Miracle-dz/UniFAR-FTUs huggingface dataset:
Bioactive Glass Coated Zirconia for Dental Implants: a review

Nowadays zirconia, due to its interesting properties e.g. biocompatibility, strength, aesthetic, chemical and mechanical properties, has got lots of attention for dental implants. On the other hand, bioactive glasses have been used as coating on tougher substrates such as zirconia. Bioactive glass coatings can decrease the healing time and hence accelerate the formation of the bond between bone and implant. Hence in this study, we introduce the novel zirconia/bioactive glass composites with high mechanical strength and bioactivity to achieve the ideal implant dentistry. Furthermore, a review of bioactive glass coatings (i.e. 45S5 and 58S) on zirconia as well as surface modification methods (i.e. sol-gel, laser cladding, plasma spraying, etc.) is provided.
The Adaptive Expertise of Expert ELT Textbook Writers

Although the ELT (English Language Teaching) materials development literature points to the influence of classroom experience on materials design, the literature is less specific about how such experience affects skilled textbook writing. Drawing primarily upon concurrent verbalization and pre- and post-concurrent verbalization interview data collected from two expert ELT textbook writers as they produced coursebook content, this study finds the participants tapped their English language teaching and teacher training experience – with experience operationalized here as knowledge and skills developed as a result of time and effort spent operating in a domain – during writing episodes when using problem-solving skills, navigating constraints, applying pedagogical reasoning skills, and engaging repertoire. The participants, in other words, were able to effect transfer from the neighbouring domains of English language teaching and teacher training to the expertise domain of ELT textbook writing, demonstrating adaptive expertise. This study demonstrates the usefulness of collecting data while participants are writing to discover how transfer effects and adaptive expertise are realized in real-time work and thus makes an important contribution to the research field of materials development. In addition, the results of this study may benefit teachers who look to textbooks for guidance as they develop pedagogic confidence.
Does transport help people to gain employment? A systematic review and meta-analysis of the empirical evidence

ABSTRACT The role of transport in providing access to employment has received considerable attention. Since transport policies may be motivated by assumed effects on employment probability outcomes, it is important to establish the nature of the relationship between transport and employment outcomes. While the majority of the empirical evidence suggests a positive association, it is not conclusive or consistent and often shows mixed results. To address this confusion, our study has systematically reviewed this evidence base and synthesised it through meta-analysis. We first identified 93 studies that quantitatively assessed the impact of transport on employment outcomes. By systematically merging the empirical evidence, this study establishes a positive association between transport and employment outcomes, with varying effects for four identified categories of transport measures (or combinations thereof): car ownership, public transport access, commute times, and job accessibility levels. This positive association persists in studies that control for endogeneity between transport and employment, but a larger evidence base is needed to establish a more robust relationship, in particular for cities and smaller (rural) areas outside the US-context and with regard to public transport. We then selected 20 methodologically comparable studies for inclusion in the meta-analysis. Our meta-regression models clearly demonstrate that car ownership significantly increases individual employment probabilities, in particular among welfare recipients. Young drivers benefit from access to household cars when these are not in use by their parents, and they are more sensitive to the time and cost implications of longer commutes. While our systematic review suggests that better access to public transport and higher levels of job accessibility increases employment probabilities, meta-regression analysis requires more consistent transport measures. The findings in this study are important for policymakers in that they imply that job seekers may benefit from public policies targeted at improving their access to public transport, in particular for people without access to cars and in areas with fewer job opportunities.
Toward more intercomparable road dust studies

