An urban land surface temperature and emissivity separation algorithm from ASTER TIR data and its application by Jinglun Li, Kun Li, Yonggang Qian, Xianhui Dou, Qijin Han, Jian Zeng, Hang Zhao, Qiongqiong Lan, Zhaopeng Xu, Jiayi Bai, Baoan Wei, Xining Liu, Feng Wang, Juntao Yang, Yueming Wang

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Pencil Beam Spectral Measurements of Ce, Ho, Yb, and Ba Powders for Potential Use in Medical Applications by N. Martini, V. Koukou, C. Michail, P. Sotiropoulou, N. Kalyvas, I. Kandarakis, G. Nikiforidis, G. Fountos

“…Relative root mean square error (RMSE) and the coefficient of variation were used for filter selection. …”
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Design and Linearization of a Doherty Power Amplifier in 45 nm CMOS Technology for 5G Applications by Alexandre Zem de Morais, André Augusto Mariano, Eduardo Gonçalves de Lima, Luis Schuartz, Bernardo Rego Barros de Almeida Leite

“…DPD is applied to comply with error vector magnitude (EVM) standards for a 5G NR modulated signal. …”
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Application of AI Chatbot in Responding to Asynchronous Text-Based Messages From Patients With Cancer: Comparative Study by Xuexue Bai, Shiyong Wang, Yuanli Zhao, Ming Feng, Wenbin Ma, Xiaomin Liu

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WF-SwinUnet: A Window Fusion-based RFI Segmentation Model and Its Application in FAST by QingYun Li, MingHui Li, Dongjun Yu, Jie He

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Unmanned aerial sprayers: evaluating platform configurations and flight patterns for effective chemical applications in modern vineyards by M. Jacob Schrader, Dattatray G. Bhalekar, Ramesh K. Sahni, Lav R. Khot

“…Overall, cross-row flight applications (coverage: 6.70 ± 1.38 % [mean ± standard error], deposition: 104.54 ± 17.71 ng cm-2) failed to provide significantly different (p > 0.05) spray delivery as compared to the row-aligned operations (coverage: 10.10 ± 2.14 %, deposition: 83.81 ± 11.17 ng cm-2). …”
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Application of Vis/NIR Spectroscopy in the Rapid and Non-Destructive Prediction of Soluble Solid Content in Milk Jujubes by Yinhai Yang, Shibang Ma, Feiyang Qi, Feiyue Wang, Hubo Xu

“…Specifically, it achieved an average precision (AP_p) of 99.042% on the prediction set, a high coefficient of determination (R_P²) of 0.976, and a low root-mean-square error of prediction (RMSEP) of 0.153. These results indicate that Vis/NIR spectroscopy is highly effective and reliable for the rapid and non-destructive detection of SSC in milk jujubes, and it may also provide a theoretical basis for the practical application of rapid and non-destructive detection in milk jujubes and other jujube varieties.…”
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Parents’ understanding and attitudes toward the application of AI in pediatric healthcare: a cross-sectional survey study by Yan-Dan Huang, Shu-Long Zeng, Jie Lin, Zhi-Peng Mao, Qi-Liang Zhang, Gao-Zhong Feng, Qiong-Xia Ou

“…ObjectiveTo investigate parents’ understanding and attitudes toward the application of Artificial Intelligence (AI) in pediatric healthcare.MethodsAn observational, cross-sectional study was conducted using an ad hoc questionnaire. …”
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BlueEdge: application design for big data cleaning processing using mobile edge computing environments by Nagwa Elmobark, Haitham El-ghareeb, Sara Elhishi

“…The validation of the framework was done using a larger dataset of 146 error cases with statistically significant values having confidence interval of between 3.4% to 5.8. …”
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Assessment of public knowledge of improper application aspects of topical drug preparation use: A cross-sectional study by Anmar Al-Taie, Omnia Hamdy Ahmed Ahmed Elqersh

