Results 41 to 50 of about 1,934,537 (295)

Extracting Fruit Disease Knowledge from Research Papers Based on Large Language Models and Prompt Engineering

Applied Sciences
In China, fruit tree diseases are a significant threat to the development of the fruit tree industry, and knowledge about fruit tree diseases is the most needed professional knowledge for fruit farmers and other practitioners in the fruit tree industry ...
Yunqiao Fei, Jingchao Fan, Guomin Zhou
doaj   +1 more source

Cybersecurity Knowledge Extraction Using XAI

Applied Sciences, 2022
Global networking, growing computer infrastructure complexity and the ongoing migration of many private and business aspects to the electronic domain commonly mandate using cutting-edge technologies based on data analysis, machine learning, and ...
Ana Šarčević, Damir Pintar, Mihaela Vranić, Agneza Krajna   +3 more
doaj   +1 more source

Increased Risk of Sarcomas in Children With Congenital Anomalies: Findings From the Genetic Overlap Between Anomalies and Cancer in Kids (GOBACK) Registry Linkage Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric sarcomas are a heterogeneous group of tumors that contribute disproportionately to cancer mortality in children. Although congenital anomalies are among the strongest known risk factors for childhood cancer, the risk of specific sarcoma subtypes among affected individuals has not yet been thoroughly evaluated. Procedure We
Russ Wolters, Ji Yun Tark, Tiffany M. Chambers, Tania A. Desrosiers, Michael E. Scheurer, Charles Shumate, Wendy N. Nembhard, Mahsa M. Yazdy, Eirini Nestoridi, Amanda E. Janitz, Jean Paul Tanner, Russell S. Kirby, Jason L. Salemi, Yao Yu, Chad D. Huff, Sharon E. Plon, Philip J. Lupo, Jeremy M. Schraw   +17 more
wiley   +1 more source

A Method for Extracting Fine-Grained Knowledge of the Wheat Production Chain

Agronomy
The knowledge within wheat production chain data has multiple levels and complex semantic relationships, making it difficult to extract knowledge from them.
Jing Lu, Wanxia Yang, Liang He, Quan Feng, Tingwei Zhang, Seng Yang   +5 more
doaj   +1 more source

Time Aware Knowledge Extraction for Microblog Summarization on Twitter

, 2015
Microblogging services like Twitter and Facebook collect millions of user generated content every moment about trending news, occurring events, and so on.
De Maio, Carmen, Fenza, Giuseppe, Loia, Vincenzo, Parente, Mimmo   +3 more
core   +1 more source

Organoids in pediatric cancer research

FEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

In Search of L-Fuzzy Contexts Adaptable to Variable Information: A Tool for Time-Varying Data Analysis

Axioms
This paper sheds light on the study of a new structure, called L-fuzzy hypercontext, which provides an extension of the range of applications of fuzzy concept analysis.
Cristina Alcalde, Ana Burusco
doaj   +1 more source

A Combinational Method to Determining Identical Entities from Heterogeneous Knowledge Graphs [PDF]

Journal of Information Science Theory and Practice, 2018
With the increasing demand for intelligent services, knowledge graph technologies have attracted much attention. Various application-specific knowledge bases have been developed in industry and academia.
Haklae Kim
doaj   +1 more source

Unraveling COVID-19 Dynamics via Machine Learning and XAI: Investigating Variant Influence and Prognostic Classification

Machine Learning and Knowledge Extraction, 2023
Machine learning (ML) has been used in different ways in the fight against COVID-19 disease. ML models have been developed, e.g., for diagnostic or prognostic purposes and using various modalities of data (e.g., textual, visual, or structured).
Oliver Lohaj, Ján Paralič, Peter Bednár, Zuzana Paraličová, Matúš Huba   +4 more
doaj   +1 more source

In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS

FEBS Letters, EarlyView.
We present a nearly complete in situ model of the Legionella Dot/Icm type IV secretion system, revealing its central secretion channel and identifying new components. Using cryo‐electron tomography with AI‐based modeling, our work highlights the structure, variability, and mechanism of this complex nanomachine, advancing understanding of bacterial ...
Przemysław Dutka, Yuxi Liu, Stefano Maggi, Debnath Ghosal, Jue Wang, Prashant P. Damke, Stephen D. Carter, Wei Zhao, Sukhithasri Vijayrajratnam, Joseph P. Vogel, Carrie L. Shaffer, Grant J. Jensen   +11 more
wiley   +1 more source