nils-herrmann/clean_scirepeval huggingface dataset:
Collaborative learning in online business education: Evidence from a field experiment
Year: 2020

Although online business degrees and student enrollments have increased, course quality and outcomes remain a challenge. We designed a collaborative learning activity at a large public university involving student produced materials in an online managerial economics class. The activity included two parts: student production of a problem solving video and rating of peer work. Students were randomly sorted across identical class sections with and without the new activity. The findings based on final exam scores show that peer learning provides a positive impact on overall learning, and the activity also improves knowledge with respect to the topic of the video made.
Os impactos multifatoriais do distanciamento social para a terceira idade em razao do COVID 19: um relato de experiencia diante do convivio familiar
Year: 2020

Retratar os possiveis impactos multifatoriais em funcao do distanciamento social na vida cotidiana das pessoas da terceira idade.  Refere se a um relato de experiencia de abordagem qualitativa e carater descritivo sobre a observacao participante quanto a percepcao de um dos pesquisadores frente aos avos maternos domiciliados durante a quarentena em funcao da COVID 19.  Notou se que os idosos tendem a sofrer impactos biopsicossociais, espirituais e ambientais pelo distanciamento social, caso nao tenha adotado medidas de promocao a saude integral, com a prevencao do sedentarismo a partir do cultivo de hortalicas e realizacao de atividades fisicas, seja em casa e/ou ambientes sem aglomeracoes.  Constatou se que o enfrentamento e a resiliencia sao aspectos psicologicos com probabilidade de desenvolvimento, mesmo num contexto de crise. Consideracoes finais: O olhar sensivel ao publico senescente se faz importante, uma vez que os impactos da pandemia podem perpassar todo o sujeito, movido pelo potencial de enfretamento das situacoes vivenciadas nesse processo, evidenciando a resiliencia.
Logic IP for Low Cost IC Design in Advanced CMOS Nodes
Venue: IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Year: 2020

Routing closure and design for manufacturability (DFM) challenges exacerbate nonrecurring engineering (NRE) costs, a steep barrier to entry for advanced sub 20 nm CMOS nodes, making low volume fabrication of integrated circuits (ICs) almost intangible. For ICs in which the cost of design dominates the fabrication, we seek to trade some amount of chip area to lower NRE costs. To this end, we consider designing logic cell layouts for easier routing and DFM closure. We accustom a layout simplification and reuse approach to build standard cell libraries such that good pin access and layout regularity are ensured for all cells. Using a commercial 14 /16 nm technology, we developed two 100 cell logic cell libraries that are, respectively, 9 and 10.5 metal tracks tall. Our routing experiments on multiple designs show that taller cells can endure 20% higher placement density while reducing the number of design rule check (DRC) violations by four orders of magnitude compared with a commercial 7.5 track library. Silicon measurements show that taller cells can enable faster design closure in ICs with stringent performance requirements at the cost of a marginal power overhead. Finally, our logic cell design approach can make advanced CMOS nodes more affordable for low volume design.
Facial Expression Recognition Using Facial Movement Features
Year: 2015

Facial expressions give important information about emotions of a person. Understanding facial expressions accurately is one of the challenging tasks for interpersonal relationships. Automatic emotion detection using facial expressions recognition is now a main area of interest within various fields such as computer science, medicine, and psychology and To improve the human computer interaction (HCI) to be as good as human human interaction, building an efficient approach for human emotion recognition is required. These emotions could be fused from several modalities such as facial expression, hand gesture, acoustic data, and biophysiological data.This paper proposes an approach to solve this limitation using 'salient' distance features, which are obtained by extracting patch based 3D Gabor features, selecting the 'salient' patches, and performing patch matching operations. The experimental results demonstrate high correct recognition rate (CRR) significant performance improvements due to the consideration of facial element and muscle movements, promising results under face registration errors, and fast processing time. The comparison with the state of the art performance confirms that the proposed approach achieves the highest CRR on the JAFFE database and is among the top performers on the Cohn Kanade (CK) database.
Using the Technology Acceptance Model to Explore Adolescents' Perspectives on Combining Technologies for Physical Activity Promotion Within an Intervention: Usability Study
Venue: Journal of medical Internet research
Year: 2020

