Identification and application of shale lithofacies based on conventional logging curves: A case study of the second member of Funing Formation in Qintong Sag, Subei Basin by WANG Xinqian, YU Wenduan, MA Xiaodong, ZHOU Tao, TAI Hao, CUI Qinyu, DENG Kong, LU Yongchao, LIU Zhanhong

“…Additionally, a BP neural network method optimized by the ASO（Atom Search Optimization） algorithm was utilized to perform data mining on logging information. …”
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Rheological behavior of MWCNT-SnO2/SAE50 hybrid nanolubricant: Experimental evaluation and viscosity prediction using optimized machine learning model by Mojtaba Sepehrnia, Hamid Maleki, Alireza Hamidi, Ali Davoodi, Hamidreza Golmohammadi

“…In the second part of this paper, highly accurate models for predicting the viscosity of the nanolubricant were developed by proposing a whole search-based strategy for the structural/training optimization of the multilayer perceptron neural network (MLPNN). …”
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DS4NN: Direct training of deep spiking neural networks with single spike-based temporal coding by Maryam Mirsadeghi, Majid Shalchian, Saeed Reza Kheradpisheh

“…Backpropagation is the foremost prevalent and common algorithm for training conventional neural networks with deep construction. …”
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Can self-rated health be useful to primary care physicians as a diagnostic indicator of metabolic dysregulations amongst patients with type 2 diabetes? A population-based study by K. Umeh, S. Adaji

“…Abstract Background Although most of the management of type 2 diabetes (T2DM) occurs in primary care, and physicians are tasked with using a ‘whole person’ approach, there is currently a lack of research on psychosocial diagnostic indicators for detecting metabolic abnormalities in T2DM patients. …”
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Toward model-based individualized fitting of hip-flexion exosuits for persons with unilateral transfemoral amputation by Finn G. Eagen, Nicholas P. Fey

“…In this article, we model the effects of such a device during whole-body, subject-specific kinematic simulations of level ground walking. …”
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Congenital Melanocytic Nevus of the Nose: Clinical Experience and Reconstructive Approaches by Alexander Margulis, MD, Allan Billig, MD, Neta Adler, MD

“…The authors developed a treatment algorithm with the aim of offering an optimal surgical management plan. …”
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A multi-objective aerodynamic performance optimization of a centrifugal vacuum pump and the flow physics analysis by Zhanyuan Gu, Jiangtao Zhang, Wei Zhang, Yikun Wei

“…The flow in the radial vaneless region of the optimized models presents uniform distributions of flow angle and Mach number over the whole circumference. The reduced energy loss and uniform flow field contribute to the improved performance of the centrifugal vacuum pump.…”
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Degradation Type-Aware Image Restoration for Effective Object Detection in Adverse Weather by Xiaochen Huang, Xiaofeng Wang, Qizhi Teng, Xiaohai He, Honggang Chen

“…In the training phase, we jointly optimize the whole framework on a mixed weather dataset, including degraded images and clean images. …”
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Hypotensive episodes on program hemodialysis during dialysis procedure: modern approach for diagnostics, prophylaxis and correction by V. Yu. Shilo, I. Yu. Drachev

“…Values of mean AP during hemodialysis procedures for the whole monitoring period were analyzed. The duration of the study was 3 weeks for all patients.Results. …”
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Accelerated Non-Contrast-Enhanced Three-Dimensional Cardiovascular Magnetic Resonance Deep Learning Reconstruction by Sukran Erdem, Orhan Erdem, M. Tarique Hussain, F. Gerald Greil, Qing Zou

“…Meanwhile, the effectiveness of Adaptive CS-Net, a vendor-supported deep-learning magnetic resonance (MR) reconstruction algorithm, for non-contrast three-dimensional (3D) whole-heart imaging using relaxation-enhanced angiography without contrast and triggering (REACT) remains uncertain. …”
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Construction of an oligometastatic prediction model for nasopharyngeal carcinoma patients based on pathomics features and dynamic multi-swarm particle swarm optimization support ve... by Yunfei Li, Dongni Zhang, Yiren Wang, Yiren Wang, Yiheng Hu, Zhongjian Wen, Zhongjian Wen, Cheng Yang, Ping Zhou, Wen-Hui Cheng

