first_imgWaterford Childcare Committee Board members Rena Cody and Derek O’Byrne pictured with TÚSLA Area Manager Jim Gibson, Minister of Children and Youth Affairs Dr. James Reilly, TD, Mayor of Waterford City and County Councillor James Tobin, Ciara Conway, TD, Waterford City and County Manager Michael Walsh, Waterford Childcare Committee CEO Rose Murphy pictured at the “Working Together For Children” event at the Dunhill Multi-Education Centre, Dunhill – David Clynch PhotographyNo Garda checks on Limerick fosterers. TÚSLA Area Manager Jim Gibson. David Clynch – PhotographyCHILDREN in foster care in Limerick have been left at massive risk with 146 people either fostering or living with them who have not been approved by Gardaí.A report from HIQUA, the health services watchdog, highlighted significant shortfalls in the service, with 30 foster parents and 116 people over the age of 16 in foster homes that were not Garda vetted.Inspections also revealed that allegations of abuse or neglect were not being managed correctly and in a timely fashion, there was a shortfall in recruitment and therefore in the number of foster carers and no social workers allocated to support foster parents in many cases.Sign up for the weekly Limerick Post newsletter Sign Up The report states that “not all allegations were comprehensively assessed. There was a system for formally notifying the foster care committee of an allegation of abuse, but not all allegations were reported to the committee and those which were notified, were not notified in a timely way”.A team of eight inspectors visited foster homes in the Mid West last March and their findings showed three areas of major non-compliance. These were in relation to safeguarding and child protection; supervision and support and reviews of foster carers”.The report states that inspectors also found major problems with supervision and support. 30 general and six relative foster carers had no social worker assigned to them, while the majority had not received the recommended formal supervision.“There were seven foster care households without a link worker who also had children who were without an allocated social worker, which posed a significant risk. The frequency of home visits to these foster carers was insufficient.“Where foster carers were allocated a social worker, there was not a sufficient level of home visits to ensure supervision and support to foster carers. Records of discussions between foster carers and social workers following home visits were of mixed quality. There was no out-of-hours service available to meet the needs of foster carers.”Crucially, the report discovered that the majority of reviews “did not contain evidence that the views of the child were sought”.In response to a query from the Limerick Post as to whether Gardaí vetting was completed in the six months since the report was published, a spokesperson for TUSLA said: “Garda vetting is actively being progressed for foster carers and those over 16, where necessary. Additionally, there is a system in place to alert staff when updated Garda vetting is due”.Tusla chief operations officer Jim Gibson said that HIQA inspection reports were an important measurement tool and allowed them ensure that their services were continuously improving and were of a high standard.“The report highlighted excellent practice in areas such as training and the quality of assessments of foster carers. There were also a number of areas that require improvement such as supervision and the timeliness of reviews. These areas are being actively addressed through a comprehensive action plan which has been submitted to HIQA.“The actions in the action plan will be closely linked to Tusla’s major transformation programme which will enhance many aspects of the agency, including organisational culture, HR strategy, governance systems, and further corporate functions.” When the Limerick Post contacted HIQUA, a spokesperson could not say whether Garda vetting had taken place in the six months since the inspections.Limerick Labour Party TD Jan O’Sullivan said the report raised serious concerns.“I am particularly concerned that there was no Garda vetting of family members in many cases. It is just not acceptable that vulnerable children are living in homes where no Garda vetting has been carried out on people living in that household.She said the report confirmed the acute shortage of social workers which was an issue she has been campaigning on.“There is an urgent need to recruit more social workers and to put measures in place to retain those already in the service. As well as a shortage of social workers, there is also a shortage of foster carers in the Mid-West.”Deputy O’Sullivan added that “while it is encouraging that an action plan has been put in place and we are fortunate to have so many dedicated and caring foster families, it is essential that the issues of vetting and shortage of social workers are given urgent attention”.Visit the Limerick Post News section for similar news. Linkedin Print Previous articleLimerick public transport to drive anti-racism messageNext articleLimerick Rose Kayleigh Maher makes finals Bernie Englishhttp://www.limerickpost.ieBernie English has been working as a journalist in national and local media for more than thirty years. She worked as a staff journalist with the Irish Press and Evening Press before moving to Clare. She has worked as a freelance for all of the national newspaper titles and a staff journalist in Limerick, helping to launch the Limerick edition of The Evening Echo. Bernie was involved in the launch of The Clare People where she was responsible for business and industry news. Email NewsNo Garda checks on Limerick fosterersBy Bernie English – August 18, 2017 1353 center_img Twitter WhatsApp Facebook Advertisementlast_img read more

