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A Novel Dual-Domain Filtering Method to Improve GNSS Performance Based on a Dynamic Model Constructed by TDCP

Fangchao Li, Jingxiang Gao, Nanshan Zheng, Cheng Pan et al. • IEEE Access (2020)

To overcome the strikes from the tremendous noise of pseudorange and the integer ambiguity of carrier phase observation, we developed a novel dual-domain filtering method that integrates the traditional observation- and an innovative positi...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2020.2990132

Evaluating Load-Conditional Convergence in Lithium-Ion Battery Degradation: A Matched-Group Statistical Framework

Nnamdi C. Aronwora, Chibuzo Nwabufo Okwuosa, Jang-Wook Hur • IEEE Access (2026)

The rate of capacity fade in a lithium-ion battery following a transition to a new discharge current is widely assumed to equal that of a battery that has always operated at the destination current, an implicit premise referred to here as l...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2026.3732470

Online Classification of Road Roughness Conditions with Vehicle Unsprung Mass Acceleration by Sliding Time Window

Zhongxing Li, Wenhao Yu, Xiaoli Cui • Shock and Vibration (2018)

Suspension control systems are in need for more information of road roughness conditions to improve their performance under different roads. Existing methods of gauging road roughness are limited, and they usually involve visual inspections...

DOAJ Open Access (DOAJ) DOI: 10.1155/2018/5131434

Identification of DDIT4 as a potential prognostic marker associated with chemotherapeutic and immunotherapeutic response in triple-negative breast cancer

Xuanzhao Chen, Zeyan Li, Meihua Liang, Ziyang Zhang et al. • World Journal of Surgical Oncology (2023)

Abstract Background Triple-negative breast cancer (TNBC) is the most heterogenous and aggressive subtype of breast cancer. Chemotherapy remains the standard treatment option for patients with TNBC owing to the unavailability of acceptable t...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12957-023-03078-7

The spatial allocation of population: a review of large-scale gridded population data products and their fitness for use

S. Leyk, S. Leyk, A. E. Gaughan, A. E. Gaughan et al. • Earth System Science Data (2019)

Population data represent an essential component in studies focusing on human–nature interrelationships, disaster risk assessment and environmental health. Several recent efforts have produced global- and continental-extent gridded populati...

DOAJ Open Access (DOAJ) DOI: 10.5194/essd-11-1385-2019

A Graph Neural Networks-Based Learning Framework With Hyperbolic Embedding for Personalized Tag Recommendation

Chunmei Zhang, Aoran Zhang, Li Zhang, Yonghong Yu et al. • IEEE Access (2024)

Learning high-quality representations of users, items, and tags from historical interactive data is crucial for personalized tag recommendation (PTR) systems. Currently, most PTR models are committed to learning representations from first-o...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2023.3347249

Trans-ethnic meta-analysis identifies new loci associated with longitudinal blood pressure traits

Mateus H. Gouveia, Amy R. Bentley, Hampton Leonard, Karlijn A. C. Meeks et al. • Scientific Reports (2021)

Abstract Genome-wide association studies (GWAS) have identified thousands of genetic loci associated with cross-sectional blood pressure (BP) traits; however, GWAS based on longitudinal BP have been underexplored. We performed ethnic-specif...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-021-83450-3

Botnet detection using graph-based feature clustering

Sudipta Chowdhury, Mojtaba Khanzadeh, Ravi Akula, Fangyan Zhang et al. • Journal of Big Data (2017)

Abstract Detecting botnets in a network is crucial because bots impact numerous areas such as cyber security, finance, health care, law enforcement, and more. Botnets are becoming more sophisticated and dangerous day-by-day, and most of the...

DOAJ Open Access (DOAJ) DOI: 10.1186/s40537-017-0074-7

Investigating late-time cosmology using Finsler-Randers geometry and Barthel connection: Observational constraints and implications

J. Praveen, S.K. Narasimhamurthy • Nuclear Physics B (2025)

In this study we explore cosmological anisotropies and dark energy using Finsler-Randers geometry, an extension of Riemannian geometry that incorporates directional dependence in the spacetime structure. We investigate whether Finslerian mo...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.nuclphysb.2025.116899

A compact model for the home healthcare routing and scheduling problem

Roberto Montemanni, Sara Ceschia, Andrea Schaerf • EURO Journal on Computational Optimization (2025)

Home healthcare has become more and more central in the last decades, due to the advantages it can bring to both healthcare institutions and patients. Planning activities in this context, however, presents significant challenges related to ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.ejco.2024.100101

DAF-UNet: Deformable U-Net with Atrous-Convolution Feature Pyramid for Retinal Vessel Segmentation

Yongchao Duan, Rui Yang, Ming Zhao, Mingrui Qi et al. • Mathematics (2025)

Segmentation of retinal vessels from fundus images is critical for diagnosing diseases such as diabetes and hypertension. However, the inherent challenges posed by the complex geometries of vessels and the highly imbalanced distribution of ...

