Miracle-dz/UniFAR-FTUs huggingface dataset:
Design of Monitoring System for Electric Vehicle Charging Facilities Based on Cloud Platform

Faced with the increasingly severe pressure of traditional energy consumption and environmental problems, electric vehicles have become the hotspot and trend of the development of the world automobile industry due to their energy-saving and environmental protection characteristics. The cloud platform in the paper was introduced into the monitoring system of electric vehicle charging facilities, and a model of electric vehicle charging facility monitoring system based on cloud platform was proposed. Aiming at the difficulty of charging facility monitoring system in large concurrent data processing, a M/M/C queuing theory model was presented. Data concurrency control algorithm. The transmission process of the data frame in the monitoring system was analyzed, and the concurrent processing algorithm was applied to the large charging station for analysis experiments. The experimental results showed that the proposed algorithm not only satisfied the real-time and concurrency requirements of data frame transmission, but also proved that the gateway optimization method could accurately derive the optimal number of gateways.
Students’ Perceptions Of the Implementation of a Cyberlearning Tool

A cyberlearning tool was developed to facilitate teaching and learning of software engineering courses. The tool, SEP-CyLE (Software Engineering and Programming Cyberlearning Environment), was developed by a publicly funded research university and is currently being used by at least seven other universities across the United States of America. The National Science Foundation (NSF) provided funding for the development and implementation of the tool. Since its initial development the scope of the tool has been expanded for use in other university level computer science courses. The three learning engagement strategies (LESs) that are an integral part of the tool are (i) collaboration, (ii) gamification, and (iii) social interaction. This paper focuses on the gamification strategy that was implemented in multiple sections of an introductory computer programming course at a university that was one of the locations for the multi-site project funded by the NSF. A study was conducted to determine students’ perceptions of the cyberlearning tool and how it was implemented. Data for the study were obtained through interview and focus group sessions. The data were transcribed to extract the major ideas expressed by the students during the interview and focus group sessions. The findings are presented and discussed. The usefulness of the tool and the motivational aspects of the gamification strategy are explored as well. The paper provides suggestions from students for improving the tool and recommendations on how SEP-CyLE should be implemented in classrooms. The main contributions of this work are as follows
Changes in plasmic and platelet hemostasis in patients with chronic renal failure in hemodialysis

: Plasmic and platelet components of hemostasis were examined in 50 patients with terminal chronic renal failure (CRF) aged 23 to 67 years and 30 healthy controls of the same age. A plasmic hemostasis component was studied basing on 11 parameters of coagulogram. A platelet hemostasis component was studied by platelet aggregation: spontaneous and induced by ADP (in concentration 1.25, 2.5 and 5.0 mkg/ml), collagen, adrenalin and ristomycin. All CRF patients before hemodialysis had a significant alterations of 6 indices of a plasmic component of hemostasis: activated partial thromboplastic time, content of soluble fibrinmonomeric complexes, thrombine time; of 3 from 7 tests of aggregatogram (ADP, collagen, ristomycin induced aggregation). After hemodialysis severity of the above pathological shifts deteriorated (1.5 to 5 times). Thus, CRF patients on hemodialysis showed aggrevation of impairment of all hemostasis components. They are at risk of hypercoagulation, DIC-syndrome, massive thromboembolism. The above impairment of hemostasis should be considered in prescription of anticoagulant therapy to CRF patients. Monitoring of hemodialysis and adequate correction of the hemostasis system defects may contribute to improvement of quality of life of patients with terminal CRF and lowering of their mortality rate.
AFRREV VOL 13 (4), S/NO 56, SEPTEMBER, 2019

