Miracle-dz/UniFAR-FTUs huggingface dataset:
Structured Ni@
 NaA
 zeolite supported on silicon carbide foam catalysts for catalytic carbon dioxide methanation

Funding information EPRSC grant, Grant/Award Number: EP/ R026939/1 EP/R026815/1 EP/R026645/1 EP/R; European Commission Horizon 2020 Marie Skłodowska-Curie, Research and Innovation Staff Exchange (RISE) project, Grant/Award Number: H2020-MSCA-RISEZEOBIOCHEM-872102; European Commission Marie Skłodowska-Curie Individual Fellowship, Grant/Award Number: 748196; European Commission, Grant/Award Number: H2020-MSCA-IF; Horizon 2020; European Union Abstract Carbon dioxide (CO2) conversion is an important yet challenging topic, which helps to address climate change challenge. Catalytic CO2 methanation is one of the methods to convert CO2, however, it is limited by kinetics. This work developed a structured Ni@NaA zeolite supported on silicon carbide (SiC) foam catalyst (i.e., Ni@NaA-SiC), which demonstrated an excellent performance with a CO2 conversion of 82%, being comparable to the corresponding equilibrium conversion, and CH4 selectivity of 95% at 400 C. The activation energy for CO2 conversion over the 15Ni@NaA-SiC catalyst is about 31 kJ mol, being significantly lower than that of the 15Ni@NaA pelletized catalyst (i.e., 84 kJ mol). Additionally, the structured catalyst was highly stable with sustained CO2 conversion at 78.7 ± 1.4% and selectivity to CH4 at 97.7 ± 0.2% over an 80 hr longevity test. In situ diffuse reflectance infrared Fourier transform spectroscopy-mass spectroscopy characterization revealed that catalysis over the structured catalyst proceeded primarily via the CO free mechanism.
ANALISIS PENGARUH FAKTOR-FAKTOR FUNDAMENTAL KINERJA BANK DAN MAKRO EKONOMI TERHADAP STABILITAS PERBANKAN DI INDONESIA

This study aimed to analyze the influence of fundamental factors and macro-economic performance of the bank to the stability of banks in Indonesia during the period 2011-2017. Fundamental factors indicated by the LDR, NPL and CAR. Meanwhile, macroeconomic factors indicated by variable Bi rate and inflation. Banking stability is reflected by the banking stability index. This study uses a quantitative approach to the panel regression analysis model data by using the tools of the computer program eviews 10. The results of these empirically demonstrated that simultaneous, variable factors of fundamental and macroeconomic factors have a significant influence on the stability of perbankan. While partially, the results of this study indicate that the variable LDR, NPL, Bi rate and inflation significant influence on the stability of the banking and CAR variables not significant effect on the stability of the banking system.
Qualitative inquiry on parental involvement in children’s education: perspectives of parents, children, and teachers in select elementary schools in the Philippines

ABSTRACT This is a qualitative inquiry looking into the experiences of parental involvement in the context of Philippine public elementary education. This paper has two goals. First, it aims to present the strategies that Filipino parents employ in order to influence children’s education. Second, it aims to examine unique involvement strategies among Filipino parents. Data of this paper were culled from 12 focus group discussions conducted in 5 provinces of the country. The results of the study suggest that there are parental involvement strategies unique to the Philippine context owing to the poor economic conditions of some Filipino families. While it is not directly related to education, making ends meet and providing food for the family’s table were seen as parental involvement strategies. To compensate for the limited direct involvement in education, Filipino parents looked for other means to be able to help their children excel such as exempting the latter from doing household chores, avoiding vices, and maintaining quality family relationships. It against this backdrop that this paper recommends that future quantitative studies on parental involvement in the Filipino parents’ context need to consider indirect parental involvement strategies as indicators or variables as these may have spillover impacts on children’s schooling.
The many roles of change agency in the game of green path development in the North

