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Epidemiology: Beyond the Basics

Robert McCarter • Medicine & Science in Sports & Exercise (2000)

Epidemiology: Beyond the BasicsAuthors: SZKLO, Moyses, MD, DrPH (Johns Hopkins Univ.); NIETO, F. Javier, MD, PhD (Johns Hopkins Univ.) Bibliographic Data: (ISBN: 0–8342-0618–8, Aspen Publishers, Inc., 2000, $55.00) 495 pages, soft cover Aud...

OPENALEX DOI: https://doi.org/10.1097/00005768-200006000-00031

Robust Resistive Switching Constancy and Quantum Conductance in High-k Dielectric-Based Memristor for Neuromorphic Engineering

Muhammad Ismail, Chandreswar Mahata, Myounggon Kang, Sungjun Kim • Nanoscale Research Letters (2022)

Abstract For neuromorphic computing and high-density data storage memory, memristive devices have recently gained a lot of interest. So far, memristive devices have suffered from switching parameter instability, such as distortions in resis...

DOAJ Open Access (DOAJ) DOI: 10.1186/s11671-022-03699-z

Deep Learning in Cybersecurity

Yadigar İmamverdiyev, Fargana J. Abdullayeva • International Journal of Cyber Warfare and Terrorism (2020)

In this article, a review and summarization of the emerging scientific approaches of deep learning (DL) on cybersecurity are provided, a structured and comprehensive overview of the various cyberattack detection methods is conducted, existi...

OPENALEX DOI: https://doi.org/10.4018/ijcwt.2020040105

Effect of Curcumin on Odontogenic/Osteogenic Differentiation of Dental Pulp Stem Cells

Masoud Seifi, Shirin Farivar, Malihe Sadat Mirhosseini, Atefe Ahmadvand • Regeneration, Reconstruction & Restoration (2020)

Introduction: Stem cells have gained great attention in tissue engineering and curcumin is a natural phenolic product that had showed some positive effects on these cells. The aim of this study was to evaluate the effect of curcumin on the ...

DOAJ Open Access (DOAJ) DOI: 10.22037/rrr.v5i.31127

Improved PageRank Algorithm Based on User Behavior and Topic Similarity in Microblog Environment

ZHU Haodong,DING Wenxue,YANG Lizhi,FENG Jiamei • Jisuanji gongcheng (2017)

Aiming at the theme drifting and the page weight splitting of traditional PageRank algorithm,an improved PageRank algorithm is proposed.In order to improve the user query efficiency and search quality,combined with the time feedback factor,...

DOAJ Open Access (DOAJ) DOI: 10.3969/j.issn.1000-3428.2017.05.029

Utility of Bone Marrow Cell Block in the Diagnosis of Haematological Disorders: A Cross-sectional Study

Hafsa Shabeer, Shankaran Rukmini Niveditha, Thejasvi Krishnamurthy, Gayathri Bilagali Ramdas • Journal of Clinical and Diagnostic Research (2026)

Introduction: The examination of Bone Marrow Aspirate (BMA) smears and Biopsies (BMBx) are well established in the diagnosis of various haematological and non-haematological disorders. While both techniques have unique advantages over the o...

DOAJ Open Access (DOAJ) DOI: 10.7860/JCDR/2026/81391.23576

A quantum fuzzy logic-enhanced evolutionary framework for energy-latency optimization in 6G Edge-IioT

Siavash Siavashian Rashidi, Ali Broumandnia, Abbas Mirzaei, Ramin Karimi • Scientific Reports (2026)

Abstract The transition toward 6G-enabled Industrial Internet of Things (IIoT) requires strict Ultra-Reliable Low-Latency Communication (URLLC), creating a fundamental trade-off with energy consumption. Orchestrating resources in dense, hyp...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-026-55177-6

Unraveling genetic diversity in ‘Foşa’ and ‘Yomra’ hazelnut accessions (Corylus avellana L.) using SSR markers and phenotypic analysis

Yusuf Bilgen, Yaşar Akça, Kenan Yıldız, Kubilay Yıldırım • Scientific Reports (2026)

Abstract The Foşa hazelnut variety is commonly cultivated in Türkiye and is often confused with the Yomra variety due to morphological similarities. This study aims to determine the phenological and pomological characteristics of the Foşa a...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-026-44863-0

Living standard and access to tetanus toxoid immunization among women in Bangladesh

