Search Results (10,928)

Biological control is one of the most effective strategies for managing crop fungal diseases such as rice blast, which severely threatens global food security. However, the limited availability of microbial biocontrol resources and incomplete understanding of their mechanisms hinder the development of practical biocontrol technologies for rice blast. In this study, a Bacillus stercoris strain, JK-6, isolated from the rhizosphere soil of rice, was identified as a promising biocontrol agent with strong antagonistic activity against multiple fungal pathogens. The fermentation broth of JK-6 yielded inhibition rates of 94.96% against Magnaporthe oryzae (rice blast), 75.83% against Bipolaris maydis (maize southern leaf blight), and 70.46% against Fusarium graminearum (wheat head blight). Whole-genome sequencing of JK-6 revealed 12 biosynthetic gene clusters, one of which was responsible for the biosynthesis of the lipopeptide surfactin. Further assays showed that 200 μM surfactin exhibited broad-spectrum antifungal activity, with inhibition rates of 82.90%, 66.76%, and 52.54% against M. oryzae, B. maydis, and F. graminearum, respectively. Mechanistically, surfactin suppresses fungal growth by downregulating genes involved in integral and intrinsic membrane components and oxygen transport, as validated by transcriptomic analysis. Our discoveries not only advance the conceptual understanding of the surfactin-mediated JK-6 antagonistic activity against fungal diseases but also offer an effective new approach for the practical control of crop fungal diseases. Full article

The purpose of this study is to explore how Zimbabwean firms use Environmental Management Accounting (EMA) and climate risk disclosure amid climate policy uncertainty and how managers perceive these practices as relevant to organisational resilience and long-term sustainability within a volatile institutional and macroeconomic context. The study was couched in the interpretivist research philosophy and adopted the inductive research approach. A case study research design, which aligns with a qualitative research design, was chosen for the study. The study employed in-depth interviews with management accountants, finance executives, and industry leaders across firms in Harare. The study adopted the cross-sectional time horizon and analysed data using thematic analysis to develop insights into the role of EMA and climate risk disclosure in times of policy uncertainty. The findings suggest that participants perceived climate policy uncertainty as influencing organisational efforts to reconfigure management accounting practices through greater environmental performance monitoring, adaptive budgeting, and scenario-based planning. The findings of this study suggest that organisational actors interpreted climate policy uncertainty as a condition requiring greater flexibility in budgeting, environmental monitoring, and strategic planning. Participants in this study associated EMA with improved environmental cost visibility and more adaptive approaches to investment appraisal and risk management under uncertain policy conditions. Similarly, participants perceived climate risk disclosure as increasingly crucial for strengthening organisational legitimacy, stakeholder confidence, and institutional credibility. While respondents linked sustainability-oriented accounting adaptation to broader organisational resilience and long-term sustainable growth aspirations, these relationships were understood through managerial perceptions and organisational experiences rather than as directly measurable macroeconomic outcomes. The study contributes to the sustainability accounting literature by providing qualitative, context-sensitive insights into how managers in an emerging economy interpret climate policy uncertainty and adapt EMA and climate risk disclosure practices within volatile institutional conditions. The study further contributes by integrating sensemaking theory and institutional theory to explain how organisational interpretations of uncertainty shape sustainability-oriented accounting adaptation and perceptions of organisational resilience. It is therefore recommended that the regulatory institutional pillar be strengthened to reduce uncertainty and enhance the EMA’s strategic adaptation. Full article

The Asian swamp eel (Monopterus albus), a commercially important freshwater aquaculture species in China and Southeast Asia, has attracted growing scientific interest owing to its natural protogynous hermaphroditism and substantial economic significance. Recent advances in genomics technologies have provided new insights into genetic improvement, disease resistance, and growth optimization in this species. However, a cohesive, up-to-date synthesis of the current genomic research landscape remains lacking. This review systematically summarizes progress in Asian swamp eel genomics: (i) reference genome development; (ii) population-level genetic diversity analysis; (iii) genome annotation and functional gene prediction; and (iv) applications of genomics in selective breeding, disease resistance enhancement, and growth performance optimization. We further evaluate emerging tools and platforms, highlight key technical constraints, and address ethical considerations and regulatory gaps in genome-informed aquaculture practices. Finally, we propose priority research avenues to strengthen the scientific foundation for resilient and sustainable swamp eel aquaculture. Full article

