Miracle-dz/UniFAR-FTUs huggingface dataset:
SIRT5 is a proviral factor that interacts with SARS-CoV-2 Nsp14 protein

SARS-CoV-2 non-structural protein Nsp14 is a highly conserved enzyme necessary for viral replication. Nsp14 forms a stable complex with non-structural protein Nsp10 and exhibits exoribonuclease and N7-methyltransferase activities. Protein-interactome studies identified human sirtuin 5 (SIRT5) as a putative binding partner of Nsp14. SIRT5 is an NAD-dependent protein deacylase critical for cellular metabolism that removes succinyl and malonyl groups from lysine residues. Here we investigated the nature of this interaction and the role of SIRT5 during SARS-CoV-2 infection. We showed that SIRT5 stably interacts with Nsp14, but not with Nsp10, suggesting that SIRT5 and Nsp10 are parts of separate complexes. We found that SIRT5 catalytic domain is necessary for the interaction with Nsp14, but that Nsp14 does not appear to be directly deacylated by SIRT5. Furthermore, knock-out of SIRT5 or treatment with specific SIRT5 inhibitors reduced SARS-CoV-2 viral levels in cell-culture experiments. SIRT5 knock-out cells expressed higher basal levels of innate immunity markers and mounted a stronger antiviral response. Our results indicate that SIRT5 is a proviral factor necessary for efficient viral replication, which opens novel avenues for therapeutic interventions.
Fish Liver Discards as a Source of Long-Chain Omega-3 Polyunsaturated Fatty Acids

The intake of omega-3 polyunsaturated fatty acids (PUFA) of the average consumer is generally low, and products such as fish oils high in omega-3 PUFA have become popular dietary supplements. There is a need for more sources of omega-3 PUFA to cover the increasing demand. This study investigated whether livers from different lean fish species could be a potential new source of oils rich in omega-3 PUFA. The seasonal variation in lipid content, fatty acid composition, peroxide value and free fatty acid content (FFA) of livers from cod, hake, ling, coalfish and monkfish was determined, and the effect of storage conditions on the fishing vessel (ice vs frozen) was studied. Generally, the lipid content and composition of the livers from the five fish species varied similarly during the two years of the sampling period, with significantly lower values in spring (March, April) and higher values in fall (October, November). Storage conditions were found to have no significant effect on the quality and oil composition. Monkfish livers were less suitable for production of omega-3 oil due to their lower lipid and EPA content as well as higher FFA levels. Coalfish had higher fluctuations in oil composition during the sampling period, which potentially makes a standardised quality difficult to obtain. Cod, hake and ling were the most suitable species for fish liver oil production.
An extension of the codas method based on Interval Rough Numbers for multi-criteria group decision making

This study aims to develop a new Interval Rough COmbinative Distance-based Assessment (IR CODAS) method for handling multiple criteria group decision making problems using linguistic terms. A single decision maker is unable to express his opinions or preferences on multiple criteria decisions, while a Multi-Criteria Group Decision Making MCGDM process ensures successful outcomes when handling greater imprecision and vagueness information. A real-life case study of risk assessment is investigated using our proposed IR-CODAS method to test and validate its application; a sensitivity analysis is also performed. Keywords: Interval Rough Numbers, group decision making, IR-CODAS method, risk assessment.
Method of Air Temperature Forecast in Mechanized Longwall Workings in the Conditions of Vietnamese Mines

In the most recent years, the Vietnam National Coal - Mineral Industries Holding CorporationLimited (VINACOMIN) has been dynamically developing mechanization technologies in undergroundcoal mines. The climatic conditions of Vietnam, as well as increasing the depth of the coal seams and theproduction capacity, contribute to an air temperature increasing in mining excavations. The articlepresents statistical equations enabling air temperature forecasting at the outlet of mechanized longwallworkings. The results of numerical calculations, obtained from the solutions of the adopted mathematicaldescriptions, were compared with the measurement results and the statistical significance of the obtaineddeviations was determined. The performed analysis allowed to assess the practical usefulness of theadopted model for the air temperature forecasting in the workings of mechanized underground mines inVietnam. The presented method can be used as a tool for mining services in the fight against the climatethreat in underground excavations.
An Analysis of Determining the Most Valuable Company Based on Financial Analysis and Principal Component Analysis Methods

