Submarine Cable Vibration Signal Recognition Based on Sparrow Search Algorithm Optimized Support Vector Machine by GUO Jiaxing, QIAN Junxia, LIU Rui, MA Hongjuan

“…Specifically, the accuracy of the test set reaches 95%, surpassing that achieved by other algorithm models.…”
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Combined Risk Stratification With Patient Characteristics and Biomarkers in Patients Treated With the Impella for Cardiogenic Shock by Yuichi Saito, Yuki Shiko, Kazuya Tateishi, Koichi Toda, Goro Matsumiya, Yoshio Kobayashi

“…Using logistic regression analysis, we incorporated patient characteristics and biomarkers to develop a risk‐stratifying model for in‐hospital mortality. The model was also tested if applicable to composite outcomes of in‐hospital death and major complications. …”
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Phosphorus recovery from domestic sewage sludge in the presence of waste grape pruning biochar by M. Piri, E. Sepehr

“…The results showed that the phosphorus - cumulative - release of composites in water good fitted the parabolic kinetic model (R2=0.97-0.99), whereas it followed the simple Elovich model (R2=0.86-0.92) in 0.5 mole per liter hydrochloric acid and first-order kinetics model (R2=0.76-0.92) in 20 gram per liter critic acid.CONCLUSION: The results indicated that the presence of grape-biochar for recovery of phosphorus from sludge as struvite had a good potential for increasing the release of nutrients for the formation of struvite, and these precipitates had a high potential to be used as a slow-release phosphorus-fertilizer.…”
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Population dynamics and monitoring applied to decision-making by M. J. Conroy, D. C. Lee

“…They also employ a ayesian approach and overcome some of the computational challenges by using Markov chain–Monte Carlo methods. Ring–recovery and harvest data are used to estimate fall age ratios under alternative reproductive models. …”
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Influence of fire characteristics on the associations between smoke PM2.5 exposure and acute cardiorespiratory health events by Calvin S. Riss, Sam D. Faulstich, Patrick S. Reuther, William J. Metcalf, Lyndsey A. Darrow, Heather A. Holmes, Matthew J. Strickland

“…Wildland fire smoke PM2.5 concentrations were determined using a novel approach that combined EPA monitor data, atmospheric dispersion modeling, fire emissions inventories, and Bayesian time-series modeling to estimate daily fire-specific smoke PM2.5 concentrations. …”
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Advanced Diagnostics of Aircraft Structures Using Automated Non-Invasive Imaging Techniques: A Comprehensive Review by Kostas Bardis, Nicolas P. Avdelidis, Clemente Ibarra-Castanedo, Xavier P. V. Maldague, Henrique Fernandes

“…Current aircraft inspection methods still need to be fully automated, making early detection and precise sizing of defects difficult. …”
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Medial open wedge osteotomy yields comparable stability to lateral open wedge procedure on the distal femur. by Roman Frederik Karkosch, Michael Schwarze, Tomas Smith, Maximilian Petri, Marc-Frederic Pastor, Hauke Horstmann

“…Our hypothesis was that there would be no difference regarding biomechanical outcome parameters between these two groups.<h4>Methods</h4>Medial and lateral open wedge osteotomies were performed in composite bone model as routine. …”
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Deep Learning-Based Identification of Echocardiographic Abnormalities From Electrocardiograms by Goro Fujiki, MD, Satoshi Kodera, MD, PhD, Naoto Setoguchi, MD, Kengo Tanabe, MD, PhD, Kotaro Miyaji, MD, PhD, Shunichi Kushida, MD, PhD, Mike Saji, MD, PhD, Mamoru Nanasato, MD, PhD, Hisataka Maki, MD, PhD, Hideo Fujita, MD, PhD, Nahoko Kato, MD, PhD, Hiroyuki Watanabe, MD, PhD, Minami Suzuki, MD, Masao Takahashi, MD, PhD, Naoko Sawada, MD, PhD, Jiro Ando, MD, Masataka Sato, MD, Shinnosuke Sawano, MD, PhD, Susumu Katsushika, MD, PhD, Hiroki Shinohara, MD, PhD, Norifumi Takeda, MD, PhD, Katsuhito Fujiu, MD, PhD, Hiroshi Akazawa, MD, PhD, Hiroyuki Morita, MD, PhD, Issei Komuro, MD, PhD

“…Conclusions: We have developed convolutional neural network models that predict a wide range of echocardiographic findings, including left-sided cardiac abnormalities, valvular heart diseases, and right-sided cardiac abnormalities from ECGs and created a model to predict a composite findings label by logistic regression analysis. …”
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Quantitative longitudinal investigation of non-alcoholic steatohepatitis in mice by photoacoustic microscopy by Jianshuang Wei, Ren Zhang, Mingchen Jiang, Lulu Gao, Ximiao Yu, XiuLi Liu, Yanfeng Dai, Qingming Luo, Zhihong Zhang, Xiaoquan Yang

