Search Results (124)

Sustainable rural development seeks to balance social, economic, and environmental needs in rural areas, improving the quality of life of communities and the long-term protection of natural resources. Indigenous local solutions give place to grassroots entrepreneurial initiatives, which together with associative and economic integration are key factors for agricultural production, transformation of products, self-consumption, and commercialization. This study was done in Hñähñu communities with the aim to test if participative workshops based on detonating questions are an effective approach for developing entrepreneurship agriculture initiatives of self-managed social enterprises. The initiatives were proposed by the communities to solve local problems. Three initiatives arose: (1) a community seed bank of local species associated with the Milpa including agave; (2) reforestation with agave to produce agave shoots, leaves, and sap; and (3) a company to produce agave-sap syrup. The participants, based on their traditional knowledge, developed the projects, including economic evaluation, risk analysis, and environmental aspects. Some impacts are the conservation of soil and endangered landraces, accessibility to quality seeds not commercially available, building of local organizational and entrepreneurial capacities, strengthening the community, improving the family’s income, recovery of traditional agroecological techniques, and conservation of agrobiodiversity. In conclusion, the methodology is effective for the Indigenous communities to develop initiatives for sustainable self-managed social enterprises. Full article

Air quality management concerns the assessment, analysis and mitigation strategies associated with ensuring that air is breathable and non-toxic. Successful management is a cognitively intensive task, knowledge-focused and converges multiple sources of information to develop a shared understanding of a problem. To operate effectively in this space, managers and operational teams share common points of reference in discussing problems and solutions, strategies, tactical briefings, etc., and communication and technical language use are key to the discipline. However, few studies have homed in on the language communities of air quality management discourse, and fewer still have exploited this to gain insight into the cognitive processes underpinning salient operational knowledge production. This paper draws upon a discussion from a multi-stakeholder workshop on bioaerosols and the built environment and draws upon Cognitive Linguistics to systematically examine the cognitive structuring of those different stakeholder representations. This approach is then explored as a contribution to good practice in air quality knowledge management and communication that is consistent with studies on cognitive and learning science and has potential for policy formulation. Full article

Agricultural water resource management is increasingly challenged by climate variability, land degradation, and socio-economic pressures, particularly in the Mediterranean region. This study, conducted in 2023–2024 within the REACT4MED project (PRIMA initiative), addresses sustainable water use through a comparative analysis of organic and conventional farms in the Stornara and Tara area (Puglia, Italy). The research aimed to identify critical indicators for sustainable water management and develop ecosystem restoration strategies that can be replicated across similar Mediterranean agro-ecosystems. An interdisciplinary, participatory approach was adopted, combining technical analyses and stakeholder engagement through three workshops involving 30 participants from diverse sectors. Fieldwork and laboratory assessments included soil sampling and analysis of parameters such as pH, electrical conductivity, soil organic carbon, nutrients, and salinity. Cartographic studies of vegetation, land use, and pedological characterization supplemented the dataset. The key challenges identified were water loss in distribution systems, seawater intrusion, water pumping from unauthorized wells, and inadequate public policies. Soil quality was significantly influenced by salt stress, hence affecting crop productivity, while socio-economic factors affected farm income. Restoration strategies emphasized the need for water-efficient irrigation, less water-intensive crops, and green vegetation in infrastructure channels while incorporating also the native flora. Enhancing plant biodiversity through weed management in drainage channels proved beneficial for pathogen control. Proposed socio-economic measures include increased inclusion of women and youth in agricultural management activities. Integrated technical and participatory approaches are essential for effective water resource governance in Mediterranean agriculture. This study offers scalable, context-specific indicators and solutions for sustainable land and water management in the face of ongoing desertification and climate stress. Full article

