nils-herrmann/clean_scirepeval huggingface dataset:
MAKNA DAN GAYA BAHASA PADA LIRIK LAGU DANGDUT VIA VALLEN DALAM ALBUM "SAYANG" KAJIAN SEMANTIK
Year: 2019

Penelitian ini mengkaji tentang makna dan gaya bahasa pada lirik lagu dangdut Via Vallen dalam album "Sayang" yang bertujuan untuk mendiskripsikan makna yang terkandung setiap liriknya. Penelitian ini menggunakan metode deksriptif kualitatif dengan memamparkan hasil analisis dari makna dan gaya bahasa pada lirik lagu Via Vallen. Data yang dikumpulkan dalam bentuk teks yang telah diklarifikasikan berdasarkan teori. Teori yang digunakan adalah teori makna dan gaya bahasa. Hasil penelitian dari lirik lagu dijabarkan sebagai berikut: (1) pertama, penggunaan gaya bahasa yang terdapat pada lirik lagu meliputi gaya bahasa berupa personifikasi, hiperbola, sinekdos, ironi, metafora, litoles. Dari sembilan gaya bahasa yang terdapat pada lirik lagu album "sayang" Gaya bahasa yang paling banyak digunakan adalah gaya bahasa metafora (2) sepuluh lagu dalam album Sayang menggunakan lima jenis diksi, yaitu konotatif, tematik, stilistik perulangan, stilistik perbandingan, dan reflektif. (3) lagu Via Vallen berisi tentang suatu kejadian, patah hati, kesedihan karena hubungan kasih yang tidak berjalan dengan baik dan berbagai hal yang berkaitan di kehidupan masyarakat.
Sustainable Tourism Development: A Study on Community Resilience for Rural Tourism in Malaysia
Year: 2015

The paper discusses the resiliency of the rural communities in Malaysia with the help of the sustainability planning in rural tourism. It covers the rural sustainable development background, the community resiliency elements and the role of the local government. The methodology includes site observation and extensive literature reviews. The findings of the research suggest that a sustainable tourism development in rural area will contribute to an improved resiliency within the local community. Some strategies are needed to ensure the sustainable development or rural tourism and to sustain the local community resiliency.
Mortalite liee a l'insuffisance cardiaque en milieu cardiologique Guineen
Year: 2019

L'insuffisance cardiaque (IC) est une affection chronique, complexe et grave, dont la symptomatologie est susceptible d'affecter fortement la qualite de vie des patients atteints avec une letalite elevee. Elle constitue un probleme important de sante publique. Elle represente la premiere cause d'hospitalisation des plus de 60 65 ans. Il s'agissait d'une etude retrospective descriptive transversale faite au service de cardiologie de l'hopital national Ignace Deen CHU de Conakry. Les donnees ont ete recueillies a partir de dossiers de patients hospitalises pour insuffisance cardiaque pendant la periode allant du 01 Janvier 2018  La mortalite de l'IC a ete determinee a partir des dossiers de tous les patients decedes admis pour insuffisance cardiaque durant periode d'etude. Cette etude nous permis de connaitre la mortalite liee a l'insuffisance cardiaque qui etait de 9.6% au service de cardiologie de l'hopital national Ignace Deen. Ce taux etait inferieur aux resultats de certains travaux africains notamment au Gabon avec 10.3% a Lome avec 11.86% et au Nigeria avec 10.1% Cependant notre resultat est superposable a celui de Yaounde qui etait de 9.03% Il reste superieur a celui du Maroc avec 6.1% La mortalite de l'insuffisance cardiaque reste non negligeable. Celle ci devrait etre depistee aussi precocement que possible et prise en charge correctement.
What is eSports and why do people watch it?
Venue: Internet Res.
Year: 2017

