Integration Of Resources Research Articles

Paths s to improve business resilience and risk coping strategies of African Chinese businessmen

In recent years, the number of Chinese businessmen in Africa has been growing. Restricted by objective factors such as Africa's development stage and business environment, this group is facing many risks such as political conflicts, investment risks and social security. Based on a field survey conducted in Wenzhou, Zhejiang Province, China, this study analyzes the practices of Wenzhou businessmen to enhance their business resilience by expanding ethnic economy, grafting business networks, non-transferable industries, and transnational resource integration. It is suggested that African Chinese businessmen should prevent and resolve business risks by taking measures such as industrial upland, operation localization, production localization, and employee localization. Promote China-Africa cooperation.

Research on the Application of Big Data and Cloud Computing Technology in Smart Campus

The current education field is experiencing an innovation driven by big data and cloud technologies, and these advanced technologies play a central role in the construction of smart campuses. Big data technology has a wide range of applications in student learning behavior analysis, teaching resource management, campus safety monitoring, and decision support, which improves the quality of education and management efficiency. Cloud computing technology supports the integration, distribution, and optimal use of educational resources through cloud resource sharing, virtual classrooms, intelligent campus management systems, and Infrastructure-as-a-Service (IaaS) models, which reduce costs and increase flexibility. This paper comprehensively discusses the practical application of big data and cloud computing technologies in smart campuses, showing how these technologies can contribute to the development of smart campuses, and laying the foundation for the future innovation of education models.

Design of an integrated network order system for main distribution network considering power dispatch efficiency

This study presents a comprehensive review of the primary distribution design of an advanced network control system, emphasizing its evolution from initial requirements to practical applications. The system solves complex problems of power management by combining real-time data analysis, intelligent decision making for resource allocation, rapid fault correction, remote monitoring and complex optimization methods, all aimed at ensuring stable and safe operation of the power grid. Its performance is geared towards fast response, efficient data processing and synchronous processing tasks, ensuring smooth operation even under heavy workloads. Security is enhanced through strict protocols, encryption methods, and controlled access systems. The system is divided into four layers-data collection, communication, decision-making and application management-using innovative tools such as Kalman filters and deep Q networks. The research showcases the integrated network command system’s prowess, achieving an average response time of 0.27 s, 98.5% dispatching accuracy, and 83.2% resource utilization, evidencing exceptional performance. It excels under various tests, including managing high loads with minimal accuracy loss, rapidly adapting to changes with a hydro model response time of 0.22 s, efficiently integrating renewables at 78.0% efficiency, and proving resilient in peak hours, affirming its capability to bolster grid efficiency, reliability, and integration of renewable energy resources. By outlining these specific achievements, this case study not only illustrates the complex design of the system, but also highlights its great potential for improving grid resilience and efficiency, attracting a wide audience interested in the future of energy management.

Model of competency development of professional group leaders (PGL) in higher vocational colleges in Fujian province

This study aims to take Chinese higher vocational colleges professional group leaders as the research subjects to analyze the components of their key competencies, develop the competency model of professional group leaders (PGL), and analyze the main factors influencing the model. It provides a powerful help for improving the scientific level of the construction and management of the teaching staff in higher vocational colleges and filling the gap in the research on the quality and ability of Chinese professional group leaders. A mixed research method is deployed in this study. Data are collected with the help of a self-administrated questionnaire and a semi-structured interview based on grounded theory. Data analysis involves structural equation modeling using AMOS, complemented by qualitative coding in NVivo. It concludes that the competency development model of professional group leaders comprises two main dimensions: explicit competencies and implicit competencies. Explicit competencies include cross-border adaptability (CBA), resource integration ability (RIA), innovation and development practice ability (IDPA), management leadership ability (MLA), and interdisciplinary scientific research ability (ISRA). Implicit competencies include personality attitude (PA), and intrinsic motivation (IM). The study fills a significant gap in the literature by providing a detailed model of competency for professional group leaders in the context of higher vocational education, offering a practical framework for improving the training and management of teaching staff and promoting the development of professional groups effective in vocational colleges.

