position their practices in a multiprofessional setting. RESULTS: Significant differences were observed as to

Methamphetamine use is associated with high levels of depressive symptoms in adolescents and young adults in Rural Chiang Mai Province, Thailand

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Lauren E. DiMiceli

2016-02-01

Full Text Available Abstract Background High levels of depressive symptoms often occur among individuals that use or that are dependent on methamphetamine (MA. Thailand is currently experiencing an epidemic of MA use among youth. Understanding the nature of the relationship between depressive symptoms and MA use and identifying those most at risk can further understanding of prevention and treatment options for youth who use MA and present with depressive symptoms. Methods In 2011, we conducted a cross sectional epidemiologic study that examined associations between MA use and high levels of depressive symptoms among adolescents and young adults aged 14–29 living in Chiang Mai province, Thailand. A combination of cluster and systematic sampling was conducted to obtain a study sample of participants actively recruited in Chiang Mai province. Depressive symptoms were measured using a Thai translation of the Centers for Epidemiologic Studies Depression scale (CES-D. The independent variables measured reported lifetime and recent MA use within the past 3 months. Multivariate logistic regression models were used to assess associations between MA use and high levels of depressive symptoms. Results Approximately 19 % (n = 394 of the sample reported ever having consumed MA and 31 % (n = 124 of lifetime users reported recent MA use within the past 3 months. Recent MA use was associated with high levels of depressive symptoms (aPOR recent use: 2.60, 95 % CI: 1.20, 5.63. Conclusions This is one of the first studies to examine the association between MA use and high levels of depressive symptoms in a general Thai population. The odds of having high levels of depressive symptoms was significantly greater among recent MA users compared to non-users. These findings support the need for policies, programs and interventions to prevent and treat depressive symptoms presenting among MA using Thai adolescents and young adults in rural Chiang Mai province, Thailand to

Methods, systems and apparatus for controlling operation of two alternating current (AC) machines

Science.gov (United States)

Gallegos-Lopez, Gabriel [Torrance, CA; Nagashima, James M [Cerritos, CA; Perisic, Milun [Torrance, CA; Hiti, Silva [Redondo Beach, CA

2012-02-14

A system is provided for controlling two AC machines. The system comprises a DC input voltage source that provides a DC input voltage, a voltage boost command control module (VBCCM), a five-phase PWM inverter module coupled to the two AC machines, and a boost converter coupled to the inverter module and the DC input voltage source. The boost converter is designed to supply a new DC input voltage to the inverter module having a value that is greater than or equal to a value of the DC input voltage. The VBCCM generates a boost command signal (BCS) based on modulation indexes from the two AC machines. The BCS controls the boost converter such that the boost converter generates the new DC input voltage in response to the BCS. When the two AC machines require additional voltage that exceeds the DC input voltage required to meet a combined target mechanical power required by the two AC machines, the BCS controls the boost converter to drive the new DC input voltage generated by the boost converter to a value greater than the DC input voltage.

Code-expanded radio access protocol for machine-to-machine communications

DEFF Research Database (Denmark)

Thomsen, Henning; Kiilerich Pratas, Nuno; Stefanovic, Cedomir

2013-01-01

The random access methods used for support of machine-to-machine, also referred to as Machine-Type Communications, in current cellular standards are derivatives of traditional framed slotted ALOHA and therefore do not support high user loads efficiently. We propose an approach that is motivated b...... subframes and orthogonal preambles, the amount of available contention resources is drastically increased, enabling the massive support of Machine-Type Communication users that is beyond the reach of current systems.......The random access methods used for support of machine-to-machine, also referred to as Machine-Type Communications, in current cellular standards are derivatives of traditional framed slotted ALOHA and therefore do not support high user loads efficiently. We propose an approach that is motivated...... by the random access method employed in LTE, which significantly increases the amount of contention resources without increasing the system resources, such as contention subframes and preambles. This is accomplished by a logical, rather than physical, extension of the access method in which the available system...

An exploratory survey measuring stigma and discrimination experienced by people living with HIV/AIDS in South Africa: the People Living with HIV Stigma Index.

Science.gov (United States)

Dos Santos, Monika Ml; Kruger, Pieter; Mellors, Shaun E; Wolvaardt, Gustaaf; van der Ryst, Elna

2014-01-27

The continued presence of stigma and its persistence even in areas where HIV prevalence is high makes it an extraordinarily important, yet difficult, issue to eradicate. The study aimed to assess current and emerging HIV/AIDS stigma and discrimination trends in South Africa as experienced by people living with HIV/AIDS (PLHIV). The PLHIV Stigma Index, a questionnaire that measures and detects changing trends in relation to stigma and discrimination experienced by PLHIV, was used as the survey tool. The study was conducted in 10 clinics in four provinces supported by the Foundation for Professional Development (FPD), with an interview total of 486 PLHIV. A cross-sectional design was implemented in the study, and both descriptive and inferential analysis was conducted on the data. Findings suggest that PLHIV in this population experience significant levels of stigma and discrimination that negatively impact on their health, working and family life, as well as their access to health services. Internalised stigma was prominent, with many participants blaming themselves for their status. The findings can be used to develop and inform programmes and interventions to reduce stigma experienced by PLHIV. The current measures for dealing with stigma should be expanded to incorporate the issues related to health, education and discrimination experienced in the workplace, that were highlighted by the study.

Optimization of the man-machine interface for LMFBRs

International Nuclear Information System (INIS)

Seeman, S.E.; Colley, R.W.; Stratton, R.C.

1982-01-01

An effort is underway to optimize the roles of man and machine in control of Liquid Metal Fast Breeder Reactors. The work reported on here describes two systems that have been developed. The first of these, MIDAS, is a large data base system developed for use at FFTF as an aid to operators in determining how to proceed with maintenance and repairs to be carried out on plant components. This system is presently in use at FFTF. The second system, the Procedure Prompting System, is a system being developed to demonstrate a new methodology for automatically generating off-normal plant recovery instructions. The methodology for this system has been demonstrated on a model of a small subsystem of FFTF

Application of support vector machines to breast cancer screening using mammogram and clinical history data

Science.gov (United States)

Land, Walker H., Jr.; McKee, Dan; Velazquez, Roberto; Wong, Lut; Lo, Joseph Y.; Anderson, Francis R.

2003-05-01

The objectives of this paper are to discuss: (1) the development and testing of a new Evolutionary Programming (EP) method to optimally configure Support Vector Machine (SVM) parameters for facilitating the diagnosis of breast cancer; (2) evaluation of EP derived learning machines when the number of BI-RADS and clinical history discriminators are reduced from 16 to 7; (3) establishing system performance for several SVM kernels in addition to the EP/Adaptive Boosting (EP/AB) hybrid using the Digital Database for Screening Mammography, University of South Florida (DDSM USF) and Duke data sets; and (4) obtaining a preliminary evaluation of the measurement of SVM learning machine inter-institutional generalization capability using BI-RADS data. Measuring performance of the SVM designs and EP/AB hybrid against these objectives will provide quantative evidence that the software packages described can generalize to larger patient data sets from different institutions. Most iterative methods currently in use to optimize learning machine parameters are time consuming processes, which sometimes yield sub-optimal values resulting in performance degradation. SVMs are new machine intelligence paradigms, which use the Structural Risk Minimization (SRM) concept to develop learning machines. These learning machines can always be trained to provide global minima, given that the machine parameters are optimally computed. In addition, several system performance studies are described which include EP derived SVM performance as a function of: (a) population and generation size as well as a method for generating initial populations and (b) iteratively derived versus EP derived learning machine parameters. Finally, the authors describe a set of experiments providing preliminary evidence that both the EP/AB hybrid and SVM Computer Aided Diagnostic C++ software packages will work across a large population of patients, based on a data set of approximately 2,500 samples from five different

Spatial diffusion of influenza outbreak-related climate factors in Chiang Mai Province, Thailand.

Science.gov (United States)

Nakapan, Supachai; Tripathi, Nitin Kumar; Tipdecho, Taravudh; Souris, Marc

2012-10-24

Influenza is one of the most important leading causes of respiratory illness in the countries located in the tropical areas of South East Asia and Thailand. In this study the climate factors associated with influenza incidence in Chiang Mai Province, Northern Thailand, were investigated. Identification of factors responsible for influenza outbreaks and the mapping of potential risk areas in Chiang Mai are long overdue. This work examines the association between yearly climate patterns between 2001 and 2008 and influenza outbreaks in the Chiang Mai Province. The climatic factors included the amount of rainfall, percent of rainy days, relative humidity, maximum, minimum temperatures and temperature difference. The study develops a statistical analysis to quantitatively assess the relationship between climate and influenza outbreaks and then evaluate its suitability for predicting influenza outbreaks. A multiple linear regression technique was used to fit the statistical model. The Inverse Distance Weighted (IDW) interpolation and Geographic Information System (GIS) techniques were used in mapping the spatial diffusion of influenza risk zones. The results show that there is a significance correlation between influenza outbreaks and climate factors for the majority of the studied area. A statistical analysis was conducted to assess the validity of the model comparing model outputs and actual outbreaks.

Bone mineral density and bone turnover among young women in Chiang Mai, Thailand.

Science.gov (United States)

Iwasaki, Eriko; Morakote, Nuntana; Chaovistsaree, Somsak; Matsuo, Hiroya

2014-03-12

The present study was carried out to investigate the influence of lifestyle on bone mineral density (BMD) and bone turnover among young women in Chiang Mai, Thailand. A total of 177 young women affiliated with Chiang Mai University hospital were enrolled. Firstly, questionnaires about their lifestyle and the Osteoporosis Knowledge Test (OKT) were examined. The measurement of BMD was assessed by Quantitative Ultrasound (QUS). Secondly, based on the measurement of BMD, the subjects were divided into 2 groups, a Low BMD group (L group: less than YAM-1.0SD) and a Normal BMD group (N group: more than YAM-1.0SD). L group (n=23) and N group (n=23) were examined using Osteocalcine (OC), type 1 collagen cross-linked N-telopeptide (NTx) and undercarboxylated osteocalcin (ucOC) as bone turnover markers, and serum Ca, 1,25-(OH)2Vitamin D, Vitamin K1 and Vitamin K2 (MK-4) as bone turnover related factors. Based on the results, the percentage of Low BMD group was 23.2%. Concerning lifestyle and BMD, the BMD of the low cheese intake group was 99.7± 17.0 and the BMD of the high cheese intake one was 110.0± 23.3 (pChiang Mai, Thailand.

Spatial Diffusion of Influenza Outbreak-Related Climate Factors in Chiang Mai Province, Thailand

Directory of Open Access Journals (Sweden)

Marc Souris

2012-10-01

Full Text Available Influenza is one of the most important leading causes of respiratory illness in the countries located in the tropical areas of South East Asia and Thailand. In this study the climate factors associated with influenza incidence in Chiang Mai Province, Northern Thailand, were investigated. Identification of factors responsible for influenza outbreaks and the mapping of potential risk areas in Chiang Mai are long overdue. This work examines the association between yearly climate patterns between 2001 and 2008 and influenza outbreaks in the Chiang Mai Province. The climatic factors included the amount of rainfall, percent of rainy days, relative humidity, maximum, minimum temperatures and temperature difference. The study develops a statistical analysis to quantitatively assess the relationship between climate and influenza outbreaks and then evaluate its suitability for predicting influenza outbreaks. A multiple linear regression technique was used to fit the statistical model. The Inverse Distance Weighted (IDW interpolation and Geographic Information System (GIS techniques were used in mapping the spatial diffusion of influenza risk zones. The results show that there is a significance correlation between influenza outbreaks and climate factors for the majority of the studied area. A statistical analysis was conducted to assess the validity of the model comparing model outputs and actual outbreaks.

All-to-All Communication on the Connection Machine CM-200

Directory of Open Access Journals (Sweden)

Kapil K. Mathur

1995-01-01

Full Text Available Detailed algorithms for all-to-all broadcast and reduction are given for arrays mapped by binary or binary-reflected Gray code encoding to the processing nodes of binary cube networks. Algorithms are also given for the local computation of the array indices for the communicated data, thereby reducing the demand for the communications bandwidth. For the Connection Machine system CM-200, Hamiltonian cycle-based all-to-all communication algorithms yield a performance that is a factor of 2 to 10 higher than the performance offered by algorithms based on trees, butterfly networks, or the Connection Machine router. The peak data rate achieved for all-to-all broadcast on a 2,048-node Connection Machine system CM-200 is 5.4 Gbyte/s. The index order of the data in local memory depends on implementation details of the algorithms, but it is well defined. If a linear ordering is desired, then including the time for local data reordering reduces the effective peak data rate to 2.5 Gbyte/s.

Limites do trabalho multiprofissional: estudo de caso dos centros de referência para DST/Aids

Directory of Open Access Journals (Sweden)

Silva Neide Emy Kurokawa e

2002-01-01

Full Text Available OBJETIVO: Compreender as possibilidades e os limites da articulação dos processos de trabalho desenvolvidos por agentes com diferentes formações para otimizar a integração e melhorar a qualidade da assistência aos pacientes com HIV/Aids. MÉTODOS: Estudo qualitativo sobre o trabalho multiprofissional em cinco centros de referência para DST/Aids do Município de São Paulo. Foram realizadas entrevistas semi-estruturadas com 26 profissionais de diferentes formações, enfocando suas relações no modo de organização da assistência prestada nesses serviços. RESULTADOS: Houve diferenças significativas do alcance da integração multiprofissional e das possibilidades de enriquecimento da assistência prestada, de acordo com as circunstâncias em que o trabalho interdisciplinar é posto em ação. CONCLUSÕES: Quando a equipe consegue trabalhar com demandas antevistas, isto é, com a formulação, por um conjunto de profissionais, de projetos assistenciais, antecipando demandas a partir de situações concretas da prática, criam-se condições favoráveis a um trabalho mais efetivamente integrado da equipe multiprofissional. Essa integração favorece intervenções que permitem um diálogo mais rico entre a aplicação do tratamento medicamentoso e outras dimensões relevantes do cuidado referentes às vivências sociais, psicológicas e emocionais dos pacientes.

METHOD OF ESTIMATION INFLUENCE OF MASS AND SIZE INDEXES OF SYNCHRONOUS GENERATORS ON THEIR DYNAMIC STABILITY AT EXTERNAL INDIGNATIONS

OpenAIRE

Chernyuk, Artem Mikhaylovich; Egorov, Оleksii Borisovich; Budanov, Pavlo Feofanovch; Bykova, Viktoriya Sergeyevna

2015-01-01

The analysis of methods of decline of mass and size indexes of synchronous generators and increase of their tecnik and economic descriptions is conducted in the article. Possible changes are certain in the modes of operations of machine as a result of change of its массо-габаритных indexes. Dependence of dynamic stability of work of machine as function of moment of inertia of its rotor is shown. Descriptions of speed of change of corner of ä of synchronous generator are got depending on the m...

Simple machines

CERN Document Server

Graybill, George

2007-01-01

Just how simple are simple machines? With our ready-to-use resource, they are simple to teach and easy to learn! Chocked full of information and activities, we begin with a look at force, motion and work, and examples of simple machines in daily life are given. With this background, we move on to different kinds of simple machines including: Levers, Inclined Planes, Wedges, Screws, Pulleys, and Wheels and Axles. An exploration of some compound machines follows, such as the can opener. Our resource is a real time-saver as all the reading passages, student activities are provided. Presented in s

Islanding Detection of Synchronous Machine-Based DGs using Average Frequency Based Index

Directory of Open Access Journals (Sweden)

M. Bakhshi

2013-06-01

Full Text Available Identification of intentional and unintentional islanding situations of dispersed generators (DGs is one of the most important protection concerns in power systems. Considering safety and reliability problems of distribution networks, an exact diagnosis index is required to discriminate the loss of the main network from the existing parallel operation. Hence, this paper introduces a new islanding detection method for synchronous machine–based DGs. This method uses the average value of the generator frequency to calculate a new detection index. The proposed method is an effective supplement of the over/under frequency protection (OFP/UFP system. The analytical equations and simulation results are used to assess the performance of the proposed method under various scenarios such as different types of faults, load changes and capacitor bank switching. To show the effectiveness of the proposed method, it is compared with the performance of both ROCOF and ROCOFOP methods.

Machine performance assessment and enhancement for a hexapod machine

Energy Technology Data Exchange (ETDEWEB)

Mou, J.I. [Arizona State Univ., Tempe, AZ (United States); King, C. [Sandia National Labs., Livermore, CA (United States). Integrated Manufacturing Systems Center

1998-03-19

The focus of this study is to develop a sensor fused process modeling and control methodology to model, assess, and then enhance the performance of a hexapod machine for precision product realization. Deterministic modeling technique was used to derive models for machine performance assessment and enhancement. Sensor fusion methodology was adopted to identify the parameters of the derived models. Empirical models and computational algorithms were also derived and implemented to model, assess, and then enhance the machine performance. The developed sensor fusion algorithms can be implemented on a PC-based open architecture controller to receive information from various sensors, assess the status of the process, determine the proper action, and deliver the command to actuators for task execution. This will enhance a hexapod machine`s capability to produce workpieces within the imposed dimensional tolerances.

CAE Analysis of Secondary Shaft Systems in Great Five-axis Turning-Milling Complex CNC Machine

Directory of Open Access Journals (Sweden)

Chih-Chiang Hong

2018-01-01

Full Text Available The commercial computer aided engineering (CAE software is used to analyze the linear-static construction, stress and deformation for the secondary shaft systems in great five-axis turning-milling complex computer numerical control (CNC machine. It is convenient and always only three dimensional (3D graphic parts needed firstly prepared and further more detail used for the commercial CAE. It is desirable to predict a deformed position for the cut tool under external pressure loads in the working process of CNC machine. The linear results for static analysis of stresses, displacements in corresponding to the screw shaft locates at top, medium and bottom positions of the secondary shaft systems are obtained by using the simulation module of SOLIDWORKS®.

Superconducting rotating machines

International Nuclear Information System (INIS)

Smith, J.L. Jr.; Kirtley, J.L. Jr.; Thullen, P.

1975-01-01

The opportunities and limitations of the applications of superconductors in rotating electric machines are given. The relevant properties of superconductors and the fundamental requirements for rotating electric machines are discussed. The current state-of-the-art of superconducting machines is reviewed. Key problems, future developments and the long range potential of superconducting machines are assessed

Valve-aided twisted Savonius rotor

Energy Technology Data Exchange (ETDEWEB)

Jaya Rajkumar, M.; Saha, U.K.

