Search Results (235)

This paper introduces a digital adaptive control framework for large-scale multivariable systems, integrating matrix linear Diophantine equations with block pole placement. The main innovation lies in adaptively relocating the full eigenstructure using matrix polynomial representations and a recursive identification algorithm for real-time parameter estimation. The proposed method achieves accurate eigenvalue placement, strong disturbance rejection, and fast regulation under model uncertainty. Its effectiveness is demonstrated through simulations on a large-scale winding process, showing precise tracking, low steady-state error, and robust decoupling. Compared with traditional non-adaptive designs, the approach ensures superior performance against parameter variations and noise, highlighting its potential for high-performance industrial applications. Full article

Carbapenem-resistant Acinetobacter baumannii (CRAB) bacteremia is a critical health concern associated with high morbidity and mortality and limited treatment options. Whether early initiation of concordant antibiotic therapy upon recognition of sepsis improves outcomes remains unclear. Methods: We conducted a retrospective cohort study of 413 patients diagnosed with CRAB bacteremia to evaluate the impact of early concordant antibiotic treatment (i.e., administration of in vitro active antibiotics within 24 h of blood culture collection) on 30-day mortality. Multivariable logistic regression was conducted to identify predictors of early concordant treatment and to evaluate its association with 30-day mortality. To address potential confounding by early death, a sensitivity analysis was performed which included only patients who survived at least 48 h after blood culture collection. Results: Among the study cohort, 30% (122/413) received early concordant treatment (all received colistin), while 70% (291/413) received early discordant treatment. The median age of patients receiving early concordant treatment was 69 (interquartile range (IQR), 62–78) years vs. 71 (IQR, 62–81) years in the discordant group (p = 0.1). Patients who received early concordant treatment were more likely to be mechanically ventilated (52% vs. 40%, p = 0.03) and have rectal carriage of multidrug-resistant bacteria (16% vs. 9%, p = 0.06). The 30-day mortality was 63% (260/413). In univariate analysis, survivors were more likely to have received early concordant treatment (38% vs. 25%, p = 0.005); however, this association was not statistically significant in the multivariable model (adjusted odds ratio [aOR] 0.36, 95% confidence interval [CI] 0.13–1.02, p = 0.053). Significant factors associated with 30-day mortality included age ≥65 years (aOR 4; 95% CI 1.1–17, p = 0.04) and SOFA score ≥5 points (aOR 7.14; 95% CI 2–25, p < 0.01). In the sensitivity analysis limited to patients who survived at least 48 h after blood culture collection, early concordant treatment remained unassociated with 30-day mortality (aOR 1.8; 95% CI 0.5–7, p = 0.4). Conclusions: Early concordant antibiotic treatment was not significantly associated with 30-day mortality in patients with CRAB bacteremia. Older age and SOFA score were significant predictors of mortality. Whether this finding reflects the limited efficacy of colistin, which was the predominant empiric antibiotic in this cohort, remains unclear; nevertheless, more effective therapeutic options for CRAB bacteremia are urgently needed to improve patient outcomes. Full article

This paper establishes a new characterization of symmetric q-Dunkl-classical orthogonal polynomials through a second structure relation. These symmetric polynomials generalize the $q^2$-analogues of Hermite and Gegenbauer polynomials. Our main result provides a finite expansion of each polynomial in terms of its q-Dunkl derivatives, offering a new effective classification method. We derive explicit structure relations for the $q^2$-analogue of generalized Hermite and the $q^2$-analogue of generalized Gegenbauer polynomials. Full article

