Analysis of Short Texts Using Intelligent Clustering Methods by Jamalbek Tussupov, Akmaral Kassymova, Ayagoz Mukhanova, Assyl Bissengaliyeva, Zhanar Azhibekova, Moldir Yessenova, Zhanargul Abuova

“…This article presents a comprehensive review of short text clustering using state-of-the-art methods: Bidirectional Encoder Representations from Transformers (BERT), Term Frequency-Inverse Document Frequency (TF-IDF), and the novel hybrid method Latent Dirichlet Allocation + BERT + Autoencoder (LDA + BERT + AE). …”
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Entropy difference-based EEG channel selection technique for automated detection of ADHD. by Shishir Maheshwari, Kandala N V P S Rajesh, Vivek Kanhangad, U Rajendra Acharya, T Sunil Kumar

“…This paper presents an automated approach for ADHD detection using the proposed entropy difference (EnD)-based encephalogram (EEG) channel selection approach. …”
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Early – versus late-onset preeclampsia: differences in risk factors and birth outcomes by Markin L., Medvyedyeva O.

“…Although the diagnostic criteria are the same in each of these phenotypic variants of preeclampsia, they are characterized by different clinical features and are associated with different maternal and fetal outcomes. …”
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Evaluation of engineering, physiochemical and nutritional properties of three different varieties of pomelo fruit by Simple Sharma, Barinderjit Singh, Yashi Srivastava

“…The identification of functional compounds done by Fourier transform infrared spectroscopy provides advancement for the production of different functional products. …”
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INTRODUCTION OF INNOVATION TECHNIQUES IN THE HIGH SCHOOL by O.M. Boichenko, Yu.V. Sidash

“…Thus, the introduction of modern innovative technologies into the educational process of universities is necessary, first of all, this is connected with the necessity of improving the teaching process, the degradation of the existing traditional educational process, and radical transformations and complex modifications. In time, pedagogy applies a large number of different innovative teaching methods that direct students to the qualitative learning of knowledge, and the development of their intellectual activities, the formation of skills and critical thinking skills, the ability to independently process information, acquire qualities that will be useful in future professional life. …”
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Adeno-associated virus-based gene therapy for hemophilia–addressing the gaps by Wolfgang Miesbach, Paul Batty, Pratima Chowdary, Sylvia Fong, Radoslaw Kaczmarek, Frank W.G. Leebeek, Brian Long, Johnny Mahlangu, Mike Makris, Glenn F. Pierce, Steven W. Pipe, Alok Srivastava, Jan Voorberg, Flora Peyvandi

“…However, the complexity of gene therapy and the lack of standardization of methods in different components of this therapy can lead to unique challenges for clinical implementation. …”
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The impact of digital economy on agricultural green total factor productivity: evidence from the quasi-natural experiment of the “Broadband China” Strategy by Luanfeng Wang, Yuhui Cai

“…IntroductionThe empowerment of agricultural green transformation through the digital economy has emerged as a critical pathway toward sustainable development.MethodsUtilizing panel data from 286 Chinese cities spanning from 2011 to 2023, this study employs the “Broadband China” Strategy as a quasi-natural experiment to construct a multi-period difference-in-differences (DID) model. …”
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Introduction to deep learning methods for multi‐species predictions by Yuqing Hu, Sara Si‐Moussi, Wilfried Thuiller

“…Specifically, we introduced four distinct deep learning models that use site × species community data but differ in their internal structure or on the input environmental data structure: (1) a multi‐layer perceptron (MLP) model for tabular data (e.g. in‐situ/raster climate or soil data), (2) a convolutional neural network (CNN) and (3) a vision transformer (ViT) models tailored for image data (e.g. aerial ortho‐photographs, satellite imagery), and a multimodal model that integrates both tabular and image data. …”
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Towards a green world: how new urbanization affects green total factor carbon productivity by Xiaohong Wang, Xuanting Li

“…IntroductionNew urbanization is a powerful support for regional economic growth and green transformation.MethodsIn this paper, we select data from 237 cities at prefecture level and above in China from 2010 to 2021 for quasi-experimental design, and investigate the effects of new urbanization policy pilots on urban green total factor productivity (GTFP) and its mechanism by constructing a multi-period difference-in-differences model.ResultsThe study finds that: a) the construction of new urbanization has a positive impact on promoting urban GTFP, and this result is verified by a series of robustness tests; b) the promotion of industrial structure upgrading, the facilitation of green technological innovation, and the reduction of the degree of resource mismatch all partially mediate the relationship between new urbanization and urban GTFP; c) environmental regulation and market integration both modulate the relationship between the construction of new urbanization and urban GTFP in positive directions; d) heterogeneity analysis shows that, in terms of the two-dimensional city attributes of ‘location-characteristics’, the increase in GTFP is more significant in eastern and central cities, and in non-resource cities; e) further analysis shows that the pilot policies of new urbanization have a spatial spillover effect on GTFP, and the policy spillover effects are mainly affected through mechanisms such as industrial structure upgrading in neighboring municipalities.DiscussionThis study provides new ideas for the next stage of sustainable regional green development in China, thus promoting China's high-quality development with theoretical and practical significance.…”
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MT-SCnet: multi-scale token divided and spatial-channel fusion transformer network for microscopic hyperspectral image segmentation by Xueying Cao, Hongmin Gao, Haoyan Zhang, Shuyu Fei, Peipei Xu, Peipei Xu, Zhijian Wang