The rapidly expanding stream of path development studies recognises that translating observations from past paths to conscious path creation requires conceptually linking agency to path development frameworks. Actors frame issues about and for the future, coordinate their actions in the present and make sense of what may have transpired in the past. The main objective of the paper is to explore the roles that actors play in green path development by answering the following main research questions: (a) Who are the core actors in green path development in the Nordic regions, ie. in industrial development around products, solutions or technologies that make regional economies more sustainable? (b) What are their main roles in relation to other actors? (c) What are the differences and similarities between the regions in terms of agency? The paper explores whether similar actors take on different roles in different regions and whether different actors may assume similar roles. For the empirical analysis, we identified seven roles in change agency. The empirical results showed that institutional entrepreneurship was the core of change agency in conjunction with innovative entrepreneurship and place-based leadership. The other four roles supported path development efforts. The results also show that institutional entrepreneurship is not a solo activity but a collective form of agency and that well-functioning shared institutional entrepreneurship may have a chance to change institutions for green path development.
SoftVoice Improves Speech Recognition and Reduces Listening Effort in Cochlear Implant Users.

OBJECTIVES The ability to perceive soft speech by cochlear implant (CI) users is restricted in part by the inherent system noise produced by the speech processor, and in particular by the microphone(s). The algorithm "SoftVoice" (SV) was developed by Advanced Bionics to enhance the perception of soft speech by reducing the system noise in speech processors. The aim of this study was to examine the effects of SV on speech recognition and listening effort. DESIGN Seventeen adult Advanced Bionics CI recipients were recruited and tested in two sessions. The effect of SV on speech recognition was tested by determining the SRT in quiet using the Matrix test. Based on the individual subjects' SRTs, we investigated speech-recognition scores at fixed speech levels, namely SRT -5 dB, SRT +0 dB, SRT +5 dB, and SRT +10 dB, again in quiet and using the Matrix test. Listening effort was measured at each of these speech levels subjectively by using a rating scale, and objectively by determining pupil dilation with pupillometry. To verify whether SoftVoice had any negative effects on speech perception in noise, we determined the SRT in steady state, speech-weighted noise of 60 dBA. RESULTS Our results revealed a significant improvement of 2.0 dB on the SRT in quiet with SoftVoice. The average SRT in quiet without SoftVoice was 38 dBA. SoftVoice did not affect the SRT in steady state, speech-weighted noise of 60 dB. At an average speech level of 33 dBA (SRT -5 dB) and 38 dBA (SRT +0 dB) in quiet, significant improvements of 17% and 9% on speech-recognition scores were found with SoftVoice, respectively. At higher speech levels, SoftVoice did not significantly affect speech recognition. Pupillometry did not show significant effects of SoftVoice at any speech level. However, subjective ratings of listening effort indicated a decrease of listening effort with SoftVoice at a speech level of 33 dBA. CONCLUSIONS We conclude that SoftVoice substantially improves recognition of soft speech and lowers subjective listening effort at low speech levels in quiet. However, no significant effect of SoftVoice was found on pupil dilation. As SRTs in noise were not statistically significantly affected by SoftVoice, we conclude that SoftVoice can be used in noisy listening conditions with little negative impact on speech recognition, if any. The increased power dema demands of the algorithm are considered to be negligible. It is expected that SoftVoice will reduce power consumption at low ambient sound levels. These results support the use of SoftVoice as a standard feature of Advanced Bionics CI fittings for everyday use.
The Effects of Mesquite (Prosopis juliflora) on Soils and Plant Communities in the Deserted Rangelands of Bahrain