“…Whole-slide images were scanned, and three representative H&E-stained regions were selected for pathomics feature extraction via CellProfiler software. …”
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An innovative methodology for segmenting vessel like structures using artificial intelligence and image processing by Reynaldo Villarreal, Sindy Chamorro-Solano, Steffen Cantillo, Roberto Pestana-Nobles, Sair Arquez, Yolanda Vega-Sampayo, Leonardo Pacheco-Londoño, Jheifer Paez, Nataly Galan-Freyle, Cristian Ayala, Paola Amar

“…This is achieved by training algorithms to detect specific pixels, thereby recognizing details within images. …”
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Development of a Predictive Model for Estimating Stocks of Medicinal Plants Using GIS Tools on the Example of the Middle Urals by A. Yu. Turyshev, V. D. Belonogova, V. G. Luzhanin

“…Therefore, the inventory of stocks of medicinal plants in the Russian Federation as a whole and the Middle Urals, in particular, remains an urgent problem. …”
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Multi-label semantic segmentation of magnetic resonance images of the prostate gland by Mark Locherer, Christopher Bonenberger, Wolfgang Ertel, Boris Hadaschik, Kristina Stumm, Markus Schneider, Jan Philipp Radtke

“…To combine the datasets we denoise the contourings in our dataset by using an effective yet simple algorithm based on standard computer vision methods only. …”
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Models based on dietary nutrients predicting all-cause and cardiovascular mortality in people with diabetes by Fang Wang, Yukang Mao, Jinyu Sun, Jiaming Yang, Li Xiao, Qingxia Huang, Chenchen Wei, Zhongshan Gou, Kerui Zhang

“…The association of key dietary nutrients with all-cause and cardiovascular mortality were visualized by restricted cubic spline (RCS) models both in the whole and subgroups by sex, age, drinking and smoking status. …”
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Probabilistic alignment of multiple networks by Teresa Lázaro, Roger Guimerà, Marta Sales-Pardo

“…Our approach opens the door to a whole new family of network alignment algorithms, and to their application to problems for which existing methods are perhaps inappropriate.…”
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Validation of CT perfusion-based vascular territory mapping: correlation to visual pial grading and outcome measures by Michael Valente, Henry Ma, Andrew Bivard, Bernard Yan, Mark Parsons, Chushuang Chen, Milanka Visser

“…This observational study was performed to assess the hypothesis that the VTM algorithm may correlate to visual measurements of leptomeningeal grading and stroke outcome measures in acute middle cerebral artery (MCA) occlusion. …”
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D. M. Ovsianyko-Kulikovsky as an Orthologist: the Cognitive-evolutionary Coverage by Sergiy Popov

“…Since he had and still has his followers, whose books are still being reprinted, we can speak of the existence of an anti-language-evolutionary conservative party in Russian-language orthology, which can be recognized as quite natural for Russian society as a whole.…”
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Fractional Impervious Surface Mapping on Multispectral Images With Visible Shadows via a Bundle-Based Sparse Unmixing Model by Yanze Liu, Dacheng Li, Wei Xiong, Qijin Han, Lingling Ma

“…In addition, the sparse unmixing algorithm combined with the endmember bundle extraction technique can effectively distinguish impervious surfaces, vegetation, and soils, and the root-mean-square error, mean absolute error, and systematic error of the whole area are much lower than those of the traditional spectral unmixing method, which are approximately 5.52%, 5.86%, and 8.24% lower than those of FCLSU_MANU, respectively. …”
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COMPREHENSIVE CREDIT RISK ASSESSMENT OF UKRAINIAN BANKS by Larysa Hrytsenko, Liudmyla Pavlenko, Iryna Kozhushko, Onur Erişen

“…The financial stability of both individual banks and the banking sector as a whole depends on the feasibility and effectiveness of risk management. …”
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