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                <text>Electronic structure and intrinsic dielectric polarization of defect-engineered rutile TiO2</text>
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                <text>Experimental realization of colossal permittivity associated with intrinsic dielectric polarization of defect-engineered (Nb, In) co-doped rutile TiO2 appears to be most suitable for microelectronics and solid-state device applications. Combining resonant photoemission spectroscopy, X-ray absorption spectroscopy, and density functional theory calculations, we here present a coherent understanding of electronic structure, in-gap defect states, doped electron localization, and their connection with macroscopic polarization for various doping configurations. Most often, conventional sample preparation conditions introduce in-gap states of Ti3+? character, limiting the maximum achievable intrinsic polarization value. Our understanding provides a pathway to enhance intrinsic polarization and minimize dielectric loss through suitable defect-engineering.   The Royal Society of Chemistry.</text>
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                <text>Mandal S.; Ska T.; Menon K.S.R.</text>
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                <text>Journal of Materials Chemistry C, Vol-9, No. 2, pp. 595-599.</text>
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                <text>Mandal S., Physics and Electronics Department, CHRIST (Deemed to Be University), Bangalore, 560029, India; Ska T., Charles University, Faculty of Mathematics and Physics v, Holeovi?kh 2, Prague 8, 18000, Czech Republic; Menon K.S.R., Surface Physics and Material Science Division, Saha Institute of Nuclear Physics, Kolkata, 700064, India</text>
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                <text>Echo mapping of active galactic nuclei</text>
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                <text>Active galactic nuclei (AGN) are the persistent high luminosity sources powered by accretion of matter onto super massive black holes (SMBHs) at their centres. They are known to show flux variation and this property can be used as an effective tool to map the extent of the broad line region (BLR) and the dusty torus that surrounds the central SMBH. Though the mass of the SMBH (MBH) can be directly measured using the dynamics&#13;
of stars that are close to the SMBH, this method is limited to objects in the low redshift Universe (z &lt; 0.1). On the other hand, the technique of reverberation mapping (RM) can provide MBH estimate over a range of redshifts. RM is based on the light travel time delayed response of the line emitting gas as well as the re-processed torus emission to changes in the continuum emission from the accretion disk. As of now, MBH measure�ments are available for more than 100 sources based on RM. The obtained&#13;
BLR sizes (RBLR) are found to be correlated with the optical luminosity (L5100) at wavelength 5100 Å. This relationship is obtained based on mea�surements of AGN available over a limited range of luminosity. Moreover, many of these measurements also have larger error bars. Therefore, there&#13;
is an urgent need to increase RM measurements with small errors on more AGN covering a wide range of redshifts to better constrain the RBLR − L5100 relation.</text>
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                <text>Echo mapping of active galacticn nuclei  </text>
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                <text>Active galactic nuclei (AGN) are the persistent high luminosity sources powered by accretion of matter onto super massive black holes (SMBHs) at their centres. They are known to show flux variation and this property can be used as an effective tool to map the extent of the broad line region (BLR) and the dusty torus that surrounds the central SMBH. Though the mass of the SMBH (MBH) can be directly measured using the dynamics of stars that are close to the SMBH, this method is limited to objects in the low redshift Universe (z &amp;lt; 0.1). On the other hand, the technique of reverberation mapping (RM) can provide MBH estimate over a range of redshifts. RM is based on the light travel time delayed response of the line emitting gas as well as the re-processed torus emission to changes in the continuum emission from the accretion disk. As of now, MBH measure-ments are available for more than 100 sources based on RM. The obtained BLR sizes (RBLR) are found to be correlated with the optical luminosity (L5100) at wavelength 5100  This relationship is obtained based on mea-surements of AGN available over a limited range of luminosity. Moreover, many of these measurements also have larger error bars. Therefore, there is an urgent need to increase RM measurements with small errors on more AGN covering a wide range of redshifts to better constrain the RBLR ? L5100 relation. We have carried out photometric reverberation observa- tions on the AGN Mrk 590. Using both broad band (that overlaps with the continuum) and narrow band (that overlaps with the H? emission line)  observations, we found the BLR size to be 21.44+1.49 ?2.11 days, which is equiv- alent to 0.018+0.001 ?0.002 pc. Using this measured BLR size and the full width at half maximum of the H? line measured from the newly acquired Subaru spectrum we found a black hole mass of 1.96+0.15 ?0.21 108 M , using virial relationship and adopting a scale factor of 1.12.  Similar to BLR reverberation mapping, the extent of the dusty torus in AGN can also be measured using dust reverberation mapping (DRM) based on the delayed response of the near infrared (NIR) flux from the torus to the ionizing UV/optical continuum coming from the accretion disk. From these observations too, a strong correlation is known to exist between the torus size (Rdust) and the optical luminosity (LV). Based on the Rdust ?LV relation, it is also possible to use AGN as standard candle to con-
