Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of The E-Commerce Companies Benevolence, Integrity and Competence Characteristics on Consumers Perceived Trust, Purchase Intention and Attitudinal Loyalty

The purpose of this study is to reveal the effect of consumer perceptions on the benevolence, integrity and competence of e-commerce companies on consumers’ perceived trust, purchase intention and attitudinal loyalty. The research data were collected by online survey method. The convenience sampling method was used in the study. The research was conducted between November 29 and December 29, 2019. As a result of the data collection process, 297 questionnaires were collected. The research model was tested with structural equation modeling by using Smart PLS. As a result of the research, significant effects of the integrity and competence characteristics of e-commerce companies on the perceived trust by the consumers was found. However, effect of the benevolence of e-commerce companies on the consumers’ perceived trust wasn’t found. As a result of the research, it was found that the perceived trust has significant effect on the purchase intention and the purchase intention has a significant effect on attitudinal loyalty. As a conclusion, e-commerce companies should improve benevolence, integrity and competence which are the antecedent variables affecting trust in order to increase the consumers’ perceived trust. As the perceived trust increases, the level of purchase and attitudinal loyalty of consumers will increase considerably.
Performance Evaluation of SDN Controllers: FloodLight, POX and NOX

 Abstract-Networking technologies achieved an enormous jump toward an appealing notion, known as software-defined networking (SDN). to the best of our knowledge, there has been no comprehensive compression discussion about floodlight, POX and NOX controller in the literature. the aim of this research is to evaluate different types of a controller according to various parameters such as average TCP/UDP throughput, average bandwidth, packet loss, latency, topology discovery time and prediction inspection. we did a series of simulation studies in the mininet framework. it was found that the floodlight controller shows best performance (throughput) in a tree topology with congestion window size 32 mb, and a poor performance in linear and custom topologies, this result motivates extra experiments to investigate floodlight, we test the controller with different congestion window sizes 2, 20 and 32 mb, best performance recorded for 2 mb window size in a linear topology. POX and NOX controllers record best throughput results than floodlight, in all topologies, especially POX controller which scored best throughput in a custom topology. in UDP bandwidth investigation POX and NOX performed better with higher bandwidth utilization, while floodlight shows modest performance in return. lost packet tests, reveal that the highest rate of lost packets was recorded by floodlight with a significant difference between all tested controllers. latency test concluded with performance capabilities for responding to messages_in, POX controller scored best result with highest response per milliseconds. topology discovery time results shows that floodlight controller is the fastest in all topologies, especially in tree topology. the prediction of controller succeeded with POX controller in a throughput test, which reflects stability in a controller performance, unlike latency prediction which failed against POX.
Time Series Forecasting Using Neural Networks

Artificial neural networks are a powerful machine learning technique that is used for several ends; time series forecasting is one of them. Several of these techniques are explored with special attention to recurrent neural networks, which are one of the methods most commonly used in time series forecasting. All these methods are presented with the goal of better understanding recurrent neural networks. There is no predefined better algorithm to solve this type of problems; in this field experimentation is required and only then we can draw conclusions. In this case, feedforward neural networks and recurrent neural networks will be used to obtain models capable of predicting time series. Two related data sets but with some important differences that will affect the results are used in these experimentations. The main objective is to compare the two types of networks on both data sets, presenting the limitations, drawbacks and advantages of each one of them. In most cases, recurrent neural networks outperform feedforward neural networks for time series forecasting problems.
The Effect of Environmental, Social and Governance Performance with Legal Institution on Earnings Management

ESG scores can measure sustainability reports consisting of environmental, social, and governance (ESG) activities. This paper examines the role of the legal institution, including law, rules, and disclosures. The performance of the sustainability report is related to earnings management practice. The results show that the increase of a sustainability report or ESG score will reduce earnings management using discretionary accrual calculation. However, the role of the legal institution does not affect the relationship between the sustainability of companies and earnings management. This paper uses data from 12 countries in Asia and Europe.
A comparative study to test the effectiveness of triclosan coated polyglactin 910 in reduction of surgical site infection in clean wounds

