Miracle-dz/UniFAR-FTUs huggingface dataset:
Tensile Properties of Australian Soft Rolling Skin Wool and Conventional Merino Wool

ABSTRACT Tensile properties are important to wool fiber because of their direct effect on the mechanical properties of wool yarns and fabrics. Many studies have been conducted to understand these fiber properties of conventional merino (CM) wool, while those of Australian Soft Rolling Skin (SRS) wool are not yet clear. In this work, SRS wool was compared with CM wool to find out the difference in these two types of wool and explore the underlying reasons for this difference. Experimental results indicate that there is no statistically significant difference in the breaking strength between SRS and CM wool, while the average breaking elongation is slightly higher for SRS wool (37%) than CM wool (34%). SRS wool (2.38 GPa) has a lower modulus than CM wool (2.53 GPa). The lower coefficient of variation of mean fiber diameter (MFD) along fiber length (fiber irregularity) is likely responsible for the higher breaking elongation for SRS wool. These findings add new knowledge to the literature on SRS wool and may have implications for the processing performance of SRS wool.
Harnessing the disruption on medical trainee education due to COVID-19 in New South Wales, Australia

The coronavirus disease (COVID-19) pandemic has caused disruption and uncertainty for junior medical doctor training and education. This has compounded the existing stress experienced by this cohort. However, by choosing appropriate educational models, as well as using novel educational approaches and advancing our online technology capabilities, we may be able to provide acceptable and even, superior solutions for educational training moving forward, as well as promote trainee wellbeing during these uncertain times.
Terrorism’s Impact on Mental Health Outcomes among Directly and Indirectly Exposed Victims and the Development of Psychopathology

After the events of 9/11, many police-responders developed post-traumatic stress disorder (PTSD) and were potentially vulnerable to developing depression and/or anxiety; in addition, nearly half of police with probable PTSD had comorbid depression and anxiety. Having in mind that victims who experience the effects of terrorism are exposed to high levels of psychological damage, we thus aimed to determine how sequelae of a terrorist act directly and indirectly affect victims. Quantitative synthesis findings were concluded on the basis of 200 records that met the inclusion criteria out of a total of 650. We grouped the patients according to their level of exposure to the WTC terrorist attack on 11 September 2001. The Level I group included individuals who had experienced the traumatic event and/or those who had observed the attack. The Level II group consisted of rescuers and/or persons who cleaned up debris in the area after the attack. The Level III group comprised the victims’ families. Our research enabled us to create a profile for those who were most vulnerable to mental disorders after the WTC terrorist attack. Patients who had survived the terrorist attack and/or those who had observed the incident exhibited fewer traumatic symptoms and a lower percentage of suicidal thoughts in comparison to individuals who had worked as rescuers or cleaning staff in the area after the attack. The number of symptoms rose along with increased contact time with the stressor. The dominant symptom was the triad of intrusion, avoidance, and hyperarousal. The findings may confirm the positive effect of protracted court cases in legal proceedings for compensation on the maintenance and development of psychopathology. Our research may contribute to a better understanding of the consequences of terrorism outcomes on the human psyche and be used in the development of standards for dealing with victims of terrorism’s impact.
OECD Taxonomy of Economic Activities Based on R&D Intensity

This paper provides a new taxonomy of industries according to their level of R&D intensity - the ratio of R&D to value added within an industry. Manufacturing and non-manufacturing activities are clustered into five groups (high, medium-high, medium, medium-low, and low R&D intensity industries), drawing on new and expanded evidence from most OECD countries and some partner economies. This paper also reports on differences in R&D intensity within industries across countries. This document represents an update and reframing of previous OECD taxonomies based on earlier versions of the International Standard Industrial Classification (ISIC), including services, whose coverage has improved in the R&D tables published by OECD (ANBERD). This taxonomy aims to support the presentation of statistics for industry groups when R&D is a relevant discriminant factor. Other existing or in-development taxonomies may be more appropriate for capturing differences in overall knowledge intensity or technology use.
Preparation, structural characterisation, and antioxidant activities of polysaccharides from eight boletes (Boletales) in tropical China

