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000-448 - IBM Content Collector (ICC) v2.2 - BrainDump Information

Vendor Name : IBM
Exam Code : 000-448
Exam Name : IBM Content Collector (ICC) v2.2
Questions and Answers : 142 Q & A
Updated On : January 23, 2019
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000-448 exam Dumps Source : IBM Content Collector (ICC) v2.2

Test Code : 000-448
Test Name : IBM Content Collector (ICC) v2.2
Vendor Name : IBM
Q&A : 142 Real Questions

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IBM IBM Content Collector (ICC)

IBM to acquire red Hat, a leading Java community Contributor | killexams.com Real Questions and Pass4sure dumps

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IBM to purchase red Hat, a leading Java group Contributor
  • by way of John k. Waters
  • 10/29/2018
  • IBM announced on Sunday plans to acquire main business open source utility company and longtime Java group system (JCP) chief red Hat in a $34 billion inventory deal.

    Described by huge Blue as IBM's most large acquisition and essentially the most big tech acquisition of 2018, the deal represents "a landmark moment for both corporations and is a major step ahead in IBM's ongoing center of attention on high-price company, the transformation of our portfolio, and our leadership within the rising period of AI and cloud."

    IBM and crimson Hat observed the deal, which has been accepted through their respective boards, is discipline to pink Hat shareholder and regulatory approval, and will be achieved in the latter half of 2019.

    speakme this morning with press and analysts on a convention name, Paul Cormier, purple Hat's EVP and president of products and technologies, talked about the merger will aid his business recognise its vision for its Linux and open source choices.

    "over the past 10 years or so, Linux has been the platform the place most of the innovation in the business has been occurring," Cormier said. "We developed a purposeful portfolio around Linux and open supply tailored for the hybrid cloud ... however we're nevertheless a comparatively small enterprise. Our shoppers are seeing open hybrid cloud as the most effective approach to bring public cloud into their IT infrastructure, and since of our dimension we can not identified the capabilities of that demand. IBM helps us bring that approach to 170 international locations and hastens our imaginative and prescient into the market."

    IBM has long been a number one consumer and contributor to Linux, which undergirds crimson Hat's exact products, including the pink Hat commercial enterprise Linux (RHEL) OS.

    On that equal convention call, Arvind Krishna, IBM's SVP of Hybrid Cloud, noted this acquisition will make his enterprise the world's leading hybrid cloud company. IBM's purpose, he observed, "is to win in hybrid cloud, and win on the groundwork of open technologies, and within the end to deliver a technology that makes life more convenient [for companies] with less complexity and a future proof funding."

    To a query in regards to the knowledge have an impact on of the acquisition on pink Hat-maintained open supply projects, comparable to Fedora, Gnome, and CentOS, Cormier replied succinctly "None. No have an effect on," he noted. "The day after we shut [the acquisition], I do not intend to do the rest different. For us, it'll be company as average. whatever we had been going to do for our roadmaps as a stand-on my own will proceed. We have to do what's correct for the community upstream, our buddies and our business."

    both executives claimed that the main roles both groups play within the JCP usually are not affected by the merger. IBM and pink Hat are lively participants of the Java group, but Raleigh, N.C.-primarily based pink Hat is among the most active contributors, and has been for decades.

    "both IBM and purple Hat were potent voices in that community," Cormier observed, "and that i think so one can proceed. pink Hat will continue to do what's correct for the pink Hat portfolio, and i would wager that IBM would do the identical."

    pink Hat is, in reality, the biggest contributor to the OpenJDK subsequent to Oracle. purple Hat executives have served on the JCP govt Committee and as Java spec leads or knowledgeable Working group members for greater than 35 Java Specification Requests (JSRs). the first Context and Dependency Injection spec (JSR 299), which changed into led by means of JBoss Fellow Gavin King, had a big effect on Java EE 6. The enterprise become also at the back of enterprise JavaBeans (EJB) three, JavaServer Faces, and the Java Persistence API. It collaborated on 4 JSRs for Java EE 7: Java API for RESTful internet capabilities 2.0 (JSR-339); Java Message service 2.0 (JSR-343); Java Server Faces 2.2 (JSR-344); and Java content material Repository API (JSR-333).

    pink Hat also spearheaded two OpenJDK initiatives: Shenandoah (JEP 189), which goals to supply an extremely-low-pause-time garbage Collector; and Thermostat , an instrumentation device for the Hotspot JVM.

    Martijn Verburg, CEO of jClarity, co-organizer of the London JUG, and a member of the Java community procedure (JCP) govt Committee, expects "a positive result" from the acquisition.

    "IBM has basically proven pink Hat-like traits when it comes to Java and Open supply," Verburg said in an email. "They've these days OpenSourced their J9 VM (Eclipse OpenJ9) in addition to their WebSphere application Server (Open Liberty). They also are precise tier helps of Microprofile, Jakarta EE and crucially adopt OpenJDK.

    Reza Rahman, SVP at AxonIQ, former Oracle Java developer evangelist, and co-founding father of the Java EE Guardians, is "of two minds" on the acquisition.

    "I totally be mindful the corporate reason behind this for each IBM and crimson Hat," he told ADTmag. "here's unequivocally decent for the shareholders and employees of both agencies. however, the reality is that the result for shoppers and the Java EE ecosystem may additionally now not necessarily be so rosy. it's going to seemingly suggest much less alternatives for Java EE clients and less market competitiveness. as an example, it will no longer surprise me if Websphere Liberty, Open Liberty, JBoss EAP, WildFly, and Thorntail now need to merge. i am hoping smaller and more moderen market entrants will fill in any competitive gaps, as they should in a fit economic space."

    "I also hope each the Java EE folks at IBM and pink Hat all the most useful as long time colleagues," he introduced. "expectantly they can be ready to make this a pretty good effect for Java EE."

    another Java EE Guardian, Kito Mann, who's a most important consultant at Virtua Inc., sees a particular synergy amongst Linux, Java, and cloud services, but he concerns about massive Blue.

    "IBM's song checklist with acquisitions is questionable," he talked about in an e mail. "crimson Hat has executed a massive job championing open supply and constructing super items. despite the fact IBM has a lot of involvement with open source, it be just no longer on the identical level. My situation is that red Hat will get absorbed into one or more large IBM product lines and then fade into mediocrity or irrelevance (bear in mind Rational?)"

    in regards to the Java connection, Mann has some questions: "when it comes to Java, does this mean pink Hat items will birth shipping with the IBM Java VM?" he requested. "What about JBoss and WebSphere (Liberty)? What about all of the remarkable OSS products from crimson Hat/JBoss, and the business's work way of life?"

    JNBridge CTO and co-founder Wayne Citrin, additionally has just a few considerations in regards to the merger. "My feeling is that there's getting to be too much attention in the business," he referred to in an e-mail, "and this would not assist. purple Hat gave the impression to be doing simply best and did not deserve to merge, however I can't blame them for cashing in."

    about the writer

    John has been protecting the high-tech beat from Silicon Valley and the San Francisco Bay enviornment for essentially two a long time. He serves as Editor-at-tremendous for utility building tendencies (www.ADTMag.com) and contributes consistently to Redmond magazine, The expertise Horizons in schooling Journal, and Campus technology. he's the writer of greater than a dozen books, including The every thing e book to Social Media; The every little thing computing device e-book; Blobitecture: Waveform structure and Digital Design; John Chambers and the Cisco approach; and Diablo: The reliable approach ebook.


