Miracle-dz/UniFAR-FTUs huggingface dataset:
Atomic Imaging of Carbon-Supported Pt, Pt/Co, and Ir@Pt Nanocatalysts by Atom-Probe Tomography

Atom probe tomography (APT) has been used to characterize commercially prepared Pt, Pt/Co alloy, and Ir@Pt core–shell nanoparticles supported on high-surface-area carbon black. Concentration profiles and 3D atom maps revealing the detailed internal structures and compositions of Pt, Pt/Co alloy, and Ir@Pt core–shell particles have been generated, and the distribution of trace impurity elements, including Na and Cl, has been examined. The observation of retained Na on the support, especially in the Pt nanoparticle system, indicates a more rigorous washing procedure is required. In the Pt/Co alloyed carbon-supported nanoparticle system, a marked variation in both compositions and particle sizes is observed. In the case of Ir@Pt, significant intermixing of the Ir core and Pt shell atoms takes place, which would be very difficult to measure by other techniques. All such observations will likely impact the catalytic performance of these materials. We envisage that the single nanoparticle analysis capability of.
Green, yellow or black? Genetic differentiation and adaptation signatures in a highly migratory marine turtle

Marine species may exhibit genetic structure accompanied by phenotypic differentiation related to adaptation despite their high mobility. Two shape-based morphotypes have been identified for the green turtle (Chelonia mydas) in the Pacific Ocean: the south-central/western or yellow turtle and north-central/eastern or black turtle. The genetic differentiation between these morphotypes and the adaptation of the black turtle to environmentally contrasting conditions of the eastern Pacific region has remained a mystery for decades. Here we addressed both questions using a reduced-representation genome approach (Dartseq; 9473 neutral SNPs) and identifying candidate outlier loci (67 outlier SNPs) of biological relevance between shape-based morphotypes from eight Pacific foraging grounds (n = 158). Our results support genetic divergence between morphotypes, probably arising from strong natal homing behaviour. Genes and enriched biological functions linked to thermoregulation, hypoxia, melanism, morphogenesis, osmoregulation, diet and reproduction were found to be outliers for differentiation, providing evidence for adaptation of C. mydas to the eastern Pacific region and suggesting independent evolutionary trajectories of the shape-based morphotypes. Our findings support the evolutionary distinctness of the enigmatic black turtle and contribute to the adaptive research and conservation genomics of a long-lived and highly mobile vertebrate.
Quantifying variation in female internal genitalia: no evidence for plasticity in response to sexual conflict risk in a seed beetle

Sexually antagonistic coevolution can drive the evolution of male traits that harm females, and female resistance to those traits. While males have been found to vary their harmfulness to females in response to social cues, plasticity in female resistance traits remains to be examined. Here, we ask whether female seed beetles Callosobruchus maculatus are capable of adjusting their resistance to male harm in response to the social environment. Among seed beetles, male genital spines harm females during copulation and females might resist male harm via thickening of the reproductive tract walls. We develop a novel micro computed tomography imaging technique to quantify female reproductive tract thickness in three-dimensional space, and compared the reproductive tracts of females from populations that had evolved under high and low levels of sexual conflict, and for females reared under a social environment that predicted either high or low levels of sexual conflict. We find little evidence to suggest that females can adjust the thickness of their reproductive tracts in response to the social environment. Neither did evolutionary history affect reproductive tract thickness. Nevertheless, our novel methodology was capable of quantifying fine-scale differences in the internal reproductive tracts of individual females, and will allow future investigations into the internal organs of insects and other animals.
Classification of first strain-gradient elasticity tensors by symmetry planes

First strain-gradient elasticity is a generalized continuum theory capable of modelling size effects in materials. This extended capability comes from the inclusion in the mechanical energy density of terms related to the strain-gradient. In its linear formulation, the constitutive law is defined by three elasticity tensors whose orders range from four to six. In the present contribution, the symmetry properties of the sixth-order elasticity tensors involved in this model are investigated. If their classification with respect to the orthogonal symmetry group is known, their classification with respect to symmetry planes is still missing. This last classification is important since it is deeply connected with some identification procedures. The classification of sixth-order elasticity tensors in terms of invariance properties with respect to symmetry planes is given in the present contribution. Precisely, it is demonstrated that there exist 11 reflection symmetry classes. This classification is distinct from the one obtained with respect to the orthogonal group, according to which there exist 17 different symmetry classes. These results for the sixth-order elasticity tensor are very different from those obtained for the classical fourth-order elasticity tensor, since in the latter case the two classifications coincide. A few numerical examples are provided to illustrate how some different orthogonal classes merge into one reflection class.
Supportive Development of Phonological Awareness Through Musical Activities According to Edgar Willems

