Clinical Outcome Prediction Model in Tetralogy of Fallot Without Pulmonary Valve Replacement Using Contraction Fraction From the SCOUT‐TOF Registry by Mark A. Fogel, Jennifer A. Faerber, Abdullah Mahmood, Keerthi Reddy, Xuemei Zhang, Elizabeth Goldmuntz, Matthew A. Harris, David Biko, Sara Partington, Stephen Paridon, Michael Mcbride, Victor Ferrari, Kevin K. Whitehead, Laura Mercer‐Rosa

“…Background Few large scale prediction models of clinical outcomes in repaired tetralogy of Fallot (rTOF) exist. …”
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Basics of the Wolfgang Stützel’s Balance Mechanics by Alan K. Karaev, Vadim V. Ponkratov

“…Methods. A key feature of the SFC models is that they aggregate the full integration of real and financial sectors of the economy. …”
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Immune responses in rodent whole eye transplantation: elucidation and preliminary investigations into rejection diagnosis and monitoring by Bing Li, Yong Wang, Charles R. Owens, Touka Banaee, Charleen T. Chu, Kayvon Jabbari, Anna D. Lee, Neil J. Khatter, Alan G. Palestine, An-Jey A. Su, Christene A. Huang, Kia M. Washington

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Artificial neural network and response surface method-based optimization of unsteady natural convective heat transfer of Fe3O4-Engine Oil nanofluid in a trapezoidal enclosure by Umme Salma, Md. Shariful Alam, S. M. Chapal Hossain, Md. Nurul Huda, Tarikul Islam

“…The numerical results are used to train and evaluate the performance of both RSM and ANN models. A central composite design within the RSM framework is applied for statistical experimental design, exploring combinations of input parameter values. …”
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Exploring the connection between maternal mental health and partnership, parental role, and satisfaction with various aspects of life using pairfam data: a cross-sectional analysis by Monique Förster, Claudia Kirsch, Julia Habermann, Dorothee Noeres

“…Multiple linear regression analysis was conducted, with the mental health composite scale of the Short Form 12 (Version 2.0) Health Survey as the dependent variable, and the previously mentioned variables as independent variables. …”
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Enhancing Nitrate Removal With Industrial Wine Residue: Insights From Laboratory Batch and Column Experiments Using Chemical, Isotopic and Numerical Modeling Tools by Alex Abu, Raúl Carrey, Dídac Navarro‐Ciurana, Rosanna Margalef‐Marti, Albert Soler, Neus Otero, Jesús Causapé, Cristina Domènech

“…A numerical geochemical model that accounts for the changes in nitrate, nitrite concentration and isotopic composition due to the degradation of lías and vínico, including transport in the case of the column experiment, was performed to simulate the experimental results and can be up‐scaled in field treatments.…”
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Measurement of the Pitch Deviation and Tooth Ring run-out of Bevel Gear based on Laser Displacement Sensor by Qiu Lin, Song Aiping, Shen Yuhan, Peng Yun

“…In view of lacking precision measuring device for bevel gear and the cumbersome process of measuring process,a new integrated measuring device based on laser displacement sensor is developed. The composition and measurement principle of the measuring device are introduced,through the coordinate transformation of sampled data,the mathematical model of bevel gear tooth profile is obtained. …”
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Dynamic characteristics analysis of a multi-layer cantilever beam-type rotational piezoelectric energy harvester based on the Timoshenko beam model by Dawei Man, Qiuyu Sun, Liping Tang, Qinghu Xu, Leiyu Chen, Tingting Han

“…The dynamic response expression of the system is derived using the generalized Hamilton’s principle, and the output power of the RPVEH is analyzed based on the harmonic balance method. The differences between the Timoshenko beam and the Euler beam models for various composite cantilever beam thicknesses are examined. …”
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Association between Advanced Lung Cancer Inflammation Index and 30-day mortality in patients with spontaneous intracerebral hemorrhage: a retrospective cohort study by Jianzhong Ding, Jianzhong Ding, Jiquan Zhang, Wanqiu Lv, Yangchun Xiao, Fang Fang, Wenchao Ma, Yu Zhang, Xiaoli Zhong

“…ROC curve analysis demonstrated that ALI outperformed individual biomarkers (BMI, albumin, and NLR) in predicting mortality, with an AUC of 0.681, which further improved to 0.811 when ALI was integrated into the ICH prediction model.ConclusionALI is a reliable composite biomarker, with higher ALI scores being significantly associated with reduced 30-day mortality in patients with ICH.…”
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Development and Evaluation of Machine Learning Models for Air-to-Land Temperature Conversion Using the Newly Established Kunlun Mountain Gradient Observation System by Yongkang Li, Qing He, Yongqiang Liu, Amina Maituerdi, Yang Yan, Jiao Tan

