Effective Resource Utilization Research Articles

Exploration of Problems and Key Points in Database Design in Software Development

Starting from the necessity and principles of database design, this article explores the optimization issues. Firstly, analyze the necessity of database design, elaborating on effective management, maintainability, resource utilization, and running speed; Then, a series of issues in database management were discussed, such as user management, data object design specifications, and overall design ideas; Finally, the optimization issues such as normalization rules, inter table redundancy handling, query optimization, indexing, and transactions were elaborated in detail. In the software development lifecycle, database design is indispensable. Its role is not only to ensure the safety and reliability of data, but also to ensure the overall stability and speed of the system. Strengthening the rationality and optimization of design is the key to improving software quality.

CONTROL OF THE EFFECTIVENESS OF MANAGEMENT OF ASSETS OF HIGHER EDUCATION INSTITUTIONS

A key part of the discussion is the analysis of Tashkent State University of Economics. This case study exemplifies the impact of methodical financial results management on the universitys asset status. It illustrates that the strategic organization of financial outcomes can significantly alter the property holdings and financial standing of an institution.Furthermore, the article underscores the necessity of effective financial resource management and utilization. It posits that adept handling of these resources is instrumental in enhancing the performance of various activities within the institution. The correlation between judicious financial resource management and the overall operational success of higher education institutions is a central theme.This shift towards financial autonomy in higher education is not without its challenges. The paper explores these challenges, offering insights into how institutions can navigate this new financial landscape. It proposes that adopting innovative management strategies can lead to more efficient and effective use of financial resources, thereby improving institutional outcomes.

Electric Vehicle Battery State of Charge and Charging Station Distance Estimation Using IoT

Background: The global transition to green energy and the rapid development of Electric Vehicle (EV) technology, along with falling component costs, have fueled the growing popularity of electric vehicles. To support the widespread adoption of EVs, an efficient and userfriendly charging infrastructure is crucial. Objective: This work aims to propose a comprehensive EV charging system that addresses the rising demand for charging stations, streamlines the charging process, and empowers EV drivers with essential information. The primary focus is on an economical and effective booking system, enabling users to locate nearby charging stations and make informed choices about their charging preferences. Method: We suggest developing a EVs Charging Finder App, serving as a central platform for EV users to find nearby charging stations. The app will provide vital details, including ratings, reviews, available time slots, charging duration estimates, and more. Users can also contribute new charging station data, fostering app growth. Additionally, an alert system will notify users when nearby charging slots become available, enhancing convenience for EV drivers. Results: The EVs Charging Finder App is anticipated to significantly enhance the accessibility and convenience of EV charging. Users can effortlessly locate charging stations, assess quality through reviews and ratings, and plan charging sessions based on real-time availability. The battery voltage of 45.2 V is a critical parameter for monitoring the health and performance of the battery, influencing the accuracy of state of charge (SoC) estimations and potentially impacting the efficiency of the electric vehicle. The 47.7 km driven is a key factor in assessing energy consumption and vehicle efficiency, which can affect the remaining state of charge in the battery. The battery's state of charge (SOC) is at 85%, indicating a relatively high charge level. Knowing that the charging station is available is crucial for planning charging activities, allowing users to proceed without concerns about station availability. The booking time at 10:00 AM is essential for efficiently managing charging infrastructure, especially in scenarios with high demand for charging services. These data points collectively contribute to optimizing the charging experience and ensuring the effective utilization of electric vehicle resources. Conclusion: The proposed EVs Charging Finder App offers a practical and efficient solution to address the surging demand for charging stations. By providing comprehensive information and real-time alerts, this system aims to make EV charging more accessible, user-friendly, and environmentally sustainable.

