Using Appreciative Inquiry to Change Perceptions Concerning the Satisfaction of Organization Members' Needs

Directory of Open Access Journals (Sweden)

Ştefan COJOCARU

2012-02-01

Full Text Available This study explored the innovative use of appreciative inquiry (AI in the organizational environment for changing the perception concerning the satisfaction of its members’ needs. The experiment started from the assumption that organizations are social constructions generated by the interpretations social actors have about this entity and about themselves, being the result of human interactions. The experiment used the appreciative inquiry as form of intervention, run in the four stages of the 4-D cycle. The results of the intervention show that, although appreciative inquiry was directed chiefly towards changing the perceptions concerning the satisfaction of the need for security, the interpretations given by organization members changed with regard to the satisfaction of all needs (security, basic needs, belonging, esteem and self-actualization. The study shows that motivation can be changed through an appreciative approach of events, through their reinterpretation within a process of dialogue and consensus; the reinterpretation of the organization as a text and the application of appreciative inquiry principles results in an organizational reconstruction as a process that can be run in a relatively short period of time. The positive changes of the organizational environment were also a result of the way the organization was researched. The appreciative interviews resulted in individual reinterpretations of organizational contexts, which were negotiated and assumed in the environment of the collectivity. The changes were supported by the organization members’ involvement in building a shared vision, in making a plan in which every person is a voice in the organization, and in developing attachment and ownership in relation to the developed plans.

A Behavioral Maturity Model to Establish Knowledge Management in an Organization

OpenAIRE

Fashami, C. S.; Babaei, M.

2017-01-01

Modern organizations need intangible assets such as organizational knowledge and human resources to gain competitive advantage in the market. Organizations can provide opportunities for behavioral maturity of managers to establish knowledge management. This study tries to develop a behavioral maturity model for managements to examine effectiveness of knowledge management. The study is conducted in Iran Insurance Company as an empirical case study. Twenty academic and organizational experts ar...

Need for organic reference materials in marine science

Energy Technology Data Exchange (ETDEWEB)

Wells, D.E.

1988-12-01

The reference materials (RMs) available for organic trace analysis (OTA) and the development programmes of the RM producers are reviewed. The need for a wider range of determinants, matrices and classes of RMs, particularly the more widespread use of laboratory RMs (LRMs) is discussed. Additional certified RMs should include phenolic surfactant degradation products, chlorophenolics from the wood and paper industries, and organobromines from fire retardants. RMs as molecular markers of geogenic, pyrogenic and biogenic sources; chlorophylls and xanthophylls as a measure of marine productivity and natural shellfish toxins are proposed.

Modeling the acid-base chemistry of organic solutes in Adirondack, New York, lakes

Science.gov (United States)

Driscoll, Charles T.; Lehtinen, Michael D.; Sullivan, Timothy J.

1994-02-01

Data from the large and diverse Adirondack Lake Survey were used to calibrate four simple organic acid analog models in an effort to quantify the influence of naturally occurring organic acids on lake water pH and acid-neutralizing capacity (ANC). The organic acid analog models were calibrated to observations of pH, dissolved organic carbon (DOC), and organic anion (An-) concentrations from a reduced data set representing 1128 individual lake samples, expressed as 41 observations of mean pH, in intervals of 0.1 pH units from pH 3.9 to 7.0. Of the four organic analog approaches examined, including the Oliver et al. (1983) model, as well as monoprotic, diprotic, and triprotic representations, the triprotic analog model yielded the best fit (r2 = 0.92) to the observed data. Moreover, the triprotic model was qualitatively consistent with observed patterns of change in organic solute charge density as a function of pH. A low calibrated value for the first H+ dissociation constant (pKal = 2.62) and the observation that organic anion concentrations were significant even at very low pH (acidic functional groups. Inclusion of organic acidity in model calculations resulted in good agreement between measured and predicted values of lake water pH and ANC. Assessments to project the response of surface waters to future changes in atmospheric deposition, through the use of acidification models, will need to include representations of organic acids in model structure to make accurate predictions of pH and ANC.

Predicting long-term organic carbon dynamics in organically amended soils using the CQESTR model

Energy Technology Data Exchange (ETDEWEB)

Plaza, Cesar; Polo, Alfredo [Consejo Superior de Investigaciones Cientificas, Madrid (Spain). Inst. de Ciencias Agrarias; Gollany, Hero T. [Columbia Plateau Conservation Research Center, Pendleton, OR (United States). USDA-ARS; Baldoni, Guido; Ciavatta, Claudio [Bologna Univ. (Italy). Dept. of Agroenvironmental Sciences and Technologies

2012-04-15

Purpose: The CQESTR model is a process-based C model recently developed to simulate soil organic matter (SOM) dynamics and uses readily available or easily measurable input parameters. The current version of CQESTR (v. 2.0) has been validated successfully with a number of datasets from agricultural sites in North America but still needs to be tested in other geographic areas and soil types under diverse organic management systems. Materials and methods: We evaluated the predictive performance of CQESTR to simulate long-term (34 years) soil organic C (SOC) changes in a SOM-depleted European soil either unamended or amended with solid manure, liquid manure, or crop residue. Results and discussion: Measured SOC levels declined over the study period in the unamended soil, remained constant in the soil amended with crop residues, and tended to increase in the soils amended with manure, especially with solid manure. Linear regression analysis of measured SOC contents and CQESTR predictions resulted in a correlation coefficient of 0.626 (P < 0.001) and a slope and an intercept not significantly different from 1 and 0, respectively (95% confidence level). The mean squared deviation and root mean square error were relatively small. Simulated values fell within the 95% confidence interval of the measured SOC, and predicted errors were mainly associated with data scattering. Conclusions: The CQESTR model was shown to predict, with a reasonable degree of accuracy, the organic C dynamics in the soils examined. The CQESTR performance, however, could be improved by adding an additional parameter to differentiate between pre-decomposed organic amendments with varying degrees of stability. (orig.)

Model of sustainable utilization of organic solids waste in Cundinamarca, Colombia

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Solanyi Castañeda Torres

2017-05-01

Full Text Available Introduction: This article considers a proposal of a model of use of organic solids waste for the department of Cundinamarca, which responds to the need for a tool to support decision-making for the planning and management of organic solids waste. Objective: To perform an approximation of a conceptual technical and mathematician optimization model to support decision-making in order to minimize environmental impacts. Materials and methods: A descriptive study was applied due to the fact that some fundamental characteristics of the studied homogeneous phenomenon are presented and it is also considered to be quasi experimental. The calculation of the model for plants of the department is based on three axes (environmental, economic and social, that are present in the general equation of optimization. Results: A model of harnessing organic solids waste in the techniques of biological treatment of composting aerobic and worm cultivation is obtained, optimizing the system with the emissions savings of greenhouse gases spread into the atmosphere, and in the reduction of the overall cost of final disposal of organic solids waste in sanitary landfill. Based on the economic principle of utility that determines the environmental feasibility and sustainability in the plants of harnessing organic solids waste to the department, organic fertilizers such as compost and humus capture carbon and nitrogen that reduce the tons of CO2.

Project-matrix models of marketing organization

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Gutić Dragutin

2009-01-01

Full Text Available Unlike theory and practice of corporation organization, in marketing organization numerous forms and contents at its disposal are not reached until this day. It can be well estimated that marketing organization today in most of our companies and in almost all its parts, noticeably gets behind corporation organization. Marketing managers have always been occupied by basic, narrow marketing activities as: sales growth, market analysis, market growth and market share, marketing research, introduction of new products, modification of products, promotion, distribution etc. They rarely found it necessary to focus a bit more to different aspects of marketing management, for example: marketing planning and marketing control, marketing organization and leading. This paper deals with aspects of project - matrix marketing organization management. Two-dimensional and more-dimensional models are presented. Among two-dimensional, these models are analyzed: Market management/products management model; Products management/management of product lifecycle phases on market model; Customers management/marketing functions management model; Demand management/marketing functions management model; Market positions management/marketing functions management model. .

An empirically based model for knowledge management in health care organizations.

Science.gov (United States)

Sibbald, Shannon L; Wathen, C Nadine; Kothari, Anita

2016-01-01

Knowledge management (KM) encompasses strategies, processes, and practices that allow an organization to capture, share, store, access, and use knowledge. Ideal KM combines different sources of knowledge to support innovation and improve performance. Despite the importance of KM in health care organizations (HCOs), there has been very little empirical research to describe KM in this context. This study explores KM in HCOs, focusing on the status of current intraorganizational KM. The intention is to provide insight for future studies and model development for effective KM implementation in HCOs. A qualitative methods approach was used to create an empirically based model of KM in HCOs. Methods included (a) qualitative interviews (n = 24) with senior leadership to identify types of knowledge important in these roles plus current information-seeking behaviors/needs and (b) in-depth case study with leaders in new executive positions (n = 2). The data were collected from 10 HCOs. Our empirically based model for KM was assessed for face and content validity. The findings highlight the paucity of formal KM in our sample HCOs. Organizational culture, leadership, and resources are instrumental in supporting KM processes. An executive's knowledge needs are extensive, but knowledge assets are often limited or difficult to acquire as much of the available information is not in a usable format. We propose an empirically based model for KM to highlight the importance of context (internal and external), and knowledge seeking, synthesis, sharing, and organization. Participants who reviewed the model supported its basic components and processes, and potential for incorporating KM into organizational processes. Our results articulate ways to improve KM, increase organizational learning, and support evidence-informed decision-making. This research has implications for how to better integrate evidence and knowledge into organizations while considering context and the role of

Mutant mice: experimental organisms as materialised models in biomedicine.

Science.gov (United States)

Huber, Lara; Keuck, Lara K

2013-09-01

Animal models have received particular attention as key examples of material models. In this paper, we argue that the specificities of establishing animal models-acknowledging their status as living beings and as epistemological tools-necessitate a more complex account of animal models as materialised models. This becomes particularly evident in animal-based models of diseases that only occur in humans: in these cases, the representational relation between animal model and human patient needs to be generated and validated. The first part of this paper presents an account of how disease-specific animal models are established by drawing on the example of transgenic mice models for Alzheimer's disease. We will introduce an account of validation that involves a three-fold process including (1) from human being to experimental organism; (2) from experimental organism to animal model; and (3) from animal model to human patient. This process draws upon clinical relevance as much as scientific practices and results in disease-specific, yet incomplete, animal models. The second part of this paper argues that the incompleteness of models can be described in terms of multi-level abstractions. We qualify this notion by pointing to different experimental techniques and targets of modelling, which give rise to a plurality of models for a specific disease. Copyright © 2013 Elsevier Ltd. All rights reserved.

Community health needs assessment with precede-proceed model: a mixed methods study

Directory of Open Access Journals (Sweden)

Wang Yang

2009-10-01

Full Text Available Abstract Background Community health services in China have developed over the last few decades. In order to use limited health resources more effectively, we conducted a community health needs assessment. This aimed to provide an understanding of the community's health problems and the range of potential factors affecting risk behaviours for the priority health problems. Methods We used the precede-proceed model for the needs assessment. Triangulation of data, methods and researchers were employed in data collection. Results Main findings include: cardiovascular diseases (CVDs were identified as the priority health problems in the study communities; risk factors associated with CVDs included smoking, physical inactivity and unhealthy eating behaviours, particularly amongst male residents with low education level; factors negatively affecting behaviours were classified into predisposing factors (limited knowledge, beliefs and lack of perceived needs, enabling factors (limited access to health promotion activities, unawareness of health promotion, lack of work-site and school health promotion, absence of health promotion related policy and reinforcing factors (culture. Policies and organization were not perfect; there were limited staff skilled in providing health promotion in the community. Conclusion CVDs were identified by the communities as priority health problems. Future health programs should focus on smoking, physical inactivity and unhealthy eating behaviours. Behaviour change strategies should take predisposing factors, enabling factors and reinforcing factors into consideration. Policies, organization and human resource need strengthening.

Adapting spring wheat breeding to the needs of the organic sector

NARCIS (Netherlands)

Osman, A.M.; Almekinders, C.J.M.; Struik, P.C.; Lammerts van Bueren, E.T.

2016-01-01

Organic farmers and food processors need plant varieties that are adapted to their crop husbandry and processing practices. Such varieties are scarce as the mainstream breeding sector focuses on developing varieties for the conventional product chain that has different goals and practices. In

Evaluation of Cost Models and Needs & Gaps Analysis

DEFF Research Database (Denmark)

Kejser, Ulla Bøgvad

2014-01-01

they breakdown costs. This is followed by an in depth analysis of stakeholders’ needs for financial information derived from the 4C project stakeholder consultation.The stakeholders’ needs analysis indicated that models should:• support accounting, but more importantly they should enable budgeting• be able......his report ’D3.1—Evaluation of Cost Models and Needs & Gaps Analysis’ provides an analysis of existing research related to the economics of digital curation and cost & benefit modelling. It reports upon the investigation of how well current models and tools meet stakeholders’ needs for calculating...... andcomparing financial information. Based on this evaluation, it aims to point out gaps that need to be bridged in order to increase the uptake of cost & benefit modelling and good practices that will enable costing and comparison of the costs of alternative scenarios—which in turn provides a starting point...

Participatory plant breeding and organic agriculture: A synergistic model for organic variety development in the United States

Directory of Open Access Journals (Sweden)

Adrienne C. Shelton

2016-12-01

Full Text Available Abstract Organic farmers require improved varieties that have been adapted to their unique soils, nutrient inputs, management practices, and pest pressures. One way to develop adapted varieties is to situate breeding programs in the environment of intended use, such as directly on organic farms, and in collaboration with organic farmers. This model is a form of participatory plant breeding, and was originally created in order to meet the needs of under-served, small-scale farmers in developing countries. A robust body of literature supports the quantitative genetic selection theory of participatory plant breeding, and helps to explain its increasing prevalence among organic breeding projects in the United States. The history of the organic farming movement in the United States highlights the cultural relevance of engaging organic farmers in the breeding process, complementing the biological rationale for participatory plant breeding. In addition, limited private investment in organic plant breeding encourages the involvement of plant breeders at public institutions. This paper synthesizes the biological, cultural, and economic justifications for utilizing participatory plant breeding as an appropriate methodology for organic cultivar development.

A Simulation Model of Combined Biogas, Bioethanol and Protein Fodder Co-Production in Organic Farming

DEFF Research Database (Denmark)

Oleskowicz-Popiel, Piotr; Thomsen, Mette Hedegaard; Thomsen, Anne Belinda

2009-01-01

In order to evaluate new strategies for the production of renewable energy within sustainable organic agriculture, a process-simulation model for a 100 ha organic farm was developed. Data used for the model was obtained from laboratory trials, literature data, consultancy with experts, and results...... ha organic farm with ethanol or biogas, respectively. This calculation was based on the assumption that the electrical efficiency of CHP (combined heat and power) unit was 38%. A variety of different scenarios can be simulated to mirror the farmer's needs....

Towards a paradigm shift in the modeling of soil organic carbon decomposition for earth system models

Science.gov (United States)

He, Yujie

Soils are the largest terrestrial carbon pools and contain approximately 2200 Pg of carbon. Thus, the dynamics of soil carbon plays an important role in the global carbon cycle and climate system. Earth System Models are used to project future interactions between terrestrial ecosystem carbon dynamics and climate. However, these models often predict a wide range of soil carbon responses and their formulations have lagged behind recent soil science advances, omitting key biogeochemical mechanisms. In contrast, recent mechanistically-based biogeochemical models that explicitly account for microbial biomass pools and enzyme kinetics that catalyze soil carbon decomposition produce notably different results and provide a closer match to recent observations. However, a systematic evaluation of the advantages and disadvantages of the microbial models and how they differ from empirical, first-order formulations in soil decomposition models for soil organic carbon is still needed. This dissertation consists of a series of model sensitivity and uncertainty analyses and identifies dominant decomposition processes in determining soil organic carbon dynamics. Poorly constrained processes or parameters that require more experimental data integration are also identified. This dissertation also demonstrates the critical role of microbial life-history traits (e.g. microbial dormancy) in the modeling of microbial activity in soil organic matter decomposition models. Finally, this study surveys and synthesizes a number of recently published microbial models and provides suggestions for future microbial model developments.

The model selection in the process of teambuilding for the management of the organization

OpenAIRE

Sergey Petrov

2010-01-01

Improving competitiveness of organizations necessary for their success in a market economy is no longer possible only due to material resources. This implies need for qualitatively new approach to human capital. The author reviews approaches to team building and suggests team management model based on situations-cases in which the organized one way or another team reaches goal.

The role of community-based and philanthropic organizations in meeting cancer patient and caregiver needs.

Science.gov (United States)

Shelby, Rebecca A; Taylor, Kathryn L; Kerner, Jon F; Coleman, Ellen; Blum, Diane

2002-01-01

We examined information from community-based and philanthropic organizations to document the cancer-related services that are currently available, establish which services are still needed, and determine who utilizes these formal support networks. In Phase I, 32 of 41 eligible organizations participated in a survey conducted from December 1999 to March 2000. The most common mission focus among participating organizations was information/referral-centered. The most common services provided were referrals to information resources and provision of cancer-related information. Only two of the organizations in Phase I provided client demographic information and both indicated that client populations were predominantly white, female, and over age 40. Phase II of the study involved analyzing patient data from Cancer Care, Inc., a national service organizations for cancer patients. Between 1983 and 1997, there were 2,714 prostate cancer patients and 9,451 breast cancer patients included in the Cancer Care database. Their most commonly reported problems were related to personal adjustment to illness, financial, home care, and transportation needs. There were significant differences in problems reported depending upon age and disease status. In addition, the results of this study support the idea that those at highest risk for developing and dying of cancer are the least likely to utilize formal support networks. Further, a gap in service provision for assistance with practical needs (e.g., transportation, home care, child care, psychosocial support) was identified. Due to the increasing use of outpatient care for cancer patients, a greater demand for practical assistance can be expected in the future. The availability of practical services will need to be increased in order to effectively meet cancer patient needs.

Managing the conflict between individual needs and group interests--ethical leadership in health care organizations.

Science.gov (United States)

Shale, Suzanne

2008-03-01

This paper derives from a grounded theory study of how Medical Directors working within the UK National Health Service manage the moral quandaries that they encounter as leaders of health care organizations. The reason health care organizations exist is to provide better care for individuals through providing shared resources for groups of people. This creates a paradox at the heart of health care organization, because serving the interests of groups sometimes runs counter to serving the needs of individuals. The paradox presents ethical dilemmas at every level of the organization, from the boardroom to the bedside. Medical Directors experience these organizational ethical dilemmas most acutely by virtue of their position in the organization. As doctors, their professional ethic obliges them to put the interests of individual patients first. As executive directors, their role is to help secure the delivery of services that meet the needs of the whole patient population. What should they do when the interests of groups of patients, and of individual patients, appear to conflict? The first task of an ethical healthcare organization is to secure the trust of patients, and two examples of medical ethical leadership are discussed against this background. These examples suggest that conflict between individual and population needs is integral to health care organization, so dilemmas addressed at one level of the organization inevitably re-emerge in altered form at other levels. Finally, analysis of the ethical activity that Medical Directors have described affords insight into the interpersonal components of ethical skill and knowledge.

3D Bioprinting of Tissue/Organ Models.

Science.gov (United States)

Pati, Falguni; Gantelius, Jesper; Svahn, Helene Andersson

2016-04-04

In vitro tissue/organ models are useful platforms that can facilitate systematic, repetitive, and quantitative investigations of drugs/chemicals. The primary objective when developing tissue/organ models is to reproduce physiologically relevant functions that typically require complex culture systems. Bioprinting offers exciting prospects for constructing 3D tissue/organ models, as it enables the reproducible, automated production of complex living tissues. Bioprinted tissues/organs may prove useful for screening novel compounds or predicting toxicity, as the spatial and chemical complexity inherent to native tissues/organs can be recreated. In this Review, we highlight the importance of developing 3D in vitro tissue/organ models by 3D bioprinting techniques, characterization of these models for evaluating their resemblance to native tissue, and their application in the prioritization of lead candidates, toxicity testing, and as disease/tumor models. © 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Health and research organization to meet complex needs of developing energy technologies

International Nuclear Information System (INIS)

Griffith, R.V.

1980-01-01

At the Lawrence Livermore Laboratory, a unique safety technology organization has been established that is especially geared to respond to interdisciplinary health and safety questions in response to rapidly growing energy technology problems. This concept can be adopted by smaller organizations at a more modest cost, and still maintains the efficiency, flexibility, and technical rigor that are needed more and more in support of any industry health and safety problem. The separation of the technology development role from the operation safety organization allows the operational safety specialists to spend more time upgrading the occupational health and safety program but yet provides the opportunity for interchange with health and safety technology development specialists. In fact, a personnel assignment flow between an operational health and safety organization and a special technology development organization provides a mechanism for upgrading the overall safety capability and program provided by a given industrial or major laboratory

[Structural Equation Modeling on Living and Brain Death Organ Donation Intention in Nursing Students].

Science.gov (United States)

Kim, Eun A; Choi, So Eun

2015-12-01

The purpose of this study was to test and validate a model to predict living and brain death organ donation intention in nursing students. The conceptual model was based on the theory planned behavior. Quota sampling methodology was used to recruit 921 nursing students from all over the country and data collection was done from October 1 to December 20, 2013. The model fit indices for the hypothetical model were suitable for the recommended level. Knowledge, attitude, subjective norm and perceived behavioral control explained 40.2% and 40.1% respectively for both living and brain death organ donation intention. Subjective norm was the most direct influential factor for organ donation intention. Knowledge had significant direct effect on attitude and indirect effect on subjective norm and perceived behavioral control. These effects were higher in brain death organ donation intention than in living donation intention. The overall findings of this study suggest the need to develop systematic education programs to increases knowledge about brain death organ donation. The development, application, and evaluation of intervention programs are required to improve subjective norm.

The Irish organic food market: shortfalls, opportunities and the need for research.

Science.gov (United States)

Tobin, Rachel; Larkin, Tracey; Moane, Siobhan

2011-09-01

In 2009 the Irish organic food market was forecasted to grow from €120 m to €239 m by 2013; however, recent figures set its value at just €90 m. An estimated 70% of this market is imported. Surveys of Irish consumers reveal that 66% of consumers prefer to buy local produce and most organic consumers are buying organic at supermarkets. This evidence reveals that Irish producers must trade at supermarkets, and promote 'local produce' to ensure their produce reach the majority of buyers. Seventy-eight % of organic rejecters state price and 21% state unawareness of the benefits as reasons for not buying organic. Many Irish consumers are buying organic food on the perceived belief that it is healthier, safer and tastes better; however, a review of studies on organic versus conventional foods in terms of health benefits, safety and sensory quality has shown that existing data is limited in scope and fails to show a clear trend. The review concludes with the need for a comprehensive study of a range of organic and conventional foods available to the Irish consumer in order to determine if differences in organic cultivation result in statistically significant differences in health linked compounds and sensory quality. Copyright © 2011 Society of Chemical Industry.

Modelling organic particles in the atmosphere

International Nuclear Information System (INIS)

Couvidat, Florian

2012-01-01

Organic aerosol formation in the atmosphere is investigated via the development of a new model named H 2 O (Hydrophilic/Hydrophobic Organics). First, a parameterization is developed to take into account secondary organic aerosol formation from isoprene oxidation. It takes into account the effect of nitrogen oxides on organic aerosol formation and the hydrophilic properties of the aerosols. This parameterization is then implemented in H 2 O along with some other developments and the results of the model are compared to organic carbon measurements over Europe. Model performance is greatly improved by taking into account emissions of primary semi-volatile compounds, which can form secondary organic aerosols after oxidation or can condense when temperature decreases. If those emissions are not taken into account, a significant underestimation of organic aerosol concentrations occurs in winter. The formation of organic aerosols over an urban area was also studied by simulating organic aerosols concentration over the Paris area during the summer campaign of Megapoli (July 2009). H 2 O gives satisfactory results over the Paris area, although a peak of organic aerosol concentrations from traffic, which does not appear in the measurements, appears in the model simulation during rush hours. It could be due to an underestimation of the volatility of organic aerosols. It is also possible that primary and secondary organic compounds do not mix well together and that primary semi volatile compounds do not condense on an organic aerosol that is mostly secondary and highly oxidized. Finally, the impact of aqueous-phase chemistry was studied. The mechanism for the formation of secondary organic aerosol includes in-cloud oxidation of glyoxal, methylglyoxal, methacrolein and methylvinylketone, formation of methyltetrols in the aqueous phase of particles and cloud droplets, and the in-cloud aging of organic aerosols. The impact of wet deposition is also studied to better estimate the

Ethical models in bioethics: theory and application in organ allocation policies.

Science.gov (United States)

Petrini, C

2010-12-01

Policies for allocating organs to people awaiting a transplant constitute a major ethical challenge. First and foremost, they demand balance between the principles of beneficence and justice, but many other ethically relevant principles are also involved: autonomy, responsibility, equity, efficiency, utility, therapeutic outcome, medical urgency, and so forth. Various organ allocation models can be developed based on the hierarchical importance assigned to a given principle over the others, but none of the principles should be completely disregarded. An ethically acceptable organ allocation policy must therefore be in conformity, to a certain extent, with the requirements of all the principles. Many models for organ allocation can be derived. The utilitarian model aims to maximize benefits, which can be of various types on a social or individual level, such as the number of lives saved, prognosis, and so forth. The prioritarian model favours the neediest or those who suffer most. The egalitarian model privileges equity and justice, suggesting that all people should have an equal opportunity (casual allocation) or priority should be given to those who have been waiting longer. The personalist model focuses on each individual patient, attempting to mesh together all the various aspects affecting the person: therapeutic needs (urgency), fairness, clinical outcomes, respect for persons. In the individualistic model the main element is free choice and the system of opting-in is privileged. Contrary to the individualistic model, the communitarian model identities in the community the fundamental elements for the legitimacy of choices: therefore, the system of opting-out is privileged. This article does not aim at suggesting practical solutions. Rather, it furnishes to decision makers an overview on the possible ethical approach to this matter.

Advancing organizational health literacy in health care organizations serving high-needs populations: a case study.

Science.gov (United States)

Weaver, Nancy L; Wray, Ricardo J; Zellin, Stacie; Gautam, Kanak; Jupka, Keri

2012-01-01

Health care organizations, well positioned to address health literacy, are beginning to shift their systems and policies to support health literacy efforts. Organizations can identify barriers, emphasize and leverage their strengths, and initiate activities that promote health literacy-related practices. The current project employed an open-ended approach to conduct a needs assessment of rural federally qualified health center clinics. Using customized assessment tools, the collaborators were then able to determine priorities for changing organizational structures and policies in order to support continued health literacy efforts. Six domains of organizational health literacy were measured with three methods: environmental assessments, patient interviews, and key informant interviews with staff and providers. Subsequent strategic planning was conducted by collaborators from the academic and clinic teams and resulted in a focused, context-appropriate action plan. The needs assessment revealed several gaps in organizational health literacy practices, such as low awareness of health literacy within the organization and variation in perceived values of protocols, interstaff communication, and patient communication. Facilitators included high employee morale and patient satisfaction. The resulting targeted action plan considered the organization's culture as revealed in the interviews, informing a collaborative process well suited to improving organizational structures and systems to support health literacy best practices. The customized needs assessment contributed to an ongoing collaborative process to implement organizational changes that aided in addressing health literacy needs.

Space Biology Model Organism Research on the Deep Space Gateway to Pioneer Discovery and Advance Human Space Exploration

Science.gov (United States)

Sato, K. Y.; Tomko, D. L.; Levine, H. G.; Quincy, C. D.; Rayl, N. A.; Sowa, M. B.; Taylor, E. M.; Sun, S. C.; Kundrot, C. E.

2018-02-01

Model organisms are foundational for conducting physiological and systems biology research to define how life responds to the deep space environment. The organisms, areas of research, and Deep Space Gateway capabilities needed will be presented.

Modeling self-organization of novel organic materials

Science.gov (United States)

Sayar, Mehmet

In this thesis, the structural organization of oligomeric multi-block molecules is analyzed by computational analysis of coarse-grained models. These molecules form nanostructures with different dimensionalities, and the nanostructured nature of these materials leads to novel structural properties at different length scales. Previously, a number of oligomeric triblock rodcoil molecules have been shown to self-organize into mushroom shaped noncentrosymmetric nanostructures. Interestingly, thin films of these molecules contain polar domains and a finite macroscopic polarization. However, the fully polarized state is not the equilibrium state. In the first chapter, by solving a model with dipolar and Ising-like short range interactions, we show that polar domains are stable in films composed of aggregates as opposed to isolated molecules. Unlike classical molecular systems, these nanoaggregates have large intralayer spacings (a ≈ 6 nm), leading to a reduction in the repulsive dipolar interactions that oppose polar order within layers. This enables the formation of a striped pattern with polar domains of alternating directions. The energies of the possible structures at zero temperature are computed exactly and results of Monte Carlo simulations are provided at non-zero temperatures. In the second chapter, the macroscopic polarization of such nanostructured films is analyzed in the presence of a short range surface interaction. The surface interaction leads to a periodic domain structure where the balance between the up and down domains is broken, and therefore films of finite thickness have a net macroscopic polarization. The polarization per unit volume is a function of film thickness and strength of the surface interaction. Finally, in chapter three, self-organization of organic molecules into a network of one dimensional objects is analyzed. Multi-block organic dendron rodcoil molecules were found to self-organize into supramolecular nanoribbons (threads) and

Scientists' Needs in Software Ecosystem Modeling

NARCIS (Netherlands)

Jansen, Slinger; Handoyo, Eko; Alves, C.

2015-01-01

Currently the landscape of software ecosystem modelling methods and languages is like Babel after the fall of the tower: there are many methods and languages available and interchanging data between researchers and organizations that actively govern their ecosystem, is practically impossible. The

Identifying the Need for Counseling Services in Organization and Industry in Malaysia.

Science.gov (United States)

Mohamed, Othman

Studies on the need for counseling services were conducted at three separate corporate settings in Malaysia. The three organizations were the National Institute of Public Administration Malaysia; Syarikat Telekom Malaysia Berhad; and the Johor Port Authority. Subjects included 129 supervisory officers and 135 supervisees at the National Institute…

Estimation of anisotropy parameters in organic-rich shale: Rock physics forward modeling approach

Energy Technology Data Exchange (ETDEWEB)

Herawati, Ida, E-mail: ida.herawati@students.itb.ac.id; Winardhi, Sonny; Priyono, Awali [Mining and Petroleum Engineering Faculty, Institut Teknologi Bandung, Bandung, 40132 (Indonesia)

2015-09-30

Anisotropy analysis becomes an important step in processing and interpretation of seismic data. One of the most important things in anisotropy analysis is anisotropy parameter estimation which can be estimated using well data, core data or seismic data. In seismic data, anisotropy parameter calculation is generally based on velocity moveout analysis. However, the accuracy depends on data quality, available offset, and velocity moveout picking. Anisotropy estimation using seismic data is needed to obtain wide coverage of particular layer anisotropy. In anisotropic reservoir, analysis of anisotropy parameters also helps us to better understand the reservoir characteristics. Anisotropy parameters, especially ε, are related to rock property and lithology determination. Current research aims to estimate anisotropy parameter from seismic data and integrate well data with case study in potential shale gas reservoir. Due to complexity in organic-rich shale reservoir, extensive study from different disciplines is needed to understand the reservoir. Shale itself has intrinsic anisotropy caused by lamination of their formed minerals. In order to link rock physic with seismic response, it is necessary to build forward modeling in organic-rich shale. This paper focuses on studying relationship between reservoir properties such as clay content, porosity and total organic content with anisotropy. Organic content which defines prospectivity of shale gas can be considered as solid background or solid inclusion or both. From the forward modeling result, it is shown that organic matter presence increases anisotropy in shale. The relationships between total organic content and other seismic properties such as acoustic impedance and Vp/Vs are also presented.

Estimation of anisotropy parameters in organic-rich shale: Rock physics forward modeling approach

International Nuclear Information System (INIS)

Herawati, Ida; Winardhi, Sonny; Priyono, Awali

2015-01-01

Anisotropy analysis becomes an important step in processing and interpretation of seismic data. One of the most important things in anisotropy analysis is anisotropy parameter estimation which can be estimated using well data, core data or seismic data. In seismic data, anisotropy parameter calculation is generally based on velocity moveout analysis. However, the accuracy depends on data quality, available offset, and velocity moveout picking. Anisotropy estimation using seismic data is needed to obtain wide coverage of particular layer anisotropy. In anisotropic reservoir, analysis of anisotropy parameters also helps us to better understand the reservoir characteristics. Anisotropy parameters, especially ε, are related to rock property and lithology determination. Current research aims to estimate anisotropy parameter from seismic data and integrate well data with case study in potential shale gas reservoir. Due to complexity in organic-rich shale reservoir, extensive study from different disciplines is needed to understand the reservoir. Shale itself has intrinsic anisotropy caused by lamination of their formed minerals. In order to link rock physic with seismic response, it is necessary to build forward modeling in organic-rich shale. This paper focuses on studying relationship between reservoir properties such as clay content, porosity and total organic content with anisotropy. Organic content which defines prospectivity of shale gas can be considered as solid background or solid inclusion or both. From the forward modeling result, it is shown that organic matter presence increases anisotropy in shale. The relationships between total organic content and other seismic properties such as acoustic impedance and Vp/Vs are also presented

PENERAPAN MODEL PEMBELAJARAN ADVANCE ORGANIZER BERVISI SETS TERHADAP PENINGKATAN PENGUASAAN KONSEP KIMIA

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Ilam Pratitis

2015-11-01

Full Text Available This study aims to determine the effect of the application of learning model with advance organizer envisions SETS to increase mastery of chemistry concepts in the high school in Semarang on buffer solution material. The design used in this research is the design of the control group non equivalent. Sampling was conducted with a purposive sampling technique, and obtained a XI 6 science grade as experimental class and class XI 5 science grade as control class. Data collection method used is the method of documentation, testing, observation, and questionnaires. The results showed that the average cognitive achievement of experimental class was 84, while the control class was 82. The result of data analysis showed that the effect of the application of learning model with advance organizer envisions SETS was able to increase the mastery of chemical concepts of 4%, with a correlation rate of 0.2. Based on the results, it can be concluded that the learning model with advance organizer envisions SETS had positive effect of increasing mastery of the concept of chemistry on buffer solution material. The advice given is learning model with organizer envisions SETS should also be applied to other chemistry materials. This is of course accompanied by a change in order to suit the needs of its effect on learning outcomes in the form of concept mastery of chemistry to be more increased.Keywords: Advance Organizer, Buffer Solution, Concept Mastery, SETS

Threshold amounts of organic carbon needed to initiate reductive dechlorination in groundwater systems

Science.gov (United States)

Chapelle, Francis H.; Thomas, Lashun K.; Bradley, Paul M.; Rectanus, Heather V.; Widdowson, Mark A.

2012-01-01

Aquifer sediment and groundwater chemistry data from 15 Department of Defense facilities located throughout the United States were collected and analyzed with the goal of estimating the amount of natural organic carbon needed to initiate reductive dechlorination in groundwater systems. Aquifer sediments were analyzed for hydroxylamine and NaOH-extractable organic carbon, yielding a probable underestimate of potentially bioavailable organic carbon (PBOC). Aquifer sediments were also analyzed for total organic carbon (TOC) using an elemental combustion analyzer, yielding a probable overestimate of bioavailable carbon. Concentrations of PBOC correlated linearly with TOC with a slope near one. However, concentrations of PBOC were consistently five to ten times lower than TOC. When mean concentrations of dissolved oxygen observed at each site were plotted versus PBOC, it showed that anoxic conditions were initiated at approximately 200 mg/kg of PBOC. Similarly, the accumulation of reductive dechlorination daughter products relative to parent compounds increased at a PBOC concentration of approximately 200 mg/kg. Concentrations of total hydrolysable amino acids (THAA) in sediments also increased at approximately 200 mg/kg, and bioassays showed that sediment CO2 production correlated positively with THAA. The results of this study provide an estimate for threshold amounts of bioavailable carbon present in aquifer sediments (approximately 200 mg/kg of PBOC; approximately 1,000 to 2,000 mg/kg of TOC) needed to support reductive dechlorination in groundwater systems.

Current developments in soil organic matter modeling and the expansion of model applications: a review

International Nuclear Information System (INIS)

Campbell, Eleanor E; Paustian, Keith

2015-01-01

Soil organic matter (SOM) is an important natural resource. It is fundamental to soil and ecosystem functions across a wide range of scales, from site-specific soil fertility and water holding capacity to global biogeochemical cycling. It is also a highly complex material that is sensitive to direct and indirect human impacts. In SOM research, simulation models play an important role by providing a mathematical framework to integrate, examine, and test the understanding of SOM dynamics. Simulation models of SOM are also increasingly used in more ‘applied’ settings to evaluate human impacts on ecosystem function, and to manage SOM for greenhouse gas mitigation, improved soil health, and sustainable use as a natural resource. Within this context, there is a need to maintain a robust connection between scientific developments in SOM modeling approaches and SOM model applications. This need forms the basis of this review. In this review we first provide an overview of SOM modeling, focusing on SOM theory, data-model integration, and model development as evidenced by a quantitative review of SOM literature. Second, we present the landscape of SOM model applications, focusing on examples in climate change policy. We conclude by discussing five areas of recent developments in SOM modeling including: (1) microbial roles in SOM stabilization; (2) modeling SOM saturation kinetics; (3) temperature controls on decomposition; (4) SOM dynamics in deep soil layers; and (5) SOM representation in earth system models. Our aim is to comprehensively connect SOM model development to its applications, revealing knowledge gaps in need of focused interdisciplinary attention and exposing pitfalls that, if avoided, can lead to best use of SOM models to support policy initiatives and sustainable land management solutions. (topical review)

A Behavioral Maturity Model to Establish Knowledge Management in an Organization

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C. S. Fashami

2017-06-01

Full Text Available Modern organizations need intangible assets such as organizational knowledge and human resources to gain competitive advantage in the market. Organizations can provide opportunities for behavioral maturity of managers to establish knowledge management. This study tries to develop a behavioral maturity model for managements to examine effectiveness of knowledge management. The study is conducted in Iran Insurance Company as an empirical case study. Twenty academic and organizational experts are selected for the study. Employees and managers of Iran Insurance Company are used to measure and test conceptual model (behavioral maturity of managers to establish knowledge management. Both interview and questionnaire tools are used to collect data. Fuzzy AHP and PLS methods are used to analyze the collected data. Fuzzy AHP results show that transformational leadership, human and social skills, knowledge orientation, emotional intelligence, trustful climate are identified as highly effective priorities.

Effectively Serving the Needs of Today's Business Student: The Product Life Cycle Approach to Class Organization

Science.gov (United States)

Eastman, Jacqueline K.; Aviles, Maria; Hanna, Mark

2012-01-01

We illustrate a class organization process utilizing the concept of the Product Life Cycle to meet the needs of today's millennial student. In the Introduction stage of a business course, professors need to build structure to encourage commitment. In the Growth stage, professors need to promote the structure through multiple, brief activities that…

Investigating ecological speciation in non-model organisms

DEFF Research Database (Denmark)

Foote, Andrew David

2012-01-01

Background: Studies of ecological speciation tend to focus on a few model biological systems. In contrast, few studies on non-model organisms have been able to infer ecological speciation as the underlying mechanism of evolutionary divergence. Questions: What are the pitfalls in studying ecological...... speciation in non-model organisms that lead to this bias? What alternative approaches might redress the balance? Organism: Genetically differentiated types of the killer whale (Orcinus orca) exhibiting differences in prey preference, habitat use, morphology, and behaviour. Methods: Review of the literature...... on killer whale evolutionary ecology in search of any difficulty in demonstrating causal links between variation in phenotype, ecology, and reproductive isolation in this non-model organism. Results: At present, we do not have enough evidence to conclude that adaptive phenotype traits linked to ecological...

Cardiac Electromechanical Models: From Cell to Organ

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Natalia A Trayanova

2011-08-01

Full Text Available The heart is a multiphysics and multiscale system that has driven the development of the most sophisticated mathematical models at the frontiers of computation physiology and medicine. This review focuses on electromechanical (EM models of the heart from the molecular level of myofilaments to anatomical models of the organ. Because of the coupling in terms of function and emergent behaviors at each level of biological hierarchy, separation of behaviors at a given scale is difficult. Here, a separation is drawn at the cell level so that the first half addresses subcellular/single cell models and the second half addresses organ models. At the subcelluar level, myofilament models represent actin-myosin interaction and Ca-based activation. Myofilament models and their refinements represent an overview of the development in the field. The discussion of specific models emphasizes the roles of cooperative mechanisms and sarcomere length dependence of contraction force, considered the cellular basis of the Frank-Starling law. A model of electrophysiology and Ca handling can be coupled to a myofilament model to produce an EM cell model, and representative examples are summarized to provide an overview of the progression of field. The second half of the review covers organ-level models that require solution of the electrical component as a reaction-diffusion system and the mechanical component, in which active tension generated by the myocytes produces deformation of the organ as described by the equations of continuum mechanics. As outlined in the review, different organ-level models have chosen to use different ionic and myofilament models depending on the specific application; this choice has been largely dictated by compromises between model complexity and computational tractability. The review also addresses application areas of EM models such as cardiac resynchronization therapy and the role of mechano-electric coupling in arrhythmias and

Evaluating analytical ionization quenching correction models for 3D liquid organic scintillator detector

Science.gov (United States)

Alsanea, F.; Beddar, S.

2017-05-01

Proton therapy offers dosimetric advantage over conventional photon therapy due to the finite range of the proton beam, which improves dose conformity. However, one of the main challenges of proton beam therapy is verification of the complex treatment plans delivered to a patient. Thus, 3D measurements are needed to verify the complex dose distribution. A 3D organic scintillator detector is capable of such measurements. However, organic scintillators exhibit a non-linear relation to the ionization density called ionization quenching. The ionization quenching phenomenon in organic scintillators must be accounted for to obtain accurate dose measurements. We investigated the energy deposition by secondary electrons (EDSE) model to explain ionization quenching in 3D liquid organic scintillator when exposed to proton beams. The EDSE model was applied to volumetric scintillation measurement of proton pencil beam with energies of 85.6, 100.9, 144.9 and 161.9 MeV. The quenching parameter in EDSE model ρq was determined by plotting the total light output vs the initial energy of the ion. The results were compared to the Birks semi-empirical formula of scintillation light emission.

Nephrology around Europe: organization models and management strategies: Spain.

Science.gov (United States)

de Francisco, Angel L M; Piñera, Celestino

2011-01-01

The main aim of this report is to present a picture of the current organization of nephrology in Spain. The Spanish health system offers almost universal coverage, a wide variety of services and a high-quality network of hospitals and primary care centers. Spain has a specialized health care training system that is highly developed, highly regulated, with the capacity to provide high-quality training in 54 different specialties. Nephrology is basically a hospital-based specialty. There are no private dialysis patients in Spain. Hemodialysis centers are 40% public, 15% private and 45% run by companies. The National Health System covers 95% of the population, and there is no cost to patients for treatment of renal disease (dialysis and transplant). We observed a clear decrease of nephrology in residents' election rankings, with position 29 out of 47 specialties in 2007. Some of the reasons for this are the complexity of the subject, no clear information at the university, reduction of professional posts and a very good public service with minimal private practice. In Spain, a model of organization for transplantation was adopted based on a decentralized transplant coordinating network. For cadaveric donors, it compares favorably with rates in other Western countries. Living donor transplantation is very low in Spain--just 10% of total renal transplantation activity. New programs due to financial constraints need to include reduced dialysis costs, greater cost-effectiveness of prescriptions, better handling of ethical issues related to the need for using a clinical score of chronic kidney disease patients to make decisions about conservative or renal replacement therapy and an action plan for improvement of organ donation and transplantation. Recovery of skills (acute kidney injury, biopsies, vascular access, etc.), research and advances in autonomous activities (imaging, surgical and medical vascular training, etc.) are some of the future educational paths needed in

Modeling Secondary Organic Aerosol Formation From Emissions of Combustion Sources

Science.gov (United States)

Jathar, Shantanu Hemant

-only model suggested that differences in the volatility of the precursors were able to explain most of the variability observed in the SOA formation. For aircraft exhaust, the previous methods to simulate SOA formation from SVOC and IVOC performed poorly. A more physically-realistic modeling framework was developed, which was then used to show that SOA formation from aircraft exhaust was (a) higher for petroleum-based than synthetically derived jet fuel and (b) higher at lower engine loads and vice versa. All of the SOA data from combustion emissions experiments were used to determine source-specific parameterizations to model SOA formation from SVOC, IVOC and other unspeciated emissions. The new parameterizations were used to investigate their influence on the OA budget in the United States. Combustion sources were estimated to emit about 2.61 Tg yr-1 of SVOC, 1VOC and other unspeciated emissions (sixth of the total anthropogenic organic emissions), which are predicted to double SOA production from combustion sources in the United States. The contribution of SVOC and IVOC emissions to global SOA formation was assessed using a global climate model. Simulations were performed using a modified version of GISS GCM 11'. The modified model predicted that SVOC and IVOC contributed to half of the OA mass in the atmosphere. Their inclusion improved OA model-measurement comparisons for absolute concentrations, POA-SOA split and volatility (gas-particle partitioning) globally suggesting that atmospheric models need to incorporate SOA formation from SVOC and IVOC if they are to reasonably predict the abundance and properties of aerosols. This thesis demonstrates that SVOC/IVOC and possibly other unspeciated organics emitted by combustion sources are very important precursors of SOA and potentially large contributors to the atmospheric aerosol mass. Models used for research and policy applications need to represent them to improve model-predictions of aerosols on climate and health

Generic Modelling of Faecal Indicator Organism Concentrations in the UK

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Carl M. Stapleton

2011-06-01

Full Text Available To meet European Water Framework Directive requirements, data are needed on faecal indicator organism (FIO concentrations in rivers to enable the more heavily polluted to be targeted for remedial action. Due to the paucity of FIO data for the UK, especially under high-flow hydrograph event conditions, there is an urgent need by the policy community for generic models that can accurately predict FIO concentrations, thus informing integrated catchment management programmes. This paper reports the development of regression models to predict base- and high-flow faecal coliform (FC and enterococci (EN concentrations for 153 monitoring points across 14 UK catchments, using land cover, population (human and livestock density and other variables that may affect FIO source strength, transport and die-off. Statistically significant models were developed for both FC and EN, with greater explained variance achieved in the high-flow models. Both land cover and, in particular, population variables are significant predictors of FIO concentrations, with r2 maxima for EN of 0.571 and 0.624, respectively. It is argued that the resulting models can be applied, with confidence, to other UK catchments, both to predict FIO concentrations in unmonitored watercourses and evaluate the likely impact of different land use/stocking level and human population change scenarios.

