Ethical Considerations in Integrating AI in Research Consultations: Assessing the Possibilities and Limits of GPT-based Chatbots

Objective: This case study sought to provide early information on the accuracy and relevance of selected GPT-based product responses to basic information queries, such as might be asked in librarian research consultations.We intended to identify positive possibilities, limitations, and ethical issues associated with using these tools in research co

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Effects of Quinoa Flour on Wheat Dough Quality, Baking Quality, and in vitro Starch Digestibility of the Crispy Biscuits

Quinoa is a pseudo-cereal which has excellent nutritional and functional properties due to its high content of nutrients, such as polyphenols and flavonoids, and therefore quinoa serves as an excellent supplement to make healthy and functional foods.The present study was aimed to evaluate the quality characteristics of wheat doughs and crispy biscu

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Adaptive Discretization Using Golden Section to Aid Outlier Detection for Software Development Effort Estimation

The software engineering researchers have worked on different dimensions to facilitate better software effort estimates, including those focusing on dataset quality improvement.In this research, we specially investigated the effectiveness of outlier removal to improve estimation performance of 5 machine learning (ML) methods (Support Vector Regress

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Herds overhead: Nimbadon lavarackorum (Diprotodontidae), heavyweight marsupial herbivores in the Miocene forests of Australia.

The marsupial family Diprotodontidae (Diprotodontia, Vombatiformes) is a group of extinct large-bodied (60-2500 kg) wombat-like herbivores that were common and geographically widespread in Cenozoic fossil deposits of Australia and New Guinea.Typically they are regarded to be gregarious, terrestrial quadrupeds and have been likened in body form amon

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