Miracle-dz/UniFAR-FTUs huggingface dataset:
CSDVP: Compressed Sensing for Drug-Virus Prediction

The 2019 Coronavirus (COVID-19) epidemic has recently hit most countries hard. Therefore, many researchers around the world are looking for a way to control this virus. Examining existing medications and using them to prevent this epidemic can be helpful. Drug repositioning solutions can be effective because designing and discovering a drug can be very time-consuming. Although no drug has been definitively approved for the treatment of this disease, the effectiveness of a few drugs for the treatment of the disease has been observed. In this study, with the help of computational matrix factorization methods, the associations between drugs and viruses have been predicted. By combining the similarities between the drugs and the similarities between the viruses and using the compressed sensing technique, we investigated the association between the drug and the virus. The Compressed Sensing approach to Drug-Virus Prediction (CSDVP) can work well. We compared the proposed method with other methods in this field and found its accuracy is more desirable than other methods. In fact, the CSDVP approach with the Human drug virus database (HDVD) and evaluation through 5-fold CV, with AUC = 0.87 and AUPR = 0.37, can identify the relationship between drugs and viruses. We also investigated the effect of drug properties on model performance improvement using autoencoder. Thus, with each decrease in the size of the characteristics in different sizes, we examined the performance of the CSDVP model in predicting the drug-virus relationship. The relationship between drugs and coronavirus infection is also analyzed, and the results are presented.
Students’ Digital Literacy Competence and English Study Habits

Digital literacy competence is an excellent choice as it promotes a more exciting and contextual instruction process. This research explores and reveals the students' profile of digital literacy competence and English learning habits. This study surveyed 402 students from Universitas Katolik Indonesia Santu Paulus Ruteng. A questionnaire was used to collect data, which was then quantitatively and qualitatively analyzed. According to the findings, students’ digital literacy competence included in the medium category (3,76). Three main digital competencies indicated this category; students' information literacy competence was in the medium category (3,9), media was in the medium category (3,6), and ICT competence was in the medium category (3,78). English learning habits were also classified as high level, as shown by six learning habits: a review of the material, 77,61%, self-evaluation, 92,29%, summaries the material, 80,10%, do exercises, 73,88%, map priority, 88,56%, and have a fixed schedule, 81,59%.
Effects of Ethanol on the Supercritical Carbon Dioxide Extraction of Cannabinoids from Near Equimolar (THC and CBD Balanced) Cannabis Flower

In this study, supercritical carbon dioxide (scCO2) extractions of cannabinoids were conducted at four different densities (231, 590, 818, and 911 kg/m3) using ethanol (5% w/v) as a co-solvent. The chemical profiles of these cannabinoids were analysed via reverse-phase high-performance liquid chromatography (RP-HPLC). It was determined that scCO2, at low density (231 kg/m3), produced an extract yield of 6.1% w/v. At high scCO2 density (~818 kg/m3), the yield was 16.1% w/v. More specifically, the amounts of tetrahydrocannabinol (THC) and cannabidiol (CBD) in the scCO2 extract at 818 kg/m3 were 10.8 and 15.6% w/v, respectively. It was also found that the use of 5% w/v ethanol increased scCO2 extract yields at both low and high densities (7.6% w/v and 18.2% w/v, respectively). Additionally, the use of co-solvent increased this yield further under both low- and high-density conditions, to 13.7 and 19.1% w/v, respectively. Interestingly, higher scCO2 density (911 kg/m3) with and without ethanol did not improve the scCO2 extract yield or the amount of cannabinoids. Although this study provides new insights into the correlation between scCO2 density and ethanol co-extraction of CBD and THC, more studies are needed to determine how different scCO2 densities and co-solvents influence the extraction of cannabinoids.
Phylogenetic relationships amongst the snake-eyed lizards of the genus Ablepharus Fitzinger, 1823 (Sauria, Scincidae) in the Iranian Plateau based on mtDNA sequences

We recovered molecular phylogenetic relationships amongst species of the genus Ablepharus in Iran and Iraq. Partial sequences of three mitochondrial genes (cytochrome C oxidase subunit I – COI, 12S rRNA and 16S rRNA) were analysed. In addition, phylogenetic relationships and taxonomic evaluation of Ablepharus species in Cyprus, India, Greece, Turkey and Syria were performed using partial sequences of the 16S rRNA gene. Phylogenetic trees and estimated genetic distances showed that the Ablepharus populations of Iran and Iraq clustered into three distinct clades. One is found in northwest Iran (A. bivittatus in Ardabil, East and West Azerbaijan and Hamedan Provinces). The second clade, formed by A. chernovi, is found only in Uromia. The third and most heterogeneous clade is divided into two subclades, the first includes two lineages of Ablepharus in Khorasan Razavi and Semnan Provinces (A. pannonicus) and in eastern and south-eastern Iran (A. grayanus); the second subclade is distributed in the eastern part of Iraq and west and south-western Iran (Ablepharus sp.). Our analyses indicated that splitting of A. chernovi within the genus occurred in the early Miocene [about 22.5 million years ago (Mya)]. Ablepharus bivittatus diverged 15.2 Mya, in the middle Miocene. Ablepharus pannonicus diverged in the late Miocene (8.4 Mya) and A. grayanus separated in the late Miocene (6.7 Mya). The lineages of eastern Iraq and south-western Iran (Ablepharus sp.) diverged also in the late Miocene (7.0 Mya).
Betel Quid, Smoking and Alcohol Dependency among Patients with Oral Potentially Malignant Disorders and Oral Cancer in Sri Lanka; A Preliminary Case-control Study

