Miracle-dz/UniFAR-FTUs huggingface dataset:
Exploitation of Indigenous Wine Yeasts from Spontaneously Fermenting Grape must and Vineyard Soil in Beijing, China

The investigation of indigenous wine yeast can facilitate the production of distinctive Beijing wine by providing wineries with more choices in distinctive wine yeasts. Wine yeasts that were isolated from grape must during spontaneous fermentation and from vineyard soil were preliminarily classified by their colony morphologies when cultured on Wallerstein Laboratory Nutrient (WLN) medium and then were identified by 5.8S ITS sequence analysis. Four selected strains were involved in inoculated fermentation tests. The results showed that five yeast species were isolated from the grape must, and five non- Saccharomyces yeast species were found in vineyard soil. The colony morphology of Pichia occidentalis on the WLN medium was described herein for the first time. An effective way which could be used for isolate and select wine yeasts from soil samples on WLN medium was described. And one of the selected indigenous strains shared over 99% similarity on 5.8S ITS sequence with commercial wine yeast, which indicated that commercial yeast might have influenced the local yeast diversity. The two selected indigenous Saccharomyces cerevisiae strains, which showed good fermentation performances, could be applied in the local wine industry in the future. ABSTRACT
Designing an Interest-Based Integrated Curriculum Around Esports

A crisis of literacy has emerged among high school students in the United States. In order to encourage students’ engagement with literacy education, there is a need for an integrated curriculum of English Language Arts (ELA). An integrated language arts curriculum would allow students to learn literacy and reading skills while engaging with a motivating context. Meanwhile, esports has grown as a worldwide culture, expanding to more than just players and spectators to include a whole ecosystem of stakeholders. As esports grow in popularity and acceptance, educators have looked to connect the skills developed in esports with academic and career opportunities. We found esports to be a viable content area for the integrated curriculum because esports is favored among many students and involves reading activity as an essential part of participation.
What do the Australian public think of regulatory nutrition policies? A scoping review

Effective government policies are crucial to creating healthy food environments. However, changing public policy is a slow and challenging process involving many competing factors. One cited factor is public opinion towards a proposed policy. This study aimed to systematically explore public opinion on regulatory nutrition policy issues in Australia from 2009 to 2019, to determine whether low levels of public opinion corresponded with the low levels of regulatory policy action in this country. We found that there was varying levels of public support in Australia for public health nutrition action. Regulatory‐ and legislative‐based policies generally had moderate to high levels of support except for food and drink taxes, which had low to moderate support. Despite high levels of public support for certain policy initiatives, national public health nutrition policy in Australia has not evolved consistently with the level of public support nor the evidence base over the past decade indicating other more important factors at play in policymaking.
Information Asymmetry, Time until Deal Completion and Post-M&A Performance

This paper aims to show that information asymmetry plays a vital role in the post-M&A performance-time until deal completion nexus. The findings are that the due diligence hypothesis and the overdue hypothesis proposed and tested in Thompson and Kim (2020) are influenced by the information asymmetry of the target during the negotiation process. Thus, mergers that involve more opaque targets that take a shorter time to close perform better, whereas those that take too long to close experience poor post-M&A performance. Conversely, there is no such effect when the mergers involve targets that are transparent and not plagued with large information asymmetry problems. These results hold for the short-term supporting the evidence that information asymmetry problems are severe before the merger is consummated and become attenuated post-merger.
What Triggers Us to Be Involved in Martial Arts? Relationships between Motivations and Gender, Age and Training Experience

