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Beam-Based Mobility Management in 5G Millimetre Wave V2X Communications: A Survey and Outlook

Abdulkadir Kose, Haeyoung Lee, Chuan Heng Foh, Mehrdad Dianati • IEEE Open Journal of Intelligent Transportation Systems (2021)

It is envisaged that 5G can enable many vehicular use cases that require high capacity, ultra-low latency and high reliability. To support this, 5G proposes the use of dense small cells technology as well as and highly directional mmWave sy...

DOAJ Open Access (DOAJ) DOI: 10.1109/OJITS.2021.3112533

A search for $t\bar{t}$ resonances with the ATLAS detector in 2.05 fb−1 of proton-proton collisions at $\sqrt{s} = 7~\mathrm{TeV}$

The ATLAS Collaboration, G. Aad, B. Abbott, J. Abdallah et al. • European Physical Journal C: Particles and Fields (2012)

Abstract A search for top quark pair resonances in final states containing at least one electron or muon has been performed with the ATLAS experiment at the CERN Large Hadron Collider. The search uses a data sample corresponding to an integ...

DOAJ Open Access (DOAJ) DOI: 10.1140/epjc/s10052-012-2083-1

The epidemiology of theileriosis in Africa

R. A. I. Norval, Brian D. Perry, Alan S. Young • CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research) (1992)

The title of this book does not adequately reflect the comprehensive treatment of a complex and important parasitic disease of domestic cattle. Despite the passing of 100 years, East Coast fever (ECF) remains an economically and environment...

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Fascioliasis, revisión clínico-epidemiológica y diagnóstico

Raydel Martínez Sánchez, Ingrid Domenech Cañete, Juan Carlos Millán Marcelo, Adonis Pino Santos • Revista Cubana de Higiene y Epidemiología

La fascioliasis es una infección parasitaria causada por trematodos del género Fasciola, y la especie más frecuente es Fasciola hepatica, la cual se encuentra distribuida en todos los continentes e infecta a gran cantidad de mamíferos, incl...

DOAJ Open Access (DOAJ)

A New Wave in Robotics: Survey on Recent MmWave Radar Applications in Robotics

Kyle Harlow, Hyesu Jang, Timothy D. Barfoot, Ayoung Kim et al. • IEEE Transactions on Robotics (2024)

We survey the current state of millimeter-wave (mmWave) radar applications in robotics with a focus on unique capabilities, and discuss future opportunities based on the state of the art. Frequency modulated continuous wave mmWave radars op...

OPENALEX Open Access DOI: https://doi.org/10.1109/tro.2024.3463504

Boosting precision crop protection towards agriculture 5.0 via machine learning and emerging technologies: A contextual review

Gustavo A. Mesías-Ruiz, Gustavo A. Mesías-Ruiz, María Pérez-Ortiz, José Dorado et al. • Frontiers in Plant Science (2023)

Crop protection is a key activity for the sustainability and feasibility of agriculture in a current context of climate change, which is causing the destabilization of agricultural practices and an increase in the incidence of current or in...

DOAJ Open Access (DOAJ) DOI: 10.3389/fpls.2023.1143326

Quantum Computing for High-Energy Physics: State of the Art and Challenges

Alberto Di Meglio, Karl Jansen, Ivano Tavernelli, Constantia Alexandrou et al. • PRX Quantum (2024)

Quantum computers offer an intriguing path for a paradigmatic change of computing in the natural sciences and beyond, with the potential for achieving a so-called quantum advantage—namely, a significant (in some cases exponential) speedup o...

OPENALEX cc-by DOI: https://doi.org/10.1103/prxquantum.5.037001

Cyber risk and cybersecurity: a systematic review of data availability

Frank Cremer, Barry Sheehan, Michael Fortmann, Arash Negahdari Kia et al. • The Geneva Papers on Risk and Insurance Issues and Practice (2022)

Cybercrime is estimated to have cost the global economy just under USD 1 trillion in 2020, indicating an increase of more than 50% since 2018. With the average cyber insurance claim rising from USD 145,000 in 2019 to USD 359,000 in 2020, th...

OPENALEX cc-by DOI: https://doi.org/10.1057/s41288-022-00266-6 PMC: 8853293

Coalition of explainable artificial intelligence and quantum computing in precision medicine

Soumyadeep Ray, Pronaya Bhattacharya, Ebrahim A. Mattar, Abhishek Mukhopadhyay • Computational and Structural Biotechnology Journal (2025)

This survey examines the convergence of Explainable Artificial Intelligence (XAI) and Quantum Computing (QC) toward precision medicine. We review developments from 2018 to 2025, summarizing quantum algorithms, quantum-machine-learning model...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.csbj.2025.11.031

A general theory of glacier surges

D. I. Benn, A. C. Fowler, I. Hewitt, H. Sevestre • Journal of Glaciology (2019)

We present the first general theory of glacier surging that includes both temperate and polythermal glacier surges, based on coupled mass and enthalpy budgets. Enthalpy (in the form of thermal energy and water) is gained at the glacier bed ...

DOAJ Open Access (DOAJ) DOI: 10.1017/jog.2019.62

Psychometric facets of Antifragility: Tolerance of Ambiguity, Hardiness, and Growth

Ol'ga S. Vindeker, Marina V. Klimenskikh • Российский психологический журнал (2016)

This paper considers the issues, which are concerned with a new concept of antifragility. Quite recently, considerable attention has been paid to the concept of antifragility. Antifragility gains a special importance in studying psychologic...

DOAJ Open Access (DOAJ) DOI: 10.21702/rpj.2016.3.7

Electrorefining behavior of a multicomponent copper alloy derived from waste printed circuit boards

Florentina Niculescu, Ion Pencea, Mirela Stănescu, Gheorghe Iacob et al. • Chemical Engineering Journal Advances (2026)

Efficient recycling of waste electrical and electronic equipment (WEEE) is a major priority for the circular economy and sustainable resource management. This study proposes and investigates an integrated mechanical, pyrometallurgical, and ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.ceja.2026.101418

Empowering text classification with NLP and explainable AI for enhanced interpretability

Sumaya Mustafa, Mariwan Hama Saeed • Journal of Electrical Systems and Information Technology (2025)

Abstract Artificial intelligence (AI) models have demonstrated significant success in classifying various types of text. However, the complex nature of these models often complicates the interpretability of their classifications. To address...

DOAJ Open Access (DOAJ) DOI: 10.1186/s43067-025-00273-2