Miracle-dz/UniFAR-FTUs huggingface dataset:
Pengaruh Model Pembelajaran dan Minat Belajar terhadap Hasil Belajar Kimia Peserta Didik Kelas XI IPA SMAN 1 Tinambung

ABSTRAK Penelitian ini bertujuan untuk mengetahui pengaruh model pembelajaran dan minat belajar terhadap hasil belajar peserta didik Kelas XI IPA SMA Negeri 1 Tinambung pada materi pokok hidrolisis garam. Populasi dalam penelitian ini adalah keseluruhan peserta didik kelas XI IPA SMA Negeri 1 Tinambung tahun ajaran 2015/2016 yang terdiri dari 4 kelas dengan jumlah peserta didik 144. Penentuan sampel menggunakan random dan terpilih kelas XI IPA3 dan XI IPA2. Penelitian ini merupakan penelitian eksperimen semu menggunakan desain faktorial 2 x 3 dengan tekhnik pengumpulan data melalui kuesioner minat belajar dan tes hasil belajar. Data yang diperoleh dianalisis dengan menggunakan analisis statistik deskriptif dan analisis statistik inferensial menggunakan Two Way Anova dengan tingkat kesalahan 5% (α = 0,05). Hasil analisis statistik deskriptif diperoleh nilai rata-rata hasil belajar peserta didik yang diajar dengan model pembelajaran inquiri lebih tinggi dibandingkan dengan model pembelajaran langsung. Hasil analisis statistik inferensial menujukkan bahwa (a) Model pembelajaran berpengaruh terhadap hasil belajar peserta didik kelas XI IPA SMA Negeri 1 Tinambung; (b) Minat belajar berpengaruh terhadap hasil belajar peserta didik kelas XI IPA SMA negeri Tinambung; (c) Tidak terdapat interaksi antara model pembelajaran dengan minat belajar dalam mempengaruhi hasil belajar peserta didik kelas XI IPA SMA negeri 1 Tinambung. Kata Kunci : Model Pembelajaran, Minat, Hasil Belajar ABSTRACT The study aims at examining the influence of learning model and interest toward learning result of class XI IPA students at SMAN 1 Tinambung on salt hydrolysis subject. The populations of the study were the students of class XI IPA at SMAN Negeri 1 Tinambung of academic year 2015/2016, consisted of classes with the total of 144 students. Samples were collected by employing random sampling and obtained class XI IPA3 and class XI IPA2. The study is quai experiment using factorial 2x3. Data was collected through learning interest questionnaire and test of learning result. Data is obtained by employing statistic descriptive analysis and statistic inferential analysis with Two Way Anova with error level 5% (α=0,05). The result of statistic descriptive analysis reveal that the average of students learning result who were taught by using inquiry learning model is higher than using direct learning model. The result of statistic inferential analysis indicates that (a) the learning model gives influence toward learning result of class XI IPA student at SMAN 1 Tinambung, (b) the learning interest gives influence toward learning result of class XI IPA students at SMAN 1 Tinambung, (c) there is interaction between learning model and learning interest in giving influence of learning result of class XI IPA students at SMAN 1 Tinambung. Keywords: learning model, interest, learning result
Asymptotic stability for spectrally stable Lugiato-Lefever solitons in periodic waveguides