Background: Surgical site infection (SSI) has been pointed out as the 2nd most common nosocomial infection. Since suture materials have been proven to be a contributor to SSI, they have been the focus of research and development centered on making them less conducive to bacterial overgrowth. The Triclosan coated suture slowly releases Triclosan, which is an antibacterial agent that inhibits bacterial colonization of the suture and wound site and thus, promises prevention of surgical site infection.Methods: Total of 100 patients undergoing excision of uninfected subcutaneous benign lumps and cutaneous swellings were randomized in two groups: group A in which triclosan coated polyglactin 910 suture was used for wound closure (50 patients) and Group B in whom conventional uncoated Polyglactin 910 suture was used for wound closure (50 patients). Results: In this study, maximum number of patients was in the age group of 46-60 years. Mean age of subjects in triclosan- coated suture group was 45.03 years while it was 47.32 in conventional uncoated suture group. Among 100 subjects in triclosan- coated suture group, 26 (52%) were males and 24 (48%) were females. In comparison to it, male and female subjects in conventional uncoated suture group were 25 (50%) each. Among 50 subjects in triclosan- coated suture group, only 2 (4.0%) had surgical site infection while in conventional uncoated suture group, 8 (16.0%) had surgical site infection. Incidence of surgical site infection with use of triclosan- coated suture was significantly lower compared to conventional uncoated suture group. (p 0.04). Conclusions: Triclosan coated suture surely, helps in preventing surgical site infection which, not only increases the morbidity of the patient but also has long-term implications.
ROLE OF PESTICIDES IN WATER POLLUTION

The pesticides have a place with a category of chemicals utilized worldwide as herbicides, bug sprays, fungicides, rodenticides, molluscicides, nematicides, and plant development regulators keeping in mind the end goal to control weeds, nuisances and diseases in crops and also for medicinal services of people and creatures. The positive part of application of pesticides renders upgraded edit/sustenance productivity and extreme lessening of vector-borne diseases. Be that as it may, their unregulated and indiscriminate applications have raised serious worries about the whole condition when all is said in done and the strength of people, flying creatures and creatures specifically. In spite of prohibition on application of a portion of the earth persistent and minimum biodegradable pesticides (like organochlorines) in numerous nations, their utilization is ever on rise. Pesticides cause serious wellbeing risks to living frameworks in view of their fast fat solubility and bio-collection in non-target life forms. Indeed, even at low fixation, pesticides may apply a few unfavorable impacts, which could be checked at biochemical, molecular or behavioral levels. The factors influencing water contamination with pesticides and their deposits incorporate drainage, precipitation, microbial action, soil temperature, treatment surface, application rate and also the solubility, versatility and half existence of pesticides.
Optimal switching between two spectrally negative Lévy processes to minimise ruin probability

We consider an optimal underwriting problem where given two insurance portfolios that generate cash flows according to two spectrally negative Lévy processes of bounded variation X and Y , one has to underwrite adaptively a convex combination of the two such that the probability of ruin occurring in the combined portfolio is minimised. This optimal underwriting problem boils down to an optimal switching problem where one has to decide, based on the available capital at a given time, whether to go for mode X or for mode Y at that time. The 1-switch-level strategy with parameter b in [0,∞] is the strategy where one switches from one mode to the other only at times when the capital goes above or below the level b. We find a set of sufficient conditions on the two Lévy measures such that an optimal strategy is formed by a 1-switch-level strategy, which covers in particular the case where the hazard rates of the two Lévy measures are decreasing and ordered. An interesting tool in the analysis is a new monotonicity property regarding quasi-convexity for renewal equations. MSC2020: 60G51 93E20 60K05 91G05
Survey, Screening, Dynamics: A No-Compromise Approach to High-Speed Atomic Force Microscopy

The AFM community has spent considerable effort over the last decade looking for ways to address the speed limitation of AFMs, and through this research many of the fundamental technological challenges have been addressed on an academic scale.2-4 Driven by the researcher’s quest for discovery, many of these efforts were aimed at improving the time-resolution of the AFM in order to view dynamic processes on the nanoscale;2,5 while some also anticipated the need for the versatility and productivity of a fast general-purpose AFM.3
The case for bureaucracy : a public administration polemic

"The Case for Bureaucracy" persuasively argues that American public servants and administrative institutions are among the best in the world. Contrary to popular stereotypes, they are neither sources of great waste nor a threat to liberty, but social assets of critical value to a functioning democracy. In presenting his case, Goodsell touches on core aspects of public administration while drawing on important, recent events to bring case material and empirical evidence fully up to date. This new edition incorporates the events of 9/11 to explore their impact on future bureaucratic performance, speaking specifically to the massive reorganization under the new Department of Homeland Security. As well, Goodsell offers a complete assessment of the reinventing government movement and related reforms to show how far bureaucracies have come, while pointing to the challenges they continue to face. This title features the following: Updating worth highlighting: new data on public perceptions of bureaucracy; new section on the delegation of policy implementation to contractors and nonprofits; new statistics regarding quality-of-life improvements in American society since the 1980s; new profiles of real bureaucrats - and citizen interaction with them - giving bureaucracy a human face; new material on bureaucratic contributions to the political system that go beyond implementing policy; new coverage of the administrative consolidation following 9/11 and competitive outsourcing by the Bush Administration; new analysis of current reform proposals focused on market competition and business management practices; and, new proposals for ways to improve bureaucracy.
The Use of Blockchain for Digital Archives: a comparison between Ethereum and Hyperledger (AIUCD 2019)

