Effect of the time factor on the hydraulic activity of mechanically activated saponin-containing powder by Marina V. Morozova, Maria A. Frolova

“…To perform potentiometric analysis, an electrode system consisting of a measuring electrode with a calcium ion detection function (pCa) and a reference electrode was used. …”
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sEMG-Based Control of Prosthesis Hand Using LSTM Classification and SMC by Amanual Tesfaye Takele, Dereje Shiferaw Negash

“…Once the required hand gesture was identified from the sEMG signal, interpretation of the gesture into individual fingers joint angles was done using cubic polynomial path-planning algorithm. These joint angle trajectories were used to command the robotic hand using Sliding Mode Control (SMC) controller. …”
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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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Average miniature post-synaptic potential size is inversely proportional to membrane capacitance across neocortical pyramidal neurons of different sizes by Martynas Dervinis, Guy Major

“…Here, using a new software package called ‘minis,’ we describe a novel quantal analysis method that estimates the effective ‘electrical sizes’ of synapses by comparing events detected in somatic recordings from the same neuron of (a) real minis and (b) background noise (with minis blocked pharmacologically) with simulated minis added by a genetic algorithm. …”
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Bearing Early Fault Diagnosis Based on an Improved Multiscale Permutation Entropy and SVM by Qunyan Jiang, Juying Dai, Faming Shao, Shengli Song, Fanjie Meng

“…Aiming at SVM parameter optimization problem, an improved chaos firefly optimization algorithm was proposed. Experimental results show that the new method of early weak fault identification based on IMPE-SVM was effective in detecting rolling bearing faults with different severity.…”
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Coupling an Autonomous UAV With a ML Framework for Sustainable Environmental Monitoring and Remote Sensing by Faris A. Almalki, Shafaa M. Salem, Waad M. Fawzi, Norah S. Alfeteis, Shams A. Esaifan, Anoud S. Alharthi, Reef Z. Alnefaiey, Qamar H. Naith

“…The second brain is responsible for precise and crucial agricultural tasks: counting trees, detecting water locations, and observing and analyzing plants using the Faster R-CNN algorithm. …”
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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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Unveiling Hidden Structures: Multi-Platform IoT Malware Analysis Using Graph Embeddings by Remus M. Petrache, Ciprian Oprisa, Camelia Lemnaru

“…This paper explores the use of control-flow information for detecting IoT malware across three different platforms. …”
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Evaluation of Left Ventricular Rotation Using Speckle Tracking Technique in Echocardiographic Images of Coronary Artery Stenosis Patients by Zeinab Alsadat Ahmadi, Manijhe Mokhtari-Dizaji, hamideh khesali

“…LV twist was computed using the speckle tracking algorithm, and LV rotation parameters were obtained from the short-axis view at the base and apex. …”
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3D Human Motion Capture Method Based on Computer Vision by A. D. Obukhov, D. L. Dedov, E. O. Surkova, I. L. Korobova

“…Therefore, the research objective is to increase the accuracy of determining the coordinates of the human body in three-dimensional  coordinates  through  developing  a  motion  capture  method  based  on  computer  vision  and  triangulation algorithms.Materials and Methods.  A  method  of  motion  capture  was  presented,  including  calibration  of  several  cameras  and formalization of procedures for detecting a person in a frame using a convolutional neural network. …”
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Feature fusion with attributed deepwalk for protein–protein interaction prediction by Mei-Yuan Cao, Suhaila Zainudin, Kauthar Mohd Daud

“…While experimental methods for detecting PPIs exist, computational approaches offer a more efficient alternative. …”
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An AIoT-Based Automated Farming Irrigation System for Farmers in Limpopo Province by Relebogile Langa, Michael Nthabiseng Moeti, Thabiso Maubane

“…A machine learning precipitation prediction algorithm optimizes water usage. The paper also describes a system with multiple sensors that detect soil parameters, and automatically irrigate land based on soil moisture by switching the motor on/off. …”
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A Model Transformation Method Based on Simulink/Stateflow for Validation of UML Statechart Diagrams by Runfang Wu, Ye Du, Meihong Li

“…Second, an automated transformation algorithm is developed to bridge graphical modeling tools with formal verification environments, supported by quantitative evaluation metrics for mapping validity. …”
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Classifying metro drivers’ cognitive distractions during manual operations using machine learning and random forest-recursive feature elimination by Haiyue Liu, Yue Zhou, Chaozhe Jiang

“…Cognitive distractions in parking phase are difficult to be detected using HR-HRV features.…”
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The Value of Subclinical Carotid Atherosclerosis for Primary Prevention of Cardiovascular Diseases. Review of the Main International Studies by E. K. Butina, E. V. Bochkareva

“…It allows assessing the intima-media thickness (IMT) and detecting the presence, location and morphology of atherosclerotic plaques (ASP), in other words, subclinical signs of atherosclerosis. …”
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Fault Diagnosis and Tolerant Control of Current Sensors Zero-Offset Fault in Multiphase Brushless DC Motors Utilizing Current Signals by Wei Chen, Zhiqi Liu, Zhiqiang Wang, Chen Li

“…Firstly, sliding time window monitoring is used to identify steady-state amplitude anomalies and locate faulty sectors. Subsequently, an algorithm for detecting the difference in current changes during sector switching is designed, and a logic interlocking verification mechanism is combined to eliminate false triggering and accurately locate single or multiple fault phases. …”
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Early prediction of grape disease attack using a hybrid classifier in association with IoT sensors by Apeksha Gawande, Swati Sherekar, Ranjit Gawande

“…IoT will increasingly be used in precision agriculture and smart environments to detect, gather, and share data about environmental occurrences. …”
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Optimal Asynchronous Guaranteed Cost Control of Uncertain Markov Jump Systems With Actuator Saturation and Nonideal Transition Probabilities by Jiazheng Liu, Yang Yang, Yaru Song

“…Finally, a convex optimization algorithm is proposed to design the optimal asynchronous event-triggered guaranteed cost control law, and a DC motor model is provided to validate its effectiveness.…”
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Unilateral versus bilateral pedicle screw fixation in lumbar fusion: A systematic review of overlapping meta-analyses. by Yachao Zhao, Sidong Yang, Wenyuan Ding

“…Then, the Jadad decision algorithm was applied to select the highest-quality study to represent the current best evidence.…”
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An optimization method to improve the performance of unmanned aerial vehicle wireless sensor networks by Hui-Ru Cao, Zhi Yang, Xue-Jun Yue, Yong-Xin Liu

“…Additionally, a simulated annealing algorithm is employed to detect the optimal flight trajectory according the ground wireless sensor network architecture. …”
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