nils-herrmann/clean_scirepeval huggingface dataset:
Games for Treating and Diagnosing Post Traumatic Stress Disorder

This chapter describes the use of games for addressing Post Traumatic Stress Disorder, a syndrome with a strong emotional component, characterized by among other things hyper arousal. A number of games and game like tools for treating Post Traumatic Stress Disorder are described. Subsequently, the chapter describes the design, development, and testing of a specific game for addressing Post Traumatic Stress Disorder which uses emotion recognition to characterize and target patient treatment. In clinical testing the game is found to elicit stress in patients suffering from Post Traumatic Stress Disorder based both on self reports and physiological indicators of stress and arousal. Further, is shown that features extracted from the physiological signals can be combined with patient background information to predict measures of Post Traumatic Stress Disorder severity. This suggests that the combination of games and measurement of physiological indicators of emotional responses holds potential for creating novel tools for treating and diagnosing mental health disorders.
The potential of a graphene supported porous organic polymer (POP) for CO2 electrocatalytic reduction.
Venue: Chemical communications

A one pot, bottom up assembly of a pyrimidine containing porous organic polymer (PyPOP) was conducted to homogenously deposit the PyPOP atop unmodified graphene sheets, affording a composite material PyPOP@G. The PyPOP demonstrated an appreciable affinity toward CO2 capture but was found to be largely insulating, hindering its usage in potential electrochemical conversion of CO2. However, its composite with graphene was found to be microporous, with maintained affinity toward CO2 and furthermore demonstrated significant electrochemical activity toward CO2 reduction (5 mA cm 2 at 1.6 V) not observed in either of its two components separately.
Observation of Attractive and Repulsive Polarons in a Bose Einstein Condensate.
Venue: Physical review letters

The problem of an impurity particle moving through a bosonic medium plays a fundamental role in physics. However, the canonical scenario of a mobile impurity immersed in a Bose Einstein condensate (BEC) has not yet been realized. Here, we use radio frequency spectroscopy of ultracold bosonic {39}K atoms to experimentally demonstrate the existence of a well defined quasiparticle state of an impurity interacting with a BEC. We measure the energy of the impurity both for attractive and repulsive interactions, and find excellent agreement with theories that incorporate three body correlations, both in the weak coupling limits and across unitarity. The spectral response consists of a well defined quasiparticle peak at weak coupling, while for increasing interaction strength, the spectrum is strongly broadened and becomes dominated by the many body continuum of excited states. Crucially, no significant effects of three body decay are observed. Our results open up exciting prospects for studying mobile impurities in a bosonic environment and strongly interacting Bose systems in general.
Bose Polarons in the Strongly Interacting Regime.
Venue: Physical review letters

When an impurity is immersed in a Bose Einstein condensate, impurity boson interactions are expected to dress the impurity into a quasiparticle, the Bose polaron. We superimpose an ultracold atomic gas of {87}Rb with a much lower density gas of fermionic {40}K impurities. Through the use of a Feshbach resonance and radio frequency spectroscopy, we characterize the energy, spectral width, and lifetime of the resultant polaron on both the attractive and the repulsive branches in the strongly interacting regime. The width of the polaron in the attractive branch is narrow compared to its binding energy, even as the two body scattering length diverges.
Diversity as an aspect of effective leadership: integrating and moving forward

The purpose of this paper is to elaborate an integrative framework that positions diversity considerations in a continuum of various leadership theories. The authors thus seek to differentiate between distinct leadership styles and assess their potential in fostering inclusive leader behaviors.  The authors proceed to a brief review of the extant literature on diversity leadership by distinguishing between diverse followers and diverse leaders on one hand, and leadership styles in diverse and heterogeneous teams, on the other. The authors then provide a rationale for leadership theories that are more likely to support leader inclusiveness and foster inclusive leader and follower behaviors.  Four distinct theoretical frameworks capturing the importance of emerging leadership theories (ethical, authentic. servant and spiritual leadership) for informing caring and inclusive climates, are introduced. The authors thus seek to delineate leadership styles effectiv.
Expert Guided Generative Topographical Modeling with Visual to Parametric Interaction
Venue: PloS one

