Technical Science Integrated Research
https://altumnova.com/index.php/tsir
<p>Technical Science Integrated Research (ISSN 3051-3855) is a peer-reviewed academic journal dedicated to the publication of original research, theoretical studies, and practical developments in the broad field of technical sciences. The journal seeks to bridge diverse disciplines such as engineering, applied physics, computer science, materials science, and industrial technologies by fostering an integrated approach to solving contemporary scientific and technical challenges. Emphasizing interdisciplinary collaboration and innovative methodologies, the journal provides a platform for scholars, practitioners, and industry experts to present advancements that contribute to the development of effective, sustainable, and technologically-driven solutions. With a focus on both fundamental investigations and real-world applications, Technical Science Integrated Research aims to support scientific excellence and encourage the translation of research findings into impactful technologies and systems across various sectors.</p>en-USTechnical Science Integrated Research3051-3855Quantifying the technical debt of legacy cataloging and the case for automated quality control
https://altumnova.com/index.php/tsir/article/view/91
The concept of technical debt, borrowed from software engineering, offers a powerful analytical lens through which to examine the accumulated costs of suboptimal cataloging decisions made over decades of library practice. While library literature has extensively addressed the challenges of database cleanup and retrospective conversion, these efforts have typically been framed as finite projects with clear endpoints rather than as manifestations of an ongoing liability that accrues interest over time. This article argues that legacy cataloging data constitutes a form of technical debt that imposes tangible costs on discovery, systems performance, staff productivity, and user satisfaction. Drawing upon case studies from academic and research libraries, the analysis demonstrates that traditional approaches to quality control, which rely heavily on manual review and expert judgment, are structurally inadequate to address the scale and complexity of contemporary metadata problems. The argument advances a compelling case for automated quality control as an essential component of sustainable metadata management, not as a replacement for professional expertise but as a force multiplier that enables catalogers to focus their attention on high-value interventions. Automated tools, including rule-based validation, machine learning applications, and entity resolution algorithms, offer the capacity to identify, prioritize, and remediate metadata deficiencies at a scale and speed that manual processes cannot match. The article concludes with a framework for implementing automated quality control programs that balance technological capability with professional judgment, institutional capacity with aspirational standards, and short- term remediation with long-term prevention. Ultimately, the case for automation rests not on the elimination of human expertise but on its strategic redeployment toward the most intellectually demanding and professionally rewarding aspects of metadata stewardship.Sadoqat Raimjonova
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https://creativecommons.org/licenses/by/4.0
2026-08-102026-08-102838Technical services workflows in the age of linked data
https://altumnova.com/index.php/tsir/article/view/92
The transition from MARC-based cataloging to linked data paradigms represents the most significant operational disruption to library technical services since the adoption of the computer. While the theoretical benefits of semantic web technologies are well documented in professional literature, the practical reconfiguration of daily workflows, staff competencies, and quality control mechanisms remains critically underaddressed. This article examines the tangible challenges and strategic opportunities inherent in restructuring technical services departments to function within a linked data ecosystem. Drawing upon recent pilot projects and institutional migration reports, the analysis proposes a phased framework for workflow transformation that prioritizes incremental change, cross-departmental collaboration, and the redefinition of professional roles. The argument posits that successful adaptation depends less upon the adoption of specific software platforms and more upon a fundamental cultural shift away from record-centric thinking toward data-centric stewardship. Technical services librarians must evolve from creators of discrete bibliographic surrogates into managers of interconnected data entities that participate in a global web of knowledge. The article concludes with actionable recommendations for assessing local readiness, designing iterative implementation strategies, and establishing sustainable metrics for evaluating success in this new environment. Ultimately, the linked data transition offers technical services an opportunity to reclaim a central strategic role within the broader library organization, provided that workflows are redesigned with intentionality and foresight.Dilnavozxon Iqboljon-qizi Soliyeva
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2026-08-102026-08-1028913Scientific models for seismic risk assessment and resilience enhancement of road and aerodrome infrastructure in Uzbekistan
https://altumnova.com/index.php/tsir/article/view/93
The seismic performance of transport infrastructure must be evaluated not only through structural resistance, but also through the probability of service disruption and the ability of the network to recover after an earthquake. This study develops an integrated risk- and resilience-based methodology for road and aerodrome infrastructure in Uzbekistan. The framework combines normalized seismic hazard, local ground conditions, asset vulnerability, functional criticality, failure consequences and post-event recovery in a single decision architecture. Two principal indicators are introduced: the Integrated Seismic Risk Index (ISRI) and the Transport Infrastructure Resilience Index (TIRI). Hazard explicitly incorporates peak ground acceleration, spectral demand, site amplification, liquefaction susceptibility and permanent ground deformation; vulnerability accounts for pavement, geotechnical, structural, deterioration and drainage components. A GIS workflow links the indices with asset inventories, condition surveys, traffic or airport function, alternative routes and emergency accessibility. An eight-asset synthetic demonstration, used solely to test the logic of the method, identifies a primary runway on potentially liquefiable fill and a bridge corridor on soft alluvium as the highest-priority archetypes. In a targeted intervention sensitivity test, a 20% reduction in vulnerability combined with a 25% reduction in recovery time decreases ISRI by about 5-6% while increasing TIRI by about 6-9%. The results show that resilience-oriented measures can provide substantial functional benefits even when the change in a conventional risk score is moderate. The framework is intended for calibration with field inventories, site-specific hazard data, fragility functions and post-earthquake restoration records in Uzbekistan.Inomjon Gulomovich GanievDilnavo Khamdamova
Copyright (c) 2026
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2026-08-112026-08-11281425