Correlation Between Friction Time, Rotational Speed, and Mechanical Properties in Aluminum-Based Friction Welding Processes by Bibit Sugito, Agus Dwi Anggono, Agung Setyo Darmawan, Agus Hariyanto

“…In friction welding, rotational speed is a critical parameter that influences the welding outcomes by interacting with time and temperature variables. This study investigates the effects of varying friction times on the microstructure, hardness, and mechanical properties of friction-welded aluminum alloys. …”
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On the Standardization of Approximate Entropy: Multidimensional Approximate Entropy Index Evaluated on Short-Term HRV Time Series by Juan Bolea, Raquel Bailón, Esther Pueyo

“…Aging and congestive heart failure (CHF) were characterized from RR interval time series of available databases. Results. In synthetic time series, MApEnmax values were proportional to the level of randomness; i.e., MApEnmax increased for higher values of P in generated MIX(P) processes and was larger for white than for pink noise. …”
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LTPO-TFT-Based Pixel Circuit With TFT, OLED, and Supply Voltage Compensation for Enhanced Luminance Uniformity in Variable-Frame-Rate AMOLED Smartwatch Displays by Jui-Hung Chang, Cheng-Han Ke, Chia-Lun Lee, Po-Cheng Lai, Chi-Hsuan Huang, Li-Wei Shih, Chih-Lung Lin

“…This work proposes a new pixel circuit using low-temperature polycrystalline silicon and oxide (LTPO) thin-film transistors (TFTs) for use in variable-frame-rate active-matrix organic light-emitting diode (AMOLED) smartwatch displays. …”
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PKS J0805-0111: A Second Owens Valley Radio Observatory Blazar Showing Highly Significant Sinusoidal Radio Variability—The Tip of the Iceberg by P. V. de la Parra, S. Kiehlmann, P. Mróz, A. C. S. Readhead, A. Synani, M. C. Begelman, R. D. Blandford, Y. Ding, F. Harrison, I. Liodakis, W. Max-Moerbeck, V. Pavlidou, R. Reeves, M. Vallisneri, M. F. Aller, M. J. Graham, T. Hovatta, C. R. Lawrence, T. J. W. Lazio, A. A. Mahabal, B. Molina, S. O’Neill, T. J. Pearson, V. Ravi, K. Tassis, J. A. Zensus

“…Owens Valley Radio Observatory observations of the supermassive black hole binary (SMBHB) candidate PKS 2131−021 revealed, for the first time, six likely characteristics of the phenomenology exhibited by SMBHBs in blazars, of which the most unexpected and critical is sinusoidal flux density variations. …”
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Spatiotemporal zoning of groundwater quality in Rechna Doab: analysis of Electrical Conductivity (EC), Sodium Adsorption Ratio (SAR), and Residual Sodium Carbonate (RSC) variabilit... by Muhammad Abbas, Muhammad Arshad, Muhammad Adnan Shahid

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The Effects of Passive Leg Raising and Maintenance Fluid Administration on Pulse Oximetry Waveform Amplitude and Peak Variability in Mechanically Ventilated Patients in Sepsis and... by Jamie Kagihara, Xinning Guo, Ahmet Baydur

“…<b>Objective:</b> We sought to assess variations in pulse oximetry waveform amplitude (ΔP) and peak values (ΔS) separately during passive leg raising (PLR) and challenge plus maintenance crystalloid volume resuscitation over time in mechanically ventilated (MV) patients in shock. …”
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Variability in Arterial Stiffness and Vascular Endothelial Function After COVID-19 During 1.5 Years of Follow-Up—Systematic Review and Meta-Analysis by Danuta Loboda, Krzysztof S. Golba, Piotr Gurowiec, Aelita Bredelytė, Artūras Razbadauskas, Beata Sarecka-Hujar

“…Six studies assessed variability in FMD, while nine did so for cfPWV during the F/U. …”
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Clarifying causality and information flows between time series: Particulate air pollution, temperature, and elderly mortality by Louis Anthony Cox, Jr

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Significant PK variability of plasma-derived FIX concentrates in chinese children with Haemophilia B: A fixed single-dose study of factor IX-CTBB by Guoqing Liu, Di Ai, Gang Li, Yingzi Zhen, Xinyi Wu, Wanru Yao, Yunyun Wei, Zekun Li, Yaohan Zhou, Runhui Wu, Zhenping Chen

“…The t1/2, Vss and mean residence time after intravenous injection (MRT) decreased with increasing age and body weight. …”
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Effect of meal time on postprandial glycemia in patients with type 2 diabetes mellitus and obesity not receiving insulin by I. V. Misnikova, D. E. Zoloeva, A. A. Glazkov