Background/Objectives: Multimorbidity, where patients have ≥2 comorbidities, is recognized as a major challenge for health systems worldwide, driving up morbidity and cost. The differences in multimorbidity burden between those with and without type-2 diabetes mellitus (T2DM) in the Veteran population are not well studied. This large retrospective cohort study fills the existing gap. Methods: Using a retrospective cohort of adult Veterans with and without T2DM, we examined 29 comorbidities defined by Elixhauser criteria for 10,499,394 Veterans from 1 January 2008 to 31 December 2009. We then ascertained diabetes status for 10 years of follow-up from 1 January 2010 to 31 December 2019. Multimorbidity status was categorized using the Elixhauser comorbidity index (0, 1, ≥2) and logistic regression was used to estimate the odds ratio (OR) for its association with risk of diabetes, adjusting for covariates. Results: Compared to those with zero comorbidities, the odds of having diabetes were more than doubled (2.53, CI: 2.51–2.54) for those with ≥2 comorbidities. Conclusions: The doubling of the odds of T2DM among those with more than one comorbidity is typical of Veterans with T2DM. In addition, the odds were significantly higher for Hispanics compared to other groups when adjusting for covariates. This calls for more attention to reduce the risk of T2DM through improved management and effective use of treatments informed by disparities that exist in the VHA. Full article

Previous work has shown that mouse models fed a non-obesogenic high-fat diet have preserved cardiac function and no obesity-associated comorbidities such as diabetes. However, they do suffer increased cardiac vulnerability to ischemic reperfusion (I/R) injury, which has been attributed to changes in Ca²⁺ handling, oxidative stress, and mitochondrial transition pore activity. However, there have been no studies investigating the involvement of metabolites. Wild-type mice were fed either a control or a non-obesogenic high-fat diet for ~26 weeks. Key cardiac metabolites were extracted from freshly excised hearts and from hearts exposed to 30 min global ischemia followed by 45 min reperfusion. The extracted metabolites were measured using commercially available kits and HPLC. Hemodynamic cardiac function was monitored in Langendorff perfused hearts. Levels of energy-rich phosphates and related metabolites were similar for both hearts fed a control or a high-fat diet. However, the high-fat diet decreased cardiac glycogen and increased cardiac lactate, hypoxanthine, alanine, and taurine levels. Langendorff perfused hearts from the high-fat diet group suffered more ischemic stress during ischemia, as shown by the significantly shorter time needed for onset and for reaching maximal ischemic (rigor) contracture. Following I/R, there was a significant decrease in myocardial adenine nucleotides and a significant increase in the levels of alanine and purines for both groups. Most of the principal amino acids tended to fall during I/R. Hearts from mice fed a high-fat diet showed more changes during I/R in markers of energetics (phosphorylation potential and energy charge), metabolic stress (lactate), and osmotic stress (taurine). This study suggests that cardiac metabolic changes due to high-fat diet feeding, independent of obesity-related comorbidities, are responsible for the marked metabolic changes and the increased vulnerability to I/R. Full article

Studying the morphological changes in dendrites and dendritic spines during the early postnatal period is essential for unraveling the development of neural circuits and synaptic connectivity. Structural alterations in the dendritic arborization and spine morphology of medium spiny neurons (MSNs) have been closely linked to various neurodevelopmental disorders (NDDs). While Golgi-Cox staining remains a powerful technique for visualizing individual neurons, existing protocols are predominantly optimized for adult rodent brains only. This has limited our insight into MSNs development during the early postnatal stages, largely due to difficulties in maintaining tissue integrity during processing and the absence of standardized methods specific to neonatal brains. In this study, we present a reliable, cost-effective, and easily reproducible Golgi-Cox staining protocol suitable for use in standard histology laboratories. This protocol is specifically adapted for neonatal and early postnatal mouse brain tissue but is also applicable to adult brains. It enables consistent and detailed analysis of dendritic and spine morphology across developmental time points and provides a valuable tool for investigating the disrupted neuronal maturation observed in the mouse models of NDDs. Full article

