nils-herrmann/clean_scirepeval huggingface dataset:
Strategic Advantages of Social Media within Healthcare Business Activities: Organizational Practical Implications, Laws, Regulations and Theoretical Concerns

Social Media (SM) is a relatively new health communication channel that enables people to communicate and interact with a larger number of people, find and share information about their health and medical conditions, and to receive health messages. This article reviews the strategic advantages of social media within the borderless healthcare functions including the role that healthcare organizations are playing in leveraging social media platforms as part of their strategic business model. This is followed with several case studies highlighting both international and local organizations use of social media to support their healthcare business activities. Next, the concerns for healthcare organizations and health practitioners when it comes to marketing on social media are also discussed particularly the social media issues and challenges surrounding the healthcare business activities followed with suggested guidelines as way out from this cumbersome problem. Theoretical views from four leading ethical theories; Kantianism, Act Utilitarian, Rule Utilitarian and Social Contract Theory (SCT) towards the approaches to business ethics respectively using the social media as strategic advantages within the healthcare business activities will also be discussed in detail and to decide whether the act is ethically accepted by the ethical theories highlighted. The final section of this article will analyze some of the international and local policies as well as laws that govern the use of social media within the healthcare business activities including Malaysia Cyber Law Acts.
Deteksi Salmonella spp. pada Telur Ayam Konsumsi yang Dilalulintaskan melalui Pelabuhan Tenau Kupang

Salmonelosis adalah salah satu penyakit food borne bakterial zoonotik yang paling penting di seluruh dunia. Salmonella spp adalah penyebab salmonelosis akibat konsumsi makanan berbahan dasar unggas dan produk unggas yang terkontaminasi. Unggas dan telur ayam dianggap merupakan salah satu reservoir Salmonella spp yang paling penting. Salmonella spp ditularkan melalui rantai makanan dan akhirnya menular ke manusia. Meningkatkan keamanan produk unggas dengan cara deteksi dini terhadap food borne patogen merupakan komponen penting untuk membatasi kontaminasi Salmonella spp Metode deteksi dan identifikasi Salmonella spp merupakan strategi yang dirancang untuk mencegah kontaminasi unggas dan produk unggas. Tujuan dari penelitian ini adalah untuk mendeteksi Salmonella spp dari telur ayam yang berasal dari 4 pengirim telur menggunakan metode konvensional. Jumlah sampel dihitung dengan menggunakan rumus menduga prevalensi dan diambil menggunakan metode acak berlapis. Analisis data hasil positif Salmonella spp. dilakukan secara deskriptif. Berdasarkan hasil pengujian dari 270 sampel, 5 pengujian dengan metode konvensional positif Salmonella spp Berdasarkan hasil pengujian positif kontaminasi Salmonella sp p. pada telur ayam maka diperlukan evaluasi terhadap pengiriman telur ayam konsumsi antar pulau.  kontaminasi, Salmonella spp metode konvensional, telur ayam. (Detection of Salmonella spp in Commercial Hen Eggs Entering through Tenau Port Kupang) Salmonellosis is one of the most important food borne bacterial zoonotic diseases worldwide. Salmonella spp. are causative agent of salmonellosis associated with contaminated commercial poultry and poultry product. Poultry and eggs are considered one of the most important Salmonella spp reservoirs. Salmonella spp. were able to pass through the food chain and ultimately transmitted to humans. Improving safety of poultry products by early detection of food borne pathogens would be considered an important component for limiting exposure to Salmonella contamination. Detection and identification method for Salmonella spp. are considered to be an important component of strategies designed to prevent poultry and poultry product. The aims of the study were to detect Salmonella spp from hen eggs collected from 4 exporters using conventional method. Samples size were calculated using estimates prevalence formula and selected by stratified random sampling. Data regarding the proportion of Salmonella spp positive samples were analyzed descriptively. 270 samples, 5 test by conventional method were positive Salmonella spp According of positive test results Salmonella spp contamination in hen eggs was necessary to evaluate the delivery of commercial hen eggs between islands.  conventional methods, hen eggs, Salmonella spp contamination.
Climate science and slow violence: A view from political geography and STS on mobilizing technoscientific ontologies of climate change