Abstract Road dust (RDS) often contains elevated concentrations of pollutants, especially metals. Numerous studies were performed in the last two decades investigating the concentrations of metals like Cu, Pb, and Zn in RDS. In a literature search 177 studies were found where RDS bulk samples were analyzed. In another 49 studies the RDS samples were split into a number of size fractions to consider also the size dependence of the metal concentrations. In RDS bulk sample studies, the upper size limit (USL) of the RDS samples ranged from 2 µm to more than 2000 µm. This is partly a result of the different aims of the studies. However, the concentrations of metals in RDS particles are quite size-dependent. Consequently, comparing of results from different studies makes little sense. Based on the available literature, a standardized sample preparation sequence is proposed in this work. To serve the various aims of RDS studies the separation of the samples into four size fractions is suggested: <10 µm, 10–63 µm, 63–250 µm, and 250–2000 µm. The determination of the mass fractions of the size fractions parallel to the chemical analysis then allows calculation of the concentrations for RDS bulk samples with the four different USLs.
Effects of lactic acid bacteria inoculant on silage quality, fermentation profile and nutritive value of alfalfa silage at different ensiling period

The present study was carried out to investigate the effects of lactic acid bacteria inoculant on quality, fermentation profile and nutritive value of alfalfa silage at different fermentation periods. After harvesting, fresh alfalfa samples were packed into polyethylene film and the commercial lactic acid bacteria inoculant was used as silage additive. Totally of 21 silage packages were opened by weekly for the analysis. Smell, color, structure, and total scores of alflalfa silage were significantly increased from the first week. Silage quality was determined medium at 7th day; good between 14th and 42th days; excellent at 49th day. The Flieg point was gradually increased after d 28 of ensiling (P<0.05). While pH was reduced at 5.15; NH3-N/TN content of alfalfa silage was increased at 15.70% at the end of the study. We observed an increase in acetate concentration and decrease in propionate and butyrate concentrations in the alfalfa silage. Lactate concentration was significantly increased on day 35 of the fermentation (P<0.05). Crude fiber (CF), crude protein (CP), ether extract (EE), neutral detergent fiber (NDF), acid detergent fiber (ADF) contents of alfalfa silage were decreased, whereas nitrojen free extract (NFE) and non-fiber carbohydrate (NFC) were increased during ensiling period. According to our findings, fermentation period had a significant effect on digestible dry matter, dry matter intake and relative feed value of alfafa silage (P<0.05).
Photosynthetic Picoeukaryotes Diversity in the Underlying Ice Waters of the White Sea, Russia

The White Sea is a unique basin combining features of temperate and arctic seas. The current state of its biocenoses can serve as a reference point in assessing the expected desalination of the ocean as a result of climate change. A metagenomic study of under-ice ice photosynthetic picoeukaryotes (PPEs) was undertaken by Illumina high-throughput sequencing of the 18S rDNA V4 region from probes collected in March 2013 and 2014. The PPE biomass in samples was 0.03–0.17 µg C·L−1 and their abundance varied from 10 cells·mL−1 to 140 cells·mL−1. There were representatives of 16 algae genera from seven classes and three supergroups, but Chlorophyta, especially Mamiellophyceae, dominated. The most represented genera were Micromonas and Mantoniella. For the first time, the predominance of Mantoniella (in four samples) and Bolidophyceae (in one sample) was observed in under-ice water. It can be assumed that a change in environmental conditions will lead to a considerable change in the structure of arctic PPE communities.
A 216‐year tree‐ring reconstruction of April–July relative humidity from Mt. Shiren, central China

