Miracle-dz/UniFAR-FTUs huggingface dataset:
Antioxidant Activity of Different Extracts of Valeriana hardwickii

International Journal of Pharmaceutical Sciences Review and Research Available online at www.globalresearchonline. net 297 Sajad Yousuf, R.K. Bachheti, Archana Joshi, Abhishek Mathur Department of Chemistry, Graphic Era University, Dehradun, U.K. College of Natural and Computational Science, Haramaya University, Ethiopia. Department of Research and Development, Institute of Transgene Life Sciences, Dehradun, U.K. *Corresponding author’s E-mail: sajid_paray@yahoo.co.in
Exploiting Parallel Audio Recordings to Enforce Device Invariance in CNN-based Acoustic Scene Classification

Distribution mismatches between the data seen at training and at application time remain a major challenge in all application areas of machine learning. We study this problem in the context of machine listening (Task 1b of the DCASE 2019 Challenge). We propose a novel approach to learn domain-invariant classifiers in an end-to-end fashion by enforcing equal hidden layer representations for domain-parallel samples, i.e. time-aligned recordings from different recording devices. No classification labels are needed for our domain adaptation (DA) method, which makes the data collection process cheaper.
The development of a biometric keystroke authentication framework to enhance system security

Computer systems have proven to be essential to achieving our daily tasks such as managing our banking accounts, managing our health information and managing critical information systems such as drinking water systems or nuclear power plant systems. Such distributed systems are networked and must be protected against cyber threats. This research presents the design and implementation of a stand alone web based biometric keystroke authentication framework that creates a user’s keystroke typing profile and use it as a second form of authentication. Several biometric models were then bench marked for their accuracy by computing their EER. By using keystroke biometrics as a second form of authentication the overall system’s security is enhanced without the need of extra peripheral devices and without interrupting a user’s work-flow.
re judgments of semantic relatedness systematically impaired in lzheimer ’ s disease ?

We employed a triadic comparison task in patients with Alzheimer’s disease (AD) and healthy controls to contrast (a) multidimensional scaling (MDS) and accuracy-based assessments of semantic memory, and (b) degraded-store versus degraded-access accounts of semantic impairment in Alzheimer’s disease (AD). Similar to other studies using triadic comparison tasks, participants were asked to indicate which two out of three words (animal names) were most similar in meaning. Novel to this investigation, we contrasted performance on two semantic dimensions of strong and equal saliency to controls, but varying in their specificity (land/water versus bird/non-bird). Degraded-store accounts predict that the more specific bird/non-bird dimension should be more consistently impaired in AD, whereas degraded-access accounts predict that both dimensions, because they are equally salient, should be equivalently impaired in the disorder. The MDS results suggested that both patient and control group responses were not discriminable lzheimer’s disease from random responding, consistent with previous studies. By contrast an accuracy-based analysis on the same data showed that controls showed good knowledge of both salient dimensions, and were evenly split in their individual preference for one dimension over another. In contrast, patients showed higher accuracy and sensitivity to the broader land/water dimension than to the more specific bird/non-bird dimension, consistent with a storage-based account of the semantic impairment in AD. Our results further ds ca group suggest that MDS metho both patient and control
Export Diversification and Economic Growth in Nigeria

The issue of export diversification has been contentious in Nigeria due to the country’s unstable growth pattern which is majorly associated with instability in the international oil market and the poor performance of other sectors of the economy. Therefore, this study examines the link between export diversification and economic growth in Nigeria from 1962 to 2016. The study utilizes the Auto-regressive Distributed Lag (ARDL) technique. The result of this study shows that export diversification has a positive but insignificant influence on economic growth in Nigeria. The above result implies that the oil sector still dominates the Nigerian economy while the diversification drive of the government has not been significant in other sectors of the economy. Thus, the study recommends the need for conscious economic policies that would promote the diversification of the entire non-oil sector of the economy. The study concludes that export diversification is an insignificant determinant of economic growth in Nigeria.
Beyond Carbon Leakage: Off-Shoring of Employment and GDP in Decarbonizing International Supply Chains

Introduction Industrial decarbonisation is a major challenge in terms of both emissions reduction and the â€ ̃just transitionâ€TM element of the 2015 Paris Agreement. It raises issues of potential carbon leakage and associated off-shoring of jobs and economic value if carbon reduction policies impact the location decisions of industry. We use IO multipliers to help quantify the extent of these potential displacement effects. Focussing on cement production as a particular decarbonisation challenge, we consider the following research question: how might displacement of currently EU-based production activity impact jobs, GDP and CO2 emissions at national and global levels? We propose that economic multiplier metrics can help quantify the extent of these potential displacement effects. Using interregional input out methods, applied using the World Input-Output Database, we focus on cement production as a particular decarbonisation challenge, to consider the potential impacts of displacing currently EU-based production activity to other countries.
Broad-Coverage Semantic Parsing as Transduction

