This book offers a comprehensive exploration of AI-driven analytics in finance, addressing market prediction, fraud detection, and risk assessment. It also discusses AI applications in healthcare and cybersecurity, including disease classification and biometric identification systems.
The book provides practical guidance on interpreting nonverbal signals and understanding micro-expressions, cultural influences, and deception detection. It enhances emotional awareness, empathy, and interpersonal effectiveness through hands-on exercises and real-world applications.
A new study reveals that even seemingly well-intentioned initiatives to help the disadvantaged side of a conflict can produce negative consequences. When humanitarian aid is not coupled with genuine political change, it may lead to moral satisfaction and decreased support for meaningful concessions for peace.
Researchers developed artificial mangrove roots that mimic natural mangrove root systems, serving as an additional option to mitigate erosion in areas where hard structures have caused negative end effects. AMRs allow water to pass through and help reduce wave impact, promoting sediment retention and enhancing shoreline stability.
Researchers developed an anionically-reinforced nanocellulose separator to tackle zinc dendrite growth and polyiodide shuttle effects in Zn-I2 batteries. The new separator enables long-cycle stability, addressing major barriers to safe and sustainable energy storage.
A new study published in Nature Human Behaviour found that letting go of unattainable goals can restore wellbeing and life satisfaction. Researchers from Curtin University discovered that shifting to new goals can reduce stress, anxiety, and depression, while quitting impossible goals is not a sign of weakness.
A meta-analysis of scientific literature reveals that pathogens are the primary driver of mass mortality events in sea urchins, with 33% of events attributed to them. Storms and extreme temperatures also play a significant role, with 25% and 24% of events respectively.
Researchers developed an RNA-based therapeutic strategy targeting mutant KRAS genes, stimulating the immune system to attack tumours. The treatment, combining antisense oligonucleotides and immunomodulatory RNA, effectively killed cancer cells in laboratory studies, reducing tumour burden and extending survival.
Researchers have discovered a key factor that determines whether a lithium-ion battery can charge and discharge reversibly, enabling the rational design of electrolytes. The new metric enables efficient prediction of an electrolyte's suitability and accelerates improvements in battery performance.
Researchers have identified the cells and connections underlying a fish's ability to dynamically change color to match its surroundings. The study found that specialized skin cells called melanophores control the color change, which helps the zebrafish evade predators by lightening its skin over tens of minutes.
Researchers developed a transparent and interpretable model to predict performance metrics of hydrogen storage materials, using atomic features as key descriptors. The model identified a fundamental trade-off between high capacity and suitable thermodynamic stability, revealing unique beryllium-based alloys with balanced characteristics.
The study introduces a promising methodology for elucidating dynamic and heterogeneous chemical signatures across evolving solid-liquid interfaces. Researchers used cryo-XPS to analyze the native SEI composition, revealing a mixed organic-inorganic structure.
Generative Artificial Intelligence could lead to a renewed emphasis on conversational approaches to teaching, researchers argue. This involves teachers and students exploring problems together, discussing ideas from different angles, and testing concepts through collaborative work.
Chinese researchers identify black holes as likely source of high-energy component of cosmic ray 'knee'. The study reveals a new 'high-energy component' in the proton energy spectrum, indicating that cosmic rays primarily originate from micro-quasars.
Researchers at RIKEN successfully simulated the Milky Way Galaxy with over 100 billion individual stars, far surpassing previous state-of-the-art models. This achievement demonstrates the power of AI-accelerated simulations in tackling complex multi-scale problems in astrophysics and beyond.