Results 121 to 130 of about 11,807 (191)

Creativity tool selection for design engineers in idea generation [PDF]

, 2015
Childs, P, Yan, Y
core  

Los tipos de abogados según el test MBTI

Revista de la Facultad de Derecho, 2001
Este artículo se basa en la transcripción traducida del Artículo de Larry Richard y losdocumentos complementarios estudiados por el suscrito. Lo hemos hecho con el fin de efectuar los análisis pertinentes de las posibles consecuencias, que se derivan de los resultados del Test Myers-Briggs Type Indicator, o MBTI, cuando se aplica dicho Test a los ...
openaire   +3 more sources

A study on the correlation between MBTI dimensions and driving behavior characteristics. [PDF]

Sci Rep
Bai L, Wang T, Tu J, Peng B, Wang Z.
europepmc   +1 more source

Using transformers and Bi-LSTM with sentence embeddings for prediction of openness human personality trait. [PDF]

PeerJ Comput Sci
Naz A, Khan HU, Alsahfi T, Alhajlah M, Alshemaimri B, Daud A.   +5 more
europepmc   +1 more source

Real-Time Detection of Distracted Walking Using Smartphone IMU Sensors with Personalized and Emotion-Aware Modeling. [PDF]

Sensors (Basel)
Kim HE, Park DH, An CH, Choi MY, Kim D, Hong YS.   +5 more
europepmc   +1 more source

Testing the bipolar assumption of Singer-Loomis Type Deployment Inventory for Korean adults using classification and multidimensional scaling. [PDF]

Front Psychol, 2023
Lee S, Kim J.
europepmc   +1 more source

Personality preferences and stress perception among nursing students in different nursing programmes: a cross-sectional study. [PDF]

BMC Med Educ
Li YS, Tseng HC, Yang BH, Mills MEC, Yu WP.   +4 more
europepmc   +1 more source

AI-driven dynamic psychological measurement: correcting university student mental health scales using daily behavioral and cognitive data. [PDF]

Front Digit Health
Tong BG, Liang Z, He X, Yang F, Yang L, Gao L.   +5 more
europepmc   +1 more source

Targeting Siderophore-Mediated Iron Uptake in M. abscessus: A New Strategy to Limit the Virulence of Non-Tuberculous Mycobacteria. [PDF]

Pharmaceutics, 2023
Mori M, Stelitano G, Cazzaniga G, Gelain A, Tresoldi A, Cocorullo M, Roversi M, Chiarelli LR, Tomaiuolo M, Delre P, Mangiatordi GF, Griego A, Rizzello L, Cassetta A, Covaceuszach S, Villa S, Meneghetti F.   +16 more
europepmc   +1 more source

Using deep learning and word embeddings for predicting human agreeableness behavior. [PDF]

Sci Rep
Alsini R, Naz A, Khan HU, Bukhari A, Daud A, Ramzan M.   +5 more
europepmc   +1 more source