Collaborative Resource Research Articles

Building tourism SMEs' business resilience through adaptive capability, supply chain collaboration and strategic human resource

AbstractSmall‐ and medium‐sized enterprises (SMEs) play a significant role in the global economy, particularly, in tourism and hospitality. However, they face challenges due to their vulnerability to external disruptions. A research model was proposed to enhance SME resilience in tourism through supply chain collaboration, strategic human resource and adaptive capability. Drawing on Dynamic Capability Theory, a total of seven hypotheses were presented. The data collection were conducted in Malaysia. There were 210 SME owners/managers participated in the survey. Data were analysed using Smart PLS software version 4. Results suggest that addressing business collaboration and human resource development are critical factors in developing capabilities that foster business resilience in tourism SMEs. The study addresses the dearth of theoretical and practical research on tourism SMEs. While calling SMEs for more attention to developing resilient businesses, this study serves as insights for disaster planning to withstand potential future shocks.

Deciphering the Genomic Complexity of Acromesomelic Dysplasia Type Maroteaux: Insights from a Consanguineous Pakistani Family

Purpose: This study delves into the genetic basis of Acromesomelic Dysplasia (AMD), a rare skeletal disorder, particularly focusing on the Maroteaux type within a consanguineous Pakistani family. The purpose is to explore the genetic landscape beyond known mutations and understand the underlying causes of AMD.
 Methodology: A comprehensive approach was adopted, combining detailed clinical examinations with advanced genomic methodologies. Ethical clearance was obtained, and pedigree design facilitated the identification of affected individuals. Molecular techniques including DNA extraction and linkage analysis were conducted to investigate known AMD-related genes such as NPR2, BMPR1B, GDF5, GALNS, GLB1, and GHR. Whole-genome sequencing was emphasized despite financial constraints to uncover potential novel genetic loci associated with AMD.
 Findings: Despite exhaustive analysis, no mutations in known AMD-related genes were identified within the studied family. Linkage analysis did not correlate with any known genetic loci, suggesting the presence of unidentified genetic elements contributing to AMD. Autosomal recessive inheritance was confirmed through pedigree and molecular scrutiny, highlighting the complexity of AMD genetics.
 Unique Contribution to Theory, Policy and Practice: This research underscores the importance of employing advanced genomic strategies, such as whole-genome sequencing, in decoding rare genetic disorders like AMD. By revealing the limitations of current diagnostic approaches and advocating for collaborative efforts and resource pooling, this study contributes to the advancement of genetic counseling, therapeutic interventions, and precision medicine in rare genetic disorders.

Air-Ground Collaborative Resource Optimization in UAV Empowered Cell-Free Massive MIMO Systems

Air-Ground Collaborative Resource Optimization in UAV Empowered Cell-Free Massive MIMO Systems

Enhancing educational excellence: An analysis of teacher capacity building and its impact on instructional delivery in public secondary Schools in Kenya

This study investigates the relationship between teacher capacity building, instructional delivery, and effectiveness in public secondary schools. Utilizing the descriptive survey methodology, data were collected from 400 teachers in Embu and Tharaka-Nithi Counties, Kenya. A survey questionnaire was used for data collection, whereby the efficacy of instructional delivery was assessed through a Likert-scale survey consisting of 17 items. Demographic information highlighted the diverse composition of the teaching workforce, with varying age groups, educational qualifications, and work experience. The study explored teachers' participation in professional development programs, revealing substantial engagement in subject-specific training among other capacity building programs. Findings indicated high agreement among teachers on statements related to syllabus completion, assignment design aligned with objectives, and regular collaboration with colleagues. Some areas for potential improvement were identified, including the incorporation of student questions to guide lessons, ensuring adequate instructional materials, and integrating higher-order thinking strategies. Capacity building was found to have a significant influence on the effectiveness of teachers in instructional delivery, whereby teachers who had attended more courses obtained higher means scores in instructional delivery than those who had attended fewer or no courses. The study contributes to the understanding of teacher capacity development's impact on instructional practices and effectiveness. The findings underscore the importance of ongoing professional development tailored to teachers' needs, emphasizing collaborative strategies and resource provision. Policymakers, educational administrators, and teachers can leverage these insights to inform targeted interventions that enhance the overall quality of instruction in Kenyan public secondary schools.

