Annual Simulation of Phase Change Materials for Enhanced Energy Efficiency and Thermal Performance of Buildings in Southern California by Yiu Chan, Thomas Hoke, Kevin Meredith, Xi Chen

“…As thermal conductivity increases from 0.2 W m⁻¹ K⁻¹ to 3 W m⁻¹ K⁻¹, energy consumption in Riverside decreases by about 5%, whereas in Palm Springs, with its hotter summer temperatures, energy consumption increases. The optimal parameters yielded a total annual energy savings rate of 35.24% in Riverside and 18.52% in Palm Springs using the basic method and 35.47% in Riverside and 22.13% in Palm Springs using the hysteresis method. …”
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Rapid, Multi-Sample Assay of Gabapentin in Capsules Using Easy-to-Setup and Low-Cost Smartphone-Based Fluorescence Measurement by Thana Thanayutsiri, Thapakorn Charoenying, Supusson Pengnam, Praneet Opanasopit, Tanasait Ngawhirunpat, Akhayachatra Chinsriwongkul, Theerasak Rojanarata

“…While fluorometric methods exist, they also employ expensive fluorometers. …”
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Compensation of parasitic elements of transistor in the class F amplifier with the tuning of impedances at harmonics by A. P. Yefymovych, V. G. Krizhanovski

“…The system is solved numerically relative to the three parameters of the OLC, for which the impedance on a chip of the transistor (on COUT) for odd and even harmonics corresponds to the theory of class F PAs. This method is applicable for the calculation of the OLC, which is realized in the frequency range of 300–500 MHz, where the use of elements with lumped parameters only is not always possible, while using elements with distributed parameters leads to a substantial increase in the size of the whole amplifier. …”
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Block-Level Matching Recognition Algorithm for OpenStreetMap and Segments From High-Resolution Remote Sensing by Fan Shen, Jianyu Chen, Yu Shen, Zhao Gun, Qiankun Zhu

“…The effectiveness of segmentation algorithms influences the results, necessitating the selection of algorithms based on specific scenarios. While different combinations of matching factors do not significantly alter the outcomes, region-specific conditions may require testing various combinations to optimize performance. …”
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Two-beam laser purification of quartz raw material by V. A. Emelyanov, E. B. Shershnev, S. I. Sokolov

“…The temperature distribution to a depth of 50 microns is almost the same when using both methods of solution, while with increasing depth the temperature difference increases by 10 %, which allows using both methods of solution, since in practice the temperature distribution in the near-surface layers,  which  determines  the  formation  of  agglomerates  with  impurity  inclusions,  is  more  important. …”
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Enhanced Grounding DINO: Efficient Cross-Modality Block for Open-Set Object Detection in Remote Sensing by Zibo Hu, Kun Gao, Jingyi Wang, Zhijia Yang, Zefeng Zhang, Haobo Cheng, Wei Li

“…However, little research has focused on improving their computational efficiency while maintaining model performance. This article addresses this gap by proposing an enhanced grounding DINO to optimize the neck network, reducing computational complexity while preserving model performance. …”
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Adaptive Multi-Robot Exploration for Unknown Environments Using Edge-Weighted Path Planning by Farhad Baghyari, Tyler Parsons, Jaho Seo, Byeongjin Kim, Mingeuk Kim, Hanmin Lee

“…Existing centralized approaches struggle with scalability, while decentralized methods often incur high computational costs and inefficient task coordination. …”
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Nitrogen‐based proximal sensing and data fusion for management zone delineation by Md Tawhid Hossain, Marco Donat, Ines Astrid Tougma, Sonoko D. Bellingrath‐Kimura, Kathrin Grahmann

“…FarmLab estimated NO3− and SMN were higher than laboratory results (p < 0.05), whereas SM showed no significant difference between the two methods. Bland–Altman analysis, which assesses the limit of agreement between methods to ensure consistency, revealed significant discrepancies in NO₃⁻ estimated by both methods, particularly in Field‐B, with limits of agreement ranging from −17.40 to 29.66 mg kg−1. …”
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Inspiring Social Capital Through Community Green Space: Pathways and Implications by Lin YE, Shi HE, Yinghao LI, Zhaohui YAN, Lei HUANG

