CDA to Place More Children in Family Oriented Programmes InformationJanuary 10, 2013 FacebookTwitterWhatsAppEmail RelatedCDA to Place More Children in Family Oriented Programmes RelatedArchives Critical to Jamaica’s History As at September, 2012, some 57.5 per cent of children in State care were in Living in Family Environment (LIFE) Programmes, which are alternatives to placing children in child care facilities.CEO of the Child Development Agency, Carla Francis Edie, said the agency is on an intense drive to increase the number of children in LIFE programmes this year.LIFE programmes include foster care, family reintegration, and Supervision Orders. Of the over 5,200 children in State care, 2,219 are in children’s homes and places of safety. A little over 3,000 are in LIFE programmes – 985 in foster care; 802 on family reintegration, and 1220 on Supervision Order. Separate from those figures, some 141 adoptions were completed between January and September 2012.These programmes are designed to allow children who are in need of care and protection to live in a home environment to support their positive growth and development, thereby reducing the number of children in child care facilities.“When children come into residential care, we provide them with a range of services – health; education, psychological support and other specialized services as required. Yet our goal is to reserve residential care (institutionalisation) for only those children who have nowhere else to go because they have no family or other forms of support” Mrs. Edie said.Foster care is a flagship programme within the agency that places a child (temporarily) in the care of persons who are not the biological parents to enable them to raise that child and provide a nurturing environment for his or her physical, spiritual and emotional growth and development.With respect to adoption, Mrs. Edie added this is the legal process of permanently transferring the parental rights of a child’s biological parents (with consent) to one who is desirous of creating a new parent/child relationship.Family Reintegration is reuniting and rehabilitating a child and his/her family, after a period of being in a child care facility or foster care, Mrs. Edie said, adding that under a Supervision Order, the Court issues an order for a child in need of care and protection to be placed with a family member under the supervision of a CDA Children’s Officer.“Our experience has shown that children do better in a home/family setting, rather than being institutionalized; children who are placed in families do better on all counts – in education and as it relates to other areas of their lives. This is why we are redoubling our efforts to increase the number of children in the LIFE programmes,“ she said“The agency’s thrust is also in keeping with one of the key principles of the Child Care and Protection Act (CCPA) which indicates that the family is the preferred environment for the care and upbringing of children,” Mrs. Edie explained.In the meantime, the CEO acknowledged that steps were being taken to make a number of these programmes, in particular, foster care and adoption, more efficient. The Adoption Act is being modernised and a review of the current legislation is to get underway. Also, last year, the agency held a training workshop for officers in an effort to improve the internal processes for adoption.As it relates to foster care, CDA has been working with the relevant authority to increase the stipend paid to foster parents. The stipend is provided to foster parents in addition to educational, medical and other forms of assistance.“We want to use these various programmes to help give our children the opportunity to be part of families that can nurture them to realize their full potential,” Mrs. Edie stated, adding, “I would also like to use this opportunity to encourage persons to become foster parents.” Advertisements RelatedCDA to Place More Children in Family Oriented Programmes Story HighlightsAs at September, 2012, some 57.5 per cent of children in State care were in Living in Family Environment (LIFE) Programmes, which are alternatives to placing children in child care facilities.CEO of the Child Development Agency, Carla Francis Edie, said the agency is on an intense drive to increase the number of children in LIFE programmes this year.LIFE programmes include foster care, family reintegration, and Supervision Orders. Of the over 5,200 children in State care, 2,219 are in children’s homes and places of safety. A little over 3,000 are in LIFE programmes – 985 in foster care; 802 on family reintegration, and 1220 on Supervision Order. Separate from those figures, some 141 adoptions were completed between January and September 2012.
