Miracle-dz/UniFAR-FTUs huggingface dataset:
Research productivity, quality, and impact metrics of Australian psychology academics

ABSTRACT Objective: This project aimed to provide normative data from SciVal on the research outputs of Australian psychology academics. Normative data are presented by academic level, university network, and estimated career stage. Additional analyses identify which SciVal metrics (measured over a short time window) predict lifetime performance indicators. Method: Data from 749 psychology academics across 24 universities belonging to the various Australian university networks were extracted from Scopus and SciVal (a tool including metrics of recent research quantity, quality, and impact). Metrics included number of outputs and citations, citations per output, Field Weighted Citation Impact, percentage of outputs in the top 10% by citations or journal rank, and percentage of outputs with international or corporate collaborators. Results: Metrics related to quantity of outputs and citations increased with academic level and career stage. For other SciVal metrics, academics at the more senior levels (D and/or E) often outperformed Level B academics. Academics at Group of Eight universities tended to outperform academics affiliated with other networks by overall outputs and citations. These differences were less consistent for other SciVal metrics. A range of SciVal metrics predicted lifetime metrics. Conclusion: These data provide up-to-date norms to facilitate evaluation of Australian psychology academics using SciVal. KEY POINTS What is already known about this topic: Metrics of research quantity, quality, and impact are increasingly influential in research evaluation. Recent norms for Australian psychology academics stratified by academic level and university affiliation were published by Mazzucchelli et al. (2019). These norms documented significant differences in publications, citations, and h-index for staff at different academic levels and across academics affiliated with different university networks. What this topic adds: This study provides up-to-date norms broken down by academic level, university network, and estimated career stage for a range of new metrics of research quantity, quality, and impact available from SciVal. Analyses are also conducted to identify which SciVal metrics (which are based on publications in the recent past) predict lifetime performance indicators. Senior academics generally outperformed junior academics on most metrics. Group of Eight academics outperformed academics affiliated with other university networks on metrics of raw outputs and citations, but not as consistently for other metrics. A number of SciVal metrics predict lifetime performance indicators.
Isovalent Doping Effect on Structural, Optical Properties and Dispersion Parameters of Layered Perovskite La2-xAxTi2O7 (A = Bi, Ce, and Y, With x = 0.0 and 0.1)

Lanthanum titanate nanoparticles of La2-xAxTi2O7 (the undoped is denoted by LTO and the monodoped with Bi, Ce, and Y is denoted by LBTO, LCTO and LYTO, respectively) were prepared by sol-gel route. X-ray diffraction (XRD) reveals that these compounds crystallize as a monoclinic layered perovskite-like structure with a space group P21. UV-visible diffuse reflectance spectroscopy was employed to characterize the optical properties and hence the dispersion parameters. Optical transmittance and reflectance were investigated to obtain more in-depth insight into the optical properties and optoelectronic behavior of studied nanoparticles. The data collected reveal that the samples have a wide band gap (Eg) that varies between 3.50 and 3.88 eV. By introducing the Ce ion into the host matrix LTO, the optical gap energy was decreased from 3.69 to 3.51 eV despite a low doping content of 5%. However, the Urbach energy (EU) was increased from 0.28 to 0.85 eV. The dispersion of the refractive index has been studied in terms of a single oscillator by the Wemple and Di-Domenico (WDD) model as well as important parameters such as the dispersion energy Ed, the excitation energy Eo and the third-order nonlinear (NL) optical susceptibility χ(3). Ed and E0 parameters have a crucial role in identifying the characteristics of optical materials and allow the calculations of the factors required for the design of spectral dispersion and optical communication devices.
Wave‐Driven Flow Along a Compact Marginal Ice Zone

