Search Results (216)

With the continuously increasing proportion of renewable energy integration, the structure of power grid networks has become increasingly complex. Under extreme weather conditions such as typhoons and hail, faults like line breaks or information disruptions can occur in the power grid, imposing significant burdens and risks on the economic and reliable operation of the power system. However, existing methods still focus on the allocation of human repair teams, with insufficient utilization of flexible resources within the system, resulting in low efficiency in restoring power supply to the power system. To address this challenge, this paper proposes a resilience enhancement strategy for the power system under typhoon scenarios. It leverages active resources on the grid side and fully exploits the flexibility of both the supply and demand sides to enhance the resilience of the power system. Firstly, this paper aims at the economic operation of the power system, taking into account the physical and operational constraints of both the supply and demand sides, including power flow constraints, mobile energy storage system (MESS) transfer constraints, and phase-shifting transformer (PST) regulation constraints. Meanwhile, an improved grasshopper optimization algorithm is introduced to achieve efficient and rapid problem-solving. Finally, the effectiveness and feasibility of the proposed method are demonstrated through validation using an improved IEEE-33 bus test system. Through analysis, the total system load loss was reduced by 75.6%, with the maximum load loss during the typhoon decreasing by 72.4%. The approach enables real-time response to the dynamic impacts of typhoons, swiftly stabilizes load fluctuations, and significantly enhances the resilience of the power system. Full article

Water structures play a vital role in regulating irrigation water within open-channel networks by controlling discharge, water levels, flow direction, and velocity. Despite their importance, these structures act as hydraulic obstructions that induce flow disturbances, which may reduce hydraulic efficiency and threaten structural integrity. One of the most critical consequences is localized erosion downstream, posing serious risks to structural safety and long-term performance. From a sustainability perspective, maintaining structural stability and hydraulic efficiency is essential to ensure reliable water delivery, minimize maintenance costs, and extend the service life of irrigation structures. Therefore, mitigating such adverse hydraulic effects is a key component of sustainable water resources management. This study aims to investigate the mechanisms responsible for this phenomenon and propose engineering solutions to reduce its impacts. The geometry of upstream wing walls significantly influences flow behavior both through and downstream of the structure. Additionally, irrigation canals are constructed with varying side slopes depending on soil conditions, which further affect flow characteristics. However, the combined effect of different upstream wing wall configurations and canal inside slopes has not been sufficiently addressed. Accordingly, this research evaluates their integrated impact to support the development of more efficient, resilient, and sustainable irrigation structures. A total of 435 laboratory experiments were conducted using a physical model under varying discharge conditions. Common canal inside slopes were tested with four widely used wing wall types. Scour hole geometry, including depth, length, and shape, was measured and analyzed. Results indicate that the splayed wing wall configuration outperforms the box type, reducing maximum scour depth and length by approximately 22.74% and 23.61%, respectively, when combined with a 1:1 canal inside slope. Additionally, new dimensionless empirical equations were developed to predict downstream scour behavior, providing practical tools for selecting optimal wing wall configurations under different canal conditions. Full article

The persistence of greenwashing as a strategic corporate behavior reflects a financial tradeoff between risk and return. Current literature lacks an integrative framework explaining how these risks and institutional arrangements vary across distinct contexts. This study maps the intellectual structure and contextual heterogeneity of corporate greenwashing research through a bibliometric analysis of 818 publications indexed in the Web of Science Core Collection from 2000 to 2025. The results indicate an evolutionary shift in research focus from early ethical and reputational debates toward empirical investigations of capital market consequences, ESG controversies, and the dark side of corporate sustainability. This transition is accompanied by thematic movement from voluntary disclosure and legitimacy concerns toward mandatory compliance, sustainable finance, green bond pricing, and digital detection using artificial intelligence and natural language processing. The analysis reveals substantial structural heterogeneity. Heavy-asset industries are closely associated with technological decoupling under physical and compliance constraints, whereas financial and service sectors rely heavily on information asymmetry, green label arbitrage, and greenhushing. These sectoral patterns intersect with regional governance trajectories shaped by market-driven, regulation-oriented, and state-led contexts, generating distinct incentive structures and risk conditions, while firm-level governance further moderates these behaviors. The findings position greenwashing as a context-dependent corporate strategy and provide a structured synthesis for future research and differentiated regulatory responses. Full article

