Miracle-dz/UniFAR-FTUs huggingface dataset:
A Study of E-Banking Security Measures Adopted by the Indian Public Sector Banks with an Outlook For Globalization

Nowadays e-banking services that take place through virtual and public channels play special role in the life of people around the world. Therefore, lack of security on performance of national and international banks in the context of globalization and distrust of people to these services will lead to undesirable effects. Hence, security is one of the most important elements that will affect banking transactions and its shortage prevents the development of business. For the same reason, the need for information security is determined in the banking system. Accordingly, several factors in art infrastructural facilities (AIF) area and operational risk management (ORM) area are considerable which are presented as research variables. The results suggest that in order to provide more security in e-banking transactions, banks have to create security policies such as internet security. In addition, they need to strengthen infrastructural factors in the fields like getting access to other banks, quality of infrastructure, and reserve bank of India (RBI) activity for e-banking supported systems.
THE PERCEPTION OF ACCOUNTANTS ON IFRS ADOPTION: EVIDENCE FROM LIBYA

International Financial Reporting Standards (IFRS) is being adopted by many countries in the world. The purpose of this study is to examine factors that affect an adoption of IFRS in Libya from the perception of Libyan companies’ accountants. This study has been conducted using a survey of 288 distributed questionnaires in 2015. The questionnaires have been distributed to Libyan companies’ accountants. The results reveal that professional bodies and government policy positively significant to an adoption of IFRS in Libya. However, capital market and education level are not significant to the adoption of IFRS in Libya.
Leptin and Animal Communication – 1 Leptinergic Regulation of Vertebrate Communication Signals

Animal communication signals are regulated by multiple hormonal axes that ensure appropriate signal targeting, timing, and information content. The regulatory roles of steroid hormones and many peptide hormones are well understood and documented across a wide range of vertebrate taxa. Two recent studies have reported a novel function for leptin, a peptide hormone central to energy balance regulation: regulating communication signals of weakly electric fish and singing mice. With only limited evidence available at this time, a key question is just how widespread leptinergic regulation of communication signals is within and across taxa. A second important question is what features of communication signals are subject to leptinergic regulation. Here we consider the functional significance of leptinergic regulation of animal communication signals in the context of both direct and indirect signal metabolic costs. Direct costs arise from metabolic investment in signal production, while indirect costs arise from the predation and social conflict consequences of the signal’s information content. We propose a preliminary conceptual framework for predicting which species will exhibit leptinergic regulation of their communication signals and which signal features leptin will regulate. This framework suggests a number of directly testable predictions within and across taxa. Accounting for additional factors such as life history and reproductive strategies will likely require modification or elaboration of this model. Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 5 April 2021 doi:10.20944/preprints202104.0109. v1
Hydraulic Conductivity Prediction Models,As Employed In Unsaturated Flow Simulations

In order to simulate unsaturated flow it is necessary to know: (a) the unsaturated hydraulic conductivity K as a function of the soil water pressure head h or of the water content 6 and (b) the soil moisture retention curve 6(h). For this purpose hydraulic conductivity models have been developed for the prediction of K(6 ) on the basis of 6(h). The analytical expression of the d(h) curve contains fitting parameters, as well as the so-called residual and saturated water contents, denoted as Qj. and 6$ respectively. Van Genuchten' s twoand three-parameter closed form analytical models are widely used both for 6(h) and for the prediction of K(d). Another hydraulic conductivity prediction model was formulated by Jackson in the past, but it is presently not preferred, mainly because of its tabular and not analytical form. However, its sensitivity behaviour warrants reconsideration. A sensitivity analysis is carried out, after dealing with particular problems that are due to the discrete character of the model. The perturbed parameters are 0,. and 0^. It turns out that, in relation to the uncertainties of these parameters, Jackson's model presents a more favourable sensitivity behaviour in comparison to the van Genuchten model, especially in the independent parameter case. Suitable selected soil water movement simulations are given, which demonstrate the impact of the sensitivity behaviour. The results of this study suggest a more frequent employment of Jackson's model.
A Randomized Sampling Algorithm based on Triangle for Community Extraction in Graphs

