nils-herrmann/clean_scirepeval huggingface dataset:
Lean GHTorrent: GitHub data on demand
Venue: MSR 2014
Year: 2014

In recent years, GitHub has become the largest code host in the world, with more than 5M developers collaborating across 10M repositories. Numerous popular open source projects (such as Ruby on Rails, Homebrew, Bootstrap, Django or jQuery) have chosen GitHub as their host and have migrated their code base to it. GitHub offers a tremendous research potential. For instance, it is a flagship for current open source development, a place for developers to showcase their expertise to peers or potential recruiters, and the platform where social coding features or pull requests emerged. However, GitHub data is, to date, largely underexplored. To facilitate studies of GitHub, we have created GHTorrent, a scalable, queriable, offline mirror of the data offered through the GitHub REST API. In this paper we present a novel feature of GHTorrent designed to offer customisable data dumps on demand. The new GHTorrent data on demand service offers users the possibility to request via a web form up to date GHTorrent data dumps for any collection of GitHub repositories. We hope that by offering customisable GHTorrent data dumps we will not only lower the "barrier for entry" even further for researchers interested in mining GitHub data (thus encourage researchers to intensify their mining efforts) but also enhance the replicability of GitHub studies (since a snapshot of the data on which the results were obtained can now easily accompany each study)
A comparison of the prevalence of chronic endometritis determined by the use of different diagnostic methods in women with and without reproductive failure
Year: 2019

To compare the prevalence of chronic endometritis (CE) when different 50 diagnostic methods are used.  Prospective observational study.  University affiliated hospital. 53 Patient(s) Four groups of women were studied, including women with proven fertility 54 (Fertile, n=40) unexplained recurrent miscarriage (RM, n=93) recurrent implantation failure 55 (RIF, n=39) and infertile subjects undergoing endometrial scratch in a natural cycle preceding 56 frozen thawed embryo transfer (Infertility, n=48) 57 Intervention(s) Endometrial biopsy was performed precisely seven days following LH 58 surge (LH+7) Plasma cells were identified by traditional H&E staining and 59 immunohistochemistry (IHC) for Syndecan 1(CD138) 60 Main Outcome Measure(s) The prevalence of chronic endometritis. 61 Result(s) The use of CD138 epitope is more sensitive than H&E staining in identifying 62 plasma cells. The use of plasma cell count per unit area had the lowest observer variability 63 than that of cell count per 10 randomly chosen HPF or cell count per section. Using this 64 method, the prevalence of CE in women with RM, RIF and Infertility were 10.8% 7.7% and 65 10.4% respectively, not significantly higher than that of fertile subjects (5.0% 66 Conclusion(s) Using what may be a new method of plasma cell assessment, it appears that 67 the prevalence rates of CE reported in many earlier studies may have been over estimated. 68 Chinese Clinical Trials Registry Number: ChiCTR IOC 16007882 69 5
CCN Context Naming for Efficient Context Aware Service Discovery in IoT
Venue: MSPN
Year: 2019

The emergence of the Internet of Things (IoT) offers great potential for the development of new services and applications connecting the physical world to the virtual world. Due to the rapid growth and heterogeneity of connected objects, it is difficult for users to acquire precise knowledge about IoT services that can interact with. In order to effectively help end users acquire services and data generated in the IoT, search and discovery mechanisms are crucial.
Efficient and Robust Question Answering from Minimal Context over Documents
Venue: ACL
Year: 2018

Neural models for question answering (QA) over documents have achieved significant performance improvements. Although effective, these models do not scale to large corpora due to their complex modeling of interactions between the document and the question. Moreover, recent work has shown that such models are sensitive to adversarial inputs. In this paper, we study the minimal context required to answer the question, and find that most questions in existing datasets can be answered with a small set of sentences. Inspired by this observation, we propose a simple sentence selector to select the minimal set of sentences to feed into the QA model. Our overall system achieves significant reductions in training (up to 15 times) and inference times (up to 13 times) with accuracy comparable to or better than the state of the art on SQuAD, NewsQA, TriviaQA and SQuAD Open. Furthermore, our experimental results and analyses show that our approach is more robust to adversarial inputs.
Steenrod operations on the negative cyclic homology of the shc cochain algebras
Year: 2009

In this paper we prove that the Steenrod operations act naturally on the negative cyclic homology of a dierential graded algebra A over the prime field Fp satisfying some extra conditions. When A denotes the singular cochains with coecients in Fp of a 1 connected space X, these extra conditions are satisfied. The Jones isomorphism identifies these Steenrod operations with the usual ones on the S 1 equivariant cohomology of the free loop space on X with coecients in Fp. We conclude by performing some calculations on the negative cyclic homology.
Cell cycle Checkpoints and Aneuploidy on the Path to Cancer.
Venue: In vivo
Year: 2018

