Derivation and Application of a Scaling between Hinode/SP and SDO/HMI Vector Magnetic Fields to Improve Magnetic Field Extrapolations by C. Beck, A. Prasad, Q. Hu, M. S. Yalim, S. Gosain, D. Prasad Choudhary

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Detection of metabolic disorders in high-risk patients: a pilot study in Salvador, Bahia Detecção de doenças metabólicas em pacientes de alto-risco: estudo piloto em Salvador, Bahi... by Maria Betânia Pereira, Gildásio Carvalho da Conceição, Janice C. Coelho, Moacir Wajner, Roberto Giugliani

“…The purpose of this pilot-study was to evaluate the applicability of a screening protocol for the detection of inborn errors of metabolism (IEM) in high-risk patients. …”
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Application of standard keratometry values obtained from keratotopographic mapping data to calculate the optical power of a multifocal intraocular lens by S. V. Shukhaev, E. V. Boiko, Yu. M. Petrosyan, A. V. Molodkin

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Computer‐Aided High Tibial Osteotomy—A Comparative Study of Commonly Used 3D Printing Technology and Navigation Application by Elvis Chun‐Sing Chui, Kyle Ka‐Kwan Mak, Randy Hin‐Ting Ng, Ericsson Chun‐Hai Fung, Mei‐Shuen Chan, Kai Yue, Lawrence Chun‐Man Lau, Clifford Long‐Fung Chan, Edmond Wing‐Fung Yau, Wei Zhao, Xiuyun Su, Jin Zhang, Jianglong Xu, Hongxun Sang, Guoxian Pei, Louis Wing‐Hoi Cheung, Sheung‐Wai Law, Michael Tim‐Yun Ong, Patrick Shu‐Hang Yung

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Online Identification of Differential Order in Supercapacitor Fractional-Order Models: Advancing Practical Implementation by Arsalan Rasoolzadeh, Sayed Amir Hashemi, Majid Pahlevani

“…The proposed method significantly shortens the long window while maintaining accuracy, making it feasible for implementation in low-cost microcontrollers and a viable solution for real-world applications. In addition, the proposed method addresses the drift error by applying online least squares error estimation that aligns it with its offline estimated value.…”
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Optimization-Driven Reconstruction of 3D Space Curves from Two Views Using NURBS by Musrrat Ali, Deepika Saini, Sanoj Kumar, Abdul Rahaman Wahab Sait

“…However, achieving high fitting accuracy in stereo-based applications remains challenging, primarily due to the nonlinear nature of weight optimization. …”
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Reduction of Mutual Coupling in UWB/MIMO Antenna Using Stub Loading Technique by Jabire Adamu Halilu, Abdu Anas, Saminu Sani, Salisu Sani, Sadiq Abubakar Muhammad, Jajere Adamu Mohammed, Ahmed Yusuf Kola

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Research on Wireless Passive Ultrasonic Thickness Measurement Technology Based on Pulse Compression Method by Long Pan, Kunsan Shi, Lei Han, Dingrong Qu, Yanling Zhang, Wenwu Chen

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Dimensional Accuracy Assessment of Medical Anatomical Models Produced by Hospital-Based Fused Deposition Modeling 3D Printer by Kevin Wendo, Catherine Behets, Olivier Barbier, Benoit Herman, Thomas Schubert, Benoit Raucent, Raphael Olszewski

“…These values fall within the recommended range of errors. A high level of dimensional accuracy of the 3D-printed anatomical models was achieved, suggesting their reliability and suitability for medical applications.…”
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A comparative study to assess synchronisation methods for combined simultaneous EEG and TMS acquisition by Isabela M. Miziara, Nicholas Fallon, Andrew Marshall, Heba Lakany

“…All paradigms achieved low latency and timing error values within acceptable limits for EEG applications, affirming their viability. …”
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Chaotic dynamics analysis and digital hardware design of the Izhikevich neuron model by Mehdi Nadiri Andabili, Soheila Nazari, Tohid Moosazadeh

“…Therefore, the suggested hardware, whose features include low error rates, acceptable power consumption, and frequency capabilities, exhibits efficiency and impact in a variety of applications, such as modeling learning processes in the nervous system that are based on nonlinear and chaotic behaviors.…”
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Deep learning-based single-shot computational spectrometer using multilayer thin films by David S. Bhatti, Jioh Lee, Cheolsun Kim, Youngin Choi, Hoon Hahn Yoon, Heung-No Lee

“…Abstract Computational spectrometers hold significant potential for mobile applications, such as on-site detection and self-diagnosis, due to their compact size, fast operation time, high resolution, wide working range, and low-cost production. …”
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Confident Learning-Based Label Correction for Retinal Image Segmentation by Tanatorn Pethmunee, Supaporn Kansomkeat, Patama Bhurayanontachai, Sathit Intajag

“…<b>Conclusions:</b> This methodology represents a feasible and scalable solution to the challenge of label noise in medical image analysis, holding particular significance for real-world clinical applications.…”
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Using Cognitive Interviewing to Test Youth Survey and Interview Items in Evaluation: A Case Example by Elisa LaPietra, Jennifer Brown Urban, Miriam R. Linver

“…Findings: As a result of using cognitive interviewing to pretest survey and interview items with youth, response errors were identified. Participants did not understand some of the items and response options as intended, indicating problems with validity. …”
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Non-linear PID control of AC current and DC voltage for a photovoltaic system operating on a microgrid by Pablo Proaño, Marcelo Pozo, Carlos Gallardo, Oscar Camacho

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Enhancing Short-Term Wind Speed Prediction Based on Deep Learning With Ensemble Learning Model for Small Wind Turbine Applications by J. Sathyaraj, V. Sankardoss

“…The performance of deep learning algorithms is evaluated using multiple metrics, namely, mean square error, normalized mean square error, root mean square error, normalized root means square error, relative root mean square error, mean absolute percentile error, symmetric mean absolute percentage error, and coefficient of determination. …”
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Assessment of Current Capabilities in Modeling the Ionospheric Climatology for Space Weather Applications: foF2 and hmF2‐II by G. Jee, J. S. Shim, I.‐S. Song, Y.‐S. Kwak, I. Tsagouri, L. Goncharenko, D. Singh, L. Rastaetter, J. Yue, M. Chou, D. Bilitza, M. Codrescu, M. Fedrizzi, T. J. Fuller‐Rowell

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Simulation of the African ITCZ during austral summer seasons and ENSO phases: application of an RCM derived from stretched grid ESM by Teke S. Ramotubei, Teke S. Ramotubei, Willem A. Landman, Mohau J. Mateyisi, Shingirai S. Nangombe, Asmerom F. Beraki, Asmerom F. Beraki

“…It also provides great potential for climate applications with suitable bias corrections techniques, albeit the source and mechanism of its dynamic error growth deserve further investigation.…”
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A Low-cost Optocoupler-Based Isolator System for IoT-Based Voltage Measurement in Low and High voltage DC Applications by Ayomide Oluwaseyi Agunloye

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Optimised block bootstrap: an efficient variant of circular block bootstrap method with application to South African economic time series data by James Daniel, Kayode Ayinde, Adewale F. Lukman, Olayan Albalawi, Jeza Allohibi, Abdulmajeed Atiah Alharbi

“…Results demonstrated that OBB consistently outperformd circular block bootstrap (CBB), providing more accurate forecasts with lower root mean square error (RMSE), which assessed variance, and lower mean absolute error (MAE), which measured bias, across various time series models and parameter settings. …”
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