The influence of mesquite trees (Prosopis juliflora (Swartz) D.C.) on the physicochemical properties of soils and annual understory plants was investigated in the deserted rangelands of Bahrain. Soil properties were measured in the understory and the uncanopied adjacent areas of mesquite trees. Likewise, the number of plant species was assessed in four 1 × 1 m randomly distributed quadrates in the understory and the uncanopied adjacent areas. The results showed that sand particles exceed 96% of soil composition. Soil bulk density at the 0–5 cm soil depth was significantly higher in the understory of trees compared to the uncanopied adjacent areas. However, moisture at a depth of 40–60 cm was significantly higher in the uncanopied adjacent areas. No differences in the pH, EC, K, Na, and Ca were found between understory and the uncanopied areas in all soil depths. Levels of N, P, Mg, and organic matter were significantly higher in the understory of trees compared to the uncanopied adjacent areas. Organic matter was twice the amount in the upper 20 cm of soil layers in the understory of mesquite trees. Species richness did not differ between the understory and the uncanopied areas. Nevertheless, the density of ephemerals in the understory of mesquite trees was higher than the uncanopied areas by 18%. The Shannon-Weaver index of diversity was higher in the uncanopied areas compared to the understory. The study concluded that the canopy effects of mesquite trees on soil vary with depth. Nonetheless, the influence of mesquite on flora could be beneficial for annual understory plants but subject to many operating factors, including density and cover of mesquite trees.
Le fer à l'interface océan-atmosphère : Flux et processus de dissolution dans l'eau de mer.

L'etude des flux et du devenir du fer atmospherique dans l'eau de mer est essentielle pour estimer sa contribution au stock de fer dans l'ocean de surface et donc sa contribution dans les cycles biogeochimiques. Pour de larges zones oceaniques de l'hemisphere Sud, inexplorees en ce qui concerne les aerosols, ce travail montre que les apports de fer atmospherique sont lies a de tres faibles concentrations de particules d'origine lithogenique ayant voyage sur de tres longues distances. Les flux de fer vers l'ocean, determines au cours de ce travail, sont largement inferieurs (de 1 a 2 ordres de grandeur) aux estimations recentes par des modeles globaux de poussieres minerales, qui sont largement utilises dans les modeles biogeochimiques. En ce qui concerne le devenir du fer atmospherique dans l'eau de mer, ce travail propose de considerer le processus de dissolution comme la combinaison d'un processus rapide (considere instantane) et d'un processus lent (a l'echelle de plusieurs jours). Le processus instantane est controle par des parametres physico-chimiques des particules qui dependent a la fois de la nature (source) et de l'histoire (transport dans l'atmosphere des particules) des aerosols a l'interface ocean-atmosphere. Le processus « lent » depend de la quantite de ligands libres dans l'eau de mer et est proportionnel a la quantite de matiere organique dissoute. La dissolution du fer transporte par les particules atmospheriques est donc liee a la fois aux sources, au transport et a la nature de l'eau de mer ou elles se deposent, illustrant l'impossibilite de considerer une valeur unique de dissolution du fer atmospherique a l'echelle globale. Une parametrisation integrant ces differents forcages est proposee. Ce travail, en estimant a la fois les flux et la dissolution, montre que pour certaines zones oceaniques, la connaissance des flux presente une incertitude au moins aussi importante que celle de la dissolution.
Diet composition of an opportunistic predator from an upwelling area in the Southeastern Pacific

The aim of this study was to use scat analysis to analyse the dietary composition of the South American sea lion (SASL, Otaria byronia) over a short temporal scale and in different but closely located colonies in the Humboldt Current System of northern Chile. Scat samples were collected at Arica (18°340S), Iquique (20°480S) and Mejillones (23°040S) during the summer (January to March) and winter (July) of 2015. A total of 16 595 individual prey items from nine species were found in 194 of the 215 scat samples. In general, squat lobster (Pleuroncodes monodon) was the most important prey item for the sea lion diet, both by number and according to the index of relative importance (%IRI), followed by anchovy (Engraulis ringens), which was the most frequent prey item in the scats and the most important by weight. Patagonian squid (Loligo gahi) ranked third in importance in the sea lion diet. However, some spatiotemporal variations in the consumption of prey were found. Squat lobster was the most important prey for sea lions in Arica and Iquique, while anchovy was the dominant prey in Mejillones. Regarding seasonal variation, squat lobster was more important in winter than in summer in the three localities, while anchovy was also more important during winter, except in Mejillones where the levels of consumption of this prey were similar in both seasons. These results show that SASL adjust their dietary preferences, modifying the contribution of different prey both spatially and temporally. Spatiotemporal variations in the SASL diet can be explained by temporal changes in the distribution and abundance of their prey.
Measuring teacher beliefs about coding and computational thinking

