COVID-19 pandemic exhausted the learning resources in the educational system of the Philippines. This situation called for learning materials to supplement the teaching-learning process while in distance education. Hence, this paper utilized asynchronous video lectures (AVL) infused with online learning simulators (OLS) to supplement learning approaches in teaching cell division. Specifically, the goal of this study is to asses the students’ motivation as well as their common misconceptions in learning cell division. Using students’ motivation towards science learning (SMTSL) questionnaire, it was found that the learners are moderately motivated in general and are low to highly-motivated in other areas considered. These results may be associated to the absence of teacher and student interaction. Using the relational and structural scoring of concept maps, it was found that the concept map scores of the learners before and after the use of AVL with OLS were found to be significant. This implies that the misconception of the learners has significantly improved. With this, the AVL with OLS can be utilized as a learning supplement to teach cell division with recorded moderate levels of motivation among learners as well as the significant improvement in the misconceptions among them. Nonetheless, more improvements may be applied to boost the motivation levels among learners.

Assessing the resilience of regional water resource systems: A case of the Hexi inland river basins, China

In alignment with the United Nations Sustainable Development Goals (SDGs)—specifically Goal 4 (Quality Education) and Goal 11 (Sustainable Cities and Communities)—Japan has witnessed a burgeoning interest in sustainable, child-centered educational environments. A primary focus of this movement is the integration of wood and natural materials in early childhood education (ECE) facilities, catalyzed by national policies such as the 2010 Act on the Promotion of Use of Wood in Public Buildings and the 2015 "Wooden School Initiative". This study investigates how wooden architecture in ECE facilities contributes to sustainable development and high-quality, inclusive education through a focused qualitative case study of a wooden kindergarten in Japan. The research employs the original conceptual framework of "Community-Co-Created Educational Design," which positions educational space as an interface between architecture, pedagogy, and local resource systems. Methodologically, the study draws on a semi-structured interview with a senior facility manager, supplemented by stakeholder interviews with the facility’s designer and play equipment manufacturer to ensure data triangulation. The findings demonstrate that wood-based design transcends aesthetics to become a socio-material vehicle for local sustainability, intergenerational learning, and social cohesion. While the study acknowledges the inherent representational limitations of a single primary informant, it provides foundational insights for global discourse on ecological awareness and child-friendly urban planning. Furthermore, identified challenges—including limited subsidy awareness, maintenance demands, and policy-practice gaps—highlight the necessity for implementation-oriented strategies to sustain these environments. This research offers critical insights for policymakers and designers aiming to integrate children’s well-being with sustainable community development

Global business environmental uncertainty, triggered by "Black Swan" phenomena, demands that organizations transform beyond passive resilience toward anti-fragility capabilities, where Human Resource (HR) systems actually grow stronger through market disruptions. This study aims to analyze the concept of anti-fragility within organizational leadership, explain the role of transformational leadership in shaping anti-fragile employees, and identify organizational strategies for navigating market uncertainty. The approach employed is a narrative literature review using content analysis techniques across various reputable scientific journals, anti-fragility theory, and organizational case studies such as Disney+, Zoom, and Tractor Supply. Research findings indicate that transformational leadership acts as a primary catalyst that builds anti-fragility through intellectual stimulation, decentralized autonomy, and the creation of a culture that learns from failure. Organizational strategies prioritizing resource flexibility, cross-skilling, and optionality have proven effective in converting crisis stressors into opportunities for innovation and performance growth. The contribution of this article lies in the development of an "Anti-Fragile Leadership" conceptual framework that integrates the philosophical principles of anti-fragility into strategic HRM practices. The practical implications provide a guide for organizational leaders to design work systems that are adaptive and proactive toward market volatility, ensuring that organizations not only survive but thrive from chaos.

