Miracle-dz/UniFAR-FTUs huggingface dataset:
The Impact of Australian Bushfires on Asthma Medicine Prescription Dispensing

Background: Air pollution can cause numerous health problems and increase the need for medicines to treat and prevent asthma in affected areas. There is limited evidence about the association between airborne particles with a diameter of 2.5 micrometres or smaller (PM2.5) and asthma medicine usage. This study examined the potential association between the levels of PM2.5 and the supply of prescription asthma medicines in the Australian Capital Territory (ACT), Australia, during the severe bushfire season between November 2019–January 2020. Methods: Daily data was obtained from an ACT air quality monitoring station from November 2019 to January 2020 (study period) and November 2018 to January 2019 (control period, no bushfire). The number and types of government-funded asthma medicine prescriptions were obtained from the Services Australia (government) website by searching under ‘Pharmaceutical Benefits Scheme Item Reports’ and using relevant item codes during the study and control periods. Results: The medians for PM2.5 levels for the study period were significantly higher than those for the control period (p < 0.001). There were increases in the number of dispensed prescriptions of short-acting beta-2 agonists (SABA), inhaled corticosteroids, and long-acting beta-2 agonists combined with inhaled corticosteroids. The greatest difference was seen with the inhaled corticosteroids: a 138% increase. Conclusions: The increase in the number of dispensed asthma prescriptions during the bushfire season should be used to inform the stock holdings of these medicines in preparation for future events to ensure access to lifesaving asthma medicines.
Dual-Band Eight-Antenna Array Design for MIMO Applications in 5G Mobile Terminals

This paper proposes a dual-band eight-antenna array for multiple-input and multiple-output (MIMO) applications in 5G mobile terminals. The designed MIMO antenna array comprises eight L-shaped slot antennas based on stepped impedance resonators (SIRs). The required dual-resonance can be obtained by adjusting the impedance ratio of the SIR, and good impedance matching can be ensured for each antenna element by tuning the position of the microstrip feed line. The experimental results show that a measured return loss of higher than 10 dB and a measured inter-element isolation of greater than 11.2 dB have been obtained for each antenna element with a simulated total efficiency of larger than 51% across the long term evolution (LTE) band 42 (3400–3600 MHz) and LTE band 46 (5150–5925 MHz). In addition, the measured envelope correlation coefficient (ECC) is lower than 0.1 between arbitrary two antenna elements, and the proposed MIMO antenna array realizes a simulated channel capacity of higher than 36.9 bps/Hz within both operation bands. Furthermore, the MIMO antenna array can maintain acceptable radiation and MIMO performance in the presence of specific anthropomorphic mannequin (SAM) head and human hands.
Influence of surface morphology on the immersion mode ice nucleation efficiency of hematite particles

Abstract. In this paper, the effect of the morphological modification of aerosol particles with respect to heterogeneous ice nucleation is comprehensively investigated for laboratory-generated hematite particles as a model substrate for atmospheric dust particles. The surface-area-scaled ice nucleation efficiencies of monodisperse cubic hematite particles and milled hematite particles were measured with a series of expansion cooling experiments using the Aerosol Interaction and Dynamics in the Atmosphere (AIDA) cloud simulation chamber. Complementary offline characterization of physico-chemical properties of both hematite subsets were also carried out with scanning electron microscopy (SEM), energy dispersive X-ray (EDX) spectroscopy, dynamic light scattering (DLS), and an electro-kinetic particle charge detector to further constrain droplet-freezing measurements of hematite particles. Additionally, an empirical parameterization derived from our laboratory measurements was implemented in the single-column version of the Community Atmospheric Model version 5 (CAM5) to investigate the model sensitivity in simulated ice crystal number concentration on different ice nucleation efficiencies. From an experimental perspective, our results show that the immersion mode ice nucleation efficiency of milled hematite particles is almost an order of magnitude higher at −35.2 °C
Xenon-133 and caesium-137 releases into the atmosphere from the Fukushima Dai-ichi nuclear power plant : determination of the source term , atmospheric dispersion , and deposition

