Sealing and zero leakage characteristics of a high-pressure large-sized main drive based on active pressure compensation by Lifang ZHENG, Chao FANG, Fei MA, Tengfei CAI, Man YAO

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Machine learning detection of Gaussian steering in continuous-variable systems under data imbalance by Jie Guo, Taotao Yan, Jinchuan Hou, Xiaofei Qi, Kan He

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Testing life-cycle assessment data quality with Benford’s law reveals geographic variation by Bogdan Šinik, Aleksandar Tošić

“…In this study, we perform Benford’s law conformity tests (first digit) on all numerical data in ecoinvent, focusing on individual compartments (air, water, soil, and natural resources) and environmental elementary flows (carbon, toxic substances, greenhouse gases, and heavy metals), and discrepancies across continents are examined.Life Cycle Inventory data met the requirements of Benford’s law and generally exhibited high conformity. …”
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Within-host bayesian joint modeling of longitudinal and time-to-event data of Leishmania infection. by Felix M Pabon-Rodriguez, Grant D Brown, Breanna M Scorza, Christine A Petersen

“…The host immune system plays a significant role in managing and clearing pathogen material during an infection, but this complex process presents numerous challenges from a modeling perspective. There are many mathematical and statistical models for these kinds of processes that take into account a wide range of events that happen within the host. …”
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A Hybrid Large Language Model for Context-Aware Document Ranking in Telecommunication Data by Abhay Bindle, Preeti Singla, Sachin Sharma, Abdukodir Khakimov, Reem Ibrahim Alkanhel, Ammar Muthanna

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Trends in prescription opioid use in Europe: A DARWIN EU® multinational cohort study including seven European countries by Junqing Xie, Mike Du, Yuchen Guo, Cesar Barboza, James T. Brash, Antonella Delmestri, Talita Duarte-Salles, Talita Duarte-Salles, Jasmine Gratton, Romain Griffier, Raivo Kolde, Wai Yi Man, Núria Mercadé-Besora, Marek Oja, Sarah Seager, Katia Verhamme, Dina Vojinovic, Edward Burn, Daniel Prieto-Alhambra, Daniel Prieto-Alhambra, Martí Català, Annika M. Jödicke

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Numerical investigation for optimizing thermal performance of Al2O3-TiO2/water hybrid nanofluid: An artificial neural network approach based on Levenberg–Marquardt algorithm by Khalid Arif, Syed Tauseef Saeed, Talha Anwar, Shajar Abbas, Muhammad Nauman Aslam

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A Lightweight Transformer-Based Spatiotemporal Analysis Prediction Algorithm for High-Dimensional Meteorological Data by Yinghao Tan, Junfeng Wu, Yihang Liu, Shiyu Shen, Xia Xu, Bin Pan

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Optimum Block Size in Separate Block Bootstrap to Estimate the Variance of Sample Mean for Lattice Data by M. Mohammadzadeh

“…The statistical analysis of spatial data is usually done under Gaussian assumption for the underlying random field model. …”
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Pain when it “counts”: hurdle analysis of clinical pain ratings improves data model performance by Beth B. Hogans, Bernadette C. Siaton, John D. Sorkin

“…Abstract. Objectives:. The Numerical Rating Scale is widely used for patient-reported appraisals of pain intensity; however, scale properties have limited utility for assessing chronic pain. …”
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A visitor-enriched census in the U.S. cities using large-scale mobile positioning data by Meicheng Xiong, Di Zhu, David Van Riper

“…While numerous efforts have been made to develop more comprehensive data products based on census datasets, most approaches treat census units as static and independent entities, overlooking their interactions. …”
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Clinical characteristics of patients with chronic post-traumatic pain: data from a prospective study by A. A. Bialik, A. E. Karateev, M. A. Makarov, V. А. Nesterenko, V. E. Bialik, E. I. Bialik

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Novel metrics and LSH algorithms for unsupervised, real-time anomaly detection in multi-aspect data streams by Samira Khodabandehlou, Alireza Hashemi Golpayegani

“…This approach proposes two novel Locality-Sensitive Hashing (LSH) functions: Gaussian projections to preserve numerical distances and collision-resistant linear hashing to prevent the increase in dimensionality of the categorical data. …”
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Categorization of 34 computational methods to detect spatially variable genes from spatially resolved transcriptomics data by Guanao Yan, Shuo Harper Hua, Jingyi Jessica Li

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Analysing the effectiveness of unsignalized crossing infrastructure in improving pedestrian safety using multiple data-driven approaches by Shengqi Liu, Harry Evdorides

“…This study investigates the effectiveness of unsignalized crossings to enhance pedestrian safety through a robust data-driven approach utilizing multiple machine learning models, including the statistical classifier Logistic Regression, Decision Tree, Random Forest, and Neural Network Multi-Layer Perceptron (MLP). …”
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In-situ baseline calibration approach for enhanced data quality of large-scale air sensor monitoring networks by Han Mei, Peng Wei, Ya Wang, Meisam Ahmadi Ghadikolaei, Nirmal Kumar Gali, Zhi Ning

“…This approach is grounded in the physical characteristics of electrochemical sensors and is informed by statistical analyses of calibration coefficients across a large group of similar sensors. …”
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Data-driven Radiative Hydrodynamics Simulations of the Solar Photosphere Using Physics-informed Neural Networks: Proof of Concept by Christoph U. Keller

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A parallel kinship universe? A replication of Kolk et al. (2023) with Dutch register data on kinship networks by Vera de Bel, Eszter Bokányi, Karsten Hank, Thomas Leopold

“…BACKGROUND: Kolk et al. (2023) use Swedish register data to provide a detailed numerical account of biological kinship. …”
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Objective and Intelligent Acquisition of Two Types of Decision Data Based on Online Comment Information and Its Application in Emergency Decision-Making by Ruipu Tan, Lehua Yang, Jing Li

“…Second, based on the optimized SnowNLP, emotional tendencies and statistical analyses were performed on the processed comment data, resulting in two quantitative decision matrices, which were represented as single-valued neutrosophic numbers (SVNNs) and probabilistic linguistic terms (PLTs). …”
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Robust Hybrid Data-Level Approach for Handling Skewed Fat-Tailed Distributed Datasets and Diverse Features in Financial Credit Risk by Musara Keith R, Ranganai Edmore, Chimedza Charles, Matarise Florence, Munyira Sheunesu

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