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The draw resonance instability of viscoelastic Giesekus fluids was studied by correlating the spinline extensional features and transit times of several kinematic waves in an isothermal melt spinning process. The critical drawdown ratios were critically dependent on the Deborah number (, the ratio of material relaxation time to process time) and a single material parameter (αG) of the Giesekus fluid. In the intermediate range of αG, the stability status changed distinctively with increasing , i.e., the spinning system was initially stabilized and subsequently destabilized, as increases. In this αG regime, the level of velocity and extensional-thickening rheological property in the spinline became gradually enhanced at low and weakened at high . The draw resonance onsets for different values of αG were determined precisely using a simple indicator composed of several kinematic waves traveling the entire spinline and period of oscillation. The change in transit times of kinematic waves for varying adequately reflected the effect of αG on the change in stability.
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http://dx.doi.org/10.3390/polym13010139 | DOI Listing |
Alzheimers Dement
September 2025
Boston University Alzheimer's Disease Research Center and BU CTE Center, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA.
We describe the rationale, methodology, and design of the Boston University Alzheimer's Disease Research Center (BU ADRC) Clinical Core (CC). The CC characterizes a longitudinal cohort of participants with/without brain trauma to characterize the clinical presentation, biomarker profiles, and risk factors of post-traumatic Alzheimer's disease (AD) and AD-related dementias (ADRD), including chronic traumatic encephalopathy (CTE). Participants complete assessments of traumatic brain injury (TBI) and repetitive head impacts (RHIs); annual Uniform Data Set (UDS) and supplementary evaluations; digital phenotyping; annual blood draw; magnetic resonance imaging (MRI) and lumbar puncture every 3 years; electroencephalogram (EEG); and amyloid and/or tau positron emission tomography (PET) on a subset.
View Article and Find Full Text PDFMedicine (Baltimore)
August 2025
Department of Orthopedics, The 960th Hospital of PLA, Jinan, China.
Rationale: Surgical treatment of osteochondral lesions of the talar dome (OLTD), for lesions larger than 15 mm2, surgical treatment remains challenging. To solve these problems, we presented a 3D-printed partial talar surface replacement (PTSR) technique for treating OLTD with severe lesions.
Patient Concerns: A 23-year-old male patient with OLTD experienced persistent pain for more than a year (Berndt and Harty classification V).
PLoS One
August 2025
Faculté des Sciences Médicales et Paramédicales la Timone, Aix-Marseille Université, CNRS, Centre de Résonance Magnétique Biologique et Médicale, UMR 7339, Marseille, France.
Cerebral malaria (CM), a potentially lethal neurological complication of the infection by Plasmodium falciparum, affects mostly the pediatric population under 5 years old in sub-Saharan Africa. This clinical syndrome is characterized on anatomical brain imaging by microhemorrhages, parenchymal lesions and brain edema. Epidemiological studies based on sex or gender are rare and do not allow to draw any conclusions on a possible sexual dimorphism in CM.
View Article and Find Full Text PDFImaging Neurosci (Camb)
June 2025
MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom.
A defining feature of human cognition is our ability to respond flexibly to whatwe see and hear, changing how we respond depending on our current goals. Infact, we can rapidly associate almost any input stimulus with any arbitrarybehavioural response. This remarkable ability is thought to depend on afrontoparietal "multiple demand" circuit which is engaged by manytypes of cognitive demand and widely referred to as domain general.
View Article and Find Full Text PDFImaging Neurosci (Camb)
March 2025
Inria, Univ Rennes, CNRS, Inserm, IRISA UMR 6074, Empenn ERL U 1228, Rennes, France.
Researchers using task-functional magnetic resonance imaging (fMRI) data have access to a wide range of analysis tools to model brain activity. If not accounted for properly, this plethora of analytical approaches can lead to an inflated rate of false positives and contribute to the irreproducibility of neuroimaging findings. Multiverse analyses are a way to systematically explore pipeline variations on a given dataset.
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