Miracle-dz/UniFAR-FTUs huggingface dataset:
Knowledge and attitudes toward COVID-19 vaccination in Sudan: A cross-sectional study

Background Vaccines are an essential part of public health interventions to mitigate the devastating health and non-health impacts of COVID-19 pandemic. Despite the fact that Sudan launched the COVID-19 vaccination program in March 2021, only 10% of the population received their two primary doses of vaccines by the end of May 2022. This delayed uptake of vaccines obviously warrants investigation. Therefore, we have conducted this study to evaluate the knowledge, attitude and acceptance of the general population in Sudan toward COVID-19 vaccines. Methodology A descriptive cross-sectional community-based study. The data were collected using an electronic questionnaire from 403 individuals living in Khartoum, Sudan. The data were processed using the Statistical Package for Social Sciences (SPSS), and data analysis was performed using appropriate tests. Results 51% of the participants were found to have sufficient knowledge about the COVID-19 vaccine, and the knowledge level is higher among those educated beyond the secondary school and those who were employed. Among those unvaccinated, only 47% of the participants expressed their intention to take the vaccine when offered to them. The major reason for not trusting the vaccine is safety concerns expressed by 65.5% of the unvaccinated. Conclusion Higher education levels and employment were associated with an increase in sufficient knowledge about the vaccine in around half of the participants. However, most of participants had not taken the vaccine at the time of the study, and the trust in vaccines is not high. Effective interventions by the health authorities are needed to address these issues in order to accelerate the COVID-19 vaccination program in Sudan.
Investigating Chemokine-Matrix Networks in Breast Cancer: Tenascin-C Sets the Tone for CCL2

Bidirectional dialogue between cellular and non-cellular components of the tumor microenvironment (TME) drives cancer survival. In the extracellular space, combinations of matrix molecules and soluble mediators provide external cues that dictate the behavior of TME resident cells. Often studied in isolation, integrated cues from complex tissue microenvironments likely function more cohesively. Here, we study the interplay between the matrix molecule tenascin-C (TNC) and chemokine CCL2, both elevated in and associated with the progression of breast cancer and playing key roles in myeloid immune responses. We uncover a correlation between TNC/CCL2 tissue levels in HER2+ breast cancer and examine the physical and functional interactions of these molecules in a murine disease model with tunable TNC levels and in in vitro cellular and cell-free models. TNC supported sustained CCL2 synthesis, with chemokine binding to TNC via two distinct domains. TNC dominated the behavior of tumor-resident myeloid cells; CCL2 did not impact macrophage survival/activation whilst TNC facilitated an immune suppressive macrophage phenotype that was not dependent on or altered by CCL2 co-expression. Together, these data map new binding partners within the TME and demonstrate that whilst the matrix exerts transcriptional control over the chemokine, each plays a distinct role in subverting anti-tumoral immunity.
Whole Genome Sequencing of the Novel Probiotic Strain Lactiplantibacillus plantarum FCa3L

Lactiplantibacillus plantarum is best known for its significant adaptive potential and ability to colonize different ecological niches. Different strains of L. plantarum are widely used as probiotics. To characterize the probiotic potential of the novel L. plantarum FCa3L strain isolated from fermented cabbage, we sequenced its whole genome using the Illumina MiSeq platform. This bacterial isolate had a circular chromosome of 3,365,929 bp with 44.3% GC content and a cyclic phage phiX174 of 5386 bp with 44.7% GC content. The results of in vitro studies showed that FCa3L was comparable with the reference probiotic strain L. plantarum 8PA3 in terms of acid and bile tolerance, adhesiveness, H2O2 production, and acidification rate. The strain 8PA3 possessed higher antioxidant activity, while FCa3L demonstrated superior antibacterial properties. The antibiotic resistance of FCa3L was more relevant to the probiotic strain than that of 8PA3, although a number of silent antibiotic resistance genes were identified in its genome. Genomic evidence to support adhesive and antibacterial properties, biosynthesis of bioactive metabolites, and safety of FCa3L was also presented. Thus, this study confirmed the safety and probiotic properties of L. plantarum FCa3L via complete genome and phenotype analysis, suggesting its potential as a probiotic, although further in vivo investigations are still necessary.
Clostridia and Enteroviruses as Synergistic Triggers of Type 1 Diabetes Mellitus

