Miracle-dz/UniFAR-FTUs huggingface dataset:
Resilience and Posttraumatic Growth of Patients With Breast Cancer During the COVID-19 Pandemic in China: The Mediating Effect of Recovery

Purpose This study aims to examine the mediating role recovery plays in the relationship between resilience and posttraumatic growth (PTG) among breast cancer patients. Methods A cross-sectional study design was implemented between January 02, 2021 and April 29, 2021. A total of 789 breast cancer patients from eight hospitals in Liaoning province were selected for participation in this study. These participants completed questionnaires, which included the Post-Traumatic Growth Inventory, EGO Resilience Scale and the Questionnaire about the Process of Recovery. The associated factors of PTG were analyzed using hierarchical multiple regression (HMR). The proposed relationships among resilience, recovery, and PTG were checked by structural equation modeling (SEM) analyses. Results The average PTG score of breast cancer patients was 53.00 ± 28.30. PTG was positively correlated with both recovery and PTG (a*b = 0.1, BCa95% CI: 0.154 ∼ 0.054). Conclusion Breast cancer patients were found to exhibit a moderate degree of PTG. Resilience was positively associated with PTG and recovery mediated the positive effect of resilience on PTG. Resilience might serve as a crucial protective factor that could explain positive growth in life-threatening illnesses through the mediating path of recovery.
Firm Births, Access to Transit, and Agglomeration in Portland, Oregon, and Dallas, Texas

The formation of new firms is one process by which economies grow and innovate. Public transportation services may facilitate the birth of new firms by both providing better access and causing local densification that leads to agglomeration economies. In this study firm births are investigated to determine how they are related to newly provided light rail transit service in two metropolitan areas in the United States. A geocoded time-series database of firm establishments in Dallas, Texas, and Portland, Oregon, from 1991 through 2008 is used. The data set allows the study of spatial patterns by industry and the analysis of the relationship of firm births to rail station proximity, accessibility, and local agglomeration while controlling for a number of potentially confounding factors. Positive, large, and statistically significant relationships are found in Portland between rail station proximity and firm births. The rail proximity results in Dallas are also generally positive, though not as large; this finding is consistent with the smaller accessibility value of rail in Dallas, as well as policies encouraging commercial development near rail in Portland. Rail proximity increases firm births across almost all industrial sectors in both of these metropolitan areas when controlling for the negative effects on firm births of local own-industry employment. Local block-level agglomeration and generalized accessibility are also highly significant but appear to work independently of rail access. These results imply that passenger rail service increases firm births near rail stations by expanding access to the labor market but not by increasing information spillovers or increasing face-to-face interactions.
Evaluation of the Effects of Cold Plasma on Cell Membrane Lipids and Oxidative Injury of Salmonella typhimurium

Salmonella typhimurium (S. typhimurium) is a major causative agent of foodborne illness worldwide. Cold plasma (CP) was used to inactivate S. typhimurium and to investigate the effect of CP on cell membrane lipids and oxidative injury of cells. Results indicated that the inactivation effect of CP on S. typhimurium was positively correlated with the treatment time and voltage. S. typhimurium was undetectable (total number of surviving colonies <2 log CFU/mL) after 5 min treatment with the voltage of 50 V. CP treatment caused damage to the cell membrane of S. typhimurium and the leakage of cell contents, and the relative content of unsaturated fatty acids in cell membrane decreased. Cell membrane lipids were oxidized; the malondialdehyde content increased from 0.219 nmol/mL to 0.658 nmol/mL; the catalase activity of S. typhimurium solution increased from 751 U/mL to 2542 U/mL; and the total superoxide dismutase activity increased from 3.076 U/mL to 4.54 U/mL, which confirmed the oxidative damage in S. typhimurium cell membrane caused by CP treatment. It was demonstrated that the potential application of plasma-mediated reactive oxygen species is suitable for destroying the structures of the cell membrane and ensuring the microbial safety of fresh food samples.
Microbial cycling of marine high molecular weight dissolved organic matter

