Press Release
WarRin Protocol: A point-to-point anonymous privacy communication system
Dr.WarRin
Summary
This white paper provides an explanation of the WarRin protocol and related blockchain, point-to-point, network value, transport protocol, and encryption algorithms. The limited space will highlight the WRC allocation scheme and purpose of the WarRin Protocol Token, which is important for achieving the WRC’s stated objectives. This white paper is for informational purposes only and is not a promise of final implementation details. Some details may change during the development and testing phases.
1. Introduction
Traditional centralized communication systems such as WeChat,WhatsApp, FacebookMessage,Google Allo,Skype face a range of problems, including government surveillance, privacy breaches, and inadequate security, and the WarRin protocol proposes apoint-to-pointencrypted communications system that leveragesblockchain technology, combined with Double Ratc het algorithms, pre-keys, and extended X3DH handshakes. The WarRin Protocol uses The Generalized Directional Acyclic Graph and Curve25519,AES-256, and HMAC-SHA256 as the pronamor, allowing each account to have its own unique account chain, providing unlimited instant communication between points and unlimited scalability, anonymity, integrity, consistency, and asynchronousness.
2. WarRin Protocol communication system
2.1 Two types of communication
The Waring Protocol communication system divides chat channels into two types.
Two modes of communication
- General Chat mode: Using point-to-point encrypted communication, the service side has access to the key and can log in via multiple devices.
- Secret Chat mode: Encrypted communication using point-to-point can only be accessed through two specific devices.
The design combines some of the advantages of raiBlocks multi-chain construction with IOTA/Byteball DAG, which we call the Waring protocol. With improvements, we have given the WarRin protocol greater throughput and faster processing power while ensuring the security of the ledger, and network nodes can store the ledger in less space and search their communications accounts quickly in the ledger. When two users communicate, third parties contain content that neither manager can access. When a user is chatting in secret, the message contains multimedia that can be designated as a self-destruct message, and when the message is read by the user, the message is automatically destroyed within the specified time. Once the message expires, it disappears on the user’s device.
2.2 How chat history is encrypted
2.2.1 MTProto Transport Protocol
MTProto transport protocol
The WarRin communication system draws on RaiBlocks’ multi-chain structure for point-to-point communication. Each account has its own chain that records the sending and receiving behavior of the account. For example, in Figure 1, there are 7 accounts, each with 7 chain records of the account sending and receiving communications. On the graph, horizontal coordinates represent the timeline, and portrait coordinates represent the index of the account.
Transferring information from one account to another requires two transactions: one to send a communication from the sender’s transfer content, and one to receive information to add that content to the content of the receiving account. Whether in a send-side account or a receiving account, a PoW proof of work with the previous communication content Hash is required to add new communications to the account. In the account chain, poWwork proves to be an anti-spam communication tool that can be done in seconds. In a single account chain, the Hash field of the previous block is known to pre-generate the PoW required for subsequent blocks. Therefore, as long as the time between the two communications is greater than the time required to generate the PoW, the user’s transaction will be completed instantaneously.
In such a design, only the receiving end of the communication is required for settlement. The receiving end places the received communication signature on the account chain, which is called accepted communication. Once accepted, the receiving end then broadcasts the communication to the ledger of the other nodes. However, there may be situations where the receiving end is not online or is subject to a DoS attack, which prevents the receiving end from putting the receiving side communication on the account chain, which we call uncommoted transactions. The X symbol in Figure 1 represents an open transaction sent from Account 2 to Account 5.
Obviously, because only the sending and receiving sides of the communication are required to settle, such communication is very lightweight, all traffic can be transmitted in a UDP package and processed very quickly. At the same time, all communications in an account are kept in one chain, with great integrity, and the ledger can be trimmed to a minimum. Some nodes are not interested in spending resources to store the full communication history of the account; They are only interested in the current communications for each account. When an account communicates, its accumulated information is encoded, and these nodes only need to keep track of the latest blocks so that historical data can be discarded while maintaining correctness. Such communication is only possible if the sending and receiving sides trust each other and are not the final settlement of the entire network consensus. There is a security risk in the absence of trust on the sending and receiving ends, or in situations where the receiving end is attacked by DoS without the sender’s knowledge.
