CONCLUSION: In comparison to LPC, 4% TG showed a stronger anesthetic effect on reducing injection pain after 60-minute application. It also generally presented a higher frequency of cutaneous reactions but didn’t affect the eyelid edema 24 h postoperatively. →
CONCLUSIONS: Unilateral heel pain as opposed to bilateral heel pain, was the most consistent positive predictor for the outcomes pain and function in plantar fasciopathy at 12-month follow-up. Hence, patients with bilateral PF may need extended assessment and treatment. Other predictors varied among outcomes. These findings may be used to improve clinical management of patients… →
BACKGROUND: Cognitive impairment is common in haemodialysis patients with no known beneficial interventions. Cooler dialysate slows brain white-matter changes, but its effect on cognition is unknown. This feasibility trial was performed to inform a fully-powered, randomised trial to assess this. →
CONCLUSION: We found that the outpatient treatment of COVID-19 patients with HAZDPac which includes Hydroxychloroquine and Azithromycin, was not associated with prolongation of QTc compared to placebo and QTc remained within normal range. →
CONCLUSIONS: We expect exercise to improve lower limb muscle strength and overall health outcomes compared to the waitlist control group. Results will contribute foundational knowledge needed to conduct larger-phase clinical trials testing the clinical benefits of prehabilitation exercise in this patient population. This study will provide insight into a prehabilitative exercise intervention designed to support… →
The rapid development of Large Language Models (LLMs) has transformed natural language processing (NLP). Proprietary models like GPT-4 and Claude 3 have set high standards in terms of performance but often come with drawbacks such as high costs, limited accessibility, and opaque methodologies. Meanwhile, many so-called open-source models fail to fully embody the ideals of… →
Natural Language processing uses large language models (LLMs) to enable applications such as language translation, sentiment analysis, speech recognition, and text summarization. These models depend on human feedback-based supervised data, but relying on unsupervised data becomes necessary as they surpass human capabilities. However, the issue of alignment arises as the models get more complex and… →
Large Language Models (LLMs) and neural architectures have significantly advanced capabilities, particularly in processing longer contexts. These improvements have profound implications for various applications. Enhanced context handling enables models to generate more accurate and contextually relevant responses by utilizing comprehensive information. The expanded context capacity has significantly strengthened in-context learning capabilities, allowing models to utilize… →