    Product roundup: features of top SIEM software on the market | killexams.com Real Questions and Pass4sure dumps

    security assistance and adventure management application products and functions are getting average components of the...

    cybersecurity classes of many agencies.

    security tips and adventure management (SIEM) software combines security suggestions management and security experience management, providing real-time evaluation of protection indicators generated with the aid of functions and network hardware.

    here's a glance at some of the most advantageous SIEM software products presently on the market.

    AlienVault Inc. USM any place

    AlienVault Unified protection administration (USM) any place is a cloud-based, SaaS platform.

    The product's core SIEM utility services include log assortment, experience management, experience correlation and reporting. USM anywhere enables the centralized storage of all log information in the AlienVault comfortable Cloud, a certified-compliant ambiance. This alleviates the company's burden of having to control and cozy logs on premises, whereas also featuring a compliance-equipped log management environment.

    Going beyond a normal SIEM product, USM any place combines distinctive unified protection capabilities that permit hazard detection and incident response: asset discovery, vulnerability assessment, intrusion detection -- network, host and cloud -- endpoint detection and response, file integrity monitoring, safety orchestration and automation, and consistently up to date possibility intelligence from the AlienVault Labs security research group, which is backed by way of the Open risk alternate.

    USM anywhere grants diverse safety capabilities in a single SaaS offering. each automated and orchestrated, these capabilities give protection gurus the tools and guidance they should manipulate probability detection, incident response and compliance, the company claims.

    The enterprise additionally utilizes an alarm dashboard, named the Kill Chain Taxonomy, to focal point attention on probably the most severe threats. security analytics permit security specialists to drill down into alarms to peer the related assets, vulnerabilities and activities.

    USM anyplace additionally offers a library of predefined report templates for a few necessities and rules. These stories can aid accelerate security and compliance reporting necessities and help with audit readiness. It also comprises more than 50 predefined event stories via records source and records supply type, helping to make day by day monitoring and reporting actions greater effective.

    As a subscription-based mostly cloud carrier, USM anywhere is attainable in three variants -- essentials, typical and commercial enterprise -- for groups of all sizes and budgets. Pricing for USM anywhere essentials version begins at $1,695 per month.

    IBM QRadar

    edition 7.3.1 of IBM QRadar integrates with more than 450 log sources and offers a standard machine support Module to support companies ingest information across on-premises and cloud-primarily based components.

    The product parses and normalizes log statistics from endpoints, assets, users, functions and cloud components. QRadar then correlates this facts to community flows, vulnerability scanner effects and threat intelligence to determine each known threats and anomalous community and device recreation. These may be the symptoms of an unknown probability.

    linked endeavor instantly hyperlinks and aggregates into an offense, and IBM QRadar then prioritizes these offenses in accordance with the severity of the concern and the sensitivity of the assets concerned. QRadar's strategy to offenses helps distill massive volumes of records into a handful of genuine, actionable indicators. The platform comprises a whole lot of prebuilt rules, and groups can add stories, dashboards, integrations and additional prebuilt suggestions from the IBM protection App trade.

    Dashboard showing multiple graphs and maps used to keep track of threats IBM QRadar main dashboard continues music of competencies threats, each international and native

    organizations may additionally deploy QRadar on premises as hardware or software, in public and private clouds, or by the use of any of IBM's managed safety services company partners. flexible structure can start small with an all-in-one equipment with a console, adventure collector and adventure processor, and may then scale out into incredibly allotted environments with separate collectors, processors and consoles.

    QRadar SIEM utility is critical to the IBM security Intelligence Platform. The platform extends past regular SIEM capabilities to encompass:

  • QRadar network Insights, which gives precise-time packet inspection to identify malware, computer screen the switch of sensitive facts and establish statistics exfiltration; and
  • QRadar user conduct Analytics, which uses a combination of guidelines, anomaly detection and machine researching algorithms to identify malicious insiders and compromised credentials.
  • other capabilities encompass QRadar advisor with Watson, which applies artificial intelligence to instantly mine native QRadar information to discover the basis trigger and authentic scope of a threat within the environment.

    It also comprises the QRadar facts save, which offers fastened-rate log storage, enabling companies to save huge quantities of statistics without needing to correlate every little thing. This helps agencies tackle regulatory necessities and preserve facts that may well be critical to future investigations and risk looking.

    QRadar presents greater than 1,600 customizable stories that are labeled in accordance with compliance, govt and operational abstract reviews, protection overview experiences, community recreation and administration reports, applications, and gadget-level stories.

    Licensed based on hobbies per second (EPS), the product's starting price for an all-in-one digital appliance with a hundred EPS is $10,seven hundred, and the starting price for QRadar on Cloud with a hundred EPS is $800 per thirty days. quantity discounting is attainable.

    LogRhythm Inc. protection Intelligence Platform

    LogRhythm edition 7.4 elements several core capabilities, including a large information analytics structure; superior data processing; centralized visibility into security signals and alarms; centralized visibility into forensic statistics; and the means to apply synthetic intelligence, advanced scenario modeling, and deep behavioral analytics across a 360-degree view of forensic records. other features consist of case management, which allows for safety teams to interact in workflows using a centralized and comfortable case administration facility; task automation; and instantly guided workflows.

    based on the enterprise, greater granular measurements, similar to time to qualify and time to investigate, can support analysts take into account workflow effectiveness. These performance metrics can aid uncover opportunities to increase operational efficiency, together with making a choice on tasks superior-perfect for automation and enabling security leaders to measure and document on the effectiveness of safety courses. 

    Dashboard showing graphs and clients to keep track of user activity LogRhythm main dashboard has the ability to focus on assorted clients

    Pricing for the LogRhythm platform begins at $forty three,500, with subscription options additionally attainable. Designed with that in mind, its modular structure promises business scalability to satisfy long-time period wants, even with changing efficiency, storage and geographic necessities, the company claims.

    McAfee LLC commercial enterprise safety supervisor (ESM)

    McAfee's business security supervisor (ESM) is a SIEM software tool for business, business and executive agencies, in addition to managed safety service providers. ESM gives you possibility and probability insurance policy according to a SIEM architecture built for large records safety analytics.

    ESM collects logs from a whole bunch of records sources, integrates them with dozens of partners and dietary supplements movements with threat intelligence, presenting actionable intelligence and real-time threat management with new cybersecurity protections. An embedded compliance framework and content material Packs simplify its protection and compliance operations.

    enterprise protection supervisor eleven.1 is the present version, as of this writing. version eleven introduced elements including:

  • bendy information structure, which is an open and scalable facts bus that shares tremendous facts volumes;
  • scalable Ingestion and question performance, which supply horizontal growth with high availability and the means to hastily query billions of routine; and
  • improved cloud assist for hardware virtual computer for AWS, workplace 365, Azure, Xen, Hyper-V and a regular cloud API to on board cloud data sources.
  • ESM is available as an appliance or digital computing device that users can mix and healthy. ESM fashions include all-in-one fashions and discrete appliances, and it will also be deployed on premises, in the cloud or in a hybrid ambiance. It helps deployments on AWS, Azure, Hyper-V, VMware and Xen.

    whereas ESM provides the core SIEM capabilities, different accessories include excessive-speed statistics collection and event correlation, elastic seek fast querying of hobbies, archival of uncooked activities for compliance and forensics, and layer three and 7 utility-level monitoring.

