Students’ research work as a result of the introduction of educational methods «Learning by service» by L. V. Vandysheva

“…It is required to study the readiness of future social work specialists for research work in the profession; to identify the creative potential of teachers; to monitor the research work of students of different courses of study. The implementation of these recommendations will allow us to determine the means of optimizing the research work of students.…”
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Methods of a Priori Statistical Analysis of Disturbed Motion of Aircraft in Turbulent Environments by Alexander S. Ermilov, Olga A. Saltykova

“…Further research could focus on improving the adaptability of models for different types of aircrafts, taking into account the optimization of computational methods to reduce computational complexity. …”
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Comprehensive Review of Hybrid Feature Selection Methods for Microarray-Based Cancer Detection by Azka Khoirunnisa, Didit Adytia, Mustafa Mat Deris, Adiwijaya

“…More recently, the focus of research has shifted to hybrid approaches that merge several feature selection techniques to mitigate the weaknesses of one method while maximizing the strengths of others. This paper offers an extensive review on feature selection techniques for microarray data and focuses on evaluating the performance of different hybrid methods as an important research gap. …”
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Structural changes in the micromycete complex of soil in wheat agrocenoses depending on tillage methods by A. V. Ponomarev, E. Yu. Gyrnets, V. M. Dubyaga

“…The work has been done to identify the correlation between the applied agrotechnical methods and the formation of soil fungal communities, which is important for optimizing strategies to manage the phytosanitary state of agroecosystems. …”
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Flowsheets for hydroxyacetone–phenol binary mixture separation: The use of special distillation methods by I. S. Gaganov, E. V. Rytova, A. K. Frolkova

“…To study the possibility of hydroxyacetone–phenol binary mixture (a constituent of a mixture of phenol production by the cumene method) separation in flowsheets based on the use of distillation special methods. …”
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Methods of security situation prediction for industrial internet fused attention mechanism and BSRU by Xiangdong HU, Zhengguo TIAN

“…The security situation prediction plays an important role in balanced and reliable work for industrial internet.In the face of massive, high-dimensional and time-series data generated in the industrial production process, traditional prediction models are difficult to accurately and efficiently predict the network security situation.Therefore, the methods of security situation prediction for industrial internet fused attention mechanism and bi-directional simple recurrent unit (BSRU) were proposed to meet the real-time and accuracy requirements of industrial production.Each security element was analyzed and processed, so that it could reflect the current network state and facilitate the calculation of the situation value.One-dimensional convolutional network was used to extract the spatial dimension features between each security element and preserve the temporal correlation between features.The BSRU network was used to extract the time dimension features between the data information and reduced the loss of historical information.Meanwhile, with the powerful parallel capability of SRU network, the training time of model was reduced.Attention mechanism was introduced to optimize the correlation weight of BSRU hidden state to highlight strong correlation factors, reduced the influence of weak correlation factors, and realized the prediction of industrial internet security situation combining attention mechanism and BSRU.The comparative experimental results show that the model reduces the training time and training error by 13.1% and 28.5% than the model using bidirectional long short-term memory network and bidirectional gated recurrent unit.Compared with the convolutional and BSRU network fusion model without attention mechanism, the prediction error is reduced by 28.8% despite the training time increased by 2%.The prediction effect under different prediction time is better than other models.Compared with other prediction network models, this model achieves the optimization of time performance and uses the attention mechanism to improve the prediction accuracy of the model under the premise of increasing a small amount of time cost.The proposed model can well fit the trend of network security situation, meanwhile, it has some advantages in multistep prediction.…”
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Optimal Multivariate Transfer Entropy to Determine Differences in Short and Long-Range EEG Connectivity in Children with ADHD and Healthy Children by Ali Ekhlasi, Ali Motie Nasrabadi, Mohammadreza Mohammadi

“… Purpose: Investigating brain connectivity using Electroencephalogram (EEG) is a valuable method for studying mental disorders, such as Attention-Deficit/Hyperactivity Disorder (ADHD), and optimizing and developing measures of effective connectivity can provide new insights into differences in brain communication in such disorders. …”
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Evaluation of Two Irrigation Scheduling Methods and Nitrogen Rates on Corn Production in Alabama by Jose Franco Da Cunha Leme Filho, Brenda V. Ortiz, Kipling S. Balkcom, Damianos Damianidis, Thorsten J. Knappenberger, Mark Dougherty

“…The different amounts of irrigation applied associated with the two irrigation scheduling methods did not impact grain yield, aboveground biomass, and NUE. …”
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Review of selected methods for estimating risk from occupational exposure to carcinogenic substances by Małgorzata Kupczewska-Dobecka, Anna Nowak, Joanna Jurewicz

