Article
Multidisciplinary Sciences
Alberto Purpura, Dora Giorgianni, Graziella Orru, Giulia Melis, Giuseppe Sartori
Summary: This study evaluates the effectiveness of the term frequency-inverse document frequency (TF-IDF) model in identifying cheating responses in psychological tests and validates its performance through empirical research.
Article
Management
Will Ma
Summary: This study focuses on the dynamic fulfillment problem in e-commerce and proposes two improved schemes. These schemes aim to minimize the allocation of items to multiple fulfillment centers while satisfying frequency constraints, with results close to optimal. Numerical tests show that these schemes improve runtime, reduce code complexity, and significantly enhance performance in practical applications.
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
(2023)
Article
Psychology, Multidisciplinary
Shun Chen, Faith Liao, David Murphy, Stephen Joseph
Summary: The mini form of the Barrett-Lennard Relationship Inventory (B-L RI:mini) is a tool for measuring the facilitative conditions important for constructive personality development. By selecting 12 items with good discrimination, difficulty, information, and measurement invariance across different language versions, a new short scale was created. The study results showed that the B-L RI:mini has good internal consistency, temporal stability, and construct validity.
CURRENT PSYCHOLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Yu Su, Zeyu Cheng, Pengfei Luo, Jinze Wu, Lei Zhang, Qi Liu, Shijin Wang
Summary: Knowledge Tracing (KT) has always been challenging due to the latent and time-varying characteristics of knowledge states. Traditional psychometrical frameworks lack the ability to extract rich representations of exercises or examinees. In this paper, a new framework named TC-MIRT is proposed, which integrates parameters into an improved recurrent neural network and outperforms state-of-the-art KT approaches in performance prediction tasks.
KNOWLEDGE-BASED SYSTEMS
(2021)
Article
Metallurgy & Metallurgical Engineering
Dong-yong Wang, Xi Chen, Sheng-bin Jiang, Ji-lin Qi, Li-yun Peng
Summary: This paper introduces a penalty-based couple stress finite element method and studies its performance through numerical examples. The results show that this method has good performance in stress concentration analysis and strain localization analysis, and can effectively alleviate or eliminate the mesh-dependent problem in conventional finite element methods.
JOURNAL OF CENTRAL SOUTH UNIVERSITY
(2022)
Article
Psychology, Multidisciplinary
Walter P. Vispoel, Guanlan Xu, Wei S. Schneider
Summary: This article explores the applications of latent state-trait theory (LST) and generalizability theory (GT), highlighting their similarities and differences, and provides related analysis methods and materials.
PSYCHOLOGICAL METHODS
(2022)
Article
Computer Science, Artificial Intelligence
Raghu Yelugam, Leonardo Enzo Brito da Silva, Donald C. Wunsch II
Summary: This study combines the adaptive resonance theory (ART)-based methods of biclustering ARTMAP (BARTMAP) and topological ART (TopoART) to produce TopoBARTMAP, which improves the quality of biclustering and module extraction. The capabilities of TopoBARTMAP were benchmarked using 35 real world cancer datasets and showed a statistically significant improvement over other assessed methods. The method also performed better at identifying different types of biclusters and represented gene bicluster associations.
Article
Engineering, Industrial
Min Guo, Xiang T. R. Kong, Hing Kai Chan, Dimple R. Thadani
Summary: This study addresses the issue of inventory and scheduling decisions on a reusable transport item sharing platform. It proposes a machine learning and simulation optimization framework that improves profitability and inventory control capability.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Chemistry, Multidisciplinary
Venkata Swaroopa Datta Devulapalli, Ryan P. McDonnell, Jonathan P. Ruffley, Priyanka B. Shukla, Tian-Yi Luo, Mattheus L. De Souza, Prasenjit Das, Nathaniel L. Rosi, J. Karl Johnson, Eric Borguet
Summary: The interaction between ammonia and Zr MOFs was studied, revealing the binding mechanisms and stable adsorption properties.
Article
Engineering, Electrical & Electronic
Bernardo Tellini, Mauro Bologna, Kristopher J. Chandia, Massimo Macucci
Summary: The paper revisits the concept of memristors in circuit theory, starting from the definition of basic circuit elements and introducing the original formulation of the memristor concept. The article highlights ambiguities resulting from the nonrigorous use of the flux linkage concept. Furthermore, it discusses the application of memristor concept in electrophysiology and recent implementations, concluding that strict criteria for memristors may not be met in certain cases.
INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS
(2021)
Article
Psychology, Multidisciplinary
Mikkel Magnus Thorrisen, Talieh Sadeghi, Jannecke Wiers-Jenssen
Summary: Results for the N-TIPI showed comparable subscale rank order of means, standard deviations, and pattern of correlations between subscales, as well as inter-item correlations and Cronbach's alpha when compared with the original and non-English versions of TIPI. The 10 N-TIPI items were adequately reduced to five components, theoretically corresponding with the FFM personality domains.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Chemistry, Physical
Xiangyun Lei, Andrew J. Medford
Summary: Machine-learning force fields have limitations in scalability due to their use of element-specific features. This work introduces a new featurization scheme that utilizes Gaussian multipole expansions to generate feature vectors with fixed dimensions, regardless of the number of elements. The combination of this scheme with neural networks results in high computational efficiency and systematically improvable accuracy.
JOURNAL OF PHYSICAL CHEMISTRY LETTERS
(2022)
Article
Clinical Neurology
Yan Li, Chengjie Xiong, Andrew J. Aschenbrenner, Chih-Hung Chang, Michael W. Weiner, Rachel L. Nosheny, Dan Mungas, Randall J. Bateman, Jason Hassenstab, Krista L. Moulder, John C. Morris
Summary: The study utilized item response theory for evaluation and model development of the Clinical Dementia Rating (CDR), and validated the reliability of an automatic scoring algorithm. Results indicated that most CDR items discriminate well at mild levels of cognitive impairment. The shortened version of the CDR and the automatic scoring algorithm have established a solid foundation for the development of an electronic CDR.
ALZHEIMERS & DEMENTIA
(2021)
Article
Psychology, Mathematical
Po-Hsien Huang
Summary: This study develops a Python package called xifa which utilizes GPU-accelerated vectorized Metropolis-Hastings Robbins-Monro algorithm for item factor analysis (IFA) and demonstrates that GPU computing can significantly reduce computational time for large-scale IFA. Experimental results show that the GPU implementation of VMHRM can be 33 times faster than its CPU version and outperforms other algorithms in terms of speed.
BEHAVIOR RESEARCH METHODS
(2023)
Article
Management
Tor Schoenmeyr, Stephen C. Graves
Summary: In this paper, we explore how to coordinate a multiechelon supply chain in a decentralized setting using the GS framework. We find that the GS framework is well suited for decentralized decision making and propose a contract structure that facilitates coordination in such settings. Our research provides validation for the GS model and observed contracting practices.
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
(2022)