Introduction: Oral cancer and Oral Potentially Malignant Disorders (OPMDs) arising due to risk habits like betel quid (BQ) chewing, smoking and alcohol use are preventable despite the high prevalence and poor survival rates. However, dependence to risk habits has become a barrier to prevent OPMDs and oral cancer. Objectives: This study was conducted to determine the dependence to risk habits among patients with such oral lesions, and the quitting among dependent users after diagnosis. Materials and method: A case-control study was conducted among 100 participants, 50 diagnosed with OPMDs and oral cancer from two Oral and Maxillo Facial clinics in Sri Lanka and a similar control group without any oral lesions. All participants practiced one or more risk habits such as BQ chewing, smoking and/or alcohol use. Dependence was assessed using Sinhala language translations of standardized scales such as Betel Quid Dependence Scale for BQ chewers, Fagerstrom Test for Nicotine Dependence for tobacco smokers and CAGE (“Cut down”, “Annoyed”, “Guilty” and “Eye opener”) scale for alcohol users. Results: Dependence on habits was more among the case group (BQ-93%; smoking-14%; alcohol-66%). Quitting rates of BQ and alcohol among those who were diagnosed with oral cancer [BQ (89%), alcohol (89%)] were higher (p<0.05) than those with OPMDs [BQ (50%), alcohol (22%)]. Lack of awareness due to low socio-economic status (97%) was a significant association for BQ dependence (p=0.01). Conclusion: In conclusion, development of OPMDs and oral cancer increases with dependence to BQ chewing, smoking and alcohol use. Increased awareness about OPMDs and its risk of malignancy is needed among public. Prevention of dependence to these risk habits also becomes essential.
Factors Limiting the Development of the Organic Food Sector—Perspective of Processors, Distributors, and Retailers

Our study aimed to explore the factors limiting the development of the organic food sector in Poland from the perspective of processing, distributing, and retailing companies. We used a qualitative approach with in-depth semi-structured interviews with the management board representatives of 17 large- and medium-sized enterprises and the owners of 10 small and medium companies. The potential limiting factors, including legal, economic, technological, and environmental factors, were identified by reviewing the corporate and market reports of processing and retailing companies operating in the Polish organic sector. We used a thematic analysis recommended in the literature to analyze qualitative data. The main factors indicated by the managers were the legal concerns, limitations resulting from a lack of constant supply of organic raw materials, and increased competition on domestic and international markets. In addition, business activities in the Polish organic sector were affected by the instability of the financial situation in terms of financial liquidity, adequate cost, capital structure, and credits. The results of the study may be of value for policymakers to ensure sustainable development of the organic food sector in Poland.
A Robust ROS Generation Strategy for Enhanced Chemodynamic/Photodynamic Therapy via H2O2/O2 Self‐Supply and Ca2+ Overloading

The efficacy of cancer therapy with reactive oxygen species (ROS) as the main therapeutic medium suffers from a deficiency of oxy‐substrates, for example, insufficient endogenous hydrogen peroxide (H2O2) in chemodynamic therapy (CDT) and inherent hypoxia in photodynamic therapy (PDT). Herein, a smart polyethylene glycol (PEG)‐ylated nanosystem CaO2@ZIF‐Fe/Ce6@PEG (abbreviation as CaZFCP) is constructed to achieve H2O2/O2 self‐supply and Ca2+ overloading in tumor cells simultaneously for enhanced CDT/PDT. Under the weakly acidic tumor microenvironment, the activity components inside CaZFCP, that is, CaO2 nanoparticles, Fe2+, and photosensitizer Chlorin e6 (Ce6) are released by the degradation of zeolitic imidazole framework‐90 (ZIF‐90). Thereinto, CaO2 nanoparticles are further decomposed to generate H2O2 and O2, which alleviates both the insufficient endogenous H2O2 and hypoxia in tumor area, thus enhancing the efficiency of CDT and PDT by producing more hydroxyl radicals and singlet oxygen. Furthermore, Ca2+ overloading induced by the decomposition of CaO2 is available for amplifying intracellular oxidative stress, resulting in mitochondrial dysfunction, which further improves the efficacy of combined CDT/PDT. In vitro and in vivo experimental results confirm excellent tumor inhibition effect, which also provides a facile paradigm in ROS‐involved cancer therapies.
La gestion fiscale dans les petites et moyennes entreprises au Cameroun : État des lieux

