Search Results (5,707)

Optimal coordination of directional overcurrent relays (DOCRs) in medium-to-large power systems constitutes a computationally demanding, mixed-integer, nonlinear optimisation problem whose complexity escalates rapidly with system size, making the simultaneous minimisation of relay operating time and computational cost a critical open challenge. This study presents a two-level hierarchical framework in which Type-2 Fuzzy C-Means (T2FCM) clustering partitions 226 fault scenarios into subproblems at the upper level, while the Hybrid Fractional Entropy Evolution (HFEE) algorithm independently optimises relay settings for each cluster at the lower level. HFEE integrates fractional-order velocity updates—derived from the Grünwald–Letnikov formulation—with a Shannon entropy diversity-control mechanism to prevent premature convergence. T2FCM captures inherent fault-current uncertainty through interval-valued type-2 fuzzy memberships, yielding more robust cluster assignments near protection-zone boundaries than crisp partitioning methods. The framework is validated on the extended IEEE 30-bus system. An ablation study demonstrates that standalone HFEE achieves a 29.19% improvement in $T_{\mathrm{op}}$ over the prior best-reported result; however, a comprehensive parameter sweep over cluster counts $K\in \{2,\dots ,8\}$ and fractional orders $\alpha \in \{0.1,\dots ,0.9\}$ across 50 independent runs per configuration shows that the proposed clustering-decomposed method achieves 3.68–66.67% lower wall-clock computation time while maintaining zero CTI violations across all active relay pairs. The communicationless, entirely offline framework demonstrates scalability for simultaneous sub-transmission and distribution protection coordination and offers a practically deployable strategy for modern power networks. Full article

Money laundering remains a critical challenge for financial systems because of the complex, hidden, and interlinked nature of illicit financial transaction networks. Understanding how these networks respond to targeted disruption is essential for exposing structural vulnerabilities and refining existing anti-money laundering (AML) prevention and intervention strategies. This study involves a social network analysis (SNA)-based resilience framework to evaluate the robustness of financial transaction networks through targeted node removal. In this approach, a network is represented as a directed graph, where nodes correspond to accounts and edges represent transactions. Centrality measures (i.e., degree, closeness, betweenness and pagerank), which capture local influence, global reach, and control over information flow, are applied to identify the most influential nodes. Network resilience is assessed by analyzing the variation in the size of the Largest Connected Component (LCC) under progressive node removal. An adaptive LCC-based resilience strategy is used, starting with large batches of nodes and gradually moving to smaller ones until the LCC drops below 50% of its original size, allowing for a more detailed analysis near the fragmentation threshold. The findings reveal that Betweenness centrality is the most effective metric in disrupting network connectivity under targeted attack scenarios, both outflow- and inflow-based analyses. Specifically, targeting only the top 2% of nodes by Betweenness centrality collapses the network’s core, reducing the Largest Connected Component (LCC) to 60% of its original size. In contrast, random attack strategy exhibit limited impact on overall network resilience compared to targeted approaches. Our findings provide actionable AML insights, showing that resilience-driven targeting of structurally critical accounts can effectively fragment money laundering networks and support more focused interdiction strategies. Full article

