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Abstract Background Inflammatory bowel disease (IBD) is a chronic and idiopathic condition that includes both Crohn’s disease (CD) and ulcerative colitis (UC). The impact of sex on the disease course and the clinical outcomes not fully understood. Our systematic review and meta-analysis aims to explore the differences in the clinical outcomes in IBD. Method A systematic review and meta-analysis was done by searching in the PubMed /MEDLINE, Embase, and Scopus databases. We used the Random-Effects model to estimate risk ratios (RR) for binary outcomes and mean difference and hedges’ g for continuous outcomes. Result A total of 44 unique studies were included. Our analysis revealed distinct sex differences in various outcomes of IBD. Anxiety was more prevalent in females (RR: 0.73; 95% CI [0.64, 0.82]) and females in the CD subgroup (RR: 0.76; 95% CI [0.62, 0.93]; p = 0.01. While depression was diagnosed more frequently in females (RR: 0.80; 95% CI [0.66, 0.97] in the total population of the study, subgroup analysis showed no sex difference. Additionally, quality of life scores were worse in females in the total population (Hedges’ g: 0.24; 95% CI [0.05, 0.42]) with no significant difference in subgroup analyses. A significantly higher mortality risk was estimated in males (RR: 1.26; 95% CI [1.07, 1.48]) and in subgroup analysis for males with UC (RR: 1.48; 95% CI [1.19, 1.84]; p = 0.00) with no significant difference in CD. Regarding disease location, male patients were less likely to present with proctitis (RR: 0.67; 95% CI [0.50, 0.91]) when compared to females. Males had more frequent indications for surgery (RR: 1.10; 95% CI [1.01, 1.20]), however, no significant difference was found in subgroup analyses for CD or UC. Also, males were older at the time of admission (MD: 1.39 years; 95% CI [0.10, 2.68]). No significant sex differences were found in terms of hospitalization rates or disease behavior. Conclusion In conclusion, our meta-analysis shows that males face higher risks of early mortality and require more IBD surgeries, whereas females experience greater levels of anxiety and depression. These findings emphasize the need to consider sex disparities in IBD management.

Background and objectives: Idiopathic condylar resorption (ICR) can be described as a dysfunctional remodeling of the temporomandibular joint (TMJ). It is clinically characterized by morphological changes in TMJ including reduced ramus height, accelerated mandibular retrusion and reduced growth in juveniles. With a strong predilection towards females (90 %) within an age group of 10 to 40 years, diagnosis and management of ICR is a critical clinical challenge. The aim of this study is to present a comprehensive review of diagnosis and management strategies for ICR. Materials and Methods: Literature search based on keywords relating to ICR was conducted on PubMed (Medline) database. Studies fulfilling the inclusion criteria (reports based on clinical diagnosis and management of ICR) were selected for comprehensive review. Results: 253 articles were identified through literature search. After abstract screening and full-text review, 54 studies were selected for qualitative synthesis. Diagnosis of ICR is established by combination of clinical and radiographic findings, patient history, and exclusion of all known local/systemic factors contributing to condylar resorption. Management of ICR depends on condylar activity and surgeon’s ability to preserve the articular disc and mandibular condyle, and could either be surgical or non-surgical. Surgical treatment can be either by orthognathic surgery alone or through a combination of orthognathic and TMJ surgeries. Conclusion: Based on the present review, it may be concluded that diagnosis and management of ICR requires adequate clinical understanding of the condition. Identifying the stage of ICR is important in deciding optimum treatment plan. While early-stage ICR could be managed non-surgically by orthodontic and splint therapies, advanced stage disease require simultaneous TMJ Surgery with orthognathic correction for skeletal stability. Future research should focus on elucidating underlying mechanisms of ICR, refining diagnostic criteria, and optimizing treatment protocols to enhance patient outcomes.

Wheat is one of the most important staple crops consumed by more than four billion people in the world. However, its production is challenged by the impact of climate change which accounts for a 5.5 % reduction in wheat yield and it is predicted to dwindle further by about 30 % in 2050, due to trends in temperature, precipitation, and carbon dioxide. An effective annual crop estimate is necessary not only to inform governments the status of national food security, but also to determine the benchmark on which agricultural commodities are priced in the market. Thus, annual crop monitoring and yield estimate is paramount to determine the amount of wheat imports required to make up for the shortfalls in the national wheat production in South Africa, which has been a net importer of wheat since 1998. This study aimed at investigating the most distinguishable crop phenology for accurate winter wheat classification during the growing season from August – December 2020 using Sentinel-2 imageries and Random Forest algorithm. The winter wheat crop was more accurately identified during the crop ‘heading’ stage in October yielding the highest user’s (75.56 %) and producer’s (92.52 %) accuracies, despite the relatively lower overall accuracy (78.14 %) compared to that of December with overall accuracy of 83.58 % obtained during the maturity stage. This study, therefore, found that the extraction of NDVI values of the winter wheat crop over the period of the growing season using the Sentinel-2 NDVI series method and grouping these values into distinct classes using the K-means unsupervised clustering techniques assist to identify the different crop phenologies based on which the winter wheat crop could be detected and mapped accurately. The phenology-based classification of the winter wheat crop during the heading stage, reduce the ambiguity of spectral confusion created with surrounding grass and maize crops.

The life-cycle duration (TLC) is typically assumed constant in pavement life-cycle analysis. The added scientific value of this paper is that (TLC) is considered a variable parameter to be estimated from the performance curve using a variable terminal condition rating. A variable (TLC) requires using the equivalent annual value (EAV) instead of the net present value for cost estimation. The life-cycle performance (LCP) curve is constructed using two routine maintenance cycles separated by one major rehabilitation action. The time parameters associated with LCP curve are estimated from the inverse performance function based on the initial, present and terminal condition ratings. The equivalent annual cost and performance associated with a particular LCP curve are used to compute cost/performance (C/P) ratio for optimal maintenance and rehabilitation (M&R) plan selection. The EAV represents the costs of two routine maintenance cycles and one major rehabilitation action. Sample results obtained from three case studies have indicated the reliability of the proposed LCA approach in yielding optimal M&R plans. At the project-level, the optimal M&R plan associated with 7 m/km terminal IRI value resulted in (0.949) minimal (C/P) value. However, the optimal M&R plan with 3.25 terminal PSI yielded (1.50) minimal (C/P) value.

Abstract Background Depression significantly impacts adolescents’ quality of life, with zinc deficiency suggested as a contributing factor. This study aimed to explore the relationship between serum zinc levels and depression among Egyptian adolescent students, hypothesizing an inverse correlation between zinc levels and depression severity. In a case–control study, 358 students from two randomly selected secondary schools in (blind to peer review) Governorate, Egypt, were screened for depression using the Arabic version of the Beck Depression Inventory. Based on the screening, 86 cases with depression and 86 matched controls were identified. Serum zinc levels were measured, and socio-economic status (SES) was assessed using the Gilany SES questionnaire. Statistical analysis was conducted using SPSS 26.0, employing t-tests, ANOVA, and Chi-square tests, with significance set at p

Abstract Internet of Things (IoT) technologies present transformative opportunities through connectivity of intelligent devices, environmental sensors, and integrated management systems. This study aims to investigate the benefits and impact of IoT implementation on construction sites by analyzing relationships between key factors and outcomes for safety and efficiency. Hypotheses were developed proposing positive correlations between each factor and effective IoT adoption on construction sites. Structural equation modeling analysis on survey data from construction professionals and site reports strongly validated the research hypotheses. Positive path coefficients and high statistical significance confirmed environmental monitoring (0.38), equipment management (0.343), predictive analytics and maintenance (0.222) and safety monitoring (0.369) as crucial enablers for successful IoT integration leading to safer and more productive construction operations. The findings highlight imperative focus areas and provide actionable insights for construction stakeholders on strategies to effectively leverage IoT capabilities.

