Precise Dissemination of E-Commerce Information and Behavior of Social Media Users by Yun Zhang

“…In order to solve the problem that the e-commerce system provides users with more and more choice information, it makes it difficult for users to find the desired products in a large amount of product information, and a research method for accurate dissemination of e-commerce information and behavior of social media users has been proposed. In order to improve the individual sales method of merchants, a method of multiangle analysis of data is proposed by clustering algorithm and classification algorithm. …”
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Entrepreneurial Behavior among University Students: Empirical Evidence from Pakistan by Syed Ahmad Hashmi, Shamila Nabi Khan

“… Interdependent relationships among various psychological factors are instrumental in shaping university students’ general behavior toward entrepreneurship. Our study explored these relationships and their contingent and moderating effects through various factors, such as need for achievement, selfcontrol, and relational support, and how they influence entrepreneurial behavior, given the presence of variables like entrepreneurial intention, creativity, entrepreneurial self-efficacy, educational support, and personal attitudes. …”
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The Behavior of Sufi Adherents on Social Media and Their Interactions With Non-Sufi Muslims by Ridwan Olamilekan Mustapha

“…Utilizing a descriptive research design, data were collected through a Google Form questionnaire and analyzed using frequency counts and percentages. …”
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A general approach for predicting the behavior of the Supreme Court of the United States. by Daniel Martin Katz, Michael J Bommarito, Josh Blackman

“…To do so, we develop a time-evolving random forest classifier that leverages unique feature engineering to predict more than 240,000 justice votes and 28,000 cases outcomes over nearly two centuries (1816-2015). Using only data available prior to decision, our model outperforms null (baseline) models at both the justice and case level under both parametric and non-parametric tests. …”
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Afobazole inhibits ethanol-induced behavioral sensitization in DBA/2 mice by A. V. Nadorova, L. G. Kolik

“…Afobazole at a dose of 10.0 mg/kg, but not 1.0 mg/kg after acute administration prevented the development of ethanol-induced (2.0 g/kg, i.p.) hyperlocomotion, like naloxone 1.0 mg/kg, i.p., and antagonized ethanol-induced behavioral sensitization. Conclusion. Thus, the data obtained suggest that afobazole is capable of modeling the motivational effects of ethanol.…”
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Describing innovative behavior among undergraduate students based on demographic characteristics by Weeraphol Saengpanya, Ratchaneekorn Upasen, Somkiat Kaewkohsaba

“…These findings may be used as the primary data for educators and educational psychologist to develop strategies to enhance undergraduate students’ INB.…”
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First quantitative evidence of territorial behavior in squid near spawning substrates by Shun Tokioka, Jun Yamamoto, John R. Bower, Hajime Matsui, Satoshi Suzuki, Yasunori Sakurai

“…To our knowledge, this is the first report of territorial behavior in a squid using quantitative data.…”
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Optimizing a Bayesian Method for Estimating the Hurst Exponent in Behavioral Sciences by Madhur Mangalam, Taylor J. Wilson, Joel H. Sommerfeld, Aaron D. Likens

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User authentication of industrial internet based on HHT transform of mouse behavior by Yigong ZHANG, Qian YI, Jian LI, Congbo LI, Aijun YIN, Shuping YI