Wearable activity trackers and social media have been identified as having the potential to increase physical activity among adolescents, yet little is known about the perceived ease of use and perceived usefulness of the technology by adolescents.  The aim of this study was to use the technology acceptance model to explore adolescents' acceptance of wearable activity trackers used in combination with social media within a physical activity intervention.  The Raising Awareness of Physical Activity study was a 12 week physical activity intervention that combined a wearable activity tracker (Fitbit Flex) with supporting digital materials that were delivered using social media (Facebook) A total of 124 adolescents aged 13 to 14 years randomized to the intervention group (9 schools) participated in focus groups immediately post intervention. Focus groups explored adolescents' perspectives of the intervention and were analyzed using pen profiles using a coding framework based on the technology acceptance model.  Adolescents reported that Fitbit Flex was useful as it motivated them to be active and provided feedback about their physical activity levels. However, adolescents typically reported that Fitbit Flex required effort to use, which negatively impacted on their perceived ease of use. Similarly, Facebook was considered to be a useful platform for delivering intervention content. However, adolescents generally noted preferences for using alternative social media websites, which may have impacted on negative perceptions concerning Facebook's ease of use. Perceptions of technological risks included damage to or loss of the device, integrity of data, and challenges with both Fitbit and Facebook being compatible with daily life.  Wearable activity trackers and social media have the potential to impact adolescents' physical activity levels. The findings from this study suggest that although the adolescents recognized the potential usefulness of the wearable activity trackers and the social media platform, the effort required to use these technologies, as well as the issues concerning risks and compatibility, may have influenced overall engagement and technology acceptance. As wearable activity trackers and social media platforms can change rapidly, future research is needed to examine the factors that may influence the acceptance of specific forms of technology by using the technology acceptance model.
Artificial Neural Networks and Machine Learning ICANN 2018
Venue: Lecture Notes in Computer Science
Year: 2018

Everyday subjective experience of the stream of consciousness suggests continuous cognitive processing in time and smooth underlying brain dynamics. Brain monitoring techniques with markedly improved spatiotemporal resolution, however, show that relatively smooth periods in brain dynamics are frequently interrupted by sudden changes and intermittent discontinuities, evidencing singularities. There are frequent transitions between periods of large scale synchronization and intermittent desynchronization at alpha theta rates. These observations support the hypothesis about the cinematic model of cognitive processing, according to which higher cognition can be viewed as multiple movies superimposed in time and space. The metastable spatial patterns of field potentials manifest the frames, and the rapid transitions provide the shutter from each pattern to the next. Recent experimental evidence indicates that the observed discontinuities are not merely important aspects of cognition; they are key attributes of intelligent behavior representing the cognitive "Aha" moment of sudden insight and deep understanding in humans and animals. The discontinuities can be characterized as phase transitions in graphs and networks. We introduce computational models to implement these insights in a new generation of devices with robust artificial intelligence, including oscillatory neuromorphic memories, and self developing autonomous robots. On the Deep Learning Revolution in Computer Vision
Analisis Perencanaan Tebal Perkerasan Lentur Dengan Metode Bina Marga (Studi Kasus: Jalan Luar Lingkar Timur Surabaya)
Year: 2020

