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Quantitative electroencephalography predicts postoperative delirium in adult cardiac surgical patients from a prospective observational study.
Sci Rep
December 2024
State Key Laboratory of Bioelectronics, School of Biological Science & Medical Engineering, Southeast University, Nanjing, 210009, China.
The diagnostic and prognostic value of quantitative electroencephalogram (qEEG) in the the onset of postoperative delirium (POD) remains an area of inquiry. We aim to determine whether qEEG could assist in the diagnosis of early POD in cardiac surgery patients. We prospectively studied a cohort of cardiac surgery patients undergoing qEEG for evaluation of altered mental status.
View Article and Find Full Text PDFNovel sliding mode control of the manipulator based on a nonlinear disturbance observer.
Sci Rep
December 2024
School of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing, 100048, China.
To achieve high-performance trajectory tracking for a manipulator, this study proposes a novel sliding mode control strategy incorporating a nonlinear disturbance observer. The observer is designed to estimate unknown models in real-time, enabling feedforward compensation for various uncertainties such as modeling errors, joint friction, and external torque disturbances. The control law is formulated by integrating the Backstepping method, Lyapunov theory, and global fast terminal sliding mode theory, ensuring global convergence to zero within finite time and enhancing system robustness.
View Article and Find Full Text PDFEffects of Acute Stress on Metabolic Interactions Related to the Tricarboxylic Acid (TCA) Cycle in the Left Hippocampus of Mice.
Metabolites
December 2024
Department of Radiation Convergence Engineering, College of Software and Digital Healthcare Convergence, Yonsei University, 1, Yeonsedae-gil, Heungeop-myeon, Wonju 26493, Republic of Korea.
Background/objectives: The acute stress response affects brain metabolites closely linked to the tricarboxylic acid (TCA) cycle. This response involves time-dependent changes in hormones and neurotransmitters, which contribute to resilience and the ability to adapt to acute stress while maintaining homeostasis. This physiological mechanism of metabolic dynamics, combined with time-series analysis, has prompted the development of new methods to observe the relationship between TCA cycle-related brain metabolites.
View Article and Find Full Text PDFSurveillance of public health pathogens in Lagos wastewater canals: a cross-sectional study.
BMC Public Health
December 2024
Center for Human Virology and Genomics, Nigerian Institute of Medical Research, Yaba, Lagos State, Nigeria.
Background: Wastewater-based epidemiology (WBE) is already being adopted for the surveillance of health conditions of communities and shows great potential for the monitoring of infectious pathogens of public health importance. There is however paucity of robust data to support extensive WBE in Nigeria. This study evaluated the prevalence of clinically relevant infectious pathogens and provided antimicrobial resistance profiles of bacteria pathogens in wastewater canals in Lagos State at a single point in time.
View Article and Find Full Text PDFIntelligent Gesture Recognition Gloves for Real-Time Monitoring in Wireless Human-Computer Interaction.
ACS Appl Mater Interfaces
December 2024
National Engineering Lab of Special Display Technology, Special Display and Imaging Technology Innovation Center of Anhui Province, Academy of Optoelectronic Technology, Hefei University of Technology, Hefei 230009, China.
Flexible sensors mimic the sensing ability of human skin, and have unique flexibility and adaptability, allowing users to interact with intelligent systems in a more natural and intimate way. To overcome the issues of low sensitivity and limited operating range of flexible strain sensors, this study presents a highly innovative preparation method to develop a conductive elastomeric sensor with a cracked thin film by combining polydimethylsiloxane (PDMS) with multiwalled carbon nanotubes (MCNT). This novel design significantly increases both the sensitivity and operating range of the sensor (strain range 0-50%; the maximum tensile sensitivity of this sensor reaches 4.
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