nils-herrmann/clean_scirepeval huggingface dataset:
Leadership for primary health care research.

Over the last decade, I have put together a new theory of leadership. This paper describes its four propositions, which are consistent with the research literature but which lead to conclusions that are not commonly held and seldom put into practice. The first proposition is a model describing the territory of leadership that is different from either the Leadership Qualities Framework, 2006 or the Medical Leadership Competency Framework, 2010, both of which have been devised specifically for the NHS (National Health Service). The second proposition concerns the ill-advised attempt of individuals to become expert in all aspects of leadership: complete in themselves. The third suggests how personality and capability are related. The fourth embraces and recommends the notion of complementary differences among leaders. As the NHS seeks increasing leadership effectiveness, these propositions may need to be considered and their implications woven into the fabric of NHS leader selection and development. Primary Health Care research, like all fields of collective human endeavour, is eminently in need of sound leadership and the same principles that facilitate sound leadership in other fields is likely to be relevant to research teams.
ConRec: A Software Framework for Context-Aware Recommendation Based on Dynamic and Personalized Context

Contextual information is proven helpful to recommender system. And context-aware recommender system(CARS) has been applied in various applications. To improve the accuracy of context-aware recommendation and make recommender application development easier, we develop a lightweight software framework named ConRec, which introduces a dynamic context oriented approach to extend traditional reduction based recommender. This framework takes the dynamic nature of context into full consideration from different aspects to get better recommendation result. The dynamism of context exists in the process of context modeling, the computation of context weight and the handling of newly emergent context. In ConRec, context is dynamically modeled by clustering similar context values into one set automatically, rather than statically predefined by domain experts. Users' preferences to different types of context are explicitly measured through context weighting function based on real dataset. Moreover, ConRec supports incrementally adding new type of context to recommendation process, which reduces much cost of re-building the whole recommender model. Based on our improved reduction-based algorithm, ConRec is built as a highly scalable and reusable software framework for developing context-aware recommender applications. Finally, we evaluate our proposed approach on public datasets and get more accurate recommendation than traditional methods.
Voice Disorders Identification Using Multilayer Neural Network

In this paper we present a new method for voice disorders classification based on multilayer neural network. The processing algorithm is based on a hybrid technique which uses the wavelets energy coefficients as input of the multilayer neural network. The training step uses a speech database of several pathological and normal voices collected from the national hospital “Rabta Tunis” and was conducted in a supervised mode for discrimination of normal and pathology voices and in a second step classification between neural and vocal pathologies (Parkinson, Alzheimer, laryngeal, dyslexia...). Several simulation results will be presented in function of the disease and will be compared with the clinical diagnosis in order to have an objective evaluation of the developed tool.
High frequency low cost DC-AC inverter design with fuel cell source for home applications

This paper presents a new design of high frequency DC/AC inverter for home applications using fuel cells or photovoltaic array sources. A battery bank parallel to the DC link is provided to take care of the slow dynamic response of the source. The design is based on a push-pull DC/DC converter followed by a full-bridge PWM inverter topology. The nominal power rating is 10 kW. Actual design parameters, procedure and experimental results of a 1.5 kW prototype are provided. The objective of this paper is to explore the possibility of making renewable sources of energy utility interactive by means of low cost power electronic interface.
Continuity and change: assortative marriage and the consistency of personality in adulthood.

How is personality stability possible amid the myriad of social changes and transformations that characterize a human life? We argue that by choosing situations that are compatible with their dispositions and by affiliating with similar others, individuals may set in motion processes of social interchange that sustain their dispositions across time and circumstance. To test this proposition we examined mate selection, using data on married couples from two ongoing longitudinal studies at the Institute of Human Development, University of California, Berkeley. Consistent with other research, the results point to homogamy as a basic norm in marriage. More important, the results show that marriage to a similar other promotes consistency in the intraindividual organization of personality attributes across middle adulthood. We offer some speculations for a more relational approach to the problem of individual continuity and change.
Video Game Development and User Experience

G. R. White University of Sussex, Brighton, UK Abstract In order to design new methodologies for evaluating the user experience of video games, it is imperative to initially understand two core issues. Firstly, how are video games developed at present, including components such as processes, timescales and staff roles, and secondly, how do studios design and evaluate the user experience. This chapter will discuss the video game development process and the practices that studios currently use to achieve the best possible user experience. It will present four case studies from game developers Disney Interactive (Black Rock Studio), Relentless, Zoe Mode, and HandCircus, each detailing their game development process and also how this integrates with the user experience evaluation. The case studies focus on different game genres, platforms, and target user groups, ensuring that this chapter represents a balanced view of current practices in evaluating user experience during the game development process.
Caffeic acid phenethyl ester: Inhibition of metastatic cell behaviours via voltage-gated sodium channel in human breast cancer in vitro.

