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Journal articles on the topic 'Gin Framework'

Author: Grafiati

Published: 5 June 2025

Last updated: 16 July 2025

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1

Sona, S., E. M. Thashmigaa, and C. Menaha. "Hospital Management using Gin Framework." International Journal of Engineering and Management Research 14, no. 2 (2024): 34–39. https://doi.org/10.5281/zenodo.10924660.

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The ever-evolving landscape of healthcare necessitates the development of efficient Hospital Management Systems (HMS) to optimize operational workflows and facilitate superior patient care. This paper introduces the design and implementation of an HMS using the Gin Framework, a lightweight and versatile web framework tailored for the Go programming language. The proposed HMS encompasses essential modules, such as patient registration, appointment scheduling, electronic health records (EHR), inventory management, and billing. Leveraging the Gin Framework's performance-oriented architecture, the

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Yang, Jason Aaron, and Syaeful Anas Aklani. "PERFORMANCE ANALYSIS BETWEEN INTERPRETED LANGUAGE-BASED (LARAVEL) AND COMPILED LANGUAGE-BASED (GIN) WEB FRAMEWORKS." Computer Based Information System Journal 11, no. 1 (2023): 12–16. http://dx.doi.org/10.33884/cbis.v11i1.6583.

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Web frameworks are essential for web developers, allowing them to build web applications more efficiently and effectively. This research paper compared two web frameworks with different programming language implementations: interpreted programming language and compiled programming language. PHP/Laravel was chosen as the representative interpreted programming language, and Go/Gin was chosen as the representative compiled programming language, because they were the most popular based on their star counts on GitHub. Based on a research paper by the University of Minho, Go was nearly 10 times fast

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G. Keerthi. "Comparing Machine Learning Algorithms: A Graph Theory Approach for Improving Accuracy." Communications on Applied Nonlinear Analysis 31, no. 8s (2024): 1059–72. https://doi.org/10.52783/cana.v31.5777.

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Graph theory provides a robust framework for modelling complex relationships in medical data, enhancing classification accuracy through relational learning. Unlike traditional machine learning (ML) models that treat data points independently, graph-based approaches support structural dependencies to improve feature representation. This study explores the application of Graph Attention Networks (GAT), GraphSAGE, Graph Convolutional Network(GCN) and Graph Isomorphism Network (GIN) for breast cancer classification, employing k-nearest neighbor (KNN) graphs to construct a structured dataset where

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Kang, Song-Hee, Youngjin Choi, and Jae Young Choi. "Restoration of Missing Patterns on Satellite Infrared Sea Surface Temperature Images Due to Cloud Coverage Using Deep Generative Inpainting Network." Journal of Marine Science and Engineering 9, no. 3 (2021): 310. http://dx.doi.org/10.3390/jmse9030310.

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In this paper, we propose a novel deep generative inpainting network (GIN) trained under the framework of generative adversarial learning, which is optimized for the restoration of cloud-disturbed satellite sea surface temperature (SST) imagery. The proposed GIN architecture can achieve accurate and fast restoration results. The proposed GIN consists of rough and fine reconstruction stages to promote the details and textures of missing (clouded) regions in SST images. We also propose a nov el preprocessing strategy that replaces the land areas with the average value of daily oceanic surface te

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Nureen, Naila, Da Liu, Muhammad Irfan, Maida Malik, and Usama Awan. "Nexuses among Green Supply Chain Management, Green Human Capital, Managerial Environmental Knowledge, and Firm Performance: Evidence from a Developing Country." Sustainability 15, no. 6 (2023): 5597. http://dx.doi.org/10.3390/su15065597.

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The growing pressures from the government, buyers, consumers, suppliers, and the general public have recently compelled manufacturing firms to enhance their production methods by becoming more environmentally friendly and pursuing new innovative methods for producing green goods in developing countries. However, the relationship between green supply chain management (GSCM), green human capital (GHC), green innovation (GIN), managerial environmental knowledge (MEK), and firm performance (FPR) has received only a minimal amount of research focus. This study addresses this research gap by providi

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Zheltonozhsky, V. A., V. M. Mazur, Z. M. Bigan та D. M. Symochko. "Investigation of isomer ratios yields for 109Pd and 112In nucleus for E1-giant resonance range in (γ, n)-reactions". Nuclear Physics and Atomic Energy 8, № 3 (2007): 37–41. https://doi.org/10.15407/jnpae2007.03.037.

