Results 101 to 110 of about 302,572 (324)

Clinical burden and treatment patterns associated with Dravet or Lennox-Gastaut syndromes: A retrospective study using natural language processing of narrative unstructured electronic health records

Heliyon
Introduction: This study aimed to investigate the clinical and humanistic burden in two developmental and epileptic encephalopathies, Dravet syndrome and Lennox-Gastaut syndrome, and describe challenges related to treatment with antiseizure medications ...
Mei Lu, Dave Iwanyckyj, Sally W. Wade, Pablo Racana, Fernando Otalora, Satish Rao   +5 more
doaj   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Volatility analysis and forecasting of vegetable prices using an ARMA‐GARCH model: An application of the CF filter and seasonal adjustment method to Korean green onions

Agribusiness, EarlyView.
Abstract The vegetable market experiences significant price fluctuations due to the complex interplay of trend, cyclical, seasonal, and irregular factors. This study takes Korean green onions as an example and employs the Christiano–Fitzgerald filter and the CensusX‐13 seasonal adjustment methods to decompose its price into four components: trend ...
Yiyang Qiao, Byeong‐il Ahn
wiley   +1 more source

Determinants of Knowledge and Usage of Generative Artificial Intelligence in Agricultural Extension: Evidence From Tennessee Extension Personnel

Agribusiness, EarlyView.
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani, Jason de Koff, James Muriuki, Anna‐Liisa Ihuhwa   +3 more
wiley   +1 more source

Communication models in a foreign language in relation to cognitive style category width and power distance

Frontiers in Psychology
IntroductionUnderstanding how category width of cognitive style and power distance impact language use in cultures is crucial for improving cross-cultural communication. We attempt to reveal how English foreign language students, affected by high-context
Dasa Munkova, Eva Stranovska, Michal Munk, Michal Munk   +3 more
doaj   +1 more source

An integrated architecture for shallow and deep processing [PDF]

, 2011
We present an architecture for the integration of shallow and deep NLP components which is aimed at flexible combination of different language technologies for a range of practical current and future applications.
Becker, Markus, Crysmann, Berthold, Frank, Anette, Kiefer, Bernd, Krieger, Hans-Ulrich, Müller, Stefan, Neumann, Günter, Piskorski, Jakub, Schäfer, Ulrich, Siegel, Melanie, Uszkoreit, Hans, Xu, Feiyu   +11 more
core  

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

NLP Lean Programming Framework: Developing NLP Applications More Effectively [PDF]

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations, 2018
This paper presents NLP Lean Programming framework (NLPf), a new framework for creating custom Natural Language Processing (NLP) models and pipelines by utilizing common software development build systems. This approach allows developers to train and integrate domain-specific NLP pipelines into their applications seamlessly. Additionally, NLPf provides
Marc Schreiber, Bodo Kraft, Albert Zündorf   +2 more
openaire   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

BATRACIO: BAsic, TRAnslational, Clinical, Research Phase Identification in BiOmedical Publications

IEEE Access
The increasing interest from research agencies, governments, and universities in understanding research funding and prioritising research efforts has highlighted the need for reliable and efficient methods for exploring research portfolios. In biomedical
Nicolau Duran-Silva, Jorge Carrillo-de-Albornoz, Laura Plaza, Sara Ricardo, Francesco A. Massucci, Sonia Veiga, Arnau Ramos-Prats   +6 more
doaj   +1 more source