This paper discusses the use of node2vec graph embeddings to improve the performance of wide and deep recommenders by substituting the embedding layer with graph embeddings to leverage its representational power without major investments in migrating from current recommender systems. First, recommender systems importance in modern day platforms is discussed. Then, the magnitude of investment

Over the last 10 years, Arabic language have attracted researchers in the area of Natural Language Processing (NLP). A lot of research papers suddenly emerged in which the main work was the processing of Arabic language and its dialects too. Arabic language processing has been given a special name ANLP (Arabic Natural Language Processing). A lot of ANLP work can be found in literature including

The econophysics “two-class” approach yields a novel theoretical and empirically robust relation: The per capita income (Formula presented.) of any bottom fraction (x) of the population equals a(x)∙(1−G) (Formula presented.), where a(x) is a coupling coefficient, G the Gini, and (Formula presented.) is national per capita income. For the bottom 70%, a(70) = 1, which yields the Sen inequality

Mobile operators are facing strong challenges regarding the environmental impact of their operations. The International Telecommunications Union (ITU) considered energy consumption as the prime source of Carbon dioxide (CO2) emissions for the whole Information and Communications Technology (ICT) sectors. ITU encouraged all ICT sectors to commit their efforts in order to control their energy

Circulatory failure, also known as shock, is a critical condition that can have serious consequences for one's health. Early detection and timely intervention are crucial for improving patient outcomes. Machine learning (ML) models have shown promise in predicting circulatory failure based on clinical data. In our study, we examined different machine learning (ML) models to predict circulatory

Sentiment analysis is a common and challenging task in natural language processing (NLP). It is a widely studied area of research; it facilitates capturing public opinions about a topic, product, or service. There is much research that tackles English sentiment analysis. However, the research in the Arabic language is behind other high-resource languages. Recently, models such as bidirectional

The need for a comprehensive consolidated guide for R packages and tools that are used in microbiome data analysis is significant; thus, we aim to provide a detailed step-by-step dissection of the most used R packages and tools in the field of microbiome data integration and analysis. The guideline aims to be a user-friendly simplification and tutorial on five main packages, namely phyloseq, MegaR

Most artificial intelligence (AI) research and innovations have concentrated in high-income countries, where imaging data, IT infrastructures and clinical expertise are plentiful. However, slower progress has been made in limited-resource environments where medical imaging is needed. For example, in Sub-Saharan Africa, the rate of perinatal mortality is very high due to limited access to antenatal

The dog was probably the first domesticated animal. Despite extensive archaeological and genetic investigations, the origin and the evolution of the extant dogs are still being debated. Dog breeds that have over time been selected for hunting share common ancestral traits. This study represents the first comprehensive attempt to survey at the genomic and mitochondrial level eight hound-like dogs

In recent years, advances in technology in several industries have resulted in massive data collections on the web. It raises worries about large data security and protection. The advent of Blockchain technology has caused a revolution in the security field for different applications. The distributed ledger is stored on each Blockchain node, which enhances security and data transparency. On the