Search Results (11,561)

To address the fault location problem in multi-terminal hybrid overhead–cable transmission lines with multiple sections, this paper proposes a novel method combining Modified Ensemble Empirical Mode Decomposition (MEEMD) and the Teager Energy Operator (TEO). First, the MEEMD algorithm—which mitigates mode mixing—is integrated with the TEO, which captures instantaneous energy variations, to achieve accurate detection of traveling wavefronts. Considering the topological complexity of multi-terminal hybrid transmission lines, a fault branch separation and iterative judgment method is proposed. Based on the arrival time characteristics of traveling waves, two topology decoupling strategies are designed to enable branch identification through network reconstruction and iterative computation. After determining the faulted branch, the fault section is precisely localized by comparing the time difference between the arrival of traveling waves at branch terminals and T-nodes with the propagation time differences at each connection point. Finally, the dual-ended traveling wave method is applied to calculate the fault distance. The proposed method is validated through co-simulation using PSCAD 4.6.2 and MATLAB R2023b. Comparative analysis of ranging accuracy demonstrates that this approach ensures reliable fault location under varying fault positions and transition resistances. Full article

To enhance the accuracy of wind power forecasting, this paper proposes a hybrid model that integrates Variational Mode Decomposition (VMD), Improved Dung Beetle Optimization (IDBO) and Support Vector Machine (SVM). First, to reduce the volatility and non-stationarity of wind power data, VMD is applied to decompose the original signal into several intrinsic mode functions (IMFs). Subsequently, the Dung Beetle Optimization (DBO) algorithm is improved using chaotic mapping, a Lévy flight search strategy and adaptive t-distribution. Finally, the penalty coefficient of the SVM is optimized using IDBO, and the VMD-IDBO-SVM model is constructed. This study proposes an improved IDBO algorithm and, for the first time, integrates VMD and IDBO-SVM within the context of wind power forecasting. Experimental results show that the proposed VMD-IDBO-SVM model achieves a MAE of 3.315, an RMSE of 4.130, and an R² of 0.985 on test data from a wind farm, demonstrating a significant improvement compared with the traditional SVM model. It has demonstrated excellent stability and significance in both multi-time-slice validation and statistical testing. Full article

Background: Overweight and metabolic disorders are strongly associated with gut microbiota dysbiosis. Probiotics represent a safe dietary strategy to improve metabolic health, although strain-specific effects remain unclear. This study evaluated the metabolic and gut microbiota-modulating effects of Lactobacillus helveticus (UA881) in overweight adults. Methods: In a randomized, double-blind, placebo-controlled trial, 50 overweight adults (Body mass index, BMI 25–27 kg/m²) were assigned to receive UA881 (5 × 10⁹ CFU/day) or placebo for 28 days. Anthropometric parameters, body composition, serum biochemical markers, inflammatory cytokines, fecal short-chain fatty acids (SCFAs), and gut microbiota composition (16S rRNA sequencing) were assessed at baseline and after 28 days. Statistical analyses included paired t-tests and ANCOVA adjusted for baseline values. Results: After 28 days of supplementation, UA881 significantly reduced body weight, BMI, and body fat mass. The primary endpoint, serum triglycerides, was significantly decreased, and the increases in uric acid, total cholesterol, and Low density lipoprotein-cholesterol (LDL-C) observed in the placebo group were attenuated. No significant changes were observed in interleukin-6 (IL-6) or tumor necrosis factor-α (TNF-α) levels. Fecal butanoic acid showed an increasing trend, and gut microbiota alpha diversity was significantly improved. At the genus level, Anaerostipes and Blautia were enriched, while Collinsella was reduced. Conclusions: A 28-day supplementation with L. helveticus UA881 (5 × 10⁹ CFU/day) improved body composition and lipid-related metabolic parameters and favorably modulated gut microbiota composition in overweight adults, supporting its potential as a probiotic candidate for metabolic health. Full article

