Miracle-dz/UniFAR-FTUs huggingface dataset:
MALAYSIAN NETIZENS’ PERCEPTIONS OF 1MDB: A THEMATIC ANALYSIS

Background and Purpose: This article analyses the 1Malaysia Development Bhd (1MDB) political scandal as a case study to examine how an issue is discursively shaped online by netizens’ perceptions of the scandal. The study has two objectives: firstly, to explore netizens’ perceptions of 1MDB and how they reacted to the news reported based on the online exposés appearing throughout 2015. Secondly, it aims to examine whether the discourse regarding 1MDB among netizens on an online platform, The Malaysian Insider Facebook page, meets the characteristics of a practical discourse in an online context, as proposed by Jurgen Habermas. Methodology: A total of 1950 Facebook comments related to 210 1MDB articles in 2015 were analysed. The articles were linked and published by The Malaysia Insider Facebook page. The analysis was conducted using thematic analysis via NVivo software to explore the perceptions of the selected netizens about 1MDB and how the online discourse on 1MDB matched the characteristics proposed by Jurgen Habermas for practical online discourse. Findings: Four themes emerged, namely Najib as the Prime Minister, the 1MDB Debate Controversy, the Opposition position on 1MDB and the investigation of the 1MDB scandal. Based on the online discourse, it was evident that consumption of 1MDB news on Facebook Journal of Nusantara Studies 2021, Vol 6(1) 351-372 ISSN 0127-9386 (Online) http://dx.doi. org/10.24200/jonus.vol6iss1pp351-372 352 led Malaysian netizens to form their own perceptions of the scandal. The emergent themes also illustrate that the online discourse met the characteristics of practical discourse suggested by Jurgen Habermas. Contributions: This empirical contribution fills a gap in the current knowledge as few studies have been conducted on the online discourse of the 1MDB political scandal among Malaysian netizens. Currently, no research is documented on the 1MDB political scandal from the netizens’ perspective other than the first author’s PhD thesis. This research is, therefore, beneficial to new media studies as researchers normally investigate or explore a specific issue when it has a conclusion; here, a risk was taken to conduct the study while 1MDB was still under investigation.
Reactive and Proactive Anomaly Detection in Crowd Management Using Hierarchical Temporal Memory

An effective crowd management system offers immediate reactive or proactive handling of potential hot spots, including overcrowded situations and suspicious movements, which mitigate or avoids severe incidents and fatalities. The crowd management domain generates spatial and temporal resolution that demands diverse sophisticated mechanisms to measure, extract and process the data to produce a meaningful abstraction. Crowd management includes modelling the movements of a crowd to project effective mechanisms that support quick emersion from a dangerous and fatal situation. Internet of Things (IoT) technologies, machine learning techniques and communication methods can be used to sense the crowd characteristic /density and offer early detection of such events or even better prediction of potential accidents to inform the management authorities. Different machine learning methods have been applied for crowd management; however, the rapid advancement in deep hierarchical models that learns from a continuous stream of data has not been fully investigated in this context. For example, Hierarchical Temporal Memory (HTM) has shown powerful capabilities for application domains that require online learning and modelling temporal information. This paper proposes a new HTM-based framework for anomaly detection in a crowd management system. The proposed framework offers two functions: (1) reactive detection of crowd anomalies and (2) proactive detection of anomalies by predicting potential anomalies before taking place. The empirical evaluation proves that HTM achieved 94.22%, which outperforms k-Nearest Neighbor Global Anomaly Score (kNN-GAS) by 18.12%, Independent Component Analysis-Local Outlier Probability (ICA-LoOP) by 18.17%, and Singular Value Decomposition Influence Outlier (SVD-IO) by 18.12%, in crowd multiple anomaly detection. Moreover, it demonstrates the ability of the proposed alerting framework in predicting potential crowd anomalies. For this purpose, a simulated crowd dataset was created using MassMotion crowd simulation tool.
Reduction in COPD exacerbations during COVID-19: a systematic review and meta-analysis

