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Abstract The resilient modulus (MR) of different pavement materials is one of the most important input parameters for the mechanistic-empirical pavement design approach. The dynamic triaxial test is the most often used method for evaluating the MR, although it is expensive, time-consuming, and requires specialized lab facilities. The purpose of this study is to establish a new model based on Long Short-Term Memory (LSTM) networks for predicting the MR of stabilized base materials with various additives during wet-dry cycles (WDC). A laboratory dataset of 704 records has been used using input parameters, including WDC, ratio of calcium oxide to silica, alumina, and ferric oxide compound, Maximum dry density to the optimal moisture content ratio (DMR), deviator stress (σ d ), and confining stress (σ 3). The results demonstrate that the LSTM technique is very accurate, with coefficients of determination of 0.995 and 0.980 for the training and testing datasets, respectively. The LSTM model outperforms other developed models, such as support vector regression and least squares approaches, in the literature. A sensitivity analysis study has determined that the DMR parameter is the most significant factor, while the σ d parameter is the least significant factor in predicting the MR of the stabilized base material under WDC. Furthermore, the SHapley Additive exPlanations approach is employed to elucidate the optimal model and examine the impact of its features on the final result.

BACKGROUND: Urinary incontinence (UI) is a common health concern of women that often goes untreated owing to a lack of awareness and social stigma. It is associated with a lower quality of life and negative bio-psycho-social consequences. Therefore, it is crucial to diagnose UI and manage it in its early stages. This study aimed to assess the prevalence, characteristics, and risk factors in females attending Primary Healthcare Centers (PHCCs) in Bahrain. MATERIALS AND METHODS: A cross-sectional study was conducted in 8 PHCCs in Bahrain in April 2023. Females aged 18 and above were included. A multistage sampling technique was adopted. A self-administered questionnaire consisting of sociodemographic characteristics, risk factors and the International Consultation on Incontinence Questionnaire Short Form was used. Univariate and logistic regression analyses were performed. RESULTS: A total of 875 adult females were enrolled in the study with an average age of 37.5 (standard deviation = 12.3) years. Of the cohort, 24.8% patients had UI with stress incontinence as the most common type (71%), followed by urgency UI (21.2%). However, only 21.7% women had sought medical attention. Being a widow (Odds ratio [OR] = 2.49, P=0.007), retired (OR = 1.98, P=0.016), having had multiple pregnancies (95% CI: 0.82, 0.98; P = 0.016), having urogenital infection (OR = 2.50, P=0.001), having undergone surgery other than C-section (OR = 1.60, P=0.017), and constipation (OR = 1.62, P=0.038) were associated with increased risk for UI. CONCLUSION: This study revealed a relatively high prevalence of UI in females attending PHCCs. Since most patients with incontinence did not seek medical care, primary care physicians should address UI in patients using a well-structured screening tool and provide relevant health education.

Abstract Aims The viability of cardiac resynchronization therapy (CRT) in inotrope‐dependent heart failure (HF) has been a matter of debate. Methods and results We searched Medline, EMBASE, Scopus, and the Cochrane Library until 31 December 2022. Studies were included if (i) HF patients required inotropic support at CRT implantation; (ii) patients were ≥18 years old; and (iii) they provided a clear definition of ‘inotrope dependence’ or ‘inability to wean’. A meta‐analysis was performed in R (Version 3.5.1). Nineteen studies comprising 386 inotrope‐dependent HF patients who received CRT (mean age 64.4 years, 76.9% male) were included. A large majority survived until discharge at 91.1% [95% confidence interval (CI): 81.2% to 97.6%], 89.3% were weaned off inotropes (95% CI: 77.6% to 97.0%), and mean discharge time post‐CRT was 7.8 days (95% CI: 3.9 to 11.7). After 1 year of follow‐up, 69.7% survived (95% CI: 58.4% to 79.8%). During follow‐up, the mean number of HF hospitalizations was reduced by 1.87 (95% CI: 1.04 to 2.70, P

Abstract Over the last 20 years, the global production of dimension stones has grown rapidly. Today, seven countries—China, India, Turkey, Iran, Italy, Brazil, and Spain—account for around two-thirds of the world's output of dimension stones. Each one has annual production levels of nine to over twenty-two million tons. Mining operation in general is one of the most hazardous fields of engineering. A large amount of dimensional stone quarries require a special scheme of risk assessment. Risk Breakdown Structure is one of the major stages of risk assessment. In this paper, a detailed structure of risks of the dimension stone quarrying is formed, and divided into 17 main levels and 128 sublevels. The complexity of identifying different parameters made it requisite to use multi-attribute decision-making methods for prioritizing associated risks. As a case study, the main risks of the Ghasre Dasht marble mine are evaluated using the VIKOR method considering 10 major parameters under a Fuzzy environment. The results showed that the economic, Management, and Schedule risks are the most threatening risks of dimensional stone quarrying.

Background: Research on the relationship between bioaerosols and particulate matter (PM) concentrations is necessary, especially in hospitals where airborne bioaerosols can facilitate disease transmission. This study aimed to investigate the relationship between PM (PM2.5 and PM10) and bioaerosols, as well as the factors influencing them (temperature and humidity), in the air of liver transplant operating rooms (LTOR) at Imam Khomeini Hospital in Tehran. Methods: Bioaerosol samples (32 samples) were collected using the passive sampling method, employing open-door plates containing culture medium, during June and July of 2019. PM samples were obtained concurrently with bioaerosol samples using the GM8803 air quality detector, during four one-hour periods. Simple linear regression analysis was performed to determine the relationship between bioaerosol and PM concentrations. Results: It was revealed that the average concentrations of PM2.5 and PM10 were 17.8 (SD = 2.2) and 27.0 (SD = 2.6) μg/m3, respectively. Additionally, the average concentrations of bacterial and fungal bioaerosols were 2132 (SD = 837) and 550 (SD = 189.4) CFU/m2.h, respectively. Linear regression analysis demonstrated a strong correlation between bacterial bioaerosols and PM concentrations, whereas the relationship with fungal bioaerosols was relatively weaker. Conclusion: The findings of this study indicate that the indoor air in LTOR exhibits a higher level of microbial contamination than the recommended guidelines for high-risk environments. To improve the air quality in LTOR, it is recommended to implement periodic microbial monitoring, ensure the proper functioning of ventilation systems, and pay attention to their maintenance and operation.

One of the most significant biotic constraints that wheat production faces is weed infestation. Wheat is infested with different weeds that cause yield losses (up to 100%) that vary based on the type of weed, their density, and the environmental conditions. Chemical weed control is the most common method to control weeds in wheat. However, widespread herbicide resistance (>365 cases worldwide) has challenged the sustainability of this method. Use of nanoherbicides is a promising strategy to cope with the issue of herbicide resistance. To achieve weed control conditions during the whole growing season, nanoformulations of herbicides are a delivery strategy that involves covering an active component with various materials that vary in size from nano to nanoscale and then releasing the substance in a controlled manner. Nanoherbicides prevent leaching and volatilization of active components and premature degradation through photolysis, hydrolysis, and biodegradation. According to studies, nanoencapsulation of herbicides produces more targeted and less hazardous agricultural formulations. Using nanoherbicides in lower concentrations is beneficial. It lessens the long-term impacts of herbicide residues in wheat fields and the toxicity of these herbicides to the environment. It is also beneficial in eliminating the weeds without ever interacting with the crop plants, which eventually results in a greater wheat yield. This review provides a comprehensive overview of the emerging field of utilizing nanoparticles (NPs) in herbicides for effective weed management in wheat crops. This article explores the novel approach of integrating NPs with herbicidal agents, highlighting their potential benefits and challenges. The review also addresses the current state of research, recent advancements, and potential future directions in this evolving area of agricultural science.

