Miracle-dz/UniFAR-FTUs huggingface dataset:
Multi-dimensional explorations into the relationships between high school students’ science learning self-efficacy and engagement

ABSTRACT Promoting student engagement in learning activities and tasks has been a pivotal issue and goal of science education. Relevant literature has not yet addressed the underlying associations among students’ self-efficacy and engagement in science learning from a multi-dimensional perspective. Thus, this study aimed to examine the structural relationships between the two constructs through the structural equation modelling technique to differentiate the predictive powers of multi-faceted self-efficacy on various forms of engagement. A total of 478 Taiwanese senior high school students were invited to answer two survey instruments concerning self-efficacy and engagement in science learning, respectively. The main findings indicate that, first, the ‘Science Learning Engagement Instrument’ was proven to be valid and reliable to assess the students’ five distinct forms of engagement, including Cognitive, Behavioral, Emotional, Social, and Agentic engagement. It seems that the students had less agentic engagement experiences compared to the other forms of learning engagement. Moreover, this study further identified the multifaceted effects of self-efficacy on the manifold aspects of learning engagement in the literature. Overall, the path analysis results provide evidence that, in order to deeply engage learners in science learning, promoting their science learning self-efficacy from various aspects is of great importance.
High‐Precision U‐Pb Zircon Dating of Late Magmatism in the Samail Ophiolite: A Record of Subduction Initiation

Understanding the tectonic setting in which ophiolites form is necessary to determine how they can be used to study ocean spreading and subduction zone processes. Here, we present high‐precision U‐Pb zircon dates and Sm‐Nd isotopic data from two late magmatic series in the Samail ophiolite in Oman and the United Arab Emirates (UAE), which constrain its tectonic development. Volcanic rocks in the ophiolite record a progression from MORB‐like V1 lavas to subduction‐related V2 lavas. Plutonic rocks related to V2 magmatism yielded 206Pb/238U dates of 95.557 ± 0.063–95.289 ± 0.067 Ma. A second late magmatic series consists of felsic dikes and sills that intermittently intrude the upper mantle and are attributed to melting of a subducting slab. These dikes in Oman range from 95.201 ± 0.032 to 94.95 ± 0.10 Ma, with εNd(t) = −5.05 to −1.63. A single dike, attributed to V2 magmatism, has a higher εNd(t) = 7.35 and a date of 95.478 ± 0.032 Ma. Similar intrusions in the UAE are younger, ranging from 94.119 ± 0.057 to 90.998 ± 0.052 Ma. Our new and existing data indicate the following timeline of ophiolite formation during subduction initiation: (1) Initial sole metamorphism at ≥96.2 Ma; (2) Formation of the crust through primarily decompression‐related V1 magmatism from 96.1 to 95.6 Ma; (3) V2 magmatism related to H2O‐fluxed mantle melting from 95.6 to 95.2 Ma; and (4) Intrusion of slab‐derived felsic dikes from 95.2 to 95.0 Ma. The temporal progression of magmatism is similar to the timescales of subduction initiation predicted by geodynamic models and observed in the Izu‐Bonin‐Mariana forearc.
Government Real Estate Interventions and the Stock Market

Abstract We study the spillover of government interventions in the real estate market to the stock market. We find that the more active mutual funds decreased ownership in equities with no short-term reversal. Furthermore, they increased ownership in the finance sector stocks without significant changes to their real estate equity holdings. The interventions affecting the riskiness of the finance sector stocks triggered a larger trading response than the ones focused on the real estate sector stocks’ cash flows. Overall, the spillover of the housing market shocks to the stock market seems to be materialized mostly through the discount rate channel.
The combination of Demodex folliculorum and Aerobic Bacteria in the Etiopathogenesis of Chronic Blepharitis

Aim: This study was conducted to investigate the presence of thecombination of Demodex folliculorum and aerobic bacteria in patients with chronic blepharitis. Material and Method: Seventy-one patients diagnosed with chronic blepharitis were evaluated for the presence of D. folliculorum by light microscope examination of samples prepared from eyelashes collected by eyelash epilation. Culture samples were also obtained from patients’ eyelid margins. Bacterial strainsamong the predominant bacterial colonies grown in cultures were identified using the BD Phoenix identification system (BD Diagnostic Systems, Sparks, USA). Patients were divided into two groups, Demodex-positive and Demodex-negative,and compared according to bacterial production and bacterial strains produced. Results: D. folliculorum was identified in 42 (59.1%) patients. Comparison between Demodex-positive and -negative groups revealeda statistically significant increase in Demodex positivity with age. There was no significant relationship between gender and Demodex positivity. The Demodex-positive group showed a statistically significantly higher bacterial growth in the culture samples than the Demodex-negative group. Both groups exhibited a predominance of Staphylococcus epidermidis . S. epidermidis (38.1% vs. 31.0%), Staphylococcus aureus (19.0% vs. 10.3%), and Corynebacterium spp. (16.7% vs. 6.9%) were detected at higher rates in the Demodex-positive group than in the Demodex-negative group. There was no statistically significant difference between both groups regarding the presence of these bacterial species. Conclusions: Patients with chronic blepharitis could have a mixedinfection site with the combination of D. folliculorum and aerobic bacteria found in the normal eyelid flora.
Optimization and Evaluation of Platooning Car-Following Models in a Connected Vehicle Environment

