Stabilization of diastolic calcium signal via calcium pump regulation of complex local calcium releases and transient decay in a computational model of cardiac pacemaker cell with... by Alexander V Maltsev, Victor A Maltsev, Michael D Stern

“…One major obstacle to study these mechanisms is that LCR exhibit complex Ca release propagation patterns (including merges and separations) that have not been characterized. …”
Get full text

Federated learning-based hybrid convolutional recurrent neural network for multi-class intrusion detection in IoT networks by Prabu Selvam, P. Karthikeyan, S. Manochitra, A. V. L. N. Sujith, T. Ganesan, Rajaram Ayyasamy, Mohammed Shuaib, Shadab Alam, A. Rajendran

Get full text

SmartTrust: a hybrid deep learning framework for real-time threat detection in cloud environments using Zero-Trust Architecture by Umesh Kumar Lilhore, Sarita Simaiya, Roobaea Alroobaea, Abdullah M. Baqasah, Majed Alsafyani, Afnan Alhazmi, Md Monish Khan

“…Abstract The rapid growth of cloud computing has brought scalability and flexibility to modern organizations, but it has also introduced a new wave of complex and evolving security threats. …”
Get full text

Machine learning approach for 2D abrasion mapping in Sediment Bypass Tunnels: a case study of Koshibu SBT, Japan by Ahmed Emara, Sameh A. Kantoush, Mohamed Saber, Tetsuya Sumi, Vahid Nourani, Emad Mabrouk

Get full text

Unveiling Health Security Patterns in the European Union through a Hybrid Entropy-CoCoSo and K-Means Clustering Framework [version 1; peer review: 2 approved] by Amani A. K. Essayed, Yahya Ali Al-Samawi, Abed Saif Ahmed Alghawli, Adel A. Nasser

Get full text

Characterizing Offshore Freshened Groundwater Salinity Patterns Using Trans‐Dimensional Bayesian Inversion of Controlled Source Electromagnetic Data: A Case Study From the Canterbu... by Zahra Faghih, Amir Haroon, Marion Jegen, Romina Gehrmann, Katrin Schwalenberg, Aaron Micallef, Jan Dettmer, Christian Berndt, Joshu Mountjoy, Bradley A. Weymer

Get full text

Study of the association of distribution pattern of genotypes of C/A polymorphism of COL1A1_1 collagen gene (RS1107946) with indicators of external breathing in children with bronc... by Т. Ye. Shumna, S. M. Nedelska, O. S. Fedosieieva

“…The study of the distribution patterns of allelic genes and genotypes of the C/A polymorphism of the collagen COL1A1_1 gene (rs1107946) in children with bronchial asthma, taking into account the indicators of external respiration function. …”
Get full text

Improving Performance of Motor Imagery-Based Brain–Computer Interface in Poorly Performing Subjects Using a Hybrid-Imagery Method Utilizing Combined Motor and Somatosensory... by Sangin Park, Jihyeon Ha, Laehyun Kim

“…The Hybrid-condition II paradigm provided high concentration and discrimination to poor performers in the motor imagery-based brain-computer interface and generated the enhanced event-related desynchronization pattern in three modalities corresponding to different types of somatosensory stimuli in motor and somatosensory regions compared to the Control-condition and Hybrid-condition I. …”
Get full text

Clinical and epidemiological characteristics of registered childhood tuberculosis cases in the North-Western Region of Russia when introducing a tuberculosis diagnosis complex usin... by I. F. Dovgalyuk, N. V. Korneva, A. A. Starshinova, Yu. E. Ovchinnikova, S. M. Ananyev

“…The paper analyzes changes in the pattern of clinical forms of registered tuberculosis cases, in the proportion of detected complications and phases of the specific process in children in 2007 to 2012. …”
Get full text

Damage toughness assessment method of power backbone communication network based on power big data by Xue HAN