Novak Djokovic on Sunday called on the rival ATP and Davis Cups to combine in order to survive as he prepared for the Dubai Championships.Djokovic, who recently won his eighth Australian Open title and led Serbia to the ATP Cup trophy last month, made his plea prior to starting this week as top seed at the Aviation Club.“In my opinion, they have to merge,” the world number one said of the two competitions, which are held less than two months apart at the end of one season and the start of the next and he believes should become “one super cup”.“That’s necessary because for me personally it will be very difficult to play every single year both competitions, so I’m going to have to choose,” said the 32-year-old, president of the ATP Player Council.“I don’t think this is (a) sustainable model for our tennis.”Djokovic dropped major hints that the Davis Cup, which has eliminated the classic home-and-away format in favour an 18-team Finals held over a week in Madrid, needs the most repair work.“What I don’t like with Davis Cup is you don’t have a possibility to play at home any more,” he said. “ATP Cup was like playing at home for us (Serbia) because we had a tremendous support in Australia.”But Djokovic also cautioned that the ATP Cup, which will stay in Australia for the forseeable future, has its own drawbacks.“It’s (to be held) 10 years in Australia. It’s really difficult to call these competitions World Cups because is there no ‘world’ if you keep it in one place for 10 years.“For 99 percent of the nations, they will not have the possibility for many, many years to host a tie at home.”RelatedNovak Djokovic Endorses ATP Cup Set To Begin In 2020November 15, 2018In “Tennis”Novak Djokovic Returns To World Tennis SummitNovember 5, 2018In “Tennis”Nadal Aims To Carry Good Form Into 2020December 21, 2019In “Tennis”
Brazil, who are still not 100 per cent sure they will have Neymar in the Olympic Games, have found out their schedule as they bid to win their first gold medal in football. Group D: Argentina, Honduras, Portugal and Algeria “It has to be this time,” Dunga told the head of the Rio organizing committee, Carlos Nuzman. “Brazil will always have pressure. But we have a good group of players. Some that play in the Copa America will also be in the Olympics.” Upd. on 22/11/2016 at 03:06 CET Group C: Mexico, South Korea, Fiji and Germany Sport EN The groups: 15/04/2016 Group B: Japan, Nigeria, Sweden and Colombia They kick off on August 4 in Brasilia against South Africa, a day before the Olympics officially starts, before later playing Iraq and Denmark. Group A: Brazil, South Africa, Iraq, Denmark.
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print WhatsApp Facebook Twitter Email Mark Power (Pictured) was victorious at Castle last year, winning by six shots, and the Kilkenny international is bidding to win back-to-back championships. Should he retain his title, Power will be keeping company with Greystones’ Paul Dunne, who completed a unique double at Bangor in 2009. Dunne is the only two-time champion in the history of the Irish Boys, which dates back to 1983. Previous winners include Damien McGrane (1988), Michael Hoey (1997) and Rory McIlroy (2004).Since the championship became an open event in 2012, there have been two international winners. England’s Bradley Moore won at Thurles in 2014 and Adrian Pendaries from France took the title at Tuam the following year. Eight visiting countries are represented in 2017: England (11), France (5), Turkey (4), Germany (3), Iceland (2), Netherlands (1), Portugal (1) and Slovakia (1).Surviving the 54-hole cut will be the immediate goal for every player in the field. The top 50 and ties progress to the final day. If Power recaptures his 2016 form, he will be hard to catch but with Ireland teammates Reece Black (Hilton Templepatrick); John Brady (Rosslare); Jack Hearn (Tramore); Robert Moran (Castle) and Cameron Raymond (Newlands) in the field, potential winners abound. The Irish Boys Amateur Open is underway at Castletroy with Nine Galway City and County Golfers all aiming to take the crown won by Mark Power last year.They are Ross Kelly from Tuam, Liam Nolan and Liam Power from Galway from Galway, Jack Touhy from Galway Bay, Luke O’Neill from Connemara, Alan Hill, Darren Leufer and David Kitt from Athenry and Ronan Hynes from Oughterard
Cois FharraigevGlenhest Rovers Rahara RoversvMacDara The draw for the First Round of the TP Brennan Connacht Cup has been revealed with the games taking place on the 28th of October. There are six All-Galway league clashes. West Coast United at home to Colga, Moyne Villa at home to Knocknacarra, Corofin at home to Craughwell, NUI Galway will host Oughterard, West United B are at home to Corrib Rangers and Renmore are at home to East United. Kinvara UtdvConn Rangers Dunmore TownvCliffoney Celtic West Utd BvCorrib Rangers Corofin UtdvCraughwell Utd Manulla BvRenmore B Tuam CelticvGlen Celtic RenmorevEast Utd KillalavSt John’s Athletic SwinfordvDynamo Blues HomeAway West Coast UtdvColga FC CP AjaxvPartry Athletic St BernardsvCartron Utd Kiltullagh0-3Benbulben FCW/O print WhatsApp Facebook Twitter Email NUI GalwayvOughterard Tireragh FCvNewport Town Maree/Oranmore BvSnugboro Utd Loughrea BvBallina Town B Achill RoversvColemanstown Utd Castlebar Celtic BvBallina Utd The Draw is…… Moyne VillavKnocknacarra