Microorganisms play a central role mediating biogeochemical cycles in the ocean. Marine dissolved organic matter (DOM) - a reservoir of organic solutes and colloids derived from plankton is a major source of carbon, nutrients, and energy to microbial communities. The biological transformation and remineralization of DOM sustains marine productivity by linking the microbial food web to higher trophic levels (the microbial loop) and exerts important controls over the cycles of carbon and bioessential elements, such as nitrogen and phosphorus, in the sea. Yet insight into the underlying metabolism and reactions driving the degradation of DOM is limited partly because its exact molecular composition is difficult to constrain and appropriate microbial model systems known to decompose marine DOM are lacking. This thesis identifies marine microorganisms that can serve as model systems to study the metabolic pathways and biochemical reactions that control an important ecosystem function, DOM turnover. To accomplish this goal, bacterial isolates were obtained by enriching seawater in dilution-to-extinction culturing experiments with a natural source of DOM, specifically, the high molecular weight (HMW) fraction (>1 kDa nominal molecular weight) obtained by ultrafiltration. Because it is relatively easy to concentrate and it is fairly uniform in its chemical composition across the global ocean and other aquatic environments, HMW DOM has the potential to serve as a model growth substrate to study the biological breakdown of DOM. The phylogeny, genomes, and growth characteristics of the organisms identified through this work indicate that HMW DOM contains bioavailable substrates that may support widespread microbial populations in coastal and open-ocean environments. The availability of ecologically relevant isolates in culture can now serve to test hypothesis emerging from cultivation-independent studies pertaining the potential role of microbial groups in the decomposition of organic matter in the sea. Detailed studies of the biochemical changes exerted on DOM by selected bacterial strains will provide new insight into the processes driving the aerobic microbial food chain in the upper ocean.
Is CO2 a good proxy for indoor air quality in classrooms? Part 2: Health outcomes and perceived indoor air quality in relation to classroom exposure and building characteristics

The aim of this paper is to investigate whether keeping indoor thermal conditions and carbon dioxide (CO2) levels within the current guideline values can provide a healthy and comfortable school environment. The study was organised as a longitudinal investigation over an academic year using a cohort of 376 students aged 9 to 11 (response rate: 87%) attending 15 classrooms in five London primary schools. The prevalence of asthmatic symptoms and asthma attacks was significantly higher among children attending urban schools (10.2%) than suburban schools (1.5%), and was significantly related to exposure to higher nitrogen dioxide (NO2) concentrations (odds ratio: 1.11, 95% confidence interval: 1.00–1.19). Self-reported dermal, mucosal, respiratory and general symptoms were 18.5%, 60.7%, 28.2% and 43.6% respectively in the heating season, and decreased in the non-heating season. Infiltration rates were negatively associated with prevalence and incidence of all sick building syndrome symptoms. Exposure to traffic-related pollutants, such NO2, ozone (O3) and tetrachloroethylene (T4CE), associated with mucosal symptoms, also increased dissatisfaction with indoor air quality (IAQ) and, therefore, perceived IAQ might be a first indication of exposure. Among targeted microbial counts, only Trichoderma viride remained significant predictors of satisfaction with IAQ even at low concentrations. The study provides evidence that simultaneous provision for limiting indoor CO2 levels and thermal conditions below current guidelines (e.g. below 1000 ppm and 26℃ or 22℃ depending on season) may improve perceived IAQ. This paper stresses the need to go beyond current regulations to investigate concentrations of specific pollutants to ensure a healthy school environment, and closes with a section on the practical implications on the UK policy and the building design industry. Practical application : The findings highlight the role and responsibility of stakeholders, from regulators to designers and school authorities, to account for the external environment and take the steps needed to ensure that schools provide a healthy indoor environment for their students. The recommendations focus on the need to decrease outdoor pollution levels in the school vicinity, thus improving health of the students and reducing the prevalence of respiratory illness. Building designers and engineers shall adopt an integrated approach for the simultaneous provision of adequate thermal conditions and IAQ in classrooms.
Diminishing sensitivity and absolute difference in value-driven attention

Kim and Beck (2020b) demonstrated that value-driven attention is based on relative value rather than absolute value, suggesting that prospect theory is relevant to our understanding of value-driven attention. To further this understanding, the present study investigated the impacts of diminishing sensitivity on value-driven attention. According to diminishing sensitivity, changes in outcomes have greater impacts nearer the reference point of 0 than farther from the point. Thus, the difference between $1 and $100 looms larger than that between $901 and $1000, due to their different ratios (100/1 > 1000/901). However, according to the absolute difference hypothesis, the differences should have similar impacts due to the absolute differences being the same (100 – 1 = 1000 – 901). Experiment 1 investigated whether diminishing sensitivity operates in the modified value-driven attention paradigm while controlling the impact of absolute differences. In the training phase, 100-point and 1000-point color targets had references of 1-point and 901-point color targets, respectively. In the test phase, 100-point color distractors attracted attention more than 1000-point color distractors, supporting the diminishing sensitivity hypothesis. Experiment 2 examined the absolute difference hypothesis while controlling the impact of diminishing sensitivity. Contrary to the absolute difference hypothesis, the test phase showed that 1000-point color distractors (compared with 10-point colors for a 990 absolute difference in the training phase) failed to attract attention more than 100-point color distractors (compared with 1-point colors, for a 99 absolute difference). These results suggest that diminishing sensitivity rather than absolute difference influences value-driven attention, further supporting the relevance of prospect theory to value-driven attention.
Developing Ringdown Oscillation Monitoring Techniques using Synchrophasor Data with Applications to New Zealand Network

