Development of Durian Rind/Polypyrrole Composite and Its Application in Removing of Anionic Dyes by Yan Wang, Zijing Dai, Jiaqi Zha, Wenqing Wei

“…The adsorptive kinetics and thermodynamic process were analyzed subsequently. The adsorption of anionic dyes on DR/PPy conforms to the pseudo-second-order kinetic and Langmuir isotherm models with maximum adsorption capacity (qm,max) of 193.05, 171.23, and 147.71 mg g-1 for methyl orange, sunset yellow, and amaranth, respectively. …”
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Data-Driven-Based Attribution of Runoff Changes in Tuwei River Basin in the Northern Windy-Sandy Region of Shaanxi by YU Huanghao, LI Binquan

“…The key point in analyzing the attribution of runoff changes is whether the natural runoff process of the basin can be accurately simulated.However,the application accuracy of hydrological models in arid and semi-arid regions of the Loess Plateau is generally not high.Taking the Tuwei River basin in the northern windy-sandy region of Shaanxi in the middle reach of the Yellow River as an example,this paper proposed an improved natural runoff simulation method based on the data-driven approach,so as to quantitatively analyze the effects of climate changes and human activities on runoff changes in the Tuwei River basin.The results show that the annual runoff series in the basin decreased significantly from 1961 to 2015,and there were two abrupt changes in 1979 and 1996,respectively.The annual runoff of the two periods (1980—1996 and 1997—2015) is 25.8% and 47.1% lower than that of the natural period (1961—1979),respectively.The runoff simulation accuracy of the three data-driven methods after improvement rises significantly.Specifically,the improved method proposed by Zhao Wenlin has the highest accuracy,and the Nash-Sutcliffe efficiency coefficient of annual runoff simulation in the natural period is 0.77.Climate change is the main reason for the significant decrease in the runoff between 1980 and 1996 (with a contribution of up to 80.9%).However,from 1997 to 2015,the contribution of climate change and human activities to the decrease in the runoff changed,with the influence of human activities increasing to a proportion of 58.8%.…”
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Evaluation of source rocks and prediction of oil and gas resources distribution in Baiyun Sag, Pearl River Mouth Basin, China by Yangdong GAO, Weilin ZHU, Guangrong PENG, Zulie LONG, Xudong WANG, Chuang SHI, Cong CHEN, Yuping HUANG, Bo ZHANG

“…The main body of ancient basal heat flow value reached its highest at 13.82 Ma. The basin modelling results show that the maturity of source rocks is significantly higher in Baiyun main sub-sag than that in other sub-sags. …”
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Design reflections on the integrated development of rural cultural and ecological resources in China by Lisi You, Meijun Liu, Tie Ji, Xiaojing Wu, Ying Li

“…These models show how rural communities may reach ecological sustainability, protect cultural legacy, and improve economic systems. …”
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BioCurve Analyzer: a web-based shiny app for analyzing biological response curves by Zenan Xing, James Eckhardt, Aditya S. Vaidya, Sean R. Cutler

“…The features of these curves can be elucidated through parameters such as ED50 (the effective dose that gives 50% of the maximum response) and T50 (the time required to reach 50% of the maximum response). Properly estimating these parameters is crucial for inferring the potency of compounds or the relative timings of biological processes. …”
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An analysis of mathematics textbook of Indonesian curriculum based on functional thinking framework by Nadya Syifa Utami, Sufyani Prabawanto, Jarnawi Afgani Dahlan

“…Functional thinking (FT) is individual’s cognitive process to identify the relation between variables and is essential for students to learn algebra. …”
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Advancing Sustainable Engineering Practices: An Extension of MOA Theory on Consumer Intentions to Adopt Sustainable and Green Building Materials by Rajendra Puttamanjaiah, Mohanasundaram Thangamuthu

“…Combining an extra concept, ‘attitude’, taken from the Theory of Reasoned Action (TRA), with an enlarged Motivation-Opportunity-Ability (MOA) framework helps to grasp customer motivation in the adoption process. The study utilised a structured online survey to reach potential consumers of STAGBM who are involved in residential construction. …”
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Generating Human-Interpretable Rules from Convolutional Neural Networks by Russel Pears, Ashwini Kumar Sharma

“…Unfortunately to reach this level of success, the models that CNNs use are essentially black box in nature, with little or no human-interpretable information on the decision-making process. …”
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Improvement of mechanical properties of biomimetic‐layered Si3N4 ceramics with TiN as the interface layer by Xinghua Shen, Tongyang Li, Lizhi Zhang, Lujie Wang, Yuan Yu, Huaguo Tang, Zhuhui Qiao