Visceral white spot disease caused by Pseudomonas plecoglossicida poses a severe threat to large yellow croaker (Larimichthys crocea) aquaculture. This study investigated the immunomodulatory effects and underlying mechanisms of Pseudostellaria heterophylla extract against P. plecoglossicida infection in L. crocea. Fish were fed a basal diet supplemented with 1% P. heterophylla extract for 30, 45, and 60 days, followed by intraperitoneal injection with 200 μL P. plecoglossicida (1 × 10⁴ CFU/mL). At 5 days post-infection, transcriptome sequencing of head kidney tissues was performed on the 45 and 60 days post-feeding of the treatment groups to analyze gene expression changes following bacterial infection. Survival rates of the treatment groups were 33.33%, 13.33%, and 20% higher than those of the control group at 30, 45, and 60 days post-feeding, respectively. Transcriptomic analysis revealed time-dependent transcriptional responses: in one group, 45 days post-feeding, 10 differentially expressed genes (DEGs) were identified (2 up-regulated and 8 down-regulated), whereas in another group, 60 days post-feeding, 893 DEGs were detected (417 up-regulated and 476 down-regulated). Functional enrichment analysis (GO, KEGG, and GSEA) demonstrated that DEGs were significantly enriched in immune-related pathways, including Toll-like receptor signaling, chemokine activity, Th1 and Th2 cell differentiation, hematopoietic cell lineage, and cytokine–cytokine receptor interaction. Key immune genes, including chemokines, Toll-like receptors, and T cell regulators, were significantly up-regulated. These findings indicate that P. heterophylla extract enhances both the specific and non-specific immune capabilities of L. crocea in a time-dependent manner, with prolonged supplementation eliciting more robust transcriptional activation of immune defense pathways. This study provides a scientific foundation for developing immunological prevention strategies against P. plecoglossicida infection in aquaculture. Full article

For low-speed heavy-load steering of electric forklifts, conventional three-loop proportional–integral (PI) control employs a fixed saturation limit on the position-loop output. Consequently, the maximum allowable speed cannot be adjusted according to load variations. Under light-load conditions, the steering motor speed is excessively constrained, which wastes the available voltage margin. Under heavy-load conditions, the allowable speed may exceed the voltage limit, thereby causing voltage saturation. Moreover, load-torque feedforward compensation is commonly adopted to improve load-carrying capability. However, at medium and high speeds, excessive feedforward action may cause voltage saturation and current-vector offset. This can lead to loss of control of the steering motor. To address these issues, a voltage-limit-constrained dynamic saturation and load-torque feedforward control strategy is proposed for electric forklift steering systems. First, fuzzy PI control is adopted in the position loop. Then, considering the nearly identical direct-axis and quadrature-axis inductances of a surface-mounted permanent magnet synchronous motor (PMSM), the direct-axis current is set to zero. An analytical expression of the maximum safe speed is derived with the quadrature-axis current as the only independent variable. Based on this expression, a dynamic saturation limit is designed for the position-loop output. Finally, a reduced-order disturbance observer (DOB) is utilized to estimate the equivalent load torque in real time. The current feedforward gain is dynamically regulated according to the voltage margin. This compensates for torque limitation caused by speed-loop saturation while preventing voltage saturation. A Simulink simulation platform is developed using a forklift as the case study. The results demonstrate that, compared with the conventional three-loop PI controller, the proposed strategy reduces the no-load 180° step-response time by 30%. Under heavy-load and large-angle steering conditions, the voltage margin is maintained at approximately 10%. Full article

In the context of the new power system, modular multilevel converter high-voltage direct current (MMC-HVDC) has become a key technical solution for the large-scale grid integration of wind power. However, when a fault occurs in the AC grid at the system receiving end, the high-voltage direct current (HVDC) system faces challenges such as wind power redundancy, DC overvoltage, and equipment overcurrent. To address this, this paper proposes an energy storage-coordinated fault ride-through (FRT) control strategy suitable for different fault scenarios. The strategy optimizes the allocation of energy storage capacity according to the state of charge (SOC) of the energy storage units (ESUs), preventing individual ESUs from prematurely shutting down and reducing energy dissipation. Finally, a comparison with a conventional DC dissipation resistor scheme on the PSCAD/EMTDC platform demonstrates that the proposed strategy provides smoother power regulation characteristics and smaller DC voltage fluctuations, thereby enhancing the economic efficiency and reliability of system operation. Full article