Optimizing task scheduling in cloud computing is a major challenge that impacts system performance and resource use. Balancing different workloads, given the limits of the system and user needs, is difficult. Poor management of both underused and overburdened states can lead to problems like high energy use and hardware failures. Therefore, distributing tasks among virtual machines (VMs) is crucial in cloud task scheduling. This work introduces a dynamic load balancing algorithm called CHHO (Cuckoo Harris Hawk multi-objective Optimization). CHHO is a new hybrid method that combines Cuckoo Search Optimization (CSO) and Harris Hawk Optimization (HHO). This combination uses the strengths of both algorithms to address the complex issues of cloud task scheduling. Specifically, CHHO uses Cuckoo Search Optimization to widen the search area of Harris Hawk Optimization, aiming to improve factors such as cost, response time, and resource use. The CHHO algorithm is designed to improve system performance by increasing VM throughput, effectively distributing workloads across VMs, and maintaining a balance among task priorities through dynamic adjustments in task waiting times. To test the performance of CHHO, the algorithm is implemented in the CloudSim simulation environment. It is compared with existing load balancing algorithms on various performance measures. Our simulation results clearly show that CHHO performs better than existing algorithms, providing a strong and efficient solution for load-balancing in cloud computing. Introducing CHHO offers a significant advancement in the field, providing a dynamic and adaptable approach that improves cloud task scheduling and enhances the overall efficiency and effectiveness of cloud computing systems.

Human crews aboard the International Space Station (ISS) rely on cutting-edge technologies for resource reuse and system operation units. However, despite this great achievement, ISS maintenance still relies on Earth proximity, which continuously supports the station and provides help in the case of systems failures. For future missions beyond Earth orbit, such support will not be feasible, and any malfunction at the life support systems must be anticipated and proactively prevented. One of the recurring problems aboard the ISS is the uncontrolled growth of a three-dimensional structure made of micro-organism suspended in an extracellular polysaccharide matrix, known as a biofilm. This phenomenon has caused the biofouling and contamination of valves, filters, and reservoirs, with biofilm growth at solid–liquid interfaces progressively clogging components and impairing fluid circulation. Microgravity plays a not well-understood role on bacteria growth and biofilm morphology under flow. From a rheological point of view, bacterial biofilms are viscoelastic active matter with dynamic properties, meaning that they can adapt their structure in response to external stresses. In this framework, understanding their rheological features is fundamental to link their mechanical response to the resilience often mentioned in the literature. In this Perspective, we first discuss the rheology of bacterial suspensions and how gravity can have an influence, highlighting activity-driven viscosity changes and motility-induced structuring. Then, we explore the mechanical development of biofilms, considering how adhesion, extracellular matrix production, and flow interact to shape viscoelastic properties. Particular attention is given to the influence of gravity on structural organization. Finally, we summarize current rheological models of biofilms, distinguishing between different kinds of biofilm structures; identify how rheology can provide useful tools to understand biofilm mechanical properties; and try to mitigate this phenomenon both on space and on Earth.

Medical emergencies in the pediatric office setting are infrequent but high-stakes scenarios. Advanced preparation will ensure that children who experience emergencies in the pediatric office receive optimal care and improved clinical outcomes. Optimizing pediatric office readiness for emergencies requires consideration of the unique aspects of each office practice, the types of patients and emergencies that might be seen, the resources available on site, and the resources of the larger emergency care system of which the pediatric office is a part. Important aspects of readiness include conducting an office-based readiness assessment reviewing annually, establishing and maintaining emergency protocols, stocking essential equipment and medications, and training office personnel to recognize and respond to emergencies. The information and resources in this technical report can be used to facilitate provision of high-quality care when pediatric emergencies occur in the office setting.

Forecast of photovoltaic material recycling and assessment of supply-demand gaps considering recycling feedback and subsidies.

To enhance the digital skills of returning college students in agricultural live streaming assistance and address the bottleneck issue of rural e-commerce talent, this paper constructs a training model focusing on system building, resource integration, and outcome transformation, addressing current issues such as training cognitive biases and imperfect systems. Research indicates that this model can improve college students' practical abilities, facilitate the upward movement of agricultural products, inject digital momentum into rural revitalization, and provide practical support for the implementation of the "Digital Commerce Promotes Agriculture" policy.

