Characteristics Of Resources Research Articles

Experimental Modeling of Wind Resources for Electricity Generation in the Ningo‐Prampram Region of Ghana

ABSTRACTWind energy, as a renewable energy source, plays a critical role in achieving the world's energy transition goals. This study assesses the wind resource characteristics and potential for wind power production in the Ningo‐Prampram District of Ghana. On‐site wind measurements were conducted using an air flow anemometer at various reference points within the study area. The collected site data were statistically validated against existing satellite data using T‐test analysis, which revealed no significant difference between the ground and satellite measurements (p > 0.05), despite observed changes in weather patterns. The results showed that the mean wind speed in the area ranged between 4 and 5.6 m/s at a height of 10 m, with a predominant wind direction from the East. The district exhibited a moderate turbulence intensity of 0.226, indicating fairly good suitability for wind power projects. A feasibility analysis determined that the study area, covering 142.03 km², has the potential to accommodate a 40 MW wind farm using 20 Enercon‐82‐E2 wind turbines (2 MW each) with an 80 m hub height. This installation could reduce Ghana's Wind Utility Scale total target for 2030 by 25.256%. These findings suggest that the Ningo‐Prampram District possesses favorable conditions for sustainable wind power development.

Assessment of genetic diversity by multivariate analysis in Turkish Hawthorn (Crataegus azarolus) genetic resources

Abstract Due to its diverse climatic conditions, Türkiye provides a suitable environment for the cultivation of many fruit species. This study focused on natural hawthorn (Crataegus azarolus), one of these fruit species, to select 94 different hawthorn genotypes collected from natural populations in Türkiye and determine their molecular and morphological characteristics. A significant variation was observed among the hawthorn genotypes in terms of the analyzed traits. According to the results of the molecular study using the inter simple sequence repeat (ISSR) marker system, 178 polymorphic bands were obtained from 12 different primers (Invitrogen Life Technologies, USA), and the polymorphism rate was determined to be 100%. The similarity index for the genotypes ranged from 0.40 to 0.93, and the genotypes were completely differentiated from one another. In terms of fruit characteristics, there was considerable variation among the genotypes: fruit width ranged from 8.96 mm (genotype 72) to 29.75 mm (genotype 101), fruit length ranged from 9.19 mm (genotype 72) to 24.86 mm (genotype 101), and fruit weight ranged from 0.45 to 12.42 g. This study provides a foundation for developing hawthorn genotypes that will offer high productivity while conserving water and soil resources in arid and semi-arid regions by revealing the degree of genetic variation and the morphological characteristics of hawthorn genetic resources adapted to different ecological conditions in Türkiye. Furthermore, the study demonstrates that genotypes with superior traits can be utilized as genetic material in hawthorn breeding programs, medical research, and the development of new cultivars.

Status and Evolving Characteristics of Marine Spatial Resources in the Hangzhou Bay Area of Zhejiang Province, China

The 20th Party Congress initiated efforts to strengthen maritime power and advance marine ecological civilization, which is essential for promoting sustainable development. To achieve this goal, this study combines field measurements, drone imagery, and high-resolution remote sensing data, using GIS technology to analyze changes in marine resources in Hangzhou Bay and assess marine area usage, intertidal zone area changes, and coastline erosion. The key findings show that the industrial sector accounts for the largest usage of marine area, with the industrial sea area growing by 110.3% from 2018 to 2020. The diversity index for marine area usage in Hangzhou Bay has remained stable, consistently at 0.6 and above over the past five years. The continental coastline of Hangzhou Bay has shown a decreasing trend in recent years from 2018 and 2021, with a total intertidal area of Hangzhou Bay decreased by 73.44 km2, where the overall shoal pattern in Hangzhou Bay remained relatively stable from 2008 to 2016. Erosion has been the predominant force, with maximum erosion surpassing 3 m and causing significant spatial changes. Between 2012 and 2016, the total erosion volume reached 192,473.74 × 106 m3, with an average annual erosion rate of 48,118.44 × 106 m3. This process has led to a gradual reduction in the size of affected areas over the period from 2001 to 2021. This research provides valuable insights for authorities to make informed decisions regarding the management of marine spatial resources in Hangzhou Bay.