With the advent of Industry 4.0, the manufacturing industry is facing unprecedented data challenges. Sensors, PLCs, and various types of automation equipment in smart factories continue to generate massive amounts of heterogeneous data, but existing systems generally have bottlenecks in data collection standardization, real-time processing capabilities, and system scalability, which make it difficult to meet the needs of efficient collaboration and dynamic decision making. This study proposes a multi-level industrial data processing framework based on edge computing that aims to improve the response speed and processing ability of manufacturing sites to data and to realize real-time decision making and lean management of intelligent manufacturing. At the edge layer, the OPC UA (OPC Unified Architecture) protocol is used to realize the standardized collection of heterogeneous equipment data, and a lightweight edge-computing algorithm is designed to complete the analysis and processing of data so as to realize a visualization of the manufacturing process and the inventory in a production workshop. In the storage layer, Apache Kafka is used to implement efficient data stream processing and improve the throughput and scalability of the system. The test results show that compared with the traditional workshop, the framework has excellent performance in improving the system throughput capacity and real-time response speed, can effectively support production process judgment and status analysis on the edge side, and can realize the real-time monitoring and management of the entire manufacturing workshop. This research provides a practical solution for the industrial data management system, not only helping enterprises improve the transparency level of manufacturing sites and the efficiency of resource scheduling but also providing a practical basis for further research on industrial data processing under the “edge-cloud collaboration” architecture in the academic community. Full article

There is growing worldwide concern about eating healthily and consuming local food. Consequently, urban agriculture has become a topical issue, especially in light of increasing demographics. The present article investigates and assesses how urban agriculture can be implemented to ensure greater food security and achieve sustainable development goals. The methodology consisted in distributing a worldwide survey, along with interviews with project managers of two urban agricultural practices in the cities of Valladolid and Segovia (Spain). The survey gathered 250 responses from nearly all continents, ensuring a diverse and global perspective and that most respondents were familiar with the concept of urban agriculture (80%) rather than food security (57.4%). The survey also revealed that 88.1% of respondents expressed their willingness to be engage in such projects. The interviews brought out a number of common points, such as ensuring that residents are properly aware about the value of integrating the food sector into cities and the benefits it provides, such as organizing activities and workshops, etc. However, promoting small organizations and start-ups linked to local production and consumption and integrating urban planning experts is crucial to ensure more resilient and sustainable cities. This research uniquely integrates quantitative survey data with in-depth qualitative case studies, linking global perceptions of urban agriculture and food security with local realities. Full article

Mass customization makes it necessary to upgrade production planning systems to improve the flexibility and resilience of production planning in response to volatile demand. The ongoing development of digital twin technologies supports the upgrade of the production planning system. In this paper, we propose a data-driven methodology for Hierarchical Production Planning (HPP) that addresses the upgrade requests in the production management system of a fuel tank manufacturing workshop. The proposed methodology first introduces a novel hybrid neural network framework with symmetry that integrates a Long Short-Term Memory network and a Q-network (denoted as LSTM-Q network) for real-time iterative demand forecast. The symmetric framework balances the forward and backward flow of information, ensuring continuous extraction of historical order sequence information. Then, we develop two relax-and-fix (R&F) algorithms to solve the mathematical model for medium- and long-term planning. Finally, we use simulation and dispatching rules to realize real-time dynamic adjustment for short-term planning. The case study and numerical experiments demonstrate that the proposed methodology effectively achieves systematic optimization of production planning. Full article

On behalf of the Canadian Association of Psychosocial Oncology, we are pleased to present the Abstracts from the 2025 Annual Conference, titled “Responding to the Human Experience of Cancer and Caring for the Soul: Building on 40 years of global leadership in psychosocial oncology”. The 40th Annual CAPO Conference was held in Toronto from 23 April 2025 to 25 April 2025. In an era marked by the rapid advancement of biologically focused precision medicine, it is imperative to redirect our attention towards the human experience of illness and the soul of medicine. Biomedicine has conceptualized illness in ways that have proved profoundly productive from a curative and biological point of view. But it cannot—and it does not pretend to—illuminate the experience of living with it. (Hurwitz 2009). This conference aims to delve into the intricate interplay between cutting-edge biomedical technologies inclusive of artificial intelligence and big data and the deeply personal narratives of individuals navigating illness. By shifting the focus from mere disease pathology to encompassing the holistic human experience, we aspire to foster a more compassionate and patient-centered approach to healthcare with psychosocial support at the core of humanistic care that can improve survival and well-being in all aspects of a whole-person approach to illness. Through interdisciplinary dialogue and introspection, we endeavor to illuminate the profound connection between mind, body, and spirit in the practice of medicine, reaffirming the timeless significance of empathy, understanding, and human connection in healing and psychosocial aspects of care as fundamental to living well with cancer. This conference brought together key stakeholders including multidisciplinary professionals from nursing, psychology, psychiatry, social work, spiritual care, nutrition, medicine, rehabilitation medicine, occupational health and radiation therapy for both adult and pediatric populations. Participants included clinicians, researchers, educators in cancer care, community-based organizations and patient representatives. Patients, caregivers and family members presented abstracts that speak to their role in managing cancer experiences and care. Over two hundred (200) abstracts were submitted for presentation as symposia, 20-minute oral presentations, 10-minute oral presentations, 90-minute workshops and poster presentations. We congratulate all the presenters on their research work and contribution. Full article

