Early caplacizumab and obinutuzumab enable successful treatment of relapsing thrombotic thrombocytopenic purpura without therapeutic plasma exchange: a case report by Judith Schimpf, Patrizia Haller, Emanuel Zitt, Emanuel Zitt, Emanuel Zitt

“…So far, therapeutic algorithms almost universally include the prompt initiation of therapeutic plasma exchange (TPE). …”
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SOME PROBLEMS OF STUDENT INDIVIDUAL WORK ORGANIZATION AT TECHNICAL UNIVERSITY by I. O. LEUSHIN, I. V. LEUSHINA

“…Among them the authors mark out the discrepancy between the traditional interpretation of a term “student individual work” by the academic community and its treatment by the Ministry of Education and Science of the Russian Federation, the low students’ motivation to individual work, the lack of a clear selection algorithm of certain forms and methods of individual work that have already proved their efficiency and understandable for lecturers, university teachers’ disregard to different levels of students’ preparedness to self- dependent work. …”
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A GenEO Domain Decomposition method for Saddle Point problems by Nataf, Frédéric, Tournier, Pierre-Henri

“…We introduce an adaptive element-based domain decomposition (DD) method for solving saddle point problems defined as a block two by two matrix. The algorithm does not require any knowledge of the constrained space. …”
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An Optimized Topology Discovery Mechanism in Software Defined Networks by LI Lan-ying, WANG Min, ZHU Su-xia

“…First, based on the idea of minimum vertex coverage of the graph, the greedy algorithm is used to achieve the minimum switch coverage of the network topology, and then the port classification and hash strategy are used to eliminate redundant data packets in the network. …”
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Comparison of Gaussian Elimination and Cholesky Decomposition Solving A Linear System Of Equation. by Nzabonimpa, Godfrey

“…It is found out that Gaussian elimination is an algorithm in linear algebra for solving a system of linear equations and can also be used to find the rank of a matrix, to calculate the determinant of a matrix, and to calculate the inverse of an invertible square matrix Whereas Cho!…”
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A Comparison of Gaussian Elimination and Cholesky Decomposition Methods in Solving a System of Linear Equations. by Niringiye, Richard

“…It is found out that Gaussian elimination is an algorithm in linear algebra for solving a system of linear equations and can also be used to find the rank of a matrix, to calculate the determinant of a matrix, and to calculate the inverse of an invertible square matrix Whereas Cholesky decomposition is a decomposition of a Hermitian, positive-definite matrix into the product of a lower triangular matrix and its conjugate transpose, which is useful for efficient numerical solutions.…”
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Fréchet Random Noise for k-Regime-Switching Mixture Autoregressive Model by Rasaki, Olawale Olanrewaju, Anthony, Gichuhi Waititu, Nafiu, Lukman Abiodun

“…Fréchet Mixture Autoregressive (FMAR) model of k-regime-switching, denoted by FMAR(k; p1, p2 ,, pk ) was developed and Expectation-Maximization (EM) algorithm was used as a method of parameter estimation for the embedded coefficients of AR of k-mixing weights and lag pk. …”
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Systematic pan-cancer analysis identified NCOA4 as an immunological and prognostic biomarker and validated in lung adenocarcinoma by An Wang, Yun-ye Mao, Tao Li, Xin Zhou, Yi-bing Bai, Jia-pei Qin, Yi Dong, Ting Wang, Tong Zhang, Zhi-qiang Ma, Yi Hu

“…LUAD samples were stained using immunohistochemistry (IHC). TIDE algorithm was used to predict immune checkpoint blockade (ICB) response within the TCGA-LUAD cohort. …”
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Reliability Analysis of Three-dimensional Soil Slopes Considering Spatial Variability of Soil Parameters by Wan Yukuai, Zhou Yuqi, Shao Linlan, Wang Yuke, Zhang Fei

“…To complement the random field modeling, an enhanced PSO algorithm is proposed for 3D slope stability analysis. …”
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Machine learning predicts improvement of functional outcomes in spinal cord injury patients after inpatient rehabilitation by Mohammad Rasoolinejad, Irene Say, Peter B. Wu, Xinran Liu, Yan Zhou, Yan Zhou, Nathan Zhang, Emily R. Rosario, Daniel C. Lu, Daniel C. Lu, Daniel C. Lu

