Miracle-dz/UniFAR-FTUs huggingface dataset:
Rethinking telecommuting with an i-deals perspective

COVID-19 has accelerated the spread of telecommuting in Japan. In past studies regarding telecommuting, it was proved to be the result of i-deals, so it was discussed in the context of location flexibility i-deals (LFi-deals). The spread of COVID-19, however, has given rise to semi-compulsory telecommuting. Therefore, this study takes three groups: Group A, which continues to work at the office as before; Group B, which has started to telecommute (inexperienced telecommuters) so that telecommuting is regarded as semi-compulsory; and Group C, which has experience with telecommuting (experienced telecommuters) so that telecommuting is the result of making LFi-deals; and investigates the relationship that telecommuting has with the degree of selfdetermination (DSD) and productivity. Our analysis found that between Group B and Group C, which were both telecommuting, both DSD and productivity were significantly higher for Group C a) Graduate School of Economics, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, Japan, tsukamoto.yusuke. jpn@gmail.com The author confirms sole responsibility for the following: study conception and design, data collection, analysis and interpretation of results, and manuscript preparation. The author declares there are no competing interests. A version of this paper was presented at the ABAS Conference 2020 Winter: Part1 (Tsukamoto, 2021). © 2021 Yusuke Tsukamoto. This is an Open Access article distributed under the terms of the Creative Commons Attribution License CC BY 4.0 (Attribution 4.0 International) license. The CC BY 4.0 license permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. Annals of Business Administrative Science 20 (2021) 33–46 https://doi.org/10.7880/abas.0210115a Received: January 15, 2021; accepted: February 8, 2021 Published in advance on J-STAGE: February 11, 2021
Current standard protocols of RT-PCR of nasopharyngeal swab in neonatal patient is not sensitive enough for determination of vertical transmission

The pandemic experienced in recent months has raised questions that should be investigate in the clinical practice. Transplacental transmission of SARS-CoV-2 and the consequences to the fetus and newborn have called attention due to the increasing number of infections, contradicting previous evidences that there was no possibility of coronavirus transmission from the mother to the fetus. We presented three cases of pregnant women with positive SARS-CoV-2 antibodies serology on admission in Naval Hospital Marcílio Dias (HNMD), Rio de Janeiro, Brazil. Samples of umbilical cord blood was double positive (IgM and IgG) for one patient, double negative for one patient and positive for IgG and negative for IgM for third patient. Maternal and neonatal nasopharyngeal swab samples analyzed by PCR for SARS-CoV-2 was positive for two maternal patients and negative for all newborns tested. It was possible to detect the SARS-CoV-2 in amniotic fluid and umbilical cord blood using the nested-PCR technics, thus being successfully evidenced transplacental transmission. We suggested that nasopharyngeal swab PCR test of neonates does not have a correlation with vertical transmission and thus, this molecular test is not useful for investigation of transplacental infection.
Effect of Genetic and Environmental Factors on the Impaction of Lower Third Molars

The aim of this retrospective study was to evaluate the impact of genetic and environmental factors on the impaction of lower third molars using a classical twin study by evaluation of the third molar eruption space and M3 angulation. The study group consisted of 212 twins: 80 dizygotic and 132 monozygotic twins with digital panoramic radiograms and lateral cephalograms. The zygosity of twins was determined using 15 highly polymorphic DNA regions from the venous blood of twins. The results showed that differences between siblings in the dizygotic and monozygotic twin pairs were not statistically significant. The most fitting model for the angulations of lower third molars was AE (additive genetic and specific environmental effect), where the additive genetic factors had up to 88% influence and the specific environment up to 27%. Therefore, the ACE( additive genetic, common and specific environmental effect), model showed higher significance for the lower third molar eruption level where additive genetic estimates reached 71%, a specific environment contributed up to 15% and the common environment reached 32%. The conclusion was that a considerable proportion of the third molar impaction could be attributed to additive genetic effects and the common environment, whereas the specific environment had a lower, but significant impact.
Global urban reforestation can be an important natural climate solution