AKT2 is crucial for cancer cells' invasion, metastasis, and survival. It is a possible downstream gene target of cancer glycolysis-related microRNAs. The study investigated the role of miRNA-4716–3p, rs2304186, and the AKT2 gene in blood cancer pathogenesis. RT-qPCR was used to analyze AKT2 gene mRNA and miRNA-4716–3p expression in 200 blood cancer samples and 200 healthy controls. Furthermore, Tetra-ARMS PCR was used to examine the rs2304186 AKT2 SNP in 300 patients and 290 control samples. miRNA-4716–3p was shown to be significantly downregulated (p = 0.0294), whereas mRNA expression of the AKT2 gene was found to be significantly upregulated (p = 0.0034) in blood cancer patients compared to healthy individuals. miRNA-4716–3p downregulation (p = 0.0466) was more pronounced, while AKT2 upregulation was non-significant (p = 0.1661) in untreated patients compared to chemotherapy-treated patients. Blood cancer risk was significantly associated with the rs2304186 GT genotype (p = 0.0432), TT genotype (p = 0.0502), and mutant allele (T) frequency (p = 0.0008). Polymorphism rs2304186 was associated with an increased risk of blood cancer in dominant (p = 0.0011), recessive (p = 0.0502), and additive (p = 0.0008) genetic models. The results suggested that the rs2304186 and the deregulated expression of miRNA-4716–3p and AKT2 gene at the mRNA level may significantly increase the incidence of blood cancer, particularly in the Pakistani population. Therefore, these may function as suitable biomarkers for blood cancer diagnosis and prognosis. Additional, larger-scale investigations may be required to affirm these results.

In data-scarce regions, prudent planning and precise decision-making for sustainable development, especially in agriculture, remain challenging due to the lack of correct information. Remotely sensed satellite images provide a powerful source for assessing land use and land cover (LULC) classes and crop identification. Applying remote sensing (RS) in conjunction with the Geographical Information System (GIS) and modern tools/algorithms of artificial intelligence (AI) and deep learning has been proven effective for strategic planning and integrated resource management. The study was conducted in the canal command area of the Lower Chenab Canal system in Punjab, Pakistan. Crop features/classes were assessed using the Normalized Difference Vegetation Index (NDVI) algorithm. The Moderate Resolution Imaging Spectroradiometer (MODIS) 250 m and Landsat 5 TM (thematic mapper) images were deployed for NDVI time-series analysis with an unsupervised classification technique to obtain LULC classes that helped to discern cropping pattern, crop rotation, and the area of specific crops, which were then used as key inputs for agricultural mechanization planning and resource management. The accuracy of the LULC map was 78%, as assessed by the error matrix approach. Limitations of high-resolution RS data availability and the accuracy of the results are the concerns observed in this study that could be managed by the availability of good quality local sources and advanced processing techniques, that would make it more useful and applicable for regional agriculture and environmental management.

Surface runoff significantly impacts the region's ecosystem and is closely linked to sustainable development and human well-being. The mathematical model SWAT running in an ArcGIS environment was used to estimate surface runoff in the Kubaisa watershed. The period simulated in this model is 31 years, sufficient to give good results regarding surface runoff volume and water yield contribution from each sub-watershed. The Kubaisa watershed has an area of 2485.50 km2 and comprises six sub-watersheds. The watershed consists of 172 HRUs distributed among sub-watersheds depending on the variation in soil layers, land use, vegetation, and slope. The volume of water calculated from the annual surface runoff rate for the simulation period was about 2699 million cubic meters, and its value was higher than the volume of water calculated from surface runoff due to lateral flow, groundwater discharge, and the contribution of each sub-watershed to the water yield. The highest value in water yield was in 2012, and the largest contribution was made by the sixth sub-watershed; thus, the difference is temporal and spatial in terms of water yield. Finally, through the analysis of multiple scenarios, the difference in hydrological response units is controlled by the difference in surface runoff, discharge, and water yield to the watershed. For this purpose, the SWAT model divides the watershed into many different units and starts the simulation on their basis.

Abstract Numerous hydrological applications, such as soil erosion estimation, water resource management, and rain driven damage assessment, demand accurate and reliable rainfall erosivity data. However, the scarcity of gauge rainfall records and the inherent uncertainty in satellite and reanalysis-based rainfall datasets limit rainfall erosivity assessment globally. Here, we present a new global rainfall erosivity dataset (0.1° × 0.1° spatial resolution) integrating satellite (CMORPH and IMERG) and reanalysis (ERA5-Land) derived rainfall erosivity estimates with gauge rainfall erosivity observations collected from approximately 6,200 locations across the globe. We used a machine learning-based Gaussian Process Regression (GPR) model to assimilate multi-source rainfall erosivity estimates alongside geoclimatic covariates to prepare a unified high-resolution mean annual rainfall erosivity product. It has been shown that the proposed rainfall erosivity product performs well during cross-validation with gauge records and inter-comparison with the existing global rainfall erosivity datasets. Furthermore, this dataset offers a new global rainfall erosivity perspective, addressing the limitations of existing datasets and facilitating large-scale hydrological modelling and soil erosion assessments.

High voltage (HV) outdoor insulators are subjected to both electrical and environmental stresses, which may lead to their failure. Among the causes, corona discharge, humidity and UV radiation are considered to be the most damaging factors. Efforts are therefore underway to investigate new materials for improving the performance of insulating systems. In this research work, silicone-based room temperature vulcanized samples filled with alumina trihydrate (ATH), silicon dioxide and magnesium hydroxide (MH) were prepared and exposed to AC corona discharge for a duration of 110 h. The electric discharge was also accompanied by UV radiation and two different humidity levels. Following aging of the test samples, diagnosis was conducted to assess their integrity. Measurements based on determining the static contact angle demonstrated the loss of hydrophobicity of all the materials, while hydrophobicity recovery phenomena revealed that ATH-doped materials demonstrated a comparatively higher increase in the contact angle than in samples filled with silicone dioxide (silica) and MH. Scanning electron microscopy analysis revealed deep cracks and block-like structures on their surfaces. Similarly, energy-dispersive X-ray analysis indicated the signs of surface oxidation of the aged samples. However, the data of elemental composition exhibited the loss of filler contents as well as that of carbon from the base matrix. The overall assessment showed that resistance to suppress aging is influenced by both the filler type and its concentration in the investigated composites. The ATH-filled composites exhibited outstanding performance when exposed to the rigors of corona discharge and other environmental stresses. This research contributes to materials science and HV engineering by addressing the development of composites for enhanced insulator performance, with future aspects lying in the utilization of nano-composites for advanced functionality and durability.

Abstract Aims The trials upon which recommendations for the use of cardiac resynchronization therapy (CRT) in heart failure used optimal medical therapy (OMT) before sodium‐glucose co‐transporter 2 inhibitors (SGLT2i). Moreover, the SGLT2i heart failure trials included only a small proportion of participants with CRT, and therefore, it remains uncertain whether SGLT2i should be considered part of OMT prior to CRT. Methods and results We compared electrocardiogram (ECG) and echocardiographic responses to CRT as well as hospitalization and mortality rates in consecutive patients undergoing implantation at a large tertiary centre between January 2019 to June 2022 with and without SGLT2i treatment. Three hundred seventy‐four participants were included aged 74.0 ± 11.5 years (mean ± standard deviation), with a left ventricular ejection fraction (LVEF) of 31.8 ± 9.9% and QRS duration of 161 ± 29 ms. The majority had non‐ischaemic cardiomyopathy (58%) and were in NYHA Class II/III (83.6%). These characteristics were similar between patients with (n = 66) and without (n = 308) prior SGLT2i treatment. Both groups demonstrated similar evidence of response to CRT in terms of QRS duration shortening, and improvements in LVEF, left ventricular end‐diastolic inner‐dimension (LVIDd) and diastolic function (E/A and e/e′). While there was no difference in rates of hospitalization (for heart failure or overall), mortality was significantly lower in patients treated with SGLT2i compared with those who were not (6.5 vs. 16.6%, P = 0.049). Conclusions We observed an improvement in mortality in patients undergoing CRT prescribed SGLT2i compared with those not prescribed SGLT2i, despite similar degrees of reverse remodelling. The authors recommend starting SGLT2i prior to CRT implantation, where it does not delay implantation.

