Search Results (622)

The constrained bi-objective Minimum Spanning Tree (MST) problem is a fundamental challenge in network design, as it simultaneously requires minimizing both total edge weight and maximum hop distance under strict feasibility limits; however, most existing algorithms tend to emphasize one objective over the other, resulting in imbalanced solutions, limited Pareto fronts, or poor scalability on larger instances. To overcome these shortcomings, this study introduces a Hybrid MOCPO–AGE-MOEA algorithm that strategically combines the exploratory strength of Multi-Objective Crested Porcupines Optimization (MOCPO) with the exploitative refinement of the Adaptive Geometry-based Evolutionary Algorithm (AGE-MOEA), while a Kruskal-based repair operator is integrated to strictly enforce feasibility and preserve solution diversity. Moreover, through extensive experiments conducted on Euclidean graphs with 11–100 nodes, the hybrid consistently demonstrates superior performance compared with five state-of-the-art baselines, as it generates Pareto fronts up to four times larger, achieves nearly 20% reductions in hop counts, and delivers order-of-magnitude runtime improvements with near-linear scalability. Importantly, results reveal that allocating 85% of offspring to MOCPO exploration and 15% to AGE-MOEA exploitation yields the best balance between diversity, efficiency, and feasibility. Therefore, the Hybrid MOCPO–AGE-MOEA not only addresses critical gaps in constrained MST optimization but also establishes itself as a practical and scalable solution with strong applicability to domains such as software-defined networking, wireless mesh systems, and adaptive routing, where both computational efficiency and solution diversity are paramount Full article

The Minimum Spanning Tree (MST) problem addresses the challenge of identifying optimal network pathways for critical infrastructure systems, including transportation grids, communication backbones, power distribution networks, and reliability optimization frameworks. However, inherent uncertainties stemming from disruptive events demand robust analytical models for effective decision-making. This research introduces an uncertainty-theoretic framework to assess MST stability in uncertain network environments through novel constructs: lower set tolerance (LST) and dual lower set tolerance (DLST). Both LST and DLST provide quantifiable measures characterizing the resilience of element sets relative to edge-weighted MST configurations. LST captures the maximum simultaneous risk variation preserving current MST optimality, while DLST identifies the minimal variation required to invalidate it. We evaluate MST robustness by integrating uncertain reliability measures and risk factors, with emphasis on computational methods for set tolerance determination. To overcome computational hurdles in set tolerance derivation, we establish bounds and exact formulations within an uncertainty programming paradigm, offering enhanced efficiency compared with conventional re-optimization techniques. Full article

YKL-40 is a chitinase-like glycoprotein implicated in various pathological processes, yet its glycosaminoglycan (GAG) binding profile beyond heparin has not been examined. In this study, we performed a Microscale Thermophoresis (MST) analysis on the heparin-binding glycoprotein YKL-40 using low molecular weight GAG oligosaccharides. We identified two new GAG ligands, dermatan sulfate (DS) and hyaluronan (HA), while chondroitin sulfate (CS) showed no detectable binding affinity. The results show that heparin is bound with the strongest affinity, followed by DS and HA. To further investigate these differences, molecular docking was used to evaluate possible binding modes. Molecular docking results indicated that both heparin and DS interacted with the same site on YKL-40, the heparin-binding site at residues 143–149, suggesting a multifunctional binding region that may act as a competitive switch or integration hub for spatially regulated signaling. Together, these findings expand the known ligand profile of YKL-40 and offer new insights into its ECM-context-dependent roles, with implications for targeting YKL-40 in diseases involving chronic inflammation, fibrosis, and cancer progression. Full article

