Multi-fusion strategy network-guided cancer subtypes discovering based on multi-omics data by Jian Liu, Xinzheng Xue, Pengbo Wen, Qian Song, Jun Yao, Shuguang Ge

“…Kaplan Meier survival curves and other results showed that SMMSN can obtain cancer subtypes with significant differences.DiscussionIn the case analysis of Glioblastoma Multiforme (GBM) and Breast Invasive Carcinoma (BIC), we conducted survival time and age distribution analysis, drug response analysis, differential expression analysis, functional enrichment analysis on the predicted cancer subtypes. …”
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Sensing the Changes in Stratum Corneum Using Fourier Transform Infrared Microspectroscopy and Hyperspectral Data Processing by Krzysztof Banas, Agnieszka M. Banas, Giorgia Pastorin, Ngai Mun Hong, Shikhar Gupta, Katarzyna Dziedzic-Kocurek, Mark B. H. Breese

“…This microscopic perspective opens up the possibility of detecting subtle heterogeneities within the skin’s lipid matrix, offering deeper, previously unattainable understanding of the SC’s barrier function. Additionally, the exploration of spectral filtering methods enhances the precision of the analysis, paving the way for more refined and reliable investigations of skin structure and behavior in future research.…”
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Leak detection characteristics of point and line sensors for foundational data in smart safety management systems by Hyeon-Ki Lee, Tae-Woong Park, Hyeong-Soo Kim, Hyeong-Joo Kim

“…The leak detection characteristics of fifth-generation point sensors and film-type leak sensors were determined to provide foundational data for sensor system research. A comparative analysis of electrical conductivity revealed that sodium hydroxide had approximately 0.5 to 0.6 times the conductivity of sulfuric acid, indicating that alkaline solutions generally have a lower electrical conductivity than acidic solutions. …”
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DFT Studies on Physicochemical Properties and Spectral Data of 2-Thiophene Carboxylic Acid Thiourea Derivatives by Andreea Neacsu, Carmellina Badiceanu, Cristina Stoicescu, Viorel Chihaia

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The impact of exercise on skeletal muscle proteome of prediabetic subjects analyzed with data independent mass spectrometry by Anna Czajkowska, Łukasz Szczerbiński, Marcin Czajkowski, Anna Citko-Rojewska, Paulina Konopka, Agnieszka Blachnio-Zabielska, Adam Krętowski, Piotr Zabielski

“…In conclusion, our study underlines the importance of the ion library assembly in the DIA analysis of clinical samples and confirms at molecular level changes connected with deficiency of muscle function in the prediabetic state.…”
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An Archive-based Steady-State Fuzzy Differential Evolutionary Algorithm for Data Clustering (ASFDEaDC) by Nushrat Praveen, Vally D

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Multi-Domain Environmental Quality of Indoor Mixed-Use Open Spaces and Insights into Healthy Living—A Quarantine Hotel Case Study by Han Wang, Wenjian Pan

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Data mining and socio-spatial patterns of COVID-19: geo-prevention keys for tackling the pandemic by Olga De Cos Guerra, Valentín Castillo Salcines, David Cantarero Prieto

“…To that end the research is based on data mining methods (3D bins and emerging hot-spots) and exploratory geo-statistical analysis (Global Moran’s Index, Nearest Neighbourhood and Ordinary Least Square analyses, among others). …”
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Deep Temporal Clustering of Pathological Gait Patterns in Post-Stroke Patients Using Joint Angle Trajectories: A Cross-Sectional Study by Gyeongmin Kim, Hyungtai Kim, Yun-Hee Kim, Seung-Jong Kim, Mun-Taek Choi

“…While this study primarily utilizes sagittal plane data, future analysis incorporating coronal and transverse planes as well as muscle activity and gait symmetry could provide a more comprehensive understanding of gait patterns.…”
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Toward Integrated Urban Observatories: Synthesizing Remote and Social Sensing in Urban Science by Danlin Yu

“…The fusion of these complementary paradigms through advanced data analytics and multimodal integration has produced transformative methodologies, enhancing urban resilience frameworks, functional zone delineation, and real-time disaster responses. …”
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Use of digital data from open sources during the investigation of criminal offenses: certain aspects by Basysta I., Havrylyuk L., Hutnyk A., Khytra A.