A. Stohl, P. Seibert, G. Wotawa, D. Arnold , J. F. Burkhart, S. Eckhardt, C. Tapia, A. Vargas, and T. J. Yasunari NILU – Norwegian Institute for Air Research, Kjeller, Norway Institute of Meteorology, University of Natural Resources and Life Sciences, Vienna, Austria Central Institute for Meteorology and Geodynamics, Vienna, Austria Institute of Energy Technologies (INTE), Technical University of Catalonia (UPC), Barcelona, Spain Department of Physics and Nucelar Engineering (FEN),Technical University of Catalonia (UPC), Barcelona, Spain Universities Space Research Association, Goddard Earth Sciences and Technology and Research, Columbia, MD 21044, USA
Global modeling of secondary organic aerosol formation from aromatic hydrocarbons : high-vs low-yield pathways

Global modeling of secondary organic aerosol formation from aromatic hydrocarbons: highvs low-yield pathways D. K. Henze, J. H. Seinfeld, N. L. Ng, J. H. Kroll, T. -M. Fu, D. J. Jacob, and C. L. Heald Department of Chemical Engineering, California Institute of Technology, Pasadena, California, USA Aerodyne Research, Inc., Billerica, Massachusetts, USA School of Engineering and Applied Sciences and Department of Earth and Planetary Sciences, Harvard University, Cambridge, Massachusetts, USA Center for Atmospheric Sciences, University of California, Berkeley, California, USA Received: 1 August 2007 – Accepted: 9 October 2007 – Published: 15 October 2007 Correspondence to: D. K. Henze (daven@caltech.edu)
Near-surface velocity modeling using a combined inversion of surface and refracted P-waves

We propose an innovative workflow based on the complementary use of Rayleigh waves alongside standard P-wave refraction tomography, which better depicts the shallow part of the near-surface P-wave velocity model. Our surface-wave processing sequence led to an S-wave near-surface velocity field that can be used as a constraint for P-wave tomography and can improve P-wave statics determination. Rayleigh waves are processed in three steps. The first step consists of an accurate frequency-dependent traveltime measurement for each selected source-receiver pair in which the phase difference between two adjacent traces is used to derive the phase velocity. Then, a frequency-dependent surface-wave velocity tomography is performed from the picked traveltimes. Finally, after surface-wave tomography, the frequency-dependent phase velocity volume output by the tomography is inverted to deliver an S-wave near-surface velocity model. This model is used to constrain the first-arrival P-wave tomography. To illustrate our.
Microfacies Response to the Drowning Process of the Carbonate Platform:A Case Study on the Ordovician Succession at the Taoqupo Section,Tongchuan City,Shannxi Province,North China Block

During the Late Ordovician Period,the carbonate platform at the south margin of the Ordos region,North China Block,had been drowned.This drowning caused the earlier rimmed-carbonate platform into the later distal steepened-ramp ones.As the most representative section at the south margin of this platform,the Taoqupo section in Tongchuan City,Shaanxi Province,entirely recorded this drowning process.Based on the observation at the outcrop and the microfacies analysis under the thin-sections,three phases of the drowning process of the carbonate platform can be distinguished,including the pre-drowning phase,the drowning phase and the post-drowning phase.At this section,the drowning surface is the litho-stratigraphical boundary between the Jinhe Formation and the Jinsushan Formation,which indicates an abrupt change of the depositional environment from the typical reef-shoal-dominated platform into the much deeper water facies around the offshore shelf area.The pre-drowning phase is the upper part of the Jinhe Formation,which is characterized by the typical platform-marginal biohermal facies with the bio-sparite microfacies,the pelmicsparite microfacies,and the coated bioclastic grainstone microfacies,as well as the intra-spararenite microfacies;The drowning phase is a condensed depositional interval at the base of the Jinsushan Formation,mainly represented by the micrite and fossiliferous micrite in microfacies,which suggests a deeper water offshore shelf environment;The post-drowning phase is the middle and upper part of the Jinsushan Formation and the lower of the Taoqupo Formation,which was shown by the offshore shelf to the slope of the platform-margin facies with the fossiliferous micrite,the sparse biomicrite and the spiculite marlstone in microfacies.Combining with the regional data of the stratigraphic and the tectonic research,it can be concluded that this drowning event should be triggered by the ladder-shape faults developed at the margin of the Ordos carbonate platform,caused by the subduction of the Yangtze Block to the North China Block along the Qinling Orogen during the Late Ordovician Period.All the microfacies associations at the Taoqupo section,from the upper of the Jinhe Formation to the lower of the Taoqupo Formation,correspond to the complete process of this specific macroscopic drowning event in the vivid microscopic angle.
Eleutherococcus divaricatus Fruits Decrease Hyaluronidase Activity in Blood Serum and Protect from Antioxidative Damages in In Vitro Model