Evaluation of online videos and websites on inspiratory muscle training for individuals with chronic lung disease.

Inspiratory muscle training (IMT) is an effective rehabilitation modality for individuals with chronic lung disease. IMT can improve dyspnea, exercise capacity, and health-related quality of life. Online resources are common sources of health information for individuals. This study is the first to: 1) evaluate the content, reliability, quality, and comprehensibility of IMT-related videos and websites for individuals with chronic lung disease, and 2) determine the characteristics of these online resources. The search term "(respiratory muscle training) OR (inspiratory muscle training)" was used to evaluate the first 200 consecutive YouTube videos and 200 Google websites on IMT for chronic lung disease management. Online resources were evaluated using validated scoring metrics: modified DISCERN tool, Global Quality Scale (GQS), and Patient Education Materials Assessment Tools (PEMAT) understandability and actionability. Content comprising key IMT components was also scored. Forty videos and fourteen websites were included, with majority uploaded by for-profit organizations. Content scores (out of 25) were low (videos 7.7±4.4; websites 11.4±5.3, p=0.01). Benefits of IMT were often highlighted, but safety considerations were infrequently mentioned. Resources scored poorly on modified DISCERN (videos 2/5 IQR[1.0-3.0]; websites 3.5/5 IQR[2.0-4.0], p=0.001), and GQS scores (videos 2/5 IQR[2.0-3.0]; websites 3/5 IQR[2.8-3.3], p=0.003). Online resources met the PEMAT threshold (>70%) for understandability, but not actionability. Online IMT resources have mainly focused on the benefits of IMT and majority were developed by for-profit organizations. There is a need for high-quality, evidence-based online resources, as IMT is an important rehabilitation modality for chronic lung disease management.

Coordinated allocation of distributed generation, soft open points and energy storage systems in unbalanced distribution networks considering flexibility deficiency risk

Coordinated allocation of distributed generation, soft open points and energy storage systems in unbalanced distribution networks considering flexibility deficiency risk

Diagnosis of Pneumocystis jirovecii Pneumonia in Non-HIV Immunocompromised Patient in Korea: A Review and Algorithm Proposed by Expert Consensus Group.

Pneumocystis jirovecii pneumonia (PJP) is a life-threatening infection commonly observed in immunocompromised patients, necessitating prompt diagnosis and treatment. This review evaluates the diagnostic performance of various tests used for PJP diagnosis through a comprehensive literature review. Additionally, we propose a diagnostic algorithm tailored to non-human immunodeficiency virus immunocompromised patients, considering the specific characteristics of current medical resources in Korea.

Quantifying the Green Gains: A Difference-in-Differences Analysis of Low-Carbon City Pilot Policies and Green Total Factor Productivity

In the past decade, China has enhanced its efforts to achieve sustainable and low-carbon development as a strategic response to climate change. According to their respective development stages and resource characteristics, cities in different regions have explored practical paths of carbon transformation through low-carbon city pilots. These pilots are designed to scale up nationwide low-carbon programs, focusing on embracing the challenge of peaking and neutrality carbon targets in China. This paper examines the performance of the low-carbon city pilot policy in China by analyzing panel data of prefecture-level cities from 2007 to 2020. Qualitatively, the paper estimates the impact of policies on GTFP and environmental innovation by incorporating a DID framework. These policies have had a positive impact on GTFP and innovation, but there is still potential for technological advancement. By incorporating the SBM-GML model, this study identifies further refinement areas for policy that would more firmly establish sustainable growth mechanisms within China’s evolving green development paradigm.