It is important that before entering primary school, the child’s phonological awareness is supported by a variety of different activities whereby phonological awareness is based on a well-developed hearing ability. Hearing is part of the musical activities that support/encourage phonological awareness with the development of rhythmic and melodic music listening. In this article, we aimed to investigate the effects of musical activities derived from the methodological system of Edward Willems on phonological awareness through a quasi-experimental study with 70 children aged 4 to 7 years. Thirty-five of them received 1 hr of music instruction per week for 6 months (experimental group) and the other 35 children received no such musical support (control group). We tested each child’s phonological awareness at the beginning of the music program and after 6 months. The results of the analysis of covariance showed that there was a statistically significant difference in phonological awareness between the experimental and control groups in favor of the experimental group. The results of the research confirmed that musical activities based on the methodological system Edgar Willems are a good and effective means of promoting phonological awareness, especially in early childhood.
Implications of Lesson Study for Tertiary-Level EFL Teachers’ Professional Development: A Case Study From Turkey

This qualitative case study carried out at a Turkish university with four English language teachers aims to explore what teachers experience in the planning, implementation, analysis, and reporting phases of the lessons study process and what the implications of lesson study for teacher professional development can be. Data in this four-month study were gathered through observations, interviews, whole group discussions, and reflective reports. Findings revealed that lesson study had potential challenges and benefits for the professional development of teachers. The model poses challenges in finding a topic and research question, determining the lesson design and teaching style, making student thinking observable and analyzing qualitative data. On the other hand, it benefited teachers in terms of increasing their pedagogical content knowledge, reflectivity, research skills, collaboration, and collegiality. This study suggests that lesson study might be a good starting point for institutions wishing to adopt a more teacher-led, inquiry-driven and collaborative perspective for professional development.
Examining Boyhood Masculinity Within an Irish Context: An Assessment of the Reliability and Structural Validity of the Meanings of Adolescent Masculinity Scale and the Adolescent Masculinity Ideology in Relationships Scale

The Meanings of Adolescent Masculinity Scale (MAMS) and the Adolescent Masculinity Ideology in Relationships Scale (AMIRS) were designed by American researchers to assess masculinity in adolescent boys. Given that masculinities differ cross-culturally, though, these scales may not be viable for use with non-American populations. In the current study, 221 Irish adolescents completed the MAMS and the AMIRS. Using confirmatory factor analyses (CFAs), the MAMS’s and the AMIRS’s factor structures were tested. Results indicated poor goodness-of-fit in both cases. Attempts to improve the models were unsuccessful. Accordingly, neither the MAMS nor the AMIRS appear to be structurally valid within an Irish context. We recommend that researchers consider cultural variations when designing, validating, and utilizing indicators of masculinity.
The Impact of GDP and Its Expenditure Components on Unemployment Within BRICS Countries: Evidence of Okun’s Law From Aggregate and Disaggregated Approaches

This article examines the responsiveness of changes in the unemployment rate to changes in output for Brazil, Russia, India, China, and South Africa (BRICS) using aggregate and disaggregated data from 1991 to 2018. We also split the entire sample period into two subsamples (from 1991 to 2008 and 2009 to 2018) to see the responsiveness of changes in the unemployment rate to changes in the GDP in pre and post global financial crisis period of 2007–2008. Three different econometric methods were employed for conducting the analysis. Results obtained from aggregated and disaggregated data for the entire sample and two subsamples confirm the validity of the Okun law for BRICS. The postcrisis period Okun’s law estimates are larger than those from the full sample and precrisis period. Disaggregated data results show private consumption is the main determinant of the unemployment rate and its estimate is negative and significant. Along with consumption expenditures, other variables that have relevancy in determining changes in the unemployment rate are government expenditures, exports, and imports. Based on aggregated and disaggregated data results, it is recommended that the relevant authorities must focus sustainable economic growth for reducing unemployment rate in the country. Particularly, they must incentivize consumption and government expenditures, boost exports, and curtail imports for reducing the unemployment rate.
Olfaction and Aging: A Review of the Current State of Research and Future Directions

