Search Results (45,447)

Monilinia laxa and Colletotrichum fioriniae are major fungal pathogens causing brown rot and anthracnose in stone fruits and shell fruits, leading to significant economic losses. Chemical fungicides are widely applied but can result in resistance development, environmental contamination, and food safety concerns. Biological control using entomopathogenic bacteria (EPB) of the genus Photorhabdus has emerged as an eco-friendly alternative. This study evaluated the in vitro antifungal activity of selected Photorhabdus species (P. kayaii 1723B, P. temperata 3017, P. cinerea 3086, P. laumondii 3196, and P. thracensis 3210) against M. laxa (M3) and C. fioriniae (VV081) using drop-to-drop confrontation and poisoned agar assays. Effects of fermentation time, preparation mode (original vs. centrifuged and filtered), and concentration (5, 10, 20%) were examined. Species-specific inhibition was observed, with Median Inhibition Index values indicated relatively higher antifungal activity for P. thracensis 3210 against M. laxa (0.718) and C. fioriniae (0.552), followed by P. cinerea 3086 (0.643 and 0.552) and P. kayaii 1723B (0.629 and 0.541). Fermentation time and preparation mode influenced antifungal activity in a strain-dependent manner, with longer fermentation periods and original culture preparations generally showing stronger inhibitory trends. Higher concentrations, especially 20%, were often associated with increased inhibition, although the magnitude of these effects varied among strain–pathogen combinations. Overall, these findings demonstrate that the strain- and pathogen-specific nature of antifungal responses in Photorhabdus, supporting their potential as components of targeted biological control strategies rather than uniform broad-spectrum agents. Full article

The replacement of fishmeal with plant protein is widely regarded as a key strategy for sustainable aquaculture. However, carnivorous marine fish often show limited tolerance to fishmeal-free diets. Here, we investigated growth performance, hepatic physiological responses, and molecular mechanisms underlying adaptation to a soy protein concentrate-based diet (SPCD) in golden pompano (Trachinotus ovatus). An 8-week feeding trial was conducted under communal rearing conditions, followed by the phenotypic stratification of SPCD-fed fish into high- and low-growth subgroups. Growth performance, serum biochemical indices, and liver histology were assessed, and integrated transcriptomic and metabolomic analyses were performed on liver tissue. At the population level, the SPCD resulted in reduced growth, a lower feed intake, and decreased feed utilization efficiency compared with a fishmeal-based diet. Notably, marked inter-individual variation was observed: fish fed the SPCD exhibited significantly lower final body weights and a higher FCR compared with the FMD group (p < 0.001), and pronounced growth divergence was observed between the PB and PS subgroups, with a subset of SPCD-fed fish maintaining growth comparable to fishmeal-fed controls, whereas others exhibited severely constrained growth. Divergent phenotypes were associated with distinct hepatic alterations, including aggravated vacuolation, the enrichment of tight junction-related and immune regulatory pathways, and the broad reprogramming of lipid metabolism. Integrated multi-omics analysis identified arachidonic acid metabolism as the most significantly perturbed pathway, characterized by altered membrane phospholipid composition, the upregulation of RARRES3L, increased COX/LOX-derived eicosanoids, and the suppression of the CYP–EET branch. Collectively, these findings indicate that soy protein replacement induces coordinated hepatic structural and metabolic remodeling, with tight junction disruption and arachidonic acid metabolic reprogramming contributing to inflammatory imbalance and divergent growth phenotypes in T. ovatus. Full article

Banker plants are non-crop plants that sustain populations of biological control agents prior to pest outbreaks, offering a preventive strategy within integrated pest management (IPM). Their benefits have primarily been attributed to top-down regulation via natural enemy-mediated pest suppression; however, their potential bottom-up effects remain largely unexplored. Here, we show that airborne cues emitted from banker plants infested with the zoophytophagous mirid bug Nesidiocoris tenuis altered the performance of the two-spotted spider mite Tetranychus urticae on neighboring tomato plants Solanum lycopersicum. Exposure to airborne cues from infested sesame Sesamum indicum significantly reduced mite fecundity, whereas those from tomato and spider flower Cleome hassleriana had no detectable effect, indicating that the induction of crop resistance is dependent on banker plant species. Moreover, T. urticae infestation of banker plants consistently suppressed mite oviposition on neighboring tomato plants across all banker plant species tested. These findings suggest that banker plants can exert previously unrecognized bottom-up effects by modulating crop resistance-related responses through airborne cues. Therefore, selecting banker plant species that emit effective airborne cues may strengthen crop protection and stabilize biological control performance in sustainable IPM strategies. Full article