I ACKNOWLEDGMENTS . III CONTENTS . IV LIST OF FIGURES . IX LIST OF TABLES . XIII NOMENCLATURE . XV 1 INTRODUCTION . 1 1.1 OVERVIEW OF THE NEW ZEALAND GRID . 2 1.1.1 Challenges in the System Operations . 3 1.2 THE DAWN OF THE WIDE AREA MONITORING SYSTEMS . 3 1.2.1 The Birth of the Phasor Measurement Unit (PMU) . 5 1.2. 2 A Brief History of Wide Area Monitoring System . 7 1.2. 3 The WAMS Infrastructure . 9 1.2. 4 Outline of the New Zealand WAMS Infrastructure . 10 1.3 A SUMMARY OF THE CURRENT WAMS APPLICATIONS . 13 1.3. 1 Monitoring the Oscillations in the New Zealand Network . 16 1.4 MOTIVATION FOR THE THESIS . 18 1.5 CONTRIBUTIONS OF THE THESIS . 18 1.6 THESIS OVERVIEW . 21 2 ANALYZING POWER SYSTEM OSCILLATIONS . 23 2.1 BACKGROUND OF POWER SYSTEM OSCILLATIONS . 23 2.1.1 What are they? 23 2.1.2 The nature of the Oscillations . 23 2.1.3 Potential Threats towards Secure Network Operation . 25
Antimicrobial and antibiofilm activities of Cichorium intybus: a review

The plant Cichorium intybus L. , also known as Chicory, is found in different parts of the world and has a rich phytochemical composition. Within its spectrum of action, the plant has been studied about its performance against pathogenic microorganisms and biofilm. Therefore, the objective of the present study is to realize a literature review on the antimicrobial and antibiofilm actions of the species Cichorium intybus. For this, searches were carried out in the databases PubMed / MEDLINE, EMBASE, Gale - Academic OneFile and Science Direct for articles published until August 2020, using the MeSH descriptors “Anti-infective agents“, “Dentistry” and “Periodontal disease” and its derivatives together with the keyword “Cichorium intybus” and its variants. A total of 998 results were found. After a critical reading of titles and abstracts, 18 articles were selected for the preparation of the study. The review includes articles published without time restriction and that approach the species Cichorium intybus with antimicrobial and antibiofilm action. Case reports and literature reviews were excluded. Chicory has a rich variety of chemical compounds that ensure it a wide range of uses, presenting action against bacteria, fungi and viruses, especially the Hepatitis B virus. Therefore, Almeirão has a good antimicrobial and antibiofilm performance in vitro, however, more studies are needed to standardize the study methodology, in addition to elucidating the clinical practice of the plant.
Fundamental Jet Noise Reduction Science and Technology

This paper provides an overview of the code development and computational study of supersonic jet noise reduction conducted under the ONR Jet Noise Reduction project. Monotonically Integrated Large Eddy Simulations (MILES) is shown to be able to accurately and efficiently simulate the supersonic flows and noise from complex nozzles. A key objective of the research effort to reduce the computing time by an order of magnitude has been achieved. The capability of the computations to accurately simulate various potential noise reduction concepts is also demonstrated. These two factors (speed and accuracy) enables the effective use of the JENRE code to investigate potential noise reduction technologies in a cost-effective and timely manner.
Bio-Based (Chitosan-ZnO) Nanocomposite: Synthesis, Characterization, and Its Use as Recyclable, Ecofriendly Biocatalyst for Synthesis of Thiazoles Tethered Azo Groups

In recent years, nanotechnology has become a considerable research interest in the area of preparation of nanocatalysts based on naturally occurring polysaccharides. Chitosan (CS), as a naturally occurring biodegradable and biocompatible polysaccharide, is successfully utilized as an ideal template for the immobilization of metal oxide nanoparticles. In this study, zinc oxide nanoparticles have been doped within a chitosan matrix at dissimilar weight percentages (5, 10, 15, 20, and 25 wt.% CS/ZnO) and have been fabricated by using a simple solution casting method. The prepared solutions of the nanocomposites were cast in a Petri-dish and were subsequently shaped as a thin film. After that, the structural features of the nanocomposite film have been studied by measuring the FTIR, SEM, and XRD analytical tools. FTIR spectra showed the presence of some changes in the major characteristic peaks of chitosan due to interaction with ZnO nanoparticles. In addition, SEM graphs exhibited dramatic morphology changes on the chitosan surface, which is attributed to the surface adsorption of ZnO molecules. Based on the results of the investigated organic catalytic reactions, the prepared CS/ZnO nanocomposite film (20 wt.%) could be a viable an effective, recyclable, and heterogeneous base catalyst in the synthesis of thiazoles. The results showed that the nanocomposite film is chemically stable and can be collected and reused in the investigated catalytic reactions more than three times without loss of its catalytic activity.
Acoustics and Computational Models for Diagnosing Arterial Blockages

