Combining memory transfer language with constructivism and reversibility to improve comprehension in introductory programming by Leonard J. Mselle

“…Only 32% of the control group, which was instructed with the traditional approach (the first method), passed the test. To the contrary, 61% of the treatment group, which was instructed using the MTL PV + constructivism + reversibility, passed the test. …”
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Critical Nodes Identification of Scientific Achievement Commercialization Network under k-Core by Wuyan Weng, Zi Li, Qirong Qiu, Junheng Cheng

“…Aiming to improve the commercialization efficiency of scientific innovative achievements, this paper utilizes the time series visualization method to construct the time series network of each subsystem. …”
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Lung ultrasound in the diagnosis of COVID-19-associated pneumonia by A. A. Balabanova, A. P. Kurazhov, V. D. Zavadovskaya

“…Currently, in the context of the COVID-19 pandemic, lung ultrasound is widely used due to its high diagnostic efficiency, which is comparable with classical radiography and X-ray computed tomography (CT) by a number of parameters.The article describes the method of lung ultrasound and the radiographic pattern of COVID-19-associated pneumonia. …”
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ASSESSMENT OF YOUTHS PARTICIPATION IN CASSAVA PRODUCTION UNDER THE VALUE CHAIN DEVELOPMENT PROGRAMME (VCDP) IN BIDA LOCAL GOVERNMENT OF NIGER STATE, NIGERIA by Abigail John JIRGI, Cornelius Owoniyi ADEBAYO, Abdulwahab ABDULLAHI, Faith Debaniyu IBRAHIM, Ayodeji Alexander Ajibola COKER

“…The problem of disproportion between the potential volume of grain production and the certified grain storage facilities in Ukraine requires the search for alternative options of technical and technological support for grain stocks management. The method of identifying territorial reserves for the construction of elevator facilities is proposed based on the integral estimation of the proportions between the parameters of the grain offer and the possibilities of its storage across different regions of Ukraine with the corresponding mapping visualization. …”
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Quantifying Topographic Ruggedness Using Principal Component Analysis by Maan Habib

“…Besides, quantitative and qualitative method is espoused to validate the algorithms and compare their capabilities to the previously introduced models in the literature. …”
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Modelling environment for analyzing the algorithms for 3D reconstruction of videoendoscopic research objects by A. F. Chernyavsky, K. A. Halavataya, V. S. Sadau

“…To compare the result of  reconstruction with a scene, generated using the proposed modelling environment, an optimality criterion is introduced, by which the individual stages of the three-dimensional reconstruction algorithm are compared when the model is optimized using the bundle adjustment method.…”
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Global Feature Focusing and Information Enhancement Network for Occluded Pedestrian Detection by ZHENG Kaikui, JI Kangyou, LI Jun, LI Qiming

“…Therefore, developing a more effective method to address pedestrian occlusion detection is essential for enhancing the performance of pedestrian detectors.MethodsProposed the Global Feature Focusing and Information Enhancement Network (GFFIE-Net). …”
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Fault diagnosis of rotating parts integrating transfer learning and ConvNeXt model by Zhikai Xing, Yongbao Liu, Qiang Wang, Junqiang Fu

“…Experimental results demonstrate that this data visualization method extracts more fault-related information compared to traditional time-domain and frequency-domain techniques, without the need to augment the sample size. …”
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Advanced analysis of defect clusters in nuclear reactors using machine learning techniques by Shuai Ren, Xinyu Zhang, Huizhao Li, Changjun Hu, Dandan Chen

“…The contributions of this study are as follows: (1) Integration of a large-scale molecular dynamics (MD) dataset generated by cascade collisions and the application of machine learning (ML) techniques to investigate point defects and their clusters in reactor pressure vessel (RPV) materials; (2) Proposal of a novel clustering method based on physical characteristics, enabling efficient classification of defect clusters while effectively reducing data noise; (3) Development of a component-based defect cluster configuration recognition method using a dual-pointer lattice-filling technique, accurately capturing all defects and identifying several cluster morphologies observed in experiments; (4) Demonstration of the algorithm’s outstanding performance in handling systems containing millions of atomic coordinates, showcasing its scalability and robustness; (5) Visualization of the three-dimensional spatial distribution of defect clusters and provision of two-dimensional spatial density distribution maps for vacancy clusters and interstitial clusters, offering precise characterization of spatial relationships within defect clusters and new insights into the irradiation mechanisms of materials.…”
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Long-Term Effect Analysis of a High Slope with Tunnel Structure Based on Three-Dimensional Mesh Reconstruction by Youzhi Shi, Ganglie Yuan, Ailan Che, Shixiong Qian