Background Reports have suggested a reduction in exacerbations of chronic obstructive pulmonary disease (COPD) during the coronavirus (COVID-19) pandemic, particularly hospital admissions for severe exacerbations. However, the magnitude of this reduction varies between studies. Method Electronic databases were searched from January 2020 to May 2021. Two independent reviewers screened titles and abstracts and, when necessary, full text to determine if studies met inclusion criteria. A modified version of the Newcastle-Ottawa Scale was used to assess study quality. A narrative summary of eligible studies was synthesised, and meta-analysis was conducted using a random effect model to pool the rate ratio and 95% confidence intervals (95% CI) for hospital admissions. Exacerbation reduction was compared against the COVID-19 Containment and Health Index. Results A total of 13 of 745 studies met the inclusion criteria and were included in this review, with data from nine countries. Seven studies could be included in the meta-analysis. The pooled rate ratio of hospital admissions for COPD exacerbations during the pandemic period was 0.50 (95% CI 0.42-0.58). Findings on the rate of community-treated exacerbations were inconclusive. Three studies reported a significant decrease in the incidence of respiratory viral infections compared with the pre-pandemic period. There was not a significant relationship between exacerbation reduction and the COVID-19 Containment and Health Index. Conclusion There was a 50% reduction in admissions for COPD exacerbations during the COVID-19 pandemic period, associated with a reduction in respiratory viral infections that trigger exacerbations. We provide pooled evidence supporting the potential effectiveness of COVID-19 preventive interventions in reducing the risk of admissions for COPD exacerbations.
Performance evaluation of the BD SARS-CoV-2 reagents for the BD MAXâ¢ system

Background The RT-qPCR assay for detecting SARS-CoV-2 virus is the favorable approach to test suspected COVID-19 cases. However, discordant results can occur when two or more assays are compared. Variability in analytical sensitivities between assays, among other factors, may account for these differences in reporting. Methods The limits of detection (LOD) for the BD SARS-CoV-2 Reagents for BD MAXTM System ('MAX SARS-CoV-2 assay'), the Biomerieux BioFire(R) Respiratory Panel 2.1 ('BioFire SARS-CoV-2 assay'), the Roche cobas SARS-CoV-2 assay ('cobas SARS-CoV-2 assay'), and the Hologic Aptima(R) SARS-CoV-2 assay Panther(R) ('Aptima SARS-CoV-2 assay') RT-qPCR systems were determined using a total of 84 contrived nasopharyngeal specimens with seven target levels for each comparator. The positive and negative percent agreement (PPA and NPA, respectively) for the MAX SARS-CoV-2 assay were compared to the Aptima SARS-CoV-2 assay in a post-market clinical study utilizing 708 paired nasopharyngeal specimens collected from suspected COVID-19 cases. Discordant results were further tested by the cobas and BioFire SARS-CoV-2 assays. Results The measured LOD for the MAX SARS-CoV-2 assay (251 copies/mL) was comparable to the cobas SARS-CoV-2 assay (298 copies/mL) and the BioFire SARS-CoV-2 assay (302 copies/mL); the Aptima SARS-CoV-2 assay had a LOD of 612 copies/mL. The MAX SARS-CoV-2 assay had a PPA of 100% (95%CI: [97.3%-100.0%]) and a NPA of 96.7% (95%CI: [94.9%-97.9%]) when compared to the Aptima SARS-CoV-2 assay. Conclusions The MAX SARS-CoV-2 assay exhibited a high analytical sensitivity and specificity for SARS-CoV-2 detection. The clinical performance of the MAX SARS-CoV-2 assay agreed with another sensitive EUA cleared assay.
Systematic Review and Meta-analysis on COVID-19 Vaccine Hesitancy

