Results 81 to 90 of about 302,002 (276)

A Phase‐Resolved Geometric Deep Learning Framework Maps Structural Determinants of Disease‐Associated Protein Aggregation and Guides Suppressor Design

Advanced Science, EarlyView.
SKALE 2.0 maps disease‐associated protein aggregation as a phase‐resolved structural process, linking mutation‐induced geometric perturbations to nucleation, elongation, and suppressor design. Across neurodegenerative proteins, the framework reveals cryptic aggregation vulnerabilities, separates phase‐concordant and phase‐switching mutations, and ...
Jia Shen Sio, Wei Xuan Wilson Loo, Yan Shan Loo, Wen Xin Tan, Hui Xuan Lim, Huitao Liu, Chen Seng Ng   +6 more
wiley   +1 more source

Optimal designs for estimation and prediction in simple random-intercept models

上海师范大学学报. 自然科学版, 2013
The paper is concerned with the optimal design problem of estimating linear combinations of the fixed and random effects，and predicting future observations of individual responses in a random intercept model．The variance components in the model are ...
YUE Rongxian, ZHOU Xiaodong
doaj  

Dual‐Module Near‐Infrared Fluorophores Discovery System via Knowledge Transfer

Advanced Science, EarlyView.
This study presents a dual‐module deep learning system for the design of near‐infrared (NIR) fluorophores. A large molecular library is generated and analyzed, leading to the suggestions of promising candidates. The effectiveness of the system is further validated through the synthesis, characterization, and in vivo imaging, demonstrating its potential
Yixin Zhu, Xia Ling, Xianhe Zhang, Chuanjiang Jian, Leilei Shi, Wentao Song, Xiaonan Wang, Bin Liu   +7 more
wiley   +1 more source

Forecasting Bitcoin Price Movements Using Historical Data

ITEGAM-JETIA
In the digital currency, Bitcoin (BTC) is called the gold of the digital currency. It is possible to make some profits in trading of bitcoins, though this market is a very illiquid market and it is very challenging to determine the price of a bitcoin ...
Seddiq Hassan Al-Banna Ali, Ammar Ahmed Othman, Mohammed Baker Yousif   +2 more
doaj   +1 more source

Correcting Apparent Priming Bias Unveils Fertilizer Nitrogen‐Risk Archetypes of Surplus and Depletion Across Asian Rice Systems

Advanced Science, EarlyView.
Correcting the apparent priming effect resolves systematic biases in Asian rice fertilizer nitrogen accounting. Net soil retention drops below 7%, while 48% of fertilizer escapes, inflicting US$98.53 billion in annual reactive‐nitrogen damages. High‐resolution mapping uncovers N‐risk archetypes across 42% of the rice area, delivering a spatially ...
Xiuyun Liu, Siyuan Cai, Longlong Xia, Jagdish K. Ladha, Xiaoyuan Yan, Xu Zhao   +5 more
wiley   +1 more source

New comprehensive mean estimation using regression-cum-exponential type estimator: Application with neutrosophic data

Kuwait Journal of Science
When the point estimator is used to estimate population parameters, it provides a single value. In such a scenario, the neutrosophic method is beneficial for estimating the parameters of interest in sampling theory as it yields interval estimates where ...
doaj   +1 more source

An Efficient General Family of Estimators for Population Mean in the Presence of Non-Response

Journal of Mathematical and Fundamental Sciences, 2017
This paper presents a new general family of estimators to estimate the population mean of study variable y in the presence of non-response when utilizing a known coefficient of variation of study variable y.
Thanapanang Rachokarn, Nuanpan Lawson
doaj   +1 more source

Exact Discrete Stochastic Simulation With Deep‐Learning‐Scale Gradient Optimization

Advanced Science, EarlyView.
A 203,796‐parameter gene regulatory network classifies handwritten digits with 98.4% accuracy using exact stochastic dynamics. The framework decouples forward simulation from backward differentiation, making continuous‐time Markov chain models compatible with deep‐learning optimization.
Jose M. G. Vilar, Leonor Saiz
wiley   +1 more source

Research on Ship Trajectory Prediction Method Based on CNN-RGRU-Attention Fusion Model

IEEE Access
Based on Automatic Identification System (AIS) data in maritime settings, this paper explores the limitations of traditional Recurrent Neural Networks in extracting features from complex vessel trajectory sequences.
Wei Liu, Yu Cao, Meng Guan, Linlin Liu
doaj   +1 more source

High Tree Species Diversity Promotes Thermal Enhancement Response of Microbial Carbon Use Efficiency

Advanced Science, EarlyView.
ABSTRACT Predicting soil carbon dynamics under warming is constrained by limited understanding of microbial thermal adaptation, particularly whether microbial carbon use efficiency (CUE) can adapt to warming and how plant diversity modulates this response. Using soils from a natural tree species diversity gradient in a subtropical forest, we combined a
Pengpeng Duan, Changqing Ye, Xinyi Yang, Chaoqun Wang, Wolfgang Wanek, Jian‐sheng Ye, Hongzhao Yuan, Hu Du, Kongcao Xiao, Xunyang He, Kelin Wang, Dejun Li   +11 more
wiley   +1 more source