Search Results (10,431)

Understanding how groundwater storage responds to extreme precipitation is essential for assessing aquifer resilience under climate variability. In this study, we developed a 1 km groundwater storage anomaly (GWSA) dataset for the Baiyangdian Watershed from 2002 to 2024 by downscaling GRACE observations with a Light Gradient Boosting Machine (LightGBM) model. The downscaled GWSA showed good consistency with independent hydrological datasets, including GLDAS and groundwater-level anomalies. Based on the downscaled product, we characterized long-term groundwater changes and quantified GWSA responses to extreme precipitation events (EPEs). Groundwater storage exhibited three distinct phases: rapid depletion before 2014 (−1.35 cm/yr), a slower decline during 2014–2019 (−1.04 cm/yr), and marked recovery after 2020 (+3.45 cm/yr). Spatially, GWSA generally increased from the southwest to the northeast of the watershed. Composite analysis of 11 EPEs revealed a delayed groundwater response, with the strongest signal occurring approximately two months after precipitation. Monthly effective precipitation was more closely associated with GWSA recovery than short-duration daily precipitation extremes, and the response was stronger in plains than in mountainous areas. These findings indicate that EPEs provide episodic recharge pulses, while sustained groundwater recovery depends on cumulative climatic inputs and human water-management influences. Full article

Seasonal hydrology reshapes large-river food webs by altering habitat connectivity and basal resource availability. Trophic baselines from before the 2021 Yangtze ten-year fishing ban are now valuable because monitoring has shifted from fish abundance alone toward food-web function and ecological recovery. We analysed carbon (δ¹³C) and nitrogen (δ¹⁵N) stable isotopes of fish and the baseline bivalve Corbicula fluminea collected in March (dry season) and August (wet season) 2016 from the Jingjiang section of the lower Yangtze River. In the dry season, 100 individuals of 27 species were analysed; species mean δ¹³C ranged from −30.52‰ (Micropercops swinhonis) to −21.19‰ (Aristichthys nobilis) and δ¹⁵N from 6.30‰ (Hypophthalmichthys molitrix) to 14.90‰ (Lophiogobius ocellicauda). In the wet season, 187 individuals of 47 species were analysed; species mean δ¹³C ranged from −32.07‰ (Pseudobrama simoni) to −20.84‰ (Salanx ariakensis) and δ¹⁵N from 6.27‰ (Misgurnus anguillicaudatus) to 14.87‰ (Saurogobio gymnocheilus). Among 24 shared species, δ¹³C differed significantly between seasons (paired t = 4.30, p < 0.001), but δ¹⁵N did not (t = 1.52, p = 0.143). Mean trophic level fell from 3.07 to 2.74 (t = 3.85, p < 0.001). This decline remained significant in a trophic-enrichment-factor sensitivity analysis using 2.5–4.0‰. Community-wide carbon range (CR), nitrogen range (NR), total convex-hull area (TA), mean nearest-neighbour distance (NND), and the standard deviation of nearest-neighbour distance (SDNND) showed larger wet-season CR (9.08 vs. 7.51), slightly larger NR, TA and NND, and lower SDNND. Seasonal hydrology thus mainly altered basal carbon pathways and relative trophic positions rather than reorganising feeding guilds. The dataset provides a pre-ban isotopic baseline for assessing whether post-ban recovery in the lower Yangtze includes restoration of trophic structure and energy-flow pathways. Full article