“…The fracture toughness and flexural strength were improved by the layered ceramics modeled after the micro‐nano structure was regulated by the nacre, the toughness can reach to 17.04 ± 1.32 MPa·m1/2. …”
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Structural Properties of Wire-Mesh-Reinforced Straw Concrete Sandwich Panels for Sustainable Construction by Guoliang Guo, Chun Lv, Jie Liu, Yu Zhang

“…The ultimate bearing capacity of SCSP reaches 10.9 kN·m, and the maximum crack width can reach 3~4 mm. …”
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Cross-Feature Hybrid Associative Priori Network for Pulsar Candidate Screening by Wei Luo, Xiaoyao Xie, Jiatao Jiang, Linyong Zhou, Zhijun Hu

“…CFHAPNet incorporates a novel architecture and strategies to integrate multi-class heterogeneous feature subimages from each candidate into multi-channel data processing. By implementing cross-attention mechanisms and other enhancements for multi-view feature interactions, the model significantly strengthens its ability to capture fine-grained image texture details and weak prior semantic information. …”
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Accounting and Evolution of Global Spatial Explicit Blue and Green Water Footprint of Maize Production With Fewer Inputs by Yilin Liu, La Zhuo, Xiangxiang Ji, Pengcheng Tian, Rong Gao, Pute Wu

“…This study constructs a model for crop blue‐green water footprint (WF) with interpretability of physical processes. …”
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To Be or Not to Be? 教職召喚與專業認同對藝術大學師資生生涯決策自我效能、結果期待及生涯希望感的調節效果分析 To Be or Not to Be? An Analysis of the Moderating Effects of Teaching Calling and Professional Identity on Career De... by 陳嘉成 Chia-Cheng Chen, 洪兆祥 Chao-Hsiang Hung, 鄧鈞文 Chun-Wen Teng, 劉孟芳 Meng-Fang Liu

“…Moderation Effects: The study tested two moderation models: -Model A: Teaching calling moderates the effect of career self-efficacy on outcome expectations. …”
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A Novel Dynamical Framework for Crop Phenology Estimation With Remote Sensing by Lucio Mascolo, Tomas Martinez-Marin, Juan M. Lopez-Sanchez

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Surface Charge and Electric Field Distribution of Direct-Current Gas-Insulated Transmission Lines’ Basin-Type Insulators Under Multi-Field Coupling by Junran Jia, Xin Lin, Zhenxin Geng, Jianyuan Xu

“…In direct-current gas-insulated transmission lines (DC GIL), complex heat transfer processes accelerate surface charge accumulation on insulators, causing local electric field distortion and elevating the risk of surface flashover. …”
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On specifics of hardening mechanisms in metallic matrix composition" by M. N. Safonova, E. A. Arkhangelskaya, A. A. Fedotov

“…An assumption has been made that the considered hardening model (Orowan model) does not take into account the formation of carbon and the agglomeration of diamonds into larger objects in the matrix volume under an increase in the number of input diamonds. …”
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High resolution weld semantic defect detection algorithm based on integrated double U structure by Xiaoyan Li, Yi Wei, Zhigang Lv, Peng Wang, Liangliang Li, Mengyu Sun, Chu Wang

“…The experimental results showed that the model could effectively segment the defects such as cracks, pores, slag inclusion, incomplete fusion and incomplete penetration in the weld film, and the mIOU value reached 78.1, which was significantly superior to the existing methods, and provided an efficient and reliable solution for welding defect detection of pressure vessels, which had important engineering application value.…”
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Underground personnel recognition based on low-light enhancement of infrared and visible light image fusion by NAN Jingjing, PAN Hongguang, JIANG Ze, ZHANG Libin, ZHANG Huipeng

“…To address the above issues, a model for underground personnel recognition based on low-light enhancement of infrared and visible light image fusion was proposed. …”
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FCN-PD: An Advanced Deep Learning Framework for Parkinson’s Disease Diagnosis Using MRI Data by Manal Alrawis, Farah Mohammad, Saad Al-Ahmadi, Jalal Al-Muhtadi

“…On the PPMI dataset, it achieved an accuracy of 97.2%, outperforming traditional CNN-based models by 5.3%. On the OASIS dataset, the model achieved 95.6% accuracy, and on the MIRIAD dataset, it reached 96.8% accuracy. …”
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Amplification of Plunging Flows in Bedrock Canyons by Max Hurson, Jeremy G. Venditti, Colin D. Rennie, Eva Kwoll, Kirsti Fairweather, Dan R. W. Haught, Kyle M. Kusack, Michael Church

“…Flood‐discharge plunging flows contact the bed and maintain high velocities farther through the CPW structure, and evacuate large volumes of sediment from the pools. These reach‐scale processes are not represented in large‐scale landscape evolution models, yet these erosion mechanisms set the pace of landscape evolution, begging for a re‐evaluation of process representation in landscape evolution models.…”
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