The innovation competence of K-12 education teachers undoubtedly plays a crucial role in fostering the innovation abilities of their students.K-12 mathematics education equips students with the critical thinking and p...The innovation competence of K-12 education teachers undoubtedly plays a crucial role in fostering the innovation abilities of their students.K-12 mathematics education equips students with the critical thinking and problem-solving skills essential for their future studies in colleges and universities,helping them grasp complex techniques to address challenges in everyday life and their careers.Therefore,it is of great significance to study strategies for improving the innovation competence of college students majoring in Mathematics Education,as they will likely become K-12 education mathematics teachers directly after graduating from colleges or universities.In this paper,we study strategies for enhancing the innovation competence of college students majoring in Mathematics Education through curriculum optimization.We analyze and explain in detail the importance of innovation competence for college students majoring in Mathematics Education and the difficulties encountered in enhancing college students’innovation competence.With the help of the analysis of the importance and challenges of enhancing college students’innovation competence,we propose several strategies to improve the innovation competence of college students majoring in Mathematics Education based on curriculum optimization.The findings presented in this paper can be applied to develop strategies for college students majoring in Physics and Chemistry Education.展开更多
Since the outbreak of the COVID-19,various regions of China have been rapidly deployed under the leadership of the Central Committee of the Party to actively prevent and control the COVID-19.The rural areas of my coun...Since the outbreak of the COVID-19,various regions of China have been rapidly deployed under the leadership of the Central Committee of the Party to actively prevent and control the COVID-19.The rural areas of my country have weak links to the prevention and management of public health emergencies.Problems include lack of medical and health resources and farmers’low awareness of epidemic prevention.Situations that correspond to the prevention and management of the COVID-19 are more serious.As the patient’s first contact and“gatekeeper”in the fight against the epidemic,the general practitioner is responsible for the“first visit-subsequent ongoing intervention”.This article is about the prevention and control of the COVID-19 epidemics and epidemic prevention in terms of dissemination of knowledge,informed crowd control,joint prevention and control,and standardized management of people.This is a summary of the efforts of general practitioners.Quarantine at home,interactive referrals to medical consortiums,special care for contracted families.The function during the management period aims to analyze the role played by general practitioners during the epidemic and to provide new ideas for the prevention and management of the epidemic.Provide more targeted general practitioner-style services in rural areas to promote the implementation and improvement of health and poverty alleviation.The health level of the rural population provides a theoretical standard.展开更多
高清图像(高分辨率图像)前景遮罩提取问题是图像合成、自动前景提取等图像处理领域的热点难题,其本质是前景背景像素对的大规模组合优化问题,目前相关研究成果较少.本文针对问题维度过高难以直接求解这一问题,设计了基于RGB聚类的多类...高清图像(高分辨率图像)前景遮罩提取问题是图像合成、自动前景提取等图像处理领域的热点难题,其本质是前景背景像素对的大规模组合优化问题,目前相关研究成果较少.本文针对问题维度过高难以直接求解这一问题,设计了基于RGB聚类的多类协同优化策略,以实现决策空间的有效降维;给出协同目标反馈的分组优化策略,通过将协同目标中的最优前景背景像素对作为启发式信息反馈给每个分组,实现大规模组合优化问题的分组协同求解.在分组优化策略的基础上,论文提出了基于分组协同的群体竞争优化算法(competitive swarm optimization algorithm based on group collaboration,GC-CSO),为高维优化问题分析提供了借鉴.为了验证所提方法的有效性,本文选用alpha matting基准数据集作为测试数据,通过与群体竞争优化算法、典型带分组策略的大规模优化算法进行对比分析,验证了:(1)基于RGB聚类的协同优化策略可以显著地降低问题维度;(2) GC-CSO算法提高了高清图像前景遮罩的提取精度.展开更多