Abstract The rice weevil Sitophilus oryzae is one of the primary insects that infest stored grains, causing both quantitative and qualitative losses. The use of synthetic pesticides to control it has led to the emergence of several problems related to human health and the environment, which has prompted the search for safer alternatives for their control. In this study, the effectiveness of two essential oils, cumin (Cuminum cyminum) and basil (Ocimum basilicum), was evaluated as insecticides for controlling the rice weevil at three different times intervals and various concentrations. (GC-MS) analysis revealed that both oils contain several key compounds, such as procanal (26.07%), ˠ- terpinene (15.78%), for C. cyminum and linalool (56.7%), cadinol, epi-α (11.4%) for O. basilicum, in addition to some secondary components. The results showed that, the lethal concentration (LC50) of cumin was 49%, 45%, and 33% lower than that of basil at the 24, 48, and 72-h assessment periods, respectively demonstrating the superiority of cumin over basil. Regarding the effects on the levels of certain enzymes activity, the results indicated that both oils had a significant impact on the activity of both enzymes ALP and GOT, while there was no significant effect on (GOT), α-amylase, and acetylcholinesterase (AChE) compared to control. Based on the obtained results, it can be concluded that tested essential oils could be developed as a safe and effective alternatives for controlling rice weevil.

Abstract This study aimed to investigate the relationships between hoarding behaviors, autism characteristics, and demographic factors in adults diagnosed with high-functioning ASD (Autism Spectrum Disorder). A total of 112 adults, aged 18–35, with high-functioning ASD completed self-reported assessments on hoarding (Savings Inventory-Revised; SI-R) and autism traits (Autism-Spectrum Quotient; AQ). Additionally, demographic data was gathered. Correlation and regression analyses were performed. The findings revealed positive correlations between hoarding and overall autism traits. Autism quotient scores accounted for 24% of the variance in hoarding inventory scores. Higher AQ scores were associated with increased SI-R scores. Specific AQ subscales were linked to particular SI-R subscales. Gender, age, education level, and employment status were connected to assessment scores. A multiple regression analysis revealed that demographic variables accounted for 19% of the variance in hoarding severity. Gender was found to moderate the impact of age on hoarding behaviors. Significant associations were identified between hoarding tendencies and autism traits in adults with ASD. Demographic variables also played a role in symptom presentation. These findings shed light on the relationship between autism characteristics and hoarding behaviors, as well as how external factors influence them. Further research is necessary to enhance understanding and guide interventions for hoarding in ASD populations.

Abstract Heart failure (HF) constitutes a substantial burden on healthcare systems worldwide, contributing to elevated rates of mortality and morbidity. Iron deficiency (ID), both with and without concurrent anemia, has been identified in up to half of all patients with CHF and is associated with an increased risk of HF exacerbations, higher rates of hospitalization, and diminished quality of life. However, data from resource-limited settings remain limited. In this study, we reviewed 108 adult Yemeni patients with HF who also had concomitant ID, defined as serum ferritin concentrations of

Abstract This research examines how Holistic Building Design (HBD) affects Lifecycle Management of Building Structures in the ever-changing construction market. HBD includes adaptability, environmental sustainability, maintenance, and disaster preparation. It is a key idea in the present boom in resilient and sustainable building techniques. A surprising dearth of quantitative empirical research on HBD’s impact on LMBS considering the field’s growing importance. This study uses a quantitative method to explore the relationship between essential HBD components and LMBS outcomes especially Extended Service Life (ESL) and Optimized Performance and Value (OPV) are critical factors to address this information gap. The quantitative study polled 171 construction industry professionals and utilized Structural Equation Modelling to examine the data. This approach was selected for its ability to explore complex relationships between variables and constructs. HBD components Adaptability and Retrofitting (AAR), Environmental Considerations and Sustainability (ECS), Maintenance and Inspection Programs (MIP), and Resilience and Disaster Preparedness (RDP) profoundly influenced the Enhanced Service Life (ESL) and Optimized Performance and Value (OPV) elements of LMBS. Building adaptation and retrofitting, maintenance and inspection programs, and other activities increased building value and lifespan. These findings have major theoretical and practical implications. The work potentially fills a research gap by providing actual evidence on HBD-LMBS linkages. Practically, the results advise construction industry specialists to use HBD ideas for sustainable building management. Finally, our work illuminates the vital roles of HBD components in LMBS and paves the way for ecologically friendly building approaches.

Abstract This study presents a novel numerical approach for approximating the solution of third-order pseudo-parabolic partial differential equations (PDEs), which exhibit both parabolic and hyperbolic characteristics. The proposed method employs a cubic trigonometric tension B-spline collocation technique for spatial discretization, offering greater flexibility and accuracy compared to traditional spline methods. For time discretization, the finite difference method (FDM) is used, ensuring computational efficiency. Unlike many existing methods, our approach is tailored to handle the complexity of third-order equations while maintaining stability and accuracy over large-scale problems. The method’s unconditional stability is confirmed through a detailed von Neumann stability analysis, making it particularly robust for long-term simulations. Two illustrative examples are presented to demonstrate the method’s superior accuracy and flexibility in handling complex boundary conditions, as well as its ability to manage large-scale problems without requiring restrictive time steps. Compared to the existing methods, the combination of trigonometric tension B-splines with FDM proves to be a powerful and reliable tool for solving higher-order pseudo-parabolic equations.

Abstract Background Although several training courses for Health Care Workers (HCWs) on COVID-19 were conducted in Yemen, no evaluation has been done to assess the effectiveness of such training on the Knowledge, Attitude and Practice (KAP) of HCWs. Therefore, this study aimed to assess the effectiveness of training on the KAP of HCWs toward infection prevention and control (IPC) for COVID-19, determine the relationship between the change in the KAP of HCWs, and identify the associated factors with the change in KAP. Methodology A cross-sectional study was conducted from April to December 2021. It was conducted among 186 HCWs working at COVID-19 isolation centers and caring for COVID-19 patients, in all Yemen’s governorates. The data were collected one week before and immediately after the training session. SPSS version 26 was used for data entry and analysis. The median, interquartile range (IQR) and median difference were calculated. The Wilcoxon Signed Ranks Test was used to estimate the significant difference between KAP pre- and post-training scores. Kurskal-Wallis and Mann-Whitney U tests were used to assess the associated factors. Spearman’s correlation coefficient test was used to assess the statistical relationship between the change in KAP. A P value

Abstract The anticancer, antimicrobial, and insecticidal activities of sarcotrocheliol (1) and cholesterol (2) obtained from the soft coral Sarcophyton trocheliophorum (S. trocheliophorum) were intensively studied. According to this study, both compounds 1 and 2 showed potential cytotoxicity towards the human colorectal carcinomaHCT-116 (IC50 10.4, 11.8 µg/mL) and human liver carcinoma HepG2 cell lines (IC50 8.8, 12.0 µg/mL), respectively. Compounds 1 and 2 were evaluated as potential inhibitors of caspase-3, a member of the cysteine protease family, which is considered a key enzyme in inducing cell apoptosis. Results showed that compounds 1 and 2 have induced apoptosis via up-regulation of caspase-3. Sarcotrocheliol (1) displayed antimicrobial activity against P. aeruginosa (15 mm), B. subtilis (15 mm), M. luteus (14 mm) and C. albicans (15 mm), with a MIC of 1.5 µg/mL against the reported test microorganisms. On the other hand, cholesterol (2) showed less activity towards P. aeruginosa (10 mm), B. subtilis (14 mm), S. aureus (12 mm) and C. albicans (10 mm) with MICs of 3.0, 1.5, 1.5 and 3.0 µg/mL against the tested microorganisms, respectively. Larvicidal activity revealed that compounds 1 and 2 induced remarkable toxicity against the third instar larvae of the mosquito, Culex pipiens even at concentration of 2 ppm. Adulticidal activity data showed that tested compounds are distinctly potent toxicants against the housefly, Musca domestica adult females. Overall, compound 2induced much more insecticidal activity than 1, and M. domestica adult females were more sensitive to tested compounds than C. pipiens larvae. Computationally, Density Functional Theory (DFT) analyses revealed that compound 2 had a higher dipole moment and lower band gap energy when compared to compound 1. So, compounds 2 is chemically more reactive and less stable than compound 1. According to the molecular docking study against PDB IDs: 3KJF, 5UHF and 1ACJ, compounds 1 and 2 demonstrated their activity mode as anticancer, antimicrobial, and insecticidal agents. The compounds exerted many interactions and showed high binding to the proteins, recognizing their potential as drug candidates with broad bioactivities.

