The purpose of this study was to assess the effects of continuous intravenous infusion of the central cholecystokinin (CCK) receptor agonist, CCK-4, on short-term memory and psychomotor performance in healthy volunteers in a double-blind, placebo-controlled, parallel group study. Compared to placebo, CCK-4 (0.5 mg/h) significantly impaired performance on free-recall and recognition of words in the middle of the CCK-4 infusion, but did not affect psychomotor acuity. The results of this study indicate that CCK-4 may exert a negative influence on memory consolidation and retrieval.
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http://dx.doi.org/10.1016/s0196-9781(98)00056-4 | DOI Listing |
Sci Rep
January 2025
Department of Theoretical Electrical Engineering and Diagnostics of Electrical Equipment, Institute of Electrodynamics, National Academy of Sciences of Ukraine, Beresteyskiy, 56, Kyiv-57, Kyiv, 03680, Ukraine.
This paper proposes an advanced Load Frequency Control (LFC) strategy for two-area hydro-wind power systems, using a hybrid Long Short-Term Memory (LSTM) neural network combined with a Genetic Algorithm-optimized PID (GA-PID) controller. Traditional PID controllers, while extensively used, often face limitations in handling the nonlinearities and uncertainties inherent in interconnected power systems, leading to slower settling time and higher overshoot during load disturbances. The LSTM + GA-PID controller mitigates these issues by utilizing LSTM's capacity to learn from historical data by using gradient descent to forecast the future disturbances, while the GA optimizes the PID parameters in real time, ensuring dynamic adaptability and improved control precision.
View Article and Find Full Text PDFThe Hybrid-Brain Computer Interface (BCI) has shown improved performance, especially in classifying multi-class data. Two non-invasive BCI modules are combined to achieve an improved classification which are Electroencephalogram (EEG) and functional Near Infra-red Spectroscopy (fNIRS). Classifying contralateral and ipsilateral motor movements is found challenging among the other mental activity signals.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Communications and Electronics, Delta Higher Institute of Engineering and Technology, Mansoura, 35111, Egypt.
Heart disease is a category of various conditions that affect the heart, which includes multiple diseases that influence its structure and operation. Such conditions may consist of coronary artery disease, which is characterized by the narrowing or clotting of the arteries that supply blood to the heart muscle, with the resulting threat of heart attacks. Heart rhythm disorders (arrhythmias), heart valve problems, congenital heart defects present at birth, and heart muscle disorders (cardiomyopathies) are other types of heart disease.
View Article and Find Full Text PDFSoc Sci Med
December 2024
Department of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China. Electronic address:
Objectives: During the COVID-19 pandemic, global health systems faced unprecedented challenges, as well as in maternal and neonatal health, thus this study aims to clarify the impacts of COVID-19 on maternal and neonatal disorders (MNDs), regional variations, and the role of economic support.
Methods: We have developed a counterfactual model integrating Autoregressive Integrated Moving Average and Long Short-Term Memory models to forecast the burden of MNDs from 2020 To et al., 2021, which was compared with the actual burden to quantify the specific impact of the COVID-19 pandemic on MNDs.
Comput Biol Med
January 2025
Department of Computer Science, Jamia Hamdard University, Near Batra Hospital, New Delhi, 110062, India. Electronic address:
Schizophrenia detection involves identifying the schizophrenia by analyzing specific patterns in Electroencephalogram (EEG) signals, which reflect brain activity associated with symptoms, like hallucinations and cognitive impairments. Existing models face challenges due to the complex and variable nature of EEG data, which may struggle to accurately capture critical temporal dependencies and relevant features. Traditional approaches often lack adaptability, limiting their ability to differentiate schizophrenia patterns from other brain activities.
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