nils-herrmann/clean_scirepeval huggingface dataset:
Vertical and Horizontal Asymmetries are Related to Slower Sprinting and Jump Performance in Elite Youth Female Soccer Players.
Venue: Journal of strength and conditioning research
Year: 2018

Inter limb asymmetries have been shown to be greater during vertical jumping compared to horizontal jumping. Notable inter limb differences have also been established at an early age in male youth soccer players. Furthermore, given the multi planar nature of soccer, establishing between limb differences from multiple jump tests is warranted. At present, a paucity of data exists regarding asymmetries in youth female soccer players and their effects on physical performance. The aims of this study were to quantify inter limb asymmetries from unilateral jump tests and examine their effects on speed and jump performance. Nineteen elite youth female soccer players performed a single leg countermovement jump (SLCMJ) single, triple, and crossover hops for distance and a 20 m sprint test. Test reliability was good to excellent (ICC 0.81 0.99) and variability acceptable (CV 1.74 5.42% A one way ANOVA highlighted larger asymmetries from the SLCMJ compared to all other jump tests (p 0.05) Pearson's correlations portrayed significant relationships between vertical asymmetries from the SLCMJ and slower sprint times (r 0.49 0.59) Significant negative relationships were also found between horizontal asymmetries during the triple hop test and horizontal jump performance (r 0.47 to 0.58) and vertical asymmetries during the SLCMJ and vertical jump performance (r 0.47 to 0.53) The results from this study highlight that the SLCMJ appears to be the most appropriate jump test for identifying between limb differences with values ~12% showing negative associations with sprint times. Furthermore, larger asymmetries are associated with reduced jump performance and would appear to be direction specific. Practitioners can use this information as normative data to be mindful of when quantifying inter limb asymmetries and assessing their potential impact on physical performance in youth female soccer players.
Polarization dynamic patterns of vector solitons in a graphene mode locked fiber laser.
Venue: Optics express
Year: 2015

Multiple polarization dynamic patterns of vector solitons, including fundamental solitons, bunched solitons, loosely or tightly bound states and harmonic mode locking have been observed experimentally in an erbium doped fiber ring laser with graphene as a saturable absorber. By carefully adjusting the pump power and the orientation of the intra cavity polarization controller, either polarization rotation or polarization locked operation have all been achieved for the above vector solitons. This is the first time that high order harmonic mode locking of polarization rotation vector solitons has been achieved. The signal to noise ratio of our system was ~51 dB, which indicates that the laser operated with high stability.
Anti inflammatory and Cytoprotective Effect of Clinacanthus nutans Leaf But Not Stem Extracts on 7 Ketocholesterol Induced Brain Endothelial Cell Injury
Venue: Neuromolecular medicine
Year: 2020

Clinacanthus nutans (Lindau) C. nutans has diverse uses in traditional herbal medicine for treating skin rashes, insect and snake bites, lesions caused by herpes simplex virus, diabetes mellitus and gout in Singapore, Malaysia, Indonesia, Thailand and China. We previously showed that C. nutans has the ability to modulate the induction of cytosolic phospholipase A 2 (cPLA 2 expression in SH SY5Y cells through the inhibition of histone deacetylases (HDACs) In the current study, we elucidated the effect of C. nutans on the hCMEC/D3 human brain endothelial cell line. Endothelial cells are exposed to high levels of the cholesterol oxidation product, 7 ketocholesterol (7KC) in patients with cardiovascular disease and diabetes, and this process is thought to mediate pathological inflammation. 7KC induced a dose dependent loss of hCMEC/D3 cell viability, and such damage was significantly inhibited by C. nutans leaf extracts but not stem extracts. 7KC also induced a marked increase in mRNA expression of pro inflammatory cytokines, IL 1b IL 6, IL 8, TNF a and cyclooxygenase 2 (COX 2) in brain endothelial cells, and these increases were significantly inhibited by C. nutans leaf but not stem extracts. HPLC analyses showed that leaf extracts have a markedly different chemical profile compared to stem extracts, which might explain their different effects in counteracting 7KC induced inflammation. Further study is necessary to identify the putative phytochemicals in C. nutans leaves that have anti inflammatory properties.
Dorsal Raphe Dopamine Neurons Represent the Experience of Social Isolation
Venue: Cell
Year: 2016

