Rheological measurements are utilized to examine the yielding behavior of a polystyrene (PS) core and poly(N-isopropylacrylamide) (PNIPAM) shell microgel system with varying shell/core ratio. For a shell/core ratio of 0.15 at high concentrations, the suspensions show a typical hard sphere (HS) yielding response where the loss modulus (G″) exhibits a single peak due to cage breaking. As a result of tighter cages and less cage distortion prior to yielding, the peak location of G″ decreases with volume fraction. For a shell/core ratio of 1.10, which behaves like a soft jammed glass at high concentration, the suspensions exhibit a one-step yielding behavior similar to that of HS glass. However, the location of the peak in G″ increases with volume fraction, demonstrating the important role of particle deformation in the breakage of cages. For an intermediate shell/core ratio of 0.34, the system displays a two-step yielding behavior, as observed in previous reports for attractive glasses. By increasing the volume fraction, the strain of the first peak increases while the second one decreases. In addition, as the effective volume fraction increases to 112%, the two peaks merge into one broad peak. It is demonstrated that the first peak of G″ is due to deformation of the shell, and the second peak of G″ is attributed to cage breaking as a result of the cores colliding with each other. Combining these results, a yielding state diagram from typical HS to soft jammed glass is demonstrated.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1021/la500866d | DOI Listing |
JMIR Cancer
January 2025
Division of Radiology and Biomedical Engineering, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Background: The application of natural language processing in medicine has increased significantly, including tasks such as information extraction and classification. Natural language processing plays a crucial role in structuring free-form radiology reports, facilitating the interpretation of textual content, and enhancing data utility through clustering techniques. Clustering allows for the identification of similar lesions and disease patterns across a broad dataset, making it useful for aggregating information and discovering new insights in medical imaging.
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
Department of Food Science and Technology, College of Agriculture, Isfahan University of Technology, Isfahan 84156-83111, Iran; ONIRIS - GEPEA (UMR CNRS 6144), Site de la Géraudière CS 82225, 44322, Nantes cedex 3, France.
This study explores the innovative combined effects of alkaline isolation with ultrasound pretreatment on the physicochemical properties of acorn (Quercus brantii) starch. The optimal pH for maximizing the yield of alkaline-isolated acorn starch (AAS) was determined, followed by comparison with alkaline-isolated defatted acorn starch (ADAS), ultrasound-pretreated acorn starch (UAS), and ultrasound-pretreated defatted acorn starch (UDAS). The results demonstrated substantial improvements in yield and purity, with the highest yield (68.
View Article and Find Full Text PDFJ Shoulder Elbow Surg
January 2025
Maimonides Medical Center, Department of Orthopaedic Surgery and Rehabilitation, Brooklyn, NY, USA.
Introduction: The humeral head is the second most common site for osteonecrosis but its epidemiology is poorly described. This study aimed to better understand its treatment in the United States by 1) evaluating total operative procedures with rates normalized to the annual surgical volume; 2) determining trends of non-joint preserving (shoulder arthroplasty) vs. joint preserving procedures; and 3) quantifying rates of operative techniques in different aged cohorts (<50 vs.
View Article and Find Full Text PDFMod Pathol
January 2025
Department of Pathology and Medical Biology, University Medical Center Groningen, Groningen, the Netherlands; Department of Pathology, Amsterdam University Medical Center, Amsterdam, the Netherlands. Electronic address:
Fibro-osseous tumors of the craniofacial bones are a heterogeneous group of lesions comprising cemento-osseous dysplasia (COD), cemento-ossifying fibroma (COF), juvenile trabecular ossifying fibroma (JTOF), psammomatoid ossifying fibroma (PsOF), fibrous dysplasia (FD), and low-grade osteosarcoma (LGOS) with overlapping clinicopathological features. However, their clinical behavior and treatment differ significantly, underlining the need for accurate diagnosis. Molecular diagnostic markers exist for subsets of these tumors, including GNAS mutations in FD, SATB2 fusions in PsOF, mutations involving the RAS-MAPK signaling pathway in COD, and MDM2 amplification in LGOS.
View Article and Find Full Text PDFBackground: Placement of right precordial leads in higher intercostal spaces (EEP-ECG) improves the detection of Brugada Syndrome (BrS). Given the potential difficulty of lead placement and the transient nature of BrS ECG patterns, we developed a model to predict EEP-ECG from a standard 12‑lead ECG.
Objective: To create and validate a model that derives EEP-ECG leads from a standard 12‑lead ECG.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!