Introduced by Bishop et al. in 1996, Generative Topographic Mapping (GTM) is a powerful nonlinear latent variable modeling approach for visualizing high dimensional data. It has shown useful when typical linear methods fail. However, GTM still suffers from drawbacks. Its complex parameterization of data make GTM hard to fit and sensitive to slight changes in the model. For this reason, we extend GTM to a visual analytics framework so that users may guide the parameterization and assess the data from multiple GTM perspectives. Specifically, we develop the theory and methods for Visual to Parametric Interaction (V2PI) with data using GTM visualizations. The result is a dynamic version of GTM that fosters data exploration. We refer to the new version as V2PI GTM. In this paper, we develop V2PI GTM in stages and demonstrate its benefits within the context of a text mining case study.
Visual and Thermal Comfort Optimization for Arid Urban Spaces using Parametric Techniques on the Scale of Compactness Degree

Same like buildings' indoor spaces, urban forms need an optimization between solar radiation access which affects pedestrian thermal comfort as well as daylighting for both outdoor and indoor spaces to provide visual comfort. This mutual interaction is critical especially in arid zones where the compactness and confined urban canyons are very useful passive cooling strategy and application. From this standing point, what is so called compactness degree scale, CDS (ranges from 0.1 10) for urban forms is used to identify specific urban built up density for environmental design and assessment taking place in the urban form design process. In this work, a range of 0.5 10 on CDS with aspect ratio from 1 5 have been applied to examine specific range of urban forms between compact and open urban patterns. The thermal and visual performance of both outdoor and indoor environments are investigated while varying the density of such forms in Cairo, Egypt. The many variations of the case study could have been done using parametric techniques through Grasshopper, Rhino, Diva, honeybee, and ladybug simulation tools. This study was able then to provide implications for the optimum design that fulfil acceptable levels of urban thermal and visual comforts while providing adequate indoor daylighting in arid regions.
Secure Group Communication in Wireless Sensor Networks: A survey
Venue: J. Netw. Comput. Appl.

Wireless Sensor Networks (WSN) consist of a large number of sensor nodes which are often deployed in an unattended harsh environment. As they are exposed to a wide range of attacks, sensor based applications have then to be secured. In this paper, we presented an updated survey of different Secure Group Communication (SGC) schemes in WSN. We examined both components of the existing SGC schemes namely the group key management and the group membership management, and discussed their performance and security. We also classified existing schemes to three different approaches: centralized, contributory, and hybrid. Additionally, we provided recommendations on which scheme to use for specific WSN constraints and specific application requirements. Finally, we pointed out the challenges that researchers have to address while giving them directions to potential solutions.
Proposal for secure group communication using encryption technology
Venue: 2016 Ninth International Conference on Mobile Computing and Ubiquitous Networking (ICMU)

In order to realize secure information sharing, it is common to encrypt information, using a common key called "Group Key" among group members. However, in the case of existing technologies, there is a concern that leakage of information occurs because contents of communications are preserved at the server, and also because the server administrator possesses the group key. Thus, in this Paper, we propose a method of using two kinds of random numbers of different generation origins sent through two different transmission routes in order to create a group key. With this method, group members can share the group key with security, and a secure group communication system with enhanced level of security can be realized.
Friendbook: A Semantic Based Friend Recommendation System for Social Networks