DOAJ Open Access (DOAJ) DOI: 10.3390/math13091454

Mathematical Capabilities of ChatGPT

Simon Frieder, Luca Pinchetti, Chevalier Chevalier, Ryan-Rhys Griffiths et al. • neural information processing systems (2023)

We investigate the mathematical capabilities of two iterations of ChatGPT (released 9-January-2023 and 30-January-2023) and of GPT-4 by testing them on publicly available datasets, as well as hand-crafted ones, using a novel methodology. In...

OPENALEX Open Access DOI: https://doi.org/10.52202/075280-1205

Education of staff in preschool aged classrooms in child care centers and child outcomes: A meta-analysis and systematic review.

Olesya Falenchuk, Michal Perlman, Evelyn McMullen, Brooke Fletcher et al. • PLoS ONE (2017)

Staff education is considered key to quality of early childhood education and care (ECEC) programs. However, findings about associations between staff education and children's outcomes have been inconsistent. We conducted a systematic revie...

DOAJ Open Access (DOAJ) DOI: 10.1371/journal.pone.0183673

A game-theoretic sequential three-way decision using probabilistic rough sets and multiple levels of granularity

T. V. Soumya, M. K. Sabu • Discover Computing (2025)

Abstract The sequential three-way decision accepts additional information at each level and makes more accurate definite decisions with less uncertainty. This process can also be extended to two-way classification with the finer-grained inf...

DOAJ Open Access (DOAJ) DOI: 10.1007/s10791-025-09729-5

Neurotoxicity of PM<sub>2.5</sub>-Bound Multi-Pollutant Mixtures in Parkinson’s Disease: Exploring the <i>INPP5D</i>/SHIP1-PI3K-AKT Axis via an Integrative Multi-Omics Study

Lufei Chen, Chaoxian Dai, Zhenfang Wu, Yuhan Lin et al. • Journal of Xenobiotics (2026)

Accumulating epidemiological evidence links ambient PM2.5 exposure to elevated Parkinson’s disease (PD) risk, yet the neurotoxicity triggered by PM2.5 multi-pollutant mixtures under real co-exposure scenarios remains insufficiently elucidat...

DOAJ Open Access (DOAJ) DOI: 10.3390/jox16060184

Computable phenotype for real-world, data-driven retrospective identification of relapse in ANCA-associated vasculitis

Vladimir Tesar, Conor Judge, John Kelleher, Zdenka Hrušková et al. • RMD Open (2024)

Objective ANCA-associated vasculitis (AAV) is a relapsing-remitting disease, resulting in incremental tissue injury. The gold-standard relapse definition (Birmingham Vasculitis Activity Score, BVAS&gt;0) is often missing or inaccurate in re...

DOAJ Open Access (DOAJ) DOI: 10.1136/rmdopen-2023-003962

ACHENY: A standard Chenopodiaceae image dataset for deep learning models

Ahmad Heidary-Sharifabad, Mohsen Sardari Zarchi, Sima Emadi, Gholamreza Zarei • Data in Brief (2021)

This paper contains datasets related to the “Efficient Deep Learning Models for Categorizing Chenopodiaceae in the wild” (Heidary-Sharifabad et al., 2021). There are about 1500 species of Chenopodiaceae that are spread worldwide and often a...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dib.2021.107478

A pairwise residue contact area-based mean force potential for discrimination of native protein structure

Pezeshk Hamid, Eslahchi Changiz, Sadeghi Mehdi, Arab Shahriar et al. • BMC Bioinformatics (2010)

Abstract Background Considering energy function to detect a correct protein fold from incorrect ones is very important for protein structure prediction and protein folding. Knowledge-based mean force potentials are certainly the most popula...

DOAJ Open Access (DOAJ) DOI: 10.1186/1471-2105-11-16