Miracle-dz/UniFAR-FTUs huggingface dataset:
High School Science Teacher Use of Planning Tools to Integrate Computational Thinking

ABSTRACT In an effort to deepen learning in K-12 science classrooms, there has been a national movement to integrate computational thinking (CT). The purpose of this phenomenographic study was to understand teachers’ perceptions of the function and usefulness of a task analysis and a decision tree tool designed to help them with integration. Teachers participated in a long-term professional development to improve their knowledge and application of CT and then developed lesson plans integrating CT into science investigations. To assist in the integration, teachers used the two unique tools. No one lesson plan or content area addressed all of the CT practices, but all CT practices were addressed in lessons across all four science areas. All 19 teachers found that the task analysis tool helped them to shift their lessons to a student-centered focus and helped them pinpoint data practices so they could systematically integrate CT practices. However, they expressed confusion over the amount of detail to document on the tool. Similarly, teachers found both benefits and barriers to the decision tree tool. Teachers found the decision tree tool to be useful in predicting the ways students may misunderstand a data practice and in reflecting on the level of accomplishment of students. However, teachers were sometimes uncertain with how to efficiently document complex student behaviors when engaged with data practices and CT. Implications for the use of the two lesson planning tools is discussed.
Speech Characteristics as Indicators of Personality Traits

This study examines the relationship between speech characteristics and personality traits by drawing on pseudo-naturalistic conversations and on personality dimensions identified by the Myers–Briggs Type Indicator (MBTI) model which assesses four personality dimensions of introversion-extroversion, sensing-intuiting, thinking-feeling, and judging-perceiving. The speech of 30 participants was recorded and transcribed, after which a number of speech features including pitch, loudness, response time (i.e., how fast one responds to a prompt), speech rate, and discourse markers were extracted and analyzed. Results show that several speech features correspond to different personality dimensions. Specifically, speech rate as measured by words per minute reveals significant differences between judging individuals and perceiving individuals (perceiving individuals speak faster than judging individuals); there is a significant difference in response time for extroverts and introverts (extroverts respond faster); a significant difference is observed in loudness between judging and perceiving individuals (judging individuals are louder). The frequency of discourse markers is significantly higher for intuiting individuals than sensing individuals. The study discusses these findings in further inquiring the relationship between language and personality.
Factors related to depression in older adults during the COVID-19 pandemic in two coastal regions of Peru: An analytical cross-sectional study

Background: Mental health problems such as anxiety, depression and their aggravation have been studied extensively in the general population. However, there are few studies on depression in older adults and the few existing results may be contradictory, especially in the context of the COVID-19 pandemic. The aim of this study is to determine the factors associated with depression in older adults in two coastal regions of Peru during the COVID-19 pandemic. Methods: This study uses an analytical cross-sectional design in a population of older adults, who participated in a non-governmental ambulatory social support program in Callao and Ica, two coastal regions of Peru. We administered an on-site structured questionnaire to record sociodemographic data, the Geriatric Depression Scale by Yesavage to measure depression, and the Barthel Index to assess physical function. In order to determine cognitive impairment as an exclusion criterion, the MEC-30 was used. The association between variables was assessed through contingency tables, using the odds ratio (OR) with its corresponding confidence interval (95% CI) and the X2 test. Finally, a binary logistic regression analysis was performed. Results: Out of the 244 older adults surveyed, 39% had depressive symptoms, of which 28.3% (n=69) and 10.7% (n=26) were moderately and severely depressive, respectively. The findings significantly associated with the presence of depressive symptoms were being 76 years old or older [p=0.005, OR: 2.33, 95% CI: 1.29-4.20], not participating in weekly recreational activities [p=0.004, OR: 2.28, 95% CI: 1.31-3.99] and the presence of comorbidities [p=0.026, OR: 1.88, 95% CI: 1.07-3.29]. Conclusion: There are few studies exploring depression in older adults during the COVID-19 pandemic; this research shows the importance of mental health care in this population and, particularly, of those who are 76 or older because they suffer from comorbid conditions and have interrupted recreational activities.
The Influence of Nutrient Medium Composition on Escherichia coli Biofilm Development and Heterologous Protein Expression

