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        <title>Acta Universitatis Cibiniensis. Technical Series Feed</title>
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        <copyright>All rights reserved 2026, Lucian Blaga University of Sibiu</copyright>
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            <title><![CDATA[Experimental Study of the Uniaxial Tensile Test of Aluminium EN AW 5754 H22 Alloy Perforated Specimens]]></title>
            <link>https://reference-global.com/article/10.2478/aucts-2025-0001</link>
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            <pubDate>Wed, 31 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[This paper studies, through experimental studies, the uniaxial tensile test behaviour of perforated plates. Two parameters were taken into account, the diameter of the perforation and the distance between two adjacent perforations measured between the edges of the perforation. Both parameters were varied on three levels, 2.5, 3 and 4 mm for the diameter of the perforation and 2, 3 and 4 mm for the distance between two perforations. This resulted in 9 experiments, repeated 3 times. The specimens were subjected to uniaxial tensile test under static condition using Instron 5587 tensile machine and simultaneously were subjected to measurement using digital image correlation using Zeiss Corelate. The results focused on determining maximum global tensile stress on uniaxial tensile test, global strain corresponding to maximum tensile stress also for uniaxial tensile test, local major strain, local minor strain, local thickness reduction, local shear angle, local Tresca strain and local von Mises strain.]]></description>
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            <title><![CDATA[Optimization of Additive Manufacturing for Mass Production through Standardized Modularity Strategy for High-Volume FDM]]></title>
            <link>https://reference-global.com/article/10.2478/aucts-2025-0002</link>
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            <pubDate>Wed, 31 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[This paper addresses the emerging industrial need to optimize production chains and reduce lead times using Additive Manufacturing (AM). While AM is empirically associated with higher production times and costs compared to traditional Injection Molding (IM), this study proposes a flexible production strategy utilizing “Standardized Modularity.” By discretizing a geometric part into functional modules—specifically a non-critical “Base” and a high-precision “Top” module—production parameters are optimized for each section. A comparative economic analysis between Fused Deposition Modeling (FDM) and Injection Molding was conducted for batch sizes ranging from 10,000 to 100,000 units. The study experimentally validates the modular approach using an UP! PLUS 2 printer and ABS material, testing various interlocking tongue-and-groove patterns. Results indicate that FDM remains cost-competitive with IM for series up to 15,000 units. Furthermore, the modular division strategy achieved a production cost reduction of approximately 13% compared to single-iteration printing, while mechanical testing confirmed that optimized modular interfaces retain up to 94% of the monolithic part’s tensile strength.]]></description>
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            <title><![CDATA[Enhanced Spatial Visualization of Internal Features through a Sectioned, 3D-Printed Instructional Model]]></title>
            <link>https://reference-global.com/article/10.2478/aucts-2025-0003</link>
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            <pubDate>Wed, 31 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[Orthographic projection remains a foundational, yet challenging, concept for students in technical drawing and engineering graphics, often hindered by the difficulty of translating a 3D object’s internal features into distinct 2D views. This paper presents the design, fabrication, and pedagogical application of a novel, sectioned, 3D-printed instructional model created to bridge this spatial visualization gap, with a specific focus on clarifying sectional views. The model is a complex geometric part that is physically sliced along a predetermined cutting plane. A key innovative feature is the highlighting of the resulting cut surface, providing a simultaneous, tangible, and unambiguous link between the abstract cutting plane and the exposed material. Using additive manufacturing (3D printing) allowed for rapid iteration and clear visual distinction between components. Initial observations suggest this hands-on tool significantly improves students’ comprehension of sectioned views, the concept of the cutting plane, and the representation of hidden lines. The model serves as an effective pedagogical aid, offering a superior alternative to purely virtual or static drawing-based instruction, and is a valuable contribution to engineering graphics education methodology.]]></description>
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        <item>
            <title><![CDATA[Performance Paradox: High Maintenance Expectations Versus Low Technological Investment in Industrial Enterprises]]></title>
            <link>https://reference-global.com/article/10.2478/aucts-2025-0004</link>