Recently, there has been a growing demand for real-time intelligent systems that can execute multiple deep neural network (DNN) models simultaneously for tasks such as object recognition, detection and tracking. However, running multiple DNNs simultaneously in resource-constrained embedded environments can lead to resource contention due to limited system resources. This can result in execution delays that cause critical issues in latency-sensitive processing. This paper proposes a dynamic scheduling technique that divides DNN models into functional units called blocks, which are then configured as execution units. Additionally, when running different models in parallel, it identifies blocks that actually increase execution time and controls them to run sequentially. Furthermore, to minimize execution delays while maintaining accuracy, we propose a dynamic lightweight replacement technique that replaces blocks with highly anticipated execution delays with lightweight blocks at runtime. This technique uses LAG , a metric which quantifies the degree of execution delay for each block, to dynamically adjust the balance between execution delays and accuracy. Experimental results show that when running multiple heterogeneous DNNs simultaneously on a commercial off-the-shelf board, the proposed technique improves latency by up to 29.3%, while maintaining 90% of baseline accuracy.

The research paper deals with two main sections: firstly, the experiment comparison between k-means and kmeans++ have been done using Elbow method and Silhouette method. Since, K-means++ is better than K-means, this research tries to justify that K-means++ has higher performance than K-means. Secondly, K-means++ has been used for Search and Information Retrieval system. Information Retrieval is an activity to obtain information system resources that are relevant to an information need from a collection of those resource. This research is useful to retrieve relevant documents that match a given query. When user add input such as industry type, job types, skills, and state, it will automatically calculate average and display the ranking. Subjective evaluation with DCG(Discounted Cumulative Gain) is done in order to measure ranking quality of information retrieval.

The Internet of Things (IoT) innovations have experienced high growth and, therefore, generate a lot of real-time data, which requires processing frameworks with a considerable efficiency and scalability low latency system. Traditional cloud computing has many benefits, but it might not be able to meet the bandwidth and latency requirements of time-dependent Internet of Things devices. To solve these shortcomings, fog computing has come to redefine a related computing paradigm, which pushes computation and storage resources to network endpoints. Fog-cloud architecture, which combines fog with cloud, offers a hybrid capability that improves system scalability, responsiveness, and resource efficiency. Devices running on heterogeneous platforms gain greatly from IoT interaction with the cloud. Applications based on the Internet of Things produce vast amounts of data from various sensors. Decisions are made by analyzing this data. Nevertheless, use cases of IoT environments are dynamic and heterogeneous posing challenging issues in the distribution of work load in such a layered infrastructure. The provided study includes a thorough analysis of fog-cloud system load balancing solutions, including their categorization, performance metrics, and applicability. It also discusses many vital issues, including latency constraints, resource heterogeneity, energy efficiency, and provides future research meets the objectives of intelligent, adaptive, and context-sensitive load balancing in the next-generation IoT systems.

Background Job satisfaction serves as a pivotal mediating construct in organisational behaviour, significantly influencing employee performance and the overall effectiveness of human resource systems. Evidence shows organisational conditions translate into HPWS in India remains limited. Objective This study examines the mediating role of job satisfaction in the relationship between leadership Style, training and development, employee engagement, and organisational culture and the implementation of HPWS with AMO, RBV and SET. Methods Employing a quantitative research design, data were collected from 270 employees representing diverse sectors across India. The dataset was analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM) through SmartPLS 4.0, ensuring high levels of construct reliability and validity. Results The empirical results demonstrate that all four organisational factors exert a significant positive influence on job satisfaction, which, in turn, acts as a powerful mediating mechanism enhancing the effectiveness of HPWS. The findings highlight the importance of employee-centric psychological enablers in driving sustainable organisational performance. Conclusion The study advances the Strategic Human Resource Management literature by proposing an integrative and employee-focused framework that links HR practices with employee well-being. Practically, it offers guidance for HR professionals to strengthen leadership, engagement, learning, and organisational culture, thereby fostering job satisfaction and long-term performance in post-pandemic organisational contexts.

With the growing importance of MLOps methodologies in the deployment and maintenance processes of machine learning models, there is an increasing demand for efficient and scalable management of computational resources in such environments. Despite numerous studies on tools supporting MLOps, relatively limited attention has been devoted to the optimization of task and component allocation regarding available system resources. This article presents the concept of a method for optimizing component allocation in a system with MLOps architecture, using a mathematical model, a genetic algorithm, a MLOps environment simulator to evaluate solutions, and multi-criteria evaluation methods. The proposed approach incorporates critical infrastructure parameters, including CPU and GPU processing capabilities, memory usage, and network bandwidth, alongside the operational characteristics of MLOps-specific components.

