Miracle-dz/UniFAR-FTUs huggingface dataset:
First Study on the Electronic and Donor Atom Properties of the Ultra-Thin Nanoflakes Quantum Dots

Nanoflakes ultra-thin quantum dots are theoretically studied as innovative nanomaterials delivering outstanding results in various high fields. In this work, we investigated the surface properties of an electron confined in spherical ultra-thin quantum dots in the presence of an on-center or off-center donor impurity. Thus, we have developed a novel model that leads us to investigate the different nanoflake geometries by changing the spherical nanoflake coordinates (R, α, ϕ). Under the infinite confinement potential model, the study of these nanostructures is performed within the effective mass and parabolic band approximations. The resolution of the Schrödinger equation is accomplished by the finite difference method, which allows obtaining the eigenvalues and wave functions for an electron confined in the nanoflakes surface. Through the donor and electron energies, the transport, optoelectronic, and surface properties of the nanostructures were fully discussed according to their practical significance. Our findings demonstrated that these energies are more significant in the small nanoflakes area by altering the radius and the polar and azimuthal angles. The important finding shows that the ground state binding energy depends strongly on the geometry of the nanoflakes, despite having the same surface. Another interesting result is that the presence of the off-center shallow donor impurity permits controlling the binding energy, which leads to adjusting the immense behavior of the curved surface nanostructures.
Therapeutic Effects of Edaravone on Azoospermia: Free Radical Scavenging and Autophagy Modulation in Testicular Tissue of Mice

Background: Chemotherapeutic agents such as cyclophosphamide and busulfan have been shown to have a negative impact on the spermatogenesis process. Based on this fact, the objective of this study was to investigate the effects of edaravone on spermatogenesis in busulfan-induced mice. Methods: Forty adult male mice were equally divided into the four groups: 1) control, 2) edaravone, 3) busulfan, and 4) busulfan + edaravone. Then, the sperm parameters, histopathological examinations, and serum levels of testosterone, follicle-stimulating hormone (FSH), and luteinizing hormone (LH) were also assessed. Caspase-3, Beclin-1, and ATG-7 mRNA levels were also determined using real-time PCR. Results: Our results revealed that treatment of mice with edaravone in busulfan-induced azoospermia significantly improves sperm parameters, including total count, morphology, and viability (p<0.05). Furthermore, edaravone administration led to a significant increase in serum testosterone (p<0.0001) and FSH (p<0.001) levels, as well as testis weight (p<0.05) and volume (p<0.01). Edaravone also prevented a decrease in the number of testicular cells including spermatogonia (p<0.0001), primary spermatocytes (p<0.001), round spermatids (p<0.0001), Sertoli (p<0.01), and Leydig cells (p<0.0001) in busulfan-treated mice. Additionally, in busulfan-induced azoospermia, edaravone significantly reduced the percentage of sperm with immature chromatin (p<0.0001). Following treatment with edaravone, a decrease in reactive oxygen species (ROS) and an increase in glutathione (GSH) production were noted compared to busulfan-treated mice. Furthermore, caspase-3 (p<0.05), Beclin-1, and ATG-7 (p<0.001) genes expression decreased significantly in treatment groups compared to busulfan-induced azoospermia. Conclusion: According to our findings, edaravone can improve spermatogenesis in busulfan-induced azoospermia through free radical scavenging and autophagy modulation in testicular tissue.
Proposing a Secure URL Shortening Service by using Blackboard Architecture

URLs can get long, unattractive, and break when sent via e-mail. To shorten an Internet address, we proposed a secure URL shortening service which will take a long Web address and create a shorter address that will not break in an e-mail posting by using the Blackboard architecture. Security is considered in the proposed service to prevent hacking because shortened links may stop working or requests can be redirected to advertising websites and/or websites containing malware. The Blackboard is updated continuously by KS and it holds all the data concerning the URL shortening by storing all the intermediate solutions until the final solution of the problem of URL shortening is found. The knowledge sources that are proposed in the Blackboard system include: (URL Validation, URL Statistics, and Secure URL shortening). As a result the proposed secure URL shortening service will give the user more trust to use the service with security, availability, and confidentiality consideration as compared to the available used services.
Microscopic Structural Analysis of Complex Networks: An Empirical Study using Motifs

