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Duke With Benefits - Maid on a Mission P2 - Nova Media - Red Media - Nova Media
⏲ 37:17 👁 215K
Ngayong Linggo, kilalanin si Miss Universe Philippines 2024 Chelsea Manalo sa 'All-Out Sundays'<br/>Panoorin ngayong June 9, 12:00 p.m. on 'All-Out Sundays'! Watch the simulcast on Kapuso Stream and Pinoy Hits and All-Out Sundays Facebook page.
⏲ 0:15 👁 145K
Somehow Married to the CEO
⏲ 1:28:59 👁 405K
Brother Marquis of 2 Live Crew , Dead at 58.<br/>The rapper's death was confirmed by the group's manager on June 3, 'USA Today' reports. .<br/>A cause of death has yet to be revealed.<br/>2 Live Crew member Uncle Luke <br/>took to X to pay tribute to Brother Marquis. .<br/>2 Live Crew member Uncle Luke <br/>took to X to pay tribute to Brother Marquis. .<br/>My Condolence goes out to the <br/>Family of Brother Marquis and so <br/>many of his Fans from around the <br/>World after learning his passing, Uncle Luke, via X.<br/>We took on so many fights <br/>for the culture (and) made <br/>Great music together <br/>something I would never forget. , Uncle Luke, via X.<br/>2 Live Crew's 1989 album, 'As Nasty As They Wanna Be,' made history as the country's \
⏲ 1:31 👁 22.1M
Many Trump supporters are holding shares in Trump Media & Technology Group and, in some cases, purchasing more shares, following the former president's recent conviction in New York. Professional investors have warned against investing in TMTG, citing the company's high valuation despite its poor financial performance and the various risks it faces, including Trump's legal troubles and potential electoral outcomes. There is also a risk that Trump could cash out his shares, negatively impacting shareholders. Supporters remain unwavering in their belief in Trump and the potential of Truth Social, despite the risks.
⏲ 0:39 👁 290K
Taking your dog out on a walk? Make sure that when you do, you’re not too distracted by your phone or the podcast you might be listening to as paying attention to your dog while out in the world is good for their mental health, good for your shared bond and important for their safety and well-being. Yair Ben-Dor has more.
⏲ 1:19 👁 320K
Olympic boxing gold medallist Nicola Adams has a created self-defence lesson for women - to empower them in vulnerable situations.<br/><br/>The online session features the West Yorkshire star demonstrating different boxing techniques and basic defence moves.<br/><br/>It is five minutes long to allow for busy schedules – and includes moves the star might use ahead of a big fight in the ring as well as confidence techniques.<br/><br/>The video is available to watch for free on YouTube [https://www.youtube.com/watch?v=OsMNmVSUhdI].<br/><br/>It comes as research of 2,000 women by Bodyform found 53 per cent have felt vulnerable and insecure at times, while 46 per cent have felt unsafe.<br/><br/>These feelings have been provoked when walking down the street at night (61 per cent), on public transport (40 per cent) and even walking outside in the daytime (35 per cent).<br/><br/>Although more than half (53 per cent) have already turned to sport or exercise as a way of improving how they feel about themselves, be that physically or mentally.<br/><br/>And 27 per cent said being physically stronger helps them to feel safer, more confident and empowered as a woman.<br/><br/>Nicola Adams, OBE, who is working with the feminine protection brand to empower women, said: “Bodyform’s Superiority campaign is important, and comes at a time where we are aware as a nation that women have a right to feel strong and protected, but more work needs to be done.<br/><br/>“The class we’ve created together aims to providewomen+ with tools to help them feel more protected, empowered and to increase their sense of self-worth.<br/><br/>“I’ve always set out to challenge norms and to encourage women to believe in themselves, and this is just another way together we can help to break barriers.”<br/><br/>The study, carried out via OnePoll.com, found 73 per cent of women don’t believe they should feel threatened by anyone in any situation, due to their gender.<br/><br/>Although those who have felt strong and safe in recent months admit this was when they were at work (45 per cent), out with a group of friends (27 per cent) and at the gym (16 per cent).<br/><br/>To help themselves to feel more confident, 42 per cent of women try to eat well and 38 per cent stick to being in familiar places such as their hometown.