Abstract This study sought to identify factors that affect teachers’ beliefs about teaching computing in their classrooms. By reviewing existing scales and research on computing, we created the Teacher Beliefs about Coding and Computational Thinking (TBaCCT) scale. Through confirmatory factor analysis and structural equation modeling we validated the scale with data from 245 elementary teachers from eight U.S. school districts who participated in computing teacher development and taught coding to elementary students over one school year. Teachers’ self-efficacy for coding and computational thinking increased significantly as they taught coding, while their teaching efficacy for computing increased the most. The resulting 33-item TBaCCT provides a validated scale that can be used to measure elementary teacher beliefs about computing education as they engage in teacher professional development.
The inverted U-shaped relationship between crowdfunding success and reward options and the moderating effect of price differentiation

PurposeThe paper is to explore crowdfunding success determinants from the reward menu design aspect, distinguishing from extant studies focusing on characteristics of project creators or crowdfunding projects and funding dynamics. Both the number of reward options and price differentiation of rewards are considered.Design/methodology/approachThe authors use the quadratic model to identify a curvilinear relationship between the number of reward options and crowdfunding success, by running regressions on data collected from one of the most influential reward-based crowdfunding platforms in China. In addition, they explore the moderating effect of price differentiation on the curvilinear relationship.FindingsThe authors find an inverted U-shape relationship between the number of reward options and the optimal number of options is around 10. In addition, they find that the curvilinear relationship is moderated by reward price differentiation.Practical implicationsThis paper has managerial implications for crowdfunding project creators and platform managers. To achieve better crowdfunding outcomes, a proper number of reward options with diversified reward prices should be provided.Originality/valueThe paper contributes to the literatures in antecedents of crowdfunding success from reward menu design aspect based on theories in investment and purchasing decision making. It is different from existing studies focusing on the characteristics of project creators and crowdfunding projects or funding dynamics. It also parallels retirement contribution plan design studies by exploring the reward menu design in the crowdfunding context.
Novel Endotherapy-Based Applications of Ozonated Water to Bobal Grapevines: Effect on Grape Quality

Ozonated water has recently been incorporated in the management of grapevine diseases, which in turn can alter the fruit quality. When wood-inhabiting pathogens are involved, trunk injection or “endotherapy” represents a promising application method. Thus, the present study aimed to evaluate the effect on grape quality of ozonated water applied to Vitis vinifera L. cv. Bobal grapevines through endotherapy (E) or its combination with spraying (E + S). Grape quality at harvest was evaluated through several enological and chromatic parameters, the phenolic maturity, the varietal aroma potential index (IPAv) and the phenolic and volatile composition. The E treatment improved the chromatic characteristics and favored the accumulation of phenolic compounds. Conversely, E + S had a detrimental effect on the color and phenolic content and, although their synthesis was enhanced, the extractability of anthocyanins was negatively affected. In terms of aroma, both treatments reduced the content of glycosylated precursors but increased certain free volatiles. The application of ozonated water to grapevines, even when injected into the trunk, results in changes in fruit quality and a possible impact on wine attributes. Our findings and those in the literature support that, with the appropriate dose, frequency and method of application, ozonated water could be used with a twofold objective: disease management and grape quality improvement.
Digital Models: Comparison of Scanning Angulations and Superimposition

