Performance Enhancement of Steady-State Visual Evoked Field-Based Brain–Computer Interfaces Incorporating MEG Source Imaging by Ye-Sung Kim, Hyojeong Han, Cheong-Un Kim, Soo-In Choi, Min-Young Kim, Chang-Hwan Im

“…Additionally, the ASLW-FBMSI algorithm exhibited a short processing delay of 0.107 s at a 4-s data length and was successfully validated in online BCI experiments with 20 participants. …”
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Abnormal heart sound recognition using SVM and LSTM models in real-time mode by Moy’awiah A. Al-Shannaq, Areen Nasrawi, Abed Al-Raouf K. Bsoul, Ahmad A. Saifan

“…This can decrease the mortality rate for cardiovascular diseases and enhance the patient’s quality of life. …”
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Research progress and prospect of medium manganese steel by XU Juan-ping, FU Hao, WANG Zheng, YAN Yu, LI Jin-xu

“…This paper summarized the current research status of medium manganese steel in China and abroad and analyzed the mechanical properties data of medium manganese steel with different chemical compositions, deformation process, and heat treatment process in the literature. …”
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Software Package for Optimization of Burner Devices on Dispersed Working Fluids by Ruslan V. Fedorov, Igor I. Shepelev, Mariia A. Malyoshina, Dmitry A. Generalov, Vyacheslav V. Sherkunov, Valeriy V. Sapunov

“…Optimal settings of these parameters can significantly impact the reduction in harmful emissions into the atmosphere, though finding such parameters is a labor-intensive process and requires the use of modern automation and data processing tools. …”
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Resident primary care practitioners’ awareness and handling of zoonotic diseases: an explorative online survey in the Hameln-Pyrmont district, Lower Saxony, Germany by Michael W. Scheider, Lothar Kreienbrock, Thomas von Lengerke

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Design and Implementation of Non-Invasive Hemodynamic Monitoring System Based on Impedance Cardiogram Method by Fuhao KANG, Qi YIN, Yanan LIU, Lin HUANG, Yan HANG, Jilun YE, Xu ZHANG

“…The system was used to collect impedance cardiogram and ECG signal data from 40 volunteers. The calculated HR, SV, and CO, three important hemodynamic indicators, were compared with the ICONCore non-invasive cardiac output monitor of OSYPKA Medical in Germany. …”
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Radio Sensitivity of the winter and spring barley varieties according to the morphological efect of low-dose gamma irradiation on the original seeds. by Е. А. Kazakova, Е. S. Makarenko, М. S. Podlutsky, A. A Dontsova, S. V. Bitarishvili, M. A. Lychenkova, I. V. Gorbatova, Е. G. Filippov, D. P. Dontsov, Т. V. Chizh, А. S. Snegirev, P. Yu. Volkova

“…The original seeds of each barley variety were irradiated at the FSBSI “All-Russian Research Institute of Radiology and Agroecology” by the gamma device “GUR-120” with 60Со radiation sources at a dose of 20 Gy (dose rate of 60 Gy/hour). The statistical data processing was performed by the Microsoft Office Excel 2019. …”
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Characteristics of Parallel and Countercurrent Flooding Instability of Annular Flow in Rod Bundle Channel by JIN Guangyuan1, 2, WANG Rui1, 2, BAI Jinghu1, 2, LI Weilian1, 2

“…According to the high-speed photographic image data processing, the parallel flow time, the countercurrent flow time and the overall cycle time were acquired and analyzed. …”

AIpollen: An Analytic Website for Pollen Identification Through Convolutional Neural Networks by Xingchen Yu, Jiawen Zhao, Zhenxiu Xu, Junrong Wei, Qi Wang, Feng Shen, Xiaozeng Yang, Zhonglong Guo

“…Additionally, we implemented ELU activation function, data augmentation, learning rate decay, and early stopping strategies to enhance the training efficiency and generalization capability of the model. …”
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State of health prediction of lithium-ion batteries in charging chambers based on multi-modal deep learning by ZHAO Yinghua, CHEN Anbi, ZHANG Zengyu, LI Wenzhong, HAN Yu

“…A multi-modal deep learning network model, TCN-BiLSTM-Transformer, was constructed, leveraging a multi-level feature extraction mechanism for efficient processing of temporal signals. The Temporal Convolutional Network (TCN), utilizing dilated convolutional kernels with an exponential expansion rate, captured multi-scale local features while preserving temporal integrity. …”
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An Integrated Lightweight Neural Network Design and FPGA-Accelerated Edge Computing for Chili Pepper Variety and Origin Identification via an E-Nose by Ziyu Guo, Yong Yin, Haolin Gu, Guihua Peng, Xueya Wang, Ju Chen, Jia Yan

