89 research outputs found
sj-docx-1-cno-10.1177_2329048X231210421 - Supplemental material for A Case of Multiple Mitochondrial Dysfunctions Syndrome 4 with Novel <i>ISCA2</i> Variants, Mimicking Post-Infectious Encephalitis
No full textSupplemental material, sj-docx-1-cno-10.1177_2329048X231210421 for A Case of Multiple Mitochondrial Dysfunctions Syndrome 4 with Novel ISCA2 Variants, Mimicking Post-Infectious Encephalitis by Hyungjin Chin, MD, Jaeso Cho, MD, Woo Joong Kim, MD, Soo Yeon Kim, MD, Byung Chan Lim, MD, Ki Joong Kim, MD, PhD and Jong Hee Chae, MD, PhD in Child Neurology Open</p
Aligned natural inflation with modulations
Get PDFThe weak gravity conjecture applied for the aligned natural inflation indicates that generically there can be a modulation of the inflaton potential, with a period determined by sub-Planckian axion scale. We study the oscillations in the primordial power spectrum induced by such modulation, and discuss the resulting observational constraints on the model. © 2016 The Author(s)9811Nsciescopu
Retraction notice to “Multiple and simultaneous detection for cytokines based on the nanohole array by electrochemical sandwich immunoassay” [Biosens Bioelectron.: X 14 (2023) 100387]
No full textThis article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/locate/withdrawalpolicy).This article has been retracted at the request of author JuKyung Lee, with approval from Biosensors and Bioelectronics: X editor Dianping Tang.Concerns were raised following the publication of this paper about improper use of the data and discrepancies and misinterpretations of the data. The design presented in the papers were obtained at Northeasten University, the data have been published without permission.Authors Han Na Suh; Sung-Hoon Yoon; Yoo Min Park; HyungJin Kim; and SangHee Kim have been notified of the retraction.Based on the evidence, the above-mentioned authors and the editor concluded the article should be retracted
750 GeV diphoton resonance and electric dipole moments
Get PDFWe examine the implication of the recently observed 750 GeV diphoton excess for the electric dipole moments of the neutron and electron. If the excess is due to a spin zero resonance which couples to photons and gluons through the loops of massive vector-like fermions, the resulting neutron electric dipole moment can be comparable to the present experimental bound if the CP-violating angle α in the underlying new physics is of O(10−1). An electron EDM comparable to the present bound can be achieved through a mixing between the 750 GeV resonance and the Standard Model Higgs boson, if the mixing angle itself for an approximately pseudoscalar resonance, or the mixing angle times the CP-violating angle α for an approximately scalar resonance, is of O(10−3). For the case that the 750 GeV resonance corresponds to a composite pseudo-Nambu–Goldstone boson formed by a QCD-like hypercolor dynamics confining at ΛHC, the resulting neutron EDM can be estimated with α∼(750 GeV/ΛHC)2θHC, where θHC is the hypercolor vacuum angle.
©2016 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). Funded by SCOAP32211Nsciescopu
Novel Applications of Optimization Models in Drone Routing and Scheduling
No full textDrone technologies can have a positive impact on surveillance, emergency response, and delivery. Many existing optimization models in drone routing and scheduling focus on minimizing the cost or time required to complete a mission. This study explores novel applications of drones for healthcare delivery and structural inspection considering the physics of battery consumption that are often ignored in the Operations Research community. The COVID-19 pandemic has affected everyone in ways never imagined and various social distancing measures are in place to reduce the spread of viruses. If at-home testing kits are safely and quickly delivered to a patient, it can potentially reduce human contact and positively affect disease spread before, during, and after diagnosis. Hence, the first subject of this thesis proposes testing kit delivery schedules using drones based on the Mothership and Drone Routing Problem (MDRP). Optimization models and a decomposition-based solution methodology are developed to solve the complex model. The performance on virus spread reduction rate was measured by the ‘R’ method. Computational results show that the proposed approach (R = 0.002) resulted in considerably lower infection risk compared to the face-to-face testing practice (R = 0.0153). The second subject of this thesis introduces drone path planning for structural inspection considering the physics of battery consumption. The short battery duration of drones remains a major problem for small drones. Considering the shape of large structures, drones have a variety of flight dynamics during a mission, in which certain moves require a faster battery consumption than others. However, these factors have not been thoroughly considered in the existing routing models. Hence, this study examines different aspects of routing drones to cover multiple inspection points distributed on a three-dimensional structure. Both MIP models (labelled as SFD and MEC) are developed to obtain optimal routing strategies for both the shortest distance and the minimum battery consumption. Numerical results show that the optimal solutions form these two models produce different paths. Understanding that each decision maker may have different preference between those two objectives, a bi-objective optimization model has been developed to find an efficient frontier of solutions to satisfy the decision maker’s preference.Industrial Engineering, Department o
ALTERNATIVE APPROACH TO VOLATILITY FORECASTING AND EVALUATING FORECASTING PERFORMANCE
No full textStudies in the volatility process of financial markets have focused more on volatility modeling aspects, using parametric assumptions. Compared with the vast amount of research in parametric modeling, there is a lack of studies in nonparametric approaches in volatility forecasting and forecasting performance evaluation. This research intends to explore alternative approaches to forecasting volatility of financial returns, and evaluation of forecasting models. This research will employ grammatical evolution to propose a hybrid forecasting model that utilizes the benefits of parametric and genetic programming models. Furthermore, an alternative methodology to handle structural breaks in volatility is examined by utilizing an adaptive approach in dynamic environments. In an extensive empirical study, the proposed models will be compared with the other models widely used in the literature using statistical and economic tests. Specifically, as an alternative to the statistical performance evaluation measure, a nontraditional method derived from the idea of speculating on asset volatility will be employed to compare the performance as well as to assess economic usefulness of competing volatility models. The hybrid model provided superior forecasting performance than traditional techniques both on economic and statistical measures.PH.D in Management Science, December 201
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