With the rapid development of information and communication technology, future intelligent transportation systems will exhibit a trend of cooperative driving of connected vehicles. Platooning is an important application technique for cooperative driving. Herein, optimized car-following models for platoon control based on intervehicle communication technology are proposed. On the basis of existing indicators, a series of evaluation methods for platoon safety, stability, and energy consumption is constructed. Numerical simulations are used to compare the effects of three traditional models and their optimized counterparts on the car-following process. Moreover, the influence of homogenous and heterogeneous attributes on the platoon is analyzed. The optimized model proposed in this paper can improve the stability and safety of vehicle following and reduce the total fuel consumption. The simulation results show that a homogenous platoon can enhance the overall stability of the platoon and that the desired safety margin (DSM) model is better suited for heterogeneous platoon control than the other two models. This paper provides a practical method for the design and systematic evaluation of a platoon control strategy, which is one of the key focuses in the connected and autonomous vehicle industry.
Effect of 3D printer enabled surface morphology and composition on coral growth in artificial reefs

Purpose The purpose of this paper is to prove and qualify the influence of textured surface substrates morphology and chemical composition on the growth and propagation of transplanted corals. Use additive manufacturing and silicone moulds for converting three-dimensional samples into limestone mortar with white Portland cement substrates for coral growth. Design/methodology/approach Tiles samples were designed and printed with different geometries and textures inspired by nature marine environment. Commercial coral frag tiles were analysed through scanning electron microscopy (SEM) to identify the main chemical elements. Raw materials and coral species were selected. New base substrates were manufactured and deployed into a closed-circuit aquarium to monitor the coral weekly evolution process and analyse the results obtained. Findings Experimental results provided positive statistical parameters for future implementation tests, concluding that the intensity of textured surface, interfered favourably in the coralline algae biofilm growth. The chemical composition and design of the substrates were determinant factors for successful coral propagation. Recesses and cavities mimic the natural rocks aspect and promoted the presence and interaction of other species that favour the richness of the ecosystem. Originality/value Additive manufacturing provided an innovative method of production for ecology restoration areas, allowing rapid prototyping of substrates with high complexity morphologies, a critical and fundamental attribute to guarantee coral growth and Crustose Coralline Algae. The result of this study showed the feasibility of this approach using three-dimensional printing technologies.
Climate Analogues for Temperate European Forests –Forestry Practice Profits From Silvicultural Evidence in Twin Regions

Climate analogues provide forestry practice empirical evidence of how forests are managed in “twin” regions, i.e. regions where the current climate is comparable to the expected future climate at a site of interest. But the uncertain future climate creates uncertainty in how to adapt the forests. We therefore investigate how the uncertainty in future climate affects tree species suitability and whether there is a common underlying pattern. Like most studies we employ different ensemble variants of RCP 4.5 and 8.5. But instead of focusing on a single point in future time, we resolve each variant in a climate trajectory from 2000 to 2100. We calculate climatic distances between the climate trajectories of our site of interest and the current climate in Europe, generating maps with twin regions from 2000 to 2100. Forest inventories from the twin regions allow us to trace the changes in the prevalence of 23 major tree species. We find that it is not the direction but rather the velocity of the change that differs between the scenarios. We use this pattern to propose a tree species suitability concept that integrates the uncertainty in future climate. Twin regions provide further information on silvicultural practices, pest management, product chains etc.
PD-Type Iterative Learning Control with Adaptive Learning Gains for High-Performance Load Torque Tracking of Electric Dynamic Load Simulator

To realize the high-performance load torque tracking of an electric dynamic load simulator system with random measurement noises and strong position disturbances, a PD-type iterative learning control (ILC) algorithm with adaptive learning gains is proposed in this paper. With the principle of system analyzing, a nonlinear discrete state-space model is established. The adaptive learning gains is used to suppress the effects of periodic disturbances and random measurement noises on the load torque tracking performance. A traditional PD feedback controller in parallel with the proposed ILC is designed to stabilize the system and render the ILC converge quickly. The convergence analysis of the proposed control method ensures the stability of the system. Compared with the fixed learning gains, the experiment results show that the proposed control method has better load torque tracking performance and can effectively suppress the adverse effects of periodic and aperiodic disturbances on tracking accuracy.
A Study in the Children’s Health-Oriented Health Policies After COVID-19 Pandemic Period in Turkey