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Within 9 - 18 MeV energy range the dependence of isomer yield ratios and cross-sections on gamma-quanta energy in the 110Pd(γ, n)109m,gPd and 113In(γ, n)112m,gIn reactions have been studied. The experimental results are compared with those calculated within the framework of cascade-evaporation model.

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Chen, Jingxia, Xiuling Chen, and Bo Yu. "Design of web vulnerability scanner based on go language." MATEC Web of Conferences 336 (2021): 08010. http://dx.doi.org/10.1051/matecconf/202133608010.

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The vulnerability scanner designed in this paper completed the collection of information and scanning of vulnerability, including six parts: input assets, asset collection, vulnerability profile, plug-in upload, single case detection and report display. The framework of vue realized the front end that included six pages, and the framework of gin realized the back end. The interface completed the separation of the front and back end. The database using MySQL designed seven tables. This scanner can avoid tedious and repetitive work, it can realize automatic scanning and testing of network vulner

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Cheng, Le, Peican Zhu, Keke Tang, Chao Gao, and Zhen Wang. "GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 1 (2024): 55–63. http://dx.doi.org/10.1609/aaai.v38i1.27755.

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Source detection in graphs has demonstrated robust efficacy in the domain of rumor source identification. Although recent solutions have enhanced performance by leveraging deep neural networks, they often require complete user data. In this paper, we address a more challenging task, rumor source detection with incomplete user data, and propose a novel framework, i.e., Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion (GIN-SD), to tackle this challenge. Specifically, our approach utilizes a positional embedding module to distinguish nodes that are inc

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Tian, Shanwu, Xiaozhen Lai, Lijun Dong, and Xiurui Xu. "Digital Capabilities, Integration into Global Innovation Networks, and Enterprise Innovation Performance." Systems 13, no. 3 (2025): 212. https://doi.org/10.3390/systems13030212.

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Against the backdrop of accelerated global digital transformation and the shift toward open innovation models, this study examines how enterprises leverage digital capabilities to integrate into global innovation networks (GINs) and enhance innovation performance, while exploring the moderating role of organizational flexibility. Drawing on dynamic capability and social network theories, a multidimensional framework of digital capabilities (perception, operation, and coordination) and organizational flexibility (cultural, resource, and capability) is proposed. The empirical analysis of 343 Chi

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Olaya Cuartero, Javier, Miguel García Jaén, Salvador García Martínez, and Alberto Ferriz Valero. "Los grupos interactivos en Educación Física: Una experiencia docente en Educación Secundaria (Interactive Groups in Physical Education: A Teaching Experience in Secondary Education)." Retos, no. 38 (February 14, 2020): 369–74. http://dx.doi.org/10.47197/retos.v38i38.74606.

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El proyecto de investigación de más rango científico y con los mayores recursos dedicados al estudio de la educación escolar en el Programa Marco de la Unión Europea: INCLUD-ED, muestra que las prácticas de las escuelas de éxito en Europa están en la línea del enfoque dialógico del aprendizaje. En un centro educativo donde el alumnado pertenece a 36 nacionalidades diferentes, se propone la implantación de formas dialógicas de organización en el aula como los grupos interactivos. El objetivo del presente estudio fue analizar el tipo de agrupación en el aula mediante grupos interactivos para com

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Kim, Cheolhyeong, Haeseong Moon, and Hyung Ju Hwang. "NEAR: Neighborhood Edge AggregatoR for Graph Classification." ACM Transactions on Intelligent Systems and Technology 13, no. 3 (2022): 1–17. http://dx.doi.org/10.1145/3506714.

