Search Results (397)

Artificial intelligence has become one of the major driving forces for business change in the modern business world. This study focuses on the link between marketing strategies, such as social media marketing and content marketing, and business sustainability, and on the role of artificial intelligence as a mediator for SMEs in Nablus. This research used a survey design based on 373 employees working for SMEs mainly based in Nablus. This research used exploratory and confirmatory factor analyses to validate the measurement model, and structural equation modeling and SPSS v.25 PROCESS macro analysis to verify the proposed relationships. This research found that marketing strategies positively link to business sustainability; the strongest direct link was found for content marketing. Artificial intelligence also significantly mediated the relationships between social media marketing and content marketing and business sustainability. This research highlights the importance of incorporating artificial intelligence into marketing strategies to improve the effectiveness of marketing strategies and support decisions for enhancing business sustainability for SMEs in emerging economies. Full article

Background: Premenstrual syndrome (PMS) significantly impacts daily functioning among women of reproductive age. Medical and nursing students face exceptional stressors that may exacerbate PMS, yet the interrelationships between sleep quality, perceived stress, and PMS remain understudied in Middle Eastern contexts. This study aimed to investigate the relationships between sleep quality, perceived stress, and self-reported PMS symptoms among Palestinian female medical and nursing students, to assess their prevalence and severity, and to examine variations across sociodemographic and lifestyle factors. Methods: This cross-sectional correlational study recruited 708 female medical and nursing students from three Palestinian universities. Validated Arabic instruments assessed sleep quality (PSQI), perceived stress (PSS-10), and PMS symptoms (A-PMSS). Analyses included Spearman’s correlations, non-parametric tests (Mann–Whitney U Test, Kruskal–Wallis Test), and multivariable linear regression. Results: Nearly all participants (98%) reported some degree of self-reported PMS symptoms at any severity level, with 76% experiencing moderate-to-severe symptoms. Poor sleep quality (PSQI > 5) affected 62.1%, while 94.5% reported moderate-to-high perceived stress. Significant positive correlations were identified between PSQI and PMS (rho = 0.295, p < 0.001) and between PSS-10 and PMS (rho = 0.483, p < 0.001). Multivariable regression revealed that perceived stress and sleep quality were significant independent predictors of PMS severity after adjusting for covariates, with the overall model explaining 27.5% of variance in PMS scores. Conclusions: This study reveals a substantial burden of PMS, poor sleep quality, and stress among Palestinian female medical and nursing students. Perceived stress and sleep quality were independently associated with PMS severity. These findings highlight need for integrated wellness programs in healthcare education for Palestinian students. Full article

Background: Repeated brain computed tomography (CT) scans in children may result in substantial cumulative radiation exposure, particularly in young children, who are more sensitive to ionizing radiation. The purpose of the study was to assess the dose levels of radiation in patients who receive repeated brain CT during childhood and adherence rates to pediatric imaging protocols. Methods: A retrospective cross-sectional study was conducted among 177 patients aged ≤5 years who underwent two or more brain CT examinations with a total of 514 CT examinations. The information was gathered through the hospital Picture Archiving and Communication System (PACS), which included patient demographics, scan parameters, and scanner-reported dose indicators such as volume-averaged computed tomography dose index (CTDIvol) and dose-length product (DLP). The effective dose (ED) was calculated and compared with estimated doses based on a nominal pediatric CT protocol. Results: The findings indicated a great variation in scan parameters, with CTDIvol values of 8.9 to 51.7 mGy and DLP values of 177 to 1310 mGy.cm. The number of repeated scans showed a great increase in the cumulative ED (p < 0.001). The median doses in patients below the age of one year were greater than those in older children. There was also a closer relation of scanner-reported doses to adult protocols, which suggests a lack of an optimized pediatric setting. Conclusions: Children under 5 who undergo repeated brain CT scans may face excessive radiation exposure. The matter is aggravated by the fact that scans are performed repeatedly without optimization of the dose, which leads to significant cumulative ED. Full article

