Latest Essays
The Role Of Sensory Modality In Lexical Decision And Semantic Priming
PDF Button Introduction Lexical decision and semantic priming are widely used methods for studying how words are recognized and how meaning becomes active in memory. In a lexical decision task, a participant decides whether a letter string or spoken item is a real word. In a semantic priming task, recognition of a target such as “nurse” is usually faster after a related prime such as “doctor” than after an unrelated
Should Some Knowledge Not Be Sought On Ethical Grounds?
PDF Button Object 1: Marina Abramović’s shocking Rhythm 0 performance Marina Abramovic’s Rhythm 0 deeply delves into the ToK prompt “Should some knowledge not be sought on ethical grounds?”. She is well known for her body art, for how she pushes the boundaries and for the relationship she upholds with her audience to make them delve into the possibilities of the human mind. Rhythm 0, performed in 1974, observed Marina
The 10 University Libraries in the USA Worth a Visit
PDF Button University libraries are essential pillars of higher education, serving as repositories of knowledge and intellectual development. These institutions offer vast collections of books, manuscripts, and digital archives that support academic research and learning. Beyond their academic role, many university libraries are architectural masterpieces that reflect the rich history and culture of their institutions. Some date back centuries, preserving historical documents and artifacts that provide insights into the past,
Pentapartitioned Neutrosophic Pythagorean Correlation for MADM Research Study
PDF Button Abstract: A correlation coefficient is a statistical measure which contributes to deciding the degree to which changes in one variable predict changes in another. Wang’s single-valued neutrosophic sets have still continued to improve to pentapartitioned neutrosophic sets. In this article, we analyze the characteristics of pentapartitioned neutrosophic Pythagorean sets with improved correlation coefficients. We’ve also used the same approach in multiple attribute decision-making methodologies, including one with a
Deep Learning for Wireless Network Handoff Management
PDF Button Abstract Handoff events, in which mobile nodes switch between various network access points, frequently result in performance degradation in wireless networks. TCP-PRN (Path Recovery Notification), a method designed to lessen the negative effects of temporary link disconnections, was developed in response to this challenge. In spite of its potential, precise handoff prediction and managing link disconnections continue to be major obstacles in actual deployment. This study introduces an
ECG Analysis for Ischemic Heart Disease Prediction
PDF Button Introduction The most prevalent dangerous illness is thought to be heart attacks. Medical practitioners perform numerous surveys on heart disease to acquire data on the illnesses, symptoms, and course of the condition [1]. Since cardiovascular disease is the most predictable disease in the world, it is a major worry for the medical sector in today’s heart disease research. Scaling down small and amazing gadgets that may be utilised
Secure Transfer Of Data In Cloud Computing Using DNA Cryptography With Cipher Techniques
PDF Button Abstract Cloud computing is a type of distributed computing that allows organizations to store and access data on-demand. It is commonly used for various applications such as network services, storage, and platform services. However, many organizations are not excited about using it due to security concerns. Various researchers have been developing various methods to improve the security of cloud computing. One of these is the Bi-directional DNA encryption
Fiber Bragg Grating Sensors in Industry 4.0
PDF Button Abstract Review of the Fiber Bragg Grating (FBG) sensor technology’s state-of-the-art. In the past three decades, FBG sensors have drawn a lot of attention because of their key benefits, which include immunity to electromagnetic interference, lightweight, compact size, high sensitivity, huge operation bandwidth, and excellent multiplexing capabilities. Temperature and strain are the two most extensively researched sense physical variables. This paper focuses on the operation of fiber bracket
AI Based Multicore Resource Allocation
PDF Button Abstract Asymmetric Multicore Processors (AMP) are becoming used in both advanced and basic computing systems due to their fundamental flexibility and outstanding computing possibilities. Among the subcategories of AMP, Performance Asymmetric Multicore (PAM) Architectures are unique in that they include various micro-architecture cores into a single chip. Nevertheless, the complex interplay between heterogeneous cores and a diverse range of applications presents a formidable challenge in determining the optimal
Student Dropout Prediction Using Fuzzy Rules and CNN
PDF Button Abstract Governments are primarily concerned with ensuring that all citizens of the world have access to education regardless of their disabilities. This article presents a method for predicting dropout rates among disabled students in order to offer recommendations and alternative pathways for their career enhancement. To achieve this, data on training students’ learning behaviour was collected through an online survey completed by various student organizations, both dropout and
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