Background: Post-stroke spasticity is a frequent and disabling consequence of stroke, including when affecting the lower limbs, where it may impair stance, gait, balance, postural control, functional independence and quality of life. Botulinum toxin type A (BoNT-A) is widely used as a focal neuromodulatory treatment for post-stroke spasticity. However, the relationship between BoNT-A-induced reduction in muscle hypertonia, objective changes in spastic muscle’s biomechanical properties, and functional outcomes such as mobility and balance remains insufficiently clarified. This systematic review aimed to synthesize recent evidence regarding the non-invasive assessment of spastic muscle properties following BoNT-A administration in post-stroke patients, with emphasis on mobility and balance outcomes. Methods: A systematic literature review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The search was performed in international electronic databases and included studies published between 1 January 2023 and 31 December 2025. The search strategy used specific keywords and keyword combinations/syntaxes, contextually, related to the topic of interest. Results: A total of 32 studies met the eligibility criteria and were included in the final data analysis and synthesis, comprising 13 primary clinical studies—6 randomized or controlled interventional studies and 7 observational studies—together with 12 reviews or evidence syntheses, 3 technical or clinical framework papers, and 4 survey, epidemiological, health-services or health-economic studies. Overall, the included articles addressed BoNT-A treatment in post-stroke spasticity, with partial focus on muscle properties, gait, mobility, and functional outcomes. However, only a limited number of studies investigated objective non-invasive assessment methods, and few directly related muscle-property changes in balance and mobility outcomes. Formal risk-of-bias assessment and quantitative synthesis were not performed because of the substantial heterogeneity of the included evidence, with only two studies being potentially suitable for pooling and these addressing different muscle groups, interventions, and outcome domains. Discussion and Conclusions: The reviewed literature confirms the clinical relevance of BoNT-A in the management of post-stroke spasticity. However, most studies assess treatment effects mainly through clinical scales, while objective evaluation of muscle stiffness, elasticity, viscoelastic properties, and their relationship with mobility and balance remains limited. Although some studies address gait, functional recovery, or muscle-related changes, the combined use of BoNT-A treatment, myotonometric assessment, and proprioceptive–stabilometric evaluation is largely absent. Therefore, current evidence highlights an important research gap and supports the need for future longitudinal studies integrating non-invasive biomechanical and balance assessment tools to better monitor treatment response and guide individualized neurorehabilitation in post-stroke patients. Full article

Tear film instability and dry eye disease (DED) are among the most common postoperative complaints after anterior segment surgery. Cataract surgery, corneal refractive procedures, keratoplasty, glaucoma filtration surgery, and pterygium excision can all disrupt ocular surface homeostasis through mechanisms that include corneal denervation, inflammation, goblet cell loss, and meibomian gland dysfunction. The severity and duration of postoperative dry eye vary substantially according to the surgical procedure performed. This review summarises current evidence on the pathophysiology, clinical manifestations, objective tear film changes, and recovery patterns following major anterior segment interventions. Particular emphasis is placed on standardised, non-invasive assessment methods, including tear breakup time, tear meniscus height, meibography, and validated symptom questionnaires. Procedure-specific recovery trajectories are compared to distinguish transient postoperative tear film instability from persistent chronic dry eye disease. Evidence-based management strategies, including preoperative risk stratification, intraoperative optimisation, and multimodal postoperative therapy, are also reviewed. Understanding these distinct recovery patterns may improve surgical planning, patient counselling, early intervention, visual outcomes, and patient satisfaction. Full article

Background: Postoperative bowel dysfunction, including delayed gastrointestinal recovery and postoperative ileus, is a common complication that increases morbidity and prolongs hospitalization. In this systematic review and meta-analysis, we evaluated the effects of manual therapies on postoperative bowel function. Methods: MEDLINE/PubMed, Google Scholar, the Cochrane Library, Semantic Scholar, and ClinicalTrials.gov were searched from database inception up to 17 March 2026, and studies evaluating osteopathic manipulative treatment (OMT) or abdominal massage in postoperative patients were included in our analysis. Risk of bias and certainty were assessed using validated study design-specific tools, including the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) framework. Random-effects meta-analyses were performed for the prespecified outcomes of time to first bowel movement, time to first flatus, and hospital length of stay. Results: Seventeen studies met our inclusion criteria. Both OMT and abdominal massage were associated with a significantly shorter time to first bowel movement compared with controls (OMT: mean difference [MD] −0.57 days, 95% CI −0.96 to −0.18; abdominal massage: MD −0.91 days, 95% CI −1.47 to −0.35). OMT was also associated with reduced hospital length of stay (MD −2.46 days, 95% CI −4.52 to −0.41), while time to first flatus demonstrated favorable but non-significant trends, with substantial heterogeneity. Conclusions: Manual therapy may be associated with earlier postoperative bowel recovery, although heterogeneity and methodological limitations warrant cautious interpretation. Further high-quality multicenter studies are needed to clarify the clinical significance and reproducibility of these findings. Full article

