nils-herrmann/clean_scirepeval huggingface dataset:
A multi stage intelligent approach based on an ensemble of two way interaction model for forecasting the global horizontal radiation of India
Year: 2017

Forecasting of effective solar irradiation has developed a huge interest in recent decades, mainly due to its various applications in grid connect photovoltaic installations. This paper develops and investigates an ensemble learning based multistage intelligent approach to forecast 5 days global horizontal radiation at four given locations of India. The two way interaction model is considered with purpose of detecting the associated correlation between the features. The main structure of the novel method is the ensemble learning, which is based on Divide and Conquer principle, is applied to enhance the forecasting accuracy and model stability. An efficient feature selection method LASSO is performed in the input space with the regularization parameter selected by Cross Validation. A weight vector which best represents the importance of each individual model in ensemble system is provided by glowworm swarm optimization. The combination of feature selection and parameter selection are helpful in creating the diversity of the ensemble learning. In order to illustrate the validity of the proposed method, the datasets at four different locations of the India are split into training and test datasets. The results of the real data experiments demonstrate the efficiency and efficacy of the proposed method comparing with other competitors.
A Critical Study On The Current Status Of Affordable Housing in India
Year: 2018

Owning a house is a dream that every person. The government doing efforts to ensure Indians have access to affordable houses. Affordable housing for all people is one of the important challenges faced by the developing countries. India is currently facing a big shortage houses. The dream of ownership of a house particularly for low income group and middle income group has became a difficult reality.so,there is a necessary to initiate cost effective, innovative and environment friendly housing technologies for the construction of houses to enable the common people to own houses at affordable cost. This paper shows the scenario of affordable housing; Identify key issues, loopholes of the housing ecosystem and policies, gaps to achieve housing for all; Case studies of Current state level incentives; comparison between conventional and technology driven techniques.
Poverty Alleviation Model of "Three Stresses and Three Commentaries" to Stimulate Endogenous Motivation in Xundian County
Year: 2019

Poverty alleviation has entered a decisive period. If we want to maintain poverty alleviation results, it is unsustainable to rely on solely on external forces and must rely on its endogenous motivation. Xundian County is located in the Wumeng Mountain area in the upper reaches of the Yangtze River which is a concentrated contiguous extreme poverty stricken area. Although the natural conditions are poor and the foundation is weak, it took the lead in poverty alleviation throughout the province at the end of 2017 with a poverty rate of 0.35% Moreover, the poverty alleviation achievements have been stabilized, and the incidence of poverty declined to 0.25% in 2018. These are inseparable from the unique "three stresses and three commentaries" to stimulate endogenous motivation. This article systematically studies the poverty alleviation model of "three stresses and three commentaries" to stimulate endogenous motivation in the county. Through in depth analysis of the specific content, operation process, work achievements and typical cases of the model, the internal mechanism of action is obtained, and its experience worthy of reference are summarized. It is believed that stimulating endogenous motivation will make poverty alleviation more targeted and poverty alleviation achievements more stable, and it is a mature practice worth promoting to the whole country.
A Multi Task Learning Approach to Hate Speech Detection Leveraging Sentiment Analysis
Venue: IEEE Access
Year: 2021

The rise of social media platforms has significantly changed the way our world communicates, and part of those changes includes a rise in inappropriate behaviors, such as the use of aggressive and hateful language online. Detecting such content is crucial to filtering or blocking inappropriate content on the Web. However, due to the huge amount of data posted every day, automatic methods are essential for identifying this type of content. Seeking to address this issue, the Natural Language Processing community is increasingly involved in testing a wide range of techniques for hate speech detection. While achieving promising results, these techniques consider hate speech detection as the sole optimization objective, without involving other related tasks such as polarity and emotion classification that are strongly linked to offensive behavior. In this paper, we propose the first Multi task approach that leverages the shared affective knowledge to detect hate speech in Spanish tweets, using a well known Transformer based model. Our results show that the combination of both polarity and emotional knowledge helps to detect hate speech more accurately across datasets.
Property Taxes for Agriculture: Use Value Assessment and Urbanization Across the United States
Year: 2015

We analyze the spread of use value assessment (UVA) programs applied to agricultural and rural land for property tax purposes across the 50 states. Taxing such land on the basis of its current use in agriculture rather than its full market value can confer significant property tax reductions on owners of the land. Effects are often substantial for land near large urban areas. Using a time to event model, we find, as others have posited, that a driving force behind the spread of UVA has been the secular trend toward urbanization across all 50 states. We also find that models of collective action do a good job of explaining the spread of UVA. Urbanization and divergence of the values of agricultural and nonagricultural land are critical to the spread of UVA. However, other important factors include changes in average farm size and changes in agriculture's share of state income. We find that in states where average farm sizes increased more rapidly, legislatures were quicker to adopt UVA. That finding is consistent with an increased concentration of agricultural interests. We also find that states where agriculture's share of state income declined more rapidly also were quicker to adopt UVA. That finding, too, is consistent with models of collective action. As groups become smaller, the burden of subsidizing them also falls. Note that although the findings are consistent with models of interest group behavior, they are at odds with traditional voting models.
The Situation of Technology Companies in Industry 4.0 and the Open Innovation
Year: 2021

