Linking Neurocardiovascular Responses in the Active Stand Test to Adverse Outcomes: Insights from the Irish Longitudinal Study on Ageing (TILDA) by Feng Xue, Roman Romero-Ortuno

“…Background: This study aimed to investigate the neurocardiovascular responses during an Active Stand (AS) test, utilizing both pre-processed and raw signals, to predict adverse health outcomes including orthostatic intolerance (OI) during the AS, and future falls and mortality. …”
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Effects of Different Treatments on Storage Stability and Flavor Characteristics of Wheat Germ by Zihan SHAO, Xun GONG, Yu SONG, Shu TAO, Ying HONG, Chao LIU, Jiaqi ZHU, Mingchun WANG, Lei CAO, Jinxia YE, Kaixuan MA

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RaGeoSense for smart home gesture recognition using sparse millimeter wave radar point clouds by Honghong Chen, Xiangyu Wang, Zhanjun Hao, Yuru Lu, Jingyu Li, Haozhe Zhang, Ben Xi

“…RaGeoSense effectively improves the recognition performance and system robustness by combining multiple advanced signal processing and deep learning methods. Firstly, the system adopts three methods, namely K-mean clustering straight-through filtering, frame difference filtering and median filtering, to reduce the noise of the raw millimeter wave data, which significantly improves the quality of the point cloud data. …”
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Technology for Improving the Accuracy of Predicting the Position and Speed of Human Movement Based on Machine Learning Models by Artem Obukhov, Denis Dedov, Andrey Volkov, Maksim Rybachok

“…The proposed technology includes analysing and processing data from the tracking system, developing machine learning models to improve the quality of the raw data, predicting the position and speed of human movement, and implementing and integrating neural network methods into the running platform control system. …”
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AI-Driven Belt Failure Prediction and Prescriptive Maintenance with Motor Current Signature Analysis by João Paulo Costa, José Torres Farinha, Mateus Mendes, Jorge O. Estima

“…The methodology involves the collection and pre-processing of raw spectral data from industrial assets, followed by the training and optimization of predictive models. …”
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Approach to automating viral genome assembly by Ms Anastasiia Paremskaia, Dr Andrei Deviatkin, Dr Pavel Volchkov

“…IGV visualization demonstrates that the identified substitutions perfectly match the reads, indicating that these discrepancies are unlikely to be errors in data processing. Discussion: Thus, the number of segments determines the number of operations required to compare raw reads with the database. …”
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Establishment of Hyperspectral Prediction Model of Water Content in Anshan-Type Magnetite by Xiaoxiao XIE, Yang BAI, Jiuling ZHANG, Yuna JIA

“…The prediction effects of different magnetite water content models were compared, and finally the best model was selected to improve the accuracy of water content detection in mineral processing and smelting. The results show that: (1) when the water content of Anshan-type magnetite samples with different particle sizes changes, the change trend of their spectral curves is generally consistent, and the reflectivity is negatively correlated with the water content, it shows obvious absorption characteristics around 990nm, 1440nm and 1920nm; the Pearson correlation coefficient (r) of spectral data pretreated by MSC and SNV can reach −0.950(412nm) and −0.964 (421nm), respectively. (2) Among the three models, the PSO-LSSVR model is the most stable, and the SNV-CARS-LSSVR model with granularity of 0.3−0.5mm and the MSC-CARS-PSO-LSSVR model with granularity of 0.5−2mm are preferred. …”
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MORPHOLOGICAL ANATOMICAL AND PHITOCHEMICAL CHARACTERISTICS OF SOME ALGAE by N. S. Kaysheva, M. N. Arkhipova, A. S. Kayshev

“…In comparison with Fucus and Ahnfeltia higher concentration of the following content was noted in Laminaria: alginic acids (1.4 and 5.75 times higher), polysaccharides (1.3 and 1.4 times), iodine (4.5 and 1.8 times), mannatol (1.5 and 2.5 times) (data received is statistically reliable). Impropriety of storm algae for processing was shown as law quality raw material. …”
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Gas Mass Spectrometry of Industrial Yogurts by Vladimir S. Sibirtsev, Alexey G. Kuzmin, Yuri A. Titov, Anna Yu. Zaitseva, Vladislav V. Sherstnev

“…These samples and their packaging were evaluated using a small-sized quadrupole gas mass spectrometer MS7-200 with electron impact ionization developed at the Institute for Analytical Instrumentation, Russian Academy of Sciences. The data obtained were mathematically processed by the method of principal components. …”
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Analyzing social psychological impact on emotional expression through peer communication using crayfish optimization algorithm with deep learning model by Umkalthoom Alzubaidi

