Shrub encroachment alters the diversity of soil fungal communities in topsoil, but not in subsoil under alpine grassland of the Qinghai-Tibetan plateau by Wenming Ma, Tenzing Droma, Changting Wang, Xiangli Ma

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Investigating Maps of Science Using Contextual Proximity of Citations Based on Deep Contextualized Word Representation by Muhammad Roman, Abdul Shahid, Shafiullah Khan, Lisu Yu, Muhammad Asif, Yazeed Yasin Ghadi

“…Therefore, we have developed our own scholarly dataset, Citation Context Dataset with Intent (C2D-I), an extension of the C2D dataset. …”
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Exploring the Effect of Sampling Frequency on Real-World Mobility, Sedentary Behaviour, Physical Activity and Sleep Outcomes Measured with Wearable Devices in Rheumatoid Arthritis:... by Javad Sarvestan, Kenneth F. Baker, Silvia Del Din

“…We aimed to (a) assess the feasibility, usability and acceptability of wearable devices in patients with active RA; (b) investigate the multivariate relationships within the dataset; and (c) explore the robustness of accelerometry outcomes to downsampling to facilitate future prolonged monitoring. …”
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Evaluating the Effectiveness of mRNA-1273.815 Against COVID-19 Hospitalization Among Adults Aged ≥ 18 Years in the United States by Amanda Wilson, Neloufar Rahai, Ekkehard Beck, Elisha Beebe, Brian Conroy, Daina Esposito, Priya Govil, Hagit Kopel, Tianyi Lu, James Mansi, Morgan A. Marks, Katherine E. Mues, Rohan Shah, Michelle Skornicki, Tianyu Sun, Astra Toyip, Mitra Yousefi, David Martin, Andre B. Araujo

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Effect of Lb. plantarum BFE 5092 Fermentation on Antinutrient and Oligosaccharide Composition of Whole Red Haricot Bean (Phaseolus vulgaris L) by Vivian C. Kitum, Peter K. Kinyanjui, Julius M. Mathara, Daniel N. Sila

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Cardiovascular risk and mortality in men receiving testosterone replacement therapy for Klinefelter syndrome in Denmark: a retrospective cohort studyResearch in context by Simon Chang, Lars Pedersen, Anne Skakkebæk, Agnethe Berglund, Claus H. Gravholt

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CompositIA: an open-source automated quantification tool for body composition scores from thoraco-abdominal CT scans by Raffaella Fiamma Cabini, Andrea Cozzi, Svenja Leu, Benedikt Thelen, Rolf Krause, Filippo Del Grande, Diego Ulisse Pizzagalli, Stefania Maria Rita Rizzo

“…Methods A retrospective dataset of 205 contrast-enhanced thoraco-abdominal CT examinations was used for training, while 54 scans from a publicly available dataset were used for independent testing. …”
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Feasibility of generating sagittal radiographs from coronal views using GAN-based deep learning framework in adolescent idiopathic scoliosis by Tito Bassani, Andrea Cina, Fabio Galbusera, Andrea Cazzato, Maria Elena Pellegrino, Domenico Albano, Luca Maria Sconfienza

“…The dataset was divided into training-set (85%, n = 3,356) and test-set (15%, n = 579). …”
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The InBIO Barcoding Initiative Database: contribution to the knowledge of DNA barcodes of the vascular plants of north-eastern Portugal by João Queirós, Rodrigo Silva, Catarina J. Pinho, Hélia Vale-Gonçalves, Ricardo Pita, Paulo Alves, Pedro Beja, Joana Paupério, Miguel Porto

“…However, it requires a robust DNA barcode reference library for accurate taxa identification. This dataset has been generated in the framework of the InBIO Barcoding Initiative (IBI) and Agrivole project. …”
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Vehicle Detection for Vision-Based Intelligent Transportation Systems Using Convolutional Neural Network Algorithm by Othman O. Khalifa, Muhammad H. Wajdi, Rashid A. Saeed, Aisha H. A. Hashim, Muhammed Z. Ahmed, Elmustafa Sayed Ali

“…Results from the simulated and evaluated algorithm showed that the proposed model was able to achieve a mAP of 97.8 in the daytime dataset and 95.1 in the nighttime dataset.…”
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Optimizing Pretrained Convolutional Neural Networks for Tomato Leaf Disease Detection by Iftikhar Ahmad, Muhammad Hamid, Suhail Yousaf, Syed Tanveer Shah, Muhammad Ovais Ahmad

“…We test the underlying models on two datasets, a laboratory-based dataset and self-collected data from the field. …”
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Relevant SMS Spam Feature Selection Using Wrapper Approach and XGBoost Algorithm by Diyari Jalal Mussa, Noor Ghazi M. Jameel

“…Number of structural features was collected from previous studies. 15 structural features were extracted from Tiago’s dataset, which is the most frequently used dataset by researchers. …”
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A Novel Method to Forecast Nitrate Concentration Levels in Irrigation Areas for Sustainable Agriculture by Halil Karahan, Müge Erkan Can

“…The proposed model reliably fills dataset gaps (Scenario I) and predicts nitrate values in time series (Scenario II). …”
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Improved CLIP-ILP Model for Detecting Illegal Passenger Transport in Freight Trucks by Xuan Wu, Wenlin Pan

“…” The model was trained using this dataset, with an emphasis on leveraging the CLIP framework’s ability to understand and integrate visual and textual data. …”
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Altered Effective Connectivity of the Primary Motor Cortex in Transient Ischemic Attack by Zeqi Hao, Yulin Song, Yuyu Shi, Hongyu Xi, Hongqiang Zhang, Mengqi Zhao, Jiahao Yu, Lina Huang, Huayun Li

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Higher Body Mass Index Is Associated with Subjective Olfactory Dysfunction by Z. M. Patel, J. M. DelGaudio, S. K. Wise

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Detection and Segmentation of Glioma Tumors Using an Improved Visual Geometry Group (IVGG) Deep Learning Structure by Parameswari Alagarsamy, Vinoth Kumar Kalimuthu, Bhavani Sridharan

“…The features are computed from the glioma brain image dataset images and the normal brain image dataset images and these features are fed into the classification architecture. …”
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Automatic Tracking and Characterization of Cumulonimbus Clouds from FY-2C Geostationary Meteorological Satellite Images by Yu Liu, Du-Gang Xi, Zhao-Liang Li, Chun-Xiang Shi

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Person Reidentification Model Based on Multiattention Modules and Multiscale Residuals by Yongyi Li, Shiqi Wang, Shuang Dong, Xueling Lv, Changzhi Lv, Di Fan

“…The experimental results on Market-1501 dataset and DukeMTMC-reID dataset show that the indexes of the presented model, especially Rank-1 accuracy, reach 96.20% and 89.59%, respectively, which can be considered as a progress in Re-ID.…”
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Advanced Malware Detection: Integrating Convolutional Neural Networks with LSTM RNNs for Enhanced Security by Balsam Ridha Habeeb Alsaedi

“…To evaluate the performance of our proposed approach, we conducted experiments on the MaliMG dataset, which includes a diverse range of malware samples. …”
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