Comparisons of assessment pathways after abnormal mammography screening in Denmark, Norway, and Spain

PurposeTo ensure high-quality screening programmes and effective utilization of resources, it is important to monitor how cancer detection is affected by different strategies performed at recall assessment. This study aimed to describe procedures performed at recall assessment and compare and evaluate the performance of the assessment in Denmark, Norway, and Spain in terms of screen-detected cancer (SDC) and interval cancer (IC) rates.MethodsWe included women aged 50–69 years from Denmark, Norway, and Spain, who were recalled for assessment after screening mammography, and recorded all procedures performed during six months after diagnosis, and the timing of the procedures. Women were followed for two years and screen-detected and interval cancer, and sensitivity of recall was calculated and compared.ResultsIn total, data from 24,645 Danish, 30,050 Norwegian, and 41,809 Spanish women were included in the study. Most of the women had some assessment within 2 months in all three countries. SDC rates were higher in Denmark (0.57) and Norway (0.60) compared to Spain (0.38), as were the IC rates, i.e. 0.25 and 0.18 vs. 0.12, respectively. The sensitivity of the diagnostic follow-up was somewhat higher in Denmark (98.3%) and Norway (98.2%), compared to Spain (95.4%), but when excluding non-invasive assessment pathways, the sensitivities were comparable.ConclusionThis comparison study showed variation in the assessment procedures used in the three countries as well as the SDC and IC rates and the sensitivity of recall.

A PROPOSAL FOR APPLYING THE KAIZEN METHOD IN YOUTH AND PROFESSIONAL SPORTS

The purpose of this study is to examine the prevalence and applicability of the Kaizen approach in sports. Because it is a widespread phenomenon with great social and cultural significance, sport is prone to highly dynamic, discontinuous, non-linear, and uncertain changes. Major changes (kawar)[1] that affect sport as a social and economically important activity in today’s unstable environment pose risks to both the management and the player. The idea behind using the Kaizen approach in sports and the sports industry is to encourage individual participation and continual improvement through a clear and detailed procedure that is tailored to the genuine requirements of every professional athlete. Globalization and socio-technological advancements have had a significant impact on sports and sports activities, and success is now solely determined by monetary value. The Kaizen method can improve the efficiency of every individual, every athlete, and even sports organizations. As a team, the management of the sports organization can accomplish the goals set before itself more quickly with the application of the appropriate Kaizen method, with the quality setting of the operational and logistics management, with gradual and continuous improvement of the makeup and organization of its operations. It is acknowledged that spreading the Kaizen method outside of its country of origin is a powerful tool that aims at the rationalization and effective utilization of all available resources. The goal of the Kaizen technique is constant improvement, which eliminates all unrealistic factors that influence how sports values, such as results, are achieved.
 
 
 
 

Enhancing labor productivity as a key strategy for fostering green economic growth and resource efficiency

Amidst a time when uncontrolled economic growth has frequently harmed the environment, it is crucial to reassess our strategy toward economic progress. The necessity to tackle climate change, resource depletion, and environmental deterioration demands a profound transition towards ecologically sound and sustainable economic development. This study examines the crucial significance of labor productivity in promoting sustainable economic growth and the effective utilization of resources in Asia, Europe, and South America from 1990 to 2020. To accomplish this, we utilized the Data Envelopment Analysis (DEA) methodology to examine a range of input and output characteristics thoroughly. These parameters included labor productivity, renewable energy usage, material efficiency, Green GDP, carbon footprint, and water footprint. The results of our study demonstrate significant regional variations in the efficient utilization of labor and resources to promote sustainable economic development. The findings of the DEA model emphasize that countries with higher labor productivity are more capable of pursuing an environmentally benign and sustainable financial path. Moreover, our research demonstrates a substantial association between enhanced labor productivity and diminished carbon and water footprints. This highlights the importance of labor productivity as a fundamental element for maximizing resource efficiency. In addition, we propose policy suggestions that motivate and improve worker efficiency as a practical strategy to accomplish both economic growth and environmental sustainability.

TCGAnalyzeR: An Online Pan-Cancer Tool for Integrative Visualization of Molecular and Clinical Data of Cancer Patients for Cohort and Associated Gene Discovery.