This paper's central concern is to trace how dominant, scientific understanding of climate change is mobilized in ways that set a course towards slow violence. Slow violence is indirect, latent, and results in neglectful human suffering. It can result from particular actions or decisions; it can result from epistemic and political dominance of particular narratives or understandings. This paper takes a constructivist Science and Technology Studies (STS) perspective to look at the emergence of a technoscientific understanding of climate change and to consider political geographic implications of this interpretation. Following an overview of inroads already made in applying an STS approach to climate studies, I turn to two examples of specific scientific narratives or practices, reliance on Global Circulation Models by the Intergovernmental Panel on Climate Change (IPCC) and carbon data, to consider ways in which selective, political mobilization of these interpretations of climate change may contribute to forms of slow violence. The science in either case is not in question. Instead, the foreclosure of other ways of understanding human environment interactions is brought about in part by geopolitics as usual and through the work of powerful actors and interests. The paper argues for a re politicization of climate change and considers examples of alternative narratives and efforts towards equity and transparency.
Inkjet Printed Flexible Reconfigurable Antenna for Conformal WLAN/WiMAX Wireless Devices
Venue: IEEE Antennas and Wireless Propagation Letters

A new flexible reconfigurable antenna based on the concept of folded slot antennas is reported. The device is designed on a flexible polyethylene terephthalate substrate, and inkjet printing technology is used to fabricate the prototype. One p i n diode is incorporated on the antenna surface to redirect and redistribute the surface current resulting in a reconfigurable antenna in terms of frequency and polarization. When the p i n diode is forward biased (ON) the antenna has a single band at 2.42 GHz for WLAN wireless devices. However, when the p i n diode is reversed biased (OFF) the antenna is dual band with different polarizations at 2.36 and 3.64 GHz for WLAN and WiMAX wireless devices, respectively. The proposed antenna is simulated, fabricated, and tested for both flat and curved geometries, such as circumferential and axial cylindrical configurations, with good agreement between measurements and simulations.
Nonparametric survival analysis using Bayesian Additive Regression Trees (BART)
Venue: Statistics in medicine

Bayesian additive regression trees (BART) provide a framework for flexible nonparametric modeling of relationships of covariates to outcomes. Recently, BART models have been shown to provide excellent predictive performance, for both continuous and binary outcomes, and exceeding that of its competitors. Software is also readily available for such outcomes. In this article, we introduce modeling that extends the usefulness of BART in medical applications by addressing needs arising in survival analysis. Simulation studies of one sample and two sample scenarios, in comparison with long standing traditional methods, establish face validity of the new approach. We then demonstrate the model's ability to accommodate data from complex regression models with a simulation study of a nonproportional hazards scenario with crossing survival functions and survival function estimation in a scenario where hazards are multiplicatively modified by a highly nonlinear function of the covariates. Using data from a recently published study of patients undergoing hematopoietic stem cell transplantation, we illustrate the use and some advantages of the proposed method in medical investigations.
Existence and Stability of Standing Waves for Nonlinear Fractional Schrodinger Equations with Hartree Type and Power Type Nonlinearities

We consider the standing wave solutions for nonlinear fractional Schrodinger equations with focusing Hartree type and power type nonlinearities. We first establish the constrained minimization problem via applying variational method. Under certain conditions, we then show the existence of standing waves. Finally, we prove that the set of minimizers for the initial value problem of this minimization problem is stable.
The Neural Basis of Individual Face and Object Perception
Venue: Front. Hum. Neurosci.

We routinely need to process the identity of many faces around us, and how the brain achieves this is still the subject of much research in cognitive neuroscience. To date, insights on face identity processing have come from both healthy and clinical populations. However, in order to directly compare results across and within participant groups, and across different studies, it is crucial that a standard task is utilized which includes different exemplars (for example, non face stimuli along with faces) is memory neutral, and taps into identity matching across orientation and across viewpoint change. The goal of this study was to test a previously behaviourally tested face and object identity matching design in a healthy control sample whilst being scanned using fMRI. Specifically, we investigated categorical, orientation, and category specific orientation effects while participants were focused on identity matching of simultaneously presented exemplar stimuli. Alongside observing category and orientation specific effects in a distributed set of brain regions, we also saw an interaction between stimulus category and orientation in the bilateral fusiform gyrus and bilateral middle occipital gyrus. Generally these clusters showed the pattern of a heightened response to inverted versus upright faces, and to upright, as compared to inverted shoes. These results are discussed in relation to previous studies and to potential future research within prosopagnosic individuals.
The impact of oculomotor functioning on neuropsychological performance in Huntington disease
Venue: Journal of clinical and experimental neuropsychology

