Results 31 to 40 of about 3,990 (166)
Molecular Oncology, EarlyView.Intratumour heterogeneity complicates precision management of advanced endometrial cancer. Circulating tumor DNA (ctDNA) offers a minimally invasive strategy to capture tumor evolution and therapeutic resistance. Here, we compare tumor‐agnostic NGS with tumor‐informed ddPCR, outlining their relative sensitivity, concordance, and clinical implications ...
Carlos Casas‐Arozamena +15 more
wiley +1 more source
Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation
Advanced Intelligent Discovery, EarlyView.We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley +1 more source
Noninformative Priors for Multivariate Linear Calibration
Journal of Multivariate Analysis, 2000 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +1 more source
PsychBayesian estimation of latent variable models provides some unique advantages to researchers working with small samples and complex models when compared with the more commonly used maximum likelihood approach.
Holmes Finch
doaj +1 more source
Estimation of Reliability in Multi-Component Stress-Strength Model Following Exponentiated Pareto Distribution [PDF]
The Egyptian Statistical Journal, 2012 This article deals with the Bayesian and non-Bayesian estimation of reliability of an s-out-of-k system with identical component strengths which are subjected to a common stress. Assuming that both stress and strength are assumed to have an exponentiated
Heba M.Basheikh, Amal S.Hassan
doaj +1 more source
Advanced Intelligent Systems, EarlyView.This work presents a bio‐inspired computing framework for Parkinson's disease analog recognition using electroencephalogram signals. Temporally encoded EEG features stimulate a mycelium‐inspired memristive reservoir, where disease‐related patterns emerge through physical spatiotemporal dynamics.
Ioannis K. Chatzipaschalis +5 more
wiley +1 more source
Epilepsia, EarlyView.Abstract Objective This study was undertaken to estimate the prevalence and characterize the semiology of co‐occurring functional/dissociative seizures (FDSs) and identify clinical features potentially associated with the development of video‐electroencephalography (video‐EEG)‐diagnosed FDSs in patients with idiopathic generalized epilepsy (IGE ...
Javier Peña‐Ceballos +13 more
wiley +1 more source
An algorithm to estimate parameters and states of a nonlinear maneuvering target.
Cogent Engineering, 2020 This paper investigates the problem of unknown input estimation such as acceleration, target class, and maneuvering target tracking using a hybrid algorithm. One of the challenges of unknown input estimation is that no effective method has been presented
S.N. Hosseini, M. Haeri, H. Khaloozadeh
doaj +1 more source
Epilepsia Open, EarlyView.The impact of prompt diagnosis and treatment, and early predictors of outcome severity in this cohort. Abstract Objective Most therapies for drug‐resistant epilepsy (DRE) focus on focal‐onset seizures, the most common seizure types. Studying primary generalized tonic–clonic seizures (PGTCS) is more challenging due to diagnostic and recruitment ...
Katherine Eggleston +6 more
wiley +1 more source
Muscle &Nerve, EarlyView.ABSTRACT Introduction/Aims Electrodiagnostic (EDX) studies comprise nerve conduction studies (NCS) and needle electromyography (EMG). However, EDX reporting is heterogeneous across laboratories and often requires time‐consuming documentation. We aimed to evaluate a hybrid rule‐based and constrained large language model (LLM) system that drafts EDX ...
Yesung Jung +3 more
wiley +1 more source