Results 91 to 100 of about 3,934,462 (338)

scResponse: A Rank‐Based Method for Identifying Cell States That Contribute to Immunotherapy Response by Single‐Cell Data

Advanced Science, EarlyView.
Although the tumor microenvironment is known to shape immunotherapy response, its key determinants remain elusive, underscoring the critical need for single‐cell resolution analytical frameworks. We present scResponse, an efficient algorithm to quantify single‐cell responses to immunotherapy. By capturing diverse cellular subtypes and states associated
Qi Dong, Haijun Huang, Yuxiu Wang, Bo Jiang, Yuzheng Chen, Huanhuan Xu, Jing Ren, Shengnan Guo, Tianhao Li, Mingjie Zhang, Tianyu Zhai, Wenbo Yang, Kaidong Liu, Cheng Lyu, Jingxuan Kang, Mingshuo Zhang, Yupeng Lu, Binghui Si, Shujun Cao, Dandan Xu, Zong Chen, Dapeng Hao   +21 more
wiley   +1 more source

Should Students Engaged to Their Study? (Academic Burnout and School-Engagement among Students)

Guidena, 2017
Inability to deal with lectures efficiently leads students vulnerable to academic burnout. Burnout contributes to the high dropout rate among students, and this phenomenon has occurred on several universities in Indonesia.
Fitri Arlinkasari, Sari Zakiah Akmal, Nur Wahyuni Rauf   +2 more
doaj   +1 more source

A Glimpse at the School Dropout Problem [PDF]

Dropout is a problem for many reasons. One, at the aggregate economy level wherein education is known to be an important determinant of economic growth, premature dropout means loss of potential productivity. And two, within the education sector, dropout
Orbeta, Aniceto Jr. C.
core  

KIDS COUNT Indicator Brief: Reducing the High School Dropout Rate [PDF]

, 2009
Outlines the economic costs of dropping out of high school and proposes dropout prevention strategies, such as taking a long-term approach starting with school readiness, enhancing schools' holding power, and addressing outside factors and at-risk ...
Barbara Shore, Rima Shore
core  

Remote Magnetomechanical Neuromodulation Uncovers Therapeutic Mechanisms for Alleviating Parkinsonian Symptoms in Freely Moving Mice

Advanced Science, EarlyView.
Magnetomechanical neuromodulation using magnetic nanodiscs enables remote activation of neurons. In a hemiparkinsonian mouse model, alternating magnetic fields actuate the nanodiscs to generate torque that opens mechanosensitive ion channels within the subthalamic nucleus, thereby modulating basal ganglia motor circuitry.
Anouk Wolters, Lorenzo Signorelli, Christian Herff, Sophia Gimple, Renzo Riemens, Gunter Kenis, Kim Rijkers, Hamed Shabani, Jyh‐Jang Sun, Yasin Temel, Hans Clusmann, Danijela Gregurec, Sarah‐Anna Hescham   +12 more
wiley   +1 more source

The Landscape and Regulation of Histone Crotonylation in Mammalian Gametes and Early Embryos

Advanced Science, EarlyView.
Histone crotonylation undergoes a genome‐wide transition from broad domains to canonical narrow peaks during minor zygotic genome activation (ZGA). This remodeling is required for proper major ZGA and blastocyst formation. Disruption of this transition by transcriptional inhibition, metabolic perturbation, or HDAC1 dysfunction impairs embryonic ...
Shenli Yuan, Yelian Yan, Yalin Liang, Kanghua Zhong, Zhican Fu, Xiaobo Wang, Chao Liu, Tao Huang, Keliang Wu   +8 more
wiley   +1 more source

School Dropout in the Indonesia-Timor Leste Border: Moderating Role of Social Environment and Learning Motivation

Lectura: Jurnal Pendidikan
This study is motivated by persistently high dropout rate at senior high school level in the border region between Indonesia and Timor-Leste. The school participation rate at this level reaches only 60.42%, indicating that 39.58% of students do not ...
Retno Hernawati, Maria Yuliana Panie, Samrid Neonufa, Al Ihzan Tajuddin   +3 more
doaj   +1 more source

Decoding Spatial Heterogeneity and Multi‐Omics Regulation with Hierarchical Graph Learning

Advanced Science, EarlyView.
ABSTRACT Recent advances in spatial multi‐omics technologies have enabled the simultaneous profiling of multiple molecular layers within the same tissue slice, providing unprecedented opportunities to investigate tissue spatial organization. However, most existing computational methods identify spatial domains in a purely data‐driven manner, rarely ...
Jiazhou Chen, Jiahui Xie, Yi Liao, Junyu Li, Longqi Liu, Xin Gao, Hongmin Cai   +6 more
wiley   +1 more source

The early identification of risk factors on the pathway to school dropout in the SIODO study: a sequential mixed-methods study

BMC Public Health, 2012
Background School dropout is a persisting problem with major socioeconomic consequences. Although poor health probably contributes to pathways leading to school dropout and health is likely negatively affected by dropout, these issues are relatively ...
Theunissen Marie-José, Griensven van Ilse, Verdonk Petra, Feron Frans, Bosma Hans   +4 more
doaj   +1 more source

STAID: A Self‐Refining Deep Learning Framework for Spatial Cell‐Type Deconvolution with Biologically Informed Modeling

Advanced Science, EarlyView.
STAID is a unified deep learning framework that couples iterative pseudo‐spot refinement with neural network training through a feedback loop and exploits gene co‐expression information to model higher‐order interactions, achieving accurate and robust cell‐type deconvolution in spatial transcriptomics.
Jixin Liu, Shuli Sun, Zhengliang Lv, Xinyu Liu, Yihua Wang, Bingqiang Liu   +5 more
wiley   +1 more source