nils-herrmann/clean_scirepeval huggingface dataset:
CHAMP: A powerful submm Heterodyne Array
Year: 2008

To make best use of the exceptional good weather conditions at Chajnantor we developed CHAMP+ a two time seven pixel dual color heterodyne array for operation in the 350 and 450 um atmospheric windows. CHAMP+ uses state of the art SIS mixers provided by our collaborators at SRON. To maximize its performance, optical single sideband filter are implemented for each of the two subarrays, and most of the optics is operated cold (20K) to minimize noise contributions. The instrument can be operated remotely, under full computer control of all components. The autocorrelator backend, currently in operation with 2 x 1GHz of bandwidth for each of the 14 heterodyne channels, will be upgraded by a new technologies FFT spectrometer array in mid 2008. CHAMP+ has been commissioned successfully in late 2007. We will review the performance of the instrument "in the field," and present its characteristics as measured on sky.
Local Road Extraction from SAR Imagery Exploiting Improved Curvilinear Structure Detector
Venue: 2019 IEEE Asia Pacific Microwave Conference (APMC)
Year: 2019

By introducing improved curvilinear structure detector (ICSD) this paper proposed an approach for local road extraction from synthetic aperture radar (SAR) images. First, the ICSD is used to extract the centerlines and direction of local roads. Second, ICSD is employed to extract edges in SAR images, since the edges of SAR image appear as curvilinear structures in its edge strength map (ESM) Then, the local roads are obtained by mutual verification between centerlines and edges due to the large amount of interference. Finally, the missing edge pixels are extracted. The experimental results are shown to demonstrate the correctness of the theoretical analysis and the effectiveness of the proposed method.
On 'Portugueseness' A Semiotic Approach
Year: 2019

What is 'Portugueseness' From a constructionist and semiotic perspective, in this paper I deal with this contested and fuzzy concept, which although many criticize as a fallacious attempt do describe a sort of reality that does not exist, is however a meaningful concept that many employ in order to guide social action. As I argue based on the work of Geertz and Eco, 'Portugueseness' needs to be conceived not referentially, but as a discursive entity that refers to a cultural unit that is distinct from other units that are meaningful when mapping the complex continuum of national identities. After discussing the concept from a theoretical perspective, I focus on three of its main dimensions: its meaning, its uses and its content.
Maternal and paternal depressive symptoms and children's emotional problems at the age of 2 and 5 years: a longitudinal study.
Venue: Journal of child psychology and psychiatry, and allied disciplines
Year: 2019

Maternal and paternal depressive symptoms are related to children's emotional problems, but their combined effect remains unclear. Here, we constructed four parental longitudinal depressive symptom trajectory groups and studied their associations with children's emotional problems at the age of 2 and 5 years.  We did an assessment of maternal and paternal depressive symptoms (gestational week 32, as well as 3, 8 and 24 months postnatally) and children's emotional problems at ages two (N 939) and five (N 700) in the CHILD SLEEP cohort. Three separate maternal and paternal depressive symptom trajectories based on latent profile analysis were combined to form four parental depressive symptom trajectory groups. We compared groups with a general linear model, with children's emotional (total, internalizing and externalizing) problem scores serving as the dependent variables.  At both ages, combined parental depressive symptom trajectories were associated with children's emotional problems: effect sizes were medium for total and small for other domains. According to post hoc comparisons, children whose mothers or both parents had persistent depressive symptoms had significantly more total, externalizing and internalizing problems than did children who had neither parent nor only the father showing depressive symptoms. A higher (and persistent) level of maternal depressive symptoms was related to a higher level of these children's emotional problems, a pattern not evident with paternal depressive symptoms. In all analyses, the interaction effect was nonsignificant between parental trajectories and child gender.  Findings suggest that an absence of depressive symptoms in their fathers cannot compensate for the adverse effects of maternal depressive symptoms upon their children. Moreover, paternal depressive symptoms alone do not lead to increased risk for emotional problems in these 2 and 5 year old children. In contrast, even subclinical levels of maternal depressive symptoms in late pregnancy are associated with increased risk for their children's experiencing internalizing and externalizing emotional problems.
Impact of social isolation and enriched environment during adolescence on voluntary ethanol intake and anxiety in C57BL/6J mice
Venue: Physiology Behavior
Year: 2015

