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Home invasion at Tahmoor | June 4, 2024 | Illawarra Mercury
⏲ 1:27 👁 5.1M
How to Chart Accurately and Where Not to Cut Corners - Nurse Charting - @LevelUpRN
⏲ 7 minutes 17 seconds 👁 32.7K
Catheter Sample of Urine (CSU) OSCE 2021
⏲ 4 minutes 46 seconds 👁 43K
ARY News 11 PM Headlines 31st May 2024 | PM Big Decision - Big News
⏲ 13:22 👁 85K
NCLEX Test Taking Strategy & Mindset | Nurse Mike's NCLEX Review Series
⏲ 8 minutes 2 seconds 👁 69.6K
SBAR Nursing Example: Nurse-to-Physician Communication Report NCLEX
⏲ 12 minutes 26 seconds 👁 92K
Understanding Privacy and Data Collection on WhatsApp, Facebook, and Telegram
⏲ 4:0 👁 155K
FREE Clinicals Template Pack! #shorts #nursingnotes #nursingschool #nursing #nurseinthemaking
⏲ 14 seconds 👁 2.1K
Foley Catheter Mistakes to Avoid as a Nurse
⏲ 1 minute 13 seconds 👁 13.2K
Session 17: Deployment of Machine Learning Models in Open RAN Networks
⏲ 4:9 👁 75K
Charting for Nurses | How to Understand a Patient's Chart as a Nursing Student or New Nurse
⏲ 12 minutes 4 seconds 👁 149.6K
How to Choose the Right Nursing Specialty Career
⏲ 4 minutes 23 seconds 👁 46.9K
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_home-invasion-at-tahmoor-124-june-4-2024-124-illawarra-mercury.webp "Police collecting evidence Lintina Street at Tahmoor after a violent, overnight home invasion on Monday, June 3, 2024. Video by Robert Peet")
_how-to-chart-accurately-and-where-not-to-cut-corners-nurse-charting-leveluprn.webp "Level Up RN")
_catheter-sample-of-urine-csu-osce-2021.webp "Emer Diego")
_ary-news-11-pm-headlines-31st-may-2024-124-pm-big-decision-big-news.webp "#pmshehbazsharif #electricity #big news #headlines <br/><br/>PM Shehbaz Sharif to visit China June 4-8: FO<br/><br/>Global Parents Day: Celebrating Adaptability and Growth<br/><br/>Pakistan Polio Eradication Program chief Dr Shahzad Baig ‘resigns’<br/><br/>Israel pummels Gaza as troops push into central Rafah<br/><br/>7 killed as van plunges into gorge in Malam Jabba<br/><br/>Budget 2024-25: Pakistan likely to unveil relief package for power consumers<br/><br/>COAS General Asim Munir, Azerbaijan’s FM discuss regional stability<br/><br/>Hyderabad blast death toll rises to six with over 60 injured<br/><br/>Muslim nurse in US fired after calling Israel’s war in Gaza ‘genocide’<br/><br/>Follow the ARY News channel on WhatsApp: https://bit.ly/46e5HzY<br/><br/>Subscribe to our channel and press the bell icon for latest news updates: http://bit.ly/3e0SwKP<br/><br/>ARY News is a leading Pakistani news channel that promises to bring you factual and timely international stories and stories about Pakistan, sports, entertainment, and business, amid others.")
_nclex-test-taking-strategy-amp-mindset-124-nurse-mike39s-nclex-review-series.webp "Simple Nursing")
_sbar-nursing-example-nurse-to-physician-communication-report-nclex.webp "RegisteredNurseRN")
_understanding-privacy-and-data-collection-on-whatsapp-facebook-and-telegram.webp "In this comprehensive video, we dive deep into how WhatsApp, Facebook, and Telegram manage your privacy and what data they collect. With billions of users worldwide, it's crucial to understand how these popular messaging platforms ensure the security of your information. From end-to-end encryption and privacy settings to data sharing and user rights, we cover everything you need to know to protect your digital privacy. Stay informed and make educated decisions about your online communications.<br/><br/>Chapters:<br/>0:00 Introduction<br/>1:30 WhatsApp: Privacy and Data Collection<br/>12:45 Facebook: Privacy and Data Collection<br/>25:30 Telegram: Privacy and Data Collection<br/>38:00 Conclusion<br/><br/>Tags:<br/><br/>WhatsApp Privacy<br/>Facebook Privacy<br/>Telegram Privacy<br/>Data Collection<br/>End-to-End Encryption<br/>Digital Security<br/>Online Privacy<br/>Social Media Security<br/>Messaging Apps Security<br/>Data Protection<br/>WhatsApp Features<br/>Facebook Features<br/>Telegram Features<br/>Internet Safety<br/>Privacy Settings<br/>Secure Messaging<br/>Privacy Tips<br/>Meta Platforms<br/>Pavel Durov<br/>Digital Privacy 2024<br/>Viral Privacy Tips")
_free-clinicals-template-pack-shorts-nursingnotes-nursingschool-nursing-nurseinthemaking.webp "NurseInTheMaking")
_foley-catheter-mistakes-to-avoid-as-a-nurse.webp "RegisteredNurseRN")
_session-17-deployment-of-machine-learning-models-in-open-ran-networks.webp "Welcome back to our journey through the world of Open RAN and machine learning. In this session, In this session, we'll explore the deployment of machine learning models in Open RAN networks, focusing on practical examples and deployment strategies.<br/><br/>Deployment Example:<br/>Consider a scenario where an Open RAN operator wants to optimize resource allocation by predicting network congestion. They decide to deploy a machine learning model to predict congestion based on historical traffic data and network conditions.<br/><br/>Deployment Steps:<br/><br/>1. Data Collection and Preprocessing:<br/>The operator collects historical traffic data, including throughput, latency, and user traffic patterns.<br/>They preprocess the data to remove outliers and normalize features.<br/><br/>2. Model Development:<br/>Data scientists develop a machine learning model, such as a regression model, to predict congestion based on the collected data.<br/>They use a development environment with libraries like TensorFlow or scikit-learn for model development.<br/><br/>3. Offline Model Training and Validation (Loop 1):<br/>The model is trained on historical data using algorithms like linear regression or decision trees.<br/>Validation is done using a separate dataset to ensure the model's accuracy.<br/><br/>4. Online Model Deployment and Monitoring (Loop 2):<br/>Once validated, the model is deployed in the network's edge servers or cloud infrastructure.<br/>Real-time network data, such as current traffic conditions, is fed into the model for predictions.<br/>Model performance is monitored using metrics like prediction accuracy and latency.<br/><br/>5. Closed-Loop Automation (Loop 3):<br/>The model's predictions are used by the network's orchestration and automation tools to dynamically allocate resources.<br/>For example, if congestion is predicted in a certain area, the network can allocate additional resources or reroute traffic to avoid congestion.<br/><br/>Subscribe to \")
_charting-for-nurses-124-how-to-understand-a-patient39s-chart-as-a-nursing-student-or-new-nurse.webp "RegisteredNurseRN")
_how-to-choose-the-right-nursing-specialty-career.webp "RegisteredNurseRN")
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