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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

Assessment of polygenic architecture and risk prediction based on common variants across fourteen cancers

Yan Dora Zhang, Amber N. Hurson, Haoyu Zhang, Parichoy Pal Choudhury et al. • Nature Communications (2020)

In cancer many gene variants may contribute to disease etiology, but the impact of a given gene variant may have varied effect size. Here, the authors analyse summary statistics of genome-wide association studies from fourteen cancers, and ...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41467-020-16483-3

Seemingly unrelated time series model for forecasting the peak and short-term electricity demand: Evidence from the Kalman filtered Monte Carlo method

Frank Kofi Owusu, Peter Amoako-Yirenkyi, Nana Kena Frempong, Akoto Yaw Omari-Sasu et al. • Heliyon (2023)

In this extant paper, a multivariate time series model using the seemingly unrelated times series equation (SUTSE) framework is proposed to forecast the peak and short-term electricity demand using time series data from February 2, 2014, to...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.heliyon.2023.e18821

Active querying approach to epidemic source detection on contact networks

Martin Sterchi, Lorenz Hilfiker, Rolf Grütter, Abraham Bernstein • Scientific Reports (2023)

Abstract The problem of identifying the source of an epidemic (also called patient zero) given a network of contacts and a set of infected individuals has attracted interest from a broad range of research communities. The successful and tim...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-023-38282-8

Optimizing runoff prediction in plains river network areas: a hybrid XAJ-BP modelling framework with basin structure division

Xu Cheng, Shiqiang Wu, Jiangyu Dai, Xiufeng Wu et al. • Engineering Applications of Computational Fluid Mechanics (2026)

The plain water network area is characterized by its flat terrain and a dense crisscrossing of rivers. The runoff process in this region is significantly influenced by human activities, resulting in a complex relationship between water stor...

DOAJ Open Access (DOAJ) DOI: 10.1080/19942060.2026.2749141

Integration of Hydrological Model and Time Series Model for Improving the Runoff Simulation: A Case Study on BTOP Model in Zhou River Basin, China

Qintai Xiao, Li Zhou, Xin Xiang, Lingxue Liu et al. • Applied Sciences (2022)

Improving the accuracy of runoff simulations is a significant focus of hydrological science for multiple purposes such as water resources management, flood and drought prediction, and water environment protection. However, the simulated run...

DOAJ Open Access (DOAJ) DOI: 10.3390/app12146883

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

In-Situ Monitoring and Prediction of Frost Growth on Plant Leaves Based on Dielectric Spectrum Analysis and an SWT-SSA-LSTM Model

Huan Song, Lijun Wang, Yuguo Gao, Shuman Guo et al. • AgriEngineering (2026)

Accurate and in-situ monitoring of frost growth on plant leaves is crucial for disaster prevention in smart agriculture. To address the limitations of traditional methods in quantification and continuity, this study proposes a novel monitor...

DOAJ Open Access (DOAJ) DOI: 10.3390/agriengineering8020067

Study on Damage Behavior and Anti-Explosion Performance of Steel Fiber-Reinforced Cellular Concrete Under Underwater Contact Explosion

Hu Huang, Shubo Dai, Kelei Cao, Changxing Tang et al. • Buildings (2026)

To explore the damage mitigation mechanism of steel fiber-reinforced cellular concrete (SFR-CC) under underwater explosion loading, this study systematically analyzes two key variables: steel fiber volume fraction (0.5%, 1.0%, 1.5%, and 2.0...

