Seismic Random Noise Attenuation Using DARE U-Net by Tara P. Banjade, Cong Zhou, Hui Chen, Hongxing Li, Juzhi Deng, Feng Zhou, Rajan Adhikari

“…Dense connections enhance the receptive field and ensure that information from different scales is considered during the denoising process. Our model implements local residual connections between layers within the encoder, which allows earlier layers to directly connect with deep layers. …”
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Incomplete mass closure in atmospheric nanoparticle growth by Dominik Stolzenburg, Nina Sarnela, Federico Bianchi, Jing Cai, Runlong Cai, Yafang Cheng, Lubna Dada, Neil M. Donahue, Hinrich Grothe, Sebastian Holm, Veli-Matti Kerminen, Katrianne Lehtipalo, Tuukka Petäjä, Juha Sulo, Paul M. Winkler, Chao Yan, Juha Kangasluoma, Markku Kulmala

“…Abstract Nucleation and subsequent growth of new aerosol particles in the atmosphere is a major source of cloud condensation nuclei and persistent large uncertainty in climate models. Newly formed particles need to grow rapidly to avoid scavenging by pre-existing aerosols and become relevant for the climate and air quality. …”
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Hybrid Method for Point Cloud Classification by Abdurrahman Hazer, Remzi Yildirim

“…This dual extraction process ensures minimal loss of both high and low-frequency features. …”
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Ambient and intrinsic dependencies of evolving ice-phase particles within a decaying winter storm during IMPACTS by A. DeLaFrance, A. DeLaFrance, L. A. McMurdie, A. K. Rowe, A. J. Heymsfield

“…This vertical evolution was reproduced by a one-dimensional (1D) particle-based model simulation constrained by observations, conveying accuracy in the process representation. …”
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Experiment and simulation of single diamond abrasive particle scratching RB-SiC composite material by Dehan ZHANG, Kang DING, Xintong CAI, Feng YANG, Zhigang DONG, Yan BAO, Xiaoguang GUO, Renke KANG

“…However, the high hardness and brittleness lead to many defects when processed using traditional methods. To investigate the material removal mechanism and the surface damage causes during the grinding process of RB-SiC composite materials, the ABAQUS finite element software is used for scratch simulation and the scratching experiment of a single diamond abrasive indenter is used for verification.MethodsBased on ABAQUS finite element simulation software, a scratch simulation model of RB-SiC composite material with a multiphase structure is constructed. …”
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Revolution of Plastic Surgery by Innovation in 3D Printing by Aqsa Mir, Yusra Mir

“…3D printing is a manufacturing process that creates three-dimensional objects by layering materials based on a digital model. …”
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Observations of methane net sinks in the upland Arctic tundra by A. Donateo, D. Famulari, D. Giovannelli, D. Giovannelli, D. Giovannelli, D. Giovannelli, D. Giovannelli, A. Mariani, M. Mazzola, S. Decesari, G. Pappaccogli, G. Pappaccogli

“…The observed net summertime methane uptake is correlated with the activation and aeration of soil microorganisms, and it declines in winter due to the presence of snow cover and because of the negative soil temperature which triggers the freezing process of the active layer water content but then rebounds during the melting period. …”
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Machine learning for the rElapse risk eValuation in acute biliary pancreatitis: The deep learning MINERVA study protocol by Mauro Podda, Adolfo Pisanu, Gianluca Pellino, Adriano De Simone, Lucio Selvaggi, Valentina Murzi, Eleonora Locci, Matteo Rottoli, Giacomo Calini, Stefano Cardelli, Fausto Catena, Carlo Vallicelli, Raffaele Bova, Gabriele Vigutto, Fabrizio D’Acapito, Giorgio Ercolani, Leonardo Solaini, Alan Biloslavo, Paola Germani, Camilla Colutta, Savino Occhionorelli, Domenico Lacavalla, Maria Grazia Sibilla, Stefano Olmi, Matteo Uccelli, Alberto Oldani, Alessio Giordano, Tommaso Guagni, Davina Perini, Francesco Pata, Bruno Nardo, Daniele Paglione, Giusi Franco, Matteo Donadon, Marcello Di Martino, Dario Bruzzese, Daniela Pacella

“…The MINERVA study aims to develop and validate a machine learning (ML) model to predict the risk of RAP (at 30, 60, 90 days, and at 1-year) in MABP patients, enhancing decision-making processes. …”
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Mechanistic Study of Oil Adsorption Behavior and CO₂ Displacement Mechanism Under Different pH Conditions by Xinwang Song, Yang Guo, Yanchang Chen, Shiling Yuan

“…Three quartz surface models with varying ionization degrees (0%, 9%, 18%, corresponding to pH 2–4, 5–7, and 7–9) were constructed to simulate different pH environments. …”
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In Vivo Detection of Staphylococcus aureus Infections Using Radiolabeled Antibodies Specific for Bacterial Toxins by María Isabel González, Mario González-Arjona, Lorena Cussó, Miguel Ángel Morcillo, John Jairo Aguilera-Correa, Jaime Esteban, Martha Kestler, Daniel Calle, Carlos Cerón, Marta Cortes-Canteli, Patricia Muñoz, Emilio Bouza, Manuel Desco, Beatriz Salinas