There are four profitable and valuable companies, Oshkosh Corporation, Intel Corporation, Arena Pharmaceutical Inc., and the Walt Disney Company, and we are choosing the most valuable one for investors to invest in. Among these four companies, the most valuable one should be determined carefully. This paper provides a comprehensive analysis and evaluation framework for investors to determine the best performing and valuable stock for investment. We study the financial performance and profitability of the four companies from two perspectives: core financial factors and the Principle Component Analysis measuring method. In this study, we calculate and analyze the cheapness, sales growth, profitability, and dividends of each company, and make a decision of the best performing company in each perspective. The result leads to our conclusion that the overall best performing company is Oshkosh Corporation. In addition, this paper further analyzes four companies’ performance by the Principle Component Analysis method in order to examine and strengthen our previous finding that Oshkosh Corporation is the most valuable company for investors to invest in.
Prudential Regulations and Profitability: Empirical Evidence from Microfinance Banks in Kenya

Microfinance banks carry out important roles in the economic growth and development of countries. In order to protect depositors, governments have introduced legislations and regulations to guide the activities of Microfinance banks. Over the years in Kenya, several regulations have been put in place by the Central Bank. However, the underlying argument is whether prudential regulations significantly contribute to the profitability of Microfinance banks in Kenya. In view of this, the study sought to examine the effect of prudential regulations on profitability of Microfinance Banks in Kenya. Agency Theory and Capital Buffer Theory were adopted to support the relationship between prudential regulations and profitability. Descriptive analysis and panel regression analysis were applied in the study. The hypotheses testing were based on the threshold of 0.05 significance level. It was found that capital regulation and liquidity regulation had insignificant effect on profitability of Microfinance Banks in Kenya. The study established that credit regulation had significant effect (β=-5.016 and p-value=0.038) on profitability of Microfinance Banks in Kenya. The study recommends that the managers of Microfinance banks in Kenya should tighten their credit risk management through effective assessment and monitoring. This will in turn reduce the rate of non-performing as well as the bad debts written-off against profits. The study suggests that further research can be done on the effect of capital regulation and liquidity regulation on profitability of Microfinance Banks in Kenya. Through this, the insignificant effect of capital regulation and liquidity regulation on profitability can be probed or further examined which can be based on different methodology such as time period and/or measures of variables. specific objective to determine the effect of capital regulation on financial stability of Microfinance in A corresponding null significant effect on profitability of Microfinance Banks in Kenya was formulated and tested. The regression indicates This implies capital on profitability of Microfinance null hypothesis was upheld at 0.05 significance level. The study suggests that further research can be done on the effect of capital regulation and liquidity regulation on profitability of Microfinance Banks in Kenya. Through this, the insignificant effect of capital regulation and liquidity regulation on profitability can be probed or further examined which can be based on different methodology such as time period and/or measures of variables.
Machine Learning and Deep Learning Techniques for IoT-based Intrusion Detection Systems: A Literature Review

Purpose: The authors attempt to examine the work done in the area of Intrusion Detection System in IoT utilizing Machine Learning/Deep Learning technique and various accessible datasets for IoT security in this review of literature. Methodology: The papers in this study were published between 2014 and 2021 and dealt with the use of IDS in IoT security. Various databases such as IEEE, Wiley, Science Direct, MDPI, and others were searched for this purpose, and shortlisted articles used Machine Learning and Deep Learning techniques to handle various IoT vulnerabilities. Findings/Result: In the past few years, the IDS has grown in popularity as a result of their robustness. The main idea behind intrusion detection systems is to detect intruders in a given region. An intruder is a host that tries to connect to other nodes without permission in the world of the Internet of Things. In the field of IDS, there is a research gap. Different ML/DL techniques are used for IDS in IoT. But it does not properly deal with complexity issues. Also, these techniques are limited to some attacks, and it does not provide high accuracy. Originality: A review had been executed from various research works available from online databases and based on the survey derived a structure for the future study. Paper Type: Literature Review.
An Efficient Service Function Chains Orchestration Algorithm for Mobile Edge Computing

