Reflections on the Hysteretic Damping Model by Nuno Maia

“…The author decided that this subject deserved a more careful and detailed analysis and – in this kind of tutorial paper – the issue seems to have been clarified. It is concluded that the proposed solution involving the constant hysteretic damping corresponds in fact to an equivalent viscously damped model; it is therefore concluded that the application of the constant hysteretic damping to model the free vibration of practical engineering problems should be considered only in the perspective of an equivalent viscously damped model.…”
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Copyright Verification and Traceability for Remote Sensing Object Detection Models via Dual Model Watermarking by Weitong Chen, Xin Xu, Na Ren, Changqing Zhu, Jie Cai

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Three-Dimensional Numerical Modeling of Local Scour Around Bridge Foundations Based on an Improved Wall Shear Stress Model by Peng Yu, Sheng Xu, Jiuchao Chen, Lingke Zhu, Jiale Zhou, Lie Yu, Zewen Sun

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Structuring meaningful bug‐fixing patches to fix software defect by Hui Li, Yong Liu, Xuexin Qi, Xi Yu, Shikai Guo

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Interactive Mitigation of Biases in Machine Learning Models for Undergraduate Student Admissions by Kelly Van Busum, Shiaofen Fang

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Predicting Software Perfection Through Advanced Models to Uncover and Prevent Defects by Tariq Shahzad, Sunawar Khan, Tehseen Mazhar, Wasim Ahmad, Khmaies Ouahada, Habib Hamam

“…Software defect prediction is a critical task in software engineering, enabling organizations to proactively identify and address potential issues in software systems, thereby improving quality and reducing costs. …”
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Phase-type distribution models for performance evaluation of condition-based maintenance by Kai-Wen Tien, Vittaldas Prabhu

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Neospora caninum as delivery vehicle for anti-PD-L1 scFv-Fc: A novel approach for cancer immunotherapy by Clément Riviere, Muna Aljieli, Marie-Noëlle Mévélec, Louis Lantier, Fanny Boursin, Laurie Lajoie, Céline Ducournau, Stéphanie Germon, Nathalie Moiré, Isabelle Dimier-Poisson, Nicolas Aubrey, Anne di Tommaso

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A Critical Review of Machine Learning Application Models in Dam Settlement Monitoring by Behrang Beiranvand, Taher Rajaee

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Models Development for Prediction of Blast Efficiency and Total Charge in a Typical Quarry by Kayode Augustine Idowu, Zakari Adamu

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Leveraging stacking machine learning models and optimization for improved cyberattack detection by Neha Pramanick, Jimson Mathew, Shitharth Selvarajan, Mayank Agarwal

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When Poor-Quality Data Meet Anonymization Models: Threats and Countermeasures by Abdul Majeed, Seong Oun Hwang

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Social Media Text Stance Detection Based on Large Language Models by LI Juhao, SHI Lei, DING Meng, LEI Yongsheng, ZHAO Dongyue, CHEN Long

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SevPredict: Exploring the Potential of Large Language Models in Software Maintenance by Muhammad Ali Arshad, Adnan Riaz, Rubia Fatima, Affan Yasin

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Network Modeling of Hurricane Evacuation Using Data-Driven Demand and Incident-Induced Capacity Loss Models by Yuan Zhu, Kaan Ozbay, Kun Xie, Hong Yang, Ender Faruk Morgul

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Advances in spatiotemporal multiscale water-energy balance models: A Review by DONG Weijie, LIU Zhiyong, CHEN Xiaohong

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Soil erosion vulnerability analysis of Damodar River Basin, India using Revised Universal Soil Loss Equation (RUSLE) in Google Earth Engine (GEE) by Joy Ghosh, Sukanta Das, Swagata Ghosh, Kousik Midya, Sudipta Das, Varun Narayan Mishra

“…Abstract Soil erosion is an important environmental issue worldwide. Therefore, data on spatio-temporal patterns of soil erosion and successive soil loss would be of immense significance for the sustainable management of land and water resources. …”
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Do genome‐scale models need exact solvers or clearer standards? by Ali Ebrahim, Eivind Almaas, Eugen Bauer, Aarash Bordbar, Anthony P Burgard, Roger L Chang, Andreas Dräger, Iman Famili, Adam M Feist, Ronan MT Fleming, Stephen S Fong, Vassily Hatzimanikatis, Markus J Herrgård, Allen Holder, Michael Hucka, Daniel Hyduke, Neema Jamshidi, Sang Yup Lee, Nicolas Le Novère, Joshua A Lerman, Nathan E Lewis, Ding Ma, Radhakrishnan Mahadevan, Costas Maranas, Harish Nagarajan, Ali Navid, Jens Nielsen, Lars K Nielsen, Juan Nogales, Alberto Noronha, Csaba Pal, Bernhard O Palsson, Jason A Papin, Kiran R Patil, Nathan D Price, Jennifer L Reed, Michael Saunders, Ryan S Senger, Nikolaus Sonnenschein, Yuekai Sun, Ines Thiele

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Quantitative Estimation of Net Primary Productivity by an Improved tCASA Model Using Landsat Time Series Data: A Case Study of Central Plains, China by Lida Xu, Zongze Zhao, Cheng Wang, Hongtao Wang, Chao Ma

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Enhanced Performance of Wastewater Membrane Bioreactor Using Machine Learning Model’s Prediction and Optimization by Jia-Chi Jiang, Nien-Hsun Li, Mo Chen, Kuan-Chung Chen, Chih-Hua Chang

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