We unify different broad-coverage semantic parsing tasks into a transduction parsing paradigm, and propose an attention-based neural transducer that incrementally builds meaning representation via a sequence of semantic relations. By leveraging multiple attention mechanisms, the neural transducer can be effectively trained without relying on a pre-trained aligner. Experiments separately conducted on three broad-coverage semantic parsing tasks – AMR, SDP and UCCA – demonstrate that our attention-based neural transducer improves the state of the art on both AMR and UCCA, and is competitive with the state of the art on SDP.
THE ROLE OF FAS WITH FAS LIGAND INTERACTION IN HERPETIC STROMAL KERATITIS ( HSK ) by Hamideh Zakeri

Herpes Simplex Virus (HSV)-induced herpetic stromal keratitis (HSK) is a leading cause of infectious blindness world wide. The pathogenesis of this disease involves an inflammatory attack in the cornea following infection or reactivation of HSV-1. Previous studies have shown that the apoptotic molecule Fas ligand (FasL) is very important in controlling inflammatory responses that occur in the cornea. Consequently we decided to investigate the role that Fas, the receptor for FasL, and FasL play during HSK. To that end, previous studies done by others in the lab have shown that mice which do not express the Fas antigen (lpr) have particularly enhanced HSK. The focus of this project was to determine whether the lack of functional Fas expression by lymphoid cells was responsible for the disease phenotype seen in lpr mice. In order to investigate this we created bone marrow chimeras between BALB/c and BALB-lpr mice which were subsequently infected with HSV-1. Our results indicate that irradiated BALB/c mice reconstituted with BALB-lpr bone marrow had significantly worse corneal disease than did irradiated BALB-lpr mice reconstituted with BALB/c bone marrow as evident by increased opacity, neovascularization and blepharitis scores in these mice. Thus our data confirm the hypothesis that FasL controls the entry of Fas-expressing inflammatory cells during acute HSK.
Supercondutores de múltiplas bandas frustrados Frustrated Multiband Superconductors

Motivated by the recent discovery of iron-based superconductors, having high critical temperatures and multiple bands crossing the Fermi level, this dissertation aims to study the conditions under which frustrated configurations in the superconducting phases can be present, as a function of the variables temperature and externally applied magnetic field. The interplay between interband and intraband attractive/repulsive interactions is analysed, with the magnetic field vs. temperature phase diagram being presented for the weakly interband coupling regime.
Discovering determinants of trade credit demand: Evidence from top managers insight

Abstract In resources consumption management, determining the volume of trade credit demand (TCD) is the main concern for financial managers. Despite the importance of TCD, it is not well explored in developing countries. Therefore, this paper investigates the internal and external factors affecting the amount of TCD. Qualitative research method and questionnaire were used to collect opinions of top managers about the factors determining the volume of TCD. SPSS and AMOS statistical tools were used to analyze the quantitative data collected from the questionnaire. Based on the results, internal factors such as available collaterals, inventory turnover, reorder point, and payable payment period affect the volume of TCD. Furthermore, external factors such as banks availability, customer monopoly, and living in metropolitans affect the volume of TCD.
Retraction Retracted : Sparsity Based Locality-Sensitive Discriminative Dictionary Learning for Video Semantic Analysis Mathematical Problems in Engineering

At the request of the authors, the article titled “Sparsity Based Locality-Sensitive Discriminative Dictionary Learning for Video Semantic Analysis” [1] has been retracted. e article was previously published as “Benuwa, BB. , Zhan, Y. , Liu, J. et al. Multimed Tools Appl (2018). https://doi.org/10.1007/s11042-018-6417-3. ” ough the two articles differ comparatively in baseline approaches and experimental outcomes, they both have the same methodological approach or formulations (i.e., sparse based locality-sensitive discriminative learning technique) for video semantic analysis. e authors are improving on the article with kernel learning. e publisher apologizes that a request from one of the coauthors to withdraw the article while it was in production was not acted upon.
Running head : KICKING PERFORMANCE IN YOUTH SOCCER Kicking Performance in Young U 9 to U 20 Soccer Players : Assessment of Velocity and Accuracy Simultaneously

