Rational well spacings for CO2 miscible flooding based on superposed relationships between connected sand bodies by JI Yingchun

“…A composite superposition coefficient of connected sand bodies was introduced to further address the impact of the complex superposition relationships between connected sand bodies in glutenite reservoirs. …”
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Machine Learning‐Based Identification of Children With Intermittent Exotropia Using Multiple Resting‐State Functional Magnetic Resonance Imaging Features by Mengdi Zhou, Huixin Li, Xiaoxia Qu, Lirong Zhang, Xueying He, Xiwen Wang, Jie Hong, Jing Fu, Zhaohui Liu

“…The linear regression (LR) classifier with analysis of variance (ANOVA) feature selection achieved the highest area under the receiver operator characteristic curve values (0.957, 0.804, and 0.818 for the training, validation, and test datasets, respectively) using five features, including the slow‐5 fALFF values of the right inferior parietal gyrus (IPG), right supplementary motor area (SMA), left primary somatosensory complex, right frontal opercula, and left dorsolateral prefrontal cortex (DLPFC), and the accuracy, sensitivity, and specificity values were 0.759, 0.759, and 0.760, respectively. …”
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Network Security Situational Awareness Based on Improved Particle Swarm Algorithm and Bidirectional Long Short-Term Memory Modeling by Peng Zheng, Yun Cheng, Wei Zhu, Bo Liu, Shuhong Liu, Shijie Wang, Jinyin Bai

“…Additionally, the fitting coefficient attains a value of 0.92. This indicates a high level of recognition and precision exhibited by the proposed model in detecting network security risk behaviors. …”
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Convolutional block attention gate-based Unet framework for microaneurysm segmentation using retinal fundus images by C. B. Vanaja, P. Prakasam

“…However, because of the complex background and varied lighting factors, it is challenging to recognize microaneurysms in fundus images automatically. …”
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Shannon entropy approach reveals relevant genes in Alzheimer's disease. by Alfonso Monaco, Nicola Amoroso, Loredana Bellantuono, Eufemia Lella, Angela Lombardi, Anna Monda, Andrea Tateo, Roberto Bellotti, Sabina Tangaro

“…Alzheimer's disease (AD) is the most common type of dementia and affects millions of people worldwide. Since complex diseases are often the result of combinations of gene interactions, microarray data and gene co-expression analysis can provide tools for addressing complexity. …”
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Faster, more accurate? A feasibility study on replacing human judges with artificial intelligence in video review for the Paris Olympics Taekwondo competition by Yuncheng Zhang, Ruojie Qu, Olivier Girard

“…Future developments should focus on real-time detection, multi-angle video integration, and application to other sports such as baseball, basketball, boxing, and judo.…”
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Sample Size in Multilevel Structural Equation Modeling - the Monte Carlo Approach by Adam Sagan

“…In the process of sample selection, an important issue is the relationship between sample size and the type and complexity of the statistical model, which is the basis for testing research hypotheses. …”
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Research on chaotic secure communication system based on all optical chaos injection double-loop electro-optical phase feedback loop by ZHOU Xuefang, WANG Fei, YANG Guowei, BI Meihua, XU Mengmeng, HU Miao

“…The results demonstrate that the designed chaotic secure communication system has higher complexity and the TDS are completely hidden when the feedback coefficient is small.…”
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MICROCIRCULATORY DISORDERS IN PATIENTS WITH ACUTE CORONARY SYNDROME by Sergey S. Krutitsky, Georgiy P. Plotnikov, Irina N. Sizova, Damir M. Galimzyanov, Dmitriy L. Shukevich, Evgeniy V. Grigoriev

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Metode COPRAS untuk Menentukan Kain Terbaik dalam Pembuatan Pakaian pada Butik Batik Hatta Semarang by Saifur Rohman Cholil, Mohamad Adi Setyawan

“…The method used by researchers is the COPRAS (Complex Proportional Assessment) method, the results that will be obtained in the form of complex and accurate recommendations in determining the best fabric for making clothes at the Butik Batik Hatta. …”
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Draping test with polygonal sample-holding table for measuring the shape-changing ability of sheet-like, bendable by gravity materials by Marianna Halász, Zsolt Borka, Gabriella Oroszlány

“…Abstract Draping is a 3-dimensional, complex shape change caused by gravity. It characterizes the ability of the given sheet-like material, often textiles, with low bending stiffness to adapt to the shape of an object in a complex way, and therefore, knowing it is important, especially from the point of view of simulating the behaviour of this material. …”
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Massive MIMO channel estimation and feedback based on compressed sensing by Pan MAO, Xiaoguang HUANG, Wei WANG, Jian SONG

