Results 51 to 60 of about 4,144,297 (347)

The ubiquitin‐proteasome system and autophagy as guardians of the cellular proteome

FEBS Letters, EarlyView.
This Perspective covers the three principles governing the crosstalk between the ubiquitin‐proteasome system and autophagy in cellular proteostasis: (1) a shared ubiquitin code routing substrates via shuttle factors or autophagy receptors; (2) spatial compartmentalization into phase‐separated degradation hubs and organelle‐specific modules (exemplified
Ivan Dikic
wiley   +1 more source

ChatGPT and general-purpose AI count fruits in pictures surprisingly well without programming or training

Smart Agricultural Technology
General-purpose artificial intelligence (AI) can facilitate agricultural digitalization as many tools do not require coding. Yet, it remains unclear how well the emerging general-purpose AI technologies can perform object counting, which is a fundamental
Konlavach Mengsuwan, Juan C. Rivera-Palacio, Masahiro Ryo   +2 more
doaj   +1 more source

Large Language Models Are Biased Because They Are Large Language Models

Computational Linguistics
Abstract This position paper’s primary goal is to provoke thoughtful discussion about the relationship between bias and fundamental properties of large language models (LLMs). I do this by seeking to convince the reader that harmful biases are an inevitable consequence arising from the design of any large language model as LLMs are ...
openaire   +2 more sources

An unexpected alternative viologen electron mediator site in tungsten‐containing formate dehydrogenase

FEBS Letters, EarlyView.
An unexpected alternative interaction site for ethyl viologen was identified in formate dehydrogenase 1 from Methylorubrum extorquens. Combined mutagenesis, kinetic analysis, and docking revealed that aromatic residues near an iron–sulfur cluster enable flavin mononucleotide‐independent electron transfer, offering a framework for engineering improved ...
Eleni G. Poloniataki, Yong Hwan Kim
wiley   +1 more source

Review of key technologies in knowledge graphs powered by code large language models

大数据
Traditional knowledge graph technologies still face significant challenges in converting human knowledge, expressed in natural language, into a formal language-based knowledge graph and utilizing it effectively.
LI Zixuan, BAI Long, REN Weicheng, SU Miao, LIU Wenxuan, CHEN Lei³, JIN Xiaolong   +6 more
doaj   +2 more sources

Pre‐analytical optimization of cell‐free DNA and extracellular vesicle‐derived DNA for mutation detection in liquid biopsies

Molecular Oncology, EarlyView.
Pre‐analytical handling critically determines liquid biopsy performance. This study defines practical best‐practice conditions for cell‐free DNA (cfDNA) and extracellular vesicle–derived DNA (evDNA), showing how processing time, storage conditions, tube type, and plasma input volume affect DNA integrity and mutation detection.
Jonas Dohmen, Lucrezia De Santis, Bret M. Stephens, Vincent Bernard, Jörg C. Kalff, Lara Braun, Phillipp Leyendecker, Johannes Röttgen, Daniel Weissinger, Anirban Maitra, Paola A. Guerrero, Alexander Semaan   +11 more
wiley   +1 more source

Flight Arrival Scheduling via Large Language Model

Aerospace
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, Jinlin Wang, Longtao Zhu, Yi Wang, Yulong Ji   +4 more
doaj   +1 more source

Fine-Tuning of Large Language Models for Knowledge Injection and Question-Answering

, 2023
reservedLarge Language Models (LLMs) have taken the world by storm, creating a competitive market and compelling even established tech giants to join this rapidly evolving landscape.
ZERBINATI, ALBERTO
core  

Large-scale reordering model for statistical machine translation using dual multinomial logistic regression [PDF]

, 2014
Phrase reordering is a challenge for statistical machine translation systems. Posing phrase movements as a prediction problem using contextual features modeled by maximum entropy-based classifier is superior to the commonly used lexicalized reordering ...
Niranjan, Mahesan, Mahesan Niranjan, Abdullah Alrajeh, Alrajeh, Abdullah, Mahesan Niranjanb, Abdullah Alrajehab   +5 more
core   +1 more source

A Comprehensive Survey of Large Language Models and Multimodal Large Language Models in Medicine

Information Fusion
Since the release of ChatGPT and GPT-4, large language models (LLMs) and multimodal large language models (MLLMs) have attracted widespread attention for their exceptional capabilities in understanding, reasoning, and generation, introducing transformative paradigms for integrating artificial intelligence into medicine.
Hanguang Xiao, Feizhong Zhou, Xingyue Liu, Tianqi Liu, Zhipeng Li, Xin Liu, Xiaoxuan Huang   +6 more
openaire   +2 more sources