What triggers type 1 diabetes mellitus (T1DM)? One common assumption is that triggers are individual microbes that mimic autoantibody targets such as insulin (INS). However, most microbes highly associated with T1DM pathogenesis, such as coxsackieviruses (COX), lack INS mimicry and have failed to induce T1DM in animal models. Using proteomic similarity search techniques, we found that COX actually mimicked the INS receptor (INSR). Clostridia were the best mimics of INS. Clostridia antibodies cross-reacted with INS in ELISA experiments, confirming mimicry. COX antibodies cross-reacted with INSR. Clostridia antibodies further bound to COX antibodies as idiotype–anti-idiotype pairs conserving INS–INSR complementarity. Ultraviolet spectrometry studies demonstrated that INS-like Clostridia peptides bound to INSR-like COX peptides. These complementary peptides were also recognized as antigens by T cell receptor sequences derived from T1DM patients. Finally, most sera from T1DM patients bound strongly to inactivated Clostridium sporogenes, while most sera from healthy individuals did not; T1DM sera also exhibited evidence of anti-idiotype antibodies against idiotypic INS, glutamic acid decarboxylase, and protein tyrosine phosphatase non-receptor (islet antigen-2) antibodies. These results suggest that T1DM is triggered by combined enterovirus-Clostridium (and possibly combined Epstein–Barr-virus-Streptococcal) infections, and the probable rate of such co-infections approximates the rate of new T1DM diagnoses.
A Generalized Control Paradigm for Storage Systems: Optimal Energy Management and Stability Certificates

In this brief, we propose a suboptimal control update for lossless storage systems that operates based on the instantaneous value of the load power and generalizes previously suggested solutions for energy management problems. The proposed control update performs under uncertain conditions and does not require statistical information about the load profile. We leverage tools from Pontryagin’s minimum principle and stochastic dynamic programming methods to derive the control strategy and then investigate its stability properties using the Lyapunov analysis. However, the analysis of this control paradigm presents significant challenges, among which the key difficulty arises due to the presence of nonlinear feedback terms. To address this challenge, we first introduce a coordinate transformation, which transforms the original problem into an equivalent stabilization problem, and then verify its stability properties using the Lyapunov function theory and LaSalle’s invariance principle. We show that the proposed control policy works for both continuous-time and stochastic load profiles, and it keeps the stored energy within the capacity bounds by following the optimal path.
Ratio of Urinary Proteins to Albumin Excretion Shifts Substantially during Progression of the Podocytopathy Alport Syndrome, and Spot Urine Is a Reliable Method to Detect These Pathologic Changes

The urinary albumin- and protein-to-creatinine ratios (UACR and UPCR, respectively) are key endpoints in most clinical trials assessing risk of progression of chronic kidney disease (CKD). For the first time, the current study compares the UACR versus the UPCR head-to-head at early stages of CKD, taking use of the hereditary podocytopathy Alport syndrome (AS) as a model disease for any CKD. Urine samples originated from the prospective randomized, controlled EARLY PRO-TECT Alport trial (NCT01485978). Urine samples from 47 children with confirmed diagnoses of AS at very early stages of CKD were divided according to the current stage of AS: stage 0 (UACR < 30 mg/g), stage 1 (30–300 mg/g) or stage 2 (>300 mg/g). The range of estimated glomerular filtration rate was 75–187.6 mL/min. The mean age was 10.4 ± 4.5 years. In children at stage 0, proteinuria in spot urine, confirmed in 24 h urine, was almost ten times higher than albuminuria (106.4 ± 42.2 vs. 12.5 ± 9.7; p < 0.05); it was “only” about three times higher in stage 1 (328.5 ± 210.1 vs. 132.3 ± 80.5; p < 0.05) and almost equal in stage 2 (1481.9 ± 983.4 vs. 1109.7 ± 873.6; p = 0.36). In 17 children, UACRs and UPCRs were measured simultaneously in 24 h urine and spot urine in the same study visit. Interestingly, the UACR (and UPCR) in 24 h urine vs. in spot urine varied by less than 10% (266.8 ± 426.4 vs. 291.2 ± 530.2). In conclusion, our study provides the first evidence that in patients with normal glomerular filtration rate (GFR) and low amounts of albuminuria, especially in children with podocytopathies such as AS, measuring the UACR and UPCR in spot urine is a reliable and convenient alternative to 24 h urine collection. Our study advocates both the UACR and the UPCR as relevant diagnostic biomarkers in future clinical trials in children with glomerular diseases because the UPCR seems to be a very significant parameter at very early stages of podocytopathies. The German Federal Ministry of Education and Research funded this trial (01KG1104).
Epidemiology and Multidrug Resistance of Pseudomonas aeruginosa and Acinetobacter baumanni Isolated from Clinical Samples in Ethiopia

