Search Results (16,889)

To dissect the molecular mechanisms underlying chicken cecal development, this study used Liangshan Yanying chickens (a local slow-growing breed) and Arbor Acres (AA) chickens (a fast-growing breed) as experimental models. Cecal tissues were collected from healthy chickens at 1, 14, and 28 days of age (n = 10 per breed per day of age) to measure cecal length and perform transcriptome sequencing. Through the screening of differentially expressed genes (DEGs), functional enrichment analysis, construction of protein–protein interaction (PPI) networks, and qRT-PCR validation, temporal changes in cecal development between the two breeds were systematically compared. Results showed that cecal length of both breeds increased significantly with age (p < 0.05), with significant differences between breeds. A total of 18 high-quality samples were obtained from transcriptome analysis (Q30 ≥ 93%), with a mapping efficiency of 86.2–90.5%. The number of DEGs was highest between 1 and 28 days of age (1844 DEGs in Liangshan Yanying chickens and 1747 DEGs in AA chickens), and the number of inter-breed DEGs reached 2133 at 28 days of age. A total of 70 DEGs with consistent expression trends were identified (22 upregulated and 48 downregulated), which were enriched in Gene Ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways such as “B cell activation”, “peptide transport”, and “bile acid metabolism”. qRT-PCR validation indicated that the expression trends of genes (e.g., CD79B, IRF4) were highly consistent with sequencing results (R² = 0.91). PPI network analysis suggested that SLC15A1, ACE, and ENPEP were key hub genes, forming a “transport–metabolism” synergistic module. This study reveals the temporal dynamics of chicken cecal development and the molecular basis of inter-breed differences, providing a theoretical foundation for broiler genetic improvement. Full article

Sepsis is frequently accompanied by myocardial dysfunction, which significantly worsens clinical outcomes. Lipopolysaccharide (LPS), a key component of Gram-negative bacteria, induces excessive oxidative stress and apoptosis in cardiomyocytes, contributing to sepsis-associated cardiac injury. Plasma-derived extracellular vesicles (EVs) have emerged as important mediators of intercellular communication and cardiovascular protection; however, their role in LPS-induced cardiomyocyte injury remains unclear. In this study, human AC16 cardiomyocytes were exposed to LPS in the presence or absence of plasma-derived EVs. Intracellular reactive oxygen species (ROS) production and apoptosis were assessed by flow cytometry, while apoptosis-related proteins and NF-κB signaling components were analyzed by Western blotting. The involvement of NF-κB signaling was further examined using pharmacological rescue experiments. Our results demonstrate that EV treatment markedly attenuated LPS-induced ROS accumulation and cardiomyocyte apoptosis. These protective effects were associated with reduced phosphorylation of NF-κB p65 and IκBα, as well as inhibition of p65 nuclear translocation. Notably, activation of NF-κB signaling abolished the anti-apoptotic and antioxidative effects of EVs under LPS challenge. Collectively, these findings suggest that plasma-derived EVs mitigate LPS-induced oxidative stress and apoptosis in human cardiomyocytes, potentially through modulation of NF-κB signaling. This study provides molecular insights into the cardioprotective actions of EVs and supports their potential as therapeutic candidates for sepsis-associated cardiovascular dysfunction. Full article

Working memory capacity (WMC) has long served as a central indicator of individual differences in complex cognition. However, growing evidence suggests that a substantial portion of its predictive power may reflect attention control (AC)—including goal maintenance, interference management, and inhibition—rather than storage capacity alone. This review synthesizes findings across six domains: (1) perception and sensory discrimination, (2) learning and problem solving, (3) cognitive control and decision making, (4) retrieval and memory performance, (5) multitasking and real-world performance, and (6) clinical applications. Across these areas, WMC-related effects frequently align with demands on AC, though the strength and nature of this alignment vary by domain. We highlight the importance of incorporating reliable AC measures and recommend latent-variable approaches to more clearly separate storage, control, and representational processes underlying complex performance. Full article