Background: The presented meta-analysis was developed in response to the publication of several studies addressing COVID-19 vaccines hesitancy. We aimed to identify the proportion of vaccine acceptance and rejection, and factors affecting vaccine hesitancy worldwide especially with the fast emergency approval of vaccines. Methods: Online database search was performed, and relevant studies were included with no language restriction. A meta-analysis was conducted using R software to obtain the random effect model of the pooled prevalence of vaccine acceptance and rejection. Egger regression test was performed to assess publication bias. Quality assessment was assessed using Newcastle-Ottawa Scale quality assessment tool. Results: Thirty-nine out of 12246 articles met the predefined inclusion criteria. All studies were cross-sectional designs. The pooled proportion of COVID-19 vaccine hesitancy was 17% (95% CI: 14-20) while the pooled proportion of COVID-19 vaccine acceptance was 75% (95% CI: 71-79). The vaccine hesitancy and the vaccine acceptance showed high heterogeneity (I 2 =100%). Case fatality ratio and the number of reported cases had significant effect on the vaccine acceptance as the pooled proportion of vaccine acceptance increased by 39.95% (95% CI: 20.1-59.8) for each 1% increase in case fatality (P<0.0001) and decreased by 0.1% (95% CI: -0.2-0.01) for each 1000 reported case of COVID-19, P= 0.0183). Conclusion: Transparency in reporting the number of newly diagnosed COVID-19 cases and deaths is mandatory as these factors are the main determinants of COVID-19 vaccine acceptance.
Sepsis prediction via the clinical data integration system in the ICU

Sepsis is an essential issue in critical care medicine, and early detection and intervention are key for survival. We established the sepsis early warning system based on a data integration platform that can be implemented in ICU. The sepsis early warning module can detect the onset of sepsis 5 hours proceeding, and the data integration platform integrates, standardizes, and stores information from different medical devices, making the inference of the early warning module possible. Our best early warning model got an AUC of 0.9833 in the task of detect sepsis in 4 hours proceeding on the open-source database. Our data integration platform has already been operational in a hospital for months.
Spatial aerosol flow maldistribution: A design flaw confounding the proper calibration and data interpretation of stages “0” and “1” of the Andersen eight-stage nonviable cascade impactor

ABSTRACT We introduced monodisperse calibrant particles into an eight-stage non-viable Andersen cascade impactor (ACI) operated at 28.3 L/min and separately quantified the particle mass captured under each of the four concentric rings of nozzles on stages 0 and 1, the entry and succeeding stages of this impactor. On both stages, we found that each ring of nozzles has a particle capture efficiency behavior that differs from the others, and the fraction of calibrant particles deposited under each of the individual rings of nozzles depended on the particle size. We believe this behavior derives primarily from a radial flow velocity non-uniformity associated with recirculation zones introduced by the 110° expansion angle of the inlet cone. Because of these recirculation zones, the inertia of particles larger than about 5 µm aerodynamic diameter will cause their point-wise local concentration to differ from the concentration at the inlet entry. This concentration maldistribution continues to stage 1 primarily because of the annular collection plate at stage 0. The influence of the inlet cone aerodynamics on the performance of both stages means that the size of particles deposited on these plates will be uncertain unless the aerosol transport entering the impactor associated with calibration using monodisperse particles exactly simulates the in-use aerosol flow conditions. The degree of realism necessary in the calibration method has heretofore not been discussed in published calibrations of the ACI, introducing uncertainty in the size interpretation of the particle mass collected on stages 0 and 1 in practical applications of this impactor. Copyright © 2017 American Association for Aerosol Research
Investigating onset, cessation, relapse, and recovery: why you should, and how you can, use discrete-time survival analysis to examine event occurrence

In this article, we show how discrete-time survival analysis can address questions about onset, cessation, relapse, and recovery. Using data on the onset of suicide ideation and depression and relapse into cocaine use, we introduce key concepts underpinning the method, describe the action of the discrete-time hazard model, and discuss several types of main effects and interactions that can be included as predictors. We also comment on practical issues of data analysis and strategies for interpretation and presentation.
Solubility of AlPO4 and NaVO3 in NaF−AlF3 Melts

The temperatures of primary crystallization of cryolite in systems NaF−AlF3−AlPO4 and NaF−AlF3−NaVO3 were determined by thermal analysis. The measurements were performed at cryolite ratios (CR) equal to 2.5 and 2 [CR = n(NaF)/n(AlF3)]. It is evident that AlPO4 decreases the temperature of primary crystallization of cryolite more than NaVO3 at both selected cryolite ratios.
Painting technique to enhance pool boiling heat transfer in saturated FC-72