“…Initially, the text pre-processing stage contains various levels to clean, normalize, and structure raw text data to improve the performance. …”
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ҚАЗАҚСТАННЫҢ ӨҢДЕУ ӨНЕРКӘСІБІ ЭКСПОРТЫН ТАЛДАУ by K. A. Turkeeva, O. Sh. Adilkhanov

“…A comparative analysis of data at the regional and sectoral levels has been carried out in order to identify the potential for export development. …”
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Pemanfaatan Limbah Tandan Kosong Kelapa Sawit dan Kulit Jagung Manis menjadi Kertas Karton menggunakan Metode Organosolv by Cindi Ramayanti, Winda Febrina Sari, Mustain, Erika Dwi Oktaviani, Apri Mujiyanti

“…From these data, it can be concluded that cardboard paper is produced from EFB raw materials and sweet corn husks with a raw material ratio of 30:70 %w/w and a cooking solution ratio of 30:50:20 %w/w using the process organosolv has met SNI 0123:2008 standards on tensile index, absorption capacity and grammage regarding the quality requirements for paperboard.…”
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IN VIVO ENRICHMENT OF THE LAMB OF ESSENTIAL TRACE ELEMENTS FOR ITS USE IN THE TECHNOLOGY OF FUNCTIONAL FOODS by Tatiana M. Giro, Ivan F. Gorlov, Marina I. Slozhenkina, Sergey V. Kozlov, Nogman V. Tasmuchanov

“…So, 100 g of m. longissimus dorsi contained 8.2; 77.0 and 51.7 % of the recommended daily intake of these elements, respectively, that proved the feasibility of further output of the functional products with balanced essential nutrients. Based on the data on greater localization of microelements in meat from the ram lamb fed «Yoddar-Zn» with «DAFS-25», we made jerked snacks from the raw materials obtained from the animals of this test group. …”
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Flux-based plant water availability in tropical soils from Brazil by Quirijn de Jong van Lier

“…The findings highlight the importance of process-based methods and quality soil data, and allow to conclude that flux-based predictions of TAW and RAW should be preferred, as they correlated better to soil water balance components. …”
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Spectral Feature Extraction Using Partial and General Method by Bin Jiang, Xi Fang, Yang Liu, Xingzhu Wang, Jie Liu

“…The two feature vectors and raw data are input into three neural networks, respectively, for training and each network votes for a predicted category of spectra. …”
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Enhanced Fault Diagnosis in Milling Machines Using CWT Image Augmentation and Ant Colony Optimized AlexNet by Niamat Ullah, Muhammad Umar, Jae-Young Kim, Jong-Myon Kim

“…A method is proposed for fault classification in milling machines using advanced image processing and machine learning. First, raw data are obtained from real-world industries, representing various fault types (tool, bearing, and gear faults) and normal conditions. …”
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Pattern recognition of control chart with variable chain length based on recurrent neural network by Tao Zan, JiaWei Chen, ZhiLue Sun, ZhiHao Liu, Min Wang, XiangSheng Gao, Peng Gao

“…In this study, control charts with six different chain lengths are generated through the Monte Carlo simulation method. Prior to processing the raw data, expected values are introduced as padding. …”
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The Development of an Intelligent System Architecture for Autonomous Care (ISAAC) by Logan Gisick, Alyssa Tanaka, Bob Marinier, Robert Picking, Cameron Copland

“…Our ISAAC Diagnosis algorithms provide support for physiological, medical imaging, and laboratory test results with an automated pipeline for processing raw data, identifying features, and mapping this information to symptoms. …”
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MONITORING OF RESEARCH ON THE CHEMICAL COMPOSITION OF WHITE ROOT CROPS by S. Lehnert, V. Zaytseva, A. Dubinina, M. Mardar, T. Kuklina, O. Cherevko, T. Letuta, L. Tatar

“…The necessity of conducting scientific research on the search for new, more effective methods of processing raw materials has been proven. The prospect of using white root crops for the production of special purpose products after their detoxification has been proven.…”
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A Weight Assignment-Enhanced Convolutional Neural Network (WACNN) for Freight Volume Prediction of Sea–Rail Intermodal Container Systems by Yuhonghao Wang, Wenxin Li, Xingmin Qi, Yinzhang Yu

“…In order to integrate the use of transportation resources, develop a reasonable sea–rail intermodal container transportation plan, and achieve cost reduction and efficiency improvement of the multimodal transportation system, a method for predicting the daily freight volume of sea–rail intermodal transportation based on a convolutional neural network (CNN) algorithm is proposed and a new feature processing method is used: weight assignment (WA). Firstly, we use qualitative methods to preliminarily select the indicators, and then use multiple interpolation to fill in the missing raw data. …”
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