Long‐term relative humidity change in central China has been rarely studied due to the shortness of instrumental records. In this study, we developed an annually resolved tree‐ring width chronology dating back to 1727 coefficient of efficiency (CE) with Chinese pine (Pinus tabulaeformis Carr.) samples from Mt. Shiren, central China. Relative humidity of current April–July (RHAJ) was reconstructed for the region from 1801 to 2016 CE using a linear regression model, which explains 43.9% of the variance in the instrumental records from 1960 to 2016 CE. The reconstructed RHAJ revealed that there were 33 extremely dry years, accounting for 15.28% of the past 216 years. The five driest years and the corresponding anomalies were 1835 (60.05%), 1955 (60.24%), 1929 (60.50%), 1907 (60.71%), and 1801 (60.83%). In agreement with the PDSI reconstruction for Mt. Shennong and the drought/flood series in Zhengzhou, the reconstructed RHAJ captured common droughts in 1813–1814, 1847, 1876–1880, 1900, 1923–1945, 1960–1961, and wet periods in 1863–1872, 1882–1885, 1897–1898, 1954–1956, and 1983–1984. Spatial correlation analyses showed that the reconstructed RHAJ for Mt. Shiren had significant positive correlations with vapour pressure, precipitation, and relative humidity of 850 hPa around the study area, which indicates that the reconstructed RHAJ reflects regional humidity change in central China. To sum up, these results may be provide us with a better understanding of drought variation in central China.
Short-term photovoltaics power forecasting using Jordan recurrent neural network in Surabaya

Photovoltaic (PV) is a renewable electric energy generator that utilizes solar energy. PV is very suitable to be developed in Surabaya, Indonesia. Because Indonesia is located around the equator which has 2 seasons, namely the rainy season and the dry season. The dry season in Indonesia occurs in April to September. The power generated by PV is highly dependent on temperature and solar radiation. Therefore, accurate forecasting of short-term PV power is important for system reliability and large-scale PV development to overcome the power generated by intermittent PV. This paper proposes the Jordan recurrent neural network (JRNN) to predict short-term PV power based on temperature and solar radiation. JRNN is the development of artificial neural networks (ANN) that have feedback at each output of each layer. The samples of temperature and solar radiation were obtained from April until September in Surabaya. From the results of the training simulation, the mean square error (MSE) and mean absolute percentage error (MAPE) values were obtained at 1.3311 and 34.8820, respectively. The results of testing simulation, MSE and MAPE values were obtained at 0.9858 and 1.3311, with a time of 4.591204. The forecasting has minimized significant errors and short processing times.
An Item‐Level Investigation of Conceptual and Empirical Distinctiveness of Proactivity Constructs

Beyond the prior investigations that took scale‐level approaches to determining discriminant validity in proactivity constructs, the current study contributes a much‐needed interrogation of the items used to measure the behaviors in this domain. The substantive validity (SV) assessments (Study 1) showed that many of the items were judged to be inconsistent with the definition of the construct they assess or, alternatively, more consistent with the definition of a different construct in the domain. Further, exploratory factor analysis revealed the difficulty in empirically separating the four behaviors, while BiM results also advocated against the unique variance of them after accounting for a general factor (Study 2). Altogether, our results show that the items are partly to blame for the empirical redundancy issue.
Evolving magneto-electric device technologies

Here, several classes of magneto-electric devices, and their possible implementations as complementary metal-oxide-semiconductor (CMOS) replacements, are discussed. We consider how these devices can provide considerable improvements in functionality over CMOS when employed in novel circuit architectures. In the context of the magneto-electric device technologies discussed here, we detail the expansion of benchmarking into some of the newer beyond-CMOS technologies. This has required circuit level simulations, using Cadence Spectre or Spice, and Verilog-A based models of the magneto-electric magnetic tunnel junction devices have been used for circuit validation. This has been done as part of a global effort to develop comparative benchmarking standards across logic families, even as new benchmarking methodologies are being developed, while maintaining the familiar CMOS benchmarks.
From Classroom to Boardroom: The Value of Academic Independent Directors

Academic independent directors account for a significant fraction of boards of directors and play important roles. Using Chinese data, we find that stock prices drop by 1.39% following unexpected resignations of academic independent directors due to the ambiguity of a regulation, and by 1.74% following another regulation that explicitly prohibits professors with administrative positions from serving as independent directors. Cross-sectional tests show that the market reacts more negatively when the affected academic director holds more subcommittee chair positions or directorships, assumes a position on the board before the current CEO is in charge, comes from a top-tier university, has high-quality foreign academic experience, or works for firms that are in greater need of monitoring and advisory services. The results from the two samples are broadly consistent. We also offer some explanations for the prevalence of academic independent directors in China. Overall, our results indicate that academic independent directors in China create value for shareholders through both monitoring and advising.
Computer Anxiety and Use of Online Resources by Distance Learning Students in Two Universities in Oyo State, Nigeria

