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Abstract Accurate estimation of battery state of health is crucial for effective electric vehicle battery management. Here, we propose five health indicators that can be extracted online from real-world electric vehicle operation and develop a machine learning-based method to estimate the battery state of health. The proposed indicators provide physical insights into the energy and power fade of the battery and enable accurate capacity estimation even with partially missing data. Moreover, they can be computed for portions of the charging profile and real-world driving discharging conditions, facilitating real-time battery degradation estimation. The indicators are computed using experimental data from five cells aged under electric vehicle conditions, and a linear regression model is used to estimate the state of health. The results show that models trained with power autocorrelation and energy-based features achieve capacity estimation with maximum absolute percentage error within 1.5% to 2.5%.

Abstract Background Depression is the most common psychiatric disorder in older adults, even though it is commonly misdiagnosed and undertreated, leading to exacerbations of preexisting medical conditions and even a higher mortality rate. In the present systematic review with meta-analysis, we quantify the magnitude of depression and its associated risk factors among the older adult population in Egypt. Methods A thorough literature search was performed from 2010 up to October 2023. The results were presented as proportions or risk difference with a 95% confidence interval (CI) calculated using the random effects model. A sensitivity analysis was performed to examine the robustness of the results. Results Our study included 14 articles with 5857 older adults published between 2011 and 2023. All the included studies assessed depression in geriatrics using the Geriatric Depression Scale. Of the 14 studies, 5 were for community-dwelling older adults, 3 were for older adults attending primary health care (PHC) centers, 2 were for hospitalized older adults, 3 were for residing in geriatric homes, and one for residing in geriatric homes, hospitalized older adults, and community-dwelling older adults. The overall prevalence of depression among Egyptian geriatrics was 64.6%. The pooled prevalence of depression was 59.6%, 67.0%, 67.0%, and 62.0% for community-dwelling older adults, older adults people attending PHC, hospitalized older adults, and older adults residing in geriatric homes, respectively. Older adults with chronic illness, female sex, and low-income elders and elders who were not employed had a higher risk for depression with pooled risk differences of 34.9%, 17.8%, 23.8%, and 15.1% (P

Abstract Background Artificial intelligence (AI) is one of the sectors of medical research that is expanding the fastest right now in healthcare. AI has rapidly advanced in the field of medicine, helping to treat a variety of illnesses and reducing the number of diagnostic and follow-up errors. Objective This study aims to assess the perception and attitude towards artificial intelligence (AI) among medical students & house officers in Egypt. Methods An online cross-sectional study was done using a questionnaire on the Google Form website. The survey collected demographic data and explored participants’ perception, attitude & potential barriers towards AI. Results There are 1,346 responses from Egyptian medical students (25.8%) & house officers (74.2%). Most participants have inadequate perception (76.4%) about the importance and usage of AI in the medical field, while the majority (87.4%) have a negative attitude. Multivariate analysis revealed that age is the only independent predictor of AI perception (AOR = 1.07, 95% CI 1.01–1.13). However, perception level and gender are both independent predictors of attitude towards AI (AOR = 1.93, 95% CI 1.37–2.74 & AOR = 1.80, 95% CI 1.30–2.49, respectively). Conclusion The study found that medical students and house officers in Egypt have an overall negative attitude towards the integration of AI technologies in healthcare. Despite the potential benefits of AI-driven digital medicine, most respondents expressed concerns about the practical application of these technologies in the clinical setting. The current study highlights the need to address the concerns of medical students and house officers towards AI integration in Egypt. A multi-pronged approach, including education, targeted training, and addressing specific concerns, is necessary to facilitate the wider adoption of AI-enabled healthcare.

Abstract Background Sudanese children with End-Stage Kidney Disease (ESKD) often show limited improvement in hemoglobin levels despite treatment with recombinant human erythropoietin (rHuEPO). This study aims to assess the response to rHuEPO therapy by analyzing β-globin mRNA expression and reticulocyte parameters. Additionally, it classifies anemia among Sudanese pediatric patients based on iron status, considering age and gender as biological markers for evaluating treatment response. Methods A prospective observational cohort study was conducted from January 2019 to February 2020 in Khartoum, Sudan, involving 45 anemic children aged 2 to 15 years diagnosed with ESKD. The treatment protocol included rHuEPO injections and maintenance hemodialysis. Laboratory assessments consisted of complete blood count (CBC), absolute reticulocyte count, ferritin, and transferrin measurements. β-globin mRNA expression was quantified using reverse transcription polymerase chain reaction (RT-PCR), and reticulocyte parameters, including Reticulocyte Hemoglobin Content (CHr), percentage of hypochromic reticulocytes (HYPO%), and Immature Reticulocyte Fraction (IRF), were measured via flow cytometry. Results Significant variations in hemoglobin levels were observed across different age groups (p = 0.011). Gender analysis revealed a significant association with IRF, showing a lower IRF in male patients (p = 0.017). However, there were no significant differences in hemoglobin levels between genders (p = 0.999). β-globin mRNA expression showed considerable variability, with a strong positive correlation with hemoglobin levels (r = 0.875, p