Observations of surface waves and ice drift along a compact sea ice edge demonstrate the importance of waves in a marginal ice zone. An analytic model is presented for the along‐ice drift forced by the radiation stress gradient of oblique waves. A momentum balance using quadratic drag to oppose the wave forcing is sufficient to explain the observations. Lateral shear stresses in the ice are also evaluated, though this balance does not match the observations as well. Additional forcing by local winds is included and is small relative to the wave forcing. However, the wave forcing is isolated to a narrow region around 500‐m wide, whereas the wind forcing has effects on larger scales. The simplistic drag is assessed using observations of shear and turbulent dissipation rates. The results have implications for the shape and evolution of the ice edge, because the lateral shear may be a source of instabilities.
Productivity spillovers in two overlapping networks

ABSTRACT This paper studies productivity spillovers from colleagues and co-authors simultaneously in computer science accounting for both quantity and quality of peers. For the identification of colleague spillovers, we model colleagues’ mobility behaviours and use the estimated staying colleagues to instrument for the actual colleagues. For the identification of co-author spillovers, we exploit the characteristics of (estimated staying) colleagues of a scientist’s non-colleague co-authors to construct instruments. Our results provide strong evidence that co-authors generate significant spillover effects, while colleagues generally do not. One additional co-author on average increases a scientist’s productivity by 2%. Further analyses suggest that co-author spillovers function through the sharing of ideas and knowledge, and researchers with more co-authors are more interdisciplinary.
Pediatric tracheostomy in COVID-19 pandemic: a review

Coronavirus disease 2019 (COVID-19) is a highly contagious infection caused by a novel strain of coronavirus called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The severity of the COVID-19 infection of the pediatric patient varies broadly between a mild cough and fever to severe form of diseases such as acute respiratory distress syndrome (ARDS) for which some may need intubation and followed by mechanical ventilation through tracheostomy in case of prolonged ventilation. Performing tracheostomy in pediatric patient pose a challenge for health care professional as there is high chance of spread of the disease in COVID-19 pandemic. Surgical tracheostomy is an aerosol generating procedure which causes high chance of spread of infections. There is increasing concern for high transmissibility of the virus to the operating surgeon with their assisting staff and other nearby patients. Pediatric tracheostomy should be performed with close association with pediatric otolaryngologists, anesthesiologists and pediatric intensive care physicians along with adequate personal protective equipment (PPE) for smooth and safe execution of the procedure.
In Silico Validation of MCID Platform for Monte Carlo-Based Voxel Dosimetry Applied to 90Y-Radioembolization of Liver Malignancies

The aim was the validation of a platform for internal dosimetry, named MCID, based on patient-specific images and direct Monte Carlo (MC) simulations, for radioembolization of liver tumors with 90Y-labeled microspheres. CT of real patients were used to create voxelized phantoms with different density and activity maps. SPECT acquisitions were simulated by the SIMIND MC code. Input macros for the GATE/Geant4 code were generated by MCID, loading coregistered morphological and functional images and performing image segmentation. The dosimetric results obtained from the direct MC simulations and from conventional MIRD approach at both organ and voxel level, in condition of homogeneous tissues, were compared, obtaining differences of about 0.3% and within 3%, respectively, whereas differences increased (up to 14%) introducing tissue heterogeneities in phantoms. Mean absorbed dose for spherical regions of different sizes (10 mm ≤ r ≤ 30 mm) from MC code and from OLINDA/EXM were also compared obtaining differences varying in the range 7–69%, which decreased to 2–9% after correcting for partial volume effects (PVEs) from imaging, confirming that differences were mostly due to PVEs, even though a still high difference for the smallest sphere suggested possible source description mismatching. This study validated the MCID platform, which allows the fast implementation of a patient-specific GATE simulation, avoiding complex and time-consuming manual coding. It also points out the relevance of personalized dosimetry, accounting for inhomogeneities, in order to avoid absorbed dose misestimations.
Prescription pattern for pregnant and lactating mothers, and attitude towards the safety of medicines in a tertiary hospital in Bangladesh