This study presents an integrated experimental simulation and multi-objective optimization methodology that maximizes energy production and optimizes economic performance in the design of wind power plants (WPPs). The relationship between five fundamental design parameters (wind speed (XWS), hub height (XHH), rotor diameter (XRD), turbine spacing (XTS), and row spacing (XRS)) and five techno-economic outputs (annual AC energy (YAEP), net present value (YNPV), levelized cost of energy (YLCOE), net cost of capital (YNCCpw), and total BOS cost (YTBC)) is systematically investigated using a Multi-Level Full Factorial Experimental Design (DoE) for four different US regions (Southern Wyoming, Southern California, Northeastern West Virginia, and South Florida). The optimization was performed by applying a multi-objective desirability function to regression models derived from 1200 NREL SAM simulation data points, thereby simultaneously evaluating five design parameters across five techno-economic responses. ANOVA results revealed that 77.5% of the variability in annual energy production was due to wind speed and 21.4% to rotor diameter, clearly demonstrating the decisive role of resource quality in project feasibility. Optimization identified the optimal configuration (XRS = 5, XTS = 3, XWS = 10.157 m/s, XHH = 120 m, XRD = 70 m) that provided a balanced trade-off between conflicting objectives, achieving 575.16 GWh of YAEP, $42.02 million of YNPV, $43.66 million of YTBC, 2.368 cents/kWh of YLCOE, and $1.508/W of YNCCpw. The study emphasizes that resource evaluation precedes technological optimization in the planning phase of wind energy projects, demonstrating that integrating DoE, simulation, and multi-objective optimization provides a strong framework for achieving realistic, feasible, and economically sustainable WPPs. The novelty of this approach lies in its ability to simultaneously account for environmental stochasticity and economic feasibility, providing a robust computational roadmap for stakeholders to maximize energy efficiency while minimizing levelized costs. Full article

Background/Objectives: Diabetes is major metabolic disorder and rapidly increasing public health problem globally. The greatest way to reduce diabetic complications is adequate knowledge about the condition. Hence, the primary objectives of this study were to evaluate the psychometric properties of the Simplified Diabetes Knowledge Test—Arabic version (SDKT-A) among Iraqi insulin-dependent diabetic patients. Additionally, the secondary objectives were to assess the associated independent variables and the risk of atherosclerosis and cardiovascular risk event by using atherogenic indices and lipid ratios with the SDKT-A. Methods: A cross-sectional, descriptive study was conducted in primary healthcare clinics. The SDKT was translated into Arabic using forward–backward translation, reconciliation, and pilot testing. Thereafter, psychometric properties of the SDKT-A were evaluated depending on different criteria. Atherogenic indices of Castelli risk indices I and II (CRI-I and II), triglyceride/HDL ratio, non-HDL-C ratio, atherogenic coefficient (AC), and triglyceride–total cholesterol–body weight index (TCBI) were calculated using specific formulas. Results: The SDKT-A questionnaire showed acceptable readability and validity. Cronbach’s alpha test (95% confidence interval) was 0.662 (0.59–0.73). The Pearson correlation coefficient of reliability for test–retest was found to be 0.659. The item difficulty index for most items was between 0.237 and 0.877. The point biserial correlation values ranged from 0.028 to 0.535 with Ferguson’s sigma value equal to 0.962. The content validation results showed a significant content validity ratio (CVR) value for most of the questions, ranging from 0.8 to 1. The content validity index (CVI) value for SDKT-A was found to be 0.98, which showed good agreement between experts. In addition, the exploratory factor analysis with promax rotation identified four domains for the final 20 items of the SDKT-A that explained 41.83% of the scale total variance. The mean score of the SDKT-A was 11.09 ± 3.40. The total score of the SDKT-A was positively and significantly correlated with education level (r = 0.322, p < 0.01). In addition, the total scores of the SDKT-A were negatively and significantly correlated with glycemic control, age, CRI-I, CRI-II, triglyceride/HDL ratio, AC, non-HDL-C ratio, and TCBI. Furthermore, the glycemic control (HbA1c) was positively and significantly correlated with the preventive measures factor (r = 0.175, p < 0.05), and were negatively and significantly correlated with the lifestyle and modification factor (r = −0.169, p < 0.05), diet and monitoring factor (r = −0.158, p < 0.05), and awareness factor (r = −0.149, p < 0.05). Conclusions: This study showed acceptable psychometric properties for the SDKT-A, with low levels of knowledge of diabetic disease in the sample population. Finally, comprehensive and interactive educational programs regarding lifestyle and modification, diet, and monitoring and awareness in primary healthcare centers in Iraq are warranted. Full article