Caffeic acid phenethyl ester, derived from natural propolis, has been reported to have anti-cancer properties. Voltage-gated sodium channels are upregulated in many cancers where they promote metastatic cell behaviours, including invasiveness. We found that micromolar concentrations of caffeic acid phenethyl ester blocked voltage-gated sodium channel activity in several invasive cell lines from different cancers, including breast (MDA-MB-231 and MDA-MB-468), colon (SW620) and non-small cell lung cancer (H460). In the MDA-MB-231 cell line, which was adopted as a 'model', long-term (48 h) treatment with 18 μM caffeic acid phenethyl ester reduced the peak current density by 91% and shifted steady-state inactivation to more hyperpolarized potentials and slowed recovery from inactivation. The effects of long-term treatment were also dose-dependent, 1 μM caffeic acid phenethyl ester reducing current density by only 65%. The effects of caffeic acid phenethyl ester on metastatic cell behaviours were tested on the MDA-MB-231 cell line at a working concentration (1 μM) that did not affect proliferative activity. Lateral motility and Matrigel invasion were reduced by up to 14% and 51%, respectively. Co-treatment of caffeic acid phenethyl ester with tetrodotoxin suggested that the voltage-gated sodium channel inhibition played a significant intermediary role in these effects. We conclude, first, that caffeic acid phenethyl ester does possess anti-metastatic properties. Second, the voltage-gated sodium channels, commonly expressed in strongly metastatic cancers, are a novel target for caffeic acid phenethyl ester. Third, more generally, ion channel inhibition can be a significant mode of action of nutraceutical compounds.
Innate lymphoid cells in inflammation and immunity.

Innate lymphoid cells (ILCs) were first described as playing important roles in the development of lymphoid tissues and more recently in the initiation of inflammation at barrier surfaces in response to infection or tissue damage. It has now become apparent that ILCs play more complex roles throughout the duration of immune responses, participating in the transition from innate to adaptive immunity and contributing to chronic inflammation. The proximity of ILCs to epithelial surfaces and their constitutive strategic positioning in other tissues throughout the body ensures that, in spite of their rarity, ILCs are able to regulate immune homeostasis effectively. Dysregulation of ILC function might result in chronic pathologies such as allergies, autoimmunity, and inflammation. A new role for ILCs in the maintenance of metabolic homeostasis has started to emerge, underlining their importance in fundamental physiological processes beyond infection and immunity.
Physiological Signal-Driven Virtual Reality in Social Spaces

Virtual and augmented reality are becoming the new medium that transcend the way we interact with virtual content, paving the way for many immersive and interactive forms of applications. The main purpose of my research is to create a seamless combination of physiological sensing with virtual reality to provide users with a new layer of input modality or as a form of implicit feedback. To achieve this, my research focuses in novel augmented reality (AR) and virtual reality (VR) based application for a multi-user, multi-view, multi-modal system augmented by physiological sensing methods towards an increased public and social acceptance.
Effects of Service Quality and Customer Satisfaction on Repurchase Intention in Restaurants on University of Cape Coast Campus

This study sought to examine the effects of service quality and customer satisfaction on the repurchase intentions of customers of restaurants on University of Cape Coast Campus. The survey method was employed involving a convenient sample of 200 customers of 10 restaurants on the University of Cape Coast Campus. A modified DINESERV scale was used to measure customers’ perceived service quality. The results of the study indicate that four factors accounted for 50% of the variance in perceived service quality, namely; responsivenessassurance, empathy-equity, reliability and tangibles. Service quality was found to have a significant effect on customer satisfaction. Also, both service quality and customer satisfaction had significant effects on repurchase intention. However, customer satisfaction could not moderate the effect of service quality on repurchase intention. This paper adds to the debate on the dimensions of service quality and provides evidence on the effects of service quality and customer satisfaction on repurchase intention in a campus food service context.
Damage Assessment from Social Media Imagery Data During Disasters

