Search Results (46,175)

Achieving high morphological uniformity and mechanical strength is critical for the automation of watermelon grafting; yet, specific light protocols targeting these traits are lacking. This study employed LED lighting to regulate the morphological development of watermelon scion seedlings in a controlled plant factory environment. Using the watermelon cultivar ‘Heimeiling’ as the experimental material, three sequential experiments were conducted: (1) Under conditions of 95 μmol·m⁻²·s⁻¹ light intensity and a 12 h photoperiod, seven red/blue light ratios and a white light control were tested to identify the appropriate light quality. (2) Under the R3B1 light quality, gradients of the daily light integral (DLI) ranging from 2.88 to 17.28 mol·m⁻²·d⁻¹ were established by adjusting the light intensity and photoperiod to determine the optimal DLI. (3) Based on the above results, an orthogonal experiment was designed, with factors including the light quality (R7B1, R3B1, R1B1; where R7B1 represents 87.5% red light and 12.5% blue light), light intensity (120, 160, 200 μmol·m⁻²·s⁻¹), and photoperiod (16 h, 20 h, 24 h) to identify the optimal light environment combination for mechanical grafting. Results indicated that while monochromatic red light induced excessive elongation and suppressed metabolism, the R3B1 spectrum significantly enhanced the stem diameter, mechanical strength, and carbon–nitrogen accumulation while maintaining hormonal balance. Regarding the daily light integral (DLI), seedlings exhibited an optimal performance at 11.52 mol·m⁻²·d⁻¹. Lower DLI levels led to etiolation, whereas higher levels caused photoinhibition and PSII damage. Furthermore, orthogonal analysis revealed that light intensity was the dominant factor driving stem thickening and biomass accumulation, while light quality primarily regulated plant height. Consequently, a combination of R3B1 light quality, 200 μmol·m⁻²·s⁻¹ intensity, and a 20 h photoperiod was identified as the optimal strategy to satisfy the stringent morphological requirements for mechanical grafting. Full article

Although the eradication of Helicobacter pylori is critical for preventing gastric cancer, current therapies often overlook the restoration of the gastric microenvironment, leading to a prevalence of delayed tissue healing and dysbiosis. Consequently, many patients remain in a persistent pathological state despite successful H. pylori clearance, presenting a major bottleneck in clinical treatment. This review summarizes recent advancements in gastric-targeted drug delivery systems, illustrating the evolution from a singular antibacterial approach to an integrated sequential strategy encompassing clearance, repair, and homeostasis reconstruction. We examine smart gastro-retentive and nanodelivery systems designed to overcome physiological barriers, highlighting formulations that extend gastric residence time and maintain local drug concentrations above the Minimum Inhibitory Concentration for prolonged periods. Furthermore, we discuss spatiotemporally controllable biomaterials, such as Janus hydrogels and ROS-responsive carriers. These systems demonstrate distinct pH-dependent release kinetics and high stability in simulated gastric fluids, effectively preserving bioactive payloads to modulate the immune microenvironment. By facilitating the transition from pro-inflammatory to anti-inflammatory phenotypes, these biomaterials support epithelial regeneration. The review concludes with an analysis of postbiotics and the proposed holistic strategy, offering a promising therapeutic framework for mitigating the inflammation-to-cancer transition and promoting gastric health remodeling. Full article

Urinary tract infections (UTIs) impose a substantial burden on women’s health, and probiotics have emerged as an alternative strategy to support urogenital wellbeing. This study evaluated the antimicrobial properties of Limosilactobacillus reuteri 3613-1 and its ability to improve UTI outcomes in women with a history of recurrent uncomplicated UTIs. In vitro assays demonstrated that L. reuteri 3613-1 inhibited the growth of Escherichia coli isolates and proved superior inhibition of Gardnerella vaginalis and Candida albicans compared with a comparator L. reuteri strain, supported by confirmed reuterin production and genomic profiling. A randomized, double-blind, placebo-controlled clinical trial (n = 130) assessed daily supplementation with L. reuteri 3613-1 for 24 weeks. While the proportion, frequency, and intensity of confirmed UTIs did not differ significantly between groups, L. reuteri 3613-1 delayed the onset of the first UTI, reaching significance in participants with suspected while unconfirmed UTIs. Vaginal pH and vaginal microbiome composition remained stable and comparable between groups across the intervention. The product was safe and well tolerated. Overall, L. reuteri 3613-1 shows promise as a probiotic candidate with antimicrobial activity and potential to delay symptom onset in women susceptible to recurrent UTIs, warranting further investigation in larger studies. Full article