A benign method of generating a surface microstructure that provides pool boiling heat transfer enhancement is introduced. Pool boiling heat transfer results from an enhanced, horizontally oriented, rectangular surface immersed in saturated FC-72, indicate up to an 85 percent decrease in incipient superheat, a 70 to 80 percent reduction in nucleate boiling superheats, and a ∼109 percent increase in the critical heat flux ( CHF = 30 W/cm 2 ), beyond that of the nonpainted reference surface. For higher heat flux conditions (19 to 30 W/cm 2 ), localized dryout results in increased wall superheats (8 to 48°C). The enhanced surface heat transfer coefficients are four times higher than those from the reference surface and similar to those from the Union Carbide High Flux surface. Photographs that identify differences in bubble size and departure characteristics between the painted and reference surfaces are presented.
Process Controls of the Live Root Zone and Carbon Sequestration Capacity of the Sundarbans Mangrove Forest, Bangladesh

The conservation of coastal wetland ecosystems, like mangrove forests and salt marshes, represents a critical strategy for mitigating atmospheric emissions and climate change in the 21st century. Yet the existence of these environments is threatened by human-induced disturbances, namely deforestation and accelerated sea-level rise. Coastal systems maintain surface elevation in response to sea-level rise through a combination of physical and biological processes both above and below the ground surface. The quantification and relative contribution of belowground process controls (e.g., seasonal water content, organic matter decomposition) on surface elevation change is largely unexplored but crucial for informing coastal ecosystem sustainability. To address this knowledge deficit, we integrated measurements of surface elevation change of the live root zone (0.5 to 1 m depth) with geotechnical data from co-located sediment cores in the Sundarbans mangrove forest (SMF) of southwest Bangladesh. Core data reveal that the primary belowground controls on surface elevation change include seasonal fluctuations in pore-water content and the relative abundance of fine-grained sediments capable of volumetric expansion and contraction, supporting an elevation gain of ~2.42 ± 0.26 cm year−1. In contrast to many mangrove environments, the soils of the SMF contain little organic matter and are dominantly composed (>90%) of inorganic clastic sediments. The mineral-rich soil texture likely leads to less compaction-induced subsidence as compared to organic-rich substrates and facilitates surface equilibrium in response to sea level rise. Despite a relatively high soil bulk density, soil carbon (C) density of the SMF is very low owing to the dearth of preserved organic content. However, rates of C accumulation are balanced out by locally high accretion rates, rendering the SMF a greater sink of terrestrial C than the worldwide mangrove average. The findings of this study demonstrate that C accumulation in the SMF, and possibly other alluvial mangrove forests, is highly dependent on the continued delivery of sediment to the mangrove platform and associated settings.
Simultaneous RP-HPLC Method for determination of impurities in Formoterol Fumarate and Aclidinium Bromide in Pharmaceutical Dosage Forms

A simple, cost effective, sensitive, accurate and precise reverse phase high performance liquid chromatographic method is developed for the simultaneous determination of impurities in formoterol fumarate and aclidinium bromide in Duaklir Genuair (powder for inhalation) dosage form. Ascentis express C8, 15cm x 4.6mm, 2.7 µ i.d in gradient mode, with mobile phase containing 2% trimethylamine pH adjusted to 3 Orthophosphoric acid, acetonitrile (85:15 v/v) was used. A flow rate of 1.0mL/min and detection was carried out with 250 nm. The retention times of formoterol fumarate and aclidinium bromide were the 4.3 and 6.6min, respectively. The method is validated by determining its sensitivity, precision, linearity, accuracy. The proposed method is simple, rapid, sensitive, accurate and precise and so that it can be applied for routine quality control analysis of formoterol fumarate and aclidinium bromide in Duaklir Genuair (powder for inhalation) dosage forms.
Актуальные вопросы номенклатуры, состава и технологии стоматологических гелей

The aim of this work was to study the current state of the enumeration, research on the development of technology and dental gels. Revealed that the enumeration of dental gels included in the State Register of the Russian Federation, is quite limited and is represented mainly by means of an antimicrobial and anti-inflammatory action. It is shown that are currently under active research to expand the range of dental gels with different drugs pharmacological groups (local anesthetic, antibacterial, antiseptic, reparative and others action) both synthetic and natural origin, derived from medicinal plants. Revealed that the vast number of developed and are in the process of research dental gels are created using hydrophilic gelling agents, among which the most frequently used cellulose derivatives (methyl cellulose, sodium carboxymethyl cellulose, hydroxypropyl methylcellulose, and others), Polyethylene oxides of different brands, acrylic acid derivatives.
Prediction of Experimental Measurement Data for High Density Polyethylene and Polypropylene Solubility in Organic Solvents

