Miracle-dz/UniFAR-FTUs huggingface dataset:
KTabulator: Interactive Ad hoc Table Creation using Knowledge Graphs

The need to find or construct tables arises routinely to accomplish many tasks in everyday life, as a table is a common format for organizing data. However, when relevant data is found on the web, it is often scattered across multiple tables on different web pages, requiring tedious manual searching and copy-pasting to collect data. We propose KTabulator, an interactive system to effectively extract, build, or extend ad hoc tables from large corpora, by leveraging their computerized structures in the form of knowledge graphs. We developed and evaluated KTabulator using Wikipedia and its knowledge graph DBpedia as our testbed. Starting from an entity or an existing table, KTabulator allows users to extend their tables by finding relevant entities, their properties, and other relevant tables, while providing meaningful suggestions and guidance. The results of a user study indicate the usefulness and efficiency of KTabulator in ad hoc table creation.
Productive behavior of sheep fed with soy (Glycine max L.) forage

Objective: To evaluate the productive behavior of Creole sheep in the tropics fed a whole food diet that includes soybean (FS, Glycine max) fodder at different phenological stages. Methodology: The treatments T1: control, T2: 30% (SF-56 d), T3: 30% (SF-68 d), T4: 30% (SF-85 d), T5: 30% (SF-110 d) were assigned randomly to 30 male Creole sheep (15.511.6 kg LW). The experiment lasted 56 d. The variables evaluated were: dry matter intake (DMI), daily weight gain (DWG) and feed conversion (FC). The experimental design was completely randomized and the averages of the treatments were compared using the Tukey test. Results: Differences (p0.05) were found in DMI, DWG and FC. The DMI was lower (p0.05) in the control group. The DWG was higher in the animals that consumed soybean fodder compared to the control group (0.205 vs 0.121 kg d). The FC decreased (p0.05) 51% in T3 (SF 68 d), with respect to the control group. Study Limitations: The nutrient contribution of soybean fodder is based on the phenological stage of the plant. Likewise, producers in the tropical region have scarce knowledge about how to incorporate it in the feeding of small ruminants. Conclusions: The inclusion of 30% of soybean fodder at 68 d of age in a whole food diet improves the productive performance of the lambs because it increases daily weight gain and decreases feed conversion.
Humanity on the Brink - Youth in Poland and Germany about Refugee Rights

RESEARCH OBJECTIVE: The purpose of the presented paper, which has empirical nature, is to obtain data on how the rights of refugees are perceived today. THE RESEARCH PROBLEM AND METHODS: The research problem of the paper is: How do youth in Germany and Poland evaluate refugee rights and what factors influence their attitude towards refugee rights? The survey method was used in the research. The data collection took place 2013/2014. In Germany, the survey included a total of 2157 students, in Poland 1211 respondents. THE PROCESS OF ARGUMENTATION: The study was based on the assumption that attitudes towards refugee rights are predicted by such factors as: human dignity, empathy, religious beliefs, and socio-political perceptions and convictions. Based on these determinants, a conceptual model was created and used in the research. RESEARCH RESULTS: The findings show that respondents differ regarding refugee rights. German youth show some support for refugee rights and Polish youth are ambivalent. The strongest predictor for support of refugee rights for both groups is the concept of multiculturalism. The capacity for empathy and an advocacy of a politically active Christianity are important predictors, but only for the German sample. CONCLUSIONS, INNOVATIONS, AND RECOMMENDATIONS: The fact that religious beliefs have hardly positive impact on the support of refugee rights is a desideratum for religious education.
Bulk chemical composition contrast from attractive forces in AFM force spectroscopy

