Benefits Of Resources Research Articles

Does Equity Matter in Natural Resource and Livelihood Benefits? Revenue Sharing Policy Implementation at Bwindi Impenetrable National Park, Uganda

This paper presents and interprets key parameters within Revenue Sharing policy implementation framework and links them to people’s livelihood improvement and conservation. This study creates a linkage between equitable distribution of Revenue Sharing projects, people’s livelihood improvement and conservation support. The paper further presents the distribution of projects across various sections of people boardering with Bwindi. Data was analysed both quantitatively and qualitatively to generate frequencies and percentages in order to illustrate the differences. Not all the variables to explain benefit distribution were significant for both livelihood improvement and conservation support. Significant variables included; resource users, ethnicity, gender, proximity from park boundary and homestead distance to vehicle roads and village centres. Results further indicate that projects are not well targeted and there is no equity during implementation. Those who bear the most conservation costs are not well targeted by resource benefits. The paper recommends a Revenue Sharing Equitable Framework and Community Based Monitoring approach in order to improve the policy implementation practice.

Research on the Optimization of Enterprise Resource Economic Benefits and Management Costs in Cloud Computing Environment

Abstract Based on cloud computing technology, this paper constructs a benefit-optimal enterprise resource scheduling model and an enterprise cost management prediction model to maximize the economic benefits of enterprise resources and optimize the management costs, respectively. Combining the improved greedy algorithm and the benefit function, a cloud resource scheduling algorithm based on benefit optimization is proposed, defining the benefit function about time and cost, and taking the highest user satisfaction as the optimal resource scheduling objective. A mathematical model for management cost prediction is constructed by using the fireworks algorithm to optimize the number of trees and the number of leaf nodes in the random forest, and the Informatica software is used to manage and integrate the enterprise source data. The performance of the company’s operating conditions after optimizing resource management and cost savings is explored as a case study of Company S. In 2023, the total asset turnover ratio of Company S increased to 21.45 from 0.48 in 2022, and the overall asset operating efficiency improved. Working capital rose to 262,852,200 yuan. The current ratio, quick ratio, and cash ratio improved, while the gearing ratio, equity ratio, and equity multiplier showed a downward trend. The net operating margin achieved the maximum profitability in the last three years, net total assets margin, and net equity margin, with an increase of 25.42%, 20.65%, and 31.49%, respectively.

Electronic information resources management in academic libraries

The paper examined electronic information resource management in academic libraries. The paper is an opinion paper based on existing and related literature. The paper provided an introduction to academic libraries and electronic information resources (EIRs) as part of its resources. Other issues discussed in the paper include the concept of electronic information resources (EIRs), types of electronic information resources, benefits of electronic information resources and services in academic libraries, electronic information resource management in academic libraries, and challenges of managing electronic information resources in academic libraries. The paper concludes that proper management of electronic information resources (EIRs) in academic libraries is imperative to guarantee that users have access to sufficient and up-to-date information. Recommendations include continuous training programs for library staff and users, user-centric support services, collaborative partnerships with faculty and researchers to understand their needs, accessibility initiatives, usage data analysis, and the continuous effort of librarians in charge of academic libraries.

Scenario analysis to evaluate the economic benefits of tight oil resource development in China

Evaluating the economic benefits of tight oil resources is necessary for China to increase its tight oil production and reserves. This study systematically analyzes the uncertainties in tight oil development in China, the factors affecting the tight oil economy, and the coevolution of the economic development of tight oil resources from the technology and market perspectives. The results indicate that a positive market environment and technological progress are important for realizing the economic development of tight oil. Four potential scenarios for the development of tight oil resources in China are also identified (i.e., the current scenario, limited scenario, efficient development scenario, and inefficient development scenario), each associated with different internal rates of return (8 %, 14 %, 20 %, and 6 %, respectively).

Artificial Intelligence Enabled Human Resources Recruitment Functionalities: A Scoping Review

Human resources information systems have enhanced monitoring, documenting, and recording functions for organizations, and consequently have accelerated swift completion of routine processes. This change demonstrates the critical impact of adopting and using advanced technology such as artificial intelligence in the human resources function; in multiple functional gamut's, particularly in recruitment. This manuscript presents a scoping review of academic articles on the impact of adopting and using artificial intelligence in the human resource management function. The current review draft considered a total of 653 academic articles and aggregated review of 35 articles to present a classification framework with three distinct dimensions: artificial intelligence-enabled human resources benefits, challenges, and functionalities. Implications for future research and their directions are identified in the areas of value-added human services for decision-making, security, and privacy for customer and organization data, monitoring features, and creative IT service delivery models.