Abstract Aims Aging is influenced by genetic determinants and comorbidities, among which diabetes increases the risk for heart failure with preserved ejection fraction. There is no therapy to prevent heart dysfunction in aging and diabetic individuals. In previous studies, a single administration of the longevity-associated variant (LAV) of the human BPIFB4 gene halted heart decline in older and type 2 diabetic mice. Here, we asked whether orally administered LAV-BPIFB4 protein replicates these benefits. Materials and Methods In two controlled, randomized studies, 18-month-old male C57BL/6 J mice and 9-week-old C57BLKS/J-Leprdb/Leprdb/Dock7 + [db/db] mice of both sexes underwent baseline echocardiography. They then received a recombinant purified LAV-BPIFB4 protein (3 µg/animal, every three days) or vehicle by gavage. After 30 days, the animals underwent echocardiography, and the hearts were collected post-termination for histology. Results All the animals completed the study except one female diabetic mouse, which was culled prematurely because tooth malocclusion caused eating problems. There was no effect of the LAV-BPIFB4 protein on body weight in the two studies or glycosuria in the diabetic study. In aging mice, LAV-BPIFB4 increased myocardial Bpifb4 expression, improving heart contractility and capillarity while reducing perivascular fibrosis and senesce. In male diabetic mice, LAV-BPIFB4 therapy improved systolic function, microvascular density, and senescence, whereas the benefit was limited to systolic function in females. Conclusions This study shows the feasibility and efficacy of a variant protein associated with human longevity in contrasting pivotal risk factors for heart failure in animal models. The diabetic study revealed that sex influences the treatment efficacy.

Abstract Currently, graph-based molecular structure descriptors are frequently used in QSAR (Quantitative Structure-Activity Relationship) and QSPR (Quantitative Structure-Property Relationship) modeling of the properties of chemical compounds. Octane isomers have an important role in the testing of such relationships. In this study, we compute some well-known topological descriptors of the molecular graphs of isomeric octanes and their line graphs, both indices and coindices. Then we analyze the correlation coefficients between the physicochemical properties of the octane isomers and some well-known topological indices and their coindices of the molecular graphs and the line molecular graphs of the octane isomers, to find the particular topological descriptors that have the best predictive values.

Abstract This work investigates the Kraenkel-Manna-Merle (KMM) system, which models the nonlinear propagation of short waves in saturated ferromagnetic materials subjected to an external magnetic field, despite the absence of electrical conductivity. The study aims to explore and derive new solitary wave solutions for this system using two distinct methodological approaches. In the first approach, the KMM system is transformed into a system of nonlinear ordinary differential equations (ODEs) via Lie group transformation. The resulting ODEs are then solved analytically using a similarity invariant approach, leading to the discovery of various types of solitary wave solutions, including bright, dark, and exponential solitons. The second approach involves applying wave and Galilean transformations to reduce the KMM system to a system of two ODEs, both with and without damping effects. This reduced system is further analyzed to investigate its bifurcation behavior, sensitivity to initial conditions, and chaotic dynamics. The analysis reveals the presence of strange multi-scroll chaotic dynamics in the presence of damping and off-boosting dynamics without damping. In addition to these approaches, the study also applies the planar dynamical theory to obtain further new soliton solutions of the KMM system. These solitons include bright, kink, dark, and periodic solutions, each of which has been visualized through 3D and 2D graphs. The results of this research provide new insights into the dynamics of the KMM system, with potential applications in magnetic data storage, magnonic devices, material science, and spintronics.

Background: The East African Fracture Zone (EAFZ) stands as a testament to the dynamic forces of Earth, marked by heightened seismic activity that frequently triggers geotechnical disasters such as landslides and rockfalls. Traditionally, the study of earthquake-induced geological risks has been reactive, with a focus on post-incident analysis. While significant advances have been made in spatial analysis and risk mapping, the capabilities for real-time prediction and proactive mitigation are still limited. Objectives: Current study presents an approach to predicting earthquake-induced landslides and rockfalls in the EAFZ. The aim is to change the perception of the problem by viewing disasters as manageable risks and informing decision-making in urban planning and disaster mitigation strategies. Methods: A combination of geotechnical engineering, remote sensing, artificial intelligence and machine learning, and socio-economic analysis were used to develop a holistic software framework that solves the complex problem of earthquake prediction without any problems. Results: A software model has been developed that includes a dynamic learning component that refines its predictions with new data, allowing for a deeper understanding of geological subtleties and socio-economic impacts. Considerable attention is paid to the tangible consequences of landslides and rockfalls, including human, property and economic losses. Despite the inevitable challenges of data accuracy and natural unpredictability, the proposed approach opens up new possibilities for proactive disaster management. The results demonstrate a transformational step in data-driven geotechnics and highlight the global applicability of the methods proposed in this work. Conclusion: In this investigation, was taken a pioneering stride in the realm of geotechnical hazard analysis and prediction, focusing on the complex terrains of the East African Fracture Zone (EAFZ). The results provided critical insights into the dynamics of geotechnical hazards in the EAFZ, laying the foundation for future innovations and enhanced safety measures in vulnerable communities.

Objective: The primary aim of this study was to investigate the guidance effect of the bispectral index (BIS) on the target plasma concentration (TPC) of propofol required for deep sedation during endoscopic retrograde cholangiopancreatography (ERCP). Second, to identify propofol consumption, recovery time, and adverse events. Methods: A total of 42 consecutive patients with liver cirrhosis and 43 consecutive patients with healthy livers were enrolled. Propofol was administered via a target control infusion (TCI) syringe pump (Marsh Model) at BIS 60-70. Patients were not intubated, were placed in the prone position, and underwent spontaneous breathing. Propofol TPCs (µg mL-1) and BIS values were recorded at T0 (baseline), T1 (5 min after induction), T2 (5 min into ERCP), T3 (15 min), T4 (30 min), and T5 (recovery). Results: TPCs and propofol consumption were lower in patients with cirrhosis than in those without cirrhosis (T4: 2.7±0.5 vs. 3.3±0.4 µg mL-1), P=0.001, and 270.4±6.9 mg vs. 390.8±13.4 mg, P=0.001), respectively. Patients with cirrhosis required more time to recover (8.5±2 vs. 6.2±0.9 min, P=0.001), despite comparable ERCP durations (31.1±11.1 vs. 34±12.5 min, P=0.28). A significant decline in TPC values among patients with cirrhosis with time (T1: 3.3±0.3, T2: 3.1±0.3, T3: 2.9±0.4, T4: 2.7±0.5 µg mL-1, P=0.001), indicating a cumulative effect. One patient with cirrhosis required bag-mask ventilation, while three patients without cirrhosis were converted to general anaesthesia. Conclusion: Combining the TCI Marsh pharmacokinetic model with BIS monitoring lowered the TPC levels required for deep sedation in patients with cirrhosis compared with healthy patients and allowed for individual variations. The prone position in deeply sedated and non-intubated spontaneous breathing patients is not without the risk of hypoxia.

Abstract Brainstem cerebral cavernous malformations (CCM) are clinically more aggressive compared to superficial CCMs. Due to their location, resection can be challenging, making stereotactic radiosurgery (SRS) an attractive alternative for symptomatic patient. Brainstem CCM patients (n = 170) were treated with Gamma Knife SRS at 11 radiosurgical centers. Hemorrhagic risk reduction, risk factors of post-SRS hemorrhage, and clinical outcomes were retrospectively analyzed. Most patients had a single (165/170 patients) brainstem CCMs treated; the majority of CCMs (165/181) presented with bleeding. Single-session SRS decreased the risk of repeat hemorrhage in patients with hemorrhagic brainstem CCM (HR: 0.17, p 13 Gy (HR = 2.57, p = 0.044). Adverse radiation effect (ARE) occurred in 9 patients (5.3%) and was symptomatic in four (2.4%). At a median follow-up of 3.4 years (Inter-quartile range: 5.4), 13 patients (8.0%) had a worsened clinical status, with the treated CCM being the cause in 5.6% (10) of the patients. Single-session SRS decreased the risk of repeat hemorrhage in patients with hemorrhagic brainstem CCM and conveyed this benefit with a low risk of advrse radiation effects (ARE) and worsening clinical status.

