Miracle-dz/UniFAR-FTUs huggingface dataset:
Juice processing potential of different grape cultivars under conditions in southern Brazil

The objective of this study was to evaluate the juice quality of 11 grape cultivars over three productive cycles, aiming to identify which cultivars are indicated to complement the varietal matrix and allow the extension of the harvest period in the region of Vale do Rio do Peixe - SC. The grapes used to elaborate the juices were: BRS Rúbea (RUB), BRS Cora (COR); BRS Violet (VIO); BRS Carmen (CAR), BRS Magna (MAG), Bordô (BOR), Isabel (ISA), Isabel Precoce (IP), Concord (CON), Concord Clone 30 (C30) and SCS 421 Paulina (SCSP), produced in the EPAGRI experimental station vineyard, in Videira-SC. The physical-chemical variables analyzed showed statistically significant differences for the different cultivars. From the analysis of main components performed, it was possible to observe the noticeable differences between the levels of this factor and the correlations between the parameters. ISA and IP showed lower levels of anthocyanins and color, differing from VIO and MAG. CON and C30 stood out for their high acidity and low soluble solids content. BOR, SCSP and RUB presented juices with intense coloring, high content of bioactive compounds, nevertheless they presented lower levels of soluble solids and a higher acidity, while COR presented slightly higher contents for total soluble solids. The cultivars that brought together the greatest number of favorable characteristics (physical-chemical, sensory and extension of the harvest dates) for the juice elaboration in the studied region, proving favorable to complement the productive matrix composed of ISA and BOR, were VIO, MAG, IP, COR and CAR.
THE BRAZILIAN INVESTMENT CYCLE: FINANCIAL FRAGILITY OF THE INDUSTRIAL SECTOR

The 2008 international financial crisis hit the Brazilian economy in the ascending phase of an investment cycle. With a focus on industrial firms and based on Minsky’s definition of gross profit, we present arguments to explain how financial fragility of industrial firms has increased as the macroeconomic context deteriorated in the 2010s. The econometric exercise shows that the financial fragility of industrial firms can be explained by both macroeconomic variables, such as the evolution of credit to investment and interest rate, and sectoral variables, such as the industrial investment, the wage share and the composition of the receipts. EL CICLO DE INVERSION BRASILENO: FRAGILIDAD FINANCIERA DEL SECTOR INDUSTRIAL RESUMEN La crisis financiera internacional de 2008 golpeo a la economia brasilena en la fase ascendente de un ciclo de inversion. Con un enfoque en las empresas industriales y con base en la definicion de ganancia bruta de Minsky, presentamos argumentos para explicar como la fragilidad financiera de las empresas industriales ha aumentado a medida que el contexto macroeconomico se deterioro en la decada de 2010. El ejercicio econometrico muestra que la fragilidad financiera de las empresas industriales se puede explicar tanto por variables macroeconomicas, como la evolucion del credito a la inversion y tasa de interes, como por variables sectoriales, como la inversion industrial, la participacion salarial y la composicion de los ingresos.
Finding Location Visiting Preference from Personal Features with Ensemble Machine Learning Techniques and Hyperparameter Optimization

For the question regarding the relationship between personal factors and location selection, many researches support the effect of personal features for personal location favorite. However, it is also found that not all of personal factors are effective for location selection. In this research, only distinguished personal features excluding meaningless features are used in order to predict visiting ratio of specific location categories by using three different machine learning techniques: Random Forest, XGBoost, and Stacking. Through our research, the accuracy of prediction of visiting ratio to a specific location regarding personal features are analyzed. Personal features and visited location data had been collected by tens of volunteers for this research. Different machine learning methods showed very similar tendency in prediction accuracy. As well, precision of prediction is improved by application of hyperparameter optimization which is a part of AutoML. Applications such as location based service can utilize our result in a way of location recommendation and so on.
Ischemic priapism due to coagulopathy of severe COVID-19 infection

Initially thought to be a primarily respiratory disease process, the hypercoagulable state associated with COVID-19 has been associated with myriad clinical sequelae. We report a case of stuttering ischemic priapism associated with COVID-19, and describe a management approach to achieve detumescence in patients undergoing ventilatory proning limiting penile access. Level of evidence: Not applicable for this single center case report.
Android-Based Media Development in Mathematics Lessons

This study aims to develop Android-based media for learning the orm applications by developing designs to attract students to learn independently. The application used in this study is the Smart Apps Creator (SAC). This media development uses the research and development (R&D) method according to Sugiyono by using the Potential and Problem steps, Gathering Information, Product Design, Design Validation, Design Improvement, Product Testing, Product Revision, and Usage Trials. The validation results by the media expert were 0.84 with the criteria "Very Appropriate. " The validation results by the material experts were 0.80 with the criteria "Very Suitable. " Based on the results of expert validation, the application is declared valid and feasible to be tested on a limited and broad basis. Based on the limited trial results and broadly obtained from the results of the questionnaire for each item number> 50%. To sum up, that this android-based mathematics application media is suitable for independent learning wherever and whenever
Fiscal space and the procyclicality of fiscal policy: The case for making hay while the sun shines

