Results 181 to 190 of about 1,363,991 (370)

On (2, 3, 7)-generation of maximal parabolic subgroups [PDF]

, 2001
L. Di Martino, M. C. Tamburini
openalex   +1 more source

Factors Driving Battery and Solar Purchase Decision of Residents: a Behavioural Choice Experiment Using a Hybrid Discrete Choice and Latent Variable Model

Advanced Sustainable Systems, EarlyView.
This article explores what drives households to adopt solar PV and battery systems in South East Queensland. Using hybrid discrete choice experiments, it reveals distinct adopter profiles and highlights cost, system size, and energy independence as key motivators.
Mohammad Alipour, Elnaz Irannezhad, Rodney A. Stewart, Oz Sahin   +3 more
wiley   +1 more source

Cross-Characteristic Representations of $Sp_6(2^a)$ and Their Restrictions to Maximal Subgroups [PDF]

, 2012
A. A. Schaeffer Fry
openalex   +1 more source

On theta pairs for a maximal subgroup

, 1990
N. Mukherjee, P. Bhattacharya
semanticscholar   +1 more source

Long‐Term Memory Updating Parallels Altered Awake and Sleep Hippocampal Replays

Advanced Science, EarlyView.
This study introduces a behavioral paradigm for memory updating and reveals underlying hippocampal mechanisms. Replays of place cells predict future behavioral choices during behavior and show a bias toward high‐reward locations during non‐rapid eye movement (NREM) sleep, specifically within the memory updating process.
Jifu Tong, Yuanwei Xing, Yawen Zheng, Linshu Wang, Shan Shao, Jiao Wu, Longyu Ma, Shuting Liu, Naizheng Liu, Xuetao Qi, Ting Wang, Kun Cui, Shuang Cui, You Wan, Ming Yi   +14 more
wiley   +1 more source

On the orbit space of a maximal compact subgroup on a spherical homogeneous variety [PDF]

Timashev, Dmitry A.
openalex   +2 more sources

The Character Table of a Maximal Subgroup of the Monster

LMS J. Comput. Math., 2007
R. W. Barraclough, Robert A. Wilson
semanticscholar   +1 more source

Genome‐Wide by Lifetime Environment Interaction Studies of Brain Imaging Phenotypes

Advanced Science, EarlyView.
This study explores genome‐wide by lifetime environment interactions on brain imaging phenotypes. Gene‐environment interactions explain more phenotypic variance than main effects, pinpoint regulatory variants, and reveal exposure‐specific biological pathways.
Sijia Wang, Meiyun Wang, Peng Zhang, Jingliang Cheng, Longjiang Zhang, Wenzhen Zhu, Shijun Qiu, Zuojun Geng, Guangbin Cui, Yongqiang Yu, Weihua Liao, Xi‐Nian Zuo, Hui Zhang, Bo Gao, Xiaojun Xu, Tong Han, Zhenwei Yao, Quan Zhang, Feng Liu, Qiang Xu, Jiayuan Xu, Jilian Fu, Nana Liu, Yuan Ji, Jie Tang, Lining Guo, Mengge Liu, Xiaoxiao Xiao, Xiaoxuan Liu, Wei Li, Caihong Wang, Wei Wei, Dapeng Shi, Su Lui, Zhihan Yan, Feng Chen, Jing Zhang, Wen Shen, Yanwei Miao, Dawei Wang, Jia‐Hong Gao, Yunjun Yang, Kai Xu, Junfang Xian, Bing Zhang, Xiaochu Zhang, Zhaoxiang Ye, Le Yu, Wen Qin, Meng Liang, Chunshui Yu, the CHIMGEN Consortium   +51 more
wiley   +1 more source

Explicit construction of the maximal subgroups of the Monster

Heiko Dietrich, Melissa Lee, Anthony R. Pisani, Tomasz Popiel   +3 more
openalex   +1 more source

p-Groups with an Abelian Maximal Subgroup and Cyclic Center

Journal of the Australian Mathematical Society, 1976
S. B. Conlon
semanticscholar   +1 more source