strain the Hubble constant (H0) and other cosmological parameters. But for that, a large number of DRM observations are needed at different red- shifts. As of today, very few NIR interferometric observations are avail-able, but measurements of the torus size via such direct imaging observa-tions are again limited to very near and bright AGN. Moreover, there is a large discrepancy in the size of the torus obtained via the direct imaging method through interferometry and that obtained from DRM. From long term monitoring in the optical and infra-red, we found the inner edge of the dust torus in H0507+164 and Z229?15 to lie at a distance of 0.029+0.010 ?0.008 pc and 0.017+0.005 ?0.005 pc, respectively, from the central optical continuum source. These two new measurements are also found to lie closely on the known Rdust ? LV relation line. Also, by modeling the available BLR RM data
in the literature, it is possible to constrain the size, structure and kinemat-ics of the BLR using Bayesian approach. This approach is adopted several times to study the BLR morphology by different ways but is not applied to a large number of sources in an homogeneous manner. From an analysis of the RM data for a total of 57 sources following a Bayesian approach, we could constrain the structure of the BLR in them as well as derive other properties of BLR.</text>
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                <text>Mandal, Amit Kumar.</text>
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                <text>Christ(Deemed to be University)</text>
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                <text>Mathew, Blesson and Stalin, C S</text>
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                <text>&lt;a href="http://hdl.handle.net/10603/376199" target="_blank" rel="noreferrer noopener"&gt;http://hdl.handle.net/10603/376199&lt;/a&gt;</text>
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                <text>An Integrated Reinforcement DQNN Algorithm to Detect Crime Anomaly Objects in Smart Cities</text>
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                <text>Advanced Encryption Standard (AES); anomaly detection; crime rate prediction; HybridFly; RCNN; reinforcement; security attacks</text>
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                <text>In olden days it is difficult to identify the unsusceptible forces happening in the society but with the advancement of smart devices, government has started constructing smart cities with the help of IoT devices, to capture the susceptible events happening in and around the surroundings to reduce the crime rate. But, unfortunately hackers or criminals are accessing these devices to protect themselves by remotely stopping these devices. So, the society need strong security environment, this can be achieved with the usage of reinforcement algorithms, which can detect the anomaly activities. The main reason for choosing the reinforcement algorithms is it efficiently handles a sequence of decisions based on the input captured from the videos. In the proposed system, the major objective is defined as minimum identification time from each frame by defining if then decision rules. It is a sort of autonomous system, where the system tries to learn from the penalties posed on it during the training phase. The proposed system has obtained an accuracy of 98.34% and the time to encrypt the attributes is also less.  2021. All Rights Reserved.</text>
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                <text>Mandala D.J.; Akhila P.; Reddy V.S.</text>
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                <text>International Journal of Advanced Computer Science and Applications, Vol-12, No. 12, pp. 348-352.</text>
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                <text>&lt;a href="https://doi.org/10.14569/IJACSA.2021.0121246" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.14569/IJACSA.2021.0121246&lt;/a&gt;
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                <text>Aggression is one of the significant types of feeling and emotion, which is exceptionally fundamental for sports execution. It is ordinarily propelled conduct at any rate for that specific purpose of time in the genuine play, which drives a player brimming with his energies towards his point. 150 School National Handball female players aged 14-17 years who were concentrated in higher optional schools of Andhra Pradesh Rural and Urban were haphazardly chosen as subjects. An aggression scale is used to contemplate the degree of aggression in any age gathering (over 14 years). The scale comprises 55 articulations. It is a Likert type 5-guide scale toward locating the aggressive conduct among Handball players. The premise of the discoveries is that the shooters have phenomenal aggression conduct than the all-rounders and defenders and shooters have more physical fitness than the all-rounders and defenders. In the examination, the Shooter would have a more aggressive inclination and physical fitness when contrasted with all-rounders and defenders. It is very different on the grounds that the Shooter alone for example independently will confront the adversary gathering of players because of body contact and the battle for greatness will lead the shooter to more aggressive than others.  2022 by authors, all rights reserved.</text>
