Miracle-dz/UniFAR-FTUs huggingface dataset:
Why Should We Care What Extremists Think? The Contribution of Emic Perspectives to Understanding the “right-wing extremist” Mind-Set

This article considers the implications of the mainstreaming of ‘right-wing extremism’ for what, and whom, we understand as ‘extreme’. It draws on ethnographic research (2017-2020) with young people active in movements routinely referred to in public and academic discourse as ‘extreme right’ or ‘far right’. Based on interviews, informal communication and observation, the article explores how actors in the milieu understand ‘extremism’ and how far this corresponds to academic and public conceptualisations of ‘right-wing extremism’, in particular cognitive ‘closed-mindedness’. Emic perspectives are not accorded privileged authenticity. Rather, it is argued, critical engagement with them reveals the important role of ethnographic research in gaining insight into, and challenging what we know about, the ‘mind-set’ of right-wing extremists. Understanding if such a mind-set exists, and if it does, in what it consists, matters, if academic research is to inform policy and practice to counter socially harmful practices among those it targets effectively.
Reinforced Risk Prediction With Budget Constraint Using Irregularly Measured Data From Electronic Health Records

Abstract Uncontrolled glycated hemoglobin (HbA1c) levels are associated with adverse events among complex diabetic patients. These adverse events present serious health risks to affected patients and are associated with significant financial costs. Thus, a high-quality predictive model that could identify high-risk patients so as to inform preventative treatment has the potential to improve patient outcomes while reducing healthcare costs. Because the biomarker information needed to predict risk is costly and burdensome, it is desirable that such a model collect only as much information as is needed on each patient so as to render an accurate prediction. We propose a sequential predictive model that uses accumulating patient longitudinal data to classify patients as: high-risk, low-risk, or uncertain. Patients classified as high-risk are then recommended to receive preventative treatment and those classified as low-risk are recommended to standard care. Patients classified as uncertain are monitored until a high-risk or low-risk determination is made. We construct the model using claims and enrollment files from Medicare, linked with patient electronic health records (EHR) data. The proposed model uses functional principal components to accommodate noisy longitudinal data and weighting to deal with missingness and sampling bias. The proposed method demonstrates higher predictive accuracy and lower cost than competing methods in a series of simulation experiments and application to data on complex patients with diabetes. Supplementary materials for this article are available online.
Influence of soil preparation and planting methods on watermelon productivity and quality

The productivity and quality of watermelon fruits can be influenced by several factors, edaphic or associated with cultural management, such as, the type and form of soil preparation and planting methods, which can be by direct sowing or through transplanted seedlings. The objective of this work was to evaluate productive characteristics and quality of watermelon fruits grown under different forms of soil preparation and planting methods. The experimental design used was randomized blocks, organized in a 2x3 factorial scheme, containing three replications, with 24 plants per plot. The evaluated factors were two forms of soil preparation and three forms of cultivation. The fruits were harvested when their tendrils showed visible signs of dryness, when their productive and qualitative characteristics were analyzed. The variables analyzed were the number of fruits per plant, fruit mass, transverse and longitudinal circumference of the fruits, total soluble solids (° Brix), total titratable acidity, maturation index (ratio) and total productivity. The planting methods do not alter the productive characteristics and the quality of the watermelon fruits, which proved to be adequate to the standard demanded by the national market. Conventional tillage, with plowing followed by harrowing, increases the number of fruits per plant and total productivity, reaching 30.7 Mg ha-1, a value 35.08% higher than the average for the state of Rondônia and 28.33 % above the national average.
Evaluating the Performances of Interval Starting Accessibility Drying (ISAD) through Protein and Total Polyphenol Contents of Blue Crabmeat (Portunus segnis)

Blue crab (Portunus segnis) proliferation on Tunisian coasts started in 2014/2015. It has heavily impacted the balance of other species, local biodiversity, and fishing activity. Limiting these drawbacks may be achieved through ways promoting crabmeat. For this purpose, two different drying modes were tested: Conventional convective drying (CCD) and interval starting accessibility drying (ISAD) under 45 °C and relative humidity of 40%. Several air velocities were assayed under CCD: 1.5, 2.5, 3.5, and 5 m.s−1. Two different ISAD tests were run with different time-related conditions: drying period of 15 s and tempering period of 15 or 60 s. Drying modes and operating conditions performances were compared through proteins and total polyphenol contents (TPCs) evolution during the treatment. Important polyphenol and protein losses were observed between raw and processed crabmeat. Airflow velocities have a significant effect on crabmeat quality preservation. ISAD method under 15 s/60 s allowed the best preservation of these quality parameters. TPC and proteins losses and kinetics during drying under CCD or ISAD were modelled and correlations were established between the quality parameters, the residual water content at all drying times, and the evaporation rate.
Thermal and chemical characterization of fractions from Syagrus romanzoffiana kernel oil

