Agroecological practices are promoted as a more proactive approach than conventional agriculture to achieving a collective global response to climate change and variability while building robust and resilient agricult...Agroecological practices are promoted as a more proactive approach than conventional agriculture to achieving a collective global response to climate change and variability while building robust and resilient agricultural systems to meet food needs and protect the integrity of ecosystems.There is relatively limited evidence on the key traditional agroecological knowledge and practices adopted by smallholder farmers,the factors that influence smallholder farmers’decision to adopt these practices,and the opportunities it presents for building resilient agricultural systems.Using a multi-scale mixed method approach,we conducted key informant interviews(n=12),focus group discussions(n=5),and questionnaire surveys(N=220)to explore the traditional agroecological knowledge and practices,the influencing factors,and the opportunities smallholder farmers presented for achieving resilient agricultural systems.Our findings suggest that smallholder farmers employ a suite of traditional agroecological knowledge and practices to enhance food security,combat climate change,and build resilient agricultural systems.The most important traditional agroecological knowledge and practices in the study area comprise cultivating leguminous crops,mixed crop-livestock systems,and crop rotation,with Relative Importance Index(RII)values of 0.710,0.708,and 0.695,respectively.It is reported that the choice of these practices by smallholder farmers is influenced by their own farming experience,access to market,access to local resources,information,and expertise,and the perceived risk of climate change.Moreover,the results further show that improving household food security and nutrition,improving soil quality,control of pest and disease infestation,and support from NonGovernmental Organizations(NGOs)and local authorities are opportunities for smallholder farmers in adopting traditional agroecological knowledge and practices for achieving resilient agricultural systems.The findings call into question the need for stakeholders and policy-makers at all levels to develop capacity and increase the awareness of traditional agroecological knowledge and practices as mechanisms to ensure resilient agricultural systems for sustainable food security.展开更多
This study constructs a theoretical model integrating traditional cultural ecological wisdom into STEAM education,exploring a new interpretation of the“unity of knowledge and action”concept in modern education.Resea...This study constructs a theoretical model integrating traditional cultural ecological wisdom into STEAM education,exploring a new interpretation of the“unity of knowledge and action”concept in modern education.Research shows that incorporating traditional ecological wisdom,such as the harmony between humanity and nature and following the laws of nature,into STEAM education’s curriculum,teaching methods,and practical activities can significantly enhance students’interdisciplinary knowledge,practical abilities,and environmental awareness.Through data simulation and empirical analysis,the model’s effectiveness is confirmed,demonstrating its significant advantages in improving students’overall quality and cultivating talents with global perspectives and local sentiments.Innovatively,this study bridges traditional cultural ecological wisdom and STEAM education with“unity of knowledge and action,”offering new insights for educational reform.展开更多
Many companies like credit card, insurance, bank, retail industry require direct marketing. Data mining can help those institutes to set marketing goal. Data mining techniques have good prospects in their target audie...Many companies like credit card, insurance, bank, retail industry require direct marketing. Data mining can help those institutes to set marketing goal. Data mining techniques have good prospects in their target audiences and improve the likelihood of response. In this work we have investigated two data mining techniques: the Naive Bayes and the C4.5 decision tree algorithms. The goal of this work is to predict whether a client will subscribe a term deposit. We also made comparative study of performance of those two algorithms. Publicly available UCI data is used to train and test the performance of the algorithms. Besides, we extract actionable knowledge from decision tree that focuses to take interesting and important decision in business area.展开更多
In this paper we investigate the effectiveness of ensemble-based learners for web robot session identification from web server logs. We also perform multi fold robot session labeling to improve the performance of lear...In this paper we investigate the effectiveness of ensemble-based learners for web robot session identification from web server logs. We also perform multi fold robot session labeling to improve the performance of learner. We conduct a comparative study for various ensemble methods (Bagging, Boosting, and Voting) with simple classifiers in perspective of classification. We also evaluate the effectiveness of these classifiers (both ensemble and simple) on five different data sets of varying session length. Presently the results of web server log analyzers are not very much reliable because the input log files are highly inflated by sessions of automated web traverse software’s, known as web robots. Presence of web robots access traffic entries in web server log repositories imposes a great challenge to extract any actionable and usable knowledge about browsing behavior of actual visitors. So web robots sessions need accurate and fast detection from web server log repositories to extract knowledge about genuine visitors and to produce correct results of log analyzers.展开更多
