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  1. 21621

    Modelling of the closed equilibrium system H2O–(CO2)W–CaCO3–NaH2PO4 for wastewater treatment applications by Ivar Zekker, Oleg Artemchuk, Ergo Rikmann, Kalev Uiga, Laura Daija, Faysal-Al Mamun, Andrejs E. Krauklis, Ruta Ozola-Davidane, Taavo Tenno, Toomas Tenno†

    Published 2025-01-01
    “…Utilizing the iteration method, we calculate pH, concentrations of formed ions and molecules, and proton transfer parameters based on a developed proton transfer model. …”
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  2. 21622
  3. 21623

    Beyond traditional metrics: evaluating the triglyceride-total cholesterol-body weight index (TCBI) in cardiovascular risk assessment by Mohsen Rezaee, Farzam Kamrani, Mobina Imannezhad, Hamed Hashemi Shahri, Waleed Khaled Saihood, Alireza Rezvani, Parsa Mearaji Far, Hanie Mahaki, Habibollah Esmaily, Mohsen Moohebati, Mohammad Shariati, Majid Ghayour-Mobarhan, Susan Darroudi

    Published 2025-01-01
    “…Baseline variables were measured, and TCBI, Atherogenic Index of Plasma (AIP), Atherogenic Coefficient (AC), Castelli risk index I and II (CRI-I & II) were calculated using specific formulas. Results Following a 10-year follow-up period, a significant positive relationship was observed between TCBI (HR: 1.078, 95% CI: 1.012–1.15), CRI-I (HR: 1.16, 95% CI: 1.007–1.337), and CRI-II (HR: 1.199, 95% CI: 1.001–1.437) with CVD mortality. …”
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  4. 21624

    Ketosis Onset Type 2 Diabetes Had Better Islet β-Cell Function and More Serious Insulin Resistance by Hongyun Lu, Fang Hu, Yingjuan Zeng, Lingling Zou, Shunkui Luo, Ying Sun, Hong Liu, Liao Sun

    Published 2014-01-01
    “…Area under the curve (AUC) of C-peptide was calculated. Homoeostasis model assessment was used to estimate basal β-cell function (HOMA-β) and insulin resistance (HOMA-IR). …”
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  5. 21625

    A novel histone acetylation-associated gene signature with prognostic value in Ewing sarcoma by Anshun Wu, Fayin Liu, Lei Zhou, Runyi Jiang, Shangjiang Yu, Zihuan Zhou, Qi Zhang, Qian Zhang, Dongjie Jiang, Shaohui He, Haifeng Wei

    Published 2024-12-01
    “…Then, four HARGs (TAF4, ATF2, HDAC2 and OGA) composed a formula to calculate risk score for each patient in the training cohort. …”
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  6. 21626

    Classification of benign and malignant solid breast lesions on the ultrasound images based on the textural features: the importance of the perifocal lesion area by А.А. Kolchev, D.V. Pasynkov, I.A. Egoshin, I.V. Kliouchkin, О.О. Pasynkova

    Published 2024-02-01
    “…Subsequently, eight gray-level co-occurrence matrices (GLCM) were constructed for each lesion, and 13 Haralick textural features were calculated for each GLCM. Additionally, we computed the differences in feature values at different spatial shifts and the differences in feature values between the inner and outer areas of the lesion. …”
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  7. 21627

    An Integrated Time-Series Relative Soil Moisture Monitoring Method Based on a SAR Backscattering Model by Xin Bao, Rui Zhang, Xu He, Age Shama, Gaofei Yin, Jie Chen, Hongsheng Zhang, Guoxiang Liu

    Published 2025-01-01
    “…Ultimately, the dry and wet reference values of soil backscatter are calculated to retrieve the relative RSSM time series. …”
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  8. 21628
  9. 21629

    Cardiovascular Reactivity to Mental Stress and Adverse Cardiovascular Outcomes in Patients With Coronary Artery Disease by Kasra Moazzami, Samaah Sullivan, Maggie Wang, Alexis K. Okoh, Zakaria Almuwaqqat, Brad Pearce, Amit J. Shah, Yan V. Sun, Yi‐An Ko, Paolo Raggi, J. Douglas Bremner, Viola Vaccarino, Arshed A. Quyyumi