We consider the Lugiato-Lefever model of optical fibers in the periodic context. Spectrally stable periodic steady states were constructed recently in the studies of Delcey and Haragus [Philos. Trans. R. Soc. , A 376, 20170188 (2018)]; [Rev. Roumaine Math. Pures Appl. (to be published)]; and Hakkaev et al. (e-print arXiv:1806.04821). The spectrum of the linearization around such solitons consists of simple eigenvalues 0, −2α < 0, while the rest of it is a subset of the vertical line { μ : R μ = − α } . Assuming such a property abstractly, we show that the linearized operator generates a C0 semigroup and, more importantly, the semigroup obeys (optimal) exponential decay estimates. Our approach is based on the Gearhart-Pruss theorem, where the required resolvent estimates may be of independent interest. These results are applied to the proof of asymptotic stability with phase of the steady states.We consider the Lugiato-Lefever model of optical fibers in the periodic context. Spectrally stable periodic steady states were constructed recently in the studies of Delcey and Haragus [Philos. Trans. R. Soc. , A 376, 20170188 (2018)]; [Rev. Roumaine Math. Pures Appl. (to be published)]; and Hakkaev et al. (e-print arXiv:1806.04821). The spectrum of the linearization around such solitons consists of simple eigenvalues 0, −2α < 0, while the rest of it is a subset of the vertical line { μ : R μ = − α } . Assuming such a property abstractly, we show that the linearized operator generates a C0 semigroup and, more importantly, the semigroup obeys (optimal) exponential decay estimates. Our approach is based on the Gearhart-Pruss theorem, where the required resolvent estimates may be of independent interest. These results are applied to the proof of asymptotic stability with phase of the steady states.
Knowledge and Attitudes of Female Teachers Towards the Emergency Management of Traumatic Dental Injuries in Jeddah City: A Cross-Sectional Study

Teachers are the primary contact point, when an incident occurs in school. Traumatic dental injuries had been frequently reported among school children. The purpose of this study was to assess the attitudes and knowledge of female teachers in Jeddah City in the management of emergency traumatic dental injuries and the referrals of cases to dental clinics within a limited time. In this crosssectional study, a questionnaire was used to collect information from 503 female teachers from schools that were randomly selected. The survey focused on the general demographic characteristics, attitudes, and knowledge among the school teachers, in addition to their preferred strategies for the management of dental emergencies. This fi ndings revealed that 64% of the teachers had positive attitudes about dental emergency management in school, while only 37% of them had suffi cient knowledge about these emergencies. There was no signifi cant association between the attitudes of the participant their knowledge. Despite these positive attitudes displayed by the teachers, there is a signifi cant lack of knowledge among them about the management of dental emergencies, in particular, about tooth avulsion.
The Impact of the Workload and Traumatic Stress on the Presenteeism of Midwives: The Mediating Effect of Psychological Detachment

Objectives. Midwives are at high risk of presenteeism, which may impact the quality of midwifery and maternal and infant health outcomes. However, no research has been conducted to investigate the relationship between workload, traumatic stress, psychological detachment, and presenteeism among midwives. This study, therefore, aimed at exploring the mediating effects of psychological detachment on workload, traumatic stress, and presenteeism among midwives. Method. A multicenter cross-sectional study was conducted among 547 midwives in Jiangsu Province. Participants completed the National Aeronautics and Space Administration task load index, traumatic stress impact subscale for midwives, psychological detachment scale, and Stanford presenteeism scale and provided sociodemographic information. The mediating effects of psychological detachment were assessed using Mplus. Results. The mean score of midwives’ presenteeism was 17.09 ± 3.56. Presenteeism was positively associated with both workload and traumatic stress (both P < 0.01 ) and negatively associated with psychological detachment ( P < 0.01 ) among midwives. Psychological detachment partially mediated the relationships between (a) workload and presenteeism ( β = 0.005, P < 0.05 ) and (b) traumatic stress and presenteeism ( β = 0.006, P < 0.05 ), with mediating effects of 11.90% and 10.00%, respectively. Conclusions. Presenteeism among midwives is at moderately high levels and requires attention from nursing managers. Psychological detachment is a mediating variable of the relationship between workload, traumatic stress, and presenteeism among midwives. Implications for Nursing Management. This study has implications for decreasing midwives’ presenteeism in practical terms. Specifically, it is crucial that care managers attempt to adjust midwives' work patterns, reduce their workload, and provide organizational support for work-related traumatic stress. Moreover, our findings also indicate that psychological detachment is probably an essential element that is worthy of attention.
Mental Representation of Multiple Default Plurals: Evidence from the Adaptation of English Loanwords in Arabic

