The forest coverage rate of Jiangxi Province ranks second in China.It has rich natural resources,a long history of ancient color culture and rich red culture.In the development of nature education,Jiangxi Province has...The forest coverage rate of Jiangxi Province ranks second in China.It has rich natural resources,a long history of ancient color culture and rich red culture.In the development of nature education,Jiangxi Province has great potential and advantages.This paper introduces the development conditions of nature education in Jiangxi Province,summarizes the problems existing in the development of nature education in Jiangxi Province from the aspects of the types of nature education and the construction of nature education base,such as simple content and single form,imperfect infrastructure and lack of professionals,and puts forward some suggestions on the development of nature education in Jiangxi Province.展开更多
Agricultural green development is an essential direction for global sustainable agriculture.The academic literature,however,needs to place greater emphasis on studying the factors influencing agricultural green develo...Agricultural green development is an essential direction for global sustainable agriculture.The academic literature,however,needs to place greater emphasis on studying the factors influencing agricultural green development performance and how such performance can be improved.A theoretical framework for agricultural green development performance was constructed in this paper using the Super-SBM model,which considers undesirable outputs,to measure the agricultural green development performance of 330 cities at or above the prefecture level in China(excluding Tibet Autonomous Region,Hong Kong,Macao and Taiwan of China)from 2007 to2018.Furthermore,the influencing mechanism of agricultural green development performance was then analyzed using a spatial econometric model.The results show that:1)from 2007 to 2018,China’s agricultural green development performance experienced three stages of evolution:‘rise,decline and rise’.2)The regions with high performance agricultural green development are mainly distributed in eastern China,northeastern China,and southern Qinghai Province.3)The agricultural economic level,industrialization process,and labor quality play significant roles in promoting local agricultural green development performance,while such performance is obviously inhibited by the openness level and the government’s environmental regulations.Local agricultural green development performance is significant inhibited by the agricultural economic level and accelerated industrialization process in neighboring cities,while significantly promoted by the agricultural industrial structure in neighboring cities.Some suggestions for improving agricultural green development performance are proposed based on these research results,which can provide scientific references for promoting sustainable agriculture.展开更多
Ebian spotted cattle has the ability to adapt to the local natural ecological environment,and is one of the excellent local cattle breeds in Sichuan.Ebian spotted cattle is a breed of cattle for both service and meat ...Ebian spotted cattle has the ability to adapt to the local natural ecological environment,and is one of the excellent local cattle breeds in Sichuan.Ebian spotted cattle is a breed of cattle for both service and meat use and formed through long-term natural selection and artificial selection.Because of the weak development and utilization of this breed,the economic benefits of excellent breeds have not been fully brought into play,and farmers'enthusiasm in breeding is poor,so that the number of Ebian spotted cattle has reduced year by year.In order to strengthen the protection,development and utilization of Ebian spotted cattle as a local excellent breed,combined with the third national survey of livestock and poultry genetic resources in 2021,Ebian spotted cattle was investigated,and a comprehensive,scientific and objective analysis of its population numbers was conducted.Besides,reasonable suggestions were put forward.展开更多
Through the introduction of the concept,content,conservation significance and species value of biodiversity,the cognition of the research content,analysis methods and research directions of biodiversity was deepened.I...Through the introduction of the concept,content,conservation significance and species value of biodiversity,the cognition of the research content,analysis methods and research directions of biodiversity was deepened.In view of the problems faced by biodiversity conservation at present,such as the accelerated disappearance of species,the unsound protection regulation system,the irrational spatial pattern of species protection,and the lack of long-term follow-up research,specific improvement suggestions were put forward,and have a positive guiding significance for future biodiversity conservation.展开更多
A customized nutrition-rich diet plan is of utmost importance for cancer patients to intake healthy and nutritious foods that help them to be strong enough to maintain their body weight and body tissues.Consuming nutr...A customized nutrition-rich diet plan is of utmost importance for cancer patients to intake healthy and nutritious foods that help them to be strong enough to maintain their body weight and body tissues.Consuming nutrition-rich diet foods will prevent them from the side effects caused before and after treatment thereby minimizing it.This work is proposed here to provide them with an effec-tive diet assessment plan using deep learning-based automated medical diet sys-tem.Hence,an Enhanced Long-Short Term Memory(E-LSTM)has been proposed in this paper,especially for cancer patients.This proposed method will be very useful for cancer patients as this would help them predict the foods which can be consumed by them based on the nutrition analysis of food images.The classification will be performed in E-LSTM by analyzing the two datasets,one with food images and another with cancer patients’details.Following an in-depth analysis of the major research papers concerning deep learning strategies to iden-tify the foods along with their nutrition composition,this method has been iden-tified as one of thefinest deep learning approaches that are used for classification especially.This work has been identified as thefirst work producing a new layer for feature extraction and providing nutrition suggestions,especially for cancer patients using the LSTM technique.The accuracy of prediction and classification will be improved by the dedicated layer for feature extraction in E-LSTM.Hence,it is proved that this proposed method outperforms all other existing techniques in terms of F1 Score,Precision,Recall,Classification accuracy,Training loss and Validation loss.展开更多
基金Research Project on Basic Education in Jiangxi Province(SZUNDZH2021-1136,SZUNDZH2020-1138).
