Wenger accepts when he has all of his players available – the likes of England duo Danny Welbeck and Jack Wilshere are still recovering match fitness – then he will have something of a selection headache. The Gunners boss revealed he saw Ozil’s role as “central…. behind the striker – or on the flank where he doesn’t like to play”, but is confident his squad have enough talent to adapt. “In our team anyway it is very flexible, when you play on the flank, to move inside,” he said. “Usually we have one player who is a raw winger and one player who is more midfielder player out there – until now it was Santi (Cazorla) many times, but I don’t know I have not decided yet.” In Ozil’s absence, Alexis Sanchez has become Arsenal’s talisman, the £32million summer recruit from Barcelona settling in much quicker to the Premier League. Wenger added: “Ozil is a fantastic player. He will come back very strong and we are in a position where we have the luxury to have him back now and where we have some players who are completely fresh and rested. “It can be very interesting if you manage to use them well. “At the moment for me it is a bit sensitive as every game is every important and I have to use players who have not played for four months. “(Theo) Walcott has been out for one year, so I have to use them at the right moment.” Ozil put in plenty of hours in the gym during his rehabilitation, in a move which Wenger believes will help the midfielder return stronger for the rigours of Premier League football, which at times proved something of a culture shock last season following a £42.5million switch for Real Madrid. “Ozil is fit and worked very hard and now it is down to him playing games,” said Wenger. “He has worked hard, I think he has taken to the fact that he wants to be stronger. “You have more time to focus on it. Every day he is in the gym, you also you don’t have the fatigue of the games – and it is better when you look in the mirror.” Wenger believes the combination of improved physical conditioning can only help develop the combative side to Ozil’s game. The Arsenal boss continued: “It is not only down to pure strength when you play football it is down to when to switch your strength on and the timing of your switch on, it is about giving a little push with the elbow. “I know players like Claude Makelele for instance were not monsters, but he went for a challenge he had the technique to use his strength in a very efficient way. It is a technique more than a power. “A guy who spends a bit of time in the gym kills his co-ordination and becomes more rigid, winning a challenge is down to flexibility and co-ordination, switching on all the muscles on at the same, right, time and that is not down to (just) lifting weights.” Ozil has just returned to the Gunners squad since suffering a knee injury in the defeat at Chelsea in early October, and made a cameo substitute appearance for the closing stages of the Barclays Premier League win over Stoke on January 11. Arsenal’s club record signing watched on from the bench as his team-mates battled to a 2-0 win at Manchester City last weekend, but along with fit-again Theo Walcott is expected to be involved for Sunday’s FA Cup fourth-round tie at Brighton. Press Association Arsenal can expect to see a stronger Mesut Ozil when the German playmaker gets back into full-on action, according to manager Arsene Wenger.
THE ‘Jump Rope’ phenomenon will take centre stage today at the Cliff Anderson Sports Hall today, when over 100 students, drawn from 50 primary and 50 secondary schools in eight districts around the country, compete in the inaugural National Skip to My Lou – Jump Rope Team Championship.The Skip to My Lou – Jump Rope competition originated in Linden and will take place today from 10:00hrs to 16:00hrs, thanks to the Ministry of Social Cohesion, Ministry of Education, National Sports Commission (NSC) and long-time supporter Banks DIH under their Coca Cola Brand.As per competition rules, each team will comprise five jumpers, who will be able to participate in Individual Freestyle, Individual Single Rope/Double Dutch Teams and Last Man Standing.Dr George Norton, Minister of Social Cohesion and who also holds the portfolio as the Minister responsible for Sport, said, “There is no doubt about the fact that this competition has numerous benefits, one of which is the fostering of social cohesion.“Participants will be able to develop better interpersonal skills through interaction with others from various educational districts. At the same time, the competition will allow for the students to engage in team-building.“It is our aim to very soon have a well-established National Jump Rope Federation in Guyana. With such a body in place, we will have jumpers to participate at world class competitions such as the Pan-American Jump Rope Competitions and the International Double Dutch League,” said Norton.The NSC ensured that Guyana, for the first, participated at this year’s World Jump Rope Championship and Camp, July 1 – July 10, at the University of Central Florida in Orlando, Florida. Shavin Green and Mackenzie High School student Adriell Wilson were Guyana’s representatives.According to Green the competition will allow for the growth in the sport, and also help to spot Guyana’s future representatives for next year’s World Jump Rope Championship.The Ministry of Public Telecommunications also came in for high praise, being named as one of the sponsors of the event, through the E-Governance unit.The Public Telecommunications Ministry donated two laptops as part of the prizes offered for the top performers.
