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Platon Aims To Become The Public Infrastructute Of Privacy Computing To Open Up Business Prospects For The Crypto Space

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In the Information Age, Data Becomes a New Factor of Productivity

In economics, factors of production, also known as production inputs, are essential resources for the production of goods and services. In his epochal work “Principles of Economics”, famous British economist Marshall put forward the theory of four factors of production — land, labor, capital and entrepreneurial talent. National income (NI) is the reward of four factors, and that is, national income (NI) = labor wage (w) + land rent (r) + capital interest (i) + operating profit (π). This “four-in-one formula” sums up the core of western economic production theory and distribution theory, which has been widely accepted for more than a century.

However, factors of production are a historical category that evolves with the development of economy and society. The birth and development of the Internet has changed the mode of production, life and consumption, and it promoted many important and profound changes, and played an increasingly important role in economic development, social life and national governance. The full exploitation and effective utilization of all kinds of data has raised production efficiency to an unprecedented level. Data has become an indispensable factor in economic activities and a new generation of production factors after land, energy, population and food.

Table – Production Factors at Different Stages

Privacy Brings Data Dilemma and MPC Realizes Data Collaborative Computing

Nowadays, people have already extended their social activities to the network space. Every day, people contribute data continuously to the network space. A large amount of data is collected, calculated, analyzed, excavated and this goes beyond the original data level of information value.

However, because of the plain text nature of the data, the owner loses ownership of the data once the data is granted to others for use. Therefore, to ensure the privacy protection of data, a huge amount of data managed by enterprises cannot be exchanged and co-calculated with the data held by other enterprises, which is why a large number of data cannot generate value.

The emergence of privacy computing ends this dilemma. Yao Qizhi, a member of the Chinese National Academy of Sciences, proposed secure multi-party computing (MPC) in 1982. In a nutshell, participants have to enter information to calculate an agreed function. In addition to the accuracy of the calculations, they must also protect the privacy of each participant’s input data. Specifically, there are now n participants, each of whom, xi, is aware of the xi they entered, who together calculate a pre-agreed function f (x1 ,…, xn) = y. In this way, all participants will get the final y value, but they will not be able to know the specific data entered by the other participants. Thus, with local data not aggregated and privacy not divulged, each party can still achieve a common desired result by performing the operations of the given logic.

Privacy computing opens up huge business prospects for the digital world (Crypto Space)

Bitcoin’s pioneering combination of virtual currencies and peer-to-peer payment systems open the door to decentralization. With the introduction of intelligent contract function, Ethernet has greatly improved the scalability of blockchain, and all kinds of applications can be deployed on blockchain. Because of these characteristics, early public blockchain networks such as Bitcoin and Ethernet have been developed, attracting a large number of blockchain and encryption enthusiasts in the world, and many traditional institutions have been entering the area of blockchain, exploring various possibilities of decentralization.

The combination of privacy computing and blockchain is expected to put data ownership back in the hands of data producers, meaning that vast amounts of data can be counted without affecting privacy and ownership, so that the owners can profit and data can burst out with greater value. Therefore, the blockchain project based on privacy calculation is naturally suitable for the commercial practice in the fields of financial, medical, scientific research, government affairs, and logistics and so on.

“Operator” PlatON network for blockchain data

PlatON, the representative project of the combination of privacy computing and blockchain currently, is based on the basic attribute of blockchain and is supported by privacy computing network, and provides the next generation Internet infrastructure protocol with the core characteristics of “computing interoperation”. PlatON’s vision is to become the public infrastructure for privacy computing of the next generation, publishing privacy computing algorithms through contracts, and implementing MPC protocols with data providers and computing nodes for privacy protection requirements, so as to realize cooperative computing of data. PlatON, designed to price data flows, is all about computing and data, which is the most fundamental part of future human production. PlatON can achieve large-scale application landing and commercial scenario implementation:

For example:

I. Build a wider credit collection network. The public chain that provides private computing can provide user with customizable computing logic template and multi-party access mode, and in the case that the access party’s data does not need to be collected and shared, only the credit inquiry results are output to the demander, and the original data can be encrypted and stored in the blockchain system to meet all kinds of audit needs.

