Search Results (1,244)

Root-knot (Meloidogyne spp.) and false root-knot (Nacobbus aberrans) nematodes limit greenhouse tomato productivity. The effectiveness of integrating pre-plant biofumigation with post-plant chemical, biological, and botanical inputs was assessed under commercial conditions. A split-plot trial (2019) contrasted biofumigated and non-biofumigated whole plots (50 t ha⁻¹ of sorghum residues plus poultry and sheep manures) and 13 subplot treatments (fluopyram, Purpureocillium lilacinum, Pochonia chlamydosporia, Trichoderma viride, Tagetes erecta, and plant oil formulations). Nematodes were sampled 0, 60, and 120 days after transplanting, and the area under the nematode population curve (AUNPC), area under the root-damage curve (AURDC), and yield were analyzed. Biofumigation reduced pre-transplant N. aberrans populations by 86% and lowered the AUNPC by 39% relative to the non-biofumigated treatment; the whole-plot yields did not differ. Meloidogyne incognita remained at a very low density throughout. Among the subplot treatments, fluopyram decreased the AURDC by ≈22% and more than doubled the yield (63 vs. 26 t ha⁻¹; +142%), while the AUNPC of N. aberrans was unchanged. Biological and botanical packages reduced damage indices in some cases but did not increase the yield. No whole-plot × subplot interaction was detected for the yield. The results indicate that sorghum-based biofumigation, complemented by a low-risk nematicide at transplanting, can be embedded in integrated nematode-management programs for greenhouse tomato. Full article

Marine pollution incidents pose significant threats to marine ecosystems and coastal communities across Pacific Island nations, necessitating advanced predictive capabilities for effective environmental management. This study analyzes 8133 marine pollution incidents from 2001–2014 across 25 Pacific Island nations to develop predictive models for pollution type classification, hotspot identification, and seasonal pattern forecasting. Our analysis reveals Papua New Guinea as the dominant pollution hotspot, experiencing 51.9% of all regional incidents, with plastic waste dumping comprising 78.8% of pollution events and exhibiting pronounced seasonal peaks during June (coinciding with critical fish breeding periods). Machine learning classification achieved 99.1% accuracy in predicting pollution types, with material composition emerging as the strongest predictor, followed by seasonal timing and geographic location. Temporal analysis identified distinct seasonal dependencies, with June representing peak pollution activity (755 average incidents), coinciding with vulnerable marine ecological periods. The predictive framework successfully distinguishes between persistent geographic hotspots and episodic pollution events, enabling targeted conservation interventions during high-risk periods. These findings demonstrate that pollution type and location are highly predictable from environmental and temporal variables, providing marine conservationists with tools to anticipate when and where pollution will most likely impact fish populations and ecosystem health. The study establishes the first comprehensive baseline for Pacific Island marine pollution patterns and validates machine learning approaches for proactive pollution monitoring, offering scalable solutions for protecting ocean ecosystems and supporting evidence-based policy formulation across the region. Full article

Traditional chemical-based sanitizers pose risks to health and the environment, highlighting the need for safer natural alternatives. We developed biocompatible hydrogels from carbohydrate-based biopolymers, chitosan (1.5% and 2.5%), and carboxymethylcellulose (CMC, 3% and 5%), each incorporating one of four antimicrobials: microcin J25, nisin Z, pediocin PA-1, or reuterin. Hydrogels were prepared by dissolving the polymers in aqueous solution and incorporating antimicrobials before gelation. The formulations were characterized using viscosity measurements, antimicrobial assays, and stability testing over 28 days of storage at room temperature (23–25 °C). Chitosan hydrogels with microcin J25 maintained strong activity against Salmonella enterica ATCC 6962, while nisin Z retained activity in gel and solution forms, though with some decline during storage. Pediocin PA-1 remained active in 1.5% and 2.5% chitosan hydrogels against Listeria monocytogenes ATCC 19115, but activity was lost in 3% and 5% CMC hydrogels. Reuterin preserved activity in CMC-based hydrogels throughout storage. In solution, microcin J25 and nisin Z consistently achieved ~7-log reductions, whereas pediocin PA-1 and reuterin reached up to ~5-log reductions. In gels, efficacy decreased at lower concentrations and shorter contact times, likely due to diffusion barriers. Overall, the hydrogels remained stable during storage, and CMC- and chitosan-based matrices with selected antimicrobials show promise as alternatives to chemical sanitizers. Their application should be tailored to specific needs, with formulations requiring longer contact times best suited for surfaces that allow prolonged exposure. Full article