Complex Networks can depict a clear image of real-world systems. A real-world scenario can be represented a graph with interconnected layers - called a multi-layer network. Finding motifs can give an idea of the topology of complex systems and helps to understand the dynamics in the graphs. Looking at motifs as atoms of the network is helpful to analyze the relationship between nodes, and between layers. In this work, we suggest a sub-graph enumeration approach to find and count the motifs in multi-layer network. The proposed work has many application in graph mining, particularly to structure and dynamics of complex networks.
Potential clinical applications of exosomes in the diagnosis, treatment, and prognosis of cardiovascular diseases: a narrative review

Background and Objective Cardiovascular diseases (CVDs) have been one of the most common threats to human health in recent decades. At present, despite many diagnostic, prognostic and therapeutic methods being applied in the clinic, the prevalence of CVDs continues to rise. Therefore, new discovery is needed and exosomes have received extensive attention. Exosomes are extracellular vesicles that enable communication between cells. They are widely distributed in biofluids, suggesting that they may be useful in CVD diagnosis and prognosis. Furthermore, exosomes are ideal drug transporters with relatively high transport efficiency and the capability to target different kinds of tissues. However, the present research concentrates, for the most part, on mechanistic studies with less attention to clinical applications. Methods More than 150 relevant scientific articles from databases like PubMed, Web of Science were screened and analysed for this narrative review. Data of clinical trials are collected from clinicaltrials.gov. Key Content and Findings In this review, we concentrate on different exosomes and CVDs, and we summarize the physiological and pathological roles of CVD-related exosomes. We focused on the role exosomes may have as biomarkers of CVDs, therapeutic opportunities, and possible hurdles to the clinical application of exosomes, aiming to provide a useful reference for its translational use in the CVD field. Conclusions Specific changes in exosome cargos (mainly miRNAs and proteins) are in accordance with the occurrence and development of CVDs including acute myocardial infarction (AMI), arrhythmia, coronary artery disease (CAD), heart failure (HF) and cardiomyopathy, therefore meaningful for diagnosis and prognosis of CVDs. For exosome related therapeutic methods, potential ways consist of direct administration of exosomes, targeting on exosome synthesis, processing and release, and working as adjuvants. All in all, exosomes are expected to serve as meaningful tools in the diagnosis, treatment and prognosis of CVDs.
Nurses' Knowledge, Perceived Practice, and their Associated Factors regarding Deep Venous Thrombosis (DVT) Prevention in Amhara Region Comprehensive Specialized Hospitals, Northwest Ethiopia, 2021: A Cross-Sectional Study

Introduction Deep venous thrombosis is a preventable and treatable cause of death among hospitalized patients. Nurses' knowledge and proper assessment can play a major role in improving deep venous thrombosis prevention care. Objective To assess the knowledge, practice, and associated factors towards deep venous thrombosis prevention among nurses working at Amhara region hospitals. Methods Institutional-based cross-sectional study was conducted among nurses working at Amhara region comprehensive specialized hospitals, Northwest, Ethiopia, from April 1 to 30, 2021. A simple random sampling technique was used to select 423 samples. A structured pretested self-administered questionnaire was used to collect data. Data were entered in epi-info version 7, analyzed using SPSS version 25, and presented by frequencies, percentages, and tables. Bivariable and multivariable logistic regression was computed, and P value < 0.05 was considered to identify statistically significant factors. Result Good knowledge and practice of nurses towards DVT prevention were 55.6% and 48.8%, respectively. Working at the medical ward [AOR 3.175, 95% CI (1.42, 7.11)], having a BSc degree [AOR = 3.248(1.245, 8.469)], Master's degree [AOR = 3.48, 95% CI (1.22, 9.89)], obtaining a formal training about deep venous thrombosis [AOR = 1.59; 95% CI (1.03, 2.47)], and working experience of ≥11 years [AOR = 2.11; 95% CI (1.07, 4.16)] were associated with good knowledge of nurses on the prevention of deep venous thrombosis. While having good knowledge about deep venous prevention AOR = 1.75; 95% CI (1.15, 2.65)] and working experience ≥11 years [AOR = 3.44; 95% CI (1.45, 8.13)] were significantly associated with nurses' practice about deep venous thrombosis prevention. Conclusion Knowledge and practice of the nurses regarding the prevention of deep venous thrombosis were found to be inadequate. Therefore, providing training, creating a conducive environment for sharing of experience, and upgrading the academic status of nurses are measures to scale up the knowledge and practice of nurses regarding deep venous thrombosis prevention.
Seeing Sounds: The Role of Vowels and Consonants in Crossmodal Correspondences