—The techniques of sampling play a vital role in extracting communities from graphs. Most of sampling algoritms mainly take the advantage of the degree distribution or the weight of edge. However, it may lead to huge consumption of memory usage and computation time because of the complicated structure of graphs and the noise inherent of algorithm. We propose a novel randomized sampling algorithm, which is a triangle-based sampling algorithm. A random value R v colors each node uniformly. The edge e ij = ( v i , v j ) is a monochromatic edge if node v i and v j receive the same random value R v . The third edge of triangle ∆ T will be sampled if two edges of the triangle ∆ T are sampled. The triangle ∆ T that formed by three monochromatic edges is considered as the smallest sampling unit in graph G . An extracted community contains at least one triangle. Overviewing, experimental results demonstrate that the proposed algorithm extracts sufﬁciently dense subgraphs and signiﬁcantly reduces computation time compared to the reservior sampling algorithm and graph priority sampling algorithm.
Estimating Mass Distribution of Articulated Objects using Non-prehensile Manipulation

: We explore the problem of estimating the mass distribution of an articulated object by an interactive robotic agent. Our method predicts the mass distribution of an object by using limited sensing and actuating capabilities of a robotic agent that is interacting with the object. We are inspired by the role of exploratory play in human infants. We take the combined approach of supervised and reinforcement learning to train an agent that learns to strategically interact with the object to estimate the object’s mass distribution. Our method consists of two neural networks: (i) the policy network which decides how to interact with the object, and (ii) the predictor network that estimates the mass distribution given a history of observations and interactions. Using our method, we train a robotic arm to estimate the mass distribution of an object with moving parts (e.g. an articulated rigid body system) by pushing it on a surface with unknown friction properties. We also demonstrate how our training from simulations can be transferred to real hardware using a small amount of real-world data for ﬁne-tuning. We use a UR10 robot to interact with 3D printed articulated chains with varying mass distributions and show that our method signiﬁcantly outperforms the baseline system that uses random pushes to interact with the object. Video at https://youtu.be/o3zBdVWvWZw
Postinflationary vacuum instability and Higgs-inflaton couplings

The Higgs-inflaton coupling plays an important role in the Higgs field dynamics in the early Universe. Even a tiny coupling generated at loop level can have a dramatic effect on the fate of the electroweak vacuum. Such Higgs-inflaton interaction is present both at the trilinear and quartic levels in realistic reheating models. In this work, we examine the Higgs dynamics during the preheating epoch, focusing on the effects of the parametric and tachyonic resonances. We use lattice simulations and other numerical tools in our studies. We find that the resonances can induce large fluctuations of the Higgs field which destabilize the electroweak vacuum. Our considerations thus provide an upper bound on quartic and trilinear interactions between the Higgs and the inflaton. We conclude that there exists a favorable range of the couplings within which the Higgs field is stabilized during both inflation and preheating epochs.
Data-driven operations and supply chain management: established research clusters from 2000 to early 2020

ABSTRACT Despite the long-recognised importance of data-driven operations and supply chain management (OSCM) scholarship and practice, and the impressive development of big data analytics (BDA), research finds that firms struggle with BDA adoption, which suggests the existence of gaps in the literature. Therefore, we conduct this systematic literature review of journal articles on data-driven OSCM from 2000 to early 2020 to ascertain established research clusters and literature lacunae. Using co-citation analysis software and double-checking the results with factor analysis and multidimensional-scaling-based k-means clustering, we find six clusters of studies on data-driven OSCM, whose primary topics are identified by keyword co-occurrence analysis. Five of these clusters relate directly to manufacturing, which, in line with the existing literature, indicates the crucial role of production in OSCM. We highlight the evolution of these research clusters and propose how the literature on data-driven OSCM can support BDA in OSCM. We synthesise what has been studied in the literature as points of reference for practitioners and researchers and identify what necessitates further exploration. In addition to the insights contributed to the literature, our study is amongst the first efforts to deploy multiple clustering techniques to undertake a rigorous data-driven systematic literature review (SLR) of data-driven OSCM.
Quantitative assessment of chilling injury in bananas using a colorimeter