In this study we investigate why do people spectate eSports on the internet. We define eSports (electronic sports) as a form of sports where the primary aspects of the sport are facilitated by electronic systems; the input of players and teams as well as the output of the eSports system are mediated by human computer interfaces. In more practical terms, eSports refer to competitive video gaming (broadcasted on the internet).Methodology: We employed the MSSC (Motivations Scale for Sports Consumption) which is one of the most widely applied measurement instruments for sports consumption in general. The questionnaire was designed and pre tested before distributing to target respondents (N=888) The reliability and validity of the instrument both met the commonly accepted guidelines. The model was assessed first by examining its measurement model and then the structural model. The results indicate that escapism, acquiring knowledge about the games being played, novelty and eSports athlete aggressiveness were found to positively predict eSport spectating frequency. During recent years, eSports (electronic sports) and video game streaming have become rapidly growing forms of new media in the internet driven by the growing provenance of (online) games and online broadcasting technologies. Today, hundreds of millions of people spectate eSports. The present investigation presents a large study on gratification related determinants of why people spectate eSports on the internet. Moreover, the study proposes a definition for eSports and further discusses how eSports can be seen as a form of sports.
NETWORK INTRUSION DETECTION PREVENTION SYSTEM USING FUZZY LOGIC AND GENETIC ALGORITHM
Year: 2016

Now a day is very important to maintain a high level security to keep information safe and secure between different organizations. The data communication over internet is always under threat of intrusions and misuses. Thus the intrusion Detection Systems have become a need in network security. Fuzzy logic and Genetic Algorithm are two techniques that can use combine to classify network attack information. Fuzzy rule is a machine learning algorithm that can classify network attack data, while a genetic algorithm is an optimization algorithm that can use to find appropriate fuzzy rule and give the best solution. The objective of this paper is to describe a fuzzy genetic based learning algorithm and discuss its usage to detect intrusion in a computer network.
Style Transfer as Unsupervised Machine Translation
Venue: ArXiv
Year: 2018

Language style transferring rephrases text with specific stylistic attributes while preserving the original attribute independent content. One main challenge in learning a style transfer system is a lack of parallel data where the source sentence is in one style and the target sentence in another style. With this constraint, in this paper, we adapt unsupervised machine translation methods for the task of automatic style transfer. We first take advantage of style preference information and word embedding similarity to produce pseudo parallel data with a statistical machine translation (SMT) framework. Then the iterative back translation approach is employed to jointly train two neural machine translation (NMT) based transfer systems. To control the noise generated during joint training, a style classifier is introduced to guarantee the accuracy of style transfer and penalize bad candidates in the generated pseudo data. Experiments on benchmark datasets show that our proposed method outperforms previous state of the art models in terms of both accuracy of style transfer and quality of input output correspondence.
The Welfare Consequences and Efficacy of Training Pet Dogs with Remote Electronic Training Collars in Comparison to Reward Based Training
Venue: PloS one
Year: 2014

This study investigated the welfare consequences of training dogs in the field with manually operated electronic devices (e collars) Following a preliminary study on 9 dogs, 63 pet dogs referred for recall related problems were assigned to one of three Groups: Treatment Group A were trained by industry approved trainers using e collars; Control Group B trained by the same trainers but without use of e collars; and Group C trained by members of the Association of Pet Dog Trainers, UK again without e collar stimulation (n 21 for each Group) Dogs received two 15 minute training sessions per day for 4 5 days. Training sessions were recorded on video for behavioural analysis. Saliva and urine were collected to assay for cortisol over the training period. During preliminary studies there were negative changes in dogs' behaviour on application of electric stimuli, and elevated cortisol post stimulation. These dogs had generally experienced high intensity stimuli without pre warning cues during training. In contrast, in the subsequent larger, controlled study, trainers used lower settings with a pre warning function and behavioural responses were less marked. Nevertheless, Group A dogs spent significantly more time tense, yawned more often and engaged in less environmental interaction than Group C dogs. There was no difference in urinary corticosteroids between Groups. Salivary cortisol in Group A dogs was not significantly different from that in Group B or Group C, though Group C dogs showed higher measures than Group B throughout sampling. Following training 92% of owners reported improvements in their dog's referred behaviour, and there was no significant difference in reported efficacy across Groups. Owners of dogs trained using e collars were less confident of applying the training approach demonstrated. These findings suggest that there is no consistent benefit to be gained from e collar training but greater welfare concerns compared with positive reward based training.
Evaluation of the Insecticidal Potential of Six Plants Leaves Powders against Acanthoscelides obtectus Say on Stored Phaseolus vulgaris L.
Venue: Journal of Experimental Agriculture International
Year: 2019