“…Under China’s precision governance paradigm emphasizing data-driven policymaking, this research systematically investigates the operational mechanisms through which community green spaces inspire social capital, incorporating both grassroots practices and institutional innovations, based on which evidence-based optimization strategies for urban renewal practices are proposed.MethodsThis research combines visual mapping analysis based on CitieSpace software with a number of inductive and deductive review methods. …”
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Hybrid feature selection for real-time road surface classification on low-end hardware: A machine learning approach by Cong Ngo Van, Duc-Nghia Tran, Ton That Long, Nguyen Gia Minh Thao, Duc-Tan Tran

“…Accurately classifying road surface conditions is crucial for maintaining road safety and facilitating effective maintenance. Vibration-based methods have proven effective in this field, utilizing vehicle vibration patterns to determine road surface conditions. …”
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Joint feature selection and classification of low-resolution satellite images using the SAT-6 dataset by Rajalaxmi Padhy, Sanjit Kumar Dash, Jibitesh Mishra

“…So, an effective method is required with high accuracy and stability. …”
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Simultaneous two-team transorbital neuroendoscopic approach for sphenoid wing meningioma by Lien Deschuytere, Estelle Beneke, Byron De John, Darlene Lubbe

“…Contribution: This technique offers a practical and safe solution to streamline complex multiportal surgeries while maintaining optimal clinical outcomes.…”
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Implementation and enforcement of mandatory calorie labelling regulations for the out-of-home sector in England: Qualitative study of the experiences of business implementers and r... by Michael Essman, Tom Bishop, Thomas Burgoine, Andrew Jones, Megan Polden, Eric Robinson, Richard Smith, Jean Adams, Martin White

“…<h4>Conclusions</h4>These findings underscore the need for central guidance, verification of adherence, and sufficient enforcement resources. To optimize policy success, future developments should consider economic contexts, customer expectations, and policy refinement, while recognizing common industry arguments against policy implementation.…”
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Disease Detection Algorithm for Tea Health Protection Based on Improved Real-Time Detection Transformer by Zhijie Lin, Zilong Zhu, Lingling Guo, Jingjing Chen, Jiyi Wu

“…Faster-LTNet employs partial convolution and hierarchical design to optimize computational resources, while the CG Attention Module enhances multi-head self-attention by introducing grouped feature inputs and cascading operations to reduce redundancy and increase attention diversity. …”
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Application of TRPS1 in ER-negative or low expression distant metastatic breast carcinoma by Runze Zhang, Jing Liu, Lei Jiang, Zhiqiang Lang

“…The combined application of TRPS1 and GATA3 is the optimal method to confirm that ER-negative or low-expression distant metastatic carcinoma originates from the breast.…”
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Rapid Recovery and Short‐Term Culture of Gastric Circulating Tumor Cells Using Microcavity Array by Tomoko Yoshino, Tomohiro Takabayashi, Qian Bao, Tsuyoshi Tanaka, Ryo Negishi, Tatsu Shimoyama, Takeshi Sawada, Yusuke Kanemasa, Fumiaki Koizumi

“…Comparative analyses showed that the MCA method provided superior recovery efficiency and reduced processing time compared to traditional methods such as density gradient centrifugation (DGC), while maintaining cell viability and proliferative capacity. …”
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The reduction of the standard of census route length using double lamination of sample by V. M. Glushkov

“…When cut across all strata of 50% (total ratio 0.92 km) the result is negative (SE = 11.3%). The optimal total ratio is 1.0 km/ 1 thousand hectares, while the norm in the minimum density strata is 0.6 km / 1 thousand ha. …”
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Mixed reality for midwifery students: a qualitative study of the technology’s perceived appropriateness in the classroom by Linda Wike Ljungblad, Dooley Murphy, Hannah Elisabeth Fonkalsrud

“…Conclusions The study concludes that mixed reality can be a valuable supplement to existing teaching methods and tools. Students expressed optimism about mixed reality’s potential to enhance educational outcomes. …”
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A Composite Network for CS ISAR Integrating Deep Adaptive Sampling and Imaging by Lianzi Wang, Ling Wang, Miguel Heredia Conde, DaiYin Zhu

“…However, the existing CS ISAR imaging methods based on deep learning (DL) mainly focus on improving the performance of the reconstruction algorithm while ignoring the potential room for improvement given by the design of the measurement matrix. …”
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Wide-Range Variable Cycle Engine Control Based on Deep Reinforcement Learning by Yaoyao Ding, Fengming Wang, Yuanwei Mu, Hongfei Sun

“…To solve this problem, this paper adopts a deep reinforcement learning method based on a deep deterministic policy gradient algorithm, and it applies an action space pruning technique to optimize the controller, which significantly improves the convergence speed of network training. …”
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