2006-05-15

Accessories, such as end plates, deflecting plates, shielding and guide vanes, may increase the power of a Savonius rotor, but make the system structurally complex. In such cases, the rotor can develop a relatively large torque at small rotational speeds and is cheap to build, however it harnesses only a small fraction of the incident wind energy. Another proposition for increasing specific output is to place non-return valves inside the concave side of the blades. Such methods have been studied experimentally with a twisted-blade Thus improving a Savonius rotor's energy capture. This new concept has been named as the 'Valve-Aided Twisted Savonius'rotor. Tests were conducted in a low-speed wind tunnel to evaluate performance. This mechanism is found to be independent of flow direction, and shows potential for large machines. [Author].

Sustainable machining

CERN Document Server

2017-01-01

This book provides an overview on current sustainable machining. Its chapters cover the concept in economic, social and environmental dimensions. It provides the reader with proper ways to handle several pollutants produced during the machining process. The book is useful on both undergraduate and postgraduate levels and it is of interest to all those working with manufacturing and machining technology.

100% anthracite burning at the Hoang Mai cement factory (Viet-Nam); Calcination 100% anthracite a la cimenterie de Hoang Mai (Viet-Nam)

Energy Technology Data Exchange (ETDEWEB)

Jorget, S. [Fcb Ciment, 59 - Villeneuve d' Ascq (France)

2003-07-01

The Hoang Mai cement factory is a greenfield plant whose contract (design and supply of equipment) was awarded o the French company Fcb.ciment, while the owner kept the responsibility of civil works and of erection. The contract was signed in late 1997. The commissioning began in September 2001, and the burning line was started on February 27, 2002. Clinker production started from this day, and after two months devoted to equipment adjustments, performance tests were carried out. The provisional acceptance certificate was delivered in August 2002. (author)

Correlating neutron yield and reliability for selecting experimental parameters for a plasma focus machine

International Nuclear Information System (INIS)

Pross, G.

Possibilities of optimizing focus machines with a given energy content in the sense of high neutron yield and high reliability of the discharges are investigated experimentally. For this purpose, a focus machine of the Mather type with an energy content of 12 kJ was constructed. The following experimental parameters were varied: the material of the insulator in the ignition zone, the structure of the outside electrode, the length of the inside electrode, the filling pressure and the amount and polarity of the battery voltage. An important part of the diagnostic program consists of measurements of the azimuthal and axial current distribution in the accelerator, correlated with short-term photographs of the luminous front as a function of time. The results are given. A functional schematic has been drafted for focus discharge as an aid in extensive optimization of focus machines, combining findings from theory and experiments. The schematic takes into account the multiparameter character of the discharge and clarifies relationships between the experimental parameters and the target variables neutron yield and reliability

Waterbodies Extraction from LANDSAT8-OLI Imagery Using Awater Indexs-Guied Stochastic Fully-Connected Conditional Random Field Model and the Support Vector Machine

Science.gov (United States)

Wang, X.; Xu, L.

2018-04-01

One of the most important applications of remote sensing classification is water extraction. The water index (WI) based on Landsat images is one of the most common ways to distinguish water bodies from other land surface features. But conventional WI methods take into account spectral information only form a limited number of bands, and therefore the accuracy of those WI methods may be constrained in some areas which are covered with snow/ice, clouds, etc. An accurate and robust water extraction method is the key to the study at present. The support vector machine (SVM) using all bands spectral information can reduce for these classification error to some extent. Nevertheless, SVM which barely considers spatial information is relatively sensitive to noise in local regions. Conditional random field (CRF) which considers both spatial information and spectral information has proven to be able to compensate for these limitations. Hence, in this paper, we develop a systematic water extraction method by taking advantage of the complementarity between the SVM and a water index-guided stochastic fully-connected conditional random field (SVM-WIGSFCRF) to address the above issues. In addition, we comprehensively evaluate the reliability and accuracy of the proposed method using Landsat-8 operational land imager (OLI) images of one test site. We assess the method's performance by calculating the following accuracy metrics: Omission Errors (OE) and Commission Errors (CE); Kappa coefficient (KP) and Total Error (TE). Experimental results show that the new method can improve target detection accuracy under complex and changeable environments.

The definition of insulin resistance using HOMA-IR for Americans of Mexican descent using machine learning.

Science.gov (United States)

Qu, Hui-Qi; Li, Quan; Rentfro, Anne R; Fisher-Hoch, Susan P; McCormick, Joseph B

2011-01-01

The lack of standardized reference range for the homeostasis model assessment-estimated insulin resistance (HOMA-IR) index has limited its clinical application. This study defines the reference range of HOMA-IR index in an adult Hispanic population based with machine learning methods. This study investigated a Hispanic population of 1854 adults, randomly selected on the basis of 2000 Census tract data in the city of Brownsville, Cameron County. Machine learning methods, support vector machine (SVM) and Bayesian Logistic Regression (BLR), were used to automatically identify measureable variables using standardized values that correlate with HOMA-IR; K-means clustering was then used to classify the individuals by insulin resistance. Our study showed that the best cutoff of HOMA-IR for identifying those with insulin resistance is 3.80. There are 39.1% individuals in this Hispanic population with HOMA-IR>3.80. Our results are dramatically different using the popular clinical cutoff of 2.60. The high sensitivity and specificity of HOMA-IR>3.80 for insulin resistance provide a critical fundamental for our further efforts to improve the public health of this Hispanic population.

Advanced Electrical Machines and Machine-Based Systems for Electric and Hybrid Vehicles

Directory of Open Access Journals (Sweden)

Ming Cheng

2015-09-01

Full Text Available The paper presents a number of advanced solutions on electric machines and machine-based systems for the powertrain of electric vehicles (EVs. Two types of systems are considered, namely the drive systems designated to the EV propulsion and the power split devices utilized in the popular series-parallel hybrid electric vehicle architecture. After reviewing the main requirements for the electric drive systems, the paper illustrates advanced electric machine topologies, including a stator permanent magnet (stator-PM motor, a hybrid-excitation motor, a flux memory motor and a redundant motor structure. Then, it illustrates advanced electric drive systems, such as the magnetic-geared in-wheel drive and the integrated starter generator (ISG. Finally, three machine-based implementations of the power split devices are expounded, built up around the dual-rotor PM machine, the dual-stator PM brushless machine and the magnetic-geared dual-rotor machine. As a conclusion, the development trends in the field of electric machines and machine-based systems for EVs are summarized.

Asynchronized synchronous machines

CERN Document Server

Botvinnik, M M

1964-01-01

Asynchronized Synchronous Machines focuses on the theoretical research on asynchronized synchronous (AS) machines, which are "hybrids” of synchronous and induction machines that can operate with slip. Topics covered in this book include the initial equations; vector diagram of an AS machine; regulation in cases of deviation from the law of full compensation; parameters of the excitation system; and schematic diagram of an excitation regulator. The possible applications of AS machines and its calculations in certain cases are also discussed. This publication is beneficial for students and indiv

The impact of socio-economic status on incidence of AIDS cases in Brazilian

Directory of Open Access Journals (Sweden)

Márcia Regina Godoy

2013-12-01

Full Text Available In recent years, many researchers have devoted attention to the issue of the importance of social indicators in disease reduction. The objective of this paper is to analyze the statistical association between the reported AIDS cases and some socioeconomic variables. We analyzed a sample of 1,994 Brazilian municipalities with AIDS cases reported in 1991 and 2000. The variables analyzed are: AIDS incidence rate per capita, illiteracy rate, Gini Index, per capita income, access to electricity and television, life expectancy at birth. The approach used in this study was econometric panel data model. The results of this analysis show that socioeconomic variables are important for understanding the incidence of AIDS cases in Brazil, and are important for the design of public policies to combat the increasing incidence of HIV / AIDS, also show a distinct pattern to found in the literature for African countries.

Mortality risk prediction in burn injury: Comparison of logistic regression with machine learning approaches.

Science.gov (United States)

Stylianou, Neophytos; Akbarov, Artur; Kontopantelis, Evangelos; Buchan, Iain; Dunn, Ken W

2015-08-01

Predicting mortality from burn injury has traditionally employed logistic regression models. Alternative machine learning methods have been introduced in some areas of clinical prediction as the necessary software and computational facilities have become accessible. Here we compare logistic regression and machine learning predictions of mortality from burn. An established logistic mortality model was compared to machine learning methods (artificial neural network, support vector machine, random forests and naïve Bayes) using a population-based (England & Wales) case-cohort registry. Predictive evaluation used: area under the receiver operating characteristic curve; sensitivity; specificity; positive predictive value and Youden's index. All methods had comparable discriminatory abilities, similar sensitivities, specificities and positive predictive values. Although some machine learning methods performed marginally better than logistic regression the differences were seldom statistically significant and clinically insubstantial. Random forests were marginally better for high positive predictive value and reasonable sensitivity. Neural networks yielded slightly better prediction overall. Logistic regression gives an optimal mix of performance and interpretability. The established logistic regression model of burn mortality performs well against more complex alternatives. Clinical prediction with a small set of strong, stable, independent predictors is unlikely to gain much from machine learning outside specialist research contexts. Copyright © 2015 Elsevier Ltd and ISBI. All rights reserved.

Practical considerations for a second-order directional hearing aid microphone system

Science.gov (United States)

Thompson, Stephen C.

2003-04-01

First-order directional microphone systems for hearing aids have been available for several years. Such a system uses two microphones and has a theoretical maximum free-field directivity index (DI) of 6.0 dB. A second-order microphone system using three microphones could provide a theoretical increase in free-field DI to 9.5 dB. These theoretical maximum DI values assume that the microphones have exactly matched sensitivities at all frequencies of interest. In practice, the individual microphones in the hearing aid always have slightly different sensitivities. For the small microphone separation necessary to fit in a hearing aid, these sensitivity matching errors degrade the directivity from the theoretical values, especially at low frequencies. This paper shows that, for first-order systems the directivity degradation due to sensitivity errors is relatively small. However, for second-order systems with practical microphone sensitivity matching specifications, the directivity degradation below 1 kHz is not tolerable. A hybrid order directive system is proposed that uses first-order processing at low frequencies and second-order directive processing at higher frequencies. This hybrid system is suggested as an alternative that could provide improved directivity index in the frequency regions that are important to speech intelligibility.

Machine Shop Lathes.

Science.gov (United States)

Dunn, James

This guide, the second in a series of five machine shop curriculum manuals, was designed for use in machine shop courses in Oklahoma. The purpose of the manual is to equip students with basic knowledge and skills that will enable them to enter the machine trade at the machine-operator level. The curriculum is designed so that it can be used in…

Grau de informação, atitudes e representações sobre o risco e a prevenção de AIDS em adolescentes pobres do Rio de Janeiro, Brasil Information, attitudes, perceptions, and symbolic representations of AIDS risk and prevention among poor adolescents in Rio de Janeiro, Brazil

Directory of Open Access Journals (Sweden)

Edgar Merchán-Hamann

1995-09-01

Full Text Available Com o objetivo de avaliar a situação do adolescente brasileiro com respeito ao risco e prevenção ,da AIDS/HIV, foram entrevistados 416 estudantes, dentro do marco institucional-assistencial do Centro Brasileiro da Infância e Adolescência. Os adolescentes pertenciam a duas categorias institucionais: escolas abertas à comunidade ou instituições fechadas para menores infratores. As entrevistas semiestruturadas foram voluntárias, anônimas e sigilosas. As fontes de informação sobre AIDS/HIV mais freqüentemente identificadas foram os meios de comunicação de massa, e em particular a televisão. Os entrevistados manifestaram dúvidas e desconfiança na informação oficial mostrando uma escassa compreensão sobre certos aspectos do contágio e prevenção: quase 70% acreditam na transmissão via picada de mosquito e, em torno de 40%, em formas de contágio casual como o contato direto com ferimentos, cicatrizes e com utencílios de banheiro. Houve diferenças entre as respostas dos alunos e as das alunas, sendo que os primeiros mostraram um nível de preparo melhor ao tempo que pareciam deter maior autonomia nas iniciativas referentes à sexualidade. Atitudes de segregação e exclusão de pessoas corn AIDS persistem. A falta de prevenção foi atribuída à impossibilidade de prever que os encontros sexuais iriam a ocorrer. Os aspectos simbólicos relacionados com as causas de AIDS/HIV revelaram grande variabilidade: embora a maioria veja a doença "como qualquer outra", 80% a associam com excessos na conduta sexual e 40% com comportamento homossexual. As imagens causais variam desde um ponto de vista predominante da AIDS como "castigo injusto" (algo introduzido deliberadamente por estrangeiros a discursos menos freqüentes de culpabilização (AIDS como punição justificada por "conduta pecaminosa". Há várias metáforas referidas ao corpo: a "sujeira" (manchas escuras, feridas, tumores; o seu deterioramento irreversível; a usurpa

Aid and AIDS: a delicate cocktail

NARCIS (Netherlands)

van Dalen, H.P.; Reuser, M.

2008-01-01

Development assistance targeting health overwhelmingly concentrates on HIV/AIDS. This column argues that that focus neglects critical demographic issues and degrades health infrastructure, particularly in Sub-Saharan Africa. The prime rule for AIDS aid should be “First, do no harm”.

unusual urological presentations of hiv/aids at king edward viii hospital

African Journals Online (AJOL)

Extensive scrotal and lower abdominal Fournier's gangrene. FIG. 1. erscon showing bilateral renal abscesses. THE SOUTHEIlN AFRICAN JOUIlNAL Of HIV MEDICINE -----------HBIlUAIlY 200 I. DIAGNOSIS OF OPPORTUNISTIC INFECTIONS. DIAGNOSIS OF UTI IN AIDS. TREATMENT OF UTls. • A high index of suspicion ...

A Hybrid Least Square Support Vector Machine Model with Parameters Optimization for Stock Forecasting

Directory of Open Access Journals (Sweden)

Jian Chai

2015-01-01

Full Text Available This paper proposes an EMD-LSSVM (empirical mode decomposition least squares support vector machine model to analyze the CSI 300 index. A WD-LSSVM (wavelet denoising least squares support machine is also proposed as a benchmark to compare with the performance of EMD-LSSVM. Since parameters selection is vital to the performance of the model, different optimization methods are used, including simplex, GS (grid search, PSO (particle swarm optimization, and GA (genetic algorithm. Experimental results show that the EMD-LSSVM model with GS algorithm outperforms other methods in predicting stock market movement direction.

Exploring spatial patterns and hotspots of diarrhea in Chiang Mai, Thailand

Directory of Open Access Journals (Sweden)

Tripathi Nitin K

2009-06-01

Full Text Available Abstract Background Diarrhea is a major public health problem in Thailand. The Ministry of Public Health, Thailand, has been trying to monitor and control this disease for many years. The methodology and the results from this study could be useful for public health officers to develop a system to monitor and prevent diarrhea outbreaks. Methods The objective of this study was to analyse the epidemic outbreak patterns of diarrhea in Chiang Mai province, Northern Thailand, in terms of their geographical distributions and hotspot identification. The data of patients with diarrhea at village level and the 2001–2006 population censuses were collected to achieve the objective. Spatial analysis, using geographic information systems (GIS and other methods, was used to uncover the hidden phenomena from the data. In the data analysis section, spatial statistics such as quadrant analysis (QA, nearest neighbour analysis (NNA, and spatial autocorrelation analysis (SAA, were used to identify the spatial patterns of diarrhea in Chiang Mai province. In addition, local indicators of spatial association (LISA and kernel density (KD estimation were used to detect diarrhea hotspots using data at village level. Results The hotspot maps produced by the LISA and KD techniques showed spatial trend patterns of diarrhea diffusion. Villages in the middle and northern regions revealed higher incidences. Also, the spatial patterns of diarrhea during the years 2001 and 2006 were found to represent spatially clustered patterns, both at global and local scales. Conclusion Spatial analysis methods in GIS revealed the spatial patterns and hotspots of diarrhea in Chiang Mai province from the year 2001 to 2006. To implement specific and geographically appropriate public health risk-reduction programs, the use of such spatial analysis tools may become an integral component in the epidemiologic description, analysis, and risk assessment of diarrhea.

Differentiation of diffuse liver disease with computer-aided tissue echo quantification

International Nuclear Information System (INIS)

Cha, Joo Hee; Choi, Byung Ihm; Yun, Eun Joo; Ko, Young Hwan; Song, Chi Sung; Kim, Seung Hyup; Han, Joon Koo; Kim, Tae Kyoung; Lee, Dong Hyuk; Kim, Jong Hyo

1999-01-01

The purpose of this study was to evaluate the efficacy of computer-aided tissue echo quantification technique in the differentiation of diffuse liver diseases. Sixty-five patients with chronic liver disease including chronic hepatitis in 21 patients, fatty liver in 11, and liver cirrhosis in 33, and 55 normal volunteers were included in this study. The sonographic images by the Sono-PACS(MARO, Seoul) was recalled and the analysis was done for the hepatic parenchymal coarseness by the program using Visual C++. Difference histogram variation (DHV), edge density (ED) and intertia of concurrence matrix (ICM) were used as the coarseness index. These three indexes were statistically significant (p<0.05) in the differentiation of these four groups. The accuracy of the differentiation between any two of four groups was 83.0%. The accuracy of the differentiation of these four groups was 70.8% at the same time. The computer-aided tissue echo quantification technique is a complementary study for the differentiation of diffuse liver disease.

Modeling of MAI in UWB System Using MGGD

KAUST Repository

Ahmed, Qasim Zeeshan

2014-01-06

Multivariate generalized Gaussian density (MGGD) is used to approximate the multiple access interference (MAI) and additive white Gaussian noise in pulse-based ultrawide bandwidth (UWB) system. The MGGD probability density function (pdf) is shown to be a better approximation of a UWB system as compared to Gaussian, Laplacian and Gaussian-Laplacian mixture (GLM). The similarity between the simulated and the approximated pdf is measured with the help of modified Kullback-Leibler distance (KLD). It is also shown that MGGD has the smallest KLD as compared to Gaussian, Laplacian and GLM densities. Finally, a receiver based on the principles of minimum bit error rate is designed for the MGGD pdf.

Leptospirosis in Spanish travelers returning from Chiang Mai: A case series.

Science.gov (United States)

Rodriguez-Valero, Natalia; Moriñigo, Helena Moza; Martínez, Miguel J; Peiró, Aida; Oliveira, Ines; Bodro, Marta; Gómez-Junyent, Joan; Gascon, Joaquim; Muñoz, Jose

Leptospirosis is an important zoonosis worldwide, nevertheless is often poor recognized in non tropical settings. In Thailand is becoming an emerging disease and Chiang Mai could become a popular spot to acquire the disease amongst travelers. We describe three cases of imported leptospirosis undifferentiated fever after travelling to Thailand during the summer of 2015 diagnosed at two Spanish hospitals. Our three patients probably acquired leptospirosis while swimming in freshwater around Chiang Mai, a Thailand's northern region with moderate incidence of leptopirosis. Travelers had normal white blood cell counts and low platelets, suggesting leptospirosis after ruling out other imported diseases such as malaria, dengue or typhoid. As recent findings point out, low platelets and normal white blood cell counts are clinical features that could help the clinician to suspect Leptospirosis infection. It should be always considered as a cause of fever, particularly if travelers come from a tropical country and have had contact with water or flooding, especially during rainy season. Copyright © 2018 Elsevier Ltd. All rights reserved.

