Article
Computer Science, Interdisciplinary Applications
Andrew Ian Duff, Ridwan Sakidja, Helen C. Walker, Russell A. Ewings, David Voneshen
Summary: This Python workflow automates the development of interatomic potentials using density functional theory (DFT) fitting data calculation, potential optimization, and potential-driven molecular dynamics (MD) simulations. It supports different software tools for computation and optimization, and automatically generates plots and tables of the computed data.
COMPUTER PHYSICS COMMUNICATIONS
(2023)
Article
Psychology, Applied
James G. Matusik, Emily C. Poulton, D. Lance Ferris, Russell E. Johnson, Jessica B. Rodell
Summary: This study creates and validates a reliable scale to measure the four forms of organizational support. The findings suggest that these different forms of support have differential effects on the dimensions of job burnout, and contribute to applied psychology and organizational support research both empirically and theoretically.
JOURNAL OF APPLIED PSYCHOLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Nana Liu, Zeshui Xu
Summary: The ARAS method is proposed to efficiently solve MADM problems and eliminate the influence of different measurement units. It has received extensive attention and been extended to different information environments and application fields.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
(2021)
Article
Business
Chong Chen, Daojuan Wang, Beibei Wang
Summary: This paper explores the contextual factors involved in the development and application of paradigmatic theories, with a focus on the application and development of Agency Theory in the Chinese context. The findings indicate that contextual factors play a critical role in applying and developing paradigmatic theories, and that the Chinese context requires special attention. The paper also proposes a conflict coefficient model for measuring and comparing agency conflicts in different scenarios.
INTERNATIONAL JOURNAL OF EMERGING MARKETS
(2023)
Article
Nursing
Jill Byrne, Susan M. Ludington-Hoe
Summary: The Theory of Heat Stress Management is developed to raise awareness of the impact of heat stress on healthcare personnel wearing personal protective equipment. It aims to enhance nursing practice, support new standards of care, and promote further research in the field.
JOURNAL OF ADVANCED NURSING
(2021)
Article
Engineering, Industrial
Mahesh Gupta, Abhijeet Digalwar, Ajay Gupta, Animesh Goyal
Summary: This paper presents an integrated framework that combines the strengths of three relevant business excellence philosophies: Theory of Constraints, Lean, and Six Sigma (TLS). By employing a growth-oriented mindset, global measurements, and an integrated continuous improvement methodology, the framework enhances a firm's TLS Orientation. The paper discusses how a small-to-medium enterprise in India implemented the framework and improved its business excellence and financial performance.
PRODUCTION PLANNING & CONTROL
(2022)
Article
Economics
Gabriel Tilg, Lukas Ambuehl, Sergio Batista, Monica Menendez, Fritz Busch
Summary: A framework based on VT has been developed to consider source terms and spillbacks at the network level, modeling complex traffic situations and fitting well with microscopic simulation results, albeit with significantly lower computational costs.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2021)
Article
Computer Science, Theory & Methods
Jan Stoklasa, Pasi Luukka, Mikael Collan
Summary: This paper presents a new possibilistic method for real option valuation, derived using a transformation and proven to be consistent with financial theory. It is compared with the original method and a previously presented probabilistic variant, with fast computation formulae provided for the new variant in all use-cases. The new method is illustrated with numerical examples, including Research and Development investment analysis.
FUZZY SETS AND SYSTEMS
(2021)
Article
Polymer Science
Muhammad Saleem, Ali Rizwan
Summary: This article introduces a simple and robust method for classifying soft magnetic materials using multivariate statistics. The study found that coercive magnetic field and Curie temperature are the most and least important characteristics for classification. Cluster analysis and principal component analysis were proven effective for classifying soft magnetic materials.
Article
Green & Sustainable Science & Technology
Ilker Kilic, Mert Gurlek
Summary: This study aimed to conceptualize and develop a scale for green influencer marketing (GIM). Through qualitative and quantitative studies, the researchers conceptualized GIM and developed a scale with 2 dimensions and 8 items. The results showed that environmentally friendly product-oriented influence and environmental sustainability-oriented influence significantly predicted behavioral intention towards green tourism products.
JOURNAL OF SUSTAINABLE TOURISM
(2023)
Review
Radiology, Nuclear Medicine & Medical Imaging
Paul L. L. Carson
Summary: This article provides a brief overview of the author's work in ultrasound imaging and therapy, as well as the role of this journal in these fields.
Article
Chemistry, Physical
Thais R. Scott, Meagan S. Oakley, Matthew R. Hermes, Andrew M. Sand, Roland Lindh, Donald G. Truhlar, Laura Gagliardi
Summary: Density fitting reduces computational cost by avoiding computation and manipulation of four-index electron repulsion integrals, allowing efficient optimization of large systems. The new approach increases computation speed with negligible loss in accuracy, while smaller grid sizes further reduce costs with minimal impact on optimized geometries and gradient values.
JOURNAL OF CHEMICAL PHYSICS
(2021)
Article
Engineering, Environmental
Hana Atallah Al-asad, Janna Parniske, Jueying Qian, Jens Alex, Sreenivasan Ramaswami, Korbinian Kaetzl, Tobias Morck
Summary: This study presents a mathematical method to describe the removal of organic micropollutants and dissolved organic carbon from wastewater using powdered activated carbon. The developed model can predict the adsorption behavior of organic pollutants and simulate the process under different operating conditions.
Article
Engineering, Chemical
Dandan Hong, Yu Liu, Honglai Liu, Ying Hu
Summary: Classical density functional theory (CDFT) is a useful theory, but extending it to nonspherical molecules is challenging due to molecular orientation, leading to more complex models and higher computational costs. The proposed dual-model classical density functional theory (DM-CDFT) addresses this issue using a precise model (all-atom model) and a simpler model (coarsening model) to handle orientation effects with low computational costs. The theory is validated by its application to gas adsorption in porous materials, demonstrating accurate predictions of adsorption isotherms and the importance of rotation entropy in adsorption of nonspherical molecules.
Article
Multidisciplinary Sciences
Muhammad Saeed, Muhammad Haris Saeed, Rimsha Shafaqat, Salvatore Sessa, Umar Ishtiaq, Ferdinando di Martino
Summary: This paper introduces a new data model, CPFS, which can handle uncertainty in data more accurately, and applies it to disease diagnostic decision-making problems.