“…Background: In clinical practices, errors in application technique are made while applying topical medications. …”
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Design, Fabrication, and Application of GaN-Based Micro-LED Arrays With Individual Addressing by N-Electrodes by Enyuan Xie, Mark Stonehouse, Ricardo Ferreira, Jonathan J. D. McKendry, Johannes Herrnsdorf, Xiangyu He, Sujan Rajbhandari, Hyunchae Chun, Aravind V. N. Jalajakumari, Oscar Almer, Grahame Faulkner, Ian M. Watson, Erdan Gu, Robert Henderson, Dominic O'Brien, Martin D. Dawson

“…Data transmission at several hundred Mb/s without bit error is achieved for single- and multiple-<inline-formula><tex-math notation="LaTeX">$\mu$</tex-math></inline-formula> LED-element operations, under an <sc>on</sc>&#x2013;<sc>off</sc>-keying modulation scheme. …”
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Applicability Evaluation of China’s First Generation of Global Land Surface Reanalysis （CRA40/Land） Air Temperature and Precipitation Products in China Mainland by Caixia WANG, Anning HUANG, Peng ZHENG, Kai LIU, Min HOU

“…The applicability of first-generation of Chinese land surface reanalysis dataset （CRA40/Land） has been evaluated with the observations from 2231 national meteorological stations and further compared with the ERA5 and CFSR datasets in terms of the spatial and temporal variations of monthly air temperature and precipitation.Triangulation linear interpolation is used to interpolate grid data into stations， and station data into grid.The China mainland is divided into four regions according to the stations distribution and topographic features.The bias， standard deviation ratio， root mean square error （RMSE）， correlation coefficient and model skill of the 3 reanalysis datasets in four regions are computed to compare the accuracy and evaluate the application.The comparative results suggest that the CRA40， ERA5 and CFSR datasets can reproduce similar spatio-temporal distribution patterns of the monthly air temperature and precipitation with the observations in Mainland of China.In particular， they all show much better performance in the eastern China than in western China and in winter than in summer.For the monthly air temperature， the mean errors of the 3 reanalysis datasets are generally within 2 ℃， with slightly better performance for the CRA40 and ERA5 datasets.For the monthly precipitation， the errors of the 3 reanalysis datasets show large differences， the CRA40 performs the best and shows the highest applicability over Mainland of China among the 3 datasets.…”
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Transformers deep learning models for missing data imputation: an application of the ReMasker model on a psychometric scale by Monica Casella, Nicola Milano, Pasquale Dolce, Davide Marocco

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A Model-Based Tightly Coupled Architecture for Low-Cost Unmanned Aerial Vehicles for Real-Time Applications by Hery A. Mwenegoha, Terry Moore, James Pinchin, Mark Jabbal

“…Other than the navigation states, the state vector also includes IMU errors, wind velocity, VDM parameters, and receiver clock bias and drift. …”
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Predicting PLGA nanoparticle size and zeta potential in synthesis for application of drug delivery via machine learning analysis by Saad Alqarni, Bader Huwaimel

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Application of machine learning and genetic optimization algorithms for modeling and optimizing soybean yield using its component traits. by Mohsen Yoosefzadeh-Najafabadi, Dan Tulpan, Milad Eskandari

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A Type-3 Fuzzy Approach for Stabilization and Synchronization of Chaotic Systems: Applicable for Financial and Physical Chaotic Systems by Man-Wen Tian, Yassine Bouteraa, Khalid A. Alattas, Shu-Rong Yan, Abdullah K. Alanazi, Ardashir Mohammadzadeh, Saleh Mobayen

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Smooth Approximation l0-Norm Constrained Affine Projection Algorithm and Its Applications in Sparse Channel Estimation by Yingsong Li, Masanori Hamamura

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Physics-Based SPICE-Compatible Compact Model of FLASH Memory With Poly-Si Channel for Computing-in-Memory Applications by Jung Rae Cho, Donghyun Ryu, Donguk Kim, Wonjung Kim, Yeonwoo Kim, Changwook Kim, Yoon Kim, Myounggon Kang, Jiyong Woo, Dae Hwan Kim

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Assisting monofloral honey classification by automated pollen identification based on convolutional neural networks by José Miguel Valiente, Juan José Martín-Osuna, Ana María Peral, Isabel Escriche

“…To minimise errors in types such as Leguminoseae, segmenting this family is recommended. …”
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