DNMT1 variants are linked to complex neurodegenerative syndromes, yet their variant-specific functional and epigenomic consequences remain poorly defined. DNMT1 variants were identified in eight patients using gene-panel or whole-exome sequencing. Functional effects were assessed by site-directed mutagenesis and transient expression in HEK293T cells. Genome-wide methylation profiling of peripheral blood leukocyte DNA was performed using Nanopore sequencing, enabling direct quantification of 5-methylcytosine (5mC). CpG island-level differential methylation and gene set enrichment analysis (GSEA) were conducted. Variants in the replication foci targeting sequence (RFTS) domain (p.Y511H, p.Y540C, p.H569R) exhibited reduced DNMT1 protein expression, decreased enzymatic activity, and cytosolic aggregation. Variants in the C-terminal catalytic domain (p.A1334V and p.P1546S) showed reduced protein expression with relatively mild enzymatic impairment. Patients carrying the p.Y511H variant demonstrated a significant reduction in global 5mC levels compared with controls. Principal component analysis revealed distinct methylomic profiles separating most patients from controls, with marked intra- and inter-familial heterogeneity. CpG island-level analysis identified a single significantly hypomethylated region in p.Y511H carriers, and GSEA revealed differential enrichment of multiple Gene Ontology biological pathways. This study defines domain-dependent functional effects of DNMT1 variants and provides the first nanopore-based methylome analysis, revealing variant-specific and heterogeneous epigenomic alterations. Full article

Smart agricultural systems are continually evolving to provide high-quality planting and defend against threats such as climate change, which necessitate improved adaptation and resource allocation. IoT technology offers a cost-effective approach to monitoring and managing system performance. However, this approach faces challenges, including connectivity issues and complex decision-making. While researchers have studied these problems individually, no fully automated solution has addressed them simultaneously. There is still a need for an offline solution that manages multiple processes and reduces human error. This paper introduces an AI-powered edge computing system that serves as an early-warning solution for climate impacts. This system enables autonomous management through an Agentic AI model that observes, predicts, decides, and adapts. It provides a low-cost AIoT platform for data forecasting, classification, and decision-making, converting sensor data into actionable insights. The system integrates forecast evaluation with real-time data comparisons to optimize scheduling, efficiency, sustainability, and yields. Moreover, this solution is totally autonomous and independent of internet connectivity. Demonstrating its superior performance, it reduced errors by 50% and achieved an R-squared value of 0.985. Full article

Background/Objectives: Pseudomonas aeruginosa is one of the leading causes of ventilator-associated pneumonia (VAP) and ventilator-associated tracheobronchitis (VAT), with a worldwide spread of difficult-to-treat high-risk clones. This study aimed to investigate the virulence potential and to characterize phenotypic and genotypic antimicrobial resistance (AMR) in P. aeruginosa causing VAP/VAT in the Intensive Care Unit (ICU), University Hospital of Split, Croatia. Methods: The study included P. aeruginosa isolates obtained from ICU patients who met the criteria for VAP or VAT, between January 2023 and January 2024. Isolates were identified using MALDI-TOF MS and tested for antimicrobial susceptibility (AST). A subset of phenotypically multidrug-resistant (MDR) isolates was further analyzed using whole-genome sequencing (WGS) and multilocus sequence typing. Results: A high rate of resistance was detected to ceftazidime (23.4%), imipenem (39.6%), and meropenem (43.8%). WGS confirmed the presence of multiple AMR genes, including the bla_VIM-2 gene, whose genetic environment highlights a complex MDR locus integrating multiple AMR determinants and mobile genetic elements. All tested isolates possessed genes for class C (bla_PDC34, bla_PDC374 or bla_PDC16) and class D (bla_OXA-2, bla_OXA-10 or bla_OXA-50) β-lactamases, fosA, aph(3′)-IIb and crpP genes. Additionally, WGS analysis revealed the presence of numerous virulence genes including those for adherence (Type IV pili and Fap protein production), motility (such as flgF), biofilm formation (e.g., algE and mucE), quorum sensing (lasI, lasR, rhlI and rhlR), exotoxin (toxA and plcH) and exoenzyme activity (exoU, exoT, exoS, exoY, pcrV, hcp1 and lasA). The isolates belonged to four different sequence types: ST235, ST446, the high-risk ST253 and the widely distributed ST395. Phylogenomic comparison demonstrated that the isolates from this study do not originate from a single clonal source, but instead represent multiple globally distributed high-risk P. aeruginosa lineages introduced into the clinical setting. Conclusions: Due to the emergence of high-risk clones with broad AMR and strong virulence potential, ineffectiveness of standard empirical therapy may be anticipated, highlighting the urgent need for new therapeutic approaches (including those targeting major virulence factors). Full article

