Results 161 to 170 of about 17,625 (308)

Sub-vector Efficiency analysis in Chance Constrained Stochastic DEA: An application to irrigation water use in the Krishna river basin, India

All deviations from the frontier is inefficiency in deterministic DEA (DDEA); thus making the DDEA unable to accommodate the measurement and specification errors.
Buysse, Jeroen, Van Huylenbroeck, Guido, Speelman, Stijn, Chellattan Veettil, Prakashan, Ashok, Arathy   +4 more
core  

Preset-time control of UGV swarms with multiplicative noise and RISE disturbance observer. [PDF]

Sci Rep
Pang H, Yu J, Li S, Zhang Z, Zhou F, Li Y.   +5 more
europepmc   +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

Exact noise influenced soliton solutions of a high-order stochastic nonlinear Schrödinger equation with weak nonlocal nonlinearity in a non-Kerr medium. [PDF]

Sci Rep
Ali MH, Ahmed HM, Alkhatib S, Ramadan ME, Samir I, Ahmed KK.   +5 more
europepmc   +1 more source

Single‐Cell RNA Editing Identifies T Cell ADAR1 as a Key Regulator of Immune Exhaustion and Anti‐PD‐1 Resistance in Colorectal Cancer

Advanced Science, EarlyView.
Single‐cell RNA editing analysis identifies ADAR1 as a regulator of dysfunctional T cell states in colorectal cancer. Elevated ADAR1 activity promotes T cell exhaustion and impairs antitumor immunity partly through TGF‐β‐SMAD signaling, contributing to anti‐PD‐1 resistance and highlighting T cell ADAR1 as a potential therapeutic target and biomarker ...
Da Kang, Song‐Zuo Xie, Yong‐Zhou Luo, Xin‐Pei Deng, Xi‐Rong Tan, Ze‐Geng Chen, Ling‐Xing Zeng, Gong Chen, Pei‐Rong Ding, Zhi‐Zhong Pan, Rong‐Xin Zhang   +10 more
wiley   +1 more source

Fractional-order stochastic delayed neural networks with impulses: mean square finite-time contractive synchronization. [PDF]

Sci Rep
Palanisamy G, Kandasamy U, Rihan FA, Ben Said S.   +3 more
europepmc   +1 more source

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

Advanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai, Ri He, Junxian Liu, Liangzhi Kou   +3 more
wiley   +1 more source

Transient dynamics and nonlinear fitness: A matrix approach to pulse and press perturbation. [PDF]

Ecology
Jaggi H, Tuljapurkar S, Zuo W, Gascoigne SJL, Kajin M, Salguero-Gómez R.   +5 more
europepmc   +1 more source

Beyond Potency: Emerging Determinants and Optimization Strategies Enhancing Therapeutic Efficacy of Adult Stem Cells

Advanced Science, EarlyView.
Adult stem cell therapy requires more than high in vitro potency. This review proposes a systems framework in which cell‐intrinsic programs, instructive microenvironmental cues, and pre‐/post‐delivery engineering are co‐designed under standardized translational rules.
Soo‐Rim Kim, Yun Jae Jung, Hwa‐Yong Lee   +2 more
wiley   +1 more source

"Block Sampler and Posterior Mode Estimation for Asymmetric Stochastic Volatility Models" [PDF]

This article introduces a new efficient simulation smoother and disturbance smoother for asymmetric stochastic volatility models where there exists a correlation between today's return and tomorrow's volatility.
Toshiaki Watanabe, Yasuhiro Omori
core