Dynamic Trends in Aquatic Product Supply and Consumption in China: Implications for Sustainable Diets and Environmental Impact Reduction by Wanni Yang

“…The aim of this study was to depict the dynamic trends of aquatic products and the consequences of sustainable diets and environmental impacts. A panel dataset about Chinese aquatic products covering the period from 1952 to 2023 was drawn for analysis. …”
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OPTIMIZING PROPERTY VALUATION: A SYSTEMATIC APPROACH FOR SELECTING COMPARABLE SALES BASED ON SIMILARITY AND RELIABILITY CRITERIA IN THE MARKET COMPARISON APPROACH by Francesca Salvo, Daniela Tavano

“…The findings from case studies indicate that the MCA demonstrates enhanced effectiveness when applied to a carefully curated selection of comparables based on specific criteria, as evidenced by minimal discrepancies between adjusted prices and reduced forecasting error margins.Additionally, the analysis shows a notable decline in the model’s accuracy as the dataset size increases, attributed to the inclusion of less suitable comparable properties in the valuation process. …”
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An investigation on the radiological findings of dental and bone diseases related to jaw trauma in combat sports by Musa Con, Mehmet Yalcin Tasmekteplıgıl, Taner Tunc, Yesim Denız

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The Characteristics of Tropical Cyclones and Associated High Winds in Shanghai from 2005 to 2020 by Zhihui Han, Caijun Yue, Tongxiao Yang, Wen Gu, Dongwei Liu, Yuqi Tang, Yao Yao

“…The characteristics of 21 tropical cyclones (TCs) and associated high winds in Shanghai from 2005 to 2020 are analyzed based on the TC best track data, surface observations, and ERA5 reanalysis dataset. Results indicate that 95% of the TCs causing high winds in Shanghai were generated during July to September, and located to the south of Shanghai for ~80% of the impact time. …”
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Efficient Moving Object Segmentation in LiDAR Point Clouds Using Minimal Number of Sweeps by Zoltan Rozsa, Akos Madaras, Tamas Sziranyi

“…The model is trained on a dataset of LiDAR point clouds and related camera images. …”
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Virtual reality-based eye examination at a community-free clinic: A pilot study by Jullian Valadez, Howard Zhang, Sylvia L. Groth

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Innovative Framework for Historical Architectural Recognition in China: Integrating Swin Transformer and Global Channel–Spatial Attention Mechanism by Jiade Wu, Yang Ying, Yigao Tan, Zhuliang Liu

“…Through extensive experiments on a constructed historical building dataset, our model achieves an outstanding performance of over 97.8% in key metrics including accuracy, precision, recall, and F1 score (harmonic mean of the precision and recall), surpassing traditional CNN (convolutional neural network) architectures and contemporary deep learning models. …”
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Ocular Surface Temperature in Age-Related Macular Degeneration by Andrea Sodi, Sara Matteoli, Giovanni Giacomelli, Lucia Finocchio, Andrea Corvi, Ugo Menchini

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Transformer-Based Optimization for Text-to-Gloss in Low-Resource Neural Machine Translation by Younes Ouargani, Noussaim El Khattabi

“…With a 55.18 Recall-Oriented Understudy for Gisting Evaluation (ROUGE) score, and a 63.6 BiLingual Evaluation Understudy 1 (BLEU1) score, our proposed model not only outperforms state-of-the-art models on the Phoenix14T dataset but also outperforms some of the best alternative architectures, specifically Convolutional Neural Network (CNN), Long Short Term Memory (LSTM), and Gated Recurrent Unit (GRU). …”
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Classification of Dyslexia Among School Students Using Deep Learning by Alia Hussein, Ahmed Talib Abdulameer, Ali Abdulkarim, Husniza Husni, Dalia Al-Ubaidi

“…These images are then used as input for a CNN model trained on a large dataset of dyslexic and non-dyslexic samples. The CNN learns to automatically extract discriminative features from the spectrogram images and classify them into dyslexic and non-dyslexic categories. …”
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Evaluation of an artificial intelligence-based system for real-time high-quality photodocumentation during esophagogastroduodenoscopy by Byeong Yun Ahn, Junwoo Lee, Jeonga Seol, Ji Yoon Kim, Hyunsoo Chung

“…This study aimed to evaluate the completeness and quality of APT’s photodocumentation compared to endoscopists. The dataset comprised 37 EGD videos recorded at Seoul National University Hospital between March and June 2023. …”
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Necrotizing Fasciitis in Paroxysmal Nocturnal Hemoglobinuria by Pusem Patir, Yakup Isik, Yigit Turk, Mehmet Can Ugur, Cengiz Ceylan, Gulnur Gorgun, Nihal Mete Gokmen, Guray Saydam, Fahri Sahin

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Long‐Term Demographic Trends of Near Threatened Coastal Dolphins Living in an Urban Estuary by Kennadie Haigh, Guido J. Parra, Luciana Möller, Aude Steiner, Mike Bossley

“…We used a long‐term photographic capture‐recapture dataset (1993–2020) of Indo‐Pacific bottlenose dolphins (Tursiops aduncus) in the highly urbanised Adelaide Dolphin Sanctuary (ADS), South Australia, to estimate key demographic parameters and their variability over time. …”
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Plantonome: A Cross-Platform Application for Precision Agriculture by Deroussi Anass, Ait Madi Abdessalam, Alihamidi Imam, Chabou Zakaria, Addaim Adnane

“…The application also utilizes a NoSQL database for storing user data and plant preferences, and it includes a dataset of ornamental plants with details such as name, brightness, temperature, and humidity requirements. …”
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Research on Road Adhesion Condition Identification Based on an Improved ALexNet Model by QiMing Wang, JinMing Xu, Tao Sun, ZhiChao Lv, GaoQiang Zong

“…First, the ALexNet network model is pretrained on the ImageNet dataset offline. Second, the weights of the shallow network structure after training, including the convolutional layer, are saved and migrated to the proposed model. …”
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Passive Immunoprophylaxis for the Protection of the Mother and Her Baby: Insights from In Vivo Models of Antibody Transport by Yanqun Xu, Iftekhar Mahmood, Lilin Zhong, Pei Zhang, Evi B. Struble

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Implementation Of Convolutional Neural Network (Cnn) Based On Mobile Application For Rice Quality Determination by Muhammad Zainal Altim, Abdullah Basalamah, kasman kasman

“…The method applied is an experimental method that utilizes machine learning technology by using many rice images that are used as datasets. The data of these images is classified by their shape, color and background. …”
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Disrupted microsaccade responses in late-life depression by Yao-Tung Lee, Ying-Hsuan Tai, Yi-Hsuan Chang, Cesar Barquero, Shu-Ping Chao, Chin-An Wang

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Single-cell RNA sequencing reveals tumor heterogeneity in small cell neuroendocrine cervical carcinoma by Xuesong Xiang, Xiang Tao, Keqin Hua, Hua Jiang, Jingxin Ding

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An Elevated Maternal Plasma Soluble fms-Like Tyrosine Kinase-1 to Placental Growth Factor Ratio at Midtrimester Is a Useful Predictor for Preeclampsia by Mahmoud Fathy Hassan, Nancy Mohamed Ali Rund, Ahmed Husseiny Salama

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