This research is registered within the framework of a study based on the reality check of tax management in Small and Medium size Enterprises in Cameroon. Via an exploratory study with accountants and tax agents of Small and Medium size Enterprises based in Cameroon, this work seeks to apprehend the notion of tax management in a general manner and insists on the specificities linked to this management in Small and Medium size Enterprises. Furthermore, this study puts in place the problems complexity in the tax system, frequent changes in tax prescriptions, the lack of a tax culture by enterprise directors linked to the practice of tax management in enterprises. Finally, this work supplies the recommendations which permit a healthy tax management. These recommendations are amongst others the training and recycling of accountants charged with tax questions, participation in seminars and workshops and finally evaluation and adequation of tax choices to the general policy of the enterprise.
Analgesic Effect of Boiogito, a Japanese Traditional Kampo Medicine, on Post-Traumatic Knee Osteoarthritis through Inhibition of ERK1/2 Phosphorylation in the Dorsal Horn of the Spinal Cord

Boiogito (BO), a Japanese traditional herbal medicine, has been proven to be clinically effective against knee osteoarthritis (KOA)-associated pain. However, the therapeutic mechanism of BO remains unclear. Thus, we investigated the analgesic mechanism of BO using a rat KOA model. KOA was induced by destabilization of the medial meniscus (DMM). Rats were allocated into the following four groups: control, sham, DMM, and DMM + BO groups. Rotarod test was performed to evaluate the pain-related locomotive dysfunction. Expression of phosphorylated extracellular signal-regulated kinase1/2 (pERK1/2) in the spinal dorsal horn was examined using immunofluorescence staining and Western blotting on days 1 and 28 after DMM surgery. A mitogen-activated protein kinase inhibitor, U0126, was intrathecally injected and rotarod test and Western blotting were performed. The rotarod test revealed hampered locomotive function in the DMM group, which was significantly improved upon BO administration. The number of pERK1/2-positive cells was increased in the DMM group, whereas it was significantly decreased in the DMM + BO group. U0126 significantly inhibited ERK1/2 phosphorylation and increased walking time in the rotarod test, suggesting that the DMM-related pain was associated with ERK1/2 phosphorylation in the spinal dorsal horn. In conclusion, BO administration improved the pain-related locomotive dysfunction by suppressing ERK1/2 phosphorylation.
The Project Manager “Interfaces” in a Crisis Scenario

A crisis induces Project Managers to use, increasingly, a specific “language” that is born from the union of two dimensions, technical-operative modalities and the mindset. The goal is to properly react to the crisis, like a pandemic scenario will. This approach directly involves the usage of “triad” (Reaction-Execution-Results) and micro-goals concepts in order to maximize the effectiveness and efficiency of the Project Manager actions within time windows. Project management is one of most important discipline in a company, especially where the project is the soul of the business and the center of the employees’ dynamic. This paper focuses on the “interfaces” between project management and other company functions. It analyzes how the “language” could induce reaction behavior based on the time-constraints and micro-goal modus operandi and how the company dynamic could change its behavioral habits towards the same common company purpose: the success of projects.
New insights into the late Middle Stone Age occupation of Oued el Akarit, southern Tunisia

Abstract This article reports on a new project to investigate the activities of early Homo sapiens in the area of the Chotts ‘megalake’ in southern Tunisia. Excavations in 2015 and 2019 at Oued el Akarit revealed one of a number of Middle Stone Age (MSA) horizons near the top of a long sequence of Upper Pleistocene deposits. The site identified as Oued el Akarit (Sondage 8) consists of lithic artefacts, bone fragments of large ungulates and pieces of ostrich eggshell. Many of the objects are burnt. Excavation of about nine square metres revealed that these were associated with a lightly trampled and combusted occupation surface. Amongst the identified artefacts were Levallois flakes some of which could be refitted, thereby indicating the generally undisturbed nature of the occupation. The lithic finds also included side scrapers and other tools diagnostic of the MSA but significantly no bifacial or tanged tools. OSL (Optically Stimulated Luminescence) dating of the sediments and AMS (Accelerator Mass Spectrometry) radiocarbon dating of ostrich eggshell have produced uncalibrated age determinations in the range 37,000–40,000 years ago, one of the youngest ages for MSA sites in the region. This is the first example of a securely dated later MSA occupation in a riparian environment in south-eastern Tunisia.
Everyday Geography and Service Accessibility: The Contours of Disadvantage in Relation to Mental Health