    Main overview of the software, with bar graphs depicting levels of threats, as well as users and events fundamental overview of McAfee software, which keeps tune of endeavor and viable threats

    The superior Correlation Engine offers rule-primarily based and statistical and behavioral-based mostly analytics for billions of pursuits. McAfee international probability Intelligence can increase risk detection and investigation with a proprietary feed of probably malicious and universal-dangerous IP addresses.

    different safety points of ESM consist of free content Packs, McAfee's edition of an app shop that offers prebuilt use situations, and ESM's Cyber threat supervisor, which consumes probability intelligence and indications of compromised statistics, enabling lower back tracing and the introduction of a watchlist.

    ESM additionally includes a case administration device to tune incident investigation, take notes and allow remediation by means of integrations inside the McAfee product ecosystem and any third-celebration product that supports actions by means of URL, command line, APIs or information exchange Layer. When better volumes or complexities dictate more orchestration, ESM integrates with companions, together with ServiceNow, Phantom, Swimlane and Demisto.

    ESM gives more than 800 file templates that cover areas similar to compliance, safety, applications, databases, network circulate, hazards and government content material. clients can create and modify experiences the usage of a wizard.

    home equipment are rated and offered by means of their capability to deal with a certain adventure-per-second means in preference to a price per statistics supply or fee per EPS. There are no enforced EPS limits on an ESM appliance and no licensing fees for introduced facts sources.

    VMs are licensed using the equal philosophy and bought by way of the number of CPU cores vital to aid a given EPS. This allows for valued clientele so as to add cores as obligatory devoid of changing hardware. Pricing for a typical, all-in-one, VM-based SKU targeted at smaller customers is $40,000 to $50,000.

    Rapid7 Inc. InsightIDR

    Rapid7's InsightIDR is a cloud-based mostly incident detection and response platform that can support security practitioners determine and examine threats and focused attacks. InsightIDR combines SIEM utility with person and attacker behavior analytics, endpoint detection, and response agents so clients can establish a compromise as quickly because it happens and include it as straight away as viable.

    probably the most key facets of the application is consumer behavior Analytics, which normally baselines in shape user pastime across the company. This may be the optimum SIEM product for a corporation, as this extends past described symptoms of compromise so that protection authorities can discover attackers impersonating personnel, in addition to insider threats.

    moreover, Attacker behavior Analytics take Rapid7's capabilities of prior assault recreation and turns it into intelligence that may support security experts detect attacks early.

    Rapid7 also includes endpoint detection and visibility. With the device's perception Agent, security teams can observe regular and unknown malware, grab forensic artifacts on demand, and take containment actions for detected threats from inside InsightIDR. The Centralized Log administration function hyperlinks thousands and thousands of each day routine in one surroundings directly to the users and property behind them. InsightIDR comes with a fast log search, prebuilt compliance playing cards and dashboards for essential, consistent reporting.

    For any alert in InsightIDR, automatic movements can fire to speed up case administration and risk containment. This contains developing situations in third-party ticketing programs, as well as taking direct action on person bills and endpoints.

    in addition, deception technology allows for security experts so as to add critical monitoring opportunities and trick attackers with traps equivalent to honeypots, honey clients, honey credentials and honey information. These traps locate behaviors that log evaluation on my own can fail to seize.

    InsightIDR allows for users to create experiences out of custom dashboards, producing experiences both as soon as or on a preconfigured agenda.

    Rapid7 prices InsightIDR in accordance with the entire variety of belongings in a firm.

    RSA NetWitness Platform

    RSA NetWitness Platform is comprised of RSA NetWitness Logs, RSA NetWitness community and RSA NetWitness Endpoint. RSA NetWitness UEBA -- consumer and Entity conduct Analytics -- and RSA NetWitness Orchestrator augment the core platform with behavioral analytics and security orchestration, automation, and response capabilities.

    The platform features a safety Analytics Engine, which allows for analysts to realize and respond to threats throughout a firm's infrastructure, including in the cloud, virtualized methods and containerized resources.

    businesses can deploy components in any combination of software or actual or digital appliance, as well as inside cloud environments.

    The RSA NetWitness Logs, network and Endpoint modules can also be deployed in my view or together, and that they assist various third-birthday celebration records sources and functions.

    RSA NetWitness UEBA gives unsupervised, absolutely computerized, and continual risk detection and monitoring the use of a turnkey statistics science mannequin. RSA NetWitness Orchestrator gives security automation and orchestration capabilities that may permit analysts to rapidly investigate incidents and automate workflows. The device's platform reporting capabilities include constructed-in and custom reviews assisting a number of protection and compliance necessities.

    organizations should purchase the RSA NetWitness Platform as a time period or perpetual license and installation it as a utility, equipment or virtual equipment, in any combination. Pricing for the RSA NetWitness Platform is in accordance with either statistics throughput for RSA NetWitness Logs and Packets, users monitored for RSA NetWitness UEBA, number of analysts using RSA NetWitness Orchestrator, or capability -- equipment hardware. corporations can mix and suit software and equipment licenses for granular capacity and growth.

    Splunk Inc. commercial enterprise security

    Splunk commercial enterprise security (ES) is a element of Splunk business, and it presents the capacity to search, display screen and analyze facts to deliver insights about protection using SIEM software.

    Splunk ES uses analytics that enable security teams to locate, examine and respond to internal and external attacks. The software aggregates safety movements as soon as the sources generate them.

    Use case library with advisories for abuse, best practices and cloud security Use case library showcasing most reliable practices within the Splunk utility

    adventure Sequencing presents the means to community correlated searches into clusters of pursuits. Splunk claims this clustering enhances the visibility and responsiveness of events and hurries up investigations.

    additional protection capabilities encompass Splunk's Adaptive Response. With this function, clients can observe alterations to adapt to the tactics of a given attacker. Splunk ES accommodates with Splunk consumer habits Analytics, the place unsupervised computer discovering algorithms supply anomaly and chance detection. Splunk has also multiplied its security equipment to preserve music of the ever-growing mass of information.

    The Use Case Library feature can aid agencies bolster security with important content material by immediately picking out which uses instances are most relevant to their personal atmosphere in accordance with the ingested data.

    businesses can additionally use the platform to create, curate, installation and manage content material, which can assist in the reduction of risk by using offering quicker detection and incident response to new threats. in addition, Splunk ES provides ad hoc browsing and reporting capabilities for breach analysis, Splunk claims.

    Splunk bases pricing for Splunk ES on optimum every day quantity of data indexed in GB per day.


    quick entry to IBM Cloud service Credentials from a Python laptop | killexams.com Real Questions and Pass4sure dumps

    As a developer, I’m commonly trying to find IBM Cloud provider situations that I’ve provisioned or that i used to be given access to over time. i am a member of distinctive businesses (three to be specific, presently containing 15+ areas) and that i’m having a tough time remembering through which organization and area the provider illustration I’d want to entry is determined.

