Results 61 to 70 of about 1,114,452 (196)

Driving forces and prediction of urban open spaces morphology: The case of Shanghai, China using geodetector and CA-Markov model

Ecological Informatics
Urban open spaces offer both environmental and social benefits. However, comprehensive studies that integrate both quantitative and qualitative evaluations of the factors driving change in these spaces and their long-term predictions are lacking.
Yaoyao Zhu, Gabriel Hoh Teck Ling
doaj   +1 more source

Label-Free Model Evaluation with Semi-Structured Dataset Representations

, 2021
10 pages, 8 figures, 3 ...
Sun, Xiaoxiao, Hou, Yunzhong, Li, Hongdong, Zheng, Liang   +3 more
openaire   +2 more sources

Exploring community and expert perceptions of the acceptability of an oropharyngeal gonorrhoea controlled human infection model in Australia

Scientific Reports
The development of an oropharyngeal gonorrhoea controlled human infection model (CHIM) could result in important translational outcomes, including accelerated development of new drugs and vaccines. Ethical study design for such a model requires community
Eloise Williams, J. E. Moulton, E. Jamrozik, J. Prestedge, S. Ruth, C. K. Fairley, M. Y. Chen, D. A. Williamson, J. S. McCarthy, J. S. Hocking, L. Keogh   +10 more
doaj   +1 more source

Assessing the DSM–5 Levels of Personality Functioning: Development and Psychometric Evaluation of the Brief Semi-Structured Interview for DSM-5 Personality Functioning (BSSIDPF)

Journal of Mazandaran University of Medical Sciences, 2018
Background and purpose: The Fifth Edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) offers an alternative model of personality disorders (PD) in section III alongside the categorical model in section II.
Mahdi Amini, Mozhgan Lotfi, Esfandiar Azad, Adel Karami   +3 more
doaj  

Organic agriculture in relation to food security of developing countries [PDF]

, 2009
A study was conducted to investigate the differences in farm production, input use and farm income between organic and conventional systems in three regions (Uttaranchal, Madhya Pradesh and Tamilnadu) of India.
Halberg, N., Hermansen, J.E., Panneerselvam, P.   +2 more
core  

Increasing the Accessibility of Causal Domain Knowledge via Causal Information Extraction Methods: A Case Study in the Semiconductor Manufacturing Industry

Applied Sciences
Causal domain knowledge is commonly documented using natural language either in unstructured or semi-structured forms. This study aims to increase the usability of causal domain knowledge in industrial documents by transforming the information into a ...
Houssam Razouk, Leonie Benischke, Daniel Gärber, Roman Kern   +3 more
doaj   +1 more source

Development of a building information modelling (BIM) migration path model for construction professionals [PDF]

, 2018
The construction professionals have the notion that by implementing Building Information Modelling (BIM) in construction could overcome problems such as delay, cost overrun, clashes in project design and undesirable quality in construction.
Brahim, Juliana
core  

Large language models for data extraction from unstructured and semi-structured electronic health records: a multiple model performance evaluation

BMJ Health & Care Informatics
Objectives We aimed to evaluate the performance of multiple large language models (LLMs) in data extraction from unstructured and semi-structured electronic health records.Methods 50 synthetic medical notes in English, containing a structured and an ...
Vasileios Ntinopoulos, Hector Rodriguez Cetina Biefer, Igor Tudorache, Nestoras Papadopoulos, Dragan Odavic, Petar Risteski, Achim Haeussler, Omer Dzemali   +7 more
doaj   +1 more source

Designing a Model of Characteristics of Entrepreneurial Schools in Iran Based on Grounded Theory [PDF]

خانواده و پژوهش, 2023
Schools should be able to be effective in the emergence of such characteristics as creativity, self-confidence, foresight, risk-taking and the desire to succeed (entrepreneurship spirit) in students and one of the duties of education officials is to ...
A. Akbari, H. Taghipour, Ph.D., M. J. Taghipourian Gilani, Ph.D., M. Ghaffari Mejlej, Ph.D.   +3 more
doaj  

Multimodal Machine Learning for Automated ICD Coding

, 2019
This study presents a multimodal machine learning model to predict ICD-10 diagnostic codes. We developed separate machine learning models that can handle data from different modalities, including unstructured text, semi-structured text and structured ...
Band, Charlotte, Gao, Xin, Lam, Mike, MD, Ashish K. Khanna, MD, Frank Papay, MD, Jacek B. Cywinski, MD, Kamal Maheshwari, MD, Piyush Mathur, Pang, Jingzhi, Xie, Pengtao, Xing, Eric, Xu, Keyang   +11 more
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