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Ole Miss All-American McKenzie Long ran a career best time of 10.92 seconds in the 100 meters on May 25, 2024 in Lexington, Kentucky, USA.
⏲ 0:23 👁 25K
A BBC Radio adaptation by Gilbert Travers Thomas of the screenplay by Robert Harner and John Dighton of the novel ISRAEL RANK by Roy Horniman.<br/><br/>Dennis Price recreates his starring role from the 1949 British comedy film KIND HEARTS AND CORONETS of \
⏲ 1:25:26 👁 15K
Series 1<br/><br/>Episode 1 00:00<br/>Taking Overs<br/><br/>Katrina Lyons was only visiting Cresdon Green, where she grew up, to borrow cash from her parents.<br/><br/>But when she tried to return to London, it turned out alien beings known as the Geonin had lowered a force field around the village - refusing to let anyone in or out.<br/><br/>Unfortunately almost everyone in the village is too cowardly, apathetic, polite or stupid to stand up to this alien menace, so Katrina has no choice but to start the resistance movement herself. In the cricket pavilion.<br/><br/>In this episode, the force field around the village is keeping out all the rain, so the villagers can no longer moan about the weather.<br/><br/>Uljabaan realises this means they're moaning about him instead. So he distracts villagers with a cricket match - aliens versus humans - whilst trying to build a device to simulate rain.<br/><br/>Katrina sees an opportunity to sabotage Uljabaan's computer - if she can keep the match going long enough...<br/><br/>Katrina Lyons ...... Hattie Morahan<br/>Field Commander Uljabaan ...... Julian Rhind-Tutt<br/>Margaret Lyons ...... Jan Francis<br/>Richard Lyons ...... Peter Davison<br/>Lucy Alexander ...... Hannah Murray<br/>Computer ...... John-Luke Roberts<br/><br/>Producer: Ed Morrish<br/><br/>First broadcast on BBC Radio 2 in March 2013.<br/><br/>Episode 2 28:49<br/>Minimum Volume<br/><br/>In this episode, Uljabaan is working on an education programme for after the invasion, creating a list of books suitable for children to read. His chosen advisor is Mrs Leeson from the charity shop.<br/><br/>Katrina is confident she could do a better job, and hopes she could use it for subversive purposes - so she volunteers. But can she sneak anything past Uljabaan? And can she convince Lucy she's not really being a traitor?<br/><br/>Katrina Lyons ...... Hattie Morahan<br/>Field Commander Uljabaan ...... Julian Rhind-Tutt<br/>Margaret Lyons ...... Jan Francis<br/>Richard Lyons ...... Peter Davison<br/>Lucy Alexander ...... Hannah Murray<br/>Computer ...... John-Luke Roberts<br/><br/>Episode 3 57:33<br/>Power Block<br/><br/>In this episode, Uljabaan is busy with a construction project and asks Margaret to help with some routine duties in the village - collecting data, checking up on the man they put down the old well, that sort of thing.<br/><br/>Katrina is dismayed - he's too busy to oppress the humans, so he's getting them to do it to each other.<br/><br/>But the construction project involves opening up the force-field that surrounds the village. Can Katrina and Lucy sneak a message into the outside world?<br/><br/>Katrina Lyons ...... Hattie Morahan<br/>Field Commander Uljabaan ...... Julian Rhind-Tutt<br/>Margaret Lyons ...... Jan Francis<br/>Richard Lyons ...... Peter Davison<br/>Lucy Alexander ...... Hannah Murray<br/>Computer ...... John-Luke Roberts<br/><br/>Episode 4 1:26:22<br/>Little Green Lights<br/><br/>Uljabaan's superior officer Gryvook is coming for an assessment visit. Uljabaan is hoping to get the go-ahead to invade the rest of Earth - but first he has to prepare a welcome banquet. Tradition dictates he should serve a human child...
⏲ 1:55:13 👁 15K
बॉलीवुड एक्ट्रेस जाह्नवी कपूर और राजकुमार राव की फिल्म ‘मिस्टर एंड मिसेज माही’ सिनेमाघरों में रिलीज हो चुकी है। इस बीच एक्ट्रेस अपने बिजी शेड्यूल से वक्त निकालकर अनंत अंबानी और राधिका मर्चेंट के दूसरे प्री-वेडिंग फंक्शन में पहुंची। <br/> <br/>Bollywood actress Jhanvi Kapoor and Rajkumar Rao's film 'Mr. and Mrs. Mahi' has been released in theatres. Meanwhile, the actress took time out from her busy schedule to attend the second pre-wedding function of Anant Ambani and Radhika Merchant. <br/> <br/>#JanhviKapoorFeedsShikharPahariyaAtAnantPreWedding,#JanhviKapoorVideoFromAnantSecondPreWedding,#AnantRadhikaSecondPreWedding, #JanhviKapoorLatestNews <br/>
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She was drugged but ran away and kissed a random man and this man changed her destiny
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A man who was diagnosed with stage four testicular cancer completed a half-marathon.<br/><br/>Callan Rogers, 28, ran a half-marathon in March despite being about to enter his sixth round of chemotherapy treatment.<br/><br/>Callan, from Stratford in London, was diagnosed at the age of 26.<br/><br/>When his latest round of treatment stopped working, he decided to run a half-marathon and completed it in two hours and 29 minutes.<br/><br/>Callan, a fire safety officer, said: \
⏲ 2:31 👁 30K
No matter how a terrible place the world is, there is always someone who proves that the good always wins. Maybe that’s the first and only chance given by a fate that has never been fair to you. The name of that chance that will change the fate of eighteen-year-old high school student Eylul (Oyku Karayel) is Ali Asaf Denizoglu (Gokhan Alkan). The story begins in a high school of a town in the Aegean region. After the two part ways, they cross paths again on the roof of Istanbul’s best hospital! The young brain surgeon Eylul tells her story while she gives a good beating to a group of bullies who raids the hospital’s emergency room. She was a rebellious girl who had changed schools many times and whom teachers didn’t want to deal with. Even when her father picked her up from the last school she got expelled from and beat her very bad, she did not shed a single teardrop. However, that day her whole life changes; the prayer of her grandmother, who ran a small hostel in Marmaris and opened her house to Eylul brings a miracle. \
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A sixteen-month-old girl had the sweetest interaction with these three horses. She excitedly ran up to the animals upon seeing them, and one by one the horses gathered around her. She lovingly petted and rubbed her head against them, and in turn they gently reciprocated her affection.