High power servers are accelerating adoption of cold plate liquid cooling in data centers, but control-chain latency and thermal inertia can delay regulation after load changes and trigger transient swings that threaten temperature stability. This study develops a delay-aware Modelica model for a liquid cooled data center and validates it against measured operating conditions. To compare control options, a standardized percentage step-test protocol is proposed with three indicators—dynamic response time, dynamic fluctuation amplitude, and dynamic fluctuation ratio. Step-response simulations evaluate three single actuator strategies (constant differential pressure valve control, primary side variable flow pumping, and cooling tower outlet temperature control), and a combined condition database is built for coordinated pump–fan control with operating-point matching. Valve control responds fastest (38.3–41.3 s) but produces the largest fluctuations; variable flow pumping is smoother with response times of 44.2–72.9 s; and cooling tower temperature control is most stable but slowest (684–826 s). The optimized combined strategy reallocates control authority across operating conditions, reducing response time from 688.3 s to 73.7 s and lowering dynamic temperature swing risk by up to 1.3 °C. These results support load-responsive, plant-level transient-safe operation of liquid-cooled data-center cooling plants, particularly for secondary-side supply temperature control. Full article

Estrogen deficiency is an established risk factor for menopausal brain dysfunctions in women. Urgent exploration of drugs is needed to improve estrogen deficiency-related brain dysfunctions without the side effects of estrogen supplements. Three-month-old rats had bilateral ovariectomy (OVX) performed and were treated with emodin (EMO, 80 mg/kg/day) and 17 β-estradiol (EST, 0.5 mg/kg/day). Brain functions were evaluated by cognition and emotion-related behavioral tests. Levels of glucagon-like peptide-1 (GLP-1) and estrogen in blood, mRNA levels of estrogen receptor (ER) α, ERβ, GLP-1 receptor (GLP-1R), proprotein convertase subtilisin/kexin type 1 (PCSK1) and proglucagon (proGCG) in intestinal segments, and brain ERα and GLP-1R levels were evaluated. Contractions of isolated intestinal segments were recorded. Additionally, an ERβ antagonist, PHTPP (200 μg/kg/day), was used to clarify the role of ERβ. EST and EMO significantly ameliorated cognition deficit and depressive behaviors in OVX rats, and reduced neuronal loss and synaptic abnormalities in the hippocampus and prefrontal cortex. The blood GLP-1 levels of sham operation rats (sham, 3.09 pg/mL), EMO-treated (2.57 pg/mL) and EST-treated OVX rats (2.64 pg/mL), were higher than that of OVX rats (1.03 pg/mL). EMO had no effect on the blood estrogen level. Furthermore, EMO up-regulated mRNA levels of ERβ in ileum, colon, and cerebral GLP-1R level, while EST increased mRNA levels of ERβ in colon and cerebral ERα level. In vitro intestinal segment spontaneous contraction tests revealed that EMO reduced contraction amplitudes in isolated intestinal segments from OVX rats, with the ileum and proximal colon showing greater sensitivity to EMO. The ileum and colon segments from OVX rats were less sensitive to EST as compared to those of normal rats. Upon PHTPP intervention, the up-regulated intestinal mRNA levels of ERβ, PCSK1, proGCG, blood GLP-1 level by EMO, and the beneficial effects of EMO in abnormal behaviors of OVX rats were significantly inhibited. Overall, it was found that EMO up-regulated blood GLP-1 level via intestinal Erβ-dependent mechanism and increased brain GLP-1R level, which may be involved in the neuroprotection of EMO in OVX animals. Full article

