Results 241 to 250 of about 45,381 (288)

The bidirectional modulation of acute aerobic exercise on cognitive performance and brain electrical activity in adolescents with smartphone addiction: an experimental study using EEG power spectrum analysis. [PDF]

Front Public Health
Che T, Long Y, Zhang S, Jiang X.
europepmc   +1 more source

Machine Learning–Enhanced Fluorescence Cryptography with NADH‐Responsive Polymer Dots

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This study presents a smart anticounterfeiting system using semiconducting polymer dots (Pdots) that exhibit tunable fluorescence responses to NADH. By integrating these dynamic optical signals with machine learning–based decoding, the work establishes a secure and intelligent encryption platform, showing a novel strategy that links chemical sensing ...
Zhengkun Zhan, Mingyue Gong, Zirui Zeng, Hangyu Liu, Xiaoliang Li, Zhuxin Dong, Xiaoju Men, Haobin Chen   +7 more
wiley   +1 more source

Mediating factors in the relationship between smartphone addiction and sleep quality: depression, stress, and anxiety. [PDF]

Rev Assoc Med Bras (1992)
Elkin N, Kütük H, Soydan AM, Tanrıver SÇ.   +3 more
europepmc   +1 more source

An Experience‐Sampling Study on the Frequency and Diversity of Positive and Negative Affective States

European Journal of Social Psychology, EarlyView.
ABSTRACT Ecological models explain social phenomena by assuming specific properties of the world an individual lives in. The evaluative information ecology model (Unkelbach et al. 2019) assumes two such properties: Positive information is more frequent (i.e., positivity prevalence), but negative information is more diverse (i.e., negativity diversity).
Anne I. Weitzel, Christian Unkelbach
wiley   +1 more source

Psychometric properties of the smartphone addiction scale-short version (SAS-SV) in Honduran university students. [PDF]

PLoS One
Hidalgo-Fuentes S, Martínez-Álvarez I, Llamas-Salguero F, Pineda-Zelaya IS, Merino-Soto C, Chans GM.   +5 more
europepmc   +1 more source

Prospective evaluation of a seizure detection wearable device for timely interventions in an epilepsy monitoring unit

Epilepsia, EarlyView.
Abstract Objective This study aimed to evaluate the real‐world performance of a wrist‐worn seizure detection device for timely clinical interventions within an epilepsy monitoring unit (EMU). Methods We conducted a prospective observational study involving patients admitted to the EMU at a tertiary care center.
Amirhossein Jahani, Daniel Alejandro Galindo Lazo, Isabel Sarzo Wabi, Oumayma Gharbi, Manon Robert, Juan Pablo Millan, Gianluca D'onofrio, Alexis Robin, Dang K. Nguyen, Elie Bou Assi   +9 more
wiley   +1 more source

Smartphone addiction and creativity in Chinese undergraduates: a moderated mediation model analysis. [PDF]

Front Psychiatry
Cheng L, Xie H.
europepmc   +1 more source

Continuous outcome estimation in N‐of‐1 trials for accelerated decision‐making

Epilepsia, EarlyView.
Abstract Objective N‐of‐1 trials aim to determine the therapeutic effect for a single individual. This individualized approach necessitates collecting multiple data points over time through repeated alternating periods of active treatment and a comparator or control condition.
Victoria Defelippe, František Bartoš, Eric‐Jan Wagenmakers, Kees P. J. Braun, Floor E. Jansen, Willem M. Otte   +5 more
wiley   +1 more source

The association between smartphone addiction and self-esteem among physical education undergraduate students: The chain-mediating roles of professional identity and meaning in life. [PDF]

PLoS One
Sun P, Cui M, Chen X, Yan L.
europepmc   +1 more source

Video‐based diagnostics supported by artificial intelligence as an opportunity to address the epilepsy diagnostic gap: A narrative review

Epilepsia, EarlyView.
Abstract Despite advancements in epilepsy care, a substantial diagnostic gap persists, particularly in resource‐limited settings. This narrative review explores the potential of video‐based diagnostics augmented by artificial intelligence (AI) to address this gap by enabling earlier and more accessible seizure detection and classification.
Gadi Miron, Robert Terziev, Maximilian Schöls, John McLaren, Tobias Loddenkemper, Jörg Wellmer, Sigrid Mues, Christian Meisel   +7 more
wiley   +1 more source