Search Results (5,734)

Food insecurity, financial loss, and a decline in agricultural output are among the significant challenges to the global food chain caused by extreme climatic events, high variability and change, rapid urbanization, and land degradation. Therefore, it is essential to explore alternative, sustainable agricultural practices to meet the growing population’s food needs. Sustainable agriculture is foundational to farm management, rural development, and water conservation. This includes sustainable practices such as crop rotation, intercropping, and planting crops with varying rooting depths to maximize soil moisture absorption, as well as mulching to improve nutrient recycling and enhance productivity in smallholder cropping systems. The adoption of sustainable agricultural practices has become a priority for smallholder farmers, policymakers, extension agents, and agricultural experts to improve agricultural productivity, contribute to food security, and generate income. However, adoption rates have been slow, especially in Southern Africa, due to a lack of access to technology, financial constraints, limited information, and limited knowledge. This review was conducted using a comprehensive literature search on the adoption of sustainable agricultural practices by legume smallholders, examining various factors that contribute to the failure of legume smallholder farmers to adopt new agricultural practices. The timeframe of the reviewed literature was from 2010 to 2024. The results showed that smallholder farmers face numerous challenges, including limited access to technology, inadequate knowledge, and insufficient financial resources. Research conducted by the Water Research Commission (WRC) indicates that commercial farmers have access to technology, and this group of farmers possesses more substantial financial resources compared to smallholder farmers. In the adoption of sustainable agricultural practices. It is essential to strengthen the linkage between researchers, agricultural extension, and legume smallholder farmers to promote sustainable agricultural practices (SAPs). Smallholder farmers must be informed about such interventions and sustainable agricultural practices to improve rural livelihoods and enhance resilience, adaptation, and responsiveness. Full article

Background/Objectives: Adoption of single-use ureteroscopes (SU) and flexible and navigable suction ureteral access sheaths (FANS) have improved flexible ureteroscopy (fURS) efficiency and safety. However, the impact of scope–sheath pairing is less studied. This study aims to compare four scope–sheath configurations using reusable ureteroscopes (RU) and SU with either 11/13Fr or 12/14Fr FANS. Methods: We retrospectively evaluated 184 patients undergoing fURS for kidney solitary stones of 10–25 mm. Patients were manually matched across four groups: RU-11/13FANS, RU-12/14FANS, SU-11/13FANS, and SU-12/14FANS (46 patients in each). The endpoints were 30-day stone-free rate (SFR), operative time, surgeon-reported visibility (image clarity and procedural continuity) and postoperative complications. Results: Operative time was significantly shorter in single-use scope groups (p < 0.001). Visibility scores were highest in SU-12/14FANS and lowest in RU-11/13FANS across all subdomains. SFR was higher in SU groups. SU-11/13FANS had a significantly higher SFR than RU-12/14FANS (p = 0.027). In the reusable group, the use of 12/14Fr FANS was associated with a lower SFR compared to the 11/13Fr configuration. Complication rates were low (8.2% overall) and comparable among groups. Conclusions: Pairing SU with 12/14Fr FANS provided optimal visibility and good stone clearance without increasing complications. In contrast, RU paired with 12/14Fr FANS showed slightly reduced efficacy, possibly due to impaired maneuverability. The scope–sheath interaction influenced outcomes differently across scope types, underlining the importance of their matching in fURS. Full article

Tourism and digitalization have become increasingly interconnected, yet the complex, nonlinear relationships between technological adoption and tourism performance remain underexplored. This study aims to examine how enterprise software solutions influence tourism indicators across European countries. Using a triangulated methodological approach, we employed factor analysis to identify underlying dimensions, neural network modeling to detect nonlinear relationships, and hierarchical clustering to group countries based on digital and tourism profiles. The results consistently highlight CRM (Customer Relationship Management) as the most influential technological factor linked to both the net occupancy rate of beds and the number of nights spent at tourist accommodations. While AI (artificial intelligence) technologies currently have less impact, their importance is growing, as seen in emerging patterns. Cluster analysis further confirms that countries with higher CRM adoption tend to cluster together and show better tourism performance, indicating a clear connection between digital maturity and sector competitiveness. These findings emphasize the strategic importance of CRM as a transformative tool in hospitality and tourism management, while also recognizing the potential of AI to shape future trends. The study offers empirical support for tailored digital policies across European regions to promote inclusive and sustainable tourism growth. Full article

