Results 61 to 70 of about 3,038,337 (264)

Nuclear pore links Fob1‐dependent rDNA damage relocation to lifespan control

open access: yesFEBS Open Bio, EarlyView.
Damaged rDNA accumulates at a specific perinuclear interface that couples nucleolar escape with nuclear envelope association. Nuclear pores at this site help inhibit Fob1‐induced rDNA instability. This spatial organization of damage handling supports a functional link between nuclear architecture, rDNA stability, and replicative lifespan in yeast.
Yamato Okada   +5 more
wiley   +1 more source

Speeding up Context-based Sentence Representation Learning with Non-autoregressive Convolutional Decoding

open access: yes, 2018
Context plays an important role in human language understanding, thus it may also be useful for machines learning vector representations of language.
de Sa, Virginia R.   +4 more
core   +1 more source

Chameleon sequences reveal structural effects in proteins representing micelle‐like distribution of hydrophobicity

open access: yesFEBS Open Bio, EarlyView.
Amino acids sequence of two different proteins with the same sequence (chameleon sequence—black boxes) represent in 3D structure of the proteins different secondary structures: HHHH—helical and BBB—Beta‐structural. The chains folded in water environment adopt different III‐order structures in which the chameleon fragments appear to adopt similar status
Irena Roterman   +4 more
wiley   +1 more source

Comparison of Large Language Model with Aphasia

open access: yesAdvanced Science
Large language models (LLMs) respond fluently but often inaccurately, which resembles aphasia in humans. Does this behavioral similarity indicate any resemblance in internal information processing between LLMs and aphasic humans?
Takamitsu Watanabe   +4 more
doaj   +1 more source

Flight Arrival Scheduling via Large Language Model

open access: yesAerospace
The flight arrival scheduling problem is one of the critical tasks in air traffic operations, aiming to ensure that the flight arrive in the correct sequence safely. Existing methods primarily focus on the terminal area and often overlook the presence of
Wentao Zhou   +4 more
doaj   +1 more source

When Large Language Models contradict humans? Large Language Models' Sycophantic Behaviour

open access: yes, 2023
Large Language Models have been demonstrating broadly satisfactory generative abilities for users, which seems to be due to the intensive use of human feedback that refines responses. Nevertheless, suggestibility inherited via human feedback improves the inclination to produce answers corresponding to users' viewpoints.
Ranaldi, Leonardo, Pucci, Giulia
openaire   +2 more sources

Development of human monoclonal antibodies against TARM1 by yeast display

open access: yesFEBS Open Bio, EarlyView.
Human monoclonal antibodies against TARM1 are generated by yeast display‐guided selection. These antibodies bind to soluble and cell‐surface forms of TARM1. Also, these antibodies exhibit agonistic activity in the NFAT‐GFP reporter assay, indicating that TARM1 signaling can be functionally modulated by antibodies and suggesting TARM1 as a potential ...
Rikio Yabe   +5 more
wiley   +1 more source

Text clustering with large language model embeddings

open access: yesInternational Journal of Cognitive Computing in Engineering
Text clustering is an important method for organising the increasing volume of digital content, aiding in the structuring and discovery of hidden patterns in uncategorised data.
Alina Petukhova   +2 more
doaj   +1 more source

Proteasomal degradation of intracellularly expressed Amblyomin‐X limits suicide gene therapy potential in melanoma cells

open access: yesFEBS Open Bio, EarlyView.
This study explores the feasibility of expressing the antitumoral protein Amblyomin‐X through a suicide gene therapy approach and investigates its intracellular fate after gene delivery. Although the gene is efficiently expressed, melanoma cells rapidly degrade the Amblyomin‐X protein via proteasome activity.
Victor Dal Posolo Cinel   +4 more
wiley   +1 more source

Large language model use in clinical oncology

open access: yesnpj Precision Oncology
Large language models (LLMs) are undergoing intensive research for various healthcare domains. This systematic review and meta-analysis assesses current applications, methodologies, and the performance of LLMs in clinical oncology.
Nicolas Carl   +8 more
doaj   +1 more source

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