Applications of earth remote sensing for natural resource monitoring in Ukraine

In this paper, the Ukrainian experience of using satellite data for natural resources monitoring, management and preservation from the academic and purely practical perspective was studied using an integrative literature review with elements of scoping review according to PRISMA guidelines. The results of the review indicate that the most widely used Earth Remote Sensing (ERS) methods include the application of the information from Landsat and Sentinel satellites, mainly because of their advantages in terms of the cost, period able to be studied, appropriate resolution, and adequate number of spectral channels to enable a large array of possible studies. Ukrainian scientists use satellite images to monitor changes and condition of the landscape and waters to obtain information about the amount of damaged landscape, the condition of the agricultural lands, and the condition of the different types of land for prediction of the deteriorative processes and potential sources of dangerous situations, as well as study origin, history, characteristics of the water resources and provide more precise picture using machine processing software (mostly Google Earth Engine and ArcGIS) with build-in machine algorithms to extracted Normalized Difference Vegetation Index, Modified Normalized Difference Water Index, and Normalized Difference Built-Up Index. The most widely used ERS methods include the application of the information from Landsat and Sentinel satellites, mainly because of their advantages in terms of the cost (free access to their databases), period able to be studied (from 1972 to present), appropriate resolution (10m/pixel to 120 m/pixel), and adequate number of spectral channels to enable a large array of possible studies.

Construction of College Students’ Music Interest Platform Based on Internet+

In the context of the gradual improvement of the degree of personalized development, College Students’ interest in music shows a diversified trend, which makes the construction of relevant music platforms fully consider the actual needs of individual users and recommend resources corresponding to their interests. This paper puts forward the research on the construction of College Students’ music interest platform based on Internet [Formula: see text]. On the premise of analyzing the value proposition of the cultural industry platform model and the emphasis on customer goals under the background of “Internet [Formula: see text]”, this paper designs a platform structure including resource management module, College Students’ user management module, resource recommendation module and resource startup module. The big data technology under the background of “Internet [Formula: see text]” is used to analyze the MIDI audio characteristics and user behavior characteristics of resources. The binary community is used to establish the matching relationship between the two, determine the recommended resources, and introduce the heat parameter to avoid the cold start problem. The test results show that the processing efficiency and response time of the design platform for user behavior and user requests can meet the needs of practical applications, and has high stability. The collection map, Download map and share map of the recommended results of the platform are the best outputs in the test stage.

Monitoring and Analysis of the Driving Forces Behind Ecological and Environmental Quality at the County Scale Based on Remote Sensing Data

Chaohu Lake, as an important freshwater lake in China, mainly relies on surface runoff for water replenishment, and the environmental quality of the surrounding towns directly impacts the environment of Chaohu Lake. Given the characteristics of rich water resources and extensive river networks in the lake area, this paper utilizes the GEE platform and selects Landsat data from 1992 to 2022, taking Feidong County, one of the lake’s inlets, as the study area. We used the water benefit-based ecological index (WBEI) to monitor and evaluate the ecological quality of the study area and employ the Sen+MK trend analysis method to analyze the spatial-temporal characteristics of ecological quality changes. To explore the driving forces behind the spatial-temporal changes in the WBEI, this study selects land use type, elevation, slope, aspect, potential evapotranspiration, annual average precipitation, annual average temperature, and five characteristic factors used in the construction of the WBEI as influencing factors. Using the geo-detector method, the study analyzes the driving forces behind the spatial-temporal changes in the WBEI in the study area. Results show that the WBEI, considering water efficiency, integrates waterbody information into regional environmental quality assessments, comprehensively reflecting the ecological environment of lakeside cities. From 1992 to 2022, the WBEI of the study region shows an increasing trend, with an improved area accounting for 1110.42 km2, or 51.21% of the total area. Among these, the significantly improved area covers 372.9789 km2 or 17.2% of the total area, while the slightly improved area covers 737.4411 km2, corresponding to 34.01% of the total area. Interaction types of influencing factors include bivariate enhancement and nonlinear enhancement, with the primary interactive factors affecting the ecological environment quality change in Feidong County being CLCD∩RVI; changes in land use and vegetation cover are the main driving forces behind the changes in ecological and environmental quality in Feidong County. From 1992 to 2022, the main land type transformations in the study area were from arable land to other land types, with a significant conversion of arable land to construction land, which is the main reason for the degradation of local ecological and environmental quality. The results of this study can provide practical references and theoretical support for ecological environment assessment, governance, and improvement in areas with abundant water resources.

