Explore the vast range of titles available.

هدفت الدراسة إلى تعرف على معوقات توظيف التكنولوجيا الإدارية في التخطيط الاستراتيجي، من وجهة نظر القيادات الإدارية بوزارة التربية والتعليم في سلطنة عمان، بالإضافة إلى وضع إجراءات مقترحة للتغلب على معوقات توظيف أبعاد التكنولوجيا الإدارية في التخطيط الاستراتيجي بالوزارة. ولقد تألفت العينة من 40 فردًا من القيادات الإدارية حسب المسمى الوظيفي، وتوصلت الدراسة إلى أن ارتفاع التكاليف المالية لتبني تقنيات، وبرمجيات حديثة، من المعوّقات التي حصلت على المرتبة الأولى، لتوظيف أبعاد التكنولوجيا الإدارية في التخطيط الاستراتيجي، كما توجد معوقات أخرى تعيق توظيفها. وفيما يتعلق بالإجراءات المقترحة للتغلب على معوقات توظيف أبعاد التكنولوجيا الإدارية في التخطيط الاستراتيجي، اتفق أفراد عينة الدراسة على أن أبرزها يتوافق مع الأبعاد الثلاثة للتكنولوجيا الإدارية: وهي بناء قاعدة بيانات متطورة ومحدثة للتخطيط الاستراتيجي مما يسهل من تداول المعلومات، القيام بدورات تدريبية مستمرة تتعلق بالتكنولوجيا الإدارية الحديثة، ودعم مشاركة المنفذين للخطة الاستراتيجية، وتحملهم مسؤولية النتائج المترتبة عليها. وعلى ضوء الدراسة الميدانية والاطلاع على الأدب النظري وجهود السلطنة، تم وضع توصيات خاصة مرتبطة بالأبعاد الثلاثة للتكنولوجيا الإدارية، وتوصيات عامة للتغلب على معوقات توظيف أبعاد التكنولوجيا الإدارية في التخطيط الاستراتيجي بوزارة التربية والتعليم في سلطنة عمان.

هدفت الدراسة إلى تعرف على معوقات توظيف التكنولوجيا الإدارية في التخطيط الاستراتيجي، من وجهة نظر القيادات الإدارية بوزارة التربية والتعليم في سلطنة عمان، بالإضافة إلى وضع إجراءات مقترحة للتغلب على معوقات توظيف أبعاد التكنولوجيا الإدارية في التخطيط الاستراتيجي بالوزارة. ولقد تألفت العينة من 40 فردًا من القيادات الإدارية حسب المسمى الوظيفي، وتوصلت الدراسة إلى أن ارتفاع التكاليف المالية لتبني تقنيات، وبرمجيات حديثة، من المعوّقات التي حصلت على المرتبة الأولى، لتوظيف أبعاد التكنولوجيا الإدارية في التخطيط الاستراتيجي، كما توجد معوقات أخرى تعيق توظيفها. وفيما يتعلق بالإجراءات المقترحة للتغلب على معوقات توظيف أبعاد التكنولوجيا الإدارية في التخطيط الاستراتيجي، اتفق أفراد عينة الدراسة على أن أبرزها يتوافق مع الأبعاد الثلاثة للتكنولوجيا الإدارية: وهي بناء قاعدة بيانات متطورة ومحدثة للتخطيط الاستراتيجي مما يسهل من تداول المعلومات، القيام بدورات تدريبية مستمرة تتعلق بالتكنولوجيا الإدارية الحديثة، ودعم مشاركة المنفذين للخطة الاستراتيجية، وتحملهم مسؤولية النتائج المترتبة عليها. وعلى ضوء الدراسة الميدانية والاطلاع على الأدب النظري وجهود السلطنة، تم وضع توصيات خاصة مرتبطة بالأبعاد الثلاثة للتكنولوجيا الإدارية، وتوصيات عامة للتغلب على معوقات توظيف أبعاد التكنولوجيا الإدارية في التخطيط الاستراتيجي بوزارة التربية والتعليم في سلطنة عمان.

