Analysis of the Influence of Tension on the Fluctuation of iMCVT by Feng Nenglian, Huang Hongyin, Wang Xiaofeng, Chen Longke, Zhang Xingyu

“…The Innovative Movable-teeth CVT（ iMCVT） is a new type of non-friction continuously variable transmission,in the process of transmission,there will be fluctuations in rotational speed and torque. …”
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Magnetic Field Effects on Convective Heat Transfer of Ferrofluid from a Heated Sphere in Porous Media by Ayesha Aktar, Sharaban Thohura, Md. Mamun Molla

“…For increasing Ha, the figure of streamlines seems to depict functions with more gradual changes, and for isotherms, it represents functions with sharper, exponential-like increases. …”
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Machine learning projection of climate and technology impacts on crops key to food security by Dan Li, Vassili Kitsios, David Newth, Terence John O’Kane

“…Here we introduce a multivariate autoregressive econometrics model that includes a time-varying non-linear variable to account for the decreasing impact of technology on crop yields. …”
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On the Modular Design Application for the Gas Turbine Sector: A Performance Optimization Approach in the Context of Industry 4.0 by Lucas Chavanel-Precloux, Roland Maranzana, Lucas A. Hof

“…Indeed, this study presents the functioning of the novel application, the different deployed components and their variables, such as the compressor efficiency, heat exchangers, or turbine stages, and the decision variable, e.g., the costs of generated energy. …”
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Locomotive Syndrome Digital Therapeutics Provided via a Smartphone App: Protocol for a Single-Group Trial by Tatsuru Sonobe, Yoshihiro Matsumoto

“…We evaluated the participants’ objective motor function using the timed up and go (TUG) test, and we compare the results using a 3-way ANOVA with the TUG test at the 3 evaluation time points as the dependent variable. …”
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Computation of the Flow and Salinity Distribution in the Vicinity of Discharge and Intake Ports of a Desalination Plant by Sami A. Al-Sanea

“…These are the convective and diffusive transport, wind stresses, sea-bed friction and variable sea-bed elevation. The results of a parametric study on a hypothetical desalination plant discharge, under a range of meteorological, hydrological, topographical and plant operating conditions, show the importance of the various factors and the possible effects of discharge on intake conditions. …”
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Multi-objective design optimization of a transonic axial fan stage using sparse active subspaces by Richard Amankwa Adjei, Chengwei Fan

“…Active subspace was used to compute the active variables via singular value decomposition and a hybrid polynomial correlated function expansion was used to construct a surrogate model on the active subspace. …”
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Comparison and System Development of a Two-Coil and Three-Coil Inductive Link for Transcutaneous Power Transfer by Maarten Schelles, Ward Lievens, Laurens Goyvaerts, Frederik Ceyssens, Rikky Muller, Michael Kraft

“…Keeping all geometric constraints constant, we investigated the differences between a two-coil and three-coil inductive link, showing that the two-coil system has a higher peak efficiency of the inductive link of 84%, while the three-coil system displays a flatter efficiency curve with a peak of 78%, as a function of the variable power consumption. …”
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Root‐Zone Water‐Storage Capacity and Uncertainty: An Intrinsic Factor Affecting Agroecosystem Resilience to Drought by Nunzio Romano, Caterina Mazzitelli, Paolo Nasta

“…Root‐zone water‐storage capacity (SR) is a commonly used variable of agroecosystem functioning, representing the maximum value of water stored within the root zone and accessible to vegetation for its productive growth. …”
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Thermal performance analysis of a heat exchanger with a novel turbulator insert by using machine learning method by Jiangbo Wang, Chenzhe Li, Liangcai Zeng, Ting Fu, Kai Liu

“…To evaluate the performance of the predictions, various metrics are employed, including the Regression Coefficient (R2), Mean Squared Error, Mean Absolute Error, and Root Mean Squared Error, for each output variable. Furthermore, the MLP model emerges as a highly efficient tool for estimating the Nu/Nu0, f/f0, and TEF of the targeted heat exchanger, where the R2 value of Nu/Nu0 is 0.9821, f/f0 is 0.9967, and TEF is 0.9370.…”
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A novel unified variational finite difference (VFD) solution method for optimal control problems by Amir Norouzzadeh, Nader Nariman-zadeh, Reza Ansari