The synergistic management of water resources, the water environment, and the water ecology system (“Three-waters” system) is fundamental to ensuring regional water security and advancing sustainable development. However, existing evaluation indicator systems rely on expert experience and lack quantitative screening criteria, leading to indicator overlap and insufficient representativeness, which restricts the scientificity of management decisions. The study proposes a method integrating meta-analysis with case verification to construct an indicator system. A systematic review of 60 publications (1970–2024) from the Web of Science was conducted and a random effects model was used to merge effect sizes and quantify correlations and heterogeneity between indicators and the “Three-waters” system. The results indicate that the industrial water use proportion (R = −0.77) is the main stress factor in the water resources system, the negative effect of total hardness (R = −0.91) is the most significant in the water environment system, the contribution of the benthic diversity index (R = 0.90) is the most prominent in the water ecology system and vegetation coverage (R = 0.74) exhibits a strong positive effect in the social economic system. The case verification confirms the indicator system established under this method is consistent with the actual situation. This study provides methodological support for system diagnosis, coordinated regulation, and policy formulation, promoting the transformation from single-element to systemic water management.

In the context of a deeply digitized media environment, the communication logic of revolutionary sites is shifting from "venue exhibition" to a composite model of "platform connection—scene expansion—interactive participation". Guangdong, with its comprehensive revolutionary site resource system, mature urban media conditions, and large youth population, provides a typical sample for observing how digital media reshapes the communication of Red culture. Based on spatial production theory, the spatialization of media research, and the perspective of youth cultural communication, this paper analyzes the specific mechanisms through which digital media promotes the spatial reproduction of revolutionary sites and the construction of youth identity. This analysis is combined with public cases such as the Guangdong Red Map, Online Red Exhibition Hall, the WeChat mini-program "Check-in Guangdong Red", the AR metaverse project of the Memorial of the Site of the Third National Congress of the Communist Party of China (CPC), the Shaoguan Long March Digital Experience Base, the immersive stage play themed on the Whampoa Military Academy, and the "Heroic Flowers Blooming in a Heroic City" campaign. The study concludes that digital media is not merely adding a technological shell to physical sites; rather, through digital mapping, scene reconstruction, interactive participation, and community diffusion, it transforms the way Red culture enters the life world of youth, turning revolutionary sites from mere "destinations" into "public cultural interfaces accessible at any time." However, concurrently, there are issues such as technological showboating overshadowing historical interpretation, unbalanced regional platform construction, and data evaluations overly biased toward traffic metrics while neglecting deep-seated identity. The digital communication of Guangdong revolutionary sites should adhere to a content-based approach, youth co-creation, cross-platform synergy, and ethical governance, enhancing ideological depth, historical richness, and value-guiding power while increasing visibility.

With the rapid acceleration of economic globalization, multinational enterprises increasingly operate across highly complex and culturally diverse environments, making effective cross-cultural management a decisive factor influencing overall organizational performance, competitive resilience, and long-term sustainability. Inherent cultural differences fundamentally shape employees' core values, interpersonal communication patterns, leadership expectations, and intrinsic motivational preferences. Consequently, these dynamics create multifaceted challenges for multinational enterprises seeking to seamlessly integrate globally dispersed workforces while maintaining operational coherence. This paper systematically explores how multinational enterprises can achieve superior cross-cultural management through the implementation of adaptive and culturally sensitive human resource management strategies. Particular emphasis is placed on the critical domains of talent recruitment, cross-cultural training programs, tailored motivation mechanisms, and comprehensive employee development frameworks. Drawing on established theoretical paradigms of cross-cultural management and international human resource management, this study adopts a rigorous qualitative, theory-informed case analysis approach, utilizing the Coca-Cola Company as a primary illustrative example. The in-depth analysis demonstrates that culturally responsive yet strategically integrated human resource practices empower multinational enterprises to effectively transform cultural diversity from a potential operational friction point into a robust source of organizational flexibility, heightened employee engagement, and sustained competitive advantage. Ultimately, this paper significantly contributes to the broader cross-cultural management literature by explicitly highlighting the strategic, indispensable role of sophisticated human resource systems in successfully balancing the dual imperatives of global integration and local responsiveness within modern multinational enterprises.

