Results 131 to 140 of about 74,071 (357)

Fabrication of High‐Density Multimodal Neural Probes Based on Heterogeneously Integrated CMOS

Advanced Science, EarlyView.
A chiplet‐based methodology democratizes active neural probe development on standard bulk CMOS services. This yields the first probe combining high‐density electrophysiology (416 electrodes) with calcium imaging (832 photodiodes) and complete on‐chip signal processing across 13 shanks.
Ju Hee Mun, Miji Kim, Wooyeon Shin, Yongjun Park, Kanghwan Kim, Il‐Joo Cho, Jae Won Shim, Min Soo Kim, Sunwoo Lee, Jeongjin Kim, Changhyuk Lee   +10 more
wiley   +1 more source

A hybrid model integrating recurrent neural networks and the semi-supervised support vector machine for identification of early student dropout risk [PDF]

PeerJ Computer Science
Background Student dropout rates are one of the major concerns of educational institutions because they affect the success and efficacy of them. In order to help students continue their learning and achieve a better future, there is a need to identify ...
Huong Nguyen Thi Cam, Aliza Sarlan, Noreen Izza Arshad   +2 more
doaj   +2 more sources

MGDP: Mastering a Generalized Depth Perception Model for Quadruped Locomotion

Advanced Science, EarlyView.
ABSTRACT Perception‐based Deep Reinforcement Learning (DRL) controllers demonstrate impressive performance on challenging terrains. However, existing controllers still face core limitations, struggling to achieve both terrain generality and platform transferability, and are constrained by high computational overhead and sensitivity to sensor noise.
Yinzhao Dong, Ji Ma, Yidan Lu, Jiahui Zhang, Wanyue Li, Yeke Chen, Teng Zhang, Xuechao Chen, Zhangguo Yu, Peng Lu   +9 more
wiley   +1 more source

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

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 Plummeting Labor Market Fortunes of Teens and Young Adults [PDF]

, 2014
Employment prospects for teens and young adults in the nation's 100 largest metropolitan areas plummeted between 2000 and 2011. On a number of measures -- employment rates, labor force underutilization, unemployment, and year-round joblessness -- teens ...
Andrew Sum, Ishwar Khatiwada, Martha Ross, Mykhaylo Trubskyy, Sheila Palma, Walter McHugh   +5 more
core  

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

Early-predicting dropout of university students: an application of innovative multilevel machine learning and statistical techniques

, 2021
Marta Cannistrà, Chiara Masci, Francesca Ieva, Tommaso Agasisti, Anna Maria Paganoni   +4 more
openalex   +2 more sources

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

Why Are Students Dropping Out of School? The Factors that Contribute to the United States High School Dropout Rate [PDF]

, 2010
With a very fluctuating economy and an unstable job market, a high school diploma as well as a continued education is becoming extremely important. An increasing amount of businesses will not even consider a job application unless a person has a high ...
Lund, Christopher
core   +1 more source