“…To do so, the general form of quadratic performance index function and nonlinear state equations are considered first. …”
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Utilizing a Transient Electromagnetic Inversion Method with Lateral Constraints in the Goaf of Xiaolong Coal Mine, Xinjiang by Yingying Zhang, Bin Xie, Xinyu Wu

“…Through an OCCAM inversion approach, the regularization factor is dynamically determined by evaluating the norms of the data objective function and model objective function in each iteration, thereby reducing the reliance of inversion results on the initial model. …”
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Thermal performance analysis of magnetohydrodynamic Al2O3-SiO2-TiO2/water ternary hybrid nanofluid in converging and diverging channels with nanoparticle shape effects by C.M. Mohana, B. Rushi Kumar, Sunitha Nagarathnam, I.S. Shivakumara

“…Platelet-shaped nanoparticles demonstrate lower skin friction in divergent channels, whereas spherical nanoparticles exhibit higher skin friction; this trend reverses in convergent channels. …”
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Proportional Topology Optimization algorithm for two-scale concurrent design of lattice structures by Minh Ngoc Nguyen, Duy Vo, Tinh Quoc Bui

“…Here, the objective function is reformulated such that the contribution of each micro-scale design variable can be determined, facilitating the employment of PTO. …”
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Estimation of Stochastic Frontier Models with Fixed Effects through Monte Carlo Maximum Likelihood by Grigorios Emvalomatis, Spiro E. Stefanou, Alfons Oude Lansink

“…This paper proposes a procedure for choosing appropriate densities for integrating the incidental parameters from the likelihood function in a general context. The densities are based on priors that are updated using information from the data and are robust to possible correlation of the group-specific constant terms with the explanatory variables. …”
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Fast Möbius transform: An algebraic approach to information decomposition by Abel Jansma, Pedro A. M. Mediano, Fernando E. Rosas

“…The partial information decomposition (PID) and its extension integrated information decomposition (ΦID) are promising frameworks to investigate information phenomena involving multiple variables. An important limitation of these approaches is the high computational cost involved in their calculation. …”
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DP600 Steel Stampability Analysis Through Microstructural Characterization by Electron Backscatter Diffraction and Nanoindentation by Rafael Guetter Bohatch, Alex Raimundo de Oliveira, Chetan P. Nikhare, Ravilson Antonio Chemin Filho, Paulo Victor Prestes Marcondes

“…Different regions of a stamped component, such as the flange, the body wall, and the punch pole, are subjected to different states of stress and deformation, determined by numerous process variables, such as friction/lubrication and tool geometry, in addition to blank holder force and drawbead geometry, which induce the material to different deformation modes. …”
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Predicting the onset of chronic kidney disease (CKD) for diabetic patients with aggregated longitudinal EMR data. by Neda Aminnejad, Michelle Greiver, Huaxiong Huang

“…This research focuses on developing a predictive model to classify diabetic patients showing signs of kidney function impairment based on their CKD development risk. …”
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Mitigating Load Imbalance and Enhancing Distribution Transformer Performance via Fuzzy Inference System by Althoff Hibban, Azriyenni Azhari Zakri, Dirman Hanafi, Boy Ihsan, Umair Ali

“…To address this issue, this study proposes a fuzzy logic-based approach using a Mamdani-type Fuzzy Inference System (FIS). The input variables, current magnitudes in phases R, S, and T, are represented by trapezoidal membership functions classified into several categories. …”
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Decomposed Linear Dynamical Systems (dLDS) models reveal instantaneous, context-dependent dynamic connectivity in C. elegans by Eva Yezerets, Noga Mudrik, Adam S. Charles

“…Abstract Mounting evidence indicates that neural “tuning” can be highly variable within an individual across time and across individuals. …”
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