Power Signal Histograms—A Method of Power Grid Data Compression on the Edge for Real-Time Incipient Fault Forensics by Joshua H. Tyler, Donald R. Reising, Thomas Cooke, Anthony Murphy

“…The power grid is continuously monitored, and incipient faults are recorded by Digital Fault Recorders (DFRs) to mitigate such outcomes. DFR-recorded data allow for power quality forensics and event analysis, but this ability comes at the cost of high data storage and data transmission requirements. …”
Get full text

Unveiling the power of data in bidirectional charging: A qualitative stakeholder approach exploring the potential and challenges of V2G by Jan Lukas Demuth, Johannes Buberger, Annsophie Huber, Emma Behrens, Manuel Kuder, Thomas Weyh

“…These include Consumers, V2G Systems, Power Markets, and V2G Communication operators. A major emphasis is on the importance of data in a bidirectional charging environment. …”
Get full text

Monitoring Water Level Fluctuations of Reservoirs in the Krishna River Basin Using Sentinel-3 and ICESat-2 Altimetry Data by Ahalya Nalluri, H. Ramesh, Pankaj Ramji Dhote

“…A two-way retrieval method for Sentinel analysis, including individual wet tropospheric correction and back-substitution, determines water levels. …”
Get full text

Effect of Air Duct Layout on the Airflow in Data Center Using Under-floor Air Distribution (2) Experimental Verification by 胡雨, 耿云, 张忠斌, 张萌, 姚喻晨, 黄虎, 黄毅, 蒋赟昱

“…This paper is the second part of an investigation aiming to find a more satisfying airflow pattern in a data center and to help provide servers with a safer and more reliable operating environment. …”
Get full text

A Video SAR Multi-Target Tracking Algorithm Based on Re-Identification Features and Multi-Stage Data Association by Anxi Yu, Boxu Wei, Wenhao Tong, Zhihua He, Zhen Dong

“…Video Synthetic Aperture Radar (ViSAR) operates by continuously monitoring regions of interest to produce sequences of SAR imagery. …”
Get full text

MODELLESS PROCESSING OF DIODE MICROCURRENT DATA SPECIFIED AS TRENDLESS SEQUENCES (Selection of diodes according to the criterion of compliance with the reference group) by Ravil R. Nigmatullin, Raphael K. Sagdiev, Mikhail V. Tkachuk

Get full text

Comparisons of plasma aldosterone and renin data between an automated chemiluminescent immunoanalyzer and conventional radioimmunoassays in the screening and diagnosis of primary a... by Naohisa Tamura, Erika Watanabe, Rumi Shirakawa, Eiji Nakatani, Kanako Yamada, Hiroshi Hatakeyama, Mizuki Torii-Hanakita, Chika Kyo, Rieko Kosugi, Tatsuo Ogawa, Masato Kotani, Takeshi Usui, Tatsuhide Inoue

“…The optimal cutoff of Accuraseed® immunoanalyzer-based ARR for PA screening was determined by the receiver operating characteristic analysis. After log-log transformations, linear relations with high coefficients of determination were observed between Accuraseed® immunoanalyzer-based and RIA-based data of renin and aldosterone. …”
Get full text

A Web Portal for the Management, Visualization, and Quality Control of Mobile LiDAR/Image Data along Transportation Corridors by S.-Y. Shin, M. Hodaei, A. Eissa, Y. Hany, J. Liu, S. Hyung, S. Park, R. Manish, A. Habib

“…Efficient management of transportation corridors depends on the availability and effective analysis of high-quality geospatial data. Recent advancements have focused on Mobile Mapping Systems (MMS), which integrate Global Navigation Satellite System/Inertial Navigation System (GNSS/INS), Red-Green-Blue (RGB) cameras, and LiDAR units. …”
Get full text

Machine Learning-Powered Smart Healthcare Systems in the Era of Big Data: Applications, Diagnostic Insights, Challenges, and Ethical Implications by Sita Rani, Raman Kumar, B. S. Panda, Rajender Kumar, Nafaa Farhan Muften, Mayada Ahmed Abass, Jasmina Lozanović

“…The review focuses on the role of big data analysis and ML towards better diagnosis, improved efficiency of operations, and individualized care for patients. …”
Get full text

Prognosing post-treatment outcomes of head and neck cancer using structured data and machine learning: A systematic review. by Mohammad Moharrami, Parnia Azimian Zavareh, Erin Watson, Sonica Singhal, Alistair E W Johnson, Ali Hosni, Carlos Quinonez, Michael Glogauer

“…In binary classification analysis, the area under the receiver operating characteristics (AUROC) of ML models ranged from 0.75-0.97, with an F1-score of 0.65-0.89 for HNC; AUROC of 0.61-0.91 and F1-score of 0.58-0.86 for the oral cavity; and AUROC of 0.76-0.97 and F1-score of 0.63-0.92 for the larynx. …”
Get full text

Assessing the effects of therapeutic combinations on SARS-CoV-2 infected patient outcomes: A big data approach. by Hamidreza Moradi, H Timothy Bunnell, Bradley S Price, Maryam Khodaverdi, Michael T Vest, James Z Porterfield, Alfred J Anzalone, Susan L Santangelo, Wesley Kimble, Jeremy Harper, William B Hillegass, Sally L Hodder, National COVID Cohort Collaborative (N3C) Consortium