Additional Research Needs to Support the GENII Biosphere Models

Energy Technology Data Exchange (ETDEWEB)

Napier, Bruce A. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Snyder, Sandra F. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Arimescu, Carmen [Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

2013-11-01

In the course of evaluating the current parameter needs for the GENII Version 2 code (Snyder et al. 2013), areas of possible improvement for both the data and the underlying models have been identified. As the data review was implemented, PNNL staff identified areas where the models can be improved both to accommodate the locally significant pathways identified and also to incorporate newer models. The areas are general data needs for the existing models and improved formulations for the pathway models.

Self-Organizing Map Models of Language Acquisition

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Ping eLi

2013-11-01

Full Text Available Connectionist models have had a profound impact on theories of language. While most early models were inspired by the classic PDP architecture, recent models of language have explored various other types of models, including self-organizing models for language acquisition. In this paper we aim at providing a review of the latter type of models, and highlight a number of simulation experiments that we have conducted based on these models. We show that self-organizing connectionist models can provide significant insights into long-standing debates in both monolingual and bilingual language development.

The Time Is Right to Focus on Model Organism Metabolomes

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Arthur S. Edison

2016-02-01

Full Text Available Model organisms are an essential component of biological and biomedical research that can be used to study specific biological processes. These organisms are in part selected for facile experimental study. However, just as importantly, intensive study of a small number of model organisms yields important synergies as discoveries in one area of science for a given organism shed light on biological processes in other areas, even for other organisms. Furthermore, the extensive knowledge bases compiled for each model organism enable systems-level understandings of these species, which enhance the overall biological and biomedical knowledge for all organisms, including humans. Building upon extensive genomics research, we argue that the time is now right to focus intensively on model organism metabolomes. We propose a grand challenge for metabolomics studies of model organisms: to identify and map all metabolites onto metabolic pathways, to develop quantitative metabolic models for model organisms, and to relate organism metabolic pathways within the context of evolutionary metabolomics, i.e., phylometabolomics. These efforts should focus on a series of established model organisms in microbial, animal and plant research.

Modelling uptake into roots and subsequent translocation of neutral and ionisable organic compounds

DEFF Research Database (Denmark)

Trapp, Stefan

2000-01-01

A study on uptake of neutral and dissociating organic compounds from soil solution into roots, and their subsequent translocation, was undertaken using model simulations. The model approach combines the processes of lipophilic sorption, electrochemical interactions, ion trap, advection in xylem...... and dilution by growth. It needs as input data, apart fromplant properties, log KOW, pKa and the valency number of the compound, and pH and chemical concentration in the soil solution. Equilibrium and dynamic (steady-state) models were tested against measured data from several authors, including non...

Towards a theoretical model on medicines as a health need.

Science.gov (United States)

Vargas-Peláez, Claudia Marcela; Soares, Luciano; Rover, Marina Raijche Mattozo; Blatt, Carine Raquel; Mantel-Teeuwisse, Aukje; Rossi Buenaventura, Francisco Augusto; Restrepo, Luis Guillermo; Latorre, María Cristina; López, José Julián; Bürgin, María Teresa; Silva, Consuelo; Leite, Silvana Nair; Mareni Rocha, Farias

2017-04-01

Medicines are considered one of the main tools of western medicine to resolve health problems. Currently, medicines represent an important share of the countries' healthcare budget. In the Latin America region, access to essential medicines is still a challenge, although countries have established some measures in the last years in order to guarantee equitable access to medicines. A theoretical model is proposed for analysing the social, political, and economic factors that modulate the role of medicines as a health need and their influence on the accessibility and access to medicines. The model was built based on a narrative review about health needs, and followed the conceptual modelling methodology for theory-building. The theoretical model considers elements (stakeholders, policies) that modulate the perception towards medicines as a health need from two perspectives - health and market - at three levels: international, national and local levels. The perception towards medicines as a health need is described according to Bradshaw's categories: felt need, normative need, comparative need and expressed need. When those different categories applied to medicines coincide, the patients get access to the medicines they perceive as a need, but when the categories do not coincide, barriers to access to medicines are created. Our theoretical model, which holds a broader view about the access to medicines, emphasises how power structures, interests, interdependencies, values and principles of the stakeholders could influence the perception towards medicines as a health need and the access to medicines in Latin American countries. Copyright © 2017 Elsevier Ltd. All rights reserved.

Organ transplantation in Greece: the need for mediation.

Science.gov (United States)

Zanni, A

2014-11-01

Organ transplants are not regarded as an exclusively medical process, because they involve financial, religious, philosophic, and bioethical parameters. It becomes clear that if they are to achieve their purpose, which we believe extends well beyond the medical dimension, the creation of a comprehensive framework of communication between the involved parties is of paramount importance. The aim of this paper is to present an outline and a number of considerations regarding the communicational, bioethical, and legal issues that arise from a rather dramatic state of affairs in Greece today: In 2012 the rate of organ transplants stood at only 7 per 1 million of the population. The outdated legal framework and the lack of trust on the part of patients and the public have led to a highly inefficient system that is lagging behind in many respects. The proposition made in this paper is that there is a need for a new system of communication between doctors, patients, relatives of patients, and hospitals: bioethical mediation. This is a system that has played a vital role and has produced astounding results in other countries. There is also every indication that the introduction of such a system is crucial for Greece, especially as the symptoms of the acute financial crisis are become fully visible and tangible. Mediation aims to identify solutions that are oriented toward the interests and wishes of patients, are acknowledged and accepted by all parties involved, and are in tune with the values and the principles of medical practice.

Complex Systems and Self-organization Modelling

CERN Document Server

Bertelle, Cyrille; Kadri-Dahmani, Hakima

2009-01-01

The concern of this book is the use of emergent computing and self-organization modelling within various applications of complex systems. The authors focus their attention both on the innovative concepts and implementations in order to model self-organizations, but also on the relevant applicative domains in which they can be used efficiently. This book is the outcome of a workshop meeting within ESM 2006 (Eurosis), held in Toulouse, France in October 2006.

Saccharomyces cerevisiae as a model organism: a comparative study.

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Hiren Karathia

Full Text Available BACKGROUND: Model organisms are used for research because they provide a framework on which to develop and optimize methods that facilitate and standardize analysis. Such organisms should be representative of the living beings for which they are to serve as proxy. However, in practice, a model organism is often selected ad hoc, and without considering its representativeness, because a systematic and rational method to include this consideration in the selection process is still lacking. METHODOLOGY/PRINCIPAL FINDINGS: In this work we propose such a method and apply it in a pilot study of strengths and limitations of Saccharomyces cerevisiae as a model organism. The method relies on the functional classification of proteins into different biological pathways and processes and on full proteome comparisons between the putative model organism and other organisms for which we would like to extrapolate results. Here we compare S. cerevisiae to 704 other organisms from various phyla. For each organism, our results identify the pathways and processes for which S. cerevisiae is predicted to be a good model to extrapolate from. We find that animals in general and Homo sapiens in particular are some of the non-fungal organisms for which S. cerevisiae is likely to be a good model in which to study a significant fraction of common biological processes. We validate our approach by correctly predicting which organisms are phenotypically more distant from S. cerevisiae with respect to several different biological processes. CONCLUSIONS/SIGNIFICANCE: The method we propose could be used to choose appropriate substitute model organisms for the study of biological processes in other species that are harder to study. For example, one could identify appropriate models to study either pathologies in humans or specific biological processes in species with a long development time, such as plants.

Organization And Financing Models Of Health Service In Selected Countries

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Branimir Marković

2009-07-01

Full Text Available The introductory part of the work gives a short theoretical presentation regarding possible financing models of health services in the world. In the applicative part of the work we shall present the basic practical models of financing health services in the countries that are the leaders of classic methods of health services financing, e. g. the USA, Great Britain, Germany and Croatia. Working out the applicative part of the work we gave the greatest significance to analysis of some macroeconomic indicators in health services (tendency of total health consumption in relation to GDP, average consumption per insured person etc., to structure analysis of health insurance and just to the scheme of health service organization and financing. We presume that each model of health service financing contains certain limitations that can cause problem (weak organization, increase of expenses etc.. This is the reason why we, in the applicative part of the work, paid a special attention to analysis of financial difficulties in the health sector and pointed to the needs and possibilities of solving them through possible reform measures. The end part of the work aims to point out to advantages and disadvantages of individual financing sources through the comparison method (budgetary – taxes or social health insurance – contributions.

Self-organizing map models of language acquisition

Science.gov (United States)

Li, Ping; Zhao, Xiaowei

2013-01-01

Connectionist models have had a profound impact on theories of language. While most early models were inspired by the classic parallel distributed processing architecture, recent models of language have explored various other types of models, including self-organizing models for language acquisition. In this paper, we aim at providing a review of the latter type of models, and highlight a number of simulation experiments that we have conducted based on these models. We show that self-organizing connectionist models can provide significant insights into long-standing debates in both monolingual and bilingual language development. We suggest future directions in which these models can be extended, to better connect with behavioral and neural data, and to make clear predictions in testing relevant psycholinguistic theories. PMID:24312061

Organic production in a dynamic CGE model

DEFF Research Database (Denmark)

Jacobsen, Lars Bo

2004-01-01

for conventional production into land for organic production, a period of two years must pass before the land being transformed can be used for organic production. During that time, the land is counted as land of the organic industry, but it can only produce the conventional product. To handle this rule, we make......Concerns about the impact of modern agriculture on the environment have in recent years led to an interest in supporting the development of organic farming. In addition to environmental benefits, the aim is to encourage the provision of other “multifunctional” properties of organic farming...... such as rural amenities and rural development that are spillover benefit additional to the supply of food. In this paper we further develop an existing dynamic general equilibrium model of the Danish economy to specifically incorporate organic farming. In the model and input-output data each primary...

Mathematical model of organic substrate degradation in solid waste windrow composting.

Science.gov (United States)

Seng, Bunrith; Kristanti, Risky Ayu; Hadibarata, Tony; Hirayama, Kimiaki; Katayama-Hirayama, Keiko; Kaneko, Hidehiro

2016-01-01

Organic solid waste composting is a complex process that involves many coupled physical, chemical and biological mechanisms. To understand this complexity and to ease in planning, design and management of the composting plant, mathematical model for simulation is usually applied. The aim of this paper is to develop a mathematical model of organic substrate degradation and its performance evaluation in solid waste windrow composting system. The present model is a biomass-dependent model, considering biological growth processes under the limitation of moisture, oxygen and substrate contents, and temperature. The main output of this model is substrate content which was divided into two categories: slowly and rapidly degradable substrates. To validate the model, it was applied to a laboratory scale windrow composting of a mixture of wood chips and dog food. The wastes were filled into a cylindrical reactor of 6 cm diameter and 1 m height. The simulation program was run for 3 weeks with 1 s stepwise. The simulated results were in reasonably good agreement with the experimental results. The MC and temperature of model simulation were found to be matched with those of experiment, but limited for rapidly degradable substrates. Under anaerobic zone, the degradation of rapidly degradable substrate needs to be incorporated into the model to achieve full simulation of a long period static pile composting. This model is a useful tool to estimate the changes of substrate content during composting period, and acts as a basic model for further development of a sophisticated model.

Virtual Organizations: Trends and Models

Science.gov (United States)

Nami, Mohammad Reza; Malekpour, Abbaas

The Use of ICT in business has changed views about traditional business. With VO, organizations with out physical, geographical, or structural constraint can collaborate with together in order to fulfill customer requests in a networked environment. This idea improves resource utilization, reduces development process and costs, and saves time. Virtual Organization (VO) is always a form of partnership and managing partners and handling partnerships are crucial. Virtual organizations are defined as a temporary collection of enterprises that cooperate and share resources, knowledge, and competencies to better respond to business opportunities. This paper presents an overview of virtual organizations and main issues in collaboration such as security and management. It also presents a number of different model approaches according to their purpose and applications.

A Toolkit Modeling Approach for Sustainable Forest Management Planning: Achieving Balance between Science and Local Needs

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Brian R. Sturtevant

2007-12-01

Full Text Available To assist forest managers in balancing an increasing diversity of resource objectives, we developed a toolkit modeling approach for sustainable forest management (SFM. The approach inserts a meta-modeling strategy into a collaborative modeling framework grounded in adaptive management philosophy that facilitates participation among stakeholders, decision makers, and local domain experts in the meta-model building process. The modeling team works iteratively with each of these groups to define essential questions, identify data resources, and then determine whether available tools can be applied or adapted, or whether new tools can be rapidly created to fit the need. The desired goal of the process is a linked series of domain-specific models (tools that balances generalized "top-down" models (i.e., scientific models developed without input from the local system with case-specific customized "bottom-up" models that are driven primarily by local needs. Information flow between models is organized according to vertical (i.e., between scale and horizontal (i.e., within scale dimensions. We illustrate our approach within a 2.1 million hectare forest planning district in central Labrador, a forested landscape where social and ecological values receive a higher priority than economic values. However, the focus of this paper is on the process of how SFM modeling tools and concepts can be rapidly assembled and applied in new locations, balancing efficient transfer of science with adaptation to local needs. We use the Labrador case study to illustrate strengths and challenges uniquely associated with a meta-modeling approach to integrated modeling as it fits within the broader collaborative modeling framework. Principle advantages of the approach include the scientific rigor introduced by peer-reviewed models, combined with the adaptability of meta-modeling. A key challenge is the limited transparency of scientific models to different participatory groups

Towards integrated modelling of soil organic carbon cycling at landscape scale

Science.gov (United States)

Viaud, V.

2009-04-01

Soil organic carbon (SOC) is recognized as a key factor of the chemical, biological and physical quality of soil. Numerous models of soil organic matter turnover have been developed since the 1930ies, most of them dedicated to plot scale applications. More recently, they have been applied to national scales to establish the inventories of carbon stocks directed by the Kyoto protocol. However, only few studies consider the intermediate landscape scale, where the spatio-temporal pattern of land management practices, its interactions with the physical environment and its impacts on SOC dynamics can be investigated to provide guidelines for sustainable management of soils in agricultural areas. Modelling SOC cycling at this scale requires accessing accurate spatially explicit input data on soils (SOC content, bulk density, depth, texture) and land use (land cover, farm practices), and combining both data in a relevant integrated landscape representation. The purpose of this paper is to present a first approach to modelling SOC evolution in a small catchment. The impact of the way landscape is represented on SOC stocks in the catchment was more specifically addressed. This study was based on the field map, the soil survey, the crop rotations and land management practices of an actual 10-km² agricultural catchment located in Brittany (France). RothC model was used to drive soil organic matter dynamics. Landscape representation in the form of a systematic regular grid, where driving properties vary continuously in space, was compared to a representation where landscape is subdivided into a set of homogeneous geographical units. This preliminary work enabled to identify future needs to improve integrated soil-landscape modelling in agricultural areas.

Overview of geochemical modeling needs for nuclear waste management

International Nuclear Information System (INIS)

Isherwood, D.; Wolery, T.

1984-01-01

Research needs include, but are not limited to: measurement of basic thermodynamic data at elevated temperatures for species identified by modelers as potentially important; evaluation of substances which control or limit precipitation and/or nucleation kinetics; sorption studies specifically designed to provide data needed for modeling. This includes the rate of sorption, desorption, and the characterization of the solid and aqueous phases; site-mixing models and thermodynamic data for secondary minerals that form solid solutions; the development of standard techniques for measuring rate laws for precipitation and dissolution kinetics; and measurement of rate laws describing redox kinetics, dissolution, and precipitation involving aqueous species and solid phases of interest to geochemical modelers

Predicting Mineral N Release during Decomposition of Organic Wastes in Soil by Use of the SOILNNO Model

International Nuclear Information System (INIS)

Sogn, T.A.; Haugen, L.E.

2011-01-01

In order to predict the mineral N release associated with the use of organic waste as fertilizer in agricultural plant production, the adequacy of the SOILN N O model has been evaluated. The original thought was that the model calibrated to data from simple incubation experiments could predict the mineral N release from organic waste products used as N fertilizer on agricultural land. First, the model was calibrated to mineral N data achieved in a laboratory experiment where different organic wastes were added to soil and incubated at 15 degree C for 8 weeks. Secondly, the calibrated model was tested by use of NO 3 -leaching data from soil columns with barley growing in 4 different soil types, added organic waste and exposed to natural climatic conditions during three growing seasons. The SOILN N O model reproduced relatively well the NO 3 -leaching from some of the soils included in the outdoor experiment, but failed to reproduce others. Use of the calibrated model often induced underestimation of the observed NO 3 -leaching. To achieve a satisfactory simulation of the NO 3 -leaching, recalibration of the model had to be carried out. Thus, SOILN N O calibrated to data from simple incubation experiments in the laboratory could not directly be used as a tool to predict the N-leaching following organic waste application in more natural agronomic plant production systems. The results emphasised the need for site- and system-specific data for model calibration before using a model for predictive purposes related to fertilizer N value of organic wastes applied to agricultural land.

LSOT: A Lightweight Self-Organized Trust Model in VANETs

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Zhiquan Liu

2016-01-01

Full Text Available With the advances in automobile industry and wireless communication technology, Vehicular Ad hoc Networks (VANETs have attracted the attention of a large number of researchers. Trust management plays an important role in VANETs. However, it is still at the preliminary stage and the existing trust models cannot entirely conform to the characteristics of VANETs. This work proposes a novel Lightweight Self-Organized Trust (LSOT model which contains trust certificate-based and recommendation-based trust evaluations. Both the supernodes and trusted third parties are not needed in our model. In addition, we comprehensively consider three factor weights to ease the collusion attack in trust certificate-based trust evaluation, and we utilize the testing interaction method to build and maintain the trust network and propose a maximum local trust (MLT algorithm to identify trustworthy recommenders in recommendation-based trust evaluation. Furthermore, a fully distributed VANET scenario is deployed based on the famous Advogato dataset and a series of simulations and analysis are conducted. The results illustrate that our LSOT model significantly outperforms the excellent experience-based trust (EBT and Lightweight Cross-domain Trust (LCT models in terms of evaluation performance and robustness against the collusion attack.

Sustainable Organic Farming For Environmental Health A Social Development Model

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Ijun Rijwan Susanto

2015-05-01

consider the loss that may be experienced by others as the principles for profit has become very prominent. As a result the development of organic agriculture simply stuck into a commercial activity which would be a criticism of the founders One of the factors that led to the involvement of the government regulated organic farming is because of the bickering about what is called organic agricultural products and because many nonorganic products sold as organic products Organic farmers have difficulty in finding locally based seed for organic farming certification of organic farming has changed it is not just the assurance processes into a tradable commodity 3 The Benefits of Organic Farming in Support for Environmental Health organic farming gives a positive impact on public health because it does not cause environmental pollution water air soil by the residues of chemical fertilizers and synthetic chemical pesticides. Besides organic farming also healthy communities through the provision of agricultural products that are free of pesticides and chemical fertilizer residues 4 The Social Development Model of Sustainable Organic Farming Sustainable agriculture organic farming seeks acre balance of three long-term goals namely a Social-cultural to create quality of life to satisfy personal and community needs for health food safety and happines b Environment to Enhance utilization of soil water air and other resourches limited c Economics to be profitable market forces. These objectives can be achieved if supported by organizational-oriented good governance principles of sustainable agriculture. Sustainable agriculture is the implementation of the principles of sustainable development. Sustainable development will be achieved if conducted prior social development within the broad scope of stakeholders 5 The Policy Recomendation for Organic Farming a National Strategic Agenda The Program Go Organic must be forwarded with the 2010 program Go Organic 2020 where the formulation of

Human, Social, Cultural Behavior (HSCB) Modeling Workshop I: Characterizing the Capability Needs for HSCB Modeling

Science.gov (United States)

2008-07-01

The expectations correspond to different roles individuals perform SocialConstructionis Social constructionism is a school of thought Peter L...HUMAN, SOCIAL , CULTURAL BEHAVIOR (HSCB) MODELING WORKSHOP I: CHARACTERIZING THE CAPABILITY NEEDS FOR HSCB MODELING FINAL REPORT... Social , Cultural Behavior (HSCB) Modeling Workshop I: Characterizing the Capability Needs for HSCB Modeling 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c

Mesoscopic kinetic Monte Carlo modeling of organic photovoltaic device characteristics

Science.gov (United States)

Kimber, Robin G. E.; Wright, Edward N.; O'Kane, Simon E. J.; Walker, Alison B.; Blakesley, James C.

2012-12-01

Measured mobility and current-voltage characteristics of single layer and photovoltaic (PV) devices composed of poly{9,9-dioctylfluorene-co-bis[N,N'-(4-butylphenyl)]bis(N,N'-phenyl-1,4-phenylene)diamine} (PFB) and poly(9,9-dioctylfluorene-co-benzothiadiazole) (F8BT) have been reproduced by a mesoscopic model employing the kinetic Monte Carlo (KMC) approach. Our aim is to show how to avoid the uncertainties common in electrical transport models arising from the need to fit a large number of parameters when little information is available, for example, a single current-voltage curve. Here, simulation parameters are derived from a series of measurements using a self-consistent “building-blocks” approach, starting from data on the simplest systems. We found that site energies show disorder and that correlations in the site energies and a distribution of deep traps must be included in order to reproduce measured charge mobility-field curves at low charge densities in bulk PFB and F8BT. The parameter set from the mobility-field curves reproduces the unipolar current in single layers of PFB and F8BT and allows us to deduce charge injection barriers. Finally, by combining these disorder descriptions and injection barriers with an optical model, the external quantum efficiency and current densities of blend and bilayer organic PV devices can be successfully reproduced across a voltage range encompassing reverse and forward bias, with the recombination rate the only parameter to be fitted, found to be 1×107 s-1. These findings demonstrate an approach that removes some of the arbitrariness present in transport models of organic devices, which validates the KMC as an accurate description of organic optoelectronic systems, and provides information on the microscopic origins of the device behavior.

Putting "Organizations" into an Organization Theory Course: A Hybrid CAO Model for Teaching Organization Theory

Science.gov (United States)

Hannah, David R.; Venkatachary, Ranga

2010-01-01

In this article, the authors present a retrospective analysis of an instructor's multiyear redesign of a course on organization theory into what is called a hybrid Classroom-as-Organization model. It is suggested that this new course design served to apprentice students to function in quasi-real organizational structures. The authors further argue…

Modeling needs assessment for Hanford Tank Farm Operations. Vadose Zone Characterization Project at the Hanford Tank Farms

International Nuclear Information System (INIS)

1996-04-01

This report presents the results of a modeling-needs assessment conducted for Tank Farm Operations at the Hanford Site. The goal of this project is to integrate geophysical logging and subsurface transport modeling into a broader decision-based framework that will be made available to guide Tank Farm Operations in implementing future modeling studies. In support of this goal, previous subsurface transport modeling studies were reviewed, and stakeholder surveys and interviews were completed (1) to identify regulatory, stakeholder, and Native American concerns and the impacts of these concerns on Tank Farm Operations, (2) to identify technical constraints that impact site characterization and modeling efforts, and (3) to assess how subsurface transport modeling can best be used to support regulatory, stakeholder, Native American, and Tank Farm Operations needs. This report is organized into six sections. Following an introduction, Section 2.0 discusses background issues that relate to Tank Farm Operations. Section 3.0 summarizes the technical approach used to appraise the status of modeling and supporting characterization. Section 4.0 presents a detailed description of how the technical approach was implemented. Section 5.0 identifies findings and observations that relate to implementation of numerical modeling, and Section 6.0 presents recommendations for future activities

A sequential decision framework for increasing college students' support for organ donation and organ donor registration.

Science.gov (United States)

Peltier, James W; D'Alessandro, Anthony M; Dahl, Andrew J; Feeley, Thomas Hugh

2012-09-01

Despite the fact that college students support social causes, this age group has underparticipated in organ donor registration. Little research attention has been given to understanding deeper, higher-order relationships between the antecedent attitudes toward and perceptions of organ donation and registration behavior. To test a process model useful for understanding the sequential ordering of information necessary for moving college students along a hierarchical decision-making continuum from awareness to support to organ donor registration. The University of Wisconsin organ procurement organization collaborated with the Collegiate American Marketing Association on a 2-year grant funded by the US Health Resources and Services Administration. A total of 981 association members responded to an online questionnaire. The 5 antecedent measures were awareness of organ donation, need acknowledgment, benefits of organ donation, social support, and concerns about organ donation. The 2 consequence variables were support for organ donation and organ donation registration. Structural equation modeling indicated that 5 of 10 direct antecedent pathways led significantly into organ donation support and registration. The impact of the nonsignificant variables was captured via indirect effects through other decision variables. Model fit statistics were good: the goodness of fit index was .998, the adjusted goodness of fit index was .992, and the root mean square error of approximation was .001. This sequential decision-making model provides insight into the need to enhance the acceptance of organ donation and organ donor registration through a series of communications to move people from awareness to behavior.

Organization model and formalized description of nuclear enterprise information system

International Nuclear Information System (INIS)

Yuan Feng; Song Yafeng; Li Xudong

2012-01-01

Organization model is one of the most important models of Nuclear Enterprise Information System (NEIS). Scientific and reasonable organization model is the prerequisite that NEIS has robustness and extendibility, and is also the foundation of the integration of heterogeneous system. Firstly, the paper describes the conceptual model of the NEIS on ontology chart, which provides a consistent semantic framework of organization. Then it discusses the relations between the concepts in detail. Finally, it gives the formalized description of the organization model of NEIS based on six-tuple array. (authors)

Meaning in motivation: does your organization need an inner life?

Science.gov (United States)

Morrison, Eileen E; Burke, George C; Greene, Lloyd

2007-01-01

Leaders of health care organizations are increasingly interested in ways to attract, retain, and gain commitment from their employees. This interest is created in part because high turnover rates and the lack of commitment negatively affect the provision of care and the bottom line in their organizations. In a quality and cost conscious health care environment, health care managers need to find solutions for these difficult issues; solutions that are effective, efficient and sustainable. What can be done? This article reviews, amplifies, and extends work that has been done in the area of "meaningfulness of work" in the context of employee retention and commitment. It begins with an exploration of the problems caused by lack of employee engagement and commitment including their impact on quality and costs. It then summarizes both the theoretical and applied research in the area of meaning and work. It also introduces the basic principles of Viktor Frankl's logotherapy (Frankl, 1998) as a foundation for encouraging the integration of meaning and work. The seminal work by Pattakos (2004) is used to demonstrate how Frankl's principles can be applied to healthcare work settings. Finally, the article provides suggestions for increasing employee commitment and engagement through identifying meaning and purpose in work.

MODELING THE PROCESS OF ASSIMILATION AND OPERATIONALIZATION OF THE CONCEPT OF MARKETING BY ROMANIAN LOCAL ORGANIZATIONS

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Luminita Zait

2015-07-01

Full Text Available This paper proposes a model that wants to offer some pertinent answers about the process of assimilation and operationalization of the marketing concept in the practice of local organizations in Romania. Considering the reality of organizational practice in Romania, which revealed a lack of consistency in the approach of assimilation and operationalization of the marketing concept, the model tries to capture a range of factors that determine and explain this phenomenon. Reality shows that many Romanian organizations either do not perceive the need and importance of marketing in their activity or assimilate and develop a priori, actions carried out by transnational companies that do not meet the particular context of the Romanian market and / or of internal environment. The model attempts to capture the peculiarities of the process of assimilation and operationalization of the concept of marketing in local organizations and describe the characteristics of each identified organizational structures.

The System Dynamics Model for Development of Organic Agriculture

Science.gov (United States)

Rozman, Črtomir; Škraba, Andrej; Kljajić, Miroljub; Pažek, Karmen; Bavec, Martina; Bavec, Franci

2008-10-01

Organic agriculture is the highest environmentally valuable agricultural system, and has strategic importance at national level that goes beyond the interests of agricultural sector. In this paper we address development of organic farming simulation model based on a system dynamics methodology (SD). The system incorporates relevant variables, which affect the development of the organic farming. The group decision support system (GDSS) was used in order to identify most relevant variables for construction of causal loop diagram and further model development. The model seeks answers to strategic questions related to the level of organically utilized area, levels of production and crop selection in a long term dynamic context and will be used for simulation of different policy scenarios for organic farming and their impact on economic and environmental parameters of organic production at an aggregate level.

Designing a lessons learned model to improve the success of new product development in project oriented organizations

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Ahmad

2016-12-01

Full Text Available Nowadays, project-based organizations need to utilize intellectual capital and knowledge to become leader in their business activities. The new approach to use knowledge based skills from one side and development of the new complicated products from the other side have increased the need for designing a lessons learned model. The purpose of this paper is to design a lessons learned model to improve the success of new product development for project oriented organizations. The study designs a questionnaire in Likert scale and distributes it among 56 experts who were well informed about various techniques of new product development and lessons learned. Cronbach alphas for all components of the survey were well above the desirable level. The results of the survey have indicated that there were positive and meaningful relationships between lessons learned components and the success of the new product development.

The generalized model of organization and planning of regional gas supply monitoring

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Maria V. Shevchenko

2015-12-01

Full Text Available At the moment, gas is one of the most promising types of fuel in Ukraine. In this regard, the problems associated with its transportation in the regional system of gas supply are relevant. Now it is not completely solved and needs detailed study the problem of monitoring the regional gas supply system. Aim: The aim of the study is to improve the efficiency of the regional gas supply system at the expense of the organization and planning of gas transport monitoring and, in the future, the synthesis of the monitoring system of regional gas supply. Materials and Methods: The generalized model of organization and planning of monitoring regional gas suppliers were developed to achieve this goal. It allows making decisions on the organization of the monitoring system. In addition, this model makes it possible to plan under conditions of multicriteriality and uncertainty of the source data. Results: The basic criteria and constraints for solving the problem of organizing and planning the monitoring system of regional gas supply are proposed in this work. The corresponding computations were made to confirm the assumptions. The calculations were carried out in context of uncertainty of input data using a set of methods for the analysis of hierarchies, exhaustive search, as well as the methods of decision making in context of uncertainty.

Person-Organization Pairing

Science.gov (United States)

Scirotino, P. T.; Madden, Denis

1973-01-01

Malfunctioning organizations do not facilitate the accomplishment of the purposes of their members in a number of ways and for a number of reasons. This paper used Maslow's hierarchy of needs model in an attempt to describe one view of that malfunction. Leadership is examined briefly as a functioning organization's facilitating arrangement.…

A Test of the Need Hierarchy Concept by a Markov Model of Change in Need Strength.

Science.gov (United States)

Rauschenberger, John; And Others

1980-01-01

In this study of 547 high school graduates, Alderfer's and Maslow's need hierarchy theories were expressed in Markov chain form and were subjected to empirical test. Both models were disconfirmed. Corroborative multiwave correlational analysis also failed to support the need hierarchy concept. (Author/IRT)

Model of organ dose combination

International Nuclear Information System (INIS)

Valley, J.-F.; Lerch, P.

1977-01-01

The ICRP recommendations are based on the limitation of the dose to each organ. In the application and for a unique source the critical organ concept allows to limit the calculation and represents the irradiation status of an individuum. When several sources of radiation are involved the derivation of the dose contribution of each source to each organ is necessary. In order to represent the irradiation status a new parameter is to be defined. Propositions have been made by some authors, in particular by Jacobi introducing at this level biological parameters like the incidence rate of detriment and its severity. The new concept is certainly richer than a simple dose notion. However, in the actual situation of knowledge about radiation effects an intermediate parameter, using only physical concepts and the maximum permissible doses to the organs, seems more appropriate. The model, which is a generalization of the critical organ concept and shall be extended in the future to take the biological effects into account, will be presented [fr

Russia’s 2015 BRICS Presidency: Models of Engagement with International Organizations

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Marina Larionova

2016-09-01

Full Text Available Six years after the first 2009 summit in Yekaterinburg, the BRICS grouping of Brazil, Russia, India, China and South Africa has established its identity as an informal global governance forum. The members have consistently consolidated their cooperation, expanded and deepened their agenda, coordinated efforts aimed at the recovery and growth of their economies, and engaged with other international organizations. This work continued during the Russian presidency in 2015. This article focuses on one dimension of BRICS performance: its engagement with international organizations. Atleast three reasons define the relevance of this analysis. First, since its launch the BRICS members collectively committed tobuilding a multipolar, fair and democratic world order, which would not be possible without cooperating with key international organizations. Second, the objective of enhancing the sustainability, legitimacy and effectiveness of the global governance architecture defines the need for the flexible combination of different models of engagement of summit institutions with other international institutions. Third, according to Russia’s BRICS Presidency Concept, one of its priorities was to transition to a qualitatively new level of engagement with international organizations.The analytical framework for this study thus builds on the theory of rational choice institutionalism. The calculus approach fits the analysis of summit institutions bringing together states from a wide range of cultures, continents and economic development. Its distinctive features clearly apply to the analysis of the origin and performance of the BRICS. First, members act in a highly strategic manner to attain their priorities. Second, summitry presents an arrangement where strategic interaction among leaders plays a major role in determining political outcomes. Third, rational choice institutionalism offers the greatest analytical leverage to settings where consensus among

Constitutive model development needs for reactor safety thermal-hydraulic codes

International Nuclear Information System (INIS)

Kelly, J.M.

1998-01-01

This paper discusses the constitutive model development needs for our current and future generation of reactor safety thermal-hydraulic analysis codes. Rather than provide a simple 'shopping list' of models to be improved, a detailed description is given of how a constitutive model works within the computational framework of a current reactor safety code employing the two-fluid model of two-phase flow. The intent is to promote a better understanding of both the types of experiments and the instrumentation needs that will be required in the USNRCs code improvement program. First, a summary is given of the modeling considerations that need to be taken into account when developing constitutive models for use in reactor safety thermal-hydraulic codes. Specifically, the two-phase flow model should be applicable to a control volume formulation employing computational volumes with dimensions on the order of meters but containing embedded structure with a dimension on the order of a centimeter. The closure relations are then required to be suitable when averaged over such large volumes containing millions or even tens of millions of discrete fluid particles (bubbles/drops). This implies a space and time averaging procedure that neglects the intermittency observed in slug and chum turbulent two-phase flows. Furthermore, the geometries encountered in reactor systems are complex, the constitutive relations should therefore be component specific (e.g., interfacial shear in a tube does not represent that in a rod bundle nor in the downcomer). When practicable, future modeling efforts should be directed towards resolving the spatial evolution of two-phase flow patterns through the introduction of interfacial area transport equations and by modeling the individual physical processes responsible for the creation or destruction of interfacial area. Then the example of the implementation and assessment of a subcooled boiling model in a two-fluid code is given. The primary parameter

Transparent model of temporal bone and vestibulocochlear organ made by 3D printing.

Science.gov (United States)

Suzuki, Ryoji; Taniguchi, Naoto; Uchida, Fujio; Ishizawa, Akimitsu; Kanatsu, Yoshinori; Zhou, Ming; Funakoshi, Kodai; Akashi, Hideo; Abe, Hiroshi

2018-01-01

The vestibulocochlear organ is composed of tiny complex structures embedded in the petrous part of the temporal bone. Landmarks on the temporal bone surface provide the only orientation guide for dissection, but these need to be removed during the course of dissection, making it difficult to grasp the underlying three-dimensional structures, especially for beginners during gross anatomy classes. We report herein an attempt to produce a transparent three-dimensional-printed model of the human ear. En bloc samples of the temporal bone from donated cadavers were subjected to computed tomography (CT) scanning, and on the basis of the data, the surface temporal bone was reconstructed with transparent resin and the vestibulocochlear organ with white resin to create a 1:1.5 scale model. The carotid canal was stuffed with red cotton, and the sigmoid sinus and internal jugular vein were filled with blue clay. In the inner ear, the internal acoustic meatus, cochlea, and semicircular canals were well reconstructed in detail with white resin. The three-dimensional relationships of the semicircular canals, spiral turns of the cochlea, and internal acoustic meatus were well recognizable from every direction through the transparent surface resin. The anterior semicircular canal was obvious immediately beneath the arcuate eminence, and the topographical relationships of the vestibulocochlear organ and adjacent great vessels were easily discernible. We consider that this transparent temporal bone model will be a very useful aid for better understanding of the gross anatomy of the vestibulocochlear organ.

using stereochemistry models in teaching organic compounds

African Journals Online (AJOL)

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The purpose of the study was to find out the effect of stereochemistry models on students' ... consistent with the names given to organic compounds. Some of ... Considering class level, what is the performance of the students in naming organic.

Show them the money? The role of pay, managerial need support, and justice in a self-determination theory model of intrinsic work motivation.

Science.gov (United States)

Olafsen, Anja H; Halvari, Hallgeir; Forest, Jacques; Deci, Edward L

2015-08-01

The link between money and motivation has been a debated topic for decades, especially in work organizations. However, field studies investigating the amount of pay in relation to employee motivation is lacking and there have been calls for empirical studies addressing compensation systems and motivation in the work domain. The purpose of this study was to examine outcomes associated with the amount of pay, and perceived distributive and procedural justice regarding pay in relation to those for perceived managerial need support. Participants were 166 bank employees who also reported on their basic psychological need satisfaction and intrinsic work motivation. SEM-analyses tested a self-determination theory (SDT) model, with satisfaction of the competence and autonomy needs as an intervening variable. The primary findings were that amount of pay and employees' perceived distributive justice regarding their pay were unrelated to employees' need satisfaction and intrinsic work motivation, but procedural justice regarding pay did affect these variables. However, managerial need support was the most important factor for promoting need satisfaction and intrinsic work motivation both directly, indirectly, and as a moderator in the model. Hence, the results of the present organizational field study support earlier laboratory experiments within the SDT framework showing that monetary rewards did not enhance intrinsic motivation. This seems to have profound implications for organizations concerned about motivating their employees. © 2015 Scandinavian Psychological Associations and John Wiley & Sons Ltd.

Phosphorus sorption on marine carbonate sediment: phosphonate as model organic compounds.

Science.gov (United States)

Huang, Xiao-Lan; Zhang, Jia-Zhong

2011-11-01

Organophosphonate, characterized by the presence of a stable, covalent, carbon to phosphorus (C-P) bond, is a group of synthetic or biogenic organophosphorus compounds. The fate of these organic phosphorus compounds in the environment is not well studied. This study presents the first investigation on the sorption of phosphorus (P) in the presence of two model phosphonate compounds, 2-aminothylphosphonoic acid (2-AEP) and phosphonoformic acid (PFA), on marine carbonate sediments. In contrast to other organic P compounds, no significant inorganic phosphate exchange was observed in seawater. P was found to adsorb on the sediment only in the presence of PFA, not 2-AEP. This indicated that sorption of P from phosphonate on marine sediment was compound specific. Compared with inorganic phosphate sorption on the same sediments, P sorption from organic phosphorus is much less in the marine environment. Further study is needed to understand the potential role of the organophosphonate compounds in biogeochemical cycle of phosphorus in the environment. Copyright © 2011 Elsevier Ltd. All rights reserved.

OBJECT ORIENTED MODELLING, A MODELLING METHOD OF AN ECONOMIC ORGANIZATION ACTIVITY

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TĂNĂSESCU ANA

2014-05-01

Full Text Available Now, most economic organizations use different information systems types in order to facilitate their activity. There are different methodologies, methods and techniques that can be used to design information systems. In this paper, I propose to present the advantages of using the object oriented modelling at the information system design of an economic organization. Thus, I have modelled the activity of a photo studio, using Visual Paradigm for UML as a modelling tool. For this purpose, I have identified the use cases for the analyzed system and I have presented the use case diagram. I have, also, realized the system static and dynamic modelling, through the most known UML diagrams.

Modeling the surface tension of complex, reactive organic-inorganic mixtures

Science.gov (United States)

Schwier, A. N.; Viglione, G. A.; Li, Z.; McNeill, V. Faye

2013-11-01

Atmospheric aerosols can contain thousands of organic compounds which impact aerosol surface tension, affecting aerosol properties such as heterogeneous reactivity, ice nucleation, and cloud droplet formation. We present new experimental data for the surface tension of complex, reactive organic-inorganic aqueous mixtures mimicking tropospheric aerosols. Each solution contained 2-6 organic compounds, including methylglyoxal, glyoxal, formaldehyde, acetaldehyde, oxalic acid, succinic acid, leucine, alanine, glycine, and serine, with and without ammonium sulfate. We test two semi-empirical surface tension models and find that most reactive, complex, aqueous organic mixtures which do not contain salt are well described by a weighted Szyszkowski-Langmuir (S-L) model which was first presented by Henning et al. (2005). Two approaches for modeling the effects of salt were tested: (1) the Tuckermann approach (an extension of the Henning model with an additional explicit salt term), and (2) a new implicit method proposed here which employs experimental surface tension data obtained for each organic species in the presence of salt used with the Henning model. We recommend the use of method (2) for surface tension modeling of aerosol systems because the Henning model (using data obtained from organic-inorganic systems) and Tuckermann approach provide similar modeling results and goodness-of-fit (χ2) values, yet the Henning model is a simpler and more physical approach to modeling the effects of salt, requiring less empirically determined parameters.

Linear programming model to construct phylogenetic network for 16S rRNA sequences of photosynthetic organisms and influenza viruses.

Science.gov (United States)

Mathur, Rinku; Adlakha, Neeru

2014-06-01

Phylogenetic trees give the information about the vertical relationships of ancestors and descendants but phylogenetic networks are used to visualize the horizontal relationships among the different organisms. In order to predict reticulate events there is a need to construct phylogenetic networks. Here, a Linear Programming (LP) model has been developed for the construction of phylogenetic network. The model is validated by using data sets of chloroplast of 16S rRNA sequences of photosynthetic organisms and Influenza A/H5N1 viruses. Results obtained are in agreement with those obtained by earlier researchers.

Emergent organization in a model market

Science.gov (United States)

Yadav, Avinash Chand; Manchanda, Kaustubh; Ramaswamy, Ramakrishna

2017-09-01

We study the collective behaviour of interacting agents in a simple model of market economics that was originally introduced by Nørrelykke and Bak. A general theoretical framework for interacting traders on an arbitrary network is presented, with the interaction consisting of buying (namely consumption) and selling (namely production) of commodities. Extremal dynamics is introduced by having the agent with least profit in the market readjust prices, causing the market to self-organize. In addition to examining this model market on regular lattices in two-dimensions, we also study the cases of random complex networks both with and without community structures. Fluctuations in an activity signal exhibit properties that are characteristic of avalanches observed in models of self-organized criticality, and these can be described by power-law distributions when the system is in the critical state.

Influence of Information Technology on Organization Strategy

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Sibanda Mabutho

2017-02-01

Full Text Available The exponential development of information technology has presented many opportunities to organizations; however, it has also presented several challenges. A key challenge is how do organizations effectively use information technology and incorporate it into their strategies to make full use of its capabilities as an enabler. The fast-changing nature of information technology has resulted in little empirical evidence on how it influences organization strategy. The Strategic Alignment Model was a popular model created to assist organizations to align their information technology and their business strategy; however, the growth of technology may have made this model irrelevant in this age. Therefore, organizations need to determine what factors drive this alignment. Using hermeneutic phenomenology, 12 in-depth interviews were conducted within IBM South Africa to determine real-life drivers that help create this alignment. The themes derived from the interview texts reveal that consumers are becoming more empowered; therefore, organizations need to be more flexible in their business models and strategies. Furthermore, the integration of cross-functional roles in the organization at the management level allow for improved alignment between information technology and strategy as better integrated roles bring a combination of these two elements.

Do we need 3D tube current modulation information for accurate organ dosimetry in chest CT? Protocols dose comparisons

Energy Technology Data Exchange (ETDEWEB)

Lopez-Rendon, Xochitl; Develter, Wim [KU Leuven, Department of Imaging and Pathology, Division of Medical Physics and Quality Assessment, Leuven (Belgium); Zhang, Guozhi; Coudyzer, Walter; Zanca, Federica [University Hospitals of the KU Leuven, Department of Radiology, Leuven (Belgium); Bosmans, Hilde [KU Leuven, Department of Imaging and Pathology, Division of Medical Physics and Quality Assessment, Leuven (Belgium); University Hospitals of the KU Leuven, Department of Radiology, Leuven (Belgium)

2017-11-15

To compare the lung and breast dose associated with three chest protocols: standard, organ-based tube current modulation (OBTCM) and fast-speed scanning; and to estimate the error associated with organ dose when modelling the longitudinal (z-) TCM versus the 3D-TCM in Monte Carlo simulations (MC) for these three protocols. Five adult and three paediatric cadavers with different BMI were scanned. The CTDI{sub vol} of the OBTCM and the fast-speed protocols were matched to the patient-specific CTDI{sub vol} of the standard protocol. Lung and breast doses were estimated using MC with both z- and 3D-TCM simulated and compared between protocols. The fast-speed scanning protocol delivered the highest doses. A slight reduction for breast dose (up to 5.1%) was observed for two of the three female cadavers with the OBTCM in comparison to the standard. For both adult and paediatric, the implementation of the z-TCM data only for organ dose estimation resulted in 10.0% accuracy for the standard and fast-speed protocols, while relative dose differences were up to 15.3% for the OBTCM protocol. At identical CTDI{sub vol} values, the standard protocol delivered the lowest overall doses. Only for the OBTCM protocol is the 3D-TCM needed if an accurate (<10.0%) organ dosimetry is desired. (orig.)

An Ising model for metal-organic frameworks

Science.gov (United States)

Höft, Nicolas; Horbach, Jürgen; Martín-Mayor, Victor; Seoane, Beatriz

2017-08-01

We present a three-dimensional Ising model where lines of equal spins are frozen such that they form an ordered framework structure. The frame spins impose an external field on the rest of the spins (active spins). We demonstrate that this "porous Ising model" can be seen as a minimal model for condensation transitions of gas molecules in metal-organic frameworks. Using Monte Carlo simulation techniques, we compare the phase behavior of a porous Ising model with that of a particle-based model for the condensation of methane (CH4) in the isoreticular metal-organic framework IRMOF-16. For both models, we find a line of first-order phase transitions that end in a critical point. We show that the critical behavior in both cases belongs to the 3D Ising universality class, in contrast to other phase transitions in confinement such as capillary condensation.

Emerging organisational models of primary healthcare and unmet needs for care: insights from a population-based survey in Quebec province

Directory of Open Access Journals (Sweden)

Levesque Jean-Frédéric

2012-07-01

Full Text Available Abstract Background Reform of primary healthcare (PHC organisations is underway in Canada. The capacity of various types of PHC organizations to respond to populations’ needs remains to be assessed. The main objective of this study was to evaluate the association of PHC affiliation with unmet needs for care. Methods Population-based survey of 9205 randomly selected adults in two regions of Quebec, Canada. Outcomes Self-reported unmet needs for care and identification of the usual source of PHC. Results Among eligible adults, 18 % reported unmet needs for care in the last six months. Reasons reported for unmet needs were: waiting times (59 % of cases; unavailability of usual doctor (42 %; impossibility to obtain an appointment (36 %; doctors not accepting new patients (31 %. Regression models showed that unmet needs were decreasing with age and was lower among males, the least educated, and unemployed or retired. Controlling for other factors, unmet needs were higher among the poor and those with worse health status. Having a family doctor was associated with fewer unmet needs. People reporting a usual source of care in the last two-years were more likely to report unmet need for care. There were no differences in unmet needs for care across types of PHC organisations when controlling for affiliation with a family physician. Conclusion Reform models of primary healthcare consistent with the medical home concept did not differ from other types of organisations in our study. Further research looking at primary healthcare reform models at other levels of implementation should be done.