We have observed that although each account has a separate chain, the entire ledger can be expressed in the form of a WarRin object. As shown in Figure 2, this is represented by the WarRin astros trading on all accounts in Figure 1.
The first unit in the WarRin object is the Genesis unit, the next six cells represent the allocation of the initial token, and the other units correspond to the communication transactions between the account chains. We use the symbol a/b to represent a communication transaction, where the sender is a andthe recipient is b. The last 4/1 unit in Figure 2 is the last communication corresponding to Figure 1 – sending communication from account 4 to account 1. A transaction in Figure 1 is a confirmation of the latest block or the latest communication on the account chains of both parties to the communication, reflected in Figure 2 as a reference to the latest units of the account chains of both parties to the communication. Take unit 4/1, for example, where the latest block on account 4 was the receiving block for 2/4 trades and the newest block on account 1 was the send block for 1/5 trade. So on the DAG, the 4/1 cell refers to the 2/4 cell and the 1/5 cell.
The WarRin protocol uses triangular shrapned storage technology to crack impossible triangles in the blockchain through the shrapghine technology, with extensive node engagement and decontalination while maintaining high throughput and security:
- Complete shraping of blockchain status;
- Secure and low-cost cross-synth trading;
- Completely random witness selection;
- Flexible and efficient configuration
Complete decentralization ensures absolute security and scalability of the standard chain.
(Figures above show seven Ling-shaped objects:2/1 one;3/2 one… )
2.2.2 Curve25519 Elliptic Curve Encryption Algorithm
Curve25519, proposed by Daniel Bernstein, is anelliptic curve algorithm for the exchange of The Montgomery Curve’s Difi Herman keys.
Montgomery Curve Curve Mathematical Expression:
Curve25519 Curve Mathematical Expression:
Curve25519 encryption algorithms are used for standard private and public keys, and the private keys used for Curve25519
encryption algorithms are typically defined as secret
indices, corresponding to
public keys, coordinate points, which are usually sufficient to perform ECDH (elliptical) and symmetrical elliptic curve encryption algorithms. If one party wants to send information to the other party and the other party has the
public
and private keys, perform the following
calculation:
Generate a one-time random secret
index, calculated using Montgomery, because the message is a symmetrical password encrypted using 256-bit sharing, such as AES using a 256-bit integer
one-time public key, as akey, and 256-bit integer is a
prefix to encrypted information. Once a party to
the public
key receives this message, it can start by calculating , that is ,
the receiver recovers the shared secret and
is able to decrypt the rest of the information.
3. Incentives
On the basis of the WarRin agreement, by adding the incentive layer, we can effectively avoid the whole network being attacked and eliminate spam. As long as honest nodes control most of the calculations, for an attacker, the network is robust because of its simplicity of structure, and nodes need little coordination to work at the same time. They do not need to be authenticated because information is not sent to a location.
3.1 WRC Certificate
WRC issued a total of 2,500,000 pieces and continued to increment according to the WoRin gain function.
3.1.1 WoRin Gain Function
3.1.2 WoRin gain function control table
| The WoRin gain function is compared to the table | ||
| Number of layers /F | Growth factor /I | WRC circulation |
| [1,50] | 0.002 | 334918.8057 |
| [51,100] | 0.002 | 780024.2108 |
| [101,150] | 0.004 | 1177129.617 |
| [151,200] | 0.006 | 1487860.923 |
| [201,250] | 0.01 | 1722637 |
| [251,300] | 0.016 | 1894309.216 |
| [301,400] | 0.03 | 2101623.789 |
| [401,500] | 0.06 | 2217555.464 |
| [501,1000] | 0.1 | 2450712.257 |
| [1001,2000] | 0.12 | 2557457.3 |
According to the Gain function, the
larger the number of layers,
the greater the growth rate, the faster each layer is filled, and the
greater the circulation.
3.2 Allocation
WarRin protocol node distribution
3.2.1 Node allocation
Set the initial price
to 0.02,the layer where the first node is located is , according to the equation of the iso-difference column, there is , so that the
node token is assigned to the piece, for the price of
the layer where the node
is located, there is a
set.
