Press Release
Lumino, lightening up the world of secure multi-party computation
New digital era, new demand of security
With the advent of the era of big data, the leakage and abuse of personal privacy data are common, which not only disturbs the normal market order, but also seriously restricts the innovation and development of the digital economy. In recent years, many countries have carried out relevant legislation of digital economy and data governance, which makes the legal requirements of personal privacy data more rigorous, and the supervision system is becoming increasingly strict. The various online scenarios led by the Covid-19 not only bring convenience to our life, but also cause a lot of security demand of data protection
Therefore, the data producers, such as government agencies, operators, platforms, are constantly raising the legal standards of storage, transmission and transaction. It has brought a problem to the data owners: how can fully utilize the data resource endowment to create business profits and social value, meanwhile ensure that the data privacy is protected in accordance with supervision provisions? The real demand behind the problem is bound to give birth to new technologies. The combination of blockchain and secure multi-party computation provides a new solution for breaking the “data island”, ensuring data security and releasing data value.
Recently, as the leader in the global blockchain industry, PlatON has started a new journey in the construction of privacy computation infrastructure, launching the secure multi-party computation ceremony—— Lumino. Lumino aims to create system parameters in a decentralized way, which could help build a real community-based, open-source blockchain ecosystem and ensure the underlying security of the main network and the reliability of future digital applications.
The “chemical reaction” of blockchain and secure multi-party computation
To understand the essence of Lumino, we need to understand the blockchain and secure multi-party computation. Blockchain is a technical solution that does not rely on a third party and a network that stores, verifies, transmits and communicates through its own distributed nodes. The core problems it solves are network decentralization, data consistency and tamper-prevent. Secure multi-party computation is to solve the problem of privacy protection among a group of mutual distrusted participants. It should ensure the independence, correctness decentralization and do not disclose the data to other participants. Secure multi-party computation was firstly proposed by professor Yao Qizhi, who is a Chinese computer scientist and the winner of Turing prize. Since 2010, the development of executable general compiler makes its concept gradually well-known.
It can be seen that both blockchain and multi-party security computation are technologies dealing with data interaction between a group of participants according to specific rules. However, blockchain is mainly used to verify the correctness of the calculation, and the purpose is to achieve the consistent recognition of the results and prevent the results from being tampered with; the purpose of secure multi-party computation (MPC) is to get specific results in the case of data confidentiality, and emphasis on privacy protection in data share situation.
When secure multi-party computation encounters blockchain, the integration has become a technology trend that attracts much attention. Due to the different traits of blockchain and multi-party security computation, they are not exclusive and can complement each other. Blockchain can improve its ability of data confidentiality by using secure multi-party computation to adapt to complex environments; while secure multi-party computation can complete redundant computation with the help of blockchain to obtain verifiable and unique results.
The combination of MPC and blockchain is ultimately to meet the more complex and changeable real needs, especially for various environments of data exchange and sharing. For example, secure multi-party computation can realize key management in the blockchain wallet, and divide the management right of assets reasonably to reduce the risk of single key loss. It can also realize the cross-domain access of EHR data. Based on personal digital identity infrastructure, hospital A could apply for data access to hospital B by obtaining the patient’s authorization, which does not need directly return the patient’s medical record data. It would meet the dual goals of diagnosis needs and privacy protection.
New practice in privacy protection——PlatON & Lumino
Secure multi-party computation is essentially a solution for data security. It is consisted of cryptographic technologies such as obfuscation circuit, secret sharing, homomorphic encryption, etc. PlatON has already realized the layout in these fileds. The key to secure multi-party computation is to use zero knowledge proof to prove that there is no leakage, which is also the key to Lumino.
Most of the existing efficient zero-knowledge proof algorithms need to create system parameters in a centralized way, so the third party who creates the parameters may forge proofs to destroy the underlying security of the main network. Lumino aims to generate the system parameters of the zero-knowledge proof through secure multi-party computation. In this process, the parameters are generated by members altogether, so they will not be obtained or tampered by a single party. This also constitutes the cornerstone of the subsequent privacy protection application. Only when the activity held safely, the subsequent decentralized application will be more secure.
This ceremony is PlatON’s latest practice in the field of privacy protection, and Lumino’s goal is to link the world’s cryptographic geeks to build a global privacy computation infrastructure. In the future community-based and open-source blockchain ecosystem, every participant is an important node, and every participation will make the underlying network more secure. Therefore, this is not only an activity, but also a collective wisdom full of ritual sense. PlatON will also take this opportunity to realize the vision of building infrastructure in the digital era, and make every effort to be the best practitioner in the field of privacy security.
