Search Results (36,927)

Artificial intelligence (AI) is increasingly applied in agriculture to support data-driven decision-making, improve productivity, and enhance resource management. Small-scale farmers, who produce a significant share of the world’s food yet often operate under resource constraints, may particularly benefit from these technologies. However, it remains unclear how AI research addresses the needs of small-scale farming systems and the extent to which farmers directly interact with AI tools. This study conducts a systematic literature review to examine the applications, impacts, and challenges of AI in small-scale agriculture. The review followed the PRISMA 2020 guidelines and applied a structured review methodology, using the Web of Science, Scopus, and EBSCOhost databases. A total of 182 studies were identified and analyzed. The results show a rapid increase in publications after 2020, with research concentrated mainly in Africa and Asia. Most studies focus on technical AI applications such as plant disease detection, crop yield prediction, crop classification, and environmental monitoring, commonly using machine learning and deep learning techniques. However, only a small number of studies examine farmers’ direct interaction with AI systems, including adoption, perceptions, and practical usage. This imbalance indicates that the literature remains largely technology-driven rather than farmer-centred. The review highlights important research gaps, particularly in farmer engagement, integrated farm management applications, and the translation of AI prototypes into scalable solutions. Future research should prioritize participatory approaches and context-sensitive AI systems to ensure that technological advances effectively support small-scale farmers and sustainable agricultural development. Full article

The Lombardy Region is characterised by relatively moderate seismic activity, particularly in the Alpine area and its western sector. Significant damage has instead been caused by historical earthquakes with magnitudes greater than M_W 5.0 in the eastern and south-western parts of the region. To enhance preparedness and prevention strategies, the Civil Protection Organisational Unit of Regione Lombardia, together with the Eucentre Foundation and the Civil Protection School of Lombardy (PoliS-Lombardia), organised a regional seismic emergency exercise, the so-called EXE.LOMB.EST 2023, which is an initiative aimed to test and train emergency response capabilities in parts of the region most at risk from seismic events. EXE.LOMB.EST 2023 was a civil protection technical–thematic exercise that involved various groups of participants through tailored training paths. With both educational and practical objectives, the exercise was developed over the course of 2023. In the six months leading up to the final event, approximately 12 training sessions were held to prepare participants according to the identified themes. The final field exercise took place from 9–14 October 2023, during the Italian Civil Protection Week, and included the participation of 15 municipalities. The programme was designed to simulate all key phases of regional emergency management, from activating support functions to assessing damage to cultural heritage. Participants included the Italian Civil Protection Department—as an advisor—the Italian Fire Department; UAS networks, the prefectures and provinces of Brescia, Cremona, and Mantua; municipal officials and certified structural damage assessment experts, with the latter sometimes simply identified as technical personnel and/or technical experts in what follows. The exercise was also a valuable opportunity to test and refine the most advanced emergency management technologies and systems in Italy. The paper discusses notable outcomes, in addition to key steps, and also highlights gaps and issues still open for further/future developments of similar exercises in Italy and abroad. Full article

Large-scale breeder chicken farms generate high-moisture manure, and all-in/all-out management can constrain continuous manure handling, especially during cold northern winters. This study proposed and evaluated a staged resource-recovery pathway for breeder chicken manure under all-in/all-out farm management. The pathway consisted of an implemented on-farm primary aerobic fermentation stage for rapid reduction and sanitization, an implemented centralized secondary aerobic fermentation stage for standardized organic fertilizer production, and a proposed solar-greenhouse-assisted low-temperature module for seasonal continuity support. System performance was assessed through a practice-based case evaluation using enterprise operational records, field investigations, and routine monitoring data on manure generation, process parameters, product quality, and logistics/cost indicators. The primary stage showed a relatively stable operational window across case farms, with fresh manure moisture contents of 85–90%, compost temperatures increasing from approximately 30 °C to 60 °C before declining to about 40 °C, and pH values ranging from 7.0 to 9.5, while batch duration and moisture-control pathways varied among farms. The secondary stage demonstrated standardized downstream processing capacity; the tested organic fertilizer complied with NY/T 525-2021, while the bio-organic fertilizer specifications met the benchmark requirements of NY 884-2012. The conceptual winter continuity-support module was discussed as a conceptual engineering supplement requiring future operational validation. Overall, the evaluated pathway may provide a practice-based reference for sustainable manure management, standardized fertilizer production, and circular agricultural resource recovery under intensive breeder chicken production conditions. Full article

