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  1. 2861

    Network meta-analysis of cadmium toxicity against Chlorella vulgaris and the role of growth stimulants and macronutrients by M. Iqhrammullah, S. Saudah, M. Monalisa, F. Fahrurrozi, S.A. Akbar, S.S. Lubis

    Published 2024-10-01
    “…The collected data were then subjected to Bayesian frequentist network meta-analysis, utilizing standardized mean difference and a 95 percent confidence interval as measures of effect size. …”
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    Article
  2. 2862

    Valgus-related Elbow Pathology Is Not Associated With Decreased Baumann’s Angle: A Case-control Study by Nicolas Pascual-Leone, MD, Olivia C. Tracey, BA, Ruth H. Jones, BS, Nnaoma Oji, MD, Douglas N. Mintz, MD, Peter D. Fabricant, MD, MPH

    Published 2024-11-01
    “…A two-tailed significance threshold was set as P ​≤ ​.05. Results: A total of 72 matched patients were included (24 MEFx, 24 OCD, and 24 controls). …”
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  3. 2863

    A randomized controlled trial to test the efficacy of trans-tympanic injections of a sodium thiosulfate gel to prevent cisplatin-induced ototoxicity in patients with head and neck... by Viannique Rolland, François Meyer, Matthieu J. Guitton, Richard Bussières, Daniel Philippon, Isabelle Bairati, Mathieu Leclerc, Mathieu Côté

    Published 2019-01-01
    “…For the main outcome, the permanent threshold shift (PTS) in decibel (dB) was calculated as the difference between the final and baseline measures at all pure tone frequencies at 0.5–14 kHz for each patient and for each ear. …”
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  4. 2864

    Reliability and responsiveness of the D12 and validity of its scores as a measure of dyspnoea severity in patients with rheumatoid arthritis-related interstitial lung disease by Jeffrey J Swigris, Sonye Danoff, Paul F Dellaripa, Joshua J Solomon, Tracy J Doyle

    Published 2023-07-01
    “…Known-groups validity was supported by significant differences between subgroups of patients with differing levels of dyspnoea (eg, St. …”
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  5. 2865

    Relationship between atherogenic index of plasma and valvular calcification in elderly patients with degenerative valvular heart disease by Qu Yinghao, Liu Mingliang, Guo Xiaozhuo, Yu Yiming, Dong Jianjun, Li Feng

    Published 2025-07-01
    “…[Objective] To investigate the relationship between arteriosclerosis index of plasma and valvular calcification in elderly patients with degenerative valvular heart disease. [Methods] A total of 148 elderly patients with degenerative valvular heart disease treated in Weifang People’s Hospital from September 2022 to February 2024 were retrospectively collected. …”
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  6. 2866

    Immediate effects of high-intensity laser therapy for nonspecific neck pain: a double-blind randomized controlled trial by Yuhua Xie, Yuhua Xie, Yingxiu Diao, Dongyu Wu, Manxia Liao, Linrong Liao, Linrong Liao, Linrong Liao

    Published 2025-04-01
    “…Upon initial comparison, no significant differences (p > 0.05) were observed between the two groups. …”
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  7. 2867

    Removal of Artifcats in Electrocardiograms using Savitzky-Golay Filter: An Improved Approach by Nisha Raheja, Amit Kumar Manocha

    Published 2020-12-01
    “…In this paper, different techniques have implemented for the removal of noises. …”
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  8. 2868

    Mendelian Randomization Study Supports Genetic Liability to Obsessive–Compulsive Disorder Associated With the Risk of Alzheimer's Disease by Si Cao, Han Su, Xiaoyi Zhang, Chao Fang, Nayiyuan Wu, Youjie Zeng, Minghua Chen

