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430 result(s) for "Mohammad Yasin Mohammad"
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Pharmacy students’ motivations, satisfaction, and future career plans: A cross-sectional study exploring gender differences
The pharmacy profession has significantly changed over the years. Pharmacy students' perceptions of their coursework and future career aspirations may vary in relation to gender. The present study explored the motivations of pharmacy students to enter pharmacy school, their satisfaction with the academic program, future plans after graduation, and perceptions about the pharmacy profession in relation to gender. Data were collected using a cross-sectional descriptive validated questionnaire built by the research team. The study was conducted at twelve public and private universities offering pharmacy programs. In total, 918 pharmacy students have completed the online questionnaire, with a 98% response rate. Most participants reported that family encouragement was a motive to enter pharmacy school. The results of the Chi-Squared Test indicated a significant difference between female and male participants with respect to the following motives: High school grades (p = 0.009), being good at science (p = 0.013), working with patients(p = 0.024), professional status (p = 0.014), working in a family business (p = 0.001) and job opportunities (p = 0.001). The majority of male participants and female participants perceived pharmacy jobs as prestigious jobs. In addition, male and female students believed that it was a profession with well-paid jobs. Females were significantly more motivated by their high school degrees, goodness at science, working with patients, and professional status to enter pharmacy school. Pharmacy students are satisfied enough with the academic program. Male and female pharmacists have different career aspirations in the pharmaceutical sectors. It is recommended that students be educated about career planning to help them accomplish their goals. Future research could benefit from longitudinal studies to explore changes in pharmacy students' motivations, satisfaction, and career aspirations over time.
A Review of Light-Emitting Diodes and Ultraviolet Light-Emitting Diodes and Their Applications
This paper presents an extensive literature review on Light-Emitting Diode (LED) fundamentals and discusses the historical development of LEDs, focusing on the material selection, design employed, and modifications used in increasing the light output. It traces the evolutionary trajectory of the efficiency enhancement of ultraviolet (UV), blue, green, and red LEDs. It rigorously examines the diverse applications of LEDs, spanning from solid-state lighting to cutting-edge display technology, and their emerging role in microbial deactivation. A detailed overview of current trends and prospects in lighting and display technology is presented. Using the literature, this review offers valuable insights into the application of UV LEDs for microbial and potential viral disinfection. It conducts an in-depth exploration of the various microorganism responses to UV radiation based on the existing literature. Furthermore, the review investigates UV LED-based systems for water purification and surface disinfection. A prospective design for a solar-powered UV LED disinfection system is also delineated. The primary objective of this review article is to organize and synthesize pivotal information from the literature, offering a concise and focused overview of LED applications. From our review, we can conclude that the efficiency of LEDs has continuously increased since its invention and researchers are searching for methods to increase efficiency further. The demand for LED lighting and display applications is continuously increasing. Our analysis reveals an exciting horizon in microbial disinfection, where the integration of UV LED systems with cutting-edge technologies such as sensors, solar power, Internet-of-Things (IoT) devices, and artificial intelligence algorithms promises high levels of precision and efficacy in disinfection practices. This contribution sets the stage for future research endeavors in the domain of viral disinfection using solar-powered UV LED modules for universal applications.
Antibacterial activity of thymoquinone derivative
Natural products such as terpenoidal compounds have been extremely tested against pathogenic bacteria. Researches are frequently carried out to find out new natural, semisynthetic and synthetic antibacterial agents due to problems of resistance. Thymoquinone derivative was obtained in our previous study and the current research is a continuation. The antibacterial activity of a monoterpenoid; thymoquinone derivative, 5-isopropyl-2-methyloxepine-1-one ( 1 ) has been evaluated for the first time by following the Agar cup bioassay method employed. The bacterial strains used in this study were Escherichia coli and Bacillus subtilis . Compound 1 showed moderate activity against Gram-positive organism; B . subtilis and good activity against Gram-negative species; E . coli with zones of inhibition (ZOI) 10.0 ± 0.2 mm and 11.0 ± 0.2 mm against E . coli and B . subtilis , respectively, and in comparison with antibiotic, imipenem. The zones of inhibition were calculated as the mean of the triplicate. The antibacterial activity of thymoquinone derivative 1 could be explained by the presence of unsaturated lactone.