Efficient allocation of mineral nutrients and photoassimilates is essential for grain development in rice. However, the transcriptional programs governing nutrient transport at key reproductive stages remain largely unresolved. Here, we performed a comprehensive transcriptome analysis of rice (Oryza sativa L.) across spatial (nodes, roots, and five other tissues) and temporal (seven reproductive stages) dimensions to elucidate the molecular basis of nutrient transport and allocation. RNA-seq profiling of node I identified stage-specific gene expression patterns, with the grain filling stage marked by strong induction of transporters involved in mineral allocation (e.g., OsYSL2, OsZIP3, OsSULTR3;3, SPDT) and carbohydrate distribution (e.g., OsSWEET13, OsSWEET14, OsMST6). Comparative analysis with the neck-panicle node (NPN) and root revealed tissue-specific regulatory networks, including nitrate (OsNRT1.1A, OsNRT2.3) and phosphate (OsPHT1;4, OsPHO1;3) transporters enriched at the grain filling stage. Root expression of Cd/As-related transporters (OsNRAMP5, OsCd1, OsLsi1, OsLsi2, OsLsi3) during grain filling highlights the contribution of belowground uptake to grain metal accumulation. Together, our study establishes a spatiotemporal atlas of nutrient transporter gene activity during rice reproductive development and identifies candidate genes regulating upward and lateral nutrient allocation. These findings provide insights into improving nutrient use efficiency and reducing toxic metal accumulation in rice grains through targeted manipulation of nodal and root transport systems. Full article

Background: Assessments of functional capacity require considerable time and space and are thus generally not suitable for home-based assessments. Reproducibility measures from tests evaluating functional capacity suitable for home-based assessment are warranted. The aim of this study was to investigate the intra- and inter-rater reproducibility of home-based assessments of the one-minute sit-to-stand test (1MSTS), handgrip strength (HGS), and short physical performance battery (SPPB) in patients with moderate to very severe chronic obstructive pulmonary disease (COPD). Methods: Fifty patients were recruited from an ongoing RCT study prior to the start of the intervention. All patients performed two 1MSTS attempts with 30 min intervals, three HGS attempts, and one SPPB attempt. The procedure was repeated after 7–10 days by a blinded assessor. Results: Fifty patients (29 females; mean (SD): age 71.3 (±7.7) years, FEV1% predicted 37.4 (±14.1), and COPD assessment test score 19.4 (±6.5) were assessed. The 1MSTS intra-rater reliability (intraclass correlation coefficient; ICC_1.1) was 0.95 (lower limit 95% CI: 0.91) and classified as excellent; agreement (standard error of measurement, SEM) was 1.7 repetitions. The inter-rater reliability ICC_1.1 for 1MSTS was 0.91 (lower limit 95% CI: 0.84) and SEM 2.5 repetitions; for HGS it was ICC_1.1 of 0.84 (lower limit 95% CI: 0.74) and SEM 4.2 kg; for SPPB it was ICC_1.1 of 0.86 (lower limit 95% CI: 0.77) and SEM 0.9 points, respectively. Conclusions: The reproducibility of home-based assessment with 1MSTS, HGS, and SPPB in patients with moderate to very severe COPD showed good to excellent intra- and inter-rater reliability and acceptable agreement below the established minimal important change. These findings support the utility and feasibility of these tests as reliable outcome measures in clinical practice and their applicability in home-based settings enabling functional assessments of patients with transportation challenges and mobility limitations. Full article

Objective: To synthesize the available evidence on field tests used to assess functional capacity in children with CLDs other than asthma, such as cystic fibrosis (CF), and non-CF bronchiectasis (NCFB). Still, the application and reliability of the field tests in non-asthmatic pediatric CLDs populations is scarce. Methods: Three databases (PubMed, Medline via EBSCOhost, and Web of Science) were searched from inception to 20 May 2025. Two researchers independently screened the retrieved articles and rated the methodological quality using the NIH Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies. Information was extracted about study design, field test used, outcomes measured, and methodological quality. Results: Out of 784 records, 8 studies met the inclusion criteria. Most studies focused on CF. Five different field tests were identified: six-minute walk test (6MWT), modified shuttle walk test (mSWT), one-minute sit-to-stand test (1mSTS), three-minute step test (3mST), and TGlittre-P test. The 6MWT (n = 3) and mSWT (n = 2) were the most frequently used and demonstrated good reliability and clinical applicability. Reported outcomes included distance walked, total steps, task’ repetitions, and cardiopulmonary parameters, such as heart rate and perceived exertion of dyspnea/leg fatigue. Conclusions: Field exercise tests appear to be feasible in children with CLDs other than asthma, with most data available in CF. They can be used to monitor functional capacity over time, to assess the effectiveness of rehabilitation programs, and to complement symptom assessment with tools such as the Borg scale. Evidence in NCFB and PCD is still limited, and additional pediatric studies are needed. Full article

