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Planning your research is very important to obtain desirable results. In research, the relevance of data cannot be overlooked. It plays a pivotal role in laying a foundation to your study. Improper data has the potential to introduce bias…

Microaggressions in academia can take many forms — a professor asking a student of color if they are a diversity hire, a student making a joke about a woman's appearance in a STEM class, or people assuming that a student with a disability…

Three years after the pandemic paralyzed the world, its aftermath continues to make the world go frenzy as the siren of recession rings louder with time. The current recession alert has alarmed several industries, including scientific…

Complete reliance on AI, such as DeepL Write and ChatGPT, for research and scholarly editing is not feasible or advisable. When editing your scholarly work, the choice among DeepL Write, ChatGPT, and human editors can greatly impact your…

Academic writing demands clear communication of ideas to facilitate the exchange of knowledge, and to ensure that information is conveyed accurately and comprehensively. It serves as a vehicle for critical thinking, analysis, and synthesis,…

Research population and sample serve as the cornerstones of any scientific inquiry. They hold the power to unlock the mysteries hidden within data. Understanding the dynamics between the research population and sample is crucial for…

The PhD application process can be both daunting and enjoyable, where one tends to make a lot of mistakes and learn from them. Each institution or laboratory has its own requirements for letters or applications submitted by applicants.…

In the realm of research, uncovering of truth requires a vigilant eye and an unwavering commitment to objectivity. But what if our quest for knowledge is tainted by an unseen deception? Imagine a world where only the winners tell their…

Sure, ChatGPT is being considered a superhero trying to save a lot of our hours, but what it is supposedly doing is only regurgitating the extensive amounts of outdated information that it is trained on (somewhere till September 2021). But…