“…In this study, we propose a longitudinal investigative pipeline based on liver photoacoustic microscopy (LPAM), integrating optical-resolution photoacoustic microscopy (OR-PAM), a modular liver window (MLW), a custom 3D-printed liver imaging mount (LIM), and a dedicated vessel-sinusoid separation and analysis method. This pipeline enabled continuous monitoring and quantitative assessment of microvascular changes in a NASH mouse model over a six-week period. …”
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Effect of the initial microstructure on the residual stress in the 20Cr₂Ni₄ gear steel subjected to laser shock peening and shot peening by HE Guoqi, XIE Yuanhao, HE Ying, ZOU Simin, WU Xu, PENG Lingjie, LUO Jiaqiang

“…ObjectiveThe influence of the initial surface topography on the residual compressive stress distribution along the depth direction of targets under laser shock peening (LSP) and shot peening (SP) processes was investigated.MethodsA finite element model for the composite strengthening of 20Cr₂Ni₄ gear steel was established using the finite element software. …”
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Deep learning-based sow posture classifier using colour and depth images by Verônica Madeira Pacheco, Tami M. Brown-Brandl, Rafael Vieira de Sousa, Gary A. Rohrer, Sudhendu Raj Sharma, Luciane Silva Martello

“…Future research can improve model accuracy and speed by expanding the database, exploring fused methods and computational models, considering different breeds of sows, and incorporating more postures. …”
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Photochemical aging of aviation emissions: transformation of chemical and physical properties of exhaust emissions from a laboratory-scale jet engine combustion chamber by A. Hartikainen, M. Ihalainen, D. Shukla, D. Shukla, M. Rohkamp, A. Mukherjee, Q. He, S. Piel, S. Piel, A. Virkkula, D. Li, T. Kokkola, S. Jeong, S. Jeong, H. Koponen, U. Etzien, A. Das, K. Luoma, L. Schwalb, T. Gröger, T. Gröger, A. Barth, M. Sklorz, T. Streibel, H. Czech, H. Czech, B. Gündling, M. Kalberer, B. Buchholz, A. Hupfer, T. Adam, T. Hohaus, J. Øvrevik, J. Øvrevik, R. Zimmermann, R. Zimmermann, O. Sippula, O. Sippula

“…The direct radiative forcing by the exhaust particles was estimated by a Mie model, which revealed a prominent shift from a warming to cooling climate effect upon photochemical aging. …”
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Accuracy Prediction of Compressive Strength of Concrete Incorporating Recycled Aggregate Using Ensemble Learning Algorithms: Multinational Dataset by Menghay Phoeuk, Minho Kwon

“…One such material, recycled aggregates, has been extensively studied over the past two decades for its potential to replace natural aggregates in cement-based composites. However, the unique properties of recycled aggregates make traditional concrete mix design methods ineffective in determining their target compressive strength. …”
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ECOSYSTEM AND BIOTIC DIVERSITY OF THE CASPIAN REGION by Galina N. Ogureeva

“…The created cartographic model can be the basis for an estimation of the ecosystem diversity of the region. …”
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The Absorption Colour of Organic Azo Compounds by Jürgen Fabian

“… Quantum chemical methods permit one to reveal scope and limitations of composite-molecule models formerly proposed to rationalize the absorption behaviour of azo compounds in the visible region. …”
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Investigating the effects of alkalization on mechanical properties of enset fibers using digital image correlation technique by Abebayehu Abdela, Bart Buffel, Belete Sirahbizu, Frederik Desplentere

“…The characterization of fiber level tensile properties is vital for conducting micromechanical analyses and developing mechanical models of materials and their composites. This characterization is significantly influenced by the precision of diameter estimations, as the load applied is derived from the measurements obtained from the testing machine. …”
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Mineralogy and sulfide mineral chemistry of Khabr iron ore, Southwest of Baft (Southeast of Sanandaj-Sirjan Zone) by Mohammad Boomeri, Habib Biabangard, Somayeh Dehghani Soltani, Azadeh Bordbar

“…The sulfide minerals are analyzed by the Electron Probe Micro Analyze (EPMA) model of JEOL. JXA-8600 with an accelerator voltage of 15kv and current of 2×10-8 A in Yamagata University.  …”
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Optimizing Photovoltaic Panel Performance: A Comparative Study of Meta-Heuristic Algorithms by M. Sundar Rajan

“…Our findings indicate that the HPSGWO algorithm achieves the lowest error rates and the highest efficiency, accuracy, and convergence speed across all tested PV models. This method was compared against other well-known algorithms such as Artificial Bee Colony (ABC), Dragonfly Algorithm (DA), Grey Wolf Optimizer (GWO), Cuckoo Search (CS), Composite Grey Wolf Optimizer (CGWO), and the standalone PSO and GWO methods. …”
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Autovole processes in deprivation plasma coatings by S.A. Guchenko, E.N. Eremin, V.M. Yurov, V.Ch. Laurinas, S.S. Kasimov, O.N. Zavatskaya

“… Autowave processes that arise when depositing plasma coatings are considered. Composite cathodes and stainless steel cathodes were used for the production of coatings. …”
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Modal Passport Concept for Enhanced Non-Destructive Monitoring and Diagnostics of Wind Turbine Blades by Aleksey Mironov, Pavel Doronkin, Aleksejs Safonovs

“…The first stage of the study is planned to be performed on a scale model on stationary and rotating test rigs. At this stage of the study, algorithms and methods for the formation of a roadmap to develop a modal passport for a series of composite models of a wind turbine blade are considered. …”
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