Rapid access to situation-sensitive data through social media networks creates new opportunities to address a number of real-world problems. Damage assessment during disasters is a core situational awareness task for many humanitarian organizations that traditionally takes weeks and months. In this work, we analyze images posted on social media platforms during natural disasters to determine the level of damage caused by the disasters. We employ state-of-the-art machine learning techniques to perform an extensive experimentation of damage assessment using images from four major natural disasters. We show that the domain-specific fine-tuning of deep Convolutional Neural Networks (CNN) outperforms other state-of-the-art techniques such as Bag-of-Visual-Words (BoVW). High classification accuracy under both event-specific and cross-event test settings demonstrate that the proposed approach can effectively adapt deep-CNN features to identify the severity of destruction from social media images taken after a disaster strikes.
Third-Person Perceptions and Online Games: A Comparison of Perceived Antisocial and Prosocial Game Effects

The popularity of online games has inspired controversial discussion on the effects of game-play in both mass media and academia. However, we know little about ordinary people’s opinions about the effects of game-play. The current study applies the theory of the third-person effect (TPE) to examine people’s perceptions of game effects on self and on others, and detects significant third-person perceptual discrepancies. The results show that the magnitude of third-person perceptions is influenced by the social desirability of the message, the social distance between self and others, and by differential exposure to online games. The data supports the hypotheses that Internet efficacy and interdependent self-construal are significant antecedents of third-person perceptions, and partially supports the interaction effect of self-construal with Internet-efficacy and the interaction effect of self-construal with media social desirability.
Management of auricular hematoma and the cauliflower ear.

Acute auricular hematoma is common after blunt trauma to the side of the head. A network of vessels provides a rich blood supply to the ear, and the ear cartilage receives its nutrients from the overlying perichondrium. Prompt management of hematoma includes drainage and prevention of reaccumulation. If left untreated, an auricular hematoma can result in complications such as perichondritis, infection, and necrosis. Cauliflower ear may result from long-standing loss of blood supply to the ear cartilage and formation of neocartilage from disrupted perichondrium. Management of cauliflower ear involves excision of deformed cartilage and reshaping of the auricle.
From Temporary Competitive Advantage to Sustainable Competitive Advantage

Both the industrial organization theory (IO) and the resource-based view of the firm (RBV) have advanced our understanding of the antecedents of competitive advantage but few have attempted to verify the outcome variables of competitive advantage and the persistence of such outcome variables. Here by integrating both IO and RBV perspectives in the analysis of competitive advantage at the firm level, our study clarifies a conceptual distinction between two types of competitive advantage: temporary competitive advantage and sustainable competitive advantage, and explores how firms transform temporary competitive advantage into sustainable competitive advantage. Testing of the developed hypotheses, based on a survey of 165 firms from Taiwan’s information and communication technology industry, suggests that firms with a stronger market position can only attain a better outcome of temporary competitive advantage whereas firms possessing a superior position in technological resources or capabilities can attain a better outcome of sustainable competitive advantage. More importantly, firms can leverage a temporary competitive advantage as an outcome of market position, to improving their technological resource and capability position, which in turn can enhance their sustainable competitive advantage.
Tattoos and body piercings as indicators of adolescent risk-taking behaviors.

This study assessed tattoos and body piercings as markers of risk-taking behaviors in adolescents.



A 58-question survey, based on the 1997 Centers for Disease Control and Prevention Youth Risk Behavior Survey, was offered to all adolescent beneficiaries that came to the Adolescent Clinic. The survey contained standard Youth Risk Behavior Survey questions that inquire about eating behavior, violence, drug abuse, sexual behavior, and suicide. Questions about tattoos and body piercings were added for the purposes of this study.



Participants with tattoos and/or body piercings were more likely to have engaged in risk-taking behaviors and at greater degrees of involvement than those without either. These included disordered eating behavior, gateway drug use, hard drug use, sexual activity, and suicide. Violence was associated with males having tattoos and with females having body piercings. Gateway drug use was associated with younger age of both tattooing and body piercing. Hard drug use was associated with number of body piercings. Suicide was associated with females having tattoos and younger age of both tattooing and body piercing. Tattoos and body piercings were found to be more common in females than males.



Tattoos and/or body piercings can alert practitioners to the possibility of other risk-taking behaviors in adolescents, leading to preventive measures, including counseling. Tattoo and body piercing discovery should be an important part of a health maintenance visit to best direct adolescent medical care.
Postoperative course and hemodynamic profile after the arterial switch operation in neonates and infants. A comparison of low-flow cardiopulmonary bypass and circulatory arrest.

The neurological morbidity associated with prolonged periods of circulatory arrest has led some cardiac surgical teams to promote continuous low-flow cardiopulmonary bypass as an alternative strategy. The nonneurological postoperative effects of both techniques have been previously studied only in a limited fashion.