The study aims to recognize the motivations to engage in judo depending on gender, age and level of sports experience among nonelite judokas from the Greater Poland region because previous studies mostly concerned the motivations of top athletes. We supposed that there was a relationship between age, gender, level of sports experience and motivations in judo. During the diagnostic survey, judokas completed the Polish version of the Sport Motivation Scale. In order to determine the motivational profiles of judokas, cluster analysis was performed using the k-means method. The highest values were obtained for motivations related to the intrinsic motivation to experience stimulation and the intrinsic motivation to accomplish, while the lowest values were obtained for motivations related to amotivation and external regulation. The research results showed a relationship between experience in judo training and the motivations of judokas; however, the motivations of the judokas were not differentiated based on their gender or age. In our study, the intrinsic motivation to experience stimulation turned out to be more important for judokas participating in competitions, while recreational athletes more often indicated experiencing amotivation. The intrinsic motivation to accomplish and intrinsic motivation to know turned out to be more important for athletes in training for more than 10 years, while amotivation was more often indicated to be experienced by judokas practicing judo for less than 10 years. Respondents who reported high internal motivation values and had a motivational structure they shaped themselves had been training for longer—for more than 10 years. In our study, the three motivational groups of judokas were identified, and we found that judo experience differentiated belonging to groups. It is recommended to check other martial arts and check more variables in the future, e.g., marital status, which is a potentially important factor in the field of sport motivation.
Group testing as a strategy for COVID-19 epidemiological monitoring and community surveillance

We propose an analysis and applications of sample pooling to the epidemiologic monitoring of COVID-19. We first introduce a model of the RT-qPCR process used to test for the presence of virus in a sample and construct a statistical model for the viral load in a typical infected individual inspired by large-scale clinical datasets. We present an application of group testing for the prevention of epidemic outbreak in closed connected communities. We then propose a method for the measure of the prevalence in a population taking into account the increased number of false negatives associated with the group testing method.
An Affine-Based Algorithm for Registrating Non-rigid 3D Models

While exploiting isometric method to calculate the correspondence between two non-rigid 3D models, it is difficult to obtain the correct matching relations and tend to fall into local optimum by iterative optimization strategy when using the inappropriate initial spectral value. To address this issue, an affine-based algorithm for labeling non-rigid 3D model is focused on in this paper. First, the approximate rotation and translation parameters between different models are calculated and the model coordinate system is unified through SVD method with over 4 pairs of roughly matched points. Next, the far sampling point algorithm is chosen to obtain a fixed number of uniform discrete 3D points on the two meshes respectively, and then for each sampling point, their neighbor points and corresponding distances are solved by kNN algorithm, after that, the shortest distance between each sampling point pair is calculated via Dijkstra algorithm and is viewed as geodesic distance. Besides, the discrete MRF model is established to optimize the isometric error of different models. Experiment results on both standard datasets and real-life collected models show that the proposed method can avoid local optimum in the whole optimization process. But for the existing method based on isometric optimization, if the initialization is not good, the optimization procedure may negatively get in local optimum and cannot gain the correct model registration and mapping.
Promoting Students’ Well-Being by Developing Their Readiness for the Artificial Intelligence Age

This study developed and validated an instrument to measure students’ readiness to learn about artificial intelligence (AI). The designed survey questionnaire was administrated in a school district in Beijing after an AI course was developed and implemented. The collected data and analytical results provided insights regarding the self-reported perceptions of primary students’ AI readiness and enabled the identification of factors that may influence this parameter. The results indicated that AI literacy was not predictive of AI readiness. The influences of AI literacy were mediated by the students’ confidence and perception of AI relevance. The students’ AI readiness was not influenced by a reduction in their anxiety regarding AI and an enhancement in their AI literacy. Male students reported a higher confidence, relevance, and readiness for AI than female students did. The sentiments reflected by the open-ended responses of the students indicated that the students were generally excited to learn about AI and viewed AI as a powerful and useful technology. The student sentiments confirmed the quantitative findings. The validated survey can help teachers better understand and monitor students’ learning, as well as reflect on the design of the AI curriculum and the associated teaching effectiveness.
Histopathological Alterations In Organs of Nile Tilapia Fingerlings Exposed To Sub-Lethal Concentrations of Aqueous Crude Leaves Extract of Desert Date