(1) Background: The COVID-19 pandemic presented unprecedented challenges for people with multiple sclerosis (PwMS) in Oman, necessitating targeted healthcare planning and patient support. This study aimed to investigate the impact of COVID-19 on MS management and disease course, incidence, and outcomes of COVID-19, psychosocial and mental health effects of the pandemic, and demographic and clinical predictors of the effects related to COVID-19 among Omani PwMS. (2) Methods: This cross-sectional study was conducted from January to April 2021. Adult (18–60 years) Omani PwMS completed a structured interview along with the Expanded Disability Status Scale (EDSS) and World Health Organization Well-being Index (WHO-5). Clinical data on relapses and disease-modifying therapies and adherence were analyzed. The data was statistically analyzed. (3) Results: Of 104 PwMS (73.1% female), 22.1% contracted COVID-19, with fatigue being the most reported symptom (87%). Female sex (p = 0.042), younger age (18–34 vs. 35–45 years; p = 0.014), diagnosis of COVID-19 (p = 0.037), and low current mental well-being scores (p = 0.021) predicted greater COVID-19-related effects. (4) Conclusion: These findings highlight the need to study the mental resilience of this subgroup of PwMS and provide them with targeted support during crises. Full article

Background: Studies have demonstrated a positive correlation between high body mass index (BMI) and an increased risk of Clostridioides difficile infection (CDI), independent of antibiotic usage or healthcare exposures. Aim: To compare the outcomes of obese (BMI ≥ 30 kg/m²) and non-obese (BMI < 30 kg/m²) hospitalized patients with CDI. Methods: This retrospective cohort study included patients with CDI hospitalized in Beilinson hospital between January 2013 and January 2020. The primary outcome was 90-day all-cause mortality. Secondary outcomes included 30-day mortality, colectomy, intensive care unit (ICU) admission and length of hospital stay (LOS). Multivariate analysis was performed to identify the risk factors independently associated with 90-day mortality. Results: The study included 889 patients: 131 (15%) obese and 758 (85%) non-obese. The obese group was younger (median age 65 years vs. 73 years (p < 0.01)) and with a higher rate of diabetes mellitus (57/131 (44%) vs. 180/758 (24%) (p < 0.01)). The 90-day mortality was lower in the obese group: 19/131 (15%) vs. 170/752 (23%) (p = 0.04). The 30-day mortality was 8/131 (6%) vs. 96/757 (13%) (p = 0.03). ICU admission was 9/131 (7%) vs. 23/758 (3%) (p = 0.03), and median LOS was 19 vs. 12 days (p < 0.01) in obese and non-obese groups, respectively. In the multivariable analysis, after adjustment for age, Charlson’s comorbidity index ≥3, assistance in activities of daily living, treatment with proton pump inhibitors and severity of illness, obesity was not a significant risk factor for 90-day mortality (OR = 0.65, 95% CI: 0.38–1.01; p = 0.1). Conclusions: In this study, obesity was not significantly associated with 90-day mortality after adjustment for other risk factors; however, ICU admission was higher and LOS longer in this group. Full article

Background/Objectives: Infertility, defined as the failure to achieve pregnancy after one year of regular unprotected intercourse, represents a significant global health challenge, with male factors contributing to approximately 50% of cases. In this epidemiological context, both primary male infertility (the inability to conceive a first child) and secondary male infertility (which occurs when a man who has already fathered a child faces difficulty conceiving again) remain poorly understood at the genetic level. This study explored the role of single-nucleotide polymorphisms (SNPs) in mitochondrial genes (MT-ND3, MT-ND4L, and MT-ND4) in primary and secondary male infertility. Methods: This study analyzed the genotype distributions of SNPs in 68 infertile males (49 with primary infertility and 19 with secondary infertility) using Sanger sequencing. Results: Key findings revealed that studied SNPs were significantly associated with infertility type. Specifically, rs2857285 (T>C,G) in the ND4 gene showed a significant correlation (p = 0.023) with the TT genotype, which is prominent in primary infertility. Another SNP, rs28358279 (T>A,C) in the ND4L gene, also demonstrated a significant correlation (p = 0.046) with the TT genotype, being more common in primary infertility. In addition, rs869096886 (A>G) in the ND4 gene had a borderline correlation (p = 0.051), indicating a possible association between this SNP and reproductive duration. Conclusions: This study emphasizes the potential relevance of mitochondrial malfunction in male infertility, specifically the effects of studied SNPs on sperm survival and function over time. These findings suggest that certain mitochondrial SNPs might be potential biomarkers for infertility risk. Larger studies are needed to confirm these associations and examine the functional effects of these SNPs. Combining genetic analysis with environmental and lifestyle factors could enhance our understanding of male infertility and improve diagnostic and therapeutic strategies. Full article

