Data encryption/decryption and medical image reconstruction based on a sustainable biomemristor designed logic gate circuit by Fulai Lin, Yuchen Cheng, Zhuoqun Li, Chengjiang Wang, Wei Peng, Zelin Cao, Kaikai Gao, Yu Cui, Shiyang Wang, Qiang Lu, Kun Zhu, Dinghui Dong, Yi Lyu, Bai Sun, Fenggang Ren

“…Finally, the novel logic gate circuits were constructed using the as-prepared memristor, and further memristor based encryption circuit using 3-8 decoder was innovatively designed, which can realize uniform rule encryption and decryption of medical information for data and medical images. Therefore, this work realizes the integration of memristor with traditional electronic technology and expands the applications of sustainable biomemristors in digital circuits, data encryption, and medical image security.…”
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Real-time force/position control of soft growing robots: A data-driven model predictive approach by Kalibala Abdonoor, Nada Ayman A., Ishii Hiroyuki, El-Hussieny Haitham

“…In this article, we present a data-driven dynamic model for a pressure-driven everting vine robot, utilizing a deep neural network (DNN)-based discrete-time dynamic model. …”
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Data-driven joint routing, topology, and mobility design for FANET systems using a digital twin approach by Basma M. Mohammad El-Basioni

“…The current work is based on the idea of exploiting the use of drones in conveying data for building digital twin in building digital twin of the drones system itself such that the joint design can be realized. …”
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Advancements in digital data acquisition and CAD technology in Dentistry: Innovation, clinical Impact, and promising integration of artificial intelligence by Mohammed Ahmed Alghauli, Waad Aljohani, Shahad Almutairi, Rola Aljohani, Ahmed Yaseen Alqutaibi

“…This review examines recent advancements in digital data acquisition and CAD technology in dentistry, highlighting improvements in communication, AI integration, and predictive analytics in diagnostic and treatment tools. …”
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Estimation and Modeling of Fluctuating Wind Amplitude and Phase Spectrum Using APES Algorithm Based on Field Monitored Data by Dan-hui Dan, Xiang-jie Wang, Xing-fei Yan, Wei Cheng

“…An empirical expression (eFWAS) is introduced by dimensional analysis to model the random FWAS, and its specific Davenport form is proposed according to field measured data. The parameters of the Davenport eFWAS model are estimated by using the above measured FWAS, and three specific applications of this model are put forward when different known conditions are met. …”
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COLA-GLM: collaborative one-shot and lossless algorithms of generalized linear models for decentralized observational healthcare data by Qiong Wu, Jenna M. Reps, Lu Li, Bingyu Zhang, Yiwen Lu, Jiayi Tong, Dazheng Zhang, Thomas Lumley, Milou T. Brand, Mui Van Zandt, Thomas Falconer, Xing He, Yu Huang, Haoyang Li, Chao Yan, Guojun Tang, Andrew E. Williams, Fei Wang, Jiang Bian, Bradley Malin, George Hripcsak, Martijn J. Schuemie, Yun Lu, Steve Drew, Jiayu Zhou, David A. Asch, Yong Chen

“…Abstract Clinical insights from real-world data often require aggregating information from institutions to ensure sufficient sample sizes and generalizability. …”
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Physics-Based AI-Driven Surrogate Modeling for Structural Displacement Prediction in Mechanical Systems With Limited Sensor Data by Ali Hashemi, Javad Beheshti, Mahdieh Mohammadi

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A Self-Adaptive Regression-Based Multivariate Data Compression Scheme with Error Bound in Wireless Sensor Networks by Jianming Zhang, Kun Yang, Lingyun Xiang, Yuansheng Luo, Bing Xiong, Qiang Tang

“…Wireless sensor networks (WSNs) have limited energy and transmission capacity, so data compression techniques have extensive applications. …”
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Enhancing Hierarchical Sales Forecasting with Promotional Data: A Comparative Study Using ARIMA and Deep Neural Networks by Mariana Teixeira, José Manuel Oliveira, Patrícia Ramos