Background A. baumannii and P. aeruginosa are important nosocomial pathogens in health-care settings. Both are intrinsically resistant to many drugs and are able to become resistant to the virtually most antimicrobial agents. An increasing prevalence of infections caused by multidrug-resistant isolates has been reported in many countries. Methods An institutional-based cross-sectional five-year retrospective study was conducted to assess the antimicrobial resistance trend of P. aeruginosa and A. baumani. 893 A. baumani and 729 P. aeruginosa isolates were included in the study. Conventional method was used for identification and antimicrobial susceptibility was determined by Kirby-Bauer disc-diffusion method. The isolates were from suspected bloodstream infections, wound infections, urinary tract, or surgical site nosocomial infections. Socio-demographic and other variables of interest were collected using a structured check list from a patient record data. Data were analyzed using SPSS version 26 software. P value <0.05 was considered statistically significant. Results A total of 1622 A. baumanii and P. aeruginosa were isolated from various clinical specimens recorded from the year 2017–2021. Out of which A. baumanni was 893 (60.6%) and P. aeruginosa was 729 (39.4%). Blood was the major source of the isolates (18.3%), followed by urine (16%), and tracheal aspirate (10.6%). Antimicrobial resistance among A. baumanni over the five years were; ampicillin (86% to 92%), ceftriaxone (66.7% to 82.2%), and ciprofloxacin (58.5% to 66.7%). In P. aeruginosa a significant increase in resistance was seen from 2017 to 2021 to Amoxicillin-clavulanate (74.1% to 84.2%), chloramphenicol (62% to 81.9%), and gentamicin (40% to 44.8%). Conclusion A five-year antimicrobial resistance trend analysis of A. baumanni and P. aeruginosa showed increasing multi drug resistance and resistance to highly potent antimicrobial agents in Ethiopia. It should be addressed with infection control measures, surveillance, and alternative new therapeutic strategies to circumvent the spread of multi-drug resistance.
Association of personal and equipment-related factors on ACL injury risk in alpine skiers with cautious or risk-taking behaviour: A case-control study

Background In recreational alpine skiing ACL injury risk depends on the interaction of individual characteristics and behaviours as well as on equipment-related factors. Aim to evaluate if and to what extent personal characteristics and equipment-related parameters are associated with ACL injury risk in cautious and risk-taking recreational alpine skiers. Methods A retrospective questionnaire-based, case-control study of ACL-injured and uninjured in a cohort of cautious as well as risk-taking recreational skiers was conducted. Participants self-reported their demographics, skiing skill level, and risk-taking behaviour. Ski length, side-cut radius, widths of the tip, waist, and tail were recorded from each participant's skis. Standing heights at the front and rear components of the ski binding were measured with a digital sliding caliper, and a standing height ratio between the front and rear components was calculated. Ski boot sole abrasion at the toe and heel pieces was also measured with the digital sliding caliper. Results In total, 1068 recreational skiers (50.8% females) with a mean age of 37.8 ± 12.3 years participated, of whom 193 (22.0%) sustained an ACL injury, and 330 (30.9%) participants reported a risk-taking behaviour. Results of the multiple logistic regression analyses revealed that a higher age, a lower skill level, a higher standing height ratio, and greater ski boot sole abrasion at the toe as well as heel pieces were independently associated with an increased ACL injury risk in both the cautious and the risk-taking group. Among cautious skiers, a longer ski length was an additional significant risk factor for sustaining an ACL injury. In conclusion, the same personal and equipment related characteristics contribute to an increase in the ACL injury risk regardless of risk-taking behaviour, with the only difference that longer skis represent an additional risk factor in cautious skiers.
Universities and innovation – the case of hybrid courses