A key application of atomic force microscopy (AFM) is the measurement of physical properties at sub-micrometer resolution. Methods such as force–distance curves (FDCs) or dynamic variants (such as intermodulation AFM (ImAFM)) are able to measure mechanical properties (such as the local stiffness, kr) of nanoscopic heterogeneous materials. For a complete structure–property correlation, these mechanical measurements are considered to lack the ability to identify the chemical structure of the materials. In this study, the measured attractive force, Fattr, acting between the AFM tip and the sample is shown to be an independent measurement for the local chemical composition and hence a complete structure–property correlation can be obtained. A proof of concept is provided by two model samples comprised of (1) epoxy/polycarbonate and (2) epoxy/boehmite. The preparation of the model samples allowed for the assignment of material phases based on AFM topography. Additional chemical characterization on the nanoscale is performed by an AFM/infrared-spectroscopy hybrid method. Mechanical properties (kr) and attractive forces (Fattr) are calculated and a structure–property correlation is obtained by a manual principle component analysis (mPCA) from a kr/Fattr diagram. A third sample comprised of (3) epoxy/polycarbonate/boehmite is measured by ImAFM. The measurement of a 2 × 2 µm cross section yields 128 × 128 force curves which are successfully evaluated by a kr/Fattr diagram and the nanoscopic heterogeneity of the sample is determined.
Determinants of Patients’ Satisfaction and Influence of Advertisements on Dental Treatment Seekers

This cross-sectional study was conducted to assess the effects of social media advertisements on patients’ decisions to seek dental care and to determine the level of patient’s satisfaction following the treatment experience. The sample included 305 patients with 85.6% of them being females. Nearly half of the participants (49.2%) were exposed to advertisements through social media, followed by “family and friends” with 44.6%, “other sources” (4.9%), “newspapers and magazines” (0.7%) and TV (0.7%). Quality was reported to be the main factor (27.2%) for following the advertisement, followed by reputation (26.2%), price (18.7%), convenience (18.0%), and customer service (9.8%). Nearly half of the participants (46.6%) reported “patients’ testimonies” as the main theme of the advertisement followed by “patients before and after photos” (37.4%), and 79.3% of the participants thought that adding these photos can increase trust in the clinic. The mean satisfaction score was 7.94 ± 2.62, with no significant difference among social media advertisement receivers and those viewing it through other sources (P-value = 0.823), with 7.86 ± 2.77 and 8.02 ± 2.48, respectively. Regarding factors affecting satisfaction score, price was associated a reduction in satisfaction score (b = -0.38; P-value = 0.027), while convenience was associated with an increase in satisfaction score (b = 0.44; P-value = 0.010). For advertisements themes, patients’ testimonies (b = 0.48; P-value = 0.009) and patients’ before/after photos (b = 0.72; P-value < 0.001) were both associated with an increase in satisfaction score. In conclusion, social media advertisements and trusted persons’ recommendations are major determinants of choosing a specific clinic. Although the components of the advertisements may affect the patients’ satisfaction quality of the provided care is a significant predictor for satisfaction score. Large-scale studies are needed to develop concrete evidence and to identify more ways of increasing patients’ satisfaction.
Design of a candidate multi-epitope vaccine against SARS-CoV-2 using reverse vaccinology approach

Coronavirus 2019 (COVID-19) infection as a global epidemic that is spreading dramatically day to day. Currently, many efforts have been made against COVID-19 through the designing or developing of specific vaccine or drug, worldwide. In this study, we used the bioinformatics approach to design an effective multi-epitope vaccine against COVID-19 based on Spike (S) protein. Here, we employed in silico tools to identify potential T and B cell epitopes from S protein that have the ability to induce cellular and humoral immunity. Then, the peptide sequence of potential T, B cell epitopes and flagellin (as adjuvant molecule) were joined together by suitable linkers to construct of candidate multi-epitope vaccine (MEV). Subsequently, immunological and structural evaluations such as antigenicity, allergenicity, 3D modeling, molecular docking, fast flexibility simulations as well as in silico cloning were performed. Immunological and structural computational data showed that designed MEV potentially has proper capacity for inducing of cellular and humoral immune responses against COVID-19. Based on the preliminary results, in vitro and in vivo experiments are required for validation in the future.
Directors' Monitoring Role, Ownership Concentration and Audit fees