BACKGROUND: In-flight medical emergency (IFE) impose considerable challenges on healthcare workers (HCWs) because of limited resources, constrained environment, and medico-legal issues. This study assessed HCWs knowledge, willingness, and confidence in addressing in-flight medical emergencies. MATERIALS AND METHODS: A cross-sectional study was conducted between June and August 2023 among nurses and physicians working in primary healthcare centers and governmental hospitals in Bahrain. Subjects were selected using stratified random sampling; a self-administered online questionnaire of high reliability (Cronbach alpha = 0.914) was used to collect the data. Logistic regression analysis were performed to determine association of knowledge, willingness, and confidence in dealing with in-flight emergencies with various characteristics of HCWs. RESULTS: The study included 805 HCWs with mean age of 35.5 years (SD=9.2). The findings indicated deficiency in training, with

Abstract Cerium oxide nanoparticles possess unique properties that make them promising candidates in various fields, including cancer treatment. Among the proposed synthesis methods for CNPs, biosynthesis using natural extracts, offers an eco-friendly and convenient approach for producing CNPs, particularly for biomedical applications. In this study, a novel method of biosynthesis using the aqueous extract of Eucalyptus camaldulensis leaves was used to synthesize CNPs. Scanning electron microscopy and Transmission electron microscopy (TEM) techniques revealed that the synthesized CNPs exhibit a flower-like morphology. The particle size of CNPs obtained using Powder X-ray diffraction peaks and TEM as 13.43 and 39.25 nm. Energy-dispersive X-ray spectroscopy and Fourier transform infrared spectroscopy confirmed the effect of biomolecules during the synthesis process and the formation of CNPs. The cytotoxicity of biosynthesized samples was evaluated using the MTT method demonstrating the potential of these samples to inhibit MCF-7 cancerous cells. The viability of the MCF-7 cell line conducted by live/dead imaging assay confirmed the MTT cytotoxicity method and indicated their potential to inhibit cancerous cells. Furthermore, the successful uptake of CNPs by MCF-7 cancer cells, as demonstrated by confocal microscopy, provides evidence that the intracellular pathway contributes to the anticancer activity of the CNPs. In general, results indicate that the biosynthesized CNPs exhibit significant cytotoxicity against the MCF-7 cancerous cell line, attributed to their high surface area.

Introduction: Omentin-1 is a newly discovered adipokine often secreted from visceral adipose tissue and is inversely related to obesity. Additionally, the adipocyte-specific protein adiponectin plays a significant role in the metabolic effects of obesity. This study aimed to investigate the interventions of submaximal aerobic exercise and flax oil supplementation on the expression of adiponectin and omentin-1 hormone genes in obese rats.Methods: Thirty laboratory rats were divided into five equal groups: a) a control group (with normal food consumption), and four groups with high-fat food consumption including b) linseed oil supplement, c) a submaximal exercise program, d) a combination of exercise intervention and flax oil supplement, and e) sham group (high-fat diet). An aerobic training program of running with an intensity equal to 55-70% vo2max was implemented five days a week for eight weeks. The intervention of linseed oil, one gram per kilogram of the weight of obese rats, was also administered to the rats five days a week for eight weeks.Results: The exercise program intervention increased the gene expression of adiponectin and omentin-1 hormones in visceral white adipose tissue of obese rats (P0.05). However, the simultaneous intervention of independent variables significantly affected the gene expression of adiponectin and omentin-1 hormones in rats (P

Mnaza Noreen,1 Muhammad Bilal,1,2 Muhammad Usman Qamar,3,4 Nasir Rasool,1 Abid Mahmood,5 Sobia Umar Din,1 Tawaf Ali Shah,6 Yousef A Bin Jardan,7 Mohammed Bourhia,8 Lahcen Ouahmane9 1Department of Chemistry, Government College University Faisalabad, Faisalabad, 38000, Pakistan; 2School of Chemistry and Chemical Engineering, Shandong University, Jinan, 250100, People’s Republic of China; 3Institute of Microbiology, Faculty of Life Sciences, Government College, University Faisalabad, Faisalabad, 38000, Pakistan; 4Division of Infectious Disease and Department of Medicine, University of Geneva, Geneva, Switzerland; 5Department of Pharmaceutical Chemistry, Government College University Faisalabad, Faisalabad, 38000, Pakistan; 6College of Agriculture Engineering and Food Science, Shandong University of Technology, Zibo, 25500, People’s Republic of China; 7Department of Pharmaceutics, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia; 8Department of Chemistry and Biochemistry, Faculty of Medicine and Pharmacy, Ibn Zohr University, Laayoune, 70000, Morocco; 9Laboratory of Microbial Biotechnologies, Agrosciences and Environment (Biomage), Labeled Research Unit-CNRSTN° 4, Cadi Ayyad University, Marrakesh, 40000, MoroccoCorrespondence: Nasir Rasool; Mohammed Bourhia, Email nasirrasool@gcuf.edu.pk; m.bourhia@uiz.ac.maIntroduction: New Delhi Metallo-β-lactamase producing Klebsiella pneumoniae (NDM-1-KP) sequence type (ST) 147 poses a significant threat in clinical settings due to its evolution into two distinct directions: hypervirulence and carbapenem resistance. Hypervirulence results from a range of virulence factors, while carbapenem resistance stems from complex biological mechanisms. The NDM-1-KP ST147 clone has emerged as a recent addition to the family of successful clones within the species.Methods: In this study, we successfully synthesized 5-bromo-N-alkylthiophene-2-sulfonamides ( 3a-c) by reacting 5-bromothiophene-2-sulfonamide ( 1) with various alkyl bromides ( 2) using LiH. We also synthesized a series of compounds ( 4a-g) from compound ( 3b) using the Suzuki-Miyaura cross-coupling reaction with fair to good yields (56– 72%). Further, we screened the synthesized molecules against clinically isolated New Delhi Metallo-β-lactamase producing Klebsiella pneumoniae ST147. Subsequently, we conducted in-silico tests on compound 3b against a protein extracted from NDM-KP ST147 with PDB ID: 5N5I.Results: The compound ( 3b) with favourable drug candidate status, MIC of 0.39 μg/mL, and MBC of 0.78 μg/mL. This low molecular weight compound exhibited the highest potency against the resistant bacterial strains. The in-silico tests revealed that the compound 3b against a protein extracted from NDM-KP ST147 with PDB ID: 5N5I demonstrated H-bond and hydrophobic interactions.Conclusion: The 5-bromo-N-alkylthiophene-2-sulfonamides displayed antibacterial efficacy against New Delhi Metallo-β-lactamase producing Klebsiella pneumoniae ST147. After the in-vivo trial, this substance might offer an alternative therapeutic option. Keywords: NDM-1, antibacterial, drug resistance, Klebsiella pneumoniae, ST, sulfonamides

Abstract:The research was conducted in a greenhouse at the Department of Horticulture and Garden Engineering, College of Agriculture, University of Anbar, Ramadi City, to study the impact of NPK supplementation and CPPU cytokinin spraying on Ficus nitida L.'s vegetative and root growth properties. The study encompassed two primary factors. The first factor comprises the NPK chemical fertilizer in four distinct concentrations: F0 (no addition), F1 (1g urea, 3g DAB, 2g potassium sulfate), F2 (2g urea, 6g DAB, 4g potassium sulfate), and F3 (3g urea, 9g DAB, 4g potassium sulfate). The second factor involves the cytokine CPPU at three concentrations: C0 (no addition), C1 (3 mg/ liters), and C2 (6 mg/ liter). The study was structured using a randomized complete block design (RCBD) comprising three blocks, with three pots allocated per experimental unit. Each block consisted of 36 coefficients, resulting in a total of 108 experimental units across all blocks. Leaf area ,the number of leaves per plant, The increase in the number of branches, the percentage of nitrogen ,phosphorus ,and potassium in the leaves, the percentage of carbohydrates ,And the surface area of the roots 30.837cm2 , 185.083 leaf plant-1 , 40.500 Plant Branch-1 , 2.66% , 0.291% , 1.585% , 6.005%,43.041 cm-1.The increase in vegetative, root, and chemical growth characteristics is attributed to the fact that chemical fertilization with nitrogen plays a major role in the plant's life by participating in the formation of RNA and DNA acids, as well as the enzymatic co-factors NAD and NADP, and also participates in the photosynthetic process (El-Badawy and Sultan, 2020).

Abstract Background The incidence estimates for intracranial subdural empyema are 0.1 per 100,000 individuals, making it a rare clinical condition. It is a highly morbid and fatal illness that is most commonly the result of a primary infection somewhere else. Case presentation The authors present a young male patient 15 years presented with 1 week history of headache, fever, confusion and seizure attack with initial negative CT head and nearly negative CSF analysis. With few days he developed left sided weakness. MRI brain showed right temporoparietal subdural fluid collection with midline shift. Urgent neurosurgical evacuation was made and revealed subdural empyema. The boy received combination therapy of vancomycin, ceftriaxone, and metronidazole. The culture of the pus was negative but 16S rRNA gene sequencing (bacterial) revealed streptococcus intermedius. He made a good recovery with no recollection or neurological deficit on follow up. Conclusion This case highlights the possibility of occurrence of this rare infection in otherwise healthy individuals without obvious precipitating factor. It also indicates the superiority of MRI brain over CT head in detection of subdural collection. The rapid diagnosis and intervention improve the outcome of the patient.