    The IBM Cloud net console and the IBM Cloud Developer equipment CLI each simplest display provider circumstances for a single Cloud Foundry organization/house combination, comparable to ptitzler_org/dev as shown below.

    IBM Cloud web console and IBM Cloud Developer equipment CLI restrict carrier instance views to a single Cloud Foundry firm and house.

    To locate a carrier illustration, I hence should iterate via each and every feasible firm/space combination (using the web GUI or via operating the applicable CLI instructions) except the provider instance of activity is found. conceivable, but inefficient.

    Most frequently I’m going via this system to retrieve the service credentials in order that i will use the service illustration (as an instance, a data provider like Cloudant or an analytical provider like Watson computer studying) from a pc or a stand-alone app.

    having access to Cloudant service illustration credentials using the cloud console.

    I’ve at last taken the opportunity to streamline the method by means of creating a Python computer software that gathers and visualizes Cloud Foundry catalog suggestions for corporations, areas and service situations that a given IBMid or IBM Cloud person API key has entry to:

    IBM Cloud carrier example list with filters for service forms, carrier plans and Cloud Foundry companies and areas.

    To gain carrier credentials, I now simply ought to run the app in a pc, observe the favored filter(s) to find the provider example and click a button to insert the chosen credentials right into a phone:

    candy. One click on inserts service credentials right into a Python workstation cellphone for later consumption.

    if you’d like to supply this a are attempting on your native Jupyter ambiance or in the cloud, down load the laptop, add your IBM Cloud consumer API key or IBMid credentials and run all cells. The app shows in the remaining cell. No counsel is permanently stored or shared.

    word that this software currently only collects information about functions that are managed by using Cloud Foundry, however does not compile suggestions about functions that are managed by using IAM.

    Cloud Foundry-managed and IAM-managed carrier cases are displayed separately within the IBM Cloud net console.

    To be taught greater concerning the software, examine on.

    concerning the application

    The Python 2.7/3.x application contains of two courses: a Cloud Foundry service tips collector and a visualizer, which can be invoked by way of the Browser category:

    Invoking the Cloud Foundry service instance browser app. Configuration

    The application requires IBM Cloud credentials — which will also be both an IBMid and password or an IBM Cloud person API key — to fetch suggestions in regards to the substances that the provided credentials have access to. if you choose to now not keep the credentials in clear textual content which you can simply capture the input interactively, like so:

    import getpassibm_cloud_user_api_token = getpass.getpass()... facts collection

    The facts Collector gathers the mandatory suggestions from the IBM Cloud catalog the usage of the Cloud Foundry rest API and stores it in a Pandas DataFrame. numerous calls are made to load lookup guidance, which makes it possible for the app to reveal names as an alternative of inside identifiers. word that no sensitive advice (a.ok.a., the credentials) is gathered all over the assortment.

    If favored, that you can entry and explore the DataFrame by means of calling the Browser type’s getPandasDataFrame() components. I are likely to use PixieDust to check up on the content material of DataFrames , a nifty Python productivity device our Developer Advocacy crew has developed, since it offers interactive filtering and visualization.

    Filter the gathered statistics, customize the screen and even render it graphically through altering the visualization options.

    I’ve determined to keep the statistics assortment code cut loose the visualization code. It offers two merits:

  • information assortment may well be periodically carried out on an as-vital foundation (e.g., as soon as every week) by way of invoking the Collector right through off-top hours and the storing the outcomes in cloud storage. The Visualizer then effortlessly sources the accumulated records from cloud storage as a substitute of querying the IBM Cloud catalog at once.
  • other utilities may function on the same data set, with no need to collect the counsel once again.
  • Credential lookup app

    The Visualizer is implemented the use of PixieApps, an open-source framework that makes use of Python, HTML and CSS to build interactive visualizations for Python notebooks. It’s fairly basic but gets the job carried out: it displays a set of context-delicate filters and the list of carrier situations that meet the filter circumstances:

    simplest agencies wherein Cloudant Lite plan circumstances exist are blanketed within the filter.

    most effective after a consumer selects a particular service illustration (by way of clicking the View Credentials button) is a request sent to IBM Cloud the usage of the Cloud Foundry API, retrieving the credentials.

    A consumer can then choose to insert credentials into a new cellphone, which generates a Python dictionary. With the credentials in place, access to to service example is only a bit of code away:

    standard credentials consumption situation. severe cred(s)

    received some ideas to enrich this app or want to construct your own spin-off? All you need to get begun is in this Github Repository.




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    Surfline Accepts Strategic Investment from Kevin O'Connor | killexams.com real questions and Pass4sure dumps

    No result found, try new keyword!In addition, Kevin has helped launch numerous leading software entities, including ICC and Internet Security Systems (NASDAQ: ISSX) -- a business that was sold to IBM in 2006 for $ ... Inc. is the wor...

    Global Trade Rewired: Exploring Blockchain Trade Finance Platforms | killexams.com real questions and Pass4sure dumps

    A few weeks back we had a look at how blockchain can redesign global supply chains. In this closely related post, transforming global trade with blockchain trade finance platforms, we take a deep dive into the broken state of trade finance and investigate how blockchain can build the dynamic trade finance platforms of the future.

    Trade finance is a centuries-old industry that has played a pivotal role in the creation of a competitive and productive global economy.

    But legacy trade finance platforms built on old world technologies are rapidly proving ill-equipped to handle the globalized nature of the economy and increased speed of trade flows.

    There is now an acute need to streamline trade finance to drive efficiencies, reduce costs and enable the proliferation of trade in emerging economies.

    It’s a complex world out there

    As supply chains have grown more intricate, often spanning hundreds or even thousands of stages and dozens of geographical locations, the financing of trade has become more risky and cumbersome.

    Beyond the challenges stemming from the geographically dispersed nature of supply chains, rising customer expectations for cheap and customized products delivered on demand require companies to be more time and cost-efficient in every way.

    Securing quick access to trade finance is now one of many challenges businesses must overcome. But financing has been made more difficult by the continuing fallout from the 2008 financial crisis as banks de-risk.

    According to an International Chamber of Commerce (ICC) survey of 357 respondents located in 109 countries — [1]

  • global trade had yet to recover from pre-financial crisis levels in 2008.
  • 2016 was the fifth consecutive year of world trade falling below 3 percent.
  • 61 percent cited a global shortage of trade finance as a major issue.
  • The absence of trade financing is especially acute in developing nations where many entrepreneurs are unable to start businesses and established companies remain unable to grow.

    “SMEs in developing economies — given their opacity, lack of collateral and audited financial statements, are considered as high risk by banks.” [2]

    What’s driving this?

    The shortage of trade finance is primarily due to risk and the complexity and high costs associated with regulatory compliance, which today can span across diverse regulatory jurisdictions in multiple regions.

    Anti-Money Laundering (AML) and Know Your Customer (KYC) compliance has become a debilitating pressure on financial institutions, resulting in many organizations scaling back their operations due to risk. In some emerging markets, banks have withdrawn their services altogether due to regulations like Basel III.[3]

    “Sanctions have now become a political weapon in foreign policy, leading to trade finance business coming under increased pressure from increasingly stringent compliance and regulatory requirements. Both financial institutions (FIs) and corporates must ensure they have the necessary solutions and processes to enforce embargoes, whether they are imposed on countries, FIs or goods. Sanctions are an integral part of foreign policy and as regulations tighten, countries are moving towards a zero-tolerance policy for FIs that contravene them.” [4]

    According to the Asian Development Bank, there is a gap of as much as $425 billion in trade funding in Asia alone.[5] A massive market made up of millions of micro, small and medium-sized enterprises has yet to be tapped into by trade finance providers.