In this paper, the authors outline a formal system for reasoning about agents＇ knowledge in knowledge games-a special type of multi-agent system. Knowledge games are card games where the agents＇ actions involve an e...In this paper, the authors outline a formal system for reasoning about agents＇ knowledge in knowledge games-a special type of multi-agent system. Knowledge games are card games where the agents＇ actions involve an exchange of information with other agents in the game. The authors＇ system is modeled using Coq-a formal proof management system. To the best of the authors＂ knowledge, there are no papers in which knowledge games are considered using a Coq proof assistant. The authors use the dynamic logic of common knowledge, where they particularly focus on the epistemic consequences of epistemic actions carried out by agents. The authors observe the changes in the system that result from such actions. Those changes that can occur in such a system that are of interest to the authors take the form of agents＇ knowledge about the state of the system, knowledge about other agents＇ knowledge, higher-order agents＇ knowledge and so on, up to common knowledge. Besides an axiomatic ofepistemic logic, the authors use a known axiomatization of card games that is extended with some new axioms that are required for the authors＇ approach. Due to a deficit in implementations grounded in theory that enable players to compute their knowledge in any state of the game, the authors show how the authors＇ approach can be used for these purposes.展开更多
To alleviate the information overload in the product design process,this work proposes a multiaction-based method for constructing knowledge map. Since the relationships of knowledge are implicit in the collected user...To alleviate the information overload in the product design process,this work proposes a multiaction-based method for constructing knowledge map. Since the relationships of knowledge are implicit in the collected user activities,the method calculates the similarity according to the collected user activities.Three concepts,including knowledge,action and user,are explained first. Based on this,the similarity calculation method is illustrated in detail. The dependencies of actions and relations of the user are considered in the calculation method. Further,the approach of applying the constructed knowledge map to alleviate information overload is proposed. At last,the proposed method is validated by a knowledge search and result comparison experiment.展开更多
Objective:to investigate the current situation of insulin injection provided by clinical nurses under KAP(Knowledge-Attitude-Practice)model on Linzhi,Tibet,and to discuss and analyse the influence factors.Methods:usin...Objective:to investigate the current situation of insulin injection provided by clinical nurses under KAP(Knowledge-Attitude-Practice)model on Linzhi,Tibet,and to discuss and analyse the influence factors.Methods:using a selfdesign questionnaire a questionnaire about the current situation of insulin injection provided by clinical nurses under KAP model on Linzhi,Tibet to investigate 268 clinical nurses in Linzhi,Tibet,who were chosen through random sampling method,in order to analyse the‘KAP’scoring and the influencing factors.Results:The scoring of‘Knowledge’is(65.642±10.313),the scoring of‘Attitude’is(55.478±8.099),the scoring of‘Practice’is(42.493±6.647),the total scoring is(163.612±19.292).The related influence factors,including hospital,department,academic credentials,professional qualifications and whether receiving diabetes specialized training,have statistical significance(P value<0.5).Conclusion:The KAP of insulin injection provided by clinical nurses in Linzhi,Tibet is on middle level.For nursing managers,it is strongly advised that a normative.展开更多
Short video applications like Tik Tok have seen significant growth in recent years.One common behavior of users on these platforms is watching and swiping through videos,which can lead to a significant waste of bandwi...Short video applications like Tik Tok have seen significant growth in recent years.One common behavior of users on these platforms is watching and swiping through videos,which can lead to a significant waste of bandwidth.As such,an important challenge in short video streaming is to design a preloading algorithm that can effectively decide which videos to download,at what bitrate,and when to pause the download in order to reduce bandwidth waste while improving the Quality of Experience(QoE).However,designing such an algorithm is non-trivial,especially when considering the conflicting objectives of minimizing bandwidth waste and maximizing QoE.In this paper,we propose an end-to-end Deep reinforcement learning framework with Action Masking called DAM that leverages domain knowledge to learn an optimal policy for short video preloading.To achieve this,we introduce a reward shaping technique to minimize bandwidth waste and use action masking to make actions more reasonable,reduce playback rebuffering,and accelerate the training process.We have conducted extensive experiments using real-world video datasets and network traces including 4G/Wi Fi/5G.Our results show that DAM improves the Qo E score by 3.73%-11.28%compared to state-of-the-art algorithms,and achieves an average bandwidth waste of only 10.27%-12.07%,outperforming all baseline methods.展开更多
以专利引证网络为载体,从知识基因稳定性、遗传性以及变异性等基本特征出发,提出一种基于subject-action-object三元组的知识基因提取方法.应用连接度算法分析专利引证关系,挖掘引证专利和被引专利之间继承和发展的知识流,建立知识进化...以专利引证网络为载体,从知识基因稳定性、遗传性以及变异性等基本特征出发,提出一种基于subject-action-object三元组的知识基因提取方法.应用连接度算法分析专利引证关系,挖掘引证专利和被引专利之间继承和发展的知识流,建立知识进化轨迹;利用文本语法分析技术,从专利权利要求书中提取subject-action-object三元组;基于语义词库WordNet进行语义加工,计算语义相似度,合并同义的subject-action-object三元组,绘制知识基因图谱.从美国专利数据库中采集了5 073项1975—1999年授权的数据挖掘领域的相关专利,分析了专利的地区分布情况和年度分布情况.从NBER(National Bureau of Economic Research)的专利数据集中查询得到专利引证关系,利用网络分析软件Pajek构建专利引证网络,作为实验数据样本,对所提出的知识基因提取方法进行验证.实验结果表明:所提取的subject-action-object三元组具备了知识基因稳定性、遗传性和变异性等特征,可以作为知识基因的一种表现形式.展开更多
