Search Results (1,338)

Traditional leaf area index (LAI) measurement methods are destructive, time-consuming, and labor-intensive. In this study, 282 four-year-old central-leader apple trees were used as research subjects. Canopy reflectance spectra in the range of 4000−10,000 cm⁻¹ were collected, and the corresponding true LAI values were measured destructively by harvesting all leaves from a representative branch of each tree using a leaf area meter. The dataset was randomly divided into training (70%) and testing (30%) sets. Eight spectral pretreatment methods were compared. The Competitive Adaptive Reweighted Sampling (CARS) algorithm was employed to extract characteristic wavelengths. Subsequently, both a BP neural network and a Support Vector Machine (SVM) model for LAI prediction were constructed. The optimal model was selected based on evaluation metrics including the coefficient of determination (R²), mean absolute error (MAE), mean bias error (MBE), and mean absolute percentage error (MAPE). The combined preprocessing of MSC and SD yielded the optimal results, screening out 26 characteristic wavelengths. The SVM linear kernel model (c = 5, g = 0.3) constructed based on MSC + SD preprocessing performed best, achieving a validation set R² of 0.90, MAE of 0.2117, MBE of −0.1214, and MAPE of 16.09%. The performance on the training set and validation set was comparable, with no overfitting observed. The MSC + SD preprocessing combined with CARS feature screening and SVM linear kernel modeling enables rapid, non-destructive estimation of apple canopy LAI, providing an effective technical tool for precision orchard management. Full article

Entrepreneurship is recognised globally as the vehicle for economic development and poverty eradication, yet in developing economies, it is not receiving the support it deserves. Based on the institutional framework, this study explores its role in fostering the development of an entrepreneurial mindset in Masvingo Province, Zimbabwe. Being grounded in the interpretivist research philosophy and following an inductive qualitative research design, the study adopted a case study strategy. Data were collected through in- depth interviews with 12 participants, purposively selected from industry leaders and entrepreneurs. Thematic analysis was used to inductively generate contextual insights from the interaction between the regulatory, socio-economic, and cultural pillars of the institutional framework and individual capabilities. The findings show that entrepreneurship development in Masvingo Province, Zimbabwe, is influenced to a greater extent by the institutional framework, which is characterised by economic volatility, infrastructure gaps, and evolving regulatory demands. The formal institutional framework was noted to confer legitimacy while, at the same time, imposing obligations on institutions; informal institutional frameworks rooted in communal values, social capital, and professional bodies helped fill gaps in the formal framework. The study also demonstrates that entrepreneurial mindset development is an integrated output of continuous learning, strategic networking, and individual capability. In reinforcing the normative dimensions of institutional theory, it was noted that entrepreneurs do not only have profit-maximisation goals but also long-term sustainability and survival targets. The study contributes to scarce empirical research on the nexus between institutional framework and entrepreneurship development in emerging economies. The findings reinforce the need for an integrated approach that streamlines the regulatory process, strengthens infrastructure, supports capacity building, and recognises the role of the informal institutional network in enhancing entrepreneurship development. Even though the qualitative, cross-sectional design limits the generalizability of the study’s findings, the study offers insights into fostering entrepreneurship development in emerging markets. Full article

The COVID-19 pandemic intensified communication challenges for community college leaders navigating prolonged uncertainty and organizational disruption. This qualitative study examines how community college administrators described and interpreted their communication practices during the pandemic. Guided by the Elaboration Likelihood Model (ELM), this study explores how leaders made sense of message design, audience responsiveness, and trust under conditions of information overload and emotional strain. Semi-structured interviews were conducted with twelve administrators from community colleges across the United States, including presidents, vice presidents, and senior-level directors. Data were analyzed using reflexive thematic analysis. Five themes emerged: communication breakdowns between employee groups; tailored messaging for specific constituencies; preferences for in-person and interactive communication; trust-building through transparency; and reliance on collaborative communication structures. Participants described communication as an ongoing relational and organizational practice rather than a one-time transmission of information. Administrators reported adapting strategies by combining repetition, audience-specific framing, interactive formats, and structural supports to manage uncertainty and sustain institutional trust. Findings are not intended to be generalizable but provide contextually grounded insight into leadership communication during an extended crisis. This study contributes to scholarship on higher education leadership and crisis communication by illustrating how persuasion, sensemaking, and relational cues intersected in administrators’ communication practices. Full article

