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  1. 1901

    Optical Neuroimage Studio (OptiNiSt): Intuitive, scalable, extendable framework for optical neuroimage data analysis. by Yukako Yamane, Yuzhe Li, Keita Matsumoto, Ryota Kanai, Miles Desforges, Carlos Enrique Gutierrez, Kenji Doya

    Published 2025-05-01
    “…To address these challenges, we developed Optical Neuroimage Studio (OptiNiSt), a scalable, extendable, and reproducible framework for creating calcium data analysis pipelines. …”
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    Article
  2. 1902

    MONet: cancer driver gene identification algorithm based on integrated analysis of multi-omics data and network models by Yingzan Ren, Tiantian Zhang, Jian Liu, Fubin Ma, Jiaxin Chen, Ponian Li, Guodong Xiao, Chuanqi Sun, Yusen Zhang

    Published 2025-02-01
    “…Based on integrated analysis of Multi-Omics data and Network models, we present MONet, a novel cancer driver gene identification algorithm. …”
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    Article
  3. 1903

    A tripartite evolutionary game analysis of stakeholder decision-making behavior in the internet of vehicles data supply chain by Ruihan Wu, Jian Yang

    Published 2025-03-01
    “…The Internet of Vehicles, as a new generation of information infrastructure that integrates multiple industries such as automotive, information communication, and transportation, is currently in a rapid development stage. However, its data supply chain involves numerous stakeholders and faces severe challenges in terms of data sharing, security, and regulation. …”
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  4. 1904

    Patient pathways of tuberculosis care-seeking and treatment: an individual-level analysis of National Health Insurance data in Taiwan by Simon Dixon, Chien-Chou Chen, Chu-Chang Ku, Hsien Ho Lin, Peter J Dodd

    Published 2020-06-01
    “…Introduction Patients with tuberculosis (TB) often experience difficulties in accessing diagnosis and treatment. Patient pathway analysis identifies mismatches between TB patient care-seeking patterns and service coverage, but to date, studies have only employed cross-sectional aggregate data.Methods We developed an algorithmic approach to analyse and interpret patient-level routine data on healthcare use and to construct patients’ pathways from initial care-seeking to treatment outcome. …”
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    Article
  5. 1905
  6. 1906
  7. 1907

    Characterizing Extreme Geomagnetic Storms Using Extreme Value Analysis: A Discussion on the Representativeness of Short Data Sets by G. Bernoux, V. Maget

    Published 2020-06-01
    “…To do so, dedicated statistical methods from the so‐called extreme value analysis (EVA) field have been developed. In this study we used Ca index, derived from aa, in order to characterize geoeffectiveness from the radiation belts point of view with a 150‐year‐long data set. …”
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    Article
  8. 1908

    Data-Driven Analysis: Examining the Impact of COVID-19 from the Perspective of Residential and Non-Residential Electricity Consumption by Zhiheng Yang, Xiu Cao, Qifan Zhang

    Published 2024-12-01
    “…We verify the significant negative impact of the pandemic on the real estate sector by the analysis of electricity consumption across different sectors. …”
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    Article
  9. 1909

    Passive smoking and chronic obstructive pulmonary disease: cross-sectional analysis of data from the Health Survey for England by Peymane Adab, Rachel E Jordan, Kar Keung Cheng, Martin R Miller

    Published 2011-11-01
    “…In this cross-sectional analysis of data from 3 years of the Health Survey for England, the association between passive smoking exposure and risk of COPD is evaluated.Design Cross-sectional analysis of the 1995, 1996 and 2001 Health Surveys for England including participants of white ethnicity, aged 40+ years with valid lung function data. …”
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    Article
  10. 1910

    A refined set of RxNorm drug names for enhancing unstructured data analysis in drug safety surveillance by Wenjing Guo, Fan Dong, Jie Liu, Aasma Aslam, Tucker A. Patterson, Huixiao Hong

    Published 2025-05-01
    “…To address this, we evaluated the drug names in RxNorm for their suitability in unstructured data analysis and developed a refined set of drug names. …”
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    Article
  11. 1911
  12. 1912