Olfaction, the sense of smell, is characterized by a notable age-dependency such that aging individuals are more likely to have poor olfactory abilities. These impairments are considered to be mostly irreversible and as having potentially profound effects on quality of life and food behavior, as well as constituting warning signs of mortality, cognitive dysfunction, and dementia. Here, we review the current state of research on aging and olfaction, focusing on five topics which we regard to be of particular relevance for the field: nutrition and health, cognition and dementia, mortality, environment and genetics, and training-based enhancement. Under each of these headlines, we provide a state-of-the-art overview and discuss gaps in our knowledge which might be filled by further research. Understanding how olfactory abilities are diminished in aging, and how they may be alleviated or recovered, involves a set of challenging tasks for researchers in the years to come.
Application of image recognition in workpiece classification

With the rapid development of information technology and widespread use of the Internet of Things, machine intelligence will undoubtedly emerge as a leading research topic in the future. The main purpose of the present research is to incorporate an image recognition system into a robotic arm motion to achieve automatic classification. First, we upload captured images to a PC for classification process and use chess patterns to conduct a sampling test. Next, when the system identifies these patterns as proper chess patterns, the robotic arm grabs the objects and moves them to designated locations. The project is divided into two main sections: image recognition and robotic arm motion. In the image recognition section, we use Keras and the Tensorflow open source learning machine to build a convolutional neural network model. Then, we use a learning model network that is a considerably more compact variant of the VGGNet network in the image recognition system. With this model, we achieve a recognition accuracy of 95%. In the robotic arm section, we use a five-axis robotic arm and an Arduino Uno board as the controller. We design the Denavit–Hartenberg parameters of the arm and calculate the direct (inverse) kinematics parameters to plan its trajectory. Thereafter, we use MATLAB software to simulate prototype processes, such as grabbing, moving, and placing. Finally, we import the program into the controller so that the robotic arm can execute classification based on the chess pattern.
Novel Optimization-Based Parameter Estimation Method for the Bass Diffusion Model

The Bass model is the most popular model for forecasting the diffusion process of a new product. However, the controlling parameters in it are unknown in practice and need to be determined in advance. Currently, the estimation of the controlling parameters has been approached by various techniques. In this case, a novel optimization-based parameter estimation (OPE) method for the Bass model is proposed in the theoretical framework of system dynamics (SD). To do this, the SD model of the Bass differential equation is first established and then the corresponding optimization mathematical model is formulated by introducing the controlling parameters as design variable and the discrepancy of the adopter function to the reference value as objective function. Using the VENSIM software, the present SD optimization model is solved, and its effectiveness and accuracy are demonstrated by two examples: one involves the exact solution and another is related to the actual user diffusion problem from Chinese Mobile. The results show that the present OPE method can produce higher predicting accuracy of the controlling parameters than the nonlinear weighted least squares method and the genetic algorithms. Moreover, the reliability interval of the estimated parameters and the goodness of fitting of the optimal results are given as well to further demonstrate the accuracy of the present OPE method.
A Grounded Theory Analysis of the Experience of Therapy in the Context of Negative Change

Negative change occurring during psychotherapy is relatively underresearched and current theories take little account of social context. Eight clients and four therapists were interviewed about their therapy experience when reliable score deterioration on an outcome measure was observed, with the aim of generating a Grounded Theory model of negative change. The emerging model identified three major themes: a context of adversity, the therapeutic experience, and help withdrawn (within the context of positive outcomes). Difficulties included wanting therapy to provide more advice, talking about distressing issues, relationship difficulties, ambivalence, and a wish for support instead of change. Client context merits increased attention. Changes in outcome measures used, more diverse supervision models, training to use outcome measures constructively, and sensitive, routine analysis of negative change are indicated. Increased availability of therapies able to address clients’ interpersonal and social context and a wider choice of therapy type would allow interventions to better fit the individual in context.
Promoting Female Entrepreneurship: The Impact of Gender Gap Beliefs and Perceptions

Perceptions and institutional frameworks can be barriers or facilitators to the development of female entrepreneurship policies. Institutions rely on factual data on the gender gap to evaluate their policies. However, the literature shows that the research and institutions should also analyze the impact of social beliefs on the success of these policies and initiatives. This study focuses on the impact of these perceptions in promoting female entrepreneurship. Data were collected from 287 responses to a questionnaire from Spanish women and men and were analyzed using multivariate regression analysis. The results show that the perception of lack of equality increases the gender gap even if there are specific and effective policies in a society that attempt to eliminate the gender gap in terms of the role of women in the home or positions of power. The main result is that these perceptions ultimately affect women’s entrepreneurial intentions. The results have policy implications for companies and public institutions willing to change the gender narrative about entrepreneurship and design policies and initiatives that help women overcome cultural barriers and effectively promote female entrepreneurship.
Importance of the Open Data Assessment: An Insight Into the (Meta) Data Quality Dimensions