For example, the number of tiers in which the 98th node is located is Tier 13, and the price of Tier 13 is 0.214,the tokens assigned by Tier 98 are
3.2.2 Total number of address assignments
Each node occupies one address, and the total number of addresses is
4. The use
WRC is the native pass-through of the WarRin protocol, andWRC will assign to Genesis nodes according to the above allocation scheme, which together form the entire network, andWRC can be used in the following scenarios, including but not limited to:
Pay the network’s gas charges, i.e. for transferring money and invoking smart contracts;
System Staking tokens, used for node elections and token issues;
The capital is lent to the validator in exchange for the amount of the reward;
Voting rights for system proposals;
The means of payment for apps developed on WoRin Services;
WoRin Storage is a means of payment on the decentralization storage;
WoRin DNS domain name and WoRin WWW website means of payment;
WoRin Proxy agents hide the means of payment for body and IP addresses;
WoRin Proxy penetrates payment methods reviewed by local ISPs
……
5. Conclusions
Metcalfe’s Law states that thevalue of a network is equal to the square of the number of nodes within the network, and that the value of the network is directly related to the square of the number of connected users. That is ( the
value factor, the number of
users.) That is, the greater the number of users on a network, the greater the value of the entire network and each computer within that network. The WarRin protocol also follows this law, and when the number of nodes reaches a certain level, the entire network becomes more robust.
References
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Applications, Springer, 2005.
[2] V. Buterin, Ethereum: A next-generation smart contract and de- centralized
application platform, https://github.com/ethereum/wiki/wiki/White-Paper, 2013.
[3] M. Ben-Or, B. Kelmer, T. Rabin, Asynchronous secure computa- tions with
optimal resilience, in Proceedings of the thirteenth annual ACM symposium on
Principles of distributed computing, p. 183–192. ACM, 1994.
[4] M. Castro, B. Liskov, et al., Practical byzantine fault tolerance, Proceedings of the
Third Symposium on Operating Systems Design and Implementation (1999), p. 173–
186, available at http://pmg.csail.mit.edu/papers/osdi99.pdf.
[5] EOS. IO, EOS. IO technical white paper,
https://github.com/EOSIO/Documentation/blob/master/TechnicalWhitePaper.md,
2017.
[6] D. Goldschlag, M. Reed, P. Syverson, Onion Routing for Anony- mous and
Private Internet Connections, Communications of the ACM, 42, num. 2 (1999),
http://www.onion-router.net/Publications/CACM-1999.pdf.
[7] L. Lamport, R. Shostak, M. Pease, The byzantine generals problem, ACM
Transactions on Programming Languages and Systems, 4/3 (1982), p. 382–401.
[8] S. Larimer, The history of BitShares,
https://docs.bitshares.org/bitshares/history.html, 2013.
[9] M. Luby, A. Shokrollahi, et al., RaptorQ forward error correction scheme for
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[10] P. Maymounkov, D. Mazières, Kademlia: A peer-to-peer infor- mation system
based on the XOR metric, in IPTPS ’01 revised pa- pers from the First International
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http://pdos.csail.mit.edu/~petar/papers/ maymounkov-kademlia-lncs.pdf, 2002.
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Press Release
Widgets & Web Launches AI-Operated Investor Relations Websites for Public Companies at a Fixed $299 per Month
Miami, Florida, United States, October 24th, 2026, FinanceWire
Widgets & Web, the investor relations website provider trusted by more than 500 public companies, SPACs, and IPO-stage firms, today announced AI-operated investor relations websites: complete, custom IR sites designed, built and maintained through AI-driven operations, at a single fixed price of $299 per month, billed annually at $3,588. The company says its operations run entirely on AI with zero employees, an operating model it describes as a first for the investor relations website industry.
Every site includes live stock price data, automated SEC filings from EDGAR, press release feeds, investor email alerts, corporate governance pages, and presentations and events sections. Sites are built for ADA and WCAG compliance, with an accessibility widget on every page. The subscription covers design, hosting, security monitoring, and unlimited updates and support, with no setup fees, no design fees, and no per-change charges.