Background: Hashimoto’s thyroiditis (HT) is a prevalent autoimmune disorder, often diagnosed late due to its asymptomatic or nonspecific presentation. Emerging evidence suggests that gut-derived lipopolysaccharides (LPS) may contribute to autoimmune activation. Objective: The primary objective of this study was to assess circulating LPS concentrations and dietary patterns in patients with Hashimoto’s thyroiditis compared to healthy controls. Methods: A hospital-based case–control study was conducted involving 105 HT patients and 25 healthy controls. Serum LPS concentrations, thyroid hormone profiles, and autoantibody levels were assessed. Dietary patterns were evaluated using the validated KomPAN questionnaire. Results: HT patients exhibited significantly higher serum LPS levels, particularly those with elevated anti-TPO and TRAB antibodies. A positive correlation was found between LPS and the fT3/fT4 ratio (r = 0.247, p = 0.006), and a negative correlation with fT4 (r = −0.314, p < 0.001). Dietary analysis revealed lower Pro-Healthy Diet Index scores in HT patients (3.94 vs. 5.34, p = 0.001), with increased consumption of processed foods and reduced intake of whole grains and oats. Conclusions: Elevated levels of lipopolysaccharides (LPS) and unhealthy dietary patterns may play a role in the development of thyroid autoimmunity. Taken together, these observations are consistent with a multifactorial model that potentially involves gut barrier dysfunction, endotoxemia, and nutritional factors in HT pathogenesis. Full article

To clarify the phylogenetic relationship between Abutilon theophrasti M. and other Malvaceae plants, the chloroplast genome of A. theophrasti was assembled, annotated, and analyzed. The complete chloroplast genome was sequenced using the Illumina NovaSeq 6000 platform. Bioinformatics methods were employed to systematically analyze its genomic structure, repetitive sequences, nucleic acid diversity, and codon preference. Additionally, a phylogenetic tree was constructed by integrating chloroplast genomic sequences from other Malvaceae species. The results showed that the chloroplast genome of A. theophrasti was 160,440 bp in length with a GC content of 36.89%, exhibiting a typical tetrad structure. A total of 130 coding genes were annotated, including 85 mRNA genes, 37 tRNA genes, and 8 rRNA genes, with no pseudogenes detected. Codon preference analysis indicates that leucine (Leu) is the most frequently used amino acid. There are 31 codons with a relative synonymous codon usage (RSCU) value greater than 1, most of which end with A or U. The genome contains 61 scattered repeat sequences and 288 simple repeat sequences (SSR). Ka/Ks analysis revealed that the overall chloroplast genes of A. theophrasti undergo purifying selection, while genes such as psbK and rps12 are subjected to positive selection, which may be associated with adaptive evolution. Phylogenetically, A. theophrasti is most closely related to its congener A. indicum, followed by a clade comprising M. cathayensis and Malva crispa of the genus Malva. This study enhances the understanding of the phylogenetic relationship of A. theophrasti and provides a theoretical basis for the genetic improvement and breeding strategies of A. theophrasti and other Malvaceae plants. Full article

