Evaluation of Proteins Released to Medium in Yeast-Bacteria Co-culture System by Çağatay Tarhan, Ayşegül Yanık

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Policy Fragmentation, Women’s Land Rights and Governance in Zimbabwe by Newman Tekwa

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Prevalence and factors of physical punishment and psychological aggression toward children under five in Mongolia: an analysis of the 2018 Social Indicator Survey by Anujin Enkhbat, Seungman Cha, Ermias Tadesse Beyene, Yan Jin

“…Methods We used data from the nationally representative 2018 MICS6 dataset. To examine the association between independent and dependent variables, we used multilevel Poisson regression because it provides a better estimate and is more interpretable when the prevalence is relatively high. …”
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Enhancing lane detection in autonomous vehicles with multi-armed bandit ensemble learning by J. Arun Pandian, Ramkumar Thirunavukarasu, L. Thanga Mariappan

“…The foundation of the proposed MAB-Ensemble technique is inspired in terms of Multi-Armed bandit optimization to facilitate efficient model selection for lane segmentation. The benchmarking dataset namely TuSimple is used for training, validating and testing the proposed and existing lane detection techniques. …”
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Evaluating Children with Otitis Media for Bacteremia or Urinary Tract Infection by Daniel Yawman, Patrick Mahar, Aaron Blumkin, Gregory Conners

“…Cases of AOM were analyzed from the 2001–2004 National Hospital Ambulatory Medical Care Survey (NHAMCS)-Emergency Department dataset. Results. AOM was diagnosed in 17% of the 10,847 recorded visits of 2–36 month olds. …”
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Automatic Adaptive Algorithm for Delineation of Cerebral-Spinal Fluid Regions for Non-contrast Magnetic Resonance Imaging Volumetry and Cisternography in Mice by Ryszard Gomolka

“…Despite the increasing use of artificial neural networks in image analysis, this analytical approach provides robustness, especially when the dataset is insufficiently small and limited for training the network. …”
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Rapid Screening and Quantitative Determination of Active Components in Qing-Hua-Yu-Re-Formula Using UHPLC-Q-TOF/MS and HPLC-UV by Xin Shao, Jie Zhao, Xu Wang, Yi Tao

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One Size Does Not Fit All: Face Emotion Processing Impairments in Semantic Dementia, Behavioural-Variant Frontotemporal Dementia and Alzheimer’s Disease Are Mediated by Distinct Co... by Laurie A. Miller, Sharpley Hsieh, Suncica Lah, Sharon Savage, John R. Hodges, Olivier Piguet

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Transformer-Based Model for Monocular Visual Odometry: A Video Understanding Approach by Andre O. Francani, Marcos R. O. A. Maximo

“…Our approach achieved competitive state-of-the-art performance compared with geometry-based and deep learning-based methods on the KITTI visual odometry dataset, outperforming the DeepVO implementation highly accepted in the visual odometry community. …”
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A GIS based spatiotemporal modelling approach for cycling risk mapping using crowd-sourced sensor data by Bakhtiar Feizizadeh, Davoud Omarzadeh

“…The major objective of this study is to apply integrated data-driven methods to estimate cyclist risk and discomfort in Berlin based on the OpenSenseMap dataset. The proposed approach makes use of crowd-sourced sensor data collected during cycling (speed, bike vibration, distance to other objects), spatial statistics and multi-criteria decision analysis to provide a continuous estimation of cycling discomfort and risk in the traffic network. …”
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3D Imaging of Dead Sea Area Using Weighted Multipath Summation: A Case Study by Shemer Keydar, Benjamin Medvedev, Abdallah Al-Zoubi, Michael Ezersky, Emad Akkawi

“…A recently developed 3D imaging approach was applied to this 3D dataset. Imaging of subsurface is performed by a spatial summation of seismic waves along time surfaces using recently proposed multipath summation with proper weights. …”
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Fullerene nanosheets for surface-enhanced Raman spectroscopy by Linchangqing Yang, Yahui Li, Wei Liu, Junhao Zhang, Qinghong Kong, Guangcheng Xi

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A Joint Deep Recommendation Framework for Location-Based Social Networks by Omer Tal, Yang Liu

“…Our proposed network is evaluated over the Yelp dataset and found to outperform multiple state-of-the-art baselines in terms of accuracy, mean squared error, precision, and recall. …”
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Movements Execution in Amnestic Mild Cognitive Impairment and Alzheimer’s Disease by Rosolino Camarda, Cecilia Camarda, Roberto Monastero, Silvia Grimaldi, Lawrence K. C. Camarda, Carmela Pipia, Carlo Caltagirone, Massimo Gangitano

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Characterization of Health Status of Diabetic Population in the Area 2, Cienfuegos by Lister Garriga González, Midelsy Sánchez Nápoles, María de los Ángeles Vázquez Padrón

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A Dual-Path Neural Network for High-Impedance Fault Detection by Keqing Ning, Lin Ye, Wei Song, Wei Guo, Guanyuan Li, Xiang Yin, Mingze Zhang

“…The experimental results demonstrate that our method achieves a 99.70% recognition accuracy on a dataset comprising high-impedance faults, capacitor switching, and load connections. …”
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Fondation d’une mémoire familiale dans la cité des Namnètes : le mausolée antique des Pellières à Saint-Herblain (Loire-Atlantique) by Frédéric Mercier

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Ulnar variance detection from radiographic images using deep learning by Sahar Nooh, Abdelrahim Koura, Mohammed Kayed

“…The essential contribution of this work is collecting a dataset of fully annotated wrist radiographs that are specific to this topic, which can be used as a resource to train and validate our models. …”
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Spatial and Temporal Variation in PBL Height over the Korean Peninsula in the KMA Operational Regional Model by Seung-Jae Lee, Juwon Lee, Steven J. Greybush, Minseok Kang, Joon Kim

“…The resulting dataset is then utilized to explore the seasonal patterns of horizontal PBLH distribution over the peninsula for one year. …”
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Improving catalysts and operating conditions using machine learning in Fischer-Tropsch synthesis of jet fuels (C8-C16) by Parisa Shafiee, Bogdan Dorneanu, Harvey Arellano-Garcia

“…Thus, this work introduces a machine learning (ML) framework to enhance Co/Fe-supported FTS catalysts and optimize their operating conditions for a better jet fuel selectivity. For this purpose, a dataset was implemented with 21 features, including catalyst structure, preparation method, activation procedure, and FTS operating parameters. …”
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