Fusarium oxysporum f. sp. lycopersici (FOL) is one of the most destructive soil-borne pathogens affecting tomato production worldwide, causing substantial yield losses and persisting in soil for extended periods. The increasing regulatory restrictions on chemical fungicides and the emergence of resistant pathogen strains have intensified the search for sustainable and environmentally friendly alternatives. This systematic review synthesizes studies published between 2000 and 2025 that evaluated the antifungal efficacy of essential oils (EOs), their bioactive constituents, and EO-based nanoformulations against FOL in tomato. A total of 40 studies were included, following the PRISMA 2020 guidelines, encompassing in vitro, greenhouse, and limited field evaluations. Many EOs rich in phenolic compounds and oxygenated monoterpenes, such as thymol, carvacrol, eugenol, citral, and menthol, consistently inhibited FOL growth and spore germination, with reported mycelial growth inhibition ranging from 60 to 100% and minimum inhibitory concentrations (MICs) between 0.05 and 1.5 µL ml⁻¹. However, the use of EOs is often limited because they evaporate quickly, do not mix well with water, can harm plants, and do not persist under field conditions. Nano-delivery systems, including nanoemulsions, polymeric nanoparticles, chitosan-based carriers, and lipid-based nanostructures, have been shown to enhance the stability, bioavailability, and antifungal efficacy of EOs. This has led to improved disease management and reduced pesticide application rates. In addition, several EO-based treatments have been reported to activate plant defense responses, including the induction of defense-related genes, antioxidant enzymes, and epigenetic modifications. Overall, EO-based nanoformulations show promise as next-generation biopesticides for the sustainable management of tomato Fusarium wilt. Nevertheless, large-scale field validation, standardized formulation protocols, and regulatory assessments are required before these technologies can be widely implemented in agriculture. Full article

The Jordan Valley is a heavily modified, data-limited transboundary river basin where water availability is constrained by both climate conditions and intensive human intervention. This study applies an integrated hydrological and hydrogeochemical modeling framework using the Soil and Water Assessment Tool (SWAT) to quantify basin-scale water availability and quality and to assess climate change impacts for the period 2000–2021. Results indicate that the basin is strongly evapotranspiration-dominated, with mean annual precipitation of 298.9 mm and precipitation-derived evapotranspiration accounting for 66.3% of rainfall. When externally supplied irrigation water is included, total evapotranspiration increases markedly, highlighting the strong dependence of agriculture on imported surface water and groundwater abstractions. Only a small fraction of total water input contributes to river discharge toward the Dead Sea, indicating a very limited internal water surplus. Hydrological dynamics are largely controlled by upstream dams and transboundary diversions, while nitrate and sediment simulations demonstrate a close coupling between hydrology, land use, and water quality. Climate projections suggest further reductions in water availability during the 21st century, exacerbating existing water scarcity. Overall, the study illustrates how intensive regulation and irrigation dependency constrain water availability in the Jordan Valley and in similar heavily modified transboundary river basins. Full article

The round sardinella (Sardinella aurita Valenciennes, 1847) is a widely distributed migratory pelagic fish inhabiting the Mediterranean Sea and the eastern Atlantic coasts. The species is heavily exploited and represents a valuable resource for global fisheries. In the Mediterranean area, uptakes of round sardinella are particularly high in the Ionian and Levant regions, where landings have shown fluctuating yet significant peaks in recent decades. Given its migratory nature, understanding the connectivity among populations is crucial for delineating appropriate fishery management units. Previous studies employing morphometric, meristic, and molecular analyses have yielded mixed results regarding population structuring. Here, the genetic differentiation among Eastern Mediterranean S. aurita populations was investigated using a multi-marker approach: the mitochondrial cytochrome c oxidase subunit I (COI), cytochrome b (CytB), control region (CR), and 16S ribosomal RNA (16S rRNA), and seven species-specific nuclear simple sequence repeats (SSRs). Overall, the results indicate high genetic diversity coupled with weak population structuring across the Eastern Mediterranean. These analyses aim at clarifying stock boundaries towards supporting sustainable management strategies at a regional scale for this ecologically and economically important species. Full article