They’d evaluated more conventional technologies like Hadoop, but the key requirement they couldn’t achieve in their tests was low latency. They’re running on a graph with over 30 billion edges, with multiple iterations to spread nodes’ influence to distant neighbors and achieve a steady state, a bit like PageRank. This has to be extremely responsive to new users inputting their information, so they have to re-run the calculations frequently, and none of the systems they looked at could deliver the results at a speed that was acceptable. Hunch has really interesting problems. They collect a lot of data from a lot of users, and once someone creates a profile they need to quickly deliver useful recommendations across a wide range of topics. This means running a sophisticated analysis on a massive data set, all to a strict deadline. Nobody else is doing anything this ambitious with recommendation engines, so I sat down with their co-founder and CTO Matt Gattis to find out how they pulled it off. Tags:#hack#Interviews pete warden When Matt first told me about his design decisions, I have to admit I was surprised that he was apparently swimming against the tide by working within a single uber-machine rather than using an army of dumb boxes, but as he explained their requirements it all started to make sense. With more and more companies facing similar latency issues, I wonder if the pendulum is swinging back towards parallelism across a system bus rather than a network? Even with their software and hardware architecture in place, there were still obstacles to overcome. Their monster server uses CentOS Linux, but very few people are running memory-intensive applications on machines with so much RAM, so they ran into performance problems. For example, by default the kernel will start paging out to disk once the memory is about 60% full, which left them with only about 150 GB of RAM available before swapping kicked in and performance cratered. There’s not much documentation available around these parameters, so the team ended up scouring the kernel source to understand how it worked before they could produce a set hand-tuned for TasteGraph’s needs. 7 Types of Video that will Make a Massive Impac… The other part of the puzzle was the software they needed to actually implement the processing. They looked at a series of open-source graph databases, but ran into problems with all of them when they tried scaling up to 30 billion edge networks. Continuing their contrarian approach, they wrote their own engine from the ground up in C, internally codenamed TasteGraph. The system caches the entire graph in memory, with rolling processes re-running the graph calculations repeatedly, and the end-results cached on multiple external machines. They have even recoded some of their inner loops in assembler, since they spend a lot of their cycles running calculations on large matrices and even the specialized linear algebra libraries they use don’t deliver the performance they need. How to Write a Welcome Email to New Employees? Growing Phone Scams: 5 Tips To Avoid The first thing he brought up was hardware costs, casually mentioning that they’d looked into getting a server with one terabyte of RAM from Dell! That immediately piqued my interest, because the Google-popularized trend has been towards throwing an army of cheap commodity servers at big data problems, rather than scaling vertically with a single monstrously powerful machine. It turns out their whole approach is based around parallelism within a single box, and they had some interesting reasons for making that choice. They determined that the key bottleneck was network bandwidth, which led them towards housing all of their data processing within a single machine. It’s much faster to share information across an internal system bus than to send it across even a fast network, so with their need for frequent communication between the parallel tasks, a monster server made sense. As it happens they decided against the $100,000 one terabyte server, and went for one with a still-impressive 256 GB of RAM, 48 cores and SSD drives. Why You Love Online Quizzes Related Posts