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Learning graph-structured data with graph neural networks (GNNs) has been recently emerging as an important field because of its wide applicability in bioinformatics, chemoinformatics, social network analysis, and data mining. Recent GNN algorithms are based on neural message passing, which enables GNNs to integrate local structures and node features recursively. However, past GNN algorithms based on 1-hop neighborhood neural message passing are exposed to a risk of loss of information on local structures and relationships. In this article, we propose Neighborhood Edge AggregatoR (NEAR), a fra

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Wijaya, Reza Irfan, Muhammad Lulu Latif Usman, Fahrudin Mukti Wibowo, and Muhamad Azrino Gustalika. "Rancang Bangun Sistem Infromasi Tracer Study Berbasis Website Menggunakan Metode SCRUM (Studi Kasus: Institut Tekologi Telkom Purwokerto)." Journal of Software Engineering and Multimedia (JASMED) 2, no. 1 (2024): 10–20. http://dx.doi.org/10.20895/jasmed.v2i1.1235.

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Tracer Study merupakan kegiatan yang dilakukan oleh lembaga pendidikan untuk menggumpulkan data alumni yang pada umumnya dilakukan setiap satu sampai tiga tahun sekali dengan tujuan untuk mengetahui profil kerja alumni sehingga didapatkan kesesuaian ilmu yang diperoleh di perguruan tinggi dengan dunia kerja yang digunakan sebagai evaluasi kurikulum dan prestasi perguruan tinggi. Institut Teknologi Telkom Purwokerto telah melakukan kegiatan tracer study namun media yang digunakan masih berupa google form dan report dari hasil pendataan dan pelacakan masih berupa file excel maupun pdf yang belum

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Piggott, Thomas, Francesco Nonino, Elisa Baldin, et al. "Multiple Sclerosis International Federation guideline methodology for off-label treatments for multiple sclerosis." Multiple Sclerosis Journal - Experimental, Translational and Clinical 7, no. 4 (2021): 205521732110518. http://dx.doi.org/10.1177/20552173211051855.

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Background A total of 2.8 million people are living with multiple sclerosis and due to disparities in access to medicines, the ability to treat this condition varies widely. Off-label disease-modifying therapies are sometimes more available or affordable in different health systems. Appropriate methodology is integral in creating high-quality and trustworthy guidelines. In this article, we outline Multiple Sclerosis International Federation’s (MSIF) approach to creating guidelines for off-label treatments for multiple sclerosis. Methods We use the Guidelines International Network (GIN)-McMaste

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Bishop, S. C., and M. J. Stear. "Modelling responses to selection for resistance to gastro-intestinal parasites in sheep." Animal Science 64, no. 3 (1997): 469–78. http://dx.doi.org/10.1017/s1357729800016088.

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AbstractThis paper describes a general framework which enables responses to selection for resistance to gastro-intestinal parasites in sheep to be stochastically modelled. The model incorporates between-animal variation for pasture intake, the proportion of larvae ingested from the pasture which survive to become adults, the fecundity of the mature worm, along with density-dependent control of this trait and the mortality rate of the worms. The between-animal variation for each component is partitioned into genetic, permanent and temporary environmental components which vary with age. Infectio

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Rahbar, Nariman, Karim Sattari, Mohsen Ahadi, and Hamid Haghani. "The effects of a temporal processing-based auditory training program on the auditory skills of elderly users of hearing aids: a study protocol for a randomized clinical trial." F1000Research 9 (May 22, 2020): 425. http://dx.doi.org/10.12688/f1000research.22757.1.

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Background: One of the most important effects of age-related declines in neural processing speed is the impairment of temporal resolution, which leads to difficulty hearing in noisy environments. Since the central auditory system is highly plastic, by designing and implementing a temporal processing-based auditory training program, we can help the elderly improve their listening skills and speech understanding in noisy environments. Methods: In the first phase of this research, based on the theoretical framework of temporal processing, an auditory training solution was developed as a software

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Sattari, Karim, Nariman Rahbar, Mohsen Ahadi, and Hamid Haghani. "The effects of a temporal processing-based auditory training program on the auditory skills of elderly users of hearing aids: a study protocol for a randomized clinical trial." F1000Research 9 (July 6, 2020): 425. http://dx.doi.org/10.12688/f1000research.22757.2.