“…The optimized circuit reduces the latency to 5600 ns and consumes only 1.755 W of power, significantly improving the resource utilization rate and processing speed of the model. This system not only achieves rapid and accurate chili pepper variety and origin detection but also provides an efficient and reliable intelligent agricultural management solution, which is highly important for promoting the development of agricultural automation and intelligence.…”
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INVESTIGATION OP THE SKIN FACTOR IN STEADY-STATE GAS FLOW OBEYING NONLINEAR FILTRATION LAW by V. V. Verzhbitsky, A. I. Shchekin, R. E. Shesterikova

“…To identify the factors affecting the flow rate of wells, the information obtained as a result of the interpretation of the data of systematically conducted gas well tests is used. …”
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Determining time since deposition of latent fingerprints on forensic adhesive tape using ultrafast DESI-MS and machine learning by Nora Rajs, Yinon Harush-Brosh, Ron Raisch, Ravit Yakobi Arancibia, Amani Zoabi, Guy Nevet Golan, Moshe Shpitzen, Sarena Wiesner, Michal Levin-Elad, Tommy Kaplan, Katherine Margulis

“…Key imaging parameters, such as DESI-MS scan rate, mass range, scan area, spatial resolution, and imaging mode, were optimized to enhance age determination precision and support rapid processing within forensic workflows. …”
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Feasibility of decentralised deployment of Xpert MTB/RIF test at lower level of health system in India. by Neeraj Raizada, K S Sachdeva, Achuthan Sreenivas, Bhavin Vadera, R S Gupta, Malik Parmar, Shubhangi Kulsange, Ameet Babre, Rahul Thakur, Christen Gray, Ranjani Ramachandran, Umesh Alavadi, Mayank Ghedia, Balasangameshwara Vollepore, Puneet Dewan, Catharina Boehme, C N Paramsivan

“…Significant variation was observed in failure rates both across instruments and over time; furthermore, substantial variation was observed in failure rate in two cartridges lots.…”
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Advancing Mental Health Care: A Comprehensive Review of Digital Tools and Technologies for Enhancing Diagnosis, Treatment, and Wellness by Muhammad Khalid Anser, Agha Amad Nabi, Ishfaq Ahmad, Muhammad Moinuddin Qazi Abro, Khalid Zaman

“…Wearable technology may detect heart rate, blood pressure, and sleep length, which may reveal mental health difficulties. …”
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Prevalence and associated factors of reading spectacle coverage among adults aged 35 years and above living in Debre Berhan Town, North Shewa, Ethiopia, 2023 by Matiyas Mamo Bekele, Melkamu Temeselew Tegegn, Nebiyat Feleke Adimassu, Abel Sinshaw Assem, Tarekegn CheklieZeleke, Abebizuhan Zigale Bayabil, Getenet Shumet Birhan, Abebech Fikade Shumye

“…Variables with a p-value of less than 0.05 in the multivariable binary logistic regression were deemed statistically significant.ResultsA total of 780 participants took part in the study, resulting in a response rate of 96.53%. The average age of the participants was 49.58 ± 9.31 years. …”
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Backdoor Listing Strategy and Financial Performance of Chinese Companies by Ali Saleh Alarussi, Lim Jia Hui

“…Two groups of control variables have been tested; the first group comprises firm characteristics, that is, firm size, growth, and leverage; the second group comprises macroeconomic factors, that is, inflation rate, gross domestic product growth rate, and interest rate. …”
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Sectional Information-Based Collision Warning System Using Roadside Unit Aggregated Connected-Vehicle Information for a Cooperative Intelligent Transport System by Sehyun Tak, Jinsu Yoon, Soomin Woo, Hwasoo Yeo

“…All the data for each road section are locally processed by the RSU using edge computing, allowing the SCWS to effectively estimate the information describing the vehicles surrounding the subject vehicle in each road section. …”
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Cloud Computing Resource Scheduling Algorithm Based on Unsampled Collaborative Knowledge Graph Network by Haichuan Sun, Liang Gu, Chenni Dong, Xin Ma, Zeyu Liu, Zhenxi Li

“…A cloud computing resource scheduling algorithm based on sampled collaborative knowledge graph network is designed to address the issues of lag in the process of cloud computing resource scheduling, high overall load rate, and large transient amplitude and phase errors. …”
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Heat Transfer Characteristics of <italic>n</italic>-Decane During Pyrolysis in a Rectangular Tube by LEI Zhiliang, BAO Zewei

“…Second, the sensitivity analysis method is applied to evaluate the degree of influence of flow rate and operating pressure on the conversion rate and gas production rate. …”
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