Hemodialysis Adequacy and Its Impact on Long-Term Patient Survival in Demographically, Socially, and Culturally Homogeneous Patients by Reza Hekmat

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Attentive Self-supervised Contrastive Learning (ASCL) for plant disease classification by Getinet Yilma, Mesfin Dagne, Mohammed Kemal Ahmed, Ravindra Babu Bellam

“…The pre-trained weights were then fine-tuned on small-scale unseen datasets extracted from the 17-class PlantVillage Taiwan Tomato and Apple datasets. …”
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Characteristics of Nonmotor Symptoms in Progressive Supranuclear Palsy by Ruwei Ou, Wei Song, Qianqian Wei, Ke Chen, Bei Cao, Yanbing Hou, Bi Zhao, Huifang Shang

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A Robust Approach for Blur and Sharp Regions’ Detection Using Multisequential Deviated Patterns by Awais Khan, Ali Javed, Aun Irtaza, Muhammad Tariq Mahmood

“…Experiments are conducted on two commonly used SHI and DUT datasets for blur and sharp region classifications. …”
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Estimation of malondialdehyde and catalase activity in pregnant women at IIMS&R Hospital, Lucknow, India by Niharika Singh, Saba Khan, Mohammad Mustufa Khan, Haseeb Ahsan, Roshan Alam

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Near-infrared spectroscopy and accelerated ageing in evaluating the vigour of lentil seeds by Marcelo Augusto Rocha Limão, Denise Cunha Fernandes dos Santos Dias, Warley Marcos Nascimento, Bruno Gomes de Noronha, Júlia Martins Soares, Laércio Junio da Silva

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Knowledge-Based Deep Learning for Time-Efficient Inverse Dynamics by Shuhao Ma, Yu Cao, Ian D. Robertson, Chaoyang Shi, Jindong Liu, Zhi-Qiang Zhang

“…Experimental validations on two datasets, including one benchmark upper limb movement dataset and one self-collected lower limb movement dataset from six healthy subjects, are performed. …”
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Non-Destructive Estimation of Paper Fiber Using Macro Images: A Comparative Evaluation of Network Architectures and Patch Sizes for Patch-Based Classification by Naoki Kamiya, Kosuke Ashino, Yasuhiro Sakai, Yexin Zhou, Yoichi Ohyanagi, Koji Shibazaki

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How Does Landscape Structure Affect Dung Beetle Assemblages in Amazon Cities? by Vanessa Pontes Mesquita, Glenda Vanessa dos Santos Bernardino, Paulo Estefano Dineli Bobrowiec, Renato Portela Salomão, Cintia Cornelius

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Bioinformatic Analysis Reveals Central Role for Tumor-Infiltrating Immune Cells in Uveal Melanoma Progression by Mieszko Lachota, Anton Lennikov, Karl-Johan Malmberg, Radoslaw Zagozdzon

“…We have chosen the TCGA-UVM cohort as a training dataset and GSE22138 as a testing dataset by mining publicly available databases. …”
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Cardiac Effects of Thyrotropin Oversuppression with Levothyroxine in Young Women with Differentiated Thyroid Cancer by Kyung-Soon Hong, Jung-Woo Son, Ohk Hyun Ryu, Moon-Gi Choi, Ji Yeon Hong, Seong Jin Lee

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A practical object detection-based multiscale attention strategy for person reidentification by Bin Zhang, Zhenyu Song, Xingping Huang, Jin Qian, Chengfei Cai

“…Extensive experimental results demonstrate that the proposed method achieves a mean average precision (mAP) value of 90.1% and a Rank-1 accuracy of 97.2% on the Market-1501 dataset, as well as an mAP of 82.3% and a Rank-1 accuracy of 91.4% on the DukeMTMC-reID dataset. …”
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DESNet: Real-time human pose estimation for sports applications combining IoT and deep learning by Rongbao Huang, Bo Zhang, Zhixin Yao, Bojun Xie, Jia Guo

“…Experimental results show that DESNet achieves an average precision (AP) of 74.8% on the COCO dataset and a PCKh (Percentage of Correct Keypoints with head-normalized) of 90.9% on the MPII dataset, outperforming existing lightweight models. …”
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Long-term monitoring of plant diversity data in the “Montagna di Torricchio” Strict Nature Reserve, Italyb2share - EUDAT by Marco Cervellini, Leonardo Salvatori, Stefano Chelli, Federico Maria Tardella, Alessandro Chiarucci, James L. Tsakalos, Giandiego Campetella, Maura Francioni, Luciano Ludovico Maria De Benedictis, Roberto Canullo

“…Long-term monitoring is pivotal for the collection of data capable of unravelling spatio-temporal changes in plant diversity. Here we present a dataset including plant presence and abundance data collected using a probabilistic sampling design in the “Montagna di Torricchio” Strict Nature Reserve, central Apennines, Italy. …”
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Uncovering glycolysis-driven molecular subtypes in diabetic nephropathy: a WGCNA and machine learning approach for diagnostic precision by Chenglong Fan, Guanglin Yang, Cheng Li, Jiwen Cheng, Shaohua Chen, Hua Mi

“…An unsupervised consensus clustering of DN samples from the same dataset was conducted based on differentially expressed GRGs. …”
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Data on full stationary wave-field measurement of a suspended steel plate punctually loadedMendeley Data by Xuefeng Li, Thomas Brion, Pascal Fossat, Mohamed Ichchou, Olivier Bareille, Abdel-Malek Zine

“…The dataset presented contains the experimental structural response, in the frequency domain, of a suspended steel plate to a point force excitation. …”
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Assessment of Beach Slope and Sediment Grain Size Anywhere in the World: Review of Existing Formulae, Integration of Tidal Influence, and Perspectives from Satellite Observations by Amélie Arias, Rafael Almar, Vincent Regard, Erwin W. J. Bergsma, Bruno Castelle, Thierry Garlan

“…Here, we review the existing prediction formulas relating beach slope to grain size and wave conditions, using publicly available global datasets and comparing them with a benchmark dataset of ground measurements from different authors worldwide. …”
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ZooCNN: A Zero-Order Optimized Convolutional Neural Network for Pneumonia Classification Using Chest Radiographs by Saravana Kumar Ganesan, Parthasarathy Velusamy, Santhosh Rajendran, Ranjithkumar Sakthivel, Manikandan Bose, Baskaran Stephen Inbaraj

“…The model was trained, tested, and validated on the Kaggle CXR Images (Pneumonia) dataset. The ZooCNN achieved an accuracy of 97.27%, a sensitivity of 97.00%, a specificity of 98.60%, and an F1 score of 97.03%. …”
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Exploration of transfer learning techniques for the prediction of PM10 by Michael Poelzl, Roman Kern, Simonas Kecorius, Mario Lovrić

“…To address this, techniques like transfer learning (TL) leverage knowledge from a model trained on a rich dataset to enhance one trained on a sparse dataset, provided there are similarities in data distribution. …”
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Multi-Relational Graph Representation Learning for Financial Statement Fraud Detection by Chenxu Wang, Mengqin Wang, Xiaoguang Wang, Luyue Zhang, Yi Long

“…We build a real-world dataset from the annual financial statement of listed companies in China. …”
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