Miracle-dz/UniFAR-FTUs huggingface dataset:
An Examination and Extension of the Theory of Gamified Learning: The Moderating Role of Goal Orientation

Background. Landers (2014) proposed the theory of gamified learning to provide a theoretical framework for gamification research. Unfortunately, little empirical work has tested this theory. Thus, the current study aimed to close this gap by examining the theory’s mediational pathway as well as exploring the moderating role of goal orientation on the pathway from Assessment game attributes (i.e., assessment and progress) to self-efficacy to learning outcomes. Method. A gamified resume course was developed on a gamification software platform. Participants (N = 185) were recruited through Amazon Mechanical Turk and randomly assigned to one of four conditions (i.e., badges, progress bar, badges and progress bar, and control). Participants responded to a pre-course questionnaire containing demographics and the goal orientation measure, were directed to the course website to complete the gamified resume course and knowledge measure, and were finally re-directed to a post-course questionnaire collecting job search self-efficacy. Results. There was little support for the hypothesized moderated mediation model. However, an interesting outcome of this study was the significant conditional indirect effect of the badge condition for average learning and high avoid performance goal orientations, suggesting badges can improve self-efficacy in gamified learning. Discussion and Conclusion. A key takeaway of this study was preliminary evidence suggesting badges may help mitigate the negative effects of avoid performance goal orientation on self-efficacy. This finding demonstrates how individual differences play a role in learners’ responses to game attributes in a gamified learning experience. Practical implications, limitations, and directions for future research are discussed.
Impact of a New Sea Ice Thermodynamic Formulation in the CESM2 Sea Ice Component

The sea ice component of the Community Earth System Model version 2 (CESM2) contains new “mushy‐layer” physics that simulates prognostic salinity in the sea ice, with consequent modifications to sea ice thermodynamics and the treatment of melt ponds. The changes to the sea ice model and their influence on coupled model simulations are described here. Two simulations were performed to assess the changes in the vertical thermodynamics formulation with prognostic salinity compared to a constant salinity profile. Inclusion of the mushy layer thermodynamics of Turner et al. (2013, https://doi.org/10.1002/jgrc.20171) in a fully coupled Earth system model produces thicker and more extensive sea ice in the Arctic, with relatively unchanged sea ice in the Antarctic compared to simulations using a constant salinity profile. While this is consistent with the findings of uncoupled ice‐ocean model studies, the role of the frazil and congelation growth is more important in fully coupled simulations. Melt pond drainage is also an important contribution to simulated ice thickness differences as also found in the uncoupled simulations of Turner and Hunke (2015; https://doi.org/10.1002/2014JC010358). However, it is an interaction of the ponds and the snow fraction that impacts the surface albedo and hence the top melt. The changes in the thermodynamics and resulting ice state modify the ice‐ocean‐atmosphere fluxes with impacts on the atmosphere and ocean states, particularly temperature.
Prognostic significance of controlling nutritional status score-based nomogram for hepatocellular carcinoma within Milan criteria after radiofrequency ablation.

Background Radiofrequency ablation (RFA) is a curative therapy for hepatocellular carcinoma (HCC) within Milan criteria. This study was conducted to evaluate the association between controlling nutritional status (CONUT) score and oncological outcomes in HCC patients within Milan criteria after RFA. Nomograms were constructed for the prediction of prognosis. Methods The study included 403 HCC patients within Milan criteria who underwent RFA at National Cancer Center and the First Hospital of Shanxi Medical University from January 2010 to December 2014. Oncological outcomes included disease-free survival (DFS) and overall survival (OS). The clinical variables were assessed by univariate and multivariate Cox regression analyses. C-index, time-dependent receiver operating characteristic (t-ROC) curve (t-AUC) and calibration plots were used to evaluate discrimination and calibration of the nomograms. Results Patients were divided into CONUT ≤4 and ≥5 groups. The common prognostic factors affecting DFS and OS were number of lesions, tumor differentiation, and CONUT score. Age and total bilirubin (TBIL) were prognostic factors for OS only. Both DFS and OS rates in CONUT ≤4 group were significantly higher than those in CONUT ≥5 group (P=0.033, P<0.001). Two well-discriminated and calibrated nomograms were constructed to predict the probability of 1-, 2-, and 3-year DFS and 1-, 2-, 3-, 5-year OS with C-indexes of 0.798 and 0.757, respectively. Conclusions CONUT score is an independent prognostic factor for HCC after RFA treatment and a reliable indicator for nutritional interventions. Higher CONUT scores were associated with poor oncological outcomes. Nomograms based on CONUT score could efficiently predict DFS and OS for HCC patients within Milan criteria after RFA.
Structural implications of traditional agricultural landscapes on the functional diversity of birds near the Korean Demilitarized Zone

