Guoyu Lu

Intranucleolar Invasion of Cajal Body Remnants Suppresses Ribosomal Biogenesis in cis and Telomerase Functions in trans

Alexander Morris, Julia Hoopman, Vidhyadhar Nandana, Cameron Genxuan Lian et autres

Cellular processes are compartmentalized within immiscible heterotypic condensates, yet the functional consequences of losing their physical segregation remain unclear. Here, we show that genetic inactivation of the RNA chaperone SMN forces the aberrant intermixing of the two most prominent nuclear condensates: nucleolus …

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Deep Learning–Based Corn Yield Component Estimation Under Different Nitrogen and Irrigation Rates

Binita Ghimire, Lorena N. Lacerda, Thirimachos Bourlai, Guoyu Lu

The number of kernels per ear is a key yield parameter that reflects the effects of breeding and agronomic management practices on crop productivity. However, conventional manual counting is labor-intensive, time-consuming, and prone to human error. This study evaluated the performance of …

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WISP2 Overexpression Is Associated with Reduced Vasculogenic Mimicry and Epithelial–Mesenchymal Transition in Gastric Cancer

Xinning Xu, Yecheng Chen, L N Zhang, Pengyi Pan et autres

OBJECTIVE: To investigate the association between WISP2 overexpression, vasculogenic mimicry (VM), and epithelial-mesenchymal transition (EMT) in gastric cancer. METHODS: Pathological specimens from 50 patients who underwent radical gastrectomy at the First Affiliated Hospital of Bengbu Medical College between February 2022 and February …

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Enhancing Point Cloud Feature Representation through Textual Domain Alignment: Simple but Effective

Qihui Li, Qiliang Du, Lianfang Tian, Wenzhi Liao et autres

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Enhancing point cloud feature representation via historical node state increments in graph neural networks

Qihui Li, Qiliang Du, Lianfang Tian, Guoyu Lu

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Adaptive Event Stream Slicing for Open-Vocabulary Event-Based Object Detection via Vision-Language Knowledge Distillation

Jinchang Zhang, Zijun Li, Jiakai Lin, Guoyu Lu

Event cameras offer advantages in object detection tasks due to high-speed response, low latency, and robustness to motion blur. However, event cameras lack texture and color information, making open-vocabulary detection particularly challenging. Current event-based detection methods are typically trained on predefined categories, …

Assessing ornamental tree maturity and spray requirements using depth sensing and LiDAR technologies

Aleena Rayamajhi, Guoyu Lu, E. W. Tollner, Jean Williams‐Woodward et autres

Effective assessment of tree maturity and agrochemical application requirements is important for optimizing resource use and sustainability in woody ornamental nurseries. This study integrates a ground-based red, green, blue – depth (RGB-D) camera and Light Detection and Ranging (LiDAR) system to measure …

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Tracking Poultry Drinking Behavior and Floor Eggs in Cage-Free Houses with Innovative Depth Anything Model

Xiao Yang, Guoyu Lu, Jinchang Zhang, Bidur Paneru et autres

In recent years, artificial intelligence (AI) has significantly impacted agricultural operations, particularly with the development of deep learning models for animal monitoring and farming automation. This study focuses on evaluating the Depth Anything Model (DAM), a cutting-edge monocular depth estimation model, for …

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Depth Estimation Based on 3D Gaussian Splatting Siamese Defocus

Jinchang Zhang, Ningning Xu, Hao Zhang, Guoyu Lu

Depth estimation is a fundamental task in 3D geometry. While stereo depth estimation can be achieved through triangulation methods, it is not as straightforward for monocular methods, which require the integration of global and local information. The Depth from Defocus (DFD) method …

Language-Depth Navigated Thermal and Visible Image Fusion

Jinchang Zhang, Zijun Li, Guoyu Lu

Depth-guided multimodal fusion combines depth information from visible and infrared images, significantly enhancing the performance of 3D reconstruction and robotics applications. Existing thermal-visible image fusion mainly focuses on detection tasks, ignoring other critical information such as depth. By addressing the limitations of …

Machine-learning approach facilitates prediction of whitefly spatiotemporal dynamics in a plant canopy

Denis Olgen Kiobia, Canicius Mwitta, Peter C Ngimbwa, Jason M. Schmidt et autres

Plant-specific insect scouting and prediction are still challenging in most crop systems. In this article, a machine-learning algorithm is proposed to predict populations during whiteflies (Bemisia tabaci, Hemiptera; Gennadius Aleyrodidae) scouting and aid in determining the population distribution of adult whiteflies in …

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Precision Monitoring of Dead Chickens and Floor Eggs with a Robotic Machine Vision Method

Xiao Yang, Jinchang Zhang, Bidur Paneru, Jiakai Lin et autres

Modern poultry and egg production is facing challenges such as dead chickens and floor eggs in cage-free housing. Precision poultry management strategies are needed to address those challenges. In this study, convolutional neural network (CNN) models and an intelligent bionic quadruped robot …

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