Research Progress on Synthetic Method of Curdlan Composite and Its Application in Food Industry by Xingyan WANG, Wenmei HU, Wei XU, Yuting LI, Tinghong MA, Shan CHEN

“…Curdlan-based composite materials constructed using different methods are safe, efficient, and multifunctional food additives, rendering them a hot topic in food research. …”
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Association of transforming growth factor (TGF) p1 T(861-20)C polymorphism with bone mineral density and TGFip gene expression in postmenopausal osteoporosis by Elena Vasilyevna Chetina, M Yu Krylov, N V Demin, O A Nikitinskaya, E A Korotkova, N V Toroptsova, K A Maslova, L I Benevolenskaya, V A Myakotkin

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Comparison of Deep Learning Sentiment Analysis Methods, Including LSTM and Machine Learning by Jean Max T. Habib, A. A. Poguda

“…We present a comparison of several deep learning models, including convolutional neural networks, recurrent neural networks, and long-term and shortterm bidirectional memory, evaluated using different approaches to word integration, including Bidirectional Encoder Representations from Transformers (BERT) and its variants, FastText and Word2Vec. …”
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Global Optical and SAR Image Registration Method Based on Local Distortion Division by Bangjie Li, Dongdong Guan, Yuzhen Xie, Xiaolong Zheng, Zhengsheng Chen, Lefei Pan, Weiheng Zhao, Deliang Xiang

“…Feature descriptors are extracted separately from regions with different distortion levels, and corresponding transformation models are built for local registration. …”
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A robust automated segmentation method for white matter hyperintensity of vascular-origin by Haoying He, Jiu Jiang, Sisi Peng, Chu He, Tianqi Sun, Fan Fan, Hao Song, Dong Sun, Zhipeng Xu, Shenjia Wu, Dongwei Lu, Junjian Zhang

“…Accurate WMH quantification is vital for diagnosis and prognosis, but current automatic segmentation methods often fall short, especially across different datasets. …”
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Harnessing Unsupervised Ensemble Learning for Biomedical Applications: A Review of Methods and Advances by Mehmet Eren Ahsen

“…This review focuses on the principles and recent advancements in ensemble learning, with a particular emphasis on unsupervised ensemble methods. These approaches demonstrate their ability to address critical challenges in bioinformatics, such as the lack of labeled data and the integration of predictions from algorithms operating on different scales. …”
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A Coal Mine Excavation Tunnels Modeling Method Based on Point Clouds by Haoyuan Zhang, Shanjun Mao, Mei Li

“…To address these issues, this paper proposes a point cloud-based excavation tunnel modeling method. First, preprocessing algorithms such as point cloud coordinate transformation, tunnel point cloud extraction, and tunnel point cloud completion are used to filter out equipment point clouds inside the tunnel and repair occluded holes. …”
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Study on the difference of composition between traditional and modern lime used in the restoration of Qufu San Kong Ancient Architectural by Peng Zhao, Hongying Duan, Yunsheng Zhang, Yang Shen, Xinjian Li, Haiyou Shen, Weiwei Zhu, Guojian Liu, Bo Pang

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FAULT DIAGNOSIS METHOD OF DIESEL ENGINE BASED ON PCA-EDT-CNN (MT) by BAI YunJie, JIA XiSheng, LIANG QingHai, MA YunFei, WEN Liang

“…A diesel engine preset failure test bench was built to verify the effectiveness of the method, and through comparison with traditional methods, the results show that the method has high accuracy in diagnosing different fault states of diesel engines and has practical engineering application value.…”
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Evaluation of participation in the case method: elements to consider for its incorporation in digital environments by Andrés Chiappe, Edinson Oswaldo Delgado Rivas, Sandra Idrovo Carlier, Fabiola Mabel Sáez Delgado