ABSTRACT Polysaccharides in boletes (Boletales) are economically significant to both function food and medicinal industries. The polysaccharides were extracted from the fruit bodies of eight boletes, namely, Aureoboletus longicollis, Butyriboletus hainanensis, Crocinoboletus rufoaureus, Hemioporus japonicus, Neoboletus infuscatus, Neoboletus obscureumbrinus, Tylopilus otsuensis, Xanthoconium fusciceps, which were collected from tropical China; their physicochemical properties and antioxidant activities were characterised and evaluated, respectively. The results revealed that the polysaccharides among the eight boletes were mainly composed of glucose, mannose, and galactose, with a broad molecular weight range, and contained a pyranose ring revealed by FT-IR and NMR spectral analyses. Many factors such as different species of boletes, geographic conditions, molecular weight, configuration, and monosaccharide content may affect the antioxidant power of polysaccharides, simultaneously, instead of one single factor. The antioxidant activities of the polysaccharides were measured according to in vitro assays of DPPH scavenging, superoxide anion scavenging, and ferrous ion reducing tests. The polysaccharide of C. rufoaureus has greatly superior antioxidant activity and it could serve as potential functional food or medicine.
Factors that impact the acceptance of e-services in the public sector in the United Arab Emirates case study: the general directorate of residency and foreigners affairs (GDRFA) - UAE

The invention of the computer and the development of the Internet has proven to be of vital importance and benefit to society, with increasingly more services delivered through the Internet are becoming available to end-users. E-services are usually more convenient to use, although it is still not fully known how inclined consumers are towards acceptance of e-services. The level of e-government adoption in the Gulf Corporation countries is still at an immature state despite various efforts taken by the government to propagate the importance of e-services. The United Arab Emirates (UAE) government is investing significant funds for its e-services; but there is still low acceptance in the adoption of these services. The primary focus of this study is to investigate and identify the perceptions of potential end users relating to factors which impact on e-services acceptance. Technology Acceptance Model (TAM) has been adopted in this study as it can be extended when technologies are introduced. This research validates the developed TAM model and evaluates the variance of the outcome variable (acceptance of e-services). Seven factors were adopted as determinants of acceptance of e-services: security, trust, support, e-marketing mix, computer self-efficacy, web skills, and language. The study was undertaken in the General Directorate of Residency and Foreigners Affairs (GDRFA) in the UAE. A quantitative survey methodology was adopted in this study, which surveyed 466 customers who use the GDRFA e-services. The overall findings revealed that security, e-marketing mix, language, web skills, computer self-efficacy and support significantly affected ease of use and perceived usefulness. However, the trust and computer self-efficacy doesn’t affect the ease of use. Further, ease of use significantly affects intention to use and perceived usefulness while in turn intention to use was influenced by perceived usefulness. This study offers an understanding of people’s adoption of e-government services with the help of established theories such as TAM and various factors that influence the e-government adoption with reference to UAE.
Prosthodontic Attitudes and Practices among Dentists during the First Wave of COVID-19 Era

