nils-herrmann/clean_scirepeval huggingface dataset:
A Relationship Between Allergic Rhinitis and ABO Blood Group and Related it with Genetics in Population Based Cohort Study in Kut

*Correspondence to: Oras N. Hamad Assist lecturer in University of Wasit/Collage of Medicine, Iraq.  To find out prevalence of ABO blood groups and to investigate their association with allergic rhinitis and relate it with Genetics.  This cross sectional study was done at Kut city in Iraq from January 2015 to December 2015.  Participants including both sexes (18 60 years of age) were enrolled for the study during Hematology module. ABO blood group of study population was done by antisera method. A detailed history of study population regarding age, sex, family history and others was recorded on a preformed proforma.  In our study population, O blood group came out to be the most common (46.8% History of allergic rhinitis was reported by 55.9% of our study population. Allergic rhinitis were found high among individuals with Rh+ blood group (94.5% but the ratio was close in female and male in (55% 53% respectively. A significant association between allergic rhinitis (AR) and incident rheumatic arthritis (RA) was found in this population based cohort study. RA can occur in 31.2% of patients with AR. Blood group B was found to be at lowest risk level for allergic rhinitis (11.01% The study showed association between blood groups and allergies rhinitis as 0.072 statistically significant p value.  In the study population blood group O being the most common is at high risk level for developing allergic rhinitis while blood group B being the most protected one. This statistically significant association of various blood groups with allergic rhinitis development could help in identifying people at risk as an aid to preventive measures.
Conservation Beyond Park Boundaries: The Impact of Buffer Zones on Deforestation and Mining Concessions in the Peruvian Amazon
Venue: Environmental Management

Many researchers have tested whether protected areas save tropical forest, but generally focus on parks and reserves, management units that have internationally recognized standing and clear objectives. Buffer zones have received considerably less attention because of their ambiguous rules and often informal status. Although buffer zones are frequently dismissed as ineffective, they warrant attention given the need for landscape level approaches to conservation and their prevalence around the world in Peru, buffer zones cover >10 of the country. This study examines the effectiveness of buffer zones in the Peruvian Amazon to (a) prevent deforestation and (b) limit the extent of mining concessions. We employ covariate matching to determine the impact of 13 buffer zones on deforestation and mining concessions from 2007 to 2012. Despite variation between sites, these 13 buffer zones have prevented ~320 km2 of forest loss within their borders during the study period and ~1739 km2 of mining concessions, an outcome associated with the special approval process for granting formal concessions in these areas. However, a closer look at the buffer zone around the Tambopata National Reserve reveals the difficulties of controlling illegal and informal activities. According to interviews with NGO employees, government officials, and community leaders, enforcement of conservation is limited by uncertain institutional responsibilities, inadequate budgets, and corruption, although formal and community based efforts to block illicit mining are on the rise. Landscape level conservation not only requires clear legal protocol for addressing large scale, formal extractive activities, but there must also be strategies and coordination to combat illegal activities.
Resource Slicing in Virtual Wireless Networks: A Survey
Venue: IEEE Transactions on Network and Service Management

New architectural and design approaches for radio access networks have appeared with the introduction of network virtualization in the wireless domain. One of these approaches splits the wireless network infrastructure into isolated virtual slices under their own management, requirements, and characteristics. Despite the advances in wireless virtualization, there are still many open issues regarding the resource allocation and isolation of wireless slices. Because of the dynamics and shared nature of the wireless medium, guaranteeing that the traffic on one slice will not affect the traffic on the others has proven to be difficult. In this paper, we focus on the detailed definition of the problem, discussing its challenges. We also provide a review of existing works that deal with the problem, analyzing how new trends such as software defined networking and network function virtualization can assist in the slicing. We will finally describe some research challenges on this topic.
Software Defined Networking (SDN) and Distributed Denial of Service (DDoS) Attacks in Cloud Computing Environments: A Survey, Some Research Issues, and Challenges
Venue: IEEE Communications Surveys Tutorials