DOAJ Open Access (DOAJ) DOI: 10.3390/buildings16101975

Effect of fire-source location on flame behavior and temperature distribution in subway carriages with multiple lateral openings

Xinyu Wang, Guoqing Zhu, Xuyao Qi, Guowei Zhang et al. • Case Studies in Thermal Engineering (2026)

Urban rail transit has been widely adopted to alleviate surface traffic congestion. However, subway fire safety remains a critical concern because of the confined carriage space, high occupant density, and complex ventilation conditions. Mo...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.csite.2026.108501

Evaluating the impact of urban traffic patterns on air pollution emissions in Dublin: a regression model using google project air view data and traffic data

Pavlos Tafidis, Mehdi Gholamnia, Payam Sajadi, Sruthi Krishnan Vijayakrishnan et al. • European Transport Research Review (2024)

Abstract Air pollution is a significant and pressing environmental and public health concern in urban areas, primarily driven by road transport. By gaining a deeper understanding of how traffic dynamics influence air pollution, policymakers...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12544-024-00671-z

Parabolic Equation Modeling of Propagation over Terrain Using Digital Elevation Model

Xiao-Wei Guan, Li-Xin Guo, Ya-Jiao Wang, Qing-Liang Li • International Journal of Antennas and Propagation (2018)

The parabolic equation method based on digital elevation model (DEM) is applied on propagation predictions over irregular terrains. Starting from a parabolic approximation to the Helmholtz equation, a wide-angle parabolic equation is deduce...

DOAJ Open Access (DOAJ) DOI: 10.1155/2018/1878307

Multi-jet merged top-pair production including electroweak corrections

Christian Gütschow, Jonas M. Lindert, Marek Schönherr • European Physical Journal C: Particles and Fields (2018)

Abstract We present theoretical predictions for the production of top-quark pairs in association with jets at the LHC including electroweak (EW) corrections. First, we present and compare differential predictions at the fixed-order level fo...

DOAJ Open Access (DOAJ) DOI: 10.1140/epjc/s10052-018-5804-2

Computational analysis of visible frequency plasmonic properties of graphene on wide band gap heterostructures

Muhammad Qamar, Ghulam Abbas, Meiyong Liao, Satoshi Koizumi et al. • Scientific Reports (2026)

Abstract Control over plasmonic properties and local electric field enhancement has become an essential aspect of many modern technologies. Here we investigate these phenomena in graphene / hexagonal boron nitride (G/h-BN) heterostructures ...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-026-40039-y

The Digital Transformation in Health: How AI Can Improve the Performance of Health Systems

África Periáñez, Ana Fernández Del Río, Ivan Nazarov, Enric Jané et al. • Health Systems & Reform (2024)

Mobile health has the potential to revolutionize health care delivery and patient engagement. In this work, we discuss how integrating Artificial Intelligence into digital health applications focused on supply chain operation, patient manag...

DOAJ Open Access (DOAJ) DOI: 10.1080/23288604.2024.2387138

Non-equilibrium finite temperature dynamics of magnetic quantum systems: applications to spin-polarized scanning tunneling microscopy

K Them, T Stapelfeldt, E Y Vedmedenko, R Wiesendanger • New Journal of Physics (2013)

We calculated the real-time non-equilibrium dynamics of quantum spin systems at finite temperatures. The mathematical framework originates from the C *-approach to quantum statistical mechanics and was applied to the samples investigated by...

DOAJ Open Access (DOAJ) DOI: 10.1088/1367-2630/15/1/013009

A hybrid technique to enhance the rainfall-runoff prediction of physical and data-driven model: a case study of Upper Narmada River Sub-basin, India

Sachin Kumar, Mahendra Kumar Choudhary, T. Thomas • Scientific Reports (2024)

Abstract Accurate streamflow prediction is crucial for effective water resource management and planning. This study aims to enhance streamflow simulation accuracy in the data-scarce Upper Narmada River Basin (UNB) by proposing a novel hybri...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-024-77655-5

Investigating the cost of mechanized unpaved road maintenance operations in Uganda

Andrew Moses Obeti, Lawrence Muhwezi, John Muhumuza Kakitahi, Chris Bic Byaruhanga • Transportation Research Interdisciplinary Perspectives (2024)

Force Account Mechanism (FAM) is the predominant road maintenance system in Uganda’s local government setup and a similar, though slightly different approach, is used in some large private sector agriculture plantations. With the Uganda Roa...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.trip.2024.101135