Background: Fast excitatory transmission in the central nervous system is carried out by AMPA-type glutamate receptors. Neuronal hyperexcitability and epilepsy have been associated with the dysregulation of AMPA receptor function. Modulation of the gating kinetics of AMPA receptor function has been proposed to be a desirable target for therapy, especially when the modulation is transmembrane AMPA receptor regulatory protein (TARP)-dependent and AMPA receptor subunit composition-dependent. Methods: Eight dibenzobarrelene-based heterocycles were characterized for their effects on the human embryonic kidney cells expressing homomeric GluA1 and heteromeric GluA1/2 AMPA receptors, either alone or co-expressed with the TARPγ8 auxiliary subunit, using whole-cell patch-clamp electrophysiological recordings, and the current amplitude and kinetics of desensitization and deactivation were measured after rapid glutamate application. Results: Each chemical evaluated suppressed glutamate-induced currents via AMPA receptors and augmented both desensitization and deactivation, indicating a negative allosteric modulatory effect. The co-expression of TARPγ8 diminished, but did not eradicate, the inhibition and acceleration induced by the compounds. The observations indicate that the chemicals diminish agonist-bound open states and facilitate transitions to non-conducting states while maintaining effectiveness. Conclusions: The present study describes a specific kinetic mechanism by which dibenzobarrelene derivatives impair the function of the AMPA receptor and its dependence on auxiliary proteins. The present study provides a mechanistic understanding of AMPA receptor gating modulation and establishes a pharmacological framework for future investigations in more physiologically relevant systems. Full article

Dynamic Message Signs (DMSs) play a critical role in conveying real-time traffic information to drivers; however, their effectiveness heavily relies on how messages are structured and displayed, particularly regarding phasing duration and content length. This study examines the influence of these two factors on driver readability, comprehension, and gaze behavior using an advanced virtual reality (VR) driving simulator. Controlled experiments simulated four DMS scenarios, combining two phasing intervals (2.5 and 4 s) with short and long message formats, adhering to Michigan Department of Transportation (MDOT) guidelines. The experiment integrated eye-tracking technology to measure fixation duration and frequency, while statistical methods, including survival analysis and LASSO regression, were employed to identify significant predictors of message readability. Results revealed that shorter messages with shorter phasing intervals led to the highest comprehension rates and reduced cognitive strain. Furthermore, individual characteristics such as gender, driving speed, and highway driving experience significantly affected how drivers engaged with DMS messages. These findings contribute to the development of more effective DMS deployment strategies and provide practical design recommendations to enhance traffic safety and information delivery on high-speed roadways. Full article

Background: Survival rates of pediatric and childhood cancer are about 80% in 5 years, which suggests that side effects may appear a while after oncological treatment and can be associated with other health impairments. Early rehabilitation interventions, such as exercise-based physiotherapy, help reduce side effects and maintain an adequate physical condition, thereby improving daily capacity and health-related quality-of-life (HRQoL). The purpose of this systematic review with meta-analysis is to demonstrate which are the most common strategies performed in child and adolescent survivors of childhood cancer to improve their HRQoL and their physical condition. Methods: Two reviewers searched four databases to identify studies that evaluated the effects of physiotherapy and exercise interventions in child and adolescent survivors of childhood cancer. Results: Nine studies performing different exercise interventions were included. The most commonly evaluated outcomes were HRQoL, fatigue, and depression. Seven studies were included in the meta-analysis, with no significant results achieved. Conclusions: Aerobic interventions are the most common strategies performed in child and adolescent survivors of childhood cancer to improve their HRQoL. Depression and fatigue seem to improve with these interventions, but more research is needed to confirm these results. Our meta-analysis revealed inconsistent results supporting the use of exercise interventions in this population. Full article