    The failure to provide trade finance for SMEs is inhibiting economic growth in the developing economies of Asia and preventing global economic growth, as Asia increasingly becomes the world’s main growth engine.

    Old world trade finance processes are full of inefficiencies

    Inefficiencies are ingrained in every part of today’s opaque supply chains. This makes trade finance complicated, risky and cumbersome.

    Here is a summary of the main pain points -

    Multiple parties and legacy systems = an inefficient and costly process

    As supply chains have become more complex and globalized, the number of parties involved has increased. From the importer, exporter, the importer’s bank, the exporter’s bank to shipping companies, receiving companies, insurers, and other service providers, mass amounts of paper documents must flow through a tangled web at each stage.

    All this paperwork must be checked and confirmed by each party to ensure accuracy as well. Manual transaction processing of complex ownership and transfer related documents by multiple intermediaries through a range of communication points is time consuming, costly and often results in a delay in the shipment of goods.

    “A dizzying number of manual checks must be carried out to verify the legitimacy of a client, its trading partners and the goods that change hands. Most checks require the physical presence of a person, and the administrative work conducted by bank middle offices is overwhelmingly paper-based. The high cost of this process restricts access to trade finance for smaller businesses and especially those in developing economies whose credit-worthiness is difficult to establish.”[6]

    Intermediaries are heavily relied on throughout the trade finance process as the trustless environment demands third parties to verify the delivery of funds to the appropriate entities.

    Making things even more challenging is the utilization of disparate and siloed recordkeeping systems by each party. Miscommunications are common and significant version control challenges exist as changes get made to contracts and other documents.[7]

    Minimal transparency and traceability increase the risks of fraud

    A lack of transparency and traceability caused by fragmented and siloed record keeping infrastructures means trade financing can be used to hide the illegal movement of funds.

    From the misrepresentation of prices, quality or quantity of goods to faking the existence of a product altogether, fraudulent activities are easy to disguise.[8]

    “Because there is no common platform for banks to screen transactions financed by other banks due to confidentiality concerns, there is a possibility that customers may capitalize on this information-sharing gap to obtain financing from multiple banks using the same invoice.”[9]

    With separate and siloed infrastructures housing vital information like invoices, contracts, approvals and previous financing transactions, duplicate invoices are hard to detect, and any malicious activity is difficult to identify.[10]

    Unable to gain a complete picture of internal processes in real-time, companies and the financial institutions have limited capabilities to investigate fraudulent activities efficiently.

    Regulatory compliance &reporting is a constant drain on resources

    Financial institutions that offer trade financing services must complete several compliance steps as a part of the onboarding process for new clients.

    These steps which create significant time and cost delays include the collection, validation, and verification of key documents such as proof of identity, proof of address, proof of business registration and many others.[11] [12]

    The introduction of stringent regulations like Basel III is forcing financial firms to dedicate more resources to compliance than ever before and placing enormous burdens on them.

    New regulations also necessitate intensive reporting of counterparty exposures and transactions by companies and the maintaining of accurate records to be audited by the regulators. Due to disparate legacy systems, paper-based documentation processes and siloed record keeping, the aggregating and assessing the large volumes of data for reporting is difficult and a constant drain on resources.

    “Until fairly recently, compliance in trade finance was limited to the examination of documents. Nowadays, added to this is extensive screening — against multiple country lists — of numerous data elements embedded in ancillary documents, regardless of their role in the letter of credit (LC) and international guarantee. The traditional view that the main risk within trade finance is one of fraud has been superseded by a modern three-part categorisation of risk — namely embargoes; terrorist financing (including fraud); and sanctions/proliferation financing.” [13]

    Regulatory and compliance challenges have been exacerbated by the global nature of trade and the increase in both volume and speed of international trade flows.

    Using blockchain trade finance platforms to transform the financing of trade

    Efforts to improve centuries-old processes that sit at the heart of trade finance have failed to provide the necessary reforms.

    “There still exists a fundamental divide between vital business information, like invoices and trade contracts, and the financial transactions that need to be executed by banks and other institutions to complete the transaction. At the end of these processes remains a herculean effort to reconcile the business logic and related documents with the financial transaction.” [14]

    Unlike most ‘technology wrapper’ solutions, blockchain is no band-aid fix.

    It’s the real deal.

    The technology’s promise lies in its ability to remove the cause of almost all the pain points within trade finance.

    By replacing rigid, siloed and insecure centralized trade finance systems with a unified IT and record keeping infrastructure, blockchain technology provides trade parties the ability to track and immutably record the movement of goods and information across entities on a shared ledger. [15]

    The manually intensive and paper-based processes which have opened trade finance to human error, fraud and settlement delays are eliminated as all documents are digitized and stored on an unchangeable ledger.

    By digitizing documentation like contracts and invoices and storing them on a unified ledger, it becomes safer and more efficient to move documents around between parties.

    “We’re moving pieces of paper around, moving information between banks and other players in the supply chain, and that is where we will see lots of efficiencies created as a result of blockchain.”[16]

    Storing all ownership documentation and transaction records on a single and immutable ledger that is accessible and visible to all entities also stops the need to manually check document changes and share data other parties which have traditionally taken a considerable amount of time.

    With a blockchain trade finance Platform, there is no need to store copies of the same document on numerous databases across various entities. Fixing needless errors, duplications and reconciling data sets across geographically dispersed parties is no longer necessary.

    Beyond these game-changing benefits, companies, financial institutions, and government regulators can also gain granular traceability and auditability into the trade financing process as blockchain enables real-time, system-wide visibility into a single source of truth.

    A quick note on privacy in blockchain trade finance platforms

    Privacy and confidentiality are vital considerations when it comes to solutions for trade finance and other financial services as well.[17] It’s understandable that many trade finance professionals may be wondering how privacy is protected in a shared ledger system.

    “The challenge of maintaining Chinese walls or data privacy among counterparties to trade transactions could be overcome by utilising tokenisation as a form of cryptography, whereby parties are only allowed to access permissioned information.”[18]

    Due to privacy-related considerations, permissioned blockchains are likely to see faster adoption as issues of this nature are more easily resolved within a consortium of known parties. Private or consortium blockchains, can restrict access to information and deliver members of the network greater control over privacy.

    Trade finance is ripe for automation

    Blockchain enabled smart contracts have the potential to make transformational improvements in trade finance.

    When run on a blockchain, smart contracts become self-executing contracts where contractual enforcement, rights, and obligations, performance, and payment are automatically executed by an autonomous system that’s trusted by all signatories.[19]

    Smart contracts can end the reliance on costly and inefficient intermediaries and eliminate many of the manual and paper-based processes involved in trade finance like letters of credit and structured commodity finance as well.[20]

    “For example, various inputs can be collected on a blockchain platform to automatically execute the release of funds or transfer of digital assets (such as receivables) based on smart contracts.”

