Browse Articles

DSS-YOLO: an improved lightweight real-time fire detection model based on YOLOv8

The use of artificial neural network algorithms to enhance tourism economic efficiency under information and communication technology

Temperature-dependent phase transition microemulsions for enhanced transdermal delivery of finasteride and silodosin

Clinical and molecular spectrum of TK2-deficiency: a large Brazilian cohort

An experimental analysis of the performance of direct absorption parabolic trough collectors with laser-processed copper surfaces

RT-QuIC detection of chronic wasting disease prions in third eyelids from white-tailed deer

Economic and technical analysis of hydrogen production and transport: a case study of Egypt

Abstract This study investigates the economic, technical, and logistical aspects of hydrogen production, with a particular focus on Egypt’s potential to emerge as a global hydrogen leader. The research is motivated by Egypt’s abundant renewable resources, strategic location, and increasing interest in hydrogen as a cornerstone of the energy transition. Using the Hydra simulation model developed in MATLAB/Simulink, the study evaluates the Levelized Cost of Hydrogen (LCOH) and Levelized Supply Costs of Hydrogen (LSCOH) across various scenarios, spanning from 2024 to 2050. These scenarios incorporate factors such as economic growth, technological advancements, energy policies, and infrastructure developments. Projections indicate that the hydrogen demand in Egypt is expected to reach 6.0 million tons by 2050, including both domestic consumption and export potential. Egypt’s low hydrogen production costs (4.5/kg) and strategic location position it to meet growing domestic demand while supporting exports. Comparative analyses with countries including France, Italy, Saudi Arabia, the UAE, Libya, and Jordan highlight Egypt’s competitive advantage, driven by its abundant solar and wind resources. The novel integration of LCOH and LSCOH methodologies, contextualized by Egypt’s renewable energy potential, fills a critical gap in the literature and offers a comprehensive framework for evaluating hydrogen production and trade competitiveness. The findings emphasize the importance of robust policy frameworks, including substantial incentives for renewable energy projects, de-risking mechanisms, and measures to reduce transport costs, in realizing Egypt’s hydrogen potential. Furthermore, the study explores the environmental and geopolitical implications of hydrogen production, underscoring Egypt’s strategic role in the global energy market. The results provide actionable insights for policymakers and industry stakeholders to position Egypt as a leader in hydrogen production, contributing significantly to the global energy transition.

DNA metabarcoding and its potential in microbial risk assessment in waste sorting plants

Abstract Exposure to hazardous microorganisms during waste handling is a potential health concern. Molecular biological techniques provide means of profiling the microbial community at high taxonomic resolution, allow the identification of critical human pathogens on the species level and thereby aid the risk assessment of work tasks. The present study used high-throughput sequencing to characterise the microbiome in personal full-shift air samples collected at contemporary waste sorting plants (WSPs) and identified large variations in community composition within (alpha diversity) and between (beta diversity) WSPs. Seasonality did not contribute to differences in the community composition. Cladosporium sp. was dominant among fungi, whereas Aerococcus sp. was dominant among bacteria. The personal air-samples contained potential human pathogens, such as Aspergillus sp., Fusarium sp. and Enterobacteriaceae, that encompass strains with the potential to develop drug-resistance. This study provided characterization of the microbial community composition of personal bioaerosol samples and provided evidence for the occurrence of potential human pathogens in contemporary waste sorting plants. Furthermore, this study highlighted the potential of microbial metabarcoding to detect critical human pathogens that may be encountered in working environments.

The epidemiology of uveitis: comparison of its causes and visual outcomes between three-tiered medical facilities in Ube city

Non-communicable diseases challenges and opportunities in Iran: a qualitative study

Development and validation of a risk score for predicting 30-day mortality in patients with ST elevation myocardial infarction

A comparison of art engagement in museums and through digital media

Analysis of time-fractional cancer-tumor immunotherapy model using modified He-Laplace algorithm

A lightweight algorithm for steel surface defect detection using improved YOLOv8

Bioactivity of Juglans regia kernel extracts optimized using response surface method and artificial neural Network-Genetic algorithm integration

Abstract In this study, the biological activities of the extracts obtained under optimum extraction conditions of the kernel part of Juglans regia L. were determined. Two different methods, Response Surface Method (RSM) and Artificial Neural Network-Genetic Algorithm (ANN-GA) integration, were used for optimization. The antioxidant capacity of the extracts obtained under the extract conditions suggested by the two methods was evaluated by Rel Assay kits, DPPH and FRAP methods. Anticholinesterase activities of the optimized extracts were measured by the action of acetylcholinesterase and butyrylcholinesterase enzymes. Antiproliferative effects of the extracts were tested on A549 lung cancer cell line. Phenolic compounds were analyzed by LC-MS/MS. It was determined that both extracts exhibited strong activities against A549 lung cancer cell line depending on the concentration increase. In addition, it was determined that both extracts exhibited acetyl and butyrylcholinesterase inhibition activity close to galantamine used as a standard. In both extracts, 13 compounds including gallic acid, catechinhyrate, 4-hydroxybenzoic acid, caffeic acid, vanillic acid, syringic acid, 2-hydoxycinamic acid, resveratrol, myricetin, quercetin, kaempferol, protocatechuic acid and 2-hyroxy1,4 naphthaquinone were identified. It was determined that the extract obtained under the conditions predicted by ANN-GA exhibited higher activities in general.

Optimization of combined subcritical water and CO2 extraction for enhanced phenolics and antioxidant activity from coffee byproducts

Soil quality changes in the Horqin sandy area under different ecological restoration patterns

Proinflammatory cytokines, oxidative stress, and organ function as biomarkers of soman (GD) chronic neurotoxicity

Thyroid function and multiple sclerosis: a two-sample mendelian randomization study and mediation analysis

Revolutionizing healthcare leadership the critical role of digital citizenship in knowledge sharing

Abstract This study explores the relationship between digital leadership (DLR), visionary leadership (VSL), and knowledge sharing (KNS) among healthcare professionals in Pakistan, focusing on the mediating role of digital citizenship behavior (DCZ). As leadership becomes increasingly crucial for promoting knowledge sharing in healthcare, understanding how DLR and VSL facilitate this behavior particularly through digital citizenship is essential. A quantitative approach was employed, gathering data from 202 healthcare professionals via a structured questionnaire assessing DLR, VSL, DCZ, and KNS. Structural equation modeling (SEM) was used to analyze the relationships and test the mediating effect of DCZ. Findings reveal significant positive relationships between both DLR and VSL with KNS. Notably, DCZ partially mediates the relationship between DLR and KNS, with a stronger mediation effect observed in this context. In the VSL-KNS relationship, DCZ’s mediation was confirmed and indicating partial mediation. These results underscore the importance of fostering digital citizenship behaviors to enhance knowledge sharing, providing valuable insights for leadership development programs aimed at improving organizational performance in healthcare settings.