Features of Implementing a Competency-Based Approach to Teaching Schoolchildren the Russian Language in the People’s Republic of China by Liu Juan

“…The study used the methods of theoretical analysis, survey, and statistical data processing. Results. The content analysis of the new Standard showed the importance of forming the key competencies to improve the quality of education and the students’ personality development. …”
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Recognition model for major depressive disorder in Arabic user-generated content by Esraa M. Rabie, Atef F. Hashem, Fahad Kamal Alsheref

“…This research offers a novel framework for depression detection from Arabic textual data utilizing deep learning (DL), natural language processing (NLP), machine learning (ML), and BERT transformers techniques in light of the disease’s high prevalence. …”
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Embryos of robertsonian translocation carriers exhibit a mitotic interchromosomal effect that enhances genetic instability during early development. by Samer Alfarawati, Elpida Fragouli, Pere Colls, Dagan Wells

“…Balanced chromosomal rearrangements represent one of the most common forms of genetic abnormality affecting approximately 1 in every 500 (0.2%) individuals. Difficulties processing the abnormal chromosomes during meiosis lead to an elevated risk of chromosomally abnormal gametes, resulting in high rates of miscarriage and/or children with congenital abnormalities. …”
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Optimized Dynamic Deployment of UAVs in Maritime Networks with Route Prediction by Yanli Xu, Yalan Shi

“…In this algorithm, the RUDD algorithm employs a modified Long Short-Term Memory (LSTM) network to predict the maritime user’s trajectory, utilizing its strengths in processing time-series data to provide accurate predictions. …”
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Optimized YOLO Model for Accurate and Real-Time Detection of Machinery Around Shovels in Copper Mining by Mohaddeseh Ghiasi, MasoudReza Aghabozorgi

“…The results, with an average accuracy of 94.2% and a rate of 159 fps, demonstrate a significant improvement in detection accuracy and an increase in the speed of the recognition process, meeting the requirements for accurate and real-time detection of vehicles around the shovel. …”
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On the Optimum Detection of MIMO-SVD Signals With Strong Nonlinear Distortion Effects at the Transmitter by Joao Goncalves, M. Teresa Nogueira, Daniel Dinis, Joao Guerreiro, Rui Dinis

“…It also provides an approximate bound on the achievable ML Bit Error Rate (BER) performance. Our results indicate that the proposed receiver can have a performance close to the ML receiver with just a few iterations.…”
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Readout Architectures for High Efficiency in Time-Correlated Single Photon Counting Experiments—Analysis and Review by Alessandro Cominelli, Giulia Acconcia, Pietro Peronio, Ivan Rech, Massimo Ghioni

“…Unfortunately, the huge number of data generated by this kind of system can easily bring to the saturation of the transfer bandwidth to the external processing unit. …”
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The effect of deep-frying and pan-frying methods on the organoleptic properties, protein, and calcium content of presto milkfish floss (<i>Chanos chanos</i>) by Evi Kusumawati, Putu Candriasih, Astati Astati

“…A pre-experimental study design was employed using a randomized block design, with data analyzed through unpaired t-tests and the Mann-Whitney test at a 95% confidence interval. …”
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Chemical Components, Antioxidant Activity, and Glycemic Response Values of Purple Sweet Potato Products by Siti Nurdjanah, Samsu Udayana Nurdin, Sussi Astuti, Venni Elsa Manik

“…The glycemic response data were processed using ANOVA and further tested using LSD at p<0.05. …”
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Dual Function Radar and Communication Waveform Design Based on Sub-pulse Hybrid Modulation by Yu LIU, Junhao ZHANG, Xue YAO, Xianxiang YU, Guolong CUI

“…To address the low data rate issue in the design of Dual-Function Radar-Communication (DFRC) waveforms with radar detection as the primary function, this paper proposes an information modulation method for multiple sub-pulse structure waveforms called Sub-pulse Hybrid Modulation (SHM). …”
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Encrypted traffic identification method based on deep residual capsule network with attention mechanism by Guozhen SHI, Kunyang LI, Yao LIU, Yongjian YANG

