CONCLUSION: These findings suggest that medium glycaemic index beverage intakes result in significantly higher blood glucose responses (i.e. PPGR) than low-glycaemic index beverage intakes in BCS. Additionally, BCS show an impaired glycaemic response to medium glycaemic index beverage intake and that the impaired glycaemic response might be related to pain sensitivity and endogenous analgesia in… →
INTRODUCTION: Sarcopenia is a condition that occurs more frequently in older adults. Although many types of exercise have been used in the treatment of sarcopenia, few studies have been conducted on different interventional environments for sarcopenia. The purpose of this study is to investigate the effects of aquatic exercise and land-based exercise on the body… →
INTRODUCTION: The annual prevalence of elder mistreatment (EM) in cognitively intact older adults is estimated to be 11%, yet the annual prevalence in older adults with Alzheimer’s disease and related dementias (AD/ADRD) is estimated to be as high as 75%. Associated with a decrease in quality of life and increase in risk of mortality, EM… →
CONCLUSION: Early treatment of anterior open bite, along with tongue tamers’ simplicity and aesthetics promoted the malocclusion correction and occlusal function restoration. →
Chemical reasoning involves intricate, multi-step processes requiring precise calculations, where small errors can lead to significant issues. LLMs often struggle with domain-specific challenges, such as accurately handling chemical formulas, reasoning through complex steps, and integrating code effectively. Despite advancements in scientific reasoning, benchmarks like SciBench reveal LLMs’ limitations in solving chemical problems, highlighting the need… →
Multimodal large language models (MLLMs) bridge vision and language, enabling effective interpretation of visual content. However, achieving precise and scalable region-level comprehension for static images and dynamic videos remains challenging. Temporal inconsistencies, scaling inefficiencies, and limited video comprehension hinder progress, particularly in maintaining consistent object and region representations across video frames. Temporal drift, caused by… →
Enabling artificial intelligence to navigate and retrieve contextually rich, multi-faceted information from the internet is important in enhancing AI functionalities. Traditional search engines are limited to superficial results, failing to capture the nuances required to investigate profoundly integrated content across a network of related web pages. This constraint limits LLMs in performing tasks that require… →
Large Language Models (LLMs) have become integral to various artificial intelligence applications, demonstrating capabilities in natural language processing, decision-making, and creative tasks. However, critical challenges remain in understanding and predicting their behaviors. Treating LLMs as black boxes complicates efforts to assess their reliability, particularly in contexts where errors can have significant consequences. Traditional approaches often… →
Large language models (LLMs) have become central to natural language processing (NLP), excelling in tasks such as text generation, comprehension, and reasoning. However, their ability to handle longer input sequences is limited by significant computational challenges, particularly memory overhead during inference caused by key-value (KV) caches. Since memory requirements scale linearly with sequence length, this… →