Strategies for the Promotion of Regenerative Tourism: Hospitality Communities as Niches for Tourism Innovation by Blanca Miedes-Ugarte, David Flores-Ruiz

“…These include the need for public policies aimed at strengthening these innovation niches through collaborative networks, organisational learning, and adequate funding. This article also contributes to narrowing the gap between theory and experience in regenerative tourism.…”
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Resilience of Spanish Firms: a comparative analysis of large and small businesses in the face of 008 financial crisis and COVID-19 by Jose Sevilla, Cristina Ruiz-Martin, Juan Jose Nebro, Adolfo Lopez-Paredes

“…Applying the dynamic organizational resilience model—Absorption, Adaptation, and Learning—we propose that large Spanish companies, having weathered the 2008 financial crisis, were better equipped for COVID-19. …”
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ASSESSMENT OF STUDENTS’ PROFESSIONAL COMPETENCIES – THE FUTURE TEACHERS OF MATHEMATICS by Mariya B. Shashkina, Ekaterina A. Ayoshina

“…The study gives a detailed analysis of developing the innovative approach to competencies assessment as metasubject learning outcomes.Practical significance. The proposed method of competencies assessment can be used in the mathematical preparation of the future mathematics teacher, and can serve as a basis for monitoring the professional competencies of students.…”
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Training Neural Networks with a Procedure Guided by BNF Grammars by Ioannis G. Tsoulos , Vasileios Charilogis

“…Artificial neural networks are parametric machine learning models that have been applied successfully to an extended series of classification and regression problems found in the recent literature. …”
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Attention-assisted dual-branch interactive face super-resolution network by Xujie Wan, Siyu Xu, Guangwei Gao

“…We propose a deep learning-based Attention-Assisted Dual-Branch Interactive Network (ADBINet) to improve facial super-resolution by addressing key challenges like inadequate feature extraction and poor multi-scale information handling. …”
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ENTERTAINMENT VIOLENCE IN THE LEISURE OF STUDENT YOUTHS by M. I. Zhabskiy, К. A. Tarasov

“…The current bursts of violence in the Russian comprehensive school actualize the issues of the place held by entertainment violence in the cinematic leisure of the learning youth, and of the possibility of its stimulating the aggressive behavior in their midst. …”
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Improved Population Intelligence Algorithm and BP Neural Network for Network Security Posture Prediction by Yueying Li, Feng Wu

“…First, the adaptive adjustment of the two parameters with the increase of iterations is achieved by improving the inertia weights and learning factors in the particle swarm optimization (PSO) algorithm so that the PSO has a large search range and high speed at the initial stage and a strong and stable convergence capability at the later stage. …”
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Violences en milieu scolaire au Gabon. Regards croisés autour de l’analyse de contenu des mémoires professionnels des étudiants en fin de cycle à l’ENS de Libreville by Romaric Franck Quentin De Mongaryas, Euloge Bibalou

“…Since the holding of the Estates General on Education, Research and Training (2010), the Gabonese state has undertaken numerous reforms in its education system in order to ensure the best teaching and learning conditions. Contrary to political expectations, the results obtained remain very insufficient inasmuch as school failure and violence have unfortunately become recurring problems for the Gabonese school. …”
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Weather Radar Image Superresolution Using a Nonlocal Residual Network by Haoxuan Yuan, Qiangyu Zeng, Jianxin He

“…In addition, long skip connection (LSC) added in the network avoids learning low-frequency information, making the network focus on high-level features. …”
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Baccalaureate at Technical University: Problems and Ways of Their Solutions by N. N. Dvulichanskaya, G. N. Fadeev

“…Basing on their own experience, the authors consider the forms and methods of organization of learning the natural science disciplines on the example of teaching chemistry to technical students. …”
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Real-time event detection using recurrent neural network in social sensors by Van Quan Nguyen, Tien Nguyen Anh, Hyung-Jeong Yang

“…We proposed an approach for temporal event detection using deep learning and multi-embedding on a set of text data from social media. …”
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Robotic Radical Cystectomy: Where are We Today, Where will We be Tomorrow? by Kyle A. Richards, A. Karim Kader, Ashok K. Hemal

“…The robotic approach has the potential advantages of less intraoperative blood loss, shorter hospital stay, less post-operative narcotic requirement, quicker return of bowel function, and earlier convalescence with an acceptable surgical learning curve for surgeons adept at robotic radical prostatectomy. …”
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School of Spanish by V. A. Iovenko

“…It is hard to imagine successful language learning without the understanding of a broad cultural context. …”
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Advancing Middle Level Leadership: Middle School Principal Preparation Programs and Approaches to Leadership by Toni M. Williams, W. Keith Burgess

“…Middle school principals are essential to creating a successful learning environment. They should possess expertise in adolescent development, foster a diverse and equitable school community, and invest in teacher development. …”
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Addressing students with hearing impairment's current state and future needs: Reforming an inclusive science education by Adeniyi Michael Adeduyigbe, Anuoluwapo Elizabeth Adeduyigbe, Bamidele Emmanuel Tijani

“…The paper emphasises the necessity of integrating visual learning tools and assistive technologies, which have been shown to enhance comprehension and engagement among learners with hearing impairment. …”
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Humanizacja w XXI wieku nowoczesnego podmiotu by Irena Grochowska

“…The responsible, "auxiliary" functions require the integrally shaped person rather than learning the individual roles. Therefore, the important hierarchy in shaping the man has a considerable influence on the final effect, which is the "real" man. …”
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A Novel Prescribed-Time Convergence Acceleration Algorithm with Time Rescaling by Xuehui Mei, Pengrui Zhang, Haijun Jiang, Zhiyong Yu

“…In machine learning, the processing of datasets is an unavoidable topic. …”
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An Analysis of the Economic Impact of US Presidential Elections Based on Principal Component and Logical Regression by Jing-Jing Wang, Yan Liang, Jin-Tao Su, Jia-Ming Zhu

“…In order to investigate the impact of the US presidential election on the economy, this paper first constructs an analysis model of the economic impact on the United States based on stepwise regression and principal component analysis to analyze the focus of different candidates’ attention on the economic issues and its possible impact on the US economy in the election year and after the election; secondly, a Chinese economic impact analysis model based on factor analysis and machine learning logistic regression was constructed to analyze the impact of the US presidential election on the Chinese economy. …”
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Application Research of Cross-Attention Mechanism for Traffic Prediction Based on Heterogeneous Data by Feng Zhihao

“…Through an analysis of these methods, the research demonstrates how applying advanced deep learning algorithms and cross-attention processes has significantly improved prediction robustness and accuracy. …”
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Estimating the Physical Properties of Nanofluids Using a Connectionist Intelligent Model Known as Gaussian Process Regression Approach by Tzu-Chia Chen, Ali Thaeer Hammid, Avzal N. Akbarov, Kaveh Shariati, Mina Dinari, Mohammed Sardar Ali

“…This work aims to develop a robust machine learning model for the prediction of the relative viscosity of nanoparticles (NPs) including Al2O3, TiO2, SiO2, CuO, SiC, and Ag based on the most important input parameters affecting them covering the size, concentration, thickness of the interfacial layer, and intensive properties of NPs. …”
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