How would you measure your comfort, user experience, smoothness, and happiness while producing music?Intel® Optane™ SSDs open a full horizon of new application usages and use cases. But how would you translate your device-level performance into an application performance improvement? And how would that be translated into the user experience improvements — the ultimate goal of any technology progress? Well, that’s a question I ask myself while evaluating new technologies. In most conditions that can be measured by benchmarks, pure comparing scores or runtime could mean an advantage of one technology over another one. In certain cases that can be just tangible, such as how would you measure the smoothness of your experience or how would you score your feelings? Well that’s more difficult, as everyone can have a different perspective. In this blog I’ll attempt to make some formal assessment of those feelings based on the recent story. If you haven’t had a chance to see Intel’s interview with top electronic music and film composer, BT, find a moment now. It’s worth it!BT is one of the most innovative musicians who utilizes newest technologies in his music production and creates his own. His work for movie scoring is impressive (The Fast and the Furious, Solace, Stealth), and uses the latest advantages of massively sampled orchestration available in real-time. While sampling has existed for years, the way he pushes it to the limits with hybrid orchestra approach and granular synthesis is quite remarkable.As a user of Intel® SSDs 750-series, he was excited by NVMe SSDs and the performance advantages PCIe interface brings into that. Combining multiple SSDs in the RAID volume allows him to improve the overall bandwidth and, of course, expand the capacity. That’s a great deal, and RAID capability is built in all operating systems today. However, RAID can’t improve the access latency. No matter how many drives you combine together, the access latency would represent the worst drive in the array. That means it’s always equal or higher than a standalone SSD latency. There is a class of applications that can’t keep up scaling the performance by only SSD bandwidth improvements and that story is a demonstration on that. Device latency is one of those requirements for the audio sample playback performance improvements.A complete orchestra is sampled into terabytes of a sample data with a playback of up to 3,000 tracks at a time. Available DRAM is only capable for the small pieces of those sounds (attacks), while the body of the sound is streamed directly from storage. For real-time playback, it is critical all data processing is completed within an audio buffer time — say 5ms, which is common latency these days. Otherwise the user will experience audio drops and other artifacts, including fatal interruptions. This is the case where scaling storage bandwidth can’t help to solve the problem.Let’s look at the facts. A single sample is a contiguous piece of a data. Let’s assume each sample is running at 48kHz * 32bits Stereo, which is translated into 0.37 MB/s bandwidth. You would expect that with PCIe SSD, which as an example can read data sequentially at 2.5GB/s, you can play ~7M samples at a time (2.5*1024*1024/0.37). Why would I ever need faster storage if this number far exceeds any real use case? Well, the conclusion is wrong. Sample libraries are based on the thousands of samples played at a time. Different layering, microphone position, and round robin sample rotation are multiplying that by the order of magnitude. Also, streaming of many sequential fragments at a time causes I/O randomization naturally. Now, a workload is randomized with a lowest denominator, which is an application request size or even file system sector size in a common case. With that the storage workload is no longer sequential and must be measured in the IOPS form on a small block size. This is fully random I/O condition for the device-level perspective and it’s distributed across full span of sample library with no hot area.Here we came to the point where NAND-based SSD performance has significant variation based on workload parameters. That’s easier for a drive to run a single threaded sequential workload than a random one or even than many parallel sequential. Of course, the difference is not as noticeable as with hard drives, where you must physically move a head, which has significant latency impact on results and unbelievable performance degradation. But the performance impact is meaningful, too. The root cause is in the NAND architecture, which consists of sectors (minimal read size), pages (# of sectors, determines minimal write size) and erase block size (# of pages, minimal erase size). Combined with a specific NAND-based SSD acceleration on aggregating sequential I/O into a bigger transfer size, we see performance improvements in sequential I/O, which are not available for Random small block I/O.A 3D XPoint™ memory cell solves that problem. It’s cache line addressable by the architecture, requires no erase cycle before write, and significantly lowers access time compared to NAND. Implemented on a block device, Intel Optane™ SSDs are optimized for a low latency and high IOPS performance, especially on low queue depth. This directly correlates with an exceptional quality of service, which represents max latency and latency distribution. As a consequence of that, Optane SSD is capable of delivering similar performance no matter the workload — random vs. sequential or read vs. write.Let’s run some tests to visualize that. I’ll be running this experiment on Microsoft Windows 10. You may expect Linux or OS X charts similar or better, but as we’re evaluating an environment similar to the one installed in BT’s studio, I’ll try to match it here.Configuration: Asus X299-Deluxe, Core i7-7820X, 32GB DRAM, Intel SSD 750 Series 1.2TB, Intel Optane 900p. You may download all FIO configuration scripts from my repository: www.github.com/intel/fiovisualizerNAND-based SSD is in the sustained performance state before every run. Optane SSD doesn’t have this side effect and delivers performance right away. As you see on charts, I’m only considering a scenario of the I/O randomization, and the overall delta in absolute SSD performance under different conditions. I’m leaving other workloads to the side, which are evaluated thoroughly by a third party such as Storage Review, Anandtech, PC Perspective, and others. All of the simulated workloads are stressful for a SSD, in regards of getting to the maximum performance of the device by pushing many I/Os. Intel Optane SSD leads not only on the absolute numbers, but also on the performance variability between workloads. In a real application scenario, such as in the story above, that means stable and predictable performance for a sample playback that doesn’t change its characteristics based on the number of samples, their sizes, the way they are played or any other activities while doing that, such as multitrack record. You may call it “a performance budget” you can split between workloads without sacrificing overall performance.For a musician that means Optane delivers a smooth experience without audio drops, even at peak demands. That also means no need for the offline rendering, channel freezing and sub mixdowns, which equals more time for being creative and unique.
Given the latest advances in advanced analytics technology, organizations across the board have the potential to move analytics from reactive reporting, to proactive and predictive models. However, many struggle to implement analytics at scale, and for the long-term. According to Deloitte, 21% of analytics projects are canceled prior to being delivered, or are never used. We often see that this is due to a lack of preparedness across the organization, to take advantage of the insights that advanced analytics can deliver.Advancing an analytics project, from proof of concept to gaining the full benefits of an advanced solution, needs buy-in and engagement from key stakeholders as they adapt to new systems, applications and workflows. It also puts pressure on the IT department, as a fully-fledged analytics capability uses large volumes of streaming, real-time data rather than more manageable historical data.As well as being at the forefront of analytics innovation, Intel has worked closely with many organizations looking to bring advanced analytics into mainstream use, and implement a lasting advanced analytics capability. Summarizing the key advice from Intel’s new eGuide Ramp up Your Analytics Capabilities, this article outlines the three exercises that can increase the likelihood of success for IT leaders.Conduct an Analytics Capabilities AssessmentWhile organizations often have multiple analytics projects in mind (see below), it pays to adopt a capabilities-driven approach that maps your analytics roadmap to your business strategy, around criteria such as innovation, customer focus, leadership, and people focus. By understanding your key organizational objectives, you can orient your advanced analytics program to deliver on these goals, as well as ensuring the executive sponsorship, strategic focus, and organizational buy-in.You can explore opportunities to bring data-centric thinking into your organizational strategy (if it’s not there already), or start even simpler by considering how different data sources can be united to help streamline decision making in real time. From here you can build and evaluate an analytics action plan, based on available human, IT and other resources.It’s important to understand the skills your existing team has, or could develop, and where it would make sense to call upon external vendors or consultants. Whatever the mix, your project will involve close collaboration and multiple meetings between business, technical and managerial stakeholders, so having a vendor that can speak the language of all these groups will accelerate progress.When working with our customers on their technology plans, we recommend they make the most of