Water Level Variation Monitoring in East Lake, Wuhan Based on Satellite Altimetry by LIU Huo-sheng, WANG Hai-hong, YU Qian-hui, LU Liang, QIN Peng-cheng, LIU Yi-bing

“…[Results] (1) Statistical analysis of pulse peakiness and waveform width from the lake surface altimetry echoes revealed that approximately 50% of East Lake’s waveforms exhibited specular reflections with distinct sharp peaks, while about 30% displayed complex shapes containing two or more peaks. (2) The results of accuracy validation using the on-site measured data of water levels showed that the 50% threshold retracking method achieved optimal performance, with a root mean square error (RMSE) of 0.108 m and a correlation coefficient of 0.87. (3) Based on the 50% threshold retracking method, and using Jason-3 data, the water level time series of East Lake from September 2017 to February 2022 was established. …”
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Contact ion-pair SN2 reactions activated by Lewis Base Phase transfer catalysts by Ju Gyeong Jeong, Young-Ho Oh, Tae Hyun Park, Sung-Sik Lee, Dong Wook Kim, Sungyul Lee

“…In this extremely efficient and selective protocol of wide applicability, the CIP MF is activated by the Lewis base PTCs acting on the counter-cation M+ to drastically mitigate the latter’s retarding Coulomb forces on the adjacent nucleophile F-, with or without the participation of hydrogen bonds.…”
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Three-Dimensional Stability Characteristics of Finite Electrified Conducting Fluids Streaming through a Porous Medium by T. M. N. Metwaly, Zakaria M. Gharsseldien

“…The quadratic dispersion equation of complex coefficients representing the system is derived and discussed. …”
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Optimizing PAPR performance for 6G OTFS waveform using adaptive genetic PTS method for Rician fading channels by Arun Kumar, Aziz Nanthaamornphong, Nishant Gaur

“…Compared to traditional methods, such as standard partial transmit sequence (PTS), selective mapping, and companding, AGA-PTS offers faster convergence and lower computational complexity owing to its dynamic phase adaptation mechanism. …”
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Greener solvents in extraction of proteins and peptides by Katarína Maráková

“…The sample pretreatment still represents a fundamental aspect of any analytical workflow, and the implementation of sustainable and efficient extraction of proteins is essential to satisfy the increasing requirements for high-quality extraction of proteins from their natural sources. …”
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Comparison of Hadoop Mapreduce and Apache Spark in Big Data Processing with Hgrid247-DE by Firmania Dwi Utami, Femi Dwi Astuti

“…This study provides valuable insights into the strengths and limitations of each framework, offering guidance for practitioners and researchers when selecting the appropriate tool for specific big data processing requirements, particularly with respect to speed, memory usage, and task complexity.…”
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New fruit waste-derived activated carbons of high adsorption performance towards metal, metalloid, and polymer species in multicomponent systems by Sylwia Kukowska, Piotr Nowicki, Katarzyna Szewczuk-Karpisz

“…In the two-component systems, polymers could favour metal/metalloid adsorption based on complexation phenomena. However, the most efficient and environmentally safe activated carbon turned out to be the one obtained from orange peels by microwave-assisted, direct activation at 800 °C in the CO2 atmosphere.…”
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Design and performance evaluation of low-voltage solid-state DCCB using capacitor-based surge mitigation techniques by Mehdi Moradian, Tek Tjing Lie, Kosala Gunawardane

“…Since all circuit operation results are considered acceptable, the article scrutinizes circuit configurations and selects the most effective surge absorption technique based on active and passive components and surge mitigation complexity. …”
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Heterogeneous Electrocatalytic CO2 Reduction by Supported Molecular Catalysts Well Dispersed on Electrode Surface by Ke Ma, Shiyu Zhang, Weixuan Nie

“…Among various electrocatalysts, molecular catalysts, particularly transition metal complexes, stand out due to the high selectivity for single specific products and desirable tunability, enabling rational optimization of catalytic performance. …”
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ACSAformer: A crime forecasting model based on sparse attention and adaptive graph convolution by Zhenkai Qin, Baozhong Wei, Baozhong Wei, Caifeng Gao, Caifeng Gao, Feng Zhu, Feng Zhu, Weiqi Qin, Weiqi Qin, Qian Zhang

“…The sparse attention mechanism further reduces the number of key tokens each query needs to attend to by computing similarity scores only for query-key pairs selected according to predefined patterns, reducing the computational complexity from O(L2) to O(L log L) and greatly improving the efficiency of long-sequence processing. …”
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Expert assessment of the effectiveness of measures to improve working conditions in foundries by A. M. Lazarenkov, M. A. Sadokha, T. P. Kot

“…Four classes of foundries have been established according to working conditions, which are determined by a complex of factors of the production environment. …”
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ECONOMETRIC MODELING, EVALUATION AND FORECASTING OF THE RURAL WORKFORCE SITUATION IN THE REPUBLIC OF MOLDOVA by Svetlana GOROBIEVSCHI, Liubovi DOROFEEVA

