nils-herrmann/clean_scirepeval huggingface dataset:
Multicultural and Social Justice Counseling Competencies: Guidelines for the Counseling Profession.

In 2014, the Association for Multicultural Counseling and Development (AMCD) appointed a committee to revise the Multicultural Counseling Competencies developed by Sue, Arredondo, and McDavis in 1992 and operationalized by Arredondo et al. in 1996. This article reflects the updated competencies, titled the Multicultural and Social Justice Counseling Competencies (MSJCC; Ratts, Singh, Nassar McMillan, Butler, McCullough, 2015a) which were endorsed by AMCD on June 29, 2015, and by the American Counseling Association on July 20, 2015. A conceptual framework of the MSJCC visually depicts the relationships among the competencies' key constructs: multicultural and social justice praxis, quadrants, domains, and competencies. Implications are discussed. En 2014, la Asociacion para la Consejeria y el Desarrollo Multicultural (AMCD, en sus siglas en ingles) formo un comite para revisar las Competencias en Consejeria Multicultural desarrolladas por Sue, Arredondo y McDavis en 1992 y operacionalizadas por Arredondo et al. en 1996. Este articulo refleja las competencias actualizadas, denominadas Competencias en Consejeria Multicultural y de Justicia Social (MSJCC, en sus siglas en ingles; Ratts, Singh, Nassar McMillan, Butler, McCullough, 2015a) que fueron avaladas por la AMCD el 29 de junio de 2015 y por la Asociacion Americana de Consejeria el 20 de julio de 2015. Un marco conceptual de las MSJCC muestra visualmente las relaciones entre los constructos principales de las competencias: la praxis multicultural y en justicia social, los cuadrantes, dominios y competencias. Se discuten las implicaciones.
Analysis of consumer choice for low carbon technologies by using neural networks

Through a modelling based contribution, this paper critically reviews and explores the impact of low carbon heat policies to induce technological policy development. The paper interrogates an Irish government funded sustainable energy financed scheme (the 'Greener Homes Scheme' launched in 2006 and aimed at the deployment of low carbon technology in the residential sector. This paper analyses 31,560 technology installations supported under this scheme and it utilises artificial neural network modelling as a method of better analysing and understanding the effects, relationships and dependencies that influence consumer decision making and responses to new technological policies. It is responding to a perceived limited understanding of the variables that influence a wider adoption of low carbon technologies and the opportunities and potential that could result in a wider appreciation of the broader impact of market barriers. It builds up on the artificial neural networks modelling work, explores its application in pattern recognition and interprets its influence in predicting customer behaviour. The paper provides an enhanced understanding of the various factors that influence consumer selection of one low carbon technology over another. Evaluation of the results revealed that the developed artificial neural network model (generic 7 6 4 neurons layered architecture) is the most appropriate tool and suitable network in predicting indices, based on certain social conditions, on the choice of certain low carbon technologies.
A Review of Mathematical Models for Muscular Dystrophy: A Systems Biology Approach

Muscular dystrophy (MD) describes generalized progressive muscular weakness due to the wasting of muscle fibers. The progression of the disease is affected by known immunological and mechanical factors, and possibly other unknown mechanisms. These dynamics have begun to be elucidated in the last two decades. This article reviews mathematical models of MD that characterize molecular and cellular components implicated in MD progression. A biological background for these processes is also presented. Molecular effectors that contribute to MD include mitochondrial bioenergetics and genetic factors; both drive cellular metabolism, communication and signaling. These molecular events leave cells vulnerable to mechanical stress which can activate an immunological cascade that weakens cells and surrounding tissues. This review article lays the foundation for a systems biology approach to study MD progression.
Joint part of speech and dependency projection from multiple sources
Venue: ACL

Most previous work on annotation projection has been limited to a subset of IndoEuropean languages, using only a single source language, and projecting annotation for one task at a time. In contrast, we present an Integer Linear Programming (ILP) algorithm that simultaneously projects annotation for multiple tasks from multiple source languages, relying on parallel corpora available for hundreds of languages. When training POS taggers and dependency parsers on jointly projected POS tags and syntactic dependencies using our algorithm, we obtain better performance than a standard approach on 20/23 languages using one parallel corpus; and 18/27 languages using another.
Noncanonical autophagy inhibits the autoinflammatory, lupus like response to dying cells
Venue: Nature

