Miracle-dz/UniFAR-FTUs huggingface dataset:
Numerical Simulation of Local Heat Transfer Coefficients in Stirred Vessel with Impeller for Highly Viscous Fluids

We present a method of estimating local heat transfer coefficients on the wall of a stirred vessel for highly viscous liquids fitted with various types of impellers using only numerical simulation.We analyze simultaneously specific flow and heat transfer behaviors in an unsteady state due to heating from the side wall of the vessel by finely dividing the analyzed region within a temperature boundary layer in the vicinity of the wall.The fluids used for analysis are a highly viscous Newtonian and a non-Newtonian pseudoplastic liquid. The impellers used are a six-blade paddle, a double-helical ribbon and an anchor type.We clarify the dynamic changes of the Nusselt number distribution along the vessel height direction from the beginning of heating to the pseudo-steady state, as follows: The distributions are rather flat and at high values just after the beginning of the heating. Subsequently, the values decrease as the temperature boundary layer develops. Further, the maxima of the values grow at the points of the vessel wall where the discharge flows from the impellers impinge.We also clarify that there is no striking difference in flow and heat transfer behaviors, except for the apparent viscosity distribution around the impellers, for each impeller vessel regardless of whether it is pseudoplastic or Newtonian, provided that both, the initial Red and Pr number are set to be identical for the two liquids.We ascertaine the reliability of the simulated estimates by verifying them with experimental results from a multi-point, real-time temperature measuring system which we have developed.
The Peculiarities of the Organizational Learning of
 Clinicians and their Causes

The perception of knowledge management has evolved over the last several decades from managing the information to the involvement of employees in knowledge work – in particular, in the OL processes. However, research literature describes various obstacles for organizational learning in hospitals, related to both, the context of the organization’s activities, as well as the clash between the professional autonomy of the clinicians and the bureaucratic requirements regulating the work done by the clinicians. This paper looks into the peculiarities of the OL of clinicians occurring on both individual and collective levels and examines the causes that condition these peculiarities. The paper opens with an introduction, wherein the research problem is substantiated, the aim of the research and the conceptual positions are provided, the logical structure of the research is outlined. The literature review conducted in the second chapter reveals the essence of organizational learning, explains the significance of individual and collective learning for OL. Next, the researchers delve into the work done by clinicians as professionals in the context of OL. The steps taken allow substantiating the three levels of clinicians’ involvement in the OL processes – individual, group/department and organization‑as‑a‑whole. A thorough review of the theoretical background created the conditions for the empirical investigation into the organizational learning of clinicians. The research has been conducted in a small hospital in Lithuania. Highly selective sampling suggests that the data on the OL of the clinicians acquired during the research, and a detailed description of its relation to the context provides reliable insights into various aspects of the organizational learning of clinicians. The conclusions also raise questions that require further investigation, suggest health care administrators and clinicians consider collective efforts to create better quality organizational knowledge that would enable healthcare institutions to cope with continuously emerging ill‑structured problems.
Molecular-Level Manipulation of V2O5/Polyaniline Layer-by-Layer Films To Control Electrochromogenic and Electrochemical Properties

This work describes how manipulation at the molecular level of V2O5/polyaniline (PANI) nanocomposites built with the layer-by-layer (LBL) technique promotes enhancement of charge storage capability, new electrochromic effects, and control of ionic flux. By changing the film architecture we control the amount of PANI participating in the redox processes of the LBL films. As a consequence, the films display the electrochemical profile of V2O5 and the chromogenic properties of PANI. Impedance spectroscopy data show the presence of distinct phases in the nanocomposite, which allows a conducting path for the whole potential range between 0.5 and −1.5 V. Further control of the properties of the nanoarchitectures is achieved by adsorbing V2O5/PANI LBL films onto a cast PANI film. By changing the time of immersion of the PANI−V2O5/PANI system into a solution of LiClO4/propylene carbonate (PC), we were able to monitor the mass gain/loss (Δm) with an electrochemical quartz crystal microbalance (EQCM) as a function .
Recommender Systems: An Introduction and Overview

