Pain in the lumbar spine: etiology, differential diagnosis and treatment (literature review and clinical case) by A. A. Kargaltsev, M. A. Makarov

“…Using the example of a clinical case, an algorithm for managing a patient with degenerative-dystrophic changes of the lumbar spine and osteoarthrosis using nonsteroidal anti-inflammatory drugs is considered.…”
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Option Pricing by Willow Tree Method for Generalized Hyperbolic Lévy Processes by Hongying Wu, Zhiqiang Zhou, Caijuan Kang

“…Secondly, the error of European option pricing is only determined by time partition ∆t under some conditions. Since the moments of Lévy measure are removed from this algorithm, our approach improves the stability and accuracy of WT in option pricing. …”
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Generalized Fractional Order Complex Lorenz System-Based Dual Layer Security Enhancement Approach by K. Meera, N. Selvaganesan

“…In this paper, the fractional order complex Lorenz system is considered and system parameters are optimized using sequential quadratic programming algorithm by considering a multi objective function. …”
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First aid for generalized seizures: modern approaches and opportunities for improvement by А. А. Birkun, L. I. Dezhurny

“…Generalized seizures are often complicated by life-threatening health problems (such as airway obstruction, suppressed respiration and severe injuries) or observed as a manifestation of sudden cardiac arrest that determines a need for rapid recognition and management of the problem. Since immediate arrival of emergency medical service (EMS) specialists to a victim is impossible in most cases, first aid (FA) provision by immediate witnesses of seizures is of paramount importance for preventing death.Objective: to analyze modern principles and approaches to FA provision for generalized seizures, to study existing organizational framework and to identify areas for improving the organization of FA provision for seizures, as well as to develop a draft domestic algorithm for distant consultation of untrained witnesses by emergency dispatchers on FA provision in generalized seizures.Material and methods. …”
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Optimization based tumor classification from microarray gene expression data. by Onur Dagliyan, Fadime Uney-Yuksektepe, I Halil Kavakli, Metin Turkay

“…These algorithms usually require parameter optimization to obtain accurate results depending on the type of data. …”
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Expectation-Maximization Aided Modified Weighted Sequential Energy Detector for Distributed Cooperative Spectrum Sensing by Mohammed Rashid, Jeffrey A. Nanzer

“…In this paper, we propose a modified WSED (mWSED) that uses the primary user states information over the window to aggregate only the highly correlated ED samples in its test statistic. In practice, since the PU states are a priori unknown, we also develop a joint expectation-maximization and Viterbi (EM-Viterbi) algorithm based scheme to iteratively estimate the states by using the ED samples collected over the window. …”
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Macrostructural Analysis of the Dynamics of the Two-Sector Economy by O. S. Sukharev, E. N. Voronchikhina

“…The purpose of the study is the formation of an algorithm for macrostructural analysis of the two-sector Russian economy with the identification of the main patterns and relationships of their joint dynamics — contribution to the overall growth rate, price dynamics, and the definition of a model for further development.   …”
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Electric Bus Charging Schedules Relying on Real Data-Driven Targets Based on Hierarchical Deep Reinforcement Learning by Jiaju Qi, Lei Lei, Thorsteinn Jonsson, Lajos Hanzo

“…It is proved that the flat policy constructed by superimposing the optimal high-level policy and the optimal low-level policy performs as well as the optimal policy of the original MDP. Since jointly learning both levels of policies is challenging due to the non-stationarity of the high-level agent and the sampling inefficiency of the low-level agent, we divide the joint learning process into two phases and exploit our new HER algorithm to manipulate the experience replay buffers for both levels of agents. …”
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Deep learning based reconstructions of the Atlantic meridional overturning circulation confirm twenty-first century decline by Simon L L Michel, Henk A Dijkstra, Francesco Guardamagna, Valérian Jacques-Dumas, René M van Westen, Anna S von der Heydt

“…Here, we use a deep learning algorithm and climate model simulations to accurately reconstruct the AMOC strength between 20° N and 60° N since 1900. …”
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Improved Water Level Retrieval in Complex Riverine Environments: Sentinel‐3 and Sentinel‐6 Altimetry Over China's Rivers by Chenqi Fang, Di Long, Qi Huang, Fanyu Zhao, Huaichuan Liu, Xingwu Duan, Aizhong Hou

