To halt biodiversity loss,threatened species are often selected as targets for conservation actions.However,whether most threatened species receive sufficient research effort remains unknown.Low research and public at...To halt biodiversity loss,threatened species are often selected as targets for conservation actions.However,whether most threatened species receive sufficient research effort remains unknown.Low research and public attention of threatened species would hinder the implementation of effective conservation actions.Therefore,it is urgent to assess both research effort and species extinction risk simultaneously to provide critical information for targeted conservation practices.Here,we evaluated research effort of extant bird species worldwide(n 10,904)by searching the number of all publications and those focused on conservation in Scopus database fo=r each species,and investigated key determinants of research effort.We found that although the median value of publications of threatened species was significantly higher than that of non-threatened species,47.4%of threatened species had less than 3 publications,and 73.8%had less than 10 publications,indicating low research effort of most threatened species.Although research effort was positively related to extinction risk,research effort was mainly associated with human-related variables,with birds described earlier and occurred in developed regions receiving higher research effort.In comparison,extinction risk was mainly associated with biological attributes,with large-sized and narrow-distributed species being more likely to be threatened.Our finding suggests that research effort of species can provide complementary information for current conservation strategies designed for threatened species,and we urge that many recently discovered and narrowly distributed species in less developed regions require more research and conservation attention.展开更多
Desalination is emerging as a promising alternative among various technologies to resolve water shortage. However, desalination requires a sufficient energy and cooling device and therefore poses limitations for its i...Desalination is emerging as a promising alternative among various technologies to resolve water shortage. However, desalination requires a sufficient energy and cooling device and therefore poses limitations for its installation and application. In particular, many countries suffering water deficits are economically underdeveloped and cannot afford the technology. As this technology, which changes seawater into freshwater, has little environmental impact, developed countries will need to assist less developed countries to introduce this technology as a humanitarian effort. This will help reduce the number of countries that have experienced difficulty with development.展开更多
In this study, we aimed to assess the relationship of socioeconomic status and acculturation with cardiovascular disease （CVD） risk profiles and CVD and examine the CVD risk factors associated with CVD. We used data...In this study, we aimed to assess the relationship of socioeconomic status and acculturation with cardiovascular disease （CVD） risk profiles and CVD and examine the CVD risk factors associated with CVD. We used data from the 2010 China Chronic Disease and Risk Factor Surveillance surveys, which consisted of a nationally representative sample of women. The following prevalence was found： myocardial infarction （MI）：展开更多
Effort estimation plays a crucial role in software development projects,aiding in resource allocation,project planning,and risk management.Traditional estimation techniques often struggle to provide accurate estimates...Effort estimation plays a crucial role in software development projects,aiding in resource allocation,project planning,and risk management.Traditional estimation techniques often struggle to provide accurate estimates due to the complex nature of software projects.In recent years,machine learning approaches have shown promise in improving the accuracy of effort estimation models.This study proposes a hybrid model that combines Long Short-Term Memory(LSTM)and Random Forest(RF)algorithms to enhance software effort estimation.The proposed hybrid model takes advantage of the strengths of both LSTM and RF algorithms.To evaluate the performance of the hybrid model,an extensive set of software development projects is used as the experimental dataset.The experimental results demonstrate that the proposed hybrid model outperforms traditional estimation techniques in terms of accuracy and reliability.The integration of LSTM and RF enables the model to efficiently capture temporal dependencies and non-linear interactions in the software development data.The hybrid model enhances estimation accuracy,enabling project managers and stakeholders to make more precise predictions of effort needed for upcoming software projects.展开更多
Green technology innovation is an important driving force and source to promote my country’s high-quality development,and it is the core path to achieve sustainable development.This paper uses my country’s provincia...Green technology innovation is an important driving force and source to promote my country’s high-quality development,and it is the core path to achieve sustainable development.This paper uses my country’s provincial panel data from 2016 to 2019 to study the impact mechanism of R&D investment on green technology innovation,and introduces the level of digitization,using the panel threshold model to discuss its role in the impact mechanism of R&D investment on green technology innovation.The study found that when the level of digitalization in a region is low,increasing R&D investment does not necessarily improve the ability of green technology innovation;when the level of digitalization is relatively high,R&D investment has a positive role in promoting green technology innovation.Therefore,it is necessary to improve policies to encourage enterprises to increase investment in research and development;at the same time,it is necessary to promote the coordinated development of digital foundation,digital investment,digital literacy,digital economy and digital application,and promote the deep integration of digitalization and green technology innovation.展开更多
基金supported by the National Natural Science Foundation of China(No.32071646)the National Key Research and Development Program of China(2022YFF0802400).