first_imgColumnsIntersection Of Artificial Intelligence, Copyright And COVID Justice Prathiba M. Singh25 Jun 2020 6:57 AMShare This – xThe topic for today’s discussion at first look can appear extremely confusing and hazy. However, a deeper analysis would show that the topic is extremely well thought out and relevant. The term Artificial Intelligence (“AI”) has been used in recent years in almost every field of human life. Every social and economic aspect seems to have some benefit from the use of AI. What…Your free access to Live Law has expiredTo read the article, get a premium account.Your Subscription Supports Independent JournalismSubscription starts from ₹ 599+GST (For 6 Months)View PlansPremium account gives you:Unlimited access to Live Law Archives, Weekly/Monthly Digest, Exclusive Notifications, Comments.Reading experience of Ad Free Version, Petition Copies, Judgement/Order Copies.Subscribe NowAlready a subscriber?LoginThe topic for today’s discussion at first look can appear extremely confusing and hazy. However, a deeper analysis would show that the topic is extremely well thought out and relevant. The term Artificial Intelligence (“AI”) has been used in recent years in almost every field of human life. Every social and economic aspect seems to have some benefit from the use of AI. What is AI? Intelligence is a gift which human beings have been vested with naturally. The level of intelligence varies from species to species and generations to generations. However, when intelligence is embedded in a machine, not naturally but by enabling it in the form of input, analysis and output, it is machine intelligence or AI. The advantage of artificial intelligence or AI as is commonly known is the capability to be able to process and analyse very high volumes of data for arriving at conclusions based on some pre-determined parameters. For example, if an AI software is run on this particular event, by giving it the relevant data i.e., the footage, at the end of the event, the software can throw up results as to how many attendees were attentively listening, how many attendees had simply logged in and how many attendees were actually yawning and were bored 😊. Thus, AI can be utilised for the most mundane jobs such as starting the microwave or the washing machine at a pre-determined time upon a simple command, or predict the outbreak of a pandemic. As per the WHO’s website, it received information from Wuhan about the virus on the eve of the new year i.e. 30th December 2019. A week thereafter, the first alert from the WHO about the coronavirus outbreak was issued. Flights were however continuing across the world and movement of people was not stopped. The pandemic was finally declared as a PANDEMIC on 11th March 2020. However, a Canadian AI company called BlueDot had used AI- powered algorithms to analyze information from a multitude of sources to identify disease outbreaks and forecast how they may spread. By sifting through 100,000 news reports in 65 languages a day, BlueDot recognized patterns between health outbreaks and travel, and made predictions about the COVID outbreak on 31st December, 2019. If this prediction had been immediately transmitted across the world and international travel had been curbed, maybe the pandemic could have been contained. The speed of AI though, sometimes threatening and overwhelming, can be used in certain areas for the betterment of society and humanity as a whole. So how does AI work and what is its interface with Intellectual Property and with Covid-19? As the world continues to wrestle to find a prevention or cure for the virus, AI can be and, is in fact being utilised, for analysis, research of large quantum of data to identify various aspects of the virus. For example: AI uses data based on news reports, social media platforms and government documents to identify, track and forecast outbreaks;AI algorithms help in developing drugs by understanding the protein structure of the virus;AI mathematical models are used to predict a flattened curve;AI tools are also being employed by social media platforms to detect and erase fake news about the pandemic to ensure clean information;Companies have created medical platforms to map ICU beds/patient count in hospitals;In India, the Aarogya Setu app has been developed. Data received by the App using mobile phone with GPS is fed to the AI to track travel and secondary contact information in order to track the transmission. The challenge with AI is three-fold – 1) The availability of data, which could be privacy protected data or copyrighted datasets 2) The parameters or inputs required to analyse the data. 3) Finally, the treatment to be meted to the conclusions of the said analysis. During the outbreak of Covid-19, reports have been received in respect of various strains of the virus, which have affected people. The strains are not identical and neither are the symptoms nor the intensity of the