“…This study presents an Improved Multiple Subwaveform Analysis (IMSA) algorithm based on the 50% Threshold and Ice‐1 Combined (TIC) algorithm, incorporating noise filtering into the subwave search module and refining the retracking strategy for multiple subwaves, independent of coarse digital elevation models (DEMs). …”
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An Efficient Image Encryption Using a Dynamic, Nonlinear and Secret Diffusion Scheme by Rachid RIMANI, Naima HADJ SAID, Adda ALI PACHA, Juan Antonio López RAMOS

“…Security analysis of cryptosystem demonstrates that the proposed diffusion scheme of RKP enhances the fortress of encryption algorithm, as can be observed in the entropy and other obtained values. …”
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Joint Power Allocation and Beamforming Design for Active IRS-Aided Secure Directional Modulation Systems by Yifan Zhao, Xiaoyu Wang, Kaibo Zhou, Xuehui Wang, Yan Wang, Wei Gao, Ruiqi Liu, Feng Shu

“…The CF solutions to BS beamforming vectors and IRS reflection coefficient matrix are respectively attained via NSP and MRR algorithms. For the PA factors, we take advantage of exhaustive search (ES) algorithm, particle swarm optimization (PSO) and simulated annealing (SA) algorithm to search for the solutions. …”
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Prediction of Rheological Parameters of Polymers by Machine Learning Methods by T. N. Kondratieva, A. S. Chepurnenko

“…Thus, the k-nearest neighbor algorithm and SVM can be used to predict the rheological parameters of polymers as an alternative to artificial neural networks and the CatBoost algorithm, requiring less effort to preset adjustment. …”
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Value chain optimization in large scale gas network considering elevation and transmission direction by Xifeng Ning, Jinfeng Qiu, Dejun Yu

“…The company solves this single-period problem and uses the solution as the operation basis for the next month. We propose an algorithm based on sequential linear programming, which we test on the company’s network. …”
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From Rating Predictions to Reliable Recommendations in Collaborative Filtering: The Concept of Recommendation Reliability Classes by Dionisis Margaris, Costas Vassilakis, Dimitris Spiliotopoulos

“…The efficacy of the presented algorithm is evaluated through an extensive multi-parameter evaluation process, which demonstrates that it significantly enhances recommendation quality.…”
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Antenna Modeling and Reconstruction Accuracy of Time Domain-Based Image Reconstruction in Microwave Tomography by Andreas Fhager, Shantanu K. Padhi, Mikael Persson, John Howard

“…In this paper an antenna system immersed in water is used to image different canonical objects in order to investigate the implication of modeling errors on the final reconstruction using a time domain-based iterative inverse reconstruction algorithm and three-dimensional FDTD modeling. With the test objects immersed in a background of air and tap water, respectively, we have studied the impact of antenna modeling errors, errors in the modeling of the background media, and made a comparison with a two-dimensional version of the algorithm. …”
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Automated classification of MESSENGER plasma observations via unsupervised transfer learning by Vicki Toy-Edens, Wenli Mo, Robert C. Allen, Sarah K. Vines, Savvas Raptis

“…While our method requires modifications to the model from post-cleaning rules due to instrument effects, it allows for rapid classification using just a few examples to generate post-cleaning rules. Since there is no ground truth or standardized validation set to compare with, we compare our model’s result with published magnetopause and bow shock lists and find that the clustering algorithm is agreement with 67% of bow shock crossings and 74% of magnetopause crossings. …”
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Fuzzy Logic Controller Based Hybrid Anti Islanding Protection Scheme for Distributed Generators by Dhanashri Changan, Pranav Darji

“…Initially, the devised algorithm incorporates the voltage superimposition of the d-axis. …”
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H∞ filtering of uncertain predictive models: Gain computation using LMI and performance evaluation by Eli G. Pale Ramon, Oscar G. Ibarra-Manzano, José A. Andrade-Lucio, Yuriy S. Shmaliy

“…The filter is designed for processes represented in discrete time using the forward Euler method, which allows for predictive modeling. Since the error covariance of a state estimator is a quadratic function of K, a new theorem is proved and a numerical algorithm is developed for computing K using linear matrix inequality (LMI). …”
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A Model of Gamification by Combining and Motivating E-Learners and Filtering Jobs for Candidates by Sherin Eliyas, Ranjana P

“…Beyond this, this algorithm can be employed to host courses on the website. …”
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