Research on Access and Benefit-Sharing Regimes for Agricultural Genetic Resources in India

India is one of the richest providers of genetic resources in the world and it advocates that the sovereignty of genetic resources belongs to the state to realize the equitable sharing of the benefits of genetic resources. The study shows that India has built a relatively complete legal system for access to genetic resources and benefit-sharing. This system revolves around three major laws and regulations, with clear management regulations for domestic and foreign access to genetic resources, a definite form and proportion of benefit-sharing, and a clear management method for the distribution of benefits after acquisition. India’s achievements in institutional construction can act as a great reference for the management of access to genetic resources and benefit-sharing in China.

Optimization of agricultural planting structure in irrigation areas of Heilongjiang province considering the constraints of water resource system resilience

From the perspective of sustainable development in irrigation areas, imperfect constraints, which have negatively impacted previous agricultural planting structure optimization models, tend to produce unreasonable optimization results. Thus, in this paper, attempts are made to incorporate the resilience of water resource systems into the constraint set and explore the optimal layout of agricultural planting structures in irrigation areas. We selected 12 sample irrigation areas in Heilongjiang Province, China, including Chahayang, Fuyu, and Tailai, as the research areas and considered their actual situations. Then, we established a multiobjective optimization model for an agricultural planting structure with rice, soybean, and corn planting areas as decision variables; socioeconomic benefits, agricultural production benefits, ecological benefits, and water resource benefits as objective functions; and water resource system resilience and net crop output value and other factors as constraints. Fifteen scenarios were assessed through the combination of objective functions, and the nondominated sorting genetic algorithm III (NSGA-III) was used to optimize and analyze the agricultural planting structure of typical irrigation areas in Heilongjiang Province and to determine the optimal planting plan. The research results found that the function values adjusted by planting area have significantly improved compared to those before optimization. The adjustment trend of agricultural planting area is to increase the planting area of rice and soybean and reduce the planting area of corn. The introduction of constraints on water resource system resilience ensures that other benefits remain basically unchanged; thus, the water resource objective function is significantly better with resilience constraints than without them. Therefore, water resource system resilience can act as an effective constraint; this finding enriches and expands the theoretical and methodological system for optimizing the management of agricultural planting structures in irrigation areas and thus provides important technological support for ensuring regional food security, ecological security, and water security, which has substantial practical significance.

Postgraduate students' approaches to E-resources in the Academic Library with Reference to Manonmaniam Sundaranar University, Tirunelveli, Tamil Nadu

Electronic sources are faster and easier to use than print indexes when finding information. We can search multiple files simultaneously faster than flipping through book pages. Plus, we could save our searches and resources for future use. Electronic resources are updated more frequently than print materials, too. One of the biggest benefits of electronic resources is that they can be accessed from anywhere with dial-up access, which is great for people who can't attend the library in person. The researcher took the initiative to analyse the P.G. students' approaches to e resources available in the Manonmaniam Sundaranar University Library at Tirunelveli. The researcher constructed a strong questionnaire based on previous studies and consulted with field experts. The research supervisor made some corrections in the light of the field experts. The researcher randomly selected 150 P.G. students from the study area and distributed the questionnaire. The researcher received only 120 fully completed questionnaires from the respondents.

Examining relationships between behavior, social environment, and trait factors on mood and anxiety state during social isolation and pseudo-confinement

Background:Extended duration in isolated, confined, and extreme (ICE) environments like space can have detrimental impacts on behavioral health. During the COVID-19 pandemic, large portions of the public were required to social distance, presenting unique circumstances of social isolation and pseudo-confinement. Methods:An internet-based survey was conducted from April to December 2020 of individuals (N = 39 participants, n=1302 survey entries) social distancing. Explanatory multi-level models were constructed to examine relationships between well-being state (anxiety, mood) and observed traits/mental health background, behaviors, and social environment. Results:Significant factors (p < 0.1) with protective relationships to well-being state (decreased anxiety, increased positive mood) included: mood level trait, self-perceived extroversion, hours of sleep, number of meals, time spent outdoors, time spent exercising, time spent on video games, and living alone. Factors with significant protective relationships to anxiety alone included: self-perceived introversion, being required to social distance, and time spent on cooking. Conversely, significant factors with risk relationships to well-being state (increased anxiety, decrease mood) included: time spent on schoolwork and living with individuals who were not family or friends; number of adults in the residence had a significant risk relationship to anxiety alone. Trait measures had the largest effect sizes (self-perceived extroversion explained the largest percentage of variance in outcomes), while behavioral and social environment factors had relatively small effect sizes. Discussion:Trait measures continue to be dominant in gauging potential resilience to ICE conditions, but the protective relationships observed from behavioral and social factors warrant continued exploration and personalization per individual. Statistical significance should not be equated to practical relevance. The relationships examined can inform the development, prioritization, and personalization of behavioral health tools for civilians in ICE environments on Earth and future spaceflight missions.