Most plant powders possess insecticidal properties and can be used to control insect pests on stored products. This study was conducted to evaluate insecticidal properties of Solanum melongena, Parkia biglobosa. Ipomoea batatas, Colocasia esculenta, Tridax procumbens and Terminalia catappa against Acanthoscelides obtectus Say, an insect pest of stored Phaseolus vulgaris L. The leaves powder of these plants were assessed for aduticidal and reproduction inhibition potential as well as effect on seed weight in a completely randomized design at three treatment concentrations of 0.5% 1.0% 1.5% and 0 as the control. All the test plants investigated exhibited insecticidal activity against A. obtectus. Results showed a trend of variation in adult A. obtectus mortality according to post treatment days and plants powder concentrations. Results analysis revealed that at 14 days after treatment, T. catappa at 1.5% had the highest significant (P=0.05) mortality of 40.21+ 0.71i. This was followed by S. melongena which had a similar effect of 39.41+ 0.52i at the same concentration (1.5% The least significant mortality was observed in the control. At 0.5% T. procumbens, 0.5% Parkia biglobosa, 1.0% I. batatas and 1.0% C. esculenta, leaves powder had comparable effects. It was observed that the control had the highest number of progeny emergence of 181.33 0.88g after six weeks while T. catappa significantly (P=0.05) inhibited progeny at 1.5% followed by 1.5% S. melongena and 1.5% C. esculenta. Seeds of P. vulgaris treated with 1.5% T. catappa also had the least significant weight loss of 0.93 0.17 g compared to the control which had the highest significant weight loss of 55.68 0.79 g. Though all the plants studied caused significant increase in adult A. obtectus mortality, reduction in progeny emergence and P. vulgaris seed weight loss than the control. Terminalia catappa however, exhibited the best insecticidal potential. Terminalia catappa and Solanum melongena were very effective in inhibiting the reproduction and progeny emergence of A. obtectus, but increased adult mortality resulting in weight loss suggesting their potential in controlling A. obtectus on stored P. vulgaris.
Improving outcomes for refugee children A case study on the impact of Montessori education along the Thai Burma border
Year: 2015

There are 25 million displaced children worldwide, and those receiving schooling are often educated in overcrowded classrooms. Montessori is a child centred educational method that provides an alternative model to traditional educational approaches. In this model, students are able to direct their own learning and develop at their own pace, working with materials rather than in supervised groups or with direct teacher instruction. Because most children are working alone, teachers have more time to work one onone with children even when student teacher ratios are quite large. This gives teachers increased opportunity to tailor their teaching to the specific needs and strengths of each student. We conducted an evaluation of Montessori classroom conversion for displaced students on the Thai Myanmar border. We administered the Ages and Stages Questionnaire (ASQ) to 66 children before and after classroom conversion and across treatment and control classroom conditions. We then conducted difference in difference testing. All domains showed meaningful improvements in ASQ scores, with the Montessori students gaining 18 points relative to the traditional students (p 0.33) However, only the personal social domain of the ASQ was statistically significant (8.8 point gain for the Montessori students relative to the control, p 0.05) in our underpowered sample.
Initial diagnosis of HIV/AIDS in patients presenting to the emergency department: Imaging and clinical findings at a single institution.
Venue: Clinical imaging
Year: 2021

