Essays
The Role Of Sensory Modality In Lexical Decision And Semantic Priming
Overview The methods section outlines the systematic approach used to conduct the study, ensuring replicability and transparency. This section details the research design, participant characteristics, materials, procedures, and ethical considerations, providing a comprehensive overview of how the research was conducted. Participants The study involved a total of 120 participants, aged between 18 and 35 years, with a mean age of 25.4 years (SD = 4.2). Participants were recruited from a
Should Some Knowledge Not Be Sought On Ethical Grounds?
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 standing still
The 10 University Libraries in the USA Worth a Visit
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 Some date back centuries, preserving historical documents and artifacts that provide insights into the past, while others
Improved Correlation Coefficients Of Pentapartitioned Neutrosophic Pythagorean Sets For MADM
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 pentapartitioned neutrosophic
Enhancing TCP-PRN For Seamless Handoff Management In Wireless Networks Through Deep Learning And Hybrid Optimization
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 improved TCP-PRN
A Metaheuristic Approach To Ensembled Deep Learning Based Wind Power Forecasting
Abstract In the field of renewable energy, the accurate forecasting of wind power generation is paramount for grid stability and efficient resource utilization. This paper presents a novel approach to enhance wind power forecasting (WPF) accuracy using an ensemble of deep learning (DL) models and a meta-heuristic framework. The proposed methodology encompasses a comprehensive pre-processing phase involving data cleaning and normalization through Box-Cox transformation, as well as data imputation to
Opportunities And Benefits Of Artificial Algorithms
3.1 Introduction Artificial Intelligence (AI) refers to the emulation of human cognitive abilities in machines imbued with the capacity to engage in logical thinking and exhibit behaviours reminiscent of those displayed by humans. This encompasses the creation of algorithms and computer programs that possess the capability to execute activities which generally necessitate human intellect (Strong, 2016) (Davenport, 2018), including visual cognition, speech identification, decision-making, and linguistic translation. AI harbours the
AI in Digital Marketing: Enhancing Analytics and Decision-Making
In the dynamic realm of Digital Marketing, data holds paramount importance. Businesses rely on information to comprehend their customers, evaluate the performance of their advertising and marketing campaigns, and make informed decisions. However, with the sheer amount of statistics available, studying it manually may be overwhelming. This is wherein AI in Digital Marketing comes into play. By leveraging Artificial Intelligence, organizations can enhance their analytics and choice-making strategies, fundamental to
The Decline Of Compassion In Society
Part 1: A reflection of lack of compassion Background A harsh wake-up call regarding the lack of compassion of certain Ontarians was given to Canadians in February. Following the late-night alert on cellphones that indicated 11-year-old Riya Rajkumar had been abducted, some individuals took to social media to moan about their restless nights rather than to show concern for a kid in danger (Rajkumar was eventually discovered dead). Others complained
How To Make Haitian Macaroni Au Gratin!
Introduction Figure: sourced from savorythoughts.com Haitian Macaroni Au Gratin, Makawoni O Graten, or Gratin De Macaroni is the Haitian version of cheese and mac. The Haitian Macaroni Au Gratin is a dish that is often reserved for most joyous and special occasions. Its rich and meaty flavour makes it a great deal to be consumed at peak times of someone’s big day like weddings and birthdays and other celebrations like
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