Exploration on Construction Planning of Ecotownship in Underdeveloped Regions with a Case of Luoshi Town, Fengxin County, Jiangxi Province

Eco-township is of great significance for constructing beautiful countryside and accomplishing regional coordinated development between rural and urban areas to protect and improve environment in towns and villages in accordance with Envi- ronment Planning and Guidance of Townlets. The research took national eco-town- ship in Luoshi Town, Xinluo County, Jiangxi Province as an example and analyzed major environmental problems and causes by collecting natural, social and environ- ment information, from the perspectives of surveying on pollution source and envi- ronment quality. Finally, the research conducted regionalization of environment func- tion zones, determined environment quality protection objectives, and formulated en- vironment protection countermeasures, providing references for eco-township develop- ment in underdeveloped areas.

Identification and analysis of underdeveloped resource-rich regions in China

This paper analyzes the existence of developmental views and compares the results of previous studies for underdeveloped regions. In view of the limitations of previous studies, this study details regional unit, expands index system, applies factor-analysis to structure index system, uses the fuzzy comprehensive evaluation model to improve analytic hierarchy process, and identifies the economic developmental levels of 384 regions, including 4 municipalities, 333 cities at prefecture level, and 47 counties under the jurisdiction of province. The levels of the 47 counties are identified by dividing the rank of comprehensive values of more than 337 regions unit into five equal graduations and then matching the 47 counties with the five-graduation results. This study provides the distribution of resources-rich region in China qualitatively and quantitatively in terms of coal, oil gas and other 14 kinds of metal mineral resources. Finally, by matching the two parts of results, this study identifies the distribution of underdeveloped resource-rich regions (URRRs). URRRs are mainly distributed in Shaanxi, Shanxi, Guizhou, Yunnan, Sichuan, He’nan, Shandong, Guangxi and Gansu provinces, which accounts for 78.57% of the total in China. To a certain degree, the result of this paper proves that “resources curse” existing in the national stratification plane in later 20th century still takes places in some cities in China, especially in the counties of these cities’ jurisdiction.

Research on central village selection in western underdeveloped region:a case study of Lidian Town,Jingning County,Gansu Province,China

Central village selection is the priority of small town construction.Depending on the development potential analysis,classification analysis,and quantitative and qualitative analysis,this article systematically proposes the specific methods of central village selection and also constructs the indicator system used in central village selection in small towns of western underdeveloped region in China.The article also puts forward ideas and methods for selection of central village in the western underdeveloped region through an empirical research on Lidian Town,Jingning County,Gansu Province.In the final part,suggestions and recommendations on how to develop central village for Lidian Town are made.

Utilization of Artificial Intelligence for Diagnosis and Management of Urinary Incontinence in Women Residing in Areas with Low Resources: An Overview

Urinary incontinence (UI) is a distressing condition involving involuntary loss of urine from the body. Urinary incontinence can negatively impact a person’s overall quality of life and lead them into stages of embarrassment and depression. It is an underrepresented and undertreated condition prevalent in women, especially in low socioeconomic regions where women may not be able to express their concerns due to unawareness of diagnosis and treatment/management options. There are different diagnostic and management protocols for UI;however, utilizing artificially intelligent systems is not standard care. This paper overviews the use of artificial intelligence in women’s health and as a means of cost-effectively diagnosing patients, and as an avenue for providing low-cost treatments to women that suffer from urinary incontinence in low-resource communities. Studies found that these systems, mainly utilizing artificial neural networks (ANNs) and convolutional neural networks (CNNs), served to be an effective method in diagnosing patients and providing an avenue for personalized treatment for improved patient outcomes. A simple artificial intelligence (AI) model utilizing Multilayer Perceptron (MLP) Networks was proposed to diagnose and manage urinary incontinence.

Application of Solar Power in Less Developed Regions Under the Background of Low-Carbon Economy

Development of a low-carbon economy and reduction of carbon emissions is the trend of future global socio-economic change, and the only way to mitigate climate change under the frame- work of sustainable development. Based on the concept of a low-carbon economy, the author at- tempts to find a way for underdeveloped regions, which can satisfy their own development without increasing the pressure on the local environment. Taking Guizhou Suiyang as an example, the solar power designed in the land application provides a solve the issue of power supply. low-carbon case study of underdeveloped areas to solve the issue of power supply.

Techno-economic analysis of a hybrid renewable energy system integrated with productive activities in an underdeveloped rural region of eastern Indonesia

The Southwest Maluku region in eastern Indonesia is considered a frontier,outermost and underdeveloped region.Its inhabitants live on isolated islands,including the residents of Mahaleta Village,where only 9.4%of the community have limited access to electricity.This study aimed to design an economically feasible hybrid renewable energy(RE)system based on solar and wind energy to integrate with the productive activities of the village.The study developed conceptual schemes to meet the demand for electricity from the resi-dential,community,commercial and productive sectors of the village.The analysis was performed using a techno-economic approach.The hybrid system was designed using the HOMER Pro optimization function,and cold-storage and dryer systems were designed to support related productive activities.The optimized design of the hybrid RE system comprised 271.62 kW of solar photovoltaics,80 kW of wind turbines and a 1-MWh lead-acid battery.We found that the hybrid RE system would only be economically feasible with a full-grant incentive and an electricity tariff of$0.0808/kWh.However,the productive activity schemes were all economically feasible,with a cold-storage cost of$0.035/kg and a drying cost of$0.082/kg.Integrating the hybrid RE system with productive activities can improve the economic feasibility of the energy system and create more jobs as well as increase income for the local community.