Exploring Carboxamide Derivatives as Promising Anticancer Agents: Design, In Vitro Evaluation, and Mechanistic Insights
Carboxamide derivatives are a promising class of compounds in anticancer drug discovery, owing to their ability to interact with multiple oncogenic targets and their favorable pharmacological profiles. In this study, we report the design, synthesis, and biological evaluation of a series of N-substituted 1H-indole-2-carboxamides as potential anticancer agents. The synthesized compounds were assessed for antiproliferative activity using the MTT assay against MCF-7 (breast cancer), K-562 (leukemia), and HCT-116 (colon cancer) cell lines, with normal human dermal fibroblasts included as a non-cancerous control. Several compounds demonstrated notable cytotoxicity and selectivity. Compounds 12, 14, and 4 exhibited potent activity against K-562 cells, with IC50 values of 0.33 µM, 0.61 µM, and 0.61 µM, respectively. Compound 10 showed the most significant activity against HCT-116 cells (IC50 = 1.01 µM) with a high selectivity index (SI = 99.4). Moderate cytotoxicity was observed against MCF-7 cells. To elucidate the mechanism of action, molecular docking and induced-fit docking studies were conducted against key cancer-related targets, including topoisomerase–DNA (PDB ID: 5ZRF), PI3Kα (4L23), and EGFR (3W32), revealing favorable binding interactions. Additionally, principal component analysis of molecular descriptors indicated that the compounds possess promising drug-like and lead-like properties, particularly compound 10. Overall, this study highlights N-substituted indole-2-carboxamides as promising scaffolds for further optimization. The integration of synthetic chemistry, biological assays, and computational modeling provides a robust foundation for the continued development of these compounds as potential anticancer agents.
Global-level population genomics reveals differential effects of geography and phylogeny on horizontal gene transfer in soil bacteria
Although microorganisms are known to dominate Earth’s biospheres and drive biogeochemical cycling, little is known about the geographic distributions of microbial populations or the environmental factors that pattern those distributions. We used a global-level hierarchical sampling scheme to comprehensively characterize the evolutionary relationships and distributional limitations of the nitrogen-fixing bacterial symbionts of the crop chickpea, generating 1,027 draft whole-genome sequences at the level of bacterial populations, including 14 high-quality PacBio genomes from a phylogenetically representative subset. We find that diverse Mesorhizobium taxa perform symbiosis with chickpea and have largely overlapping global distributions. However, sampled locations cluster based on the phylogenetic diversity of Mesorhizobium populations, and diversity clusters correspond to edaphic and environmental factors, primarily soil type and latitude. Despite long-standing evolutionary divergence and geographic isolation, the diverse taxa observed to nodulate chickpea share a set of integrative conjugative elements (ICEs) that encode the major functions of the symbiosis. This symbiosis ICE takes 2 forms in the bacterial chromosome—tripartite and monopartite—with tripartite ICEs confined to a broadly distributed superspecies clade. The pairwise evolutionary relatedness of these elements is controlled as much by geographic distance as by the evolutionary relatedness of the background genome. In contrast, diversity in the broader gene content of Mesorhizobium genomes follows a tight linear relationship with core genome phylogenetic distance, with little detectable effect of geography. These results illustrate how geography and demography can operate differentially on the evolution of bacterial genomes and offer useful insights for the development of improved technologies for sustainable agriculture.
