Article
Computer Science, Information Systems
Sofian Kassaymeh, Salwani Abdullah, Mohammed Azmi Al-Betar, Mohammed Alweshah
Summary: This paper proposes a combination of the salp swarm algorithm and backpropagation neural network to solve the software fault prediction problem. The proposed method, SSA-BPNN, outperforms the conventional BPNN and state-of-the-art methods in terms of prediction accuracy on various datasets.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Public, Environmental & Occupational Health
Stephane Verguet, Sarah Bolongaita, Anthony Morgan, Nandita Perumal, Christopher R. Sudfeld, Aisha K. Yousafzai, Guenther Fink
Summary: Early childhood development is crucial for education, labor market outcomes, and overall well-being. However, there is currently no standardized framework to compare the relative cost-effectiveness of interventions that promote early childhood development. This study presents an economic evaluation framework that allows for direct value-for-money comparison of interventions across different settings. The findings suggest that cost-effectiveness rankings are largely influenced by implementation costs, and interventions with lower implementation costs tend to have higher value for money.
Article
Engineering, Geological
Ngurah Beni Setiawan, Robert W. Zimmerman
Summary: Borehole breakout initiation, progression, and stabilization are modeled using a semi-analytical method. The study finds that the stress evolution around the flank of the breakout helps explain why the breakout width remains relatively constant during the process. The simulation results are validated with experimental data and correlations between breakout geometry, rock strength properties, and in situ stress are established. The paper concludes with a critical discussion on inferring the in situ stress state from observed breakout geometries.
ROCK MECHANICS AND ROCK ENGINEERING
(2022)
Article
Computer Science, Hardware & Architecture
Juan Pablo Garcia-Martin, Antonio Torralba
Summary: This paper presents a comprehensive power consumption model for battery lifetime estimation in narrowband IoT (NB-IoT). The model is based on the user equipment (UE) state diagram and considers the extended discontinuous reception (eDRX) and power saving mode (PSM) mechanisms. Simulation results show that the selection of link parameters is crucial in achieving a battery lifetime of more than a decade.
Article
Engineering, Multidisciplinary
Chunlei Song, Xiaoliang Jin
Summary: This paper presents an analytical prediction method for CFRP chip formation mode based on stress state, and validates the prediction results through orthogonal cutting experiments.
COMPOSITES PART B-ENGINEERING
(2022)
Article
Chemistry, Physical
Qingzhao Chu, Chenguang Wang, Dongping Chen
Summary: We propose a neural network-based model to construct the potential energy surface of soot formation and investigate the critical process of PAH radical inception through molecular dynamics simulations. The results show that physical interaction enhances chemical inception and this enhancement is observed in clusters of pi- and sigma-radicals.
Article
Engineering, Mechanical
Stefan Henning, Lena Zentner
Summary: This paper explores the deflection analysis of compliant mechanisms commonly used in precision engineering, integrating theories of shear and lateral contraction into existing bending theory for specific sections of continuous compliant mechanisms. A comprehensive tool developed in Python for analyzing and synthesizing compliant mechanisms is introduced.
MECHANISM AND MACHINE THEORY
(2021)
Article
Chemistry, Multidisciplinary
Mili Turic, Stipe Celar, Srdjana Dragicevic, Linda Vickovic
Summary: This paper describes the process of building a Bayesian network model for effort prediction in agile development and aims to bring the implementation and use of Bayesian networks for effort prediction closer to the practitioners. The process consists of two phases: constructing and validating a Bayesian network model in the first phase, and developing and testing an advanced model in the second phase. The advanced model aims to increase the number of output intervals while maintaining satisfactory accuracy.
APPLIED SCIENCES-BASEL
(2023)
Article
Medicine, General & Internal
Melyda, Soehartati Gondhowiardjo, Louise J. Jackson, Raymond Oppong
Summary: This study aims to forecast the human resources and facilities required for cancer control in Indonesia over an 11-year period, and reveals the challenges and costs of achieving universal health coverage and sustainable development goals.
Article
Computer Science, Artificial Intelligence
Jian Qu, Xiaobo Ma, Wenmao Liu
Summary: The Domain Name System (DNS) is vital for internet services, but it is unclear whether DNS queries come from humans or software entities. This study develops an entropy-based method to distinguish between human and non-human queries and proposes a semi-supervised solution to detect and estimate software entities in networks. The solution is NAT-compatible and capable of detecting unknown software entities.
KNOWLEDGE-BASED SYSTEMS
(2023)
Article
Automation & Control Systems
Pengchao Li, Chengxin Wang, Lingqi Zeng, Haibo Liu, Yongqing Wang
Summary: In this paper, the suppression mechanism of interface constraint on Poisson burr is analyzed, and an analytical model for predicting the size of Poisson burr with interface constraint is established. The model can predict the height and thickness of the Poisson burr, and it is verified by the finite element method and experiment. The inhibition effects of interface constraint on the Poisson burr under different workpiece strengths, cutting depths, cutting widths, tool rake angles, and constraint strengths are compared.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Mathematical & Computational Biology
Christopher D. Bertram, Bernard O. Ikhimwin, Charlie Macaskill
Summary: The majority of lymphatic valves tend to form near vessel junctions due to disturbed flow leading to accumulation of transcription factors, which initiate valvogenesis. However, experiments show that under certain flow conditions, flow at vessel junctions is not disturbed, and the concentration of Prox1 transcription factor is not significantly correlated with shear stress.
