Evolutionary conformation model of salivary gland lithiasis by Álvaro Sánchez Barrueco, Álvaro Sánchez Barrueco, Álvaro Sánchez Barrueco, María Victoria López-Acevedo Cornejo, William Aragonés Sanzen-Baker, William Aragonés Sanzen-Baker, William Aragonés Sanzen-Baker, Sol López-Andrés, Gonzalo Díaz Tapia, Gonzalo Díaz Tapia, Gonzalo Díaz Tapia, Ignacio Alcalá Rueda, Ignacio Alcalá Rueda, Ignacio Alcalá Rueda, Jessica Mireya Santillán Coello, Jessica Mireya Santillán Coello, Jessica Mireya Santillán Coello, Carlos Cenjor Español, Carlos Cenjor Español, Carlos Cenjor Español, José Miguel Villacampa Aubá, José Miguel Villacampa Aubá, José Miguel Villacampa Aubá

“…IntroductionSalivary stones, or sialoliths, are calcified concretions forming within salivary glands and their ducts through a two-stage process: an initial formation of a central core via precipitation of inorganic material mediated by organic substances, followed by layering of additional organic and inorganic material. …”
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Flow-based Text Style Transfer Model by Zihan ZHANG, Jinqiao DAI, Pin YANG

“…The proposed method outperforms the selected baseline model when processing text containing multiple key pieces of information. …”
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MODEL OF THERMOELECTRIC DEVICE FOR HEAT IMPACT ON FEET by O. V. Evdulov, D. K. Kadirova, S. G. Magomedova, T. A. Ragimova, M. A. Khazamova

“…For the most general case, a mathematical model is constructed, based on a numerical solution of the nonstationary heat conduction problem of a layered system. …”
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Hierarchical Model for an AUV Swarm with a Leader by Zhao Qiang, Yang Tengfei, Tang Guoqiang, Yang Yan, Luan Yu, Wang Gang, Wan Teng, Xu Minyi, Li Shuai, Xie Guangming

“…In this model, the leader robot carries a comprehensive set of navigation information, while the other robots are stratified based on the relative distances between them and follow the leader during the navigation process. …”
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A prediction model for the mechanical properties of SUS316 stainless steel ultrathin strip driven by multimodal data mixing by Zhenhua Wang, Pengzhan Wang, Yunfei Liu, Yuanming Liu, Tao Wang

“…The results show that the multimodal data model fused with the ResNet and MLP after adding the CBAM using both rolling process data and four types of microstructure image data as model inputs has the most accurate prediction results. …”
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PALEOPROTEROZOIC TECTONICS AND EVOLUTIONARY MODEL OF THE ONEGA SYNCLINORIUM by S. Yu. Kolodyazhny, N. B. Kuznetsov, A. V. Poleshchuk, D. S. Zykov, E. A. Shalaeva

“…Consideration is being given to the Onega Paleoproterozoic structure (Onega synclinorium, OS) as a tectonotype of intraplate negative structures, which experience intermittent subsidence over a long period of time. The paper presents a model of the OS and discusses its tectonic evolution. …”
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Variable-Diameter Deployable Structure Composite Preforms Made by Braiding and Needle-Punching Integrated Forming Technology by Zhengxi Zhou, Zitong Guo, Zhongde Shan, Zheng Sun, Jun Zhang, Fengchen Geng, Yaoyao Wang, Tianzheng Yang, Zhiqi Zhuang

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Urbanization and hydrological dynamics: a 22-year assessment of impervious surface changes and runoff in an urban watershed by Cyrus Omwoyo Ongaga, Mary Makokha, Kennedy Obiero, Isaac Kipkemoi, Justus Diang’a

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The Role of Landscape Metrics and Spatial Processes in Performance Evaluation of GEOMOD (Case Study: Neka River Basin) by Shrif Joorabian Shooshtari, Kamran Shayesteh, Mehdi Gholamalifard, Mahmood Azari, Juan Ignacio López-Moreno

“…The relative error was calculated to quantify the difference between landscape metrics derived from the observed and the simulated layers (Sakieh and Salmanmahiny, 2016). Analysis of spatial processes was also calculated to evaluate the model performance using decision tree algorithm in Land Change Modeler (Bogaert et al., 2004). 3-Results and Discussion Forest showed a decrease of 3000 ha (4.1 % of forest area, and 1.6 % study area) from 1984 to 2001. …”
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A Study on Systematic Improvement of Transformer Models for Object Pose Estimation by Jungwoo Lee, Jinho Suh