From Theory to Practice: HRM Practices and Intellectual Capital in Fostering Innovation

In a rapidly changing business environment, organizational innovation and employee innovative work behavior are the basis for high organizational performance and long-term success. Against this background, the purpose of this study is to propose a conceptual model that links knowledge-based human resource management and intellectual capital and collaborative human resource management practices to innovative behavior at the level of the employee in the organizational context. Drawing on the existing literature and conceptual argument, the present study will argue for this strategic importance of workers’ innovative performance in promoting organizational success. Specifically, the study argues that adopting KHRM and CHRM practices are effective strategies that foster innovation within the organization. Furthermore, the research also reports the critical importance of intellectual capital in driving innovative work behavior. Intellectual capital acts as a mediator between HRM practices and innovative work behavior. The study's theoretical framework and conceptual propositions provide valuable insights into understanding and promoting innovation inside organizations. Additional investigation into these connections would provide pragmatic advice for HRM experts and organizational leaders who want to cultivate creativity and drive achievement within their organizations.

Macaque Brainnetome Atlas: A multifaceted brain map with parcellation, connection, and histology

The rhesus macaque (Macaca mulatta) is a crucial experimental animal that shares many genetic, brain organizational, and behavioral characteristics with humans. A macaque brain atlas is fundamental to biomedical and evolutionary research. However, even though connectivity is vital for understanding brain functions, a connectivity-based whole-brain atlas of the macaque has not previously been made. In this study, we created a new whole-brain map, the Macaque Brainnetome Atlas (MacBNA), based on the anatomical connectivity profiles provided by high angular and spatial resolution ex vivo diffusion MRI data. The new atlas consists of 248 cortical and 56 subcortical regions as well as their structural and functional connections. The parcellation and the diffusion-based tractography were evaluated with invasive neuronal-tracing and Nissl-stained images. As a demonstrative application, the structural connectivity divergence between macaque and human brains was mapped using the Brainnetome atlases of those two species to uncover the genetic underpinnings of the evolutionary changes in brain structure. The resulting resource includes: (1) the thoroughly delineated Macaque Brainnetome Atlas (MacBNA), (2) regional connectivity profiles, (3) the postmortem high-resolution macaque diffusion and T2-weighted MRI dataset (Brainnetome-8), and (4) multi-contrast MRI, neuronal-tracing, and histological images collected from a single macaque. MacBNA can serve as a common reference frame for mapping multifaceted features across modalities and spatial scales and for integrative investigation and characterization of brain organization and function. Therefore, it will enrich the collaborative resource platform for nonhuman primates and facilitate translational and comparative neuroscience research.

The Swedish initiative for the study of Primary sclerosing cholangitis (SUPRIM)

Despite more than 50 years of research and parallel improvements in hepatology and oncology, there is still today neither a treatment to prevent disease progression in primary sclerosing cholangitis (PSC), nor reliable early diagnostic tools for the associated hepatobiliary cancers. Importantly, the limited understanding of the underlying biological mechanisms in PSC and its natural history not only affects the identification of new drug targets but implies a lack of surrogate markers that hampers the design of clinical trials and the evaluation of drug efficacy. The lack of easy access to large representative well-characterised prospective resources is an important contributing factor to the current situation. We here present the SUPRIM cohort, a national multicentre prospective longitudinal study of unselected PSC patients capturing the representative diversity of PSC phenotypes. We describe the 10-year effort of inclusion and follow-up, an intermediate analysis report including original results, and the associated research resource. All included patients gave written informed consent (recruitment: November 2011-April 2016). Out of 512 included patients, 452 patients completed the five-year follow-up without endpoint outcomes. Liver transplantation was performed in 54 patients (10%) and hepatobiliary malignancy was diagnosed in 15 patients (3%). We draw a comprehensive landscape of the multidimensional clinical and biological heterogeneity of PSC illustrating the diversity of PSC phenotypes. Performances of available predictive scores are compared and perspectives on the continuation of the SUPRIM cohort are provided. We envision the SUPRIM cohort as an open-access collaborative resource to accelerate the generation of new knowledge and independent validations of promising ones with the aim to uncover reliable diagnostics, prognostic tools, surrogate markers, and new treatment targets by2040. This work was supported by the Swedish Cancer Society, Stockholm County Council, and the Cancer Research Funds of Radiumhemmet.