Abstract This work implements the recently developed nth state Markovian jumping particle swarm optimisation (PSO) algorithm with local search (NS-MJPSOloc) awareness method to address the economic/environmental dispatch (EED) problem. The proposed approach, known as the Non-dominated Sorting Multi-objective PSO with Local Best (NS-MJPSOloc), aims to enhance the performance of the PSO algorithm in multi-objective optimisation problems. This is achieved by redefining the concept of best local candidates within the search space of multi-objective optimisation. The NS-MJPSOloc algorithm uses an evolutionary factor-based mechanism to identify the optimum compromise solution, a Markov chain state jumping technique to control the Pareto-optimal set size, and a neighbourhood’s topology (such as a ring or a star) to determine its size. Economic dispatch refers to the systematic allocation of available power resources in order to fulfill all relevant limitations and effectively meet the demand for electricity at the lowest possible operating cost. As a result of heightened public consciousness regarding environmental pollution and the implementation of clean air amendments, nations worldwide have compelled utilities to adapt their operational practises in order to comply with environmental regulations. The (NS-MJPSOloc) approach has been utilised for resolving the EED problem, including cost and emission objectives that are not commensurable. The findings illustrate the efficacy of the suggested (NS-MJPSOloc) approach in producing a collection of Pareto-optimal solutions that are evenly dispersed within a single iteration. The comparison of several approaches reveals the higher performance of the suggested (NS-MJPSOloc) in terms of the diversity of the Pareto-optimal solutions achieved. In addition, a measure of solution quality based on Pareto optimality has been incorporated. The findings validate the effectiveness of the proposed (NS-MJPSOloc) approach in addressing the multi-objective EED issue and generating a trade-off solution that is both optimal and of high quality. We observed that our approach can reduce $$\sim $$ ∼ 6.4% of fuel costs and $$\sim $$ ∼ 9.1% of computational time in comparison to the classical PSO technique. Furthermore, our method can reduce $$\sim $$ ∼ 9.4% of the emissions measured in tons per hour as compared to the PSO approach.

BackgroundColorectal cancer (CRC) is the leading cancer among Saudis, and mutations in BRAF, KRAS, and NRAS genes are therapeutically significant due to their association with pathways critical for cell cycle regulation. This study evaluates the prevalence and frequency of somatic mutations in these actionable genes in Saudi CRC patients and assesses their pathogenicity with bioinformatics methods.MethodologyThe study employed the TruSight Tumor 15 next-generation sequencing (NGS) panel on 86 colorectal cancer (CRC) samples to detect somatic mutations in BRAF, KRAS, and NRAS genes. Bioinformatic analyses of NGS sequences included variant annotation with ANNOVAR, pathogenicity prediction, variant reclassification with CancerVar, and extensive structural analysis. Additionally, molecular docking assessed the binding of Encorafenib to wild-type and mutant BRAF proteins, providing insights into the therapeutic relevance of pathogenic variants.ResultsOut of 86 tumor samples, 40 (46.5%) harbored somatic mutations within actionable genes (BRAF: 2.3%, KRAS: 43%, NRAS: 2.3%). Fourteen missense variants were identified (BRAF: n = 1, KRAS: n = 11, NRAS: n = 2). Variants with strong clinical significance included BRAF V600E (2.32%) and KRAS G12D (18.60%). Variants with potential clinical significance included several KRAS and an NRAS mutation, while variants of unknown significance included KRAS E49K and NRAS R102Q. One variant was novel: NRAS R102Q, and two were rare: KRAS E49K and G138E. We further extended the CancerVar prediction capability by adding new pathogenicity prediction tools. Molecular docking demonstrated that Encorafenib inhibits the V600E variant BRAF protein less effectively compared to its wild-type counterpart.ConclusionOverall, this study highlights the importance of comprehensive molecular screening and bioinformatics in understanding the mutational landscape of CRC in the Saudi population, ultimately improving targeted drug treatments.

ABSTRACT A 4‐year‐old white male DSH cat was presented to the Veterinary Hospital on 18 December 2023, with a history of lethargy, loss of appetite, and salivation. During the inspection of the oral cavity, unilateral swelling was observed on the ventral side of the jaw. Before any therapeutic intervention, a cell blood count (CBC) test and FNA cytology were conducted. A five‐day course of adjunctive treatment, including ceftriaxone (5.5 mg/kg via IV) and clindamycin (25 mg/kg via IV), was given due to a suspicion of infection. Pantoprazole, metoclopramide (administered at 1 mg/kg via IV and IM), and duphalyte 500 mL (10 mL/kg IV) were used concurrently to alleviate nausea and stimulate appetite. Following a lack of improvement, a radical excision procedure was performed on tooth number 304 after the 5‐day treatment to excise the mass for histopathology and immunohistochemical analysis. The observation of mitotic bodies, pleomorphism, necrosis, and haemorrhage were consistent with malignancy, and squamous cell carcinoma (SCC) was suspected. Immunohistochemical staining was positive for the vimentin marker, the S‐100 protein, and desmin. This report describes a rare case of oral fibrosarcoma in a DSH cat in Iran.

Background: Globally, there is significant variation in the out-of-hospital cardiac arrest (OHCA) survival rate. Early links in the chain of survival, including bystander cardiopulmonary resuscitation (CPR) and the use of an automated external defibrillator at the scene, are known to be of crucial importance, with strong evidence of increased survival rate with good neurological outcomes. The data from the Middle East are limited and report variable rates of bystander CPR and survival. It is crucial to get prospective, reliable data on bystander response in these regions to help plan interventions to improve bystander response and outcomes. ObjectiveThis international collaborative study aims to describe the characteristics, including bystander interventions and outcomes, of OHCAs brought to hospitals enrolled in the study from Abu Dhabi, United Arab Emirates; Doha, Qatar; and Muscat, Oman. It also aims to describe the strength of the association between bystander response and OHCA outcomes, including the return of spontaneous circulation, survival to hospital admission, survival to discharge, and good neurological outcome at discharge in the local context of low bystander CPR rates. MethodsThis multicenter, prospective, noninterventional observational study (Bro. Study) will be conducted at the emergency departments of 4 participating tertiary care hospitals in 3 countries. The data will be collected prospectively according to the Utstein style (a set of internationally accepted guidelines for uniform reporting of cardiac arrests) on demographic variables (age, sex, nationality, country, participating center, and comorbidities), peri–cardiac arrest variables (location, witnessed or not, bystander CPR, use of automated external defibrillator, time of emergency medical services arrival, initial rhythm, number of shocks, and time of prehospital CPR), and outcome variables (return of spontaneous circulation, survival to discharge, and neurological outcome at discharge and 3 months). Univariate and multivariate analysis with logistic regression models will be used to measure the strength of the association of bystander interventions with outcomes using SPSS (version 22). ResultsData collection began in November 2023 and will continue for 2 years, with publication expected by early 2026. ConclusionsBystander response to an OHCA is critical to a favorable outcome. The reliable, baseline bystander CPR data will be a cornerstone in the team’s next planned projects, which are to qualitatively identify the barriers to bystander CPR, conduct a scoping review of community interventions in the Gulf and other Asian countries, and design and implement strategies to help improve the bystander CPR rate in the community. International Registered Report Identifier (IRRID)DERR1-10.2196/58780

IntroductionThis study aims to explore the mechanisms by which the digital economy influences urban carbon emissions in China, with a particular focus on potential threshold effects and the mediating role of technology. As the digital economy grows, it impacts various environmental metrics, including carbon emissions, necessitating a deeper understanding of its nonlinear dynamics and implications for sustainable urban development.MethodsUsing panel data from 286 prefecture-level cities in China spanning from 2012 to 2021, we apply threshold effect models and mediation effect tests. The threshold effect model is employed to investigate non-linear characteristics of the digital economy’s impact on carbon emissions, while the mediation effect model assesses the role of technology as an intermediary in this relationship.ResultsThe threshold effect model reveals a single threshold in the impact of the digital economy on urban carbon emissions, indicating a nonlinear relationship. Initially, the influence of the digital economy on emissions is weak, but as the digital economy develops, its effect becomes more pronounced. The mediation effect model demonstrates that technological advancement can offset the increase in emissions associated with digital economic growth, thus showcasing technology’s potential to mitigate environmental impacts.DiscussionThe findings suggest that while the digital economy generally promotes urban carbon emissions, its impact is non-linear and mitigatable through technological innovation. To curb emissions in urban areas, fostering technological innovation and supporting green technology research and development are critical. Moreover, enhancing management and supervision within the digital economy sector can contribute to balancing economic growth with environmental goals. These insights are valuable for policymakers striving to harmonize digital economic expansion with sustainable environmental practices.

