Results 141 to 150 of about 710,451 (294)

Probing the Energy Landscape of α‐Synuclein Amyloid Fibril Formation by Systematic K‐to‐Q Mutagenesis

Advanced Science, EarlyView.
We use lysine‐to‐glutamine mutations to study the effect of electrostatics on the kinetics and thermodynamics of alpha‐synuclein amyloid fibril formation. We find that mutational effects map on their structural context within fibrils and identify residues that modulate the energy landscape of alpha‐synuclein self‐assembly. Our work outlines a scalable,
Antonin Kunka, Azad Farzadfard, Jacob Aunstrup Larsen, Rasmus Krogh Norrild, Federica Saraceno, Celia Fricke, Hossein Mohammad‐Beigi, Ahmed Sadek, Jonas Folke, Susana Aznar, Alexander K. Buell   +10 more
wiley   +1 more source

Fuzzy Entropy-Based Spatial Hotspot Reliability. [PDF]

Entropy (Basel), 2021
Di Martino F, Sessa S.
europepmc   +1 more source

Water Supply Network in a Fuzzy Environment ; Maximum-Entropy Approach

, 2015
[[abstract]]The maximum entropy principle initiated by Jaynes [5] is a powerful optimization technique of determining the distribution of random system in the case of partial or incomplete information or data available about the system [7,10,12,13].
Mazumder, S. K., Roy, T. K., Jana, P.
core  

Portfolio selection based on fuzzy cross-entropy

, 2009
In this paper, the Kapur cross-entropy minimization model for portfolio selection problem is discussed under fuzzy environment, which minimizes the divergence of the fuzzy investment return from a priori one. First, three mathematical models are proposed
Qin, Zhongfeng, Ji, Xiaoyu, Li, Xiang
core   +1 more source

MAPA: A Semantic Network Framework for Functional Module Discovery and Interpretation in Multi‐Omics Data

Advanced Science, EarlyView.
MAPA transforms complex multi‐omics data into biologically coherent functional modules by integrating pathway information with molecular interaction networks. Retrieval‐augmented large language models then generate structured, literature‐informed interpretations.
Yifei Ge, Feifan Zhang, Yijiang Liu, Chao Jiang, Peng Gao, Nguan Soon Tan, Sai Zhang, Yuchen Shen, Qianyi Zhou, Xin Zhou, Xiao Wang, Fangqing Zhao, Chuchu Wang, Xiaotao Shen   +13 more
wiley   +1 more source

An ensemble LSTM-based AQI forecasting model with decomposition-reconstruction technique via CEEMDAN and fuzzy entropy. [PDF]

Air Qual Atmos Health, 2022
Wu Z, Zhao W, Lv Y.
europepmc   +1 more source

Bounds on Two Parametric New Generalized Fuzzy Entropy [PDF]

, 2016
In this paper we define a new two parametric generalized fuzzy average code-word length...Keywords Fuzzy set, Membership function, Shannon’s entropy, Fuzzy entropy, Code-word length, Kraft inequality, Coding theorem, Holder’s inequality and Optimal code ...
Bhat, Ashiq. Hussain, Salam, Abdul, Baig, M. A. K.   +2 more
core  

Asymmetric Structure‐Driven Functional Synergy: A Multistimuli‐Activated Janus Nanomotor for Self‐Amplifying NO Cascade Therapy

Advanced Science, EarlyView.
The Janus nanomotors leverage an “asymmetric structure‐driven functional synergy” strategy to orchestrate spatiotemporally coordinated catalytic functions, in situ self‐amplifying NO generation, and deep tumor penetration, thereby enabling controllable, sustained, and uniform NO generation within the tumor microenvironment.
Chengcheng Li, Yu Zhang, Yu Chen, Lingyun He, Xian Shen, Weijian Sun, Hongbo Zhang   +6 more
wiley   +1 more source

A Stepwise Assessment of Parsimony and Fuzzy Entropy in Species Distribution Modelling. [PDF]

Entropy (Basel), 2021
Estrada A, Real R.
europepmc   +1 more source

Comparing Fuzzy-Rough and Fuzzy Entropy-assisted Fuzzy-Rough Feature Selection

, 2008
Feature Selection (FS) methods based on fuzzy-rough set theory (FRFS) have employed the dependency function to guide the FS process with much success. More recently a method has been developed which uses fuzzy-entropy [9] to perform this task.

core