Abstract Background Blastocyst morphology has been demonstrated to be associated with ploidy status. Existing artificial intelligence models use manual grading or 2D images as the input for euploidy prediction, which suffer from subjectivity from observers and information loss due to incomplete features from 2D images. Here we aim to predict euploidy in human blastocysts using quantitative morphological parameters obtained by 3D morphology measurement. Methods Multi-view images of 226 blastocysts on Day 6 were captured by manually rotating blastocysts during the preparation stage of trophectoderm biopsy. Quantitative morphological parameters were obtained by 3D morphology measurement. Six machine learning models were trained using 3D morphological parameters as the input and PGT-A results as the ground truth outcome. Model performance, including sensitivity, specificity, precision, accuracy and AUC, was evaluated on an additional test dataset. Model interpretation was conducted on the best-performing model. Results All the 3D morphological parameters were significantly different between euploid and non-euploid blastocysts. Multivariate analysis revealed that three of the five parameters including trophectoderm cell number, trophectoderm cell size variance and inner cell mass area maintained statistical significance (P

Abstract Producing hydrogen efficiently through water electrolysis could greatly reduce fossil fuel consumption. As well as this renewable energy source will also help combat global warming and boost economic investment opportunities. This paper studied some factors affecting the performance of oxy-hydrogen/hydroxy (HHO) gas generator, such as applied voltage (from 10.5 to 13.0 V) and electrolyte solution concentration (from 0.05 to 0.20 M), using a dry fuel cell based on the electrolyzing technique of water. The results revealed that the HHO gas production rate, power consumption, and temperature change of electrolyte solution increased significantly with increasing the tested applied voltage and electrolyte concentration. This study concluded that the optimum conditions for producing HHO gas ranged from 11.5 to 12.0 V for applied voltage and from 0.05 to 0.10 M for KOH concentration according to the lowest specific energy and highest HHO gas generator efficiency. Under the previous optimum conditions, the highest productivity, specific energy, and efficiency of the HHO gas generator were 343.9 cm3 min−1, 3.43 kW h m−3, and 53.79%, respectively, using 12.0 V for applied voltage and 0.10 M for electrolyte solution concentration. These findings provide an unambiguous direction for adjusting the operational factors (applied voltage and electrolyte concentration) for efficient HHO gas production and use in different applications. Furthermore, the required energy to operate the HHO gas generator can be obtained from renewable sources.

Abstract Few empirical research has attempted to determine the impact of Intelligent Computer-Assisted Language Assessment (ICALA) in philosophy-based language instruction (PBLI) on critical thinking, self-evaluation, and academic resilience, despite the significant role that higher-order thinking skills play in influencing English as a Foreign Language (EFL) learners’ cognition, including their learning processes. This research addresses this knowledge vacuum by examining how ICALA in PBLI influences the development of the four primary abilities associated with critical thinking, self-evaluation, and academic resilience. A quasi-experimental strategy was used in this study among 81 EFL learners. The participants were split into two groups: one to participate in the experiment and another to serve as a control. The books for both groups were revised or supplemented according to the underlying PBLI principles. The control group (CG) students were exposed to paper format assessment. In comparison, the experimental group (EG) attended ICALA. The statistical significance of the differences between the two groups was determined using multivariate analysis of variance (MANOVA). The results demonstrated that the learners in EG outperformed their peers in CG foreign language-speaking development. Moreover, they received better critical thinking, self-evaluation, and academic resilience results.

Abstract The fluctuation of solar radiation throughout the day presents a significant obstacle to the widespread adoption of solar dryers for the dehydration of agricultural products, particularly those that are sensitive to high temperatures, such as basil leaf drying during the winter season. Consequently, this recent study sought to address the limitations of solar-powered dryers by implementing a hybrid drying system that harnesses both solar energy and liquid petroleum gas (LPG). Furthermore, an innovative automatic electronic unit was integrated to facilitate the circulation of air between the drying chamber and the ambient environment. Considering the solar radiation status in Egypt, an LPG hybrid solar dryer has been developed to be suitable for both sunny and cloudy weather conditions. This hybrid solar dryer (HSD) uses indirect forced convection and a controlled auxiliary heating system (LPG) to regulate both temperature and relative humidity, resulting in increased drying rates, reduced energy consumption, and the production of high-quality dried products. The HSD was tested and evaluated for drying basil leaves at three different temperatures of50, 55, and 60 °C and three air changing rates of 70, 80, and 90%, during both summer and winter sessions. The obtained results showed that drying basil at a temperature of 60 °C and an air changing rate of 90% led to a decrease in the drying time by about 35.71% and 35.56% in summer and winter, respectively, where summer drying took 135–210 min and winter drying took 145–225 min to reach equilibrium moisture content (MC). Additionally, the effective moisture diffusivity ranged from 5.25 to 9.06 × 10− 9 m2/s, where higher values of effective moisture diffusivity (EMD) were increased with increasing both drying temperatures and air change rates. Furthermore, the activation energy decreased from 16.557 to 25.182 kJ/mol to 1.945–15.366 kJ/mol for the winter and summer sessions, respectively. On the other hand, the analysis of thin-layer kinetic showed that the Modified Midilli II model has a higher coefficient of determination R2, the lowest χ2, and the lowest root mean square error (RMSE) compared to the other models of both winter and summer sessions. Finally, the LPG hybrid solar dryer can be used for drying a wide range of agricultural products, and it is more efficient for drying medicinal plants. This innovative dryer utilizes a combination of LPG and solar energy, making it efficient and environmentally friendly.

Abstract Protein kinases are critical components of a myriad biological processes and strongly associated with various diseases. While kinase research has been a point of focus in biomedical research for several decades, a large portion of the kinome is still considered understudied or “dark,” because prior research is targeted towards a subset of kinases with well-established roles in cellular processes. We present an empirical and in-silico hybrid workflow to extend the functional knowledge of understudied kinases. Utilizing multiplex peptide activity arrays and robust in-silico analyses, we extended the functional knowledge of five dark tyrosine kinases (AATK, EPHA6, INSRR, LTK, TNK1) and explored their roles in schizophrenia, Alzheimer’s dementia (AD), and major depressive disorder (MDD). Using this hybrid approach, we identified 195 novel kinase-substrate interactions with variable degrees of affinity and linked extended functional networks for these kinases to biological processes that are impaired in psychiatric and neurological disorders. Biochemical assays and mass spectrometry were used to confirm a putative substrate of EPHA6, an understudied dark tyrosine kinase. We examined the EPHA6 network and knowledgebase in schizophrenia using reporter peptides identified and validated from the multi-plex array with high affinity for phosphorylation by EPHA6. Identification and confirmation of putative substrates for understudied kinases provides a wealth of actionable information for the development of new drug treatments as well as exploration of the pathophysiology of disease states using signaling network approaches.

