Predicting Accident Severity on Taiwan Highways Using Machine Learning and Electronic Toll Collection (ETC) Data by Pei-Chun Lin, Kuan-Yen Chen, Jenhung Wang

“…This rich dataset enabled the integration of data mining and data visualization techniques to uncover nontypical contributing factors to accident severity. …”
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Massively parallel unsupervised single-particle cryo-EM data clustering via statistical manifold learning. by Jiayi Wu, Yong-Bei Ma, Charles Congdon, Bevin Brett, Shuobing Chen, Yaofang Xu, Qi Ouyang, Youdong Mao

“…Structural heterogeneity in single-particle cryo-electron microscopy (cryo-EM) data represents a major challenge for high-resolution structure determination. …”
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Protocol to denoise spatially resolved transcriptomics data utilizing optimal transport-based gene filtering algorithm by Lin Du, Jingmin Kang, Jie Li, Hua Qin, Yong Hou, Hai-Xi Sun

“…We describe steps for data preparation, SpotGF score calculation, filtering threshold determination, denoised data generation, and visualization. …”
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A Comparative Study of K-means Clustering Algorithms Using Euclidean and Manhattan Distance for Climate Data. by Bakhshan Hamad

“…The K-means clustering algorithms (Random, K-means++, Canopy, and Farthest First) are unsupervised machine learning techniques designed to group data points based on their similarities. The study examined the effects of clustering algorithms and distance metrics on climate data analysis from meteorological stations in the Kurdistan Region of Iraq (2020–2022). 8-attribute dataset with 1,095 cases was clustered using Random, K-means++, Canopy, and Farthest First methods, evaluated with Euclidean and Manhattan distance metrics via the WEKA tools, which is a versatile and accessible open-source tool for machine learning and data mining. …”
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The use of patient-generated health data in the management of low anterior resection syndrome: a qualitative study by Olivia Monton, Olivia Monton, Allister Smith, Sarah Sabboobeh, Marie Demian, Julie Cornish, Steven D. Wexner, Peter Christensen, Peter Christensen, Amandeep Ghuman, Liliana G. Bordeianou, Liliana G. Bordeianou, Liliana G. Bordeianou, Celia Keane, Celia Keane, Syed Husain, Alessandra Gasior, Alessandra Gasior, Natalie Leon, Julie Savard, Lieba R. Savitt, Margit Majgaard, Gitte Kjær Sørensen, Melanie Mills, Fateme Rajabiyazdi, Marylise Boutros, Marylise Boutros

“…The future directions domain revealed that most experts felt that a clinical tool in the form of an online app or website to support data collection and enhance data visualization would be useful. …”
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Machine Learning-Based Harvest Date Detection and Prediction Using SAR Data for the Vojvodina Region (Serbia) by Gordan Mimić, Amit Kumar Mishra, Miljana Marković, Branislav Živaljević, Dejan Pavlović, Oskar Marko

“…Clustering of harvested and unharvested fields was performed with Principal Component Analysis, multidimensional scaling and t-distributed Stochastic Neighbour Embedding, for initial cluster visualization. It is shown that the separability of unharvested and harvested data in two-dimensional space does not depend on the selected method but more on the crop itself. …”
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Enhancing Disaster Situation Awareness Through Multimodal Social Media Data: Evidence from Typhoon Haikui by Songfeng Gao, Tengfei Yang, Yuning Xu, Naixia Mou, Xiaodong Wang, Hao Huang

“…Integrating text and image data from social media facilitates near real-time monitoring of disasters from the public perspective. …”
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Analysis of qRT-PCR Data to Identify the Most Stable Reference Gene Using gQuant by Abhay Pathak, Sukhad Kural, Shweta Singh, Lalit Kumar, Manjari Gupta, Garima Jain

“…Various tools are currently being used to identify a stably expressed gene by using qRT-PCR data of a few potential normalizer genes. However, existing tools for normalizer gene selection are fraught with both statistical limitations and inadequate graphical user interfaces for data visualization. gQuant, the tool presented here, essentially overcomes these limitations. …”
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Leveraging autoencoder models and data augmentation to uncover transcriptomic diversity of gingival keratinocytes in single cell analysis by Pradeep Kumar Yadalam, Prabhu Manickam Natarajan, Carlos M. Ardila

“…The Basic AE effectively modeled RNA-seq data complexity compared to Variational and Denoising Autoencoders. …”
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Interpretable Machine Learning Biosignature Detection From Ocean Worlds Analogue CO2 Isotopologue Data by Lily A. Clough, Victoria DaPoian, Jonathan D. Major, Lauren M. Seyler, Brett A. McKinney, Bethany P. Theiling

“…We develop and test a new biosignature detection ML model using a novel, laboratory‐generated, CO2 isotopologue data set of analogue OW samples. These data include various potential OW seawater chemistries and biotic mimicry. …”
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Enhancing Precipitation Nowcasting Through Dual-Attention RNN: Integrating Satellite Infrared and Radar VIL Data by Hao Wang, Rong Yang, Jianxin He, Qiangyu Zeng, Taisong Xiong, Zhihao Liu, Hongfei Jin