文摘Agroecological practices are promoted as a more proactive approach than conventional agriculture to achieving a collective global response to climate change and variability while building robust and resilient agricultural systems to meet food needs and protect the integrity of ecosystems.There is relatively limited evidence on the key traditional agroecological knowledge and practices adopted by smallholder farmers,the factors that influence smallholder farmers’decision to adopt these practices,and the opportunities it presents for building resilient agricultural systems.Using a multi-scale mixed method approach,we conducted key informant interviews(n=12),focus group discussions(n=5),and questionnaire surveys(N=220)to explore the traditional agroecological knowledge and practices,the influencing factors,and the opportunities smallholder farmers presented for achieving resilient agricultural systems.Our findings suggest that smallholder farmers employ a suite of traditional agroecological knowledge and practices to enhance food security,combat climate change,and build resilient agricultural systems.The most important traditional agroecological knowledge and practices in the study area comprise cultivating leguminous crops,mixed crop-livestock systems,and crop rotation,with Relative Importance Index(RII)values of 0.710,0.708,and 0.695,respectively.It is reported that the choice of these practices by smallholder farmers is influenced by their own farming experience,access to market,access to local resources,information,and expertise,and the perceived risk of climate change.Moreover,the results further show that improving household food security and nutrition,improving soil quality,control of pest and disease infestation,and support from NonGovernmental Organizations(NGOs)and local authorities are opportunities for smallholder farmers in adopting traditional agroecological knowledge and practices for achieving resilient agricultural systems.The findings call into question the need for stakeholders and policy-makers at all levels to develop capacity and increase the awareness of traditional agroecological knowledge and practices as mechanisms to ensure resilient agricultural systems for sustainable food security.
基金Interim Research Findings of the 2024 Major Project on Jiayou Culture Construction at Minzu Normal University of Xingyi:“Igniting the Flame of Motivation in the Intelligent Era:An Interdisciplinary Research Integrating Jiaoyou Culture with Artificial Intelligence Technology”(Project No.24JYZDA01)Guizhou Provincial Philosophy and Social Science Innovation Team:Xingyi Normal University for Nationalities’Research on Ecological Education System under the Grand Ecological Strategy(Project No.CXTD2023075):Interim Research Achievement.
文摘This study constructs a theoretical model integrating traditional cultural ecological wisdom into STEAM education,exploring a new interpretation of the“unity of knowledge and action”concept in modern education.Research shows that incorporating traditional ecological wisdom,such as the harmony between humanity and nature and following the laws of nature,into STEAM education’s curriculum,teaching methods,and practical activities can significantly enhance students’interdisciplinary knowledge,practical abilities,and environmental awareness.Through data simulation and empirical analysis,the model’s effectiveness is confirmed,demonstrating its significant advantages in improving students’overall quality and cultivating talents with global perspectives and local sentiments.Innovatively,this study bridges traditional cultural ecological wisdom and STEAM education with“unity of knowledge and action,”offering new insights for educational reform.
文摘Many companies like credit card, insurance, bank, retail industry require direct marketing. Data mining can help those institutes to set marketing goal. Data mining techniques have good prospects in their target audiences and improve the likelihood of response. In this work we have investigated two data mining techniques: the Naive Bayes and the C4.5 decision tree algorithms. The goal of this work is to predict whether a client will subscribe a term deposit. We also made comparative study of performance of those two algorithms. Publicly available UCI data is used to train and test the performance of the algorithms. Besides, we extract actionable knowledge from decision tree that focuses to take interesting and important decision in business area.
文摘In this paper we investigate the effectiveness of ensemble-based learners for web robot session identification from web server logs. We also perform multi fold robot session labeling to improve the performance of learner. We conduct a comparative study for various ensemble methods (Bagging, Boosting, and Voting) with simple classifiers in perspective of classification. We also evaluate the effectiveness of these classifiers (both ensemble and simple) on five different data sets of varying session length. Presently the results of web server log analyzers are not very much reliable because the input log files are highly inflated by sessions of automated web traverse software’s, known as web robots. Presence of web robots access traffic entries in web server log repositories imposes a great challenge to extract any actionable and usable knowledge about browsing behavior of actual visitors. So web robots sessions need accurate and fast detection from web server log repositories to extract knowledge about genuine visitors and to produce correct results of log analyzers.
