Early talent identification in tennis: A retrospective study
Talent identification often begins at the age of entry into a sport: namely, even under the age of 9 years old (U9). However, the success of such early talent identification is questionable. Therefore, the aim of this long-term retrospective study is to
Maximilian Siener +2 more
doaj
Clarifying TID and TD in sport: an integrative phase-based framework of talent assessment and promotion. [PDF]
Döringer F, Pfeiffer M.
europepmc +1 more source
Aptitude intellectuelle et éducation
Bastide Henri. Aptitude intellectuelle et éducation. In: Population, 18ᵉ année, n°1, 1963.
Bastide, Henri
core
An Attachment and Multi‐Target Perspective on Organisational Commitment of Early Career Starters
ABSTRACT Establishing strong organisational commitment among early career starters such as apprentices, trainees, and dual‐study students is of central interest to companies' HR strategies for developing and retaining skilled workforces. To explain how commitment emerges, attachment theory offers a useful conceptual lens, as it provides an established ...
Jutta Bloem +2 more
wiley +1 more source
Performance of Large Language Models on Cognitive Aptitude Testing: A Multi-Run Evaluation on the German Medical School Admission Test (TMS). [PDF]
Stelling H, Kraus A, Grieb G, Güler I.
europepmc +1 more source
Abstract Selection into vocational medical specialty programmes such as Advanced Training in Rheumatology in Australia is fraught with complexity. Selection panels must identify suitable trainees while navigating eligibility standards set by the Royal Australasian College of Physicians (RACP), complying with state‐based employment legislation and ...
Narainraj Kamalaraj +4 more
wiley +1 more source
Impact of musical instrument practice on baseline psychomotor and technical skills in novice dental students: a prospective controlled study. [PDF]
Clouet R +5 more
europepmc +1 more source
Catch Me If You Can: The Dynamic Nature of Bias in Machine Learning Applications
ABSTRACT Bias in machine learning (ML) applications represents systematic differences between expected and actual values of the predicted outputs, such that certain individuals or groups are systematically and disproportionately (dis)advantaged. This paper investigates the dynamic nature of bias in ML applications.
Monideepa Tarafdar, Irina Rets, Yang Hu
wiley +1 more source
ABSTRACT This practitioner paper examines how multinational organisations can scale digital transformation in highly regulated environments where compliance requirements vary across countries and functions. While many organisations successfully launch digital pilots, far fewer manage to scale them into enterprise‐wide transformation. Drawing on 26 semi‐
Nisreen Ameen, Vijay Reddi
wiley +1 more source
Nurse core competency cultivation using the checklist-based Kirkpatrick model under the "cross-departmental bed-sharing" mode. [PDF]
Wang M +10 more
europepmc +1 more source

