Miracle-dz/UniFAR-FTUs huggingface dataset:
COVID-19 and Saudi medical students: A cross-sectional study on knowledge, preventive behaviors, and risk perception

Background: The knowledge, preventive behaviors, and risk perception of the COVID-19 pandemic among health care workers can affect virus transmission and control. As the primary individuals in contact with infected patients, health care workers risk infection. There are a few studies on the knowledge and self-practice prevention for COVID-19 among medical students. Objectives: This study evaluated the COVID-19-related knowledge, preventive behaviors, and risk perceptions among medical students and interns. Methods: This study used a quantitative cross-sectional evaluation of the Saudi Arabian medical students utilizing a previously published online survey in 2020. Results: The study questionnaire was completed by 474 respondents. The average knowledge and preventive behavior score was significantly lower in males. The reported source of information showed a statistically significant association with knowledge and was higher in the respondents who reported world health organization (WHO)/centers for disease control and prevention (CDC)/UpToDate as their main source of information. The National Guidelines of the Ministry of Health was the second source to be reported for seeking information. A statistically significant positive correlation was observed between the knowledge and preventive measures scores. The respondents who did not follow any information regarding COVID-19 had significantly lower knowledge and preventive behavior scores than those obtaining knowledge from sources. The preventive behavior score was not significantly different between clinical and pre-clinical students. Conclusion: This study assessed the knowledge, perceptions, and practices of COVID-19 following the onset of the pandemic in Saudi Arabia, indicating an acceptable level of undergraduate students' knowledge regarding the epidemic and its control measures.
Advances and Hurdles in CAR T Cell Immune Therapy for Solid Tumors

Simple Summary Chimeric antigen receptor (CAR) T cells are genetically engineered T cells that recognize markers present on tumor cells and drive the degradation of the tumor itself. CAR T immunotherapy has obtained remarkable success in targeting a number of blood malignancies; however, its outcome is typically modest when applied to solid tumors, because of specific structural, biological, and metabolic aspects of the solid tumor environment. This article offers an overview of the interactions between CAR T cells and the solid tumor microenvironment, highlighting the main strategies that have been attempted to overcome CAR T suppression, both in preclinical models and in clinical trials. Abstract Chimeric antigen receptor (CAR) T cells in solid tumors have so far yielded limited results, in terms of therapeutic effects, as compared to the dramatic results observed for hematological malignancies. Many factors involve both the tumor cells and the microenvironment. The lack of specific target antigens and severe, potentially fatal, toxicities caused by on-target off-tumor toxicities constitute major hurdles. Furthermore, the tumor microenvironment is usually characterized by chronic inflammation, the presence of immunosuppressive molecules, and immune cells that can reduce CAR T cell efficacy and facilitate antigen escape. Nonetheless, solid tumors are under investigation as possible targets despite their complexity, which represents a significant challenge. In preclinical mouse models, CAR T cells are able to efficiently recognize and kill several tumor xenografts. Overall, in the next few years, there will be intensive research into optimizing novel cell therapies to improve their effector functions and keep untoward effects in check. In this review, we provide an update on the state-of-the-art CAR T cell therapies in solid tumors, focusing on the preclinical studies and preliminary clinical findings aimed at developing optimal strategies to reduce toxicity and improve efficacy.
Diet and lifestyle risk factors associated with young adult hypertensives in India – Analysis of National Family Health Survey IV

