nils-herrmann/clean_scirepeval huggingface dataset:
The associations between work life balance behaviours, teamwork climate and safety climate: cross sectional survey introducing the work life climate scale, psychometric properties, benchmarking data and future directions
Venue: BMJ Quality Safety

Improving the resiliency of healthcare workers is a national imperative, driven in part by healthcare workers having minimal exposure to the skills and culture to achieve work life balance (WLB) Regardless of current policies, healthcare workers feel compelled to work more and take less time to recover from work. Satisfaction with WLB has been measured, as has work life conflict, but how frequently healthcare workers engage in specific WLB behaviours is rarely assessed. Measurement of behaviours may have advantages over measurement of perceptions; behaviours more accurately reflect WLB and can be targeted by leaders for improvement.  To describe a novel survey scale for evaluating work life climate based on specific behavioural frequencies in healthcare workers. 2. To evaluate the scale's psychometric properties and provide benchmarking data from a large healthcare system. 3. To investigate associations between work life climate, teamwork climate and safety climate.  Cross sectional survey study of US healthcare workers within a large healthcare system.  of 9199 eligible healthcare workers across 325 work settings within 16 hospitals completed the survey in 2009 (86% response rate) The overall work life climate scale internal consistency was Cronbach a=0.790. t Tests of top versus bottom quartile work settings revealed that positive work life climate was associated with better teamwork climate, safety climate and increased participation in safety leadership WalkRounds with feedback (p<0.001) Univariate analysis of variance demonstrated differences that varied significantly in WLB between healthcare worker role, hospitals and work setting.  The work life climate scale exhibits strong psychometric properties, elicits results that vary widely by work setting, discriminates between positive and negative workplace norms, and aligns well with other culture constructs that have been found to correlate with clinical outcomes.
The Influence of Support and Development Programs and Services on the Success of University Students from Low Socioeconomic Status Backgrounds

This project engaged a mixed methods approach to explore how the success of students from low socioeconomic status (low SES) backgrounds was impacted by their interaction with support and development initiatives offered by the division of Student Life and Learning at UNSW Australia. A quantitative database study was used to determine the impact of intervention on several academic success indicators, and multilevel modelling was applied to identify significant results. Student interviews provided experiential accounts of support initiative interaction, which were drawn on to qualify the link between interaction and success. The initiatives examined were academic writing, disabilities, counselling, educational and careers support services, and co curricular development programs. Findings show that low SES students accessed Student Life and Learning support initiatives at similar or (in the case of some initiatives) higher rates than their peers and that these interactions contributed in multiple and diverse ways to student success. The benefits provided by interactions were not limited to low SES students, although there is some evidence to suggest that academic improvements may be more pronounced for this cohort.
Comparison between Western and Middle Eastern Cultures Research on Why American Expatriates Struggle in the Middle East

Organisations in general are aiming at reaching as much markets as possible, which means interacting with different cultures and environments. Interacting with individuals with different backgrounds could result in miscommunication. The reason is that people from different cultures perceiving almost everything differently. Consequently, organisations are increasingly interested in people that have experienced and adjusted to different cultures as they are flexible in cultural adjustment. This flexibility helps an organisation in saving money by sending an employee who is capable of carrying over the assignment they were sent on successfully without damaging business relationships overseas. Therefore, this essay will discuss expatriates and their roles, what are crosscultural issues, the difference between high and low context cultures, and a comparison of American culture and Saudi Arabian culture. This comparison could help in understanding why American expatriates, who are in heavy demand in Saudi Arabia, struggle when trying to adjust to the Saudi Arabian culture.
Exploring Cost Benefit Analysis of Research, Development and Innovation Infrastructures: An Evaluation Framework