Defects in clearance of dying cells have been proposed to underlie the pathogenesis of systemic lupus erythematosus (SLE) Mice lacking molecules associated with dying cell clearance develop SLE like disease, and phagocytes from patients with SLE often display defective clearance and increased inflammatory cytokine production when exposed to dying cells in vitro. Previously, we and others described a form of noncanonical autophagy known as LC3 associated phagocytosis (LAP) in which phagosomes containing engulfed particles, including dying cells, recruit elements of the autophagy pathway to facilitate maturation of phagosomes and digestion of their contents. Genome wide association studies have identified polymorphisms in the Atg5 (ref. 8) and possibly Atg7 (ref. 9) genes, involved in both canonical autophagy and LAP, as markers of a predisposition for SLE. Here we describe the consequences of defective LAP in vivo. Mice lacking any of several components of the LAP pathway show increased serum levels of inflammatory cytokines and autoantibodies, glomerular immune complex deposition, and evidence of kidney damage. When dying cells are injected into LAP deficient mice, they are engulfed but not efficiently degraded and trigger acute elevation of pro inflammatory cytokines but not anti inflammatory interleukin (IL) 10. Repeated injection of dying cells into LAP deficient, but not LAP sufficient, mice accelerated the development of SLE like disease, including increased serum levels of autoantibodies. By contrast, mice deficient in genes required for canonical autophagy but not LAP do not display defective dying cell clearance, inflammatory cytokine production, or SLE like disease, and, like wild type mice, produce IL 10 in response to dying cells. Therefore, defects in LAP, rather than canonical autophagy, can cause SLE like phenomena, and may contribute to the pathogenesis of SLE.
POLYANILINE MULTI COATED ONTO POLYVINYLIDENE FLUORIDE AND SILICON ELASTOMER FOR PRESSURE FILTRATION MEMBRANES

In this study, silicone rubbers were used to achieve the desire absorbing properties of PANI onto polyvinylidene fluoride (PVDF) microporous support. Poly (methyl vinyl ether alt maleic acid) (PMVEA) polymeric acid was used as acid dopant to enhance the membrane filtration performance. Initially PVDF micro porous support was dip coated with silicone rubber elastomer solution followed by deposition with PANI by in situ chemical oxidative polymerisation techniques using two compartment cell in presence of PMVEA and ammonium persulfate as the oxidizing agent. The PANI multilayer composite membranes were characterized by gravimetric for PANI content measurement namely Scanning Electron Microscope (SEM) Fourier Transform Infrared (FTIR) Differential Scanning Calorimetry (DSC) and contact angle. The PANI content was found to be more than 30 SEM, FTIR and DSC analysis have confirmed the presence of PANI onto the multilayers membrane while the contact angle of the membrane in presence of high loading PANI was 0 o indicating the super hydrophilicity than without the PANI presence of 78.8 The pressure filtration of PANI multilayer composite filtration membrane with a range of polyethylene glycols at different molecular weights was obtained based on the high flux up to 904.11 L/m.h and reasonable molecular weight cut off of below 20,000 g/mol were obtained for the synthesized membrane.
EFFECTIVENESS EVALUATION OF SEARCH IN INFORMATION SYSTEMS WITH CONSOLIDATED INFORMATION

To evaluate the effectiveness of information retrieval there is proposed to share the found documents on pertinent, relevant and irrelevant. Search Performance is ratio to determine the number of pertinent and relevant documents to the number of irrelevant documents and search engine properties have been submitted by the coefficient. The goal of this paper is to develop integrated criterion of evaluating the effectiveness of information retrieval on the results of the issuance of consolidated information systems. The concept of consolidated informationis given. The method of evaluating the effectiveness of information retrieval is built. It demonstrates the usage of the division found and published documents on pertinent, relevant and irrelevant. There is given integral indicator of the relevance of the document search query that takes into account the negative and positive features. Evaluation of effectiveness presented as the total value of the different components. The experiment was performed on the basis of information search in one or several search machines and information on the various search engines for one set of keywords. The approach to building assessment information retrieval is of practical importance because quantitative values obtained local assessments give grounds to optimize the set of keywords and determine the most appropriate information collection and search engines.
Cascading failures and transient stability experiment analysis in power grid security
Venue: 2016 IEEE Power Energy Society Innovative Smart Grid Technologies Conference (ISGT)

The modern electric power grid is one of the most complex networks, and its highly interconnected nature increases vulnerability when transmitting power vast distances from generation to consumption. For instance, during power grid contingencies (e.g. cyber/physical attacks on transmission lines or generators) this interconnection nature accelerates the propagation of failures throughout the system, and causes cascading failure blackouts. Thus, finding the most vulnerable components (e.g. buses or generators) is important for power grid defense. In this paper, a new definition of load has been proposed by taking power flow into consideration. The self organizing map (SOM) based approach is proposed to cluster the nodes (i.e. buses) in IEEE 39 bus benchmark. The most vulnerable node in each cluster is determined based on its load information to form an initial "victim set" We use percentage of failure (PoF) to compare the performance of proposed SOM based approach and the traditional load based approach during cascading failure process. In addition, the transient stability of the power system is further studied using both approaches. Our results show that the SOM based approach of victim selection is more efficient than traditional load based strategy.
Comparative studies of power grid security with network connectivity and power flow information using unsupervised learning
Venue: 2016 International Joint Conference on Neural Networks (IJCNN)

