Using RE-AIM to inform the adaptation of a clinical decision support application for hypertension disorders of pregnancy: a qualitative study of provider perspectives by Shannon Marie Canfield, Yarrow Stanley, Parijat Ghosh, Amy Braddock, Randi Foraker

“…Home BP monitoring could aid in timely risk assessment, early detection of complications, and medication adjustments. …”
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Cultural Heritage and Local Self-Government (Case Study of Svetlanovsky Municipality St. Petersburg) by V. A. Semenov, V. V. Ereshkin

“…Petersburg, within the territory of the municipality there are both individual historical monuments and complex cultural heritage ensembles, which include many parts of the ensemble, which in turn, are individual historical monuments.At the same time, while there is a comprehensive approach to the preservation of the heritage of St. …”
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Introducing HeliEns: A Novel Hybrid Ensemble Learning Algorithm for Early Diagnosis of <i>Helicobacter pylori</i> Infection by Sultan Noman Qasem

“…Recent advancements in machine learning (ML) and quantum machine learning (QML) offer promising non-invasive alternatives capable of analyzing complex datasets to identify patterns not easily discernible by human analysis. …”
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Deep sequencing of yeast and mouse tRNAs and tRNA fragments using OTTR by Hans Tobias Gustafsson, Lucas Ferguson, Carolina Galan, Tianxiong Yu, Heather Upton, Ebru Kaymak, Zhiping Weng, Kathleen Collins, Oliver J Rando

“…Applying this protocol to mature mouse spermatozoa, our data dramatically alter our understanding of the small RNA cargo of mature mammalian sperm, revealing a far more complex population of tRNA fragments – including both 5′ and 3′ tRNA halves derived from the majority of tRNAs – than previously appreciated. …”
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Active peptides of TSP-1 inhibit retinal angiogenesis through the CD36 pathway in a rat model of choroidal neovascularization. by Yadi Li, Aiping Deng, Kangwei Jiao, Jie Yan, Wandong Zuo, Yujie Dong, Wenrong Xu, Yuting Li, Chunming Guo, Maorong Chen, Run Tian, Zhulin Hu

“…Furthermore, VR-13 peptide effectively inhibited the pathological development of CNV without the detection of retinal toxicity in the rat CNV model.…”
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PATH PLANNING AND OBSTACLE AVOIDANCE METHODS FOR AUTONOMOUS MOBILE ROBOTS by Ihor Berizka

“…Important characteristics of obstacle detection and avoidance algorithms include convergence, computation time, and memory requirements in the system. …”
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A Systematic Review of the Advances and New Insights into Copy Number Variations in Plant Genomes by Saimire Silaiyiman, Jiaxuan Liu, Jiaxin Wu, Lejun Ouyang, Zheng Cao, Chao Shen

“…The advancement in sequencing technologies has made the detection and analysis of CNVs more efficient, not only revealing their crucial roles in plant disease resistance, adaptability, and growth development, but also demonstrating broad application potential in crop improvement, particularly in selective breeding and genomic selection. …”
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APPLICATION OF HYBRID MEMETIC ALGORITHM IN OPTIMAL CONTROL NONLINEAR STOCHASTIC SYSTEMS WITH INCOMPLETE FEEDBACK PROBLEMS by A. V. Panteleev, V. N. Panovskiy

“…Several alternative forms of parametrization are considered: in the form of expansion by Legendre polynomials system and in the form of cosine-waves. The efficiency of the proposed algorithms was analyzed by means of created software complex. …”
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Quantum chimp-enanced SqueezeNet for precise diabetic retinopathy classification by Anas Bilal, Muhammad Shafiq, Waeal J. Obidallah, Yousef A. Alduraywish, Alishba Tahir, Haixia Long

“…Firstly, SqueezeNet enables efficient feature extraction from segmented fundus images with minimal computational complexity, ensuring that critical retinal features are captured effectively. …”
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Intersection collision prediction and prevention based on vehicle-to-vehicle (V2V) and cloud computing communication by Min Zeng, Mohd Sani Mohamad Hashim, Mohd Nasir Ayob, Abdul Halim Ismail, Qiling Zang

