Results 91 to 100 of about 52,931 (300)

TRMT6‐Mediated m1A Modification of CDK9 mRNA Is a Dual‐Pronged Pathogenic Driver for HBV‐Related Hepatocellular Carcinoma

Advanced Science, EarlyView.
TRMT6‐mediated m1A modification in CDK9 mRNA enhances its mRNA stability and translation efficiency, thereby increasing the protein levels of CDK9. Upregulated CDK9 promotes the progression of HCC by elevating the levels of oncogenic factors including p‐STAT3, MCL1, and BCL‐2. On the other hand, CDK9 phosphorylates TARDBP at Ser254 to activate HBV core
Rui Zhang, Dandan Zong, Rui Liu, Yubo Wang, Qingqing Gu, Yao Yao, Wenfang Zheng, Mengmeng Yuan, Simeng Wang, Rongrong Cui, Daxu Li, Siwen Dang, Peng Hou   +12 more
wiley   +1 more source

Trauma triage performance of large language models on raw Turkish emergency notes: Artificial intelligence versus human expertise

Hong Kong Journal of Emergency Medicine
Objectives Large language models, such as GPT‐4o, have demonstrated potential in clinical decision‐making; however, their reliability in high‐stakes environments, including emergency department triage, remains uncertain.
İbrahim Sarbay, Melike Mercan Başpinar, Keith Grimes, Asım Bedri Erdem, Yunus Emre Gemici, Taha Yilmaz, Alper Görkem Çimen, Fatih Aslan, Mustafa Çalik   +8 more
doaj   +1 more source

ID7.11 - Completed user study and report on the graphical planning tool [PDF]

, 2009
Herder, E., Kärger, P., Hernández-Leo, D., Melero, J., & Arroyo, E. (2009). ID7.11 - Completed user study and report on the graphical planning tool. TENCompetence.In this internal deliverable we report about the evaluation of the Graphical PDP Planning ...
Arroyo, Ernesto, Herder, Eelco, Hernández-Leo, Davinia, Kärger, Philipp, Melero, Javier   +4 more
core  

Evaluating the Utilities of Foundation Models in Single‐Cell Data Analysis

Advanced Science, EarlyView.
This study delivers the first systematic, task‐level evaluation of single‐cell foundation models across eight core analytical tasks. By benchmarking 10 leading models with the scEval framework, it reveals where foundation models truly add value, where task‐specific methods still dominate, and provides concrete, reproducible guidelines to steer the next
Tianyu Liu, Kexing Li, Yuge Wang, Hongyu Li, Hongyu Zhao   +4 more
wiley   +1 more source

Exploring Effectiveness of GPT-3 in Grammatical Error Correction: A Study on Performance and Controllability in Prompt-Based Methods

, 2023
Large-scale pre-trained language models such as GPT-3 have shown remarkable performance across various natural language processing tasks. However, applying prompt-based methods with GPT-3 for Grammatical Error Correction (GEC) tasks and their ...
Kaneko, Masahiro, Loem, Mengsay, Okazaki, Naoaki, Takase, Sho   +3 more
core  

Machine Learning for Green Solvents: Assessment, Selection and Substitution

Advanced Science, EarlyView.
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta, Janhavi Nistane, Abhishek Sose, Harikrishna Sahu, Rampi Ramprasad   +4 more
wiley   +1 more source

Application of generative language models to orthopaedic practice

BMJ Open
Objective To explore whether large language models (LLMs) Generated Pre-trained Transformer (GPT)-3 and ChatGPT can write clinical letters and predict management plans for common orthopaedic scenarios.Design Fifteen scenarios were generated and ChatGPT ...
Andrew Jones, Nicholas Cereceda-Monteoliva, Jessica Caterson, Olivia Ambler, Matthew Horner, Arwel Tomos Poacher   +5 more
doaj   +1 more source

Análisis de técnicas de estimulación para minimizar y remediar los daños de formación por migración de finos en el reservorio hollín, del campo Palo Azul [PDF]

, 2014
Tesis basada en el análisis de técnicas de estimulación para minimizar y remediar los daños de formación por migración de finos en el reservorio hollín, con la selección de la técnica de estimulación más adecuada, para optimizar la producción de petróleo.
Caiza Remache, Byron Vinicio, Méndez Carrión, Edison Andrés   +1 more
core  

Combating VEGFA‐siRNA‐Induced Metabolic Reprogramming via Glucose Utilization Deprivation

Advanced Science, EarlyView.
An ionizable lipid nanoparticle co‐delivers VEGFA siRNA and glucose oxidase to tumors to counteract VEGFA knockdown‐induced, glutamine‐driven metabolic compensation. Enzymatic glucose consumption reverses the adaptive pathways and restores metabolism toward baseline, thereby sensitizing tumors to therapy.
Lulu Zheng, Shuai Guo, Yingjixing Luo, Pengfei Wu, Haiyin Yang, Yingqiu Xie, Yuchuan Fan, Qing Liu, Bo Hu, Jia Huang, Yuanyu Huang   +10 more
wiley   +1 more source

DADA Enhances CD8+ T Cell Stemness to Improve Anti‐Tumor Immunity and Immunotherapy Efficacy

Advanced Science, EarlyView.
Diisopropylamine dichloroacetate (DADA) enhances CD8+ T cell stemness by improving OXPHOS and mitochondrial fitness in a PDK1‐depenpendent manner. This metabolic shift strengthens CD8+ T cell anti‐tumor immunity, improves responses to PD‐1 blockade, and endows CAR‐T cells with prolonged persistence and resistance to terminal exhaustion, highlighting a ...
Mingyue Bi, Fei Li, Heng Jiang, Lingling Gu, Mengjie Sun, Kunyu Lu, Pianpian Liu, Ruyue Xie, Wenqiang Ma, Meijuan Zheng, Xianwei Wang, Xuefu Wang, Jingjing Cong   +12 more
wiley   +1 more source