With the aim of achieving outstanding thermal control and corrosion resistance properties, a white MAO thermal control coating sealed by a silicon–zirconium hybrid sol–gel layer was prepared in this work. The corrosion behavior of the coating was evaluated using potentiodynamic polarization and electrochemical impedance spectroscopy (EIS) in 3.5 wt.% NaCl solution. Microstructural and compositional characterizations were conducted using scanning electron microscopy (SEM), X-ray diffraction (XRD), and energy-dispersive spectroscopy (EDS). Results indicated that the sol–gel/MAO composite coating significantly outperformed the single-layer MAO coating in corrosion resistance, primarily due to effective sealing of micro-pores and cracks by the sol–gel layer, which prevented the penetration of corrosive agents. The post-immersion morphological observations were in good agreement with the EIS results. After immersion, the corrosion current density of the composite coating only increased from 10^−6.4 to 10^−5.1 A/cm², while the corrosion potential decreased from −1.25 V to −1.35 V. The post-immersion morphological observations were consistent with EIS results. Meanwhile, the composite coating can effectively mitigate the thermal control performance degradation caused by corrosion. Compared with the MAO coating, the absolute increase in solar absorptance of the sol–gel/MAO coating is reduced by 60%. After 168 h of accelerated corrosion tests in a simulated marine environment, the solar absorptance (α_S) of the sol–gel/MAO coating increased by only 0.05. This study demonstrates that the combination of MAO and sol–gel treatment provides a promising strategy for the development of lightweight, corrosion-resistant magnesium alloys for aerospace applications. Full article

Tuberculosis (TB) remains a major public health burden in China. Although meteorological and environmental factors are recognized to influence TB transmission, their non-linear effects and spatiotemporal heterogeneity have not been fully elucidated. Based on monthly TB incidence data from 31 provinces in China during 2005–2020, this study systematically investigated these effects by integrating nine meteorological and air pollution variables within a combined machine learning and spatial statistical modeling framework. The results indicated that the Extreme Gradient Boosting (XGBoost) model effectively captured the complex non-linear relationships between environmental exposure and TB incidence. SHAP interpretability analysis identified surface pressure (SP), vegetation coverage, and PM_2.5 as the key drivers and revealed pronounced nonlinear response patterns and threshold effects. In particular, the promoting effect of PM_2.5 on TB incidence increased sharply at medium-to-high concentration levels. To further investigate spatial and temporal non-stationarity, Geographically and Temporally Weighted Regression (GTWR) was applied. The results demonstrated strong spatiotemporal heterogeneity in driver effects across provinces. The influence of PM_2.5 showed a consistently positive association with TB incidence and exhibited a distinct temporal evolution characterized by an initial strengthening before 2015 followed by a weakening thereafter, closely aligning with China’s air pollution control process. These findings provide new insights into the nonlinear and spatiotemporally heterogeneous effects of meteorological and environmental factors on TB incidence and support the development of more targeted, region-specific TB prevention strategies. Full article

Modulation of cholesterol metabolism and reduction in serum cholesterol are key strategies for preventing cardiovascular diseases (CVDs). Functional foods enriched with dietary fiber and phytochemicals have attracted increasing attention for their potential health benefits. In this study, milk tablets containing kale and carrot (KC) were developed and preliminarily evaluated for their cholesterol-lowering potential. KC milk tablets were rich in dietary fiber, contained gallic acid, and exhibited antioxidant properties. They also supported the growth of Lactobacillus casei and Bifidobacterium longum in vitro, accompanied by increased SCFA production. In an open-label, pre–post exploratory study in hypercholesterolemic subjects, daily consumption for 6 weeks was associated with significantly increased HDL-C and reduced LDL-C levels. In addition, circulating ApoB100 and HMGCR levels were reduced, whereas ApoE and TNF-α remained unchanged. Therefore, these preliminary findings suggest that KC milk tablets may accomplish beneficial changes in lipid profiles and support the potential of dietary fiber–phenolic interactions with enhanced SCFA production which might modulate cholesterol metabolism. However, in further studies, randomized controlled trials are required to understand the precise underlying mechanism. Full article

