Beyond the Classroom Walls: Metacognitive awareness in traditional and online setting by Radka Miháliková

“…Secondly, the study aims to explore the students’ preferences for online and in-person learning to compare themetacognitive awareness of students based on their preferences. …”
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Beyond the Classroom Walls: Metacognitive awareness in traditional and online setting by Radka Miháliková

“…Secondly, the study aims to explore the students’ preferences for online and in-person learning to compare themetacognitive awareness of students based on their preferences. …”
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Visual insights into personalizing women's running shoes: A consumer psychology perspective by Jie Zhang, Jun Yao, Hefan Hu, Xuecheng Zhao

“…Objective: This paper explores the rising trend of personalization in sports shoe manufacturing within Industry 4.0, focusing on the psychological aspects of color preferences. Methods: We utilized eye-tracking technology in two experiments to analyze consumer preferences for women's running shoes, examining 18 scenarios with three outsole types and six colorways. …”
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Crafting Unique Staycation Lodging Packages: Insights from Millennial Lifestyle Segmentation by Sherly Astuti, Marchela Indah Atrisia

“…Each cluster exhibited distinct characteristics and preferences among staycation travelers across various lifestyles. …”
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Using the three-way matrix for AHP-group decision-making by Elisa Fiorenza

“…In many situations, the decision is not up to a single person but involves multiple decision-makers with different preferences with respect to the various elements of the problem. …”
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Rats’ performance in a suboptimal choice procedure implemented in a natural-foraging analogue by Fernanda González-Barriga, Vladimir Orduña

“…Abstract Rats and pigeons have shown striking differences in their behavior in the suboptimal choice procedure: while pigeons show a strong and consistent preference for the discriminative alternative, most studies performed with rats have found optimal preferences, and in the cases in which suboptimal preferences have been reported, those results have not been replicated. …”
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Balancing E-Commerce Platform and Manufacturer Goals in Sustainable Supply Chains: The Impact of Eco-Friendly Private Labels by Zhiheng Liu, Xiangcheng Cui, Yuanyuan Ji

“…This paper analyzes how consumer preferences for eco-friendly private labels affect platform selling formats and manufacturer channel strategies. …”
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From personal benefits to green motives: consumer segments for targeted sustainability transitions in workplace canteens by Ragnhild Eg, Antje Gonera, Ida Synnøve Grini, Mads Erling Pedersen, Paula Varela

“…The study applied a mixed-methods approach to evaluate consumers’ attitudes, motives, and preferences within the canteen setting and with respect to the sustainability of food choices. …”
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Leveraging Deep Learning for Personalized Book Recommendations: A Big Data Algorithm Combining Capsule Networks and Attention Mechanisms by Jiali Liao, Tianxiang Li

“…This study addresses the limitations of existing book recommendation algorithms by proposing a novel Hybrid Book Recommendation Algorithm Considering Different Preferences (HBRACDP). Our approach integrates Capsule Networks and Self-Attention Mechanisms to model both short-term and long-term user borrowing preferences. …”
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I know better: Self-esteem, egocentrism, and policy learning in the liberalization of Belgian network industries by Stéphane Moyson

“…Policy learning is a key mechanism of policy change through which policy actors revise their beliefs and preferences over time as a result of social interactions and new information. …”
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“Doctor, I Want to Be Like This!”: Exploring Global Beauty Body Standards Through a Multicenter Survey by Damiano Tambasco, MD, Jordi Mir, MD, Alfredo Hoyos, MD, David Sieber, MD, Mauricio Viaro, MD, Jack Zamora, MD, Carlos Manfrim, MD, Edwin Zara, MD, Federica Tomaselli, MD, Christian Montes, MD, Miriam Isola, MD, Maria De Martino, MD, Pier Camillo Parodi, MD, Roberta Albanese, MD, Mario Mendanha, MD