SummaryCavendish bananas were stored at 8°, 11° and 14°C for 16 d to compare the assessment of chilling injury by visual scoring or by Minolta colorimeter using measurements of lightness (L*), chroma (C*) and hue (h°). Severe chilling damage, which turns the ripe peel grey/black, was associated with fruits stored at 8°C, and this damage was detected by both scoring and by the use of the colorimeter, even when fruits were green. Apart from the absence of glossy yellow appearance of the ripe fruits, no visual chilling damage was observed when fruits were stored at 11°C. In contrast, the colour components of L* and C* were successfully used to detect chilling injury at the green stage, which resulted in loss of gloss on ripe fruit following storage at 11°C. No significant difference in linear regression between temperature and h° indicates that h° is not a suitable measure of chilling damage. The highest correlation coefficient between the visual scoring of chilling damage and a colorimeter value was for C* .
Cellular Effects of Wound Fluid (Seroma) from Tumor Bed on Human Breast Cancer Cell Lines

Introduction: Post-lumpectomy wound fluid (seroma) contains many proteins from tumor bed due to physiologic answer to operation and wound healing process. Some cellular tests had been performed on different types of breast cancer (BC) cell lines and normal cell line while treated with seroma. Materials and Methods: The wound fluid samples were collected from BC patients. The human BC cell lines included MCF-7, MDA-MB-231 as well as normal non-tumorigenic epithelial cell line (MCF-10). Results: Seroma could inhibit various cancer cells proliferation pattern in comparison with the normal cell. Concerning the cell death, aggressive MDA-MB-231 cells were put into the apoptosis process. Besides, seroma could decrease colony count and size and changed the clone morphology from holoclone to paraclone. Regarding the invasion assay, seroma significantly inhibited cell motility. Conclusion: By remaining in tumor bed, seroma can induce inhibitory pattern of proliferation, and change the morphology of cancer cell colony and cell motility, consequently leading to positive impact on patients who suffer from cancer.
Viewport Adaptive Streaming for Omnidirectional Video Delivery

— In this paper, the offset cubemap projection (OCM) – a VAS strategy developed by Facebook’s Oculus – is optimized to provide an enhanced omnidirectional video VAS. The OCM projection allows higher spatial resolution (thus, higher quality) around a predefined direction of the omnidirectional video – the offset orientation – by distorting spherical angles. The Oculus implementation of the OCM streaming considers a fix offset magnitude of 0.7, which was proven (in this paper) to not provide the best viewport quality. 11 offset values were objectively evaluated using three omnidirectional videos, having distinct spatial-temporal activities. The best offset magnitude value was found to be 0.42, allowing quality gains (measured using the V-PSNR metric) of up to 2.3 dB, relatively to an offset magnitude of 0.7. The assessment of the optimized OCM projection, for VAS, was then conducted considering several state-of-the-art streaming strategies as benchmarks; these were of two types: the monolithic or conventional strategies and tiles-based strategies. Results for static viewports showed the potential of OCM based video streaming, either when the requested (to the server) viewport center orientation matched the viewing direction, either when an error of up to 20° between these two directions was introduced. Using recorded head trajectories from real users, the OCM based streaming provided better viewport quality than the conventional streaming, and competed with the considered tiled based streaming strategies.
ST ] 1 A pr 2 02 1 INVARIANT THEORY AND SCALING ALGORITHMS FOR MAXIMUM LIKELIHOOD ESTIMATION

We uncover connections between maximum likelihood estimation in statistics and norm minimization over a group orbit in invariant theory. We focus on Gaussian transformation families, which include matrix normal models and Gaussian graphical models given by transitive directed acyclic graphs. We use stability under group actions to characterize boundedness of the likelihood, and existence and uniqueness of the maximum likelihood estimate. Our approach reveals promising consequences of the interplay between invariant theory and statistics. In particular, existing scaling algorithms from statistics can be used in invariant theory, and vice versa.
ITER AND FUSION REACTOR ASPECTS

