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3D Printing parameter optimisation combined with heat treatment for achieving high density and enhanced performance in refractory high-entropy alloys

Deyu Jiang, Miao Luo, Changxi Liu, Yashuo Zhang et al. • Virtual and Physical Prototyping (2025)

In this study, a Ti1.5Nb1Ta0.5Zr1Mo0.5 (TNTZM) high-entropy alloy was fabricated using laser powder bed fusion (LPBF). By integrating 63 sets of parameter trials with machine learning (ML) models, an optimised process window was identified,...

DOAJ Open Access (DOAJ) DOI: 10.1080/17452759.2025.2524524

Development of Representative Urban Driving Cycles for Congested Traffic Conditions in Guayaquil Using Real-Time OBD-II Data and Weighted Statistical Methods

Roberto López-Chila, Henry Abad-Reyna, Joao Morocho-Cajas, Pablo Fierro-Jimenez • Vehicles (2025)

Standardized driving cycles such as the FTP-75 fail to represent traffic conditions in cities like Guayaquil, where high congestion and varied driving behaviors are not captured by external models. This study aimed to develop representative...

DOAJ Open Access (DOAJ) DOI: 10.3390/vehicles7030095

Flexural Behaviour of Corroded RC Beams Strengthened with CFRCM: Refined Modelling, Parametric Analysis, and Design Assessment

Chaoqun Zeng, Jing-Pu Tang, Liangliang Wei, Miaochang Zhu et al. • Buildings (2026)

Reinforced concrete (RC) beams strengthened with carbon-fabric-reinforced cementitious matrix (CFRCM) systems have shown potential for restoring flexural performance, yet their effectiveness under different corrosion levels remains insuffic...

DOAJ Open Access (DOAJ) DOI: 10.3390/buildings16020377

Integrated-Hybrid Framework for Connected and Autonomous Vehicles Microscopic Traffic Flow Modelling

Ammar Jafaripournimchahi, Yingfeng Cai, Hai Wang, Lu Sun et al. • Journal of Advanced Transportation (2022)

In this study, a novel traffic flow modeling framework is proposed considering the impact of driving system and vehicle mechanical behavior as two different units on the traffic flow. To precisely model the behavior of Connected and Autonom...

DOAJ Open Access (DOAJ) DOI: 10.1155/2022/2253697

Sensitivity Analysis and Uncertainty Quantification of Nanoparticle Deposition from Tongue Morphological Variations

Tiancheng Yang, Xiuhua Si, Jinxiang Xi • Life (2024)

The human tongue has highly variable morphology. Its role in regulating respiratory flows and deposition of inhaled aerosols remains unclear. The objective of this study was to quantify the uncertainty of nanoparticle deposition from the va...

DOAJ Open Access (DOAJ) DOI: 10.3390/life14030406

The Numerical Solution of Fractional Parabolic Partial Integro-Differential Eequations by Gaussian and Inverse Multiquadric Radial Basis Functions

F. S. Aghaei Maybodi, M. H. Heydari, F. M. Maalek Ghaeini, M. H. Akrami • پژوهش‌های ریاضی (2021)

Introduction Many mathematical formulations of physical phenomena contain integro-differential equations. These equations arise in fluid dynamics, biological models, chemical kinetics, ecology, control theory of financial mathematics, aeros...

DOAJ Open Access (DOAJ)

Generating Daily High-Resolution Regional XCO<sub>2</sub> by Deep Neural Network and Multi-Source Data

Wenjie Tian, Lili Zhang, Tao Yu, Dong Yao et al. • Atmosphere (2024)

CO2 is one of the primary greenhouse gases impacting global climate change, making it crucial to understand the spatiotemporal variations of CO2. Currently, commonly used satellites serve as the primary means of CO2 observation, but they of...

DOAJ Open Access (DOAJ) DOI: 10.3390/atmos15080985

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

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

Modelling the adsorption of iron and manganese by activated carbon from teak and shea charcoal for continuous low flow

Worlanyo Kwadjo Siabi, Emmanuel Degraft-Johnson Owusu-Ansah, Helen Michelle Korkor Essandoh, Nana Yaw Asiedu • Water-Energy Nexus (2021)

Nearly 6494 boreholes with iron (Fe) and manganese (Mn) concentrations above permissible limits of 0.3 mg/L and 0.4 mg/L respectively in Ghana have been abandoned because of ineffective water treatment solutions. Activated carbon prepared f...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.wen.2021.02.001

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

Robustness analysis of a Continuous-Time Markov Jump Process model for herd behaviour under stochastic shocks

Samuel Kipsang Kaptum, Jane Aduda Akinyi, Philip Ngare, Amos Kipkorir Langat • Scientific African (2025)

Herd behaviour in socio-economic systems is characterised by asynchronous, stochastic decision-making that traditional models capture imperfectly. Discrete-time DTMCs impose fixed-tick synchrony and require binning, which distorts event tim...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.sciaf.2025.e03042

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

Metabolomic sweet spot clock predicts mortality and age-related diseases in the Canadian Longitudinal Study on Aging

Olga Vishnyakova, Joosung Min, Stephen Leach, Xiaowei Song et al. • Communications Medicine (2026)

Abstract Background Chronological age does not capture individual health or resilience. Advances in metabolomics have enabled development of molecular aging biomarkers that capture deviations between biological and chronological age, highli...

DOAJ Open Access (DOAJ) DOI: 10.1038/s43856-026-01375-2

Increased prevalence of loneliness and associated risk factors during the COVID-19 pandemic: findings from the Canadian Longitudinal Study on Aging (CLSA)

Susan A. Kirkland, Lauren E. Griffith, Urun Erbas Oz, Mary Thompson et al. • BMC Public Health (2023)

Abstract Background Older adults have been disproportionately impacted by COVID-19 and related preventative measures undertaken during the pandemic. Given clear evidence of the relationship between loneliness and health outcomes, it is impe...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12889-023-15807-4

Improved representation of laminar and turbulent sheet flow in subglacial drainage models

Tim Hill, Gwenn Elizabeth Flowers, Matthew James Hoffman, Derek Bingham et al. • Journal of Glaciology (2024)

Subglacial hydrology models struggle to reproduce seasonal drainage patterns that are consistent with observed subglacial water pressures and surface velocities. We modify the standard sheet-flow parameterization within a coupled sheet–chan...

DOAJ Open Access (DOAJ) DOI: 10.1017/jog.2023.103

Optimality conditions in multiobjective programming models with semi-infinite constraints using generalized (h,φ)-G-type I functions

Tareq Saeed, Vinay Singh, Savin Treanţă, Solomon Lalmalsawma • Results in Control and Optimization (2024)

In this paper, we introduce a new class of generalized (h,φ)-G-type I vector-valued functions, by combining the notions of (h,φ)-differentiable functions, G-invex functions, and type I functions. By using these new concepts, we formulate an...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.rico.2024.100395