Aim: The coronavirus disease 2019 (COVID-19) pandemic revealed significant negative effects on children and people with disabilities who are classified as socioeconomically disadvantaged groups in addition to individuals in Turkey as in the whole world. Especially, children constitute the most disadvantaged group in families with low socioeconomic status. The situation of these children was analyzed in the study. Also, the performance of health policies for children in COVID-19 pandemic period has been evaluated. Material and Methods: This study was used in the statistics published in Turkey and in various countries. Results: Outbreaks are likely to cause significant physical and psychological problems, especially in children. In particular, the medium and long-term effects of being locked up at home on children when their parents have to work are not known in addition to the social distancing that they experience due to the inability of children to come together with their peers. In addition to the deaths in the near and distant environment due to the disease, the fear of getting sick has also a high risk to form negative effects on the psychological development of children. For this reason, to protect the health of future generations, policies implemented for the health of today's children gain importance. Conclusion: The right to health and education should be universally given to every child. But in developing countries, families cannot provide adequate support to their children for reasons such as unequal income distribution and unemployment. Children are forced to work to support their families when the help of government and institutions is insufficient or cannot be done regularly.
Influence of capital structure on the economic performance of Brazilian family and non-family businesses

Purpose – This research aims to verify the influence of the capital structure on the economic performance of the Brazilian family and non-family businesses. Design/methodology/approach – The research is characterized as descriptive, documentary, and quantitative, being the accounting data under analysis extracted from the Economatica ® database. The sample is composed of 117 publicly traded companies listed in B3, being 68 family and 49 non-family with an analysis period from 2011 to 2015. To reach the objective, statistical techniques were used, with emphasis on multiple linear regression models. Findings – The results point out that the Short-term Debt Ratio (SDR) and Long-term Debt Ratio (LDR) negatively influence the performance of family businesses, while SDR and LDR have a negative and positive relationship, respectively, with the performance of the non-family business. Originality/value – In short, such results demonstrate that family businesses must follow the pecking-order theory prerogatives to maximize their performance, while managers of non-family organizations need to observe the assumptions of both theories – trade-off and pecking-order – according to the type of indebtedness (short or long term).
Trends and Challenges in Intelligent Condition Monitoring of Electrical Machines Using Machine Learning

A review of the fault diagnostic techniques based on machine is presented in this paper. As the world is moving towards industry 4.0 standards, the problems of limited computational power and available memory are decreasing day by day. A significant amount of data with a variety of faulty conditions of electrical machines working under different environments can be handled remotely using cloud computation. Moreover, the mathematical models of electrical machines can be utilized for the training of AI algorithms. This is true because the collection of big data is a challenging task for the industry and laboratory because of related limited resources. In this paper, some promising machine learning-based diagnostic techniques are presented in the perspective of their attributes.
Assessment and diagnosis of insomnia for clinical and research practice: a scoping review protocol

Insomnia is one of the leading sleep disorders, affecting different age groups, influencing individual’s ability to perform daily life activities, and ultimately diminishing their quality of life. This scoping review aims to identify instruments applied for the diagnosis of insomnia in clinical and research settings to support the nursing process and the decision-making. This review is based on the scope review framework proposed by Peters et al. (2020). The research strategy outlined aims to find studies published in the CINAHL (EBSCOhost) electronic database, Scopus, PubMed and WoS Portals. Grey literature will be accessed through free search via Google and Google Scholar, CAPES Thesis Repository, the Organizations Sleep Brazilian Association and World Sleep Society. This scope review is expected to assist nurses in the clinical reasoning process for identifying Nursing Diagnosis “insomnia”. In addition to the contribution to the research area, a proposal to include an insomnia assessment instrument(s) as diagnostic indicators in the NANDA-I taxonomy is planned. It should be noted the low volume of publications of scope review protocols. This protocol has been registered with the Open Science Framework under DOI 10.17605/OSF.IO/8MRPG.
Optical absorption of carbon‐doped β‐rhombohedral boron and boron carbide in the absorption edge range

The optical interband transition energies of β‐rhombohedral boron are not measurably influenced by carbon doping, but in the front of the absorption edge a carbon dependent absorption develops. The density of states is proportional to the carbon content, but reduced by factor of about 100. Two transition energies were determined. Within the accuracy of measurement the interband transitions of boron carbide agree with those of β‐rhombohedral boron. The carbon induced absorption is found in boron carbide, too, and with an appropriate strength. These results support the assumption that the electronic structures of boron‐rich solids with icosahedral structure are narrowly related. At least in some respects boron carbide behaves like strongly carbon‐doped β‐rhombohedral boron.
Metode Maximum Power Point Tracking (MPPT) dan Boost Converter Menggunakan Fuzzy Logic Controller (FLC) pada Modul Surya

