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351 results on '"Guo, Xiaojia"'

4. Evaluation of Stability and Biocompatibility of Chitosan/Sodium Tripolyphosphate and Chitosan/Flaxseed Gum Composite Nanoparticles Loaded with Bighead Carp Peptides

Author

ZHENG Changliang, CHEN Mengting, WANG Lan, QU Yinghong, SHI Wenzheng, SHI Liu, CHEN Sheng, QIAO Yu, LI Xin, GUO Xiaojia, WU Wenjin, YANG Yuping

Subjects
chitosan, nanoparticle, stability, biocompatibility, Food processing and manufacture, TP368-456
Abstract

Chitosan nanoparticle is becoming an excellent carrier for the delivery of bioactive components due to the advantages of simple preparation, low cost and high biocompatibility. Previous studies have shown that chitosan/sodium tripolyphosphate (CS/TPP) and chitosan/flaxseed gum (CS/FG) nanoparticles loaded with bighead carp peptides (BCP) have the advantages of small particle size, high encapsulation rate and significant slow-release effect. This study explored the effects of ionic strength, pH, simulated digestion and storage time on the preparation of chitosan/sodium tripolyphosphate (CS/TPP-BCP) and chitosan/flaxseed gum (CS/FG-BCP) nanoparticles, and evaluated the extracellular lactate dehydrogenase content and antioxidant capacity in vivo of Caco-2 cells treated with the chitosan nanoparticles and their cellular uptake. The results showed that the two kinds of chitosan nanoparticles were stable under acidic conditions and sensitive to a solution with opposite charges. The stability of the nanoparticles loaded with bighead peptides was higher than that of free peptides and both nanoparticles showed higher biocompatibility and cell uptake.

Published
2023
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10. Association of renalase with clinical outcomes in hospitalized patients with COVID-19

Author

Safdar, Basmah, Wang, Melinda, Guo, Xiaojia, Cha, Charles, Chun, Hyung J, Deng, Yanhong, Dziura, James, El-Khoury, Joe M, Gorelick, Fred, Ko, Albert I, Lee, Alfred I, Safirstein, Robert, Simonov, Michael, Zhou, Bin, and Desir, Gary V

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Clinical Research, Good Health and Well Being, Adult, Aged, COVID-19, Endothelium, Female, Hospitalization, Humans, Intensive Care Units, Interleukin-6, Kaplan-Meier Estimate, Male, Middle Aged, Monoamine Oxidase, Proportional Hazards Models, Respiration, Artificial, Retrospective Studies, Risk Factors, SARS-CoV-2, Severity of Illness Index, General Science & Technology
Abstract

Renalase is a secreted flavoprotein with anti-inflammatory and pro-cell survival properties. COVID-19 is associated with disordered inflammation and apoptosis. We hypothesized that blood renalase levels would correspond to severe COVID-19 and survival. In this retrospective cohort study, clinicopathologic data and blood samples were collected from hospitalized COVID-19 subjects (March-June 2020) at a single institution tertiary hospital. Plasma renalase and cytokine levels were measured and clinical data abstracted from health records. Of 3,450 COVID-19 patients, 458 patients were enrolled. Patients were excluded if

Published
2022

11. Forecasting: theory and practice

Author

Petropoulos, Fotios, Apiletti, Daniele, Assimakopoulos, Vassilios, Babai, Mohamed Zied, Barrow, Devon K., Taieb, Souhaib Ben, Bergmeir, Christoph, Bessa, Ricardo J., Bijak, Jakub, Boylan, John E., Browell, Jethro, Carnevale, Claudio, Castle, Jennifer L., Cirillo, Pasquale, Clements, Michael P., Cordeiro, Clara, Oliveira, Fernando Luiz Cyrino, De Baets, Shari, Dokumentov, Alexander, Ellison, Joanne, Fiszeder, Piotr, Franses, Philip Hans, Frazier, David T., Gilliland, Michael, Gönül, M. Sinan, Goodwin, Paul, Grossi, Luigi, Grushka-Cockayne, Yael, Guidolin, Mariangela, Guidolin, Massimo, Gunter, Ulrich, Guo, Xiaojia, Guseo, Renato, Harvey, Nigel, Hendry, David F., Hollyman, Ross, Januschowski, Tim, Jeon, Jooyoung, Jose, Victor Richmond R., Kang, Yanfei, Koehler, Anne B., Kolassa, Stephan, Kourentzes, Nikolaos, Leva, Sonia, Li, Feng, Litsiou, Konstantia, Makridakis, Spyros, Martin, Gael M., Martinez, Andrew B., Meeran, Sheik, Modis, Theodore, Nikolopoulos, Konstantinos, Önkal, Dilek, Paccagnini, Alessia, Panagiotelis, Anastasios, Panapakidis, Ioannis, Pavía, Jose M., Pedio, Manuela, Pedregal, Diego J., Pinson, Pierre, Ramos, Patrícia, Rapach, David E., Reade, J. James, Rostami-Tabar, Bahman, Rubaszek, Michał, Sermpinis, Georgios, Shang, Han Lin, Spiliotis, Evangelos, Syntetos, Aris A., Talagala, Priyanga Dilini, Talagala, Thiyanga S., Tashman, Len, Thomakos, Dimitrios, Thorarinsdottir, Thordis, Todini, Ezio, Arenas, Juan Ramón Trapero, Wang, Xiaoqian, Winkler, Robert L., Yusupova, Alisa, and Ziel, Florian

