nils-herrmann/clean_scirepeval huggingface dataset:
Using Citation Context to Improve the Retrieval of Research Article from Cancer Research Journals
Venue: Asian Pacific journal of cancer prevention APJCP
Year: 2019

In recent years, citation analysis tools provide many devices for finding or computing the citation score or impact factor for journals. It is important for the researchers to identify good journals for collecting research ideas discussed. A journal with a good impact factor value is preferably referred to by many researchers. In this research work, the author proposes a system for ranking journals on the basis of ideas and results cited in other papers.  The work involves the cited content extractor for extracting the descriptive features mentioned about the cited paper. The cited content refers to the content in the article written by a citing paper and relating to the cited paper. The ranking system uses a citation score estimator for computing the overall weight of the descriptive cited content relating to a specific paper in the citing papers. The journal ranking system performs classification of the citation content with the evaluation of a citation score. The work that involves the citation content is classified under different categories as positively cited, negatively cited or neutral and unrelated.  Then the computed citation score is used for ranking the dealing with research on cancer research journals. The results of the ranking journals indicate that the particular ranked journal has been cited in the literature of many journals with a good descriptive content. Journal ranking system can be considered as a well organized tool for ranking the cancer research scientific journal based on citation content and citation counting.  This experimental cancer journal ranking method increases accuracy and effectiveness by using the citation content when compared with PageRank and HITS.
Detecting and solving the kidnapped robot problem using laser range finder and wifi signal
Venue: 2017 IEEE International Conference on Real time Computing and Robotics (RCAR)
Year: 2017

This paper presents an approach to detect and solve the kidnapped robot problem using range data from a laser range finder and wifi signals. Localization based on range finders has high accuracy, but fails to detect the kidnapped robot problem, a situation where a well localized robot is moved to a random location without itself noticing about it. On the other hand, localization based on wifi signals has very high reliability and can be used to detect the occurrence of the kidnapped robot problem; but lacks accuracy. In our approach, a probability density function is constructed using particles sampled from the wifi signal models using kernel density estimation, then the likelihood of every laser range finder particle with respect to the constructed probability density function is calculated. The mobile robot reset its localization process if these probabilities are too low.
CFD Simulation of Turbulent Flows in Proto X 3 Bioenergy Micro Gas Turbine Combustor using STD k e and RNG k e Model for Green Building Application
Year: 2016

This paper presents a numerical analysis of gas flow in the annular combustion chamber of a Proto X 3 Bioenergy micro gas turbine for green building applications. The computational fluids dynamics (CFD) simulation was conducted in two dimensions, turbulent flow and gas phase combustion, with the goal of comparing the effects of different models in real conditions. Two different turbulence models, standard (STD) k e and renormalization group (RNG) k e, were applied for simulations. The fuel used was biogas produced from animal waste. Fuel consumption was assumed to be 100 kJ/s for simulations. The results of the simulations were analyzed and compared for reference. The temperature and the mass fraction of CH4, H2, O2, and CO2 distributions gave almost the same results for both models; therefore, both models (STD k e and RNG k e) could be used to represent the combustion process phenomenon without many significant differences.
Personality Traits and Social Media Use in 20 Countries: How Personality Relates to Frequency of Social Media Use, Social Media News Use, and Social Media Use for Social Interaction
Venue: Cyberpsychology Behav. Soc. Netw.
Year: 2017

This study examines the relationship between peoples' personality traits and social media uses with data from 20 societies (N 21,314) A measure of the "Big Five" personality traits is tested on key social media dimensions: frequency of use, social interaction, and news consumption. Across diverse societies, findings suggest that while extraversion, agreeableness, and conscientiousness are all positive predictors of different types of social media use, emotional stability and openness are negatively related to them.
Nonalcoholic fatty liver disease and the gut microbiome: Are bacteria responsible for fatty liver?
Venue: Experimental biology and medicine
Year: 2019