“…We analyzed data from more than 4000 patients to obtain objective insights into contemporary aesthetic preferences. We examined the influence of globalization on beauty standards, the relationship between physical activity and desired body definitions, and regional preferences for specific body shapes. …”
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Hypergraph User Embeddings and Session Contrastive Learning for POI Recommendation by Yan Zhang, Bin Wang, Qian Zhang, Sulei Zhu, Yan Ma

“…The goal of this task is to mine users’ travel behavior preferences based on their historical check-in session sequences and recommend the next POI. …”
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Relationship between Learning Styles and Academic Performance in Medical Students at Jazan University, Kingdom of Saudi Arabia: A Cross-sectional Study by Mai Mohamed Elhassan Mustafa, Sami Alhazmi, Raum Abdu Hasan Ayoub, Sarah Jaber Mobarki, Reham Mousa Aljudayba, Imtenan Ali Oberi, Sarah Hassan Moafa, Yara Ajeebi, Lamyaa Ahmed Mohamed El Hassan, Salaheldin Elamin Abdalla Terair

“…Results: Participants learning preferences showed that 215 students (49.9%) preferred a combination of solitary and group learning, whereas 186 (43.2%) preferred solitary learning and only 30 (7%) preferred group learning. …”
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Adaptive Failure Identification for Healthcare Risk Analysis and Its Application on E-Healthcare by Kuo-Chung Chu, Lun-Ping Hung

“…To satisfy the requirement for diverse risk preferences, we propose a generic risk priority number (GRPN) function that assigns a risk weight to each parameter such that they represent individual organization/department/process preferences for the parameters. …”
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CONCEPTUAL LEVEL STRATEGY RECOMMENDATIONS FOR UNDERSTANDING MARKETING COMMUNICATION EFFORTS IN DIGITAL CONSUMPTION CULTURE WITH NEUROSCIENCE TECHNIQUE by Ferdi Akbıyık, Ömer Kürşad Tüfekci

“…The paper recommends the use of neuromarketing research methods, such as EEG, fMRI, and eye-tracking, to gain insights into consumer behavior and preferences. Besides, the paper also suggests the use of cross-cultural research methods to account for cultural differences in consumer behavior and preferences. …”
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A Network and Visual Quality Aware N-Screen Content Recommender System Using Joint Matrix Factorization by Farman Ullah, Ghulam Sarwar, Sungchang Lee

“…We propose, a recommender system that ensures a better visual quality on user’s N-screen devices and the efficient utilization of available access network bandwidth with user preferences. The proposed system estimates the available bandwidth and visual quality on users N-Screen devices and integrates it with users preferences and contents genre information to personalize his N-Screen content. …”
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Accurate multi-behavior sequence-aware recommendation via graph convolution networks. by Doyeon Kim, Saurav Tanwar, U Kang

“…These findings underscore the effectiveness of MBA in providing accurate and personalized recommendations tailored to individual user preferences.…”
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Are Highly Intelligent People More Likely to Tolerate Risk in China? Evidence from China Family Panel Studies by Jing Zhang, Haijian Liu, Jiaming Xu

“…Understanding the correlation between cognitive ability and risk preferences is crucial for promoting technological progress and innovation in China. …”
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Blockchain technology adoption strategies for the shipping costs bearer in the fresh product supply chain by Weisi Zhang, Lin Wu, Lulu Ji

“…The results indicate that: First, the 3PL’s profit is negatively correlated with the research and development (R&D) cost coefficient of carbon emission reduction (CER) and the deterioration rate of fresh products, while it is positively correlated with consumer low-carbon preferences. When the R&D cost coefficient of CER is high, or the deterioration rate of fresh products is low, or consumer low-carbon preferences are low, the 3PL prefers RCB model, otherwise SNB model. …”
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A long‐term study on food choices and nutritional goals of a leaf‐eating primate by Patrick Lauer, Colin A. Chapman, Patrick Omeja, Jessica M. Rothman, Urs Kalbitzer

“…The availability and spatial distribution varied across the most consumed foods, but red colobus preferences remained mostly stable over time. Protein‐to‐fiber ratio had no association with preference but with consumption frequencies of different young leaves. …”
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