Rechargeable zinc-based batteries (ZBBs) have attracted considerable attention for use in large-scale energy storage systems due to their inherent high safety, low cost, and environmental friendliness. However, the practical applicability of ZBBs is limited by challenges related to the anode—such as uncontrollable zinc dendritic growth, the hydrogen evolution reaction (HER), and corrosion—which lead to significant polarization, capacity degradation, and unsatisfactory Coulombic efficiency of the ZBBs. Polyacrylamide (PAM)-based hydrogels have emerged as promising electrolyte materials to address these challenges due to their superior mechanical properties, flexibility, high ionic conductivity, and structural designability. Considering the rapid increase in research attention regarding this topic, we comprehensively summarize recent progress in PAM-based hydrogels as electrolytes for ZBBs in this study. First, we discuss the key challenges associated with Zn anodes in ZBBs, together with corresponding optimization strategies. Next, we detail the fundamental structure, properties, and synthesis of PAM-based hydrogels. Then, the relationships among synthetic methods, nano/microstructures, and electrochemical properties are systematically reviewed and discussed. Finally, prospects for the rational design and application of PAM-based hydrogels in ZBBs are summarized. Full article

Supercooled large droplets (SLDs), typically defined as droplets with diameters exceeding 100 μm, represent a significant meteorological hazard to aviation safety. Unlike conventional cloud-sized droplets, SLDs have higher inertia and can follow more ballistic trajectories, leading to impingement well aft of leading-edge ice protection systems. SLD icing is further complicated by high-speed splashing, secondary-droplet re-impingement, delayed solidification, and surface water runback. This paper reviews recent progress in understanding SLD impact, splashing, surface water transport, and ice accretion. The review discusses droplet impact on dry and wet surfaces, oblique impingement, ambient-air effects, non-instantaneous solidification, runback dynamics, and downstream ice growth. Emerging ice protection technologies, including superhydrophobic, lubricant-infused, and compliant surfaces, are also evaluated. By synthesizing these developments, this review connects fundamental droplet-impact physics with practical aviation icing challenges and mitigation strategies. Full article

This paper presents a three-dimensional generalization of the M-integral, formulated as an interaction integral based on a bilinear strain energy density, for the mixed-mode decoupling of crack front energies in finite structural components. The proposed $M_{\theta }^{3D}$ integral combines real and virtual mechanical fields within a local spherical reference frame, enabling the separate evaluation of mode I (opening), mode II (in-plane shear) and mode III (out-of-plane shear) energy release rates along arbitrary crack front lines. The theoretical framework, derived from Noether’s theorem and the virtual work principle, is implemented in the Cast3M finite element code using a toroidal integration domain with a local theta weighting function. Numerical validations are conducted on the Mixed-Mode Crack Growth (MMCG) specimen, a geometry representative of structural components subjected to combined tension and shear. Three key findings are demonstrated: (i) practical domain independence is achieved for all three fracture modes; (ii) the three-dimensional approach converges to the plane-stress solution for thin specimens and reveals significant deviations from plane-strain assumptions; (iii) even under nominally mode I + II loading, a non-negligible mode III component emerges due to Poisson-induced out-of-plane effects, with magnitude increasing at free surfaces and for thicker geometries. These results indicate that finite-thickness and out-of-plane effects can significantly affect the partition of fracture energy between modes. For the MMCG configuration investigated here, the three-dimensional formulation shows the limitations of two-dimensional assumptions and provides an energetic basis for the analysis of mixed-mode fracture in finite-thickness components. Full article

