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Introduction to Probability and Statistics

Katherine Taylor Halvorsen, William M. Mendenhall, Robert J. Beaver • The American Statistician (1995)

Used by hundreds of thousands of students since its first edition, INTRODUCTION TO PROBABILITY AND STATISTICS continues to blend the best of its proven coverage with new innovations. While retaining the straightforward presentation and trad...

OPENALEX DOI: https://doi.org/10.2307/2684586

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

An Explainable AI-Driven Zero-Day Attack Detection Framework for Securing Edge Devices in Smart Cities

Santhiyakumari N., Sabarinathan S., Veerakumar S., Chandraman M. et al. • Journal of Cognitive Human-Computer Interaction (2025)

The rapid proliferation of edge computing in smart cities has enhanced real-time data processing capabilities, but it has also exposed critical vulnerabilities to sophisticated cyber threats such as zero-day attacks. Traditional signature-b...

DOAJ Open Access (DOAJ) DOI: 10.54216/JCHCI.100201

Experiential Learning: Innovative Approaches to Post-Secondary Cybersecurity Education

Brendan Bertone, Paul Wagner, Joshua Pauli • Journal of Cybersecurity Education, Research & Practice (2025)

The cybersecurity profession continues to face a significant shortfall of qualified professionals despite steady growth in degree programs. Employers consistently cite experience as the main barrier for entry-level cybersecurity hires. This...

DOAJ Open Access (DOAJ) DOI: 10.62915/2472-2707.1254

A Unified Transformer–BDI Architecture for Financial Fraud Detection: Distributed Knowledge Transfer Across Diverse Datasets

Parul Dubey, Pushkar Dubey, Pitshou N. Bokoro • Forecasting (2025)

Financial fraud detection is a critical application area within the broader domains of cybersecurity and intelligent financial analytics. With the growing volume and complexity of digital transactions, the traditional rule-based and shallow...

DOAJ Open Access (DOAJ) DOI: 10.3390/forecast7020031

Adversarial XAI Methods in Cybersecurity

Aditya Kuppa, Nhien‐An Le‐Khac • IEEE Transactions on Information Forensics and Security (2021)

Machine Learning methods are playing a vital role in combating ever-evolving threats in the cybersecurity domain. Explanation methods that shed light on the decision process of black-box classifiers are one of the biggest drivers in the suc...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1109/tifs.2021.3117075

Cybersecurity Essentials

Neya Global, Anna Neya Kazanskaia (2025)

Cybersecurity is critical for protecting the data, systems, and operations of non-profit organizations. This book introduces essential cybersecurity concepts, common threats, and best practices for safeguarding digital assets. It provides p...

OPENALEX Open Access DOI: https://doi.org/10.64357/cybersecurity-essentials-2025

COVID ‐19 pandemic cybersecurity issues

Bernardi Pranggono, Abdullahi Arabo • Internet Technology Letters (2020)

This paper studies the cybersecurity issues that have occurred during the coronavirus (COVID‐19) pandemic. During the pandemic, cyber criminals and Advanced Persistent Threat (APT) groups have taken advantage of targeting vulnerable people ...

OPENALEX cc-by DOI: https://doi.org/10.1002/itl2.247

Using Wireless Sensor Networks to Achieve Intelligent Monitoring for High-Temperature Gas-Cooled Reactor

Jianghai Li, Jia Meng, Xiaojing Kang, Zhenhai Long et al. • Science and Technology of Nuclear Installations (2017)

High-temperature gas-cooled reactors (HTGR) can incorporate wireless sensor network (WSN) technology to improve safety and economic competitiveness. WSN has great potential in monitoring the equipment and processes within nuclear power plan...

DOAJ Open Access (DOAJ) DOI: 10.1155/2017/3721578

Enhanced Intrusion Detection in Drone Networks: A Cross-Layer Convolutional Attention Approach for Drone-to-Drone and Drone-to-Base Station Communications

Mohammad Aldossary, Ibrahim Alzamil, Jaber Almutairi • Drones (2025)

Due to Internet of Drones (IoD) technology, drone networks have proliferated, transforming surveillance, logistics, and disaster management. Distributed Denial of Service (DDoS) attacks, malware infections, and communication abnormalities i...

