Results 111 to 120 of about 35,131 (204)

Quick mining in dense data: applying probabilistic support prediction in depth-first order. [PDF]

PeerJ Comput Sci
Sadeequllah M, Rauf A, Rehman SU, Alnazzawi N.   +3 more
europepmc   +1 more source

Assessing health impact of COVID-19 and associated household socioeconomic factors in Papua New Guinea: evidence from the Comprehensive Health and Epidemiological Surveillance System. [PDF]

BMJ Public Health, 2023
Pham BN, Aga T, Emori R, Manong D, Maraga S, Degemba B, Gabe V, Berry N, Kobol M, Kue L, Ainui N, Jorry R, Silas VD, Abori N, Jaukae GS, Gende G, Ha TH, Okely AD, Pomat W.   +18 more
europepmc   +1 more source

Assessing novelty, feasibility and value of creative ideas with an unsupervised approach using GPT‐4

British Journal of Psychology, EarlyView.
Abstract Creativity is defined by three key factors: novelty, feasibility and value. While many creativity tests focus primarily on novelty, they often neglect feasibility and value, thereby limiting their reflection of real‐world creativity. In this study, we employ GPT‐4, a large language model, to assess these three dimensions in a Japanese‐language
Felix B. Kern, Chien‐Te Wu, Zenas C. Chao   +2 more
wiley   +1 more source

Analysis of community older adult care facility construction and demand differentiation based on residential area and population attribute differences. [PDF]

Front Public Health
Liu Y, Wang Y, Guo G, Yang T, Liu Y, Gao H, Jiang T, Li X.   +7 more
europepmc   +1 more source

Computers and chess masters: The role of AI in transforming elite human performance

British Journal of Psychology, EarlyView.
Abstract Advances in Artificial Intelligence (AI) have made significant strides in recent years, often supplementing rather than replacing human performance. The extent of their assistance at the highest levels of human performance remains unclear. We analyse over 11.6 million decisions of elite chess players, a domain commonly used as a testbed for AI
Merim Bilalić, Mario Graf, Nemanja Vaci
wiley   +1 more source

Refractive error and axial length prediction using fundus parameters of normal eyes in the Kumejima population study. [PDF]

Jpn J Ophthalmol
Yamashita T, Asaoka R, Iwase A, Sakai H, Terasaki H, Sakamoto T, Araie M.   +6 more
europepmc   +1 more source

Spatiotemporal distribution and evolution pattern of Chinese Go League clubs in 20 years of professionalism. [PDF]

Front Sports Act Living, 2023
Kunlun C, Xiaoqiong L, Xu Z, Lei D.
europepmc   +1 more source

Distinguishing perfectionism and excellencism in graduate students: Contrasting links with performance satisfaction, research self‐efficacy, burnout, and dropout intentions

British Journal of Psychology, EarlyView.
Abstract Research on perfectionism in graduate school found inconsistent associations between perfectionistic standards and psychological outcomes. Such unanticipated results led to the Model of Excellencism and Perfectionism (MEP), which differentiates between people pursuing excellence and those pursuing perfection.
Patrick Gaudreau, Antoine Benoît
wiley   +1 more source

Prevalence and Predictors of Caregiver Distress in Six European Communities: Data From the IBenC Study, Using interRAI-Home Care Assessments. [PDF]

Scand J Caring Sci
Kristinsdottir IV, Jonsson PV, Hjaltadottir I, Bjornsdottir K.   +3 more
europepmc   +1 more source

A general dynamic learning model framework for cognitive diagnosis

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Understanding students' learning trajectories is crucial for educators to effectively monitor and enhance progress. With the rise of computer‐based testing, researchers now have access to rich datasets that provide deeper insights into student performance.
Zichu Liu, Shiyu Wang, Houping Xiao, Shumei Zhang, Tao Qiu   +4 more
wiley   +1 more source