The motivation to seek social contact may arise from either positive or negative emotional states, as social interaction can be rewarding and social isolation can be aversive. While ventral tegmental area (VTA) dopamine (DA) neurons may mediate social reward, a cellular substrate for the negative affective state of loneliness has remained elusive. Here, we identify a functional role for DA neurons in the dorsal raphe nucleus (DRN) in which we observe synaptic changes following acute social isolation. DRN DA neurons show increased activity upon social contact following isolation, revealed by in vivo calcium imaging. Optogenetic activation of DRN DA neurons increases social preference but causes place avoidance. Furthermore, these neurons are necessary for promoting rebound sociability following an acute period of isolation. Finally, the degree to which these neurons modulate behavior is predicted by social rank, together supporting a role for DRN dopamine neurons in mediating a loneliness like state. PaperClip
Study on different diets on the biological parameters of rice moth Corcyra cephalonica (Stainton)
Venue: International Journal of Agricultural Invention
Year: 2019

The present investigations were undertaken in laboratory on "Study on factitious host Corcyra cephalonica (Stainton) against storage of egg parasitoid Trichogramma chilonis (Ishii) cards under laboratory conditions" during the year 2018 in the bio control laboratory, Department of Agricultural Entomology, College of Agriculture, Sardar Vallabhbhai Patel University of Agriculture and Technology, Meerut (U. P. India. The effects of different rearing media on some biological parameters of factitious host, C. cephalonica are based on results are most effective performance with T3 (Sorghum Groundnut Yeast powder, 50:50 5g Yeast) treatments i.e. larval, pupal, male and female moths emergence, and egg production in cc and followed by 17530, 16667, 15131,14875, 13545 and 11830 i.e. T3 (Sorghum Groundnut Yeast powder, 50:50 5g Yeast) T5 (Sorghum Soyabeen Yeast powder, 50:50 5g Yeast) T6 (Sorghum Cowpea Yeast powder, 50:50 5g Yeast) T4 (Sorghum Gram powder Yeast powder, 50:50 5g Yeast) T2 (Sorghum Green Gram Yeast powder, 50:50 +5g Yeast) T1 (Sorghum Black gram Yeast powder, 50:50 5g Yeast) and T7 (Sorghum alone (check) eggs per cc of Sorghum Groundnut Yeast powder, 50:50 5g Yeast and wheal) respectively.
Robust Spectral Unmixing of Sparse Multispectral Lidar Waveforms Using Gamma Markov Random Fields
Venue: IEEE Transactions on Computational Imaging
Year: 2017

This paper presents a new Bayesian spectral unmixing algorithm to analyze remote scenes sensed via sparse multispectral Lidar measurements. To a first approximation, in the presence of a target, each Lidar waveform consists of a main peak, whose position depends on the target distance and whose amplitude depends on the wavelength of the laser source considered (i.e. on the target reflectivity) Besides, these temporal responses are usually assumed to be corrupted by Poisson noise in the low photon count regime. When considering multiple wavelengths, it becomes possible to use spectral information in order to identify and quantify the main materials in the scene, in addition to estimation of the Lidar based range profiles. Due to its anomaly detection capability, the proposed hierarchical Bayesian model, coupled with an efficient Markov chain Monte Carlo algorithm, allows robust estimation of depth images together with abundance and outlier maps associated with the observed three dimensional scene. The proposed methodology is illustrated via experiments conducted with real multispectral Lidar data acquired in a controlled environment. The results demonstrate the possibility to unmix spectral responses constructed from extremely sparse photon counts (less than 10 photons per pixel and band)
Rethinking Intercultural Communication Competence in English Language Teaching: A Gap between Lecturers' Perspectives and Practices in a Southeast Asian Tertiary Context.
Year: 2017

