基于速度图解法的双行星式齿轮机构传动方案的优化分析 by 张玉书, 刘臣富

“…The method of using special form instead of general form for the analysis of dual planetary gear mechanism is proposed in order to utilize the velocity graphic method effectively.The process of using velocity graphic method to analyze the transmission scheme of dual planetary gear mechanism is optimized through drawing the linear velocity vectors of the constant velocity point,and the calculation of transmission ratio is predigested.The correctness and universalism of the optimization method is verified by the transmission ratio calculated by comparing the velocity graphic method with analytic method.…”
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Vertical distribution and variability of soil organic carbon and CaCO3 in deep Colluvisols modeled by hyperspectral imaging by Jessica Reyes-Rojas, Julien Guigue, Daniel Žížala, Vít Penížek, Tomáš Hrdlička, Petra Vokurková, Aleš Vaněk, Tereza Zádorová

“…The study showed that imaging spectroscopy is a suitable tool to capture the detailed pattern of the colluvial matrix and, with appropriate sampling and processing, is applicable even in very deep soil profiles.…”
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Scientific objectives of research on road machines life cycle in modern conditions by S. A. Evtiukov, S. V. Repin, S. M. Grushetskii, G. A. Kаrro

“…In the course of the study, a vector was determined for the further development of such a scientific direction as the study of the life cycle system of the road machines in modern conditions. …”
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Concrete Dam Deformation Prediction Model Based on Attention Mechanism and Deep Learning by ZHANG Hongrui, CAO Xin, JIANG Chao, ZU Anjun, XU Mingxiang

“…Machine learning models such as random forest, support vector regression, and extreme learning machine (ELM) extend statistical approaches but still lack the ability to establish temporal dependencies due to their static input-output mapping relationships. …”
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Culture et changement urbain dans les Quartiers Sud de Buenos Aires (Argentine) : des arènes ambiguës by Barbara Morovich

“…This work focuses on the liveliness of these arenas, the patience of their actors, their resistance, their ability to slow down the process of gentrification, through long-term challenges. …”
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Geographic Named Entity Matching and Evaluation Recommendation Using Multi-Objective Tasks: A Study Integrating a Large Language Model (LLM) and Retrieval-Augmented Generation (RAG... by Jiajun Zhang, Junjie Fang, Chengkun Zhang, Wei Zhang, Huanbing Ren, Liuchang Xu

“…To further mimic the human cognitive process during address search, it incorporates the Retrieval-Augmented Generation (RAG) technique. …”
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Wildlife law and policy by S. Bertouille

“…The various aspects of the processes described above were highlighted in the plenary talk and the five oral communications presented during the session on wildlife law and policy. …”
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Entropy-extreme concept of data gaps filling in a small-sized collection by Viacheslav Kovtun, Krzysztof Grochla, Mohammed Al-Maitah, Saad Aldosary, Oleksii Kozachko

“…Annotation: The article investigates the process of filling data gaps in a small-sized collection, which generalizes information about periodic measurement of input and output parameters of a target object. …”
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Skin hyperspectral imaging and machine learning to accurately predict the muscular poly-unsaturated fatty acids contents in fish by Yi-Ming Cao, Yan Zhang, Qi Wang, Ran Zhao, Mingxi Hou, Shuang-Ting Yu, Kai-Kuo Wang, Ying-Jie Chen, Xiao-Qing Sun, Shijing Liu, Jiong-Tang Li

“…With the skin spectra of fish, five ML methods, including the extreme learning machine (ELM), random forest (RF), radial basis function (RBF), back propagation (BP), and least squares support vector machine (LS-SVM) methods, were used to predict the PUFAs and EPA + DHA contents. …”
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Alternative therapeutic approaches for combating multi-drug-resistant bacteria: Reverse vaccinology against Enterobacter cloacae by Gabriela Guerrera Soares, Marcelo Silva Folhas Damas, Pedro Mendes Laprega, Rebecca Elizabeth Shilling, Eduarda Oliva Ribeiro Rangel, Louise Teixeira Cerdeira, Murillo Rodrigo Petrucelli Homem, André Pitondo-Silva, Andrea Soares da Costa-Fuentes, Maria-Cristina da Silva Pranchevicius