Mobilizing institutional capacities to adapt to climate change: local government collaboration networks for risk management in Mexico City

State-centered and hierarchical government strategies based on technocratic top-down approaches have proved inadequate to address multiple interacting and cross-scale risks. In contrast, multilevel governance (MLG) provides a form of governance by networks that operate both in a horizontal arena with neighboring local governments, civil society organizations, and local communities, and in vertical settings, with higher-level governmental authorities and international organizations. In this paper, we examined the role and experience of local governments in a multilevel governance system for risk management in Mexico City. We sought to understand what collaborative resources local governments have to address multiple risks in Mexico City? How do they mobilize these resources in specific actions to address a risk, and how do they interact with different levels on diverse organizational scales? Our results show that resources for vertical and horizontal collaboration were key for local governments for coordination to address multiple risks. We found that collaboration was more common between local governments and with the subnational government. Also, the most common actions focused on forecasting and prevention, as well as preparedness and relief of multiple risks. We found evidence of successful elements of multilevel governance and identified the need for further research on the engagement and representation for non-governmental organizations and private actors in networks of risk management. The results from this study provide a better understanding of the arrangement of collaborative resources underlying local government actions under a state of urgency and scarcity, where action cannot wait for institutional change.

Cybersecurity In The Digital Age: Developing Robust Strategies To Protect Against Evolving Global Digital Threats And Cyber Attacks

In today's digital era, cyber security is a growing challenge, considering increasingly sophisticated cyber attacks and increasing global digital threats. These threats not only pose risks to individual privacy but also to the security of critical infrastructure and the country's economic interests. The need to develop a robust and adaptive cybersecurity strategy is critical to protecting digital assets and maintaining information security. This research aims to analyze the global cyber threat landscape and develop effective cyber security strategies to counter evolving digital threats. The method used is a descriptive qualitative approach by collecting and analyzing data from relevant previous studies. The results of the research show that an effective cybersecurity strategy requires an adaptive and innovative approach, utilizing the latest technology and cross-sector collaboration. The importance of international collaboration and human resource development in the field of cyber security was emphasized as a key factor in building stronger defenses against cyber attacks. Analysis of global cyber threats and their threat actors provides insight into the importance of cybersecurity education and awareness at all levels of organizations and society. The security strategy developed must be able to adapt to changes in technology and attack tactics to ensure effective protection. Cross-sector collaboration and the development of a strong cybersecurity ecosystem are the foundations for facing future cybersecurity challenges.

Collaborative scheduling method of power grid energy side based on carbon verification data mining algorithm

In the process of the collaborative scheduling of the grid energy-consuming side, the voltage value is low, and the utilization rate of collaborative scheduling resources of the grid energy-consuming side is poor. Therefore, a collaborative scheduling method for the grid energy-consuming side based on a carbon verification data mining algorithm is proposed. Based on the structure of the data management system, the related data structure lookup formula is set to determine the collaborative scheduling task data of the power grid energy side. Under the carbon verification data mining algorithm, the power grid topology structure is constructed, the scheduling target parameters are processed, and the coordinated scheduling of the power grid energy side is realized. The experimental results show that this method can effectively improve the voltage value of each node, and the voltage value of all nodes can reach above the qualified value and improve the utilization rate and energy-saving performance, which has a certain effectiveness.

