Investigating the Social Boundaries of Fairness by Modeling Ultimatum Game Responders’ Decisions with Multinomial Processing Tree Models by Marco Biella, Max Hennig, Laura Oswald

“…The MPT models we developed and validated allowed us to separate three individual processes driving responses in the standard and Third-Party Ultimatum Game. …”
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Health status analysis of blood donors: based on the ordinal multinomial logistic regression model by FENG Fanfan, XIE Guiyun, DENG Xuecheng, OUYANG Jian, CHEN Chong, HONG Xiaochun, ZENG Sihai, ZHANG Yue, HUANG Manyu, CHEN Jinyan, RONG Xia, LI Shijie

“…The results of the ordinal multinomial logistic regression model showed that exercise level was significantly negatively correlated with the degree of depression and anxiety among blood donors. …”
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Multinomial logistic regression algorithm for the classification of patients with parkinsonisms by Eva Štokelj, Tomaž Rus, Jan Jamšek, Maja Trošt, Urban Simončič

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Delays reduce culprit-presence detection but do not affect guessing-based selection in response to lineups by Amelie Therre, Raoul Bell, Nicola Marie Menne, Carolin Mayer, Ulla Lichtenhagen, Axel Buchner

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MULTINOMIAL LOGISTIC REGRESSION MODEL USING MAXIMUM LIKELIHOOD APPROACH AND BAYES METHOD ON INDONESIA'S ECONOMIC GROWTH PRE TO POST COVID-19 PANDEMIC by Arie Purwanto, Muhammad Aziz Suprayogi, Erwan Setiawan, Joao Ferreira Rendes Bean Loly, Gusti Arviana Rahman, Anang Kurnia

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PREDICTIVE DISTRIBUTION TO DETERMINE LEARNING MODEL AT THE STRATEGIC COMPETENCE LEVEL OF STUDENTS IN STATISTICS GROUP COURSE by Mokhammad Ridwan Yudhanegara, Karunia Eka Lestari

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A Study on the Dynamic Relationship between Embodied Carbon Productivity and Embodied Value Added in China’s Industrial Sectors: An Empirical Analysis Based on the Decoupling Model... by Lei WANG, Jianbo HU, Zhipeng LUO

“…Based on the decoupling theory, this paper analyzes the relationship between the embodied carbon productivity and the embodied value added in China’s industrial sectors, evaluates the development mode of the sectors, and explores a reasonable path to promote the green and low-carbon transformation of the sectors based on the panel multinomial logit model. The empirical conclusions are as follows: (i) Except for the decrease in 2002–2005, the embodied carbon productivity achieved rapid growth in other time periods; during the period of 2002–2020, the embodied value added increased by 339.59 percentage points, with an average annual growth rate of 8.57%, and the embodied carbon productivity increased by 70.59 percentage points, with an average annual growth rate of 3.01%. …”
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Selecting learning partners: memory for participation and competence by Oktay Ülker, Daniel Bodemer

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Consumers’ response to genetically modified food: an Italian case study by Federica DeMaria, Simona Romeo Lironcurti, Federica Morandi, Alessandra Pesce, Laura Gazza, Francesca Nocente

“…Through data collected from an original survey (N = 564), we tested a) their level of knowledge of GM techniques; b) if they are aware of differences between established techniques based on classical approaches of crossing and selection and more precise biotechnological techniques; c) their propensity to buy GM food, with a specific focus on food safety and environmental sustainability issues. By using a Multinomial Logit Model (MNL), starting from three hypotheses, the study highlights a gap in knowledge transfer and, in general, the communication process. …”
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Maximum Approximated Likelihood Estimation in Generalized Linear Multilevel Model for Nominal Response with Covariates Subject to Measurement Error by Maryam Ahangari, Mousa Golalizadeh, Zahra Rezaei Ghahroodi

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Microspatial Heterogeneities and the Absence of Postmortem Contamination in Alzheimer’s Disease Brain Microbiota: An Alzheimer’s Pathobiome Initiative (AlzPI) Study by Myat N. Thwe, Yves Moné, Bhaswati Sen, Samuel Czerski, Ahmed Azad, Joshua P. Earl, Donald C. Hall, Garth D. Ehrlich

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Opinion mining using ensemble model for restaurant feedback analysis by Rohan S. Kamath, M. R. Kaushik, M. Ramakrishna

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UNVEILING FAKE NEWS DETECTION MODELS AND THEIR INTEGRATION INTO WEB SYSTEMS: AN EXTENSIVE INVESTIGATION by Vimal Gaur, Naman Veerwal, Ujjwal Chaudhary, Sparsh Kadian

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Sentiment Analysis of Product Reviews Using Fine-Tuned LLaMa-3 Model: Evaluation with Comprehensive Benchmark Metrics by Wang Yili

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MDEU-Net: Medical Image Segmentation Network Based on Multi-Head Multi-Scale Cross-Axis by Shengxian Yan, Yuyang Lei, Jing Zhang, Xiao Gao, Xiang Li, Penghui Wang, Hui Cao

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Remote sensing of rice leaf folder damage using ground-based hyperspectral radiometry by Mathyam Prabhakar, Ch Padmavathi, Merugu Thirupathi, Srasvan Kumar Golla, Uppu Sai Sravan, G. Ramachandra Rao, Madduri Kalpana, Vallabuni Sailaja, Pebbeti Chandana, Yenumula G. Prasad, M. Srinivasa Rao, V.K. Singh, Rajbir Singh

“…The spectral data was interpolated using ASD ViewSpecPro software in the post-processing to produce values at each nanometer. Multinomial logistic regression analysis (MLR) was performed to identify the sensitive bands (396, 675, 764, 1123 and 1458 nm) specific to leaf folder damage. …”
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Linear Processes in Stochastic Population Dynamics: Theory and Application to Insect Development by Hernán G. Solari, Mario A. Natiello

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Clinical XLNet-based End-to-End Knowledge Discovery on Clinical Text Data using Natural Language Processing by Naveen S. Pagad, Pradeep Nijalingappa, Tulika Chakrabarti, Prasun Chakrabarti, Pugazhenthan Thangaraju

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Modeling enterprise location choice decision behavior by Nguyen Cao Y

“…A modeling framework is developed to analyze decisions regarding location choice for enterprises using a series of discrete choice models including multinomial logit without any urban spatial effects, multinomial logit incorporating urban spatial effects, and mixed logit incorporating urban spatial effects. …”
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Bayesian Assessment of Corrosion-Related Failures in Steel Pipelines by Fabrizio Ruggeri, Enrico Cagno, Franco Caron, Mauro Mancini, Antonio Pievatolo

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