Search Results (206)

The growing integration of technology in education has heightened awareness of global risks, such as the spread of disinformation. This awareness is vital for fostering the well-being of individuals, especially teenagers, by promoting critical thinking and responsible digital practices. By cultivating these skills, sustainable education empowers individuals to identify potential threats, protect themselves, and advocate for informed, positive change. As part of a European project, this study aims to analyze the current level of awareness among secondary school students (12 to 17) and their teachers. Differences between both are analyzed in how they deal with disinformation in terms of (1) perceptions, (2) feelings and practices, and (3) knowledge and management. A quantitative approach was adopted for this study, which surveyed 1186 minors and 166 teachers. The analysis was based on non-parametric statistics; the Mann–Whitney U statistic was applied as the appropriate measure for comparing independent samples (teachers and students) with a non-normal distribution (p < 0.05). The results were surprising in that they highlighted that minors were more expert than expected in their use of technology and their awareness of the risks of disinformation. These conclusions make it clear that technological tools have the potential to raise awareness of the dangers of disinformation and improve the sustainability of education. Full article

Oil palm cultivation plays a critical role in rural livelihoods in Indonesia, yet previous research has often overlooked systematic institutional differences among smallholders. This study aims to analyze disparities in assets, strategies, and livelihood outcomes among three oil palm smallholder typologies—ex-Perkebunan Inti Rakyat (PIR) transmigrant smallholders who received land through government transmigration programs, independent smallholders who cultivate oil palm without formal partnerships, and plasma smallholders operating under corporate partnership schemes—in Central Mamuju Regency, West Sulawesi. A descriptive quantitative approach based on the sustainable livelihoods framework was employed, using chi-square analysis of data collected from 90 respondents through structured interviews and field observations. The results show that ex-PIR smallholders possess higher physical, financial, and social capital and achieve better income and welfare outcomes compared to independent and plasma smallholders. Independent smallholders exhibit resilience through diversified livelihood strategies, whereas plasma smallholders face asset limitations and structural dependency on partner companies, increasing their economic vulnerability. The study concludes that differentiated policy approaches are necessary to enhance the resilience of each group, including improving capital access, promoting income diversification, and strengthening institutions for plasma smallholders. Future research should expand geographical scope and explore factors such as technology adoption, gender dynamics, and intergenerational knowledge transfer to deepen understanding of sustainable smallholder livelihoods in tropical plantation contexts. Full article

Scientific culture in pedagogical work involves the integration of scientific principles, values, and practices into education to promote critical thinking, evidence-based reasoning, and curiosity. It fosters an environment where students develop as independent learners, problem-solvers, and informed citizens. Teachers play a key role in cultivating this culture, acting as facilitators and guides who equip students with the tools to think critically and engage with the world scientifically. While often associated with STEM disciplines, scientific literacy extends beyond these areas, emphasizing the integration of scientifically grounded knowledge into all subject areas. To achieve this, teachers must continually enhance their own understanding and skills in scientific thinking. Staying updated with the latest scientific discoveries, critically evaluating information, and applying innovative pedagogical methods are essential. Professional development can provide a vital avenue for teachers to acquire these competencies. Approaches such as reading scientific literature, collaborating with colleagues, and attending specialized training programs can improve teaching strategies and promote scientific thinking in the classroom. This study investigated professional development programs provided for in-service teachers to understand how they contribute to fostering a scientific culture. The researchers collected data from municipalities in Latvia and online resources to summarize the information on the professional development programs provided to in-service teachers. This study examined how elements of scientific culture are reflected in teacher professional development programs in Latvia, using Merton’s CUDOS norms as an analytical framework. The acronym CUDOS refers to four foundational principles of scientific ethos: communalism, universalism, disinterestedness, and organized skepticism. These norms guided the evaluation of whether and how scientific inquiry values are embedded in the design and delivery of training programs for in-service teachers. Using quantitative and qualitative methods for data analysis, it was found that in-service teacher training in Latvia is highly eclectic and often lacks alignment with scientifically grounded principles. There are a lot of programs provided to develop transversal competencies, but very few subject-specific programs are available. The findings highlight the need for more structured and cohesive professional development programs to support in-service teachers in developing competence in cultivating scientific inquiry, nurturing curiosity, and empowering students to navigate an increasingly complex and technology-driven society. These insights offer practical implications for education policymakers and program designers aiming to enhance the scientific orientation of teacher training. By identifying specific gaps in content and alignment with scientific culture, this study provides an original contribution to the discourse on evidence-informed teacher development and supports a more conceptually grounded and equitable approach to lifelong professional learning in Latvia. Full article