Urban family with minor children: resources, moral guidelines and social adaptation of working parents. Part two

The article presents the results of studying the daily activities of working parents in the field of caring for minor children and their upbringing. Data from monitoring studies of the daily activities and time budget of urban residents carried out during 1986–2020 were used. The composition of families with children is considered and the resource characteristics of parents are analyzed, which turned out to be very similar for fathers and mothers. The relationship of parents’ time spent on caring for children and their upbringing with parents’ belonging to fathers and mothers, with their age, level of education, religious identity and income level in parents’ families, as well as with some value orientations of fathers and mothers, is investigated. The analysis showed that the objective picture of working parents using time resources for activities with children does not agree with their subjective opinion that “activities with their children, their upbringing is the most important thing in the life of both spouses”. At the same time, most working fathers and mothers are satisfied with the time spent both on caring for children and on their upbringing as time resources. The characteristics of the provision of fathers and mothers with other resources do not affect their satisfaction with time spent. There is a direct relationship between satisfaction with the time spent on raising children and parents’ satisfaction with life in general. An analysis of the moral guidelines of parents, which are the moral basis for the process of socialization of minor children in the family, has shown that more than half of the moral qualities related to virtues are the norm for the vast majority of fathers and to a somewhat lesser extent for mothers. At the same time, there is a tendency to blur parents’ ideas about qualities-v irtues andanti- virtues as a norm and deviation from it. In addition, a trend is emerging in which, judging by estimates, a considerable part of parents do not see a positive life prospect for their children, in terms of their social adaptation, if children in life are guided by the same virtues as the parents themselves. The first part in the article analyzed the composition and resource potential and the use of time resources of parents for child care and upbringing. The second part is about the moral guidelines and the results of social adaptation of working parents. The numbering of tables and figures is continuous in both parts.

Research on Environmental Legal Challenges in Trans-boundary Water Resource Management of the Yellow River Basin

The Yellow River Basin, as a critical water resource supply area in China, faces multiple environmental legal challenges in trans-boundary water resource management. By outlining the characteristics of water resources in the Yellow River Basin, this study reveals the current issues of water scarcity and pollution in the basin. Through case studies, textual analysis, and comparative analysis, the study examines the legal issues associated with these challenges and investigates the causes and potential solutions for transboundary water resource governance in the Yellow River Basin. By reviewing the legal framework, it identifies inconsistencies in application and deficiencies in cooperative mechanisms. The study proposes recommendations to improve legislation, strengthen inter-provincial cooperation, enhance public participation, and enforce environmental accountability, aiming to optimize management and promote sustainable development.

Classification of Multi-Value Chain Business Data Resources Based on Semantic Association

Focusing on the classification of business data resources within a unified business semantic environment is an important method to simplify the data environment and a crucial approach to studying data intelligence. A multi-value chain data space is a typical business semantic heterogeneous complex data environment. This paper summarizes the characteristics of multi-value chain business data resources and proposes a study on their classification using business semantic logic. By constructing a semantic-based relational model for multi-value chain business data resources and a multi-value chain business lexicon, this paper unifies the semantics of business data resources. This creates conditions for their classification according to business logic. Based on the feature transformation of business data resources, this paper proposes a clustering algorithm for multi-value chain business data resources (Business data resource classification algorithm for multi-value chain data space, BDRCA4MVCDS) aimed at a data space, completing the classification of business data resources. Finally, comparative experiments with KMeans and KABSA demonstrate the clustering effectiveness of the proposed algorithm (BDRCA4MVCDS) as well as its good stability and adaptability.

