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 propos...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.展开更多
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 ...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.展开更多
Urinary incontinence (UI) is a distressing condition involving involuntary</span><span style="font-family:Verdana;"> loss of urine from the body. Urinary incontinence can negatively impact a pers...Urinary incontinence (UI) is a distressing condition involving involuntary</span><span style="font-family:Verdana;"> loss of urine from the body. Urinary incontinence can negatively impact a person</span><span style="font-family:Verdana;">’</span><span style="font-family:Verdana;">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</span><span style="font-family:Verdana;">/management</span><span style="font-family:Verdana;"> options. There are different diagnostic and </span><span style="font-family:Verdana;">management</span><span style="font-family:Verdana;"> protocols for UI;however, utilizing artificially intelligent systems is not standard care. This paper overviews</span><span style="font-family:""> </span><span style="font-family:Verdana;">the use of artificial intelligence in women</span><span style="font-family:Verdana;">’</span><span style="font-family:Verdana;">s health and as a means of cost-effectively diagnosing patients,</span><span style="font-family:""> </span><span style="font-family:Verdana;">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 </span><span style="font-family:Verdana;">(ANNs) </span><span style="font-family:Verdana;">and convolution</span><span style="font-family:Verdana;">al</span><span style="font-family:Verdana;"> neural networks</span><span style="font-family:Verdana;"> (CNNs)</span><span style="font-family:""><span style="font-family:Verdana;">, served to be an effective method in diagnosing patients and providing an avenue for personalized treatment for improved patient outcomes. A simple artificial intel</span><span style="font-family:Verdana;">ligence (AI) model utilizing Multilayer Perceptron (MLP) Networks was</span><span style="font-family:Verdana;"> proposed to diagnose and </span></span><span style="font-family:Verdana;">manage</span><span style="font-family:Verdana;"> urinary incontinence.展开更多
文摘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.
基金The authors are grateful to the Faculty of Engineering Universitas Indonesia for supporting this work financially under the Seed Grant Professor FTUI,Contract Number:NKB-1966/UN2.F4.D/PPM.00.00/2022.
文摘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.
文摘Urinary incontinence (UI) is a distressing condition involving involuntary</span><span style="font-family:Verdana;"> loss of urine from the body. Urinary incontinence can negatively impact a person</span><span style="font-family:Verdana;">’</span><span style="font-family:Verdana;">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</span><span style="font-family:Verdana;">/management</span><span style="font-family:Verdana;"> options. There are different diagnostic and </span><span style="font-family:Verdana;">management</span><span style="font-family:Verdana;"> protocols for UI;however, utilizing artificially intelligent systems is not standard care. This paper overviews</span><span style="font-family:""> </span><span style="font-family:Verdana;">the use of artificial intelligence in women</span><span style="font-family:Verdana;">’</span><span style="font-family:Verdana;">s health and as a means of cost-effectively diagnosing patients,</span><span style="font-family:""> </span><span style="font-family:Verdana;">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 </span><span style="font-family:Verdana;">(ANNs) </span><span style="font-family:Verdana;">and convolution</span><span style="font-family:Verdana;">al</span><span style="font-family:Verdana;"> neural networks</span><span style="font-family:Verdana;"> (CNNs)</span><span style="font-family:""><span style="font-family:Verdana;">, served to be an effective method in diagnosing patients and providing an avenue for personalized treatment for improved patient outcomes. A simple artificial intel</span><span style="font-family:Verdana;">ligence (AI) model utilizing Multilayer Perceptron (MLP) Networks was</span><span style="font-family:Verdana;"> proposed to diagnose and </span></span><span style="font-family:Verdana;">manage</span><span style="font-family:Verdana;"> urinary incontinence.