Results 211 to 220 of about 2,454,420 (296)

At the Crossroads of Continents: Ancient DNA Insights into the Maternal and Paternal Population History of Croatia. [PDF]

Genes (Basel)
Marjanović D, Šarac J, Havaš Auguštin D, Novak M, Bašić Ž, Kružić I, Novokmet N, Cheronet O, Gelabert P, Pinhasi R, Lauc G, Primorac D.   +11 more
europepmc   +1 more source

A Generalizable Transformer Framework for Gene Regulatory Network Inference from Single‐Cell Transcriptomes

Advanced Intelligent Systems, EarlyView.
FTGRN introduces an LLM‐enhanced framework for gene regulatory network inference through a two‐stage workflow. It combines a Transformer‐based model, pretrained on GPT‐4 derived gene embeddings and regulatory knowledge, with a fine‐tuning stage utilizing single‐cell RNA‐seq data.
Guangzheng Weng, Hyobin Kim, Patrick Martin, Junil Kim, Tae‐Hyung Kim, Gi‐Hoon Nam, Dongha Kim, Kyoung Jae Won   +7 more
wiley   +1 more source

Ancient DNA reveals 4000 years of grapevine diversity, viticulture and clonal propagation in France. [PDF]

Nat Commun
Noraz R, Chauvey L, Wagner S, Estrada O, Wales N, Bonnaire E, Cabanis M, Derreumaux M, Figueiral I, Hallavant C, Marinval P, Matterne V, Ros J, Rovira N, Tillier M, Bovagne M, Chausserie-Laprée J, Nicolas C, Daveau I, Delassus D, Gailledrat E, Ginouvez O, Houix B, Jung C, Kuchler P, Leroux L, Macario R, Marlière E, Pasqualini M, Piques G, Pomaredes H, Robert J, Roms C, Roth-Zehner M, Scrinzi M, Taras-Thomas M, Torres Costa J, Besnard G, Terral JF, Bacilieri R, Bouby L, Orlando L.   +41 more
europepmc   +1 more source

Predicting Materials Thermodynamics Enabled by Large Language Model‐Driven Dataset Building and Machine Learning

Advanced Intelligent Systems, EarlyView.
Illustration of text data mining of rare earth mineral thermodynamic parameters with the large language model‐powered LMExt. A dataset is built with mined thermodynamic properties. Subsequently, a machine learning model is trained to predict formation enthalpy from the dataset.
Juejing Liu, Haydn Anderson, Noah I. Waxman, Vsevolod Kovalev, Byron Fisher, Elizabeth Li, Xiaofeng Guo   +6 more
wiley   +1 more source

Chromosome-level genome assembly of the Siniperca obscura. [PDF]

Sci Data
Liu H, Liu H, Cui K, Lu W, Li J, Fang T, Gao N, Chen C, Zhao X, Yang K, Lin Y, Liang Y.   +11 more
europepmc   +1 more source

Feature Disentangling and Combination Implemented by Spin–Orbit Torque Magnetic Tunnel Junctions

Advanced Intelligent Systems, EarlyView.
Spin–orbit torque magnetic tunnel junctions (SOT‐MTJs) enable efficient feature disentangling and integration in image data. A proposed algorithm leverages SOT‐MTJs as true random number generators to disentangle and recombine features in real time, with experimental validation on emoji and facial datasets.
Xiaohan Li, Yingqian Xu, Caihua Wan, Ran Zhang, Meike Hindenberg, Raik Hoffmann, Shiqiang Liu, Tianyi Zhang, Shilong Xiong, Dehao Kong, Jihao Xia, Fangshuo Gao, Zhuyang Nie, Thomas Kämpfe, Guoqiang Yu, Xiufeng Han   +15 more
wiley   +1 more source

Precursors to the 1918 pandemic: Finding Rickettsia felis and Mucor co-infection associated with a death in 1912. [PDF]

Int J Paleopathol
Xiao Y, Sheng ZM, Taubenberger JK.
europepmc   +1 more source

QS4D: Quantization‐Aware Training for Efficient Hardware Deployment of Structured State‐Space Sequential Models

Advanced Intelligent Systems, EarlyView.
Quantization‐aware training creates resource‐efficient structured state space sequential S4(D) models for ultra‐long sequence processing in edge AI hardware. Including quantization during training leads to efficiency gains compared to pure post‐training quantization.
Sebastian Siegel, Ming‐Jay Yang, Younes Bouhadjar, Maxime Fabre, Emre Neftci, John Paul Strachan   +5 more
wiley   +1 more source

A chromosome level genome assembly of Homatula variegata from the Yangtze River basin. [PDF]

Sci Data
Tang Y, Wu Q, Wang Y, Jiang S, Liu L, Xian L.   +5 more
europepmc   +1 more source

Integrating Artificial Intelligence With Droplet‐Based Microfluidics: Advances, Challenges, and Emerging Opportunities

Advanced Intelligent Systems, EarlyView.
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai, Sukrit Gaira, Rongfeng Wang, Qingtian Zhang, Ming Li, Liao Wu, Diangeng Li, Yi Li, Chengchen Zhang, Jinhong Guo, Shi‐Yang Tang   +10 more
wiley   +1 more source