Digitalization has increased the adoption pace of Industry 4.0 technologies, particularly in connection with Open Innovation. However, companies are still finding it challenging to know the variety of Industry 4.0 technologies available, and their fit with the scope of the organization. To address this issue, a cross sectional research design under quantitative approach was adopted. The data were collected first hand through a survey questionnaire from a total of 238 technology companies in Malaysia. Technology companies were selected as they have higher agility in terms of technology which suits the digital revolution nature of Industry 4.0. The findings of this descriptive study revealed a range of insights in terms of Industry 4.0 technologies and open innovation. First, this study presents the standing of technology companies in terms of 12 Industry 4.0 technologies. Second, a comparison of these technologies is analyzed in terms of company size (small, medium, and large) Third, a contrast of these technologies is ascertained based on the type of company (manufacturing and services) In brief, this research contributes in providing valuable insights that can help companies in the awareness of open innovation and adoption of Industry 4.0 technologies.
Proficiency test for tropane alkaloids in food en feed
Year: 2014

Proficiency testing is conducted to provide laboratories with a powerful tool to evaluate and demonstrate the reliability of the data that are produced. Next to validation and accreditation, proficiency testing is an important requirement of the EU Additional Measures Directive 93/99/EEC  and is required by ISO 17025:200. The proficiency test for tropane alkaloids was organized by RIKILT, Wageningen UR in accordance with ISO 17043. The primary goal of this study was to provide laboratories with the opportunity to implement a method in their laboratory and to evaluate or demonstrate their performance regarding quantitative analysis of tropane alkaloids in cereals intended for human consumption and in animal feed.
Trading Regime Analysis: The Probability of Volatility
Year: 2009

Foreword Acknowledgements PART I: SUPPLY AND DEMAND 1 There is NO Holy Grail 2 The " Previous Highs and Lows 8 Elliott Wave Principle 9 Moving Average Envelopes 10 Bollinger Band Width 11 The ADX 12 Point and Figure Charts 13 Rate of Change and Divergence 14 Williams #R 15 Donchian Channels 16 A Nod to the Quants PART III: FURTHER IDEAS FOR TRADING REGIME ANALYSIS 17 Implied Volatility Curves 18 The Volatility Smile 19 My MATE 20 Trend Following Performance Indicator 21 Trading Regime Indicator PART IV: COMBINING AND USING TRADING REGIME ANALYSIS 22  Applications for Traders and Investors 24 Trading Regime Analysis for Economists and Fundamentalists 25 Case Studies 26 There is Still No Holy Grail  Time Fractals and the Supply/Demand Index  Why Do Trend Lines Work?  Examples of Trend Lines References Index
Gelecek Nesil Gomulu Sistem Uygulamalari icin Kullanici Etkilesimi Yaklasimi Onerisi
Venue: UYMS
Year: 2016

Ozet. Gomulu sistem uygulamalari genel amacli bilgisayarlarda gelistirilen uygulamalarin aksine kisitli bellek, kisitli islemci gucu ve kisitli depolama alani problemlerine sahip ortamlar icin gelistirilmektedir. Ancak gelistirilen uygulamalardan beklenen performans hem islevsel anlamda hem de kullanici etkilesimi acisindan genel amacli bilgisayarlardan farksiz olarak dusunulmelidir. Son yillarda gelisen internet kullanimi gomulu sistemlerin de internet ortamina dahil edilme ihtiyacini dogurmaktadir. Internet artik yeni bir urun olmasa da tasinabilir urunlerde uzaktan kontrol yetenekleri gun gectikce artmaktadir. Ayrica internet uzerinden cihazlar arasi etkilesimin yapilabildigi gelecek nesil akilli urunler gelistirilmektedir. Calisma icerisinde bu urunler icin yazilim gelistiricilerin faydalanabilecegi kullanici etkilesimine duyarli tasarim modeli olusturulmasi hedeflenmistir. Gelecek nesil gomulu sistemleri kullanici etkilesimi fonksiyonlarina gore hem cihaz tarafinda hem de sunucu tarafinda seviyelendirecek ortak bir siniflandirma onerisi yapilacaktir.
Benefits of Dramatherapy for Autism Spectrum Disorder: A Qualitative Analysis of Feedback from Parents and Teachers of Clients Attending Roundabout Dramatherapy Sessions in Schools
Year: 2013