文摘The forest coverage rate of Jiangxi Province ranks second in China.It has rich natural resources,a long history of ancient color culture and rich red culture.In the development of nature education,Jiangxi Province has great potential and advantages.This paper introduces the development conditions of nature education in Jiangxi Province,summarizes the problems existing in the development of nature education in Jiangxi Province from the aspects of the types of nature education and the construction of nature education base,such as simple content and single form,imperfect infrastructure and lack of professionals,and puts forward some suggestions on the development of nature education in Jiangxi Province.
基金Under the auspices of National Natural Science Foundation of China(No.41971222,42001190)Key R&D(Science and Technology)and Promotion Project of Henan Province(No.222102110420)Key Research Project of Higher Education Think Tank in Henan Province(No.2022ZKYJ06)。
文摘Agricultural green development is an essential direction for global sustainable agriculture.The academic literature,however,needs to place greater emphasis on studying the factors influencing agricultural green development performance and how such performance can be improved.A theoretical framework for agricultural green development performance was constructed in this paper using the Super-SBM model,which considers undesirable outputs,to measure the agricultural green development performance of 330 cities at or above the prefecture level in China(excluding Tibet Autonomous Region,Hong Kong,Macao and Taiwan of China)from 2007 to2018.Furthermore,the influencing mechanism of agricultural green development performance was then analyzed using a spatial econometric model.The results show that:1)from 2007 to 2018,China’s agricultural green development performance experienced three stages of evolution:‘rise,decline and rise’.2)The regions with high performance agricultural green development are mainly distributed in eastern China,northeastern China,and southern Qinghai Province.3)The agricultural economic level,industrialization process,and labor quality play significant roles in promoting local agricultural green development performance,while such performance is obviously inhibited by the openness level and the government’s environmental regulations.Local agricultural green development performance is significant inhibited by the agricultural economic level and accelerated industrialization process in neighboring cities,while significantly promoted by the agricultural industrial structure in neighboring cities.Some suggestions for improving agricultural green development performance are proposed based on these research results,which can provide scientific references for promoting sustainable agriculture.
基金Science and Technology Plan of Sichuan Province,China(2021YFYZ0001)Sichuan Beef Cattle Innovation Team of National Modern Agricultural Industrial Technology System(SCCXTD-2023-13)Special Project for Financial Operation of Sichuan Province,China。
文摘Ebian spotted cattle has the ability to adapt to the local natural ecological environment,and is one of the excellent local cattle breeds in Sichuan.Ebian spotted cattle is a breed of cattle for both service and meat use and formed through long-term natural selection and artificial selection.Because of the weak development and utilization of this breed,the economic benefits of excellent breeds have not been fully brought into play,and farmers'enthusiasm in breeding is poor,so that the number of Ebian spotted cattle has reduced year by year.In order to strengthen the protection,development and utilization of Ebian spotted cattle as a local excellent breed,combined with the third national survey of livestock and poultry genetic resources in 2021,Ebian spotted cattle was investigated,and a comprehensive,scientific and objective analysis of its population numbers was conducted.Besides,reasonable suggestions were put forward.
基金Sponsored by the Key Technology Innovation and Demonstration Project of Forest and Grass of Hebei Province(2306090)Key Research and Development Plan of Hebei Province(22327601D,20327601D)。
文摘Through the introduction of the concept,content,conservation significance and species value of biodiversity,the cognition of the research content,analysis methods and research directions of biodiversity was deepened.In view of the problems faced by biodiversity conservation at present,such as the accelerated disappearance of species,the unsound protection regulation system,the irrational spatial pattern of species protection,and the lack of long-term follow-up research,specific improvement suggestions were put forward,and have a positive guiding significance for future biodiversity conservation.
文摘A customized nutrition-rich diet plan is of utmost importance for cancer patients to intake healthy and nutritious foods that help them to be strong enough to maintain their body weight and body tissues.Consuming nutrition-rich diet foods will prevent them from the side effects caused before and after treatment thereby minimizing it.This work is proposed here to provide them with an effec-tive diet assessment plan using deep learning-based automated medical diet sys-tem.Hence,an Enhanced Long-Short Term Memory(E-LSTM)has been proposed in this paper,especially for cancer patients.This proposed method will be very useful for cancer patients as this would help them predict the foods which can be consumed by them based on the nutrition analysis of food images.The classification will be performed in E-LSTM by analyzing the two datasets,one with food images and another with cancer patients’details.Following an in-depth analysis of the major research papers concerning deep learning strategies to iden-tify the foods along with their nutrition composition,this method has been iden-tified as one of thefinest deep learning approaches that are used for classification especially.This work has been identified as thefirst work producing a new layer for feature extraction and providing nutrition suggestions,especially for cancer patients using the LSTM technique.The accuracy of prediction and classification will be improved by the dedicated layer for feature extraction in E-LSTM.Hence,it is proved that this proposed method outperforms all other existing techniques in terms of F1 Score,Precision,Recall,Classification accuracy,Training loss and Validation loss.