FORMATION AND IMPLEMENTATION OF PUBLIC NEEDS AS A MEASURE OF IMPROVEMENT OF SOCIETY TERRITORIAL ORGANIZATION

Directory of Open Access Journals (Sweden)

Larysa Bogush

2015-11-01

Full Text Available The purpose of the paper is to study the relationship of the formation and implementation of the range of social needs with the evolution and activity is focused on the improvement of the territorial organization of society. Methodology of research involves: the substantiation of the origin, factors for the development, approaches to classification, functions of public needs in the development of state and society; the study of the socio-humanitarian space of formation and realization of the needs of individuals, functional and territorial communities, as well as a mechanism of their satisfaction at the national and spatial scales (on the example of Ukraine – a country with a developing economy, wherein the decentralization of powers in the field social welfare and consolidation of local communities are implemented at present. Results. Summarized and proved the patterns and trends of development, evolution, transformation of needs of social groups, functional and territorial communities of the population, as well as the relationship of these processes with the economic and institutional capacities and mechanisms of satisfaction of the spectrum of social needs in consideration of peculiarities, achieved and desired parameters of development of productive forces, human and other components of the social and humanitarian potential, cultural features of the society. The development of the institutional, functional and territorial organization of society, in fact, is a process of formation and implementation in the range of human needs (individual and collective, which is estimated with the factors, conditions and mechanisms of their satisfaction, including through the dynamics of the positions of the spectrum of social groups and subjects concerning the required amount of vital goods consumption. Practical implications. Social and political transformation stimulates the establishment of the multidirectional formation in the Ukrainian economy of

Integrating unmet needs into dementia health-related quality of life research and care: Introduction of the Hierarchy Model of Needs in Dementia.

Science.gov (United States)

Scholzel-Dorenbos, Carla J M; Meeuwsen, Els J; Olde Rikkert, Marcel G M

2010-01-01

To make an inventory of needs assessment instruments in dementia, to explore the interaction between unmet needs and health-related quality of life (HRQoL) and to relate these to the conceptual model of Maslow's Hierarchy of needs in order to design a dementia-specific model. Narrative review of literature on (measures of) needs of patients and caregivers and HRQoL determinants important in dementia. Relating these needs to individual goal setting instruments and Maslow's Hierarchy of needs model. The Camberwell Assessment of Needs for the Elderly (CANE) turns out to be a valid tool to assess needs of dementia patients, suitable for research and clinical use. The Carers' Needs Assessment for Dementia (CNA-D) is a valid instrument to assess needs of caregivers. Patients identified significantly fewer needs than (in)formal caregivers. The most important needs, that also determine large part of HRQoL, are need for information; support with regard to symptoms of dementia; social contact and company; and for health monitoring and safety. Goal attainment scaling in dementia is an important but not yet valid outcome measure, with only few data on feasibility in dementia patients. There are several instruments to assess needs of dementia patients and caregivers. Domains of unmet needs and HRQoL overlap. The Hierarchy Model of Needs in Dementia (HMND) offers a new theoretical framework to address the interplay between meeting of needs and improvement of HRQoL in dementia. By identifying unmet needs in dementia-research and focussing on unmet needs in dementia-care, much can be done to improve HRQoL.

Authentication in Virtual Organizations: A Reputation Based PKI Interconnection Model

Science.gov (United States)

Wazan, Ahmad Samer; Laborde, Romain; Barrere, Francois; Benzekri, Abdelmalek

Authentication mechanism constitutes a central part of the virtual organization work. The PKI technology is used to provide the authentication in each organization involved in the virtual organization. Different trust models are proposed to interconnect the different PKIs in order to propagate the trust between them. While the existing trust models contain many drawbacks, we propose a new trust model based on the reputation of PKIs.

Modelling the fate of oxidisable organic contaminants in groundwater

DEFF Research Database (Denmark)

Barry, D.A.; Prommer, H.; Miller, C.T.

2002-01-01

modelling framework is illustrated by pertinent examples, showing the degradation of dissolved organics by microbial activity limited by the availability of nutrients or electron acceptors (i.e., changing redox states), as well as concomitant secondary reactions. Two field-scale modelling examples......Subsurface contamination by organic chemicals is a pervasive environmental problem, susceptible to remediation by natural or enhanced attenuation approaches or more highly engineered methods such as pump-and-treat, amongst others. Such remediation approaches, along with risk assessment...... are discussed, the Vejen landfill (Denmark) and an example where metal contamination is remediated by redox changes wrought by injection of a dissolved organic compound. A summary is provided of current and likely future challenges to modelling of oxidisable organics in the subsurface. (C) 2002 Elsevier Science...

A decaying factor accounts for contained activity in neuronal networks with no need of hierarchical or modular organization

International Nuclear Information System (INIS)

Amancio, Diego R; Oliveira Jr, Osvaldo N; Costa, Luciano da F

2012-01-01

The mechanisms responsible for containing activity in systems represented by networks are crucial in various phenomena, for example, in diseases such as epilepsy that affect the neuronal networks and for information dissemination in social networks. The first models to account for contained activity included triggering and inhibition processes, but they cannot be applied to social networks where inhibition is clearly absent. A recent model showed that contained activity can be achieved with no need of inhibition processes provided that the network is subdivided into modules (communities). In this paper, we introduce a new concept inspired in the Hebbian theory, through which containment of activity is achieved by incorporating a dynamics based on a decaying activity in a random walk mechanism preferential to the node activity. Upon selecting the decay coefficient within a proper range, we observed sustained activity in all the networks tested, namely, random, Barabási–Albert and geographical networks. The generality of this finding was confirmed by showing that modularity is no longer needed if the dynamics based on the integrate-and-fire dynamics incorporated the decay factor. Taken together, these results provide a proof of principle that persistent, restrained network activation might occur in the absence of any particular topological structure. This may be the reason why neuronal activity does not spread out to the entire neuronal network, even when no special topological organization exists. (paper)

Genome organization in the nucleus: From dynamic measurements to a functional model.

Science.gov (United States)

Vivante, Anat; Brozgol, Eugene; Bronshtein, Irena; Garini, Yuval

2017-07-01

A biological system is by definition a dynamic environment encompassing kinetic processes that occur at different length scales and time ranges. To explore this type of system, spatial information needs to be acquired at different time scales. This means overcoming significant hurdles, including the need for stable and precise labeling of the required probes and the use of state of the art optical methods. However, to interpret the acquired data, biophysical models that can account for these biological mechanisms need to be developed. The structure and function of a biological system are closely related to its dynamic properties, thus further emphasizing the importance of identifying the rules governing the dynamics that cannot be directly deduced from information on the structure itself. In eukaryotic cells, tens of thousands of genes are packed in the small volume of the nucleus. The genome itself is organized in chromosomes that occupy specific volumes referred to as chromosome territories. This organization is preserved throughout the cell cycle, even though there are no sub-compartments in the nucleus itself. This organization, which is still not fully understood, is crucial for a large number of cellular functions such as gene regulation, DNA breakage repair and error-free cell division. Various techniques are in use today, including imaging, live cell imaging and molecular methods such as chromosome conformation capture (3C) methods to better understand these mechanisms. Live cell imaging methods are becoming well established. These include methods such as Single Particle Tracking (SPT), Continuous Photobleaching (CP), Fluorescence Recovery After Photobleaching (FRAP) and Fluorescence Correlation Spectroscopy (FCS) that are currently used for studying proteins, RNA, DNA, gene loci and nuclear bodies. They provide crucial information on its mobility, reorganization, interactions and binding properties. Here we describe how these dynamic methods can be used to

A model-independent view of the mature organization

Energy Technology Data Exchange (ETDEWEB)

Hanna, M.; Langston, D.

1996-12-31

Over the last 10 years, industry has been dealing with the issues of process and organizational maturity. This focus on process is driven by the success that manufacturing organizations have had implementing the management principles of W. Edwards Deming and Joseph M. Juran. The organizational-maturity focus is driven by organizations striving to be ISO 9000 compliant or to achieve a specific level on one of the maturity models. Unfortunately, each of the models takes a specific view into what is a very broad arena. That is to say, each model addresses only a specific subset of the characteristics of maturity. This paper attempts to extend beyond these specific views to answer the general question, What is a mature organization and its relationship to Quantitative management and statistical process control?

Momasi Model in Need Assessment of Faculty Members of Alborz University

Directory of Open Access Journals (Sweden)

S. Esmaelzadeh

2013-02-01

Full Text Available Background: The first step in developing human resources to improve the performance of universities is to indentify accurate educational needs. Models may draw on a number of theories to help understand a particular problem in a certain setting or context. Momasi model is an integrated of the existing models in educational needs assessment field which has sufficient comprehensiveness of data collection. the aim of this study was application of Momasi model in need assessment of faculty members in seven areas duties. Methods: This study is a cross- sectional study which was formed based on Momasi model between34 faculty members of Alborz university. Results: Different areas of educational needs were respectively prioritized as: personal development, research, administrative and executive activities, education, health services and health promotion, and specialized activities outside the university. The most mean and standard deviation belong to area of research, The first priority in the area of research was the publications in English, in personal development area: familiarity with SPSS software ,and the area of education it was creativity nurture. Conclusion: Based on assessment results, research area in this needs assessment study has the most important priority and frequency. Therefore it is recommended that data gathered in research area section put in first priority for empowering for faculty members Of Alborz University.

Labour Quality Model for Organic Farming Food Chains

OpenAIRE

Gassner, B.; Freyer, B.; Leitner, H.

2008-01-01

The debate on labour quality in science is controversial as well as in the organic agriculture community. Therefore, we reviewed literature on different labour quality models and definitions, and had key informant interviews on labour quality issues with stakeholders in a regional oriented organic agriculture bread food chain. We developed a labour quality model with nine quality categories and discussed linkages to labour satisfaction, ethical values and IFOAM principles.

Towards Increased Relevance: Context-Adapted Models of the Learning Organization

Science.gov (United States)

Örtenblad, Anders

2015-01-01

Purpose: The purposes of this paper are to take a closer look at the relevance of the idea of the learning organization for organizations in different generalized organizational contexts; to open up for the existence of multiple, context-adapted models of the learning organization; and to suggest a number of such models.…

Climate Modeling Computing Needs Assessment

Science.gov (United States)

Petraska, K. E.; McCabe, J. D.

2011-12-01

This paper discusses early findings of an assessment of computing needs for NASA science, engineering and flight communities. The purpose of this assessment is to document a comprehensive set of computing needs that will allow us to better evaluate whether our computing assets are adequately structured to meet evolving demand. The early results are interesting, already pointing out improvements we can make today to get more out of the computing capacity we have, as well as potential game changing innovations for the future in how we apply information technology to science computing. Our objective is to learn how to leverage our resources in the best way possible to do more science for less money. Our approach in this assessment is threefold: Development of use case studies for science workflows; Creating a taxonomy and structure for describing science computing requirements; and characterizing agency computing, analysis, and visualization resources. As projects evolve, science data sets increase in a number of ways: in size, scope, timelines, complexity, and fidelity. Generating, processing, moving, and analyzing these data sets places distinct and discernable requirements on underlying computing, analysis, storage, and visualization systems. The initial focus group for this assessment is the Earth Science modeling community within NASA's Science Mission Directorate (SMD). As the assessment evolves, this focus will expand to other science communities across the agency. We will discuss our use cases, our framework for requirements and our characterizations, as well as our interview process, what we learned and how we plan to improve our materials after using them in the first round of interviews in the Earth Science Modeling community. We will describe our plans for how to expand this assessment, first into the Earth Science data analysis and remote sensing communities, and then throughout the full community of science, engineering and flight at NASA.

Clarifying the Consultant-Client Role Relationship through an Organizational Needs Model.

Science.gov (United States)

Tubbs, Stewart L.; Baird, John W.

An organizational need hierarchy can be used by consultants as a model for diagnosing organizational problems, after which an intervention plan can be made. The need hierarchy, which approximates Abraham Maslow's individual need hierarchy, is composed of five ascending levels related to organizational needs in the areas of survival of the…

A self-organized criticality model for plasma transport

International Nuclear Information System (INIS)

Carreras, B.A.; Newman, D.; Lynch, V.E.

1996-01-01

Many models of natural phenomena manifest the basic hypothesis of self-organized criticality (SOC). The SOC concept brings together the self-similarity on space and time scales that is common to many of these phenomena. The application of the SOC modelling concept to the plasma dynamics near marginal stability opens new possibilities of understanding issues such as Bohm scaling, profile consistency, broad band fluctuation spectra with universal characteristics and fast time scales. A model realization of self-organized criticality for plasma transport in a magnetic confinement device is presented. The model is based on subcritical resistive pressure-gradient-driven turbulence. Three-dimensional nonlinear calculations based on this model show the existence of transport under subcritical conditions. This model that includes fluctuation dynamics leads to results very similar to the running sandpile paradigm

The true meaning of 'exotic species' as a model for genetically engineered organisms.

Science.gov (United States)

Regal, P J

1993-03-15

The exotic or non-indigenous species model for deliberately introduced genetically engineered organisms (GEOs) has often been misunderstood or misrepresented. Yet proper comparisons of of ecologically competent GEOs to the patterns of adaptation of introduced species have been highly useful among scientists in attempting to determine how to apply biological theory to specific GEO risk issues, and in attempting to define the probabilities and scale of ecological risks with GEOs. In truth, the model predicts that most projects may be environmentally safe, but a significant minority may be very risky. The model includes a history of institutional follies that also should remind workers of the danger of oversimplifying biological issues, and warn against repeating the sorts of professional misjudgements that have too often been made in introducing organisms to new settings. We once expected that the non-indigenous species model would be refined by more analysis of species eruptions, ecological genetics, and the biology of select GEOs themselves, as outlined. But there has been political resistance to the effective regulation of GEOs, and a bureaucratic tendency to focus research agendas on narrow data collection. Thus there has been too little promotion by responsible agencies of studies to provide the broad conceptual base for truly science-based regulation. In its presently unrefined state, the non-indigenous species comparison would overestimate the risks of GEOs if it were (mis)applied to genetically disrupted, ecologically crippled GEOs, but in some cases of wild-type organisms with novel engineered traits, it could greatly underestimate the risks. Further analysis is urgently needed.

Determining organ dose: the holy grail

International Nuclear Information System (INIS)

Samei, Ehsan; Tian, Xiaoyu; Segars, W.P.

2014-01-01

Among the various metrics to quantify CT radiation dose, organ dose is generally regarded as one of the best to reflect patient radiation burden. Organ dose is dependent on two main factors, namely patient anatomy and irradiation field. An accurate estimation of organ dose requires detailed modeling of both factors. The modeling of patient anatomy needs to reflect the anatomical diversity and complexity across the population so that the attributes of a given clinical patient can be properly accounted for. The modeling of the irradiation field needs to accurately reflect the CT system condition, especially the tube current modulation (TCM) technique. We present an atlas-based method to model patient anatomy via a library of computational phantoms with representative ages, sizes and genders. A clinical patient is matched with a corresponding computational phantom to obtain a representation of patient anatomy. The irradiation field of the CT system is modeled using a validated Monte Carlo simulation program. The tube current modulation profiles are simulated using a manufacturer-generalizable ray-tracing algorithm. Combining the patient model, Monte Carlo results, and TCM profile, organ doses are obtained by multiplying organ dose values from a fixed mA scan (normalized to CTDI vol -normalized, denoted as h organ ) and an adjustment factor that reflects the specific irradiation of each organ. The accuracy of the proposed method was quantified by simulating clinical abdominopelvic examinations of 58 patients. The predicted organ doses showed good agreement with simulated organ dose across all organs and modulation schemes. For an average CTDI vol of a CT exam of 10 mGy, the absolute median error across all organs was 0.64 mGy (-0.21 and 0.97 for 25th and 75th percentiles, respectively). The percentage differences were within 15%. The study demonstrates that it is feasible to estimate organ doses in clinical CT examinations for protocols without and with tube current

Integrating unmet needs into dementia health-related quality of life research and care: Introduction of the Hierarchy Model of Needs in Dementia.

NARCIS (Netherlands)

Scholzel-Dorenbos, C.J.M.; Meeuwsen, E.J.; Olde Rikkert, M.G.M.

2010-01-01

OBJECTIVES: To make an inventory of needs assessment instruments in dementia, to explore the interaction between unmet needs and health-related quality of life (HRQoL) and to relate these to the conceptual model of Maslow's Hierarchy of needs in order to design a dementia-specific model. METHODS:

New, strategic outsourcing models to meet changing clinical development needs

Directory of Open Access Journals (Sweden)

Janet Jones

2010-01-01

Full Text Available The impact of increasing clinical costs and the need for more data to support higher efficacy demands and overcome regulatory hurdles for market entry means that every Company is faced with the challenge of how to do more with a smaller budget. As budgets get squeezed the pharmaceutical Industry has been looking at how to contain or reduce cost and support an increased number of projects. With the growing sophistication of outsourcing, this is an increasingly important area of focus. Some Pharmaceutical Companies have moved from tactical, case by case, outsourcing to new, more strategic relationships, which involve outsourcing functions that were historically held as core pharmaceutical functions. An increasing number of Sponsors are looking at strategic relationships which are based on more creative outsourcing approaches. As the need and sophistication of these outsourcing models and the sponsors / CROs involved in them, these approaches are becoming more transformational and need to be based on a strong partnership. Lessons learned from working with sponsors in a partnership model have been examined and two key challenges addressed in detail: the need for bilateral central control though a strong governance model and the importance of early planning and commitment.

New, strategic outsourcing models to meet changing clinical development needs.

Science.gov (United States)

Jones, Janet; Minor, Michael

2010-04-01

The impact of increasing clinical costs and the need for more data to support higher efficacy demands and overcome regulatory hurdles for market entry means that every Company is faced with the challenge of how to do more with a smaller budget. As budgets get squeezed the pharmaceutical Industry has been looking at how to contain or reduce cost and support an increased number of projects. With the growing sophistication of outsourcing, this is an increasingly important area of focus. Some Pharmaceutical Companies have moved from tactical, case by case, outsourcing to new, more strategic relationships, which involve outsourcing functions that were historically held as core pharmaceutical functions. An increasing number of Sponsors are looking at strategic relationships which are based on more creative outsourcing approaches. As the need and sophistication of these outsourcing models and the sponsors / CROs involved in them, these approaches are becoming more transformational and need to be based on a strong partnership. Lessons learned from working with sponsors in a partnership model have been examined and two key challenges addressed in detail: the need for bilateral central control though a strong governance model and the importance of early planning and commitment.

Patients’ needs for care in public mental health: unity and diversity of self-assessed needs for care

Directory of Open Access Journals (Sweden)

Tanja eBellier-Teichmann

2016-02-01

Full Text Available Purpose. Needs assessment is recognized to be a key element of mental health care. Patients tend to present heterogeneous profiles of needs. However, there is no consensus in previous research about how patients’ needs are organized. This study investigates both general and specific dimensions of patients’ needs for care. Methods. Patients’ needs were assessed with ELADEB, an 18-domain self-report scale. The use of a self-assessment scale represents a unique way of obtaining patients’ perceptions. A patient-centered psychiatric practice facilitates empowerment as it is based on the patients’ personal motivations, needs and wants. 471 patients’ profiles were analyzed through exploratory factor analysis. Results. A four-factor bi-factor model, including one general factor and three specific factors of needs was most adequate. Specific factors were: (a ‘finances’ and ‘administrative tasks’; (b ‘transports’, ‘public places’, ‘self-care’, ‘housework’ and ‘food’; (c ‘family’, ‘children’, ‘intimate relationships’ and ‘friendship’.Conclusions. As revealed by the general factor, patients expressing urgent needs in some domains are also more susceptible to report urgent needs in several other domains. This general factor relates to high versus low utilizers of public mental healthcare. Patients also present specific needs in life domains, which are organized in three dimensions: management; functional disabilities; familial and interpersonal relationships. These dimensions relate to the different types of existing social support described in the literature.

The Zebrafish Model Organism Database (ZFIN)

Data.gov (United States)

U.S. Department of Health & Human Services — ZFIN serves as the zebrafish model organism database. It aims to: a) be the community database resource for the laboratory use of zebrafish, b) develop and support...

Assessment of modelling needs for safety analysis of current HTGR concepts

International Nuclear Information System (INIS)

Kroeger, P.G.; Van Tuyle, G.J.

1985-12-01

In view of the recent shift in emphasis of the DOE/Industry HTGR development efforts to smaller modular designs it became necessary to review the modelling needs and the codes available to assess the safety performance of these new designs. This report provides a final assessment of the most urgent modelling needs, comparing these to the tools available, and outlining the most significant areas where further modelling is required. Plans to implement the required work are presented. 47 refs., 20 figs

The initiative on Model Organism Proteomes (iMOP) Session

DEFF Research Database (Denmark)

Schrimpf, Sabine P; Mering, Christian von; Bendixen, Emøke

2012-01-01

iMOP – the Initiative on Model Organism Proteomes – was accepted as a new HUPO initiative at the Ninth HUPO meeting in Sydney in 2010. A goal of iMOP is to integrate research groups working on a great diversity of species into a model organism community. At the Tenth HUPO meeting in Geneva...

IT Business Value Model for Information Intensive Organizations

Directory of Open Access Journals (Sweden)

Antonio Carlos Gastaud Maçada

2012-01-01

Full Text Available Many studies have highlighted the capacity Information Technology (IT has for generating value for organizations. Investments in IT made by organizations have increased each year. Therefore, the purpose of the present study is to analyze the IT Business Value for Information Intensive Organizations (IIO - e.g. banks, insurance companies and securities brokers. The research method consisted of a survey that used and combined the models from Weill and Broadbent (1998 and Gregor, Martin, Fernandez, Stern and Vitale (2006. Data was gathered using an adapted instrument containing 5 dimensions (Strategic, Informational, Transactional, Transformational and Infra-structure with 27 items. The instrument was refined by employing statistical techniques such as Exploratory and Confirmatory Factorial Analysis through Structural Equations (first and second order Model Measurement. The final model is composed of four factors related to IT Business Value: Strategic, Informational, Transactional and Transformational, arranged in 15 items. The dimension Infra-structure was excluded during the model refinement process because it was discovered during interviews that managers were unable to perceive it as a distinct dimension of IT Business Value.

Charge carrier relaxation model in disordered organic semiconductors

International Nuclear Information System (INIS)

Lu, Nianduan; Li, Ling; Sun, Pengxiao; Liu, Ming

2013-01-01

The relaxation phenomena of charge carrier in disordered organic semiconductors have been demonstrated and investigated theoretically. An analytical model describing the charge carrier relaxation is proposed based on the pure hopping transport theory. The relation between the material disorder, electric field and temperature and the relaxation phenomena has been discussed in detail, respectively. The calculated results reveal that the increase of electric field and temperature can promote the relaxation effect in disordered organic semiconductors, while the increase of material disorder will weaken the relaxation. The proposed model can explain well the stretched-exponential law by adopting the appropriate parameters. The calculation shows a good agreement with the experimental data for organic semiconductors

Drosophila melanogaster as a model organism to study nanotoxicity.

Science.gov (United States)

Ong, Cynthia; Yung, Lin-Yue Lanry; Cai, Yu; Bay, Boon-Huat; Baeg, Gyeong-Hun

2015-05-01

Drosophila melanogaster has been used as an in vivo model organism for the study of genetics and development since 100 years ago. Recently, the fruit fly Drosophila was also developed as an in vivo model organism for toxicology studies, in particular, the field of nanotoxicity. The incorporation of nanomaterials into consumer and biomedical products is a cause for concern as nanomaterials are often associated with toxicity in many in vitro studies. In vivo animal studies of the toxicity of nanomaterials with rodents and other mammals are, however, limited due to high operational cost and ethical objections. Hence, Drosophila, a genetically tractable organism with distinct developmental stages and short life cycle, serves as an ideal organism to study nanomaterial-mediated toxicity. This review discusses the basic biology of Drosophila, the toxicity of nanomaterials, as well as how the Drosophila model can be used to study the toxicity of various types of nanomaterials.

MODELING OF MANAGEMENT PROCESSES IN AN ORGANIZATION

Directory of Open Access Journals (Sweden)

Stefan Iovan

2016-05-01

Full Text Available When driving any major change within an organization, strategy and execution are intrinsic to a project’s success. Nevertheless, closing the gap between strategy and execution remains a challenge for many organizations [1]. Companies tend to focus more on execution than strategy for quick results, instead of taking the time needed to understand the parts that make up the whole, so the right execution plan can be put in place to deliver the best outcomes. A large part of this understands that business operations don’t fit neatly within the traditional organizational hierarchy. Business processes are often messy, collaborative efforts that cross teams, departments and systems, making them difficult to manage within a hierarchical structure [2]. Business process management (BPM fills this gap by redefining an organization according to its end-to-end processes, so opportunities for improvement can be identified and processes streamlined for growth, revenue and transformation. This white paper provides guidelines on what to consider when using business process applications to solve your BPM initiatives, and the unique capabilities software systems provides that can help ensure both your project’s success and the success of your organization as a whole. majority of medium and small businesses, big companies and even some guvermental organizations [2].

Results from a workshop on research needs for modeling aquifer thermal energy storage systems

Science.gov (United States)

Drost, M. K.

1990-08-01

A workshop an aquifer thermal energy storage (ATES) system modeling was conducted by Pacific Northwest Laboratory (PNL). The goal of the workshop was to develop a list of high priority research activities that would facilitate the commercial success of ATES. During the workshop, participants reviewed currently available modeling tools for ATES systems and produced a list of significant issues related to modeling ATES systems. Participants assigned a priority to each issue on the list by voting and developed a list of research needs for each of four high-priority research areas; the need for a feasibility study model, the need for engineering design models, the need for aquifer characterization, and the need for an economic model. The workshop participants concluded that ATES commercialization can be accelerated by aggressive development of ATES modeling tools and made specific recommendations for that development.

Lotka-Volterra competition models for sessile organisms.

Science.gov (United States)

Spencer, Matthew; Tanner, Jason E

2008-04-01

Markov models are widely used to describe the dynamics of communities of sessile organisms, because they are easily fitted to field data and provide a rich set of analytical tools. In typical ecological applications, at any point in time, each point in space is in one of a finite set of states (e.g., species, empty space). The models aim to describe the probabilities of transitions between states. In most Markov models for communities, these transition probabilities are assumed to be independent of state abundances. This assumption is often suspected to be false and is rarely justified explicitly. Here, we start with simple assumptions about the interactions among sessile organisms and derive a model in which transition probabilities depend on the abundance of destination states. This model is formulated in continuous time and is equivalent to a Lotka-Volterra competition model. We fit this model and a variety of alternatives in which transition probabilities do not depend on state abundances to a long-term coral reef data set. The Lotka-Volterra model describes the data much better than all models we consider other than a saturated model (a model with a separate parameter for each transition at each time interval, which by definition fits the data perfectly). Our approach provides a basis for further development of stochastic models of sessile communities, and many of the methods we use are relevant to other types of community. We discuss possible extensions to spatially explicit models.

Pengukuran tingkat kesuksesan penerapan website Penerimaan Mahasiswa Baru (PMB online di perguruan tinggi swasta dengan pendekatan Human Organization Technology (HOT Fit model

Directory of Open Access Journals (Sweden)

Ahmad Heru Mujianto

2017-01-01

Abstract Private Higher Education (PHE in Jombang apply online admission of new students selection process, so applicants simply register through admission of new students online website owned by their respective private universities, without needing to the university. But in the implementation there are still prospective students who apply directly to the office of admission of new students PHE, it makes the need to measure the success rate of admission of new students website online application in PHE. Also, so far admission of new students online website PHE in Jombang has never been evaluated to determine the success rate. HOT (Human Organization Technology Fit model is a model of success that can be used as a model for evaluating information systems. There are seven variables used by HOT Fit, i.e., system quality, information quality, service quality, system use, user satisfaction, net beneFits, organizational structure (organization structure. The result of the research shows that there are three assessment indicators with satisfaction value below 85%, the response time is 76,1%; the availability of 71.6% of aid facilities; and 64.2% display satisfaction. So that three indicators need to be increased again to get better results and can optimize the implementation of admission of new students website online PHE in Jombang. Keywords: Admission of new students; HOT Fit; Human Organization Technology; Private Higher Education; PHE.

(Tropical) soil organic matter modelling: problems and prospects

NARCIS (Netherlands)

Keulen, van H.

2001-01-01

Soil organic matter plays an important role in many physical, chemical and biological processes. However, the quantitative relations between the mineral and organic components of the soil and the relations with the vegetation are poorly understood. In such situations, the use of models is an

Evaluation of approaches focused on modelling of organic carbon stocks using the RothC model

Science.gov (United States)

Koco, Štefan; Skalský, Rastislav; Makovníková, Jarmila; Tarasovičová, Zuzana; Barančíková, Gabriela

2014-05-01

SOC stock, groups of plant residues inputs, groups of farmyard manure inputs), we created 661 simulation groups. Within the group, for all simulation units we used average values of inputs. Export of input data and modelling has been carried out manually in the graphic environment of RothC 26.3 v2.0 application for each group separately. SOC stocks were modeled for 661 groups of simulation units. For the second possibility we used RothC 26.3 version for DOS. The inputs for modelling were exported using VBA scripts in the environment of MS Access program. Equilibrium modelling for more variations of plant residues inputs was performed. Subsequently we selected the nearest value of total pool size to the real initial SOC stock value. All simulation units (1617) were automatically modeled by means of the predefined Batch File. The comparison of two methods of modelling showed spatial differentiation of results mainly with the increasing time of modelling period. In the time sequence, from initial period we mark the increasing the number of simulation units with differences in SOC stocks according to selected approaches. Observed differences suggest that the results of modelling obtained by inputs generalization should be taken into account with a certain degree of reserve. At large scales simulations it is more appropriate to use the DOS version of RothC 26.3 model which allows automated modelling. This reduces the time needed for model operation, without the necessity to look for the possibilities of minimizing the simulated units. Key words Soil organic carbon stock, modelling, RothC 26.3, agricultural soils, Slovakia Acknowledgements This work was supported by the Slovak Research and Development Agency under the contract No. APVV-0580-10 and APVV-0131-11.

Optimum web environment model for e-marketing of religious organizations in the Republic of Croatia

Directory of Open Access Journals (Sweden)

Stojanka Dukić

2013-12-01

Full Text Available Although religious organizations are essentially conservative, they are not immune to the changes brought on by the information and communication technology. Thus, one can conclude that all religious organizations, be they more liberal or conservative in their position towards change, use information and communication technology, i.e. the communication channel that it creates, more or less successfully. In fact, a religious organization, as any other organization, can choose between a range of communication channels created by the global network system, i.e. the Internet. The web is probably the most widely used and most popular communication channel available to Internet users. However, the web is not only a communication channel; it has developed into a virtual space, which evolved from being a means of presentation into a global social network. Web environment building is often left to the professionals such as web designers and developers of web sites that focus their attention on the appearance and functionality of web sites, but do not address the mission and goals of the religious organization for which the web system has been developed. In particular, the importance of marketing approach is disregarded, i.e. the necessity to meet the needs of the faithful, who are users of religious organization ‘services’. To create a web environment for religious organizations with optimal form and content, especially in the Republic of Croatia, one must address the task using a systematic or a model approach. For this reason, a study was conducted and a model of optimal web environment for e-marketing of religious organizations in the Republic of Croatia was developed

Impact of organic-mineral matter interactions on thermal reaction pathways for coal model compounds

Energy Technology Data Exchange (ETDEWEB)

Buchanan, A.C. III; Britt, P.F.; Struss, J.A. [Oak Ridge National Lab., TN (United States). Chemical and Analytical Sciences Div.

1995-07-01

Coal is a complex, heterogeneous solid that includes interdispersed mineral matter. However, knowledge of organic-mineral matter interactions is embryonic, and the impact of these interactions on coal pyrolysis and liquefaction is incomplete. Clay minerals, for example, are known to be effective catalysts for organic reactions. Furthermore, clays such as montmorillonite have been proposed to be key catalysts in the thermal alteration of lignin into vitrinite during the coalification process. Recent studies by Hatcher and coworkers on the evolution of coalified woods using microscopy and NMR have led them to propose selective, acid-catalyzed, solid state reaction chemistry to account for retained structural integrity in the wood. However, the chemical feasibility of such reactions in relevant solids is difficult to demonstrate. The authors have begun a model compound study to gain a better molecular level understanding of the effects in the solid state of organic-mineral matter interactions relevant to both coal formation and processing. To satisfy the need for model compounds that remain nonvolatile solids at temperatures ranging to 450 C, model compounds are employed that are chemically bound to the surface of a fumed silica (Si-O-C{sub aryl}linkage). The organic structures currently under investigation are phenethyl phenyl ether (C{sub 6}H{sub 5}CH{sub 2}CH{sub 2}OC{sub 6}H{sub 5}) derivatives, which serve as models for {beta}-alkyl aryl ether units that are present in lignin and lignitic coals. The solid-state chemistry of these materials at 200--450 C in the presence of interdispersed acid catalysts such as small particle size silica-aluminas and montmorillonite clay will be reported. Initial focus will be on defining the potential impact of these interactions on coal pyrolysis and liquefaction.

Inverse modeling of the biodegradation of emerging organic contaminants in the soil-plant system.

Science.gov (United States)

Hurtado, Carlos; Trapp, Stefan; Bayona, Josep M

2016-08-01

Understanding the processes involved in the uptake and accumulation of organic contaminants into plants is very important to assess the possible human risk associated with. Biodegradation of emerging contaminants in plants has been observed, but kinetical studies are rare. In this study, we analyse experimental data on the uptake of emerging organic contaminants into lettuce derived in a greenhouse experiment. Measured soil, root and leaf concentrations from four contaminants were selected within the applicability domain of a steady-state two-compartment standard plant uptake model: bisphenol A (BPA), carbamazepine (CBZ), triclosan (TCS) and caffeine (CAF). The model overestimated concentrations in most cases, when no degradation rates in plants were entered. Subsequently, biodegradation rates were fitted so that the measured concentrations were met. Obtained degradation kinetics are in the order, BPA < CAF ≈ TCS < CBZ in roots, and BPA ≈ TCS < CBZ < CAF in leaves. Kinetics determined by inverse modeling are, despite the inherent uncertainty, indicative of the dissipation rates. The advantage of the procedure that is additional knowledge can be gained from existing experimental data. Dissipation kinetics found via inverse modeling is not a conclusive proof for biodegradation and confirmation by experimental studies is needed. Copyright © 2016. Published by Elsevier Ltd.

Development of a statistical shape model of multi-organ and its performance evaluation

International Nuclear Information System (INIS)

Nakada, Misaki; Shimizu, Akinobu; Kobatake, Hidefumi; Nawano, Shigeru

2010-01-01

Existing statistical shape modeling methods for an organ can not take into account the correlation between neighboring organs. This study focuses on a level set distribution model and proposes two modeling methods for multiple organs that can take into account the correlation between neighboring organs. The first method combines level set functions of multiple organs into a vector. Subsequently it analyses the distribution of the vectors of a training dataset by a principal component analysis and builds a multiple statistical shape model. Second method constructs a statistical shape model for each organ independently and assembles component scores of different organs in a training dataset so as to generate a vector. It analyses the distribution of the vectors of to build a statistical shape model of multiple organs. This paper shows results of applying the proposed methods trained by 15 abdominal CT volumes to unknown 8 CT volumes. (author)

The conceptual model of organization social responsibility

OpenAIRE

LUO, Lan; WEI, Jingfu

2014-01-01

With the developing of the research of CSR, people more and more deeply noticethat the corporate should take responsibility. Whether other organizations besides corporatesshould not take responsibilities beyond their field? This paper puts forward theconcept of organization social responsibility on the basis of the concept of corporate socialresponsibility and other theories. And the conceptual models are built based on theconception, introducing the OSR from three angles: the types of organi...

Resilient organizations: matrix model and service line management.

Science.gov (United States)

Westphal, Judith A

2005-09-01

Resilient organizations modify structures to meet the demands of the marketplace. The author describes a structure that enables multihospital organizations to innovate and rapidly adapt to changes. Service line management within a matrix model is an evolving organizational structure for complex systems in which nurses are pivotal members.

Computational needs for modelling accelerator components

International Nuclear Information System (INIS)

Hanerfeld, H.

1985-06-01

The particle-in-cell MASK is being used to model several different electron accelerator components. These studies are being used both to design new devices and to understand particle behavior within existing structures. Studies include the injector for the Stanford Linear Collider and the 50 megawatt klystron currently being built at SLAC. MASK is a 2D electromagnetic code which is being used by SLAC both on our own IBM 3081 and on the CRAY X-MP at the NMFECC. Our experience with running MASK illustrates the need for supercomputers to continue work of the kind described. 3 refs., 2 figs

Scalability of Sustainable Business Models in Hybrid Organizations

Directory of Open Access Journals (Sweden)

Adam Jabłoński

2016-02-01

Full Text Available The dynamics of change in modern business create new mechanisms for company management to determine their pursuit and the achievement of their high performance. This performance maintained over a long period of time becomes a source of ensuring business continuity by companies. An ontological being enabling the adoption of such assumptions is such a business model that has the ability to generate results in every possible market situation and, moreover, it has the features of permanent adaptability. A feature that describes the adaptability of the business model is its scalability. Being a factor ensuring more work and more efficient work with an increasing number of components, scalability can be applied to the concept of business models as the company’s ability to maintain similar or higher performance through it. Ensuring the company’s performance in the long term helps to build the so-called sustainable business model that often balances the objectives of stakeholders and shareholders, and that is created by the implemented principles of value-based management and corporate social responsibility. This perception of business paves the way for building hybrid organizations that integrate business activities with pro-social ones. The combination of an approach typical of hybrid organizations in designing and implementing sustainable business models pursuant to the scalability criterion seems interesting from the cognitive point of view. Today, hybrid organizations are great spaces for building effective and efficient mechanisms for dialogue between business and society. This requires the appropriate business model. The purpose of the paper is to present the conceptualization and operationalization of scalability of sustainable business models that determine the performance of a hybrid organization in the network environment. The paper presents the original concept of applying scalability in sustainable business models with detailed

Modeling the Explicit Chemistry of Anthropogenic and Biogenic Organic Aerosols

Energy Technology Data Exchange (ETDEWEB)

Madronich, Sasha [Univ. Corporation for Atmospheric Research, Boulder, CO (United States)

2015-12-09

The atmospheric burden of Secondary Organic Aerosols (SOA) remains one of the most important yet uncertain aspects of the radiative forcing of climate. This grant focused on improving our quantitative understanding of SOA formation and evolution, by developing, applying, and improving a highly detailed model of atmospheric organic chemistry, the Generation of Explicit Chemistry and Kinetics of Organics in the Atmosphere (GECKO-A) model. Eleven (11) publications have resulted from this grant.

Do we need 3D tube current modulation information for accurate organ dosimetry in chest CT? Protocols dose comparisons.

Science.gov (United States)

Lopez-Rendon, Xochitl; Zhang, Guozhi; Coudyzer, Walter; Develter, Wim; Bosmans, Hilde; Zanca, Federica

2017-11-01

To compare the lung and breast dose associated with three chest protocols: standard, organ-based tube current modulation (OBTCM) and fast-speed scanning; and to estimate the error associated with organ dose when modelling the longitudinal (z-) TCM versus the 3D-TCM in Monte Carlo simulations (MC) for these three protocols. Five adult and three paediatric cadavers with different BMI were scanned. The CTDI vol of the OBTCM and the fast-speed protocols were matched to the patient-specific CTDI vol of the standard protocol. Lung and breast doses were estimated using MC with both z- and 3D-TCM simulated and compared between protocols. The fast-speed scanning protocol delivered the highest doses. A slight reduction for breast dose (up to 5.1%) was observed for two of the three female cadavers with the OBTCM in comparison to the standard. For both adult and paediatric, the implementation of the z-TCM data only for organ dose estimation resulted in 10.0% accuracy for the standard and fast-speed protocols, while relative dose differences were up to 15.3% for the OBTCM protocol. At identical CTDI vol values, the standard protocol delivered the lowest overall doses. Only for the OBTCM protocol is the 3D-TCM needed if an accurate (<10.0%) organ dosimetry is desired. • The z-TCM information is sufficient for accurate dosimetry for standard protocols. • The z-TCM information is sufficient for accurate dosimetry for fast-speed scanning protocols. • For organ-based TCM schemes, the 3D-TCM information is necessary for accurate dosimetry. • At identical CTDI vol , the fast-speed scanning protocol delivered the highest doses. • Lung dose was higher in XCare than standard protocol at identical CTDI vol .

Secondary organic aerosol in the global aerosol – chemical transport model Oslo CTM2

Directory of Open Access Journals (Sweden)

I. S. A. Isaksen

2007-11-01

. Reducing the yield for α-pinene and limonene oxidation in line with recent measurements reduces the global fraction of SOA formed from NO3 oxidation products from 27% to about 21%. This study underscores the need for SOA to be represented in a more realistic way in global aerosol models in order to better reproduce observations of organic aerosol burdens in industrialised and biomass burning regions.

Xanthusbase: adapting wikipedia principles to a model organism database

OpenAIRE

Arshinoff, Bradley I.; Suen, Garret; Just, Eric M.; Merchant, Sohel M.; Kibbe, Warren A.; Chisholm, Rex L.; Welch, Roy D.

2006-01-01

xanthusBase () is the official model organism database (MOD) for the social bacterium Myxococcus xanthus. In many respects, M.xanthus represents the pioneer model organism (MO) for studying the genetic, biochemical, and mechanistic basis of prokaryotic multicellularity, a topic that has garnered considerable attention due to the significance of biofilms in both basic and applied microbiology research. To facilitate its utility, the design of xanthusBase incorporates open-source software, leve...

Identifying the conditions needed for integrated knowledge translation (IKT) in health care organizations: qualitative interviews with researchers and research users.

Science.gov (United States)

Gagliardi, Anna R; Dobrow, Mark J

2016-07-12

Collaboration among researchers and research users, or integrated knowledge translation (IKT), enhances the relevance and uptake of evidence into policy and practice. However, it is not widely practiced and, even when well-resourced, desired impacts may not be achieved. Given that large-scale investment is not the norm, further research is needed to identify how IKT can be optimized. Interviews were conducted with researchers and research users (clinicians, managers) in a health care delivery (HCDO) and health care monitoring (HCMO) organization that differed in size and infrastructure, and were IKT-naïve. Basic qualitative description was used. Participants were asked about IKT activities and challenges, and recommendations for optimizing IKT. Data were analysed inductively using constant comparative technique. Forty-three interviews were conducted (28 HCDO, 15 HCMO) with 13 researchers, 8 clinicians, and 22 managers. Little to no IKT took place. Participants articulated similar challenges and recommendations revealing that a considerable number of changes were needed at the organizational, professional and individual levels. Given the IKT-absent state of participating organizations, this research identified a core set of conditions which must be addressed to prepare an environment conducive to IKT. These conditions were compiled into a framework by which organizations can plan for, or evaluate their capacity for IKT. The IKT capacity framework is relevant for organizations in which there is no current IKT activity. Use of the IKT framework may result in more organizations that are ready to initiate and establish IKT, perhaps ultimately leading to more, and higher-quality collaboration for health system innovation. Further research is needed to confirm these findings in other organizations not yet resourced for, or undertaking IKT, and to explore the resource implications and mechanisms for establishing the conditions identified here as essential to preparing for

MATRIX-VBS Condensing Organic Aerosols in an Aerosol Microphysics Model

Science.gov (United States)

Gao, Chloe Y.; Tsigaridis, Konstas; Bauer, Susanne E.

2015-01-01

The condensation of organic aerosols is represented in a newly developed box-model scheme, where its effect on the growth and composition of particles are examined. We implemented the volatility-basis set (VBS) framework into the aerosol mixing state resolving microphysical scheme Multiconfiguration Aerosol TRacker of mIXing state (MATRIX). This new scheme is unique and advances the representation of organic aerosols in models in that, contrary to the traditional treatment of organic aerosols as non-volatile in most climate models and in the original version of MATRIX, this new scheme treats them as semi-volatile. Such treatment is important because low-volatility organics contribute significantly to the growth of particles. The new scheme includes several classes of semi-volatile organic compounds from the VBS framework that can partition among aerosol populations in MATRIX, thus representing the growth of particles via condensation of low volatility organic vapors. Results from test cases representing Mexico City and a Finish forrest condistions show good representation of the time evolutions of concentration for VBS species in the gas phase and in the condensed particulate phase. Emitted semi-volatile primary organic aerosols evaporate almost completely in the high volatile range, and they condense more efficiently in the low volatility range.

Democracy versus dictatorship in self-organized models of financial markets

Science.gov (United States)

D'Hulst, R.; Rodgers, G. J.

2000-06-01

Models to mimic the transmission of information in financial markets are introduced. As an attempt to generate the demand process, we distinguish between dictatorship associations, where groups of agents rely on one of them to make decision, and democratic associations, where each agent takes part in the group decision. In the dictatorship model, agents segregate into two distinct populations, while the democratic model is driven towards a critical state where groups of agents of all sizes exist. Hence, both models display a level of organization, but only the democratic model is self-organized. We show that the dictatorship model generates less-volatile markets than the democratic model.

Table of 3D organ model IDs and organ names (PART-OF Tree) - BodyParts3D | LSDB Archive [Life Science Database Archive metadata

Lifescience Database Archive (English)

Full Text Available List Contact us BodyParts3D Table of 3D organ model IDs and organ names (PART-OF Tree) Data detail Data name Table of 3D org...an model IDs and organ names (PART-OF Tree) DOI 10.18908/lsdba.nbdc00837-002 Description of ...data contents List of downloadable 3D organ models in a tab-delimited text file format, describing the correspondence between 3D org...an model IDs and organ names available in PART-OF Tree. D...atabase Site Policy | Contact Us Table of 3D organ model IDs and organ names (PART-OF Tree) - BodyParts3D | LSDB Archive ...

An agent-based simulation model to study accountable care organizations.