For humans, the parallel processing capability of visual recognition allows for faster comprehension of complex scenes and patterns. This is essential, especially for clinicians interpreting big data for whom the visualization tools play an even more vital role in transforming raw big data into clinical decision making by managing the inherent complexity and monitoring patterns interactively in real time. The Cancer Genome Atlas (TCGA) database's size and data variety challenge the effective utilization of this valuable resource by clinicians and biologists. We re-analyzed the five molecular data types, i.e., mutation, transcriptome profile, copy number variation, miRNA, and methylation data, of ~11,000 cancer patients with all 33 cancer types and integrated the existing TCGA patient cohorts from the literature into a free and efficient web application: TCGAnalyzeR. TCGAnalyzeR provides an integrative visualization of pre-analyzed TCGA data with several novel modules: (i) simple nucleotide variations with driver prediction; (ii) recurrent copy number alterations; (iii) differential expression in tumor versus normal, with pathway and the survival analysis; (iv) TCGA clinical data including metastasis and survival analysis; (v) external subcohorts from the literature, curatedTCGAData, and BiocOncoTK R packages; (vi) internal patient clusters determined using an iClusterPlus R package or signature-based expression analysis of five molecular data types. TCGAnalyzeR integrated the multi-omics, pan-cancer TCGA with ~120 subcohorts from the literature along with clipboard panels, thus allowing users to create their own subcohorts, compare against existing external subcohorts (MSI, Immune, PAM50, Triple Negative, IDH1, miRNA, metastasis, etc.) along with our internal patient clusters, and visualize cohort-centric or gene-centric results interactively using TCGAnalyzeR.

MULTI-OBJECTIVE OPTIMIZATION BASED DISTRIBUTED TASK OFFLOADING IN FOG COMPUTING

Due to an increasing number of IoT devices, a massive amount of data is generating daily. Initially, Cloud-centric Internet of Things (CIoT) based architecture is used for data processing, storage, and analysis. But it is difficult for the CIoT to handle the huge amount of data produced by these devices. Furthermore, cloud data centers are far away from IoT devices so transmitting data to the cloud will result in more bandwidth consumption, cost, and latency issues that’s why cloud computing is not suitable for real-time applications. To overcome these problems the concept of fog computing is introduced that extends cloud computing by moving the facilities to the edge of the network. Fog computing provides low latency, real-time processing near the edge of the network. Fog computing contains heterogeneous and intrinsically resource-constrained devices. Due to resource-constrained devices at the edge of the network resource management is a necessary issue to efficiently distribute resources and move some tasks to the other entity for execution to balance the load it’s called offloading. Different techniques of task offloading are used in fog computing that’s main purpose is to maximize and effective resource utilization, minimizing latency, cost, and energy consumption. This research is concerned with the design and implementation of a multi-objective optimization-based distributed task offloading algorithm in which we will optimize more than two objectives simultaneously like optimization of performance and resource utilization metrics.

Deadline‐cost aware task scheduling algorithm in fog computing networks

SummaryThe Internet of Things (IoT) has provided us with various applications that need processing in real‐time. Fog computing has arisen as a highly effective computing paradigm that provides services closer to the IoT devices and hence fulfills the need for rapid response time and delay requirements of IoT applications. However, the heterogeneity of IoT tasks and the limited resources of fog nodes pose considerable challenges to task scheduling. Therefore, the effective utilization of fog resources is highly significant and necessitates an optimal and intelligent approach to task scheduling. This paper presents the “deadline‐cost aware task scheduling” (DCaTS) algorithm, which is designed for fog‐based IoT applications. The primary objective of this algorithm is to minimize the monetary cost while taking into account the deadline requirements and priority of tasks. The efficacy of DCaTS is assessed by analyzing various parameters, including completion time, monetary cost, response time, and waiting time. The experimental results show that in comparison with traditional policies, the proposed algorithm shows superiority in all the parameters. The proposed algorithm reduces the monetary cost up to 11.07% compared with the second best result. The results also indicate that DCaTS achieves a reduction of 10.05% in completion time, 10% in response time, and 10.12% in waiting time compared with the second best result.

Exploring genetic diversity of Centella asiatica (L.) Urb. across six Korean island regions: implications for conservation and utilization

AbstractDespite the increasing demand for diverse Centella asiatica (L.) Urb. species in Korea, studies on related topics are limited, with the majority of studies focusing on functional evaluations, rather than genetic diversity. Therefore, in this study, we explored the genetic diversity of C. asiatica, a valuable medicinal plant collected from six island regions in Korea, using genotyping-by-sequencing analysis. Specifically, we aimed to understand plant genetic variations, population structure and the potential for conservation and genetic improvement. The results indicated relatively high genetic diversity among the samples collected from the six island regions but low genetic differentiation among their populations. Two distinct genetic clusters were identified; however, even within these clusters, genetic differentiation was minimal. The lack of significant isolation-by-distance patterns and evidence of potential clonal spread suggested that some individuals that adapted to colder Korean conditions achieved dominance. This study highlights the importance of assessing the genetic diversity of native C. asiatica in Korea and explores the possibility of conducting follow-up studies to understand the phytochemical content and bioactivity variations among the individuals. This information can aid in the selection of superior resources and effective utilization of plant genetic resources for cultivar development and other applications.

