ROS System, Hospital Drug Delivery Robot, Autonomous Localization, Path Planning, Navigation Simulation Cheng, B. and Zhang, B.Y. (2025) Research on Autonomous Localization and Navigation Simulation ...

A standard reference thermoelectric module (SRTEM) for objectively measuring thermoelectric module performance has been developed in Korea for the first time. A research team led by Dr. Sang Hyun Park ...

A “standard reference thermoelectric module (SRTEM)*” for objectively measuring thermoelectric module performance has been ...

Black Book's approach is designed as a practical countermeasure. By maintaining year--round validity, applying audit-supported validation, and refining KPI definitions and weightings on a defined ...

NUS researchers have developed a vapor-deposition method that dramatically improves the long-term and high-temperature ...

Paul Gebhardt of Fraunhofer ISE discusses reliability issues facing advanced PV modules, an issue which isn't going anywhere.

Nous Research's open-source Nomos 1 AI model scored 87/120 on the notoriously difficult Putnam math competition, ranking second among 4,000 human contestants with just 30 billion parameters.

In an age of algorithms, social platforms, and endless data streams, the social sciences needs data-savvy thinkers more than ever. The Quantitative Methods Pathway (QMP) is your opportunity to build ...

Once you have determined your research question, the next step is to decide on a research design. As random assignment tends to be challenging in SoTL, most projects tend to fall into the ...

In the current climate, generic and expensive programs to promote diversity, equity, and inclusion—for example, trainings—are increasingly falling out of favor. In fact, most of the existing research ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Dynamically integrating new or rapidly evolving information after (Large) Language Model pre-training remains challenging, particularly in low-data scenarios or when dealing with private and ...