Science.gov (United States)

Liu, Pai; Wu, Shinyi

2016-03-01

Creating accountable care organizations (ACOs) has been widely discussed as a strategy to control rapidly rising healthcare costs and improve quality of care; however, building an effective ACO is a complex process involving multiple stakeholders (payers, providers, patients) with their own interests. Also, implementation of an ACO is costly in terms of time and money. Immature design could cause safety hazards. Therefore, there is a need for analytical model-based decision-support tools that can predict the outcomes of different strategies to facilitate ACO design and implementation. In this study, an agent-based simulation model was developed to study ACOs that considers payers, healthcare providers, and patients as agents under the shared saving payment model of care for congestive heart failure (CHF), one of the most expensive causes of sometimes preventable hospitalizations. The agent-based simulation model has identified the critical determinants for the payment model design that can motivate provider behavior changes to achieve maximum financial and quality outcomes of an ACO. The results show nonlinear provider behavior change patterns corresponding to changes in payment model designs. The outcomes vary by providers with different quality or financial priorities, and are most sensitive to the cost-effectiveness of CHF interventions that an ACO implements. This study demonstrates an increasingly important method to construct a healthcare system analytics model that can help inform health policy and healthcare management decisions. The study also points out that the likely success of an ACO is interdependent with payment model design, provider characteristics, and cost and effectiveness of healthcare interventions.

Theory analysis of the Dental Hygiene Human Needs Conceptual Model.

Science.gov (United States)

MacDonald, L; Bowen, D M

2017-11-01

Theories provide a structural knowing about concept relationships, practice intricacies, and intuitions and thus shape the distinct body of the profession. Capturing ways of knowing and being is essential to any professions' practice, education and research. This process defines the phenomenon of the profession - its existence or experience. Theory evaluation is a systematic criterion-based assessment of a specific theory. This study presents a theory analysis of the Dental Hygiene Human Needs Conceptual Model (DH HNCM). Using the Walker and Avant Theory Analysis, a seven-step process, the DH HNCM, was analysed and evaluated for its meaningfulness and contribution to dental hygiene. The steps include the following: (i) investigate the origins; (ii) examine relationships of the theory's concepts; (iii) assess the logic of the theory's structure; (iv) consider the usefulness to practice; (v) judge the generalizability; (vi) evaluate the parsimony; and (vii) appraise the testability of the theory. Human needs theory in nursing and Maslow's Hierarchy of Need Theory prompted this theory's development. The DH HNCM depicts four concepts based on the paradigm concepts of the profession: client, health/oral health, environment and dental hygiene actions, and includes validated eleven human needs that evolved overtime to eight. It is logical, simplistic, allows scientific predictions and testing, and provides a unique lens for the dental hygiene practitioner. With this model, dental hygienists have entered practice, knowing they enable clients to meet their human needs. For the DH HNCM, theory analysis affirmed that the model is reasonable and insightful and adds to the dental hygiene professions' epistemology and ontology. © 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Stage-structured matrix models for organisms with non-geometric development times

Science.gov (United States)

Andrew Birt; Richard M. Feldman; David M. Cairns; Robert N. Coulson; Maria Tchakerian; Weimin Xi; James M. Guldin

2009-01-01

Matrix models have been used to model population growth of organisms for many decades. They are popular because of both their conceptual simplicity and their computational efficiency. For some types of organisms they are relatively accurate in predicting population growth; however, for others the matrix approach does not adequately model...

Using semi-automated curation workflows to collect, organize, and curate the data and models necessary to support the EPA CompTox chemical dashboard (ACS Spring meeting)

Science.gov (United States)

With the increasing need to leverage data and models to perform cutting edge analyses within the environmental science community, collection and organization of that data into a readily accessible format for consumption is a pressing need. The EPA CompTox chemical dashboard is i...

General equilibrium basic needs policy model, (updating part).

OpenAIRE

Kouwenaar A

1985-01-01

ILO pub-WEP pub-PREALC pub. Working paper, econometric model for the assessment of structural change affecting development planning for basic needs satisfaction in Ecuador - considers population growth, family size (households), labour force participation, labour supply, wages, income distribution, profit rates, capital ownership, etc.; examines nutrition, education and health as factors influencing productivity. Diagram, graph, references, statistical tables.

Modeling organic aerosols during MILAGRO: importance of biogenic secondary organic aerosols

Directory of Open Access Journals (Sweden)

A. Hodzic

2009-09-01

Full Text Available The meso-scale chemistry-transport model CHIMERE is used to assess our understanding of major sources and formation processes leading to a fairly large amount of organic aerosols – OA, including primary OA (POA and secondary OA (SOA – observed in Mexico City during the MILAGRO field project (March 2006. Chemical analyses of submicron aerosols from aerosol mass spectrometers (AMS indicate that organic particles found in the Mexico City basin contain a large fraction of oxygenated organic species (OOA which have strong correspondence with SOA, and that their production actively continues downwind of the city. The SOA formation is modeled here by the one-step oxidation of anthropogenic (i.e. aromatics, alkanes, biogenic (i.e. monoterpenes and isoprene, and biomass-burning SOA precursors and their partitioning into both organic and aqueous phases. Conservative assumptions are made for uncertain parameters to maximize the amount of SOA produced by the model. The near-surface model evaluation shows that predicted OA correlates reasonably well with measurements during the campaign, however it remains a factor of 2 lower than the measured total OA. Fairly good agreement is found between predicted and observed POA within the city suggesting that anthropogenic and biomass burning emissions are reasonably captured. Consistent with previous studies in Mexico City, large discrepancies are encountered for SOA, with a factor of 2–10 model underestimate. When only anthropogenic SOA precursors were considered, the model was able to reproduce within a factor of two the sharp increase in OOA concentrations during the late morning at both urban and near-urban locations but the discrepancy increases rapidly later in the day, consistent with previous results, and is especially obvious when the column-integrated SOA mass is considered instead of the surface concentration. The increase in the missing SOA mass in the afternoon coincides with the sharp drop in POA

A multi-model assessment of terrestrial biosphere model data needs

Science.gov (United States)

Gardella, A.; Cowdery, E.; De Kauwe, M. G.; Desai, A. R.; Duveneck, M.; Fer, I.; Fisher, R.; Knox, R. G.; Kooper, R.; LeBauer, D.; McCabe, T.; Minunno, F.; Raiho, A.; Serbin, S.; Shiklomanov, A. N.; Thomas, A.; Walker, A.; Dietze, M.

2017-12-01

Terrestrial biosphere models provide us with the means to simulate the impacts of climate change and their uncertainties. Going beyond direct observation and experimentation, models synthesize our current understanding of ecosystem processes and can give us insight on data needed to constrain model parameters. In previous work, we leveraged the Predictive Ecosystem Analyzer (PEcAn) to assess the contribution of different parameters to the uncertainty of the Ecosystem Demography model v2 (ED) model outputs across various North American biomes (Dietze et al., JGR-G, 2014). While this analysis identified key research priorities, the extent to which these priorities were model- and/or biome-specific was unclear. Furthermore, because the analysis only studied one model, we were unable to comment on the effect of variability in model structure to overall predictive uncertainty. Here, we expand this analysis to all biomes globally and a wide sample of models that vary in complexity: BioCro, CABLE, CLM, DALEC, ED2, FATES, G'DAY, JULES, LANDIS, LINKAGES, LPJ-GUESS, MAESPA, PRELES, SDGVM, SIPNET, and TEM. Prior to performing uncertainty analyses, model parameter uncertainties were assessed by assimilating all available trait data from the combination of the BETYdb and TRY trait databases, using an updated multivariate version of PEcAn's Hierarchical Bayesian meta-analysis. Next, sensitivity analyses were performed for all models across a range of sites globally to assess sensitivities for a range of different outputs (GPP, ET, SH, Ra, NPP, Rh, NEE, LAI) at multiple time scales from the sub-annual to the decadal. Finally, parameter uncertainties and model sensitivities were combined to evaluate the fractional contribution of each parameter to the predictive uncertainty for a specific variable at a specific site and timescale. Facilitated by PEcAn's automated workflows, this analysis represents the broadest assessment of the sensitivities and uncertainties in terrestrial

How Professional Organizations Can Help Meet the Professional Development Needs of Middle School Business and Technology Educators

Science.gov (United States)

Crews, Tena B.

2007-01-01

Middle school business and technology educators were surveyed to examine how professional organizations could meet their professional development needs. A 26 percent response rate (n = 148) was received from middle school educators in 37 states. This research was designed to identify the business and technology courses being taught at the middle…

Predicting The Exit Time Of Employees In An Organization Using Statistical Model

Directory of Open Access Journals (Sweden)

Ahmed Al Kuwaiti

2015-08-01

Full Text Available Employees are considered as an asset to any organization and each organization provide a better and flexible working environment to retain its best and resourceful workforce. As such continuous efforts are being taken to avoid or extend the exitwithdrawal of employees from the organization. Human resource managers are facing a challenge to predict the exit time of employees and there is no precise model existing at present in the literature. This study has been conducted to predict the probability of exit of an employee in an organization using appropriate statistical model. Accordingly authors designed a model using Additive Weibull distribution to predict the expected exit time of employee in an organization. In addition a Shock model approach is also executed to check how well the Additive Weibull distribution suits in an organization. The analytical results showed that when the inter-arrival time increases the expected time for the employees to exit also increases. This study concluded that Additive Weibull distribution can be considered as an alternative in the place of Shock model approach to predict the exit time of employee in an organization.

Thermodynamic data base needs for modeling studies of the Yucca Mountain project

International Nuclear Information System (INIS)

Palmer, C.E.A.; Silva, R.J.; Bucher, J.J.

1996-01-01

This document is the first in a series of documents outlining the thermodynamic data needs for performing geochemical modeling calculations in support of various waste package performance assessment activities for the Yucca Mountain Project. The documents are intended to identify and justify the critical thermodynamic data needs for the data base to be used with the models. The Thermodynamic Data Determinations task supplies data needed to resolve performance or design issues and the development of the data base will remain an iterative process as needs change or data improve. For example, data are needed to predict: (1) major ion groundwater chemistry and its evolution, (2) mineral stabilities and evolution, (3) engineered barrier near-field transport and retardation properties, (4) changes in geochemical conditions and processes, (5) solubilities, speciation and transport of waste radionuclides and (6) the dissolution of corrosion of construction and canister materials and the effect on groundwater chemistry and radionuclide solubilities and transport. The system is complex and interactive, and data need to be supplied in order to model the changes and their effect on other components of the system, e.g., temperature, pH and redox conditions (Eh). Through sensitivity and uncertainty analyses, the critical data and system parameters will be identified and the acceptable variations in them documented

Relevance of the ICRP biokinetic model for dietary organically bound tritium

International Nuclear Information System (INIS)

Trivedi, A.

1999-10-01

Ingested dietary tritium can participate in metabolic processes, and become synthesized into organically bound tritium in the tissues and organs. The distribution and retention of the organically bound tritium throughout the body are much different than tritium in the body water. The International Commission on Radiological Protection (ICRP) Publication 56 (1989) has a biokinetic model to calculate dose from the ingestion of organically bound dietary tritium. The model predicts that the dose from the ingestion of organically bound dietary tritium is about 2.3 times higher than from the ingestion of the same activity of tritiated water. Under steady-state conditions, the calculated dose rate (using the first principle approach) from the ingestion of dietary organically bound tritium can be twice that from the ingestion of tritiated water. For an adult, the upper-bound dose estimate for the ingestion of dietary organically bound tritium is estimated to be close to 2.3 times higher than that of tritiated water. Therefore, given the uncertainty in the dose calculation with respect to the actual relevant dose, the ICRP biokinetic model for organically bound tritium is sufficient for dosimetry for adults. (author)

Similarity-based search of model organism, disease and drug effect phenotypes

KAUST Repository

Hoehndorf, Robert

2015-02-19

Background: Semantic similarity measures over phenotype ontologies have been demonstrated to provide a powerful approach for the analysis of model organism phenotypes, the discovery of animal models of human disease, novel pathways, gene functions, druggable therapeutic targets, and determination of pathogenicity. Results: We have developed PhenomeNET 2, a system that enables similarity-based searches over a large repository of phenotypes in real-time. It can be used to identify strains of model organisms that are phenotypically similar to human patients, diseases that are phenotypically similar to model organism phenotypes, or drug effect profiles that are similar to the phenotypes observed in a patient or model organism. PhenomeNET 2 is available at http://aber-owl.net/phenomenet. Conclusions: Phenotype-similarity searches can provide a powerful tool for the discovery and investigation of molecular mechanisms underlying an observed phenotypic manifestation. PhenomeNET 2 facilitates user-defined similarity searches and allows researchers to analyze their data within a large repository of human, mouse and rat phenotypes.

Electrochemical model of the polyaniline based organic memristive device

International Nuclear Information System (INIS)

Demin, V. A.; Erokhin, V. V.; Kashkarov, P. K.; Kovalchuk, M. V.

2014-01-01

The electrochemical organic memristive device with polyaniline active layer is a stand-alone device designed and realized for reproduction of some synapse properties in the innovative electronic circuits, including the neuromorphic networks capable for learning. In this work, a new theoretical model of the polyaniline memristive is presented. The developed model of organic memristive functioning was based on the detailed consideration of possible electrochemical processes occuring in the active zone of this device. Results of the calculation have demonstrated not only the qualitative explanation of the characteristics observed in the experiment but also the quantitative similarities of the resultant current values. It is shown how the memristive could behave at zero potential difference relative to the reference electrode. This improved model can establish a basis for the design and prediction of properties of more complicated circuits and systems (including stochastic ones) based on the organic memristive devices

A model to accumulate fractionated dose in a deforming organ

International Nuclear Information System (INIS)

Yan Di; Jaffray, D.A.; Wong, J.W.

1999-01-01

Purpose: Measurements of internal organ motion have demonstrated that daily organ deformation exists throughout the course of radiation treatment. However, a method of constructing the resultant dose delivered to the organ volume remains a difficult challenge. In this study, a model to quantify internal organ motion and a method to construct a cumulative dose in a deforming organ are introduced. Methods and Materials: A biomechanical model of an elastic body is used to quantify patient organ motion in the process of radiation therapy. Intertreatment displacements of volume elements in an organ of interest is calculated by applying an finite element method with boundary conditions, obtained from multiple daily computed tomography (CT) measurements. Therefore, by incorporating also the measurements of daily setup error, daily dose delivered to a deforming organ can be accumulated by tracking the position of volume elements in the organ. Furthermore, distribution of patient-specific organ motion is also predicted during the early phase of treatment delivery using the daily measurements, and the cumulative dose distribution in the organ can then be estimated. This dose distribution will be updated whenever a new measurement becomes available, and used to reoptimize the ongoing treatment. Results: An integrated process to accumulate dosage in a daily deforming organ was implemented. In this process, intertreatment organ motion and setup error were systematically quantified, and incorporated in the calculation of the cumulative dose. An example of the rectal wall motion in a prostate treatment was applied to test the model. The displacements of volume elements in the rectal wall, as well as the resultant doses, were calculated. Conclusion: This study is intended to provide a systematic framework to incorporate daily patient-specific organ motion and setup error in the reconstruction of the cumulative dose distribution in an organ of interest. The realistic dose

Analysis of patient organizations' needs and ICT use--The APTIC project in Spain to develop an online collaborative social network.

Science.gov (United States)

Hernández-Encuentra, Eulàlia; Gómez-Zúñiga, Beni; Guillamón, Noemí; Boixadós, Mercè; Armayones, Manuel

2015-12-01

The purpose of this first part of the APTIC (Patient Organisations and ICT) project is to design and run an online collaborative social network for paediatric patient organizations (PPOs). To analyse the needs of PPOs in Spain to identify opportunities to improve health services through the use of ICT. A convenience sample of staff from 35 PPOs (54.68% response rate) participated in a structured online survey and three focus groups (12 PPOs). Paediatric patient organizations' major needs are to provide accredited and managed information, increase personal support and assistance and promote joint commitment to health care. Moreover, PPOs believe in the Internet's potential to meet their needs and support their activities. Basic limitations to using the Internet are lack of knowledge and resources. The discussion of the data includes key elements of designing an online collaborative social network and reflections on health services provided. © 2014 John Wiley & Sons Ltd.

Safety Cultural Competency Modeling in Nuclear Organizations

Energy Technology Data Exchange (ETDEWEB)

Kim, Sa Kil; Oh, Yeon Ju; Luo, Meiling; Lee, Yong Hee [Korea Atomic Energy Research Institute, Daejeon (Korea, Republic of)

2014-05-15

The nuclear safety cultural competency model should be supplemented through a bottom-up approach such as behavioral event interview. The developed model, however, is meaningful for determining what should be dealt for enhancing safety cultural competency of nuclear organizations. The more details of the developing process, results, and applications will be introduced later. Organizational culture include safety culture in terms of its organizational characteristics.

Stages in the development of a model organism as a platform for mechanistic models in developmental biology: Zebrafish, 1970-2000.

Science.gov (United States)

Meunier, Robert

2012-06-01

Model organisms became an indispensable part of experimental systems in molecular developmental and cell biology, constructed to investigate physiological and pathological processes. They are thought to play a crucial role for the elucidation of gene function, complementing the sequencing of the genomes of humans and other organisms. Accordingly, historians and philosophers paid considerable attention to various issues concerning this aspect of experimental biology. With respect to the representational features of model organisms, that is, their status as models, the main focus was on generalization of phenomena investigated in such experimental systems. Model organisms have been said to be models for other organisms or a higher taxon. This, however, presupposes a representation of the phenomenon in question. I will argue that prior to generalization, model organisms allow researchers to built generative material models of phenomena - structures, processes or the mechanisms that explain them - through their integration in experimental set-ups that carve out the phenomena from the whole organism and thus represent them. I will use the history of zebrafish biology to show how model organism systems, from around 1970 on, were developed to construct material models of molecular mechanisms explaining developmental or physiological processes. Copyright © 2011 Elsevier Ltd. All rights reserved.

Modelling the behaviour of organic degradation products

International Nuclear Information System (INIS)

Cross, J.E.; Ewart, F.T.; Greenfield, B.F.

1989-03-01

Results are presented from recent studies at Harwell which show that the degradation products which are formed when certain organic waste materials are exposed to the alkaline conditions typical of a cementitious environment, can enhance the solubility of plutonium, even at pH values as high as 12, by significant factors. Characterisation of the degradation products has been undertaken but the solubility enhancement does not appear to be related to the concentration of any of the major organic species that have been identified in the solutions. While it has not been possible to identify by analysis the organic ligand responsible for the increased solubility of plutonium, the behaviour of D-Saccharic acid does approach the behaviour of the degradation products. The PHREEQE code has been used to simulate the solubility of plutonium in the presence of D-Saccharic acid and other model degradation products, in order to explain the solubility enhancement. The extrapolation of the experimental conditions to the repository is the major objective, but in this work the ability of a model to predict the behaviour of plutonium over a range of experimental conditions has been tested. (author)

WORKABILITY OF A MANAGEMENT CONTROL MODEL IN SERVICE ORGANIZATIONS: A COMPARATIVE STUDY OF REACTIVE, PROACTIVE AND COACTIVE PHILOSOPHIES

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Joshua Onome Imoniana

2006-11-01

Full Text Available The main objective of this study was to compare and contrast the three philosophies of management control models in the process of decision-making, namely reactive, proactive and the coactive. Research methodology was based on literature review and descriptive/exploratory approach. Additionally, a survey of 20 service organizations was carried out in order to make the analysis wider-reaching. In order to do that, the following steps were followed: firstly, fundamentals of reactive, proactive and coactive models were highlighted; secondly, management behaviors in the three approaches were compared, with concepts and their practical application being highlighted, thus retrieving managerial relationships in the organization. In so doing, we draw the hypothesis that middle and top managers who adopt control models that are distant from a more coactive one, usually spend a greater number of working hours in problem-solving, leaving little or no time for planning purposes. Finally, for study consolidation purpose, we have adopted qualitative data collection, whereby a content analysis was carried out with the assistance of six categories. Results have shown the need for a change in management paradigms so that firms are not only compared through financial perspectives, without considering the analysis of management control models which, according to this study, directly influence the operational results of the organizations.

Hydrodynamic modelling as a need for protection of the surface flows

International Nuclear Information System (INIS)

Popovska, Tsvetanka

1997-01-01

The problems of flow in the open flows, rivers and lakes especially today require serious access and its global solving. The choice of basic equations and the method of their solving is from the exceptional importance. Regardless of the fact whether two or three dimensional model is selected, as a global mathematical model it should have three phases: (i) hydrodynamic model with which the current picture is determined, (ii) transport-dispersive model with which the distribution of various physical-chemical parameters is determined and (iii) ecological model which uses the results from the first two phases, determines the situation of degradation and concentration of the various parameters and further provides measures for surpassing the negative situations. The flow in the open flows generally is a turbulent phenomena especially in the zones of emptying-releasing on the surface water currents and contaminants. Characteristic for turbulent flows is their stochastic nature, i.e. they lack and kind of regularity of the physic-hydraulic parameters. So, certain measuring are needed and within todays degree of pollution of our surface waters, we should say urgent. This kind of measuring from hydrodynamic aspect are concerned to the boundary and start conditions, or the conditions which rule on the surface, in the bottom and the coast. From the quality aspect, they need systematic measuring of the biological and chemical parameters. This points out to the need of multidisciplinary and not partial access in developing and application of the mathematical model

Modelling the factors influencing the selection of the construction equipment for Indian construction organizations

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S.V.S. Raja Prasad

2016-09-01

Full Text Available The contribution of Indian construction sector to the GDP is approximately 10%. Under new government policy, it is anticipated that $1000 Billion share for exclusively infrastructure segment would be completed within the next few years. Construction sector in developing country like India still depends on labor and the practice of mechanization, adopting to use of versatile construction equipment is not in force. The need for implementing new technologies and automation is essential to improve the quality, safety and efficiency. To meet the challenges ahead the construction, organizations should focus on utilization of machinery/equipment to achieve desirable results. Modern construction is characterized by the increase in utilization of equipment to accomplish numerous construction activities. The selection of construction equipment often affects the required amount of time and effort. It is therefore important for managements of construction organizations and planners to be familiar with the features of various types of equipment commonly used in construction activities. The selection of appropriate equipment is a crucial decision making process as it involves huge capital investment. The purpose of the present study is to develop a model pertaining to the factors influencing the selection of construction equipment by using interpretive structural modelling and the results indicate that productivity and safety are the important factors in selection of equipment in Indian construction organizations.

Overview of geochemical modeling needs for nuclear waste management

International Nuclear Information System (INIS)

Isherwood, D.J.; Wolery, T.J.

1985-01-01

Geochemical modeling needs for nuclear waste management are discussed with an emphasis on data base development and computer code. Other areas for future research include: precipitation kinetics, fixed fugacity, sorption, glasslt. slashwater interactions, redox disequilibrium and kinetics, radiolysis, solid solutions, and isotopic fractionation. 15 references

A neural model of figure-ground organization.

Science.gov (United States)

Craft, Edward; Schütze, Hartmut; Niebur, Ernst; von der Heydt, Rüdiger

2007-06-01

Psychophysical studies suggest that figure-ground organization is a largely autonomous process that guides--and thus precedes--allocation of attention and object recognition. The discovery of border-ownership representation in single neurons of early visual cortex has confirmed this view. Recent theoretical studies have demonstrated that border-ownership assignment can be modeled as a process of self-organization by lateral interactions within V2 cortex. However, the mechanism proposed relies on propagation of signals through horizontal fibers, which would result in increasing delays of the border-ownership signal with increasing size of the visual stimulus, in contradiction with experimental findings. It also remains unclear how the resulting border-ownership representation would interact with attention mechanisms to guide further processing. Here we present a model of border-ownership coding based on dedicated neural circuits for contour grouping that produce border-ownership assignment and also provide handles for mechanisms of selective attention. The results are consistent with neurophysiological and psychophysical findings. The model makes predictions about the hypothetical grouping circuits and the role of feedback between cortical areas.

Modeling of iodine radiation chemistry in the presence of organic compounds

International Nuclear Information System (INIS)

Taghipour, Fariborz; Evans, Greg J.

2002-01-01

A kinetic-based model was developed that simulates the radiation chemistry of iodine in the presence of organic compounds. The model's mechanistic description of iodine chemistry and generic semi-mechanistic reactions for various classes of organics, provided a reasonable representation of experimental results. The majority of the model and experimental results of iodine volatilization rates were in agreement within an order of magnitude

An Ontology for Modeling Complex Inter-relational Organizations

Science.gov (United States)

Wautelet, Yves; Neysen, Nicolas; Kolp, Manuel

This paper presents an ontology for organizational modeling through multiple complementary aspects. The primary goal of the ontology is to dispose of an adequate set of related concepts for studying complex organizations involved in a lot of relationships at the same time. In this paper, we define complex organizations as networked organizations involved in a market eco-system that are playing several roles simultaneously. In such a context, traditional approaches focus on the macro analytic level of transactions; this is supplemented here with a micro analytic study of the actors' rationale. At first, the paper overviews enterprise ontologies literature to position our proposal and exposes its contributions and limitations. The ontology is then brought to an advanced level of formalization: a meta-model in the form of a UML class diagram allows to overview the ontology concepts and their relationships which are formally defined. Finally, the paper presents the case study on which the ontology has been validated.

Designing with users to meet people needs: a teaching model.

Science.gov (United States)

Anselmi, Laura; Canina, Marita; Coccioni, Elisabetta

2012-01-01

Being in a context of great transformations of the whole system company-product-market, design becomes interpreter of the society and strategic key-point for production realities. Design must assume an ergonomic approach and a methodology oriented to product innovation where people are the main focus of the system. Today it is visible the need for a methodological approach able to include the context of use employing user's "creative skills". In this scenario, a design educational model based only on knowledge doesn't seem to be fulfilling; the traditional "deductive" method doesn't meet the needs of new productive assets, here the urgency to experiment within the "inductive" method for the development of a method where to know and to know how, theory and practice, act synergistically. The aim is to teach a method able to help a young designer to understand people's needs and desires considering both the concrete/cognitive level and the emotional level. The paper presents, through some case studies, an educational model developed combining theoretical/conceptual and practical/applicatory aspects with user experiential aspects. The proposed approach to design enables the students to investigate users' needs and desires and helps them proposing innovative ideas and projects better fitting today's market realities.

Application of several activity coefficient models to water-organic-electrolyte aerosols of atmospheric interest

Directory of Open Access Journals (Sweden)

T. Raatikainen

2005-01-01

Full Text Available In this work, existing and modified activity coefficient models are examined in order to assess their capabilities to describe the properties of aqueous solution droplets relevant in the atmosphere. Five different water-organic-electrolyte activity coefficient models were first selected from the literature. Only one of these models included organics and electrolytes which are common in atmospheric aerosol particles. In the other models, organic species were solvents such as alcohols, and important atmospheric ions like NH4+ could be missing. The predictions of these models were compared to experimental activity and solubility data in aqueous single electrolyte solutions with 31 different electrolytes. Based on the deviations from experimental data and on the capabilities of the models, four predictive models were selected for fitting of new parameters for binary and ternary solutions of common atmospheric electrolytes and organics. New electrolytes (H+, NH4+, Na+, Cl-, NO3- and SO42- and organics (dicarboxylic and some hydroxy acids were added and some modifications were made to the models if it was found useful. All new and most of the existing parameters were fitted to experimental single electrolyte data as well as data for aqueous organics and aqueous organic-electrolyte solutions. Unfortunately, there are very few data available for organic activities in binary solutions and for organic and electrolyte activities in aqueous organic-electrolyte solutions. This reduces model capabilities in predicting solubilities. After the parameters were fitted, deviations from measurement data were calculated for all fitted models, and for different data types. These deviations and the calculated property values were compared with those from other non-electrolyte and organic-electrolyte models found in the literature. Finally, hygroscopic growth factors were calculated for four 100 nm organic-electrolyte particles and these predictions were compared to

Survey Leading Organization Pada Organisasi Islam

OpenAIRE

Bantam, Dian J

2015-01-01

Islamic University is islamic organization that care with public's need, especially for education. One of the vision of Islamic Universities is leading and islamic, to bravely innovate and develop education based on islam. The aim of this study examined one models of Four God-Guided Organizations, there are leading organization. Sample included Islamic universities in Yogyakarta with 112 employees. MANOVA and descriptive test is used to analyze the data. Results showed approximately 48% of Is...

Self-organized quantum rings : Physical characterization and theoretical modeling

NARCIS (Netherlands)

Fomin, V.M.; Gladilin, V.N.; Devreese, J.T.; Koenraad, P.M.; Fomin, V.M.

2014-01-01

An adequate modeling of the self-organized quantum rings is possible only on the basis of the modern characterization of those nanostructures.We discuss an atomic-scale analysis of the indium distribution of self-organized InGaAs quantum rings (QRs). The analysis of the shape, size and composition

Organic Growth Improvement of Indonesian Logistics Companies (A Conceptual Model: Contribution of Strategic Management, Transformational Leadership, and Knowledge Management to Corporate Entrepreneurship and Its Impact on Organic Growth

Directory of Open Access Journals (Sweden)

Darjat Sudrajat

2015-05-01

Full Text Available Indonesian logistics companies needed performance improvement (particularly in organic growth for increasing their competitiveness. Based on previous researches that in order to increase organic growth, it could be conducted through developing corporate entrepreneurship, namely the activities that enhance company’s ability to innovate, take risk and seize market opportunities. The purpose of this paper tried to explore the relationships among variables, namely organic growth (OG, corporate entrepreneurship (CE, transformational leadership (TL, knowledge management (KM, and strategic management (SM. Therefore, this research used causal-explanatory study to explain relationships among the variables. The results of this research were concluded that TL, KM, and SM have contributions to corporate entrepreneurship and organicgrowth. The relationships could be constructed in a conceptual model that could be verified through further research.

Modelling atmospheric transport of persistent organic pollutants in the Northern Hemisphere with a 3-D dynamical model: DEHM-POP

Science.gov (United States)

Hansen, K. M.; Christensen, J. H.; Brandt, J.; Frohn, L. M.; Geels, C.

2004-03-01

The Danish Eulerian Hemispheric Model (DEHM) is a 3-D dynamical atmospheric transport model originally developed to describe the atmospheric transport of sulphur into the Arctic. A new version of the model, DEHM-POP, developed to study the atmospheric transport and environmental fate of persistent organic pollutants (POPs) is presented. During environmental cycling, POPs can be deposited and re-emitted several times before reaching a final destination. A description of the exchange processes between the land/ocean surfaces and the atmosphere is included in the model to account for this multi-hop transport. The α-isomer of the pesticide hexachlorocyclohexane (α-HCH) is used as tracer in the model development. The structure of the model and processes included are described in detail. The results from a model simulation showing the atmospheric transport for the years 1991 to 1998 are presented and evaluated against measurements. The annual averaged atmospheric concentration of α-HCH for the 1990s is well described by the model; however, the shorter-term average concentration for most of the stations is not well captured. This indicates that the present simple surface description needs to be refined to get a better description of the air-surface exchange proceses of POPs.

Partitioning of Nanoparticles into Organic Phases and Model Cells

Energy Technology Data Exchange (ETDEWEB)

Posner, J.D.; Westerhoff, P.; Hou, W-C.

2011-08-25

There is a recognized need to understand and predict the fate, transport and bioavailability of engineered nanoparticles (ENPs) in aquatic and soil ecosystems. Recent research focuses on either collection of empirical data (e.g., removal of a specific NP through water or soil matrices under variable experimental conditions) or precise NP characterization (e.g. size, degree of aggregation, morphology, zeta potential, purity, surface chemistry, and stability). However, it is almost impossible to transition from these precise measurements to models suitable to assess the NP behavior in the environment with complex and heterogeneous matrices. For decades, the USEPA has developed and applies basic partitioning parameters (e.g., octanol-water partition coefficients) and models (e.g., EPI Suite, ECOSAR) to predict the environmental fate, bioavailability, and toxicity of organic pollutants (e.g., pesticides, hydrocarbons, etc.). In this project we have investigated the hypothesis that NP partition coefficients between water and organic phases (octanol or lipid bilayer) is highly dependent on their physiochemical properties, aggregation, and presence of natural constituents in aquatic environments (salts, natural organic matter), which may impact their partitioning into biological matrices (bioaccumulation) and human exposure (bioavailability) as well as the eventual usage in modeling the fate and bioavailability of ENPs. In this report, we use the terminology "partitioning" to operationally define the fraction of ENPs distributed among different phases. The mechanisms leading to this partitioning probably involve both chemical force interactions (hydrophobic association, hydrogen bonding, ligand exchange, etc.) and physical forces that bring the ENPs in close contact with the phase interfaces (diffusion, electrostatic interactions, mixing turbulence, etc.). Our work focuses on partitioning, but also provides insight into the relative behavior of ENPs as either "more like

Organic agriculture as socially responsible business

Directory of Open Access Journals (Sweden)

Božić Mitar

2015-01-01

Full Text Available For decades, the modern world is faced with the need for global, shared responsibility for development, which is in accordance with the needs of people and nature. Every day, the business community is challenged to be more responsible and sustainable. There is a need for continuous work on the integration of economic, social and environmental aspects. Corporate Social Responsibility (CSR is not an additional element of business activity, but it's essential and inseparable component, which will be shown in this paper. Organic agriculture in the world is seen as a good tool for the preservation of the environment, and the concept is coherent with CSR. The system of production of organic food must be in sync with the numerous qualitative and quantitative requirements of environmental protection. Organic agriculture can represent a decisive factor in the development of Serbia, but in this area, there is a necessity for more investment, especially in education and the development of existing capacities. Game theory with its models and conclusions ought to provide sustenance to this topic in business and academic research. In this paper, game theory and its models show that investment in organic production as a socially responsible business generates value. By combining producers and processors in the group, additional economic benefits can be achieved, not only for the group, but also for the entire business in which the group operates. The paper is based on the models of Arya and Mittendorf (2006 and Goering (2012, so it represents their combination and therefore the extended version.

Organized versus self-organized criticality in the abelian sandpile model

OpenAIRE

Fey-den Boer, AC Anne; Redig, FHJ Frank

2005-01-01

We define stabilizability of an infinite volume height configuration and of a probability measure on height configurations. We show that for high enough densities, a probability measure cannot be stabilized. We also show that in some sense the thermodynamic limit of the uniform measures on the recurrent configurations of the abelian sandpile model (ASM) is a maximal element of the set of stabilizable measures. In that sense the self-organized critical behavior of the ASM can be understood in ...

Ames Culture Chamber System: Enabling Model Organism Research Aboard the international Space Station

Science.gov (United States)

Steele, Marianne

2014-01-01

Understanding the genetic, physiological, and behavioral effects of spaceflight on living organisms and elucidating the molecular mechanisms that underlie these effects are high priorities for NASA. Certain organisms, known as model organisms, are widely studied to help researchers better understand how all biological systems function. Small model organisms such as nem-atodes, slime mold, bacteria, green algae, yeast, and moss can be used to study the effects of micro- and reduced gravity at both the cellular and systems level over multiple generations. Many model organisms have sequenced genomes and published data sets on their transcriptomes and proteomes that enable scientific investigations of the molecular mechanisms underlying the adaptations of these organisms to space flight.

Integrating centralized and decentralized organization structures: an education and development model.

Science.gov (United States)

Sheriff, R; Banks, A

2001-01-01

Organization change efforts have led to critically examining the structure of education and development departments within hospitals. This qualitative study evaluated an education and development model in an academic health sciences center. The model combines centralization and decentralization. The study results can be used by staff development educators and administrators when organization structure is questioned. This particular model maximizes the benefits and minimizes the limitations of centralized and decentralized structures.

NEW MODEL FOR QUANTIFICATION OF ICT DEPENDABLE ORGANIZATIONS RESILIENCE

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Zora Arsovski

2011-03-01

Full Text Available Business environment today demands high reliable organizations in every segment to be competitive on the global market. Beside that, ICT sector is becoming irreplaceable in many fields of business, from the communication to the complex systems for process control and production. To fulfill those requirements and to develop further, many organizations worldwide are implementing business paradigm called - organizations resilience. Although resilience is well known term in many science fields, it is not well studied due to its complex nature. This paper is dealing with developing the new model for assessment and quantification of ICT dependable organizations resilience.

Information needs, preferred educational messages and channel of delivery, and opinion on strategies to promote organ donation: a multicultural perspective.

Science.gov (United States)

Wong, L P

2010-10-01

This study assessed the information needs, preferred educational messages and channels of delivery, as well as opinions on strategies to promote organ donation. It aimed to provide insight into a culturally sensitive public education campaign to encourage organ donation in diverse ethnic communities in Asia, namely the Malays, Chinese and Indians. A total of 17 focus group discussions with 105 participants were conducted between September and December 2008. The participants were members of the general public aged 18 to 60 years, who were recruited through convenient sampling in the Klang Valley area of Malaysia. Across ethnic groups, there was a general concern about the mistreatment of the deceased's body in the organ procurement process. The Chinese and Indian participants wanted assurance that the body would be treated with respect and care. The Muslims wanted assurance that the handling of a Muslim's body would follow the rules and regulations of the Islamic faith. The most important information requested by the Muslim participants was whether cadaveric donation is permissible in Islam. A lack of national public education and promotion of organ donation was noted. All the three ethnic groups, especially the Malays, required community and religious leaders for support, encouragement and involvement, as sociocultural influences play a significant role in the willingness to donate organs. The pronounced ethnic differences in information needs suggest that culturally sensitive public educational messages are required. Organ donation and transplantation organisations should work closely with community and religious organisations to address the sociocultural barriers identified.

Increase of Organization in Complex Systems

OpenAIRE

Georgiev, Georgi Yordanov; Daly, Michael; Gombos, Erin; Vinod, Amrit; Hoonjan, Gajinder

2013-01-01

Measures of complexity and entropy have not converged to a single quantitative description of levels of organization of complex systems. The need for such a measure is increasingly necessary in all disciplines studying complex systems. To address this problem, starting from the most fundamental principle in Physics, here a new measure for quantity of organization and rate of self-organization in complex systems based on the principle of least (stationary) action is applied to a model system -...

Model potential for the description of metal/organic interface states

Science.gov (United States)

Armbrust, Nico; Schiller, Frederik; Güdde, Jens; Höfer, Ulrich

2017-01-01

We present an analytical one-dimensional model potential for the description of electronic interface states that form at the interface between a metal surface and flat-lying adlayers of π-conjugated organic molecules. The model utilizes graphene as a universal representation of these organic adlayers. It predicts the energy position of the interface state as well as the overlap of its wave function with the bulk metal without free fitting parameters. We show that the energy of the interface state depends systematically on the bond distance between the carbon backbone of the adayers and the metal. The general applicability and robustness of the model is demonstrated by a comparison of the calculated energies with numerous experimental results for a number of flat-lying organic molecules on different closed-packed metal surfaces that cover a large range of bond distances. PMID:28425444

A STRATEGIC MANAGEMENT MODEL FOR SERVICE ORGANIZATIONS

OpenAIRE

Andreea ZAMFIR

2013-01-01

This paper provides a knowledge-based strategic management of services model, with a view to emphasise an approach to gaining competitive advantage through knowledge, people and networking. The long-term evolution of the service organization is associated with the way in which the strategic management is practised.

Expanding on Successful Concepts, Models, and Organization

Science.gov (United States)

If the goal of the AEP framework was to replace existing exposure models or databases for organizing exposure data with a concept, we would share Dr. von Göetz concerns. Instead, the outcome we promote is broader use of an organizational framework for exposure science. The f...

User-driven health care: answering multidimensional information needs in individual patients utilizing post-EBM approaches: an operational model.

Science.gov (United States)

Biswas, Rakesh; Maniam, Jayanthy; Lee, Edwin Wen Huo; Gopal, Premalatha; Umakanth, Shashikiran; Dahiya, Sumit; Ahmed, Sayeed

2008-10-01

The hypothesis in the conceptual model was that a user-driven innovation in presently available information and communication technology infrastructure would be able to meet patient and health professional users information needs and help them attain better health outcomes. An operational model was created to plan a trial on a sample diabetic population utilizing a randomized control trial design, assigning one randomly selected group of diabetics to receive electronic information intervention and analyse if it would improve their health outcomes in comparison with a matched diabetic population who would only receive regular medical intervention. Diabetes was chosen for this particular trial, as it is a major chronic illness in Malaysia as elsewhere in the world. It is in essence a position paper for how the study concept should be organized to stimulate wider discussion prior to beginning the study.

A model to incorporate organ deformation in the evaluation of dose/volume relationship

International Nuclear Information System (INIS)

Yan, D.; Jaffray, D.; Wong, J.; Brabbins, D.; Martinez, A. A.

1997-01-01

Purpose: Measurements of internal organ motion have demonstrated that daily organ deformation exists during the course of radiation treatment. However, a model to evaluate the resultant dose delivered to a daily deformed organ remains a difficult challenge. Current methods which model such organ deformation as rigid body motion in the dose calculation for treatment planning evaluation are incorrect and misleading. In this study, a new model for treatment planning evaluation is introduced which incorporates patient specific information of daily organ deformation and setup variation. The model was also used to retrospectively analyze the actual treatment data measured using daily CT scans for 5 patients with prostate treatment. Methods and Materials: The model assumes that for each patient, the organ of interest can be measured during the first few treatment days. First, the volume of each organ is delineated from each of the daily measurements and cumulated in a 3D bit-map. A tissue occupancy distribution is then constructed with the 50% isodensity representing the mean, or effective, organ volume. During the course of treatment, each voxel in the effective organ volume is assumed to move inside a local 3D neighborhood with a specific distribution function. The neighborhood and the distribution function are deduced from the positions and shapes of the organ in the first few measurements using the biomechanics model of viscoelastic body. For each voxel, the local distribution function is then convolved with the spatial dose distribution. The latter includes also the variation in dose due to daily setup error. As a result, the cumulative dose to the voxel incorporates the effects of daily setup variation and organ deformation. A ''variation adjusted'' dose volume histogram, aDVH, for the effective organ volume can then be constructed for the purpose of treatment evaluation and optimization. Up to 20 daily CT scans and daily portal images for 5 patients with prostate

A Framework for Formal Modeling and Analysis of Organizations

NARCIS (Netherlands)

Jonker, C.M.; Sharpanskykh, O.; Treur, J.; P., Yolum

2007-01-01

A new, formal, role-based, framework for modeling and analyzing both real world and artificial organizations is introduced. It exploits static and dynamic properties of the organizational model and includes the (frequently ignored) environment. The transition is described from a generic framework of

NASCENT: an automatic protein interaction network generation tool for non-model organisms.

Science.gov (United States)

Banky, Daniel; Ordog, Rafael; Grolmusz, Vince

2009-04-24

Large quantity of reliable protein interaction data are available for model organisms in public depositories (e.g., MINT, DIP, HPRD, INTERACT). Most data correspond to experiments with the proteins of Saccharomyces cerevisiae, Drosophila melanogaster, Homo sapiens, Caenorhabditis elegans, Escherichia coli and Mus musculus. For other important organisms the data availability is poor or non-existent. Here we present NASCENT, a completely automatic web-based tool and also a downloadable Java program, capable of modeling and generating protein interaction networks even for non-model organisms. The tool performs protein interaction network modeling through gene-name mapping, and outputs the resulting network in graphical form and also in computer-readable graph-forms, directly applicable by popular network modeling software. http://nascent.pitgroup.org.

Cracking the Illiteracy Kernel: Need for a New Model

Science.gov (United States)

Gafoor, K. Abdul; PG, Jayasudha

2011-01-01

This paper discusses the need for new model and approach to solve the problem of illiteracy of the most backward section of the society-women among scheduled and other backward classes. The empirical support for the study is testing, interview and observation conducted on the present status of 100 from among 1,500 adult learners who attended a…

Modeling the gas-particle partitioning of secondary organic aerosol: the importance of liquid-liquid phase separation

Directory of Open Access Journals (Sweden)

A. Zuend

2012-05-01

Full Text Available The partitioning of semivolatile organic compounds between the gas phase and aerosol particles is an important source of secondary organic aerosol (SOA. Gas-particle partitioning of organic and inorganic species is influenced by the physical state and water content of aerosols, and therefore ambient relative humidity (RH, as well as temperature and organic loading levels. We introduce a novel combination of the thermodynamic models AIOMFAC (for liquid mixture non-ideality and EVAPORATION (for pure compound vapor pressures with oxidation product information from the Master Chemical Mechanism (MCM for the computation of gas-particle partitioning of organic compounds and water. The presence and impact of a liquid-liquid phase separation in the condensed phase is calculated as a function of variations in relative humidity, organic loading levels, and associated changes in aerosol composition. We show that a complex system of water, ammonium sulfate, and SOA from the ozonolysis of α-pinene exhibits liquid-liquid phase separation over a wide range of relative humidities (simulated from 30% to 99% RH. Since fully coupled phase separation and gas-particle partitioning calculations are computationally expensive, several simplified model approaches are tested with regard to computational costs and accuracy of predictions compared to the benchmark calculation. It is shown that forcing a liquid one-phase aerosol with or without consideration of non-ideal mixing bears the potential for vastly incorrect partitioning predictions. Assuming an ideal mixture leads to substantial overestimation of the particulate organic mass, by more than 100% at RH values of 80% and by more than 200% at RH values of 95%. Moreover, the simplified one-phase cases stress two key points for accurate gas-particle partitioning calculations: (1 non-ideality in the condensed phase needs to be considered and (2 liquid-liquid phase separation is a consequence of considerable deviations

Improving Catastrophe Modeling for Business Interruption Insurance Needs.

Science.gov (United States)

Rose, Adam; Huyck, Charles K

2016-10-01

While catastrophe (CAT) modeling of property damage is well developed, modeling of business interruption (BI) lags far behind. One reason is the crude nature of functional relationships in CAT models that translate property damage into BI. Another is that estimating BI losses is more complicated because it depends greatly on public and private decisions during recovery with respect to resilience tactics that dampen losses by using remaining resources more efficiently to maintain business function and to recover more quickly. This article proposes a framework for improving hazard loss estimation for BI insurance needs. Improved data collection that allows for analysis at the level of individual facilities within a company can improve matching the facilities with the effectiveness of individual forms of resilience, such as accessing inventories, relocating operations, and accelerating repair, and can therefore improve estimation accuracy. We then illustrate the difference this can make in a case study example of losses from a hurricane. © 2016 Society for Risk Analysis.

Integrated modelling of two xenobiotic organic compounds

DEFF Research Database (Denmark)

Lindblom, Erik Ulfson; Gernaey, K.V.; Henze, Mogens

2006-01-01

This paper presents a dynamic mathematical model that describes the fate and transport of two selected xenobiotic organic compounds (XOCs) in a simplified representation. of an integrated urban wastewater system. A simulation study, where the xenobiotics bisphenol A and pyrene are used as reference...... compounds, is carried out. Sorption and specific biological degradation processes are integrated with standardised water process models to model the fate of both compounds. Simulated mass flows of the two compounds during one dry weather day and one wet weather day are compared for realistic influent flow...... rate and concentration profiles. The wet weather day induces resuspension of stored sediments, which increases the pollutant load on the downstream system. The potential of the model to elucidate important phenomena related to origin and fate of the model compounds is demonstrated....