“…Focused on the issue that the problem of low precision of channel estimation and complex feedback scheme in massive MIMO system,a compression sampling matching pursuit (BCC-CoSAMP) algorithm based on coefficient correlation was proposed in the differential channel estimation and feedback scheme.In this algorithm,the inner product of the relationship between two vectors in the CoSAMP algorithm was replaced by the vector relation based on the correlation coefficient,so the atoms with strong correlation of the original signal were quickly selected to improve the accuracy of channel estimation.The simulation results show that the proposed BCC-CoSAMP algorithm has an improved channel estimation accuracy compared with the CoSAMP algorithm and an average increase of the total system rate of 1.25 bit/(s.Hz) at low signal to noise ratio (SNR).…”
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Massive MIMO channel estimation and feedback based on compressed sensing by Pan MAO, Xiaoguang HUANG, Wei WANG, Jian SONG

“…Focused on the issue that the problem of low precision of channel estimation and complex feedback scheme in massive MIMO system,a compression sampling matching pursuit (BCC-CoSAMP) algorithm based on coefficient correlation was proposed in the differential channel estimation and feedback scheme.In this algorithm,the inner product of the relationship between two vectors in the CoSAMP algorithm was replaced by the vector relation based on the correlation coefficient,so the atoms with strong correlation of the original signal were quickly selected to improve the accuracy of channel estimation.The simulation results show that the proposed BCC-CoSAMP algorithm has an improved channel estimation accuracy compared with the CoSAMP algorithm and an average increase of the total system rate of 1.25 bit/(s.Hz) at low signal to noise ratio (SNR).…”
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New winter common wheat variety ‘Saban’ for the middle Volga Region by I. D. Fadeeva, F. F. Kurmakaev, R. Kh. Idiatova

“…Lodging resistance was 8.7 points with a coefficient of variation of 6.66 %. The variety ‘Saban’ is of the intensive type, responsive to the application of complex fertilizers. …”
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Elucidating the role of KLRD1 in coronary atherosclerosis: harnessing bioinformatics and machine learning to advance understanding by Huan Liang, Xiao Liang, Man Zheng, Shoudong Wang

“…Conclusions This research elucidates the complex relationship between KLRD1 and AS, underscoring its potential as a novel biomarker for diagnosing and monitoring the disease.…”
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Comprehensive evaluation and ranking of CMIP6 global climate models for simulating climate extreme indices across diverse hydrological and geographical regions of Nepal by Shiksha Bastola, Koshish Raj Maharjan, Innkyo Choo, Younghun Jung

“…The proposed framework is scalable and transferable to other regions with complex climatic and topographic variations, enhancing the robustness of climate model selection for impact studies.…”
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Synergizing TabNet and SHAP for PM10 Forecasting: Insights From Makkah, Saudi Arabia by Abdulrazak H. Almaliki, Afaq Khattak

“…This study utilizes the TabNet model to estimate PM10 concentrations, taking advantage of its ability to perform sparse feature selection and sequential decision-making to uncover complex relationships among different environmental variables. …”
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Machine Learning Approach to Model Soil Resistivity Using Field Instrumentation Data by Md Jobair Bin Alam, Ashish Gunda, Asif Ahmed

“…Sub-surface soil hydrological characterization is one of the challenging tasks for engineers and soil scientists, especially the complex hydrological processes that combine key variables such as soil moisture, matric suction, and soil temperature. …”
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Simultaneous Determination of Pyridine, Aniline and Nitrobenzene in Printing and Dyeing Wastewater by Headspace Gas Chromatography-Mass Spectrometry by Yue WU, Yongzhong LAI, Guoyong LU, Xiaosheng LIN, Shusheng LIANG, Wenshuai XU

“…Finally, the experiment conditions were optimized.RESULTSThe results showed that the linear ranges of pyridine and aniline were between 1.00µg/L and 30.0µg/L, and nitrobenzene was in the mass concentration range of 0.50-15.0µg/L, with the correlation coefficient above 0.992. The limits of detection were 0.15-0.93µg/L. …”
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Pointwise prediction of protein diffusive properties using machine learning by Rasched Haidari, Achillefs N Kapanidis

“…Prior work in this field primarily focuses on traditional methods, such as mean square displacements, for calculation of protein diffusion coefficients and biological states. This proves difficult and error-prone for proteins undergoing heterogeneous behaviour, particularly in complex environments, limiting the exploration of new biological behaviours. …”
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