“…Additionally, we present a visualization of precipitation nowcasting, illustrating that the integration of multiple data sources effectively avoids overestimation of VIL values, further increasing the precision of precipitation forecasts.…”
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P-V-L Deep: A Big Data Analytics Solution for Now-casting in Monetary Policy by Maryam Hajipour Sarduie, Mohammadali Afshar Kazemi, Mahmood Alborzi, Adel Azar, Ali Kermanshah

“…So, it is necessary to consider the highly data-driven technologies and to use new methods of analysis, like machine learning and visualization tools, with the ability of interaction and connection to different data resources with varieties of data regarding the type of big data aimed at reducing the risks of policy-making institution’s investment in the field of IT. …”
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Effects and Safety of Press-Needle Therapy for Improving Visual Function and Eye Blood Circulation in Patients With Glaucoma With Controlled Intraocular Pressure: Study Protocol fo... by Hongji Liu, Yan Dai, Ming Yu, Jian Zeng, Chao Wang, Sa Tan, Ming Xiong, Ran Zhang, Xuemeng Yu, Mingsong Shi, Xing Yan, Fengming Lai

“…ConclusionsThis study will provide data on the effects of press-needle therapy on visual function and ocular circulation in patients with GPCI, and these results will help demonstrate whether acupuncture can improve patients’ visual function by regulating ocular circulation, thus providing a clinical and theoretical basis for the wider application of acupuncture therapy in GPCI. …”
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The Influence of Husband's Assistance Using Audio Visual Methods on Family Planning Participation in Long-Term Contraceptive Methods in Women of Childbearing Age in Kutuk Village,... by Liana Indah Sari, Juda Julia Kristiarini, Yuni Kusmiyati

“…With the results of this test, the data Ho is rejected and Ha is accepted, which means that the use of the audio-visual method influences the level of knowledge which influences the husband's support for family planning for long-term contraceptive methods. …”
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Dynamics of visual acuity, optical coherence tomography (OСT) and OСT angiography indicators of patients with dry form of age-related macular degeneration using double filtration p... by A. A. Volozhev, A. N. Kulikov, A. N. Belskih, D. S. Maltsev, S. E. Bednova

“…According to OCT, OCTA and visometry data, positive dynamics of structural and functional indices of the macular retina are observed in patients with sAMD after CPF. …”
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Using Artificial Intelligence Tools to Analyze Particulate Matter Data (PM_2.5) by Miriam Gómez Marín, Henry O. Sarmiento-Maldonado, Alba Nelly Ardila Arias, William Alonso Giraldo Aristizábal, Rubén Darío Vásquez-Salazar

“…A multivariable clustering methodology was evaluated using the LAMDA algorithm as an alternative tool for analyzing air quality data. This analysis was based on the assessment of marginal and global adequacy degrees for classification using temporal records of PM_2.5 data. …”
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A standardized framework for robust fragmentomic feature extraction from cell-free DNA sequencing data by Haichao Wang, Paulius D. Mennea, Yu Kiu Elkie Chan, Zhao Cheng, Maria C. Neofytou, Arif Anwer Surani, Aadhitthya Vijayaraghavan, Emma-Jane Ditter, Richard Bowers, Matthew D. Eldridge, Dmitry S. Shcherbo, Christopher G. Smith, Florian Markowetz, Wendy N. Cooper, Tommy Kaplan, Nitzan Rosenfeld, Hui Zhao

“…We design the Trim Align Pipeline and cfDNAPro R package as unified interfaces for data pre-processing, feature extraction, and visualization to standardize multi-modal feature engineering and integration for machine learning.…”
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Could a hand-held, visual electrophysiology device theoretically reduce diagnostic waiting times for complex eye conditions in the NHS? A Discrete Event Simulation (DES) modelling... by Steffen Bayer, Daniel Garillo, Marion Penn, Maria Chorozoglou, Sally Brailsford, Eloise Keeling, Fatima Shawkat, Perry Carter, Helena Lee, Jay E. Self

“…Abstract Background/objectives Visual Electro-Diagnostic Testing (EDTs) are a highly specialised service in the NHS. …”
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Effects of family planning education given to married illiterate women of reproductive age via visual material support on family planning related attitudes and contraceptive prefer... by Esra Güney, Sözdar Karakaş, Yurdagül Doğan

“…No intervention was made in the control group. Data were collected using a Personal Information Form, a Family Planning Assessment Form, and the Family Planning Attitude Scale. …”
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IDENTIFIKASI PENYAKIT DOMINAN KELAPA SAWIT MENGGUNAKAN PENDEKATAN VISUAL PADA TANAMAN BELUM MENGHASILKAN, TANAMAN MENGHASILKAN, SERTA PENGENDALIANNYA YANG BISA DILAKUKAN DI PERKEBU... by Muhammad Helmy Abdillah, Linda Rahmawati, Mila Lukmana, Naina Zakiah

“…XY, Batu Ampar, Kabupaten Tanah Laut, Kalimantan Selatan. Data dikumpulkan melalui observasi visual terhadap gejala penyakit yang muncul pada tanaman, kemudian dianalisis secara kualitatif dengan membandingkan hasil temuan di lapangan dengan studi literatur. …”
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