Terpyridines are well-known ligands in coordination chemistry, are valued for their conformational flexibility and strong metal-binding properties, and are also of interest as fluorophores. This study focused on the synthesis and comprehensive investigation of a new class of bis-oxazolo[5,4-b]pyridine derivatives, designed based on their structural similarity to terpyridines. Four novel compounds, 4a–d, were synthesized by cyclization of amide derivatives of 3-aminopyridin-2(1H)-ones using pyridine-2,6-dicarboxylic acid and its dichloride as key acidic components. Their structures and purity were confirmed by melting point analysis, high-resolution mass spectrometry, and ¹H, ¹³C NMR spectroscopy. Compounds 4a–c exhibit UV absorption at 323–357 nm and intense blue to deep-blue fluorescence (357–474 nm, цi ≈ 0.32–0.84) in chloroform, dichloromethane, and acetonitrile, attributed to p–p* transitions within the conjugated ring system. These findings suggest their potential as phosphors for organic electronics. Computational modeling of 4a–c molecules provided insight into their electronic structures, conformational stability, and predicted optical behavior. The most stable conformers (4a–II, 4b–II, 4c–II′) exhibited a progressive decrease in the HOMO–LUMO gap from 4a to 4c, correlated with the enhancement of photoactivity. Among them, compound 4a stands out as the most promising luminophore, displaying the most intense and narrow luminescence band, owing to its high molecular symmetry and stable emission characteristics. Overall, this study lays the foundation for future studies of bis(oxazolo[5,4-b]pyridine) derivatives in coordination chemistry and optoelectronic materials development. Full article

The increasing integration of hybrid AC/DC networks in modern power systems introduces new challenges in fault detection and grounding scheme design, necessitating advanced techniques for stable and reliable operation. This paper investigates fault detection and grounding schemes in hybrid AC/DC networks using a machine learning (ML) approach to enhance accuracy, speed, and adaptability. Traditional methods often struggle with the dynamic and complex nature of hybrid systems, leading to delayed or incorrect fault identification. To address this, we propose a data-driven ML framework that leverages features such as voltage, current, and frequency characteristics for real-time detection and classification of faults. Additionally, the effectiveness of various grounding schemes is analyzed under different fault conditions to ensure system stability and safety. Simulation results on a hybrid AC/DC test network demonstrate the superior performance of the proposed ML-based fault detection method compared to conventional techniques, achieving high precision, recall, and robustness against noise and varying operating conditions. The findings highlight the potential of ML in improving fault management and grounding strategy optimization for future hybrid power grids. Full article

Escherichia coli is a major pathogen responsible for urinary tract infections, septicemia, and other clinically relevant conditions, with increasing multidrug resistance (MDR) limiting available treatment options. In this context, bacteriophages represent a valuable resource for exploring novel antimicrobial and biotechnological tools. Here, we report the isolation and genomic characterization of BorMax, a novel lytic phage infecting multiple MDR E. coli. Transmission electron microscopy revealed a tailed morphology consistent with Dhillonvirus. Whole genome sequencing and de novo assembly showed a linear double-stranded DNA genome of 45,502 bp, encoding 70 predicted coding sequences (CDSs) and lacking tRNAs. Bioinformatic analyses confirmed the absence of lysogeny-associated genes, as well as virulence and antimicrobial resistance determinants. Comparative genomics using classified BorMax within the genus Dhillonvirus as a new species, sharing <77% intergenomic similarity with known members. Notably, predictions using PaCRISPR and AcRanker identified four CDSs with strong anti-CRISPR (Acr) potential, representing previously undescribed Acr candidates in this group. These genomic features highlight the novelty, safety, and potential biotechnological relevance of BorMax and contribute to the expanding genomic and functional diversity of Dhillonvirus and E. coli-infecting phages. Full article

Background: Angiotensin-converting enzyme inhibitors (ACEIs) and angiotensin II receptor blockers (ARBs) are often used in hypertensive patients. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus responsible for the coronavirus disease 2019 (COVID-19) pandemic, binds the ACE2 receptor on the cell surface. This study aimed to identify the risk factors influencing COVID-19 infection in hypertensive patients. Methods: This is a part of a single-center, retrospective, observational study investigating patients ≥ 20 years old at Kenwakai Hospital (Nagano, Japan). COVID-19 was diagnosed by polymerase chain reaction. All patients received antihypertensive drugs. Results: Among 316 patients (mean age, 75.0 ± 13.4 years; men, 55.1%), COVID-19 was diagnosed in 39 (12.3%). Multiple logistic regression analysis after adjustment for age, sex, and smoking status identified increased serum creatinine (Scr) as a significant risk factor for COVID-19 (odds ratio [OR] 1.10; 95% confidence interval [CI] 1.00–1.20; p = 0.046). Conversely, lower serum chloride was associated with COVID-19 (OR 0.92; 95% CI 0.85–0.99; p = 0.047). There was no significant association between COVID-19 and the use of ACEIs and ARBs. Conclusions: Scr was independently associated with COVID-19 risk, whereas ACEI/ARB use was not associated with COVID-19 risk in Japanese hypertensive patients, suggesting that these users need not discontinue or change their treatment. The study population included a very high proportion of patients with advanced chronic kidney disease, which makes the cohort substantially different from the general hypertensive population. However, our results can help guide targeted treatment strategies, improving patient outcomes in healthcare settings. Full article