This study was designed to determine the impact of an enriched environment in a previously established stress model of isolation during early development that induces high alcohol (ethanol) self administration. The study was conducted with male and female C57BL/6J mice housed in isolation or in groups that were either provided or withheld enrichment during adolescence. The impact of these housing conditions was assessed during adulthood by measuring weight gain, quantifying voluntary ethanol intake, measuring plasma corticosterone levels, and assessing anxiety like behavior. Results showed that, regardless of sex, mice that were single housed during adolescence showed a significant increase in voluntary ethanol intake, which was not observed in isolated mice that were provided with nesting material during adolescence (compared to group housed non enriched control group) Basal corticosterone was not affected by housing, enrichment conditions, or sex. Corticosterone levels did not relate to levels of voluntary ethanol intake. However, corticosterone levels were higher after three weeks of ethanol intake. Surprisingly, mice that were group housed during adolescence showed higher levels of anxiety like behavior in the light/dark test. Overall, these results indicate that housing conditions during a critical developmental period can significantly modulate voluntary ethanol intake later in life.
Multiple Spatio temporal Feature Learning for Video based Emotion Recognition in the Wild
Venue: ICMI
Year: 2018

The difficulty of emotion recognition in the wild (EmotiW) is how to train a robust model to deal with diverse scenarios and anomalies. The Audio video Sub challenge in EmotiW contains audio video short clips with several emotional labels and the task is to distinguish which label the video belongs to. For the better emotion recognition in videos, we propose a multiple spatio temporal feature fusion (MSFF) framework, which can more accurately depict emotional information in spatial and temporal dimensions by two mutually complementary sources, including the facial image and audio. The framework is consisted of two parts: the facial image model and the audio model. With respect to the facial image model, three different architectures of spatial temporal neural networks are employed to extract discriminative features about different emotions in facial expression images. Firstly, the high level spatial features are obtained by the pre trained convolutional neural networks (CNN) including VGG Face and ResNet 50 which are all fed with the images generated by each video. Then, the features of all frames are sequentially input to the Bi directional Long Short Term Memory (BLSTM) so as to capture dynamic variations of facial appearance textures in a video. In addition to the structure of CNN RNN, another spatio temporal network, namely deep 3 Dimensional Convolutional Neural Networks (3D CNN) by extending the 2D convolution kernel to 3D, is also applied to attain evolving emotional information encoded in multiple adjacent frames. For the audio model, the spectrogram images of speech generated by preprocessing audio, are also modeled in a VGG BLSTM framework to characterize the affective fluctuation more efficiently. Finally, a fusion strategy with the score matrices of different spatio temporal networks gained from the above framework is proposed to boost the performance of emotion recognition complementally. Extensive experiments show that the overall accuracy of our proposed MSFF is 60.64% which achieves a large improvement compared with the baseline and outperform the result of champion team in 2017.
Las emociones en el aprendizaje de una lengua extranjera: su impacto en la motivacion
Year: 2016

Este articulo presenta una revision de investigaciones afectivas para identificar el rango de emociones experimentadas por estudiantes de una lengua extranjera en diferentes contextos, las situaciones que han originado esas emociones y como estas han afectado su motivacion. En la presente revision, la influencia dominante de las emociones en la motivacion de estudiantes de una lengua extranjera es demostrada. Las causas que influyen mas en las experiencias emocionales reportadas en los diferentes estudios analizados son: profesores, companeros, habilidad oral, enfoque de retroalimentacion y el ambiente de aprendizaje. Esta revision intenta crear conciencia sobre el papel determinante de las emociones en la motivacion en el aprendizaje de una lengua extranjera, enfatiza las implicaciones de la investigacion en emociones para profesores de lenguas extranjeras y sugiere direcciones para investigaciones futuras.
Research on money laundering risk assessment of customers based on the empirical research of China
Year: 2016

To implement a risk based regulatory approach, this paper aims to make an assessment on customers' money laundering risk and conducts some applications.  During the transition of a regulatory approach from "rule based" to "risk based" this paper considers that the area of a customer, types of business and the industries to which the customer belongs are the main indicators to judge money laundering risk of a customer. Based on the statistical analysis of 221 typical money laundering cases, first class index weights are given by using the entropy weight method and then by combining with the membership function, this paper determines a customer's money laundering risk levels. On the basis of the entropy weight method, this paper uses the C5.0 algorithm to construct a decision tree model and then carries out application research on customer money laundering risk assessment to verify the effectiveness of the entropy weight method and the decision tree model.  This empirical research found the weights of three key money laundering indicators: customer areas, business types and corresponding industries.  Asserting that current money laundering risk assessments of customers are marginal at best, this paper contends from the perspective of practice, and applies the entropy weight method and the decision tree model for money laundering risk assessment of customers.
The Effect of Industry Attractiveness, Partnership Strategy, and Competitive Strategy on The Business Performance:
Year: 2020

