A recent study by Dr. Katie Matt and Daniel Hebert found an estimated $64 billion in fraudulent claims in the Paycheck Protection Program. The researchers recommend improved applicant verification, centralized fraud prevention efforts, and enhanced oversight to prevent similar fraud in future federal relief programs.
Researchers propose embedding ethics-based learning objectives across accounting and business curricula to better prepare students to recognize and prevent fraud. They recommend examining personal values, organizational culture, and workplace pressures that can contribute to fraud, as well as emerging technologies like AI.
Dr. Castro's research found that companies affected by ASC 606 reported higher revenue growth and more useful earnings information for investors. However, increased discretion also created opportunities for strategic manipulation of financial results when facing analyst pressure.
Researchers discovered coordinated chemical changes across multiple sites in bumble bee queens as they aged and took on reproductive roles. These changes suggest that chemical signals may be influenced by shared biological processes rather than operating independently.
SUNY Poly will leverage generative AI, advanced modeling, and university collaboration to strengthen U.S. Army strategic operations and readiness. The project aims to provide commanders with a decisive strategic advantage in an increasingly volatile global landscape.
SUNY Poly is part of a $19.9M NSF initiative to develop an AI-powered research platform for accelerating materials discovery. The platform will integrate automated synthesis equipment, robotics, and digital twin technology to simulate and remotely conduct experiments.
The project aims to improve understanding of mechanical ventilation and advance respiratory care technologies with a realistic laboratory model of the human lung. Researchers will create a lifelike testing environment to study airflow, pressure changes, and ventilator performance without relying on human subjects.
Researchers used computational fluid dynamics and experimentation to compare two ventilator modes and cuff geometries, finding that certain combinations can double airway stress. The study provides insights for ETT design and clinical decision-making.
A revolutionary new paper from SUNY Poly demonstrates macroscale superlubricity using carbon-coated metallic surfaces, reducing friction by up to 99.97% and enabling significant cost savings and environmental benefits. The study's findings have far-reaching implications for various industries.