Abstract Background Diabetic peripheral neuropathy (DPN) in children and adolescents with type 1 diabetes mellitus (T1DM) is a growing issue, with controversial data in the terms of prevalence and evaluation timelines. Currently, there are no clear standards for its early detection. Therefore, our aim was to assess the contribution of the Michigan neuropathy screening instrument (MNSI), lipid profile, serum neuron specific enolase (NSE), and serum heat shock protein 27 (HSP 27) to the prediction of DPN in children and adolescents with T1DM. Methods In this case-control study, fifty children diagnosed with T1DM for at least five years were enrolled and evaluated through complete neurological examination, MNSI, and nerve conduction study (NCS). Additionally, HbA1c, lipid profile, serum NSE, and serum HSP 27 levels were measured for patients and controls. Results The prevalence of DPN in our study was 24% by NCS, and electrophysiological changes showed a statistically significant lower conduction velocity for the posterior tibial and sural nerves, as well as a prolonged latency period for the common peroneal and sural nerves in neuropathic patients. In these patients, older age, earlier age of diabetes onset, longer disease duration, higher total cholesterol, triglycerides, low density lipoprotein cholesterol, HbA1c, serum NSE, and HSP27 levels were observed. The MNSI examination score ≥ 1.5 cutoff point had an area under the curve (AUC) of 0.955, with 75% sensitivity and 94.74% specificity, according to receiver operating characteristic curve analysis. However, the questionnaire’s cutoff point of ≥ 5 had an AUC of 0.720, 75% sensitivity, and 63% specificity, with improved overall instrument performance when combining both scores. Regarding blood biomarkers, serum NSE had greater sensitivity and specificity in discriminating neuropathic patients than HSP27 (92% and 74% versus 75% and 71%, respectively). Regression analysis revealed a substantial dependency for MNSI and serum NSE in predicting DPN in patients. Conclusions Despite limited research in pediatrics, MNSI and serum NSE are promising predictive tools for DPN in children and adolescents with T1DM, even when they are asymptomatic. Poor glycemic control and lipid profile changes may play a critical role in the development of DPN in these patients, despite conflicting results in various studies.

Abstract Background Non-alcoholic fatty liver disease (NAFLD) is characterized by hepatic fat accumulation (> 5% of liver tissue) in the absence of alcohol abuse or other chronic liver diseases. NAFLD can progress to non-alcoholic steatohepatitis (NASH), fibrosis, cirrhosis, and hepatocellular carcinoma (HCC). This study aimed to assess the efficacy of probiotic (lactobacillus) supplementation on NAFLD fibrosis score. Methodology A double-arm randomized controlled trial was conducted in the family medicine clinic of a tertiary hospital, enrolling patients with sonographic evidence of NAFLD. Fifty patients were divided into two groups: the Probiotic group received lifestyle modification instructions along with daily probiotic supplementation for twelve weeks, with regular monthly follow-up visits. The Standard Treatment group received low-fat diet and lifestyle modification instructions only. Results The mean age of participants was 46.10 years (SD 10.11), with 70% females and 30% males. The study found a statistically significant difference in liver enzymes (ALT and AST) and BMI in the probiotic group before and after intervention. However, there was no significant difference in NAFLD fibrosis score between the two groups. Conclusion Short-term probiotic treatment resulted in improvements in ALT, AST, and BMI in the probiotic group, but did not significantly affect NAFLD fibrosis score. Further research with larger sample sizes and longer follow-up periods is warranted. Trial registration The clinical trial was registered at Protocol Registration and Results System with number NCT06074094 (12/09/2021).

