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Idaho Lottery results: See winning numbers for Powerball, Pick 3 on Oct. 15, 2025  Yahoo News Australia
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DUEL Warriors codes (November 2025) [Slayer]  Destructoid
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For the second Friday in a row, a single UK ticket-holder has won the £25million EuroMillions jackpot, as announced by The National Lottery.
The eye-watering October 10 jackpot’s winning numbers were 06, 07, 17, 20, and 21, and the Lucky Star numbers were 01 and 10.
The winner matched all these numbers, while three individuals were able to match five numbers and one lucky star to win a whopping £40,638.50. Another five people matched just the five numbers and won £8,036.60 each.
Players of the National Lottery are being urged to check their tickets, with two millionaire jackpot prizes from last night still unclaimed.
This October 10 draw made it the second consecutive Friday night that a UK ticket-holder bagged the top prize, and the fourth time this year it went to a UK ticket-holder. Last Friday saw the £26m jackpot won by a single UK ticket-holder, while another player bagged a massive £65m on Valentine’s Day, and a third winner scooped up £83m back in January.
READ MORE: EuroMillions winning numbers and full lottery results for October 10
READ MORE: Winning EuroMillions numbers and full lottery results with Thunderball October 7
The senior winners’ adviser at Allwyn (the operator of The National Lottery), Andy Carter, said: “Wow, it’s been an exciting night for EuroMillions players, as a single UK ticket-holder has landed the amazing £25m jackpot. That’s two UK EuroMillions jackpot wins in the space of a week, after another lucky player scooped the incredible £26M jackpot in last Friday’s draw (October 3).
“Players are now urged to check their tickets and to give us a call if they think they are tonight’s lucky winner.”
Every EuroMillions ticket also bags its purchaser an automatic entry into the UK Millionaire Maker, which guarantees at least one player will pocket an incredible £1million in each and every draw. The UK Millionaire Maker Selection winner last night was TGXG94724.
These results come after the National Lottery’s live stream was interrupted last night due to technical issues. EuroMillions draws are run and held by the French operator of the National Lottery, La Française des Jeux, in Paris.
A ticket for the immensely popular EuroMillions draw which takes place every Tuesday and Friday, costs £2.50. Purchasing a EuroMillions ticket ensures automatic entry into the UK Millionaire Maker draw which creates new UK millionaires each week. The overall jackpot prize can go as high as £167million.
On Saturday, October 4, one ticket-holder scooped the entire £10,633,323 Lotto jackpot by matching all six main numbers: 06, 08, 12, 33, 49, and 59. Since the winning numbers were all purchased in-store, National Lottery players are being urged to carefully check their physical tickets to see if they’re the lucky winner.
The EuroMillions draw has been around for over two decades, with the first draw having taken place on February 7, 2004, by three organisations: The Camelot in the UK, France’s Française des Jeux, and Loterías y Apuestas del Estado in Spain.
In the past, one of the UK’s most massive prizes was up for grabs on December 4, 2020, with a staggering £175million EuroMillions jackpot on the line that would make its recipient even wealthier than Adele.
Some of the other winners of the massive jackpot were Chris and Colin Weir from Largs, Scotland, who bagged a monumental  £161,653,000 in the July 12, 2011, draw.
Gillian and Adrian Bayford from Suffolk’s Haverhill netted a colossal £148,656,000 after winning the August, 10, 2012, EuroMillions draw, while Jane Park went on to become Britain’s youngest lottery winner at just 17 years of age after scooping up a cool £1 million in 2013.
Yet another UK winner, who wished to remain anonymous, won the life altering jackpot of £170,221,000 in the October 8, 2019, draw.
The odds of winning any EuroMillions prize are 1 in 13 while the odds of winning the jackpot are 1 in 139 million.
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Pedestrians walk past a digital broadcast in Mumbai announcing the start of a military offensive named “Operation Sindoor” on Wednesday. Photo: INDRANIL MUKHERJEE / AFP
India launched missile strikes on nine sites in Pakistan and Pakistan-administered Kashmir early Wednesday morning in a campaign titled “Operation Sindoor”.
Two days of subsequent fighting between the nuclear-armed neighbours have killed nearly four dozen people.
India’s offensive followed a terrorist attack in Indian-administered Kashmir that killed 26 people last month.
India said Pakistan-based Islamist militants were responsible for the attack, but Pakistan has denied involvement.
But what lies behind the name given to the military operation?
Sindoor is the Hindi word for vermilion, a red powder that is a traditional marker of the marital status of Hindu women. It is usually worn in the parting of a woman’s hair.
According to custom, the powder is wiped off and never applied again if a Hindu woman is widowed.
