Results 51 to 60 of about 66,349 (195)

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

Meta-model Pruning

, 2009
Large and complex meta-models such as those of Uml and its profiles are growing due to modelling and inter-operability needs of numerous stakeholders. The complexity of such meta-models has led to coining of the term meta-muddle. Individual users often exercise only a small view of a meta-muddle for tasks ranging from model creation to construction of ...
Sen, Sagar, Moha, Naouel, Baudry, Benoit, Jézéquel, Jean-Marc   +3 more
openaire   +2 more sources

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

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

Artificial Intelligence in Autonomous Mobile Robot Navigation: From Classical Approaches to Intelligent Adaptation

Advanced Intelligent Systems, EarlyView.
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella, Angelo Cardellicchio, Cosimo Patruno, Massimiliano Nitti, Nicola Pedrocchi, Vito Renò   +5 more
wiley   +1 more source

Genome‐Wide Association Study of Symptom Change Following Cognitive Behavioral Therapy for Common Mental Disorders

American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, EarlyView.
ABSTRACT Cognitive behavioral therapy (CBT) is a well‐established, evidence‐based treatment for common mental disorders such as depression, anxiety disorders, and obsessive‐compulsive disorder (OCD). However, treatment outcomes vary widely, and a substantial proportion of patients do not achieve sufficient improvement.
Julia Bäckman, Olly Kravchenko, Matthew Halvorsen, Elles de Schipper, Ekaterina Ivanova, Viktor Kaldo, Nils Hentati Isacsson, Thorstein Olsen Eide, Kira D. Höffler, Manuel Mattheisen, Bjarne Hansen, Gerd Kvale, Kristen Hagen, Jan Haavik, David Mataix‐Cols, James J. Crowley, John Wallert, Christian Rück, Nordic OCD and Related Disorders Consortium (NORDiC), Julia Bäckman, Long‐Long Chen, James J. Crowley, Elles de Schipper, Diana Pascal, Jan Haavik, Kristen Hagen, Matthew W. Halvorsen, Bjarne Hansen, Kira D. Höffler, Fredrik Johansson, Anna K. Kähler, Elinor K. Karlsson, Gerd Kvale, Paul Lichtenstein, Kerstin Lindblad‐Toh, Manuel Mattheisen, David Mataix‐Cols, Kathleen Morrill, Christian Rück, Thorstein Olsen Eide, Nora I. Strom, John Wallert   +41 more
wiley   +1 more source

Unveiling a New Link: Cholesterol Deficiency in Smith–Lemli–Opitz and Niemann–Pick C as a Driver of Ciliopathies

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT The ciliopathies are a group of genetic disorders caused by defective function of either the primary cilia (a large number) or the motile cilia (a much smaller number). These have been defined as diseases with mutations in genes encoding individual ciliary or cilia‐associated proteins.
Robert P. Erickson, Maria Teresa Fiorenza   +1 more
wiley   +1 more source

The Age at Onset of LRRK2 p.Gly2019Ser Parkinson's Disease Across Ancestries and Countries of Origin

Annals of Neurology, EarlyView.
Objectives The objective of this study was to elucidate differences in the cumulative incidence of Leucine‐rich repeat kinase 2 (LRRK2) p.Gly2019Ser‐related Parkinson's disease (PD; LRRK2‐PD) between ancestries and countries. Methods We included 922 unrelated p.Gly2019Ser variant carriers (affected = 762 and unaffected = 160) from the Global Parkinson ...
Theresa Lüth, Björn‐Hergen Laabs, Sebastian Sendel, Inke R. König, Amke Caliebe, Alastair J. Noyce, Laurel A. Screven, Soraya Bardien, Matthew Farrer, Faycel Hentati, Rim Amouri, Christine Klein, Samia Ben Sassi, Joanne Trinh, Global Parkinson's Genetics Program (GP2)   +14 more
wiley   +1 more source

Influence of Botanical Origin on the Optical, Surface, and Nanomechanical Properties of Nanocellulose‐Based Films: A Comparative Study

Journal of Applied Polymer Science, EarlyView.
Schematic representation of the processing and multiscale characterization of nanocellulose films from different botanical sources. ABSTRACT Although the influence of botanical origin on nanocellulose properties is well recognized, an integrated multiscale framework linking chemical composition, fractal surface descriptors, and nanomechanical behavior ...
Márcia da Silva Costa, Erveton Pinheiro Pinto, Mário Vanoli Scatolino, Rodrigo Prioli Menezes, Adriano Reis Prazeres Mascarenhas, Matheus Cordazzo Dias, Gustavo Henrique Denzin Tonoli, Lina Bufalino, Francisco Tarcísio Alves Junior, Tiago Marcolino de Souza   +9 more
wiley   +1 more source

Detecting cryptic ghost lineage introgression in four‐taxon genomic datasets

Applications in Plant Sciences, EarlyView.
Abstract Premise Hybridization and introgression are pervasive evolutionary forces that have played fundamental roles in shaping the diversity of wild and domesticated plants. Four‐taxon tests for introgression provide a reliable framework for detecting signatures of ancient introgression from genomic data, which have played an important role in ...
Evan S. Forsythe, Blaine S. Pappa, Darren A. Clavette, Devin Y. Mendoza   +3 more
wiley   +1 more source