Delay discounting (DD) assessments offer a wide variety of procedures to suit specific clinical and research needs. This study compared the reliability and validity of two DD tasks: (a) an adjusting amounts task presented on a computer (AAC) and (b) the 21-item Monetary Choice Task, which was administered online (MCT). Participants were 1,573 Spanish young-adults reporting past-month substance use. Measures included quantity and severity of drug use (i.e., cigarette smoking, cannabis, alcohol) and two DD assessments (i.e., AAC, MCT). Reliability was assessed using both the classical test and item response theory. Correlations and linear regressions examined the validity of both DD tasks in relation to substance use. The MCT showed higher internal consistency than the AAC (α = .941 vs. α = .748). AAC precision was adequate for moderate levels of discounting (θ values between -2 and +2), but the MCT showed superior reliability at low, moderate, and high levels of discounting (θ values between -1 and +1.5). Both DD tasks showed more significant correlations for alcohol-related measures (|rs| ranged between .053 and .093) compared to cigarettes and cannabis. The incremental validity of DD tasks in relation to nicotine dependence (AUC: β = -.664, 95% CI [-1.256, -.071]) and alcohol problems (AUC: β = -3.098, 95% CI [-5.209, -.988]) was only supported for the AAC. The MCT was more reliable than the AAC for measuring impulsive choice in young adult substance users. Nevertheless, the AAC may serve as a valid marker of nicotine dependence and alcohol problems. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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Arch Pathol Lab Med
January 2025
the Department of Pathology, The Ohio State University, Columbus (Parwani).
Context.—: Generative artificial intelligence (AI) has emerged as a transformative force in various fields, including anatomic pathology, where it offers the potential to significantly enhance diagnostic accuracy, workflow efficiency, and research capabilities.
Objective.
J Acoust Soc Am
January 2025
Leiden University Centre for Linguistics, Leiden University, Leiden, The Netherlands.
Previous studies suggested that pitch characteristics of lexical tones in Standard Chinese influence various sensory perceptions, but whether they iconically bias emotional experience remained unclear. We analyzed the arousal and valence ratings of bi-syllabic words in two corpora (Study 1) and conducted an affect rating experiment using a carefully designed corpus of bi-syllabic words (Study 2). Two-alternative forced-choice tasks further tested the robustness of lexical tones' affective iconicity in an auditory nonce word context (Study 3).
View Article and Find Full Text PDFData Brief
February 2025
Tecnológico Nacional de México/Instituto Tecnológico de Culiacán, División de Estudios de Posgrado e Investigación, Juan de Dios Batíz 310. Col. Guadalupe, 80220 Culiacán, Sinaloa, Mexico.
A dataset of aerial photographs acquired with an Unmanned Aerial Vehicle (UAV) DJI Phantom 4 Pro is presented for monitoring a cherry tomato ( var. ) crop in Navolato, Mexico. Seven photogrammetric flights were carried out to assess the plant growth using a Mapir Survey 3W multispectral camera.
View Article and Find Full Text PDFSci Rep
January 2025
Key Laboratory of Ethnic Language Intelligent Analysis and Security Governance of MOE, Minzu University of China, Beijing, 100081, China.
Speech-to-speech translation (S2ST) has evolved from cascade systems which integrate Automatic Speech Recognition (ASR), Machine Translation (MT), and Text-to-Speech (TTS), to end-to-end models. This evolution has been driven by advancements in model performance and the expansion of cross-lingual speech datasets. Despite the paucity of research on Tibetan speech translation, this paper endeavors to tackle the challenge of Tibetan-to-Chinese direct speech-to-speech translation within the multi-task learning framework, employing self-supervised learning (SSL) and sequence-to-sequence model training.
View Article and Find Full Text PDFBMJ Open
January 2025
Lancaster Medical School, Lancaster University, Lancaster, UK.
Introduction: Congenital colour vision deficiency (CVD), known as colour blindness, is a common visual problem affecting around 1 in 12 men and 1 in 200 women. It is known that people who have red-green CVD, the most common phenotype, can have difficulty differentiating colours and this can impact the ability to perform clinical tasks related to patient care. The objective of this scoping review is to understand the extent and type of evidence and the impact on clinical practice and patient safety arising from congenital CVD in healthcare professionals.
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