Abstract Bird assemblages are sensitive to changes in landscape composition and the environment, such as those that result from drought. In this study, the relationship between landscape composition and avian functional diversity in traditional agricultural ecosystems in the Civilian Control Zone (CCZ) of Korea was examined. In addition, the resilience of biodiversity to changes in landscape elements resulting from drought conditions was investigated. The traditional agricultural landscape (TAL) of the sites studied was divided into three types: TAL 1 had a high proportion of rice paddies, TAL 2 included large forest areas, and TAL 3 represented areas with drylands. Of these, TAL 1 showed the highest species richness and functional richness, but these measures were most vulnerable to drought. Meanwhile, TAL 2 showed that the bird communities were more tolerant under drought event. This study shows that to conserve and enhance the diversity of birds in traditional agricultural landscapes of Northeast Asia, active management of forest areas is needed to protect bird populations. In addition, commercial pressures to develop this area will require urgent biodiversity conservation plans to protect the unique biodiversity of the Korean CCZ. This study thus provides landscape management guidance for conservation planning.
Rootstock Influence on Growth and Mineral Content of Citrus limon and Citrus sinensis cv. Valencia Inoculated with Candidatus Liberibacter Asiaticus

Huanglongbing (HLB) reduces the growth and development of citrus and induces changes in secondary metabolites such as flavonoids, limonoids, and polyamines. Likewise, infected plants have a deficient absorption of nutrients such as zinc, potassium, manganese, and copper. Therefore, the objective of this study was to evaluate the influence of different rootstocks on morphology and mineral changes of Citrus limon and Citrus sinensis cv. Valencia plants inoculated with Candidatus Liberibacter asiaticus. In a greenhouse of the Experimental Station-Autonomous University of Tamaulipas, the Candidatus Liberibacter asiaticus bacteria were inoculated to Citrus limon plants (growing on Citrus volkameriana, Citrus macrophylla, and Citrus aurantium rootstocks) and Citrus sinensis cv. Valencia (growing on Citrus volkameriana and Citrus aurantium rootstocks). The experiment was established under a completely randomized design with 45 graft/rootstock repetitions. In each graft/rootstock combination, the plant height and stem diameter were determined using a tape measurer and a Vernier, respectively. In addition, the nutrient content of foliar samples was determined by an X-ray fluorescence spectrometer. In both citrus species, the C. aurantium rootstock promoted a higher concentration of the bacteria. On the other hand, the rootstock that showed the best agronomical results after inoculation with the bacteria was C. volkameriana, presenting the least variation in mineral content and conferring greater plant height (15%) and stem diameter (23%). In contrast, the presence of Ca. Liberibacter asiaticus decreased S content and increased Cu concentration in C. lemon plants. Similarly, plants infected with C. sinensis presented higher Fe content. Finally, in both species, no significant differences were observed for Mn, P, and Zn concentration.
Feasibility and acceptability of an online acceptance and commitment therapy group for parents caring for a child with cerebral palsy

ABSTRACT This study explored the feasibility and acceptability of a videoconferencing group psychotherapy intervention for parents of children living with cerebral palsy. A six-session Acceptance and Commitment Therapy (ACT) intervention called Take a Breath was provided. Participants were 26 parents of children aged 12 months to nine years, with severe cerebral palsy. Parents responded to questionnaires at three time-points; baseline, pre-intervention, and post-intervention. Qualitative responses were recorded in response to a structured item asking about benefits of participating in the intervention. Of those enrolled, 90% of parents attended the minimum required sessions and 35% attended all six sessions. Quantitative results revealed significant reductions in guilt and worry, and increased mindfulness, which echoed parents’ qualitative responses. The pilot findings suggest the Take a Breath intervention is a feasible and acceptable approach to providing mental health services to parents who face significant daily challenges and barriers to engaging support. Larger scale studies are warranted.
With no gap to mind: a shallow genealogy within the world's most widespread small pelagic fish

Species-delimitation studies across wide geographic ranges often reveal insights that ultimately improve our understanding of biogeographic and evolutionary processes. Here we investigated species delimitation and the global coastal pelagic population structures of the marine sardine species from the economically important subgenus Sardinella (Clupeidae). The main purpose of this study was to relate morphological and genetic discontinuities to biogeography, in a taxonomic and systematic context. Morphological examinations have first reduced the currently recognized five species of the subgenus to two distinct morphospecies with parapatric relationship. Genetic analyses further showed a remarkable shallow genealogy across a global scale, yet to be encountered among small pelagic fishes. Additional three species-delimitation analyses have failed to delimit the five putative species, indicating the possible existence of only a single cosmopolitan species with two ecophenotypic variations, thus entitling Sardinella aurita as the world's most widespread small pelagic fish. Subsequent population-structure investigations revealed distinct geographical intraspecific sub-divisions, flagging the West Pacific Ocean through gene-flow computations as the probable source of future speciation for the subgenus. Considering its utmost importance to fisheries, this finding of a remarkable global genetic homogeneity should attract future attention among population geneticists and fishery researchers.
Observed snow depth trends in the European Alps: 1971 to 2019

