Influence of Chamber Geometrical Parameters on Suppressing Explosion Propagation by Zhuo Yan, Shengli Guo, Shujie Yuan, Chaomin Mu

“…Three rectangular chambers were used in the study, with a constant length of 0.5 m, a constant height of 0.2 m, and a variable width of 0.3 m, 0.5 m, and 0.8 m; each chamber was installed in a pipeline system for experimental research. The experimental results showed that when the chamber length and height were fixed at 0.5 m and 0.2 m, respectively, the suppression effect of the chamber on the explosion shockwave improves with the increase in the chamber width; when the chamber width increases to 0.8 m, the chamber has suppressive effect on explosion shockwave propagation. …”
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Studies of the design layout of resistojet with porous structure for propulsion systems of small spacecraft by V. N. Blinov, V. V. Kositsin, A. I. Lukyanchik

“…The possibility of using a porous structure as a volumetric fuel gas pipeline with an increase in heat transfer intensity has been experimentally proved and the actual specific heat capacity of the porous structure has been determined. …”
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Reversal gene expression assessment for drug repurposing, a case study of glioblastoma by Shixue Sun, Zeenat Shyr, Kathleen McDaniel, Yuhong Fang, Dingyin Tao, Catherine Z. Chen, Wei Zheng, Qian Zhu

“…Methods This study presents a novel computational pipeline by utilizing gene expression data analysis for GBM for drug repurposing to address the challenges in rare disease drug development, particularly focusing on GBM. …”
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UK Biobank MRI data can power the development of generalizable brain clocks: A study of standard ML/DL methodologies and performance analysis on external databases by Marco Capó, Silvia Vitali, Georgios Athanasiou, Nicole Cusimano, Daniel García, Garth Cruickshank, Bipin Patel

“…In this study, we present a comprehensive pipeline to train and compare a broad spectrum of machine learning and deep learning brain clocks, integrating diverse preprocessing strategies and correction terms. …”
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Refining α-synuclein seed amplification assays to distinguish Parkinson’s disease from multiple system atrophy by James A. Wiseman, Clinton P. Turner, Richard L. M. Faull, Glenda M. Halliday, Birger Victor Dieriks

“…Conclusions Our RT-QuIC protocol and analysis pipeline can distinguish between PD and MSA, and between MSA phenotypes. …”
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The Use of Granular Cyclopentanone as Alternative to Artificial Source of Carbon Dioxide in Improved Passive Outdoor Host Seeking Device (POHD) by Stella T. Kessy, Bruno A. Nyundo, Ladslaus L. Mnyone, Issa N. Lyimo

“…Several odor-baited devices are in the pipeline; however, their scale-up against residual malaria transmission, particularly in resource poor areas, is limited by the unavailability of reliable sources of CO2 and reliance on electrical power sources among other factors. …”
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Genome-resolved year-round dynamics reveal a broad range of giant virus microdiversity by Yue Fang, Lingjie Meng, Jun Xia, Yasuhiro Gotoh, Tetsuya Hayashi, Keizo Nagasaki, Hisashi Endo, Yusuke Okazaki, Hiroyuki Ogata

“…A newly developed computational pipeline generated 1,065 high-quality genomes covering six major giant virus lineages. …”
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fMRI Study on the Functional Connectivity of Nucleus Accumbens in Patients with Knee Osteoarthritis by Yang XIAO, Jiao LIU, kun HU, Meiqin LIN, Youxue TU, Jing TAO, Lidian CHEN, Jia HUANG

“…Pre-processing of fMRI data was performed via using a pipeline in CONN18b toolbox. Our study used the AAL template NAc of the Montreal Neuroscience Institute (MNI) as the region of interest to analyze the differences in the functional connectivity between the NAc and the whole brain voxels in the two groups of subjects and its correlation with the KOOS.Results:The general data (age, gender) of the KOA group were matched with the healthy control group, and the BPI score of the healthy control group was 0. …”
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Automatic Segmentation of Abdominal Aortic Aneurysm From Computed Tomography Angiography Using a Patch-Based Dilated UNet Model by Merjulah Roby, Juan C. Restrepo, Haehwan Park, Satish C. Muluk, Mark K. Eskandari, Seungik Baek, Ender A. Finol

“…Hence, there is a growing need for automated segmentation algorithms, particularly when these influence treatment planning. The deep-learning pipeline proposed in this work is designed to automatically segment AAA CTA images. …”
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Segmentation of the iliac crest from CT-data for virtual surgical planning of facial reconstruction surgery using deep learning by Stefan Raith, Tobias Pankert, Jônatas de Souza Nascimento, Srikrishna Jaganathan, Florian Peters, Mathias Wien, Frank Hölzle, Ali Modabber

