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Is injectable platelet-rich fibrin really effective in alveolar osteitis? a randomised controlled clinical trial
CONCLUSION: I-PRF significantly reduces pain in AO patients compared to conventional treatment. These findings suggest that I-PRF could be a valuable addition to clinical practice, but further studies are needed to confirm its long-term effectiveness. →
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An assessment of the effects of simulation training on management of postpartum hemorrhage: short- and long-term impact on knowledge retention, skills and teamwork in the Democratic Republic of Congo
CONCLUSION: Simulation-based training has a part to play in training healthcare providers to manage post-partum hemorrhage. Training should be repeated after a period of 6 months to enhance knowledge and skill retention. →
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Study protocol of a German multi-center, observer-blind, randomized, and actively controlled parallel-group trial comparing maintenance electroconvulsive therapy to treatment as usual for relapse prevention in clozapine resistant schizophrenia
BACKGROUND: Schizophrenia is one of the most severe and costly mental disorders in terms of human suffering and societal expenditure. About 15-30% of patients do not respond to all known antipsychotics, including clozapine, the current gold standard in these cases. Electroconvulsive therapy (ECT) is well-known to be highly effective in clozapine-treatment-resistant schizophrenia (CRS), and synergistic… →
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Long-term health conditions and their impact on people with sleep disturbances and dementia
CONCLUSIONS: There is a complex relationship between LTCs, dementia and sleep and the effect of LTCs in someone with dementia may be underestimated. It is important that families know that people with dementia need adequate analgesia. In addition, tiredness and illness in family carers may mean they need support to implement strategies, or they will… →
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Qwen Researchers Proposes QwenLong-L1: A Reinforcement Learning Framework for Long-Context Reasoning in Large Language Models
Qwen Researchers Propose QwenLong-L1: A Reinforcement Learning Framework for Long-Context Reasoning in Large Language Models While large reasoning models (LRMs) have shown impressive capabilities in short-context reasoning through reinforcement learning (RL), these gains do not generalize well to long-context scenarios. Applications such as multi-document QA, research synthesis, and legal or financial analysis require models to… →
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Why Belonging Matters More Than Just Diversity
Patrick George/Ikon Images Creative workforces, accelerated business growth, and leaders who have learned how to harness their team’s diversity are all expected outcomes of well-executed diversity, equity, and inclusion (DEI) initiatives. Hiring to develop a more diverse workforce, however, doesn’t mean that these synergies will automatically accrue. Inclusive leaders need to understand that implementing DEI… →
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Researchers at UT Austin Introduce Panda: A Foundation Model for Nonlinear Dynamics Pretrained on 20,000 Chaotic ODE Discovered via Evolutionary Search
Researchers at UT Austin Introduce Panda: A Foundation Model for Nonlinear Dynamics Pretrained on 20,000 Chaotic ODEs Discovered via Evolutionary Search Chaotic systems, including fluid dynamics and brain activity, demonstrate high sensitivity to initial conditions, complicating long-term predictions. Small errors in modeling can escalate quickly, limiting the efficacy of many scientific machine learning (SciML) approaches.… →
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This AI Paper Introduces Differentiable MCMC Layers: A New AI Framework for Learning with Inexact Combinatorial Solvers in Neural Networks
Differentiable MCMC Layers: A New AI Framework for Learning with Inexact Combinatorial Solvers in Neural Networks Neural networks are powerful tools for tackling complex data-driven tasks. However, they often encounter difficulties when making discrete decisions under strict constraints, such as routing vehicles or scheduling jobs. These discrete decision problems, prevalent in operations research, are computationally… →
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The Impact of Internet Hospital Follow-Up on the Quality of Life of Patients With Epilepsy: Randomized Controlled Trial
CONCLUSIONS: Long-term follow-up through IHs can effectively improve the quality of life and reduce anxiety and depression in patients with epilepsy. This model provides effective support, making it an important tool for managing epilepsy. Therefore, IH management is recommended as a feasible approach for epilepsy follow-up in clinical practice. →
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Direct-Access Physiotherapy to Improve Access to Quality Care for Children and Adolescents Presenting to the Pediatric Emergency Department With Musculoskeletal Problems: The PEDPT-MSK Pilot Randomized Control Trial
OBJECTIVE: This pilot study aimed to evaluate the feasibility of conducting a randomized controlled trial (RCT) comparing direct-access physiotherapy for children and adolescents presenting to the pediatric emergency department (ED) with low acuity musculoskeletal complaints, to current usual care provided by a physician alone. DESIGN: Pragmatic parallel 2-arm, single-blinded, single site, feasibility pilot RCT. METHODS:… →