Modern product manufacturing is not only becoming more advanced but also requires increasingly precise and technologically advanced solutions, especially in the production process. One example is the automotive industry, where customization is becoming a key requirement. This work aimed to analyze the factors determining the efficiency of production processes, using the example of a selected company from the automotive industry—the production of spare parts—and to assess the impact of the applied optimization tools and techniques on improving operational results. This work combines theoretical and practical aspects, presenting a detailed analysis of data and actions taken in a real production environment. As part of the research, a thorough research program was presented, including the analysis of production data before and after conducting optimization workshops. Before the workshop, key problems were identified, such as the time-consuming rearranging of machines. The analysis using the parametric Student’s t test for two subsidiaries showed the rightness of the optimization activities. During the workshop, several changes were implemented, including the use of a new Destacker, modification of conversation procedures and training operators. The data collected after the workshop indicated a significant reduction in the times of reliance, which confirmed the effectiveness of the activities used. The analysis used tools such as the Pareto diagram and the ABC method, which allowed the identification of priority areas to improve. This work proves that the use of appropriate management tools and employee involvement in the optimization process can significantly improve the efficiency of production processes. Key success factors included the elimination of losses resulting from inefficient procedures, improvement of work organization and implementation of technological solutions. The results of this analysis form the basis for further research on improving production processes in the automotive industry. Full article

Advanced generations of mobile network technologies (XG), last-mile connectivity and edge computing solutions can offer invaluable support for farmers and agribusinesses, fostering sustainable development, though unequal access to these digital technologies may lead to a digital divide. It remains, however, unclear to what extent and why farmers are (not) ready to adopt digital technology solutions in agricultural production systems. Hence, this study identifies and assesses the constraints on and drivers for the adoption and diffusion of smart XG, last-mile connectivity and edge computing solutions in agricultural production systems, using the Adoption and Diffusion Outcome Prediction Tool (ADOPT) in a stakeholder workshop setting. Results for the case of the ‘digital shepherd’ in Flanders (Belgium) show that there is substantial potential for its adoption (~40% of the target population) and diffusion (~15 years to peak adoption). To motivate farmers to adopt the ‘digital shepherd’, its profitability, environmental benefits and management convenience are pivotal; to accelerate adoption of the ‘digital shepherd’, its trialability and evaluability, as well as farmers’ skills and knowledge, are pivotal. Addressing these factors can significantly reduce the risk of a digital divide and, hence, allow policy makers to define corresponding strategies. Full article

