Article
Engineering, Electrical & Electronic
Jonggyu Jang, Hyun Jong Yang
Summary: This paper proposes a novel user association, resource allocation, and dynamic power control scheme to maximize alpha-fairness in renewable energy source-assisted small cell networks. By using a Lagrangian duality-based algorithm and a deep reinforcement learning-based dynamic power control scheme, the proposed scheme achieves significant improvement in computation time and fairness metrics.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Multidisciplinary Sciences
Zhenzhen Jiang, Hongping Guo, Jinjuan Wang
Summary: In genome-wide association study, extracting disease-associated genetic variants is crucial but lacks theoretical guarantees for variable screening. We propose adjusted versions of Cochran-Armitage trend tests and MAX test for screening, proving their sure screening and ranking properties. Extensive simulations show the robustness and efficiency of MAX test-based screening. A case study on type 1 diabetes dataset further confirms their effectiveness.
SCIENTIFIC REPORTS
(2023)
Article
Genetics & Heredity
Olga Y. Gorlova, Xiangjun Xiao, Spiridon Tsavachidis, Christopher Amos, Ivan P. Gorlov
Summary: This study aimed to identify SNP features associated with validation success in GWAS. Results showed that the level of statistical significance and effect size in the discovery GWAS were the strongest predictors of validation success. The risk allele frequencies, location, and evolutionary conservation of SNPs also affected the validation success rate. Additionally, targeting the same ethnicity in the discovery and validation GWASs resulted in a higher validation success rate.
Review
Psychology, Biological
Fiona A. Hagenbeek, Jana S. Hirzinger, Sophie Breunig, Susanne Bruins, Dmitry V. Kuznetsov, Kirsten Schut, Veronika V. Odintsova, Dorret I. Boomsma
Summary: Twin studies compare genetic and environmental factors in identical and non-identical twins to understand behavior resemblance. Recent developments in twin studies show the need for increased representativeness. Twin concordance rates for major diseases challenge the belief in genetic determinism.
NATURE HUMAN BEHAVIOUR
(2023)
Article
Psychology, Mathematical
Jeff Miller
Summary: Due to limitations in resources, researchers often need to choose between testing few participants with many trials or many participants with few trials in reaction time experiments. This study simulated virtual experiments using subsets of participants and trials from real datasets, finding that designs with many participants and few trials each generally had greater power to detect experimental effects. However, in some cases, as few as two trials per participant in each condition could maximize power. Researchers can increase experimental power by making plausible predictions about how their effects will change over the course of a session.
BEHAVIOR RESEARCH METHODS
(2023)
Article
Engineering, Electrical & Electronic
Hassaan Hydher, Dushantha Nalin K. Jayakody, Stefan Panic
Summary: The paper proposes an approach to maximize latency fairness in a UAV-assisted multi-access edge computing system by optimizing UAV location, offloading ratio, GU transmit power, and GU computational capacity. Numerical simulation results show that this method outperforms other baseline approaches in convergence, minimizing maximum latency, and achieving fairness among GUs.
IET INTELLIGENT TRANSPORT SYSTEMS
(2022)
Article
Biochemistry & Molecular Biology
Junji Morisawa, Takahiro Otani, Jo Nishino, Ryo Emoto, Kunihiko Takahashi, Shigeyuki Matsui
Summary: Bayes factor analysis can accommodate risks of false negatives and false positives in identifying susceptibility gene variants. The proposed SP-EBF, based on a nonparametric effect-size distribution estimated from the data, assigns greater significance to SNPs with small effect sizes compared to ABF. Incorporating an effect-size distribution estimated from the data, SP-EBF has the potential to improve the accuracy of Bayes factor analysis in GWASs.
EUROPEAN JOURNAL OF HUMAN GENETICS
(2021)
Article
Computer Science, Information Systems
Paul Cuffe
Summary: This article discusses an optimization-based procedure to identify the maximum power flow that each branch in an electrical network could be exposed to, providing insights into congestion in power systems. The study found wide variation in loadability of branches, with low branch reactance being a key driver of high loadability.
IEEE SYSTEMS JOURNAL
(2022)
Article
Genetics & Heredity
Meng Lin, Danny S. Park, Noah A. Zaitlen, Brenna M. Henn, Christopher R. Gignoux
Summary: GWAS in admixed populations demonstrate higher statistical power in discovery and more accurate cross-population polygenic score estimates compared to single-ancestry cohorts. Common variant associations are more likely to replicate if first discovered in admixed populations and then transferred to ancestral populations.
FRONTIERS IN GENETICS
(2021)
Article
Computer Science, Information Systems
Hua Yan, Shuang-Hua Yang, Yunfei Chen, Suhaib A. Fahmy
Summary: This study investigates the optimal battery weight for UAV-enabled wireless sensor networks and provides both numerical and approximate solutions. Numerical results indicate that both vertical and horizontal flight speeds, as well as the gross weight of the UAV, significantly influence the optimal battery weight.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2021)
Article
Engineering, Electrical & Electronic
Karar Mahmoud, Matti Lehtonen
Summary: Comprehensive analytical expressions (CAEs) are proposed in this paper to maximize the technical benefits of multiple PV units to distribution systems, considering the uncertainty of PV generation and load profiles. The CAEs offer an effective solution to the optimal allocation problem of multiple PV units, providing high accuracy, flexibility, and computational speed.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Engineering, Electrical & Electronic
Renato Gregolon Scortegagna, Roger Gules
Summary: A novel self-driven synchronous rectifier (SR) circuit for inductive power transfer (IPT) is proposed in this article, which uses auxiliary windings in the existing rectifier output filter inductors to drive active switches. The proposed configuration has simple and robust operation and can improve the overall efficiency of the system.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2022)
Article
Green & Sustainable Science & Technology
Yili Wang, Caichao Zhu, Yao Li, Jianjun Tan
Summary: This study proposes a method of reducing power and increasing the continuous operation time of faulty wind turbines by analyzing the status of operating state parameters after a failure, and analyzes its feasibility. The results show that this method can extend the continuous operation time of wind turbines and increase the total generation.
ENERGY FOR SUSTAINABLE DEVELOPMENT
(2021)
Editorial Material
Medicine, General & Internal
Lisa Bastarache, Joshua C. Denny, Dan M. Roden
Summary: This article discusses the concept and methodology of phenome-wide association studies, which aim to identify associations between genetic variations and phenotypic traits using a dataset.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
(2022)
Article
Engineering, Electrical & Electronic
Rafael Mendonca Rocha Barros, Edson Guedes da Costa, Jalberth Fernandes Araujo
Summary: This paper presents a new approach to address the lack of solutions focused on the financial return of utilities' actions in non-technical loss management. The proposed approach calculates the predicted return of field inspections by considering the operational cost, potential energy recovery, and tariff value. The Rotation Forest and eXtreme Gradient Boosting algorithms are utilized for indicating the non-technical loss existence and energy recovery forecast respectively. The results show a significant increase in the financial return of field inspections when applying the proposed approach.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
