<p><strong>The underwater survival of adult and larval stages of <em>Argas persicus</em></strong><strong><em> </em></strong><strong>(Acari: Argasidae)</strong></p> by Mousa Tavassoli, Zahra Rezanejad Sabeghi, Behnaz Ghorbanzadeh, Shokoofeh Shamsi, Jafar Arjmand, Mostafa Golabi

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Adaptation of deep learning models to distinguish species with strongly overlapping characteristics: the example of spores of the genus Riccia by Stefan Herdy, Martina Pöltl, Christian Berg, Bettina Weber

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Partner relationships, hopelessness, and health status strongly predict maternal well-being: an approach using light gradient boosting machine by Hikaru Ooba, Jota Maki, Takahiro Tabuchi, Hisashi Masuyama

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Machine learning revealed giant thermal conductivity reduction by strong phonon localization in two-angle disordered twisted multilayer graphene by Jingwen Wang, Zheng Zhu, Tianran Jiang, Ke Chen

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Investigation of Obtaining Highly-Strong Wire of 12X18H10T-Steei by Drawing Method with Electrolyte-Plasma Surface Machining by L. A. Isaevich, Yu. G. Aliakseyeu, A. Yu. Korolyov

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Analysis on the difference of volatile flavor components in strong-flavor Baijiu base liquor with different grades by YUE Xiaolin, XIANG Shuangquan, QIAN Yu, LIAN Shengqiang, YANG Guorui, LAN Xiaoqin, TAN Wenyuan

Subjects: “…strong-flavor baijiu|base liquor|volatile flavor component|chemometrics|machine learning|difference analysis…”
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Aeroelastic Simulation of Full-Machine Wind Turbines Using a Two-Way Fluid-Structure Interaction Approach by Nan-You Lu, Jia Kai Lam, Yu Lin, Shiu-Wu Chau

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Leveraging snow probe data, lidar, and machine learning for snow depth estimation in complex-terrain environments by D. Liljestrand, R. Johnson, B. Neilson, P. Strong, E. Cotter

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Strong Inequalities for Hermite-Fejér Interpolations and Characterization of K-Functionals by Gongqiang You

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The response characteristics and stability evaluation of vegetated slope under strong wind by Yanlin Liu, Fei Wang, Feng Ji, Lianhua Zhang, Jianjun Zhao, Chen Zheng, Jibin Chen

“…The findings are expected to enhance the stability assessment of vegetated slopes under strong winds and facilitate the development of more accurate machine learning and statistical models in the future.…”
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Urinary Complement proteome strongly linked to diabetic kidney disease progression by Zaipul I. Md Dom, Salina Moon, Eiichiro Satake, Daigoro Hirohama, Nicholette D. Palmer, Heather Lampert, Linda H. Ficociello, Amin Abedini, Karen Fernandez, Xiujie Liang, Sara Pickett, Jonathan Levinsohn, Kristina O’Neil, Simon T. Dillon, Michael Mauer, Andrzej T. Galecki, Barry I. Freedman, Katalin Susztak, Alessandro Doria, Andrzej S. Krolewski, Monika A. Niewczas

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Strong NP-hardness of two-machine flow-shop scheduling with periodic due dates(具有等间隔工期的2台机器流水作业调度问题的强NP难性) by 崔晓龙(CUI Xiaolong), 何周力(HE Zhouli), 梅嘉杰(MEI Jiajie), 万龙(WAN Long)

“…we consider three two-machine flow-shop scheduling problems with periodic due dates, where each due date is assigned not to a specific job but to the processing order and the lengths of the intervals between two consecutive due dates are identical. …”
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Beware of counter-intuitive levels of false discoveries in datasets with strong intra-correlations by Chakravarthi Kanduri, Maria Mamica, Emilie Willoch Olstad, Manuela Zucknick, Jingyi Jessica Li, Geir Kjetil Sandve

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The Role of Exchange Energy in Modeling Core-Electron Binding Energies of Strongly Polar Bonds by Feng Wang, Delano P. Chong

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Linking Electrocardiogram and Echocardiogram: Comparing Classical Machine Learning and Deep Learning Neural Networks for the Detection of Regional Wall Motion Abnormalities by Shantanu M. Joshi, Hana R. Shaik, Shivam Rai Sharma, Philip Strong, Uma Srivatsa, Imo Ebong, Hyoyoung Jeong, Chen-Nee Chuah, Lihong Mo

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Hybrid quantum neural networks show strongly reduced need for free parameters in entity matching by Lukas Bischof, Stefan Teodoropol, Rudolf M. Füchslin, Kurt Stockinger

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Research on strong and weak evaluation method of air brake for intelligent driving heavy haul train by WANG Feikuan, JIANG Jie, ZHANG Zhengfang, LUO Yuan

“…To solve this problem, this paper proposed a prediction method for the strong and weak of air braking force based on IPSO-SVM (Improved Particle Swarm Optimization-Support Vector Machine). …”
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Development Process of Cutter Ring for Shield Machine/Tunnel Boring Machine （TBM） Hob by Cao Yulong, Zhou Peiqi, Tang Limei, Zhang Zhongxin, Ma Chongsheng

“…The disc cutter is the key component of the shield machine， and it is also the most easily worn and failed component in the tunneling construction process. …”
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Multimodal AI for Home Wound Patient Referral Decisions From Images With Specialist Annotations by Reza Saadati Fard, Emmanuel Agu, Palawat Busaranuvong, Deepak Kumar, Shefalika Gautam, Bengisu Tulu, Diane Strong

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Maize Kernel Broken Rate Prediction Using Machine Vision and Machine Learning Algorithms by Chenlong Fan, Wenjing Wang, Tao Cui, Ying Liu, Mengmeng Qiao

“…The broken rate prediction model based on machine vision and machine learning algorithms is proposed in this manuscript. …”
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