Negli ultimi anni la tecnologia blockchain si sta diffondendo sempre piu su larga scala in diversi settori di ricerca, inclusi i Beni Culturali. Esistono diverse tipologie di blockchain, che possono essere classificate sia in base al tipo di utenti che possono accedervi, sia in base alle funzionalita che offrono. Questo articolo descrive uno studio teorico in cui si confrontano due blockchain molto diverse tra di loro: Ethereum e Hyperledger, al fine di definire quale delle due e maggiormente indicata per la memorizzazione di beni culturali tangibili contenuti in archivi digitali. Dopo una breve descrizione delle due tecnologie, verra descritto un possibile scenario di applicazione abbastanza generico per poter capire quale delle due tecnologie meglio soddisfa i requisiti. Verra quindi effettuato il confronto tra le due blockchain sulla base di problematiche generali , requisiti architetturali e considerazioni varie . Come risultato del confronto, emergera che Hyperledger Fabric e piu adatta nel contesto degli archivi digitali.
CONCENTRATION OF ONLINE BANKING

Background: Online banking is a facility provided by banks and other financial institutions to their customers and clients for business transactions through internet. It enables the customers to access accounts and general information relating to bank’s products and services through a personal computer. It provides the convenience of banking anytime from ones home or work, without having to incur some of the costs associated with a branch visit like going to branch and waiting on lines. Objective: The prospects of online banking depends on customers. Therefore, specific understanding of customers perceived requirements and meeting their demands and expectations are becoming both opportunities and challenges to the bankers. This paper thus studies concentration of online banking and its impact on customer satisfaction from customers point of view. Methodology: The study is based upon a well designed schedule on five point Likert scale. The data were collected from 30 respondents and analysed with the help of the SPSS 15 software by employing Factor analysis. The reliability is examined by using split half test and Cronbach alpha. Findings: The findings reveal that customers are quite satisfied with the online payment system, customer oriented services and customer support provided by the banks as it saves their time and efforts besides the system being cost effective. Conclusion: The study concludes that banks in order to make their customers committed to deal online must implement personalised aspect to the service and take a problem solving approach in delivering services to their customers.
The Correlation of Undergraduate Course Research Experience and Critical Thinking Skills

This research aimed to analyse the correlation of undergraduate course research experience and critical thinking skills in the context of laboratory research. The undergraduate courses in this research were basic chemistry, plant-determination, photochemistry, drug, food, and cosmetic analysis. The students in a pharmacy department developed critical thinking skills during their time, making and using solvents, determining plant , analysing the fractionating active compound, and analysing active compounds. This research was qualitative descriptive research and used observation and interviews to collate data. Eighteen students made up the sample population. The critical thinking skills were divided into low, middle, and high categories (percentage). The data show the same interval in mean, standard deviation, and category percentage in every category with the same participants. The descriptive analysis used observation and interview in four undergraduate courses during laboratory research experiences. The study shows a positive correlation between critical thinking skills in the pharmacy laboratory and the undergraduate course.
Standardization of Naga Bhasma prepared by two different Bhavana Dravya

Naga Bhasma is one of the herbo-metallic preparations used in Ayurveda and claimed to possess broad spectrum of therapeutic efficacy. The Standard manufacturing Procedures of Naga Bhasma prepared by two methods by changing Bhavana dravya were developed with latex (NBAD) and leaf juice of Calatropis procera (NBAS). Shuddha Manahshila (Realgar) was taken as a Maraka Dravya. Naga Bhasma was prepared by using classical guidelines described in Rasa Ratna Samuchhaya. Total 10 Puta are required for preparation of Naga Bhasma. Total three batches of each group were prepared. An Average of 8.83% increase in weight of Manahshila was observed after Shodhana and 1600 ml Ardraka Swarasa was required for levigation. An Average of 12.57 & 18.55% increase in weight was found in NBAD and NBAS groups’ respectively. An Average of 181.33 ml of latex and 182.66 mlleaf juice of Calatropis procera were required for Bhavana. Grey coloured Naga Bhasma was obtained after 10 Puta in EMF. Both the Bhavana dravya i.e. latex and leaf juice were found similar in view of pharmaceutical and analytical aspect, hence method of preparation of Naga Bhasma with Arkapatra Swarasa may be preferred in view of large scale manufacture, cost, labour and availability of drugs.
Management of the technical training process of athletes in cycling sports