Feature-based volumetric defect classification in metal additive manufacturing
Volumetric defect types commonly observed in the additively manufactured parts differ in their morphologies ascribed to their formation mechanisms. Using high-resolution X-ray computed tomography, this study analyzes the morphological features of volumetric defects, and their statistical distribution, in laser powder bed fused Ti-6Al-4V. The geometries of three common types of volumetric defects; i.e., lack of fusions, gas-entrapped pores, and keyholes, are quantified by nine parameters including maximum dimension, roundness, sparseness, aspect ratio, and more. It is shown that the three defect types share overlaps of different degrees in the ranges of their morphological parameters; thus, employing only one or two parameters cannot uniquely determine a defect’s type. To overcome this challenge, a defect classification methodology incorporating multiple morphological parameters has been proposed. In this work, by employing the most discriminating parameters, this methodology has been shown effective when implemented into decision tree (>98% accuracy) and artificial neural network (>99% accuracy). Additively manufactured materials contain different types of volumetric defects. Here, the authors utilize the most distinguishing morphological features among different defect types to propose a defect classification methodology.
Genetic dissection of drought tolerance in chickpea (Cicer arietinum L.)
KEY MESSAGE : Analysis of phenotypic data for 20 drought tolerance traits in 1–7 seasons at 1–5 locations together with genetic mapping data for two mapping populations provided 9 QTL clusters of which one present on CaLG04 has a high potential to enhance drought tolerance in chickpea improvement. Chickpea (Cicer arietinum L.) is the second most important grain legume cultivated by resource poor farmers in the arid and semi-arid regions of the world. Drought is one of the major constraints leading up to 50 % production losses in chickpea. In order to dissect the complex nature of drought tolerance and to use genomics tools for enhancing yield of chickpea under drought conditions, two mapping populations—ICCRIL03 (ICC 4958 × ICC 1882) and ICCRIL04 (ICC 283 × ICC 8261) segregating for drought tolerance-related root traits were phenotyped for a total of 20 drought component traits in 1–7 seasons at 1–5 locations in India. Individual genetic maps comprising 241 loci and 168 loci for ICCRIL03 and ICCRIL04, respectively, and a consensus genetic map comprising 352 loci were constructed ( http://cmap.icrisat.ac.in/cmap/sm/cp/varshney/ ). Analysis of extensive genotypic and precise phenotypic data revealed 45 robust main-effect QTLs (M-QTLs) explaining up to 58.20 % phenotypic variation and 973 epistatic QTLs (E-QTLs) explaining up to 92.19 % phenotypic variation for several target traits. Nine QTL clusters containing QTLs for several drought tolerance traits have been identified that can be targeted for molecular breeding. Among these clusters, one cluster harboring 48 % robust M-QTLs for 12 traits and explaining about 58.20 % phenotypic variation present on CaLG04 has been referred as “QTL-hotspot”. This genomic region contains seven SSR markers (ICCM0249, NCPGR127, TAA170, NCPGR21, TR11, GA24 and STMS11). Introgression of this region into elite cultivars is expected to enhance drought tolerance in chickpea.
Neuroprotective effects of gemfibrozil in neurological disorders: Focus on inflammation and molecular mechanisms
Background Gemfibrozil (Gem) is a drug that has been shown to activate PPAR‐α, a nuclear receptor that plays a key role in regulating lipid metabolism. Gem is used to lower the levels of triglycerides and reduce the risk of coronary heart disease in patients. Experimental studies in vitro and in vivo have shown that Gem can prevent or slow the progression of neurological disorders (NDs), including cerebral ischemia (CI), Alzheimer's disease (AD), Parkinson's disease (PD), and multiple sclerosis (MS). Neuroinflammation is known to play a significant role in these disorders. Method The literature review for this study was conducted by searching Scopus, Science Direct, PubMed, and Google Scholar databases. Result The results of this study show that Gem has neuroprotective effects through several cellular and molecular mechanisms such as: (1) Gem has the ability to upregulate pro‐survival factors (PGC‐1α and TFAM), promoting the survival and function of mitochondria in the brain, (2) Gem strongly inhibits the activation of NF‐κB, AP‐1, and C/EBPβ in cytokine‐stimulated astroglial cells, which are known to increase the expression of iNOS and the production of NO in response to proinflammatory cytokines, (3) Gem protects dopamine neurons in the MPTP mouse model of PD by increasing the expression of PPARα, which in turn stimulates the production of GDNF in astrocytes, (4) Gem reduces amyloid plaque pathology, reduces the activity of glial cells, and improves memory, (5) Gem increases myelin genes expression (MBP and CNPase) via PPAR‐β, and (6) Gem increases hippocampal BDNF to counteract depression. Conclusion According to the study, Gem was investigated for its potential therapeutic effect in NDs. Further research is needed to fully understand the therapeutic potential of Gem in NDs. Neuroprotective effects of Gem on NDs. Gem exhibits neuroprotective properties by reducing inflammation, oxidative stress, and apoptosis in the brain. The mechanism of action involves modulating lipid metabolism, upregulating antioxidant enzymes, and inhibiting proinflammatory cytokines. Preclinical studies have shown that Gem treatment protects neurons, promotes neurite outgrowth, and improves cognitive function in animal models of neurodegenerative diseases like Alzheimer's and Parkinson's.
