A retrospective assessment of COVID-19 vulnerability index indicators and mortality rates pre-COVID-19 (2018–2020) and during COVID-19 (2020–2022) in a health and demographic surve... by Takwanisa Machemedze, Chodziwadziwa Whiteson Kabudula, Jean Juste Harrisson Bashingwa, Beth A. Tippett Barr, Nellie Myburgh, Sana Mahtab, Cleopas Hwinya, Stephen Tollman, Ziyaad Dangor, Shabir A. Madhi

“…We evaluated mortality rates and risk of death, prior to and during the COVID-19 pandemic, in relation to an individual’s COVID-19 vulnerability, based on a scoring algorithm developed in South Africa. Methods The analysis was undertaken using data from a health and demographic surveillance system (HDSS) in Soweto and Thembelihle, Gauteng, South Africa. …”
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Postnatal care could be the key to improving the continuum of care in maternal and child health in Ratanakiri, Cambodia. by Kimiyo Kikuchi, Junko Yasuoka, Keiko Nanishi, Ashir Ahmed, Yasunobu Nohara, Mariko Nishikitani, Fumihiko Yokota, Tetsuya Mizutani, Naoki Nakashima

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In vivo and in silico dynamics of the development of Metabolic Syndrome. by Yvonne J W Rozendaal, Yanan Wang, Yared Paalvast, Lauren L Tambyrajah, Zhuang Li, Ko Willems van Dijk, Patrick C N Rensen, Jan A Kuivenhoven, Albert K Groen, Peter A J Hilbers, Natal A W van Riel

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Unbalance Responses of Rotor/Stator Systems with Nonlinear Bearings by the Time Finite Element Method by D. Demailly, F. Thouverez, L. Jézéquel

“…Since the early 1970s, major works in rotordynamics were oriented toward the calculation of critical speeds and unbalance responses. …”
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Integrated unitarity for scattering amplitudes and the four-loop ladder Feynman integral by Piotr Bargieła

“…Abstract We consider multi-loop scattering amplitudes in dimensionally regularized Quantum Field Theory. We present an algorithmic way of reconstructing them from their cuts. …”
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Oral Cancer Screening by Artificial Intelligence-Oriented Interpretation of Optical Coherence Tomography Images by Kousar Ramezani, Maryam Tofangchiha

“…Optical coherence tomography (OCT) is an optical imaging modality that has been widely investigated in the field of oncology for identification of cancerous entities. 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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The Relationship Between Stiff Knee Gait Runner’s Dystonia and Musculoskeletal Knee Pathology: A Case Series by Jared A. Stowers, Derek S. Day, Steven Jow, Sarah Heins, Euan Forrest, Yonathan M. Assefa, Paige M. Lind, Afreen Mushtaheed, Frances T. Sheehan, Katharine E. Alter

“…Addressing both issues is essential for optimizing treatment outcomes, reducing pain, and improving function, especially since pain can trigger dystonia. Future research should determine the ideal sequence of interventions for RD patients with MSK issues to develop effective, personalized treatment algorithms.…”
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SELECTION OF LINEAR AND ELLIPTICAL OBJECTS IN THE IMAGE BASED ON THE CALCULATION OF THE CORRELATION COEFFICIENT by V. V. Bulatov

“…Traditionally, filtering, binarization, wavelet analysis, contour analysis are used. Also recently, algorithms based on neural networks have become popular. …”
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Analysis of the most Important Concepts Related to Social Distancing as A Result of COVID-19 Pandemic: A Review by Hiyam Hashem Saeed, Abdulbasit Alazzawia

“…The methods and knowledge of the basic algorithms used by previous researchers and studies, as well as the data set that can be used to evaluate algorithms that can tell when a distance is safe. …”
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ADAPTIVE COMPRESSING OF THE HIGH DYNAMIC RANGE OF DIGITAL RADAR SATELLITE IMAGES by V. V. Starovoitov

“…It is shown that the proposed solution allows creating a visually better image in comparison with the known algorithms.…”
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Radiomics for Machine Learning—A Multi-Class System for the Automatic Detection of COVID-19 and Community-Acquired Pneumonia from Computed Tomography Images by Vasileia Paschaloudi, Dimitris Fotopoulos, Ioanna Chouvarda