Research on Impact Mechanism of Organizational Resilience on Sustainable Competitive Advantage of Enterprises

This study is the first to comprehensively investigate the impact mechanism of organizational resilience on the sustainable competitive advantage of enterprises based on dynamic capability theory, social network theory, and resource dependence theory. It systematically analyzes the multidimensional effects of organizational resilience and reveals the moderating effect of the network digital atmosphere and environmental dynamism on strategic capabilities. Herein, six basic hypotheses and 19 sub-hypotheses are proposed. Through the analyses of 386 valid questionnaires in the Yangtze River Delta and Pearl River Delta regions, the results show that organizational resilience has a positive impact on the sustainable competitive advantage of enterprises, and strategic capability plays a mediating role through two dimensions, which are strategic formulation capability and resource integration capability. In addition, the network digital atmosphere and environmental dynamics regulate the relationship between organizational resilience and strategic capability in different dimensions. The research results provide empirical support for strengthening corporate strategic capabilities, responding to environmental changes, maintaining competitive advantages, and achieving the sustainable development of enterprises.

Smart agriculture technology: An integrated framework of renewable energy resources, IoT-based energy management, and precision robotics

Modern agricultural practices encounter challenges related to operational efficiency and environmental effects. This prompts a demand for innovative solutions to foster sustainability in farming while emphasizing the limitations of conventional farming methods. To address these challenges in modern agriculture systems, this research proposes a comprehensive framework for smart farming. The proposed framework comprises of three technology integrations: 1) an efficient integration of renewable energy resources (RERs) with solar panels and battery energy storage systems (BESS), 2) an IoT-based environmental monitoring for precision irrigation, and 3) an android application-controlled precision robotic system for targeted chemical application. The proposed framework investigates a case study on Sharjah, United Arab Emirates (UAE) to explore and analyze optimal scenarios of multiple energy resources. Results demonstrate successful cross-prototype integration through the Blynk IoT platform providing users with a unified interface. Furthermore, the results provide a comprehensive analysis and investigation into the interactions between RERs and the grid across various combinations. The findings indicate the potential of this framework to revolutionize agriculture and thus offer a sustainable, efficient, and technologically advanced approach. It also represents the contribution of a complete solution to modern agricultural challenges presenting tangible results for a promising future in smart and sustainable farming practices.

Strategies of resource sharing in clonal plants: a conceptual model and an example of contrasting strategies in two closely related species.

Clonal growth is widespread among herbaceous plants, and helps them to cope with environmental heterogeneity through resource integration via connecting clonal organs. Such integration is considered to balance heterogeneity by translocation of resources from rich to poor patches. However, such an 'equalization' strategy is only one of several possible strategies. Under certain conditions, a strategy emphasizing acropetal movement and exploration of new areas or a strategy of accumulating resources in older ramets may be preferred. The optimal strategy may be determined by environmental conditions, such as resource availability and level of light competition. We aimed to summarize possible translocation strategies in a conceptual analysis and to examine translocation in two species from different habitats. Resource translocation was compared between two closely related species from different habitats with contrasting productivity. The study examined the bidirectional translocation of carbon and nitrogen in pairs of mother and daughter ramets grown under light heterogeneity (one ramet shaded) at two developmental stages using stable-isotope labelling. At the early developmental stage, both species translocated resources towards daughters and the translocation was modified by shading. Later, the species of low-productivity habitats, Fragaria viridis, translocated carbon to shaded ramets (both mother and daughter), according to the 'equalization' strategy. In contrast, the species of high-productivity habitats, Potentilla reptans, did not support shaded mother ramets. Nitrogen translocation remained mainly acropetal in both species. The two studied species exhibited different translocation strategies, which may be linked to the habitat conditions experienced by each species. The results indicate that we need to consider different possible strategies. We emphasize the importance of bidirectional tracing in translocation studies and the need for further studies to investigate the translocation patterns in species from contrasting habitats using a comparative approach.