The cell cycle is a complex sequence of events through which a cell duplicates its contents and divides, and involves many regulatory proteins for proper cellular reproduction, including cyclin proteins and cyclin dependent kinases, oncogenes and tumor suppressor genes, and mitotic checkpoint proteins. Mutations of any of these regulatory mechanisms can lead to reproduction of cells carrying genetic mutations or abnormal numbers of chromosomes, resulting in genomic instability. Chromosomal instability, contributing to genomic instability, refers to abnormalities in the number of chromosomes, and leads to aneuploidy. The role of aneuploidy in cancer cell development is often disputed, as conflicting hypotheses and research make it unclear as to whether aneuploidy is a cause or consequence of cancer. Here, we present an overview of the importance of cell cycle checkpoint regulation and chromosomal instability in the development of cancer, and discuss evidence for conflicting arguments for the role of aneuploidy in cancer, leading us to conclude that further investigation of this role would benefit our understanding of cancer development.
Resource Allocation Algorithm for NOMA Enhanced D2D Communications with Energy Harvesting
Venue: Mob. Inf. Syst.
Year: 2020

In this work, we propose a channel allocation and power control algorithm for energy harvesting (EH) device to device (D2D) communication based on nonorthogonal multiple access (NOMA) The algorithm considers users' quality of service (QoS) and energy causality constraint to maximize the total capacity of D2D groups. The optimal offline allocation of channel and power is realized firstly. Then, the offline optimization results are taken as the training dataset to train the neural network to obtain the optimal model of the transmission power. The online power allocation optimization algorithm is further proposed. Simulation results show that the offline algorithm can improve the total capacity of D2D groups, and the performance of the online algorithm is close to the offline algorithm.
School leadership in Latin America 2000 2016
Year: 2018

School site leadership has commanded the attention of researchers and policymakers in Anglo American jurisdictions for at least two decades, but little is known about how many other parts of the globe have addressed this topic. This paper reviews published research and policy documents related to school leadership in Latin America between 2000 2016. Applying rapid mapping techniques used for scoping studies, we review 359 research and policy documents and give 'coherent, meaningful shape' to what we know and what we don't know about school leadership in the region. Attention in research and policy to school leadership in Latin America was relatively slow to arrive: whilst it grew steadily in the first decade of this century it remains low compared to other regions of the world. We provide an overview of the school leadership policy environment in several countries, describing recruitment, selection, evaluation, and job responsibilities of principals; relevant leadership frameworks; and requirements for training or professional development. We speculate on what might explain the diverse ways that school leadership has been taken up in the region: degree of school system centralization; policy borrowing; stage of development; technocratic problem solving; and neoliberal accountability.
Poly g glutamic acid derived nanopolyplexes for up regulation of gamma glutamyl transpeptidase to augment tumor active targeting and enhance synergistic antitumor therapy by regulating intracellular redox homeostasis.
Venue: Biomaterials science
Year: 2020

The active targeting strategy has achieved inspiring progress for drug accumulation in tumor therapy; however, the insufficient expression level of many potential receptors poses challenges for drug delivery. Poly g glutamic acid (g pGluA) a naturally occurring anionic biopolymer, showed high affinity with tumor associated gamma glutamyl transpeptidase (GGT) which localized on the cell surface and exhibited intracellular redox homeostasis dependent expression pattern; thus, GGT was utilized for mediating endocytosis of nanoparticles. Herein, GGT targeting nanopolyplexes (g pGluA CSO@Fe3+ PCFN) consisting of cationic chitosan and GGT targeting g pGluA blended with iron ion were constructed to load reactive oxygen species induced menadione (MA) and doxorubicin, which were utilized to investigate the mechanism of GGT up regulation. Briefly, the pretreated PCFN/MA induced an intracellular oxidative stress environment, which facilitated adjusted up regulated GGT expression and boosted tumor targeting. Subsequently, the destroyed redox homeostasis sensitized tumors for synergistic therapy. The innovative strategy of augmenting active targeting by disturbing intracellular redox homeostasis offers insight for the application of g pGluA derived nanopolyplexes.
Experimental Studies on Hydrodynamic Performance of an Artificial Reef
Year: 2019

A two dimensional experimental study has been conducted on non perforated and perforated artificial trapezoidal reefs in order to plan and prescribe suitable coastal protection measures against erosion. Multiple units of reef have been tested in order to reduce the wave transmission. However, the results for a single reef are presented in this paper. It mainly focuses on the influence of perforations and water depth on the artificial reef as a possible wave attenuator. The percentage of reduction in wave transmission is quantified. The results on the variations of transmission, reflection and loss coefficients along with the dynamic pressure exerted on the reef due to regular waves as a function of relative reef width for its different relative depths of submergence are reported in this paper.
Audio Watermarking A Survey Mr
Year: 2014