This study examines GPT usage in university-level programming education, focusing on patterns and correlations in students’ learning behaviors. A survey of 438 students from four universities was conducted to analyze their adoption of AI, learning dispositions, and behavioral patterns. The research aimed to understand the current state of GPT adoption and the connection between student learning approaches and their use of these technologies. Findings show that while a majority of students use GPT applications, the frequency and depth of this engagement vary significantly. Students who favor self-directed learning tend to leverage this technology more for personalized learning and self-assessment. Conversely, students more accustomed to traditional teaching methods use it more conservatively. The study identified four distinct learner groups through cluster analysis, each with unique interaction styles. Furthermore, a correlation analysis indicated that learning orientations, such as Technology-Driven Learning and intrinsic motivation, are positively associated with more frequent and effective GPT use. Full article

Mobile learning (m-learning) technologies are gaining popularity in universities but not uniformly across institutions because of cognitive, affective, and behavior obstacles. This research tested and applied an expansion of the Technology Acceptance Model (TAM) with technostress (TECH) and resistance to change (RTC) as affective obstacles, as well as the core predictors of perceived usefulness (PU), perceived ease of use (PE), and perceived risk (PR). By employing a cross-sectional survey of Greek university students (N = 608) and partial least squares structural equation modeling (PLS-SEM), we tested direct and indirect impacts on behavioral intention (BI) to apply m-learning applications. The results affirm that PU and PE are direct predictors of BI, while PR has no direct impact on BI but acts indirectly through TECH and RTC. Mediation is partial in terms of PE and PU and indirect-only (complete) in terms of PR with respect to the impact of affective states on adoption. Multi-group comparisons found differences in terms of gender, age, confidence, and years of use but not frequency of use, implying that psychological and experiential characteristics have a greater impact on intention than habitual patterns. These results offer theory-driven and segment-specific guidelines for psychologically aware, user-focused m-learning adoption in higher education. Full article

Background: The digital transition is reshaping healthcare systems through the adoption of telemedicine and electronic health records (EHRs). While these innovations enhance efficiency and access, their implementation unfolds within overstretched organizational settings characterized by workforce shortages, bureaucratic demands, and heightened psychosocial risks. Burnout, impostor syndrome, and the quality of organizational support have thus become pivotal constructs in understanding healthcare professionals’ digital preparedness. Methods: A cross-sectional online survey was conducted among 111 professionals employed at two San Donato Group facilities in Bologna, Italy. The battery included socio-demographic and occupational data, perceptions of digitalization, and validated instruments: the Maslach Burnout Inventory (MBI), the Clance Impostor Phenomenon Scale (CIPS), and the Work Organization Assessment Questionnaire (WOAQ). Descriptive analyses were complemented by Classification and Regression Trees (CART) to identify predictors of perceived digital preparedness. Results: Most respondents (88%) acknowledged the relevance of digitalization, yet 18% felt unprepared, especially women and administrative staff. Burnout levels were high, with 51% reporting emotional exhaustion, most notably among nurses and female participants. Impostor syndrome affected 43% of the sample, with nurses exhibiting the highest prevalence. CART analysis identified emotional exhaustion, impostor syndrome, and age as principal discriminators of digital preparedness. Conclusions: Our findings highlight the role of emotional exhaustion, impostor syndrome, and age in shaping perceived digital preparedness, underscoring the need for tailored training and supportive practices to ensure a sustainable digital transition. Full article

The hilly and mountainous regions of Nepal provide a suitable environment for the cultivation of large cardamom, a high-value cash crop with significant global market potential. However, climate change poses significant threats to its production and the livelihoods of farmers dependent on this crop. To cope with these challenges, adopting climate-resilient agricultural practices is essential, particularly among smallholder farmers of rural communities. However, the extent of their implementation remains largely unknown. We surveyed 158 households in Ilam and Tehrathum districts to assess the adoption intensity of climate-resilient practices among large cardamom farmers using the Ordered Probit Model. Findings revealed considerable variation in the adoption intensity of climate-resilient practices. Traditional practices like tillering, weeding, and irrigation were highly adopted, while more innovative, knowledge-intensive methods were less adopted. Education was found to have a positive influence on the high adoption intensity of climate-resilient practices. Each additional unit of year of schooling increases the probability of high adoption of practices by 3.4%. Membership in farmers’ groups increases the likelihood of high adoption by 12.9%, while labor availability and regular extension contact rises by 21.9% and 17.8%, respectively. Similarly, age shows a smaller but significant effect, increasing adoption by 0.5% at p-value = 0.08. The use of traditional practices is common; however, the uptake of scientifically recommended practices for climate resilience remains limited. Policy initiatives focusing on farmer education, promoting farmer organizations, addressing labor shortages, and strengthening extension services are important for enhancing resilience in the large cardamom sector of Nepal. Full article