The dynamic network state and the mobility of the terminals make the service function chain (SFC) orchestration mechanisms based on static and deterministic assumptions hard to be applied in SDN/NFV mobile edge computing networks. Designing dynamic and online SFC orchestration mechanism can greatly improve the execution efficiency of compute-intensive and resource-hungry applications in mobile edge computing networks. In order to increase the overall profit of service provider and reduce the resource cost, the system running time is divided into a sequence of time slots and a dynamic orchestration scheme based on an improved column generation algorithm is proposed in each slot. Firstly, the SFC dynamic orchestration problem is formulated as an integer linear programming (ILP) model based on layered graph. Then, in order to reduce the computation costs, a column generation model is used to simplify the ILP model. Finally, a two-stage heuristic algorithm based on greedy strategy is proposed. Four metrics are defined and the performance of the proposed algorithm is evaluated based on simulation. The results show that our proposal significantly provides more than 30% reduction of run time and about 12% improvement in service deployment success ratio compared to the Viterbi algorithm based mechanism.
A review of electrochemical biosensor application in the detection of the SARS‐COV‐2

With the rapid spread and proliferation of Coronavirus disease 2019 (COVID-19) worldwide, highly pathogenic severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) seriously threatens human life and health. The rapid and accurate abilities to detect SARS-CoV-2 have become the key to prevent and control COVID-19. Electrochemical sensors have shown broad application prospects in biological detection because of the advantages of high sensitivity, specificity, and short time-consuming. This review summarizes the application of electrochemical biosensors in detecting SARS-CoV-2 and discusses prospects for developing direction in this field.
Bibliometric analysis of recent research on 5-Fluorouracil (2015–2020)

Cancer is one of the most widespread diseases in the world and causes millions of deaths every year. Currently, there are several anticancer treatments to deal with the different types of cancer reported around the world. However, most of them have both side effects and low selectivity to malignant cells. 5-Fluorouracil (5-FU) is used as firstline treatment against several types of cancer. Recently, hybrid and derivative molecules based on 5-FU have been reported as anticancer with high/modest activity, leading to a new and emerging therapy to treat cancer. The aim of this study was to carry out a bibliometric analysis of studies related to 5-FU in the field of chemistry. Data collection was carried out using the Scopus database, and VOSviewer 1.6. 13 was used for data analysis and visualization. “5-Fluorouracil” was the term used in the search during a time span of 2015–2020. A total of 1,025 documents related to 5-FU were indexed in Scopus between 2015 and 2020, both included. Articles and reviews related to 5-FU have increased during the period of 2015–2020, starting and ending with 137 and 241 studies, respectively. The main areas, excluding chemistry, were (i) Biochemistry, Genetics, and Molecular Biology; (ii) Chemical Engineering; and (iii) Materials Science. Within these areas, the studies were focused on drug delivery, synthesis of anticancer compounds and their activity, molecular simulation, treatment of cancer cells, and drug resistance. Finally, the most productive countries on studies related to 5-FU, which also had the most robust collaboration network, were China, India, and the United States.
Quantile-Specific Heritability of Inflammatory and Oxidative Stress Biomarkers Linked to Cardiovascular Disease

