Miracle-dz/UniFAR-FTUs huggingface dataset:
Teleworking in times of COVID-19: the role of Family-Supportive supervisor behaviors in workers’ work-family management, exhaustion, and work engagement

Abstract Based on the Conservation of Resources theory, this research investigates the association between work-family relationships and employees’ well-being in teleworking situations, and explores the role of Family-Supportive Supervisor Behaviors (FSSB) as an important resource to help employees balance the exchange between work and life domains and improve well-being while teleworking. The current study was conducted during the COVID-19 pandemic, when most organizations opted for telework and employees found themselves involuntarily working from home. We examined the intensity of remote work as a boundary condition to determine when FSSB can be a resource for employees in telework. Our research combines two studies: a cross-sectional study with 318 workers from a bank that implemented telework over seven months; and a two-wave study with 290 participants from another bank – time 1 was prior to lockdown and time 2 was ten months later. Moderated mediation hypotheses were tested using structural equation modeling and the PROCESS macro for SPSS. Results from both studies show that FSSB is related to positive outcomes for work-family relationship and also for well-being. However, many of these associations are conditional upon the levels of intensity of telework. Implications for HRM theory and practice are discussed.
Health assessment of plantations based on LiDAR canopy spatial structure parameters

ABSTRACT The Yellow River Delta (YRD) has China's largest artificial Robinia pseudoacacia forest, which was planted in the late 1970s and suffered extensive dieback in the 1990s. The health grade of the R.pseudoacacia forest (named canopy vigor grade, CVG) could be achieved by using high-resolution images and canopy vigor indicators (CVIs). However, a previous study showed that there was no significant correlation between CVG and the field-estimated aboveground biomass (AGB) of R.pseudoacacia forest. Therefore, this study aims to construct forest health indicators (FHIs) based on canopy spatial structure parameters extracted from LiDAR. The FHIs included Weibull_α (the scale parameter of the Weibull density function that reflects the shape of the tree canopy), VCI (vertical complexity index), sdCC (the standard deviation of canopy cover), H99 (the 99th percentile height) and cvLAD (the coefficient of variation of leaf area density), and could significantly distinguish three forest health grades (FHG) (p < 0.05). The FHG was positively correlated with forest AGB (rs = 0.51, p = 0.004), and the similarity value with CVG was 63.33%. The results of this study confirmed that the FHIs can reflect both canopy vigor and tree productivity, and distinguish forest health status without prior classification information.
Three-dimensional geometry-based radio channel model : parametrization and validation at 10 GHz

This dissertation presents complete parameterizations for a three-dimensional (3-D) geometrybased stochastic radio channel model (GSCM) at 10 GHz based on measurement campaigns. The thesis is divided into the following main parts: radio channel measurements, the characterization of model parameters, and model validation. Experimental multiple-input multiple-output (MIMO) channel measurements carried out in two-story lobby and urban small cell scenarios are first described. The measurements were performed with a vector network analyzer and dual polarized virtual antenna arrays with a bandwidth over 500 MHz. The measurement data was post-processed using the ESPRIT algorithm and the post-processed data was verified using a semi-deterministic map-based model. The results showed a good match between estimated and modeled multipath components (MPCs). In addition, single-input single-output outdoor-to-indoor measurements were executed through a standard multi-pane glass window and concrete wall. A statistical analysis was carried out for defining full 3-D characterization of the propagation channel in both line-of-sight (LOS) and non-line-of-sight (NLOS) propagation conditions. The delay and angular dispersions of MPCs are smaller in comparison to lower frequency bands due to the higher attenuation of the delayed MPCs. Moreover, specular reflection is observed to be the more dominant propagation mechanism in comparison to diffuse scattering, leading to smaller cluster angle spreads in comparison to lower frequency bands. The penetration loss caused by a standard multi-pane glass window is on the same level as in the lower frequency bands, whereas the loss caused by the concrete wall is a few dBs higher than at lower frequency bands. Finally, the GSCM with determined parameters is validated. A MIMO channel was reconstructed by embedding 3-D radiation patterns of the antennas into the propagation path estimates. Equivalently the channel simulations were performed with a quasi deterministic radio channel generator (QuaDRiGa) using the defined parameters. The channel capacity, Demmel condition number, and relative condition numbers are used as the comparison metrics between reconstructed and modeled channels. The results show that the reconstructed MIMO channel matches the simulated MIMO channel well.
ZoomNet for topic-oriented fragment recognition in long documents

