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  1. 161

    Multiple PM Low-Cost Sensors, Multiple Seasons’ Data, and Multiple Calibration Models by S Srishti, Pratyush Agrawal, Padmavati Kulkarni, Hrishikesh Chandra Gautam, Meenakshi Kushwaha, V. Sreekanth

    Published 2023-02-01
    “…Model performance metrics included (i) coefficient of determination (R2), (ii) root mean square error (RMSE), (iii) normalised RMSE, and (iv) mean absolute error. We found that the bias in the LCS PM2.5 measurements varied across different LCS types (RMSE = 8–29 µg m−3) and that SVR models performed best in correcting the LCS PM2.5 measurements. …”
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  2. 162

    MONITORING AND ANALYSIS OF STUDENTS' PERFORMANCE DURING SOFTWARE DEVELOPMENT by Oleksandr Sharyhin, Vasyl Fedorets, Oksana Klochko

    Published 2024-06-01
    “…The following methods, models, and approaches were used to solve the task of improving monitoring and analyzing the progress of students in the process of participating in software development projects: System and Problem Approaches, Cluster Analytical and Monitoring Models of Software Development, Expert Survey, Consistency Index, Consistency Ratio, the Fundamental Scale of Absolute Numbers by T. L. Saaty, and others. The proposed performance metrics, supported by recommendations and a dedicated application, empower project stakeholders to optimize control, quality assurance, and student development. …”
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  3. 163

    InceptionDTA: Predicting drug-target binding affinity with biological context features and inception networks by Mahmood Kalemati, Mojtaba Zamani Emani, Somayyeh Koohi

    Published 2025-02-01
    “…In addition to using CharVec, which demonstrates greater accuracy in absolute predictions, InceptionDTA also includes a version that employs simple label encoding and excels in ranking and predicting relative binding affinities. …”
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  4. 164

    Structure, Immune and Anti-aging Activities of Capsular Polysaccharide Produced by Lactobacillus plantarum W1 by Yongjiao GAO, Kun WANG, Jing ZHAO, Feng ZUO

    Published 2025-02-01
    “…In this study, CPS was extracted and prepared by enzymatic hydrolysis. The absolute molecular weight, functional groups and monosaccharide composition of CPS were analyzed by gel permeation chromatography system, Fourier transform infrared spectroscopy and high performance liquid chromatography. …”
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  5. 165

    Anti-constitutional activities and cover organisations of national-socialist movement in Klaipėda region in 1935-1937 by Mindaugas Valiukevičius

    Published 2006-06-01
    “…SVG leaders, probably instructed by Germany, divided the movement into 2 parts: 1) extremely carefully camouflaged, but absolutely legal activity in Klaipėda regional parliament, within the limits of its competence; 2) undercover - national-socialist propaganda distribution, "political education", military training and diversions.  …”
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  6. 166

    Angiotensin-Neprilysin Inhibitor Therapy: A Retrospective Chart Study by Roda Plakogiannis, Abraham Stefanidis, Nubriel Hernandez, Etty Vider

    Published 2025-02-01
    “…A significant negative correlation between patients’ age and absolute change in EF was identified (r= -0.28; p < 0.05), indicating that the increase in EF was stronger for younger patients. …”
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  7. 167

    Determining the Amount of Earthquake Displacement Using Differential Synthetic Aperture Radar Interferometry (D-InSAR) and Satellite Images of Sentinel-1 A: A Case Study of Sarpol-... by Jacob Cherian

    Published 2022-04-01
    “…Before changing phase to displacement, to improve the processing results, the refining phase and applying multiple corrections and the absolute generated phase were changed to displacement. …”
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  8. 168

    Disulfidptosis-related immune patterns predict prognosis and characterize the tumor microenvironment in oral squamous cell carcinoma by Xuechen Wu, Boxin Liu, Shi-Zhou Deng, Tengteng Xiong, Lin Dai, Bo Cheng

    Published 2025-02-01
    “…After univariate Cox regression we obtained 30 DRIGs and least absolute shrinkage and selection operator (LASSO) regression to reduce the number of genes to 16. …”
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  9. 169

    USE OF GEOINFORMATION TECHNOLOGIES IN DISTANCE LEARNING OF FUTURE SPECIALISTS IN GEOGRAPHY by Vasyl V. Leta, Mykola M. Karabiniuk, Mykhailo M. Mykyta, Mykhailo M. Kachailo

    Published 2023-06-01
    “…The article identifies the advantages and disadvantages of distance learning on the example of the disciplines “Fundamentals of Geoinformatics” and “Cartography and GIS” studied by the students of the Department of Physical Geography and Efficient Environmental Management of the Faculty of Geography at Uzhhorod National University. The absolute advantages of this studying format for teachers are the ability to freely choose the necessary materials, academic mobility and a fundamentally new educational space. …”
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  10. 170

    Health Care Costs attributable to Hospital-diagnosed Back Pain: A Longitudinal Register-based Study of the Danish Population by Rikke Søgaard, Jan Sørensen

    Published 2014-02-01
    “…The attributable health care cost was defined as the absolute difference in cost rates between individuals with versus individuals without hospital-diagnosed back pain, whereas the ratio between the two groups was used for the reporting of reference values. …”
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  11. 171