Background: Histopathological changes have been w idely used as biom arkers in determ ining the effects of pollutants on fish. Leaves of Balanites aegyptiaca, a deep-rooted, evergreen or semi-deciduous, multibranched, spiny tree have been reported to have pesticidal, anaesthetic and ichthyotoxic effects. This study sought to find out the effect of sub-lethal concentrations (5.00, 11.00, 21.00, 43.00, and 86.00 mg/L) of B. aegyptiaca on histopathology of gills, kidney, and liver of mixed-sex Oreochromis niloticus fingerlings Methods: A total of 120 O. niloticus fingerlings (m ean w eight 23±0.03 g and m ean total length 12.50±0.39 cm) were exposed to aqueous crude leaves extract of B. aegyptiaca. The gills, kidney, and liver were excised and processed routinely for the elucidation of histopathological changes Results: Dose-dependent histopathological changes were observed in the three organs (gills, kidney and liver) of O. niloticus exposed to graded concentrations of B. aegyptiaca. Gills showed moderate to severe secondary lamellae fusion, desquamation, and primary lamellae congestion while the kidney displayed mild to severe renal tubular epithelial cell degeneration and necrosis as well as pigmentation of renal tissues. The liver showed varying degrees of histo-architectural alterations such as hepatocellular degeneration and necrosis, cellular infiltrations, kupffer cell proliferation, portal, and sinusoidal congestions Conclusion: Ow ing to these histological alterations in the gills, kidney, and liver observed in this study, prolonged exposure of fish to B. aegyptiaca should be discouraged to preserve fish diversity
The effect of urea on epigeic earthworm species (Eisenia foetida)

Long W, Ansari A, Seecharran D. 2017. The effect of urea on epigeic earthworm species (Eisenia foetida). Cell Biol Dev 1: 46-50. The use of chemical fertilizers in intensive agriculture has no doubt increased crop production but it has resulted in adverse effect on soil properties over a long period of time. The effects are clearly seen in the soil environment including the soil organisms living in that ecosystem. This study was conducted to determine effects of Urea on epigeic earthworm species (Eisenia foetida) in clay soil. A total of five doses of Urea were used i.e 50 mg/kg, 100 mg/kg, 150 mg/kg, 200 mg/kg and 250mg. They were labelled as T1, T2, T3, T4, and T5, respectively. A control group was also set up and the treatment groups were replicated three times. The results indicated that the addition of urea affected the soil chemical properties in treatments inoculated with earthworms (Eisenia foetida). The adult earthworm population was 70% in control when compared to different treatment dosage of Urea 50 mg/kg (T1)-85%, 100 mg/kg (T2)-66.67%, 150 mg/kg (T3)- 68.34%, 200 mg/kg (T4)- 86.67% and 250 mg/kg (T5)- 51.67%. The percentage mortality minimum in treatment T4 and T1 whereas it was maximum in treatment T5 (48%). 250 mg/kg was the most toxic dose of Urea in the soil inoculated with earthworms. The results were significant at p=0.05.
Response of biogenic zinc oxide nanoparticles against periimplantitis triggering non periodontal pathogen

Biogenic zinc oxide nanoparticles (BZnONPs) as a nano medicine attain high importance in the treatment of Peri Implantitis (PI). Present study was aimed to biosynthesize, optimize, characterize and evaluate the response of BZnONPs against PI triggering non periodontal pathogen. The BZnONPs synthesis, characterization, optimization and stability were based on UV-Visible, FTIR, XRD, FESEM, and EDX data. The BZnONPs were tested against S. aureus. Treatment of zinc acetate with Dimocarpus longan leaves extract resulted in formation of BZnONPs, which exhibited the absorbance signal between 350- 359 nm. Optimization study established 0.05 M zinc acetate, 6 ml of DLL aqueous extract, pH 12, and 2 h stirring time as parametric requirements for BZnONPs synthesis. Stability study of BZnONPs exhibited absorbance at 340 nm. The BZnONPs were characterized based on broad and shifted FT-IR bands, XRD signals (at 2θ values of 31.70◦ , 34.33◦ , 36.19◦ , 47.45◦ , 56.52◦ , 62.78◦ , 67.88◦ and 72.45◦ ), size range from 42.07-61.33 nm in FESEM, and elemental zinc 74.22 % in EDX spectrum. The BZnONPs exhibited high inhibitory response towards S. aureus. Present study establish that BZnONPs synthesis using Dimocarpus longan leaves aqueous extract is a facile method and reports that BZnONPs could be potential remedy for PI.
Developmental speed affects ecological stoichiometry and adult fat reserves in Drosophila melanogaster