“…Coronavirus Disease 2019 (COVID-19), which has been spreading worldwide since 2020, has motivated scientists to develop automatic COVID-19 recognition systems, to enhance the clinical routine in overcrowded hospitals. …”
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A Unified Iterative Treatment for Solutions of Problems of Split Feasibility and Equilibrium in Hilbert Spaces by Young-Ye Huang, Chung-Chien Hong

“…As a consequence, we apply them to study the split feasibility problem, the zero point problem of maximal monotone operators, and the equilibrium problem and to show that the unique minimum norm solutions of these problems can be obtained through our algorithms. Since the variational inequalities, convex differentiable optimization, and Nash equilibria in noncooperative games can be formulated as equilibrium problems, each type of our algorithms can be considered as a generalized methodology for solving the aforementioned problems.…”
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Delay-Driven Routing for Low-Duty-Cycle Sensor Networks by Zuzhi Fan

“…We compare our design against state-of-the-art routing algorithms derived in wireless networks through large-scale simulations and testbed experiments, which show that our algorithms can achieve a significant reduction in delivery delay.…”
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Evaluating the Accuracy and Reliability of Real-World Digital Mobility Outcomes in Older Adults After Hip Fracture: Cross-Sectional Observational Study by Martin A Berge, Anisoara Paraschiv-Ionescu, Cameron Kirk, Arne Küderle, Encarna Micó-Amigo, Clemens Becker, Andrea Cereatti, Silvia Del Din, Monika Engdal, Judith Garcia-Aymerich, Karoline B Grønvik, Clint Hansen, Jeffrey M Hausdorff, Jorunn L Helbostad, Carl-Philipp Jansen, Lars Gunnar Johnsen, Jochen Klenk, Sarah Koch, Walter Maetzler, Dimitrios Megaritis, Arne Müller, Lynn Rochester, Lars Schwickert, Kristin Taraldsen, Beatrix Vereijken

“… BackgroundAlgorithms estimating real-world digital mobility outcomes (DMOs) are increasingly validated in healthy adults and various disease cohorts. …”
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Preface, Organisation, Reviewers, and Table of content by Isaac Sserwanga, Madelyn Sanfilippo, Charles Inskip, Annika Hinze, Rhea Rowena Ubana-Apolinario, France Bouthillier, Sara Martínez Cardama, Josep Cobarsí Morales, Alan César Belo Angeluci, Julián D. Cortés

“…In this conference iSchools community has investigated impact of algorithmic processes to inspire and explore new areas of research. …”
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Performance Estimation Based Multicriteria Partitioning Approach for Dynamic Dataflow Programs by Małgorzata Michalska, Nicolas Zufferey, Marco Mattavelli

“…The problem of partitioning a dataflow program onto a target architecture is a difficult challenge for any application design. In general, since the problem is NP-complete, it consists of looking for high quality solutions in terms of maximizing the achievable data throughput. …”
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Logical optimization the multilevel representations of systems of Boolean functions based on partitioning into blocksand Shannon decomposition by P. N. Bibilo, N. A. Kirienko, Y. Y. Lankevich

“…The procedures use algorithms for partitioning systems of functions into subsystems and algorithms for optimizing multilevel representations of functions based on Shannon decomposition. …”
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Regression-based investigation of latency in automated networks by Urooj Khan, Tariq Soomro, M.N. Brohi

“…Current systems utilizing Cloud-Fog architecture are still struggling to achieve this target. Many proposed algorithms are deployed to reduce the system latency to an acceptable level. …”
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Finite-Time Observer Based Cooperative Tracking Control of Networked Lagrange Systems by Gang Chen, Qing Lin

“…Based on graph theory and Lyapunov theory, the convergence analyses for the proposed algorithms are provided. The development in this paper is suitable for the general directed communication topology. …”
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Approach to Plagiarism Detection in Programming Assignments by Malek Algabri, Firdaus Alhrazi

“…In this paper, a methodology for detecting plagiarism in programming tasks, in particular in the visual programming category using deep learning and machine learning algorithms is proposed. Also, a solution has been proposed to detect plagiarism in the source code and interfaces that pertain    to programming assignments. …”
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