Insect larvae are naturally part of the diet of farmed animals, for instance poultry, pigs, and fish. Thus, the black soldier fly, Hermetia illucens (Linnaeus, 1758) (Diptera: Stratiomyidae) has been grown for use as a source of protein in animal feed. Black soldier fly larvae (BSFL) feed on various organic materials and bioaccumulate the nutrients obtained from the organic materials. This results in BSFL with protein content ranging from 25 to 60% depending on the type of organic material fed. Feeding strategies customized for optimizing BSFL growth and protein deposition are essential for sustainably increasing the production of BSFL to meet the growing demand for their use in animal feed. Feeding strategies for sustainable BSFL production should: ensure nutrient utilization efficiency to optimize BSFL growth and protein deposition; use readily available local organic material of good nutritional quality, safe, and acceptable for use in the animal feed industry; ensure economic and environmental sustainability; and adhere to existing legislature. While substantial information on feeding BSFL is available in different data sources, the literature mainly focuses on increasing BSFL production without integrating sustainability issues, especially economic and environmental sustainability. The objective of this review was to synthesize and consolidate existing information on feeding strategies for BSFL production from different sources and point out sustainable feeding strategies, existing knowledge gaps, and aspects that require further research. The purpose of the review is to provide information on feeding practices for the sustainable production of BSFL to meet the growing demand for BSFL in animal feed. This will contribute to improved food security, environmental management, and job creation. BSFL can feed on mixed organic material food sources more efficiently, reducing the volume of the food by up to 72%, while bioaccumulating the nutrients better than when feeding on individual organic sources such as fruit or vegetable waste. Full article

The rapid growth of the green bond market has intensified the need for transparent and reliable monitoring systems, particularly in circular-economy environments characterized by complex, multi-stakeholder, and dynamic interactions. However, existing monitoring approaches still rely heavily on static, issuer-driven disclosures, which sustain information asymmetry and increase the risk of greenwashing. This study systematically reviews the role of digital technologies in enhancing green bond monitoring within circular economy systems. A systematic literature review (SLR) was conducted using the Scopus database, covering publications from 2022 to 2026 and yielding 56 eligible studies. A bibliometric analysis using VOSviewer identified major research trends, thematic clusters, and collaboration patterns within the field. The findings reveal four dominant technological pillars—blockchain, artificial intelligence (AI), Internet of Things (IoT), and digital twin—that support data verification, automated analytics, real-time environmental monitoring, and system-wide integration. Although these technologies show significant potential, the literature remains fragmented and lacks comprehensive monitoring architectures that integrate technological, governance, and regulatory dimensions. This study contributes to the literature by synthesizing these technologies through a business informatics perspective and highlighting digital twin architectures as a promising foundation for integrated green bond monitoring. The findings provide practical insights for regulators, issuers, and investors seeking interoperable, transparent, and trustworthy monitoring ecosystems that strengthen accountability and credibility in sustainable finance. Full article

Background/Objectives: Latent fingerprints are routinely recovered from conventional porous and non-porous substrates; however, biologically active surfaces such as plant leaves are generally regarded as unsuitable for dactyloscopic evidence. Because vegetation is frequently present at crime scenes, this study aimed to systematically evaluate whether plant leaves can retain usable friction ridge detail and to determine the durability and forensic value of such traces under laboratory and outdoor conditions. Methods: Latent fingerprints were deposited on leaves of multiple plant species (maple, ash, dandelion, bird cherry, chestnut, climbing ivy, and five-leaved ivy) under dry and hydrated conditions and at defined time intervals after deposition. Visualization was performed using several powders, with SupraNano Fluorescent Green magnetic powder providing the best performance. Developed impressions were photographed using controlled illumination and evaluated using automated quality assessment (NFIQ 2.0) and comparison software (Innovatrics IDkit 9.1.7.1004). Additional experiments examined living, growing leaves exposed to natural weather conditions for extended periods. Results: Usable ridge detail was successfully visualized on all tested species. Bottom leaf surfaces and hydrated samples generally provided better preservation and contrast. Identifiable traces persisted for up to 20 h on detached leaves and for up to 35 days on living leaves despite growth-related deformation. Under outdoor exposure, fingerprints on ivy remained visible and comparable for up to 60 days. Although overall automated quality scores were reduced by background venation, selected impressions achieved measurable comparison scores and successful matches. Conclusions: Plant leaves can serve as unconventional yet viable carriers of latent fingerprints. Magnetic fluorescent powder development combined with careful documentation enables recovery of forensically useful ridge detail even after prolonged environmental exposure. These findings expand the range of substrates that should be considered during crime scene processing and provide practical guidance for evidence collection on vegetation. Full article

