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SQL-Based System for Gas Storage Projects | #sciencefather #scientistaward #database #SQLServer #EnergyData

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Development of a Secure Database System for Underground Gas Storage Operations A robust database system facilitates the integration of static and dynamic data from different phases of the storage life cycle. From initial site surveys to final storage operation, data must be systematically captured, processed, and made accessible to engineers, planners, and decision-makers. With real-time monitoring and historical analysis capabilities, database systems enhance not only the safety and stability of salt cavern storage facilities but also optimize their performance and economic value. System Architecture and Platform Selection Choosing the right technological platform is critical for the database system. In this context, the SQL Server database was selected due to its capacity to handle large data volumes, advanced security mechanisms, and seamless compatibility with C# language development. While Oracle offers high-level security and data processing abilities, its complexity in managem...
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Blockchain Incentives for Peer Review | #sciencefather #database #scientistawards #OpenScience #IncentiveDesign

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Designing Blockchain-Based Incentive Systems to Address the Peer Review Crisis in Academic Publishing Introduction The peer review process is central to academic publishing, serving as a quality control mechanism that ensures scholarly integrity and the dissemination of credible research. However, in recent years, journals have faced increasing difficulty in securing willing and qualified reviewers. The workload, lack of tangible incentives, and rising academic pressures have created an imbalance between manuscript submissions and reviewer availability. This research proposes a blockchain-enabled incentive model to address these systemic issues, aiming to improve reviewer participation and streamline the peer review process through secure, transparent, and decentralized technologies. The Reviewer Crisis in Academia Several studies and journal reports have documented a sharp decline in reviewer availability. The root causes are multi-faceted: time constraints, inadequate recognition, a...
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Evolving Research on DfSB in Product Design | #sciencefather #database #scientistaward #DfSB #BibliometricAnalysis

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Design for Sustainable Behavior in Product Design: A Two-Decade Bibliometric and Content Analysis  Theoretical Foundations of Design for Sustainable Behavior Design for Sustainable Behavior (DfSB) is deeply rooted in behavior change theories drawn from psychology, particularly models such as the Theory of Planned Behavior, the Transtheoretical Model, and Fogg’s Behavior Model. These frameworks help designers understand how user decisions and habits can be influenced by altering the physical or digital environment through intentional design. By integrating these psychological principles into design strategies, DfSB aims to promote long-term sustainable habits, reduce energy consumption, and minimize environmental degradation during the product use phase. The theoretical integration of DfSB marks a shift from purely technical approaches to more human-centered strategies in sustainability. Evolution of DfSB in Product Design Since the early 2000s, DfSB has evolved from a marginal con...
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Outstanding Contribution Award | #sciencefather #ExcellenceAward #InnovationChampion #ImpactAward

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 In Recognition of Transformative Leadership and Lasting Impact Introduction The Outstanding Contribution Award celebrates individuals who have made significant and lasting impacts through their dedication, expertise, and innovative efforts. This award acknowledges those whose work transcends ordinary expectations and fosters meaningful progress within their organization or community. Criteria for Selection Recipients of this award are chosen based on their exceptional commitment, ability to inspire others, and measurable achievements that advance the goals of the organization or field. Their contributions often include problem-solving, leadership, collaboration, and a consistent demonstration of excellence. Impact Awardees have not only excelled in their roles but have also influenced peers and stakeholders positively. Their efforts lead to improvements in processes, culture, or outcomes, showcasing the value of passion and perseverance in driving success. Legacy and Inspirat...
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Scenario-Based Robust Controller Design | #sciencefather #database #scientistaward #RobustControl #TrajectoryData

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Data-Driven Control with Generalization Guarantees Across Probabilistic System Variations Introduction Modern control systems often operate in uncertain and variable environments, where the system dynamics may vary due to manufacturing tolerances, environmental changes, or load variations. Traditional robust control assumes prior knowledge of these variations and builds conservative models to account for them. However, this assumption does not hold in many real-world scenarios, especially when deploying the same controller across a fleet of similar but non-identical systems, such as drones, autonomous vehicles, or wind turbines. To address this, we present a probabilistic data-driven control approach that relies on trajectory data collected from multiple system instances rather than a nominal model. The goal is to synthesize a single controller that stabilizes all such variations with high probability. Problem Setup and Probabilistic Formulation We consider a discrete-time linear time...
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Modern Vector DBMS Overview | #sciencefather #scientistaward #database #VectorDatabase #BigData

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Next-Gen Data Management with Vectors: A Review of VDBMSs and Their Real-World Use Vector data refers to numerical representations of unstructured or semi-structured data such as images, text, audio, or video. Each vector is a point in an n-dimensional space, where each dimension corresponds to a feature or attribute of the original data object. For example, a vector representing a sentence may contain hundreds or thousands of dimensions, each capturing linguistic or semantic properties extracted by natural language processing models. Unlike traditional data formats such as rows in relational databases or documents in NoSQL systems, vector data is typically unreadable to humans and cannot be understood without interpretation through algorithms. Evolution and Role of VDBMS Vector Database Management Systems (VDBMSs) are a new generation of data management systems tailored for storing, indexing, querying, and analyzing vector data. Traditional databases fall short when handling high-dim...
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Database Evolution in Software Product Lines | #sciencefather #database #scientistawards #DataMigration #SPLEvolution

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Synchronizing Databases with Evolving Feature Configurations in Software Product Lines  Introduction Software Product Line Engineering (SPLE) enables the systematic development of software families through shared core assets and variable features. It promotes large-scale reuse and configurability, allowing organizations to tailor products for different domains or customer needs. However, as business requirements evolve, software systems derived from SPLs must adapt accordingly. While software components can often be regenerated to reflect new configurations, adapting existing, populated databases remains a significantly more intricate task. SPL-DB-Sync proposes a semi-automated approach that bridges this gap, allowing for the controlled evolution of databases based on changes in feature selections. Feature Reconfiguration and Its Impact on Databases As SPL products evolve, new features may be introduced, old ones removed, or existing ones altered. These changes can drastically af...
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