Customers Unhappy at Winners Inc. Delay

first_imgCustomers at the offices of Winners Incorporated on Broad Street.Many unhappy customers of Winners Incorporated recently prevented some staff members of the company from leaving its head office on Broad Street, because their winnings were not paid by the management.They told journalists that the company failed to pay their winnings, which prompted their action. “I have lost a lot of money with Winners in the past and when the time came to pay us what we won, they refused to do so,” one of the unhappy customers said.He said information came from Winners Incorporated suggesting to them to take their grievance to the National Lottery Authority (NLA), one of the disgruntled customers said Winners Incorporated management is aware that most of the customers cannot seek any legal help.“Some of us (people with winning tickets) are worried and don’t know if we will continue to play with Winners Incorporated because of the situation,” one said.Several of the customers also accused Winners Incorporated of not responding to their concerns since they have been partners in their betting game.A lady customer refused the company’s claim that “it does not have to pay when the odd number is not correct. But how can I know if the odd number is correct? Anytime I win big money, they can say the odd number is not correct and so they will not pay.”“They just fooled us every day because they delayed paying our money,” another customer said.Responding to Winners Incorporated, a man who asked not to be identified because he was not authorized to speak said the company engaged the unhappy customers and finally paid out their winnings. He could not explain the cause for the delay and refused to get into the details on the odds that was seemingly responsible for the crisis.He, however, denied that the delay in payment was deliberate and intended to fool them. “We have been in the sports betting business for a long time and we always take care of our customers,” he said. “We have settled their concerns and all is fine.”Sports betting have been around for some time and another company Doxxbet Liberia Inc. is also said to be a strong competitor in the sector.Said a spokesman: “We at Doxxbet Liberia Inc. are always aware of our responsibility, including the odds we are offering. We understand that Liberian customers deserve a high-quality service and that is what we have been offering for many years. We will try to keep the same level of effort and dedication, so our customers always consider us fair and trustworthy company.”Share this:Click to share on Twitter (Opens in new window)Click to share on Facebook (Opens in new window)last_img read more


first_imgFEATURES: It was an amazingly successful day at the Junk Kouture Northern Regional finals for Deele College, with three teams being selected for the grand final in the 3 Arena, which will pit the best student designers in the country against one another.While three of Deele’s entries made it to the final , the other three entries narrowly missed out on the short list but are still in the running and still hoping to be selected as a wildcard selection for the grand finale. The outfit ‘Trashparency’ made by Breenagh Golden, Shannon Collins and Chloe Lafferty ‘White Lightning’ made by Louise Brogan and Megan Barnett and ‘Osiris’ made by Diarmuid Drumm, Nicole Kelly and Coral Morning all made it through to the Grand Final.The outfits ‘Atlantic Queen’ made by Rebecca Quinn, Nicole Kavanagh and Shannon laird ‘Nailed It’ by Shannon McNamee, Rachel and Jessica Wood and lastly ‘Splish, Splash, Splosh’ by Courtney Downey, Louise Brogan and Rachel O’Donnell narrowly missed out on the shortlist.Louise Brogan from ‘White Lightning’ explained that their dress was made from shredded paper rolled into small quills, recycled crisp bags and broken CD’s. When her team began to make the dress they decided early on that they wanted to make a glamorous dress and they would take their time with it. They started in late October and finished earlier this year.She spoke about how long it took to curl up the paper using a quilling tool and each individual crisp bag had to be rolled up and cut into eight squares to make up the bottom of the dress. Louise said she and her team are really looking forward to the Grand Final. We would like to take this opportunity to wish all the teams good luck in the Grand Final which will be staged in the 3 Arena in Dublin on the 14th of April.DEELE COLLEGE STUDENTS SHOW ‘THRASHPARENCY’ FOR JUNK KOUTURE EVENT was last modified: March 10th, 2016 by Mark ForkerShare this:Click to share on Facebook (Opens in new window)Click to share on Twitter (Opens in new window)Click to share on LinkedIn (Opens in new window)Click to share on Reddit (Opens in new window)Click to share on Pocket (Opens in new window)Click to share on Telegram (Opens in new window)Click to share on WhatsApp (Opens in new window)Click to share on Skype (Opens in new window)Click to print (Opens in new window) Tags:deele collegeEntertainmentFeaturesJunk Kouturenewslast_img read more

Want to ensure that nobody has Christmas dinner alone?