Biological research and agriculture are increasingly benefiting from the use of artificial intelligence algorithms, which are becoming integral to various areas of human activity. Fundamental knowledge of the mechanisms of plant germination, growth/development, and reproduction is the basis for plant cultivation. Plants provide food and valuable biochemicals and are an important element of a sustainable natural environment. An interdisciplinary approach involving basic science (biology and informatics), technology (artificial intelligence), and farming practice can contribute to the development of precision agriculture, which in turn increases crop and food production. Nowadays, a progressive elucidation of the mechanisms of plant growth/development involves studies of interrelations between electrical phenomena occurring inside plants and movements of plant organs. Recently, there have been increasing numbers of reports on methods for classifying plant electrograms using statistical and artificial intelligence algorithms. Artificial intelligence procedures can identify diverse electrical signals—signatures associated with specific environmental abiotic and biotic factors or stresses. At the same time, a growing body of research shows methods of precise and fast analysis of time-lapse videos via automated image analysis and artificial intelligence to study the movement and growth/development of plants. In both research fields, scientists introduce modern and promising methods of studying plant growth/development. Such basic research along with technological innovations will contribute to the development of precision agriculture and an increase in yields and production of healthier food in future. Full article

The provision of food in pre-Inca/Inca cultures (1000 BC–≈1532 AD) in environments near Lake Titikaka (approximately 4000 m above sea level) was possible through an agricultural technique called “Waru-Waru”, which consists of filling the space (volume) between rows of land containing plants that are cultivated (a series of earth platforms surrounded by water canals) with water, using water as thermal energy storage to store energy during the day and to regulate the temperature of the soil and crop atmosphere at night. The problem is that these cultures left no evidence in written documents that have been preserved to this day indicating the mathematical models, the physics involved, and the experimental part they performed for the research, development, and innovation of the “Waru-Waru” technique. From a review of the existing literature, there is (1) bibliography that is devoted to descriptive research (about the geometry, dimensions, and shapes of the crop fields (and more based on archaeological remains that have survived to the present day) and (2) studies presenting complex mathematical models with many physical parameters measured only with recently developed instrumentation. The research objectives of this paper are as follows: (1) develop a mathematical model that uses finite differences in fluid mechanics, thermodynamics, and heat transfer to explain the experimental and theory principles of this pre-Inca/Inca technique; (2) the proposed mathematical model must be in accordance with the mathematical calculation tools available in pre-Inca/Inca cultures (yupana and quipu), which are mainly based on arithmetic operations such as addition, subtraction, and multiplication; (3) develop a mathematical model in a sequence of steps aimed at determining the best geometric form for thermal energy storage and plant cultivation and that has a simple design (easy to transmit between farmers); (4) consider the assumptions necessary for the development of the mathematical model from the point of view of research on the geometry of earth platforms and water channels and their implantation in each cultivation area; (5) transmit knowledge of the construction and maintenance of “Waru-Waru” agricultural technology to farmers who have cultivated these fields since pre-Hispanic times. The main conclusion is that, in the mathematical model developed, algebraic mathematical expressions based on addition and multiplication are obtained to predict and explain the evolution of soil and water temperatures in a specific crop field using crop field characterization parameters for which their values are experimentally determined in the crop area where a “Waru-Waru” is to be built. Therefore, the storage of thermal energy in water allows crops to survive nights with low temperatures, and indirectly, it allows the interpretation that the Inca culture possessed knowledge of mathematics (addition, subtraction, multiplication, finite differences, approximation methods, and the like), physics (fluids, thermodynamics, and heat transfer), and experimentation, with priority given to agricultural techniques (and in general, as observed in all archaeological evidence) that are in-depth, exact, practical, lasting, and easy to transmit. Understanding this sustainable energy storage technique can be useful in the current circumstances of global warming and climate change within the same growing areas and/or in similar climatic and environmental scenarios. This technique can help in reducing the use of fossil or traditional fuels and infrastructure (greenhouses) that generate heat, expanding the agricultural frontier. Full article