Conogethes punctiferalis (Guenée, 1854) is a polyphagous pest with a wide host range and strong reproductive ability, and its potential threat to agricultural production cannot be ignored. Based on the optimized maximum entropy niche model, this study evaluated potential suitable habitats for C. punctiferalis in China and their dynamic changes under current conditions (Model 1: bioclimatic factors + elevation; Model 2: bioclimatic factors + elevation + human activity) and four different future climate scenarios (Model 3: bioclimatic factors + elevation + human activity). The results suggest that the potential suitable habitats for C. punctiferalis are mainly driven by a combination of temperature, precipitation, elevation, and human activity. Under current conditions, suitable habitats are mainly concentrated in southern Northeast China, North China, the Yangtze River Basin, and its south regions; highly suitable areas are primarily located in the main maize-producing regions of the Huang-Huai-Hai Plain. The area of suitable habitats predicted by Model 2 is smaller than that predicted by Model 1. Under future climate scenarios, the potential distribution range of C. punctiferalis will show an expanding trend, with the expanded area larger than the contracted area. Compared with Model 2, the suitable areas are expected to increase under Model 3 by approximately 91,799 km² to 723,711 km². This study provides an important basis for assessing the potential hazard risk of C. punctiferalis and is of major significance in guiding the formulation of targeted integrated pest management strategies and protecting the safety of agricultural production. Full article

To address the challenges of weak power-grid infrastructure, insufficient power supply capacity along mountainous railways, and severe three-phase imbalance caused by imbalanced traction loads at the point of common coupling (PCC), this paper proposes an energy storage configuration method for mountainous railway power grids considering renewable energy integration. First, a distributionally robust chance-constrained energy storage system configuration model is established, with the capacity and rated power of the energy storage system as decision variables, and the investment costs, operational costs, and grid operation costs as the objective function. Subsequently, by linearizing the three-phase AC power flow equations and transforming the model into a directly solvable linear form using conditional value-at-risk (CVaR) theory, the original configuration problem is converted into a mixed-integer linear programming (MILP) formulation. Finally, simulations based on an actual high-altitude mountainous railway power grid validate the economic efficiency and effectiveness of the proposed model. Results demonstrate that energy storage deployment reduces overall system voltage deviation by 40.7% and improves three-phase voltage magnitude imbalance by 16%. Full article

Background/Objectives: Biochemical recurrence (BCR) occurs in 15–40% of men within five years of radical prostatectomy (RP), presenting a major challenge for long-term disease control. While salvage radiotherapy (SRT) and androgen deprivation therapy (ADT) are established post-RP interventions, the optimal integration of ADT with SRT—regarding timing, duration, and patient selection—remains unclear. We aimed to synthesize current clinical evidence on the efficacy and safety of combining ADT with SRT in patients experiencing BCR after RP. Methods: A narrative review was conducted, encompassing retrospective cohort studies, prospective randomized controlled trials (notably RTOG 9601, GETUG-AFU 16, RADICALS-HD, and SPPORT), and meta-analyses. Studies were selected based on relevance to combined ADT + SRT versus SRT alone, with outcomes of interest including biochemical progression-free survival (bPFS), metastasis-free survival (MFS), and overall survival (OS). Trial characteristics, ADT duration (short-term [4–6 months] versus long-term [≥24 months]), radiation scheme, and prostate specific antigen (PSA) thresholds at SRT initiation were extracted and compared. Results: The combination of ADT and SRT represents a promising strategy for the treatment of prostate cancer with BCR after RP. Current evidence supports its benefit in terms of disease control and survival, particularly in high-risk patients. Conclusions: Differences in inclusion criteria, ADT duration, and the heterogeneous quality of the available studies limit the formulation of universal recommendations. Well-designed prospective trials are needed to optimize therapeutic approaches and personalize treatment based on each patient’s risk profile. Full article