With the development of the socio-economic landscape and the increasing demand for urban power supply, user expectations for power supply reliability have risen significantly. To address this challenge, dual-petal distribution networks, characterized by multiple tie-line structures and inter-regional load transfer paths, have significantly enhanced fault recovery capability and are gradually replacing traditional radial configurations as a key form of modern distribution systems. However, their multi-regional coupling characteristics introduce complex issues such as dynamic changes in load transfer paths and islanded operation, resulting in significant limitations in the accuracy and adaptability of existing reliability assessment methods. To this end, this paper proposes an analytical method for calculating reliability indices of dual-petal distribution networks, considering the characteristics of load transfer zones. First, typical operation modes of dual-petal distribution networks are extracted, and a time-sequential component reliability analysis model is established. Second, a load transfer zone matrix is constructed based on the impact of distribution network faults on load nodes across different regions. Third, based on the fault ride-through capability of distributed generation (DG), a load restoration strategy considering load transfer zone characteristics is formulated, and the DG Island Recovery Matrix (DGIRM) is derived. Finally, by performing algebraic operations among various matrices and reliability parameter vectors, an explicit analytical calculation of reliability indices for dual-petal distribution networks with different DG configurations is achieved. The effectiveness of the proposed method is validated using a typical dual-petal network. The results demonstrate that the proposed method offers high computational efficiency and accuracy, effectively quantifying the impact of DG on the power supply reliability of dual-petal distribution networks, and providing theoretical and methodological support for the reliability assessment and planning of complex distribution systems. Full article

Background/Objectives: Intraoperative oliguria has long been considered a marker of impaired renal perfusion, but its prognostic value for postoperative acute kidney injury (AKI) remains controversial, particularly within Enhanced Recovery After Surgery (ERAS) protocols. We investigated the association between intraoperative oliguria and postoperative AKI in patients undergoing major hepatobiliary and pancreatic surgery within an ERAS protocol. Methods: Patients who underwent major hepatobiliary and pancreatic surgery within an institutional ERAS protocol were retrospectively analyzed. Intraoperative oliguria was defined as urine output < 0.3 mL kg⁻¹ h⁻¹. Postoperative AKI was defined according to the KDIGO serum creatinine criterion within 7 days after surgery. The association was assessed using multivariable logistic regression and sensitivity analyses were performed using an alternative oliguria threshold of <0.5 mL kg⁻¹ h⁻¹ and incorporating additional surgical covariates. Results: Among 816 patients, intraoperative oliguria occurred in 51 (6.3%), and postoperative AKI developed in 60 (7.4%). AKI incidence did not differ between the oliguria and non-oliguria groups (11.8% vs. 7.1%, p = 0.332), and median intraoperative urine output was comparable between the AKI and non-AKI groups (0.7 [0.5–1.1] vs. 0.8 [0.6–1.4] mL kg⁻¹ h⁻¹, p = 0.069). In multivariable analysis, intraoperative oliguria was not independently associated with AKI (OR 1.68, 95% CI 0.60–4.01; p = 0.276). Oral carbohydrate loading, thoracic epidural analgesia, and total intraoperative fluid volume were not associated with AKI. Results were consistent across both sensitivity analyses. Conclusions: In patients undergoing hepatobiliary and pancreatic surgery within the ERAS protocol, intraoperative oliguria was not associated with postoperative AKI, although modest association cannot be excluded given the limited number of AKI and oliguria events. These findings suggest that intraoperative urine output alone may not be a reliable indication for additional fluid administration, and larger prospective studies are needed to confirm this. Full article