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First broadcast 7th November 1993.<br/><br/>In order to settle a dentist bill Lovejoy agrees to investigate the alleged drowning death of a man who reportedly fell or jumped from a ferry.<br/><br/>Ian McShane ... Lovejoy<br/>Dudley Sutton ... Tinker Dill<br/>Caroline Langrishe ... Charlotte Cavendish<br/>Diane Parish ... Beth Taylor<br/>Malcolm Tierney ... Charlie Gimbert<br/>Freddie Jones ... Arnold Tapie<br/>Pete Postlethwaite ... Terence Sullivan<br/>Maggie Ollerenshaw ... Kate Henshaw<br/>Michael Bertenshaw ... Malcolm Harbey<br/>Amelda Brown ... Maureen Sullivan<br/>Antonia Pemberton ... Mrs Normington<br/>Eeva-Maria Mutka ... Liedje (as Eeva-Mari Mutka)<br/>Edda Sharpe ... Claudia
⏲ 52:11 👁 10K
Hello and welcome to Session 16 of our Open RAN series! Today, we're diving into the fascinating world of machine learning and its impact on Open RAN networks. We'll be focusing on how machine learning can boost Open RAN performance, specifically in predicting throughput based on MCS coding schemes. This is a crucial aspect for optimizing network performance and resource allocation in Open RAN environments.<br/><br/>1. Introduction to Machine Learning in Open RAN:<br/>Machine learning plays a pivotal role in enhancing Open RAN networks by enabling predictive capabilities, particularly in throughput optimization. By leveraging machine learning models, Open RAN can predict throughput based on the Modulation and Coding Scheme (MCS) coding scheme. Throughput prediction is critical for optimizing network performance and efficiently allocating resources, ensuring a seamless user experience.<br/><br/>2. Developing Machine Learning Models for Throughput Prediction:<br/>Developing a machine learning model for throughput prediction in Open RAN requires several key considerations. Firstly, the model needs to be trained on a dataset that includes throughput data and corresponding MCS values. The model should be designed to handle the complex relationships between these variables and predict throughput accurately. Mathematical functions and algorithms such as regression and neural networks are commonly used for this purpose, as they can effectively capture the underlying patterns in the data.<br/><br/>3. Deployment of Machine Learning Models in Open RAN:<br/>The deployment of machine learning models in Open RAN involves several steps. Once the model is trained and validated, it is deployed to the network where it operates in real-time. The model continuously monitors network conditions and predicts throughput based on incoming data. This information is then used to dynamically allocate network resources, optimizing performance and ensuring efficient operation.<br/><br/>4. Training Data Acquisition Process:<br/>Acquiring training data for the machine learning model involves collecting throughput data and corresponding MCS values from the network. This data is then cleaned and formatted to remove any inconsistencies or errors. The cleaned data is used to train the model, ensuring that it can accurately predict throughput in various network conditions. The training data acquisition process is crucial as it directly impacts the accuracy and reliability of the machine learning model.<br/><br/>Subscribe to \
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For educational purposes<br/><br/>This military documentary looks at the last great German offensive of the First World War, the so-called 'Kaiserschlacht', or 'Emperor's Battle'. <br/><br/>Dubbed 'Operation Michael', this 1918 offensive saw the German Army amass 6,000 artillery pieces and a million troops to launch a devastating blow on the unsuspecting British and French lines. <br/><br/>Yet, after some of the bloodiest fighting of the entire war, and despite impressive initial German gains, the 'Kaiserschlacht' was doomed to failure as the Germans ran out of men and equipment. <br/><br/>After having broken the offensive and three years of stalemate, the Allies were able to finally defeat the German Army in the field. <br/><br/>Features archive footage, expert analysis and period imagery.
⏲ 47:31 👁 10K
The cricket-centric entertainer, Mr & Mrs Mahi - starring Janhvi Kapoor and Rajkummar Rao in titular roles in out, & here's our review of it! Watch video to know more <br/> <br/>#MrMrsMahi#JanhviKapoor #RajkummarRao #MrMrsMahiMovie #MahiMovie<br/>~PR.126~ED.134~
⏲ 4:40 👁 3.7M
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