Human-competitive automatic topic indexing

CERN Document Server

Medelyan, Olena

2009-01-01

Topic indexing is the task of identifying the main topics covered by a document. These are useful for many purposes: as subject headings in libraries, as keywords in academic publications and as tags on the web. Knowing a document’s topics helps people judge its relevance quickly. However, assigning topics manually is labor intensive. This thesis shows how to generate them automatically in a way that competes with human performance. Three kinds of indexing are investigated: term assignment, a task commonly performed by librarians, who select topics from a controlled vocabulary; tagging, a popular activity of web users, who choose topics freely; and a new method of keyphrase extraction, where topics are equated to Wikipedia article names. A general two-stage algorithm is introduced that first selects candidate topics and then ranks them by significance based on their properties. These properties draw on statistical, semantic, domain-specific and encyclopedic knowledge. They are combined using a machine learn...

Mortality among foreign nationals in Chiang Mai City, Thailand, 2010 to 2011.

Science.gov (United States)

Pawun, Vichan; Visrutaratna, Surasing; Ungchusak, Kumnuan; Mahasing, Suteerat; Khumtalord, Chosita; Tipsriraj, Siriying; Chenwittaya, Chalermpol; Guadamuz, Thomas E; Wisniewski, Stephen R

2012-12-01

Up to 65% of travelers to less developed countries report health problems while traveling. International travel is an increasing concern for health practitioners. To date, there have not been any published analyses of mortality amongst foreign nationals visiting Thailand. Our objectives are to examine the magnitude and characterize the deaths among foreign nationals in Chiang Mai, a popular tourist province in Thailand. The study commenced with a review of the Thai death registration. Death certificates were retrieved, reviewed, and classified by the causes of death. Basic statistics and proportionate mortality ratio (PMR) were used to describe the pattern of deaths. Standardized mortality ratio (SMR) was used to assess the excess mortality risk among foreign nationals. Between January 1, 2010 and May 31, 2011, there were 1,295 registered deaths in Chiang Mai City, of which 102 records (7.9%) were foreign nationals. Median age of decedents was 64 years (range 14-102 y). Female-to-male ratio was 1 : 5.4. The highest mortality was among Europeans (45.1%). Most of the deaths were natural causes (89.2%) including 36 cardiac diseases (PMR = 35.3) and 20 malignancy diseases (PMR = 19.6). Deaths due to external causes were low. The SMRs range between 0.15 and 0.30. Communicable diseases and injuries were not the leading causes of death among foreign nationals visiting Chiang Mai, Thailand. It is essential that travelers are aware of mortality risk associated with their underlying diseases and that they are properly prepared to handle them while traveling. © 2012 International Society of Travel Medicine.

Machining of Machine Elements Made of Polymer Composite Materials

Science.gov (United States)

Baurova, N. I.; Makarov, K. A.

2017-12-01

The machining of the machine elements that are made of polymer composite materials (PCMs) or are repaired using them is considered. Turning, milling, and drilling are shown to be most widely used among all methods of cutting PCMs. Cutting conditions for the machining of PCMs are presented. The factors that most strongly affect the roughness parameters and the accuracy of cutting PCMs are considered.

The sesamoid index in psoriatic arthropathy

International Nuclear Information System (INIS)

Whitehouse, Richard W.; Aslam, Rizwan; Bukhari, Marwan; Groves, Clare; Cassar-Pullicino, Victor

2005-01-01

The sesamoid index was originally described as an aid to the diagnosis of acromegaly. We performed this study to assess the value of the thumb sesamoid index in the diagnosis of psoriatic arthropathy. Retrospective measurement of the sesamoid index (length x width of the medial thumb sesamoid), along with the age and sex were recorded for patients as described below. Patients with psoriasis were subdivided into those with or without radiographic evidence of hand arthropathy. Fifty-nine consecutive patients attending rheumatology clinics with arthralgia and psoriasis were studied. Comparison groups with radiographic evidence of rheumatoid arthritis (52 patients), osteoarthritis (44) or normal hands (55) were also recorded. Twenty-one of 59 patients with psoriasis and arthropathy had a sesamoid index >40, compared with two of 52 with rheumatoid arthritis, none of 44 with osteoarthritis and none of 55 normals. Psoriatic arthropathy is a recognised cause of bone enlargement, usually in the phalanges due to periostitis and proliferative enthesopathy. We have confirmed that psoriatic hand arthropathy can cause significant enlargement of the thumb sesamoids, a feature which is easily quantified and may assist diagnosis. (orig.)

The sesamoid index in psoriatic arthropathy

Energy Technology Data Exchange (ETDEWEB)

Whitehouse, Richard W.; Aslam, Rizwan [Manchester Royal Infirmary, Department of Clinical Radiology, Manchester (United Kingdom); Bukhari, Marwan [Manchester Royal Infirmary, Department of Rheumatology, Manchester (United Kingdom); Groves, Clare; Cassar-Pullicino, Victor [Agnes Hunt and Robert Jones Hospital, Department of Radiology, Oswestry (United Kingdom)

2005-04-01

The sesamoid index was originally described as an aid to the diagnosis of acromegaly. We performed this study to assess the value of the thumb sesamoid index in the diagnosis of psoriatic arthropathy. Retrospective measurement of the sesamoid index (length x width of the medial thumb sesamoid), along with the age and sex were recorded for patients as described below. Patients with psoriasis were subdivided into those with or without radiographic evidence of hand arthropathy. Fifty-nine consecutive patients attending rheumatology clinics with arthralgia and psoriasis were studied. Comparison groups with radiographic evidence of rheumatoid arthritis (52 patients), osteoarthritis (44) or normal hands (55) were also recorded. Twenty-one of 59 patients with psoriasis and arthropathy had a sesamoid index >40, compared with two of 52 with rheumatoid arthritis, none of 44 with osteoarthritis and none of 55 normals. Psoriatic arthropathy is a recognised cause of bone enlargement, usually in the phalanges due to periostitis and proliferative enthesopathy. We have confirmed that psoriatic hand arthropathy can cause significant enlargement of the thumb sesamoids, a feature which is easily quantified and may assist diagnosis. (orig.)

Index modulation for 5G wireless communications

CERN Document Server

Wen, Miaowen; Yang, Liuqing

2017-01-01

This book presents a thorough examination of index modulation, an emerging 5G modulation technique. It includes representative transmitter and receiver design, optimization, and performance analysis of index modulation in various domains. First, the basic spatial modulation system for the spatial domain is introduced. Then, the development of a generalized pre-coding aided quadrature spatial modulation system as well as a virtual spatial modulation system are presented. For the space-time domain, a range of differential spatial modulation systems are examined, along with the pre-coding design. Both basic and enhanced index modulated OFDM systems for the frequency domain are discussed, focusing on the verification of their strong capabilities in inter-carrier interference mitigation. Finally, key open problems are highlighted and future research directions are considered. Designed for researchers and professionals, this book is essential for anyone working in communications networking, 5G, and system design. A...

Improving Machining Accuracy of CNC Machines with Innovative Design Methods

Science.gov (United States)

Yemelyanov, N. V.; Yemelyanova, I. V.; Zubenko, V. L.

2018-03-01

The article considers achieving the machining accuracy of CNC machines by applying innovative methods in modelling and design of machining systems, drives and machine processes. The topological method of analysis involves visualizing the system as matrices of block graphs with a varying degree of detail between the upper and lower hierarchy levels. This approach combines the advantages of graph theory and the efficiency of decomposition methods, it also has visual clarity, which is inherent in both topological models and structural matrices, as well as the resiliency of linear algebra as part of the matrix-based research. The focus of the study is on the design of automated machine workstations, systems, machines and units, which can be broken into interrelated parts and presented as algebraic, topological and set-theoretical models. Every model can be transformed into a model of another type, and, as a result, can be interpreted as a system of linear and non-linear equations which solutions determine the system parameters. This paper analyses the dynamic parameters of the 1716PF4 machine at the stages of design and exploitation. Having researched the impact of the system dynamics on the component quality, the authors have developed a range of practical recommendations which have enabled one to reduce considerably the amplitude of relative motion, exclude some resonance zones within the spindle speed range of 0...6000 min-1 and improve machining accuracy.

Machinability of nickel based alloys using electrical discharge machining process

Science.gov (United States)

Khan, M. Adam; Gokul, A. K.; Bharani Dharan, M. P.; Jeevakarthikeyan, R. V. S.; Uthayakumar, M.; Thirumalai Kumaran, S.; Duraiselvam, M.

2018-04-01

The high temperature materials such as nickel based alloys and austenitic steel are frequently used for manufacturing critical aero engine turbine components. Literature on conventional and unconventional machining of steel materials is abundant over the past three decades. However the machining studies on superalloy is still a challenging task due to its inherent property and quality. Thus this material is difficult to be cut in conventional processes. Study on unconventional machining process for nickel alloys is focused in this proposed research. Inconel718 and Monel 400 are the two different candidate materials used for electrical discharge machining (EDM) process. Investigation is to prepare a blind hole using copper electrode of 6mm diameter. Electrical parameters are varied to produce plasma spark for diffusion process and machining time is made constant to calculate the experimental results of both the material. Influence of process parameters on tool wear mechanism and material removal are considered from the proposed experimental design. While machining the tool has prone to discharge more materials due to production of high energy plasma spark and eddy current effect. The surface morphology of the machined surface were observed with high resolution FE SEM. Fused electrode found to be a spherical structure over the machined surface as clumps. Surface roughness were also measured with surface profile using profilometer. It is confirmed that there is no deviation and precise roundness of drilling is maintained.

The achievements of the Z-machine; Les exploits de la Z-machine

Energy Technology Data Exchange (ETDEWEB)

Larousserie, D

2008-03-15

The ZR-machine that represents the latest generation of Z-pinch machines has recently begun preliminary testing before its full commissioning in Albuquerque (Usa). During its test the machine has well operated with electrical currents whose intensities of 26 million Ampere are already 2 times as high as the intensity of the operating current of the previous Z-machine. In 2006 the Z-machine reached temperatures of 2 billions Kelvin while 100 million Kelvin would be sufficient to ignite thermonuclear fusion. In fact the concept of Z-pinch machines was imagined in the fifties but the technological breakthrough that has allowed this recent success and the reborn of Z-machine, was the replacement of gas by an array of metal wires through which the electrical current flows and vaporizes it creating an imploding plasma. It is not well understood why Z-pinch machines generate far more radiation than theoretically expected. (A.C.)

Diagnostic Machine Learning Models for Acute Abdominal Pain: Towards an e-Learning Tool for Medical Students.

Science.gov (United States)

Khumrin, Piyapong; Ryan, Anna; Judd, Terry; Verspoor, Karin

2017-01-01

Computer-aided learning systems (e-learning systems) can help medical students gain more experience with diagnostic reasoning and decision making. Within this context, providing feedback that matches students' needs (i.e. personalised feedback) is both critical and challenging. In this paper, we describe the development of a machine learning model to support medical students' diagnostic decisions. Machine learning models were trained on 208 clinical cases presenting with abdominal pain, to predict five diagnoses. We assessed which of these models are likely to be most effective for use in an e-learning tool that allows students to interact with a virtual patient. The broader goal is to utilise these models to generate personalised feedback based on the specific patient information requested by students and their active diagnostic hypotheses.

Three dimensional pattern recognition using feature-based indexing and rule-based search

Science.gov (United States)

Lee, Jae-Kyu

In flexible automated manufacturing, robots can perform routine operations as well as recover from atypical events, provided that process-relevant information is available to the robot controller. Real time vision is among the most versatile sensing tools, yet the reliability of machine-based scene interpretation can be questionable. The effort described here is focused on the development of machine-based vision methods to support autonomous nuclear fuel manufacturing operations in hot cells. This thesis presents a method to efficiently recognize 3D objects from 2D images based on feature-based indexing. Object recognition is the identification of correspondences between parts of a current scene and stored views of known objects, using chains of segments or indexing vectors. To create indexed object models, characteristic model image features are extracted during preprocessing. Feature vectors representing model object contours are acquired from several points of view around each object and stored. Recognition is the process of matching stored views with features or patterns detected in a test scene. Two sets of algorithms were developed, one for preprocessing and indexed database creation, and one for pattern searching and matching during recognition. At recognition time, those indexing vectors with the highest match probability are retrieved from the model image database, using a nearest neighbor search algorithm. The nearest neighbor search predicts the best possible match candidates. Extended searches are guided by a search strategy that employs knowledge-base (KB) selection criteria. The knowledge-based system simplifies the recognition process and minimizes the number of iterations and memory usage. Novel contributions include the use of a feature-based indexing data structure together with a knowledge base. Both components improve the efficiency of the recognition process by improved structuring of the database of object features and reducing data base size

Quantum machine learning.

Science.gov (United States)

Biamonte, Jacob; Wittek, Peter; Pancotti, Nicola; Rebentrost, Patrick; Wiebe, Nathan; Lloyd, Seth

2017-09-13

Fuelled by increasing computer power and algorithmic advances, machine learning techniques have become powerful tools for finding patterns in data. Quantum systems produce atypical patterns that classical systems are thought not to produce efficiently, so it is reasonable to postulate that quantum computers may outperform classical computers on machine learning tasks. The field of quantum machine learning explores how to devise and implement quantum software that could enable machine learning that is faster than that of classical computers. Recent work has produced quantum algorithms that could act as the building blocks of machine learning programs, but the hardware and software challenges are still considerable.

Machine protection systems

CERN Document Server

Macpherson, A L

2010-01-01

A summary of the Machine Protection System of the LHC is given, with particular attention given to the outstanding issues to be addressed, rather than the successes of the machine protection system from the 2009 run. In particular, the issues of Safe Machine Parameter system, collimation and beam cleaning, the beam dump system and abort gap cleaning, injection and dump protection, and the overall machine protection program for the upcoming run are summarised.

Determining the Efficiency of Adaptation of Foreign Economic Activity of Machine-Building Enterprises in Conditions of Deepening the European Integration Process of Ukraine

Directory of Open Access Journals (Sweden)

Semeniuk Iryna Yu.

2018-02-01

Full Text Available The article determines that introduction and implementation of the mechanism for foreign economic adaptation of machine-building enterprises to the conditions of the European integration processes requires constant monitoring of the processes of export-import operations and the adaptation activities to identify current problems and avoid risks. It has been found that one of the monitoring instruments is the system of indicators, which provides to evaluate the efficiency of use of the mechanism for foreign economic adaptation of a machine-building enterprise by comparing the values of the obtained indicators after accomplishing adaptation changes with the values of the indicators of previous periods. It is suggested to determine efficiency of adaptation of foreign economic activity of machine-building enterprises to conditions of deepening of the European integration process of Ukraine by means of: index of change of volume of exported production of a machine-building enterprise to the EU countries; weighted average of the change in the share of the European market, which is covered by the enterprise’s products; indicator of efficiency of exports of production of a machine-building enterprise to the European Union countries; indicator of the index of changes in the volume of permanent orders from European partners; integral indicator of efficiency of use of adaptive potential of a machine-building enterprise in conditions of integration processes.

Preliminary Test of Upgraded Conventional Milling Machine into PC Based CNC Milling Machine

International Nuclear Information System (INIS)

Abdul Hafid

2008-01-01

CNC (Computerized Numerical Control) milling machine yields a challenge to make an innovation in the field of machining. With an action job is machining quality equivalent to CNC milling machine, the conventional milling machine ability was improved to be based on PC CNC milling machine. Mechanically and instrumentally change. As a control replacing was conducted by servo drive and proximity were used. Computer programme was constructed to give instruction into milling machine. The program structure of consists GUI model and ladder diagram. Program was put on programming systems called RTX software. The result of up-grade is computer programming and CNC instruction job. The result was beginning step and it will be continued in next time. With upgrading ability milling machine becomes user can be done safe and optimal from accident risk. By improving performance of milling machine, the user will be more working optimal and safely against accident risk. (author)

A Cooperative Approach to Virtual Machine Based Fault Injection

Energy Technology Data Exchange (ETDEWEB)

Naughton III, Thomas J [ORNL; Engelmann, Christian [ORNL; Vallee, Geoffroy R [ORNL; Aderholdt, William Ferrol [ORNL; Scott, Stephen L [Tennessee Technological University (TTU)

2017-01-01

Resilience investigations often employ fault injection (FI) tools to study the effects of simulated errors on a target system. It is important to keep the target system under test (SUT) isolated from the controlling environment in order to maintain control of the experiement. Virtual machines (VMs) have been used to aid these investigations due to the strong isolation properties of system-level virtualization. A key challenge in fault injection tools is to gain proper insight and context about the SUT. In VM-based FI tools, this challenge of target con- text is increased due to the separation between host and guest (VM). We discuss an approach to VM-based FI that leverages virtual machine introspection (VMI) methods to gain insight into the target s context running within the VM. The key to this environment is the ability to provide basic information to the FI system that can be used to create a map of the target environment. We describe a proof- of-concept implementation and a demonstration of its use to introduce simulated soft errors into an iterative solver benchmark running in user-space of a guest VM.

Breastfeeding and its relation to child nutrition in rural Chiang Mai, Thailand

NARCIS (Netherlands)

Panpanich, Ratana; Vitsupakorn, Kannika; Brabin, Bernard

2003-01-01

A cross-sectional study was conducted to evaluate current breastfeeding practices among a population in a remote rural area of Chiang Mai, Thailand. Three hundred and ninety-five women with children aged less than 36 months were studied. Mothers were interviewed and anthropometric status of children

Dermatoses em pacientes com AIDS: estudo de 55 casos. Uberlândia, MG, Brasil

Directory of Open Access Journals (Sweden)

GOMIDES MABEL DUARTE ALVES

2002-01-01

Full Text Available Foram estudados 55 pacientes com a síndrome da imunodeficiência adquirida (Aids, triados ao serviço de Dermatologia, apresentando doenças cutâneo-mucosas, algumas de caráter oportunista. As dermatoses são freqüentes nestes doentes e, às vezes, de difícil diagnóstico pelo caráter atípico das lesões. OBJETIVOS: Analisar a freqüência e apresentação clínica das dermatoses relacionadas à Aids. MÉTODOS: Cinqüenta e cinco pacientes com Aids e lesões tegumentares foram estudados, de modo transversal, no Serviço de Dermatologia da Universidade Federal de Uberlândia, de 1995 a 1997. Foram realizadas biopsias e culturas diversas para elucidação diagnóstica. RESULTADOS: Foram encontradas 116 dermatoses, com predomínio das fúngicas (78%, seguidas pelas virais (40%, eritêmato-escamosas (27%, pápulo-pruríticas (18%, causadas por drogas (10%, neoplásicas (9% e outras afecções cutâneo-mucosas (7%. A maioria dos pacientes apresentou mais de uma dermatose (67%. CONCLUSÕES: Confirmou-se a maior freqüência de dermatoses fúngicas, seguidas pelas virais, na Aids. Observou-se a necessidade de propedêutica bem elaborada para o diagnóstico preciso das dermatoses, devido à sua apresentação atípica em grande número de doentes. O exame dermatológico e a biopsia das lesões tiveram grande relevância na suspeita do diagnóstico de Aids.