The present work argues for the existence of multiple default regularities of plural formation in Arabic. As evidenced in the corpus of loanword adaptation in Jordanian Arabic, this study calls for a reassessment of the treatment of idiosyncratic plural forms in the mental lexicon. This investigation is in line with the dual mechanism theory where both memory and rule are active, but with more reliance on the default rule (feminine sound plural –aat) over memory (broken plural patterns). This avoidance of broken plural, which is less predictable and less transparent, is explained by a limited mental lexicon that defines such loanwords and thus blocks a successful mapping of the broken plural’s inflection in the memory. The failure of broken plural retrieval, especially with words that do not match the canonical root system (tri-consonantal), calls for the application of the default feminine sound plural, the most productive, transparent, and regular formation. As a result, frequency and memory association predicted by prosodic similarity between loanwords and the broken plural patterns do not contribute to avoiding the default -aat overgeneralization in the short term.
Effects of deposition height and width on film cooling

ABSTRACT Because natural gas resources continue to be depleted for usage of gas turbines, it becomes important to search for alternate fuels. Coal-derived synthetic fuels contain traces of ash and other contaminants that result in deposition on vane and turbine surfaces. The present research shows a comparison of simulated results with and without a deposition configuration. Film cooling effectiveness distribution after the deposition was obtained to investigate the effects of various deposition heights and widths under the blowing ratios of 0.5, 0.75, and 1.0. The results indicated that the deposition near the hole exit can weaken the cooling performance. Moreover, it is revealed that the film cooling effectiveness deteriorates with increased deposition heights. The deposition width study revealed that a narrow deposition shows a good attachment of the coolant jet to the wall surface. It is found that an improvement of the film cooling effectiveness can be obtained by decreasing the blowing ratio.
Factors Influencing Online Purchase Intention: A Consumer Behavioral Study on Indonesia

PurposeThe purpose of this study is to find out the factors affecting consumers’ purchase intention in online shopping in Indonesia. The foci of this study are the factors that most e-commerce businesses ignore because they do not seem as effective as other factors, such as the benefits, risk etc. This study provides insight into the factors that are affecting online purchase intention. Design/Methodology/ApproachTo test the hypothesis, a sample of 400 consumers was taken both online and offline. Using a random sampling method, this study employed a quantitative approach to do the correlation analysis. The measures of analysis were Cronbach’s Alpha Reliability test, Pearson’s Correlation Matrix and Linear Regression Analysis. Findings of the StudyThe findings show a significant and positive relationship between the dependent variable (i.e. Online Purchase Intention) and independent variables (i.e. Hedonic Motivations, Trust Factor, and Website Quality & Design). These were found to be very influential determinants of the consumers’ decisions. Hence, the hypothesis of this study was accepted. Research Limitations There are various other variables that may affect the online purchase intention, so these should not be the only focus of the businesses while considering online purchase intention.
GC-MS Profiling of Essential Oils from Aerial Parts of Hypericum triquetrifolium Turra using ITEX and HD Methods