Aim: The study developed and validated AppER, an mHealth tool for informal caregivers of children with Duchenne Muscular Dystrophy, and examined differences between app users and non-users. Methods: Four phases were followed: (1) focus groups with experts and caregivers to identify care-related domains; (2) prototype development and validity testing (CVR, I-CVI, I-FVI) using the MARS scale; (3) implementation of the final app; and (4) psychosocial profiling of 88 caregivers (42 users and 46 non-users) measuring quality of life, dependency, somatic symptoms, and coping strategies. Results: AppER showed high content and face validity, surpassing reference thresholds. In the psychosocial analysis, users reported lower perceived quality of life than non-users, despite no significant differences in dependency, somatic symptoms, or coping strategies. Conclusions: Employment patterns differed: more users were dedicated to household tasks, while more non-users were self-employed, suggesting economic factors may affect app uptake and quality of life perceptions. Findings indicate AppER is a valid, well-rated support tool, and that caregivers with lower perceived quality of life may be more inclined to adopt digital health solutions, potentially to address complex care demands. Designing targeted digital interventions may be particularly valuable for those in less favorable socioeconomic contexts. Because of the small sample and between-group imbalances, results are exploratory and warrant confirmation in larger, balanced samples. Full article

Cattle are commonly affected by gastrointestinal (GI) parasites, which impact their welfare and productivity. Alternative management practices are currently being applied in several livestock farms worldwide to minimise or avoid the use of anthelmintic drugs on livestock in an unsustainable way. This study aimed to compare the presence of GI parasites between conventional and holistic management farms in Alentejo, Portugal. Between January and April 2024, a total of 95 faecal samples were collected from adult female beef cattle belonging to four conventional management farms and four holistic management farms. Parasitological diagnosis included the Mini-FLOTAC method, Willis flotation, natural sedimentation, modified Ziehl–Neelsen technique, and faecal cultures. Higher egg shedding levels were found at holistic management farms, and strongyles were the most frequent GI parasites (92.6%). In addition, Oesophagostomum spp. (37%) and Trichostrongylus spp. (32%) were the most frequent genera, although no significant differences were found between the two management systems. Moreover, animals from both groups presented low shedding values (<200 eggs per gram of faeces, EPG). These preliminary results allow us to suggest that adopting holistic management practices may be a sustainable solution for the control of GI parasite infections in cattle farms. Full article

This article examines online hate as a driver of cyberbullying and a barrier to inclusive schooling, integrating theoretical, philosophical and methodological perspectives. We approach hate speech as communicative practices that legitimise discrimination and exclusion and, once amplified by social media affordances, erode equity, belonging and well-being in educational settings. The study adopts a qualitative, exploratory–descriptive design using focus groups with pre-service teachers from initial teacher education programmes across several Chilean regions. Participants reflected on the presence, trajectories and classroom effects of cyberhate/cyberbullying. Data were analysed thematically with ATLAS.ti24. Findings describe a recurrent pathway in which anonymous posts lead to public exposure, followed by heightened anxiety and eventual withdrawal. This shows how online aggression spills into classrooms, normalises everyday disparagement and fuels self-censorship, especially among minoritised students. The analysis also highlights the amplifying role of educator authority (tone, feedback, modelling) and institutional inaction. In response, participants identified protective practices: explicit dialogic norms, rapid and caring classroom interventions, restorative and care-centred feedback, partnership with families and peers, and critical digital citizenship that links platform literacy with ethical reasoning. The article contributes evidence to inform anti-bullying policy, inclusive curriculums and teacher education by proposing actionable, context-sensitive strategies that strengthen equity, dignity and belonging. Full article

This article is an attempt to empirically establish a new category of social beliefs defined as postmodern beliefs. They are cognitive categorizations of social and media messages regarding ways of understanding the world which are based on the basic assumptions of postmodernism, quite widely recognised as fundamental. The theoretical model adopted in the article assumes the existence of three beliefs: antifundamentalism, absolutization of freedom and relativization of truth. The hypothesised concept was operationalized as Postmodern Beliefs Questionnaire (PMBQ). Verification studies were carried out on three groups of over 600 people. The verification of the tool was carried out by using exploratory factor analysis (EFA) to select the appropriate pool of statements, then data in two subsequent datasets was analysed using Confirmatory Factor Analysis (CFA) to empirically verify the selected set of statements and estimate relevant parameters. The tool constructed allows for investigating the distinguished beliefs at a satisfactory level of reliability and validity. It can be used to measure the extent to which the representations that make up the popular understanding of postmodernism have been recognised and built into the overall belief system about the world of the respondents. The distinguished postmodern beliefs differ in terms of relations with other social beliefs of the respondents, such as anthropocentrism, traditionalism, faith in a just world, as well as the attitude of individuals to material values or their individualistic orientation. Full article