Business performance of the companies engaged in the National Defense and High Technology Industry NDHI industry has not been optimal. It is tought to be related to the problems in partnership strategy, competitive strategy, and industry attractiveness. Based on this background, this study aims to examine the effect of industry attractiveness, competitive strategy, and partnership strategy on the business performance of the National Defense and High Technology Industry NDHI industry in Indonesia.This research was conducted by using quantitative research methods. The study was conducted at one time time horizon with cross section data type. The analytical design used to test hypotheses and determine the relationship between research variables is the Partial Least Square (PLS) analysis method. The unit of analysis of this research is a strategic and high tech industrial cluster SOE. The observation unit is the manager of each business unit at the director, division head and manager level. So that the research population is a SOE's business unit that is included in the Strategic Defense and High Technology Industry which totally 128. Thus this research is census.The research findings show that all variables, namely industry attractiveness, competitive strategy, and partnership strategy affect the business performance of SOEs's Business Unit of the Strategic Defense and High Technology Industry. Business performance is more dominantly influenced by competitive strategy, followed by partnership strategy, and industry attractiveness.The results of this study have implications for the management of the Business Units of the Strategic Defense Industry and High Technology Industrial Clusters in Indonesia that efforts to improve business performance must rely on developing competitive strategy that is supported by the development of partnership strategy and adaptation on the industry attractiveness.
Unsupervised Representation Learning From Pathology Images With Multi Directional Contrastive Predictive Coding
Venue: 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)
Year: 2021

Digital pathology tasks have benefited greatly from modern deep learning algorithms. However, their need for large quantities of annotated data has been identified as a key challenge. This need for data can be countered by using unsupervised learning in situations where data are abundant but access to annotations is limited. Feature representations learned from un annotated data using contrastive predictive coding (CPC) have been shown to enable classifiers to obtain state of the art performance from relatively small amounts of annotated computer vision data. We present a modification to the CPC framework for use with digital pathology patches. This is achieved by introducing an alternative mask for building the latent context and using a multi directional PixelCNN autoregressor. To demonstrate our proposed method we learn feature representations from the Patch Camelyon histology dataset. We show that our proposed modification can yield improved deep classification of histology patches.
Optical Properties of Mist CVD Grown a Ga2O3
Venue: IEEE Photonics Technology Letters
Year: 2020

We report on the study of optical properties of mist CVD grown <inline formula> <tex math notation="LaTeX"\alpha /tex math>/inline formula> Ga<sub>2</sub>O<sub>3</sub> with the observation of excitonic absorption in spectral responsivity measurements. 163 nm of Ga<sub>2</sub>O<sub>3</sub> was grown on sapphire using Ga (acac)<sub>3</sub> as the starting solution at a substrate temperature of 450degC. The film was found to be crystalline and of <inline formula> <tex math notation="LaTeX"\alpha /tex math>/inline formula> phase with an on axis full width at half maximum (FWHM) of 92 arcsec as confirmed from X ray diffraction scans. The Eliott Toyozawa model was used to deduce band gap and excitonic binding energy from the absorption spectrum. The exciton binding energy was extracted to be 90 meV with large Gaussian spread of 0.195 eV. From spectral responsivity (S.R) measurements, a similar value of excitonic binding energy was found. This unusually huge binding energy is attributed to strong interaction between longitudinal optical (LO) phonons and excitons. Further, metal semiconductor metal (MSM) photodetectors (PD) with lateral inter digitated geometry were fabricated on the film. A sharp band edge was observed at 229 nm 5.42 eV) in the spectral response with peak responsivity of ~1 A/W at a bias of 20 V. The UV to visible rejection ratio was found to be 100 while the dark current was measured to be 0.1 nA at a bias voltage of 20 V.
Position Sense Deficits at the Lower Limbs in Early Multiple Sclerosis: Clinical and Neural Correlates
Venue: Neurorehabilitation and neural repair
Year: 2020

Position sense, defined as the ability to identify joint and limb position in space, is crucial for balance and gait but has received limited attention in patients with multiple sclerosis (MS) We investigated lower limb position sense deficits, their neural correlates, and their effects on standing balance in patients with early MS.  A total of 24 patients with early relapsing remitting MS and 24 healthy controls performed ipsilateral and contralateral matching tasks with the right foot during functional magnetic resonance imaging. Corpus callosum (CC) integrity was estimated with diffusion tensor imaging. Patients also underwent an assessment of balance during quiet standing. We investigated differences between the 2 groups and the relations among proprioceptive errors, balance performance, and functional/structural correlates.  During the contralateral matching task, patients demonstrated a higher matching error than controls, which correlated with the microstructural damage of the CC and with balance ability. In contrast, during the ipsilateral task, the 2 groups showed a similar matching performance, but patients displayed a functional reorganization involving the parietal areas. Neural activity in the frontoparietal regions correlated with the performance during both proprioceptive matching tasks and quiet standing.  Patients with early MS had subtle, clinically undetectable, position sense deficits at the lower limbs that, nevertheless, affected standing balance. Functional changes allowed correct proprioception processing during the ipsilateral matching task but not during the more demanding bilateral task, possibly because of damage to the CC. These findings provide new insights into the mechanisms underlying disability in MS and could influence the design of neurorehabilitation protocols.
COMSOL Simulation of Heat Distribution in Perovskite Solar Cells: Coupled Optical Electrical Thermal 3 D Analysis
Venue: IEEE Journal of Photovoltaics
Year: 2019