Every site is built, hosted, maintained and controlled on Widgets & Web’s own proprietary platform: no WordPress, PHP, third-party content management systems or plugin dependencies to maintain. The company says this removes the upkeep and plugin maintenance that come with third-party platforms.
“Public companies have spent decades paying agency retainers and five-figure design bills for websites their investors visit for one thing: accurate, current information,” said Steve Yakubov, CEO and co-founder of Widgets & Web. “We build the entire IR site, keep every feed live around the clock, and deliver it at a price any issuer can approve in one meeting.”
Widgets & Web delivers the first draft of a new IR website within 24 hours of sign-up. Each IR site runs on a dedicated subdomain managed by Widgets & Web.
About Widgets & Web
Widgets & Web is a Miami-based investor relations website provider for public companies, SPACs and IPO-stage firms. The company designs, hosts and manages IR websites on its own proprietary platform, with automated SEC filing and press release feeds, live stock data, governance pages and investor email alerts, and has served more than 500 public companies. Learn more at www.widgetsandweb.com.
Contact
CEO and co-founder
Steve Yakubov
Widgets & Web
production@ir365connect.com
786-263-9007
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Press Release
Thomas Berkley and Nexus Acquisition Group Outline AI Agency Partnership Approach in Cleveland
United States, 24th Oct 2026— Thomas Berkley, founder of Nexus Acquisition Group, is advancing a partnership-focused approach to developing and operating artificial intelligence-powered agency businesses. Based in Cleveland, Ohio, the company works with a limited number of individuals, combining business-specific assessment, infrastructure development, and ongoing operations to establish AI-powered agency businesses.
As artificial intelligence becomes increasingly integrated into business operations, entrepreneurs are exploring ways to build companies around technology-enabled services. Nexus Acquisition Group addresses this opportunity through a model that extends beyond standalone software or technology implementation, with the company working directly alongside partners throughout the development and operation of their businesses.
The company’s approach centers on three stages: assess, build, and operate. Each engagement begins with evaluating the systems required for a specific business, continues with developing the necessary infrastructure, and extends into ongoing operations alongside the partner. This framework provides a defined process for individuals interested in building an agency business around AI-powered capabilities.
Thomas Berkley Leads Nexus Acquisition Group’s Partnership Model
Thomas Berkley founded Nexus Acquisition Group with a focus on building and operating AI-powered agency businesses through direct collaboration with partners. His background includes service in the United States Air Force and experience with AI-driven business systems and agency operations.
Berkley’s involvement is a central part of the company’s model. Rather than limiting its role to an initial consultation or infrastructure setup, Nexus Acquisition Group works with partners throughout the engagement. This continued involvement connects business planning, system development, and operational execution within a single working relationship.
For entrepreneurs evaluating Nexus Acquisition Cleveland, the company’s Cleveland base and its defined partnership process provide a starting point for understanding how engagements are structured. The company works with partners across the United States, with individual arrangements determined by the requirements of each business.
Nexus Acquisition AI Agency Program Follows a Three-Stage Framework
The Nexus Acquisition AI agency program is structured around assessing business requirements, building operational infrastructure, and supporting ongoing business activity. The process is designed to account for the specific needs of each agency rather than applying an identical technical setup to every engagement.
During the assessment stage, the company evaluates the systems needed to support the proposed business. This step helps establish the operational requirements and identify the infrastructure necessary for the agency’s intended activities.
The build stage focuses on developing that infrastructure. Depending on the requirements of the business, relevant systems may include AI-driven voice and messaging tools, customer relationship management platforms, and client acquisition systems. The objective is to establish the operational foundation needed to run the agency.
The third stage involves ongoing operation. Nexus Acquisition Group continues working with the partner after the initial infrastructure has been developed, maintaining a collaborative relationship as the business operates. The scope and duration of this work depend on the individual engagement.
By connecting these stages, the company approaches agency development as an ongoing business process rather than a one-time technology installation.
A Collaborative Structure for AI Agency Development
Building an agency around artificial intelligence involves more than selecting tools. Business owners must also consider how technology fits into their workflows, how systems are maintained, and how day-to-day operations are organized. A coordinated approach can help bring these requirements into a more consistent operating framework.
