基于对联邦政府要求提高教师质量,促进教师专业发展,美国每个州和学区都构建出各自的教师评价体系以响应政策。弗吉尼亚州费尔法克斯郡公立学校(Fairfax County Public Schools)于2013年8月出台了最新的《教师表现性评价手册》(Teacher ...基于对联邦政府要求提高教师质量,促进教师专业发展,美国每个州和学区都构建出各自的教师评价体系以响应政策。弗吉尼亚州费尔法克斯郡公立学校(Fairfax County Public Schools)于2013年8月出台了最新的《教师表现性评价手册》(Teacher Performance Evaluation Handbook),强调评价标准的多样化,为教师专业发展提供持续性帮助,并建构独特的教师表现评价程序。对该表现性评价手册的解读,有助于了解美国教师评价发展的新动态,以期为完善我国教师评价模式提供有益借鉴。展开更多
Butech Bliss公司与尼尔森钢铁咨询与技术集团（Nelson Steel Consulting＆Technology Group）将为Fulton County Processing公司（FCP）新建1条盐酸推拉式酸洗生产线，并计划于2014年末投产。FCP公司是一家先进的带卷加工企业，总部位...Butech Bliss公司与尼尔森钢铁咨询与技术集团（Nelson Steel Consulting＆Technology Group）将为Fulton County Processing公司（FCP）新建1条盐酸推拉式酸洗生产线，并计划于2014年末投产。FCP公司是一家先进的带卷加工企业，总部位于美国俄亥俄州Delta市，毗邻北极星博思格钢铁公司（North Star Blue—Scope）。展开更多
Retinal diseases are a serious threat to human visual health and their early diagnosis is crucial.Currently,most of the retinal disease diagnostic algorithms are based on a single imaging modality of fundus color phot...Retinal diseases are a serious threat to human visual health and their early diagnosis is crucial.Currently,most of the retinal disease diagnostic algorithms are based on a single imaging modality of fundus color photography(FCP)or optical coherence tomography(OCT).These methods can only reflect retinal diseases to a certain extent,ignoring the speci ficity of modalities between different imaging modalities.In this research,a newmulti-scale feature fusion network(MSFF-Net)model for multi-modal retinal image diagnosis is proposed.The MSFF-Net model employs a dualbranch architecture design,enabling efficient learning and extraction of multi-modal feature information related to retinal diseases from CFP and OCT images.MSFF-Net improves disease diagnosis by combining multi-scale features of CFP and OCT images.When evaluated on challenging datasets,the model achieved an accuracy of 95.00%and an F1-score of 95.24%for retinal disease diagnosis.Even under low-quality dataset conditions,it maintained robust performance,with diagnostic accuracy and F1-scores of 71.50%and 71.73%,respectively.In addition,the MSFFNet model outperformed eight state-of-the-art single and multi-modal models in the comparison experiments.The proposed MSFF-Net model provides ophthalmologists with a more accurate and efficient diagnostic pathway that helps them detect and treat retinal diseases earlier.展开更多
文摘基于对联邦政府要求提高教师质量,促进教师专业发展,美国每个州和学区都构建出各自的教师评价体系以响应政策。弗吉尼亚州费尔法克斯郡公立学校(Fairfax County Public Schools)于2013年8月出台了最新的《教师表现性评价手册》(Teacher Performance Evaluation Handbook),强调评价标准的多样化,为教师专业发展提供持续性帮助,并建构独特的教师表现评价程序。对该表现性评价手册的解读,有助于了解美国教师评价发展的新动态,以期为完善我国教师评价模式提供有益借鉴。
文摘Butech Bliss公司与尼尔森钢铁咨询与技术集团（Nelson Steel Consulting＆Technology Group）将为Fulton County Processing公司（FCP）新建1条盐酸推拉式酸洗生产线，并计划于2014年末投产。FCP公司是一家先进的带卷加工企业，总部位于美国俄亥俄州Delta市，毗邻北极星博思格钢铁公司（North Star Blue—Scope）。
基金supported by the National Natural Science Foundation of China(Nos.82472104 and U24B2053)the Natural Science Basic Research Program of Shaanxi(No.2025JC-JCQN-023)+2 种基金the Key Core Technology Research and Development of Shaanxi(No.2024QY2-GJHX-03)the Innovation Capability Support Program of Shaanxi(Program No.2023-CX-TD-54)the Xidian University Specially Funded Project for Interdisciplinary Exploration(No.TZJHF202510).
文摘Retinal diseases are a serious threat to human visual health and their early diagnosis is crucial.Currently,most of the retinal disease diagnostic algorithms are based on a single imaging modality of fundus color photography(FCP)or optical coherence tomography(OCT).These methods can only reflect retinal diseases to a certain extent,ignoring the speci ficity of modalities between different imaging modalities.In this research,a newmulti-scale feature fusion network(MSFF-Net)model for multi-modal retinal image diagnosis is proposed.The MSFF-Net model employs a dualbranch architecture design,enabling efficient learning and extraction of multi-modal feature information related to retinal diseases from CFP and OCT images.MSFF-Net improves disease diagnosis by combining multi-scale features of CFP and OCT images.When evaluated on challenging datasets,the model achieved an accuracy of 95.00%and an F1-score of 95.24%for retinal disease diagnosis.Even under low-quality dataset conditions,it maintained robust performance,with diagnostic accuracy and F1-scores of 71.50%and 71.73%,respectively.In addition,the MSFFNet model outperformed eight state-of-the-art single and multi-modal models in the comparison experiments.The proposed MSFF-Net model provides ophthalmologists with a more accurate and efficient diagnostic pathway that helps them detect and treat retinal diseases earlier.