The horizontal-axis tidal turbine is a representative device for harnessing ocean tidal energy, and the structural optimization of its blades is crucial for enhancing the power capture efficiency. In this work, the twist and chord distributions of the blade are determined using an improved Blade Element Momentum (BEM) approach, in which tip and hub loss factors are employed to enhance the modeling accuracy, and these results are employed to construct a parametric model of the original rotor. Due to its simplified assumptions and inability to capture three-dimensional flow effects, computational fluid dynamics (CFD) simulations were carried out to evaluate the hydrodynamic performance and flow analysis of the designed rotor. Further, the orthogonal test method was used to optimize the hydraulic performance of the rotor. Three optimization parameters, namely hub diameter, airfoil type, and maximum airfoil thickness, were set with three levels. Based on the orthogonal design scheme, nine rotor configurations were generated, and their energy capture characteristics and flow fields were subsequently evaluated through numerical simulations. The analysis indicates that the choice of airfoil exerts the strongest impact on the rotor’s energy capture efficiency, while the influences of maximum airfoil thickness and hub diameter follow in descending order. Consequently, the optimized rotor adopts a NACA63-415 airfoil with a reduced maximum thickness of 0.9 T₀ and an intermediate hub diameter of 15%R, achieving a power coefficient of 0.445 at the design tip-speed ratio of 4, corresponding to a 3.08% improvement compared with the original design. Flow field analysis demonstrates that the optimized geometry promotes a more uniform spanwise pressure distribution and effectively suppresses flow separation, thereby enhancing the overall hydrodynamic efficiency. Full article

Soil erosion is a major threat to the sustainable productivity of arable lands, making the accurate prediction of soil erodibility essential for effective soil conservation planning. Soil erodibility is strongly controlled by intrinsic soil properties that regulate aggregate resistance and detachment processes under erosive forces. In this study, machine learning (ML) models, including the Multi-layer Perceptron Regressor (MLP), Random Forest (RF), Decision Tree (DT), and Extreme Gradient Boosting (XGBoost), were applied to predict the soil erodibility factor (K-factor). A comprehensive set of soil properties, including soil texture, clay ratio (CR), organic matter (OM), aggregate stability (AS), mean weight diameter (MWD), dispersion ratio (DR), modified clay ratio (MCR), and critical level of organic matter (CLOM), was analyzed using 110 soil samples collected from the northern part of Adana Province, Türkiye. The observed K-factor was calculated using the RUSLE equation, and ML-based predictions were spatially mapped using Geographic Information Systems (GISs). The mean K-factor values for arable, forest, and horticultural land uses were 0.065, 0.071, and 0.109 t h MJ⁻¹ mm⁻¹, respectively. Among the tested models, XGBoost showed the best predictive performance, with the lowest MAE (0.0051) and RMSE (0.0110) and the highest R² (0.9458). Furthermore, the XGBoost algorithm identified the CR as the most influential variable, closely followed by clay and MCR content. These results highlight the potential of ML-based approaches to support erosion risk assessment and soil management strategies at the regional scale. Full article

Hepatitis C virus (HCV) still lacks a licensed vaccine. The envelope glycoprotein E2 is a key neutralizing target, but its dense N-glycan shield can hinder epitope exposure. In this study, we revisit E2 glycan editing and examine whether single-site deletion preserves antigen integrity while improving immune responses in mice under a DNA immunization setting. Using a secreted E2 ectodomain (sE2384–661), we generated five N to D mutants at conserved sites (N1, N2, N4, N6, and N11) and evaluated them in a unified DNA immunization model with identical CpG content and delivery conditions across groups. The N2 mutant (N423, sE2-N2) maintained expression, secretion, and ER localization; furthermore, in mice, it was associated with higher anti-E2 titers and greater inhibition of H77 (genotype 1a) HCVcc at the tested dilutions, with limited activity against Con1 (1b). Cellular analyses showed increased IFN-γ ELISPOT counts and higher frequencies of granzyme B⁺/perforin⁺ CD8⁺ T cells after N2 immunization, while IL-4 remained low. Functionally, N2 elicited stronger specific lysis of CT26-sE2 targets in vitro and slowed CT26-sE2 tumor growth in vivo. In HCV-infected ICR^4R+ mice, therapeutic vaccination with sE2-N2 reduced blood HCV RNA and hepatic readouts compared with sE2. A monoclonal antibody isolated from sE2-N2-immunized mice (1C1) neutralized HCVcc in vitro and, after passive transfer, lowered viremia and liver signals in infected mice. Collectively, these findings indicate that selective removal of the N2 glycan preserves antigen properties and is associated with improved humoral and cellular immunity and measurable in vivo activity, supporting targeted glycan editing as a practical strategy to refine E2-based HCV vaccines. Full article