Indonesia mempunyai peraturan dan pedoman dalam perencanaan struktur perkerasan jalan yang merupakan hasil modifikasi dan penyesuaian dari negara maju seperti Inggris, Amerika Serikat dan Australia yang dikeluarkan oleh Direktorat Jenderal Bina Marga. Dirjen Bina Marga secara bertahap melakukan pembaruan standar pada peraturan tentang desain manual perkerasan jalan yang terus dikembangkan dan disempurnakan, sehingga terdapat perbedaan perencanaan perhitungan pada setiap metodenya. Tujuan dari penelitian ini adalah untuk mengetahui dalam merencanakan tebal perkerasan lentur pada pada Metode Bina Marga 1987, Bina Marga 2002, Bina Marga 2011, Bina Marga 2013, dan Bina Marga 2017 dengan studi kasus Jalan Luar Lingkar Timur Surabaya dan membandingkan hasil Perencanaan pada kelima metode tersebut. Metode yang digunakan adalah metode observasi tidak terstruktur dan pengumpulan data berupa data primer tentang kondisi wilayah pada Jalan Luar Lingkar Timur Surabaya dan data sekunder berupa data LHR, data CBR, data geometrik jalan dan data curah hujan. Berdasarkan hasil perbandingan dari perencanaan tebal perkerasan jalan untuk Jalan Luar Lingkar Timur Surabaya adalah Apabila CTB sulit untuk diimplementasikan atau sumber daya tidak memadai untuk mengerjakannya, maka solusi menggunakan lapis pondasi Agregat Kelas A dan Kelas B dapat digunakan. Maka metode efektif yang dapat digunakan adalah Metode Bina Marga 2002, diperoleh hasil sebagai berikut: pada lapis permukaan menggunakan AC WC dengan tebal 5 cm dan AC BC dengan tebal 20 cm, Lapis pondasi atas menggunakan Agregat Kelas A (CBR 95% dengan tebal 15 cm, dan Lapis pondasi bawah menggunakan Agregat Kelas B (CBR 80% dengan tebal 20 cm.
Study on eco efficiency of industrial parks in China based on data envelopment analysis.
Venue: Journal of environmental management
Year: 2017

China's industrial parks have been playing a crucial role on driving regional economy development, but also been posing threats to local environment due to intensive resource consumption and waste emission. Chinese government facilitated eco industrial development of industrial park, aiming to output more with less environmental burden. In our study, the eco efficiency levels of 40 Chinese industrial parks in 2012 were assessed and ranked by Data Envelopment Analysis (DEA) This paper applied indicators relevant to resource, economy, and environment from industrial parks which can well reflect the characteristics of eco efficiency conforming to the concept of sustainability. This paper introduced how to adjust less sustainable parks to be more sustainable according to the DEA results. The roles of industrial added value per capita, industrial structure, environmental policy and development scale as influence factors of eco efficiency were discussed. The results show that large differences exist in the eco efficiency of different industrial parks. It is shown that 20% of the parks are relatively efficient. 47% of the study parks being inefficient in terms of scale efficiency show decreasing returns to scale. Policy implementations for the management of industrial parks were also discussed based on the results.
Related Party Transactions in Commonwealth Asia: Complicating the Comparative Paradigm
Year: 2019

The World Bank's influential Doing Business Report (DBR) has been a key platform for the American driven dissemination of global norms of good corporate governance. A prominent part of the DBR is the related party transactions (RPT) index, which ranks 190 jurisdictions from around the world on the quality of their laws regulating RPTs. According to the RPT Index, the regulation of RPTs in Commonwealth Asia's most important economies is stellar. In the 2018 RPT Index, Singapore ranked 1st, Hong Kong and Malaysia tied for 3rd, and India came in at 20th. However, despite the uniformly high RPT Index scores in all of Commonwealth Asia's most important economies, empirical, case study, and anecdotal evidence overwhelmingly suggests that there are in practice significant inter jurisdictional and intra jurisdictional differences in the actual function and regulation of RPTs in Commonwealth Asia. In this article, we assert that the conspicuous gap between what the RPT Index suggests should be occurring and what is actually occurring in Commonwealth Asia exists because it fails to capture the complexity of RPTs in three respects, which we term: (1) regulatory complexity; (2) shareholder complexity; and, (3) normative complexity. First, it appears that the RPT Index overly emphasizes the role played by a jurisdiction's formal corporate and securities laws in determining the effectiveness of its RPT regulation, and it fails to pay due regard to its corporate culture and rule of law norms in determining the efficiency of its RPT regulation. Second, the RPT Index erroneously assumes that controlling shareholders are a homogeneous group driven by similar incentives. Third, the general assumption that RPTs per se are evidence of defective corporate governance and that stricter regulation of RPTs consequently equates to "good law" is erroneous. Demonstrating the frailties of the RPT Index is important in practice because jurisdictions especially developing ones commonly look to the DBR and its indices when reforming their laws. In addition, the RPT Index is built on some of the most influential research in the field of comparative corporate law, which makes our challenge to the validity of the RPT Index academically significant.
C3VQG: category consistent cyclic visual question generation
Venue: MMAsia
Year: 2020