Subjects
Statistics - Applications, Computer Science - Machine Learning, Economics - Econometrics, Statistics - Machine Learning, Statistics - Other Statistics
Abstract

Forecasting has always been at the forefront of decision making and planning. The uncertainty that surrounds the future is both exciting and challenging, with individuals and organisations seeking to minimise risks and maximise utilities. The large number of forecasting applications calls for a diverse set of forecasting methods to tackle real-life challenges. This article provides a non-systematic review of the theory and the practice of forecasting. We provide an overview of a wide range of theoretical, state-of-the-art models, methods, principles, and approaches to prepare, produce, organise, and evaluate forecasts. We then demonstrate how such theoretical concepts are applied in a variety of real-life contexts. We do not claim that this review is an exhaustive list of methods and applications. However, we wish that our encyclopedic presentation will offer a point of reference for the rich work that has been undertaken over the last decades, with some key insights for the future of forecasting theory and practice. Given its encyclopedic nature, the intended mode of reading is non-linear. We offer cross-references to allow the readers to navigate through the various topics. We complement the theoretical concepts and applications covered by large lists of free or open-source software implementations and publicly-available databases.

Published
2020
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15. Probabilistic forecasting in decision-making : new methods and applications

Author

Guo, Xiaojia

Subjects
658.4
Abstract

This thesis develops new methods to generate probabilistic forecasts and applies these methods to solve operations problems in practice. The first chapter introduces a new product life cycle model, the tilted-Gompertz model, which can predict the distribution of period sales and cumulative sales over a product's life cycle. The tilted-Gompertz model is developed by exponential tilting the Gompertz model, which has been widely applied in modelling human mortality. Due to the tilting parameter, this new model is flexible and capable of describing a wider range of shapes compared to existing life cycle models. In two empirical studies, one on the adoption of new products and the other on search interest in social networking websites, I find that the tilted-Gompertz model performs well on quantile forecasting and point forecasting, when compared to other leading life-cycle models. In the second chapter, I develop a new exponential smoothing model that can capture life-cycle trends. This new exponential smoothing model can also be viewed as a tilted-Gompertz model with time-varying parameters. The model can adapt to local changes in the time series due to the smoothing parameters in the exponential smoothing formulation. When estimating the parameters, prior information is included in the regularization terms of the model. In the empirical studies, the new exponential smoothing model outperforms several leading benchmark models in predicting quantiles on a rolling basis. In the final chapter, I develop a predictive system that predicts distributions of passengers' connection times and transfer passenger flows at an airport using machine learning methods. The predictive system is based on regression trees and copula-based simulations. London Heathrow airport currently uses this proposed system and has reported significant accuracy improvements over their legacy systems.

Published
2020

21. Temporal and Spatial Evolution of Chinese Museums and Their Causes Analysis

Author

Liu Hailong, Liu Meitong, Hu Xuhong, and Guo Xiaojia

Subjects
museum, temporal and spatial evolution characteristics, policy factors, cultural and educational factors, china, Geography (General), G1-922
Abstract