The Jerivá (Syagrus romanzoffiana) kernel oil (JKO) has a pleasant coconut-like smell, with about 33% lauric acid and 28% oleic acid. The oil also contains bioactive compounds, such as phenolics, carotenoids, and tocopherols. JKO has a solid consistency at low temperatures, but has a low melting point and low solid content at room temperature. Thus, this work aimed to evaluate the thermal properties related to crystallization and fusion, as well as the chemical and oxidative characteristics of JKO fractions, olein and stearin, obtained from dry and solvent fractionation. In general, stearins had higher crystallization and melting temperatures, and higher solid fat content, unlike oleins, which may be associated with the concentration of high melting triglycerides in the stearins. No statistically significant difference was found for fatty acid profile or oxidative stability of the fractions. The type of fractionation influenced the chemical and thermal properties of JKO fractions. The solvent process promoted the most relevant differentiation of fractions. An olein was obtained with 7% less solid fat at 25 °C which remained visually liquid at 2 °C below the oil, as well as a stearin with 17% more solid fat at 25 °C which remained visually solid at 3 °C above the oil.
Analysis of Learning and Academic Performance of Education Students Before and During the Coronavirus Disease Pandemic

The study focused on education students' learning experiences and the differences in their activities before and during the pandemic. This research was carried out at the NEUST Gabaldon Campus during the academic year 2020-2021 vacation. A study design that combines descriptive-comparative and descriptive-correlational elements. The descriptive-comparative design was used to compare the number of hours students spent sleeping, studying, using social media, and academic performance before and during the pandemic. The descriptive-correlation design, on the other hand, was used to determine the relationship between a student's academic performance (GPA) and the number of hours spent sleeping, studying, and using social media during the pandemic. The 171 education students who participated in the study were chosen through stratified random sampling. The findings revealed that there is a significant difference in the number of hours spent sleeping, studying, and using social media before and during the pandemic. However, there is no significant difference in students' academic performance before and during the pandemic. The study also discovered a highly significant link between the number of hours spent studying and academic performance and between the number of hours spent in social media and the number of hours spent studying. Nonetheless, there is no statistically significant relationship between students' academic performance and the number of hours they sleep and the use of social media during the pandemic. In addition, there is no link between the number of hours they sleep and the amount of time they spend studying and using social media. The students agree that there are benefits and drawbacks to flexible learning. The study's theoretical and practical implications were also discussed.
Evaluation of the effect of endodontic chelating solutions on push out bond strength of endodontic sealers (An in-vitro study)

Aim: This study was carried out to evaluate the effect of various chelating solutions (EDTA-Apple Vinegar-Sodium Hypochlorite)on the radicular push-out bond strength of zinc oxide nanosealer and AH Plus resin based rootcanal sealer. Materials and Methods: 180 extracted single-rooted human teeth with complete roots, fully formed apices were used in this study,on completion of instrumentation, the specimens will be randomly divided into three groups (n=60) according to chelating solution applied: Group ( I ) 1.5 mL of 17% EDTA (pH = 7), Group ( II ) 2.5 mL of vinegar apple and Group ( III ) 2 mL of 5.25% sodium hypochlorite (NaOCl). These groups are subdivided into two subgroups (n=30) each according to root canal sealer used: Subgroup A: AH Plus and Subgroup B: Zinc oxide nanosealer. Then the specimens in the subgroups will be further randomly divided into two groups (n=15) according to storage time: Subgroup 1:one week storage time and Subgroup 2: one month storage time The root canals were prepared using ProTaper rotary instruments up to master apical rotary size F3 (#30), in conjunction with 2 mL of Normal saline solution (Sodium Chloride 0.9%) irrigation between each file and the chelating solution was applied for 1 minute then final rinse with distilled water. The sealers were loaded and introduced to the canal using K file size40.Testing push-out bond strength was done for all samples using the Intrson universal testing machine. Results: It was found that the highest push-out bond strength mean value recorded for (EDTA+ AH Plus) (1 week) group (IA1) (3.424 MPa) followed by (Apple Vinegar+ AH Plus) (1 week) group (IIA1) (1.263 MPa) while the lowest mean value recorded for (NaOCl+ZnO nanosealer) (1 month) group (IIIb2) (0.575 MPa). The difference between different groups was statistically significant as revealed with one way ANOVA test (p 0.05) differences between {(Apple Vinegar+AH Plus) and (NaOCl +AH Plus) (1 week)}, {( EDTA+ AH Plus), (Apple Vinegar+ AH Plus) and(NaOCl+ AH Plus) (1 month)}, {(EDTA+ ZnO nanosealer) and (NaOCl+ ZnO nanosealer) (1 month)}. Conclusions: AH Plus sealer had the highest push-out bond strength when used with EDTA, ZnO nanosealer had the highest push –out when used with apple vinegar and all AH Plus subgroups had higher push-out bond strength than ZnO nanosealers subgroups
Radar Reflectivity and Meteorological Factors Merging‐Based Precipitation Estimation Neural Network