DNN-Based Resource Recommendation for Ideology Theory Courses Online

Revamped IPE confronts static material constraints and outdated pedagogy, warranting integration of web resources and big data analytics for instructional innovation. Digital IPE adoption in vocational education optimizes online resource use, enhancing teaching effectiveness. Introducing CUPMF, a personalized learning model, we conduct empirical assessments on a large dataset (364,617+ entries) from Smart Classroom's cloud platform and public datasets, reflecting varied IPE scenarios. Comparative experiments against association rule, content-, tag-based, and collaborative filtering algorithms show CUPMF's superiority. It achieves a 11.61% F1 score boost over four alternatives for basic recommendations and outperforms Que Rec by 1.975%. Complexity-wise, CUPMF registers an 11.52% mean F1 score increment over four methods and 1.875% over Que Rec. Proven, CUPMF markedly improves IPE resource recommendation accuracy and efficacy, poised to transform personalized online vocational learning.

How do stakeholders co-create value in a service ecosystem? Insight from mega-events

PurposeThis paper looks at how stakeholders co-create value at mega-events from a service ecosystem perspective. Despite the growing interest, little is known about how value is co-created through such initiatives for individual stakeholders and the community.Design/methodology/approachDrawing on institutional and stakeholder theory, the study focuses on Cortina 2021, the World Ski Championships held in Italy in February 2021. It investigates how multiple actors co-create value within a service ecosystem through qualitative interviews with key stakeholders combined with the analysis of official documents and reports.FindingsThe research established that key stakeholders were willing to get involved with Cortina 2021 if they recognised the value which could be co-created. Such an ecosystem requires a focal organisation with a clear regulative and normative framework and a common cultural basis. The latter helped resilience in the extraordinary circumstances of Cortina 2021 and safeguarded long-term impacts, even though the expected short-term ones were compromised.Practical implicationsFrom a managerial point of view, the evidence from Cortina 2021 shows how a clear strategy with well-defined stakeholder engagement mechanisms can facilitate value co-creation in service ecosystems. Moreover, when regulative and normative elements are blurred because of an extraordinary circumstance, resource integration and value creation processes need to be entrusted to those cultural elements that characterise an ecosystem.Originality/valueThe study takes an ecosystemic approach to mega-events to explore value creation for the whole community at the macro level, not only at the individual or organisational level, even during a crisis, which greatly impaired the preparation and running of the event.

Gamification and problem-based learning (PBL): Development of creativity in the teaching-learning process of mathematics in university students

This study aims to determine whether the combination of techniques such as gamification along with problem-based learning (PBL) can significantly enhance the problem-solving abilities of university students and their academic performance compared to those who do not receive this educational approach. An experimental design was employed, incorporating the administration of tests, data collection, non-participant observation directed at teachers, and a survey administered to students. The study was conducted with 42 students in the treatment group and 37 students in the control group. As a result of the analysis, it was identified that the combination of gamification and PBL significantly improves the problem-solving capabilities of the treatment group, as well as the average grades. This suggests that these techniques can increase the engagement, motivation, and academic performance of university students in the context of mathematics. This holds significant implications for the design of educational programs and underscores the importance of integrating innovative approaches in teaching to foster holistic student development. It is recommended that educational programs and teachers consider the implementation of techniques that promote active student participation and the integration of technological resources to enhance the teaching and learning process of mathematics in university students.