“…However, the fixed tokenization schemes and single-dimensional feature extraction and fusion in existing methods lead to insufficient global feature extraction in hyperspectral pathology images.MethodsBase on this, we propose a multi-scale token divided and spatial-channel fusion transformer network (MT-SCnet) for MHSIs segmentation. …”
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A Voxelized Transformer-Based Neural Network for 3D Reconstruction From Multi-Energy SEM Backscattered Electrons by Caizhi Zheng, Ronghan Hong, Hao-Jie Hu, Qing Huo Liu

“…Two numerical cases are used to respectively verify the inversion performance of the proposed method for different depths and different feature scales. …”
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Comparison of Different Controller Architectures for Autonomous Driving and Recommendations for Robust and Safe Implementations by M. A. Shadab Siddiqui, M. S. Rabbi, Md Jobayer Islam, Radif Uddin Ahmed

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A New Algorithm for Solving Terminal Value Problems of q-Difference Equations by Yong-Hong Fan, Lin-Lin Wang

“…We propose a new algorithm for solving the terminal value problems on a q-difference equations. Through some transformations, the terminal value problems which contain the first- and second-order delta-derivatives have been changed into the corresponding initial value problems; then with the help of the methods developed by Liu and H. …”
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A New Fault Diagnosis Method of Rotating Machinery by Chih-Hao Chen, Rong-Juin Shyu, Chih-Kao Ma

“…An experimental study was performed to evaluate the proposed method and the results show that the method can effectively detect and recognize different kinds of faults of rotating machinery.…”
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A Visual Measurement Method for Large-Sized Parts by Junkai Yang

“…The method utilizes the edge detection pixel point data of the part image for searching and region localization of line and circle features in the image with a modified Hough transform; A geometric calculation is used to compute the coordinates of the point cloud within the feature area; Drawing on the idea of graph neural network, the priori knowledge of machining is utilized to establish the correlation of related dimensional features in the part drawing, and this is used to propose a model of dimensional validation and correction by the combination of different features. …”
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S²RCFormer: Spatial-Spectral Residual Cross-Attention Transformer for Multimodal Remote Sensing Data Classification by Yifei Xu, Lingming Cao, Jialu Li, Wenlong Li, Yaochen Li, Yingjie Zong, Aichen Wang, Yuan Rao, Shuiguang Deng

“…The results indicate that the proposed approach shows comparable results to other state-of-the-art methods over different metrics.…”
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How Do Different Types of Environmental Regulations Affect Green Innovation Efficiency? by Hui Li, Chuandang Zhao, Xiaoying Tang, Jiawei Cheng, Guanyang Lu, Yang Gu, Zhiyue Zhang, Yang Liu

“…However, due to the defects of previous methods for measuring GIE, existing studies may have deviations when analysing the effect of environmental regulations on GIE. …”
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Experimental modeling of chemical burning of the esophagus using different concentrations of alkali solution by I. Yu. Karpova, P. V. Peretyagin, N. Yu. Orlinskaya, T. E. Potemina, V. V. Parshikov

“…The purpose and objectives of the study: is to create an experimental model of a chemical burn of the esophagus with alkali to study the pathological transformation of the tissues of the upper gastrointestinal tract.Materials and methods. …”
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Local-Global Feature Extraction Network With Dynamic 3-D Convolution and Residual Attention Transformer for Hyperspectral Image Classification by Qiqiang Chen, Zhengyang Li, Junru Yin, Wei Huang, Tianming Zhan

“…Currently, convolutional neural network (CNN) and transformer-based hyperspectral image (HSI) classification methods have attracted significant attention owing to their effective feature representation capabilities. …”
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Integrating Multiscale Spatial–Spectral Shuffling Convolution With 3-D Lightweight Transformer for Hyperspectral Image Classification by Qinggang Wu, Mengkun He, Qiqiang Chen, Le Sun, Chao Ma

“…Different from the slicing operation employed in classical transformers, the 3DLT directly extracts the inherent 3-D structural features from the HSI and mitigates quadratic complexity through a lightweight spatial–spectral pooling cross-attention mechanism. …”
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