Background: Prescription pattern of drugs particularly in the special physiological conditions, e.g., pregnancy and lactation have an impact on the mothers as well as the newborns. More specifically, the evaluation of the pattern can play a pivotal role to minimize their economic burden as well as improving their quality of life by reducing drug related toxicity. This study aims at the evaluation of the prescription pattern for the pregnant and lactating mothers for the first time in one of the largest tertiary hospitals in Bangladesh. Moreover, the perception of the patients about the safety of the medicines has also been enlightened. Methods: Data collected from 500 pregnant women and 335 lactating mothers were analyzed in the context of demographic characteristics, drug use pattern, USFDA drug risk category, and clinical complications to understand their attitude towards the safety of medicines. Results: The study suggests that the majority of the participants were aware of the safety and usage of medications during pregnancy and lactation. Moreover, the linear regression analysis clearly indicates that pregnant women were significantly associated with a higher attitude score compared to that of the lactating mothers. Conclusions: This study necessitates the requirement to implement the relevant WHO recommended core interventions and to develop a healthcare system by incorporating clinical pharmacists about the dispensing and sale of medicines in ensuring the rational use of medicines more efficiently.
Implikasi Distance Learning di Masa Pandemi COVID 19 terhadap Kecerdasan Emosional Anak di Sekolah Dasar

Dunia Pendidikan dihadapkan dengan situasi belajar yang tak biasa, sehingga guru diwajibkan untuk mengelola pembelajaran yang efektif ditengah pandemi Covid-19. Namun situasi saat ini tentu berpengaruh terhadap psikologi siswa dimana Distance Learning menuntut siswa belajar secara mandiri, dan secara sosial membatasi siswa untuk belajar melalui lingkungan sosial. Sehingga penelitian ini bertujuan untuk melihat sejauh mana implikasi Distance Learning terhadap perkembnagan kecerdasan emosional anak di Sekolah Dasar. Sample penelitian ini merupakan siswa di Sekolah Dasar di Kota Baubau yang tersebar di 3 Kecamatan yakni kecamatan betoambari, murhum, dan wangkanapi yang diambil secara acak dari populasi yang ada. Metode penelitian yang digunakan ialah metode deskriptif bertujuan untuk mendeskripsikan, gambaran atau lukisan secara sistematis, faktual dan akurat melalui analisis secara langsung terhadap fenomena yang terjadi di lapangan yang diselidiki berdasarkan fakta, sifat-sifat dan gambaran permasalahan. Instrument penelitian yang digunakan ialah melalui observasi, wawancara dan angket yang diisi oleh siswa guna melihat respon siswa terhadap kecerdasan emosionalnya. Temuan atau inovasi yang ditargetkan dalam penelitian ini sebagai bahan acuan dalam melaksanakan pembelajaran ditengah pandemi, dengan tetap memenuhi kebutuhan siswa terkait perkembangan emosional anak. Hasil penelitian ini menunjukkan adanya hambatan perkembangan kecerdasan emosional anak selama pembelajaran jarak jauh dari beberapa aspek perkembangan. Dampak distance learning mengakibatkan kurangnya aktivitas sosial, kejenuhan belajar, tekanan orang tua dalam mendampingi anaknya, proses belajar yang Panjang, penumpukan tugas, dan suasana belajar yang monoton mnjadi salah satu faktor penghambat kecerdasan emosional anak. Secara garis besar perubahan ini terjadi akibat tidak siapnya antara siswa, guru, dan orang tua menghadapi stuasi belajar yang berbeda. Selain itu fokus pencapaian hasil belajar hanya pada ranah kognitif, sehingga penanaman karakter dan kecerdasan emosional hanya didapatkan dari rumah saja tanpa adanya sosialisasi dan dukungan media inovatif penanaman karakter emosional pada siswa.
Low-Fluorine Ba-Deficient Solutions for High-Performance Superconducting YBCO Films