It is undeniable that the existence of internationalization has given a great deal of influences within various fields of worldwide nations, namely science, technology, economics, politics, and even education. One of its obvious results is the emergence of intercultural communication and English language has then become as a bridge for cross cultural communication, thanks to its worldwide lingua franca. For these reasons, Intercultural Communication Competence (ICC) should be more concerned in English Language Teaching (ELT) tertiary contexts. Although ICC in ELT has been long discussed in the previous studies of Vietnamese tertiary contexts, its investigations are revealed differently and separately with regard to its theoretical analysis in this context or its practices in English classrooms. This study aims to gain an indepth understanding on this issue by investigating English teachers' perceptions and practices on ICC in ELT in the context of Vietnamese southern tertiary institutions. The study uses a mixed method, namely a survey questionnaire and interviews to English lecturers from six southern universities in Vietnam. The findings of the study reveal the positive attitudes of English lecturers on ICC in ELT, but certain challenges confronted by their implementations have been highlighted. As a result, some possible measures to enhance ICC engagement in ELT in this context are proposed.
Pairwise Clustering by Minimizing the Error of Unsupervised Nearest Neighbor Classification
Venue: 2013 12th International Conference on Machine Learning and Applications
Year: 2013

Pair wise clustering methods, including the popular graph cut based approaches such as normalized cut, partition the data space into clusters by the pair wise affinity between data points. The success of pair wise clustering largely depends on the pair wise affinity function defined over data points coming from different clusters. Interpreting the pair wise affinity in a probabilistic framework, we build the relationship between pair wise clustering and unsupervised classification by learning the soft Nearest Neighbor (NN) classifier from unlabeled data, and search for the optimal partition of the data points by minimizing the generalization error of the learned classifier associated with the data partitions. Modeling the underlying distribution of the data by non parametric kernel density estimation, the asymptotic generalization error of the unsupervised soft NN classification involves only the pair wise affinity between data points. Moreover, such error rate reduces to the well known kernel form of graph cut in case of uniform data distribution, which provides another understanding of the kernel similarity used in Laplacian Eigenmaps  which also assumes uniform distribution. By minimizing the generalization error bound, we propose a new clustering algorithm. Our algorithm efficiently partition the data by inference in a pair wise MRF model. Experimental results demonstrate the effectiveness of our method.
Comparative Analysis of some Low Complexity Blind Synchronization Algorithms for IR UWB Systems
Venue: J. Commun.
Year: 2012

Ultra wideband (UWB) radio has emerged as anattractive candidate for short range wireless communicationsin recent years due to its unique features. However,implementation of UWB radios in order to utilize these features is coupled with some pronounced design challenges.To achieve precise timing synchronization is one of the most crucial task among them and is a key factor to ensure a reliable performance of such systems. In this paper,we present an overview and comparative study of three synchronization algorithms which provide efficient performance under unique signal and channel characteristics of UWB. These algorithms employ cross correlation, PN code matching and energy detection operations respectively to achieve synchronization. The performance is then analyzed by numerical results under realistic propagation environment that takes into account the severe multipath and interframe interference (IFI) Also, hardware complexity and acquisition speeds of these algorithms are discussed.
Spatial Habitat Suitability Models of Mangroves with Kandelia obovata
Year: 2020

