TMFN: a text-based multimodal fusion network with multi-scale feature extraction and unsupervised contrastive learning for multimodal sentiment analysis by Junsong Fu, Youjia Fu, Huixia Xue, Zihao Xu

“…Firstly, we propose an innovative pyramid-structured multi-scale feature extraction method, which captures the multi-scale features of modal data through convolution kernels of different sizes and strengthens key features through channel attention mechanism. …”
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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

“…The linear variable differential transformer is a key component for measuring vibration noise and active vibration isolation. …”
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SwinConvNeXt: a fused deep learning architecture for Real-time garbage image classification by B. Madhavi, Mohan Mahanty, Chia-Chen Lin, B. Omkar Lakshmi Jagan, Hari Mohan Rai, Saurabh Agarwal, Neha Agarwal

“…People still face challenges in proper disposal methods for different types of waste, including landfill-bound items, recyclable materials, and biodegradable waste. …”
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Comparative analysis of solvent-based and solvent-free (melting) methods for fabricating 3D-printed polycaprolactone-hydroxyapatite composite bone scaffolds: physicochemical/mechan... by Brigita De Vega, Brigita De Vega, Abir Dutta, Abir Dutta, Aisha Mumtaz, Bob C. Schroeder, Craig Gerrand, Ashleigh S. Boyd, Ashleigh S. Boyd, Deepak M. Kalaskar, Deepak M. Kalaskar

“…It also highlights the differences in workflows between the two methods and their scalability implications, emphasizing the importance of considering workflow efficiency and the potential for automation in scaffold fabrication processes for bone tissue engineering applications.…”
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Personal Data Recognition Using a Deep Learning Model by Nikita Babak

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Analyzing the interaction of key factors of Sustainable Business Model Innovation in the Digital Age Based on Dynamic Capabilities Using An integrative meta-synthesis and interpret... by Ayoub Mohammadian, Seyed Hamed Vares, Nastaran Hajiheydari, Datis Khajeheian, Mohammad Kargar Shouraki

“…The method of this research is mixed so that in the first stage the qualitative method of Meta-Synthesis is used and in the second stage the quantitative method of Interpretive Structural Modeling (ISM) is used. …”
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Pure data correction enhancing remote sensing image classification with a lightweight ensemble model by Huaxiang Song, Hanglu Xie, Yingying Duan, Xinyi Xie, Fang Gan, Wei Wang, Jinling Liu

“…Abstract The classification of remote sensing images is inherently challenging due to the complexity, diversity, and sparsity of the data across different image samples. Existing advanced methods often require substantial modifications to model architectures to achieve optimal performance, resulting in complex frameworks that are difficult to adapt. …”
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Optimal Dispatch of Multi-Coupling Systems Considering Molten Salt Thermal Energy Storage Retrofit and Cost Allocation Under Rapid Load Variations by Niancheng Zhou, Zhenyu Xu, Yuan Chi, Yao Zou, Fei Xu, Xuhui Dai

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Toolkit for the efficient articulation of sustainable strategies with design and management methodology used by AECO industry in Latin America by Carolina Valbuena-Bermúdez, Claudia Bengoa-Alvarez

“…Digital transformation is changing the world, and with it the construction and architecture industry, however, although there are many collaborative work frameworks for digitization, and agile philosophies among different professionals, the methodologies of creative processes throughout the entire life cycle of a project that involves sustainability strategies have been greatly reduced and relegated over time. …”
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Obstacles to Digital Innovation in KIBS — The Case of Law Firms in Poland by Krzysztof Durczak, Marek Gnusowski, Maciej Ławrynowicz

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GPS Phase Integer Ambiguity Resolution Based on Eliminating Coordinate Parameters and Ant Colony Algorithm by Ning Liu, Shuangcheng Zhang, Xiaoli Wu, Yu Shen

“…The method eliminates the coordinate parameters in the observation equation using QR decomposition transformation, and only estimates the ambiguity parameters using the Kalman filter. …”
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Preparation and performance of hydroxyapatite-graphene oxide composite microspheres by YUAN Qiuhua, SHI Xin, WU Wenshan, DAI Xiaoyi, ZHONG Junxi, YANG Yuan, JIAN Youliang, LI Ruilong, WANG Tao

“…Firstly, spherical calcium carbonate-graphene oxide (CaCO3-GO) composites were synthesized by hard template method. Then, spherical hollow HA-GO composite microspheres were successfully prepared by a method of hydrothermal-assisted ion exchange. …”
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Innovative deep learning classifiers for breast cancer detection through hybrid feature extraction techniques by S. Vijayalakshmi, Binay Kumar Pandey, Digvijay Pandey, Mesfin Esayas Lelisho

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CIRCULAR PUNCH INDENTATION INTO CONTINUOUSLY INHOMOGENEOUS THERMOELASTIC HALF-SPACE UNDER GIVEN CONSTANT TEMPERATURE AT ITS FLAT BOTTOM by Leonid Ivanovich Krenev, Sergey Mikhaylovich Aizikovich, Boris Igorevivich Mitrin

“…The earlier solution, obtained through the combined numerical and analytical ap proach (using Hankel integral transform and the modulating fun ction method) to the unmixed pro b lem on the arbitrary thermomechanical effect upon the inhomogeneous in depth thermoelastic half - space, is applied to solve the problem. …”
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MLR-predictor: a versatile and efficient computational framework for multi-label requirements classification by Summra Saleem, Summra Saleem, Muhammad Nabeel Asim, Ludger Van Elst, Markus Junker, Andreas Dengel, Andreas Dengel

“…However, a few predictors are designed for multi-label classification and they are not practically useful due to less predictive performance.MethodMLR-Predictor makes use of innovative OkapiBM25 model to transforms requirements text into statistical vectors by computing words informative patterns. …”
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Assessment of Digital Activity of the Population in the Context of the Theory of Generations by M. V. Bikeeva

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Detecting Black-Box Model Probing Attacks Through Probability Scores by Yongzhi Wang, Ahsan Habib, Likhitha Reddy Kesara, Brahmarshi Jasti, Renjie Hu, Tejasv Singh

“…Our research discovered that the sequences of top-2 probability scores generated by different model probing attacks form distinct patterns that can be detected through time-series classification methods, such as Transformer and Bidirectional Long Short-Term Memory (BiLSTM). …”
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An LLM-based hybrid approach for enhanced automated essay scoring by John Atkinson, Diego Palma

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Gender values in common-law marriages by Z. Kh. Kobleva

“…Currently the institution of the family and marriage relations is undergoing serious changes due to transformational processes of the Russian society. These changes are reflected in the variability of forms and models of the modern family and the common-law marriage is universally popular.In the context of the modernization of society, traditional gender stereotypes are being eroded, leading to a revision of established behavioral norms and social roles in the family, forming the value-motivational foundations of marriage.The Methods. …”
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Morphological transgression by reproduction through the short vowel and the silent A study of morphological variations in the poetry of Ibn al-Roumi by Marewan Ismail Jameel, Abdulsattar Salh Ahmad Albana

“…However, it may deviate from its usual pattern or the standard to settle in different methods and formulas known as ‘the modified language’. …”
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