The research objective is to analyse different factors potentially involved in influencing the size of audit fees. The association between the Board of Directors and the shareholders of listed companies should be effectively developed and there should be a higher spirit of compliance with the governance code. The empirical model is constructed to assess the theoretical and statistical relationship between audit fees and corporate governance characteristics over a period of four years (for FTSE 350 companies excluding financial institutions between 2012 and 2015). Different testing techniques are used for robustness reasons. We found that Board of Directors' characteristics are significant in relation to audit fees. Some of the Audit Committee characteristics are affected by the collegiality principle in relation to the Board of Directors' characteristics. The consultative role of audit committee directors is dominated by the role of the Board of Directors. Mandatory audit fees, and not total auditors' remuneration is included in this study. While other studies assess mainly one corporate governance mechanism in relation to audit fees, we include the corporate governance mechanisms that are directly related to auditors' scope. This paper can be used as a tool for audit practitioners and corporate executives to seek a better auditor-client relationship.
Nonswellable and swellable ethylene glycol dimethacrylate-acrylic acid copolymer microspheres

In this study, nonswellable and swellable poly(ethylene glycol dimethacrylate/acrylic acid) copolymer microspheres, in the size range of 50–150 μm, were produced by conventional and modified suspension copolymerizations of the respective monomers, i.e., ethyleneglycol dimethacrylate (EGDMA) and acrylic acid (AA) in aqueous media. Poly(vinyl alcohol) and benzoyl peroxide were used as the stabilizer and the initiator. The diluent, i.e., toluene was included in the polymerization recipe of the modified suspension polymerization. The microspheres were characterized by optical microscopy, FTIR, and FTIR-DRS, and potentiometric titrations. Highly crosslinked, transparent, and nonswellable poly(EGDMA/AA) microspheres were obtained with the conventional suspension polymerization procedure. The modified suspension polymerization provided swellable, opaque, and crosslinked copolymer microspheres. Acrylic acid incorporation into the copolymeric microspheres were significantly higher in the modified procedure, relative to the conventional procedure. © 1996 John Wiley & Sons, Inc.
Rotational correlation times of a nitroxide spin probe in low temperature matrices determined by saturation transfer ESR: Their correlation to dynamic behavior of radiation products

Rotational correlation times τc of the spin probe, di‐tert‐butyl nitroxide, in several organic solvents cooled to temperatures lower than their melting points have been measured using a saturation transfer (ST) ESR technique. Since the ST spectra changed markedly depending on microwave power, we have introduced a scaled ST parameter to eliminate this effect. The temperature dependence of τc in a noncrystalline phase can be described by the Arrhenius relation. The activation energies are 17.6 kJ mol−1 for methanol containing 5% water, 20.8 kJ mol−1 for ethanol, and 18.9 kJ mol−1 for n‐propanol. The values are close to the activation energies reported for the solvation and decay rates of electrons in the solvents. The rotational correlation time can be expressed in terms of a viscosity using the Stokes–Einstein equation. However, a macroscopic viscosity fails to reproduce the observed τc, especially at low temperatures. On the other hand, we have evaluated the solvation rate of an electron in n‐propanol and.
Evolution of the Cytosolic Iron / Sulfur cluster Assembly machinery in Blastocystis 1 sp . and other microbial eukaryotes 2

Evolution of the Cytosolic Iron/Sulfur cluster Assembly machinery in Blastocystis 1 sp. and other microbial eukaryotes 2 Anastasios D. Tsaousis 1,2,*,§ , Eleni Gentekaki 1,§ , Laura Eme 1,§ , Daniel Gaston 1 & 3 Andrew J. Roger 1,* 4 5 Short title: The CIA machinery in microbial eukaryotes 6 7 1. Centre for Comparative Genomics and Evolutionary Bioinformatics, Dalhousie 8 University, Department of Biochemistry and Molecular Biology, Halifax, NS, B3H 4R2, 9 Canada 10 2. Laboratory of Molecular and Evolutionary Parasitology, School of Biosciences, 11 University of Kent, Canterbury, CT2 7NJ, UK 12 13 * Corresponding authors: Anastasios D. Tsaousis (Laboratory of Molecular and 14 Evolutionary Parasitology, School of Biosciences, University of Kent, Canterbury, CT2 15 7NJ, UK; email: tsaousis.anastasios@gmail.com) and Andrew J. Roger (Centre for 16 Comparative Genomics and Evolutionary Bioinformatics, Dalhousie University, 17 Department of Biochemistry and Molecular Biology, 5850 College Street, Halifax, 18 Canada, B3H 4R2; email: andrew.roger@dal.ca); 19 phone: +1 902 494 2881, fax: +1 902 494 1355 20 21 §: these authors made equal contributions to this manuscript 22 23 EC Accepts, published online ahead of print on 15 November 2013 Eukaryotic Cell doi:10.1128/EC.00158-13 Copyright © 2013, American Society for Microbiology. All Rights Reserved.
The Systematic Review On Gait Analysis: Trends And Developments

