Prognostic value of lipid parameters among patients with heart failure: A systematic review and meta‐analysis by Ahmed Sayed, Hesham Afify, Malak Munir, Ibrahim ElGarhy, Omar Shazly, Mohamed ElRefaei, Saeed Ahmed, Ahmed Mazen Amin, Omar Chikh Amine, Islam Y. Elgendy

“…Lipid parameters may improve prognostication in predictive models for patients with HF. …”
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Intra-test reliability of the countermovement push-up and its relationship with anthropometric parameters in semi-professional kickboxers by Pablo Merino-Muñoz, Felipe Guimarães Teixeira, Jorge Perez-Contreras, Felipe Inostroza-Rios, Aleksandro Ferreira, Ciro Brito, Bianca Miarka, Esteban Aedo Muñoz

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Physics-based parameters selection and machine learning driven prediction of pool boiling bubble departure diameter by Uzair Sajjad, Yu-Hao Chu, Haseeb Yaqoob, Akash Sengupta, Hafiz Muhammad Ali, Khalid Hamid, Wei-Mon Yan

“…A comparison was also done to the existing correlations and it was found that neural networks have much better efficiency and accuracy than the empirical correlations for the considered data range and thus can be an essential tool to predict the bubble diameter.…”
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Sleep Parameters of Breathing and Cognitive Function in a Diverse Hispanic/Latino CohortTake-home Points by Kevin A. González, MS, Wassim Tarraf, PhD, Shanmin Sultana, BS, Barbara Junco, MS, Eena Kosik, BS, Bradley Voytek, PhD, Hector M. González, PhD, Alberto R. Ramos, MD, MSPH, FAASM

“…Breathing information was extracted from the cannula channel, and parameters of breathing were calculated by using bycycle, a novel tool for time series analysis. …”
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Imaging Microstructural Parameters of Breast Tumor in Patient Using Time-Dependent Diffusion: A Feasibility Study by Shuyi Peng, Peng Sun, Jie Liu, Juan Tao, Wenying Zhu, Fan Yang

“…The time-dependent diffusion MRI parameters have the potential to serve as a non-invasive tool to probe the differences in the internal structures of breast lesions.…”
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Estimation Network for Multiple Chemical Parameters of Astragalus Leaves Based on Attention Mechanism and Multivariate Hyperspectral Features by Yulong Zhou, Zhiyun Xiao, Tengfei Bao, Tao Fang

“…In the context of smart agriculture, accurately estimating plant leaf chemical parameters is crucial for optimizing crop management and improving agricultural yield. …”
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Prediction of bacteremia using routine hematological and metabolic parameters based on logistic regression and random forest models by Ting-Qiang Wang, Ying Zhuo, Chun-E Lv, Jing Shi, Ling-Hui Yao, Shi-Yan Zhang, Jinbao Shi

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Association between Preanaesthetic Check-up Parameters and Postoperative Recovery Score: A Cross-sectional Study by Sneha Henry, Moona Abdul Kadiru, R Shyam Krishnan, Harris Mohammed Paravengal, Keshav Anand, Mazhar Zulfikar

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A Sequence-to-Sequence Transformer Model for Satellite Retrieval of Aerosol Optical and Microphysical Parameters from Space by Luo Zhang, Haoran Gu, Zhengqiang Li, Zhenhai Liu, Ying Zhang, Yisong Xie, Zihan Zhang, Zhe Ji, Zhiyu Li, Chaoyu Yan

“…Satellite remote sensing is a crucial tool for obtaining aerosol parameters on a global scale. …”
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Predictive Value of TRUS and CEUS Parameters for Lymph Node Metastasis in Rectal Cancer: A Retrospective Study by Su S, Huang X, Li X, Meng J, Huang J

“…Both models showed satisfactory calibration (Hosmer-Lemeshow test: P> 0.05).Conclusion: The predictive model constructed based on preoperative TRUS combined with CEUS quantitative parameters, along with its combined model incorporating clinical biomarkers (CEA, CA199), can effectively predict LNM in RC, providing a non-invasive and quantifiable preoperative assessment tool for clinical practice.Keywords: rectal cancer, transrectal ultrasound, contrast-enhanced ultrasound, lymph node metastasis, logistic regression model…”
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Innovative machine learning-based prediction of early airway hyperresponsiveness using baseline pulmonary function parameters by Hua Yang, Xingru Zhao, Zhuochang Chen, Lihong Yang, Guihua Zhao, Chenxiao Xu, Jinyi Xu