Abstract Background The current trial evaluated the midfacial gingival margin changes, volumetric, radiographic and clinical alterations 1-year following immediate implant placement with customized healing abutment (IIP + CHA) either solely, or in combination with xenograft (IIP + Bonegraft) or with connective tissue grafting (IIP + CTG) at sites with thin labial bone in the esthetic zone. Methods Thirty-nine non-restorable maxillary teeth indicated for extraction in the esthetic zone were included. Participants were randomly assigned into three equal group; IIP + Bonegraft (Control), IIP + CTG and IIP + CHA. Midfacial gingival margin changes(mm) as primary outcome, labial soft tissue contour change(mm), interdental tissue height changes and total volume(mm3) were assessed. Amount of bone labial to the implant and crestal bone level changes were also recorded. All outcomes were measured 1-year post-operative. Results The midfacial gingival margin changes demonstrated a significant difference (P ≤ 0.05) between the groups showing -0.98, -0.74 and -1.54 mm in sites treated with IIP + Bone graft, IIP + CTG and IIP + CHA respectively after1-year. While labial soft tissue contour change (mm), total volume (mm3) and distal interdental tissue height changes (mm) revealed a significant difference after one-year between the studied groups, yet mesial interdental tissue height changes showed no difference (P > 0.05). Both IIP + Bone graft and IIP + CHA groups revealed a significant positive correlation between the total volume loss (mm3) after 1 year and mid-facial gingival margin changes (P ≤ 0.05). However, no significant correlation was observed in the IIP + CTG group (P = 0.63). CBCT measurements showed a significant difference in crestal bone changes between the three groups (P ≤ 0.05), yet, there was no significant difference regarding mean amount of bone labial to the implant(P > 0.05). Conclusions This investigation suggests that the mere presence of CTG simultaneous with IIP in the anterior maxilla reduced the midfacial gingival margin alterations (mm), besides, CTG decreased the overall volume loss (mm3) by 5-folds compared to the other studied groups after one year. Meanwhile, using CHA alone with IIP failed to maintain the peri-implant soft tissues contour. Trial registration The current trial was retrospectively registered at Clinical trials.gov (ID: NCT05975515, Date: 27-July-2023).

Abstract Background/ Aim Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease affecting upper and lower motor neurons, causing progressive atrophy of muscles, hypertonia, and paralysis. This study aimed to evaluate the current evidence and effectiveness of ultrasound in investigating nerve cross-sectional area (CSA) of peripheral nerves, vagus and cervical roots in those with ALS compared with healthy controls and to pool the CSA measurements. Methods A systematic search was conducted on Cochrane, Clarivate Web of Science, PubMed, Scopus, and Embase for the mesh terms nerve, ultrasonography, and amyotrophic lateral sclerosis. A quality assessment was performed using the New-Ottawa scale. In addition, a double-arm meta-analysis using Review Manager 5 software version 5.4 was performed. Results From the seventeen studies included in this review, the overall mean difference showed that individuals with ALS had a significantly smaller CSA in comparison to healthy controls for median, ulnar, C6 root, and phrenic nerves. However, no significant difference in the CSA was found in radial, vagal, sural, and tibial nerves. Discussion This study confirmed results of some of the included studies regards the anatomic sites, where nerve atrophy in ALS could be detected to potentially support the diagnosis of ALS. However, we recommend further large, prospective studies to assess the diagnostic value of these anatomical sites for the diagnosis of ALS. Conclusions Our findings confirmed specific anatomic sites to differentiate ALS patients from healthy controls through ultrasound. However, these findings cannot be used to confirm the ALS diagnosis, but rather assist in differentiating it from other diagnoses. Trial registration Retrospectively registered on July 30th 2024 in PROSPERO (PROSPERO (york.ac.uk)) with ID574702. Graphical abstract

Abstract The fixed point theory has been generalized mainly in two directions. One is the extension of the spaces, and the other is relaxing and generalizing the contractions. This paper aims to establish novel fixed point results of rational type generalized $$(\psi ,\phi )$$ ( ψ , ϕ ) -contractions in the context of extended b-metric spaces. This will allow us to analyze generalized rational type contraction in a more relaxed and diversified framework in the light of the characteristics of $$(\psi ,\phi )$$ ( ψ , ϕ ) . Some existing rational-type contractions have been recalled in this direction, and others are defined. New fixed point results have been established by utilizing the properties of $$\psi$$ ψ and $$\phi$$ ϕ and applying the iteration technique. Moreover, the established results are employed to investigate the stability of fractal and fractional differential equations and electric circuits. For the reliability of the established results, examples and applications to the system of integral inclusions and system of integral equations are presented.

Abstract Triple-negative breast cancer (TNBC) lacks estrogen, progesterone, and human epidermal growth factor receptors and has a poor prognosis as it is resistant to chemotherapy. A new treatment option for this type of cancer may be by putting these malignant cells into dormancy. The oocyte’s embryonic milieu presents a unique tumor reversion microenvironment by inducing growth arrest and changing cells’ phenotypes. We conducted an in-silico study to determine the most likely oocyte extract (OE) proteins involved in inducing dormancy using HDock, CluPro, and molecular dynamic (MD) simulation. Results showed low energy scores for complexes between OE proteins and four surface markers: K1C14, CLD3, CLD4, and ITA6. Apolipoprotein A1 (APOA1) and Apolipoprotein C3 (APOC3) showed the highest stability and affinity with these four surface markers: K1C14, CLD3, CLD4, and ITA6. These proteins are involved in key tumor-related pathways such as angiogenesis, proliferation, apoptosis, and migration. This will pave the way for exploring novel therapeutic options to induce dormancy in TNBC cells.

Abstract Background The upsurge of diarrheagenic E. coli pathotypes carrying extended-spectrum beta-lactamases (ESBLs)/plasmid-mediated AmpC β-lactamase (pAmpC) among animals constitutes an emerging threat for humans and animals. This study investigated the burden of ESBL-/pAmpC-producing diarrheagenic E. coli among diarrheic foals and its potential public health implications. Rectal swabs were collected from 80 diarrheic foals. These swabs were processed to isolate and identify ESBL/pAmpC-producing E. coli using a selective culture medium, biochemical tests, phenotypic identification, and molecular identification of ESBL- and pAmpC-encoding genes. Moreover, all ESBL-/pAmpC-producing E. coli isolates were examined for different virulence genes related to diarrheagenic E. coli pathotypes. Results Out of 80 examined foals, 26 (32.5%) were confirmed as ESBL-/pAmpC-producing E. coli, of which 14 (17.5%) animals carried only ESBL-producing E. coli, whereas 12 (15%) animals possessed ESBL-pAmpC-producing E. coli. The only detected diarrheagenic pathotype was enterotoxigenic, encoded by the heat-stable enterotoxin gene (ST) with a prevalence rate of 80.8% (21/26). The ST gene was further characterized where STa, STb, and STa + STb were found in one, four, and 16 strains, respectively. Moreover, all enterotoxigenic E. coli (ETEC) isolates exhibited a multidrug-resistance pattern. The phylogenetic analysis of 3 obtained partial STb sequences revealed high genetic relatedness to ETEC isolates retrieved from humans, conferring such sequences' public health significance. Conclusions These findings highlight that diarrheic foals could serve as a potential reservoir for multidrug-resistant ESBL-/pAmpC-producing enterotoxigenic E. coli.

The purpose of the paper is to uncover more advanced soliton solutions for the three-component Sawada–Kotera (SK)-like equation. The Hirota bilinear (HB) method is exploited to obtain a bilinear form and general solution to the three-component SK like equation. The study explores various soliton solutions by considering multiple dispersion coefficients. The focus is on multiple bifurcated solitons, hybrid breathers, periodic lumps, and periodic rogue waves, as well as the resonance in soliton solutions. The fission or fusion processes of solitons are analyzed for specific values of parameters. From the literature, real Y-shaped and X-shaped solitons in water waves are provided. The results are presented through graphs generated using MATLAB 2021. The important feature of the proposed study is to show different behavior of the soliton in each component. The behavior of solitons, their interactions, and their transformations are all governed by the fundamental concept of energy conservation in all three cases. The amplitudes and forms of the solitons are impacted by the energy redistribution that occurs during collisions, fission, or other interactions. Understanding these energy dynamics aids in predicting how these nonlinear wave events would behave in complex systems and sheds light on the fundamental physics of these phenomena.

