Precision Target Spraying System Integrated with Remote Deep Learning Recognition Model for Cabbage Plant Centers by ZHANG Hui, HU Jun, SHI Hang, LIU Changxi, WU Miao

“…By meticulously recording the response times of the three primary components of the system, the valuable data were gathered. The average time required for image processing was determined to be 29.50 ms, while the transmission of decision signals took an average of 6.40 ms. …”
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Grid-Based Predictive Geographical Routing for Inter-Vehicle Communication in Urban Areas by Si-Ho Cha, Keun-Wang Lee, Hyun-Seob Cho

“…We propose a grid-based predictive geographical routing (GPGR) protocol, which overcomes these problems. GPGR uses map data to generate a road grid and to predict the moving position during the relay node selection process. …”
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Study the Inhibition Effect of Amoxicillin Drug for Corrosion of Carbon Steel in Saline Media by Zeena Sh. Mahmoud, Abeer K. Shams, Taghried Ali Salman

“…The results also indicate that the rate of corrosion increases at a temperature of 313 K.. …”
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Matrix Pencil for RFID Collision Recovery by Hamed Salah, Reza Hassanpour, Georgi Gaydadjiev

“…This paper presents a novel algorithm to estimate all tag parameters, such as tag data rate, number of tags per slot, and CSI, using the Matrix Pencil Method (MPM). …”
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Flood Forecasting Simulation in Karst Areas——A Case Study of Jinbao River Basin in Yangshuo by YUAN Meng, HU Haiying, TIAN Tian, ZHU Dantong, CHENG Xiangju

“…In order to test the simulation effect of the distributed hydrological model (HEC-HMS) on the flash flood runoff process in karst areas, the hydrological model was constructed using hydrometeorological and subsurface data in the Jinbao River Basin of Yangshuo as an example. …”
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Primary-School-Age Population Change in the Federation of Bosnia and Herzegovina: The Effects of Demographic Factors by Alma Kadušić, Nedima Smajić

“…These trends included intensive migration, a decrease in the total number of inhabitants, a decrease in the birth rate, an increased mortality rate, a decreased rate of natural population change, and the ageing of the population. …”
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Effect of low impact development retrofitting in Shenzhen Xincheng Park by TIAN Kun, GONG Yongwei, CHEN Shijie, REN Xinxin, LI Junqi, WANG Wenliang

“…The calibration and validation of the model parameters were carried out using the measured data. The control rate of individual rainfall runoff events, the peak flow control rate, the peak time and the volume capture ratio of annual rainfall runoff volume as well as the related influence factors were analyzed under the different conditions of rainfall. …”
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Extraction for the Evolution Features of Cavitation Cloud Induced by the Self-excited Oscillating Jet by Z. Hao, K. Li, R. Zhang, Y. Wang, G. Liu

“…The proper orthogonal decomposition (POD) method is employed to extract modal features and analyze the flow fields of a large amount of image data. The basic idea of the POD method is to transform the data into a set of orthogonal basis functions namely eigenmodes or principal components by performing a singular value decomposition of the data matrix. …”
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SLOW DEFORMATION WAVES IN THE SEISMIC REGIME AND GEOPHYSICAL FIELDS AT THE NORTHERN MARGIN OF THE AMUR PLATE by S. V. Trofimenko, V. G. Bykov, N. N. Grib

“…Our estimations show that the geophysical anomalies migrate at different rates, from 100 to 1000 km per year. Based on the results obtained in our study and their comparison with other available data, the dynamics of seismicity along the northern margin of the Amur plate is identified as a wave process.…”
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Thermodynamic, Kinetic, and Equilibrium Parameters for the Removal of Lead and Cadmium from Aqueous Solutions with Calcium Alginate Beads by Ruth Alfaro-Cuevas-Villanueva, Aura Roxana Hidalgo-Vázquez, Consuelo de Jesús Cortés Penagos, Raúl Cortés-Martínez

