nils-herrmann/clean_scirepeval huggingface dataset:
Les patrons de la vertu entrepreneurs de morale et instruments de mesure dans la construction de la responsabilite sociale des entreprises
Year: 2010

Cette these porte sur la construction de la responsabilite des entreprises occidentales quant au respect des droits fondamentaux des travailleurs chez leurs fournisseurs dans les pays du Sud. Depuis les annees 1990, un mouvement militant s'est constitue pour inciter les entreprises a garantir des conditions de travail decentes pour ceux qui produisent les biens qu'elles commercialisent. La premiere partie de la these est consacree a l'etude de la demande de vertu nous procedons a une analyse historique des fondements de la responsabilite des donneurs d'ordre envers les salaries de leurs fournisseurs nous etudions ensuite l'action d'une organisation militante pour organiser l'interpellation et la sanction des entreprises. La seconde partie analyse le principal procede adopte par les entreprises pour repondre aux critiques la pratique d'audits sociaux. A partir du cas d'une initiative d'entreprises europeennes, nous etudions l'instrumentation de l'audit, sa mise en oeuvre, et sa mise en cause par les militants. Nous cherchons alors a exhiber les valeurs morales sous tendues par les choix techniques des differents acteurs impliques dans l'audit. Un chapitre epilogue nous conduit vers une arene concue pour permettre la cloture du mouvement dialectique de critique et contre critique le projet d'une norme Iso 26000. A la croisee de la sociologie pragmatique et morale, de la sociologie economique, de la sociologie des mouvements sociaux, et de la sociologie des instruments de gestion, cette these eclaire les premieres phases de ce qui pourrait se stabiliser comme un nouveau mode de regulation des conditions de travail dans les echanges commerciaux internationaux.
EFFECTS THE PULSED ELECTROMAGNETIC FIELD ON THE SUPERFICIAL DIGITAL FLEXOR TENDONITIS IN DONKEY SONOGRAPHY STUDY
Year: 2018

The aim of this study was to determine the effects of pulsed electromagnetic therapy on the collagenase enzyme induced tendonitis in donkeys. Under sonogram guidance, 1000 IU of collagenase enzyme were injected in the core of superficial digital flexor tendon of right and left forelimbs of each donkey (5 donkeys, 10forelimbs) Clinical evaluations of the injected tendons were performed to assess heat, response to palpation, swelling presence, and lameness grade according to American Association of Equine Practitioners (AAEP) for two week. The sonograms of the superficial digital flexor tendons were recorded prior to injections and at days 3, 7 and 14 after the injection. When the inflammation was stabilized in two weeks, all forelimbs were divided into equal treatment and control groups. Pulsed electromagnetic therapy (600 Gauss, 50 Hz) used for treatment group for two weeks (14 days) and control group remained without any treatment. In both groups the lesion percentage, the echogenicity score, and fiber alignment score at the maximum injury zone were measured by sonogram images. Clinically 1000 IU of collagenase enzyme can induce acute tendonitis that established in two weeks. After used pulsed electromagnetic therapy for two week, sonographically, in treatment group, the results showed better scores have been obtained with time in regard to "the lesion percentages" "echogenicity" and "fiber alignment" in compare to control group. On the basis of these results can be concluded that pulsed electromagnetic therapy is a simple, inexpensive and noninvasive method with positive and encouraging effects for treatment of the superficial digital tendonitis in donkeys. Basrah Journal of Veterinary Research,Vol.17, No.3,2018 Proceeding of 6th International Scientific Conference,College of Veterinary Medicine University of Basrah,Iraq
CD HIT: accelerated for clustering the next generation sequencing data
Venue: Bioinform.
Year: 2012

CD HIT is a widely used program for clustering biological sequences to reduce sequence redundancy and improve the performance of other sequence analyses. In response to the rapid increase in the amount of sequencing data produced by the next generation sequencing technologies, we have developed a new CD HIT program accelerated with a novel parallelization strategy and some other techniques to allow efficient clustering of such datasets. Our tests demonstrated very good speedup derived from the parallelization for up to ~24 cores and a quasi linear speedup for up to ~8 cores. The enhanced CD HIT is capable of handling very large datasets in much shorter time than previous versions.  http:/cd hit.org.  Supplementary data are available at Bioinformatics online.
TURK LIRASI'NA SIMGE BELIRLENMESI OPERASYONUNA YONELIK TUTUM OLCEGI GELISTIRILMESI
Year: 2016