This paper presents the findings about implementing a machine learning (ML) technique to optimize the performance of 5 G mm wave applications utilizing multiple-input multiple-output (MIMO) antennas operating at the 28 GHz frequency band. This article examines various methodologies, including simulation, measurement, and the utilization of an RLC-equivalent circuit model, to evaluate the appropriateness of an antenna for its intended applications. In addition to its compact dimensions, the proposed design exhibits a maximum gain of 10.34 dBi, superior isolation exceeding 26 dB, and a broad bandwidth of 16.56 % Centered at 28 GHz and spanning from 25.905 to 30.544 GHz. Another supervised regression machine learning technique is utilized to predict the antenna's gain accurately. Machine learning (ML) models can be assessed by several measures, such as the variance score, R square, mean square error (MSE), mean absolute error (MAE), root mean square error (RMSE), and Mean Absolute Percentage Error (MAPE). Among the six machine learning models considered, it is seen that the Gaussian Process Regression (GPR) model exhibits the lowest error and achieves the highest level of accuracy in forecasting gain. The antenna under consideration has promising qualities for its intended use in high-band 5 G applications. This is evidenced by the modelling findings obtained from Computer Simulation Technology (CST) and Advanced Design System (ADS)and the measured and projected results derived using machine learning methodologies.

Abstract Background Pediatrics is one of the most important medical specialties in the Kingdom of Saudi Arabia) KSA) since it serves a large population. Therefore, the pediatrics residency program is considered one of the most important and competitive programs. Obtaining acceptance in Saudi programs depends mainly on the Saudi Commission for Health Specialties (SCFHS) score, then the applicant enrolls to do the interviews with the training centers in the accepted region. This study aimed to evaluate the factors used by pediatric program directors (PD) in accepting applicants in their pediatric residency program in KSA. Methods In this cross-sectional study, an online questionnaire consisting of 49 items was distributed among 76 current and former pediatric PDs in KSA. Participants were selected via non-probability convenience sampling. Data were collected and analyzed using the Social Sciences Statistical Package (SPSS version 26). Results Of the sample of PD studied, males represented 77.6%, while females represented 22.4%. Most of the PDs were over 50 years old. Most of them were former pediatric PDs (71.1%). The current study found that the Saudi Medical Licensing Exam was the most important factor [3.87 (0.89)] followed by services and electives [3.86 (0.65)], research [3.84 (0.83)], interview [3.77 (0.89)], GPA [3.50 (0.62)], and letter of recommendation [3.39 (0.76)]. Conclusions For those interested in pediatrics residency programs in KSA, this study recommends that seeking a high Saudi Medical Licensing Exam (SMLE) score, taking pediatric elective rotations during internship, and acquiring excellent basic knowledge in research were the most important aspects of pediatrics residency selection from the pediatrics PD’s perspective.

This study aims to collects and analysis data to measure the predictive ability of body image and self-acceptance on psychosocial performance among young women in Jordan. Questionnaires were applied to 82 young women, whose age ranged from 18–50 years using the available method. Three scales were used, which are body image and self-acceptance and psychosocial performance scales. Three variables were examined: marital status, educational qualification, and age. The study results showed that cultural factors are the most influential on body satisfaction among Jordanian young women, and the psychological aspect is the most affected aspect by self-acceptance among Jordanian young women, and that self-acceptance predicts psychosocial performance more than the body image variable, which comes in second place. There were no statistically significant differences due to each of the variables of social status, educational qualification, and age. The study recommends conducting more research on different samples from both sexes.

This study aims to cross-examine the vision statements of banks by comparing Islamic banks (IBs) and Conventional banks (CBs) in the Middle East. The top 100 IBs and top 100 CBs were selected for this study based on their rankings. The vision statements for each bank were collected from official websites. The datasets were accessible through a Mendeley data repository. Data were analyzed using content and descriptive statistics. This exploratory research provides many significant findings for academia and professional bankers involved in strategy formulation. First, this study provides a comparative account of vision statements for both types of banks. IBs and CBs did not have significant differences in their descriptive statistics, especially vocabulary density, frequently used keywords, frequently used characteristics, and average number of words in each vision statement, except for a few. Most banks (approximately 80% including both IBs and CBs) have a range of 1-30 words for each vision statement. Six out of ten keywords are common in both IBs and CBs, i.e., ‘Bank’, ‘Financial’, ‘Services’, ‘Islamic’, ‘Choice’, and ‘Leading’. The keyword ‘uniqueness’ was the least frequently used characteristic (36%). Analyses of major themes in data reflect that both groups share the common themes of ‘bank’ and ‘financial’ in their vision statements. On the other hand, distinctive elements in the keywords include ‘Customer’ in CBs and ‘Islam’ in IBs. Secondly, a few of the current study's findings are new to the literature. For example, previous studies have suggested that visions are futuristic, but the current study could not find meaningful ‘futuristic’ vision statements in banks (both IBs and CBs). Finally, this study provides recommendations for academia and senior bankers. Both IBs and CBs are suggested to make risk enablement part of their visions, and both must include technology or, more specifically, financial technology (FinTech) or at least technology enablement in their visions. They must be able to impress young customers through technology enablement and utilization. IBs need to work on their vision statements and create a sense of differentiation from CBs in the region. More vision-only studies are required to explore the ‘anatomy’ of vision statements in different countries, cultures, and, more importantly, in different types of banks. Developing essential components of vision statements in the modern world is a good research agenda. A more detailed and robust framework is required to analyze vision statements more efficiently.

Background: Low-density screw constructs yield significant radiographic and clinical improvements with reduced risk of neurological complications. This study aimed to investigate the relationship between coronal Cobb angle and pelvic incidence (PI) in the correction of adolescent idiopathic scoliosis (AIS) using a low-density construct, as well as the association between PI and functional outcomes. PATIENTS AND METHODS: This prospective cohort study involved 60 posteriorly instrumented AIS patients, aged 10–16 years, with Cobb angles ranging from 45° to 90° of various Lenke types. Radiological assessments were conducted pre- and postsurgery at 1, 3, 6, 12, and 24 months. Functional evaluation utilized the Scoliosis Research Society score form (SRS-30). Results: A positive correlation was observed between screw density and operation time, blood loss, and degree of correction with SRS change (P = 0.004). No correlation was found between screw density and hospital stay, loss of correction, correction rate, SRS change, change in PI, or Cobb angle. Conclusions: Correction of AIS through a posterior approach using a low-density construct can lead to satisfactory curve correction, impacting spinopelvic parameters. However, PI alone does not directly influence patient functional outcomes assessed by SRS-30. Low-density implant constructs reduce operative time, blood loss, costs, and complication risks.

This study explores the stochastic Benjamin-Bona-Mahony (BBM) equation with a beta derivative (BD), thereby incorporating multiplicative noise in the Itô sense. We derive various analytical soliton solutions for these equations utilizing two distinct expansion methods: the $ \frac{\mathcal{G}^{\prime}}{\mathcal{G}^{\prime}+\mathcal{G}+\mathcal{A}} $-expansion and the modified $ \frac{\mathcal{G}^{\prime}}{\mathcal{G}^{2}} $-expansion techniques, both within the framework of beta derivatives. A fractional multistep transformation is employed to convert the equations into nonlinear forms with respect to an independent variable. After performing an algebraic manipulation, the solutions are trigonometric and hyperbolic trigonometric functions. Our analysis demonstrates that the wave behavior is influenced by the fractional-order derivative in the proposed equations, thus providing deeper insights into the wave composition as the fractional order either increases or decreases. Additionally, we explore the effect of white noise on the propagation of the waves solutions. This study underscores the computational robustness and adaptability of the proposed approach to investigate various phenomena in the physical sciences and engineering.

Abstract The Chaffee–Infante (CI) equation is a nonlinear equation that may be used to predict the complex dynamics of soliton propagation in a nonlinear optical medium. In this study, we elucidate soliton solutions of the CI equation by stochastic differential equations (SDEs) with the Wiener process. In excess of the modified auxiliary equation (MAE) method, we obtain new exact soliton solutions. By combining stochastic differential equations with the Wiener process, we explain the stochastic processes directing the magnitude of solitons within the basis of the CI equation, providing dynamic views on their behavior. The acquired solitary waves are depicted via 3D and 2D graphs to show their dynamics with and without Brownian motion.