The Impact of Vitamin E Supplementation on Oxidative Stress, Cognitive Functions, and Aging‐Related Gene Expression in Aged Mice
This study investigated the effects of different doses of vitamin E on oxidative stress, cognitive function, and gene expression in aged mice. A total of 32 male mice, aged 12 months, were divided into a control group and three treatment groups. These groups received varying daily doses of vitamin E for a period of 28 days. The results showed significant improvements in cognitive function, specifically in working memory and spatial learning, in the groups that received vitamin E (100, 200, or 400 mg/kg) compared to the control group. The markers of oxidative stress and antioxidant enzyme activities also demonstrated improvements, with higher doses of vitamin E showing greater effects. The analysis of gene expression revealed increased expression of SIRT1, Nrf2, and Calstabin2, particularly at higher doses of vitamin E. These findings suggest that vitamin E supplementation may help counteract age‐related cellular changes. The study concludes that vitamin E supplementation can reduce oxidative stress, enhance cognitive function, and affect genetic markers of aging in mice, which may have therapeutic benefits in addressing age‐related cognitive decline and oxidative damage. Further research is necessary to investigate the clinical implications of these findings in humans. Vitamin E supplementation enhanced working memory and spatial learning, decreased oxidative stress, and positively affected the expression of key aging‐related genes such as SIRT1, Nrf2, and Calstabin2. The benefits of vitamin E were found to be dose‐dependent, with higher doses yielding more significant improvements. Additionally, vitamin E influenced the activity of antioxidant enzymes like SOD and GPX and reduced levels of MDA, a marker of oxidative stress. The study highlights the potential of vitamin E supplementation in mitigating age‐related changes in the heart and brain, though further research is needed to confirm these findings and explore clinical applications.
A comprehensive view on the apigenin impact on colorectal cancer: Focusing on cellular and molecular mechanisms
Colon cancer (CC) is one of the most common and deadly cancers worldwide. Oncologists are facing challenges such as development of drug resistance and lack of suitable drug options for CC treatment. Flavonoids are a group of natural compounds found in fruits, vegetables, and other plant‐based foods. According to research, they have a potential role in the prevention and treatment of cancer. Apigenin is a flavonoid that is present in many fruits and vegetables. It has been used as a natural antioxidant for a long time and has been considered due to its anticancer effects and low toxicity. The results of this review study show that apigenin has potential anticancer effects on CC cells through various mechanisms. In this comprehensive review, we present the cellular targets and signaling pathways of apigenin indicated to date in in vivo and in vitro CC models. Among the most important modulated pathways, Wnt/β‐catenin, PI3K/AKT/mTOR, MAPK/ERK, JNK, STAT3, Bcl‐xL and Mcl‐1, PKM2, and NF‐kB have been described. Furthermore, apigenin suppresses the cell cycle in G2/M phase in CC cells. In CC cells, apigenin‐induced apoptosis is increased by inhibiting the formation of autophagy. According to the results of this study, apigenin appears to have the potential to be a promising agent for CC therapy, but more research is required in the field of pharmacology and pharmacokinetics to establish the apigenin effects and its dosage for clinical studies.