The Chemistry of Mercury in the Stratosphere by Alfonso Saiz‐Lopez, A. Ulises Acuña, Anoop S. Mahajan, Juan Z. Dávalos, Wuhu Feng, Daniel Roca‐Sanjuán, Javier Carmona‐García, Carlos A. Cuevas, Douglas E. Kinnison, Juan Carlos Gómez Martín, Joseph S. Francisco, John M. C. Plane

“…This dichotomy arises due to the coincidence of the mercury absorption at 253.7 nm with the ozone Hartley band maximum at 254 nm. We also find that stratospheric Hg oxidation, controlled by chlorine and hydroxyl radicals, is much faster than previously assumed, but moderated by efficient photo‐reduction of mercury compounds. …”
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AI-Driven Innovations for Early Sepsis Detection by Combining Predictive Accuracy With Blood Count Analysis in an Emergency Setting: Retrospective Study by Tai-Han Lin, Hsing-Yi Chung, Ming-Jr Jian, Chih-Kai Chang, Hung-Hsin Lin, Chiung-Tzu Yen, Sheng-Hui Tang, Pin-Ching Pan, Cherng-Lih Perng, Feng-Yee Chang, Chien-Wen Chen, Hung-Sheng Shang

“…Sepsis infection sources were confirmed through positive sputum, blood cultures, or FilmArray results. …”
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The use of large language models in detecting Chinese ultrasound report errors by Yuqi Yan, Kai Wang, Bojian Feng, Jincao Yao, Tian Jiang, Zhiyan Jin, Yin Zheng, Yahan Zhou, Chen Chen, Lin Sui, Xiayi Chen, Yanhong Du, Jie Yang, Qianmeng Pan, Lingyan Zhou, Vicky Yang Wang, Ping Liang, Dong Xu

“…Data from three hospitals (January-April 2024) including 400 reports with 243 errors across six categories were analyzed. Three GPT versions and Claude 3.5 Sonnet were tested in zero-shot settings, with the top two models further assessed in few-shot scenarios. …”
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Three-dimensional diffractive acoustic tomography by Luca Menozzi, Tri Vu, Aidan J. Canning, Harshal Rawtani, Carlos Taboada, Marie Elise Abi Antoun, Chenshuo Ma, Jesse Delia, Van Tu Nguyen, Soon-Woo Cho, Jianing Chen, Theresa Charity, Yirui Xu, Phuong Tran, Jun Xia, Gregory M. Palmer, Tuan Vo-Dinh, Liping Feng, Junjie Yao

“…Moreover, powered by the fast focal line volumetric reconstruction, 3D-DAT has achieved 50-fold faster reconstruction times than traditional photoacoustic imaging reconstruction. …”
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Optimization of Urban Fire Emergency Resource Allocation Based on Pre-Allocated Swarm Algorithm by Xiaolei Zhang, Kaigong Zhao, Shang Gao, Changming Li

“…The results demonstrate that the proposed model can effectively achieve the dual goals of minimizing transportation time and costs. Furthermore, the bee swarm algorithm exhibits advantages in convergence speed, allowing for the faster identification of ideal solutions, thereby providing a scientific basis for the rapid allocation of resources in urban fire emergency rescues.…”
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Power Quality Assessment and Optimization in FUZZY-Driven Healthcare Devices by Dinesh Kumar Nishad, Saifullah Khalid, Rashmi Singh

“…The reinforcement learning controller achieves 50% faster voltage sag restoration, 20% greater harmonic reduction, and 30% faster critical load recovery during outages compared to conventional methods. …”
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Evaluating the Influence of Execution Speed on Real-Time Simulation Accuracy: A Buck Converter Case Study by Jesus Camacho, Luis Ibarra, Pedro Ponce

“…This study challenges the idea that faster RTS always means lower error and demonstrates the potential of low-end digital devices for RTS.…”
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Lightweight Small Target Detection Algorithm Based on YOLOv8 Network Improvement by Xiaoyi Hao, Ting Li