Estimates suggest that approximately 400 million dogs are kept as pets worldwide. Despite their popularity, around 10% to 30% are surrendered to rescue shelters each year. Shelter workers play a pivotal role in the success of dog adoptions and provide ongoing support to help owners keep these dogs in their homes. However, research that captures their perspectives and experiences regarding the dog adoption process remains limited. Royal Society for the Prevention of Cruelty to Animals Queensland shelter teams participated in six focus group discussions to share their perspectives and experiences of the dog adoption process in their shelters. Reflexive thematic analysis of the gathered data generated three themes: 1. “Doing great adoptions” starts with an inclusive, well-resourced application process and a skilled team. 2. Finding the right fit involves navigating the duality of carer and advocate through honest, informative interactions with the whole family. 3. Successful outcomes involve supporting and educating the public to care for and keep their dog. This grounded understanding of the challenges facing shelters in their work could provide valuable feedback to help shelter leaders and staff develop policies and practices that support positive adoption outcomes, tailor programmes to local needs, and reduce return rates. Full article

Sustainable pedagogical reform requires more than teacher preparedness; it depends on how school leaders interpret and coordinate the conditions that enable change. This focus is particularly critical in contexts where Problem-Based Learning (PBL) is introduced within predominantly traditional, exam-oriented pedagogical environments, requiring careful consideration of leadership’s perception of system-level readiness to support such shifts. This study investigates how Chinese K–12 school leaders conceptualize readiness for institution-wide implementation of PBL. Using Q methodology with 42 school leaders, four distinct leadership logics were identified: leadership-mediated cultural readiness through recognition, belief-driven pedagogical practice, externally anchored system-level readiness, and experientially grounded cultural readiness. These viewpoints reveal different ways leaders prioritize cultural alignment, belief formation, structural coordination, and experiential learning when organizing reform conditions. Despite these differences, participants showed several areas of shared positioning, particularly around coordination, expertise-based responsibility distribution, evaluation alignment, and adaptive responses to reform conditions. The findings extend change readiness research beyond teacher-focused perspectives by demonstrating how leaders interpret readiness as a multidimensional and system-level phenomenon. By illuminating distinct leadership logics for coordinating reform within centralized governance contexts, this study highlights the importance of aligning beliefs, professional relationships, institutional structures, and student learning improvement goals to support sustainable pedagogical transformation. Full article

Leadership, and athlete leadership in particular, has been reported to be an important factor impacting upon team performance. However, while there is significant evidence supporting the importance of athlete leadership for teams, there is very little research exploring the leadership experiences and needs of female sports teams. As a result, the aim of this study was to explore the leadership experiences of the captains of professional women’s rugby teams. Participants included eight professional women’s rugby captains, recruited through personal contact. Data were analyzed adopting an interpretative phenomenological analysis (IPA) approach, resulting in the emergence of 10 superordinate themes including: factors influencing success, challenges, amateur level, leader characteristics, role models, aspects of the role, types of captains, leading by example, selection, and women’s game. Data suggests that empathy, empowerment, collaboration and shared/devolved leadership are crucial components of leadership for elite women’s rugby teams. Full article

This paper proposes a design-based framework for implementing competency-based education (CBE) in the Moodle Learning Management System (LMS) by integrating competency frameworks, learning plans (LPs), adaptive learning (AL) workflows, and visual learning path authoring. While existing research addresses these components separately, there is a lack of operational approaches that translate them into coherent and reproducible LMS-based implementations. The study adopts a design-based synthesis methodology, mapping pedagogical requirements of CBE and adaptive learning to concrete Moodle constructs and plugin-supported functionalities. Based on this mapping, a set of reusable implementation patterns is defined, including course-centric competency alignment, microlearning with branching logic, and adaptive assessment using computer-adaptive testing (CAT). The framework is further extended through visual authoring tools, including the Adele plugin ecosystem. The approach is informed by implementation experience within the TransLeader project (2023-2-PL01-KA220-HED-000179445), which integrates AI and IoT competencies with leadership training in higher education. This paper does not present empirical evaluation results; instead, it provides a structured implementation framework intended to support future empirical validation and institutional adoption. Full article

This study presents a leader–follower flight control architecture for a small-scale UAV swarm, demonstrated using a three-UAV system built on heterogeneous autopilots, GPS positioning, Raspberry Pi 3B+ units, and Wi-Fi communication. The follower UAVs autonomously maintain predefined formations while tracking the leader’s trajectory. During flight, each Raspberry Pi establishes inter-UAV communication via a Wi-Fi network using the UDP protocol, enabling real-time data exchange and attitude adjustments. An outer-loop proportional–integral control design implemented on the Raspberry Pi generates corrective commands to the corresponding autopilot to reduce the followers’ position errors. Under the tested conditions, the framework achieves formation tracking with horizontal and vertical errors of approximately 60 and 20 cm, respectively, providing initial experimental validation in a small-scale setting. In addition, a simulation environment based on pre-recorded UAV and environmental data with 3D visualization is developed to support behavior prediction, performance evaluation, and control tuning prior to real-world deployment, although its applicability beyond the tested scenarios remains to be established. Full article

