Efficient Urban Tree Species Classification via Multirepresentation Fusion of Mobile Laser Scanning Data by Yinchi Ma, Peng Luan, Yujie Zhang, Bo Liu, Lijie Zhang

“…This study presents tree morphology multirepresentation fusion network, integrating 3-D point cloud data with 2-D projections for enhanced tree species classification. …”
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Improved Cd Detection in Rice Grain Using LIBS with Husk-Based XGBoost Transfer Learning by Weiping Xie, Jiang Xu, Lin Huang, Yuan Xu, Qi Wan, Yangfan Chen, Mingyin Yao

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Extent of Challenges Encountered By the Araling Panlipunan and Social Science Teachers in Facilitating the Modular Distance Learning: Basis for the Formulation of Learning and Deve... by Marino Pamogas

“…Mean and standard deviation were the statistical tools used to treat the data. In a nutshell, the result reveals a moderate difficulty encountered by the teacher-respondents in facilitating modular distance learning, with an overall mean of 2.78 and a standard deviation of 0.71. …”
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Paired Sample T-Test on English-Indonesian Translation by EFL Students Before and After Knowing Translation Process by Made Dharma Susena Suyasa

“…The scores of the students’ translations, which served as the data in this study, were then analysed quantitatively. …”
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Comparing AI versus optimization workflows for simulation-based inference of spatial-stochastic systems by Michael Alexander Ramirez Sierra, Thomas R Sokolowski

“…This challenge is particularly pronounced in developmental biology, where faithful mechanistic descriptions require spatial-stochastic models with numerous parameters, yet quantitative empirical data often lack sufficient granularity due to experimental limitations. …”
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Effect of science process skills-based teaching approach on secondary school students’ scientific epistemological beliefs by Million Tadesse, Destaw Damtie, Solomon Melesse Mengistie, Getahun Yemata

“…Two schools with relatively organized laboratories were selected and randomly assigned to experimental and comparison groups, resulting in a sample of 78 students. Data were collected through a questionnaire, interview, and observation and quantitatively analyzed using mean, standard deviation, independent sample t-test, ANCOVA, and qualitatively with narration. …”
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Effect of science process skills-based teaching approach on secondary school students’ scientific epistemological beliefs by Million Tadesse, Destaw Damtie, Solomon Melesse Mengistie, Getahun Yemata

“…Two schools with relatively organized laboratories were selected and randomly assigned to experimental and comparison groups, resulting in a sample of 78 students. Data were collected through a questionnaire, interview, and observation and quantitatively analyzed using mean, standard deviation, independent sample t-test, ANCOVA, and qualitatively with narration. …”
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Design and validation of a CFD model for energy-efficient Ni-Co-Mn cathode calcination process by Jaeseop Jo, Minyoung Hwang, Jungeui Lee, Joo Hyun Park

“…The primary objective is to quantitatively predict and optimize energy consumption in high-temperature solid-state synthesis processes. …”
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Numerical Investigation on Stability of Lanxi’s Ancient City Wall during a Major Flood Propagation Process by Zipeng Qin, Yan Tian, Qian Li, Weizhong He, Xiaohui He, Qingliang Zhu, Jingquan Gao

“…To quantitatively reveal the impact of major floods on the stability of ancient city walls, this paper takes Lanxi’s ancient city wall as a study object and constructs a numerical model to investigate the influence of the major flood process in 2017 on the wall stability and reveals the varying laws of its seepage, displacements, maximal shear stresses and safety factors with flood propagation time on the basis of flood level data, combining indoor experiments and field observations. …”
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Hydrodynamic Processes of Incipient Meander Chute Cutoffs: Laboratory Experiments With Implications for Morphodynamics and Depth‐Averaged Modeling by Jason T.‐Y. Lin, Esteban Lacunza, Roberto Fernández, Marcelo H. García, Bruce Rhoads, Jim Best, Jessica Z. LeRoy, Gary Parker

“…This paper investigates three‐dimensional mean flow structure, turbulent flow structure, and bed shear stress distribution from high‐resolution flow velocity data in a fixed‐bed, sediment‐free physical model. …”
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Understanding the role of pressurized CO2 in the direct recycling process of Li-ion battery positive electrode by Neil Hayagan, Pierre Guillou, Jacob Olchowka, Fatma Ercicek, Carole Lecoutre, Olivier Nguyen, Cyril Aymonier, Samuel Marre, Arnaud Erriguible, Gilles Philippot

“…This study investigates the behavior of CO2 or nitrogen (N2) in mixtures with TEP and acetone at various compositions, using experimental investigations of the ternary system. Experimental data covers four temperatures at 35°C, 70°C, 100°C and 120°C at a constant pressure of 100 bar. …”
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Mixed Methods in Educational Large-Scale Studies: Integrating Qualitative Perspectives into Secondary Data Analysis by Jana Costa