Background/Objectives: Quality-by-Design (QbD) is a proactive, risk-based, regulatory-endorsed approach to the development and manufacture of medicinal products but is rarely applied to medicines compounded by pharmacists. This study aims to apply the QbD approach to optimise the compounding processes for the aqueous cream and cetomacrogol cream formulations listed in the Australian Pharmaceutical Formulary and Handbook (APF). Methods: The creams were prepared by varying the process conditions, including oil and water phase temperatures, stirring speed, cooling environment temperature, and the temperature at the end of stirring. Thirty-two samples of each cream type were prepared using combinations of processing conditions defined by a three-level factorial design. The viscosity, spreadability and creaming index of samples were assessed as response variables, and results were analysed using Stat-Ease 360© software to determine the optimal processing conditions for the two creams. To validate the predictive model and assess further cream stability, triplicate creams of each formulation were prepared using the optimised conditions and evaluated for dynamic viscosity, spreadability and creaming index. Results: Optimal conditions for aqueous cream involved heating the oil and water phases to 60 °C and 80 °C, respectively, followed by stirring the two phases at 250 rpm at 10 °C until cooling to 50 °C. For cetomacrogol cream, optimal compounding required heating the oil and water phases to 70 °C and 75 °C, respectively, with stirring the two phases at 220 rpm at ambient temperature (25 °C) until cooling to 40 °C. The conditions predicted by the models successfully yielded creams that met all specified targets. Creams compounded under optimal conditions exhibited well-defined oil droplets, with uniform droplet size in aqueous cream and mild size heterogeneity in cetomacrogol cream. Freeze-thaw testing demonstrated that both optimised creams were stable with no observable phase separation. Conclusions: This study demonstrates that a systematic experimental approach to optimising compounding parameters for the APF aqueous cream and cetomacrogol cream resulted in high-quality, stable, and reproducible products. Formulary guidelines, such as the APF, could benefit from adopting QbD approaches to improve the standardisation of compounding instructions in pharmacy practice. Full article

Tooth whitening is increasingly sought in both clinical and home settings, raising concerns about the efficacy and safety of various whitening agents and their delivery systems. This narrative review compares the whitening performance and biocompatibility of active ingredients, including hydrogen peroxide, carbamide peroxide, activated charcoal, sodium bicarbonate, fluoride compounds, and blue covarine, with particular emphasis on the role of polymer-based carriers in formulation strategies. Hydrogen peroxide and carbamide peroxide remain the most effective agents for intrinsic whitening, but are associated with risks of enamel surface alterations, microhardness reduction, and potential cytotoxicity, particularly at higher concentrations. Sodium bicarbonate provides moderate whitening effects through extrinsic stain removal, while fluoride compounds play a supportive role by reducing demineralization and tooth sensitivity, thereby preserving enamel integrity. These properties make them valuable adjuncts or alternatives for patients with high sensitivity risks. Blue covarine offers immediate optical effects without inducing intrinsic color changes, whereas activated charcoal poses risks of enamel abrasion and surface roughness with limited long-term efficacy. Polymer-based carriers such as Carbopol gels, polyvinylpyrrolidone, and hydroxypropyl methylcellulose are incorporated into whitening formulations to improve viscosity, adhesion, and modulate the release of active ingredients. These polymers might help minimize diffusion of bleaching agents into deeper dental tissues, potentially reducing cytotoxic effects, and may improve handling characteristics. However, dedicated studies evaluating the unique advantages of polymers in different whitening systems remain limited. A comprehensive understanding of both the active ingredients and delivery technologies is critical to balancing esthetic outcomes with long-term oral health. From a clinical perspective, polymer-based carriers might contribute to reducing whitening-related tooth sensitivity, improving patient comfort, and providing more predictable treatment outcomes. Continued research is needed to clarify optimal formulations and application protocols, ensuring safer and more effective tooth-whitening practices in both clinical and home-use scenarios. Full article

In line with circular economy principles and the reduction of primary material exploitation, waste-to-energy (WtE) by-products such as bottom ash (BA) are increasingly being used as raw materials in cement and ceramics manufacturing. However, it is critical to verify that the final product presents not only adequate technical properties but also that it does not pose negative impacts to the environment and human health during its use. This study investigates the environmental compatibility of the use of ceramic porcelain stoneware tiles manufactured with BA as partial replacement of traditional raw materials, with a particular focus on the leaching behavior of the tiles during their use, and also after crushing to simulate their characteristics at their end of life. To evaluate the latter aspect, compliance leaching tests were performed on crushed samples and compared with Italian End-of-Waste (EoW) thresholds for the use of construction and demolition waste as recycled aggregates. Whereas, to assess the environmental compatibility of the tiles during the utilization phase, a methodology based on the application of monolithic leaching tests to intact tiles, and the evaluation of the results through multi-scenario human health risk assessment and the analysis of the main mechanisms governing leaching at different stages, was employed. The results of the study indicate that the analyzed BA-based tiles showed no significant increase in the release of potential contaminants compared to traditional formulations and fully complied with End-of-Waste criteria. The results of the monolith tests used as input for site-specific risk assessment, simulating worst-case scenarios involving the potential contamination of the groundwater, indicated negligible risks to human health for both types of tiles, even considering very conservative assumptions. As for differences in the release mechanisms, tiles containing BA exhibited a shift toward depletion-controlled leaching and some differences in early element release compared to the ones with a traditional formulation. Full article