Abstract Water microbial contamination is a serious issue that poses a risk to both animal and human health. One hundred and twenty water were samples collected from main water source and drinkers from a poultry farm. Different bacterial pathogens were isolated from water sources. Escherichia (E.) coli, Pseudomonas (P.) aureoginosa, (Salmonella) Salmonella (s). Typhimurim, Aeromonas (A.) hydrophila at different percentages. Variable degree of bacterial resistance to some commercial disinfectants commonly used to disinfect water system (iodine, terminator and H2O2). Nanoparticles were used to control bacteria in water. About the safety investigation for the prepared nanomaterials, the work results demonstrated that zinc oxide (ZnO) nanoparticles (NPs) exhibit the highest safety profile among the manufactured materials. The median fatal dose (LD50) for ZnO NPs was determined to be 3709 mg/kg body weight. In comparison, the LD50 values for zeolites and nanocomposites were 3251 mg/kg and 2658 mg/kg, respectively. Therapeutic dosages were estimated based on the LD50. Zeolite NPs, ZnO NPs and ZnO/zeolite NPs showing promising results in control of those bacteria. It was concluded that the escalating resistance of bacteria to disinfectants have led to a need to find alternative such as nanoparticles that proved promising results in control of pathogens, particularly it showed a safe effect on laboratory animals.

Abstract The aim of this study is to evaluate the role of serum level of Interleukin 6(IL-6) and Interleukin 17 (IL-17) in liver transplantation outcome for living recipients, Analyze the relation between the gene polymorphism and the occurrence of rejection after liver transplantation and Study the relation between the gene polymorphism and the occurrence of different infectious complications. The study was conducted in March 2023 and included 60 healthy volunteers from the National Liver Institute (NLI) blood bank at Menoufia University and 120 live donation liver recipient patients at NLI. During one month of liver transplantation, the cytokine levels (IL-17, IL-6 proteins, IL-6 G-174C, and IL-17 A rs2275913 gene polymorphism) and CD4 levels for 60 patients of 120 live donation liver recipient patients whom early reject transplanted tissue and the same parameters were measured after 6 months follow up for non-reject group. The main finding of this study was that the post-transplant rejection group and the post-transplant non-rejection and control groups differed significantly in the genotype frequency (CC, CG, and GG) or alleles of IL-6 G-174C (p = 0.011). On the other hand IL-17A rs2275913 gene polymorphism and its alleles (p = 0.71) showed no statistically significant difference. We also observed that serum IL-17 levels, with 100% specificity and 100% sensitivity threshold, will be more sensitive and specific than serum IL-6 and CD4 count in differentiating post-transplant rejection from non-rejection patients. The results showed that there was no significant relationship between the genotypes and serum levels of interleukins and the type and degree of rejection. Proinflammatory cytokines might be useful indicators for distinguishing and early identifying unfavorable outcomes after transplantation, allowing for prompt and effective treatment intervention. To evaluate these findings, prospective clinical trials are required.

Abstract Background Colorectal cancer is the 3rd most common cancer worldwide, representing 10% of all cancer types, and is considered the 2nd leading cause of cancer-related deaths. It usually metastasizes to the liver or lung. Para-aortic lymph node metastasis is considered a metastatic disease (stage 4) according to the AJCC and is considered a regional disease (stage 3) according to the JSCCR. Para-aortic lymph node metastases occur in about 1% of cases. Neoadjuvant CTH, followed by PALN, is the best option for metastatic para-aortic LNs in colorectal cancer patients. This study addresses the value of prophylactic para-aortic LN dissection among colon-rectal cancer patients (overtreatment protocol). Methodology This is a prospective study that included patients attending NCI, Cairo University, from December 2020 to December 2023 who were complaining of left colonic cancer or recto-sigmoid cancer and underwent left hemicolectomy, sigmoid colectomy, or LAR. All patients underwent formal mesenteric LN dissection and prophylactic para-aortic LN dissection. Results Among 60 patients who underwent colorectal surgery with prophylactic para-aortic LN dissection, 21 cases (35%) were in the descending colon, 22 cases (36.7%) were in the sigmoid colon, 11 cases (18.3%) were in the recto-sigmoid, and 6 cases (10%) were in the upper rectum. 55 cases (91.7%) were in grade 2, and 5 cases (8.3%) were in grade 3. Neoadjuvant CTH was given in 3 cases (5%) while neoadjuvant RTH was given in 6 cases (10%). Regarding reported postoperative complications, lymphorrhea was reported in 2 patients (3.3%) and wound infection occurred in 6 patients (10%). A recurrence was reported among 8 cases (13.4%). Conclusions We aimed in this study to highlight the value of prophylactic para-aortic lymph node dissection among colorectal cancer patients (over-treatment protocol) and report its reflection on predicting the behavior of the disease and subsequently selecting the patients who will be suitable to do this procedure.