Spatial integration for firm and load-following wind generation

Abstract Wind power has considerable potential to decarbonise electricity systems due to its low cost and wide availability. However, its variability is one factor limiting uptake. We propose a simple analytical framework to optimise the distribution of wind capacity across regions to achieve a maximally firm or load-following profile. We develop a novel dataset of simulated hourly wind capacity factors (CFs) with bias correction for 111 Chinese provinces, European countries and US states spanning ten years (∼10 million observations). This flexible framework allows for near-optimal analysis, integration of demand, and consideration of additional decision criteria without additional modelling. We find that spatial integration of wind resources optimising the distribution of capacities provides significant benefits in terms of higher CF or lower residual load and lower variability at sub-, quasi- and inter-continental levels. We employ the concept of firmness as achieving a reliable and certain generation profile and show that, in the best case, the intercontinental interconnection between China, Europe and the US could restrict wind CFs to within the range of 15%–40% for 99% of the time. Smaller configurations corresponding to existing electricity markets also provide more certain and reliable generation profiles than isolated individual regions.

Case Study on Obstacles and Implementation Paths of Shandong Energy's Green and Low-carbon Transformation

In the context of global climate change and environmental regulations, it is worth exploring in theory and practice how coal enterprises can achieve green and low-carbon transformation and maintain sustainable development. This article takes Shandong Energy in China as an example, analyzes the obstacles faced by Shandong Energy's green and low-carbon transformation, such as resource distribution, talent structure, industrial structure, and supporting policies. From the perspectives of mergers and acquisitions, industrial structure, resource reserves, intelligent mines, technological innovation, integration of industry and finance, and resource integration, it deeply analyzes and summarizes Shandong Energy's practical paths and beneficial experiences in green and low-carbon transformation and achieving sustainable development. The research results have been found that mergers and acquisitions, as well as resource integration, have broadened the temporal and spatial boundaries and opportunity set for the green and low-carbon transformation of coal enterprises; Technological innovation is the intrinsic driving force for the green and low-carbon transformation of coal enterprises, providing technical support for their sustainable development; Financial innovation provides fund support for the green and low-carbon transformation and sustainable development of coal enterprises. The research conclusions have important practical significance and theoretical marginal contributions, provides experience reference and theoretical guidance for the green and low-carbon transformation of the other coal industry enterprises.

Factors influencing the research impact in cancer research: a collaboration and knowledge network analysis

BackgroundCancer is a major public health challenge globally. However, little is known about the evolution patterns of cancer research communities and the influencing factors of their research capacity and impact, which is affected not only by the social networks established through research collaboration but also by the knowledge networks in which the research projects are embedded.MethodsThe focus of this study was narrowed to a specific topic – 'synthetic lethality’ – in cancer research. This field has seen vibrant growth and multidisciplinary collaboration in the past decade. Multi-level collaboration and knowledge networks were established and analysed on the basis of bibliometric data from ‘synthetic lethality’-related cancer research papers. Negative binomial regression analysis was further applied to explore how node attributes within these networks, along with other potential factors, affected paper citations, which are widely accepted as proxies for assessing research capacity and impact.ResultsOur study revealed that the synthetic lethality-based cancer research field is characterized by a knowledge network with high integration, alongside a collaboration network exhibiting some clustering. We found significant correlations between certain factors and citation counts. Specifically, a leading status within the nation-level international collaboration network and industry involvement were both found to be significantly related to higher citations. In the individual-level collaboration networks, lead authors’ degree centrality has an inverted U-shaped relationship with citations, while their structural holes exhibit a positive and significant effect. Within the knowledge network, however, only measures of structural holes have a positive and significant effect on the number of citations.ConclusionsTo enhance cancer research capacity and impact, non-leading countries should take measures to enhance their international collaboration status. For early career researchers, increasing the number of collaborators seems to be more effective. University–industry cooperation should also be encouraged, enhancing the integration of human resources, technology, funding, research platforms and medical resources. Insights gained through this study also provide recommendations to researchers or administrators in designing future research directions from a knowledge network perspective. Focusing on unique issues especially interdisciplinary fields will improve output and influence their research work.

BLEND: Probabilistic Cellular Deconvolution with Automated Reference Selection.