Laos Organization Name Using Cascaded Model Based on SVM and CRF

Directory of Open Access Journals (Sweden)

Duan Shaopeng

2017-01-01

Full Text Available According to the characteristics of Laos organization name, this paper proposes a two layer model based on conditional random field (CRF and support vector machine (SVM for Laos organization name recognition. A layer of model uses CRF to recognition simple organization name, and the result is used to support the decision of the second level. Based on the driving method, the second layer uses SVM and CRF to recognition the complicated organization name. Finally, the results of the two levels are combined, And by a subsequent treatment to correct results of low confidence recognition. The results show that this approach based on SVM and CRF is efficient in recognizing organization name through open test for real linguistics, and the recalling rate achieve 80. 83％and the precision rate achieves 82. 75％.

Aging, neurogenesis, and caloric restriction in different model organisms.

Science.gov (United States)

Arslan-Ergul, Ayca; Ozdemir, A Tugrul; Adams, Michelle M

2013-08-01

Brain aging is a multifactorial process that is occurring across multiple cognitive domains. A significant complaint that occurs in the elderly is a decrement in learning and memory ability. Both rodents and zebrafish exhibit a similar problem with memory during aging. The neurobiological changes that underlie this cognitive decline are complex and undoubtedly influenced by many factors. Alterations in the birth of new neurons and neuron turnover may contribute to age-related cognitive problems. Caloric restriction is the only non-genetic intervention that reliably increases life span and healthspan across multiple organisms although the molecular mechanisms are not well-understood. Recently the zebrafish has become a popular model organism for understanding the neurobiological consequences but to date very little work has been performed. Similarly, few studies have examined the effects of dietary restriction in zebrafish. Here we review the literature related to memory decline, neurogenesis, and caloric restriction across model organisms and suggest that zebrafish has the potential to be an important animal model for understanding the complex interactions between age, neurobiological changes in the brain, and dietary regimens or their mimetics as interventions.

Purex process modelling - do we really need speciation data?

International Nuclear Information System (INIS)

Taylor, R.J.; May, I.

2001-01-01

The design of reprocessing flowsheets has become a complex process requiring sophisticated simulation models, containing both chemical and engineering features. Probably the most basic chemical data needed is the distribution of process species between solvent and aqueous phases at equilibrium, which is described by mathematical algorithms. These algorithms have been constructed from experimentally determined distribution coefficients over a wide range of conditions. Distribution algorithms can either be empirical fits of the data or semi-empirical equations, which describe extraction as functions of process variables such as temperature, activity coefficients, uranium loading, etc. Speciation data is not strictly needed in the accumulation of distribution coefficients, which are simple ratios of analyte concentration in the solvent phase to that in the aqueous phase. However, as we construct process models of increasing complexity, speciation data becomes much more important both to raise confidence in the model and to understand the process chemistry at a more fundamental level. UV/vis/NIR spectrophotometry has been our most commonly used speciation method since it is a well-established method for the analysis of actinide ion oxidation states in solution at typical process concentrations. However, with the increasing availability to actinide science of more sophisticated techniques (e.g. NMR; EXAFS) complementary structural information can often be obtained. This paper will, through examples, show how we have used spectrophotometry as a primary tool in distribution and kinetic experiments to obtain data for process models, which are then validated through counter-current flowsheet trials. It will also discuss how spectrophotometry and other speciation methods are allowing us to study the link between molecular structure and extraction behaviour, showing how speciation data really is important in PUREX process modelling. (authors)

Multiple organ definition in CT using a Bayesian approach for 3D model fitting

Science.gov (United States)

Boes, Jennifer L.; Weymouth, Terry E.; Meyer, Charles R.

1995-08-01

Organ definition in computed tomography (CT) is of interest for treatment planning and response monitoring. We present a method for organ definition using a priori information about shape encoded in a set of biometric organ models--specifically for the liver and kidney-- that accurately represents patient population shape information. Each model is generated by averaging surfaces from a learning set of organ shapes previously registered into a standard space defined by a small set of landmarks. The model is placed in a specific patient's data set by identifying these landmarks and using them as the basis for model deformation; this preliminary representation is then iteratively fit to the patient's data based on a Bayesian formulation of the model's priors and CT edge information, yielding a complete organ surface. We demonstrate this technique using a set of fifteen abdominal CT data sets for liver surface definition both before and after the addition of a kidney model to the fitting; we demonstrate the effectiveness of this tool for organ surface definition in this low-contrast domain.

Morphology and electrophysiology of the vestibular organ in the guinea pig

NARCIS (Netherlands)

Oei, Markus Lee Yang Murti

2003-01-01

To obtain more information about the anatomy and function of the vestibular organ in normal and pathological conditions, evaluation methods are needed. For experimental purposes, the vestibular organ of the guinea pig is often used as a model for the human vestibular organ. The purpose of the

Development and evaluation of a skin organ model for the analysis of radiation effects

International Nuclear Information System (INIS)

Meineke, V.; Mueller, K.; Ridi, R.; Cordes, N.; Beuningen, D. van; Koehn, F.M.; Ring, J.; Mayerhofer, A.

2004-01-01

Background and purpose: the reaction of tissues to ionizing radiation involves alterations in cell-cell and cell-matrix interactions mediated by cellular adhesion molecules. The aim of this study was to develop and evaluate an artificial skin organ model for the analysis of radiation effects. Material and methods: a human co-culture system consisting of the spontaneously immortalized keratinocyte cell line HaCaT and primary HDFa fibroblasts embedded into a collagen sponge was established. This skin organ model has been characterized and evaluated for its suitability for radiobiological investigations. For that purpose, expression of β 1 -integrin following irradiation was compared in the skin organ model and in HaCaT monolayer cells (FACScan and immunohistochemistry). Furthermore, the influence of ionizing radiation on DNA fragmentation was investigated in the skin organ model (TUNEL assay). Results: the novel skin organ model showed characteristics of human skin as demonstrated by cytokeratin and Ki-67 immunoreactivity and by electron microscopy. A single dose of 5 Gy X-irradiation induced an upregulation of β 1 -integrin expression both in the skin organ model and in HaCaT cells. Following irradiation, β 1 -integrin immunoreactivity was intensified in the upper layers of the epidermis equivalent whereas it was almost absent in the deeper layers. Additionally, irradiation of the skin organ model also caused a marked increase of DNA fragmentation. Conclusion: these results demonstrate that the novel skin organ model is suitable to investigate cellular radiation effects under three-dimensional conditions. This allows to investigate radiation effects which cannot be demonstrated in monolayer cell cultures. (orig.)

Plausible carrier transport model in organic-inorganic hybrid perovskite resistive memory devices

Science.gov (United States)

Park, Nayoung; Kwon, Yongwoo; Choi, Jaeho; Jang, Ho Won; Cha, Pil-Ryung

2018-04-01

We demonstrate thermally assisted hopping (TAH) as an appropriate carrier transport model for CH3NH3PbI3 resistive memories. Organic semiconductors, including organic-inorganic hybrid perovskites, have been previously speculated to follow the space-charge-limited conduction (SCLC) model. However, the SCLC model cannot reproduce the temperature dependence of experimental current-voltage curves. Instead, the TAH model with temperature-dependent trap densities and a constant trap level are demonstrated to well reproduce the experimental results.

MIANN models in medicinal, physical and organic chemistry.

Science.gov (United States)

González-Díaz, Humberto; Arrasate, Sonia; Sotomayor, Nuria; Lete, Esther; Munteanu, Cristian R; Pazos, Alejandro; Besada-Porto, Lina; Ruso, Juan M

2013-01-01

Reducing costs in terms of time, animal sacrifice, and material resources with computational methods has become a promising goal in Medicinal, Biological, Physical and Organic Chemistry. There are many computational techniques that can be used in this sense. In any case, almost all these methods focus on few fundamental aspects including: type (1) methods to quantify the molecular structure, type (2) methods to link the structure with the biological activity, and others. In particular, MARCH-INSIDE (MI), acronym for Markov Chain Invariants for Networks Simulation and Design, is a well-known method for QSAR analysis useful in step (1). In addition, the bio-inspired Artificial-Intelligence (AI) algorithms called Artificial Neural Networks (ANNs) are among the most powerful type (2) methods. We can combine MI with ANNs in order to seek QSAR models, a strategy which is called herein MIANN (MI & ANN models). One of the first applications of the MIANN strategy was in the development of new QSAR models for drug discovery. MIANN strategy has been expanded to the QSAR study of proteins, protein-drug interactions, and protein-protein interaction networks. In this paper, we review for the first time many interesting aspects of the MIANN strategy including theoretical basis, implementation in web servers, and examples of applications in Medicinal and Biological chemistry. We also report new applications of the MIANN strategy in Medicinal chemistry and the first examples in Physical and Organic Chemistry, as well. In so doing, we developed new MIANN models for several self-assembly physicochemical properties of surfactants and large reaction networks in organic synthesis. In some of the new examples we also present experimental results which were not published up to date.

Information age organization: No new ethics need apply

Energy Technology Data Exchange (ETDEWEB)

Zucker, A.

1994-12-31

Customer oriented decisions will be made by those closest to the customer, not by those at a distance. Information needed for customer oriented decisions will be readily available to the decider. Levels of hierarchy will be reduced but there will still be command accountability; if only for who hired that guy? Goals will be customer oriented - not level or job oriented. That is, protecting one`s ass or furthering one`s position will not be as easy as it is now; nor, for that matter, needed.

Regional Persistent Organic Pollutants' Environmental Impact Assessment and Control Model

Directory of Open Access Journals (Sweden)

Jurgis Staniskis

2008-10-01

Full Text Available The sources of formation, environmental distribution and fate of persistent organic pollutants (POPs are increasingly seen as topics to be addressed and solved at the global scale. Therefore, there are already two international agreements concerning persistent organic pollutants: the Protocol of 1998 to the 1979 Convention on the Long-Range Transboundary Air Pollution on Persistent Organic Pollutants (Aarhus Protocol; and the Stockholm Convention on Persistent Organic Pollutants. For the assessment of environmental pollution of POPs, for the risk assessment, for the evaluation of new pollutants as potential candidates to be included in the POPs list of the Stokholmo or/and Aarhus Protocol, a set of different models are developed or under development. Multimedia models help describe and understand environmental processes leading to global contamination through POPs and actual risk to the environment and human health. However, there is a lack of the tools based on a systematic and integrated approach to POPs management difficulties in the region.

SEX-DETector: A Probabilistic Approach to Study Sex Chromosomes in Non-Model Organisms

Science.gov (United States)

Muyle, Aline; Käfer, Jos; Zemp, Niklaus; Mousset, Sylvain; Picard, Franck; Marais, Gabriel AB

2016-01-01

We propose a probabilistic framework to infer autosomal and sex-linked genes from RNA-seq data of a cross for any sex chromosome type (XY, ZW, and UV). Sex chromosomes (especially the non-recombining and repeat-dense Y, W, U, and V) are notoriously difficult to sequence. Strategies have been developed to obtain partially assembled sex chromosome sequences. Most of them remain difficult to apply to numerous non-model organisms, either because they require a reference genome, or because they are designed for evolutionarily old systems. Sequencing a cross (parents and progeny) by RNA-seq to study the segregation of alleles and infer sex-linked genes is a cost-efficient strategy, which also provides expression level estimates. However, the lack of a proper statistical framework has limited a broader application of this approach. Tests on empirical Silene data show that our method identifies 20–35% more sex-linked genes than existing pipelines, while making reliable inferences for downstream analyses. Approximately 12 individuals are needed for optimal results based on simulations. For species with an unknown sex-determination system, the method can assess the presence and type (XY vs. ZW) of sex chromosomes through a model comparison strategy. The method is particularly well optimized for sex chromosomes of young or intermediate age, which are expected in thousands of yet unstudied lineages. Any organisms, including non-model ones for which nothing is known a priori, that can be bred in the lab, are suitable for our method. SEX-DETector and its implementation in a Galaxy workflow are made freely available. PMID:27492231

Lamination of organic solar cells and organic light emitting devices: Models and experiments

International Nuclear Information System (INIS)

Oyewole, O. K.; Yu, D.; Du, J.; Asare, J.; Fashina, A.; Anye, V. C.; Zebaze Kana, M. G.; Soboyejo, W. O.

2015-01-01

In this paper, a combined experimental, computational, and analytical approach is used to provide new insights into the lamination of organic solar cells and light emitting devices at macro- and micro-scales. First, the effects of applied lamination force (on contact between the laminated layers) are studied. The crack driving forces associated with the interfacial cracks (at the bi-material interfaces) are estimated along with the critical interfacial crack driving forces associated with the separation of thin films, after layer transfer. The conditions for successful lamination are predicted using a combination of experiments and computational models. Guidelines are developed for the lamination of low-cost organic electronic structures

Research needs

International Nuclear Information System (INIS)

Anon.

1993-01-01

Research needs were identified during working sessions for several potential separation options. These options include sequestering agents, solvent extraction, membranes, solid sorbents, novel approaches, organic separation and destruction methods, and radiation and chemical stability of separation materials

Integrating Behavioral-Motive and Experiential-Requirement Perspectives on Psychological Needs: A Two Process Model

Science.gov (United States)

Sheldon, Kennon M.

2011-01-01

Psychological need theories offer much explanatory potential for behavioral scientists, but there is considerable disagreement and confusion about what needs are and how they work. A 2-process model of psychological needs is outlined, viewing needs as evolved functional systems that provide both (a) innate psychosocial motives that tend to impel…

Publicly available models to predict normal boiling point of organic compounds

International Nuclear Information System (INIS)

Oprisiu, Ioana; Marcou, Gilles; Horvath, Dragos; Brunel, Damien Bernard; Rivollet, Fabien; Varnek, Alexandre

2013-01-01

Quantitative structure–property models to predict the normal boiling point (T b ) of organic compounds were developed using non-linear ASNNs (associative neural networks) as well as multiple linear regression – ISIDA-MLR and SQS (stochastic QSAR sampler). Models were built on a diverse set of 2098 organic compounds with T b varying in the range of 185–491 K. In ISIDA-MLR and ASNN calculations, fragment descriptors were used, whereas fragment, FPTs (fuzzy pharmacophore triplets), and ChemAxon descriptors were employed in SQS models. Prediction quality of the models has been assessed in 5-fold cross validation. Obtained models were implemented in the on-line ISIDA predictor at (http://infochim.u-strasbg.fr/webserv/VSEngine.html)

Evidence in the learning organization

Directory of Open Access Journals (Sweden)

Umscheid Craig A

2009-03-01

Full Text Available Abstract Background Organizational leaders in business and medicine have been experiencing a similar dilemma: how to ensure that their organizational members are adopting work innovations in a timely fashion. Organizational leaders in healthcare have attempted to resolve this dilemma by offering specific solutions, such as evidence-based medicine (EBM, but organizations are still not systematically adopting evidence-based practice innovations as rapidly as expected by policy-makers (the knowing-doing gap problem. Some business leaders have adopted a systems-based perspective, called the learning organization (LO, to address a similar dilemma. Three years ago, the Society of General Internal Medicine's Evidence-based Medicine Task Force began an inquiry to integrate the EBM and LO concepts into one model to address the knowing-doing gap problem. Methods During the model development process, the authors searched several databases for relevant LO frameworks and their related concepts by using a broad search strategy. To identify the key LO frameworks and consolidate them into one model, the authors used consensus-based decision-making and a narrative thematic synthesis guided by several qualitative criteria. The authors subjected the model to external, independent review and improved upon its design with this feedback. Results The authors found seven LO frameworks particularly relevant to evidence-based practice innovations in organizations. The authors describe their interpretations of these frameworks for healthcare organizations, the process they used to integrate the LO frameworks with EBM principles, and the resulting Evidence in the Learning Organization (ELO model. They also provide a health organization scenario to illustrate ELO concepts in application. Conclusion The authors intend, by sharing the LO frameworks and the ELO model, to help organizations identify their capacities to learn and share knowledge about evidence-based practice

A review of modelling the interaction between natural organic matter and metal cations

International Nuclear Information System (INIS)

Falck, W.E.

1989-01-01

This report reviews techniques available to model the interaction between natural organic matter (mainly fulvic and humic acids) and metal cations and protons. A comprehensive overview over the properties of natural organic matter is given and experimental techniques are presented briefly. Two major concepts of modelling have been identified: discrete ligand models and continuous distribution model. Different modelling approaches like Discrete Ligand Models (s.s.), Random-Structure Model, Affinity Spectra, Statistical Distribution Models, Continuous Stability Function Models and surface sorption models and their advantages/disadvantages are discussed. (author)

Tracking the long-distance dispersal of marine organisms: sensitivity to ocean model resolution

OpenAIRE

Putman, Nathan F.; He, Ruoying

2013-01-01

Ocean circulation models are widely used to simulate organism transport in the open sea, where challenges of directly tracking organisms across vast spatial and temporal scales are daunting. Many recent studies tout the use of ‘high-resolution’ models, which are forced with atmospheric data on the scale of several hours and integrated with a time step of several minutes or seconds. However, in many cases, the model's outputs that are used to simulate organism movement have been averaged to co...

At the Intersection of HIV/AIDS and Cancer: A Qualitative Needs Assessment of Community-Based HIV/AIDS Service Organizations

Science.gov (United States)

Burkhalter, Jack E.; Cahill, Sean; Shuk, Elyse; Guidry, John; Corner, Geoffrey; Berk, Alexandra; Candelario, Norman; Kornegay, Mark; Lubetkin, Erica I.

2013-01-01

Due to advances in treatment, persons living with human immunodeficiency virus (HIV) or acquired immunodeficiency syndrome (AIDS) are living longer, but with aging, immune deficits, and lifestyle factors, they are at increased risk for cancer. This challenges community-based AIDS service organizations (ASOs) to address the growing cancer needs of…

Plausible carrier transport model in organic-inorganic hybrid perovskite resistive memory devices

Directory of Open Access Journals (Sweden)

Nayoung Park

2018-04-01

Full Text Available We demonstrate thermally assisted hopping (TAH as an appropriate carrier transport model for CH3NH3PbI3 resistive memories. Organic semiconductors, including organic-inorganic hybrid perovskites, have been previously speculated to follow the space-charge-limited conduction (SCLC model. However, the SCLC model cannot reproduce the temperature dependence of experimental current-voltage curves. Instead, the TAH model with temperature-dependent trap densities and a constant trap level are demonstrated to well reproduce the experimental results.

Basic principles of information technology organization in health care institutions.

Science.gov (United States)

Mitchell, J A

1997-01-01

This paper focuses on the basic principles of information technology (IT) organization within health sciences centers. The paper considers the placement of the leader of the IT effort within the health sciences administrative structure and the organization of the IT unit. A case study of the University of Missouri-Columbia Health Sciences Center demonstrates how a role-based organizational model for IT support can be effective for determining the boundary between centralized and decentralized organizations. The conclusions are that the IT leader needs to be positioned with other institutional leaders who are making strategic decisions, and that the internal IT structure needs to be a role-based hybrid of centralized and decentralized units. The IT leader needs to understand the mission of the organization and actively use change-management techniques.

On the influence of the exposure model on organ doses

International Nuclear Information System (INIS)

Drexler, G.; Eckerl, H.

1988-01-01

Based on the design characteristics of the MIRD-V phantom, two sex-specific adult phantoms, ADAM and EVA were introduced especially for the calculation of organ doses resulting from external irradiation. Although the body characteristics of all the phantoms are in good agreement with those of the reference man and woman, they have some disadvantages related to the location and shape of organs and the form of the whole body. To overcome these disadvantages related to the location and shape of organs and form of the whole body. To overcome these disadvantages related to the location and shape of organs and the form of the whole body. To overcome these disadvantages and to obtain more realistic phantoms, a technique based on computer tomographic data (voxel-phantom) was developed. This technique allows any physical phantom or real body to be converted into computer files. The improvements are of special importance with regard to the skeleton, because a better modeling of the bone surfaces and separation of hard bone and bone marrow can be achieved. For photon irradiation, the sensitivity of the model on organ doses or the effective dose equivalent is important for operational radiation protection

Information needs analysis principles and practice in information organizations

CERN Document Server

Dorner, Daniel G; Calvert, Philip J

2010-01-01

If you want to provide an information service that truly fulfils your users' needs, this book is essential reading. The book supports practitioners in developing an information needs analysis strategy and offers the necessary professional skills and techniques to do so.

Finite element simulation of interactions between pelvic organs: predictive model of the prostate motion in the context of radiotherapy.

Science.gov (United States)

Boubaker, Mohamed Bader; Haboussi, Mohamed; Ganghoffer, Jean-François; Aletti, Pierre

2009-08-25

The setting up of predictive models of the pelvic organ motion and deformation may prove an efficient tool in the framework of prostate cancer radiotherapy, in order to deliver doses more accurately and efficiently to the clinical target volume (CTV). A finite element (FE) model of the prostate, rectum and bladder motion has been developed, investigating more specifically the influence of the rectum and bladder repletions on the gland motion. The required organ geometries are obtained after processing the computed tomography (CT) images, using specific softwares. Due to their structural characteristics, a 3D shell discretization is adopted for the rectum and the bladder, whereas a volume discretization is adopted for the prostate. As for the mechanical behavior modelling, first order Ogden hyperelastic constitutive laws for both the rectum and bladder are identified. The prostate is comparatively considered as more rigid and is accordingly modelled as an elastic tissue undergoing small strains. A FE model is then created, accounting for boundary and contact conditions, internal and applied loadings being selected as close as possible to available anatomic data. The order of magnitude of the prostate motion predicted by the FE simulations is similar to the measurements done on a deceased person, accounting for the delineation errors, with a relative error around 8%. Differences are essentially due to uncertainties in the constitutive parameters, pointing towards the need for the setting up of direct measurement of the organs mechanical behavior.

Beyond Maslow's culture-bound linear theory: a preliminary statement of the double-Y model of basic human needs.

Science.gov (United States)

Yang, Kuo-Shu

2003-01-01

Maslow's theory of basic human needs is criticized with respect to two of its major aspects, unidimensional linearity and cross-cultural validity. To replace Maslow's linear theory, a revised Y model is proposed on the base of Y. Yu's original Y model. Arranged on the stem of the Y are Maslow's physiological needs (excluding sexual needs) and safety needs. Satisfaction of these needs is indispensable to genetic survival. On the left arm of the Y are interpersonal and belongingness needs, esteem needs, and the self-actualization need. The thoughts and behaviors required for the fulfillment of these needs lead to genetic expression. Lastly, on the right arm of the Y are sexual needs, childbearing needs, and parenting needs. The thoughts and behaviors entailed in the satisfaction of these needs result in genetic transmission. I contend that needs for genetic survival and transmission are universal and that needs for genetic expression are culture-bound. Two major varieties of culture-specific expression needs are distinguished for each of the three levels of needs on the left arm of the Y model. Collectivistic needs for interpersonal affiliation and belongingness, esteem, and self-actualization prevail in collectivist cultures like those found in East Asian countries. Individualistic needs are dominant in individualist cultures like those in North America and certain European nations. I construct two separate Y models, one for people in collectivist cultures and the other for those in individualist ones. In the first (the Yc model), the three levels of expression needs on the left arm are collectivistic in nature, whereas in the second (the Yi model), the three levels of needs on the left arm are individualistic in nature. Various forms of the double-Y model are formulated by conceptually combining the Yc and Yi models at the cross-cultural, crossgroup, and intra-individual levels. Research directions for testing the various aspects of the double-Y model are

On agent cooperation : the relevance of cognitive plausibility for multiagent simulation models of organizations

NARCIS (Netherlands)

van den Broek, J.

2001-01-01

Human organizations and computational multiagent systems both are social systems because they are both made up of a large number of interacting parts. Since human organizations are arrangements of distributed real intelligence, any DAI model is in some sense a model of an organization. This

On agent cooperation : The relevance of cognitive plausibility for multiagent simulation models of organizations

NARCIS (Netherlands)

Broek, J. van den

2001-01-01

Human organizations and computational multiagent systems both are social systems because they are both made up of a large number of interacting parts. Since human organizations are arrangements of distributed real intelligence, any DAI model is in some sense a model of an organization. This

MODELLING CONSUMERS' DEMAND FOR ORGANIC FOOD PRODUCTS: THE SWEDISH EXPERIENCE

Directory of Open Access Journals (Sweden)

Manuchehr Irandoust

2016-07-01

Full Text Available This paper attempts to examine a few factors characterizing consumer preferences and behavior towards organic food products in the south of Sweden using a proportional odds model which captures the natural ordering of dependent variables and any inherent nonlinearities. The findings show that consumer's choice for organic food depends on perceived benefits of organic food (environment, health, and quality and consumer's perception and attitudes towards labelling system, message framing, and local origin. In addition, high willingness to pay and income level will increase the probability to buy organic food, while the cultural differences and socio-demographic characteristics have no effect on consumer behaviour and attitudes towards organic food products. Policy implications are offered.

Knowledge Loss: A Defensive Model In Nuclear Research Organization Memory

International Nuclear Information System (INIS)

Mohamad Safuan Bin Sulaiman; Muhd Noor Muhd Yunus

2013-01-01

Knowledge is an essential part of research based organization. It should be properly managed to ensure that any pitfalls of knowledge retention due to knowledge loss of both tacit and explicit is mitigated. Audit of the knowledge entities exist in the organization is important to identify the size of critical knowledge. It is very much related to how much know-what, know-how and know-why experts exist in the organization. This study conceptually proposed a defensive model for Nuclear Malaysia's organization memory and application of Knowledge Loss Risk Assessment (KLRA) as an important tool for critical knowledge identification. (author)

Changes in erectile organ structure and function in a rat model of chronic prostatitis/chronic pelvic pain syndrome.

Science.gov (United States)

Wang, X-J; Xia, L-L; Xu, T-Y; Zhang, X-H; Zhu, Z-W; Zhang, M-G; Liu, Y; Xu, C; Zhong, S; Shen, Z-J

2016-04-01

There is a growing recognition of the association between chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS) and erectile dysfunction (ED); however, most of the reports are based on questionnaires which cannot distinguish between organic and functional ED. The purpose of this study was to determine the exact relationship between CP/CPPS and ED, and to investigate the changes in erectile organ structure and function in a rat model of CP/CPPS. We established a rat model of experimental autoimmune prostatitis (EAP), which is a valid model for CP/CPPS. Erectile function in EAP and normal rats was comparable after cavernous nerve electrostimulation. The serum testosterone and oestradiol levels, ultrastructure of the corpus cavernosum and expression of endothelial nitric oxide synthase and neuronal nitric oxide synthase in the two groups were similar; however, there was a decrease in smooth muscle-to-collagen ratio and alpha-smooth muscle actin expression and an increase in transforming growth factor-beta 1 expression was observed in EAP rats. Thus, organic ED may not exist in EAP rats. We speculate that ED complained by patients with CP/CPPS may be psychological, which could be caused by impairment in the quality of life; however, further studies are needed to fully understand the potential mechanisms underlying the penile fibrosis in EAP rats. © 2015 Blackwell Verlag GmbH.

[Biomechanical modeling of pelvic organ mobility: towards personalized medicine].

Science.gov (United States)

Cosson, Michel; Rubod, Chrystèle; Vallet, Alexandra; Witz, Jean-François; Brieu, Mathias

2011-11-01

Female pelvic mobility is crucial for urinary, bowel and sexual function and for vaginal delivery. This mobility is ensured by a complex organ suspension system composed of ligaments, fascia and muscles. Impaired pelvic mobility affects one in three women of all ages and can be incapacitating. Surgical management has a high failure rate, largely owing to poor knowledge of the organ support system, including the barely discernible ligamentous system. We propose a 3D digital model of the pelvic cavity based on MRI images and quantitative tools, designed to locate the pelvic ligaments. We thus obtain a coherent anatomical and functional model which can be used to analyze pelvic pathophysiology. This work represents a first step towards creating a tool for localizing and characterizing the source of pelvic imbalance. We examine possible future applications of this model, in terms of personalized therapy and prevention.

DESIGNING A DATA GOVERNANCE MODEL BASED ON SOFT SYSTEM METHODOLOGY (SSM) IN ORGANIZATION

OpenAIRE

Hanung Nindito Prasetyo; Kridanto surendro

2015-01-01

Today, many emerging various models of data governance like DAMA, DGI and the latest is a model from IBM. Model DAMA International is a data governance model designed by industry associations. The model requires the fulfillment of the entire artifact in a matrix that has been determined that too many components that must be built in data governance in an organization. While the data governance model is built from the data DGI consulting organization which requires the development of data gove...

Self-organized Criticality Model for Ocean Internal Waves

International Nuclear Information System (INIS)

Wang Gang; Hou Yijun; Lin Min; Qiao Fangli

2009-01-01

In this paper, we present a simple spring-block model for ocean internal waves based on the self-organized criticality (SOC). The oscillations of the water blocks in the model display power-law behavior with an exponent of -2 in the frequency domain, which is similar to the current and sea water temperature spectra in the actual ocean and the universal Garrett and Munk deep ocean internal wave model [Geophysical Fluid Dynamics 2 (1972) 225; J. Geophys. Res. 80 (1975) 291]. The influence of the ratio of the driving force to the spring coefficient to SOC behaviors in the model is also discussed. (general)

There Is No Simple Model of the Plasma Membrane Organization

Science.gov (United States)

Bernardino de la Serna, Jorge; Schütz, Gerhard J.; Eggeling, Christian; Cebecauer, Marek

2016-01-01

Ever since technologies enabled the characterization of eukaryotic plasma membranes, heterogeneities in the distributions of its constituents were observed. Over the years this led to the proposal of various models describing the plasma membrane organization such as lipid shells, picket-and-fences, lipid rafts, or protein islands, as addressed in numerous publications and reviews. Instead of emphasizing on one model we in this review give a brief overview over current models and highlight how current experimental work in one or the other way do not support the existence of a single overarching model. Instead, we highlight the vast variety of membrane properties and components, their influences and impacts. We believe that highlighting such controversial discoveries will stimulate unbiased research on plasma membrane organization and functionality, leading to a better understanding of this essential cellular structure. PMID:27747212

Applicability of Socio-Technical Model (STM in Working System of Modern Organizations

Directory of Open Access Journals (Sweden)

Rosmaini Tasmin

2011-10-01

Full Text Available Knowledge has been identified as one of the most important resources in organization that contributes to competitive advantages. Organizations around the world realize and put into practice an approach that bases on technological and sociological aspects to fill-up the gaps in their workplaces. The Socio-Technical Model (STM is an established organizational model introduced by Trist since 1960s at Tavistock Institute, London. It relates two most common components exist in all organizations, namely social systems (human and technological systems (information technology, machinery and equipment in organizations over many decades. This paper reviews the socio-technical model from various perspectives of its developmental stages and ideas written by researchers. Therefore, several literature reviews on socio-technical model have been compiled and discussed to justify whether its basic argument matches with required practices in Techno-Social environments. Through a socio-technical perspective on Knowledge Management, this paper highlights the interplay between social systems and technological system. It also suggests that management and leadership play critical roles in establishing the techno-social perspective for the effective assimilation of Knowledge Management practices.

A New Conceptual Model for Understanding International Students' College Needs

Science.gov (United States)

Alfattal, Eyad

2016-01-01

This study concerns the theory and practice of international marketing in higher education with the purpose of exploring a conceptual model for understanding international students' needs in the context of a four-year college in the United States. A transcendental phenomenological design was employed to investigate the essence of international…

Turbulence and Self-Organization Modeling Astrophysical Objects

CERN Document Server

Marov, Mikhail Ya

2013-01-01

This book focuses on the development of continuum models of natural turbulent media. It provides a theoretical approach to the solutions of different problems related to the formation, structure and evolution of astrophysical and geophysical objects. A stochastic modeling approach is used in the mathematical treatment of these problems, which reflects self-organization processes in open dissipative systems. The authors also consider examples of ordering for various objects in space throughout their evolutionary processes. This volume is aimed at graduate students and researchers in the fields of mechanics, astrophysics, geophysics, planetary and space science.

Organics in environmental ices: sources, chemistry, and impacts

Directory of Open Access Journals (Sweden)

V. F. McNeill

2012-10-01

Full Text Available The physical, chemical, and biological processes involving organics in ice in the environment impact a number of atmospheric and biogeochemical cycles. Organic material in snow or ice may be biological in origin, deposited from aerosols or atmospheric gases, or formed chemically in situ. In this manuscript, we review the current state of knowledge regarding the sources, properties, and chemistry of organic materials in environmental ices. Several outstanding questions remain to be resolved and fundamental data gathered before an accurate model of transformations and transport of organic species in the cryosphere will be possible. For example, more information is needed regarding the quantitative impacts of chemical and biological processes, ice morphology, and snow formation on the fate of organic material in cold regions. Interdisciplinary work at the interfaces of chemistry, physics and biology is needed in order to fully characterize the nature and evolution of organics in the cryosphere and predict the effects of climate change on the Earth's carbon cycle.

Self-Organized Patterns Induced by Neimark-Sacker, Flip and Turing Bifurcations in a Discrete Predator-Prey Model with Lesie-Gower Functional Response

Directory of Open Access Journals (Sweden)

Feifan Zhang

2017-06-01

Full Text Available The formation of self-organized patterns in predator-prey models has been a very hot topic recently. The dynamics of these models, bifurcations and pattern formations are so complex that studies are urgently needed. In this research, we transformed a continuous predator-prey model with Lesie-Gower functional response into a discrete model. Fixed points and stability analyses were studied. Around the stable fixed point, bifurcation analyses including: flip, Neimark-Sacker and Turing bifurcation were done and bifurcation conditions were obtained. Based on these bifurcation conditions, parameters values were selected to carry out numerical simulations on pattern formation. The simulation results showed that Neimark-Sacker bifurcation induced spots, spirals and transitional patterns from spots to spirals. Turing bifurcation induced labyrinth patterns and spirals coupled with mosaic patterns, while flip bifurcation induced many irregular complex patterns. Compared with former studies on continuous predator-prey model with Lesie-Gower functional response, our research on the discrete model demonstrated more complex dynamics and varieties of self-organized patterns.

The Applicability of Maslow's Hierarchy of Needs Model to Saudi Organisations

OpenAIRE

Fallatah, Rodwan Hashim Mohammed; Saudi Arabia Ministry of Higher Education

2015-01-01

One of the most influential and often quoted content theories of human motivation is Abraham Maslow’s Hierarchy of Needs. Maslow’s theory is based on an assumption that all humans are motivated by a hierarchy of needs that are fundamental and universal. While many studies have attested to the wide relevance and applicability of this model, some other legitimate studies have argued that the theory is limited in terms of its universal applicability because of its Anglo-Saxon monoculture orienta...

Modeling evolutionary dynamics of epigenetic mutations in hierarchically organized tumors.

Directory of Open Access Journals (Sweden)

Andrea Sottoriva

2011-05-01

Full Text Available The cancer stem cell (CSC concept is a highly debated topic in cancer research. While experimental evidence in favor of the cancer stem cell theory is apparently abundant, the results are often criticized as being difficult to interpret. An important reason for this is that most experimental data that support this model rely on transplantation studies. In this study we use a novel cellular Potts model to elucidate the dynamics of established malignancies that are driven by a small subset of CSCs. Our results demonstrate that epigenetic mutations that occur during mitosis display highly altered dynamics in CSC-driven malignancies compared to a classical, non-hierarchical model of growth. In particular, the heterogeneity observed in CSC-driven tumors is considerably higher. We speculate that this feature could be used in combination with epigenetic (methylation sequencing studies of human malignancies to prove or refute the CSC hypothesis in established tumors without the need for transplantation. Moreover our tumor growth simulations indicate that CSC-driven tumors display evolutionary features that can be considered beneficial during tumor progression. Besides an increased heterogeneity they also exhibit properties that allow the escape of clones from local fitness peaks. This leads to more aggressive phenotypes in the long run and makes the neoplasm more adaptable to stringent selective forces such as cancer treatment. Indeed when therapy is applied the clone landscape of the regrown tumor is more aggressive with respect to the primary tumor, whereas the classical model demonstrated similar patterns before and after therapy. Understanding these often counter-intuitive fundamental properties of (non-hierarchically organized malignancies is a crucial step in validating the CSC concept as well as providing insight into the therapeutical consequences of this model.

Cirrus Susceptibility to Changes in Ice Nuclei: Physical Processes, Model Uncertainties, and Measurement Needs

Science.gov (United States)

Jensen, Eric

2018-01-01

One of the proposed concepts for mitigating the warming effect of increasing greenhouse gases is seeding cirrus cloud with ice nuclei (IN) in order to reduce the lifetime and coverage of cold cirrus that have a net warming impact on the earth's surface. Global model simulations of the net impact of changing upper tropospheric IN have given widely disparate results, partly as a result of poor understanding of ice nucleation processes in the current atmosphere, and partly as a result of poor representation of these processes in global models. Here, we present detailed process-model simulations of tropical tropopause layer (TTL) transport and cirrus formation with ice nuclei properties based on recent laboratory nucleation experiments and field measurements of aerosol composition. The model is used to assess the sensitivity of TTL cirrus occurrence frequency and microphysical properties to the abundance and efficacy of ice nuclei. The simulated cloud properties compared with recent high-altitude aircraft measurements of TTL cirrus and ice supersaturation. We find that abundant effective IN (either from glassy organic aerosols or crystalline ammonium sulfate with concentrations greater than about 100/L) prevent the occurrences of large ice concentration and large ice supersaturations, both of which are clearly indicated by the in situ observations. We find that concentrations of effective ice nuclei larger than about 50/L can drive significant changes in cirrus microphysical properties and occurrence frequency. However, the cloud occurrence frequency can either increase or decrease, depending on the efficacy and abundance of IN added to the TTL. We suggest that our lack of information about ice nuclei properties in the current atmosphere, as well as uncertainties in ice nucleation processes and their representations in global models, preclude meaningful estimates of climate impacts associated with addition of ice nuclei in the upper troposphere. We will briefly discuss

Mathematical modeling of atmospheric fine particle-associated primary organic compound concentrations

Science.gov (United States)

Rogge, Wolfgang F.; Hildemann, Lynn M.; Mazurek, Monica A.; Cass, Glen R.; Simoneit, Bernd R. T.

1996-08-01

An atmospheric transport model has been used to explore the relationship between source emissions and ambient air quality for individual particle phase organic compounds present in primary aerosol source emissions. An inventory of fine particulate organic compound emissions was assembled for the Los Angeles area in the year 1982. Sources characterized included noncatalyst- and catalyst-equipped autos, diesel trucks, paved road dust, tire wear, brake lining dust, meat cooking operations, industrial oil-fired boilers, roofing tar pots, natural gas combustion in residential homes, cigarette smoke, fireplaces burning oak and pine wood, and plant leaf abrasion products. These primary fine particle source emissions were supplied to a computer-based model that simulates atmospheric transport, dispersion, and dry deposition based on the time series of hourly wind observations and mixing depths. Monthly average fine particle organic compound concentrations that would prevail if the primary organic aerosol were transported without chemical reaction were computed for more than 100 organic compounds within an 80 km × 80 km modeling area centered over Los Angeles. The monthly average compound concentrations predicted by the transport model were compared to atmospheric measurements made at monitoring sites within the study area during 1982. The predicted seasonal variation and absolute values of the concentrations of the more stable compounds are found to be in reasonable agreement with the ambient observations. While model predictions for the higher molecular weight polycyclic aromatic hydrocarbons (PAH) are in agreement with ambient observations, lower molecular weight PAH show much higher predicted than measured atmospheric concentrations in the particle phase, indicating atmospheric decay by chemical reactions or evaporation from the particle phase. The atmospheric concentrations of dicarboxylic acids and aromatic polycarboxylic acids greatly exceed the contributions that

Virtuous organization: A structural equation modeling approach

Directory of Open Access Journals (Sweden)

Majid Zamahani

2013-02-01

Full Text Available For years, the idea of virtue was unfavorable among researchers and virtues were traditionally considered as culture-specific, relativistic and they were supposed to be associated with social conservatism, religious or moral dogmatism, and scientific irrelevance. Virtue and virtuousness have been recently considered seriously among organizational researchers. The proposed study of this paper examines the relationships between leadership, organizational culture, human resource, structure and processes, care for community and virtuous organization. Structural equation modeling is employed to investigate the effects of each variable on other components. The data used in this study consists of questionnaire responses from employees in Payam e Noor University in Yazd province. A total of 250 questionnaires were sent out and a total of 211 valid responses were received. Our results have revealed that all the five variables have positive and significant impacts on virtuous organization. Among the five variables, organizational culture has the most direct impact (0.80 and human resource has the most total impact (0.844 on virtuous organization.

Linking Earth Observations and Models to Societal Information Needs: The Case of Coastal Flooding

Science.gov (United States)

Buzzanga, B. A.; Plag, H. P.

2016-12-01

Coastal flooding is expected to increase in many areas due to sea level rise (SLR). Many societal applications such as emergency planning and designing public services depend on information on how the flooding spectrum may change as a result of SLR. To identify the societal information needs a conceptual model is needed that identifies the key stakeholders, applications, and information and observation needs. In the context of the development of the Global Earth Observation System of Systems (GEOSS), which is implemented by the Group on Earth Observations (GEO), the Socio-Economic and Environmental Information Needs Knowledge Base (SEE-IN KB) is developed as part of the GEOSS Knowledge Base. A core function of the SEE-IN KB is to facilitate the linkage of societal information needs to observations, models, information and knowledge. To achieve this, the SEE-IN KB collects information on objects such as user types, observational requirements, societal goals, models, and datasets. Comprehensive information concerning the interconnections between instances of these objects is used to capture the connectivity and to establish a conceptual model as a network of networks. The captured connectivity can be used in searches to allow users to discover products and services for their information needs, and providers to search for users and applications benefiting from their products. It also allows to answer "What if?" questions and supports knowledge creation. We have used the SEE-IN KB to develop a conceptual model capturing the stakeholders in coastal flooding and their information needs, and to link these elements to objects. We show how the knowledge base enables the transition of scientific data to useable information by connecting individuals such as city managers to flood maps. Within the knowledge base, these same users can request information that improves their ability to make specific planning decisions. These needs are linked to entities within research

76 FR 34712 - Medicare Program; Pioneer Accountable Care Organization Model; Extension of the Submission...

Science.gov (United States)

2011-06-14

... stakeholders to develop initiatives to test innovative payment and service delivery models to reduce program...] Medicare Program; Pioneer Accountable Care Organization Model; Extension of the Submission Deadlines for... of the Pioneer Accountable Care Organization Model letters of intent to June 30, 2011 and the...

Learning to Do Diversity Work: A Model for Continued Education of Program Organizers

Science.gov (United States)

Dounas-Frazer, Dimitri R.; Hyater-Adams, Simone A.; Reinholz, Daniel L.

2017-09-01

Physics and physics education in the United States suffer from severe (and, in some cases, worsening) underrepresentation of Black, Latinx, and Native American people of all genders and women of all races and ethnicities. In this paper, we describe an approach to facilitating physics students' collective and continued education about such underrepresentation; its connections to racism, sexism, and other dimensions of marginalization; and models of allyship that may bring about social change within physics. Specifically, we focus on the efforts of undergraduate students, graduate students, and postdocs who are members of a student-run diversity-oriented organization in the physics department at the University of Colorado Boulder (CU), a large, selective, predominantly White public university with high research activity. This group's education was accomplished through quarterly Diversity Workshops. Here we report on six Diversity Workshops that were co-designed and facilitated by the authors. We describe the context, motivation, and goals of the workshops, the theories underlying their design and implementation, and their content. In addition, we discuss workshop attendance and suggest strategies for maintaining high attendance in the future. Because the details of our workshops were tailored to the specific needs and interests of a particular student organization, our workshop agendas may not be widely applicable beyond our local context. Nevertheless, our model, design principles, and facilitation strategies may be transferable to other contexts and provide inspiration to other diversity-oriented student groups.

Forecasting the need for medical specialists in Spain: application of a system dynamics model

Science.gov (United States)

2010-01-01

Background Spain has gone from a surplus to a shortage of medical doctors in very few years. Medium and long-term planning for health professionals has become a high priority for health authorities. Methods We created a supply and demand/need simulation model for 43 medical specialties using system dynamics. The model includes demographic, education and labour market variables. Several scenarios were defined. Variables controllable by health planners can be set as parameters to simulate different scenarios. The model calculates the supply and the deficit or surplus. Experts set the ratio of specialists needed per 1000 inhabitants with a Delphi method. Results In the scenario of the baseline model with moderate population growth, the deficit of medical specialists will grow from 2% at present (2800 specialists) to 14.3% in 2025 (almost 21 000). The specialties with the greatest medium-term shortages are Anesthesiology, Orthopedic and Traumatic Surgery, Pediatric Surgery, Plastic Aesthetic and Reparatory Surgery, Family and Community Medicine, Pediatrics, Radiology, and Urology. Conclusions The model suggests the need to increase the number of students admitted to medical school. Training itineraries should be redesigned to facilitate mobility among specialties. In the meantime, the need to make more flexible the supply in the short term is being filled by the immigration of physicians from new members of the European Union and from Latin America. PMID:21034458

Modeling cadmium in the feed chain and cattle organs

OpenAIRE

Fels-Klerx, van der, H.J.; Romkens, P.F.A.M.; Franz, E.; Raamsdonk, van, L.W.D.

2011-01-01

The objectives of this study were to estimate cadmium contamination levels in different scenarios related to soil characteristics and assumptions regarding cadmium accumulation in the animal tissues, using quantitative supply chain modeling. The model takes into account soil cadmium levels, soil pH, soil-to-plant transfer, animal consumption patterns, and transfer into animal organs (liver and kidneys). The model was applied to cattle up to the age of six years which were fed roughage (maize ...

On the need for data for the verification of service life models for frost damage

DEFF Research Database (Denmark)

Geiker, Mette Rica; Engelund, Sven

1999-01-01

The purpose of this paper is to draw the attention to the need for the verification of service life models for frost attack on concrete and the collection of relevant data. To illustrate the type of data needed the paper presents models for internal freeze/thaw damage (internal cracking including...

Special Needs Adoption and Foster Exigencies (SAFE: A Model for Case Managers

Directory of Open Access Journals (Sweden)

Kristen Linton

2014-05-01

Full Text Available Children with special needs disproportionately receive child welfare services in out-of-home placements, such as foster and adoptive homes. This theoretical model has been developed to describe or explain exigencies of adoptive and foster families of children with special needs (n = 82. A web content analysis, including theme, feature, link, exchange, and language analyses, of online discussion forums of adoptive and foster parents of children with special needs using a phenomenological framework was conducted. Inductive and quantitative web content analyses were conducted on themes. Parenting concerns were clustered into two main themes, disability and placement issues, and focused on children’s pre and post placement needs. A phenomenological analysis resulted in the development of the Special Needs Adoption and Foster Exigencies (SAFE, which outlines exigencies of adoptive and foster parents of children with special needs during engagement, assessment, and intervention phases of case management.

Spatial arrangement of organic compounds on a model mineral surface: implications for soil organic matter stabilization.