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                <text>ISSN: 23814381</text>
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                <text>The primary motivation behind this exploration study targets introducing a portion of the CRM ideas and components, CRM procedure to take proactive measures towards the customer to Health supplier to improve patients' satisfaction, loyalty fabricates a decent connection with patients and increment income. Patients' consideration, needs, and making associations with patients is an everyday schedule action in a well-being supplier. CRM is fundamental in this foundation customer satisfaction, the customer saw worth and customer relationship the board upgrade the relationship of the customer with the support up the general execution of the Hospital. The exploration configuration depends on quantitative examination, hence the information was gathered through an organized poll, five Likert-scales, SPSS, relapse, and SEM Model were utilized to figure out the results. This audits and distinguishes fundamental service quality, framework, the executives, and correspondence is identified with patients' satisfaction and loyalty in the private clinics in Andhra Pradesh. This investigation features the degree of service quality of the clinic services chosen by the test respondents.. This paper is an endeavour to discover connections between patients' views of customers' satisfaction and customers' loyalty and to propose ideas to have better CRM rehearses.  2021 by authors, all rights reserved. Authors agree that this article remains permanently open access under the terms of the Creative Commons Attribution License 4.0 International License</text>
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                <text>The ecological and economic risk assessment system and its cost were also factored into the document. The distribution of workplace challenges and hazards, represented by quantitative or subjective occupational risk metrics, was typical in the areas of building safety and environmentally responsible workers. Environmental risk assessment refers to the identification &amp;amp; evaluation of risks, the formulation &amp;amp; application of managerial decisions to lessen the chance of unfortunate conditions, and also the substantial decrease of materials or other damages. Risk assessment facilitates the transition from an area of uncertainty to one where outcomes are more or less expected. The Deming-Shewhart cycle, which would be fully linked to the policy process and performance measurement system, appears to be the implementation technique of the ecological and economic structure under consideration. It would be a cyclical sequence of the associated effective measures. A high degree of adaptability to any internally or externally stressful conditions would be ensured by the synthesis of the fundamentals of the management system &amp;amp; mechanisms for controlling environmental potential costs. This also guarantees the rapid identification of expert hazards, optimization and efficiency gains.  2022 IEEE.</text>
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                <text>Mandala G.N., Department of Finance, SVKM's Narsee Monjee Institute of Management Studies, Bengaluru, India; Kumar Verma S., IIMT College of Engineering, Uttar Pradesh, India; Rajagopal N.K., Business Studies, University of Technology and Applied Science, Salalah, Oman; Saranya S., Department of ECE, Panimalar Institute of Technology, Chennai, India; Verma D., School of Business and Management, Christ University, Bengaluru, India; Samatha B., Department of CSE, Vignans Foundation for Science, Technology and Research, Guntur, India</text>
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                <text>From Waste to Strength: Unveiling the Mechanical Properties of Peanut-Shell-Based Polymer Composites</text>
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                <text>biodegradability; biomass; mechanical properties; peanut shell; polymer composites; surface modification; sustainability</text>
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                <text>Peanut-shell-based polymer composites have gained significant attention as sustainable and cost-effective materials with potential applications as food packaging films, ceiling tiles, insulation panels, supercapacitors, and electrodes in various industries like the packaging industry, construction, furniture, and electronics. This review article presents a systematic roadmap of the mechanical properties of peanut-shell-based polymer composites, analyzing the influence of factors such as filler content, surface modification techniques, interfacial adhesion, and processing methods. Through an extensive literature review, we highlight the mechanical properties of peanut-shell-based polymer composites. Furthermore, challenges and ongoing research efforts in this field are discussed. This comprehensive review provides valuable insights for researchers, industry professionals, and policymakers, promoting the development and utilization of peanut-shell-based polymer composites for various applications.  2023 by the authors.</text>