Context: Coronavirus disease (COVID-19) is a highly infectious disease that poses a threat in dental practice especially in prosthetic clinics due to the peculiar nature of prosthodontic procedures. Aims: The aim of this study was to determine the attitude and practices in prosthodontics during COVID-19 period. Settings and Design: An online cross-sectional survey was done among dentists practicing prosthodontics across Nigeria. Materials and Methods: The survey was carried out by sending validated structured self-administered questionnaire to dentists on different social and speciality platforms. The questionnaire was designed into four segments namely socio-demographics, attitude, practice, and preparedness of dental staff towards COVID-19. Statistical Analysis Used: Data analysis was done using SPSS software program, version 25.0. Statistical significance was established at P = <0.05Results: A total of 123 participants were seen with mean age of 45.20 ± 10.80 years. The specialists (48.0%) constituted the largest group, and the majority of participants were from the southwest (74.8%). Only 27.6% were very eager to perform dental procedures. Majority (64.2%) of the treatment was done by consultation via telephone calls, the use of telephone calls was not associated with age nor gender (P = 0.903, 0.611, respectively). A total of 31.7% attended to emergency cases occasionally. Only 13.4% performed prosthodontic treatment and this procedure was done in line with recommended guidelines to control and prevent the spread of COVID-19. Conclusion: The eagerness to perform dental procedures was low and majority of treatment was done by consultation via telephone calls. However, prosthodontic procedure was done by a few of the dentists according to the recommended guidelines for prevention and control.
Accounting for residual heterogeneity in double‐observer sightability models decreases bias in burro abundance estimates

Feral burros ( Equus asinus ) and horses ( E. ferus caballus ) inhabiting public land in the western United States are intended to be managed at population levels established to promote a thriving, natural ecological balance. Double ‐ observer sightability (M DS ) models, which use detection records from multiple observers and sighting covariates, perform well for estimating feral horse abundances, but their effectiveness for use residual heterogeneity (M H or M R ) would result in the least ‐ biased estimates of burro populations relative to the minimum number known alive (MNKA) within the Sinbad Herd Management Area. Standard M DS model estimates achieved a mean coefficient of variation of 0.08, while underestimating MNKA by an average of 27.1%. Accounting for residual heterogeneity through recapture probability in M R models resulted in estimates closer to MNKA than M H models (9.5% vs. 16.5% less than MNKA). Our results indicate that M DS models can achieve precise enough estimates to monitor feral burro populations, but they routinely produce negatively biased estimates. We encourage the use of radio ‐ collars to reduce bias in future burro surveys by accounting for residual heterogeneity through M R models. each double in (heterogeneity) detectability a
Distribution and Oxidation Rates of Ammonia-Oxidizing Archaea Influenced by the Coastal Upwelling off Eastern Hainan Island

Coastal upwelling causes variations in temperature, salinity and inorganic nutrients in the water column, consequently leading to the shift of microbial populations and their metabolic activities. Impacts of the eastern Hainan upwelling (EHU) on the ammonia-oxidizing archaea (AOA) were investigated based on the amoA gene using pyrosequencing and quantitative PCR at both DNA and cDNA levels, together with the determination of the ammonia oxidation (AO) rate measured with 15N-labelled ammonium. By comparing stations with and without upwelling influence, we found that coastal upwelling correlated with an increase in amoA gene abundance, the dominance of distinct clades for AOA communities at the respective gene and transcript levels, and a large increase in the proportion of the SCM1-like (Nitrosopumilus maritimus-like) cluster as well. The AO rates were generally higher in the deeper water (~25 m), which was in significant positive correlation with the proportion of cluster Water Column A (WCA) at the transcript level, indicating the potential contribution of this cluster to in situ ammonia oxidization. Our study demonstrated that coastal upwelling had a significant impact on the AOA community and ammonia oxidization rate; therefore, this physical forcing should be considered in the future assessment of the global nitrogen budgets and biogeochemical nitrogen cycles.
Driving Fatigue Detection Based on the Combination of Multi-Branch 3D-CNN and Attention Mechanism

Fatigue driving is one of the main causes of traffic accidents today. In this study, a fatigue driving detection system based on a 3D convolutional neural network combined with a channel attention mechanism (Squeeze-and-Excitation module) is proposed. The model obtains information of multiple channels of grayscale, gradient and optical flow from the input frame. The temporal and spatial information contained in the feature map is extracted by three-dimensional convolution, after which the feature map is fed to the attention mechanism module to optimize the feature weights. EAR and MAR are used as fatigue analysis criteria and, finally, a full binary tree SVM classifier is used to output the four driving states. In addition, this study uses the frame aggregation strategy to solve the frame loss problem well and designs application software to record the driver’s status in real time while protecting the driver’s facial privacy and security. Compared with other classical fatigue driving detection methods, this method extracts features from temporal and spatial dimensions and optimizes the feature weights using the attention mechanism module, which significantly improves the fatigue detection performance. The experimental results show that 95% discriminative accuracy is achieved on the FDF dataset, which can be effectively applied to driving fatigue detection.
Urbanization Contributes Little to Global Warming but Substantially Intensifies Local and Regional Land Surface Warming