Compared with rule-based and optimization energy management strategies, online optimal energy management control strategies for a dual-mode power-split hybrid electric vehicles (PSHEVs) are able to achieve better fuel economy and real-time performance. Global online optimization of a finite time domain energy management strategy based on the hybrid model predictive control (HMPC) algorithm is proposed in this study. To reduce the computing time, a linearized predictive model is built; because dual-mode PSHEVs can be considered hybrid systems that include continuous and discrete states, the hybrid states can be expressed uniformly. Therefore, a mixed logical dynamic (MLD) predictive model is built based on hybrid system theory, and an HMPC energy management strategy is proposed based on the MLD predictive model. To solve the optimal control problem online to obtain the optimal control sequence, the optimal control problem is converted into a mixed-integer linear programming (MILP) problem. The HMPC-based energy management strategy is compared with dynamic programming (DP)-based and rule-based energy management strategies over two different driving cycles. Simulation results indicate that the HMPC-based EMS achieves 80.60% and 83.79% of the fuel economy performance obtained by the DP-based EMS. In comparison, the rule-based EMS only achieves 66.46% and 70.51% of the DP-based control performance. Therefore, the HMPC-based energy management strategy is favorable for real-time control while effectively improving fuel economy. Full article

Extremely preterm infants often require prolonged respiratory support due to lung immaturity and inflammation, placing them at high risk of lung injury and development of bronchopulmonary dysplasia (BPD). In many of these infants, systemic postnatal corticosteroids are used to reduce lung inflammation, facilitate mechanical ventilation (MV) weaning and extubation, and improve short-term pulmonary outcomes. However, despite decades of clinical use, substantial variation persists in timing, choice of agent and dosing. These inconsistencies reflect a lack of strong evidence and a limited understanding of the systemic and organ-specific effects of therapy for a highly heterogenous population usually exposed to this medication. This narrative review addresses these gaps by integrating current knowledge of the inflammatory and respiratory effects of postnatal corticosteroids in extremely preterm infants. We explore how corticosteroids modulate pulmonary inflammation, their effects on lung development, and how they affect key clinical outcomes such as extubation success and BPD severity. We also examine evolving approaches to corticosteroid administration and dosing, highlighting the importance of individualized strategies informed by developmental and disease-specific considerations. Comparative data from randomized controlled trials are reviewed, including the efficacy and side-effect profiles of commonly used regimens. Current evidence supports judicious use of late low-dose dexamethasone, while early prophylaxis with inhaled or intratracheal steroids remains experimental and is not routinely advised. In line with a physiology-driven approach, we also discuss emerging domain-specific monitoring tools that may enhance patient selection and optimize timing of intervention. By synthesizing mechanistic insights with clinical evidence, this review supports a more nuanced, individualized approach to postnatal corticosteroid therapy in extremely preterm infants, balancing therapeutic benefits with potential systemic trade-offs. Full article

This paper presents a case study of a Home Energy Management System (HEMS) integrating photovoltaic (PV) generation, battery energy storage (BES), thermal storage, and a heat pump in a single-family household operating under a dynamic electricity tariff. The analysis is based on real operational data and focuses on system performance under varying solar generation conditions. The results show that during sunny days, the battery storage absorbs the entire surplus PV generation until reaching full capacity, i.e., 10 kWh, effectively preventing curtailment and maximizing self-consumption. On days with limited solar production, the system actively utilizes the available storage capacity by shifting energy use in time and, when economically justified, temporarily charging the battery from the grid during low-price periods. This strategy reduces electricity purchases during peak-price hours and stabilizes household energy costs. For the analyzed case, daily PV generation self-consumption exceeded 70% on high-generation days, while the application of storage-based load shifting under dynamic tariffs reduced daily electricity costs by up to 30% compared to a fixed-rate tariff. The study confirms that the economic and operational performance of residential energy systems under dynamic pricing depends primarily on adaptive storage control rather than on PV capacity alone, highlighting the central role of battery energy storage in year-round energy optimization. Full article