MATHEMATICAL BIOSCIENCES AND ENGINEERING
(2021)
Article
Engineering, Electrical & Electronic
Lucia Clavero Ordonez, Alberto Delgado Exposito, Pedro Alou Cervera, Miroljub Bakic, Thiwanka Wijekoon
Summary: The exploitation of PCB integrated magnetic components in the high power field brings new challenges. In this work, a thermal modeling approach is proposed for optimization based design of planar PCB magnetic components. The results show high accuracy and low computation time compared to finite element simulations. The model has been verified with finite element simulations and experimental measurements for a wide range of operating conditions.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Article
Chemistry, Physical
Michele Lanzetta, Armin Gharibi, Marco Picchi Scardaoni, Claudia Vivaldi
Summary: This paper examines the modeling of incipient cutting using three different Finite Element Methods (FEMs), comparing experimental results on varying materials and providing an analytical model to predict the shape of the incipient chip. The main scientific merit lies in approaching the very early phase of cutting tool penetration for new sustainable machining processes, theoretically, numerically, and experimentally.
Letter
Multidisciplinary Sciences
Lei Liu
Summary: This is a letter to the editor.
Article
Computer Science, Information Systems
Yingda Lu, Param Vir Singh, Baohong Sun
Article
Engineering, Manufacturing
Elina H. Hwang, David Krackhardt
PRODUCTION AND OPERATIONS MANAGEMENT
(2020)
Article
Business
Shunyuan Zhang, Nitin Mehta, Param Vir Singh, Kannan Srinivasan
Summary: The study found that Airbnb's smart-pricing algorithm decreased the revenue gap between White and Black hosts to some extent, but may have increased the overall revenue disparity. The algorithm's race blindness could result in suboptimal pricing, especially for Black hosts. Factors such as the lower adoption rate among Black hosts limit the effectiveness of the algorithm in mitigating racial economic disparities.
Article
Management
Shunyuan Zhang, Dokyun Lee, Param Vir Singh, Kannan Srinivasan
Summary: The study reveals an increase in Airbnb property occupancy after the acquisition of verified images, indicating the importance of good images in boosting property demand. By analyzing various image attributes, differences between verified and unverified images were identified, offering insights for Airbnb photographers and hosts on image optimization.
MANAGEMENT SCIENCE
(2022)
Article
Management
Nikhil Malik, Manmohan Aseri, Param Vir Singh, Kannan Srinivasan
Summary: This article examines the scalability issue of Bitcoin and concludes that increasing block capacity is not a viable solution. The study reveals the possibility of collusion among miners, who strategically partially fill blocks to reverse the capacity and gain economic benefits. It also suggests that protocol design intervention can eliminate collusion but at the expense of system security. The article highlights the economic limits of Bitcoin's scalability and argues against including different types of payments on a single chain.
MANAGEMENT SCIENCE
(2022)
Article
Management
Runshan Fu, Manmohan Aseri, ParamVir Singh, Kannan Srinivasan
Summary: This paper discusses the importance and challenges of fair machine learning algorithms, as well as the impact of current laws and potential legal modifications on algorithmic decision making.
MANAGEMENT SCIENCE
(2022)
Article
Business
Shunyuan Zhang, Dokyun Lee, Param Singh, Tridas Mukhopadhyay
Summary: The authors examine the impact of ride-sharing services on the demand for home-sharing services. They find that the exit of Uber/Lyft in Austin led to a decrease in Airbnb occupancy and a decrease in the nightly rate and supply. The study also reveals that demand decreased for Airbnb properties with poor access to public transportation and increased for high-end hotels. The findings highlight the importance of accessible transportation for the success of home-sharing services in residential areas.
JOURNAL OF MARKETING RESEARCH
(2022)
Article
Management
Qiaochu Wang, Yan Huang, Stefanus Jasin, Param Vir Singh
Summary: This paper examines whether firms that use machine learning algorithms in decision-making should make their algorithms transparent to the users. The study finds that in certain cases, transparency can benefit the firms, but users may not always be better off under algorithmic transparency. Therefore, firms should leverage algorithmic transparency to motivate users to invest in more desirable features.
MANAGEMENT SCIENCE
(2023)
Article
Information Science & Library Science
Nikhil Malik, Param Vir Singh, Kannan Srinivasan
Summary: This study compares the career outcomes of MBA graduates with attractive and plain looking faces. The findings show that attractive MBA graduates are more likely to hold desirable jobs and earn higher salaries 15 years after obtaining their MBA degree. The research also reveals a significant attractiveness premium for the most attractive graduates, particularly in the arts and managerial roles or industries. This premium persists over time and is accumulated over a decade.
INFORMATION SYSTEMS RESEARCH
(2023)
Article
Information Science & Library Science
Runshan Fu, Yan Huang, Param Vir Singh
Summary: Machine learning algorithms outperform crowd investors in predicting default probability of loans, especially for high-risk listings. Utilizing machine for investment decisions leads to higher returns for investors and increased funding opportunities for borrowers. Despite potential biases, debiased ML algorithms still improve crowd's investment decisions and help fulfill financial access promise for underserved individuals.
INFORMATION SYSTEMS RESEARCH
(2021)
Article
Information Science & Library Science
Vilma Todri, Anindya Ghose, Param Vir Singh
INFORMATION SYSTEMS RESEARCH
(2020)
Article
Information Science & Library Science
Elina H. Hwang, Param Vir Singh, Linda Argote
INFORMATION SYSTEMS RESEARCH
(2019)
Article
Information Science & Library Science
Shunyuan Zhang, Param Vir Singh, Anindya Ghose
INFORMATION SYSTEMS RESEARCH
(2019)
Article
Information Science & Library Science
Quan Wang, Beibei Li, Param Vir Singh
INFORMATION SYSTEMS RESEARCH
(2018)
Article
Business
Xiao Liu, Param Vir Singh, Kannan Srinivasan
