Results 161 to 170 of about 5,321,227 (264)

State Board of Education of Ohio annual report

, 2008
Electronic coverage as of Dec.
Ohio. State Board of Education.
core  

Metal‐dependent regulated cell death: Molecular architecture and translational frontiers

iMeta, EarlyView.
Intracellular metal dyshomeostasis orchestrates distinct regulated cell death programs, including iron‐driven ferroptosis, copper‐mediated cuproptosis, calcicoptosis, newly designated zincoptosis, mnoptosis, and coptosis. This review systematically delineates their molecular architectures—spanning from Sorafenib‐induced lipid peroxidation and ...
Haoliang Hu, Zhe Chen, Yaqi Li, Jiayi Peng, Jiangang Cao, Hong Zhou, Mengqi Wang, Yuejia Du, Hailin Wu, Huiqin Zhao, Shifang Huang, Dianmei Yu, Meiqing Liu, Olga V. Shevchenko, Natalia Yu. Matveeva, Yiyuan Yang, Kerui Huang, Deguan Lv, Junxia Min, Linxi Chen, Fudi Wang   +20 more
wiley   +1 more source

Knowledge, Attitude, and Performance Among First High School Students in the Prevention of COVID-19 in Schools of Khorramabad City in 2022. [PDF]

Interdiscip Perspect Infect Dis
Apsham S, Pajouhi A, Zare S, Karimi AM, Shakib P, Jafrasteh A.   +5 more
europepmc   +1 more source

Fall enrollment in higher education.

Mode of access: Internet.Continues: National Center for Education Statistics.
National Center for Education Statistics.
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From vision to reality, transforming PK-12 education in Ohio

, 2008
Electronic coverage as of Dec. 23, 2009: 2006/2007-; Some reports also have a distinctive title.; Latest issue consulted: 2007/2008.; Description based on: 2006/2007; title from PDF cover (viewed on Dec. 23, 2009)
Ohio. State Board of Education.
core  

Spatial omics in the AI era: Technologies, algorithmic ecosystems, biological applications, and large model perspectives

iMeta, EarlyView.
This review focuses on spatial omics, covering the introduction and comparison of technology platforms, explanation and recommendation of algorithm ecology, demonstration of biological applications, and prospect of large models. It aims to help researchers in the interdisciplinary field of spatial omics quickly understand the current situation and ...
Haoxiu Wang, Xinwang Yang, Siheng Wang, Zhe Yang, Xiuhui Yang, Yutong Yang, Zirong Li, Yuqi Ren, Qianqian Zhang, Bowen Zhao, Jingming Xiao, Yidong Wang, Junhao Dong, Zhenhao Kou, Jie Li, Liqun Yang, Erhu Zhao, Gregory Fonseca, Ruibang Luo, Mingyu Yang, Hongjuan Cui, Gengjie Jia, Dan Wang, Haoyang Li, Jun Ding, Zhiyuan Yuan, Haojing Shao   +26 more
wiley   +1 more source

Who Knows Best What the Next Year Will Hold for You? The Validity of Direct and Personality‐based Predictions of Future Life Experiences Across Different Perceivers

European Journal of Personality, EarlyView., 2020
Abstract This study explored the validity of person judgements by targets and their acquaintances (‘informants’) in longitudinally predicting a broad range of psychologically meaningful life experiences. Judgements were gathered from four sources (targets, N = 189; and three types of informants, N = 1352), and their relative predictive validity was ...
Nele M. Wessels, Johannes Zimmermann, Daniel Leising, Jan‐Erik Lönnqvist   +3 more
wiley   +1 more source

Knowledge, attitude, and practice of infection control in a dental hospital among dental students and practicing dentists-A cross-sectional questionnaire study. [PDF]

J Educ Health Promot
Vidyalakshmi S, Charles MVP, Vezhavendhan N, Nishanth AV.   +3 more
europepmc   +1 more source

Kansas state plan for vocational education for fiscal years 1995-1996

, 1994
"Application for Federal Funds Carl D. Perkins Vocational and Applied Technology Education Act Amendments of 1990 P.L. 100-392." "Draft." "February 8, 1994.""The Kansas State Plan/or Vocational Education for Fiscal ...
Kansas. State Board of Education.
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Microbiome and aging: Trajectories of microbiome age across human ecosystems and their systemic effects

iMeta, EarlyView.
Microbiome age (MA) has emerged as an innovative biomarker of biological aging, reflecting host aging trajectories through dynamic alterations in microbial composition, function, and host–microbe interactions across multiple body ecosystems. Diverse computational strategies—including traditional machine learning, deep learning, and multi‐omics ...
Zhexin Ni, Jiaojiao Xie, Zhichun Zhang, Keming Zhang, Jie Ding, Mingyang Chang, Ying Su, Yunan Zhang, Mingfei Yao, Chengyuan Wang, Yan Yan, Wenjie Fang, Hainv Gao, Xuecong Tian, Yangshuo Li, Xinlin Zhu, Wen Zhang, Wanqing Liao, Gaoyuan Xu, Guojing Chen, Xiaoyi Lv, Chaoqin Yu, Weihua Pan, Vadim Molodtsov, Lanjuan Li, Yue Gao, Wei Zhou   +26 more
wiley   +1 more source