The Key Construction Technology Research on the Intercontinental Shanghai Wonderland by Peng Jiang, Shaole Yu, Wei Luan, Xinxi Chen, Yang Qin, Zhongfu Li

“…The Intercontinental Shanghai Wonderland is the first natural ecological hotel built in an abandoned mine in the world, which faces many difficulties in the construction process. To solve the difficult problems in the construction process, the study was carried out from the stability analysis of the deep pit cliff, the mechanical performance of the structure, and the construction technology. …”
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Cell-derived biomimetic drug delivery system for inflammatory bowel disease therapy by Wenjing Yang, Peihong Lin, Rui Gao, Zhengyu Fang, Zhouru Wang, Zhen Ma, Jing Shi, Wenying Yu

“…However, traditional synthetic nanomaterials still have some problems in the IBD drug delivery process, such as weak targeting ability of vectors, difficulty escaping immune surveillance, and poor biosecurity. …”
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Trends and Applications of Computed Tomography in Agricultural Non-Destructive Testing by Qi Wang, Hui Xue, Jerome Jeyakumar John Martin, Mingming Hou, Hongxing Cao, Zhiguo Dong, Jianshe Li, Chengxu Sun

“…With the advantages of non-destructiveness, high resolution, and high precision, CT technology shows great application potential in the agricultural field. However, there are still some problems with this technology that need to be solved. …”
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Neural network analysis of some molecular parameters of the cervical epithelium for cervical cancer diagnostics by E. V. Kayukova, V. A. Mudrov, L. F. Sholochov

“…The neural network data analysis allows to solve these problems.Objective: to create a technology for diagnosing cervical intraepithelial neoplasia (CIN) and CC, based on a neural network analysis of some molecular parameters.Materials and methods. …”
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Real-Time Evaluation of the Signal Processing of sEMG Used in Limb Exoskeleton Rehabilitation System by Baofeng Gao, Chao Wei, Hongdao Ma, Shu Yang, Xu Ma, Songyuan Zhang

“…Based on an sEMG real-time training system for rehabilitation, the exoskeleton robot still has some problems that need to be solved in this field. …”
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Building a Computer Vocational Guidance System for Graduates of Secondary Educational Institutions Based on a Genetic Algorithm by A. P. Sergushicheva, E. N. Davydova

“…Genetic algorithms are widely used to solve search and optimization problems in various subject areas. …”
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Multispectral image fusion method based on edge chromatic aberration by Y. Shi, D. Qiu, R. Wu, R. Wu, W. Niu, Z. Wang

“…Multispectral image fusion aims to preserve surface details and spectral data. In order to solve the problems of edge distortion and spectral loss in image fusion, this paper proposes a multispectral and hyperspectral fusion method based on edge chromatic aberration. …”
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Application of high-throughput sequencing in citrus virus identification and analysis of population diversity by LI Xiang, YANG Jin, HUANG Aijun, ZHOU Jun, YI Long

“…With the emergence of high-throughput sequencing (HTS) technology in recent years, the above problems have been solved. This technology uses the principle of sequencing by synthesis, which can sequence a large number of RNA and DNA molecules in a short time without prior knowledge of the virus's biological characteristics or genome structure, thus obtaining its nearly complete genomic sequence. …”
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Potential Applications of Rare Earth Metal Nanoparticles in Biomedicine by Svetlana A. Titova, Maria P. Kruglova, Victor A. Stupin, Natalia E. Manturova, Ekaterina V. Silina

“…These applications are determined both by the properties of rare earth metal nanoparticles themselves and the need to search for new approaches to solve a number of urgent biomedical and public health problems. …”
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Control of Wastewater Treatment Processes Using a Fuzzy Logic Approach by Jaloliddin Eshbobaev, Adham Norkobilov, Komil Usmanov, Bakhodir Khamidov, Orifjon Kodirov, Toshtemir Avezov

“…In order to solve the problems mentioned above, it is also very important to develop a control system method suitable for the water treatment process. …”
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Subcortical Brain Segmentation Based on a Novel Discriminative Dictionary Learning Method and Sparse Coding by Xiang Li, Ying Wei, Yunlong Zhou, Bin Hong