“…<h4>Methods</h4>Gradient Boosted Decision Tree, Deep and Convolutional Neural Network classifiers were implemented and trained on the National COVID Cohort Collaborative (N3C) data repository to predict the patients' outcome of death or discharge. …”
Get full text

Deriving Early Citrus Fruit Yield Estimation by Combining Multiple Growing Period Data and Improved YOLOv8 Modeling by Menglin Zhai, Juanli Jing, Shiqing Dou, Jiancheng Du, Rongbin Wang, Jichi Yan, Yaqin Song, Zhengmin Mei

“…Combining multi-growth period data for crop analysis is of great significance for crop growth detection and early yield estimation. …”
Get full text

Associations between anthropometric indices and biological age acceleration in American adults: insights from NHANES 2009–2018 data by Xinyun Chen, Xia Chen, Fangyu Shi, Wenhui Yu, Chang Gao, Shenju Gou, Ping Fu

“…Restricted Cubic Spline (RCS) regression explored non-linear associations. Receiver Operating Characteristic (ROC) curve analysis assessed the predictive capabilities of the anthropometric indices. …”
Get full text

Using fishery-related data, scientific expertise, and machine learning to improve marine habitat mapping in northeastern Mediterranean waters by Loukas Katikas, Sofia Reizopoulou, Paraskevi Drakopoulou, Vassiliki Vassilopoulou

“…In this study, sea bottom type data recorded during national monitoring of commercial fishing vessel operations and fishery surveys in the Greek Seas were used. …”
Get full text

The Construction and Application of a Clinical Decision Support System for Cardiovascular Diseases: Multimodal Data-Driven Development and Validation Study by Shumei Miao, Pei Ji, Yongqian Zhu, Haoyu Meng, Mang Jing, Rongrong Sheng, Xiaoliang Zhang, Hailong Ding, Jianjun Guo, Wen Gao, Guanyu Yang, Yun Liu

“…The CDSS refers to global CVD assessment indicators to design quality control strategies and an intelligent treatment plan recommendation engine map, establishing a big data analysis platform to achieve multidimensional, visualized data statistics for management decision support. …”
Get full text

Nurse-Patient Communication: An Examination of Student-Nurses of Post Basic Nursing Anesthesia (PBNA) and Peri-Operative Nursing (PON) of Jos University Teaching Hospital (JUTH), P... by Patricia Nathan Bwai, Innocent Nasuk Dajang

“…A total of 35 student-nurses were randomly selected from the Post Basic Nursing Anesthesia (PBNA) and Peri-Operative Nursing (PON) program at JUTH. The study adopted a mixed-methods research design, combining both qualitative and quantitative data collection and analysis methods. …”
Get full text

Evaluation of the Efficacy of a Nomogram to Predict Multidrug-Resistant Pulmonary Infections Based on Data from Neurosurgery Ward Patients by Zhou R, Chen X, Jia H, Duan W

“…Using the validation group, discrimination, calibration, and clinical applicability were assessed based on the receiver operating characteristic curve, calibration curve, and decision curve analysis (DCA).Results: Among 3397 patients admitted to the neurosurgery ward from January 1, 2021, to September 30, 2024, 438 patients had pulmonary infections, including 208 patients with MDR pneumonia and 230 patients with non-MDR pneumonia. …”
Get full text

Machine learning prediction of anxiety symptoms in social anxiety disorder: utilizing multimodal data from virtual reality sessions by Jin-Hyun Park, Yu-Bin Shin, Dooyoung Jung, Ji-Won Hur, Seung Pil Pack, Heon-Jeong Lee, Hwamin Lee, Chul-Hyun Cho, Chul-Hyun Cho

“…For generalized anxiety, the LightGBM’s prediction for the State-Trait Anxiety Inventory-trait led to an AUROC of 0.819. In the same analysis, models using only physiological features had AUROCs of 0.626, 0.744, and 0.671, whereas models using only acoustic features had AUROCs of 0.788, 0.823, and 0.754.ConclusionsThis study showed that a ML algorithm using integrated multimodal data can predict upper tertile anxiety symptoms in patients with SAD with higher performance than acoustic or physiological data obtained during a VR session. …”
Get full text

Data-driven insights into pre-slaughter mortality: Machine learning for predicting high dead on arrival in meat-type ducks by Chalita Jainonthee, Phutsadee Sanwisate, Panneepa Sivapirunthep, Chanporn Chaosap, Raktham Mektrirat, Sudarat Chadsuthi, Veerasak Punyapornwithaya

“…Additionally, several data-sampling techniques, including oversampling, undersampling, Random Over-Sampling Examples (ROSE), and Synthetic Minority Over-sampling Technique (SMOTE), were utilized to address the issue of imbalanced data. …”
Get full text

Association between forced expiratory volume in 1 s and relapse-free survival in operable non-small cell lung cancer: a prospective cohort study with propensity score overlap weigh... by Jing Cheng, Yang Du, Karl Sylvester, Shaoping Wu, Suixin Liu, Yaoshan Dun, Baiyang You, Siqian Fu, Ning Xu, Jeffrey William Ripley-Gonzalez, Ni Cui

Get full text