    “This process allows for a qualitatively different approach to trade that has the potential to marry information, transactions, trade contracts and business logic to provide automated digital asset transfer alongside real-time settlement.This idea, taken to its logical extreme, could mean truly automated supply chain and financial operations between businesses (and even machines) with no-touch straight-through processing.”[21]

    With secure, tamper-proof digital trade documents available to all parties, fraud and other execution risks can be reduced or even eliminated as the immutable and programmable nature of a blockchain enabled smart contract prohibits manipulation and nonperformance.

    Just imagine a blockchain trade finance platform that tracks goods and automatically releases payments as these goods move around the world? An automated trade finance platform.

    Realizing a new inclusive digital era of trade finance

    Blockchain trade finance platforms have the potential to solve debilitating inefficiencies in trade finance.

    The technology is uniquely qualified to replace the outdated, siloed IT systems and paper-based processes which facilitate the exchange of data and serve as the backbone of trade finance workflows.[22]

    By digitizing the entire trade finance process from order to settlement and bringing all the participants to a single platform, blockchain technology transforms trade finance into a more efficient, less complex and risky process.

    “Blockchain technology continues to show the greatest potential to streamline trade finance and maximise the value it delivers to business and financial institutions alike.”[23]

    With many of the inefficiencies, risks, and complexities taken out of the trade finance process, financial institutions can begin to address the financing gap experienced by small and medium enterprises (SMEs) in Asian emerging economies and around the world.

    A shortage of trade finance which has inhibited business growth and slowed financial inclusion can finally come to an end as the risks, complexities, and costs associated with the provision of finance are almost eradicated altogether.

    “Small and medium-sized enterprises (SMEs, i.e. companies defined as employing 250 or fewer workers) constitute the vast majority of companies registered in both developed and developing countries. Their role in economic activity, generating growth and innovation cannot be overstated. According to the World Bank, SMEs contribute to over 60 percent of total employment in developed countries and 80 percent in developing ones, including the estimated informal sector.” [24]

    New and dynamic blockchain trade finance platforms have the potential to provide millions of micro and small businesses access to trade financing as improved efficiencies and risk assessment abilities give financial providers the ability to offer more affordable financing terms.

    Trade financiers gain access to previously inaccessible revenue streams, new trading relationships are initiated and unprecedented economic growth can be unlocked.

    Progress has little to do with technology

    When it comes down to it, realizing a new digital era of trade finance through the utilization of blockchain has little to do with technology.

    Legal and structural challenges need to get resolved if blockchain trade finance platforms are to become a reality. This will require unprecedented inter-industry cooperation, industry-government partnerships, and the development of new paradigms of understanding.

    This will not be easy.

    Governments must begin to understand blockchain technology on a deeper level and start to build new regulatory frameworks.

    Without updated regulations alongside the introduction of blockchain based trade finance platforms, the impact will be minimal.[25]

    “The extent to which this new technology realizes its potential will depend in substantial part upon how well stakeholders steward its development. There remain important open governance questions regarding both the functioning of the technology and its current and potential applications.” [26]

    Major players in the trade finance industry have already begun to build blockchain trade finance consortiums of mutual interest.

    IBM has been chosen by a consortium of seven of Europe’s largest banks to construct and host a new trade finance platform. The platform is designed to simplify trade finance processes for small and medium enterprises in Europe by addressing the challenge of managing, tracking and securing domestic and international trade transactions.

    “Consortiums make sense because the success of shared ledger and blockchain technologies requires significant levels of market participation, collaboration, and investment. The consortium is less about a technology solution or a particular business model. It’s more about how companies who haven’t been able to trust each other in the past can come together and collaborate and share information.” [27]

    With enhanced and efficient trade finance processes come far-reaching benefits.

    These go beyond the game-changing advantages delivered to the providers of trade finance. The effective use of blockchain based trade finance platforms will also lead to the realization of greater levels of financial inclusion for millions of people living in developing economies.

    The flow-on impact for global economic growth will be unparalleled.

    If you like this article on transforming global trade with blockchain trade finance platforms, discover how blockchain technology can be used in identity, global supply chains, insurance, compliance, civil services and national healthcare systems.

    Anthony is the head of content and research at Intrepid Ventures. He has spent the past several years researching and analyzing technologies and working with a diverse mix of blockchain companies to help them gain insight and develop authoritative content.

    Realizing the revolutionary nature of blockchain technology and the existence of a significant knowledge gap among entrepreneurs, industry, and government, Anthony now concentrates his time on creating educational content, researching potential use cases and analyzing the impact of the technology on global industries.


    Effects of a 20-month cluster randomised controlled school-based intervention trial on BMI of school-aged boys and girls: the HEIA study | killexams.com real questions and Pass4sure dumps

    Background

    The increasing rates of overweight and obesity in children and adolescents have resulted in several initiatives aiming to prevent further development of the epidemic. School-based interventions targeting prevention of overweight and obesity in children have yielded mixed results.1 ,2 However, evidence supports beneficial effects of child obesity prevention programmes on body mass index (BMI) in systematically developed interventions that promote healthy eating and physical activity and emphasise support from teachers and parents and home activities.1

    A recent systematic review and meta-analysis of controlled trials of objectively measured physical activity concluded that successful physical activity interventions have only had a small effect on children's overall activity levels,3 which may partly explain why they have had limited success in preventing childhood obesity. Methodological shortcomings have also been used as an explanation for the lack of intervention effects.2 Many intervention studies are underpowered to detect small differences between groups, particularly on adiposity outcomes.1 Longer term programmes and comprehensive school-based interventions may be more effective than shorter programmes.4–6 There is ongoing discussion regarding the optimal measure of adiposity in larger studies of children and adolescents. Some authors claim that BMI-for-age z-score (BMIz) is the best measure as it adjusts for the age and gender of the child7 while others claim that BMI most aptly represents a child's adiposity.8 ,9 BMI and BMIz are merely estimates of body fatness as these indices do not differentiate between the types of tissue that contribute to body weight (fat, muscle or bone mass).

    To determine whether a school-based intervention is truly an effective means to reduce body fat, it may be necessary to assess it using a number of different anthropometric variables.4 Questions have also been raised about intervention reach.2 Gender and socioeconomic status may moderate intervention effects.10 There are still relatively few methodologically strong trials aimed at the primary prevention of weight gain in older children, thus indicating a need to strengthen the evidence base.6 ,11 ,12

    Previous results from the HEalth in Adolescents (HEIA) study have shown intervention effects both in psychological and social-environmental determinants of physical activity13 and in targeted behaviours like time spent watching TV/DVD, computer/game use, consumption of sugar-sweetened beverages14 and physical activity15 in either the total sample or the subgroups.

    Therefore, we address the following primary objective: to investigate the effects of a systematically developed, 20-month multicomponent school-based intervention programme, the HEIA study, on BMI.

    Our secondary objectives were to investigate whether the effect of the intervention on anthropometry was influenced by gender, pubertal status or level of parental education.

    Methods

    The HEIA study was based on a socioecological framework and the intervention was designed so that it was feasible to implement and of low cost so that it could be sustained in the public school system. The design and procedures of the HEIA study are thoroughly described elsewhere.16 The CONSORT Statement for reporting a randomised trial was followed according to applicability (http://www.consort-statement.org).