“…Sorption kinetic data were fitted to Lagergren, pseudo-second-order and Elovich models and it was found that the second-order kinetic model describes these data for the two metals; comparing kinetic parameters for Cd and Pb sorption a higher kinetic rate (K2) for Pb was observed, indicating that the interaction between lead cations and alginate beads was faster than for cadmium. …”
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A New BiRNN-SVA Method for Side Lobe Suppression by Shuyi Liu, Yan Jia, Yongqing Liu, Limin Zhai, Xiangkun Zhang

“…The experimental results demonstrate that the BiRNN-SVA method can be applied to data at any Nyquist sampling rate and has superior PSLR and ISLR compared to the GSVA algorithm and MSVA algorithm. …”
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Isoform‐resolved correlation analysis between mRNA abundance regulation and protein level degradation by Barbora Salovska, Hongwen Zhu, Tejas Gandhi, Max Frank, Wenxue Li, George Rosenberger, Chongde Wu, Pierre‐Luc Germain, Hu Zhou, Zdenek Hodny, Lukas Reiter, Yansheng Liu

“…To thoroughly assess the role of protein post‐translational turnover, we devised a strategy combining pulse stable isotope‐labeled amino acids in cells (pSILAC), data‐independent acquisition mass spectrometry (DIA‐MS), and a novel data analysis framework that resolves protein degradation rate on the level of mRNA alternative splicing isoforms and isoform groups. …”
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Reduced-Order Model for Catalytic Cracking of Bio-Oil by Francisco José de Souza, Jonathan Utzig, Guilherme do Nascimento, Alicia Carvalho Ribeiro, Higor de Bitencourt Rodrigues, Henry França Meier

“…The simulation results are validated against experimental data from a full-scale FCC unit, demonstrating good agreement in terms of product yields. …”
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Breast Tumor Diagnosis Based on Molecular Learning Vector Quantization Neural Networks by Chun Huang, Jiaying Shao, Baolei Peng, Qingshuang Guo, Panlong Li, Junwei Sun, Yanfeng Wang

“…However, these systems lack self‐learning capabilities for intelligent diagnostics in biological samples, and their data processing capabilities are limited. Here, a molecular learning vector quantization neural network (LVQNN) model based on DNA strand displacement (DSD) technology for breast tumor diagnosis is developed. …”
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Recommendation Algorithm of Web-Based Learning Resources considering Timeliness and Popularity by Xiaolu Han

“…The optimized learner evaluation matrix and similarity model are essential methods to deal with the challenges of “data sparsity” and “cold start” in the process of learning resource recommendation on the online learning platform. …”
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Architecture of an MAS-Based Intelligent Communication in a WSN by Mostefa Bendjima, Mohammed Feham

“…To ensure this objective, we propose the integration of a migrating agent into each node to process data and enhance cooperation between neighboring nodes, while mobile agents (MAs) can be used to reduce data transfer between the nodes and send them to the base station (Sink). …”
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A dynamic simulation model for digestion, gut transit, and absorption in the ballan wrasse, Labrus bergylta by T.S. Silva, L.E.C. Conceição, Ø. Sæle, I. Rønnestad

“…Dynamic models are powerful tools for integrating practical data from experiments with hypotheses, theoretical concepts, and literature data in an iterative process that clarifies and controls experiments, hypotheses, and designs. …”
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Dynamic Modeling of Limit Order Book and Market Maker Strategy Optimization Based on Markov Queue Theory by Fei Xie, Yang Liu, Changlong Hu, Shenbao Liang

“…Then, the key parameters are estimated using the high-frequency data of Ping An Bank for a single trading day. In the empirical aspect, the six-month high-frequency trading data of 114 representative stocks in different market states such as the bull market and bear market in China’s A-share market were selected for strategy verification. …”
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Content Analysis of Nutritional Supplement Intake Patterns and Doping Risk Awareness among Domestic Adult Athletes by Jung-Hyun Yun, Mi-Na Jin, Chang-Jin Lee

“…The data were processed by frequency and correlation analysis using SPSS Ver 25.0 and Python 3 software. …”
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Studying the Impact of Changing Consumer Behavior During Crisis Periods Through Store Classification by Kiymet Tabak Kızgın, Selçuk Alp

“…The hybrid model consisting of random forest and support vector machine gave the highest accuracy rate (90%) for the period including all data for store classification. …”
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