Crossmodal correspondences refer to the fact that certain domains of features in different sensory modalities are associated with each other. Here, we investigated the crossmodal correspondences between speech sounds and visual shapes. Specifically, we tested whether the classification dimensions of English vowels (front–central–back) and consonants (voiced–voiceless, sonorant–obstruent, and stop–continuant) correspond to visual shapes along a bipolar rounded–angular dimension. We adapted eighteen meaningless pseudowords from a previous study that corresponded to either the round or the sharp concept. On each trial, the participants heard one of the pseudowords and saw a rounded shape and an angular shape presented side-by-side on the monitor. Participants judged which shape provided a better match to the spoken pseudoword. A logistic regression was conducted in order to elucidate the effectiveness of classification dimensions of phonemes when predicting variations in the sound–shape matchings. The results demonstrated that the sound–shape matchings were predictable using front–central–back dimensions of vowels, and voiced–voiceless and stop–continuant dimensions of consonants. Hence, we verified that sound–shape matching is underpinned by contrasting dimensions in both vowels and consonants, therefore demonstrating crossmodal correspondences at the phonetic level.
Determinants of Different Aspects of Upper-Limb Activity after Stroke

We examined factors associated with different aspects of upper-limb (UL) activity in chronic stroke to better understand and improve UL activity in daily life. Three different aspects of UL activity were represented by four sensor measures: (1) contribution to activity according to activity ratio and magnitude ratio, (2) intensity of activity according to bilateral magnitude, and (3) variability of activity according to variation ratio. We combined data from a Belgian and Danish patient cohort (n = 126) and developed four models to determine associated factors for each sensor measure. Results from standard multiple regression show that motor impairment (Fugl–Meyer assessment) accounted for the largest part of the explained variance in all sensor measures (18–61%), with less motor impairment resulting in higher UL activity values (p < 0.001). Higher activity ratio, magnitude ratio, and variation ratio were further explained by having the dominant hand affected (p < 0.007). Bilateral magnitude had the lowest explained variance (adjusted R2 = 0.376), and higher values were further associated with being young and female. As motor impairment and biological aspects accounted for only one- to two-thirds of the variance in UL activity, rehabilitation including behavioral strategies might be important to increase the different aspects of UL activity.
The Qualitative Simulation System for Enterprise Marketing Decision Process

Firstly the present application of qualitative simulation is summarized . Then based on the hybrid qualitative simulation technology for selection of enterprise marketing strategies ,BP neural network is introduced to solve the problem of grading qualitative effect of factor . The prescription of qualitati vevariables , the reasoning process of hybrid qualitative simulation and the steps of marketingd ecision process are modified and perfected . A prototype system is developed by integrating VFP6 . 0 and Matlab 6 . 10on the basis of simulation experiment.
Ruminating on the past may be bad for you, or is it? Implications of past negative time perspective on job-related stress

