An Effective Algorithm for Collision Resolution in Security Policy Rules by Sergey V. Morzhov, Valeriy A. Sokolov

“…In addition, the authors present a new efficient algorithm for detecting and resolving collisions in firewall rules by the example of the Floodlight SDN controller.…”
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Performance Comparison of Data Reduction Techniques for Wireless Multimedia Sensor Network Applications by Pinar Sarisaray-Boluk, Kemal Akkaya

“…The experiment results indicated that the most energy-efficient BS algorithm could also provide the best quality in terms of the foreground detected. …”
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Technology Integration to Support Nurses in an “Inpatient Room of the Future”: Qualitative Analysis by Elizabeth R Stevens, Veronica Alfaro Arias, Son Luu, Katharine Lawrence, Lisa Groom

“…Analysis identified four major themes considered central to designing a technology-integrated inpatient room that enhances nursing workflow and experience: (1) the need for seamless integration of technologies advocating for a unified system that minimizes fragmented technology use and enhances efficiency; (2) the potential for technology to reduce cognitive load, alleviate mental strain, and streamline complex workflows; (3) a focus on enhancing interpersonal communication with specific emphasis on tools that facilitate clear and efficient communication among clinicians and with patients; and (4) the importance of improved staff well-being with design considerations aimed at promoting both physical and mental health for health care workers in the inpatient setting. …”
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A Multiagent Decision-Making Model for Martian Landing Site Selection by Rong Wang, Yongjiu Feng, Panli Tang, Pengshuo Li, Yiyan Dong, Yusheng Xu, Chao Wang, Sicong Liu, Yanmin Jin, Shijie Liu, Xiaohua Tong

“…Selecting suitable landing sites on Mars remains one of the key challenges due to the complex terrain of Mars and the diverse scientific objectives in Mars exploration missions. …”
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Pattern Recognition Methods and Features Selection for Speech Emotion Recognition System by Pavol Partila, Miroslav Voznak, Jaromir Tovarek

“…The purpose was to find an optimal combination of methods and group of features for stress detection in human speech. The research contribution lies in the design of the speech emotion recognition system due to its accuracy and efficiency.…”
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High-Throughput Indirect Monitoring of TORC1 Activation Using the pTOMAN-G Plasmid in Yeast by Melissa Gómez, Guilherme Rocha, Diego Ruiz, Claudio Martínez, Francisco Salinas, Eduardo Kessi-Pérez

“…This protocol proved to be an efficient alternative to assess TORC1 pathway activation compared to techniques based on immunoblot detection, which, although effective, are considerably more laborious. …”
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Spectrum‐sensing algorithm based on graph feature fusion by Shanshan Wu, Guobing Hu, Bin Gu

“…Thus, compared to existing algorithms, except block range‐ and energy‐detection‐based methods, the proposed algorithm demonstrates the best spectrum‐sensing performance under low SNRs and channel‐fading conditions, while achieving the lowest computational complexity. …”
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Extracellular electron transfer based methylotrophic methanogenesis in paddy soil and the prevalent Methanomassiliicoccus by Lingyan Li, Xuping Tian, Xuemeng Wang, Chuan Chen, Qi Zhou, Lei Qi, Jie Li, Kai Xue, Fangjie Zhao, Yanfen Wang, Xiuzhu Dong

“…Chronoamperometry detected efficient methane production by M. luminyensis CZDD1 and two paddy soils from methanol and dimethylarsenate in accompany with current consumption. …”
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Cardiovascular risk profile in patients with arterial hypertension who first seek medical attention by D. V. Nebieridze, T. V. Kamyshova, A. A. Sarycheva, A. S. Safaryan

“…After the risk assessment, all patients underwent an echo-cardiography, duplex ultrasonography screening of the brachiocephalic arteries and determination of microalbuminuria to detect target organ damage. According to results of a complex survey, the risk was reclassified based on the presence of target organ damage.Results. …”
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Single or multiple arterial grafting to design a coronary bypass: a retrospective study by A. V. Frolov, N. I. Zagorodnikov, R. S. Tarasov, E. V. Grigoriev

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Smart Clove Oil Distillation System using IoT and Ultrasonic Sensors by Ihwana As'ad, Andi Muhammad Rahmatullah, Syahrul Mubarak Abdullah, Fahmi Fahmi, Hariani Ma'tang Pakka, Andiyan Andiyan