“…The decision to select these specific methods was driven by their representativeness of different approaches to risk assessment, allowing for a comprehensive analysis and comparison of their strengths and weaknesses. …”
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Assessing the Influence of Selected Permeabilization Methods on Lymphocyte Single-Cell Multi-Omics by Shifan Ding, Na Lu, Hassan Abolhassani

“…If the measurement of combined surface and intracellular markers is required to be achieved, the modified fixation and permeabilization method is recommended because of a lower transcriptomic loss and more precise proteomic fingerprint detected. (4) Conclusions: The findings of this study support the potential possibility for integrating intracellular proteomics, which needs to be optimized and tested with newly designed oligonucleotide-tagged antibodies targeting intracellular proteins.…”
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Comprehensive Review of Meta-Learning Methods for Cold-Start Issue in Recommendation Systems by Jamallah M. Zawia, Maizatul Akmar Binti Ismail, Mohammad Imran, Buce Trias Hanggara, Diva Kurnianingtyas, Silvi Asna, Quang Tran Minh

“…The results demonstrate the application of model-independent meta-learning (MAML) and other techniques such as optimization-based methods, few-shot learning frameworks, and gradient-based meta-learning methods to solve the cold start problem. …”
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An In-Depth Comparative Study of Quantum-Classical Encoding Methods for Network Intrusion Detection by Adam Kadi, Aymene Selamnia, Zakaria Abou El Houda, Hajar Moudoud, Bouziane Brik, Lyes Khoukhi

“…To the best of our knowledge, this is the first study to comprehensively evaluate the performance impact of different quantum encoding methods and provide a thorough evaluation of their impacts on the overall model performances. …”
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A comprehensive review of data analytics and storage methods in geothermal energy operations by Ali Basem, Ahmed Kateb Jumaah Al-Nussairi, Dana Mohammad Khidhir, Narinderjit Singh Sawaran Singh, Mohammadreza Baghoolizadeh, Mohammad Ali Fazilati, Soheil Salahshour, S. Mohammad Sajadi, Ali Mohammadi Hasanabad

“…Geothermal energy storage (GES) systems are thoroughly examined in this research, with a focus on methods like borehole thermal energy storage (BTES), underground thermal energy storage (UTES), and aquifer thermal energy storage (ATES). …”
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The use of machine learning methods in the development of nasal dosage forms with cerebroprotective action by B. S. Burlaka, I. F. Bielenichev

“…The resulting dataset comprises 1185 lines. The methods employed were a set of methods for binary classification of machine learning (pycaret.org) using the programming language Python 3.8 (python.org) in the package management environment Miniconda (conda.io). …”
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SOLVING CUTTING STOCK PROBLEM USING PATTERN GENERATION METHOD ON 2-DIMENSIONAL STOCK by Ihda Hasbiyati, Indri Latifa, Abdul Rahman, Ahriyati Ahriyati, Moh Danil Hendry Gamal

“…By using the pattern generator method, 10 cutting patterns are generated with each different cutting residue. …”
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Optimal Design and Experimental Verification of Heat Transfer Capacity of Heat Exchanger of in Large Temperature Difference Air Handling Unit by Xu Yanni, Zhuo Mingsheng, Zhang longai, He Weiguang

“…Based on the mechanism of the heat exchange in AHU, this study analyzes how chilled water with large temperature difference affects the heat transfer of AHU. Experiments are conducted to test the influence of large temperature difference of chilled water in the cooling coils with differential enthalpy method. …”
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An effective method for anomaly detection in industrial Internet of Things using XGBoost and LSTM by Zhen Chen, ZhenWan Li, Jia Huang, ShengZheng Liu, HaiXia Long

“…Different thresholds yield different numbers of features. …”
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PERFORMANCE ANALYSIS OF SOLAR WATER HEATER FOR THE OPTIMAL TILT ANGLE AT DIFFERENT FLOW RATES BY USING FLAT PLATE COLLECTOR by Markndeyulu Vuggirala, N. Alagappan, CH V K N S N Moorthy, N.V. Narasimrao Rao

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Efficiency and Reliability of Broiler Weighing Methods in Commercial Environments: A Comparative Evaluation by Isis Mariana Dombrowsky Leal Pasian, Robson Mateus Freitas Silveira, Jessica Nacarato Reple, Hilton Tadeu Zarate Couto, Iran José Oliveira da Silva

“…Regarding the weighing method, there were statistical differences between manual and automatic weighing. …”
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Problems and Improvement Methods of the Layout of Urban Rail Transit Feeder Transportation Facilities by ZHENG Xiang, NONG Xingzhong, WANG Zhi, QIN Yuan, YE Xiafei

“…Based on typical urban cases at home and abroad, factors such as differences in alternative options and weather are comprehensively considered, to construct an optimized model for estimating the passenger flow demand of feeder transportation and the optimized one for calculating the scale of feeder transportation mode facilities. …”
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