Background: Young adults with hypertension have a higher lifetime risk of cardiovascular diseases. Global evidence suggests a significant role of diet and lifestyle risk factors on hypertension among the young adult (aged 18–39 years) hypertensive population. Aim: The purpose of this study was to look for the association of diet and lifestyle risk factors with young adult hypertensives. Results: This study reports the prevalence of young adult hypertension based on a national representative sample based on the National Family Health Survey (NFHS-4) data and the association of behavioral risk factors with young adult hypertension. The survey adopted a two-stage stratified random sampling. The outcome variable was hypertension, whereas the exposure variables were various diet and lifestyle factors. The prevalence of young adult hypertension in India was 12.4% among men and 8.2% among women. Sikkim had the highest prevalence among both sexes. Lower prevalence was seen in the states of Delhi and Kerala. Marital status, body mass index, eating meat, alcohol intake, and taking coffee or tobacco 30 min before BP measurement were found to be associated factors that put both the sexes at risk of developing hypertension. The wealth index was concluded as a risk factor only in men while the level of education came out to be a risk factor only in females. Conclusion: This study is the first from India which gives a recent estimate of prevalence of young adult hypertension by state and individual level characteristics in addition to national level estimates for India.
Morphometric and meristic diversity of the species Androctonus crassicauda (Olivier, 1807) (Scorpiones: Buthidae) in Saudi Arabia

Intraspecific molecular and morphological variations among geographically isolated populations are useful for understanding the evolutionary processes, which is considered early stage of allopatric speciation. Also, the knowledge of the regional variation of scorpion venom composition is needed to improve antivenom therapeutic management. Androctonus crassicauda (Olivier, 1807) is the most common and medically important species in Arabia and the Middle East. Therefore, this study aimed to investigate the geographic morphological variation among A.crassicaudapopulations, regarding its geographical distribution in unexplored arid regions in Saudi Arabia. Samples were collected and examined morphologically under a dissecting microscope from different four eco-geographical regions. The results of ANOVA and multivariate statistical analyses provide strong evidence of geographical variation. The two populations from OTU3 and OUT4 showed the greatest degree of morphological difference from populations of OUT1 and OUT2. Each OTU3 and OTU4 populations showed significant speciation without overlapping in the two groups, while the remaining overlapped groups comprised two other populations. Several body variables influenced male separation, including carapace posterior width, metasoma 3rd length, and metasoma 2nd length. For females, telson length, metasoma 1st width, and sternite 7th width were highly influential variables. Such variation may suggest the existence of cryptic taxa within A. crassicauda populations in Saudi Arabia. Moreover, metasoma ratios can be used as good indicators in intraspecific variation studies of Scorpions.
Exploration of a Novel Circadian miRNA Pair Signature for Predicting Prognosis of Lung Adenocarcinoma

Simple Summary Identifying new prognostic markers can provide a reference for the treatment of lung adenocarcinoma (LUAD) to improve its prognosis. Circadian rhythm disturbances are closely linked to the initiation, progression and prognosis of lung cancer. We aimed to explore the value of circadian miRNA (cmiRNA) as a prognostic marker of LUAD. A prognostic signature comprising seven pairs of cmiRNAs was established, and it exhibited excellent predictive value for overall and progression-free survival. High-risk patients showed higher sensitivity to primary chemotherapy drugs and targeted medicine compared with low-risk patients. Overall, the novel circadian-related miRNA pair signature could provide a precise prognostic evaluation with the potential capacity to guide individualized treatment regimens for LUAD. The cmiRNA–Cgenes network and corresponding enrichment analysis might provide clues for studying the underlying circadian dysregulation mechanisms involved in the progression of LUAD in the future. Abstract Lung adenocarcinoma (LUAD) is the primary histological subtype of lung cancer with a markedly heterogeneous prognosis. Therefore, there is an urgent need to identify optimal prognostic biomarkers. We aimed to explore the value of the circadian miRNA (cmiRNA) pair in predicting prognosis and guiding the treatment of LUAD. We first retrieved circadian genes (Cgenes) from the CGDB database, based on which cmiRNAs were predicted using the miRDB and mirDIP databases. The sequencing data of Cgenes and cmiRNAs were retrieved from TCGA and GEO databases. Two random cmiRNAs were matched to a single cmiRNA pair. Finally, univariate Cox proportional hazard analysis, LASSO regression, and multivariate Cox proportional hazard analysis were performed to develop a prognostic signature consisting of seven cmiRNA pairs. The signature exhibited good performance in predicting the overall and progression-free survival. Patients in the high-risk group also showed lower IC50 values for several common chemotherapy and targeted medicines. In addition, we constructed a cmiRNA–Cgenes network and performed a corresponding Gene Ontology and Gene Set enrichment analysis. In conclusion, the novel circadian-related miRNA pair signature could provide a precise prognostic evaluation with the potential capacity to guide individualized treatment regimens for LUAD.
Automatic Assessment of Mathematical Creativity using Natural Language Processing