Composite construction materials are extensively employed and have proven to be more effective than their individual components, such as steel and concrete. This is because composites combine the strengths of different materials, resulting in enhanced properties such as increased strength-to-weight ratios, better durability, and improved thermal efficiency. However, despite the strong structural properties and energy-saving benefits of reinforced concrete sandwich panels, their use is restricted in many rural regions of developing nations like Pakistan, largely because of the economic limitations faced by the communities. Therefore, this study introduces cost-effective structural mud insulated panels (SMIPs) that utilize mud wythes and evaluates their mechanical performance. These panels consist of a lightweight Expanded Polystyrene (EPS) foam core, sandwiched between two galvanized steel-reinforced mud layers. The study includes flexural, compression, diagonal tension, and water absorption tests. Flexural tests revealed that the panels have substantial load-bearing capacity under bending forces. Whereas, Compression tests showed that the panels possess adequate strength and stiffness to support moderate structural loads. Additionally, Diagonal tension tests confirmed the panels’ ability to resist significant in-plane loads. Water absorption tests also indicated that the panels demonstrated adequate moisture resistance, staying within the acceptable limit of 15%. These findings highlight the mechanical and hydric properties of SMIPs, underscoring their potential in sustainable construction, especially in economically constrained regions.

Despite the effectiveness of seismic stimulation in enhancing oil production from reservoirs, the impact of high-frequency vibrations on oil droplets confined within pore throats has not been adequately investigated. This laboratory-scale experimental study examines the impact of low and high-frequency sinusoidal vibrations in dislodging oil droplets trapped in a specific pore-throat region. Sinusoidal vibrations ranging from 10 to 80 Hz and with maximum displacement amplitudes of 1.2–0.06 mm are applied. By comparing the images captured prior to and after the application of seismic vibrations, the amount of oil recovered is determined. Commercial gasoline and diesel are used as trapped oil samples, and water is used as the injection fluid to bring out the effect of fluid viscosities in seismic dislodgment. While applying vibrations to trapped oil in the pore throat, three different recovery modes are observed: continuous, snap-off, and emulsified. The continuous oil recovery mode is observed in cases with minimal flow resistance through the pore throat, whereas a snap-off or intermittent recovery mode is observed when the flow resistance is high, and the vibration frequencies fall within the midrange of 40–60 Hz. An emulsified oil recovery mode is observed at high vibration frequencies. The amount of recovered oil increases as geometrical restrictions and trapped oil viscosity decrease. Seismic mobilization is observed to be directly proportional to the mobilization velocity and inversely proportional to the entrapped oil viscosity and geometrical restriction factors.

Summary: Background: Three to 4-weekly intramuscular injections of benzathine penicillin G (BPG) for a prolonged period (e.g., 10 years, until age 40 years, or lifelong) are recommended for preventing group A streptococcal infections that cause recurrent acute rheumatic fever (ARF) and potential progression to rheumatic heart disease (RHD). The duration of treatment, frequency and local pain associated with BPG injections may lead to reduced compliance. Shorter courses of BPG are recommended for the treatment of syphilis and Streptococcal infections. We aimed to assess the effects of local anaesthesia in reducing injection pain in patients who are being treated with BPG. Methods: In this systematic review and meta-analysis, we searched the Cochrane Central Register of Controlled Trials, MEDLINE, EMBASE, Conference Proceedings Citation Index-Science and LILACS from database inception up to May 4, 2024, and performed additional searches for grey literature. Randomised controlled trials comparing BPG vs. BPG administered alongside local anaesthetics were included. Randomized controlled trials using BPG, irrespectively of indication, and testing any local anaesthetic agent for pain alleviation were considered eligible. We applied GRADE to assess the quality of evidence. Summary data were extracted from included trials. The primary outcome was injection pain, assessed through mean differences. A random-effects model was utilized to account for study heterogeneity. This study is registered with PROSPERO, CRD42022342437. Findings: Database searches identified a total of 3958 records, and 3 additional records were retrieved from grey literature searches. After removal of duplicates, screening of abstracts and full-text review, eight trials were included, combining a total of 489 patients (151 patients with RHD). Immediate pain level, as reported by patients, was of high intensity in most studies. Low intensity pain was still reported at 24 h. Administration of lidocaine mixed with BPG was associated with a significant reduction in immediate post-injection pain (mean difference −3.84, 95% confidence interval −6.19 to −1.48, P = 0.0001; 4 studies; I2 = 98%; GRADE: moderate quality), pain at 5 min (mean difference −2.85, 95% CI confidence interval −3.78 to −1.92, P

Predicting slope stability is important for preventing and mitigating landslide disasters. This paper examines the existing approaches for analyzing slope stability. There are several established conventional approaches for slope stability analysis that can be applied in this context. However, in recent decades, soft computing methods has been extensively developed and employed in stochastic slope stability analysis, notably as surrogate models to improve computing efficiency in contrast to traditional approaches. Soft computing methods can deal with uncertainty and imprecision, which may be quantified using performance indices like coefficient of determination, in regression and accuracy in classification. This review study focuses on conventional methods such as the Bishop’s method and Janbu’s method, as well as soft computing models such as support vector machine, artificial neural network, Gaussian process regression, decision tree, etc. The advantages and limitations of soft computing techniques in relation to conventional methods have also been thoroughly covered in this paper. The achievements of soft computing methods are summarized from two aspects—predicting factor of safety and classification of slope stability. Key potential research challenges and future prospects are also given.

Recent advancements in the development of low-emission materials have become a global imperative to achieve net-zero emissions in efforts to limit the effects of climate change. The materials transition agenda not only aims to substitute emission-intensive materials but also incorporates emission reduction efforts into goods and applications. Natural fiber composites have received attention from both commercial and research communities because of their inherent eco-friendliness, lower cost, and lower energy consumption during processing than their synthetic counterparts. Additionally, rubber-reinforced polymer composites have generally shown promising results, particularly in resisting sudden deformation. Although studies combining waste rubber with natural fibers in polymer composites are nascent, with limited existing literature, this area demonstrates remarkable potential for the substitution of traditional synthetic composites. Therefore, this review outlines the recent developments in polymer composites incorporating the use of natural fibers and rubber in various forms. The use of rubber as a filler has been shown to enhance tensile strength and impact performance while enhancing the surface finish, however, conflicting studies were identified. Hybridizing waste rubber and natural fibers presents a promising path to further enhance the mechanical performance of composite materials. Emphasis has been placed on the use of fillers in various forms and on their inclusion in thermoset matrices. The future outlook and research opportunities are also presented in this review.

Objective(s): Despite the many benefits of mesenchymal stem cell (MSC) transplantation for tissue regeneration, there are some limitations to using them, including the high costs, applying invasive procedures, the possibility of transplant rejection, and cell malignancy. This study aimed to investigate the effect of secretions of bone marrow stromal cells (BMSCs) with the cell-free strategy on damaged sciatic nerve with an emphasis on the role of apoptosis and the expression of myelin protein zero (MPZ) and nerve growth factor (NGF) proteins.Materials and Methods: BMSCs were cultured and a 25-fold concentrated conditioned medium (CM) from the cells was provided. After creating a crush injury in the left sciatic nerve of male rats, BMSCs or CM were injected into the injured site of the nerve. Four weeks later, the expression of MPZ, NGF, Bax, and Bcl-2 proteins in the sciatic nerve and histological parameters of the sciatic nerve and gastrocnemius muscle were assessed.Results: The results demonstrated that injection of CM decreased apoptosis and increased expression of MPZ and NGF proteins, improving remyelination and regeneration of the sciatic nerve almost as much as the transplantation of the BMSCs themselves compared to the control group.Conclusion: The results suggest that BMSC secretions may improve remyelination and regeneration of damaged sciatic nerve by increasing the expression of MPZ and NGF and decreasing apoptosis.

Abstract In this study, the electronic transport properties of 11-Cis and Trans retinal, components of rhodopsin, were investigated as optical molecular switches using the nonequilibrium Green’s function (NEGF) formalism combined with first-principles density functional theory (DFT). These isomers, which can be reversibly converted into each other, were examined in detail. The structural and spectroscopic properties, including infrared (IR), Raman, nuclear magnetic resonance (NMR), and ultraviolet (UV) spectra, were analyzed using the hybrid B3LYP/6–311 + + G** level of theory. Complete vibrational assignments were performed for both forms utilizing the scaled quantum mechanical force field (SQMFF) methodology. To evaluate the conductivity of these molecules, we utilized current–voltage (I-V) characteristics, transmission spectra, molecular projected self-consistent Hamiltonian (MPSH), HOMO–LUMO gap, and second-order interaction energies (E2). The trendline extrapolation of the current–voltage plots confirmed our findings. We investigated the effect of different electrodes (Ag, Au, Pt) and various connection sites (hollow, top, bridge) on conductivity. The Ag electrode with the hollow site exhibited the highest efficiency. Our results indicate that the Cis form has higher conductivity than the Trans form.