High-performing superconducting YBa2Cu3O7–x (YBCO) films are fabricated by a chemical solution deposition methodology through novel barium-deficient low-fluorine solutions. The precursor solutions, distinguished for being straightforward, inexpensive and eco-friendly, allow us to reduce the growing temperature of YBCO down to 750 °C. We investigated the influence of the growing temperatures on both the microstructure and superconducting properties of YBCO films by using conventional thermal annealing and flash-heating approaches. A clear correlation between the growing temperature (Tg) and the superconducting performance of the films was obtained with improved performances observed at low Tg.
Effects of smartphones on economic and subjective quality of life

Popular characterizations of smartphones presume the benefits of their use. To test this, we used a national survey data (n = 1,261) and examined smartphone effects on economic and subjective quality of life. Preliminary analyses revealed significant associations between smartphone use and earnings as well as quality of life. Two-stage least square models, however, suggested that those associations are potentially endogenous, or can be better recognized as ‘chicken-and-egg’ causality. Subsequently, we dissected the relationships into mediating steps and found an indirect effect of a certain feature of smartphone use — texting to diverse people — on earning, signaling that benefits of smartphone are rewarded indirectly through diverse social contacts. We also found the persistent power of socio-demographics in explaining a large variance for subjective quality of life. Taken together, this study aims to take a historical snapshot of smartphone effects at its ‘critical mass’ turn and make a fuller description of how smartphones will be utilized, shedding a light on societal nature of technological benefits.
After the International Mathematical Olympiad: The Educational/Career Decisions and the Development of Mathematical Talent of Former Australian Olympians

This study investigated the educational and career experiences of former Australian Olympians after their participation in the International Mathematical Olympiad. For this purpose, 15 former Olympians were engaged in interviews about how they developed their mathematical talent at university, how they selected their careers, and how they developed their mathematical talent within their careers. Thematic analysis was undertaken on the collected data. The resulting themes provided useful insights into the reasoning behind the selection of one’s area of study, the nature of the study experience, the factors considered in the career decision, and the nature of mathematical development in one’s career. Among other conclusions, the study suggested the applicability of two theories (i.e., the theory of work adjustment and the megamodel of talent development) in understanding the educational/career decisions of this group, the need for more systematic gifted education provisions within tertiary settings, and a prominent “brain drain” effect.
Optimal fiscal management in an economy with resource revenue‐financed government‐linked companies

We present a dynamic stochastic general equilibrium (DSGE) model in which a resource‐rich government allocates its excess resource rents between a resource stabilization fund and the facilitation of costly domestic fund‐raising activities of sovereign wealth funds (SWF), which holds a portfolio of government‐linked companies (GLCs). Despite being less productive efficient, GLCs' operation benefits from scale economies tied to the resource sector: its profitability is procyclical to commodity shocks. The model is estimated to Malaysia using the Bayesian approach, with the results suggesting a business cycle heavily influenced by resource shocks. Based on this, we solve numerically for a socially optimal combination of excess resource savings allocation. We find the present allocation to be sub‐optimal, regardless of the structural shocks. This suggests that the Malaysian economy might have hit its absorptive capacity constraint (i.e., a domestic economy saturated by GLCs).
Cardiac Autonomic Effects of Yearly Athletic Retreats on Elite Basket Players: Usefulness of a Unitary Autonomic Nervous System Indicator

In most sports athletic performance is determined by a combination of hard and soft modifiable components, encompassing physical and psychological elements that can be assessed with modern techniques based respectively on simple friendly methods: analysis of HRV and questionnaires. Specifically a novel % rank Autonomic Nervous System Indicator (ANSI) seems particularly useful also in elite sports. In this investigation we assessed ANSI capacity to detect the expected changes in cardiac autonomic regulation induced in the Italian basketball team by the participation (18 subjects) to the yearly biweekly Alpine training summer camp. We observed that ANSI increased from 58.8 ± 32.5 to 81.7 ± 27.5 (at the end of training camp) and did not change further in the subsequent initial weeks of competition season (overall p < 0.001). Congruent changes were observed in non-linear indices. Concomitantly indices of somatic symptoms were slightly reduced just at the end of the alpine training. We conclude that analysis of HRV and questionnaires might offer a simple, useful technique to monitor changes in cardiac autonomic regulation and psychological state in elite athletes providing a convenient additional element to evaluation of training routines also in the fields.
Assessing urbanization’s contribution to warming in mainland China using satellite-estimated air temperature data