Purpose: To compare the kicking performance in young soccer players of U9 to U20 age-groups. Method: Three hundred and sixty-six Brazilian players were evaluated on an official pitch, using 3-D kinematics to measure (300 Hz) ball velocity (Vball), foot velocity (Vfoot), Vball/Vfoot ratio, last stride length, and distance between support foot and ball. Simultaneously, a 2-D procedure was also conducted to compute (60 Hz) the mean radial error, bivariate variable error, and accuracy. The possible age-related differences were assessed through 1-way ANOVA and magnitude-based inferences. Results: Ball velocity increased 103% (p < 0.001; η2 = 0.39) from the U11 (48.54±8.31 km/h) to U20 (98.74±16.35 km/h). Foot velocity presented a 59% increase (p < 0.001; η2 = 0.32) from the U11 (49.08±5.16 km/h) to U20 (78.24±9.49 km/h). This was due to improvement in the quality of foot-ball impact (Vball/Vfoot ratio) from U11 (0.99±0.13 a.u.) to U20 (1.26±0.11 a.u.; p < 0.001; η2 = 0.25). Parameters such as mean radial error and accuracy appear to be impaired during the growth spurt (U13–U15). The last stride length is correlated, low to moderately high, with the ball velocity in all age-groups (r = .36–.79). Conclusions: In summary, we conclude that simple Biomechanical parameters of kicking performance present distinct development. These results suggest that different training strategies specific for each age-group could be applied. We provide predictive equations in order to aid coaches in the long-term monitoring process to develop the kick in soccer or search for talented young players.
Discursive-Pragmatic Modeling of the Language Image

The paper considers the problems of language modeling of the image of the world, allowing to recreate the basic concepts, topics of reality they represent. A special place is occupied among them by the modeling of the subjective image of a charismatic personality, which in one way or another personifies the life-sense of his era (Peter I, mother Theresa, Iron Lady, Theresa May, etc.). The focus is on the spiritual, physical and ideological modi of the created language image, its suggestive interaction and the development of society. The peculiarity of the linguistic image is that the person is synergistically recreated, he is not outside of the subjective attitude of the author of the text, whether it is mass media or artistic and historical texts. Though subjective, the linguistic image is created through the speech interpretation of realities. The linguistic image embodies the real world with the help of semantic dynamics of words, representing ideologemes, culturemes and concepts as cognitive-discursive constructs of a socially significant event.
How Political Systems and Social Welfare Policies Affect Well-being

This chapter focusses on the question of how formal institutions, like those governing the level of freedom and the generosity of the welfare state, affect self-reported well-being. The evidence suggests, for example, that more freedom, as well as government structures which encourage civic engagement, participation and trust, have positive effects. Many studies, however, use cross-sectional data with small sample sizes, often due to institutions being measured at the country level with limited variation over time. As a consequence, further work is needed to test robustness. Stronger results hold with respect to particular types of welfare state institutions, like unemployment benefits, which are subject to quite frequent changes within nations. Increases in unemployment benefits are associated with higher levels of well-being for all workers, probably due to greater income security. However, doubt still persists as to their overall impact, due to the extent to which well-being is adversely affected by the higher taxes needed to support a more generous welfare state.
N ov 2 00 1 Quantum Lower Bound for the Collision Problem

The collision problem is to decide whether a function X : {1, . , n} → {1, . , n} is one-to-one or two-to-one, given that one of these is the case. We show a lower bound of Ω ( n ) on the number of queries needed by a quantum computer to solve this problem with bounded error probability. The best known upper bound is O ( n ) , but obtaining any lower bound better than Ω (1) was an open problem since 1997. Our proof uses the polynomial method augmented by some new ideas. We also give a lower bound of Ω ( n ) for the problem of deciding whether two sets are equal or disjoint on a constant fraction of elements. Finally we give implications of these results for quantum complexity theory.
Active tectonics of plate boundary zones and the continuity of plate boundary deformation from Asia to North America