Fruits are very important dietary components and a source of biologically active compounds used in nutritional pharmacology. Particularly due to the presence of polyphenolic compounds, fruits play an important role in the prevention of diseases of civilization. Therefore, it is important to study the phytochemicals and biological activity of fruits, especially those with a long-standing use in ethnomedicine. In this study, we determined the chemical profile and biological activity of a methanolic extract of the Eleutherococcus divaricatus fruits. Amongst nine polyphenols studied, only chlorogenic acid, protocatechuic acid, and eleutheroside E have been detected. The extract showed a weak anti-hyaluronidase activity from bovine testicular in a range of 9.06–37.70% and quite high for human serum hyaluronidase from children diagnosed with acute leukemia in a range of 76–86%. A weak anti-tyrosinase activity was obtained in a range of 2.94–12.46%. Moreover, the extract showed antioxidant properties against DPPH radical, ABTS radical, and O2•−. In addition, the antioxidant activity of the extract was evaluated by FRAP assay and Fe2+ ion chelation assay. These preliminary studies partially justify the traditional use of the plant in inflammatory- and immune-related diseases, in which hyaluronidase and free radicals can participate. A difference in human serum hyaluronidase inhibition may result from the inter-patient variability. Regardless of that, the results mean that polyphenolic compounds may stimulate activity of hyaluronidase, as well as to protect cells from the oxidative damages. However, further studies in ex vivo and in vivo models are needed, including blood isolated from a larger number of patients.
Correlation between Morphological and Hemodynamic Parameters of Carotid Arteries and Cerebral Vasomotor Reactivity

The function of cerebral small vessels can be assessed using cerebral vasomotor reactivity (VMR). Our aim in this retrospective cross-sectional study was to investigate a correlation between carotid artery stenosis measured through ultrasonographic morphological and hemodynamic parameters and cerebral VMR. A total of 285 patients (125 males; mean age 54) were included. The breath-holding index (BHI) was used to evaluate cerebral VMR. Ultrasonographic carotid artery parameters were collected: the presence and characteristics of carotid plaques, the degree of carotid diameter stenosis, intima–media thickness (IMT), peak systolic velocity (PSV), and end diastolic velocity (EDV). Additionally, hemodynamic parameters of the middle cerebral artery (MCA) were evaluated, including the mean flow velocity (MFV) and pulsatility index (PI). The following was collected from patients’ medical histories: age, gender, and vascular risk factors. A negative correlation between the BHI and age (r = −0.242, p < 0.01), BHI and the presence of carotid plaques, BHI and IMT (r = −0.203, p < 0.01), and BHI and the PI of MCA on both sides (r = −0.268, p < 0.01) was found. We found a positive correlation between the BHI in the left MCA and EDV in the left internal carotid artery (r = 0.121, p < 0.05). This study shows the correlation between cerebral VMR and carotid stenosis but indicates a higher influence of morphological parameters on VMR values.
One Land, One Nation, One Language: An Analysis of Indonesia's National Language Policy

Indonesia, virtually alone among post-colonial nations, has been successful at promoting an indigenous language as its national language. The Indonesian language was developed as a national language from the Malay language in what has been seen by some as a daring decision. In truth, it was the only logical choice, and the lack of a major international language playing a role in Indonesia may actually be a detriment. In this study, Indonesia’s language situation is compared to that of its neighbors Malaysia and the Philippines.
Determination of Shale Volume and Distribution Patterns and Effective Porosity from Well Log Data Based On Cross-Plot Approach for A Shaly Carbonate Gas Reservoir