Maize (Zea mays) is one of the most cultivated crops in South Africa, serving as a staple food, stock feed, and a key element in several industrial applications. It contributes significantly to the growth of the South African agricultural economy. The cultivation of maize generates a large amount of agricultural waste, mainly in the form of maize stover (MS), which encapsulates leaves, stalks, cobs, and husks. Approximately 5.15 metric tons (Mt) yr⁻¹ of MS are generated in South Africa. This corresponds to an energy potential of 94 PJ. There is immense potential to surpass the annual yield of MS by 126% up to about 11.66 Mt yr⁻¹ through practices such as zero tillage and improved agricultural production systems. MS may pose a serious threat to the environment if not managed in a sustainable and eco-friendly manner. Valorization of MS into biogas presents an excellent opportunity to effectively control biomass waste while contributing to renewable energy production and mitigating dependence on depleting fossil fuels. However, MS continues to be overlooked as a sustainable bioenergy resource due to its lignocellulosic structure. This study explores the potential of converting MS into biogas for heat and power generation, addressing both energy needs and waste management in South Africa. The purpose is to provide knowledge that will inform researchers, innovators, industrialists, policy makers, investors, and other key stakeholders interested in renewable energy systems. Collaborative efforts among multiple stakeholders are vital to leverage biogas as a technology to promote socio-economic development in South Africa. Full article

This Technical Note presents the design and implementation of a low-cost modular growth chamber developed to keep mother plants under controlled environmental conditions for vegetative propagation. The system was conceived as an accessible alternative to expensive commercial equipment, offering reproducibility and adaptability for small-scale and research-based cultivation. The proposed chamber integrates thermal insulation, LED lighting, forced ventilation through the implementation of extractors, a recirculating irrigation system with double filtration, and a sensor-based environmental monitoring platform operated via an Arduino UNO microcontroller. The design features a removable tray that serves as a support for the mother plant, an observation window covered by a movable dark acrylic that prevents the passage of external light, and a vertical structure that facilitates optimal space utilization and ergonomic access. Functionality was conducted using a Stevia rebaudiana Bertoni mother plant maintained for 30 days under monitored conditions. Environmental parameters—temperature, relative humidity, and illuminance—were recorded continuously. The plant showed vegetative development through new shoot emergence and the growth in height of the plant, and despite a loss in foliage expansion, it confirmed the chamber’s capacity to support sustained growth. Although no statistical replication or control group was included in this preliminary evaluation, the system demonstrates technical feasibility and practical utility. This chamber provides a replicable platform for future experimentation and propagation studies. Complete technical specifications, schematics, and component lists are provided to enable replication and further development by other researchers. The growth chamber design aligns with the goals of open-source agricultural innovation and supports knowledge transfer in controlled-environment plant propagation technologies. Full article

Interdisciplinary research catalyzes innovation in mobile health (mHealth) by converging medical, technological, and social science expertise, driving critical advancements in this multifaceted field. Our longitudinal analysis evaluates how the NIH mHealth Training Institute (mHTI) program stimulates changes in research trajectories through a computational examination of 16,580 publications from 176 scholars (2015–2022 cohorts). We develop a hybrid analytical framework combining large language model (LLM) embeddings, Uniform Manifold Approximation and Projection (UMAP) dimensionality reduction, and Hierarchical Density-Based Spatial Clustering of Applications with Noise (HDBSCAN) clustering to construct a semantic research landscape containing 329 micro-topics aggregated into 14 domains. GPT-4o-assisted labeling identified mHealth-related publications occupying central positions in the semantic space, functioning as conceptual bridges between disciplinary clusters such as clinical medicine, public health, and technological innovation. Kernel density estimation of research migration patterns revealed 63.8% of scholars visibly shifted their publication focus toward mHealth-dense regions within three years post-training. The reorientation demonstrates mHTI’s effectiveness in fostering interdisciplinary intellect with sustained engagement, evidenced by growth in mHealth-aligned publications from the mHTI scholars. Our methodology advances science of team science research by demonstrating how LLM-enhanced topic modeling coupled with spatial probability analysis can track knowledge evolution in interdisciplinary fields. The findings provide empirical validation for structured training programs’ capacity to stimulate convergent research, while offering a scalable framework for evaluating inter/transdisciplinary initiatives. The dual contribution bridges methodological innovation in natural language processing with practical insights for cultivating next-generation mHealth scholarship. Full article

Marine microalgae have emerged as promising biofactories for the sustainable production of high-value bioactive compounds with significant applications in human health, cosmetics, and functional foods. This review offers a comprehensive overview of the primary classes of bioactives synthesised by marine microalgae, including polyunsaturated fatty acids, carotenoids, phycobiliproteins, peptides, sterols, polysaccharides, phenolic compounds, vitamins, mycosporine-like amino acids, and alkaloids. These compounds demonstrate diverse biological activities, such as antioxidant, anti-inflammatory, antimicrobial, anticancer, immunomodulatory, and photoprotective effects, increasingly validated through in vitro, and clinical studies. Their mechanisms of action and roles in disease prevention and wellness promotion are examined in detail, with an emphasis on pharmaceutical (e.g., cardiovascular, neuroprotective), cosmetic (e.g., anti-ageing, UV protection), and nutraceutical (e.g., metabolic and immune-enhancing) applications. The review also addresses critical challenges in strain selection, cultivation technologies, downstream processing, product standardisation, and regulatory approval. Simultaneously, emerging opportunities driven by synthetic biology, omics integration, and circular biorefinery approaches are transforming marine microalgae into precise platforms for next-generation bioproducts. By summarising current knowledge and future directions, this work underscores the essential role of marine microalgae in advancing the blue bioeconomy and tackling global sustainability challenges. Full article