Purpose Hybrid learning, integrating online methods of instruction with face-to-face learning methods, has recently gained increased attention. The literature on pedagogy and course management has focused on hybrid learning as a combination of virtual and physical environments, which can shift learning to a more student-centered model from the teacher-centered model. A gap exists in the literature related to the execution of hybrid learning and challenges faced by internal stakeholders, and the outcomes are achieved. This study aims to examine the implementation of hybrid learning courses and investigate the challenges and outcomes. Design/methodology/approach This study adopted a qualitative approach. This study presents a case of a management university in India. Ten semistructured interviews were conducted with the university officials, including the vice-chancellor, dean and faculty members. The data collection method also included reviewing university documents and reports. Findings While formalized knowledge transfer through online courses can facilitate knowledge dissemination, it has its own downsides: it needs to be contextualized; it requires additional resources; it is not a one size fits all policy, as its conducive to some and alienates others; and students may not completely adopt it. Originality/value This investigation attempts to examine the shift to hybrid learning in the Indian context.
Estimating Operational Risk Capital: The Challenges of Truncation, the Hazards of MLE, and the Promise of Robust Statistics

In operational risk measurement, the estimation of severity distribution parameters is the main driver of capital estimates, yet this remains a non-trivial challenge for many reasons. Maximum likelihood estimation (MLE) does not adequately meet this challenge because of its well-documented non-robustness to modest violations of idealized textbook model assumptions, specifically that the data are independent and identically distributed (i.i.d.), which is clearly violated by operational loss data. Yet even under i.i. d. data, capital estimates based on MLE are biased upwards, sometimes dramatically, due to Jensen’s inequality. This overstatement of the true risk profile increases as the heaviness of the severity distribution tail increases, so dealing with data collection thresholds by using truncated distributions, which have thicker tails, increases MLE-related capital bias considerably. Truncation also augments correlation between a distribution’s parameters, and this exacerbates the non-robustness of MLE. This paper derives influence functions for MLE for a number of severity distributions, both truncated and not, to analytically demonstrate its non-robustness and its sometimes counterintuitive behavior under truncation. Empirical influence functions are then used to compare MLE against robust alternatives such as the Optimally Bias-Robust Estimator (OBRE) and the Cramer-von Mises (CvM) estimator. The ultimate focus, however, is on the economic and regulatory capital estimates generated by these three estimators. The mean adjusted single-loss approximation (SLA) is used to translate these parameter estimates into Value-at-Risk (VaR) based estimates of regulatory and economic capital. The results show that OBRE estimators are very promising alternatives to MLE for use with actual operational loss event data, whether truncated or not, when the ultimate goal is to obtain accurate (non-biased) and robust capital estimates.
Risk Premium, Interest Rate, Inflation and FDI in the Time of Coronavirus: a Case Study of Mena Countries

Purpose: the purpose of study is estimate the Risk premium, Interest rate, Inflation and FDI in the through of Coronavirus in the MENA countries. Theoretical framework: The theoretical framework included the study of the main variables, which are risk premium, interest rate, inflation, and foreign direct investment during the Corona virus pandemic. Design/methodology/approach: Concentrating on “COVID-19”, as an effective factor on the Foreign direct investment (FDI), I employ data of “MENA (Middle East and Northern Africa)” countries from 2000 to 2021 to investigate the impact of COVID-19, financial and macroeconomic indicators on FDI relying on the analytic research approach of Static panel data regression, including Pooled OLS, Fixed effect (FE), and Random effect (RE) using STATA software as the statistical evaluation tool. Findings: The outcome, as expected, reveals the significant negative impact of “inflation”, real interest rate” and “COVID-19”, and positive impact of “exchange rate”, and “GDP per capita” on “FDI” in MENA economies. Research, Practical & Social implications: This suggests that supporting and handling pandemic situations and improving financial measures by government may lead to higher rate of foreign investment particularly FDI. Originality/value: The findings of this analysis will be valuable for the “policymakers” to prepare suitable strategies in promoting foreign investment in economies.
Lp-Estimates of Solutions to n-Dimensional Parabolic-Parabolic System for Chemotaxis with Subquadratic Degradation

