MGCT: Mutual-Guided Cross-Modality Transformer for Survival Outcome Prediction using Integrative Histopathology-Genomic Features

The rapidly emerging field of deep learning-based computational pathology has shown promising results in utilizing whole slide images (WSIs) to objectively prognosticate cancer patients. However, most prognostic methods are currently limited to either histopathology or genomics alone, which inevitably reduces their potential to accurately predict patient prognosis. Whereas integrating WSIs and genomic features presents three main challenges: (1) the enormous heterogeneity of gigapixel WSIs which can reach sizes as large as 150,000x150,000 pixels; (2) the absence of a spatially corresponding relationship between histopathology images and genomic molecular data; and (3) the existing early, late, and intermediate multimodal feature fusion strategies struggle to capture the explicit interactions between WSIs and genomics. To ameliorate these issues, we propose the Mutual-Guided Cross-Modality Transformer (MGCT), a weakly-supervised, attention-based multimodal learning framework that can combine histology features and genomic features to model the genotype-phenotype interactions within the tumor microenvironment. To validate the effectiveness of MGCT, we conduct experiments using nearly 3,600 gigapixel WSIs across five different cancer types sourced from The Cancer Genome Atlas (TCGA). Extensive experimental results consistently emphasize that MGCT outperforms the state-of-the-art (SOTA) methods.Comment: 7 pages, 4 figures, accepted by 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2023

Design and model analysis of the sonic vibration head

As a novel environmental sampling technique, sonic vibration drilling has been rapidly developed in the past few years. The penetration force is generated from two eccentric shafts driven by hydraulic motors. This gives rise to the vertical oscillation of the drill pipe to drill in the stratum. As the most important parts of the sonic driller, the vibration head consists of eccentric structure, synchronization mechanism, supporting structure and rotating structure. In the first part of this paper, a 3D mathematical model was developed after analyzing the working law of sonic vibration head by using SolidWork. In the second part, the model was stimulated in order to predict the performances of the sonic vibration head by using ANASYS. In the third part, a physical prototype was developed to conduct practical experiments, confirming feasibility of the previous design and stimulation, and making good references for future optimization

Research and Design of Indoor Parking Guidance System for Urban Traffic

In view of the existing drawbacks of indoor parking guidance system in commercial areas, this paper designs an indoor parking guidance system suitable for urban traffic. The owner first selects the appropriate parking lot through the Mini Program, and reserves a detailed parking space on the Mini Program, and after arriving at the parking lot, the Mini Program performs optimal path planning according algorithm to guide the owner to find the parking space. After arriving at the reserved parking space according to the prompts, the smart parking lock is unlocked by "one-key unlock", and the video detection system observes the parking behavior in real time to avoid the occurrence of illegal parking. At the same time, voice assistants and blind spot guidance facilities are also provided during the induction process to optimize the urban parking guidance system

Development of Downhole Motor Drilling Test Platform

AbstractThe Downhole motor is a kind of important rotary or percussive power drilling tool driven by high pressure mud. Drilling using downhole motor can reduce the energy consumption caused by the friction between long drill string and borehole, and reduce drill pipe wear. In this paper, some important drilling simulation experimental devices around the world have been studied, especially, two kind of drilling simulation experimental devices, the conventional bottom hole experimental device and high temperature and high pressure experimental devices have been analyzed respectively. At home and abroad, the typical drilling simulation devices include ZM-35, LST-10, LMT-I, M150, and Terra Tek, etc.. The characters, structures, principles and experimental methods of these typical simulation devices had been introduced in detail, which provides a reference for developing downhole motor testing and drilling process testing

Protective effects of Naringin in a rat model of spinal cord ischemia–reperfusion injury

Purpose: To evaluate the activity of naringin (NAR) in a rat model of spinal cord ischemic injury (SCII).Methods: Forty female rats were randomized into four groups: saline without  occlusion (control; group I), SCII (group II), 50 mg/kg NAR (group III), or 100 mg/kg NAR (group IV) for 7 days prior to SCI insult (pre-treatment). Neurological and locomotor functions, antioxidant activity, edema and inflammatory markers were determined.Results: Pre-treatment with NAR considerably lowered the incidence of spinal edema, lipid peroxidation products, and inflammatory markers (TNF-α, NF-p65, IL-1β, and IL-6). It also successfully reverted the antioxidative activity to near-normal levels and improved locomotor function by protecting spinal tissue from oxidative damage and inflammatory insults. NAR administration effectively downregulated the protein expression of TNF-α and NF-κB p65 subunit in spinal tissue, thus confirming its antiinflammatory activity.Conclusion: The results suggests that NAR exhibits neuroprotective effects by inhibiting free radical generation and downregulating inflammatory markers in an SCI rat model.Keywords: Naringin, Spinal cord injury, Locomotor function, Edema, Oxidative  stress, Inflammatio