Cellular deconvolution aims to estimate cell type fractions from bulk transcriptomic and other omics data. Most existing deconvolution methods fail to account for the heterogeneity in cell type-specific (CTS) expression across bulk samples, ignore discrepancies between CTS expression in bulk and cell type reference data, and provide no guidance on cell type reference selection or integration. To address these issues, we introduce BLEND, a hierarchical Bayesian method that leverages multiple reference datasets. BLEND learns the most suitable references for each bulk sample by exploring the convex hulls of references and employs a "bag-of-words" representation for bulk count data for deconvolution. To speed up the computation, we provide an efficient EM algorithm for parameter estimation. Notably, BLEND requires no data transformation, normalization, cell type marker gene selection, or reference quality evaluation. Benchmarking studies on both simulated and real human brain data highlight BLEND's superior performance in various scenarios. The analysis of Alzheimer's disease data illustrates BLEND's application in real data and reference resource integration.

A Study on the Employment Support Service System for Visually Impaired College Students in China

At present, the problem of difficult employment for disabled college students in China is becoming more and more prominent, and the construction of an employment support service system for colleges and universities is one of the most important means of alleviating the employment pressure on disabled college students and promoting the healthy development of society. Based on the perspectives of visually impaired college students and colleges and universities, this study adopts qualitative research methods such as interview method and observation method, selects 10 visually impaired students from a college in China as the research object, and statistically analyses the raw data of the interviews with NVivo data analysis tools, and builds a college employment support service system with the core of education and training and support, employment guidance and consulting, social resources integration and enhancing social and enterprise inclusiveness. The service system is of great practical significance for promoting high-quality employment and better integration of visually impaired students into society, as well as creating a harmonious and inclusive employment support environment.

Categorical analysis of logic in conceptual modeling of subject areas for semantic integrity of information resources

Categorical analysis of logic in conceptual modeling of subject areas for semantic integrity of information resources

What is the critical impact of strategic alliances on innovation, product development, and organizational performance? Three studies in SMEs-An Indian context

ABSTRACT This study addresses the dynamic interaction of strategic alliances (SA) on innovation (IN), product development (PD) and organisational performance (OP) in the Indian small and medium enterprises sector. Three empirical studies (Study 1: N = 170; Study 2: N = 185; Study 3: N = 200) were conducted to test the impact of SA on IN, PD and OP. The questionnaire was distributed to the top- and middle-level managers in Indian SMEs. Furthermore, we applied regression and correlation analysis to explore the relationship between our study variables. The result of Study 1 indicates that there is a significant relationship between SA and IN. In addition, resource integration (RI) plays a significant mediator role between SA and IN. The result of Study 2 indicates that there is a positive impact of SA on PD. In contrast, knowledge sharing (KS) has an insignificant effect on the relationship between SA and PD. The result of Study 3 reveals that there is a positive impact of IN, sustainability (SU) and environmental factors (EF) on OP. This study provides a critical and practical contribution to SA by examining the impact of SA on the organisational performance development processes (IN, PD and OP).

Radioactive elements in wastewater and potable water: Sources, effects, and methods of analysis and removal.