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
Somos Martina Launches Period Uniform Program, Integrating Period Underwear into Colombian School Uniform System
As the new school year begins, a landmark initiative is challenging the menstrual inequity that prevents many young girls from attending school regularly. Somos Martina, a Colombian leader in sustainable intimate care, has integrated period protection into the official school uniform.
Bogota, 12th Mar 2026 – Somos Martina, in collaboration with Serviceplan Innovation, has expanded The Period Uniform, a product integration model that incorporates reusable period underwear into mandatory school uniform systems in Colombia.

The model was first introduced in January 2026. It formally adds reusable period underwear to the list of required school items and operates within existing school uniform procurement structures. By using established uniform distribution systems, the model allows schools to implement the product without creating separate supply programs or additional administrative processes.
Following its initial implementation earlier this year, the model is now being introduced in additional schools.
The company is continuing rollout discussions within the existing school uniform framework.
The Period Uniform model is structured around four operational components:
- Integration into the current uniform requirements.
- Alignment with established procurement and logistics processes.
- Provision of reusable products designed for long-term use.
- Cost efficiency over time compared to single-use alternatives.
The reusable period underwear supplied by Somos Martina is designed for up to 12 hours of protection during daily school activities. Each product is washable and intended for repeated use for up to three years, depending on care and usage.
Products are supplied to participating schools at a price comparable to regular underwear.
The company states that the model is designed for continued expansion within uniform-based school systems and can operate using existing administrative procedures.
Somos Martina confirms that additional rollout steps are planned as part of its 2026 product distribution strategy.
About Somos Martina
Somos Martina is a Colombian-based company that manufactures reusable period underwear. The company develops washable alternatives to disposable menstrual products and distributes its products within the Colombian market.
About Serviceplan Innovation
About Serviceplan Innovation Serviceplan Innovation is the R&D unit of Serviceplan Group, one of the world’s leading independent communication agencies, with offices in 34 countries. It combines design, technology and innovative thinking to develop products and integrated communication. Serviceplan Innovation is a team of 13 people from 7 different countries, allowing for diverse creative perspectives.
Media Contact
Organization: Serviceplan Group SE Co KG
Contact Person: Javier Granados
Website: https://www.house-of-communication.com/
Email:
j.granadosromero@house-of-communication.com
Contact Number: +4917684075221
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City: Munich
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Country:Germany
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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
Brian Hagerty Brings Proven Service Industry Leadership and Operational Expertise to Next Chapter
South Carolina, USA, 12th March 2026, ZEX PR WIRE — Brian Hagerty, an experienced service industry leader and former district manager, is announcing his availability for new professional opportunities following a career built on operational consistency, team development, and frontline execution.
Raised in Monroe Township, New Jersey, Hagerty graduated from Monroe Township High School before continuing his education at Coastal Carolina University. During his early years, he developed a strong foundation in discipline and teamwork through competitive soccer and track. He also cultivated a lifelong interest in music, playing both guitar and piano.
Hagerty built the core of his career in the restaurant industry, most notably at Waffle House, where he advanced to District Manager. In that capacity, he oversaw multiple locations, focusing on daily operations, associate training, staffing strategy, and performance standards.
“My focus has always been simple,” Hagerty said. “Clear standards, strong training, and consistent execution. When those three are in place, teams perform better, and customers notice.”
As District Manager, Hagerty emphasized structured onboarding, repeatable systems, and in-store leadership presence. He worked directly with shift leaders and associates to ensure operational consistency across locations. His approach centered on measurable performance indicators such as labor control, shift efficiency, service speed, and customer experience.
“I believe leadership happens on the floor, not behind a desk,” he said. “You have to see operations in real time to understand what needs to improve.”
Following his management tenure, Hagerty transitioned into a professional bartending role, returning to direct customer service while applying the same operational discipline he developed in management. Known for reliability and professionalism, he maintained a focus on preparation, organization, and guest experience.
“Bartending is still operational,” Hagerty explained. “You manage timing, communication, and quality all at once. The fundamentals don’t change.”
Throughout his career, Hagerty has concentrated on service industry fundamentals: associate training, accountability, workflow efficiency, and culture development. He believes that sustainable performance depends on preparation and clarity rather than reactive management.
“Training protects the business,” he said. “If you prepare people properly from day one, you reduce long-term problems.”