The climate mitigation potential of urban nature-based solutions (NBSs) is often perceived as insignificant and thus overlooked, as cities primarily pursue NBSs for local ecosystem services. Given the rising interest and capacities in cities for such projects, the potential of urban forests for climate mitigation needs to be better understood. We modelled the global potential and limits of urban reforestation worldwide, and find that 10.9 ± 2.8 Mha of land (17.6% of all city areas) are suitable for reforestation, which would offset 82.4 ± 25.7 MtCO2e yr−1 of carbon emissions. Among the cities analysed, 1189 are potentially able to offset >25% of their city carbon emissions through reforestation. Urban natural climate solutions should find a place on global and local agendas.
Citation quality and knowledge creation in tourism

ABSTRACT Emphasis on research quantity over quality in the modern corporatised university disincentivises mindful research where citations accurately reflect source content. To indicate the extent of this problem in tourism, this research analyses the 155 citations in peer-reviewed journals to Weaver's (2011) article “Can sustainable tourism survive climate change? published in Journal of Sustainable Tourism, which questions conventional wisdom on the need for tourism to prioritise climate change action. Over one-third (36.8%) of citations were ‘knowledge impeding’ due to inaccurate content citation, while none were ‘knowledge developing’ through application, testing or alteration of Weaver (2011) content. The remaining citations accurately cited source content and were therefore ‘knowledge facilitating’. No statistically significant relationship pertained between citation quality and journal quality, or between the former and concurrent reference to Scott's (2011) rejoinder “Why sustainable tourism must address climate change” published in Journal of Sustainable Tourism. Significant relationships were identified with publication time and journal specialisation, with more recent years and non-tourism journals having lower quality citations; specifically, 64.0% of citations in non-tourism journals during 2016–2020 were knowledge impeding. Recommendations include author disclosure statements confirming citation accuracy, random pre-publication audits of accepted papers, and provision of ‘good citation’ guidelines on journal websites.
Modest capacity of no-till farming to offset emissions over 21st century

‘No-till’ (NT) agriculture, which eliminates nearly all physical disturbance of the soil surface on croplands, has been widely promoted as a means of soil organic carbon (SOC) sequestration with the potential to mitigate climate change. Here we provide the first global estimates of the SOC sequestration potential of NT adoption using a global land surface model (LSM). We use an LSM to simulate losses of SOC due to intensive tillage (IT) over the historical time period (1850–2014), followed by future simulations (2015–2100) assessing the SOC sequestration potential of adopting NT globally. Historical losses due to simulated IT practices ranged from 6.8 to 16.8 Gt C, or roughly 5%–13% of the 133 Gt C of global cumulative SOC losses attributable to agriculture reported elsewhere. Cumulative SOC sequestration in NT simulations over the entire 21st century was equivalent to approximately one year of current fossil fuel emissions and ranged between 6.6 and 14.4 Gt C (0.08–0.17 Gt C yr−1). Modeled increases in SOC sequestration under NT were concentrated in cool, humid temperate regions, with minimal SOC gains in the tropics. These results indicate that the global potential for SOC sequestration from NT adoption may be more limited than reported in some studies and promoted by policymakers. Our incorporation of tillage practices into an LSM is a major step toward integration of soil tillage as a management practice into LSMs and associated Earth system models. Future work should focus on improving process-understanding of tillage practices and their integration into LSMs, as well as resolving modeled versus observed estimates of SOC sequestration from NT adoption, particularly in the tropics.
Thermal Controlled Tunable Adhesive for Deterministic Assembly by Transfer Printing

