Academic Articles & Research Papers

NIST Cybersecurity Framework and MITRE Cybersecurity Criteria

Natural Language Processing for Information Extraction

With rise of digital age, there is an explosion of information in the form of news, articles, social media, and so on. Much of this data lies in unstructured form and manually managing and effectively making use of it is tedious, boring and...

Neural networks in the capital markets

PART ONE: NEURAL NETWORKS: Introduction Design Considerations Methods for Optimal Network Design Data Modelling Considerations Testing Strategies and Metrics PART TWO: EQUITY APPLICATIONS: Modelling Stock Returns in the Framework of APT: A ...

Activation of Coagulation and Fibrinolysis in Acute Respiratory Distress Syndrome: a Prospective Pilot Study

Introduction: Coagulation and fibrinolysis remain sparsely addressed with regards to acute respiratory distress syndrome (ARDS). We hypothesized that ARDS development might be associated with changes in plasma coagulation and fibrinolysis. ...

Analysis of Temporary Employment Company Business Environment

The relevance of the research. The emergence of temporary employment as an atypical form of work organization has become a relevant topic in the research of human resource management processes. Researchers analyze temporary employment not o...

Spatial Optimization of Wind and Solar Farm Location in Electric Power Systems Considering Power System Flexibility Characteristics

The rapid development of wind and solar energy necessitates a solution to the problem of the optimal spatial placement of wind farms (WFs) and solar farms (SFs) within electric power systems. The non-stationary generation schedules of WFs a...

High-Performance Tuning for Model Predictive Control for a Renewable Energy Grid-Interface Converter With LCL Filter

Model predictive control (MPC) has emerged as a highly regarded control strategy in power electronics for renewable energy applications. While it minimizes tracking errors and control effort, a significant challenge is the lack of systemati...

Blind spots of randomized benchmarking under temporal correlations

Randomized benchmarking (RB) is a widely adopted protocol for estimating the average gate fidelity in quantum hardware. However, its standard formulation relies on the assumption of temporally uncorrelated noise, an assumption often violate...

Quantum computing with defects

Identifying and designing physical systems for use as qubits, the basic units of quantum information, are critical steps in the development of a quantum computer. Among the possibilities in the solid state, a defect in diamond known as the ...

Oscilaciones de Potencia, Tensión y Corriente en Unidades de Generación Distribuida; Power, Voltage and Current Oscillations in Distributed Generation Units

En las plantas de generación distribuidas accionadas por motores reciprocantes es necesario conocer las fluctuaciones de tensión, corriente y potencia para evaluar la calidad de la energía que entregan estos grupos electrógenos y como crite...

A systems-level energetic framework for conscious processing: energetic organization as a constraint on large-scale neural integration

Conscious processing is associated with coordinated interactions among distributed neural systems, yet the biological constraints that enable and sustain large-scale neural integration remain incompletely understood. Contemporary theories e...

Load Balancing in Distributed Systems

In a distributed computing system made up of different types of processors each processor in the system may have different performance and reliability characteristics. In order to take advantage of this diversity of processing power, a modu...

Regional flow analysis for the Valle del Cauca Region in Colombia

Flow frequancy analysis of high and low flows is curry out
 by using the regional Probability Weighted Moments (PWM) algorithm. The distributions fitted to the región area: General extreme value (GEV), Wakeby, Extreme value type 1 (EVl)...

Decentralized intelligence in smart grids: a comprehensive survey of edge computing and federated learning

Modern power grids are becoming more distributed and data-intensive, while centralized, cloud-based analytics struggle to keep pace. Routing everything through a central system introduces delays, strains network capacity, complicates compli...

Security evaluation framework for cloud ERP systems using NIST and ISO standards

Abstract Enterprise Resource Planning (ERP) systems serve as critical infrastructure for modern organizations, yet their security assessment lacks standardized evaluation frameworks. This study develops and applies a structured Security Mat...

Decision-Making on First-Line Treatment Alternatives in Chronic Lymphocytic Leukemia: A Multi-Criteria Decision Analysis to Elicit Stakeholders' Preferences in Italy.

Qualitative Insights From Public Interviews in the United Kingdom on the Acceptability of Risk-Based Eligibility Criteria for Lung Cancer Screening.

Research on a Comprehensive Performance Analysis Method for Building-Integrated Photovoltaics Considering Global Climate Change

Building-integrated photovoltaics (BIPVs) represent a pivotal technology for enhancing the utilization of renewable energy in buildings. However, challenges persist, including the lack of integrated design models, limited analytical dimensi...

Development of Mathematics E-Comic to Facilitate the Mathematical Communication Ability

This study aims to develop a valid mathematics e-comic learning media for class VIII students on statistical material. The design of the e-comic mathematics learning media development using the PPE stage includes planning (planning), produc...

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

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...