II. Supply chain financial infrastructure. The public chain of private computing is based on blockchain technology and cryptography algorithm, which can provide a platform solution for supply chain finance to digitally identify, process and transfer assets. Construct a new financial financing model of supply chain in which the information of the upstream and downstream enterprises can be shared symmetrically, the credit value of the core enterprises can be transmitted, the business tickets can be split and the risk can be controlled, and provide convenient data traceability for the supervision and enhance the service efficiency of the industry as a whole.

To build the public infrastructure for the digital age, PlatON continuously optimizes technology, iterates the underlying infrastructure, and breaks through the “impossible triangle” in terms of performance. “Impossible triangle” means that it is difficult to achieve both a good “decentralization” and a good “security” of the system in a blockchain and a high “transaction processing performance” at the same time. The most well-known blockchain projects in the industry are Bitcoin, Ethernet, and EOS. At present, using native Token transfer performance test method and EOS under the same testing conditions, PlatON has achieved a comprehensive performance leader in the quasi-real environment, and will continue to focus on the data field and accelerate the construction of data market.

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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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Plugsic Delta-Zero Protocol Logs Zero Down Months Across 9-Month Live Audit

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New York, NY, USA, October 15th, 2026, FinanceWire

Plugsic Releases Nine-Month Performance Audit for “Delta-Zero” Protocol: Audit Records Zero Down Months Across Historical Beta Evaluation

Sovereign Execution platform review observes 0.018 market beta and capital preservation across three consecutive quarters of digital asset volatility.

Plugsic, a financial technology infrastructure provider, today published the independent nine-month performance audit of its proprietary “Delta-Zero” risk management protocol. Deployed across the company’s Sovereign Execution platform in January 2026, historical evaluation data from the protocol observed capital preservation, zero negative months during the evaluation window, and an annualized Sharpe ratio of 3.14 through three quarters of digital asset market volatility.

As macroeconomic uncertainty and digital asset volatility persist throughout 2026, capital preservation remains a core focus for self-directed allocators. Plugsic’s protocol addresses this by systematically targeting the pricing spread (basis) between spot and derivative instruments. By automating real-time counter-hedges millisecond-by-millisecond, the software is engineered to minimize directional price exposure while capturing basis spreads.

Addressing the “Backtest Fallacy”

Traditional quantitative tools frequently suffer from the “backtest fallacy”—algorithmic models that show strong simulated returns but face slippage, funding volatility, and liquidity friction in live environments.

“When we deployed Delta-Zero in January, our objective was to move beyond theoretical models and evaluate automated hedging in production environments,” said Matt Thompson, CFO at Plugsic. “Nine months of live evaluation data demonstrate the mechanics of the architecture. While broader digital asset markets experienced sharp intraday swings, our active users observed zero down months across the test period. Rather than speculating on market direction, Delta-Zero is engineered to capture spreads driven by structural market mechanics.”

Key Performance & Audit Highlights (Observed Period: Q1–Q3 2026):

  • Market Neutrality Profile: Delta-Zero maintained an aggregate market beta of |β| < 0.018 relative to benchmark digital asset indices during the audited period, reflecting low directional price correlation.
  • Historical Month-over-Month Consistency: Across all nine observed months, the protocol recorded positive net monthly performance after executing continuous, real-time dual-leg counter-hedges.
  • Risk-Adjusted Metrics: The platform observed an annualized Sharpe ratio of 3.14 and a Sortino ratio of 4.22 across the evaluation sample.
  • Execution Resilience: Plugsic’s millisecond-latency dark pool routing handled multiple market volatility cascades with zero forced liquidations observed across active user accounts.
  • Non-Custodial Architecture: 100% of analyzed execution volume occurred non-custodially via secure API and segregated vault rails directly on user-governed accounts, designed to mitigate counterparty commingling risks.

Fiduciary Structure and Capped Capacity

Unlike traditional fund structures that charge ongoing management fees and impose capital lockups, Plugsic’s Sovereign Execution platform utilizes a High-Water Mark framework: 0% annual management fees and T+1 liquidity access, aligning software licensing compensation with net alpha generation.

To preserve execution quality and mitigate potential spread compression from liquidity slippage, Plugsic confirmed that active deployment capacity on the Sovereign Execution platform will remain limited to a capped cohort of 150 private execution nodes.

Availability & Documentation

The complete Nine-Month Quantitative Performance Audit and technical factsheet are available at Plugsic Verified Audit. Platform access requests are processed on a rolling basis subject to node availability.