This work introduces a new information extraction task called Topic-Oriented Fragment Recognition (TOFR), whose goal is to recognize information related to a specific topic in long documents from professional fields. In this paper, we introduce two TOFR datasets of judgment documents to study the problems of processing long documents. We propose a novel neural framework named Zooming Network (ZoomNet), which overcomes the challenge of combining information over long distances with limited computing resources by flexibly switching between skimming and intensive reading in processing long documents. In general, ZoomNet first establishes a hierarchical representation aligned to the text structure and then synthesizes different levels of information to assign tags via multi-scale actions. Experiments show that ZoomNet outperforms several state-of-the-art sequence labeling models on both TOFR datasets over five F1-measure.
Using WhatsApp Focus Group Discussions to Collect Qualitative Data Collection During a Pandemic: Exploring Knowledge, Attitudes, and Perceptions of COVID-19 in Singapore

This qualitative study aimed to explore Singapore residents’ knowledge, attitudes, perceptions, and behaviors around COVID-19 as shaped by different information sources. Through utilizing WhatsApp as a means of conducting digital focus group discussions (FGDs), participants were involved in five consecutive days of discussions through both synchronous and asynchronous means. We found that the use of WhatsApp as a means of conducting FGDs not only served as a means of generating essential, time-sensitive data in the community, but also advanced the quality and quantity of data generated, democratized, and enhanced the participatory nature of FGDs, and facilitated the communication of potential issues around data privacy between facilitators and participants. Although challenges around privacy and confidentiality remain, this means of collecting data is novel in terms of providing timely and relevant data during a pandemic and would be appropriate to be further utilized in the context of other health-related research beyond a public health emergency.
Mental models of eco-driving: The measurement and activation of drivers’ knowledge and skills

Eco-driving has the potential to reduce fuel consumption and therefore emissions considerably. Previous research suggests that drivers already possess a certain level of eco-driving capability, which they do not practise in their everyday lives. The studies reported in this thesis are based on a mental models approach, which enabled an in-depth exploration of eco-driving knowledge and skills and broadened the understanding of the underlying cognitive mechanisms. This thesis describes two driving simulator experiments aiming to measure, activate and ultimately interrupt eco-driving mental models in a variety of scenarios, relevant for safe and eco-driving. The studies used simple driving task instructions, text message interventions as well as a workload task. Changes in the participants’ behaviour and thoughts were analysed with a combination of quantitative and qualitative methods. The results suggest that drivers have mental models of eco-driving on several levels, ranging from knowledge and strategies to tactics in specific situations to automated behaviour. However, in the first experiment they did not use them when they were instructed to ‘Drive normally’. In the second study text message primes and advice provided over two weeks were not able to replicate the effect of experimental instructions given directly before driving. Behavioural changes following these instructions were abandoned when performing a workload task, and not resumed afterwards. Future research needs to consider alternative methods to prompt drivers to use their existing eco-driving knowledge and skills. Studies with a larger number of participants, and in real-world settings can then validate findings. It is suggested to expand the mental models approach into other fields such as sustainable transport in general.
Mechanical Properties of Four-Stacked Two Tape Bundled REBCO Pancake Coils

