nils-herrmann/clean_scirepeval huggingface dataset:
Fashion and its Refugees: production, consumption and subjectivity in the age of neoliberal authoritarianism
Year: 2017

This paper aims to explore the relationship between migration and refugee movements and the production and consumption of fashion, with the emphasis on the plight of Syrian refugee workers in Turkish garment factories. A recent report published by the Business Human Rights Resource Centre indicates that 'exploitation of refugees in the supply chains that produce clothes for Europe's high streets appears endemic' and 'the plight of Syrian refugees in Turkey has unfortunately exposed the most damaging market forces at work in the global garment industry: vulnerable refugees fall victim to the drive for lower prices and increased margins' A theoretical background to the fieldwork I will conduct in Istanbul, this paper will discuss a) how neo liberal discourses of charity, compassion and employability simultaneously obscure and reinforce the increasing degradation of work as well as the physical and discursive violence endured by refugee workers, and b) how the forced migration/displacement and the rapid and enforced acquisition of skills necessary to produce apparel transform the worker's personal experience, perception and memory of the fashion commodity as well as its production and consumption. Drawing on theories of work, poverty, leisure, memory and affect, I also aim to understand the survival and resistance strategies and tactics used by refugee workers inside and outside the work place. In this way, this paper is intended to contribute to a framework for addressing fashion production/consumption, migration/refugee movements and the subjectivity of the worker as interconnected phenomena. Delice contributed this invited paper to the "Fashion Politics: Historical Contemporary Perspectives" conference organised by the the LCF Transnational Fashion Research Hub on 7 July 2017.
State Owned Enterprise in China: Reform, Performance, and Prospects
Year: 2016

State owned enterprise reform in China has travelled a long and uneven road. Arguably, its key driver has been the introduction of competition across China's transforming economy, both the surge of new forms of domestic ownership and the ever expanding access to technology and business methods from abroad. By highlighting the public good character of China's SOEs, this paper underscores the importance of a clear Coasian assignment of property rights and reduced transaction costs. The paper then reviews the three stages of the reform of China's state sector over the past 30 years, drawing on the literature that describes the intentions, achievements, and shortcomings of China's reform program. Finally, the paper reviews the 2015 reform guidelines and the recent literature assessing these guidelines, including the intent of the guidelines to clearly distinguish between the public service and commercial mission of individual SOEs, so that the latter SOEs can be more rigorously accountable to corporate fiduciary responsibilities.
Encapsulation an essential technology for functional food applications
Year: 2011

Since the last world war, i.e. more than 60 years ago, we have witnessed a revolution of often underestimated importance. The improvements in agricultural production methods have led to an abundance of food in the Western World such as mankind has never experienced before. Despite the criticism towards the extensive use of agrochemicals, we can now live without wondering how to survive the next winter. Our fridge is full!
The biomechanical difference between running with traditional and 3D printed orthoses
Venue: Journal of sports sciences
Year: 2019

Running related injuries have been associated with excessive foot pronation and high vertical loading rates. Traditional plaster molded (TPM) foot orthoses are commonly prescribed to minimize these atypical biomechanical patterns. Recently, 3D printed (3DP) orthoses have become popular, yet the functional difference between these two types of orthoses remains unknown. Therefore, this study compared running biomechanics and perceived comfort during treadmill running in three orthotic conditions: 3DP orthoses, TPM orthoses, and a no orthoses control condition (CON) Thirteen female asymptomatic runners with excessive foot pronation were recruited. Rearfoot eversion angle and velocity (at initial contact and peak) during stance, vertical loading rates, and perceived comfort were compared. Results showed lower peak rearfoot eversion angles during running with TPM (p=0.001, d=0.38) or 3DP orthoses (p=0.002, d=0.24) than CON. No differences were observed in other biomechanical parameters among the three conditions (p>0.05) Running with TPM (p<=0.001, d=1.74 1.82) and 3DP orthoses (p<0.003, d=1.06 1.34) resulted in better perceived comfort in "medial lateral control" and "heel cushioning" than CON. There were no statistical differences in all parameters between TPM and 3DP orthoses. The present findings indicate improved comfort during running with TPM or 3DP orthoses, which hinted 3DP orthoses could be a viable alternative to TPM orthoses for clinical practice.
Multi Modal fusion with multi level attention for Visual Dialog
Venue: Inf. Process. Manag.
Year: 2020

