nils-herrmann/clean_scirepeval huggingface dataset:
GSJ: Volume 8, Issue 6, June 2020, Online: ISSN xxxx xxxx
Year: 2020

Domestic violence is a forceful activity done against the will of a person physically, verbally, sexually or emotionally that might harm the person in one or several ways done by the member of belonging family. It not only results in physical harm but may also create mental disorders among the victim. purpose of the study was to assess the prevalence and awareness regarding contributing factors of domestic violence among married women. Cross sectional descriptive study was conducted by using interview with structured nepali version questionaire. study was conducted at Kageshori manohara 7 Kathmandu. Sample size was 100 and sampling technique was non probability purposive technique. 8 10 respondents were interviewed in a day. Based on the research study, 89% have answered on forceful custody of someone against their will as meaning of domestic violence. The prevalence of domestic violence in the research setting was found to be 2 whereas 59% respondents had answered alcoholism as the contributing factors of domestic violence. The mean awareness about domestic violence is 24.65.Based on the study, it was concluded that majority of women answered alcoholism as a contributing factor of domestic violence. Also, all the respondents have answered that women suffers more from domestic violence than men. GSJ: Volume 8, Issue 6, June 2020 ISSN 2320 9186 2143 GSJ(c) 2020 www.globalscientificjournal.com
Summary of respiratory rehabilitation and physical therapy guidelines for patients with COVID 19 based on recommendations of World Confederation for Physical Therapy and National Association of Physical Therapy
Venue: Journal of physical therapy science
Year: 2020

To summarize the existing official guidelines issued by the World Confederation for Physical Therapy and Associations of Physical Therapy in various countries and to clarify the recommended methods of respiratory rehabilitation and physiotherapy for patients in different stages of the coronavirus disease of 2019 (COVID 19)  An introductory literature search was conducted using the keywords "COVID 19" "respiratory rehabilitation" "physical therapy" and others in the database of the Association of Physical Therapy.  Using 12 coronavirus disease 2019 rehabilitation related articles, we summarized data on physical therapy (PT) evaluation; treatment; indications; contraindications; and termination indicators for patients in acute, stable, and post discharge stages.  PT for COVID 19 patients with coronavirus disease 2019 should be formulated according to the stage of the disease and condition of the patients.
Evaluating the predictive power of multivariate tensor based morphometry in Alzheimer's disease progression via convex fused sparse group Lasso
Venue: Medical Imaging
Year: 2014

Prediction of Alzheimers disease (AD) progression based on baseline measures allows us to understand disease progression and has implications in decisions concerning treatment strategy. To this end we combine a predictive multi task machine learning method1 with novel MR based multivariate morphometric surface map of the hippocampus2 to predict future cognitive scores of patients. Previous work by Zhou et  has shown that a multi task learning framework that performs prediction of all future time points (or tasks) simultaneously can be used to encode both sparsity as well as temporal smoothness. They showed that this can be used in predicting cognitive outcomes of Alzheimers Disease Neuroimaging Initiative (ADNI) subjects based on FreeSurfer based baseline MRI features, MMSE score demographic information and ApoE status. Whilst volumetric information may hold generalized information on brain status, we hypothesized that hippocampus specific information may be more useful in predictive modeling of AD. To this end, we applied Shi et al.2s recently developed multivariate tensor based (mTBM) parametric surface analysis method to extract features from the hippocampal surface. We show that by combining the power of the multi task framework with the sensitivity of mTBM features of the hippocampus surface, we are able to improve significantly improve predictive performance of ADAS cognitive scores 6, 12, 24, 36 and 48 months from baseline.
Capabilities, Transaction Costs, and Firm Boundaries: An Integrative Theory
Year: 2011

While the literature on firm boundaries has been greatly influenced by transaction cost economics, strategy scholars often emphasize the importance of capabilities considerations in these decisions. This has led to a debate that, we suggest, has generated more heat than light. We argue that the two sets of considerations are in fact so intertwined dynamically that treating them as independent, competitive explanations is fundamentally misleading. We offer a theoretical synthesis of transaction cost and capabilities approaches to firm boundaries that seeks to overcome each approach's limitations, and provides a unified and logically consistent understanding of boundary decisions.
Barriers of access to care in a managed competition model: lessons from Colombia
Venue: BMC health services research
Year: 2010

