Multi-source Data-driven Analysis of Deformation and Influencing Factors for Expansive Soil Canal Slopes by ZHANG Yuhan, HU Jiang, LI Xing

“…The SENN model autonomously extracts critical features and dynamically assigns weights to each factor, thereby predicting cumulative displacements along both the satellite Line-of-Sight (LOS) direction and the inclinometer A-direction. …”
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Predicting the risk of lymph node metastasis in colon cancer: development and validation of an online dynamic nomogram based on multiple preoperative data by Longlian Deng, Lemuge Che, Haibin Sun, Riletu En, Bowen Ha, Tao Liu, Tengqi Wang, Qiang Xu

“…The online dynamic nomogram model constructed by independent factors has good discrimination and consistency. …”
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Development and application of the 3-PGCj model for predicting stand growth of Japanese cedar (Cryptomeria japonica) plantations by Hung-En Li, Ching-Chu Tsai, Kai-Chih Yin, Yen-Jen Lai, Su-Ting Cheng

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Integrating Reinforcement Learning into M/M/1/K Retry Queueing Models for 6G Applications by Djamila Talbi, Zoltan Gal

“…The ever-growing demand for sustainable, efficient, and fair allocation in the next generation of wireless network applications is a serious challenge, especially in the context of high-speed communication networks that operate on Terahertz frequencies. …”
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Application of machine learning algorithms and SHAP explanations to predict fertility preference among reproductive women in Somalia by Jamilu Sani, Salad Halane, Abdiwali Mohamed Ahmed, Mohamed Mustaf Ahmed

“…Predictor variables included sociodemographic factors, such as age, education, parity, wealth, residence, and distance to health facilities. …”
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Tropospheric NO₂: Anthropogenic Influence, Global Trends, Satellite Data, and Machine Learning Application by Valeria Ojeda-Castillo, Mario Alfonso Murillo-Tovar, Leonel Hernández-Mena, Hugo Saldarriaga-Noreña, María Elena Vargas-Amado, Enrique J. Herrera-López, Jesús Díaz

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Impact of Reduced Chemical Fertilizer and Organic Amendments on Yield, Nitrogen Use Efficiency, and Soil Microbial Dynamics in Chinese Flowering Cabbage by Jiaxin Xu, Jianshe Li, Xia Zhao, Zhen Liu, Hao Xu, Kai Cao, Lin Ye

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Financial Dynamics of Cooperatives of the Popular and Solidarity Economy of Ecuador: An Analysis Using the Tucker3 Model and Projection with Multidimensional Neutrosophic Regressio... by Gabriela Valeria Bustos–Chiliquinga, Purificación Galindo-Villardón, Cristian Cornejo Gaete

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A symbiosis theory-based strategic framework for rural landscape assessment: a case study utilizing AHP and system dynamics by Xiaomei Xiao, Ji’an Zhuang, Mo Wang, Lie Wang

“…However, areas such as landscape dynamism and functional diversity require significant improvement. …”
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Influencing factors and optimization measures for longitudinal impulse of 20 000-tonne combined heavy-haul trains by MA Ruijie, WU Jian

“…Based on the analysis of operation test data of several 20 000-tonne heavy haul combined trains on Shuohuang railway line, the specific reasons and influencing factors causing excessive longitudinal impulse of 20 000-tone trains were obtained, mainly including large dynamic braking force adopted by the trains during air-braking release and the improper selection of air-braking release location on the long downhill grade line, as well as the operation process of the trains on the transition section between large and small downhill, etc. …”
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Study on dynamic elastic modulus and microstructure of cemented soil modified by Nano-Al2O3 in seawater corrosive environments by Xinshan Zhuang, Zhuona Chen, Benchi Yang

“…Abstract Foundations of coastal engineering are susceptible to seawater corrosion and dynamic loads such as waves and earthquakes. These adverse factors can degrade cemented soil foundations, potentially compromising structural stability and safety. …”
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Driving mechanism of multiple policy combinations on photovoltaic industry-economy-environment synergy optimization: Simulation analysis based on system dynamics by LI Jing, WANG Nan, LI Wei, ZHANG Xingya