Over the last several years, a growing body of literature has linked the gut microbiome to human health and diseases such as obesity, metabolic syndrome, and nonalcoholic fatty liver disease (NAFLD) This paper will review the current literature investigating the influence of diets associated with metabolic disorders on the microbiome and how those changes promote susceptibility to metabolic disorders. It will then focus in depth on the role of the gut microbiome in NAFLD. The review will highlight associations of microbial composition and function with progression of NAFLD in patients and discuss potential mechanisms that link the gut microbiome to NAFLD. Finally, it will address limitations of existing studies along with future directions for microbiome research in NAFLD, including potential microbe related treatments. Impact statement This invited minireview for the upcoming thematic issue on the microbiome addresses the role of the microbiome in nonalcoholic fatty liver disease (NAFLD) The incidence of NAFLD has increased greatly in recent years in parallel with the rise in obesity and is now believed to have a population prevalence of 20 40% It is anticipated to soon become the primary cause of liver related morbidity and mortality, and unfortunately, there are few treatment options. Therefore, there is a critical need for improved understanding of NAFLD pathophysiology to provide new avenues for therapeutic intervention. In this paper, we have reviewed evidence from human and animal model studies that have associated microbiome composition and microbial metabolites with development and progression of NAFLD. We have also discussed proposed mechanisms by which the microbiome could contribute to NAFLD pathogenesis and addressed future directions for this field.
Hypothalamic CNTF volume transmission shapes cortical noradrenergic excitability upon acute stress
Venue: The EMBO journal
Year: 2018

Stress induced cortical alertness is maintained by a heightened excitability of noradrenergic neurons innervating, notably, the prefrontal cortex. However, neither the signaling axis linking hypothalamic activation to delayed and lasting noradrenergic excitability nor the molecular cascade gating noradrenaline synthesis is defined. Here, we show that hypothalamic corticotropin releasing hormone releasing neurons innervate ependymal cells of the 3rd ventricle to induce ciliary neurotrophic factor (CNTF) release for transport through the brain's aqueductal system. CNTF binding to its cognate receptors on norepinephrinergic neurons in the locus coeruleus then initiates sequential phosphorylation of extracellular signal regulated kinase 1 and tyrosine hydroxylase with the Ca2+ sensor secretagogin ensuring activity dependence in both rodent and human brains. Both CNTF and secretagogin ablation occlude stress induced cortical norepinephrine synthesis, ensuing neuronal excitation and behavioral stereotypes. Cumulatively, we identify a multimodal pathway that is rate limited by CNTF volume transmission and poised to directly convert hypothalamic activation into long lasting cortical excitability following acute stress.
Greenhouse gas flux at reservoirs of Jiangxi Province and its influencing factors
Year: 2017

Five reservoirs located in the Jiangxi Province(Zhelin, Baiyunshan,Doushui, Hongmen and Xiannuhu Reservoirs) were sampled in order to estimate the concentrations of greenhouse gas(GHG) in the surface of these reservoirs. The calculation for dif fusive fluxes of nitrous oxide(N2O) methane(CH4) and carbon dioxide(CO2) at the water air interface indicated that the surface of the reservoirs was a source of N2O and CH4 during the sampling period( from 0.29 to 1.05, 3.65 to 39.42 mg (m2*h) respec tively) Zhelin Reservoir( 51.56 mg (m2*h) and Xiannuhu Reservoir( 589.50 mg (m2*h) surfaces constituted sinks for CO2 In contrast, the surface of all the other reservoirs were sources of CO2(from 342.53 to 1383.21 mg (m2*h) A significant correlation was observed between the magnitude of N2 O diffusive fluxes and the TN. Water temperature, transparency and TP should affect the CH4 fluxes. There was no relationship between the CO2 emission and other environmental factors. Taking into ac count the global warming potential of N2O and CH4, the total fluxs of CO2 equivalents (TFeq CO 2 was estimated that ranged from 237.83 2267.83 mg CO2 e (m2*h).The contribution of N2O, CH4 and CO2 to TFeq CO 2 range from 13.94% to 83.26% 20.54% to 175.21% and from 140.43% to 60.99% respectively.The contribution of N2O to TFeq CO 2 were similar to that of CH4 in all res ervoirs. For Zhelin and Xiannuhu Reservoirs, the contribution of CO2 to TFeq CO 2 was negative, but it was the most significant in the other reservoirs. The TFeq CO 2 from each reservoir were equivalent to the 10.52 377.10 t C a of the carbon emissiom that were much lower than the annual CO2 emissions from themal power plants burning coal( from 0.05% to 1.12%
A tool for analyzing electrode tracks from slice histology
Year: 2018