TWENTY years past, folks generally created friends with others who live or work near themselves, like neighbors or colleagues. we have a tendency to decision friends created through this ancient fashion as G friends, that stands for geographical location based friends as a result of they're influenced by the geographical distances between one another. With the speedy advances in social networks, services like Facebook, Twitter and Google+ have provided us revolutionary ways in which of creating friends.According to Facebook statistics, a user has a mean of one hundred thirty friends, maybe larger than the other time in history. One challenge with existing social networking services is a way to suggest a good or reliable friend to a user. Most of them rely on pre existing user relationships to choose friend candidates. for instance, Facebook depends on a social link analysis among those that already share common friends and recommends users as potential friends.Unfortunately, this approach might not be the foremost applicable supported recent social science findings. according to these studies, the principles to group individuals along include: 1) habits or life style; 2) attitudes; 3) tastes; 4) ethical standards; 5) economic level; and 6) individuals they already know. life styles are typically closely correlate with daily routines and activities. Therefore, if we tend to may gather data on users' daily routines and activities, we are able to exploit rule #1 and suggest friends to individuals supported their similar life styles. This recommendation mechanism may be deployed as a standalone app on smartphones for existing social network frameworks.
Evaluation of the Global Protocol for Community Scale Greenhouse Gas Emission Inventories (GPC) Method for Chinese Cities

China has become the largest emitter of greenhouse gases (GHGs) in the world. Urban areas only cover a small area, but contribute a large amount of the GHG emission. Along with the rapid urbanization in China, research on the urban GHG inventory has received significant attention from scholars. The Global Protocol for Community Scale Greenhouse Gas Emission Inventories (GPC) Method was developed to explore appropriate methods to measure city GHG and assist cities in improving GHG accounting capabilities, and provide decision making support to urban low carbon development, based on the international common GHG inventory methods. The previous studies show the Guidelines for National Greenhouse Gas Inventories by Intergovernmental Panel on Climate Change (IPCC method) and ICLEI Protocol do not apply to cities in China as well. At present, China lacks a unified standard, guidance or tool for city GHG accounting (GPC, 2014) This paper presents a detailed analysis of GHG inventory for Chinese cities, aims to review the applicability of GPC method for accounting the GHG emission inventory of Chinese Cities. The selected case city, Beijing, was accounted for the urban GHG inventories in 2014 to evaluate the GPC method complete and applicable for Chinese Cities, through the activity data collection from the public source. Almost all the GHG emission of energy sector can be accounted based on the GPC method. However, the other sectors, including the industry, agriculture, waste, and forestry and land use change sectors also face the problem and difficulty, related to a lack of local activity data in Chinese cities. The GPC method provides a robust and clear framework that builds on existing methodologies for calculating and reporting urban GHG inventory. This is also a useful tool to understand and profile GHG emissions for Chinese cities, and design tailored and targeted emission factor and few kind of the activity data for GHG inventory account.
Impact of economic fluctuations on suicide mortality in Canada (1926 2008) Testing the Durkheim, Ginsberg, and Henry and Short theories
Venue: Death studies

Three theories have been proposed to explain the relationship between suicide and economic fluctuations, including the Durkheim (nonlinear) Ginsberg (procyclical) and Henry and Short (countercyclical) theories. This study tested the effect of economic fluctuations, measured by unemployment rate, on suicide rates in Canada from 1926 to 2008. Autoregressive integrated moving average time series models were used. The results showed a significant relationship between suicide and economic fluctuation; this association was positive during the contraction period (1926 1950) and negative in the period of economic expansion (1951 1973) Males and females showed differential effects in the period of moderate unemployment (1974 2008) In addition, the suicide rate of mid adults (45 64) was most impacted by economic fluctuations. Our study tends to support Durkheim's theory and suggests the need for public health responses in times of economic contraction and expansion.
Untangling the complexity of blood coagulation network: use of computational modelling in pharmacology and diagnostics
Venue: Briefings Bioinform.