TRU utilization and MA transmutation in thorium-based fluorinated molten salt fast reactor

In this paper, a thorium-based fluorinated molten salt fast neutron reactor is taken as the research object, and the utilization of thorium resources, reuse of transuranic waste (TRU), and transmutation of minor actinide (MA) in fast reactor are the research purpose. The fast reactor adopts a multi-layer core structure, in which the fuel is divided into an inner fission fuel zone and an outer breeding fuel layer, respectively loaded with fluorinated molten salts LiF+ThF4+XF4 (where X is 233U, TRU, or 233U+MA) and LiF+ThF4. In addition to serving as nuclear fuel, these two molten salts also act as coolants in the primary circuits.Through the cross sections of nuclear reactions, transmutation chain of actinide nuclides, and the particle population density formula of actinide nuclides in nuclear reaction equilibrium, the possible nuclear reactions of actinide nuclides in thorium-based fast reactors are analyzed. The calculated results show that the thorium-based fast reactor has the following characteristics: fast neutron energy spectrum, negative temperature reactivity coefficient, effective utilization of thorium resources, the ability to breed fissle fuel such as 233U, production of high-purity radioisotope 238Pu material, and the ability to incinerate Pu and MAs in the TRU spent fuel.In the 233U fuel scheme, the 233U fuel is breeded, breeding ratio of fissile fuels is 1.21, the reaction products contain very little Np, and almost no Pu, Am, and Cm long-lived radionuclides. In the TRU fuel scheme, the annual capacity to incinerate MAs and Pu is 1072.6 kg, while producing a large amount of 233U and 233Pa fuel (together 1162.5 kg/year).In the 233U+2.0 wt% TRU-MAs fuel scheme, 127.35 kg of MA waste can be incinerated annually, and their transmutation rate is 15.95%, which is equivalent to the annual production of MA nuclear waste from 4.9 conventional 1000 MWe light water reactors. Here, TRU-MAs is the mixtured MA fuels after separation of Pu from the TRU fuel. At the same time, radioactive fuel 238Pu, which can be used for space nuclear power, is produced with an annual yield of 87.89 kg and an isotopic abundance of 87.57%. If the added TRU-MAs fuel is replaced with 2.0 wt% 237Np fluorinated salt, the annual yield and isotope abundance of 238Pu are further increased to 130.24 kg and 95.4%.

Productivity analysis and technical efficiency of sweet corn farming

This study examines the determinants of productivity in Secada F1 sweet corn varieties. We conducted a survey involving 34 selected farmers to assess production efficiency using the Stochastic Frontier Analysis (SFA) method. The results highlight the significant impact of precise Lannet pesticide application and efficient labor input on sweet corn yield. Notably, our findings indicate that judicious pesticide use and skilled labor management lead to increased crop production. Technical efficiency assessments demonstrated that the majority of farmers operate within a range of 0.69 to 0.99, with an average of 0.96, highlighting their effective utilization of resources. These insights have the potential to guide and inform agricultural practices, offering valuable guidance for the industry as it navigates the intricate landscape of modern agriculture. In a contemporary context marked by agricultural complexities, these revelations contribute to the pursuit of sustainable growth within the sector.

Minimizing Rate Variability with Effective Resource Utilization in Cellular Networks

Minimizing Rate Variability with Effective Resource Utilization in Cellular Networks

NIRS-XRF Fusion Spectroscopy for Coal Calorific Value Prediction Using Data Deficient Learning

Accurate and timely prediction of the coal calorific value holds immense significance in ensuring efficient and effective utilization of energy resources. In this manuscript, a novel analyzer for the rapid...

