Results 191 to 200 of about 23,077,814 (292)
Biomineralization underpins skeletal development, yet its molecular control remains incompletely understood. Using a novel murine knockout model, this study reveals the essential and complementary roles of PHOSPHO1 and TNAP in postnatal skeletal development.
Lucie E. Bourne +15 more
wiley +1 more source
Network Meta-Analysis of Survival Outcomes With Non-Proportional Hazards Using Flexible M-Splines. [PDF]
Phillippo DM +3 more
europepmc +1 more source
Grounded in real biological RNA‐seq data, the framework benchmarks ten differential transcript usage (DTU) methods across short‐read bulk, long‐read bulk, long‐read single‐cell, and long‐read spatial transcriptomics. By integrating reference transcript sets with ranked DTU results, the Transcript Set Enrichment Score (TSES) identifies data‐type ...
Chenxing Zhang +6 more
wiley +1 more source
M-polynomial of some cactus chains and their topological indices
Bommanahal Basavanagoud +1 more
openaire +1 more source
A multi‐level analytical framework, integrating protein‐level persistence analysis, nontargeted HRMS formula tracking, peptide‐level proteomics, and targeted monomer quantification under varying redox conditions, together with FMO calculations reveal that ammonification is limited by medium molecular weight nitrogenous multimers.
Jing Li +4 more
wiley +1 more source
A comparative study of nonlinear cleanup rules in resonator networks. [PDF]
Yeung C, Poduval P, Imani M.
europepmc +1 more source
M-polynomial and entropy of para-line graph of naphthalene [PDF]
openaire +1 more source
Low‐Power Control Of Resistance Switching Transitions in First‐Order Memristors
Joule losses are a serious concern in modern integrated circuit design. In this regard, minimizing the energy necessary for programming memristors should be handled with care. This manuscript presents an optimal control framework, allowing to derive energy‐efficient programming voltage protocols for resistance switching devices. Following this approach,
Valeriy A. Slipko +3 more
wiley +1 more source
Simulation-informed kernel-based regression models for predicting temperature distribution in microwave hyperthermia. [PDF]
Alazwari MA, Abu-Hamdeh NH, Almitani KH.
europepmc +1 more source