Blood coagulation is a complex biochemical network that plays critical roles in haemostasis (a physiological process that stops bleeding on injury) and thrombosis (pathological vessel occlusion) Both up and down regulation of coagulation remain a major challenge for modern medicine, with the ultimate goal to correct haemostasis without causing thrombosis and vice versa. Mathematical/computational modelling is potentially an important tool for understanding blood coagulation disorders and their treatment. It can save a huge amount of time and resources, and provide a valuable alternative or supplement when clinical studies are limited, or not ethical, or technically impossible. This article reviews contemporary state of the art in the modelling of blood coagulation for practical purposes: to reveal the molecular basis of a disease, to understand mechanisms of drug action, to predict pharmacodynamics and drug drug interactions, to suggest potential drug targets or to improve quality of diagnostics. Different model types and designs used for this are discussed. Functional mechanisms of procoagulant bypassing agents and investigations of coagulation inhibitors were the two particularly popular applications of computational modelling that gave non trivial results. Yet, like any other tool, modelling has its limitations, mainly determined by insufficient knowledge of the system, uncertainty and unreliability of complex models. We show how to some extent this can be overcome and discuss what can be expected from the mathematical modelling of coagulation in not so far future.
About Face

The physician's general survey is an invaluable method for quickly assessing a patient's overall health and demeanor. Recent studies in psychology have found that qualities of one's face including skin coloration and facial adiposity are associated with one's underlying health. Subtle variations in these features can indicate serious health problems but can be detected with the untrained eye. Here, we describe how these facial traits link to health and discuss how such cues could be incorporated into the physician's general survey. In light of research on the barriers preventing physicians from implementing new approaches in their practice, we also consider how scans of facial cues to health could be rapidly and effortlessly integrated into a physician's current general survey. Integrating assessments of facial cues to health into the general survey would be a simple, low risk, and low cost way to detect, monitor, and track possible health concerns, particularly in the burgeoning field of telemedicine.
A Nursing Workforce Diversity Project: Strategies for Recruitment, Retention, Graduation, and NCLEX RN Success
Venue: Nursing education perspectives

AIMThe purpose of this article is to describe a collaborative project designed to recruit and retain students from underrepresented minorities and disadvantaged backgrounds into nursing education. BACKGROUNDEthnic minorities remain underrepresented in the nursing workforce in comparison to the general population. The numbers of minorities enrolled in nursing education programs are insufficient to meet the health care workforce diversity needs of the future. METHODHigh school students were provided with a preprofessional education program to prepare them for admission into a nursing program. Retention strategies were implemented for newly admitted and enrolled nursing education students. RESULTSTwenty one high school students enrolled in a nursing education program. The students enrolled in the nursing education program graduated and passed the licensure examination. CONCLUSIONEarly recruitment and multiprong retention programs can be successful in diversifying the registered nurse workforce.
Resilient Overlays for IoT Based Community Infrastructure Communications
Venue: 2016 IEEE First International Conference on Internet of Things Design and Implementation (IoTDI)

This paper considers the reliable delivery of sensor data from Internet of Things (IoT) devices to distributed cloud service instances in the face of localized failures for event detection, community infrastructure management, and emergency response. We develop and explore the notion of GEOgraphically Correlated Resilient Overlay Networks (GeoCRON) to capture the localized nature of community IoT deployments and their impact/vulnerability in the context of small failures and massive disruptions such as that caused by a large seismic event. As a focus use case, we study the viability and utility of GeoCRON in two different community sensor networks. The first, a large participatory sensing style network of small inexpensive seismic sensors, reports ground motion in homes and businesses to a cloud service for detecting and characterizing earthquakes. The second, a smaller infrastructure based network of wireless devices embedded in the water distribution network, reports water pressure changes at pipe junctions that may be indicative of leaks that require human intervention. Using realistic topologies derived from experiences with real world community scale deployments, we study the impact of geo correlated failures on the combined network infrastructure and evaluate a range of GeoCRON heuristics to improve commnunications resilience in this context. We validate the promise of the proposed GeoCRON based approach using extensive simulations and an initial prototype system implementation.
Individual, Community, and National Resiliencies and Age: Are Older People Less Resilient than Younger Individuals?
Venue: The American journal of geriatric psychiatry official journal of the American Association for Geriatric Psychiatry

