Academic Articles & Research Papers

Molecular characterization and prognostic modeling associated with M2-like tumor-associated macrophages in breast cancer: revealing the immunosuppressive role of DLG3

BackgroundM2-like tumor-associated macrophages (TAMs) promote an immunosuppressive microenvironment and contribute to tumor progression and metastasis. However, their molecular characterization and prognostic value have not been fully explo...

Quantum computing models for artificial neural networks

Abstract Neural networks are computing models that have been leading progress in Machine Learning (ML) and Artificial Intelligence (AI) applications. In parallel, the first small-scale quantum computing devices have become available in rece...

Approaching quantum computing

1 Preface 2 Introduction 2.1 Computing and the Laws of Physics 2.2 Quantum Information 2.3 Quantum Computers 2.4 The Wave and the Corpuscular Nature of Light 2.5 Deterministic versus Probabilistic Photon Behavior 2.6 State Description, Supe...

Automata and quantum computing

Quantum computing is a new model of computation, based on quantum physics. Quantum computers can be exponentially faster than conventional computers for problems such as factoring. Besides full-scale quantum computers, more restricted model...

Automata and Quantum Computing

Quantum computing is a new model of computation, based on quantum physics. Quantum computers can be exponentially faster than conventional computers for problems such as factoring. Besides full-scale quantum computers, more restricted model...

Open source software in quantum computing

Open source software is becoming crucial in the design and testing of quantum algorithms. Many of the tools are backed by major commercial vendors with the goal to make it easier to develop quantum software: this mirrors how well-funded ope...

Pace—A Toolset for the Performance Prediction of Parallel and Distributed Systems

This paper describes a methodology that provides detailed predictive performance information throughout the software design and implementation cycles. It is structured around a hierarchy of performance models that describe the computing sys...

The Breakdown of Coordinated Decision Making in Distributed Systems

OBJECTIVE: This article aims to explore the nature and resolution of breakdowns in coordinated decision making in distributed safety-critical systems. BACKGROUND: In safety-critical domains, people with different roles and responsibilities ...

Distributed Systems

This chapter demystifies computing systems consisting of multiple CPUs, shared and distributed memory, and different types of I/O in the form of multiprocessors and multicomputers that eventually gave rise to distributed computing systems a...

Symmetry and similarity in distributed systems

Abstract: Similarity is introduced as a model-independent characterization of symmetry. It can be used to decide when a concurrent system has a solution to the selection problem. It can also be used to compare different models of parallel c...

Distributed System Design with Message Sequence Charts

The methodical mastery of interaction scenarios is a key factor for capturing and modeling system requirements of distributed, reactive systems. Message Sequence Charts (MSCs) and variants thereof are well-accepted as a graphical descriptio...

An Integrated Power Consumption Model for Distributed Systems

In order to realize green ecosocieties, the total electric power consumption of computers and networks is required to be reduced. In applications on distributed systems, clients issue service requests to servers and then servers send replie...

Security threats scenarios in trust and reputation models for distributed systems

Heuristic Models of Task Assignment Scheduling in Distributed Systems

Distributed Systems

This chapter provides an introduction to distributed computing as a foundation for better understanding of cloud-enabled business processes. Distributed systems constitute of a large umbrella under which several different software systems a...

Distributed Systems

This chapter addresses the issues involved in distributed databases, where a database is stored on more than one computer. It provides an introduction to parallel and distributed computing as a foundation for the better understanding of clo...

Abstract Communication Model for Distributed Systems

In some distributed and mobile communication models, a message disappears in one place and miraculously appears in another. In reality, of course, there are no miracles. A message goes from one network to another; it can be lost or corrupte...

Distributed Systems

The origins of big data technologies come from database systems and distributed systems as well as data mining and machine learning algorithms that can process these vast amounts of data to extract the necessary knowledge. This chapter addr...

On the controllability of distributed systems

To "control" a system is to make it behave (hopefully) according to our "wishes," in a way compatible with safety and ethics, at the least possible cost. The systems considered here are distributed-i.e., governed (modeled) by partial differ...

A Behavioral SIQR-B Model for Cholera Transmission: Impact of Adaptive Risk Perception on Disease Dynamics

Background/Objectives: Cholera remains a major public health problem, particularly in regions with limited access to safe drinking water and sanitation. Traditional compartmental models may underrepresent adaptive human behavioral responses...