“…This study seeks to improve forecast accuracy by incorporating promotional data into hierarchical forecasting models. Using a sales dataset from a major Portuguese retailer, base forecasts are generated for different hierarchical levels using ARIMA models and Multi-Layer Perceptron (MLP) neural networks. …”
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Data of vegetation structure metrics retrieved from airborne laser scanning surveys for European demonstration sitesZenodo by W. Daniel Kissling, Wessel Mulder, Jinhu Wang, Yifang Shi

“…It supports landscape-scale habitat analysis and contributes to the standardization of vegetation metrics from ALS data for site-specific ecological monitoring (e.g., Natura 2000). …”
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Bibliometric analysis of Russian publications’ quality in physical area, included to the Web of Science Core Collection Data Base by A. V. Glushanovskiy

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Development of a clinical nomogram for predicting sarcopenia in patients with chronic obstructive pulmonary disease based on NHANES data by Xingfu Fan, Jin Zhao, Yang Luo, Xiaofang Li, Wenqin Tan, Shiping Liu

“…The goal of this research is to create a nomogram model that can forecast when sarcopenia will strike people with COPD.Methods2011 to 2018 data were retrieved from four NHANES database cycles. …”
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Colored linear inverse model: A data-driven method for studying dynamical systems with temporally correlated stochasticity by Justin Lien, Yan-Ning Kuo, Hiroyasu Ando, Shoichiro Kido

“…The linear inverse model (LIM) is a class of data-driven methods that extract dynamic and stochastic information from finite time-series data of complex systems. …”
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An Efficient Estimation of Time‐Varying Parameters of Dynamic Models by Combining Offline Batch Optimization and Online Data Assimilation by Yohei Sawada

“…HOOPE‐PF outperforms the original SIRPF in synthetic experiments with toy models and a real‐data experiment with a conceptual hydrological model when an ensemble size is small. …”
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Large Scale Asset Detection Within Railway Scene Point Cloud Data From Mobile Laser Scanning by Bram Ton, Rick Akster

“…For instance, when using 25% of the training data, the average Precision (AP) for the tension rod class improves from 9.5% without transfer learning to 70.8% with transfer learning.…”
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Evaluating Transit-Oriented Development Performance: An Integrated Approach Using Multisource Big Data and Interpretable Machine Learning by Huadong Chen, Kai Zhao, Zhan Zhang, Haodong Zhang, Linjun Lu

“…The performance assessment methodology achieves significant predictive results and is computationally feasible, with potential values in applications in other high-density cities worldwide.…”
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Construction and validation of a predictive model for the risk of osteoporosis in patients with chronic kidney disease based on NHANES data. by Chunjie She, Hefeng Liu

“…<h4>Methods</h4>1498 patients diagnosed with CKD were enrolled from the National Health and Nutrition Examination Survey (NHANES) data spanning 2005-2010, 2013-2014, and 2017-2018. …”
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Low-Rank Representation and Data Compression of Full-Field Displacement Maps for Structural Modal Analysis and Damage Identification by Yankun Li, Yu Huang, Ziguang Li, Zhiping Yin, Shancheng Cao

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Cumulative Rainfall Radar Recalibration with Rain Gauge Data Using the Colour Pattern Regression Algorithm QGIS Plugin by Pablo Blanco-Gómez, Pau Estrany-Planas, José Luis Jiménez-García

“…To this end, rainfall data are the main input to hydraulic models used for the design of drainage systems and, in advanced contexts, for their real-time monitoring. …”
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Li-ion battery voltage curve reconstruction using partial charge profiles: Actual v/s truncated data by Anubhav Singh, Puritut Nakhanivej, Yazmin Monaghan, Melanie J. Loveridge, Anup Barai

“…The findings also imply that partial charging is a limitation of voltage reconstruction modelling not highlighted before due to usage of truncated data. This limitation must be addressed to improve the applicability of voltage reconstruction. …”
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