Abstract Zic family member ZIC4 is a transcription factor that has been shown to be silenced in several cancers. However, understanding the regulation and function of ZIC4 in pediatric choroid plexus tumors (CPTs) remained limited. This study employed data mining and bioinformatics analysis to investigate the DNA methylation status of ZIC4 in CPTs and its correlation with patient survival. Our results unveiled ZIC4 methylation as a segregating factor, dividing CPT cohorts into two clusters, with hyper-methylation linked to adverse prognosis. Hyper-methylation of ZIC4 was confirmed in a choroid plexus carcinoma-derived cell line (CCHE-45) by bisulfite sequencing. Furthermore, our study demonstrated that demethylating agent and a histone methyltransferase inhibitor could reverse ZIC4 silencing. RNA sequencing and proteomic analysis showed that ZIC4 over-expression influenced genes and proteins involved in immune response, antigen processing and presentation, endoplasmic reticulum stress, and metabolism. Functionally, re-expressing ZIC4 negatively impacted cell proliferation and migration. Ultimately, these findings underscore ZIC4 hyper-methylation as a prognostic marker in CPTs and shed light on potential mechanisms underlying its tumor suppressor role in CPC. This insight paves the way for novel therapeutic targets in treating aggressive CPTs.

Abstract Introduction Hemophagocytic lymphohistiocytosis characterized by hemophagocytosis leading to uncontrolled inflammation; the most common etiology in secondary cases of hemophagocytic lymphohistiocytosis is viral infections, especially Epstein–Barr virus. Visceral leishmaniasis is a vectorborne protozoal disease caused by Leishmania donovani complex. It is common in tropical and subtropical regions, with 50,000–90,000 new cases annually. Case presentation A 15-month-old Arab female was admitted to our hospital with 15 days of fever and decreased weight. On clinical examination, she had a markedly enlarged liver and spleen that were palpable 4 cm and 6 cm below the costal margin, respectively. The peripheral blood smear showed hypochromic microcytic anemia, poikilocytosis, reactive lymphocytosis, and mild thrombocytopenia. Bone marrow aspiration did not show malignancy or any other pathological findings. The patient was put on antibiotic therapy without improvement. Repeated bone marrow aspiration showed erythrophagocytosis; intracellular small round organisms looked like the amastigote form of Leishmania (Donovan bodies) with no evidence of malignancies. Her lab values showed ferritin greater than 500 ug/L, pancytopenia, and hypertriglyceridemia. The patient was diagnosed with hemophagocytic lymphohistiocytosis secondary to visceral leishmaniasis. Conclusion Hemophagocytic lymphohistiocytosis secondary to visceral leishmaniasis is an extensively rare phenomenon in the medical literature that causes challenges in diagnosis and management. Steroids should be used wisely to not cover the symptoms of infections or malignancy, and amphotericin B resistance should be kept in mind in unresponsive Leishmania cases.

Disruption in the business environment imposes undeniable realities that require effective strategic management; therefore, the need to develop a particular type of force capable of achieving proactive strategies, influencing competitors’ behavior, and balancing competitive forces has arisen. This study aimed to examine the impact of absorptive capacity on achieving strategic supremacy and the mediating role of organizational ambidexterity within Jordan’s commercial banking industry. It employs 513 questionnaires from middle and upper management through proportionate stratified random sampling. It adopts a quantitative approach through partial least squares structural equation modeling to construct a research model comprising factors affecting strategic supremacy and the mediating role of organizational ambidexterity and validate the research hypotheses. The study revealed that absorptive capacity significantly impacts organization ambidexterity (β = 0.764, t = 33.939, p = 0.000) with explanation power (R2 = 0.584). Organizational ambidexterity has a significant positive impact on strategic supremacy (β = 0.561, t = 12.469, p = 0.000). Absorptive capacity has a significant positive impact on strategic supremacy through organizational ambidexterity (β = 0.334, t = 6.963, p = 0.000) with high explanation power (R2 = 0.712), which means that 71.2% of the variance in strategic supremacy has been explained by absorptive capacity and organizational ambidexterity. Moreover, organizational ambidexterity partially mediates their relationship. It also found that the model’s predictive power was moderate. The study concludes that Jordanian commercial banks have placed high importance on identifying and acquiring valuable external knowledge and balancing their short-term and long-term opportunities to achieve strategic supremacy, leading to sustainable competitive advantage.

Abstract Purpose The antibacterial properties of silver nanoparticles (AgNPs) are extensively identified. In large quantities, they might be harmful. So many fields of nanotechnology have shown a great deal of interest in the development of an environmentally friendly, efficient method for synthesizing metal nanoparticles. Because of its antibacterial and antifungal properties toward a wide range of microbes, chitosan silver nanoparticles (AgNPs@Cs) constitute a newly developing class of bio-nanostructured hybrid materials. Furthermore, the use of photothermal therapy (PTT) has been suggested as a means of elimination of germs. These light-stimulated treatments are minimally invasive and have a few side effects. In the present work, the antibacterial effect of AgNPs at low concentrations; prepared by chemical and green methods as antimicrobial and photothermal agents in photothermal therapy; with laser irradiation were explored as combined treatment against MRSA, Pseudomonas aeruginosa, and Klebsiella pneumoniae. Methods Silver nanoparticles were produced in two ways. First, by sodium borohydrides, second, by chitosan (as a natural eco-friendly reducing, and capping agent). The nanostructure of AgNPs and AgNPs@Cs was confirmed by UV–visible spectrometer, transmission electron microscopy (TEM), Fourier transform infrared spectroscopy (FTIRs), and direct light scattering (DLS). The antibacterial activity of the prepared nanoparticles and the laser irradiation was tested against three bacterial species of zoonotic importance; MRSA, Pseudomonas aeruginosa, and Klebsiella pneumoniae; and was evaluated by measuring their minimum inhibitory concentrations (MIC). Results Silver nanoparticles produced by the two methods had spherical shapes with nearly the same particle size. The analysis of DLS showed that AgNPs were very stable with zeta potential − 28.8 mv, and 47.7 mv by chemical and chitosan synthesis, respectively. Furthermore, AgNPs@Cs showed higher antibacterial activity toward the tested bacterial species than AgNPs by chemical method. Additionally, the bacterial viability using photothermal laser therapy was reduced compared to laser and AgNPs alone. The bactericidal activities were higher when laser diode was coupled with AgNPs@Cs than by chemical reduction. Conclusion The laser combined treatment had a higher antimicrobial effect than AgNPs alone or laser irradiation alone.

Abstract Recent reports have shown that pre-treatment low muscle mass may lead to poorer outcomes for cancer patients. We explored the correlation between Visceral Adipose Tissue (VAT), Subcutaneous Adipose Tissue (SAT), and Muscle Mass (MM) as measured by CT scans, and overall survival (OS) following diagnosis of colorectal cancer (CRC). We conducted a retrospective review of medical records and CT scans of patients diagnosed with CRC between 2007 and 2018. Demographics, pathology, and clinical parameters were collected. Using Image-J software, we measured VAT, SAT, and MM. Survival rates were analyzed using Kaplan–Meier curves, and prognostic factors were assessed using multivariate Cox regression. Analysis included 408 patients with a mean age of 56.9 years and a median follow-up of 93.3 months. Colon and rectum/rectosigmoid colon cancers were equally distributed. The 5-year OS rate was 67.8%. There was no significant difference in OS rates based on SAT or VAT. However, higher MM was associated with a improved 5-year OS rate. Factors such as age, stage, grade, and surgery were also associated to OS rates. These findings suggest that higher muscle mass may lead to better outcomes for CRC patients, highlighting the potential impact of exercise and nutritional interventions on patient outcomes.

Abstract Background Helsmoortel-Van der Aa syndrome was officially documented in 2014. Helsmoortel-Van der Aa syndrome is an extremely rare complex neurodegenerative disorder characterized by reduced intellectual capacity, motor dysfunction, facial dysmorphism, impaired development, and an increased predisposition to autism spectrum disorder. In addition, many patients also present with neuropsychiatric disorders, including attention deficit hyperactivity disorder, anxiety disorders, and various behavioral abnormalities. Helsmoortel-Van der Aa syndrome is challenging to identify solely on the basis of symptoms, and genetic investigations, including exome sequencing, may facilitate diagnosis. Case presentation We report a case of 13-year-old Saudi patient who presented with dysmorphic features as illustrated in Fig. 1, severe intellectual disability, autism spectrum disorder, and attention deficit hyperactivity disorder. Initial genetic testing was unremarkable; thus, a clinical exome analysis was performed to identify the genetic basis of the condition. Conclusions Clinical exome analysis indicated an autosomal dominant Helsmoortel-Van der Aa syndrome with a likely pathogenic de novo variant within the activity-dependent neuroprotector homeobox (ADNP) gene not previously reported in Helsmoortel-Van der Aa syndrome. The patient had a right-sided solitary kidney and polycystic ovaries, conditions that were not previously associated with HVDAS.