— In today’s constantly changing economy, the world market conditions are highly creating an impact on the minds of the customers in order to induce them to purchase the products developed by each of the organizations. In this competing world economy, the customers do not have a fair vision on what they actually need and how to identify the best suitable one among the rest. Hence there arises a huge demand for someone to actually tell them what they can buy and how they can buy, is it actually worth buying etc. A recommender system also known as a recommendation system can be illustrated as a such a system or an application that is capable of providing the customers valuable suggestions on a particular area such as products, movies, music and so on. This task is accomplished using a mechanism called, information filtering system with which the “ratings” or preferences of a customer can be anticipated well in advance and can be suggested to the customers.
Evaluation of Some Synthetic Oligolignols as Adhesives: A Molecular Docking Study

We have investigated alternative adhesives based on some oligomers that have structural units similar to lignins. The favorable interactions for a set of synthetic oligolignols were determined through a computational docking scheme, considering their conformational changes to adapt themselves on the surface of a three-dimensional model of cellulose I-β, to describe and elucidate the interactions that drove their adhesion ability based on the minimum interaction energy calculated for each of the oligolignols conformations. The selected oligolignols included nine dimers, five trimers and one tetramer all of these were built from two lignin precursors, coniferol and sinapol, bonded in four different linkages: β–O4′, β′–β′, β–5′ and γ–β′. Our results showed that trimers were the most favorable oligolignols to dock over the cellulose model, considering their individual docking energy. We hope that this work contributes to the field of wood adhesives design and helps in understanding the interaction between the cellulose and structural components of lignin.
Supporting Content Production Using Natural Language Processing

Natural language processing technology is a generic term for a group of technologies that analyze so-called natural languages, which are spoken naturally by humans, using computers. A wide range of research and development (R&D) is being carried out utilizing natural language processing in the field of broadcasting. This article explains content production support technologies arising from this research on broadcasting-related natural language processing technology. Specifically, we introduce NHK’s efforts concerning content production technologies aimed at (1) extracting useful information from society, (2) searching program archives for desired content, and (3) supporting content generation from data held by a broadcasting station and obtained externally.
ANALYSIS OF IMPORTANT FACTORS EFFECTING THE FUSION OF CORPORATE SUSTAINABILITY INTO STRATEGIC MANAGEMENT: AN INTERDISCIPLINARY EMPIRICAL RESEARCH IN THE FIELDS OF STRATEGIC MANAGEMENT AND ORGANIZATIONAL BEHAVIOR

The objective of the research paper is to study and comprehend the important factors that affect the fusion of corporate sustainability into strategic management. An in-depth survey was performed among the companies of various industries. The important data collected through the survey was analyzed by the method of Partial Least Squares (PLS) for evaluating the relationship among the constructs of the Conceptual research model. The results of the current interdisciplinary empirical research study disclosed that management control has the strongest effect on the fusion of corporate sustainability into strategic management, followed by stakeholder’s engagement in the discipline of Strategic Management. The present research study also revealed that organizational culture has the strongest effect on the fusion of corporate sustainability into strategic management followed by managerial attitude and behavior in the discipline of Organizational Behavior. The hypothesized path relationships between important factors and the fusion of corporate sustainability into strategic management were found to be Statistically Significant. The companies in the information technology, auto ancillary, and knowledge process outsourcing (KPO) industries have to focus and create novel strategies for effective management control and organizational culture factors which are critical to the growth and development of an organization.
PSYCHOLOGICAL DEFENSES AND COPING STRATEGIES IN PRESCHOOL CHILDREN: SEX DIFFERENCES AND RELATIONSHIP WITH PSYCHOLOGICAL HEALTH

