Review of Acoustic Emission Detection Technology for Valve Internal Leakage: Mechanisms, Methods, Challenges, and Application Prospects by Dongjie Zheng, Xing Wang, Lingling Yang, Yunqi Li, Hui Xia, Haochuan Zhang, Xiaomei Xiang

“…Acoustic emission (AE) technology, functioning as an efficient non-destructive testing approach, is capable of capturing the transient stress waves induced by leakage, thereby furnishing an effective means for the real-time monitoring and quantitative assessment of internal leakage within the valve body. …”
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Slot Optimization Based on Coupled Airspace Capacity of Multi-Airport System by Sichen Liu, Shuce Wang, Minghua Hu, Lei Yang

“…This study develops a multi-objective optimization model incorporating coupled airspace capacity relationships within multi-airport systems and the fairness of airlines and airports in order to realize the optimal utilization of multi-airport system resources, considering specialized 24 h airport slot coordination parameter patterns and slot firebreaks in China. Finally, the validity and scalability of the model are verified using real flight data from three airports in the Beijing airport terminal area, and simulations are conducted to verify the model. …”
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Large system study of chalcopyrite and pyrite flotation surfaces based on SCC-DFTB parameterization method by Jianhua Chen, Yibing Zhang

“…In this study, we employed the self-consistent charge density functional tight-binding (SCC-DFTB) parameterization method to develop a parameter set, CuFeOrg, which includes the interactions between Cu-Fe-C-H-O-N-S-P-Zn elements, to investigate the surface interactions in large-scale flotation systems of chalcopyrite and pyrite. …”
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Harnessing feature pruning with optimal deep learning based DDoS cyberattack detection on IoT environment by Eunmok Yang, Sooyong Jeong, Changho Seo

“…They are vulnerable to different cyber threats that can compromise the functionality and security of urban systems. Distributed Denial of Service (DDoS) attacks are among IoT networks’ most challenging and destructive cyber threats. …”
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Deep Learning-Augmented Evolutionary Strategies for Intelligent Global Optimization by Absalom El-Shamir Ezugwu, Olaide Nathaniel Oyelade, Jeffrey Ovre Agushaka, Apu Kumar Saha

“…The algorithm’s performance was evaluated using CEC 2017 benchmark functions, demonstrating superior results in hybrid functions (C1-C28) despite moderate performance on traditional CEC1-CEC14 functions. …”
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Hybrid Approach of Finite Element Method, Kigring Metamodel, and Multiobjective Genetic Algorithm for Computational Optimization of a Flexure Elbow Joint for Upper-Limb Assistive D... by Duc Nam Nguyen, Thanh-Phong Dao, Ngoc Le Chau, Van Anh Dang

“…And then, the Kigring metamodel is used as a black-box to find the pseudoobjective functions. Based on pseudoobjective functions, the MOGA is applied to find the optimal solutions. …”
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Computational modeling of superparamagnetic nanoparticle-based (affinity) diagnostics by Loïc Van Dieren, Loïc Van Dieren, Loïc Van Dieren, Loïc Van Dieren, Loïc Van Dieren, Antoine A. Ruzette, Vlad Tereshenko, Haïzam Oubari, Haïzam Oubari, Haïzam Oubari, Yanis Berkane, Yanis Berkane, Jonathan Cornacchini, Jonathan Cornacchini, Filip Thiessen EF, Filip Thiessen EF, Filip Thiessen EF, Filip Thiessen EF, Curtis L. Cetrulo, Curtis L. Cetrulo, Curtis L. Cetrulo, Curtis L. Cetrulo, Korkut Uygun, Korkut Uygun, Alexandre G. Lellouch, Alexandre G. Lellouch, Alexandre G. Lellouch, Alexandre G. Lellouch, Alexandre G. Lellouch, Alexandre G. Lellouch

“…Superparamagnetic IONPs, which exhibit magnetization only in the presence of an external field, can be functionalized with ligands for targeted affinity diagnostics. …”
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Towards Smart Pest Management in Olives: ANN-Based Detection of Olive Moth (<i>Prays oleae</i> Bernard, 1788) by Tomislav Kos, Anđelo Zdrilić, Dana Čirjak, Marko Zorica, Šimun Kolega, Ivana Pajač Živković

“…This study aims to develop a functional model based on an artificial neural network to detect olive moths in real time. …”
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Results of treatment of optic disc pit maculopathy in children by L. A. Katargina, E. V. Denisova, N. A. Osipova, Ya. A. Kiseleva

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The usage of power system multi-model forecasting aided state estimation for cyber attack detection by I. A. Lukicheva, A. L. Kulikov

“…In particular, when a real measurement is replaced by a false one by a malefactor or a failure in the functioning of communication channels occurs, it is possible to detect false data and restore them. …”
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In-Silico Investigation of Photovoltaic Performance of MgXS3 (X = Ti and Zr) Chalcogenide Perovskites Compounds by M.A. Olopade, O.O. Oyebola, R.O. Balogun, A.D. Adewoyin, A.B. Adegboyega

“…First-principles density functional formulation was used to explore the electronic and optical properties of magnesium chalcogenides sulfides, MgXS3 (X = Ti and Zr), which compose of magnesium titanium sulfide, MgTiS3, and magnesium zirconium sulfide, MgZrS3. …”
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Poisson random measure noise-induced coherence in epidemiological priors informed deep neural networks to identify the intensity of virus dynamics by Saima Rashid, Ayesha Siddiqa, Fekadu Tesgera Agama, Nazeran Idrees, Mohammed Shaaf Alharthi

“…The study depends on two functional scenarios to quantitatively clarify the theoretical results. …”
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Individually Modified Microneedle Array for Minimal Invasive Multi-Electrolyte Monitoring by Ketian Yu, Yukun Ma, Yiming Wei, Wanying Chen, Zhen Dai, Yu Cai, Xuesong Ye, Bo Liang