Turkiye Cumhuriyeti Merkez Bankasi tarafindan, Turk Lirasi'nin itibarinin ve dunyadaki bilinirliginin arttirilmasi hedefiyle, 2011 yilinda "Simge Tasarim Yarismasi" duzenlenmis, yarisma sonucunda Turk Lirasi'nin simgesi belirlenerek 1 Mart 2012 tarihinde kamuoyuna duyurulmustur. Bu calismanin amaci, bireylerin simge operasyonuna iliskin tutumlarini belirleyen Likert Tipi gecerli ve guvenilir bir olcek gelistirmektir. 22 maddeden olusan ve 5'li likert dereceleme turundeki olcek Giresun ili, Gorele ilce merkezinde 382 kisiye uygulanmistir. Ilk etapta ankette sorulan 22 soruya iliskin guvenilirlik testi yapilmis, ancak daha sonra guvenilirliligi bozdugu dusunulen 2 soru cikarilarak analizler gerceklestirilmistir. Olcegin son halinin Cronbachs' Alpha degeri (a= 0,944) bulunmustur. Yuksek bir guvenilirlik derecesi saglandigindan, 20 anket sorusu icin faktor analizi gerceklestirilmistir. Acimlayici faktor analizinde bir araya gelen maddelerin incelenmesi sonucunda "TL Simgesine Yonelik Tutum Olcegi" icin 4 faktor belirlenmis ve isimlendirilmistir. Bunlar "Ekonomik Bakis" "Gereklilik " "Begeni" ve "Adaptasyon"dur.
Semi Supervised Deep Transfer Learning Based on Adversarial Feature Learning for Label Limited SAR Target Recognition
Venue: IEEE Access
Year: 2019

The data driven convolutional neural networks (CNNs) have achieved great progress in Synthetic Aperture Radar automatic target recognition (SAR ATR) after being trained in a large scale of labeled samples. However, the insufficiency of labeled SAR data always leads to over fitting, causing significant performance degradation. To solve the mentioned problem, a semi supervised transfer learning method based on generative adversarial networks (GANs) is presented in the present paper. The discriminator of GAN with an encoder and a discriminative layer is redesigned to make it capable of learning the feature representation of input data with unsupervised settings. Instead of training a deep neural network with the insufficient labeled data set, we first train a GAN with varieties of unlabeled samples to learn generic features of SAR images. Subsequently, the learned parameters are readopted to initialize the target network to transfer the generic knowledge to specific SAR target recognition task. Lastly, the target network is fine tuned using both the labeled and unlabeled training samples by a semi supervised loss function. We evaluate the proposed method on the MSTAR and OpenSARShip data set with 80% 60% 40% and 20% of the training set labeled, respectively. The results suggest that the proposed method achieves up to 23.58% accuracy enhancement over the random initialized model.
A Comparative Analysis of Using the Capability Notion for Congruent Business and Information Systems Engineering
Venue: Complex Syst. Informatics Model. Q.
Year: 2017

The notion of capability has been gaining a growing attention in the business and information system (IS) engineering community due to a number of reasons: it facilitates focus on business investments, it can be used as a baseline for business planning, and it directly leads to service specification and design. It is not however widely known to what extent capability is considered in different modeling approaches, how it is defined, and what purpose it fulfills. This article analyzes how the notion of capability is included in the frameworks spanning from business oriented such as Business Architecture and Business Value Modeling, to the alignment oriented represented by Enterprise Architecture (EA) and Enterprise Modeling (EM) The results of the analysis have shown that capability has widespread presence in the frameworks and that its conceptual meaning is largely similar, while the intentions and the mechanisms of its use differ, which raises stimulating opportunities for new contributions and improvements in the field.
The impact of third country exchange rate risk on international air travel flows: The case of Korean outbound tourism demand
Year: 2020

