Results 41 to 50 of about 19,347 (198)

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

Parallel decoding of turbo codes using multi-point trellis termination and collision-free interleavers [PDF]

The UMTS turbo encoder is composed of parallel concatenation of two Recursive Systematic Convolutional (RSC) encoders which start and end at a known state. This trellis termination directly affects the performance of turbo codes.
Kale, I., Kale, I., Morling, R.C.S., Morling, R.C.S., Taskaldiran, M., Taskaldiran, M.   +5 more
core   +1 more source

Interleaving Gains for Receive Diversity Schemes of Distributed Turbo Codes in Wireless Half–Duplex Relay Channels [PDF]

, 2015
This paper proposes the interleaving gain in two different distributed turbo-coding schemes: Distributed Turbo Codes (DTC) and Distributed Multiple Turbo Codes (DMTC) for half-duplex relay system as an extension of our previous work on turbo coding ...
Ejaz, S., Soliman, Tamer H. M., Yang, Fengfan   +2 more
core   +2 more sources

Neurodevelopmental Disorder with Dystonia and Chorea Linked to De Novo Variants in the Splicing Regulator SRRM4

Movement Disorders, EarlyView.
Abstract Background SRRM4 is an exclusively neural‐expressed splicing‐factor gene not yet associated with a monogenic condition. Objective We sought to delineate movement disorders caused by SRRM4 variants. De novo splice‐donor‐site variants at position +2 of intron 5 of SRRM4 (c.464+2T>C, c.464+2T>A) occurred in three unrelated patients with dystonia ...
Philip Harrer, Volker Kittke, Alice Saparov, Alexej Knaus, Shimriet Zeidler, Rachel Schot, Florian Kraft, Matthias Begemann, Suzanna Koudijs, Ugo Sorrentino, Chen Zhao, Ivana Dzinovic, Martin Pavlov, Elisabeth Graf, Antonia M. Stehr, Peter M. Krawitz, Christian Wilhelm, Saskia Biskup, Fahd Alsalloum, Steffen Berweck, Juliane Winkelmann, Konrad Oexle, Ingo Kurth, G. Christoph Korenke, Michael Zech   +24 more
wiley   +1 more source

Using large language models to automate herbarium specimen transcription: A case study at the Missouri Botanical Garden

PLANTS, PEOPLE, PLANET, EarlyView.
Biological specimens housed in natural history collections are indispensable resources for documenting where species occur and how they have changed through time, and are thus vital for combating biodiversity loss. Digitization of these collections promises to make these critical resources globally available.
Matthew W. Austin, Alexander G. Linan, Mike Blomberg, Heidi H. Schmidt, Jordan K. Teisher   +4 more
wiley   +1 more source

Multitype Game Optimisation: A Two‐Stage Fine‐Tuning Framework for Multi‑Game Optimisation With Large Language Models

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Large language models (LLMs) have made remarkable advances in natural language processing, demonstrating great potential in modelling structured sequences. However, adapting these capabilities to machine gaming tasks such as Go remains challenging due to limitations in strategy generalisation and optimisation efficiency.
Xiali Li, Jingshi Gu, Feifan He, Yang Xiao, Yuanli Jia, Ping Lan   +5 more
wiley   +1 more source

Analysis and Design of Tuned Turbo Codes [PDF]

, 2012
It has been widely observed that there exists a fundamental trade-off between the minimum (Hamming) distance properties and the iterative decoding convergence behavior of turbo-like codes.
Costello, Daniel J. Jr., Graell i Amat, Alexandre, Kliewer, Joerg, Koller, Christian, Lund University., Vatta, Francesca, Zigangirov, Kamil,   +6 more
core   +2 more sources

Caution Ahead: Numerical Reasoning and Look‐Ahead Bias in AI Models

Journal of Accounting Research, EarlyView.
ABSTRACT Recent work within accounting and finance has highlighted that modern AI systems exhibit superhuman performance on a variety of foundational activities within these fields. However, the literature often does not provide economic rationale for why AI models seem to outperform, largely because these models are a black box.
BRADFORD LEVY
wiley   +1 more source

LLM‐based prior elicitation for Bayesian graphical modeling

British Journal of Mathematical and Statistical Psychology, EarlyView.
ABSTRACT In the Bayesian graphical modeling framework, priors on network structure encode theoretical assumptions and uncertainty about the topology of psychological constructs under study. For instance, the Bernoulli prior specifies the probability of each pairwise interaction, the Beta–Bernoulli prior governs expected network density, and the ...
Nikola Sekulovski, Meike Waaijers, Giuseppe Arena   +2 more
wiley   +1 more source

Lower density of calretinin‐immunopositive neurons in the putamen of subjects with schizophrenia

Journal of Anatomy, Volume 246, Issue 4, Page 505-516, April 2025.
Recent neuroimaging and histological studies highlight the striatum as a key area involved in SCH, but the specific impairment of neuronal subtypes in subcortical structures is not fully understood. This study is the first detailed investigation of neuroanatomical changes in the putamen in SCH, specifically examining the density of calretinin ...
Paz Kelmer, Paulina Hoppa, Erzsébet Frank, Teadora Tyler, Istvan Adorjan   +4 more
wiley   +1 more source