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People are loving Ryan Gosling’s \
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HIDDEN LOVELatest Full Nigerian Movies 2024 / HIDDEN LOVE 2024 / bollywood new hindi movie / HIDDEN LOVE (2024) Hindi Film Dailymotion /ScreenSaga official
⏲ 1:22:17 👁 160K
Termination 2019 English Full Movie
⏲ 1:22:0 👁 115K
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STUDIOCANAL today reveals an exclusive look at the first trailer and poster for THE OUTRUN, starring four-time Oscar ® Nominee Saoirse Ronan (LADY BIRD) alongside Emmy nominee Paapa Essiedu (I MAY DESTROY YOU), BAFTA winner Stephen Dillane (ALEX RIDER) and Saskia Reeves (SLOW HORSES).<br/><br/>Directed by Nora Fingscheidt (SYSTEM CRASHER), THE OUTRUN debuted to critical acclaim at Sundance and the Berlin International Film Festival earlier this year, and will have its UK premiere as the Opening Night film at the Edinburgh International Film Festival in August.<br/><br/>THE OUTRUN will be released in cinemas across the UK & Ireland on Friday 27 September 2024.<br/><br/>Adapted from the best-selling memoir of the same name by Amy Liptrot, THE OUTRUN is a searingly honest drama about addiction, survival and the power of nature to restore life and renew hope, set in the wild northern Orkney islands.<br/><br/>After a decade away in London, 29-year-old Rona (Saoirse Ronan) returns home to the Orkney Islands.<br/><br/>Sober but lonely, she tries to suppress her memory of the events which set her on this journey of recovery.<br/><br/>Slowly the beauty and lore of the land enters her inner world and – one day at a time – Rona finds hope and strength in herself among the heavy gales and the bracingly cold sea.<br/><br/>THE OUTRUN was developed by Sarah Brocklehurst of Brock Media, Dominic Norris of Arcade Pictures, Saoirse Ronan and Jack Lowden, with the support of BBC Film and Screen Scotland.<br/><br/>Brocklehurst, Norris, Ronan and Lowden produced the film, and were joined by co-producers Jonas Weydemann and Jakob D. Weydemann of Weydemann Bros, and Shirin Hartmann.<br/><br/>Protagonist Pictures has arranged the financing, with Luane Gauer, Janina Vilsmaier, George Hamilton and James Pugh executive producing alongside Claudia Yusef for BBC Film, Kieran Hannigan for Screen Scotland and Maria Logan and Anne Sheehan for MBK Productions.<br/><br/>Liptrot’s memoir of the same name won the 2016 Wainwright Prize and the 2017 PEN Ackerley Prize and was a Sunday Times Top Ten Bestseller. The book was translated into 15 languages, selling over 110,000 copies in the UK alone, and was added by publisher Canongate to its modern classics list, The Canons.
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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 \
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The minute you're gone I cry<br/>The minute you're gone I die<br/>Before you walk out of sight<br/>I'm like a child all alone at night<br/>I stare into emptiness<br/>I'm filled with such loneliness<br/>The world goes from right to wrong<br/>The minute you're gone<br/>The minute you're gone<br/>I see<br/>How lonely a man I'll be<br/>My life would be oh so blue<br/>If i couldn't be with you<br/>The Minute you're gone I pray<br/>The minute you're gone I say<br/>Please don't stay away too long<br/>The minute you're gone<br/>How lonely a man I'll be<br/>(My life would be oh so blue)<br/>If i couldn't be with you<br/>The Minute you're gone I pray<br/>The minute you're gone I say<br/>Please don't stay away too long<br/>The minute you're gone<br/><br/>Songwriter: Jimmie Gately
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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
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A teenage girl is harassed by a stalker who torments her with threatening notes and phone calls.
⏲ 1:36:36 👁 60K
Limbo is a 2021 Hong Kong action thriller film directed by Soi Cheang (郑保瑞 Cheang Pou-soi) and starring Gordon Lam Ka-tung (林家棟), Cya Liu Ya-se (刘雅瑟), Mason Lee Chun (李淳) and Hiroyuki Ikeuchi ( (池内 博之). The film is based on the novel Wisdom Tooth by Chinese novelist Lei Mi.<br/><br/>Probationary Inspector Will Yam (Mason) is a recent graduate of the police academy. Due to a wave of serial killings, Will is partnered with veteran officer Cham Lau (Gordon) of Regional Crime Unit, who was recently reinstated on the force. However, the duo is unable to solve the cases and instead causes a series of incidents. Later, Cham re-encounters a drug-addicted street urchin, Wong To (Cya), who ran over his wife and daughter in the past, and his anger makes him spiral out of control and continuously abuse her. Will clumsily loses his pistol, which is found by the serial killer. With the killer lurking in the city, a crisis grows closer.
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Lovely Dark and Deep (2023) English Movie
⏲ 1:27:14 👁 190K
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