Universities are increasingly required to demonstrate how their governance, stakeholder relationships, and institutional priorities contribute to long-term value creation and the Sustainable Development Goals (SDGs). Yet higher education institutions lack operational methodologies to address three interrelated questions: (RQ1) How should key stakeholder groups be determined for university integrated reporting (IR)? (RQ2) How should material issues be prioritised? (RQ3) How should university-related SDGs be mapped against these issues? This study proposes an evidence-based, multi-stage framework. To address RQ1, a hybrid Analytic Hierarchy Process–Technique for Order of Preference by Similarity to Ideal Solution (AHP–TOPSIS) model is applied: expert evaluations by the Executive Board of Burdur Mehmet Akif Ersoy University (Türkiye) weight five AA1000SES-derived criteria through AHP—revealing “Materiality” and “Impact” as most critical—after which TOPSIS ranks 23 stakeholder groups and identifies 13 key stakeholders, led by academics, students, administrative staff, and alumni. For RQ2, material issues are prioritised through a survey-based descriptive analysis of 320 respondents from these groups. For RQ3, the prioritised issues are mapped against the SDGs via a transparent procedure, with SDG 4 and SDG 17 emerging as dominant, followed by SDG 10 and SDG 9. The framework offers a replicable, practical basis for higher education governance, IR, and strategic sustainability management. Full article

Background: Bronchiectasis is a chronic respiratory condition characterised by irreversible airway dilation and recurrent infections, resulting in significant symptom burden and frequent healthcare utilisation. Although nurses are central to chronic respiratory disease management, their specific roles and responsibilities in outpatient bronchiectasis care remain poorly defined. Understanding these roles is imperative to support workforce planning, optimise multi-disciplinary collaboration, and improve patient outcomes. Aim: This scoping review aimed to map and synthesise existing evidence on the roles and responsibilities of nurses involved in the outpatient management of adults with non-cystic fibrosis bronchiectasis. Methods: A scoping review was conducted. Six databases were systematically searched (MEDLINE, CINAHL Complete, Central, Web of Science, and ProQuest Dissertations and Theses Citation Index). Records describing nursing roles, responsibilities, or models of care within outpatient bronchiectasis settings were included (any design). Data was analysed descriptively and thematically. Results: Five studies and two international clinical practice guidelines published between 2002 and 2025 were included. Nurses were shown to play roles across five key domains: 1. clinical assessment and monitoring, 2. self-management support and patient education, 3. care co-ordination and multi-disciplinary collaboration, 4. patient advocacy and communication, and 5. leadership and service development. Evidence on measurable outcomes and standardised role definitions remains limited. Conclusions: This review mapped five domains within which nurses may contribute to outpatient bronchiectasis care; however, most identified roles and responsibilities were derived from multi-disciplinary recommendations rather than explicit descriptions of nursing practice. Further research is required to better define nursing roles and responsibilities and evaluate nurse-led models of care in bronchiectasis outpatient care settings. Full article

This study examines staff and student experiences of an online sustainability induction module at an Australian university, exploring how such a module can contribute to whole-institution sustainability culture within a higher education institution (HEI). Using Sterling’s transformational framework, we analyse participant perceptions and reflections across module content spanning diverse SDGs, including Indigenous land management (SDG 15), ethical consumption (SDG 12), modern slavery (SDG 8), governance (SDG 16) and community engagement (SDG 17). Findings suggest how staff and students may experience the parallels between working across SDGs and learning about sustainable actions within personal, organisational, and community contexts of HEIs. While some participants appreciated the interconnectedness of sustainability challenges, they also highlighted difficulties associated with the breadth and complexity of addressing multiple SDGs within a single induction experience. This research advances understanding of how transition-oriented learning spaces that are situated between individual and institutional development and those involving affective, cognitive, and intentional dimensions of change can support HEIs in considering how to progress the 2030 Agenda. At the same time, it highlights pedagogical challenges in designing induction modules that integrate multiple SDGs in practice. Full article

