European Society of Cardiology Guidelines on the Management of Stable Coronary Artery Disease (2013) by Fayura O. P.

“…Recommendations for application, interaction and side effects of the main drugs are considered, evaluation of possible complications in patients with ischemic (coronary) heart disease in accordance with the Recommendations of the European Association of Cardiologists regarding the management of patients with stable coronary heart disease (2013) has been made. …”
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Enhancing predictive analytics in mandibular third molar extraction using artificial intelligence: A CBCT-Based study by Faezeh Khorshidi, Rasool Esmaeilyfard, Maryam Paknahad

“…The study involved two main steps: pre-processing and processing of the textual data. …”
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Investigating the Nonlinear Relationship Between the Built Environment and Urban Vitality Based on Multi-Source Data and Interpretable Machine Learning by Wenhao Liu, Zhen Yang, Chen Gui, Gen Li, Hongyi Xu

“…In this study, we investigate the potential non-linear interactions between the built environment and urban vitality by employing an interpretable spatial machine learning framework that integrates the XGBoost model with the SHapley Additive exPlanations (SHAP) algorithm. Additionally, we analyze the determinants of urban vitality across both micro and macro-scales using multi-source data, semantic segmentation models, and street view imagery. …”
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Aspect-Based Sentiment Analysis on User Perceptions of OVO using Latent Dirichlet Allocation and Support Vector Machine by Eka Fahira Aprilia, Amalia Anjani Arifiyanti, Nambi Sembilu

“…Topic modeling using Latent Dirichlet Allocation (LDA) identified four main aspects frequently discussed by users: Transaction Efficiency, User Experience, Account Access and Registration, and Balance and Charges. …”
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A trade-off between line hardening and dynamic line rating by a new convex optimization model for resilient micro-grid-oriented expansion planning of reconfigurable smart distribut... by Saeed Behzadi, Amir Bagheri

“…According to the optimal Pareto algorithm solution, the resiliency index is guaranteed to be more than 92% in the face of LPHI disasters. …”
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Adaptive sliding mode control based on maximum power point tracking for boost converter of photovoltaic system under reference voltage optimizer by Borhen Torchani, Ahmad Taher Azar, Ahmad Taher Azar, Ahmad Taher Azar, Anis Sellami, Saim Ahmed, Saim Ahmed, Ibrahim A. Hameed, Ibraheem Kasim Ibraheem, Moamin Ibrahim Jameel Al-Obaidi

“…Simulations conducted demonstrate superior performance in terms of stability, speed, and control of the converter compared to traditional MPPT algorithms. The main contributions of this article include an improvement in system robustness against irradiance variations, thanks to the integration of an adaptive algorithm and a PI controller within the SMC. …”
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Time Domain Stress and Fatigue Life Evaluation for the Connector of a Floating Multi-Body in Waves by Total Beam and Local Shell Analyses by Byoung Wan Kim, Sa Young Hong, Kangsu Lee

“…They may, however, need to be defined in the main text if used more than once there.). The fatigue lives were calculated using the rain-flow algorithm. …”
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Fabric Selection Problem Based on Sine Hyperbolic Fractional Orthotriple Linear Diophantine Fuzzy Dombi Aggregation Operators by Muhammad Qiyas, Muhammad Naeem, Neelam Khan, Faisal Khan

“…The first phase is to introduce new operational laws for FOLDFS using Dombi operational laws. The main idea behind the proposed operations is to incorporate the qualities of the sine hyperbolic function, namely periodicity and symmetric about the origin towards the decisions of the objects. …”
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Access control relationship prediction method based on GNN dual source learning by Dibin SHAN, Xuehui DU, Wenjuan WANG, Aodi LIU, Na WANG