“…The transformation of learning assessment processes has become critical for educational institutions that apply the case method, according to international accrediting agencies. …”
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A Registration Method for Historical Maps Based on Self-Supervised Feature Matching by Zikang Qin, Yumin Feng, Gang Wu, Qing Dong, Tianxin Han

“…Comparing historical map images of the same region from different periods is an effective method for studying urban history and planning. …”
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THE METHOD OF ADAPTIVE STATISTICAL CODING TAKING INTO ACCOUNT THE STRUCTURAL FEATURES OF VIDEO IMAGES by Volodymyr Barannik, Dmytro Havrylov, Serhii Pantas, Yurii Tsimura, Tatayna Belikova, Rimma Viedienieva, Vasyl Kryshtal

“…The differences of the method consist in carrying out vector intertransformation zig-zag linearization taking into account the selection of spectral components defined as complementary. …”
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TockyPrep: data preprocessing methods for flow cytometric fluorescent timer analysis by Masahiro Ono

“…Our aim is to standardize Timer data analysis to enhance reproducibility and accuracy across different experimental setups. The package includes a trigonometric transformation method to elucidate the dynamics of Fluorescent Timer proteins. …”
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An Improved Test Method for Assaying the Inhibition of Bioflavonoids on Xanthine Oxidase Activity in vitro by Yuanyong Yao, Tao Wu, Meng Zhang, Daihua Fu, Hai Yang, Shixue Chen

“…Abstract The difference on inhibitory effects of bioflavonoids inhibiting XOD activity assayed by varying test methods cause of us to be further in consideration. …”
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Estimating electricity consumption at city-level through advanced machine learning methods by Arpad Gellert, Lorena-Maria Olaru, Adrian Florea, Ileana-Ioana Cofaru, Ugo Fiore, Francesco Palmieri

“…This paper analyses different methods for the estimation of electricity consumption at the level of an urban area. …”
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Unsignalized intersection vehicle platoon formation scheduling method based on mixed traffic by Junfeng Jiang, Yikang Rui, Bin Ran

“…The results show that MPSM possesses good delay performance and has an advantage over Adaptive Signal Control Method (Adaptive-SIM), FCFS, and DFST algorithms, which can be applied in different traffic environments.…”
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Recent Advances in High-Entropy Ceramics: Synthesis Methods, Properties, and Emerging Applications by Piyush Chandra Verma, Sunil Kumar Tiwari, Ashish Saurabh, Abhinav Manoj

“…High-entropy ceramics (HECs) represent an emerging class of materials composed of at least five different cations or anions in near-equiatomic proportions, garnering significant attention due to their extraordinary functional and structural properties. …”
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Sensor Fusion Method for Object Detection and Distance Estimation in Assisted Driving Applications by Stefano Favelli, Meng Xie, Andrea Tonoli

“…The open-source pipeline implemented in ROS consists of a sensors’ calibration method, a Yolov7 detector, 3D point cloud downsampling and clustering, and finally a 3D-to-2D transformation between the reference frames. …”
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Analytical method for analyzing message transmission processes in FDDI networks for digital substations by A. S. Leontyev, D. V. Zhmatov

“…The authors used theory reliability methods, random process theory, mass maintenance theory, the Laplace–Stieltjes transformation for inferring functional equations and the probability-time characteristics calculation for the information transfer processes with the occurring failures.Results. …”
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Measurement and Real Time Analysis of Local Damage in Wear-and-Fatigue Tests by S. S. Sherbakov

“…When developing a software module for smoothing a large amount of experimental data from the test center, various methods of time series smoothing were used: moving average; exponential moving average; wavelet transform and moving average applied to the differences of the wavelet coefficients; wavelet transform and exponential moving average applied to the difference of the wavelet coefficients.The results of numerical simulation showed that the best approximation to the original series was provided by the wavelet transform using an exponential moving average to smooth the differences between the coefficients of the wavelet transform.The use of a software module based on this model in SZ-01 center allowed smoothing the time series characterizing the change of roller and shaft axes approach and torque.…”
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