Miracle-dz/UniFAR-FTUs huggingface dataset:
Applications of the Atmospheric Transport and Diffusion of LES Modeling to the Spread and Dissipation of COVID-19 Aerosol Particles inside and outside the Japan National Stadium (Tokyo Olympic Stadium)

In this paper, we use an analysis function for gas diffusion known as the Research Institute for Applied Mechanics, Kyushu University, Computational Prediction of Airflow over Complex Terrain (RIAM-COMPACT), which was developed for complex terrain, in Airflow Analyst software, and apply it to the spread and dissipation of a fluid layer (assuming the fluid layer contains COVID-19 particles). First, to verify the prediction accuracy of the gas diffusion using RIAM-COMPACT, comparisons with past wind tunnel test results conducted on simple and complex terrains are presented under neutral atmospheric stability. The results of the numerical simulations carried out in this study show good agreement with the wind tunnel experiments for both simple and complex terrains. Next, a model of the Japan National Stadium (Tokyo Olympic Stadium) was constructed using 3D detailed topographic Advanced World 3D Map (AW3D) data generated by combining high-resolution satellite images. We tried to reproduce the hypothetical spread and dissipation of the fluid layer (assuming the fluid layer contains COVID-19 particles) inside and outside of the Japan National Stadium using Airflow Analyst implemented with the RIAM-COMPACT analysis function for gas diffusion. We paid special attention to the effect of wind ventilation driven by natural wind. The numerical results under various scenarios show that ventilation driven by natural wind is very effective for the Japan National Stadium. [ABSTRACT FROM AUTHOR] Copyright of Modelling & Simulation in Engineering is the property of Hindawi Limited and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Analysing the Impact of the Glass Ceiling in a Managerial Career: The Case of Spain

The need to break down the barriers facing women in the labour market arouses great interest for reasons of social and sustainability justice. This study breaks new ground on the topic of the “glass ceiling” by assessing the evolution of gender inequality in the proportion of individuals reaching high managerial positions. The application of the csQCA method to a survey of two cohorts of Spanish graduates in management sharing the same starting conditions reveals two factors: job variety and additional education, as conditions that are usually present in a successful managerial career. Our findings confirm the prevalence of the gender gap with little progress in recent years. Women find it more difficult to promote to high managerial positions whereas being a man turns out to almost be a guarantee for eluding low managerial positions. In the context of Spain, and for sure in most other countries, the few women attaining high managerial positions still need to make a greater effort in their professional career than their male counterparts.
Location tracking using LoRa

Local Area Network (LAN) as Bluetooth, WiFi and ZigBee are well established technology. The biggest problem with many LAN is the battery consumption and short ranges link budgets. LoRa is a new, private, unlicensed and spread spectrum modulation technique which allows sending low rates at extremely long ranges with minimal power consumption. More importantly, there is no access fee associated with this type of wireless technology. The main idea behind this work is to conduct performance and capability analysis of a currently available LoRa transceiver. We develop a location monitoring system using LoRa and Global Positioning System (GPS) module and and we analyze the detectable range of its data, its battery consumption as well as Received Signal Strength Indicator (RSSI). Our deployment experiment demonstrates that the system is able to detect the transmitted data within 290 meters of distances. Using 6 Volts of battery AA, the transmission of data still occurred after 24 hours. This project is emphasized a location monitoring system that provide low power usage but long range.
Pre-service teachers’ enjoyment and ICT teaching self-efficacy in mathematics – an application of control-value theory

Abstract The didactic use of ICT is a major challenge for (pre-service) teachers. They report that they do not feel prepared for this demand. Teacher education has an essential role in enhancing ICT teaching self-efficacy and ensuring that teachers experience pleasant feelings when using ICT. This study examines ICT teaching self-efficacy in mathematics among n = 249 pre-service teachers in light of their experience of enjoyment. In terms of control-value theory, effects of control and value appraisals on enjoyment and ICT teaching self-efficacy in mathematics are examined. Results imply that perceived control is much more important than perceived value of ICT and that enjoyment mediates the relation to ICT teaching self-efficacy. The results are discussed with regard to their significance for teacher education.
Hmong American Charter Schools: An Exploratory and Descriptive Study

In this exploratory and descriptive study, I explored, analyzed, and described data provided by existing seven Hmong American charter schools. I aggregated my findings into these categories: communities and history; mission, vision, and/or core/value/future/belief statements; governance structure; curriculum; calendar; student support services; co-curricular activities; student information; staff information; student achievement; parental resources and involvement; communications; budgets/school finance; student enrollment; transportation; and other notable(s). For each category, I summarized the data explored and described, and for most of the categories, I provided supporting details to add depth.
Thoroughly examining the influence of managerial accounting on organizational performance with Heckman two-step technique