Nexus Acquisition Group’s model places collaboration at the center of this process. Partners work directly with the company’s team from the initial build through ongoing operation, while the systems and engagement structure are tailored to the particular business.
This approach may be relevant to individuals exploring AI-powered agency ownership who prefer a working relationship that includes both infrastructure development and operational involvement. Rather than presenting its services solely as access to software, the company describes its role as building and operating agency businesses in partnership with a limited number of individuals.
The model also recognizes that the requirements of an agency can differ according to its business objectives and operating needs. For this reason, engagements are structured individually, with the scope, terms, and timeline defined through an agreement between the company and the partner.
Nexus Acquisition Agency Partnership Opportunities
A Nexus Acquisition agency partnership provides a framework for discussing the development and operation of an AI-powered agency business. The company’s approach brings together assessment, implementation, and continuing operational involvement, allowing the parties to establish expectations before proceeding with an engagement.
For prospective partners, understanding the structure of the relationship is an important part of evaluating an opportunity. Nexus Acquisition Group outlines its process through its website, where interested individuals can review the company’s approach, learn about its founder, and contact the team to discuss a potential engagement.
The company does not describe every partnership as having identical requirements. Instead, its process is designed to reflect the systems needed for the specific business and the responsibilities agreed upon by the parties.
As AI-enabled services continue to create new possibilities for business development, Nexus Acquisition Group remains focused on connecting technology infrastructure with practical agency operations. Led by Berkley, the company continues to build its approach around direct partner involvement and an ongoing operational relationship.
Individuals interested in learning more about the company’s model can visit Nexus Acquisition Group to review its process and inquire about potential partnership opportunities.
About Nexus Acquisition Group
Nexus Acquisition Group is a Cleveland, Ohio-based company that builds and operates AI-powered agency businesses in partnership with a limited number of individuals. Founded by Thomas Berkley, the company follows an assess, build, and operate framework, working directly with partners from initial infrastructure development through ongoing operations. Its engagements are individually structured according to business requirements, scope, terms, and timeline.
Media Contact
Organization: Nexus Acquisition Group
Contact Person: Thomas Berkley
Website: https://nexusacquisitiongroup.com/
Email: Send Email
Address: Cleveland, Ohio, United States
Country: United States
Release id: 50182
View source version on King Newswire:
Thomas Berkley and Nexus Acquisition Group Outline AI Agency Partnership Approach in Cleveland
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Press Release
Thomas Berkley of Nexus Acquisition AI Focuses on Turning Business Inquiries Into Structured Growth Opportunities
United States, 24th Oct 2026 — Thomas Berkley of Nexus Acquisition AI is bringing attention to a critical challenge facing service businesses: creating a more organized path from initial customer interest to meaningful sales opportunities. As companies navigate changing customer expectations and increasingly competitive markets, the relationship between marketing, lead management, and business development is becoming an important consideration for long-term growth.
For service providers, attracting potential customers does not always translate into new business. Inquiries can go unanswered, follow-up can become inconsistent, and opportunities can be overlooked when teams lack a clear process for managing prospective clients. These challenges have prompted growing interest in systems that connect customer acquisition activities with the operational workflows needed to support them.
Nexus Acquisition AI operates in this evolving space, focusing on the intersection of artificial intelligence, marketing, and customer acquisition. Its work reflects a broader shift toward examining how technology can help businesses establish more consistent processes for engaging prospects and managing opportunities.
Moving Beyond Lead Volume
Businesses often evaluate marketing performance through the number of inquiries or contacts generated. However, lead volume represents only one part of the customer acquisition process. The ability to respond promptly, maintain relevant communication, and manage opportunities through subsequent stages can also influence the effectiveness of a company’s marketing efforts.
For service businesses with limited administrative resources, coordinating these activities can be particularly challenging. Owners and employees frequently balance customer delivery, scheduling, sales conversations, and daily management responsibilities. Without clearly defined procedures, potential customers may encounter delays or inconsistent communication.
Through its focus on Nexus Acquisition marketing, the company addresses a business environment in which marketing performance is increasingly considered alongside the processes responsible for managing incoming opportunities.
This perspective encourages businesses to examine the complete customer journey rather than viewing advertising, outreach, and sales follow-up as separate functions. It also highlights the importance of identifying gaps between generating interest and taking the next appropriate action.
