Optimizing potato leaf disease recognition: Insights DENSE-NET-121 and Gaussian elimination filter fusion by Asif Raza, Abdul Hammed Pitafi, M. Kahsif Shaikh, Khaliq Ahmed

“…Three types of potato leaf classes called Early Blight, Healthy, and Late Blight are incorporated by Dataset which has been taken from the kaggle repository. …”
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The development of a CBT-informed approach to supporting type 2 diabetes self-management by Elné Visagie, Elné Visagie, Elmari Deacon, Rümando Kok, Rümando Kok

“…Two research studies formed the dataset, and categories and subcategories were identified. …”
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Structural and Biomechanical Corneal Differences between Type 2 Diabetic and Nondiabetic Patients by João N. Beato, João Esteves-Leandro, David Reis, Manuel Falcão, Vítor Rosas, Ângela Carneiro, Fernando Falcão Reis

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Digital Twin Framework Using Real-Time Asset Tracking for Smart Flexible Manufacturing System by Asif Ullah, Muhammad Younas, Mohd Shahneel Saharudin

“…The methodology utilizes the extensive “UJIIndoorLoc” dataset which consists of data from multiple floors and over 520 Wi-Fi access points. …”
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Application of Extreme Gradient Boosting Based on Grey Relation Analysis for Prediction of Compressive Strength of Concrete by Liyun Cui, Peiyuan Chen, Liang Wang, Jin Li, Hao Ling

“…Another highlight is that its performance was compared with the frequently used artificial neural network (ANN) and genetic algorithm-artificial neural network (GA-ANN) by using random dataset and the same testing datasets. For three same testing datasets, the average R2 values of ANN, GA-ANN, and XGBoost are 0.674, 0.829, and 0.880, respectively, indicating that XGBoost has the highest absolute fraction of variance (R2). …”
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Clinical and diagnostic study of ovine chronic progressive pneumonia (Maedi-Visna) in sheep of Basrah, Iraq by Kamal M. AlSaad, Ali J. Lafta, Mohand H. Lafta, Jihad A. Ahmed

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Integrated multi-omics analysis reveals the underlying molecular mechanism for the neurotoxicity of triclosan in zebrafish by Shasha Zhao, Yuhang Ling, Baohua Zhang, Danting Wang, Limei Sun

“…Hence, this study highlights a number of biomarkers for the risk assessment of TCS against non-target organisms, offering a reference dataset for the behavioral toxicity of TCS to zebrafish, and strengthening the early warning, management, and control of TCS pollution.…”
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Femoral Neck Shaft Angle in Men with Fragility Fractures by S. P. Tuck, D. J. Rawlings, A. C. Scane, I. Pande, G. D. Summers, A. D. Woolf, R. M. Francis

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Frequency and Texture Aware Multi-Domain Feature Fusion for Remote Sensing Scene Classification by Russo Ashraf, Kang-Hyun Jo

“…Furthermore, we construct a new remote scene dataset named ISL-RS50, which is significantly more challenging than the existing ones. …”
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GC-MS Analysis, Antimicrobial and Antioxidant Activities of Extracts of the Aerial Parts of <i>Conyza sumatrensis</i> by Olapeju O Aiyelaagbe, Stephen O Oguntoye, Abdulmumeen A Hamid, Adebola M Ogundare, David B Ojo, Ajibola Ajao, Nurudeen O Owolabi

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Can Serum Tenascin-C Be Used as a Marker of Inflammation in Patients with Dilated Cardiomyopathy? by Alyaa A. Kotby, Manal M. Abdel Aziz, Waleed M. El Guindy, Amira N. Moneer

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Motion feature extraction using magnocellular-inspired spiking neural networks for drone detection by Jiayi Zheng, Jiayi Zheng, Yaping Wan, Xin Yang, Hua Zhong, Minghua Du, Gang Wang, Gang Wang

“…To design and train the MG-SNN, we propose a new backpropagation method called Dynamic Threshold Multi-frame Spike Time Sequence (DT-MSTS), and establish a dataset for the training and validation of MG-SNN, effectively extracting and updating visual motion features. …”
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The Levels of Tumor Necrosis Factor-Alpha and Interleukin-6 in Patients with Isolated Coronary Artery Ectasia by Mustafa Aydin, Ishak Ozel Tekin, Sait Mesut Dogan, Nesligul Yildirim, Mehmet Arasli, Muhammet Rasit Sayin, Ziyaettin Aktop

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Regional Variation in Restorative Treatment Need among Finnish Young People by Saujanya Karki, Antti Kämppi, Tarja Tanner, Jari Päkkilä, Marjo Seppänen, Leo Tjäderhane, Vuokko Anttonen, Pertti Patinen

“…Georeferenced place of residence and income status were merged as information on provinces’ level in a dataset. The association between the outcome variable and explanatory variables was determined by using the generalized linear mixed model, and geomaps were constructed. …”
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Waveguide-Based All-Metal Near-Field Metasurfaces for Linearly and Circularly Polarized Beam Steering Antennas by Maira I. Nabeel, Muhammad U. Afzal, Khushboo Singh, Dushmantha N. Thalakotuna, Karu P. Esselle

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Evaluation of Prediction Models for the Capping and Breaking Force of Tablets Using Machine Learning Tools in Wet Granulation Commercial-Scale Pharmaceutical Manufacturing by Sun Ho Kim, Su Hyeon Han, Dong-Wan Seo, Myung Joo Kang

“…<b>Conclusions</b>: These findings indicate that TBF, friability, and capping occurrence were successfully modeled using machine learning with a large dataset by constructing regression and classification models. …”
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HiQ-FPAR: A High-Quality and Value-added MODIS Global FPAR Product from 2000 to 2023 by Kai Yan, Xinpei Yu, Jinxiu Liu, Jingrui Wang, Xiuzhi Chen, Jiabin Pu, Marie Weiss, Ranga B. Myneni

“…Available on Google Earth Engine and Zenodo, the HiQ-FPAR dataset offers 500 m and 5 km resolution at an 8-day interval from 2000 to 2023, supporting a wide range of FPAR applications.…”
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Age-related cerebral ventriculomegaly occurs in patients with primary ciliary dyskinesia by Franziska Eisenhuth, Joy E. Agbonze, Adam M. R. Groh, Jesse M. Klostranec, David A. Rudko, Jo Anne Stratton, Adam J. Shapiro

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Relation of Vitamin D levels with positive and negative symptoms of schizophrenia – A hospital based cross-sectional comparative study by Soumitra Ghosh, Bikashita Deka

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Intrusion detection in metaverse environment internet of things systems by metaheuristics tuned two level framework by Milos Antonijevic, Miodrag Zivkovic, Milica Djuric Jovicic, Bosko Nikolic, Jasmina Perisic, Marina Milovanovic, Luka Jovanovic, Mahmoud Abdel-Salam, Nebojsa Bacanin

“…A thorough analysis utilizing a real-world IoT network attacks dataset validates the proposed architecture’s efficacy in identification of the specific variants of malevolent assaults, that is a classic multi-class classification challenge. …”
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