“…With the rapid development and wide application of big data technology, users’ unauthorized access to resources becomes one of the main problems that restrict the secure sharing and controlled access to big data resources.The ReBAC (Relationship-Based Access Control) model uses the relationship between entities to formulate access control rules, which enhances the logical expression of policies and realizes dynamic access control.However, It still faces the problems of missing entity relationship data and complex relationship paths of rules.To overcome these problems, a link prediction model LPMDLG based on GNN dual-source learning was proposed to transform the big data entity-relationship prediction problem into a link prediction problem with directed multiple graphs.A topology learning method based on directed enclosing subgraphs was designed in this modeled.And a directed dual-radius node labeling algorithm was proposed to learn the topological structure features of nodes and subgraphs from entity relationship graphs through three segments, including directed enclosing subgraph extraction, subgraph node labeling calculation and topological structure feature learning.A node embedding feature learning method based on directed neighbor subgraph was proposed, which incorporated elements such as attention coefficients and relationship types, and learned its node embedding features through the sessions of directed neighbor subgraph extraction and node embedding feature learning.A two-source fusion scoring network was designed to jointly calculate the edge scores by topology and node embedding to obtain the link prediction results of entity-relationship graphs.The experiment results of link prediction show that the proposed model obtains better prediction results under the evaluation metrics of AUC-PR, MRR and Hits@N compared with the baseline models such as R-GCN, SEAL, GraIL and TACT.The ablation experiment results illustrate that the model’s dual-source learning scheme outperforms the link prediction effect of a single scheme.The rule matching experiment results verify that the model achieves automatic authorization of some entities and compression of the relational path of rules.The model effectively improves the effect of link prediction and it can meet the demand of big data access control relationship prediction.…”
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Modified SLAM for Agricultural Robot Navigation by N. V. Gapon, V. V. Voronin, D. V. Rudoy, M. M. Zhdanova

“…To evaluate the impact on SLAM performance, the Stereo Multi-State Constraint Kalman Filter (S-MSCKF) algorithm was employed. Quantitative analysis of Absolute Trajectory Error (ATE) and mean RMSE was conducted both before and after applying the depth map reconstruction. …”
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STRATEGIC GOALS AND QUALITATIVE PROGRESS INDICATORS OF THE PROCESS OF NEO-INDUSTRIALISATION OF THE MANUFACTURING INDUSTRY IN UKRAINE by Olha Ilyash, Nataliia Semenchenko, Andrii Sachenko

“…The article shows that the implementation of the strategic and operational goals of the state policy requires the implementation of a set of measures, the main of which is the determination of the priority areas of the state policy in terms of innovative development and the creation of a "core" of new industries, which are prioritized in the development of high-tech entrepreneurship and increased export potential of the processing industry of Ukraine. …”
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Creation of WebQuests for Cultural Education and Refugee Integration in Germany: On the Example of Cologne by Oleksii Nalyvaiko, Olena Ronzhes

“…The methodology presented in the study included a description of the process, principles and means necessary for the organizer and other interested parties in case of reproduction of this web quest for a similar audience and in similar conditions. Results. The main results presented in the study include a clear algorithm for conducting the WebQuest “Family creative and educational quest in Cologne”, aimed at cultural adaptation and education in the field of history and iconic places of Cologne; «excursion program»; communication between different generations of families; a simple divergent task, proposed at each station of the WebQuest to creatively reinterpret the received excursion information; increasing the level of digital literacy. …”
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The use of ethanol as contrast enhancer in synchrotron X-ray phase-contrast imaging leads to heterogeneous myocardial tissue shrinkage: a case report by Gabriel Bernardino, Àngels Calvet-Mirabent, Hector Dejea, Eduard Guasch, Anne Bonnin, Patricia Garcia-Canadilla

