A Bayesian latent gaussian model with time-varying spatial weight matrices: Application to mod-eling the impact of multi-pollutant exposure on tuberculosis by I Gede Nyoman Mindra Jaya, Yudhie Andriyana, Bertho Tantular, Farah Kristiani

Get full text

Caledonian reactivation and reworking of Timanian thrust systems and implications for latest Mesoproterozoic to mid-Paleozoic tectonics and magmatism in northern Baltica [version 2... by Eirik Stokmo, Jean-Baptiste P. Koehl

“…Methods The present study provides a more definitive answer about the continuation of Trollfjorden–Komagelva Fault Zone west of the Varanger Peninsula by using seismic reflection, bathymetric, topographic, and magnetic data onshore Finnmark and offshore on the Finnmark Platform. …”
Get full text

An open-label multicenter observational study (registry) of patients recovered from coronavirus disease 2019 (COVID-19) with involvement of the cardiovascular system or with baseli... by A. O. Konradi, S. V. Villevalde, D. V. Duplyakov, A. V. Kozlenok, O. V. Melnik, E. N. Mikhailov, O. M. Moiseeva, A. O. Nedoshivin, A. E. Soloveva, V. A. Fokin, A. N. Yakovlev, G. P. Arutyunov, Yu. N. Belenkov, E. V. Shlyakho

“…The article presents its rationale, design and implications of the results for clinical practice.…”
Get full text

A case study on canola (Brassica napus L.) potential yield prediction using remote sensing imagery and advanced data analytics by Nitin Rai, Harsh Pathak, Maria Villamil Mahecha, Dennis R. Buckmaster, Yanbo Huang, Paul Overby, Xin Sun

“…Canola (Brassica napus L.) yield prediction using a combined application of small unmanned aerial system (sUAS) and vegetation indices (VIs) have gained significant attention. …”
Get full text

Unveiling the effects of big data analytic capability on improving healthcare supply chain resilience: An integrated MCDM with spherical fuzzy information approach by Detcharat Sumrit

“…The objective of this study is to investigate the critical role of big data analytics capability (BDAC) in improving the resilience of healthcare supply chains. …”
Get full text

The data-driven localized wave solutions of KdV-type equations via physics-informed neural networks with a priori information by Zhi-Ying Feng, Xiang-Hua Meng, Xiao-Ge Xu

Get full text

Estrogenic activity of mixtures in the Salish Sea: The use of high throughput toxicity data with chemical information from fish bile and other matrices. by Maya Faber, C Andrew James, Louisa B Harding, Denis A M da Silva, Ruth M Sofield

“…In this study, the estrogenic activity of mixtures was assessed with in vitro high throughput data, which expanded the number of chemicals included in the evaluation. …”
Get full text

Calibration of Electron Microscopes Through Deep Learning and Bayesian Optimization by Jilles S. van Hulst, Roy A. C. van Zuijlen, Narges Javaheri, Maurits Diephuis, Duarte J. Antunes, W. P. M. H. Heemels

Get full text

Assessing the accuracy of adherence and sexual behaviour data in the MDP301 vaginal microbicides trial using a mixed methods and triangulation model. by Robert Pool, Catherine M Montgomery, Neetha S Morar, Oliver Mweemba, Agnes Ssali, Mitzy Gafos, Shelley Lees, Jonathan Stadler, Andrew Nunn, Angela Crook, Richard Hayes, Sheena McCormack

“…Women reported more sex, gel and condom use than their partners. IDI data on adherence match the applicator-return data more closely than the CRF. …”
Get full text

Organization of management and structure in local networks internet of things by U. A. Vishniakou, A. H. Al-Masri, S. K. Al-Haji

“…The decisionmaking subsystem will issue data on milk quality to the farm administrator on a mobile device. …”
Get full text