Background: The reconstruction of diaphyseal bone defects following tumor resection offers various biological and endoprosthetic treatment options. The present study analyzes the impact of the fixation method (cemented; uncemented; with locking screw; without locking screw) of the diaphyseal implant on clinical outcomes. Factors such as patient age and weight as well as tumor type and location are also considered. Methods: This study included 39 patients who underwent intercalary endoprosthetic reconstruction of the humerus (n = 4); femur (n = 29); and tibia (n = 6) between 1998 and 2020. Prosthetic complications, fixation methods and the MSTS score for functional outcome were statistically analyzed using SPSS and R. Results: The event-free probability in the competing risk model was 61% (95% CI 43–74%) after one year and 11% (95% CI 3–28%) after five years. The complication rate in the patient cohort was 54%. Cementless prosthesis fixation was associated with a statistically significant better functional outcome. Additionally, higher body weight and older patient age were associated with lower MSTS scores. Conclusions: Patients requiring rapid remobilization or adjuvant radiation therapy may benefit more from diaphyseal implants compared to biological reconstructions. However, the complication and revision rates of diaphyseal implants are elevated. The chosen fixation method shows a statistically significant influence on functional outcome. Full article

RASSF4 is a key member of the Ras-associated domain family (RASSF) that exhibits dual functionality in tumorigenesis, playing critical yet context-dependent roles in various malignancies. Its expression is epigenetically regulated through promoter hypermethylation, histone modifications, and microRNAs including miR-155 and miR-196a-5p, which directly target its 3′ untranslated region. In most cancers, such as non-small cell lung cancer (NSCLC) and gastric adenocarcinoma (GAC), RASSF4 acts as a tumor suppressor by inhibiting the RAS/MAPK pathway while activating the Hippo signaling cascade, ultimately inducing cell cycle arrest and apoptosis. Conversely, in aRMS, RASSF4 is upregulated by the PAX3-FOXO1 fusion oncoprotein and promotes tumor growth through MST1 inhibition and subsequent YAP activation. This review systematically analyzes current evidence regarding RASSF4’s complex regulatory mechanisms and clinical significance. We propose targeted therapeutic strategies including epigenetic reactivation, gene intervention, and combination therapies. Furthermore, we identify RASSF4 as a promising diagnostic biomarker and therapeutic target based on integrated mechanistic and clinical evidence. Future research should focus on elucidating context-dependent regulatory switches, developing targeted delivery systems, and validating clinical utility through prospective trials. Full article

Reactive sulfur species (RSS)—hydrogen sulfide (H₂S), low-molecular-weight persulfides/polysulfides and protein persulfidation—constitute a third redox axis alongside ROS and RNS. Nanomolar H₂S, produced by trans-sulfuration (CBS/CSE) and 3-MST, is oxidized by sulfide–quinone reductase to persulfides that fuel the respiratory chain while curbing superoxide. Reversible persulfidation reprograms cysteine sensors in metabolism (GAPDH), inflammation (NLRP3, p47^phox) and transcription (Keap1/NRF2), linking RSS to energy balance, vasodilation, innate immunity and neuroplasticity. Disrupted sulfur signaling—deficit or overload—contributes to heart failure, sarcopenia, neurodegeneration, cancer and post-COVID syndromes. Therapeutically, slow-release donors (SG1002, GYY4137), mitochondria-targeted vectors (AP39), photo- or thiol-activated “smart” scaffolds, diet-derived polysulfides/isothiocyanates and microbiota engineering aim to restore the protective RSS window. Key challenges are a narrow therapeutic margin and real-time quantification of persulfide fluxes. Harnessing RSS therefore offers a route to rebalance redox homeostasis across diverse chronic diseases. Full article