It is now possible to record from hundreds of neurons across multiple brain regions in a single electrophysiology experiment. An essential step in the ensuing data analysis is to assign recorded neurons to the correct brain regions. Brain regions are typically identified after the recordings by comparing images of brain slices to a reference atlas by eye. This introduces error, in particular when slices are not cut at a perfectly coronal angle or when electrode tracks span multiple slices. Here we introduce SHARP Track, a tool to localize regions of interest and plot the brain regions they pass through.  Track offers a MATLAB user interface to explore the Allen Mouse Brain Atlas, register asymmetric slice images to the atlas using manual input, and interactively analyze electrode tracks. We find that it reduces error compared to localizing electrodes in a reference atlas by eye. See github.com/cortex lab/allenCCF for the software and wiki.
TMTpro reagents: a set of isobaric labeling mass tags enables simultaneous proteome wide measurements across 16 samples
Venue: Nature Methods
Year: 2020

Isobaric labeling empowers proteome wide expression measurements simultaneously across multiple samples. Here an expanded set of 16 isobaric reagents based on an isobutyl proline immonium ion reporter structure (TMTpro) is presented. These reagents have similar characteristics to existing tandem mass tag reagents but with increased fragmentation efficiency and signal. In a proteome scale example dataset, we compared eight common cell lines with and without Torin1 treatment with three replicates, quantifying more than 8,800 proteins (mean of 7.5 peptides per protein) per replicate with an analysis time of only 1.1 h per proteome. Finally, we modified the thermal stability assay to examine proteome wide melting shifts after treatment with DMSO, 1 or 20 uM staurosporine with five replicates. This assay identified and dose stratified staurosporine binding to 228 cellular kinases in just one, 18 h experiment. TMTpro reagents allow complex experimental designs all with essentially no missing values across the 16 samples and no loss in quantitative integrity. A set of isobaric labeling reagents called TMTpro enables deep quantitative comparisons of proteome measurements across 16 samples.
The moderating effects of perceived threat to valued job features on career commitment among university professors
Year: 2015

This article studies the relationships between perceptions of threats to valued job features, total job (job insecurity) and career commitment among university professors, using the context of post tenure review policy. It surveys professors from a randomly selected sample of 74 universities that have implemented post tenure review policies and processes and analyzes their responses using structural equation methods. It tests hypotheses about relationships between perceptions of threats to job features, the total job as a result of post tenure review policy, and career commitment. It finds that when post tenure review is perceived as a threat to valued job features such as job autonomy and the total job, it negatively affects measures of affective, continuance, and normative career commitments. The implications of these findings for university administrators, regents, and boards of governors contemplating the development and implementation of post tenure review policies are discussed.
Artificial Diversity and Defense Security (ADDSec) Final Report
Year: 2018

Critical infrastructure systems continue to foster predictable communication patterns and static configurations over extended periods of time. The static nature of these systems eases the process of gathering reconnaissance information that can be used to design, develop, and launch attacks by adversaries. In this research effort, the early phases of an attack vector will be disrupted by randomizing application port numbers, IP addresses, and communication paths dynamically through the use of overlay networks within Industrial Control Systems (ICS) These protective measures convert static systems into "moving targets," adding an additional layer of defense. Additionally, we have developed a framework that automatically detects and defends against threats within these systems using an ensemble of machine learning algorithms that classify and categorize abnormal behavior. Our proof of concept has been demonstrated within a representative ICS environment. Performance metrics of our proof of concept have been captured with latency impacts of less than a millisecond, on average.
What is prosperity in the Global age? Message from our experiences from the Chipko movement and the anti Tehri dam movement (Ri Yin Wen Hua Jiao Liu noJin Ri De Yi Wei (Guo Ji shinpoziumu Ri Yin Wen Hua Jiao Liu noJin Ri De Yi Wei gurobaruHua noZhong noZhen noLi kasatoha)
Year: 2008
Une French touch dans l'analyse des politiques publiques
Year: 2015