This study explores health and care workers’ perceptions of the longer-term influence of a rapidly developed digital support package designed to promote psychological wellbeing during the COVID-19 pandemic. A qualitative design was used, involving semi-structured interviews with 20 health and care professionals, including frontline clinicians and senior leaders, who had used and disseminated a theory-informed digital wellbeing package, accessed globally by 82,425 users within its first year. Interviews conducted in 2025 examined participants’ accounts of perceived effects at individual, professional, and organisational levels. Data were analysed using reflexive thematic analysis informed by public mental health, organisational resilience, and implementation science perspectives. Four themes were identified: enhanced psychological wellbeing and coping; changes to professional practice and fatigue management; reframing resilience as a collective and organisational responsibility; and the sustainability and ongoing relevance of the resource beyond the pandemic. Participants described experiences such as reduced stress and anxiety, improved sleep and emotional regulation, sustained use of cognitive–behavioural strategies, and perceived improvements in functioning at work. Some participants also reported that the resource informed their thinking about leadership, psychological safety, and wellbeing practices, and described its continued relevance five years post-release. These qualitative findings illustrate how the digital wellbeing intervention was experienced by participants and how they interpreted its relevance over time. The study suggests that digitally delivered, theory-informed resources may have perceived value for individual capacity building, professional practice, and organisational approaches to resilience within health systems facing ongoing structural pressures. Full article

Across the United States, equity-oriented STEM initiatives are frequently launched through short-term grants, yet few persist once external funding ends, particularly in economically marginalized communities where institutional capacity is constrained. This longitudinal qualitative study investigates how an out-of-school-time (OST) robotics initiative developed the relational and organizational capacity to transition from a time-limited grant project into a functioning STEM ecosystem that has persisted for a decade. Drawing upon eight years of focus groups and field notes analyzed through integrated deductive and inductive approaches, the study traces how STEM ecosystem tenets were enacted, adapted, and reinforced as partners navigated resource constraints. Findings identify four mutually reinforcing mechanisms that stabilized the ecosystem beyond the grant period: relational infrastructure coordinating work across students, educators, families, university partners, and district leaders; community recognition and collective pride conferring legitimacy and mobilizing local support; parental validation and logistical advocacy; and youth identity development and near-peer leadership renewing commitment and circulating expertise. Together, these mechanisms converted initial grant-funded inputs into durable capacity by reducing coordination costs, strengthening shared responsibility, and embedding STEM participation within community meaning-making. The study contributes to STEM ecosystem research by advancing a theory-building, process-oriented explanation of how equity-focused initiatives achieve durability. Full article

This study explores how school leadership styles are perceived to relate to teacher resilience during crises in Arab schools in Israel. Drawing on twenty semi-structured interviews with principals and vice-principals, findings show that transformational and participative leadership, characterized by emotional support, accessibility, active listening, and shared decision-making, are perceived to foster teachers’ sense of security, self-efficacy, and collective resilience. In contrast, authoritarian and rigid approaches are described as contributing to increased stress, reduced motivation, and diminished coping capacity. The study highlights the significance of socio-cultural and political contexts, indicating that effective leadership in crises involves not only professional guidance but also cultural awareness, flexibility, and responsiveness to staff needs. These findings underscore the value of integrative leadership approaches and targeted professional development to support teacher well-being and organizational resilience in crisis-prone settings. By focusing on leaders’ perspectives, the study contributes to understanding how culturally sensitive and adaptive leadership practices may support educational stability under conditions of uncertainty. Full article

This study explains how strategy–execution gaps become self-reinforcing during digital process transformation in layered manufacturing organizations. Drawing on an embedded qualitative process study of a large Chinese brewery’s transformation (2020–2024), we triangulate 10 semi-structured interviews across hierarchical levels with longitudinal public disclosures to reconstruct the initiative timeline and trace mechanisms across change phases. The analysis shows that platform-based process governance can scale faster than shared meaning and dialog, producing frontline sensemaking gaps and formalistic, top-down communication. These conditions thin employee voice and weaken feedback closure, which in turn erodes the legitimacy of organizational diagnosis and fragments implementation support. As interface problems are handled through local workarounds, management intensifies visibility-based monitoring, further suppressing voice and reinforcing the execution gap. We develop an organizational development process model that centers feedback closure and diagnosis legitimacy as bridging mechanisms linking soft change dynamics (meaning, trust, voice) with hard digital governance (process standards, data infrastructures, monitoring). The model offers actionable implications for leaders to build closure and legitimate diagnosis as operational capabilities throughout transformation. Full article