Irrational use of antimicrobials in humans, livestock, and poultry is often cited as the key driver of the accelerated emergence of antimicrobial resistance (AMR) in humans and animals. In Pakistan, the use of antimicrobials in livestock and poultry is not well-regulated, owing to limited and/or ineffective implementation of existing legislations and lack of coordination amongst the key stakeholders. To gather data and information pertinent to the supply chain mapping and the usage of antibiotics in the livestock and poultry sectors of Pakistan, a national workshop for selected influential stakeholders was held in Islamabad, Pakistan during March 2020 to map the supply chain and the usage of antibiotics in the country. Participants from all relevant organizations identified the supply chain and discussed the status, challenges, and the way forward to enhance data collection and monitoring of antimicrobial usage (AMU) in livestock and poultry sectors to contain the emergence of AMR. The pre-workshop questionnaire was designed to gather relevant information on AMU and its distribution among diverse markets and users from the workshop participants, utilizing open-ended questions. A chart depicting the relative magnitude of an antimicrobial use (AMU) supply chain was constructed to illustrate the flow of antimicrobials from import and production to end-use at the farm level. This chart was shared with participants to gather their professional opinions and potential corrections. It also presented a list of agencies and their roles in regulating AMU, along with the types of AMU data available at each level. Specific recommendations were made at the end of the workshop to review and update legislation to cover the entire AMU supply chain, enhance regulations to restrict the use of antimicrobial growth promoters, build an integrated national AMU database system, and raise awareness about the responsible use of antimicrobials in the livestock and poultry sectors. It was concluded that the AMU supply chain in the veterinary sector of Pakistan is fragmented and is co-regulated by various federal and provincial stakeholders. There are some drugs, such as antibiotic growth promoters, which are not regulated at all. The approach and findings from this study can serve as a model to validate the use and management of antibiotics in other, similar countries currently grappling with serious antimicrobial resistance (AMR) crises. Full article

The Copernicus program, an initiative by the European Union, offers open-access Earth observation data and high-level products through its services. However, these services are less well known in Latin America, underscoring the need to strengthen capacity-building efforts. In this context, this research examines the design and implementation of training workshops in Ecuador and panel discussions in Bolivia, focusing on the role of Copernicus Services in addressing regional challenges related to Environmental, Food Security, Climate Change, Security, and Risk Management through geospatial technologies. By tailoring training sessions in Ecuador to enhance stakeholders’ capabilities and conducting panel discussions in Bolivia to promote these services among public entities, this research highlights the successes and challenges of these initiatives. We emphasize the importance of flexible event design, alignment with local contexts, and the integration of interactive methodologies to enhance stakeholder engagement and learning outcomes. Additionally, differences and similarities between the event formats are discussed in terms of purposes and objectives, audience engagement, content delivery, attendance, and post-event outcomes. Finally, we outline the convergences and divergences in strategic priorities for future Copernicus Services training initiatives in both countries. Full article

Artificial Intelligence (AI) has the disruptive potential to transform patients’ lives via innovations in pharmaceutical sciences, drug development, clinical trials, and manufacturing. However, it presents significant challenges, ethical concerns, and risks across sectors and societies. AI’s rapid advancement has revealed regulatory gaps as existing public policies struggle to keep pace with the challenges posed by these emerging technologies. The term AI itself has become commonplace to argue that greater “human oversight” for “machine intelligence” is needed to harness the power of this revolutionary technology for both potential and risk management, and hence to call for more practical regulatory guidelines, harmonized frameworks, and effective policies to ensure safety, scalability, data privacy, and governance, transparency, and equitable treatment. In this review paper, we employ a holistic multidisciplinary lens to survey the current regulatory landscape with a synopsis of the FDA workshop perspectives on the use of AI in drug and biological product development. We discuss the promises of responsible data-driven AI, challenges and related practices adopted to overcome limitations, and our practical reflections on regulatory oversight. Finally, the paper outlines a path forward and future opportunities for lawful ethical AI. This review highlights the importance of risk-based regulatory oversight, including diverging regulatory views in the field, in reaching a consensus. Full article