An electrocardiogram (ECG) is an essential medical tool for analyzing the functioning of the heart. An arrhythmia is a deviation in the shape of the ECG signal from the normal sinus rhythm. Long-term arrhythmias are the primary sources of cardiac disorders. Shockable arrhythmias, a type of life-threatening arrhythmia in cardiac patients, are characterized by disorganized or chaotic electrical activity in the heart’s lower chambers (ventricles), disrupting blood flow throughout the body. This condition may lead to sudden cardiac arrest in most patients. Therefore, detecting and classifying shockable arrhythmias is crucial for prompt defibrillation. In this work, various machine and deep learning algorithms from the literature are analyzed and summarized, which is helpful in automatic classification of shockable arrhythmias. Additionally, the advantages of these methods are compared with existing traditional unsupervised methods. The importance of digital signal processing techniques based on feature extraction, feature selection, and optimization is also discussed at various stages. Finally, available databases, the performance of automated algorithms, limitations, and the scope for future research are analyzed. This review encourages researchers’ interest in this challenging topic and provides a broad overview of its latest developments.

Abstract The bay scallop, Argopecten irradians, is a species of major commercial, cultural, and ecological importance. It is endemic to the eastern coast of the United States, but has also been introduced to China, where it supports a significant aquaculture industry. Here, we provide an annotated chromosome-level reference genome assembly for the bay scallop, assembled using PacBio and Hi-C data. The total genome size is 845.9 Mb, distributed over 1,503 scaffolds with a scaffold N50 of 44.3 Mb. The majority (92.9%) of the assembled genome is contained within the 16 largest scaffolds, corresponding to the 16 chromosomes confirmed by Hi-C analysis. The assembly also includes the complete mitochondrial genome. Approximately 36.2% of the genome consists of repetitive elements. The BUSCO analysis showed a completeness of 96.2%. We identified 33,772 protein-coding genes. This genome assembly will be a valuable resource for future research on evolutionary dynamics, adaptive mechanisms, and will support genome-assisted breeding, contributing to the conservation and management of this iconic species in the face of environmental and pathogenic challenges.

Food is the primary cause for diseases in humans and carries high risk pathogens. Assessment of the safety in foods is needed to validate the presence of pathogenic bacteria. We used colony PCR for this approach to detect foodborne pathogens such as Escherichia coli, Lactobacillus and Bacillus cereus. Suitable primers were selected based on specific gene 1040 for Escherichia coli, gene S2 for Lactobacillus, and gene NVF for Bacillus cereus. Agarose gel electrophoresis is used for the detection of amplified products against a suitable marker. ImageJ is used for DNA band analysis, enabling precise quantification, normalization, and statistical comparisons. These studies have established a promising role in the detection of pathogens in various environmental samples. The insights gained from this study may serve as the foundation for rapid detection of foodborne diseases in the food industry.

Abstract Background The hard clam (Mercenaria mercenaria), a marine bivalve distributed along the U.S. eastern seaboard, supports a significant shellfish industry. Overharvest in the 1970s and 1980s led to a reduction in landings. While the transition of industry from wild harvest to aquaculture since that time has enhanced production, it has also exacerbated challenges such as disease outbreaks. In this study, we developed and validated a 66K SNP array designed to advance genetic studies and improve breeding programs in the hard clam, focusing particularly on the development of markers that could be useful in understanding disease resistance and environmental adaptability. Results Whole-genome resequencing of 84 individual clam samples and 277 pooled clam libraries yielded over 305 million SNPs, which were filtered down to a set of 370,456 SNPs that were used as input for the design of a 66K SNP array. This medium-density array features 66,543 probes targeting coding and non-coding regions, including 70 mitochondrial SNPs, to capture the extensive genetic diversity within the species. The SNPs were distributed evenly throughout the clam genome, with an average interval of 25,641 bp between SNPs. The array incorporates markers for detecting the clam pathogen Mucochytrium quahogii (formerly QPX), enhancing its utility in disease management. Performance evaluation on 1,904 samples demonstrated a 72.7% pass rate with stringent quality control. Concordance testing affirmed the array's repeatability, with an average agreement of allele calls of 99.64% across multiple tissue types, highlighting its reliability. The tissue-specific analysis demonstrated that some tissue types yield better genotyping results than others. Importantly, the array, including its embedded mitochondrial markers, effectively elucidated complex genetic relationships across different clam groups, both wild populations and aquacultured stocks, showcasing its utility for detailed population genetics studies. Conclusions The 66K SNP array is a powerful and robust genotyping tool that offers unprecedented insights into the species’ genomic architecture and population dynamics and that can greatly facilitate hard clam selective breeding. It represents an important resource that has the potential to transform clam aquaculture, thereby promoting industry sustainability and ecological and economic resilience.