Hypericum (H.) triquetrifolium contains numerous bioactive molecules in the aerial parts. Such molecules have numerous biological activities, including antioxidant, anti-inflammatory, antidepressant, antimicrobial, antifungal, antiviral, and anticonvulsant compounds. Despite the presence of H. triquetrifolium in Iraq, no previous studies have examined the biochemical contents of plant in the region. This study is carried out to evaluate the variability of the essential oil profile of aerial parts of Hypericum triquetrifolium Turra. Samples were also analyzed using gas chromatography-mass spectrometry (GC-MS) with two different extraction methods, namely in-tube extraction (ITEX) dynamic headspace and hydrodistillation (HD). A total of thirty-three, forty-three, and thirty-nine compounds were identified in stem, leaves, and flowers, respectively. Monoterpene hydrocarbons were the main compounds in the essential oil extracted from different parts. The highest constituent detected in the ITEX/GC-MS in stem parts was alpha-pinene (20.47%). On the other hand, the predominated compound of the essential oil detected by the HD method was cubenol (26.72%). The essential oil extracted from leaves by ITEX and HD methods showed 43 compounds. ITEX/GC-MS detected 32 products in the essential oil of leaves; vubenol was the highest (23.64%), and Using ITEX and HD/GC–MS, a subset of 39 chemical components in H. triquetrifolium essential oil were detected in the flower. Twenty-five out of 39 compounds, were analyzed by ITEX/GC-MS. The main constituent was 3-methyl-nonane (27.76%). HD/GC-MS method was characterized by detecting 23 components in flower oil. The major chemical structure identified in the essential oil in flower by HD/GC-MS was the monoterpene hydrocarbon represented by alpha-pinene (18.39%). Our data indicates that the ITEX method is more accurate than HD in the separation of essential oil components in this plant. https://creativecommons.org/licenses/by-nc/4.0/
MPFUN2020: A thread-safe arbitrary precision package with special functions (Full Documentation)

Numerous research studies have arisen, particularly in mathematical physics and experimental mathematics, that require extremely high numeric precision — hundreds or thousands of digits in some cases. This paper describes a new arbitrary precision software package (“MPFUN2020”) to support such applications. It comes in two versions: a self-contained all-Fortran version that is easy to install, and a version based on the MPFR package that runs faster although it is more complicated to install. Both versions feature: (a) a completely thread-safe design, so user codes can be converted for parallel execution at the application level; (b) a full-featured high-level Fortran interface, so that most applications can be converted to multiprecision with only minor changes to source code; (c) full support for both real and complex datatypes; (d) numerous transcendental and special functions; (e) run-time checking to guard against problems with converting double precision data; (f) a medium precision datatype that improves performance on large variable precision applications; and (g) interoperability, so that with a simple restriction, application codes written for one version can be run using the other without any code changes. ∗Lawrence Berkeley National Laboratory (retired), 1 Cyclotron Road, Berkeley, CA 94720, USA, and University of California, Davis, Department of Computer Science. Email: dhbailey@lbl.gov.
Green Public Investment

The Covid-19 pandemic has been a truly global shock to all economies, causing a major downturn in world growth. Fiscal authorities have responded by running larger deficits as a proportion of GDP (particularly in advanced economies because of looser financial constraints) and primary deficits are expected to remain higher on average than before the pandemic for several years. Many have argued that this is an opportune time to accelerate green public investment, both to help the recovery and to set it on a more sustainable path – ‘building back better’ (see, for example, Levy et al. (2020), Stern et al. (2020), Schwab and Malleret (2020), the Coalition of Finance Ministers for Climate Action (2020), IMF (2020), World Bank (2020)). The vital role of the natural environment in supporting economic growth and development in the long term is becoming much more widely appreciated, by economists and policymakers alike (see, for example, Bowen (2016), Dasgupta (2021), World Bank (2012) and OECD (2019)). Yet action in this direction so far has been limited. To date, only a small fraction of the massive fiscal support packages to cushion the impact of the pandemic (IMF, 2021) is aligned with the objectives of the Paris Agreement on climate change. Many governments are using post-COVID recovery measures to roll back existing environmental regulations and taxes and to increase fossil-fuel intensive infrastructure and electricity (OECD, 2020).
Scaling of square-prism shear layers

