Results 91 to 100 of about 833,540 (375)

Tonic signaling of the B‐cell antigen‐specific receptor is a common functional hallmark in chronic lymphocytic leukemia cell phosphoproteomes at early disease stages

open access: yesMolecular Oncology, EarlyView.
B‐cell chronic lymphocytic leukemia (B‐CLL) and monoclonal B‐cell lymphocytosis (MBL) show altered proteomes and phosphoproteomes, analyzed using mass spectrometry, protein microarrays, and western blotting. Identifying 2970 proteins and 316 phosphoproteins, including 55 novel phosphopeptides, we reveal BCR and NF‐kβ/STAT3 signaling in disease ...
Paula Díez   +17 more
wiley   +1 more source

Autour de l’Oedipus chymicus

open access: yesMethodos, 2008
Comparing the Leibniz’s Oedipus chymicus, written in 1710, with its possible reference, the homonymous text by J.J. Becher in 1664, this paper tries to determine why Leibniz had such an interest for the chemistry of his time.
Anne-Lise Rey
doaj   +1 more source

MicroRNA 196a contributes to the aggressiveness of esophageal adenocarcinoma through the MYC/TERT/NFκB axis

open access: yesMolecular Oncology, EarlyView.
mir‐196a promotes Esophagus Adenocarcinoma aggressiveness. On one hand, mir‐196a targets the valosin‐containing protein (VCP) mRNA, causing the accumulation of c‐MYC protein that leads to high amounts of TERT. On the other hand, mir‐196a targets the inhibitor of NFκB (NFKBIA).
Jesús García‐Castillo   +8 more
wiley   +1 more source

Speech synthesis from neural decoding of spoken sentences

open access: yesNature, 2019
Technology that translates neural activity into speech would be transformative for people who are unable to communicate as a result of neurological impairments.
G. Anumanchipalli   +2 more
semanticscholar   +1 more source

Coarse-to-Fine Decoding for Neural Semantic Parsing [PDF]

open access: yesAnnual Meeting of the Association for Computational Linguistics, 2018
Semantic parsing aims at mapping natural language utterances into structured meaning representations. In this work, we propose a structure-aware neural architecture which decomposes the semantic parsing process into two stages.
Li Dong, Mirella Lapata
semanticscholar   +1 more source

EEG source imaging assists decoding in a face recognition task

open access: yes, 2017
EEG based brain state decoding has numerous applications. State of the art decoding is based on processing of the multivariate sensor space signal, however evidence is mounting that EEG source reconstruction can assist decoding.
Andersen, Michael Riis   +5 more
core   +1 more source

Smaller Decoding Exponents: Ball-Collision Decoding [PDF]

open access: yes, 2011
Very few public-key cryptosystems are known that can encrypt and decrypt in time $ b^{ 2¿+¿o(1) } $with conjectured security level $2^b$ against conventional computers and quantum computers. The oldest of these systems is the classic McEliece code-based cryptosystem.
Daniel J. Bernstein   +2 more
openaire   +3 more sources

Comprehensive omics‐based classification system in adult patients with B‐cell acute lymphoblastic leukemia

open access: yesMolecular Oncology, EarlyView.
The COMBAT classification system, developed through multi‐omics integration, stratifies adult patients with B‐cell acute lymphoblastic leukemia(B‐ALL) into three molecular subtypes with distinct surface antigen patterns, immune landscape, methylation patterns, biological pathways and prognosis.
Yang Song   +11 more
wiley   +1 more source

Time encoding migrates from prefrontal cortex to dorsal striatum during learning of a self-timed response duration task

open access: yeseLife, 2022
Although time is a fundamental dimension of life, we do not know how brain areas cooperate to keep track and process time intervals. Notably, analyses of neural activity during learning are rare, mainly because timing tasks usually require training over ...
Gabriela C Tunes   +5 more
doaj   +1 more source

Fast Lexically Constrained Decoding with Dynamic Beam Allocation for Neural Machine Translation [PDF]

open access: yesNorth American Chapter of the Association for Computational Linguistics, 2018
The end-to-end nature of neural machine translation (NMT) removes many ways of manually guiding the translation process that were available in older paradigms.
Matt Post, David Vilar
semanticscholar   +1 more source

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