Increasing urbanization causes an urban heat island (UHI) effect and exacerbates health risks of heat waves due to global warming. The surface UHI (SUHI) in large cities has been extensively studied, yet a systematic evaluation on the impacts of urbanization on local‐to global‐scale land surface warming is lacking. We propose a new procedure to quantify the warming effects of urbanization at local, regional, and global scales using high‐resolution satellite observations. We find strong local warming effects for 88% of the urban‐dominated pixels across the globe and cooling effects for the rest of the urban lands on a diurnal mean timescale, with a global urban mean intensity of 1.1°C in 2015. The SUHI effects differ substantially by time of day, season, and climate zone, and are closely related to surface evapotranspiration. By extending local effects to the entire land surface, we estimate a diurnal mean warming of only 0.008°C globally. However, urbanization can have large warming effects regionally, especially in eastern China, the eastern United States, and Europe. In addition, we show that global urban expansion results in over three‐quarters of SUHI effects in 1985–2015, and its effect will likely increase by 50%–200% by the end of this century. The SUHI‐added warming could be up to 0.12°C in summer in Europe by 2100 under a fossil‐fueled development pathway. Our results reveal that urbanization substantially intensifies local and regional land surface warming and that prioritized attention should be given to the SUHI‐added warming in highly or rapidly urbanized regions.
Stereotactic radiosurgery for ruptured versus unruptured intracranial arteriovenous malformations

Background: There are a limited data examining the effects of prior hemorrhage on outcomes after stereotactic radiosurgery (SRS). The goal of this study was to identify risk factors for arteriovenous malformation (AVM) rupture and compare outcomes, including post-SRS hemorrhage, between patients presenting with ruptured and unruptured AVMs. Methods: A retrospective review of consecutive patients undergoing SRS for intracranial AVMs between 2009 and 2019 at our institution was conducted. Chi-square and multivariable logistic regression analyses were utilized to identify patient and AVM factors associated with AVM rupture at presentation and outcomes after SRS including the development of recurrent hemorrhage in both ruptured and unruptured groups. Results: Of 210 consecutive patients with intracranial AVMs treated with SRS, 73 patients (34.8%) presented with AVM rupture. Factors associated with AVM rupture included smaller AVM diameter, deep venous drainage, cerebellar location, and the presence of intranidal aneurysms (P < 0.05). In 188 patients with adequate follow-up time (mean 42.7 months), the overall post-SRS hemorrhage rate was 8.5% and was not significantly different between ruptured and unruptured groups (10.3 vs. 7.5%, P = 0.51). There were no significant differences in obliteration rate, time to obliteration, or adverse effects requiring surgery or steroids between unruptured and ruptured groups. Conclusion: Smaller AVM size, deep venous drainage, and associated intranidal aneurysms were associated with rupture at presentation. AVM rupture at presentation was not associated with an increased risk of recurrent hemorrhage or other complication after SRS when compared to unruptured AVM presentation. Obliteration rates were similar between ruptured and unruptured groups.
Silicene Nanoribbon Tunnel Field Effect Transistor