Electric vehicles (EVs) have become popular in reducing the negative impact of ICE automobiles on the environment. EVs have been predicted to be an important mode of mass transit around the globe in recent years. Several charging stations in island and remote areas are dependent on off-grid power sources and renewable energy. Solar energy is used in the daytime as it is based on several environmental components. The creation of efficient power trackers is necessary for solar arrays to produce power at their peak efficiency. To deliver energy during emergencies and store it in case there is an excess, energy storage systems are required. It has long been known that reliable battery management technology is essential for maintaining precise battery charge levels and avoiding overcharging. This study suggests an ideal deep-learning-assisted solar-operated off-board smart charging station (ODL-SOOSCS) design method as a result. The development of on-board smart charging for mass transit EVs is the main goal of the ODL-SOOSCS technique that is being described. In the ODL-SOOSCS approach described here, a perovskite solar film serves as the generating module, and the energy it generates is stored in a module with a hybrid ultracapacitor and a lithium-ion battery. Broad bridge converters and solar panels are incorporated into the deep belief network (DBN) controller, which doubles as an EV charging station. An oppositional bird swarm optimization (OBSO) algorithm is used as a hyperparameter optimizer to improve the performance of the DBN model. Moreover, an MPPT device is exploited for monitoring and providing maximal output of the solar panel if the power sources are PV arrays. The proposed system combines the power of metaheuristic optimization algorithms with deep learning techniques to create an efficient and smart charging station for mass transport passenger vehicles. This integration of two powerful technologies is a novel approach toward solving the complex problem of charging electric vehicles in mass transportation systems. The experimental validation of the ODL-SOOSCS technique is tested on distinct converter topologies. A widespread experimental analysis assures the promising performance of the ODL-SOOSCS method over other current methodologies.

A high bituminous shale horizon from the Gurha mine in the Bikaner sub-basin of the Rajasthan District, NW India, was studied using a collection of geochemical and petrological techniques. This study investigated the nature and environmental conditions of the organic matter and its relation to the unconventional oil-shale resources of the bituminous shale. The analyzed shales have high total organic carbon and total sulfur contents, suggesting that these shale sediments were deposited in a paralic environment under reducing conditions. The dominant presence of organic matter derived from phytoplankton algae suggests warm climatic marine environment, with little connection to freshwater enhancing the growth of algae and other microorganisms. The analyzed bituminous shales have high aquatic-derived alginite organic matters, with low Pr/Ph, Pr/ n -C 17 , and Ph/ n -C 18 ratios. It is classified as Type II oil-prone kerogen, consistent with high hydrogen index value. Considering the maturity indicators of geochemical T max (< 430 °C) and vitrinite reflectance values less than 0.40%VRo, the analyzed bituminous shale sediments are in an immature stage of the oil window. Therefore, the oil-prone kerogen Type II in the analyzed bituminous shales has not been cracked by thermal alteration to release oil; thus, unconventional heating is recommended for commercial oil generation.

Climate control in a pixel non-uniformity metro system includes regulating the air, humidity, and temperature quality within metro trains and stations to ensure passenger comfort and safety. The climate control system in a PNU metro system combines intelligent algorithms, energy-efficient practices, and advanced technologies to make a healthy and comfortable environment for passengers while reducing energy consumption. The proposed an automated climate control using an improved salp swarm algorithm with an optimal ensemble learning technique examines the underlying factors, including indoor air temperature, wind direction, indoor air relative humidity, light sensor 1 (wavelength), return air relative humidity, supply air temperature, wind speed, supply air relative humidity, airflow rate, and return air temperature. Moreover, this new proposed technique applies ISSA to elect an optimal set of features. Then, the climate control process takes place using an ensemble learning approach comprising long short-term memory, gated recurrent unit, and recurrent neural network. Lastly, the Harris hawks optimization algorithm can be employed to adjust the hyperparameters related to the ensemble learning models. The extensive results demonstrated the supremacy of the proposed algorithms over other approaches to the climate control process on PNU metro systems.

The authors would like to make the following corrections to the published paper [...]

