Academic Articles & Research Papers

SHIFAYAAB – Centralized Platform for Vaccination Program

Vaccinations are very essential for the prevention of harmful diseases. However, the implementation rate of vaccination varies in different parts of the world. Many countries struggle to achieve the maximum immunization ratio due to their v...

Analysing interventions designed to reduce tuberculosis-related stigma: A scoping review.

Stigma is a critical barrier for TB care delivery; yet data on stigma reduction interventions is limited. This review maps the available literature on TB stigma reduction interventions, using the Health Stigma and Discrimination framework a...

Approaches, challenges, and recommendations for clinical practice in gestational syphilis: a scoping review

ABSTRACT Objective to map the scientific evidence on the approach to gestational syphilis, the sociodemographic profile of pregnant women, and the challenges related to its management and follow-up. Method scoping review carried out in Oc...

Flexoelectricity Modulated Electron Transport of 2D Indium Oxide

Abstract The phenomenon of flexoelectricity, wherein mechanical deformation induces alterations in the electron configuration of metal oxides, has emerged as a promising avenue for regulating electron transport. Leveraging this mechanism, s...

Biohybrid Actuators for Soft Robotics: Challenges in Scaling Up

Living systems have evolved to survive in a wide range of environments and safely interact with other objects and organisms. Thus, living systems have been the source of inspiration for many researchers looking to apply their mechanics and ...

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...

Hydrophobic Covalent Organic Frameworks as a Platform for Instantaneous and High-Capacity Immobilization of Diutina (Candida) rugosa Lipase: A Simple Strategy to Boost Enzyme Activity.

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...

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...

Toward a Fit-for-purpose Policy Architecture on Long-term Care in Sub-Saharan Africa: Impasse and a Research Agenda to Overcome it

Context: Perspectives from sub-Saharan Africa (SSA) have featured little in the expanding global debate on long-term care (LTC) policy thus far – despite SSA countries’ embrace of global commitments on the development of equitable and susta...

SIMULATION OF INFORMATION SECURITY RISKS OF AVAILABILITY OF PROJECT DOCUMENTS BASED ON FUZZY LOGIC

The widespread use of computer technology, its rapid development and use in almost all areas of human activity requires constant updating of information security issues. The activities of many enterprises in the field of IT, construction, a...

A multi-image steganography: ISS

Abstract Unlike single-image steganography, the scheme of payload distribution on different images plays a pivotal role in the security performance of multi-image steganography. In this paper, a novel multi-image steganography scheme: image...

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 ...

TransKGQA: Enhanced Knowledge Graph Question Answering With Sentence Transformers

Knowledge Graph Question Answering (KGQA) plays a crucial role in extracting valuable insights from interconnected information. Existing methods, while commendable, face challenges such as contextual ambiguity and limited adaptability to di...

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...

A Graph Database Representation of Portuguese Criminal-Related Documents

Organizations have been challenged by the need to process an increasing amount of data, both structured and unstructured, retrieved from heterogeneous sources. Criminal investigation police are among these organizations, as they have to man...

Language in Education Policy Debates in Africa Today

Through critical research methods using document analysis, this study investigated the current Language in Education Policy (LiEP) debates in Africa. There are many such debates going on across the continent, but the literature available is...

A Multi-Stage NLP Framework for Knowledge Discovery from Crop Disease Research Literature

Extracting and organizing knowledge from the agricultural crop disease research literature are challenging tasks because of the heterogeneous terminologies, complicated symptom descriptions, and unstructured nature of scientific documents. ...

Advancements in natural language processing: Implications, challenges, and future directions

This research delves into the latest advancements in Natural Language Processing (NLP) and their broader implications, challenges, and future directions. With the ever-increasing volume of text data generated daily from diverse sources, ext...