All rights reserved by www.ijsrd.com 2696  By virtue of the new advancements in computer and telecommunication networks, multimedia files are produced stored and distributed easily across the globe. However, the ownership and copyright of multimedia files are not usually protected. Digital watermarking has been proposed in recent years as a means of protecting multimedia contents from intellectual piracy .A perfect reproduction in digital domain has promoted the protection of intellectual ownership and the prevention of unauthorized tampering of multimedia data to become an important technological and research issue. Digital watermarking has been proposed as a new, alternative method to enforce intellectual property rights and protect digital media from tampering. Digital watermarking is defined as imperceptible, robust and secure communication of data related to the host signal, which includes embedding into and extraction from the host signal. The main challenge in digital audio watermarking is that if the perceptual transparency parameter is fixed, the design of a watermark system cannot obtain high robustness and a high watermark data rate at the same time.
PostAc A Visual Interactive Search, Exploration, and Analysis Platform for PhD Intensive Job Postings
Venue: ACL
Year: 2019

Over 60% of Australian PhD graduates land their first job after graduation outside academia, but this job market remains largely hidden to these job seekers. Employers' low awareness and interest in attracting PhD graduates means that the term "PhD" is rarely used as a keyword in job advertisements; 80% of companies looking to employ similar researchers do not specifically ask for a PhD qualification. As a result, typing in "PhD" to a job search engine tends to return mostly academic jobs. We set out to make the market for advanced research skills more visible to job seekers. In this paper, we present PostAc, an online platform of authentic job postings that helps PhD graduates sharpen their career thinking. The platform is underpinned by research on the key factors that identify what an employer is looking for when they want to hire a highly skilled researcher. Its ranking model leverages the free form text embedded in the job description to quantify the most sought after PhD skills and educate information seekers about the Australian job market appetite for PhD skills. The platform makes visible the geographic location, industry sector, job title, working hours, continuity, and wage of the research intensive jobs. This is the first data driven exploration in this field. Both empirical results and online platform will be presented in this paper.
Class Incremental Experience Replay for Continual Learning under Concept Drift
Venue: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2021

Modern machine learning systems need to be able to cope with constantly arriving and changing data. Two main areas of research dealing with such scenarios are continual learning and data stream mining. Continual learning focuses on accumulating knowledge and avoiding forgetting, assuming information once learned should be stored. Data stream mining focuses on adaptation to concept drift and discarding outdated information, assuming that only the most recent data is relevant. While these two areas are mainly being developed in separation, they offer complementary views on the problem of learning from dynamic data. There is a need for unifying them, by offering architectures capable of both learning and storing new information, as well as revisiting and adapting to changes in previously seen concepts. We propose a novel continual learning approach that can handle both tasks. Our experience replay method is fueled by a centroid driven memory storing diverse instances of incrementally arriving classes. This is enhanced with a reactive subspace buffer that tracks concept drift occurrences in previously seen classes and adapts clusters accordingly. The proposed architecture is thus capable of both remembering valid and forgetting outdated information, offering a holistic framework for continual learning under concept drift.
Combining Neural Networks and Log linear Models to Improve Relation Extraction
Venue: ArXiv
Year: 2015

The last decade has witnessed the success of the traditional feature based method on exploiting the discrete structures such as words or lexical patterns to extract relations from text. Recently, convolutional and recurrent neural networks has provided very effective mechanisms to capture the hidden structures within sentences via continuous representations, thereby significantly advancing the performance of relation extraction. The advantage of convolutional neural networks is their capacity to generalize the consecutive k grams in the sentences while recurrent neural networks are effective to encode long ranges of sentence context. This paper proposes to combine the traditional feature based method, the convolutional and recurrent neural networks to simultaneously benefit from their advantages. Our systematic evaluation of different network architectures and combination methods demonstrates the effectiveness of this approach and results in the state of the art performance on the ACE 2005 and SemEval dataset.
Effect of dietary inclusion of palm kernel meal on feed intake, growth and body composition of Nile Tilapia, Oreochromis niloticus reared in concrete tanks in Togo
Year: 2016

An experiment was conducted to determine the effect of inclusion of palm kernel meal on feed intake, growth and body composition of Nile tilapia Oreochromis niloticus reared in concrete tanks. Fingerlings of fish with an average initial weight 5.18 0.06 g were fed five isonitrogenous diets (R0, R1, R2, R3 and R4) containing respectively 0% 10% 20% 30% and 40% of palm kernel meal. These diets were compared with a commercial fish feed (Raanan) all about 32% After 8 weeks of experiment the final body weight varied between 25.75 g and 38.18 g according to the tested treatments. The best growth rate and food conversion ratio were obtained by feed containing 30% and 40% of palm kernel meal, with respective specific growth rate (SGR) of 3.35%/d and 3.08%/d and food conversion ratio (FCR) of 1.67 and 2.00 against a SGR of 3.58%/d and a FCR of 1.53 obtained with commercial food (RC) This successful test which allowed determining the optimal dietary inclusion of palm kernel meal at 30% in Tilapia on growing feed will be pursued by nutritional improvement tests of this ingredient in order to have a performed feed for Tilapia rearing in Togo.
Monitoring spray drift in aerial spray application based on infrared thermal imaging technology
Venue: Comput. Electron. Agric.
Year: 2016