<br/><br/>Just under three in 10 (28 per cent) will spent time outside, 27 per cent focus their efforts on being physically strong and 21 per cent do lots of exercise.<br/><br/>Of those who have turned to sport or exercise to improve their physical or mental health, 67 per cent admit it helps them to feel good about themselves and many like the sense of focus (44 per cent) or purpose (36 per cent).<br/><br/>But there are a number of barriers still preventing women from being heard, and feeling protected – such as louder, more confident characters (41 per cent), body images pressures (38 per cent) and decision makers being predominantly male (24 per cent).<br/><br/>Women would like to feel stronger and empowered when walking down the street (39 per cent), in medical settings (32 per cent) and at work (31 per cent).<br/><br/>While others want to be secure and comfortable in the pub (24 per cent), in nightclubs (20 per cent0 and when running in public (15 per cent).<br/><br/>A spokesperson for Bodyform [https://www.bodyform.co.uk/] said: “Partnering with Nicola felt completely right, as everything she stands for as a woman aligns with what we are about – strength, both physically and mentally, equality and inclusion.<br/><br/>“We’re not just about words, we’re about solutions, and Nicola allows us to do that by creating a self-defence class accessible for everyone and which champions female empowerment.<br/><br/>“Women often face situations where their comfort and protection and security is threatened, and we want challenge and change that.”<br/><br/>TOP 15 THINGS THAT MAKE WOMEN FEEL MORE EMPOWERED:<br/><br/>1. Eating well or healthily<br/>2. Being in a familiar place e.g. hometown<br/>3. Being knowledgeable on a discussion topic<br/>4. Spending more time outside<br/>5. Being physically strong<br/>6. Men understanding female issues<br/>7. Challenging myself to do things outside of my comfort zone<br/>8. Surrounding myself with family when home<br/>9. Being with others rather than alone<br/>10. Surrounding myself with friends when out and about<br/>11. Females having important roles in the workplace<br/>12. Lots of exercise<br/>13. Practicing mindfulness or meditation<br/>14. Safe spaces for women e.g. drop in centres<br/>15. Being on the phone to someone if I’m out on my own
⏲ 1:52 👁 530K
Inside Out 2 | Final Trailer<br/><br/>Disney and Pixar’s “Inside Out 2” opens in theaters nationwide in just 10 days, inviting moviegoers inside the mind of newly minted teenager Riley just as Headquarters undergoes a sudden demolition to make room for something entirely unexpected: new Emotions. Check out an all-new trailer and feel free to share.<br/> <br/>In the follow-up to 2015’s Oscar®-winning “Inside Out,” Joy, Sadness, Anger, Fear and Disgust—who’ve long been running a successful operation by all accounts—aren’t sure how to feel when Anxiety, Envy, Ennui and Embarrassment show up. The voice cast includes Amy Poehler, Maya Hawke, Kensington Tallman, Liza Lapira, Tony Hale, Lewis Black, Phyllis Smith, Ayo Edebiri, Lilimar, Grace Lu, Sumayyah Nuriddin-Green, Adèle Exarchopoulos, Diane Lane, Kyle MacLachlan, Paul Walter Hauser and Yvette Nicole Brown. “Inside Out 2” is directed by Kelsey Mann, produced by Mark Nielsen and executive produced by Pete Docter, Jonas Rivera and Dan Scanlon. The film features a screenplay by Meg LeFauve and Dave Holstein and story by Mann and LeFauve. With music by Andrea Datzman, the all-new feature film releases only in theaters June 14, 2024.
⏲ 1:29 👁 715K
A tangled affair
⏲ 2:35:34 👁 330K
Get a look behind the scenes of Pixar's highly anticipated animated film, \
⏲ 1:31 👁 175K
Welcome back to our channel. Today, we are going to take you to the Great Wall of China, in Shenzhen city. Join us as we walk and climb this amazing replica structure and enjoy the beautiful scenery. <br/><br/>Make sure to watch this video until the end as we will show you something that you won't expect to see here.<br/><br/>Metro: Line 5 Baigelong Station Exit D then take a bus or taxi to Qiushuishan Park (求水山公园)<br/><br/>► Subscribe https://www.youtube.com/shenzhenpages<br/>► Support https://buymeacoffee.com/shenzhenpages<br/>► Support https://ko-fi.com/shenzhenpages<br/>► Follow https://linktr.ee/shenzhenpages<br/>___________________________________________________<br/>#walking #shenzhen #china<br/><br/>Gun Boi Kaz - GODLESS WOMAN\
⏲ 9:55 👁 80K
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 \
⏲ 4:9 👁 75K
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