Top Research Papers on Computer Science

The evolution of this field within sociology is reviewed via bibliometric analysis and in-depth analysis of the following subfields where this new work is appearing most rapidly, revealing that sociologists are not only at the center of cutting-edge research that addresses longstanding questions about human behavior but also developing new lines of inquiry about digital spaces.

Data sharing, research ethics, and incentives must improve

In this paper we propose a novel energy efficient approach for the recog- nition of human activities using smartphones as wearable sensing devices, targeting assisted living applications such as remote patient activity monitoring for the disabled and the elderly. The method exploits fixed-point arithmetic to propose a modified multiclass Support Vector Machine (SVM) learning algorithm, allowing to better pre- serve the smartphone battery lifetime with respect to the conventional floating-point based formulation while maintaining comparable system accuracy levels. Experiments show comparative r...

The potential for quantum computing to aid in the merging of insights across different areas of biological sciences is discussed.

The goal of this Perspective is to provide some clarity around how computational social scientists' approaches to prediction and explanation differ from one another and to propose how they might be productively integrated.

The new capabilities within the field of life sciences imaging are reviewed, and how future developments in this field could further benefit the life sciences community is considered.

The infrastructure is agnostic to the specific simulation codes used and can support diverse applications in computational science that transcend its initial materials domain.

Materials Cloud is a platform designed to enable open and seamless sharing of resources for computational science, driven by applications in materials modelling. It hosts (1) archival and dissemination services for raw and curated data, together with their provenance graph, (2) modelling services and virtual machines, (3) tools for data analytics, and pre-/post-processing, and (4) educational materials. Data is citable and archived persistently, providing a comprehensive embodiment of entire simulation pipelines (calculations performed, codes used, data generated) in the form of graphs that al...

Research replication only works if there is confidence built into the results, and the results should be confidence-based.

Debuting as the fifth largest supercomputer in the world, Frontera represents a robust and well-balanced HPC system designed to enable large-scale, productive science on day one of operations.

This work surveys the state of the art in the automated assessment of CS assignments, focusing on the supported types of exercises, security measures adopted, testing techniques used, type of feedback produced, and the information they offer the teacher to understand and optimize learning.

This review considers how research findings on unplugged pedagogies might advance CS/CT education priorities, while highlighting areas of unknown and tension, and proposed 10 research questions that fill key gaps to support efforts that provide just access to quality CS/ CT education.

Inverse theory provides a crucial perspective for addressing the challenges of ill-posedness, uncertainty, nonlinearity and under-sampling in large-scale complex systems.

It is concluded that the performance of today’s LLMs can augment the CSS research pipeline in two ways: serving as zero-shot data annotators on human annotation teams, and bootstrapping challenging creative generation tasks (e.g., explaining the underlying attributes of a text).

An overview of how atomistic computational modeling is being transformed by the incorporation of ML approaches is provided and how common workflows to predict structure, dynamics, and spectroscopy are affected by ML is assessed.

This review intends to present significant developments that have been made in CVS applications in animal and veterinary sciences and to highlight areas in which further research is still needed before full deployment of CVS in breeding programs and commercial farms.

Perovskite materials play a backbone role in materials science to investigate various applications including photocatalytic, photovoltaic, and hydrogen storage. Hydrogen storage is a modern technique to fulfill energy consumption and demands. We inspect the structural, hydrogen, electronic, optical, and thermodynamic properties of X2CaCdH6 (X = Rb and Cs) perovskite substances for hydrogen (H2) storage applications. The research shows substances have 225 Fm3m cubic natures and 40 atoms. The formation and cohesive energies of the examined structures show that X2CaCdH6 (X = Rb and Cs) substances...

This article explains how to teach rapidly and successfully CS students about "fit," a Human-Computer Interaction (HCI) concept, and provides extensive step-by-step directions for planning, setting up, and presenting the exercise.

Psychology endeavors to develop theories of human capacities and behaviors based on a variety of methodologies and dependent measures. We argue that one of the most divisive factors in our field is whether researchers choose to employ computational modeling of theories (over and above data) during the scientific inference process. Modeling is undervalued, yet holds promise for advancing psychological science. The inherent demands of computational modeling guide us towards better science by forcing us to conceptually analyze, specify, and formalise intuitions which otherwise remain unexamined —...

This work argues that one of the most divisive factors in psychological science is whether researchers choose to use computational modeling of theories over and above data during the scientific-inference process, and presents scientific inference in psychology as a path function in which each step shapes the next.