The implementation of managerial accounting practices in business has been broadly recognized as a determinant of organizational performance. Earlier studies have not taken sample selection bias problem into consideration when examining this relationship. The current work scrutinizes the relation from managerial accounting adoption to organizational performance by employing Heckman two-step technique. The data was collected from 302 publicly listed enetrprises in Vietnam’s main Stock Exchanges. The findings suggest there exists sample selection bias in the causal link from the implementation of managerial accounting practices to organizational performance. The current research is helpful to managerial accounting scholars as well as business executives, in shedding light on the association between managerial accounting practices and organizational performance. The findings could help directors in their business decisions on adopting managerial accounting practices which should correspond to their organizational characteristics and business environment, where they can obtain the best organizational performance.
Fabrication of gold-immobilized quantum dots/silica core–shell nanoparticles and their multimodal imaging properties

Abstract This work describes the fabrication of quantum dot (QD)/silica (SiO2) core–shell particles immobilized with Au nanoparticles and the evaluation of their abilities in fluorescence and x-ray computed tomography (CT) imaging. The QD nanoparticles were coated with silica shells by a sol-gel method using tetraethyl orthosilicate (QD/SiO2). Reduction of Au3+ in a citrate aqueous solution gave an Au nanoparticle colloidal solution. (3-Mercaptopropyl)trimethoxysilane thiolated the QD/SiO2 particle surface (QD/SiO2/SH). Immobilization of the Au nanoparticles on the QD/SiO2/SH particle surface was performed with the addition of the Au nanoparticle colloidal solution to the QD/SiO2/SH nanoparticle colloidal solution (QD/SiO2/SH/Au). Surface-PEGylated QD/SiO2/SH/Au particles were fabricated using thiol-terminated polyethylene glycol (PEG) (QD/SiO2/SH/Au/PEG). The QD/SiO2/SH/Au/PEG nanoparticle colloidal solution was imaged by fluorescence and x-ray CT imaging techniques. The CT value per unit concentration of Au (M) for the QD/SiO2/SH/Au/PEG nanoparticle colloidal solution was 1.5 × 104 HU/M. The QD/SiO2/SH/Au/PEG nanoparticle colloidal solution was injected into the tail vein of a mouse and circulated in the blood, although some QD/SiO2/SH/Au/PEG nanoparticles were trapped and remained in the liver and spleen.
Education department policy constructions within highly political contexts: a critical policy study of multiculturalism

ABSTRACT This article provides a critical analysis of policies from two education systems that support the education of students from migrant backgrounds. This analysis examines the highly political policy context of multiculturalism to reveal how education systems acquiesce to or resist social and political forces. In making this case, the article presents an historical analysis of the Australian federal government’s multicultural policy and the events that shaped it. The article then presents an analysis of the national policy statement Multicultural Australia: United, Strong, Successful to understand the current federal position on multiculturalism. These analyses provide an understanding of the political rationality of the broader context. This article argues that education policy constructions are likely to reflect this political rationality. Against this backdrop it then examines primary policies from two education systems that relate to education for students from migrant and refugee backgrounds. The key argument is that, whilst the federal government attends to concerns about security, social integration and economic contributions, education departments can ‘resist’ and attend to broader issues related to educational equity and social justice.
How Does the Digital Economy Affect the Domestic Value-Added Rate of Chinese Exports?

The digital economy continuously injects new momentum into the traditional economy and has become an important driving force for national economic development. Against this backdrop and using input-output data from the WIOD from 2002 to 2014, this paper empirically analyzes the impact of the development of the digital economy on the domestic value-added rate of Chinese manufacturing industry exports and the mechanism underlying this relationship. The results show that (1) digital economic input significantly promotes growth in the domestic value-added rate of manufacturing industry exports, (2) digital economic input mainly increases the domestic value-added rate of intermediate-product exports, (3) digital input has a significant positive impact on the capital-intensive and knowledge-intensive manufacturing industries, and (4) technological progress and cost reduction are important mechanisms through which the digital economy promotes the domestic value-added rate of exports.
Surface Modification Utilizing Photolithography Process for Pool Boiling Enhancement: An Experimental Study

Abstract Pool boiling can be mentioned as one of the most effective processes of heat transfer regarding the resultant phase change. In this research study, heat transfer in nucleate pool boiling is modeled experimentally with the consideration of surface modification methods utilizing surface photolithography in saturated water at atmospheric pressure. Further, the effects of etching material, confined etched surface, surface area and wettability comparison which is used in fabrication copper surfaces were examined. The images of scanning electron microscopy as well as atomic force microscopy are utilized for obtaining the phase structure and surface morphology in the prepared samples. The experimental results showed that the heat dissipation increases with higher additional area and active nucleation sites densities. Sample with checkered pattern and width of 60 created by photolithography process exhibited the maximum enhancement among other samples and the highest heat transfer coefficient, up to 178% compared to the plain surface. Different parameters, including the bubble dynamic, slide and scrape of the bubbles, area of the heat transfer as well as the capillary flow can be considered as the reasons for improved heat transfer. In addition, the bubble dynamic and enhancement mechanisms are investigated based on the images.
Evidence for Latent Crustal Fluid Injection Transients in Southern California From Long‐Duration Earthquake Swarms

