New Patient PROMIS Scores of Patients Presenting with Low Back Pain Predict Time to Elective Spine Surgery by Justin E. Kung, Chase Gauthier, Yianni Bakaes, Michael Spitnale, Richard A. Bidwell, David G. Edelman, Heidi C. Ventresca, J. Benjamin Jackson, Shari Cui, Gregory Grabowski

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Generalized Complex Variables of Drying Kinetics in Calculations of Drying Duration of Flat Thin Wet Materials by A. I. Ol’shanskii, A. N. Golubev

“…When processing the experiment, the relative drying rate, generalized drying time, the ratio of drying time by periods and the ratio of the current moisture content to the critical one were accepted as stable complex generalized variables when processing the experiment. …”
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Optimization of Protein Hydrolysate from Earthworms (<i>Perionyx excavatus</i>) of Angiotensin-I-Converting Enzyme Inhibitory Activity by One Variable at a Time by Phong Thanh Bui, Truc Anh Hoang, My Thi Thuy Pham, Linh Le Phuong Tran, Oanh Kim Nguyen

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Gait stability prediction through synthetic time-series and vision-based data by Mauricio C. Cordeiro, Ciaran O. Cathain, Ciaran O. Cathain, Ciaran O. Cathain, Vitor B. Nascimento, Thiago B. Rodrigues

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A Large-scale Search for Photometrically Variable Active Galactic Nuclei in Dwarf Galaxies Using the Young Supernova Experiment by Alexander Messick, Vivienne Baldassare, David O. Jones, K. Decker French, Sandra I. Raimundo, Nicholas Earl, Katie Auchettl, David A. Coulter, Mark E. Huber, Margaret E. Verrico, Thomas de Boer, Kenneth C. Chambers, Hua Gao, Chien-Cheng Lin, Richard J. Wainscoat

“…We select objects with AGN-like variability by fitting each light curve with a damped random walk (DRW) model. …”
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Information-Theoretic Analysis of EEG Wave Amplitude and Heart Rate Variability Reveals the Time Scale-Dependent Nature of Brain&#x2013;Heart Interactions by Valeria Rosalia Vergara, Chiara Bara, Andrea Zaccaro, Francesca Ferri, Fabrice Jurysta, Luca Faes, Yuri Antonacci

“…While overall coupling strength values are low, longer time-scales show a stronger presence of coupling in terms of statistically validated brain-heart connections compared to shorter time-scales. …”
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Increased arterial stiffness and heart rate variability over time in heart transplant recipients: A cross-sectional study using peripheral arterial tonometry by Juliana Andrade Ferreira de Souza, PhD, Daniella Cunha Brandão, PhD, Maria da Glória Rodrigues-Machado, PhD, Bruna T.S. Araújo, PhD, Caio Morais, PhD, Alice Miranda dos Santos, MSc, Antônio Christian Evangelista Gonçalves, PhD, Maria Inês Remígio de Aguiar, PhD, Shirley Lima Campos, PhD, Armèle Dornelas de Andrade, PhD

“…Background: Arterial stiffness represented by Augmentation index (AIx) and heart rate variability (HRV) are established predictors of cardiovascular risk in heart transplant (HTx) recipients. …”
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Cloud point prediction model for polyvinyl alcohol production plants considering process dynamics by Ayami Ohkuma, Yoshihito Yamauchi, Nobuhito Yamada, Satoshi Ooyama, Hiromasa Kaneko

“…Furthermore, the prediction accuracy of the model was improved by (1) increasing the number of samples using a data set of similar quality to the cloud point, considering that the number of samples near the control value of the cloud point is small, and (2) selecting the optimum process variable and time-delay range, considering the time delay of the process variable to accommodate the dynamic behaviour of the plant. …”
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Breeding value of sows: selection criteria of highly productive animals and economic assessment of their use by V. Khalak, B. Gutyj, O. Bordun, O. Khmelova, O. Stadnytska, N. Kibenko, N. Kravchenko, O. Shcherbak, M. Ilchenko

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Forecasting with a Bivariate Hysteretic Time Series Model Incorporating Asymmetric Volatility and Dynamic Correlations by Hong Thi Than

“…The proposed framework integrates regime switching and time-varying delays governed by a hysteresis variable, enabling the model to account for both asymmetric volatility and evolving correlation patterns over time. …”
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Continuously Variable Geometry Quadrotor: Robust Control via PSO-Optimized Sliding Mode Control by Foad Hamzeh, Siavash Fathollahi Dehkordi, Alireza Naeimifard, Afshin Abyaz

“…Extensive MATLAB 2016 simulations validate the proposed approach, demonstrating superior tracking accuracy in both fixed and variable arm-length configurations, achieving root mean square error values of 0.05 m (fixed arms), 0.06 m (variable arms, path 1), and 0.03 m (variable arms, path 2). …”
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THE EFFECT OF LEVERAGE AND ECONOMIC VALUE ADDED ON MARKET VALUE ADDED by Kristína Jančovičová BOGNÁROVÁ

“…MVA is not a performance metric like EVA, but instead is a wealth metric, measuring the level of value a company has accumulated over time. In order to maximise the value for shareholders, companies should strive towards maximising MVA and not necessarily their total market value. …”
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Forecasting pandemic-induced changes in real estate market values through machine learning approaches by Adile Gülsüm Ulucan, Aslı Bozdağ, Murat Karakoyun, Tansu Alkan

“…RF model showed more effective performance than other models by achieving the highest R2: 0.510 for 2019 and R2: 0.509 for 2022 when temporal variables were excluded. These findings highlight the importance of integrating time-sensitive parameters into valuation models to improve forecast accuracy and robustness. …”
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Prognostic value of the site, depth, and infection/ischemia classification system in diabetic foot ulcers: a retrospective cohort study by Chun-Hua Zhang, Chun-Yan Jiao, Li Li, Chen-Hui Sui, Ting Ji, Fan Wang, Jin-Jun Wang, Xiao-Na Liu

“…Abstract Diabetic foot ulcers (DFUs) represent a significant challenge in diabetic care, with variable prognoses influenced by factors such as ulcer location, depth, and the presence of infection or ischemia. …”
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The Impact of Multitasking on Transport Mode Choice in Autonomous Vehicle Age by Jamil Hamadneh, Domokos Esztergar-Kiss

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Reservoir water level prediction using combined CEEMDAN-FE and RUN-SVM-RBFNN machine learning algorithms by Lan-ting Zhou, Guan-lin Long, Can-can Hu, Kai Zhang

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Multi-UAV Cooperative Suspension Control Strategy Considering Variable Rope Length and Load Posture Coupling Effect by Yi Wang, Kang Li, Xuefu Li, Jingyu Wang, Pengbo Yu

“…Finally, a Lagrangian dynamic model that includes multiple-UAV, variable rope length, and load-coupled effects is established. …”
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Assessment of Spatiotemporal Wind Complementarity by Dirk Schindler, Jonas Wehrle, Leon Sander, Christopher Schlemper, Kai Bekel, Christopher Jung

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Missing values imputation using Fuzzy K-Top Matching Value by Azza Ali, Mervat Abu-Elkheir, Ahmed Atwan, Mohammed Elmogy

“…The proposed imputation procedure has no detrimental influence on the dataset. Finally, execution time and RMSE of imputed values are determined for three datasets with varied sample sizes and data dimensions. …”
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Chaos in Fractional-Order Glucose–Insulin Models with Variable Derivatives: Insights from the Laplace–Adomian Decomposition Method and Generalized Euler Techniques by Sayed Saber, Emad Solouma, Rasmiyah A. Alharb, Ahmad Alalyani

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