BackgroundThe health sector reform in Colombia, initiated by Law 100 (1993) that introduced a managed competition model, is generally presented as a successful experience of improving access to care through a health insurance regulated market. The study's objective is to improve our understanding of the factors influencing access to the continuum of care in the Colombian managed competition model, from the social actors' point of view.MethodsAn exploratory, descriptive interpretative qualitative study was carried out, based on case studies of four healthcare networks in rural and urban areas. Individual semi structured interviews were conducted to a three stage theoretical sample: I) cases, II) providers and III) informants: insured and uninsured users (35) health professionals (51) administrative personnel (20) and providers' (18) and insurers' (10) managers. Narrative content analysis was conducted; segmented by cases, informant's groups and themes.ResultsAccess, particularly to secondary care, is perceived as complex due to four groups of obstacles with synergetic effects: segmented insurance design with insufficient services covered; insurers' managed care and purchasing mechanisms; providers' networks structural and organizational limitations; and, poor living conditions. Insurers' and providers' values based on economic profit permeate all factors. Variations became apparent between the two geographical areas and insurance schemes. In the urban areas barriers related to market functioning predominate, whereas in the rural areas structural deficiencies in health services are linked to insufficient public funding. While financial obstacles are dominant in the subsidized regime, in the contributory scheme supply shortage prevails, related to insufficient private investment.ConclusionsThe results show how in the Colombian healthcare system structural and organizational barriers to care access, that are common in developing countries, are widened by both the insurers' use of mechanisms that limit the utilization and the public healthcare providers' change of behavior in a competition environment. They provide evidence to question the promotion of the managed competition model in low and middle income countries.
From the tower to the pews: A call for academic theology to re engage with the local context
Venue: HTS Teologiese Studies Theological Studies
Year: 2019

This article assesses the shortcomings and the disconnectedness of the current academic theological education in South Africa. It offers a brief history to provide a guiding principle for academic theology. It then proceeds to show the current disconnect and challenges between academic theology and the church, with its primary focus on academic theology. Drawing on original research and reflection on these responses, commodification, euro centricity and rankings are seen as three traps of modern academics. These three areas have distorted the true content of theological reflection. This article thus clearly highlights the current problem and motivates the need for academic theology and the local church to reconnect with each other. With this article focussing on academic institutions, it calls for the academy to change not in nature but in content, and to draw its content for the local context.
Structural and functional connectomes in people with multiple sclerosis
Venue: medRxiv
Year: 2020

One of the challenges in multiple sclerosis is that lesion volume does not correlate with symptom severity. Advanced techniques such as diffusion and functional MRI allow imaging of the brain's connectivity networks, which may provide better insight as to brain behavior relationships in impairment and compensation in multiple sclerosis. We aim to build machine learning models based on structural and functional connectomes to classify a) healthy controls versus people with multiple sclerosis and b) impaired versus not impaired people with multiple sclerosis. We also aim to identify the most important imaging modality for both classification tasks, and, finally, to investigate which brain regions' connectome measures contribute most to the classification. Fifteen healthy controls (age=43.6 8.6, 53% female) and 76 people with multiple sclerosis (age: 45.2 11.4 years, 65% female, disease duration: 12.2 7.2 years) were included. Twenty three people with multiple sclerosis were considered impaired, with an Expanded Disability Status Scale of 2 or higher. Subjects underwent MRI scans that included anatomical, diffusion and resting state functional MRI. Random Forest models were constructed using structural and static/dynamic functional connectome measures independently; single modality models were then combined for an ensemble prediction. The accuracy of the models was assessed by the area under the receiver operating curve. Models that included structural connectomes significantly outperformed others when classifying healthy controls and people with multiple sclerosis, having a median accuracy of 0.86 (p value<0.05, corrected) Models that included dynamic functional connectome metrics significantly outperformed others when distinguishing people with multiple sclerosis by impairment level, having a median accuracy of 0.63 (p value<0.05, corrected) Structural connectivity between subcortical, somatomotor, and visual networks was most damaged by multiple sclerosis. For the classification of patients with multiple sclerosis into impairment severity groups, the most discriminatory metric was dwell time in a dynamic functional connectome state characterized by strong connectivity between and among somatomotor and visual networks. These results suggest that damage to the structural connectome, particularly in the subcortical, visual, and somatomotor networks, is a hallmark of multiple sclerosis, and, furthermore, that increased functional coordination between these same regions may be related to severity of motor disability in multiple sclerosis. The use of multi modal connectome imaging has the potential to shed light on mechanisms of disease and compensation in multiple sclerosis, thus enabling more accurate prognoses and possibly the development of novel therapeutics.
Security for Cyber Physical Systems
Venue: MEMICS
Year: 2012

Cyber physical systems are characterized by an IT infrastructure controlling effects in the physical world. Attacks are intentional actions trying to cause undesired effects in the physical world. We examine to which extent traditional IT security techniques can protect against attacks on cyber physical systems and which additional measures could be deployed to strengthen their security. Properties relevant in this context are the veracity and plausibility of the data being processed.
Text Based Network Industries and Endogenous Product Differentiation
Year: 2010