In the present study, the effects of different nutrient media on the development of Escherichia coli biofilms and the production of a heterologous protein were examined. E. coli JM109(DE3) cells transformed with pFM23 plasmid carrying the gene for enhanced green fluorescent protein (eGFP) expression were used. Cells were grown in two different culture media, Lysogenic Broth (LB) and M9ZB, in a flow cell system for 10 days. Epifluorescence microscopy, fluorimetry, and a high-performance liquid chromatography (HPLC) method based on hydrophobic interaction chromatography (HIC) were used to assess bacterial growth, plasmid copy number (PCN), and eGFP production in both planktonic and biofilm cells. The results showed that biofilm development was favored in M9ZB medium when compared with LB. However, the number of eGFP-expressing cells was higher in LB for both planktonic and sessile states (two-fold and seven-fold, respectively). In addition, the PCN in biofilm cells was slightly higher when using LB medium (on average, 29 plasmids per cell versus 20 plasmids per cell in M9ZB), and higher plasmid stability was observed in biofilms formed in LB compared to their planktonic counterparts. Hence, E. coli biofilms grown in LB enhanced both plasmid stability and capacity to produce the model heterologous protein when compared to M9ZB.
Cultural Similarities and Variations in the Conceptions of Happiness and Unhappiness: A Comparison Between Italy and Honduras

The present study investigates the conceptions of happiness and unhappiness among university students from Italy and Honduras. A total of 193 Italians and 172 Hondurans took part in a questionnaire study. Respondents were asked to write down the things that made them happy (happiness sources) and those that made them unhappy (unhappiness sources). The content analysis of participants’ answers showed that there was a substantial agreement between Italians and Hondurans over the type of happiness and unhappiness sources they reported. However, the participants’ cultural background significantly influenced the perceived salience of a high number of these sources. Notably, we found several discrepancies between the participants’ cultural orientation and the semantic content of the happiness and unhappiness sources they assigned greater importance to. We also found gender differences in the perceived salience of happiness and unhappiness sources; however, these differences only referred to a small number of sources. The results were interpreted considering theory and research on individualism–collectivism.
Non-Farm Activities and Impacts beyond the Economy of Rural Households in Vietnam: A Review and Link to Policies

Rural households in Asian developing countries such as Vietnam have been participating in non-farm activities for decades, yet impacts beyond the economy of these households are little understood. Using evidence from available literature and two case studies from rural Vietnam, this paper exposes a range of socio-cultural impacts of non-farm activities. An increased social tension driven by a widening economic gap between poor and better-off households or ethnic majority and minority groups was the most frequently reported impact in the literature. The case studies reveal additional impacts, notably those associated with public security, preservation of local culture, and safety of farm households with migrants during and following climate-related disasters. An increasing number of young migrants who exited family farms to access non-farm jobs partially led to the latter two impacts. The rural development and poverty reduction policies of Vietnam enacted in the past two decades (2000–2020) that promoted livelihood diversification had limited measures addressing socio-cultural impacts of non-farm activities. An amendment of these two categories of policies for the implementation beyond 2020 or a strengthened synergy in implementation with other categories of policy such as social policies is necessary to ensure sustainable rural development in Vietnam.
Tonal harmony and the topology of dynamical score networks

I introduce the concept of dynamical score networks for the representation and analysis of tonal compositions: a score is interpreted as a dynamical network where every chord is a node and each progression links successive chords. This network can be viewed as a time series of a non-stationary signal, and as such, it can be partitioned for the automatic identification of tonal regions using time series analysis and change point detection without relying on comparisons with pre-determined reference sets or extensive corpora. I demonstrate that the essential features of tonal harmony, centricity, referentiality, directedness and hierarchy, emerge naturally from the network topology and its scale-free properties. Finally, solving for the minimal length path through a route optimization algorithm on these graphs provides an abstraction of harmonic sequences that can be generalized for the conception of generative models of tonal compositional design.
Developing the Profiles of Business Analytics Adopters and Non-adopters Using Data Mining Tools

ABSTRACT Despite the growing popularity of business analytics (BA) in the increasingly knowledge-based economy, many firms are still skeptical about its strategic value and thus hesitant to adopt BA. To have a true sense of which firms are likely to adopt and then utilize the BA for their competitiveness, this paper identifies BA user characteristics in terms of the user’s firm size, organizational readiness, financial resources, and information technology expertise/infrastructure. In so doing, this paper conducted a series of cluster and decision tree analyses to develop specific profiles of BA adopters and non-adopters based on a sample of 224 Korean firms representing various industry sectors. This paper is one of the first attempts to develop practical guidelines for the successful implementation of BA based on the empirical study of BA practices among Korean firms.
Learning to not belong: entrepreneurial learning experiences of women high-tech entrepreneurs

