Tilt-induced changes in f-wave characteristics during atrial fibrillation: an experimental and computational investigation by Mostafa Abdollahpur, Chiara Celotto, Chiara Celotto, Carlos Sánchez, Carlos Sánchez, Felix Plappert, Sten Östenson, Pyotr G. Platonov, Pablo Laguna, Pablo Laguna, Esther Pueyo, Esther Pueyo, Frida Sandberg

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Improving Moving Insect Detection with Difference of Features Maps in YOLO Architecture by Angel Gomez-Canales, Javier Gomez-Avila, Jesus Hernandez-Barragan, Carlos Lopez-Franco, Carlos Villaseñor, Nancy Arana-Daniel

“…Moreover, under simulated illumination shifts using HSV transformations, our method exhibits robustness to these variations. These results highlight the potential of the motion module as a practical and effective tool for improving insect detection in dynamic and unpredictable field scenarios.…”
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Joint Inversion of InSAR and GNSS for surface subsidence and terrestrial water storage anomalies of small-area in west-central Yunnan Province, China by Ming Shangguan, Jingyi Guo, Shuguang Wu, Xu Zhou, Rong Zou, Xin Zhang

“…Additionally, the study reveals the influence of terrain, precipitation, and vegetation on TWSA variations. Compared to existing TWSA products, the method presented in this study provides a novel approach for calculating high-resolution TWSA, offering valuable insights for water resource management.…”
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Unveiling the mechanisms and promising molecular targets of curcumin in pancreatic cancer through multi-dimensional data by HongMing Xie, JieBin Liang, HongBiao He, Zewei Zhuo, JiaXuan Li

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Efficient merging and validation of deep learning-based nuclei segmentations in H&E slides from multiple models by Jagadheshwar Balan, Shannon K. McDonnell, Zachary Fogarty, Nicholas B. Larson

“…Consequently, there remains a need for methods that leverage the strengths of multiple models to efficiently integrate nuclei segmentation for various cell types. …”
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Forecasting dengue across Brazil with LSTM neural networks and SHAP-driven lagged climate and spatial effects by Xiang Chen, Paula Moraga

“…With the country’s diverse climate and geographical spread, effective dengue prediction requires models that can account for both climate variations and spatial dynamics. This study addresses these needs by using Long Short-Term Memory (LSTM) neural networks enhanced with SHapley Additive exPlanations (SHAP) integrating optimal lagged climate variables and spatial influence from neighboring states. …”
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DESIGN AND ANALYSIS OF A HIGH-EFFICIENCY PERMANENT MAGNET SYNCHRONOUS MOTOR FOR ELECTRIC THREE-WHEELER APPLICATION by M. Balakarthikeyan, B. Mohana Segaran, M. M. Sugundan, M. Saravanan

“…This study presents the design and analysis of a Permanent Magnet Synchronous Motor (PMSM) for an electric vehicle drivetrain, focusing on a rear-axle mounted motor with a two-speed variation. The motor was developed and optimized using Finite Element Method (FEM) 2D simulations, integrating theoretical and analytical calculations. …”
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Collaborative Optimization of Shore Power and Berth Allocation Based on Economic, Environmental, and Operational Efficiency by Zhiqiang Zhang, Yuhua Zhu, Jian Zhu, Daozheng Huang, Chuanzhong Yin, Jinyang Li

“…This study develops a multi-objective optimization model for the coordinated allocation of shore power and berth scheduling, integrating economic benefits, environmental benefits, and operational efficiency. …”
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SymSwin: Multi-Scale-Aware Super-Resolution of Remote Sensing Images Based on Swin Transformers by Dian Jiao, Nan Su, Yiming Yan, Ying Liang, Shou Feng, Chunhui Zhao, Guangjun He

“…It is a challenging task due to the variations in object size and textures in remote sensing images. …”
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Advanced QT interval analysis in long-term electrocardiography using shape-based clustering and template matching: A novel approach for Holter monitoring by Kaoru Hatano, Tomohiro Takata, Mineki Takechi, Akane Wada, Hirohisa Taniguchi, Yuichi Tamura

“…Methods: We developed a novel QT interval analysis algorithm that integrates K-shape clustering with Dynamic Time Warping under Limited Warping Path Length for template matching. …”
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Evaluation of MODIS and VIIRS BRDF Parameter Differences and Their Impacts on the Derived Indices by Chenxia Wang, Ziti Jiao, Yaowei Feng, Jing Guo, Zhilong Li, Ge Gao, Zheyou Tan, Fangwen Yang, Sizhe Chen, Xin Dong