The Policy-Making Model Based on Conflict of Interest Management in Crisis Conditions in the Country's Health System (Case of Study: The Experience of COVID-19)

Background: Policy-making is one of the management functions in the health system, and according to the main goal of the health system, which is health promotion, health system approaches are advancing in the light of presenting a policy-making model based on conflict of interest management. Therefore, the purpose of this research is to present a policy-making model based on conflict of interest management in crisis conditions in the country's health system during the period of the COVID-19 crisis. Methods: This research is an applied research in terms of purpose, and has a qualitative approach, and the multi-grounded theory method was used as the research method. This study was conducted by collecting data, through library studies and semi-structured interviews with 12 experts of the country's health system through theoretical sampling until the saturation point was reached. The inclusion criteria were familiarity with the policy-making process in the health system and having at least a master's degree related to policy-making, and the exclusion criterion was lack of desire and motivation. Data analysis was done in three stages of open coding, axial coding, and selective coding using MaxQDA10 software. In order to obtain the reliability and validity of the data, 2 methods of reviewing the participants and Lincoln and Guba (1985) approach were used. Results: The findings showed that the policy-making model based on conflict of interest management includes 74 sub-categories in the form of 18 main categories of causal, contextual, intervening conditions, central phenomenon, consequences, and strategies. It indicates that selecting policy-maker, the personality characteristics of the policy-maker, the principles of health system policy-making, and medical resources and equipment are causal factors affecting policy-making based on conflict of interest management, which predicts consequences at the micro and macro levels. Conclusion: The policy-making model based on conflict of interest management comprehensively identifies factors such as the personality characteristics of policymakers and health system resources as influential factors. This model shows that considering these factors, consequences can be predicted at the micro and macro levels. Therefore, effective conflict of interest management requires attention to various conditions and factors, so that decisions can be made optimally and without conflict.

Navigating Ecological–Economic Interactions: Spatiotemporal Dynamics and Drivers in the Lower Reaches of the Jinsha River

The lower reaches of the Jinsha River, serving as a vital ecological barrier in southwestern China and playing a crucial role in advancing targeted poverty alleviation efforts, remain underexplored in terms of the coupling between ecological and economic development, creating a gap in understanding the region’s sustainable development potential. This study combines the remote sensing ecological index (RSEI) derived from MODIS data and the biodiversity richness index (BRI) based on land use data to create the ecological environment index (EEI) using a weighted approach. It also develops the economic development index (EDI) from economic data using the entropy weight method. By integrating the EEI and EDI, the study calculates key metrics, including the ecological–economic coupling degree (EECD), coupling coordination degree (EECCD), and relative development degree (EERDD), and examines their spatiotemporal changes from 2000 to 2020. Additionally, the study applies a geographic detector model to identify the spatial drivers of the EEI, an obstacle factor diagnosis model to pinpoint the main barriers to EDI, and a neural network model to uncover the underlying forces shaping EECCD. The results indicate that: (I) From 2000 to 2020, the overall improvement rate of the ecological and economic subsystems was greater than that of the ecological–economic coupling system. The entire region is still in the Running-In Stage, and the coordination level has been upgraded from near imbalance to marginal coordination. About 85% of the counties’ EERDDs are still in the EDI Behind EEI Stage. (II) The structural composition of the EEI shows a pattern of low Dry Hot Valley Area and high in other areas, mainly driven by natural factors, although human activities had a notable impact on these interactions. (III) Originating from an impact model primarily driven by economic factors and supplemented by ecological factors, both EDI and EECCD exhibit a pattern of high in the south and low in the north, with improvements spreading northward from the urban area of Kunming. The development gradient differences between 24 poverty-stricken counties and 16 non-poverty-stricken counties have been reduced. (IV) For the six types of ecological–economic coupling development zones, it is essential to adopt localized approaches tailored to the differences in resource and environmental characteristics and development stages. Key efforts should focus on enhancing ecological protection and restoration, increasing financial support, implementing ecological compensation mechanisms, and promoting innovative models for sustainable development.

A novel economic dispatch of energy-renewable multi-area power systems with group-based differential evolution

A novel economic dispatch of energy-renewable multi-area power systems with group-based differential evolution

Low-Temperature Plasma Generators with Improved Energy and Resource Characteristics for Surface Treatment of the Technological Parts of Equipment

Low-Temperature Plasma Generators with Improved Energy and Resource Characteristics for Surface Treatment of the Technological Parts of Equipment

Temporal and Spatial Distribution Characteristics of Fish Resources in a Typical River–Lake Confluence Ecosystem During the Initial Period of Fishing Ban

