This review article examines the state-of-the-art of EMI-AM and discusses challenges and opportunities of the technology in many sectors, from medicine to security and industrial monitoring.

A comprehensive review published in the Journal of Dermatologic Science and Cosmetic Technology delves into the intricate mechanisms and cutting-edge applications for understanding and managing Sensitive Skin Syndrome (SSS), a prevalent but often misunderstood condition affecting a significant portion of the global population.

The article, entitled “Sensitive Skin Syndrome: Research Progress on Mechanisms and Applications,” synthesizes current scientific knowledge to explore the multifactorial nature of SSS, which is characterized by subjective symptoms like stinging, burning, and itching in response to stimuli that normally should not provoke such reactions.

A new review highlights the potential of bioelectrical impedance technology (BIT) as a non-invasive tool for diagnosing and monitoring neurological disorders. The study underscores its real-time capabilities in stroke, brain tumors, epilepsy, and other brain conditions, paving the way for more precise and personalized care.

In a pioneering study that combines economic and social analysis with environmental insights, researchers are examining the determinants of carbon emissions in West Java, Indonesia. The study, titled "Assessing Economic and Social Determinants of Carbon Emissions Towards Sustainable Development in West Java, Indonesia," is led by Prof. Robert Kurniawan from the Department of Statistical Computing at Polytechnic Statistics STIS and the Department of Population and Environmental Education at the Faculty of Post-Graduate, State University of Jakarta, Indonesia. This research offers a detailed examination of how economic and social factors influence carbon emissions, providing valuable insights for sustainable development.

Plant roots are the hidden engines of crop survival, and enhancing their growth is key to resisting environmental stress. 

A research team has demonstrated how advanced drone-based thermal imaging can be used to more accurately measure canopy temperature (CT) in wheat fields by disentangling experimental signals from environmental and technical noise.