Huntington disease (HD) is a neurodegenerative condition with prominent motor (including oculomotor) cognitive, and psychiatric effects. While neuropsychological deficits are present in HD, motor impairments may impact performance on neuropsychological measures, especially those requiring a speeded response, as has been demonstrated in multiple sclerosis and schizophrenia. The current study is the first to explore associations between oculomotor functions and neuropsychological performance in HD. Participants with impaired oculomotor functioning performed worse than those with normal oculomotor functioning on cognitive tasks requiring oculomotor involvement, particularly on psychomotor speed tasks, controlling for covariates. Consideration of oculomotor dysfunction on neuropsychological performance is critical, particularly for populations with motor deficits.
Early Life Adversity and Physical and Emotional Health Across the Lifespan: A Neuroimmune Network Hypothesis
Venue: Biological Psychiatry

Children who experience chronic stressors are vulnerable to emotional and physical health problems across the lifespan. This phenomenon raises questions for scientists and clinicians alike. How does adversity get under the skin of the developing child? Through what mechanisms does it confer vulnerability to a heterogeneous set of mental and physical illnesses? And how does it instantiate risk across different life stages, engendering vulnerability to conditions that develop shortly after stressor exposure like depression and conditions that manifest decades later, like heart disease? Although answers to these questions have started to emerge, research has typically focused on single diseases or organ systems. To understand the plethora of health problems associated with childhood adversity, we argue that the field needs a second generation of research that recognizes multidirectional transactions among biological systems. To help facilitate this process, we propose a neuroimmune network hypothesis as a heuristic framework for organizing knowledge from disparate literatures and as a springboard for generating integrative research. Drawing on existing data, we argue that early life adversity amplifies crosstalk between peripheral inflammation and neural circuitries subserving threat related, reward related, and executive control related processes. This crosstalk results in chronic low grade inflammation, thereby contributing to adiposity, insulin resistance, and other predisease states. In the brain, inflammatory mediators act on cortico amygdala threat and cortico basal ganglia reward, circuitries in a manner that predisposes individuals to self medicating behaviors like smoking, drug use, and consumption of high fat diets. Acting in concert with inflammation, these behaviors accelerate the pathogenesis of emotional and physical health problems.
The elite young athlete: strategies to ensure physical and emotional health
Venue: Open access journal of sports medicine

This article presents a current review of the risk of physical and psychological injury associated with participation in elite youth sport, and suggests strategies to ensure the physical and emotional health of these young athletes. Although there is lack of epidemiological data, especially with regard to psychological injury, preliminary data suggest that the risk of injury is high in this population. While there is lack of incident and follow up data, there is also concern regarding burnout, disordered eating, and the long term consequences of injury. Modifiable injury risk factors identified include postural control, competition anxiety, life events, previous injury, and volume of training. There are presently no studies designed to determine the effectiveness of injury prevention measures in elite youth sports. However, there is adequate evidence arising from injury prevention studies of youth sports participants including neuromuscular training, protective equipment, mental training to enhance self esteem, and sport rules modification to prevent injuries in elite youth sports settings. Although not tested, psychosocial prevention strategies such as adoption of task oriented coping mechanisms, autonomous support from parents, and a proactive organizational approach also show promise in injury prevention.
Emotional health, support, and self efficacy in young adults with a history of language impairment
Venue: The British journal of developmental psychology

Children and adolescents with language impairment (LI) are at risk of emotional health difficulties. However, less is known about whether these difficulties continue into adulthood for this group, or about the potential role of environmental resources (e.g. social support) or internal resources (e.g. self efficacy) This study investigates emotional health in 81 adults with a history of developmental LI (aged 24) compared with 87 age matched peers (AMPs) using Beck Inventories. Social support and self efficacy measures were examined as predictors. The results were fourfold: (1) adults with LI had higher levels of emotional health problems; (2) whilst the availability of social support was similar across groups, people with LI received more help from others compared to peers; (3) social support was not significantly related to emotional health in those with LI in contrast, for AMPs, uptake of support indicated poorer emotional health; (4) self efficacy was the strongest predictor of emotional health in both groups and fully mediated the relationship between language and emotional health (no moderation by group) This cross sectional study has implications for concurrent factors that might affect emotional health outcomes for children and young people with and without LI.
The Effects of Mindfulness Training on Emotional Health in Chinese Long Term Male Prison Inmates
Venue: Mindfulness

Long term imprisonment can cause severe emotional problems, which in turn can trigger behavioral problems, self harm, and suicide. Mindfulness based intervention can enhance emotional health. This study investigated the effects of a 6 week mindfulness training program on the emotional health of long term male Chinese prison inmates. Forty long term male prisoners completed a pretest and posttest, with 19 in the mindfulness training group and 21 in the waitlist control group. The treatment group showed a significant improvement in mindfulness level, anxiety, depression, tension anxiety, depression dejection, anger hostility, confusion bewilderment, and total mood disturbance. Implications and limitations of this study were discussed. These results support the use of a mindfulness based intervention to enhance the emotional health of long term male prison inmates.
Neighborhood Regularized Logistic Matrix Factorization for Drug Target Interaction Prediction
Venue: PLoS Comput. Biol.