The purpose of this study is to examined computer anxiety and use of online resources by distance learning students in two universities in Oyo State Nigeria. Online resources are important for distance learning students in their academic pursuit but anxiety about the use of computer can pose a major setback to their pursuit of excellence in academic especially as Distance Learning Students (DLS). However, not much focus has been given to a study as this in Nigeria. Descriptive survey design was adopted using a questionnaire as instrument for data collection. Multistage sampling technique was used to sample 270 respondents. Five (5) research questions and one (1) hypothesis were developed to guide the study. The results show that distance learning students from both universities use online resources for educational purposes and general knowledge, positive relationship between computer anxiety and online resources. The study recommends that universities should subscribe for more relevant online resources for the benefit of their students, who desire to use relevant online resources but are hindered by cost and technical issues. Keywords: Computer Anxiety, Online Resources, Distance Learning Students, Universities DOI: 10.7176/IKM/10-2-02 Publication date: February 29 th 2020
Discriminating Stocks of Scomber australasicus Using a Holistic Approach: a Pilot Study

This study assesses the suitability of genetic approaches, parasitology and otolith microchemistry for determining the stock structure of spotted chub mackerel Scomber australasicus in Australasian waters and establishes protocols for using these techniques to determine variability within and among putative stocks. Seventy-five fish from three locations across the geographical distribution of S. australasicus in Australian waters (SE Queensland, South Australia and SE Western Australia) and one location in New Zealand were examined. Genetics and parasite assemblage were analyzed for all fish; otolith microchemistry of Australian fish was also examined. Techniques were successfully developed to extract and amplify a segment of the mtDNA control region, and results showed significant genetic heterogeneity among fish from Western Australia, Queensland, and New Zealand. Parasite analysis identified several taxa that are suitable for use as biological tags and enabled discrimination of fish collected from the four locations. Studies of otolith microchemistry using LA-ICP-MS had sufficient power to distinguish fish from the three Australian locations. This study suggests that there are multiple stocks of S. australasicus within Australian waters, proposes protocols for future studies of finer scale stock structure, and discusses the efficacy of each technique for stock discrimination.
Age-related changes in elastographically determined strain of the facial fat compartments: a new frontier of research on face aging processes

Introduction Our study goal was verification of shear-wave elastography (SWE) as an assessment tool enabling quantitative analysis of facial fat tissue elasticity, using the example of the deep medial cheek fat compartment (DMCFC), due to its major role in pseudoptosis etiology. Aim Furthermore, we determined the age-specific reference values for DMCFC elasticity and analyzed its correlation with body mass index (BMI) and DMCFC thickness. Material and methods The study included 89 female patients (age: 18–63 years, mean: 45.9 ±14.2 years) with intact facial skin. Prior to the procedure, all participants were subjected to SWE of the DMCFC. Reference ranges for elastographic parameters were defined as ± 2 standard deviations (SD), or estimated by means of ROC analysis. Results The DMCFC elasticity correlated inversely with DMCFC thickness (R = –0.292, p < 0.001), age (R = –0.838, p < 0.001) and BMI of the study subjects (R = –0.258, p = 0.001). Age was found to be the only independent determinant of DMCFC elasticity on multiple linear regression analysis (β = –0.837, p < 0.001). The cut-off values for DMCFC elasticity estimated during ROC analysis provided excellent accuracy in distinguishing between women from various age categories, and to a large degree overlapped with the reference intervals defined as ± 2 SD. Conclusions Shear-wave elastography enables quantitative evaluation of facial fat pad elasticity, creating a new frontier in research on age-related processes. The results indicate that elasticity of the DMCFC decreases significantly with age. Tissue elasticity might be an indirect indicator of metabolic and structural properties of facial adipose tissue and its extracellular matrix.
Examining Structural Relationships among Brand Experience, Existential Authenticity, and Place Attachment in Slow Tourism Destinations