“…Then, we analyzed the sensitivity of the BRDF parameters to variations in Normalized Difference Hotspot–Darkspot (NDHD) and examined the spatiotemporal distribution of zero-valued pixels in the BRDF parameter products generated by the constraint method in the Ross–Li model from both sensors, assessing their potential impact on NDHD derivation. …”
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Prediction of Winter Wheat Yield and Interpretable Accuracy Under Different Water and Nitrogen Treatments Based on CNNResNet-50 by Donglin Wang, Yuhan Cheng, Longfei Shi, Huiqing Yin, Guangguang Yang, Shaobo Liu, Qinge Dong, Jiankun Ge

“…To address the limitations of conventional manual yield estimation methods, including low efficiency and poor interpretability, this study innovatively proposes an intelligent yield estimation method based on a convolutional neural network (CNN). …”
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Comprehensive Effects of Operation of Pumped-Storage Hydropower Plants on Downstream Conventional Hydropower Plants by ZHU De-kang, QIN Rui, CHENG Xiang, GUO Xu-ye

“…By integrating this method with the local grid’s time-of-use electricity pricing policy, a power generation scheduling model for conventional hydropower plants was established. …”
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Dynamic Spatial–Temporal Graph Neural Network for Cooling Capacity Prediction in HVDC Systems by Hao Sun, Shaosen Li, Jianxiang Huang, Hao Li, Guanxin Jing, Ye Tao, Xincui Tian

“…To address these challenges, we propose a novel framework that integrates Graph Neural Networks (GNNs) with temporal dynamics. …”
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From evaluation to innovation: Strengthening geospatial agricultural monitoring information system in Indonesia by Rizatus Shofiyati, Agnes Sondita Payani, Kustiyo Kustiyo, Muhammad Rokhis Khomarudin, Dede Dirgahayu, Fadhlullah Ramadhani, Muhammad Sulaiman Nur Ubay, Laju Gandharum, Heri Sadmono

“…All institutions follow standard preprocessing protocols, though variations exist in data input, applied methods, and output designs, reflecting tailored approaches. …”
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Advancing Meibography Assessment and Automated Meibomian Gland Detection Using Gray Value Profiles by Riccardo Forni, Ida Maruotto, Anna Zanuccoli, Riccardo Nicoletti, Luca Trimigno, Matteo Corbellino, Sònia Travé-Huarte, Giuseppe Giannaccare, Paolo Gargiulo

“…<b>Objective</b>: This study introduces a novel method for the automated detection and quantification of meibomian gland morphology using gray value distribution profiles. …”
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Effectiveness of Sound Field Corrections for High-Frequency Pressure Comparison Calibration of MEMS Microphones by Fabio Saba, María Campo-Valera, Davide Paesante, Giovanni Durando, Mario Corallo, Diego Pugliese

“…This study presents an advanced calibration methodology that integrates Finite Element Method (FEM) simulations with experimental corrections to improve the accuracy of pressure comparison calibrations using active couplers. …”
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Solar charging controller using DC-DC buck converter with cascaded PI controller for a sustainable renewable energy system by Nur Vidia Laksmi B., Muhammad Syahril Mubarok, Widi Aribowo, Susi Tri Umaroh, Sudirman Rizki Ariyanto, Ita Nurlita, Reza Rahmadian

“…The control parameters are determined using the Ziegler-Nichols method based on the reaction curve. A first -order system is employed due to the open-loop responses show no overshoot and oscillations. …”
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SCAR: Scrap Book based on Culturally Responsive Teaching Enriched with Augmented Reality by Yuniawatika Yuniawatika, Maytha Esterya Lumban Gaol, Ika Feny Nur Aini, Lailatul Fitriah, Edwin Maulana Sandya

“…The research and development (R&D) method is applied in this research, which applies the ASSURE model. …”
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Measuring Scaling Relations: Fitting Technique Matters by Bryanne McDonough, Olivia Curtis, Tereasa G. Brainerd

“…In this Letter, we compare variations of standard least-squares techniques to the ridge line method for identifying spatially resolved scaling relations (Σ _* −Σ _SFR , Σ _* −Σ _gas , and Σ _gas −Σ _SFR ) for TNG100 galaxies. …”
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