disease. While research is taking place in separate pockets across the world, there is no humanly possible way to analyse the global data emanating from the virus without the use of AI. The sheer magnitude of analysis of this data can be imagined by considering the large number of players/ entities, who are involved in the diagnosis, management, treatment, prevention and cure of this disease. Diagnostic laboratories, government departments doing contact-tracing, the various applications and the data collected by the said applications, the medical records of all those persons who have undergone testing, the nature of treatment given in different parts of the world, the mortality data, the recovery data, quantities of masks, PPE kits etc. being used to predict the required demand and to correlate this with production – all this data cannot be analysed without the power of AI. Thus, AI can be an extremely efficient tool in finding a fast and effective solution to this unprecedented pandemic outbreak. The global community is conscious of the power of AI. Hence, there are various steps that have been taken to facilitate the use of AI for the protection of public health. Various AI tools such as CORD-191, COVID-19 Research Explorer,2 COVID Scholar3 are all AI-based tools, which are made available to scientists and medical researchers to give the input data and to obtain answers to their various queries. So long as the data is not copyright protected, it can be used for analysis and research and for providing positive outcome. Interface between Intellectual Property and Artificial Intelligence: The interface between IP rights and AI can be of two kinds: 1) IP can be a barrier, which shields data from being used by AI softwares. 2) IPR can be used to protect the outcomes of AI Thus, IP rights can be both a sword and a shield while dealing with AI. To ensure that IP is not a barrier, it is important to make access to copyrighted databases easy and possible. Organizations across the world are conscious of the need for making copyrighted databases easily available. Various endeavours have been made by right-holders to not insist on IP rights during the Covid-19 outbreak. Examples of these endeavours are as under: University of Kyoto COVID Pledge – Won’t assert any patent, design or copyright against any activities aimed at stopping the spread of COVID 19 including diagnosis, prevention, containment as well as treatment. Open COVID Pledge – Top acquires of IP and multinational companies like IBM, Intel, Microsoft, Amazon, Facebook, Fujitsu, Uber, SAP Labs, amongst other have joined this Creative Commons backed project, to ensure availability of their resources to fight against the COVID 19 pandemic.Publishers and Journals have been significantly adopting open publishing practices, making content freely available, in order to share their findings related to COVID rapidly. More than 50 publishers have made all their COVID related publications freely accessible, resulting in more than 50,000 research articles being available for open access at PubCentral. Using AI technology, a group of research scientists (at Institute of Cancer Research) have also developed a digital coronavirus knowledgebase, to organise large amounts of COVID research as and when it keeps becoming available.Search Platform: WIPO has recently announced a search platform to aid during the pandemic. The search platform is part of WIPO’s established PATENTSCOPE online search database that allows users to look for published worldwide (PCT) applications. This facility is available for keyword search to search, retrieve and analyse the selected technologies in 10 languages making it accessible to some extent. Changes in Copyright Law: In addition, various countries have enacted special provisions in their copyright laws to make Text and Data Mining (TDM) easier. Countries such as UK, Japan, and the EU have incorporated specific fair dealing and fair use provisions to enable use of copyrighted material and also reproduction of lawfully accessed copyright materials for use in AI systems. Examples of such statutes which have been amended are · Section 29A of the Copyright, Designs and Patents Act of UK: “Copies for text and data analysis for non-commercial research (1) The making of a copy of a work by a person who has lawful access to the work does not infringe copyright in the work provided that— the copy is made in order that a person who has lawful access to the work may carry out a computational analysis of anything recorded in the work for the sole purpose of research for a non-commercial purpose, and (b) the copy is accompanied by a sufficient acknowledgement (unless this would be impossible for reasons of practicality or otherwise). ….” · Article 30-4 of the Copyright Act of Japan “(Exploitation without the Purpose of Enjoying the Thoughts or Sentiments Expressed in a Work): It is permissible to exploit a work, in any way and to the extent considered necessary… … (iii) if it is done for use in data analysis (meaning the extraction, comparison, classification, or other statistical analysis of the constituent language, sounds, images, or other elemental data from a large number of works or a large volume of other such data” · Articles 3 & 4 of the European Copyright Directive “Article 3: Text and data mining for the purposes of scientific research: 1. Member States shall provide for an exception to the rights provided for in Article 5(a) and Article 7(1) of Directive 96/9/EC, Article 2 of Directive 2001/29/EC, and Article 15(1) of this Directive for reproductions and extractions made by research organisations and cultural heritage institutions in order to carry out, for the purposes of scientific research, text and data mining of works or other subject matter to which they have lawful access.