In Hinduism, the red colour of vermilion is a symbol of fertility, love and prosperity. It’s also believed to protect the family.
According to legend, Hindu Goddess Parvati, wife of Lord Shiva, wore vermilion as a symbol of piety and affection towards her husband.
It is believed that Hindu women in the Indian subcontinent have been wearing sindoor for thousands of years, with excavated female figurines from prehistoric times depicting the ritual.
Some ancient Indian texts also reference the application of sindoor.
For a country as large and diverse as India, it is difficult to generalise anything.
The ritual remains widespread in some Hindu communities, while not so much in others.
Some women apply it every day, some only when attending family functions and religious rituals, and some never apply it.
But regardless of how often sindoor is applied, many married Hindu women hold onto an emotional attachment to the application of the powder.
Some are critical of the expectation for married Hindu women to wear Sindoor, claiming it pushes them lower in the social gender hierarchy.
They view sindoor as a symbol of patriarchal control and gender inequality.
While women are expected to wear symbols that indicate marital status, there is no such expectation of married Hindu men.
The name is an apparent reference to the widows left by the Pahalgam terrorist attacks in April that killed 26 men, most of them Hindu.
Some have interpreted the name to be vengeance for the women who were widowed because of the attack.
Taking the symbolism further, the Indian Army announced the military offensive with a grim social media image that depicts spilled vermilion resembling spattered blood.
“Justice is served,” read a message in the social media post that accompanied the image.
Copyright © 2025, Radio New Zealand
IndoNZ is a dedicated initiative producing content for and about the diverse Indian community in New Zealand.
Radio New Zealand is an independent public service multimedia organisation that provides audiences with trusted news and current affairs in accordance with the RNZ Charter. Contact the team by email at indonz@rnz.co.nz
New Zealand’s Indian and Pakistani residents call on the two neighbouring nuclear powers to halt rapidly rising hostilities.
The worst fighting in more than two decades has erupted between the two nuclear-armed enemies.
India, Pakistan and China all claim partial or complete ownership of the region, but how did that become the case?
Analysis – India and Pakistan are getting perilously close to a dangerous military confrontation.
The worst fighting in more than two decades has erupted between the two nuclear-armed enemies.

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Lotto results Winning National Lottery numbers tonight £5m jackpot Wednesday, November 5  Liverpool Echo
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The following article was first posted in the Insights section of Harris Beach Murtha’s website. It is reposted here with permission.
In its ongoing efforts to revamp the H-1B visa status framework, the U.S. Department of Homeland Security issued a Notice of Proposed Rulemaking on Sept. 24, 2025, proposing a regulatory rule to change the process by which cap-subject H-1B status applicants are selected by U.S. Citizenship and Immigration Services (USCIS) for eligibility to file H-1B petitions in its annual lottery.
This substantive change proposes a weighted lottery selection system whereby H-1B beneficiaries offered the highest wages are given the highest likelihood of being chosen in the lottery and afforded the opportunity to subsequently petition for H-1B work status.
This system is a marked departure from the current system, in which there is generally no special preference given to H-1B lottery entrants.
The H-1B visa status classification is the most common visa type used for U.S. employers to hire and employ foreign nationals for temporary employment. This status is available to those hired to be employed and perform services in a “specialty occupation.”
This term is defined in the relevant immigration regulations as an occupation that:
“… requires theoretical and practical application of a body of highly specialized knowledge in fields of human endeavor including, but not limited to, architecture, engineering, mathematics, physical sciences, social sciences, medicine and health, education, business specialties, accounting, law, theology, and the arts, and which requires the attainment of a bachelor’s degree or higher in a specific specialty, or its equivalent, as a minimum for entry into the occupation in the United States.” [8 U.S.C. § 214.2(h)(4)(ii)]
To implement and set limits upon the H-1B program, Congress set an annual quota restricting its use.
The current framework caps the annual quota for new H-1B petitions for those who have not been granted H-1B status during the previous six years at 65,000.
The H-1B cap numbers have not been updated for many years and have not accounted for population growth or the current needs of the U.S. economy.
An additional 20,000 slots are also allocated for those foreign national beneficiaries who have earned the minimum of a master’s degree from a qualifying U.S. educational institution.
Due to political constraints, the H-1B cap numbers have not been updated for many years and have therefore not accounted for population growth or the current needs of the U.S. economy.
Accordingly, for many years, the annual H-1B quota has been filled nearly instantaneously upon the commencement of the filing eligibility period.
This situation has led to the creation of the H-1B cap lottery system, wherein a random lottery system is used annually at the outset/opening of each H-1B cap season to determine which applicants will fill the available cap slots and be afforded the opportunity to petition for, and gain, H-1B status each year.