The global surface air temperature (Ta) has increased significantly in the past several decades. However, it remains disputable how much effect rapid urbanization has had on warming trends in mainland China. In this study, a gridded Ta dataset was created using satellite data. Then, a series of satellite-based methods to evaluate the contribution of urbanization to warming were developed. Subsequently, the contribution of urbanization to warming during 2001–2018 was estimated. The national average Ta was found to have increased significantly (0.23°C/decade) in mainland China. At the national scale, the contribution of urbanization to warming was negligible (less than 1%) since built-up areas account for only approximately 2.66% of the area of China. At the regional scale, the contribution of urbanization was also small in most areas and was even negative in some areas. At the local scale, the contributions of urbanization to warming were 53.18%, 54.30% and 47.25% for the mean, maximum and minimum Ta, respectively, averaged for 31 major cities. This study demonstrated that the contribution of urbanization to warming was significant at the local scale, while the contribution of urbanization to large-scale warming was limited. The contribution of urbanization was underestimated at the local scale but overestimated at the national and regional scales by many previous studies due to the sparse and uneven distribution of meteorological stations.
Factors Influencing Household Adoption of Solar Home System in Baso Liben District, Amhara Regional State of Ethiopia

Background: Although solar energy is abundant, accessible, affordable, and ecologically and environmentally friendly, in rural Ethiopia the majority of households are still using pollutant kerosene for lighting. It is important to understand the demand and supply-side factors affecting adoption of technology. For this purpose, this study investigates the factors influencing household adoption of the solar home system (SHS). Methodology: The data used for the econometric model was collected from randomly selected 228 solar home system adopter and 143 non- adopter households in Baso Liben district, Amhara regional state of Ethiopia. The logistic regression model was applied to examine the factors affecting households’ willingness to adopt SHS. Results: The finding of this study shows significant variation in many of the socioeconomic and demographic characteristics between adopters and non-adopters. The result of the binary logistic regression model indicated that as income of a household increase, their propensity to adopt solar home system also increases. Likewise, participation in off-farm income activities, house type, educational status of the head, training access, media access, and prior knowledge of the technology positively correlated with the probability of adoption. On the other hand, the gender of the head (being male) and access to electricity were negatively associated with the adoption of SHS. Conclusion: Therefore, policy measures should create awareness through training, education, and information access or better media availability, and improving the economic status of households through creating lucrative off-farm income-earning opportunities to achieve enhanced adoption of the solar home system.
Timepix3 as solid-state time-projection chamber in particle and nuclear physics

Timepix3 devices are hybrid pixel detectors developed within the Medipix3 collaboration at CERN providing a simultaneous measurement of energy (ToT) and time of arrival (ToA) in each of its 256$\times$256 pixels (pixel pitch: 55 µm). The timestamp resolution below 2 ns allows a measurement of charge carrier drift times, so that particle trajectories can be reconstructed in 3D on a microscopic level ($z$-resolution: 30-60 µm). The 3D trajectory reconstruction methodology developed elsewhere is validated against simulated data providing ground truth information of the incident angles. The detector response functions and the achievable track angular resolutions are determined. For the first time, data taken with Timepix3 in the MoEDAL experiment are presented. After extracting singly charged minimum ionizing particle (MIP) tracks from the mixed radiation field using characteristic track features, their impact angles are evaluated. The directionality of the MIP radiation field is shown in elevation angle ($\theta$) versus azimuthal angle ($\phi$) maps, "unfolded" using the simulated detector responses to an omnidirectional radiation field.