…..” “Article 4: Exception or limitation for text and data mining 1. Member States shall provide for an exception or limitation to the rights provided for in Article 5(a) and Article 7(1) of Directive 96/9/EC, Article 2 of Directive 2001/29/EC, Article 4(1)(a) and (b) of Directive 2009/24/EC and Article 15(1) of this Directive for reproductions and extractions of lawfully accessible works and other subject matter for the purposes of text and data mining.….” Insofar as India is concerned, a database is protected as a literary work under Section 2(c) of the Copyright Act. In view of the fact that databases, which are currently being assimilated in various organizations, would not be individual-centric but machine-centric, these databases would be computer-generated databases. Thus, the author of these databases under Section 2(d)(vi) would be the person or entity who is causing the work to be created. Thus, in the case of laboratories, hospitals, government entities, research organizations, university etc. who are collecting and assimilating data, the respective entities would be the authors of these collective databases and would be the owners of the copyright in respect of these databases. The use of these databases for the purpose of research would be permissible so long as it constitutes fair dealing under Section 52(1)(a)(i). Insofar as the law of fair dealing is concerned, the legal principles governing fair dealing are quite well-settled4. These judgements clearly lay down that fair dealing is permissible, especially if the use is of a transformative nature. Broadly, the purpose of the use of the work, the commercial nature of the exploitation, the competition that it may provide to the original owner, the character of use etc. would determine as to whether the use is fair or not. Thus, insofar as the use of copyrighted datasets is concerned, the respective entities, who own the copyright therein, can do their own research using AI softwares. If any independent researcher wishes to use the same, it may be permissible if it is fair dealing. One word of caution would be the use of medical records of patients available in laboratories and in hospitals. Recently, Justice Srikrishna who headed the Committee for drafting India’s data protection law, while speaking at a Webinar on the challenges in personal data protection, said that in the situation of Covid, where data is necessary for statistical probability, the law should ensure data anonymisation, where only numbers and no personal information can be utilised. IP Protection to Outcomes of AI: Coming to the second aspect i.e., the outcome of use of AI, what are the rights and who owns the rights in the same? Various rights could be generated from the outcomes of AI. Several copyrightable data sets may be created. Diagnostic tools, better pandemic management products, quicker manufacturing using a combination of AI and 3D printing, potential vaccines and drug molecules etc., may be generated using AI analysis. The rights in these outcomes would belong to the organisations which have undertaken the research using AI. All outcomes of AI are initiated by humans who are in turn employed by organisations. The same rules as are applicable to other forms of IP generated by these organisations would be applicable even here. The fact that AI may be used, does not vest the IP in the computer or the AI tool. AI and Law: Coming now to AI and law – how AI can be used to speeden up dispensation of justice, there are various solutions that are available to use AI as an effective tool for justice dispensation. AI softwares would primarily require input data and analytical parameters to arrive at a conclusion. In law, the input data would be the facts and documents relating to a particular case, the parameters for analysis would be the settled judicial precedents and the applicable statutes. The outcome would be the recommendation of the AI system as to what the order or judgment should be. To put it simply, if the facts and the documents of a case are fed into the AI system and the AI system is pre-programmed with the relevant statutes and the case laws, it would apply the facts to the law and give the most suitable conclusion based on the said parameters. An algorithm would be, therefore, required to be developed at 2 levels. Level 1 would be the structure of such an AI system, which could be a constant for all legal disciplines. Level 2 would be the parameters for a specific area of law or discipline. Each AI system developed in this manner could be used for expedited adjudication of the cases, especially in areas which are not so complex. For example, in case of traffic challans, complaints under the Negotiable Instruments Act, bail applications, and other similar areas, AI tools can be easily used to predict the outcome. There could be concerns such as bias in the parameters which are programmed and the lack of a humane touch in adjudication. It