There is an ongoing plan to upgrade the 25 T cryogen-free superconducting magnet (25T-CSM), at the High Field Laboratory for Superconducting Materials (HFLSM), IMR, Tohoku University, to a 30T-CSM by replacing the existing Bi2223 insert coils with REBCO coils. For the REBCO coils of the 30T-CSM, we will adopt a robust coil concept, which consists of two tapes co-wound in a face-to-back configuration with thin FRP plates glued on the edges. To confirm the effectiveness of this concept, we performed hoop stress tests on full-scale-size four stacked pancake coils fabricated with Fujikura EuBCO tapes at conduction-cooled 20 K under a background field of 11 T. The inner and outer diameters of the pancake coils were 68 and 268 mm, respectively. The averages of the measured strains on the outermost winding were 0.17–0.24% at a hoop stress of 400 MPa estimated by the BJR relation. The I-V properties of the coils indicated no anomalous voltage, implying that our coil structure was robust against large electromagnetic stress.
N2O Reduction by Gemmatimonas aurantiaca and Potential Involvement of Gemmatimonadetes Bacteria in N2O Reduction in Agricultural Soils

Agricultural soil is the primary N2O sink limiting the emission of N2O gas into the atmosphere. Although Gemmatimonadetes bacteria are abundant in agricultural soils, limited information is currently available on N2O reduction by Gemmatimonadetes bacteria. Therefore, the effects of pH and temperature on N2O reduction activities and affinity constants for N2O reduction were examined by performing batch experiments using an isolate of Gemmatimonadetes bacteria, Gemmatimonas aurantiaca (NBRC100505T). G. aurantiaca reduced N2O at pH 5–9 and 4–50°C, with the highest activity being observed at pH 7 and 30°C. The affinity constant of G. aurantiaca cells for N2O was 4.4 μM. The abundance and diversity of the Gemmatimonadetes 16S rRNA gene and nosZ encoding nitrous oxide reductase in agricultural soil samples were also investigated by quantitative PCR (qPCR) and amplicon sequencing analyses. Four N2O-reducing agricultural soil samples were assessed, and the copy numbers of the Gemmatimonadetes 16S rRNA gene (clades G1 and G3), nosZ DNA, and nosZ mRNA were 8.62–9.65×108, 5.35–7.15×108, and 2.23–4.31×109 copies (g dry soil)–1, respectively. The abundance of the nosZ mRNA of Gemmatimonadetes bacteria and OTU91, OUT332, and OTU122 correlated with the N2O reduction rates of the soil samples tested, suggesting N2O reduction by Gemmatimonadetes bacteria. Gemmatimonadetes 16S rRNA gene reads affiliated with OTU4572 and OTU3759 were predominant among the soil samples examined, and these Gemmatimonadetes OTUs have been identified in various types of soil samples.
Did COVID-19 induce a reallocation wave?

Recent research has argued that the COVID-19 shock has also brought about a real- location shock. We examine the evidence for such an occurrence in the United States, taking a broad perspective. We first consider micro data from CPS and JOLTS; there is no noticeable uptick in occupation or sector switches, nor churn, either at the aggregate level or the cross-section, or when broken down by firms’ size. We then examine whether mismatch unemployment has risen as a result of the pandemic; using an off-the-shelf multisector search and matching model, there is little evidence for an important role for mismatch in driving the elevated unemployment rate. Finally, we employ a novel Bayesian SVAR framework with sign restrictions to identify a reallocation shock; we find that it has played a relatively minor role in explaining labor market patterns in the pandemic, at least relative to its importance in earlier episodes.
Role of Family Ownership in the Relationship between Corporate Social Responsibility and Firm Performance

This study examines the effect of corporate social responsibility (CSR) on firm performance in Indonesia. Most Indonesian companies are family-owned; therefore, it is important to consider the family ownership’s role in the relationship between CSR and firm performance. The study sample consists of 285 Indonesian listed firms for the period 2015–2019. Our results show that CSR positively affects performance. Companies that conduct more CSR activities perform better, indicating their importance. Further, the interaction between family ownership and CSR negatively affects firm performance. Therefore, family ownership weakens the positive effects of CSR. Family owners have significant disincentives for the CSR’s positive effect in improving firm performance.
Impact of Rotor Design on Coaxial Rotor Performance, Wake Geometry and Noise

