Study of drilling muds on the anti-erosion property of a fluidic amplifier in directional drilling by Jiang-fu He, Peng-yu Zhang, Qi-lei Yin, Kun Yin, Hou-ping Liu

“…In order to investigate the influence of drilling muds, such as particle size, solid content and jet velocity, on the antierosion property of a fluidic amplifier, several groups of drilling muds with different performance parameters have been utilized to numerical simulation on basis of Computational Fluid Dynamics (CFD). Simulation results have shown that the jet nozzle of fluidic amplifiers is primarily abraded, afterwards are the lateral plates and the wedge of the fluidic amplifier, which shows extraordinary agreement with the actual cases of fluidic amplifier in drilling process. …”
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Adaptive continuous-discrete variables optimization for active learning with extremely sparse data in optical material design by Serang Jung, Eungkyu Lee

“…It identified an optimal five-layer design with 0.47% average reflectance, requiring only ∼10% of the training data of the fixed scheme and 0.002% of total possible states, reducing computational costs and enhancing practical applicability. …”
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PtWAVE: a high-sensitive deconvolution software of sequencing trace for the detection of large indels in genome editing by Kazuki Nakamae, Saya Ide, Nagaki Ohnuki, Yoshiko Nakagawa, Keisuke Okuhara, Hidemasa Bono

“…However, extending the deconvolution range introduces uncertainty into the deconvolution process. Moreover, the accuracy and sensitivity of TIDE analysis tools for large deletions (> 50 bp) remain poorly understood. …”
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Deep learning-based action recognition for analyzing drug-induced bone remodeling mechanisms by Li Qinsheng, Li Ming, Li Yuening, Zhao Xiufeng

“…Bone remodeling is a highly dynamic process that involves the intricate interplay between osteoblasts, osteoclasts, and osteocytes, regulated by a complex network of signaling pathways and molecular interactions. …”
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A deep multiple self-supervised clustering model based on autoencoder networks by Ling Zhu, Zijin Liu, Guangyu Liu

“…Compared to the performance of traditional fuzzy C-Means clustering algorithms on various public datasets, our proposed method significantly reduces computation time and noticeably improves iteration efficiency.…”
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VM-UNet++ research on crack image segmentation based on improved VM-UNet by Wenliang Tang, Ziyi Wu, Wei Wang, Youqin Pan, Weihua Gan

“…However, CNNs still face limitations in capturing global information due to their local receptive fields when processing images. On the other hand, while Transformers are powerful in handling long-range dependencies, their high computational cost remains a significant challenge. …”
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A Deep Learning-Based Algorithm for Ceramic Product Defect Detection by Junxiang Diao, Hua Wei, Yawei Zhou, Zhihua Diao

“…This algorithm exhibits significant potential in the field of ceramic product defect detection, providing solid technical support for optimizing the ceramic product manufacturing process.…”
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Embedded feature selection using dual-network architecture by Abderrahim Abbassi, Arved Dörpinghaus, Niklas Römgens, Tanja Grießmann, Raimund Rolfes

“…Feature selection is essential for eliminating noise, reducing redundancy, simplifying computational complexity, and lowering data collection and processing costs. …”
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Adaptive Entry Guidance for Hypersonic Gliding Vehicles Using Analytic Feedback Control by Xunliang Yan, Peichen Wang, Shaokang Xu, Shumei Wang, Hao Jiang

“…The core of the constrained guidance approach is a closed-form, easily obtained, and computationally efficient feedback control law that yields the analytic bank command based on the well-known quasi-equilibrium glide condition (QEGC). …”
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Automatic restoration and reconstruction of defective tooth based on deep learning technology by Juhao Wu, Yuanchang Huang, Jiayan He, Kunjing Chen, Wenlong Wang, Xiao Li

“…Traditional methods, like manual wax modeling and template-based computer-aided design (CAD), struggle with accuracy, personalization, and efficiency. …”
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Adaptive controller for multirotor based on estimated parameters by Sophyn Srey, Sarot Srang, Lycheck Keo

