Academic Articles & Research Papers

An Interference Sensing Algorithm Based on Duration Units of Frequency Points for Adaptive Frequency-Hopping System

The adaptive Frequency-Hopping(FH) technique based on interference sensing can further enhance the anti-interference performance of hybrid Direct-Sequence/FH Spread Spectrum(DS/FH SS) system and FH Orthogonal Frequency Division Multiplexing...

MAINSTREAMING METADATA INTO RESEARCH WORKFLOWS TO ADVANCE REPRODUCIBILITY AND OPEN GEOGRAPHIC INFORMATION SCIENCE

Reproducible open science with FAIR data sharing principles requires research to be disseminated with open data and standardised metadata. Researchers in the geographic sciences may benefit from authoring and maintaining metadata from the e...

Vehicular ad hoc networks verification scheme based on bilinear pairings and networks reverse fuzzy extraction

Abstract Vehicular Ad-Hoc Networks (VANETs) have facilitated the massive exchange of real-time traffic and weather conditions, which have helped prevent collisions, reduce accidents, and road congestions. This can effectively enhance drivin...

Introduction of robot-assisted double-flap esophagogastrostomy after proximal gastrectomy: an exploratory comparison with side-overlap reconstruction.

Embracing AI-Based Education: Perceived Social Presence of Human Teachers and Expectations About Machine Teachers in Online Education

Technological advancements in education have turned the idea of machines as teachers into a reality. To better understand this phenomenon, the present study explores how college students develop expectations (or anticipations) about a machi...

Competitiveness of the Russian space industry in the global space services market

The article carries out an analysis of the competitiveness of the Russian space industry in the international space services market according to the following indicators: the volume of budget of national space organizations, the volume of t...

Advances in ultrashallow doping of silicon

Ultrashallow doping is required for both classical field-effect transistors in integrated circuits and revolutionary quantum devices in quantum computing. In this review, we give a brief overview on recent research advances in three technol...

Modelling Quantum Software

This annotated bibliography delves into the field of quantum computing, focusing specifically on the resources used throughout the software life cycle. It examines several published works that analyze quantum software modelling in the conte...

FEATURES using reversible logic operations IN MODELING IRREVERSIBLE COMPUTING on the reversibly COMPUTER

Information can be recorded in the quantum state and are transmitted via the physical channel. The theory of quantum coding and information theory quantum computing related. In any information system ( classical or quantum) will always cont...

QG-WRN: A Quantum-Enhanced Graph Convolutional Wide Residual Network for ASD Diagnosis via Neuroimaging Sensing Technology

The pathological mechanism of autism spectrum disorder (ASD) exhibits dual heterogeneity: abnormal local energy metabolism and brain-wide high-order topological failure. To synergistically characterize these complex signals captured by adva...

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...

Genomic Organization and Expression of Iron Metabolism Genes in the Emerging Pathogenic Mold Scedosporium apiospermum

The ubiquitous mold Scedosporium apiospermum is increasingly recognized as an emerging pathogen, especially among patients with underlying disorders such as immunodeficiency or cystic fibrosis (CF). Indeed, it ranks the second among the fil...

AMALGAMATION OF BUSINESS INT ELL IGENCE WITH ENT ERPRISE RESOURCEPLANN ING SYSTEMS FOR IND USTRY 4.0

Businesses today are incredibly data rich, and dealing with large amount of data, so making some inferences andconclusions, depending on the organisation size and complexity of its processes, it has been a challenge, especially that thenext...

A Fully Adapted Headstage With Custom Electrode Arrays Designed for Electrophysiological Experiments

Electrophysiological recordings lead amongst the techniques that aim to investigate the dynamics of neural activity sampled from large neural ensembles. However, the financial costs associated with the state-of-the-art technology used to ma...

Artificial intelligence in cardiovascular medicine: systematic review of randomized controlled trials.

Artificial intelligence versus physician decision-making in acute heart failure: a comparative evaluation of four contemporary AI systems.

Understanding Customers' Opinion using Web Scraping and Natural Language Processing

The web offers large volumes of data that is unstructured and fails to be further processed if not extracted and organized into local variables or into databases. In this paper, we aim to extract data from the Internet using web scraping ...

NLP Sentiment Analysis and Accounting Transparency: A New Era of Financial Record Keeping

Transparency in financial reporting is crucial for maintaining trust in financial markets, yet fraudulent financial statements remain challenging to detect and prevent. This study introduces a novel approach to detecting financial statement...

Artificial intelligence in clinical medicine: a state-of-the-art overview of systematic reviews with methodological recommendations for improved reporting

Medicine has become increasingly receptive to the use of artificial intelligence (AI). This overview of systematic reviews (SRs) aims to categorise current evidence about it and identify the current methodological state of the art in the fi...

Detecting Target Objects by Natural Language Instructions Using an RGB-D Camera

Controlling robots by natural language (NL) is increasingly attracting attention for its versatility, convenience and no need of extensive training for users. Grounding is a crucial challenge of this problem to enable robots to understand N...