Reunissant les reflexions de politistes et sociologues francais et internationaux parmis les plus reconnus, cet ouvrage propose un etat des lieux de la discipline des politiques publiques en s'appuyant sur les travaux fondateurs de Pierre Muller, qui a fortement contribue a sa reconnaissance et a son developpement. A partir de themes fondateurs de la science politique, tels que la domination, la democratie, la place des acteurs dans les processus politiques ou le gouvernement des societes complexes, les auteur(e)s posent la question d'une specificite francaise dans l'analyse de l'action publique. Supposee mais rarement discutee en profondeur, cette French touch existe t elle et si oui, en quoi consiste t elle Cet ouvrage offre une vision panoramique des developpements methodologiques, conceptuels et pratiques de ce champ de recherche particulierement dynamique. En conclusion, Pierre Muller livre des elements d'analyse inedits sur la question du changement de l'action publique ainsi que de nouvelles pistes de recherche.
Gender Differences in the Relationships Among Major Depressive Disorder, Heavy Alcohol Use, and Mental Health Treatment Engagement Among College Students.
Venue: Journal of studies on alcohol and drugs
Year: 2016

Although major depressive disorder (MDD) and heavy episodic drinking (HED, 4+/5+ drinks in a single sitting for women/men) are common among young adults in college, the relationship between the two remains unclear. This study examined the association between MDD and HED in this population, the effect of gender on this association, and whether comorbid MDD and heavy alcohol use are associated with higher rates of mental health treatment engagement.  The study comprised 61,561 (65.3% female) undergraduate students who answered an online survey on depression, alcohol use, and treatment engagement in the past year. Hierarchical linear regressions examined the association between MDD and alcohol use (HED and peak blood alcohol concentration [pBAC] and whether gender moderated these associations. Logistic regressions were then conducted to examine the influence of MDD, heavy alcohol use, and gender on treatment engagement.  Students with MDD reported more frequent HED and higher pBAC than did students without MDD; this was especially true for female students. Rates of treatment engagement were higher among women than men, among students with MDD than students without MDD, and among female students with HED than women without HED.  The presence of an association between MDD and heavy alcohol use suggests the need for systematic screenings of both conditions. Low rates of treatment engagement in college students with MDD and heavy alcohol use calls for the development of strategies to engage this high risk group in treatment.
Temporal Deformable Convolutional Encoder Decoder Networks for Video Captioning
Venue: AAAI
Year: 2019

It is well believed that video captioning is a fundamental but challenging task in both computer vision and artificial intelligence fields. The prevalent approach is to map an input video to a variable length output sentence in a sequence to sequence manner via Recurrent Neural Network (RNN) Nevertheless, the training of RNN still suffers to some degree from vanishing/exploding gradient problem, making the optimization difficult. Moreover, the inherently recurrent dependency in RNN prevents parallelization within a sequence during training and therefore limits the computations. In this paper, we present a novel design Temporal Deformable Convolutional Encoder Decoder Networks (dubbed as TDConvED) that fully employ convolutions in both encoder and decoder networks for video captioning. Technically, we exploit convolutional block structures that compute intermediate states of a fixed number of inputs and stack several blocks to capture long term relationships. The structure in encoder is further equipped with temporal deformable convolution to enable free form deformation of temporal sampling. Our model also capitalizes on temporal attention mechanism for sentence generation. Extensive experiments are conducted on both MSVD and MSR VTT video captioning datasets, and superior results are reported when comparing to conventional RNN based encoder decoder techniques. More remarkably, TDConvED increases CIDEr D performance from 58.8% to 67.2% on MSVD.
MENGEMBANGKAN ALAT PERMAINAN TRADISIONAL CONGKLAK UNTUK MENINGKATKAN KEMAMPUAN KOGNITIF ANAK USIA 5 6 TAHUN DI TK MUTIARA HATI TAHUN PELAJARAN 2018/2019
Year: 2019