Abstract High density polyethylene (HDPE) and polypropylene (PP) solubility in several pure and blend non-polar organic solvents was measured at 365–430 K temperature at atmospheric pressure, with polymer concentration of 0.5–25 g in 100 ml of solvent. The activity coefficients were estimated depending on the experimental solubility results for all the polymer-solvent systems. A non-ideal equation combined with activity coefficient was developed based on the crystallinity. A new correlation equation was attained, which is based on the melting temperature and heat of fusion using SSPS software. These two equations were used to predict the solid-liquid experimental data for the binary system polymer-solvent. The distinction between the experimental and model data was assessed by using mean absolute deviation percentage (MAD %). The non-ideal equation based on crystallinity and the new correlations showed low MAD %, displaying a close match with the experimental data.
Fluorescence Enhancement of Europium-Doped Yttrium Oxide Nanosheets Modified by HTTA

Stable Eu3+ doped single-layer rare-earth oxide nanosheets sol were successfully obtained via exfoliation of layer Y(1-X)EuxOBr in n-butanol solvent. After β-diketones modifying, novel inorganic/organic luminescent hybrids were successfully synthesized. At the mean time we discovered that the main charge transfer (Eu-O) excitation bands in nanosheets were replaced by more efficient π-π* electron transition excitation band s of the organic ligands in the hybrids. The emission bands of the 5D0-7F2 electric dipole transition in hybrids were enhanced greatly.
Review of polarity determination and control of GaN

Polarity issues affecting III-V nitride semiconductors are reviewed with respect to their determination and control. A set of conditions crucial to the polarity control of GaN is provided for each of the following growth techniques; molecular beam epitaxy (MBE), pulsed laser deposition (PLD) and hydride vapor phase epitaxy (HVPE). Although GaN films might have been deposited by identical growth methods using the same buffer layer technologies, there is often a conflict between the resulting polarities achieved by different research groups. In this paper, we present the implications of the conditions used in each of the processes used for two-step metalorganic chemical vapor deposition (MOCVD), demonstrating systematic control of the polarity of GaN films on sapphire substrates. The potential for confusion in polarity control will be explained, taking into account the implications clarified in our studies. The correlation between the polarity and the growth conditions will be discussed in order to provide a mechanism for the determination and control of the crystal polarity during the growth of GaN films.
Numerical Prediction and Experimental Investigation of Cavitation Erosion of Hydraulic Components Using HFC

Hydraulic devices play an essential role in mechanical engineering due to their high-power density, good controllability, flexible application and high robustness, which expose innovative methods of energy transmission. However, in applications where there is an increased risk of fire or explosion, the commonly used combustible mineral oils represent an unacceptable safety hazard. In such cases, fire-resistant, water-based hydraulic fluids are in demand. A special feature of these liquids is their high cavitation tendency and the associated strong erosion wear. The aim of this research is to predict the cavitation behaviour of HFC and the subsequent erosion phenomena using numerical methods and to validate the results with experiments. Additionally, experimental results for HFC were compared with HLP. The findings help to implement further developments to decrease the erosive effect of cavitation in high-pressure differences in hydraulic components. For this purpose, flow geometries of typical hydraulic components, e.g. valve and pump, are used for experimental and numerical investigation. The large-eddy simulation (LES) turbulent modelling is used with Zwart-Gerber cavitation model. The cavitation aggressiveness is quantified by cavitation erosion indices according to Nohmi.
Quasioptical modeling of wave beams with and without mode conversion. IV. Numerical simulations of waves in dissipative media

K. Yanagihara, I. Y. Dodin, 3 and S. Kubo Naka Fusion Institute, National Institutes for Quantum and Radiological Science and Technology, 311-0193, Naka, Ibaraki, Japan Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543, USA Department of Astrophysical Sciences, Princeton University, Princeton, New Jersey 08544, USA National Institute for Fusion Science, National Institutes of Natural Sciences, 509-5292, Toki, Gifu, Japan (Dated: May 19, 2021)