Study of on-machine error identification and compensation methods for micro machine tools

International Nuclear Information System (INIS)

Wang, Shih-Ming; Yu, Han-Jen; Lee, Chun-Yi; Chiu, Hung-Sheng

2016-01-01

Micro machining plays an important role in the manufacturing of miniature products which are made of various materials with complex 3D shapes and tight machining tolerance. To further improve the accuracy of a micro machining process without increasing the manufacturing cost of a micro machine tool, an effective machining error measurement method and a software-based compensation method are essential. To avoid introducing additional errors caused by the re-installment of the workpiece, the measurement and compensation method should be on-machine conducted. In addition, because the contour of a miniature workpiece machined with a micro machining process is very tiny, the measurement method should be non-contact. By integrating the image re-constructive method, camera pixel correction, coordinate transformation, the error identification algorithm, and trajectory auto-correction method, a vision-based error measurement and compensation method that can on-machine inspect the micro machining errors and automatically generate an error-corrected numerical control (NC) program for error compensation was developed in this study. With the use of the Canny edge detection algorithm and camera pixel calibration, the edges of the contour of a machined workpiece were identified and used to re-construct the actual contour of the work piece. The actual contour was then mapped to the theoretical contour to identify the actual cutting points and compute the machining errors. With the use of a moving matching window and calculation of the similarity between the actual and theoretical contour, the errors between the actual cutting points and theoretical cutting points were calculated and used to correct the NC program. With the use of the error-corrected NC program, the accuracy of a micro machining process can be effectively improved. To prove the feasibility and effectiveness of the proposed methods, micro-milling experiments on a micro machine tool were conducted, and the results

National Machine Guarding Program: Part 1. Machine safeguarding practices in small metal fabrication businesses.

Science.gov (United States)

Parker, David L; Yamin, Samuel C; Brosseau, Lisa M; Xi, Min; Gordon, Robert; Most, Ivan G; Stanley, Rodney

2015-11-01

Metal fabrication workers experience high rates of traumatic occupational injuries. Machine operators in particular face high risks, often stemming from the absence or improper use of machine safeguarding or the failure to implement lockout procedures. The National Machine Guarding Program (NMGP) was a translational research initiative implemented in conjunction with two workers' compensation insures. Insurance safety consultants trained in machine guarding used standardized checklists to conduct a baseline inspection of machine-related hazards in 221 business. Safeguards at the point of operation were missing or inadequate on 33% of machines. Safeguards for other mechanical hazards were missing on 28% of machines. Older machines were both widely used and less likely than newer machines to be properly guarded. Lockout/tagout procedures were posted at only 9% of machine workstations. The NMGP demonstrates a need for improvement in many aspects of machine safety and lockout in small metal fabrication businesses. © 2015 The Authors. American Journal of Industrial Medicine published by Wiley Periodicals, Inc.

Non-conventional electrical machines

CERN Document Server

Rezzoug, Abderrezak

2013-01-01

The developments of electrical machines are due to the convergence of material progress, improved calculation tools, and new feeding sources. Among the many recent machines, the authors have chosen, in this first book, to relate the progress in slow speed machines, high speed machines, and superconducting machines. The first part of the book is dedicated to materials and an overview of magnetism, mechanic, and heat transfer.

13th International Conference on Computer Aided Engineering

CERN Document Server

Pietrusiak, Damian

2017-01-01

These proceedings of the 13th International Conference on Computer Aided Engineering present selected papers from the event, which was held in Polanica Zdrój, Poland, from June 22 to 25, 2016. The contributions are organized according to thematic sections on the design and manufacture of machines and technical systems; durability prediction; repairs and retrofitting of power equipment; strength and thermodynamic analyses for power equipment; design and calculation of various types of load-carrying structures; numerical methods for dimensioning materials handling; and long-distance transport equipment. The conference and its proceedings offer a major interdisciplinary forum for researchers and engineers to present the most innovative studies and advances in this dynamic field.

[A computer-aided image diagnosis and study system].

Science.gov (United States)

Li, Zhangyong; Xie, Zhengxiang

2004-08-01

The revolution in information processing, particularly the digitizing of medicine, has changed the medical study, work and management. This paper reports a method to design a system for computer-aided image diagnosis and study. Combined with some good idea of graph-text system and picture archives communicate system (PACS), the system was realized and used for "prescription through computer", "managing images" and "reading images under computer and helping the diagnosis". Also typical examples were constructed in a database and used to teach the beginners. The system was developed by the visual developing tools based on object oriented programming (OOP) and was carried into operation on the Windows 9X platform. The system possesses friendly man-machine interface.

Computer-Aided Grading of Lymphangioleiomyomatosis (LAM) using HRCT

Science.gov (United States)

Yao, Jianhua; Avila, Nilo; Dwyer, Andrew; Taveira-DaSilva, Angelo M.; Hathaway, Olanda M.; Moss, Joel

2010-01-01

Lymphangioleiomyomatosis (LAM) is a multisystem disorder associated with proliferation of smooth muscle-like cells, which leads to destruction of lung parenchyma. Subjective grading of LAM on HRCT is imprecise and can be arduous especially in cases with severe involvement. We propose a computer-aided evaluation system that grades LAM involvement based on analysis of lung texture patterns. A committee of support vector machines is employed for classification. The system was tested on 36 patients. The computer grade demonstrates good correlation with subjective radiologist grade (R=0.91, p<0.0001) and pulmonary functional tests (R=0.85, p<0.0001). The grade also provides precise progression assessment of disease over time. PMID:21625320

Assessing self-efficacy and college readiness level among new undergraduate students in computer science using metacognitive awareness inventory (MAI)

Science.gov (United States)

Othman, Wan Nor Afiqah Wan; Abdullah, Aziman

2018-04-01

This preliminary study was conducted to address the issue of academic planning skills among new university student. Due to lack of proper measurement mechanism for awareness and readiness among students, this study proposes Metacognitive Awareness Inventory (MAI) to assess the connection between student self-efficacy and college readiness. Qualitative and quantitative approach were used by provide an online self-assessment for new student of Faculty of Computer Systems & Software Engineering (FSKKP) and analyse the data respectively. The possible relationships between MAI and College Readiness Item (CRI) in self-assessment has been evaluated. The sample size of 368 respondents from UMP are responding to the online self-assessment. The initial finding shows most student (71%) of the respondent lack of skills in planning. We manage to use Pearson Product-moment correlation coefficient to find the significant relationship between MAI and CRI. Thus, we found that College Readiness provide sufficient evidence that there is a significant correlation with most of MAI items. The findings also indicated not much difference was found between gender in terms of self-efficacy level. This paper suggests the MAI and CRI is a reliable and valid scale to respond the planning skills issues among new university students.

MATHEMATICAL MODEL FOR THE STUDY AND DESIGN OF A ROTARY-VANE GAS REFRIGERATION MACHINE

Directory of Open Access Journals (Sweden)

V. V. Trandafilov

2016-08-01

Full Text Available This paper presents a mathematical model of calculating the main parameters the operating cycle, rotary-vane gas refrigerating machine that affect installation, machine control and working processes occurring in it at the specified criteria. A procedure and a graphical method for the rotary-vane gas refrigerating machine (RVGRM are proposed. A parametric study of the main geometric variables and temperature variables on the thermal behavior of the system is analyzed. The model considers polytrope index for the compression and expansion in the chamber. Graphs of the pressure and temperature in the chamber of the angle of rotation of the output shaft are received. The possibility of inclusion in the cycle regenerative heat exchanger is appreciated. The change of the coefficient of performance machine after turning the cycle regenerative heat exchanger is analyzed. It is shown that the installation of a regenerator RVGRM cycle results in increased COP more than 30%. The simulation results show that the proposed model can be used to design and optimize gas refrigerator Stirling.

Prevalence of depression among a population aged over 45 years in Chiang Mai, Thailand.

Science.gov (United States)

Wangtongkum, Suparus; Sucharitakul, Phongsakorn; Wongjaroen, Sriwanna; Maneechompoo, Suthin

2008-12-01

To determine the prevalence of depression in Thai people of 45 years and over. The presented project was a cross sectional study on the prevalence of depression and cognitive impairment in Chiang Mai. Door-to-door interview technique was assigned in condition with multistage probability random sampling to obtain subjects that represent a population of Chiang Mai. The research was conducted between October 2004 and September 2005. Data were collected on subject that were 45 years old and over. All subjects were selected from all districts in Chiang Mai. Thai Mini Mental State Examination (TMSE) and Thai Beck Depression Inventory (BDI) were used as the assessment tool If the subjects had a TMSE score less than 24 points, it was assumed as a cognitive impairment. One thousand four hundred ninety two people, 610 males and 882 females, were enrolled in the present study. Their mean age was 59.7 +/- 10.4 years (45-88 year). The prevalence of depression only was 29.2%, the prevalence of cognitive impairment only was 5.63% and the prevalence of cognitive impairment with depression was 3.96%. The prevalence of depression increased with age. The prevalence of depression in Thai people of 45 years and over was 29.2% and increased with age.

Permanences bilatérales dans l’aide au développement en Afrique subsaharienne

Directory of Open Access Journals (Sweden)

Thierry Simon

2010-12-01

Full Text Available Le continent africain vient de connaître cinquante années d’aide au développement, entamées au lendemain des indépendances. Elles se sont traduites par un empilement d’aides budgétaires massives et de programmes sectoriels variés, d’une profusion de projets et « micro-projets ». Dans cette véritable nébuleuse du développement, c’est la dynamique de l’aide bilatérale française et britannique que l’on tente de cerner ici, avec le recul de ce demi-siècle, en examinant notamment l’évolution des enveloppes spatiales dans lesquelles cette aide a été concédée et les « projets », inscrits dans un cadre national, qui ont matérialisé une partie importante de cette aide. L’aide bilatérale est toujours fragile, souvent contestée, largement remise en cause, mais elle perdure en s’adaptant et pourrait même trouver une nouvelle dynamique dans un contexte marqué par l’émergence de nouveaux acteurs bilatéraux.The African continent has just experienced fifty years of aid for development that began shortly after its different countries had obtained their own independence. This period witnessed the piling up of a formidable amount of budgetary help and various sectorial programmes, with a wealth of projects and micro-projects. Drawing on the hindsight of this last half-century, this paper attempts to focus on the process of French and British bilateral aid within the nebula of this expansion. Particular attention will be paid to the development of the territorial zones, where this financial assistance was granted and the projects that benefited from a large part of it in the context of nationwide frameworks. Bilateral aid is always vulnerable and the source of much controversy and debate. It continues to endure by adjusting to meet changing circumstances and may well find renewed vigour in the context of a background coloured by the rising of new bilateral players.

Classification of Strawberry Fruit Shape by Machine Learning

Science.gov (United States)

Ishikawa, T.; Hayashi, A.; Nagamatsu, S.; Kyutoku, Y.; Dan, I.; Wada, T.; Oku, K.; Saeki, Y.; Uto, T.; Tanabata, T.; Isobe, S.; Kochi, N.

2018-05-01

Shape is one of the most important traits of agricultural products due to its relationships with the quality, quantity, and value of the products. For strawberries, the nine types of fruit shape were defined and classified by humans based on the sampler patterns of the nine types. In this study, we tested the classification of strawberry shapes by machine learning in order to increase the accuracy of the classification, and we introduce the concept of computerization into this field. Four types of descriptors were extracted from the digital images of strawberries: (1) the Measured Values (MVs) including the length of the contour line, the area, the fruit length and width, and the fruit width/length ratio; (2) the Ellipse Similarity Index (ESI); (3) Elliptic Fourier Descriptors (EFDs), and (4) Chain Code Subtraction (CCS). We used these descriptors for the classification test along with the random forest approach, and eight of the nine shape types were classified with combinations of MVs + CCS + EFDs. CCS is a descriptor that adds human knowledge to the chain codes, and it showed higher robustness in classification than the other descriptors. Our results suggest machine learning's high ability to classify fruit shapes accurately. We will attempt to increase the classification accuracy and apply the machine learning methods to other plant species.

Advanced Machine learning Algorithm Application for Rotating Machine Health Monitoring

Energy Technology Data Exchange (ETDEWEB)

Kanemoto, Shigeru; Watanabe, Masaya [The University of Aizu, Aizuwakamatsu (Japan); Yusa, Noritaka [Tohoku University, Sendai (Japan)

2014-08-15

The present paper tries to evaluate the applicability of conventional sound analysis techniques and modern machine learning algorithms to rotating machine health monitoring. These techniques include support vector machine, deep leaning neural network, etc. The inner ring defect and misalignment anomaly sound data measured by a rotating machine mockup test facility are used to verify the above various kinds of algorithms. Although we cannot find remarkable difference of anomaly discrimination performance, some methods give us the very interesting eigen patterns corresponding to normal and abnormal states. These results will be useful for future more sensitive and robust anomaly monitoring technology.

Advanced Machine learning Algorithm Application for Rotating Machine Health Monitoring

International Nuclear Information System (INIS)

Kanemoto, Shigeru; Watanabe, Masaya; Yusa, Noritaka

2014-01-01

The present paper tries to evaluate the applicability of conventional sound analysis techniques and modern machine learning algorithms to rotating machine health monitoring. These techniques include support vector machine, deep leaning neural network, etc. The inner ring defect and misalignment anomaly sound data measured by a rotating machine mockup test facility are used to verify the above various kinds of algorithms. Although we cannot find remarkable difference of anomaly discrimination performance, some methods give us the very interesting eigen patterns corresponding to normal and abnormal states. These results will be useful for future more sensitive and robust anomaly monitoring technology

Alta prevalência de sedentarismo em adolescentes que vivem com HIV/Aids

Directory of Open Access Journals (Sweden)

Luana Fiengo Tanaka

2015-09-01

Full Text Available ResumoObjetivo:Verificar a prevalência de sedentarismo entre adolescentes com HIV/Aids e seus fatores associados.Métodos:Foram entrevistados 91 adolescentes de 10 a 19 anos, com HIV/Aids, em acompanhamento em uma unidade de infectologia universitária. Foram coletados dados antropométricos (peso, altura e circunferência da cintura em duplicata, informações clínicas foram obtidas nos prontuários médicos e a prática de atividade física habitual foi medida por meio do questionário proposto por Florindo et al. O ponto de corte para sedentarismo foi de 300 minutos/semana.Resultados:As prevalências de altura inadequada para idade, desnutrição e sobrepeso/obesidade foram de 15,4%, 9,9% e 12,1%, respectivamente. As atividades físicas mais citadas foram: futebol (44,4%, voleibol (14,4% e andar de bicicleta (7,8%. Os tempos medianos dispendidos com a prática de atividade física e caminhando/andando de bicicleta até a escola foram de 141 minutos e 39 minutos, respectivamente. A maioria dos adolescentes (71,4% era sedentária, proporção maior entre as meninas (p=0,046.Conclusões:Foi observada alta prevalência de sedentarismo entre adolescentes com HIV/Aids, prevalência essa semelhante àquela observada na população geral. Promover a prática de atividade física entre adolescentes - especialmente entre meninas - com HIV/Aids, assim como monitorá-la, deve fazer parte da rotina de acompanhamento desses pacientes.

Electrical machines & drives

CERN Document Server

Hammond, P

1985-01-01

Containing approximately 200 problems (100 worked), the text covers a wide range of topics concerning electrical machines, placing particular emphasis upon electrical-machine drive applications. The theory is concisely reviewed and focuses on features common to all machine types. The problems are arranged in order of increasing levels of complexity and discussions of the solutions are included where appropriate to illustrate the engineering implications. This second edition includes an important new chapter on mathematical and computer simulation of machine systems and revised discussions o

DNA-based machines.

Science.gov (United States)

Wang, Fuan; Willner, Bilha; Willner, Itamar

2014-01-01

The base sequence in nucleic acids encodes substantial structural and functional information into the biopolymer. This encoded information provides the basis for the tailoring and assembly of DNA machines. A DNA machine is defined as a molecular device that exhibits the following fundamental features. (1) It performs a fuel-driven mechanical process that mimics macroscopic machines. (2) The mechanical process requires an energy input, "fuel." (3) The mechanical operation is accompanied by an energy consumption process that leads to "waste products." (4) The cyclic operation of the DNA devices, involves the use of "fuel" and "anti-fuel" ingredients. A variety of DNA-based machines are described, including the construction of "tweezers," "walkers," "robots," "cranes," "transporters," "springs," "gears," and interlocked cyclic DNA structures acting as reconfigurable catenanes, rotaxanes, and rotors. Different "fuels", such as nucleic acid strands, pH (H⁺/OH⁻), metal ions, and light, are used to trigger the mechanical functions of the DNA devices. The operation of the devices in solution and on surfaces is described, and a variety of optical, electrical, and photoelectrochemical methods to follow the operations of the DNA machines are presented. We further address the possible applications of DNA machines and the future perspectives of molecular DNA devices. These include the application of DNA machines as functional structures for the construction of logic gates and computing, for the programmed organization of metallic nanoparticle structures and the control of plasmonic properties, and for controlling chemical transformations by DNA machines. We further discuss the future applications of DNA machines for intracellular sensing, controlling intracellular metabolic pathways, and the use of the functional nanostructures for drug delivery and medical applications.

Human monitoring and decision-making in man/machine systems

International Nuclear Information System (INIS)

Johannsen, G.

