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Evaluating key predictors of breast cancer through survival: a comparison of AFT frailty models with LASSO, ridge, and elastic net regularization

Senyefia Bosson-Amedenu, Emmanuel Ayitey, Francis Ayiah-Mensah, Luyton Asare • BMC Cancer (2025)

Abstract Background Frailty models are extensively utilized in survival analysis to address unobserved heterogeneity among individuals. However, selecting the most robust model for survival prediction, especially in the context of high-dime...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12885-025-14040-z

Comprehensive analyses of m6A regulators and interactive coding and non-coding RNAs across 32 cancer types

Sipeng Shen, Ruyang Zhang, Yue Jiang, Yi Li et al. • Molecular Cancer (2021)

Abstract N6-Methyladenosine (m6A) is an RNA modification that interacts with numerous coding and non-coding RNAs and plays important roles in the development of cancers. Nonetheless, the clinical impacts of m6A interactive genes on these ca...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12943-021-01362-2

gllvm 2.0: fast fitting of advanced ordination methods and joint species distribution models

Pekka Korhonen, Francis K.C. Hui, Jenni Niku, Sara Taskinen et al. • PeerJ (2025)

Background Over the past decade, joint species distribution models (JSDMs) and model-based ordination have emerged as powerful tools for the analysis of community ecology data. Generalized linear latent variable models (GLLVMs) offer a flex...

DOAJ Open Access (DOAJ) DOI: 10.7717/peerj.20338

Modeling antiretroviral therapy adherence among people living with HIV: a cross-sectional study at Pantang Hospital, Ghana

Eric Nyarko, Irene A. Kretchy, Grace Lovia Allotey-Babington, Adwoa Oforiwaa Kwakye et al. • BMC Infectious Diseases (2026)

Abstract Background Poor adherence to antiretroviral therapy (ART) continues to undermine HIV treatment outcomes in sub-Saharan Africa, including Ghana. Objective This study aimed to quantify ART treatment adherence among people living with...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12879-026-13836-z

An artificial neural network-based model for predicting paratransit travel time

George Ukam, Charles Adams, Atinuke Adebanji, Williams Ackaah • Cogent Engineering (2024)

The nature of paratransit services makes for increased uncertainty in trip time, leading to reported unreliability and dissatisfaction by the users. While providing travel information has proved helpful in formal bus services and has been r...

DOAJ Open Access (DOAJ) DOI: 10.1080/23311916.2024.2386383

A robust and uncertainty-aware machine learning framework for PM2.5 prediction in a coastal urban Indian environment: implications for sustainable air quality management

Salvator Lawrence, Srimuruganandam Bhathmanabhan • Sustainable Environment Research (2026)

Abstract Accurate prediction of fine particulate matter (PM2.5) remains challenging because atmospheric processes are nonlinear, nonstationary, and influenced by temporal variability, measurement uncertainty, and episodic pollution events. ...

DOAJ Open Access (DOAJ) DOI: 10.1186/s42834-026-00296-y

Critical review of leachate pathways, groundwater contamination, and health risks in tropical urban aquifers

M. Bamini, R. K. Somashekar • Discover Environment (2026)

Abstract Rapid, under-serviced urbanization across the tropical belt has left many cities dependent on open dumps. These dumps and poorly engineered landfills often sit above shallow, heavily used aquifers. This review uses the Doddabidarak...

DOAJ Open Access (DOAJ) DOI: 10.1007/s44274-026-01021-7

RFID Applications and Security Review

Cesar Munoz-Ausecha, Juan Ruiz-Rosero, Gustavo Ramirez-Gonzalez • Computation (2021)

Radio frequency identification (RFID) is widely used in several contexts, such as logistics, supply chains, asset tracking, and health, among others, therefore drawing the attention of many researchers. This paper presents a review of the m...

DOAJ Open Access (DOAJ) DOI: 10.3390/computation9060069

Integrating Business Intelligence and Operations Research for Sustainable Supply Chain Systems: A Systematic Review

Rui Pedro Marques, Dorabella Santos • Systems (2025)

This systematic review explores how business intelligence (BI) and operations research (OR) help organizations ensure sustainable practices in supply chain management (SCM). Drawing on 56 peer-reviewed studies, this review synthesizes how B...

DOAJ Open Access (DOAJ) DOI: 10.3390/systems13121111

Securing Electric Vehicle Performance: Machine Learning-Driven Fault Detection and Classification

Mahbub Ul Islam Khan, Md. Ilius Hasan Pathan, Mohammad Mominur Rahman, Md. Maidul Islam et al. • IEEE Access (2024)

Electric vehicles (EVs) are commonly recognized as environmentally friendly modes of transportation. They function by converting electrical energy into mechanical energy using different types of motors, which aligns with the sustainable pri...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3400913

An Object-Based Image Analysis Method for Monitoring Land Conversion by Artificial Sprawl Use of RapidEye and IRS Data

Maud Balestrat, Stéphane Dupuy, Eric Barbe • Remote Sensing (2012)

In France, in the peri-urban context, urban sprawl dynamics are particularly strong with huge population growth as well as a land crisis. The increase and spreading of built-up areas from the city centre towards the periphery takes place to...

DOAJ Open Access (DOAJ) DOI: 10.3390/rs4020404

Reference vegetation for restoration? Three vegetation maps compared across 76 nature reserves in Uganda and Kenya

Jens‐Peter Barnekow Lillesø, Davide Barsotti, James Kalema, Paulo vanBreugel et al. • Ecosphere (2024)

Abstract Forest and landscape restoration are increasingly popular nature‐based solutions to mitigate climate change and safeguard biodiversity. Restoration planning and monitoring implies that a reference ecosystem has been defined to whic...

DOAJ Open Access (DOAJ) DOI: 10.1002/ecs2.70030

Pixel-Accurate Registration of Photogrammetric Images and LiDAR in a Hybrid Airborne Oblique Imaging System

D. Deng, R. Qin, R. Qin, E. M. Farella et al. • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2026)

Hybrid airborne imaging systems integrating oblique photogrammetric cameras and LiDAR sensors provide complementary geometric and radiometric information for high-fidelity 3D reconstruction. While LiDAR offers stable global geometric accura...

DOAJ Open Access (DOAJ) DOI: 10.5194/isprs-archives-XLIX-B2-2026-143-2026

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

LBT-YOLO: A Lightweight Road Targeting Algorithm Based on Task Aligned Dynamic Detection Heads

Pei Tang, Zhenyu Ding, Minnan Jiang, Weikai Xu et al. • IEEE Access (2024)

Autonomous driving technology plays a key role in addressing traffic safety issues and relieving traffic congestion by virtue of its capabilities of enabling accurate environmental perception and real-time response. Aiming at the problem of...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3509694

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