A first study to measure pesticide drift distribution using thermal imaging.Tiny thermal differences during spray application had been measured.The drift distribution and spray range could be detected.The testing results had well agreement with the water sensitive paper method. The pesticide drift in aerial spray applications is harmful both to environment and human beings but hard to be measured. We demonstrated a new method for real time evaluation of pesticide drift which used infrared thermal imaging technology to detect the thermal differences before and after spraying process and then measured the range and concentration distribution of droplets. The drift distribution and spray range are detected using infrared thermal imaging system combined with image processing algorithms. The experiments were carried out in both ground spray and aerial spray applications. The results showed that this method had the ability to detect the tiny thermal differences during spray application and thus to monitor the aerial drifts. Furthermore, the testing results using this method had well agreement with the water sensitive paper method. Therefore, it is verified that infrared thermal imaging method combined with infrared image processing algorithms can be used to monitor the pesticide drift in aerial spray application with advantages of fast, non contact and able to realize real time measurement.
Intercultural Learning: Raising Cultural Awareness
Year: 2012

This article offers an introduction to the international field of culture pedagogy in foreign language teaching and learning with special reference to the years since 2000. After a short presentation of the multidisciplinary nature of the field and an overview of its diverse development until 2000, the article focuses on a number of contemporary trends: The increasing importance of postmodernism and its emphasis on the individual learner and his/her learning processes and intercultural competence; the development of cultural approaches to literature pedagogy working with the interplay of cultural perspectives; ethnographic approaches to intercultural learning that enable learners to create their own insights into local cultural complexities; ideas of critical citizenship that emphasize the importance of reflection, wondering, criticism and hope as a part of language and culture learning; the idea of culture in language (languaculture) and transnational perspectives on language and culture learning, which foreground the transnational flows of languages across cultural contexts, and hence suggest a more global approach to language and culture learning and the raising of (multi)cultural awareness.
Effectiveness of Exercise Interventions to Improve Postural Control in Older Adults: A Systematic Review and Meta Analyses of Centre of Pressure Measurements
Venue: Sports Medicine
Year: 2016

BackgroundPrevious reviews have shown balance in older adults to be improved with exercise. However, it is currently unclear whether postural control, indicated by centre of pressure (COP) measurement, can be improved in older adults and thus whether postural control could be a mechanism to improve balance.ObjectivesThe purpose of this systematic review was to assess the effectiveness of force platform COP variables to identify changes in postural control following exercise interventions in older adults. In addition, a secondary purpose was to determine whether the exercise types (balance, resistance or multi component exercise interventions) are equally effective to improve postural control.MethodsRandomised controlled trials were identified using searches of databases and reference lists (PROSPERO registration number CRD42014010617) Trials performing exercise interventions, reporting force platform COP measurements, in participants with a mean age of =60 years were included. Risk of bias assessments were performed following the Cochrane guidelines. Data were pooled in meta analyses, and standardised mean differences (SMDs) with 95 confidence intervals (CIs) were calculated.ResultsTwenty three trials met the inclusion criteria for the systematic review. Twenty two trials could be defined as either utilising a balance, resistance or multi component exercise intervention. These 22 trials were used in the meta analyses. All trials reported measurements of double leg stance; eight trials reported additional stance conditions. The meta analyses of double leg stance showed that balance exercise interventions significantly decreased total sway path length/velocity [SMD 1.13, 95 CI 1.75 to 0.51 (eyes open) SMD 0.79, 95 CI 1.33 to 0.26 (eyes closed) and anterior posterior sway path length/velocity [SMD 1.02, 95 CI 2.01 to 0.02 (eyes open) SMD 0.82, 95 CI 1.46 to 0.17 (eyes closed) in both eyes open and eyes closed conditions. Balance exercise interventions also decreased sway area in eyes closed conditions (SMD 0.57, 95 CI 1.01 to 0.13) and medio lateral sway path length/velocity in eyes open conditions (SMD 0.8, 95 CI 1.48 to 0.12) In contrast, neither resistance nor multi component exercise interventions affected any of the included COP measurements.ConclusionsPostural control is improved by balance exercise interventions. In contrast, strength or multi component exercise interventions did not influence postural control measurements in older adults. In addition, a lack of standardisation in collection protocol and COP variables calculated across trials was identified.