Food Neophobia and Two Facets of Orthorexia Among Women: Cross-Sectional Study by Tuba Yalçın, Seda Çiftçi, Elif Esra Ozturk

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Exploring the Potential of Blockchain Technology in an IoT-Enabled Environment: A Review by Deepak, Preeti Gulia, Nasib Singh Gill, Mohammad Yahya, Punit Gupta, Prashant Kumar Shukla, Piyush Kumar Shukla

“…This review article gives a succinct but thorough understanding of blockchain technology, covering architecture of blockchain, working principles, types, applications, platforms, and its role in the IoT environment. …”
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Revealing the Influence Mechanism of Urban Built Environment on Online Car-Hailing Travel considering Orientation Entropy of Street Network by Sai Wang, Jianjun Wang, Weijia Li, Jialin Fan, Mingyu Liu

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Tibetan–Chinese speech-to-speech translation based on discrete units by Zairan Gong, Xiaona Xu, Yue Zhao

“…Leveraging HuBERT model to extract discrete units of target speech, we develop a speech-to-unit translation (S2UT) model using an encoder-decoder architecture which subsequently generates speech output through a unit-based vocoder. …”
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Effect of Aloe vera gel on the parotid glands of streptozotocin-induced diabetic albino rats: histological and immunohistochemical study. by Shukria Mohammed Hussein

“…Results: Histopathological examination of the parotid salivary glands in the diabetic group revealed a loss of the standard glandular architecture, including the acini, duct, and connective tissue stroma. …”
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A Comprehensive Exploration of 6G Wireless Communication Technologies by Md Nurul Absar Siddiky, Muhammad Enayetur Rahman, Md Shahriar Uzzal, H. M. Dipu Kabir

“…Our discourse navigates through the intricate architecture of 6G, highlighting the paradigm shifts toward superconvergence, non-IP-based networking protocols, and information-centric networks, all underpinned by a robust 360-degree cybersecurity and privacy-by-engineering design. …”
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Securing Brain-to-Brain Communication Channels Using Adversarial Training on SSVEP EEG by Hossein Ahmadi, Ali Kuhestani, Mohammadreza Keshavarzi, Luca Mesin

“…We utilized a combined Convolutional Neural Network-Temporal Convolutional Network (CNN-TCN) architecture to classify the data and assessed the system’s resistance to various adversarial strategies, including Fast Gradient Sign Method (FGSM), Projected Gradient Descent (PGD), Basic Iterative Method (BIM), Carlini & Wagner (C&W), and Momentum Iterative Method (MIM). …”
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Surface Structures, Particles, and Fibers of Shape-Memory Polymers at Micro-/Nanoscale by Liangliang Cao, Liwei Wang, Cihui Zhou, Xin Hu, Liang Fang, Yaru Ni, Chunhua Lu, Zhongzi Xu

“…Shape-memory effect (SME) is not a unique ability for specific polymeric materials but results from the combination of a tailored shape-memory creation procedure (SMCP) and suitable molecular architecture that consists of netpoints and switching domains. …”
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Information system for ontological modelling the subject areas by M. N. Bukharov

“…An information system with a unique architecture has been developed, namely a hybrid intelligence system for the automation of ontological modelling.Conclusion. …”
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Test of the RUSLE and Key Influencing Factors Using GIS and Probability Methods: A Case Study in Nanling National Nature Reserve, South China by Jun Wang, Qian He, Ping Zhou, Qinghua Gong

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Small world of the miRNA science drives its publication dynamics by A. B. Firsov, I. I. Titov

“…Using this graph, we show that the growth of the miRNA field is governed by the small-world architecture of the scientific institution network and experiences power-law growth with exponent 2.64 ± 0.23 for organization number, in accordance with network diameter, proposing the growth model for emerging scientific fields. …”
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Boundary Extraction Based on Dual Stream Deep Learning Model in High Resolution Remote Sensing Images by Umut Aydar, Emin Özgür Avşar, Özgün Akçay, A. Cumhur Kınacı

“…In this study, dual stream network architecture of three different models that can obtain boundary extraction by using normalized Digital Surface Model (nDSM), Normalized Difference Vegetation Index (NDVI) and Near-Infrared (IR) band as the second stream, was explained. …”
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Performance Optimization of Cloud Data Centers with a Dynamic Energy-Efficient Resource Management Scheme by Yu Cui, Shunfu Jin, Wuyi Yue, Yutaka Takahashi

“…As a way of saving energy as well as maintaining cloud user’s quality of experience, the scheme presents a multitier cloud architecture by configuring physical machines (PMs) into two pools: a hot (running) pool and a warm (turned on, but in dynamic sleep) pool. …”
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Reorganisation of chromatin during erythroid differentiation by A. A. Khabarova, A. S. Ryzhkova, N. R. Battulin

“…Drastic changes of genome architecture and function accompanying erythroid differentiation seem to be an informative model for studying the ways of how genome organization and dynamic gene activity are connected. …”
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A Virtual Reality Platform for Safety Training in Coal Mines with AI and Cloud Computing by Mei Li, Zhenming Sun, Zhan Jiang, Zheng Tan, Jinchuan Chen

“…The system, with browser/client architecture, includes eight modules demonstrating the full procedure of an underground coal mine. …”
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Predicting the correlation between neurological abnormalities and thyroid dysfunction using artificial neural networks by Dina Falah Noori Al-Sabak, Leila Sadeghi, Gholamreza Dehghan

“…The model features a sequential architecture, comprising a long short-term memory (LSTM) layer, a bidirectional LSTM layer, and several fully connected layers. …”
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Acute ischemic stroke lesion segmentation in non-contrast CT images using 3D convolutional neural networks by A.V. Dobshik, S.K. Verbitskiy, I.A. Pestunov, K.M. Sherman, Yu.N. Sinyavskiy, A.A. Tulupov, V.B. Berikov

“…Our deep-learning approach is based on the popular 3D U-Net convolutional neural network architecture, which was modified by adding the squeeze-and-excitation blocks and residual connections. …”
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YOLO-TumorNet: An innovative model for enhancing brain tumor detection performance by Jian Huang, Wen Ding, Tiancheng Zhong, Gang Yu

“…Specifically, YOLO-TumorNet integrates the InceptionNeXt architecture, Multi-Scale Spatial Pyramid Attention (MSPA), and Bidirectional Feature Pyramid Network (BiFPN) modules to enhance multi-scale feature extraction and channel attention mechanisms, thereby improving the model’s accuracy and robustness in brain tumor detection. …”
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Exploiting question-answer framework with multi-GRU to detect adverse drug reaction on social media by Jiao-huang Luo, Ai-hua Yang

“…Experimental results obtained from two Twitter ADR datasets affirm that our Question-Answer Mechanism, leveraging multi-GRU architecture, significantly improves the accuracy of ADR detection in tweets. …”
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An Efficient FPGA Implementation of Optimized Anisotropic Diffusion Filtering of Images by Chandrajit Pal, Avik Kotal, Asit Samanta, Amlan Chakrabarti, Ranjan Ghosh

“…In this paper, we present the FPGA implementation of an edge-preserving anisotropic diffusion filter for digital images. The designed architecture completely replaced the convolution operation and implemented the same using simple arithmetic subtraction of the neighboring intensities within a kernel, preceded by multiple operations in parallel within the kernel. …”
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