Abstract Introduction MicroRNAs (miRNAs) are single RNA molecules that act as global regulators of gene expression in mammalian cells and thus constitute attractive targets in treating cancer. Here we aimed to investigate the possible involvement of miRNA-141 (miR-141) in cervical cancer and to identify its potential targets in cervical cancer cell lines. Methods The level of miR-141 in HeLa and C-33A cells has been assessed using the quantitative real-time PCR (qRT-PCR). A new miR-141 construct has been performed in a CMV promoter vector tagged with GFP. Using microarray analysis, we identified the potentially regulated genes by miR-141 in transfected HeLa cells. The protein profile of killer-like receptor C1 (KLRC1), KLRC3, carcinoembryonic antigen‐related cell adhesion molecule 3 (CAM3), and CAM6 was investigated in HeLa cells transfected with either an inhibitor, antagonist miR-141, or miR-141 overexpression vector using immunoblotting and flow cytometry assay. Finally, ELISA assay has been used to monitor the produced cytokines from transfected HeLa cells. Results The expression of miR-141 significantly increased in HeLa and C-33A cells compared to the normal cervical HCK1T cell line. Transfection of HeLa cells with an inhibitor, antagonist miR-141, showed a potent effect on cancer cell viability, unlike the transfection of miR-141 overexpression vector. The microarray data of HeLa cells overexpressed miR-141 provided a hundred of downregulated genes, including KLRC1, KLRC3, CAM3, and CAM6. KLRC1 and KLRC3 expression profiles markedly depleted in HeLa cells transfected with miR-141 overexpression accompanied by decreasing interleukin 8 (IL-8), indicating the role of miR-141 in avoiding programmed cells death in HeLa cells. Likewise, CAM3 and CAM6 expression reduced markedly in miR-141 transduced cells accompanied by an increasing level of transforming growth factor beta (TGF-β), indicating the impact of miR-141 in cancer cell migration. The IntaRNA program and miRWalk were used to check the direct interaction and potential binding sites between miR-141 and identified genes. Based on this, the seeding regions of each potential target was cloned upstream of the luciferase reporter gene in the pGL3 control vector. Interestingly, the luciferase activities of constructed vectors were significantly decreased in HeLa cells pre-transfected with miR-141 overexpression vector, while increasing enormously in cells pre-transfected with miR-141 specific inhibitor. Conclusion Together, these data uncover an efficient miR-141-based mechanism that supports cervical cancer progression and identifies miR-141 as a credible therapeutic target.

Human Activity Recognition (HAR) is considered a multidisciplinary field that different branches of science contribute to its advancements. Vision-Based HAR is one of the means to use Computer Vision (CV) and its techniques to study and analyze the behavior of humans within the context of videos. Recently, Video Anomaly detection (VAD) has gained vast attention and becomes a popular research topic in recent years. This is due to their enormous potential in many fields such as healthcare monitoring, surveillance/crowd analysis, sports, Ambient Assistive Living (AAL), event analysis, and security. Manually detecting and analyzing inappropriate behavior was a very challenging task, especially in real-time scenarios which led to a great demand for smart surveillance systems. In recent work, deep learning approaches have been dominated in this field as they outperform the performance of other traditional methods. This literature provides the latest algorithms for anomalous human activities, the challenges facing this field, and a comprehensive review of the State-Of-The-Art (SOTA) approaches including the feature extractor, the method, and the loss function. In addition, we propose the effect of applying swarm optimization algorithms in the anomaly detection field in recent years. Moreover, it presents a chronological background to the subject with an emphasis on the recent advancements in the VAD field.

This study is the first to analyze the impact of domestic political unrest on Kuwait’s stock market. Our data indicates a daily market decline of 0.16 percent during periods when the parliament is suspended. This translates to a 7.1 percent loss in the value of the Kuwait Stock Exchange for each period of suspension. Our findings suggest that Kuwait, despite having a more democratic political system, experiences greater economic instability than Saudi Arabia. This research highlights the nuanced relationship between the political structure and economic performance, particularly in emerging markets, challenging the notion that more democracy invariably leads to better economic outcomes.

As worries about climate change and energy security grow, the need for clean and sustainable energy sources becomes increasingly critical. Among the possible alternatives, solar thermal technology provides a dependable and adaptable method for harnessing the sun's energy as heat. At the core of this technique is the solar thermal absorber, a critical component that converts sunlight into useful thermal energy. The Graphene Based Disk-Square Integration Resonator Solar Absorber (GBDSIRSA) structure is examined in this work between 200 and 2500 nm in wavelength. The GBDSIRSA has remarkable performance throughout a wide variety of spectral ranges, underscoring its adaptability and effectiveness. GBDSIRSA has exceptional efficiency in absorbing light over the full spectrum, from UV to MIR wavelengths, with an average absorptance of 97.73%. The absorptance rates are particularly high, achieving 94.02% in the UV, 96.36% in the VIS, 97.12% in the NIR, and an astounding 98.94% in the mid-infrared (MIR) region. The GBDSIRSA is independent of polarization effect and also an incident angle independent up to 80 degrees. The machine learning (Local Regression) approach used with test size of 0.2 and 1.8780 ×10-5 mean squared error for absorptance prediction has good prediction accuracy R2 of more than 95% which is applied to simulation resource reduction. Because of its wide absorptance spectrum, polarization and incident angle independence, the GBDSIRSA is a very promising technology for a variety of applications, including thermal imaging and renewable energy. It can efficiently harvest solar energy. All things considered, GBDSIRSA's remarkable absorptance properties highlight its promise as a top choice for cutting-edge optical and solar energy applications.

One method of nuclear energy development involves using helium. Its properties make using extended surfaces obligatory. However, currently nuclear technology does not typically use finned tubes. This study explores ways of enhancing heat transfer efficiency in a high-temperature gas-cooled reactor system by using novel fin designs in the heat exchanger for residual heat removal. Four different types of fins were studied: annular, serrated, square, and helical. The effect of fin height, thickness, and number was evaluated. Serrated and helical fins demonstrated superior performance compared to conventional annular fin designs, which was expressed in enhanced efficiency. The thickness of fins was found to have the strongest influence on the efficiency, while the height and number of fins per meter had weaker effects. In addition, the study emphasized the significance of considering complex effects when optimizing fin design, like the effect of fin geometry on the velocity of helium. The findings highlight the potential of creative fin designs to greatly enhance the efficiency and dependability of gas-cooled reactor systems, opening up possibilities for advancements in nuclear power plant technology.

Purpose – Employee participation in budgeting enhances motivation and commitment, leading to better performance by enhancing ownership. Within Iraqi higher education institutions (HEIs), the current investigation delves into the influence of participative budgeting on managerial performance. Drawing upon goal-setting theory, this study discerns budget goal commitment as a mediating variable while also examining directive leadership as a moderator in the dynamics of this association. Design/methodology/approach – The current study used partial least squares structural equation modelling (PLS-SEM) using SmartPLS 4.0. 373 questionnaires were collected from managers in Iraqi public universities, with 58.37% responding. Findings – The findings show that budget goal commitment partially mediates the connection between budget participation and managerial performance. Furthermore, the results showed that directive leadership increases the positive associations between budget goal commitment and managerial performance. Originality/value – This study expands the existing literature by shedding light on the mediating role of budget goal commitment and the moderating influence of directive leadership. It also enriches the discourse in management accounting by providing a more elucidation of how employee involvement in the budgeting process enhances managerial performance.