Abstract. The European Alps stretch over a range of climate zones which affect the spatial distribution of snow. Previous analyses of station observations of snow were confined to regional analyses. Here, we present an Alpine-wide analysis of snow depth from six Alpine countries – Austria, France, Germany, Italy, Slovenia, and Switzerland – including altogether more than 2000 stations of which more than 800 were used for the trend assessment. Using a principal component analysis and k-means clustering, we identified five main modes of variability and five regions which match the climatic forcing zones: north and high Alpine, north-east, north-west, south-east, and south and high Alpine. Linear trends of monthly mean snow depth between 1971 and 2019 showed decreases in snow depth for most stations from November to May. The average trend among all stations for seasonal (November to May) mean snow depth was −8.4 % per decade, for seasonal maximum snow depth −5.6 % per decade, and for seasonal snow cover duration −5.6 % per decade. Stronger and more significant trends were observed for periods and elevations where the transition from snow to snow-free occurs, which is consistent with an enhanced albedo feedback. Additionally, regional trends differed substantially at the same elevation, which challenges the notion of generalizing results from one region to another or to the whole Alps. This study presents an analysis of station snow depth series with the most comprehensive spatial coverage in the European Alps to date.
Workforce reconfiguration strategies in manufacturing systems: a state of the art

ABSTRACT This paper provides a literature review and an analysis of the studies related to workforce reconfiguration strategies as a part of workforce planning for various production environments. The survey demonstrates that these strategies play a crucial role in the resilience and flexibility of manufacturing systems since they help industrial companies to quickly adapt to frequent changes in demand both in terms of volume and product mix. Five strategies are considered: the use of utility, temporary, walking, cross-trained workers, and bucket brigades. They are analysed in the context of mixed and multi-model manual assembly lines, dedicated, cellular, flexible, and reconfigurable manufacturing systems. The review shows that most of the researches on these reconfiguration strategies focus on multi- or mixed-model assembly lines. At the same time, few studies consider workers team reconfiguration in flexible and reconfigurable manufacturing systems. Finally, this paper reveals several promising research directions in workforce reconfiguration planning, namely, the use of both machine and workforce reconfigurations, consideration of the ergonomic aspects, the combination of multiple workforce reconfiguration strategies, the study of workforce reconfiguration in human-robot collaborative systems, and the use of new technologies in human-machine industrial environments.
Shared Genes but Not Shared Genetic Variation: Legume Colonization by Two Belowground Symbionts*

Mutualisms between hosts and multiple symbionts can generate diffuse coevolution if genetic covariance exists between host traits governing multiple interactions. Rhizobia and arbuscular mycorrhizal fungi (AMF) both interact with legume hosts, providing complementary nutrients (nitrogen and phosphorous). Molecular approaches have revealed extensive pleiotropy in the plant genetic pathways required for colonization of both symbionts; however, a quantitative genetic approach is required to understand whether this pleiotropy shapes evolution in natural populations. In a greenhouse experiment with 75 families of Chamaecrista fasciculata grown in two phosphorous (P) environments (fertilized and unfertilized), positive covariance between nodule number and plant aboveground biomass within and across environments indicates selection for increased colonization by rhizobia. Genetic variation for host restriction of AMF colonization in response to P suggests that this aspect of context dependency can evolve in host populations and that selection in this mutualism varies with P. Despite the existence of gene-level pleiotropy during rhizobium and AMF infection, we find no evidence for genetic covariance in symbiont colonization or its response to P—suggesting that genetic variation at other, nonpleiotropic loci governs variation in colonization and thus that these traits likely evolve independently in plant populations.
Practical Reproducibility in Geography and Geosciences

Reproducible research is often perceived as a technological challenge, but it is rooted in the challenge to improve scholarly communication in an age of digitization. When computers become involved and researchers want to allow other scientists to inspect, understand, evaluate, and build on their work, they need to create a research compendium that includes the code, data, computing environment, and script-based workflows used. Here, we present the state of the art for approaches to reach this degree of computational reproducibility, addressing literate programming and containerization while paying attention to working with geospatial data (digital maps, geographic information systems). We argue that all researchers working with computers should understand these technologies to control their computing environment, and we present the benefits of reproducible workflows in practice. Example research compendia illustrate the presented concepts and are the basis for challenges specific to geography and geosciences. Based on existing surveys and best practices from different scientific domains, we conclude that researchers today can overcome many barriers and achieve a very high degree of reproducibility. If the geography and geosciences communities adopt reproducibility and the underlying technologies in practice and in policies, they can transform the way researchers conduct and communicate their work toward increased transparency, understandability, openness, trust, productivity, and innovation.
An Introduction to the E3SM Special Collection: Goals, Science Drivers, Development, and Analysis