Stable room temperature operation of field effect transistor (FET) based on two-dimensional silicon (silicene) has recently been reported. Like graphene, silicene is a Dirac cone material. Silicene-based devices provide high off-state leakage current due to lack of a significant bandgap. However, quantum confined silicene nanoribbon (SiNR) shows observable bandgap which can be used for making switching transistors for digital integrated circuit design. Contrary to metal oxide semiconductor FET (MOSFET), tunnel field effect transistor (TFET) overcomes the physical limit of scaling of supply voltage. In this work, we present structure and characteristics of SiNR TFET using atomistic simulation based on self-consistent solution of 3D Poisson and Schrodinger equations within the non-equilibrium Green's function (NEGF) formalism. Performances are also compared with the International Technology Roadmap for Semiconductors (ITRS) projected high performance requirements of 2026 nMOSFETs.
Privacy Behavior in Smart Cities

In this article, we present exploratory research about privacy behaviour n a smart city. We ask if, how and why people share personal data in a smart city environment. We designed a gamified survey that offers realistic scenarios in which people are asked to identify smart technologies and to share or withhold their personal data. Our findings show that most respondents are willing to share their data for surveillance purposes and security benefits. We found that privacy behaviour was directly and most strongly explained by privacy concerns: people with more concerns shared less personal data than others. Smart city literacy had a much smaller effect on privacy behaviour, as did age, education, and income. We found no effect of gender or place of residence on any of the dependent variables. We discuss the meanings of these outcomes for local governments as a matter of digital placemaking, i.e. designing the smart city in a way that makes technology visible and provides transparency with respect to privacy and data governance.
Use, Acceptance and Applicability of Virtual Learning by MBA Students in Kathmandu

The present paper aims to study the MBA programme students’ behavioural intention, use, acceptance and the applicability of virtual learning in Kathmandu. Besides, the study also aims at identifying the influence of performance expectancy, effort expectancy, social influence, and facilitating (UTAUT constructs) conditions on behavioural intention and user acceptance of virtual learning. The research paper is based on descriptive research design and inferential analysis. The study made use of primary data collected through a structured questionnaire surveyed on 142 MBA students using a convenience sampling technique. The results showed that MBA programme students have behavioural intention and use and accept virtual learning. Performance expectancy, social influence, and facilitating conditions have a significantly positive impact on both behavioural intention and user acceptance of virtual learning. Besides, performance expectancy and social influence impacted both the behavioural intention and user acceptance of virtual learning the most. MBA students intend to use virtual learning and have agreed to accept and use virtual learning. Therefore, business schools should invest in technologies for improving virtual learning. To maximise the use of virtual learning, its usefulness should be showed to students; and teachers/ peers’ encouragement also increases the use of virtual learning.
Electrocardiogram Biometrics Using Transformer’s Self-Attention Mechanism for Sequence Pair Feature Extractor and Flexible Enrollment Scope Identification

The existing electrocardiogram (ECG) biometrics do not perform well when ECG changes after the enrollment phase because the feature extraction is not able to relate ECG collected during enrollment and ECG collected during classification. In this research, we propose the sequence pair feature extractor, inspired by Bidirectional Encoder Representations from Transformers (BERT)’s sentence pair task, to obtain a dynamic representation of a pair of ECGs. We also propose using the self-attention mechanism of the transformer to draw an inter-identity relationship when performing ECG identification tasks. The model was trained once with datasets built from 10 ECG databases, and then, it was applied to six other ECG databases without retraining. We emphasize the significance of the time separation between enrollment and classification when presenting the results. The model scored 96.20%, 100.0%, 99.91%, 96.09%, 96.35%, and 98.10% identification accuracy on MIT-BIH Atrial Fibrillation Database (AFDB), Combined measurement of ECG, Breathing and Seismocardiograms (CEBSDB), MIT-BIH Normal Sinus Rhythm Database (NSRDB), MIT-BIH ST Change Database (STDB), ECG-ID Database (ECGIDDB), and PTB Diagnostic ECG Database (PTBDB), respectively, over a short time separation. The model scored 92.70% and 64.16% identification accuracy on ECGIDDB and PTBDB, respectively, over a long time separation, which is a significant improvement compared to state-of-the-art methods.