Assessment of the Contribution of HIS Usability towards Quality Health Care in Tanzania Public Regional Referral Hospitals

This study focuses on the assessment of the contribution of HIS usability towards quality healthcare services to Tanzania regional referral hospitals, a case study of the Geita Regional Referral Hospital (GRRH). The study divided the research participants into two strata including service providers and service recipients to ensure balanced opinions. The participants were obtained using a stratified simple random sampling technique. The mixed research approach was applied in collecting both quantitative and qualitative data. Data were collected using both a questionnaire and a semi-structured interview guide. The findings revealed that the use of ICT has improved the quality of healthcare at GRRH. Additionally, despite the existing challenges such as frequent power outages, lack of instant communication among service providers, lack of proper channel of communication between the hospital and community, and insufficient training, the use of ICT in GRRH showed a remarkable contribution towards quality healthcare provision including waiting time reduction, treatment cost reduction, easy and quick patients data retrieval, equitable service, people-centered or individual preferences, integrated and coordinated care, and efficient care by providing and maximizing the benefits of available resources.

Will Genomic Information Facilitate Forest Tree Breeding for Disease and Pest Resistance?

Forest trees are beleaguered by the ever-increasing onslaught of invasive pests and pathogens, with some species in danger of functional extinction. Recent successes in developing resistant populations using traditional tree breeding assures that some of the affected species will persist in future forests. However, the sheer number of threatened species requires increases in breeding efficiency. The time is right to consider how the use of genomic resources might aid breeding efforts in the next 20 years. Any operational benefit of genomic resources will be minimal without closer collaboration between tree breeders, forest managers, and genomic researchers. We reflect here on what attributes were responsible for the success of traditional resistance breeding programs and whether advances in genomics can realistically accelerate breeding. We conclude that the use of genomics to directly advance resistance breeding efforts in the next 20 years will be limited. Major obstacles will include factors such as the undomesticated nature of most tree species, the quantitative genetic nature of resistance in many species, and the lack of adequate funding to accelerate and more fully develop genomic resources. Despite these limitations, genomic tools have potential to help increase our understanding of the nature of resistance, and the genetic variability in the host, which can aid in the deployment of resistant populations and may assist in marker-assisted selection, particularly for major gene resistance.

Assessment of the Economic Value of Mangrove Resources

Mangrove resource that people often visit, has characteristics that are quite vulnerable to environmental disturbance. Maroon Mangrove Edupark is a mangrove resource in Semarang, located close to Maroon beach and Ahmad Yani International Airport. The presence of mangroves in Maroon Mangrove Edupark, is expected to protect Maroon coastal area and the airport from the coastal disaster, as well as to make it as a new sustainable ecotourism site. This study assessed the benefits of mangrove resource in Maroon Mangrove Edupark according to visitor perception, and provide the economic valuation toward mangrove plantation in there. Economic valuation measurement employed was TCM (Travel Cost Method). The economic surplus value per individual per visit is Rp 173.010,00. The value indicates the benefits of environmental services greater than the cost incurred. Besides that, only 35,54% of mangrove forest has been utilized. For optimalizing the values, increasing the number of mangroves were planted along with maintenance should be done.

Children’s Home Network’s Kinship Navigator Program: Connecting to Concrete Resources Through Peer-to-Peer Kinship Navigation Services

Peer-to-Peer Kinship Navigation (P2PKN) employs someone with lived kinship caregiving experience in providing support to others experiencing similar challenges. This study examines if P2PKN improves concrete resource benefits application and enrollment and how it compares to other study groups (peer-to-peer plus innovations, formally trained kinship navigators, and usual child welfare services). Using data from the Children’s Home Network Kinship Navigator randomized control trial, this study compared the application and enrollment data for kinship caregivers in Temporary Assistance for Needy Family (TANF) Child Only Program for different types of kinship care program groups. Study findings revealed that P2PKN excelled at connecting caregivers to concrete resources and had significantly higher TANF application and enrollment rates than other groups.