“…The more and more often use of these models in economic phenomena investigation are due to significant progresses made in the field of estimation methods of models’ parameters and that of verification tests, on which these are based on and, last but not least, that of the use of electronic calculators that allow the operative solving of the most complex economic problems. In conclusion, the authors propose a model of econometric regression between the selected variables that have a maximal level of influence on the rural migration situation in the Republic of Moldova, justified by elasticity coefficients values.…”
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Creation of mathematical model for estimating energy intensity of livestock wastes disinfection by Besarion C. Meskhi, Nikolay V. Limarenko, Victor P. Zharov, Boris G. Shapoval

“…Electric energy intensity is selected as a parameter characterizing the energy efficiency of the of livestock wastes disinfection process. …”
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Structure-guided drug repurposing identifies aristospan as a potential inhibitor of β-lactamase: insights from virtual screening and molecular dynamics simulations by Moyad Shahwan, Moyad Shahwan, Mohd Shahnawaz Khan, Azna Zuberi, Nojood Altwaijry, Anas Shamsi

“…To explore the interactions further, the best docking pose of Aristospan was selected for MD simulations to assess the thermodynamic stability of the drug-enzyme complex and its conformational changes over 500 ns. …”
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Runoff Forecasting Research Coupling Quadratic Factor Screening and Deep Learning by CHENG Liwen, HUANG Shengzhi, LI Pei, LI Ziyan, JIA Songtao, HUANG Qiang

“…The effective screening of factors influencing runoff is a key aspect of runoff forecasting research.However,there are many factors affecting runoff,and these factors have complex interactions.Most of the existing studies use numerically driven models with primary factor screening,and the results show that the input factors are spatially redundant,leading to poor forecasting results.In view of this,the support vector regression (SVR) and the long-short memory network model (LSTM) are compared with Weihe River Basin as an example,and the LSTM model is selected as the optimal forecasting model.Principal component analysis and gray correlation analysis are used for secondary screening of the input terms to form a model coupling principal component analysis,gray correlation analysis,and LSTM.The results show that:①the fitting accuracy of LSTM is higher than that of SVR;②the secondary screening of the input terms improves the forecast accuracy,and the forecast accuracy of the coupled model is better than that of the single model,specifically,the model accuracy evaluation indexes of the coupled model are substantially improved compared with those of the single model;③the Nash efficiency coefficient and deterministic coefficient of the coupled model of gray system correlation analysis are improved by 0.13% and 0.03%,respectively,compared with those of the coupled model of principal component analysis,and the standard deviation ratio of observed values is improved by 42.9%.The study shows that the secondary factor screening by using gray correlation can effectively improve forecast accuracy.…”
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Differentiated GNSS Baseband Jamming Suppression Method Based on Classification Decision Information by Zhongliang Deng, Zhichao Zhang, Xiangchuan Gao, Peijia Liu

“…In complex urban electromagnetic environments, wireless positioning signals are subject to various types of interference, including narrowband, chirp, and pulse jamming. …”
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Application of Convolutional Neural Networks in Animal Husbandry: A Review by Rotimi-Williams Bello, Roseline Oluwaseun Ogundokun, Pius A. Owolawi, Etienne A. van Wyk, Chunling Tu

“…This paper aims to comprehensively review recent advancements and applications of relevant models that are based on CNNs for livestock health monitoring, covering the detection of their various diseases and classification of their behavior, for overall management gain. We selected relevant articles with various experimental results addressing animal detection, localization, tracking, and behavioral monitoring, validating the high-performance accuracy and efficiency of CNNs. …”
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Container Liner Shipping System Design Considering Methanol-Powered Vessels by Zhaokun Li, Xinke Yu, Jianning Shang, Kang Chen, Xu Xin, Wei Zhang, Shaoqiang Yu

“…While methanol, including both green and gray methanol, offers environmental benefits, its lower energy density introduces operational complexities. Motivated by the aforementioned background, we establish a bi-level programming model. …”
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STUDY OF QUALITY INDICATORS AND TECHNOLOGICAL CHARACTERISTICS OF LEAVES, STEMS AND FLOWERS OF <i>INULA VISCOSA </i>(L.) AS PROMISING RAW MATERIALS by R. Mussa, N. V. Sineva, V. V. Vandyshev, S. N. Suslina

“…The technological characteristics of the crushed raw materials are studied: bulk density, bulk mass, absorption coefficients of solvents with different ethanol content, based on the values of which 70% ethanol is selected as extractant for extraction. 70% ethanol is able to extract a multicomponent target complex of substances including phenolic acids, flavonoids, tannins, sesquiterpenoids. …”
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Load balancing based on clustering analysis and deep learning for multi-frequency and multi-mode network by Yaxing QIU, Xidong WANG, Sen BIAN, Lei YUE

“…Load balancing is a huge challenge for LTE multi-frequency and multi-mode network.Hundreds of parameters are involved in load balancing for the complex network structure.Therefore,it is difficult to perform precise and meticulous configuration only relying on human experience.In order to cope with the challenge,a load balancing scheme based on clustering analysis and deep learning was proposed.Firstly,the key indicators were selected to identify the network scenes,and then big data and deep learning technologies were used to mine the relationship between data.Finally,the optimum system parameters for different network scenes were found.It has been proved that machine learning technology can greatly improve the accuracy and the efficiency of parameter configuration.…”
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