“…The damage toughness assessment method of power backbone communication network based on power big data was studied, and the damage toughness assessment results were used to formulate protection strategies and improve the network survivability.The power backbone communication network and the attacker were set as the two sides of the game, and the Nash equilibrium strategy of both sides was determined by the minimax method.The damage probability of nodes was obtained by the Nash equilibrium strategy, and the node damage probability was transformed into the network damage form.According to the network damage pattern, the repair conditions contained in the power big data were obtained by cloud computing technology.According to the importance of each node, the repair resources and repair budget were allocated to the nodes in order.The performance time-history response curve of the power backbone communication network was constructed, and the dynamic evaluation results of the network damage toughness were output.The experimental results show that all operations using cloud computing technology to process massive power big data can not exceed 330 ms.When the repair budget and repair resources are the highest, the damage toughness of the power backbone communication network can reach 0.925 at most, indicating that this method can effectively evaluate the damage toughness of the power backbone communication network.…”
Get full text

Damage toughness assessment method of power backbone communication network based on power big data by Xue HAN

“…The damage toughness assessment method of power backbone communication network based on power big data was studied, and the damage toughness assessment results were used to formulate protection strategies and improve the network survivability.The power backbone communication network and the attacker were set as the two sides of the game, and the Nash equilibrium strategy of both sides was determined by the minimax method.The damage probability of nodes was obtained by the Nash equilibrium strategy, and the node damage probability was transformed into the network damage form.According to the network damage pattern, the repair conditions contained in the power big data were obtained by cloud computing technology.According to the importance of each node, the repair resources and repair budget were allocated to the nodes in order.The performance time-history response curve of the power backbone communication network was constructed, and the dynamic evaluation results of the network damage toughness were output.The experimental results show that all operations using cloud computing technology to process massive power big data can not exceed 330 ms.When the repair budget and repair resources are the highest, the damage toughness of the power backbone communication network can reach 0.925 at most, indicating that this method can effectively evaluate the damage toughness of the power backbone communication network.…”
Get full text

Value of anatomical partitioning of the retroperitoneal space in determining the origin of neurogenic tumors by Yuwei Li, Haowen Zhao, Jingjing Chen, Huacheng Chen, Guangmao Ni, Yanming Ge, Chunjing Liang, Peng Dong

Get full text

Efficient Phase Retrieval via Improved Binary Amplitude Modulation Masks by Chao Yang, Cheng Xu, Hui Pang, Jun Lan, Lixin Zhao, Song Hu, Wei Yan, Xianchang Zhu

Get full text

Parameter Disentanglement for Diverse Representations by Jingxu Wang, Jingda Guo, Ruili Wang, Zhao Zhang, Liyong Fu, Qiaolin Ye

Get full text

INTERNET USE OF POLISH BY POLISH MELBURNIANS: IMPLICATIONS FOR MAINTENANCE AND TEACHING by Michael Fitzgerald, Robert Debski

Get full text

CURRENT LITERATURE REVIEW ON IMAGE PROCESSING ANALYSIS FOR CONCRETE DAMAGE ASSESMENT by Usman Wijaya, Yogi Yulianto, Emon Haryanto

“… Numerous studies have employed computer vision algorithms to analyze images of concrete damage. …”
Get full text

STUDENTS WRITING EMAILS TO FACULTY: AN EXAMINATION OF E-POLITENESS AMONG NATIVE AND NON-NATIVE SPEAKERS OF ENGLISH by Sigrun Biesenbach-Lucas

“…This study combines interlanguage pragmatics and speech act research with computer-mediated communication and examines how native and non-native speakers of English formulate low- and high-imposition requests to faculty. …”
Get full text

Machine Learning-Based Classification of Programming Logic Understanding Levels by Mouse-Tracking Heatmaps by Attaporn Khaesawad, Yosuke Fukuchi, Vibol Yem, Nobuyuki Nishiuchi

Get full text

Social Media Toxic Content Filtering System using SOIR Model by Nidhi Bhandari, Rachna Navalakhe, G.L Prajapati

Get full text

DNA: detecting early signs of neurodegenerative diseases through activity and sleep analysis by Hasina Attaullah, Sanaullah Sanaullah, Annika Peters, Qazi Arbab Ahmed, Justin Baudisch, Thorsten Jungeblut

“…This work presents a novel approach using smart home data to detect early signs of neurodegeneration through continuous monitoring of sleep patterns and daily activity routines. In a smart home environment, sensors passively monitor daily routines, sleep quality, and mobility patterns of the elderly persons. …”
Get full text