“…The rapid development of the industrial internet had caused widespread concern about the network security, and the end-user authentication technology was considered a research hotspot.According to the characteristics of human-computer interaction in industrial internet, an experimental website was designed.24 users' mouse behavior data in an uncontrolled environment were collected within 2.5 years to conduct case studies.Hilbert-Huang transform (HHT) was used to extract frequency domain features of mouse behavior signals, combined with time domain features to form a time-frequency joint domain feature matrix of 163-dimensional to characterize user mouse behavior patterns.Bagged tree, support vector machine (SVM), Boost tree and K-nearest neighbor (KNN) were used to build a user authentication model， and the comparison result showed that the Bagged tree had the best internal detection effect in this case, with an average false acceptance rate (FAR) of 0.12% and an average false rejection rate (FRR) of 0.28%.In external detection, the FAR was 1.47%.Compared with the traditional mouse dynamics method, the frequency domain information of mouse behavior extracted by HHT can better realize the user authentication, and provide technical support the security of the industrial internet.…”
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Risk behavior for obesity: a conceptual analysis according to Walker and Avant by Vinícius Rodrigues de Oliveira, Amanda Soares, Allyne Fortes Vitor, Maria Isabel da Conceição Dias Fernandes, Francisca Marta de Lima Costa Souza, Jonas Sâmi Albuquerque de Oliveira

“…ABSTRACT Objective: To analyze the concept of risk behavior for obesity using the Walker and Avant method. …”
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COVID-19 preventive behavior of the community in Southeast Sulawesi Province, Indonesia by Irnaningsih Irnaningsih, Asriati Asriati, Ramadhan Tosepu

“…The study was conducted from 29 December 2020 until 28 February 2021. Data were collected using a validated questionnaire and analyzed using binary logistic regression. …”
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Influence of the emotional state on behavior in extreme conditions of competitive sports activities by V.A. Malakhov, Ya.I. Puhach, A.M. Serebrjakov, A.F. Bakanova, V.A. Druz

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A Study on the Impact of Agile Leadership and Innovative Behaviors on Psychological Empowerment by Vildan Bayram, Mesut Öztırak

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Relationships between problematic binge-watching behavior with psychological and social states by Yasemin Özkent, Yunus Akdoğan

“…Results The findings revealed significant positive correlations between binge-watching behavior and various psychological and social factors. …”
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IMPACT OF ECONOMIC POLICY UNCERTAINTY ON HERD BEHAVIOR IN CHINA STOCK MARKET by Lu Wei, Zamri Ahmad

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A Trick Called “Eco”: An Analysis of the Antecedents of Eco-Friendly Behavior by Yu Jin Chang, Jae Wook Yoo

“…The results of analyzing the data of 306 respondents in the online survey in the third quarter of 2023 using structural equation modeling (SPSS 26.0, Amos 23.0) are as follows: The path of greenwashing awareness to green purchase intention through green trust and green word-of-mouth intention was significant. …”
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Sound Velocities in Vanadium Reveal Complex Elastic Behavior at High Pressures by Brian Gulick, Xintong Qi, Ran Wang, Baosheng Li

“…Complex softening behavior in V_S and resulting shear moduli are discovered, possibly revealing a precursor to the reported phase transition within 30–60 GPa. …”
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Exploring behavioral determinants of residents’ ecological conservation in rural tourism development by Xizhou Tian, Yiling Jiang

“…Based on data from 331 valid responses collected through a questionnaire survey, structural equation model (SEM) was performed using SPSS and AMOS to analyze ecological conservation behavior. …”
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Steam-Jet Evaluation for Predicting Leakage Behavior and Interpretation of Experimental Verification by Dae Kyung Choi, Won Man Park, Woo-Shik Kim, Dong-Jin Euh, Tae-Soon Kwon, Choengryul Choi

“…Notably, compared to the existing evaluation method, the proposed approach simulated a more detailed behavior of the jet formed at the leakage point. In future research, the results of this study (data) will be used to inform the design of the second phase of the leak-capture system and will be served as the foundation for a performance-optimization study on the capture system.…”
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Guilt Aversion and the Financial Behavior of Individuals: The Moderating Role of Ethical Ideologies by Mahsa Esmaeili, Alireza Fazlzadeh, Vahid Ahmadian, Sajad Nagdi

“…A combination of active observation and questionnaire methods was employed to collect data. The results suggest that while guilt aversion does not significantly impact individuals’ financial behavior, ethical ideologies moderate the relationship between guilt aversion and financial behavior.…”
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