Mangrove forests provide important estuarine ecosystem services but are threatened by rising sea levels and anthropogenic impacts. Understanding the habitat characteristics required for mangrove growth is significant for mangrove restoration and integrated management. This study aims to build spatial habitat suitability index (HSI) models for Kandelia obovata mangrove trees. Biological and habitat related environmental data were collected in the Wazwei and Guandu wetlands in northern Taiwan. We adopted inundation frequency, soil sorting coefficient, and water salinity as the key environmental factors to build HSI models. The dependent variable of these environmental factors was the mangrove biomass per unit area. Significant differences were found for the mangrove biomass on different substrata and shore elevations. The tidal creek had the lowest elevation, and mangrove areas were found at the highest elevations. The oxidization level of the substrate under mangrove forests was high, indicating that the root system of mangroves could carry oxygen into the soil and result in oxidation. Human activities were found to lead to the reduced growth conditions of mangroves. The validation of the HSI model, considering the inundation frequency and soil sorting coefficient, proved to be reliable, with an accuracy ranging from 78% to 90% A better simulation was found after revising the model by incorporating the factor of water salinity. The model forecast of the mangrove responses to the sea level rise indicated an increase in the inundation frequency and thus an induced shift and shrinkage of the mangrove area. The increased HSI values of the bare mudflat area demonstrate an option for the potential restoration of mangrove trees. Given the findings of this study, we concluded that mangroves could spread from estuaries to upstream areas due to rising sea levels and might be limited by humanmade impacts. Restoring degraded floodplains is suggested for mangrove habitat rehabilitation.
O RECONHECIMENTO DO BEM ESTAR DO TRABALHADOR E A RESPONSABILIDADE SOCIAL CORPORATIVA: ANALISE DE ESTUDOS DE CASO BRASILEIRO
Venue: Revista Gestao Sustentabilidade Ambiental
Year: 2019

Os trabalhadores sao partes interessadas nas operacoes das organizacoes, pautando acoes de Responsabilidade Social com o bem estar. Nessa perspectiva, compreende se uma relacao integradora entre sustentabilidade e ergonomia, abrangendo a concepcao de sistemas harmonicos entre forca de trabalho saudavel e produtiva. Quanto ao objetivo, o estudo buscou identificar se as organizacoes reconhecidas por proporcionar bem estar aos trabalhadores, consideradas melhores para trabalhar, tambem sao caracterizadas por praticas em Responsabilidade Social Corporativa RSC. No que se refere aos procedimentos metodologicos, trata se de estudo de caso multiplo, com informacoes coletadas de fontes secundarias, websites e relatorios de sustentabilidade. Os dados foram descritos e exposto em quadros que permitiram uma visualizacao sintetizada dos reconhecimentos auferidos pelas organizacoes. Foram tres empresas selecionadas, a Elektro, Sama e SAP Labs Latin America, referenciadas, cada uma no seu setor de atuacao, na revista Voce SA, que em metodologia propria, define um indice de felicidade no trabalho IFT. Os resultados evidenciaram que organizacoes reconhecidas por proporcionar bem estar aos seus trabalhadores tambem sao caracterizadas como atuantes em iniciativas de RSC, indicando uma possivel relacao entre bem estar e RSC, dado que corporacoes que se preocupam com questoes de sustentabilidade coorporativa influenciam em termos de atratividade e percepcao dos seus funcionarios. Cabe destacar, que em ambas as organizacoes estudadas, atuantes de forma global, foram identificados aspectos de transparencia e credibilidade nos relatorios de sustentabilidade divulgados, tendo em vista a padronizacao, conforme as diretrizes do Global Reporting Initiative GRI.
Global Synchronization of Complex Dynamical Networks with Internal Delay and Distributed Delay Coupling via Aperiodically Intermittent Control
Year: 2019

In this paper, the global synchronization problem for a class of complex dynamical networks with internal delay and distributed delay coupling is investigated via aperiodically intermittent control. The network topology is assumed to be directed. Based on the reduction to absurdity and mathematical induction method, some sufficient conditions to guarantee global synchronization are derived analytically. Different from previous works, the control type here is aperiodic intermittent with changeable control period, which expands the scope of practical applications of intermittent control strategy. Finally, a numerical example is provided to demonstrate the effectiveness of the theoretical results.
Polarization anisotropy of transient carrier and phonon dynamics in carbon nanotubes
Year: 2009