Exploring Practical Applications of Artificial Intelligence
Artificial intelligence is creating new possibilities for businesses seeking to organize repetitive tasks and improve the coordination of customer-facing processes. Depending on the tools selected and their implementation, AI-supported workflows may assist with inquiry classification, routine communications, information organization, and follow-up management.
For companies evaluating these capabilities, the central question is not simply whether AI can be introduced into an existing operation. It is whether a particular application addresses a genuine business need and fits the way the organization serves its customers.
Nexus Acquisition AI’s focus on technology-assisted growth aligns with this practical consideration. Businesses exploring automation must account for their existing systems, customer communication standards, staffing capacity, and the level of human oversight required for effective implementation.
Automation can support consistency, but it does not eliminate the need for sound business judgment. Service providers must still ensure that customer interactions remain relevant, information is handled appropriately, and important decisions receive the necessary attention.
Building More Consistent Lead Management Processes
The period between a customer’s initial inquiry and a purchasing decision can involve multiple interactions. Prospective customers may request information, compare providers, ask additional questions, or require time before deciding whether to proceed.
A structured lead management process gives businesses a framework for handling these different stages. It can establish how inquiries are recorded, who is responsible for responding, when follow-up should occur, and how the status of each opportunity is tracked.
Within this context, Nexus Acquisition lead generation relates to the broader challenge of developing a more coordinated approach to attracting and managing potential customers.
Generating new inquiries remains important, but businesses also benefit from understanding what happens after those inquiries arrive. Reviewing response times, follow-up consistency, conversion patterns, and the sources of qualified opportunities can help decision-makers identify areas for improvement.
These measures provide a more comprehensive basis for evaluating marketing activity than lead counts alone. They also allow businesses to consider operational adjustments before increasing spending on customer acquisition.
Aligning Growth Technology With Business Objectives
Every service business operates under different conditions. A company serving a local market may have different customer acquisition requirements from a provider operating across multiple cities or industries. Similarly, businesses with small teams may prioritize administrative efficiency, while larger organizations may focus on coordinating workflows across departments.
Consequently, growth technology must be evaluated against specific operational requirements rather than adopted solely because it is available.
The concept of Nexus Acquisition AI growth systems reflects the broader market interest in connecting marketing activities, customer information, and follow-up processes within a more coordinated operating framework.
A useful evaluation begins with identifying recurring problems, establishing measurable objectives, and determining which tasks may benefit from automation. Businesses can then assess whether the selected systems improve workflow consistency, reduce unnecessary manual effort, or provide clearer insight into customer acquisition performance.
This measured approach helps keep technology adoption connected to practical business priorities.
A Process-Oriented Perspective on Business Development
As artificial intelligence becomes more accessible, service businesses have additional options for reconsidering how they organize marketing and sales activities. The opportunity lies in identifying where technology can complement existing capabilities while preserving the personal communication and service quality that customers expect.
Thomas Berkley and Nexus Acquisition AI are positioned within this changing business landscape, where the discussion around growth increasingly includes not only attracting customers but also establishing processes for managing the opportunities that marketing creates.
For businesses reviewing their acquisition strategies, the emphasis on connected workflows offers a useful starting point: understand where prospects enter the process, determine what happens next, and evaluate whether each stage supports the organization’s broader objectives.
Further information about Nexus Acquisition AI and its approach to marketing and customer acquisition is available on the company’s website at https://nexusacquisitionai.com/ .
About Nexus Acquisition AI
Nexus Acquisition AI focuses on marketing, lead generation, and AI-powered growth systems for service businesses. The company operates within the business technology and customer acquisition sector, addressing the growing interest in using automation and structured workflows to support marketing operations and business development.
Learn more at https://nexusacquisitionai.com/.
Media Contact
Organization: Nexus Acquisition AI
Contact Person: Thomas Berkley
Website: https://nexusacquisitionai.com/
Email: Send Email
Country: United States
Release id: 50183
View source version on King Newswire:
Thomas Berkley of Nexus Acquisition AI Focuses on Turning Business Inquiries Into Structured Growth Opportunities
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
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