To investigate parent/carer and teacher feedback on dramatherapy provided by Roundabout dramatherapists for children and young people with Autism Spectrum Disorder (ASD) in schools.  A qualitative study of written feedback from parents/carers collected after treatment had finished.  Forty two comments on dramatherapy were analysed using Interpretative Phenomenological Analysis (IPA) Results. Five themes emerged from the data and were reported using verbatim quotes under the following headings: Feelings: a safe place to explore; Peers: being included and making friends; Social skills: role play provides a short cut to learning about and practising social skills; Structure: predictability lessens anxiety; and Families: supporting the whole system. There were no negative comments about the dramatherapy treatment recorded on the feedback forms.  The findings revealed overwhelming support from parents/carers and teachers for the use of dramatherapy for children and young people with ASD. These results are encouraging and indicate that further study of dramatherapy treatment is warranted in order to build the evidence base for such interventions in this client group.
Dynamic analysis with optimum trajectory planning of multiple degree of freedom surgical micro robot
Year: 2018

The present work aims to analyze kinematics and dynamics accompanied with an optimum trajectory planning, of a multiple degree of freedom positioning surgical micro robot. The kinematic model was developed using Denavit Hartenberg algorithm, while dynamic model was developed using Lagrange technique. The trajectory optimization was implemented using different local, global and hybrid optimization techniques. For local optimization, "Fmincon" was employed. Genetic Algorithm (GA) Pattern Search (PS) and Particle Swarm (PSO) were utilized as global optimization techniques. In hybrid optimization approach, GA was used for global optimization while PS was utilized as a local optimization technique for further results refinement. Polynomials of sixth order and fourth order were assumed during all trajectory optimization approaches. The objective function was assumed to minimize the total consumed energy by the positioning manipulator. Non optimized analysis was investigated as well, using several conventional trajectory planning techniques including fifth order polynomial, third order polynomial, cycloidal formula and elliptical formula. The angle of rotation for all joints ranged from zero to one and half radian, and the motion duration was five seconds for all the presented results. MATLAB codes were created for simulation and optimization processes.
Trolls just want to have fun
Year: 2014

In two online studies (total N 1215) respondents completed personality inventories and a survey of their Internet commenting styles. Overall, strong positive associations emerged among online commenting frequency, trolling enjoyment, and troll identity, pointing to a common construct underlying the measures. Both studies revealed similar patterns of relations between trolling and the Dark Tetrad of personality: trolling correlated positively with sadism, psychopathy, and Machiavellianism, using both enjoyment ratings and identity scores. Of all personality measures, sadism showed the most robust associations with trolling and, importantly, the relationship was specific to trolling behavior. Enjoyment of other online activities, such as chatting and debating, was unrelated to sadism. Thus cyber trolling appears to be an Internet manifestation of everyday sadism.
Foundations in China: From Statist to Corporatist
Year: 2018

This article discusses the development of philanthropic foundations in China. In the early stage of development from 1980s to 2003, most Chinese foundations were established by the government. They were given a special privilege to raise funds from the public but their projects were usually carried out through an "encapsulated system," that is, within the administrative networks of the government agencies. The 2004 reform in the regulation of foundations allowed space for nongovernmental foundations to emerge, particularly those founded by corporations or individual elites. The Chinese government expected most of them to rely on their own funds and did not grant them right to conduct public fundraising. Some of these foundations later became "policy entrepreneurs" striving for equal right in fundraising and making grants to nongovernmental organizations. Regardless of these changes, the Chinese state still possesses eminent regulatory power and informal political influences in the sector. The foundation regime has changed from a statist to a corporatist model but is unlikely to move further to a liberal one.
Examining information and communication technology (ICT) adoption in SMEs: A dynamic capabilities approach
Venue: J. Enterp. Inf. Manag.
Year: 2018

Since the 1980s, a substantial number of theories have contributed extensively to information and communication technology (ICT) adoption. Much of such theories regarded ICT adoption as a one off action as they specifically focus on factors affecting decision making at one decision point. They tend to play down on the fact that as adoption decision progresses through stages, they are supposedly influenced by the same or different factors. Therefore, the purpose of this paper is to examine the dynamic process of ICT adoption using the concepts of dynamic capabilities.,This study used qualitative approach to gain in depth insight into the dynamic and evolutionary process of emerging information and communication technology (EICT) adoption in UK small service SMEs. Unstructured and semi structured interviews were conducted in two separate rounds with 26 participants drawn from Crunch Online Data Base and Luton Business Directory. The participants were selected from a sample of 65 drawn from extended classification of professional service businesses proposed by Ramsey et al. (2008) They include managers, government agencies, SMEs consultants and IT vendors; and then purposeful random sampling and snowball sampling were used.,The study developed a framework from the concept of dynamic capabilities and found that using the concept of dynamic capabilities to examine the process of EICT adoption helps to unveil the recursive nature of the process and how the factors vary at both single and multiple stages of adoption.,This study is limited by its focus and other factors. Studying the opinions of small service UK SMEs limits the power of generalizing the identified causal relationships; therefore, extended measures are required on accounts of environmental, cultural, geographical and sectoral differences. While some errors seemed unavoidable when measures appear subjective and prone to common error biases, the study advised on recognizing the over riding influence of the factor(s) at each stage of the adoption process in order to be proactive in committing resources.,This work focuses on emerging ICT adoption in SMEs from the dynamic and evolutionary process perspective using the concept of dynamic capability. It advances ICT adoption research by developing a framework to depict that ICT is not a one off event, rather it is dynamic and interactive in nature and factors influencing adoption vary from one stage or the other.
Sliding window correlation analysis: Modulating window shape for dynamic brain connectivity in resting state
Venue: NeuroImage
Year: 2019