ABSTRACT Creativity is now accepted as a core 21st-century competency and is increasingly an explicit part of school curricula around the world. Therefore, the ability to assess creativity for both formative and summative purposes is vital. However, the fitness-for-purpose of creativity tests has recently come under scrutiny. Current creativity assessments have up to five key weaknesses that create a barrier to their widespread use in educational settings. These are: (a) A lack of domain/subject specificity; (b) Inconsistency, leading to a lack of trust; (c) A lack of authenticity in classroom settings; (d) Slowness (in providing useful results); (e) High cost to administer. The aim of the present study is to explore the feasibility of the automated assessment of mathematical creativity, drawing on tools and techniques from the field of natural language processing, as a means to address these weaknesses. This paper describes the performance of a machine learning algorithm, relative to human judges, demonstrating the practicality of automated creativity assessment for large-scale, school-based assessments. Plain Language Summary The importance of creativity is recognized in education systems globally. The ability to assess creativity, for both formative and summative purposes, is therefore vital. However, the quality of creativity tests (their validity and reliability) tends to come at a cost. In simple terms, the better the creativity test, the greater the effort, and therefore cost, required to deliver and score that test. The aim of the present study is to explore the feasibility of the automated assessment of mathematical creativity, drawing on tools and techniques from the field of natural language processing. This paper describes how a machine learning algorithm assesses mathematical creativity and compares this to human judges.
Governance principles for local level groundwater management in Njombe District, Tanzania

Groundwater governance is a necessary condition for groundwater management that in turn improves access to clean and safe drinking water. However, it is one of the developmental issues, which has not been addressed squarely in Tanzania. Using governance principles, we explored groundwater governance in Njombe district where water for domestic use depends on groundwater source. The study used cross-sectional research design by adopting a mixed method approach with a random sample of 250 respondents. It also involved 32 Focus Group Discussion (FGDs) participants and 9 governance actors at a district and community levels. The Statistical Package for Social Sciences (SPSS) was used to summarize descriptive statistics while qualitative data were subjected to the content analysis. The results show that five out of eight governance principles namely: accountability, transparency, collaboration, rule of law and responsiveness were not practised effectively because of poor knowledge among the governance actors. To that effect, the practice of governance principles was poor translating into poor groundwater management. Therefore, district authorities should build capacity on good governance to all groundwater governance actors recognized by the law. This helps practise governance principles effectively for groundwater management.
Effects of plasma filling on microwave emission in a BWO with non-uniform slow wave structure

Summary form only given. In a backward wave oscillator (BWO), an electron beam flowing in a waveguide interacts with a ripple in the waveguide wall, known as a slow wave structure (SWS), to produce high power microwaves. The introduction of either a non-uniform ripple or plasma filling in the waveguide has been shown to increase the output power of the BWO. The effect of a non-uniform ripple and plasma filling is studied using the computer code MAGIC. For a BWO with a non-uniform SWS geometry similar to that used in experiments at UNM, the effects of plasma density, plasma radius, and the amount of plasma filling on microwave emission are being simulated. Preliminary results suggest that higher power is produced only with a plasma density less than the electron beam density. In addition, our MAGIC simulations are testing the prediction made by an analytical study which suggests that higher output power will be generated with a plasma concentrated within a small radius and an annular electron beam flowing at a larger radius close to the SWS ripples. The effects of the amount of plasma filling are also studied to determine if the presence of plasma beyond the SWS inhibits the production of high power microwaves in a plasma filled BWO.
A Review on HEVC Video Forensic Investigation under Compressed Domain