About Plugsic

Plugsic is a software technology provider engineering automated quantitative infrastructure. The company builds sovereign, non-custodial execution environments that combine machine learning models with institutional-grade risk management protocols, enabling self-directed operators to deploy automated risk-mitigated strategies.

Disclaimer

Plugsic is a software technology provider and does not provide investment, financial, legal, or tax advice, nor does it operate as an investment manager, custodian, or broker-dealer. The Sovereign Execution platform is an automation software tool for self-directed participants. Past performance is not indicative of future results.

Contact

Roger Davis
Plugsic
media@plugsicai.com

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Press Release

Lepu Seal Expands Mechanical Seal Replacement Solutions for Major Pump Applications

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Guangzhou Lepu Machinery Co., Ltd. highlights its mechanical seal replacement solutions for John Crane, Grundfos, and other pump applications, supporting industrial maintenance requirements with replacement components and application-focused product options.

China, 16th Oct 2026 – Guangzhou Lepu Machinery Co., Ltd., operating under the Lepu Seal name, is highlighting its range of mechanical seal replacement solutions for John Crane, Grundfos, and other pump applications. The company serves industrial equipment users seeking replacement sealing components for pump maintenance, equipment servicing, and ongoing operational requirements.

Mechanical seals are essential components in many pumping systems, helping control fluid leakage where rotating shafts pass through equipment housings. Their condition can affect equipment reliability, maintenance schedules, and the handling of liquids in industrial processes. Selecting a suitable replacement requires attention to the pump model, operating conditions, fluid characteristics, and installation requirements.

Lepu Seal provides mechanical seal products intended for a range of industrial applications, including replacement options associated with established pump and sealing equipment brands. Its product offerings include cartridge mechanical seals and other sealing solutions designed for different equipment configurations.

Replacement Options for John Crane and Grundfos Applications

Industrial facilities frequently need replacement components when mechanical seals experience wear, leakage, or damage during operation. Compatibility is an important consideration because sealing requirements can vary according to equipment design, shaft dimensions, pressure, temperature, and the characteristics of the pumped medium.

Lepu Seal offers replacement solutions for applications associated with John Crane and Grundfos equipment. These options are intended to help maintenance teams and equipment purchasers identify components that correspond to their specific pump requirements.

Before selecting a replacement, buyers typically need to confirm the original seal reference, relevant dimensions, operating parameters, and installation configuration. Providing accurate equipment information can help suppliers assess compatibility and identify an appropriate product option.

The availability of replacement components can also support maintenance planning by giving industrial operators additional sourcing options when servicing existing equipment. Final suitability depends on the specific pump model, process conditions, and technical specifications of the replacement seal.

Cartridge Mechanical Seals and Industrial Pump Components

Cartridge mechanical seals are commonly used in industrial pumping applications because their assembled design can simplify certain installation and maintenance procedures compared with component-by-component seal arrangements. Depending on the equipment and application, cartridge designs may help reduce installation complexity and support consistent seal positioning.

Lepu Seal lists cartridge mechanical seals among its product offerings, including the LP 891 cartridge mechanical seal for paper-making equipment. The company also lists dry gas seal products and components associated with various pump configurations.

Its product listings extend to equipment associated with progressive cavity pumps, screw pumps, and other industrial pumping systems. Examples include products referencing SEEPEX, NETZSCH, VIKING PUMP, and BORNEMANN equipment.

These listings indicate the range of pump-related components presented in the company’s catalog. Specific availability, compatibility, materials, and performance characteristics should be confirmed directly with the supplier for each application.

Supporting Industrial Maintenance and Equipment Sourcing

Replacement mechanical seals play an important role in planned maintenance and equipment servicing across industries that rely on fluid-handling systems. Maintenance teams must consider factors such as leakage control, equipment specifications, installation conditions, and the properties of the fluid being handled when evaluating replacement components.

For purchasing teams, access to product information and direct communication with suppliers can help clarify technical requirements before an order is placed. Confirming the equipment model and original component details is particularly important when sourcing alternatives for existing pump installations.

Lepu Seal provides product information through its website, where prospective customers can review available categories and submit inquiries about particular components. The company can be contacted to discuss replacement requirements for John Crane, Grundfos, and other pump applications.

Further product information is available at https://www.lepuseal.com/john-crane-mechanical-seal.html.