PurposeThe influence of gender on high-tech entrepreneurship is of growing interest worldwide, as scholars argue that women face gendered barriers specific to this field. Although some gender-focussed research exists on the interplay of context and entrepreneurial learning, these issues have yet to be intensively studied, and the research aims to address this gap.Design/methodology/approachThe research draws upon empirical evidence from the entrepreneurial learning of nine women opportunity entrepreneurs in the high-technology sector in Norway. It employs a qualitative phenomenological approach, with retrospective and in-depth interviews to capture and analyse the entrepreneurs' lived experiences and learning histories.FindingsThe entrepreneurs in this study highlight gendered learning experiences, leading them to make conscious and strategic decisions of both alignment and resistance to negotiate their enterprise in a highly masculine sector. Their prior learning histories of not belonging seem to underpin their preparedness for entrepreneurship in the sector. Counter to prevailing theorizing, not belonging is an enabling condition, allowing women entrepreneurs to subvert and challenge a highly masculinized context. This condition empowers them to mobilize their “otherness” to create change within their own ventures and make the rules on their own terms.Originality/valueThis interdisciplinary research deepens the understanding of the interplay between gender, entrepreneurial learning and context through the concept of belonging and extends theorization of the gendered dynamics in entrepreneurial learning histories. The paper proposes a framework of gendered entrepreneurial learning in a masculinized industry context, which highlights important implications for future gender and entrepreneurial learning research.
Evaluation of Serum Level of Vitamin D in Patients with Female Pattern Hair Loss Thesis

Background: Female pattern hair loss (FPHL) is the most common cause of alopecia in women, characterized by diffuse non-scarring hair loss in frontal, central, and parietal areas of the scalp. Vitamin D is a factor that has recently been considered in dealing with these patients. Objective: The aim of this work was to evaluate the serum level of 25 hydroxy vitamin D in patients with FPHL to elucidate its possible role in the pathogenesis of the disease. Methods: This study included 45 patients with female pattern hair loss; Evaluation of vitamin D level by Elisa was done for both control and patients. Results: Regarding vitamin D levels, mean ± SD. 18.0 ± 11.97. Conclusion: This study indicated the correlation between FPHL and decreased serum levels of Vitamin D3. It is recommended to evaluate serum Vitamin D3 levels as well as other hormone assays in these patients.
LOW BACK PAIN IN MEDICAL STUDENTS: PREVALENCE AND RELATED FACTORS

ABSTRACT Objective To identify the prevalence of low back pain and related factors among graduate medical students, and to measure the level of disability that this pain can cause in these students. Methods Data were collected virtually, through Google Forms. After signing an Informed Consent Form (ICF), the participants responded to a sociodemographic survey, and those who reported having low back pain responded to the Oswestry Disability Index. The data analysis was conducted in three stages, through the R Core Team 2020 statistic program, open-source and free software. The Chi-square Test and Fisher’s Exact Test were used in the second and third stages. Results The study was composed of 200 participants, of whom 58% reported lumbar pain. Of those with pain, 94% had minimum scores on the disability scale. None of the variables showed a relevant connection, though BMI, sex, and use of Alcohol were notable for achieving p-values of around 0.05 or higher. Conclusion The prevalence of lumbar pain among the medical students was 58%, and no specific risk factors were identified. Furthermore, 94% of the students who reported lumbar pain had a minimum disability score and 6% a moderate score. None of the participants presented severe or greater disability. Level of evidence II; A descriptive cross-sectional study with a quantitative approach.
Development of an Innovation Corridor Testbed for Shared Electric Connected and Automated Transportation

Author(s): Oswald, David; Hao, Peng; Williams, Nigel; Barth, Matthew | Abstract: As part of the City of Riverside’s Smart-City initiative, UC Riverside researchers have developed an Innovation Corridor testbed for enabling shared electric connected and automated transportation research. This Innovation Corridor testbed is located in Riverside California, and consists of a six-mile section of University Avenue between the UC Riverside campus and downtown Riverside. The testbed supports various transportation modes including passenger vehicles, trucks, transit (e.g., RTA buses), bicycles, and various forms of micro-mobility. This corridor is continuously being instrumented with various infrastructure equipment to support research in shared electric connected and automated transportation. Specifically for this project, the corridor has been equipped with roadside communications equipment and advanced traffic signal controllers at several key intersections, to help improve safety, mobility and environmental sustainability. With this initial instrumentation, we have then conducted connected vehicle experimentation that utilize the signal phase and timing (SPaT) data from these intersections to smooth traffic flow and reduce emissions. For this Innovation Corridor, a high-fidelity simulation environment was also developed to evaluate potential connected vehicle strategies. A variety of Eco-Approach and Departure (EAD) connected vehicle experiments have been conducted and evaluated, both in simulation and in the real-world. As part of the simulation ecosystem, we have compared the energy and emissions modeling results to see which best matches the real-world measurements.View the NCST Project Webpage
Mitogenomic data elucidate the phylogeny and evolution of life strategies in Dermestidae (Coleoptera)