Distributed Denial of Service (DDoS) attacks in cloud computing environments are growing due to the essential characteristics of cloud computing. With recent advances in software defined networking (SDN) SDN based cloud brings us new chances to defeat DDoS attacks in cloud computing environments. Nevertheless, there is a contradictory relationship between SDN and DDoS attacks. On one hand, the capabilities of SDN, including software based traffic analysis, centralized control, global view of the network, dynamic updating of forwarding rules, make it easier to detect and react to DDoS attacks. On the other hand, the security of SDN itself remains to be addressed, and potential DDoS vulnerabilities exist across SDN platforms. In this paper, we discuss the new trends and characteristics of DDoS attacks in cloud computing, and provide a comprehensive survey of defense mechanisms against DDoS attacks using SDN. In addition, we review the studies about launching DDoS attacks on SDN, as well as the methods against DDoS attacks in SDN. To the best of our knowledge, the contradictory relationship between SDN and DDoS attacks has not been well addressed in previous works. This work can help to understand how to make full use of SDN's advantages to defeat DDoS attacks in cloud computing environments and how to prevent SDN itself from becoming a victim of DDoS attacks, which are important for the smooth evolution of SDN based cloud without the distraction of DDoS attacks.
A Survey and Taxonomy on Medium Access Control Strategies for Cooperative Communication in Wireless Networks: Research Issues and Challenges
Venue: IEEE Communications Surveys Tutorials

Cooperative communication (CC) has been introduced as an effective technique to combat the detrimental effects of channel fading by exploiting spatial diversity gain, resulting in improved throughput and network performance. CC provides an opportunity for single antenna nodes to share their resources and construct a virtual antenna array at a lower cost. As a result, CC is considered an efficient solution for mobile nodes where some difficulties in terms of physical size and energy consumption arise from implanting multiple antennas. However, since CC is a new technology it brings new challenges that should be adequately addressed to render it a viable solution for wireless communication. Parameters such as link reliability, energy efficiency, overall throughput, and network performance are all affected by cooperative transmission. Besides, nodes' operation in physical layer should be coordinated with higher layers, especially with medium access control (MAC) for reliable operation in time varying channels. Accordingly, designing a cooperative MAC protocol that supports node coordination, error recovery and dynamic link optimization is important. In this paper, the most well known cooperative MAC protocols are classified based on their channel access strategy into two groups: 1) contention based and 2) contention free schemes. At first, the preliminaries, constraints, and requirements for designing effective cooperative MAC protocols are illustrated. Then the current state of the art cooperative MAC protocols are surveyed by benchmarking their scheduling schemes, characteristics, benefits, and drawbacks, in line with the suggested taxonomy. The cooperative MAC protocols are classified and analyzed based on their application and network utilized into five subsections, including vehicular networks, cognitive networks, multi hop protocols, cross layer protocols, and network coding based protocols. Finally, challenges, open issues, and solutions are considered, which may be used in improving the available schemes or designing more reliable and effective cooperative MAC protocols in the future.
Awe's effects on generosity and helping

It is unclear whether positive emotionality in general, or some specific positive emotions (e.g. other oriented ones) but not others (e.g. self oriented and, possibly, stimulus oriented ones) enhance prosocial thoughts, dispositions, and behavior. We focus here on awe and argue that, although being primarily stimulus oriented and not necessarily social in its very nature, awe should enhance prosociality for several theoretical reasons. In replicating and extending previous initial research, we found in two online experiments that the induction of awe (video clip or recall) compared to the induction of amusement or a neutral condition, leads to increased prosocial behavioral intentions of generosity (spontaneous sharing of hypothetical gains) and help of a person in need in hypothetical everyday life situations. Awe's effect on prosociality was independent from participants' religiosity (in both experiments) but seemed to be clearer for those in need of such affective stimulation, i.e. less agreeable participants (Experiment 2)
The Effect of Velocity of Joint Mobilization on Corticospinal Excitability in Individuals With a History of Ankle Sprain.
Venue: The Journal of orthopaedic and sports physical therapy

Joint mobilization and manipulation decrease pain and improve patient function. Yet, the processes underlying these changes are not well understood. Measures of corticospinal excitability provide insight into potential mechanisms mediated by the central nervous system.  To investigate the differential effects of joint mobilization and manipulation at the talocrural joint on corticospinal excitability in individuals with resolved symptoms following ankle sprain.  Twenty seven participants with a history of ankle sprain were randomly assigned to the control, joint mobilization, or thrust manipulation group. The motor evoked potential (MEP) and cortical silent period (CSP) of the tibialis anterior and gastrocnemius were obtained with transcranial magnetic stimulation at rest and during active contraction of the tibialis anterior. The slopes of MEP/CSP input/output curves and the maximal MEP/CSP values were calculated to indicate corticospinal excitability. Behavioral measures, including ankle dorsiflexion and dynamic balance, were evaluated.  A repeated measures analysis of variance of the MEP slope showed a significant group by time interaction for the tibialis anterior at rest (P .002) and during active contraction (P .042) After intervention, the thrust manipulation group had an increase in corticospinal excitability, while the corticospinal excitability decreased in the mobilization group. The thrust manipulation group, but not other groups, also demonstrated a significant increase in the maximal MEP amplitude of the tibialis anterior after intervention.  The findings suggest that joint manipulation and mobilization have different effects on corticospinal excitability. The increased corticospinal excitability following thrust manipulation may provide a window for physical therapists to optimize muscle recruitment and subsequently movement.
DCASE 2016 ACOUSTIC SCENE CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORKS

This workshop paper presents our contribution for the acoustic scene classification (ASC) task proposed for the "detection and classification of acoustic scenes and events" (DCASE) 2016 challenge. We propose the use of a convolutional neural network trained to classify short sequences of audio, represented by their log mel spectrogram. We also propose a training method that can be used when the system validation performance saturates as the training proceeds. The system is evaluated on the public ASC development dataset provided for the DCASE 2016 challenge. The best accuracy score obtained by our system on a four fold cross validation setup is 79.0% which constitutes a 8.8% relative improvement with respect to the baseline system.
Workplace incivility and its effect upon restaurant frontline service employee emotions and service performance

This study aims to acquire a better understanding about consequences of workplace incivility upon restaurant frontline service employees caused by customers, supervisors and coworkers. The moderating roles of perceived organizational support (POS) and emotion regulation ability (ERA) were also tested to determine the possibility for reducing the negative effect of workplace incivility upon the emotional exhaustion of restaurant frontline service employees.  Using data obtained from 239 restaurant frontline service employees, a 35 item instrument was used to assess workplace incivility and its effects upon emotional exhaustion, perceived service performance, POS and ERA. A structural equation model was used to test hypotheses. The multi group approach was used to investigate the moderating effects POS and ERA have upon the relationships between workplace incivility, emotional exhaustion and perceived service performance.  Results documented that workplace incivility significantly increases emotional exhaustion and further leads to low levels of job service performance. Customer incivility was especially found to have the strongest power for increasing emotional exhaustion, followed by supervisor incivility. Also, results confirmed that POS and ERA play significant roles in moderating the relationships between workplace incivility, emotional exhaustion and perceived service performance. Based upon this study's findings, theoretical and practical implications are offered for developing successful employee management strategies.  Results suggest specific practical management implications pertaining to restaurant frontline service employees. This study's research findings recommend the development of more efficient support programs designed to diffuse potential situations involving workplace incivility. Findings further highlight the important role employee ERA has upon the effects of incivility and frontline service performance. Implications are provided with respect to specific strategic direction management should consider to recruit and select the most appropriate employees for restaurant frontline service positions.  The current study's conceptual research was developed in an attempt to simultaneously address all three dimensions of workplace incivility to examine how they affect employee emotions and their job performance.
Aisolasi Dan Uji Daya Antimikroba Ekstrak Kulit Nanas (Ananas Comosus L. Merr)

Kandungan senyawa flavonoid dalam limbah kulit nanas memiliki prospek positif sebagai antimikroba. Penelitian ini bertujuan untuk mengetahui efektivitas antimikroba ekstrak kulit nanas basah (KNB) dan ekstrak kulit nanas kering (KNK) dan mengetahui jenis senyawa flavonoid yang berperan sebagai antimikroba terhadap S. aureus dan E. coli Flavonoid diisolasi menggunakan metode Domestic Microwave Maceration Extraction (DMME) dan partisi. Aktivitas antimikroba diuji menggunakan metode difusi sumuran. Berdasarkan hasil penelitian, ekstrak etil asetat KNB maupun ekstrak etil asetat KNK berpotensi sebagai antimikroba, namun ekstrak etil asetat KNB lebih efektif menghambat bakteri S. aureus dan E. coli dengan diameter daerah hambat (DDH) berturut turut 13 mm dan 15 mm dibanding ekstrak etil asetat KNK dengan nilai DDH berturut turut 12 dan 14,25 mm. Senyawa flavonoid dalam kulit nanas yang berperan sebagai antimikroba diduga merupakan golongan flavanon (KNB) dan dihidroflavonol (KNK) Flavonoid compound in pineapple peel waste have positive prospects for antimicrobial. This study aims at understanding effectiveness of wet pineapple peel extract and dried pineapple peel extract antimicrobial and to know the type of flavonoid compound which act as antimicrobial against S.aureus and E.coli Flavonoid was isolated using Domestic Microwave Maceration Extraction (DMME) and partitions. Antimicrobial activity was tested using pitting diffusion method. Based on the research result, wet pineapple peel extract and dried pineapple peel extract are potential to be antimicrobial. However wet pineapple peel extract is more effective to inhibit bacteria S.aureus and E.coli with Inhibitory Regional Diameter respectively 13 mm and 15 mm compared to dried pineapple peel extract with Inhibitory Regional Diameter respectively 12 and 14,25 mm. Flavonoid compound in pineapple peel that acts as an antimicrobial is thought to be flavanones (wet pineapple peel) and dihydroflavonol (dried pineapple peel)
Effect of high dose vitamin D supplementation on cardiometabolic risk factors in subjects with metabolic syndrome: a randomized controlled double blind clinical trial
Venue: Journal of Endocrinological Investigation