While the relationship between exchange rate risk and trading activity has been studied extensively, little attention has been paid to assessing exchange rate volatility in a travel demand model. This paper aims to examine the short and long run effects of real income, population, exchange rate, and exchange rate volatility on tourist flows from South Korea to Japan, Philippines, Singapore, Taiwan, and the US. To analyze the impacts of third country exchange rate risk factors, this study takes into consideration two measures of real exchange rate volatility: the GARCH based measure and the standard deviation of real exchange rates. The long run results show that income growth in South Korea is driving the rising number of Korean outbound tourists, while real exchange rate has little impact on outbound tourism demand in South Korea. More importantly, the third country effects of exchange rate volatility are found to be significant for the selected tourism destinations. An increase in third country exchange rate risk tends to have a positive impact on Korean outbound tourism demand for the selected destinations, indicating that risk averse Korean outbound tourists choose destinations where exchange rates are less volatile compared to destinations where they are more volatile. This study also finds evidence that Korean outbound tourists are less responsive to third country exchange rate risk in the short run.
Rapid polymerization synthesizing high crystalline g C3N4 towards boosting solar photocatalytic H2 generation
Year: 2020

Graphitic carbon nitride (g C3N4) is a promising metal free photocatalyst for solar photocatalytic hydrogen gas (H2) generation from water. In particularly, high crystalline g C3N4 (GCN HC) material with fewer structural defects possesses the fast photoexcited electron hole pair's separation efficiency as comparison with bulk g C3N4 (GCN B) powders, leading to the drastic improvement of photocatalytic activity. However, the fabrication of such GCN HC photocatalyst by a simple and economical synthesis approach still remains a challenge. Herein, we firstly develop a one step rapid polymerization strategy for synthesizing the GCN HC, that is direct calcination of melamine at 550 degC not only without the early heating process, but also without the assistance of any additive or salt intercalation. As a result, the GCN HC exhibits an obviously boosting visible light induced photocatalytic H2 generation performance, which is over 2.06 folds much greater than that of GCN B. Our work provides an available one step synthetic strategy for the large scale preparation of high performance GCN HC towards sustainable solar to chemical energy conversion.
Internet Based HIV Prevention With At Home Sexually Transmitted Infection Testing for Young Men Having Sex With Men: Study Protocol of a Randomized Controlled Trial of Keep It Up! 2.0
Venue: JMIR research protocols
Year: 2017

Human immunodeficiency virus (HIV) infections are increasing among young men who have sex with men (YMSM) yet few HIV prevention programs have studied this population. Keep It Up! (KIU! an online HIV prevention program tailored to diverse YMSM, was developed to fill this gap. The KIU! 2.0 randomized controlled trial (RCT) was launched to establish intervention efficacy.  The objective of the KIU! study is to advance scientific knowledge of technology based behavioral HIV prevention, as well as improve public health by establishing the efficacy of an innovative electronic health (eHealth) prevention program for ethnically and racially diverse YMSM. The intervention is initiated upon receipt of a negative HIV test result, based on the theory that testing negative is a teachable moment for future prevention behaviors.  This is a two group, active control RCT of the online KIU! intervention. The intervention condition includes modules that use videos, animation, games, and interactive exercises to address HIV knowledge, motivation for safer behaviors, self efficacy, and behavioral skills. The control condition reflects HIV information that is readily available on many websites, with the aim to understand how the KIU! intervention improves upon information that is currently available online. Follow up assessments are administered at 3, 6, and 12 months for each arm. Testing for urethral and rectal sexually transmitted infections (STIs) is completed at baseline and at 12 month follow up for all participants, and at 3 and 6 month follow ups for participants who test positive at baseline. The primary behavioral outcome is unprotected anal sex at all follow up points, and the primary biomedical outcome is incident STIs at 12 month follow up.  Consistent with study aims, the KIU! technology has been successfully integrated into a widely used health technology platform. Baseline enrollment for the RCT was completed on December 30, 2015 (N=901) and assessment of intervention outcomes is ongoing at 3 6 and 12 month time points. Upon collection of all data, and after the efficacy of the intervention has been evaluated, we will explore whether the KIU! intervention has differential efficacy across subgroups of YMSM based on ethnicity/race and relationship status.  Our approach is innovative in linking an eHealth solution to HIV and STI home testing, as well as serving as a model for integrating scalable behavioral prevention into other biomedical prevention strategies.
Polyadenylation in RNA Degradation Processes in Plants
Year: 2011

