Pre-training large models on time series data faces several challenges: the lack of a comprehensive public time series repository, the complexity of diverse time series characteristics, and the infancy of experimental benchmarks for model evaluation, especially under resource-constrained and minimally supervised scenarios. Despite these hurdles, time series analysis remains vital across applications like weather forecasting,… →
Artificial intelligence hinges on using broad datasets, drawing from global internet resources like social media, news outlets, and more, to power algorithms that shape many facets of modern life. The training of generative models, such as GPT-4, Gemini, Cluade, and others, relies on often insufficiently documented and vetted data. This unstructured and obscure data collection… →
CONCLUSION: SSI can be diagnosed using a telephone questionnaire (obviating in-person assessment) in low resource settings. →
In computational linguistics, the interface between human language and machine understanding of databases is a critical research area. The core challenge lies in enabling machines to interpret natural language and convert these inputs into SQL queries executable by database systems. This translation process is vital for making database interaction accessible to users without deep technical… →
Methods like Molecular Dynamics simulations, Quantitative Structure-Property Relationships (QSPR), and First-Principles calculations are based on scientific principles and complex mathematical models. They require expensive computational resources, have limited accuracy with complex models, and heavily depend on the quality and quantity of available data. These methods for material development rely on physical synthesis and testing, which… →
Transformers are at the forefront of modern artificial intelligence, powering systems that understand and generate human language. They form the backbone of several influential AI models, such as Gemini, Claude, Llama, GPT-4, and Codex, which have been instrumental in various technological advances. However, as these models grow in size & complexity, they often exhibit unexpected… →
CONCLUSION: L-arginine supplementation can improve sexual function, particularly lubrication and orgasm, and mood in women with depression, with minimal side effects observed. Additional research is necessary to validate these results by examining the effects of higher dosages, extended durations, and larger populations of depressed patients. →
CONCLUSION: The study demonstrates that Single Bond Universal, Xeno V+, and Bifluorid 12 are equally effective in reducing dentin hypersensitivity, with no distinct superiority observed over a one-month period. The findings highlight the potential of fluoride varnishes as a less technique-sensitive and cost-effective option for treating DH, offering valuable insights for future research and clinical… →
CONCLUSIONS: Although primary care physicians and surgeons develop experience with MSK procedures in practice, this study demonstrates a role for early integrated instruction and simulation to improve accuracy and confidence. The goal of improving accuracy in MSK procedures amongst all primary care physicians may decrease costs and avoid unnecessary referrals, diagnostic tests, and earlier than… →