The article represents the research, analysed the reviewing of defensive mechanisms and coping strategies in the context of the mental health of pre-school children of different gender. The results obtained through study point to differentiation of psychological defence and coping strategies mechanisms based on gender and the condition of mental health. It is revealed that mentally healthy pre-school age children prefer to use effective and socially upheld coping-strategies, which reduce the pressure through socially upheld behaviour patterns (e.g., through the decent “children’s activity” – play, walk and etc.). Mentally healthy girls more often focus on overcome the difficulties within themselves. Boys, who have emotional symptoms, as usual prefer the destructive emotional expression strategy, that lets to ease the tension. Boys with the low level of anxiety are oriented to the passive distraction, while girls focus on the social contacts. Received results can be used for development of psychological prevention of mental health offences programmes
Evaluation of the effect of the concentration of seeding particles on spike-excitation doppler UVP measurement

In the study of fluid flows, one of the important parameters is the spatialtemporal velocity distribution. Experimental measurement of the parameter is required for the development and validation of various models in this field. Techniques for the measurement of flow velocity at single points have been in operation with great success for many years. However, there are situations where the measured data at one point is obviously not enough to understand structures in, e.g., turbulent/transient flows. One of the well-established and powerful methods for measuring velocity distribution is the UVP Ultrasonic Velocity Profile method that enables measurements of the instantaneous velocity profile along a measurement line, i.e. the sound path. The new application of spike excitation along with the Doppler signal processing to the UVP method has recently been successfully tested. Regarding this new method, factors influencing the measurement result require further careful investigations. This study addresses, to some extent, the effect of the seeding-particle concentration on the results of spike-excitation UVP measurements. For the investigation, experimental measurements of water pipe flow have been carefully executed for a wide range of the particle concentration. The dependence of the measured data on the particle concentration is evaluated and reported. The result of this study suggests an appropriate range of the seeding-particle concentration in setting up spike-excitation UVP measurements.
Fault Detection and Isolation in DC Microgrid using Least Square Method

DC Microgrid protection is essential for continuous power supply to the customers. The objective of this proposed work is to detect and locate the fault for fast restoration of the system to normal operation. The proposed protection scheme for DC Microgrid uses Intelligent Electronic Device for detecting and locating the fault. For accurate fault location, the Least Square based estimation technique is used to estimate the inductance of the fault path, from which the direction of fault will be identified. Using the direction of the fault information, internal and external faults are discriminated. The proposed system is tested with various fault conditions and locations in DC Ring Microgrid. The DC Microgrid with ring configuration and its protection schemes are simulated using MATLAB/Simulink environment.
Toxicological Assessment of Solanum Erianthum Extracts in Albino Rats: Haematological, Biochemical and Histopathological Findings

Article info: Received: 16 Jul 2020 Accepted: 20 Sep 2020 Online Published: 01 Jan 2021 Research Paper: Toxicological Assessment of Solanum Erianthum Extracts in Albino Rats: Haematological, Biochemical and Histopathological Findings * Corresponding author: Ikechukwu Peter Ejidike, PhD. Address: Department of Chemical Sciences, Faculty of Science and Science Education, Anchor University, Ayobo, Lagos, Nigeria. E-mail: iejidike@aul.edu. ng
Using Text Analytics on Reflective Journaling to Identify Cultural Capitals for STEM Students