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            <pubDate>Wed, 31 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[This study investigates the current state of maintenance practices, performance evaluation methodologies, and the adoption of digital management systems within industrial organizations in Sibiu County, Romania. The primary objective was to empirically quantify the gap between the perceived strategic importance of maintenance and the practical maturity of its implementation. A quantitative, non-experimental survey design was utilized. Data was collected from a convenience sample of 104 professionals across various industrial sectors, with a significant representation from the automotive industry. The survey instrument assessed organizational demographics, maintenance strategy prevalence (Corrective, Preventive, Predictive), perceived impact on productivity and quality, and the use of specialized management software (CMMS/ERP). Data analysis employed descriptive statistics and cross-tabulations. Results confirmed the high strategic value of maintenance, with over 70% of respondents reporting a strong influence on product quality and productivity. However, the study revealed a significant technological disparity: while Preventive Maintenance (44.2%) was the most common strategy, a substantial portion of organizations (34.6%) reported operating without any specialized CMMS or ERP system for maintenance management. Furthermore, the adoption of advanced Predictive Maintenance was minimal. A critical gap exists between the recognized strategic role of maintenance and the operational maturity of the sector. The lack of integrated digital infrastructure hinders the adoption of advanced, data-driven strategies and limits the ability to accurately measure and benchmark performance through holistic KPIs. Bridging this gap requires strategic investment in both digital systems and specialized personnel training to transition the sector toward truly predictive and efficient maintenance models.]]></description>
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            <title><![CDATA[Optimizing 3D Laser Scanning Parameters for Geometric Primitive Identification using the Taguchi Method]]></title>
            <link>https://reference-global.com/article/10.2478/aucts-2025-0005</link>
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            <pubDate>Wed, 31 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[As 3D scanning technology becomes integral to reverse engineering and quality control, the ability to accurately identify geometric primitives—such as planes, cylinders, and spheres—from point clouds is critical. This study investigates the influence of environmental and process parameters on the dimensional accuracy of 3D scanned mechanical parts. Using the Taguchi L9 orthogonal array method, nine experimental configurations were tested to evaluate the impact of three key factors: lighting conditions (Natural, Neon, LED), surface preparation (original, white matte, and white matte with markers), and scanning brightness parameters (10%, 40%, 80%). A mechanical test plate containing varied geometric features was scanned using a handheld laser scanner (Artec Leo), and the resulting models were processed to extract geometric primitives for comparison against nominal CAD dimensions. The statistical analysis, including Signal-to-Noise (S/N) ratios and Analysis of Means, revealed that surface preparation is the most statistically significant factor influencing both the geometric accuracy and the efficiency of the data file size. The results demonstrate that treating the object surface with a matte coating and reference markers drastically reduces noise and improves the precision of primitive identification, significantly outweighing the effects of ambient lighting or software scanning parameters. These findings provide a practical framework for optimizing 3D scanning workflows in industrial metrology.]]></description>
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            <title><![CDATA[The Impact of Artificial Intelligence in the Teaching of Mechanics]]></title>
            <link>https://reference-global.com/article/10.2478/aucts-2025-0006</link>
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            <pubDate>Wed, 31 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[The emergence of the idea of using artificial intelligence in everyday life has led to the development of AI assistants in various fields of activity. Thus, in November 2022, ChatGPT was launched, and the following years brought attention to other assistants as well. Some assistants have already reached the 5th version.The paper aims to analyze how AI can be used in teaching the subject of Mechanics at the university level. The paper presents the results obtained with three AI assistants. The example was made for calculating the centers of gravity in the case of homogeneous flat plates.]]></description>
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        <item>
            <title><![CDATA[A New Method of Choosing Gear Wheel Materials]]></title>
            <link>https://reference-global.com/article/10.2478/aucts-2025-0007</link>
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            <pubDate>Wed, 31 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[This thesis paper presents a rational method of choosing pinion and driven wheel material, based on the principle of choosing the cheapest material on condition that it meets all basic technical requirements imposed.]]></description>
            <category>ARTICLE</category>
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        <item>
            <title><![CDATA[The Hidden Factory: Quantifying Informational Waste and Operational Capacity Loss in Manufacturing]]></title>