In pharmaceutical sciences, a crucial step of the drug discovery process is the identification of drug target interactions. However, only a small portion of the drug target interactions have been experimentally validated, as the experimental validation is laborious and costly. To improve the drug discovery efficiency, there is a great need for the development of accurate computational approaches that can predict potential drug target interactions to direct the experimental verification. In this paper, we propose a novel drug target interaction prediction algorithm, namely neighborhood regularized logistic matrix factorization (NRLMF) Specifically, the proposed NRLMF method focuses on modeling the probability that a drug would interact with a target by logistic matrix factorization, where the properties of drugs and targets are represented by drug specific and target specific latent vectors, respectively. Moreover, NRLMF assigns higher importance levels to positive observations (i.e. the observed interacting drug target pairs) than negative observations (i.e. the unknown pairs) Because the positive observations are already experimentally verified, they are usually more trustworthy. Furthermore, the local structure of the drug target interaction data has also been exploited via neighborhood regularization to achieve better prediction accuracy. We conducted extensive experiments over four benchmark datasets, and NRLMF demonstrated its effectiveness compared with five state of the art approaches.
Beyond the Fragment: the Postoperaist Reception of Marx's Fragment on Machines

This paper critiques the purposes to which Marx's Fragment on Machines is put in postoperaist thought. I suggest postoperaist readings wield influence on contemporary left thinking, via postcapitalism, accelerationism and 'Fully Automated Luxury Communism' Changes in labour lead proponents to posit a crisis of measurability and an incipient communism. I use the New Reading of Marx and Open Marxism to dispute this. Based on an analysis of value as a social form undergirded in antagonistic social relations, I argue the Fragment's prognosis runs contrary to Marx's critique of political economy when the latter is taken as a critical theory of society. This theoretical claim bears implications for contemporary left political praxis.
Performance analysis of virtual machines and containers in cloud computing
Venue: 2016 International Conference on Computing, Communication and Automation (ICCCA)

Cloud computing provides variety of services with the growth of their offerings. Due to efficient services, it faces numerous challenges. It is based on virtualization, which provides users a plethora computing resources by internet without managing any infrastructure of Virtual Machine (VM) With network virtualization, Virtual Machine Manager (VMM) gives isolation among different VMs. But, sometimes the levels of abstraction involved in virtualization have been reducing the workload performance which is also a concern when implementing virtualization to the Cloud computing domain. In this paper, it has been explored how the vendors in cloud environment are using Containers for hosting their applications and also the performance of VM deployments. It also compares VM and Linux Containers with respect to the quality of service, network performance and security evaluation.
TRANSFORMANDO LA BICICLETA EN LABORATORIOS MOVILES. El caso de un self tracking ciudadano para la ciudad de Santiago

Dentro de la tenencia mundial por generar ciudades mas inteligentes y sustentables, la creacion de infraestructura urbana en favor del uso de la bicicleta se ha vuelto una meta de varias capitales como es el caso de Santiago de Chile. Ante la pregunta por como definir en donde instalar esa infraestructura vial, el proyecto bottom up Stgo2020 disena un diminuto dispositivo de self tracking llamado RUBI. Este permite registrar los recorridos cotidianos de ciclistas que voluntariamente deciden colaborar con el estudio. Con esta data ciudadana, los impulsores de este proyecto han creado mapas y visualizaciones del uso de la bicicleta en la ciudad, buscando ayudar a crear mejores politicas publicas en esta materia. Desde una enfoque teorico de los Estudios de ciencia, tecnologTa y sociedad, este articulo busca abrir la caja "negra de este dispositivo" investigando de manera etnografica sus diferentes prototipos, programas, experimentaciones y decisiones inscritas en el, asi como las variadas discontinuidades y resistencias que se generan cotidianamente al insertar este dispositivo en la bicicleta y la vida de sus ciclistas. Se argumenta que el esfuerzo por laboratorizar y cuantificar la practica afectiva y sensorial del andar en bicicleta en largas series de bits de informacion, se ve siempre limitada y sobrepasada por las resistencias sociomateriales que se generan en el ensamblado de dispositivos digitales, humanos y bicicletas. De esta manera, este caso nos permitira dar ciertas luces sobre los asi denominados proyectos Smart City para la movilidad sustentable, y los problemas se que revelan cuando la ciudad, los ciudadanos y las practicas son traducidas y definidas por regimenes basados en la sensorizacion y dataficacion de la ecologia urbana