The ascomycete fungus Clonostachys rosea is a promising biocontrol agent against root-knot nematodes. To develop a more effective and stable biocontrol strategy, we rationally constructed a co-culture system by partnering C. rosea with the plant growth-promoting bacterium Bacillus velezensis. Through systematic optimization of the medium and inoculation protocol, the co-culture demonstrated significantly enhanced performance, achieving 95.3% mortality of Meloidogyne incognita juveniles, a 78.0% increase in tomato shoot dry weight, and 69.2% disease control efficacy in pot trials. Metabolomic profiling indicated that the co-culture triggered a distinct metabolic profile compared to the respective monocultures. The enhanced efficacy was associated with the accumulation of two functional metabolite groups. First, the co-culture synergistically accumulated direct-effect compounds with reported nematicidal (e.g., daidzin, L-tryptophan) and plant-growth-promoting (e.g., isopentenyladenine, melatonin, and indole-3-propionic acid) activities. In parallel, L-proline emerged as a critical microbial interaction modulator. Targeted quantification showed a clear proline abundance gradient: highest in the C. rosea monoculture, intermediate in co-culture, and lowest in the B. velezensis monoculture. This gradient suggests that proline produced by C. rosea is likely utilized by B. velezensis, a finding further supported by the observation that proline enhanced bacterial biofilm formation and upregulated the matrix genes epsC and tasA. Accordingly, the co-culture itself formed significantly more robust biofilms. Thus, the enhanced biocontrol can be attributed to synergistic metabolite accumulation together with proline-mediated fitness gains in the bacterial partner, establishing a metabolic basis for rationally engineering microbial consortia. Full article

Background/Objectives: Metastatic non-small cell lung cancer (mNSCLC) is challenged by toxicity, pharmacokinetic (PK) mismatch, and resistance inherent in current immune checkpoint inhibitor (ICI) regimens. Bispecific antibodies (BsAbs), which unify dual-target engagement within a single, structurally engineered molecule, offer a next-generation strategy to transcend these therapeutic ceilings. Their engineering formats—ranging from IgG-like full-size antibodies to non-IgG-like fragment-based or smaller scaffolds—are selected to further optimize target affinity and enhance therapeutic efficacy. Methods: This narrative review analyzes landmark trials establishing the current standard of care (SoC) and evaluates the mechanistic rationale and status of emerging BsAb, including dual checkpoint blockers and tumor microenvironment (TME)-modulating BsAbs, using the data from the latest early-phase clinical studies. Results: The review critically focuses on comparing the theoretical benefits of BsAbs, such as PK consistency and synergistic efficacy via affinity-controlled dual targeting, against the practical drawbacks of conventional combination therapies. Most importantly, it assesses the BsAbs’ potential to secure superior overall survival (OS) or progression-free survival (PFS) against established SoC and deeply reviews the clinical feasibility of managing their unique safety profiles. Conclusions: While BsAbs offer a potent, innovative approach to enhancing anti-tumor immunity, substantial hurdles remain for their widespread clinical integration. Key challenges include: (1) demonstrating clear survival benefits over high-efficacy SoCs in late-stage trials; (2) establishing guidelines for managing novel toxicity profiles; and (3) addressing logistical barriers related to complex manufacturing and high costs. Furthermore, the validation of predictive biomarkers is essential to guide the personalized application of BsAb-based immunotherapies. Full article

Oxidative stress and redox (REDOX) imbalance play a key role in the development of many chronic and degenerative disorders, including cardiovascular diseases, neurodegenerative conditions, cancer, and age-related illnesses. Beyond causing direct damage to macromolecules, disrupted REDOX signaling affects cellular homeostasis, alters inflammatory responses, and modifies metabolic control, leading to disease onset and progression. Therefore, targeting oxidative pathways offers a promising therapeutic approach for managing chronic diseases. Naturally derived antioxidants, especially phytochemicals such as polyphenols, flavonoids, and carotenoids, have been identified as novel REDOX modulators with diverse biological effects that extend beyond simple free-radical scavenging. This review provides a detailed overview of the molecular mechanisms through which these phytochemicals influence oxidative pathways and exert protective effects on cells. We discuss their relevance in oxidative stress–related diseases, evaluate current clinical evidence regarding their efficacy, and highlight key challenges that limit their clinical application. Special attention is given to the roles of bioavailability, metabolism, and gut microbiota in shaping health outcomes associated with phytochemical consumption. Additionally, we outline emerging strategies to enhance phytochemical efficacy, including synergistic combinations and advanced delivery systems. Overall, this article underscores the potential of phytochemicals as active modulators of REDOX biology, supporting their role in precision nutrition and modern therapeutic approaches. Full article