Cultured meat holds the potential to reduce environmental impacts and offer ethical advantages while replicating the nutritional, taste, and texture attributes of conventional meat. To date, most research on consumer acceptance of meat has focused on European and North American markets. In contrast, Muslim-majority countries remain underexplored, particularly regarding the compatibility of cultured meat with Islamic dietary laws. These societies are experiencing rising meat consumption, and countries such as Saudi Arabia and Malaysia rely heavily on meat imports. This narrative perspective article aims to systematically examine how specific stages of cultured meat production align with, or challenge, Islamic dietary (halal) principles. To this end, we adopt a stage-based analytical approach, mapping key technological steps in cultured meat production onto core requirements of Islamic jurisprudence. To this end, we critically and comprehensively examine the intersection between cultured meat production methods and the Islamic concept of halal, which extends beyond ingredient permissibility to encompass ethical, spiritual, and hygienic dimensions of food production. Key challenges to halal certification include the origin and status of starter cells, whether donor animals were slaughtered according to Islamic law, the permissibility of biopsied tissue, and the use of fetal bovine serum in growth media. The analysis indicates that while halal-compliant cultured meat is scientifically feasible, its adoption remains constrained by unresolved religious interpretations, regulatory fragmentation, and limited availability of halal-certified inputs. We emphasize the need for interdisciplinary collaboration among Islamic scholars, food scientists, certification bodies, and policymakers. From a policy perspective, harmonized halal standards, targeted investment in serum-free and animal-free culture media, and early regulatory engagement with Islamic authorities are essential to facilitate responsible market entry. Therefore, we suggest a multi-level governance and stage-gated halal decision framework for cultured meat. Proactive regulation and open dialogue with religious leaders are vital to ethically introduce cultured meat into Muslim markets, aligning innovation with Islamic values while supporting national sustainability and food security goals. Full article

Leaders and managers frequently face the need to make highly complex decisions with incomplete or fragmented information. Traditional decision support systems largely emphasize the visualization of data but often fall short in producing context-sensitive insights that can directly inform decision-making. This paper examines how narrative techniques combined with machine learning can strengthen communication across organizational hierarchies, particularly by improving the transfer of tacit expertise and contextual knowledge. To explore this, a transdisciplinary literature review was conducted using articles published within the last five years from databases such as Scopus, Web of Science, and ScienceDirect. The review highlights that narrative-driven reporting has been most commonly applied in fields such as accounting and sustainability, where expert interpretation replaces purely numerical summaries with more meaningful analytical explanations. Such approaches can also embed sentiment and personalization, commonly referred to as Narrative Disclosure Tone. Building on this foundation, the study investigates how Artificial Intelligence-driven decision support can formally integrate narrative elements to enhance report clarity, usability, and strategic relevance. Findings suggest that combining machine learning with expert-driven narrative reporting supports more innovative decision support systems and facilitates the alignment of tacit knowledge with data-driven insights. Full article

To address the challenges of low-carbon economic optimization and collaborative management for multiple Virtual Power Plants (VPPs), this paper proposes a low-carbon economic optimization and collaborative management method based on a Stackelberg game framework. Firstly, a Stackelberg game model is constructed with the Distribution System Operator (DSO) as the leader and multiple VPPs as followers. The leader (DSO) guides the followers’ behavior through dynamic pricing strategies to maximize its own utility. Meanwhile, the followers (VPPs) develop energy management strategies to minimize their individual costs, taking into account factors such as energy transaction costs, fuel costs, carbon trading costs, operation and maintenance (O&M) costs, compensation costs, and renewable energy generation revenues. Furthermore, the strategy spaces of all participants are defined, and an optimization model is established subjected to constraints including energy balance, energy storage operation, power conversion, and flexible load response. The CPLEX solver and Nonlinear-based Chaotic Harris Hawks Optimization (NCHHO) algorithm are employed to solve the proposed game model. Simulation results demonstrate that the proposed method effectively facilitates collaboration between the DSO and multiple VPPs. While ensuring the safe operation of the system, it balances the profit between the DSO and VPPs, and incentivizes renewable energy consumption and indirect carbon reduction, thereby validating the effectiveness and superiority of the method and providing reliable technical support for the low-carbon collaborative operation of multiple VPPs. Full article