The natural fermentation of sausages often results in inconsistent gel texture and flavor stability. This study introduces a compound fermenter group (Weissella hellenica, Lactobacillus sakei, and Pediococcus pentosaceus) to improve the quality of fermented sausages. The aim was to evaluate its flavor-modulating and quality-preserving effects, addressing the research gap in applying these microbial synergies in fermented meats. Sausages inoculated with the compound fermenter group were compared with control group (naturally fermented) over 90-day frozen storage using gas chromatography–mass spectrometry and physicochemical, microbiological, and sensory analyses. The results showed that the compound fermenter group enhanced protein gel network stability (increased hardness and chewiness; reduced moisture loss), enriched the volatile aroma profile, with an 8.7% increase in the variety of flavor compounds and no detected lipid oxidation-derived off-flavor aldehydes (e.g., trans-2-nonenal), and improved oxidative and microbial stability (lower thiobarbituric acid reactive substances and total volatile basic nitrogen values; total viable counts within safety limits), with consistently higher sensory scores. The compound fermenter group effectively coordinates proteolysis, gelation, and flavor metabolism, offering a promising strategy for producing high-quality fermented meat gels with optimized texture and extended shelf life. Full article

Background/Objectives: Squamous cell carcinoma of the nasal vestibule (SCCNV) represents a rare malignancy traditionally managed by radical surgical resection, frequently at the cost of substantial functional impairment and disfiguring aesthetic consequences. This study investigates an organ-preserving therapeutic strategy integrating high-dose-rate interventional radiotherapy (HDR-IRT; brachytherapy) with organ-preserving surgery. Material and Methods: A retrospective analysis of patients with primary SCCNV treated using HDR-IRT between 2008 and 2022, excluding recurrent disease and cutaneous squamous cell carcinomas. Interstitial HDR-IRT catheters were implanted intraoperatively, with radiation delivered twice daily to a target volume encompassing the tumor and a 10–15 mm safety margin. Results: Fifty-one patients were included, with a median age of 71 years. The median total dose was 40 Gy. Gross total resection was performed in 7 patients, and subtotal resection in 44. The median follow-up was 35 months. The 5-year nose preservation rate was 90%, with local control at 84%, regional failure-free survival at 94%, and overall survival at 82%. In total, 49 acute toxicity events were documented, including two grade 3 events, while 35 chronic toxicity events were reported, including one grade 3 event. At 3 years, 84.3% of cosmetic outcomes were rated as satisfactory, 9.8% as acceptable, and 5.9% as unsatisfactory. Conclusions: The OSIRIS approach, combining HDR-IRT with organ-preserving surgery, is an effective treatment for SCCNV, offering high organ preservation and favorable long-term disease control, with manageable toxicity and positive cosmetic outcomes. Full article

Surface defects such as depressions, heaving, and irregular undulations frequently develop on aging concrete bridge decks under repeated traffic loading and environmental effects. Accurate and objective identification of such defects is essential for structural serviceability and safety, yet manual inspection remains labor-intensive and subjective. This study develops a systematic framework for surface defect identification through geometric feature augmentation with a streamlined point cloud learning strategy. In practical engineering scenarios, point cloud data of concrete bridge decks can be periodically acquired via vehicle-mounted mobile laser scanning (MLS) systems and subsequently streamlined for analysis. The proposed method heightens defect sensitivity by extracting interpretable geometric descriptors, further integrating multi-scale representations to capture surface defects across varying spatial extents. Evaluated on a public point-level annotated benchmark, the proposed method clearly outperforms the same network trained with geometric coordinates only. To improve result reliability, all experiments were repeated four times with different random seeds, and the performance is reported as mean ± standard deviation. Results show that the proposed method achieves a precision of 0.597 ± 0.021 and an accuracy of 0.933 ± 0.009 under the benchmark protocol. Overall, these results demonstrate a reproducible proof of concept under controlled benchmark conditions for bridge deck surface defect segmentation, while broader cross-site and cross-sensor validation will be pursued in future work. Full article