1979-01-01

Monitoring and decision-making together are very well characterizing the role of the human operator in highly automated systems. In this report, the analysis of human monitoring and decision-making behavior as well as its modeling are described. The goal is to present a survey. 'Classic' and optimal control theoretic monitoring models are dealt with. The relationship between attention allocation and eye movements is discussed. As an example for applications, the evaluation of predictor displays by means of the optimal control model is explained. Fault detection in continuous signals and decision-making behavior of the human operator in fault diagnosis during different operation and maintenance situations are illustrated. The computer-aided decision-making is considered as a queueing problem. It is shown to what extent computer-aiding may be based on the state of human activity as measured by psychophysiological quantities. Finally, management information systems for different application areas are mentioned. As an appendix, the report includes an English-written paper in which the possibilities of mathematical modeling of human behavior in complex man-machine systems are critically assessed. (orig.) 891 GL/orig. 892 MKO [de

AID SELECTIVITY PRACTICE AND AID EFFECTIVENESS IN SUB-SAHARAN AFRICA

Directory of Open Access Journals (Sweden)

Adeniyi Jimmy Adedokun

2017-09-01

Full Text Available Foreign aid strategies have undergone restructuring as donors adopt aid selectivity practice to improve aid effectiveness. This study investigates the impact of aid selectivity practice on aid effectiveness (aid-growth relationship in Sub-Saharan Africa (SSA and several groups of countries within SSA from 1980 to 2012. Employing system generalized methods of moments (system GMM technique; the study produces strong evidence that there is significant improvement in aid effectiveness due to aid selectivity practice.

Foreign aid

DEFF Research Database (Denmark)

Tarp, Finn

2008-01-01

Foreign aid has evolved significantly since the Second World War in response to a dramatically changing global political and economic context. This article (a) reviews this process and associated trends in the volume and distribution of foreign aid; (b) reviews the goals, principles and instituti......Foreign aid has evolved significantly since the Second World War in response to a dramatically changing global political and economic context. This article (a) reviews this process and associated trends in the volume and distribution of foreign aid; (b) reviews the goals, principles...... and institutions of the aid system; and (c) discusses whether aid has been effective. While much of the original optimism about the impact of foreign aid needed modification, there is solid evidence that aid has indeed helped further growth and poverty reduction...

Análise sociodemográfica da epidemia de Aids no Brasil, 1989-1997

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Maria Goretti Pereira Fonseca

2002-12-01

Full Text Available OBJETIVO: Descrever a evolução temporal da epidemia de Aids, no nível individual, sob a perspectiva de variáveis sociodemográficas e comportamentais, com ênfase na escolaridade. MÉTODOS: Foram analisados os casos de Aids de 20 a 69 anos de idade, notificados ao Sistema de Informação de Agravos de Notificação do Ministério da Saúde e diagnosticados entre 1989 e 1997, com diferença maior que sete dias entre as datas de óbito e de diagnóstico. Foram considerados três graus de escolaridade: "grau I" (com até 8 anos de estudo, "grau II" (com mais de 8 anos de estudo e "ignorado". Para cada sexo, foi analisada a evolução temporal da distribuição dos casos por grau de escolaridade, região, tamanho populacional do município e categoria de exposição. Foi utilizado um modelo logístico multivariado para avaliar o efeito conjunto dessas variáveis. RESULTADOS: O grau de escolaridade foi "ignorado" em 22% dos casos. Entre os casos com escolaridade informada, percentuais mais elevados de "grau I" foram observados no sexo feminino, nas regiões Sudeste e Sul, nos municípios com menos de 500 mil habitantes e nas categorias de exposição "heterossexual" e "uso de drogas injetáveis". Observou-se uma redução gradativa do percentual de casos com maior escolaridade ao longo dos anos analisados para ambos os sexos e em todas as variáveis analisadas, menos pronunciado na categoria de exposição "homo/bissexual". CONCLUSÕES: A epidemia de Aids no Brasil teve início nos estratos sociais de maior escolaridade e depois se expandiu entre as populações com menor escolaridade, principalmente do sexo feminino, residentes em municípios de menor população e por meio das exposições heterossexuais e do uso de drogas injetáveis.

Induction machine handbook

CERN Document Server

Boldea, Ion

2002-01-01

Often called the workhorse of industry, the advent of power electronics and advances in digital control are transforming the induction motor into the racehorse of industrial motion control. Now, the classic texts on induction machines are nearly three decades old, while more recent books on electric motors lack the necessary depth and detail on induction machines.The Induction Machine Handbook fills industry's long-standing need for a comprehensive treatise embracing the many intricate facets of induction machine analysis and design. Moving gradually from simple to complex and from standard to

Chaotic Boltzmann machines

Science.gov (United States)

Suzuki, Hideyuki; Imura, Jun-ichi; Horio, Yoshihiko; Aihara, Kazuyuki

2013-01-01

The chaotic Boltzmann machine proposed in this paper is a chaotic pseudo-billiard system that works as a Boltzmann machine. Chaotic Boltzmann machines are shown numerically to have computing abilities comparable to conventional (stochastic) Boltzmann machines. Since no randomness is required, efficient hardware implementation is expected. Moreover, the ferromagnetic phase transition of the Ising model is shown to be characterised by the largest Lyapunov exponent of the proposed system. In general, a method to relate probabilistic models to nonlinear dynamics by derandomising Gibbs sampling is presented. PMID:23558425

Rotating electrical machines

CERN Document Server

Le Doeuff, René

2013-01-01

In this book a general matrix-based approach to modeling electrical machines is promulgated. The model uses instantaneous quantities for key variables and enables the user to easily take into account associations between rotating machines and static converters (such as in variable speed drives).   General equations of electromechanical energy conversion are established early in the treatment of the topic and then applied to synchronous, induction and DC machines. The primary characteristics of these machines are established for steady state behavior as well as for variable speed scenarios. I

Hardware and software and machine-tool simulation with parallel structures mechanisms

Directory of Open Access Journals (Sweden)

Keba P.V.

2016-12-01

Full Text Available The usage spectrum of mechanisms with parallel structure is spreading all the time. The mechanisms of machine-tools and manipulators become more complicated and it is necessary to improve the program-controlled modules. Closed circuit mechanisms are mostly spread in robotic complexes, where manipulator performs complicated spatial movements by the given trajectory. The usage spectrum is very wide and the most popular are sorting, welding, assembling and others. However, the problem of designing the operating programs is still present even today. It is just because the developed post-processors are created for the equipment that we have for now. But new machine tool constructions appear every day and there is a necessity to control them. The problems associated with using of hardware and software of mechanisms with parallel structure in computer-aided simulation are considered. The program for inverse problem kinematics solving is designed. New method of designing the control programs is found. The kinematic analysis methods options and calculated data obtained by computer mathematics systems are shown with «Tools Glide» software taken as an example.

Machine Learning

CERN Multimedia

CERN. Geneva

2017-01-01

Machine learning, which builds on ideas in computer science, statistics, and optimization, focuses on developing algorithms to identify patterns and regularities in data, and using these learned patterns to make predictions on new observations. Boosted by its industrial and commercial applications, the field of machine learning is quickly evolving and expanding. Recent advances have seen great success in the realms of computer vision, natural language processing, and broadly in data science. Many of these techniques have already been applied in particle physics, for instance for particle identification, detector monitoring, and the optimization of computer resources. Modern machine learning approaches, such as deep learning, are only just beginning to be applied to the analysis of High Energy Physics data to approach more and more complex problems. These classes will review the framework behind machine learning and discuss recent developments in the field.

Optimization process planning using hybrid genetic algorithm and intelligent search for job shop machining.

Science.gov (United States)

Salehi, Mojtaba; Bahreininejad, Ardeshir

2011-08-01

Optimization of process planning is considered as the key technology for computer-aided process planning which is a rather complex and difficult procedure. A good process plan of a part is built up based on two elements: (1) the optimized sequence of the operations of the part; and (2) the optimized selection of the machine, cutting tool and Tool Access Direction (TAD) for each operation. In the present work, the process planning is divided into preliminary planning, and secondary/detailed planning. In the preliminary stage, based on the analysis of order and clustering constraints as a compulsive constraint aggregation in operation sequencing and using an intelligent searching strategy, the feasible sequences are generated. Then, in the detailed planning stage, using the genetic algorithm which prunes the initial feasible sequences, the optimized operation sequence and the optimized selection of the machine, cutting tool and TAD for each operation based on optimization constraints as an additive constraint aggregation are obtained. The main contribution of this work is the optimization of sequence of the operations of the part, and optimization of machine selection, cutting tool and TAD for each operation using the intelligent search and genetic algorithm simultaneously.

Investigation of the Machining Stability of a Milling Machine with Hybrid Guideway Systems

Directory of Open Access Journals (Sweden)

Jui-Pin Hung

2016-03-01

Full Text Available This study was aimed to investigate the machining stability of a horizontal milling machine with hybrid guideway systems by finite element method. To this purpose, we first created finite element model of the milling machine with the introduction of the contact stiffness defined at the sliding and rolling interfaces, respectively. Also, the motorized built-in spindle model was created and implemented in the whole machine model. Results of finite element simulations reveal that linear guides with different preloads greatly affect the dynamic responses and machining stability of the horizontal milling machine. The critical cutting depth predicted at the vibration mode associated with the machine tool structure is about 10 mm and 25 mm in the X and Y direction, respectively, while the cutting depth predicted at the vibration mode associated with the spindle structure is about 6.0 mm. Also, the machining stability can be increased when the preload of linear roller guides of the feeding mechanism is changed from lower to higher amount.

New machine learning tools for predictive vegetation mapping after climate change: Bagging and Random Forest perform better than Regression Tree Analysis

Science.gov (United States)

L.R. Iverson; A.M. Prasad; A. Liaw

2004-01-01

More and better machine learning tools are becoming available for landscape ecologists to aid in understanding species-environment relationships and to map probable species occurrence now and potentially into the future. To thal end, we evaluated three statistical models: Regression Tree Analybib (RTA), Bagging Trees (BT) and Random Forest (RF) for their utility in...

Introduction to AC machine design

CERN Document Server

Lipo, Thomas A

2018-01-01

AC electrical machine design is a key skill set for developing competitive electric motors and generators for applications in industry, aerospace, and defense. This book presents a thorough treatment of AC machine design, starting from basic electromagnetic principles and continuing through the various design aspects of an induction machine. Introduction to AC Machine Design includes one chapter each on the design of permanent magnet machines, synchronous machines, and thermal design. It also offers a basic treatment of the use of finite elements to compute the magnetic field within a machine without interfering with the initial comprehension of the core subject matter. Based on the author's notes, as well as after years of classroom instruction, Introduction to AC Machine Design: * Brings to light more advanced principles of machine design--not just the basic principles of AC and DC machine behavior * Introduces electrical machine design to neophytes while also being a resource for experienced designers * ...

Precision machining commercialization

International Nuclear Information System (INIS)

1978-01-01

To accelerate precision machining development so as to realize more of the potential savings within the next few years of known Department of Defense (DOD) part procurement, the Air Force Materials Laboratory (AFML) is sponsoring the Precision Machining Commercialization Project (PMC). PMC is part of the Tri-Service Precision Machine Tool Program of the DOD Manufacturing Technology Five-Year Plan. The technical resources supporting PMC are provided under sponsorship of the Department of Energy (DOE). The goal of PMC is to minimize precision machining development time and cost risk for interested vendors. PMC will do this by making available the high precision machining technology as developed in two DOE contractor facilities, the Lawrence Livermore Laboratory of the University of California and the Union Carbide Corporation, Nuclear Division, Y-12 Plant, at Oak Ridge, Tennessee

2018-05-11T19:26:48Z https://www.ajol.info/index.php/all/oai oai:ojs ...

African Journals Online (AJOL)

2018-05-11T19:26:48Z https://www.ajol.info/index.php/all/oai ... standards and confidentiality of HIV/AIDS status in the workplace — a South African case ... Article application/pdf https://www.ajol.info/index.php/ajar/article/view/7294 African ...

Metionina mais cistina digestível e relação metionina mais cistina digestível: lisina para codornas japonesas Digestible methionine plus cystine and relation digestible methionine plus cystine: lysine for japanese quails

Directory of Open Access Journals (Sweden)

Julio Francisco Valiati Marin

2011-09-01

Full Text Available Objetivou-se determinar o melhor nível de metionina mais cistina digestível e a melhor relação metionina mais cistina digestível:lisina digestível em diferentes níveis de proteína para codorna em postura. Foram utilizadas 400 codornas japonesas produtoras de ovos de consumo com 45 dias de idade, em delineamento inteiramente casualizado, num esquema fatorial 2 x 5, dois níveis de proteína bruta (19,5% e 21,5% e cinco níveis de metionina mais cistina digestível (0,60%; 0,67%; 0,74%; 0,81% e 0,88%, com cinco repetições e oito aves por unidade experimental. Foram analisadas as taxas de postura (%, peso médio dos ovos (g, massa de ovos (g de ovos/ave/dia, consumo de ração (g/ave/dia, conversão alimentar (g de ração/g de ovos, peso e porcentagem de gema (g e %, peso e porcentagem de clara (g e % e peso e porcentagem de casca (g e %. Para o nível de 19,5% de proteína 0,60% de metionina mais cistina digestível e relação metionina mais cistina digestível:lisina digestível de 0,66% foram suficientes para otimizar a produção. Para o nível de 21,5% de proteína 0,851% de metionina mais cistina digestível com relação metionina mais cistina digestível:lisina digestível de 0,935% com consumo diário de 223,3mg/ave levou a uma melhor produção de ovos de codornas.This research had the purpose to determine the best level of digestible methionine plus cystine and the best relation of digestible methionine plus cystine:digestible lysine in different levels of protein for laying Japanese quails. 400 laying Japanese quails, with 45 days of age were used in a completely randomized design, with a factorial 2 x 5, two crude protein levels (19,5% and 21,5% and five levels of digestible methionine plus cystine (0,60%; 0,67%; 0,74%; 0,81% e 0,88%, with five replicates and eight quails per experimental unity. There were analysis of the posture rate (%, egg average weight (g egg mass (egg grams/bird/day, feed intake (g/bird/day, feed

Are there intelligent Turing machines?

OpenAIRE

Bátfai, Norbert

2015-01-01

This paper introduces a new computing model based on the cooperation among Turing machines called orchestrated machines. Like universal Turing machines, orchestrated machines are also designed to simulate Turing machines but they can also modify the original operation of the included Turing machines to create a new layer of some kind of collective behavior. Using this new model we can define some interested notions related to cooperation ability of Turing machines such as the intelligence quo...

Miks on Savisaar ja proua Bush Birma kallal / Mai Loog

Index Scriptorium Estoniae

Loog, Mai, 1960-

2007-01-01

Ilmunud ka: Postimees : na russkom jazõke 29. mai lk. 7. Birma sõjaväeline valitsus otsustas taas pikendada aasta võrra Nobeli rahupreemia laureaadi ja demokraatliku opositsiooni liidri Aung San Suu Kyi 11-aastast koduaresti, mille vastu astusid välja USA senaatorid presidendiproua Laura Bushi juhtimisel kui ka Tallinna linnapea Edgar Savisaar koos Pariisi ja Rooma linnapeadega. Birma hunta plaanitavast konstitutsioonist, kus aatomienergia on pandud riigikaitse ja julgeoleku alla. Venemaa aatomienergia agentuuri Rosatomi lepingust Birma huntaga aatomienergia tootmiseks

Proceedings of the 13th international symposium on laser-aided plasma diagnostics

International Nuclear Information System (INIS)

Kawahata, Kazuo

2007-09-01

The 9th international symposium on LASER-AIDED PLASMA DIAGNOSTICS was held from 18th November to 21st September, 2007 at Takayama, Japan. This symposium was organized by the National Institute for Fusion Science, Toki, Japan. The topics of the symposium include laser diagnostics and diagnostics aided by lasers for fusion plasmas, industrial process plasmas, environmental plasmas as well as for other plasma applications and processes related to plasmas. Hardware development related to laser-aided plasma diagnostics is another topic. Over 80 participants attended this international symposium. 1 Akazaki lecture, 10 general talks, 10 topical talks, 12 short oral talks and 45 posters were presented. This issue is the collection of the papers presented at the title symposium. The 41 of the presented papers are indexed individually. (J.P.N.)

Educational aids

International Nuclear Information System (INIS)

Lenkeit, S.

1989-01-01

Educational aids include printed matter, aural media, visual media, audiovisual media and objects. A distinction is made between learning aids, which include blackboards, overhead projectors, flipcharts, wallcharts and pinboards, and learning aids, which include textbooks, worksheets, documentation and experimental equipment. The various aids are described and their use explained. The aids available at the School for Nuclear Technology of the Karlsruhe Nuclear Research Centre are described

Coldness production and heat revalorization: particular machines; Production de froid et revalorisation de la chaleur: machines particulieres

Energy Technology Data Exchange (ETDEWEB)

Feidt, M. [Universite Henri Poincare - Nancy-1, 54 - Nancy (France)

2003-10-01

The machines presented in this article are not the common reverse cycle machines. They use some systems based on different physical principles which have some consequences on the analysis of cycles: 1 - permanent gas machines (thermal separators, pulse gas tube, thermal-acoustic machines); 2 - phase change machines (mechanical vapor compression machines, absorption machines, ejection machines, adsorption machines); 3 - thermoelectric machines (thermoelectric effects, thermodynamic model of a thermoelectric machine). (J.S.)