Earthquake swarms are manifestations of aseismic driving processes deep in the crust. We examine the spatiotemporal distribution of aseismic processes in Southern California using a 12‐years catalog of swarms derived with deep learning algorithms. In a core portion of the plate boundary region, which is not associated with elevated heat flow, we identify 92 long‐duration swarms ranging from 6 months to 7 years that constitute 26.4% of the total seismicity. We find that 53% of the swarms exhibit ultra‐slow diffusive patterns with propagating backfronts, consistent with expectations for natural fluid injection processes. The chronology of the swarms indicates that the aseismic driving processes were active at all times during 2008–2020. The observations challenge common views about the nature of swarms, which would characterize any one of these sequences as anomalous. The regional prevalence of these sequences suggests that transient fluid injection processes play a key role in crustal fluid transport.
Dataflow Management in the Internet of Things: Sensing, Control, and Security

The pervasiveness of the smart Internet of Things (IoTs) enables many electric sensors and devices to be connected and generates a large amount of dataflow. Compared with traditional big data, the streaming dataflow is faced with representative challenges, such as high speed, strong variability, rough continuity, and demanding timeliness, which pose severe tests of its efficient management. In this paper, we provide an overall review of IoT dataflow management. We first analyze the key challenges faced with IoT dataflow and initially overview the related techniques in dataflow management, spanning dataflow sensing, mining, control, security, privacy protection, etc. Then, we illustrate and compare representative tools or platforms for IoT dataflow management. In addition, promising application scenarios, such as smart cities, smart transportation, and smart manufacturing, are elaborated, which will provide significant guidance for further research. The management of IoT dataflow is also an important area, which merits in-depth discussions and further study.
Transcriptomic analysis reveals anthocyanin biosynthesis regulation in blueberry (Vaccinium ashei) fruit

Abstract: Blueberry (Vaccinium ashei) is a popular fruit due to its high anthocyanin content. This study aimed to analyze the transcriptome profile of V. ashei cv. ‘Brightwell’ fruits at different stages of development. A total of 314.26 GB of clean data were obtained and de novo assembled into 254 196 unigenes. In comparisons between the early and late stages of fruit ripening, 27 genes (including PAL, CHS, F3H, F3′H, F3′5′H, LDOX, etc.) were found to cover the main steps in the anthocyanin biosynthesis pathway. Most of these genes were highly expressed in the late stage of fruit development, suggesting that anthocyanins mainly accumulate in the late stage. During the late stage of fruit development, most structural and regulatory genes such as F3′5′H and F3′H, which are involved in the anthocyanin biosynthetic pathway, were upregulated, causing the fruit to turn blue. Decreased expression of a large number of chloroplast-related genes during the fruit ripening period could explain why the green fruit color fades over time. Additionally, abscisic acid and ethylene may play positive roles in promoting fruit ripening and anthocyanin accumulation. This research reveals the transcriptomic characteristics of immature and mature fruits and enhances our understanding of the molecular mechanisms of anthocyanin biosynthesis and accumulation in blueberry fruit.
Primary Posterior Sagittal Anorectoplasty in male neonates with Anorectal Malformations: A tertiary care hospital experience

Background: The conventional surgical management for a male neonate with intermediate Anorectal Malformation (ARM) involves three stages – the creation of a diversion stoma in the neonatal period, a definitive pull-through procedure/ Posterior Sagittal Anorectoplasty (PSARP) followed by stoma closure. With this background, we present our experience with Single-stage primary definitive repair in selected male neonates with ARM. Methods: Medical records of male ARM cases managed from 2016 to 2018 were reviewed. Male neonates who underwent primary PSARP were analysed retrospectively. Results: A total of 35 records were found, out of which 12 male neonates underwent primary PSARP. The median gestational age and birth weight were 36.7 weeks and 2.75 kg respectively. Fistula with urinary tract was documented in all. The mean operative time was 65 minutes +/- 15 minutes. Two neonates had minor superficial surgical site infection at neo-anus. Anal dilatations were started after 2 weeks. At follow-up period of 3 years, 11 patients were continent; one patient had constipation with pseudo-incontinence which was successfully being managed by bowel management programme. Conclusions: A primary definitive procedure is feasible when performed on carefully selected male neonates with ARM and also avoids the morbidity of stoma and multiple surgeries and follow-up visits to hospitals.
Covalent Layer-by-Layer Assembly of Water-Permeable and Water-Impermeable Polymer Multilayers on Highly Water-Soluble and Water-Sensitive Substrates