Transfer printing techniques based on tunable adhesives that enable heterogeneous integration of materials in desired layouts are essential for developing existing and envisioned systems such as flexible electronics and micro‐LED (µ‐LED) displays. Here, a novel thermal controlled tunable adhesive, which not only has the ability of eliminating the interfacial adhesion for printing but also provides a new strategy for enhancing the interfacial adhesion for pick‐up is reported. The tunable adhesive features cavities filled with air on the surface. This simple construct offers thermal controlled suction and thrust with their amplitudes on the order of a few tens of kPa within 100 °C temperature change, which enables a reliable damage‐free transfer printing. Systematically theoretical and experimental studies reveal the underlying thermal induced pressure change mechanism and provide insights into the design and operation of the thermal controlled tunable adhesive. Demonstrations of this smart adhesive in manipulation of various surfaces and transfer printing of micro‐scale Si inks and µ‐LEDs illustrate its unusual capabilities for deterministic assembly by transfer printing.
Odstraňování amoniaku z odpadních plyn˙u adsorpcí na zeolitech a jejich následné vyuŽití v zemědělství

In the framework of the project of ammonia removal from waste gases, its adsorption on a natural zeolite, clinoptilolite, was investigated. The material can be simply modified to reach an adsorption capacity comparable with commercial adsorbents for removal of ammonia from the gas phase. The adsorbed ammonia can be utilized as a nitrogen source in plant cultivation. On admixing the ammonia-saturated adsorbent with soil, the yields and quality of plant production were favourably influenced, also by the presence of other nutrients in the adsorbent (K, Ca). The modification of clinoptilolite before ammonia adsorption influences the bonding of ammonia to the adsorbent and, consequently, also the dynamics of its release into soil (soil solutions).
Fusion Before Imaging Method for Heterogeneous Borehole Radar Subsurface Surveys

In this article, an efficient radar fusion-before-imaging (RFBI) method for heterogeneous borehole radar systems is proposed. Different from conventional fusion-after-imaging processes, the sample sets collected from heterogeneous borehole radar systems (monostatic, bistatic, or multiple-input multiple-output) are first merged into one data set before the imaging process in RFBI, and a single imaging operation is demanded to obtain the target space image with high precision. Specifically, the diversity in heterogeneous borehole radar sample sets is taken into consideration, and the radar sample sets are inserted and fused into a high-dimensional sample set before imaging. The target space spectrum is generated according to the echo space–frequency constraint relationship, and the target space is extracted from one imaging process. The influence of clutters in RFBI results is reduced, and the imaging accuracy is satisfactory. Meanwhile, due to the fusion process ahead, the computational time of RFBI hardly increases with the number of radar sample sets. The synthetic and field experiment results show that RFBI demonstrates comparable accuracy as Kirchhoff migration and higher efficiency in processing large amounts of data sets at the cost of large memory requirement, which is suitable for the joint imaging of heterogeneous radar systems.
Innovation Through Developing a Total Enterprise Computer Simulation: Teaching Responsible Decision Making

The increasingly interconnected and complex business environment demands business executives to be equipped with highly developed cross-functional skills and the capacity to integrate responsible decision making in business. To develop students with these attributes, the business higher education sector is expected to employ teaching and learning techniques that produce graduates with the ability and capacity for managing businesses responsibly. However the traditional, linear thinking embedded in current business higher education material and delivery methods hinders such an approach. This article presents an innovative approach to teach responsible decision making through the design, development, and implementation of an online simulation. This teaching approach uses a total enterprise computer simulation which exposes students to interactive, multidisciplinary decision making across functional, societal, environmental, and economic issues. The article also discusses the implications of the findings for theory and practice of designing and using computer simulations for teaching and learning in business higher education.
The role of discourse in long-distance dependency formation