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Background: One of the most important effects of age-related declines in neural processing speed is the impairment of temporal resolution, which leads to difficulty hearing in noisy environments. Since the central auditory system is highly plastic, by designing and implementing a temporal processing-based auditory training program, we can help the elderly improve their listening skills and speech understanding in noisy environments. Methods: In the first phase of this research, based on the theoretical framework of temporal processing, an auditory training solution was developed as a software

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Malhi, Gin S., Erica Bell, Darryl Bassett, et al. "The 2020 Royal Australian and New Zealand College of Psychiatrists clinical practice guidelines for mood disorders." Australian & New Zealand Journal of Psychiatry 55, no. 1 (2020): 7–117. http://dx.doi.org/10.1177/0004867420979353.

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Objectives: To provide advice and guidance regarding the management of mood disorders, derived from scientific evidence and supplemented by expert clinical consensus to formulate s that maximise clinical utility. Methods: Articles and information sourced from search engines including PubMed, EMBASE, MEDLINE, PsycINFO and Google Scholar were supplemented by literature known to the mood disorders committee (e.g. books, book chapters and government reports) and from published depression and bipolar disorder guidelines. Relevant information was appraised and discussed in detail by members of the m

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Meijers, Sebastiaan, Inge Stegeman, Josephine A. van der Leun, Saloua A. Assegaf, and Adriana L. Smit. "Analysis and comparison of clinical practice guidelines regarding treatment recommendations for chronic tinnitus in adults: a systematic review." BMJ Open 13, no. 9 (2023): e072754. http://dx.doi.org/10.1136/bmjopen-2023-072754.

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ObjectivesTo determine if, and to what extent, published clinical practice guidelines for the treatment of chronic tinnitus vary in their recommendations.DesignSystematic review of guidelines.Data sourcesPubMed, EMBASE and GIN electronic databases were searched in March 2022 and the search was updated in June 2023.Eligibility criteriaWe included clinical practice guidelines that gave recommendations on the treatment of tinnitus. No language restrictions were applied.Data extraction and synthesisTwo independent reviewers extracted the data and used the AGREE checklist to report on reporting.Res

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Topchiy, Dmitriy V., Victoriya V. Klimina, Muhamad-Basir Kh Kodzoev, and Ildar M. Khaliullin. "Study of the stress-strain state of the structure by the strain gauge method in the implementation of renova-tion facilities." Journal «Izvestiya vuzov. Investitsiyi. Stroyitelstvo. Nedvizhimost» 9, no. 2 (2019): 372–83. http://dx.doi.org/10.21285/2227-2917-2019-2-372-383.

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The stress-strain state of reinforced concrete structures was investigated using the strain gauge method within the framework of geotechnical monitoring and the construction of the calibration dependence. The behaviour of the test bars under load was studied along with a model of the calibration dependence of the gradually increasing load on indirect characteristics. A comparative analysis and reduction of the dependen-cies effective in tabular and graphical form, gradually increasing in numerical value of the loads from the indirect reactive characteristic showed on the display of the strain

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Rebetsky, Yu L., A. A. Dobrynina, and V. A. Sankov. "TECTONOPHYSICAL ZONING OF ACTIVE FAULTS OF THE BAIKAL RIFT SYSTEM." Geodynamics & Tectonophysics 15, no. 4 (2024): 0775. http://dx.doi.org/10.5800/gt-2024-15-4-0775.

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Tectonophysical zoning of active faults of the Baikal rift system (BRS) was performed based on the degree of hazard caused by the generation of earthquakes of magnitude 7.0 and higher. The first basis for this procedure was the results of the natural stress state reconstruction, earlier performed from seismological indicators of rupture deformations (earthquake focal mechanisms). The second important element of fault zoning was electronic maps of active faults of Eurasia hosted on the GIN RAS sever. Within the algorithmic framework for Rebetsky’s method of cataclastic analysis, both of these d

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Mi, Lingyun, Jiali Han, Ting Xu, et al. "Evaluating Whether and How Public Health Event Information Frameworks Promote Pro-Environmental Behavior." International Journal of Environmental Research and Public Health 20, no. 4 (2023): 3721. http://dx.doi.org/10.3390/ijerph20043721.