Past negative time perspective (PNTP), characterized by rumination on painful past experiences, is generally considered harmful to a person’s well-being. However, there is reason to suspect that a PNTP may not make matters worse if a high PNTP is consistent with culture, as in the case of India. Drawing on the person–culture matching hypothesis, we test the moderating effects of PNTP on the relationship between role stressors and both psychological strain and organizational outcomes among Indian employees in India (n = 253). Two smaller comparison groups of Asian Indians and US-born Americans in the USA were also evaluated to anchor the understanding of the Indians’ score on PNTP. This comparison is particularly important given that pressures of globalization on India’s culture have created a sustained sense of uncertainty for Indians. Results indicate that the mean score on PNTP is greater for Indians than for US-born Americans (n = 56) and US-Indians (n = 69). Furthermore, having a low PNTP intensified the adverse outcomes due to stressors, whereas a high PNTP had no further impact. Findings suggest that although having an overall PNTP is not ideal, not reflecting on past negative events to cope with current stressors could also be problematic within the Indian context where PNTP is normative. Thus, in a PNTP country, a person’s high PNTP has no more adverse effect as stressors increase.
Faraday drift suppression based on dispersion compensation factor and broadband source parameters in a differential fiber optic gyroscope

Abstract. We present an investigation of bias drift caused by the Faraday effect in differential fiber optic gyroscope (DFOG) based on dispersion compensation factor and broadband source (BS) parameters. The theoretical model of bias drift is established and the influence of dispersion compensation factor and BSs on the bias drift is revealed. The DFOG prototype is designed by optimizing the dispersion compensation factor and two BSs parameters. Then, the bias drifts caused by the Faraday effect in the DFOG and the traditional single-source fiber optic gyroscope (SFOG) are tested and compared. The bias drift caused by the axial magnetic field in the DFOG is about 0.0072 deg/h for 1Gs, which is about 1/22 of the SFOG. The bias drift caused by the radial magnetic field is about −0.0059 deg / h for 1Gs, which is about 1/16 of the SFOG. A discovery is that the bias drift caused by the Faraday effect in DFOG can be suppressed by optimizing the dispersion compensation factor and the two BSs parameters.
Suppression of Torque Ripple for Consequent Pole PM Machine by Asymmetric Pole Shaping Method

Consequent-pole (CP) permanent magnet (PM) machines have attracted considerable interest as a means of reducing machine cost through a marked reduction in the volume of PM required to meet a particular torque specification. However, the presence of a large torque ripple that can result from the CPPM structure can hinder their adoption in some applications, especially for the dominant third-order torque ripple. Although several design-specific modifications have been proposed to ameliorate torque ripple, the generalized principles underpinning this behavior have not been fully established. In this article, it will be illustrated that an aggregation of the fluctuations in inductance, back electromotive force, and cogging torque contributes to increased torque ripple. Meanwhile, an asymmetric pole shaping method is proposed to reduce the torque ripple, taking the dominant third-order torque ripple as an example. Both simulated and experimental results of the 12-slot/8-pole prototypes show that compared to the symmetrical pole shaping model and the plain pole model, the proposed asymmetric shaping method is effective in reducing torque ripple.
Model Predictive Control for ARC Motors Using Extended State Observer and Iterative Learning Methods

The arc permanent magnet motor (arc motor) is widely used in large telescope for its high efficiency and high power density. Due to the unique structure, the periodic end torque, cogging torque and flux harmonics will cause certain speed ripples which can affect the performance of the drive system. To solve these problems, the paper proposes a novel model predictive control (MPC) based on extended state observer and iterative learning control, where the MPC is equipped in speed loop and the disturbances estimated by the conventional extended state observer (ESO) are fed forward to the controller to improve the ability of disturbance rejection. A position dependent iterative learning control (ILC) is used to estimate the periodic disturbances at different speeds. The MPC calculates the q axis current reference with the compensation of ESO and ILC, which can have a fast response and disturbance rejection ability for periodic and nonperiodic disturbances. The stability of the proposed method is demonstrated by theoretical analysis. The experimental results validate the effectiveness of the proposed method at different speeds.
Study of Measurement Program to Points Cloud Data of Complex Surface Based on Three-coordinate Measurement Machine