The resilience of older and younger Israelis was investigated.  A representative sample of the Jewish population in Israel (N 1,022) was used.  The participants were three adult age groups (18 35, 36 64, and 65+ years) Half of them were women, and they evenly represented left wing and right wing political attitudes.  Resilience was measured by the ratio of strength and vulnerability of the individual, the community, and the nation.  Older participants did not differ from younger people in sense of danger; reported lower level of distress symptoms; and showed higher individual, community, and national resilience scores based on strength to vulnerability ratio, compared with younger individuals.  These data support the contention that older Israelis are more resilient than younger cohorts. Their long direct or indirect experience with wars and terror attacks has not decreased their resilience, and has perhaps even strengthened it.
Teaching in a Digital Age: How Educators Use Technology to Improve Student Learning

A successful digital conversion for classrooms, districts, and states is not determined by the technology, but by how technology enables teaching and learning. The purpose of our multisite case study was to document digital instructional strategies teachers use to enhance and transform student learning, and align that use with learning research. We conducted focus groups and interviews, and observed classrooms in seven exemplary schools across the United States. We surveyed teachers' familiarity, use, and comfort with technology as well. We document six common strategies used across the seven sites and identify five roles that technology plays in enhancing teaching and learning, and discuss how these strategies benefit teachers and learners.  technology integration, digital instructional strategies)
Zhikang Capsule ameliorates dextran sodium sulfate induced colitis by inhibition of inflammation, apoptosis, oxidative stress and MyD88 dependent TLR4 signaling pathway.
Venue: Journal of ethnopharmacology

ETHNOPHARMACOLOGICAL RELEVANCE Zhikang Capsule (ZKC) is a traditional Chinese medicine (TCM) modified from classic formulas Qi Li San (an ancient formula dating to Qing Dynasty) and Fu Jin Sheng Ji San (written into The Golden Mirror of Medicine) ZKC contains 14 kinds of materials and has been widely used for the clinical therapy of inflammatory bowel diseases (IBD) for a long time. However, the therapeutic mechanisms of ZKC are still unclear.  To determine the protective effect of ZKC on dextran sodium sulfate (DSS) induced colitis and explore the underlying mechanisms.  C57BL/6 mice were fed with 3% DSS in drinking water for one week to induce experimental colitis. They were randomly assigned to six groups according to the treatment conditions. The histological changes of colon tissues were observed by hematoxylin and eosin (H&E) staining. The serum concentration of pro inflammatory cytokines (TNF a, IFN g, IL 1b, and IL 12) and anti inflammatory mediators (IL 4 and IL 10) was detected by enzyme linked immune sorbent assays (ELISAs) The production of MPO, SOD, MDA, NO, and caspase 3 was assessed by biochemical assay kits. The expression of iNOS, ICAM 1, and NF KB was evaluated by immunohistochemistry staining. The levels of TLR4, MyD88, and TRAF6 were determined by western blot.  Histologic analysis exhibited that ZKC alleviated the inflammation, loss of goblet cells, and submucosal edema induced by DSS. ZKC significantly suppressed the pro inflammatory cytokines and promoted the anti inflammatory mediators. The antioxidation of ZKC was indicated by increased activity of SOD and reduced production of MDA, NO, and iNOS in ZKC treated mice. Furthermore, ZKC repressed the colonic expression of caspase 3 and the activity of the MyD88 dependent TLR4 signaling pathway.  This research demonstrated the protective effect of ZKC on DSS induced colitis. For the first time, we identified four therapeutic mechanisms of ZKC, including effective inhibition of the inflammatory responses, significant alleviation of intestinal epithelium apoptosis, considerable prevention of oxidative stress, and selective down regulation of the MyD88 dependent TLR4 signaling pathway. With high therapeutic effects and low toxic effects, ZKC exhibits great superiority over western medicines in IBD treatment.