Although polyadenylation is best known for stabilizing eukaryotic mRNAs and promoting their translation, the primordial role of polyadenylation is to target RNAs for degradation by 3' 5' exoribonucleases. This ancient mechanism is conserved among bacteria and eukaryotes, and in plants, polyadenylation assisted RNA degradation operates in the nucleus, the chloroplast, and the mitochondrion. Polyadenylation assisted RNA degradation contributes to maturation, turnover, and quality control of a variety of transcripts, the nature of which varies in the different genetic compartments of the plant cell. Moreover, polyadenylation assisted RNA degradation rapidly removes a large variety of novel transcripts of unknown function that are produced by extensive transcription of extragenic regions, in particular from nuclear and mitochondrial genomes. In this chapter, we review the current knowledge of polyadenylation assisted RNA degradation in plants, highlighting the different impact of this RNA degradation pathway on the expression of nuclear, plastidial, or mitochondrial genomes.
Using Scrum in Global Software Development: A Systematic Literature Review
Venue: 2009 Fourth IEEE International Conference on Global Software Engineering
Year: 2009

There is a growing interest in applying agile practices in Global Software Development (GSD) projects. The literature on using Scrum, one of the most popular agile approaches, in distributed development projects has steadily been growing. However, there has not been any effort to systematically select, review, and synthesize the literature on this topic. We have conducted a systematic literature review of the primary studies that report using Scrum practices in GSD projects. Our search strategy identified 366 papers, of which 20 were identified as primary papers relevant to our research. We extracted data from these papers to identify various challenges of using Scrum in GSD. Current strategies to deal with the identified challenges have also been extracted. This paper presents the review's findings that are expected to help researchers and practitioners to understand the challenges involved in using Scrum for GSD projects and the strategies available to deal with them.
The Improvements of Text Rank for Domain Specific Key Phrase Extraction
Year: 2016

TextRank is a common method to extract keyphrases which are important for many tasks of Natural Language Processing. Although Term Frequency and Inverse Document Frequency (TFIDF) is used to calculate the node weight in improved TextRank method for Keyphrase extraction in previous work, it performs poorly when extracting domain specific keyphrase. In this paper, we introduce Average Term Frequency(ATF) and Document Frequency(DF) to calculate the node weight. Further, we incorporate node weights and semantic relationship of two words into a new method Hybrid TextRank for extracting Keyphrase from specific domain. When using these improvements approaches to extract keyphrases from a Tibetan religion domain, experiments demonstrate that hybrid TextRank is better than the others and its precisions of Top 10, 20, 30 words reach 90% 85% 80%
Perceptual Video Coding Scheme Using Just Noticeable Distortion Model Based on Entropy Filter
Venue: Entropy
Year: 2019

Because perceptual video coding (PVC) can reduce bitrates with negligible visual quality loss in video compression, a PVC scheme based on just noticeable distortion (JND) model is proposed for ultra high definition video. Firstly, the proposed JND model is designed, considering the spatial JND characteristics such as contrast sensitivity, luminance adaptation and saliency weight factor. Secondly, in order to perform precise JND suppression, the Gauss differential entropy (GDE) filter is designed to divide the image into smooth and complex texture region. Thirdly, through incorporating the proposed JND model into the encoding process, the transform coefficients are suppressed in harmonization with the transform/quantization process of high efficiency video coding (HEVC) In order to achieve the JND suppression effectively, a distortion compensation factor and distortion compensation control factor are incorporated to control the extent of distortion in the rate distortion optimization process. The experimental results show that the proposed PVC scheme can achieve a remarkable bitrate reduction of 32.98% for low delay (LD) configuration and 28.61% for random access (RA) configuration with a negligible subjective quality loss. Meanwhile, the proposed method only causes about average 12.94% and 22.45% encoding time increase under LD and RA configuration compared with an HEVC reference software, respectively.
Gestion de la Calidad en la Educacion Superior
Year: 2020