Delineation of groundwater potential zone using remote sensing and GIS-based AHP for sustainable groundwater management in Aceh Besar Regency, Aceh Province, Indonesia

Sustainable groundwater management is crucial for ensuring the long-term availability of water resources and supporting socio-economic activities. As water demands increase and hydrological systems become more complex, accurately identifying groundwater potential zones is essential for effective resource planning and utilization. However, the in-situ data availability is often very limited, particularly on a regional scale. To solve this problem, this study aimed to delineate groundwater potential zones in Aceh Besar Regency using remote sensing and a GIS-based AHP (analytical hierarchy process). Several factors were used to determine groundwater potential zones, including lithology, land use/land cover, slope, lineament density, drainage density, rainfall, and soil type. Each factor was weighted based on an extensive literature review and knowledge-driven decision-making techniques. The results indicated that 26.35% of the area was classified as having low groundwater potential, whereas 53.86% was classified as moderate. Areas that have high to very high groundwater potential cover 16.76% to 3.04% of the Aceh Besar territory. The high groundwater potential zones were mostly located in alluvial and clastic sediments lithology, gentle slopes, and had high annual rainfall. Meanwhile, areas with igneous and metamorphic lithology as well as steep slopes, had moderate to low groundwater potential. Validation was carried out by collecting the high-yield existing production wells and calculating the area under the curve (AUC) of the receiver operating characteristic (ROC) curve with relatively good accuracy (74.5%). This research has effectively described the spatial distribution of groundwater potential, contributing to sustainable groundwater management and enabling informed decision-making for sustainable groundwater practices.

Exploring the Criticality of Natural Resources Management and Technological Innovations for Ecological Footprint in the OECD Countries

ABSTRACT: The urgent imperative to confront the complex interplay between managing natural resources and fostering technological innovation, particularly in OECD countries, has become a focal point in global conversations. It is abundantly clear that critical issues such as the rampant overexploitation of our natural resources, insufficient embrace of sustainable practices, and the profound repercussions of technological advancements on our ecological footprint demand meticulous scrutiny and comprehensive action. This scrutiny is vital to guide the formulation of judicious policies and strategies capable of addressing these complex challenges. The challenges faced by OECD countries, distinguished by their advanced industrialization, and elevated standards of living, are further compounded by the depletion of natural resources resulting from extensive economic activities. The extraction and utilization of resources, encompassing water, minerals, and energy, emerge as significant contributors to ecological degradation. The heightened demand for raw materials to sustain technological industries has precipitated the overexploitation and depletion of natural resources, manifesting in activities such as mining, deforestation, and other extraction processes, leading to habitat destruction and biodiversity loss. Furthermore, the manufacturing and utilization of technology, particularly within industries heavily reliant on non-renewable energy sources, have been substantial contributors to pollution and greenhouse gas emissions. The study assesses the dynamic relationship between natural resources, economic growth, and technological innovation with respect to ecological footprints. It analyses the annual data series of a panel of 20 organisation for economic cooperation and development countries using the second-generation cointegration panel and cross-sectional autoregressive distributed lag methodology. The results of the slope coefficient confirm the existence of slope heterogeneity among countries. Furthermore, it affirms the long-term relationship among variables. Overall, the findings highlight the importance of effective utilisation of resources while investing in technological innovation to attain sustainable development goals.

Mediating Role of Good Governance between Debt Management and Economic Performance

No one country of the planet is self-sufficient for financial and non-financial resources. Some have abundant of natural resources while someone have abundant of human resources and so on. Due to scarce of resources a country needs effective and efficient utilization of resources. Effective and efficient utilization of resources depends upon good governance, competent and sincere economic managers. Keeping in view of the said perception, current study examined the role of good governance in the debt management and economic performance. Current study used the World Bank data from the period of 1990 to 2020. Economic performance is measured by the per capita income (PCI) and taken as dependent variable. Whereas, debt to gross domestic product (GDP) is taken an independent variable. While good governance (GG) is taken as mediating variable and measured through The Worldwide Governance Indicators (WGI) project constructs aggregate indicators of six broad dimensions of governance such as voice and accountability, political stability and absence of violence/terrorism, government effectiveness, regulatory quality, rule of Law and Control of Corruption. Econometric equation is developed to measure the direct and indirect effect of GG with respect to debt to GDP and PCI. The study results concluded that there is no relationship between debt to GDP and economic development. While interesting finding is that there is significant relationship between GG and economic performance. Study also found insignificant mediation of GG between debt to GDP and economic development.

