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Exploration of low-sulfonate lignin electrospinning conditions for the development of new renewable lubricant formulations.
Nanoscale
January 2025
Pro2TecS - Chemical Product and Process Technology Research Center. Department of Chemical Engineering and Materials Science. Universidad de Huelva. ETSI, Campus de "El Carmen", 21071 Huelva, Spain.
This study explores the preparation of lubricating oleo-dispersions using electrospun nanofibrous mats made from low-sulfonate lignin (LSL) and polycaprolactone (PCL). The rheological and tribological properties of the oleo-dispersions were significantly modulated for the first time through the exploration of LSL/PCL ratio and electrospinning conditions such as applied voltage, distance between the tip and collector, flow rate, ambient humidity, and collector configuration. Adequate uniform ultrathin fibers and Small-amplitude oscillatory shear (SAOS) functions of the oleo-dispersions, with storage modulus values ranging from 10 to 10 Pa at 25 °C, were obtained with a flow rate of 0.
View Article and Find Full Text PDFBiological testing unification for hemodialysis membranes evaluation: A step towards standardization.
Biomater Adv
January 2025
Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Mexico. Electronic address:
Current hemodialysis treatments can cause adverse effects, many of which are linked to the membranes used in the process. These issues are being addressed through new materials and technologies, making it urgent to establish minimum guidelines for evaluating such membranes. This review proposes standardizing the biological tests and variables to evaluate the performance of new membranes, aiming to replicate hemodialysis conditions closely.
View Article and Find Full Text PDFCharacterizing brain network alterations in cervical spondylotic myelopathy using static and dynamic functional network connectivity and machine learning.
J Clin Neurosci
January 2025
Department of Orthopedics, The First Affiliated Hospital of Anhui Medical University, Hefei, PR China; Department of Spine Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, PR China. Electronic address:
Background: Cervical spondylotic myelopathy (CSM) is a debilitating condition that affects the cervical spine, leading to neurological impairments. While the neural mechanisms underlying CSM remain poorly understood, changes in brain network connectivity, particularly within the context of static and dynamic functional network connectivity (sFNC and dFNC), may provide valuable insights into disease pathophysiology. This study investigates brain-wide connectivity alterations in CSM patients using both sFNC and dFNC, combined with machine learning approaches, to explore their potential as biomarkers for disease classification and progression.
View Article and Find Full Text PDFStackable Guides: Digital Workflows for Full Arch Dental Implant Rehabilitation.
Oral Maxillofac Surg Clin North Am
January 2025
Department of Maxillofacial Prosthetics and Prosthodontics, Naval Medical Center San Diego California, USA.
Computer-guided full-arch dental rehabilitation, which is highly technique-sensitive, benefits from advancements in 3-dimensional-printed guides and open-source software. Critical pre-surgical planning includes patient selection, health history evaluations, and detailed imaging like cone beam computed tomography scans. Various surgical guides-freehand, static, dynamic, stackable, and interchangeable-are used based on case complexity, with stackable guides improving workflow efficiency.
View Article and Find Full Text PDFA Bayesian dynamic stopping method for evoked response brain-computer interfacing.
Front Hum Neurosci
December 2024
Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands.
Introduction: As brain-computer interfacing (BCI) systems transition fromassistive technology to more diverse applications, their speed, reliability, and user experience become increasingly important. Dynamic stopping methods enhance BCI system speed by deciding at any moment whether to output a result or wait for more information. Such approach leverages trial variance, allowing good trials to be detected earlier, thereby speeding up the process without significantly compromising accuracy.
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