La gestion de la calidad es un concepto importante en la educacion superior, ya que ayuda a garantizar que el programa curricular se ajuste a las necesidades de los estudiantes y a las necesidades economicas y sociales de su entorno. Sin embargo, la investigacion academica sobre la practica en la educacion superior es limitada debido a las culturas arraigadas que perciben las revisiones de terceros como una interferencia injustificada. Ademas, la definicion ambigua de los terminos por parte de los diferentes autores significa que los subsiguientes investigadores a menudo tienen interpretaciones contradictorias de los resultados de la investigacion. Metodologicamente se llevo a cabo una revision sistematica de la literatura disponible revisada por pares sobre la gestion de la calidad en la educacion superior. Los criterios de inclusion se centraron en la educacion superior y la publicacion en la ultima decada. Asimismo, se categorizo los resultados por metodologia y enfoque para comprender el estado de arte del conocimiento e identificar la necesidad de profundizar en la investigacion.
Remediation of arsenic in mung bean (Vigna radiata) with growth enhancement by unique arsenic resistant bacterium Acinetobacter lwoffii.
Venue: The Science of the total environment
Year: 2018

Arsenic, a carcinogenic and toxic contaminant of soil and water, affects human health adversely. During last few decades, it has been an important global environmental issue. Among several arsenic detoxification methods remediation using arsenic resistant microbes is proved to be environment friendly and cost effective. This study aimed to test the effects of arsenic utilizing bacterial strain Acinetobacter lwoffii (RJB 2) on arsenic uptake and growth of mung bean plants (Vigna radiata) RJB 2 exhibited tolerance up to 125mM of arsenic (V) and 50mM of arsenic (III) RJB 2 produced plant growth promoting substances e.g. indole acetic acid (IAA) siderophores, exopolysaccharide (EPS) and phosphate solubilization in the absence and in presence of arsenic. Pot experiments were used to scrutinize the role of RJB 2 on arsenic uptake and growth of mung bean plants grown in soil amended with 22.5mgkg 1 of sodium arsenate (Na2HAsO4*7H2O) RJB 2 could arrest arsenic uptake in just 7days and increase plant growth, number of plants per pot, chlorophyll and carotenoid content of the mung bean plants. RJB 2 formed biofilm and its root association helped to abate arsenic uptake in mung bean. Confocal and light microscopic studies also revealed the abatement of arsenic uptake and increase in chlorophyll content in mung bean plants in presence of RJB 2. RJB 2 was also responsible for less production of reactive oxygen species (ROS) in mung bean plants reducing the oxidative damage caused by arsenic. The lower percentage of electrolytic leakage (EL) in RJB 2 inoculated mung bean plants proved arsenic abatement. The study also reported the distribution of arsenic in various parts of mung bean plant. RJB 2 owing to its intrinsic abilities of plant growth promotion even in presence of high concentrations of arsenic could inhibit arsenic uptake completely and therefore it could be used in large scale cultivation for phytostabilization of plants.
Enhancement of the isopropanol gas sensing performance of SnO2/ZnO core/shell nanocomposites
Year: 2017

Pure SnO2, ZnO nanoparticles, and a SnO2/ZnO core/shell nanocomposite (NC) were prepared via a sol gel technique. The structure and morphology of the obtained materials were characterized by X ray diffraction (XRD) micro Raman spectroscopy, high resolution transmission electron microscopy (HRTEM) and scanning electron microscopy (SEM) The results showed that highly crystalline materials were formed, and the resulting composites exhibited core/shell structure with a size of 30 nm, whereas the fabricated films exhibited porous morphology. The gas sensing performance of the SnO2, ZnO nanoparticles, and the SnO2/ZnO NC films was investigated for different volatile organic compound (VOC) vapors in the temperature range from 150 to 350 degC. The gas sensing results confirmed that the SnO2/ZnO NC film shows a high selectivity, sensitivity, good stability, and fast response time towards isopropanol at the optimum operating temperature of 300 degC.