Excessive concentrations of carbon dioxide (CO₂) in the atmosphere lead to adverse environmental effects. Biologically assisted processes that rely on organisms such as microalgae (i.e., Chlorella vulgaris) are common in capturing CO₂ from the atmosphere. Microalgae are rich in proteins, vitamins, minerals, and omega-3 fatty acids. Thus, microalgae production serves both health and environmental sectors. Varying light intensity and temperature are shown to influence algae growth. To quantify algae production under different light intensity and temperature conditions, and monitoring or scaling-up of biological reactors, reliable mathematical models are required. In this work, mathematical models that incorporate light intensity and temperature effects on algae growth in batch and continuous bioreactors are developed. Based on the modeling, the growth rate is maximum at T_opt = 25 °C, reaching the value of μ_max = 0.14 day⁻¹. The growth rate exponentially increases until light intensity (I) reaches around 150 ${\displaystyle \frac{\mathsf{\mu }\mathrm{m}\mathrm{o}\mathrm{l}}{{\mathrm{m}}^2\mathrm{s}}}$, which is approximately the optimal light intensity for Chlorella vulgaris. The effect of T on growth rate is found to be more sensitive than light intensity (I) in both batch and continuous reactor systems. When there are too many parameters in models, uncertainties exist and parameter estimation and model predictions become cumbersome. For these reasons analytical solutions to the models are presented in simplified forms and these models are more practical and easier to implement. The novelty of the work is also the presentation of the models in analytical forms. Analytical solutions to the two reactor models (batch and continuous) will help quantify biomass production as a function of time under the varying light intensity and temperature conditions encountered. Full article

Soil salinity inhibits biological nitrogen fixation (BNF) in legumes, compromising nitrogen nutrition and crop productivity. This study evaluated whether two halotolerant Mesorhizobium ciceri strains (S1, S2) can sustain BNF and alleviate moderate salt stress (100 mM NaCl) in three Tunisian chickpea (Cicer arietinum L.) cultivars (Amdoun, Béja 1, and Nour). Inoculated and non-inoculated plants were grown under controlled conditions. Salinity reduced shoot dry weight by 37.5–42% and severely impaired nodulation (≈60% reduction) in non-inoculated plants. Bacterial inoculation significantly increased germination rate, shoot and root biomass, and nodule number compared to non-inoculated salt-stressed controls. Improved nodulation corresponded to better nitrogen nutrition, reflected by higher leaf chlorophyll content (a proxy for nitrogen status). However, direct measurements of nitrogenase activity (e.g., acetylene reduction assay) are needed to confirm enhanced BNF. Inoculated seedlings also exhibited lower oxidative stress markers (hydrogen peroxide and malondialdehyde) and enhanced antioxidant enzyme activities (superoxide dismutase and glutathione peroxidase), indicating reduced reactive oxygen species damage. Cultivar-specific responses were observed: Amdoun responded best to S1, Béja 1 to S2 for biomass recovery, while Nour showed strong antioxidant induction but limited growth gain. We conclude that halotolerant M. ciceri strains improve chickpea performance under salt stress primarily by sustaining BNF and nodulation, thereby maintaining nitrogen nutrition. Strain–cultivar compatibility is critical for optimizing this bio-inoculant strategy in saline agroecosystems. Our findings identify the combination of cultivar Béja 1 with strain S2 as the most promising for biomass recovery under moderate salinity, providing a practical, strain–cultivar matching framework that can guide the development of effective bio-inoculants for chickpea production in salt-affected areas of Tunisia and similar Mediterranean regions. Full article

Cancer is a genetic disease driven by the accumulation of mutations that disrupt normal cellular growth. Among the most frequently mutated families are protein kinases, inositol polyphosphate kinases, and GTPases, which together function as central molecular switches controlling proliferation, survival, and metabolism. In cancer, activating mutations in protein kinases, such as EGFR and BRAF, lead to uncontrolled downstream signaling by locking these enzymes in a constitutively active state. Similarly, mutations affecting inositol kinases, notably PI3KCA, hyperactivate the PI3K/AKT pathway, promoting relentless cell survival and resistance to apoptosis. GTPases, particularly Ras family members (KRAS, NRAS, HRAS), are classical oncogenes where single amino acid substitutions impair their intrinsic GTP hydrolysis activity, trapping them in a persistently GTP-bound “on” state. This unleashes continuous mitogenic signaling independently of external growth factors. Collectively, these mutations are not random but converge on a limited set of core pathways, making them key drivers of tumor initiation and progression. Understanding the specific molecular consequences of kinase and GTPase mutations has directly informed the development of targeted therapies, including small molecule inhibitors and monoclonal antibodies, now used in routine clinical practice. Full article

