Prediction of in-hospital mortality of Clostriodiodes difficile infection using critical care database: a big data-driven, machine learning approach by Mengru Liu, Mengling Feng, Kewin Tien Ho Siah, Wesley Yeung, Hao Du, Valencia Zhang Ru-Yan, Readon Teh, Christopher Yu En Tan, Christina Scaduto, Sarah Bolongaita, Maria Teresa Kasunuran Cruz, Xiaohao Lin, Yan Yuan Tan

“…We subsequently trained three machine learning models: logistic regression (LR), random forest (RF) and gradient boosting machine (GBM) to predict in-hospital mortality. …”
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Numerical approximations of thin structure deformations by Bonito, Andrea, Guignard, Diane, Morvant, Angelique

“…The discrete energies relies on a discrete Hessian operator defined on discontinuous functions with better approximation properties than the piecewise Hessian. …”
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Estimation of chlorophyll-a in uncrewed aircraft systems imagery using autonomous surface vessel data with machine learning algorithms and feature selection techniques by Mohammad Shakiul Islam, Padmanava Dash, Abduselam M. Nur, Hafez Ahmad, Rajendra M. Panda, Jessica S. Wolfe, Gray Turnage, Lee Hathcock, Gary D. Chesser, Jr, Robert J. Moorhead

“…To ensure the algorithms were developed using accurate remote sensing reflectance data, the spectral response function of the UAS was applied to the radiometer measurements. …”
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Mavacamten maintenance dose determination: insights into individualised therapy for hypertrophic cardiomyopathy by Kawa Mohemed, Smita Scholtz, Volker Rudolph, Jan-Christian Reil, Max Potratz, Cédric Coppée, Vasco Sequeira, Werner Scholtz

“…NT-proBNP and high-sensitivity troponin I decreased significantly from 1040 ng/mL (IQR 1255) to 285 ng/mL (IQR 483; p=0.0005) and from 11 ng/mL (IQR 15.5) to 10 ng/mL (IQR 5; p<0.0001). Diastolic function improved slightly; and clinically, patients improved significantly, with improvement in NYHA class and increase in KCCQ score. …”
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Patterns of immune recovery in people living with HIV who initiated antiretroviral therapy as late presenters by Sandra Pinto-Cardoso, Monserrat Chávez-Torres, Mariana López-Filloy, Santiago Ávila-Ríos, Karla Romero-Mora, Amy Peralta-Prado

“…Interventions to boost the immune function in this at-risk population are warranted and deserving of further studies.…”
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Exact Solution for Peristaltic Flow of Jeffrey Fluid Model in a Three Dimensional Rectangular Duct having Slip at the Walls by Arshad Riaz, S. Nadeem, R. Ellahi, A. Zeeshan

“…All pertinent parameters are discussed through graphs of pressure rise, pressure gradient, velocity and stream functions. It is found that presence of slip at the walls reduces the flow velocity but increases the peristaltic pumping characteristics.…”
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State update algorithm for associative elastic-plastic pressure-insensitive materials by incremental energy minimization by N.A. Nodargi, E. Artioli, F. Caselli, P. Bisegna

“…This work presents a new state update algorithm for small-strain associative elastic-plastic constitutive models, treating in a unified manner a wide class of deviatoric yield functions with linear or nonlinear strain-hardening. …”
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Evaluation of Airport Runway Blockade Effectiveness Based on Improved Convolutional Neural Network by Cao Longping, Chen Mou, Zhou Tongle

“…The size and number of convolutional kernels are modified according to the characteristics of the runway damage images, and batch normalization layers and Mish activation functions are introduced to address the issue of gradient disappea-rance during training. …”
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A Hybrid AOA and TDOA-Based Localization Method Using Only Two Stations by Xiaolong Li, Yi Xing, Zhenkai Zhang

“…Secondly,the majorization-minimization (MM) method is employed to create surrogate functions for solving the multiple objective optimization problem. …”
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Global and Blow-Up Solutions for a Class of Nonlinear Parabolic Problems under Robin Boundary Condition by Lingling Zhang, Hui Wang

“…Under some appropriate assumption on the functions f, h, k, b, and a and initial value u0, we obtain the sufficient conditions for the existence of a global solution, an upper estimate of the global solution, the sufficient conditions for the existence of a blow-up solution, an upper bound for “blow-up time,” and an upper estimate of “blow-up rate.” …”
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CONSTRUCTING METAMORPHOSIS OF IMAGES FOR THE OBJECTS ON THE BASIS OF SOLVING EULER-POINCARE EQUATIONS by S. V. Leichter