Open burning of agricultural residues remains a significant source of air pollution and greenhouse gas emissions in Southeast Asia. This study evaluated a community-scale smokeless vertical charcoal kiln for biochar production from corncob residues under practical operating conditions. Carbonization at 415–435 °C for 150–180 min produced biochar yields of 23.3–28.3%, with the 150 min treatment giving the highest yield. The biochar exhibited high carbon content (71–71.5%), low volatile matter (15.7–16.7%), fixed carbon content of 51–54%, and moderately alkaline pH (8.97–9.08). Atomic H/C and O/C ratios (approximately 0.55 and 0.27) indicated moderate aromaticity and stability consistent with IBI Class 1 criteria, while SEM revealed a macropore-dominated porous structure. Theoretical carbon sequestration potential was estimated at 0.69–0.74 tCO₂-eq per tonne of dry feedstock. These findings demonstrate the technical feasibility of community-scale smokeless biochar production and provide physicochemical characterization of the resulting biochar, suggesting potential relevance for carbon storage and soil amendment; however, agronomic performance and emissions require direct evaluation, and results are specific to corncob feedstock. Overall, this work contributes to sustainable agricultural waste management by demonstrating a low-cost, community-accessible pathway that simultaneously supports climate change mitigation, air quality improvement, and socio-economic accessibility for smallholder farming systems in Southeast Asia. Full article

This study develops the Socio-Technical Impact (ST-Impact) model, a sustainability-oriented curriculum design framework for management information systems (MIS) education, aimed at preparing future professionals to design and govern digital systems in socially and environmentally responsible ways. The rapid diffusion of emerging technologies, particularly generative AI, has intensified the need for MIS professionals who can integrate technical competence with social responsibility, ethical reasoning, responsible digital design, and public-value-oriented problem solving—competencies that remain unevenly addressed in existing MIS curricula. To address this gap, the study adopts a design science research approach, conducting a systematic review, reported in accordance with PRISMA 2020, and a design-oriented narrative synthesis of 120 international studies published between 2010 and 2025. Learning activities, student-produced artifacts, and assessment mechanisms were extracted as curriculum design units, while governance-related indicators were coded according to stakeholder requirements, accountability, equity, accessibility, privacy, safety, explainability, and sustainability. The resulting ST-Impact model comprises six iterative modules and a three-layer evaluation system. Its design coherence and practical plausibility are examined through an evidence-to-model traceability mapping, an illustrative comparative analysis of publicly visible curriculum structures, and an adaptable 15-week syllabus architecture. By translating abstract concepts of societal impact, responsible digital design, and digital sustainability into actionable curriculum design elements, this study contributes a literature-grounded foundation for future empirical validation in MIS education. Full article

The development of sustainable and climate-resilient food systems increasingly relies on robust analytical methodologies capable of integrating environmental, biochemical, and management-related signals. In this study, a multi-isotope framework based on δ²H, δ¹⁸O, δ¹³C, and δ¹⁵N was applied to assess its capacity to discriminate between contrasting raspberry production systems and to provide chemically grounded indicators of agroecosystem functioning. Raspberry fruits (Rubus idaeus L.; cultivars Opal and Delniwa) were collected during the 2024–2025 growing seasons from two distinct systems in Romania: an organic open-field system and a rainfed agroforestry system. Stable isotope ratio analysis revealed system-dependent isotopic patterns, with the strongest differentiation observed for δ¹⁵N. Nitrogen isotope composition (δ¹⁵N) provided the strongest discrimination, with enriched values in organic fruits (2.73–9.77‰) and depleted values in agroforestry fruits (−3.01 to 0.62‰), reflecting differences in nitrogen sources and cycling pathways. Hydrogen and oxygen isotopes (δ²H: −60.46 to −4.62‰; δ¹⁸O: −6.19 to 10.41‰) were consistent with hydroclimatic variability and evaporative fractionation processes associated with soil–plant–atmosphere interactions. Carbon isotopes (δ¹³C: −28.14 to −22.62‰) provided complementary insights into plant water-use conditions. Multivariate statistical analysis supported the separation between production systems, while short-term fertilisation effects were secondary to system-level controls. The results suggest that raspberry fruits preserve an integrated isotopic fingerprint of production environment and management practices. From an analytical chemistry perspective, this work highlights the relevance of multi-isotope approaches as transferable tools for food authentication, traceability, and sustainability assessment, contributing to the broader application of stable isotope techniques across complex biological systems. Full article

