Marginally Interpretable Spatial Logistic Regression With Bridge Processes. [PDF]
Lee CJ, Dunson DB.
europepmc +1 more source
Stable Neural Signal Recording Processed by Memristor‐Based Reservoir Computing System
This work introduces a memristor‐based reservoir computing (RC) system for real‐time, energy‐efficient processing of neural signals in brain‐machine interface (BMI). Combined with flexible mesh neural probes with tissue‐like flexibility and subcellular‐scale features that enable consistent, long‐term tracking of single‐cell neural activities, the ...
Soohyeon Kim +10 more
wiley +1 more source
A Bayesian perspective on single-shot laser characterization. [PDF]
Esslinger J +7 more
europepmc +1 more source
SiOx‐Based Probabilistic Bits Enabling Invertible Logic Gate for Cryptographic Applications
To enable lightweight hardware encryption and decryption, a Ti/SiOx/Ti threshold switching device is engineered to generate controllable stochastic oscillations. By tuning the input voltage, the device produces a programmable spike probability governed by intrinsic switching dynamics, enabling probabilistic bits that construct an invertible ...
Jihyun Kim, Hyeonsik Choi, Jiyong Woo
wiley +1 more source
Discovery and Biosynthesis of the Novel Glycotetrapeptide Antibiotic Biffamycin A
Genetic de‐regulation of a silent biosynthetic pathway allowed isolation and characterisation of a novel glycopeptide antibiotic named biffamycin A, which harbours unprecedented 5‐chloro‐4‐methoxy tryptophan and 3R‐hydroxy(α‐D‐mannoysl)‐D‐lysine moieties and is bioactive against MRSA and VRSA.
Michael W. Brigham +11 more
wiley +2 more sources
Identification and quantification of irreversibility in stochastic systems.
Ghosal A, Bisker G.
europepmc +1 more source
Reconstructing the early spatial spread of pandemic respiratory viruses in the United States. [PDF]
Zhang R +7 more
europepmc +1 more source
Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning
A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang +6 more
wiley +1 more source
This study presents an integrative multi‐omics framework to uncover the molecular mechanisms and potential biomarkers of chronic thromboembolic pulmonary hypertension (CTEPH). Anthropometric and biochemical data were correlated using canonical correlation analysis, revealing key cardiometabolic associations. Single‐cell RNA sequencing identified immune
Xiaopeng Liu +4 more
wiley +1 more source
AttSCNs: A Bayesian-Optimized Hybrid Model with Attention-Guided Stochastic Configuration Networks for Robust GPS Trajectory Prediction. [PDF]
Jin XB, Wang YQ, Kong JL, Bai YT, Su TL.
europepmc +1 more source

