Back in the 1960s, MIT professor Seymour Papert handed his students what seemed like a straightforward summer project: attach a camera to a computer and teach it to describe what it sees by dividing images into objects, backgrounds, and “chaos.” What seemed like a simple task laid the groundwork for one of the most revolutionary… →
CONCLUSION: Early home visits combining NBO with standard care enhance maternal confidence and the mother’s understanding of her infant. The small sample size makes it difficult to conclude whether repeated NBO sessions during the first month increase dimensions of maternal sensitivity in mother-infant interaction at 4 months postpartum. →
CONCLUSION: Women with breast cancer who undergo neurotoxic chemotherapy are thought to alleviate neuropathy symptoms and enhance their quality of life through simple home-based exercises. Nonpharmacological, applicable interventions, such as hand-foot exercises, can be integrated into patient education and care practices during the chemotherapy process. →
CONCLUSIONS: Shorter 2- and 4-hour daily bleaching with 10% CP is noninferior to the 8-hour protocol. →
CONCLUSIONS: The recruitment rate was lower than anticipated. An active recruitment process is advised if a future efficacy study is to be conducted. Adherence to the Activity Coach app was high, and it may be able to support older adults with HF in being physically active. →
CONCLUSION: This study highlighted emotional and social burdens of EoE. The encouraging feedback on study participation underscores the importance of patient insights in developing holistic management strategies for EoE. →
Scientific research is often constrained by resource limitations and time-intensive processes. Tasks such as hypothesis testing, data analysis, and report writing demand significant effort, leaving little room for exploring multiple ideas simultaneously. The increasing complexity of research topics further compounds these issues, requiring a blend of domain expertise and technical skills that may not always… →
Large Language Models (LLMs) aim to align with human preferences, ensuring reliable and trustworthy decision-making. However, these models acquire biases, logical leaps, and hallucinations, rendering them invalid and harmless for critical tasks involving logical thinking. Logical consistency problems make it impossible to develop logically consistent LLMs. They also use temporal reasoning, optimization, and automated systems,… →
Owing to the advent of Artificial Intelligence (AI), the software industry has been leveraging Large Language Models (LLMs) for code completion, debugging, and generating test cases. However, LLMs follow a generic approach when developing test cases for a different software, which prevents them from considering the software’s unique architecture, user requirements and potential edge cases.… →