Academic Articles & Research Papers

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

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...

Quantum Computing: Circuits, Algorithms, and Applications

Quantum computing, a transformative field that emerged from quantum mechanics and computer science, has gained immense attention for its potential to revolutionize computation. This paper aims to address the fundamentals of quantum computin...

Synergizing Generative AI and Cybersecurity: Roles of Generative AI Entities, Companies, Agencies, and Government in Enhancing Cybersecurity

The digital landscape of the modern world has witnessed a remarkable evolution over the past few decades, with technological advancements permeating every facet of our lives. While these innovations have brought forth unprecedented convenie...

Prior Season Crop Type Masks for Winter Wheat Yield Forecasting: A US Case Study

Monitoring and forecasting crop yields is a critical component of understanding and better addressing global food security challenges. Detailed spatial information on crop-type distribution is fundamental for in-season crop condition monito...

The role of national cybersecurity strategies on the improvement of cybersecurity education

Network Analysis of Medical Claims Data Suggests Network-Based, Regional Targeting and Intervention Delivery Strategies to Increase Access to Office Based Opioid Treatment (OBOT) for Opioid Use Disorder (OUD)

Opioid overdose and Opioid Use Disorder (OUD) statistics underscore an urgent need to significantly expand access to evidence-based OUD treatment. Office Based Opioid Treatment (OBOT) has proven effective for treating OUD. However, limited ...

Active galactic nucleus activity in nearby disk galaxies: The roles of bar strength and spiral arm morphology

Context. The transport of gas toward galactic centers and its connection to active galactic nucleus (AGN) activity remain key open questions in galaxy evolution. In particular, the relative roles of stellar bars and spiral arms and their po...

Genetic Markers of Adaptation of <named-content content-type="genus-species">Plasmodium falciparum</named-content> to Transmission by American Vectors Identified in the Genomes of Parasites from Haiti and South America

ABSTRACT The malaria parasite, Plasmodium falciparum, was introduced into Hispaniola and other regions of the Americas through the slave trade spanning the 16th through the 19th centuries. During this period, more than 12 million Africans w...

Outdoor access practices in the Canadian dairy industry

ABSTRACT: Dairy cows are highly motivated to access pasture and have a partial preference for alternative forms of outdoor access (e.g., deep-bedded outdoor sand or wood-chip packs). In addition, Canadians value the provision of outdoor acc...

Climate‐Associated Genetic Variation in Native and Introduced Populations of Eustenopus villosus, a Biological Control Agent for Yellow Starthistle.

Machine and deep learning methods for radiomics

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...

Foundations of Machine Learning

This chapter focuses on providing a complete grasp of the foundations of machine learning (ML). Machine learning is a rapidly evolving domain with wide-ranging applications, from natural language processing to autonomous vehicles. This chap...

Brain network-based stratification of mental health disorders: design and cohort description of the STRATIFY and ESTRA studies.

Foundations of Machine Learning

Foundations of Machine LearningSoon we will embark on a theoretical study of AdaBoost in order to understand its properties, particularly its ability as a learning algorithm to generalize, that is, to make accurate predictions on data not s...

Counteracting the overestimation of effect size in mass-univariate brain-wide association studies using cross-validation.