A novel Swin transformer based framework for speech recognition for dysarthria by Rabbia Mahum, Ismaila Ganiyu, Lotfi Hidri, Ahmed M. El-Sherbeeny, Haseeb Hassan

“…Several previous studies have concentrated on detecting dysarthria speech using machine learning-based methods. …”
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Inversion of Magnetic Anomaly Based on Cross Attention Transformer by Juntao Lei, Jieru Chi, Shandong Li

“…Leveraging this mechanism, the Transformer Block can extract features from both magnetic anomaly and magnetic gradient anomaly data, thereby significantly enhancing the accuracy of boundary detection. 2) We propose a learnable Multi-Scale Feature Fusion Module. …”
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Peculiarities of Ordering and Conducting Forensic Accounting Expertise by A. N. Kizilov, O. V. Ovcharenko

“…Offence-related expert tasks can conditionally be divided into two blocks: • The first block — checking if recording transaction in accounts complies with legal requirements; • The second block — calculating indicators characterizing the factual circumstances of financial and economic activity which are of interest for investigators. …”
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Encrypted traffic classification method based on convolutional neural network by Rongna XIE, Zhuhong MA, Zongyu LI, Ye TIAN

“…Aiming at the problems of low accuracy, weak generality, and easy privacy violation of traditional encrypted network traffic classification methods, an encrypted traffic classification method based on convolutional neural network was proposed, which avoided relying on original traffic data and prevented overfitting of specific byte structure of the application.According to the data packet size and arrival time information of network traffic, a method to convert the original traffic into a two-dimensional picture was designed.Each cell in the histogram represented the number of packets with corresponding size that arrive at the corresponding time interval, avoiding reliance on packet payloads and privacy violations.The LeNet-5 convolutional neural network model was optimized to improve the classification accuracy.The inception module was embedded for multi-dimensional feature extraction and feature fusion.And the 1*1 convolution was used to control the feature dimension of the output.Besides, the average pooling layer and the convolutional layer were used to replace the fully connected layer to increase the calculation speed and avoid overfitting.The sliding window method was used in the object detection task, and each network unidirectional flow was divided into equal-sized blocks, ensuring that the blocks in the training set and the blocks in the test set in a single session do not overlap and expanding the dataset samples.The classification experiment results on the ISCX dataset show that for the application traffic classification task, the average accuracy rate reaches more than 95%.The comparative experimental results show that the traditional classification method has a significant decrease in accuracy or even fails when the types of training set and test set are different.However, the accuracy rate of the proposed method still reaches 89.2%, which proves that the method is universally suitable for encrypted traffic and non-encrypted traffic.All experiments are based on imbalanced datasets, and the experimental results may be further improved if balanced processing is performed.…”
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A Fully Autonomous On-Board GNC Methodology for Small-Body Environments Based on CNN Image Processing and MPCs by Pelayo Peñarroya, Alfredo Escalante, Thomas Frekhaug, Manuel Sanjurjo

“…The long communication latencies and sensitivity of the system to unplanned environmental perturbations mean autonomous methods could be a key design block for this type of mission. In this work, a fully autonomous Guidance, Navigation, and Control (GNC) methodology is introduced. …”
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Breaking the cellular defense: the role of autophagy evasion in Francisella virulence by Pavla Pavlik, Pavla Pavlik, Eva Velecka, Petra Spidlova

“…For instance, some bacteria secrete factors that block autophagosome formation, while others might escape from autophagosomes before degradation. …”
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TOPOLOGICAL IMAGE PROCESSING FOR COMPREHENSIVE DEFECT AND DEVIATION ANALYSIS USING ADAPTIVE BINARISATION by Igor Badanyuk, Igor Nevliudov, Dmytro Nikitin

“… The subject of this article is the preparation for recognition and comparison of real topological images of printed circuit boards (PCBs) using adaptive image binarisation with an "automatic window" (the area for scanning the image "Block size"). The aim of the work is to improve the method of adaptive binarisation for images obtained by technical vision systems by developing an automatic algorithm for detecting the required value of the image binarisation window. …”
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An SDN-Based Approach to Ward Off LAN Attacks by René Rietz, Radoslaw Cwalinski, Hartmut König, Andreas Brinner

“…The detection of attacks on large administrative network domains is nowadays generally accomplished centrally by analyzing the data traffic on the uplink to the Internet. …”
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Bacterial evolution during human infection: Adapt and live or adapt and die. by Matthew J Culyba, Daria Van Tyne