    Published 2024-10-01
    “…Results On the basis of strict IV selecting thresholds, inverse‐variance weighted (IVW) identified significant causal associations between genetic liability to OCD and increased risk of AD in two different sources ((i) Kunkle et al.: odds ratio [OR] = 1.070, 95% confidence interval [CI]: 1.015–1.127, p = 0.012; (ii) Wightman et al. 0.012; (iii) Wightman et al.: OR = 1.051, 95% CI: 1.014–1.090, p = 0.007). …”
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  9. 2869

    Can Peritumoral Radiomics Based on MRI Predict the Microvascular Invasion Status of Combined Hepatocellular Carcinoma and Cholangiocarcinoma Before Surgery? by Guo L, Huang C, Hao P, Jia N, Zhang L

    Published 2025-07-01
    “…Mutual information and recursive elimination methods were used to select the optimal features. …”
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  10. 2870

    The Bright Feature Transform for Prominent Point Scatterer Detection and Tone Mapping by Gregory D. Vetaw, Suren Jayasuriya

    Published 2025-03-01
    “…The BFT is analytic, computationally inexpensive, and requires no thresholding or parameter tuning. We derive this method by analyzing an ideal point scatterer’s response with respect to pixel intensity and contrast around neighboring pixels and non-adjacent pixels. …”
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  11. 2871

    Predicting standardized uptake value of brown adipose tissue from CT scans using convolutional neural networks by Ertunc Erdil, Anton S. Becker, Moritz Schwyzer, Borja Martinez-Tellez, Jonatan R. Ruiz, Thomas Sartoretti, H. Alberto Vargas, A. Irene Burger, Alin Chirindel, Damian Wild, Nicola Zamboni, Bart Deplancke, Vincent Gardeux, Claudia Irene Maushart, Matthias Johannes Betz, Christian Wolfrum, Ender Konukoglu

    Published 2024-09-01
    “…Using the Attention U-Net architecture, we perform experiments on datasets from four different cohorts, the largest study to date. We segment BAT regions using predicted [18F]-FDG uptake values, achieving 23% to 40% better accuracy than conventional CT thresholding. …”
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  12. 2872

    Maternal and placental microbiome and immune crosstalk in pregnancies with small-for-gestational-age fetuses – a pilot case-control study by Katarzyna Kosińska-Kaczyńska, Dominika Krawczyk, Martyna Bednorz, Katarzyna Chaberek, Agnieszka Czapska, Magdalena Zgliczyńska, Magdalena Zgliczyńska, Krzysztof Goryca, Krzysztof Goryca, Magdalena Piątkowska, Aneta Bałabas, Paweł Czarnowski, Natalia Żeber-Lubecka, Natalia Żeber-Lubecka

    Published 2025-06-01
    “…No taxa remained significant after correction in samples from fetal side, but several taxa showed trends of differing abundance. Veillonella showed a trend toward higher abundance in stool samples in SGA group, while other taxa were significant only at a lower threshold. …”
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  13. 2873

    Image Analysis to Estimate Mulch Residue in Soil by Carmen Moreno, Ignacio Mancebo, Antonio Saa, Marta M. Moreno

    Published 2014-01-01
    “…Then the percentage of white pixels (i.e., soil area) was used to calculate the mulch deterioration. A comparison of thresholding methods and the different mulch materials based on percentage of bare soil area obtained is shown.…”
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  14. 2874

    Consciousness Disorders after Elective Surgery in Patients with Cerebrovascular Insufficiency by V. V. Likhvantsev, Yu. V. Ilyin, E. A. Shmeleva, M. P. Danilov, Yu. V. Skripkin, O. A. Grebenchikov

    Published 2015-02-01
    “…When they occur, there is an increased risk of postoperative cognitive impairments, including long-term problems. The above-threshold S100b protein concentration of 0.26 ng/mg is an early predictor of postoperative cognitive disorders.…”
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  15. 2875

