Results 181 to 190 of about 120,097 (295)

infomeasure: a comprehensive Python package for information theory measures and estimators. [PDF]

Sci Rep
Büth CM, Acharya K, Zanin M.
europepmc   +1 more source

Olfactory‐to‐Entorhinal Network Dysrhythmias Drive Parkinson's Cognitive Impairment Through Frequency‐Specific Oscillatory Decoupling

Advanced Science, EarlyView.
Wang et al reveal that in the olfactory system, the selective impairment of gamma‐driven Barcode features underlying early olfactory deficits, while the selective impairment of theta‐driven Barcode features underlying later cognitive deficits, further establishing cross‐network gamma oscillations in the early stage as a biomarker of later cognitive ...
Shuaishuai Wang, Zhishen Cai, Xingfeng Mao, Yixuan Zhang, Yunlong Pan, Jiawen Cheng, Xuechun Wang, Hengyi Song, Sasaki Takuya, Ming Lu, Gang Hu, Xiuxiu Liu, Yingmei Lu, Feng Han   +13 more
wiley   +1 more source

Scalar-on-Function Mode Estimation Using Entropy and Ergodic Properties of Functional Time Series Data. [PDF]

Entropy (Basel)
Alamari MB, Almulhim FA, Almanjahie IM, Bouzebda S, Laksaci A.   +4 more
europepmc   +1 more source

The Mitochondrial Guardian α‐Amyrin Mitigates Alzheimer's Disease Pathology via Modulation of the DLK‐SARM1‐ULK1 Axis

Advanced Science, EarlyView.
Dietary habits play a key role in chronic diseases, and higher annual consumption of fruit and vegetable may lower risk of dementia. Artificial intelligence predicts the lipid‐like compound α‐Amyrin (αA) from plants with edible peels as a drug candidate against Alzheimer's disease.
Shu‐Qin Cao, Juan Ignacio Jiménez‐Loygorri, Yunguang Qiu, You Jung Kang, Khanh Van Do, Annabel E. Smith, Junjie Huang, Jun‐ping Pan, Lipeng Mao, Ang Li, Hangge Yang, Yahyah Aman, Maria Jose Donate Lagartos, Sofie Hindkjær Lautrup, Anbin Chen, Kristina Xiao Liang, Hailong Zhang, Juan Yi, Xurui Jin, Tin Cho Cheung, Olympia Apokotou, Florentia Papastefanaki, Rebecca Matsas, William A. McEwan, Feixiong Cheng, Hansang Cho, Guobing Chen, Huanxing Su, Konstantinos Palikaras, Oscar Junhong Luo, Qian Hua Zhao, Ding Ding, Cornelia van Duijn, Nektarios Tavernarakis, Patricia Boya, Tewin Tencomnao, Evandro F. Fang   +36 more
wiley   +1 more source

Local linear smoothing for regression surfaces on the simplex using Dirichlet kernels. [PDF]

Stat Pap (Berl)
Genest C, Ouimet F.
europepmc   +1 more source

Unpaired Learning‐Enabled Nanotube Identification from AFM Images

Advanced Science, EarlyView.
Identifying nanotubes on rough substrates is notoriously challenging for conventional image analysis. This work presents an unpaired deep learning approach that automatically extracts nanotube networks from atomic force microscopy images, even on complex polymeric surfaces used in roll‐to‐roll printing.
Soyoung Na, Soobin Park, Younsu Jung, Jinhwa Park, Jimin Hong, Jihyun Lee, Albert Kim, Bongjun Kim, Gyoujin Cho, Eunju Cha, Seung Hyun Song   +10 more
wiley   +1 more source

Combining Propensity Scores and Common Items for Test Score Equating. [PDF]

Appl Psychol Meas
Laukaityte I, Wallin G, Wiberg M.
europepmc   +1 more source

Modulating Purothionin Accumulation and Signal Peptide Cleavage Fine‐Tunes Wheat Flour Gluten Properties to Improve Cookie‐Making Quality

Advanced Science, EarlyView.
Dual genetic strategies for improving wheat processing quality by regulating purothionin accumulation to modulate gluten quantity and quality. The first strategy involves targeting signal peptide (SP) cleavage sites (e.g., through mutation) to indirectly reduce gluten content, thereby disrupting gluten network formation.
Yijie Liu, Siyuan Chang, Zhaoheng Zhang, Tianqi Kang, Mingde Liu, Yuan Zong, Fei Ni, Yinguang Bao, Ruijie Zhang, Xiaobang Zhang, Jinkun Du, Mingming Xin, Zhaorong Hu, Jie Liu, Zhongfu Ni, Qixin Sun, Yingyin Yao   +16 more
wiley   +1 more source

Early and Late Buzzards: Comparing Different Approaches for Quantile-Based Multiple Testing in Heavy-Tailed Wildlife Research Data. [PDF]

Biom J
Baumeister M, Munko M, Gladow KP, Ditzhaus M, Chakarov N, Pauly M.   +5 more
europepmc   +1 more source

Explicit Compression Degradation Estimations for Low‐Sampling Single‐Pixel Imaging using Hadamard Basis

Advanced Science, EarlyView.
This study proposes a degradation estimation technique to explicitly describe compressive sampling for low‐sampling Hadamard single‐pixel imaging. Blur kernels in explicit degradation models are estimated by the self‐supervised learning method without labeled data and implicit priors.
Haoyu Zhang, Jie Cao, Chang Zhou, Haifeng Yao, Qun Hao   +4 more
wiley   +1 more source