: In recent years, video forensic investigation has become a prominent research area, due to the adverse effect of fake videos on networks, people and society. This paper summarizes all the existing methodologies used for forgery detection in H.265/HEVC videos. HEVC video forgery is generally classified into two categories as video quality forgery and video content forgery. The occurrence of various forgeries such as transcoding, fake-bitrate, inter-frame forgery and intra-frame forgery is deeply analyzed based on features extracted from the HEVC compression domain. The major findings of this research are (i) Less focus on transcoding detection, (ii) Non-availability of HEVC forged video dataset (iii) More focus on double compression detection for forgery detection, and (iv) Non-consideration of adaptive-GOP structure. The forgery detection in the video is critically important due to its wide use as the primary source of information in criminal investigations and proving the authenticity of contents. So, the forgery detection accuracy is of major concern at the present time. Although, various forgery detection methods are developed in past but the findings of this review point out the need of developing more effective detection methods with high accuracy.
Kinetic and Kinematic Characteristics of Setting Motions in Female Volleyball Players

While being an integral part of both the offensive and defensive segments of the game, the biomechanical parameters of setting motions remain understudied in the scientific literature. Thus, the purpose of the present study was to examine differences in kinetic and kinematic characteristics between: (a) three types of setting motions (i.e., front, middle, back); (b) two types of setting approaches (i.e., stationary, step-in); and (c) proficient (PRO) and non-proficient (N-PRO) volleyball players. Twenty recreationally active females performed five stationary and five step-in setting approaches to Zone 4–2 in a randomized order. Uni-dimensional force plate sampling at 1000 Hz and high-definition camera recording at 30 fps were used to obtain kinetic and kinematic variables of interest. The total number of setting attempts performed by each subject was 30, accounting for a grand total of 600 attempts. PRO setters had less knee flexion, shoulder flexion, and ankle dorsiflexion at the initial concentric phase of the volleyball setting motion when compared to the N-PRO setters. Moreover, significantly greater peak concentric and landing forces, impulse, rate of force development, and vertical jump height were observed for PRO setters compared to N-PRO setters, while no significant differences were found between different setting targets and approaches.
Laminar-turbulent patterning in wall-bounded shear flows: a Galerkin model

On its way to turbulence, plane Couette flow–the flow between counter-translating parallel plates–displays a puzzling steady oblique laminar-turbulent pattern. We approach this problem via Galerkin modelling of the Navier–Stokes equations. The wall-normal dependence of the hydrodynamic field is treated by means of expansions on functional bases fitting the boundary conditions exactly. This yields a set of partial differential equations for spatiotemporal dynamics in the plane of the flow. Truncating this set beyond the lowest nontrivial order is numerically shown to produce the expected pattern, therefore improving over what was obtained at the cruder effective wall-normal resolution. Perspectives opened by this approach are discussed.
Molecular Characterization of Plasma HDL, LDL, and VLDL Lipids Cargos from Atherosclerotic Patients with Advanced Carotid Lesions: A Preliminary Report

Carotid atherosclerosis represents a relevant healthcare problem, since unstable plaques are responsible for approximately 15% of neurologic events, namely transient ischemic attack and stroke. Although statins treatment has proven effective in reducing LDL-cholesterol and the onset of acute clinical events, a residual risk may persist suggesting the need for the detection of reliable molecular markers useful for the identification of patients at higher risk regardless of optimal medical therapy. In this regard, several lines of evidence show a relationship among specific biologically active plasma lipids, atherosclerosis, and acute clinical events. We performed a Selected Reaction Monitoring-based High Performance Liquid Chromatography-tandem Mass Spectrometry (SRM-based HPLC-MS/MS) analysis on plasma HDL, LDL, and VLDL fractions purified, by isopycnic salt gradient ultracentrifugation, from twenty-eight patients undergoing carotid endarterectomy, having either a “hard” or a “soft” plaque, with the aim of characterizing the specific lipidomic patterns associated with features of carotid plaque instability. One hundred and thirty lipid species encompassing different lipid (sub)classes were monitored. Supervised multivariate analysis showed that lipids belonging to phosphatidylethanolamine (PE), sphingomyelin (SM), and diacylglycerol (DG) classes mostly contribute to discrimination within each lipoprotein fraction according to the plaque typology. Differential analysis evidenced a significant dysregulation of LDL PE (38:6), SM (32:1), and SM (32:2) between the two groups of patients (adj. p-value threshold = 0.05 and log2FC ≥ |0.58|). Using this approach, some LDL-associated markers of plaque vulnerability have been identified, in line with the current knowledge of the key roles of these phospholipids in lipoprotein metabolism and cardiovascular disease. This proof-of-concept study reports promising results, showing that lipoprotein lipidomics may present a valuable approach for identifying new biomarkers of potential clinical relevance.
Tests of Linear Hypotheses and l[subscript]1 Estimation