Given an input image, Visual Dialog is introduced to answer a sequence of questions in the form of a dialog. To generate accurate answers for questions in the dialog, we need to consider all information of the dialog history, the question, and the image. However, existing methods usually directly utilized the high level semantic information of the whole sentence for the dialog history and the question, while ignoring the low level detailed information of words in the sentence. Similarly, the detailed region information of the image in low level is also required to be considered for question answering. Therefore, we propose a novel visual dialog method, which focuses on both high level and low level information of the dialog history, the question, and the image. In our approach, we introduce three low level attention modules, the goal of which is to enhance the representation of words in the sentence of the dialog history and the question based on the word to word connection and enrich the region information of the image based on the region to region relation. Besides, we design three high level attention modules to select important words in the sentence of the dialog history and the question as the supplement of the detailed information for semantic understanding, as well as to select relevant regions in the image to provide the targeted visual information for question answering. We evaluate the proposed approach on two datasets: VisDial v0.9 and VisDial v1.0. The experimental results demonstrate that utilizing both low level and high level information really enhances the representation of inputs.
A Constructivist Exploration of the Teacher's Role: understanding the policy practice navigation between: Pedagogy, Professionalism Vocationalism
Year: 2010

This constructivist grounded theory study, explores the role of the second level teacher in contemporary Ireland. It investigates how the officially espoused role of the teacher translates into action in the negotiated environments of practice. The study yielded three significant constructs that penetrate the reality of a teaching life. The three constructs emerged organically from an analysis of research participant reflections regarding their practice as teachers. These three interwoven constructs provide the scaffolding for the grounded theory findings: i. pedagogy under pressure, ii. teachers navigating a pathway between old and new professionalism iii. vocationalism and pockets of wonderful things While each of the three constructs has its own discourse and associated web of meaning, there is also evidence of an over arching climate that weaves its influence across the playing out of each. This climate is identified as one of intensification. The intensification of teaching and learning significantly impacts on the teacher's role. The first of the three constructs; pedagogy under pressure emerges as a particularly problematic one. The implicitly instrumentalist vision driving the practice of education (emergent in the first construct) compromises not only progressive pedagogy, but also compromises the enactment of new professionalism as illuminated in the second construct. The intensification of education can also endanger the vocational impetus for teachers and render into 'pockets' the 'wonderful things' that sustain and nurture the teacher's ontological identity as profiled in the final construct. The qualitative findings suggest that the teacher's role is therefore an increasingly complex one that navigates within and across three interwoven domains of what it means to be a teacher. Within this navigation, there is significant evidence of policy practice dissonance, and localised negotiations of policy rhetoric, driven by the imperative of terminal assessment. The study concludes that this climate of intensification militates against the realization of the more nurturing aims of education espoused in the Government White Paper Charting Our Education Future (1995) The study provides educational policy makers, teacher educators and teachers with an insightful road map with which to interrogate many assumptions regarding second level teaching. The study interrogates policy, practice and theoretical perspectives. It raises many challenging questions regarding the teacher's role and the current instrumentalist vision driving the practice of second level education in Ireland. These questions, findings and associated recommendations now deserve prompt study from teachers, teacher educators, policy makers and other educational stakeholers.
Supplementary File Second order Attention Network for Single Image Super resolution
Year: 2019

In this supplementary file, we first give more details about the forward propagation (FP) and backward propagatio (BP) of covariance normalization. Then we provide the convergence analysis of some very deep networks to verify the effectiveness of the proposed non locally enhanced residual group (NLRG) structure. Meanwhile, we provide more comparison results with the state of the art CNN based SR methods under the Bicubic (BI) degradation model. All quantitative results are evaluated in terms of PSNR and SSIM metrics. 1. FP and BP of Covariance Normalization FP of Newton Schulz Iteration. Traditional convariance normalization relies heavily on EIG, which is however not well supported on GPU platform, thus leading to inefficient training. As explored in  we also relied on NewtonSchulz iteration to speed up the computation of covariance normalization. Given Y0 S,Z0 I, for n 1, N the Newton Schulz iteration is then updated alternately as follows: Yn 1 2Yn 1(3I Zn 1Yn 1) Zn 1 2 (3I Zn 1Yn 1)Zn 1. (1) After enough iterations, Yn and Zn quadratically converges to Y and Y 1. Such iterative operation is suitable for parallel implementation on GPU. In practice, one can achieve *The first two authors contribute equally to this work.  Lei Zhang +This work is supported in part by the National Natural Science Foundation of China under Grant 61771273, the R &D Program of Shenzhen under Grant JCYJ20180508152204044, and the research fund of PCL Future Regional Network Facilities for Large scale Experiments and Applications (PCL2018KP001) approximate solution with few iterations, e.g. no more than 5 iterations in our method. FP of Pre normalization. Since Newton Schulz iteration only converge locally, to guarantee the convergence, we pre normalize S first via
Smart Development of Ahmedabad Gandhinagar Twin City Metropolitan Region, Gujarat, India
Year: 2019