Future Trends of Wushu and Education Process for Sport University China

Background and Aim: Under the auspices of the 19th National Congress of the Communist Party of China and an array of state policies, this research aims to scrutinize the role of Wushu culture within the national development strategy of the new era. These policies include the "Five-Year Plan for Chinese Wushu Development," "Opinions on Implementing the Inheritance and Development Project of Excellent Traditional Chinese Culture," and "Outline for the Construction of a Sports Power" Amidst the strong emphasis by General Secretary Xi Jinping on cultural construction and the promotion of traditional culture, this research elaborates on the pivotal role sport university China serves in the exploration and dissemination of Wushu culture. The central objective of this study is to undertake an in-depth exploration of the historical evolution of Chinese Wushu culture and to critically examine its current state and potential future trajectories within the milieu of Chinese sports universities. The study aims to provide valuable insights for education policy-makers, practitioners, and researchers and is expected to make a substantial academic contribution to the discourse on Wushu culture and its pedagogy. Materials and Methods: The research methods combined quantitative and qualitative means with mixed methods. To collect the data, a literature review, expert interviews, and questionnaires were used in this study. In addition, the views and suggestions of 19 experts on the future development of the wushu culture curriculum were collected through the Ethnographic Delphi Futures Research method. Use descriptive statistics to analyze the data (average, standard deviation) collected by mixing methods; in addition to quantitative analysis, we will also qualify the data collected from expert interviews and open questionnaires. Results Experts affirm the importance of enhancing traditional cultural education, emphasizing the central role of the concepts of physical and mental health and wellness in wushu instruction. They believe that employing modern educational technology and utilizing a combination of online and offline teaching methods allow students to gain a deeper understanding and mastery of wushu course content. Interdisciplinary collaboration is seen as a new trend in the future of wushu education. It is advocated to actively explore new resource allocation models such as public-private partnerships and cross-sector collaborations, leveraging resources from various sectors of society to collectively advance the development of wushu education. Suggest: Establish specialized courses focusing on wushu culture: Innovate and expand course content: Employ diversified instructional designs: Develop a scientifically sound and rational course evaluation mechanism: Prioritize the transmission of wushu philosophy and culture: Promote the integration of wushu with other academic disciplines: Strengthen the internationalization of wushu education and promotion. Conclusion: Enhancing traditional wushu education involves the creation of specialized courses, diversified instructional methods, and a strong emphasis on wushu culture and philosophy. Collaborative resource allocation and internationalization efforts further contribute to the continued development and promotion of this ancient martial art.

CAMELS‐SE: Long‐term hydroclimatic observations (1961–2020) across 50 catchments in Sweden as a resource for modelling, education, and collaboration

AbstractThis paper introduces a community‐accessible dataset comprising daily hydroclimatic variables (precipitation, temperature, and streamflow) observed in 50 catchments in Sweden (median size of 1019 km2). The dataset covers a 60‐year period (1961–2020) and includes information on geographical location, landcover, soil classes, hydrologic signatures, and regulation for each catchment. Data were collected from various sources, such as the Swedish Meteorological and Hydrological Institute, the Swedish Geological Survey, and several Copernicus products provided by the European Environment Agency. The compiled, spatially‐matched, and processed data are publicly available online through the Swedish National Data Service (https://snd.se/en), contributing a new region to the collection of existing CAMELS (Catchment Attributes and Meteorology for Large‐sample Studies) datasets. The CAMELS‐SE dataset spans a wide range of hydroclimatic, topographic, and environmental catchment properties, making it a valuable resource for researchers and practitioners to study hydrological processes, climate dynamics, environmental impacts, and sustainable water management strategies in Nordic regions.

