Top Notch Consulting for PhD Research and Journal Manuscript Publications

Python for Simulations and Modeling in PhD Research: Advantages and Applications

Simulations and modeling are essential tools in PhD research, enabling researchers to investigate complex phenomena, predict outcomes, and gain valuable insights. Python has emerged as a preferred language for conducting simulations and modeling in diverse fields of study. Its versatility, extensive libraries, and ease of use have made it a powerful tool for researchers seeking to simulate and model intricate systems. This blog will explore the advantages and applications of using Python for simulations and modeling in PhD research. Furthermore, the availability of Python implementation service providers can assist researchers in streamlining their projects, providing expertise in Python programming, and... read more

The Challenges in Writing a Multi Authored Academic Publication, More Co-authors for your research paper.

Co authorship is when two or more authors collaborate to publish a research article. There has been a significant increase in multi disciplinary research which has also expanded multi authored academic research in the past few years. There are a variety of reasons for this growth, most commonly researchers attribute this growth to the incremented pressure of publication for career growth and promotions. With such a requirement, co authorship is often a lucrative return on investment. Another reason because of which collaborative writing has increased are, better opportunities for co authorship as networks have increased and advances in technological developments... read more

The making of the meshing model using ANSYS

You want to build a house but before that, you need a blueprint of the house so that you can build it just the way you want. In the paper blueprint, you may not understand it totally but in the 3D blueprint, you can see every corner of the house and also change it just the way you want. Well, this is what ANSYS is. In this blog, we will know the steps to make the meshing model using ANSYS. But before that, let us know a little bit about ANSYS and the meshing model so that we can understand... read more

Identifying Fuel economy model in MATLAB simulink

Suppose you have written a program on “how to add two numbers”. Now the input is the coding and the output is adding two numbers. That is the basic difference between MATLAB and Simulink. MATLAB is the programming language and Simulink is the output of the language. In this blog, we will identify the fuel economy model in MATLAB Simulink. But before that, let us get an idea about what MATLAB Simulink is and what the fuel economy model is. MATLAB Simulink is a graphical programming environment for modelling, simulating and analysing dynamic systems. It allows users to design, simulate,... read more

Evaluating the limitations and importance of quasi experiment to formulate better research questionnaire

A research questionnaire is just formulating some questions for the research respondents so that you can gather and analyze their responses to know about the research topic. Now, if we do not have the idea to create research questionnaires, then how will we create better research questions? Well, there is a certain type of experiment called “quasi-experiment” that can help us formulate better questions. But is it effective? Does it have any limitations? In this blog, we will identify the limitations and importance of quasi-experiments to formulate better research questionnaires.  Describing quasi-experiment A quasi-experiment is a type of study that... read more

Understanding the use of one way ANOVA to conduct quantitative data analysis

Suppose you have started a business and you want to reach out to investors for money. They will see your year-by-year or month-by-month growth rate, your profit margin, your revenues, and other business financials. These are all numbers which are called quantitative data that are used to make business decisions or even real-life decisions. One-way ANOVA, which is a variance analysis test, can help us to conduct quantitative data analysis. In this blog, we will learn the use of one-way ANOVA to conduct quantitative data analysis. But first, let us know technically what quantitative data analysis is in short so... read more

Dealing with the risk of over-interpreting or under-interpreting qualitative data- the grounded theory approach

What is the real reason that makes us happy? It’s not our salary or our business’ balance sheet numbers, it’s our environment, our relationships, and other personal or professional reasons. Now, identifying and analyzing this data is qualitative data basically. Now, what is the guarantee that the gathered data is correct? Suppose even if we interview some person, what is the guarantee that the person has provided us with the correct data? That is the risk of over-interpreting or under-interpreting qualitative data. In this blog, we will deal with the risk of over-interpreting or under-interpreting qualitative data by using a... read more

Collecting qualitative data using interviews for PhD research – A complete guide

Have identified disciplinary orientations and design for the investigation, a researcher gathers information that will address the fundamental research question. Interviews are very common from data collection incase study research. Interviews are individual or groups allow the researcher to attain rich, personalized information (Mason, 2002). To conduct successful interviews, the researchers should follow several guidelines. First, the researcher should identify key participants in the situation whose knowledge and opinions may provide important insights regarding the research questions. Participants may be interviewed individually or in groups. Individual interviews yield significant amounts of information from an individual’s perspective, but may be quite... read more

Starting a PhD in the Pandemic: Challenges and Benefits

Scholars who embark on their journey towards earning a doctorate know that they are about to undertake a mammoth task. At the best of times, starting a PhD can be quite a demanding and, at times, overwhelming academic commitment. However, when a pandemic is added to the equation, things undeniably get even more difficult. The experience of starting or pursuing a PhD in the pandemic is largely unprecedented, although it can be safely stated that it affects scholars and their daily lives in many disruptive ways. Apart from causing emotional stress and anxiety, the COVID situation can also throw up... read more

Knowledge, Research Questions and Research Paradigm

The research question thus posed the objective for exploring and discovering processes that led to knowledge creation. Knowledge by itself is a difficult construct which is viewed from various disciplinary perspectives such as philosophy, cognitive psychology, sociology can pose a myriad and often conflicting variety of definitions. Broadly there are western philosophies which posit separations of reality of physical word from the individual while there are eastern that stress upon knowledge to be occurring to the whole personality and character rather than in separated components of body and mind. According to the interpretive approach knowledge is personal and constructed through... read more