Enhanced Recovery After Surgery (ERAS) pathways have improved perioperative outcomes by standardizing evidence-based interventions across the surgical continuum. However, substantial variability in postoperative recovery persists, even within well-implemented ERAS programs. This heterogeneity reflects differences in clinical risk, functional reserve, biological response to surgical stress, treatment responsiveness, and contextual factors that are not fully captured by uniform protocols. Precision medicine provides a potential framework for refining ERAS by integrating patient-specific data into perioperative risk assessment, intervention selection, patient monitoring, and recovery planning. Nevertheless, most precision medicine tools remain insufficiently validated for routine ERAS implementation, and their clinical utility is limited by heterogeneous evidence, data integration challenges, costs, workflow complexity, and equity concerns. Future progress will require prospective validation, pragmatic implementation studies, interoperable data systems, and evaluation of patient-centered outcomes. This narrative review examines the emerging role of precision medicine tools in perioperative practice and proposes an idealized conceptual model of “precision ERAS” in which standardized evidence-based care is preserved as the foundation, while selected interventions are adapted according to individual risk, biological phenotype, and recovery trajectory. Full article

Semantic communication has emerged as a promising paradigm for next-generation wireless networks, offering substantial efficiency gains by prioritizing the transmission of task-relevant meaning over bit-level accuracy. However, while its benefits in bandwidth reduction and intelligent data representation are well established, its potential to provide intrinsic reconstruction resistance without relying on conventional cryptographic mechanisms remains largely unexplored. This paper investigates whether semantic communication system architectures themselves can contribute to intrinsic reconstruction resistance for image transmission. We propose an autoencoder-based semantic communication framework in which images are encoded into latent representations and transmitted over a wireless channel, with decoding performed using architecture-specific neural networks. Unlike traditional secure communication approaches that depend on encryption, the proposed method leverages architectural uniqueness and representation-level abstraction to limit unauthorized reconstruction. To systematically analyze this, we evaluate eight adversarial scenarios encompassing variations in encoder–decoder architecture and initialization, including both matched (worst-case) and maximum mismatched (best-case) conditions. The system is modeled using a standard Alice–Bob–Mallory framework, where an adversary attempts to reconstruct intercepted semantic representations without full architectural knowledge. Performance is evaluated using peak signal-to-noise ratio (PSNR) and structural similarity index measure (SSIM) for reconstruction quality, alongside semantic accuracy measured via a convolutional neural network (CNN)-based classifier and embedding cosine similarity to assess information leakage. Experimental results demonstrate that architectural mismatches substantially degrade both visual reconstruction and semantic interpretability for unauthorized receivers, while matched configurations enable substantial recovery. It is important to emphasise that the proposed approach does not provide cryptographic confidentiality; rather, it offers architecture-dependent resistance to unauthorised semantic reconstruction under restricted adversarial assumptions. Overall, the results show that semantic communication systems can exhibit intrinsic reconstruction resistance through architecture-dependent latent-space organisation, reducing reliance on additional cryptographic overhead under restricted adversarial assumptions, while also highlighting limitations when adversaries possess full architectural and initialisation knowledge. Full article

In the context of accelerated progress in clean energy development, an increasing number of regions are utilizing photovoltaic modules (PVMs) for the purpose of energy production. Numerous studies have demonstrated that the installation of these PVMs can exert both positive and negative effects on local ecosystems in different regions. However, there is a paucity of studies that have explored the ecological recovery mechanisms following PVM removal from another perspective, which may hinder a comprehensive understanding of PVM ecological impacts and impede the formulation and implementation of ecological management policies. The PVMs installed on Jiaogang Lake, which were to be removed due to policy adjustments, provided a valuable opportunity to address this issue. The taxonomic and functional diversity of waterbird communities in Jiaogang Lake was assessed and compared before and after the removal of PVMs. The results demonstrated that following the removal, there was a significant increase in both waterbird species richness and functional diversity, whilst the functional nestedness patterns between waterbird communities became more pronounced, implying the restoration of lake littoral areas. Subsequent analysis of individual waterbird functional traits revealed a significant trend towards larger body sizes in waterbirds following the removal of PVMs. Although temporal changes in certain traits did not attain statistical significance, the consistent trends observed in numerous traits led to this extrapolation with confidence. The present study thus aims to encourage decisive decision-making, particularly in short-term macroecological research in the local-scale region, avoiding delays in ecological management measures due to an obsession with perfect statistical data and analysis outcomes. Full article