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The major public health emergencies (PHEs) represented by the COVID-19 pandemic, while posing a serious threat to human health, have led people to rethink about the harmonious relationship between humans and nature. It is worthy to explore whether and how the framework effect of event information can be used to turn crises into opportunities to promote public pro-environmental behavior (PEB). Through a pre-and post-test control experiment, this study took the COVID-19 pandemic as a case, to explore the effects of four PHE information frameworks on promoting PEB, coupled with two information lo

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Bartoň, Radek, and Martin Hrubý. "GAL Framework." Geoinformatics FCE CTU 2 (December 19, 2007): 33–42. http://dx.doi.org/10.14311/gi.2.5.

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GAL (GIS or GRASS? Abstraction Layer) Framework is meant to be multiplatform OpenSource library with certain tools and subsidiary daemons for easy implementation of distributed modules for GIS GRASS in static or dynamic programming languages. This article aims to present some ideas behind this library and bait a fresh meat for this project since its complexity needs more spread development team not just single person. Project homepage can be found at http://gal-framework.no-ip.org.

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Giorgi, Alessandra. "Pragmatics in the Minimalist framework." Evolutionary Linguistic Theory 5, no. 2 (2023): 103–27. http://dx.doi.org/10.1075/elt.00049.gio.

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Abstract This article explores the relationship between pragmatics and the other components of grammar. Specifically, it aims to determine whether pragmatics is a distinct module of grammar coming into play at some point in the derivation process to connect the sentence with the context. The conclusion is that, based on the phenomena considered in this work, pragmatics rather than being a separate module, is distributed in the various components. It is shown in fact that the context immediately intervenes at the representative level to yield the correct syntax to be fed to the sensorimotor sys

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Fromion, Vincent, and G�rard Scorletti. "A theoretical framework for gain scheduling." International Journal of Robust and Nonlinear Control 13, no. 10 (2003): 951–82. http://dx.doi.org/10.1002/rnc.748.

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Stemmler–Harding, Sabine. "Causality and Chaos: On Aristotelian Metaphysics in Ancient Egyptian Cosmogonies." Journal of the Hellenic Institute of Egyptology 2 (January 1, 2014): 135–61. https://doi.org/10.5281/zenodo.8152139.

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This research aims to demonstrate that the ancient Egyptians had a profound understanding of abstract, philosophical concepts rather than a mere collection of primitive beliefs, founded in mytho–religion. In order to achieve this, we compare some ancient Egyptian Cosmogonies and Aristotle’s (fundamental) metaphysical concepts of causality, actuality and potentiality. We are very cautious not to force a Western framework upon an ancient culture, nor do we attempt the paradoxical quest to find an origin of Aristotelian metaphysics in ancie

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Bashir, Naazish S., and Wendy J. Ungar. "The 3-I framework: a framework for developing public policies regarding pharmacogenomics (PGx) testing in Canada." Genome 58, no. 12 (2015): 527–40. http://dx.doi.org/10.1139/gen-2015-0100.

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The 3-I framework of analyzing the ideas, interests, and institutions around a topic has been used by political scientists to guide public policy development. In Canada, there is a lack of policy governing pharmacogenomics (PGx) testing compared to other developed nations. The goal of this study was to use the 3-I framework, a policy development tool, and apply it to PGx testing to identify and analyze areas where current policy is limited and challenges exist in bringing PGx testing into wide-spread clinical practice in Canada. A scoping review of the literature was conducted to determine the

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Gelashvili, Inga, and Maryna Ostrianska. "GEORGIAN HIGHER EDUCATION WITHIN THE FRAMEWORK OF ACCREDITATION PROCESS." Georgian International University GIU the Interdisciplinary Science Journal 1, no. 1 (2023): 89–94. http://dx.doi.org/10.61950/giu.1.2023.7350.

