36 research outputs found
Non-coding RNA model improves prognostic prediction in patients with nephroblastoma
Background. Nephroblastoma (Wilms tumor) is a common abdominal malignancy in children, ranking second among abdominal malignancies in children, but the pathogenesis is still unclear, and further research on their molecular mechanisms is needed.
Method. We obtained lncRNA expression and clinical data from the TARGET database of the GDC data portal of the American Cancer Institute. Effective patient samples were determined based on gene differential expression analysis and clinical data screening. The risk calculation model was established by univariate and multivariate Cox regression analysis, after which the samples were divided into training group and test group to predict the prognosis of patients with nephroblastoma, and then the independent validation on gender was carried out for all samples. Finally, the corresponding target genes of lncRNA were predicted for functional enrichment analysis to explore the enrichment of genes and the interaction between them.
Result. 125 valid samples were identified after screening 136 samples. After experimental analysis, five significant lncRNAs (AC00423
Novel Isolating Approaches to Circulating Tumor Cell Enrichment Based on Microfluidics: A Review
Circulating tumor cells (CTCs), derived from the primary tumor and carrying genetic information, contribute significantly to the process of tumor metastasis. The analysis and detection of CTCs can be used to assess the prognosis and treatment response in patients with tumors, as well as to help study the metastatic mechanisms of tumors and the development of new drugs. Since CTCs are very rare in the blood, it is a challenging problem to enrich CTCs efficiently. In this paper, we provide a comprehensive overview of microfluidics-based enrichment devices for CTCs in recent years. We explore in detail the methods of enrichment based on the physical or biological properties of CTCs; among them, physical properties cover factors such as size, density, and dielectric properties, while biological properties are mainly related to tumor-specific markers on the surface of CTCs. In addition, we provide an in-depth description of the methods for enrichment of single CTCs and illustrate the importance of single CTCs for performing tumor analyses. Future research will focus on aspects such as improving the separation efficiency, reducing costs, and increasing the detection sensitivity and accuracy
Psychosocial impacts of mobile game on K12 students and trend exploration for future educational mobile games
Due to the popularity and advancement of 4G/5G networks, mobile games have already currently become profitable tools for major internet platforms. These games are even refined to cover almost all age groups of the population rather than the young people. Yet in the perception of the public, mobile games have always seemed to be associated with various derogatory terms such as interfering with learning, addiction, and violence. K12 students usually have less self-control capability, and they are undoubtedly the biggest advocates of mobile games. This paper summarizes the technological development of mobile games from the aspects of hardware and software in chronological order. The psychological and social problems that mobile games have brought to K12 students are analyzed from a neutral perspective. At the end of the paper, the future development of educational games and current limitations of mobile games are also given for the explorations of future trends of game-based education. This position paper aims to provide the insight of what psychosocial impacts that the current mobile games have on the student, and it may also serve as a reference for the how the game-based education has been developing according to the mobile technology wise.Published versio
Data from: Natural enemies govern ecosystem resilience in the face of extreme droughts
Severe droughts are on the rise in many regions. But thus far, attempts to predict when drought will cause a major regime shift or when ecosystems are resilient, often using plant drought tolerance models, have been frustrated. Here we show that pressure from natural enemies regulates an ecosystem’s resilience to severe droughts. Field experiments revealed that in protected salt marshes experiencing a severe drought, planting-eating grazers eliminated drought-stressed vegetation that could otherwise survive and recover from the climate extreme, transforming once lush marshes into persistent salt barrens. These results provide an explicit experimental demonstration for the obligatory role of natural enemies across the initiation, expansion and recovery stages of a natural ecosystem’s collapse. Our study highlights that natural enemies can hasten an ecosystem’s resilience to drought to much lower levels than currently predicted, calling for integration into climate change predictions and conservation strategies
Data supporting results in Figures 1-3, main text, and supplementary figures
This data file contains the data supporting the results of the paper: He et al. Natural enemies govern ecosystem resilience in the face of extreme droughts. Ecology Letters.
All codes of treatments, sites, years, response measures are consistent with those described in the paper. Please refer to the paper for details of the experimental treatments and methods
Multi-Wavelength Photoacoustic Temperature Feedback Based Photothermal Therapy Method and System
Photothermal therapy (PTT) is a new type of tumor treatment technology that is noninvasive, repeatable, and does not involve radiation. Owing to the lack of real-time and accurate noninvasive temperature measurement technology in current PTT surgical procedures, empirical and open-loop treatment laser power control mode inevitably leads to overtreatment. Thermal radiation causes irreversible damage to normal tissue around cancer tissue and seriously affects the therapeutic effect of PTT and other therapies conducted at the same time. Therefore, real-time measurement and control of the temperature and thermal damage of the therapeutic target are critical to the success of PTT. To improve the accuracy and safety of PTT, we propose a multi-wavelength photoacoustic (PA) temperature feedback based PTT method and system. PA thermometry information at different wavelengths is mutually corrected, and the therapeutic light dose is regulated in real time to accurately control the treatment temperature. The experimental results on the swine blood sample confirm that the proposed method can realize real-time temperature measurement and control of the target area with an accuracy of 0.56 °C and 0.68 °C, demonstrating its good prospects for application
3D Face Reconstruction Using A Spectral-Based Graph Convolution Encoder
Monocular 3D face reconstruction plays a crucial role in avatar generation,
with significant demand in web-related applications such as generating virtual
financial advisors in FinTech. Current reconstruction methods predominantly
rely on deep learning techniques and employ 2D self-supervision as a means to
guide model learning. However, these methods encounter challenges in capturing
the comprehensive 3D structural information of the face due to the utilization
of 2D images for model training purposes. To overcome this limitation and
enhance the reconstruction of 3D structural features, we propose an innovative
approach that integrates existing 2D features with 3D features to guide the
model learning process. Specifically, we introduce the 3D-ID Loss, which
leverages the high-dimensional structure features extracted from a
Spectral-Based Graph Convolution Encoder applied to the facial mesh. This
approach surpasses the sole reliance on the 3D information provided by the
facial mesh vertices coordinates. Our model is trained using 2D-3D data pairs
from a combination of datasets and achieves state-of-the-art performance on the
NoW benchmark.Comment: 4 pages, 3 figures. Accepted to WWW 202
Multi-Wavelength Photoacoustic Temperature Feedback Based Photothermal Therapy Method and System
Photothermal therapy (PTT) is a new type of tumor treatment technology that is noninvasive, repeatable, and does not involve radiation. Owing to the lack of real-time and accurate noninvasive temperature measurement technology in current PTT surgical procedures, empirical and open-loop treatment laser power control mode inevitably leads to overtreatment. Thermal radiation causes irreversible damage to normal tissue around cancer tissue and seriously affects the therapeutic effect of PTT and other therapies conducted at the same time. Therefore, real-time measurement and control of the temperature and thermal damage of the therapeutic target are critical to the success of PTT. To improve the accuracy and safety of PTT, we propose a multi-wavelength photoacoustic (PA) temperature feedback based PTT method and system. PA thermometry information at different wavelengths is mutually corrected, and the therapeutic light dose is regulated in real time to accurately control the treatment temperature. The experimental results on the swine blood sample confirm that the proposed method can realize real-time temperature measurement and control of the target area with an accuracy of 0.56 °C and 0.68 °C, demonstrating its good prospects for application