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Nonlinear Compensation of the Linear Variable Differential Transducer Using an Advanced Snake Optimization Integrated with Tangential Functional Link Artificial Neural Network by Qiuxia Fan, Xinqi Zhang, Zhuang Wen, Lei Xu, Qianqian Zhang

“…Then, the collected input and output data are fed into the ASO-TFLANN model to determine the optimal weight vectors of the tangential functional link Artificial Neural Network (TFLANN). …”
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Practicing Fashion with the Anthropocene by Patricia Wu Wu

“…In the story, Odradek sends semiotic ripples into the vectors of a future, where its reverberations spread into an ontologically withdrawn world, inaccessible to human thought. …”
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Co-designing AI with youth partners: Enabling ideal classroom relationships through a novel AI relational privacy ethical framework by Michael Alan Chang, Mike Tissenbaum, Thomas M. Philip, Sidney K. D’Mello

“…In recent years, the design of AI-based tools for educational spaces have been largely driven by researchers who impart their past expertises, experiences, and perspectives in the design process. While this typically leads to technically feasible designs and are often well-grounded in theories of learning, youth agency is typically limited in this process. …”
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InSAR-aided mapping and zonation of deep-seated gravitational slope deformation (DSGSD) in slate slopes by Cheng-Han Lin, Ming-Lang Lin

“…Deep-seated gravitational slope deformation (DSGSD) is a rock mass wasting process featuring a slow movement rate at the mountain scale. …”
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State and Trends of Development of Territorial Differentiation of Modern Labour Force by S. I. Rosenko, D. N. Verzilin, V. V. Pyzh

“…This process has led to changes in the industrial, professional, property and gender parameters of the urban and rural labour market.Conclusion. …”
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Comparative analysis of corpus callosum lipidome and transcriptome in schizophrenia and healthy brain by Maria S. Osetrova, Olga I. Efimova, Marina D. Zavolskova, Elena A. Stekolschikova, Gleb N. Vladimirov, Dmitry A. Senko, Tatiana A. Zhuravleva, Anna Y. Morozova, Yana A. Zorkina, Denis S. Andreyuk, George P. Kostyuk, Evgeniy N. Nikolaev, Philipp E. Khaitovich

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Dinâmicas Territoriais na Zona Costeira do Estado do Pará, Amazônia Brasileira by Gilberto de Miranda Rocha, Daniel Araújo Sombra Soares, Sérgio Cardoso de Moraes

“…The objective of this work is to understand the spatial structures, the territorial dynamics and the vectors of development of the coastal area of Para.…”
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Assessment of Tumor Infiltrating Lymphocytes in Predicting Stereotactic Ablative Radiotherapy (SABR) Response in Unresectable Breast Cancer by Mateusz Bielecki, Khadijeh Saednia, Fang-I Lu, Shely Kagan, Danny Vesprini, Katarzyna J. Jerzak, Roberto Salgado, Raffi Karshafian, William T. Tran

“…Whole slide images (WSIs) were pre-processed, and then a pre-trained convolutional neural network model (CNN) was employed to identify the regions of interest. …”
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New Maps of Lunar Surface Oxide Abundances and Mg# Using an Optimized Ensemble Learning Algorithm by Chaofa Bian, Kefei Zhang, Yunzhao Wu, Suqin Wu, Yu Lu, Yabo Duan, Huajing Wu, Zhenxing Zhao, Wei Wu

“…Among the models tested, the SXL algorithm (stacking of support vector machine regression, extreme gradient boosting, and linear regression), which was selected from a stack of 2 or 3 out of six typical algorithms, achieved the highest inversion accuracy. …”
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Evaluating Sugarcane Yield Estimation in Thailand Using Multi-Temporal Sentinel-2 and Landsat Data Together with Machine-Learning Algorithms by Jaturong Som-ard, Savittri Ratanopad Suwanlee, Dusadee Pinasu, Surasak Keawsomsee, Kemin Kasa, Nattawut Seesanhao, Sarawut Ninsawat, Enrico Borgogno-Mondino, Filippo Sarvia

“…In this work, the different yield rates at the field level were highlighted, providing a powerful workflow for mapping sugarcane yields across large regions, supporting sugarcane crop management and facilitating decision-making processes.…”
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