Essays
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
Sustainability Reporting And Business Ethics
Part 1 Introduction Marks & Spencer also referred to as M&S is a retail company from the United Kingdom that has set its prices to capture the mass market and offers own-label goods under Food, Clothing & Home, Bank & Services segments. The company puts a special focus on high quality and while ordering the products they make sure to do it with concern over wastage. M&S in 2023 managed
Experimental And Numerical Study Of Air Jet Impingement On Heated Cylinder
1. Introduction Jet impingement is a widely used technique to achieve higher heat transfer from a surface both for cooling and heating purposes. It offers advantages namely simplicity in construction and higher heat transfer rates. Further, the technique is cost-effective and can provide better heat removal than uniform flow. The technique is employed in numerous engineering applications including glass manufacturing, paper drying, gas turbine blades, electronic components and food processing.
Predicting Shear Strength In RC Deep Beams Using Machine Learning
Reinforced concrete deep beams are one of the key structural components that are essential in a variety of applications including bridges, tall buildings, and marine structures. They are capable of creating strut-like compression components between applied loads and supporting structures through their distinctive load and support setup, thus being effective load-distribution elements in various structures. According to ACI code 318-18 [1], beams are classified as deep beams for flexion, with
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