With the transformation and development of China's economy and society, the state attaches great importance to the equalization of public services to meet the growing demand for a better life. Museums are not only one of the most important needs of people's spiritual culture but are also an important part of the public cultural service system. Their reasonable layout has an important impact on the equalization of basic public services. Therefore, research on the temporal and spatial evolution of museums has become one of the hotspots of related disciplines, and is of great significance to deepen the basic public service theory. This study selects a list of museums from 1990 to 2018 and uses a nuclear density analysis, standard deviation ellipse, spatial autocorrelation, and geographic detector model, to analyze the evolution trend of museum quantity, evolution characteristics of spatial distribution mode, law of spatial differentiation, and influencing factors of the temporal and spatial distribution of the museums. The results show that: 1) in terms of quantity evolution trend, there are significant differences in the number of museums from 1990-2000, 2000-2010, and 2010-2018, with a gradual increase in the number. Overall, the number of museums showed an accelerated growth trend from 1990-2018. The differences between the East and West are obvious. The number of museums in the eastern region is dense and the development is rapid; contrastingly, the number of museums in the central and western regions is sparse and development is relatively slow. 2) In terms of the evolution of spatial distribution mode, over time, Chinese museums continue to gather spatially and gradually evolve from "single center" distribution mode to "multi center" distribution mode, and the degree of agglomeration continues to improve. 3) The standard deviation ellipse analysis shows that from 1990-2018, the center of gravity of the Chinese museums was always located in the East; the center of gravity shifted slightly over time, and the moving track was about "Z." 4) In terms of the spatial differentiation law, there has been a significant spatial agglomeration process of Chinese museums since 1990, forming a pattern of "hot in the East and cold in the west". The middle and lower reaches of the Yangtze River are the hotspots of Chinese museums, and Xinjiang and Tibet are always in the cold spots. Additionally, the scope of hotspots continues to expand annually, extending to the northwest inland, which is consistent with China's strategy of "equalization of public cultural services" in recent years; it is also conducive to breaking the layout of public cultural facilities that are "strong in the East and weak in the West." 5) In terms of influencing factors, museum spatial differentiation is the result of the comprehensive action of multiple factors, which is mainly affected by the economy, society, policy, culture, and education. Among them, policy, cultural, and educational factors are the main influencing factors of museum spatial differentiation, followed by social factors, and economic factors are the general factors affecting its distribution.

Published
2022
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22. Forecasting: theory and practice

Author

Petropoulos, Fotios, Apiletti, Daniele, Assimakopoulos, Vassilios, Babai, Mohamed Zied, Barrow, Devon K., Ben Taieb, Souhaib, Bergmeir, Christoph, Bessa, Ricardo J., Bijak, Jakub, Boylan, John E., Browell, Jethro, Carnevale, Claudio, Castle, Jennifer L., Cirillo, Pasquale, Clements, Michael P., Cordeiro, Clara, Cyrino Oliveira, Fernando Luiz, De Baets, Shari, Dokumentov, Alexander, Ellison, Joanne, Fiszeder, Piotr, Franses, Philip Hans, Frazier, David T., Gilliland, Michael, Gönül, M. Sinan, Goodwin, Paul, Grossi, Luigi, Grushka-Cockayne, Yael, Guidolin, Mariangela, Guidolin, Massimo, Gunter, Ulrich, Guo, Xiaojia, Guseo, Renato, Harvey, Nigel, Hendry, David F., Hollyman, Ross, Januschowski, Tim, Jeon, Jooyoung, Jose, Victor Richmond R., Kang, Yanfei, Koehler, Anne B., Kolassa, Stephan, Kourentzes, Nikolaos, Leva, Sonia, Li, Feng, Litsiou, Konstantia, Makridakis, Spyros, Martin, Gael M., Martinez, Andrew B., Meeran, Sheik, Modis, Theodore, Nikolopoulos, Konstantinos, Önkal, Dilek, Paccagnini, Alessia, Panagiotelis, Anastasios, Panapakidis, Ioannis, Pavía, Jose M., Pedio, Manuela, Pedregal, Diego J., Pinson, Pierre, Ramos, Patrícia, Rapach, David E., Reade, J. James, Rostami-Tabar, Bahman, Rubaszek, Michał, Sermpinis, Georgios, Shang, Han Lin, Spiliotis, Evangelos, Syntetos, Aris A., Talagala, Priyanga Dilini, Talagala, Thiyanga S., Tashman, Len, Thomakos, Dimitrios, Thorarinsdottir, Thordis, Todini, Ezio, Trapero Arenas, Juan Ramón, Wang, Xiaoqian, Winkler, Robert L., Yusupova, Alisa, and Ziel, Florian

Published
2022
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36. In vitro and in vivo efficacy of Molnupiravir against Zika virus infections

Author

Wang, Zhuang, primary, Yang, Shaokang, additional, Dai, Qingsong, additional, Guo, Xiaojia, additional, Li, Yuexiang, additional, Li, Wei, additional, Yang, Xiaotong, additional, Yang, Jingjing, additional, Yan, Xintong, additional, Tao, Huimin, additional, Luo, Chongda, additional, Li, Song, additional, Chen, Xingjuan, additional, Cao, Ruiyuan, additional, and Zhong, Wu, additional

Published
2023
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43. Renalase Identified by Machine Learning Methods As A Novel Independent Predictor Of Mortality In Hospitalized Patients With COVID-19

Author

Safdar, Basmah, primary, Sobiesk, Matthew, additional, Bertsimas, Dimitris, additional, Nowroozpoor, Armin, additional, Deng, Yanhong, additional, D’Onofrio, Gail, additional, Dziura, James, additional, El-Khoury, Joe, additional, Guo, Xiaojia, additional, Simokonov, Michael, additional, Taylor, R. Andrew, additional, Wang, Melinda, additional, and Desir, Gary, additional

Published
2023
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