Seismic Response of Variable Section Column with a Change in Its Boundary Conditions by Alexandre de Macêdo Wahrhaftig, Moshe Eisenberger, Castro Baptista Elias, Luiz Antônio Malheiros Filho

“…As research recommendations, analysis of columns with variable cross-sections and different shapes, different distributed loadings, applying the rotational spring for both ends and over the shape functions, and analysis of buildings by an equivalent system are suggested. …”
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The nursing process and total health cost variability: an analysis using machine learning by Maria Consuelo Company-Sancho, Victor M. González-Chordá, Maria Isabel Orts-Cortés

“…Abstract Aims To find out whether the information that the nursing process provides (functional patterns and the NANDA-NIC-NOC taxonomy), presented through clinical histories, influences predictions of total healthcare costs. …”
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Evaluation of Spatio-Temporal Gait Variability during Obstacle Crossing in Parkinson\'s Disease by Elaheh Azadian, Mahdi Majlesi, Ali Fatahi, Rezvan Bakhtiyarian

“…The difference between the two groups was significant in the variability coefficient of variables such as double support time, single support time, stride time, step length, and percentage of opposite foot contact with the ground. …”
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Reliability Analysis of Three-dimensional Soil Slopes Considering Spatial Variability of Soil Parameters by Wan Yukuai, Zhou Yuqi, Shao Linlan, Wang Yuke, Zhang Fei

“…To address these limitations, this study employs the covariance matrix decomposition method to generate 3D lognormal random fields for soil parameters, enabling efficient modeling of spatial variability. The particle swarm optimization (PSO) algorithm is refined with enhanced termination criteria and integrated with the 3D Bishop method to search for the minimum factor of safety (F). …”
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A POD-Based Reduced-Dimension Method for Solution Coefficient Vectors in the Crank–Nicolson Mixed Finite Element Method for the Fourth-Order Parabolic Equation by Xiaohui Chang, Hong Li

“…This research proposes a method for reducing the dimension of the coefficient vector for Crank–Nicolson mixed finite element (CNMFE) solutions to solve the fourth-order variable coefficient parabolic equation. …”
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RESEARCH CONCAVE CIRCULAR HOLE TEMPLATE LINEAR VARIABLE THICKNESS STIFFNESS AND STRENGTH THEORIES by LI ShaoJie

“…This paper studies linear variable thickness circular aperture concave template theory of stiffness and strength calculation.First,set up mechanical model:Template for circular concave,outside the perimeter fixed; center has a round hole,inside the perimeter free,outside under uniformly distributed vertical load.Secondly,the establishment of mathematical model:Derivation of concave template in the axisymmetric condition,ordinary differential equation with variable coefficients of elastic curved surface,and gives the mathematical expressions of boundary conditions.Again,in view of the differential equation boundary value problem,the displacement method and the Matlab algorithm,it is concluded that the deflection of concave template function,and establish the stiffness calculation condition of concave template.Then,determine the concave template on the bending moment and the maximum bending moment and stress,so as to establish a concave template strength calculation conditions.Finally,numerical examples.This paper presents the function solutions,to change law of control concave template section variable parameters.In this way,not only highlight the interdependent relationship between the quantity of each,and optimization,and discussion and application.The result is suitable for uniform,continuous,isotropic material artifacts.Because in the process of calculation and data processing with error,so the formula is similar.…”
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MODELING OF SHIP MOVEMENT IN SHALLOW WATER ACCORDING TO A SPECIFIC TRAJECTORY AT VARIABLE DEPTH by Z. M. Abdullaeva

“…Mathematical models of ship movement in shallow water at variable navigation depths, which differ from the existing ones, are developed: the coefficients of variable hydrodynamic equations are not constant values, but variables obtained by approximating the shallow water impact curves onto hydrodynamic coefficients in the form of third-order polynomials.Conclusions. …”
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Correlation between intradialytic blood pressure variability and cognitive impairment in patients on maintenance hemodialysis by Jingfang Wan, Jun Liu, Jing Pan, Lili Fu, Dandan He, Yaru Yao, Yani He, Kehong Chen

“…The intradialytic SBP was converted to the following 4 candidate short-term BPV indices: standard deviation (SD), coefficient of variation (CV), average real variability (ARV), RANGE. …”
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Characteristics stochastic analysis of long and narrow deep excavations under soil spatial variability by Shouhua Liu, Zhaoliang Wang, Yadong Chen, Guohua Fang, Yiding Zhao, Junsheng Yang, Huasheng Sun

