Short-term effects of different wavelengths on axial length with induced optical defocus among emmetropes by S. Ullah, M. F. Umer, S. P. Chandran

“…A pre- and post-test quasi-experimental research of 50 emmetropic undergraduate students with a mean age of 20.68 ± 0.98 years were performed at the Pakistan Institute of Ophthalmology, Al-Shifa Trust Eye Hospital, Rawalpindi, Punjab, Pakistan, utilizing non-probability judgmental sampling. …”
Get full text

Optimizing Precipitation Forecasting and Agricultural Water Resource Allocation Using the Gaussian-Stacked-LSTM Model by Maofa Wang, Bingcheng Yan, Yibo Zhang, Lu Zhang, Pengcheng Wang, Jingjing Huang, Weifeng Shan, Haijun Liu, Chengcheng Wang, Yimin Wen

“…A prediction-based strategy outperforms equal distribution in managing resources efficiently, as shown in a case study using 2022 Beidahu data. Overall, our research advances precipitation forecasting through deep learning and offers valuable insights for water resource management.…”
Get full text

Four-Wavelength Thermal Imaging for High-Energy-Density Industrial Processes by Alexey Bykov, Anastasia Zolotukhina, Mikhail Poliakov, Andrey Belykh, Roman Asyutin, Anastasiia Korneeva, Vladislav Batshev, Demid Khokhlov

“…This paper focuses on the development of an accessible basic design concept and a method for estimating temperature maps using a four-channel spectral imaging system. The research examines key design considerations and establishes a workflow for data correction and processing. …”
Get full text

32-Gb/s OOK and 64-Gb/s PAM-4 Modulation Using a Single-Drive Silicon Mach–Zehnder Modulator with 2 V Drive Voltage by Gangqiang Zhou, Linjie Zhou, Yuyao Guo, Shuhuang Chen, Liangjun Lu, Lei Liu, Jianping Chen

Get full text

Effect of grinding wheel type and cooling method on grinding quality of SiCf/SiC ceramic matrix composites by Ben WANG, Jiajie TANG, Hongdi CHU, Qi ZHANG

“…Therefore, optimizing the grinding process to improve processing quality and efficiency has become one of the key issues in current research. Orthogonal grinding experiments of SiCf/SiC composites were carried out using electroplated diamond grinding wheels and sintered diamond grinding wheels, with or without coolant. …”
Get full text

Novel magnetometer-free inertial-measurement-unit-based orientation estimation approach for measuring upper limb kinematics by Souha Baklouti, Taysir Rezgui, Abdelbadia Chaker, Anis Sahbani, Sami Bennour

Get full text

Article RETRACTED due to manipulation by the authors Mejora de los resultados de aprendizaje de Pencak Silat: un enfoque de autoevaluación basado en Android para la educación físic... by Nurul Ihsan, Ardo Okilanda, Mottakin Ahmed, Patrick Keilbart, Mohamad Nizam Mohamed Shapie, Suwirman Suwirman, Weny Sasmitha

“…In response, this research introduces an Android-based self-assessment application designed to provide timely feedback and enhance learning outcomes. …”
Get full text

A Hybrid Deep Learning Model for Enhanced Structural Damage Detection: Integrating ResNet50, GoogLeNet, and Attention Mechanisms by Vikash Singh, Anuj Baral, Roshan Kumar, Sudhakar Tummala, Mohammad Noori, Swati Varun Yadav, Shuai Kang, Wei Zhao

“…To further enhance the robustness, data augmentation techniques were also employed. In this research, precision, recall, F1-score, and accuracy were employed to evaluate the effectiveness of the introduced hybrid deep learning model. …”
Get full text

Predicting Diameter Distributions in Mixed Forests in Southern Mexico by Juan Carlos Guzmán-Santiago, Héctor Manuel de los Santos-Posadas, Benedicto Vargas-Larreta, Martín Gómez-Cárdenas, Wenceslao Santiago-García, Adan Nava-Nava

Get full text

Adsorption of brilliant cresyl blue using NaOH-activated biochar derived from sewage sludge by Ben Ali Majda, Bakhtaoui Yassmina, Flayou Majda, El Hazzat Mouatamid, Sifou Aicha, Dahhou Mohammed, Kacimi Mohammed, Benzaouak Abdellah, El Hamidi Adnane

“…Managing this sludge is critical, as traditional disposal methods carry risks: agricultural use can lead to environmental contamination, while landfill disposal raises concerns about solid waste management and the preservation of landfill sites. Our research focuses on converting this urban sludge into activated carbon. …”
Get full text