In Georgia (Sakartvelo), a program promoting bilingual education in preschool institutions was formally adopted in 2020. It aligns with the objectives of the 2021–2030 State Strategy for Civic Equality and Integration Plan, which envisions a comprehensive reform of bilingual education across Georgia’s regions. Any reform requires research and evaluation to measure how effectively it is being implemented and whether the intended outcomes have been achieved. The bilingual education initiative pursues a dual objective: to preserve the native languages of minority communities while ensuring effective acquisition of the state language. This dual mandate is intrinsically linked to state language policy and constitutes a sensitive issue for local communities, parents, and preschool administrators, thereby necessitating a careful and nuanced approach. The present study analyzed the readiness of the social environment to support the implementation of bilingual education programs at the preschool level in the regions of Georgia in which ethnic minorities live side by side. Research was carried out in two ethnically diverse regions—Kvemo Kartli and Samtskhe–Javakheti. The author conducted individual and group interviews, and the elicited data were analyzed with the help of content and thematic analyses. This study examines key attributes of the ongoing preschool reform to identify factors that facilitate the effective implementation of early bilingual education initiatives. The findings highlight both commonalities and regional variations in parental attitudes toward the bilingual education reform. Full article

Microplastic pollution is an escalating environmental and public health issue. Defined as plastic particles less than 5 mm in size, microplastics have been found in oceans, rivers, food, drinking water, air, and even human tissues. While scientific research on microplastics has expanded significantly, public understanding and behavioral change remain limited. This literature scan synthesizes global findings on public awareness, perceptions, and responses to microplastics, drawing from surveys, focus groups, and online behavioral data collected by existing studies. It explores the following: (1) general knowledge and perceived environmental and health risks; (2) trust in scientific and governmental sources; (3) willingness to adopt behavioral changes; (4) attitudes toward policy and corporate responsibility. Public concern is high, especially regarding marine life and food safety, but varies across populations based on education, socioeconomic status, and media exposure. Despite growing concern, psychological distance and persistent knowledge gaps hinder meaningful action. Communication strategies such as school programs, media campaigns, and eco-labels show mixed success, while regulatory interventions like plastic bags or microbead bans are more effective when supported by clear public messaging. This literature scan highlights the need for interdisciplinary collaboration to close the knowledge–behavior–policy gap and strengthen public engagement, particularly in urban settings where consumption and waste generation are concentrated. Full article

This study investigates the relationship between artificial intelligence (AI) adoption and environmental, social, and governance (ESG) performance among 100 listed Saudi Arabian firms over the period 2015–2024. Drawing on panel data regression techniques, including fixed effects models with Driscoll–Kraay standard errors, pooled OLS with industry and year controls, and dynamic panel estimations using system GMM, the analysis reveals a significant and positive association between AI implementation and overall ESG scores. Disaggregated analysis shows that AI adoption is particularly associated with improvements in the environmental and social dimensions, with a more moderate relationship to governance practices. To address potential issues of cross-sectional dependence and heterogeneity, the study applies the Common Correlated Effects Mean Group (CCEMG) and Mean Group (MG) estimators as robustness checks, which confirm the consistency of the main findings. In addition, the Dumitrescu–Hurlin panel Granger causality test indicates that AI adoption Granger-causes ESG performance—especially in the environmental and social dimensions—while no reverse causality is observed. The results suggest that AI technologies are positively linked to firms’ sustainability strategies and performance, supporting the integration of digital transformation into national and corporate ESG agendas, particularly in emerging markets like Saudi Arabia. Full article

Waste management poses escalating threats to environmental sustainability, particularly with municipal solid waste (MSW) growth. Incineration, a widely adopted method for reducing waste volume, produces millions of tons of municipal solid waste incineration fly ash (MSWIFA) each year. Despite its high toxicity and classification as a hazardous solid waste, its ultrafine particle size and pozzolanic activity offer potential for its use in construction materials. In this study, MSWIFA was used to replace 6%, 12%, 18% and 24% of cementitious materials, and the effect of MSWIFA substitution rate on the workability, mechanical properties, microstructure, and durability of UHPC was studied. Furthermore, the study assessed the solidification capacity of the UHPC for heavy metal ions and quantitatively analyzed its eco-economic benefits. The results show that, under standard curing conditions, substituting 12% of cementitious materials with MSWIFA significantly modified UHPC hydration, shortened setting time, reduced fluidity, and increased wet packing density. The 28-day compressive strength reached 134.63 MPa, comparable to the control group. Concurrently, fluidity, durability, and heavy metal leaching all met the required standards, with energy consumption reduced by 14.86%, carbon emissions lowered by 12.76%, and economic costs decreased by 6.41%. This study provides a feasible solution for recycling MSWIFA into non-hazardous concrete, facilitating sustainable hazardous waste management and mitigating heavy metal-related environmental pollution. Full article