Non-parametric correlation structures and their respective embeddings in predictive analysis by Adam Dudáš

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Development of an Indian Dietary Risk Score Tool (IDRST) for Early Diagnosis of Gestational Diabetes Mellitus: A Cross Sectional Study by Asma Shaheen, V. Premala Priyadarshini, Latha Sashi

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Plant Stress Detection Using a Three-Dimensional Analysis from a Single RGB Image by Madaín Pérez-Patricio, J. A. de Jesús Osuna-Coutiño, German Ríos-Toledo, Abiel Aguilar-González, J. L. Camas-Anzueto, N. A. Morales-Navarro, J. Renán Velázquez-González, Luis Ángel Cundapí-López

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An efficient method for predicting the morphology of proppant packs based on a surrogate model by Tao ZHANG, Hangyu ZHOU, Yifan ZHANG, Jianchun GUO, Haoran GOU, Tang TANG

“…Currently, experimental and numerical methods are the main approaches for reproducing the proppant accumulation process and placement patterns in fractures. These methods are still confined by limited simulation scales, time-consuming computations, and high-cost operations. …”
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ADDAEIL: Anomaly Detection with Drift-Aware Ensemble-Based Incremental Learning by Danlei Li, Nirmal-Kumar C. Nair, Kevin I-Kai Wang

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Cloud Telescope: An Ephemeral, Distributed, and Cloud-Native Architecture for Collecting Internet Background Radiation by Fabricio Bortoluzzi, Barry Irwin, Carla Merkle Westphall

“…In addition, what malicious traffic patterns would emerge if we could sample the unsolicited traffic - termed Internet Background Radiation (IBR) - arriving at devices directly connected to the Internet? …”
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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. …”
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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

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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. …”
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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

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Leadership as a female political characteristic in Serbia by Vuković Ana

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PENCAPAIAN STANDAR KOMPETENSI DALAM KURIKULUM 2006 PADA MATA PELAJARAN EKONOMI MELULUI PENDEKATAN KONTEKSTUAL (CONTEXTUAL TEACHING AND LEARNING) DI SMA NEGERI 11 SEMARANG by Moh. Hasyim

“…The result showed that contextual teaching and learning in Economics subject in SMA N 11 Semarang was very effectiveness in achieving the standard of competency based on curriculum 2006. The suggestions are: (1) it is needed a more comtrhensive study by using action research through cycling pattern so the percentage of Contextual Teaching and Learning (CTL) is found. (2) it is needed a preparation for teachers so they are ready to improve and innovate the way of teaching, (3) the implementation of CTL in groups can be tried in a bigger scope to support the implementation of KTSP (4) if three are students’ tasks of activities which do outside or at home, so teacher’s monitoring is needed, (5) it is needed to add individual tasks to decrease students’ dependence on their groups.…”
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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

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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

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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. …”
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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. …”
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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. …”
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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.…”
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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.…”
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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

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