Results 181 to 190 of about 8,078,517 (313)

Mechanism‐Informed Machine Learning Enables Discovery of Oncolytic Peptides for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
MISPOP integrates ensemble learning with membrane‐active physicochemical priors to identify Dermaseptin‐S9, a natural oncolytic peptide that disrupts tumor membranes, triggers immunogenic cell death, and shows strong antitumor activity. The study illustrates a mechanism‐informed route from peptide sequence data to cancer immunotherapy leads.
Wen Zhang   +11 more
wiley   +1 more source

Surveillance and Structural Violence: From Panopticon to Algorithms

open access: yesСоциология власти
The article examines the phenomenon of surveillance through the prism of J. Galtung’s theory of structural violence and Garver’s theory of silent violence. The author traces the evolution of control models from the works of Bentham, Foucault, Deleuze and
A. A. Sizov
doaj  

Self and others in algorithmic governmentality: between hyper-individuation and disindividuation

open access: yesAI & SOCIETY
Abstract This essay examines how the rapidly expanding algorithmic, data-driven mode of understanding humans affects modes of subjectivity. Through a critical, theoretical framework, the paper explores the hyper-individuation that results from the personalization of information, services, and environments, and from the fact that ...
openaire   +1 more source

Backbone‐Length‐Optimized Inhibitors Deliver Long‐Retention Selectivity in Area‐Selective ALD of VO2

open access: yesAdvanced Science, EarlyView.
Area‐selective VO2 ALD is found to depend critically on inhibitor backbone length, which governs physisorption, chemisorption stability, and packing efficiency in a coupled manner. An intermediate backbone‐length achieves the best long‐retention selectivity, establishing a chemically and geometrically grounded design principle for small‐molecule ...
Hae Lin Yang   +9 more
wiley   +1 more source

Fundamental Challenges, Physical Implementations, and Integration Strategies for Ising Machines in Large‐Scale Optimization Tasks

open access: yesAdvanced Electronic Materials, EarlyView.
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

open access: yesAdvanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho   +6 more
wiley   +1 more source

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