In flexible DC transmission and AC-DC interconnection systems, the Self-Adaption Station and Line Commutation Converter (SLCC) integrates static var compensation with conventional thyristor conversion functionality. This enables dynamic reactive power support at the valve side while improving commutation conditions, thereby enhancing the voltage support capability and operational robustness of DC systems. Under high renewable energy penetration, power fluctuations and sudden ramping challenges principal–slave controlled SLCC DC interconnection systems with a trade-off between principal-side DC voltage regulation and capacity margin constraints: Disturbance-induced active power demands may exceed available margins, causing DC voltage deviations and increasing protection trip risks. Leveraging the active/reactive decoupling characteristics of the SLCC topology, this paper proposes a principal–slave coordinated control strategy that accounts for principal station capacity margins. Methodologically, capacity margins are explicitly embedded into the principal station control mode. By reconstructing key variables in the DC voltage outer loop and introducing a closed-loop suppression mechanism with “over-capacity power” as feedback, the principal station maintains continuous voltage regulation while avoiding entry into over-capacity operation zones. On the slave side, a power support mechanism is designed to coordinate regulation among generation, storage, and load under power balance and equipment capacity constraints. This coordination process is formulated as a multi-objective optimization problem balancing disturbance economic losses with generation/storage utilization, solved using NSGA-II. Simulation results demonstrate that this strategy suppresses the risk of principle station overcapacity, enhances power sharing coordination during disturbance conditions, and improves DC voltage dynamic performance. Full article

Background/Objectives: Immunosuppression is a serious side effect of chemotherapeutic agents such as cyclophosphamide (CTX) and significantly increases the risk of infection in patients. Porcupine (Hystrix brachyura) bezoar (PB), a traditional medicine derived from the Hystrix brachyura species of porcupine, is renowned for its antioxidant and anti-inflammatory properties. However, its immunomodulatory potential has not been adequately investigated. This study aimed to systematically evaluate the protective effects of PB against CTX-induced immunosuppression and the underlying mechanisms in a rat model. Methods: An immunosuppression model was established in rats through the injection of CTX. The effects of PB on immune function were evaluated through the measurement of serum immunoglobulin (IgA and IgG) and pro-inflammatory cytokine (IL-6 and TNF-α) levels, as well as through a histopathological examination of immune organs. The mechanisms were further elucidated by analysing changes in serum metabolites and gut microbiota composition using integrated metabolomics and 16S rRNA sequencing. Results: Treatment with PB significantly alleviated CTX-induced immunosuppression, as demonstrated by elevated serum levels of IgA and IgG and reduced concentrations of IL-6 and TNF-α. PB also improved the architecture of spleen and thymus tissues. Metabolomic analysis revealed that PB regulated glycerophospholipid metabolism and steroid hormone biosynthesis, thereby reducing pro-inflammatory metabolites such as prostaglandin F2α. Furthermore, PB modulated the gut microbiota, increasing the abundance of beneficial bacteria (e.g., Bacteroidota and Lachnospiraceae) and decreasing that of harmful bacteria (e.g., Romboutsia and Clostridium sensu stricto). Conclusions: This study demonstrates that PB can effectively counteract CTX-induced immunosuppression in rats. This immunomodulatory effect is linked to changes in the gut microbiota and the regulation of specific metabolic pathways. These findings provide a scientific basis for the potential use of PB as an immunoadjuvant therapy, offering new insights into the mechanisms of traditional medicines. Full article

Epilepsy affects more than 50 million individuals worldwide, and approximately one-third of patients remain refractory to existing antiseizure medications. Advances in gene therapy and genome editing have opened new possibilities for disease-modifying interventions that directly target the molecular and circuit-level mechanisms underlying epileptogenesis. Recent progress in central nervous system tropic viral vectors, non-viral delivery systems, and programmable genome-editing technologies has enabled precise manipulation of neuronal and glial function in preclinical epilepsy models. Strategies range from restoration of haploinsufficient genes implicated in monogenic epilepsies, such as SCN1A in Dravet syndrome, to modulation of neuronal excitability through engineered ion channels, neuropeptides, and astrocyte-based approaches. In parallel, CRISPR-derived platforms, including transcriptional activation and repression systems, base editing, and prime editing, offer new avenues for regulating gene expression in post-mitotic neurons without introducing double-strand DNA breaks. Despite these advances, significant translational challenges remain, including efficient and cell-type-specific delivery, long-term safety, and the risk of network-level side effects in the epileptic brain. This review critically examines recent gene therapy and genome-editing approaches for epilepsy, highlights key technological and biological barriers to clinical translation, and discusses emerging strategies that may enable durable and targeted treatments for drug-resistant epilepsies. Full article