Extensive research and development is currently underway to design next generation coaxial main rotor systems for heavy lift, high speed and small-scale applications. A variety of platforms are under investigation, including small scale Unmanned Air Vehicles (UAVs), mid-scale concepts like Baldwin Technology’s mono-tiltrotor, and full-scale rotorcraft such as Sikorsky Aircraft Corporation’s X2 concept. In order to facilitate both the design and evaluation of such new coaxial configurations, it is necessary to develop and validate appropriate analysis tools. This paper describes work performed enhancing the CHARM comprehensive rotorcraft analysis to facilitate its use for aerodynamic/aeroacoustic design of coaxial rotor systems. Correlations of predictions with test data are presented followed by a study of how variations in key rotor design parameters impact coaxial rotor performance, wake geometry and noise.
Climate Change, Inequality and Discrimination Law: The Example of Swimming Pool Access in Moree

Climate change exacerbates disadvantage and deepens inequality. Mitigation and adaptation measures to address climate change thus require equality-informed responses. This aligns with the goals of climate justice, which emphasise the rights of the most vulnerable, equality and fairness. Climate law and strategic litigation in pursuit of climate justice are rapidly evolving areas with a growing resort to human rights. This article argues that discrimination law should be considered, alongside other legal approaches, in shaping creative responses to the challenge of climate-related inequality. This strategic recourse to law is supported by the development of relevant discrimination law that is focused on humans within our ecological context, underpinned by an approach to equality that is transformative. The article draws on the example of access to a public swimming facility in the regional New South Wales town of Moree to consider how discrimination law might support equitable adaptation in pursuit of climate justice.
Developing Pedagogical Content Knowledge (PCK) through an enriched teacher education program: cases of four Iranian pre-service EFL teachers

ABSTRACT Pedagogical content knowledge (PCK) has been extensively studied in science teacher education. However, scant research attention within the domain of Teaching English as a Foreign Language (TEFL) has been paid to teachers’ PCK. With an interpretive qualitative design, the present study aimed to investigate whether pre-service English as a Foreign Language (EFL) teachers’ PCK could be developed through an enriched teacher education program in the Iranian context. The program, including 12 sessions for increasing four teachers’ knowledge of strategies, students, and curriculum, was enriched by providing the teachers with opportunities to present the content through effective strategies, reflect on teaching practices through viewing videos, and receive mentoring. The data were gathered through video-stimulated recall, semi-structured interview, field notes, and classroom observation. After qualitative data analysis, five major themes emerged. The findings indicated that enriched teacher education programs could help pre-service EFL teachers reflect on their pedagogical practices and develop their PCK; however, these programs would not be sufficient. In addition, analysing the observational data indicated that enriched teacher education programs could mainly influence pre-service EFL teachers’ knowledge of teaching strategies as one of the main subareas of PCK. Finally, pedagogical implications and suggestions for future research are offered.
Effect of Weather Variables and Yellow Mosaic Virus Disease (YMV) on Soyabean