Librarians’ views of the readiness of university libraries in Indonesia to adopt virtual and augmented reality

PurposeThis study aims to determine the extent of virtual reality (VR)/augmented reality (AR) adoption in university libraries in Indonesia and identify librarians’ views of library readiness. The assessment centers on two crucial dimensions: library readiness, gauged by commitment and efficacy, and librarian readiness, appraised through cognitive and affective aspects.Design/methodology/approachThe research features a survey-based quantitative method. A sample of 259 librarians from university libraries, all members of the Indonesian Higher Education Library Forum, responded to the online survey.FindingsIndonesian university libraries, especially in Central Java, express strong interest in VR/AR despite low current adoption. Librarians believe in their commitment and efficacy for adoption, with improvements needed in budget procurement and human resources. Librarians are optimistic about innovating academic activities with VR/AR, despite concerns about collaboration, data governance and human resource insecurity. The research underscores the simultaneous influence of librarians’ and libraries’ readiness on VR/AR adoption, emphasizing their interconnectedness and mutual support within library management.Practical implicationsThere are practical implications for library institutions in Indonesia in terms of understanding the attendant opportunities and challenges when preparing organizational ecosystems. These findings provide a broad overview of VR/AR adoption in university libraries in Indonesia and contribute to understanding the specific needs and interests of universities in Indonesia considering adopting VR/AR. In addition to preparing adequate infrastructure, libraries should ensure the availability of adequate human resources.Originality/valueIn the Indonesian context, this study, to the best of the authors’ knowledge, makes the first attempt to examine the librarian’s view as part of library management to face the dilemmas that may arise during the adoption of VR/AR despite university libraries’ commitment and efficacy to enable this technology. This research also identifies librarians’ cognitive and affective readiness as individual characteristics and resources able to influence adequate adoption.

Advancing South-South cooperation in education: Indonesian experience with South Africa

Education collaboration is important to increase the quality of human capital. South-South cooperation is conducted to exchange resources, technology, skills, and knowledge between southern countries. The purpose of this research is to investigate the collaboration between Indonesia and South Africa toward advancing South-South Cooperation in education. The data collection used in this qualitative research is an interview and literature study with 9 purposive informants from the Indonesian Ministry of Foreign Affairs, the Indonesia Ministry of Education and Culture, and the Embassy of South Africa. The data were obtained within six months. The interview was primarily used to explore the roles and practices of government institutions and universities in fostering education collaboration and human resources development. In this study, the South-South Cooperation helps Indonesia address its educational needs. The result showed that most international education cooperation between both countries is agreed upon at the University-to-University level through a Memorandum of Understanding (MoU), facing less sustainable challenges and low impact. Therefore, an investment-led model, multi-stakeholder collaboration, and a tool to monitor and evaluate this process are needed to improve South-South Cooperation to achieve its goals.

Striking gold: navigating the education massification maze for work readiness

PurposeThis study investigates the impact of large-scale teaching in higher education on students’ preparedness for the workforce within the context of evolving labour market demands, the expansion of higher education and the application of high-impact teaching strategies. It synthesizes perspectives on employer work readiness, the challenges and opportunities of large-scale teaching and strategies for fostering a dynamic academia-industry feedback loop. This multifaceted approach ensures the relevance of curricula and graduates’ preparedness while addressing the skills gap through practical recommendations for aligning teaching methodologies with employer expectations.Design/methodology/approachThe research methodically examines the multifaceted challenges and opportunities inherent in large-scale teaching. It focuses on sustaining student engagement, maintaining educational quality, personalizing learning experiences and cultivating essential soft skills in extensive student cohorts.FindingsThis study highlights the critical role of transversal skills in work readiness. It also uncovers that despite its challenges, large-scale teaching presents unique opportunities. The diversity of large student groups mirrors modern workplace complexities, and technological tools aid in personalizing learning experiences. Approaches like peer networking, innovative teaching methods, real-world simulations and collaborative resource utilization enrich education. The importance of experiential learning for augmenting large-scale teaching in honing soft skills is emphasized.Originality/valueThis manuscript contributes to the discourse on large-scale teaching, aligning it with employer expectations and the dynamic requirements of the job market. It offers a nuanced perspective on the challenges and opportunities this educational approach presents, providing insights for crafting engaging and effective learning experiences in large cohorts. The study uniquely integrates experiential learning, co-creation in education and industry-academia feedback loops, underscoring their importance in enhancing student work readiness in large-scale teaching.

