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Systematic Mapping Studies in Software Engineering

Kai Petersen, ROBERT H. FELDT, Shahid Mujtaba, Michael Mattsson • Electronic workshops in computing (2008)

BACKGROUND: A software engineering systematic map is a defined method to build a classification scheme and structure a software engineering field of interest. The analysis of results focuses on frequencies of publications for categories wit...

OPENALEX cc-by DOI: https://doi.org/10.14236/ewic/ease2008.8

Search-based software engineering

Mark Harman, S. Afshin Mansouri, Yuanyuan Zhang • ACM Computing Surveys (2012)

In the past five years there has been a dramatic increase in work on Search-Based Software Engineering (SBSE), an approach to Software Engineering (SE) in which Search-Based Optimization (SBO) algorithms are used to address problems in SE. ...

OPENALEX DOI: https://doi.org/10.1145/2379776.2379787

Evaluation of the implementation of International Classification of Diseases, 11th revision for morbidity coding: Rationale and study protocol

Reza Golpira, Zahra Azadmanjir, Javad Zarei, Nasim Hashemi et al. • Informatics in Medicine Unlocked (2021)

International Statistical Classification of Diseases and Related Health Problems, 10th Revision (ICD-10) has been used for many years in many countries to manage health information. The World Health Organization (WHO) will soon replace ICD-...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.imu.2021.100668

Quantum computing with neutral atoms

Loïc Henriet, Lucas Béguin, Adrien Signoles, Thierry Lahaye et al. • Quantum (2020)

The manipulation of neutral atoms by light is at the heart of countless scientific discoveries in the field of quantum physics in the last three decades. The level of control that has been achieved at the single particle level within arrays...

OPENALEX cc-by DOI: https://doi.org/10.22331/q-2020-09-21-327

ℤ<sub>2</sub> × ℤ<sub>2</sub> Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks

Zhongtian Dong, Marçal Comajoan Cara, Gopal Ramesh Dahale, Roy T. Forestano et al. • Axioms (2024)

This paper presents a comparative analysis of the performance of Equivariant Quantum Neural Networks (EQNNs) and Quantum Neural Networks (QNNs), juxtaposed against their classical counterparts: Equivariant Neural Networks (ENNs) and Deep Ne...

DOAJ Open Access (DOAJ) DOI: 10.3390/axioms13030188

P2′ Site Scanning of Snake Kunitz-Type Toxin Analogue BF9-N17H with Unique P1 Site Histidine Highlights Novel XIa Inhibitory Peptides Without Plasmin Inhibitory Activity

Luyao Wang, Li Ding, Tianxiang Qin, Xinyu Liu et al. • Toxins (2026)

Kunitz-type peptides from venomous and blood-sucking animals represent an important natural molecular resource for anticoagulant development towards XIa, a new target for antithrombotic drug discovery. However, the plasmin-inhibitory activi...

DOAJ Open Access (DOAJ) DOI: 10.3390/toxins18100449

Hybrid spatio-temporal transformer and variational autoencoder framework for advanced sports injury prediction and analysis

Fanjie Meng • Kuwait Journal of Science (2026)

Sports injuries significantly affect sports performance and overall health, making using accurate and reliable prognostic models imperative. Conventional algorithms for injury prediction, e.g., random forest and XGBoost, generally cannot un...

DOAJ Open Access (DOAJ) DOI: https://doi.org/10.1016/j.kjs.2026.100589

Text Mining in Cybersecurity

Luciano Ignaczak, Guilherme Goldschmidt, Cristiano André da Costa, Rodrigo da Rosa Righi • ACM Computing Surveys (2021)

The growth of data volume has changed cybersecurity activities, demanding a higher level of automation. In this new cybersecurity landscape, text mining emerged as an alternative to improve the efficiency of the activities involving unstruc...

OPENALEX DOI: https://doi.org/10.1145/3462477

A Survey on Explainable Artificial Intelligence for Cybersecurity

Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab, Rabeb Mizouni et al. • IEEE Transactions on Network and Service Management (2023)

The “black-box” nature of artificial intelligence (AI) models has been the source of many concerns in their use for critical applications. Explainable Artificial Intelligence (XAI) is a rapidly growing research field that aims to create mac...

OPENALEX Open Access DOI: https://doi.org/10.1109/tnsm.2023.3282740

Epidemiological characteristics of injury mortality in Guangdong Province, China, 2015

Ruilin Meng, Xiaojun Xu, Yanjun Xu, Chao Luo et al. • BMC Public Health (2019)

Abstract Background As the fourth leading cause of death, injury is an important public health concern in Guangdong Province, China. The epidemiological characteristics of injury mortality is changing along with the social development. This...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12889-019-6437-6

Global variations in funding and use of hemodialysis accesses: an international report using the ISN Global Kidney Health Atlas

Anukul Ghimire, Samveg Shah, Utkarsh Chauhan, Kwaifa Salihu Ibrahim et al. • BMC Nephrology (2024)

Abstract Background There is a lack of contemporary data describing global variations in vascular access for hemodialysis (HD). We used the third iteration of the International Society of Nephrology Global Kidney Health Atlas (ISN-GKHA) to ...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12882-024-03593-z

Predicting Microbial Protein Synthesis in Cattle: Evaluation of Extant Equations and Steps Needed to Improve Accuracy and Precision of Future Equations

Michael L. Galyean, Luis O. Tedeschi • Animals (2024)

Predictions of microbial crude protein (MCP) synthesis for beef cattle generally rely on empirical regression equations, with intakes of energy and protein as key variables. Using a database from published literature, we developed new equat...

DOAJ Open Access (DOAJ) DOI: 10.3390/ani14192903

Evolution of use and overuse of triptans in Austria – What has changed in the last 15 years?

Katharina Kaltseis, Sarah Maier, Karin Zebenholzer, Michael Thomas Eller et al. • The Journal of Headache and Pain (2026)

Abstract Background Triptans are highly effective acute treatments for migraine attacks, yet population-level data suggest persistent underuse. Updated real-world data on triptan use and overuse in Austria are lacking. Methods This nationwi...

DOAJ Open Access (DOAJ) DOI: 10.1186/s10194-026-02332-z