Adapted three-coordinate measurement machine to obtain coordinate data of complex surface,ana- lysis and study has been done to the measurement program,some methods are given ,such as:Establishing fi- gure-based coordinate,surface patch measuring,filling up hole and slot characteristic,samples'density choos- ing,surface boundary measuring.
Performance of voice over IP on the WCDMA radio interface with the robust header compression scheme

In this paper, the protocol performance of the Voice over IP (VoIP) packet service on the WCDMA radio transport channels is studied. In a packet network, the transport channels between the mobile stations and the radio access network may carry radio bearers with different delay, throughput and quality of service requirements. Voice transmission over the packet network has two key characteristics. First, the quality of service for VoIP needs strict delay requirements for every packet, and the delay variation of the packets should not be extensively high. Secondly, the packet overhead is very large, because of the IP and UDP network headers and the RTP protocol headers present in every packet. This overhead is crucial especially for radio transmission as every bit is known to consume the scarce radio resources. A header compression scheme will significantly reduce the amount of overhead as the static fields of the network headers are needed only at the call setup time to form the context for the compressor-decompressor operation. During the call, it is necessary to send only the difference information of the changing fields, like the RTP timestamp. This enables significant compression ratios to yield headers of mean size less than two to three bytes. In this paper, we have analysed the capabilities to transport VoIP packets on a circuit-switched radio bearer and on a packet-switched radio bearer carried on the dedicated transport channel in a WCDMA cell. A special study was carried out to find out, whether the downlink transport is more efficient in the downlink shared channel compared to the dedicated channel. The analysis is represented in terms of delay, throughput and packet error ratio.
EFFECT OF AUDITING SKILLS ON SMALL BUSINESS PERFORMANCE: A STUDY OF SMALL BUSINESSES IN ANAMBRA STATE, NIGERIA

Small and medium-scale enterprise is a ubiquitous part of the business world. SMEs have been widely implicated in the growth and development of the Nigerian economy. However, the sector has been fraught with several challenges. Indeed, financial management is one of the primary limitations associated with the collapse and underperformance of small businesses. Thus, the present study aimed to investigate the performance of SMEs in the Anambra State of Nigeria based on auditing skills. The study adopted a cross-sectional survey. A total of seventy-nine small and medium-scale operators were randomly selected from the Onitsha business hub participated in the study. A self-developed instrument was used as a measure. Simple linear regression analysis was used for data analysis, and it was found that auditing skills significantly predicted SME performance. Implications and recommendations are discussed.
Biological Network, Gene Regulatory Network Inference Using Causal Inference Approach

In system biology inference from gene regulatory network (GRN) is a challenging task. There exist different computational techniques to analyze the causal relationships between the pair of genes and to understand the significance of causal relationship in gene regulatory network. The DREAM4 insilico network structure and insilico gene expression time series dataset of DREAM challenge dataset is examined. This gene expression dataset of insilico of size 10 is analyzed for inferring causal relationships of the GRN inference. The analysis of dataset showing the gene expression data values are varying with respect to time. The paper focused on the different models of causal inference approach, Genetic Algorithm framework for the GRN inference. In this dataset, values associated with genes are analyzed using the Granger causality test and clustering to analyze the correlation and interaction or causal relationships among genes. The objective behind analysis and inferring causal information in the GRN is to reveal the study on gene activities to achieve more biological insights.
Design of Coaxial Sensor for Dielectric Measurement of Biological Tissues Below 100 MHz Frequency Range

The objective of this study is to design a coaxial sensor for the dielectric measurement of biological tissues below 100 MHz with reasonable uncertainty. To do this, the dimensions of the coaxial sensor were determined by estimating the measurement uncertainty on the basis of sensitivity analysis and adopting the specifications of the measurement equipment as the sources of uncertainty. A fabricated sensor was used for the dielectric measurement of porcine muscle, and the results of the uncertainty analysis demonstrated that the measurement can be conducted within a standard uncertainty of 1% from 1 to 100 MHz.