Early detection of contrasting water-stress types is important for understanding plant stress responses and improving water-stress management in forest seedlings. In this study, three-year-old Pinus tabuliformis seedlings were exposed to control (CK, 75–85% of field capacity), drought (D, 25–35% of field capacity), waterlogging (WL, water level flush with the soil surface), and water flooding (WF, water level 2 cm above the soil surface) treatments. Each treatment included 15 independent seedlings at each sampling date, resulting in 420 seedlings across four treatments and seven sampling dates. Needle water potential (Ψw), total chlorophyll content (Chl), maximum photochemical efficiency (Fv/Fm), indole-3-acetic acid (IAA), abscisic acid (ABA), and electrical impedance spectroscopy (EIS) parameters were measured to compare the temporal responses of physiological and electrical traits under different water conditions. EIS showed clear treatment-dependent changes under all stress treatments, with larger changes observed under WF and WL than under D at the treatment levels and durations evaluated in this study. Based on the present discrete sampling schedule, the real (Re) and imaginary (Im) components showed statistical separation among the four treatments in all six pairwise comparisons of the four treatments on Day 7, whereas ABA and Ψw showed separation on Day 11, Fv/Fm on Day 18, and IAA and Chl on Day 25. These results indicate that Re and Im showed treatment-dependent divergence at earlier evaluated sampling dates than the selected physiological variables. Exploratory CLAFIC analysis further indicated group-level spectral separation between CK and WL/WF on Day 3 and between CK and D on Day 7. Overall, EIS-derived features may provide useful information on early electrical responses of P. tabuliformis seedlings to contrasting water conditions. However, further validation using independent datasets, standardized measurement procedures, and field or nursery conditions is required before EIS can be applied as a practical tool for water-stress assessment. Full article

Community-based heritage tourism plays an important role in promoting sustainable development while preserving cultural heritage in indigenous and traditional communities. However, limited empirical evidence exists regarding its contribution to sustainable development within Mongolia’s nomadic communities. Grounded in Social Exchange Theory (SET), this study examines the relationships among Community Participation, Heritage Interpretation, Tourism Management, Cultural Identity Preservation, and Sustainable Development. Data were collected from 250 international tourists who participated in community-based heritage tourism experiences in Mongolia and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that Heritage Interpretation and Tourism Management positively influence Cultural Identity Preservation, while Community Participation, Tourism Management, and Cultural Identity Preservation significantly enhance Sustainable Development. Community Participation, however, does not significantly influence Cultural Identity Preservation. Furthermore, Cultural Identity Preservation partially mediates the relationship between Tourism Management and Sustainable Development. These findings highlight the importance of effective tourism management and meaningful heritage interpretation in strengthening cultural preservation and promoting sustainable development. The study extends the application of Social Exchange Theory in the context of community-based heritage tourism and provides practical implications for policymakers and destination managers seeking to balance cultural heritage conservation with sustainable tourism development. Full article

Background: The COVID-19 pandemic and related containment measures profoundly affected child and adolescent mental health, with increasing evidence of a rise in psychiatric symptomatology and healthcare burden. This study aimed to evaluate temporal changes in neuropsychiatric presentations before, during, and after the COVID-19 pandemic in a pediatric clinical population. Methods: In this retrospective single-center study, 505 children and adolescents referred to a pediatric neuropsychiatry service were included and stratified into three periods: pre-pandemic (n = 112), pandemic (n = 231), and post-pandemic (n = 162). Clinical and healthcare-related variables were retrospectively collected, including reasons for referral, psychiatric diagnoses, premorbid conditions, and pharmacological treatments. Comparative analyses were performed to identify temporal variations in psychopathological profiles and clinical management. Results: A significant increase in psychiatric symptomatology emerged in the post-pandemic period compared with the pre-pandemic period. In particular, eating disorders, mood disturbances, self-harm, and somatic symptom presentations showed a marked increase over time, presenting as recurrent and associated phenotypes that peaked or consolidated after the acute emergency. The pandemic period was primarily characterized by a greater need for psychopharmacological intervention, specifically driven by the clinical need to manage acute behavioral crises. Overall, findings indicated a persistent increase in the complexity and severity of neuropsychiatric presentations beyond the acute phase of the pandemic. Conclusions: The COVID-19 pandemic was associated with substantial changes in pediatric neuropsychiatric presentations and treatment needs. The persistence of the increased psychopathological burden in the post-pandemic period highlights long-term mental health trajectories associated with the pandemic era. These emerging patterns of phenotypic complexity demonstrate that child and adolescent psychiatric services must transition from single-diagnosis models toward integrated care networks. Practically, strengthening community-based early intervention and creating rapid-access crisis support are essential to manage severe emotional dysregulation in the community and reduce acute psychiatric hospitalizations. Full article