Background: Heart failure (HF) affects not only the cardiovascular system but also mental health. The majority of patients with HF experience symptoms of mental disorders, such as depression, which are proportionally related to the severity of HF. This results in a significant comorbidity of HF, which might be associated with poor clinical outcomes, including decreased health-related quality of life (HRQOL). In Türkiye, data concerning the extent of this complication among outpatients with HF are limited. Therefore, the aim of this study was to assess the prevalence of depression in outpatients with HF and consequently the HRQOL; the secondary aim was to identify the related factors contributing to the incidence of depression and HRQOL in patients with HF in Bursa, Türkiye. Methods: An outpatient, descriptive, observational, cross-sectional study was conducted in a cardiology outpatient clinic in Bursa Province, Türkiye, between September and December 2022. The study was conducted via a validated questionnaire consisting of four sections. Depression was measured using the Beck Depression Inventory (BDI) scale, and the HRQOL of HF patients was evaluated using the Turkish version of the Minnesota Living with HF Questionnaire (MLHFQ). Simple linear regression and multiple linear regression analyses were used to determine the effects of variables. Limitations of the study include its design as a descriptive, observational, cross-sectional study from a single center that relies on self-reported data. Results: A total of 166 patients were enrolled, with a mean age of 64.96 ± 11.33 years. Nearly half of the participants had moderate or severe depression (33.1% and 15.7%, respectively). The mean MLHFQ score of the study participants was 54.15 ± 18.20. Patients suffering from severe depression had the lowest HRQOL (71.46 ± 12.4). There was a significant increase in depression level, and a decrease in HRQOL in patients with a duration of HF diagnosis of more than 3 years (p = 0.001), a number of HF hospitalizations (p = 0.001), and those diagnosed with NYHA class IV (p = 0.001). Multiple linear regression analysis revealed a significant relationship between the duration of HF disease, number of comorbidities, number of medications used, and BDI [(0.30 < r: 0.31/0.43/0.43 ≤ 0.70), respectively]. The simple linear regression analysis revealed that the BDI has positive and significant explanatory power for the MLHFQ (F: 168.29; R²: 0.51; t: 12.97; p < 0.001), and 51% of the change in the MLHFQ score is recorded by the BDI (R²: 0.51). Conclusions: The results of this study revealed that comorbid depression and HRQOL are closely related. This was observed in nearly half of the patients with HF, who had comorbid moderate and severe depression, which is associated with poor HRQOL. The factors associated with high depression and poor HRQOL were the duration of HF diagnosis of more than 3 years, an increased number of HF hospitalizations, polypharmacy, and NYHA class IV diagnoses. Full article

Background/Objectives: Super-selective intra-arterial chemoradiotherapy (SSIACRT) is an alternatively effective treatment for locally advanced oral cavity cancer although no comparative studies on prognosis between SSIACRT and surgical resection with or without post-operative radiotherapy (S+R) have been reported. This study aimed to compare the 5-year survival rate and Quality of Life (QoL) between S+R and SSIACRT for locally advanced oral cavity cancer. Methods: From a total of 326 patients with stage III and IV oral cavity cancer treated between 2000–2020 at a single institution, 149 patients treated with S+R and SSIACRT were analyzed by using Propensity Score Matching (PSM) method, a pseudo-randomized controlled trial, and the matched cases were retrospectively evaluated. The 5-year survival rate and QoL were evaluated using the Kaplan–Meier method and the University of Washington QoL questionnaire, respectively. Log-rank test and Cox proportional hazards model were used to compare 5-year survival rate and to assess factors affecting survival rates, respectively. Paired t-test was used to compare QoL. Results: To compare the 5-year survival rate and QoL between S+R and SSIACRT, 48 and 15 cases were matched after PSM. The 149 cases were further evaluated for covariates affecting survival rates. The 5-year disease-specific survival rate and 5-year crude survival rate were 52.4% and 44.3% for S+R and 71.3%, and 62.9% for SSIACRT, respectively. There was no statistical difference in survival rates between both treatments, based on Log-rank test analysis. Treatment method was the only independent variable that influenced survival rates. SSIACRT showed better statistical difference in QoL evaluation, specifically in appearance, activity, recreation, swallowing, speech, shoulder, taste, mood, and total score. Conclusions: Propensity score-matched analysis demonstrated survival outcomes that were comparable to, and not inferior to, S+R. However, SSIACRT was associated with superior quality-of-life outcomes compared with S+R, as shown by Cox proportional hazards modeling. These findings suggest that SSIACRT is an effective treatment option and, from a quality-of-life perspective, may be considered a preferable approach in the management of locally advanced oral cavity cancer. Full article