Radioactive effluents, originating from nuclear power plants, medical-nuclear applications, and various extraction industries worldwide, present a significant and dangerous contamination challenge. The concentrations of radioactive substances in wastewater, surface water, and potable water vary widely depending on the source and location. For example, cesium-137 levels in wastewater from nuclear facilities can range from 0.1 to 10 Bq/L, while tritium concentrations in surface water near nuclear plants can reach up to 100 Bq/L. Regulatory guidelines, like the maximum contaminant level of 0.185 Bq/L for combined radium-226 and radium-228 in drinking water, are critical for ensuring safety and environmental protection. Specifically, in Fukushima, Japan, cesium-137 levels in surface water range from 0.1 to 10 Bq/L due to the nuclear accident. In contrast, regions with natural uranium deposits, like parts of the United States, have reported radium-226 concentrations in potable water up to 1 Bq/L. These variations highlight the necessity for focused monitoring and evaluation to protect water quality and community health. Among various methods, Gamma spectrometry and inductively coupled plasma mass spectrometry are precise for radionuclide quantification, scintillation detectors, and ion exchange, and adsorption techniques efficiently remove radioactive substances from water. This critical review examines the sources, adverse effects, and analysis and remediation strategies for various radioactive elements in wastewater. By thoroughly evaluating the origins and potential dangers associated with radioactive effluents, this report emphasizes the urgent need for rigorous monitoring and effective treatment practices to maintain the integrity of water resources and ecosystems. PRACTITIONER POINTS: Comprehensive analysis of the radioactive elements frequently found in wastewater and drinking water. Assess the negative effects of radioactive elements in water systems. Examine the treatment methods used to eliminate radioactive pollutants from water sources. Outline effective methods and tactics for addressing and controlling radioactive contamination occurrences. Analyze the latest advancements in technology, regulatory enhancements, and optimal methods to guarantee the safety of drinking water and the sustainable handling of radioactive substances in wastewater.

Collaborative learning-based inter-dependent task dispatching and co-location in an integrated edge computing system

Recently, several edge deployment types, such as on-premise edge clusters, Unmanned Aerial Vehicles (UAV)-attached edge devices, telecommunication base stations installed with edge clusters, etc., are being deployed to enable faster response time for latency-sensitive tasks. One fundamental problem is where and how to offload and schedule multi-dependent tasks so as to minimize their collective execution time and to achieve high resource utilization. Existing approaches randomly dispatch tasks naively to available edge nodes without considering the resource demands of tasks, inter-dependencies of tasks and edge resource availability. These approaches can result in the longer waiting time for tasks due to insufficient resource availability or dependency support, as well as provider lock-in. Therefore, we present EdgeColla, which is based on the integration of edge resources running across multi-edge deployments. EdgeColla leverages learning techniques to intelligently dispatch multi-dependent tasks, and a variant bin-packing optimization method to co-locate these tasks firmly on available nodes to optimally utilize them. Extensive experiments on real-world datasets from Alibaba on task dependencies show that our approach can achieve optimal performance than the baseline schemes.

A Medical Student-Led Multipronged Initiative to Close the Digital Divide in Outpatient Primary Care.

The coronavirus disease 2019 pandemic accelerated the use of telehealth. However, this also exacerbated health care disparities for vulnerable populations. This study aimed to explore the feasibility and effectiveness of a medical student-led initiative to identify and address gaps in patient access to digital health resources in adult primary care clinics at an academic safety-net hospital. Medical students used an online HIPAA-compliant resource directory to screen for digital needs, connect patients with resources, and track outcome metrics. Through a series of Plan-Do-Study-Act (PDSA) cycles, the program grew to offer services such as information and registration for subsidized internet and phone services via the Affordable Connectivity Program (ACP) and Lifeline, assistance setting up and utilizing MyChart (an online patient portal for access to electronic health records), orientation to telehealth applications, and connection to community-based digital literacy training. Between November 2021 and March 2023, the program received 608 assistance requests. The most successful intervention was MyChart help, resulting in 83% of those seeking assistance successfully signing up for MyChart accounts and 79% feeling comfortable navigating the portal. However, subsidized internet support, digital literacy training, and telehealth orientation had less favorable outcomes. The PDSA cycles highlighted numerous challenges such as inadequate patient outreach, time-consuming training, limited in-person support, and unequal language assistance. To overcome these barriers, the program evolved to utilize clinic space for outreach, increase flier distribution, standardize training, and enhance integration of multilingual resources. This study is, to the best of our knowledge, the first time a medical student-led initiative addresses the digital divide with a multipronged approach. We outline a system that can be implemented in other outpatient settings to increase patients' digital literacy and promote health equity, while also engaging students in important aspects of nonclinical patient care.