Science.gov (United States)

Petridis, Loukas; Ambaye, Haile; Jagadamma, Sindhu; Kilbey, S Michael; Lokitz, Bradley S; Lauter, Valeria; Mayes, Melanie A

2014-01-01

The complexity of the mineral-organic carbon interface may influence the extent of stabilization of organic carbon compounds in soils, which is important for global climate futures. The nanoscale structure of a model interface was examined here by depositing films of organic carbon compounds of contrasting chemical character, hydrophilic glucose and amphiphilic stearic acid, onto a soil mineral analogue (Al2O3). Neutron reflectometry, a technique which provides depth-sensitive insight into the organization of the thin films, indicates that glucose molecules reside in a layer between Al2O3 and stearic acid, a result that was verified by water contact angle measurements. Molecular dynamics simulations reveal the thermodynamic driving force behind glucose partitioning on the mineral interface: The entropic penalty of confining the less mobile glucose on the mineral surface is lower than for stearic acid. The fundamental information obtained here helps rationalize how complex arrangements of organic carbon on soil mineral surfaces may arise.

Training Needs Assessment for Leaders in Nursing Based on Comparison of Competency Models

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Kvas Andreja

2014-02-01

Full Text Available Background and Purpose: The main purpose behind the formation of leadership competency models must be the improvement of leadership. A competency model should serve as one of the tools for selecting the most suitable leaders, appraising their work, assessing training needs and preparing programmes of functional and formal education. The objective of this research is to assess the training needs of leaders in health care. A comparison of leadership competency models between different professional groups should serve as one of the tools with which to assess the training needs of various levels of leaders. Design/Methodology/Approach: A descriptive study using a survey design was conducted on 141 nurse leaders in Slovenia. Respondents indicated to what extent each of 95 different behaviours was characteristic of a person at their leadership level. Results: The most important competence dimensions (groups of behaviours for leaders in health care are (1 at the first - top leadership level: strategic thinking, openness to change and responsibility; (2 for leaders at the second - middle leadership level: relations with co-workers, animation, resistance to stress; and (3 for leaders at the third leadership level: realisation skills, execution of procedures, communication. Training needs assessments were done for three leadership levels in nursing care. Conclusions: The greatest need for training of nurse leaders can be observed at the third leadership level. Special training programmes should be organised in the competency areas of realisation skills, execution of procedures, communication, education and ethics

Analisis Tingkat Motivasi Siswa Dalam Pembelajaran IPA Model Advance Organizer Berbasis Proyek

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Tasiwan -

2014-04-01

Full Text Available atur kemajuan (advance organizer berbasis proyek. Sampel penelitian dipilih secara acak. Pada kelas  eksperimen diterapkan model pembelajaran advance organizer berbasis proyek sedangkan pada kelas kontrol diterapkan pembelajaran langsung (direct instruction tanpa advance organizer. Sebelum pembelajaran di kelas, siswa eksperimen dikelompokkan menjadi 8 kelompok yang terdiri atas 4 – 5 siswa. Setiap kelompok ditugaskan untuk merealisasikan proyek bel listrik, rangkaian arus seri – paralel, dan tuas. Produk proyek digunakan dalam pembelajaran dikelas sebagai advance organizer. Data diperoleh melalui observasi partisipatif, penilaian produk, peta konsep, laporan eksperimen, dan angket. Instrumen motivasi menggunakan skala motivasi ARCS. Hasil penelitian menunjukkan bahwa kelas eksperimen memiliki tingkat motivasi lebih baik dalam aspek perhatian, relevansi, kepercayaan diri, dan kepuasan pembelajaran dengan rata – rata tingkat motivasi sebesar 77,20, sedangkan tanpa advance organizer berbasis proyek sebesar 71,10. Disarankan siswa diberikan kemandirian penuh dalam proyek. This study was conducted to analyze the level of student motivation in learning science through models of advance organizer  based project . Samples were selected at random . In the experimental class advance organizer applied learning model based on a class project while learning control direct instruction without advance organizer . Prior learning in the classroom , students are grouped into 8 experimental groups consisting of 4-5 students . Each group was assigned a project to realize an electric bell , the circuit current series - parallel , and lever . Products used in a learning class project as advance organizer . The data obtained through participant observation , assessment product , concept maps , experimental reports , and questionnaires . Motivation instrument using ARCS motivation scale . Results showed that the experimental class had better motivation level

Accounting for microbial habitats in modeling soil organic matter dynamics

Science.gov (United States)

Chenu, Claire; Garnier, Patricia; Nunan, Naoise; Pot, Valérie; Raynaud, Xavier; Vieublé, Laure; Otten, Wilfred; Falconer, Ruth; Monga, Olivier

2017-04-01

The extreme heterogeneity of soils constituents, architecture and inhabitants at the microscopic scale is increasingly recognized. Microbial communities exist and are active in a complex 3-D physical framework of mineral and organic particles defining pores of various sizes, more or less inter-connected. This results in a frequent spatial disconnection between soil carbon, energy sources and the decomposer organisms and a variety of microhabitats that are more or less suitable for microbial growth and activity. However, current biogeochemical models account for C dynamics at the macroscale (cm, m) and consider time- and spatially averaged relationships between microbial activity and soil characteristics. Different modelling approaches have intended to account for this microscale heterogeneity, based either on considering aggregates as surrogates for microbial habitats, or pores. Innovative modelling approaches are based on an explicit representation of soil structure at the fine scale, i.e. at µm to mm scales: pore architecture and their saturation with water, localization of organic resources and of microorganisms. Three recent models are presented here, that describe the heterotrophic activity of either bacteria or fungi and are based upon different strategies to represent the complex soil pore system (Mosaic, LBios and µFun). These models allow to hierarchize factors of microbial activity in soil's heterogeneous architecture. Present limits of these approaches and challenges are presented, regarding the extensive information required on soils at the microscale and to up-scale microbial functioning from the pore to the core scale.

Destination Marketing Organizations and Climate Change—The Need for Leadership and Education

Directory of Open Access Journals (Sweden)

Rachel Dodds

2010-11-01

Full Text Available Destination Marketing Organizations (DMOs operate at many levels ranging from the national to the municipal and have evolved over the years to respond to the geographical and political realities that are associated with tourism supply. Alongside providing information to potential visitors, DMOs work to make a destination attractive by showcasing its unique aspects and attractions. As the appeal of destinations, cost of doing business and the destination brand may be affected by the possible effects of climate change, this study aims to identify opportunities and threats to municipal and provincial/territorial DMOs and their members as well as identify measures they are undertaking to address the potential impacts. A study conducted of Canada’s provincial and municipal large DMOs was conducted in 2009. This research found that awareness of climate change in Canada’s tourism industry is increasing, but more efforts must be undertaken to mitigate climate change. To address climate change and tourism, this paper suggests doing three things: (a DMOs need to demonstrate leadership about climate change education and mitigation to all their members; (b government policy and action are needed to provide incentives for industry to address climate change; and (c industry members require further education to take the steps necessary mitigate risk and to adapt. The internet has changed the DMOs’ roles and how they provide information to the consumer; as such, they have been presented with an opportunity to take on new roles as educational and marketing providers. This paper will outline in the current shifts among Canadian DMOs and will discuss the key issues that are applicable to DMOs worldwide.

Organ mass measurements

International Nuclear Information System (INIS)

Kawamura, H.

1998-01-01

The term, anatomical measurements, in the context of this Co-ordinated Research Programme refers to measurements of masses of internal organs, although the human body is composed of internal organs and tissues such as skeleton, muscle, skin and adipose. The mass of an organ containing a radionuclide (source organ), and the mass of a target organ which absorbs energy of the radiation, are essential parameters in the ICRP dosimetric model derived from the MIRD method. Twelve specific organs of interest were proposed at the Coordinated Research Programme Project Formulation Meeting (PFM) in 1988. A slightly different set of thirteen organs with potential significance for radiation protection were selected for study at the Research Co-ordination Meeting held at the Bhabha Atomic Research Centre in 1991. The dimensions of the organs could also be useful information, but were considered unimportant for internal dose assessment. Due to the strong concern about the unified method for collecting organ mass data at the PFM, a guide-line was established stressing the need for organ data from subjects that were healthy and normal, at least until shortly before death, or from sudden death cases, following the Japanese experience. In this report, masses of nine to thirteen organs are presented from seven participating countries. Three participants have also reported the organ masses as fractions of the total body mass

Governance in Health - The Need for Exchange and Evidence Comment on "Governance, Government, and the Search for New Provider Models".

Science.gov (United States)

Chanturidze, Tata; Obermann, Konrad

2016-05-17

Governance in health is cited as one of the key factors in balancing the concerns of the government and public sector with the interests of civil society/private players, but often remains poorly described and operationalized. Richard Saltman and Antonio Duran look at two aspects in the search for new provider models in a context of health markets signalling liberalisation: (i) the role of the government to balance public and private interests and responsibilities in delivering care through modernised governance arrangements, and (ii) the finding that operational complexities may hinder well-designed provider governance models, unless governance reflects country-specific realities. This commentary builds on the discussion by Saltman and Duran, and argues that the concept of governance needs to be clearly defined and operationalized in order to be helpful for policy debate as well as for the development of an applicable framework for performance improvement. It provides a working definition of governance and includes a reflection on the prevailing cultural norms in an organization or society upon which any governance needs to be build. It proposes to explore whether the "evidence-based governance" concept can be introduced to generate knowledge about innovative and effective governance models, and concludes that studies similar to the one by Saltman and Duran can inform this debate. © 2016 by Kerman University of Medical Sciences.

Position-specific isotope modeling of organic micropollutants transformation through different reaction pathways

International Nuclear Information System (INIS)

Jin, Biao; Rolle, Massimo

2016-01-01

The degradation of organic micropollutants occurs via different reaction pathways. Compound specific isotope analysis is a valuable tool to identify such degradation pathways in different environmental systems. We propose a mechanism-based modeling approach that provides a quantitative framework to simultaneously evaluate concentration as well as bulk and position-specific multi-element isotope evolution during the transformation of organic micropollutants. The model explicitly simulates position-specific isotopologues for those atoms that experience isotope effects and, thereby, provides a mechanistic description of isotope fractionation occurring at different molecular positions. To demonstrate specific features of the modeling approach, we simulated the degradation of three selected organic micropollutants: dichlorobenzamide (BAM), isoproturon (IPU) and diclofenac (DCF). The model accurately reproduces the multi-element isotope data observed in previous experimental studies. Furthermore, it precisely captures the dual element isotope trends characteristic of different reaction pathways as well as their range of variation consistent with observed bulk isotope fractionation. It was also possible to directly validate the model capability to predict the evolution of position-specific isotope ratios with available experimental data. Therefore, the approach is useful both for a mechanism-based evaluation of experimental results and as a tool to explore transformation pathways in scenarios for which position-specific isotope data are not yet available. - Highlights: • Mechanism-based, position-specific isotope modeling of micropollutants degradation. • Simultaneous description of concentration and primary and secondary isotope effects. • Key features of the model are demonstrated with three illustrative examples. • Model as a tool to explore reaction mechanisms and to design experiments. - We propose a modeling approach incorporating mechanistic information and

A Data-Driven, Integrated Flare Model Based on Self-Organized Criticality

Science.gov (United States)

Dimitropoulou, M.; Isliker, H.; Vlahos, L.; Georgoulis, M.

2013-09-01

We interpret solar flares as events originating in solar active regions having reached the self-organized critical state, by alternatively using two versions of an "integrated flare model" - one static and one dynamic. In both versions the initial conditions are derived from observations aiming to investigate whether well-known scaling laws observed in the distribution functions of characteristic flare parameters are reproduced after the self-organized critical state has been reached. In the static model, we first apply a nonlinear force-free extrapolation that reconstructs the three-dimensional magnetic fields from two-dimensional vector magnetograms. We then locate magnetic discontinuities exceeding a threshold in the Laplacian of the magnetic field. These discontinuities are relaxed in local diffusion events, implemented in the form of cellular-automaton evolution rules. Subsequent loading and relaxation steps lead the system to self-organized criticality, after which the statistical properties of the simulated events are examined. In the dynamic version we deploy an enhanced driving mechanism, which utilizes the observed evolution of active regions, making use of sequential vector magnetograms. We first apply the static cellular automaton model to consecutive solar vector magnetograms until the self-organized critical state is reached. We then evolve the magnetic field inbetween these processed snapshots through spline interpolation, acting as a natural driver in the dynamic model. The identification of magnetically unstable sites as well as their relaxation follow the same rules as in the static model after each interpolation step. Subsequent interpolation/driving and relaxation steps cover all transitions until the end of the sequence. Physical requirements, such as the divergence-free condition for the magnetic field vector, are approximately satisfied in both versions of the model. We obtain robust power laws in the distribution functions of the modelled

SOMPROF: A vertically explicit soil organic matter model

NARCIS (Netherlands)

Braakhekke, M.C.; Beer, M.; Hoosbeek, M.R.; Kruijt, B.; Kabat, P.

2011-01-01

Most current soil organic matter (SOM) models represent the soil as a bulk without specification of the vertical distribution of SOM in the soil profile. However, the vertical SOM profile may be of great importance for soil carbon cycling, both on short (hours to years) time scale, due to

Nitrate radicals and biogenic volatile organic compounds: oxidation, mechanisms, and organic aerosol

Energy Technology Data Exchange (ETDEWEB)

Ng, Nga Lee; Brown, Steven S.; Archibald, Alexander T.; Atlas, Elliot; Cohen, Ronald C.; Crowley, John N.; Day, Douglas A.; Donahue, Neil M.; Fry, Juliane L.; Fuchs, Hendrik; Griffin, Robert J.; Guzman, Marcelo I.; Herrmann, Hartmut; Hodzic, Alma; Iinuma, Yoshiteru; Jimenez, José L.; Kiendler-Scharr, Astrid; Lee, Ben H.; Luecken, Deborah J.; Mao, Jingqiu; McLaren, Robert; Mutzel, Anke; Osthoff, Hans D.; Ouyang, Bin; Picquet-Varrault, Benedicte; Platt, Ulrich; Pye, Havala O. T.; Rudich, Yinon; Schwantes, Rebecca H.; Shiraiwa, Manabu; Stutz, Jochen; Thornton, Joel A.; Tilgner, Andreas; Williams, Brent J.; Zaveri, Rahul A.

2017-01-01

Oxidation of biogenic volatile organic compounds (BVOC) by the nitrate radical (NO₃) represents one of the important interactions between anthropogenic emissions related to combustion and natural emissions from the biosphere. This interaction has been recognized for more than 3 decades, during which time a large body of research has emerged from laboratory, field, and modeling studies. NO₃-BVOC reactions influence air quality, climate and visibility through regional and global budgets for reactive nitrogen (particularly organic nitrates), ozone, and organic aerosol. Despite its long history of research and the significance of this topic in atmospheric chemistry, a number of important uncertainties remain. These include an incomplete understanding of the rates, mechanisms, and organic aerosol yields for NO₃-BVOC reactions, lack of constraints on the role of heterogeneous oxidative processes associated with the NO₃ radical, the difficulty of characterizing the spatial distributions of BVOC and NO₃ within the poorly mixed nocturnal atmosphere, and the challenge of constructing appropriate boundary layer schemes and non-photochemical mechanisms for use in state-of-the-art chemical transport and chemistry–climate models.

This review is the result of a workshop of the same title held at the Georgia Institute of Technology in June 2015. The first half of the review summarizes the current literature on NO₃-BVOC chemistry, with a particular focus on recent advances in instrumentation and models, and in organic nitrate and secondary organic aerosol (SOA) formation chemistry. Building on this current understanding, the second half of the review outlines impacts of NO₃-BVOC chemistry on air quality and climate, and suggests critical research needs to better constrain this interaction to improve the predictive capabilities of atmospheric models.

Conceptual hierarchical modeling to describe wetland plant community organization

Science.gov (United States)

Little, A.M.; Guntenspergen, G.R.; Allen, T.F.H.

2010-01-01

Using multivariate analysis, we created a hierarchical modeling process that describes how differently-scaled environmental factors interact to affect wetland-scale plant community organization in a system of small, isolated wetlands on Mount Desert Island, Maine. We followed the procedure: 1) delineate wetland groups using cluster analysis, 2) identify differently scaled environmental gradients using non-metric multidimensional scaling, 3) order gradient hierarchical levels according to spatiotem-poral scale of fluctuation, and 4) assemble hierarchical model using group relationships with ordination axes and post-hoc tests of environmental differences. Using this process, we determined 1) large wetland size and poor surface water chemistry led to the development of shrub fen wetland vegetation, 2) Sphagnum and water chemistry differences affected fen vs. marsh / sedge meadows status within small wetlands, and 3) small-scale hydrologic differences explained transitions between forested vs. non-forested and marsh vs. sedge meadow vegetation. This hierarchical modeling process can help explain how upper level contextual processes constrain biotic community response to lower-level environmental changes. It creates models with more nuanced spatiotemporal complexity than classification and regression tree procedures. Using this process, wetland scientists will be able to generate more generalizable theories of plant community organization, and useful management models. ?? Society of Wetland Scientists 2009.

Modelling the self-organization and collapse of complex networks

Indian Academy of Sciences (India)

Modelling the self-organization and collapse of complex networks. Sanjay Jain Department of Physics and Astrophysics, University of Delhi Jawaharlal Nehru Centre for Advanced Scientific Research, Bangalore Santa Fe Institute, Santa Fe, New Mexico.

Modelization of tritium transfer into the organic compartments of algae

International Nuclear Information System (INIS)

Bonotto, S.; Gerber, G.B.; Arapis, G.; Kirchmann, R.

1982-01-01

Uptake of tritium oxide and its conversion into organic tritium was studied in four different types of algae with widely varying size and growth characteristics (Acetabularia acetabulum, Boergesenia forbesii, two strains of Chlamydomonas and Dunaliella bioculata). Water in the cell and the vacuales equilibrates rapidly with external tritium water. Tritium is actively incorporated into organically bound form as the organisms grow. During the stationary phase, incorporation of tritium is slow. There exists a discrimination against the incorporation of tritium into organically bound form. A model has been elaborated taking in account these different factors. It appears that transfer of organic tritium by algae growing near the sites of release would be significant only for actively growing algae. Algae growing slowly may, however, be useful as cumulative indicators of discontinuous tritium release. (author)

Estimating adolescent sleep need using dose-response modeling.

Science.gov (United States)

Short, Michelle A; Weber, Nathan; Reynolds, Chelsea; Coussens, Scott; Carskadon, Mary A

2018-04-01

This study will (1) estimate the nightly sleep need of human adolescents, (2) determine the time course and severity of sleep-related deficits when sleep is reduced below this optimal quantity, and (3) determine whether sleep restriction perturbs the circadian system as well as the sleep homeostat. Thirty-four adolescents aged 15 to 17 years spent 10 days and nine nights in the sleep laboratory. Between two baseline nights and two recovery nights with 10 hours' time in bed (TIB) per night, participants experienced either severe sleep restriction (5-hour TIB), moderate sleep restriction (7.5-hour TIB), or no sleep restriction (10-hour TIB) for five nights. A 10-minute psychomotor vigilance task (PVT; lapse = response after 500 ms) and the Karolinska Sleepiness Scale were administered every 3 hours during wake. Salivary dim-light melatonin onset was calculated at baseline and after four nights of each sleep dose to estimate circadian phase. Dose-dependent deficits to sleep duration, circadian phase timing, lapses of attention, and subjective sleepiness occurred. Less TIB resulted in less sleep, more lapses of attention, greater subjective sleepiness, and larger circadian phase delays. Sleep need estimated from 10-hour TIB sleep opportunities was approximately 9 hours, while modeling PVT lapse data suggested that 9.35 hours of sleep is needed to maintain optimal sustained attention performance. Sleep restriction perturbs homeostatic and circadian systems, leading to dose-dependent deficits to sustained attention and sleepiness. Adolescents require more sleep for optimal functioning than typically obtained.

Simulation of Organic Matter and Pollutant Evolution during Composting: The COP-Compost Model.

Science.gov (United States)

Lashermes, G; Zhang, Y; Houot, S; Steyer, J P; Patureau, D; Barriuso, E; Garnier, P

2013-01-01

Organic pollutants (OPs) are potentially present in composts and the assessment of their content and bioaccessibility in these composts is of paramount importance. In this work, we proposed a model to simulate the behavior of OPs and the dynamic of organic C during composting. This model, named COP-Compost, includes two modules. An existing organic C module is based on the biochemical composition of the initial waste mixture and simulates the organic matter transformation during composting. An additional OP module simulates OP mineralization and the evolution of its bioaccessibility. Coupling hypotheses were proposed to describe the interactions between organic C and OP modules. The organic C module, evaluated using experimental data obtained from 4-L composting pilots, was independently tested. The COP-Compost model was evaluated during composting experiments containing four OPs representative of the major pollutants detected in compost and targeted by current and future regulations. These OPs included a polycyclic aromatic hydrocarbon (fluoranthene), two surfactants (4--nonylphenol and a linear alkylbenzene sulfonate), and an herbicide (glyphosate). Residues of C-labeled OP with different bioaccessibility were characterized by sequential extraction and quantified as soluble, sorbed, and nonextractable fractions. The model was calibrated and coupling the organic C and OP modules improved the simulation of the OP behavior and bioaccessibility during composting. Copyright © by the American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America, Inc.

Modeling soil organic carbon stocks and changes in Spain using the GEFSOC system

Science.gov (United States)

Álvaro-Fuentes, Jorge; Easter, Mark; Cantero-Martínez, Carlos; Paustian, Keith

2010-05-01

Currently, there is little information about soil organic carbon (SOC) stocks in Spain. To date the effects of land-use and soil management on SOC stocks in Spain have been evaluated in experimental fields under certain soil and climate conditions. However, these field experiments do not account for the spatial variability in management, cropping systems and soil and climate characteristics that exist in the whole territory. More realistic approaches like ecosystem-level dynamic simulation systems linked to geographic information systems (GIS) allow better assessments of SOC stocks at a regional or national level. The Global Environmental Facility Soil Organic Carbon (GEFSOC) system was recently built for this purpose (Milne et al., 2007) and it incorporates three widely used models for estimating SOC dynamics: (a) the Century ecosystem model; (b) the RothC soil C decomposition model; and (c) the Intergovernmental Panel on Climate Change (IPCC) method for assessing soil C at regional scales. We modeled 9.5 Mha in northeast Spain using the GEFSOC system to predict SOC stocks and changes comprising: pasture, forest, cereal-fallow, cereal monoculture, orchards, rice, irrigated land and grapes and olives. The spatial distribution of the different land use categories and their change over time was obtained from the European Corine database and from Spanish census data on land use from 1926 to 2007. At the same time, current and historical management information was collected from different sources in order to have a fairly well picture of changes in land use and management for this area. Soil parameters needed by the system were obtained from the European soil map (1 km x 1 km) and climate data was produced by the Meteorology State Agency (Ministry of the Environment and Rural and Marine Environs of Spain). The SOC stocks simulated were validated with SOC values from the European SOC map and from other national studies. Modeled SOC results suggested that spatial

Molecular analysis of the replication program in unicellular model organisms.

Science.gov (United States)

Raghuraman, M K; Brewer, Bonita J

2010-01-01

Eukaryotes have long been reported to show temporal programs of replication, different portions of the genome being replicated at different times in S phase, with the added possibility of developmentally regulated changes in this pattern depending on species and cell type. Unicellular model organisms, primarily the budding yeast Saccharomyces cerevisiae, have been central to our current understanding of the mechanisms underlying the regulation of replication origins and the temporal program of replication in particular. But what exactly is a temporal program of replication, and how might it arise? In this article, we explore this question, drawing again on the wealth of experimental information in unicellular model organisms.

Presenting a comprehensive market oriented model and evaluating its impact on organization performance

Directory of Open Access Journals (Sweden)

Mohammad Taqi Amini

2013-08-01

Full Text Available Like other innovative strategies, companies have paid more attention to market oriented strategies in recent years. This has been focused by organizations for improved effectiveness and the organization performance accelerated a lot in business competition. In responding to this fact, organizations are trying to formulate many of the issues familiar to large organizations, which have involved with market oriented strategy planning. This paper reviews key elements in market-oriented strategy planning with regard to competitiveness and performance in large organizations and outlines a comprehensive model for strategy planning in profit organizations. These elements include environment, top management, organization structure and market oriented strategy. Professional question of this study has a particularly important role in formulating relations of this model. These elements are well positioned to evaluate the impact of market-oriented strategy planning on organizations and their expected impacts on organization performance. A well-organized questionnaire to help organizations with their planning is proposed in this survey. Based on the proposed questionnaire, data obtained from Tehran food industry experts and analyzed by using SEM method. Results accepted eight hypotheses and rejected one.

Modeling of secondary organic aerosol yields from laboratory chamber data

Directory of Open Access Journals (Sweden)

M. N. Chan

2009-08-01

Full Text Available Laboratory chamber data serve as the basis for constraining models of secondary organic aerosol (SOA formation. Current models fall into three categories: empirical two-product (Odum, product-specific, and volatility basis set. The product-specific and volatility basis set models are applied here to represent laboratory data on the ozonolysis of α-pinene under dry, dark, and low-NO_x conditions in the presence of ammonium sulfate seed aerosol. Using five major identified products, the model is fit to the chamber data. From the optimal fitting, SOA oxygen-to-carbon (O/C and hydrogen-to-carbon (H/C ratios are modeled. The discrepancy between measured H/C ratios and those based on the oxidation products used in the model fitting suggests the potential importance of particle-phase reactions. Data fitting is also carried out using the volatility basis set, wherein oxidation products are parsed into volatility bins. The product-specific model is most likely hindered by lack of explicit inclusion of particle-phase accretion compounds. While prospects for identification of the majority of SOA products for major volatile organic compounds (VOCs classes remain promising, for the near future empirical product or volatility basis set models remain the approaches of choice.

Dubinin-Astakhov model for acetylene adsorption on metal-organic frameworks

International Nuclear Information System (INIS)

Cheng, Peifu; Hu, Yun Hang

2016-01-01

Graphical abstract: It was demonstrated that Dubinin-Astakhov equation can be exploited as a general isotherm model for C2H2 adsorption on metal-organic frameworks (MOFs), including MOF-5, ZIF-8, HKUST-1, and MIL-53. - Highlights: • Dubinin-Astakhov equation is demonstrated to be a general model for C_2H_2 adsorption on metal-organic frameworks (MOFs). • Surface areas obtained with Dubinin-Astakhov equation from C_2H_2 adsorption on MOFs are consistent with BET surface areas from N_2 adsorption. • C_2H_2 on MOF-5, ZIF-8, and MIL-53 is a physical adsorption, whereas its adsorption on HKUST-1 is due to a chemical bonding. - Abstract: Acetylene (C_2H_2) is explosive at a pressure above 29 psi, causing a safety issue for its storage and applications. C_2H_2 adsorption on metal-organic frameworks (MOFs) has been explored to solve the issue. However, a suitable isotherm equation for C_2H_2 adsorption on various MOFs has not been found. In this paper, it was demonstrated that Dubinin-Astakhov equation can be exploited as a general isotherm model to depict C_2H_2 adsorption on MOF-5, ZIF-8, HKUST-1, and MIL-53. In contrast, commonly used Langmuir and BET models exhibited their inapplicability for C_2H_2 adsorption on those MOFs.

Modelling energy level alignment at organic interfaces and density functional theory

DEFF Research Database (Denmark)

Flores, F.; Ortega, J.; Vazquez, Patricia

2009-01-01

A review of our theoretical understanding of the band alignment at organic interfaces is presented with particular emphasis on the metal/organic (MO) case. The unified IDIS (induced density of interface states) and the ICT (integer charge transfer) models are reviewed and shown to describe qualit...

An organizing model for recent cognitive science work on the self.

Science.gov (United States)

Pageler, Ben

2016-10-01

An organizing model of 'the self' emerges from applying various kinds of brain injury to recent cognitive science and philosophical work on 'the self'. This model unifies various contents and mechanisms central to current notions of the self. The article then highlights several criteria and aspects of this notion of self. Qualities of the right type and level of psychological significance delineate 'the self' as an organizing concept useful for recent philosophical work and cognitive science research. Copyright © 2016 Elsevier Inc. All rights reserved.

Oxygen diffusion in soils: Understanding the factors and processes needed for modeling

Directory of Open Access Journals (Sweden)

José Neira

2015-08-01

Full Text Available Oxygen is an important element for plant growth. Reducing its concentration in the soil affects plant physiological processes such as nutrient and water uptake as well as respiration, the redox potential of soil elements and the activity of microorganisms. The main mechanism of oxygen transport in the soil is by diffusion, a dynamic process greatly influenced by soil physical properties such as texture and structure, conditioning, pore size distribution, tortuosity and connectivity. Organic matter is a modifying agent of the soil's chemical and physical properties, affecting its structure and the porous matrix, which are determinants of oxygen transport. This study reviews the theory of soil gas diffusion and the effect of soil organic matter on the soil's physical properties and transport of gases. It also reviews gas diffusion models, particularly those including the effect of soil organic matter.

[Incorporation of an organic MAGIC (Model of Acidification of Groundwater in Catchments) and testing of the revised model using independent data sources]. [MAGIC Model

Energy Technology Data Exchange (ETDEWEB)

Sullivan, T.J.

1992-09-01

A project was initiated in March, 1992 to (1) incorporate a rigorous organic acid representation, based on empirical data and geochemical considerations, into the MAGIC model of acidification response, and (2) test the revised model using three sets of independent data. After six months of performance, the project is on schedule and the majority of the tasks outlined for Year 1 have been successfully completed. Major accomplishments to data include development of the organic acid modeling approach, using data from the Adirondack Lakes Survey Corporation (ALSC), and coupling the organic acid model with MAGIC for chemical hindcast comparisons. The incorporation of an organic acid representation into MAGIC can account for much of the discrepancy earlier observed between MAGIC hindcasts and paleolimnological reconstructions of preindustrial pH and alkalinity for 33 statistically-selected Adirondack lakes. Additional work is on-going for model calibration and testing with data from two whole-catchment artificial acidification projects. Results obtained thus far are being prepared as manuscripts for submission to the peer-reviewed scientific literature.

An Incremental Model for Cloud Adoption: Based on a Study of Regional Organizations

Directory of Open Access Journals (Sweden)

Emre Erturk

2017-11-01

Full Text Available Many organizations that use cloud computing services intend to increase this commitment. A survey was distributed to organizations in Hawke’s Bay, New Zealand to understand their adoption of cloud solutions, in comparison with global trends and practices. The survey also included questions on the benefits and challenges, and which delivery model(s they have adopted and are planning to adopt. One aim is to contribute to the cloud computing literature and build on the existing adoption models. This study also highlights additional aspects applicable to various organizations (small, medium, large and regional. Finally, recommendations are provided for related future research projects.

Fuzzy model for risk assessment of persistent organic pollutants in aquatic ecosystems

International Nuclear Information System (INIS)

Seguí, X.; Pujolasus, E.; Betrò, S.; Àgueda, A.; Casal, J.; Ocampo-Duque, W.; Rudolph, I.; Barra, R.; Páez, M.; Barón, E.; Eljarrat, E.; Barceló, D.; Darbra, R.M.

2013-01-01

We developed a model for evaluating the environmental risk of persistent organic pollutants (POPs) to aquatic organisms. The model is based on fuzzy theory and uses information provided by international experts through a questionnaire. It has been tested in two case studies for a particular type of POPs: brominated flame retardants (BFRs). The first case study is related to the EU-funded AQUATERRA project, with sampling campaigns carried out in two Ebro tributaries in Spain (the Cinca and Vero Rivers). The second one, named the BROMACUA project, assessed different aquatic ecosystems in Chile (San Vicente Bay) and Colombia (Santa Marta Marsh). In both projects, the BFRs under study were polybrominated diphenyl ethers (PBDEs) and hexabromocyclododecane (HBCD). However, the model can be extrapolated to other POPs and to different aquatic ecosystems to provide useful results for decision-makers. -- The risk of POPs for aquatic organisms was assessed at several sites around the world, using a fuzzy-based model to provide useful results for decision-makers

KICS: A Model of Motivational Leadership in Organizations

Directory of Open Access Journals (Sweden)

John N. N. Ugoani

2015-09-01

Full Text Available This pure research gave birth to a Model of Motivational Leadership – KICS: which embraces knowledge, intelligence, collaboration and synergy. It is a synergistic  proposition based on the theory of emotional intelligence as the index of competencies needed for effective leadership. It opened with a general discussion on traditional models of leadership, then the roles of knowledge, intelligence, collaboration and synergy as they relate to motivational leadership. Issues of emotional intelligence clusters and synthesis of the model’s elements were discussed, emphasizing how KICS-based motivational leadership skills can be developed and sustained. Motivational leadership entails exciting people’s imaginations and inspiring them to move in a desired direction. It takes more than simple power to motivate and lead in organizations. Realizing that unity and cohesiveness are built from personal bonds, the best leaders ensure to deepen their rapport with employees and colleagues which enhances organizational performance. This pure research argues that the synergy of related emotional intelligence competencies can lead to motivational leadership behaviour. Knowledge is critical to leadership because there are different types of leadership and different situations require different kinds of knowledge, and the person possessing the knowledge demanded by a certain situation in most cases, tends to become the best leader. A knowledgeable person is one who is trained to consider his actions to undertake them deliberately, in a disciplined manner. Added to this ability is the intelligence to endure in a chosen course in the face of distraction, confusion and difficulty, all combined in producing a motivational leader. Knowledge tends to be procedural in nature and to operate outside of focal awareness. It also reflects the structure of the situation more closely than it does in the structure of formal disciplinary knowledge. The survey research design

Similarity-based search of model organism, disease and drug effect phenotypes

KAUST Repository

Hoehndorf, Robert; Gruenberger, Michael; Gkoutos, Georgios V; Schofield, Paul N

2015-01-01

Background: Semantic similarity measures over phenotype ontologies have been demonstrated to provide a powerful approach for the analysis of model organism phenotypes, the discovery of animal models of human disease, novel pathways, gene functions

Green Algae as Model Organisms for Biological Fluid Dynamics

Science.gov (United States)

Goldstein, Raymond E.

2015-01-01

In the past decade, the volvocine green algae, spanning from the unicellular Chlamydomonas to multicellular Volvox, have emerged as model organisms for a number of problems in biological fluid dynamics. These include flagellar propulsion, nutrient uptake by swimming organisms, hydrodynamic interactions mediated by walls, collective dynamics and transport within suspensions of microswimmers, the mechanism of phototaxis, and the stochastic dynamics of flagellar synchronization. Green algae are well suited to the study of such problems because of their range of sizes (from 10 μm to several millimeters), their geometric regularity, the ease with which they can be cultured, and the availability of many mutants that allow for connections between molecular details and organism-level behavior. This review summarizes these recent developments and highlights promising future directions in the study of biological fluid dynamics, especially in the context of evolutionary biology, that can take advantage of these remarkable organisms.

Organizing integrated health-care services to meet older people's needs.

Science.gov (United States)

Araujo de Carvalho, Islene; Epping-Jordan, JoAnne; Pot, Anne Margriet; Kelley, Edward; Toro, Nuria; Thiyagarajan, Jotheeswaran A; Beard, John R

2017-11-01

In most countries, a fundamental shift in the focus of clinical care for older people is needed. Instead of trying to manage numerous diseases and symptoms in a disjointed fashion, the emphasis should be on interventions that optimize older people's physical and mental capacities over their life course and that enable them to do the things they value. This, in turn, requires a change in the way services are organized: there should be more integration within the health system and between health and social services. Existing organizational structures do not have to merge; rather, a wide array of service providers must work together in a more coordinated fashion. The evidence suggests that integrated health and social care for older people contributes to better health outcomes at a cost equivalent to usual care, thereby giving a better return on investment than more familiar ways of working. Moreover, older people can participate in, and contribute to, society for longer. Integration at the level of clinical care is especially important: older people should undergo comprehensive assessments with the goal of optimizing functional ability and care plans should be shared among all providers. At the health system level, integrated care requires: (i) supportive policy, plans and regulatory frameworks; (ii) workforce development; (iii) investment in information and communication technologies; and (iv) the use of pooled budgets, bundled payments and contractual incentives. However, action can be taken at all levels of health care from front-line providers through to senior leaders - everyone has a role to play.

Numerical modelling of organic waste dispersion from fjord located fish farms

Science.gov (United States)

Ali, Alfatih; Thiem, Øyvind; Berntsen, Jarle

2011-07-01

In this study, a three-dimensional particle tracking model coupled to a terrain following ocean model is used to investigate the dispersion and the deposition of fish farm particulate matter (uneaten food and fish faeces) on the seabed due to tidal currents. The particle tracking model uses the computed local flow field for advection of the particles and random movement to simulate the turbulent diffusion. Each particle is given a settling velocity which may be drawn from a probability distribution according to settling velocity measurements of faecal and feed pellets. The results show that the maximum concentration of organic waste for fast sinking particles is found under the fish cage and continue monotonically decreasing away from the cage area. The maximum can split into two maximum peaks located at both sides of the centre of the fish cage area in the current direction. This process depends on the sinking time (time needed for a particle to settle at the bottom), the tidal velocity and the fish cage size. If the sinking time is close to a multiple of the tidal period, the maximum concentration point will be under the fish cage irrespective of the tide strength. This is due to the nature of the tidal current first propagating the particles away and then bringing them back when the tide reverses. Increasing the cage size increases the likelihood for a maximum waste accumulation beneath the fish farm, and larger farms usually means larger biomasses which can make the local pollution even more severe. The model is validated by using an analytical model which uses an exact harmonic representation of the tidal current, and the results show an excellent agreement. This study shows that the coupled ocean and particle model can be used in more realistic applications to help estimating the local environmental impact due to fish farms.

Organic condensation - a vital link connecting aerosol formation to climate forcing

Science.gov (United States)

Riipinen, I.; Pierce, J. R.; Yli-Juuti, T.; Nieminen, T.; Häkkinen, S.; Ehn, M.; Junninen, H.; Lehtipalo, K.; Petäjä, T.; Slowik, J.; Chang, R.; Shantz, N. C.; Abbatt, J.; Leaitch, W. R.; Kerminen, V.-M.; Worsnop, D. R.; Pandis, S. N.; Donahue, N. M.; Kulmala, M.

2011-01-01

Atmospheric aerosol particles influence global climate as well as impair air quality through their effects on atmospheric visibility and human health. Ultrafine (<100 nm) particles often dominate aerosol numbers, and nucleation of atmospheric vapors is an important source of these particles. To have climatic relevance, however, the freshly-nucleated particles need to grow in size. We combine observations from two continental sites (Egbert, Canada and Hyytiälä, Finland) to show that condensation of organic vapors is a crucial factor governing the lifetimes and climatic importance of the smallest atmospheric particles. We demonstrate that state-of-the-science organic gas-particle partitioning models fail to reproduce the observations, and propose a modeling approach that is consistent with the measurements. We demonstrate the large sensitivity of climatic forcing of atmospheric aerosols to these interactions between organic vapors and the smallest atmospheric nanoparticles - highlighting the need for representing this process in global climate models.

From Learning Object to Learning Cell: A Resource Organization Model for Ubiquitous Learning

Science.gov (United States)

Yu, Shengquan; Yang, Xianmin; Cheng, Gang; Wang, Minjuan

2015-01-01

This paper presents a new model for organizing learning resources: Learning Cell. This model is open, evolving, cohesive, social, and context-aware. By introducing a time dimension into the organization of learning resources, Learning Cell supports the dynamic evolution of learning resources while they are being used. In addition, by introducing a…

Systemic analysis - diagnosis of organizations under the focus of the theory of human organization: a model for change.

Directory of Open Access Journals (Sweden)

Edson Fernandes Fernandes

2016-06-01

Full Text Available This study addresses the organizations understood as inseparable and integrated systems in the administrative process overcomes the fragmented and unilateral vision of companies. The Theory of Human Organization (T.O.H. is a tool to identify, analyze, diagnose and establish plans and strategies for problem solving, understanding of the company in its entirety and organizational growth for any type of industry in which it operates; or any category of organization she belongs. The theory works 14 with subsystems that have specific functions and performances of the scene divided into 14 realities systemic integrated into a single assembly, whose relationship and interaction of the subsystems with each other and interdependent on the total system of the company. The tool T.O.H. provides a 360 degree view to understanding the broad operation of the company, leaving no gaps. This study presents an analysis of the case of a company chairs furniture industry, where research resulted in understanding and diagnosis of the relationship between employees and the organization, and proposals for strategic plans for solving problems and needed change from the company.

The care of Filipino juvenile offenders in residential facilities evaluated using the risk-need-responsivity model

NARCIS (Netherlands)

Spruit, A.; Wissink, I.B.; Stams, G.J.J.M.

According to the risk-need-responsivity model of offender, assessment and rehabilitation treatment should target specific factors that are related to re-offending. This study evaluates the residential care of Filipino juvenile offenders using the risk-need-responsivity model. Risk analyses and

Organizations as machines, organizations as conversations: two core metaphors and their consequences.

Science.gov (United States)

Suchman, Anthony L

2011-12-01

One factor contributing to the limited success of organizational change initiatives is the use of an outmoded conceptual model: the organization as machine. This metaphor leads to the creation of detailed blueprints for desired changes; invites unrealistic expectations of control; and creates anxiety, blame and defensiveness when events inevitably do not proceed according to plan, thus hindering the work. An alternative conceptualization--the organization as conversation--portrays an organization not as a reified object upon which we can act but as self-organizing patterns of thinking (organizational identity and knowledge) and relating (organizational culture) that exist in the medium of human interaction in which we participate. Principles of complexity dynamics (self-organization) have important implications for organizational change practices. (1) Organizational change requires mindful participation--reflecting on and talking about what we are doing together here and now, what patterns of thinking and interacting we are enacting, and what new behaviors might interrupt old patterns or give rise to new ones. (2) Diversity and responsiveness favor the emergence of novel patterns. Skilled facilitation can enhance these characteristics when novelty is desirable; checklists and protocols can diminish these characteristics when consistency and reliability are needed. (3) We cannot know in advance the outcomes of our actions so we need to hold plans lightly, value "not knowing" and practice emergent design. The organization-as-conversation perspective also has important implications for T3 translational research, redefining its purpose, suggesting new methodologies, and requiring new approaches for evaluating proposed and completed projects.

Modeling organic aerosols in a megacity: potential contribution of semi-volatile and intermediate volatility primary organic compounds to secondary organic aerosol formation

Directory of Open Access Journals (Sweden)

A. Hodzic

2010-06-01

Full Text Available It has been established that observed local and regional levels of secondary organic aerosols (SOA in polluted areas cannot be explained by the oxidation and partitioning of anthropogenic and biogenic VOC precursors, at least using current mechanisms and parameterizations. In this study, the 3-D regional air quality model CHIMERE is applied to estimate the potential contribution to SOA formation of recently identified semi-volatile and intermediate volatility organic precursors (S/IVOC in and around Mexico City for the MILAGRO field experiment during March 2006. The model has been updated to include explicitly the volatility distribution of primary organic aerosols (POA, their gas-particle partitioning and the gas-phase oxidation of the vapors. Two recently proposed parameterizations, those of Robinson et al. (2007 ("ROB" and Grieshop et al. (2009 ("GRI" are compared and evaluated against surface and aircraft measurements. The 3-D model results are assessed by comparing with the concentrations of OA components from Positive Matrix Factorization of Aerosol Mass Spectrometer (AMS data, and for the first time also with oxygen-to-carbon ratios derived from high-resolution AMS measurements. The results show a substantial enhancement in predicted SOA concentrations (2–4 times with respect to the previously published base case without S/IVOCs (Hodzic et al., 2009, both within and downwind of the city leading to much reduced discrepancies with the total OA measurements. Model improvements in OA predictions are associated with the better-captured SOA magnitude and diurnal variability. The predicted production from anthropogenic and biomass burning S/IVOC represents 40–60% of the total measured SOA at the surface during the day and is somewhat larger than that from commonly measured aromatic VOCs, especially at the T1 site at the edge of the city. The SOA production from the continued multi-generation S/IVOC oxidation products continues actively

Does Institutional Theory Need Redirecting?

DEFF Research Database (Denmark)

Meyer, Renate; Höllerer, Markus A.

2014-01-01

Greenwood, Hinings and Whetten (2014) present two major criticisms of current institutional scholarship, and see need for a broad redirection: institutional organization theory, they argue, has lost sight of the claim to study organizations and, with its overwhelming focus on isomorphism and simi...

Optimising the anaerobic co-digestion of urban organic waste using dynamic bioconversion mathematical modelling

DEFF Research Database (Denmark)

Fitamo, Temesgen Mathewos; Boldrin, Alessio; Dorini, G.

2016-01-01

Mathematical anaerobic bioconversion models are often used as a convenient way to simulate the conversion of organic materials to biogas. The aim of the study was to apply a mathematical model for simulating the anaerobic co-digestion of various types of urban organic waste, in order to develop...... in a continuously stirred tank reactor. The model's outputs were validated with experimental results obtained in thermophilic conditions, with mixed sludge as a single substrate and urban organic waste as a co-substrate at hydraulic retention times of 30, 20, 15 and 10 days. The predicted performance parameter...... (methane productivity and yield) and operational parameter (concentration of ammonia and volatile fatty acid) values were reasonable and displayed good correlation and accuracy. The model was later applied to identify optimal scenarios for an urban organic waste co-digestion process. The simulation...

Computational and Statistical Analyses of Insertional Polymorphic Endogenous Retroviruses in a Non-Model Organism

Directory of Open Access Journals (Sweden)

Le Bao

2014-11-01

Full Text Available Endogenous retroviruses (ERVs are a class of transposable elements found in all vertebrate genomes that contribute substantially to genomic functional and structural diversity. A host species acquires an ERV when an exogenous retrovirus infects a germ cell of an individual and becomes part of the genome inherited by viable progeny. ERVs that colonized ancestral lineages are fixed in contemporary species. However, in some extant species, ERV colonization is ongoing, which results in variation in ERV frequency in the population. To study the consequences of ERV colonization of a host genome, methods are needed to assign each ERV to a location in a species’ genome and determine which individuals have acquired each ERV by descent. Because well annotated reference genomes are not widely available for all species, de novo clustering approaches provide an alternative to reference mapping that are insensitive to differences between query and reference and that are amenable to mobile element studies in both model and non-model organisms. However, there is substantial uncertainty in both identifying ERV genomic position and assigning each unique ERV integration site to individuals in a population. We present an analysis suitable for detecting ERV integration sites in species without the need for a reference genome. Our approach is based on improved de novo clustering methods and statistical models that take the uncertainty of assignment into account and yield a probability matrix of shared ERV integration sites among individuals. We demonstrate that polymorphic integrations of a recently identified endogenous retrovirus in deer reflect contemporary relationships among individuals and populations.