We report on polarization dependent transient carrier dynamics and coherent phonon oscillations in single walled carbon nanotubes by determining the relation between the nanotube axis and the incident light polarization. Due to the anisotropic shape of nanotubes, optical absorption strongly depends on the polarization direction. We observed three decay components when the excitation wavelength was resonant with the E22 transition energy and observed two decay components under off resonance conditions. The transient absorption and coherent phonon amplitudes were measured as a function of the angle between the pump and probe polarizations and were analyzed based on the absorption anisotropy of carbon nanotubes.
Unsupervised Morphological Segmentation for Low Resource Polysynthetic Languages
Year: 2019

Polysynthetic languages pose a challenge for morphological analysis due to the rootmorpheme complexity and to the word class "squish" In addition, many of these polysynthetic languages are low resource. We propose unsupervised approaches for morphological segmentation of low resource polysynthetic languages based on Adaptor Grammars (AG) (Eskander et al. 2016) We experiment with four languages from the Uto Aztecan family. Our AG based approaches outperform other unsupervised approaches and show promise when compared to supervised methods, outperforming them on two of the four languages.
Contributory factors of delay in green building projects in Malaysia
Year: 2018

Despite the heightened focus on environmental sustainability in green construction, there is a limited number of research has been conducted to analyse such projects especially in the aspect of delay. Delay can be defined as the late completion of work beyond the planned schedule. Previous studies have concluded that green construction projects are likely to experience delay compared to traditional construction projects. Thus, this study aimed to identify the contributory factors of delay and their impact on the completion of green building project as well as identifying the way to minimize the delay. Literature review was conducted to get a broader perspective on the causes, effects and ways to minimize delay in green building project. A questionnaire survey was developed based on data obtained to rate the level of significance of factors, effects and ways to minimize delay. The field survey conducted includes experienced clients, consultants and contractors in green building project in Malaysia. Relative Importance Index method was used to determine the ranking of different factors, effects of delay and way to minimize delay from the different group of respondents. Three factors that significantly cause delay in green building projects are slow decision making involving all project team, late in revising and approving design documents by consultant and delay in progress payment by client. Cost overrun, time overrun and litigation are rated as the most common effects of delay in green building projects. The three most effective ways to overcome the delay in green building projects are checking contractors' resources and capabilities before awarding the contract; managing site effectively; and managing financial resources and plan cash flow of contractor by utilising progress payment. The findings will guide efforts to improve the performance of green building project in Malaysia by assisting construction key players in providing a better ways and methods in delivering green building projects effectively.
Transfer learning for Turkish named entity recognition on noisy text
Venue: Natural Language Engineering
Year: 2020

In this article, we investigate using deep neural networks with different word representation techniques for named entity recognition (NER) on Turkish noisy text. We argue that valuable latent features for NER can, in fact, be learned without using any hand crafted features and/or domain specific resources such as gazetteers and lexicons. In this regard, we utilize character level, character n gram level, morpheme level, and orthographic character level word representations. Since noisy data with NER annotation are scarce for Turkish, we introduce a transfer learning model in order to learn infrequent entity types as an extension to the Bi LSTM CRF architecture by incorporating an additional conditional random field (CRF) layer that is trained on a larger (but formal) text and a noisy text simultaneously. This allows us to learn from both formal and informal/noisy text, thus improving the performance of our model further for rarely seen entity types. We experimented on Turkish as a morphologically rich language and English as a relatively morphologically poor language. We obtained an entity level F1 score of 67.39% on Turkish noisy data and 45.30% on English noisy data, which outperforms the current state of art models on noisy text. The English scores are lower compared to Turkish scores because of the intense sparsity in the data introduced by the user writing styles. The results prove that using subword information significantly contributes to learning latent features for morphologically rich languages.