The meteorological factors are important determinants of the surface rainfall. However, in studies of quantitative precipitation estimation (QPE) based on Doppler radar data, meteorological elements are usually used as the weighting factors to correct precipitation, and the active role of meteorological factors in determining rainfall is neglected, which limits the improvement of radar QPE accuracy. In this study, the effectiveness of applying one‐dimensional convolutional neural network together with radar data and meteorological factor data to estimate precipitation is explored. Various combinations of meteorological factors were tested for the set of input variables. The proposed model performance was evaluated over the Shijiazhuang area at the spatial resolution of 0.01° and at the 6‐min time scale. The results indicates that the proposed model (RM‐1DCNN) provides more accurate precipitation estimation compared to the Ordinary Kriging interpolation, two Z‐R relationships, and Back Propagation Neural Network. The root mean square error of the RM‐1DCNN with temperature was 0.642 mm per 6 min and the average Threat Score exceed 55%, which was the best among all schemes.
Total phenolics and antioxidants profiles of commonly consumed edible flowers in China

ABSTRACT Edible flowers are referred to the non-toxic flowers that can be consumed by human beings for their additional nutritional or medical properties. These flowers are rich source of natural antioxidants, thus exert specific positive health effects on chronic diseases and act as a potential function food. This research paper is focused on the determination of total phenolic content (TPC), total flavonoids content (TFC), and antioxidant capacities of different kinds of edible flowers in China and compared systematically. Sixty-five flower samples were collected from parks in Guangzhou and also purchased from Qingping Market. TPC, TFC, and three anti-oxidative assays (DPPH free radical scavenging activity, ABTS radical scavenging activity, and Ferric reducing antioxidant capacity (FRAP) assay) were conducted. Different flowers presented diverse range of antioxidant capacities, phenolic contents, and flavonoid contents. A high correlation between TPC and antioxidant activity (as accessed using three different methods) was reported. However, a low relationship was observed between TFC value and antioxidant capacities. This study revealed that five Rosa species exhibited strong antioxidant capacities among other samples, and these can be used as potential functional foods to counterbalance the effect of reactive oxygen species (ROS) and oxidative stress.
Parents’ perceptions of the KiVa anti-bullying program

ABSTRACT The KiVa anti-bullying program is an evidence based whole-school intervention and prevention program that has been implemented in a small number of New Zealand schools to help address high rates of bullying behaviors. Parents are a key component of the whole-school program as without parental support the ongoing sustainability of the program within individual schools could be compromised. Parents of children in schools that had implemented the program for at least one year were invited to complete an online anonymous survey about their knowledge, perceptions and experiences of KiVa. The initial screening question was answered by 409 participants and showed that over a quarter of participants had no knowledge of KiVa prior to being invited to complete the study. The experiences of the 223 participants who completed the main section of the survey (including demographic information) varied considerably in terms of the information received and their overall perceptions of the program. There were 57 parents who provided information about their direct experiences with the KiVa program, half of whom had a positive experience of KiVa and were likely to recommend it. Most of the issues for those who had negative experiences were around the lack of information and poor communication from the school. Unsurprisingly, those who had a negative experience were less likely to indicate that they would recommend the program to others. The findings from this preliminary investigation highlight the importance of effective home-school communication to ensure the sustainability of the KiVa program.
How Financial Performance and State-Owned Enterprise (SOE) Values Are Affected by Good Corporate Governance and Intellectual Capital Perspectives

The implementation of good governance and attention to resources will affect company survival. The purpose of this study was to examine the effect of good corporate governance and intellectual capital on financial performance and company value through statistical and econometrical tests on SOEs in Indonesia. This is quantitative research with state-owned enterprises (SOEs) listed on the Indonesia Stock Exchange. The total study population was 16 SOEs. This study used a saturated sample. Furthermore, the exogenous variables in this study were good corporate governance (GCG) and intellectual capital, whereas the endogenous variables were the company and financial performance. This study used the statistical analysis inferential because the variables used indicators and were formative. The results indicated that GCG and financial performance have positive effects on firm value, intellectual capital does not affect company value, and GCG and intellectual capital have positive effects on financial performance. The evaluation of indirect effects in this study showed that financial performance mediates the effect of intellectual capital and GCG on company value.
A review on potentials and challenges of nanolubricants as promising lubricants for electric vehicles