On the Interactions of Fused Pyrazole Derivative with Selected Amino Acids: DFT Calculations by Kornelia Czaja, Jacek Kujawski, Elżbieta Jodłowska-Siewert, Paulina Szulc, Tomasz Ratajczak, Dominika Krygier, Marcin K. Chmielewski, Marek K. Bernard

“…Continuing our previous research aiming at elucidating the mechanism of pyrazole’s anticancer activity, we carried out in silico studies on the interactions of fused pyrazole derivative with alanine, lysine, glutamic acid, and methionine. …”
Get full text

Caregiver Contribution to Self-Care of Chronic Illness Inventory: Evaluation of Measurement Properties in a Middle-Income Country by Sajmira Adëraj, Alta Arapi, Rocco Mazzotta, Alessandro Stievano, Dasilva Taci, Dhurata Ivziku, Vicente Bernalte-Martí, Ercole Vellone, Gennaro Rocco, Maddalena De Maria

Get full text

A Low-Cost Arduino-Based I–V Curve Tracer with Automated Load Switching for PV Panel Characterization by Pedro Leineker Ochoski Machado, Luis V. Gulineli Fachini, Erich T. Tiuman, Tathiana M. Barchi, Sergio L. Stevan, Hugo V. Siqueira, Romeu M. Szmoski, Thiago Antonini Alves

“…This work provides an accessible, robust, and efficient tool for PV characterization, democratizing access for research, education, and field diagnostics.…”
Get full text

Autoencoder Extreme Learning Machine for Fingerprint-Based Positioning: A Good Weight Initialization is Decisive by Darwin P. Quezada Gaibor, Lucie Klus, Roman Klus, Elena Simona Lohan, Jari Nurmi, Mikko Valkama, Joaquin Huerta, Joaquin Torres-Sospedra

“…Once the dimensionality of the dataset is reduced, we use <inline-formula><tex-math notation="LaTeX">$k$</tex-math></inline-formula>-nearest neighbors to perform the position estimation. This research work includes a comparative analysis with several traditional ways to initialize the input weights in AE-ELM, showing that FID provide a significantly better reconstruction error. …”
Get full text

Investigation on Thermal Conductivity of Soil Under Freeze–Thaw Action Based on Machine Learning Models by Yuwei Chen, Yadi Min, Haiqiang Jiang, Jing Luo, Mengxin Liu, Enliang Wang, Xingchao Liu, Ke Shi, Xiaoqi Li

“…Meanwhile, mean absolute error (MAE), root mean square error (RMSE), and correlation coefficient(R²) were used to evaluate the accuracy of the models. …”
Get full text

SPAGRM: effectively controlling for sample relatedness in large-scale genome-wide association studies of longitudinal traits by He Xu, Yuzhuo Ma, Lin-lin Xu, Yin Li, Yufei Liu, Ying Li, Xu-jie Zhou, Wei Zhou, Seunggeun Lee, Peipei Zhang, Weihua Yue, Wenjian Bi

Get full text

Digital biomarkers for interstitial glucose prediction in healthy individuals using wearables and machine learning by Xinyu Huang, Franziska Schmelter, Christian Seitzer, Lars Martensen, Hans Otzen, Artur Piet, Oliver Witt, Torsten Schröder, Ulrich L. Günther, Lisa Marshall, Marcin Grzegorzek, Christian Sina

Get full text

26 Evaluating AI models trained with varying amounts of expert feedback for chronic graft-versus-host disease skin assessment in photos of patients with diverse skin tones by Andrew McNeil, Kelsey Parks, Michael Pogharian, Edward W Cowen, Julia Lehman, Stephanie J Lee, Steven Z Pavletic, Benoit M Dawant, Eric R Tkaczyk

Get full text

Automated seafood freshness detection and preservation analysis using machine learning and paper-based pH sensors by B. Kumaravel, A. L. Amutha, T. P. Milintha Mary, Aryan Agrawal, Akshat Singh, S. Saran, Nagamaniammai Govindarajan

“…The model’s performance was evaluated using standard metrics such as Mean Absolute Error (MAE), Mean Squared Error (MSE), and Root Mean Squared Error (RMSE). …”
Get full text

Forecasting antimicrobial resistance in China using a hybrid ARIMA-GM(1,1) model by Feng Liu, Caixia Dang, Hengliang Lv, Ziqian Zhao, Sijin Zhu, Yang Wang, Hongbin Song, Yuanyong Xu, Hui Chen

“…The model performance was evaluated using five metrics: Mean Squared Error (MSE), Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE) and R 2, and the resistance rate trends for 2024–2028 were predicted. …”
Get full text