Governments, funding agencies and policy makers have high expectations on research, development and innovation (RDI) infrastructures in the context of science and innovation policies aimed at sustaining economic growth in the long term. The stakes associated with their selection and evaluation are therefore high. Cost benefit analysis of RDI infrastructures is a new field. The intangible nature of some benefits and the uncertainty associated to the achievement of research results have often discouraged the use of a proper CBA for RDI infrastructures. Recently, some attempts to develop a CBA theoretical framework for RDI infrastructures have been made in the context of the use of Structural Funds by the Czech government and JASPERS. Moreover, the new Guide for the CBA of investment projects in the context of Cohesion Policy, recently adopted by the European Commission (2014) provides guidelines to appraise RDI projects, but also admits that due to lack of experience and best practices further steps are needed to improve the evaluation framework. This paper presents the results and the lessons learned on how to apply ex ante CBA for major RDI infrastructures by a team of economists and scientists at the University of Milan and CSIL during a three year research project supported by a EIBURS grant of the European Investment Bank Institute. Albeit the comprehensive conceptual framework presented in the paper builds on principles firmly rooted in CBA tradition, their application to the RDI sector is still in its infancy. So far, the model has been applied on two cases in physics involving particle accelerators (the Large Hadron Collider (LHC) at CERN and the National Centre for Oncological Treatment (CNAO) in Italy) In a nutshell, the model presented break down benefits into two broad classes: i) use benefits, held by different categories of infrastructure's users such as scientists, firms, students and general public visitors, and ii) non use benefits, denoting the social value for the discovery potential of the RDI infrastructure regardless of its actual or future use. We argue that the social value of discovery can be estimated with contingent valuation techniques. Another significant feature of our approach is the stochastic nature of the CBA model, intended to deal with the uncertainty and risk of optimism bias in the estimates
Ubuntu fr: A Large and Open Corpus for Multi modal Analysis of Online Written Conversations
Venue: LREC

We present a large, free, French corpus of online written conversations extracted from the Ubuntu platform's forums, mailing lists and IRC channels. The corpus is meant to support multi modality and diachronic studies of online written conversations. We choose to build the corpus around a robust metadata model based upon strong principles, such as the "stand off" annotation principle. We detail the model, we explain how the data was collected and processed in terms of meta data, text and conversation and we detail the corpus'contents through a series of meaningful statistics. A portion of the corpus about 4,700 sentences from emails, forum posts and chat messages sent in November 2014 is annotated in terms of dialogue acts and sentiment. We discuss how we adapted our dialogue act taxonomy from the DIT+ annotation scheme and how the data was annotated, before presenting our results as well as a brief qualitative analysis of the annotated data.
Comparaison d'approches de classification automatique des actes de dialogue dans un corpus de conversations ecrites en ligne sur differentes modalites (A comparison of automatic dialog act recognition approaches in a multimodal corpus of online written conversations)[In French]
Venue: JEPTALNRECITAL

L'analyse des conversations ecrites porteuses de demandes d'assistance est un enjeu important pour le developpement de nouvelles technologies liees au support client. Dans cet article, nous nous interessons a l'analyse d'un meme type d'echange sur un canal different les conversations se deroulant sur les plate formes d'entraide entre utilisateurs. Nous comparons des approches de classification supervisees sur trois modalites des CMR 1 differentes a meme thematique des courriels, forums et chats issus de la communaute Ubuntu. Le systeme emploie une taxonomie fine basee sur le schema DIT+ D'autres experiences sont detaillees, et nous rapportons les resultats obtenus avec differentes approches et differents traits sur les differentes parties de notre corpus multimodal.
Affective forecasting and medication decision making in breast cancer prevention.
Venue: Health psychology official journal of the Division of Health Psychology, American Psychological Association

Over 2 million American women at elevated risk for breast cancer are eligible to take chemoprevention medications such as tamoxifen and raloxifene, which can cut in half the risk of developing breast cancer, but which also have a number of side effects. Historically, very few at risk women have opted to use chemoprevention medications. Affective forecasting theory suggests that people may avoid these medications if they expect taking them to increase their health related stress.  After receiving an individually tailored decision aid that provided personalized information about the risks and benefits of these medications, 661 women at elevated risk of breast cancer were asked to make 3 affective forecasts, predicting what their level of health related stress would be if they took tamoxifen, raloxifene, or neither medication. They also completed measures of decisional preferences and intentions, and at a 3 month follow up, reported on whether or not they had decided to use either medication.  On the affective forecasting items, very few women <10% expected the medications to reduce their health related stress, relative to no medication at all. Participants with more negative affective forecasts about taking a chemoprevention medication expressed lower preferences and intentions for using the medications (Cohen's ds from 0.74 to 0.79) and were more likely to have opted against using medication at follow up (OR range 1.34 2.66)  These findings suggest that affective forecasting may explain avoidance of breast cancer chemoprevention medications. They also highlight the need for more research aimed at integrating emotional content into decision aids.
Acute stress does not affect risky monetary decision making
Venue: Neurobiology of Stress