The modern electric power grid has become highly integrated in order to increase reliability of power transmission from the generating units to end consumers. This integrated nature and its upgrade toward an intelligent smart grid make the power grid vulnerable when facing cyber or physical attacks as well as intentional attacks. Therefore, determining the most vulnerable components (e.g. buses or generators) is critically important for power grid defense. In this paper, a new definition of load is proposed by taking power flow into consideration in comparison with the load definition based on degree or network connectivity. Unsupervised learning techniques (e.g. K means algorithm and self organizing map (SOM) are introduced to cluster the nodes (i.e. buses) in IEEE 39 bus and IEEE 57 bus benchmarks. Then most vulnerable node in each cluster is determined based on their load information to form initial victim set. We use percentage of failure (PoF) to compare the performance of clustering based approach and traditional load based approach during cascading failure process. With the simulation results, the unsupervised learning (clustering based) approaches are more efficient in finding the most vulnerable nodes and our proposed definition of load is relatively useful in studying power grid security.
JAPAN'S SEARCH FOR A POLITICAL ROLE

Japan. However, Tokyo's contribution to regional security in Southeast Asia will not be underpinned by a direct military presence but by a substantial economic and an increasing political role. This troika is operating in an area where many regional states have enjoyed impressive economic growth, progress in nation building, enhanced military capabilities, the development and expansion of a regional grouping, ASEAN (Association of Southeast Asian Nations) and a strong desire not to be dominated by any regional or extra regional powers. Tokyo's post Cold War attempts to exercise political initiatives in Southeast Asia are framed by its relationship with the United States and China, the favour able or negative outlook of the regional states to an increased Japanese role, and the domestic politics of Japan. The country seeks a higher political profile within the bilateral framework of the U.S. Japan Alliance, and multilateral regional and international organizations. Such a non unilateral approach is more acceptable to the United States, China, the Southeast Asian states and Japanese public opinion. This article addresses the following questions. WTiy does Japan seek to be an increasingly important political actor in Southeast Asia? In what ways have the end of the Cold War directly or indirectly provided Tokyo the opportunities to play a regional political role? What political role is Japan adopting in the region? What are the domestic and international considerations to Tokyo's ambitions to play a larger political role in the region?
DIMENSIONS OF PERCEIVED RISK AMONG STUDENTS OF HIGH EDUCATIONAL INSTITUTES TOWARDS ONLINE SHOPPING IN PUNJAB

The main objective of the article is to find out various dimensions of perceived risk of online shopping among students of high educational institutes of Punjab. The population of the state consists of online shoppers of universities of four cities Ludhiana, Jalandhar,Patiala and Amritsar. Respondents were selected from different genders, age groups, income groups, qualifications and occupations having online shopping experience. A prestructured questionnaire was used with five point likert rating scale to measure various dimensions of online buyers of four cities. Data from respondents was collected through convenience sampling method. Survey of the respondents was also done regarding ambiguity in questionnaire. Reliability Analysis was conducted by Cronbach alpha test. Mean, standard deviation, and z test were used in this study as statistical techniques for analyzing collected data. The key findings are that significant amount of various dimensions of perceived risk are present among student of high educational students of Punjab.
Updating origin destination matrices with aggregated data of GPS traces

The practice of estimating origin destination (OD) demand usually requires large scale travel surveys. To reduce the cost and time spent on surveys, individual trajectory data obtained from mobile devices has been used as an alternative dataset since the last two decades for OD estimation but also constrained in practice in some countries. To estimate OD matrices while protecting privacy, this study uses aggregated data of mobile phone traces to estimate work related trips. The proposed approach is a sequential updater based on the maximum entropy principle. Trip production and attraction are firstly calculated by a non linear programming problem followed by a matrix fitting problem to distribute trips to each OD pair. Numerical study shows that updated values are much closer to the synthesize real values than the referred ones. The case study in Tokyo further demonstrates that the proposed updating approach can track the change of travel pattern.
Supply chain risk analysis with mean variance models: a technical review
Venue: Ann. Oper. Res.