The experimental study of castellated target erosion under relevant to ITER ELMs surface heat load (i.e., energy density and the pulse duration as well as particle loads) was performed in QSPA Kh-50 quasi-stationary plasma accelerator. The damage of surface, mechanisms of solid/liquid particle ejection for different parts of castellated targets exposed to QSPA plasma streams has been studied in the course of increasing number of pulses. It is shown that melt dynamics at the structure edges, droplet splashing and molten bridges through the slits are determining processes in macroscopic erosion of castellated surface structures. PACS: 52.40. HF
Viral RNA load quantification as helpful tool to arbitrate SARS–CoV-2 detection results in respiratory samples

Purpose: The increasing COVID-19 widespread has created the necessity to assess the diagnostic accuracy of newly introduced (RT-PCR based) assays for SARS–CoV-2 RNA detection in respiratory tract samples.Methods: We compared the results of the Allplex™ 2019-nCoV assay with those of the Simplexa™ COVID-19 Direct assay, both performed on 125 nasal/oropharyngeal swab samples of patients with COVID-19 suspicion.Results: Fifty-four samples tested positive (CT below 40) and 71 negative (CT above 40) with the Allplex™ 2019-nCoV assay, whereas 47 of 54 samples were also positive with the Simplexa™ COVID-19 Direct assay. Eight results were discordant, resulting in 93.6% agreement between the assays. We used the Quanty COVID-19 assay—developed to detect and quantify SARS–CoV-2 in respiratory tract samples—to arbitrate these results. One Allplex™ 2019-nCoV negative (but Simplexa™ COVID-19 positive) and seven Simplexa™ COVID-19 negative samples were truly false negative. Interestingly, a Spearman’s negative association was found between the viral RNA loads quantified by the Quanty COVID-19 assay and the CT values of RT PCRs performed with either the Allplex™ 2019–nCoV assay or the Simplexa™ COVID-19 Direct assay. However, the strength of this association was higher for the Allplex™ 2019–nCoV assay (N gene, ρ = −0.92; RdRP gene, ρ = −0.91) than for the Simplexa™ COVID-19 Direct assay (ORF1ab gene, ρ = −0.65; S gene, ρ = −0.80). Conclusion: The Allplex™ 2019–nCoV and Simplexa™ COVID-19 Direct assays yielded comparable results. However, the role these assays might play in future clinical practice warrants larger comparison studies.
Implementation of Safety Survilliance System with Face Recognition using IoT

-: In recent times, the importance of automated self-intelligent systems has been proven to be very effective in applications like private security and surveillance. This research article aims to provide safety surveillance with the aid of facial recognition technology and the Internet of Things. The hardware and software requirements include an open source technology which comprises of LBPH algorithm, SMTP, Raspberry pi 3, pi camera. The utilization applications are intended to be at local levels like homes, offices and campuses. The proposed system provides real time face detection and recognition. The captured image is analyzed using LBPH algorithm with the available database and if it is a match, the individual is granted access. On the other hand, if the face does not match anything in the database, the captured image is then sent to the user mail using SMTP. A SMS is also sent to the registered number to make sure the house owner gets the alert. The system then waits for the response from the user for a stipulated time. The message is retrieved on Raspberry pi using IMAP. Based on the retrieved message, access is either granted or denied.
Design and Validation of a Novel Exoskeleton Hand Interface: The Eminence Grip