Background/Objectives: The coexistence of chronic obstructive pulmonary disease (COPD) and type 2 diabetes mellitus (T2D) poses significant clinical challenges due to overlapping mechanisms of systemic inflammation, oxidative stress, hypoxia, and metabolic dysregulation. Patients with both conditions face higher risks of exacerbations, prolonged hospitalizations, cardiovascular events, and reduced quality of life. This review aims to summarize current evidence on the pathophysiological interplay between COPD and T2D and to evaluate the impact of lifestyle and pharmacologic interventions. Methods: A narrative review of the literature was conducted to evaluate the pathophysiological links between COPD and T2D, assess the effects of pharmacologic and lifestyle interventions, and highlight key gaps and priorities for future research, with an emphasis on integrated, evidence-based management for this high-risk population. Results: Lifestyle interventions, including smoking cessation and structured physical activity, remain foundational to management. Emerging evidence indicates that antidiabetic therapies, such as glucagon-like peptide-1 receptor agonists (GLP-1RAs) and sodium–glucose cotransporter-2 inhibitors (SGLT-2is), may confer additional pulmonary, metabolic, and cardiovascular benefits. These agents modulate systemic inflammation, oxidative stress, endothelial function, and insulin sensitivity, potentially reducing COPD exacerbations, improving lung function, and enhancing survival. Safety concerns, including glucocorticoid-induced hyperglycaemia and hypoxia-related metabolic complications, underscore the need for careful monitoring and individualized therapy COPD patients. Conclusions: Optimal care requires a multidisciplinary, patient-centred approach integrating pulmonology, endocrinology, primary care, nutrition, and rehabilitation, alongside shared decision-making and patient education. Despite promising findings, critical knowledge gaps remain. Large, well-designed randomized controlled trials and standardized definitions are needed to guide personalized therapeutic strategies. Full article

Given the increasing burden of diet-induced metabolic dysregulation, preventive nutritional strategies targeting early insulin resistance are of growing interest. The aim of this study was to evaluate the effects of white tea supplementation on body weight gain, insulin resistance, and the Gremlin-1/Bone Morphogenetic Protein-4 (BMP-4) axis in visceral adipose tissue under high-fat diet conditions in a non-obese experimental model. Thirty-two male Sprague–Dawley rats were randomized into four groups (n = 8/group): standard diet (control), only high-fat diet (HFD), high-fat diet plus orlistat (ORL: 30 mg/kg/day), and high-fat diet plus white tea (WT: 5 mg/kg/day). Interventions were administered once daily by oral gavage for 12 weeks. Body weight was recorded weekly. At the end of the study, serum insulin, Gremlin-1, and BMP-4 and retroperitoneal adipose tissue Gremlin-1 and BMP-4 levels were measured by ELISA. Adipose tissue GREM1 gene expression was quantified by qRT-PCR. Insulin resistance was estimated using the HOMA-IR index. Appropriate statistical analyses were conducted in line with the study design and data distribution. High-fat feeding resulted in the highest HOMA-IR values, whereas white tea supplementation reduced HOMA-IR compared to the HFD group (p = 0.008). Body weight gain was increased in both the HFD and ORL groups compared to the control (p = 0.009 and p = 0.012, respectively). The lowest weight gain was observed in the WT group, which was lower than the HFD group (p = 0.044). GREM1 expression showed a 1.92-fold increase in the HFD group relative to the control, with smaller increases in the WT and ORL groups; however, intergroup differences did not reach statistical significance (p = 0.063). Serum BMP-4 levels were lower in the WT group compared to the control (p = 0.012), while tissue BMP-4 and Gremlin-1 levels did not differ between groups. Correlation analyses revealed a moderate inverse association between serum Gremlin-1 and serum BMP-4 (rho = −0.493, p = 0.011) and a moderate positive correlation between serum BMP-4 and HOMA-IR (rho = 0.564, p = 0.003). White tea supplementation attenuated body weight gain and preserved insulin sensitivity in a non-obese high-fat diet model, as evidenced by reduced weight gain and lower HOMA-IR values compared with high-fat feeding alone. These metabolic improvements were accompanied by coordinated changes in circulating components of the Gremlin-1/BMP-4 axis, including reduced serum BMP-4 levels and associations between BMP-4, Gremlin-1, and insulin resistance. Although tissue-level alterations were modest, the observed systemic patterns are consistent with an exploratory association between white tea intake and early metabolic signaling changes; however, definitive pathway modulation cannot be inferred from the present dataset. Collectively, these findings support white tea as a nutrient-derived bioactive with preventive metabolic potential during the early stages of diet-induced metabolic dysregulation, prior to the development of overt obesity. Full article

