Whole-Body Diffusion-Weighted Magnetic Resonance Imaging and Positron Emission Tomography Combined with Computed Tomography in the Staging of Lymphomas by S. A. Kharuzhyk, E. A. Zhavrid, A. V. Dzyuban, K. V. Poddubnyy, E. V. Sukolinskaya, O. A. Kalenik

“…The new lymphoma staging algorithm based on whole-body DW-MRI is superior to PET/CT and PET/CT with BM biopsy.…”
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High-Precision Diagnosis of the Whole Process of Laser-Induced Plasma and Shock Waves Using Simultaneous Phase-Shift Interferometry by Lou Gao, Hongchao Zhang, Jian Lu, Zhonghua Shen

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Hybrid Impedance-Based Controller Design of Grid-Connected Converter for Whole-System Stabilization of Grid-Connected DC Microgrids by Yuxin Zhu, Fei Wang, Zhengyu Lin, James Fleming

“…With the development of DC microgrids, the DC section will gradually integrate more distributed energy resources and be compatible with various system operations, so it will be increasingly challenging to design the controller of GCCs to ensure the whole-system stability. To address this problem, this paper proposes a hybrid impedance-based controller design from the whole-system stabilisation perspective. …”
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Capturing resilience from phenotypic deviations: a case study using feed consumption and whole genome data in pigs by Enrico Mancin, Christian Maltecca, Jicaj Jiang, Yi Jian Huang, Francesco Tiezzi

“…We subsequently integrated these indicators with Whole Genome Sequencing using SLEMM algorithm, data from 1,250 animals to assess their efficacy in capturing resilience and their independence from the mean of daily feed consumption. …”
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Type VII secretion system gene mutations driving global mycobacterium tuberculosis transmission revealed by whole genomic sequence by Jian-Jun Yang, Jian-Jun Yang, Yuan-long Hu, Ping-yi Sun, Ling Wang, Xian-Jin Xie, Ting-Ting Wang

“…Initially, Boruta algorithm was used to pinpoint SNPs that were significant for TB transmission. …”
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AI-Based Noise-Reduction Filter for Whole-Body Planar Bone Scintigraphy Reliably Improves Low-Count Images by Csaba Csikos, Sándor Barna, Ákos Kovács, Péter Czina, Ádám Budai, Melinda Szoliková, Iván Gábor Nagy, Borbála Husztik, Gábor Kiszler, Ildikó Garai

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Predicting the animal hosts of coronaviruses from compositional biases of spike protein and whole genome sequences through machine learning. by Liam Brierley, Anna Fowler

“…More widely, this work demonstrates the potential in combining genetic resources with machine learning algorithms to address long-standing challenges in emerging infectious diseases.…”
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Radiomics Analysis of Whole-Kidney Non-Contrast CT for Early Identification of Chronic Kidney Disease Stages 1–3 by Guirong Zhang, Pan Zhang, Yuwei Xia, Feng Shi, Yuelang Zhang, Dun Ding

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Data Security Model Using (AES-LEA) Algorithms for WoT Environment by Zinah A. Al-jazaeri, Joolan Rokan Naif, Ahmad Mohamad Ghandour

“…This paper presents a new hybrid method for the encryption of information to be more suitable for embedded devices in the WoT environment by modifying the Advanced Encryption Standard AES algorithm and hybridizing it with the Lightweight Encryption Algorithm LEA algorithm as well as the Secure Hash Algorithm version 3 SHA3-256 algorithm for integrity and using four dimensional-NSJR system for generation of chaos keys. …”
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Exploring Multi-Pathology Brain Segmentation: From Volume-Based to Component-Based Deep Learning Analysis by Ioannis Stathopoulos, Roman Stoklasa, Maria Anthi Kouri, Georgios Velonakis, Efstratios Karavasilis, Efstathios Efstathopoulos, Luigi Serio

“…Detection and segmentation of brain abnormalities using Magnetic Resonance Imaging (MRI) is an important task that, nowadays, the role of AI algorithms as supporting tools is well established both at the research and clinical-production level. …”
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Universal algorithm of processing of requests with use of parallel technology by Timofeeva N.E., Dmitrieva K.A.