With India transforming as matured democracy, the government is focusing upon improving quality of life of citizens by urban renewal and infrastructure development vide ambitious smart cities project. Energy, the electrical power in particular, has been the most crucial and the resource always in scarcity in India and proving itself as a major bottleneck. Therefore, India has been transforming legacy conventional non smart non intelligent unidirectional electrical power grids into modern smart grids which are bidirectional and intelligent in nature by leveraging ICT, IoTs,  Smart grids are likely to serve as energy backbones of smart cities and involve high interactive participation of citizens in energy management, based on humanitarian and customer centric approach. Different types of Prosumers (Producers consumers) their different energy requirements at different timings, different types of energy resources and their switching feasibilities considering different aspects have been integrated. The Ahmedabad Gandhinagar twin city metropolitan region (Naroda area) has been considered as region of interest and study. The region is surrounded by reputed industrial, commercial, educational research organizations, heritage monuments and demonstrates extremely encouraging potential for creative research and technological developments with variety of Prosumers in particular. To study existing economic and spatial strategies and recommend suggestions for smart metropolitan region development have been main objectives of the work presented. Useful approach for smart metropolitan region development has been presented by effective energy management, active citizen participation and e governance by proposing deployments of smart grid and smart buildings with integration of renewables, ICT and IoTs. Ensuring 24 x 7 electricity with limiting carbon footprint has been the major challenge.
iDEP: an integrated web application for differential expression and pathway analysis of RNA Seq data
Venue: BMC Bioinformatics
Year: 2018

BackgroundRNA seq is widely used for transcriptomic profiling, but the bioinformatics analysis of resultant data can be time consuming and challenging, especially for biologists. We aim to streamline the bioinformatic analyses of gene level data by developing a user friendly, interactive web application for exploratory data analysis, differential expression, and pathway analysis. (integrated Differential Expression and Pathway analysis) seamlessly connects 63 R/Bioconductor packages, 2 web services, and comprehensive annotation and pathway databases for 220 plant and animal species. The workflow can be reproduced by downloading customized R code and related pathway files. As an example, we analyzed an RNA Seq dataset of lung fibroblasts with Hoxa1 knockdown and revealed the possible roles of SP1 and E2F1 and their target genes, including microRNAs, in blocking G1/S transition. In another example, our analysis shows that in mouse B cells without functional p53, ionizing radiation activates the MYC pathway and its downstream genes involved in cell proliferation, ribosome biogenesis, and non coding RNA metabolism. In wildtype B cells, radiation induces p53 mediated apoptosis and DNA repair while suppressing the target genes of MYC and E2F1, and leads to growth and cell cycle arrest. iDEP helps unveil the multifaceted functions of p53 and the possible involvement of several microRNAs such as miR 92a, miR 504, and miR 30a. In both examples, we validated known molecular pathways and generated novel, testable hypotheses.ConclusionsCombining comprehensive analytic functionalities with massive annotation databases, iDEP (http:/ge lab.org/idep/ enables biologists to easily translate transcriptomic and proteomic data into actionable insights.
Opinion Extraction and Classification of Real Time YouTube Cooking Recipes Comments
Venue: AMLTA
Year: 2018

Applications based on Opinion Mining and Sentiment Analysis are critical tools for information gathering to find out what people are thinking. It is one of the most active research areas in Natural Language Processing. In this paper, we develop a real time system to extract and classify the YouTube cooking recipes reviews automatically. This system is based on Support vector machine approach and deals with the social media text characteristics. The proposed system collects data in real time from YouTube according to a user request. After it filters opinion texts from the other content, then it classifies it in (positive/negative) opinion. To improve the performance of our system we proposed some algorithms that constructed on sentiment bags, based on emoticons and injections.
Distraction, Domination, and Disconnection in Whole Class Online Discussions.
Year: 2007

Online courses continue to gain popularity at colleges and universities, with a primary tool for demonstrating critical thinking and interaction being the discussion forum. Instructors and students of online courses are faced with the dilemma of sifting through potentially hundreds of postings when all students are placed within a forum. The purpose of this study was to determine the level of critical thinking and interaction present during whole class discussion compared with smaller virtual learning communities based on the Newman, Webb, and Cochrane (1996) indicators. A content analysis of discussion threads revealed that critical thinking was present, although unique communication patterns did emerge.
Significance of Emotional Intelligence in the Era of Artificial Intelligence: A Study on the Application of Artificial Intelligence in Financial and Educational Services Sector
Year: 2019