The prevention and treatment of cardiovascular disease (CVD) are undergoing a paradigm shift from a lipid-centric approach to a holistic metabolic perspective. Central to this evolution is the gut–fat–heart axis, a sophisticated three-dimensional communication network that integrates neural, endocrine, and immunometabolic signaling to regulate systemic lipid homeostasis. This manuscript systematically explores how the gut microbiota acts as a “metabolic organ” to remotely control host health through the production of bioactive metabolites and the modulation of molecular communication networks. At the physiological level, microbial products such as short-chain fatty acids (SCFAs) and modified bile acids regulate energy balance and lipid synthesis via the FXR-FGF15/19 axis and G protein-coupled receptors. Furthermore, gut hormones like GLP-1 and neuro-reflex pathways involving the vagus nerve provide rapid control over postprandial lipid clearance and feeding behavior. Conversely, pathological dysbiosis triggers the accumulation of harmful metabolites, such as trimethylamine N-oxide (TMAO) and lipopolysaccharides (LPS), which drive lipotoxicity, vascular inflammation, and “dysfunctional HDL” formation. These processes accelerate the progression of atherosclerosis, heart failure, and metabolic syndrome. Finally, the article outlines promising clinical translation strategies, including the development of TMA lyase inhibitors, next-generation probiotics, and the use of phytochemicals to reshape the microbial landscape. By decoding the molecular dialogues within the gut–fat–heart axis, this research provides a novel strategic vantage point for the integrated management of cardiovascular–kidney–metabolic (CKM) syndrome. Full article

Background: Unhealthy alcohol use may lead to arrhythmia and cardiomyopathy, but its impact on sudden death is not well understood. Objective: To investigate the association of unhealthy alcohol use with sudden death. Methods: We conducted a case-control study in Wake County, a large (~1 million inhabitants), diverse county in North Carolina. We screened and adjudicated victims of sudden, unexpected, out-of-hospital deaths in adults aged 18–64 years reported by emergency medical services between 2013 and 2015. We randomly selected sex- and age-matched control patients from a university health system from the same county and time period. Characteristics of sudden death victims and controls were ascertained via standardized chart reviews. Unhealthy alcohol use was identified via chart review and was defined as any evidence of excessive alcohol use, such as it being stated in the social history or medical history, alcohol abuse being listed as a possible contributor to death, or alcohol-related diagnoses. We used logistic regression to estimate odds ratios (ORs) for the association of unhealthy alcohol use and sudden death, adjusting for age, sex, race, and other psychiatric diagnoses, including depression, anxiety, schizophrenia, bipolar disorder, and substance use disorders other than tobacco and alcohol. We also calculated the E-value to estimate the impact of any unmeasured confounders. Results: We identified 399 sudden death victims, of whom 374 (94%) had alcohol use data available. Among these 374 included victims, 256 (68%) were male, and 239 (62%) were White, with a median age at death of 55 years (IQR 48, 60). The demographic characteristics of the 1114 matched controls were similar to those of sudden death victims. Unhealthy alcohol use was present in 115 (31%) sudden death victims and 27 (2%) controls. In analyses adjusted for demographics only, unhealthy alcohol use was associated with a higher incidence of sudden death, with an OR of 17.5 (95% CI 11.4, 27.8). When further adjusted for other psychiatric diagnoses, the OR was 11.2 (95% CI 7.1, 18.0). The calculated E-value was 21.8, meaning an unmeasured confounder would need to be associated with both unhealthy alcohol use and sudden death by 21.8-fold to explain away the observed OR. Conclusions: Unhealthy alcohol use was strongly associated with higher sudden death risk in working-age adults. Our calculated E-value indicates it is unlikely that any unmeasured confounders alone would account for the observed association. Our findings suggest that interventions to reduce unhealthy alcohol use may be an effective strategy to prevent sudden death in working-age adults. Full article