Background and Clinical Significance: Left ventricular thrombus formation after acute coronary syndrome represents a severe complication. Comprehensive echocardiographic assessment of the entire ventricle is essential, as regional wall motion abnormalities predispose to thrombus development. Although vitamin K antagonists have traditionally been the cornerstone of therapy, the convenience of direct oral anticoagulants has made them increasingly popular. However, the paucity of prospective data raises concerns regarding their general interchangeability. Case Presentation: We present a case of a basal left ventricular thrombus that rapidly progressed in size despite triple antithrombotic therapy including Apixaban. Conclusions: Following ACS, regional LV dysfunction predisposes to LVT formation—even in patients with only mild to moderate systolic impairment or non-apical akinesia. Although rare, LVT may also develop in basal and mid-ventricular segments. Anticoagulant selection should remain individualized, and short-term follow-up imaging is necessary to monitor therapeutic response. Full article

Background: Diabetes is a known risk factor of acute coronary syndrome (ACS). However, diabetes de novo and prediabetes are also common in ACS patients. This study explored the prevalence of prediabetes and diabetes de novo in ACS patients, glucose-mediating therapy at discharge, and compared the prevalence of 30-day major adverse cardiac and cerebrovascular events (MACCE) in patients with prediabetes and diabetes de novo with known diabetes. Methods: ACS patients with measured haemoglobin A1c (HbA1c) from the South-East Netherlands Heart Registry, a prospective, multicentre registry of patients undergoing percutaneous coronary intervention (PCI), were analysed. Patients were stratified into two groups: known diabetes, and prediabetes (HbA1c 39–47 mmol/mol) or diabetes de novo (HbA1c ≥ 48 mmol/mol). Outcomes were analysed at 30 days post-PCI. Results: HbA1c was available in 34.1% of ACS patients (n = 1836), of whom 526 (28.7%) had known diabetes, 619 (33.7%) prediabetes, and 180 (9.8%) diabetes de novo. Compared with patients with known diabetes, patients with prediabetes and diabetes de novo had a significantly higher risk of MACCE (HR = 1.81, 95% CI 1.12–2.93, p = 0.016) after multivariable adjustment. At discharge, 59% of patients with diabetes de novo received no insulin, metformin, nor sodium-glucose co-transporter-2 inhibitor, compared with 16% of patients with known diabetes (p < 0.001). Conclusions: Impaired glucose metabolism without known diabetes was observed in nearly 45% of ACS patients and they demonstrated a significantly higher risk of 30-day MACCE compared with patients with known diabetes. Despite clear guideline recommendations, routine screening for hyperglycaemia and the appropriate initiation of glucose-mediating therapy remain underutilised in clinical practice. Full article

This paper investigates travellers’ intentions, with regard to preferences for a green and/or ethical hotel, boycotting hotels accused of extreme environmental damages or over-exploitation of workers, and sharing relevant information on social media. Questioning the claim that intentions to prefer a green hotel are based mainly or even solely on practical criteria, this study focuses on examining the influencing power of values. The Values-Beliefs-Norms model was employed and modified as the New Environmental Paradigm was replaced by climate change risk perception. Personal interviews were conducted with consumers in the urban area of Thessaloniki, Greece, using a structured questionnaire for data collection. Area sampling, in combination with quota sampling, in terms of gender and age, was used. Results provided that egoistic and altruistic values were excluded from the final structural model, and just biospheric values indicated a statistically significant positive relationship with Risk Perception. The other hypothesised consecutive relationships between Biospheric Values (BV), Risk Perception (RP), Awareness of Consequences (AC), Ascription of Responsibility (AR), Personal Norms (PN) and Intentions (Int) were found to be statistically significant and positive. Overall, 80.9% of the variance in Intentions was explained, while Personal Norms indicated the stronger impact on Intentions among all other relationships in the chain. Eventually, theoretical and practical implications, as well as future research directions, are suggested. Full article