Until now, no special consideration in the annual cap lottery was given regarding the compensation level for each offered H-1B position.
Indeed, the plain language of the controlling Immigration and Nationality Act statute states that the H-1B cap slots conferring H-1B eligibility should be “issued … in the order in which petitions are filed for such visas or status” (thereby permitting the cap lottery system to be used at the commencement of each year’s quota system implementation in a random nature, and not by limiting/favoring the availability of the H-1B program to those employers who pay the highest compensation).
In contrast, the proposed new DHS rule drastically changes the way in which those who registered for the H-1B cap lottery are selected to have the opportunity to petition for H-1B status.
It instead institutes a new wage-based selection process system where the selection of H-1B registrations are prioritized/weighted based upon the salary compensation level the employer plans to pay the H-1B worker.
For instance, there are four wage levels currently used by the U.S. Department of Labor to categorize H-1B specialty occupations.
The selection of H-1B registrations are prioritized/weighted based upon salary compensation level.
This new rule utilizes that mechanism to prioritize each submitted lottery registration in terms of its likelihood to be chosen as a lottery winner.
In effect, those H-1B beneficiaries to be paid at the highest Level 4 wage will possess four times the chance of being selected in the lottery than those being paid at the Level 1 “entry-level,” those with Level 3 qualifying wage compensation will have three times the chance of success as Level 1 applicants, etc.
As a result, USCIS has acknowledged the probability of Level 1 workers being selected to be eligible to file an H-1B cap-subject petition will decrease by 48%!
Immigration advocates argue this proposed rule/regulation violates Congressional intent regarding the promulgation and implementation of the H-1B program, as Congress did not intend to limit the program’s use to employers with the ability to pay the highest wages.
Indeed, it can be rationally said the U.S immigration system as a whole was not created for, nor intended to be, a plutocratic type of system favoring the wealthy.
Immigration advocates claim this change will have a substantial negative impact on a wide range of U.S. employers and industries, including the healthcare and technology fields.
Additionally, they argue the new system will limit the ability of smaller businesses and startups to use the program to foster innovation and growth, thereby unnecessarily hindering the potential success of their business efforts.
Therefore, they say this consequence could ultimately hurt, not help, the U.S. economy.
Conversely, large corporations that can afford to pay the higher wages are enthused by this change, as it will undoubtedly lead to higher percentages of their H-1B cap lottery entrants being selected as winners, affording them the opportunity to employ more of these workers each year than prior lottery results have yielded.
The new system will limit the ability of smaller businesses and startups to use the program to foster innovation and growth.
In terms of what comes next, the 30-day comment period required by the Administrative Procedure Act ended in late October.
During this period, comments were submitted by immigration advocates, including the American Immigration Lawyers Association, in opposition to the proposed rule.
AILA requested that, at a minimum, this rule be delayed in its implementation and not used for the upcoming fiscal year 2027 cap filing season (the lottery for which will be administered in March of 2026).
Judicial action is also being contemplated by an array of immigration advocacy groups, but no lawsuit contesting the measure has been filed as of this writing.
Therefore, barring these types of developments to pause or prevent its implementation, the rule is likely to complete its required regulatory process in time to be implemented for the next H-1B cap lottery process in March.
Harris Beach Murtha’s Immigration Practice Group will continue monitoring this and related H-1B issues and update the public regarding future developments.
About the author: David Jacobson is a Harris Beach Murtha member who focuses his practice on employment-based immigration matters for corporate clients in various industries, including financial services, pharmaceuticals, media, information technology, real estate, construction, chemical and environmental engineering, market research, and advertising.
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January 2025: This post was reviewed and updated to use Git repository instead of AWS CodeCommit, which is no longer available to new customers.
Several factors can make remediating security findings challenging. First, the sheer volume and complexity of findings can overwhelm security teams, leading to delays in addressing critical issues. Findings often require a deep understanding of AWS services and configurations and require many cycles for validation, making it more difficult for less experienced teams to remediate issues effectively. Some findings might require coordination across multiple teams or departments, leading to communication challenges and delays in implementing fixes. Finally, the dynamic nature of cloud environments means that new security findings can appear rapidly and constantly, requiring a more effective and scalable solution to remediate findings.
In this post, we will harness the power of generative artificial intelligence (AI) and Amazon Bedrock to help organizations simplify and effectively manage remediation of security control findings. By using Agents for Amazon Bedrock with action groups and Amazon Bedrock Knowledge Bases, you can now create automations with AWS Systems Manager Automation (for services that support automations with AWS Systems Manager) and deploy them into AWS accounts. Thus, by following a programmatic continuous integration and development (CI/CD) approach, you can scale better and remediate security findings promptly.