ICT Adoption in Education: Unveiling Emergency Remote Teaching Challenges for Students with Functional Diversity Through Topic Identification in Modern Greek Data by Katia Lida Kermanidis, Spyridon Tzimiris, Stefanos Nikiforos, Maria Nefeli Nikiforos, Despoina Mouratidis

“…The findings revealed the impact of linguistic complexity on topic modeling and highlighted the educational implications of analyzing qualitative data in this context. …”
Get full text

An Interpretable Machine Learning-Based Hurdle Model for Zero-Inflated Road Crash Frequency Data Analysis: Real-World Assessment and Validation by Moataz Bellah Ben Khedher, Dukgeun Yun

“…These findings have significant implications for traffic safety research and policymaking, offering stakeholders a more accurate and interpretable tool for crash data analysis to develop targeted safety interventions.…”
Get full text

A Two-Stage Sequential Framework for Traffic Accident Post-Impact Prediction Utilizing Real-Time Traffic, Weather, and Accident Data by Amirhossein Abdi, Seyedehsan Seyedabrishami, Steve O’Hern

Get full text

Heavy metal adsorption efficiency prediction using biochar properties: a comparative analysis for ensemble machine learning models by Zaher Mundher Yaseen, Farah Loui Alhalimi

“…At the first stage, data processing was performed including outliers’ removal and scaling for better data modeling applicability; whereas, in the second stage the predictive models were conducted. …”
Get full text

Large-Scale Urban 3D Geological Modeling Based on Multi-Method Coupling Under Multi-Source Heterogeneous Data Conditions by Jixiang Zhu, Xiaoyuan Zhou, Lizhong Zhang

“…By utilizing the standardized stratigraphy as a unified and independent geological framework for layered modeling, a high-precision 3D geological model of Wuhan’s MDA, characterized by large-scale and ultra-complex geological conditions, is constructed through a methodology that integrates the global discrete constrained points modeling approach with the global layered modeling approach, without generalizing the multi-source heterogeneous modeling data. This research not only holds significant practical implications for the prevention and control of comprehensive urban geological issues in Wuhan but also provides novel technical insights into the methodology of 3D urban geological modeling.…”
Get full text

VSL-Gravity in light of PSR B1913+16 full data set: Upper limits on graviton mass and its theoretical consequences by Alexander Bonilla, Alessandro Santoni, Rafael C. Nunes, Jackson Levi Said

Get full text

Modeling the Impact of Between-lot and Within-lot Variability in Listeria monocytogenes Contamination on Risk Reduction From Sampling Ready-to-eat Foods by Yuhuan Chen, Régis Pouillot, Jane M. Van Doren

“…Data and model inputs included the prevalence and levels of L. monocytogenes, sampling plan parameters, and operating characteristic curve data. …”
Get full text

L-isoleucine doped Creatininium Benzene Sulphonate organic single crystals: Insight into charge carrier dynamics and sensor applications by C. Ramajeya, K. Balasubramanian

“…The study underscores the role of charge transfer dynamics in optimizing nonlinear optical materials for photonic integrated circuits, biosensors, and energy-efficient optoelectronic devices through quantum tunnelling confirmed by Eyring Transmission co-efficient using TG/DTA and Cyclic voltammetry datas. Quantum effect Coupled with strong nonlinear optical stability such as improved SHG and high LDT after doping, it serves as a valuable candidate for optical robustness applications.…”
Get full text

High-Quality Road Detection Using U-Net-Based Semantic Segmentation with High-Resolution Orthophotos and DSM Data in Urban Environments by M. Fawzy, M. Fawzy, A. Juhász, A. Barsi

“…Road detection and recognition from high-resolution geospatial data in urban environments is critical for numerous applications, including urban planning, navigation systems, and automated driving technologies. …”
Get full text

Preparation for Entering a Higher Educational Institution as an Investment Project by V. A. Kataeva, V. R. Masalkina, A. A. Ponomareva

“…It also includes the collection and analysis of a statistical set of data and the development of a mechanism for choosing a training method with the available data about the applicant through neural network modeling.Results. …”
Get full text