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OPT-9
In another aspect, the gap gauge may include a support plate connected to a hinge and a separator and the balance indicator may include a lock-out mechanism configured to prevent rotation of one of the first plate and the second plate connected to the balance indicator. The lock-out mechanism may include a set screw having a set configuration and an unset configuration, the set screw may include threads configured to engage threads within an opening. In the set configuration, the set screw may engage the pin of the hinge such that the pin does not rotate in response to a rotational force applied to at least one of the first plate and the second plate. The engaged pin may also prevent rotation of at least one of the first plate and second plate connected to the pin. In the unset configuration, the set screw is disengaged from the pin of the hinge such that the pin rotates in response to a rotational force applied to at least one of the first plate and the second plate. In one aspect, the set screw engages the pin by biasing against a planar surface of a section of the pin, the section of the pin has a D-shaped cross-section.
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Added by DJM 2 2021
2/17/21, 12:00 AM
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E2E-TEST.001
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abstract-008
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TEST-001
An artificial intelligence system for medical diagnosis that uses machine learning algorithms to analyze medical images and provide diagnostic recommendations. The system includes a neural network trained on medical datasets, a user interface for displaying results, and a confidence scoring mechanism to assess diagnostic reliability.
abstract-001
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TEST-001
Medical diagnosis has traditionally relied on human expertise and manual analysis of medical images. However, this approach is limited by human error, fatigue, and the availability of specialized medical professionals. Recent advances in artificial intelligence and machine learning have shown promise in automating and improving medical diagnosis processes.
background-001
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TEST-001
The present invention provides an AI-powered medical diagnosis system that addresses the limitations of traditional diagnostic methods. The system uses machine learning algorithms to analyze medical images, provides real-time diagnostic recommendations, and includes confidence scoring to assess the reliability of its diagnoses.
summary-001
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TEST-002
A blockchain-based supply chain tracking system that provides end-to-end visibility and verification of products throughout their lifecycle. The system uses smart contracts for automated verification, mobile applications for real-time tracking, and blockchain technology to ensure data integrity and prevent tampering.
abstract-001
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TEST-002
Supply chain management has become increasingly complex with globalization and the need for transparency. Traditional tracking systems are vulnerable to tampering and lack real-time visibility. Blockchain technology offers a solution by providing immutable records and decentralized verification.
background-001
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TEST-002
The present invention addresses the need for transparent and verifiable supply chain tracking by leveraging blockchain technology. The system provides real-time visibility, automated verification through smart contracts, and tamper-evident records of all supply chain activities.
summary-001
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TEST-003
A quantum computing optimization algorithm specifically designed for financial modeling and portfolio optimization. The algorithm uses quantum superposition and entanglement to explore multiple optimization scenarios simultaneously, providing quantum advantage over classical optimization methods in complex financial problems.
abstract-001
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TEST-003
Financial optimization problems, such as portfolio management and risk assessment, become computationally intractable as the number of variables increases. Classical optimization methods struggle with the exponential complexity of these problems. Quantum computing offers the potential for exponential speedup through quantum parallelism and entanglement.
background-001
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TEST-003
The present invention provides a quantum optimization algorithm that addresses the computational limitations of classical financial optimization. The algorithm leverages quantum computing principles to solve complex financial problems more efficiently than traditional methods, offering significant advantages in portfolio optimization and risk management.
summary-001
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TEST-004
An Internet of Things (IoT) smart home security system that uses edge computing for local data processing and machine learning for threat detection. The system includes distributed sensors, local processing capabilities, and mobile monitoring, providing comprehensive security with reduced cloud dependency and improved response times.
abstract-001
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TEST-004
Traditional home security systems rely heavily on cloud-based processing, which can introduce latency and privacy concerns. The increasing availability of edge computing devices and IoT sensors has created opportunities for more responsive and secure home security solutions that process data locally.
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TEST-004
The present invention provides a smart home security system that addresses the limitations of cloud-dependent security solutions. By using edge computing for local processing and IoT sensors for comprehensive monitoring, the system provides faster response times, improved privacy, and more reliable security coverage.
summary-001
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E2E-TEST.001
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E2E-TEST.001
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E2E-TEST.001
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E2E-TEST.001
Dave
abstract-002
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