“…Methodology. An analysis of national legislation, national judicial practice, the Berkeley protocol for conducting an investigation using open digital data (hereinafter referred to as the Berkeley Protocol), the practice of the European Court of Human Rights, the International Criminal Court and scientific research, based on which, by means of a synthesis, the basis of the problem was identified. …”
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Cross-dimensional adaptivity research on a 3D earth observation data cube model by Yu Jinsongdi, Cui Zhanying, Baumann Peter, Tong Ruiju, Wei Dandan, Luo Yuan

“…This finding has significant implications in the field of EO data analysis, enabling seamless interaction between data cubes with different dimensions. …”
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Characterizing cell-type spatial relationships across length scales in spatially resolved omics data by Rafael dos Santos Peixoto, Brendan F. Miller, Maigan A. Brusko, Gohta Aihara, Lyla Atta, Manjari Anant, Mark A. Atkinson, Todd M. Brusko, Clive H. Wasserfall, Jean Fan

“…Application of such technologies offers the opportunity to delineate cell-type spatial relationships, particularly across different length scales, and enhance our understanding of tissue organization and function. To quantify such multi-scale cell-type spatial relationships, we present CRAWDAD, Cell-type Relationship Analysis Workflow Done Across Distances, as an open-source R package. …”
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Implementation of a Web-Based Waste Collection Data System Using QR Code Scanning by Ibrahim Aji Fajar Romadhon, Arif Nur Rohman, Yoga Pristyanto

“…The testing results demonstrate that all features function effectively as intended. The implementation of this system is expected to enhance the efficiency of waste collection data management, improve environmental quality, and increase community satisfaction in Yogyakarta City.…”
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Modeling of a Small Transportation Company’s Start-Up with Limited Data during Economic Recession by Xiaoping Fang, Jake Ansell, Weiya Chen

“…This paper presents a modeling method for analyzing a small transportation company’s start-up and growth during a global economic crisis which had an impact on China which is designed to help the owners make better investment and operating decisions with limited data. Since there is limited data, simple regression model and binary regression model failed to generate satisfactory results, so an additive periodic time series model was built to forecast business orders and income. …”
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A deep ensemble framework for human essential gene prediction by integrating multi-omics data by Xue Zhang, Weijia Xiao, Brent Cochran, Wangxin Xiao

“…DeEPsnap integrates the features derived from DNA and protein sequence data with the features extracted or learned from four types of functional data: gene ontology, protein complex, protein domain, and protein-protein interaction networks. …”
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Design and Implementation of Fault Diagnosis and Data Synchronization Scheme Based on Train Redundant Display Platform by TIAN Deqiang, JIANG Xuezhai, ZHANG Xiaofeng, ZHANG Guangqiang, LIAO Jifang

“…The experimental results indicate that on the one hand, this scheme provides comprehensive self-diagnosis and redundant display unit state mutual diagnosis from the application layer, providing a basis for fault analysis and localization. On the other hand, it provides a way for two display units to work coordinately through key data synchronization and storage functions.…”
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Metro Train Stopping Scheme Decision Based on Multisource Data in Express-Local Train Mode by Jin Li, Yaqiu Wang, Shiyin Zhang, Huasheng Liu

“…Based on the multisource data, the spatial weight function is introduced to fuse the point of interest data and real estate information data, from which one obtains the residential index and office index, and the cluster analysis is conducted to obtain the potential stop scheme. …”
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Refinement of Recloser Operation and Safety Enhancement in Distribution Systems: A Study Based on Real Data by Geonho Kim, Tae-Hwan Kim, Jun-Hyeok Kim

“…The 1F1D (one fast, one delayed) sequence, which applies a delayed trip after an initial fast trip, offers a better fault-clearing performance and reduces the risk of arc generation. Lastly, an analysis of the high-current interruption feature suggested that enabling this function for faults with low reclosing success rates, particularly in cases of short-circuit faults, and setting an immediate trip threshold for fault currents exceeding 3 kA would enhance both safety and efficiency. …”
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A Deep Learning Strategy for the Retrieval of Sea Wave Spectra from Marine Radar Data by Giovanni Ludeno, Giuseppe Esposito, Claudio Lugni, Francesco Soldovieri, Gianluca Gennarelli

“…A performance analysis of the proposed deep-learning estimation strategy is carried out, along with a comparison to the classical modulation transfer function approach. …”
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