In an era of rapid digital transformation, organisations must cultivate dynamic capabilities that promote innovation and continuous learning. This study examines how self-determined motivation and innovation adoption are crucial enablers in developing the digital competencies essential for employees to navigate digital transformation. Grounded in Self-Determination Theory and the Diffusion of Innovation framework, our research underscores the systemic role of individual agency, technological advancements, and organisational structures in facilitating workforce adaptation. Employing a quantitative approach with 152 survey participants, our findings reveal that self-determined motivation alone is inadequate, while adopting innovation significantly influences digital competence. We demonstrate that human-centred factors must align with systemic digital transformation efforts. Moreover, we highlight the necessity of integrating employee capabilities into broader enterprise and government digital innovation strategies. The implications of this study are both theoretical and practical. We stress the need for organisations to design change processes that support digital knowledge acquisition and adaptability in evolving workplaces. Our research offers a systemic perspective on digital transformation, reinforcing that successful organisational innovation requires structured learning environments that empower employees. By fostering an ecosystem where digital competencies are nurtured, organisations can enhance agility, resilience, and sustained competitiveness in the digital age. Full article

In the modern digital ecosystem, the effective management of knowledge and the integration of information and communication technologies are the keys to revolutionizing educational practices within higher education institutions. This study presents a systematic review of recent literature, examining how the incorporation of information and communication technologies facilitates the creation and transfer of knowledge, enables collaboration among educators, and supports continuous professional development. We explore the benefits of personalized learning and the application of technological tools to enhance collaboration, access to educational resources, and pedagogical reflection. The key findings emphasize the role of these tools in promoting teacher interaction and exchange of ideas, highlighting the critical importance of training in digital competency to maximize their impact. The study also identifies challenges, including the need to improve effective knowledge transfer and technological training. In conclusion, effective knowledge management, supported by information and communication technologies, fortifies digital competencies and cultivates a culture of collaboration and content creation in higher education institutions. Full article

Generation Z is emerging as a powerful force in shaping global consumer behavior, particularly in the market of digital and technological products. This study examines how specific branding dimensions, such as online brand experience, engagement, image, trust, loyalty, awareness, behavioral intention, and brand knowledge, influence Gen Z’s purchase intention, emphasizing sustainable consumption. Sustainable consumption, in this context, refers to the preference for tech products that minimize the environmental impact through eco-friendly design, energy efficiency, and responsible sourcing. Using a quantitative approach, this cross-sectional research explores the effects of online brand experience, engagement, image, trust, loyalty, awareness, behavioral intention, and knowledge on purchasing newly launched technological products that align with sustainability. Data were collected from a Gen Z sample using a combination of convenience and systematic sampling, and multiple regression analysis identified the most significant predictors of purchase intention. The results indicate that online brand experience, brand image, brand trust, and brand loyalty play the most crucial roles, having a greater effects on Gen Z’s purchase intention, while brand awareness and knowledge also contribute. However, brand engagement and behavioral intention have weaker effects. These findings suggest that brands targeting Gen Z should prioritize building a strong, trustworthy, and engaging online presence while highlighting their sustainability efforts, and when Gen Z consumers have favorable digital interactions with a brand, perceive its image positively, trust it, and feel loyal to it, they are more likely to consider purchasing its sustainable offerings. This study enhances the understanding of Gen Z’s consumer behavior and offers insights for businesses seeking to foster sustainable consumption by highlighting the importance of developing marketing strategies that strengthen online brand experience, cultivate trust and loyalty, and clearly communicate sustainability values, such as through engaging digital content, transparent messaging, and eco-conscious branding, to effectively foster sustainable consumption among this environmentally conscious and digitally driven generation. Full article

