Results 61 to 70 of about 62,405 (273)
Covalent Reprogramming of Kinase Binders to Modulate Protein Abundance
Advanced Science, EarlyView.Electrophilic remodeling of a broad‐spectrum kinase binder reveals how subtle chemical changes reprogram protein fate. An acrylamide analog of a multi‐kinase binder selectively stabilizes Aurora kinase A (AURKA) by suppressing its ubiquitination, while a short‐linker variant converts this stabilizer into a degrader.
Chen Mozes +4 more
wiley +1 more source
An Approximate Algorithm Combining P Systems and Ant Colony Optimization for Traveling Salesman Problems [PDF]
, 2010 This paper proposes an approximate optimization algorithm combining P systems with ant colony optimization, called ACOPS, to solve traveling salesman prob- lems, which are well-known and extensively studied NP-complete combinatorial optimization ...
Cheng, Jixiang +2 more
core
Evolution of Physical Intelligence Across Scales
Advanced Intelligent Discovery, EarlyView.By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu +7 more
wiley +1 more source
Local Field Potential‐Based Programming: A Proof‐of‐Concept Pilot Study
Neuromodulation: Technology at the Neural Interface, EarlyView., 2021 Abstract Objectives Programming deep brain stimulation (DBS) is still based on a trial‐and‐error approach, often becoming a time‐consuming process for both treating physicians and patients. Several strategies have been proposed to streamline DBS programming, most of which are preliminary and mainly address Parkinson's disease, a condition readily ...
Alfonso Fasano +10 more
wiley +1 more source
Ant colony optimization for scheduling walking beam reheating furnaces [PDF]
, 2014 The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.This paper presents a new mathematical model for the walking beam reheating furnace scheduling problem ...
Hu, Rui +2 more
core +1 more source
A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws
Advanced Intelligent Discovery, EarlyView.The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows +7 more
wiley +1 more source
Jixie chuandong, 2006 The optimization design issues of harmonic gear `transmission were studied,and its fuzzy optimization design model with discrete variables was set up.The basic ant colony optimization algorithm was improved by introducing rebirth of ant colony.In order ...
郭惠昕
doaj
Perancangan Rute Distribusi Beras Sejahtera Menggunakan Algoritma Ant Colony Optimization (Studi Kasus di BULOG Kabupaten Semarang [PDF]
, 2016 Distribution activity has a very important role in the supply chain. Distribution is an activity to send the goods or products from the supplier or manufacturer to the consumer.
Silaban, F. B. (Freddy) +2 more
core
Learning Multi-Tree Classification Models with Ant Colony Optimization [PDF]
, 2014 Ant Colony Optimization (ACO) is a meta-heuristic for solving combinatorial optimization problems, inspired by the behaviour of biological ant colonies. One of the successful applications of ACO is learning classification models (classifiers).
Otero, Fernando E.B., Salama, Khalid M.
core +1 more source
MusicSwarm: Biologically Inspired Intelligence for Music Composition
Advanced Intelligent Systems, EarlyView.Biologically inspired swarms of frozen foundation models self‐organize to compose complex music without fine‐tuning. By coordinating through stigmergic signals, decentralized agents dynamically evolve specialized roles and adapt to solve complex tasks.
Markus J. Buehler
wiley +1 more source