Supported by the U.S. Department of Energy (DOE), the Energy Exascale Earth System Model (E3SM) project aims to optimize the use of DOE resources to address the grand challenge of actionable predictions of Earth system variability and change. This requires sustained advancement to (1) integrate model development with leading‐edge computational advances toward ultra‐high‐resolution modeling; (2) represent the coupled human‐Earth system to address energy sector vulnerability to variability and change; and (3) address uncertainty in model simulations and projections. Scientific development of the E3SM modeling system is driven by the simulation requirements in three overarching science areas centering on understanding the Earth's water cycle, biogeochemistry, and cryosphere systems and their future changes. This paper serves as an introduction to the E3SM special collection, which includes 50 papers published in several AGU journals. It provides an overview of the E3SM project, including its goals and science drivers. It also provides a brief history of the development of E3SM version 1 and highlights some key findings from papers included in the special collection.
Adherence of Streptococcus pneumoniae and expression analysis of neuraminidase gene (NanA and NanB) after interaction of A549 human lung epithelial cells with pneumococcal strains of various serotypes

Aims: Streptococcus pneumoniae is the most common bacterial respiratory pathogen that can lead to invasive diseases such as pneumonia, bacteremia, and meningitis. The interaction of S. pneumoniae with host respiratory epithelial cells is crucial in the colonization of human respiratory tract and involve in the virulence. The aim of the study is to investigate the adherence of S. pneumoniae and the effect of serotypic variation on neuraminidase genes (NanA and NanB) after interaction of A549 human lung epithelial cells with S. pneumoniae serotypes. Methodology and results: Six different serotypes of S. pneumoniae were used (1, 3, 5, 19F, 23F, and 14). A549 human lung epithelial cells were inoculated with pneumococcal strains of different serotype for 3 hours. The number of adherent bacteria was determined by serial dilution followed by spread plate technique on tryptic soy agar supplemented with 5% sheep blood. Bacterial RNA was harvested from the infected A549 cells. The differential expression level of neuraminidases was observed by quantitative real-time PCR (qRT-PCR). Based on bacterial adherence assay, serotype 14 showed highest adherence, meanwhile, serotype 23F showed lowest adherence. This suggests that serotype 14 has a better affinity to adhere to A549 cells as compared to serotype 23F. Higher NanA gene expression was observed in serotype 5, 23F and 19F, while lower expression in serotype 14. In contrast, NanB gene shows low-level expression in serotype 23F and 19F, while higher expression in serotype 14. This postulates that NanA and NanB gene may have different functions in the pathogenesis of S. pneumoniae. Conclusion, significance and impact of study: Our finding on differential expression of neuraminidase gene of S. pneumoniae of various serotypes on A549 cells might give a better understanding of host pathogen interaction between bacteria serotypes and host cell.
CABra: a novel large-sample dataset for Brazilian catchments

Abstract. In this paper, we present the Catchments Attributes for Brazil (CABra), which is a large-sample dataset for Brazilian catchments that includes long-term data (30 years) for 735 catchments in eight main catchment attribute classes (climate, streamflow, groundwater, geology, soil, topography, land cover, and hydrologic disturbance). We have collected and synthesized data from multiple sources (ground stations, remote sensing, and gridded datasets). To prepare the dataset, we delineated all the catchments using the Multi-Error-Removed Improved-Terrain Digital Elevation Model (MERIT DEM) and the coordinates of the streamflow stations provided by the Brazilian Water Agency, where only the stations with 30 years (1980–2010) of data and less than 10 % of missing records were included. Catchment areas range from 9 to 4 800 000 km2, and the mean daily streamflow varies from 0.02 to 9 mm d−1. Several signatures and indices were calculated based on the climate and streamflow data. Additionally, our dataset includes boundary shapefiles, geographic coordinates, and drainage area for each catchment, aside from more than 100 attributes within the attribute classes. The collection and processing methods are discussed, along with the limitations for each of our multiple data sources. CABra intends to improve the hydrology-related data collection in Brazil and pave the way for a better understanding of different hydrologic drivers related to climate, landscape, and hydrology, which is particularly important in Brazil, having continental-scale river basins and widely heterogeneous landscape characteristics. In addition to benefitting catchment hydrology investigations, CABra will expand the exploration of novel hydrologic hypotheses and thereby advance our understanding of Brazilian catchments' behavior. The dataset is freely available at https://doi.org/10.5281/zenodo.4070146 and https://thecabradataset.shinyapps. io/CABra/ (last access: 7 June 2021).