“…In modern transportation systems, the management of traffic safety has become increasingly critical as both the number and complexity of vehicles continue to rise. These systems frequently encounter multiple challenges. …”
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Path Planning for Lunar Rovers in Dynamic Environments: An Autonomous Navigation Framework Enhanced by Digital Twin-Based A*-D3QN by Wei Liu, Gang Wan, Jia Liu, Dianwei Cong

“…A high-fidelity digital twin simulation environment integrates a YOLOv5-based multimodal perception system for real-time obstacle detection and distance estimation. Experimental validation across low-, medium-, and high-complexity scenarios demonstrates superior performance: the method achieves shorter paths, zero collisions in dynamic settings, and 30% faster convergence than baseline D3QN. …”
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Adaptive Waveform Design for Multiple Radar Tasks Based on Constant Modulus Constraint by Wang Bin, Yang Wenfang, Wang Jinkuan

“…We propose a waveform design method which can efficiently synthesize waveforms and provide a trade-off between estimation performance and detection performance. …”
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Solutions on Establishing and Utilizing BIM for General Contractors in Key Scenarios of Digital Construction by Yang Peng, Fangqiang Yu, Ming Zhang, Jinglin Xu, Shang Gao

“…Third, the new model storage and indexing method are designed to reduce the complexity of model data and support rapid data retrieval, and a new BIM change detection method based on object metadata is provided. …”
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Energy aware computer vision algorithm deployment on heterogeneous architectures by Teymoor Ali, Deepayan Bhowmik, Robert Nicol

“…Abstract Computer vision algorithms, specifically convolutional neural networks (CNNs) and feature extraction algorithms, have become increasingly pervasive in many vision tasks. As algorithm complexity grows, it raises computational and memory requirements, which poses a challenge to embedded vision systems with limited resources. …”
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Electromagnetic Scattering of Electrically Large Ship above Sea Surface with SBR-SDFM Method by Lixin Guo, Tiantian Feng

“…Thus, scattering properties of composite ship-ocean scenes with influence of various parameters (such as incident angle and wind speed) can be studied and analyzed efficiently. Studying such properties is of significance for target detection and high-resolution radar imaging in sea environments. …”
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An Improved U-Net-Based Framework for Estimating River Surface Flow Velocity by 周继威, 安国成, 王根一

“…Objective Accurate estimation of river surface flow velocity is critical for optimizing hydropower generation efficiency and enhancing flood warning systems. Existing deep learning models face challenges in generalization due to limited training samples and data heterogeneity across complex river environments. …”
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High-Performance Room-Temperature Terahertz Photodetection Using 2-Dimensional Electron Gas Channel Transport by Mengjuan Liu, Yongzhen Li, Ziyang Ren, Yao Wang, Haiming Zhu, Qinxi Qiu, Nasir Ali, He Zhu, Jiaqi Zhu, Weien Lai, Zhiming Huang, Huizhen Wu

“…However, the state-of-the-art detection strategies are still limited by issues such as low sensitivity, narrow response range, slow response speed, complex fabrication techniques, and difficulties in scaling up to large arrays. …”
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Recent Advances in the Fabrication and Application of Electrochemical Paper-Based Analytical Devices by Zarfashan Shahid, Kornautchaya Veenuttranon, Xianbo Lu, Jiping Chen

“…This review traces the evolution of ePADs from simple designs to complex multilayered structures that optimize analyte flow and improve detection. …”
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Comparison of Manhattan and Chebyshev Distance Metrics in Quantum-Based K-Medoids Clustering by Solikhun Solikhun, Muhammad Rahmansyah Siregar, Lise Pujiastuti, Mochamad Wahyudi, Deny Kurniawan

“…Therefore, Manhattan distance is more recommended for medical applications that require the detection of more positive cases, while Chebyshev is more efficient for scenarios that prioritize accuracy and cost.…”
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Acoustic monitoring with miniature drones shows reduced Myotis bat occurrence with altitude and drone movement by Lauren Dobie, David M. Bird, Kyle H. Elliott

“…We investigate how habitat, drone altitude, and drone movement influence bat sampling efficiency. A hovering drone detected more bats per minute than a moving drone for the EPNO complex (Eptesicus fuscus and Lasionycteris noctivagans) and all bats. …”
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