Ummay Nayeema Islam, Kanchan Kumar Sen, Wasimul Bari • BMC Public Health (2022)

Abstract Background Although Bangladesh has an impressive track record in the reduction of maternal and child mortality, tetanus, a dreadful disease, impedes the way to achieve Sustainable Development Goal (SDG) in this respect. Sufficient ...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12889-022-13448-7

Shocklets and Short Large Amplitude Magnetic Structures (SLAMS) in the High Mach Foreshock of Venus

Glyn A. Collinson, Heli Hietala, Ferdinand Plaschke, Tomas Karlsson et al. • Geophysical Research Letters (2023)

Abstract Shocklets and short large‐amplitude magnetic structures (SLAMS) are steepened magnetic fluctuations commonly found in Earth's upstream foreshock. Here we present Venus Express observations from the 26th of February 2009 establishin...

DOAJ Open Access (DOAJ) DOI: 10.1029/2023GL104610

Evidence of aberrant anti-epstein-barr virus antibody response, though no viral reactivation, in people with post-stroke fatigue

Isobel C. Mouat, Li Zhu, Alperen Aslan, Barry W. McColl et al. • Journal of Inflammation (2024)

Abstract Background Fatigue is a common complication of stroke that has a significant impact on quality of life. The biological mechanisms that underly post-stroke fatigue are currently unclear, however, reactivation of latent viruses and t...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12950-024-00402-0

Meta-analysis of MitraClip and PASCAL for transcatheter mitral edge-to-edge repair

Mahmoud Balata, Mohamed Ibrahim Gbreel, Mohamed Hamouda Elkasaby, Marwa Hassan et al. • Journal of Cardiothoracic Surgery (2025)

Abstract Background Despite the promising results of both MitraClip and PASCAL systems for the treatment of mitral regurgitation (MR), there is limited data on the comparison of both systems regarding their safety and efficacy. We aim to co...

DOAJ Open Access (DOAJ) DOI: 10.1186/s13019-024-03218-4

Quantifying Gender Bias in Large Language Models Using Information-Theoretic and Statistical Analysis

Imran Mirza, Akbar Anbar Jafari, Cagri Ozcinar, Gholamreza Anbarjafari • Information (2025)

Large language models (LLMs) have revolutionized natural language processing across diverse domains, yet they also raise critical fairness and ethical concerns, particularly regarding gender bias. In this study, we conduct a systematic, mat...

DOAJ Open Access (DOAJ) DOI: 10.3390/info16050358

NeuroBlu, an electronic health record (EHR) trusted research environment (TRE) to support mental healthcare analytics with real-world data

Rashmi Patel, Miguel E Rentería, Soon Nan Wee, Rajagopalan Ramaswamy et al. • BMJ Open (2022)

Purpose NeuroBlu is a real-world data (RWD) repository that contains deidentified electronic health record (EHR) data from US mental healthcare providers operating the MindLinc EHR system. NeuroBlu enables users to perform statistical analy...

DOAJ Open Access (DOAJ) DOI: 10.1136/bmjopen-2021-057227

Displacement and Illumination Levels Effect on Short-distance Measurement Errors of Using a Camera

Eduardo D. Piedad Jr., Ricky B. Villeta • Recoletos Multidisciplinary Research Journal (2016)

Using a camera for measurement reading is simplified through the incorporation of computer vision application. The variations in the environment’s setting, however, may constitute to the occurrence of measurement errors. A study investigate...

DOAJ Open Access (DOAJ) DOI: https://doi.org/10.32871/rmrj1604.01.06

Machine and deep learning methods for radiomics

Michele Avanzo, Lise Wei, Joseph Stancanello, Martin Vallières et al. • Medical Physics (2020)

Radiomics is an emerging area in quantitative image analysis that aims to relate large-scale extracted imaging information to clinical and biological endpoints. The development of quantitative imaging methods along with machine learning has...

OPENALEX other-oa DOI: https://doi.org/10.1002/mp.13678 PMC: 8965689

Automated segmentation of brain metastases in T1-weighted contrast-enhanced MR images pre and post stereotactic radiosurgery

Hemalatha Kanakarajan, Wouter De Baene, Patrick Hanssens, Margriet Sitskoorn • BMC Medical Imaging (2025)

Abstract Background and purpose Accurate segmentation of brain metastases on Magnetic Resonance Imaging (MRI) is tedious and time-consuming for radiologists that could be optimized with deep learning (DL). Previous studies assessed several ...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12880-025-01643-y