文摘To halt biodiversity loss,threatened species are often selected as targets for conservation actions.However,whether most threatened species receive sufficient research effort remains unknown.Low research and public attention of threatened species would hinder the implementation of effective conservation actions.Therefore,it is urgent to assess both research effort and species extinction risk simultaneously to provide critical information for targeted conservation practices.Here,we evaluated research effort of extant bird species worldwide(n 10,904)by searching the number of all publications and those focused on conservation in Scopus database fo=r each species,and investigated key determinants of research effort.We found that although the median value of publications of threatened species was significantly higher than that of non-threatened species,47.4%of threatened species had less than 3 publications,and 73.8%had less than 10 publications,indicating low research effort of most threatened species.Although research effort was positively related to extinction risk,research effort was mainly associated with human-related variables,with birds described earlier and occurred in developed regions receiving higher research effort.In comparison,extinction risk was mainly associated with biological attributes,with large-sized and narrow-distributed species being more likely to be threatened.Our finding suggests that research effort of species can provide complementary information for current conservation strategies designed for threatened species,and we urge that many recently discovered and narrowly distributed species in less developed regions require more research and conservation attention.
文摘Desalination is emerging as a promising alternative among various technologies to resolve water shortage. However, desalination requires a sufficient energy and cooling device and therefore poses limitations for its installation and application. In particular, many countries suffering water deficits are economically underdeveloped and cannot afford the technology. As this technology, which changes seawater into freshwater, has little environmental impact, developed countries will need to assist less developed countries to introduce this technology as a humanitarian effort. This will help reduce the number of countries that have experienced difficulty with development.
文摘In this study, we aimed to assess the relationship of socioeconomic status and acculturation with cardiovascular disease （CVD） risk profiles and CVD and examine the CVD risk factors associated with CVD. We used data from the 2010 China Chronic Disease and Risk Factor Surveillance surveys, which consisted of a nationally representative sample of women. The following prevalence was found： myocardial infarction （MI）：
文摘Effort estimation plays a crucial role in software development projects,aiding in resource allocation,project planning,and risk management.Traditional estimation techniques often struggle to provide accurate estimates due to the complex nature of software projects.In recent years,machine learning approaches have shown promise in improving the accuracy of effort estimation models.This study proposes a hybrid model that combines Long Short-Term Memory(LSTM)and Random Forest(RF)algorithms to enhance software effort estimation.The proposed hybrid model takes advantage of the strengths of both LSTM and RF algorithms.To evaluate the performance of the hybrid model,an extensive set of software development projects is used as the experimental dataset.The experimental results demonstrate that the proposed hybrid model outperforms traditional estimation techniques in terms of accuracy and reliability.The integration of LSTM and RF enables the model to efficiently capture temporal dependencies and non-linear interactions in the software development data.The hybrid model enhances estimation accuracy,enabling project managers and stakeholders to make more precise predictions of effort needed for upcoming software projects.
文摘Green technology innovation is an important driving force and source to promote my country’s high-quality development,and it is the core path to achieve sustainable development.This paper uses my country’s provincial panel data from 2016 to 2019 to study the impact mechanism of R&D investment on green technology innovation,and introduces the level of digitization,using the panel threshold model to discuss its role in the impact mechanism of R&D investment on green technology innovation.The study found that when the level of digitalization in a region is low,increasing R&D investment does not necessarily improve the ability of green technology innovation;when the level of digitalization is relatively high,R&D investment has a positive role in promoting green technology innovation.Therefore,it is necessary to improve policies to encourage enterprises to increase investment in research and development;at the same time,it is necessary to promote the coordinated development of digital foundation,digital investment,digital literacy,digital economy and digital application,and promote the deep integration of digitalization and green technology innovation.