“…Furthermore, the modular container design promotes gravity-assisted separation, enhancing energy efficiency and reducing mechanical complexity. The remote monitoring feature allows users to access real-time data on fluid levels and system status, ensuring reliable operation with minimal manual supervision. …”
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Correction of Wavefront Distortion in Common Aperture Optical Systems Based on Freeform Lens by Jiadong Yu, Xianglong Mao

“…The common aperture optical system enhances light utilization efficiency during the imaging process by utilizing a single shared aperture. …”
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Uses of Molecular Docking Simulations in Elucidating Synergistic, Additive, and/or Multi-Target (SAM) Effects of Herbal Medicines by Sean P. Rigby

“…The aim of this work was to review the uses of molecular-docking simulations in the detection and/or elucidation of SAM effects with herbal medicines. …”
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Recycling of Lithium Iron Phosphate Batteries: From Fundamental Research to Industrialization by Yue Wang, Xiaohong Zheng, Dingshan Ruan, Shili Zheng, Hongbin Cao, Changdong Li, Zhi Sun

“…It concludes that direct regeneration has greater application potentials but remains at an initial research stage while indirect regeneration is suitable for situations with complex raw materials or high-value resource reserves. …”
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Fast Reflectance Spectral Profile Reconstruction Method for Full-waveform Hyperspectral LiDAR by Hui SHAO, Hulong ZHANG, Hui DAI, Yuwei CHEN, Long SUN, Heng XU, Xingyun LI

“…To obtain the target reflectance spectral profile, a common solution is to correct the echo intensity (standard reference correction method) using standard diffuse reflectance whiteboards. However, in complex detection environments, whiteboards are susceptible to contamination, and the transmitting intensity of the laser may fluctuate due to changes in the environment and equipment conditions, which may potentially impact the calculation accuracy. …”
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The Implementation of the Askisi-SD Neuropsychological Web-Based Screener: A Battery of Tasks for Screening Cognitive and Spelling Deficits of Children by Nikolaos C. Zygouris, Eugenia I. Toki, Filippos Vlachos, Stefanos K. Styliaras, Nikos Tziritas

“…The web-based nature of the screener enables scalable and standardized administration, making it a practical and efficient tool for the early identification of spelling difficulties in children.…”
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Bottom Trawling and Multi‐Marker eDNA Metabarcoding Surveys Reveal Highly Diverse Vertebrate and Crustacean Communities: A Case Study in an Urbanized Subtropical Estuary by Jack Chi‐Ho Ip, Hai‐Xin Loke, Sam King Fung Yiu, Meihong Zhao, Yixuan Li, Yitao Lin, Chun‐Ming How, Jiezhang Mo, Meng Yan, Jinping Cheng, Vincent Chi‐Sing Lai, Leo Lai Chan, Kenneth Mei Yee Leung, Jian‐Wen Qiu

“…Furthermore, there was a positive correlation between eDNA read counts and trawl catch, but their correlation coefficient was low. We conclude that eDNA metabarcoding can provide high‐resolution detection of species, composition, and unravel community–environment relationships in estuarine ecosystems. …”
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Comparing Raman and NanoSIMS for heavy water labeling of single cells by George A. Schaible, John B. Cliff, Jennifer A. Crandall, Jeremy J. Bougoure, Michael N. Mathuri, Alex L. Sessions, Joseph Atwood, Roland Hatzenpichler

“…ABSTRACT Stable isotope probing (SIP) experiments in conjunction with Raman microspectroscopy (Raman) or nano-scale secondary ion mass spectrometry (NanoSIMS) are frequently used to explore single cell metabolic activity in pure cultures as well as complex microbiomes. Despite the increasing popularity of these techniques, the comparability of isotope incorporation measurements using both Raman and NanoSIMS directly on the same cell remains largely unexplored. …”
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Advanced predictive disease modeling in biomedical IoT using the temporal adaptive neural evolutionary algorithm by Chandragandhi S, Arvind C, Srihari K

“…Abstract Biomedical IoT, predictive modeling, disease diagnosis, and temporal data analysis have become essential components in modern healthcare systems. Accurate and efficient predictive disease modeling is crucial in biomedical IoT for early detection and intervention, yet existing models like LSTM and XGBoost face limitations in handling the complexity and temporal nature of health data streams. …”
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A robust covariate‐invariant gait recognition based on pose features by Anubha Parashar, Apoorva Parashar, Rajveer Singh Shekhawat

“…Abstract Gait recognition uses video of human gait processed by computer vision methods to identify people based on walking style. The complexity introduced by covariates makes the previous methods less efficient and inaccurate. …”
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