Visual Question Generation (VQG) is the task of generating natural questions based on an image. Popular methods in the past have explored image to sequence architectures trained with maximum likelihood which have demonstrated meaningful generated questions given an image and its associated ground truth answer. VQG becomes more challenging if the image contains rich contextual information describing its different semantic categories. In this paper, we try to exploit the different visual cues and concepts in an image to generate questions using a variational autoencoder (VAE) without ground truth answers. Our approach solves two major shortcomings of existing VQG systems: (i) minimize the level of supervision and (ii) replace generic questions with category relevant generations. Most importantly, by eliminating expensive answer annotations, the required supervision is weakened. Using different categories enables us to exploit different concepts as the inference requires only the image and the category. Mutual information is maximized between the image, question, and answer category in the latent space of our VAE. A novel category consistent cyclic loss is proposed to enable the model to generate consistent predictions with respect to the answer category, reducing redundancies and irregularities. Additionally, we also impose supplementary constraints on the latent space of our generative model to provide structure based on categories and enhance generalization by encapsulating decorrelated features within each dimension. Through extensive experiments, the proposed model, C3VQG outperforms state of the art VQG methods with weak supervision.
An exploration enhanced grey wolf optimizer to solve high dimensional numerical optimization
Venue: Eng. Appl. Artif. Intell.
Year: 2018

Grey wolf optimizer (GWO) algorithm is a relatively novel population based optimization technique that has the advantage of less control parameters, strong global optimization ability and easy of implementation. It has received significant interest from researchers in different fields. However, there is still an insufficiency in the GWO algorithm regarding its position updated equation, which is good at exploitation but poor at exploration. In this work, we proposed an improved algorithm called the exploration enhanced GWO (EEGWO) algorithm. In order to improve the exploration, a new position updated equation is presented by applying a random individual in the population to guide the search of new candidate individuals. In addition, in order to make full use of and balance the exploration and exploitation of the GWO algorithm, we introduced a nonlinear control parameter strategy, i.e. the control parameter of a is nonlinearly increased over the course of iterations. The experimental result on a set of 23 benchmark functions and 4 engineering applications demonstrate the effectiveness and efficiency of the modified position updated equation and the nonlinear control parameter strategy. The comparisons show that the proposed EEGWO algorithm significantly improves the performance of GWO. Moreover, EEGWO offers the highest solution quality, strongest robustness, and fastest global convergence among all of the contenders on almost all of the test functions.
Electrochemical synthesis of n type ZnS layers on p Cu2O/n ZnO heterojunctions with different deposition temperatures
Year: 2019