    Published 2025-02-01
    “…A cardiovascular reactivity risk score was calculated by allotting 0 to 3 points for each quartile of increasing abnormality for each of the 3 reactivity responses and summing the quartile points from the MIPS (Mental Stress Ischemia Prognosis Study) to yield a cardiovascular reactivity risk score ranging from 0 to 9. …”
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  10. 21630

    Macroproperties vs. microstates in the classical simulation of critical phenomena in quench dynamics of 1D Ising models by Anupam Mitra, Tameem Albash, Philip Daniel Blocher, Jun Takahashi, Akimasa Miyake, Grant Biedermann, Ivan H Deutsch

    Published 2025-01-01
    “…Our results provide illustrations of scenarios where accurate calculation of the full many-body state (microstate) is intractable due to the volume-law growth of entanglement, yet a precise specification of an exact microstate may not be required when simulating macroproperties that play a role in phases of matter of many-body systems. …”
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  11. 21631

    Assimilation efficiencies and elimination rates of silver, cadmium and zinc accumulated by trophic pathway in Gammarus fossarum by Gestin, Ophélia, Lopes, Christelle, Delorme, Nicolas, Garnero, Laura, Geffard, Olivier, Lacoue-Labarthe, Thomas

    Published 2024-05-01
    “…Our results indicate that: i) Cd has the highest assimilation efficiency (39% for leaves and 19% for larvae), followed by Zn (15% for leaves and 9% for larvae) and Ag (5% for leaves); ii) for Cd and Zn, the AE were higher when gammarids were fed with leaves than with larvae; iii) the elimination rates of metals seem to depend more on the food matrix than on the metal assimilated; and thus iv) the biological half-life calculated from the kes is 5.1 days for Ag, between 4.9 and 13 days for Cd and between 3.8 and 13 days for Zn.…”
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  12. 21632

    Dietary quality and adherence to dietary recommendations in Chinese patients with chronic kidney disease by Wenwei Ouyang, Wenwei Ouyang, Bingjie Xiao, Huifen Chen, Lizhe Fu, Fang Tang, Gaetano Marrone, Xusheng Liu, Yifan Wu, Yifan Wu, Juan Jesús Carrero

    Published 2025-02-01
    “…We compared their food intake with Chinese recommendations for CKD patients, assessed dietary quality through the Chinese Healthy Eating Index (CHEI), and calculated the contribution to energy intake by processed foods according to the NOVA classification.ResultsAverage energy intake was 30 ± 9 Kcal/kg/d, and 65% consumed less energy than recommended. …”
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  13. 21633

    Comparative Economic Analysis Between Bioenergy and Forage Types of Switchgrass for Sustainable Biofuel Feedstock Production: A Data Envelopment Analysis and Cost–Benefit Analysis... by Muhammad Umer Arshad, David Archer, Daniel Wasonga, Nictor Namoi, Arvid Boe, Rob Mitchell, Emily Heaton, Madhu Khanna, DoKyoung Lee

    Published 2025-02-01
    “…Data Envelopment Analysis (DEA) was used to evaluate the efficiency of 23 Decision‐Making Units (DMUs)—cultivar types and N fertilization rate combinations—while a cost–benefit analysis calculated their profitability over 5 years. Results showed that two energy‐type cultivars—“Independence” and “Liberty”—were superior economically to the forage cultivars. …”
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  14. 21634

    Prognostic value of systemic immune-inflammation index in patients with small-cell lung cancer treated with immune checkpoint inhibitors by Yusuke Hamakawa, Ayumi Hirahara, Akiko Hayashi, Kota Ito, Hiroyuki Shinohara, Aya Shiba, Yuko Higashi, Masaharu Aga, Kazuhito Miyazaki, Yuri Taniguchi, Yuki Misumi, Yoko Agemi, Yukiko Nakamura, Tsuneo Shimokawa, Hiroaki Okamoto

    Published 2025-01-01
    “…Methods Of 62 patients with SCLC who received chemoimmunotherapy at our institution between September 2019 and July 2024, we retrospectively analyzed 36 patients who subsequently received ICI maintenance therapy following the initial chemoimmunotherapy treatment. The SII was calculated at the start of the second cycle of the ICI maintenance therapy. …”
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  15. 21635

