We have shown experimentally that the pattern created by the displacement of a more viscous fluid by a less viscous one in a radial Hele-Shaw cell develops not radially but spirally when a more viscous sodium polyacrylate solution is displaced by a less viscous trivalent iron ion (Fe3+) solution with a sufficiently high concentration of Fe3+ . Another experiment revealed that an instantaneous chemical reaction takes place between the two fluids, and at high Fe3+ concentrations it produces a film of the gel at the contact plane. The gel film is proposed to be responsible for the spiral pattern.
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http://dx.doi.org/10.1103/PhysRevE.78.026307 | DOI Listing |
Small
January 2025
Ministry of Education Key Laboratory for the Green Preparation and Application of Functional Materials, School of Materials Science and Engineering, Hubei University, Wuhan, 430062, P. R. China.
Innovative design strategies of fog harvesting devices (FHDs) demonstrate promising remedy for water crisis in arid areas. 1D FHDs ensure unimpeded wind circulation and can be manufactured more cost-effectively for extensive regions. Inspired by cactus thorns, desert beetles, and spider silk, two metal organic frameworks (MOFs) functionalized Cu wires with opposite wettability are double-twisted by a mechanical twisting machine, forming 1D double-spiral Cu wires with alternating superhydrophobic/superhydrophilic dual-MOF patterns.
View Article and Find Full Text PDFSci Rep
January 2025
Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Yamadaoka 2-1, Suita, 565-0871, Osaka, Japan.
Heterogeneity is a critical determinant for multicellular pattern formation. Although the importance of microscale and macroscale heterogeneity at the single-cell and whole-system levels, respectively, has been well accepted, the presence and functions of mesoscale heterogeneity, such as cell clusters with distinct properties, have been poorly recognized. We investigated the biological importance of mesoscale heterogeneity in signal-relaying abilities (excitability) in the self-organization of spiral waves of intercellular communications by studying the self-organized pattern formation in a population of Dictyostelium discoideum cells, a classical signal-relaying system model.
View Article and Find Full Text PDFEur J Trauma Emerg Surg
January 2025
Department of Orthopaedics, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China.
Purpose: (1) To evaluate the incidence and combination types of concomitant malleolar and fibular fractures in patients with distal spiral tibial shaft fractures. (2) To evaluate the risk factors for concomitant malleolar fractures in patients with distal spiral tibial shaft fractures.
Methods: A retrospective review was performed on 64 cases of surgically treated distal spiral tibial shaft fractures with complete radiographs and computed tomography (CT) scans.
J Otol
October 2024
The Institute of Audiology and Balance Science, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China.
Objective: This study aims to explore the expression patterns of cysteine string protein alpha (CSPα) and cysteine string protein beta (CSPβ) in the mammalian inner ear, with an emphasis on their temporal dynamics during the developmental stages of C57BL/6 mice.
Methods: We utilized immunofluorescence staining to assess the localization and distribution of CSPα and CSPβ within the inner ears of C57BL/6 mice and miniature pigs. Additionally, this method facilitated the investigation of their temporal expression profiles.
Sensors (Basel)
December 2024
School of Mechanical Electrical and Information Engineering, Shandong University, Weihai 264209, China.
Feature selection (FS) is a key process in many pattern-recognition tasks, which reduces dimensionality by eliminating redundant or irrelevant features. However, for complex high-dimensional issues, traditional FS methods cannot find the ideal feature combination. To overcome this disadvantage, this paper presents a multispiral whale optimization algorithm (MSWOA) for feature selection.
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