The study addresses trajectory tracking control for underactuated vessels with uncertain backlash-type hysteresis. First, an improved practical L1-based guidance strategy is developed by embedding the L1 mechanism into the virtual ship framework to eliminate steering overshoot and yaw angle error accumulation, which can facilitate the smooth turning of ships along waypoint-based paths with large curvature. Next, to mitigate control performance degradation induced by backlash-like hysteresis nonlinearity, an improved quadratic function is utilized to boost the closed-loop system’s convergence capability. Moreover, system model uncertainty-induced perturbations are compensated using the resilient neural damping method, which can simplify the structure and reduce the computation burden of the proposed controller. Utilizing Lyapunov-based approaches and the special Young’s inequality, uniformly ultimately bounded stability over a semi-global domain is established. Finally, numerical simulations are executed to validate the efficacy of the developed control architecture. Full article

Accurate time series forecasting of sea surface temperature (SST) is essential for understanding the ocean climate system and large-scale ocean circulation, yet it remains challenging due to regime-dependent variability and correlated errors across heterogeneous prediction models. This study addresses these challenges by formulating SST ensemble time series forecasting aggregation as a stochastic, sample-adaptive weighting problem. We propose a diffusion-conditioned ensemble framework in which heterogeneous base forecasters generate out-of-sample SST predictions that are combined through a noise-conditioned weighting network. The proposed framework produces convex, sample-specific mixture weights without requiring iterative reverse-time sampling. The approach is evaluated on short-horizon global SST forecasting using the Global Ocean Data Assimilation System (GODAS) reanalysis as a representative multivariate dataset. Under a controlled experimental protocol with fixed input windows and one-step-ahead prediction, the proposed method is compared against individual deep learning forecasters and conventional global pooling strategies, including uniform averaging and validation-optimized convex weighting. The results show that adaptive, diffusion-weighted aggregation yields consistent improvements in error metrics over the best single-model baseline and static pooling rules, with more pronounced gains in several mid- to high-latitude regimes. These findings indicate that stochastic, condition-dependent weighting provides an effective and computationally practical framework for enhancing the robustness of multivariate time series forecasting, with direct applicability to global SST prediction from large-scale geophysical reanalysis data. Full article

This study investigates alkali-activated recycled pumice as a sustainable cement replacement for hydraulic concrete used in rigid pavements. Cement was replaced at 15%, 25%, and 50% by mass and activated using NaOH solutions at 1 N, 0.5 N, and 0.25 N, resulting in nine mixture variants. Mechanical performance was assessed through compressive strength at 7, 14, and 28 days, and flexural strength at 28 days. Durability was evaluated via natural carbonation depth at 210 and 1090 days. X-ray diffraction (XRD) identified aluminosilicate phases in the pumice, supporting its alkali-reactive potential. Mixtures with 15% pumice replacement achieved compressive strengths up to 20.99 MPa, comparable to the control mix (20.45 MPa), whereas 25% and 50% replacements produced moderate strength reductions. Flexural strength in 15% mixtures (7.38–7.44 MPa) was also comparable to the control (7.30 MPa), while higher replacement levels reduced flexural performance. Carbonation resistance improved for mixtures with an optimized alkaline-to-pumice ratio (APR, defined as NaOH concentration relative to pumice content) between 0.0167 and 0.02, indicating more balanced activation and reduced CO₂ ingress. Overall, alkali-activated recycled pumice enables partial cement replacement while maintaining mechanical performance and carbonation resistance at 15% substitution, supporting circular economy strategies and lowering the carbon footprint of rigid pavement concrete. Full article

Spent fluid catalytic cracking catalysts (E-cat) are a challenging waste from the petroleum refining industry, enriched with heavy metals such as nickel, vanadium, and iron. This study proposes a circular valorization strategy by incorporating E-cat into a chemically bonded iron phosphate ceramic matrix, known for its excellent waste stabilization properties. Composites were synthesized at room temperature using E-cat, hematite, and phosphoric acid, with E-cat contents from 0% to 35%. Characterization by XRF, XRD, SEM, compressive strength, and water absorption tests identified an optimal formulation containing 16% E-cat, achieving a maximum compressive strength of 16.6 MPa, 35% higher than the control. This improvement can be attributed to the dual function of E-cat, acting both as a micro-aggregate that promotes matrix densification and as a pozzolanic component that enhances mechanical reinforcement. These results demonstrate that iron phosphate ceramics represent a low-energy and sustainable strategy for the immobilization of spent catalysts and the production of durable construction composites. Full article