The indole scaffold is common in natural products and bioactive compounds, including anti-cancer and anti-inflammatory medicines. In this work, a series of indole-acrylamide derivatives was synthesized, and their antiproliferative and anti-inflammatory effects were evaluated on COX enzymes and against a panel of cancer cell lines. All the final compounds were characterized via HRMS and (¹H & ¹³C)-NMR. Anticancer and anti-inflammatory activities were evaluated using standard biomedical techniques by SRB, MTS, and COX kit assays. Additionally, the molecular docking analysis was conducted using the AutoDock Vina tool. The results demonstrated that the produced compounds displayed significant inhibitory effects on the COX-2 enzyme, with IC₅₀ values of 128 nM to 1.04 µM. 6a demonstrated significant COX-2 selectivity with an IC₅₀ of 128 nM and an SI of 352, highlighting its preference for COX-2 over COX-1. 6c exhibited potent COX-2 inhibition with an IC₅₀ of 0.215 µM and an SI of 10.6. The assessed compounds exhibited substantial cytotoxic effects on cancer cells, especially against liver cancer cell lines (Huh7, HepG2, Mahlavu, and SNU475), and breast cancer (MCF-7). 6d compound was the most COX-1 selective inhibitor, which observed potent activity against hepatocellular carcinoma, with IC₅₀ values as low as 3.5 µM, and was highly effective against MCF-7. Additionally, COX-2 selective inhibitors, 6a and 6b, exhibited strong antiproliferative effects against both breast cancer (MCF-7) and melanoma (B16F1), with IC₅₀ values ranging from 4.75 to 15.4 µM. Furthermore, the molecular docking of 6a demonstrated a strong affinity for the COX-2 enzyme, with energy scores (S) of −8.392 kcal/mol, comparable to celecoxib’s score of −10.96 kcal/mol. The findings suggest a possible correlation between COX-2 inhibition and anticancer efficacy, especially for compounds 6a and 6c, which demonstrate excellent COX-2 selectivity and notable antiproliferative effects, positioning them as prospective candidates for further advancement in cancer treatment. Full article

Electric scooters and other micromobility innovations are becoming standard fare in urban transportation networks. Yet there are several obstacles that must be overcome, including concerns about users’ satisfaction and safety. This study aimed primarily at developing a user-centered methodological framework that combined different user-centered engineering tools such as voice of customers analysis, needs–metrics mapping, Pugh’s matrix and morphological design, strategic analysis approaches such as SWOT and PESTEL, and, a key innovation, the smart terrain-adaptive power management system (STAPMS), an AI-based feature that dynamically adjusts power output and regenerative braking based on Budapest’s varied topography and road conditions to improve energy efficiency and ride comfort. This innovative framework offers insights into redesign options aimed at enhancing customer satisfaction, product quality, and business growth. The proposed framework was validated on Lime electric scooters, particularly the S2 generation type. Three design concepts were generated and evaluated through a systematic approach to provide an optimal balance between users’ needs, technical performance, and strategic feasibility. The proposed user-centered framework shows significant potential to improve users’ satisfaction, enhanced usability, extended range, and increased market competitiveness, validating its viability for micromobility innovative solutions. The findings also demonstrate the necessity for systematic frameworks that link user experience with engineering design and can be generalized to other micromobility products. Full article