文摘In this paper, the authors outline a formal system for reasoning about agents＇ knowledge in knowledge games-a special type of multi-agent system. Knowledge games are card games where the agents＇ actions involve an exchange of information with other agents in the game. The authors＇ system is modeled using Coq-a formal proof management system. To the best of the authors＂ knowledge, there are no papers in which knowledge games are considered using a Coq proof assistant. The authors use the dynamic logic of common knowledge, where they particularly focus on the epistemic consequences of epistemic actions carried out by agents. The authors observe the changes in the system that result from such actions. Those changes that can occur in such a system that are of interest to the authors take the form of agents＇ knowledge about the state of the system, knowledge about other agents＇ knowledge, higher-order agents＇ knowledge and so on, up to common knowledge. Besides an axiomatic ofepistemic logic, the authors use a known axiomatization of card games that is extended with some new axioms that are required for the authors＇ approach. Due to a deficit in implementations grounded in theory that enable players to compute their knowledge in any state of the game, the authors show how the authors＇ approach can be used for these purposes.
基金Supported by the National Natural Science Foundation of China(51375049)National Defense Basic Scientific Research(A222011A222013)
文摘To alleviate the information overload in the product design process,this work proposes a multiaction-based method for constructing knowledge map. Since the relationships of knowledge are implicit in the collected user activities,the method calculates the similarity according to the collected user activities.Three concepts,including knowledge,action and user,are explained first. Based on this,the similarity calculation method is illustrated in detail. The dependencies of actions and relations of the user are considered in the calculation method. Further,the approach of applying the constructed knowledge map to alleviate information overload is proposed. At last,the proposed method is validated by a knowledge search and result comparison experiment.
文摘Objective:to investigate the current situation of insulin injection provided by clinical nurses under KAP(Knowledge-Attitude-Practice)model on Linzhi,Tibet,and to discuss and analyse the influence factors.Methods:using a selfdesign questionnaire a questionnaire about the current situation of insulin injection provided by clinical nurses under KAP model on Linzhi,Tibet to investigate 268 clinical nurses in Linzhi,Tibet,who were chosen through random sampling method,in order to analyse the‘KAP’scoring and the influencing factors.Results:The scoring of‘Knowledge’is(65.642±10.313),the scoring of‘Attitude’is(55.478±8.099),the scoring of‘Practice’is(42.493±6.647),the total scoring is(163.612±19.292).The related influence factors,including hospital,department,academic credentials,professional qualifications and whether receiving diabetes specialized training,have statistical significance(P value<0.5).Conclusion:The KAP of insulin injection provided by clinical nurses in Linzhi,Tibet is on middle level.For nursing managers,it is strongly advised that a normative.
基金supported by the National Key Research and Development Program of China(No.2021YFF0900503)partly by the National Natural Science Foundation of China(No.62262018,61971382)。
文摘Short video applications like Tik Tok have seen significant growth in recent years.One common behavior of users on these platforms is watching and swiping through videos,which can lead to a significant waste of bandwidth.As such,an important challenge in short video streaming is to design a preloading algorithm that can effectively decide which videos to download,at what bitrate,and when to pause the download in order to reduce bandwidth waste while improving the Quality of Experience(QoE).However,designing such an algorithm is non-trivial,especially when considering the conflicting objectives of minimizing bandwidth waste and maximizing QoE.In this paper,we propose an end-to-end Deep reinforcement learning framework with Action Masking called DAM that leverages domain knowledge to learn an optimal policy for short video preloading.To achieve this,we introduce a reward shaping technique to minimize bandwidth waste and use action masking to make actions more reasonable,reduce playback rebuffering,and accelerate the training process.We have conducted extensive experiments using real-world video datasets and network traces including 4G/Wi Fi/5G.Our results show that DAM improves the Qo E score by 3.73%-11.28%compared to state-of-the-art algorithms,and achieves an average bandwidth waste of only 10.27%-12.07%,outperforming all baseline methods.
文摘以专利引证网络为载体,从知识基因稳定性、遗传性以及变异性等基本特征出发,提出一种基于subject-action-object三元组的知识基因提取方法.应用连接度算法分析专利引证关系,挖掘引证专利和被引专利之间继承和发展的知识流,建立知识进化轨迹;利用文本语法分析技术,从专利权利要求书中提取subject-action-object三元组;基于语义词库WordNet进行语义加工,计算语义相似度,合并同义的subject-action-object三元组,绘制知识基因图谱.从美国专利数据库中采集了5 073项1975—1999年授权的数据挖掘领域的相关专利,分析了专利的地区分布情况和年度分布情况.从NBER(National Bureau of Economic Research)的专利数据集中查询得到专利引证关系,利用网络分析软件Pajek构建专利引证网络,作为实验数据样本,对所提出的知识基因提取方法进行验证.实验结果表明:所提取的subject-action-object三元组具备了知识基因稳定性、遗传性和变异性等特征,可以作为知识基因的一种表现形式.