Multi-Compression Scale DNN Inference Acceleration based on Cloud-Edge-End Collaboration

Edge intelligence has emerged as a promising paradigm to accelerate DNN inference by model partitioning, which is particularly useful for intelligent scenarios that demand high accuracy and low latency. However, the dynamic nature of the edge environment and the diversity of end devices pose a significant challenge for DNN model partitioning strategies. Meanwhile, limited resources of the edge server make it difficult to manage resource allocation efficiently among multiple devices. In addition, most of the existing studies disregard the different service requirements of the DNN inference tasks, such as its high accuracy-sensitive or high latency-sensitive. To address these challenges, we propose a Multi-Compression Scale DNN Inference Acceleration (MCIA) based on cloud-edge-end collaboration. We model this problem as a mixed-integer multi-dimensional optimization problem, jointly optimizing the DNN model version choice, the partitioning choice, and the allocation of computational and bandwidth resources to maximize the tradeoff between inference accuracy and latency depending on the property of the tasks. Initially, we train multiple versions of DNN inference models with different compression scales in the cloud, and deploy them to end devices and edge server. Next, a deep reinforcement learning-based algorithm is developed for joint decision making of adaptive collaborative inference and resource allocation based on the current multi-compression scale models and the task property. Experimental results show that MCIA can adapt to heterogeneous devices and dynamic networks, and has superior performance compared with other methods.

Collaborative resource allocation-based differential evolution for solving numerical optimization problems

Differential evolution (DE) is an efficient and powerful population-based search algorithm for solving numerical optimization problems in continuous spaces. It has been proven that multi-strategy DE algorithms are more effective than single-strategy DE algorithms in addressing benchmark and real-world problems. However, most multi-strategy DE variants focus on maintaining population diversity and balancing exploitation and exploration, ignoring the dynamic allocation of computational resources. Moreover, the success of these algorithms often depends on additional designed techniques, leading to increased computational complexity. In this paper, the Collaborative Resource Allocation-based Differential Evolution (CRADE) is introduced. It involves a collaborative resource allocation mechanism that utilizes the historical performance ranking of three mutation strategies to automatically allocate computational resources to various subpopulations during the search process. The parameter adaptation technique is used to adjust the associated control parameters of different mutation strategies. As a result, the most efficient mutation strategy consumes the majority of computational resources at different search stages to mitigate inefficient search under constrained resources. The performance of CRADE is evaluated on the well-known CEC2013 benchmark function set. The paper also investigates its application in the parameter identification of photovoltaic solar cells and modules. The overall results show that CRADE exhibits superior and competitive performance compared to other state-of-the-art algorithms. Consequently, CRADE has emerged as a novel and effective approach for addressing numerical optimization problems, distinguished by its excellence, practicality, and unwavering reliability.

An offloading method in new energy recharging based on GT-DQN

The utilization of green edge has emerged as a promising paradigm for the development of new energy vehicle (NEV). Nevertheless, the recharging of these vehicles poses a significant challenge in due to limited power resources and enormous transmission demands. A novel architecture based on Wifi-6 communication is proposed, which makes the most of heterogeneous edge nodes to achieve real-time processing and computation of tasks. To address the collaborative power resource optimization problem, the interference between different vehicles is considered, and the task offloading is optimized. In particular, the power contention among recharging clusters is modeled as an exact game and a task offloading strategy model is proposed jointly with the Deep Q-Network (DQN) algorithm, which is employed by a secondary application. Thereby, the recharging efficiency and task offloading computation are optimized and improved. Results indicate that the total resource consumption is favorably improved with this architecture and algorithm and the Nash equilibrium is also demonstrated.

Find a Research Collaborator: An Ontology-Based Solution to Find the Right Resources for Research Collaboration

Find a Research Collaborator: An Ontology-Based Solution to Find the Right Resources for Research Collaboration

Collaborative Transmission and Resource Management in IRS-Aided Wireless-Powered Mobile Edge Computing Systems

Collaborative Transmission and Resource Management in IRS-Aided Wireless-Powered Mobile Edge Computing Systems