To evaluate the clinical, laboratory, and imaging findings along with treatment and outcomes associated with patients presenting to the emergency department (ED) who were subsequently diagnosed with HIV/AIDS.  591 patients with HIV and available imaging studies presenting to our hospital's ED between 2004 and 2019 were identified in the medical record. Following initial review, we identified 19 patients who were diagnosed with HIV within one week after an initial ED visit and also had received CT imaging during the ED visit. Demographic, clinical, treatment, imaging, and outcome data were reviewed and recorded for each patient.  Among this 19 patient cohort, the most common indication for HIV testing was oral/esophageal candidiasis (n 8, 42% 12 patients presented with an AIDS defining illness upon initial diagnosis; the most common were esophageal candidiasis (4) and Pneumocystis jiroveci pneumonia (PJP) (3) 10 patients (59% presented with CD4+ counts <200 cells/L. The most common imaging findings were liver abnormalities (n 9, 47% Five of the 19 patients were confirmed deceased at the time of this study, with the median time from diagnosis to death of 5.6 months (range 8 days 14 months)  Our series demonstrates the breadth of potential imaging findings and clinical presentations of late stage HIV in the emergency setting, including common AIDS defining illnesses such as PJP and PML. Although the incidence of these conditions is decreasing, maintaining awareness of their clinical and imaging findings, as well as the potential for multi organ involvement, is essential due to the possibility of rapid decline in these patients.
Neural Topic Model with Reinforcement Learning
Venue: EMNLP/IJCNLP
Year: 2019

In recent years, advances in neural variational inference have achieved many successes in text processing. Examples include neural topic models which are typically built upon variational autoencoder (VAE) with an objective of minimising the error of reconstructing original documents based on the learned latent topic vectors. However, minimising reconstruction errors does not necessarily lead to high quality topics. In this paper, we borrow the idea of reinforcement learning and incorporate topic coherence measures as reward signals to guide the learning of a VAE based topic model. Furthermore, our proposed model is able to automatically separating background words dynamically from topic words, thus eliminating the pre processing step of filtering infrequent and/or top frequent words, typically required for learning traditional topic models. Experimental results on the 20 Newsgroups and the NIPS datasets show superior performance both on perplexity and topic coherence measure compared to state of the art neural topic models.
Analyzing and shaping human attentional networks
Venue: Neural Networks
Year: 2006

In this paper we outline a conception of attentional networks arising from imaging studies as connections between activated brain areas carrying out localized mental operations. We consider both the areas of functional activation (nodes) and the structural (DTI) and functional connections (DCM) between them in real time (EEG, frequency analysis) as important tools in analyzing the network. The efficiency of network function involves the time course of activation of nodes and their connectivity to other areas of the network. We outline landmarks in the development of brain networks underlying executive attention from infancy and childhood. We use individual differences in network efficiency to examine genetic alleles that are related to performance. We consider how animal studies might be used to determine the genes that influence network development. Finally we indicate how training may aid in enhancing attentional networks. Our goal is to show the wide range of methods that can be used to suggest and analyze models of network function in the study of attention.
RESENA. EL DESARROLLO DEL ANALISIS DE REDES SOCIALES: UN ESTUDIO DE SOCIOLOGIA DE LA CIENCIA
Year: 2020

Resumen El desarrollo del analisis de redes sociales ha tenido una trayectoria fragmentada a lo largo de la historia reciente. Las contribuciones al analisis de redes no han evolucionado de manera conjunta, sino que diversas escuelas o tradiciones han realizado sus progresos por separado entre periodos con mayor y menor actividad. Su evolucion ha estado marcada por una progresiva especializacion donde han intervenido multitud de disciplinas. Asi, las cuatro caracteristicas que definen el analisis de redes sociales son: el enfoque estructural, el sistematico, el empleo de grafos y el uso de modelos matematicos y computacionales. A dia de hoy, el analisis de redes sociales es una disciplina madura que cuenta con numerosas publicaciones desde distintos campos de aplicacion. Palabras clave analisis de redes sociales, enfoque estructural, sociometria.
Smart textiles for personalized thermoregulation.
Venue: Chemical Society reviews
Year: 2021