The heat dissipation has been rarely investigated in solar cells although it has a significant impact on their performance and reliability. For the first time, an extended three dimensional (3 D) simulation of heat distribution in perovskite solar cells is presented here. We use COMSOL Multiphysics to investigate the temperature distribution in conventional perovskite solar cells through a coupled optical electrical thermal modules. Wave optics module, semiconductor module, and heat transfer in solid module are coupled in COMSOL Multiphysics package to perform the simulation in 3 D wizard. The electrical behavior, optical absorption, and heat conduction or convection are considered to gain insight into heat dissipation across the cell. The simulation results suggest that the heat produced in the cell is best dissipated from the metallic contact where the PbI$_2$ defect forms because of oxidation or decomposition of the perovskite layer at moisture exposure. The generated heat varies significantly from the front FTO contact to bottom metallic electrode. The more heat dissipation and accumulation is observed at the junction and electrode sides too. In our simulations, we consider the Joule heating, nonradiative recombination heating, and heat flux in every layer of the cell and calculate the carrier's concentration, electric field distribution, Joule heating, Shockley Read Hall heating, total heat flux, and temperature distribution across the solar cell structure. The simulations reveal that the metallic contact must be selected as a highly heat conductive material in order to accelerate the heat dissipation on the bottom of the cell and to enhance the cell reliability against temperature increase under normal operation.
News media trust and its impact on media use: toward a framework for future research
Year: 2020

In contemporary high choice media environments, the issue of media trust and its impact on people's media use has taken on new importance. At the same time, the extent to which people trust the news media and how much it matters for their use of different types of media is not clear. To lay the groundwork for future research, in this article we offer a focused review of (a) how news media trust has been conceptualized and operationalized in previous research and (b) research on the extent to which news media trust influences media use, and (c) offer a theoretically derived framework for future research on news media trust and its influence on media use.
Structure and composition of woody vegetation in two important bird areas in southern Zimbabwe
Year: 2013

This study assessed the status of woody vegetation structure and composition in two Important Bird Areas (IBA) i.e. Manjinji Pan and Save Runde Junction located in southeastern Zimbabwe. The objectives of this study were to: (i) determine the woody vegetation structure and composition of the study areas and (ii) find out any differences and similarities in woody vegetation between the two IBAs. Data about woody vegetation were collected from 40 randomly placed sample plots from both study areas. Tree density was higher in Manjinji Pan IBA (406.67 16.86 trees ha( 1) than Save Runde Junction IBA (275.83 17.62 trees ha( 1) In contrast, Save Runde Junction IBA had higher numbers of stems per plant (2.88 0.22) species richness (59) and diversity (H' 3.28) than Manjinji Pan IBA: numbers of stems per plant (2.16 0.12) species richness (43) and diversity (H' 2.90) No significant differences were recorded in woody plant height, shrub and dead plant densities. The findings suggest that several factors including fires, herbivory and human activities could be influencing the woody vegetation in the two IBAs. However, further research is suggested to better understand the drivers of woody vegetation variation in IBAs occurring in savanna ecosystems. It is recommended that species richness and diversity of woody plants should be maintained and invasive plant species controlled for the conservation of endemic and migratory avifauna.
Privacy aware smart city: A case study in collaborative filtering recommender systems
Venue: J. Parallel Distributed Comput.
Year: 2019

Ensuring privacy in recommender systems for smart cities remains a research challenge, and in this paper we study collaborative filtering recommender systems for privacy aware smart cities. Specifically, we use the rating matrix to establish connections between a privacy aware smart city and k coRating, a novel privacy preserving rating data publishing model. First, we model privacy concerns in a smart city as the problem of privacy preserving collaborative filtering recommendation. Then, we introduce k coRating to address privacy concerns in published rating matrices, by filling the null ratings with predicted scores. This allows us to mask the original ratings to preserve k anonymity like data privacy, and enhance data utility (quantified using prediction accuracy in this paper) We show that the optimal k coRated mapping is an NP hard problem and design an efficient greedy algorithm to achieve k coRating. We then demonstrate the utility of our approach empirically.