“…A Proportional–Integral (PI) controller with control gains and dynamic and constant compensation, which are computed from the lumped parameters, is proposed to control the output of the simplified model. …”
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Hydrodynamic Modelling of Tidally-Influenced Fluvial Zone, a study case of Palembang, Indonesia by Alamsyah Kurniawan, Andi Egon, Karina Aprilia Sujatmiko, Ardi Iman Malakani

“…This study describes setting up the computational model, boundary location, type of forcing (tidal and non-tidal), bedform roughness, turbulent viscosity and extensive calibration and validation. …”
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Real-Time Transformer Detection of Underwater Objects Based on Lightweight Gated Convolutional Network by Yuhui LI, Huixia CUI, Yaomin LI, Senping JIA

“…To address the challenges in underwater object detection algorithms, including difficult image feature processing, redundant model architectures, and excessive parameter numbers, this paper proposed a real-time Transformer detection method for underwater objects based on a lightweight gated convolutional network. …”
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Replication Protein A Presents Canonical Functions and Is Also Involved in the Differentiation Capacity of Trypanosoma cruzi. by Raphael Souza Pavani, Marcelo Santos da Silva, Carlos Alexandre Henrique Fernandes, Flavia Souza Morini, Christiane Bezerra Araujo, Marcos Roberto de Mattos Fontes, Osvaldo Augusto Sant'Anna, Carlos Renato Machado, Maria Isabel Cano, Stenio Perdigão Fragoso, Maria Carolina Elias

“…Taken together, these findings indicate the involvement of TcRPA in the metacyclogenesis process and suggest that a delay in cell cycle progression could be linked with differentiation in T. cruzi.…”
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An enhancement filter utilizing the modified arctangent function for the structural and tectonic interpretation of causative sources: Application to WGM2012 gravity data from the R... by Fengjun WU, Xin-Ai XU

“…Additionally, an approximated derivative calculation method is incorporated to mitigate noise amplification during the derivative computation process. The results from both synthetic and real data confirm that the MAT filter effectively detects and delineates gravity anomalies, demonstrating its potential as a valuable tool for geophysical interpretation.…”
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Biomorphic design in landscape architecture: An overview and application via experimental design inspired by species Carica papaya l. by Jović Biljana, Zdimalova Maria, Chemarum Benjamin, Stanojević Anđela

“…The foundation of proposed design framework lies in a collected biological data, later processed by using advanced computational tools. …”
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ASSESSMENT OF TRANSMISSION EFFECTS BETWEEN “CORRUPTION-DIGITIZATION-ECONOMIC GROWTH” by Adriana Surovičová, Victoria Bozhenko, Anton Boyko, K.Yu. Petrenko

“… The last decade has seen the rapid development of digital information technology, the intellectualization of control systems, the increase in the number and capacity of mobile and computer devices, and the accumulation of large amounts of data and its processing through machine learning algorithms, which inevitably leads to new opportunities for economic development. …”
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Efficient side lobe level reduction technique for planar antenna arrays by Shimaa M Amer, Ahmed M. Elkhawaga, Ashraf A.M. Khalaf, Amr H. Hussein

“…Consequently, the number of antenna elements is significantly reduced, which in turn minimizes the computational complexity and signal processing time required to synthesize the desired radiation pattern. …”
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CFD Simulation of milk performance parameters effect on the physical indices of spray dryer by Hasan Ghafori, Hamid Karimiyan

“…One type of drying process is spray drying, which is used to dry solutions. …”
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Immersive VR safety training: Enhancing hazard recognition and compliance through 5M and 5S integration by Abdallah Al-Hamad, Attila Gilányi

“…Employing the Analytic Hierarchy Process (AHP) with 10 expert inputs, training options are ranked across five critical criteria: hazard recognition, safety compliance, realism, integration, and knowledge retention. …”
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