Kegiatan belajar mengajar yang ada di sekolah cenderung menggunakan sistem pembelajaran calistung yang membosankan bagi anak. Padahal prinsip pembelajaran anak usia dini adalah melalui bermain. Beberapa permainan tradisional dapat digunakan untuk menstimulasi perkembangan anak usia dini, salah satunya adalah congklak. Rumusan masalah dalam penelitian ini adalah bagaimana cara mengembangkan alat permainan tradisional congklak untuk meningkatkan kemampuan kognitif anak usia 5 6 tahun di TK Mutiara Hati Tahun Pelajaran 2018 2019. Penelitian ini bertujuan untuk mengembangkan alat permainan congklak untuk meningkatkan kemampuan kognitif anak usia 5 6 Tahun di TK Mutiara Hati Tahun Pelajaran 2018 2019 Pengembangan ini dilakukan di TK Mutiara Hati dan TK DWP Dikpora Ampenan. Uji coba produk yang dilakukan sebanyak 4 kali di TK Mutiara Hati. Dalam penelitian ini pengumpulan data menggunakan teknik observasi dan dokumentas, dengan subjek 15 orang siswa terdiri dari 8 siswa laki laki dan 7 orang siswa perempuan. Metode analisis data yang digunakan adalah metode kualitatif dan metode kuantitatif. Hasil pengembangan alat permainan tradisional congklak adalah alat permainan congklak yang memiliki 5 buah lubang dengan 3 warna di masing masing lubang (merah, kuning, dan hijau) selain itu buah congklak yang digunakan memiliki 3 warna sesuai dengan lubang congklak yaitu (merah, kuning, dan hijau) Uji coba dilakukan selama 4 kali, terdapat peningkatan persentase dari 63% menjadi 83% Berdasarkan penelitian dapat disimpulkan bahwa cara mengembangkan alat permainan tradisional congklak berdasarkan langkah langkah pelaksanaan yang sesuai dapat meningkatkan kemampuan kognitif anak usia 5 6 Tahun di TK Mutiara Hati Tahun Pelajaran 2018/2019.
Improve Unsupervised Domain Adaptation with Mixup Training
Venue: ArXiv
Year: 2020

Unsupervised domain adaptation studies the problem of utilizing a relevant source domain with abundant labels to build predictive modeling for an unannotated target domain. Recent work observe that the popular adversarial approach of learning domain invariant features is insufficient to achieve desirable target domain performance and thus introduce additional training constraints, e.g. cluster assumption. However, these approaches impose the constraints on source and target domains individually, ignoring the important interplay between them. In this work, we propose to enforce training constraints across domains using mixup formulation to directly address the generalization performance for target data. In order to tackle potentially huge domain discrepancy, we further propose a feature level consistency regularizer to facilitate the inter domain constraint. When adding intra domain mixup and domain adversarial learning, our general framework significantly improves state of the art performance on several important tasks from both image classification and human activity recognition.
'What we think is needed is a union of domestics such as the miners have' The Domestic Workers' Union of Great Britain and Ireland 1908 14
Year: 2014

This article provides the first in depth account of the Domestic Workers' Union of Great Britain and Ireland (est. 1909 10) In a period of intensifying labour unrest, young female servants working in private homes attempted to organize their own trade unions. Short lived and disrupted by the First World War, their efforts left little formal documentation and have never before been the subject of historical study. Their activities can, however, be traced in the pages of women's movement periodicals and the correspondence columns of local and radical newspapers. The idea of organizing domestic servants as workers was an anathema to many in both the labour and the women's movements. Nevertheless, the Domestic Workers' Union provides a fascinating case study of how, in this moment of exceptional social unrest, elements of trade unionism and feminism converged to challenge entrenched gendered divisions between the public and the private, the workplace and the home.