Dermestidae (Bostrichoidea) exploit diverse food sources including fungal mycelia, but notably they as saprophagous, feeding on decomposing and dried flesh and keratin of animals and plants. Some of them live in spider webs, vertebrate and social insect nests, while others cause damage in human dwellings. Here, we use mitogenomics to reconstruct their phylogeny and evolution of life history strategies. We recovered serial splits of Orphilinae, Thorictinae + Dermestinae, Attageninae, Trinodinae and Megatominae, and we dated the origins of all subfamilies between the Middle Jurassic and Upper Cretaceous. Extant genera started their diversification in the Middle Cretaceous, except for Dermestes that originated in the Eocene. Mycetophagy, the likely feeding style of the common ancestor with Endecatomidae, was retained only by Orphilinae. Since the Late Jurassic, most dermestids have been saprophagous with the preference for desiccated tissue. We infer a scenario of feeding preferences from mycetophagy moving to saprophagy, always depending on food with low water content, followed by the shift from cryptic life in crevices and wood, to commensalism with social Hymenoptera, and ultimately feeding on angiosperm pollen as adults. The dependence on spider larders evolved already in the Early Cretaceous, but lineages with this specialized strategy remained species-poor. We date the origin of exploitation of vertebrate carcasses to the Eocene when modern mammalian fauna became dominant. The diversification of Megatominae (62% of known dermestids) and Attagenus Latreille (17%) coincides with the radiation of angiosperms.
Influence study of post-processing modes on surface properties of parts made with use of additive technologies

It is shown that due to peculiarities of the production process of polymer material parts using methods of additive technologies, it is required to carry out post-processing of the surface of the products. The main methods of post-processing, the influence of modes on the properties of the surface and material of the part are considered. The optimal modes and methods of post-processing of parts made of ABS-plastic by FDM-printing methods are shown.
Tailored HoFeO3–Ho2O3 hybrid perovskite nanocomposites as stable anode material for advanced lithium‐ion storage

In this study, a novel hybrid HoFeO3–Ho2O3 nanocomposite perovskite composite is synthesized via a simple coprecipitation method as a stable, high‐capacity anode material for lithium‐ion batteries. The structure and morphology of the material are characterized using advanced tools such as X‐ray diffraction, scanning electron microscopy, and transmission electron microscopy, all of which confirm the successful synthesis of nanocrystals with highly interconnected porous nanohallows. At 0.1 A g−1, the HoFeO3–Ho2O3 nanocomposite electrodes exhibit a stable reversible capacity of 787 mAh g−1 with a coulombic efficiency exceeding 99.5%. This capacity is nine times higher than that of Ho2O3 and 50% higher than that of Fe2O3 balance samples. This study provides new insights into the use of perovskite‐structured materials with superior electrochemical performance for advanced lithium‐ion storage.
Advances in formal Slavic linguistics 2018

Advances in Formal Slavic Linguistics 2018 offers a selection of articles that were prepared on the basis of talks presented at the conference Formal Description of Slavic Languages (FDSL 13) or at the parallel Workshop on the Semantics of Noun Phrases, which were held on December 5–7, 2018, at the University of Gottingen. The volume covers a wide array of topics, such as situation relativization with adverbial clauses (causation, concession, counterfactuality, condition, and purpose), clause-embedding by means of a correlate, agreeing vs. transitive ‘need’ constructions, clitic doubling, affixation and aspect, evidentiality and mirativity, pragmatics coming with the particle li, uniqueness, definiteness, maximal interpretation (exhaustivity), kinds and subkinds, bare nominals, multiple determination, quantification, demonstratives, possessives, complex measure nouns, and the NP/DP parameter. The set of object languages comprises Russian, Czech, Polish, Bulgarian, Macedonian, Serbo-Croatian, and Torlak Serbian. The numerous topics addressed demonstrate the importance of Slavic linguistics. The original analyses prove that substantial progress has been made in major fields of research.
Broadside Radiation From Chern Photonic Topological Insulators

Broadside radiation from Chern photonic topological insulators (PTIs) is studied in this work. The one-way dispersion of the topological edge mode is located in the fast wave region, making leaky-wave radiation possible. In this communication, design guidelines are presented and validated by full-wave simulations: the Berry curvature and the Chern number of photonic crystals are calculated to design a topological edge mode, then a leaky-wave antenna is proposed where a perturbation is utilized around the source location to eliminate open-stopband behavior and generate broadside radiation with high efficiency. It is demonstrated that leakage of the topological edge mode is capable of both frequency and bias scanning to generate a steerable beam across the broadside direction. Moreover, the mechanism behind the immunity of PTIs to defects is also investigated in detail. Although topological edge waves can bypass PEC-slab defects ideally, the phase change along the defect affects the radiation pattern. The switch between sum-difference beams by tuning the scale of the PEC-slab is direct evidence to verify our analysis. To sum up, the open-stopband behavior is overcome to realize broadside radiation, and the conditional robustness of PTIs in terms of antennas is clarified.