Trap–neuter–return (TNR) programs are the leading non-lethal approach to managing free-roaming cat populations. When cats are anesthetized for surgical sterilization, veterinarians have a brief opportunity to obtain blood samples for pre-surgical screening, infectious-disease surveillance, and contribution to population-level reference-interval research. Field conditions, however, make collecting good-quality blood samples difficult: cats are often dehydrated and stressed, the procedure is kept brief, and their medical history is unknown. This narrative review draws on the American Society for Veterinary Clinical Pathology (ASVCP) reference-interval guidelines, feline anesthesia and the blood-collection literature, and operational experience from Portuguese TNR programs to describe seven points in the sampling workflow at which technique most often fails: anesthetic depth verification, controlled aspiration speed, immediate EDTA-tube mixing, post-venipuncture hemostasis, hemolysis recognition, precise FIV/FeLV point-of-care test timing, and adherence to a maximum-attempts limit. Three recurrent failure modes—collapsed veins from excessive aspiration, clotted EDTA samples from inadequate mixing, and hematoma formation from insufficient hemostasis—account for the majority of poor samples observed in routine practice. The framework presented here is intended to support reproducible, welfare-compliant sample collection during TNR operations, giving veterinary teams a single, structured reference that supports both animal welfare and the diagnostic value of the samples they collect. Full article

Coastal saline-alkali land represents an important reserve land resource and a highly fragile ecosystem in China. Accurate identification, dynamic monitoring, ecological restoration, and sustainable management of these lands have become major research priorities in the field land-resource management, ecological conservation, and environmental governance. Owing to its broad spatial coverage, high temporal resolution, efficient data acquisition, continuous monitoring capability, and non-destructive observation, remote sensing has become a vital tool for the investigation, monitoring and management of coastal saline-alkali land, providing essential technical support for both scientific research and practical decision-making. This review systematically summarizes recent advances in the application of remote sensing to coastal saline-alkali land in China. First, we examine the development of remote sensing data sources, soil salinity inversion algorithms, and information extraction methods for saline-alkali land identification, with particular emphasis on the contributions of multi-source data fusion, machine learning, and deep learning techniques to improving mapping accuracy and reliability. Second, we review recent applications of remote sensing in ecological restoration, focusing on vegetation recovery monitoring and landscape pattern analysis in restored coastal ecosystems. Third, we summarize the use of remote sensing products in sustainable land management, including regional land-use planning, ecological risk assessment, salinization early warning, and precision management. Finally, we discuss the major challenges that remain, including the limited transferability of salinity inversion models, the insufficient adaptability of remote sensing approaches under complex environmental conditions, and the weak integration of remote sensing technologies with field-scale management practices. Future research should emphasize physics-informed artificial intelligence, multi-source data fusion, and intelligent decision-support systems to enhance the operational application of remote sensing for the sustainable utilization and ecological restoration of coastal saline-alkali land. Full article

Introduction: The COVID-19 pandemic profoundly disrupted healthcare, prompting adaptations in oncological practices. This systematic review evaluates the pandemic’s impact on the management of non-melanoma skin cancer (NMSC) of the head and neck (H&N) region. Methods: The review was reported according to PRISMA guidelines. Eligible studies compared pre-pandemic and pandemic periods in adult patients treated for head and neck NMSC reporting outcomes related to histological distribution, time to treatment initiation, reconstructive method, and surgical margin status. Risk of bias was assessed using the Newcastle–Ottawa Scale. Random-effects meta-analyses were performed for outcomes with sufficient extractable data. Results: The review comprised five studies involving 1318 cases. The relative distribution of basal cell carcinoma and squamous cell carcinoma did not differ significantly between pre-pandemic and pandemic periods. Time to treatment initiation showed no significant overall change, although heterogeneity was high, indicating substantial variability among healthcare settings. Reconstruction shifted significantly toward primary closure compared with flap reconstruction during the pandemic period (OR 1.90; 95% CI: 1.46–2.47; p < 0.0001). Negative surgical margins were reported in 1119 of 1266 excisions/cases with available data (88.4%), with no significant difference between pre-pandemic and pandemic periods (OR 0.77; 95% CI: 0.46–1.32; p = 0.34). Conclusions: The pandemic was associated with a shift toward simpler reconstructive strategies, particularly increased use of primary closure, likely reflecting attempts to reduce operative complexity and resource use. While short-term oncologic outcomes appeared broadly preserved, long-term functional, aesthetic, and patient-reported outcomes remain insufficiently characterized. Future studies should evaluate these outcomes to better inform crisis-adapted oncologic and reconstructive care pathways. Full article