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Showing 20 of 414 academic articles

The surface temperatures of Earth: steps towards integrated understanding of variability and change

C. J. Merchant, S. Matthiesen, N. A. Rayner, J. J. Remedios et al. • Geoscientific Instrumentation, Methods and Data Systems (2013)

Surface temperature is a key aspect of weather and climate, but the term may refer to different quantities that play interconnected roles and are observed by different means. In a community-based activity in June 2012, the EarthTemp Network...

DOAJ Open Access (DOAJ) DOI: 10.5194/gi-2-305-2013

Multi-gene phylogeny and morphological characters reveal seven new species of Micropsalliota (Agaricales, Agaricaceae) from southern China, with an updated key for the species distributed in China

Tian Gao, Hua Qu, Zai-Wei Ge • Mycology (2024)

Species of Micropsalliota generally grow in the tropics and are characterised by small, slender basidiomes, brown basidiospores, and cheilocystidia that vary in shape with capitate or subcapitate apex, and pigmented pileipellis. Based on mo...

DOAJ Open Access (DOAJ) DOI: 10.1080/21501203.2024.2323206

AI for identifying social norm violation

Yair Neuman, Yochai Cohen • Scientific Reports (2023)

Abstract Identifying social norms and their violation is a challenge facing several projects in computational science. This paper presents a novel approach to identifying social norm violations. We used GPT-3, zero-shot classification, and ...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-023-35350-x

FAM83A as a Potential Biological Marker Is Regulated by miR-206 to Promote Cervical Cancer Progression Through PI3K/AKT/mTOR Pathway

Li Rong, Haiyu Li, Zhaodong Li, Jing Ouyang et al. • Frontiers in Medicine (2020)

Background and Objective: Chemotherapy and radiotherapy are effective treatment options for cervical cancer (CC), but their efficacy is limited by short survival rate of about 5 years particularly for advance stage CC. Bioinformatics analys...

DOAJ Open Access (DOAJ) DOI: 10.3389/fmed.2020.608441

An integrated analysis of multiple datasets reveals novel gene signatures in human granulosa cells

Xhulio Dhori, Silvia Gioiosa, Stefania Gonfloni • Scientific Data (2024)

Abstract Granulosa cells (GCs) play crucial roles in oocyte maturation. Through gap junctions and extracellular vesicles, they mediate the exchange of molecules such as microRNAs and messenger RNAs. Different ovarian cell types exhibit uniq...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41597-024-03715-0

Correcting palindromes in long reads after whole-genome amplification

Sven Warris, Elio Schijlen, Henri van de Geest, Rahulsimham Vegesna et al. • BMC Genomics (2018)

Abstract Background Next-generation sequencing requires sufficient DNA to be available. If limited, whole-genome amplification is applied to generate additional amounts of DNA. Such amplification often results in many chimeric DNA fragments...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12864-018-5164-1

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

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

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