This article investigates everyday geography of young adults and the unequal importance that spatial accessibility to a range of urban services might have for their mental health to identify those who are truly disadvantaged. Whereas the literature on the socially differentiated vulnerability to place effects has traditionally focused on the neighborhood of residence, we consider daily activity locations to explore whether socially disadvantaged populations are more exposed to (differential exposure) or more affected by (differential effect) low spatial accessibility to services compared to their more advantaged counterparts. Data came from 1,983 young adults (between eighteen and twenty-five years old) living in Montreal, Canada. We observed that less educated young adults had lower spatial accessibility to services in their activity space than their more educated counterparts but also that they were more vulnerable to having lower numbers of services in their surroundings: Lower service accessibility in the activity space was associated with poorer mental health among less educated young adults but not among the more educated. We suggest three sociospatial mechanisms related to (1) place experiences, (2) flexibility in spatial behavior, and (3) rules regulating actual access to services to explore why the “objective” lack of services close to residential and activity locations might represent a greater burden to more socially disadvantaged people.
Using ML and Data-Mining Techniques in Automatic Vulnerability Software Discovery

Today’s age is Machine Learning (ML) and Data-Mining (DM) Techniques, as both techniques play a significant role in measuring vulnerability prediction accuracy. In the field of computer security, vulnerability is a fault that might be exploited as a risk artist that performs unlawful activities inside computer security. The attackers have several different fitting tools and they are taking advantage to operate software illegally and are using it for getting self-profit. Additionally, that helps to expose and identify the violence external. Weakness management remains a repeating exercise to identify, remediating, and justifying weaknesses. These exercises normally send software faults in computing security. The meaning of using weakness with the same risk might go to misperception. It is possible to have a major effect because of possible stability and the window of weakness presented a risk hole in the software and required to fruitfully finish and smoothly operate. A security room has to be set up (zero-day invaders). Software Security Faults stand serious among unavoidable complications in the realm of computer risk. In this study, we have provided a comprehensive review of three book chapters, more than a hundred research articles papers, and several associated papers of different work that have been studied within the capacity of SVA and discovery applying ML and data-mining techniques. The earlier work has been thoroughly read and an adequately comprehensive summary has been provided in table-1. ML techniques that can professionally handle these attacks and we expect the net result of this survey article to help indesigning the new detection model for identifying the above-mentioned attacks
Digital Evidence Identification of Android Device using Live Forensics Acquisition on Cloud Storage (iDrive)

The use of the internet cannot be separated in the era of the industrial revolution 4.0 because all lines are experiencing a digital transformation. Digital transformation cannot be separated from cloud computing, so cloud computing is increasingly diverse and widely used, especially in cloud storage. Cloud storage is widely used both on computers and smartphones and several incidents have shown it is used as a crime. So there is a need for research on how to first identify digital evidence on an Android smartphone, because Android is increasingly being used. By using experimental research, a series of forensic investigations were able to identify digital evidence on an android smartphone with live forensic acquisitions on partitions, applications, and the android ram process that was still on.
Bicycle Traffic Model for Sustainable Urban Mobility Planning

Modelling tools and transport models are required to assess the impact of measures for the effective planning of cycling routes in cities. This paper presents the methodology for developing a four-stage macroscopic model of bicycle traffic for the city of Gdynia, and its use in planning new bicycle routes, considering a modal shift. The model presented in this paper allows for the evaluation of the influence of the characteristics of the cycling infrastructure, along with the development of the cycling network based on the choice of cycling as an alternative to other modes of transport, by taking into account the modal shift. The model takes into account the influence of the longitudinal gradient, link, and surface type of cycling routes on the distribution and demand for bicycle traffic. The results of our research allow us to assess the impact of planned cycling routes on the reduction in the volume of car traffic, which is crucial for reducing energy consumption and negative environmental impacts. Experiences from the application of the model in Gdynia suggest that the model provides a strong basis to support mobility planning and monitoring processes in cities worldwide. Cities should take into account the methods proposed in this paper when planning the development of their transport systems.
Systematic Risk in Emerging Markets: a High-Frequency Approach

The study investigates how systematic, continuous, and discrete (jump) risk can explain the equity returns in Southeast Asia markets. Using the latest econometric techniques and a high-frequency dataset, I construct two high-frequency betas associated with intraday continuous and discontinuous risk premia. To improve consistency, I employ several statistical robustness levels and multiple frequencies (one minutes, five minutes, ten minutes, and thirty minutes). The findings show that both continuous and discontinuous risk premia are significant and positive in Indonesia, and these results are consistent for lower frequency data samples. Furthermore, the study reveals that diffusive and jump risk premia have different impacts in other countries, but the results are not consistent for lower frequency samples.