How best to attach exoskeletons to human limbs is an open and understudied problem. In the case of upperbody exoskeletons, cylindrical handles are commonly used attachments due to ease of use and cost effectiveness. However, handles require active grip strength from the user and may result in undesirable flexion synergy stimulation, thus limiting the robot’s effectiveness. This paper presents a new design, the Eminence Grip, for attaching an exoskeleton to the hand while avoiding the undesirable consequences of using a handle. The ergonomic design uses inverse impedance matching and does not require active effort from the user to remain interfaced with the exoskeleton. We compare the performance of the Eminence Grip to the handle design in a healthy subject target reaching experiment. The results show that the Eminence Grip achieves similar performance to a handle in terms of relative motion between the user and the exoskeleton while eliminating the requirement of grip force to transfer loads to/from the exoskeleton and avoiding stimulation of the flexion synergy. Taken together, the kinematic equivalence and improvement in ergonomics suggest that the Eminence Grip is a promising exoskeleton-hand attachment interface supporting further experiments with impaired populations.
Protocol for Systematic Review and Meta-Analysis on Randomized Clinical Trials on the Efficacy and Safety of Pitavastatin

Background: Pitavastatin is a novel statin that possesses some advantages over conventional statin. Aim of the review: The subjects with primary or secondary cardiac events (population) receiving pitavastatin (intervention) will be compared to placebo or other statin members (comparators), for the non-inferiority or superiority in terms of effects on low-density lipoprotein-cholesterol (LDL-C), high-density lipoprotein-cholesterol (HDL-C), and/or major cardiac events (outcome). Methods: The protocol has been developed based on the PRISMA-P checklist by using (PICO [population, intervention, comparators, and outcome]) items, for adult subjects who have received pitavastatin in randomized clinical trials. We will search for databases such as Google Scholar, PubMed, and the Cochrane using specific MESH terms. The RevMan will be used to quantify the synthesis of data (I2 index, tau squared, and the Q-test P-value) for studies heterogeneity. Results: Our current systematic review will provide highly relevant findings about the role of pitavastatin in the primary and secondary prevention of CVDs compared to the other statin. This will permit the prescribers to make informed decisions about the most efficacious and safest statin for their clients. The current study findings will contribute to inform evidence-based clinical practices and guidelines for policies and planning prevention strategies. The work will provide evidence by synthesis of well-designed and robust RCT-s conducted on one of the most efficacious and safest statins. Conclusion: The current protocol will report the difference in efficacy of pitavastatin (intervention) compared to placebo or other statin members (comparators). Moreover, the protocol will assess the difference on the safety profile between the intervention and the comparators.
CSR and Theories of Global Governance: Strategic Contestation in Global Issue Arenas

Strategic Contestation in Global Issue Arenas David L. Levy Professor Department of Management University of Massachusetts, Boston David.levy@umb.edu Rami Kaplan Ph.D. Candidate Department of Sociology and Anthropology Tel Aviv University kaplanr@post.tau. ac.il Forthcoming in: Andrew Crane, Abagail McWilliams, Dirk Matten, Jeremy Moon and Donald Siegel (editors) The Oxford Handbook of CSR (2007). Oxford University Press
The Static City? Amsterdam 1832-2015

Inner city redevelopment frequently involves the combination of lots, but the existing literature analyzes redevelopment on a single-lot basis only. The key contribution of our paper is that it explicitly investigates the structural and social determinants of multilot developments. We show that the additional coordination and transactions costs resulting from joint lot development influence the exercise of the redevelopment option. We first estimate a logit model that aims to predict joint lot redevelopment, based on structural characteristics of dwellings and social characteristics of their owners, using Amsterdam housing information for 1832, 1860 and 2015. In all, we have a complete set of structural and household characteristics for the universe of dwellings in Amsterdam in these years. Our model can explain 59 percent of redevelopment activity between 1832 and 1860, with a significant influence of the social factors beside the structural ones. Moreover, using only information from 1832, the model explains up to 27 percent of the redevelopment activity for the subsequent 183 years. A subsequent spatial hedonic pricing model estimates marginal prices for the structural characteristics associated with the real option to jointly redevelop. Acknowledgements We thank seminar participants from the Free University Amsterdam and from the University of Cambridge for their useful comments, and we thank the Dutch Association of Realtors (NVM) and HISGIS / Fryske Academy for generously giving us access to their data. Matthijs Korevaar has provided valuable research assistance.