“…The innovation of SFD-YOLOv8 is characterised by its incorporation of several pioneering modules, including the Dilation-wise Residual (DWR) attention module and the FasterBlock module. The modules have been designed to optimise feature extraction and improve model efficiency. …”
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Knowledge Distillation in Object Detection for Resource-Constrained Edge Computing by Arief Setyanto, Theopilus Bayu Sasongko, Muhammad Ainul Fikri, Dhani Ariatmanto, I. Made Artha Agastya, Rakandhiya Daanii Rachmanto, Affan Ardana, In Kee Kim

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Efficient Range Estimation in Beat Radio Interferometry by Bing Xu, Wangdong Qi, Li Wei, Su Zhang

“…Simulation results show that the FFT-based method asymptotically attains the CRLB and is orders of magnitude faster than currently available methods.…”
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Improving Sleep Disorder Diagnosis Through Optimized Machine Learning Approaches by Md. Atiqur Rahman, Israt Jahan, Maheen Islam, Taskeed Jabid, Md Sawkat Ali, Mohammad Rifat Ahmmad Rashid, Mohammad Manzurul Islam, Md. Hasanul Ferdaus, Md Mostofa Kamal Rasel, Mahmuda Rawnak Jahan, Shayla Sharmin, Tanzina Afroz Rimi, Atia Sanjida Talukder, Md. Mafiul Hasan Matin, M. Ameer Ali

“…We conducted two experiments. In the first one, we selected five key features from the feature spaces using the Gradient Boosting Regressor based on the Mean Decrease Impurity (MDI) technique. …”
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IRSnet: An Implicit Residual Solver and Its Unfolding Neural Network With 0.003M Parameters for Total Variation Models by Yuanhao Gong

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A New Hybrid MFO-WO Algorithm and Its Application to Design of FOPID/PID Controller for IoT Applications by Jailsingh Bhookya

“…Based on the comparative findings of various case studies, it is evident that the proposed hybrid MFO-WOA algorithm-based controller design outperforms other approaches in terms of performance.…”
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Development of Floating-Point MAC Engine for 2-D Convolution of Image by Ajay Kumar Sahu, Vishnumurthy Kedlaya K., Subramanya G. Nayak

“…A low power multiplier with reduced dynamic power, specifically when operating on pixels and a faster increment by one circuit based on AND-EXOR gate structures, has been proposed to improve the MAC architecture. …”
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D-stem mutation in an essential tRNA increases translation speed at the cost of fidelity. by Madison N Schrock, Krishna Parsawar, Kelly T Hughes, Fabienne F V Chevance

“…The LeuZ(A25G) substitution allowed for faster translation through all codon pairs tested that included the UCA codon. …”
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PAGR: Accelerating Global Routing for VLSI Design Flow by Roman A. Solovyev, Ilya A. Mkrtchan, Dmitry V. Telpukhov, Ilya I. Shafeev, Aleksandr Y. Romanov, Yevgeniy V. Stolbikov, Alexander L. Stempkovsky

“…This method slightly decreases result quality but finds solutions 2–10 times faster. We also detail our methods for parallel calculations and computing graph edge weights. …”
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Fitness landscapes of human microsatellites. by Ryan J Haasl, Bret A Payseur

“…By examining patterns of sequence variation among individuals, biologists are identifying genes and variants that affect fitness. Despite this progress, most population genetic methods for characterizing selection assume that variants mutate in a simple manner and at a low rate. …”
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Designing a Trust-Aware Reputation Model for Enhanced Data Quality in Human-Centric Sensing Systems by Konstantina Banti, Malamati Louta

“…Human-Centric Sensing (HCS) systems rely heavily on the participation of individuals using their mobile devices to gather data. …”
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Graph Coarsening Approach to the Vehicle Routing Problem: An Approximation Strategy by Katarzyna Nalecz-Charkiewicz, Arnav Das, Turbasu Chatterjee, Joshua Keene, Pawel Gora, Carlos C. N. Kuhn

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Comparison of Single and Ensemble Regression Model Workflows for Estimating Basal Area by Tree Size Class in Pine Forests of Southeastern U.S by Joseph St. Peter, Jason Drake, Paul Medley, Eben Broadbent, Gang Chen, Victor Ibeanusi

“…This study compares alternative methods for directly estimating basal area in three tree diameter classes that are relevant to timber operations and wildlife habitat planning in southern United States pine forests. Specifically, linear modeling, ensemble linear modeling (ELM) and ensemble general additive modeling (EGAM) were compared. …”
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