    Cost-Effectiveness of Bariatric Surgery versus Medication Therapy for Obese Patients with Type 2 Diabetes in China: A Markov Analysis by Bin Wan, Nan Fang, Wei Guan, Haixia Ding, Ying Wang, Xin Ge, Hui Liang, Xin Li, Yiyang Zhan

    Published 2019-01-01
    “…The health-care costs in the bariatric surgery group, proportion of patients in each group with remission of diabetes, and state transition probabilities were calculated based on observed resource utilization from the hospital information system (HIS). …”
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  16. 21636

    Modeling the hydraulic roughness of a movable flatbed in a sand channel while considering the effects of water temperature by Junzheng Liu, Jinliang Zhang, Zhe Huang, Haijue Xu, Yuchuan Bai, Gang Wang

    Published 2025-02-01
    “…The prediction of the flow resistance (usually quantified as the hydraulic roughness) of a movable flatbed is a key issue affecting the calculation accuracy of flood levels in river training projects. …”
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  17. 21637

    Machine learning-based analyses of contributing factors for the development of hypertension: a comparative study by Marenao Tanaka, Yukinori Akiyama, Kazuma Mori, Itaru Hosaka, Keisuke Endo, Toshifumi Ogawa, Tatsuya Sato, Toru Suzuki, Toshiyuki Yano, Hirofumi Ohnishi, Nagisa Hanawa, Masato Furuhashi

    Published 2025-12-01
    “…The predictive abilities of 58 candidates including fatty liver index (FLI), which is calculated by using body mass index, waist circumference and levels of γ-glutamyl transferase and triglycerides, were investigated by statistics analogous to the area under the curve (AUC) in receiver operating characteristic curve analyses using ML models including logistic regression, random forest, naïve Bayes, extreme gradient boosting and artificial neural network.Results During a 10-year period (mean period: 6.1 years), 2,132 subjects (19.1%) in the training group and 917 subjects (19.1%) in the test group had new onset of hypertension. …”
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  18. 21638

    Reproductive strategies in loggerhead sea turtle Caretta caretta: polyandry and polygyny in a Southwest Atlantic rookery by Laís Amorim, Lara Chieza, Jake A. Lasala, Sarah de Souza Alves Teodoro, Wesley D. Colombo, Ana Carolina Barcelos, Paula Rodrigues Lopes Guimarães, João Luiz Guedes da Fonseca, Ana Claudia Jorge Marcondes, Alexsandro Santos, Sarah Vargas

    Published 2025-01-01
    “…The breeding sex ratio (BSR) was calculated to be 2.09 males per female. While multiple paternity is a common phenomenon among sea turtles, this study is the first to document polyandry in loggerheads in Brazil and the first to provide evidence of polygyny in this species globally. …”
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  19. 21639

    Prediction of delirium occurrence using machine learning in acute stroke patients in intensive care unit by Hyungjun Kim, Hyungjun Kim, Min Kim, Da Young Kim, Dong Gi Seo, Ji Man Hong, Ji Man Hong, Dukyong Yoon, Dukyong Yoon

    Published 2025-01-01
    “…The 8 fixed features [Age, Sex, Alcohol Intake, National Institute of Health Stroke Scale (NIHSS), HbA1c, Prothrombin time, D-dimer, and Hemoglobin] identified at admission and 12 dynamic features [Mean or Variability indexes calculated from Body Temperature (BT), Heart Rate (HR), Respiratory Rate (RR), Oxygen saturation (SpO2), Systolic Blood Pressure (SBP), and Diastolic Blood Pressure (DBP)] based on vital signs were used for developing prediction models using the ensemble method.ResultsThe Area Under the Receiver Operating Characteristic curve (AUROC) for delirium-state classification was 0.80. …”
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  20. 21640

    Functional and structural connectivity of the subregions of the amygdala in ADHD children with or without ODD by Zhao-Min Wu, Peng Wang, Xue-Chun Liu, Qing-Chao Zhou, Xiao-Lan Cao, Li Sun, Lu Liu, Qing-Jiu Cao, Li Yang, Yu-Feng Wang, Ying Qian, Bin-Rang Yang

    Published 2025-01-01
    “…Functional connectivity and structural connectivity were calculated using bilateral subregions of the Amygdala as seeds. …”
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