Background: Melanoma outcomes have improved in recent years as a result of modern systemic therapies. A major molecular feature of melanoma is abnormal telomerase activation; this is most often caused by telomerase reverse transcriptase (TERT) promoter mutations, which occur in 50–82% of cases and are the most common noncoding alteration in this cancer. Telomerase maintains telomere length, allowing melanoma cells to avoid senescence and continue dividing. However, how telomerase activity influences melanoma cell doubling time remains unclear, and the pathways linking TERT expression to faster cell-cycle progression require further study. Although telomerase inhibitors show promise in preclinical models, their clinical use is limited by delayed cytotoxicity and resistance. Materials and Methods: A scoping review was conducted using Scopus, ScienceDirect, MEDLINE/PubMed, and CINAHL (Cumulative Index to Nursing and Allied Health Literature). Keywords included “telomerase,” “melanoma,” “cancer,” “cell proliferation,” and “doubling time,” using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Results: Telomerase-related biomarkers were found to correlate with disease stage and survival. Suggested therapeutic strategies include enzyme inhibitors, cytotoxic nucleotide incorporation, telomere destabilization, and immunotherapies such as peptide or dendritic cell vaccines, etc. Conclusions: Understanding both telomere-dependent and -independent TERT functions is essential for developing effective biomarkers and therapies that overcome resistance and slow melanoma progression. Full article

(1) Background: Urban traffic micro-environments show strong spatial and temporal variability. Short and intensive campaigns remain a practical approach for understanding exposure patterns in complex environments, but they need clear and interpretable summaries that are not limited to simple site or time segmentation. (2) Methods: We carried out a multi-site campaign across five traffic-affected micro-environments, where measurements covered several pollutants, gases, and meteorological variables. A machine learning framework was introduced to learn interpretable operational regimes as recurring multivariate states using clustering with stability checks, and then we evaluated their added explanatory value and cross-site transfer using a strict site hold-out design to avoid information leakage. (3) Results: Five regimes were identified, representing combinations of emission intensity and ventilation strength. Incorporating regime information increased the explanatory power of simple NO₂ models and allowed the imputation of missing H₂S day using regime-aware random forest with an $R^2$ near 0.97. Regime labels remained identifiable using reduced sensor sets, while cross-site forecasting transferred well for NO₂ but was limited for PM, indicating stronger local effects for particles. (4) Conclusions: Operational-regime learning can transform short multivariate campaigns into practical and interpretable summaries of urban air pollution, while supporting data recovery and cautious model transfer. Full article

The Maternal Embryonic Leucine Zipper Kinase (MELK) gene is a member of the Snf1/AMPK serine/threonine kinase family. MELK has recently attracted considerable interest in cancer biology due to its aberrant overexpression in various malignancies, including glioma, breast, lung, colorectal, gastric, and hematological cancers. It has been shown that higher MELK levels are often correlated with unfavorable prognosis, aggressive tumor manifestations, resistance to treatment, and stem-like tumor morphologies. In this review we aim to summarize the current understanding of MELK biology, including its functions in cell cycle regulation, apoptosis, oncogenic signaling pathways, and tumor stemness. We also discuss the therapeutic potential, limitations, and controversy of MELK inhibitors, and implications in cancer diagnosis and treatment. MELK may not be a universal driver oncogene; nonetheless, it is consistently linked to aggressive disease, underscoring its potential as a prognostic biomarker and a candidate for therapeutic co-targeting in combination treatments. Full article

This research explores the impact of technology usage after work hours on workers’ green job outcomes, including green job performance and wellbeing. It also aimed to investigate the mediating role of work–family conflict among them. Drawing on the role conflict theory (RCT) and the job demands–resources (JDR) model, this study fills the current research gap regarding the way technology-driven job intrusion affects employee green job outcomes and clarifies the underlying path through which the mediating variable work–family conflict plays its crucial role. We collected data through an electronic survey from 334 workers of foreign companies working in Shanghai city in China. Results showed that workers’ use of technology after their work hours is negatively associated with their green job outcomes, specifically green job performance and wellbeing. We further found work–family conflict as a mediating variable in the associations between after-hours use of technology and (a) green job performance and (b) wellbeing, two green job outcomes of workers in organizations. This research offers significant practical implications regarding how organizations can achieve a balance between the use of technology and their green job outcomes in this technological era. We also discuss limitations and future research directions. Full article