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Kinematic Alignment Compared with Mechanical Alignment Techniques Results in Greater Peak Three-Dimensional Knee Joint Moments During Stair Negotiation.
J Arthroplasty
January 2025
The University of Tennessee Health Science Center-Campbell Clinic Department of Orthopaedic Surgery and Biomedical Engineering, 1400 S. Germantown Rd, Germantown, TN, 38138. Electronic address:
Background: This study investigated the influence of surgical alignment techniques on knee joint biomechanics during stair negotiation tasks. Our hypothesis was that a more personalized joint alignment would result in reduced medial knee loading biomechanics to negotiate the stairs.
Methods: There were 28 adults (14 mechanical alignments [MA], 14 kinematic alignment [KA]) who underwent total knee arthroplasty (TKA) at least one year post-operatively and performed five stair ascent and descent trials at their preferred velocities.
Local cortical structure pattern and genetic links in schizophrenia: An MRI and CRISPR/Cas9 study.
Prog Neuropsychopharmacol Biol Psychiatry
January 2025
Institute of Brain Science, National Yang-Ming Chiao Tung University, Taipei 11221, Taiwan; Brain Research Center, National Yang-Ming Chiao Tung University, Taipei 11221, Taiwan; Digital Medicine and Smart Healthcare Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan; Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan. Electronic address:
While the etiology of schizophrenia (SZ) remains elusive, its diverse phenotypes suggest the involvement of distinct functional cortical areas, and the heritability of SZ implies the underlying genetic factors. This study aimed to integrate imaging and molecular analyses to elucidate the genetic underpinnings of SZ. We investigated the local cortical structural pattern changes in Brodmann areas (BAs) by calculating the cortical structural pattern index (SPI) using magnetic resonance imaging analysis from 194 individuals with SZ and 330 controls.
View Article and Find Full Text PDFAwakening n-π* electron transition in structurally distorted g-CN nanosheets via hexamethylenetetramine-involved supercritical CO treatment towards efficient photocatalytic H production.
J Colloid Interface Sci
January 2025
International Research Center for Renewable Energy (IRCRE), State Key Laboratory of Multiphase Flow in Power Engineering (MFPE), Xi'an Jiaotong University (XJTU), Xi'an 710049 PR China.
Graphitic carbon nitride (g-CN) has been regarded as highly potential photocatalyst for solar energy utilization. However, the restricted absorption of visible light for pristine g-CN significantly limits the solar-light-driven chemical reaction efficiency. Herein, structurally distorted g-CN nanosheets with awakened n-π* electron transition were successfully synthesized through hexamethylenetetramine (HMTA)-involved supercritical CO (scCO) treatment and following pyrolysis of melamine precursor.
View Article and Find Full Text PDFElectrochemical Performance of Guanidinium Salt-Added PVP/PEO Solid Polymer Electrolyte with Superior Power Density.
Polymers (Basel)
January 2025
School of Chemical Engineering, Yeungnam University, 280 Daehak-ro, Gyeongsan 38541, Republic of Korea.
Solid polymer electrolytes (SPEs) for symmetrical supercapacitors are proposed herein with activated carbon as electrodes and optimized solid polymer electrolyte membranes, which serve as the separators and electrolytes. We propose the design of a low-cost solid polymer electrolyte consisting of guanidinium nitrate (GuN) and poly(ethylene oxide) (PEO) with poly(vinylpyrrolidone) (PVP). Using the solution casting approach, blended polymer electrolytes with varying GuN weight percentage ratios of PVP and PEO are prepared.
View Article and Find Full Text PDFEEG-to-EEG: Scalp-to-Intracranial EEG Translation Using a Combination of Variational Autoencoder and Generative Adversarial Networks.
Sensors (Basel)
January 2025
Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2AZ, UK.
A generative adversarial network (GAN) makes it possible to map a data sample from one domain to another one. It has extensively been employed in image-to-image and text-to image translation. We propose an EEG-to-EEG translation model to map the scalp-mounted EEG (scEEG) sensor signals to intracranial EEG (iEEG) sensor signals recorded by foramen ovale sensors inserted into the brain.
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