“…One of the main limitations of conventional absorption-based X-ray micro-computed tomography imaging of biological samples is the low inherent X-ray contrast of soft tissue. …”
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Virological failure and antiretroviral resistance among HIV-infected children after five years follow-up in the ANRS 12225-PEDIACAM cohort in Cameroon. by Paul Alain Tagnouokam-Ngoupo, Ida Calixte Penda, Jules Brice Tchatchueng Mbougua, Suzie Tetang Ndiang, Francis Yuya Septoh, Angeladine Kenne, Jeannine Eboumbou Ngallè, Sorel Jakpou, Francis Ateba Ndongo, Josiane Warszawski, Albert Faye, Mathurin Cyrille Tejiokem, ANRS-Pediacam Study Group

“…Plasma viral load (VL) was measured at each visit (every three months until month 24 and every 6 months thereafter). VF was the main outcome and HIV drug resistance test was performed using the ANRS procedures and algorithm.…”
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Artificial intelligence in the diagnosis of cerebrovascular diseases using magnetic resonance imaging: A scoping review by Yituo Wang, Zeru Zhang, Ying Peng, Silu Chen, Shuai Zhou, Jiqiang Liu, Song Gao, Guangming Zhu, Cong Han, Bing Wu

“…The evaluation metrics varied according to the five main algorithm tasks of classification, detection, segmentation, estimation, and generation. …”
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Weather Prediction for Strawberry Cultivation Using Double Exponential Smoothing and Golden Section Optimization Methods by Herlinah Herlinah, Billy Eden William Asrul, Hafsah HS, Muhammad Faisal, Swa Lee Lee, Hamdan Gani, Zhipeng Feng

“…The high intensity of weather changes is the main challenge in the strawberry production, which is influenced by climate dynamics and the start season time changes. …”
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Automatic Detection of Interplanetary Coronal Mass Ejections in Solar Wind In Situ Data by H. T. Rüdisser, A. Windisch, U. V. Amerstorfer, C. Möstl, T. Amerstorfer, R. L. Bailey, M. A. Reiss

“…Out of the 640 ICMEs, 466 were detected correctly by our algorithm, producing a total of 254 false positives. …”
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Method and application of stability prediction model for rock slope by Yun Qi, Chenhao Bai, Xuping Li, Hongfei Duan, Wei Wang, Qingjie Qi

“…Based on the SHAP model analysis, the main factors influencing the stability of the slopes are g, c, φ, H, and j.…”
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A study on the non-contact measurement of sunflower disk inclination and its application to accurate phenotypic analysis by Qiang Wang, Kaixuan Li, Zihao Gao, Xinyuan Wei, Yaoyu Li, Yangcheng Lv, Wuping Zhang

“…In the measurement experiment, 220 images were used for testing, with manual protractor measurement results as the reference. The algorithm achieved a measurement accuracy of RMSE = 2.93°, MAE = 2.43°, and R2 = 0.94. …”
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Editorial by Christian Gütl

“…These contributions, together with the generous support of the KOALA initiative, maintain the quality of our journal.In the sixth regular issue, I am very pleased to present the following 4 accepted articles: Michele Berti, Matheus Camilo da Silva, Sebastiano Saccani, and Sylvio Barbon from Italy focus their research on synthetic data generation as an alternative to traditional data anonymization based on variational autoencoders to generate high-quality synthetic tabular datasets.Roger Vieira and Kleinner Farias from Brazil introduce in their research CognIDE, a tool-supported methodology that aims to seamlessly integrate psychophysiological data linked to cognitive indicators into VS Code by offering actionable contextual cues alongside dynamic source code.Pedro Henrique Dias Valle and Elisa Yumi Nakagawa from Brazil discuss in their research a catalog of the main interoperability architectural solutions for addressing the four levels of interoperability - namely technical, syntactic, semantic, and organizational – for solving interoperability issues in software systems by analyzing 65 studies from the scientific literature.Ji Woong Yoo, Kyoung Jun Lee and Arum Park from the Republic of Korea explore the potential of deep learning techniques - Long Short-Term Memory (LSTM) algorithm and Word2Vec model – for cleansing malicious comments from users, and enhancing the ethical nature of AI systems.Enjoy Reading!…”
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