Avaliação da estrutura organizacional da assistência ambulatorial em HIV/Aids no Brasil Evaluation of the organizational structure of HIV/AIDS outpatient care in Brazil

Directory of Open Access Journals (Sweden)

Regina Melchior

2006-02-01

Full Text Available OBJETIVO: No contexto de acesso universal à terapia antiretroviral, os resultados do Programa de Aids dependem da qualidade do cuidado prestado. O objetivo do estudo foi avaliar a qualidade do cuidado dos serviços ambulatoriais que assistem pacientes de Aids. MÉTODOS: Estudo realizado em sete Estados brasileiros, em 2001 e 2002. Foi avaliada a qualidade do atendimento a pacientes com Aids quanto à disponibilidade de recursos e a organização do trabalho de assistência. Um questionário com 112 questões estruturadas abordando esses aspectos, foi enviado a 336 serviços. RESULTADOS: A taxa de resposta foi de 95,8% (322. Os indicadores de disponibilidade de recursos mostram uma adequação maior do que os indicadores de organização do trabalho. Não faltam antiretrovirais em 95,5% dos serviços, os exames de CD4 e Carga Viral estão disponíveis em quantidade adequada em 59 e 41% dos serviços, respectivamente. Em 90,4% dos serviços há pelo menos um profissional não médico (psicólogo, enfermeiro ou assistente social. Quanto à organização, 80% não agendavam consulta médica com hora marcada; 40,4% agendavam mais que 10 consultas médicas por período; 17% não possuíam gerentes exclusivos na assistência e 68,6% não realizavam reuniões sistemáticas de trabalho com a equipe. CONCLUSÕES: Os resultados apontam que além de garantir a distribuição mais homogênea de recursos, o programa precisa investir no treinamento e disseminação do manejo do cuidado, conforme evidenciado nos resultados da organização de trabalho.OBJECTIVE: In the context of universal access to antiretroviral treatment, the results of the Brazilian AIDS Program will depend on the quality of the care provided. The aim of the present study was to evaluate the healthcare provided by outpatient services for the treatment of AIDS patients. METHODS: The present study was carried out in seven Brazilian States between 2001 and 2002. We evaluated the quality of

National machine guarding program: Part 1. Machine safeguarding practices in small metal fabrication businesses

Science.gov (United States)

Yamin, Samuel C.; Brosseau, Lisa M.; Xi, Min; Gordon, Robert; Most, Ivan G.; Stanley, Rodney

2015-01-01

Background Metal fabrication workers experience high rates of traumatic occupational injuries. Machine operators in particular face high risks, often stemming from the absence or improper use of machine safeguarding or the failure to implement lockout procedures. Methods The National Machine Guarding Program (NMGP) was a translational research initiative implemented in conjunction with two workers' compensation insures. Insurance safety consultants trained in machine guarding used standardized checklists to conduct a baseline inspection of machine‐related hazards in 221 business. Results Safeguards at the point of operation were missing or inadequate on 33% of machines. Safeguards for other mechanical hazards were missing on 28% of machines. Older machines were both widely used and less likely than newer machines to be properly guarded. Lockout/tagout procedures were posted at only 9% of machine workstations. Conclusions The NMGP demonstrates a need for improvement in many aspects of machine safety and lockout in small metal fabrication businesses. Am. J. Ind. Med. 58:1174–1183, 2015. © 2015 The Authors. American Journal of Industrial Medicine published by Wiley Periodicals, Inc. PMID:26332060

‘Machinic Trajectories’: Appropriated Devices as Post-Digital Drawing Machines

Directory of Open Access Journals (Sweden)

Andres Wanner

2014-12-01

Full Text Available This article presents a series of works called Machinic Trajectories, consisting of domestic devices appropriated as mechanical drawing machines. These are contextualized within the post-digital discourse, which integrates messy analog conditions into the digital realm. The role of eliciting and examining glitches for investigating a technology is pointed out. Glitches are defined as short-lived, unpremeditated aesthetic results of a failure; they are mostly known as digital phenomena, but I argue that the concept is equally applicable to the output of mechanical machines. Three drawing machines will be presented: The Opener, The Mixer and The Ventilator. In analyzing their drawings, emergent patterns consisting of unpremeditated visual artifacts will be identified and connected to irregularities of the specific technologies. Several other artists who work with mechanical and robotic drawing machines are introduced, to situate the presented works and reflections in a larger context of practice and to investigate how glitch concepts are applicable to such mechanical systems. 

AID SELECTIVITY PRACTICE AND AID EFFECTIVENESS IN SUB-SAHARAN AFRICA

OpenAIRE

Adedokun, Adeniyi Jimmy; Abiodun O. Folawewo, Abiodun O.

2017-01-01

Foreign aid strategies have undergone restructuring as donors adopt aid selectivity practice to improve aid effectiveness. This study investigates the impact of aid selectivity practice on aid effectiveness (aid-growth relationship) in Sub-Saharan Africa (SSA) and several groups of countries within SSA from 1980 to 2012. Employing system generalized methods of moments (system GMM) technique; the study produces strong evidence that there is significant improvement in aid effectiveness due to a...

Translating DVD Subtitles English-German, English-Japanese, Using Example-based Machine Translation

DEFF Research Database (Denmark)

Armstrong, Stephen; Caffrey, Colm; Flanagan, Marian

2006-01-01

Due to limited budgets and an ever-diminishing time-frame for the production of subtitles for movies released in cinema and DVD, there is a compelling case for a technology-based translation solution for subtitles. In this paper we describe how an Example-Based Machine Translation (EBMT) approach...... to the translation of English DVD subtitles into German and Japanese can aid the subtitler. Our research focuses on an EBMT tool that produces fully automated translations, which in turn can be edited if required. To our knowledge this is the first time that any EBMT approach has been used with DVD subtitle...

Estudo comparativo do LCR de pacientes com neurocriptococose sem AIDS e com AIDS Comparison between CSF samples from AIDS and non-AIDS patients with neurocryptococcosis

Directory of Open Access Journals (Sweden)

João Baptista dos Reis-Filho

1994-06-01

Full Text Available Até a década de 80, antes do surgimento da AIDS, a criptococose era relativamente rara. Verificou-se que esta doença afeta muito frequentemente os pacientes com AIDS e pode ser a primeira manifestação desta síndrome. O objetivo deste trabalho é o de comparar o resultado dos exames das amostras do LCR inicial na meningencefalite por criptococo entre pacientes com e sem AIDS. Este trabalho é baseado no estudo de 41 pacientes com neurocriptococose sem AIDS e de 23 pacientes com neurocriptococose e AIDS. Este estudo permitiu verificar que a reação inflamatória, no sistema nervoso, quando presente, foi de menor intensidade nos pacientes com AIDS; a reação inflamatória esteve presente em todos os pacientes sem AIDS e ausente em 21,7% dos pacientes com AIDS; o quadro inflamatório crônico, semelhante ao da meningencefalite tuberculosa, clássico nas meningencefalites por criptococo, ocorreu raramente nos pacientes com AIDS; em média, o número de criptococos no LCR foi maior nos pacientes com AIDS; pode ser feito diagnóstico presuntivo da AIDS quando o criptococo estiver presente no LCR que não apresenta alterações citológicas e bioquímicas.Neurocryptococcosis was a rare nervous system infection. With the rising number of patients with AIDS it became a very frequent disease. This infection is supposed to infect patients with some kind of immunodeficiency and the CSF alterations often simulate tuberculous meningitis. The purpose of this research was to compare the CSF changes in AIDS and non-AIDS patients with meningoencephalitis caused by Cr. neoformans. There were analysed 41 CSF samples from non-AIDS patients with neurocryptococcosis and 23 CSF samples from AIDS patients with neurocryptococcosis. The results of this research allowed to conclude that the inflammatory changes in the CSF from AIDS patients showed a lower intensity compared to those non-AIDS patients. These results showed as well, that the CSF samples from non-AIDS

Fatores associados à subnotificação de pacientes com Aids, no Rio de Janeiro, RJ, 1996 Variables associated with underreporting of AIDS patients, Brazil, 1996

Directory of Open Access Journals (Sweden)

Vanja MB Ferreira

2000-04-01

Full Text Available OBJETIVO: Existe uma expressiva subnotificação de casos de Aids no Município do Rio de Janeiro, RJ. Nesse sentido, foi realizado estudo com o objetivo de analisar os fatores associados a esse evento. MÉTODOS: Com base em dados do Sistema de Informações Hospitalares do Sistema Único de Saúde, referentes ao ano de 1996 e ao Município do Rio de Janeiro, e do Sistema de Informações sobre Agravos de Notificação, atualizado até setembro de 1997, selecionou-se uma amostra aleatória de prontuários, pela qual os pacientes foram classificados em notificados, não notificados e sem evidência para notificação. Foi utilizado um modelo multinomial para a análise das chances de ocorrência de subnotificação versus notificação e não-notificação sem evidência de diagnóstico de Aids versus notificação. RESULTADOS: Não foram encontradas associações estatisticamente significativas entre as variáveis "idade", "estado civil", "escolaridade", "ocupação" e "gravidade da doença" e subnotificação de casos de Aids. A variável "sexo feminino" apresentou forte associação com as internações por procedimento Aids sem evidências para `fechar caso' dessa doença. Foi encontrada associação bastante expressiva entre ter sido internado no mesmo hospital mais de uma vez e estar notificado. A presença de um setor de vigilância epidemiológica no hospital esteve inversamente associada à subnotificação de casos de Aids. CONCLUSÕES: Os resultados mostraram que a associação significativa entre variáveis organizacionais e estruturais e subnotificação de casos de AIDS apontam para a necessidade de normatização de processos e fluxos, a fim de melhorar a qualidade do sistema de informações em saúde.OBJECTIVE: The underreporting of AIDS cases in the municipality of Rio de Janeiro, Brazil, is significant. The study intends to analyze the factors associated to this event. METHODS: Using data provided by the Hospital Information

Machine Learning in Medical Imaging.

Science.gov (United States)

Giger, Maryellen L

2018-03-01

Advances in both imaging and computers have synergistically led to a rapid rise in the potential use of artificial intelligence in various radiological imaging tasks, such as risk assessment, detection, diagnosis, prognosis, and therapy response, as well as in multi-omics disease discovery. A brief overview of the field is given here, allowing the reader to recognize the terminology, the various subfields, and components of machine learning, as well as the clinical potential. Radiomics, an expansion of computer-aided diagnosis, has been defined as the conversion of images to minable data. The ultimate benefit of quantitative radiomics is to (1) yield predictive image-based phenotypes of disease for precision medicine or (2) yield quantitative image-based phenotypes for data mining with other -omics for discovery (ie, imaging genomics). For deep learning in radiology to succeed, note that well-annotated large data sets are needed since deep networks are complex, computer software and hardware are evolving constantly, and subtle differences in disease states are more difficult to perceive than differences in everyday objects. In the future, machine learning in radiology is expected to have a substantial clinical impact with imaging examinations being routinely obtained in clinical practice, providing an opportunity to improve decision support in medical image interpretation. The term of note is decision support, indicating that computers will augment human decision making, making it more effective and efficient. The clinical impact of having computers in the routine clinical practice may allow radiologists to further integrate their knowledge with their clinical colleagues in other medical specialties and allow for precision medicine. Copyright © 2018. Published by Elsevier Inc.

Aid Effectiveness

DEFF Research Database (Denmark)

Arndt, Channing; Jones, Edward Samuel; Tarp, Finn

of the main relationships; (ii) estimating the impact of aid on a range of final and intermediate outcomes; and (iii) quantifying a simplied representation of the full structural form, where aid impacts on growth through key intermediate outcomes. A coherent picture emerges: aid stimulates growth and reduces......Controversy over the aggregate impact of foreign aid has focused on reduced form estimates of the aid-growth link. The causal chain, through which aid affects developmental outcomes including growth, has received much less attention. We address this gap by: (i) specifying a structural model...... poverty through physical capital investment and improvements in health....

An index for staging facial lipoatrophy and evaluation of the efficacy of the treatment with polymethylmethacrylate in HIV/AIDS patients: a pilot study.

Science.gov (United States)

Serra, M S; Oyafuso, L K; Trope, B M; Munhoz Leite, O H; Ramos-e-Silva, M

2013-08-01

Treatment of facial lipoatrophy of HIV/AIDS patients is mandatory by law in Brazil due to its negative impact on their quality of life. The index for facial lipoatrophy (ILA) is used as one of the inclusion criteria for patient treatment. To define a correct diagnosis and staging of facial lipoatrophy, by employing the ILA. This is an observational study of a series of case reports from patients submitted to facial lipoatrophy evaluation through ILA and treated with polymethylmethacrylate (PMMA) fillers. Facial lipoatrophy was classified in grades from I to IV, corresponding to mild, moderate, severe and very severe stage, according to ILA. Response to the treatment was defined as excellent (≥ 91%), good (71-90%), moderate (51-70%) and insufficient (≤ 50%). A total of 20 patients were included in this study: 18 men and two women. Median age was 49 years (35-61) and average ILA was 9.9 (7.2-16.8). Ten patients presented facial lipoatrophy grade II (moderate), 5 grade III (severe) and 5 grade IV (very severe). The average volume of PMMA used was 13 mL (5.5-22 mL). All patients showed good or excellent response, with a median of 86% (74-100%). The most typical adverse effect was local oedema but there were no late adverse effects. The ILA is an excellent method for evaluation of facial lipoatrophy and also for the assessment of the response to therapy. Facial filling with PMMA showed efficacy and safety in the treatment of facial lipoatrophy in HIV/AIDS patients. © 2012 The Authors. Journal of the European Academy of Dermatology and Venereology © 2012 European Academy of Dermatology and Venereology.

Conservation Priority Index for Estuarine Fish (COPIEF)

Science.gov (United States)

Branco, Paulo; Costa, José Lino; Raposo de Almeida, Pedro

2008-12-01

Public awareness regarding environmental issues has increased in recent decades. The increasing number of impact assessment studies, management and conservation plans, as well as ecological monitoring studies, demand new and more efficient techniques. Indices are an important tool to aid biologists in these studies and should allow an easier comprehension of the data by managers, decision-makers and the general public. This study presents the first multi-metrical index able to establish a hierarchical ordination of the conservation priority of the estuarine fish species using 72 species from 16 estuarine systems (W and S coasts of Portugal). The index is composed of 10 metrics, comprising species life traits, distribution and population trends. The information needed to score each metric was gathered from the published literature and the index validation was done by external means. This methodology allowed the definition of those fish species most in need of conservation planning, and those less prone to extinction in Portuguese estuarine systems. The proposed index fills a gap in our knowledge and provides a useful tool to the scientific community and to the decision-makers, being a breakthrough in the field of conservation planning of estuarine fish species.

Major Chronic Respiratory Diseases in Chiang Mai: Prevalence, Clinical Characteristics, and Their Correlations.

Science.gov (United States)

Pothirat, Chaicharn; Phetsuk, Nittaya; Liwsrisakun, Chalerm; Bumroongkit, Chaiwat; Deesomchok, Athavudh; Theerakittikul, Theerakorn

2016-09-01

To identify the prevalence, clinical characteristics, disease severity, and correlations of major chronic respiratory diseases (CRDs) among the adult population living in Chiang Mai. A cross-sectional study was conducted with adults living in municipal areas of Chiang Mai. All clinical relevant data collected by face-to-face interview was confirmed by pulmonologists. The chest radiographic findings and post-bronchodilator spirometry were done in all subjects. The aeroallergen skin test and rhinoscopy were performed in all chronic rhinitis and asthma subjects. Five hundred seventy four subjects with mean age 52.9±10.0 years, 59.6% female, and 37.5% smokers were recruited. The prevalence of overall CRDs was 59.2%. Chronic rhinitis was the most prevalent chronic respiratory disease (n = 239, 41.6%), followed by asthma (n = 58, 10.1%), and chronic obstructive pulmonary disease (COPD) (n = 21, 3.7%). The most common abnormal pulmonary function test was restrictive lung disorders (n = 53, 9.6%). Asthma subjects were determined to be more allergic than chronic rhinitis subjects (58.1% vs. 39.9%, p-value = 0.033). Regarding the disease severity, 14.9% of chronic rhinitis and 10.3% of asthma subjects were classified as moderate to severe degree, whereas 81% of chronic obstructive pulmonary disease subjects were classified as moderate to very severe degrees. In asthma patients, there were positive association with chronic rhinitis (OR 3.9, 95% CI 2.1-7.0, p-value Chiang Mai population was significantly high with overlapped respiratory symptoms and varying disease severity. Additionally, chronic rhinitis had correlation with asthma but not with COPD.

Self-Improving CNC Milling Machine

OpenAIRE

Spilling, Torjus

2014-01-01

This thesis is a study of the ability of a CNC milling machine to create parts for itself, and an evaluation of whether or not the machine is able to improve itself by creating new machine parts. This will be explored by using off-the-shelf parts to build an initial machine, using 3D printing/rapid prototyping to create any special parts needed for the initial build. After an initial working machine is completed, the design of the machine parts will be adjusted so that the machine can start p...

Machine Learning.

Science.gov (United States)

Kirrane, Diane E.

1990-01-01

As scientists seek to develop machines that can "learn," that is, solve problems by imitating the human brain, a gold mine of information on the processes of human learning is being discovered, expert systems are being improved, and human-machine interactions are being enhanced. (SK)

Aids-related kaposi's sarcoma in a four year old child: the challenge ...

African Journals Online (AJOL)

Background: AIDSrelated Kaposi's sarcoma (KS) is an AIDS-defining illness and is now increasingly recognized in children infected with HIV. Many of these cases are missed due to low index of suspicion. Vertical transmission of HIV is the commonest route of transmission in children and this is preventable by early ...

Machining of Metal Matrix Composites

CERN Document Server

2012-01-01

Machining of Metal Matrix Composites provides the fundamentals and recent advances in the study of machining of metal matrix composites (MMCs). Each chapter is written by an international expert in this important field of research. Machining of Metal Matrix Composites gives the reader information on machining of MMCs with a special emphasis on aluminium matrix composites. Chapter 1 provides the mechanics and modelling of chip formation for traditional machining processes. Chapter 2 is dedicated to surface integrity when machining MMCs. Chapter 3 describes the machinability aspects of MMCs. Chapter 4 contains information on traditional machining processes and Chapter 5 is dedicated to the grinding of MMCs. Chapter 6 describes the dry cutting of MMCs with SiC particulate reinforcement. Finally, Chapter 7 is dedicated to computational methods and optimization in the machining of MMCs. Machining of Metal Matrix Composites can serve as a useful reference for academics, manufacturing and materials researchers, manu...

Genetic algorithm enhanced by machine learning in dynamic aperture optimization

Science.gov (United States)

Li, Yongjun; Cheng, Weixing; Yu, Li Hua; Rainer, Robert

2018-05-01

With the aid of machine learning techniques, the genetic algorithm has been enhanced and applied to the multi-objective optimization problem presented by the dynamic aperture of the National Synchrotron Light Source II (NSLS-II) Storage Ring. During the evolution processes employed by the genetic algorithm, the population is classified into different clusters in the search space. The clusters with top average fitness are given "elite" status. Intervention on the population is implemented by repopulating some potentially competitive candidates based on the experience learned from the accumulated data. These candidates replace randomly selected candidates among the original data pool. The average fitness of the population is therefore improved while diversity is not lost. Maintaining diversity ensures that the optimization is global rather than local. The quality of the population increases and produces more competitive descendants accelerating the evolution process significantly. When identifying the distribution of optimal candidates, they appear to be located in isolated islands within the search space. Some of these optimal candidates have been experimentally confirmed at the NSLS-II storage ring. The machine learning techniques that exploit the genetic algorithm can also be used in other population-based optimization problems such as particle swarm algorithm.

Power Doppler signal calibration between ultrasound machines by use of a capillary-flow phantom for pannus vascularity in rheumatoid finger joints: a basic study.

Science.gov (United States)

Sakano, Ryosuke; Kamishima, Tamotsu; Nishida, Mutsumi; Horie, Tatsunori

2015-01-01

Ultrasound allows the detection and grading of inflammation in rheumatology. Despite these advantages of ultrasound in the management of rheumatoid patients, it is well known that there are significant machine-to-machine disagreements regarding signal quantification. In this study, we tried to calibrate the power Doppler (PD) signal of two models of ultrasound machines by using a capillary-flow phantom. After flow velocity analysis in the perfusion cartridge at various injection rates (0.1-0.5 ml/s), we measured the signal count in the perfusion cartridge at various injection rates and pulse repetition frequencies (PRFs) by using PD, perfusing an ultrasound micro-bubble contrast agent diluted with normal saline simulating human blood. By use of the data from two models of ultrasound machines, Aplio 500 (Toshiba) and Avius (Hitachi Aloka), the quantitative PD (QPD) index [the summation of the colored pixels in a 1 cm × 1 cm rectangular region of interest (ROI)] was calculated via Image J (internet free software). We found a positive correlation between the injection rate and the flow velocity. In Aplio 500 and Avius, we found negative correlations between the PRF and the QPD index when the flow velocity was constant, and a positive correlation between flow velocity and the QPD index at constant PRF. The equation for the relationship of the PRF between Aplio 500 and Avius was: y = 0.023x + 0.36 [y = PRF of Avius (kHz), x = PRF of Aplio 500 (kHz)]. Our results suggested that the signal calibration of various models of ultrasound machines is possible by adjustment of the PRF setting.