“…Consequently, CatBoost was selected as the optimal model. Additionally, this study analyzed the spatiotemporal distribution characteristics of cloud cover in the Kunlun Mountain region using the MOD11A1 product and assessed the uncertainties introduced by the 8-day average compositing method of the MOD11A2 product. …”
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The Calculation and Optimization Methodology of Repairable Elements of a UAV Structure by Wojciech Skarka, Sergiy Kurennov, Kostiantyn Barakhov, Fedir Gagauz, Olesia Maksymovych, Oleksii Vambol

“…Compared with conventional repair procedures (in which composite prepregs or wet lay-up are used), the suggested method allows damaged UAV structures to be repaired relatively quickly in field conditions without the need for a vacuum or special equipment. …”
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Improving the Universal Performance of Land Cover Semantic Segmentation Through Training Data Refinement and Multi-Dataset Fusion via Redundant Models by Jae Young Chang, Kwan-Young Oh, Kwang-Jae Lee

“…In this study, we propose a method to mitigate these inconsistencies by utilizing redundant models and verify the improvement using a public dataset based on Google Earth images. …”
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Enhanced Short-Term PV Power Forecasting via a Hybrid Modified CEEMDAN-Jellyfish Search Optimized BiLSTM Model by Yanhui Liu, Jiulong Wang, Lingyun Song, Yicheng Liu, Liqun Shen

“…Subsequently, the fast Fourier transform and improved Pearson correlation coefficient (IPCC) were applied to identify and merge similar-frequency intrinsic mode functions, forming new composite components. Each reconstructed component was then forecasted individually using a BiLSTM model, whose parameters were optimized by the JS algorithm. …”
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Testing a capacity-load model for hypertension: disentangling early and late growth effects on childhood blood pressure in a prospective birth cohort. by Carlos S Grijalva-Eternod, Debbie A Lawlor, Jonathan C K Wells

“…We predicted that decreased capacity and increased load would be independently associated with increased BP.<h4>Methods and findings</h4>Data from the ALSPAC cohort on growth from birth to 7 years, and body composition by dual-energy X-ray absorptiometry and BP at 9 years, were analysed (n = 6579). …”
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Hypoxia reconstructed colorectal tumor microenvironment weakening anti-tumor immunity: construction of a new prognosis predicting model through transcriptome analysis by Ruizhi Zhang, Yisong Gao, Chong Li, Ruikang Tao, Gan Mao, Tianyu Song, Wenxiang Nie, Suao Liu, Kaixiong Tao, Wei Li

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Activity and diffusivity of oxygen in the liquid dilute BixSb1-x solutions by Jendrzejczyk-Handzlik D., Handzlik P., Fitzner K.

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Improved sound absorption with 3D-printed micro-perforated sandwich structures by Peng-Fei Zhang, Zhong-Hua Li, Yu-Jun Zhou, Qi-Fei Zhang, Bin Liu, Fei Liu, Si-Chen Pei, Ke Shi, Pei-kang Bai

“…The sound absorption theoretical model of TPMS microperforated sandwich and polyurethane composite structure was established by transfer matrix method. …”
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Assessment of the relationship of number of sertoli cells with number of germ cells, spermatogenic activity and germ cell apoptosis rates in bullsusing different regression models by YAMINA BELKHIRI, SOUHEYLA BENBIA, RAMZI LAMRAOUI

“…Standard error (SE), coefficient of correlation (r), R-squared (R²), mean squared error (MSE) and root mean squared error (RMSE) statistics were used to identify the optimal model. Statistical analysis revealed that, except for Leydig cell counts, Sertoli cell numbers may predict the overall composition of testicular cells. …”
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Predicting gut microbiota dynamics in obese individuals from cross-sectional data by Ena Melvan, Ena Melvan, Andrew P. Allen, Tea Vuckovic, Irena Soljic, Antonio Starcevic

“…While gut microbiota has been linked to obesity, most research has focused on static taxonomic composition rather than the dynamic interactions between microbial taxa.MethodsWe applied BEEM-Static, a generalized Lotka-Volterra model, to cross-sectional 16S rRNA gut microbiome data from six public datasets, comprising 2,435 profiles from lean and obese individuals.ResultsA total of 57 significant microbial interactions were identified in obese individuals (79% negative), compared to 37 in lean individuals (92% negative). …”
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Indonesian Stocks’ Volatility during COVID-19 Waves: Comparison between IHSG and ISSI by Muhammad Syauqy Alghifary, Dzuliyati Kadji, Iffah Hafizah

“…The performance was measured by analyzing the volatility of the Indonesian Sharia Stock Index (ISSI) and the Composite Stock Price Index (IHSG) during the COVID-19 pandemic. …”
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