We study how firms differ from their competitors using new time varying measures of product similarity based on text based analysis of firm 10 K product descriptions. This year by year set of product similarity measures allows us to generate a new set of industries in which firms can have their own distinct set of competitors. Our new sets of competitors explain specific discussion of high competition, rivals identified by managers as peer firms, and changes to industry competitors following exogenous industry shocks. We also find evidence that firm R&D and advertising are associated with subsequent differentiation from competitors, consistent with theories of endogenous product differentiation.
Path Planning of UGV using Sampling Based Method and PSO in 2D Map Configuration: A Comparative Analysis
Venue: 2020 International Conference on Emerging Frontiers in Electrical and Electronic Technologies (ICEFEET)
Year: 2020

The navigation system of an unmanned ground vehicle is a core research area in the field of robotics. It must be robust enough to guide UGV from source to destination through an obstacle free path. Nowadays many research are going on path planning algorithms both in a static and dynamic environment. In this paper a comparative work has been presented between sampling based technique algorithm (PRM, bidirectional RRT) and particle swarm optimization algorithm applied in a static simple and complex environment. Sampling based techniques use random sampling for the selection of points in the configuration space while checking not to be in obstacle configuration. The results showed that both types of techniques generated obstacle free path in different periods. The time required by sampling based technique is relatively less than the PSO technique. In sampling based technique the path has vertexes at the sampled points while in PSO path consists of smooth curve which can be changed in the algorithm.
Direct numerical simulation of ignition front propagation in a constant volume with temperature inhomogeneities: I. Fundamental analysis and diagnostics
Year: 2006

The influence of thermal stratification on autoignition at constant volume and high pressure is studied by direct numerical simulation (DNS) with detailed hydrogen/air chemistry with a view to providing better understanding and modeling of combustion processes in homogeneous charge compression ignition engines. Numerical diagnostics are developed to analyze the mode of combustion and the dependence of overall ignition progress on initial mixture conditions. The roles of dissipation of heat and mass are divided conceptually into transport within ignition fronts and passive scalar dissipation, which modifies the statistics of the preignition temperature field. Transport within ignition fronts is analyzed by monitoring the propagation speed of ignition fronts using the displacement speed of a scalar that tracks the location of maximum heat release rate. The prevalence of deflagrative versus spontaneous ignition front propagation is found to depend on the local temperature gradient, and may be identified by the ratio of the instantaneous front speed to the laminar deflagration speed. The significance of passive scalar mixing is examined using a mixing timescale based on enthalpy fluctuations. Finally, the predictions of the multizone modeling strategy are compared with the DNS, and the results are explained using the diagnostics developed.
exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformer Models
Venue: ACL
Year: 2020

Large Transformer based language models can route and reshape complex information via their multi headed attention mechanism. Although the attention never receives explicit supervision, it can exhibit recognizable patterns following linguistic or positional information. Analyzing the learned representations and attentions is paramount to furthering our understanding of the inner workings of these models. However, analyses have to catch up with the rapid release of new models and the growing diversity of investigation techniques. To support analysis for a wide variety of models, we introduce exBERT, a tool to help humans conduct flexible, interactive investigations and formulate hypotheses for the model internal reasoning process. exBERT provides insights into the meaning of the contextual representations and attention by matching a human specified input to similar contexts in large annotated datasets. By aggregating the annotations of the matched contexts, exBERT can quickly replicate findings from literature and extend them to previously not analyzed models.
Novel method for optimal placement of power system stabilizer using principal component analysis
Venue: 2013 IEEE Industry Applications Society Annual Meeting
Year: 2013

In order to improve system stability, power system damping controllers such as power system stabilizers (PSS) and FACTS (Flexible AC Transmission Systems) based stabilizers are often used to damp oscillations and increase damping of the power system oscillatory modes. However, the optimal placement of PSS is extremely critical due to cost involved and the need for finding the most appropriate damping requirements and location for a given system. In this paper, we propose a novel method for optimal placement of power system stabilizer using principal component analysis. The proposed approach provides full ranked optimal conditions for the PSS placement as opposed to other work reported in the literature. Three test cases are performed to evaluate the proposed concept and it has been found that the proposed architecture outperforms the current methodologies reported so far.
Estudio Piloto sobre los Conocimientos mas Importantes para los Ingenieros de Software en Mexico
Year: 2015

La ingenieria del software es una actividad catalogada como intensiva en el el uso del conocimiento. Esto ha llevado a diversos esfuerzos por determinar las areas de conocimiento que deben dominar los ingenieros de software. Aunque existen estudios en el plano internacional en los que se han indagado las necesidades de conocimiento de los profesionistas del area de la ingenieria de software, no encontramos en la literatura estudios realizados en nuestro pais al respecto. Por esta razon se llevo a cabo un estudio mediante el levantamiento de una encuesta entre ingenieros de software, para determinar cuales son los conocimientos que actualmente requieren en su entorno de trabajo para cumplir con los proyectos que demandan las empresas en la regian centro de Sonora. Los principales resultados de este trabajo, presentados en este articulo, muestran una alta importancia de las habilidades blandas.
Synergistic effects of PRIMA 1Met (APR 246) and 5 azacitidine in TP53 mutated myelodysplastic syndromes and acute myeloid leukemia
Venue: Haematologica
Year: 2019