Ensuring the long-term performance of infrastructure in cold regions necessitates evaluating the frost durability of subgrade materials. This study comprehensively investigates the mechanical behavior of cement-stabilized silty clay, a common material for subgrade improvement, under freeze–thaw (F–T) cycles. A series of unconfined compressive strength (UCS) and resilient modulus (MR) tests were conducted to quantify the effects of cement content (3%, 6%, 9%), initial moisture content (OMC − 2% to OMC + 6%), and the number of F–T cycles (0 to 9). The results demonstrate that increasing the cement content significantly enhances the MR, with the most effective improvement observed up to 6%. Specifically, increasing cement from 3% to 6% boosted MR by 11.62% to 26.69%, while a further increase to 9% yielded a smaller gain of 4.59% to 12.60%, indicating an optimal content. Both UCS and MR peak at the optimum moisture content (OMC) and degrade markedly with F–T cycles, with the first cycle causing over 50% of the total MR loss in most cases. Properties tend to stabilize after approximately six cycles. The stabilized soil exhibits superior performance, with its MR being 2.29–2.43 times that of the original soil at OMC after nine F–T cycles. Furthermore, a logarithmic model (R² = 0.87–0.94) effectively captures the attenuation of MR with F–T cycles, while a strong linear relationship (R² = 0.90–0.96) exists between the initial moisture content and the degradation coefficient. An empirical predictive model for UCS, integrating cement content, moisture content, and F–T cycles, is proposed and shows excellent correlation with experimental data (R² > 0.92). Microstructural analysis reveals that the enhancement mechanism is attributed to hydration, cation exchange, and flocculation, which collectively form a stable cementitious network. The findings and proposed models provide critical quantitative insights for optimizing the design of frost-resistant cement-stabilized subgrades, thereby contributing to the enhanced durability and performance of overlying structures in seasonal freeze–thaw environments. Full article

Trimeric intracellular cation channel A (TRIC-A) provides counter-ion support for sarcoplasmic reticulum (SR) Ca²⁺ release, yet its physiological role in the intact heart under stress remains poorly defined. Here, we demonstrate that TRIC-A is essential for maintaining balanced SR Ca²⁺ release, mitochondrial integrity, and cardiac resilience during β-adrenergic stimulation. Tric-a^−/− cardiomyocytes exhibited Ca²⁺ transients evoked by electrical stimuli and exaggerated isoproterenol (ISO)-evoked Ca²⁺ release, consistent with SR Ca²⁺ overload. These defects were accompanied by selective upregulation of protein kinase A (PKA)-dependent phosphorylation of ryanodine receptor 2 (RyR2) (S2808) and phospholamban (PLB) (S16). Acute ISO challenge induced mitochondrial swelling, cristae disruption, and Evans Blue Dye uptake, and elevated circulating troponin T in Tric-a^−/− hearts, hallmarks of necrosis-like cell death. Mitochondrial Ca²⁺ uptake inhibition with Ru360 markedly reduced membrane injury, establishing mitochondrial Ca²⁺ overload as the proximal trigger of cardiac cell death. With sustained β-adrenergic stimulation by ISO, Tric-a^−/− hearts developed extensive interstitial and perivascular fibrosis without exaggerated hypertrophy. Cardiac fibroblasts lacked TRIC-A expression and displayed normal Ca²⁺ signaling and activation, indicating that fibrosis arises secondarily from cardiomyocyte injury rather than fibroblast-intrinsic abnormalities. These findings identify TRIC-A as a critical regulator of SR-mitochondrial Ca²⁺ coupling and a key molecular safeguard that protects the heart from catecholamine-induced injury and maladaptive remodeling. Full article