In cyclic sports, the main indicator that characterizes adversarial activity is the average speed of passing distances. The presence of functional dependencies of speed factors on various indicators of sports activity can determine its dynamics. It allows to simulate the process of competitive activity, and according to the dynamics of speed, to determine the nature of a particular indicator. Cyclists and swimmers defined law of motion, the dependence of the athlete's instantaneous speed and its acceleration ontime, applied forces, resistance forces and forces of inertia, as well as on specific physical and morphological data. The presence of a mathematical model allows us to create an adaptive system for controlling the technical preparedness of athletes in cyclic sports.
ProBERT: Product Data Classification with Fine-tuning BERT Model

In this paper, we describe our submission to the semantic web challenge on mining the product data in websites (MWPD2020). The dataset provided 19 K instances of product data collected from various websites. The task is to predict the category, deﬁned as hierarchical taxonomy as provided in the training set, of the product titles in the test set. In our approach, we present a simple BERT-based model (dubbed P ro BERT) for classifying product data into one or more categories. We trained our system on products titles and descriptions to learn semantic representation. The participated systems are evaluated using weighted-average precision, recall and F1-score.
MATHEMATICAL MODELING OF HOUSEHOLD WASTEWATER TREATMENT BY DUCKWEED BATCH REACTOR

Wastewater treatment is an essential criterion for the water quality management. The study emphasized on mathematical modeling of wastewater treatment using mixed population of different duckweed species (Spirodela polyrhiza, lemna minor and wolffia arrhiza) were adopted in order to investigate and later to develop kinetic models. The four reactors with different withdrawal ports were used to carry out batch experiments. The initial concentration and the final concentration of the wastewater were analysed for two sets of data, continuous set and discrete set, based on specified detention time of 10 days and 6 days respectively. The kinetic coefficients were obtained by the least squares method. The first order kinetic coefficients of the models were modified by the inverse technique in order to account for the uncertainties in the discrete experiments in the validation process.
Implicit Causality: A Comparison of English and Vietnamese Verbs

In sequences like ‘Lisa frightened/blamed Kate because she. ’, verbs influence the likelihood of subsequent pronouns referring to subjects or objects, an effect called implicit causality. In addition to its significance for theories of reference resolution, this effect is important for cognitive and socio-cultural research. A fundamental question has to do with the source of implicit causality effects and how they relate to verb classes (e.g. Stimulus-Experiencer). Furthermore, many researchers use implicit causality as a tool to investigate other aspects of pronoun interpretation. Crucially, this work requires access to preexisting information about the subject-vs.-object biases of individual verbs. Large-scale studies provide public datasets for English and Spanish. However, lack of large public datasets for typologically-diverse languages is a serious limitation. It is problematic for practical reasons (it poses challenges for experiments on languages without accessible implicit causality norms) and theoretical reasons (it limits our ability to understand implicit causality effects). To address this, we conducted a large-scale study of 149 verbs in Vietnamese and provide a comparison between these Vietnamese verbs and their English equivalents revealing intriguing variations in their implicit causality biases. Crucially, this work creates a database which can serve as a tool for theoretical and practical applications of crosslinguistic research relating to implicit causality. This working paper is available in University of Pennsylvania Working Papers in Linguistics: https://repository.upenn. edu/pwpl/vol26/iss1/21
An immunoinformatics approach for the design of a multi-epitope subunit vaccine for urogenital schistosomiasis

Discovery of T and B memory cells capable of eliciting long-term immunity against schistosomiasisis is important for people in endemic areas. Changes in schistosomes environment due to developmental cycle, induces up-regulation of Heat Shock Proteins (HSPs) which assist the parasite in coping with the hostile conditions associated with its life cycle. This study therefore focused on exploring the role of HSPs in urogenital schistosomiasis to develop new multi-epitope subunit vaccine against the disease using immunoinformatic approaches. The designed subunit vaccine was subjected to in silico antigenicity, immunogenicity, allergenicity and physicochemical parameters analysis. A 3D structure of the vaccine construct was predicted, followed by disulphide engineering for stability, codon adaptation and in silico cloning for proper expression and molecular protein–protein docking of vaccine construct in the vector against toll-like receptor 4 receptor, respectively. Consequently, a 493 amino acid multi-epitope vaccine construct of antigenicity probability of 0.91 was designed. This was predicted to be stable, non-allergenic in nature and safe for human use.