The Evolution of Wisteria Vein Mosaic Virus: A Case Study Approach to Track the Emergence of New Potyvirus Threats by Massimiliano Morelli, Giusy D’Attoma, Pasquale Saldarelli, Angelantonio Minafra

“…A PhyML phylogenetic analysis, supported by clustering algorithm validation, identified a clear separation between two phylogroups. …”
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Data traceability mechanism based on consortium chain by Shoucai ZHAO, Lifeng CAO, Xuehui DU

“…With the unprecedented growth in the speed of data generation and circulation in the era of big data, the emergence of blockchain technology provides a new solution for data authenticity verification.However, with the increasing demand for data flow between different blockchains, new security issues arise.Cross-chain data transmission can lead to data leakage, and detecting data leakage caused by illegal access becomes challenging.To address these problems, a data traceability mechanism based on a consortium chain was proposed.A cross-blockchain data traceability model was designed, incorporating private data pipelines to ensure the security of cross-chain data transmission.User behaviors were recorded through authorization and access logs, ensuring the traceability of illegal unauthorized access.To improve the efficiency of data traceability and query, an on-chain and off-chain synchronous storage mechanism was adopted.The state of data flow before each transaction was encrypted and stored in the database, and its index was stored in the blockchain transaction.This enables a one-to-one correspondence between on-chain and off-chain data.Additionally, Merkle trees were introduced into the block body to store block summaries, enhancing the efficiency of block legitimacy verification.Based on the data storage form and cross-chain data interaction mechanism, a data traceability algorithm was designed.The traceability results were displayed in the form of an ordered tree.An experimental environment for consortium chain traceability was built using fabric, targeting the cross-domain data traceability scenario in the e-commerce industry.The GO language was used to simulate and test the data traceability performance with a large number of blocks and transactions.The results demonstrate that with the increasing number of blocks and transactions, the proposed data traceability mechanism maintains satisfactory performance.…”
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Assessment of technological capabilities to counter fraudulent practices in the banking sector by A. V. Berdyshev, I. E. Zarkhin, A. A. Katysheva

“…The purpose of the article is to assess the possibility of using machine learning technology by banks and develop an algorithm for detecting fraudulent transactions based on programming. …”
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Research on the Impact Scope of Bus Stations Based on the Application of Bus Lanes by Yi Luo, Dalin Qian

“…Furthermore, this paper proposed an algorithm for detecting communities in the improved bus transfer network to mine the transfer relations between any bus routes, and then, on the basis of the improved bus station network, designed a referable bus travel time and put forward an impact model to calculate the absolute impact and relative impact of bus lanes. …”
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ROLE OF MRI IN THE DIAGNOSIS OF URETERAL OBSTRUCTION IN CANCER PATIENTS (LITERATURE REVIEW) by Y. E. Suraeva

“…Complications related to the impairment of the urinary flow along the urinary tract in cancer patients are the important aspect in determining the treatment strategies for these patients. …”
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Density-Based Statistical Clustering: Enabling Sidefire Ultrasonic Traffic Sensing in Smart Cities by Volker Lücken, Nils Voss, Julien Schreier, Thomas Baag, Michael Gehring, Matthias Raschen, Christian Lanius, Rainer Leupers, Gerd Ascheid

“…In the last decade, the possibilities for traffic flow control have improved together with the corresponding management systems. …”
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Experimental Test Procedure of the Spatial Distribution of Environmental Parameters and Products of Combustion in a Residential Area and Adjacent Spaces by A. A. Antoshyn, S. A. Volkau

“…The impact of fire stage on the flow rate of optical radiation diffused by smoke is shown.The findings will enable to develop the testing methodology for fire detectors designed to protect living accommodations and people located in them, formulate the functioning effectiveness criteria (operation algorithms) for detectors, used in living accommodations.…”
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Development of PYMUS+ Code for Quantitative Evaluation of Nuclear Material Accounting (NMA) System by Byung Hee Won, Hee-Sung Shin, Se Hwan Park, Seong-Kyu Ahn

“…For these purposes, in the present study, the PYroprocessing Material flow and MUF Uncertainty Simulation+ (PYMUS+) code, which uses evaluation algorithms to calculate many safeguards factors such as MUF uncertainty, detection probability, and others, was developed. …”
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Magnetic Resonance Imaging in the Diagnosis of Aortic Wall Elastic Properties Disorders and Its Hemodynamics by K. R. Bril, A. A. Pronkin, T. N. Galyan, V. V. Khovrin

“…This means that, regardless of etiology, the early detection of a progressive loss of aortic elasticity is of great clinical importance in preventing the development of severe complications. …”
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Eco-friendly QbD-optimized chromatographic method for simultaneous analysis of metronidazole and nicotinamide with applications in permeation, stability, and sustainability evaluat... by Kanaka Parvathi Kannaiah, Mohamed A. M. Ali, Hemanth Kumar Chanduluru, Anis Ahmad Chaudhary, Mahmoud El-Maghrabey, Reem H. Obaydo, Galal Magdy, Mohamed A. El Hamd