“…Transformer architecture, initially developed for natural language processing and time series analysis, has been successfully adapted to various generative models in several domains. …”
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Anchoring of 2D layered materials of Ge5Si5O20 for (Li/Na/K)-(Rb/Cs) batteries towards Eco-friendly energy storage by Fatemeh Mollaamin

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Unraveling Mass Transfer and Reaction Processes in CVD-Grown MoS₂ Films: A Multiphysical Field Coupling Study by Zhen Yang, Jinwei Lin, Qing Zhang, Yutian Liu, Shujun Han, Yanbin Zhou, Shuo Chen, Shenlong Zhong, Xianli Su, Qingjie Zhang, Xinfeng Tang

“…In this study, we conducted an in-depth investigation into the mass transfer and chemical reaction processes during the chemical vapor deposition of MoS₂, employing a novel multi-physics coupling model that integrates flow fields, temperature fields, mass transfer, and chemical reactions. …”
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Modelling and Predicting the Breaking Strength and Mass Irregularity of Cotton Rotor-Spun Yarns Containing Cotton Fiber Recovered from Ginning Process by Using Artificial Neural... by Mohsen Shanbeh, Hossein Hasani, Somayeh Akhavan Tabatabaei

“…The parameters of artificial neural network model, namely, learning, and momentum rate, number of hidden layers and number of hidden processing elements (neurons) were optimized to get the best predictive models. …”
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Application of foam-mat drying to produce field crab powder: Foaming process optimization, drying kinetics, and final product characterization by Nguyen Minh Thuy, Ngo Ngoc Nhut Minh, Nguyen Hoang Kha, Bui Thi Bich Thuy, Tran Ngoc Giau, Hong Van Hao, Vo Quang Minh, Ngo Van Tai

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Optimization and Analysis of Electrical Heating Ice-Melting Asphalt Pavement Models by Jiguo Liu, Kai Xu, Zhi Chen, Wenbo Peng, Longhai Wei

“…Existing studies primarily focus on optimizing cable-heated asphalt pavement through indoor model tests or finite element results. To obtain more accurate and reasonable temperature rise processes and heat transfer results, we propose a new evaluation metric for heat transfer capability and optimization in electric heating asphalt pavement. …”
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Spatial Prediction of Soil Continuous and Categorical Properties Using Deep Learning Approaches for Tamil Nadu, India by Thamizh Vendan Tarun Kshatriya, Ramalingam Kumaraperumal, Sellaperumal Pazhanivelan, Nivas Raj Moorthi, Dhanaraju Muthumanickam, Kaliaperumal Ragunath, Jagadeeswaran Ramasamy

“…A total of 43 SCORPAN-based environmental covariates were considered, of which 37 covariates were retained after the recursive feature elimination (RFE) process. The validation and test results obtained for each of the soil attributes for both the algorithms were most comparable with the DL-MLP algorithm depicting the attributes’ most intricate spatial organization details, compared to the 1D-CNN model. …”
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Influence of 3D printing orientations on mechanical properties for polymeric models by Waleed Kh. Omar, Abdulhaqq A. Hamid

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Integrating protein language models and automatic biofoundry for enhanced protein evolution by Qiang Zhang, Wanyi Chen, Ming Qin, Yuhao Wang, Zhongji Pu, Keyan Ding, Yuyue Liu, Qunfeng Zhang, Dongfang Li, Xinjia Li, Yu Zhao, Jianhua Yao, Lei Huang, Jianping Wu, Lirong Yang, Huajun Chen, Haoran Yu

“…Advances in machine learning and automated biofoundry present new opportunities for optimizing these processes. This study devises a protein language model-enabled automatic evolution platform, a closed-loop system for automated protein engineering within the Design-Build-Test-Learn cycle. …”
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Deep exploration of logical models of cell differentiation in human preimplantation embryos by Mathieu Bolteau, Célia Messaoudi, Laurent David, Jérémie Bourdon, Carito Guziolowski

“…Here, we focus on the maturation process of the trophectoderm (TE), the outer layer of cells of human embryos, which is critical for their ability to attach to the endometrium. …”
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Exploring Downscaling in High-Dimensional Lorenz Models Using the Transformer Decoder by Bo-Wen Shen

“…The FFNN and transformer-based models add complexity, incorporating multiple hidden layers and self-attention mechanisms, respectively, to enhance prediction accuracy. …”
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