- The research on gait analysis has a drastic growth in recent years for various applications like authentication, video surveillance, health monitoring system and animation. Gait recognition is an emerging intelligent system because of its recognition at a distance and it works well with low resolution videos. This paper provide the various gait features extracted in model based approach and model free approach. This paper describes the survey of gait recognition techniques which include the four major steps such as data acquisition, preprocessing, feature extraction and classification. Descriptions about wearable sensor, Vision base and pathological database is summarized. In recent years, performance of human recognition has been impressively enhanced by deep architectures. This paper offers an up to-date survey of deep architectures on gait recognition, mainly focusing on the performance of convolutional neural network combined with other architectures. Furthermore, general challenges faced in gait recognition and directions for future research are discussed.
V IL NMN: A N EURAL M ODULE N ETWORK APPROACH TO V IDEO -G ROUNDED L ANGUAGE T ASKS

Neural module networks (NMN) have achieved success in image-grounded tasks such as Visual Question Answering (VQA) on synthetic images. However, very limited work on NMN has been studied in the video-grounded language tasks. These tasks extend the complexity of traditional visual tasks with the additional visual temporal variance. Motivated by recent NMN approaches on image-grounded tasks, we introduce Visio-Linguistic Neural Module Network (VilNMN) to model the information retrieval process in video-grounded language tasks as a pipeline of neural modules. VilNMN first decomposes all language components to explicitly resolve any entity references and detect corresponding action-based inputs from the question. The detected entities and actions are used as parameters to instantiate neural module networks and extract visual cues from the video. Our experiments show that VilNMN can achieve promising performance on two video-grounded language tasks: video QA and video-grounded dialogues.
Random Walk with Restart for Automatic Playlist Continuation and Query-Specific Adaptations

This Recsys Challenge paper by Team Radboud presents a solution to the automatic playlist continuation (APC) task using random walks, inspired by Pinterest's Pixie [5] and earlier work by the second author [4]. The generic idea of recommendation using random walks is specialised to the APC task by the specific choices made to represent playlists and tracks as a graph and by the design of pruning methods that reduce the scope of the random walks. Playlist characteristics are captured through track metadata, audio features and playlist title. Scoping of the random walks considers 1) title-based prefiltering, 2) title-based retrieval, 3) feature-based prefiltering and 4) degree pruning. Our methods are effective in reducing popularity bias, a common issue in related methods. The best performing recommender uses a hybrid degree pruning technique, for which we report an R-Precision of 0.1982, an NDCG of 0.3564 and a Recommended Songs Clicks of 2.2934, achieving 21st place on the main leaderboard and 9th on the creative leaderboard of the RecSys Challenge 2018. For a more complete description of the approach and evaluation results we refer to the first author's Master's Thesis [14].
Advice from Former-Smoking E-Cigarette Users to Current Smokers on How to Use E- Cigarettes as Part of an Attempt to Quit Smoking

The substitution of e-cigarettes with nicotine will almost remove the harm linked to smoking. Strategies that improve smokers' desire to use e-cigarettes rather than tobacco cigarettes are important. This must be understood. Current smokers who have successfully used E-cigarettes to quit smoking may be very useful for growing existing smokers' curiosity in converting and willingness to use E-cigarettes. In an online poll, the advice offered to smocks who intend to use e-cigarettes with e-cigarettes was asked of a global self-selected group from 4,192 former smokers who are stopping the smoking process. The subject of qualitative analysis of participant feedback established the following four main themes: (i) the mix of vaporizing devices, e-liquid flavors and the nicotine level 'functioning for all' and (ii) smoking for some time after the vaporization is begun OK; Experienced smoking vapors are able to give smokers tips and practical vapor awareness that can be useful when attempting to move from smoking to vaping. Encouraging smokers of tobacco to communicate with seasoned vapors as they were once told by vapers themselves, who are now recommending them on vaping shops who web communities – may have a tremendous ability to make more smokers transition to e-cigarette.
Response to reviewers of paper amt-2020-74 Table of content :

