Results 21 to 30 of about 75,584 (196)

Unsupervised machine learning for detection of phase transitions in off-lattice systems I. Foundations

open access: yes, 2018
We demonstrate the utility of an unsupervised machine learning tool for the detection of phase transitions in off-lattice systems. We focus on the application of principal component analysis (PCA) to detect the freezing transitions of two-dimensional ...
Jadrich, R. B.   +2 more
core   +1 more source

A graph interpretation of the least squares ranking method [PDF]

open access: yes, 2014
The paper aims at analyzing the least squares ranking method for generalized tournaments with possible missing and multiple paired comparisons. The bilateral relationships may reflect the outcomes of a sport competition, product comparisons, or ...
Csató, László
core   +2 more sources

ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products

open access: yesAdvanced Robotics Research, EarlyView.
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar   +8 more
wiley   +1 more source

Positional Games and QBF: The Corrective Encoding

open access: yes, 2020
Positional games are a mathematical class of two-player games comprising Tic-tac-toe and its generalizations. We propose a novel encoding of these games into Quantified Boolean Formulas (QBF) such that a game instance admits a winning strategy for first ...
Mayer-Eichberger, Valentin   +1 more
core  

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

open access: yesAdvanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki   +2 more
wiley   +1 more source

On the phase diagram of Mackay icosahedra

open access: yes, 2018
Using Monte Carlo and molecular dynamics simulations, we investigate the equilibrium phase behavior of a monodisperse system of Mackay icosahedra. We define the icosahedra as polyatomic molecules composed of a set of Lennard-Jones subparticles arranged ...
Mravlak, Marko, Schilling, Tanja
core   +1 more source

Causal Prediction of TP53 Variant Pathogenicity Using a Perturbation‐Informed Protein Language Model

open access: yesAdvanced Science, EarlyView.
A TP53‐specific predictor, CaVepP53, is developed by fine‐tuning ESMC on experimentally validated variants, quantifying pathogenicity via Euclidean distances. It outperforms general‐purpose models and extends to five cancer genes, enabling interpretable variant classification for precision medicine.
Huiying Chen   +15 more
wiley   +1 more source

Bioprinted Tumor Microenvironment Models Reveal Immune Evasion and Guide CAR‐NK Therapeutic Strategies

open access: yesAdvanced Science, EarlyView.
This study presents a 3D embedded bioprinting platform that recapitulates key stromal features of the tumor microenvironment using fibroblasts and lung‐derived ECM. The model enables functional assessment of CAR‐NK cells and provides a versatile tool to support the development of next‐generation immunotherapeutic strategies against solid tumors ...
Dahong Kim   +10 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu   +4 more
wiley   +1 more source

Tunable Negative Thermal Expansion in Fe/Cr‐Substituted Nd2Co17 Compounds via Magnetoelastic Coupling

open access: yesAdvanced Science, EarlyView.
This study achieves anisotropic thermal expansion tuning in Nd2(Co1‐xFex)17‐yCry compounds via a magnetoelastic strategy. Variable‐temperature synchrotron X‐ray diffraction reveals that increased Fe content induces switchable lattice responses. Compositional control reduces the volume expansion coefficient αV by 20% (x═0.7) and modulates TC (442–625 K),
Jiayuan Li   +8 more
wiley   +1 more source

Home - About - Disclaimer - Privacy