DOAJ Open Access (DOAJ) DOI: 10.3390/drones9010046

The Evolution of Phytochemical and Medicinal Plant Research in Chile: Status, Opportunities, and Challenges

Gonzalo Fuentes-Barros, Sebastián Castro-Saavedra, Nicolás Montalva, Alejandro Vega-Muñoz et al. • Plants (2026)

Background: The global use of herbal medicines and research on plant bioactive compounds have steadily increased. In Chile, this growth is linked to ethnobotanical knowledge and advances in phytochemistry, although gaps persist in its evolu...

DOAJ Open Access (DOAJ) DOI: 10.3390/plants15142135

Artificial intelligence in public health: promises, challenges, and an agenda for policy makers and public health institutions

Димитра Пантели, Keyrellous Adib, Stefan Buttigieg, Francisco Goiana-da-Silva et al. • The Lancet Public Health (2025)

Artificial intelligence (AI) can rapidly analyse large and complex datasets, extract tailored recommendations, support decision making, and improve the efficiency of many tasks that involve the processing of data, text, or images. As such, ...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/s2468-2667(25)00036-2 PMC: 12040707

Graph neural networks for materials science and chemistry

Patrick Reiser, Marlen Neubert, André Eberhard, Luca Torresi et al. • Communications Materials (2022)

Machine learning plays an increasingly important role in many areas of chemistry and materials science, being used to predict materials properties, accelerate simulations, design new structures, and predict synthesis routes of new materials...

OPENALEX cc-by DOI: https://doi.org/10.1038/s43246-022-00315-6 PMC: 9702700

Accumulation of tissue-resident natural killer cells, innate lymphoid cells, and CD8+ T cells towards the center of human lung tumors

Demi Brownlie, Andreas von Kries, Giampiero Valenzano, Nicole Wild et al. • OncoImmunology (2023)

Lung cancer is a leading cause of cancer-related death worldwide. Despite recent advances in tissue immunology, little is known about the spatial distribution of tissue-resident lymphocyte subsets in lung tumors. Using high-parameter flow c...

DOAJ Open Access (DOAJ) DOI: 10.1080/2162402X.2023.2233402

S100A8/A9 increases the mobilization of pro-inflammatory Ly6Chigh monocytes to the synovium during experimental osteoarthritis

Niels A. J. Cremers, Martijn H. J. van den Bosch, Stephanie van Dalen, Irene Di Ceglie et al. • Arthritis Research & Therapy (2017)

Abstract Background Monocytes are dominant cells present within the inflamed synovium during osteoarthritis (OA). In mice, two functionally distinct monocyte subsets are described: pro-inflammatory Ly6Chigh and patrolling Ly6Clow monocytes....

DOAJ Open Access (DOAJ) DOI: 10.1186/s13075-017-1426-6

Importance of background threshold value development within risk‐based corrective action programs

Kenneth S. Tramm, Jason T. Minter, Catherine A. Seaton • Vadose Zone Journal (2024)

Abstract Risk‐based corrective action (RBCA) programs employ conservative models to develop default values for soil screening, which simplify the risk assessment process. However, for several naturally occurring metals (e.g., arsenic and le...

DOAJ Open Access (DOAJ) DOI: 10.1002/vzj2.20294

Does ESG Disclosure Help Improve Intangible Capital? Evidence From A-Share Listed Companies

Wu Jun, Zheng Shiyong, Zheng Shiyong, Tang Yi • Frontiers in Environmental Science (2022)

With the disclosure of ESG, the investment related to ESG disclosure has increased, and the trend of changes in intangible capital has shown an “inverted S-shaped” curve. The research shows that, in the initial stage of investment in ESG co...

DOAJ Open Access (DOAJ) DOI: 10.3389/fenvs.2022.858548

Change Detection for Hyperspectral Images Via Convolutional Sparse Analysis and Temporal Spectral Unmixing

Qingle Guo, Junping Zhang, Chongxiao Zhong, Ye Zhang • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021)

With the increase in the availability of multitemporal hyperspectral images (HSIs), HSIs change detection (CD) methods, including pixel-level and subpixel-level based methods, have attracted great attention in recent years. However, the wid...

DOAJ Open Access (DOAJ) DOI: 10.1109/JSTARS.2021.3074538