Myelodysplastic syndromes and acute myeloid leukemia with TP53 mutations are characterized by frequent relapses, poor or short responses, and poor survival with the currently available therapies including chemotherapy and 5 azacitidine (AZA) PRIMA 1Met(APR 246,APR) is a methylated derivative of PRIMA 1, which induces apoptosis in human tumor cells through restoration of the transcriptional transactivation function of mutant p53. Here we show that low doses of APR on its own or in combination with AZA reactivate the p53 pathway and induce an apoptosis program. Functionally, we demonstrate that APR exerts these activities on its own and that it synergizes with AZA in TP53 mutated myelodysplastic syndromes (MDS)/acute myeloid leukemia (AML) cell lines and in TP53 mutated primary cells from MDS/AML patients. Low doses of APR on its own or in combination with AZA also show significant efficacy in vivo. Lastly, using transcriptomic analysis, we found that the APR AZA synergy was mediated by downregulation of the FLT3 pathway in drug treated cells. Activation of the FLT3 pathway by FLT3 ligand reversed the inhibition of cell proliferation by APR AZA. These data suggest that TP53 mutated MDS/AML may be better targeted by the addition of APR 246 to conventional treatments.
The Effect of the Fear of COVID 19 on Healthcare Professionals' Psychological Adjustment Skills: Mediating Role of Experiential Avoidance and Psychological Resilience
Venue: Frontiers in Psychology
Year: 2020

As the COVID 19 outbreak is rapidly spreading all over the world, it's secondary consequences will negatively affect both societies and individuals. The target group, expected to be exposed to the secondary negative consequences most intensely during the pandemic process and afterward, is undoubtedly the healthcare professionals. In this research, the impact of the fear that healthcare professionals in Turkey developed against the outbreak of COVID 19 on their psychological adjustment skills is examined, and in this context, the mediating role of experiential avoidance and psychological resilience is examined. In this context, an answer was sought for the question "Does experiential avoidance and psychological resilience have a mediating role in the impact of COVID 19 fear on psychological adjustment skills of healthcare professionals?" The research was carried out with a total of 370 healthcare professionals reached via online data collection method. Structural equation modeling was used in the data analysis process, and as a result, it was determined that the fear of COVID 19 had a negative effect on the psychological adjustment in healthcare professionals; however, psychological resilience was found to have a protective function that limits this effect, and experiential avoidance has a risk factor that aggravates this effect. Findings obtained from the research are discussed in the context of the literature.
Coupled Analysis of Thermo Fluid Flexible Multi body Dynamics of a Two Dimensional Engine Nozzle
Year: 2017

Various components of an engine nozzle are modeled as flexible multi body components that are operated under high temperature and pressure. In this paper, in order to predict complex behavior of an engine nozzle, thermo fluid flexible multibody dynamics coupled analysis framework was developed. Temperature and pressure on the nozzle wall were obtained by the steady state flow analysis for a two dimensional nozzle. The pressure and temperature dependent material properties were delivered to the flexible multi body dynamics analysis. Then the deflection and strain distribution for a nozzle configuration was obtained. Heat conduction and thermal analyses were done using MSC.NASTRAN. The present framework was validated for a simple nozzle configuration by using a one way coupled analysis. A two way coupled analysis was also performed for the simple nozzle with an arbitrary joint clearance, and an asymmetric flow was observed. Finally, the total strain result for a realistic nozzle configuration was obtained using the one way and two way coupled analyses.
DESIGN AND FABRICATION OF SOLAR POWERED WATER PUMPING SYSTEM WITH AUTO TRACKING
Year: 2018

Solar energy is converted to mechanical energy by absorbing the solar radiation from the sunlight. In this paper we have introduced a solar photo voltaic cell for collecting the sun rays through the solar array and transforming this sun rays in to electricity to generate the electricity. The main aim of this project is to supply electricity through the sun rays and its for the purpose of irrigation in the rural areas where the electricity scare is expected. In our solar kit we have introduce an Automatic solar tracker which stimulates and increases the efficiency of the solar panel by keeping the solar panel which moves according to the direction of movement of sun rays. A solar PV cell is a electrical device that converts the energy of light directly to electricity by the photovoltaic effect. A photoelectric cell is defined as an device whose electrical characteristics like current, voltage, resistance, varies when exposed to light. Solar cells are the basement for any photovoltaic modules panels. Solar cells are used as a photo detector for detecting light near the visible range, or measuring light intensity.