This study explored the implications of employee voice management on firm performance of Bayelsa State Plastic Company, Elebele, Yenagoa. Quantitative research design was employed while structured questionnaire designed in 5-point Likert scale was administered on the sample of two hundred and eighty-one (281), out of which, two hundred and seventy-six (276) copies of the questionnaire were returned, hence used for the analysis. Multiple regression models via Ordinary Least Square (OLS) formed the bases for estimation. The results showed that employee team voice, employee ombudsman voice and employee suggestion scheme as constructs of employee voice have significant effect on firm performance and concluded that efficient utilization of employee voice management has the potentiality of driving high performance organizations by engendering goal-driven-attitude among the workers especially as their opinions, ideas and interests are considered. The implication of the results is that employees tend to demonstrate higher level of work commitment especially when they perceived that their welfare and interests are considered by the management. The study recommended that organizations especially manufacturing firms that have not yet engendered employee team voice in their communication systems should do so while firms that have instituted employee team voice mechanisms should continue to respond to the yearnings of their workers especially on issues that relate to their welfare for the elicitation of higher commitment to work that result to improved firm performance. AFRREV VOL 13 (4), S/NO 56, SEPTEMBER, 2019 COPYRIGHT © IAARR: www.afrrevjo. net 25 Indexed African Journals Online: www.ajol. info Indexed Society of African Journals Editors (SAJE); https://africaneditors.org/
UV-Cured Poly(Ethylene Glycol) Diacrylate/Carbon Nanostructure Thin Films. Preparation, Characterization, and Electrical Properties

Carbon nanoallotropes such as carbon nanotubes, graphene, and their derivatives have been combined with a plethora of polymers in the last years to develop new composite materials with interesting properties and applications. However, the area of photopolymer composites with carbon nanostructures has not been analogously explored. In the present article, we study the photopolymerization of poly(ethylene glycol)diacrylate (PEGDA) enriched with different carbon nanoallotropes like graphene, pristine and chemically modified carbon nanotubes (CNTs and fCNTs), and a hybrid of graphene and CNTs. The products were characterized by several microscopic and spectroscopic techniques and the electrical conductivity was studied as a function of the concentrations of carbon nanoallotropes. In general, stable thin films were produced with a concentration of carbon nanostructures up to 8.5%, although the addition of carbon nanostructures in PEGDA decreases the degree of photopolymerization, and PEDGA/carbon nanostructure composites showed electrical conductivity at a relatively low percentage.
Data reconciliation of freight rail dispatch data

In order to enable widespread use of data driven analysis and machine learning methods for rail operations problems, large volumes of operational data are needed. This data has the potential to contain erroneous or missing values, especially given its size and dimensionality. In this work a data reconciliation problem for rail dispatch data is proposed to identify and correct errors, as well as to impute missing data. The data reconciliation problem finds the least-perturbed modification of the historical data that satisfies operational constraints, such as feasibility of meet and overtake events, safety headway, siding allocation, and running time. It also imputes missing values with estimates that satisfy all operational constraints. The data reconciliation method is applied to a large historical dataset from freight rail territory in Tennessee, United States, containing over 3,000 train records over six months. The method identifies and corrects errors in the historical data, and is able to impute data on a synthetically decimated version of the historical data. The quality of the imputed data from data reconciliation is compared to imputed data using naive interpolation. The results show that data reconciliation reduces timing error of imputed points by up to 15% and increases the number of meet and overtake events estimated at the correct historical location from less than 40% to approximately 95%. These findings indicate that the data reconciliation method is a useful preprocessing step for analysis and modeling of railroad operations that are based on real-world physical dispatching data.
Comparison of the Response Evaluation Criteria in Solid Tumors with Volumetric Measurement for Evaluation of Response and Overall Survival with Liver Metastases from Colorectal Cancer