“…[Methods] Based on multiple factors such as economic benefits and costs, environmental impacts, and policy formulation throughout the whole life cycle, a system dynamics model for high-quality PV industry development was established. …”
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Dynamic changes in serum adenosine and the adenosine metabolism-based signature for prognosis in HER2-positive metastatic breast cancer patients by Lijun Wang, Yizhi Ge, Li Yin, Dan Zong, Yang Li, Jianfeng Wu, Xia He

“…The adenosine metabolism-based signature has the potential application in the prognosis of HER2-positive MBC patients.…”
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Análisis dinámico en el remo de banco fijo: la trainera (Dynamic analysis on the fixed seat rowing: trainera) by Héctor Lorenzo Buceta, Sergio Pérez Treus, José Luís García Soidán, Víctor Arufe Giraldez, Xavier Alfonso Cornes, Alexandre Alfonso Cornes

“…The accelerometer is based on the ability to objectively quantify technical variables, mechanical and biomechanical factors. The purpose of this research study is to analyze the dynamic components of strength, power, acceleration acting on the set of the boat and rowers in testing trainera, in order to determine the requirements of the competition. …”
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Dynamic Traffic Engineering for Cooperative Fog-Cloud Environment: Trade-off Analysis of Cost and Utilization Under Different Load Conditions by Md. Rahinur Rahman, Mirza Mohd Shahriar Maswood

“…The key contributions include the formulation of an optimization model that optimizes resource allocation, addresses blocking factors in fog networks, and offers valuable insights for managing dynamic traffic in fog computing networks.…”
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Optimizing Electric Vehicle Routing Efficiency Using K-Means Clustering and Genetic Algorithms by Tal Gaon, Yovel Gabay, Miri Weiss Cohen

“…This study presents a novel approach that combines K-means clustering and GA optimization to create dynamic, real-world applicable routing solutions. …”
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Optimization of Anti-Scour Device Combined with Perforated Baffle and Ring-Wing Plate Based on a Multi-Factor Orthogonal Experiment by Yan Wang, Rongjun Liao, Pei Yuan, Jinchao Chen

“…Based on computational fluid dynamics (CFD), the orthogonal experiments investigated the general laws of the influence of the main factors, such as the ratio of baffle perforated, the position of baffle, and the height of ring-wing plate on the anti-scour effect. …”
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Geometrical Variable Weights Buffer GM(1,1) Model and Its Application in Forecasting of China’s Energy Consumption by Wei Li, Han Xie

“…The proposed model integrates the variable weights buffer operator with the background value optimized GM(1,1) model to implement dynamic preprocessing of original data. Taking the maximum degree of Grey incidence between fitting value and actual value as objective function, then the optimal buffer factor is chosen, which can improve forecasting precision, make forecasting results embodying the internal trend of original data to the maximum extent, and improve the stability of the prediction. …”
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From drivers to technology empowerment: Decoding the influencing factors of Yellow River tourists' pro-environmental behaviors by Dai Ruirui, Yue Guiling, Zhu He

“…The study identified six core influencing factors and constructed a theoretical model of “two-wheel drive” co-evolution, and the main findings are as follows: (1) Construct a five-dimensional tourism environmental behavior system (TEBS), in which individual intrinsic (psychological cognition and emotional connection), social context (group norms and cultural guidance), environmental design (spatial function and ecological perception), institutional policy (incentive and constraint and governance effectiveness), and special situation (crisis event and spatio-temporal limitation) constitute the basic dimensions; Special situations are included in the system as an independent dimension, which fully meets the needs of economic and social transformation in the new era. (2) Innovatively reveal the intermediary mechanism of technology empowerment: on the one hand, TEBS provides channels and space for technology empowerment through the construction of digital infrastructure and the expansion of intelligent technology application scenarios (thrust effect); On the other hand, the iterative upgrading of reverse driving technologies such as tourists' environmental behavior data feedback and intelligent management needs (pulling effect) has formed a closed-loop system of dynamic adaptation of “demand-supply”. …”
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Molecular dynamics study of tribological properties of AlCoCrFeNi high entropy alloy coatings on Al substrate by Xianhe Zhang, Zhenrong Yang, Hongyun Wang, Cun Zhang, Xiaofei Wang

“…This study utilizes molecular dynamics methods to perform a comprehensive investigation and meticulous analysis of the wear resistance of FeNiCrCoAl high entropy alloys, with the goal of providing crucial theoretical support for their practical applications. …”
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