    Perbandingan Kinerja Metode Arima, Multi-Layer Perceptron, dan Random Forest dalam Peramalan Harga Logam Mulia Berjangka yang Mengandung Pencilan by Teguh Prasetyo, Rizki Alifah Putri, Dini Ramadhani, Yenni Angraini, Khairil Anwar Notodiputro

    Published 2024-08-01
    “…Berdasarkan hal tersebut dalam artikel ini dibahas tentang hasil kajian perbandingan kinerja metode ARIMA, Multi-Layer Perceptron (MLP), dan Random Forest (RF) dalam peramalan data deret waktu yang mengandung pencilan, khususnya untuk data harga logam mulia berjangka (emas, perak, dan platina) berdasarkan nilai Mean Absolute Percentage Error (MAPE). Ditunjukkan bahwa kinerja metode ARIMA dengan Interpolasi Linier mampu menekan pengaruh pencilan lebih baik dibanding ARIMA dengan Winsorized Mean dan ARIMA tanpa penanganan data pencilan Dalam hal ini diperoleh nilai MAPE rata-rata berturut-turut sebesar 10,67% dibanding 12,33% dan 11,79% ketika dievaluasi menggunakan data uji. …”
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  12. 172

    Green gram yield prediction using linear regression by Tumusiime, Robert, Mabirizi, Vicent, Mirembe, D.P, Arinanye, T.R

    Published 2025
    “…The model was evaluated for precision and evaluation result revealed that, with a mean absolute percentage error (MAPE) of 16.8%, the proposed model had a precision of 96.4% was deemed accurate in predicting green gram yield.…”
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  13. 173

    Metabolic Profiles of the Gut Microbiota in Patients with Different Stages of Metabolism Dysfunction-Associated Fatty Liver Disease by X. Cao, O. Yu. Zolnikova, R. V. Maslennikov, E. A. Poluektova, E. L. Bueverova, M. S. Reshetova, M. S. Zharkova, V. T. Ivashkin

    Published 2024-10-01
    “…We established a decrease in the absolute concentrations of SCFA — their total content, the level of acetate, propionate, butyrate, a decrease in the level of isoacids. …”
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  14. 174

    Multiphoton imaging-based quantifiable collagen signatures for predicting outcomes in patients with pancreatic ductal adenocarcinoma by Xiwen Chen, Jikui Miao, Xingxin Huang, Xiahui Han, Liqin Zheng, Jianxin Chen, Linying Chen, Lianhuang Li

    Published 2025-02-01
    “…Additionally, we also extracted 142 microscopic TACS (M-TACS) from second-harmonic generation (SHG) images and constructed a new robust biomarker, M-TACS-score, using the least absolute shrinkage and selection operator (LASSO) regression analysis. …”
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  15. 175

    Quantitative profiling of the vaginal microbiota improves resolution of the microbiota-immune axis by Eric Armstrong, Rachel Liu, James Pollock, Sanja Huibner, Suji Udayakumar, Erastus Irungu, Pauline Ngurukiri, Peter Muthoga, Wendy Adhiambo, Sergey Yegorov, Joshua Kimani, Tara Beattie, Bryan Coburn, Rupert Kaul

    Published 2025-02-01
    “…We hypothesized that the addition of absolute abundance data would provide a more complete picture of host-microbe interactions in the female genital tract. …”
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  16. 176

    Predicting the risk of cardiovascular disease in adults exposed to heavy metals: Interpretable machine learning by Meiyue Shen, Yine Zhang, Runqing Zhan, Tingwei Du, Peixuan Shen, Xiaochuan Lu, Shengnan Liu, Rongrong Guo, Xiaoli Shen

    Published 2025-01-01
    “…A total of 4600 adults were included in the analysis. The Least Absolute Shrinkage and Selection Operator regression method was employed to select relevant feature variables. …”
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    Article
  17. 177

    Epidemiology of urinary tract infections in the Middle East and North Africa, 1990–2021 by Fatemeh Amiri, Saeid Safiri, Reza Aletaha, Mark J. M. Sullman, Kamaleddin Hassanzadeh, Ali-Asghar Kolahi, Shahnam Arshi

    Published 2025-02-01
    “…Methods Data were sourced from the Global Burden of Disease 2021 study, encompassing all 21 countries in the region. Metrics such as absolute counts, age-standardised rates, and percentage changes from 1990 to 2021 are presented with 95% uncertainty intervals (UIs). …”
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  18. 178
  19. 179

    A Nomogram for Predicting Overall Survival in Primary Central Nervous System Lymphoma: A Retrospective Study by Ling Y, Miao X, Zhou X, Ma J, Lin Z, Li Q, Zhang M, Ma Y, Chen B

    Published 2025-02-01
    “…Patients were randomly allocated to the development and validation cohorts. The least absolute shrinkage and selection operator (LASSO) regression and multivariate Cox regression analysis were used to identify the risk factors for overall survival (OS) and construct a nomogram. …”
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  20. 180

    Transformer-based travel time estimation method for plateau and mountainous environments by Guangjun Qu, Kefa Zhou, Rui Wang, Dong Li, Yingpeng Lu, Zhihong Lv, Dequan Zhao, Aijun Zhang, Qing Zhang

    Published 2025-02-01
    “…When evaluated alongside the five models that are most commonly utilized in urban settings, the mean absolute percentage error (MAPE) of our model exhibited a 14.89% improvement in plateau environments and a 12.20% improvement in mountainous environments in comparison with the most effective model, namely MetaTTE-GRU. …”
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