Purpose The aim of this study was to compare the measurements of diameter and volume of hepatic metastases from CT images with the overall survival and tumor response, in patients with unresectable liver metastases of colorectal cancer treated with a targeted agent. Materials and Methods We recruited 43 patients with unresectable liver metastases of colorectal cancer, in whom targeted therapy was used as the first-line treatment. Three-dimensional quantification of the volume of hepatic metastases was performed for each patient. An independent survival analysis using the Response Evaluation Criteria in Solid Tumors guidelines was performed and compared to the volumetric measurement. Overall survival was evaluated using the Kaplan-Meier analysis and compared to the Cox proportional hazard ratios (HRs) following univariate and multivariate analyses. Results In patients classified as non-progressing and progressing by the volumetric criteria, the median overall survival time was 21 months [95% confidence interval (CI): 491.25–768.75] and 11 months (95% CI: 0–949.42), respectively (p = 0.001). Using a multivariate analysis, we found that volumetric response (HR: 3.467; p = 0.002) was a significant factor affecting the overall survival in patients with liver metastases of colorectal cancer. Conclusion Volumetric assessment of liver metastases could be an alternative predictor of the overall survival of patients with liver metastases of colorectal cancer treated with a targeted agent.
Different Immune Reconstitution between Cord Blood and Unrelated Bone Marrow Transplantation with Relation to Chronic Graft-versus-Host Disease

Background: Advances of allogeneic hematopoietic cell transplantation (allo-HCT) have brought long-term survival to the patients with hematologic malignancies. Chronic graft-versus-host disease (GVHD) is one of major problems for the long- term survivors after allo-HCT. Dysregulation of immune reconstitution has been reported to be involved in the pathogenesis of chronic GVHD. Differences of immune reconstitution between cord blood transplantation (CBT) and unrelated bone marrow transplantation (UBMT) remain unclear in long-term survivors. We investigated immune reconstitution in patients surviving for more than 2 years after CBT (n=21) or UBMT (n=20) without relapse of underlying disease. Materials and Methods: Using flow cytometric analysis of peripheral blood, we investigated immune reconstitution of T cells, B cells, and NK cells between CBT and UBMT patients. We collected clinical data regarding allo-HCT and examined the relation of immune reconstitution to the development of chronic GVHD. Results: Between CBT and UBMT patients, we found significant differences in absolute cell number of CD8+ as well as CD19+ cell and CD4/CD8 ratio even more than 2 years after allo-HCT. Among UBMT patients, absolute cell number of naive CD4+ cell was significantly lower in patients with chronic GVHD. In addition, we found significant differences in absolute cell number of CD19+ cell, especially naive B cell between patients with and without chronic GVHD in both CBT and UBMT patients. Conclusion: These results suggest that differences of immune recovery between CBT and UBMT patients may exist even in patients surviving for more than 2 years and might be related to the development of chronic GVHD.
Bologna education reforms. Lessons for Indian knowledge economy

European educational transformation post-Bologna reforms have a plethora of learning experiences for India in its quest for being a leader in the global knowledge forum. The paper analyses the Bologna Process reforms and attempts at development of a similar educational internationalization framework for Indian system. The pre-requisites for a knowledge economy and how the Bologna reforms confirms to all these. Most importantly it is relevant for India to model its own higher education after Bologna reforms.
Construction and analysis of the graph of social network professional communities

SHAVALIEVA, Adel: Construction and analysis of the graph of social network professional communities. [Master’s Thesis] Czech Technical University in Prague. Faculty of Electrical Engineering, Department of Computer Science. Supervisor: Ing. Karel Frajták, Ph.D. Social Network Analysis is a study of social networks that considers social relationships in terms of network theory. It is widely used in a number of applications and disciplines, e.g. selection of user segments for targeted advertising campaigns or collaborative filtering. Network analysis includes data collection and accumulation, network and sample modeling, analysis of user characteristics and behavior. The object of the thesis is to develop a model for analyzing the social network graph. The problem of the lack of a ready-made method for identifying the interests of users of a social network based on the communities they are in is considered. To solve this problem, a social network model was constructed in the form of a weighted graph, and data clustering based on their specific features was implemented on the basis of social network materials. Keywords​: social network, community detection, clustering, graphs, graph visualization.
Linking bulk modulus to an unilateral damage yield criterion: A thermodynamic modeling approach

