Article
Statistics & Probability
Yamin Sayyari, Mohammad Reza Molaei, Adel Mehrpooya
Summary: This paper addresses the problem of calculating entropy for complex systems and presents a solution by introducing three classes of information sources and approximating the rank variables. It is proven that the topological entropy of the product of two information sources is equal to the summation of their topological entropies.
JOURNAL OF APPLIED STATISTICS
(2023)
Article
Mathematics
Xiaolei Yang, Yongshan Liu, Jiabin Xie
Summary: The study used directed information flow method to conduct API test for all applications in the market, then built a data leakage risk assessment model using fusion information entropy and Markov chain algorithm. The results showed that tablet computers have the largest entropy in data leakage risk, followed by bracelets and mobile phones.
Letter
Medicine, General & Internal
Adam Dean, Jamie McCallum, Atheendar Venkataramani, David Michaels
Summary: This cross-sectional study examines the association between labor unions and health care staff turnover in the US using data from 2021.
Article
Computer Science, Software Engineering
Karl Werder, Ye Li, Alexander Maedche, Balasubramaniam Ramesh
Summary: Software development process ambidexterity (SDPA) is the ability to demonstrate both process alignment and process adaptability simultaneously, and the effects of SDPA on project performance are mediated by coordination costs and coordination effectiveness in software development projects.
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING
(2021)
Article
Economics
Adeola Oyenubi, Martin Wittenberg
Summary: This paper examines the performance of various balance measures in optimizing balance in matching estimators. Through simulation studies, it is found that different balance measures do affect matching estimates, with varying levels of bias and RMSE across different simulations. The results suggest that the choice of balance measure should be carefully considered in empirical studies.
EMPIRICAL ECONOMICS
(2021)
Article
Computer Science, Information Systems
Narayan Ramasubbu, Indranil R. Bardhan
Summary: This study examines the causal impacts of an organizational policy that grants higher levels of autonomy to project teams, finding that it can lead to performance-enhancing adaptations through agile reconfigurations of project operations. Results from a policy experiment at a commercial software firm support the hypothesis that greater autonomy for software teams in designing context-specific project configurations can improve project performance.
Article
Physics, Multidisciplinary
Anurag Anshu, Srinivasan Arunachalam, Tomotaka Kuwahara, Mehdi Soleimanifar
Summary: This research demonstrates that learning the Hamiltonian of a quantum system only requires a polynomial number of local measurements. By establishing the strong convexity of the absolute value of finite-temperature free energy with respect to interaction coefficients in quantum many-body systems, the study provides a theoretical foundation for applying machine learning techniques to quantum Hamiltonian learning.
Article
Mathematics
Adekunle Ajibode, Ting Shu, Laghari Gulsher, Zuohua Ding
Summary: This paper explores the combination of risk evaluation metrics for precise fault localization in spectrum-based fault localization (SBFL). Through extensive experiments, it is found that combining risk evaluation metrics with high negative correlation values can improve the effectiveness of fault localization. It is also discovered that combining positively correlated effective risk evaluation metrics may not improve fault localization effectiveness, and low-correlated risk evaluation metrics should also be considered.
Article
Geriatrics & Gerontology
Qing Zheng, Christianna S. Williams, Evan T. Shulman, Alan J. White
Summary: This study used auditable staffing data to examine the relationship between staff turnover and nursing home quality. The results showed that higher turnover rates were consistently associated with lower quality of care. The study suggests that measures should be taken to retain staff in order to improve the quality of care for nursing home residents.
JOURNAL OF THE AMERICAN GERIATRICS SOCIETY
(2022)
Article
Computer Science, Theory & Methods
Ying Liu, Ting Zhi, Ming Shen, Lu Wang, Yikun Li, Ming Wan
Summary: This paper proposes a two-level DDoS attack detection method based on information entropy and deep learning to effectively detect attack traffic in the SDN environment.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2022)
Article
Computer Science, Information Systems
Jianhao Zhang, Xiaoning Shen, Chengbin Yao
Summary: Human relationships play a significant role in the software development process, yet they are rarely considered in software project scheduling. This study proposes a new mathematical model that incorporates team relationships by introducing communication cost factors and a mechanism for selecting external employees. By utilizing an improved discrete evolutionary algorithm and enhanced local search strategy, the scheduling performance of software projects can be effectively optimized.
Article
Physics, Multidisciplinary
Iulia-Elena Hirica, Cristina-Liliana Pripoae, Gabriel-Teodor Pripoae, Vasile Preda
Summary: A large family of new alpha-weighted group entropy functionals is defined and associated Fisher-like metrics are considered. The main result of the paper establishes a link between such a metric and a canonical one. We recover a recent result for the case of non-weighted relative group entropies.
Article
Mathematics
Xingyuan Chen, Yong Deng
Summary: The study introduces a data-driven software risk assessment model named DDERM, which transforms experts' risk assessments into basic probability assignments using Deng entropy and Dempster-Shafer evidence theory, to determine risk priority. The effectiveness of this method is demonstrated through a case application.
Article
Automation & Control Systems
Rishi Sonthalia, Anna C. Gilbert
Summary: This paper introduces a method called "PROJECT AND FORGET" for solving highly constrained convex optimization problems. The authors provide a theoretical analysis and demonstrate through experiments that this method converges to the global optimal solution with a linear rate of convergence.
JOURNAL OF MACHINE LEARNING RESEARCH
(2022)
Article
Astronomy & Astrophysics
Ming-Hui Yu, Xian-Hui Ge
Summary: The Fabbri-Russo model is a generalized model of a two-dimensional dilaton gravity theory, where Page curves and entanglement islands are investigated. The emergence of islands in any black hole causes the deceleration of the entanglement entropy of radiation after the Page time, satisfying the principle of unitarity. The shape of Page curves is independent of the parameter n in the leading order, indicating universality in generalized two-dimensional models. The island is proposed as a better solution than firewalls for the quantum entanglement-monogamy problem.