Results 111 to 120 of about 77,563 (250)
This study demonstrates short, length‐independent group delay supported by topological edge states in open Su–Schrieffer–Heeger networks. Strong boundary port coupling enables an order‐of‐magnitude latency reduction compared to bulk modes, alongside robust protection against bulk disorder.
Yu‐Han Chang +11 more
wiley +1 more source
The BLT Humanized Mouse Model as a Tool for Studying Human Gamma Delta T Cell-HIV Interactions In Vivo. [PDF]
Biradar S +4 more
europepmc +1 more source
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley +1 more source
Bartonella henselae masquerading as possible gamma-delta T-cell lymphoma in a paediatric patient with 22q11.2 deletion syndrome. [PDF]
Davis K, Battaglia L, Kumar B, Ojaimi S.
europepmc +1 more source
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao +4 more
wiley +1 more source
Consensus Formation and Change are Enhanced by Neutrality
Neutral agents are shown to enhance both the formation and overturning of consensus in collective decision‐making. A general mathematical model and experiments with locusts and humans reveal that neutrality enables robust consensus via simple interactions and accelerates consensus change by reducing effective population size.
Andrei Sontag +3 more
wiley +1 more source
Primary Cutaneous Gamma-Delta T-Cell Lymphoma Initially Diagnosed as Subcutaneous Panniculitis-like T-Cell Lymphoma with Dermatomyositis. [PDF]
Hirata C +7 more
europepmc +1 more source
Deep Contrastive Learning for High‐Throughput Prediction of Drug Resistance Mutations from Sequences
This study presents DeepMutDTA, a deep learning framework aimed at predicting mutation‐induced changes in protein‐drug interactions and prioritizing variants potentially linked to drug resistance. Trained on large‐scale data, it incorporates SimSiam‐MuTF, a label‐aware contrastive fine‐tuning strategy that encourages separation between WT and MT ...
Xiaowen Hu +7 more
wiley +1 more source
Reflections on the gamma delta T cell conference in Toronto 2025 - human therapies, mouse models and white elephants in the room. [PDF]
Sollberg L, Esser C.
europepmc +1 more source