In addition to his professional experience, Hagerty supported St. Jude Children’s Research Hospital during his college years, reflecting an early commitment to community engagement. Outside of work, he spends time with his children and enjoys nature, the beach, and playing music.
As he evaluates his next professional chapter, Hagerty is seeking opportunities where operational leadership, team development, and service excellence are core priorities. His background spans both multi-unit management and frontline hospitality execution, giving him perspective across organizational levels.
“The service industry moves fast,” he said. “But the fundamentals are steady. Respect people. Maintain standards. Stay consistent.”
Hagerty remains open to leadership, training, and operations-focused roles within hospitality and related service environments.
About Brian Hagerty
Brian Hagerty is a New Jersey–raised service industry professional with experience in multi-unit restaurant management and frontline hospitality operations. A graduate of Coastal Carolina University, he has built his career around team development, operational systems, and consistent service standards. His professional focus includes associate training, performance management, and maintaining structured, high-functioning environments.
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
A Mathematician’s Perspective: The MatrixFlow Model Behind Feather Exchange
In modern financial markets, mathematics has long served as the invisible framework behind stability, efficiency, and long-term growth. From options pricing to high-frequency trading algorithms, many of the world’s most successful financial systems are built upon carefully structured mathematical models. Feather Exchange is applying this same philosophy to cryptocurrency trading through a system it calls MatrixFlow.

For mathematicians analyzing financial systems, the most intriguing aspect of MatrixFlow is its attempt to bring predictability into a market historically defined by volatility. Rather than leaving price movements entirely to unpredictable swings in speculation, Feather Exchange introduces a structured framework where market progression follows clearly defined mathematical boundaries.
The foundation of the system begins with a guaranteed baseline known as the Minimum Daily Price Rise. Each trading day establishes a structural upward movement expressed mathematically as:
Pₜ = Pₜ₋₁ + 0.02
where Pₜ represents the current trading day’s base price and Pₜ₋₁ represents the previous day’s closing price. This formula creates a minimum progression of 0.02 USDT per day, ensuring that the market maintains a consistent forward trajectory over time.
Once this baseline movement is achieved, additional trading activity can push the price higher within a controlled range. The MatrixFlow system defines a daily expansion boundary using the formula:
Pmax = (Pₜ₋₁ + 0.02) × 1.01
This establishes a daily ceiling where the total market expansion cannot exceed one percent beyond the minimum daily progression. From a mathematical standpoint, this creates a bounded growth corridor that allows healthy price discovery while preventing destabilizing spikes.
Beyond price progression, Feather Exchange introduces another mathematically structured mechanism that analysts find particularly innovative: the Feather Escrow Pool. Within this system, participants are able to acquire FTR tokens at a 50 percent discount relative to the previous day’s highest traded price.
This relationship can be expressed simply as:
Escrow Purchase Price = 0.5 × Hₜ₋₁
where Hₜ₋₁ represents the highest traded market price recorded on the previous trading day.
From a financial engineering perspective, this creates a fascinating market dynamic. Traders are given an opportunity to access discounted tokens tied directly to the historical market price, while the structured release of escrow tokens ensures that supply enters circulation in a controlled and transparent manner.
When combined with the price progression framework, the system forms a feedback structure where trading activity, market price, and token distribution reinforce one another. The long-term price trajectory of the system can be approximated by the progression:
Pₙ ≈ P₀ + (0.02 × n)
where n represents the number of trading days. While the actual market price may fluctuate within its daily corridor, the structural baseline ensures continued forward movement.
For mathematicians studying market design, the significance of MatrixFlow lies in its attempt to transform cryptocurrency trading from a purely speculative environment into one governed by defined economic rules. Markets that operate entirely without structure often experience violent boom-and-bust cycles. By contrast, systems built around predictable mathematical relationships tend to encourage longer-term participation and greater ecosystem stability.
Feather Exchange appears to be applying this philosophy directly into its trading architecture. Instead of relying solely on market sentiment, the platform introduces formulas that guide how price progression, supply release, and discounted participation interact within the ecosystem.
As the exchange prepares for its upcoming 2026 Shareholder Pre-Launch Event, analysts are beginning to examine whether structured systems like MatrixFlow could represent an important step forward in digital asset exchange design.
For mathematicians observing the evolution of financial markets, the concept behind MatrixFlow raises an important possibility: that the next generation of crypto exchanges may not be defined by speculation alone, but by carefully engineered economic structures where mathematics becomes the foundation of sustainable trading.
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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