Staphylococcus aureus and methicillin-resistant Staphylococcus aureus (MRSA) are classified as high-risk infections that can lead to death, particularly among older individuals. Nowadays, plant nanoparticles such as glycyrrhizic acid are recognized as efficient bactericides against a wide range of bacterial strains. Recently, scientists have shown interest in plant extract nanoparticles, derived from natural sources, which can be synthesized into nanomaterials. Interestingly, glycyrrhizic acid is rich in antioxidants as well as antibacterial agents, and it exhibits no adverse effects on normal cells. In this study, glycyrrhizic acid nanoparticles (GA-NPs) were synthesized using the hydrothermal method and characterized through physicochemical techniques such as UV–visible spectrometry, DLS, zeta potential, and TEM. The antimicrobial activity of GA-NPs was investigated through various methods, including MIC assays, anti-biofilm activity assays, ATPase activity assays, and kill-time assays. The expression levels of mecA, mecR1, blaR1, and blaZ genes were measured by quantitative RT-qPCR. Additionally, the presence of the penicillin-binding protein 2a (PBP2a) protein of S. aureus and MRSA was evaluated by a Western blot assay. The results emphasized the fabrication of GA nanoparticles in spherical shapes with a diameter in the range of 40–50 nm. The data show that GA nanoparticles exhibit great bactericidal effectiveness against S. aureus and MRSA. The treatment with GA-NPs remarkably reduces the expression levels of the mecA, mecR1, blaR1, and blaZ genes. PBP2a expression in MRSA was significantly reduced after treatment with GA-NPs. Overall, this study demonstrates that glycyrrhizic acid nanoparticles have potent antibacterial activity, particularly against MRSA. This research elucidates the inhibition mechanism of glycyrrhizic acid, which involves the suppressing of PBP2a expression. This work emphasizes the importance of utilizing plant nanoparticles as effective antimicrobial agents against a broad spectrum of bacteria.

Nonalcoholic fatty liver disease (NAFLD) is a major hepatic disorder occurring in non-alcohol-drinking individuals. Salvianic acid A or Danshensu (DSS, 3-(3, 4-dihydroxyphenyl)-(2R)-lactic acid), derived from the root of Danshen (Salvia miltiorrhiza), has demonstrated heart and liver protective properties. In this work, we investigated the antioxidant activity and hepatoprotective activity of Danshensu alone and in combination with different agents, such as probiotic bacteria (Lactobacillus casei and Lactobacillus acidophilus), against several assays. The inhibition mechanism of the methylation gene biomarkers, such as DNMT-1, MS, STAT-3, and TET-1, against DSS was evaluated by molecular docking and RT-PCR techniques. The physicochemical and pharmacokinetic ADMET properties of DSS were determined by SwissADME and pkCSM. The results indicated that all lipid blood test profiles, including cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C), were reduced after the oral administration of Danshensu combined with probiotics (L. casei and L. acidophilus) that demonstrated good, efficient free radical scavenging activity, measured using anti-oxidant assays. ADMET and drug-likeness properties certify that the DSS could be utilized as a feasible drug since DSS showed satisfactory physicochemical and pharmacokinetic ADMET properties.

Background Polycystic ovary syndrome (PCOS) is a common reproductive endocrine disorder characterized by obesity, hyperandrogenism, and insulin resistance (IR). MicroRNAs (miRNAs) are small noncoding RNA associated with ovarian follicle development and female fertility. The objective of this study was to investigate the role of miRNA- 320 and its target gene endothelin-1 (ET-1) as a noninvasive biomarker of PCOS and to evaluate its possible relationship with IR as well as clinic-morphological features of PCOS. Methods Case-control study enrolled 60 patients with PCOS and 40 control group. We subdivided our PCOS women according to homeostasis model assessments of insulin resistance (HOMA-IR) to PCOS women with and without IR.ET-1 levels were measured by ELISA. We estimated the serum expression level of miRNA- 320 by real-time polymerase chain reaction. Results Our results revealed that serum miR-320 expression level was lower in PCOS patients compared to controls, in particular, PCOS women with IR. Moreover, it was negatively correlated to its target gene; ET-I as well as fasting serum insulin (FSI), HOMA-IR, PCOS phenotype; hirsutism score, ovarian volume and antral follicle count (AFC). In the PCOS group, linear regression analysis revealed that only hirsutism and HOMA-IR was the main predictor of expression levels of miRNA − 320 among other clinical and laboratory biomarkers of PCOS. The sensitivity and specificity of serum miR-320 expression levels in diagnosis PCOS was 80, and 97.5% respectively. Conclusion The Expression serum levels of miR-320 were lower in PCOS compared to control and it could be a noninvasive diagnostic biomarker of PCOS.