Purpose Heritability (h2, the proportion of the phenotypic variance attributable to additive genetic effects) is traditionally assumed to be constant throughout the distribution of the phenotype. However, the heritabilities of circulating C-reactive protein, interleukin-6, plasminogen activator inhibitor type-1 (PAI-1), and monocyte chemoattractant protein-1 (MCP-1) concentrations depend upon whether the phenotype is high or low relative to their distributions (quantile-dependent expressivity), which may account for apparent gene–environment interactions. Whether the heritabilities of other inflammatory biomarkers linked to cardiovascular disease are quantile-dependent remain to be determined. Patients and Methods Quantile-specific offspring-parent (βOP) and full-sib regression slopes (βFS) were estimated by applying quantile regression to the age- and sex-adjusted phenotypes of families surveyed as part of the Framingham Heart Study. Quantile-specific heritabilities were calculated as: h2=2βOP/(1+rspouse) and h2={(1+8rspouseβFS)0.5–1}/(2rspouse). Results Heritability (h2 ± SE) of lipoprotein-associated phospholipase A2 (Lp-PLA2) mass concentrations increased from 0.11 ± 0.03 at the 10th percentile, 0.08 ± 0.03 at the 25th, 0.12 ± 0.03 at the 50th, 0.20 ± 0.04 at the 75th, and 0.26 ± 0.06 at the 90th percentile, or 0.0023 ± 0.0006 per each one-percent increase in the phenotype distribution (Plinear trend= 0.0004). Similarly, h2 increased 0.0029 ± 0.0011 (Plinear trend= 0.01) for sP-selectin, 0.0032 ± 0.0009 (Plinear trend= 0.0001) for soluble intercellular adhesion molecule 1 (sICAM-1), and 0.0026 ± 0.0006 for tumor necrosis factor receptor 2 (TNFR2) (Plinear trend= 5.0 × 10−6) per each one-percent increase in their distributions when estimated from βOP. Osteoprotegerin and soluble ST2 heritability also increased significantly with increasing percentiles of their distributions when estimated from βFS. Lp-PLA2 activity, CD40 ligand, TNFα, interleukin-18, and myeloperoxidase heritability showed no significant quantile-dependence. Conclusion The heritabilities of circulating Lp-PLA2-mass, sP-selectin, sICAM-1, TNFR2, osteoprotegerin and soluble ST2 concentrations are quantile-dependent, which may contribute to purported genetic modulations of: 1) sP-selectin’s relationships to venous thrombosis, pulmonary hypertension, type 2 diabetes and atorvastatin treatment; 2) sICAM-I’s relationships to brain abscess and atorvastatin treatment; and 3) Lp-PLA2’s relationships to myocardial infarction and preeclampsia.
Development of Modify Random Waypoint Mobility Model of Routing Protocol for the Mobile Ad-Hoc Network

Mobility models are used to evaluated the network protocols of the ad hoc network using the simulation. The random waypoint model is a model for mobility which is usually used for performance evaluation of ad-hoc mobile network. Mobile nodes have the dynamic mobility in the ad hoc network so the mobility model plays an important role to evaluate the protocol performance.In this article, we developed modify random waypoint mobility (MRWM) model based on random waypoint for the mobile ad hoc network. In this article, the comparative analysis of modifying random waypoint mobility and random waypoint model on the ad hoc On-Demand Distance Vector (AODV) routing protocol has been done for large wireless ad hoc network (100 nodes) with the random mobile environment for the 1800s simulation time. To enhance the confidence on the protocol widespread simulations were accomplished under heavy traffic (i.e. 80 nodes) condition. The proposed model protocol has been investigated with the performance metrics: throughput; packet delivery ratio; packet dropping ratio; the end to end delay and normalized routing overhead. The obtained results revealed that proposed modify random waypoint mobility model reduces the mobility as compared to the random waypoint mobility model and it is trace is more realist.
Self-medication among Saudi students and adolescents: a systematic review

Self-medication (SM) involves the administration of medication to treat symptoms or complications with no medical prescription, depending on the experience or knowledge of the individual. SM can result in severe consequences due to allergy to medications and medication interactions that the individual does not know. The present study aimed at assessing the prevalence and practice of SM among Saudi students and adolescents by reviewing the previous Saudi studies conducted on this subject. The medical literature explored PubMed and Google scholar databases from 2015 to 2021. The included searching terms were a combination of “SM and Saudi students,” “SM and Prevalence,” “SM and Saudi Adolescents,” and “Saudi prevalence and SM. ” The inclusion criteria included original articles conducted on Saudi students and adolescents and full text articles. A total of 70 articles were obtained. Only nine articles were eligible for the inclusion criteria. The nine studies included a total number of 3,265 participants and covered seven regions of Saudi Arabia. Analgesics were the most commonly used medication, and the main cause for SM was a headache, whereas the significant purpose of practicing SM was saving time. SM is highly prevalent and practiced by Saudi students and adolescents; practicing SM was also high regardless of the participants’ specialty; it was also high among medical students.
PARP1 Upregulation in Recurrent Oral Cancer and Treatment Resistance