Understanding how tourists’ brand experiences impact their existential authenticity, and the role of existential authenticity in the formation mechanism of place attachment to the destination, are key issues for the marketing of a destination. The current study examines the relationship between tourists’ experience, existential authenticity, and place attachment, and the indirect effect of existential authenticity on the relationship between destination brand experience and place attachment from the oriental perspective against the slow tourism background. A self-administered survey was conducted at Yaxi town, the first international slow city in China. A total of 398 samples were analyzed using a two-step approach of the structural equation model (SEM). The findings show that destination brand experience partially impacts existential authenticity, and both the intrapersonal and interpersonal authenticity (the sub-dimensions of existential authenticity) significantly influence place attachment. Additionally, affective and behavioral experience indirectly influence place attachment through existential authenticity. Based on the conclusions, theoretical and practical recommendations are considered.
MEMS Chip With Amplifier for 4-W Power Combining up to 100 GHz

Millimeter-wave and terahertz bands are very attractive for high-resolution radars and fifth-generation communication and beyond; nevertheless, it is very challenging to achieve high output power in silicon. To address this crucial issue, this article first presents an in-house developed silicon micromachining process. Using this process, a power combiner is formed in silicon waveguide, by dry etching and bonding two 8-in silicon wafers. Benefiting from the hollow, symmetrical, and accurately assembled waveguide structure, the power combiner features a measured low loss of 0.2 dB and a high amplitude/phase balance of ±0.15 dB/±2° from 92 to 96 GHz. Moreover, based on this power combiner and an in-house fabricated power amplifier in gallium nitride (GaN), this article further demonstrates a power combing prototype with a typical output power of 4 W, a power-added efficiency of higher than 12.9%, and a combining efficiency of higher than 92%.
Deadbeat Predictive Current Control-Based Fault-Tolerant Scheme for Dual Three-Phase PMSM Drives

In this article, a deadbeat predictive current control-based fault-tolerant scheme is proposed and developed for the dual three-phase permanent-magnet synchronous motor (PMSM) drives. For the open-phase fault of the dual three-phase PMSM, the current references are derived without low-order components for minimum stator copper loss. The utilization of the deadbeat predictive current control guarantees high-control bandwidth for the current references under fault-tolerant operation. Then, a fault-tolerant control scheme is proposed for the open-switch fault based on the hybrid current references, which can fully utilize the remaining one health switch in the faulty inverter leg and minimize the stator copper loss. The additional copper loss caused by the open-switch fault can be reduced by around half with the proposed fault-tolerant control compared to previous remedial strategies. Thus, the ultimate torque output under the open-switch fault can be increased by around 20%. The machine model, the space vector diagram, and the control structure of the motor systems remain unchanged with the proposed fault-tolerant control scheme. The validity of the proposed fault-tolerant control schemes is verified by experiments.
CostNet: A Concise Overpass Spatiotemporal Network for Predictive Learning

Predicting the futures from previous spatiotemporal data remains a challenging topic. There have been many previous works on predictive learning. However, mainstream models suffer from huge memory usage or the gradient vanishing problem. Enlightened by the idea from the resnet, we propose CostNet, a novel recursive neural network (RNN)-based network, which has a horizontal and vertical cross-connection. The core of this network is a concise unit, named Horizon LSTM with a fast gradient transmission channel, which can extract spatial and temporal representations effectively to alleviate the gradient propagation difficulty. In the vertical direction outside of the unit, we add overpass connections from unit output to the bottom layer, which can capture the short-term dynamics to generate precise predictions. Our model achieves better prediction results on moving-mnist and radar datasets than the state-of-the-art models.