This study provides a comprehensive analysis of the spatio-temporal dynamics of fish resources in the confluence waters of Poyang Lake and the Yangtze River, focusing on the initial phase of a 10-year fishing ban implemented in January 2020. Through hydroacoustic surveys conducted during both high-water (September 2020) and low-water (January 2021) periods, we identified significant variations in fish density and individual size across different sections. During the high water level period, fish concentrations were primarily observed in the confluence area between the Yangtze River and Poyang Lake, exhibiting higher densities compared to other regions. Conversely, fish congregated in the deep-water zones of the main river during the low water level period. The fish population was dominated by small to medium-sized individuals, with mean body lengths of 12.47 cm and 12.62 cm during the high and low water level periods, respectively. Notably, 42 and 33 fish species were recorded during the high-water and low-water surveys, respectively, emphasizing the region’s rich biodiversity. Importantly, the study demonstrates that the fishing ban has resulted in substantial increases in both fish density and mean body length, underscoring its effectiveness in fostering fish population recovery. These findings provide critical baseline data to inform scientific conservation and management strategies in this ecologically sensitive river–lake ecosystem.

The spatiotemporal changes of crab community in the Yangtze River Estuary after the fishing ban

The Yangtze River Estuary is the traditional habitat of fishery resources in China and also one of the crab fishing sites, but nowadays the crab resources have been seriously affected by high-intensity anthropogenic disturbance. To understand the composition and diversity of crab community following the fishing ban, six surveys were conducted from August 2022 to November 2023 using the single-bag trawl method. This study examined the crab community composition, biodiversity, resource density, spatiotemporal distribution patterns, and main influencing factors. Results indicated that a total of 14 crab species lived in the Yangtze River Estuary. Matuta planipes and Portunus trituberculatus were dominant crabs in summer 2022. P. trituberculatus, Eriochier leptognathus, and Charybdis japonica were dominant crabs in autumn 2022. Then, E. leptognathus and Eriocheir sinensis were dominant crabs in winter 2023. Notably, the largest numbers of dominant crabs appeared in spring 2023, including M. planipes, P. trituberculatus, E. leptognathus, C. japonica, and E. sinensis. Three same dominant crabs (M. planipes, P. trituberculatus, C. japonica) were identified in the summer and autumn of 2023. Thereinto, P. trituberculatus was the most dominant crab. The abundance and biomass trends of estuary crabs were winter< spring< autumn< summer. The community diversity index, evenness index, and richness index were winter< summer< autumn< spring, indicating the seasonal changes in abundance, biomass, and biodiversity. Correlation and redundancy analysis revealed that dissolved oxygen and salinity were the most critical environmental factors, which affect the changes in crab community in the estuary. This study revealed the changing characteristics of crab resources in the Yangtze River Estuary after the fishing ban, and provided the essential data and scientific basis for resource conservation and management decisions.

A Coordinated Bidding Strategy of Wind Power Producers and DR Aggregators Using a Cooperative Game Approach

The purpose of this paper is to analyze the profitability of wind energy and demand response (DR) resources participating in the energy and frequency regulation markets. Since wind power producers (WPPs) must reduce their output to provide up-regulation and DR aggregators (DRAs) have to purchase additional power to facilitate down-regulation, this may result in revenue loss. If WPPs coordinate with DRAs, these two costs could be reduced. Thus, it would be profitable for WPPs and DRAs to form a coalition to participate in the regulation market. To better utilize the frequency response characteristics of wind and DR resources, this paper proposes a cooperation scheme to optimize the bidding strategy of the coalition. Furthermore, cooperative game theory methods, including Nucleolus- and Shapley-value-based models, are employed to fairly allocate additional benefits among WPPs and DRAs. The uncertainties associated with wind power and the behavior of DR customers are modeled through stochastic programming. In the optimization process, the decision-maker’s attitude toward risks is considered using conditional value at risk (CVaR). Case studies demonstrate that the proposed bidding strategy can improve the performance of the coalition and lead to higher benefits for both WPPs and DRAs. Specifically, the expected revenue of the coordinated strategies increased by 12.1% compared to that of uncoordinated strategies.