This work presents a new damage criterion suitable for elastic, elastic-plastic/viscous or elastic-viscous-plastic materials involving rupture effects. Its derivation, made here within a thermodynamic framework, follows previous scalar-valued damage mechanics approaches. Such approaches are appropriate to many geophysical problems involving quasi-brittle materials for which there is no clear physical justification for the level of complexity of a tensorial damage variable. Distinction between the mechanical response to compressive and tensile stresses is therefore not introduced by the damage itself but via a special definition of the Helmholtz free energy. This scheme differs from previous ones in that it combines with an evolution of Poisson’s ratio with the level of damage, which allows expressing the damage criterion in the principal stresses space. Moreover, there is no need to compute the stress eigensystem, which makes it simpler to implement than the Mohr–Coulomb damage criterion. Here we derive this damage criterion and compare it to observations of the variations of the bulk modulus in damaged geomaterials. We also compare it to in-situ stress measurements and find a good agreement in terms of the shape of the criterion in the stress space. We tentatively interpret the results in the context of previous studies of rock and ice mechanics.
Recent Advances in Diagnosis of Flavobacteriosis Among Some Freshwater Fishes

Columnaris disease caused by Flavobacterium columnare exists worldwide and affects a wide variety of fishes. This study aimed to investigate the isolation and characterization of Flavobacterium columnare from naturally infected fishes (Oreochromis niloticus and Clarias gariepinus) in Ismailia, using conventional biochemical methods and molecular techniques. Bacteriological examination revealed presence of 162 suspected Cytophaga isolates of which only 102 isolates were characterized as F. columnare strains according to colony character on Cytophaga agar which appeared yellow or whitish yellow in color, flat irregular with stiletto edge, clear swarming and rhizoid characters. Biochemical characterizations demonstrated that all isolates tested uniformly positive for catalase, gelatin liquefaction, absorption of Congo Red and flexirubin pigment, but they were negative for indol, Methyl red, Vogus Proskauer, and lactose, glucose, saccharose, manitol, arabinose and maltose fermentation. All isolates produced unique and clear PCR bands of the expected size (675 base pair). Consequently, PCR confirmed the positive results of the biochemical reactions of suspected isolated strain and concluded that it is of F.columnare.
New Gaussian Plume Equation for the Impacts of Dust Storms on Radionuclide Transport

ABSTRACT Potential impacts of dust storms on radionuclide atmospheric dispersion have been the focus of great attention lately by countries that opted to build nuclear power plants in arid regions. The Gaussian point source dispersion equations have been modified to incorporate the rate of scavenging of gaseous radioactive plumes emitted from nuclear power plants due to adsorption by nanoaerosols that come from dust storms. The radionuclide-nanoaerosol interaction has been built based on the flux-matching theory assumptions: the size of a particle has the same order of magnitude of the mean free path of the molecules of air, and the adsorption coefficient is time-dependent. A correction factor (λr) has been introduced to the Gaussian plume equation to represent the fraction of the remaining radionuclides in the atmosphere at any distance downwind. A case study involving iodine-131 was used to apply the modified equations and to estimate the correction factor for different dust storms. The fraction of the adsorbed radionuclides on the atmospheric nanoaerosols (1 – λr) varies from less than 0.1 during a dust storm that has a density of 10 µg m–3 to more than 0.9 during a heavy dust storm of 1000 µg m–3 of density. Therefore, 90 percent of the transported radionuclide plume can be adsorbed by the atmospheric nanoparticles during the heavy dust events, while less than 10 percent can be adsorbed on the atmospheric nanoaerosols in normal days. These findings pose new challenges since radionuclides can be carried by nanoaerosols to farther distances than what is normally expected.
On Some Inequalities for the Generalized Euclidean Operator Radius