“…Its diagnostic ability was evaluated in vivo by positron emission tomography/computed tomography (PET/CT) imaging in an animal model of local infection-inflammation (active S. aureus vs. heat-killed S. aureus) and infective osteoarthritis. …”
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Application of improved graph convolutional network for cortical surface parcellation by Jia Tan, Xiaomei Ren, Yong Chen, Xianju Yuan, Feiba Chang, Rui Yang, Chengqun Ma, Xiaoyu Chen, Miao Tian, Wei Chen, Zihong Wang

“…What’s more, we introduce the Squeeze and Excitation (SE) module, which enables the network to better capture key features, suppress unimportant features, and significantly improve parcellation performance with a small amount of computation. We evaluated the model on a public dataset of 100 artificially labeled brain surfaces. …”
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Optimal selection of high-production well targets for fault-controlled fractured-vuggy reservoir in Shunbei oil and gas field, Tarim Basin by Lijun GAO, Haiying LI, Wei GONG, Wei YANG, Hongyan LI

“…In response to the complex geological conditions of the overlying strata and Ordovician target layers in the Shunbei area, as well as challenges such as loss, overflow, and wellbore collapse during drilling, a key integrated geological engineering technology process focused on drilling risk prediction was established. …”
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Prospects of application of artificial neural networks for forecasting of cargo transportation volume in transport systems by D. T. Yakupov, O. N. Rozhko

“…The Neural Network Toolbox package is used for forecasting. The neural network model consists of a hidden layer of neurons with a sigmoidal activation function and an output neuron with a linear activation function, the input values of the dynamic time series, and the predicted value is removed from the output. …”
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Applying a Parameterized Quantum Circuit to Anomaly Detection by Jehn-Ruey Jiang, Jyun-Sian Li

“…In this study, a parameterized quantum circuit (PQC) is applied for anomaly detection, a crucial process to identify unusual patterns or outliers in data. …”
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A deep fusion‐based vision transformer for breast cancer classification by Ahsan Fiaz, Basit Raza, Muhammad Faheem, Aadil Raza

“…Convolutional neural network (CNN) models like ResNet50, Inception‐V1, and VGG‐16, while useful in many applications, cannot capture the patterns of cell layers and staining properties. …”
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STUDY OF THE NEOTECTONIC STRUCTURE OF THE BRATSK WATER RESERVOIR BED by A. G. Dmitriev, K. G. Levi, A. G. Vakhromeev

“…With reference to the velocity law, the travel time sections were processed and converted into depth profiles. A petrophysical model of bottom sediments was constructed, and a scheme was developed to ensure proper processing and interpreting of seismic and acoustic data. …”
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Application of Medical Images for Melanoma Detection Using a Multi‐Architecture Convolutional Neural Network From a Deep Learning Approach by Justice Williams Asare, Emmanuel Akwah Kyei, Seth Alornyo, Emmanuel Freeman, Martin Mabeifam Ujakpa, William Leslie Brown‐Acquaye, Alfred Coleman, Forgor Lempogo

“…The cascading combination technique was then utilized to develop a multi‐architecture model. With the cascading multi‐architecture technique, we combined all the layers (multiple layers) output of the models and processed them (the output of the multiple layers) in a structured pipeline, which improves upon the previous output. …”
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HARDWARE AND SOFTWARE COMPLEX FOR FRICTION AND WEAR INVESTIGATIONS BY THE «DISC ON PLATE» METHOD by F. F. Komarov, V. V. Pilko, V. N. Kuleshov

“…An important requirement for the equipment and the method of measurement is the ability to measure the friction coefficient and the determination of the wear resistance of coatings and hardened layers of micron and submicron thicknesses. Another important requirement is modeling in the experiment of acyclic friction process, as close as possible to the real operating conditions of components and parts. …”
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Intelligent Control of Smooth Blasting Quality in Rock Tunnels Using BP-ANN, ENN, and ANFIS by Baoping Zou, Jianxiu Wang, Zhanyou Luo, Lisheng Hu

“…The following are the conclusions of this study: (1) This paper presented a method of constructing a tunnel smooth blasting quality control index system and established this system with seven criteria layers, namely, geological conditions, explosive properties, borehole parameters, charge parameters, method of initiation, tunnel parameters, and construction factors, as well as a total of nine indexes. (2) The comprehensive optimization control model of BP-ANN, ANFIS, and ENN for tunnel smooth blasting quality was established. (3) The uniform design method was used to optimize the blasting parameters of the tunnel section, which needs to be controlled, and verify that the construction of these comprehensive optimization control models can change the focus of tunnel smooth blasting quality control from the traditional single index control method into a dynamic, intelligent, pluralistic, and integrated control technology.…”
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Experimental Determination and Comparative Analysis of the PPH030GP, ABS and PLA Polymer Strength Characteristics at Different Strain Rates by M. Yu. Zalohin, V. V. Skliarov, Ja. S. Dovzhenko, D. A. Brega

“…Printing settings are indicated in accordance with the selected mode and a 3D-printer model. As a result of data processing, strength characteristics of PPH030GP polymer and ABS and PLA polymers have been determined to a sufficient extent, depending on the direction of printing layers and rate of high-elastic deformation. …”
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