Background: Several studies examined the reciprocal relationship between knee osteoarthritis (KOA), depression, and postural balance separately; however, few studies have investigated the relationship between them. Therefore, this study aimed to identify the relationship between postural balance and depression among patients with KOA in Saudi Arabia. Methods and Results: A total of 71 patients with KOA were recruited (36 males, 35 females) with a mean age of 55.0±8.6 years, mean knee pain of 7.2±1.0, and mean Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) of 44.9±11.6. Depression was measured using the Hospital Anxiety and Depression Scale (HADS). The participants were asked to complete the HADS, rate their pain in both knees using the Visual Analogue Scale (VAS) and the WOMAC, and undergo the Berg Balance Scale (BBS) to assess the postural balance. A significantly strong negative correlation was observed between postural balance and anxiety and depression in all the participants (BBS and HADS: r= −0.920, P

Salma E El-Habashy, Ahmed N Allam, Amal H El-Kamel Department of Pharmaceutics, Faculty of Pharmacy, Alexandria University, Alexandria, Egypt Abstract: Nanoparticles (NPs) have long gained significant interest for their use in various drug formulations in order to increase bioavailability, prolong drug release, and decrease side effects of highly toxic drugs. The objective of this investigation was to evaluate the potential of ethyl cellulose-based NPs (EC-NPs) to modulate the release and reduce ulcerogenicity of piroxicam (PX) after oral administration. PX-loaded EC-NPs were prepared by solvent evaporation technique using different stabilizers at three concentration levels. Morphological examination of selected formulas confirmed the formation of spherical NPs with slightly porous surface. Formulation containing poloxamer-stabilized EC-NPs (P188/0.2), having a particle size of 240.26±29.24 nm, polydispersity index of 0.562±0.030, entrapment efficiency of 85.29%±1.57%, and modulated release of PX (88% after 12 hours), was selected as the optimum formulation. Differential scanning calorimetry demonstrated the presence of PX in an amorphous form in the NPs. Fourier-transform infrared spectroscopy revealed the possible formation of hydrogen bond and the absence of chemical interaction. In vivo study, evaluation of pharmacokinetic parameters, evaluation of gastric irritation potential, and histological examination were conducted after administration of the selected formulation. Time to reach maximum plasma concentration, tmax, of poloxamer-stabilized EC-NPs was significantly higher than that of Feldene® 20 mg capsules (P≤0.001). Encapsulation of the acidic, gastric offender PX into NPs managed to significantly suppress gastric ulceration potential in rats (P≤0.05) as compared to that of PX suspension. A reduction of 66% in mean ulcer index was observed. In conclusion, poloxamer-stabilized EC-NPs (P188/0.2) had a significant potential of offsetting deleterious side effects common in PX use. Keywords: polymeric nanoparticles, poloxamer, NSAIDs, pharmacokinetics, gastric irritation

The fiducial cosmological analyses of imaging surveys like DES typically probe the Universe at redshifts z < 1. We present the selection and characterization of high-redshift galaxy samples using DES Year 3 data, and the analysis of their galaxy clustering measurements. In particular, we use galaxies that are fainter than those used in the previous DES Year 3 analyses and a Bayesian redshift scheme to define three tomographic bins with mean redshifts around z ∼0.9, 1.2, and 1.5, which extend the redshift coverage of the fiducial DES Year 3 analysis. These samples contain a total of about 9 million galaxies, and their galaxy density is more than 2 times higher than those in the DES Year 3 fiducial case. We characterize the redshift uncertainties of the samples, including the usage of various spectroscopic and high-quality redshift samples, and we develop a machine-learning method to correct for correlations between galaxy density and survey observing conditions. The analysis of galaxy clustering measurements, with a total signal to noise S/N ∼70 after scale cuts, yields robust cosmological constraints on a combination of the fraction of matter in the Universe