Alma project focuses on retention of Historically Underrepresented (HU) students in STEM fields by affirming their cultural capitals (skills, knowledge, communities, and abilities that students possess). Students are asked to write reflective journals on prompts such as ‘Why am I here? ’ to reminds them of their cultural capitals, and career aspirations. These essays are then analyzed by the Alma team to identify mentions of cultural capital themes (CCT) such as Attainment (describes a tangible goal), or First Generation (identifies student being first in family to attend college). However, detecting these CCTs in student essays is a labor intensive task. Our work offers a computational solution that is scalable and effective for this problem. We propose TACCTI (pronounced as Tacit), Text analysis and mAchine learning for Cultural Capital Theme Identification – a computational framework that employs latest developments in natural language processing and machine learning to identify instances of cultural capital themes in student essays. An empirical evaluation using Logistic Regression, Random Forest, LSTM, and BERT algorithms for the task of detecting presence (or absence) of Attainment CCT provides F1 scores of 0.82, 0.81, 0.84, and 0.92, respectively. Classification models for detecting First Generation CCT demonstrate that when limited training data is available, the traditional classification algorithms outperform deep learning based approaches – Logistic Regression and BERT models offer effectiveness of 0.91 and 0.83, respectively. Additional analysis demonstrates that word embeddings and named entity type of features (signals) have the highest influence on the performance of the classification models.
A Performance Investigation of a Single Phase Multilevel Inverter Fed Nonlinear Loads for Solar PV Applications

This paper is design and enlargement of eleven multilevel inverter fed nonlinear loads for solar PV applications. First, control the speed of induction motor, to determine the effectiveness of multilevel inverter and its compare. Second, the open loop control of nonlinear loads according to required operation point of the loads the different operation conditions, fast transient response is obtained. The proposed inverter system is compare with R, RL and Induction motor load performance of inverter and to determine the Total Harmonic Distortion (THD). The proposed system verified simulation result are validate and discussed.
Investigating the Antibiotic Resistance Prevalence and Phenotypic and Genotypic Evaluation of AcrAB-OprM Efflux Pump in Multidrug-resistant in Clinical Isolates of Moraxella catarrhalis in Kazerun City, Iran

Background: Moraxella catarrhalis a gram-negative bacterium, is a significant cause of lower and upper respiratory infections. The RND family efflux pumps lead to multidrug resistance in gram-negative bacteria. One of the well-known pumps in M. catarrhalis is AcrAB-OprM system. This study aimed to investigate the antibiotic resistance in M. catarrhalis and to determine its antibiotic resistance dependence on the efflux pump. Methods: In this study, 137 different clinical samples were collected. M. catarrhalis isolates were confirmed by biochemical assays and PCR. The antibiotic susceptibility pattern was investigated by disc diffusion method according to CLSI. Phenotypic study of the efflux pumps activity was done using cartwheel method. Study of the acra, acrb, and oprm genes were performed by, PCR. In addition, the association of efflux pump with antibiotic resistance was investigated using phenylalanine-arginine β-naphthylamide. Results: Of 10 isolated M. catarrhalis, 70% (7 isolates) showed multiple antibiotic resistance. The resistance to cefazolin, ceftazidime, tetracycline, chloramphenicol, and ciprofloxacin antibiotics was also dependent on the efflux pump. Conclusion: The results showed that multiple antibiotic resistance has increased in Moraxella catarrhalis. The 70% presence of acra, acrb, oprm efflux genes of the efflux pumps in this bacterium and antibiotic resistance reduction in the presence of efflux pump inhibitor shows the importance of examining these genes’ presence to suggest a suitable treatment model for the patients infected with M. catarrhalis.
Statistical Techniques for Detecting Cyberattacks on Computer Networks Based on an Analysis of Abnormal Traffic Behavior

Represented paper is currently topical, because of year on year increasing quantity and diversity of attacks on computer networks that causes significant losses for companies. This work provides abilities of such problems solving as: existing methods of location of anomalies and current hazards at networks, statistical methods consideration, as effective methods of anomaly detection and experimental discovery of choosed method effectiveness. The method of network traffic capture and analysis during the network segment passive monitoring is considered in this work. Also, the processing way of numerous network traffic indexes for further network information safety level evaluation is proposed. Represented methods and concepts usage allows increasing of network segment reliability at the expense of operative network anomalies capturing, that could testify about possible hazards and such information is very useful for the network administrator. To get a proof of the method effectiveness, several network attacks, whose data is storing in specialised DARPA dataset, were chosen. Relevant parameters for every attack type were calculated. In such a way, start and termination time of the attack could be obtained by this method with insignificant error for some methods.
High Expression of the Component 3a Receptor 1 (C3AR1) Gene in Stomach Adenocarcinomas Infers a Poor Prognosis and High Immune-Infiltration Levels