Abstract Burning fossil fuels emits a significant amount of $$\hbox {CO}_{2}$$ CO 2 , causing climate change concerns. $$\hbox {CO}_{2}$$ CO 2 Capture and Storage (CCS) aims to reduce emissions, with fullerenes showing promise as $$\hbox {CO}_{2}$$ CO 2 adsorbents. Recent research focuses on modifying fullerenes using an electric field. In light of this, we carried out DFT studies on some B, N, and P doped $$\hbox {C}_{20}$$ C 20 ( $$C_{20-n}X_n$$ C 20 - n X n , n = 0, 1, 2, and 3; X = B, N, and P) in the absence and presence of an electric field in the range of 0-0.02 a.u.. The cohesive energy was calculated to ensure their thermodynamic stability showing, that despite having lesser cohesive energies than $$\hbox {C}_{20}$$ C 20 , they appear in a favorable range. Moreover, the charge distribution for all structures was depicted using the ESP map. Most importantly, we evaluated the adsorption energy, height, and $$\hbox {CO}_{2}$$ CO 2 angle, demonstrating the B and N-doped fullerenes had the stronger interaction with $$\hbox {CO}_{2}$$ CO 2 , which by far exceeded $$\hbox {C}_{20}$$ C 20 ’s, improving its physisorption to physicochemical adsorption. Although the adsorption energy of P-doped fullerenes was not as satisfactory, in most cases, increasing the electric field led to enhancing $$\hbox {CO}_{2}$$ CO 2 adsorption and incorporating chemical attributes to $$\hbox {CO}_{2}$$ CO 2 -fullerene interaction. The HOMO–LUMO plots were obtained by which we discovered that unlike the P-doped $$\hbox {C}_{20}$$ C 20 , the surprising activity of B and N-doped $$\hbox {C}_{20}$$ C 20 s against $$\hbox {CO}_{2}$$ CO 2 originates from a high concentration of the HOMO-LUMO orbitals on B, N and neighboring atoms. In the present article, we attempt to introduce more effective fullerene-based materials for $$\hbox {CO}_{2}$$ CO 2 adsorption as well as strategies to enhance their efficiency and revealing adsorption nature over B, N, and P-doped fullerenes and in the end, hope to encourage more experimental research on these materials within growing electric field for $$\hbox {CO}_{2}$$ CO 2 capture in the future.

Abstract Introduction There were no previous studies discussing the comparison of the complications among traumatic brain injury (TBI) cases during weekdays and weekends. The current study aims to retrospectively compare the TBI outcome of geriatric patients on weekdays versus weekends in the neurosurgery department in a tertiary hospital in Oman. Methods This is a retrospective study, from December 2015 to December 2019. Medical records of 670 patients above 65 years and admitted to the neurosurgery ward were reviewed. From that, only 45 patients over 65 years, diagnosed with TBI and managed surgically were included. Results The study included 28 patients admitted during weekdays and 17 patients admitted during weekends. Nevertheless, the highest number of admissions was during Friday. The male-to-female ratio was 3.6:1 during weekdays and 3.2:1 during weekends. The average length of stay (LOS) was 12.4 days among patients operated on weekdays compared to 36.5 days on weekends. For average ICU stay, it was 3.9 days during weekdays compared to 32.2 during weekends (p = 0.011). Complications were found to be more common among patients admitted on weekends (p = 0.015). Conclusion Significant differences between weekdays and weekends were found. So, more trauma imaging facilities and neurosurgeons need to be available during the weekends.

This research endeavors to advance the anti-corrosive characteristics, mainly the physico-mechanical properties, by incorporating graphene oxide (GO) into a polyimide (PI) matrix. So, a nanocomposite coating is fabricated for an aluminum alloy substrate. Results reveal that the coating was uniformly dispersed across the surface signifying that the inclusion of GO increased the PI dispersion. The π–π stacking interactions between the aromatic rings of PI and GO contribute to their stability and improved anticorrosive properties. The incorporation of GO to PI films significantly enhances hydrophobicity, as evidenced by the increased contact angles. Assessing the corrosion resistance of the coating in a 3.5 wt% NaCl solution through electrochemical impedance spectroscopy and potentio-dynamic polarization establishes a prominent correlation between the percentage of GO and the anticorrosion efficiency of the composite coating. Precisely, the nanocomposite coating containing 5 wt% GO exhibits an impressive impedance modulus value of 107, and the corrosion current density (I cor) is drastically reduced by over three orders of magnitude, reaching 4.8 × 10−9 A cm−2, as indicated by the polarization curve. Also, prolonged immersion tests confirm the exceptional protective ability of the S5 coating (5 wt% GO), effectively shielding the metal for up to 100 h. After conducting diagnostic measurements, the hybrid nanocomposites of GO/PI examined in this study showcased their effectiveness as inhibitors in anticorrosive coatings. These composites played a vital role to hinder the oxidation of underlying aluminum alloy when exposed to oxidizing chemicals, water, or air, thereby extending the protective duration.

Abstract Background Self-stigma and negative attitudes toward mental illness have been identified as significant barriers that hinder individuals from seeking psychological assistance, leading to adverse consequences in their lives. Aim This study aimed to assess mental health stigma and internship nursing students’ attitudes toward seeking professional help. Methods A cross-sectional design was conducted in the current study including a purposive sample of 228 participants of internship nursing students using a Socio-demographic data sheet, Self-Stigma of Seeking Help scale (SSOSH), and Attitude toward seeking professional psychological help scale (ATSPPH). The data acquisition period spanned from August to November 2022. Results This study revealed significant insights into the attitudes of internship nursing students toward seeking professional psychological help. Gender emerged as a notable factor, with males exhibiting higher levels of self-stigma compared to females (mean = 2.872). Attitudes towards seeking professional help varied significantly based on age, gender, residence, and marital status. Specifically, participants aged 23 years, females, rural residents, and married individuals demonstrated the highest Mean scores reflecting attitudes that lean more positively towards seeking help. Furthermore, a significant negative correlation (r = -0.372, p

The effects of spray nutrition with boron and salicylic acid on two genotypes of bean plants, Local and Spanish genotypes, learned using a Randomize complete block design (RCBD) in growth season 2023-2022. Three boron concentrations (0, 25, 50) mg. L1 and salicylic acid concentrations (0, 100, 200) mg. L-1 were used, each coefficient contains three replicates. Plant height, glucose content, protein content, and biological yield were all studied. The results explain that 100 mg. L-1 of salicylic acid concentrations gives maximum values for plant height and biological yield. The concentration of 200 mg. L-1 of salicylic acid gives maximum values in protein and carbohydrate content. The concentration 50 mg. L-1 of boon produced the greatest plant height and carbohydrate content, while the concentration 25 mg. L-1 of boron yielded the greatest protein content. The biological yield decreased significantly. The local genotype excelled in carbohydrate content, while the Spanish genotype excelled in plant height, protein content, and biological yield. The interaction between types and boron concentration revealed that the Spanish genotype had the maximum plant height and protein content at 25 mg. L-1, However local genotype gives the maximum value of carbohydrate content at 50 mg. L-1, while the biological yield did not achieve any significant increase. The interaction between salicylic acid and genotypes produced the greatest plant height and biological yield for the Spanish genotype, whereas the concentration of 200 mg. L-1 of salicylic acid produced the greatest of protein content for the local genotype. The local species had the maximum carbohydrate content at the concentration 100 mg. L-1 of salicylic acid. When both salicylic acid and boron concentrations were applied at 100 and 0 mg. L-1, the result explane the interaction between them achieved a significant increase in plant height and biological yield, whereas the interaction of 100 mg. L-1 of salicylic and 25 mg. L-1 of boron concentrations gives significant increase in protein content. Furthermore, combining concentration 200 mg. L-1 salicylic acid with 50 mg. L-1 boron an in achieved a significant increase in carbohydrate content. As a result of the three-way interaction between three research components, a concentration 200 mg. L-1 0f salicylic acid with 25 mg. L-1 of boron yielded the maximum value for plant height of the Spanish genotype. while, the Spanish species had the maximum protein content at a concentration 100 mg. L-1 of salicylic acid with 25 mg. L-1 of boron. The concentration is 200 mg. L-1 of salicylic acid with 50 mg. L-1of boron, on the other hand, provided the greatest value for carbohydrate content of the local genotype.