The Role of Telehealth in Transforming Nursing Care: Opportunities and Challenges

The global healthcare sector is experiencing significant transitions, with the emergence of telehealth into the nursing profession at the cutting edge of this development. The emergence of telehealth technology has not only changed the way healthcare is administered, but it has also given nursing practitioners with new potential and difficulties. Telehealth has eliminated geographical restrictions, allowing nurses to remotely supervise and care for patients in the privacy of their own homes. This interdependence provides real-time health evaluations, rapid treatments, and ongoing patient interaction possible. Nurses can reach underprivileged groups by using the potential of telehealth, making healthcare more accessible and inclusive than ever before [1]. 
 The use of telehealth technologies improves nursing operations, lowering administrative hassles and allowing for more effective resource utilization. Nurses may now use digital platforms to conduct virtual consultations, remote patient monitoring, and manage electronic health records. This not only speeds up and increases the accuracy of information sharing, but it also allows nurses to focus more on direct patient care. As telehealth becomes more integrated into nursing practice, ethical concerns emerge. Patient privacy, data security, and the possibility of a digital divide must all be properly handled. Nurses must manage these ethical difficulties while maintaining patient confidentiality and ensuring that technology is used to empower rather than divide [2]. 
 While telehealth has great potential, there are obstacles to overcome, such as the digital divide, technological literacy, and access concerns. Nurses are critical in bridging these gaps, pushing for fair access to telehealth services, and educating both healthcare professionals and patients. In the future, nurses' roles in a digital healthcare landscape will continue to expand. To educate nurses with the skills needed to understand and exploit the promise of telehealth technology, continuous education and training will be critical. Nurse leaders must advocate an innovation culture, ensuring that the profession adapts to new technology while upholding the profession's essential principles of compassion and patient-centered care [3]. 
 In conclusion, the use of telehealth into nursing care gives an enormous amount of potential to improve patient outcomes, increase efficiency, and reinvent healthcare delivery. To take advantage of all these benefits, however, nurses must actively participate in creating the future of telehealth, resolving ethical concerns, and pushing for technology that promotes healthcare justice. Let us welcome the promise of telehealth to elevate the nursing profession and, more significantly, to improve the well-being of those we serve as we start on this revolutionary journey.

Trends in the Tissue Culture Techniques and the Synthesis of Bioactive Compounds in Eurycoma longifolia Jack-Current Status and Future Perspectives.

Over the last two decades, there has been a concerted effort by researchers to mass propagate Eurycoma longifolia and improve the yield of its very important and sought-after anti-cancer and aphrodisiac bioactive compounds. To achieve this, various techniques have been used to mass propagate and improve the yield of these bioactive compounds in tissue cultures. These techniques include the optimization of media conditions and application of various types and combinations of plant growth regulators (PGRs). In addition, some elicitation techniques have been used to improve the synthesis of these bioactive compounds. However, in comparison with other herbal species with similar economic importance, many techniques have not been applied to E. longifolia. Adopting the most recent methodologies would ensure efficiency and sustainability in the in vitro production of bioactive compounds in E. longifolia. Therefore, in this review, we present an up-to-date record on the success stories in the tissue culture techniques and synthesis of bioactive compounds. In addition, we attempted to identify some of the missing links on the road to the effective and sustainable biotechnological utilization of this super important biological resource.

Standardization Research on Scientific and Technological Archives Management in the Information Environment

With the advent of the information age, characterized by the rapid development of technology and the explosive growth of information, the management of scientific and technological archives faces unprecedented challenges. As a vital carrier of scientific innovation, technological research and development, and knowledge dissemination, the quality of management of scientific and technological archives directly impacts the effective utilization of scientific resources and the advancement of innovation processes. Therefore, in the information environment, how to standardize the management of scientific and technological archives, improve management efficiency, and ensure the integrity and security of archives, has become an urgent issue. Standardization, as an important means of modern management, plays an irreplaceable role in the management of scientific and technological archives. It helps make the management of scientific and technological archives more standardized and scientific, contributes to improving work efficiency in archive management, and facilitates the sharing and dissemination of scientific and technological archives, driving scientific progress and innovation. Hence, standardization of scientific and technological archives management in the information environment is a complex and arduous task, requiring efforts from multiple aspects, including strengthening collaboration, focusing on talent cultivation, and continuously updating and perfecting the standard system. Only in this way can the full value of scientific and technological archives be realized, driving scientific progress and innovation, and contributing to the sustainable development of human society.