First-line treatments for oral cancer typically include surgery, radiation, and in some cases, chemotherapy. Radiation and oral cancer chemotherapeutics confer cytotoxicity largely by inducing DNA damage, underscoring the importance of the cellular DNA damage repair and response pathways in cancer therapy. However, tumor recurrence and acquired resistance, following the initial response to treatment, remains as a major clinical challenge. By analyzing oral tumor cells derived from the primary and recurrent tumors of the same patient, our study revealed upregulated PARP1 expression in the recurrent tumor cells. Cisplatin and 5-fluorouracil treatment further augmented PARP1 expression in the recurrent, but not the primary, tumor cells. Post-treatment upregulation of PARP1 was dependent on the catalytic activities of PARP and CDK7. Consistent with the established function of PARP1 in DNA repair, we showed that overexpression of PARP1 rendered the primary tumor cells highly resistant to DNA damage treatment. Conversely, PARP inhibition partially reversed the treatment resistance in the recurrent tumor cells; combinatorial treatment using a PARP inhibitor and cisplatin/5-fluorouracil significantly sensitized the tumor response in vivo. Taken together, we reported here PARP1 upregulation as a clinically relevant mechanism involved in oral cancer recurrence, and suggested the clinical benefit of PARP inhibitors, currently approved for the treatment of several other types of cancer, in oral cancer.
Car Sim-based Automotive Steer-By-Wire( SBW) System Steering Feeling Simulation and Performance Research

Steering feeling simulation is a key technology of a Steering-By-Wire system( SBW). Using the front wheel positioning parameters and speed to establish the computing aligning torque of the system,and steering simulation strategies are designed with a correcting algorithm,with a steering wheel aligning torque model established in MATLAB/Simulink.The joint simulation under different working conditions is conducted through S-function interface and vehicle dynamic simulation software Car Sim.The comparison with traditional mechanical steering vehicles and analysis show that the simulation results meet the basic requirements of the steering system and superior to mechanical steering systems.
Developing an Instrument for Measuring Student Motivation among High Schools in Educational Jordan Context

This study aims to enhance the literature by validating every item and making it reliable of student motivation (SM) construct through the Exploratory Factor Analysis (EFA). Toward Jordan’s educational sector, measuring instrument from the literature was adapted by the researcher for the sake of latent construct, and the items were modified to suit the study. To establish (SM) construct reliable instrument, a cross-sectional research design was employed in the study. IBM-SPSS Version 21.0 was used to analyze the data, and a structured questionnaire from 100 students was utilized. It was subsequently revealed by the research outcome that the construct achieved validity and reliability tests and each item was maintained as it suits (SM) construct measurement. Thus, a suitable, reliable, and validated instrument has been established for (SM) construct measurement among high public schools in the Jordan educational sector. Therefore, the current research's findings provide a reliable source of information to further researchers, teachers, administries, academicians, and decision-makers of student Motivation in the Jordan Context
Using textual volunteered geographic information to model nature-based activities: A case study from Aotearoa New Zealand

A boom in volunteered geographic information has led to extensive data-driven exploration and modeling of places. While many studies have used such data to explore human-environment interaction in urban settings, few have investigated natural, non-urban settings. To address this gap, this study systematically explores the content of online reviews of nature-based recreation activities, and develops a fine-grained hierarchical model that includes 28 aspects grouped into three main domains: activity, settings, and emotions/cognition. It further demonstrates how the model can be used to explore the variation in recreation experiences across activities, setting the stage for the analysis of the spatio-temporal variations in recreation experiences in the future. Importantly, the study provides an annotated corpus that can be used as a training dataset for developing methods to automatically capture aspects of recreation experiences in texts.