    Study design and participants

    Eligible schools were those with more than 40 students in the sixth grade and located in the largest towns/municipalities in seven counties in south-eastern Norway. Of the 177 schools invited, 37 agreed to participate (figure 1). All sixth graders in these 37 schools (n=2165) were invited to participate. Of these, 1580 (73%) children returned a parent-signed informed consent form. Twelve schools were randomly assigned by blind draw with all investigators present to the intervention group (n=784 children) and 25 schools to the control group (n=1381 children). Neither participants nor investigators were blinded for condition.

    Figure 1

    Flow diagram of recruitment, randomisation and participation of children in the HEalth in Adolescents study. *Percentage of participants with consent.

    The data collections took place at each school in September 2007 (baseline) and in May 2009 (postintervention). Anthropometrics were measured by trained staff, and participants filled in a short-paper questionnaire about pubertal status; 1376 children (87% of those returning consent) provided data at baseline and 1361 children at postintervention. A total of 1324 children provided data at both time points which constitute the analysed sample in this paper. A priori, per protocol and drop-out analyses were chosen over intention-to-treat.17 Power calculations were based on changes in BMI. Taking the cluster effect of randomly assigning schools to intervention and control into account, assuming that 80% of the students would participate and that the attrition rate would not exceed 15%/year, we aimed for 40 schools (10 intervention and 30 control) with an average of 45 students participating from each school. According to these assumptions, we calculated that we should be able to detect a difference between intervention and control schools after 2 years of 0.72 kg/m2 in BMI.16

    Ethical approval and research clearance were obtained from the Regional Committees for Medical Research Ethics in Norway and from the Norwegian Social Science Data Service.

    Intervention

    The multilevel approach included collaboration with school principals and teachers, school-health services and parent committees. Multiple intervention efforts were orchestrated to promote a healthy diet and to increase awareness of healthy choices, to increase participants’ physical activity during school hours and leisure time, and to reduce screen-time. Schoolteachers were the key-persons to implement the intervention components. The main ones are outlined in table 1 and further described elsewhere.16

    Table 1

    The HEIA study: intervention components implemented in the sixth and seventh grades in 12 Norwegian schools in 2007/2008 and 2008/2009

    Anthropometric outcomes

    A trained staff person of the same sex as the study participant conducted the anthropometry. Participants wore light clothing or underwear only during these assessments. Height was measured to the nearest 0.1 cm by a wall-mounted measurement tape with the participant standing upright against the wall. Weight was measured to the nearest 0.1 kg by a digital scale/body composition analyser (Tanita TBF-300; Tanita Corp., Illinois, USA). Waist circumference (WC) was measured to the nearest 0.1 cm by a measuring tape between the lower rib and the iliac-crest at the end of a normal expiration. BMI was calculated (kg/m2). BMI-for-age and sex z-score (BMIz) was calculated by adapting syntaxes for SPSS provided by WHO.19 The age-specific and gender-specific BMI cut-off values proposed by the International Obesity Task Force were used to categorise the children as being of normal weight or overweight/obese.20 Only 1.8% of the participants at baseline were obese and thus included with those overweight in the analyses. Waist-to-height ratio (WTHR) was calculated as the ratio of waist (cm) to height (cm).

    For ethical reasons, children were asked to self-report their pubertal status by a separate and sex-specific paper questionnaire at the end of the data collection. The questionnaire was based on the Pubertal Category Scores.21 The children were categorised into five puberty categories which were collapsed to three because of low numbers in the latter two categories (3.5% of the participants in total): prepubertal, early-pubertal, mid-pubertal/late-pubertal/postpubertal. A reliability study of the anthropometric measures was conducted prior to the survey among 114 children;16 all tests had a reasonable reproducibility (intra-class correlation (ICC) and Pearson's R 0.76–0.99, p<0.001, except voice change (boys only) ICC 0.36, p<0.006).

    Demographic characteristics

    On the informed consent, parents reported their educational level. Parental education was categorised into three levels: <12 years (low), 13–16 years (medium) and >16 years (high).

    If both parents provided level of education, we included the parent with the highest level of education in our analyses; we otherwise used data provided by either parent.

    Data preparation and statistics

    To address the clustered effects of schools as the unit of recruitment while children were the unit of analysis, we conducted a Linear Mixed Model Procedure (analyses available upon request). Both Tabachnick and Fidell and Heck et al state that if the ICC is small when quantifying the degree of clustering (<5%), there is no meaningful difference among groups and the data may be analysed at the individual level.22 ,23 As only 2% of the variance in BMI and WC was explained by group, we did not adjust for clustering in our analysis.22 ,23

    Baseline differences between the intervention and control groups were tested with independent sample t tests and a χ2 test. Drop-out analyses were done likewise. The effect of the intervention was determined using one-way analysis of covariance (ANCOVA) with the postintervention value for the outcomes as the dependent variables (continuous variables), baseline values of the outcomes as covariates and group (intervention vs control) as the independent variable. The same technique was used for categorical outcomes using logistic regressions. Interaction effects by gender, pubertal status and parental educational level were tested in separate analyses as a second step using two-way ANCOVA/logistic regressions with the interaction terms as covariates. The significance level of the interaction tests was set to p<0.1. Significant interactions were explored by rerunning the analyses stratified by the moderator. The significance level of the main analyses was set to p<0.05. Data were analysed using the IBM SPSS Statistics V.18 (IBM Corp., New York, New York, USA).

    Results

    Only 4% of children dropped out of the study and attrition was equal between the intervention (n=17) and control (n=35) groups. Drop-out analyses showed that the participants lost to follow-up (n=52) weighed more (42.8 vs 39.7 kg, p=0.01) and had a higher BMI (19.2 vs 17.9 kg/m2, p=0.01) and BMIz (0.55 vs 0.10, p=0.003) than the investigated sample (n=1324). No other differences were detected.

    There were no significant differences between the intervention and control groups at baseline with respect to age, gender, weight, height, pubertal status and parental education (table 2), as well as for body composition estimates. Table 2 also shows baseline characteristics by gender for descriptive purposes.

    Table 2

    Characteristics at baseline for the HEIA study intervention and control groups and by gender

    For the total sample, there were no significant intervention effects on any of the body composition measures outlined in table 3, or for weight status: OR 1.6 (95% CI 0.9 to 2.7), p=0.1. Gender was identified as a moderator of the intervention effects on BMI (p=0.02), BMIz (p<0.01), WC (p=0.05) and WTHR (p=0.05). The effect on BMI was also moderated by parental education (p=0.04); similar was the effect on WTHR (p=0.06). No moderating effects of pubertal status were detected (data not shown). After stratification, there was a significant intervention effect on BMI for girls; girls in the intervention group increased less on BMI compared with the control group. No such effect was seen for boys. Similarly, an intervention effect was seen on BMIz for girls but not for boys. For WC and WTHR, there was no significant intervention effect for either gender after stratification (table 3). Furthermore, a beneficial intervention effect on BMI among the participants of parents with high education was found, but no effect was detected among participants of parents with medium or low education. For WTHR, a negative effect was found among participants of parents with low education.

    Table 3

    Intervention effects of the HEIA study on anthropometric outcomes after 20 months; total sample and by gender and parental education

    Discussion

    The HEIA study had a beneficial effect on BMI and BMIz in girls, but not in boys. A beneficial effect on BMI was seen among participants of parents with higher education. However, a negative intervention effect on WTHR was seen among participants of parents reporting low education.