first_imgThe Christmas Dinners for those alone on Christmas Day is, once again, being organised by Kathy O’Connor and her team of volunteers in Letterkenny.Radisson Blu Letterkenny has been involved since day one and has, again, agreed to prepare the main course, sponsoring the bulk of the cost.Letterkenny Chamber’s role in this most valuable annual event is gathering up the various items that are required to make this event a success. Now the Chamber has put out an appeal for those willing to help in any way.Anne Condon of Letterkenny Chamber said “Kathy and myself have made up a list of things that are required and we are hoping that Letterkenny Chamber members will, as usual, provide what is needed to cater for the expected 100 guests.”A wish list includes rackers, soft drinks, tea, coffee, sugar, table-cloth rolls, napkins, black bags, Christmas pudding, mince pies, tin foil containers etc. There will also be fresh goods to be purchased such as milk and cream.Organisers are trying to provide a small gift for each guest as they leave and this is normally in the form of a box of sweets, a book, soaps, etc. If you are a Chamber member or a member of the general public who wants to help out, simply get in contact with Anne at anne@letterkenychamber.comWant to ensure that nobody has Christmas dinner alone? was last modified: November 28th, 2017 by StephenShare this:Click to share on Facebook (Opens in new window)Click to share on Twitter (Opens in new window)Click to share on LinkedIn (Opens in new window)Click to share on Reddit (Opens in new window)Click to share on Pocket (Opens in new window)Click to share on Telegram (Opens in new window)Click to share on WhatsApp (Opens in new window)Click to share on Skype (Opens in new window)Click to print (Opens in new window) Tags:Christmas DinnerletterkennyRadisson Blulast_img read more

AI Diagnoses Genetic Syndromes Just From Patients Pictures

first_img(Credit: Andrey_Popov/Shutterstock)An algorithm is able to identify genetic syndromes in patients more accurately than doctors can — just by looking at a picture of a patient’s face. The results suggest AI could help diagnosis rare disorders.“This is a long-awaited breakthrough in medical genetics that has finally come to fruition,” Karen Gripp, a medical geneticist at the Nemours Alfred I. duPont Hospital for Children in Wilmington, Delaware and co-author of the new paper, said in a statement. “With this study, we’ve shown that adding an automated facial analysis framework … to the clinical workflow can help achieve earlier diagnosis and treatment and promise an improved quality of life.”Daunting DiagnosisSevere genetic syndromes affect about six percent of children born globally. Detecting them early on can help with treatment but getting an accurate diagnosis is often a lengthy and expensive process. Part of the problem is that there are hundreds of genetic syndromes and many are rare. Correct diagnosis, and thus early treatment, frequently relies on doctors’ experience and whether they have encountered an individual’s condition before. But machine learning could change that.Gripp and colleagues wanted to create artificial intelligence that could identify genetic syndromes from images of patient’s faces. To that end, the team built DeepGestalt, a technology that analyzes facial features for traits that are characteristic of particular genetic syndromes. The researchers used a dataset of more than 150,000 patients to train the algorithm, they report in a new study published today in Nature Medicine.DeepGestalt’s algorithm first identifies landmarks on the patient’s face — the eyes, nose and mouth for example — and then crops the image into regions just 100×100 pixels in size. Next, the tech assesses each of these regions using deep convolutional neural networks, a machine learning technique that has become the leading model for automated image classification. For every facial region, DeepGestalt’s analysis returns a probability for each syndrome. Then it compiles data from the entire image into a prediction.Beats the ExpertsWhen Gripp and colleagues put DeepGestalt to a diagnostic test, it outperformed clinicians. In one test, Gripp and colleagues trained DeepGestalt on a set of more than 600 images of patients with Cornelia de Lange syndrome, a genetic condition that causes developmental delays and growth defects, and about 1100 non-patient images. DeepGestalt identified patients with the syndrome with nearly 97 percent accuracy, the researchers report. In contrast, a cohort of 65 experts only achieved 75 percent accuracy when presented with a similar diagnostic challenge.In another test, the researchers trained the model using more than 17,000 images of patients with over 200 distinct genetic syndromes. Using that knowledge, the tech was able to place 500 patients’ genetic syndromes in a list of top-10 possibilities in more than 90 percent of cases.“The increased ability to describe [patient traits] in a standardized way opens the door to future research and applications,” said Yaron Gurovich, chief technology officer at FDNA Inc., the Boston, Massachusetts-based company that developed the tech. “It demonstrates how one can successfully apply state of the art algorithms, such as deep learning, to a challenging field.”last_img read more