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Over the past few years, within the framework of the reform of quality assurance of higher education, important changes have been made. The goal of the reform is higher education improving the quality of education in institutions and making it student-oriented providing an educational environment. As a result of carrying out 8 reforms, the quality assessment system of higher education was changed. Authorization standards and procedures have come in line with the highest with the quality assurance standards of theEuropean space of education and with the guiding principles. The system will becom

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Zhao, Zhongwei, Ran Song, Qian Zhang, Peng Duan, and Youmei Zhang. "JoT-GAN: A Framework for Jointly Training GAN and Person Re-Identification Model." ACM Transactions on Multimedia Computing, Communications, and Applications 18, no. 1s (2022): 1–18. http://dx.doi.org/10.1145/3491225.

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To cope with the problem caused by inadequate training data, many person re-identification (re-id) methods exploit generative adversarial networks (GAN) for data augmentation, where the training of GAN is typically independent of that of the re-id model. The coupling relation between them that probably brings in a performance gain of re-id is thus ignored. In this work, we propose a general framework, namely JoT-GAN, to jointly train GAN and the re-id model. It can simultaneously achieve the optima of both the generator and the re-id model, where the training is guided by each other through a

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Katona, Bryson W., Matthew B. Yurgelun, Judy E. Garber, et al. "A counseling framework for moderate-penetrance colorectal cancer susceptibility genes." Genetics in Medicine 20, no. 11 (2018): 1324–27. http://dx.doi.org/10.1038/gim.2018.12.

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Kang, Kwang-Min, Chang-Soo Rim, and Sei-Eui Yoon. "Object-oriented Prototype Framework For Tightly Coupled GIS-based Hydrologic Modeling." Journal of Korea Water Resources Association 45, no. 6 (2012): 597–606. http://dx.doi.org/10.3741/jkwra.2012.45.6.597.

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Lee, Hyunsoo, Seok-Youn Han, and Kee-Jun Park. "Generative Adversarial Network-based Missing Data Handling and Remaining Useful Life Estimation for Smart Train Control and Monitoring Systems." Journal of Advanced Transportation 2020 (November 27, 2020): 1–15. http://dx.doi.org/10.1155/2020/8861942.

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As railway is considered one of the most significant transports, sudden malfunction of train components or delayed maintenance may considerably disrupt societal activities. To prevent this issue, various railway maintenance frameworks, from “periodic time-based and distance-based traditional maintenance frameworks” to “monitoring/conditional-based maintenance systems,” have been proposed and developed. However, these maintenance frameworks depend on the current status and situations of trains and cars. To overcome these issues, several predictive frameworks have been proposed. This study propo

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Zhou, Fen, Xuping Tu, Qingdong Wang, and Guosong Jiang. "Improved GCN Framework for Human Motion Recognition." Scientific Programming 2022 (May 9, 2022): 1–10. http://dx.doi.org/10.1155/2022/2721618.

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Human recognition models based on spatial-temporal graph convolutional neural networks have been gradually developed, and we present an improved spatial-temporal graph convolutional neural network to solve the problems of the high number of parameters and low accuracy of this type of model. The method mainly draws on the inception structure. First, the tensor rotation is added to the graph convolution layer to realize the conversion between graph node dimension and channel dimension and enhance the model’s ability to capture global information for small-scale tasks. Then the inception temporal

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Kim, Shin-Haing. "Capital gain in a neo-austrian framework." Structural Change and Economic Dynamics 5, no. 2 (1994): 361–82. http://dx.doi.org/10.1016/0954-349x(94)90009-4.

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Yang, Jianhua, Danyang Ruan, Jiwu Huang, Xiangui Kang, and Yun-Qing Shi. "An Embedding Cost Learning Framework Using GAN." IEEE Transactions on Information Forensics and Security 15 (2020): 839–51. http://dx.doi.org/10.1109/tifs.2019.2922229.

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Le, Huu Ton, Thierry Urruty, Syntyche Gbèhounou, François Lecellier, Jean Martinet, and Christine Fernandez-Maloigne. "Improving retrieval framework using information gain models." Signal, Image and Video Processing 11, no. 2 (2016): 309–16. http://dx.doi.org/10.1007/s11760-016-0938-x.