Artificial Intelligence (AI) is the cognitive ability of a computer or machine to think and learn. It is imperative to evaluate the extent to which the Artificial Intelligence (AI) can integrate Emotional Intelligence (EI) which is being posited as a facilitator of enhancing millennial engagement. This study is undertaken with two objectives: 1) exploring the extent of use of Artificial Intelligence (AI) in financial services and 2) examining AI"s role in enhancing a student"s experience in learning activities. The methodology of the study is mainly exploratory. The study brings forth certain significant implications of the future of skill development and the ethical issues that require deliberation for purposes of legislation and drafting of public protection policies.
The SFU Opinion and Comments Corpus: A Corpus for the Analysis of Online News Comments
Venue: Corpus pragmatics international journal of corpus linguistics and pragmatics
Year: 2020

We present the SFU Opinion and Comments Corpus (SOCC a collection of opinion articles and the comments posted in response to the articles. The articles include all the opinion pieces published in the Canadian newspaper The Globe and Mail in the 5 year period between 2012 and 2016, a total of 10,339 articles and 663,173 comments. SOCC is part of a project that investigates the linguistic characteristics of online comments. The corpus can be used to study a host of pragmatic phenomena. Among other aspects, researchers can explore: the connections between articles and comments; the connections of comments to each other; the types of topics discussed in comments; the nice (constructive) or mean (toxic) ways in which commenters respond to each other; how language is used to convey very specific types of evaluation; and how negation affects the interpretation of evaluative meaning in discourse. Our current focus is the study of constructiveness and evaluation in the comments. To that end, we have annotated a subset of the large corpus (1043 comments) with four layers of annotations: constructiveness, toxicity, negation and Appraisal (Martin and White, The language of evaluation, Palgrave, New York, 2005 This paper details our corpus, the data collection process, the characteristics of the corpus and describes the annotations. While our focus is comments posted in response to opinion news articles, the phenomena in this corpus are likely to be present in many commenting platforms: other news comments, comments and replies in fora such as Reddit, feedback on blogs, or YouTube comments.
Mass segregation in star clusters is not energy equipartition
Year: 2016

Mass segregation in star clusters is often thought to indicate the onset of energy equipartition, where the most massive stars impart kinetic energy to the lower mass stars and brown dwarfs/free floating planets. The predicted net result of this is that the centrally concentrated massive stars should have significantly lower velocities than fast moving low mass objects on the periphery of the cluster. We search for energy equipartition in initially spatially and kinematically substructured N body simulations of star clusters with N 1500 stars, evolved for 100 Myr. In clusters that show significant mass segregation we find no differences in the proper motions or radial velocities as a function of mass. The kinetic energies of all stars decrease as the clusters relax, but the kinetic energies of the most massive stars do not decrease faster than those of lower mass stars. These results suggest that dynamical mass segregation which is observed in many star clusters is not a signature of energy equipartition from two body relaxation.
Robust direction of arrival estimation by understanding global acoustic scene.
Year: 2008

Direction of arrival (DOA) is an important clue in acoustic signal processing. It is, however, difficult to accurately estimate DOAs in the presence of acoustic interference such as background noises and reverberation. The author has proposed a robust DOA finder with an environmental noise model, which describes spectral characteristics of background noises. Knowledge on acoustic interferences helps to make DOA estimation robust, but is difficult to be estimated exactly. The method works well only using the dominant subband components, in which the target signal is distinguished compared with interferences, in some noisy conditions. The noise model is updated time by time based on the DOA estimates to cope with nonstationary noises. Better DOA estimation gives a more accurate noise model and vice versa. In contrast, even a little error starts to cause negative feedback in DOA estimation and finally it goes to the fatal error. This paper proposes to introduce a switching scheme, which evaluates the reliabi.
Comparative analysis of the driving forces and spatiotemporal patterns of urbanisation in Muscat, Doha, and Dubai
Venue: Development in Practice
Year: 2019

This article analyses contemporary urbanisation patterns in Muscat, Dubai, and Doha cities, focusing on urban land cover change and the roles of governance, globalisation, oil revenues, internal migration, social factors, and urban planning forces in developing these cities. Remotely sensed and demographic data for the past 30 years were used to identify concurrent changes in urbanisation patterns, in order to gain a comprehensive understanding of the dynamics of urbanisation. The results show that the three cities have all experienced unprecedented urban transformation, with high urbanisation and population growth, but with differences in the patterns of development.