            <link>https://reference-global.com/article/10.2478/aucts-2025-0008</link>
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            <pubDate>Wed, 31 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[Operational efficiency is critical for sustained competitive advantage in the global manufacturing sector. However, organizational performance is often undermined by the “Hidden Factory” (HF)—an ensemble of non-productive activities that consume resources without generating value. This research empirically investigates the nature and manifestation of the HF within organizational processes, drawing on Lean and Total Quality Management (TQM) principles. A quantitative survey methodology was employed on a stratified sample of employees from diverse industries in Romania. The study sought to quantify loss identification, conceptual awareness, and barriers to improvement. Key findings reveal a substantial organizational disconnect: while formal awareness of the HF concept is low (18–24% of respondents), operational recognition of non-value-added processes is exceptionally high (72%). The dominant losses are organizational and informational, specifically manual processes (44%) and defective communication (42%), indicating a critical need for digital transformation. The primary barrier to improvement is the lack of dedicated managerial support and resource allocation. This study provides empirical data from an emerging European economy, highlighting a shift in organizational waste from physical defects to systemic informational friction. Mitigating the HF—estimated to consume 20–40% of operational capacity—requires strategic leadership commitment to digitalization, process standardization, and Lean Six Sigma methodologies.]]></description>
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        <item>
            <title><![CDATA[The Calculus Method for Cogging from the Condition of Teeth Bending Strain]]></title>
            <link>https://reference-global.com/article/10.2478/aucts-2025-0009</link>
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            <pubDate>Wed, 31 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[The paper presents a new toothing calculation procedure in the condition of the teeth bending deflections. Accepting the same hypothesis as in the case of the calculation at the tooth base bending, the method allows the toothing dimensioning by determining the distance between the axes, the module, or the checking, dependent on a maximum admissible arrow. Through the virtual or equivalent gear, the method can be extended to bevel or spur inclined gearings.]]></description>
            <category>ARTICLE</category>
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        <item>
            <title><![CDATA[Integrated Safety Architecture for Collaborative Robotics using a UR3 Robot, Sick S3000 Scanner and Siemens S7-1200 PLC]]></title>
            <link>https://reference-global.com/article/10.2478/aucts-2025-0010</link>
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            <pubDate>Wed, 31 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[This article presents a detailed collaborative robotic architecture that integrates a UR3 robot, a Sick S3000 laser safety scanner and a Siemens S7-1200 PLC into a unified mechatronic cell designed for safe human-robot interaction. The scanner was configured with a three-field safety structure-warning, protective stop and emergency stop-allowing the robot to dynamically adjust its behavior based on the operator’s proximity. The PLC supervises a pneumatic assembly module and performs deterministic synchronization with the robot using a digital handshake signal. Mechanical supports and integration components were designed in Catia V5 to ensure structural coherence and accessibility of the equipment. Experimental validation demonstrates stable performance, predictable safety responses and smooth coordination between robotic and pneumatic processes. The proposed system provides an effective example of how industrial components can be integrated into a compact collaborative workstation suitable for both educational and industrial settings.]]></description>
            <category>ARTICLE</category>
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        <item>
            <title><![CDATA[Automation of Axisymmetric Crimping Simulations for Pneumatic Suspension Components using Python in Abaqus/CAE]]></title>
            <link>https://reference-global.com/article/10.2478/aucts-2025-0011</link>
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            <pubDate>Wed, 31 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[The paper presents the development of an axisymmetric numerical model for simulating the crimping process of pneumatic suspension components and the implementation of a Python script integrated into the Abaqus/CAE environment. Automation through the Abaqus Scripting Interface (ASI) significantly reduces preprocessing time and eliminates repetitive manual operations. The axisymmetric model describes the deformable behavior of metallic and elastomeric components, using CAX4R and CAX4H elements to ensure numerical stability and result accuracy. The script automatically generates geometry, material properties, contact definitions, boundary conditions, and analysis steps based on data provided in a parameterized Excel file. The proposed solution ensures consistency between simulations, allows rapid execution of parametric studies, and facilitates integration into industrial design workflows. The results demonstrate the efficiency of Python scripting in automating FEA-based analyses for complex industrial applications.]]></description>