Agricultural transboundary water pollution induced by inter-regional trade poses a complex and pressing challenge for environmental governance. This study integrates an agricultural water pollutant emission inventory, multi-regional input–output model, responsibility-sharing framework, and ecological compensation scheme to establish the collaborative control of agriculture water pollution embodied in China’s inter-provincial trade. The findings reveal, firstly, that inter-provincial agricultural trade led to significant transfers of agricultural water pollution, predominantly flowing from economically developed provinces to less developed provinces, reflecting a mismatch between economic gains and environmental costs. Specifically, Gansu and Qinghai bear the largest agricultural water pollution impact (2.15 Kt and 3.25 Kt, respectively), while it is still a loss in terms of economic net benefits (0.21 trillion and 0.06 trillion yuan, respectively). Secondly, the economic benefit responsibility-sharing shows that for most provinces, responsibility lies between production- and consumption-based accounting and provides a feasible pathway for responsibility sharing. Third, economically developed provinces like Beijing, Jiangsu, and Zhejiang bear the largest compensation liabilities to others, with 1.60 Kt, 0.73 Kt, and 0.54 Kt, respectively. Conversely, provinces including Qinghai, Gansu, and Jiangxi require the greatest compensation inflows, at 2.55 Kt, 0.62 Kt, and 0.34 Kt, respectively. Finally, the maximum acceptable payment value for compensating provinces and the minimum acceptable compensation value for recipient provinces are identified. Our study elucidates the inter-provincial disparities in agricultural water pollution burdens and economic benefits, establishing a quantitative foundation for optimizing responsibility-sharing and compensation strategies in China, which is crucial for fostering regional cooperation in water pollution control. Full article

Epileptogenesis is commonly defined by the emergence of spontaneous seizures after an initial insult; however, convergent experimental and clinical evidence indicates that the underlying disease process begins well before seizures become clinically detectable. During this pre-seizure phase, persistent molecular cascades remodel synaptic plasticity, circuit architecture, and glial–immune signaling. These processes are associated with trait-like alterations in cognition, affect, and behavior. Despite their clinical relevance, these neurobehavioral signatures remain poorly integrated into molecular models of epileptogenesis and are rarely considered as translational biomarkers of disease progression. This review synthesizes evidence linking core epileptogenic molecular cascades—maladaptive synaptic plasticity, glial–immune signaling, oxidative–metabolic stress, and activity-dependent gene regulation—to reproducible alterations in executive control, cognitive flexibility, emotional regulation, and motivational–social behavior. We outline an integrative framework in which these phenotypes are conceptualized as system-level readouts of progressive network reconfiguration rather than nonspecific “comorbidities” or mere consequences of recurrent seizures. Within this perspective, neurobehavioral markers can complement electrophysiological and molecular measures by capturing disease-relevant changes during windows when anti-epileptogenic interventions would be most effective. To increase mechanistic specificity, we provide representative pathway and gene-level anchors across epileptogenesis stages, a structured molecular-to-neurobehavioral mapping, and an operational biomarker panel specifying confounders and minimal controls. These anchors are included to ground the framework in experimentally documented molecular nodes with stage-dependent relevance; examples are representative rather than exhaustive, and evidence strength is indicated as preclinical mechanistic versus associative human observations. Finally, we discuss methodological requirements for biomarker validity (specificity, temporal anchoring, and cross-model consistency) and outline how integrating molecular and neurobehavioral trajectories may refine target discovery and improve the translation of anti-epileptogenic strategies. Conceptualizing epileptogenesis as a progressive disease process with measurable pre-seizure neurobehavioral signatures may broaden biomarker strategies beyond seizure occurrence and support the development of disease-modifying interventions. Full article