About Guangzhou Lepu Machinery Co., Ltd.

Guangzhou Lepu Machinery Co., Ltd. operates under the Lepu Seal name and supplies mechanical seal products and pump-related components for industrial applications. Its product range includes cartridge mechanical seals, dry gas seals, and components associated with different pumping equipment configurations. The company provides online product information and inquiry options for customers seeking details about specific sealing and replacement requirements.

Media Contact

Mr. Mark Ao
Guangzhou Lepu Machinery Co., Ltd.
Email: mark@lepuseal.com
WhatsApp: +86 18903009893
Website: https://www.lepuseal.com/john-crane-mechanical-seal.html

Source: https://www.lepuseal.com/john-crane-mechanical-seal.html

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Organization: Guangzhou Lepu Machinery Co., Ltd.

Contact Person: Mr. Mark Ao

Website: https://www.lepuseal.com/john-crane-mechanical-seal.html

Email: Send Email

Country: China

Release id: 49963

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NemoVideo Publishes Kling 4.0 Workflow Guide for Turning 30-Second AI Clips Into Finished Videos

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The guide shows creators how footage from Kling 4.0, Kuaishou’s newest video foundation model, becomes publish-ready social video with NemoVideo’s AI editing agent.

SAN JOSE, Calif., October 15, 2026 — NemoVideo , the Pro AI video editing agent for creators and marketers, today published a Kling 4.0 workflow guide as Kuaishou’s Kling AI rolls out Kling 4.0, its newest video foundation model. The guide explains how upgrades at the model layer carry through to creators’ finished videos, and how to turn Kling 4.0 clips into publish-ready content in NemoVideo.

NemoVideo Publishes Kling 4.0 Workflow Guide for Turning 30-Second AI Clips Into Finished Videos

Kling 4.0 extends single-pass generation to up to 30 seconds, double the 15-second ceiling of Kling 3.0. The model also supports up to 10 keyframes, up to 15 combined references across images, video clips and subjects, prompts of up to 8,000 tokens and output up to 4K.

How Kling 4.0 Upgrades Carry Through to the Final Video

Foundation models such as Kling 4.0 generate the raw footage. Application-layer tools such as NemoVideo turn that footage into videos creators can publish, and each model upgrade gives that layer better material to work with.

A 30-second generation gives creators more footage to cut from, so a single take can become several short edits with different openings. Keyframe and multi-reference control helps keep characters and products consistent across clips, making separate generations easier to cut into one sequence. 4K output leaves more room to reframe footage for vertical platforms such as TikTok, Instagram Reels and YouTube Shorts.

A longer, sharper clip is still raw footage. NemoVideo is built for the next step. It works with footage from Kling 4.0 or any other AI video model, including Veo and Seedance, and carries it to a finished video through a chat-based editing agent:

  • Turn a batch of generated takes into a rough cut with SmartPick, which removes weak clips and keeps the highlights
  • Plan the opening seconds with Inspiration Center, which analyzes trending videos and suggests hooks and scripts
  • Add trending caption styles in one click with Smart Caption, and voiceover and background music with SmartAudio
  • Ask Nemo Agent in plain language to reorder shots, tighten pacing or change the aspect ratio, then export a version for each platform

“Foundation models like Kling 4.0 keep raising what creators can generate,” said Jin Lee, Founder at NemoVideo. “Our job at the application layer is to make sure each of those upgrades shows up in the final cut, with the right opening, the right pace, captions and a version for every platform. The model decides what you can generate. The workflow decides what you can ship.”

Availability

The Kling 4.0 workflow guide is available now at https://www.nemovideo.com/model, alongside NemoVideo’s guides to other AI video models. Creators can start editing for free at nemovideo.com.

About NemoVideo

NemoVideo is a Pro AI video editing agent that turns ideas and footage into polished short-form videos through conversation. It handles rough cuts, hooks, captions, voiceover, music and platform formatting for creators, marketers and e-commerce sellers. Learn more at nemovideo.com.

Media Contact

May

may@nemovideo.com

Product manager

Media Contact

Organization: nemovideo

Contact Person: May

Website: https://www.nemovideo.com/

Email: Send Email

Country: United States

Release id: 49954

View source version on King Newswire:
NemoVideo Publishes Kling 4.0 Workflow Guide for Turning 30-Second AI Clips Into Finished Videos

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