NEONATOLOGIST'S TACTICS IN CASES OF NEWBORN CONGENITAL MALFORMATION by Y. I. Kucherov

“…Early detection and rational therapy whereupon a child is born to a large extent determine a favorable outcome of surgical treatment and prognosis in whole. The article gives a description of the most frequent congenital malformations and an algorithm of managing newborns with this pathology on the maternity hospital stage.…”
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CLUSTER CREATING CONDITIONS by Yu. N. Lapygin, D. V. Tulinova

“…The dynamics of cluster formation in the context of the federal districts and Russia as a whole has been considered, trends in the development of cluster initiatives, as well as the basic principles for creating clusters have been analysed. …”
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Estimating elastic properties of sediments by pseudo-wells generation utilizing simulated annealing optimization method by Nasser Keshavarz Faraj Khah, Bahare Salehi, Pooria Kianoush, Shahab Varkouhi

“…This information commonly results from pre-stack seismic inversion, while post-stack seismic information provides acoustic impedance as a layer-based property. …”
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Survey on IPv6 address scanning technology based on seed sources by Guo LI, Lin HE, Guanglei SONG, Zhiliang WANG, Jiahai YANG, Zimu LI

“…Nowadays,the state-of-the-art technologies can spend a very short time to scan the whole IPv4 space,but these methods cannot be applied to the huge IPv6 space easily.Therefore,many researchers propose different heuristic algorithms for the sake of IPv6 scanning.The common way of these algorithms is to input collected IPv6 seed addresses and output new most likely active IPv6 addresses as candidates for later scanning.These methods greatly reduce the scanning range of the active address area.These technologies based on seed addresses were classified,analyzed and summarized,and detailed analysis of the advantages and disadvantages of each method was given.And the several challenges faced by the methods were discussed.73M seed addresses were collected in total from two sources,including published IPv6 datasets in papers and Beijing Node of China Education and Research Network.Through the proposed experiments,time performance and hit rate of four IPv6 address scanning technologies based on seed addresses was compared.Finally,the own thoughts on this field and some future research directions were proposed.…”
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Application of Hybrid Finite Element-Boundary Integral Algorithm for Solving Electromagnetic Scattering from Multiple Objects over Rough Sea Surface by Run-Wen Xu, Li-Xin Guo

“…A hybrid algorithm of the finite element method (FEM) is presented to solve two-dimensional (2D) scattering from multiple dielectric objects above the rough sea surface. …”
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A New Novel Synchronization Index of Brain Networks in Hyperbolic EEG Dynamics by Rüştü Murat Demirer

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ARTIFICIAL NEURAL NETWORK FOR MODELS OF HUMAN OPERATOR by Martin Ruzek

“…The search for a compromise between the complexity of biological neural network and the practical feasibility of the artificial network led to a new learning algorithm. This algorithm is based on the classical multilayered neural network; however, the learning rule is different. …”
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A Vehicle Path Planning Algorithm Based on Mixed Policy Gradient Actor-Critic Model with Random Escape Term and Filter Optimization by Wei Nai, Zan Yang, Daxuan Lin, Dan Li, Yidan Xing

“…Deep reinforcement learning (DRL), as a state-of-the-art solution method in vehicle path planning, can better balance the ability and complexity of the algorithm to reflect the real situation. However, DRL has its own disadvantages of higher search cost and earlier convergence to the local optimum, as vehicle path planning issues are usually in a complex environment, and their action set can be diverse. …”
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KF-NIPT: K-mer and fetal fraction-based estimation of chromosomal anomaly from NIPT data by Dongin Kim, Ji Yeon Sohn, Jin Hee Cho, Ji-Hye Choi, Gwi-young Oh, Hyun Goo Woo

“…Results We developed a KF-NIPT, a new algorithm that estimate chromosomal anomaly by calculating K-mer-based sequence depth and fetal fraction from the whole genome sequencing (WGS) data. …”
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Unveiling the optimal factor model in Pakistan: a machine learning approach using support vector regression and extreme gradient boosting algorithms by Rizwan Ullah, Muhammad Naveed Jan, Muhammad Tahir

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On the Convergence of Maximum Likelihood Expectation–maximization Algorithm for Iterative Tomographic Reconstruction and the Role of Spatial Frequency, Location, Pixel Intensity, C... by Mohsen Qutbi

“…Background: It is desirable to iterate the maximum likelihood expectation–maximization (MLEM) algorithm to the point of convergence to obtain the optimal result. …”
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Comparative Evaluation of Reinforcement Learning Algorithms for Multi-Agent Unmanned Aerial Vehicle Path Planning in 2D and 3D Environments by Mirza Aqib Ali, Adnan Maqsood, Usama Athar, Hasan Raza Khanzada

“…Furthermore, our findings reveal how algorithms perform while transitioning from a simplistic 2D setup to a realistic 3D physics-based environment, which is essential for performing sim-to-real transfer. …”
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Determination of future gully erosion risk and its spatially quantitative interpretability of driving factors in regional scale using machine learning algorithms by Xin Liu, Dichen Wang, Mingming Guo, Xingyi Zhang, Zhuoxin Chen, Zhaokai Wan, Jielin Liu

“…The GERM was realized by four machine learning algorithms including Random Forest (RF), XGBoost, K-Nearest Neighbor (KNN), and Multi-layer perceptron of artificial neural networks (ANN-MLP). …”
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Identification and validation of genes related to stem cells and telomere maintenance mechanisms as biomarkers for breast cancer by Shuang Zhen, Lifeng Huang, Qiannan Zhu, Rui Chen, Jue Wang, Xiaoming Zha

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Multi-Source Fusion Algorithms for Satellite Image Resolution Enhancement in Urban Land Cover Mapping of Ho Chi Minh City, Vietnam by Ha Tran Phuong, Ha Tuan Cuong

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Applicable Image Security Based on Computational Genetic Approach and Self-Adaptive Substitution by Nawal Shaltout, Ahmed A.Abd El-Latif, Waleed M. Al-Adrousy, Samir Elmougy

“…Hence, it is essential to investigate and develop new cryptographic algorithms to ensure the protection and privacy of multimedia data at rest and during transmission through the communication channel while attempting to overcome the limitations of traditional cryptographic methods. …”
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Feasibility of knee magnetic resonance imaging protocol using artificial intelligence-assisted iterative algorithm protocols: comparison with standard MRI protocols by Hailong Liu, Yanxia Chen, Meng Zhang, Han Bu, Fenghuan Lin, Jun Chen, Mengqiang Xiao, Jie Chen

“…SD images were processed using standard reconstruction techniques, while accelerated images utilized AIIA reconstruction. …”
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Multidimensional routing with the increased navigation accuracy with the maintenance of flight notifications of the flight vehicles by V. I. Goncharenko, G. N. Lebedev, V. B. Malygin

“…While planning the routes it is also necessary to consider the interests of different interested groups, which are often opposite to one another. …”
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Implementation of the Advanced Encryption Standard (AES) Algorithm and Bit Plane Complexity Segmentation (BPCS) Steganography Technique for Enhancing Text File Security by Afthar Kautsar, Muhammad Ikhsan

“…The data embedded in the image can be extracted with a success rate of 100%, while the image quality remains intact without noticeable changes. …”
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Advanced control and optimization techniques for DFIG wind energy systems: A case study using pelican algorithm and CTID-PID controller by P. V. S. S. A. Parimala, Narendra Babu P

“…The RSC is controlled using the pelican optimization technique, a nature-inspired algorithm that effectively tunes control parameters to achieve optimal dynamic response and minimize power losses, enabling maximum wind power capture while maintaining stability. …”
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