“…A deep Convolutional Neural Network implemented in a 3D U-Net architecture using Tensorflow was employed to provide a pipeline for automatic segmentation. Transfer learning was applied for model training optimization. …”
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Regional hippocampal thinning and gyrification abnormalities and associated cognition in children with prenatal alcohol exposure by Blake A. Gimbel, Jeffrey R. Wozniak, Bryon A. Mueller, Kent A. Tuominen, Abigail M. Ernst, Mary E. Anthony, Erik de Water, the CIFASD, Donovan J. Roediger

“…T1-weighted anatomical data were processed with the Hippunfold pipeline, which “unfolds” the complex hippocampal structure onto a template surface and provides measures of thickness and gyrification/curvature at each vertex. …”
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Exploring Cortical Thickness Alteration in Parkinson Disease Patients with Freezing of Gaits by E. Li, Xiuhang Ruan, Yuting Li, Guoqin Zhang, Mengyan Li, Xinhua Wei

“…The cortical thickness (CTh), segmentation volume without ventricles (BrainSegVolNotVent) and estimated total intracranial volume (eTIV) were analysed using the FreeSurfer pipeline. Results: CTh differences were found in the right middle temporal gyrus (rMTG) generally. …”
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Study of the Optimal Control of the Central Air Conditioning Cooling Water System for a Deep Subway Station in Chongqing by Xingyu Shu, Yu Dong, Jun Liu, Xinhua Xu

“…When the connection is long and the passage environment for the pipeline is not conventional, it cannot be neglected for the optimal control for system efficiency improvement and energy consumption reductions. …”
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IoT-Based Multisensors Fusion for Activity Recognition via Key Features and Hybrid Transfer Learning by Ahmad Jalal, Danyal Khan, Touseef Sadiq, Moneerah Alotaibi, Sultan Refa Alotaibi, Hanan Aljuaid, Hameedur Rahman

“…The system employs a multi-stage processing pipeline involving preprocessing, segmentation, feature extraction, and classification to achieve high accuracy in activity recognition. …”
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Improving doublet cell removal efficiency through multiple algorithm runs by Yong She, Chaoye Wang, Qi Zhao

“…Overall, we proved that the MRDR strategy was more effective in removing doublets and advantageous for downstream analyses, and the strategy could be incorporated into the standard analysis pipeline for scRNA-seq experiments and recommend using cxds to remove doublets through two rounds of algorithm iteration.…”
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Tell me y: anticipation of sex discrepancies in cell-free DNA testing due to maternal genetic abnormalities: a case report by Nuria Balaguer, Emilia Mateu-Brull, Jose Antonio Martínez-Conejero, Ana Cervero, Roser Navarro, Jorge Jiménez-Almazán, Miguel Milán

“…We used Illumina’s VeriSeq NIPT Solution v2 and a proprietary bioinformatics pipeline to analyze cfDNA in the maternal bloodstream. …”
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Effect of silane coupling agent on flexural properties of fiber-reinforced geopolymer-cemented aeolian sand by Shuai Pang, Jiaze Li, Mengjie Li, Changzhi Zhao, Henghui Fan, Xiangdong Zhang

“…The research findings have significant implications for the selection of pipeline backfill materials, their service life, and environmental protection.…”
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Deep Joint Demosaicking and Super-Resolution for Spectral Filter Array Images by Abdelhamid N. Fsian, Jean-Baptiste Thomas, Jon Y. Hardeberg, Pierre Gouton

“…This holistic approach ensures a more coherent and optimized restoration process, mitigating the risk of error accumulation and preserving image quality throughout the reconstruction pipeline. Our experimental results underscore the efficacy of the proposed network, showcasing an improvement of performance both qualitatively and quantitatively when compared to the sequential combination of state-of-the-art demosaicking and super resolution. …”
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An Effective and Safe Maize Seed Chipping Protocol Using Clipping Pliers With Applications in Small-Scale Genotyping and Marker-Assisted Breeding by Brian Zebosi, John Ssengo, Lander Geadelmann, Erica Unger-Wallace, Erik Vollbrecht

“…In applications such as marker-assisted breeding and positional cloning, tissue sampling and plant tracking are vital steps in the genotyping pipeline. They enable the identification of desirable seedlings, saving time and reducing the cost, space, and handling required for growing adult plants, especially for greenhouses and winter nurseries. …”
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Comprehensive Analysis of Word Embedding Models and Design of Effective Feature Vector for Classification of Amazon Product Reviews by B. Priya Kamath, M. Geetha, U. Dinesh Acharya, Dipesh Singh, Ayush Rao, Shwetha Rai, Roopashri Shetty

“…Feature engineering is considered to be one of the major steps in the Machine Learning (ML) pipeline with effective feature extraction playing a vital role in improving the performance of the SA tasks. …”
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