The health risks associated with excessive alcohol consumption have emerged as a public health challenge, with alcohol-associated liver disease (ALD) and hyperuricemia (HUA) being particularly prominent health issues. Current treatments often have side effects, driving the need for safe, multi-target natural alternatives. Based on the dual barrier strategy of “metabolic regulation–antioxidant defense”, this study developed bioactive peptides from corn germ meal via enzymatic hydrolysis, which simultaneously activated alcohol dehydrogenase (ADH), inhibited xanthine oxidase (XOD), and exhibited antioxidative properties. The fraction <3 kDa emerged with stronger triple bioactivity while also demonstrating sensitivity to strong acids and enhanced activity under trypsin treatment in in vitro stability tests. A total of 841 unique peptides were obtained from purified peptide fractions. After computer-aided screening and molecular docking, three corn-derived peptides (LMFP, FEGLFR, and QLPSYR) were identified, which acted synergistically. Docking simulations revealed that they bind to ADH and XOD via hydrogen bonds and hydrophobic interactions, suggesting potential interactions with these enzymes that may influence their activity. The corn-derived bioactive peptides developed in this study may serve as potential resources for alleviating alcohol metabolism and hyperuricemia symptoms. Full article

Climate change and growing water scarcity necessitate that irrigation districts allocate limited water resources more efficiently, with explicit consideration of multi-source uncertainties. To maximize the effective utilization coefficient of irrigation water, an uncertainty-informed optimization and dynamic regulation framework for agricultural water allocation (UODRA) was developed. The framework quantifies and characterizes uncertainties arising from meteorological forcings, soil heterogeneity, irrigation practices, and water losses during conveyance and field application. The fractional programming model derived therefrom is solved via Dinkelbach’s algorithm, and Monte Carlo simulation is adopted in a reduced scenario space to propagate the dominant uncertainty drivers and assess the distribution characteristics of outcomes and associated risks. A case study was conducted in the Fendong Irrigation District to evaluate three water supply scenarios. The results indicate that with sufficient water supply and diminishing marginal returns, the effective utilization coefficient of irrigation water increases accordingly. Uncertainty mainly exerts an impact on the degree of dispersion and downside risks rather than at the average level. Sensitivity analysis shows that efficiency-related perturbations are the primary drivers of output variability, and their impacts are greater than those of supply-side perturbations and demand-side variation in simulated irrigation demand. Further technical comparison reveals that the adoption of high-efficiency irrigation can significantly improve the performance at the regional level: under drip irrigation conditions, the efficiency reaches 0.614, while that of sprinkler irrigation is 0.499, with a simultaneous improvement in operational stability. Overall, UODRA provides a quantitative decision support method for robust irrigation water resource allocation and adaptive management under uncertain conditions. Full article

Plexiform neurofibromas associated with neurofibromatosis type I (pNF1s) are benign tumors caused by the complete loss of function of the NF1 gene, which encodes a negative regulator of the RAS/mitogen-activated protein kinase (MAPK) pathway. pNF1s carry a significant risk of progression to malignant peripheral nerve sheath tumors (MPNSTs), which are highly aggressive and largely incurable. FDA-approved mitogen-activated protein kinase kinase (MEK) inhibitors, selumetinib and mirdametinib, have shown ~30% tumor shrinkage in 70% and 42% pNF1 patients, respectively. However, not all pNF1s respond to MEK inhibition, and treatment is often associated with adverse effects such as dermatologic and gastrointestinal toxicities, underscoring the need for improved therapeutic strategies with minimal side effects. Here, we demonstrate that prolonged MEK inhibition increases proteolytic activity in 3D pNF1 tumor structures, consistent with enhanced extracellular matrix degradation. Prolonged treatment with four mechanistically and chemically distinct MEK inhibitors consistently reduced ERK phosphorylation, a downstream effector of the RAS/MAPK pathway, yet induced adaptive phosphorylation of MEK and AKT in pNF1 tumor cells. Phosphorylation of MEK is required for its catalytic activation and subsequent phosphorylation of ERK. Increased MEK phosphorylation in the presence of MEK inhibitors reflects upstream pathway reactivation but does not lead to ERK phosphorylation and activation because of the presence of the inhibitor. This response was also observed in MPNST cell lines treated with MEK inhibitors. These findings suggest that adaptive activation of upstream and parallel survival pathways may counteract the intended effects of MEK inhibition and support the rationale for combination strategies to improve therapeutic outcomes in NF1-associated tumors. Full article