This paper develops a dynamic information-theoretic network framework to quantify systemic risk in China’s maritime–commodity nexus with a focus on the Yangtze River Basin using eight monthly indicators, CCFI, CBCFI, BDI, YRCFI, GAUP, MPCT, CPUS, and ASMC. We resample, impute, standardize, and difference series to achieve stationary time series. Nonlinear interdependencies are estimated via KSG mutual information (MI) within sliding windows; networks are filtered using the Planar Maximally Filtered Graph (PMFG) with bootstrap edge validation (95th percentile) and benchmarked against the MST. Average MI indicates moderate yet heterogeneous dependence (about 0.13–0.17), revealing a container/port core (CCFI–YRCFI–MPCT), a bulk/energy spine (BDI–CPUS), and commodity bridges via GAUP. Dynamic PMFG metrics show a generally resilient but episodically vulnerable structure: density and compactness decline in turbulence. Stress tests demonstrate high redundancy to diffuse link failures (connectivity largely intact until ∼70–80% edge removal) but pronounced sensitivity of diffusion capacity to targeted multi-node outages. Early-warning indicators based on entropy rate and percolation threshold Z-scores flag recurring windows of elevated fragility; change point detection evaluation of both metrics isolates clustered regime shifts (2015–2016, 2018–2019, 2021–2022, and late 2023–2024). A Systemic Importance Index (SII) combining average centrality and removal impact ranks MPCT and CCFI as most critical, followed by BDI, with GAUP/CPUS mid-peripheral and ASMC peripheral. The findings imply that safeguarding port throughput and stabilizing container freight conditions deliver the greatest resilience gains, while monitoring bulk/energy linkages is essential when macro shocks synchronize across markets. Full article

Background: Previous studies showed that workplace physical activity programs (WPAPs) could improve general health among employees. However, there is a lack of correlation between oxidative redox status and the metabolic and physical fitness (PF) of workers. The objective of the study was to evaluate the improvements of a 24-week combined circuit training and mobility training program on PF, oxidative redox status, and metabolic parameters on healthy academic employees. Methods: Twenty-six university employees (52.8 ± 11.5 years) followed a 24-week WPAP composed of two circuit training sessions and one mobility training session per week. PF components were assessed through one leg stand, shoulder/neck mobility, handgrip, dynamic sit-up, jump and reach, and 2-Minute step test (2MST). Oxidative stress and antioxidant potential were evaluated through derived-Reactive Oxygen Metabolites (d-ROM) and biological antioxidant potential (BAP) tests, respectively. Metabolic measurements included total cholesterol, LDL-C, HDL-C, triglycerides, and fasting plasma glucose. All assessments were conducted at baseline and after 24 weeks. Results: D-ROM values increased significantly likely due to an acute adaptive response to exercise and a stable BAP/d-ROM ratio was maintained. At baseline, subjects with higher 2MST scores showed a better BAP/d-ROM ratio compared to those with lower 2MST scores, which was also associated with normal weight status (p < 0.05), healthy values of triglycerides (p < 0.01), and LDL-C (p < 0.01). Excluding statin-treated subjects, an intriguing shift toward a condition of enhanced antioxidant capacity was observed. Conclusions: Overall, the 24-week WPAP improved metabolic health and maintained redox balance, despite increased reactive oxygen species (ROS) production. Statin supplementation may have hidden antioxidant adaptations to physical exercise, an intriguing observation that warrants further studies. Full article

This paper presents a heuristic methodology for the optimal expansion of unbalanced three-phase distribution systems in rural areas, simultaneously addressing feeder routing and conductor sizing to minimize the total annualized cost—defined as the sum of investments in conductors and operational energy losses. The planning strategy explores two radial topological models: the Minimum Spanning Tree (MST) and the Steiner Tree (ST). The latter incorporates auxiliary nodes to reduce the total line length. For each topology, an initial conductor sizing is performed based on three-phase power flow calculations using Broyden’s method, capturing the unbalanced nature of the rural networks. These initial solutions are refined via four metaheuristic algorithms—the Chu–Beasley Genetic Algorithm (CBGA), Particle Swarm Optimization (PSO), the Sine–Cosine Algorithm (SCA), and the Grey Wolf Optimizer (GWO)—under a master–slave optimization framework. Numerical experiments on 15-, 25- and 50-node rural test systems show that the ST combined with GWO consistently achieves the lowest total costs—reducing expenditures by up to 70.63% compared to MST configurations—and exhibits superior robustness across all performance metrics, including best-, average-, and worst-case solutions, as well as standard deviation. Beyond its technical contributions, the proposed methodology supports the United Nations Sustainable Development Goals by promoting universal energy access (SDG 7), fostering cost-effective rural infrastructure (SDG 9), and contributing to reductions in urban–rural inequalities in electricity access (SDG 10). All simulations were implemented in MATLAB 2024a, demonstrating the practical viability and scalability of the method for planning rural distribution networks under unbalanced load conditions. Full article

