Results 231 to 240 of about 1,283,507 (343)
We conducted a cross‐organ review of surgical outcomes in older cancer patients based on literature cited in Japanese clinical guidelines. This study summarizes postoperative complication rates and survival outcomes across five major cancer types. The findings aim to support the development of geriatric oncology surgical guidelines tailored to Japan's ...
Chie Tanaka+14 more
wiley +1 more source
Audit of a monitoring service for free phenytoin. [PDF]
GM Peterson+3 more
openalex +1 more source
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod+10 more
wiley +1 more source
Large Language Model‐Based Chatbots in Higher Education
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+4 more
wiley +1 more source
This article offers a comprehensive review of topic modeling techniques, tracing their evolution from inception to recent developments. It explores methods such as latent Dirichlet allocation, latent semantic analysis, non‐negative matrix factorization, probabilistic latent semantic analysis, Top2Vec, and BERTopic, highlighting their strengths ...
Pratima Kumari+6 more
wiley +1 more source
An Inquiry Into Selected Problems of Auditing Computer-Based Accounting Systems.
Steven Flory
openalex +2 more sources
Bioinspired Tactile Object Identification Leveraging Deep Learning and Soft Body Compliance
Herein, it is demonstrated that a soft robotic hand, integrated with low‐resolution tactile sensors, can effectively identify a variety of objects with high accuracy by combining multi‐grasp information. Central to this approach is the development of ROSE‐Net, a specialized neural network designed to harness the data from multiple grasps.
Oliver Shorthose+3 more
wiley +1 more source