“…Electrolytes play crucial roles in regulating nerve and muscle functions. Currently, microneedle technology enables real-time electrolyte monitoring through minimally invasive methods. …”
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Advanced smart assistance with enhancing social interaction and daily activities for visually impaired individuals using deep learning with modified seagull optimization by Sana Alazwari, Hussah Nasser AlEisa, Mohammed Rizwanullah, Radwa Marzouk

“…Abstract Visually impaired individuals face daily challenges in social engagement and routine activities due to limited access to real-time environmental information. Damage detection is a common approach in infrastructure that combines steel and concrete reinforcement to achieve optimal durability and structural strength. …”
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L&#x00E9;vy Flight Shuffle Frog Leaping Algorithm Based on Differential Perturbation and Quasi-Newton Search by Xinming Zhang, Zihao Fu, Haiyan Chen, Wentao Mao, Shangwang Liu, Guoqi Liu

“…The results on medical image enhancement and Quadratic Assignment Problem (QAP) also show that DQLSFLA can solve the real word optimization problems better than LSFLA can.…”
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Multi-Channel Coupled Variational Bayesian Framework with Structured Sparse Priors for High-Resolution Imaging of Complex Maneuvering Targets by Xin Wang, Jing Yang, Yong Luo

“…A variational Bayesian inference (VBI) approach is developed for efficient parameter estimation and robust image recovery. Experimental results on both simulated and real-measured data demonstrate that the proposed method achieves significantly improved image resolution and noise robustness compared with existing approaches, particularly under conditions of sparse sampling or strong interference. …”
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Bayesian estimation of pore size distribution in porous carbon using a novel GCMC-based kernel incorporating surface roughness by Shotaro Hiraide, Naruaki Fuse, Kohei Yamamoto, Hideki Tanaka, Kazuyuki Nakai, Satoshi Watanabe

“…Comprehensive tests with synthetic data featuring known PSDs, atomistic carbon models, and real porous carbons reveal several key findings. …”
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Light scattering and microphysical properties of atmospheric bullet rosette ice crystals by S. W. Wagner, S. W. Wagner, M. Schnaiter, M. Schnaiter, M. Schnaiter, G. Xu, G. Xu, F. Rogge, F. Rogge, E. Järvinen, E. Järvinen

“…Here, the link between the crystal morphology of atmospheric bullet rosettes and their radiative properties in the form of the asymmetry parameter (<span class="inline-formula"><i>g</i></span>) is experimentally investigated using correlated high-resolution in situ stereo images of individual rosettes and their corresponding angular scattering functions measured by the airborne Particle Habit Imaging and Polar Scattering (PHIPS) cloud probe. …”
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BASSET: Bandpass-adaptive Single-pulse Search Toolkit—Optimized Subband Pulse Search Strategies for Faint Narrowband Fast Radio Bursts by J. H Cao, P. Wang, D. Li, Q. H. Pan, K. Mao, C. H. Niu, Y. K. Zhang, Q. Y. Qu, W. J. Lu, J. S. Zhang, Y. H. Zhu, Y. D. Wang, H. X. Chen, X. L. Chen, J. H. Fang, Y. Feng, H. Gao, Y. F. Huang, J. Li, C. C. Miao, C. W. Tsai, J. M. Yao, S. P. You, R. S. Zhao, Q. Z. Liu, S. M. Weng, S. H. Yew, J. Zhang, L. Zhang, E. Gügercinoğlu, D. K. Zhou, W. W. Zhu

“…The BASSET algorithm was applied to the FAST real data set of FRB 20190520B, resulting in the discovery of additional 79 pulses through reprocessing. …”
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Multiple Solutions of Fractional Kazdan–Warner Equation for Negative Case on Finite Graphs by Liang Shan, Yang Liu

“…Our main focus lies in analyzing the nonlinear equation defined on a finite graph <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>(</mo><mi>V</mi><mo>,</mo><mi>E</mi><mo>,</mo><mi>μ</mi><mo>,</mo><mi>w</mi><mo>)</mo></mrow></semantics></math></inline-formula>: <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mrow><mo>(</mo><mo>−</mo><mo>Δ</mo><mo>)</mo></mrow><mi>s</mi></msup><mi>u</mi><mo>=</mo><mrow><mo>(</mo><mi>K</mi><mo>+</mo><mi>λ</mi><mo>)</mo></mrow><msup><mi>e</mi><mrow><mn>2</mn><mi>u</mi></mrow></msup><mo>−</mo><mi>κ</mi><mspace width="1.em"></mspace><mi>in</mi><mspace width="4pt"></mspace><mi>V</mi><mo>,</mo></mrow></semantics></math></inline-formula> where the fraction <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>s</mi><mo>∈</mo><mo>(</mo><mn>0</mn><mo>,</mo><mn>1</mn><mo>)</mo></mrow></semantics></math></inline-formula> and real parameter <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>λ</mi></semantics></math></inline-formula> are given, and the graph functions <i>K</i> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>κ</mi></semantics></math></inline-formula> satisfy <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>max</mi><mrow><mi>x</mi><mo>∈</mo><mi>V</mi></mrow></msub><mi>K</mi><mrow><mo>(</mo><mi>x</mi><mo>)</mo></mrow><mo>=</mo><mn>0</mn></mrow></semantics></math></inline-formula>, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>K</mi><mo>≢</mo><mn>0</mn></mrow></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mo>∫</mo><mi>V</mi></msub><mi>κ</mi><mi>d</mi><mi>μ</mi><mo><</mo><mn>0</mn></mrow></semantics></math></inline-formula>. …”
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