Retinocoroidite toxoplásmica em pacientes com AIDS e neurotoxoplasmose Toxoplasmic retinochoroiditis in patients with AIDS and neurotoxoplasmosis

Directory of Open Access Journals (Sweden)

Jane Mary Alves

2010-04-01

Full Text Available OBJETIVO: A neurotoxoplasmose é a alteração do sistema nervoso central mais frequente observada em pacientes com AIDS. A ocorrência de toxoplasmose ocular em neurotoxoplasmose ainda é pouco estudada. O objetivo deste estudo foi de investigar a ocorrência de retinocoroidite toxoplásmica, típica ou provável, em pacientes com AIDS e neurotoxoplasmose. MÉTODOS: Foi desenvolvido estudo prospectivo, tipo série de casos incluindo 70 pacientes, de ambos os sexos, com idade variando de 20 a 63 anos, internados nas enfermarias de três hospitais públicos da cidade do Recife, Pernambuco, com tais diagnósticos firmados segundo os critérios do CDC (1992, no período de janeiro a outubro de 2008. Os pacientes caracterizavam-se por: primeiro episódio de neurotoxoplasmose (65; 92,9% ou recidiva (5; 7,1%; desconhecimento de ter AIDS (23; 32,9%, contagem média de linfócitos T CD4 de 139,8 ± 3,04 células/mm³ e carga viral média igual a 137.080 ± 39.380 cópias/mL. Todos os pacientes foram submetidos a exame oftalmológico, consistindo de: inspeção ocular; aferição da acuidade visual; investigação da função muscular extrínseca ocular e fundoscopia, empregando oftalmoscópio indireto binocular (modelo OHN 3.5 (Eyetec® e lente externa de 20 dioptrias (Volk®. RESULTADOS: Foram diagnosticados 4 (5,7% pacientes com lesões cicatriciais de retinocoroidite, características de toxoplasmose ocular, sendo típica em 3 (75% pacientes e bilateral em 1. Não houve qualquer caso de retinocoroidite ativa, típica ou provável. As lesões oculares ativas foram raras comparadas às lesões cicatriciais, as quais se associam à presença de cistos na retina. CONCLUSÃO: Recomenda-se que mesmo lesões cicatriciais sejam valorizadas em pacientes com AIDS.PURPOSE: Neurotoxoplasmosis is the most common central nervous system disorder in patients with AIDS. The occurrence of ocular toxoplasmosis in neurotoxoplasmosis is not well studied. The objective of

Machine technology: a survey

International Nuclear Information System (INIS)

Barbier, M.M.

1981-01-01

An attempt was made to find existing machines that have been upgraded and that could be used for large-scale decontamination operations outdoors. Such machines are in the building industry, the mining industry, and the road construction industry. The road construction industry has yielded the machines in this presentation. A review is given of operations that can be done with the machines available

A Modular Artificial Intelligence Inference Engine System (MAIS) for support of on orbit experiments

Science.gov (United States)

Hancock, Thomas M., III

1994-01-01

This paper describes a Modular Artificial Intelligence Inference Engine System (MAIS) support tool that would provide health and status monitoring, cognitive replanning, analysis and support of on-orbit Space Station, Spacelab experiments and systems.

Characteristics of laser assisted machining for silicon nitride ceramic according to machining parameters

International Nuclear Information System (INIS)

Kim, Jong Do; Lee, Su Jin; Suh, Jeong

2011-01-01

This paper describes the Laser Assisted Machining (LAM) that cuts and removes softened parts by locally heating the ceramic with laser. Silicon nitride ceramics can be machined with general machining tools as well, because YSiAlON, which was made up ceramics, is soften at about 1,000 .deg. C. In particular, the laser, which concentrates on highly dense energy, can locally heat materials and very effectively control the temperature of the heated part of specimen. Therefore, this paper intends to propose an efficient machining method of ceramic by deducing the machining governing factors of laser assisted machining and understanding its mechanism. While laser power is the machining factor that controls the temperature, the CBN cutting tool could cut the material more easily as the material gets deteriorated from the temperature increase by increasing the laser power, but excessive oxidation can negatively affect the quality of the material surface after machining. As the feed rate and cutting depth increase, the cutting force increases and tool lifespan decreases, but surface oxidation also decreases. In this experiment, the material can be cut to 3 mm of cutting depth. And based on the results of the experiment, the laser assisted machining mechanism is clarified

Diferenças na prevenção da Aids entre homens e mulheres jovens de escolas públicas em São Paulo, SP Differences in AIDS prevention among young men and women of public schools in Brazil

Directory of Open Access Journals (Sweden)

Maria Cristina Antunes

2002-08-01

Full Text Available OBJETIVOS: Estudar as práticas sexuais de risco para a infecção pelo HIV de estudantes adultos jovens (18 a 25 anos de escolas públicas noturnas e avaliar as diferenças de gênero e o impacto de um programa de prevenção de Aids. MÉTODOS: Estudo longitudinal de intervenção, em quatro escolas da região central do Município de São Paulo, SP, divididas aleatoriamente em dois grupos: intervenção e controle. Uma amostra de 394 estudantes participou do estudo, e 77% completaram o questionário pós-intervenção. Realizaram-se "Oficinas de Sexo Mais Seguro" para discutir simbolismo da Aids, percepção de risco, influências das normas de gênero nas atitudes, informações sobre Aids, corpo erótico e reprodutivo, prazer sexual e negocia��ão do uso do preservativo. Para a análise estatística, foram empregados os testes qui-quadrado de Pearson e a análise de co-variância. RESULTADOS: A freqüência do uso consistente de preservativo foi baixa (33%, e existiam diferenças significativas entre homens e mulheres com referência à sexualidade e à prevenção de Aids. Ao avaliar os efeitos das oficinas, as mudanças foram estatisticamente significativas entre as mulheres, que relataram maior proporção de sexo protegido entre outros aspectos relacionados à prevenção da Aids. As mudanças não foram significativas entre os homens. CONCLUSÕES: O risco para a infecção pelo HIV pode ser diminuído, mas resultados mais expressivos podem ser encontrados se forem consideradas as diferenças de gênero e de papéis sexuais por meio de programas comunitários específicos de longa duração.OBJECTIVES: To investigate risk sexual for HIV infection among young adult night school students (18 to 25 years old and to assess gender differences in sexual practices and the impact of AIDS prevention program. METHODS: A longitudinal intervention study was carried out among students of four public inner-city night schools, in the city of S�

A novel hybrid model for air quality index forecasting based on two-phase decomposition technique and modified extreme learning machine.

Science.gov (United States)

Wang, Deyun; Wei, Shuai; Luo, Hongyuan; Yue, Chenqiang; Grunder, Olivier

2017-02-15

The randomness, non-stationarity and irregularity of air quality index (AQI) series bring the difficulty of AQI forecasting. To enhance forecast accuracy, a novel hybrid forecasting model combining two-phase decomposition technique and extreme learning machine (ELM) optimized by differential evolution (DE) algorithm is developed for AQI forecasting in this paper. In phase I, the complementary ensemble empirical mode decomposition (CEEMD) is utilized to decompose the AQI series into a set of intrinsic mode functions (IMFs) with different frequencies; in phase II, in order to further handle the high frequency IMFs which will increase the forecast difficulty, variational mode decomposition (VMD) is employed to decompose the high frequency IMFs into a number of variational modes (VMs). Then, the ELM model optimized by DE algorithm is applied to forecast all the IMFs and VMs. Finally, the forecast value of each high frequency IMF is obtained through adding up the forecast results of all corresponding VMs, and the forecast series of AQI is obtained by aggregating the forecast results of all IMFs. To verify and validate the proposed model, two daily AQI series from July 1, 2014 to June 30, 2016 collected from Beijing and Shanghai located in China are taken as the test cases to conduct the empirical study. The experimental results show that the proposed hybrid model based on two-phase decomposition technique is remarkably superior to all other considered models for its higher forecast accuracy. Copyright © 2016 Elsevier B.V. All rights reserved.

Energy-efficient electrical machines by new materials. Superconductivity in large electrical machines

International Nuclear Information System (INIS)

Frauenhofer, Joachim; Arndt, Tabea; Grundmann, Joern

2013-01-01

The implementation of superconducting materials in high-power electrical machines results in significant advantages regarding efficiency, size and dynamic behavior when compared to conventional machines. The application of HTS (high-temperature superconductors) in electrical machines allows significantly higher power densities to be achieved for synchronous machines. In order to gain experience with the new technology, Siemens carried out a series of development projects. A 400 kW model motor for the verification of a concept for the new technology was followed by a 4000 kV A generator as highspeed machine - as well as a low-speed 4000 kW propeller motor with high torque. The 4000 kVA generator is still employed to carry out long-term tests and to check components. Superconducting machines have significantly lower weight and envelope dimensions compared to conventional machines, and for this reason alone, they utilize resources better. At the same time, operating losses are slashed to about half and the efficiency increases. Beyond this, they set themselves apart as a result of their special features in operation, such as high overload capability, stiff alternating load behavior and low noise. HTS machines provide significant advantages where the reduction of footprint, weight and losses or the improved dynamic behavior results in significant improvements of the overall system. Propeller motors and generators,for ships, offshore plants, in wind turbine and hydroelectric plants and in large power stations are just some examples. HTS machines can therefore play a significant role when it comes to efficiently using resources and energy as well as reducing the CO 2 emissions.

Report on evaluation of research and development of combined production systems aided by superhighly functional laser. Evaluation; Chokoseino laser oyo fukugo seisan system no kenkyu kaihatsu ni kansuru hyoka hokokusho. Hyokahen

Energy Technology Data Exchange (ETDEWEB)

NONE

1985-08-01

Described herein are combined production systems, capable of flexibly, quickly producing diversified types of machine members in small quantities in an integrated manner from raw stock processing to assembling/inspection. Development of the related techniques, including those for development of lasers of high output, has been implemented in an integrated manner for development of optical members, processing techniques and so on. The techniques developed by this project are expected to be applicable to various industrial purposes, because of their high synergistic effects. There was no oscillator of high output, when the project was started. This project has reduced device size and cost and improved their reliability, greatly contributing to expanded use of lasers. The solid-state lasers have been developed, not only for growing large-size crystals but also for transmission of light. The automation guidelines for assembling and inspection steps, which heavily depended on manual works, have been drawn. The machining functions have been improved by incorporating the processing techniques aided by lasers of high or medium output. One of the major problems involved in the conventional system is very time-consuming works required for establishing the software for the computer by which it is aided for operation. This problem has been solved by providing the modular structure machines developed by this project with flexibility of machining machine. (NEDO)

Poder inteligente: a questão do HIV/AIDS na política externa Brasileira Smart power: the issue of HIV/AIDS in Brazilian foreign policy

Directory of Open Access Journals (Sweden)

Alex Giacomelli da Silva

2005-06-01

Full Text Available O autor discute a faceta internacional da política brasileira sobre HIV/AIDS e sua relação com outras áreas da política externa, como propriedade intelectual e direitos humanos. Para isso, utiliza-se dos conceitos de Joseph Nye Jr. de soft power e hard power. Este reflete a capacidade de um ator fazer com que outros sigam sua posição, mesmo contra a vontade. Aquele consiste na capacidade de um ator atrair outros livremente para sua posição. O ensaio analisa a importância, nas relações internacionais, dos meios de comunicação, das ONGs, da opinião pública e das instituições interestatais, que não somente possuem soft power próprio, mas também desempenham papel relevante no fortalecimento do soft power dos países. O autor avalia a influência desse tipo de poder nas relações entre o Brasil e os Estados Unidos, bem como em foros multilaterais como as Nações Unidas e a Organização Mundial do Comércio. O artigo analisa, igualmente, o papel do hard power nas relações internacionais e avalia por que os países não podem dispensá-lo. Embora o soft power venha de fato tornando-se cada vez mais importante nos últimos anos, a combinação dos dois tipos de poder continua sendo a política mais correta a ser seguida. A política externa brasileira de HIV/AIDS constitui exemplo ilustrativo.The paper discusses the international facet of the Brazilian policy on HIV/AIDS and its connection to other areas of foreign relations, such as intellectual property rights and human rights. In so doing, it takes into account Joseph Nye Jr. concepts of soft and hard power. The latter reflects the capacity of making others follow one's position, albeit against their will. The former consists in the capacity of freely attracting others to one's position. The author analyses the importance of the media, the nongovernmental organizations, the public opinion, and the international institutions in foreign affairs. Not only do they possess soft

Computer-aided drug discovery [v1; ref status: indexed, http://f1000r.es/5ij

Directory of Open Access Journals (Sweden)

Jürgen Bajorath

2015-08-01

Full Text Available Computational approaches are an integral part of interdisciplinary drug discovery research. Understanding the science behind computational tools, their opportunities, and limitations is essential to make a true impact on drug discovery at different levels. If applied in a scientifically meaningful way, computational methods improve the ability to identify and evaluate potential drug molecules, but there remain weaknesses in the methods that preclude naïve applications. Herein, current trends in computer-aided drug discovery are reviewed, and selected computational areas are discussed. Approaches are highlighted that aid in the identification and optimization of new drug candidates. Emphasis is put on the presentation and discussion of computational concepts and methods, rather than case studies or application examples. As such, this contribution aims to provide an overview of the current methodological spectrum of computational drug discovery for a broad audience.

Computer-aided instruction system; Systeme d'enseignement programme par ordinateur

Energy Technology Data Exchange (ETDEWEB)

Teneze, Jean Claude

1968-12-18

This research thesis addresses the use of teleprocessing and time sharing by the RAX IBM system and the possibility to introduce a dialog with the machine to develop an application in which the computer plays the role of a teacher for different pupils at the same time. Two operating modes are thus exploited: a teacher-mode and a pupil-mode. The developed CAI (computer-aided instruction) system comprises a checker to check the course syntax in teacher-mode, a translator to trans-code the course written in teacher-mode into a form which can be processes by the execution programme, and the execution programme which presents the course in pupil-mode.

VIRTUAL MACHINES IN EDUCATION – CNC MILLING MACHINE WITH SINUMERIK 840D CONTROL SYSTEM

Directory of Open Access Journals (Sweden)

Ireneusz Zagórski

2014-11-01

Full Text Available Machining process nowadays could not be conducted without its inseparable element: cutting edge and frequently numerically controlled milling machines. Milling and lathe machining centres comprise standard equipment in many companies of the machinery industry, e.g. automotive or aircraft. It is for that reason that tertiary education should account for this rising demand. This entails the introduction into the curricula the forms which enable visualisation of machining, milling process and virtual production as well as virtual machining centres simulation. Siemens Virtual Machine (Virtual Workshop sets an example of such software, whose high functionality offers a range of learning experience, such as: learning the design of machine tools, their configuration, basic operation functions as well as basics of CNC.

Scheduling of hybrid types of machines with two-machine flowshop as the first type and a single machine as the second type

Science.gov (United States)

Hsiao, Ming-Chih; Su, Ling-Huey

2018-02-01

This research addresses the problem of scheduling hybrid machine types, in which one type is a two-machine flowshop and another type is a single machine. A job is either processed on the two-machine flowshop or on the single machine. The objective is to determine a production schedule for all jobs so as to minimize the makespan. The problem is NP-hard since the two parallel machines problem was proved to be NP-hard. Simulated annealing algorithms are developed to solve the problem optimally. A mixed integer programming (MIP) is developed and used to evaluate the performance for two SAs. Computational experiments demonstrate the efficiency of the simulated annealing algorithms, the quality of the simulated annealing algorithms will also be reported.

The strength study of the rotating device driver indexing spatial mechanism

Science.gov (United States)

Zakharenkov, N. V.; Kvasov, I. N.

2018-04-01

The indexing spatial mechanisms are widely used in automatic machines. The mechanisms maximum load-bearing capacity measurement is possible based on both the physical and numerical models tests results. The paper deals with the driven disk indexing spatial cam mechanism numerical model at the constant angular cam velocity. The presented mechanism kinematics and geometry parameters and finite element model are analyzed in the SolidWorks design environment. The calculation initial data and missing parameters having been found from the structure analysis were identified. The structure and kinematics analysis revealed the mechanism failures possible reasons. The numerical calculations results showing the structure performance at the contact and bending stresses are represented.

Analysis of Sheng-Mai-San, a Ginseng-Containing Multiple Components Traditional Chinese Herbal Medicine Using Liquid Chromatography Tandem Mass Spectrometry and Physical Examination by Electron and Light Microscopies

Directory of Open Access Journals (Sweden)

Yung-Yi Cheng

2016-09-01

Full Text Available Sheng-Mai-San is a multi-component traditional Chinese herbal preparation. Due to the fact granulated additives, such as starch, carboxymethyl cellulose, lactose and raw herbal powder may alter the content of the bioactive markers in the herbal products, a developed ultra-high performance liquid chromatography tandem mass spectrometry (UHPLC-MS/MS method was used to measure the herbal biomarkers of ginsenoside Rb1, Rb2, Rc, Rd, Re, Rg1, Rh1, compound K, ophiopogonin D and schizandrin from the Sheng-Mai-San herbal formulation. Besides, scanning electron microscopy (SEM was used to observe the morphology of the herbal granular powders. Light microscopy with Congo red and iodine-KI reagent staining was used to identify the cellulose fiber and cornstarch added to pharmaceutical herbal products. The swelling power (SP, water solubility index (WSI, and crude fiber analysis were used to determine the contents of cellulose fiber and cornstarch in pharmaceutical herbal products. In this study, we developed a novel skill to assess the quantification of appended cornstarch in pharmaceutical herbal products using Aperio ImageScope software. Compared with the traditional cornstarch analysis, our analysis method is a rapid, simple and conversion process which could be applied to detect the percentage of added cornstarch in unknown powder products. The various range of the herbal content for the five pharmaceutical manufacturers varied by up to several hundreds-fold. The physical examination reveals that the morphology of the herbal pharmaceutical products is rough and irregular with sharp layers. This study provides a reference standard operating procedure guide for the quality control of the Chinese herbal pharmaceutical products of Sheng-Mai-San.