Thermoregulation has substantial implications for human health. Traditional central space heating and cooling systems are less efficient due to wasted energy spent on the entire building and ignore individual thermophysiological comfort. Emerging textiles based on innovations in materials chemistry and physics, nanoscience, and nanotechnology have now facilitated thermoregulation in a far more personalized and energy saving manner. In this tutorial review, we discuss the latest technological advances in thermoregulatory textiles. First, we outline the basic mechanisms behind the physiological chemistry processes for both internal and external thermoregulation in the human body. Then, we systematically elaborate on typical smart passive and active thermoregulatory textiles considering current working mechanisms, materials engineering towards practical applications. In light of burgeoning commercial trends, we offer important insights into green chemistry for the sustainable development of smart thermoregulatory textiles. Prospectively, we propose an autonomous textile thermoregulation system that could intelligently provide personalized thermophysiological comfort in a self adaptive manner in the era of Internet of Things (IoT) The discussion of interdisciplinary interactions of energy, environmental science, and nanotechnology in this review will further promote development of the thermoregulatory textile field in both academia and industry, ultimately realizing personalized thermoregulation and a sustainable energy future.
Automatic cell nuclei segmentation and classification of cervical Pap smear images
Venue: Biomed. Signal Process. Control.
Year: 2019

Pathological examination of microscopic image of Pap smear slide remains the main method for cervical cancer diagnosis. The accurate segmentation and classification of images are two important phases of the analysis. Firstly, the Mean Shift clustering algorithm is applied to obtain regions of interest (ROI) for cell nuclei segmentation. Then the flexible mathematical morphology is applied to split overlapped cell nuclei for better accuracy and robustness. For classification of the images, features based on shape, textural features based on color space and Gabor features are extracted and put together to obtain better classification performance. The optimal feature set is obtained by chain like agent genetic algorithm (CAGA) P value and maximum relevance minimum multicollinearity (MRmMC) The proposed segmentation and classification methods were tested on 362 cervical Pap smear images. Experimental results showed that the cervical cell nuclei can be segmented by the proposed segmentation method with high effective segmentation results (Sensitivity: 94.25% 1.03% and Specificity 93.45% 1.14% The feature selection method based on CAGA with Gabor features has the highest classification performance for normal, uninvolved and abnormal images (more than 96% accuracy) The proposed method can automatically and effectively segment cell nuclei of microscopic images. From the experimental results, Gabor features and feature selection based on CAGA are apparently helpful for improving the performance of classification.
The association between health related quality of life/dietary satisfaction and perceived food environment among Japanese individuals with spinal cord injury
Venue: Spinal Cord
Year: 2017

To examine the association between health related quality of life (HRQOL)/dietary satisfaction and perceived food environment in community dwelling individuals with spinal cord injury (Members of the Spinal Injuries Japan organization.Subjects were 2007 Japanese individuals with SCI. A questionnaire conducted in 2015 included items addressing sociodemographic characteristics, HRQOL, dietary satisfaction and eight perceived food environment items. Responses from 506 individuals were analyzed (valid response rate=25% Dependent variables were the physical and mental summary scores of the HRQOL and dietary satisfaction. The independent variable was the perceived food environment. We used a univariate analysis (in Model 1) and a multivariate analysis (in Models 2 and 3) as part of a binominal logistic regression analysis. In Model 3, we divided and analyzed the perceived food environment variable into 'access to food' and 'access to information'.Both physical and mental summary scores were related to 'dietary information acquisition in the community' Dietary satisfaction was related to 'balanced meals in the household' 'food and health information available from family' and 'right health and dietary information acquisition from the media'.HRQOL and dietary satisfaction were differentially associated with perceived food environment factors in community dwelling individuals with SCI. HRQOL was positively related to dietary information of perceived food environment in the community. Dietary satisfaction was positively related to perceived food environment in the household.