Abstract Waste from the brain has been shown to be cleared via the perivascular spaces through the so-called glymphatic system. According to this model the cerebrospinal fluid (CSF) enters the brain in perivascular spaces of arteries, crosses the astrocyte endfoot layer, flows through the parenchyma collecting waste that is subsequently drained along veins. Glymphatic clearance is dependent on astrocytic aquaporin-4 (AQP4) water channels that are highly enriched in the endfeet. Even though the polarized expression of AQP4 in endfeet is thought to be of crucial importance for glymphatic CSF influx, its role in extracellular solute clearance has only been evaluated using non-quantitative fluorescence measurements. Here we have quantitatively evaluated clearance of intrastriatally infused small and large radioactively labeled solutes in mice lacking AQP4 (Aqp4 –/– ) or lacking the endfoot pool of AQP4 (Snta1 –/– ). We confirm that Aqp4 –/– mice show reduced clearance of both small and large extracellular solutes. Moreover, we find that the Snta1 –/– mice have reduced clearance only for the 500 kDa [3H]dextran, but not 0.18 kDa [3H]mannitol suggesting that polarization of AQP4 to the endfeet is primarily important for clearance of large, but not small molecules. Lastly, we observed that clearance of 500 kDa [3H]dextran increased with age in adult mice. Based on our quantitative measurements, we confirm that presence of AQP4 is important for clearance of extracellular solutes, while the perivascular AQP4 localization seems to have a greater impact on clearance of large versus small molecules.

The play Rosmersholm, one of the social plays aimed at the upper class of society, the clergy, simulates the Norwegian reality on a narrow level in conveying the situation surrounding Rosmersholm. The play begins with the loss of one of its pillars, which is the pastor's wife, Rosmer. The play consists of four chapters and is a social epic that conveys a state of salvation, socio-religious liberation and adherence resulting from family legacies that turn a person towards what he does not aspire to. This study aims to research the symbolism of the spiritual personality and its behaviours to present this type of class that remained closed for a long time and cannot be explored by the general public. It also provides an analytical study of free personalities, resulting in knowledge of the extent of the influence of religion and freedom on individuals. At that time, these two types of characters were considered incompatible and did not meet due to the nature of the religious symbol, closed in on itself, and its distance from religiosity and the church. Combining them together leads to one of the following results: - Aversion. - Convergence.

Changes to certain geophysical characteristics, such as sonic transit time with depth, indicate the pressure system of over-pressured zones. In this study, well-log data is used to investigate the distribution of formation overpressures in the tertiary reservoirs of one Iraqi oil field. Three wells located within the tertiary carbonate reservoir of one Iraqi oil field are of interest in this study. To assess the reservoirs, a petrophysics log analysis was carried out. The reservoir's intervals are the area of interest. The sonic velocity data was used to create a normal compaction trend line, and the overpressure zones were identified by observing the reversals in the normal compaction trend line. The pore pressure, fracture pressure, and gradients were calculated using the Eaton method. The method relies on the correlation between the normal transit time found on the normal compaction trend and the observed transit time from the log reading. The sonic log determines the bulk density and matches the density derived from the density log. Abnormal pressures were identified primarily within the area of interest, especially with unit B in Well 1. In Well 2, the abnormal pressures were recognized in zones above the area of interest. Abnormal pressures in Well 3 were identified primarily within all areas of interest. The importance of this work is to help predict overpressure zones in the research area before drilling or workover.

Abstract The reduction of fossil energy sources, the harmful environmental effects caused by high energy consumption, and the increase in the share of energy consumption in the building sector have increased the need to pay attention to building energy consumption. This study offers an intricate examination of a residential locality in Florida, with a particular emphasis on the architectural design of a building, issues related to the local environment and several possibilities for enhancing energy efficiency. It examines the influence of the environment in the area on architectural design and investigates two different possibilities for improving energy efficiency. The first scenario focuses on assessing thermal insulation and shading, while the second scenario envisions utilizing photovoltaic cells to achieve a zero-energy building. The proposed initiatives seek to optimize energy efficiency, save expenses, and foster environmental sustainability in the region. In this research, the total energy consumption of a building with residential use in the climate of the case study was validated by DesignBuilder® simulation software, and the results obtained from the software. Then, using the standard of energy consumption of the building, various strategies for optimizing energy consumption have been simulated. Using energy simulation software, solutions for using external horizontal awnings and installing a thermal insulation sheet on the external wall of the building were investigated, which resulted in a reduction of 200 kWh of energy consumption compared to the normal state. Then, the building’s energy consumption intensity was calculated for each of the proposed solutions, and the building’s energy classification was determined with energy star and LEED standards.

Athraa Ali Mahmood,1 Hussain Owaid Muhammed Al-Obadi,1 Hashim Mueen Hussein2 1Department of Oral Surgery and Periodontics, College of Dentistry, Mustansiriyah University, Baghdad, Iraq; 2Department of Conservative Dentistry, College of Dentistry, Mustansiriyah University, Baghdad, IraqCorrespondence: Athraa Ali Mahmood, Department of Oral Surgery and Periodontics, College of Dentistry, Mustansiriyah University, Baghdad, Iraq, Email athraa.a.mahmood@uomustansiriyah.edu.iq; athrauali@gmail.comBackground: Findings show that periodontitis does not affect all populations; similarly, some individuals present risk conditions such as occupational stress, making them more susceptible to developing periodontitis through unhealthy habits like poor oral hygiene and immune suppression. Periodontitis triggers an inflammatory host immune response; “Receptor Activator Nuclear Factor KB ligand (RANKL)” is the primary regulator of osteoclast differentiation and activity. It was found that osteoclastic bone damage caused by periodontitis depends on the RANKL produced by osteoblastic and periodontal ligament cells.Objective: This study aimed to assess the effect of occupational stress on employees with periodontitis using salivary RANKL marker.Material and Methods: A case–control analysis was done at my clinic with 90 male employees aged 30– 50. The participants completed self-administered questionnaires and had periodontal exams. Employee occupational stress was estimated using a life events scale questionnaire. Calibrated dentists performed the parameters used in the periodontal assessment after collecting whole unstimulated salivary samples from each employee to measure salivary RANKL using ELISA technique.Results: The present finding revealed a statistically significant difference among groups in “probing pocket depth, plaque index, bleeding on probing, clinical attachment level, and salivary RANKL level”. They were higher in the stressed employees’ group, which is not statistically significant.Conclusion: The findings of this investigation observed that occupational stress increased clinical periodontal parameters and salivary RANKL of periodontitis in employees.Keywords: periodontitis, occupational stress, salivary RANKL, employees

Abstract Background The SelectSecure™ 3830 lead is an innovative, lumenless, and thin active fixed lead with a nonretractable screw-in tip and a diameter of 4.1 Fr, making it the thinnest pacing lead available. Its high anti-extrusion properties and durability have shown favorable outcomes in cardiac pacing, especially in pediatric patients. The superfine design and easy implantation of the lead have rendered it a preferred choice in children, particularly in cases of congenital heart disease. Case presentation This case series presents two infant patients who underwent transvenous endocardial pacing using the SelectSecure™ 3830 lead, along with a comprehensive literature review on the topic. The study followed the patients for 5 years and 3 years, respectively, and observed stable pacing parameters, indicating a positive therapeutic outcome and safety. This article discusses the optimal age and body shape for transvenous lead implantation in infants and highlights the advantages and disadvantages of endocardial and epicardial pacing approaches. Although endocardial pacing offers several benefits such as minimal trauma, short hospital stay, and longer battery life, it may not be suitable for intracardiac shunts, and venous occlusion remains a concern. On the other hand, epicardial pacing may be considered for children with challenging endocardial access but comes with higher risk of lead failure and coronary artery compression. This study emphasizes the importance of careful follow-up in pediatric patients with pacing, as lead failure can occur in young patients owing to growth and development, leading to syncope and battery depletion. The article also underscores the significance of selecting the appropriate pacing location to minimize the impact of cardiac function, with right ventricular septal pacing emerging as a preferable option. Conclusions The SelectSecure™ 3830 lead presents a promising solution for transvenous endocardial pacing in pediatric patients with high degree atrioventricular block and bradycardia, ensuring safe and effective pacing as they grow and develop.