What is needed to eliminate new pediatric HIV infections: The contribution of model-based analyses

Science.gov (United States)

Doherty, Katie; Ciaranello, Andrea

2013-01-01

Purpose of Review Computer simulation models can identify key clinical, operational, and economic interventions that will be needed to achieve the elimination of new pediatric HIV infections. In this review, we summarize recent findings from model-based analyses of strategies for prevention of mother-to-child HIV transmission (MTCT). Recent Findings In order to achieve elimination of MTCT (eMTCT), model-based studies suggest that scale-up of services will be needed in several domains: uptake of services and retention in care (the PMTCT “cascade”), interventions to prevent HIV infections in women and reduce unintended pregnancies (the “four-pronged approach”), efforts to support medication adherence through long periods of pregnancy and breastfeeding, and strategies to make breastfeeding safer and/or shorter. Models also project the economic resources that will be needed to achieve these goals in the most efficient ways to allocate limited resources for eMTCT. Results suggest that currently recommended PMTCT regimens (WHO Option A, Option B, and Option B+) will be cost-effective in most settings. Summary Model-based results can guide future implementation science, by highlighting areas in which additional data are needed to make informed decisions and by outlining critical interventions that will be necessary in order to eliminate new pediatric HIV infections. PMID:23743788

Microfluidic Organ-on-a-Chip Models of Human IntestineSummary

Directory of Open Access Journals (Sweden)

Amir Bein

Full Text Available Microfluidic organ-on-a-chip models of human intestine have been developed and used to study intestinal physiology and pathophysiology. In this article, we review this field and describe how microfluidic Intestine Chips offer new capabilities not possible with conventional culture systems or organoid cultures, including the ability to analyze contributions of individual cellular, chemical, and physical control parameters one-at-a-time; to coculture human intestinal cells with commensal microbiome for extended times; and to create human-relevant disease models. We also discuss potential future applications of human Intestine Chips, including how they might be used for drug development and personalized medicine. Keywords: Organs-on-Chips, Gut-on-a-Chip, Intestine-on-a-Chip, Microfluidic

Modeling growth of specific spoilage organisms in tilapia ...

African Journals Online (AJOL)

Tilapia is an important aquatic fish, but severe spoilage of tilapia is most likely related to the global aquaculture. The spoilage is mostly caused by specific spoilage organisms (SSO). Therefore, it is very important to use microbial models to predict the growth of SSO in tilapia. This study firstly verified Pseudomonas and Vibrio ...

Application of the human needs conceptual model of dental hygiene to the role of the clinician : part II.

Science.gov (United States)

Walsh, M M; Darby, M

1993-01-01

In summary, the theories of Maslow and of Yura and Walsh have been highlighted as background for understanding the human needs conceptual model of dental hygiene. In addition, 11 human needs have been identified and defined as being especially related to dental hygiene care, and a sample evaluation tool for their clinical assessment and a dental hygiene care plan have been presented. The four concepts of client, environment, health/oral health, and dental hygiene actions explained in terms of human need theory, and the 11 human needs related to dental hygiene care constitute the human needs conceptual model of dental hygiene. Within the framework of the human needs conceptual model of dental hygiene, the dental hygiene process is a systematic approach to dental hygiene care that involves assessment of the 11 human needs related to dental hygiene care; analysis of deficits in these needs; determination of the dental hygiene care plan based on identified deficits; implementation of dental hygiene interventions stated in the care plan; and evaluation of the effectiveness of dental hygiene interventions in achieving specific goals, including subsequent reassessment and revision of the dental hygiene care plan. This human needs conceptual model for dental hygiene provides a guide for comprehensive and humanistic client care. This model allows the dental hygienist to view each client (whether an individual or a group) holistically to prevent oral disease and to promote health and wellness. Dental hygiene theorists are encouraged to expand this model or to develop additional conceptual models based on dental hygiene's paradigm.

Device model investigation of bilayer organic light emitting diodes

International Nuclear Information System (INIS)

Crone, B. K.; Davids, P. S.; Campbell, I. H.; Smith, D. L.

2000-01-01

Organic materials that have desirable luminescence properties, such as a favorable emission spectrum and high luminescence efficiency, are not necessarily suitable for single layer organic light-emitting diodes (LEDs) because the material may have unequal carrier mobilities or contact limited injection properties. As a result, single layer LEDs made from such organic materials are inefficient. In this article, we present device model calculations of single layer and bilayer organic LED characteristics that demonstrate the improvements in device performance that can occur in bilayer devices. We first consider an organic material where the mobilities of the electrons and holes are significantly different. The role of the bilayer structure in this case is to move the recombination away from the electrode that injects the low mobility carrier. We then consider an organic material with equal electron and hole mobilities but where it is not possible to make a good contact for one carrier type, say electrons. The role of a bilayer structure in this case is to prevent the holes from traversing the device without recombining. In both cases, single layer device limitations can be overcome by employing a two organic layer structure. The results are discussed using the calculated spatial variation of the carrier densities, electric field, and recombination rate density in the structures. (c) 2000 American Institute of Physics

Sordaria macrospora, a model organism to study fungal cellular development.

Science.gov (United States)

Engh, Ines; Nowrousian, Minou; Kück, Ulrich

2010-12-01

During the development of multicellular eukaryotes, the processes of cellular growth and organogenesis are tightly coordinated. Since the 1940s, filamentous fungi have served as genetic model organisms to decipher basic mechanisms underlying eukaryotic cell differentiation. Here, we focus on Sordaria macrospora, a homothallic ascomycete and important model organism for developmental biology. During its sexual life cycle, S. macrospora forms three-dimensional fruiting bodies, a complex process involving the formation of different cell types. S. macrospora can be used for genetic, biochemical and cellular experimental approaches since diverse tools, including fluorescence microscopy, a marker recycling system and gene libraries, are available. Moreover, the genome of S. macrospora has been sequenced and allows functional genomics analyses. Over the past years, our group has generated and analysed a number of developmental mutants which has greatly enhanced our fundamental understanding about fungal morphogenesis. In addition, our recent research activities have established a link between developmental proteins and conserved signalling cascades, ultimately leading to a regulatory network controlling differentiation processes in a eukaryotic model organism. This review summarizes the results of our recent findings, thus advancing current knowledge of the general principles and paradigms underpinning eukaryotic cell differentiation and development. Copyright © 2010 Elsevier GmbH. All rights reserved.

Self-Other Agreement Between Employees on their Need for Achievement, Power, and Affiliation: A Social Relations Study

OpenAIRE

Doeze Jager-van Vliet, Sandra; Born, Marise; Molen, Henk

2017-01-01

textabstractThe present study focused on self-other agreement between employees on their Need for Achievement, Need for Power and Need for Affiliation, which needs are relevant for performance and wellbeing at work. The Social Relations Model was used to examine consensus between other-raters, self-other agreement and assumed similarity (seeing others as one sees oneself) on these needs. Data were collected among 168 employees from a Dutch non-profit organization, with four employees in each ...

Intriguing model significantly reduces boarding of psychiatric patients, need for inpatient hospitalization.

Science.gov (United States)

2015-01-01

As new approaches to the care of psychiatric emergencies emerge, one solution is gaining particular traction. Under the Alameda model, which has been put into practice in Alameda County, CA, patients who are brought to regional EDs with emergency psychiatric issues are quickly transferred to a designated emergency psychiatric facility as soon as they are medically stabilized. This alleviates boarding problems in area EDs while also quickly connecting patients with specialized care. With data in hand on the model's effectiveness, developers believe the approach could alleviate boarding problems in other communities as well. The model is funded by through a billing code established by California's Medicaid program for crisis stabilization services. Currently, only 22% of the patients brought to the emergency psychiatric facility ultimately need to be hospitalized; the other 78% are able to go home or to an alternative situation. In a 30-day study of the model, involving five community hospitals in Alameda County, CA, researchers found that ED boarding times were as much as 80% lower than comparable ED averages, and that patients were stabilized at least 75% of the time, significantly reducing the need for inpatient hospitalization.

A taxonomy of nursing care organization models in hospitals.

Science.gov (United States)

Dubois, Carl-Ardy; D'Amour, Danielle; Tchouaket, Eric; Rivard, Michèle; Clarke, Sean; Blais, Régis

2012-08-28

Over the last decades, converging forces in hospital care, including cost-containment policies, rising healthcare demands and nursing shortages, have driven the search for new operational models of nursing care delivery that maximize the use of available nursing resources while ensuring safe, high-quality care. Little is known, however, about the distinctive features of these emergent nursing care models. This article contributes to filling this gap by presenting a theoretically and empirically grounded taxonomy of nursing care organization models in the context of acute care units in Quebec and comparing their distinctive features. This study was based on a survey of 22 medical units in 11 acute care facilities in Quebec. Data collection methods included questionnaire, interviews, focus groups and administrative data census. The analytical procedures consisted of first generating unit profiles based on qualitative and quantitative data collected at the unit level, then applying hierarchical cluster analysis to the units' profile data. The study identified four models of nursing care organization: two professional models that draw mainly on registered nurses as professionals to deliver nursing services and reflect stronger support to nurses' professional practice, and two functional models that draw more significantly on licensed practical nurses (LPNs) and assistive staff (orderlies) to deliver nursing services and are characterized by registered nurses' perceptions that the practice environment is less supportive of their professional work. This study showed that medical units in acute care hospitals exhibit diverse staff mixes, patterns of skill use, work environment design, and support for innovation. The four models reflect not only distinct approaches to dealing with the numerous constraints in the nursing care environment, but also different degrees of approximations to an "ideal" nursing professional practice model described by some leaders in the

Dubinin-Astakhov model for acetylene adsorption on metal-organic frameworks

Energy Technology Data Exchange (ETDEWEB)

Cheng, Peifu; Hu, Yun Hang, E-mail: yunhangh@mtu.edu

2016-07-30

Graphical abstract: It was demonstrated that Dubinin-Astakhov equation can be exploited as a general isotherm model for C2H2 adsorption on metal-organic frameworks (MOFs), including MOF-5, ZIF-8, HKUST-1, and MIL-53. - Highlights: • Dubinin-Astakhov equation is demonstrated to be a general model for C{sub 2}H{sub 2} adsorption on metal-organic frameworks (MOFs). • Surface areas obtained with Dubinin-Astakhov equation from C{sub 2}H{sub 2} adsorption on MOFs are consistent with BET surface areas from N{sub 2} adsorption. • C{sub 2}H{sub 2} on MOF-5, ZIF-8, and MIL-53 is a physical adsorption, whereas its adsorption on HKUST-1 is due to a chemical bonding. - Abstract: Acetylene (C{sub 2}H{sub 2}) is explosive at a pressure above 29 psi, causing a safety issue for its storage and applications. C{sub 2}H{sub 2} adsorption on metal-organic frameworks (MOFs) has been explored to solve the issue. However, a suitable isotherm equation for C{sub 2}H{sub 2} adsorption on various MOFs has not been found. In this paper, it was demonstrated that Dubinin-Astakhov equation can be exploited as a general isotherm model to depict C{sub 2}H{sub 2} adsorption on MOF-5, ZIF-8, HKUST-1, and MIL-53. In contrast, commonly used Langmuir and BET models exhibited their inapplicability for C{sub 2}H{sub 2} adsorption on those MOFs.

Process based modelling of soil organic carbon redistribution on landscape scale

Science.gov (United States)

Schindewolf, Marcus; Seher, Wiebke; Amorim, Amorim S. S.; Maeso, Daniel L.; Jürgen, Schmidt

2014-05-01

Recent studies have pointed out the great importance of erosion processes in global carbon cycling. Continuous erosion leads to a massive loss of top soils including the loss of organic carbon accumulated over long time in the soil humus fraction. Lal (2003) estimates that 20% of the organic carbon eroded with top soils is emitted into atmosphere, due to aggregate breakdown and carbon mineralization during transport by surface runoff. Furthermore soil erosion causes a progressive decrease of natural soil fertility, since cation exchange capacity is associated with organic colloids. As a consequence the ability of soils to accumulate organic carbon is reduced proportionately to the drop in soil productivity. The colluvial organic carbon might be protected from further degradation depending on the depth of the colluvial cover and local decomposing conditions. Some colluvial sites can act as long-term sinks for organic carbon. The erosional transport of organic carbon may have an effect on the global carbon budget, however, it is uncertain, whether erosion is a sink or a source for carbon in the atmosphere. Another part of eroded soils and organic carbon will enter surface water bodies and might be transported over long distances. These sediments might be deposited in the riparian zones of river networks. Erosional losses of organic carbon will not pass over into atmosphere for the most part. But soil erosion limits substantially the potential of soils to sequester atmospheric CO2 by generating humus. The present study refers to lateral carbon flux modelling on landscape scale using the process based EROSION 3D soil loss simulation model, using existing parameter values. The selective nature of soil erosion results in a preferentially transport of fine particles while less carbonic larger particles remain on site. Consequently organic carbon is enriched in the eroded sediment compared to the origin soil. For this reason it is essential that EROSION 3D provides the

A mathematical model for pressure-based organs behaving as biological pressure vessels.

Science.gov (United States)

Casha, Aaron R; Camilleri, Liberato; Gauci, Marilyn; Gatt, Ruben; Sladden, David; Chetcuti, Stanley; Grima, Joseph N

2018-04-26

We introduce a mathematical model that describes the allometry of physical characteristics of hollow organs behaving as pressure vessels based on the physics of ideal pressure vessels. The model was validated by studying parameters such as body and organ mass, systolic and diastolic pressures, internal and external dimensions, pressurization energy and organ energy output measurements of pressure-based organs in a wide range of mammals and birds. Seven rules were derived that govern amongst others, lack of size efficiency on scaling to larger organ sizes, matching organ size in the same species, equal relative efficiency in pressurization energy across species and direct size matching between organ mass and mass of contents. The lung, heart and bladder follow these predicted theoretical relationships with a similar relative efficiency across various mammalian and avian species; an exception is cardiac output in mammals with a mass exceeding 10kg. This may limit massive body size in mammals, breaking Cope's rule that populations evolve to increase in body size over time. Such a limit was not found in large flightless birds exceeding 100kg, leading to speculation about unlimited dinosaur size should dinosaurs carry avian-like cardiac characteristics. Copyright © 2018. Published by Elsevier Ltd.

Radionuclide Transport Modelling: Current Status and Future Needs. Synthesis, Work Group Reports and Extended Abstracts

International Nuclear Information System (INIS)

2002-06-01

The workshop identified a set of critical issues for the Swedish Nuclear Power Inspectorate (SKI) and the Swedish Radiation Protection Authority (SSI) to address in preparing for future reviews of license applications, which have subsequently been considered in preparing this synthesis. Structure for organising expert participation: A structure for organising expert participation in future reviews is proposed based on clearinghouses for (1) regulatory application and context, (2) engineered barrier systems, (3) geosphere, (4) biosphere, and (5) performance assessment integration and calculations. As part of their work, these clearinghouses could identify key issues that need to be resolved prior to future reviews. Performance assessment strategy and review context: Future reviews will be conducted in the context of regulations based on risk criteria; this leads to a need to review the methods used in probabilistic risk assessment, as well as the underlying process models. A plan is needed for accomplishing both aims. Despite the probabilistic framework, a need is anticipated for targeted, deterministic calculations to check particular assumptions. Priorities and ambition level for reviews: SKI's and SSI's resources can be more efficiently utilised by an early review of SKB's safety case, so that if necessary the authorities can make an early start on evaluating topics that are of primary significance to the safety case. As a guide to planning for allocation of effort in future reviews, this workshop produced a preliminary ranking of technical issues, on a scale from 'non-controversial' to 'requiring independent modelling,' Analysis of repository system and scenarios: Systems analysis tools including features/events/processes encyclopaedias, process-influence diagrams, and assessment-model flowcharts should be used as review tools, to check the processes and influences considered in SKB's analyses, and to evaluate the comprehensiveness of the scenarios that are

Radionuclide Transport Modelling: Current Status and Future Needs. Synthesis, Work Group Reports and Extended Abstracts

Energy Technology Data Exchange (ETDEWEB)

NONE

2002-06-01

The workshop identified a set of critical issues for the Swedish Nuclear Power Inspectorate (SKI) and the Swedish Radiation Protection Authority (SSI) to address in preparing for future reviews of license applications, which have subsequently been considered in preparing this synthesis. Structure for organising expert participation: A structure for organising expert participation in future reviews is proposed based on clearinghouses for (1) regulatory application and context, (2) engineered barrier systems, (3) geosphere, (4) biosphere, and (5) performance assessment integration and calculations. As part of their work, these clearinghouses could identify key issues that need to be resolved prior to future reviews. Performance assessment strategy and review context: Future reviews will be conducted in the context of regulations based on risk criteria; this leads to a need to review the methods used in probabilistic risk assessment, as well as the underlying process models. A plan is needed for accomplishing both aims. Despite the probabilistic framework, a need is anticipated for targeted, deterministic calculations to check particular assumptions. Priorities and ambition level for reviews: SKI's and SSI's resources can be more efficiently utilised by an early review of SKB's safety case, so that if necessary the authorities can make an early start on evaluating topics that are of primary significance to the safety case. As a guide to planning for allocation of effort in future reviews, this workshop produced a preliminary ranking of technical issues, on a scale from 'non-controversial' to 'requiring independent modelling,' Analysis of repository system and scenarios: Systems analysis tools including features/events/processes encyclopaedias, process-influence diagrams, and assessment-model flowcharts should be used as review tools, to check the processes and influences considered in SKB's analyses, and to evaluate the comprehensiveness of the scenarios that are

Motivation needs of sampled Fortune-500 CEOs: relations to organization outcomes.

Science.gov (United States)

Chusmir, L H; Azevedo, A

1992-10-01

Motive scores (needs for Achievement, Affiliation, and Power) of the chief executive officers of the nation's 50 largest industrial firms were determined using content analysis of letters to stockholders contained in the firms' annual reports. The scoring method was a modification of the standard TAT scoring procedure. Results showed that chief executive officers' high need Achievement was correlated with relative growth in sales, while high need Power was correlated with relative growth in profits. Effects of need Achievement and need Power also were examined for return on equity and return on sales. Implications are discussed.

Modeling of the transient mobility in disordered organic semiconductors

NARCIS (Netherlands)

Germs, W.C.; Van der Holst, J.M.M.; Van Mensfoort, S.L.M.; Bobbert, P.A.; Coehoorn, R.

2011-01-01

In non-steady-state experiments, the electrical response of devicesbased on disordered organic semiconductors often shows a large transient contribution due to relaxation of the out-of-equilibrium charge-carrier distribution. We have developed a model describing this process, based only on the

Zebrabase: An intuitive tracking solution for aquatic model organisms

OpenAIRE

Oltova, Jana; Bartunek, Petr; Machonova, Olga; Svoboda, Ondrej; Skuta, Ctibor; Jindrich, Jindrich

2018-01-01

Small fish species, like zebrafish or medaka, are constantly gaining popularity in basic research and disease modeling as a useful alternative to rodent model organisms. However, the tracking options for fish within a facility are rather limited. Here, we present an aquatic species tracking database, Zebrabase, developed in our zebrafish research and breeding facility that represents a practical and scalable solution and an intuitive platform for scientists, fish managers and caretakers, in b...

POEM APPRECIATION LEARNING MODEL IN INDONESIA EXPLORATION STUDY AND NEEDS ANALYSIS

Directory of Open Access Journals (Sweden)

Sukini

2016-12-01

Full Text Available Poem Appreciation is a compulsary course at Indonesian Language and Literature Education Department of higher education. This exploratory research aimed at exploring problems and needs encountered by lecturers and students in Poem Appreciation course in the areas of Surakarta ex-residency and Yogyakarta Special Region. The research subjects were lecturers and students involved in poem learning in those areas. Observation, interview, document analysis, and questionnaire were used as data collection techniques. Related to Poem Appreciation course, the problems and needs for lecturers are: (1 the arrangement of lesson plan and syllabus; (2 the implementation of its procedure; (3 the evaluation of its learning; whereas those for students include the use of strategy and learning models which are innovative, effective, and students-centered. Inquiry-Based Learning (IBL is necessarily needed by lecturers and students in Poem Appreciation course.

Global warming and environmental contaminants in aquatic organisms: the need of the etho-toxicology approach.

Science.gov (United States)

Manciocco, Arianna; Calamandrei, Gemma; Alleva, Enrico

2014-04-01

Environmental contaminants are associated with a wide spectrum of pathological effects. Temperature increase affects ambient distribution and toxicity of these chemicals in the water environment, representing a potentially emerging problem for aquatic species with short-, medium- and long-term repercussions on human health through the food chain. We assessed peer-reviewed literature, including primary studies, review articles and organizational reports available. We focused on studies concerning toxicity of environmental pollutants within a global warming scenario. Existing knowledge on the effects that the increase of water temperature in a contaminated situation has on physiological mechanisms of aquatic organisms is presented. Altogether we consider the potential consequences for the human beings due to fish and shellfish consumption. Finally, we propose an etho-toxicological approach to study the effects of toxicants in conditions of thermal increase, using aquatic organisms as experimental models under laboratory controlled conditions. Copyright © 2014 Elsevier Ltd. All rights reserved.

Model Stimulus-Organism-Response: Penentu Perilaku Pembelian Konsumen Secara Situasional

OpenAIRE

Magdalena, Nonie

2005-01-01

Understanding about consumer purchase behavior is an essential aspect for developing organization bussiness strategic, especially in retailing. S-O-R (Stimulus-Organism-Response) model helps the practision and academics to understand which stimulus will influence consumers and the reaction that comsumer gave. One of the stimulus that explained in this article is the situation. Situation is an aspect that had change and hardly to predict. In other words, situation will determine consumer purch...

Computer Security Incident Response Team Effectiveness: A Needs Assessment.

Science.gov (United States)

Van der Kleij, Rick; Kleinhuis, Geert; Young, Heather

2017-01-01

Computer security incident response teams (CSIRTs) respond to a computer security incident when the need arises. Failure of these teams can have far-reaching effects for the economy and national security. CSIRTs often have to work on an ad hoc basis, in close cooperation with other teams, and in time constrained environments. It could be argued that under these working conditions CSIRTs would be likely to encounter problems. A needs assessment was done to see to which extent this argument holds true. We constructed an incident response needs model to assist in identifying areas that require improvement. We envisioned a model consisting of four assessment categories: Organization, Team, Individual and Instrumental. Central to this is the idea that both problems and needs can have an organizational, team, individual, or technical origin or a combination of these levels. To gather data we conducted a literature review. This resulted in a comprehensive list of challenges and needs that could hinder or improve, respectively, the performance of CSIRTs. Then, semi-structured in depth interviews were held with team coordinators and team members of five public and private sector Dutch CSIRTs to ground these findings in practice and to identify gaps between current and desired incident handling practices. This paper presents the findings of our needs assessment and ends with a discussion of potential solutions to problems with performance in incident response.

Computer Security Incident Response Team Effectiveness: A Needs Assessment

Directory of Open Access Journals (Sweden)

Rick Van der Kleij

2017-12-01

Full Text Available Computer security incident response teams (CSIRTs respond to a computer security incident when the need arises. Failure of these teams can have far-reaching effects for the economy and national security. CSIRTs often have to work on an ad hoc basis, in close cooperation with other teams, and in time constrained environments. It could be argued that under these working conditions CSIRTs would be likely to encounter problems. A needs assessment was done to see to which extent this argument holds true. We constructed an incident response needs model to assist in identifying areas that require improvement. We envisioned a model consisting of four assessment categories: Organization, Team, Individual and Instrumental. Central to this is the idea that both problems and needs can have an organizational, team, individual, or technical origin or a combination of these levels. To gather data we conducted a literature review. This resulted in a comprehensive list of challenges and needs that could hinder or improve, respectively, the performance of CSIRTs. Then, semi-structured in depth interviews were held with team coordinators and team members of five public and private sector Dutch CSIRTs to ground these findings in practice and to identify gaps between current and desired incident handling practices. This paper presents the findings of our needs assessment and ends with a discussion of potential solutions to problems with performance in incident response.

Regional modeling of carbonaceous aerosols over Europe-focus on secondary organic aerosols

International Nuclear Information System (INIS)

Bessagnet, B.; Menut, L.; Curci, G.; Hodzic, A.; Guillaume, B.; Liousse, C.; Moukhtar, S.; Pun, B.; Seigneur, C.; Schulz, M.

2008-01-01

In this study, an improved and complete secondary organic aerosols (SOA) chemistry scheme was implemented in the CHIMERE model. The implementation of isoprene chemistry for SOA significantly improves agreement between long series of simulated and observed particulate matter concentrations. While simulated organic carbon concentrations are clearly improved at elevated sites by adding the SOA scheme, time correlation are impaired at low level sites in Portugal, Italy and Slovakia. At several sites a clear underestimation by the CHIMERE model is noticed in wintertime possibly due to missing wood burning emissions as shown in previous modeling studies. In Europe, the CHIMERE model gives yearly average SOA concentrations ranging from 0.5 μg m -3 in the Northern Europe to 4 μg m -3 over forested regions in Spain, France, Germany and Italy. In addition, our work suggests that during the highest fire emission periods, fires can be the dominant source of primary organic carbon over the Mediterranean Basin, but the SOA contribution from fire emissions is low. Isoprene chemistry has a strong impact on SOA formation when using current available kinetic schemes. (authors)

Ontology aided modeling of organic reaction mechanisms with flexible and fragment based XML markup procedures.

Science.gov (United States)

Sankar, Punnaivanam; Aghila, Gnanasekaran

2007-01-01

The mechanism models for primary organic reactions encoding the structural fragments undergoing substitution, addition, elimination, and rearrangements are developed. In the proposed models, each and every structural component of mechanistic pathways is represented with flexible and fragment based markup technique in XML syntax. A significant feature of the system is the encoding of the electron movements along with the other components like charges, partial charges, half bonded species, lone pair electrons, free radicals, reaction arrows, etc. needed for a complete representation of reaction mechanism. The rendering of reaction schemes described with the proposed methodology is achieved with a concise XML extension language interoperating with the structure markup. The reaction scheme is visualized as 2D graphics in a browser by converting them into SVG documents enabling the desired layouts normally perceived by the chemists conventionally. An automatic representation of the complex patterns of the reaction mechanism is achieved by reusing the knowledge in chemical ontologies and developing artificial intelligence components in terms of axioms.

Mature and emerging organic markets: Modelling consumer attitude and behaviour with Partial Least Square Approach

OpenAIRE

von Meyer-Höfer, Marie; von der Wense, Vera; Padilla Bravo, Carlos; Spiller, Achim

2013-01-01

Although the organic food sector has been the subject of research for around 20 years, little is known about consumer behaviour when comparing developed and emerging organic food markets using causal research models. Thus, by developing a behavioural model based on the Theory of Planned Behaviour (TPB), the aim of this research article is to investigate the main determinants of organic food consumption in a mature (Germany) and an emerging (Chile) organic market. Subjects aged 18 or above wer...

Snpdat: Easy and rapid annotation of results from de novo snp discovery projects for model and non-model organisms

Directory of Open Access Journals (Sweden)

Doran Anthony G

2013-02-01

Full Text Available Abstract Background Single nucleotide polymorphisms (SNPs are the most abundant genetic variant found in vertebrates and invertebrates. SNP discovery has become a highly automated, robust and relatively inexpensive process allowing the identification of many thousands of mutations for model and non-model organisms. Annotating large numbers of SNPs can be a difficult and complex process. Many tools available are optimised for use with organisms densely sampled for SNPs, such as humans. There are currently few tools available that are species non-specific or support non-model organism data. Results Here we present SNPdat, a high throughput analysis tool that can provide a comprehensive annotation of both novel and known SNPs for any organism with a draft sequence and annotation. Using a dataset of 4,566 SNPs identified in cattle using high-throughput DNA sequencing we demonstrate the annotations performed and the statistics that can be generated by SNPdat. Conclusions SNPdat provides users with a simple tool for annotation of genomes that are either not supported by other tools or have a small number of annotated SNPs available. SNPdat can also be used to analyse datasets from organisms which are densely sampled for SNPs. As a command line tool it can easily be incorporated into existing SNP discovery pipelines and fills a niche for analyses involving non-model organisms that are not supported by many available SNP annotation tools. SNPdat will be of great interest to scientists involved in SNP discovery and analysis projects, particularly those with limited bioinformatics experience.

Does Vocational Education Model fit to Fulfil Prisoners’ Needs Based on Gender?

Science.gov (United States)

Hayzaki, S. H.; Nurhaeni, I. D. A.

2018-02-01

Men and women have different needs, based on their gender or the socio-cultural construction. The government has issued a policy about accelerating the equivalence of gender since 2012 through responsive planning and budgeting. With the policy, every institution (including the institutions under the ministry of law and human rights) must integrate its gender perspective on planning and budgeting, then it can fulfill the different needs between men and women. One of the programs developed in prisons for prisoners is vocational education and technology for preparing the prisoners’ life after being released from the prison cells. This article was made for evaluating the vocational education and training given to the prisoners. Gender perspective is employed as the analyzing tool. The result was then used as the basis of formulating vocational education model integrating gender perspective. The research was conducted at the Prison of Demak Regency, Indonesia. The method used in the research is qualitative descriptive with data collection techniques using by in-depth interviews, observation and documentation. The data analysis uses statistic description of Harvard’s checklist category model and combined with Moser category model. The result shows that vocational education and training given have not considered the differences between men and women. As a result, the prisoners were still not able to understand their different needs which can cause gender injustice when they come into job market. It is suggested that gender perspective must be included as a teaching material in the vocational education and training.

Uncertainties in Organ Burdens Estimated from PAS

International Nuclear Information System (INIS)

La Bone, T.R.

2004-01-01

To calculate committed effective dose equivalent, one needs to know the quantity of the radionuclide in all significantly irradiated organs (the organ burden) as a function of time following the intake. There are two major sources of uncertainty in an organ burden estimated from personal air sampling (PAS) data: (1) The uncertainty in going from the exposure measured with the PAS to the quantity of aerosol inhaled by the individual, and (2) The uncertainty in going from the intake to the organ burdens at any given time, taking into consideration the biological variability of the biokinetic models from person to person (interperson variability) and in one person over time (intra-person variability). We have been using biokinetic modeling methods developed by researchers at the University of Florida to explore the impact of inter-person variability on the uncertainty of organ burdens estimated from PAS data. These initial studies suggest that the uncertainties are so large that PAS might be considered to be a qualitative (rather than quantitative) technique. These results indicate that more studies should be performed to properly classify the reliability and usefulness of using PAS monitoring data to estimate organ burdens, organ dose, and ultimately CEDE

A narrative review of the empirical evidence on public attitudes on brain death and vital organ transplantation: the need for better data to inform policy.

Science.gov (United States)

Shah, Seema K; Kasper, Kenneth; Miller, Franklin G

2015-04-01

Vital organ transplantation is premised on 'the dead donor rule': donors must be declared dead according to medical and legal criteria prior to donation. However, it is controversial whether individuals diagnosed as 'brain dead' are really dead in accordance with the established biological conception of death-the irreversible cessation of the functioning of the organism as a whole. A basic understanding of brain death is also relevant for giving valid, informed consent to serve as an organ donor. There is therefore a need for reliable empirical data on public understanding of brain death and vital organ transplantation. We conducted a review of the empirical literature that identified 43 articles with approximately 18,603 study participants. These data demonstrate that participants generally do not understand three key issues: (1) uncontested biological facts about brain death, (2) the legal status of brain death and (3) that organs are procured from brain dead patients while their hearts are still beating and before their removal from ventilators. These data suggest that, despite scholarly claims of widespread public support for organ donation from brain dead patients, the existing data on public attitudes regarding brain death and organ transplantation reflect substantial public confusion. Our review raises questions about the validity of consent for vital organ transplantation and suggests that existing data are of little assistance in developing policy proposals for organ transplantation from brain dead patients. New approaches to rigorous empirical research with educational components and evaluations of understanding are urgently needed. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Rainfall-induced fecal indicator organisms transport from manured fields: model sensitivity analysis.

Science.gov (United States)

Martinez, Gonzalo; Pachepsky, Yakov A; Whelan, Gene; Yakirevich, Alexander M; Guber, Andrey; Gish, Timothy J

2014-02-01

Microbial quality of surface waters attracts attention due to food- and waterborne disease outbreaks. Fecal indicator organisms (FIOs) are commonly used for the microbial pollution level evaluation. Models predicting the fate and transport of FIOs are required to design and evaluate best management practices that reduce the microbial pollution in ecosystems and water sources and thus help to predict the risk of food and waterborne diseases. In this study we performed a sensitivity analysis for the KINEROS/STWIR model developed to predict the FIOs transport out of manured fields to other fields and water bodies in order to identify input variables that control the transport uncertainty. The distributions of model input parameters were set to encompass values found from three-year experiments at the USDA-ARS OPE3 experimental site in Beltsville and publicly available information. Sobol' indices and complementary regression trees were used to perform the global sensitivity analysis of the model and to explore the interactions between model input parameters on the proportion of FIO removed from fields. Regression trees provided a useful visualization of the differences in sensitivity of the model output in different parts of the input variable domain. Environmental controls such as soil saturation, rainfall duration and rainfall intensity had the largest influence in the model behavior, whereas soil and manure properties ranked lower. The field length had only moderate effect on the model output sensitivity to the model inputs. Among the manure-related properties the parameter determining the shape of the FIO release kinetic curve had the largest influence on the removal of FIOs from the fields. That underscored the need to better characterize the FIO release kinetics. Since the most sensitive model inputs are available in soil and weather databases or can be obtained using soil water models, results indicate the opportunity of obtaining large-scale estimates of FIO

A predictive framework for evaluating models of semantic organization in free recall

Science.gov (United States)

Morton, Neal W; Polyn, Sean M.

2016-01-01

Research in free recall has demonstrated that semantic associations reliably influence the organization of search through episodic memory. However, the specific structure of these associations and the mechanisms by which they influence memory search remain unclear. We introduce a likelihood-based model-comparison technique, which embeds a model of semantic structure within the context maintenance and retrieval (CMR) model of human memory search. Within this framework, model variants are evaluated in terms of their ability to predict the specific sequence in which items are recalled. We compare three models of semantic structure, latent semantic analysis (LSA), global vectors (GloVe), and word association spaces (WAS), and find that models using WAS have the greatest predictive power. Furthermore, we find evidence that semantic and temporal organization is driven by distinct item and context cues, rather than a single context cue. This finding provides important constraint for theories of memory search. PMID:28331243

Activating Global Operating Models: The bridge from organization design to performance

Directory of Open Access Journals (Sweden)

Amy Kates

2015-07-01

Full Text Available This article introduces the concept of activation and discusses its use in the implementation of global operating models by large multinational companies. We argue that five particular activators help set in motion the complex strategies and organizations required by global operating models.

CIRUN: Climate Information Responding to User Needs

Science.gov (United States)

Busalacchi, A. J.

2009-12-01

climate or projections of climate change? - Is your organization developing a plan for adapting to climate change? - What are your needs for climate observations, predictions, and services? Please cite one or more specific examples when possible. - Do you currently have access to the climate information your organization needs? - What next steps are needed to assure effective use of climate services in your decision making? As a result, a dialogue with various user communities and a subsequent series of more sector specific workshops has been established regarding how significantly enhanced climate observations, data management, modeling, and predictions can provide valuable decision support for business and policy decisions. In particular, CIRUN has helped - To identify how users, stakeholders, and decision makers are influenced by climate on time scales from seasons to decades - To identify the needs and requirements of users, stakeholders, and decision makers for climate information, observations, predictions, and services from global to local scales - To identify what adaptation measures are being considered in the private and public sectors, and how this might result in new classes of information for decision support - To recommend principal elements of the path forward toward more effective use of climate services in decision making.

Analyzing Enterprise Networks Needs: Action Research from the Mechatronics Sector

Science.gov (United States)

Cagnazzo, Luca; Taticchi, Paolo; Bidini, Gianni; Baglieri, Enzo

New business models and theories are developing nowadays towards collaborative environments direction, and many new tools in sustaining companies involved in these organizations are emerging. Among them, a plethora of methodologies to analyze their needs are already developed for single companies. Few academic works are available about Enterprise Networks (ENs) need analysis. This paper presents the learning from an action research (AR) in the mechatronics sector: AR has been used in order to experience the issue of evaluating network needs and therefore define, develop, and test a complete framework for network evaluation. Reflection on the story in the light of the experience and the theory is presented, as well as extrapolation to a broader context and articulation of usable knowledge.

A model of virtual organization for corporate visibility and ...

African Journals Online (AJOL)

This paper considers the existing numerous research in business, Information and Communication Technology (ICT), examines a theoretical framework for value creation in a virtual world. Following a proposed model, a new strategic paradigm is created for corporate value; and virtual organization (VO) apply the use of ...

Research needs for coupling geochemical and flow models for nuclear waste isolation

International Nuclear Information System (INIS)

Pearson, F.J. Jr.

1985-01-01

An overview of coupling geochemical and flow models for nuclear waste disposal is presented and research needs are discussed. Topics considered include, chemical effects on flow, fluid and rock properties, pressure effects, water-rock equilibria, and reaction kinetics. 25 references

A needs assessment for an employee assistance program

OpenAIRE

2012-01-01

M.A. Employee Assistance Programs (EAP) can be defined as programs, sponsored by management and labor, that are specifically designed to identify and assist employees and their families with various difficulties that impair personal and occupational functioning. Adventist Community Services (ACS) is a welfare organization that identified the need within the organization for such a program. A needs assessment to determine the specific needs of employees and volunteers with regard to such a ...

Dynamic data-driven integrated flare model based on self-organized criticality

Science.gov (United States)

Dimitropoulou, M.; Isliker, H.; Vlahos, L.; Georgoulis, M. K.

2013-05-01

Context. We interpret solar flares as events originating in active regions that have reached the self-organized critical state. We describe them with a dynamic integrated flare model whose initial conditions and driving mechanism are derived from observations. Aims: We investigate whether well-known scaling laws observed in the distribution functions of characteristic flare parameters are reproduced after the self-organized critical state has been reached. Methods: To investigate whether the distribution functions of total energy, peak energy, and event duration follow the expected scaling laws, we first applied the previously reported static cellular automaton model to a time series of seven solar vector magnetograms of the NOAA active region 8210 recorded by the Imaging Vector Magnetograph on May 1 1998 between 18:59 UT and 23:16 UT until the self-organized critical state was reached. We then evolved the magnetic field between these processed snapshots through spline interpolation, mimicking a natural driver in our dynamic model. We identified magnetic discontinuities that exceeded a threshold in the Laplacian of the magnetic field after each interpolation step. These discontinuities were relaxed in local diffusion events, implemented in the form of cellular automaton evolution rules. Subsequent interpolation and relaxation steps covered all transitions until the end of the processed magnetograms' sequence. We additionally advanced each magnetic configuration that has reached the self-organized critical state (SOC configuration) by the static model until 50 more flares were triggered, applied the dynamic model again to the new sequence, and repeated the same process sufficiently often to generate adequate statistics. Physical requirements, such as the divergence-free condition for the magnetic field, were approximately imposed. Results: We obtain robust power laws in the distribution functions of the modeled flaring events with scaling indices that agree well

THE ASSOCIATION OF ISLAMIC BASED CARING MODEL AND COMMITMENT TO ORGANIZATION IN STAFF NURSES

Directory of Open Access Journals (Sweden)

Yuda Ayu Timorita

2017-12-01

Full Text Available Background: Strong organizational commitment is needed by hospitals to attract and retain nursing staffs in order to consistently deliver good quality of nursing services. The decrease in organizational commitment among nurses can cause many losses to the organization, including increased organizational spending, breakdown in patient care, and cause performance trends that appear not for the benefit of the organization or unit, but more for personal self-interest. Objective: To analyze the relationship of the application of Islamic Based Caring (IBC model with organizational commitment among nurses. Methods: This was a correlation analytic research with cross sectional design. There were 108 nurses selected using a propotionate stratified random sampling. Islamic Based Caring was measured using a questionnaire developed based on the theory of Suhartini Ismail (2016, and organizational commitment was measured using a questionnaire developed based on the concept of Caldwell, O’Reilly & Chatmann (1990 and Mowday, Porter dan Steers (1982 in Asmaningrum (2009. Logistic regression and forward stepwise (conditional method were used for data analysis. Results: There was a statistically significant correlation of a healing presence (p=0.000, caring relationship (p=0.010, caring environment (p=0.045 and belief in God (p=0.000. Belief in God (Allah SWT has the highest correlation (OR=6.660 with organizational commitment among nurses. Conclusion: There is a positive and significant relationship between the implementation of Islamic Based Caring with the organization's commitment among nurses.

CHALLENGES OF AGING LABOR FORCE IN AN ORGANIZATION

Directory of Open Access Journals (Sweden)

Marjan Petrišič

2013-09-01

Full Text Available This paper examines the impacts of the changes of the composition of the ageing labor force on the skills and knowledge transfer in an organization. The changing individual needs of older individuals are creating powerful, labor dynamic incentives. For the management organizations from private and public sector, this is an organizational challenge linked to cultural transformation on the level of organization. The results of the study show that the manager and non-manager respondents have the unique aspect of the role of senior employees in some small Slovenian organizations. Managers in the sample based on their managerial experience, see the older workers in an organization primarily as transformers of jobs to younger employees, which should be courteous and efficient and should help the organization competitiveness. Non – managers’ respondents give priority to employment and retirement strategy for senior employees and maintain a positive view of older employees’ motives and productivity. Further, non – managers point to the need to keep older workers with unique skills and competences in an organization. We conclude that organizations will meet the challenge of ageing labor force in the near future. They will have to start the organizational culture, which will promote business change and continuous flow of skills and competences through inter-generation model.

Modeling Temperature Dependent Singlet Exciton Dynamics in Multilayered Organic Nanofibers

DEFF Research Database (Denmark)

de Sousa, Leonardo Evaristo; de Oliveira Neto, Pedro Henrique; Kjelstrup-Hansen, Jakob

2018-01-01

Organic nanofibers have shown potential for application in optoelectronic devices because of the tunability of their optical properties. These properties are influenced by the electronic structure of the molecules that compose the nanofibers, but also by the behavior of the excitons generated...... dynamics in multilayered organic nanofibers. By simulating absorption and emission spectra, the possible Förster transitions are identified. Then, a Kinetic Monte Carlo (KMC) model is employed in combination with a genetic algorithm to theoretically reproduce time resolved photoluminescence measurements...

A self-organized internal models architecture for coding sensory-motor schemes

Directory of Open Access Journals (Sweden)

Esaú eEscobar Juárez

2016-04-01

Full Text Available Cognitive robotics research draws inspiration from theories and models on cognition, as conceived by neuroscience or cognitive psychology, to investigate biologically plausible computational models in artificial agents. In this field, the theoretical framework of Grounded Cognition provides epistemological and methodological grounds for the computational modeling of cognition. It has been stressed in the literature that textit{simulation}, textit{prediction}, and textit{multi-modal integration} are key aspects of cognition and that computational architectures capable of putting them into play in a biologically plausible way are a necessity.Research in this direction has brought extensive empirical evidencesuggesting that textit{Internal Models} are suitable mechanisms forsensory-motor integration. However, current Internal Models architectures show several drawbacks, mainly due to the lack of a unified substrate allowing for a true sensory-motor integration space, enabling flexible and scalable ways to model cognition under the embodiment hypothesis constraints.We propose the Self-Organized Internal ModelsArchitecture (SOIMA, a computational cognitive architecture coded by means of a network of self-organized maps, implementing coupled internal models that allow modeling multi-modal sensory-motor schemes. Our approach addresses integrally the issues of current implementations of Internal Models.We discuss the design and features of the architecture, and provide empirical results on a humanoid robot that demonstrate the benefits and potentialities of the SOIMA concept for studying cognition in artificial agents.

Regional modeling of carbonaceous aerosols over Europe-focus on secondary organic aerosols

Energy Technology Data Exchange (ETDEWEB)

Bessagnet, B. [INERIS, Inst Nat Env Indust Risques, F-60550 Verneuil en Halatte, (France); Menut, L. [Ecole Poltechnique, Inst Pierre Simon Laplace, Lab Meteorol Dyn, F-91128 Palaiseau, (France); Curci, G. [Univ degli Studi dell' Aquila, CETEMPS, 67010 Coppito - L' Aquila, (Italy); Hodzic, A. [NCAR, Nat Center for Atmosph Research, Boulder, 80301, CO, (United States); Guillaume, B.; Liousse, C. [LA/OMP, Lab Aerol/Observ Midi-Pyrenees, F-31400 Toulouse, (France); Moukhtar, S. [York Univ, Centre Atmosph Chem, Toronto, (Italy); Pun, B.; Seigneur, C. [Atmosph and Environ Research, San Ramon, CA 94583, (United States); Schulz, M. [CEA-CNRS-UVSQ, IPSL, Lab Sciences Climat et Environm, F-91191 Gif sur Yvette, (France)

2008-07-01

In this study, an improved and complete secondary organic aerosols (SOA) chemistry scheme was implemented in the CHIMERE model. The implementation of isoprene chemistry for SOA significantly improves agreement between long series of simulated and observed particulate matter concentrations. While simulated organic carbon concentrations are clearly improved at elevated sites by adding the SOA scheme, time correlation are impaired at low level sites in Portugal, Italy and Slovakia. At several sites a clear underestimation by the CHIMERE model is noticed in wintertime possibly due to missing wood burning emissions as shown in previous modeling studies. In Europe, the CHIMERE model gives yearly average SOA concentrations ranging from 0.5 {mu}g m{sup -3} in the Northern Europe to 4 {mu}g m{sup -3} over forested regions in Spain, France, Germany and Italy. In addition, our work suggests that during the highest fire emission periods, fires can be the dominant source of primary organic carbon over the Mediterranean Basin, but the SOA contribution from fire emissions is low. Isoprene chemistry has a strong impact on SOA formation when using current available kinetic schemes. (authors)

Molecular simulation of a model of dissolved organic matter.

Science.gov (United States)

Sutton, Rebecca; Sposito, Garrison; Diallo, Mamadou S; Schulten, Hans-Rolf

2005-08-01

A series of atomistic simulations was performed to assess the ability of the Schulten dissolved organic matter (DOM) molecule, a well-established model humic molecule, to reproduce the physical and chemical behavior of natural humic substances. The unhydrated DOM molecule had a bulk density value appropriate to humic matter, but its Hildebrand solubility parameter was lower than the range of current experimental estimates. Under hydrated conditions, the DOM molecule went through conformational adjustments that resulted in disruption of intramolecular hydrogen bonds (H-bonds), although few water molecules penetrated the organic interior. The radius of gyration of the hydrated DOM molecule was similar to those measured for aquatic humic substances. To simulate humic materials under aqueous conditions with varying pH levels, carboxyl groups were deprotonated, and hydrated Na+ or Ca2+ were added to balance the resulting negative charge. Because of intrusion of the cation hydrates, the model metal-humic structures were more porous, had greater solvent-accessible surface areas, and formed more H-bonds with water than the protonated, hydrated DOM molecule. Relative to Na+, Ca2+ was both more strongly bound to carboxylate groups and more fully hydrated. This difference was attributed to the higher charge of the divalent cation. The Ca-DOM hydrate, however, featured fewer H-bonds than the Na-DOM hydrate, perhaps because of the reduced orientational freedom of organic moieties and water molecules imposed by Ca2+. The present work is, to our knowledge, the first rigorous computational exploration regarding the behavior of a model humic molecule under a range of physical conditions typical of soil and water systems.