There are many criterion to generalize the concept of numerical radius; one of the most recent interesting generalization is what so-called the generalized Euclidean operator radius. Simply, it is the numerical radius of multivariable operators. In this work, several new inequalities, refinements, and generalizations are established for this kind of numerical radius.
Comparison of Microstrip W-Band Detectors Based on Zero Bias Schottky-Diodes

This paper presents and discusses three different low-cost microstrip implementations of Schottky-diode detectors in W Band, based on the use of the Zero Bias Diode (ZBD) from VDI (Virginia Diodes, Charlottesville, VA, USA). Designs are based on a previous work of modeling of the ZBD diode. Designs also feature low-cost, easy-to-use tooling substrates (RT Duroid 5880, 5 mils thickness) and even low-cost discrete SMD components such as SOTA resistances (State Of The Art TM miniaturized surface mount resistors), which are modeled to be used well above commercial frequency margins. Intensive use of 3D EM simulation tools such as HFSS TM is done to support microstrip board modeling. Measurements of the three designs fabricated are compared to simulations and discussed.
A MULTI-OBJECTIVE FIREFLY ALGORITHM FOR PRACTICAL PORTFOLIO OPTIMIZATION PROBLEM

Portfolio optimization is the process of allocating capital among a universe of assets to achieve better risk return trade-off. Portfolio optimization is a solution for investors to get the return as large as possible and make the risk as small as possible. Due to the dynamic nature of financial markets, the portfolio needs to be rebalanced to retain the desired risk-return characteristics. This study proposed multi objective portfolio optimization model with risk, return as the objective function. For multi objective portfolio optimization problems will be used mean-variance model as risk measures. All these portfolio optimization problems will be solved by Firefly Algorithm (FA).
Comparing HMM-based Recognition to Perceptual Phonetic Integration in Fricative-Vowel Syllables

In fricative-vowel syllables, the perceptual identification of the consonant is significantly better when at least part of the accompanying vowel is available, with respect to the case in which only the consonant is heard. In this study, the ability of hidden markov models (HMM) for reproducing the process of phonetic integration is assessed by comparing automatic recognition with listeners’ perception. Results show that HMM perform better than listeners for isolated fricative noises, but worse for fricative+vowel segments. The utility of fricative+vowel models versus syllable models is discussed.
Genotyping of Trichomonas vaginalis isolates from Egypt

Background: Trichomoniasis is the most prevalent non-viral sexually transmitted infection worldwide. The outcome of infections is governed by several parasite and host factors. Molecular typing methods revealed two-type population structures for T. vaginalis, type I and type II that may differ in pathogenicity, drug resistance, and clinical presentation. Objective: To elucidate the genotype of the Egyptian isolates of T. vaginalis using multilocus sequence typing (MLST). In part, this study aims to evaluate possible relationship between genotypes and growth kinetics, metronidazole (MTZ) susceptibility and clinical presentation. Patients and Methods: Three hundred vaginal washouts were collected from Egyptian women patients aged 20-45 years suspected of having trichomoniasis. Microscopically, positive samples were cultured on modified trypticase yeast extract maltose (TYM) medium and isolates were submitted to MLST targeting three housekeeping genes namely tryptophanase (p1), alanyltRNA synthetase (p8) and DNA mismatch repair protein (p13). Results: Of the 300 samples collected, 12 (4%) proved positive for T. vaginalis by wet mount examination and culture. MLST proved that Egyptian isolates comprised two types, genotype I, constituting 70 % of the isolates and genotype II, 20 %. Mixed infection was detected in 10% of cases. No correlation was found between genotype and growth kinetics, MTZ susceptibility and clinical presentation. Conclusion: MLST is important in investigating the genetic diversity of T. vaginalis Egyptian isolates. It is recommended that a future larger multicenter study is carried out, whereby a larger number of isolates obtained from both females and males is investigated for a complete picture of genetic diversity and epidemiology.