We study the global existence of solutions to an n-dimensional parabolicparabolic system for chemotaxis with a subquadratic degradation. We introduce sublinear production of a chemoattractant. We then show the global existence of solutions in Lp space ðp > nÞ under certain relations between the degradation and production orders.
Dietary Supplement Use and Associated Factors Among Adults Working in Urban Settings in Tanzania: A Cross-Sectional Study

Dietary supplements are products consumed to provide nutrients or other substances that the user may not consume in sufficient amounts through normal diets. Despite their increased global popularity, there is still scant information regarding the use of dietary supplements and associated factors among adult populations in Tanzania. This study aimed to assess the extent of dietary supplement use and factors associated with use among adults working in urban settings. This was a cross-sectional study involving 419 adults working in public and private institutions within the Ilala District of Dar es Salaam who were selected using stratified and simple random sampling techniques. The study’s data was collected using quantitative methods through a self-administered questionnaire. Data analysis was done through descriptive statistics for frequencies, means, standard deviations, and proportions; cross-tabulations with chi-square tests for comparing observed differences in supplement use; and multivariable logistic regression for identifying factors associated with supplement use. A P-value of <. 05 was considered statistically significant in the analysis. The prevalence of dietary supplement use among working adults was 46.5%, where 36.9% reported regular and 63.1% occasional supplement use, respectively. Seven types of dietary supplements were identified to be consumed, of which 45.1% of the respondents consumed more than one type of dietary supplement. Multivitamins (64.1%) were the most frequently reported type of supplement consumed, followed by Mineral (34.9%) and Herbal/Botanical (26.7%) supplements. The most commonly reported reason for dietary supplement use among working adults was to improve overall health (67.1%). A third of the users (35.9%) admitted to self-prescribing dietary supplements without seeking professional medical advice. The use of dietary supplements was significantly associated with being female (AOR = 2.243, 95% CI 1.415-3.555, P = .001) and knowledgeable of supplements (AOR = 6.756, 95% CI 4.092-11.154, P < .001). Overall, the use of dietary supplements is popular among adults working within urban settings, but its use is exacerbated by perceived knowledge and self-prescription instead of health professional advice. Therefore, there is a need for further studies to explain better the underlying drivers for perceived knowledge on decision-making. There is also a strong need for extensive health education to prevent inappropriate or excessive use of supplements which might lead to potential adverse events.
Analisis kemampuan argumentasi ilmiah mahasiswa pendidikan kimia pada pembelajaran daring

Kemampuan argumentasi ilmiah merupakan kemampuan esensial yang harus dikuasai oleh mahasiswa pendidikan sebagai bagian dari literasi sains. Argumentasi ilmiah merupakan kemampuan mengkaitkan klaim, bukti ilmiah dan alasan yang rasional. Penelitian ini bertujuan untuk menganalisis kemampuan argumentasi ilmiah mahasiswa pendidikan kimia pada proses pembelajaran daring. Penelitian ini merupakan penelitian deskriptif kualitatif dengan subjek penelitian 20 mahasiswa pendidikan kimia semester 2 yang mengambil mata kuliah kimia dasar II. Instrumen yang digunakan untuk mengukur kemampuan argumentasi ilmiah mahasiswa adalah instrumen penilaian berpikir tingkat tinggi yang terdiri dari 5 soal. Instrumen tersebut telah divalidasi melalui proses expert judgment dan dinyatakan valid. Hasil analisis data menunjukan bahwa kemampuan argumentasi ilmiah mahasiswa pendidikan kimia selama proses pembelajaran daring berada pada kategori sedang. Kemampuan argumentasi mahasiswa rata â€“ rata berada pada level 1-2. Hasil penelitian ini dapat digunakan sebagai dasar untuk merencanakan proses pembelajaran. Kegiatan yang melibatkan argumentasi mahasiswa perlu ditingkatkan untuk mengembangkan kemampuan pemahaman konsep dan keterampilan berargumentasi.