    Effect of the intervention on BMI

    One reason for the lack of overall effect on BMI for both boys and girls can be the inadequate dose received of intervention components. Unpublished process evaluation data indicate that the level of implementation of the components decreased from midway to postintervention, thus reducing both the reach and dose received by the participants. Furthermore, since low cost and high applicability of the intervention activities in the public school system were given high priority, this may also have limited the dose received on each of the targeted behaviours. Moreover, the diet and activity behaviours that were promoted in the intervention, separately or in combination, may not have been sufficient to affect estimates of body composition to a greater magnitude.3 The length of the intervention, being almost two academic years, can be considered relatively long compared with similar school-based interventions.4 ,5 ,24 Sufficiently intense intervention (daily expert-led physical education) and adequate duration (1 year) were two strengths that were pointed out in the successful KISS study, which managed to favourably affect estimates of body composition in first and fifth grade schoolchildren.24 Additionally, both the control group and the intervention group in the present study increased their total physical activity significantly during the intervention.15 This was unexpected as a decline in physical activity with increasing age has repeatedly been documented between the ages 9 and 15.25–27 We cannot rule out that the control schools have initiated their own health-promoting initiatives, even if allocated to the control arm of the study. For ethical reasons, we made no attempt to prevent this. The lack of overall intervention effects can also be due to the limited potential for change, as the majority of participants in this study were of normal weight at baseline.5

    Effect of the intervention on secondary objectives

    We have previously reported that gender moderated the effect of the HEIA intervention on dietary behaviours, sedentary behaviours and physical activity.13 ,14 The effect of the intervention was greater for girls than for boys on most of the outcomes we investigated.

    This can have several explanations. Four female researchers developed the intervention and assisted the implementation. The majority of teachers involved in this project were women. Unintentionally, the intervention components may therefore have been better adapted and delivered to girls than to boys. The earlier demonstrated intervention effects on behaviours in girls but not in boys may partly explain why the intervention was effective on BMI and BMIz among girls only.14 ,15 It is possible that boys did not change their physical activity level as much as girls because of higher baseline values and, consequently, had a smaller potential for change. Furthermore, the issues addressed in the study may be of greater interest to girls, or girls may be more conscientious regarding the intervention components than boys. We appreciate the results showing that the intervention reached and affected girls. However, we also acknowledge that the intervention failed to affect the same outcomes in boys. Similarly, the American ‘Planet Health’ study significantly reduced the prevalence of obesity in 12-year-old girls by promotion of physical activity, modification of dietary intake and reduction of sedentary behaviours, but found no effect on boys.28 On the other hand, another American intervention study targeting environment, policy and social marketing (M-SPAN) showed a significant reduction in BMI in 11-year-old to 13-year-old boys over two school years, but not in girls.29 A systematic review of school-based interventions that focused on changing dietary intake and physical activity to prevent childhood obesity concluded that such interventions may be more effective for younger children and girls.30 The authors suggested that children aged 10–14 years may respond differently by genders to different intervention elements.

    The present study demonstrated a beneficial intervention effect on participants having parents with high education, and a negative intervention effect on participants in the lowest parental education group with respect to WTHR. While acknowledging that we failed to positively reach participants of parents with low education, the reason is not readily explainable. In an attempt to explain social differences in fruit and vegetable consumption among Norwegian schoolchildren, Bere et al31 found that children with lower educated parents had less access to fruits and vegetables than children with higher educated parents, and hypothesised that cost, greater knowledge, health considerations and greater support from family and friends could be the reasons for this difference. The results are in line with earlier findings, which describe a social gradient in the problem of adolescent overweight and obesity,32–35 and which show that population-based intervention efforts seem to reach participants from different socioeconomic backgrounds differently and may contribute to increased health inequalities.1 ,36

    In this paper, we chose to include multiple estimates of body composition as called for,4 although BMI was the main outcome variable in the study. It is noteworthy that relatively closely related outcomes, that is, BMI and WTHR, gave different results regarding intervention effects. All the investigated outcomes are descriptions of body composition and more equal effects could have been expected. The results suggest that there are differences in how the intervention affects these measures. The power analyses were calculated to detect differences between groups for BMI; the other investigated anthropometric outcomes may have required a larger sample size to detect intervention effects.

    Regarding effect size, all the significant effect sizes were classified as small. The highest explained variance was only 1.4% in girls’ BMIz and WTHR in the lowest parental education group. This means that most of the participants’ estimates of body composition development during the trial were explained by other factors, and thus the importance of the intervention effects may be limited. However, obtaining small but beneficial findings such as this can be important for public health if implemented on a larger scale and with a longer duration.

    Strengths and limitations

    The strengths of the study include the systematic development of the intervention and the study design, which were based on the current recommendations and best practice.2 ,29 ,37 Other strengths were the large number of participants from a narrow age group. Furthermore, the multicomponent intervention lasting 20 months was designed to be feasible to implement within the school system and not financially demanding. Also, the anthropometric measures were objectively assessed, self-reported pubertal maturation was included and parental education was reported by a parent for nearly the full sample.

    We acknowledge that our study has limitations. A possible selection bias might be present because a rather large proportion of invited schools declined to take part in the study. Recruiting schools in Norway to extracurricular projects has become a challenging undertaking over the past decade, as curricular and administrative demands on schools have increased substantially. In addition, weighing of children is a controversial issue in Norway and has been debated in the national media repeatedly. However, attrition analyses showed no differences between the participating schools and schools which declined to participate in terms of the number of students in the sixth grade and the overall size.38 The drop-out analyses showed that participants lost to follow-up had a higher BMI and indicate that we lost participants that we intended to reach. A possible reason for this attrition could be resistance to assessment of anthropometrics in light clothing or underwear only. This was discovered as the main reason for adolescents to refuse participation in the anthropometric measurement in a Dutch school-based weight gain prevention programme.39 However, the drop-out rate was small and equal in both groups, and no further differences were detected. Also, when investigating the intervention effects of a multicomponent intervention, it is not possible to sort out the effects of the different components. Finally, as the sample was recruited from a limited geographic area, this could reduce the generalisability of our findings. However, the objectively measured height, weight and total physical activity from the participants in this study fall adequately between the measures of 9-year-olds and 15-year -olds in a nationally representative sample.40

    Conclusion

    We demonstrated that a 20-month comprehensive multicomponent school-based intervention designed to increase physical activity, reduce sedentary time and stimulate a healthy diet successfully decreased BMI and BMIz among girls, but not boys.

    The intervention had a beneficial effect on BMI among children of parents with higher education, but not among children of parents with lower education. Future interventions should be aware of differences in how the intervention affects genders and socioeconomic groups, and should adequately address this issue to eliminate chances of increasing inequalities in health with regard to obesity development.

    What this study adds
  • A multicomponent school-based obesity prevention intervention produced significant positive effects on estimates of body composition among participating adolescent girls, but not among the boys.

  • The intervention gave positive results for participants having parents with higher education, while negative effects were seen among those with parents having lower education. The risk that interventions contribute to increase social inequalities in health should be given attention in future intervention studies.

  • Acknowledgments

    We sincerely thank the participants, their parents and teachers and the project staff.



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