Quantitative Prediction of Low-Permeability Sandstone Grain Size Based on Conventional Logging Data by Deep Neural Network-Based BP Algorithm by Hongjun Fan, Xiaoqing Zhao, Zongjun Wang, Zheqing Zhang, Ao Chang

“…In this paper, the sensitivity logging parameters of median rock grain size are optimized for low permeability sandstone reservoirs using principal component analysis obtained the grain size direction correlation curves (DEN, CNL,GR, and RD) in the study area, and the corresponding loss and activation functions are selected based on the learning characteristics of the nonlinear mapping of the logging data and the BP neural network to ensure that overfitting occurs. …”
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Handling missing continuous outcome data in a Bayesian network meta-analysis by Danila Azzolina, Ileana Baldi, Clara Minto, Daniele Bottigliengo, Giulia Lorenzoni, Dario Gregori

“…Conclusions: This NMA method seems to be more robust to missing data imputation when data reported in different studies are generated in a low-heterogeneity scenario. …”
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Specialised palliative care in nursing homes - Retrospective analysis on the basis of claims data. by Laura Rehner, Kilson Moon, Wolfgang Hoffmann, Neeltje van den Berg

“…<h4>Methods</h4>The analysis was based on data of the association of statutory health insurance physicians Mecklenburg-Western Pomerania (Germany), data of the statutory health insurance BARMER, and population data. …”
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Pulmonary embolism and atrial fibrillation: analysis of data from the SIRENA Russian registry by E. Kh. Alieva, L. I. Syromyatnikova, A. D. Erlikh, V. S. Sheludko

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Donor funding for newborn survival: an analysis of donor-reported data, 2002-2010. by Catherine Pitt, Joy E Lawn, Meghna Ranganathan, Anne Mills, Kara Hanson

“…Donor funding has increased for maternal, newborn, and child health (MNCH), but no analysis to date has disaggregated aid for newborns. …”
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Multifractal Analysis of Geological Data Using a Moving Window Dynamical Approach by Gil Silva, Fernando Pellon de Miranda, Mateus Michelon, Ana Ovídio, Felipe Venturelli, Letícia Moraes, João Ferreira, João Parêdes, Alexandre Cury, Flávio Barbosa

“…Fractal dimension has proven to be a valuable tool in the analysis of geological data. For instance, it can be used for assessing the distribution and connectivity of fractures in rocks, which is important for evaluating hydrocarbon storage potential. …”
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Analysis of Drill String Whirling Characteristics Based on Near-Bit Measurement Data by Zhang Tao, Yang Zhenpeng, Li Jun, Wang Miaorui, Wang Mengfan, Guo Zixian

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Analysis of data on levels of public exposure to natural sources of radiation in the Ivanovo region by T. A. Kormanovskaya, O. A. Daricheva, P. A. Kolesnik, D. V. Kononenko

“…Despite the  significant  amount  of  measurement  data  in  the  Regional  databank,  it  is  necessary  to  obtain  additional information on the indoor radon levels in existing wooden and other low-rise dwellings and public buildings in the most radon-prone areas of the region. …”
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Analysis of Electroacupuncture Parameters for Irritable Bowel Syndrome: A Data Mining Approach by Tang Y, Tang X, Wen Q

“…Therefore, the clinical application of these therapeutic modalities requires further validation.Keywords: data mining, electroacupuncture stimulation parameters, acupoint selection rules, association rule analysis…”
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Monitoring the appropriate prescription of low molecular weight heparins and Fondaparinux through administrative data. A retrospective observational study in the Tuscany region. by Giaele Moretti, Bruna Vinci, Simona Zito, Alessia Caputo, Francesco Attanasio, Milena Vainieri

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Analysis of Progress in Data Mining of Scientific Literature Using Large Language Models by CAI Yiran, HU Zhengyin, LIU Chunjiang

“…In terms of tools, cross-modal parsing tools and interactive analysis platforms have been developed to facilitate end-to-end data mining and knowledge generation. …”
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AI-Based Data Analysis of Contaminant Transportation with Regression of Oxygen and Nutrients Measurement by Hasib Khan, Jehad Alzabut, Mohamed Tounsi, Dalal Khalid Almutairi

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Mapping Pressure Surge Source in Urban Water Networks: Integrating Low‐ and High‐Frequency Pressure Data With an Illustrative Real Case Study by S. Meniconi, A. Rubin, L. Tirello, A. Doro, B. Brunone, C. Capponi

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A study on the impact of digital infrastructure development on the health of low-income rural residents: based on panel data from 2010 to 2022 by Qian Wang, Zhen Ning, Meichun Tan

“…Based on the CFPS data from 2010 to 2020 and the list of “Broadband China” demonstration cities, this paper employs a multi-period Difference-in-Differences (DID) approach to empirically analyze the impact of digital infrastructure construction on the health of low-income rural residents and its mechanism. …”
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Predicting low birth weight risks in pregnant women in Brazil using machine learning algorithms: data from the Araraquara cohort study by Audêncio Victor, Francielly Almeida, Sancho Pedro Xavier, Patrícia H.C. Rondó

“…Abstract Background Low birth weight (LBW) is a critical factor linked to neonatal morbidity and mortality. …”
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Low-Power Vibrothermography for Detecting Barely Visible Impact Damage in CFRP Laminates: A Comparative Imaging Study by Zulham Hidayat, Muhammet Ebubekir Torbali, Nicolas P. Avdelidis, Henrique Fernandes

“…Composite specimens with varying impact energies (2.5–20 J) were excited using a single piezoelectric transducer with a nominal centre frequency of 28 kHz, operated at a fixed excitation frequency of 28 kHz. Thermal data were captured using an infrared camera. To enhance defect visibility and suppress background noise, the raw thermal sequences were processed using principal component analysis (PCA) and robust principal component analysis (RPCA). …”
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A Cost Effectiveness Analysis of Spinal Cord Stimulation versus Conventional Medical Management for the Treatment of Low Back Pain Using Data from DISTINCT RCT and Medical Claims from a U.S.... by Deer T, Heros R, Scarfo K, Gilligan C, Jameson J, Pilitsis JG, Desai MJ, Panchalingam T, Goates S, Benison AM, Okaro U, Falowski S

“…Including device costs, cost-effectiveness could be achieved within 2.7 years based on DISTINCT data. The real-world CMM arm used more high-priced interventional therapies, suggesting a pre-crossover bias in the CMM cohort.Conclusion: This analysis supports the long-term benefits and cost-effectiveness of SCS in managing chronic LBP compared to CMM.Keywords: non-surgical back pain, low back pain, spinal cord stimulation, cost effectiveness, cost savings, BurstDR&amp;#x2122…”
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A comprehensive dataset and neural network approach for named entity recognition in the Uzbek languageMendeley Data by Davlatyor Mengliev, Vladimir Barakhnin, Mukhriddin Eshkulov, Bahodir Ibragimov, Shohrux Madirimov

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Assessing the impact of China's National Big Data Comprehensive Pilot Zone policy on agricultural carbon emissions by Yuqian Zhang, Yixuan Wang, Chenchen Su, Jiahong Guo, Chen Xu

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Insights into gender-equity in healthcare accessibility in northern Nigeria: descriptive and predictive approaches by Chika Yinka-Banjo, Olasupo Ajayi, Mary Akinyemi, David Tresner-Kirsch, Adekemi Omotubora

“…Descriptive analysis (using Pearson’s and Spearman’s correlation) and predictive analysis (using CATBoost, Random Forest, and Support Vector Machine) were done on the data. …”
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