Solar modules have current and voltage characteristics that are non-linear, so efforts must always be made to work at the maximum power point so that no energy is wasted. The characteristics of the solar module will change depending on the level of radiation and temperature which causes the output power of the solar module to fluctuate and become unstable. To reduce oscillations in the output power of the solar module, the Fuzzy Logic Control (FLC) method used using the boost converter. Several studies have been done to maximize the output power of solar panels, one of which is by using namely by using Maximum Power Point Tracking (MPPT). This study aims to obtain the maximum power point in a set of solar modules arranged in series and parallel through the performance of the FLC method. In tracking the maximum power point during normal operation, the fuzzy method works together with a boost converter. Fuzzy-based MPPT was tested on a solar module under several radiation and temperature conditions using Matlab / Simulink software. The Fuzzy design method shows better results compared to other methods. The results obtained show the advantages of the FLC method in terms settling time, power loss, and oscillation at the point of the operating system.
Impact of National Debt on Economic Growth in Tanzania: 1980-2019

This paper is based on the study that examined the impact of external and domestic debt on economic growth of Tanzania over the period 1980-2019. The study’s specific objectives were; to examine trends of external and domestic debts from 1980 to 2019, to determine long run relationship between external debt stock and economic growth in Tanzania from 1980 to 2019, and to examine the long run relationship between domestic debt and economic growth in Tanzania from 1980 to 2019. The study used time series data of Tanzania collected from the Bank of Tanzania (BOT), National Bureau of Statistics (NBS) and the World Bank indicators. The study used Vector error correction model (VECM) for estimation of the time series since all the variables’ data were stationary in first difference I (1), and there was cointegration within the variables. To ensure the validity and reliability of the data; the study carried out normality test, multicollinearity, heteroscedasticity, and unit root tests. The empirical findings reveal that both external and domestic debt significantly affects the economic growth of Tanzania. The study recommends that the government should promote moderate levels of domestic borrowing which can be sustained as it promotes economic growth if used in productive and efficient avenues. The study further recommends that policymakers should efficiently allocate and develop Original Research Article Lelya and Ngaruko; AJEBA, 21(3): 85-96, 2021; Article no.AJEBA. 65753 86 constraints that will ensure the external borrowing is utilized on more productive and development expenditures, so that the finance is a source of increase in net investment in the country.
Advances in Polymeric Nanofiltration Membrane: A Review

ABSTRACT The nanofiltration membrane was first introduced during late 1980s possessing properties between reverse osmosis and ultrafiltration membrane. Nanofiltration membranes have been used for applications including food industry, pharmaceutical, wastewater treatment, and desalination. This review presents an inclusive outlook of recent research and advances in polymeric nanofiltration membrane technology. Various methods were reported for nanofiltration membrane preparation particularly through electron beam irradiation, UV/photografting, layer by layer, plasma treatment, interfacial polymerization, and nanoparticle incorporation. Nanofiltration membranes were reported to remove microorganisms, turbidity, dissolved salts, and hardness. Major problem in application is nanofiltration membrane fouling, thus efforts regarding fouling mitigation are discussed. GRAPHICAL ABSTRACT
The Road Less Traveled: Integrating Neurotherapy with Holistic Neuropsychological Rehabilitation After Severe Head Injury

Introduction: Traumatic brain injury (TBI) is associated with physical, cognitive, emotional, and behavioral disturbances. The cognitive deficits are common after TBI, and a holistic approach to neuropsychological rehabilitation is recommended in these patients. EEG neurofeedback training (EEG-NFT) is a state-of-the-art technique for neuropsychological rehabilitation. There is a paucity of studies exploring the use of EEG-NFT integrated with holistic neuropsychological rehabilitation. Method: Single case design was adopted for the present study. A 25-year-old single male, diagnosed with severe TBI, presented with physical, cognitive, and emotional-behavioral disturbances after 17 months of injury. A comprehensive neuropsychological assessment was carried out. The neuropsychological rehabilitation using EEG-NFT along with psychosocial interventions with the patient and the parents was carried out for 9 months. Results: The patient showed significant improvement in cognitive deficits such as attention, executive functions, and visuospatial ability. Emotional-behavioral problems such as irritability, sadness, and overall dysfunction also improved significantly. Conclusion: The present case study highlights that integrating EEG-NFT along with holistic neuropsychological rehabilitation helps to improve cognitive, emotional, and behavioral disturbances after TBI.