Keyword mapping demonstrated three co-dominant hubs centered on artificial intelligence, machine learning, and deep learning, while co-citation analysis identified foundational clusters rooted largely in computer science methodology.
Deep-learning models have transformed our ability to predict the phenotypic effects of sequence perturbations. Protein language models (pLMs) score the evolutionary propensity of any amino-acid substitution, emerging as fast and accurate predictors of fitness changes. Inverse-folding (IF) models add structural informat...
Ezequiel A. Galpern, Charles W. J. Pugh, Mafalda Dias et al.· ChemRxiv· 0 citations
Technical report, version 1.0.0, in English and Thai, deposited as a preprint. Both editions are included as PDF, in full, one file per language. The report asks whether a token-level N-gram memory (Engram) reduces Thai transcription errors when added to a frozen Qwen3-ASR-0.6B, and what three numerical precisions cost...
Thanabodee Nammungkun· Zenodo (CERN European Organi...· 0 citations
This Zenodo record is a permanently preserved version of a Structured PREreview. You can view the complete PREreview at https://prereview.org/reviews/22943839. Does the introduction explain the objective of the research presented in the preprint? Yes 1. Establishes Clinical Unmet Need: It highlights that lung squamous...
Jhishnuraj Kannan· Zenodo (CERN European Organi...· 0 citations
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The first recurring message is that operative quality begins before the incision. Zheng et al. developed an ultrasonography-based model and simplified score to distinguish retroperitoneal ganglioneuroma from schwannoma in 74 patients. Optimism-corrected areas under the curve were 0.930 and 0.917, respectively, but the...
Aobo Zhuang, Bin Zhou, M. Xiao· Frontiers in Surgery· 0 citations
The results show that although generative SLMs can be efficiently deployed on resource-constrained edge devices, structurally regularized extractive encoders provide significantly better performance for precise opinion mining on highly imbalanced data.
Chathurvedi V. Rama Chandra, T. Padmavathy· Frontiers in Artificial Inte...· 0 citations
Abstract Background Mid-acuity emergency department (ED) attendances are clinically heterogeneous; a small subset deteriorate early, but broad escalation would create substantial review burden. We evaluated whether retrieval augmentation improved low-burden risk enrichment versus a prompt-only large language model (LLM...
Ching Yan Li, TL Wong, Hang Sheung Wong· BMC Emergency Medicine· 0 citations
Technical report, version 1.0.1, in English and Thai, deposited as a preprint. Both editions are included as PDF, in full, one file per language. This version expands the background and introduction, revises the academic prose in both languages, and corrects the parameter count and evaluation-protocol details. The repo...
Thanabodee Nammungkun· Zenodo (CERN European Organi...· 0 citations
This paper reports a complete end-to-end experiment in complex-valued language modeling. We take the mathematical theory developed in The Dagger and the Query: A Unified Mathematical Theory of Complex, Unitary, and Quantum Attention (Suansook, 2026) and instantiate it as a working system: a character-level ComplexGPT t...
This Zenodo record is a permanently preserved version of a Structured PREreview. You can view the complete PREreview at https://prereview.org/reviews/22943839. Does the introduction explain the objective of the research presented in the preprint? Yes 1. Establishes Clinical Unmet Need: It highlights that lung squamous...
Jhishnuraj Kannan· Zenodo (CERN European Organi...· 0 citations
This deposit holds the toolkit, the synthetic corpus generator and its seed, the twelve-template probe matrix, the retained per-query records of every condition (414,720 probes), the result bundles and the LoRA adapters behind the study "CN-PIIBench-Lite: Measuring Chinese PII Memorization and Cross-Lingual Leakage in...
Mo Ming, Davood Pour Yousefian Barfeh· Zenodo (CERN European Organi...· 0 citations
Dementia Language Models are introduced—a generalizable and controllable representation of cognitive impairment through language—alongside an evaluation framework for establishing their validity and clinical grounding and could support clinician training, hypothesis generation, and scalable experimentation, reserving p...
Lotem Peled-Cohen, Amit Shmidov, Netaniel Rein et al.· bioRxiv· 0 citations