The most remarkable difference between electric vehicles (EVs) and conventional ones is the fuel burning dependency of the internal combustion engine, while the emerging EVs operate on electric motors. These alternations create staggering shifts in both lubricants' market demand and performance specifications. Lubricants for electrical powertrain constitutes greases, transmission oils, and lubricants for auxiliary systems and do not rely on engine oils as internal combustion vehicles. The new standards will be more focused on lubricants' electrical properties such as breakage voltage and conductivity, coupled with tribological performance under high rpm, corrosion resistance and thermal management benchmarks. This paper thematically reviews the different studies performed with nanolubricants, and how they match EVs' operational requirements. Conclusions from this study can be considered as guidelines for the potential application of nanolubricants in EVs and possible future research that can be accomplished on the topic.
Control Synthesis of Air‐Stable Morphology Tunable Pb‐Free Cs2SnI6 Perovskite Nanoparticles and Their Photodetection Properties

Pb‐free Cs2SnI6 perovskite nanoparticles with different morphologies are synthesized using hot injection process and precise control of ligand chemistry. Size dependent band gap variation is studied to evaluate quantum‐confinement effect in the system. Stable and fast photodetector with high current gain is fabricated by using the nanoparticles as colloidal ink.
Let’s play together: teacher perspectives on collaborative chamber music instruction

ABSTRACT This article reports on a pilot project exploring the viability of a teaching-through-playing approach in chamber music instruction in higher music education. Literature suggests that teaching traditions such as the one-to-one setting need renewal, and socio-cultural theories of learning propose that collaboration and participation are a way forward. To explore this new approach, a multiple case study of four chamber music groups with teachers as playing participants was set up in two institutions in Australia and Norway. Participants were interviewed to examine their attitudes, use of teaching and learning strategies, and perceived challenges and benefits of the approach. The findings suggest that working with professionals in a community of practice in a real-life setting intensifies and broadens learning of musical, social and general skills relevant for chamber music performance. However, the study revealed challenges regarding power relations that need to be resolved. In conclusion, the approach seems to be a promising supplement to existing teaching traditions. The master-apprentice model is through this approach re-imagined as a master-apprentice relationship of guided participation. The guidance comes from social partners’ feedback and from the hands-on involvement in and observation of the action culture of chamber music performance demonstrated as a professional practice.
Favours within 'the tribe': Social support in coworking spaces

Emerging from the changing social, technological and cultural changes to work, coworking has been positioned as a new economic engine composed of collaboration and community, providing support for entrepreneurship, innovation and soft infrastructure for economic development. However, an alternative interpretation of coworking suggests it responds to the isolation and insecurity of self-employment by the formation of ‘community’ to provide mutual support to navigate precarious work conditions. Faced with contrasting accounts of coworking, using in-depth interviews and ethnography of a coworking space, this paper explores the support members of the community offer by drawing on the concept of social support. It contributes to our understanding of social support in an entrepreneurial context and explores a more nuanced and darker side to social support in coworking spaces. While coworkers engaged with others to provide emotional, informational and instrumental support, social support also revealed exchange relationships underpinned by reciprocity, which reinforced precarious work conditions.
Planning Urban Manufacturing, Industrial Building Typologies, and Built Environments: Lessons From Inner London

Despite concerns about the loss of industry, industrial land, and buildings in high-value post-industrial cities, there is concurrently a renewed enthusiasm around the potential of “new” urban manufacturing and its contribution to the socio-economic diversity of cities. Yet, little is known about how planning policy can best support the retention and growth of urban manufacturing. To advance this agenda, this article proposes that we need a better understanding of industrial building typologies and resultant urban form. Using concepts developed by Julienne Hanson to analyse residential morphologies undergoing transformation under modernism, we apply these concepts to investigate the industrial, mixed-use contexts in two areas of London with concentrations of urban manufacturing—Hackney Mare Street and Old Kent Road. The research presented examines how both areas have evolved historically to produce distinctive urban tissues and a range of industrial building typologies. The article reveals that, despite territorial similarities in the late 19th century, the mixed land uses and smaller plot sizes of Hackney Mare Street have allowed for a more resilient development pattern, whereas the greater separation of land uses, large plot sizes, and inward-facing development in the Old Kent Road has facilitated its reimagination for large-scale regeneration. We conclude that greater attention needs to be paid to the relationship between urban manufacturing and built urban form if policies that aim to protect or support the revival of manufacturing in cities are to avoid negative unintended consequences.