Analysis of Sheng-Mai-San, a Ginseng-Containing Multiple Components Traditional Chinese Herbal Medicine Using Liquid Chromatography Tandem Mass Spectrometry and Physical Examination by Electron and Light Microscopies.

Science.gov (United States)

Cheng, Yung-Yi; Tsai, Tung-Hu

2016-09-01

Sheng-Mai-San is a multi-component traditional Chinese herbal preparation. Due to the fact granulated additives, such as starch, carboxymethyl cellulose, lactose and raw herbal powder may alter the content of the bioactive markers in the herbal products, a developed ultra-high performance liquid chromatography tandem mass spectrometry (UHPLC-MS/MS) method was used to measure the herbal biomarkers of ginsenoside Rb₁, Rb₂, Rc, Rd, Re, Rg₁, Rh₁, compound K, ophiopogonin D and schizandrin from the Sheng-Mai-San herbal formulation. Besides, scanning electron microscopy (SEM) was used to observe the morphology of the herbal granular powders. Light microscopy with Congo red and iodine-KI reagent staining was used to identify the cellulose fiber and cornstarch added to pharmaceutical herbal products. The swelling power (SP), water solubility index (WSI), and crude fiber analysis were used to determine the contents of cellulose fiber and cornstarch in pharmaceutical herbal products. In this study, we developed a novel skill to assess the quantification of appended cornstarch in pharmaceutical herbal products using Aperio ImageScope software. Compared with the traditional cornstarch analysis, our analysis method is a rapid, simple and conversion process which could be applied to detect the percentage of added cornstarch in unknown powder products. The various range of the herbal content for the five pharmaceutical manufacturers varied by up to several hundreds-fold. The physical examination reveals that the morphology of the herbal pharmaceutical products is rough and irregular with sharp layers. This study provides a reference standard operating procedure guide for the quality control of the Chinese herbal pharmaceutical products of Sheng-Mai-San.

Downscaling of MODIS One Kilometer Evapotranspiration Using Landsat-8 Data and Machine Learning Approaches

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Yinghai Ke

2016-03-01

Full Text Available This study presented a MODIS 8-day 1 km evapotranspiration (ET downscaling method based on Landsat 8 data (30 m and machine learning approaches. Eleven indicators including albedo, land surface temperature (LST, and vegetation indices (VIs derived from Landsat 8 data were first upscaled to 1 km resolution. Machine learning algorithms including Support Vector Regression (SVR, Cubist, and Random Forest (RF were used to model the relationship between the Landsat indicators and MODIS 8-day 1 km ET. The models were then used to predict 30 m ET based on Landsat 8 indicators. A total of thirty-two pairs of Landsat 8 images/MODIS ET data were evaluated at four study sites including two in United States and two in South Korea. Among the three models, RF produced the lowest error, with relative Root Mean Square Error (rRMSE less than 20%. Vegetation greenness related indicators such as Normalized Difference Vegetation Index (NDVI, Enhanced Vegetation Index (EVI, Soil Adjusted Vegetation Index (SAVI, and vegetation moisture related indicators such as Normalized Difference Infrared Index—Landsat 8 OLI band 7 (NDIIb7 and Normalized Difference Water Index (NDWI were the five most important features used in RF model. Temperature-based indicators were less important than vegetation greenness and moisture-related indicators because LST could have considerable variation during each 8-day period. The predicted Landsat downscaled ET had good overall agreement with MODIS ET (average rRMSE = 22% and showed a similar temporal trend as MODIS ET. Compared to the MODIS ET product, the downscaled product demonstrated more spatial details, and had better agreement with in situ ET observations (R2 = 0.56. However, we found that the accuracy of MODIS ET was the main control factor of the accuracy of the downscaled product. Improved coarse-resolution ET estimation would result in better finer-resolution estimation. This study proved the potential of using machine learning

AIDS Myths and Myths about AIDS Myths : A Study about AIDS-related Perceptions in South Africa

OpenAIRE

Sivelä, Jonas

2016-01-01

This doctoral thesis, consisting of four separate articles and a summarizing report, discusses so-called South African AIDS myths also called AIDS beliefs, rumours, misconceptions and legends. AIDS myths have been put forth as an outcome of and a major reason behind the severe HIV/AIDS situation in South Africa. They are proposed to flourish among black South Africans living in impoverished townships and villages. In previous studies, the reasons and mechanisms behind AIDS myths have be...

Machine-to-machine communications architectures, technology, standards, and applications

CERN Document Server

Misic, Vojislav B

2014-01-01

With the number of machine-to-machine (M2M)-enabled devices projected to reach 20 to 50 billion by 2020, there is a critical need to understand the demands imposed by such systems. Machine-to-Machine Communications: Architectures, Technology, Standards, and Applications offers rigorous treatment of the many facets of M2M communication, including its integration with current technology.Presenting the work of a different group of international experts in each chapter, the book begins by supplying an overview of M2M technology. It considers proposed standards, cutting-edge applications, architectures, and traffic modeling and includes case studies that highlight the differences between traditional and M2M communications technology.Details a practical scheme for the forward error correction code designInvestigates the effectiveness of the IEEE 802.15.4 low data rate wireless personal area network standard for use in M2M communicationsIdentifies algorithms that will ensure functionality, performance, reliability, ...

Nonplanar machines

International Nuclear Information System (INIS)

Ritson, D.

1989-05-01

This talk examines methods available to minimize, but never entirely eliminate, degradation of machine performance caused by terrain following. Breaking of planar machine symmetry for engineering convenience and/or monetary savings must be balanced against small performance degradation, and can only be decided on a case-by-case basis. 5 refs

Ultraprecision machining. Cho seimitsu kako

Energy Technology Data Exchange (ETDEWEB)

Suga, T [The Univ. of Tokyo, Tokyo (Japan). Research Center for Advanced Science and Technology

1992-10-05

It is said that the image of ultraprecision improved from 0.1[mu]m to 0.01[mu]m within recent years. Ultraprecision machining is a production technology which forms what is called nanotechnology with ultraprecision measuring and ultraprecision control. Accuracy means average machined sizes close to a required value, namely the deflection errors are small; precision means the scattered errors of machined sizes agree very closely. The errors of machining are related to both of the above errors and ultraprecision means the combined errors are very small. In the present ultraprecision machining, the relative precision to the size of a machined object is said to be in the order of 10[sup -6]. The flatness of silicon wafers is usually less than 0.5[mu]m. It is the fact that the appearance of atomic scale machining is awaited as the limit of ultraprecision machining. The machining of removing and adding atomic units using scanning probe microscopes are expected to reach the limit actually. 2 refs.

Theory and practice in machining systems

CERN Document Server

Ito, Yoshimi

2017-01-01

This book describes machining technology from a wider perspective by considering it within the machining space. Machining technology is one of the metal removal activities that occur at the machining point within the machining space. The machining space consists of structural configuration entities, e.g., the main spindle, the turret head and attachments such the chuck and mandrel, and also the form-generating movement of the machine tool itself. The book describes fundamental topics, including the form-generating movement of the machine tool and the important roles of the attachments, before moving on to consider the supply of raw materials into the machining space, and the discharge of swarf from it, and then machining technology itself. Building on the latest research findings “Theory and Practice in Machining System” discusses current challenges in machining. Thus, with the inclusion of introductory and advanced topics, the book can be used as a guide and survey of machining technology for students an...

HIV/AIDS - resources

Science.gov (United States)

Resources - HIV/AIDS ... information on AIDS : AIDS.gov -- www.aids.gov AIDS Info -- aidsinfo.nih.gov The Henry J. Kaiser Family Foundation -- www.kff.org/hivaids US Centers for Disease Control and Prevention -- www.cdc.gov/hiv

Face machines

Energy Technology Data Exchange (ETDEWEB)

Hindle, D.

1999-06-01

The article surveys latest equipment available from the world`s manufacturers of a range of machines for tunnelling. These are grouped under headings: excavators; impact hammers; road headers; and shields and tunnel boring machines. Products of thirty manufacturers are referred to. Addresses and fax numbers of companies are supplied. 5 tabs., 13 photos.

Machine learning methods for the classification of gliomas: Initial results using features extracted from MR spectroscopy.

Science.gov (United States)

Ranjith, G; Parvathy, R; Vikas, V; Chandrasekharan, Kesavadas; Nair, Suresh

2015-04-01

With the advent of new imaging modalities, radiologists are faced with handling increasing volumes of data for diagnosis and treatment planning. The use of automated and intelligent systems is becoming essential in such a scenario. Machine learning, a branch of artificial intelligence, is increasingly being used in medical image analysis applications such as image segmentation, registration and computer-aided diagnosis and detection. Histopathological analysis is currently the gold standard for classification of brain tumors. The use of machine learning algorithms along with extraction of relevant features from magnetic resonance imaging (MRI) holds promise of replacing conventional invasive methods of tumor classification. The aim of the study is to classify gliomas into benign and malignant types using MRI data. Retrospective data from 28 patients who were diagnosed with glioma were used for the analysis. WHO Grade II (low-grade astrocytoma) was classified as benign while Grade III (anaplastic astrocytoma) and Grade IV (glioblastoma multiforme) were classified as malignant. Features were extracted from MR spectroscopy. The classification was done using four machine learning algorithms: multilayer perceptrons, support vector machine, random forest and locally weighted learning. Three of the four machine learning algorithms gave an area under ROC curve in excess of 0.80. Random forest gave the best performance in terms of AUC (0.911) while sensitivity was best for locally weighted learning (86.1%). The performance of different machine learning algorithms in the classification of gliomas is promising. An even better performance may be expected by integrating features extracted from other MR sequences. © The Author(s) 2015 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav.

Cartilha sobre auto–exame ocular para portadores do HIV/AIDS como tecnologia emancipatória: relato de experiência

Directory of Open Access Journals (Sweden)

Joselany Áfio Caetano

2006-08-01

Full Text Available Este trabalho descreve a experiência da construção de uma cartilha do auto-exame ocular para portadores do HIV/AIDS e teve como objetivo desenvolver e avaliar as ações do referido auto-exame por intermédio da cartilha “Auto-exame ocular”. A testagem da cartilha foi feita por meio de grupos educativos e consulta de enfermagem, bimestralmente, seguida do exame oftalmológico. Ao nos apoiarmos nas idéias de NIETSCHE (2000, rotulamos esse material como uma tecnologia emancipatória pelo fato de trazer, a essa população, a oportunidade de se libertar de um estado de sujeição. Os resultados comprovam que os portadores de HIV/AIDS se sentem motivados a investigar problemas oculares, mas ainda falta incorporar, na vida cotidiana, o hábito de utilizar a cartilha. Mais do que oferecer passos seqüenciais para realizar a técnica do auto-exame ocular, apresentamos referenciais que auxiliam o desenvolvimento das potencialidades dos portadores do HIV/AIDS com vistas a trabalhar o autocuidado com o olho de forma dinâmica e com um aliado, o material educativo.

Détermination de la vitesse de coupe en usinage à l'aide des réseaux de neurones

Science.gov (United States)

Amor, Noureddine; Noureddine, Ali; Kherfane, Riad Lakhdar

2018-02-01

En usinage par enlèvement de copeaux, il est nécessaire de connaître des éléments tels que la géométrie à obtenir, la matière à usiner, le type d'opération, la machine-outil, l'outil de coupe, la profondeur de passe, l'avance, la vitesse de coupe. Ces trois derniers éléments quantifiables sont déterminés à l'aide de tables, abaques, logiciel informatique dédié, ou système CFAO, offrant une large gamme de choix mais manquant de transparence et de flexibilité. La contribution de cet article est d'appliquer les techniques d'intelligence artificielle basées sur les réseaux de neurones artificiels (RNA) au développement d'un système de décision pour le choix des paramètres de coupe. Pour modéliser la vitesse de coupe, nous utilisons un RNA avec un algorithme de rétro-propagation. Des valeurs expérimentales provenant d'un abaque source serviront à construire et établir le RNA pour estimer la valeur de la vitesse de coupe, utilisant comme données un certain nombre de paramètres d'influence. La validité des résultats obtenus montre que cette méthode peut être appliquée avec succès et que son utilisation dans le domaine de l'usinage peut contribuer à optimiser les conditions de coupe par un choix plus précis et plus rapide de la vitesse de coupe.

Tattoo machines, needles and utilities.

Science.gov (United States)

Rosenkilde, Frank

2015-01-01

Starting out as a professional tattooist back in 1977 in Copenhagen, Denmark, Frank Rosenkilde has personally experienced the remarkable development of tattoo machines, needles and utilities: all the way from home-made equipment to industrial products of substantially improved quality. Machines can be constructed like the traditional dual-coil and single-coil machines or can be e-coil, rotary and hybrid machines, with the more convenient and precise rotary machines being the recent trend. This development has resulted in disposable needles and utilities. Newer machines are more easily kept clean and protected with foil to prevent crosscontaminations and infections. The machines and the tattooists' knowledge and awareness about prevention of infection have developed hand-in-hand. For decades, Frank Rosenkilde has been collecting tattoo machines. Part of his collection is presented here, supplemented by his personal notes. © 2015 S. Karger AG, Basel.

Design of rotating electrical machines

CERN Document Server

Pyrhonen , Juha; Hrabovcova , Valeria

2013-01-01

In one complete volume, this essential reference presents an in-depth overview of the theoretical principles and techniques of electrical machine design. This timely new edition offers up-to-date theory and guidelines for the design of electrical machines, taking into account recent advances in permanent magnet machines as well as synchronous reluctance machines. New coverage includes: Brand new material on the ecological impact of the motors, covering the eco-design principles of rotating electrical machinesAn expanded section on the design of permanent magnet synchronous machines, now repo

Use of models and mockups in verifying man-machine interfaces

International Nuclear Information System (INIS)

Seminara, J.L.

1985-01-01

The objective of Human Factors Engineering is to tailor the design of facilities and equipment systems to match the capabilities and limitations of the personnel who will operate and maintain the system. This optimization of the man-machine interface is undertaken to enhance the prospects for safe, reliable, timely, and error-free human performance in meeting system objectives. To ensure the eventual success of a complex man-machine system it is important to systematically and progressively test and verify the adequacy of man-machine interfaces from initial design concepts to system operation. Human factors specialists employ a variety of methods to evaluate the quality of the human-system interface. These methods include: (1) Reviews of two-dimensional drawings using appropriately scaled transparent overlays of personnel spanning the anthropometric range, considering clothing and protective gear encumbrances (2) Use of articulated, scaled, plastic templates or manikins that are overlayed on equipment or facility drawings (3) Development of computerized manikins in computer aided design approaches (4) Use of three-dimensional scale models to better conceptualize work stations, control rooms or maintenance facilities (5) Full or half-scale mockups of system components to evaluate operator/maintainer interfaces (6) Part of full-task dynamic simulation of operator or maintainer tasks and interactive system responses (7) Laboratory and field research to establish human performance capabilities with alternative system design concepts or configurations. Of the design verification methods listed above, this paper will only consider the use of models and mockups in the design process

Computer-Aided Experiment Planning toward Causal Discovery in Neuroscience.

Science.gov (United States)

Matiasz, Nicholas J; Wood, Justin; Wang, Wei; Silva, Alcino J; Hsu, William

2017-01-01

Computers help neuroscientists to analyze experimental results by automating the application of statistics; however, computer-aided experiment planning is far less common, due to a lack of similar quantitative formalisms for systematically assessing evidence and uncertainty. While ontologies and other Semantic Web resources help neuroscientists to assimilate required domain knowledge, experiment planning requires not only ontological but also epistemological (e.g., methodological) information regarding how knowledge was obtained. Here, we outline how epistemological principles and graphical representations of causality can be used to formalize experiment planning toward causal discovery. We outline two complementary approaches to experiment planning: one that quantifies evidence per the principles of convergence and consistency, and another that quantifies uncertainty using logical representations of constraints on causal structure. These approaches operationalize experiment planning as the search for an experiment that either maximizes evidence or minimizes uncertainty. Despite work in laboratory automation, humans must still plan experiments and will likely continue to do so for some time. There is thus a great need for experiment-planning frameworks that are not only amenable to machine computation but also useful as aids in human reasoning.

A Retrospective Study of Erectile Function and Use of Erectile Aids in Prostate Cancer Patients After Radical Prostatectomy in Denmark

DEFF Research Database (Denmark)

Haahr, Martha Kirstine; Azawi, Nessn H; Andersen, Line Grønbaek

2017-01-01

-nerve-sparing RP had ESI 12 months after RP. Age older than 60.5 years, a high body mass index, comorbidity, and a high American Society of Anesthesiologists score were negative predictors of erectile function 12 months after RP. CONCLUSION: Twelve months after RP, 32.1% of men had ESI; half these men required...... the use of erectile aids. Age older than 60.5 years, a high body mass index, comorbidity, and a high American Society of Anesthesiologists score were negative predictors for ED 12 months after RP. Haahr MK, Azawi NH, Andersen LG, et al. A Retrospective Study of Erectile Function and Use of Erectile Aids...

Effect of organic fertiliser residues from rice production on nitrogen fixation of soya (Glycine max L. Merrill, Chiang Mai 60 variety

Directory of Open Access Journals (Sweden)

Nattida Luangmaka

2013-09-01

Full Text Available A field study was undertaken on the residual effect of organic fertilisers applied to the preceding rice cropping on nitrogen fixation of soya in a rice-soya cropping system. The experiment was conducted on a farmer’s lowland paddy in Mae Rim district, Chiang Mai province, Thailand. Organic fertiliser treatments assigned were: 1 control (no fertiliser, 2 animal manure of cattle (AM, 3 compost (CP, 4 azolla (AZ, 5 AM + CP, 6 AM + AZ, 7 CP + AZ and 8 AM + CP + AZ. Soya seeds were planted without rhizobial inoculation in December 2011, four months after the application of organic fertilisers. Nodule weight, total shoot nitrogen accumulation and relative ureide index at various growth stages were recorded as the indices of nitrogen fixation. Results of the study demonstrate that the residues from the application the organic fertilisers of narrow C/N ratios during the land preparation for rice cropping four months before soya cultivation promoted nitrogen fixation by native rhizobia.

VIRTUAL MODELING OF A NUMERICAL CONTROL MACHINE TOOL USED FOR COMPLEX MACHINING OPERATIONS

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POPESCU Adrian

2015-11-01

Full Text Available This paper presents the 3D virtual model of the numerical control machine Modustar 100, in terms of machine elements. This is a CNC machine of modular construction, all components allowing the assembly in various configurations. The paper focused on the design of the subassemblies specific to the axes numerically controlled by means of CATIA v5, which contained different drive kinematic chains of different translation modules that ensures translation on X, Y and Z axis. Machine tool development for high speed and highly precise cutting demands employment of advanced simulation techniques witch it reflect on cost of total development of the machine.

Advanced Nuclear Applications in Medicinr at Chiang Mai University