Pervasive fragmentation of continental lithosphere at plate boundaries is the rule, not the exception. However, over most of the plate boundary zones of Asia and western North America, crustal motions observed by geodesy can be described well by models that use a number of rigid plates or blocks, bounded by faults that are presumed to cut the entire lithosphere. Only a few areas, mostly in the Tibetan Plateau, may be exceptions to this rule because they display a more continuum-like deformation pattern. This might result from deformation that is distributed broadly at depth, even if it is mainly localized at the surface. The lithosphere of deforming Asia and North America is fragmented into several large rigid or very slowly straining regions, most likely small plates within the plate boundary zone. Most of these small plates move slowly, making the definition of the plates and their boundaries sometimes controversial. The plate boundary zones of Asia and North America are connected as part of a broad band of distributed deformation that marks the entire northern Pacific Rim. Distributed deformation is continuous or nearly so from Baja California around the north Pacific to Tibet, and beyond. Study of plate boundary zones is complicated by temporal variations in deformation. Despite the time dependence implied by postseismic deformation models, the concept of an interseismic period dominated by steady deformation with time appears to remain valid. Development of an earthquake cycle model that explains both preand post-earthquake observations remains an area of active research. In addition, there is some evidence for changes in fault slip rates over time, particularly when pairs of faults within a small area show coupled behaviour.
Conformational dynamics of ̨ ‐conotoxin PnIB in complex solvent systems

Cone snails are slow-moving animals that secure survival by injecting to their prey a concoction of highly potent and stable neurotoxic peptides called conotoxins. These small toxins (~ 10–30 AA) interact with ion channels and their diverse structures account for various variables such as the environment and the prey of preference. This study probed the conformational space of α-conotoxin PnIB from Conus pennaceus by performing all-atom molecular dynamics simulations on the conotoxin in complex solvent systems of water and octanol. Secondary structure analyses showed a uniform conformation for the pure (C100Oc, C100W) and minute (C95Oc, C5Oc) systems. In C50Oc, however, structural changes were observed. The original helices were converted to turns and were shown to happen simultaneously with the elongation of the helix and shortening of end-to-end distance. The transitions complement the orientation of the peptide at the interface. The shift to the broken helix conformation is marked by the rearrangement of solvent molecules to a framework that favors the accumulation of water molecules at residues 6–11 of the H2 region. This promotes specific protein–solvent interactions that facilitate secondary structure transitions. As PnIB has shown favorable binding toward neuronal nicotinic acetylcholine receptors, this study may provide insights on this conotoxin’s therapeutic potential.
The relationship between the quality of CSR reporting and Firm Value-The mediation role of Analysts Evidence from the Netherlands

This thesis examines the relationship between the quality of CSR reporting and firm value with incorporating the mediation role of analysts. A panel dataset is composed from Dutch listed firms during the time period 2013-2017, which resulted in a total of 200 observations. The results show mixed and non-significant relationships between CSR reporting quality and firm value; therefore the mediation role of analyst cannot be supported by the results. However, the effect of CSR reporting quality on analyst recommendations and the effect of the analyst recommendations on firm value were significant. And when the analyst recommendation was added to the relationship between CSR reporting quality and firm value, the effect of CSR reporting quality on firm value mainly decreased. This means that only the direct and significant effect between CSR reporting quality and firm value to satisfy the mediation role of analysts lacks. The results stress the importance of the quality of CSR reporting towards firms, because the quality of the CSR reports plays a significant role in the stock recommendations of analysts to investors. This could be valuable to the managers of the firms, because the analyst recommendations significantly affect the firm value.
User ’ s Hobby Estimation Based on Sequential Statements Using Deep Neural Networks

With more and more frequency, users communicate with each other on social media. Many users start on Twitter or Facebook to find friends who have the same hobby. Our study proposes a method to estimate the users’ interests (hobby) based on tweets on Twitter. One tweet does not, in and of itself, contain a lot of information, and some tweets are not related to the user’s hobby. Therefore, we propose a reliable hobby estimation method by extracting features from multiple, sequential tweets. The proposed method uses Recurrent Neural Networks (RNN) which can accommodate time-series information. We also used a Convolutional Neural Networks (CNN) which can treat contextual information. We used an averaged vector of word distributed representation as a feature. Using the proposed method based on Long Short-Term Memory Recurrent Neural Networks (LSTM-RNN), we obtained a 23.72% improvement as compared with a baseline method using a Random Forest (RF) regression as a machine learning algorithm.
Ey Competition à la Cournot with bounded rationality

Rules of thumb, deviations from the standard objective functions, or explicit cognitive bounds have been introduced in Industrial Organization to tackle irrationality. At the same time, a considerable literature has been extending level-k since Nagel (1995), but little has been done on its application outside experimental settings. To address this we define a model of boundedly rationality and we apply it to a Cournot competition game, finding that the accuracy of anticipation and the distribution of level 0 players’ action play a critical role in explaining which firms become larger in dynamic settings.