“…The material threshold was determined using the resistivity probability density statistical method, and a three-dimensional geological visualization model was obtained. …”
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Blockchain-based privacy-preserving multi-tasks federated learning framework by Yunyan Jia, Ling Xiong, Yu Fan, Wei Liang, Neal Xiong, Fengjun Xiao

“…Federated learning (FL), as an effective method to solve the problem of “data island”, has become one of the hot and widespread concern topics in recent years. …”
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Real-world super-resolution with VLM-based degradation prior learning by Xiaxu Chen, Duixu Mao, Jun Ke

“…Inspired by advances in multimodal approaches, we propose DePLSR, a method that leverages large-scale pre-trained vision-language models to learn degradation features. …”
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Science-Economy-Technology Concordance Matrix for Development and Implementation of Regional Smart Specializations in the Silesian Voivodeship, Poland by Adam Smoliński, Jan Bondaruk, Magdalena Pichlak, Leszek Trząski, Elżbieta Uszok

“…The in-depth expert analyses with the application of the Delphi method were also taken into account. The methodological approach developed and the visualization method applied are both of cognitive and practical importance since they contribute significantly to the creation of efficient development policies, to the enhancement and facilitation of cross-sectoral cooperation, and to the focusing on the fields of key importance in terms of the competitive advantage of a region.…”
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Changes in the Structure of Tax Revenues of Russian Regions by A. Sh. Kamaletdinov, A. A. Ksenofontov

“…The purpose of the study is to justify the use of the invariance property of the index method to study the change in the structure of tax revenues of Russian regions in the period from 2017 to 2021. …”
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Intraluminal foreign bodies commonly found in daily practice in a tertiary care hospital: a pictorial essay by Rafael Pimenta-Camilo, Luis R. Marquez-Ferreira de Souza, Tamires Hortêncio-Alvarenga, Felipe Alves-Nazario

“…Imaging techniques are essential for diagnosis and management, and the indications and limitations of each method must be considered. …”
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An end-to-end interpretable machine-learning-based framework for early-stage diagnosis of gallbladder cancer using multi-modality medical data by Huiyu Zhao, Chuang Miao, Yidi Zhu, Yijun Shu, Xiangsong Wu, Ziming Yin, Xiao Deng, Wei Gong, Ziyi Yang, Weiwen Zou

“…The visualization results obtained based on the interpretable methods also demonstrated a high clinical relevance of the intermediate decision-making processes. …”
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Deep learning-based diffusion MRI tractography: Integrating spatial and anatomical information by Yiqiong Yang, Yitian Yuan, Baoxing Ren, Ye Wu, Yanqiu Feng, Xinyuan Zhang

“…Diffusion MRI tractography technique enables non-invasive visualization of the white matter pathways in the brain. …”
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Linking multivariate trait variation to the environment: the advantages of double constrained correspondence analysis with the R package douconca by Cajo J.F. ter Braak, Bart-Jan van Rossum

“…It extends joint species distribution modelling and species-environment relationship studies by incorporating trait data. Traditional methods include RLQ ordination, fourth-corner correlation analysis, and community-weighted means (CWM) regression, with generalized linear mixed models (GLMM) also being used.Through three case studies, we demonstrate that double-constrained correspondence analysis (dc-CA), an ordination method with biplot visualization, is a competitive alternative. …”
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TICTAC: target illumination clinical trial analytics with cheminformatics by Jeremiah I. Abok, Jeremy S. Edwards, Jeremy J. Yang

“…To overcome these limitations, an integrated approach is required that consolidates evidence from diverse data sources to support the effective prioritization of biological targets for further research.MethodsWe developed a comprehensive data integration and visualization pipeline to infer and evaluate associations between diseases and known and potential drug targets. …”
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Functional state of the pancreas in adolescents with peptic ulcer of duodenum by I. S. Lembryk

“…In addition to conventional diagnostic algorithm for duodenal ulcer and pancreatic diseases the sonography with detailed visualization of the pancreas by method of B. M. Tarasyuk was performed. …”
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