Identification of metastasis-associated genes in colorectal cancer through an integrated genomic and transcriptomic analysis

Objective： Identification of colorectal cancer （CRC） metastasis genes is one of the most important issues in CRC research. For the purpose of mining CRC metastasis-associated genes, an integrated analysis of mJcroarray data was presented, by combined with evidence acquired from comparative genornic hybridization （CGH） data. Methods： Gene expression profile data of CRC samples were obtained at Gene Expression Omnibus （GEO） website. The 15 important chromosomal aberration sites detected by using CGH technology were used for integrated genomic and transcriptomic analysis. Significant Analysis of Microarray （SAM） was used to detect significantly differentially expressed genes across the whole genome. The overlapping genes were selected in their corresponding chromosomal aberration regions, and analyzed by using the Database for Annotation, Visualization and Integrated Discovery （DAVID）. Finally, SVM-T-RFE gene selection algorithm was applied to identify ted genes in CRC. Results： A minimum gene set was obtained with the minimum number [14] of genes, and the highest classification accuracy （100%） in both PRI and META datasets. A fraction of selected genes are associated with CRC or its metastasis. Conclusions- Our results demonstrated that integration analysis is an effective strategy for mining cancer- associated genes.

Perspectives on point cloud-based 3D scene modeling and XR presentation within the cloud-edge-client architecture

With the support of edge computing,the synergy and collaboration among central cloud,edge cloud,and terminal devices form an integrated computing ecosystem known as the cloud-edge-client architecture.This integration unlocks the value of data and computational power,presenting significant opportunities for large-scale 3D scene modeling and XR presentation.In this paper,we explore the perspectives and highlight new challenges in 3D scene modeling and XR presentation based on point cloud within the cloud-edge-client integrated architecture.We also propose a novel cloud-edge-client integrated technology framework and a demonstration of municipal governance application to address these challenges.

Identifying visual sensitive areas:an evaluation of view corridors to support nature-culture heritage conservation in Chiang Mai historic city

The visual integrity of mountains contributing to cultural landscapes as nature-culture attributes is often obscured by the vertical intrusive built environment,especially in bufer areas of protected heritage zones.Therefore,this study argued that even low/medium-rise buildings that inappropriately appear in the horizontal visual plane could be a factor increasing sensitivity to this panoramic view.An integrative tool–visual sensitivity assessment–consists of Viewshed and Skyline analysis considering the pedestrian’s visual limitation in identifying the sensitive areas of the mountain view corridor in the historic city of Chiang Mai.The visible mountain areas(VMAs)were determined as a baseline,and their relationship with the visible building areas(VBAs)was then examined using statistical correlation to defne a strong negative relationship as the visual sensitive areas in fve zones.The results showed that the bufer zone was found to have more areas with visual sensitivity values,but this varies depending on the characteristics of buildings and the assessment from the view corridor.Meanwhile,in height-restricted areas,such as historic area zone 5,there are some concerns about the visual intrusion,which necessitates continuous monitoring using the assessment result as a guideline.Incorporating the results into implementation could support cultural landscape conservation in Chiang Mai city.The method is applicable in historic cities with similar settings to produce the baseline for the built environment that is harmonious with the cultural and historical characteristics of the city and with respect to its broader setting.

Neurofeedback Treatment Study for ADHD by Using the Brain-Computer Interface Neurofeedback System

Neurofeedback or electroencephalogram(EEG) biofeedback technology is widely used in clinical rehabilitation field. In this paper, we used a brain-computer interface(BCI) neurofeedback system for attention deficit hyperactivity disorder(ADHD) children treatment.After 20 training sessions, integrated visual and auditory-conhnuous performance test(IVA-CPT), DSM-IV and conner scale results suggested that the attention ofsubjectshad been strengthened, which showed that the BCI neurofeedback system could provide an effective therapyfor treating ADHDchildren.