The elemental composition of organisms belongs to a suite of functional traits that change during development in response to environmental conditions. However, associations between adaptive variations in developmental speed and elemental body composition are not well understood. We compared body mass, elemental body composition, food uptake and fat metabolism of Drosophila melanogaster male fruit flies in relation to their larval development speed. Slowly developing flies had higher body carbon concentration than rapidly developing and intermediate flies. Rapidly developing flies had the highest body nitrogen concentration, while slowly developing flies had higher body nitrogen levels than flies with intermediate speed of development. The carbon-to-nitrogen ratio was therefore lower in rapidly developing flies than in slow and intermediate flies. We also had a group of flies grown individually and their body mass and elemental body composition were similar to those of rapidly developing individuals grown in groups. This suggests that rapid growth is not suppressed by stress. Feeding rates were lowest in the slowly developing flies. The amount of triacylglycerides was highest in the flies with intermediate developmental speed which optimizes development under many climatic conditions. Although low food intake slows down developmental speed and the accumulation of body fat reserves in slowly developing flies, their phenotype conceivably facilitates survival under higher stochasticity of their environments. Rapidly developing flies grew with less emphasis on storage build-up. Overall, this study shoes that a combination of bet-hedging, adaptive tracking and developmental plasticity enables fruit flies to respond adaptively to environmental uncertainty.
How partners of pregnant women use their social networks when preparing for childbirth and parenthood: A qualitative study

Social contextual circumstances have an influence on parental transition, and social support has been shown to facilitate the transition to parenthood, among other states. Further knowledge is, however, needed to explore how partners of pregnant women use their social networks during pregnancy. Therefore, the aim of this study was to explore how partners of pregnant women use their social networks when preparing for childbirth and parenting. Within this study, a social network is defined as social connections such as family, friends and significant others. In total, 14 partners (expectant fathers and co-mothers) were interviewed. Data were analysed using qualitative content analysis. EQUATOR Network guidelines and the COREQ checklist were applied. The analysis resulted in one theme of meaning: Partners use their social networks to receive social support, which facilitates understanding about how to prepare for childbirth and parenthood, which was described through three sub-themes. The results highlight the importance of social networks for partners when preparing for childbirth and parenthood. Professionals should aim to strengthen and extend partners’ social networks and access to social support. This could be done not only to support partners to attend parental classes, but also to participate socially as well as engage with other expectant parents within the classes.
The influence of the community climate on users’ knowledge-sharing intention: the social cognitive theory perspective

ABSTRACT The purpose of this paper is to investigate the underlying mechanism of the community climate on knowledge-sharing intention in virtual communities. Based on social cognitive theory, a theoretical model was developed and empirically tested using a web-based survey of 525 members from an online question and answer (Q&A) community in China. Results showed that knowledge-sharing self-efficacy and outcome expectation played a chain mediation role in the relationship between the community climate and knowledge-sharing intention. This study is among the first to examine whether and how community climate influences knowledge sharing. Our research findings unpack the mechanism of the community climate on knowledge-sharing intention, and provide practical insights on how to use community climate to facilitate users to share knowledge in online Q&A communities.
Climate and soil micro‐organisms drive soil phosphorus fractions in coastal dune systems

This project was financed by FEDER/Ministerio de Ciencia, Innovacion y Universidades-Agencia Estatal de Investigacion/Proyect (CGL2017-88124-R), European Research Council (ERC Grant Agreement 647038 [BIODESERT]) and the Fundaca o para Ciencia e Tecnologia (IF/00950/2014) and the FEDER, within the PT2020 Partnership Agreement and COMPETE 2020 (UID/BIA/04004/2013). F.T. M. acknowledges support from Generalitat Valenciana (CIDEGENT/2018/041). B.K. S. acknowledge research support on microbes and ecosystem functions from the Australian Research Council (DP170104634) and Research Award from the Humboldt Foundation.
Imagine All the People: Negotiating and Mediating Moral Concern through Intergroup Encounters