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                <text>Mandala R.; Hegde G.; Kodali D.; Kode V.R.</text>
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                <text>Journal of Composites Science, Vol-7, No. 8</text>
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                <text>All Open Access; Gold Open Access</text>
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                <text>ISSN: 2504477X</text>
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                <text>Mandala R., Department of Mechanical Engineering, Vignan Institute of Technology &amp;amp; Science, Deshmukhi, Telangana, Hyderabad, 508284, India; Hegde G., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India, Centre for Advanced Research and Development, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Kodali D., Department of Mechanical Engineering, Christian Brothers University, Memphis, 38104, TN, United States; Kode V.R., Department of Chemical and Biochemical Engineering, Christian Brothers University, Memphis, 38104, TN, United States</text>
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                <text>An optimized back propagation neural network for automated evaluation of health condition using sensor data</text>
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                <text>Condition monitoring; Fault prediction; Fish swarm algorithm; Health status assessment; Machine learning; Optimized back propagation neural network</text>
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                <text>Ships and other large equipment must meet strict standards for equipment integrity and operational dependability in order to perform missions. To meet this demand, one of the essential linkages is to guarantee the long-term safe and healthy functioning of their power transmission equipment. The Optimized Back Propagation Neural Network (OBPNN) technique used in this study introduces a unique method for monitoring sensor data and evaluating the health state, with the SVM being optimized using the fish swarm algorithm (FSA). A major problem that maintenance is facing nowadays is reliable fault prediction. One of the trickiest difficulties is arguably automatically modelling typical behaviour from condition monitoring data, particularly when there is little information about actual failures. A data-driven learning framework with the best bandwidth selection is suggested to address this challenge. It is based on nonparametric density estimation for outlier identification and OBPNN for normality modelling. The distance to the separating hyper plane's log-normalization is used to provide a health score that is also available. The algorithm's viability is shown by experimental findings while evaluating the progression of a major defect over time in a marine diesel engine. Improved prediction capabilities and low false positive rates on healthy data are realized.  2023 The Authors</text>
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                <text>Mandala V.; Senthilnathan T.; Suganyadevi S.; Gobhinath S.; Selvaraj D.; Dhanapal R.</text>
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                <text>Measurement: Sensors, Vol-29</text>
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                <text>Elsevier Ltd</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.measen.2023.100846" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.measen.2023.100846&lt;/a&gt;
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                <text>All Open Access; Gold Open Access</text>
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                <text>ISSN: 26659174</text>
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                <text>Mandala V., Enterprise Architect, Student in Indiana University, MS in Data Science, IU Bloomington, 107 S. Indiana Avenue, Bloomington, 47405, IN, United States; Senthilnathan T., CHRIST (Deemed to be University), Department of Computer Science, Bengaluru, _29, India; Suganyadevi S., Department of ECE, KPR Institute of Engineering and Technology, Coimbatore, India; Gobhinath S., Department of Electrical and Electronics Engineering, Dr.N.G.P. Institute of Technology, Coimbatore, India; Selvaraj D., Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Coimbatore, 641202, India; Dhanapal R., Department of Computer Science and Engineering, Karpagam Academy of Higher Education, Tamilnadu, Coimbatore, India</text>
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                <text>Patent Number: 202241000628, Applicant: Dr. C R Mahesha.&#13;