Determination of shale volume distribution is one of the most important factors that has to be considered in formation evaluation, since existence of shale reduces effective porosity and permeability of the reservoir. In this paper, shale volume and distribution (dispersed, laminar and structural) and formation effective porosity are estimated from well log data and cross-plots. Results show that distribution of shale is mainly dispersed with few of laminar ones, and the quality of reservoir (effective porosity) decreases with depth resulting in low productivity of gas wells drilled in lower zones. Good agreement of estimated shale volumes and effective porosities from neutron-density cross-plot with the values determined from gamma ray log (CGR) and core analysis demonstrates the accuracy and applicability of these plots in determination of petrophysical parameters from conventional log data.
School-Based Pre- and Post-Intervention Tests Assessing Knowledge about Healthy Lifestyles: A National School Health Awareness Campaign on Children Aged between 3 and 12 Years Old

In response to the diverse health challenges faced by today’s youth and their extensive time spent in schools, we conducted a school health awareness campaign aimed at prioritizing well-being and academic performance. This analytical longitudinal study, spanning 27 schools in Lebanon, aimed to assess the impact of the awareness campaign on the health knowledge and practices of 5-, 8-, and 11-year-old students throughout pre- and post-intervention testing focused on general health and healthy habits, employing 11, 14, and 15 questions tailored to 5, 8, and 11 year olds, respectively. The questions covered various aspects, including sleep, personal and dental hygiene, nutrition, physical activity, addiction, security measures, and bullying. Out of the 7100 students who participated, 16.11% (1144 students) were evaluated before and after the campaign. The results indicated a significant increase in health awareness post-intervention across all age groups. For instance, in 5-year-olds, limited awareness decreased from 91.6% to 36.38%, while adequate awareness rose from 8.03% to 62.3%. Improvement varied across health knowledge topics, with security-related questions showing the highest enhancement. Factors such as governorate, normal-weight status, and close supervision influenced improvement. However, no significant correlations were found with school type, size, gender, age, nationality, parental factors, or comorbidities. The study concludes that the school health awareness campaign successfully heightened children’s health awareness, advocating for the integration of regular health promotions into the standard educational curriculum.
Classification Prediction of Alzheimer’s Disease and Vascular Dementia Using Physiological Data and ECD SPECT Images

Alzheimer’s disease (AD) and vascular dementia (VaD) are the two most common forms of dementia. However, their neuropsychological and pathological features often overlap, making it difficult to distinguish between AD and VaD. In addition to clinical consultation and laboratory examinations, clinical dementia diagnosis in Taiwan will also include Tc-99m-ECD SPECT imaging examination. Through machine learning and deep learning technology, we explored the feasibility of using the above clinical practice data to distinguish AD and VaD. We used the physiological data (33 features) and Tc-99m-ECD SPECT images of 112 AD patients and 85 VaD patients in the Taiwanese Nuclear Medicine Brain Image Database to train the classification model. The results, after filtering by the number of SVM RFE 5-fold features, show that the average accuracy of physiological data in distinguishing AD/VaD is 81.22% and the AUC is 0.836; the average accuracy of training images using the Inception V3 model is 85% and the AUC is 0.95. Finally, Grad-CAM heatmap was used to visualize the areas of concern of the model and compared with the SPM analysis method to further understand the differences. This research method can quickly use machine learning and deep learning models to automatically extract image features based on a small amount of general clinical data to objectively distinguish AD and VaD.
Theoretical and Observed Breaking Wave Height on a Barred Macrotidal Beach: Implications for the Estimation of Breaker Index on Beaches with Large Tidal Range

