Results 121 to 130 of about 8,190 (293)

Stochastic programming models and methods for portfolio optimization and risk management [PDF]

, 2012
This project is focused on stochastic models and methods and their application in portfolio optimization and risk management. In particular it involves development and analysis of novel numerical methods for solving these types of problem.
Meskarian, Rudabeh
core  

From Defense Executor to Engineering Target: Harnessing Lignin for Crop Resistance

Advanced Science, EarlyView.
Lignin serves as both a physical and chemical executor of broad‐spectrum plant immunity. This review systematically summarizes classical and recent advances in lignin‐mediated immunity, outlines the multifaceted regulatory modules controlling lignification under biotic stress, discusses key physiological and biochemical mechanisms behind lignin‐based ...
Yanwen Yu, Ke Wang, Huachuan Tuo, Jiankun Li, Liping Xu, Chang‐Jun Liu, Mingyue Gou   +6 more
wiley   +1 more source

P-Dits for the Frequency Assignment Problem With Transmitter Deactivation in Dense Environments

IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
The frequency assignment problem is a nondeterministic polynomial-time hard (NP-hard) optimization problem concerning the assignment of frequency channels to wireless transmitters. Typically, the aim is to minimize interference between transmitters while
Christian Duffee, Jordan Athas, Igor Kadota, Randall Berry, Pedram Khalili Amiri   +4 more
doaj   +1 more source

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

Generalized efficient solutions to multiobjective optimization in Banach spaces [PDF]

, 2009
In this paper, we study vector optimization problems in Banach spaces for essentially nonlinear operator equations with additional control and state constraints. We suppose that an objective mapping possesses a weakened property of lower semicontinuity
P. I. KOGUT, MANZO, Rosanna
core  

CauFinder: Steering Cell‐State and Phenotype Transitions by Causal Disentanglement Learning

Advanced Science, EarlyView.
CauFinder combines causal disentanglement modeling and network control to prioritize causal drivers of cell‐state transitions from observational transcriptomic data. The framework separates transition‐relevant signals from spurious associations, nominates intervention targets across biological and disease contexts, and identifies DAAM1 as an actionable
Chengming Zhang, Zexi Chen, Yuanxiang Miao, Zuolin Shen, Deyu Cai, Shijie Tang, Yun Xue, Weifeng Guo, Hongbin Ji, Jian Liu, Kazuyuki Aihara, Luonan Chen   +11 more
wiley   +1 more source

Regularity for optimal compliance problems with length penalization

Régularité pour des problèmes de compliance optimale avec pénalisation de la longueur Nous étudions la régularité et la structure topologique d'un ensemble minimisant la fonctionnelle de p-compliance avec une pénalisation de longueur.
openaire   +2 more sources

Physics‐Informed Neural Network‐Enabled Forward Prediction and Inverse Design of Ring Origami

Advanced Science, EarlyView.
This work presents a KRT‐PINN framework that integrates Kirchhoff rod theory with physics‐informed neural networks for the forward prediction and inverse design of ring origami consisting of closed‐loop rods. The framework predicts stable states of segmented rings with prescribed natural‐curvature profiles and determines the natural‐curvature profiles ...
Luyuan Ning, Lu Lu, Sophie Leanza, Ruike Renee Zhao   +3 more
wiley   +1 more source

A Review of Failure Modes and Safety Strategies of Lithium‐Ion Batteries from Materials to Systems

Advanced Science, EarlyView.
A cascade‐aware framework is presented for lithium‐ion battery safety, linking thermal runaway initiation, acceleration, runaway reaction, and propagation with material‐, cell/pack‐, and system‐level interventions. By integrating failure mechanisms, quantitative safety indicators, and staged interception strategies, this review highlights how safer ...
Jin Hyeok Yang, Jae Yoon Sung, Hyunji Kweon, Seohyun Kim, Byunghoon Kim, Jongsoon Kim, Junyoung Mun, Jung Ho Kim, Ki Jae Kim   +8 more
wiley   +1 more source

Predicting pairwise interaction affinities with ℓ0-penalized least squares-a nonsmooth bi-objective optimization based approach∗ [PDF]

In this paper, we introduce a novel nonsmooth optimization-based method LMBM-Kron & ell;(0) LS for solving large-scale pairwise interaction affinity prediction problems.
Airola Antti, Pahikkala Tapio, Numminen Riikka, Paasivirta Pauliina, Karmitsa Napsu   +4 more
core   +1 more source