is not in every case that a human touch would be required to adjudicate a dispute. There are various examples wherein AI has been used for granting a bail, or for resolving a traffic challan and has been proved to be extremely effective. For instance, the validity of outcome by an AI based bail recidivism tool (COMPAS) was judicially upheld by the Supreme Court of Wisconsin in US in the case of Loomis v Wisconsin.5 The Court said that if used properly with an awareness of the limitations and cautions, a circuits court’s consideration of a COMPAS risk assessment at sentencing does not violate a defendant’s right to due process. The interface between AI and law is one that could provide a very effective solution for expedited adjudication of certain categories of cases where human intervention can be minimal. The use of AI in law could be easily described as PAC- Law: Processing, Analysis and Conclusion. The conclusions, which are arrived at using AI systems, can also be supervised or monitored by a fully qualified Judicial Officer. The time required to simply monitor or supervise, even on a random basis, would be much less than what is spent today. AI systems in law can provide enormous assistance to Judges, who require research on a daily basis in particular fact situations. The data that is collected on the National Judicial Data Grid can, if subjected to an AI analysing software, produce miraculous results in terms of reducing the inconsistency in decision making, contradiction in decision making, and inefficiency in decision making. Thus, PAC can be an effective AI tool used in the field of law for the purpose of processing analysis of facts and law to arrive at a just conclusion. Every technological tool comes with its own risk. However, before employing such tools, the risk-benefit analysis would have to be done in a gradual and a phased manner so as to ensure that the AI tool or system does not bypass the Judge. For those who have read Dan Brown’s Origin, where an AI software bypassed its creator to create havoc, the picture can be bleak. However, the sheer large quantum of AI tools being currently used in the world in almost all fields, clearly, shows that such outcomes as in this book are at best, fictional. Adequate controls can be placed to ensure that AI is used just as digital technologies for greater efficiency, better solutions with a human face.  Next Storylast_img read more

first_imgvmargineanu/iStock(HOUSTON) — Remains found in Arkansas are confirmed to belong to 4-year-old Maleah Davis, a Houston girl who had been missing for one month, officials with the Harris County Institute of Forensic Scientists said Monday.The cause and manner of her death are pending.Community activist Quanell X said Maleah’s mother’s ex-fiance, Derion Vence, confessed to dumping the 4-year-old’s body in Arkansas, ABC Houston station KTRK reported on Friday.Houston detectives then rushed to Arkansas, where remains were found in a garbage bag on Friday, said police.The remains could not be immediately identified, pending an autopsy.Maleah, whose disappearance captured the attention of the nation, was reported missing on May 4.Vence, who was caring for Maleah while her mother was away, had told police the little girl was abducted by three men, including one who knocked him out during a carjacking, but Houston Police Chief Art Acevedo said that detectives didn’t believe the story.Investigators found the family’s car in Missouri City, Texas, and authorities said cadaver-sniffing dogs detected the scent of human remains inside.Vence was arrested on May 11 and charged with tampering with evidence, said police.“Maleah was everyone’s child … in this city,” Houston Mayor Sylvester Turner said Friday. “The sadness surrounding Maleah Davis’ disappearance has captured the hearts of our city and our nation.”Copyright © 2019, ABC Radio. All rights reserved.last_img read more

first_imgBrooklyn Comes Alive recently announced its massive artist lineup, with over 100 artists slated to perform 35+ sets across two days in the heart of Williamsburg, Brooklyn. This year, the event is expanding to two days, September 23rd and 24th, and will take over three of Brooklyn’s premier venues—Brooklyn Bowl, The Hall at MP, and Music Hall of Williamsburg—all within a 10-minute walking radius. Fans’ imaginations have been running wild dreaming up what band lineups may be formed from the extensive roster of musicians. The guessing game is always one of the most fun parts of the Brooklyn Comes Alive experience, but today we’re ready to roll out some more surprises. Today, following the previous announcements of “The Road Goes On Forever: Celebrating The Music Of The Allman Brothers Band,” A Tribute To Jamiroquai, Eric Krasno & Friends, and moe.queous, Brooklyn Comes Alive has announced a trio of New Orleans legends: famed jazz pianist Henry Butler, influential drummer Johnny Vidacovich, and legendary bassist George Porter Jr.Funk fans of will need no introduction for George Porter Jr., who laid the foundation for funk bassists across the world with his landmark work with The Meters in the 1960s and 1970s. In recent years, Porter has transformed himself into one of the grandfather’s of the jam scene, and can be found touring with The Funky Meters, playing in New Orleans with his solo band the Runnin’ Pardners or at his weekly Monday night jam-session at The