Arterial blockages can occur in small or large arteries for a variety of reasons, such as obesity, stress, smoking and high cholesterol. This paper presents a feasibility study on a novel method to detect the behaviour of the blood pressure wave propagation for arteries in both healthy and diseased conditions in order to develop a relatively inexpensive method for early detection of arterial disease. The trend of this behaviour is correlated to the early development of the arterial blockage at various locations. Invasive sets of data (gathered from experiments performed on animals) are implemented into a 3D Computational Fluid Dynamic (CFD) model to determine how the arterial wall compliance changes when any abnormalities occur to the blood flow profile. At the same time, a 1D acoustical model is developed to transfer the information gathered (wave propagation for blood pressure, flow and arterial wall displacement) from the CFD model. Wave forms were collected at a location which was invasively accessible (the femoral artery). The computational and acoustical models are validated against the clinical trials and show good agreement. Any changes to the arterial wall displacement could be detected by systolic and diastolic blood pressure values at the femoral artery. © 2013 ASME
Demand for Meat in Malaysia: An Application of the Almost Ideal Demand System Analysis

ABSTRAK Artikel ini membentangkan nilai anggaran permintaan bagi lima kumpulan daging di Malaysia dari model AIDS (Almost Ideal Demand System). Versi model AIDS yang linear boleh dianggar dengan menggunakan perisian komputer komersial yang tersedia ada dan mempunyai beberapa sifat teori yang di ingini. Keputusan yang di perolehi menunjukkan bahawa keanjalan harga adalah negatif, mempunyai keertian statistik yang tinggi kecuali untuk daging ayam yang berada dilengkongan tidak anjal. Secara keseluruhan, keanjalan silang harga mempunyai kaitan yang positif. Permintaan untuk daging khindzir, ayam, kambing dan ikan didapati anjal terhadap perbelanjaan.
The Impact of Context Awareness and Ubiquity on Mobile Government Service Adoption

Context awareness and mobile factor ubiquity are considered key factors when it comes to mobile technology development and diffusion. Context is vital in interactive applications particularly when the context of users changes frequently and rapidly in the environment of handheld-mobile and ubiquitous technology systems. The understanding of the context and ubiquity in the development and diffusion of mobile government can influence the delivery of efficient public services. Mobile context-aware computing systems can respond to the changes in the environment in an intelligent way to provide a better consumer experience for users. This study explored the impact of context awareness and mobile factor ubiquity on the adoption of mobile government services. The framework of this study was based on the unified theory of acceptance and use of technology (UTAUT). The structural equation model (SEM) with SmartPLS 3.0 was used to conduct the data analysis. The analysis which was based on the 366 samples generated has shown that while context awareness was not significant in determining both the performance and intention to use, it was however significant in determining the effort expectancy of mobile government services. Also, mobile factor ubiquity was found to be a positive predictor of effort expectancy, intention to use, and context awareness. However, the mobile factor ubiquity does not determine the performance expectancy of mobile government services. The implications (managerial and theoretical) of these and other result findings of the study are discussed.
Computationally efficient methods for large-scale atmospheric inverse modeling

Abstract. Atmospheric inverse modeling describes the process of estimating greenhouse gas fluxes or air pollution emissions at the Earth's surface using observations of these gases collected in the atmosphere. The launch of new satellites, the expansion of surface observation networks, and a desire for more detailed maps of surface fluxes has yielded numerous computational and statistical challenges for standard inverse modeling frameworks that were often originally designed with much smaller data sets in mind. In this article, we discuss computationally efficient methods for large-scale atmospheric inverse modeling and focus on addressing some of the main computational and practical challenges. We develop generalized hybrid projection methods, which are iterative methods for solving large-scale inverse problems, and specifically we focus on the case of estimating surface fluxes. These algorithms confer several advantages. They are efficient, in part because they converge quickly, they exploit efficient matrix-vector multiplications, and do not require inverting any matrices. These methods are also robust because they can accurately reconstruct surface fluxes, they are automatic since regularization or covariance matrix parameters and stopping criteria can be determined as part of the iterative algorithm, and they are flexible because they can be paired with many different types of atmospheric models. We demonstrate the benefits of generalized hybrid methods with a case study from NASA's Orbiting Carbon Observatory 2 (OCO-2) satellite. We then address the more challenging problem of solving the inverse model when the mean of the surface fluxes is not known a priori; we do so by reformulating the problem, thereby extending the applicability of hybrid projection methods to include hierarchical priors. We further show that by exploiting mathematical relations provided by the generalized hybrid method, we can efficiently calculate an approximate posterior variance, thereby providing uncertainty information.