Multi-label arrhythmia classification from 12-lead ECG signals is a tricky problem, including spatiotemporal feature extraction, feature fusion, and class imbalance. To address these issues, a multi-scale temporal–dynamic graph convolutional with orthogonal gates method, termed MST-DGCN, is proposed for ECG arrhythmia classification. In this method, a temporal–dynamic graph convolution with dynamic adjacency matrices is used to learn spatiotemporal patterns jointly, and an orthogonal gated fusion mechanism is used to eliminate redundancy, so as to strength their complementarity and independence through adjusting the significance of features dynamically. Moreover, a multi-instance learning strategy is proposed to alleviate class imbalance by adjusting the proportion of a few arrhythmia samples through adaptive label allocation. After validating on the St Petersburg INCART dataset under stringent inter-patient settings, the experimental results show that the proposed MST-DGCN method can achieve the best classification performance with an F1-score of 73.66% (+6.2% over prior baseline methods), with concurrent improvements in AUC (70.92%) and mAP (85.24%), while maintaining computational efficiency. Full article

Background: This study aims to determine test–retest reliability and to calculate minimal detectable change (MDC) scores for the functional capacity of the 6-minute step test (6MST) and 1 min sit-to-stand test (1-min-STST), and compare these outcomes with the 6-minute walk test (6MWT) in post-COVID-19 patients. Methods: A total of 42 post-COVID-19 patients aged 18 years or older were recruited for this study. The post-COVID-19 patients were investigated for cardiovascular response parameters induced by a 6MWT, 6MST, and 1-min-STST on two different days, with a five-day interval between the first and second days. Results: The test–retest reliability obtained between the initial measurement and the measurement recorded five days later in the post-COVID-19 patients was excellent for all three of the 6MWT, 6MST, and 1-min-STST. The ICC of the 6MWT was 0.97 with MDC95 at 5.57%. The ICC of the 6MST was 0.93 with MDC95 at 12.21%, while, the ICC of the 1-min-STST was 0.96 with MDC95 at 3.61%. Conclusions: The 6MST and 1-min-STST were valid and acceptable for the evaluation of functional capacity in post- COVID-19 patients and can be used to investigate whether each post-COVID-19 patient had made significant improvement in a clinical setting. Full article

Background/Objectives: Resection arthroplasty is well established in treating bone defects following tumor resection, with the distal femur and proximal tibia being its most common localizations. The aim of this study was to analyze the functional outcomes and quality of life following endoprosthetic reconstruction for malignant bone tumors of the knee joint. Methods: We retrospectively included all patients treated with an endoprosthetic reconstruction following resection of a malignant bone tumor of the knee at our institution. Functional outcomes (KOOS, OKS, MSTS, and KSS) and health-related quality of life scores [QoL] (SF-36, Karnofsky Index) were evaluated. Chi-square and Fisher’s exact test was used for categorical variables, T-test and Whitney U-Mann tests for continuous variables. Survival was calculated using the Kaplan–Meier curves. Results: 32 patients were included. A total of 12 patients had died at the time of follow-up. Among the remaining 20 patients (m:w 17:3), mean follow-up was 8.1 years (range, 8.12 ± 6.8). Mean age at the time of tumor diagnosis was 50 ± 23.3 (10–83) years. According to age, patients were divided into two groups (group C1: <29 years, group C2: >29 years). Group C1 showed significantly better results regarding functional outcome (p < 0.05). The anatomic location of the replacement and a revision surgery did not influence the functional outcome (p > 0.05). QoL showed no significant differences in subgroup analysis (p > 0.05). Primary bone tumors had a significantly better survival (primary tumor: 216.90 months [168.42–265.83]; secondary tumor: 37.03 months [11.71–62.35] p = 0.01). Furthermore, pathologic fractures were associated with significantly worse survival (pathologic fracture: 50.24 months [0.00–102.43]; pathologic fracture 190.63 moths [139.28–241.45]; p = 0.007). Conclusions: Knee resection arthroplasty can offer meaningful long-term functional outcomes and acceptable quality of life in selected patients with musculoskeletal tumors. While the rarity and heterogeneity of such cases remain a challenge, our findings contribute to the growing evidence supporting this complex but limb-sparing surgical option. Full article