Rapid urbanization and population growth have intensified solid waste management (SWM) challenges in developing countries, where institutional capacity and stakeholder participation remain limited. Existing studies, particularly in the context of Pakistan, largely examine isolated technical or environmental aspects, with limited integration of sustainability dimensions and stakeholder dynamics. This study develops and empirically validates an integrated structural equation modeling (SEM) framework to examine the interrelationships among sustainable solid waste management systems (SSWM), stakeholder engagement (SE), and solid waste management strategies (SWMS). Primary data were collected from 420 stakeholders representing diverse groups. The measurement model demonstrated strong reliability and validity, while the structural model exhibited excellent fit indices. Results indicate that economic, social, technical and environmental and institutional dimensions significantly shape SSWM. Structural path analysis reveals that SSWM significantly influences SE and SWMS, while SE has a significant effect on SWMS. Mediation analysis confirms that SE partially mediates the relationship between SSWM and SWMS, highlighting the critical role of participatory governance. The findings demonstrate that achieving sustainable waste management requires the integration of system-level capacity, stakeholder engagement, and strategic implementation. This study contributes to the sustainability literature by providing a holistic framework and providing understanding for policymakers to promote circular economy practices and resource efficiency in developing countries. Full article

Plastic waste presents a significant environmental and public health concern in Malawi, where rapid urban growth, limited waste collection services, and informal disposal practices contribute to persistent plastic waste hotspots. In Lilongwe City, the waste collection rate has been reported ranges from 10% to 30%. This means that out of the 500 to 600 tons of municipal solid waste produced each day, only about 50 to 150 tons are collected daily. These hotspots occur in settings such as drains, markets, settlement edges, riverbanks, and lakeshore environments. They intensify health-relevant exposure pathways by encouraging stagnant water, increasing flood risk, facilitating open burning, and supporting the formation of plastisphere biofilms that can contain pathogenic and antimicrobial resistant organisms. This research synthesises evidence on the main sources of plastic waste in Malawi, the mechanisms of leakage across different environments, and the associated health implications. It uses a scoping approach aligned with PRISMA-ScR guidance and is informed by the UK Research and Innovation (UKRI) funded Sustainable Plastic Attitudes to benefit Communities and their Environments (SPACES project), which highlights the influence of behavioural, governance, and environmental factors on plastic pollution. A two phase, risk-based decision framework to support targeted management of plastic waste hotspots is described. Phase 1 focuses on rapid harm reduction through the identification and ranking of hotspots according to risk severity, spatial extent, and feasibility, guiding timely interventions such as drain clearance, waste capture, and temporary stabilisation. Phase 2 addresses longer term prevention by tackling upstream drivers through policy measures, improved services, reuse and reduction schemes, and community engagement. The framework has been developed using evidence from Malawi; however, its methodology could be applied to other low- and middle-income countries that experience similar constraints and exposure pathways. The framework offers a transparent and practical tool for decision makers seeking to allocate limited resources effectively while reducing environmental and health risks associated with plastic waste. Full article

Climate change is intensifying water scarcity in the Mediterranean region, placing the Antalya province of Türkiye at significant risk due to declining water availability, rapid population growth, and intense tourism activities which increase seasonal demand. This study forecasts population and urban water demand until 2050 and evaluates several water loss reduction scenarios for the city’s drinking water distribution network. In developing the forecasted water demand, the analysis incorporates several water loss reduction scenarios. These include a baseline scenario maintaining current water loss levels, a moderate improvement scenario aligned with Türkiye’s national regulatory targets, and an advanced scenario achieving international best practices. Results show that reducing water losses, caused mainly by aging infrastructure, pressure fluctuations, and leaks, can substantially decrease total water demand. Improved network efficiency is therefore essential for maintaining long-term water security and supporting climate change adaptation efforts in Antalya. Full article