“…The machine learning-based predictive model demonstrates strong performance and clinical utility, offering potential as a visual tool for early detection and standardized treatment, thereby reducing the risk of symptom exacerbation, lung function decline, and airway remodeling.…”
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Development and validation of the VAE-NT index: a novel biomechanical parameter for distinguishing subclinical corneal abnormalities by Lanting Yang, Lanting Yang, Lanting Yang, Hui Xu, Hui Xu, Honghu Jiang, Jingyin Zhu, Shihao Chen, Shihao Chen

“…The area under the receiver operating characteristic curve (AUC), sensitivity, specificity, intraclass correlation coefficient (ICC), and positive and negative likelihood ratios were calculated for the dynamic corneal response (DCR) parameters of Corvis ST. The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) model was used to objectively and comprehensively evaluate the Corvis ST DCRs, and logistic regression was used to determine the optimal combination of parameters that can accurately separate VAE-NT from normal corneas. …”
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Analisis Kandungan Karbon Organik Dalam Sedimen Di Sungai Jeneberang Pada Bagian Hulu Dengan Mempergunakan Model Soil Ans Water Assesment Tool by Ifah Latifah, M. Yanuar Purwanto, Nora H Pandjaitan

“…Tujuan dari kajian ini adalah untuk mengidentifikasi parameter-parameter model Soil Water Assessment Tool yang sesuai untuk menduga laju sedimen dan menganalisis fluktuasi sedimen di sungai Jenebrang bagian hulu serta mengkaji kandungan karbon organik dalam sedimen. …”
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External Validation of the International Prognosis Prediction Model of IgA Nephropathy by Lichao Hu, Yi Fang, Jiaxin Huang, Jin Liu, Lingling Xu, Weichun He

“…Whether incorporating the race parameter or not, both prediction models exhibited acceptable calibration. …”
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A Novel Hyperspectral Microscope Imaging Technology for the Evaluation of Physicochemical Properties and Heterogeneity in ‘Xia Hui 6’ Peaches by Shiyu Song, Zhenjie Wang, Leiqing Pan, Kang Tu

“…This work demonstrated that HMI technology as an accurate and highly effective tool in evaluating the quality of ‘Xia Hui 6’ peaches and targeting, allowing us to visualize the spatial heterogeneity within peach fruit tissues.…”
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Effect of iron supplementation in healthy exclusively breastfed infants: a systematic review and meta-analysis by Ke Tian, Wenli Liu, Yi Huang, Rong Zhou, Yan Wang, Yan Wang

“…The Cochrane risk of bias tool was used to assess the methodological quality of included trials. …”
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Acoustic and Psychological Effects of Omkar Chanting in Novice Indian Adults: A Quasi-experimental Study by Jayashree Pattanayak, Yamini Belur, Judu Ilavarasu

“…Data were analysed using paired sample t-tests to evaluate changes in voice parameters, vitality, and overall well-being. The level of significance was fixed at 0.05. …”
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Comparing the impact of foot and hand reflexology on anxiety and physiological indices in colonoscopy candidates: A randomized clinical trial by Mohamad Golitaleb, Ali Safdari, Fatemeh Rafiei, Ameneh Yaghoobzadeh, Najmeh Mohamadi, Razieh Mokhtari

“…This study aimed to evaluate their effects on pre-colonoscopy anxiety and physiological parameters. Methods: This randomized clinical study was conducted from November 2022 to August 2023 at the Amir al-Momenin Educational and Therapeutic Center in Arak, Iran. …”
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Simulation model for studying the parameters of sensor network traffic transmission using the LoRaWAN protocol by G. I. Linets, S. V. Melnikov, G. V. Slyusarev, S. V. Govorova, D. A. Avdonin, V. A. Gromakov

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Explicit Formulas for Hedging Parameters of Perpetual American Options with General Payoffs: A Mellin Transform Approach by Stefan Zecevic, Mariano Rodrigo

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