Repetitive Control of Robotic Joint With Variable Impedance Utilizing Agonist-Antagonist Muscle Pair Structure Based on Virtual Trajectories by Kaho Umeda, Yinlai Jiang, Hiroshi Yokoi, Shunta Togo

“…In this study, the repetitive control based on virtual trajectory, which is a model-free control method proposed for flexible human multi-joints, is extended and applied to a real robotic joint with a variable mechanical impedance mechanism. The virtual trajectory is modeled by a time series of the equilibrium position of the spring. …”
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Mortality Prediction in COVID-19 Using Time Series and Machine Learning Techniques by Tanzina Akter, Md. Farhad Hossain, Mohammad Safi Ullah, Rabeya Akter

“…The lowest RMSE value is used to compare all of the time series and machine learning models. …”
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Visit‐to‐Visit Systolic Blood Pressure Variability Independently Predicts Cardiovascular Events in a Kidney Transplant Recipients' Cohort by Elisabetta Bussalino, Daniela Picciotto, Lucia Macciò, Angelica Parodi, Maria Teresa Gandolfo, Francesca Viazzi

“…Visit‐to‐visit systolic blood pressure variability was expressed as the SD of systolic blood pressure values recorded at baseline and 3 months up to 18 months. …”
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Effect of Solar Irradiation Inter-Annual Variability on PV and CSP Power Plants Production Capacity: Portugal Case-Study by Ailton M. Tavares, Ricardo Conceição, Francisco M. Lopes, Hugo G. Silva

“…The sizing of solar energy power plants is usually made using typical meteorological years, which disregards the inter-annual variability of the solar resource. Nevertheless, such variability is crucial for the bankability of these projects because it impacts on the production goals set at the time of the supply agreement. …”
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Variability of bulb morpho-geometrical properties in onion (Allium cepa L.) germplasm collections, using digital imaging tools by Seong-Hoon Kim, Kanivalan Iwar, JiWon Han, Inchan Choi, Jaesu Lee, Kingsley Ochar

“…Aim This study aimed to investigate the phenotypic variability of 29 onion accessions based on ten qualitative and twelve quantitative bulb characteristics. …”
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The Use of Minimization Solvers for Optimizing Time-Varying Autoregressive Models and Their Applications in Finance by Zhixuan Jia, Wang Li, Yunlong Jiang, Xingshen Liu

“…In the context of high-dimensional time series, the Vector Autoregressive model (VAR) is widely used, wherein each variable is modeled as a linear combination of lagged values of all variables in the system. …”
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Real-time classroom student behavior detection based on improved YOLOv8s by Xiaojing Sheng, Suqiang Li, Sixian Chan

“…However, the field still faces specific challenges, primarily concerning the accuracy of identifying student behaviors within complex and variable classroom environments, as well as the real-time capabilities of detection algorithms. …”
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A Comprehensive Regional Approach to Eco-Efficiency in Spanish Agriculture over Time by María Pilar Rodríguez-Fernández, Cristina Hidalgo-González, David Pérez-Neira

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Real Time Detection and Association of Helicobacter Pylori in Oral Squamous Cell Carcinoma by Kandasamy Murugan, Kesavaram Padmavathy, Philips Mathew, Nalini Ashwath, R C Neil Ananth, T Saravanan

“…H. pylori HPUreA gene was detected in the saliva samples by real-time PCR. Histopathological confirmation of the clinical diagnosis of OSCC was performed for the patient group. …”
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Association of time in range levels with diabetic nephropathy in patients with type 2 diabetes by Zeng-xin Sun, Lyv Xin, Lu-lu Kong, Hong-wei Ling

“…Based on the value of urine albumin creatine ratio （UACR）， they were divided into three groups of normoal buminuria， microalbuminuria， macroalbuminuria. …”
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Unsupervised Anomaly Detection with Continuous-Time Model for Pig Farm Environmental Data by Heng Zhou, Seyeon Chung, Malik Muhammad Waqar, Muhammad Ibrahim Zain Ul Abideen, Arsalan Ahmad, Muhammad Ans Ilyas, Hyongsuk Kim, Sangcheol Kim

“…Based on these variables, it proposes a novel encoder–decoder architecture for anomaly detection based on continuous-time models. …”
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Topology Identification Method for Active Distribution Network Based on Weighted Minimum Absolute Value State Estimation by Guang MA, Wen ZHU, Huijie GU, Huashi ZHAO, Xiqi HE, Shijie CHEN

“…Secondly, a weighted minimum absolute value state estimation method based on mixed integer linear programming was formed by adding supplementary variables and constraints to the reformulated weighted minimum absolute value state estimation method to adapt to the topology identification problem. …”
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Analysing Headway Spacing and Calculating Passenger Car Equivalent Values Using Computer Vision and International Dataset by Burak ÇELİK, Ahmet TORTUM, Emre ÇİNTAŞ, Barış ÖZYER

“…Different vehicle types impact traffic flow variably, requiring distinct passenger car equivalency (PCE) factors for calculating intersection and road capacity. …”
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Measuring student success using the High-Impact Practices Spectrum: Evidence for the value of High Engagement Experiences by Dianne Murphy, Heather Kaminski, Kathryn Marten

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Measuring student success using the High-Impact Practices Spectrum: Evidence for the value of High Engagement Experiences by Dianne Murphy, Heather Kaminski, Kathryn Marten

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Measuring student success using the High-Impact Practices Spectrum: Evidence for the value of High Engagement Experiences by Dianne Murphy, Heather Kaminski, Kathryn Marten

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Enhancing time resolution by stabilized inverse filter and Q estimated on instantaneous spectra by Luis Alfredo Montes, Álvaro Corrales, Francisco Cabrera

“…This value is input to a stable inverse Q filter, which solely compensates for the amplitude without distorting the phase, and as a result, an improved time-resolution image is obtained. …”
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Time to death and its predictors among neonates with seizure in North West Ethiopia by Tamene Fetene Terefe, Tamiru Alene, Manay Ayalneh, Nigatu Dessalegn, Yosef Aragaw Gonete, Baye Tsegaye Amlak, Fisha Alebel GebreEyesus, Alemayehu Wondie, Melaku Bimerew

“…The Cox proportional hazards model was used to identify the predictors of time to death. AHR with 95% CI was used to identify significant predictor variables, and a statistical significance was declared at p-value < 0.05. …”
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Predictive value of sub classification of focal segmental glomerular sclerosis in Oxford classification of IgA nephropathy by Fang Yu, Xuejing Zhu, Shuguang Yuan, Xiaojun Chen, Zheng Li, Zhong Qu, Hong Liu, Lin Sun, Fuyou Liu

“…The clinical features at renal biopsy, pathological findings, and follow-up parameters (follow-up time ranged from 1 to 5 years) were collected. We used univariate and multivariate analyses to assess whether the subclassification of S score could refine risk prediction and clinical utility.Results We demonstrated that S lesion ≥ 25% was associated with a more rapid GFR loss and a lower rate of complete remission of proteinuria even adjusted for multiple clinic pathological variables, compared to S1a group (All p values <.05). …”
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Time to initiation of antiresorptive agents in multiple myeloma to reduce skeletal related events by Amman Bhasin, Adam Finn Binder, Leland Damron, Amry Majeed, Adam Barsouk, Kelly Hughes, Niketa Raj, Abdullateef O. Abdulkareem, Tingting Zhan, Divya Polu, Sai Gundepalli, Srinivas Devarakonda

“…Statistically insignificant differences were observed in the time to initiation of anti-resorptive therapy based on health insurance. …”
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