ABSTRACT Héquette, A. and Cartier, A. , 2016. Theoretical and observed breaking wave height on a barred macrotidal beach: Implications for the estimation of breaker index on beaches with large tidal range. In: Vila-Concejo, A. ; Bruce, E. ; Kennedy, D.M. , and McCarroll, R.J. (eds.), Proceedings of the 14th International Coastal Symposium (Sydney, Australia). Journal of Coastal Research, Special Issue, No. 75, pp. 861–866. Coconut Creek (Florida), ISSN 0749-0208. Although a large number of studies were dedicated to the observation and prediction of wave height at breaking, field investigations were essentially carried out in micro- to mesotidal environments. Here we report the results of a study conducted on a barred macrotidal beach of northern France during which video observations of wave breaking were carried out simultaneously with measurements of wave data using a series of hydrodynamic instruments deployed across the intertidal and the nearshore zones and an offshore wave buoy. Our results show that waves were breaking when the ratio of wave height to depth (Hb/hb) was comprised between approximately 0.2 to 0.45, the lower value being slightly lower than what is commonly reported in the literature for macrotidal beaches. Comparison of measured and calculated wave height at breaking using a series of predictive equations revealed that the Rattanapitikon et al. (2003) formula gave the best results for our data set. Predicted breaker heights were nevertheless overestimated when using offshore wave measurements and better results were obtained with wave data recorded in 5 m water depth instead. This can be explained by the presence of offshore tidal sand banks that are responsible for significant wave refraction and wave energy dissipation. These results contribute to determine more precisely the range of appropriate breaker index values for barred macrotidal beaches and highlight that nearshore wave parameters should be used rather than offshore wave statistics for predicting breaking wave height and breaking depth where sand banks strongly alter wave characteristics.
Ionospheric Response to a Solar Eclipse in the Equatorial Anomaly Region

The ionospheric total electron contents(TEC)during the total eclipseof October 24,1995 were observed by means of the Global Positioning System(GPS)receivers located at Wuchang and Guangzhou.The observationsshowed that there were obvious effects of the eclipse on the ionosphere.The eclipse gave rise to decreases in the TEC in comparison with an establishedTEC reference level,refered to as the negative deviations of the TEC.The deeper the obscuration degree was,the larger was the negative deviation.Furthermore,the restoration of the negative deviations was delayedby about 2 hours after the last contact of the eclipse.
Validation and Improvement of the Saga Fall Risk Model: A Multicenter Retrospective Observational Study

Purpose We conducted a pilot study in an acute care hospital and developed the Saga Fall Risk Model 2 (SFRM2), a fall prediction model comprising eight items: Bedriddenness rank, age, sex, emergency admission, admission to the neurosurgery department, history of falls, independence of eating, and use of hypnotics. The external validation results from the two hospitals showed that the area under the curve (AUC) of SFRM2 may be lower in other facilities. This study aimed to validate the accuracy of SFRM2 using data from eight hospitals, including chronic care hospitals, and adjust the coefficients to improve the accuracy of SFRM2 and validate it. Patients and Methods This study included all patients aged ≥20 years admitted to eight hospitals, including chronic care, acute care, and tertiary hospitals, from April 1, 2018, to March 31, 2021. In-hospital falls were used as the outcome, and the AUC and shrinkage coefficient of SFRM2 were calculated. Additionally, SFRM2.1, which was modified from the coefficients of SFRM2 using logistic regression with the eight items comprising SFRM2, was developed using two-thirds of the data randomly selected from the entire population, and its accuracy was validated using the remaining one-third portion of the data. Results Of the 124,521 inpatients analyzed, 2,986 (2.4%) experienced falls during hospitalization. The median age of all inpatients was 71 years, and 53.2% were men. The AUC of SFRM2 was 0.687 (95% confidence interval [CI]:0.678–0.697), and the shrinkage coefficient was 0.996. SFRM2.1 was created using 81,790 patients, and its accuracy was validated using the remaining 42,731 patients. The AUC of SFRM2.1 was 0.745 (95% CI: 0.731–0.758). Conclusion SFRM2 showed good accuracy in predicting falls even on validating in diverse populations with significantly different backgrounds. Furthermore, the accuracy can be improved by adjusting the coefficients while keeping the model’s parameters fixed.