It is critical to have a monitoring system in place during every manufacturing process. The time it takes to process raw materials is one factor that influences how long it takes to make a product. A traditional company requires the operator to record the time it takes to process each order on a piece of paper. If you use this method to complete your work, you are likely to make numerous errors. The goal of this paper is to create a system that can automatically record and track processing time in order to solve this problem. There is a device attached to the machine that makes things that automatically checks the production process. It will be simple to use because it has a touch screen LCD. The person who operates the machine's ID card contains an RFID chip that records his or her name. Scanning the database for information about the workpiece using the barcode on the monitoring sheet, then looking up that information in the database A sensor on the machine can show how long it takes to machine in real time. The system's outputs include information such as how long it takes to process and how much storage space it has. In this case, the workshop planning app from the company can be wirelessly linked to this system.</text>
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The present invention is a retail merchandising aided by shop display systems: comprises of, three or more display modules but at least 3 should be available therein, once side of the display structure should be open and provided space to access it, but the other side is closed thereby pivoted vertically to provide the provision for fastening it firmly, therein displaying the items have a better space along with facility is given to the system that it state the items placed in the display modules while pressing the corresponding button provided to the individual display unit.</text>
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Impact of Management- Information- System (MIS) on effective HRM in a business Abstract: Human resource management is now recognised as a critical component of business. The human resources department of an ERP system has a transaction processing layer that handles tasks such as attendance tracking and wage calculation. Tracking employees is also a component of operational work. This serves as the jumping-off point for strategic work. With the increasing importance of human resource management and the growing size of businesses, maintaining employee data and producing accurate reports have become critical components of any business's operations and strategy.</text>
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Employee development and training as a tool for improving employee performance in an organization Abstract: A company's long-term success depends on how well its employees are trained and how well they are taught new things. Workers can use these programmes to improve their skills, but businesses can use them to improve employee productivity and the company's culture at the same time. The 2020 Work Institute found that cutting down on employee turnover has a big impact on a company's bottom line.</text>
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                <text>Efficient, robust, and highly sustainable platinum (Pt)-free electrocatalysts are pivotal for advancing the fuel cell (FC) performance. This study introduces a facile and green approach for synthesizing a rationally designed Co-based zeolite imidazole framework (ZIF) anchored onto carbon (C)-doped white graphene (C-WG) as an electrocatalyst (Z@-C-WG) for the oxygen reduction reaction (ORR). The synergistic effects between the ZIF and C-WG yield an electrocatalyst with enriched active sites. The intrinsic dual active sites coupled with favorable physicochemical properties promote oxygen adsorption and enhance the mass transfer rate. The hybrid catalyst demonstrates significantly improved activity, stability, and poisoning resistivity compared to Pt/C. The synthesized electrocatalyst exhibits superior ORR activity with an onset potential of Eon ?0.967 V (EonPt/C ?0.94 V) in acidic medium and Eon ?0.931 V (Eon(Pt/C) ?0.919) in alkaline medium. Validation through intrinsic parameters including electrochemical active area (ECSA), active site density (ASD), mass activity (MA), and turnover frequency (TOF) corroborates the catalysts enhanced performance. The stability tested for over 35 h coupled with high methanol tolerance affirms the catalysts robust activity. The Z@-C-WG electrocatalyst surpasses Pt/C in resisting poisoning species (CO and KSCN); also, poststripping analysis strongly confirms the presence of abundant active centers. Overall, this study offers a unique perspective toward the engineering of ORR catalyst architecture for fuel cell cathode applications.  2024 American Chemical Society.</text>
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                <text>Mane R.S., Department of Physics, Institute of Chemical Technology Mumbai, Nathalal Parekh Marg, Mumbai, 400019, India; Nair A.S., Department of Physics and Electronics, CHRIST (Deemed to be University), Hosur Rd, Bangalore, 5600029, India; Jafri R.I., Department of Physics and Electronics, CHRIST (Deemed to be University), Hosur Rd, Bangalore, 5600029, India; Jha N., Department of Physics, Institute of Chemical Technology Mumbai, Nathalal Parekh Marg, Mumbai, 400019, India</text>
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                <text>The diametral path of a graph is the shortest path between two vertices which has length equal to diameter of that graph. In raising of structures with columns and beams in Civil Engineering, determining of diametral paths is of great significance. In this paper, the number of diametral paths is determined in complete graphs, complete bipartite graphs, wheels and their total graphs.  IAEME Publication.</text>
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