Aqueous methods for the layer-by-layer (LbL) assembly of polyelectrolyte multilayers (PEMs) are not, by their nature, well suited for the fabrication of thin films on substrates that are highly water-soluble or composed of water-sensitive materials. Here, we demonstrate that organic solvent-based processes for covalent (or “reactive”) LbL assembly can be used to fabricate multilayers directly on the surfaces of model water-soluble, water-reactive, and water-sensitive substrates that are either difficult or impossible to coat effectively using aqueous-based LbL methods. Our approach is based on methods for the reactive assembly of multilayers using poly(ethyleneimine) (PEI) and an amine-reactive polymer containing azlactone functionality (PVMDA) in polar-aprotic solvents. The amine-reactive nature of the resulting PEI/PVDMA films facilitated subsequent modification of film-coated surfaces by reaction with primary amine-based nucleophiles. Functionalization of films with the hydrophobic small-molecule amine.
CROWD: Crow Search and Deep Learning based Feature Extractor for Classification of Parkinson's Disease

Edge Artificial Intelligence (AI) is the latest trend for next-generation computing for data analytics, particularly in predictive edge analytics for high-risk diseases like Parkinson’s Disease (PD). Deep learning learning techniques facilitate edge AI applications for enhanced, real-time handling of data. Dopamine is the cause of Parkinson’s that happens due to the interference of brain cells that produce the substance to regulate the communication of brain cells. The brain cells responsible for generating the dopamine perform adaptation, control, and movement with fluency. Parkinson’s motor symptoms appear on the loss of 60% to 80% of cells, due to the non-production of appropriate dopamine. Recent research found a close connection between the speech impairment and PD. Many researchers have developed a classification algorithm to identify the PD from speech signals. In this article, Adaptive Crow Search Algorithm (ACSA) and Deep Learning (DL)–based optimal feature selection method are introduced. The proposed model is the combination of CROW Search and Deep learning (CROWD) stack sparse autoencoder neural network. Parkinson’s dataset is taken for the experiment from the Irvine dataset repository at the University of California (UCI). In the first phase, dataset cleaning is performed to handle the missing values in the dataset. After that, the proposed ACSA algorithm is employed to find the scrunched feature vector. Furthermore, stack spare autoencoder with seven hidden layers is employed to generate the compressed feature vector. The performance of the proposed CROWD autoencoder model is compared with three feature selection approaches for six supervised classification techniques. The experiment result demonstrates that the performance of the proposed CROWD autoencoder feature selection model has outperformed the benchmarked feature selection techniques: (i) Maximum Relevance (mRMR) (ii) Recursive Feature Elimination (RFE), and (iii) Correlation-based Feature Selection (CFS), to classify Parkinson’s disease. This research has significance in the healthcare sector for the enhancement of classification accuracy up to 0.96%.
In-situ infrared spectra of hydroxyl in wadsleyite and ringwoodite at high pressure and high temperature

Abstract The infrared spectra of hydroxyl in synthetic hydrous wadsleyite (β-Mg2SiO4) and ringwoodite (γ-Mg2SiO4) were measured at room temperature up to ∼18.8 GPa for wadsleyite and up to ∼21.5 GPa for ringwoodite. High-temperature spectra were measured in an externally heated diamond-anvil cell up to 650 °C at ∼14.2 GPa for wadsleyite and up to 900 °C at ∼18.4 GPa for ringwoodite. The synthetic samples reproduce nearly all the important OH bands previously observed at ambient conditions. Only subtle changes were observed in the infrared spectra of both minerals, both upon compression at room temperature and upon heating at high pressure. For wadsleyite, upon compression to ∼18.8 GPa, the frequencies of the bands at ∼3600 cm-1 remain almost unchanged, while the main bands at 3200-3400 cm-1 shift to lower frequencies. During heating at 14.2 GPa to 650 °C the bands at 3200-3400 cm-1 broaden and shift to slightly lower frequencies. For ringwoodite, upon compression to ∼21.5 GPa, the main bands at 3115 cm-1 progressively shift to lower frequencies. During heating at 18.4 GPa to 900 °C, no frequency shift was observed for the band at ∼3700 cm-1, but the band initially at ∼3115 cm-1 shifts very slightly to higher frequencies, which should yield almost the same band positions at 1300-1400 °C as those measured at ambient conditions. Our data suggest that water speciation in hydrous wadsleyite and ringwoodite at ambient conditions may be comparable to that under mantle conditions, except perhaps for subtle changes in hydrogen bonding. The low OH-stretching frequencies in wadsleyite and ringwoodite under transition zone conditions imply a large H/D fractionation during degassing of the deep mantle. This may explain the apparent disequilibrium between the hydrogen isotopic composition of the upper mantle and the ocean.