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Deep learning-based multimodal data fusion in bone tumor management: Advances in clinical decision support

Tongtong Huo, Wei Wu, Xiaoliang Chen, Mingdi Xue et al. • Intelligent Oncology (2025)

Bone tumors (BTs)—including osteosarcoma, Ewing sarcoma, and chondrosarcoma—are rare but biologically complex malignancies characterized by pronounced heterogeneity in anatomical location, histological subtype, and molecular alterations. Re...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.intonc.2025.06.005

G-Aligner: a graph-based feature alignment method for untargeted LC–MS-based metabolomics

Ruimin Wang, Miaoshan Lu, Shaowei An, Jinyin Wang et al. • BMC Bioinformatics (2023)

Abstract Background Liquid chromatography–mass spectrometry is widely used in untargeted metabolomics for composition profiling. In multi-run analysis scenarios, features of each run are aligned into consensus features by feature alignment ...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12859-023-05525-4

Effects of chronic taurine administration on healthy pregnant rats and the consequences on the offspring: Datasets for motor tests and oxidative stress

Viridiana Vargas-Castro, Ricardo Gomez-Diaz, Victor M. Blanco-Alvarez, Constantino Tomas-Sanchez et al. • Data in Brief (2022)

We present the data for taurine (2-aminoethanesulfonic acid) treatment to healthy pregnant Sprague Dawley rats (SD). At embryonic day 15 (E15), healthy pregnant SD rats were given taurine treatment (50 mg/L drinking water) and then to their...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dib.2022.108015

The deep learning applications in IoT-based bio- and medical informatics: a systematic literature review

Zahra Amiri, Arash Heidari, Nima Jafari Navimipour, Mansour Esmaeilpour et al. • Neural Computing and Applications (2024)

Abstract Nowadays, machine learning (ML) has attained a high level of achievement in many contexts. Considering the significance of ML in medical and bioinformatics owing to its accuracy, many investigators discussed multiple solutions for ...

OPENALEX cc-by DOI: https://doi.org/10.1007/s00521-023-09366-3

Exploring feature selection and classification methods for predicting heart disease

Robinson Spencer, Fadi Thabtah, Neda Abdelhamid, Michael Thompson • Digital Health (2020)

Machine learning has been used successfully to improve the accuracy of computer-aided diagnosis systems. This paper experimentally assesses the performance of models derived by machine learning techniques by using relevant features chosen b...

DOAJ Open Access (DOAJ) DOI: 10.1177/2055207620914777

A novel and accelerated method for integrated alignment and variant calling from short and long reads

Jinnan Hu, Donald Freed, Hanying Feng, Hong Chen et al. • Frontiers in Bioinformatics (2026)

BackgroundIntegrating short- and long-read sequencing technologies has become a promising approach for achieving accurate and comprehensive genomic analysis. Although short-read sequencing (Illumina, etc.) offers high base accuracy and cost...

DOAJ Open Access (DOAJ) DOI: 10.3389/fbinf.2025.1691056

Datasets associated with investigating the potential for beneficial reuse of produced water from oil and gas extraction outside of the energy sector

Bridget R. Scanlon, Robert C. Reedy, Pei Xu, Mark Engle et al. • Data in Brief (2020)

The data in this report are associated with https://doi.org/10.1016/j.scitotenv.2020.137085 [4] and include data on water volumes and water quality related to the major unconventional oil and gas plays in the U.S. The data include volumes o...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dib.2020.105406

Fusing content and social relationships: a multi-modal heterogeneous graph transformer approach for social bot detection

Jianhong Luo, Chaoqi Jin • EPJ Data Science (2025)

Abstract Social bots pose a significant threat to online platforms, demanding robust methods to detect their increasingly complex behaviors. This paper introduces MM-HGT-Bot, a multi-modal framework that advances the field by operationalizi...

DOAJ Open Access (DOAJ) DOI: 10.1140/epjds/s13688-025-00583-5

Solar spectra datasets at optimum and vertical installation angles in central Europe (Berlin) during 2020, 2021 and 2022

Guillermo A. Farias-Basulto, Maximilian Riedel, Mark Khenkin, Rutger Schlatmann et al. • Data in Brief (2023)

This article provides datasets containing three years worth of solar spectra for the optimum installation angle of 35° and the building-integrated-photovoltaics relevant vertical angle of 90°. These datasets were obtained by measuring the s...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dib.2023.109273

Noninvasive aspergillosis following COVID-19 exacerbates the severity of SARS-CoV-2 infection

Jong Seung Kim, Jun Hyung Park, Juhyun Kim, Yong Chul Lee et al. • International Journal of Infectious Diseases (2026)

Objectives: Few large-scale population-based studies have examined the association between COVID-19 and respiratory aspergillosis. Using nationwide data, we investigated whether SARS-CoV-2 infection increases respiratory aspergillosis incid...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.ijid.2026.109095

Subjective wellbeing and mental health during the COVID-19 pandemic: Data from three population groups in Colombia

Lina Martínez, Isabella Valencia, Valeria Trofimoff • Data in Brief (2020)

This paper presents three data sets about the consequences of COVID-19 pandemic on mental health and subjective wellbeing in Colombia for three population subgroups: adults (+18 years old), college students, and informal workers. The data w...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dib.2020.106287

Investigating the genetic makeup of the major histocompatibility complex (MHC) in the United Arab Emirates population through next-generation sequencing

Nour al dain Marzouka, Halima Alnaqbi, Amira Al-Aamri, Guan Tay et al. • Scientific Reports (2024)

Abstract The Human leukocyte antigen (HLA) molecules are central to immune response and have associations with the phenotypes of various diseases and induced drug toxicity. Further, the role of HLA molecules in presenting antigens significa...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-024-53986-1

IoT-enabled real-time outdoor monitoring of perovskite BIPV system under real climatic conditions

Shahzad Aman, Aimal Daud Khan, Fahad Sadaqat, Adnan Daud Khan et al. • Results in Engineering (2026)

This study presents a first-of-its-kind IoT-enabled outdoor investigation of perovskite Building-Integrated Photovoltaic (BIPV) subsystems under real environmental operating conditions at Peshawar, Pakistan. Two architecturally distinct per...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.rineng.2026.113915

Research on Dispersion Compensation of FD-OCT System via Pix2Pix GAN Technique

Eddy Wijanto, Hsu-Chih Cheng, Bo-Hong Liao, Chun-Ming Huang et al. • IEEE Access (2024)

Dispersion in optical coherence tomography (OCT) poses a challenge that is exacerbated by the increased spectral bandwidth, which leads to image blur and feature loss. In this paper, we present a straightforward and cost-effective approach ...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3368051

Low-proficiency students’ engagement with combined written and audio feedback in an EFL writing class

Listiani Listiani, Ágnes Hódi and Marianne Nikolov • Educational Technology & Society (2025)

In recent years, there has been an increase in research on English as a foreign language (EFL) learners’ engagement with teachers’ feedback; however, little is known about how students engage with feedback combining written and audio feedba...

DOAJ Open Access (DOAJ) DOI: https://doi.org/10.30191/ETS.202510_28(4).RP07

ZOTMPo–INAR(1) Process: Entropy and Modeling of Epidemiological Count Time Series Data

Manik Awale, Shrirang Pund, Hassan S. Bakouch, Aishwarya Ghodake et al. • Entropy (2026)

In this article, we propose a first-order integer-valued autoregressive (INAR(1)) model based on binomial thinning, in which the innovation sequence follows a zero–one–two-modified Poisson (ZOTMPo) distribution. The proposed model accommoda...

DOAJ Open Access (DOAJ) DOI: 10.3390/e28080889