Pioneered by Nobel laureate Harry Markowitz in the 1950s, the mean variance (MV) formulation is a fundamental theory for risk management in finance. Over the past decades, there is a growing popularity of applying this ground breaking theory in analyzing stochastic supply chain management problems. Nowadays, there is no doubt that the mean variance (MV) theory is a well proven approach for conducting risk analysis in stochastic supply chain operational models. In view of the growing importance of MV approach in supply chain management, we review a selection of related papers in the literature that focus on MV analytical models. By classifying the literature into three major areas, namely, single echelon problems, multi echelon supply chain problems, and supply chain problems with information updating, we derive insights into the current state of knowledge in each area and identify some associated challenges with a discussion of some specific models. We also suggest future research directions on topics such as information asymmetry, supply networks, and boundedly rational agents, etc. In conclusion, this paper provides up to date information which helps both academicians and practitioners to better understand the development of MV models for supply chain risk analysis.
Mean variance analysis of sourcing decision under disruption risk
Venue: Eur. J. Oper. Res.

This study considers a mean variance (MV) framework for managing disruption risk in a two echelon supply chain with a risk averse buyer and multiple unreliable suppliers under newsvendor (NV) setting. An MV objective function is designed to maximize the buyer's expected profit while minimizing its variance. Study of the structural property of the problem proves the existence of a global maxima and a set of efficient portfolios consisting of dominating mean variance pairs. We demonstrate the effect of model parameters through comparative statics analysis. An algorithm is developed to overcome the computational complexity of the higher dimensional problem. Numerical studies on model behavior show that the proposed algorithm gives the exact optimal solution while being tractable.
Can Serum Albumin Level and Total Lymphocyte Count be Surrogates for Malnutrition to Predict Wound Complications After Total Knee Arthroplasty?
Venue: The Journal of arthroplasty

Although the serum albumin level and total lymphocyte count (TLC) have been reported as valid and reliable markers for defining malnutrition, their cutoff levels and predictive values for wound complications in patients undergoing total knee arthroplasty (TKA) remain questionable.  A total of 3169 TKAs performed between April 2003 and December 2013 were retrospectively reviewed. We determined the prevalence of malnutrition on applying different definitions, with various cutoff values of serum albumin and TLC and analyzed the variations in outcome. The differences between groups with and without malnutrition in terms of functional outcome and complications were determined using Student's t test and analysis of variance. Multivariate logistic regression analysis was conducted to identify the independent risk factors.  Among all the patients (N 3169) the serum albumin level and TLC varied widely, with means of 4.1 g/dL and 2189 cells/mm(3) respectively. The prevalence of malnutrition (21% as per the conventional definition (serum albumin level <3.5 g/dL or a serum TLC <1500 cells/mm(3) dropped to only 1.6% when malnutrition was defined as serum albumin <3.5 g/dL "and" TLC <1500/mm(3) indicating a very small overlap between the 2 markers. No differences were observed between 2 groups in functional outcomes and incidence of wound complications.  Our findings call into question the values of serum albumin level and TLC as a surrogate of malnutrition for predicting wound complications after TKA.
Malnutrition in Alzheimer's Disease, Dementia with Lewy Bodies, and Frontotemporal Lobar Degeneration: Comparison Using Serum Albumin, Total Protein, and Hemoglobin Level
Venue: PloS one

Malnutrition among dementia patients is an important issue. However, the biochemical markers of malnutrition have not been well studied in this population. The purpose of this study was to compare biochemical blood markers among patients with Alzheimer's disease (AD) dementia with Lewy bodies (DLB) and frontotemporal lobar degeneration (FTLD) A total of 339 dementia outpatients and their family caregivers participated in this study. Low serum albumin was 7.2 times more prevalent among patients with DLB and 10.1 times more prevalent among those with FTLD than among those with AD, with adjustment for age. Low hemoglobin was 9.1 times more common in female DLB patients than in female AD patients, with adjustment for age. The levels of biochemical markers were not significantly correlated with cognitive function. Family caregivers of patients with low total protein, low albumin, or low hemoglobin were asked if the patients had loss of weight or appetite; 96.4% reported no loss of weight or appetite. In conclusion, nutritional status was worse in patients with DLB and FTLD than in those with AD. A multidimensional approach, including blood testing, is needed to assess malnutrition in patients with dementia.
Anode Baking: The Underestimated Human Aspect

In the framework of carbon plant auditing R&D Carbon Ltd. had the opportunity to investigate the operation of many different anode bake furnaces. As a striking result significant differences in the performance of bake furnaces with similar design were identified. Avoidable direct annual losses of one million USD and more per 100.000 tons of baking capacity have been identified. These direct costs do not take any indirect losses in the smelter into account, which result from substandard anode quality and which can easily be two to three times higher than the direct losses.
Specific Energy Consumption in Anode Bake Furnaces

For anode baking the specific energy consumption is one of the important cost elements. When evaluating a new furnace, guarantees regarding specific energy consumption are always prime questions that have to be answered by the supplier of the process control system. However, specific energy consumption is a function of numerous variables of which most are beyond the influence of the process control system. This paper discusses the main factors which influence the specific energy consumption for anode bake furnaces.