Scaling characteristics, essential to the mechanisms of transition in square-prism shear layers, were explored experimentally. In particular, the evolution of the dominant instability modes as a function of Reynolds number were reported in the range $1.5\times 10^{4}\lesssim Re_{D}\lesssim 7.5\times 10^{4}$ . It was found that the ratio between the shear layer frequency and the shedding frequency obeys a power-law scaling relation. Adherence to the power-law relationship, which was derived from hot-wire measurements, has been supported by two additional and independent scaling considerations, namely, by particle image velocimetry measurements to observe the evolution of length and velocity scales in the shear layer during transition, and by comparison to direct numerical simulations to illuminate the properties of the front-face boundary layer. The nonlinear dependence of the shear layer instability frequency is sustained by the influence of $Re_{D}$ on the thickness of the laminar front-face boundary layer. In corroboration with the original scaling argument for the circular cylinder, the length scale of the shear layer was the only source of nonlinearity in the frequency ratio scaling, within the range of Reynolds numbers reported. The frequency ratio scaling may therefore be understood by the influence of $Re_{D}$ on the appropriate length scale of the shear layer. This length scale was observed to be the momentum thickness evaluated at a transition point, defined where the Kelvin–Helmholtz instability saturates.
Impact of Digital Financial Services on Financial Performance of Commercial Banks in Nigeria

: Since the introduction of information communication technology and the widespread use of the internet, the banking business has undergone considerable changes. Information and communication technology (ICT) is at the heart of Nigeria's current worldwide shift curve in the electronic banking system. In light of this, this study looked into the influence of digital financial services (DFS) on the financial performance of Nigeria's publicly traded commercial banks. The study aims to see if there is a link between the dependent variable, which is financial performance as assessed by banks' earnings-per-share (EPS), and the main independent variables, which are the volume of ATM and POS transactions as a proxy for digital financial services (DFS). Secondary data was employed in the study. The data was collected from the annual report of target banks and the Central Bank of Nigeria from 2012 to 2020. The study used both descriptive and inferential statistics in analysing the data. In general, the study revealed that digital financial services (DFS) have substantial and significant marginal effects on earnings per share in Nigeria’s banking sector. Thus, there exists a positive relationship between digital financial services (DFS) and bank financial performance. In conclusion, electronic banking has made banking transactions to be more accessible by bringing services closer to its customers hence improving banking industry performance. Thus, the study recommends that bank management should enhance digital banking to improve financial performance in commercial banks.
Innovation and Firm Performance: The Moderating Role of Intellectual Capital among Chinese Companies

This study examines the impact of innovation on firm performance and how intellectual capital (IC) moderates the association between innovation and firm performance. We apply an innovation index that measures the frequency of innovative related words, which appear in firm financial reports to proxy for innovation. IC is estimated through the value-added IC (VAICTM) model. This study analyses Chinese firm-year observations of financial profitability (firm value) datasets, which total 19,152 (18,276) over the years from 2007 to 2019. Results indicate that the innovation index is positively related to financial profitability and firm market value. Moreover, the moderating outcomes suggest that IC boosts the positive relationship between innovation index and firm performance. Overall, this study highlights the importance of having innovation and IC together for gaining firm competitive advantages and progressing profitably. That is, firms should be innovative and must manage their IC well.
Source-free Domain Adaptation for Sleep Stage Classification

The popularity of machine learning algorithms has increased in recent years as data volumes have risen, algorithms have advanced, and computational power and storage have improved. EEG-based sleep staging has become one of the most active research areas over the last decade. Labeling each sleep stage manually is a labor-intensive and time-consuming process that requires expertise, making it susceptible to human error. In the meantime, training models on an unseen dataset remains challenging due to physiological differences between subjects and electrode sensor configurations. Unsupervised domain adaptation approaches may provide a solution to this problem by borrowing knowledge from a labeled dataset to train an unlabeled dataset. A source-free unsupervised domain adaptation methodology is employed in this thesis to solve the problem of automatic single-channel EEG sleep stage classification. Our study shows that pre-training source domain models followed by supervised fine-tuning improve the learned representations when applied to EEG sleep signals. We further develop weighted diversity loss in order to achieve a model that outperforms state-of-the-art unsupervised domain adaptation techniques without access to source domain data.