Results 131 to 140 of about 294,260 (277)
Hallucination‐Free? Assessing the Reliability of Leading AI Legal Research Tools
ABSTRACT Legal practice has witnessed a sharp rise in products incorporating artificial intelligence (AI). Such tools are designed to assist with a wide range of core legal tasks, from search and summarization of caselaw to document drafting. However, the large language models used in these tools are prone to “hallucinate,” or make up false information,
Varun Magesh+5 more
wiley +1 more source
Improved Frequency Domain Turbo Equalization with Expectation Propagation Interference Cancellation in Underwater Acoustic Communications. [PDF]
Jiang B+5 more
europepmc +1 more source
Effects on the number of days required to reach the maximum hemagglutinin (HA) content did not solely depend on the transgene transcript levels, regardless of the accumulation compartment. Effects on the reduction rate after the maximum HA content correlated with endoplasmic reticulum stress response, depending on the accumulation compartment ...
Patthasarun Pruksarojanakul+4 more
wiley +1 more source
Abstract Tristetraprolin (TTP) is an RNA‐binding protein that negatively regulates its target mRNAs and has been shown to inhibit tumor progression and invasion. Tumor invasion requires precise regulation of cytoskeletal components, and dysregulation of cytoskeleton‐associated genes can significantly alter cell motility and invasive capability. Several
Anastasiia Hubiernatorova+5 more
wiley +1 more source
Multi‐Metric Approach for the Comparison of Denoising Techniques for Resting‐State fMRI
The present study aims at defining an appropriate denoising strategy for resting‐state fMRI data by quantitatively comparing the performance of multiple pipelines in terms of both artifact removal and signal preservation, including resting‐state network identifiability.
Federica Goffi+4 more
wiley +1 more source
Unpacking SDXL Turbo: Interpreting Text-to-Image Models with Sparse Autoencoders [PDF]
Sparse autoencoders (SAEs) have become a core ingredient in the reverse engineering of large-language models (LLMs). For LLMs, they have been shown to decompose intermediate representations that often are not interpretable directly into sparse sums of interpretable features, facilitating better control and subsequent analysis. However, similar analyses
arxiv
ABSTRACT Extracellular vesicles (EVs) are cell‐produced, membrane‐surrounded vesicles that harbour the biological features of donor cells. In the current study, we are the first to isolate and characterize EVs isolated from human precision‐cut liver slices (PCLS), obtained from both healthy and metabolic dysfunction‐associated steatohepatitis (MASH ...
Yana Geng+9 more
wiley +1 more source
Improvement Of Block Product Turbo Coding By Using A New Concept Of Soft Hamming Decoder
Alaa Ghaith
openalex +2 more sources
The Effect of Block Interleaving in an LDPC-Turbo Concatenated Code [PDF]
Sang Hoon Lee, Eon Kyeong Joo
openalex +1 more source
Abstract Background Diffusion‐weighted (DW) turbo‐spin‐echo (TSE) imaging offers improved geometric fidelity compared to single‐shot echo‐planar‐imaging (EPI). However, it suffers from low signal‐to‐noise ratio (SNR) and prolonged acquisition times, thereby restricting its applications in diagnosis and MRI‐guided radiotherapy (MRgRT).
Yan Dai+4 more
wiley +1 more source