The ubiquitous and intense nature of stress responses necessitate that we understand how they affect decision making. Despite a number of studies examining risky decision making under stress, it is as yet unclear whether and in what way stress alters the underlying processes that shape our choices. This is in part because previous studies have not separated and quantified dissociable valuation and decision making processes that can affect choices of risky options, including risk attitudes, loss aversion, and choice consistency, among others. Here, in a large, fully crossed two day within subjects design, we examined how acute stress alters risky decision making. On each day, 120 participants completed either the cold pressor test or a control manipulation with equal probability, followed by a risky decision making task. Stress responses were assessed with salivary cortisol. We fit an econometric model to choices that dissociated risk attitudes, loss aversion, and choice consistency using hierarchical Bayesian techniques to both pool data and allow heterogeneity in decision making. Acute stress was found to have no effect on risk attitudes, loss aversion, or choice consistency, though participants did become more loss averse and more consistent on the second day relative to the first. In the context of an inconsistent previous literature on risk and acute stress, our findings provide strong and specific evidence that acute stress does not affect risk attitudes, loss aversion, or consistency in risky monetary decision making.
Comparison of Convenience Sampling and Purposive Sampling

This article studied and compared the two nonprobability sampling techniques namely, Convenience Sampling and Purposive Sampling. Convenience Sampling and Purposive Sampling are Nonprobability Sampling Techniques that a researcher uses to choose a sample of subjects/units from a population. Although, Nonprobability sampling has a lot of limitations due to the subjective nature in choosing the sample and thus it is not good representative of the population, but it is useful especially when randomization is impossible like when the population is very large. It can be useful when the researcher has limited resources, time and workforce. It can also be used when the research does not aim to generate results that will be used to create generalizations pertaining to the entire population. Therefore, there is a need to use nonprobability sampling techniques. The aim of this study is to compare among the two nonrandom sampling techniques in order to know whether one technique is better or useful than the other. Different articles were reviewed to compare between Convenience Sampling and Purposive Sampling and it is concluded that the choice of the techniques (Convenience Sampling and Purposive Sampling) depends on the nature and type of the research.
Resting heart rate variability and plasma noradrenaline level as a measurement of autonomic nervous system activity in mature, aging rats

Aging is a process that also affects the autonomic nervous system (ANS) making it less adaptable to environmental and intrinsic stimuli and affecting its ability to maintain body homeostasis. The aim of this study was to estimate the resting ANS function using heart rate variability (HRV) method and by noradrenaline measurement in aging, 2 12 months old rats.  Resting 15 minute long ECG recordings were performed in anaesthetized rats with a subsequent spectral HRV analysis. Basic non normalized HRV components in the range of very low (VLF) low (LF) and high (HF) frequency, along with the total HRV spectrum power (TP) were estimated. Moreover, normalized LF (nLF) and normalized HF (nHF) were calculated. Blood samples were also collected to assay plasma noradrenaline (NA) level.  In the overall assessment, plasma noradrenaline level as well as both TP and all non normalized HRV components demonstrated a tendency for reduction when compared the first (2nd) and last (12th) months. In the case of nLF and nHF, a trend of nLF predominance in the 2nd and 3rd month was revealed while an inverse relation was observed from the 6th month on, with nHF superiority. Overall, males reached comparable or slightly higher NA and non normalized HRV values compared to females, although most differences were not statistically significant. A parallel decline of LF (starting from the 10th month) and HF (from the 6th month) was demonstrated in both male and female animals. Female rats had a little more stable nLF and nHF course in the study time.  Rat ANS aging is associated with global HRV decrease with parallel plasma NA decline, although without selective impairment of individual (sympathetic/parasympathetic) ANS components.
Cutting Out the Middle Man in Light Hormone Interactions.
Venue: Developmental cell

In this issue of Developmental Cell, Shi et al. (2016a) show that red light activated phytochrome B interacts with transcriptional regulators of ethylene signaling, EIN3/EIL1, triggering their degradation by bringing the F box proteins EBF1 and 2 to the complex. These findings provide a paradigm for crosstalk between light and hormone signaling pathways.
Ultra reliable and low latency communication for wireless factory automation: From LTE to 5G
Venue: 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA)

