Published Research

Nuclear Magnetic Resonance (NMR) spectroscopy is a powerful analytical technique used to determine molecular structure by analyzing the magnetic behavior of atomic nuclei in different chemical environments. This study applies ¹H, ¹³C, COSY, and HSQC NMR techniques to characterize a nitrogen- and sulfur-containing ligand (L1). By examining chemical shifts, integration, and coupling patterns, along with two-dimensional correlations, the structure and connectivity of atoms within L1 were successfully confirmed. The results highlight the effectiveness of NMR spectroscopy as a fundamental tool in structural elucidation in organic chemistry.

This research introduces a new AI memory system using geometric shapes called polytopes to help the AI learn and switch tasks faster. It works better than top models like Gemini and PaLM-E and makes the AI’s thinking easier to understand. This approach is new, effective, and important for building smarter and safer AI.

This paper examines catalytic hydrogenation in the food industry and its role in creating trans fats. It discusses the negative effects of trans fats on human health, particularly their impact on the lipid profile and related diseases. The study highlights the need for chemical awareness and regulatory measures to promote safer and sustainable food production.

This study developed a rule-based disease risk prediction model for cystic fibrosis patients that integrates microbiome composition, CFTR genetic variants, and clinical metadata using 16S rRNA sequencing data from public repositories. The model uses a baseline risk score of 50% with weighted adjustments for factors including CFTR mutations, clinical status, medications, age, and bacterial abundance to provide personalized risk assessments. Results demonstrated that therapeutic beta-lactam antibiotics significantly reduced microbiome diversity compared to subtherapeutic doses, correlating with increased exacerbation risk and highlighting the importance of preserving microbial diversity. This transparent, customizable framework advances precision medicine in cystic fibrosis management by providing clinicians with an evidence-based tool for individualized patient care.

Oftentimes medicine is viewed as a an effect on a person’s health, but rarely as a harm on the environment a person lives in. This is significance since in the long run a dangerous environment can cause damage to a person’s health, creating a cycle. Allopathic medicine has a higher chance of saving someone in critical care due to its fast reaction time but its creation and utilization poses a strain on ecological systems and waste control.