Background: Despite growing evidence supporting the efficacy of dupilumab in the treatment of chronic rhinosinusitis with nasal polyps (CRSwNP), studies directly comparing biologic therapy with revision endoscopic sinus surgery remain limited. This study aimed to compare the effectiveness of dupilumab and revision endoscopic sinus surgery (ESS) in patients with recurrent CRSwNP. Methods: A retrospective cohort study was conducted in 50 patients with CRSwNP who had previously undergone at least two endoscopic sinus surgeries. Twenty-three patients received dupilumab, while twenty-seven underwent revision surgery. Changes in Nasal Polyp Score (NPS), quality of life assessed using the Sino-Nasal Outcome Test-22 (SNOT-22), and olfactory function evaluated with the Sniffin’ Sticks test were analyzed. Final clinical outcomes and the proportion of patients achieving very good disease control were also assessed. Results: Both treatment modalities improved disease control. However, dupilumab was associated with significantly greater reductions in NPS (median [IQR]: −6.00 [−6.00 to −5.00] vs. −4.00 [−6.00 to −3.00]; p = 0.012), larger improvements in SNOT-22 scores (−59.39 ± 12.14 vs. −21.37 ± 20.15; p < 0.001), and better recovery of olfactory function (+4.65 ± 2.79 vs. +2.19 ± 2.08; p = 0.001) compared with revision surgery. Analysis of final outcomes also favored dupilumab, with lower NPS scores (median [IQR]: 0.00 [0.00–1.00] vs. 1.00 [0.00–2.50]; p = 0.023), and better olfactory function (7.65 ± 3.11 vs. 4.78 ± 2.34; p < 0.001). Very good symptom control (SNOT-22 < 20) was achieved by 82.6% of patients treated with dupilumab compared with 7.4% of those undergoing revision surgery. Conclusions: Both revision surgery and dupilumab improved disease control in patients with CRSwNP. In this cohort, dupilumab was associated with greater reductions in disease severity, superior quality-of-life outcomes, and better olfactory function than revision endoscopic sinus surgery. Full article

The reliance on a single evaluation parameter represents a major limitation in traditional geothermal reservoir assessment models, hindering accurate and effective evaluation of geothermal extraction performance. Moreover, mechanical deformation induced by cold fluid injection exerts a significant influence on both fluid flow behavior and geothermal energy recovery. In this study, a thermo-hydraulic–mechanical (THM)-coupled single-fracture model is developed based on the physical properties of the solid matrix and the seepage characteristics of the fluid, using a finite-element framework for heat and mass transfer. This model enables a multi-parameter evaluation of geothermal extraction efficiency as well as reservoir rock deformation. The simulation results indicate that reservoir temperature decreases progressively from the injection well to the production well, resulting in a gradual decline in the outlet temperature after an initial stable production period of approximately 200 days. The presence of a preferential “fastest flow path” between the injection and production wells plays a critical role in sustaining the stable production phase, whereas the development of a tongue-shaped isotherm pattern is a primary factor responsible for the reduction in outlet temperature during the later stages of extraction. In addition, thermally induced rock deformation further modifies geothermal extraction efficiency, mainly through its effects on reservoir permeability and top vertical displacement. Overall, this study provides reliable and effective fundamental data for geothermal exploitation in specific geological reservoirs, thereby supporting the role of geothermal energy as a viable supplement to fossil fuel resources. Full article

