Essays
Optimizing Test Engineering With AI And Automation In Life Sciences
Abstract: Within the realm of life sciences, which is undergoing fast development, the combination of artificial intelligence (AI) and automation has emerged as a game-changer for the purpose of improving test engineering principles and procedures. The purpose of this study is to investigate the ways in which these technologies are reshaping the testing methodology used in the life sciences business. Particular attention is paid to case studies that show their
A Comprehensive Analysis On Optimizing iOS User Experience With SwiftUI And UIKit
Abstract: Creating user experiences (UX) for iOS apps that are fluid, intuitive, and engaging has become more important as a result of the fast expansion of mobile technology. UIKit, which has been around for a long time, is being supplemented by Apple’s SwiftUI framework, which is gaining popularity to the point that it provides new opportunities to improve user experience in iOS apps. The purpose of this in-depth investigation is
Coca-Cola’s Operational And Ethical Challenges In India Concerning Corporate Social Responsibility In Emerging Markets
Chapter 1: Introduction 1.1. Research Background This research about CSR in emerging markets, focusing on Coca-Cola in India, investigates how large corporations work around the complex socio-economic and environmental landscapes of developing countries. Recently and rapidly developing markets like India are a test bed for a number of CSR programs due to fast economic growth, complicated socio-political scenarios, and awareness among the public for social and environmental concerns (Khan et
Direct Detection Of A Globin-Derived Radical In Leghaemoglobin Treated With Peroxides
Introduction Introduction to Leghaemoglobin Leghaemoglobins (Lb) are a homogeneous group of monomeric proteins with a molecular mass of ∼16,000. They are mainly distributed in nitrogen-fixing root nodules of leguminous plants. The contribution of leghaemoglobin in these nodules is to aid the transport of oxygen into the bacteroids (nitrogen-fixing symbiotic bacteria). Nitrogen fixation is essential to plant growth because it is the process of taking nitrogen out of the atmosphere and
The Role Of Task-Based Language Teaching (TBLT) In Enhancing Communicative Competence Among English Language Learners In TESOL Settings
Chapter 1: Introduction 1.1 Background of the study Task-Based Language Teaching (TBLT) is one approach that has received a lot of attention and implementation in second language acquisition classrooms, but mostly in TESOL contexts (Izadpanah, 2010). TBLT focuses on the use of language in particular contexts, the learners are therefore required to perform realistic activities. This approach is different from the conventional language teaching methods, where there is more focus
The Potential Market Entry Of AssessMe Into The Higher Education (HE) Sector With A New AI-Driven Academic Assessment Product
Introduction This consultancy report has been commissioned by the senior management of AssessME, a company recognized for its innovative HR and candidate assessment solutions. The primary focus of this report is to evaluate the potential market entry of AssessME into the Higher Education (HE) sector with a new AI-driven academic assessment product. The terms of reference outlined for this consultancy project include: a comprehensive analysis of the HE sector’s needs,
Parents Perceptions Of School-Parent Communication And Its Effectiveness In Supporting Student Success
Chapter 1 Introduction 1.1 Introduction Good and strong communication between the parents and the school staff is of utmost importance for academic success and the child’s overall development. This allows the child to perform well in academics and grow socially (Epstein et al., 2019). Studies have highlighted the important role that a strong teacher-student has a positive impact on the learning outcomes of the students as it increases the engagement
The Potential Of Machine Learning In Advancing The Prediction Of Coronary Cardiovascular Disease
Abstract Coronary cardiovascular disease (CVD) remains a leading cause of death worldwide, necessitating accurate and early prediction methods to mitigate risks and improve patient outcomes. This study utilizes the Rates_and_Trends_in_Coronary_Heart_Disease dataset, which consists of two classes: Normal and Predicting CVD, to develop predictive models for coronary heart disease. Several machine learning models were employed, including the Random Forest Classifier, Decision Tree, XGBoost Classifier, and K-Nearest Neighbors (KNN), along with a
The Impact Of Job Satisfaction On The Organisational Commitment And Retention Of Teachers At Primary School In Larut, Matang Dan Selama, Perak
Introduction Any country’s progress depends mostly on the teaching profession as teachers are so important in determining the course of society by means of the education of future generations (Shahid & Siddiqui, 2020). But especially in elementary schools, there has been increasing worry about teachers’ retention and dedication in recent years. Rural and semi-urban areas, including Larut, and Matang Dan Selama in Perak, Malaysia, prominently show this problem. Teachers in
The Effectiveness Of CNNs’ And Light Weight Transformers To Handle Local And Global Context Of The PCB Images
Question1: Hybrid Transformer-CNN Architecture with Multi-Scale Feature Fusion for PCB Defect Detection Abstract With the growing need for electronic devices, the need for defect-less printed circuit board (PCB) detection has become important. Previous approaches mostly relied on CNNs and have succeeded in capturing local features but were unable to detect complex defects that span across broader areas of the PCB. Transformers are growing to be effective models for understanding the
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