Economic benefits of water resources based on input–output model

Abstract To relieve environmental stress on water resources and promote stable socio-economic development, this article combined input–output models to analyze water resource utilization and development and to classify economic benefits. Based on this, an in-depth study was conducted on the economic benefits of water resources. Taking Hubei Province as an example, from the perspective of industrial structure, an empirical analysis was conducted on the water use benefits of various industries through input–output of water resources. The results showed that the mechanical industry and the transportation industry had the highest relative output coefficients, reaching 12.17 and 15.21, respectively. According to the results, the economic benefits of water resources in the secondary and tertiary industries of Hubei Province were relatively ideal. In practical development, industry-leading advantages could be utilized to optimize water resources management, innovate water use models and technologies, promote the improvement of agricultural water utilization rate and thus promote sustainable development of water resources.

Informing climate adaptation strategies using ecological simulation models and spatial decision support tools

IntroductionForest landscapes offer resources and ecosystem services that are vital to the social, economic, and cultural well-being of human communities, but managing for these provisions can require socially and ecologically relevant trade-offs. We designed a spatial decision support model to reveal trade-offs and synergies between ecosystem services in a large eastern Cascade Mountain landscape in Washington State, USA.MethodsWe used process-based forest landscape (LANDIS-II) and hydrology (DHSVM) models to compare outcomes associated with 100 years of simulated forest and wildfire dynamics for two management scenarios, Wildfire only and Wildfire + Treatments. We then examined the strength and spatial distribution of potential treatment effects and trends in a set of resources and ecosystem services over the simulation period.ResultsWe found that wildfire area burned increased over time, but some impacts could be mitigated by adaptation treatments. Treatment benefits were not limited to treated areas. Interestingly, we observed neighborhood benefits where fire spread and severity were reduced not only in treated patches but in adjacent patches and landscapes as well, creating potential synergies among some resource benefits and services. Ordinations provided further evidence for two main kinds of outcomes. Positive ecological effects of treatments were greatest in upper elevation moist and cold forests, while positive benefits to human communities were aligned with drier, low- and mid-elevation forests closer to the wildland urban interface.DiscussionOur results contribute to improved understanding of synergies and tradeoffs linked to adaptation and restoration efforts in fire-prone forests and can be used to inform management aimed at rebuilding resilient, climate-adapted landscapes.

Analysis of Regional Property Asset Management with Phenomenological Studies in the West Kutai Regency Government

The purpose of this research is to analyze regional property asset management with phenomenological studies in the West Kutai Regency Government. This research uses a qualitative method with a phenomenological approach. The key informants in this research are goods user authorities in the General Section of the Regional Secretariat of West Kutai Regency Government as individuals who act as goods user administration officials, user goods management officers, and a number of officers who act as auxiliary goods administrators. The primary data source for this research is obtained from direct interviews with parties who have relevance to the research topic or key informants, while for secondary data using library studies and other documents such as regulations and legislation, periodic reports as well as other related supporting documents. The data collection technique used is an in-depth interview process. The process of obtaining information by asking key informants face to face. Data analysis aims to carry out data processing by reducing what is conveyed to the main points of thought until it reaches specific themes. The results of the research show that the factors causing regional property asset management in the West Kutai Regency Government are the unequal quality of managing human resources in all existing regional apparatuses, the lack of visible real action to improve asset problems, the failure of regional financial and asset bodies to develop actions prioritization of improving asset management, ignoring the benefits of data resources, the parent does not understand the relationship between business processes, and the parent does not carry out problem mapping. Keywords: Regional Property Asset Management, Human Resources, Regional Financial, Business Processes

The proliferation of motor tricycle usage in precarious transportation contexts and the performance of micro and small manufacturers

Micro and small businesses (MSBs) in developing countries increasingly use motor tricycles to navigate transportation-induced supply chain disruptions. However, there is a lack of empirical understanding of whether and when these resources benefit such firms. This study draws on the contingent resource-based theory to examine how motor tricycle deployment relates to the performance of MSBs under varying conditions of supply chain dynamism in a developing country. The study tests its hypotheses on primary data from 267 micro and small manufacturers in Ghana using moderated regression analysis. The results indicate that motor tricycle deployment positively relates to MSB performance in Ghana (β = 0.024, SE = 0.007, p = 0.001). The results further show that supply chain dynamism positively moderates the relationship between motor tricycle deployment and MSB performance (β = 0.008, SE = 0.004, p = 0.035). In contributing to the limited literature on the firm-level performance implications of the increasing use of motor tricycles among micro and small businesses in developing countries, this study's results underscore the importance of adopting a contingency-based approach to understand the complexities inherent in the relationship between motor tricycle deployment and firm performance in these settings.