“…With the improvement of users’ security awareness and the development of encryption technology, encrypted traffic has become an important part of network traffic, and identifying encrypted traffic has become an important part of network traffic supervision.The encrypted traffic identification method based on the traditional deep learning model has problems such as poor effect and long model training time.To address these problems, the encrypted traffic identification method based on a deep residual capsule network (DRCN) was proposed.However, the original capsule network was stacked in the form of full connection, which lead to a small model coupling coefficient and it was impossible to build a deep network model.The DRCN model adopted the dynamic routing algorithm based on the three-dimensional convolutional algorithm (3DCNN) instead of the fully-connected dynamic routing algorithm, to reduce the parameters passed between each capsule layer, decrease the complexity of operations, and then build the deep capsule network to improve the accuracy and efficiency of recognition.The channel attention mechanism was introduced to assign different weights to different features, and then the influence of useless features on the recognition results was reduced.The introduction of the residual network into the capsule network layer and the construction of the residual capsule network module alleviated the gradient disappearance problem of the deep capsule network.In terms of data pre-processing, the first 784byte of the intercepted packets was converted into images as input of the DRCN model, to avoid manual feature extraction and reduce the labor cost of encrypted traffic recognition.The experimental results on the ISCXVPN2016 dataset show that the accuracy of the DRCN model is improved by 5.54% and the training time of the model is reduced by 232s compared with the BLSTM model with the best performance.In addition, the accuracy of the DRCN model reaches 94.3% on the small dataset.The above experimental results prove that the proposed recognition scheme has high recognition rate, good performance and applicability.…”
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Numerical Recognition Algorithm for Power Equipment Monitoring Based on Light-Resnet Convolutional Neural Network by Zhiheng KONG, Chong TAN, Peiyao TANG, Chengbo HU, Min ZHENG

“…Faced with the inefficiencies of manual recording and inspection, as well as the challenges associated with the complex installation, high cost and lengthy periods required for digital upgrades of monitoring devices, a novel approach that integrates image capture devices with image processing technology has been developed. This approach, leveraging the allocation of computational resources for task distribution, introduces a Light-Resnet-based numerical recognition algorithm, which enhances network training through the optimization of the D-Add loss function, enabling remote reading of electrical equipment monitoring data. …”
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Development and Validation of Ultrahigh-Performance Liquid Chromatography Coupled with Triple Quadrupole Mass Spectrometry Method for Quantitative Determination of Ten Active Compo... by Wenbo Wang, Shuangquan Zhu, Hao Chen, Ning Wu, Han Chen, Dongsheng Wang

“…Agilent Mass Hunter Work Station Software was employed for data acquisition and processing. All calibration curves showed excellent linear regressions (R2 > 0.9992). …”
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SLAM: Sales Lead AMplification Through GenAI and ML for e-Learning Platforms by Ganesan Ramachandran, Tanmay Narang, Vallidevi Krishnamurthy

“…Through rigorous experimentation and analysis, singular models were first explored, followed by the integration into a stacking ensemble model, achieving an accuracy rate of 94%. Extensive pre-processing techniques have been applied to ensure data quality and feature relevance, facilitating robust model training. …”
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Perceived Quality in the Automotive Industry: Do Car Exterior and Interior Color Combinations Have an Impact? by Giuseppina Tovillo, Mariachiara Rapuano, Alessandro Milite, Gennaro Ruggiero

“…As for eye-tracking data, the results showed that white and red car exteriors affected the attention to interiors with the fixation duration being longer for gray than black interiors. …”
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A fuzzy based chicken swarm optimization algorithm for efficient fault node detection in Wireless Sensor Networks by B Nagarajan, Santhosh Kumar SVN, M Selvi, K Thangaramya

“…In WSN, node failure can cause a number of issues, namely Wireless Sensor Networks topology changes, broken communications links, disconnected portions of the network, and data transmission errors. An important concern of WSN is the detecting, diagnosing and recovering of sensor node failures. …”
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Cluster channel equalization using adaptive sensing and reinforcement learning for UAV communication by Xin Liu, Shanghong Zhao, Yanxia Liang, Shahid Karim

“…This algorithm leverages the U-Net model to sense channel states in real time and intelligently adjusts data forwarding strategies based on fuzzy values generated by the fuzzy reinforcement Q-learning. …”
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A Dockerized Approach to Dynamic Endpoint Management for RESTful Application Programming Interfaces in Internet of Things Ecosystems by Ebenhezer Mabotha, Nkateko E. Mabunda, Ahmed Ali

“…With the use of FastAPI for asynchronous processing, the framework dynamically scales API schemas as per real-time conditions, achieving maximum device interaction efficiency. …”
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Clinical advantages of cad-cam-fabricated full-arch fixed implant-supported monolithic zirconia dental prosthesis with digital modelling of the occlusion surfaces by R. A. Rozov, V. N. Trezubov, A. Pozzi

“…Electronic registration of movements of the mandible was carried out on an electronic axiograph "CADIAX 3 diagnostic", using the software "Gamma Dental Software". Statistical processing of the data was carried out using a PC in an Excel 2016 using the IBM SPSS Statistics 23 statistical software package. …”
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The relationship between adaptation disorders and psychophysiological and psychological characteristics of electric power workers in the South of Russia by E.V. Vorobyeva

“…Leonhard. Statistical processing of the obtained data included descriptive statistics, correlation and variance analysis. …”
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