“…In this way, mixed methods can enhance the scope of LSA data analysis, making it more adaptable to complex educational research questions and enriching the overall research process.…”
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The Impact of Big Data on Online Purchase Behavior: Influencing Factors and Interrelationships in Thailand’s Digital Economy by Yarnaphat Shaengchart, Nalinpat Bhumpenpein, Tanpat Kraiwanit, Pongsakorn Limna, Tanatorn Tanantong

“…Utilizing a quantitative approach, data were initially gathered from 760 Thai participants through convenience sampling. …”
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Research on key technologies of safety monitoring data sharing for railway engineering construction based on blockchain by Yuhong LIU, Liang YANG, Chunhui PIAO, Zhiguo ZHANG

“…In order to solve the problems that the monitoring data was easy to be tampered with in the process of railway engineering construction safety monitoring, and the authenticity of the data might be questioned during the accountability of accidents, a blockchain-based railway engineering construction safety monitoring data sharing model was proposed.The characteristics of automatic execution of smart contracts ensured the transparency of the process of monitoring data on the chain.In the PBFT algorithm, there was a problem that the Byzantine nodes and the normal nodes were selected as the master node with the same probability, a reputation-based practical Byzantine fault tolerance algorithm was proposed.Streaming data on the chain might cause network congestion, which simplified the consensus protocol and reduced the time complexity from O(n²) to O(n).A comparative experiment was conducted using Hyperledger Caliper to prove that the delay of the improved algorithm is lower than PBFT algorithm, and the throughput is higher than PBFT algorithm.A quantitative analysis of the possibility of attack and the probability of successful attack was carried out, and it was determined that the smart contract provides tamper-proof modification for the monitoring data on the chain.Comparative analysis proves that the proposed blockchain-based railway engineering construction safety monitoring data sharing model is good than other models in terms of consensus efficiency, TPS and block generation speed.…”
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Research on key technologies of safety monitoring data sharing for railway engineering construction based on blockchain by Yuhong LIU, Liang YANG, Chunhui PIAO, Zhiguo ZHANG

“…In order to solve the problems that the monitoring data was easy to be tampered with in the process of railway engineering construction safety monitoring, and the authenticity of the data might be questioned during the accountability of accidents, a blockchain-based railway engineering construction safety monitoring data sharing model was proposed.The characteristics of automatic execution of smart contracts ensured the transparency of the process of monitoring data on the chain.In the PBFT algorithm, there was a problem that the Byzantine nodes and the normal nodes were selected as the master node with the same probability, a reputation-based practical Byzantine fault tolerance algorithm was proposed.Streaming data on the chain might cause network congestion, which simplified the consensus protocol and reduced the time complexity from O(n²) to O(n).A comparative experiment was conducted using Hyperledger Caliper to prove that the delay of the improved algorithm is lower than PBFT algorithm, and the throughput is higher than PBFT algorithm.A quantitative analysis of the possibility of attack and the probability of successful attack was carried out, and it was determined that the smart contract provides tamper-proof modification for the monitoring data on the chain.Comparative analysis proves that the proposed blockchain-based railway engineering construction safety monitoring data sharing model is good than other models in terms of consensus efficiency, TPS and block generation speed.…”
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Physically Informed Synthetic Data Generation and U-Net Generative Adversarial Network for Palimpsest Reconstruction by Jose L. Salmeron, Eva Fernandez-Palop

“…The synthetic data engine aims to emulate key degradation effects—such as ink bleeding, the irregularity of parchment fibers, and multispectral layer interactions—using stochastic approximations of underlying physical processes. …”
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Temporal multiomics gene expression data of human embryonic stem cell-derived cardiomyocyte differentiation by Abdurrahman Keskin, Hani J. Shayya, Dario Sirabella, Achchhe Patel, Barbara Corneo, Marko Jovanovic

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Data-Driven Customer Retention Strategies in E-Commerce: A Fuzzy Z-Number Approach by Siyin Hu, An Chen

“…This approach enables us to bring in quantitative and qualitative aspects of the decision-making process like the customers’ behavior, their preferences, and demographic data. …”
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Reducing information overload in e-participation: A data-driven prioritization framework for policy-makers by Mathieu Lega, Benito Giunta, Lhorie Pirnay, Anthony Simonofski, Corentin Burnay

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A Data-Driven Approach to Estimating the Impact of Audiovisual Art Events Through Web Presence by Andreas Giannakoulopoulos, Minas Pergantis, Aristeidis Lamprogeorgos, Stella Lampoura

“…This study aims to present how the impact of an audiovisual event may be estimated using quantitative data collected through its online presence. …”
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