Yanjiao Li

The Epitranscriptomic Landscape in Early Mammalian Embryonic Development: A Narrative Review

Sophie Emilie Bresson, Arne Klungland, Yanjiao Li

Early mammalian embryogenesis is driven by a tightly regulated transition from maternally inherited transcripts to zygotically transcribed RNA, a process that requires precise coordination of RNA stability, translation, and selective clearance of maternal transcripts. Emerging evidence places epitranscriptomic regulation at the centre …

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CircFN1 promotes invasion of papillary thyroid carcinoma cells by activating the PI3K/AKT pathway via the miR-29a/TRIB2 axis

Ning Zhang, Jingyan Zhang, Xiaonuo Wang, Ming Tao et autres

Background: Circular RNAs regulate cancer progression, but their mechanisms in papillary thyroid carcinoma (PTC) invasion remain incompletely defined. This study investigated circFN1 expression and function and examined whether circFN1 promotes PTC invasion through microRNA-29a (miR-29a)/tribbles pseudokinase 2 (TRIB2)-mediated PI3K/AKT activation. Methods: The …

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Physics‑informed machine learning modeling with dual SHAP analysis for predicting Salmonella Enteritidis growth on chicken meat treated with slightly acidic electrolyzed water

Yunxiang Zhu, Shan Bing, Yitian Zang, Yanjiao Li et autres

Slightly acidic electrolyzed water (SAEW) is an effective sanitizer for controlling Salmonella Enteritidis in chicken processing, but existing mechanistic models suffer from systematic prediction bias due to structural simplifications, limiting its precise application under complex temperature scenarios. To address this bias, we …

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Massive MIMO-OFDM ISAC for Sparse ISAR Imaging: Joint Power and Subcarrier Allocation

Hamid Reza Hashempour, Yanjiao Li, Jie Zhang, Hyundong Shin et autres

This paper investigates a massive multiple-input multiple-output (mMIMO) orthogonal frequency-division multiplexing (OFDM) framework for integrated sensing and communication (ISAC) with inverse synthetic aperture radar (ISAR) imaging, supporting applications such as the Internet of Things (IoT). A dual-function architecture combines communication precoding and …

Massive MIMO-OFDM ISAC for Sparse ISAR Imaging: Joint Power and Subcarrier Allocation

Hamid Reza Hashempour, Yanjiao Li, Jie Zhang, Hyundong Shin et autres

This paper investigates a massive multiple-input multiple-output (mMIMO) orthogonal frequency-division multiplexing (OFDM) framework for integrated sensing and communication (ISAC) with inverse synthetic aperture radar (ISAR) imaging, supporting applications such as the Internet of Things (IoT). A dual-function architecture combines communication precoding and …

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Energy-Efficient Federated Learning With Relay-Assisted Aggregation in IIoT Networks

Hamid Reza Hashempour, Mostafa Nozari, Gilberto Berardinelli, Yanjiao Li et autres

This paper presents an energy-efficient transmission framework for federated learning (FL) in industrial Internet of Things (IIoT) environments with strict latency and energy constraints. Machinery subnetworks (SNs) collaboratively train a global model by uploading local updates to an edge server (ES), either …

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Robust Contactless Human Respiration Monitoring Amid Moving Individuals Using Wi-Fi

Yanjiao Li, Jie Zhang, Qing Li, Yang Li et autres

Respiratory rate is an important vital sign that can be used to determine human physiological state. In recent years, Wi-Fi-based contactless respiration monitoring has drawn significant attention due to the prevalence of wireless local area network (WLAN) infrastructure. Most existing approaches to …

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Quantum-Assisted Memory-Efficient Training for Parameter-Intensive Wi-Fi-Based Human Activity Recognition

To Truong An, Jie Zhang, Guolin Yin, Junqing Zhang et autres

Wi-Fi-based human activity recognition (HAR) has become an important part of integrated sensing and communications, paving the way for a range of context-aware services. However, most existing Wi-Fi-based HAR systems rely on deep learning (DL) models that are computationally and memory intensive …

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Gendered language in telephone conversations: a corpus-based study of lexical, grammatical, and pragmatic variation

Yanjiao Li

Gender constitutes a central variable in studies of language variation, as it both reflects and challenges prevailing conceptions of how men and women are socialized into distinct conversational styles. The present study examines gender-related differences in spoken American English through an analysis …

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N 6 -Methyladenosine Safeguards Mouse and Human Germline Competence

Ru-Juan Zuo, Baoyan Bai, Kang-Xuan Jin, Erkut Ilaslan et autres

N 6 -Methyladenosine (m 6 A) regulation of germline entry in post-implantation-like-pluripotent states remains poorly defined. We characterized m 6 A depletion by Mettl3 or Mettl14 knock-down or METTL3 inhibition in in vitro models enabling primordial germ-cell-like-cell and somatic differentiation. Upon m …

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Broad H3K4me3 domains support oocyte genome silencing and maturation but are dispensable for repression in early embryos

Trine Skuland, Madeleine Fosslie, Sherif Khodeer, Endalkachew A. Alemu et autres

Epigenetic reprogramming and embryonic genome activation (EGA) are crucial events during early development. Establishment of distinctive broad histone H3 lysine 4 trimethylation (H3K4me3) domains in the oocyte is necessary for genome silencing, and their removal in the 2-cell embryo is crucial for …

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Semi-automatic detection of anteriorly displaced temporomandibular joint discs in magnetic resonance images using machine learning

Bin Ji, Yang Liu, Bin Zhou, Rui Mi et autres

BACKGROUND: Accurate diagnosis of anterior disc displacement (ADD) is essential for managing temporomandibular joint disorders (TMJ). This study employed machine learning (ML) to automatically detect anteriorly displaced TMJ discs in magnetic resonance images (MRI). METHODS: This retrospective study included patients with TMJ …

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