Maple Leaf, and in the studio laying down bass for other legends like Paul McCartney, David Byrne, and John Scofield, among others. His contribution to and love for the world of improvisational music is unmeasurable.Henry Butler is one of the most versatile piano players to emerge from the modern jazz scene in New Orleans. Butler hit the local scene in the mid-1980s and was quickly anointed his generation’s beacon of New Orleans jazz. Referred to as “the pride of New Orleans” by Dr. John, Butler’s playing is fast yet intelligent, with chords sprinkled up and down the piano while he solos with lightning speed.When the words “New Orleans” and “drummer” are mentioned in the same sentence, Johnny Vidacovich is one of the first players that comes to mind. The legendary jazz drummer broke out with Astral Project in the mid-1970s and has been hugely influential to local players, with Galactic‘s Stanton Moore and famed modern jazz drummer Brian Blade claiming to have been impacted by his work. Vidacovich is still playing with regularity down in New Orleans, and his fire continues to burn for the city’s vibrant live music scene.To say that these three musicians on one stage is a rarity would be an understatement. Outside of New Orleans, this combination of players feels even more like a fantasy. At Brooklyn Comes Alive, they’ve made fantasy a reality, and George Porter Jr., Henry Butler, and Johnny Vidcovich are sure to deliver an outstanding set of improvisational music.George Porter Jr., Johnny Vidacovich, & Jon Cleary live at The Maple Leaf in 2014George Porter Jr. and Leo Nocentilli with Henry Butler, Eric Krasno, and Adam Deitch in NYC at B.B. King Blues Club & Grill in 2010 The 2017 Brooklyn Comes Alive lineup features members of Umphrey’s McGee, moe., The Disco Biscuits, The String Cheese Incident, Trey Anastasio Band, and so many more. Iconic legends, such as John Scofield, George Porter Jr., Cyril Neville, DJ Premier, Johnny Vidacovich, and Henry Butler, will join members of nationally touring bands, such as GRAMMY-winners Snarky Puppy, The Meters, Primus, Soulive, Lettuce, The Motet, Lotus, Railroad Earth, The Infamous Stringdusters,Yonder Mountain String Band, The Russ Liquid Test, SunSquabi, Pendulum, Destroid, The Crystal Method, Midnight North, Aqueous, Kung Fu, Electric Beethoven, and more. Check out the full lineup of artists below, and stay tuned for upcoming announcements about bands, supergroup formations, and special tribute sets.***Tickets Are On Sale Now!***Each ticket grants attendees in-and-out access to all three venues, creating the feeling of an indoor music festival all within the heart of Williamsburg. In true Brooklyn Comes Alive-fashion, a brunch set will kick off the music each day, and performances will continue into the early hours of the morning with special late-night performances.To find out more about ticketing, VIP options, and lodging, head to the festival website.last_img read more

first_imgYANGON, Myanmar (AP) — Hundreds of members of Myanmar’s deposed ruling party have declared themselves to be the sole legitimate representatives of the people and asked for international recognition as the country’s government. Protests against the military takeover also swelled Friday. Nearly 300 politicians from ousted leader Aung San Suu Kyi’s party announced they had named a committee to carry out the functions of Parliament, according to a party Facebook. In a letter to the United Nations and the international community, the party also asked for targeted sanctions and for businesses to cut ties with the military. The lawmakers had been set to take their seats Monday in a new session of Parliament, when the military announced it was taking over for a year.last_img

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first_imgAVINASH Odit, Nicholas Ali, and Jonathan Mangra all made it into the semi-final round of the men’s singles, while Caribbean champion Priyanna Ramdhani picked up two wins in the ladies’ singles when competition in the National Sports Commission Mashramani Badminton tournament commenced on Wednesday at the National Gymnasium.In the men’s singles quarter-finals Odit triumphed over Javed Rahaman in a thrilling three-setter, the only three-set match of the day. The three-setter was forced after Rahaman ruled the second set 21-16. This was preceded by the 26-24 first set that Odit claimed.Odit secured the decisive third set 21-19.In other quarter-final matches Mangra ousted Gokarn Ramdhani 21-11, 21-7; and Ali succeeded 21-14, 21-6 against Marlon Chung. The last of semi-final spot will be determined today after the contest between Ronald Chang Yuen and Darrel Carpenay.Ramdhani defeated both Ayanna Watson and Emelia Ramdhani, in the ladies’ singles round-robin competition. Both times she secured straight-sets wins, beating Watson 21-9, 21-11, and then taking out Emelia 21-12, 21-12.Emelia took another hit when she played against Greer Jackson. Like Priyanna, Jackson also collected two wins. She claimed a 21-11, 21-10 victory against Emelia, and then went on to take down Priscilla Moore 21-10, 21-8.Moore was able to bounce back with a 21-15, 21-10 win against Ayanna Watson.The semifinals and finals of both the ladies’ and men’s singles are set to conclude today, paving the way for playoffs in the Under-11, U-13 and U-15 boys and girls singles to begin tomorrow.last_img read more