Electric Water Pumps (EWPs) are being adopted more widely to improve thermal management in internal combustion engines and electrified powertrain systems. In this context, the drive motor must deliver high efficiency and reliability despite a strict volume constraint. This paper addresses a key drawback of coreless printed circuit board (PCB) stator axial-flux permanent-magnet machines for EWP use: the PCB traces are directly exposed to the magnet flux, which increases AC loss, while the required phase resistance also leads to non-negligible DC copper loss. To mitigate both loss components within the same conductor design space, a pyramid trace concept is introduced. A magnetic equivalent circuit (MEC) based model is first used to estimate the baseline performance as the number of PCB stator modules changes, and the resulting scalability is examined in terms of module commonality. The final design then applies the pyramid trace layout with a layer-dependent trace width that is narrower on the layers closer to the magnets and wider on the layers farther away—the trade-off between AC loss and DC loss is optimized using 3D finite element analysis. Torque predictions from the simplified MEC model are cross-checked against 3D finite element analysis (FEA), and finally, a prototype is built to validate the analysis with experimental measurements; for the final selected model, the torque prediction error is 2.37% compared with the validation result. Full article

Olive leaves, a by-product of the olive oil industry, represent an interesting underutilized raw material for the preparation of herbal teas. However, processing conditions, particularly drying methods, may strongly influence their chemical and sensory quality. This study aimed to evaluate the effect of air drying (AD) and microwave drying (MWD) on the phenolic content, antioxidant capacity, volatile aroma compounds, sensory profile, and consumers’ acceptability of olive leaf herbal teas. Olive leaves were subjected to AD (50 °C, 3 h) and MWD (400 W, 4 min), and infusions were prepared. Total phenolic content (TPC) and antioxidant capacity (AC) were evaluated spectrophotometrically, volatile compounds were analyzed by HS-SPME-GC-MS, and sensory characteristics were assessed through descriptive sensory analysis and consumers’ acceptability test. MWD significantly increased TPC compared to AD; however, this increase was not proportionally reflected in AC. The drying methods influenced the volatile profile of herbal teas, with AD showing a higher amount of alcohols, esters, and terpenes associated with green and floral notes, whereas MWD showed a major content of aldehydes and ketones linked to fruity notes. Sensory analysis confirmed these differences; moreover, MWD herbal teas were more bitter and astringent, and consumer tests showed a clear preference for herbal teas produced from AD leaves. Overall, the results highlight the key role of drying methods in shaping the chemical and sensory attributes of olive leaf herbal tea, suggesting air drying to be the most suitable process for producing a sensorially acceptable product. Full article

Background/Objectives: Venous thromboembolism (VTE), including deep vein thrombosis (DVT) and pulmonary embolism (PE), remains a significant postoperative complication following major urologic cancer surgeries. Despite widespread use of thromboprophylaxis, the real-world effectiveness of these strategies remains uncertain. Methods: We conducted a retrospective cohort study using the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) database, including procedure-targeted data for radical cystectomy, radical prostatectomy, and radical nephrectomy from 2019 to 2022. Patients aged 18–90 years with complete data were included. Descriptive statistics and multivariate logistic regression analyses were performed to identify predictors of DVT and evaluate the impact of thromboprophylaxis strategies. Results: A total of 65,105 patients were analyzed: 28,805 prostatectomies, 28,414 cystectomies, and 7886 nephrectomies. The 30-day incidence of DVT and PE was 1.1% and 0.8%, respectively. Multivariate analysis identified prolonged hospital stay (>4 days), operative time (>180 min), and age > 75 years as independent predictors of DVT. Subgroup analyses confirmed these findings for cystectomy and prostatectomy but not for nephrectomy. Thromboprophylaxis was administered in 97.8% of patients; however, its use was not significantly associated with reduced DVT incidence, except for pharmacologic prophylaxis in cystectomy patients (OR 0.04, p = 0.03). Conclusions: Despite high adherence to thromboprophylaxis protocols, DVT remains a clinically relevant complication after urologic cancer surgery. Our findings highlight the importance of procedural factors in DVT risk and question the universal effectiveness of current prophylaxis strategies. These findings underscore the need for personalized, risk-stratified thromboprophylaxis protocols tailored to patient and procedural factors. Full article