Metal oxide p n heterojunctions consisting of p Cu2O/n ZnO/n ZnS nanostructures were deposited on an ITO substrate by three step electrodeposition. The effect of ZnS layer deposition temperature on the properties of the heterojunction was investigated by different techniques. The Mott Schottky analysis confirmed the n type conductivity for ZnO and ZnS and p type conductivity for the Cu2O layer, respectively. Also, it showed a decrease of ZnS donor concentration with increasing deposition temperature. The X ray diffraction (XRD) analysis confirms a pure phase of hexagonal ZnO, cubic ZnS and cubic Cu2O structures, respectively. The heterojunction with ZnS deposited at 60 degC shows high crystallinity. The morphological measurements by scanning electron microscopy (SEM) indicate that the deposition temperature has a significant influence on the morphology of ZnO and the atomic force microscopy (AFM) images revealed the improvement of Cu2O morphology by increasing the ZnS deposition temperature. The UV Vis response shows strong absorption in the visible region and the profile of optical absorption spectra changes with the ZnS deposition temperature. The current voltage (I V) characteristics of the Au/p Cu2O/n ZnO/n ZnS/ITO heterojunction display well defined rectifying behavior for the heterojunction with ZnS deposited at 60 degC.
Frequency measurement of vowel formants produced by Brazilian children aged between 4 and 8 years.
Venue: Journal of voice official journal of the Voice Foundation
Year: 2015

To investigate frequency measurement of the first three formants of the seven oral Brazilian Portuguese vowels of healthy children aged 4 8 years.  Two hundred seven children of both genders were selected by oral expression screening and perceptive auditory analysis. They were separated into four age groups (G1, G2, G3, and G4) and by gender. The voice signals were obtained from key sentence utterance and segments of the seven Brazilian Portuguese oral vowels in tonic position used to estimate formant frequency measurement. Software Praat was used to for processing the recordings.  Findings were presented by mean values of each of the investigated parameters. A rate of 61.90% of statistically significant differences between genders was found, and when analyzing the age groups and genders, we observed that 65 of the 84 items studied (seven vowels x three formant frequencies x four groups) had higher frequencies of formants for girls. There was a decrease in the frequencies values of the first three formants with age. The results recommended grouping of G1 and G2, and they showed a clear difference between this new formed group and G4. In the age groups of 5 year old to 6 years 11 months (G2 and G3) and 6 year old to 7 years 11 months (G3 and G4) there were statistically significant changes that were random for parameter and vowel. There was a decrease in the frequencies values of the first three formants with age.  Formant frequencies showed a tendency to differentiate genders and their absolute values were in general higher in girls. Age increases showed decreases in formant frequencies. Tests for statistical differences led to grouping of G1 and G2 and a clear difference between this new formed group and G4. The comparison between G2 and G3 and G3 and G4 showed random changes. The changes during this age period (5 year old to 7 years 11 months) were attributed to a transition stage of acoustic measurements in children. As formant frequencies vary according to structural and postural aspects of the vocal tract and speech organs, their study in healthy children contributes for the understanding of the development of the pediatric phonation system, in addition to offering a reference data set for future studies of children with vocal disorders that can potentially impact the resonance system.
Analysis of operational safety risks in shipbuilding using failure mode and effect analysis approach
Venue: Ocean Engineering
Year: 2019

This paper contributes to improving the limitations of traditional failure mode and effect analysis. This paper proposes a novel risk assessment approach using intuitionistic fuzzy numbers based quality function deployment (QFD) and VIKOR (VIsekriterijumska optimizacija i KOm promisno Resenje) approach. QFD approach based on intuitionistic fuzzy numbers handles the correlation among design requirements (DRs) correlation among customer requirements (CRs) relationship between CRs and DRs for each criterion occurrence, severity, and detection. Intuitionistic fuzzy numbers ensure an advantage to present more accurate and easier the judgments of the experts. This paper examines occupational accidents related failure modes in shipbuilding so that occupational accidents and failure modes mean CRs and DRs, respectively. QFD approach introduces an advantage to handle the relation between occupational accidents and failure modes. QFD approach defines the weights of DRs for each criterion. The weights of occurrence, severity, and detection are determined by using intuitionistic fuzzy numbers to the judgments of experts. These weights are integrated in VIKOR approach based on intuitionistic fuzzy numbers. The result of VIKOR approach presents the ranking of the occupational accidents related failure modes in shipbuilding. The highest risky failure mode in shipbuilding is defined as the lack of nets on ship scaffolds.