Background/Objectives: Corneal re-epithelialization is a critical process following surgical procedures such as photorefractive keratectomy (PRK), phototherapeutic keratectomy (PTK), and corneal UV cross-linking (CXL), as well as cases of corneal abrasion. Delayed epithelial healing can lead to increased discomfort, a higher risk of infection, and suboptimal visual outcomes. This retrospective case series aims to evaluate the efficacy of a novel ophthalmic solution containing cross-linked carboxymethyl cellulose (CX-CMC) and silk proteins in promoting corneal re-epithelialization and improving post-surgical recovery. Patients and methods: A total of 15 patients who underwent PRK, PTK, or CXL or who presented with corneal abrasions were included in the study. Along with standard post-surgical treatment, patients received CX-CMC and silk protein-based eye drops (CORDEV, Ophtagon, Rome, Italy) six times a day. Corneal epithelial thickness was assessed using topography at follow-up visits. Results: Corneal re-epithelialization was observed in all subjects within 24 to 48 h post-procedure. The mean corneal epithelial thickness at 48 h was 73.21 µm, which falls within the typical range of a proliferating corneal epithelium. Conclusions: The CX-CMC and silk protein-based formulation accelerated corneal healing, achieving rapid epithelial recovery. This novel ophthalmic solution offers a promising alternative to conventional post-surgical treatments, potentially improving patient outcomes by reducing healing time, minimising discomfort, and lowering the risk of complications associated with delayed re-epithelialization. Full article

Amid China’s rural–urban integration and rural revitalization, the Centralized Residence of Farmers Policy (CRFP) emerges as a pivotal tool to optimize rural spatial structure and land-use efficiency, yet its implementation risks—particularly risk coupling effects—remain underexplored. This study addresses this gap by constructing a holistic risk assessment framework and empirically examining CRFP in L Town, Shanghai; it employs a multi-method approach, integrating the Delphi method, Analytic Hierarchy Process (AHP), and Cumulative Impact Model (CIM) to develop and validate a comprehensive risk assessment framework. This framework evaluates five key dimensions: policy content, implementation subjects, resource guarantees, target groups, and environmental adaptation. Empirical analysis of relocated farming households in L town reveals that the overall risk level of CRFP implementation falls within the moderate-risk range. Key identified risk factors identified include public opinion control, clarity of implementation standards, communication feedback accessibility, reliability of information resources, and effectiveness of implementation strategies. Based on these findings, the study proposes several risk mitigation strategies: aligning policies with local realities to promote high-quality social development, fostering collaborative digital governance through multi-stakeholder engagement, ensuring law-based policy formulation with transparent and supervised processes, enhancing public input through effective interest communication mechanisms, improving information dissemination with inclusive public participation, and adopting flexible implementation strategies. This research addresses fragmentation issues in the existing literature with a unified indicator system and provides actionable solutions that offer significant theoretical and practical value for advancing rural revitalization in the context of urban–rural integration. Full article

Driving safety hinges on the dynamic interplay between task demand and driving capability, yet these concepts lack a unified, quantifiable formulation. In this work, we present a framework based on a multimodal large language model that transforms heterogeneous driving signals—scene images, maneuver descriptions, control inputs, and surrounding traffic states—into low-dimensional embeddings of task demand and driving capability. By projecting both embeddings into a shared latent space, the framework yields an interpretable measurement of task difficulty that alerts to capability shortfalls before unsafe behavior arises. Built upon a customized BLIP 2 backbone and fine-tuned on diverse simulated driving scenarios, the model respects consistency within tasks, captures impairment-related capability degradation, and can transfer to real-world motorway data without additional training. These findings endorse the framework as a concise yet effective step toward proactive, explainable risk assessment in intelligent vehicles. Full article

With the rapid expansion of digital knowledge platforms and intelligent information systems, organizations and communities are producing a vast number of unstructured knowledge data, including annotated corpora, technical diagrams, collaborative whiteboard content, and domain-specific multimedia archives. However, knowledge sharing across institutions is hindered by privacy risks, high communication overhead, and fragmented ownership of data. Federated learning promises to overcome these barriers by enabling collaborative model training without exchanging raw knowledge artifacts, but its success depends on motivating data holders to undertake the additional computational and communication costs. Most existing incentive schemes, which are based on non-cooperative game formulations, neglect unstructured interactions and communication efficiency, thereby limiting their applicability in knowledge-driven scenarios. To address these challenges, we introduce SC-NBTI, a smart contract and Nash bargaining-based incentive framework for federated learning in knowledge collaboration environments. We cast the reward allocation problem as a cooperative game, devise a heuristic algorithm to approximate the NP-hard Nash bargaining solution, and integrate a probabilistic gradient sparsification method to trim communication costs while safeguarding privacy. Experiments on the FMNIST image classification task show that SC-NBTI requires fewer training rounds while achieving 5.89% higher accuracy than the DRL-Incentive baseline. Full article