ABSTRACT Sentences with filler-gap dependency are more difficult to process than those without, as reflected by event-related brain potentials (ERPs) such as sustained left anterior negativity (SLAN). The cognitive processes underlying SLAN may support associating a filler with a temporally distant gap in syntactic representation. Alternatively, processing filler-gap dependencies in the absence of a supportive context involves additional discourse processing. The present study conducted an ERP experiment that manipulated syntactic complexity (subject–object–verb [SOV] and object–subject–verb [OSV]) and discourse (the supportive and non-supportive context) in Japanese. The result showed a SLAN in OSV relative to SOV in the non-supportive but not the supportive context, which suggests that the difficulty involved in processing OSV in Japanese is largely due to a pragmatic factor. The present study contributes to a better understanding of how the language-processing system builds long-distance dependency by interacting with the memory system.
SYNTHESIS, CHARACTERIZATION AND ANTIMICROBIAL ACTIVITY OF ZINC OXIDE NANOPARTICLES SYNTHESIZED FROM CALOTROPIS PROCERA

The aim of the study was to compare the yield, nature and antimicrobial activity of nanoparticles synthesized using Calotropis procera leaf extract. ZnO NPs synthesized were characterized by FTIR and SEM. It was evident from SEM images that the size of the particles obtained by biological method is ranging from 100-200 nm. Antibacterial study was carried out on human bacterial and plant bacterial pathogens and their MIC values were determined. The antibacterial activity towards human bacterial and plant pathogen showed good sensitivity towards the green synthesized ZnO NP’s at all concentrations and maximum zone of inhibition occurred at the concentration of 30μg/mL. Minimum Inhibitory concentrations of NPs against human pathogenic bacteria and plant bacterial pathogens, shows that all tested microorganisms were completely inhibited at the concentration of 50 to 12. 5μg/ml of nano-ZnO. The antifungal activity of ZnO NPs against fungi shows that different concentration of ZnO nanoparticles caused significant inhibition in the spore germination.
Determination of Ferulic Acid in Mailuoning Injection by HPLC

Objective:To establish a HPLC method for determination of the content of ferulic acid in Mailuoning Injection.Methods:Kromasil 100-5 C18 column(4.6 mm×250 mm,5 μm) and methanol-0.1% formic acid solution(25∶75) as the mobile phase at a flow rate of 1.0 mL/min were used with a column temperature of 25 ℃,a detection wavelength of 323 nm and a injection volume of 10 μL. Results:The standard curve of ferulic acid was linear in the range of 2.24-89.6 mg/L(r=0.9998). The average recovery rate was 99.47%(RSD=1.76%,n=6). Conclusion:The method is simple and practical.It can be used for content determination of ferulic acid in Mailuoning Injection.
Design of Novel Sensitive Terahertz Biosensors Based on Graphene-Plasmonic Nanostructures

In this paper, four different configurations of sensitive biosensors based on graphene-plasmonic combinations are designed and proposed. The nanostructures are made of graphene, SiO2, aluminum and gold layers on a silicon substrate. Graphene-ring shaped structures with diagonal strips in vertical and horizontal directions are considered in the structures which greatly affect the absorption characteristics (absorption peak value and wavelength). Aluminum layer is used in the structure to prevent the transmission of light throughout some layers and improving the absorption factor. To promote the functionality of the structures, effects of the structural parameters (R1 and R2) and chemical potentials (Ef1, Ef2, Ef3 and Ef4) on the absorption peak-wavelength and its value, are also studied. The four individual configurations with different layers and strip directions demonstrate distinct and different wavelength ranges; structure-1: 45-60 µm, structure-2: 50-70 µm, structure-3: 70-85 µm, and structure-4: 80-100 µm. Thus, they can be utilized for wide categories of applications. Sensitivities of 1500nm/RIU, 2250/RIU, 3750nm/RIU and 4850nm/RIU are obtained for four types, respectively. The proposed structures indicate more sensitivities and they can be used in acceptable sensing characteristics for different applications like hemoglobin and glucose concentrations in blood samples and can be utilized as refractive index bio-sensing sensors.
Added value and music events: a festivalgoer perspective

ABSTRACT This study examines the relationship between festivalgoers and the importance of added value in the festival experience. Aspects of added value are additional benefits or experiences beyond the festivals core advertised activities, such as personalised upgrades or souvenirs. Taking a consumer behaviour approach and focusing specifically on music festivals in the UK, the research explores the extent to which attendee’s individual characteristics (frequency of attendance, motivation and preferred music genre) determines the importance of experiential attributes and added value. A total of 586 responses were collected using an online survey. The data were analysed using Exploratory Factor Analysis and Structural Equation Modelling. The results show that the importance of engagement, services, generic entertainment, festival image and music is revealed to influence the importance of added value. Findings also reveal that festivalgoer’s psychographic and behavioural characteristics determine the importance of festival attributes.
Letters to the Next President: What do Brazilian Youth Say?