“…Solution to the problem is based on the method of constructing a minimized functionality, which characterizes evolution process of the diffeomorphic transformation of the image from initial to the final one and “penalty charge” for the deviation of the image path from the required trajectory. …”
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Curvature-Adaptive Learning Rate Optimizer: Theoretical Insights and Empirical Evaluation on Neural Network Training by Kehelwala Dewage Gayan Maduranga

“…Theoretical analysis confirms CALR’s convergence properties, while empirical evaluations on benchmark functions—Rosenbrock, Himmelblau, and Saddle Point—highlight its efficiency in complex optimization landscapes. …”
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Temporal dynamics of summer phytoplankton communities and their response to environmental changes in the northern Yellow Sea (2011-2020) by Yibo Wang, Yibo Wang, Zhiliang Liu, Zhiliang Liu, Yanping Qi, Yang Chen, Yang Chen, Haibo Zhang, Xihan Liu, Xihan Liu, Du Su, Du Su

“…Research on phytoplankton distribution and dynamics is crucial for understanding marine ecosystem functions and evaluating their status. The northern Yellow Sea (NYS), a marginal sea of the Pacific Ocean, has experienced significant anthropogenic impacts since the late 20th century, resulting in an increased nitrogen-to-phosphorus (N/P) ratio and heightened phosphorus limitation. …”
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Bacterial community structure in bulk soil and rhizosphere of alpine plants exhibits opposite longitudinal patterns by Yixuan Liu, Hao Zhou, Guoqi Xu, Qiudi Zhang, Xing Liu

“…Soil bacteria play a key role in determining vegetation dynamics and ecosystem functions in natural grasslands, and can change along biogeographic gradients due to the sensitivity to abiotic and biotic factors. …”
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Data-driven thrust prediction in applied-field magnetoplasmadynamic thrusters for space missions using artificial intelligence-based models by Tarik Pinaffo Almeida, Shahin Alipour Bonab, Mohammad Yazdani-Asrami

“…This can potentially become a fundamental component of AF-MPDT designing software, whereby it may be used to check a configuration’s functionality, applicability and feasibility all in a few milliseconds. …”
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Numerical study of interstitial fluid flow behavior in osteons under dynamic loading by Tianyu Liu, Baochuan Xiong, Xin Cui, Chunqiu Zhang

“…Abstract Background The porous structure in bone tissue is essential for maintaining the physiological functions and overall health of intraosseous cells. …”
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In-vivo high-resolution χ-separation at 7T by Jiye Kim, Minjun Kim, Sooyeon Ji, Kyeongseon Min, Hwihun Jeong, Hyeong-Geol Shin, Chungseok Oh, Robert J. Fox, Ken E. Sakaie, Mark J. Lowe, Se-Hong Oh, Sina Straub, Seong-Gi Kim, Jongho Lee

“…In-vivo high-resolution mapping of iron and myelin distribution, estimated by χ-separation, could provide a deeper understanding of brain substructures, assisting the investigation of their functions and alterations. This can be achieved using 7T MRI, which benefits from a high signal-to-noise ratio and susceptibility effects. …”
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Engineering Strain in Silicon Using SIMOX 3-D Sculpting by Huashun Wen, David Borlaug, Hongxiang Wang, Yuefeng Ji, Bahram Jalali

“…A model capable of analyzing the stress distribution and strain gradient of buried silicon waveguides is developed. …”
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Spatial and Temporal Variability of Rainfall in Eastern Amazon during the Rainy Season by Douglas Batista da Silva Ferreira, Everaldo Barreiros de Souza, Bergson Cavalcanti de Moraes, Luiz Gylvan Meira Filho

“…Empirical orthogonal functions (EOF) and composites analysis were employed on pentad data in order to investigate the tropical atmospheric-ocean patterns over the Atlantic Ocean and the spatial-temporal characteristics of the rainfall in eastern Amazon during the peak of the rainy season (February to April). …”
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Preoperative pectoralis muscle index predicts distant metastasis-free survival in non-small cell lung cancer patients: a retrospective study by Zhihui Shi, Lin Wu, Dengke Jiang, Ruiling Yang, Rui Liao, Lizhu Liu, Ruimin You, Yanli Li, Xingxiang Dong, Dafu Zhang, Jing Wang, Xuewen Zhang, Xiaobo Chen, Zhenhui Li

“…Abstract Background Thoracic muscles contribute to respiration, is a crucial indicator for assessing functional recovery following lung resection. However, there is a lack of research on the long-term prognostic value of pectoralis muscle. …”
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