ECONOMIC CHARACTERISTICS OF AZERBAIJAN'S FUEL AND ENERGY RESOURCES AND ANALYSIS OF THE ECONOMIC-ECOLOGICAL SITUATION

Azerbaijan attracts attention as a country with rich energy resources. This study analyzes the economic characteristics of Azerbaijan's fuel and energy resources and the economic-ecological situation of these resources. Azerbaijan's oil and natural gas reserves have contributed greatly to the country's economic growth. While oil and natural gas production accounts for a large share of foreign trade revenues, the energy sector has increased employment and stimulated industrial growth. However, this growth in the energy sector has also brought environmental impacts. Oil and natural gas production has led to environmental problems such as depletion of natural resources, water pollution and air pollution. At the same time, excessive dependence on energy resources has made Azerbaijan vulnerable to fluctuations in international energy prices. This study examines Azerbaijan's energy policies and environmental sustainability efforts, emphasizing the importance of using energy resources more sustainably. Azerbaijan should focus on policy changes and investments to direct its energy sector in a way that protects the environment and sustains economic growth. This requires striking a balance that aims to minimize environmental impacts while preserving the long-term economic benefits of energy resources. Keywords: Azerbaijan, Fuel and Energy Resources, Economy, Ecology, Analysis, Oil, Natural Gas, Economic Growth, Environmental Impacts.

On the RTL Implementation of FINN Matrix Vector Unit

Field-programmable gate array (FPGA)–based accelerators are becoming increasingly popular for deep neural network (DNN) inference due to their ability to scale performance with increasing degrees of specialization with dataflow architectures or custom data type precision. In order to reduce the barrier for software engineers and data scientists to adopt FPGAs, C++- and OpenCL-based design entries with high-level synthesis (HLS) have been introduced. They provide higher abstraction compared with register-transfer level (RTL)–based design. HLS offers faster development time, better maintainability, and more flexibility in code exploration when evaluating several options for multi-dimension tensors, convolutional layers, or different degrees of parallelism. For this reason, HLS has been adopted by DNN accelerator generation frameworks such as FINN and hls4ml. In this article, we present an alternative backend library for FINN, leveraging RTL. We investigate and evaluate, across a spectrum of design dimensions, the pros and cons of an RTL-based implementation versus the original HLS variant. We show that for smaller design parameters, RTL produces significantly smaller circuits as compared with HLS. For larger circuits, however, the look-up table (LUT) count of RTL-based design is slightly higher, up to around 15%. On the other hand, HLS consistently requires more flip-flops (FFs; with an orders-of-magnitude difference for smaller designs) and block RAMs (BRAMs; 2× more). This also impacts the critical path delay, with RTL producing significantly faster circuits, up to around 80%. RTL also benefits from at least a 10× reduction in synthesis time. Finally, the results were validated in practice using two real-world use cases, one of a multi-layer perceptron (MLP) used in network intrusion detection and the other a convolution network called ResNet, used in image recognition. Overall, since HLS frameworks code-generate the hardware design, the benefits of the ease in the design entry is less important. As such, the gained benefits in synthesis time together with some design-dependent resource benefits make the RTL abstraction an attractive alternative.

Power System Analysis of Moving from HVAC to HVDC in the Presence of Renewable Energy Resources

As global energy consumption continues to increase, increased utilization and adaptation of renewable energy resources have tremendously increased over the last decades. Unfortunately, despite the many benefits of renewable energy resources, the intermittent nature of generation and the far distance of large installations from demand centers have tremendous effects on the connecting grid’s stability. In this study, high-voltage direct current (HVDC) systems are proposed as a solution for stable and reliable grid operation in the presence of large renewable energy installations. This research investigates the deployment of an HVDC system into an entire network rather than studying it as an isolated radial system. Various power system analysis functions for both static and dynamic conditions are used to study the effect of integrating an HVDC system on the overall network’s stability. To verify the proposed approach, Jordan’s national electric grid was modeled and used as a case study. The results show when deploying HVDC transmission, losses are reduced by 70% from the baseline case, in addition to better handling of contingency events and enhanced grid’s stability when examining the generator’s rotor angle and speed. Rigorous modeling and simulations of the proposed system structure show the feasibility and prove the advantages of modern HVDC systems over HVAC counterparts.