“…The ability to accurately predict functional outcomes for SCI patients is essential for optimizing rehabilitation strategies, guiding patient and family decision making, and improving patient care.MethodsWe conducted a retrospective analysis of 589 SCI patients admitted to a single acute rehabilitation facility and used the dataset to train advanced machine learning algorithms to predict patients' rehabilitation outcomes. …”
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Design of upper limb muscle strength assessment system based on surface electromyography signals and joint motion by Siqi Wang, Wei Lai, Yipeng Zhang, Junyu Yao, Xingyue Gou, Hui Ye, Jun Yi, Dong Cao

“…The extracted features from the sEMG and joint motion data were analyzed using three algorithms: Random Forest (RF), Backpropagation Neural Network (BPNN), and Support Vector Machines (SVM), to predict muscle strength through regression models. …”
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Social Media and Society: Platforms, Publics, and Anti-Publics by Zoetanya Sujon, Harry T. Dyer, Felipe Bonow Soares

“…The Special Issue on Platforms, publics, and anti-publics focused on the complex intersection of platforms, including issues around their ownership, datafication, business models, and algorithms; and the emergence of publics and anti-publics online, which has been increasingly impacted by platforms infrastructures and designs. …”
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Grey Wolf Resampling-Based Rao-Blackwellized Particle Filter for Mobile Robot Simultaneous Localization and Mapping by Yong Dai, Ming Zhao

“…In addition, we propose an adaptive local data association (Range-SLAM) scheme to improve the computational efficiency for the algorithm of the nearest neighbor (NN) data association in the iteration of the RBPF prediction. …”
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Adaptive Localization in Wireless Sensor Network through Bayesian Compressive Sensing by Zuoxin Xiahou, Xiaotong Zhang

“…Furthermore, we provide adaptive iteration BCS localization (AIBCSL) algorithm, which is based on BCS and will choose measurement sensors according to the environment adaptively with only an initial value, while other frameworks require prior knowledge such as target numbers to choose measurements. …”
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Legal Considerations in Machine-Assisted Decision-Making: Planning and Building as a Case Study by Yee-Fui Ng, Eric Windholz, James Moutsias

“…It examines issues of transparency, algorithmic bias, privacy, data and intellectual property rights, as well as the implications of the use of generative Artificial Intelligence (AI). …”
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Physics-informed neural networks viewpoint for solving the Dyson-Schwinger equations of quantum electrodynamics by Rodrigo Carmo Terin

“…Also, we benchmark our approach against a traditional numerical algorithm showing the main differences among them. …”
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Multiple People Tracking Using Camera Networks with Overlapping Views by Wan Jiuqing, Li Achuan

“…In each round of our algorithm, the people are detected by inference on a factor graph model at each time slice. …”
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Oral Cancer Screening by Artificial Intelligence-Oriented Interpretation of Optical Coherence Tomography Images by Kousar Ramezani, Maryam Tofangchiha

“…Since the interpretation of OCT images requires professional training and OCT images contain information that cannot be inferred visually, artificial intelligence (AI) with trained algorithms has the ability to quantify visually undetectable variations, thus overcoming the barriers that have postponed the involvement of OCT in the process of screening of oral neoplastic lesions. …”
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Using Fuzzy Feed-Forward Neural Network for Linguistic Processing by AbdulRahim K. Rah, Sozan S. Haydar

“…At that point, created a learning algorithm from the cost capacity to align the four variables of each trapezoidal fuzzy weight. …”
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Research on Dynamic Performance of Autonomous-rail Rapid Tram by ZHONG Hanwen, LI Xiaoguang, XIAO Lei, YANG Yong, ZHANG Chenlin, HUANG Ruipeng, YUAN Xiwen

“…In order to research the dynamic performance of the tram, a mathematical model based simulation research was carried out to support the algorithm design and to verify the strategies adopted by the central virtual track line following controller and the automatic tracking steering controller. …”
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