Academy for Science and Design

Social media, a widely used communication platform, has significant implications, especially for children and adolescents.This literature review examines the unethical marketing practices in social media and their harmful effects on younger audiences.The study highlights the exposure of youth to inappropriate content, privacy invasions, and unhealthy dietary influences through targeted advertising.The review also discusses the ethical concerns surrounding the use of artificial intelligence in marketing.The paper calls for stricter regulations, further research, and enhanced transparency to mitigate these negative impacts.

We report a mixture of expert strategy to create fine-tuned large language models using a deep layer-wise token-level approach based on low-rank adaptation (LoRA). Starting with a set of pre-trained LoRA adapters, our gating strategy uses the hidden states to dynamically mix adapted layers, allowing the resulting X-LoRA model to draw upon different capabilities and create never-before-used deep layer-wise combinations to solve tasks. The design is inspired by the biological principles of universality and diversity, where neural network building blocks are reused in different hierarchical manifestations. Hence, the X-LoRA model can be easily implemented for any existing large language model without a need for modifications of the underlying structure. We develop a tailored X-LoRA model that offers scientific capabilities, including forward/inverse analysis tasks and enhanced reasoning capability, focused on biomaterial analysis, protein mechanics, and design. The impact of this work includes access to readily expandable and adaptable models with strong domain knowledge and the capability to integrate across areas of knowledge. Featuring experts in biology, mathematics, reasoning, bio-inspired materials, mechanics and materials, chemistry, protein biophysics, mechanics, and quantum-mechanics based molecular properties, we conduct a series of physics-focused case studies. We examine knowledge recall, protein mechanics forward/inverse tasks, protein design, adversarial agentic modeling including ontological knowledge graph construction, and molecular design. The model is capable not only of making quantitative predictions of nanomechanical properties of proteins or quantum mechanical molecular properties but also reasoning over the results and correctly predicting likely mechanisms that explain distinct molecular behaviors.

Despite the many benefits of ambulatory surgery, there remain inherent risks associated with any surgical care environment that have the potential to jeopardize patient safety. This practice advisory provides an overview of the preoperative steps that should be completed to ensure appropriate patient selection for ambulatory surgery settings. In conjunction, this advisory identifies several physiologic stresses commonly associated with surgical procedures, in addition to potential postoperative recovery problems, and provides recommendations for how best to minimize these complications.