“…Adapt-and-die mutations can provide rich information about selection pressures in vivo, yet they can easily elude detection because they are short lived, may be more difficult to sample, or could be maladaptive in the long term. …”
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Mechanism of modified mRNA structure in COVID-19 vaccines for inducing neutralizing antibodies by Sabighoh Zanjabila, Beti Ernawati Dewi

“…Structural modifications, such as replacing uridine with 1-methylpseudouridine (1mψ), enhance translation efficiency and help the mRNA evade immune detection. Lipid nanoparticles (LNPs) serve as an effective delivery system. …”
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Investigation of Ambient Aromatic Volatile Organic Compounds in Mosimi Petroleum Products Depot, Sagamu, Nigeria by Ismail Muhibbu-din

“…The extracted solutions were subjected to Flame Ionization Detection analysis in a Gas Chromatograph using a capillary column HP 5MS with length, inner diameter and particle size set at (30 m à 0.25 mm à 0.25 μm). …”
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Oral lesions as the presenting manifestation of syphilis: A case series of an alarming trend in Kuwait by Anwar A. AlMuzaini, Dalal H. AlOmar, Jassem M. Bastaki

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Flexible, frugal, and fast carbon dioxide sensing by bismuth ferrite-silver nanowires by Sanjeev Patil, A. Sudha, Parasuraman Swaminathan

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Precoding Method Interference Management for Quasi-EVD Channel by Wei Duan, Wei Song, Sang Seob Song, Moon Ho Lee

“…The Cholesky decomposition-block diagonalization (CD-BD) interference alignment (IA) for a multiuser multiple input multiple output (MU-MIMO) relay system is proposed, which designs precoders for the multiple access channel (MAC) by employing the singular value decomposition (SVD) as well as the mean square error (MSE) detector for the broadcast Hermitian channel (BHC) taken advantage of in our design. …”
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Inverse design of perimeter-controlled InAs-assisted metasurface for two-dimensional dynamic beam steering by Sabri Raana, Mosallaei Hossein

“…The current commercially viable light detection and ranging systems demand continuous, full-scene, and dynamic two-dimensional point scanning, while featuring large aperture size to ensure long distance operation. …”
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Enhanced Transformer Network With High-Dimensional Attention Mechanism for Diabetic Retinopathy Classification by M. Rizvana, Sathiya Narayanan

“…Various deep learning-based detection and classification algorithms have been developed to identify and categorize the disease. …”
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In regards to lipoxins as lipid mediators for the resolution of inflammation using the example of asthma by O. Yu. Kytikova, T. P. Novgorodtseva, I. S. Kovalenko

“…These mediators are formed in very small quantities and are quite unstable in comparison with other lipid mediators of inflammation resolution, so the difficulty of their detection limits the study of the role of lipoxins as mediators of inflammation resolution, including in asthma. …”
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The mechanistic study of codonopsis pilosula on laryngeal squamous cell carcinoma based on network pharmacology and experimental validation by Huina Guo, Huina Guo, Yichen Lou, Yichen Lou, Yichen Lou, Xiaofang Hou, Xiaofang Hou, Xiaofang Hou, Xiaoya Guan, Xiaoya Guan, Yujia Guo, Yujia Guo, Qi Han, Qi Han, Xuting Xue, Xuting Xue, Ying Wang, Ying Wang, Long He, Long He, Zhongxun Li, Zhongxun Li, Chunming Zhang, Chunming Zhang, Chunming Zhang

“…It also suppresses LSCC cell growth by blocking the cell cycle and inducing apoptosis.ConclusionCodonopsis pilosula exerts antitumor effects in LSCC through the regulation of MAPK3 and multiple signaling pathways, providing a theoretical basis for its clinical application.…”
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Configuring Transmission Thresholds in IIoT Alarm Scenarios for Energy-Efficient Event Reporting by David E. Ruiz-Guirola, Onel L. A. Lopez, Samuel Montejo-Sanchez

“…Industrial Internet of Things (IIoT) applications involve real-time monitoring, detection, and data analysis. However, the intermittent activity of IIoT devices and limited battery capacity pose critical challenges. …”
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High Sensitivity Refractive Index Sensor Based on Trapezoidal Subwavelength Grating Slot Microring Resonator by Hanyue Li, Longsheng Wu, Yi Jin, Aimin Wu

“…By optimizing the geometry of inner silicon blocks, the quality factor is improved by 3 times than traditional subwavelength slot micro-ring resonator. …”
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