“…Chromatographic separations were conducted with an RP-HPLC-photodiode array (PDA) system equipped with an ODS column using gradient elution of ethanol and phosphate buffer (10 mM, pH 3.5) at a flow rate of 1.0 mL/min. pre-optimized conditions were determined using a two-level full factorial design (23 FFD). …”
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A comprehensive review of heart rate measurement using remote photoplethysmography and deep learning by Uday Debnath, Sungho Kim

“…The rapid advancement of deep learning techniques in recent years has driven numerous studies to integrate these models with rPPG for HR detection in remote health monitoring systems. This study provides a comprehensive review of both conventional approaches and recent developments in rPPG and deep learning algorithms. …”
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Decoding bacterial methylomes in four public health-relevant microbial species: nanopore sequencing enables reproducible analysis of DNA modifications by Valentina Galeone, Johanna Dabernig-Heinz, Mara Lohde, Christian Brandt, Christian Kohler, Gabriel E. Wagner, Martin Hölzer

“…Recent advancements in real-time Nanopore sequencing and basecalling algorithms have enabled the direct detection of modified bases from raw signal data, eliminating the need for bisulfite treatment of DNA. …”
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Advancements in Bio‐Integrated Flexible Electronics for Hemodynamic Monitoring in Cardiovascular Healthcare by Ke Huang, Zhiqiang Ma, Bee Luan Khoo

“…Additionally, the review highlights the role of artificial intelligence algorithms and their practical applications in bio‐integrated electronics for hemodynamic detection. …”
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Delineating the Spatial Boundaries of Megaregions in China: A City Network Perspective by Wei Chen

“…In this study, on the basis of highway traffic flow data between cities, we integrate the community detection and core-periphery profile algorithms to characterize the city networks in China and identify the city groups and delineate the core structures of city groups, which are the underlying megaregional structures in China. …”
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Mammographic Screening as a Tool for Cardiovascular Risk Assessing. Part 2. Association of Breast Arterial Calcification and Cardiovascular Diseases by E. V. Bochkareva, I. V. Kim, E. K. Butina, I. D. Stulin, S. A. Trukhanov, B. A. Rudenko, S. A. Boytsov, O. M. Drapkina

“…In women with chronic kidney disease, the presence of BAC indicates a 4.5-fold increase in the risk of complications associated with impaired blood flow in peripheral arteries. It is shown that the addition of BAC to the generally accepted (standard) vascular risk assessment algorithms Framingham Risk Score and Pooled Cohort Equation significantly increases the accuracy of prediction of CHD (p=0.02 and p=0.010, respectively). …”
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Application of Bivariate Reproducing Kernel-Based Best Interpolation Method in Electrical Tomography by Yongguang Tan, Jingqi Wang, Junqi Yu, Boqi Wu, Jinchao Shen, Xiangchen Guo

“…Electrical Tomography (ET) technology is widely used in multiphase flow detection due to its advantages of low cost, visualization, fast response, non-radiation, and non-invasiveness. …”
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Implementasi Algoritma Support Vector Machine (SVM) Untuk Klasifikasi Penyakit Stroke by Danis Rifa Nurqotimah, Ahsanun Naseh Khudori, Risqy Siwi Pradini

“… Stroke or known as Cerebrovascular Accident (CVA) is a functional disorder caused by impaired blood flow function from within the human brain. Stroke carries a high risk of brain damage, paralysis, speech disorders, visual impairment, even death. …”
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The Potentials of Contrast-Free Renal ASL MRI Perfusion in the Diagnosis and Dynamic Follow-Up of Renal Lesions in Patients with Diffuse Liver Diseases by А. А. Telesh, Т. G. Morozova

“…We created the algorithm of DLD patients examination for early HRS diagnosis and follow-up. …”
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PreSCAN: A Comprehensive Review of Pre-Silicon Physical Side-Channel Vulnerability Assessment Methodologies by Md Kawser Bepary, Tao Zhang, Farimah Farahmandi, Mark Tehranipoor

“…We scrutinize established post-silicon techniques and provide a detailed comparative analysis of pre-silicon leakage assessment across different abstraction levels in the hardware design and verification flow. Furthermore, we categorize and discuss existing pre-silicon power and electromagnetic modeling techniques for leakage detection and mitigation that can be integrated with electronic design automation (EDA) tools to automate security assessments. …”
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Developing a Non-Invasive Intelligent System for Blood Glucose Level Estimation Using Reflective Optical Sensors by Mihaela MARIN, Teodora Alexandra DOBRIN, Florin Bogdan MARIN

“…The TCRT5000 sensor detects light reflectivity changes caused by blood flow, indirectly estimating glucose levels without the discomfort of invasive techniques. …”
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