Wireless factory automation has been receiving much interest in recent years due to its advantages of low cost and high flexibility over the traditional wired networks. Factory automation is also considered as one of the important use cases of the 5th generation (5G) cellular system. In this paper, we present comprehensive system level simulation results to evaluate the performance of LTE and new 5G radio interface design concepts in a realistic factory deployment scenario. We believe that our detailed evaluation studies bring valuable insights to show the potential of 3GPP technologies for different factory use cases.
Next generation real time networks based on IT technologies
Venue: 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA)

Ethernet based networks have found their way into industrial communication more than a decade ago. However, while industry and academia developed Ethernet variants to also meet real time and fault tolerant requirements, recent standardization efforts within the IEEE 802 will broadly bring standard IT switched Ethernet in future industrial communication networks. As first standards of IEEE 802.1 time sensitive networking (TSN) are becoming published at the time of this writing, we review these standards and formulate further research challenges that still go beyond current standard developments. Furthermore, we report on recent research results from the RetNet project that target these research challenges.
Formal worst case performance analysis of time sensitive Ethernet with frame preemption
Venue: 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA)

One of the key challenges in future Ethernet based automotive and industrial networks is the low latency transport of time critical data. To date, Ethernet frames are sent non preemptively. This introduces a major source of delay, as, in the worst case, a latency critical frame might be blocked by a frame of lower priority, which started transmission just before the latency critical frame. The upcoming  802.3br standard will introduce Ethernet frame preemption to address this problem. While high priority traffic benefits from preemption, lower priority (yet still latency sensitive) traffic experiences a certain overhead, impacting its timing behavior. In this paper, we present a formal timing analysis for Ethernet to derive worst case latency bounds under preemption. We use a realistic automotive Ethernet setup to analyze the worst case performance of standard Ethernet and Ethernet TSN under preemption and also compare our results to non preemptive implementations of these standards.
Behavior modeling of automation components using cross domain interdependencies
Venue: 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA)

Within the multi disciplinary engineering process of a cyber physical production system, the information about the plant is increasing steadily. Different departments work on separate domain specific models and tools allowing a specialized view of the same system. However, data exchange and linking the heterogeneous information across domains is a critical issue. This paper investigates behavior modeling of automation components out of interdependencies coming from different disciplines such as mechanics, electrics, and software engineering. By this, the interlinking of the domain specific models, as an enabling step towards early cross domain validation and facilitated system evolution, allows a common understanding of the correct functionality of the system. The concept will be explained through the example of a pneumatic stopper and evaluated in AutomationML, an emerging standard in automation, to store and exchange artifacts between domain specific engineering tools.
A Test bed dedicated to the Study of Vulnerabilities in IEC 61850 Power Utility Automation Networks
Venue: 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA)

Industrial control systems rely more and more on digital technologies. Although the cyber risk such technologies induce is widely judged as serious, especially for critical infrastructures, these systems have generally not been designed to serve cybersecurity purposes. Instead they were thought first for serving operational efficiency. It thus becomes critical to study cyber threats in industrial environments and experimental test beds are needed to evaluate risks, physical consequences of cyber incidents, and performance of countermeasures. The test bed we present here focuses on studying cyber risks and their mitigation in IEC 61850 power utility automation systems. The operational part is composed of engineering computers, supervision software, off the shelf intelligent relays (Intelligent Electronic Device IED) a hardware in the loop process simulation, and the cybersecurity tools include an attack generation station and a network analyzer. In this paper, we present the operational part, giving details on the power grid hardware in the loop simulation and its importance in the understanding of cyber consequences on the global system. The article concludes giving preliminary experimental results showing consequences of a false data injection attack on a simple electrical architecture.
From AutomationML to ROS: A model driven approach for software engineering of industrial robotics using ontological reasoning
Venue: 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA)

One of the major investment for applying industrial robots in production resides in the software development, which is an interdisciplinary and heterogeneous engineering process. This paper presents a novel model driven approach that uses AutomationML as modeling framework and ontological reasoning as inference framework for constructing robotic application using Robot Operating System (ROS) We show how different robotic components can be classified and modeled with AutomationML, how these components can be composed together to a production system, and how the AutomationML models can be processed semantically by utilizing Semantic Web technologies and ontological reasoning. By applying model to text transformation techniques, executable ROS code can be generated from the models that foster fast prototyping and the reuse of robotic software.