Data are the most important resource of the 21st century. The open data (OD) movement provides publicly available data for the development of a knowledge-based society. As such, the concept of OD is a valuable information technology (IT) tool for economic, social, and human development, which adds value. To further develop these processes on a global scale, users need to manage the quality of OD in their practices. Otherwise, what is the point of using data just for the sake of using it (in science or practice) without thinking about data compliance with norms, standards, and so forth? This article aims to provide an overview of (meta)data quality dimensions, sub-dimensions, and metrics used within OD assessment-related research papers. To achieve this, the authors performed a systematic literature review (SLR) and extracted data from 86 relevant studies dealing with the evaluation of OD. The article endows the progress made so far in OD assessment research. Findings of reviewing the assessment of the OD in the light of existing (meta)data quality dimensions unveil the potential of metadata. Furthermore, the analysis disclosed the need for greater use of quantitative methods in research, and metadata can greatly assist in this.
INELASTIC NEUTRON SCATTERING STUDY OF HOST AND GUEST MOLECULAR MOTIONS IN METHANE HYDRATE

Methane hydrate has a unique structure that the host water framework forms two kinds of cages, which contain one methane molecule each. Therefore, it has been expected that there may exist three kinds of translational modes of a methane molecule and also the distortion of translational mode of host water molecules compared with normal ice. We need information of the host and guest molecular dynamics over the wide momentum and energy transfer region for studying such dynamics. In this study inelastic neutron measurements were carried under 40 K with MARI spectrometer at ISIS in UK, TAS at JRR-3 and CAT at KENS in Japan. For the methane molecular motion we could confirm its freelike rotation by complementary use of MARI and TAS spectra. After the subtraction of the scattering intensity of the rotation evaluated by the free rotation model from the experimental data, three kinds of translation modes were identified at first experimentally. On the experimental spectra there still remains the excess intensity which could not explain the single mode excitation. The libration mode of the water framework shows the different momentum and energy transfer dependence with those of normal ice. The feature of the libration mode is resemble to ice-IX, that could be considered as a proton ordering of the cage structure appeared in ice-II, VIII and IX.
Xanthene-stained nanoparticles for phosphorescence anisotropy measurements

Abstract For the measurement of flow-induced microrotations in flows utilizing the depolarization of phosphorescence anisotropy, suitable luminophores are crucial. The present work examines dyes of the xanthene family, namely Rhodamine B, Eosin Y and Erythrosine B. Both in solution and incorporated in particles, the dyes are examined regarding their luminescent lifetimes and their quantum yield. In an oxygen-rich environment at room temperature, all dyes exhibit lifetimes in the sub-microsecond range and a low intensity signal, making them suitable for sensing fast rotations with sensitive acquisition systems.
IoT-based smart cities: a bibliometric analysis and literature review

Abstract Modern cities face many challenges related to globalisation, metropolisation and digitalisation. The smart city concept, which has been gaining popularity in recent years, is considered an answer to their needs. One of the paradigms of modern smart cities is the Internet of Things. This article aims to identify the main research directions and trends in the scientific literature in the field of Internet-of-Things-based smart cities. The author of the paper conducted a bibliometric analysis of publications from 2012–2021, collected from the Web of Science, Scopus and IEEE Xplore databases. The methodology includes: (i) the selection of databases and key words, (ii) defining search criteria, (iii) data export, creation of an aggregate database and record selection, and (iv) the analysis of the results and identification of the major research trends. The study involved 1019 publications. The last stage of the research process identified the leading countries, institutions, journals, and authors in terms of publication activity, as well as the most frequently occurring terms. The key word analysis allowed identifying five main research directions: IoT application domains in smart cities, IoT architecture for smart cities, energy, security and privacy and data. Within each area, the main research themes have been identified, and selected publications have been reviewed.
The research on the impact assessment of visual landscape of country parks In Beijing

AbstractThe attribute of a country park and its visual environment are not only influenced by the distance from the park to the downtown area, but also the degree of urbanization. Based on the landscape geography, landscape ecology, landscape aesthetics theories and the Guideline for Technical Review of Environmental Impact Assessment of Construction Projects (HJ 616-2011) and aiming to evaluate the visual quality of the country parks, we put forward three first-grade indicators (visual sensitive capacity, visual space capacity and visual absorption capacity) and seven second grade indicators (sighting distance, visual disturbance frequency, green looking ratio, inter-visibility, openness, relative angle and the relative area of artificial matrix) in our research. By virtue of the established entropy weight method model, combined with field data, the quantitative research of the visual environment of landscape in country parks was carried out so that the visual quality of the park can be improved. At same.