Background: Treatment-resistant obsessive–compulsive disorder (TR-OCD) remains a major therapeutic challenge. Although current guidelines recommend optimized serotonin reuptake inhibitor (SRI) therapy, clomipramine switching, exposure and response prevention, and antipsychotic augmentation, a substantial proportion of patients continue to experience severe and disabling symptoms. In such cases, clinicians may consider pharmacological intensification strategies beyond guideline-endorsed algorithms. Methods: This study combines a structured narrative synthesis of pharmacological strategies for TR-OCD with a retrospective observational case series from a tertiary OCD referral clinic. Treatment resistance was defined as failure to achieve at least a 35% reduction in Yale–Brown Obsessive Compulsive Scale (Y-BOCS) score after at least two adequate SRI trials, including clomipramine, and optimized exposure and response prevention when available. Five patients treated with pharmacological intensification strategies were included. The primary outcome was percentage change in Y-BOCS score at 12 weeks. Results: The case series illustrates five strategies used in highly refractory OCD: supratherapeutic SSRI dosing, SSRI plus mirtazapine augmentation, dual SSRI therapy, serotonergic intensification in a clozapine-treated patient, and glutamatergic/GABAergic augmentation with topiramate. Baseline Y-BOCS scores ranged from 28 to 32. At 12 weeks, symptom reduction ranged from 23% to 36%. One patient met criteria for response, three showed near-response, and one demonstrated partial improvement. No cases of serotonin toxicity or clinically significant cardiac complications occurred. Conclusions: These cases suggest that carefully monitored pharmacological intensification may be feasible in selected specialist settings, but efficacy and safety require confirmation in prospective controlled studies. Recommendations: Pharmacological intensification should be reserved for highly refractory patients managed in specialist services, implemented with gradual titration, structured serotonin toxicity and electrocardiographic monitoring, and explicit individualized risk–benefit discussion; dual SSRI therapy should be regarded as the most experimental and highest-risk serotonergic option; and prospective controlled studies incorporating standardized functional outcomes are needed to refine patient-selection criteria and clarify which patients may benefit. Full article

This study evaluates regulated deficit irrigation (IR) and post-harvest dehydration (DH) as complementary strategies to mitigate extreme thermal stress on the red grape variety Avgoustiatis during the hot 2024 vintage. Analysis of the berries reveals that while IR significantly expanded vine productivity to 2.75 kg/vine compared to 1.32 kg/vine recorded in control vines (CO), it successfully maintained berry weight (240 g). Conversely, DH induced controlled water loss, reducing berry weight to 93 g and concentrating must sugars to 27.3 ^°Brix, relative to the 23.2 ^°Brix observed in IR. Crucially, both IR and DH prevented the thermal degradation of total acidity (6.73 g/L and 7.25 g/L respectively) which caused by heat stress in CO samples (6.21 g/L). In the finished wines, both practices increased colour intensity by lowering anthocyanin extractability. However, chemical profiling clearly differentiated the treatments with DH maximized skin tannins (164.7 mg/L), yielding highly structured, astringent wines characterized by plum aromas driven by elevated nerol content (492.91 μg/L). Conversely, IR wines presented a more complex volatile profile, boosting fruity and floral notes. In conclusion, as irrigation becomes increasingly restricted by water scarcity under climate change, post-harvest dehydration offers an effective alternative for producing premium, structurally dense red wines. Full article

The rapid expansion of the global gaming industry has intensified concern about Gaming Disorder (GD), creating a need for strategies that protect player well-being while remaining feasible for industry implementation. Using a PRISMA 2020-guided systematic review method, the study synthesised evidence from 40 peer-reviewed studies published between 2015 and 2025 on responsible gaming interventions implemented by game developers, platform operators, and digital storefronts. The review identified four main strategy clusters: structural design features, behavioural tools, monetisation controls, and regulatory measures. Across the literature, some interventions, including break reminders, spending controls, adaptive warnings, and design modifications that interrupt continuous play, showed potential to reduce excessive gaming and support self-regulation. However, effectiveness was often constrained by fragmented implementation, inconsistent evaluation, jurisdictional differences, and limited evidence from low- and middle-income settings. Digital storefronts were notably underexamined despite their growing influence on access and monetisation. The findings suggest that isolated technical or behavioural measures are unlikely to be sufficient on their own. In response, this review proposes the Integrated Responsible Gaming Strategy Framework (IRGSF), which brings together ethical design, behavioural support, socio-technical coordination, and stakeholder governance to guide more coherent and sustainable approaches to GD prevention. Full article