Intergroup encounters can often become difficult conversations in which power relations and disagreements are perpetuated and re-enacted through the interaction and communication between the participating groups. Thus, especially in asymmetric settings, moral inclusion and moral responsibility toward members of other groups are crucial to dialogue, conflict resolution, and reconciliation. Yet it is exactly the circumstances of asymmetry—involving threat and dehumanization—that pose barriers to the elicitation and sustaining of moral concern. Drawing on and integrating two separate research traditions—the psychology of intergroup conflict, dialogue and peace building, and communication research on “mediated suffering”—this article discusses perceptions, representations, and emotions that underlie recognition of and empathy toward the suffering of others with the aim of increasing our understanding of when and how we can be brought—through mediated and unmediated dialogues and encounters—to care about the suffering of others.
CORROSION PROPERTIES OF Ti-B4C/CNF FUNCTIONALLY GRADED MATERIALS

This study aims to investigate corrosion properties of Ti-B 4 C/CNF functional graded materials (FGMs). FGMs are produced in three layers by traditional cold pressing and sintering method. While B 4 C was incorporated into the Ti matrix at 5%, 10% and 15% percent, the CNF was only 0.5% by volume. Corrosion properties of FGMs are determined by potentiodynamic method. 3 M HCl was preferred as the corrosion solution. Corrosion rates were calculated from the Tafel curve and the corrosion surface was examined by using SEM-EDS. The results show that the corrosion process of composite material in 3 M HCl showed different corrosion resistance, in which corrosion rate showed the evolution trend of initial increase and subsequent decrease, while amount of reinforcement changed. While the best corrosion resistance among the FGMs was determined in the sample with 5%B 4 C additive, the worst corrosion resistance was determined with 15%B 4 C+0.5% CNF additive.
Pozostałości środków ochrony roślin w płodach rolnych wyprodukowanych w północno-wschodniej Polsce (2013)

Summary This paper presents results of official control of pesticide residues in the crops from the north-eastern Poland. In total 260 samples were analysed in the year 2013 (45% fruit, 44.2% vegetables and 10.8% cereals and oilseeds). Among 188 pesticides, 36 active substances were detected, including 57.3% fungicides. Pesticide residues most often were determined in the samples of fruit (74.4%), mainly in currants (28.2%) and apples (25.6%). Pesticide residues below the maximum residue levels (MRLs), contained 45.4% (118) samples, while 5.4% (14) of tested sample exceeding MRLs. The use of non-approved pesticides was stated in 5% of tested samples. In 2013, 17 reports within the Rapid Alert System for Food and Feed (RASFF) were issued.
Highly accurate classification of chest radiographic reports using a deep learning natural language model pre-trained on 3.8 million text reports

MOTIVATION The development of deep, bidirectional transformers such as BERT (Bidirectional Encoder Representations from Transformers) led to an outperformance of several Natural Language Processing (NLP) benchmarks. Especially in radiology, large amounts of free-text data are generated in the daily clinical workflow. These report texts could be of particular use for the generation of labels in machine learning, especially for image classification. However, as report text are mostly unstructured, advanced NLP methods are needed for text classification. While neural networks can be used for this purpose, they must first be trained on large amounts of manually labelled data in order to achieve good results. In contrast, BERT models can be pre-trained on unlabelledunlabeled data and then only require fine tuning on a small amount of manually labelled data to achieve even better results. RESULTS By using BERT to identify the most important findings in intensive care chest x-ray reports, we achieve areas under the receiver operation characteristics curve of 0.98 for congestion, 0.97 for effusion, 0.97 for consolidation and 0.99 for pneumothorax, surpassing the accuracy of previous approaches with comparatively little annotation effort. Our approach could help to improve information extraction from free-text medical reports. AVAILABILITY