The interplay of perceived benefit, perceived risk, and trust in Fintech adoption: Insights from Sub-Saharan Africa by Thomas Appiah, Veronica Venyo Agblewornu

“…We employ partial least squares-structural equation modelling (PLS-SEM) and fuzzy-set qualitative comparative analysis (FSQCA) techniques to analyse our dataset. The study identified economic benefits, performance expectancy, and effort expectancy as important enablers of Fintech adoption. …”
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Gastrointestinal Pathobionts in Pediatric Crohn’s Disease Patients by Rachel V. Purcell, Nadeem O. Kaakoush, Hazel M. Mitchell, John F. Pearson, Jacqueline I. Keenan

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Predicting wind power using LSTM, Transformer, and other techniques by Arun Kumar M, Rithick Joshua K, Sahana Rajesh, Caroline Dorathy Esther J, Kavitha Devi MK

“…Our approach utilized these models to predict wind power generation for the next 15 days, utilizing the SCADA Turkey dataset and Tata Power Poolavadi Data collected. We used R2 scores alongside traditional metrics like mean absolute error (MAE) and root mean square error (RMSE) to evaluate model performance. …”
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Real-Time Vehicle Detection and Air Pollution Estimation Using YOLOv9 by Hari Suparwito, Bernardus Galih Hersa Prakoso, Rosalia Arum Kumalasanti, Agnes Maria Polina

“…Once it was trained with a labeled dataset, the vehicle identification by YOLOv9 model was found to be quite satisfactory. …”
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Multilabel Image Annotation Based on Double-Layer PLSA Model by Jing Zhang, Da Li, Weiwei Hu, Zhihua Chen, Yubo Yuan

“…Experimental results demonstrate that our automatic image annotation model based on double-layer PLSA can achieve promising performance for labeling and outperform previous methods on standard Corel dataset.…”
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Evaluation of Interleukin-23 and Creatine Kinase –MB (CK-MB) Levels in Acute Coronary Syndrome Patients with COVID-19 in Baghdad City by Zahraa kareem Yaseen, Farhan Abood Risan, Suhad Hassan Aubaid

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Polymorphisms of ACMSD-TMEM163, MCCC1, and BCKDK-STX1B Are Not Associated with Parkinson’s Disease in Taiwan by Kuo-Hsuan Chang, Chiung-Mei Chen, Yi-Chun Chen, Hon-Chung Fung, Yih-Ru Wu

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Anti-Factor H Antibodies in Egyptian Children with Hemolytic Uremic Syndrome by Shereen Shawky, Hesham Safouh, Mona Gamal, Mohammed M. Abbas, Azza Aboul-Enein, Toshihiro Sawai, Yosra Fahmy, Heba Selim

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Application and Development Trend of Laser Technology in Food 3D Printing by TONG Qiang, XIAO Shuailei, JIANG Yu, DONG Xiuping, PANG Guibing

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Dynamiques spatiales récentes du Parc National du Banco (PNB) et stratégies de gestion communautaire durable de ses ressources forestières (District d’Abidjan en Côte d’Ivoire)... by Nakouma Sako, Gérard Beltrando

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Deep Learning Automated System for Thermal Defectometry of Multilayer Materials by A. S. Momot, R. M. Galagan, V. Yu. Gluhovskii

“…The defect classification (determining the type) error on the test dataset was 15.7 %. Developed system ensured determination of defect depth with a relative error of 3.2 %, as well as the defect thickness with a relative error of 3.5 %.…”
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Bayesian neural network modelling for estimating ecological footprints and blue economy sustainability across G20 nations by Muhammad Akhtar, Jian Xu, Umair Kashif, Kishwar Ali, Hafiz Muhammad Naveed, Muhammad Haris

“…The study applied Bayesian neural network (BNN), OLS, fixed effects, and a two-step generalized method of moments on the panel dataset of G20 countries over the period 2000 to 2021. …”
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Does Ménière's Disease in the Elderly Present Some Peculiar Features? by R. Teggi, A. Meli, M. Trimarchi, F. LiraLuce, M. Bussi

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Feeding Patterns and Xenomonitoring of Trypanosomes among Tsetse Flies around the Gashaka-Gumti National Park in Nigeria by Solomon Ngutor Karshima, Idris A. Lawal, Oluseyi Oluyinka Okubanjo

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Rough Set Approach toward Data Modelling and User Knowledge for Extracting Insights by Xiaoqun Liao, Shah Nazir, Junxin Shen, Bingliang Shen, Sulaiman Khan

“…The experimental setup of the proposed method is validated by using the dataset available in the UCI web repository. Results of the proposed study show that the model is effective and efficient with an accuracy of 96% for KNN, 87% for decision rules, 91% for decision trees, 85.04% for cross validation architecture, and 94.3% for local transfer function classifier. …”
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Face super-resolution via iterative collaboration between multi-attention mechanism and landmark estimation by Chang-Teng Shi, Meng-Jun Li, Zhi Yong An

“…Specifically, in the 8 $$\times $$ × super-resolution experiment, the PSNR/SSIM/LPIPS on CelebA dataset is 27.68dB/ 0.8112/0.0866, outperforming existing state-of-the-art methods in terms of both accuracy and visual quality.…”
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Context-Aware Dual-Task Deep Network for Concurrent Bone Segmentation and Clinical Assessment to Enhance Shoulder Arthroplasty Preoperative planning by Luca Marsilio, Andrea Moglia, Alfonso Manzotti, Pietro Cerveri

“…<italic>Results:</italic> Trained on a dataset of 571 patients, the model optimized segmentation and classification through transfer learning. …”
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Sentiment analysis of movie reviews: A flask application using CNN with RoBERTa embeddings by Biplov Paneru, Bipul Thapa, Bishwash Paneru

“…We provide a comprehensive overview of the creation and assessment of a convolutional learning model especially suited for sentiment analysis of movie reviews using a dataset of around 50k entries. The proposed approach preprocesses movie reviews, employs RoBERTa to generate rich contextual embeddings, and processes these embeddings through a simple yet effective R-CNN architecture. …”
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Acute Effects of Dark Chocolate on Physical Performance in Young Elite Soccer Players: A Pilot Study by Luca Benedetti, Federico Nigro, Marco Malaguti, Rocco Di Michele, Cristina Angeloni

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Decision Making Cognition in Primary Progressive Aphasia by Ezequiel Gleichgerrcht, Teresa Torralva, María Roca, Daniela Szenkman, Agustin Ibanez, Pablo Richly, Mariángeles Pose, Facundo Manes

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