Water-maze testing has been used to assess prenatal cocaine (PCOC)-induced deficits in behavioral studies of spatial navigation and memory abilities. Effects of PCOC in acquisition or in probe trials over water-maze testing days were rarely detected. Despite an absence of effects of PCOC when data were collapsed over multiple days, there was a potential difference when examined during the first day of acquisition training, characterized by a PCOC-associated decrease in learning efficiency but not capacity. Here, we review studies of PCOC-related changes in day-1 water-maze acquisition training and examine the relationship between experimental methodologies and PCOC-treatment procedures and the variability in effect size estimates across studies. The results revealed a significant increase in latencies to goal platform on acquisition training day-1 in PCOC-exposed offspring vs. controls (effect size: r=0.44). Significant effects attributable to variations in the PCOC-treatment procedures across studies were also identified. The moderating variable of PCOC "dose" was significant as lower doses of PCOC exposure yielded larger treatment effects. "Duration" of PCOC exposure was not significant, although a trend for greater effects was observed in studies that employed longer daily treatment schedules or schedules administered in later gestational periods. This analysis identified a consistent difference in acquisition training day-1 of water-maze testing in PCOC-exposed offspring indicating a PCOC-induced deficiency in spatial learning. These findings of impaired spatial learning efficiency are of particular interest given clinical scenarios involving acutely impaired spatial memory and related learning in PCOC-exposed children that highlight the potential consequences in classroom learning.
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http://dx.doi.org/10.1016/j.ntt.2007.06.003 | DOI Listing |
Machine learning approaches including deep learning models have shown promising performance in the automatic detection of Parkinson's disease. These approaches rely on different types of data with voice recordings being the most used due to the convenient and non-invasive nature of data acquisition. Our group has successfully developed a novel approach that uses convolutional neural network with transfer learning to analyze spectrogram images of the sustained vowel /a/ to identify people with Parkinson's disease.
View Article and Find Full Text PDFNurs Crit Care
January 2025
Faculty of Medicine, Department of Paediatric, Izmir Democracy University, Izmir, Turkey.
Background: Paediatric emergency and critical care require skilled nurses, but they often face a lack of motivation during continuing professional development. Motivation-based, engaging activities in training programmes are essential to sustain interest and improve learning outcomes in these high-stress environments.
Aim: This study aims to develop, implement and evaluate the effectiveness of a Paediatric Emergency Course (PEC) using the ARCS (Attention, Relevance, Confidence, Satisfaction) Motivational Design Model to equip nurses with the knowledge and skills needed to manage paediatric patients in emergency and critical care settings.
J Phys Ther Educ
January 2025
Jeff Hartman is an assistant professor in the Doctor of Physical Therapy Program, Department of Family Medicine and Community Health at the University of Wisconsin School of Medicine and Public Health, 5110 Medical Sciences Center, 1300 University Ave. Madison, WI 53706 Please address all correspondence to Jeff Hartman.
Background And Purpose: Team-based learning (TBL) allows students to safely struggle with the complexity of clinical practice, yet there are few reports describing implementation in United States Doctor of Physical Therapy (DPT) education. The purpose of this paper is to report the implementation of TBL in a first-year clinical decision-making course within a DPT Program and compare the learning outcomes to a lecture-based teaching model.
Model/method Description And Evaluation: Team-based learning is an evidence-based, active learning technique whereby students complete clearly communicated, preclass assignments and come to class prepared to apply acquired knowledge and solve real-world scenarios in permanent, predetermined work teams.
BMC Microbiol
January 2025
Central Research Institute of Epidemiology, Novogireevskaya Str., 3a, Moscow, 111123, Russia.
Background: The infections of bacterial origin represent a significant problem to the public healthcare worldwide both in clinical and community settings. Recent decade was marked by limiting treatment options for bacterial infections due to growing antimicrobial resistance (AMR) acquired and transferred by various bacterial species, especially the ones causing healthcare-associated infections, which has become a dangerous issue noticed by the World Health Organization. Numerous reports shown that the spread of AMR is often driven by several species-specific lineages usually called the 'global clones of high risk'.
View Article and Find Full Text PDFACS Sens
January 2025
School of Materials Science and Engineering, Guangzhou Key Laboratory of Flexible Electronic Materials and Wearable Devices, Key Laboratory for Polymeric Composite and Functional Materials of Ministry of Education, State Key Laboratory of Optoelectronic Materials and Technologies, Sun Yat-sen University, Guangzhou 510275, People's Republic of China.
Steroid hormones, especially progesterone (P), estradiol (E), and testosterone (T), are key bioactive regulators in various female physiological processes, including growth and development, ovulation, and the reproductive cycle, as well as metabolism and mental health. As lipophilic molecules produced in sex glands, these steroid female hormones can be transported through blood vessels into various body fluids such as saliva, sweat, and urine. However, the ultralow concentration of steroid hormones down to picomolar (pM) level necessitates great demands for ultrasensitive but low-cost analytic tools to implement accurate, point-of-care or even continuous monitoring in a user-friendly fashion.
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