Background: The aim of this study was to evaluate linear measurements in digital models, scanned at different angulations, in order to compare four methods of superimposing digital models. Methods: Dental models obtained from the database of the School of Health and Life Sciences of the Pontifical Catholic University of Rio Grande do Sul (PUCRS) were scanned three-dimensionally at different angulations (0°, 5°, 10° and 15° in relation to the occlusal plane) and divided in four groups. The sample size was calculated and 43 dental models were used in this study. Linear measurements were obtained to assess the central and lateral portions of the 3D models, so that any possible distortion would be detected. Additionally, the digital models were superimposed using four approaches based on anatomical references: Methods 1 (three central landmarks), 2 (three lateral landmarks), 3 (surface + single landmark) and 4 (surface + three landmarks). Intraclass correlation coefficient was applied to evaluate the intra-observer reliability. Kruskal-Wallis was calculated to compare the groups according to the angulation during scanning, and Kappa to evaluate the agreement between superimposition methods. Results: No differences were found in models scanned at different angulations. Better superimposition correlation was observed between methods 3 and 4 those used techniques based on palatal surface associated to anatomical landmarks to superimpose. Conclusions: Linear measurements and superimpositions were not affected by the different angulations of the models during the scanning process. The most reliable superimposition methods were the ones using surface and landmarks.
Factors Affecting Tourists’ Satisfaction: An Empirical Study on Rangamati as a Tourism Destination

This study aims to unearth the determining factors of tourist satisfaction in the Rangamati District and explores the degree of interdependence. Data were collected from 140 tourists who visited Rangamati from 2019 to onward were selected based on convenience using a survey questionnaire. The findings of the study revealed that two factors among five such as natural factors, cultural factors were found to have a positive influence in determining tourists’ satisfaction however the other three such as tourism product, destination support services, and financial factors do not influence tourists satisfaction. SPSS-2020 was used for analysis where descriptive statistics were used to express the demographic profile of the respondent and to rank the individual factors to find out which factors are most important for determining the dependent variable. Then, correlation analysis and multiple regression analysis has been used to judge the degree of relationship among independent and dependent variables. A set of recommendations was provided which will help to improve the performance of the agencies as well as tourist services and it will gradually bring satisfaction to the local and international tourists.
Investigating Bidirectional Links Between the Quality of Teacher-Child Relationships and Children's Interest and Pre-Academic Skills in Literacy and Math.

This study investigated bidirectional links between the quality of teacher-child relationships and children's interest and pre-academic skills in literacy and math. Furthermore, differences in the patterns of bidirectionality between boys and girls were explored. Participants were 461 Finnish kindergarteners (6-year-olds) and their teachers (n = 48). Teachers reported their closeness and conflict with each child twice throughout the kindergarten year. Children rated their interest in literacy and math, and were tested on their pre-academic skills. Cross-lagged path models indicated that teacher-perceived conflict predicted lower interest and pre-academic skills in both literacy and math. Results were similar for boys and girls. Implications for reducing conflictual patterns of relationships, together with promoting other factors, are discussed.
AdaBoost Semiparametric Model Averaging Prediction for Multiple Categories

Abstract Model average techniques are very useful for model-based prediction. However, most earlier works in this field focused on parametric models and continuous responses. In this article, we study varying coefficient multinomial logistic models and propose a semiparametric model averaging prediction (SMAP) approach for multi-category outcomes. The proposed procedure does not need any artificial specification of the index variable in the adopted varying coefficient sub-model structure to forecast the response. In particular, this new SMAP method is more flexible and robust against model misspecification. To improve the practical predictive performance, we combine SMAP with the AdaBoost algorithm to obtain more accurate estimations of class probabilities and model averaging weights. We compare our proposed methods with all existing model averaging approaches and a wide range of popular classification methods via extensive simulations. An automobile classification study is included to illustrate the merits of our methodology. Supplementary materials for this article are available online.