the open nature of the x86 architecture by considering solutions from multiple vendors for each aspect of their data management and analytics environments. The same goes for software: many open source frameworks—such as Apache Spark*—are available online, and a number of cloud service providers (CSPs) offer analytics tools and capabilities (such as AWS Sagemaker*).Organizations can adopt a best-of-breed approach, mixing and matching the tools they need, then working with an integration specialist to stitch them all together. Note that security remains a top priority, for internal and third-party solutions.Build an Insights-focused, Cross-organizational TeamThe success of any analytics initiative will depend on the people that design, implement, and use it. It’s critical to think about your organizational structure and how you will build an analytics-enabling team, as well as how to communicate and collaborate with business units and other stakeholders.For a project to achieve long-term success, it will need a committed executive sponsor to ensure funding and the top-down leadership, not only for the PoC but also to enforce any workflow and cultural changes. Executive sponsorship helps drive:Analytics Leadership: Your executive sponsor(s) will need help from others in the leadership team, to promote the vision and drive others to do their part in helping to achieve it.Funding: As the impact of the advanced analytics organization becomes more widely recognized, more funding should become available at an organizational level.Organizational Design: However you choose to structure your analytics capability (horizontal or vertical), it’s important to make sure roles and responsibilities are clearly defined.As attracting and retaining top data scientists can be a challenge, it’s also worth developing a plan for how you will do this. You should have an idea of the specific technical skills you need and can focus recruitment efforts on meeting those requirements, and consider how you will retain and nurture that talent over time.Define an Analytics ProcessA successful analytics process needs to align with your business challenges and goals. For example, CRISP-DM13 (a recognized data mining methodology) starts with the business understanding the problems to be solved, and then investigates how to solve them through iterative application of analytic techniques. This approach enables you to evaluate how the right data is creating the desired impact to your business goals, while incorporating a fail-fast approach to learn what is not working and re-evaluate any disconnects.Your analytics process should also work through the stages of analytics solution maturity, specifically:Descriptive—Understanding what has happened, looking at historical data to describe discernible outcomes or observations of past data behaviorsDiagnostic—Understanding why it has happened, helping explain why the behaviors occurred, and starting to form the foundation of a predictive modelPredictive—Predicting what will happen, by building models and selecting algorithms based on data types used, assumptions made, and other trade-offsPrescriptive—Understanding why it will happen, understanding why a prediction happened or showing the impact of input features on the model’s outcomes.As the team works with the data to create and convert it into insights, a pipeline of how the data must be processed needs to take shape. A solution architect needs to work with data scientists and domain experts to determine what raw data needs to be collected, how to integrate it, where to store it and how to query it across data processing, modeling, and visualization. While this could create challenges (including quality checking), up-front investment can mean that integrating new data sources will be much more efficient.It’s About Working TogetherAs we have seen, these three exercises involve a variety of roles and expertise, from top-level leadership to domain experts, data scientists, engineers and architects, all of whom need to work together to create analytics solutions that can support successful business insights.It’s also important to work closely with your technology solution provider(s), to ensure you have the right combination of tools in place to empower your teams to succeed. At Intel we’re working with other industry players to make this easier for our customers by developing Intel® Select Solutions. These are tailored solutions for common workloads like advanced analytics that optimally combine hardware and software.For more information, read the eGuide Ramp up Your Analytics Capabilities or discover how advanced analytics can help transform your business www.intel.com/analytics. Intel® technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. No computer system can be absolutely secure. Check with your system manufacturer or retailer or learn more at www.intel.com.