Background: In recent years, aesthetic medicine and cosmetic surgery have seen significant growth, reflecting changing sociocultural views on beauty and self-care; however, public knowledge and awareness of associated risks remain inconsistent. This study aimed to assess knowledge, attitudes, and behaviours toward aesthetic medicine and cosmetic surgery in a large metropolitan population in Southern Italy using the Knowledge–Attitude–Practice (KAP) framework. Methods: A cross-sectional survey was conducted between June 2021 and January 2022 among 1079 adults aged 18–72 years residing in the metropolitan area of Naples. A structured questionnaire collected socio-demographic data and assessed knowledge, attitudes, and behaviours related to surgical and non-surgical aesthetic procedures. Descriptive statistics and multiple linear regression analyses were performed to identify predictors of knowledge, attitudes, and behaviours. Results: Overall, 66.8% of participants reported having undergone general beauty treatments, while 9.8% declared the use of cosmetic medicine procedures. A total of 5.1% had undergone botulinum toxin treatments, 11% reported filler injections, and 9.8% had experienced plastic surgery. A majority had strong knowledge, especially on non-surgical procedures, but there were gaps in their knowledge on side effects, regulations, age limits, and qualifications. Most viewed appearance as important, though with critical views of excessive aesthetic treatments and claimed limited social media influence. Female sex and parental status were positively associated with aesthetic behaviours, while attitudes emerged as the strongest predictor of engagement. Conclusions: Aesthetic practices are widely accepted within this urban population, yet important informational deficiencies persist. Targeted educational interventions based on the KAP framework are warranted to enhance health literacy, promote safe decision-making, and foster realistic expectations regarding aesthetic medicine and cosmetic surgery. Full article

For nations heavily dependent on fossil-fuel exports, hydrogen is emerging as a promising solution to reduce carbon emissions while preserving economic stability and promoting countries’ energy independence. This research study examines hydrogen potential as a renewable energy source to facilitate the transition toward a sustainable economy with a special focus on Middle East and North Africa (MENA) countries. The analysis delves into policy frameworks, technological advancements, and infrastructure adaptations to build a reliable green hydrogen supply chain for a scalable and bankable future. The role played by other renewable energies like solar and wind, together with the risk related to the high demand for water resources to achieve the green hydrogen transition, has also been assessed. Furthermore, key challenges have been highlighted, including the repurposing of the existing pipelines into the energy networks, public–private partnerships to secure investment, and legislation requirements to encourage the adoption of novel hydrogen applications. In order to do that, a SWOT-PESTEL analysis has been carried out to identify the main decarbonization strategies for achieving a replicable framework. Moreover, a multi-criteria decision analysis was performed, applying 11 indicators across supply-side (e.g., solar/wind potential, LCOE, and water stress), demand-pull/logistics (e.g., maritime connectivity, steel production, and LNG export capacity), and risk/regulation dimensions (e.g., governance effectiveness, regulatory quality, and fossil rent dependence). The Analytic Hierarchy Process (AHP) was used for weighting, the entropy method for weighting variability (hybrid 50/50 combined weights), min–max normalization for costs, 5% Winsorization for outliers, and TOPSIS for aggregation following OECD-JRC composite indicator guidelines. Results have been validated through a multiple scenario analysis (base, supply-led, and risk-aware) and sensitivity testing via Dirichlet bootstrapping (5000 iterations) with ±20% weight perturbations. Six countries of the MENA region have been studied. The multi-criteria decision analysis outcomes rank Egypt (composite score 0.518), Algeria (0.482), and Oman (0.479) as the most suitable countries for large-scale green hydrogen and ammonia production/export, while Saudi Arabia, Qatar, and Kuwait achieved lower supply scores in the base case due to higher perceived risks. Full article