    Household status and socio-economic determinants of divorce among married women in Nigeria: a pooled data analysis by Dorothy N. Ononokpono, Nebechukwu H. Ugwu, Clifford O. Odimegwu

    Published 2025-12-01
    “…Divorce cases among married women have increased substantially, particularly in developed countries. Despite the perceived benefits of being married, divorce among married women continues to rise in Nigeria. …”
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    Article
  13. 1913

    Calculation and Analysis of Specific Losses of Active Power in Overhead Power Lines due to Corona in View of Climatic Data by D. A. Sekatski, N. A. Papkova

    Published 2024-02-01
    “…The determination of metrological parameters was based on the analysis of weather data and patterns of types of weather conditions. …”
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    Article
  14. 1914

    Automated Analysis of Thoracic Aortic Aneurysms Based on Chest Computed Tomography Data: a Population Study in Moscow by A. V. Solovev, Yu. A. Vasilev, V. E. Sinitsyn, A. V. Vladzymyrskyy, D. S. Semenov

    Published 2024-10-01
    “…For this reason, conducting new epidemiological studies on this problem in our country is relevant.Objective: to study the prevalence of pathological dilatation of the thoracic aorta in Moscow by means of artificial intelligence technologies (AITs) using chest computed tomography (CT) data.Material and methods. A retrospective analysis of chest CT data from 227,149 patients obtained in the period from October 2022 to October 2023 was performed using AITs.Results. …”
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    Article
  15. 1915

    Post-market Surveillance Analysis of Refractive Data in Users of Delivery Tyro®, a Tyrosine-Releasing Contact Lens by Diego Ponzin, Adriano Fasolo, Giancarlo Montani, Daniele Bazzocchi

    Published 2025-07-01
    “…The purpose of the analysis was to compare the observed myopia progression in Delivery Tyro® users with expected rates based on control SE refraction data derived from meta-analyses of similar age and ethnic cohorts. …”
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    Article
  16. 1916

    Clusters and associations of adverse neonatal events with adult risk of multimorbidity: A secondary analysis of birth cohort data. by Jeeva John, Seb Stannard, Simon D S Fraser, Ann Berrington, Nisreen A Alwan

    Published 2025-01-01
    “…<h4>Design</h4>Secondary analysis of birth cohort data.<h4>Setting</h4>Prospective birth cohort study of individuals born in Britain in one week of 1970.…”
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    Article
  17. 1917

    Prevalence of anxiety disorder and its association with BMI: an analysis of women’s experiences in Bangladesh using BDHS-2022 data by Farhana Afrin Duty, Md. Habibur Rahman, Nahid Salma

    Published 2025-03-01
    “…The purpose of this study was to investigate the association between BMI and anxiety disorder. Methods BDHS 2022 data were used. Binary logistic regression, restricted cubic spline analysis (RCS), and subgroup analyzes were performed to explore the relationship between BMI and anxiety disorder. …”
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    Article
  18. 1918
  19. 1919

    The Impact of WHO-2023 Malnutrition Criteria on Caseload of Infants Aged Under Six Months: Secondary Data Analysis by Ayenew Negesse, Tsinuel Girma, Beruk Berhanu Desalegn, Melkamu Berhane, Marko Kerac

    Published 2025-01-01
    “…Methods: We conducted a secondary analysis of data from 1048 Ethiopian infants u6m using STATA software version 17. …”
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  20. 1920

    Benchmarking Analysis of Railway Infrastructure Managers: A Hybrid Principal Component Analysis (PCA), Grey Best–Worst Method (G-BWM), and Assurance Region Data Envelopment Analysi... by Snežana Tadić, Aida Kalem, Mladen Krstić, Nermin Čabrić, Adisa Medić, Miloš Veljović

    Published 2025-03-01
    “…To address these challenges, this study proposes a hybrid benchmarking model that integrates Principal Component Analysis (PCA) to identify key performance indicators (KPIs) and reduce data dimensionality, the Grey Best–Worst Method (G-BWM) to determine KPI weight coefficients based on expert evaluations, and Assurance Region Data Envelopment Analysis (AR-DEA) to assess the relative efficiency of RIMs while incorporating real-world constraints. …”
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    Article