    Persistent influence of past obesity on current adiponectin levels and mortality in patients with type 2 diabetes by Min-Ji Kim, Sung-Woo Kim, Bitna Ha, Hyang Sook Kim, So-Hee Kwon, Jonghwa Jin, Yeon-Kyung Choi, Keun-Gyu Park, Jung Guk Kim, In-Kyu Lee, Jae-Han Jeon

    Published 2025-03-01
    “…Based on past and current BMIs, participants were categorized into never-obese (nn, n = 106), previously obese (on, n = 43), and persistently obese (oo, n = 73) groups based on a BMI threshold of 25 kg/m2. Adiponectin level and BMI were key variables. …”
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  16. 2876

    Higher Serum Neuropeptide Y Levels Are Associated with Metabolically Unhealthy Obesity in Obese Chinese Adults: A Cross-Sectional Study by Hao-Neng Tang, Fen Xiao, Ya-Ru Chen, Si-Qi Zhuang, Yue Guo, Hui-Xuan Wu, Hou-De Zhou

    Published 2020-01-01
    “…Serum NPY levels were significantly elevated in the MUO group compared with the MHO group ((667.69±292.90) pg/mL vs. (478.89±145.53) pg/mL, p<0.001). A threshold and nonlinear association between serum NPY levels and MUO was found (p=0.001). …”
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  17. 2877

    Prognostic value of the six-minute walk test in patients with cardiovascular disease by Sangho Sohn, Jinsung Jeon, Ji Eun Lee, Soo Hyung Park, Dong Oh Kang, Eun Jin Park, Dae-In Lee, Jah Yeon Choi, Seung Young Roh, Jin Oh Na, Cheol Ung Choi, Jin Won Kim, Seung Woon Rha, Chang Gyu Park, Sunki Lee, Eung Ju Kim

    Published 2025-07-01
    “…The 6MWT has a prognostic value for predicting MACE in patients with prevalent cardiovascular diseases. Different thresholds should be applied for specific diseases to enhance the predictive accuracy.…”
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  18. 2878

    Validation of genetic risk scores for hypertension in the Central Russian population by A. S. Limonova, A. I. Ershova, A. V. Kiseleva, V. A. Kutsenko, V. E. Ramensky, Yu. V. Vyatkin, E. A. Sotnikova, A. A. Zharikova, M. Zaichenoka, M. S. Pokrovskaya, S. А. Shalnova, A. N. Meshkov, O. M. Drapkina

    Published 2023-12-01
    “…A combined GRS was compiled based on coefficients from individual GRSs using the clumping + thresholding (C+T) method.Results. The study demonstrated that the predictive value of previously developed GRSs when used for Central Russian population is lower than in the original studies. …”
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  19. 2879

    A combined radiomics and clinical model for preoperative differentiation of intrahepatic cholangiocarcinoma and intrahepatic bile duct stones with cholangitis: a machine learning a... by Hongwei Qian, Hongwei Qian, Yanhua Huang, Yuxing Dong, Luohang Xu, Ruanchang Chen, Fangzheng Zhou, Difan Zhou, Difan Zhou, Jianhua Yu, Jianhua Yu, Baochun Lu, Baochun Lu

    Published 2025-03-01
    “…Radiomics features were extracted from ultrasound images, and clinical variables with significant differences between groups were identified. Feature selection was performed using LASSO regression and recursive feature elimination (RFE). …”
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  20. 2880

    Development and validation of a predictive nomogram for bilateral posterior condylar displacement using cone-beam computed tomography and machine-learning algorithms: a retrospecti... by Huachao Sui, Mo Xiao, Xueqing Jiang, Jiaye Li, Feng Qiao, Bin Yin, Yuanyuan Wang, Ligeng Wu

    Published 2025-06-01
    “…Therefore, in this study, we aimed to develop and evaluate a predictive model for bilateral posterior condylar displacement. Methods In this retrospective observational study, 166 cone-beam computed tomography images were examined and categorized into two groups based on condyle positions as observed in the sagittal images of the joint space: those with bilateral posterior condylar displacement and those without. …”
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