This study investigates the spatial exposure of Brazil’s Legal Amazon (BLA) as the deforestation frontier, operationalized as Brazil’s legally defined Amazon Legal administrative region, in Brazil’s commodity exports to its two largest partners: the European Union (EU) and China. Focusing on agricultural, forestry and mining commodity groups, a destination-specific Relative Concentration Ratio (RCR) and Compound Annual Growth Rate (CAGR) on physical trade data (2002–2024) were used to examine whether contrasting trade governance logics—the regulatory “Brussels Effect” and the scale-driven “Beijing Effect”—are associated with different sourcing geographies from the BLA frontier. We test three competing expectations: EU spatial avoidance, higher Chinese frontier dependence, and compliance-driven consolidation. The results reveal a counterintuitive paradox: despite stricter sustainability governance, the EU displays persistently higher frontier dependence than China in key commodity groups, with RCR trajectories indicating stabilization rather than spatial avoidance. In contrast, China’s frontier dependence declines over time in selected sectors even as import volumes expand substantially, highlighting that changes in frontier exposure cannot be inferred from trade scale alone. CAGR patterns further show strong growth in China-related trade at the national level across commodity groups, alongside sector-specific frontier dynamics within BLA. Overall, the findings provide the strongest support for the consolidation hypothesis: compliance and traceability requirements—public and private—may concentrate EU-linked sourcing among highly auditable, capitalized producers embedded in established frontier zones. These results imply that without explicit spatial targeting, demand-side regulations such as the EUDR may improve product-level assurances yet fail to induce a geographic shift away from deforestation frontiers, potentially reinforcing trade links with established producers in high-risk regions. Full article

To mitigate the threat posed by accumulated gob water to underlying coal seams during multi-seam mining, this study investigates the mechanism of water inrush induced by repeated mining and its control through roof cutting pressure relief. The 31110 panel of the Holowan Coal Mine is taken as an engineering case, where the 3⁻¹ coal seam is threatened by gob water from the overlying 2⁻² coal seam. The mechanisms of interlayer rock mass damage accumulation, fracture interconnection, and water-conducting channel formation were systematically analyzed using a combination of theoretical analysis, numerical simulation, and field tests. The results indicate that the superimposed mining-induced failure zones of the upper and lower coal seams significantly exceed the interlayer spacing of 46.5 m. This condition promotes through-going damage of the interlayer strata and facilitates the downward migration of gob water. Without roof cutting, the main roof fractures toward the solid coal side of the 31110 auxiliary headgate, resulting in full connectivity of the overburden plastic zones and the formation of a continuous water-conducting channel. Roof cutting pressure relief, achieved by pre-inducing artificial weak planes, effectively guides roof fracturing toward the gob side, alleviates stress concentration on the solid coal side, and suppresses the expansion of interlayer damage. When the roof cutting height exceeds 35 m, plastic connectivity between the water-resisting coal pillar and the underlying mining-induced damage zone is interrupted, preserving the integrity of the key aquiclude. Field application of directional hydraulic fracturing roof cutting confirms the formation of continuous weakened fracture planes and controlled roof caving along the designed trajectory. The overburden caving angle increases from 70° to approximately 90°, effectively blocking water-conducting pathways and eliminating the risk of gob water inrush. These findings not only deepen the understanding of water inrush mechanisms under repeated mining disturbances but also establish a proactive fracture-regulation framework for gob water hazard control, providing broadly applicable design criteria and technical references for safe and efficient multi-seam mining in water-threatened coalfields. Full article