We investigate the feasibility of using a known elastic target located near the seabed for the purpose of inferring characteristics of marine sediment. In the problem considered the object position and its burial depth are not known with precision. First, the admittance matrix of the elastic object is determined (numerically or experimentally) over a wide frequency range in the structural acoustic regime. Then, the equivalent source method (ESM) coupled with a spectral representation of the Green's functions in stratified domains is used to predict the object acoustic signature in various environments and experimental configurations. The resulting solver takes into account all multiple scattering between target (buried or not), sea floor, and sea surface and is not limited to short distances. After presenting the solution to the forward problem several synthetic inversions for sediment characteristics are shown. They are based upon a resonance-based misfit function we describe. The Bayesian procedure also infers object burial and source-object range, broadening its range of application.
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http://dx.doi.org/10.1121/10.0012219 | DOI Listing |
Mitochondrial DNA B Resour
January 2025
East China Sea Ecological Center of the Ministry of Natural Resources, MNR, Shanghai, China.
In this study, the complete mitochondrial genome of was sequenced by Illumina high-throughput sequencing and its characteristics were analyzed. The mitogenome of is 16,635 bp long, and it encodes the standard set of 13 PCGs, 22 tRNA genes, and two rRNA genes. The mitogenome has a GC content of 29.
View Article and Find Full Text PDFMycoKeys
January 2025
Research Center of Natural History and Culture, Center for Yunnan Plateau Biological Resources Protection and Utilization, Key Laboratory of Yunnan Provincial Department of Education of the Deep-Time Evolution on Biodiversity from the Origin of the Pearl River, College of Biology and Food Engineering, Qujing Normal University, Qujing 655011, China.
Saprobic fungi are known for their critical role in decomposition and nutrient cycling. The study of saprobic fungi is equally important, as it helps in understanding their ecological roles and identifying their hidden diversity. This study focused on saprobic fungi on , which is poorly studied compared to economically important hosts like coffee, tea, and rubber.
View Article and Find Full Text PDFBMC Biol
January 2025
Institute of Rare Diseases, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, 610000, Sichuan, China.
Background: The advancements in second-/third-generation sequencing technologies, alongside computational innovations, have significantly enhanced our understanding of the genomic structure of Y-chromosomes and their unique phylogenetic characteristics. These researches, despite the challenges posed by the lack of population-scale genomic databases, have the potential to revolutionize our approach to high-resolution, population-specific Y-chromosome panels and databases for anthropological and forensic applications.
Objectives: This study aimed to develop the highest-resolution Y-targeted sequencing panel, utilizing time-stamped, core phylogenetic informative mutations identified from high-coverage sequences in the YanHuang cohort.
Mol Biol Evol
January 2025
State Key Laboratory for Crop Stress Resistance and High-Efficiency Production/Shaanxi Key Laboratory of Apple, College of Horticulture, Northwest A&F University, Yangling 712100, China.
Nucleotide-binding leucine-rich repeat receptor (NLR) genes encode a pivotal class of plant immune receptors. However, their rampant duplication and loss have made inferring their genomic evolutionary trajectory difficult, exemplified by the loss of TNL family genes in monocots. In this study, we introduce a novel classification system for angiosperm NLR genes, grounded in network analysis of micro-synteny information.
View Article and Find Full Text PDFFront Med (Lausanne)
January 2025
Shanghai Engineering Research Center of Tooth Restoration and Regeneration, Tongji Research Institute of Stomatology, Department of Prosthodontics, Shanghai Tongji Stomatological Hospital, Dental School, Tongji University, Shanghai, China.
Background: The conventional treatment for locally advanced head and neck squamous cell carcinoma (LA-HNSCC) is surgery; however, the efficacy of definitive chemoradiotherapy (CRT) remains controversial.
Objective: This study aimed to evaluate the ability of deep learning (DL) models to identify patients with LA-HNSCC who can achieve organ preservation through definitive CRT and provide individualized adjuvant treatment recommendations for patients who are better suited for surgery.
Methods: Five models were developed for treatment recommendations.
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