Reviewed by James Ives, M.Psych. (Editor)Aug 24 2018Scientists at the University of North Carolina at Chapel Hill have created a new method of particle tracking based on machine learning that is far more accurate and provides better automation than techniques currently in use.Single-particle tracking involves tracking the motion of individual particles, such as viruses, cells and drug-loaded nanoparticles, within fluids and biological samples. The technique is widely used in both physical and life sciences. The team at UNC-Chapel Hill that developed the new tracking method uses particle tracking to develop new ways to treat and prevent infectious diseases. They examine molecular interactions between antibodies and biopolymers and characterize and design nano-sized drug carriers. Their work is published in the Proceedings of the Nationals Academy of Scientists.”In order to derive meaning from videos, you have to convert the videos into quantitative data,” said Sam Lai, Ph.D., an associate professor in the UNC Eshelman School of Pharmacy and one of the creators of the new tracker. “With current software, researchers must carefully supervise the video conversion to ensure accuracy. This often takes many weeks to months, and greatly limit both the throughput and accuracy.”We got tired of the bottleneck.”The root of the problem can be traced to the small number of parameters, such as particle size, brightness and shape, used by current software to identify the full range of particles present in any video. Things get missed because they don’t quite fit the parameters, and the parameters vary as different operators set them, Alison Schaefer, a Ph.D. student in the Lai lab, said. This creates a tremendous challenge with data reproducibility, as two users analyzing the same video frequently obtain different results.”Self-driving cars work because they can see and keep track of many different objects around them in real time,” said M. Gregory Forest, Ph.D., the Grant Dahlstrom Distinguished Professor in the UNC Departments of Mathematics and Applied Physical Sciences, and co-senior author on the project.”We wondered if we could create a version of that kind of artificial intelligence that could track thousands of nanoscale particles at one time and do it automatically.”Related StoriesArtificial intelligence can help accurately predict acute kidney injury in burn patientsAI coach feasible and useful for behavioral counseling of teens in weight-loss programArtificial intelligence can be used to efficiently diagnose rare diseasesAs it turns out, they could and used their discovery to launch Chapel Hill-based AI Tracking Solutions, which is seeking to commercialize the new technology. The company has received a Small Business Technology Transfer award from the National Institutes of Health to commercialize the technology.Lai and his collaborators in the UNC Department of Mathematics designed an artificial neural network to go to work on their problem. Neural networks are loosely based on the human brain but learn by being fed a large number of examples. For example, if a neural network needs to recognize photos of dogs, it is shown lots of photos of dogs. It doesn’t need to know what a dog looks like; it will figure that out from the common elements of the photographs. The better the examples, the better the neural network will be.The UNC team first taught the neural network tracker from a truth set of computer-generated data. They then further refined the tracker using high-quality data from past experiments conducted in Lai’s lab. The result was a new tracker with thousands of well-tuned parameters that can process a highly diverse range of videos fully automatically, is at least 10 times more accurate than systems currently in use, is highly scalable, and possesses perfect reproducibility, Lai said. The team documented their achievement in the Proceedings of the National Academy of Sciences.The new system is ready just in time to support the increasing availability of powerful microscopes capable of collecting terabytes of high resolution 2D and 3D video in a single day, said Jay Newby, Ph.D., lead author of the study and an assistant professor at the University of Alberta.”Tracking the movement of nanometer-scale particles is critical for understanding how pathogens breach mucosal barriers and for the design of new drug therapies,” Newby said. “Our advancement provides, first and foremost, substantially improved automation. Additionally, our method greatly improves accuracy compared with current methods and reproducibility across users and laboratories.” Source:https://pharmacy.unc.edu/news/2018/08/23/unc-builds-better-particle-tracking-software-using-artificial-intelligence/