A new micro-spherical conjugated macrocycle polymer(P[5]-TFB-CMP)was prepared by the condensation reaction between dihydrazide functionalized pillar[5]arene and 1,3,5-triformylbenzene under ambient conditions.P[5]-TFB...A new micro-spherical conjugated macrocycle polymer(P[5]-TFB-CMP)was prepared by the condensation reaction between dihydrazide functionalized pillar[5]arene and 1,3,5-triformylbenzene under ambient conditions.P[5]-TFB-CMP exhibits large surface area with excellent thermal stability and has been used as additive to prepare composite PMMA film of photochromic naphthopyrans.The results showed that the addition of P[5]-TFB-CMP could dramatically accelerate the thermal fading rate of the photochromic composite film by up to 12 times.This is a new strategy to overcome the drawback of the matrix effect.展开更多
Finger vein biometrics have been extensively studied for the capability to detect aliveness,and the high security as intrinsic traits.However,vein pattern distortion caused by finger rotation degrades the performance ...Finger vein biometrics have been extensively studied for the capability to detect aliveness,and the high security as intrinsic traits.However,vein pattern distortion caused by finger rotation degrades the performance of CNN in 2D finger vein recognition,especially in a contactless mode.To address the finger posture variation problem,we propose a 3D finger vein verification system extracting axial rotation invariant feature.An efficient 3D finger vein reconstruction optimization model is proposed and several accelerating strategies are adopted to achieve real-time 3D reconstruction on an embedded platform.The main contribution in this paper is that we are the first to propose a novel 3D point-cloud-based endto-end neural network to extract deep axial rotation invariant feature,namely 3DFVSNet.In the network,the rotation problem is transformed to a permutation problem with the help of specially designed rotation groups.Finally,to validate the performance of the proposed network more rigorously and enrich the database resources for the finger vein recognition community,we built the largest publicly available 3D finger vein dataset with different degrees of finger rotation,namely the Large-scale Finger Multi-Biometric Database-3D Pose Varied Finger Vein(SCUT LFMB-3DPVFV)Dataset.Experimental results on 3D finger vein datasets show that our 3DFVSNet holds strong robustness against axial rotation compared to other approaches.展开更多
基金Innovation and Entrepreneurship Education Reform Research Program of Suqian University(2023cxcy08)Startup Foundation for Newly Recruited Employees and the Xichu Talents Foundation of Suqian University(2022XRC033)+4 种基金Professional Certification Oriented Teaching Reform Research Special Program of Suqian University(2023ZYRZ04)Qing Lan Project of Jiangsu“High Quality Public Course Teaching Reform”Special Program for Colleges and Universities of Jiangsu(2022JDKT106)Higher Education Reform Research Project of Jiangsu(2023JSJG718)Higher Education Scientific Research Planning Project of the Higher Education Association of China(23SX0203)。
文摘The innovation competence of K-12 education teachers undoubtedly plays a crucial role in fostering the innovation abilities of their students.K-12 mathematics education equips students with the critical thinking and problem-solving skills essential for their future studies in colleges and universities,helping them grasp complex techniques to address challenges in everyday life and their careers.Therefore,it is of great significance to study strategies for improving the innovation competence of college students majoring in Mathematics Education,as they will likely become K-12 education mathematics teachers directly after graduating from colleges or universities.In this paper,we study strategies for enhancing the innovation competence of college students majoring in Mathematics Education through curriculum optimization.We analyze and explain in detail the importance of innovation competence for college students majoring in Mathematics Education and the difficulties encountered in enhancing college students’innovation competence.With the help of the analysis of the importance and challenges of enhancing college students’innovation competence,we propose several strategies to improve the innovation competence of college students majoring in Mathematics Education based on curriculum optimization.The findings presented in this paper can be applied to develop strategies for college students majoring in Physics and Chemistry Education.
基金Innovation and Entrepreneurship Training Program of Sichuan University Students,fund number:S202010634125.