PurposeThe evidence in support of the effect of vitamin D deficiency on cardiovascular diseases is inconsistent. The objective of this randomized, controlled, double blind study was to assess the effect of high dose vitamin D supplementation on cardiometabolic risk factors in subjects with metabolic syndrome.MethodsEighty subjects were randomized to receive 50,000 IU vitamin D or matching placebo weekly for 16 weeks. Fasting blood sugar, homeostasis model assessment of insulin resistance, insulin sensitivity (Quicki) serum lipid profiles (low density lipoprotein cholesterol, high density lipoprotein cholesterol, triglyceride (TG) and total cholesterol) anthropometric factors and blood pressure were assessed before and after intervention. Dietary intake and sun exposure were also determined. The trial was registered at http:/www.irct.ir (code: IRCT201409033140N14).ResultsParticipants were 40.49 5.04 years and 49 male. All of the intervention group and 97 of placebo group were vitamin D deficient or insufficient (25 hydroxyvitamin D <75 nmol/L) After intervention, serum 25(OH)D concentration was increased by 61.93 nmol/L in intervention group, while it was decreased in placebo group (p 0.001) There was a significant change in TG concentration after 4 months (p 0.001) Other metabolic or anthropometric factors did not change significantly (p 0.05).ConclusionSupplementation with high dose vitamin D for 4 months improved vitamin D status and decreased TG levels in subjects with metabolic syndrome. However, it did not have any beneficial effects on other cardiometabolic risk factors; this might be due to the inadequate vitamin D status attained in this study which was conducted in a severely deficient region.
USE OF ICT IN ENGLISH LANGUAGE TEACHING AND LEARNING

R.Vijay Kumar ABSTRACT Today science, information and technology (ICT) have left their impact on every aspect of human life. Most of the significant developments that one can observe today can be attributed to the impact of science and technology. As technology has created a change in all aspects of society, it is also changing our expectations of what students must learn in order to function in the new world. Even in education sector, we witness that technological advancement and innovations have made a visible impact and have changed a scenario. The word 'ICT' includes any communication device such as computer, mobile phones, radio, television, satellite system etc. Now the role and use of technology as a tool for teaching of English language is increasing as educators have understood its ability to create both independent and collaborative learning environment in which students can learn English with much ease. Traditional methods of imparting higher education have become less motivating. Here, technology plays an important role in creating innovation and motivation for the learners. This paper will address modern technology as Information and Communication Technologies, which has become possible in our communities since the availability of computers.
The Impact of ICT Enabled English Language Teaching on the Engineering Students of Rural and Semi Urban Areas of South Tamilnadu

The suitability of technological aids plays a pivotal role in the easy and proper understanding of concepts as the present age is of innovation and advancement. A survey has been conducted on random basis with the objectives such as how far the ICT enabled teaching proved worthy to the students with specific reference to improve the basic skills of learning, how the students were aware of the latest technology and recent developments, etc. taking into account the locality of the colleges and students whether rural or semi urban areas in southern Tamilnadu.120 respondents from ten colleges, both from rural and semi urban areas, with twelve students each have been taken for analysis. For the purpose of the study, a questionnaire has been used as a tool and was given to the third year students of engineering studies as they have a paper named "Communication Skills' The hypothesis thus derived is that the ICT enabled teaching enhances the communication skills of the students in the socially backward areas once the educational institutions are equipped with all hi fi technology relating to teaching and learning.
Whose Line Is It Quote Attribution through Recurrent Neural Networks

This paper presents a recurrent neural network framework for the problem of attributing spoken lines to characters in a screenplay or novel. We study these quotes as a sequence in the absence of additional context, e.g. descriptions of scenes or actions, from the text surrounding them. Instead, attributions may only be made on the basis of learned expectations for how each character speaks, as well as an understanding of how they converse with each other. We use gated feedback recurrent neural networks, trained in a supervised fashion, for modeling both of these aspects. We evaluate the prediction model on episodes of the television show Futurama and demonstrate improvement over simpler neural network constructions.