Background: Dengue virus infection is a significant challenge for global health, with 100 million symptomatic cases, 2.3 million DALYs and 20,000 deaths annually. Dengue vaccines must provide long-lasting immunity against all four virus serotypes, especially in dengue-naïve individuals, in order to avoid the severe manifestations of secondary infections. Methods: This scoping review summarizes current evidence on licensed dengue vaccines and vaccine candidates, focusing on immunogenicity, efficacy, and safety outcomes. To identify relevant trials, in October 2023 we queried ClinicalTrials.gov using the search term “dengue vaccines” to identify past and present vaccine candidates; the search was repeated in February 2025. Vaccines were categorized into licensed (CYD-TDV and TAK-003), late-stage (TV003/TV005), and early-stage candidates (TDEN, DPIV, V180, TVDV). Results: CYD-TDV (Dengvaxia^®) showed moderate efficacy in large trials, with higher efficacy in seropositive than in seronegative individuals. Following commercialization, an increased hospitalization risk was discovered in the latter group. Due to these findings and impossibility of screening for prior exposure in endemic settings newer vaccines are now preferred and CYD-TDV production has recently been discontinued due to declining demand. TAK-003 (Qdenga^®) demonstrated high efficacy against virologically confirmed dengue (VCD) and dengue-related hospitalization. This vaccine was generally well tolerated and is currently recommended by scientific societies and national authorities for travelers and by WHO for routine use in adults and children in endemic settings. TV003 and TV005, developed by NIAID, showed strong immunogenicity and efficacy in phase II trials and human challenge models. Preliminary results show that a single-dose of TV003 has an efficacy of 79.6% in seronegatives and 89.2% in seropositives against VCD at a 2-year follow-up. Both formulations elicited tetravalent responses with an acceptable safety profile. Other vaccine strategies, including TDEN (live-attenuated), DPIV (purified inactivated), V180 (subunit), and TVDV (DNA-based) are still in early-phase development and suffer from waning antibody titers and limited efficacy in naïve subjects. Conclusions: The development of a safe and effective vaccine remains complex due to immunologic challenges. Currently, TAK-003 is regarded as the best option for broad implementation, while TV003 and TV005 remain promising candidates due to their shorter schedule and robust immunogenicity. Further research is needed to optimize vaccine strategies in seronegative populations, immunocompromised subjects, older adults, and travelers. Full article

Autonomous vehicles (AVs) are rapidly becoming a reality, with a series of cities in the world currently testing applications. Despite these developments, the existing analyses in the literature concerning the impacts of such developments on urban transportation systems have yielded a body of evidence marked by significant divergence and contradictory conclusions. Such conflicting findings critically hamper the synthesis of a coherent understanding and the formulation of evidence-based strategies, a challenge exacerbated by the potentially multifaceted nature of these impacts. The potential disruptive technology and the game-changing force of automated vehicles make this lack of congruence in analytical outcomes severely complicate efforts to derive clear insights or actionable conclusions. The purpose of the paper is to explore and define the optimal strategies for implementing autonomous vehicle technologies, to predict their effects on anomalies, in the Kuhnian sense, of urban transportation, and to propose a desirable urban vision and a paradigm shift consisting of a decline of car ownership dependence and the rise of shared AVs. This study is undertaken to address the escalating crisis in urban transportation globally. Cities are facing unprecedented strain due to rapid urbanization, leading to severe traffic congestion, pervasive air and noise pollution, significant safety risks, and persistent accessibility gaps, all of which profoundly diminish urban quality of life and impede economic vitality. The new vision has been assessed based on a literature selection, some qualitative and quantitative analyses, and applications and projects currently in testing. The results are largely positive and promise to change urban transportation radically, as well as to resolve the mismatches between the vision, what the paradigm predicts, and what is revealed in the implementation. The success of the vision ultimately depends on policy and regulation to manage the way in which AVs are implemented in urban areas, if they are not to lead to a worsening of the urban environment, accessibility, and health. This thoughtful implementation should address all potential challenges through integrated planning of transportation, land use, and digital systems. Full article