The Internet of Things (IoT) has emerged as one of the most transformative technological models of the twenty-first century, enabling the unified interconnection of billions of physical objects with digital infrastructure. This study systematically examines the applications of IoT across many fields that include healthcare, agriculture, smart cities, Industry 4.0 and smart homes. This review covers the benefits of IoT deployment in each sector, critically analyzes the persistent technical, security and socioeconomic challenges that hinder broader adoption and identifies convergence trends with artificial intelligence (AI), blockchain, edge computing, 5G connectivity, etc. This study reveals that although IoT holds substantial promise for improving system operational efficiency, resource management and quality of life, significant barriers, such as cybersecurity vulnerabilities, interoperability deficits, privacy infringements and infrastructure costs needs attention prior to realizing the full potential of the technology. This review covers future research scope and policy recommendations for effective IoT deployment.

The rapid growth of biological resources and associated research outputs has increased the complexity of resource discovery, access, and reuse across heterogeneous repositories. However, fragmented metadata schemas, limited interoperability, and siloed access mechanisms continue to hinder the integrated exploration of biological resources and their associated knowledge. Herein, we present BioOne (Biological resources One-Stop service platform), a unified informatics framework designed to address the fragmentation of national biological resources by integrating heterogeneous metadata from 14 distinct clusters and establishing a seamless resource-to-knowledge pipeline to enhance the discoverability and practical utilization of biological assets.BioOne is a national-scale web-based discovery platform that harmonizes biological resource metadata across 14 domain-specific biological resource clusters in Korea and systematically links these resources with external knowledge objects, including research papers, patents, biological datasets, and disease-drug-target information, through a unified discovery interface. To achieve this, we adopted a standard-aligned metadata integration framework, interoperable identifier mapping, and a modular system architecture to support scalable indexing, cross-domain search, and association-based navigation. By extending conventional catalog-based biological resource databases with an integrated discovery and access layer connecting distributed biorepositories to evidence-oriented knowledge resources, BioOne provides an informatics infrastructure for data-driven discovery, translational research, and coordinated utilization of biological resources at the national scale. The BioOne also offers a transferable implementation model for the large-scale integration of distributed biological resource systems.

While spirituality and contemplative practices are increasingly invoked in response to environmental crisis, the specific mechanisms by which they may mediate professional ethical action remain underdeveloped. This is particularly evident regarding nuclear harm, an existential planetary threat often siloed from health scholarship. This paper investigates the mediating mechanism of contemplative formation as the analytical link between spiritual ethics and planetary health. By centering this link, we demonstrate how professional nursing identity can be restructured to address existential threats like nuclear harm, which are currently under-integrated in health scholarship. We employed a convergent, integrative design combining a scoping review of the literature published in 2015–2025 with a contemplative autoethnography. The scoping review (n = 39) maps the scholarly evidence of spiritual–ecological constructs, while the autoethnography provides a situated, analytical account of the first author’s professional and spiritual formation. Integration was achieved through a four-step thematic synthesis that explicitly identifies where first-person lived experience and third-person scholarly evidence converge to illuminate the process of ethical integration. Four convergent themes describe the pathways linking contemplative practice to planetary health: (1) embodied practice (somatic resilience); (2) narrative meaning-making (transforming grief into purpose); (3) interconnected ethics (reframing remote harms as proximate responsibilities); and (4) reflective integration (the reflexive weaving of clinical and spiritual identities). The findings reveal that while contemplative traditions offer robust resources for systems thinking and equity, nuclear harm and nursing perspectives remain significantly under-integrated in the current planetary health literature. Contemplative formation functions as the mediating mechanism that turns planetary threats into sustained professional advocacy. The Interbeing Planetary Health Framework provides a pragmatic guide for nursing ethics under existential risks.