We compared the hemodynamic profile (cardiac index and systemic and pulmonary vascular resistances), intraoperative and postoperative fluid balance, and perioperative course after deep hypothermia and support consisting predominantly of total circulatory arrest or low-flow cardiopulmonary bypass in a randomized, single-center trial. Eligibility criteria included a diagnosis of transposition of the great arteries and a planned arterial switch operation before the age of 3 months. Of the 171 patients, 129 (66 assigned to circulatory arrest and 63 to low-flow bypass) had an intact ventricular septum and 42 (21 assigned to circulatory arrest and 21 to low-flow bypass) had an associated ventricular septal defect. There were 3 (1.8%) hospital deaths. Patients assigned to low-flow bypass had significantly greater weight gain and positive fluid balance compared with patients assigned to circulatory arrest. Despite the increased weight gain in the infants assigned to low-flow bypass, the duration of mechanical ventilation, stay in the intensive care unit, and hospital stay were similar in both groups. Hemodynamic measurements were made in 122 patients. During the first postoperative night, the cardiac index decreased (32.1 +/- 15.4%, mean +/- SD), while pulmonary and systemic vascular resistance increased. The measured cardiac index was < 2.0 L.min-1.m-2 in 23.8% of the patients, with the lowest measurement typically occurring 9 to 12 hours after surgery. Perfusion strategy assignment was not associated with postoperative hemodynamics or other nonneurological postoperative events.



After heart surgery in neonates and infants, both low-flow bypass and circulatory arrest perfusion strategies have comparable effects on the nonneurological postoperative course and hemodynamic profile.
European guideline for the management of genital herpes.

Genital herpes is one of the commonest sexually transmitted infections worldwide. Using the best available evidence, this guideline recommends strategies for diagnosis, management and follow-up of the condition as well as for minimising transmission. Early recognition and initiation of therapy is key and may reduce the duration of illness or avoid hospitalisation with complications, including urinary retention, meningism or severe systemic illness. The guideline covers a range of common clinical scenarios, such as recurrent genital herpes, infection during pregnancy and coinfection with human immunodeficiency virus.
Radio Frequency Identification : Supply Chain Impact and Implementation Challenges

Radio Frequency Identification (RFID) technology has received considerable attention from practitioners, driven by mandates from major retailers and the United States Department of Defense. RFID technology promises numerous benefits in the supply chain, such as increased visibility, security and efficiency. Despite such attentions and the anticipated benefits, RFID is not well-understood and many problems exist in the adoption and implementation of RFID. The purpose of this paper is to introduce RFID technology to practitioners and academicians by systematically reviewing the relevant literature, discussing how RFID systems work, their advantages, supply chain impacts, and the implementation challenges and the corresponding strategies, in the hope of providing guidance for practitioners in the implementation of RFID technology and offering a springboard for academicians to conduct future research in this area.
Opinion Mining using Econometrics: A Case Study on Reputation Systems

Deriving the polarity and strength of opinions is an important research topic, attracting significant attention over the last few years. In this work, to measure the strength and polarity of an opinion, we consider the economic context in which the opinion is evaluated, instead of using human annotators or linguistic resources. We rely on the fact that text in on-line systems influences the behavior of humans and this effect can be observed using some easy-to-measure economic variables, such as revenues or product prices. By reversing the logic, we infer the semantic orientation and strength of an opinion by tracing the changes in the associated economic variable. In effect, we use econometrics to identify the “economic value of text” and assign a “dollar value” to each opinion phrase, measuring sentiment effectively and without the need for manual labeling. We argue that by interpreting opinions using econometrics, we have the first objective, quantifiable, and contextsensitive evaluation of opinions. We make the discussion concrete by presenting results on the reputation system of Amazon.com. We show that user feedback affects the pricing power of merchants and by measuring their pricing power we can infer the polarity and strength of the underlying feedback postings.
Visual Diagnosis of Tree Boosting Methods

Tree boosting, which combines weak learners (typically decision trees) to generate a strong learner, is a highly effective and widely used machine learning method. However, the development of a high performance tree boosting model is a time-consuming process that requires numerous trial-and-error experiments. To tackle this issue, we have developed a visual diagnosis tool, BOOSTVis, to help experts quickly analyze and diagnose the training process of tree boosting. In particular, we have designed a temporal confusion matrix visualization, and combined it with a t-SNE projection and a tree visualization. These visualization components work together to provide a comprehensive overview of a tree boosting model, and enable an effective diagnosis of an unsatisfactory training process. Two case studies that were conducted on the Otto Group Product Classification Challenge dataset demonstrate that BOOSTVis can provide informative feedback and guidance to improve understanding and diagnosis of tree boosting algorithms.