Current Unmanned Aerial Vehicle (UAV) swarm designs prioritize physical reliability over network security, leaving systems vulnerable to increasingly sophisticated cyber threats in complex environments. Existing defense methods are mostly limited to peripheral network security technologies, such as encryption, authentication, and firewalls. Consequently, they lack deep integration at the formation architecture level. This separation results in a disconnect between system reliability design and security protection mechanisms, making it difficult to effectively deal with high-level security threats such as internal backdoor vulnerabilities. To this end, this paper proposes an endogenous security architecture for UAV swarm based on dynamic heterogeneous redundancy (DHR) and cooperative supervision. Firstly, a theoretical model of DHR system for UAV swarm was constructed, and discrete nodes are abstracted as dynamic heterogeneous resource pools. Through the formal definition of the heterogeneous executor space, redundancy adjudication mechanism, and dynamic scheduling method, we demonstrate how this architecture suppresses common mode failures by introducing internal and external uncertainties, thereby realizing the coordination and unification of safety and security. Secondly, a distributed security control strategy based on cooperative supervision is proposed, which uses cross-validation between neighbors to replace the centralized adjudication of traditional DHR, solves the problem of anomaly detection in a decentralized environment, and combines reactive cleaning and periodic disturbance scheduling to give the system the ability to self-heal against unknown threats. Simulations in various attack scenarios demonstrate the proposed method’s superiority over traditional architectures. Especially in the simulated dormant multi-mode Advanced Persistent Threat (APT) scenario, the system can still maintain availability of more than 81%, which effectively verifies the key role of the coordination mechanism of heterogeneity, redundancy and dynamics in enhancing the safety and security of UAV swarms. Full article

Dual linear motor-driven systems (DLMDS) are widely used in industrial manufacturing due to their high dynamic stability and robust performance, typically featuring a symmetric Y1–Y2 axis structure. High-precision synchronization control of the motion platform is crucial for overall system performance. However, in practice, such systems are inevitably affected by mechanical installation errors, load disturbances, and nonlinear friction, which lead to the asymmetry of the Y1–Y2, severely degrading the synchronization accuracy between the two symmetric axes. To address these challenges, this paper proposes an EtherCAT-enabled active disturbance rejection control (ADRC) strategy for high-performance gantry synchronization systems. To cope with strong coupling effects, external disturbances, and high-speed operation, a master–slave synchronization architecture is developed based on ADRC and the EtherCAT cyclic synchronous torque (CST) mode. An extended state observer (ESO) is employed to estimate and compensate for lumped disturbances in real time, enabling precise synchronization without relying on an accurate mechanical model. Experimental results under both low-speed and high-speed operating conditions show that the proposed method significantly improves the synchronization stability and robustness compared with conventional cross-coupling control and master–slave control strategies. Specifically, the ADRC-based approach reduces synchronization errors by more than 20% under disturbance-free conditions and suppresses approximately 80% of disturbance-induced errors during high-speed operation. These results confirm the effectiveness and practical applicability of the proposed control strategy for high-precision gantry motion systems. Unlike conventional torque-mode implementations that merely replace the position loop with torque regulation, the proposed method introduces a disturbance-estimation-driven synchronization architecture co-designed with deterministic EtherCAT cyclic timing, which enables distributed real-time compensation beyond classical torque feedforward strategies. Full article