“…The optimization algorithms are developed to solve the problems in the learning step. Under the multi-atlas patch-based segmentation framework, the whole learned dictionary then can be used for labeling the target image. …”
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Research on Wellbore Trajectory Prediction Based on a Pi-GRU Model by Hanlin Liu, Yule Hu, Zhenkun Wu

“…However, traditional mechanical analysis methods have high computational complexity, and the existing data-driven models cannot fully integrate non-sequential features such as stratum lithology. To solve these problems, this study proposes a parallel input gated recurrent unit (Pi-GRU) model based on the TensorFlow framework. …”
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Application of Three-Phase Linearized Power Flow and Line Loss Analysis of Distribution Network Driven by Data and Physics Fusion by Huaitian MU, Hongliang LIAN, Juan LIU, Yanqiong LI

“…Moreover, because the grid-connected distributed generation changes the power flow direction of the system, the traditional theoretical line loss calculation methods such as the equivalent resistance method and the pressure drop method are no longer applicable. In order to solve the above problems, this paper proposed a smoothing model considering on-load tap changer regulation and distributed generation droop control and constructed a fast calculation model of linearized theoretical line loss of a three-phase distribution network driven by data and physics fusion. …”
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Generative artificial intelligence in cardiovascular specialty care: a scoping review by Xinglin Zheng, Huina Zou, Linjing Wu, Peihuang Dong, Wenhui Yuan, Yuan Chen

“…There is an urgent need to solve the existing problems to promote its in-depth application in this field, and it is suggested that future research focuses on the construction of specialized multimodal models.…”
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Multimodal Analysis of Augmented Reality in Basic Programming Course: Innovation Learning in Modern Classes by Rizky Ema Wulansari, Rizki Hardian Sakti, Hasep Saputra, Agariadne Dwinggo Samala, Rifyal Novalia, Hla Myo Tun

“… The purpose of this research was to examine the effectiveness of Augmented Reality when implemented as a modern approach in a basic programming course, to solve problems in learning abstract concepts of programming. …”
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Presidential elections'97: attitudes and intentions of the electorate by Rasa Ališauskienė

“…Ideological orientation (left-right) still has the major impact on the overall evaluation of social change and processes in the country. …”
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E-Commerce Enterprise Supply Chain Cost Control under the Background of Big Data by Haijun Mao, Long Chen

“…This study concluded that the use of big data technology for cost command can solve a series of problems effectively, such as the lack of systematic analysis of cost, the lack of contractual partners, the serious waste of sales links, and the policy errors of logistics links, and continuously improve the enterprise management level and the decline of comprehensive cost. …”
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Influence of artificial intelligence on higher education reform and talent cultivation in the digital intelligence era by Limin Qian, Weiran Cao, Lifeng Chen

“…Abstract In order to solve the problems of inefficient allocation of teaching resources and inaccurate recommendation of learning paths in higher education, this paper proposes a smart education optimization model (SEOM) by combining the improved random forest algorithm (RFA) based on adaptive enhancement mechanism and the Graph Neural Network (GNN) algorithm. …”
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MTAF–DTA: multi-type attention fusion network for drug–target affinity prediction by Jinghong Sun, Han Wang, Jia Mi, Jing Wan, Jingyang Gao

“…Results We propose MTAF–DTA, a method for drug–target binding affinity prediction to solve the above problems. The drug representation module extracts three modalities of features from drugs and uses an attention mechanism to update their respective contribution weights. …”
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COMPARATIVE ANALYSIS OF CLASSIFICATION MODELS FOR DETERMINING THE QUALITY OF WINE BY ITS CHEMICAL COMPOSITION by Vladimir S. Repkin, Artemy V. Li, Grigory Yu. Semenov, Nikita I. Sermavkin, Alexander S. Kovalenko, Nikolai S. Egoshin

“…The relevance of the research is caused by the need to solve problems associated with counterfeit and low-quality products in the wine industry. …”
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