“…In this paper we consider modern methods and models of query processing in databases. We offer an algorithm to service the request of users, which involves the use of parallel technologies in the exchange of information with the nodes of a distributed database and a dictionary, and also allows to increase the query execution time, which in turn will increase the speed of the system as a whole. …”
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DMS Algorithm in the Application of the Map/Reduce Tasks Schedule by PEI Shu-jun, KONG De-kai, MIAO Hui

“…The whole efficiency of traditional task scheduling algorithms is low under the cloud environment, In order to improve the whole efficiency of the task scheduling, this article based on Map/Reduce presents a Difference Matrix Scheduling tasks schedule algorithm based on processing time. …”
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AN ALGORITHM FOR CONSTRUCTING PLAN DEVELOPMENT OF THE EDUCATION SYSTEM OF THE REGION by Oksana V. Erashova

“…This article formed the algorithm for constructing the plan of development of the education system provided by a novel combination of strategic planning tools…”
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Swarm Behaviour Optimisation Methods Based on an Original Algorithm by Krzysztof FALKOWSKI, Michał DUDA

“…This article presents an authorial swarm algorithm that performs coverage tasks using the Sweep Coverage method. …”
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Improved tree structure anti-collision algorithm of RFID by Xue WANG, Zhi-hong QIAN, Xiao-hui LIU, Chao CHENG

“…The whole big query tree is divided into several branches,and the work of tag recognition is executed in each branch,thus reducing the probability of tag collision.The proposed algorithm can be divided into prefix determination and branch query two phases.In the prefix determination phase,the prefix of every tag is identified,and each prefix denotes a branch.Traverse each branch by turns to recognize tags; in the branch query phase,backward search strategy and dynamic search method are used.Theoretical analysis and simulation experiment show that when the improved algorithm can improved the overall performance of RFID system from the aspects of the number of queries,time delay,and throughput.…”
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Distributed aggregate algorithm for average query based on WSN by LIU Cai-ping1, LI Ren-fa1, LIU Xi-ping2

“…In DAA, the com- putation process of each node in WSN used the information gathered from just a few nearby neighbors. The algorithm offered a fundamentally distributed solution to analyze data locally without necessarily collected the information of whole nodes to a single central site, and did not require data fusion and long-distance communication. …”
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An evolutionary-based optimization algorithm for truss sizing design by Pham Hoang Anh

“…Three truss sizing benchmark problems with discrete variables are used to examine the performance of the proposed algorithm. Objective functions of the optimization problems are minimum weights of the whole truss structures and constraints are stress in members and displacement at nodes. …”
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Real time interpolation algorithm based on Lanczos kernel by Ying GUO, Lun LI, Peng WANG

“…In order to improve the timeliness and reliability of color image scaling algorithms,a high effective real-time color image scaling algorithm was proposed,which first generated the kernel look up table that could be used for whole target image based on Lanczos kernel,and interpolation of all target image pixels had only fixed point operation which had low computational complexity.Meanwhile,an optimized method for rasterizing pixels of target image was proposed,which needed little memory space but embraced high efficiency of memory utilization.The experiment results show that the proposed algorithm achieves good image quality,and the computational complexity is far more less than classic image scaling algorithms.So the proposed algorithm can effectively implement real-time resizing of color images and color videos in any scaling factors.…”
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Convergence of a Belief Propagation Algorithm for Biological Networks by Sang-Mok Choo, Young-Hee Kim

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K-Medoid Algorithm in Clustering Student Scholarship Applicants by Sofi Defiyanti, Mohamad Jajuli, Nurul Rohmawati

“…Data will be converted into three datasets with different formats, namely the partial codification attribute data, attributes and attribute the overall codification of the original data. Value purity on the whole dataset of data codification greatest value is 91.67%, it can be concluded that the K-Medoids algorithm is more suitable for use in a dataset with attributes encoded format overall. …”
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