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        <item>
            <title><![CDATA[Finite Element Analysis of Thin Sheet Metal Bending Process]]></title>
            <link>https://reference-global.com/article/10.2478/aucts-2025-0012</link>
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            <pubDate>Wed, 31 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[The paper presents the numerical analysis of the bending process of thin DC01 steel sheets using the finite element method implemented in the ABAQUS/CAE software. The developed three-dimensional model included the definition of the material’s elastic and plastic properties, frictional contact conditions, and geometric nonlinearity effects. The distributions of principal, secondary, and directional strains (εₓ, εᵧ) were analyzed, highlighting the critical regions in the contact area with the punch. The maximum strain values, in the range of 1.3–1.6 mm/mm, indicate severe plastic deformation regimes typical of intensive bending processes. The results confirm the ability of the finite element method to reproduce the real material behavior and provide a solid basis for optimizing technological parameters. The study demonstrates the usefulness of numerical simulation as an essential stage in computer-aided design of sheet metal forming processes.]]></description>
            <category>ARTICLE</category>
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        <item>
            <title><![CDATA[Improving the Performance of the Lohn Manufacturing Process: Applied Study in the Leather Goods Industry]]></title>
            <link>https://reference-global.com/article/10.2478/aucts-2025-0013</link>
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            <pubDate>Wed, 31 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[The paper presents an applied study on the optimization of the production process within a company in the leather industry organized in the Lohn system. The research aims to identify the main losses in the technological flow, with a focus on the leather cutting operation, considered the main source of non-conformities, additional times and high operational costs. The methodology used includes process analysis through Value Stream Mapping (VSM), equipment performance evaluation through the OEE indicator, cause-effect analysis for the prioritization of critical factors. The results highlight a reduced utilization of production capacity, high waiting and transfer times, as well as an overall equipment efficiency of 75%, below the level considered optimal in the industry. The proposed solution, the implementation of an automated cutting machine, led to a reduction in total production time by 27.7%, an increase in OEE to over 85%, and a uniform production flow. The study confirms the efficiency of applying Lean Manufacturing principles in an industrial environment specific to Lohn production and highlights the significant impact of automation on operational performance.]]></description>
            <category>ARTICLE</category>
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        <item>
            <title><![CDATA[Study on the Ergonomic Improvement of an Office Chair]]></title>
            <link>https://reference-global.com/article/10.2478/aucts-2025-0014</link>
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            <pubDate>Wed, 31 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[The purpose of this paper is to present a study on optimizing a chair designed for office activities, focusing on improving its design and functionality. The need for this study arose from the desire to ensure adequate ergonomic conditions for students conducting laboratory work within the faculty, as well as for users purchasing chairs for personal use. The paper includes a market study that served as the foundation for the analysis, design, and optimization of the chair, providing relevant information about user preferences and needs. The first part of the paper concludes with the findings of the market study, which led to the approach taken in addressing this issue.]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Comparative Analyses between Different Classification Options, and Between their Technical-Economic Indicators]]></title>
            <link>https://reference-global.com/article/10.2478/aucts-2025-0015</link>
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            <pubDate>Wed, 31 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[The content of this paper presents a comparative analysis between different classification options, as well as between their technical-economic indicators, for the men’s jacket intended for the 20–29 age group, represented both in tables and graphically.]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Analysis of the Main Statistical Parameters Characterizing Anthropometric Sizes]]></title>
            <link>https://reference-global.com/article/10.2478/aucts-2024-0006</link>
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            <pubDate>Tue, 31 Dec 2024 00:00:00 GMT</pubDate>
            <description><![CDATA[The present paper shows an analysis of the main statistical parameters used to characterize selected anthropometric measurements, aimed at creating a database representative of a sample of 150 men, aged 20-29 years.]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Patient-Specific Pneumatic Actuated Wrist Exoskeleton for Industrial Repetitive Operations]]></title>