“…As the coefficient of soil spatial variability increases, the diversity and chaotic characteristics of ground surface settlements become more prominent. …”
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A Penalized Orthogonal Kriging Method for Selecting a Global Trend by Xituo Zhang, Guoxing Gao, Jianxin Zhao, Xinmin Li

“…A significant challenge arises when the mean function of the model includes polynomial terms with unknown coefficients, leading to identifiability problems and potentially unreliable results. …”
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Optimization of heat transfer and entropy for Maxwell dusty fluid: Significance of Lorentz force and variable viscosity by Aziz Ullah Awan, Sidra Qayyum, Bagh Ali, Fehmi Gamaoun, Nehad Ali Shah, N. Ameer Ahammad, Sohail Nadeem

“…Additionally, the Nusselt number and friction factor are computed. The results demonstrated that the mixed convection parameter and the dusty-fluid interaction variable increase the entropy production and the Bejan number. …”
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ON AN INITIAL BOUNDARY–VALUE PROBLEM FOR A DEGENERATE EQUATION OF HIGH EVEN ORDER by Akhmadjon K. Urinov, Dastonbek D. Oripov

“…An estimate for solution of the problem was obtained, which implies its continuous dependence on the given functions.…”
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Exponential Squared Loss-Based Robust Variable Selection with Prior Information in Linear Regression Models by Hejun Wei, Tian Jin, Yunquan Song

“…For more than a decade, penalized likelihood frameworks have been the predominant approach for variable selection, where appropriate loss and penalty functions are selected to formulate unconstrained optimization problems. …”
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Research on Stress Analysis and Control of Surrounding Rock of Trapezoidal Roadways Based on Complex Variable Theory by Zhiqiang Wang, Chao Wu, Jianqiao Luo, Wenyu Lv, Lei Shi, Peng Wang

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Statistics of the Interplanetary Magnetic Field from 0.1 to 30 au. II. Dynamical Variability by Jiutong Zhao, Shan Wang, Weijie Sun, Xingyu Zhu, Chuanpeng Hou, Qiugang Zong, Jiansen He, Xuzhi Zhou, Chao Yue, Liu Yang, Daniel Heyner

“…Our analysis reveals that the autocorrelation function employed to measure IMF temporal variability is significantly influenced by the heliocentric distance and the solar cycle. …”
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Prognostic Significance of Pulse Pressure Variability During Mechanical Thrombectomy in Acute Ischemic Stroke Patients by Benjamin Maïer, Guillaume Turc, Guillaume Taylor, Raphaël Blanc, Michael Obadia, Stanislas Smajda, Jean‐Philippe Desilles, Hocine Redjem, Gabriele Ciccio, William Boisseau, Candice Sabben, Malek Ben Machaa, Mylene Hamdani, Morgan Leguen, Etienne Gayat, Jacques Blacher, Bertrand Lapergue, Michel Piotin, Mikael Mazighi

“…Moreover, pulse pressure (PP) has not been considered as a potent hemodynamic parameter to describe BP variability during MT. We assessed the impact of PP variability on functional outcome in acute ischemic stroke patients with large vessel occlusion during MT. …”
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Free Vibration Analysis of Moderately Thick Rectangular Plates with Variable Thickness and Arbitrary Boundary Conditions by Dongyan Shi, Qingshan Wang, Xianjie Shi, Fuzhen Pang

“…Under the current framework, the one displacement and two rotation functions are generally sought, regardless of boundary conditions, as an improved trigonometric series in which several supplementary functions are introduced to remove the potential discontinuities with the displacement components and its derivatives at the edges and to accelerate the convergence of series representations. …”
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Variable Selection for Multivariate Failure Time Data via Regularized Sparse-Input Neural Network by Bin Luo, Susan Halabi

“…For linear marginal hazard models, we develop a penalized pseudo-partial likelihood approach with a group LASSO-type penalty applied to the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi mathvariant="sans-serif-italic">ℓ</mi><mn>2</mn></msub></semantics></math></inline-formula> norms of coefficients corresponding to the same covariates across marginal hazard functions. …”
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Radiative heat and mass transfer of second-grade nanofluid slip flow with variable thermal properties by Zia Ullah, Md. Mahbub Alam, Aamir Abbas Khan, Shalan Alkarni, Feyisa Edosa Merga

“…The objective of this study is to provide deeper insights into how these variables influence fluid flow characteristics and heat transfer in nanofluid. …”
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Multimodal bearing fault classification under variable conditions: A 1D CNN with transfer learning by Tasfiq E. Alam, Md Manjurul Ahsan, Shivakumar Raman

“…Bearings play an integral role in ensuring the reliability and efficiency of rotating machinery — reducing friction and handling critical loads. …”
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