statistics of a linear hypothesis in the standard linear model. These test statistics, which correspond to Wald, likelihood ratio, and Lagrange multiplier tests, are shown to have the same limiting chi-square behavior under mild regularity conditions on design and the distribution of errors. The asymptotic theory of the tests is derived for a large class of error distributions; thus in Huber's [10] terminology we investigate the behavior of the likelihood ratio test under "non-standard" conditions. The asymptotic efficiency of the 11 tests involves a modest sacrifice of power compared to classical tests in cases of strictly Gaussian errors but may yield large efficiency gains in non-Gaussian situations. The Lagrange multiplier test seems particularly attractive from a computational standpoint. We derive the asymptotic distribution of the three alternative 11 test statistics for a simple linear exclusion hypothesis. Extension of these results to hypotheses of the form R,8 = r is a straightforward exercise. When the density of the error distribution is strictly positive at the median, all three test statistics have the same limiting central x2 behavior at the null and noncentral x2 behavior for local alternatives to the null. When the variance of the error distribution is bounded, analogous results are well known for classical forms of the Wald, likelihood ratio, and Lagrange multipler tests based on least-squares methods. See, for example, Silvey [18] and the discussion in Section 4 below.
Chemical Composition and Evaluation of Antifungal and Insecticidal Activities of Essential Oils Extracted from Jambosa caryophyllus (Thunb.) Nied: Clove Buds

Jambosa caryophyllus has been used in traditional phytotherapy as a treatment against infections. In the present work, essential oils extracted from clove buds (Jambosa caryophyllus ) (EO-JC) were investigated for their composition, antifungal, and insecticidal properties. Extraction of EO-JC was performed by use of hydrodistillation using a Clevenger-type apparatus, and the EOs were analyzed by gas chromatography coupled with mass spectrometry (GC-MS). Antifungal activity of EO-JC was evaluated by the use of solid-state diffusion (disc method) and microdilution to determine the minimum inhibitory concentration (MIC), against three strains of fungus, Aspergillus niger, Aspergillus flavus, and Fusarium oxysporum. Insecticidal activity of EO-JC against the cowpea weevil, Callosobruchus maculatus, was determined to assess utility of EO-JC to control this pest. Several exposures including inhalation and contact were used to determine lethality, as well as the repulsion test was conducted at concentrations of 4, 8, 16, and 32 μL EO-JC. Characterization of EO-JC by GC/MS revealed 34 compounds accounting for 99.98% of the mass of the extract. The predominant compound was eugenol (26.80%) followed by β-caryophyllene (16.03%) and eugenyl acetate (5.83%). The antifungal activity of EO-JC on solid media exhibited inhibitions in the range of 49% to 87%, and MIC was between 3.125 and 7.80 μg EO-JC/mL. Insecticidal activity, as determined by the use of the inhalation test, and expressed as the LD50 and LD95 after 96 hours of exposure was 2.32 and 21.92 μL/L air, respectively. In the contact test, a 96-hour exposure resulted in LD50 and LD95 of 5.51 and 11.05 μL/L of air, respectively. EO-JC exhibited insecticidal activity against fungi and pest chickpea weevil.