Results 51 to 60 of about 38,553 (237)

COVID-19 and Historic Influenza Vaccinations in the United States: A Comparative Analysis

Vaccines, 2021
The COVID-19 vaccination effort is a monumental global challenge. Recognizing and addressing the causes of vaccine hesitancy will improve vaccine uptake.
Pranav Mirpuri, Richard A. Rovin
doaj   +1 more source

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

Advanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee, Hyeonbin Moon, Junhyeong Lee, Seunghwa Ryu   +3 more
wiley   +1 more source

Exploring the Possibility of Medical Device Surveillance in Patients on Peritoneal Dialysis Using a Common Data Model

Medicina
Background and Objectives: Peritoneal dialysis (PD) requires well-functioning medical devices (MDs). PD complications can result in significant adverse events, including the discontinuation of PD, hospitalization, and death.
Seon Min Kim, Sooin Choi, You Kyoung Lee, Cheol Wan Lim, Byung Chul Yu, Moo Yong Park, Jin Kuk Kim, Seng Chan You, Seo Jeong Shin, Soo Jeong Choi   +9 more
doaj   +1 more source

Raman Molecular Fingerprints of Rice Nutritional Quality and the Concept of Raman Barcode

Frontiers in Nutrition, 2021
The nutritional quality of rice is contingent on a wide spectrum of biochemical characteristics, which essentially depend on rice genome, but are also greatly affected by growing/environmental conditions and aging during storage.
Giuseppe Pezzotti, Giuseppe Pezzotti, Giuseppe Pezzotti, Giuseppe Pezzotti, Giuseppe Pezzotti, Wenliang Zhu, Haruna Chikaguchi, Elia Marin, Elia Marin, Francesco Boschetto, Francesco Boschetto, Takehiro Masumura, Yo-Ichiro Sato, Tetsuya Nakazaki   +13 more
doaj   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Effect of a clinical evidence technology on patient skin disease outcomes in primary care: a cluster-randomized controlled trial

Journal of the Medical Library Association, 2019
Objective: Providers’ use of clinical evidence technologies (CETs) improves their diagnosis and treatment decisions. Despite these benefits, few studies have evaluated the impact of CETs on patient outcomes.
Marianne Burke, Benjamin Littenberg
doaj   +1 more source

JICST factual database. JICST/NRIM materials strength database for engineering steels and alloys.

Journal of Information Processing and Management, 1990
1990年3月よりJOIS-Fの新しいデータベースとしてJICST/NRIM金属材料強度データベースのサービスが開始された。本データベースは, 日本科学技術情報センターと科学技術庁金属材料技術研究所による共同研究を基に開発されたもので, 構造用材料を中心とした金属材料の強度特性データ(クリープ, 疲労特性等)を蓄積し, オンラインによる検索・回答および統計解析とその結果のグラフィック表示を可能にしたものである。本データベースの内容について, 蓄積されたデータとシステムの両面から概説した。
Kazuaki SUZUKI, Kazuki SHIMURA, Yoshio MONMA, Masao SAKAMOTO, Hiroshi MORISHITA, Kenji KANAZAWA   +5 more
openaire   +2 more sources

Forecasting Research Trends Using Knowledge Graphs and Large Language Models

Advanced Intelligent Systems, EarlyView.
When research trends can be anticipated, academia and industry are able to allocate limited resources more effectively and accelerate innovation. By constructing knowledge graphs using large language models, this study analyzes the time evolution of nuclear materials research concepts and suggests a data‐driven approach of forecasting research trends ...
Maciej Tomczak, Yang Jeong Park, Chia‐Wei Hsu, Payden Brown, Dario Massa, Piotr Sankowski, Ju Li, Stefanos Papanikolaou   +7 more
wiley   +1 more source

Building an Intelligent Cardiovascular System Platform: Embedding Artificial Intelligence across All Facets of Cardiovascular Medicine

Advanced Intelligent Systems, EarlyView.
This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong, Xingwei Zhao, Qiuting Li, Yang Yu, Chunxiang Zhang   +4 more
wiley   +1 more source

SciLitMiner: An Intelligent System for Scientific Literature Mining and Knowledge Discovery

Advanced Intelligent Systems, EarlyView.
SciLitMiner is an intelligent system that federately ingests scientific literature, filters it using advanced information retrieval methods, and applies retrieval‐augmented generation tailored to scientific domains. Demonstrated on creep deformation in γ‐TiAl alloys, SciLitMiner provides a controlled workflow for systematic knowledge discovery and ...
Vipul Gupta, Jonathan David Heaton Paul, Ingo Schmitt, Florian Pyczak   +3 more
wiley   +1 more source