A taxonomy of nursing care organization models in hospitals

Science.gov (United States)

2012-01-01

Background Over the last decades, converging forces in hospital care, including cost-containment policies, rising healthcare demands and nursing shortages, have driven the search for new operational models of nursing care delivery that maximize the use of available nursing resources while ensuring safe, high-quality care. Little is known, however, about the distinctive features of these emergent nursing care models. This article contributes to filling this gap by presenting a theoretically and empirically grounded taxonomy of nursing care organization models in the context of acute care units in Quebec and comparing their distinctive features. Methods This study was based on a survey of 22 medical units in 11 acute care facilities in Quebec. Data collection methods included questionnaire, interviews, focus groups and administrative data census. The analytical procedures consisted of first generating unit profiles based on qualitative and quantitative data collected at the unit level, then applying hierarchical cluster analysis to the units’ profile data. Results The study identified four models of nursing care organization: two professional models that draw mainly on registered nurses as professionals to deliver nursing services and reflect stronger support to nurses’ professional practice, and two functional models that draw more significantly on licensed practical nurses (LPNs) and assistive staff (orderlies) to deliver nursing services and are characterized by registered nurses’ perceptions that the practice environment is less supportive of their professional work. Conclusions This study showed that medical units in acute care hospitals exhibit diverse staff mixes, patterns of skill use, work environment design, and support for innovation. The four models reflect not only distinct approaches to dealing with the numerous constraints in the nursing care environment, but also different degrees of approximations to an “ideal” nursing professional practice

Silkworm: A Promising Model Organism in Life Science.

Science.gov (United States)

Meng, Xu; Zhu, Feifei; Chen, Keping

2017-09-01

As an important economic insect, silkworm Bombyx mori (L.) (Lepidoptera: Bombycidae) has numerous advantages in life science, such as low breeding cost, large progeny size, short generation time, and clear genetic background. Additionally, there are rich genetic resources associated with silkworms. The completion of the silkworm genome has further accelerated it to be a modern model organism in life science. Genomic studies showed that some silkworm genes are highly homologous to certain genes related to human hereditary disease and, therefore, are a candidate model for studying human disease. In this article, we provided a review of silkworm as an important model in various research areas, including human disease, screening of antimicrobial agents, environmental safety monitoring, and antitumor studies. In addition, the application potentiality of silkworm model in life sciences was discussed. © The Author 2017. Published by Oxford University Press on behalf of Entomological Society of America.

ICoNOs MM: The IT-enabled Collaborative Networked Organizations Maturity Model

NARCIS (Netherlands)

Santana Tapia, R.G.

2009-01-01

The focus of this paper is to introduce a comprehensive model for assessing and improving maturity of business-IT alignment (B-ITa) in collaborative networked organizations (CNOs): the ICoNOs MM. This two dimensional maturity model (MM) addresses five levels of maturity as well as four domains to

Sorption of organic compounds to activated carbons. Evaluation of isotherm models

NARCIS (Netherlands)

Pikaar, I.; Koelmans, A.A.; Noort, van P.C.M.

2006-01-01

Sorption to 'hard carbon' (black carbon, coal, kerogen) in soils and sediments is of major importance for risk assessment of organic pollutants. We argue that activated carbon (AC) may be considered a model sorbent for hard carbon. Here, we evaluate six sorption models on a literature dataset for

Peculiarities of the risk management system organization in current conditions

OpenAIRE

MIKHIN P.O.

2014-01-01

Risk-management system organization problem is topical nowadays. The innovation activity is defined as an activity vulnerable to risk and needs more attention. The basic approaches and elements of organization structure development in risk-management system are considered to find out the best structure for business modelling usage. Balance and combination of risk-management system types are required in current conditions.

Need Satisfaction at Work, Job Strain, and Performance: A Diary Study.

Science.gov (United States)

De Gieter, Sara; Hofmans, Joeri; Bakker, Arnold B

2017-08-24

We performed a daily diary study to examine the mediating role of autonomy need satisfaction and competence need satisfaction in the relationships between job characteristics (i.e., job resources, challenge and hindrance demands) and strain and performance. For 10 consecutive working days, 194 employees reported on their daily job resources, challenge and hindrance demands, task performance, strain level, and satisfaction of the needs for competence and autonomy. Multilevel path modeling demonstrated that the within-person relationships between job resources, challenge and hindrance demands, and strain are mediated by autonomy need satisfaction, but not by competence need satisfaction. However, the relationships between job resources and hindrance demands, and performance are mediated by both competence and autonomy need satisfaction. Our findings show that organizations may benefit from designing jobs that provide employees with the opportunity to satisfy their basic needs for competence and autonomy. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Overcoming the organization-practice barrier in sports injury prevention: A nonhierarchical organizational model.

Science.gov (United States)

Dahlström, Ö; Jacobsson, J; Timpka, T

2015-08-01

The organization of sports at the national level has seldom been included in scientific discussions of sports injury prevention. The aim of this study was to develop a model for organization of sports that supports prevention of overuse injuries. The quality function deployment technique was applied in seminars over a two-season period to develop a national organizational structure for athletics in Sweden that facilitates prevention of overuse injuries. Three central features of the resulting model for organization of sports at the national level are (a) diminishment of the organizational hierarchy: participatory safety policy design is introduced through annual meetings where actors from different sectors of the sporting community discuss training, injury prevention, and sports safety policy; (b) introduction of a safety surveillance system: a ubiquitous system for routine collection of injury and illness data; and (c) an open forum for discussion of safety issues: maintenance of a safety forum for participants from different sectors of the sport. A nonhierarchical model for organization of sports at the national level - facilitated by modern information technology - adapted for the prevention of overuse injuries has been developed. Further research is warranted to evaluate the new organizational model in prospective effectiveness studies. © 2014 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Paying for quality not quantity: a wisconsin health maintenance organization proposes an incentive model for reimbursement of chiropractic services.

Science.gov (United States)

Pursel, Kevin J; Jacobson, Martin; Stephenson, Kathy

2012-07-01

The purpose of this study is to describe a reimbursement model that was developed by one Health Maintenance Organization (HMO) to transition from fee-for-service to add a combination of pay for performance and reporting model of reimbursement for chiropractic care. The previous incentive program used by the HMO provided best-practice education and additional reimbursement incentives for achieving the National Committee for Quality Assurance Back Pain Recognition Program (NCQA-BPRP) recognition status. However, this model had not leveled costs between doctors of chiropractic (DCs). Therefore, the HMO management aimed to develop a reimbursement model to incentivize providers to embrace existing best-practice models and report existing quality metrics. The development goals included the following: it should (1) be as financially predictable as the previous system, (2) cost no more on a per-member basis, (3) meet the coverage needs of its members, and (4) be able to be operationalized. The model should also reward DCs who embraced best practices with compensation, not simply tied to providing more procedures, the new program needed to (1) cause little or no disruption in current billing, (2) be grounded achievable and defined expectations for improvement in quality, and (3) be voluntary, without being unduly punitive, should the DC choose not to participate in the program. The generated model was named the Comprehensive Chiropractic Quality Reimbursement Methodology (CCQRM; pronounced "Quorum"). In this hybrid model, additional reimbursement, beyond pay-for-procedures will be based on unique payment interpretations reporting selected, existing Physician Quality Reporting System (PQRS) codes, meaningful use of electronic health records, and achieving NCQA-BPRP recognition. This model aims to compensate providers using pay-for-performance, pay-for-quality reporting, pay-for-procedure methods. The CCQRM reimbursement model was developed to address the current needs of one

The need for second-line antiretroviral therapy in adults in sub-Saharan Africa up to 2030: a mathematical modelling study.

Science.gov (United States)

Estill, Janne; Ford, Nathan; Salazar-Vizcaya, Luisa; Haas, Andreas D; Blaser, Nello; Habiyambere, Vincent; Keiser, Olivia

2016-03-01

The number of patients in need of second-line antiretroviral drugs is increasing in sub-Saharan Africa. We aimed to project the need of second-line antiretroviral therapy in adults in sub-Saharan Africa up to 2030. We developed a simulation model for HIV and applied it to each sub-Saharan African country. We used the WHO country intelligence database to estimate the number of adult patients receiving antiretroviral therapy from 2005 to 2014. We fitted the number of adult patients receiving antiretroviral therapy to observed estimates, and predicted first-line and second-line needs between 2015 and 2030. We present results for sub-Saharan Africa, and eight selected countries. We present 18 scenarios, combining the availability of viral load monitoring, speed of antiretroviral scale-up, and rates of retention and switching to second-line. HIV transmission was not included. Depending on the scenario, 8·7-25·6 million people are expected to receive antiretroviral therapy in 2020, of whom 0·5-3·0 million will be receiving second-line antiretroviral therapy. The proportion of patients on treatment receiving second-line therapy was highest (15·6%) in the scenario with perfect retention and immediate switching, no further scale-up, and universal routine viral load monitoring. In 2030, the estimated range of patients receiving antiretroviral therapy will remain constant, but the number of patients receiving second-line antiretroviral therapy will increase to 0·8-4·6 million (6·6-19·6%). The need for second-line antiretroviral therapy was two to three times higher if routine viral load monitoring was implemented throughout the region, compared with a scenario of no further viral load monitoring scale-up. For each monitoring strategy, the future proportion of patients receiving second-line antiretroviral therapy differed only minimally between countries. Donors and countries in sub-Saharan Africa should prepare for a substantial increase in the need for second

A model and typology of collaboration between professionals in healthcare organizations.

Science.gov (United States)

D'Amour, Danielle; Goulet, Lise; Labadie, Jean-François; Martín-Rodriguez, Leticia San; Pineault, Raynald

2008-09-21

The new forms of organization of healthcare services entail the development of new clinical practices that are grounded in collaboration. Despite recent advances in research on the subject of collaboration, there is still a need for a better understanding of collaborative processes and for conceptual tools to help healthcare professionals develop collaboration amongst themselves in complex systems. This study draws on D'Amour's structuration model of collaboration to analyze healthcare facilities offering perinatal services in four health regions in the province of Quebec. The objectives are to: 1) validate the indicators of the structuration model of collaboration; 2) evaluate interprofessional and interorganizational collaboration in four health regions; and 3) propose a typology of collaboration A multiple-case research strategy was used. The cases were the healthcare facilities that offer perinatal services in four health regions in the province of Quebec (Canada). The data were collected through 33 semi-structured interviews with healthcare managers and professionals working in the four regions. Written material was also analyzed. The data were subjected to a "mixed" inductive-deductive analysis conducted in two main stages: an internal analysis of each case followed by a cross-sectional analysis of all the cases. The collaboration indicators were shown to be valid, although some changes were made to three of them. Analysis of the data showed great variation in the level of collaboration between the cases and on each dimension. The results suggest a three-level typology of collaboration based on the ten indicators: active collaboration, developing collaboration and potential collaboration. The model and the typology make it possible to analyze collaboration and identify areas for improvement. Researchers can use the indicators to determine the intensity of collaboration and link it to clinical outcomes. Professionals and administrators can use the model to

Self-organized dynamics in local load-sharing fiber bundle models.

Science.gov (United States)

Biswas, Soumyajyoti; Chakrabarti, Bikas K

2013-10-01

We study the dynamics of a local load-sharing fiber bundle model in two dimensions under an external load (which increases with time at a fixed slow rate) applied at a single point. Due to the local load-sharing nature, the redistributed load remains localized along the boundary of the broken patch. The system then goes to a self-organized state with a stationary average value of load per fiber along the (increasing) boundary of the broken patch (damaged region) and a scale-free distribution of avalanche sizes and other related quantities are observed. In particular, when the load redistribution is only among nearest surviving fiber(s), the numerical estimates of the exponent values are comparable with those of the Manna model. When the load redistribution is uniform along the patch boundary, the model shows a simple mean-field limit of this self-organizing critical behavior, for which we give analytical estimates of the saturation load per fiber values and avalanche size distribution exponent. These are in good agreement with numerical simulation results.

Identification of Mission Sensitivities with Mission Modeling from the One System Organization at Hanford - 13292

Energy Technology Data Exchange (ETDEWEB)

Belsher, Jeremy D.; Pierson, Kayla L. [Washington River Protection Solutions, LLC, Richland, WA 99352 (United States); Gimpel, Rod F. [One System - Waste Treatment Project, Richland, WA 99352 (United States)

2013-07-01

The Hanford site in southeast Washington contains approximately 207 million liters of radioactive and hazardous waste stored in 177 underground tanks. The U.S. Department of Energy's Office of River Protection is currently managing the Hanford waste treatment mission, which includes the storage, retrieval, treatment and disposal of the tank waste. Two recent studies, employing the modeling tools managed by the One System organization, have highlighted waste cleanup mission sensitivities. The Hanford Tank Waste Operations Simulator Sensitivity Study evaluated the impact that varying 21 different parameters had on the Hanford Tank Waste Operations Simulator model. It concluded that inaccuracies in the predicted phase partitioning of a few key components can result in significant changes in the waste treatment duration and in the amount of immobilized high-level waste that is produced. In addition, reducing the efficiency with which tank waste is retrieved and staged can increase mission duration. The 2012 WTP Tank Utilization Assessment concluded that flowsheet models need to include the latest low-activity waste glass algorithms or the waste treatment mission duration and the amount of low activity waste that is produced could be significantly underestimated. (authors)

Implementing learning organization components in Ardabil Regional Water Company based on Marquardt systematic model

Directory of Open Access Journals (Sweden)

Shahram Mirzaie Daryani

2015-09-01

Full Text Available This main purpose of this study was to survey the implementation of learning organization characteristics based on Marquardt systematic model in Ardabil Regional Water Company. Two hundred and four staff (164 employees and 40 authorities participated in the study. For data collection Marquardt questionnaire was used which its validity and reliability had been confirmed. The results of the data analysis showed that learning organization characteristics were used more than average level in some subsystems of Marquardt model and there was a significant difference between current position and excellent position based on learning organization characteristic application. The results of this study can be used to improve work processes of organizations and institutions.

A structural model of family empowerment for families of children with special needs.

Science.gov (United States)

Han, Kuem Sun; Yang, Yunkyung; Hong, Yeong Seon

2018-03-01

To explain and predict family empowerment in families of children with special needs. Family empowerment of families of children with special needs can be explained using the Double ABCX model. Although constant stressors such as parenting stress and family demands can have negative effects on family empowerment, family resources and parenting efficacy can mediate the negative effect through effective coping strategies. A cross-sectional research design was employed. A survey was conducted with 240 parents of children with special needs. Upon exclusion of four responses deemed inadequate to the statistics process, 236 responses were selected for the analysis. Based on the items used in the previous research, we used the scale of family demands 38, the scale of parenting stress 24, the scale of parenting efficacy 37, the scale of pattern of organisation 30, the scale of communication process 16 and the scale of family empowerment 32. In families of children with special needs, parenting stress had a negative effect on parenting efficacy and family resources, namely, pattern of organisation and communication process. Family needs had a positive effect on parenting efficacy. Parenting stress and family demands influenced family empowerment through parenting efficacy and family resources (pattern of organisation and communication process), while parenting efficacy contributed to family empowerment. This study empirically analysed the usefulness of the Double ABCX model in predicting family empowerment. Family resource factors (organisation pattern and communication process) and perception or judgement factors (such as parenting efficacy) were found to mediate the negative impact of various stressors experienced by families of children with special needs. The study findings suggest that clinical practice and management should focus on providing efficient intervention methods to lower stress in families of children with special needs. Reinforcing factors contributing to

A reciprocal effects model of the temporal ordering of basic psychological needs and motivation.

Science.gov (United States)

Martinent, Guillaume; Guillet-Descas, Emma; Moiret, Sophie

2015-04-01

Using self-determination theory as the framework, we examined the temporal ordering between satisfaction and thwarting of basic psychological needs and motivation. We accomplished this goal by using a two-wave 7-month partial least squares path modeling approach (PLS-PM) among a sample of 94 adolescent athletes (Mage = 15.96) in an intensive training setting. The PLS-PM results showed significant paths leading: (a) from T1 satisfaction of basic psychological need for competence to T2 identified regulation, (b) from T1 external regulation to T2 thwarting and satisfaction of basic psychological need for competence, and (c) from T1 amotivation to T2 satisfaction of basic psychological need for relatedness. Overall, our results suggest that the relationship between basic psychological need and motivation varied depending on the type of basic need and motivation assessed. Basic psychological need for competence predicted identified regulation over time whereas amotivation and external regulation predicted basic psychological need for relatedness or competence over time.

There Is No Simple Model of the Plasma Membrane Organization

Czech Academy of Sciences Publication Activity Database

de la serna, J. B.; Schütz, G.; Eggeling, Ch.; Cebecauer, Marek

2016-01-01

Roč. 4, SEP 2016 (2016), 106 ISSN 2296-634X R&D Projects: GA ČR GA15-06989S Institutional support: RVO:61388955 Keywords : plasma membrane * membrane organization models * heterogeneous distribution Subject RIV: CF - Physical ; Theoretical Chemistry

Modeling X-ray Spectra of Astrophysical Plasmas: Current Status and Future Needs

Science.gov (United States)

Smith, Randall

Existing high-resolution astrophysical X-ray spectra has exposed the need for high-quality atomic data of all stripes: wavelengths, collisional and absorption cross sections, and radiative rates. The Astro-H soft X-ray spectrometer (2015 launch) will vastly increase the number and type of high-resolution X-ray spectra available and likely expose a number of shortcomings in our models. I will describe recent advances in theoretical calculations and laboratory measurements, as well as a number of existing needs in the field. These include accurate soft X-ray wavelengths for L-shell ions, diagnostic emission line ratios with estimated error bars, and high-resolution absorption cross sections for abundant ions and molecules. Finally, new models of emission from non-equilibrium ionization plasmas and astrophysical charge exchange will be discussed. This latter emission arises due to the interaction of highly charged ions with neutral atoms, forming a diffuse background in the case of solar wind ions and possibly also arising in more distant environments.

Model for Railway Infrastructure Management Organization

Directory of Open Access Journals (Sweden)

Gordan Stojić

2012-03-01

Full Text Available The provision of appropriate quality rail services has an important role in terms of railway infrastructure: quality of infrastructure maintenance, regulation of railway traffic, line capacity, speed, safety, train station organization, the allowable lines load and other infrastructure parameters.The analysis of experiences in transforming the railway systems points to the conclusion that there is no unique solution in terms of choice for institutional rail infrastructure management modes, although more than nineteen years have passed from the beginning of the implementation of the Directive 91/440/EEC. Depending on the approach to the process of restructuring the national railway company, adopted regulations and caution in its implementation, the existence or absence of a clearly defined transport strategy, the willingness to liberalize the transport market, there are several different ways for institutional management of railway infrastructure.A hybrid model for selection of modes of institutional rail infrastructure management was developed based on the theory of artificial intelligence, theory of fuzzy sets and theory of multicriteria optimization.KEY WORDSmanagement, railway infrastructure, organizational structure, hybrid model

Modeling financial markets by self-organized criticality

Science.gov (United States)

Biondo, Alessio Emanuele; Pluchino, Alessandro; Rapisarda, Andrea

2015-10-01

We present a financial market model, characterized by self-organized criticality, that is able to generate endogenously a realistic price dynamics and to reproduce well-known stylized facts. We consider a community of heterogeneous traders, composed by chartists and fundamentalists, and focus on the role of informative pressure on market participants, showing how the spreading of information, based on a realistic imitative behavior, drives contagion and causes market fragility. In this model imitation is not intended as a change in the agent's group of origin, but is referred only to the price formation process. We introduce in the community also a variable number of random traders in order to study their possible beneficial role in stabilizing the market, as found in other studies. Finally, we also suggest some counterintuitive policy strategies able to dampen fluctuations by means of a partial reduction of information.

Waste Reduction Model (WARM) Resources for Small Businesses and Organizations

Science.gov (United States)

This page provides a brief overview of how EPA’s Waste Reduction Model (WARM) can be used by small businesses and organizations. The page includes a brief summary of uses of WARM for the audience and links to other resources.

New models needed to manage gas supply, APPrO conference hears

International Nuclear Information System (INIS)

Anon.

2005-01-01

Details of a 1 day conference designed to create more efficient interactions between the gas supply and electricity systems in Ontario and new models for gas supply and the electricity system were presented. Market efficiency, generators' perspectives on critical gas issues, an overview of the North American gas and an outline of issues concerning Ontario were discussed. A natural gas industry forecast and issues concerning marketers and producers were presented. The terms on which gas is bought and sold were discussed. Regulatory tools, cost allocation and issues relating to unbundling were also presented. Infrastructure needs were reviewed, as well as basic market structures. It was suggested that appropriate commercial service options need to be developed and approved, including cross-utility services

Multi-Scale Models for the Scale Interaction of Organized Tropical Convection

Science.gov (United States)

Yang, Qiu

Assessing the upscale impact of organized tropical convection from small spatial and temporal scales is a research imperative, not only for having a better understanding of the multi-scale structures of dynamical and convective fields in the tropics, but also for eventually helping in the design of new parameterization strategies to improve the next-generation global climate models. Here self-consistent multi-scale models are derived systematically by following the multi-scale asymptotic methods and used to describe the hierarchical structures of tropical atmospheric flows. The advantages of using these multi-scale models lie in isolating the essential components of multi-scale interaction and providing assessment of the upscale impact of the small-scale fluctuations onto the large-scale mean flow through eddy flux divergences of momentum and temperature in a transparent fashion. Specifically, this thesis includes three research projects about multi-scale interaction of organized tropical convection, involving tropical flows at different scaling regimes and utilizing different multi-scale models correspondingly. Inspired by the observed variability of tropical convection on multiple temporal scales, including daily and intraseasonal time scales, the goal of the first project is to assess the intraseasonal impact of the diurnal cycle on the planetary-scale circulation such as the Hadley cell. As an extension of the first project, the goal of the second project is to assess the intraseasonal impact of the diurnal cycle over the Maritime Continent on the Madden-Julian Oscillation. In the third project, the goals are to simulate the baroclinic aspects of the ITCZ breakdown and assess its upscale impact on the planetary-scale circulation over the eastern Pacific. These simple multi-scale models should be useful to understand the scale interaction of organized tropical convection and help improve the parameterization of unresolved processes in global climate models.

Modelling of natural organic matter-linked radionuclide transport in Boom clay

International Nuclear Information System (INIS)

Govaerts, J.; Maes, N.

2012-01-01

Document available in extended abstract form only. In the framework of the Belgian research program on long term management of high-level and/or long-lived radioactive wastes coordinated by ONDRAF/NIRAS, Boom Clay is investigated for its potential to host a deep geological disposal repository. In order to demonstrate the suitability of the Boom Clay as a host rock, the mobility of critical radionuclides in this clay layer has been the subject of research during many years. As actinides, lanthanides and transition metals are known to form strong complexes with organic substances, the influence of the Natural Organic Matter (NOM) present in Boom Clay on the mobility of these critical radionuclides is of crucial importance. Interaction of radionuclides with OM present in Boom Clay could on the one hand retard the migration due to complexation/colloid interaction with the immobile OM, and on the other hand the mobility and solubility of the radionuclide can be enhanced by the formation of complexes/colloids with the mobile OM. The conceptual understanding (and its numerical modelling) of the kinetic stability and transport of these complexes/colloids is therefore regarded as highly important for the the long-term safety assesment of the geological disposal. This can be broken down into two subproblems: 1. Describing the transport behaviour of mobile OM in Boom Clay; 2. Describing the interaction of RN with mobile OM and the transport behaviour of the resulting complexes in Boom Clay. The first part of this paper revolves around the first subproblem, where a robust model for the description of the migration behaviour of Natural Organic Matter (NOM) is derived based on data from column migration experiments using 14 C-labelled NOM Tracer solution, obtained in the framework of the EC TRANCOM-II project. Clay plugs of different lengths and different Darcy velocities were used. Inverse modelling with the MATLAB and COMSOL numerical code was done in order to identify the

Fraction of organic carbon predicts labile desorption rates of chlorinated organic pollutants in laboratory-spiked geosorbents.

Science.gov (United States)

Ginsbach, Jake W; Killops, Kato L; Olsen, Robert M; Peterson, Brittney; Dunnivant, Frank M

2010-05-01

The resuspension of large volumes of sediments that are contaminated with chlorinated pollutants continues to threaten environmental quality and human health. Whereas kinetic models are more accurate for estimating the environmental impact of these events, their widespread use is substantially hampered by the need for costly, time-consuming, site-specific kinetics experiments. The present study investigated the development of a predictive model for desorption rates from easily measurable sorbent and pollutant properties by examining the relationship between the fraction of organic carbon (fOC) and labile release rates. Duplicate desorption measurements were performed on 46 unique combinations of pollutants and sorbents with fOC values ranging from 0.001 to 0.150. Labile desorption rate constants indicate that release rates predominantly depend upon the fOC in the geosorbent. Previous theoretical models, such as the macro-mesopore and organic matter (MOM) diffusion model, have predicted such a relationship but could not accurately predict the experimental rate constants collected in the present study. An empirical model was successfully developed to correlate the labile desorption rate constant (krap) to the fraction of organic material where log(krap)=0.291-0.785 . log(fOC). These results provide the first experimental evidence that kinetic pollution releases during resuspension events are governed by the fOC content in natural geosorbents. Copyright (c) 2010 SETAC.

Investigating the role of chemical and physical processes on organic aerosol modelling with CAMx in the Po Valley during a winter episode

Science.gov (United States)

Meroni, A.; Pirovano, G.; Gilardoni, S.; Lonati, G.; Colombi, C.; Gianelle, V.; Paglione, M.; Poluzzi, V.; Riva, G. M.; Toppetti, A.

2017-12-01

extent than CAMx-SOAP. SOA underestimation can be related to corresponding underestimation of either aging processes or precursor emissions. This indicates that improvements in the emission inventories for semi- and intermediate-volatility organic compounds are needed for further progress in this area. Finally, the comparison between modelled and observed SOA sources points out the urgency to include processing of OA in particle water phase into SOA formation mechanisms, to reconcile model results and observations.

Self-Organized Criticality Theory Model of Thermal Sandpile

International Nuclear Information System (INIS)

Peng Xiao-Dong; Qu Hong-Peng; Xu Jian-Qiang; Han Zui-Jiao

2015-01-01

A self-organized criticality model of a thermal sandpile is formulated for the first time to simulate the dynamic process with interaction between avalanche events on the fast time scale and diffusive transports on the slow time scale. The main characteristics of the model are that both particle and energy avalanches of sand grains are considered simultaneously. Properties of intermittent transport and improved confinement are analyzed in detail. The results imply that the intermittent phenomenon such as blobs in the low confinement mode as well as edge localized modes in the high confinement mode observed in tokamak experiments are not only determined by the edge plasma physics, but also affected by the core plasma dynamics. (paper)

Boundary Organizations: Creating a Unique Model for Sustained Dialog Among Scientists and Decison Makers About Long-term Change

Science.gov (United States)

Duncan, B.; Carter, H.; Knight, E.; Meyer, R.

2015-12-01

California Ocean Science Trust is a boundary organization formed by the state of California. We work across traditional boundaries between government, science, and communities to build trust and understanding in ocean and coastal science. We work closely with decision makers to understand their priority needs and identify opportunities for science to have a meaningful impact, and we engage scientists and other experts to compile and translate information into innovative products that help to meet those needs. This often sparks new collaborations that live well beyond the products themselves. Through this unique model, we are deepening relationships and facilitating an ongoing dialogue between scientists, decision-makers, and communities. The West Coast of the United States is already experiencing climate-driven changes in marine conditions at both large and small spatial scales. Decision makers are increasingly concerned with the potential threats that these changes pose to coastal communities, industries, ecosystems, and species. Detecting and understanding these multi-stressor changes requires consideration across scientific disciplines and management jurisdictions. Research and monitoring programs must reflect this new reality: they should be designed to connect with the decision makers who may use their results. In this presentation, I will share how we are drawing from the West Coast Ocean Acidification and Hypoxia Science Panel - an interdisciplinary team of scientists convened by Ocean Science Trust from California, Oregon, Washington, and British Columbia - to develop actionable guidance for long-term monitoring for long-term change. Building on our experiences working with the Panel, I will discuss the unique model that boundary organizations provide for sustained dialog across traditionally siloed disciplines and management regimes, and share best practices and lessons learned in working across those boundaries.

Modelling the Impact of Organization Structure and Whistle Blowers on Intra-Organizational Corruption Contagion

OpenAIRE

Nekovee, Maziar; Pinto, Jonathan

2017-01-01

We complement the rich conceptual work on organizational corruption by quantitatively modelling the spread of corruption within organizations. We systematically vary four organizational culture-related parameters, i.e., organization structure, location of bad apple, employees propensity to become corrupted (corruption probability), and number of whistle-blowers. Our simulation studies find that in organizations with flatter structures, corruption permeates the organization at a lower threshol...

Basic model for the prediction of 137Cs concentration in the organisms of detritus food chain

International Nuclear Information System (INIS)

Tateda, Yuzuru

1997-01-01

In order to predict 137 Cs concentrations in marine organisms for monitoring, a basic model for the prediction of nuclide levels in marine organisms of detritus food chain was studied. The equilibrated values of ( 137 Cs level in organism)/( 137 Cs level in seawater) derived from calculation agreed with the observed data, indicating validity of modeling conditions. The result of simulation by this basic model showed the following conclusions. 1) ''Ecological half-life'' of 137 Cs in organisms of food chain were 35 and 130 days for detritus feeder and benthic teleosts, respectively, indicating that there was no difference of the ecological half lives in organisms between in detritus food chain and in other food chains. 2) The 137 Cs concentration in organisms showed a peak at 18 and 100 days in detritus and detritus feeder, respectively, after the introduction of 137 Cs into environmental seawater. Their concentration ratios to 137 Cs peak level in seawater were within a range of 2.7-3.8, indicating insignificant difference in the response to 137 Cs change in seawater between in the organisms of detritus food chain and of other food chain. 3) The basic model studies makes it available that the prediction of 137 Cs level in organisms of food chain can be simulated in coastal ecosystem. (author)

Modeling the Current and Future Roles of Particulate Organic Nitrates in the Southeastern United States.

Science.gov (United States)

Pye, Havala O T; Luecken, Deborah J; Xu, Lu; Boyd, Christopher M; Ng, Nga L; Baker, Kirk R; Ayres, Benjamin R; Bash, Jesse O; Baumann, Karsten; Carter, William P L; Edgerton, Eric; Fry, Juliane L; Hutzell, William T; Schwede, Donna B; Shepson, Paul B

2015-12-15

Organic nitrates are an important aerosol constituent in locations where biogenic hydrocarbon emissions mix with anthropogenic NOx sources. While regional and global chemical transport models may include a representation of organic aerosol from monoterpene reactions with nitrate radicals (the primary source of particle-phase organic nitrates in the Southeast United States), secondary organic aerosol (SOA) models can underestimate yields. Furthermore, SOA parametrizations do not explicitly take into account organic nitrate compounds produced in the gas phase. In this work, we developed a coupled gas and aerosol system to describe the formation and subsequent aerosol-phase partitioning of organic nitrates from isoprene and monoterpenes with a focus on the Southeast United States. The concentrations of organic aerosol and gas-phase organic nitrates were improved when particulate organic nitrates were assumed to undergo rapid (τ = 3 h) pseudohydrolysis resulting in nitric acid and nonvolatile secondary organic aerosol. In addition, up to 60% of less oxidized-oxygenated organic aerosol (LO-OOA) could be accounted for via organic nitrate mediated chemistry during the Southern Oxidants and Aerosol Study (SOAS). A 25% reduction in nitrogen oxide (NO + NO2) emissions was predicted to cause a 9% reduction in organic aerosol for June 2013 SOAS conditions at Centreville, Alabama.

A mixing-model approach to quantifying sources of organic matter to salt marsh sediments

Science.gov (United States)

Bowles, K. M.; Meile, C. D.

2010-12-01

Salt marshes are highly productive ecosystems, where autochthonous production controls an intricate exchange of carbon and energy among organisms. The major sources of organic carbon to these systems include 1) autochthonous production by vascular plant matter, 2) import of allochthonous plant material, and 3) phytoplankton biomass. Quantifying the relative contribution of organic matter sources to a salt marsh is important for understanding the fate and transformation of organic carbon in these systems, which also impacts the timing and magnitude of carbon export to the coastal ocean. A common approach to quantify organic matter source contributions to mixtures is the use of linear mixing models. To estimate the relative contributions of endmember materials to total organic matter in the sediment, the problem is formulated as a constrained linear least-square problem. However, the type of data that is utilized in such mixing models, the uncertainties in endmember compositions and the temporal dynamics of non-conservative entitites can have varying affects on the results. Making use of a comprehensive data set that encompasses several endmember characteristics - including a yearlong degradation experiment - we study the impact of these factors on estimates of the origin of sedimentary organic carbon in a saltmarsh located in the SE United States. We first evaluate the sensitivity of linear mixing models to the type of data employed by analyzing a series of mixing models that utilize various combinations of parameters (i.e. endmember characteristics such as δ13COC, C/N ratios or lignin content). Next, we assess the importance of using more than the minimum number of parameters required to estimate endmember contributions to the total organic matter pool. Then, we quantify the impact of data uncertainty on the outcome of the analysis using Monte Carlo simulations and accounting for the uncertainty in endmember characteristics. Finally, as biogeochemical processes

Quasi-dynamic model for an organic Rankine cycle

International Nuclear Information System (INIS)

Bamgbopa, Musbaudeen O.; Uzgoren, Eray

2013-01-01

Highlights: • Study presents a simplified transient modeling approach for an ORC under variable heat input. • The ORC model is presented as a synthesis of its models of its sub-components. • The model is compared to benchmark numerical simulations and experimental data at different stages. - Abstract: When considering solar based thermal energy input to an organic Rankine cycle (ORC), intermittent nature of the heat input does not only adversely affect the power output but also it may prevent ORC to operate under steady state conditions. In order to identify reliability and efficiency of such systems, this paper presents a simplified transient modeling approach for an ORC operating under variable heat input. The approach considers that response of the system to heat input variations is mainly dictated by the evaporator. Consequently, overall system is assembled using dynamic models for the heat exchangers (evaporator and condenser) and static models of the pump and the expander. In addition, pressure drop within heat exchangers is neglected. The model is compared to benchmark numerical and experimental data showing that the underlying assumptions are reasonable for cases where thermal input varies in time. Furthermore, the model is studied on another configuration and mass flow rates of both the working fluid and hot water and hot water’s inlet temperature to the ORC unit are shown to have direct influence on the system’s response

76 FR 29249 - Medicare Program; Pioneer Accountable Care Organization Model: Request for Applications

Science.gov (United States)

2011-05-20

... Affordable Care Act, to test innovative payment and service delivery models that reduce spending under.... This Model will test the effectiveness of a combination of the following: Payment arrangements that...] Medicare Program; Pioneer Accountable Care Organization Model: Request for Applications AGENCY: Centers for...

Mechanical characterization of porcine abdominal organs.

Science.gov (United States)

Tamura, Atsutaka; Omori, Kiyoshi; Miki, Kazuo; Lee, Jong B; Yang, King H; King, Albert I

2002-11-01

Typical automotive related abdominal injuries occur due to contact with the rim of the steering wheel, seatbelt and armrest, however, the rate is less than in other body regions. When solid abdominal organs, such as the liver, kidneys and spleen are involved, the injury severity tends to be higher. Although sled and pendulum impact tests have been conducted using cadavers and animals, the mechanical properties and the tissue level injury tolerance of abdominal solid organs are not well characterized. These data are needed in the development of computer models, the improvement of current anthropometric test devices and the enhancement of our understanding of abdominal injury mechanisms. In this study, a series of experimental tests on solid abdominal organs was conducted using porcine liver, kidney and spleen specimens. Additionally, the injury tolerance of the solid organs was deduced from the experimental data.

Model and Algorithm for Substantiating Solutions for Organization of High-Rise Construction Project

Directory of Open Access Journals (Sweden)

Anisimov Vladimir

2018-01-01

Full Text Available In the paper the models and the algorithm for the optimal plan formation for the organization of the material and logistical processes of the high-rise construction project and their financial support are developed. The model is based on the representation of the optimization procedure in the form of a non-linear problem of discrete programming, which consists in minimizing the execution time of a set of interrelated works by a limited number of partially interchangeable performers while limiting the total cost of performing the work. The proposed model and algorithm are the basis for creating specific organization management methodologies for the high-rise construction project.

Terahertz double-exponential model for adsorption of volatile organic compounds in active carbon

International Nuclear Information System (INIS)

Zhu, Jing; Zhan, Honglei; Miao, Xinyang; Zhao, Kun; Zhou, Qiong

2017-01-01

In terms of the evaluation of the diffusion-controlled adsorption and diffused rate, a mathematical model was built on the basis of the double-exponential kinetics model and terahertz amplitude in this letter. The double-exponential-THz model described the two-step mechanism controlled by diffusion. A rapid step involves external and internal diffusion, followed by a slow step controlled by intraparticle diffusion. The concentration gradient of the molecules promoted the organic molecules rapidly diffusing to the external surface of adsorbent. The solute molecules then transferred across the liquid film. Intraparticle diffusion began and was determined by the molecular sizes, as well as affinities between organics and activated carbon. (paper)

Model and Algorithm for Substantiating Solutions for Organization of High-Rise Construction Project

Science.gov (United States)

Anisimov, Vladimir; Anisimov, Evgeniy; Chernysh, Anatoliy

2018-03-01

In the paper the models and the algorithm for the optimal plan formation for the organization of the material and logistical processes of the high-rise construction project and their financial support are developed. The model is based on the representation of the optimization procedure in the form of a non-linear problem of discrete programming, which consists in minimizing the execution time of a set of interrelated works by a limited number of partially interchangeable performers while limiting the total cost of performing the work. The proposed model and algorithm are the basis for creating specific organization management methodologies for the high-rise construction project.

Behavioral health and health care reform models: patient-centered medical home, health home, and accountable care organization.

Science.gov (United States)

Bao, Yuhua; Casalino, Lawrence P; Pincus, Harold Alan

2013-01-01

Discussions of health care delivery and payment reforms have largely been silent about how behavioral health could be incorporated into reform initiatives. This paper draws attention to four patient populations defined by the severity of their behavioral health conditions and insurance status. It discusses the potentials and limitations of three prominent models promoted by the Affordable Care Act to serve populations with behavioral health conditions: the Patient-Centered Medical Home, the Health Home initiative within Medicaid, and the Accountable Care Organization. To incorporate behavioral health into health reform, policymakers and practitioners may consider embedding in the reform efforts explicit tools-accountability measures and payment designs-to improve access to and quality of care for patients with behavioral health needs.

Model to the evolution of the organic matter in the pampa's soil. Relation with cultivation systems

International Nuclear Information System (INIS)

Andriulo, Adrian; Mary, Bruno; Guerif, Jerome; Balesdent, Jerome

1996-08-01

The objective of the work is to present a model to describe the evolution of the organic matter in soils of the Argentine's pampa. This model can be utilised to evaluate the evolution of the soil's fertility in the agricultural production at this moment. Three kinds of assay were done. The determination of organic carbon made possible to prove the Henin-Dupuis model and a derived model

Integration of systems biology with organs-on-chips to humanize therapeutic development

Science.gov (United States)

Edington, Collin D.; Cirit, Murat; Chen, Wen Li Kelly; Clark, Amanda M.; Wells, Alan; Trumper, David L.; Griffith, Linda G.

2017-02-01

"Mice are not little people" - a refrain becoming louder as the gaps between animal models and human disease become more apparent. At the same time, three emerging approaches are headed toward integration: powerful systems biology analysis of cell-cell and intracellular signaling networks in patient-derived samples; 3D tissue engineered models of human organ systems, often made from stem cells; and micro-fluidic and meso-fluidic devices that enable living systems to be sustained, perturbed and analyzed for weeks in culture. Integration of these rapidly moving fields has the potential to revolutionize development of therapeutics for complex, chronic diseases, including those that have weak genetic bases and substantial contributions from gene-environment interactions. Technical challenges in modeling complex diseases with "organs on chips" approaches include the need for relatively large tissue masses and organ-organ cross talk to capture systemic effects, such that current microfluidic formats often fail to capture the required scale and complexity for interconnected systems. These constraints drive development of new strategies for designing in vitro models, including perfusing organ models, as well as "mesofluidic" pumping and circulation in platforms connecting several organ systems, to achieve the appropriate physiological relevance.

Nonlinearities and transit times in soil organic matter models: new developments in the SoilR package

Science.gov (United States)

Sierra, Carlos; Müller, Markus

2016-04-01

SoilR is an R package for implementing diverse models representing soil organic matter dynamics. In previous releases of this package, we presented the implementation of linear first-order models with any number of pools as well as radiocarbon dynamics. We present here new improvements of the package regarding the possibility to implement models with nonlinear interactions among state variables and the possibility to calculate ages and transit times for nonlinear models with time dependencies. We show here examples on how to implement model structures with Michaelis-Menten terms for explicit microbial growth and resource use efficiency, and Langmuir isotherms for representing adsorption of organic matter to mineral surfaces. These nonlinear terms can be implemented for any number of organic matter pools, microbial functional groups, or mineralogy, depending on user's requirements. Through a simple example, we also show how transit times of organic matter in soils are controlled by the time-dependencies of the input terms.

Organ-on-a-Chip: New Platform for Biological Analysis

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Fan An

2015-01-01

Full Text Available Direct detection and analysis of biomolecules and cells in physiological microenvironment is urgently needed for fast evaluation of biology and pharmacy. The past several years have witnessed remarkable development opportunities in vitro organs and tissues models with multiple functions based on microfluidic devices, termed as “organ-on-a-chip”. Briefly speaking, it is a promising technology in rebuilding physiological functions of tissues and organs, featuring mammalian cell co-culture and artificial microenvironment created by microchannel networks. In this review, we summarized the advances in studies of heart-, vessel-, liver-, neuron-, kidney- and Multi-organs-on-a-chip, and discussed some noteworthy potential on-chip detection schemes.

Hydrologic-geochemical modeling needs for nuclear waste disposal systems performance assessments from the NEA perspective

International Nuclear Information System (INIS)

Muller, A.B.

1986-01-01

Credible scenarios for releases from high level nuclear waste repositories require radionuclides to be mobilized and transported by ground water. The capability to predict ground water flow velocities and directions as well as radionuclide concentrations in the flow system as a function of time are essential for assessing the performance of disposal systems. The first of these parameters can be estimated by hydrologic modeling while the concentrations can be predicted by geochemical modeling. The complementary use of empirical and phenomenological approaches to the geochemical modeling, when effectively coupled with hydrologic models can provide the tools needed for realistic performance assessment. An overview of the activities of the NEA in this area, with emphasis on the geochemical data bases (ISIRS for Ksub(d) data and the thermochemical data base critical review), rock/water interaction modeling (code development and short-courses), and hydrologic-geochemical code coupling (workshop and in-house activities) is presented in this paper from the perspective of probabilistic risk assessment needs. (author)

Modeling organic aerosol concentrations and properties during winter 2014 in the northwestern Mediterranean region

OpenAIRE

Chrit, Mounir; Sartelet, Karine; Sciare, Jean; Majdi, Marwa; Nicolas, José; Petit, Jean-Eudes; Dulac, François

2018-01-01

Organic aerosols are measured at a remote site (Ersa) on Corsica Cape in the northwestern Mediterranean basin during the Chemistry-Aerosol Mediterranean Experiment (CharMEx) winter campaign of 2014, when high organic concentrations from anthropogenic origin are observed. This work aims at representing the observed organic aerosol concentrations and properties (oxidation state) using the air-quality model Polyphemus with a surrogate approach for secondary organic aerosol (SOA) formation. Becau...

[Need and demand of kidneys for transplantation in Venezuela].

Science.gov (United States)

Milanés, C L; Bellorín-Font, E; Weisinger, J; Pernalete, N; Urbina, D; Paz-Martínez, V

1993-01-01

The number of cadaveric kidneys available for transplantation has become insufficient around the world. Despite concerted efforts, we have been unsuccessful in greatly improve the supply of organ donors, and consequently the number of end stage renal failure patients awaiting for kidney transplantation continues to increase. The primary objective of this paper is to quantify the need and supply of kidneys for transplant in Venezuela. An overview of the current level of kidney transplant activity in Venezuela is presented, observing that the activity with cadaveric donors had been predominant since 1983, although not to an optimal level. The annual activity in kidney transplant between 1989-1991 remained stable in 6 transplants/million people, but went sharply down to 4.6 in 1992. An estimate of the current need is around 10 donors/million people. This is in contrast with an effective donation rate of only 2.01 and 1.92 donors/million achieved in 1990 and 1991 respectively. The most frequent cause for no donation was the lack of familiar consent. Based on an analysis of the factors involved in the shortage of donor supply in Venezuela, we present some recommendations to increase the availability of cadaveric organ donors in the country. These measures include an improvement of education and legal regulation in the field of organ donation and transplantation, and following the Spanish model, the creation of a program of hospital transplant coordinators that can detect and evaluate potential organ donors as well as coordinate the logistical aspects of transplantation.

A Practical Model for Inbound Container Distribution Organization in Rail-Water Transhipping Terminal

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Jiahao Zhao

2018-01-01

Full Text Available Rail-water transportation is a crucial component of intermodal transportation system. Effective operation of rail-water intermodal transportation requires not only railway network and advanced handling equipment, but also scientific and reasonable transportation organization. In this paper, we first briefly introduced the coordination area and related concepts. Then an inbound container distribution organization model (ICDOM was established taking into account many factors such as transhipping capacity, network capacity, and importance of containers, in order to minimize the total container-hours in the coordination area, which reflects the efficiency of inbound container distribution organization. Additionally, a genetic algorithm (GA was developed and the optimization results were evaluated, which showed that both of the model and the algorithm were effective.

Executive Information Systems' Multidimensional Models

Directory of Open Access Journals (Sweden)

2007-01-01

Full Text Available Executive Information Systems are design to improve the quality of strategic level of management in organization through a new type of technology and several techniques for extracting, transforming, processing, integrating and presenting data in such a way that the organizational knowledge filters can easily associate with this data and turn it into information for the organization. These technologies are known as Business Intelligence Tools. But in order to build analytic reports for Executive Information Systems (EIS in an organization we need to design a multidimensional model based on the business model from the organization. This paper presents some multidimensional models that can be used in EIS development and propose a new model that is suitable for strategic business requests.