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Matania, Eviatar, Lior Yoffe, and Michael Mashkautsan. "A Three-Layer Framework for a Comprehensive National Cyber-security Strategy." Georgetown Journal of International Affairs 17, no. 3 (2016): 77–84. http://dx.doi.org/10.1353/gia.2016.0038.

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Md Taib, Norraeffa, Shahreena Daud, and Zarinah Abu Yazid. "A CONCEPTUAL FRAMEWORK OF CONSUMERS’ INTENTION TO PURCHASE HALAL FOOD AMONG GEN Z IN MALAYSIA." Journal of Islamic Philanthropy and Social Finance 4, no. 2 (2022): 84–91. http://dx.doi.org/10.24191/jipsf/v4n22022_84-91.

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The purpose of this paper is to develop a conceptual framework that provides insights and aids in understanding the factors that influence consumers’ intention to purchase halal food among Gen Z in Malaysia. This concept paper explains the relationship between attitude, subjective norms, and perceived behavioural control towards purchase intention on halal food among Gen Z in Malaysia. Based on an extensive literature review, this paper proposes a conceptual framework for understanding the relationship and relevant insights on its development. The study uses a descriptive research approach in

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Mashchenko, Olena A. "EXISTENTIAL PERSPECTIVE OF THE LOST GENERATION IN J. OKADA’S NOVEL NO-NO BOY." Alfred Nobel University Journal of Philology 1, no. 29 (2025): 50–60. https://doi.org/10.32342/3041-217x-2025-1-29-3.

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John Okada is one of the most famous representatives of Asian American literature, that received a powerful impetus for development after World War II. The writer was one of the first to depict the premis- es and consequences of the complex self-identification that Japanese Americans had to go through during and after World War II. The writer, who saw the horrors of war and the forced policy that broke the fates of people of the country with his own eyes, creates a novel that reflects the confusion of the representatives of the “nisei” generation, who find themselves at a crossroads in their o

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Dahdal, Simon, Lorenzo Colombi, Matteo Brina, et al. "An MLOps Framework for GAN-based Fault An MLOps Framework for GAN-based Fault Detection in Bonfiglioli’s EVO Plant." Infocommunications journal 16, no. 2 (2024): 2–10. http://dx.doi.org/10.36244/icj.2024.2.1.

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In Industry 5.0, the scarcity of data on defective components in smart manufacturing leads to imbalanced data sets. This imbalance poses a significant challenge to the develop ment of robust Machine Learning (ML) models, which typically require a rich variety of data for effective training. The imbal ance not only restricts the models’ accuracy but also their ap plicability in diverse industrial scenarios. To tackle this issue, our research delves into the capabilities of Deep Generative Models, with a special focus on Generative Adversarial Networks, for the generation of synthetic data. This

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Mositsa, Ramakolote Judas, John Andrew Van der Poll, and Cyrille Dongmo. "Towards a Conceptual Framework for Data Management in Business Intelligence." Information 14, no. 10 (2023): 547. http://dx.doi.org/10.3390/info14100547.

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Business intelligence (BI) refers to technologies, tools, and practices for collecting, integrating, analyzing, and presenting large volumes of information to enable improved decision-making. A modern BI architecture typically consists of a data warehouse made up of one or more data marts that consolidate data from several operational databases. BI further incorporates a combination of analytics, data management, and reporting tools, together with associated methodologies for managing and analyzing data. An important goal of BI initiatives is to improve business decision-making for organizatio

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Smith, Leonie. "Structural Alienation: Lu’s Structural Approach to Reconciliation from within a Relational Framework." Global Justice : Theory Practice Rhetoric 11, no. 2 (2019): 1–14. http://dx.doi.org/10.21248/gjn.11.02.211.

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In Justice and Reconciliation in World Politics Catherine Lu argues that structural reconciliation, rather than interactional reconciliation, ought to be the primary normative goal for political reconciliation efforts. I suggest that we might have good reason to want to retain relational approaches – such as that of Linda Radzik – as the primary focus of reconciliatory efforts, but that Lu’s approach is invaluable for identifying the parties who ought to bear responsibility for those efforts in cases of structural injustice. First, I outline Lu’s analysis of reconciliation, where she argues fo

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Kemper, Alex R., Christopher A. Kus, Robert J. Ostrander, et al. "A framework for key considerations regarding point-of-care screening of newborns." Genetics in Medicine 14, no. 12 (2012): 951–54. http://dx.doi.org/10.1038/gim.2012.89.