Background This study was designed to explore the incompletely investigated role of the complement component 3a receptor 1 (C3AR1) in the prognosis of stomach adenocarcinomas (STAD). Material/Methods Using bioinformatic methods, we systematically determined the expression and prognosis value of C3AR1 in various cancers by using the TIMER (Tumor Immune Estimation Resource) database, UALCAN platform, GEPIA (Gene Expression Profiling Interactive Analysis) server, and the OncoLnc tool. The biological processes influenced by C3AR1 were determined using the GSEA (Gene Set Enrichment Analysis) software (Copyright 2004–2020 Broad Institute, Inc., Massachusetts Institute of Technology, and Regents of the University of California). The correlation between C3AR1 expression and the immune-infiltrating cells as well as the correlation analysis between C3AR1 expression and the corresponding immune-marker sets were conducted using the TIMER and GEPIA databases. Results The expression of C3AR1 was significantly (P<0.001) differentially expressed on several tumor types, while its prognosis value could only be determined on STAD, with a high expression of C3AR1 closely correlated with a poor prognosis. The GSEA analysis revealed that the differential expression of C3AR1 profoundly affected the immune-related biological processes. The expression of C3AR1 was strongly and positively correlated with the infiltration of monocytes, tumor-associated macrophages, M2 macrophages, dendritic cells, and exhausted T cells. Conclusions Our results have revealed that a high expression of C3AR1 is positively correlated with a poor prognosis and increased tumor-immune infiltration. C3AR1 can promote the polarization of M2 macrophages and T cell exhaustion, leading to the immune escape of STAD. These findings suggest that C3AR1 could be used as a prognostic and immune-infiltration marker in the pathogenesis of STAD.
A Bayesian Covariance Graphical And Latent Position Model For Multivariate Financial Time Series

Current understanding holds that financial contagion is driven mainly by the system-wide interconnectedness of institutions. A distinction has been made between systematic and idiosyncratic channels of contagion, with shocks transmitted through the latter expected to be substantially more likely to lead to systemic crisis than through the former. Idiosyncratic connectivity is thought to be driven not simply by obviously shared characteristics among institutions, but more by latent characteristics that lead to the holding of related securities. We develop a graphical model for multivariate financial time series with interest in uncovering the latent positions of nodes in a network intended to capture idiosyncratic relationships. We propose a hierarchical model consisting of a VAR, a covariance graphical model (CGM) and a latent position model (LPM). The VAR enables us to extract useful information on the idiosyncratic components, which are used by the CGM to model the network and the LPM uncovers the spatial position of the nodes. We also develop a Markov chain Monte Carlo algorithm that iterates between sampling parameters of the CGM and the LPM, using samples from the latter to update prior information for covariance graph selection. We show empirically that modeling the idiosyncratic channel of contagion using our approach can relate latent institutional features to systemic vulnerabilities prior to a crisis.
Dialogue-Thermal Comfort: Investigation Through Body Behavior in Kampung Deret Petogogan

This paper explores the relationship between thermal comfort with body behavior. Thermal comfort which is usually measured using a thermo hygrometer, but in this paper the author will more focus on analyzing the body behavior of the occupants in identifying spaces that are comfortably and thermal discomfort. The classification of spaces, elements, and occupants’ activities that will affects the level of thermal comfort here. This study took three sample houses as a representation in the Kampung Deret Petogogan, using in-depth interviews, observing the body behavior of the occupants and the researches. The purpose of this research is to get an answer from the use of RISHA House in the Kampung Deret Petogogan which is a government program that can provide thermal comfort for the occupants. The results of this research are expected to be a guideline for government to developing RISHA House in the future.