Seyedeh Azar Mousavifard1, Mozhgan Ardestani1, Fatemeh Zarei2, Mahmood Asgarianzadeh2 1 Lecturer, Department of Occupational Health Engineering, Faculty of Health, Alborz University of Medical Sciences, Karaj, Iran 2 BSc in Occupational Health, Faculty of Health, Alborz University of Medical Sciences, Karaj, Iran In the article published in volume 25, issue 132, 2015, the first author’s last name was incorrect. It should have been Seyedeh Azar Mousavifard, which is now corrected.

The world faces growing water scarcity and the need for efficient wastewater treatment. The application of advanced artificial intelligence (AI) techniques holds great promise in optimizing processes, enhancing predictive capabilities, and supporting informed decision-making in this critical domain. This study, which focuses on research trends and developments in the use of AI for wastewater treatment, provides a thorough bibliometric analysis of 368 documents from the Scopus database between 2015 and 2024. The analysis reveals a significant increase in research output, peaking at 93 publications in 2023. This suggests growing interest and focus in leveraging AI techniques to address wastewater management challenges. According to the data, the most important journals in this field are Chemosphere, Water Science and Technology, and the Journal of Environmental Management. Significant contributors to the study were China, India, and the US, with the University of Johannesburg emerging as the most influential institution. The main research direction in this field is properly indicated by the frequently used keywords ''artificial intelligence,'' ''wastewater treatment,'' and ''machine learning,'' according to the analysis of keywords indicating the technological approaches being explored. Adsorption, microalgae, and anaerobic digestion are common methods that are gaining popularity. The most frequently studied wastewater contaminants in recent years have included heavy metals and nutrients. The findings of this analysis provide valuable insights that can guide future research priorities, inform the development of effective AI-driven solutions, and contribute to more sustainable water management practices.

Abstract Due to the characteristics of electrospun nanofibers (NFs), they are considered a suitable substrate for the adsorption and removal of heavy metals. Electrospun nanofibers are prepared based on optimized polycaprolactone (PCL, 12 wt%) and polyacrylic acid (PAA, 1 wt%) polymers loaded with graphene oxide nanoparticles (GO NPs, 1 wt%). The morphological, molecular interactions, crystallinity, thermal, hydrophobicity, and biocompatibility properties of NFs are characterized by spectroscopy (scanning electron microscopy, Fourier transform infrared spectroscopy, X-ray diffraction, Thermogravimetric analysis), contact angle, and MTT tests. Finally, the adsorption efficacy of NFs to remove lead (Pb2+) from water and apple juice samples was determined using inductively coupled plasma optical emission spectroscopy (ICP-OES). The average diameter for PCL, PCL/PAA, and PCL/PAA/GO NFs was 137, 500, and 216 nm, respectively. Additionally, the contact angle for PCL, PCL/PAA, and PCL/PAA/GO NFs was obtained at 74.32º, 91.98º, and 94.59º, respectively. The cytotoxicity test has shown non-toxicity for fabricated NFs against the HUVEC endothelial cell line by more than 80% survival during 72 h. Under optimum conditions including pH (= 6), temperature (25 °C), Pb concentration (25 to 50 mg/L), and time (15 to 30 min), the adsorption efficiency was generally between 80 and 97%. The adsorption isotherm model of PCL/PAA/GO NFs in the adsorption of lead metal follows the Langmuir model, and the reaction kinetics follow the pseudo-second-order. PCL/PA/GO NFs have shown adsorption of over 80% in four consecutive cycles. The adsorption efficacy of NFs to remove Pb in apple juice has reached 76%. It is appropriate and useful to use these nanofibers as a high-efficiency adsorbent in water and food systems based on an analysis of their adsorption properties and how well they work.

Background: In recent years, the healthcare field has experienced significant advancements. New diagnostic techniques, treatments, and insights into the causes of various diseases have emerged. Despite these progressions, cancer remains a major concern. It is a widespread illness affecting individuals of all ages and leads to one out of every six deaths. Lung and colon cancer alone account for nearly two million fatalities. Though it is rare for lung and colon cancers to co-occur, the spread of cancer cells between these two areas—known as metastasis—is notably high. Early detection of cancer greatly increases survival rates. Currently, histopathological image (HI) diagnosis and appropriate treatment are key methods for reducing cancer mortality and enhancing survival rates. Digital image processing (DIP) and deep learning (DL) algorithms can be employed to analyze the HIs of five different types of lung and colon tissues. Methods: Therefore, this paper proposes a refined DL model that integrates feature fusion for the multi-classification of lung and colon cancers. The proposed model incorporates three DL architectures: ResNet-101V2, NASNetMobile, and EfficientNet-B0. Each model has limitations concerning variations in the shape and texture of input images. To address this, the proposed model utilizes a concatenate layer to merge the pre-trained individual feature vectors from ResNet-101V2, NASNetMobile, and EfficientNet-B0 into a single feature vector, which is then fine-tuned. As a result, the proposed DL model achieves high success in multi-classification by leveraging the strengths of all three models to enhance overall accuracy. This model aims to assist pathologists in the early detection of lung and colon cancer with reduced effort, time, and cost. The proposed DL model was evaluated using the LC25000 dataset, which contains colon and lung HIs. The dataset was pre-processed using resizing and normalization techniques. Results: The model was tested and compared with recent DL models, achieving impressive results: 99.8% for precision, 99.8% for recall, 99.8% for F1-score, 99.96% for specificity, and 99.94% for accuracy. Conclusions: Thus, the proposed DL model demonstrates exceptional performance across all classification categories.

Most classification models for Alzheimer's Diagnosis (AD) do not have specific strategies for individual input samples, leading to the problem of easily overlooking personalized differences between samples. This research introduces a customized dynamically ensemble convolution neural network (PDECNN), which is able to build a specific integration strategy based on the distinctiveness of the sample. In this paper, we propose a personalized dynamic ensemble alzheimer's Diagnosis classification model. This model will dynamically modify the deteriorated brain areas of interest depending on various samples since it can adjust to variations in the degeneration of sample brain areas. In clinical problems, the PDECNN model has additional diagnostic importance since it can identify sample-specific degraded brain areas based on input samples. This model considers the variability of brain region degeneration levels between input samples, evaluates the degree of degeneration of specific brain regions using an attention mechanism, and selects and integrates brain region features based on the degree of degeneration. Furthermore, by redesigning the classification accuracy performance, we respectively improve it by 4 %, 11 %, and 8 %. Moreover, the degraded brain regions identified by the model show high consistency with the clinical manifestations of AD.

Background: Cancer survival prediction is vital in improving patients’ prospects and recommending therapies. Understanding the molecular behavior of cancer can be enhanced through the integration of multi-omics data, including mRNA, miRNA, and DNA methylation data. In light of these multi-omics data, we proposed a graph attention network (GAT) model in this study to predict the survival of non-small cell lung cancer (NSCLC). Methods: The different omics data were obtained from The Cancer Genome Atlas (TCGA) and preprocessed and combined into a single dataset using the sample ID. We used the chi-square test to select the most significant features to be used in our model. We used the synthetic minority oversampling technique (SMOTE) to balance the dataset and the concordance index (C-index) to measure the performance of our model on different combinations of omics data. Results: Our model demonstrated superior performance, with the highest value of the C-index obtained when we used both mRNA and miRNA data. This demonstrates that the multi-omics approach could be effective in predicting survival. Further pathway analysis conducted with KEGG showed that our GAT model provided high weights to the features that are associated with the viral entry pathways, such as the Epstein–Barr virus and Influenza A pathways, which are involved in lung cancer development. From our findings, it can be observed that the proposed GAT model leads to a significantly improved prediction of survival by exploiting the strengths of multiple omics datasets and the findings from the enriched pathways. Our GAT model outperforms other state-of-the-art methods that are used for NSCLC prediction. Conclusions: In this study, we developed a new model for the survival prediction of NSCLC using the GAT based on multi-omics data. Our model showed outstanding predictive values, and the KEGG analysis of the selected significant features showed that they were implicated in pivotal biological processes underlying pathways such as Influenza A and the Epstein–Barr virus infection, which are linked to lung cancer progression.

Tricuspid regurgitation (TR) is the most common pathology for the tricuspid valve. Moderate to severe TR is associated with morbidity and adverse outcomes. The concept that TR resolves on its own if the underlying disease is successfully treated has proven to be false. Only a few patients with significant TR are deemed suitable for surgery. Given the late presentation of patients with high perioperative risks and substantial perioperative mortality, the development of transcatheter therapies and the experience gained with transcatheter aortic valve implantation operations have turned attention towards treating this challenging group of patients. In this article, we review the treatment options and highlight the role of transcatheter valve therapies in patients with severe TR.