“…Features of the postprandial response in patients with T2DM are not effective enough.AIM: To assess variability of postprandial glycemia based on flash glucose monitoring (FGM) depending on meal times in patients with T2DM not receiving insulin.MATERIALS AND METHODS: Open prospective study. …”
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Optimizing tomato yield prediction using phenologically timed UAV-based spectral data and machine learning by Carolina Trentin, Yiannis Ampatzidis, Sotirios Tasioulas, Pavlos Tsouvaltzis

“…Among the models evaluated, linear regression (LR) and XGBoost achieved the best performance, with root mean squared error (RMSE) values of 16.13 kg and 16.15 kg, respectively, and R² values of 0.63. …”
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TemDeep: a self-supervised framework for temporal downscaling of atmospheric fields at arbitrary time resolutions by L. Wang, Q. Li, Q. Li, Q. Lv, Q. Lv, X. Peng, X. Peng, W. You

“…In this paper, we present a self-supervised framework for downscaling atmospheric variables at arbitrary time resolutions by imposing a temporal coherence constraint. …”
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Acoustic behavior and time prediction method for water inrush of tunnel floor under osmotic water pressure by J.G. Wang, Z. Ma, Y.R. Cong, S. Yang

“…Through the monitoring of multiple physical information during the experimental process, the distribution of AE results in space and time was obtained, and the fracture sources were further categorized by the AF-RA values of the AE data. …”
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Thermal characteristics of Falkner-Skan flow of time-dependent Maxwell material with varying viscosity and thermal conductivity by S. Bilal, Muhammad Yasir, Muhammad Bilal Riaz

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Time trend of Brazilian hospital admissions and deaths due to asthma among children and teenagers, 1998-2019. by Luiza Gabriela de Araújo Fonseca, Rêncio Bento Florêncio, Illia Nadinne Dantas Florentino Lima, Lucien Peroni Gualdi

“…The following variables were collected: number and place of hospital admissions classified by the ICD-10, absolute values and frequency by age group, gender and lethality. …”
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Time series AQI forecasting using Kalman-integrated Bi-GRU and Chi-square divergence optimization by Narmeen Fatima, Samia Nawaz Yousafzai, Nadhem Nemri, Hadeel Alsolai, Shouki A. Ebad, Shaymaa Sorour, Yeonghyeon Gu, Muhammad Syafrudin, Norma Latif Fitriyani

“…Additionally, we incorporate a Chi-square Divergence-based regularization term into the loss function to explicitly minimize the distributional mismatch between predicted and actual pollutant levels–a contribution not explored in prior AQI models. Missing values are imputed using a pollutant-specific ARIMA model to preserve time-dependent trends. …”
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Photoplethysmography-based HRV analysis and machine learning for real-time stress quantification in mental health applications by Ying-Ying Tsai, Yu-Jie Chen, Yen-Feng Lin, Fan-Chi Hsiao, Ching-Han Hsu, Lun-De Liao

“…Baseline and stress-state PPG data are collected, converted into HRV values, and input into the model for stress quantification. …”
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Mapping global distributions, environmental controls, and uncertainties of apparent topsoil and subsoil organic carbon turnover times by L. Zhang, L. Zhang, L. Yang, T. W. Crowther, C. M. Zohner, S. Doetterl, G. B. M. Heuvelink, G. B. M. Heuvelink, A. M. J.-C. Wadoux, A.-X. Zhu, Y. Pu, F. Shen, H. Ma, Y. Zou, C. Zhou, C. Zhou

“…The cross-validation shows that the fitted machine learning models effectively captured the variabilities in <span class="inline-formula"><i>τ</i></span>, with <span class="inline-formula"><i>R</i>²</span> values of 0.87 and 0.70 for topsoil and subsoil <span class="inline-formula"><i>τ</i></span> mapping, respectively. …”
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Critical conflict probability: A novel risk measure for quantifying intensity of crash risk at unsignalized intersections by Aninda Bijoy Paul, Ph.D., Ninad Gore, Ph.D., Shriniwas Arkatkar, Ph.D., Gaurang Joshi, Ph.D., Md Mazharul Haque, Ph.D.

“…CCP is derived from Post-Encroachment Time (PET) using the Generalized Extreme Value (GEV)-based extreme value theory (EVT) modeling framework. …”
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PSA density as a predictor of long-term infectious complications during transurethral resection of the prostate: determining an optimal cut-off value by S. N. Ivanov, M. I. Kogan, Yu. L.  Naboka, V. L. Medvedev, G. A. Palaguta

“…Prostate-specific antigen (PSA) assessment was performed &lt; 2 days before surgery.Results. The median PSAd value was 0.04 [0.03; 0.08] ng/ml2, the variable was significantly different in non-infection and infection groups (0.04 and 0.08 ng/ml2, respectively, p = 0.009). …”
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