Soybean is a strategic crop for global protein and vegetable oil supply chains; however, genetic improvement remains constrained by genotype-dependent regeneration, variable transformation efficiency, and regulatory concerns regarding stable transgene integration. This review synthesizes emerging DNA-free and genotype-independent genome-editing frameworks for soybean, where genotype independence is defined as the ability to recover fertile, non-chimeric edited plants across elite germplasm. We critically examine the soybean genome-editing toolbox, including CRISPR-Cas9, Cas12a, multiplex editing systems, base editing, and prime editing, and discuss persistent bottlenecks associated with target selection, off-target assessment, editability, and plant recovery. Particular emphasis is placed on artificial intelligence (AI)-assisted approaches that integrate genomic, epigenomic, chromatin-accessibility, and multi-omics datasets to improve target prioritization, guide RNA design, off-target prediction, and locus- and genotype-specific editability assessment. We further evaluate DNA-free genome-editing technologies, including CRISPR-Cas ribonucleoproteins, transient RNA-based systems, and nanocarrier-mediated delivery platforms, highlighting their potential to generate non-integrative edits while reducing prolonged nuclease exposure. In addition, we discuss regeneration reprogramming strategies based on developmental regulators and morphogenic modules, including BBM-WUS, GRF-GIF, de novo meristem induction, and somatic embryogenesis, as enabling technologies for overcoming cultivar-dependent regeneration barriers. Importantly, this review proposes an integrated AI-to-field framework that connects target discovery, editability prediction, DNA-free editing, regeneration reprogramming, phenotypic validation, and breeding deployment into a unified soybean improvement pipeline. We further highlight emerging opportunities in multi-omics-guided target discovery, genotype-aware prediction models, regeneration-aware editing strategies, and closed-loop machine-learning systems that continuously improve editing decisions through experimental feedback. Collectively, these convergent innovations provide a practical foundation for accelerating the development of climate-resilient, nutritionally enhanced, and industry-ready soybean cultivars. Full article

The increasing global demand for energy has intensified the need for lithium, a critical component in rechargeable batteries and electric vehicles. However, conventional lithium extraction methods are associated with significant environmental impacts. In this study, a one-step bioleaching approach for lithium recovery from mineral concentrates was evaluated using native microbial consortia and isolated bacterial strains. A suitable culture medium was selected, individual strains were isolated, and bioleaching experiments were conducted using a Box–Behnken experimental design. Lithium solubilization and cell density were assessed under different agitation conditions, pulp concentrations, and initial pH values. The highest lithium solubilization (99%) was achieved under non-agitated conditions, with a pulp concentration of 30% and an initial pH of 6. Three bacterial strains (ITDB101, ITDR102, and ITDN103) were identified. The native microbial consortium and the biotic control exhibited the highest lithium solubilization efficiencies (94.5% and 96.3%, respectively), outperforming the individual strains, which achieved solubilization values ranging from 91.73% to 93.27%. X-ray diffraction analysis identified five mineral phases in the concentrate, and comparisons among treatments revealed changes in these phases following bioleaching, supporting the potential of this process as an environmentally friendly alternative for lithium extraction. Full article

Chronic pain is the leading cause of disability worldwide and frequently co-occurs with mild traumatic brain injury among Veterans (mTBI + CP), creating complex treatment challenges and a need for novel, non-pharmacological interventions. This study evaluated a pilot intervention combining intermittent theta burst stimulation (iTBS), a neuromodulatory approach, with the evidence-based LoveYourBrain Yoga program to enhance rehabilitation outcomes. In a six-week open-label trial, ten Veterans with mTBI + CP received weekly iTBS followed by yoga sessions. Pilot quantitative outcomes included quality of life (Traumatic Brain Injury Quality of Life [TBI-QoL]) and functional ability (Mayo Portland Adaptability Inventory-4 [MPAI-4]), assessed pre- and post-intervention, alongside qualitative semi-structured interviews and interdisciplinary clinical notes. Significant improvements were observed in TBI-QoL Fatigue (p = 0.021) and MPAI-4 Grief and Loss (p = 0.016), with clinically meaningful but non-significant gains in Ability and Adjustment. Qualitative findings revealed improved pain management and enhanced self-management, with participants describing better emotional regulation, more effective coping strategies, and stronger social connections. Some benefits were more evident in qualitative data than in standardized measures. These pilot findings suggest that combining iTBS with mind–body therapy may provide complementary tools for pain management and functional recovery in Veterans with mTBI + CP, supporting further investigation of integrated neuromodulation and behavioral interventions. Full article