The sliding window correlation (SWC) analysis is a straightforward and common approach for evaluating dynamic functional connectivity. Despite the fact that sliding window analyses have been long used, there are still considerable technical issues associated with the approach. A great effort has recently been dedicated to investigate the window setting effects on dynamic connectivity estimation. In this direction, tapered windows have been proposed to alleviate the effect of sudden changes associated with the edges of rectangular windows. Nevertheless, the majority of the windows exploited to estimate brain connectivity tend to suppress dynamic correlations, especially those with faster variations over time. Here, we introduced a window named modulated rectangular (mRect) to address the suppressing effect associated with the conventional windows. We provided a frequency domain analysis using simulated time series to investigate how sliding window analysis (using the regular window functions, e.g. rectangular and tapered windows) may lead to unwanted spectral modulations, and then we showed how this issue can be alleviated through the mRect window. Moreover, we created simulated dynamic network data with altering states over time using simulated fMRI time series, to examine the performance of different windows in tracking network states. We quantified the state identification rate of different window functions through the Jaccard index, and observed superior performance of the mRect window compared to the conventional window functions. Overall, the proposed window function provides an approach that improves SWC estimations, and thus the subsequent inferences and interpretations based on the connectivity network analyses. HIGHLIGHTSSliding window analysis has been widely used for quantifying dynamic connectivity.Sliding window operation is characterized by a non uniform frequency spectrum.Sliding window operation thus suppresses fast dynamic correlations.We modulated rectangular window to make a new window with uniform spectrum.The proposed window outperformed regular windows in network connectivity analysis.
Object Detection in Optical Remote Sensing Images: A Survey and A New Benchmark
Venue: ISPRS Journal of Photogrammetry and Remote Sensing
Year: 2020

Substantial efforts have been devoted more recently to presenting various methods for object detection in optical remote sensing images. However, the current survey of datasets and deep learning based methods for object detection in optical remote sensing images is not adequate. Moreover, most of the existing datasets have some shortcomings, for example, the numbers of images and object categories are small scale, and the image diversity and variations are insufficient. These limitations greatly affect the development of deep learning based object detection methods. In the paper, we provide a comprehensive review of the recent deep learning based object detection progress in both the computer vision and earth observation communities. Then, we propose a large scale, publicly available benchmark for object DetectIon in Optical Remote sensing images, which we name as DIOR. The dataset contains 23463 images and 190288 instances, covering 20 object classes. The proposed DIOR dataset 1) is large scale on the object categories, on the object instance number, and on the total image number; 2) has a large range of object size variations, not only in terms of spatial resolutions, but also in the aspect of inter and intra class size variability across objects; 3) holds big variations as the images are obtained with different imaging conditions, weathers, seasons, and image quality; and 4) has high inter class similarity and intra class diversity. The proposed benchmark can help the researchers to develop and validate their data driven methods. Finally, we evaluate several state of the art approaches on our DIOR dataset to establish a baseline for future research.
Translation of scales in cross cultural research: issues and techniques.
Venue: Journal of advanced nursing
Year: 2007

This paper is a report of a study designed to: (i) describe issues and techniques of translation of standard measures for use in international research; (ii) identify a user friendly and valid translation method when researchers have limited resources during translation procedure; and (iii) discuss translation issues using data from a pilot study as an example.  The process of translation is an important part of cross cultural studies. Cross cultural researchers are often confronted by the need to translate scales from one language to another and to do this with limited resources.  The lessons learned from our experience in a pilot study are presented to underline the importance of using appropriate translation procedures. The issues of the back translation method are discussed to identify strategies to ensure success when translating measures.  A combined technique is an appropriate method to maintain the content equivalences between the original and translated instruments in international research. There are several possible combinations of translation techniques. However, there is no gold standard of translation techniques because the research environment (e.g. accessibility and availability of bilingual people) and the research questions are different.  It is important to use appropriate translation procedures and to employ a combined translation technique based on the research environment and questions.