            <link>https://reference-global.com/article/10.2478/aucts-2024-0001</link>
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            <pubDate>Tue, 31 Dec 2024 00:00:00 GMT</pubDate>
            <description><![CDATA[This research highlights the significant impact of robotic exoskeletons on improving industrial operations through the prevention of repetitive strain injuries and increased productivity. Utilizing 3D scanning technology enabled customization of the exoskeleton to fit individual users' an-atomical specifications precisely, enhancing comfort and functionality. The iterative design pro-cess was crucial in refining the exoskeleton, addressing issues like structural weaknesses and sizing problems, leading to the development of prototypes with improved features. Advanced sensors, including flexible capacitive pressure sensors and tactile arrays, allowed for real-time monitoring of user interactions, ensuring optimal pressure distribution and preventing discom-fort. The transition to active support with artificial muscles marks a milestone in wearable robotics development for industrial use, enhancing task efficiency while reducing physical strain on workers. Future research should focus on further optimizing the exoskeleton's design for enhanced comfort and functionality, including refining artificial muscle dimensions and materials, and integrating more advanced control systems for improved adaptability.]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Automatic Hemangioma Detection Algorithm Using a Cascade of K-Means and Active Contour Model]]></title>
            <link>https://reference-global.com/article/10.2478/aucts-2024-0002</link>
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            <pubDate>Tue, 31 Dec 2024 00:00:00 GMT</pubDate>
            <description><![CDATA[Although mostly harmless, hemangiomas still need to be monitored and occasionally treated to avoid complications. The method presented for accurately segmenting the hemangioma pixels involves the automatic detection of the number of classes in an initial k-means clustering, followed by binarization, morphological operations and a further adjustment of region of interest using active contours. The method has been tested on a database containing a variety of situations, including multiple hemangioma areas, differently colored and textured skin and intrusive hair. Compared to the results before the addition of active contours, the mean global score shows an improvement of more than 1% (from 96.86% to 97.92%).]]></description>
            <category>ARTICLE</category>
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        <item>
            <title><![CDATA[Influence of 3D-Printing Strategies on the Compressibility of TPU 85A Elastomeric Material]]></title>
            <link>https://reference-global.com/article/10.2478/aucts-2024-0004</link>
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            <pubDate>Tue, 31 Dec 2024 00:00:00 GMT</pubDate>
            <description><![CDATA[The aim of the present work is to analyze by experimental methods the influence of printing strategies on the mechanical behavior of TPU 85A elastomeric material under compressive stress. We analyzed 3D printed specimens which were realized with three different printing strategies (circular, lines and zig-zag), the rest of the printing parameters remaining unchanged. The 3D printing was carried out using an Ultimaker 3 3D printer and the experimental tests were performed on a Galdabini Quasar 25 uniaxial testing machine with specimens of size 10x10 mm according to ISO 604:2002. The results of the experimental tests show that the specimens with the circular printing strategy obtained the lowest values of elastic deformation, and the compressive strength reached the highest value of the three analyzed variants. These experimental results can contribute to the development and improvement of the characteristics of actuators or soft robots realized by 3D printing technology.]]></description>
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            <title><![CDATA[Evaluating the Flexural Properties of Polyoxymethylene Under Aggressive Environmental Conditions]]></title>
            <link>https://reference-global.com/article/10.2478/aucts-2024-0005</link>
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            <pubDate>Tue, 31 Dec 2024 00:00:00 GMT</pubDate>
            <description><![CDATA[This study evaluates the four-point flexural behavior of polyoxymethylene (POM) specimens exposed to different environmental conditions. Ten specimens were tested, for each of which five different mediums were studied: ambient environment, distilled water, cooling oil, UV-C radiation, and saline solution. The main objective was to find the influence of these environments on maximum bending stress and compare the values obtained for all four aggressive mediums to the value for the ambient environment. The results showed that exposure to the three liquid media-distilled water, cooling oil, and salt solution-leads to a reduction in bending stress, underscoring the potential weakening effects of these media. In contrast, samples exposed to UV-C showed an increase in bending stress, suggesting an increase in material stiffness under these conditions. This study provides guidelines for the optimal use of POM in various applications and provides clear information on its mechanical performance in various industrial and environmental environments.]]></description>
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