Current cloud and aerosol identification methods for multi-spectral radiometers, such as the Moderate Resolution Imaging Spectroradiometer (MODIS) and Visible Infrared Imaging Radiometer Suite (VIIRS), employ multi-channel spectral tests on individual pixels (i.e. field of views). The use of the spatial information in cloud and aerosol algorithms has been primarily statistical parameters such as non-uniformity tests of surrounding pixels with cloud classification provided by the multi-spectral microphysical retrievals such as phase and cloud top height. With these methodologies there is uncertainty in 5 identifying optically thick aerosols, since aerosols and clouds have similar spectral properties in coarse spectral-resolution measurements. Furthermore, identifying clouds regimes (e.g. stratiform, cumuliform) from just spectral measurements is difficult, since low-altitude cloud regimes have similar spectral properties. Recent advances in computer vision using deep neural networks provide a new opportunity to better leverage the coherent spatial information in multi-spectral imagery. Using a combination of machine learning techniques combined with a new methodology to create the necessary training data we demonstrate 10 improvements in the discrimination between cloud and severe aerosols and an expanded capability to classify cloud types. The training labeled dataset was created from an adapted NASA Worldview platform that provides an efficient user interface to assemble a human labeled database of cloud and aerosol types. The Convolutional Neural Network (CNN) labeling accuracy of aerosols and cloud types was quantified using independent Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) and MODIS cloud and aerosol products. By harnessing CNNs with a unique labeled dataset, we demonstrate the improvement 15 of the identification of aerosol and distinct cloud types from MODIS and VIIRS images compared to a per-pixel spectral and standard deviation thresholding method. The paper concludes with case studies that compare the CNN methodology results with the MODIS cloud and aerosol products.
Emerging Drug Resistance in Community Acquired Urinary Tract Infection in A Tertiary Care Hospital in Odisha

Background: Urinary tract infection (UTI) is among furthermost spreaded contagion in entire world. Organisms responsible for the infection are varying in their susceptibility pattern in different places and becoming resistant to commonly used antibiotics. Aim: Objective of study was to determine the etiology of community acquired UTI and to determine their antimicrobial susceptibility pattern. Methods and materials: Samples of urine were collected from 120 patients having a clinical diagnosis of UTI. Isolates were recognized by standard biochemical reactions and the antimicrobial susceptibility testing took place by using Kirby Bauer's disc diffusion method. Results: Out of the total sample 65% patients had a positive urine culture. Escherichia coli (42.3%) was most general Gram-negative microorganism & Staphylococcus spp. (15.38%) was most common Gram-positive microorganism. In gram-negative bacilli greater resistance was detected against Amoxyclav and Cephalosporins. Discussion and Conclusion: Study establish that E. coli was the major bacteria causing community acquired UTI in eastern part of Odisha, India. This study verified on growing resistance to Cephalosporins and Amoxyclav among UTI pathogens in the community.
Electric studies on polyvinyl alcohol with additions of magnesium sulfate

Polyvinyl alcohol (PVA; molecular weight 17,000 g/mol) with additions of several different amounts of magnesium sulfate (molecular weight 246.945 g/mol) was prepared by the casting technique. The dc electric properties of these films were measured in different temperature ranges and the activation energy values as a function of different magnesium sulfate amounts were calculated. The dependency of dc electrical conductivity σdc at a certain temperature was found to fit the well-known equation σdc = [(1/R) × (t/A)] (Ω−1 m−1). The temperature dependency of σdc, which suggested an electronic hopping conduction mechanism in a thermally assisted electric field, in addition to some theoretical mechanism were discussed. Also the values of activation energy as a function of different amounts of magnesium sulfate were investigated and it was found that the activation energy values for most samples increase with increased amounts of magnesium sulfate. On the other hand, the nonlinear coefficient parameter as a function of the different amounts of magnesium sulfate was investigated for all the prepared samples. © 2004 Wiley Periodicals, Inc. J Appl Polym Sci 91: 3167–3173, 2004