This paper discusses how the construction of citizenship and citizen identities takes place among young students in Porto Alegre, Brazil. Considering that education is responsible for fostering the sense of citizenship, this research asked 209 students from a public high school to write letters to a future Brazilian president and to answer an online survey on politics, democracy, and citizenship. Using the Thematic Analysis method, this paper investigates the content of these letters and the answers regarding presidential activities. The responses to both exercises express generic notions and unsuitable speeches regarding politics as well as a feeling of disbelief. It is argued that school education does not develop citizens who can perform their civic roles in society and that such detachment of the students may be a consequence of their incredulity toward politics, resulting in a narrow understanding of the matter.
Investigating the Effect of Heterogeneous Hull Roughness on Ship Resistance Using CFD

Research into the effects of hull roughness on ship resistance and propulsion is well established, however, the effect of heterogeneous hull roughness is not yet fully understood. In this study, Computational Fluid Dynamics (CFD) simulations were conducted to investigate the effect of heterogeneous hull roughness on ship resistance. The Wigley hull was modelled with various hull conditions, including homogeneous and heterogeneous hull conditions. The results were compared against existing experimental data and showed a good agreement, suggesting that the CFD approach is valid for predicting the effect of heterogeneous hull roughness on ship resistance. Furthermore, the local distributions of the wall shear stress and roughness Reynolds number on the hull surface were examined to assess the flow characteristics over the heterogeneous hull roughness.
Creating Customized CGRAs for Scientific Applications

Executing complex scientific applications on Coarse Grain Reconfigurable Arrays (CGRAs) offers improvements in the execution time and/or energy consumption when compared to optimized software implementations or even fully customized hardware solutions. In this work, we explore the potential of application analysis methods in such customized hardware solutions. We offer analysis metrics from various scientific applications and tailor the results that are to be used by MC-Def, a novel Mixed-CGRA Definition Framework targeting a Mixed-CGRA architecture that leverages the advantages of CGRAs and those of FPGAs by utilizing a customized cell-array along, with a separate LUT array being used for adaptability. Additionally, we present the implementation results regarding the VHDL-created hardware implementations of our CGRA cell concerning various scientific applications.
Data-driven physics-informed constitutive metamodeling of complex fluids: A multifidelity neural network (MFNN) framework

In this work, we introduce a comprehensive machine-learning algorithm, namely, a multifidelity neural network (MFNN) architecture for data-driven constitutive metamodeling of complex fluids. The physics-based neural networks developed here are informed by the underlying rheological constitutive models through the synthetic generation of low-fidelity model-based data points. The performance of these rheologically informed algorithms is thoroughly investigated and compared against classical deep neural networks (DNNs). The MFNNs are found to recover the experimentally observed rheology of a multicomponent complex fluid consisting of several different colloidal particles, wormlike micelles, and other oil and aromatic particles. Moreover, the data-driven model is capable of successfully predicting the steady state shear viscosity of this fluid under a wide range of applied shear rates based on its constituting components. Building upon the demonstrated framework, we present the rheological predictions of a series of multicomponent complex fluids made by DNN and MFNN. We show that by incorporating the appropriate physical intuition into the neural network, the MFNN algorithms capture the role of experiment temperature, the salt concentration added to the mixture, as well as aging within and outside the range of training data parameters. This is made possible by leveraging an abundance of synthetic low-fidelity data that adhere to specific rheological models. In contrast, a purely data-driven DNN is consistently found to predict erroneous rheological behavior.