The presented research work for studied the link between weather and diseases in soybean to determine the effect of weather in disease occurrences and development measures was conducted at Main Agricultural Research Station (MARS), University of Agricultural Sciences, Dharwad during kharif 2017. Biotic and abiotic threats are becoming more significant as of the climate changes. Abiotic stress factors, such as insect pests and diseases, are well recognised to effect biotic stress factors. Furthermore, weather influences the severity and virulence of diseases throughout a geographical area. As a result, there is a need to investigate the impact of meteorological characteristics in diseases in this context. The current study was done in this effort to understand the relationship between weather and diseases in order to treat diseases early before they reach economic injury levels (EIL) and minimize cultivation costs by using low-cost insecticides and pesticides by building a forewarning system. Yellow Mosaic Virus Disease (YMV) is a disease of soybean, which infects mainly to leaves. The weather data was collected from the MARS Dharwad weather data collected in crop field. The Correlation coefficients between disease grade of Yellow Mosaic Virus Disease (YMV) and 29 weather variables were presented in the data show that the disease grade ratings were correlated positively, with r = 0.45 for PRHT (X14), r = 0.46 for PRHM (X17), r = 0.49 for PRHB (X20), and r = 0.34 for PRHO (X26). And remining were negative correlated. Hence, the weather plays an important role in the disease incidence and development.
Walking back to happiness: The resurgence of latent callings in later life

Working in a domain to which one feels called has been heralded as a source of deep meaning and fulfilment, but not everyone is able to pursue their calling through paid employment. Current thinking positions such abandoned occupational callings as a source of regret, stress and disappointment but, by focusing on the perspectives of those still in mid-career, extant research has overlooked the potential for a calling to re-emerge in late adulthood. Drawing on life history narratives from retired individuals who felt called to music at an early age but did not pursue a musical career, we contribute to the corpus of work on unanswered callings by proposing the construct of latent callings to explain how callings may be held in the individual’s identity set primed to re-emerge, and reveal the mutable calling identity scripts that re-awaken the potential to live out a calling later in life. Our research shows how latent callings may be resumed via accommodation, deferred and emergent pathways and highlights the potential for a previously unanswered calling to become a source of social connection, deep happiness and enjoyment late in life.
Digital storytelling in teacher education: A meaningful way of integrating ICT in ESL teaching

Hensikten med denne studien er a utforske hvordan bruken av digitale fortellinger i laererutdanningen kan bidra til a utvikle lektorstudenters digitale kompetanse og fremme innovativ bruk av IKT i engelskundervisningen. Gjennom bruken av kasusstudie og en design-basert forskningstilnaerming beskriver denne studien to gjennomforinger og design-sykluser av et verksted med bruk av digitale fortellinger ved en norsk laererutdanning hvor det overordnede malet var a vise innovative og hensiktsmessige mater a integrere IKT i engelskundervisningen. En digital kompetansemodell er brukt som linse i dataanalysen hvor datamaterialet kommer fra en kvantitativ sporre-undersokelse, feltobservasjoner, refleksjonslogger, digitale artefakter og semi-strukturerte intervjuer. Studiens funn viser en rekke tilnaermingsmater som kan tas i bruk i gjennomforingen av verksted i digitale fortellinger, slik som modellering av integrering av IKT og vurdering med IKT, stillasbygging ved studentaktive laeringsopplevelser med IKT, og brobygging mellom teori og praksis gjennom refleksjon. Implikasjoner for laererutdanningen blir diskutert. Nokkelord: profesjonsfaglig digital kompetanse, digitale fortellinger, laerer-studenter, laererutdannere, laererutdanning, engelsk fagdidaktikk Abstract The purpose of this study is to examine how the use of digital storytelling (DST) in teacher education can help develop digital competence in secondary school English as a second language (ESL) student teachers, and promote the innovative use of information and communications technology (ICT) in ESL teaching. Following a case methodology and a design-based research approach, the study reports on two iterative design cycles of a DST workshop held at a Norwegian teacher education program where the aim was to promote secondary ESL student teachers’ digital competence and showcase innovative ways of integrating ICT into ESL teaching. A digital competence model is used as a research lens for the data analysis where data come from a quantitative survey, participant observations, reflection logs, digital artifacts, and semi-structured interviews. Findings point to a number of approaches that can be used in the workshop design such as modeling ICT integration and assessment, scaffolding student-active learning experiences with ICT, and linking theory and practice through reflection. Implications for teacher education are discussed. Keywords: professional digital competence, digital storytelling, student teachers, teacher educators, teacher education, ESL didactics