Background: While efforts have been made to control meningococcal disease or carriage during mass gatherings (MGs), it is still a significant problem. This meta-analysis aims to assess the prevalence and predictors of meningitis carriage during MGs and travel. Methodology: PubMed, Scopus, Embase, and Cochrane were searched from their conception to January 2025. Cohort and cross-sectional studies assessing the prevalence of meningitis carriage and its serotype related to MGs and/or travel, and risk factors associated with its spread, were considered. The Newcastle–Ottawa scale was used for the quality assessment of studies. Results: Out of 1301 studies, 25 were considered for this meta-analysis. The largest geographic area involved was Saudi Arabia. A meta-analysis of 24 studies identified a pooled prevalence rate of meningococcal disease or carriage of 15.9% (95%CI: 4.45–27.4%) and the most frequent infecting organisms to be Serotype C (13.9%; 95%CI: −14.7 to 42.5; 4 studies) and A (11.5%; 95%CI: −2.13 to 25.2; 9 studies) among those at MGs or traveling. Age, gender, smoking history, and the vaccination status did not affect the infection risk. Conclusions: There is an increased prevalence of meningococcal disease and carriage, especially Serogroups A and C, associated with MGs and travel. New interventions and methodologies should be undertaken to control and prevent meningococcal disease or carriage transmission during such events. Full article

Cement production significantly contributes to CO₂ emissions (8% of worldwide CO₂ emissions) and global warming, accelerating climate change and increasing air pollution, which harms ecosystems and human health. To this end, this research investigates the fresh and hardened properties of sustainable concrete fabricated with three different replacement percentages (0%, 5%, and 10% by weight) of ordinary Portland cement (OPC) using rice husk ash (RHA). The hardened properties were evaluated at 14, 28, 60, 90, and 120 days of water curing. In addition, data-based models were developed, validated, and optimised, and the models were compared with experimental results and validated with the literature findings. The outcomes reveal that the slump values increased (17% higher) with the increased content of RHA, which aligns with the lower temperatures (12% lower) of freshly mixed concrete with RHA than the control mix (100% OPC). The slopes of the stress–strain profiles decreased at early ages and improved at longer curing ages (more than 28 days), especially for mixes with 5% RHA. The compressive strength decreased slightly (18% at 28 days) with increased percentages of RHA, which was minimised with increased curing ages (8% at 90 days). The data-based model accurately predicted the stress–strain profiles (coefficient of determination, $R^2$ ≈ 0.9950–0.9993) and compressive strength at each curing age, including crack progression (i.e., highly nonlinear region) and validates its effectiveness. In contrast, the optimisation model shows excellent results, mirroring the experimental data throughout the profile. These outcomes indicate that the 10% RHA could potentially replace OPC due to its lower reduction in strength (8% at 90 days), which in turn lowers CO₂ emissions and promotes sustainability. Full article

During cancer initiation, normal cells acquire mutations disrupting standard cellular processes, activating oncogenes and inactivating tumor suppressor genes, acquiring the well-described hallmarks of cancer on the path to malignancy. This process is influenced by a combination of physiological and metabolic pathways, as well as environmental cues, and leads to abnormal cell cycle, increased cell motility, and invasive characteristics. Cancer cell organelles also present some distinct differences from those of normal cells. Cancer progression requires certain tumorigenic biochemical pathways to be activated. However, mechanical cues are also important, as they have an effect on cell differentiation and fate. A continuous biochemical–biomechanical interaction exists, which affects the mechanical properties of the cells, as well as their behavior. This review aims to focus on the mathematical relationships governing cancer mechanobiology and examine how the altered mechanical properties of a cancer cell may affect malignant progression. Full article

