We first investigate how the flatness and the symmetry of the -tensor impact both the base manifold and the fiber manifold of a warped product manifold. In both cases, we determine the form of the -tensor on both the fiber and the base manifolds. Additionally, we establish that the fiber manifold is of constant curvature, while the base manifold is Einstein. It is also proved that a -curvature flat GRW space-time is perfect fluid and static. Furthermore, the space-time either represents dark matter era or the state equation has a specific form.
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http://dx.doi.org/10.1016/j.heliyon.2024.e36355 | DOI Listing |
JASA Express Lett
January 2025
Department of Linguistics, Yale University, New Haven, Connecticut 06520,
This study investigates the articulatory correlates of consonantal length contrasts in Japanese mimetic words using electromagnetic articulography data. Regression and dynamic time warping analyses applied to intragestural timing, kinematic properties, and intergestural timing reveal that Japanese geminates are characterized by longer closure phases, longer gestural plateaus, higher tongue tip positions, larger movements, and lower stiffness. Geminates also exhibit distinct timing relationships with adjacent vowels, specifically, longer times to target that allow for longer preceding vowels.
View Article and Find Full Text PDFPolymers (Basel)
December 2024
Collage of Mechanical & Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
The curing distortion is a critical determinant of the quality of integrally manufactured composite structures, playing a pivotal role in the design and fabrication of composite. This paper presents two simplified methods in predicting the curing distortion for large-scale composite aircraft structures manufactured through the autoclave process. Firstly, the refined finite element models of the two simplified methods were developed.
View Article and Find Full Text PDFSci Rep
January 2025
School of Information and Communication Engineering, North University of China, Taiyuan, 030051, China.
The Insulated Gate Bipolar Transistor (IGBT) is a crucial power semiconductor device, and the integrity of its internal structure directly influences both its electrical performance and long-term reliability. However, the precise semantic segmentation of IGBT ultrasonic tomographic images poses several challenges, primarily due to high-density noise interference and visual distortion caused by target warping. To address these challenges, this paper constructs a dedicated IGBT ultrasonic tomography (IUT) dataset using Scanning Acoustic Microscopy (SAM) and proposes a lightweight Multi-Scale Fusion Network (LMFNet) aimed at improving segmentation accuracy and processing efficiency in ultrasonic images analysis.
View Article and Find Full Text PDFEnviron Monit Assess
January 2025
School of Mathematical Sciences, Universiti Sains Malaysia, 11800 USM, Penang, Malaysia.
This study investigates the effectiveness and efficiency of two topological data analysis (TDA) techniques, the conventional Mapper (CM) and its variant version, the Ball Mapper (BM), in analyzing the behavior of six major air pollutants (NO, PM, PM, O, CO, and SO) across 60 air quality monitoring stations in Malaysia. Topological graphs produced by CM and BM reveal redundant monitoring stations and geographical relationships corresponding to air pollutant behavior, providing better visualization than traditional hierarchical clustering. Additionally, a comparative analysis of topological graph structures was conducted using node degree distribution, topological graph indices, and Dynamic Time Warping (DTW) to evaluate the sensitivity and performance of these TDA techniques.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Department of Computer Engineering, Inha University, Incheon 22212, Republic of Korea.
The degradation of clamping force in the core support barrel, which forms the internal structure of a nuclear power plant, has the potential to significantly impact the plant's safety and reliability. Previous studies have concentrated on the detection of clamping force degradation but have been constrained in their ability to identify the precise size and position. This study proposes a novel methodology for diagnosing the size and position of clamping force degradation in core support barrels, combining deep-learning techniques and dynamic time warping (DTW) algorithms.
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