文摘Since the outbreak of the COVID-19,various regions of China have been rapidly deployed under the leadership of the Central Committee of the Party to actively prevent and control the COVID-19.The rural areas of my country have weak links to the prevention and management of public health emergencies.Problems include lack of medical and health resources and farmers’low awareness of epidemic prevention.Situations that correspond to the prevention and management of the COVID-19 are more serious.As the patient’s first contact and“gatekeeper”in the fight against the epidemic,the general practitioner is responsible for the“first visit-subsequent ongoing intervention”.This article is about the prevention and control of the COVID-19 epidemics and epidemic prevention in terms of dissemination of knowledge,informed crowd control,joint prevention and control,and standardized management of people.This is a summary of the efforts of general practitioners.Quarantine at home,interactive referrals to medical consortiums,special care for contracted families.The function during the management period aims to analyze the role played by general practitioners during the epidemic and to provide new ideas for the prevention and management of the epidemic.Provide more targeted general practitioner-style services in rural areas to promote the implementation and improvement of health and poverty alleviation.The health level of the rural population provides a theoretical standard.
文摘高清图像(高分辨率图像)前景遮罩提取问题是图像合成、自动前景提取等图像处理领域的热点难题,其本质是前景背景像素对的大规模组合优化问题,目前相关研究成果较少.本文针对问题维度过高难以直接求解这一问题,设计了基于RGB聚类的多类协同优化策略,以实现决策空间的有效降维;给出协同目标反馈的分组优化策略,通过将协同目标中的最优前景背景像素对作为启发式信息反馈给每个分组,实现大规模组合优化问题的分组协同求解.在分组优化策略的基础上,论文提出了基于分组协同的群体竞争优化算法(competitive swarm optimization algorithm based on group collaboration,GC-CSO),为高维优化问题分析提供了借鉴.为了验证所提方法的有效性,本文选用alpha matting基准数据集作为测试数据,通过与群体竞争优化算法、典型带分组策略的大规模优化算法进行对比分析,验证了:(1)基于RGB聚类的协同优化策略可以显著地降低问题维度;(2) GC-CSO算法提高了高清图像前景遮罩的提取精度.
基金financially supported by Natural Science Foundation of Tianjin(No.18JCYBJC20700)the 111 Project(No.B12015)。
文摘A new micro-spherical conjugated macrocycle polymer(P[5]-TFB-CMP)was prepared by the condensation reaction between dihydrazide functionalized pillar[5]arene and 1,3,5-triformylbenzene under ambient conditions.P[5]-TFB-CMP exhibits large surface area with excellent thermal stability and has been used as additive to prepare composite PMMA film of photochromic naphthopyrans.The results showed that the addition of P[5]-TFB-CMP could dramatically accelerate the thermal fading rate of the photochromic composite film by up to 12 times.This is a new strategy to overcome the drawback of the matrix effect.
文摘Finger vein biometrics have been extensively studied for the capability to detect aliveness,and the high security as intrinsic traits.However,vein pattern distortion caused by finger rotation degrades the performance of CNN in 2D finger vein recognition,especially in a contactless mode.To address the finger posture variation problem,we propose a 3D finger vein verification system extracting axial rotation invariant feature.An efficient 3D finger vein reconstruction optimization model is proposed and several accelerating strategies are adopted to achieve real-time 3D reconstruction on an embedded platform.The main contribution in this paper is that we are the first to propose a novel 3D point-cloud-based endto-end neural network to extract deep axial rotation invariant feature,namely 3DFVSNet.In the network,the rotation problem is transformed to a permutation problem with the help of specially designed rotation groups.Finally,to validate the performance of the proposed network more rigorously and enrich the database resources for the finger vein recognition community,we built the largest publicly available 3D finger vein dataset with different degrees of finger rotation,namely the Large-scale Finger Multi-Biometric Database-3D Pose Varied Finger Vein(SCUT LFMB-3DPVFV)Dataset.Experimental results on 3D finger vein datasets show that our 3DFVSNet holds strong robustness against axial rotation compared to other approaches.