The increasing integration of electric vehicles (EVs) and renewable energy sources has accelerated the adoption of DC microgrids, where maintaining voltage stability and effective power sharing remains a critical challenge. Hybrid energy storage systems (HESS), combining batteries and supercapacitors, are commonly employed to address dynamic power variations. However, conventional proportional–integral (PI)-based control strategies for HESS can exhibit performance limitations under nonlinear and varying operating conditions. To overcome this drawback, this paper presents an adaptive neuro-fuzzy inference system (ANFIS)-based control strategy for HESS located in a DC microgrid, with comparative evaluation against both conventional PI and traditional Fuzzy Logic controller (FLC) schemes. The proposed approach is evaluated using a detailed MATLAB/Simulink R2024a model of a DC microgrid including EVs. Simulation results show that, under normal operating conditions, the ANFIS-based control demonstrates improved transient response, reduced voltage fluctuations, and effective coordination between the battery and supercapacitor during renewable power variations, compared to PI and FLC-controlled systems. In addition to nominal performance assessment, this work investigates the vulnerability of the ANFIS controller to cyber-attacks. Two representative attack scenarios, false data injection (FDI) and denial-of-service (DoS), are applied to critical measurement and control signals of HESS. Simulation results reveal that, although the DC-bus voltage regulation is largely maintained during attack intervals, cyber manipulation significantly disrupts the intended HESS power-sharing behavior. Full article

Root rot disease severely impacts the yield of Cardamine violifolia, a selenium-enriched cruciferous vegetable. However, the causal pathogens and effective control strategies of this disease remain poorly characterized. This study systematically isolated and identified three key pathogens from diseased tissues in the Enshi region: Aspergillus costaricensis, Mucor circinelloides cf. lusitanicus, and Fusarium pernambucanum. Morphological characterization, phylogenetic analysis, and pathogenicity testing were conducted. Candidate fungicides were screened using plate inhibition assays, and combinations were optimized and validated through soil drenching experiments. While propiconazole showed broad-spectrum activity, its efficacy against Aspergillus and Mucor was suboptimal. A novel ternary compound fungicide, T10, combining propiconazole, hymexazol, and difenoconazole, demonstrated significantly enhanced potency with EC₅₀ values of 7.313, 12.2983, and 0.1781 mg/L against the three pathogens, representing reductions of 66.0%, 77.7%, and 92.1% compared to the most effective single application of propiconazole. At 10 mg/L, T10 increased inhibition rates by 62.62%, 77.53%, and 20.85% against the three pathogens, respectively, compared to propiconazole alone. Propidium iodide (PI) staining revealed increased cell membrane permeability in T10-treated pathogens, suggesting that membrane damage may contribute to its antifungal effect. This study provides a robust scientific basis for sustainable disease management of this high-value selenium-enriched vegetable crop. Full article

The variegated cutworm Peridroma saucia Hübner, a recently emerged polyphagous pest in China’s Huang-Huai River Basin, uses sex pheromones (Z)-11-hexadecenyl acetate (Z11-16: Ac) and (Z)-9-tetradecenyl acetate (Z9-14: Ac) for mate finding. Insect pheromone-binding proteins (PBPs) serve as the primary filter for detecting specific sex pheromones. Although comprehensive functional analyses of PBPs exist, their binding mechanisms remain poorly characterized. In this study, we elucidated the binding properties and mechanisms of PsauPBP3 in sex pheromone recognition by computational and experimental approaches. PsauPBP3, predominantly expressed in male P. saucia antennae, showed high binding affinity for both Z11-16: Ac and Z9-14: Ac, as demonstrated by binding-free-energy calculations and fluorescence binding assays. Molecular dynamics simulations and docking studies identified five key residues (Thr-10, Phe-13, Ile-53, Ile-95, and Phe-119) that consistently interact with these pheromones, indicating their critical role in ligand binding. Computational alanine scanning further demonstrated that all five residues act as binding determinants, with Phe-13 and Ile-95 making particularly significant contributions to ligand affinity. The results were further validated by site-directed mutagenesis and fluorescence binding assays. This work provides insights into the function and binding mechanisms of PBPs in sex pheromone recognition and supports the development of targeted mating disruption strategies for P. saucia control. Full article

