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Stress and Hypertension Among African American Female Family Caregivers of Persons Living With Alzheimer Disease and Related Dementias: Protocol for a Pilot Internet-Based Randomized Controlled Trial
CONCLUSIONS: This study’s findings demonstrate the feasibility of conducting an internet-based intervention (MIM DASH) for African American women with hypertension who also care for families living with ADRD. These results will inform the design of a larger randomized controlled trial to evaluate the intervention’s efficacy and scalability further. →
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Long-term mortality outcome of a primary care-based mobile health intervention for stroke management: Six-year follow-up of a cluster-randomized controlled trial
CONCLUSIONS: Despite no observed statistically difference on stroke cause-specific mortality, the 12-month SINEMA intervention, compared with usual care, significantly associated with reduced all-cause and cardiovascular cause-specific mortality during 6 years of follow-up, suggesting potential sustained long-term benefits to patients experiencing stroke. →
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MRR (Monthly Recurring Revenue) – Ежемесячный повторяющийся доход. Как важно для бизнеса иметь стабильный доход от подписок или …
MRR (Monthly Recurring Revenue) – Ежемесячный повторяющийся доход. Как важно для бизнеса иметь стабильный доход от подписок или регулярных платежей каждый месяц. Как отслеживание MRR помогает планировать финансовую стабильность и рост. #Маркетинг #ИИ #ИИМенеджмент #Менеджмент #Продуктовыймененджмент →
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Вертекс — ваш партнер в фармацевтике
Производство лекарств для различных потребностей в здравоохранении. →
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Replit Ghostwriter AI vs GitHub Copilot: Accelerate Product Development Without Hiring
Replit Ghostwriter AI is a real-time coding assistant that accelerates development workflows by providing intelligent code suggestions tailored to the user’s current project Its ability to streamline coding processes helps startups scale their product offerings more quickly increasing time-to-market and driving revenue growth By reducing reliance on large development teams Ghostwriter lowers operational costs associated… →
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Meet Open Deep Search (ODS): A Plug-and-Play Framework Democratizing Search with Open-source Reasoning Agents…
Meet Open Deep Search (ODS): A Plug-and-Play Framework Democratizing Search with Open-source Reasoning Agents The rapid advancements in search engine technologies integrated with large language models (LLMs) have predominantly favored proprietary solutions such as Google& GPT-4o Search Preview and Perplexity& Sonar Reasoning Pro. While these proprietary systems offer strong performance, their closed-source nature poses significant… →
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A Code Implementation of Monocular Depth Estimation Using Intel MiDaS Open Source Model on Google Colab with PyTorch and OpenCV…
A Code Implementation of Monocular Depth Estimation Using Intel MiDaS Open Source Model on Google Colab with PyTorch and OpenCV Monocular depth estimation involves predicting scene depth from a single RGB image—a fundamental task in computer vision with wide-ranging applications, including augmented reality, robotics, and 3D scene understanding. In this tutorial, we implement Intel’s MiDaS… →
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Association of energy source with outcomes in en bloc TURB: secondary analysis of a randomized trial
CONCLUSIONS: Different energy sources might achieve comparable perioperative outcomes. Further perspectives involve the assessment of long-term differential oncological outcomes associated with various energy modalities. →
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TokenBridge: Bridging The Gap Between Continuous and Discrete Token Representations In Visual Generation…
TokenBridge: Bridging The Gap Between Continuous and Discrete Token Representations In Visual Generation Autoregressive visual generation models have emerged as a groundbreaking approach to image synthesis, drawing inspiration from language model token prediction mechanisms. These innovative models utilize image tokenizers to transform visual content into discrete or continuous tokens. The approach facilitates flexible multimodal integrations… →
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MoSCoW метод – Метод расстановки приоритетов. Как правильно расставлять приоритеты в задачах с помощью деления на 4 категории: M…
MoSCoW метод – Метод расстановки приоритетов. Как правильно расставлять приоритеты в задачах с помощью деления на 4 категории: Must have (обязательно), Should have (желательно), Could have (по возможности), Won’t have (не сейчас). Это помогает эффективно управлять временем и ресурсами при разработке продукта. #Маркетинг #ИИМенеджмент #Продукт #Продуктовыймененджмент #ИИ →