The gut microbiota and its metabolites, as components of the gut–bone axis, play a pivotal role in regulating skeletal homeostasis through the bidirectional communication network. In this systematic review, evidence was collected from mainstream databases following standardized inclusion/exclusion criteria for screening, to comprehensively retrieve and screen eligible studies from multiple mainstream databases according to standardized inclusion and exclusion criteria, and systematically summarize current research progress on plant-derived bioactive compounds targeting the gut–bone axis for skeletal health regulation. This review systematically explores the underlying mechanisms of the gut–bone axis and critically evaluates the regulatory effects and therapeutic potential of plant-derived bioactive compounds. Particular attention is given to targeted interventions involving prebiotics, probiotics, synbiotics, and plant-rich diets or functional foods. Among these interventions, synbiotics represent the most successful strategy and show the most prominent therapeutic possibilities in bone-related disorders. Different from single prebiotics (only nourish endogenous intestinal microbes), individual probiotics (easy to be degraded in gastrointestinal tract with poor colonization) and ordinary plant-rich diets (unfixed effective dosage and weak targeting property), synbiotics combine prebiotic carriers and viable probiotic strains to produce complementary advantages, which is the core reason for its outstanding therapeutic prospect against bone diseases. Synbiotics exert synergistic effects on gut microecology, mineral absorption, and immune regulation, leading to more robust and consistent improvements in bone health than single prebiotics, probiotics, or general plant-rich diets. They have been verified in preclinical and clinical studies to ameliorate osteoporosis and related skeletal diseases via the gut–bone axis. These strategies offer novel insights into the prevention and treatment of bone metabolic disorders, such as osteoporosis, by targeting the gut–bone axis with phytochemicals. Key outcomes of this review include that synbiotics, soy isoflavones, naringin, curcumin, and resveratrol effectively improve bone mineral density, restore gut microbiota balance, and inhibit pathological bone resorption via the gut–bone axis. Collectively, the above bioactive substances realize bone protection mainly by reshaping gut flora, elevating mineral uptake and suppressing excessive osteoclast activity. Representative cases include soy isoflavones mitigating estrogen-deficient bone loss in OVX models, naringin improving the trabecular microarchitecture, and probiotic BL-11 promoting longitudinal bone growth in children. Future directions will focus on clarifying dose–response relationships, developing standardized synbiotic formulations, constructing microbiome-guided precision diets, and conducting large-sample randomized controlled trials to translate plant-derived compounds into clinical therapies. Full article

Mineral scaling on carbon electrodes remains a critical limitation to the long-term performance of capacitive deionization (CDI) systems treating hard and alkaline waters. In this study, alternating polarization (AP) is investigated as an in situ electrochemical regeneration strategy to reverse cathodic scaling in flow-through CDI treating a feed containing 5 mM NaCl, 5 mM NaHCO₃, and 2.5 mM CaCl₂ under three modes: conventional cycling (control), delayed AP introduced after fouling developed, and immediate AP implemented from the first cycle. Under conventional operation, cathodic scaling reduced the salt adsorption capacity (SAC) to 5.9 ± 0.2 mg/g, increased cathode mass from 0.208 ± 0.004 g (pristine) to 0.353 ± 0.054 g, and decreased specific capacitance to 28 ± 2 F/g, accompanied by extensive pore blockage and carbonate deposition observed by SEM and BET measurements. Application of delayed AP restored electrode functionality, increasing SAC to 8.9 ± 0.6 mg/g and specific capacitance to 56 ± 2 F/g while reducing the cathode mass to 0.212 ± 0.007 g and removing surface precipitates. The immediate AP operation reduced the extent of scale formation from cycle 1, maintaining SAC at 8.4 ± 0.2 mg/g throughout operation, with stable physical and electrochemical properties. These improvements are attributed to periodic polarity reversal, which induces alternating alkaline and acidic microenvironments at the electrode surface and promotes the electrochemical dissolution of carbonate phases during anodic polarization. Overall, this work establishes AP as a simple, chemical-free operational strategy for both preventing and reversing cathodic mineral scaling, thereby enabling sustained CDI performance and mitigating capacity loss over the tested operational periods in complex water matrices. Full article