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Tavtigian, Sean V., Marc S. Greenblatt, Steven M. Harrison, et al. "Modeling the ACMG/AMP variant classification guidelines as a Bayesian classification framework." Genetics in Medicine 20, no. 9 (2018): 1054–60. http://dx.doi.org/10.1038/gim.2017.210.

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Kompally, Venkata Srinivas, and Preethi Gajawada. "Machine Learning-Based Framework for Detecting Unauthorized IoT Devices." International journal of IoT 05, no. 01 (2025): 146–58. https://doi.org/10.55640/ijiot-05-01-08.

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The widespread adoption of Internet of Things (IoT) devices across homes and enterprises has introduced significant security risks, especially when unauthorized or compromised devices gain access to sensitive networks. This paper proposes a machine learning-based framework to detect unauthorized IoT devices in real-time using features extracted from TCP/IP traffic. We utilize a Random Forest classifier trained on labeled network traffic from authorized devices. The proposed approach detects device types not on a pre-established whitelist, achieving an average of 96% accuracy in identifying una

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Iqtiar, Md Siddique. "Theoretical Framework for Requirements Engineering: DevOps." European Journal of Advances in Engineering and Technology 11, no. 5 (2024): 25–32. https://doi.org/10.5281/zenodo.11312664.

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This paper presents a comprehensive theoretical framework for requirements engineering, elucidating the foundational principles, methodologies, and practices essential for the effective elicitation, analysis, specification, validation, and management of requirements in software development projects. Drawing from established literature and industry best practices, the framework provides a structured approach to requirements engineering, emphasizing the importance of stakeholder collaboration, communication, and alignment throughout the software development lifecycle. Key concepts such as requir

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Elisabeta, Antonia Haller. "BRAIN Journal - Geospatial Analysis Framework." BRAIN Journal 1, no. 2 (2010): 166–71. https://doi.org/10.5281/zenodo.1026889.

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ABSTRACT: In a computerized society, the volume of data grows unexpectedly, making assessing their processing time a very difficult task. A priority has become the processing of data in useful information and knowledge. Thus we can say that data mining is a result of technological developments. The interpretation of spatial data has constituted a subject of research over time, reaching now a large variety of instruments and software products for representation and interpretation. What we need to understand beyond the facilities offered by one system or another, proprietary or open source solut

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Feng, Yunlong, and Qiang Wu. "A Framework of Learning Through Empirical Gain Maximization." Neural Computation 33, no. 6 (2021): 1656–97. http://dx.doi.org/10.1162/neco_a_01384.

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We develop in this letter a framework of empirical gain maximization (EGM) to address the robust regression problem where heavy-tailed noise or outliers may be present in the response variable. The idea of EGM is to approximate the density function of the noise distribution instead of approximating the truth function directly as usual. Unlike the classical maximum likelihood estimation that encourages equal importance of all observations and could be problematic in the presence of abnormal observations, EGM schemes can be interpreted from a minimum distance estimation viewpoint and allow the i

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Alpar, Orcan. "Biometric keystroke barcoding: A next-gen authentication framework." Expert Systems with Applications 177 (September 2021): 114980. http://dx.doi.org/10.1016/j.eswa.2021.114980.

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Polushin, Ilia G., and Sergey N. Dashkovskiy. "A Small Gain Framework for Networked Cooperative Teleoperation *." IFAC Proceedings Volumes 43, no. 14 (2010): 90–95. http://dx.doi.org/10.3182/20100901-3-it-2016.00240.

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Katabi, Dina, and John Wroclawski. "A framework for scalable global IP-anycast (GIA)." ACM SIGCOMM Computer Communication Review 30, no. 4 (2000): 3–15. http://dx.doi.org/10.1145/347057.347388.

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