Requirements elicitation is a fundamental process in software engineering, essential for aligning software products with user needs and project objectives. As software projects become more complex, effective elicitation methods are vital for capturing accurate and comprehensive requirements. Despite the variety of available elicitation methods, practitioners face persistent challenges such as capturing tacit knowledge, managing diverse stakeholder needs, and addressing ambiguities in requirements. Moreover, although elicitation is recognized as a core process for gathering and analyzing system objectives, there is a lack of a unified and systematic framework to guide practitioners—especially newcomers—through the activity. To address these challenges, we provide a comprehensive analysis of existing elicitation methods, aiming to contribute to better alignment between software products and project objectives, ultimately improving software engineering practices. We do so by performing a systematic literature review identifying crosscutting steps, common techniques, tools, and approaches that define the core activities of the elicitation process. We synthesize our findings into a metamodel that structures software elicitation processes. This review uncovers various elicitation methods—such as collaborative workshops, interviews, and prototyping—each demonstrating unique strengths in different project contexts. It also highlights significant limitations, including stakeholder misalignment and incomplete requirements capture, which continue to reduce the effectiveness of elicitation processes. Finally, our study seeks to contribute to understanding requirements elicitation methods by providing a comprehensive view of their current strengths and limitations through a metamodel enabling the structuring and optimization of elicitation processes. Full article

Industrial physical therapy (IPT) interventions by physical therapists can enhance labor productivity. However, in Japan, there is a scarcity of case studies involving corporate visits, questionnaire-based data, and insights into corporate demands. Addressing this gap is vital for improving presenteeism related to chronic pain and increasing employees’ health literacy, thereby advancing corporate health management. This case study evaluates the effectiveness of a workshop aimed at preventing and reducing chronic pain among employees in the Development Department of Company A, an information technology (IT) firm. The research employed pre- and post-survey questionnaires, workshop interventions, and meetings with corporate management to assess the current state of musculoskeletal chronic pain and productivity losses and to verify the intervention’s effectiveness. Approximately 50 participants attended the workshop in person, while around 30 participated online, totaling 80 attendees. A total of 56 (51 men and 5 women) individuals responded to the pre-workshop questionnaire, and 28 responded to the post-workshop questionnaire. The age distribution of the 56 pre-survey respondents was as follows: 9 in their twenties, 13 in their thirties, 22 in their forties, and 12 aged 50 and older. Preliminary survey results showed that 55.4% of participants experienced chronic pain in at least one body part. The average presenteeism value was 82.8% (standard deviation = 16.8). It was also found that literacy regarding appropriate pain management strategies was low. An independent t-test comparing literacy scores based on the presence or absence of pain showed no significant differences (p = 0.34). Additionally, a one-way ANOVA conducted to examine differences across four age groups revealed no significant differences (F = 0.934, p = 0.431). Results from the post-workshop questionnaires indicated that more than 70% of the employees experienced an increase in understanding and satisfaction, with positive feedback on the improvement of knowledge about chronic pain mechanisms and posture. However, there were also requests for more interactive communication and a desire to learn more about specific care methods, suggesting the need to provide interventions tailored to appropriate stages of preventive medicine. Full article

Background: Persistent inequities in access to vaccinations pose challenges for immunization programs worldwide. Innovations facilitating vaccine delivery, such as leveraging vaccine thermostability through a Controlled Temperature Chain (CTC), have emerged as a potential solution to increase coverage in low- and middle-income countries (LMICs) countries such as Côte d’Ivoire, reducing dependence on the cold chain and improving vaccine delivery efficiency. However, the added value of thermostable vaccines and their integration into national immunization programs is under-recognized by stakeholders. This consultation aimed to convene key immunization stakeholders in Côte d’Ivoire in order to examine their perceptions regarding the value of vaccine thermostability to address barriers to outreach and equity in immunization programs. Methods: A novel workshop model involving structured group discussions was used to document the viewpoints of national stakeholders representing different areas of the immunization program. They prioritized barriers undermining coverage and equity in their country and explored the potential impact of CTC on the immunization program in the context of thermostable vaccines. The vaccines discussed were for Hepatitis B, Human Papillomavirus, and Meningitis. Results: The workshop outcomes highlighted the context and vaccine-specific variation of the importance of certain barriers, emphasizing the need for tailored strategies. The barriers considered most likely to be alleviated by vaccine thermostability were under the categories of human resource management, vaccine supply and logistics, and services delivery. The least relevant category of barriers concerned demand generation. Conclusions: The consultation provided valuable insights into stakeholder perspectives, priorities, and conditions for the effective integration of thermostable vaccines, informing future product development and policy decisions to optimize vaccine delivery and address immunization challenges in LMICs. Full article