Purpose of Review—sleep disturbance is the main complaint associated with patients who suffer acute postoperative pain. Sleep disturbance may also increase the pain sensitivity and contribute to the development and maintenance of chronic pain. The pathophysiology of pain is complex; management of perioperative pain and preventing chronic pain are challenges in clinical. Use of opioids for pain management are still a therapeutic mainstay and generally safe when taken, in a short time, for severe postoperative pain relief. For long-term use tolerance may be developed, and for their euphoric property, addiction, overdose incidents, and even death may be the social problems. Therefore, the opioid-sparing multimodal analgesia (MMA) for pain management is recommended in current postoperative pain management. The successful MMA for pain management will enhance patient recovery after surgery with less chronic CPSP and long-term opioid use disorder (OUD). The present review discusses all currently used analgesics actions and interactions, and opioid-sparing or opioid-free analgesia in perioperative pain management. Acute pain following major trauma or surgery may originate from both nociceptive and neuropathic mechanisms. Approximately 10–50% of surgical patients develop chronic postoperative pain, which not only causes persistent discomfort but also leads to functional limitations and psychological distress. Growing evidence highlights a close and bidirectional relationship between sleep and pain: pain disrupts sleep architecture, while sleep deprivation intensifies pain sensitivity and impairs recovery. This reciprocal interaction forms a vicious cycle that poses challenges for effective pain management. Melatonin—a neurohormone secreted by the pineal gland—plays a crucial role in regulating circadian rhythm and sleep–wake cycles. Beyond its chronobiotic action, melatonin exhibits anti-nociceptive, anti-inflammatory, and opioid-sparing properties. Recent preclinical studies have demonstrated that exogenous melatonin can attenuate nociceptive responses to noxious stimuli and enhance morphine analgesia while attenuating morphine tolerance. Moreover, environmental light manipulation preserving the circadian rhythm has been shown to synergistically maintain melatonin secretion, improve sleep quality, and modulate neuroimmune responses involved in pain regulation. Together, these findings suggest that circadian alignment and melatonin supplementation may represent a promising integrative approach for improving both pain control and sleep health in perioperative and chronic pain conditions. Chronic pain patients frequently experience opioid tolerance during long-term therapy, resulting in diminished analgesic efficacy and a need for escalating doses. Our recent work revealed that constant light exposure suppresses endogenous melatonin, heightens pro-inflammatory cytokines (TNF-α, IL-1β), reduces IL-10, and accelerates morphine tolerance in a neuropathic pain model. In contrast, maintaining circadian light–dark cycles or supplementing melatonin preserves melatonin rhythm, reduces glial activation, and sustains morphine antinociception. Melatonin’s co-administration not only attenuates morphine tolerance but also enhances morphine efficacy through the modulation of inflammatory and glial pathways. These findings underscore melatonin’s multifaceted role as both a chronotherapeutic and neuroprotective agent, integrating circadian regulation with pain modulation. Clinically, the application of melatonin or circadian-aligned strategies could guide personalized pain and sleep management, offering safer and more effective multimodal analgesic protocols with reduced opioid dependence and improved quality of life. Full article

Vehicle platooning is a cooperative driving scenario in which a set of consecutive, connected and autonomous vehicles travel at the same speed while controlling their inter-vehicular distance. Organising traffic in platoons of vehicles can mitigate issues in road transport by improving safety, energy efficiency, and road usage. Vehicle platooning scenarios are enabled by communication across the fleet, allowing the design of distributed controllers to impose cooperative vehicle motion. In contrast to initial control strategies tailored for specific network topologies, the last decade has witnessed a substantial increase in vehicle platooning control solutions that treat the cooperative platoon motion as the synchronisation of a network of dynamic systems, thereby enabling their use across a wider range of topologies. Despite numerous publications in recent years, the literature lacks a comprehensive survey of network synchronisation methods for vehicle platooning. To fill this gap, this paper aims to review network synchronisation strategies proposed for controlling the longitudinal motion of vehicle platoons over the period 2013–2025, with particular focus on contributions from 2018 onwards. The literature on network-synchronisation-based vehicle platooning methods is reviewed within a four-component framework. Then, the most widely used families of distributed consensus controllers are analysed, and the ways in which heterogeneity, nonlinearities, delays, packet drops, external disturbances, and cyber attacks are accounted for and mitigated are examined, along with different types of closed-loop stability. The review also surveys approaches from the literature for validating and assessing synchronisation algorithms in vehicle platoons, covering both experimental and simulation studies, as well as the related simulation platforms. The review paper concludes by presenting research trends and gaps, as well as potential future directions. Full article