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Background And Objectives: A typical workflow for deep brain stimulation (DBS) surgery consists of head frame placement, followed by stereotactic computed tomography (CT) or MRI before surgical implantation of the hardware. At some institutions, this workflow is prolonged when the imaging scanner is located far away from the operating room, thereby increasing workflow times by the addition of transport times. Recently, the intraoperative O-arm has been shown to provide accurate image fusion with preoperative CT or MR imaging, suggesting the possibility of obtaining an intraoperative localization scan and postoperative confirmation.

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Magnetic Field-Accelerated Nonthermal Plasma Digestion for Field Pretreatment and Determination of Heavy Metals in Biological Samples.

Anal Chem

January 2025

Research Center for Analytical Sciences, Department of Chemistry, College of Sciences, Northeastern University, Box 332, Shenyang 110819, China.

Field analysis of heavy metals in biological samples is essential for assessing their potential threats to human health. The development of portable pretreatment and detection devices is crucial to address this challenge. Herein, a magnetic field-accelerated nonthermal plasma digestion device using dielectric barrier discharge (DBD) is designed for the rapid and environmentally friendly pretreatment of biological samples and subsequently combined with point discharge-optical emission spectrometry (PD-OES) for sensitive determination of heavy metals.

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Introduction: Inter-set rest intervals are essential to reduce muscle fatigue and increase the total amount of volume of resistance training. Static stretching and walking may increase muscle blood flow and promote recovery during inter-set rest intervals. Therefore, the purpose of this study was to investigate the effects of 20 seconds of static stretching and walking during inter-set rest intervals of leg extension exercises on the number of repetitions to exhaustion, total amount of volume, and flexibility of the quadriceps (joint range of motion and muscle hardness) in untrained healthy males.

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AI integration into wavelength-based SPR biosensing: Advancements in spectroscopic analysis and detection.

Anal Chim Acta

March 2025

Artificial Intelligence Research Center, Chang Gung University, Taoyuan, 333323, Taiwan; Department of Artificial Intelligence, College of Intelligent Computing, Chang Gung University, Taoyuan, 333323, Taiwan. Electronic address:

Background: In recent years, employing deep learning methods in the biosensing area has significantly reduced data analysis time and enhanced data interpretation and prediction accuracy. In some SPR fields, research teams have further enhanced detection capabilities using deep learning techniques. However, the application of deep learning to spectroscopic surface plasmon resonance (SPR) biosensors has not been reported.

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Pendulum model to compare center of pressure data between different force plates.

Gait Posture

January 2025

Saarland University, Im Stadtwald B8.2, Saarbrücken D-66123, Germany; Texas A&M University, College Station, TX 77845, United States. Electronic address:

Background: Force plates are used to measure postural control. However, force plates differ with regard to the type of sensors and the position of the sensors. The purpose of the study was to introduce a method for testing the comparability of two force plates with different force transducers regarding their center of pressure (CoP) capturing.

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