Background: Tendinopathy is a challenging condition associated with high treatment costs, prolonged dysfunction, and lower quality of life. Current treatment strategies aim to accelerate healing by modulating the healing phases. Phototherapy and growth factor-based modalities have shown promising outcomes in promoting tendon healing. A two-factor experimental design investigates the therapeutic efficacy of conditioning a partially tenotomized rat Achilles tendon model with low concentrations of collagenase, followed by platelet-rich plasma and/or light-emitting diode treatments. Methods: Forty-six adult male Wistar rats (284.8g ± 6.8) were randomly assigned to nine groups (G1 (n = 6), G2–G9; n = 5 per group) based on the treatment applied upon a partially incised rat’s hind-limb Achilles tendon model for three weeks. On day 21, blood samples were collected for hematological and biochemical analyses and tendon explants were harvested and subjected to histology. Results: Observational findings support the safety and validity of the model with insignificant weight gain. Hematological measures revealed no significant differences, except WBC, which was affected by phototherapy (p = 0.037). Blood biochemical measures of creatinine and AST levels were significantly affected by collagenase, while both treatments significantly influence CPK levels (p < 0.001). Histological scores revealed no significant main or interaction effect of both treatment modalities. Effect size estimates for biochemical variables were strong effects while hematological and histological variables demonstrated weak effects. Conclusions: Preconditioning a partially incised tendon with low collagenase and combined with PRP and/or LED therapy may offer therapeutic benefits by enhancing the remodeling phase of tendon repair. Study results validated the rat model, which could be a reliable model for future research to refine treatment as well as the investigational tools protocols. Full article

A comparison between the function of Islam in the lives of Al-Hajj Umar Taal and El-Hajj Malik El-Shabazz (Malcolm X) suggests that Shabazz’s example of translating his Islamic obligations into the secular philosophy of Pan-Africanism reflects more promise toward the interest of interreligious Pan-African unity. During the nineteenth century, figures like Edward Blyden and Duse Muhammad Ali both presented the compatibility of Islam with Pan-Africanism. However, the practical examples of the steps needed to obtain interreligious unity require continued exploration. The author begins with an examination of the question of jihad and the “religious other” in Islam as understood by some. Secondly, the author focuses on Umar Taal to explore the way his understanding of Islam affected his relationship with both Muslim and non-Muslim Africans he encountered in nineteenth-century West Africa. Subsequently, the author analyzes how Malik El-Shabazz understood Islam to relate to the quest for Pan-Africanism. Using concepts from the critical theory of religion, the author will argue that Shabazz’s determinate negation of elements of his religious commitments that might hinder unity among people of African descent is instructive for the construction of an interreligious Pan-African unity. Full article

This open-source-based article presents an automated method for identifying and tracing popular Salafi discussions online. The novelty of this method lies in its inter-disciplinary approach developed through collaboration among experts in the fields of the Middle East, Islamic studies, and computer science. The computerized model presented here harnesses machine learning techniques to accurately identify popular Salafi writings on social media and to distinguish them from the writings of Muslims from other denominations. Creating an AI-supported model to distinguish between writings on social media that pertain to two different Islamic denominations is a highly difficult task. Based on this machine learning model and the methodology that it implements, the study presented here identifies United Kingdom-based Twitter accounts that embody Salafi thinking (even if they do not utilize terminology that is manifestly Salafi) and, based on that identification, analyzes and characterizes the United Kingdom-based Salafi community on Twitter. Unlike other machine learning ideology-related studies that are focused on Salafi-jihadism, the present research is focused on quietist Salafism (Salafi-taqlidis) in the United Kingdom. The purpose of this study is to examine the virtual Salafi community in the United Kingdom, with a focus on identifying the key issues of concern to its members and assessing the influence of global Salafi trends within this UK-based community. Full article