Results 81 to 90 of about 2,125,097 (297)
A context‐dependent modulatory role for eIF6 in acquired resistance to vemurafenib in melanoma
FEBS Letters, EarlyView.Acquired resistance to vemurafenib upregulates the translation factor eIF6 in melanoma cells. Silencing eIF6 in resistant cells reduces proliferation and partially restores drug sensitivity, whereas its overexpression increases sensitivity across melanoma lines regardless of BRAF status, via modulation of mTOR, S6K, and MAPK signaling.
George Kyriakopoulos +9 more
wiley +1 more source
Masked particle modeling on sets: towards self-supervised high energy physics foundation models
Machine Learning: Science and TechnologyWe propose masked particle modeling (MPM) as a self-supervised method for learning generic, transferable, and reusable representations on unordered sets of inputs for use in high energy physics (HEP) scientific data.
Tobias Golling +6 more
doaj +1 more source
Smaller is better: nanobodies meet NMR
FEBS Letters, EarlyView.Nanobodies are single‐domain antigen‐binding fragments derived from camelid heavy chain antibodies. Their small size, high stability, and exceptional specificity make nanobodies uniquely useful probes for NMR studies of protein dynamics, transient conformational states, and protein–protein interactions.
Oleg Y. Dmitriev
wiley +1 more source
, 2020 The Review summarizes much of particle physics and cosmology. Using data from previous editions, plus 3,324 new measurements from 878 papers, we list, evaluate, and average measured properties of gauge bosons and the recently discovered Higgs boson ...
Smoot, G. F., Particle Data Group
core +1 more source
Functioning of the word combination “da vsio ravno” in modern Russian language
Studia HumanitatisThe article examines the use of the word combination “da vsio ravno” by modern native speakers of Russian using examples from the Russian National Corpus. This combination includes the polyfunctional word “da”, which can act as an adversative conjunction
Krylova Maria Nikolaevna
doaj
Experimental Methods for Model Parameters in the Discrete Element Method
KONA Powder and Particle JournalThe Discrete Element Method (DEM) is a widely used numerical method for studying, analyzing, and optimizing particulate processes. Based on contact models, DEM can predict the interactions of particles and particles with wall surfaces.
Fabian Krull +2 more
doaj +1 more source
Tribology in Natural Sand Dust Environment
Tribology Online, 2008 The tribological problem in natural sand dust environment was proposed and an equipment for simulating the natural sand dust environment based on Multi-Venturi structure was introduced for studying the tribological problem.
Dongfeng Diao, Tonghai Wu
doaj +1 more source
FEBS Letters, EarlyView.Transient oligomers formed by intrinsically disordered proteins may be ‘invisible’ to direct detection yet remain accessible to solution NMR through equilibrium‐exchange measurements and pressure‐jump experiments. Complementary methods report on mass, stoichiometry, selected distance distributions, morphology, and internal packing.
Martin D. Gelenter, Ad Bax
wiley +1 more source
A Comparative Statistical Analysis of Two Brake Emission Test Cycles
AtmosphereNon-exhaust emissions represent a growing share of traffic-related particulate matter and are increasingly addressed by regulatory frameworks. This study presents a comparison of two brake emission test cycles, the California Brake Dynamometer Cycle ...
Sampsa Martikainen +6 more
doaj +1 more source
A Facile Fabrication of Alginate Microbubbles Using a Gas Foaming Reaction
Molecules, 2013 Microbubble particles have been extensively utilized as temporal templates for various biomedical applications. This study proposes a facile strategy to obtain microbubble-containing alginate particles (i.e., microbubbles inside alginate gel particles ...
Chih-Hui Yang +4 more
doaj +1 more source