Despite the emphasis on consumption and production patterns in the Sustainable Development Goals (SDGs), plastic pollution remains inadequately addressed. This research contributes to the limited literature on sustainable consumption and disposal of plastic in developing contexts and demonstrates how universities can effectively integrate sustainability competencies into a subject-specific curriculum. This study examined how teacher training programs can address plastic pollution through curriculum innovation and experiential challenge-based learning. Focusing on technology student teachers (TSTs) at a South African institution, the research explored their experiences with community-based problem-solving activities related to plastic consumption and disposal. The polymer module was restructured to combine theoretical knowledge with practical sustainability actions, engaging students in real-world environmental challenges. Data were generated via focus group interview, reflective journal, and photovoice. Working in teams across four communities, TSTs conducted plastic audits in households, shared findings with community members, and collaboratively developed sustainable solutions. This approach bridged the gap between academic learning and environmental action, addressing the critical global plastic crisis that contributes to fossil fuel depletion, ecosystem damage, and greenhouse gas emissions. The findings highlight the potential of teacher education to cultivate environmentally conscious educators who can inspire sustainable thinking and action across educational settings. The practical implications of this research extend beyond the classroom, offering a replicable model for teacher education programs to empower future educators as change agents who can facilitate sustainable community action through knowledge co-creation and context-specific environmental problem-solving. Full article

Oil palm is one of the primary vegetable oil sources worldwide, including in Tanzania. Tanzania’s mean palm oil yield is 1.6 tons per hectare, far below the 6 to 8 tons per hectare reported elsewhere. This low oil yield is attributable to underdeveloped, unsustainable oil palm production systems and improvements, several biotic and abiotic stresses, and socio-economic and policy challenges that have yet to be systematically documented to guide large-scale production, breeding, and research support. The objectives of this study were to appraise oil palm production and improvement in Tanzania, focusing on constraints, opportunities, and farmers’ major preferences. A participatory rural appraisal study was conducted in Kigoma Region, in three selected districts. Data were collected from 392 oil palm farmers using semi-structured questionnaires and 54 focus group discussants. Data were subjected to statistical analyses to discern the variables and their significant associations using the Statistical Package for Social Science (SPSS Inc., 2020). About 98.5% of the participant farmers engage in oil palm production. Most respondent farmers predominantly cultivate the Dura oil palm type (97.4%), followed by Tenera (50%). The farmers’ major reported oil palm production constraints were an inadequate supply of improved planting materials (reported by 82.7% of respondents), poor access to credit (72.4%), a high cost of production inputs (59.4%), poor market access (56.4%), insect pests and diseases (53.6), and poor production technologies (45.4%). A chi-square analysis of farmers’ production constraints revealed that the unavailability of labor (X² = 41.181; p = 0.000); limited extension services (X² = 29.074; p = 0.000); and diseases and pests (X² = 19.582; p = 0.000) differed significantly across the study area. Additionally, the lack of fertilizers (X² = 14.218; p = 0.001); inappropriate technology and knowledge gaps (X² = 10.529; p = 0.005); and poor market access (X² = 6.621; p = 0.036) differed significantly across districts. A high oil yield (reported by 58.7% of the respondents), a high number of bunches per plant (40.5%), early maturity (37.2%), and tolerance to droughts (23%) and diseases and insect pests (18.9%) were the most preferred traits by farmers in oil palm varieties. Therefore, integrative and sustainable breeding oil palm for enhanced yields and farmers’ preferred traits will increase the adoption of newly improved varieties for local palm oil production, import substitution, and economic development in Tanzania. Full article

Cotton fiber length is an important measurement for application in the textile industry, and researchers are seeking to cultivate cotton plants with longer fibers. In this study, cotton fiber genes were systematically reviewed through meta-analysis in terms of extending and shortening fiber and the use of different research technologies for the first time. PubMed, Web of Science, China National Knowledge Infrastructure (CNKI), and Baidu Xueshu databases were included as literature retrieval sources. A total of 21,467 articles were retrieved, and 45 articles were used in the final analysis. Data analysis was performed using RevMan 5.4 software. To shorten cotton fiber length, clustered regularly interspaced short palindromic repeats (CRISPR)-Cas9 technology was superior to virus-induced gene silencing (VIGS) technology and RNA interference (RNAi) technology [p = 0.002, MD = −1.05, 95% CI (−1.73, −0.37), Chi² = 39.89]. To increase cotton fiber length, CRISPR-Cas9 technology had a similar effect as VIGS technology [p = 0.12, MD = −0.59, 95% CI (−1.33, −0.15), Chi² = 0.17]. When some genes (GhLAC15, GhALDH7B4, GhMDHAR1A/GhDHAR2A, STTM-miR396b, GhMYB44, GhFP2, GhMYB7, GhKNL1, GhTCP4, GhHDA5, GhGalT1, GhKNOX6, GhXB38D, and GhBZR3) were damaged, cotton fiber length increased. Furthermore, we found that after gene interference, the fiber-shortening genes occurred more frequently than the fiber-elongating genes. Synergistic research on these genes may better promote cotton fiber elongation. Full article