This solution follows prescriptive guidance for automating remediation for AWS Security Hub standard findings. Before delving into the deployment, let’s review the key steps of the solution architecture, as shown in the following figure.
Figure 1 : AWS Security Hub control remediation using Amazon Bedrock and AWS Systems Manager
Note: The folder structure of the Git repository is based on AWS services, and there is a parameters file under each parent AWS service folder.
In this post, we focus on remediating the following two example security findings:
The example findings demonstrate the two potential paths the actions group can take for remediation. It also showcases the capabilities of action groups with Retrieval Augmented Generation (RAG) and how you can use Amazon Bedrock Knowledge Bases to automate security remediation.
For the first finding, AWS has an existing Systems Manager runbook to remediate the S3.5 finding. The solution uses the existing runbook (through a knowledge base) and renders an AWS CloudFormation template as automation.
The second finding has no AWS provided runbook or playbook. The solution will generate a CloudFormation template that creates an AWS Systems Manager document to remediate the DMS.1 finding.
Below are the prerequisites that are needed before you can deploy the solution.
There are four main steps in order to deploy the solution.
Configuring a knowledge base enables your Amazon Bedrock agents to access a repository of information for AWS account provisioning. Follow these steps to set up your knowledge base.
Prepare the data sources:
Create the knowledge base:
Note: After successful creation, copy the knowledge base ID because you will need to reference it in the next step.
Sync the data source:
IMPORTANT: The following steps are required for GitHub integration. If you choose to use a different source control provider, you may do so, but you will need to edit the committer class accordingly. This is crucial for the proper functioning of the solution with your chosen source control system.
GitHub Setup
This command will deploy all the necessary resources, including the Lambda function, the CodePipeline, and the Amazon SNS notification.
Create an action group linked to the Lambda function that was created in the CDK app. This action group is launched by the agent after the user inputs the Security Hub finding ID or finding title, and outputs a CloudFormation template in the Code Commit repository.
Note: For this solution, openapischema.json is provided to you in the Git repository. Upload the JSON into the S3 bucket created in Step 1 and reference the S3 URI when selecting the API schema in this step.
In order to validate the solution, follow the below steps :

Figure 2 : AWS Security Hub finding title
If a finding already has an AWS remediation runbook available, the agent will output its details. That is, it will not create a new runbook. When automation through a Systems Manager runbook isn’t possible, the agent will output a message similar to “Unable to automate remediation for this finding.”
Figure 3 : An example Bedrock Agent Interaction
Note: Bedrock_Generated_Template_Name refers to the name of the YAML file that has been output by Amazon Bedrock.
Figure 4 : An example Bedrock generated YAML file

To avoid unnecessary charges, delete the resources created during testing. To delete the resources, perform the following steps:
The integration of generative AI for remediating security findings is an effective approach, allowing SecOps teams to scale better and remediate findings in a timely manner. Using the generative AI capabilities of Amazon Bedrock alongside AWS services such as AWS Security Hub and automation, a capability of AWS Systems Manager, allows organizations to quickly remediate security findings by building automations that align with best practices while minimizing development effort. This approach not only streamlines security operations but also embeds a CI/CD approach for remediating security findings.
The solution in this post equips you with a plausible pattern of AWS Security Hub and AWS Systems Manager integrated with Amazon Bedrock, deployment code, and instructions to help remediate security findings efficiently and securely according to AWS best practices.
Ready to start your cloud migration process with generative AI in Amazon Bedrock? Begin by exploring the Amazon Bedrock User Guide to understand how you can use Amazon Bedrock to streamline your organization’s cloud journey. For further assistance and expertise, consider using AWS Professional Services to help you accelerate remediating AWS Security Hub findings and maximize the benefits of Amazon Bedrock.
Shiva Vaidyanathan is a Principal Cloud Architect at AWS. He provides technical guidance for customers ensuring their success on AWS. His primary expertise include Migrations, Security, GenAI and works towards making AWS cloud adoption simpler for everyone. Prior to joining AWS, he has worked on several NSF funded research initiatives on performing secure computing in public cloud infrastructures. He holds a MS in Computer Science from Rutgers University and a MS in Electrical Engineering from New York University.
Huzaifa Zainuddin is a Senior Cloud Infrastructure Architect at AWS, specializing in designing, deploying, and scaling cloud solutions for a diverse range of clients. With a deep expertise in cloud infrastructure and a passion for leveraging the latest AWS technologies, he is eager to help customers embrace generative AI by building innovative automations that drive operational efficiency. Outside of work, Huzaifa enjoys traveling, cycling, and exploring the evolving landscape of AI.
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