The process and logical mechanism of agricultural production space contraction in mountainous areas based on actor-network theory：A case study of Lishi Village in Longde County, Ni... by CHEN Kunqiu, CHEN Yunya, LIANG Yajia, ZHENG Yuhan

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How do crime and neighborhood environment affect transit ridership? Evidence from five metropolitan cities in the Texas Triangle by Qian He, Jianling Li

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Artificially intelligent detection of retinal pigment sign using P3S-Net for retinitis pigmentosa analysis by Syed Muhammad Ali Imran, Abida Hussain, Nema Salem, Muhammad Arsalan

“…P3S-Net is a residual network with less trainable parameters due to its large kernel architecture. Moreover, these large-kernel receptive fields yield improved segmentation results with early, intermediate, and late feature information fusion. …”
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The theoretical cognition and research paradigm of land system science by LONG Hualou, CHEN Kunqiu, ZHENG Yuhan, ZHANG Yingnan

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A Mineral Oil Plant Protection Product Improves Turfgrass Quality of Deficit Irrigated Bermudagrass by Mingying Xiang, Marco Schiavon, Pawel Orlinski, James H. Baird

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Functional MRI-guided microsurgery of intracranial arteriovenous malformations: study protocol for a randomised controlled trial by Shuo Wang, Yuanli Zhao, Jun Wu, Bing Zhao, Yong Cao

“…Patient baseline characteristics and AVM architecture and characteristics will be described. In the fMRI-guided group, fMRI mapping of an eloquent cortex in all AVMs will be identified. …”
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InceptionDTA: Predicting drug-target binding affinity with biological context features and inception networks by Mahmood Kalemati, Mojtaba Zamani Emani, Somayyeh Koohi

“…InceptionDTA utilizes a multi-scale convolutional architecture based on the Inception network to capture features at various spatial resolutions, enabling the extraction of both local and global features from protein sequences and drug SMILES. …”
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Time-dependent model for in-situ concrete carbonation depth under combined effects of temperature and relative humidity by Ting Du, Yongjia Cai, Yipu Guo, Jinghao Chen, Sen Chen, Mofang Yuan, Fulin Qu

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An explainable deep learning model for diabetic foot ulcer classification using swin transformer and efficient multi-scale attention-driven network by R. Karthik, Armaano Ajay, Anshika Jhalani, Kruthik Ballari, Suganthi K

“…To the best of our knowledge, this is the first work reporting the findings of a dual track architecture for DFU classification, leveraging Swin transformer and EMADN networks. …”
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Evaluating the predictive potential of RSM and ANN models in treatment of greywater-syrup mixture using Ekowe clay-PEM microbial fuel cell by Livinus A. Obasi, Cornelius O. Nevo

“…A 24 central composite design and a three-layered (4:n:1) feedforward ANN architecture trained by a backpropagation algorithm were used to study and predict the MFC process performance criteria. …”
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Development and validation of a deep learning system for detection of small bowel pathologies in capsule endoscopy: a pilot study in a Singapore institution by Bochao Jiang, Michael Dorosan, Justin Wen Hao Leong, Marcus Eng Hock Ong, Sean Shao Wei Lam, Tiing Leong Ang

“…The best BPM model based on a pre-trained ResNet50 architecture had an area under the receiver operating characteristic and precision-recall curves of 0.969±0.008 and 0.843±0.041, respectively. …”
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Museographic narrating of dissonant heritage in Tianjin’s former international concessions by Maria Gravari-Barbas, Sandra Guinand, Yue Lu, Chensi Shen

“…The article captures and examines the main narratives from three perspectives: 1) revisiting the concession period as evidence of the beginning of modernity in China, which was a time in which celebrity life stories and the emergence of modern urban elements were praised; 2) considering the concessions as a dreamlike past of ‘others’ and ‘elsewheres’ belonging to a ‘foreign land’ and a context far removed from contemporary life in China, which favours the thematisation and leisure of Western architecture; and 3) selecting and targeting narratives focused on the heroes of the Republic of China (1912–1949) and the People’s Republic of China. …”
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RenalSegNet: automated segmentation of renal tumor, veins, and arteries in contrast-enhanced CT scans by Rashid Khan, Chao Chen, Asim Zaman, Jiayi Wu, Haixing Mai, Liyilei Su, Yan Kang, Bingding Huang

“…RenalSegNet has an innovative encoder-decoder architecture, including the FlexEncoder Block for efficient multivariate feature extraction and the MedSegPath mechanism for advanced feature distribution and fusion. …”
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Modified AlexNet Convolution Neural Network For Covid-19 Detection Using Chest X-ray Images by Shadman Q. Salih, Hawre Kh. Abdulla, Zanear Sh. Ahmed, Nigar M. Shafiq Surameery, Rasper Dh. Rashid

“…Moreover, the modified AlexNet architecture is proposed in different scenarios were differing from each other in terms of the type of the pooling layers and/or the number of the neurons that have used in the second fully connected layer. …”
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Deep learning powered single-cell clustering framework with enhanced accuracy and stability by Yi Zhang, Xi Feng, Yin Wang, Kai Shi

“…This enriches the graph representation by capturing the spatial relationships between cells in addition to their pairwise similarities. (2) Dual-topology adaptive graph convolutional network (TAGCN): The framework employs a TAGCN architecture with residual concatenation. This network utilizes an attention mechanism to dynamically weight features within the graph, focusing on the most informative aspects for clustering. …”
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Traditional Chinese Medicine Prescription Generation Model Based on Search Enhancement by ZHAO Zijuan, REN Xueting, SONG Kai, QIANG Yan, ZHAO Juanjuan, ZHANG Junlong

“…In order to solve these problems, a hybrid neural network architecture for TCM prescription generation—PreGenerator is proposed. …”
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Transformer-based malware detection using process resource utilization metrics by Dimosthenis Natsos, Andreas L. Symeonidis

“…We compare the proposed Transformer-based architecture with the leading LSTM model in terms of accuracy, precision, recall, F1-score and training time, focusing on performance across varying sample sizes and validate our results with rigorous statistical methodologies. …”
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From social media to policy: Public insights on transport communication and services in Queensland by Shane Mathews, Jenny Hou, Tan Yigitcanlar, Fahimeh Golbabaei, Nayomi Kankanamge, Adam Downie, Alexander Paz

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Unique Design of Learning Studio Spaces: A Case Study of The Department of Applied Design and Fine Art Kabale University. by Akatwijuka, Onesmus

“…It can be for the purpose of acting, architecture, painting, pottery (ceramics), sculpture, origami, woodworking, scrapbooking, photography, graphic design, filmmaking, animation, industrial design, radio or television production broadcasting or the making of music. …”
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Unique Design of Learning Studio Spaces: A Case Study of the Department of Applied Design and Fine Art Kabale University. by Akatwijuka, Onesmus

“…It can be for the purpose of acting, architecture, painting, pottery (ceramics), sculpture, origami, woodworking, scrapbooking, photography, graphic design, filmmaking, animation, industrial design, radio or television production broadcasting or the making of music. …”
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