Utilizing data from 133 countries over the period 1950–2014, we identify fiscal space as a key factor underlying the cyclicality of fiscal policies. We find that less fiscal space induces greater fiscal procyclicality and show that this relationship is nonlinear;countries in the bottom tail of the fiscal space distribution need to make significant improvements before they can perform countercyclical policy. Given the increasingly dominant role of fiscal action in downturns, as is highlighted during the Covid‐19 crisis, these findings clearly indicate the importance of building fiscal space in good times to provide capacity for countercyclical policy in bad times. [ABSTRACT FROM AUTHOR] Copyright of Economic Inquiry is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Modelling Morphological Changes and Migration of Large Sand Waves in a Very Energetic Tidal Environment: Banks Strait, Australia

Banks Strait, Tasmania, Australia, has been identified as a potential site for the deployment of tidal turbines. In this study, the characterization of sediment transport and large sand waves for this site is performed. Observations of bed level change collected from surveys in 2018 showed a migration of large sand waves over a period of nine months. Migration rates in an excess of one hundred meters for nine months were found, which are large compared to the rate reported at other coastal sites, by several meters per year. A validated hydrodynamic model is coupled with a morphodynamic model to perform sensitivity tests and identify what parameters influence migration to better understand sediment dynamic in the Banks Strait. Numerical analysis showed a constant shift of the sand waves profile in an eastward direction, consistent with the observations. This migration was strongly linked with tidal asymmetry, with a residual current flowing towards the east. The principal parameters driving the migration of sand waves in the Banks Strait were found to be sediment sorting, bed friction and residual current. This study gives new insights for the seabed of Banks Strait and provides an assessment of the natural variability of sediment for futures tidal farms deployments.
From protectiveness to fear of retaliation: social work educators’ experiences with gatekeeping in social work

ABSTRACT Gatekeeping in the social work profession is a difficult task. Social work educators experience a range of emotions as they exercise their gatekeeping functions. This qualitative study examined the lived experiences of 31 social work educators entrusted with the responsibility of protecting the social work profession by ensuring students’ fitness for entering the field. The participants were full-time social work educators in the United States whose primary role was teaching at the undergraduate level. Their responses to interview questions revealed feelings of ambivalence and hesitation, dual-role conflict, and both positive and negative perceptions. The personal impact of gatekeeping on the social work educators included concerns of potential negative teaching evaluations and risks to personal safety. Years of teaching made no difference in the gatekeeping experiences of the social work educators. The findings have implications for social work education in the areas of leadership, support for educators and the need for developing cohesive social work departments.
Acupuncture combined with traditional Chinese medicine for allergic rhinitis: A protocol for systematic review and meta-analysis

Background Allergic rhinitis (AR) is a prevalent yet underappreciated inflammatory disorder of nasal mucosa, which is characterized by pruritus, sneezing, rhinorrhoea, and nasal congestion, some studies have pointed out that if combine Traditional Chinese medicine (TCM) with acupuncture, which can enhance the effect of acupuncture and moxibustion. However, safety and efficacy of acupuncture combined with traditional Chinese medicine for treating allergic rhinitis remain largely uncertain. In our study, we will perform the first systematic review and meta-analysis to explore the effectiveness and safety of acupuncture combined with TCM for AR. Methods We will search the randomized controlled (RCT) literatures involving acupuncture combined with TCM for treating AR in seven electric databases, including PubMed, Web of science, EMBASE, the Cochrane library, Chinese National Knowledge Infrastructure (CNKI), Chinese Biomedical Literature Database (CBM), WanFang Database. We will define the total effective rate or cure rate, and recurrence rate as the primary outcomes. the rhinoconjunctivitis quality of life questionnaire (RQLQ) score, symptom score (nasal congestion, snot, sneezing) will be regarded as the secondary outcomes. Quality assessment of included studies will be independently performed according to the Cochrane Risk of Bias tool. Meanwhile, the level of evidence for results will be assessed by using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) method. All analysis will be conducted by using the RevMan software V5.4. Conclusion The conclusion of this study will confirm safety and efficacy of acupuncture combined with TCM in the treatment of allergic rhinitis, which can provide new evidence to guide appropriate interventions on AR with acupuncture combine with TCM in future. Systematic review registration: PROSPERO CRD42021247621
Understanding the dimensions of managerial decency construct

This study aims to improve the understanding of perceived managerial decency by developing an initial set of items for its measurement scale. Based on the social exchange theory and driven by the strong need for instilling more decency and civility in managerial discourse, this study makes a comprehensive overview of the scope and domain of perceived managerial decency and extracts the potential decency dimensions. After conducting a literature review, 50 collected interview responses on typical examples of managerial decency, as perceived by employees, served as a basis for further analysis. Using the content analysis tools, we generated a set of initial items and dimensions of decency. Those were further refined by 21 experts (5 from academia and 16 from the target audience) using the means of qualitative and quantitative assessment. as a result, we define the perceived managerial decency construct and outline its six potential dimensions: (1) respectful interactions, (2) treatment with good manners, (3) employee development, (4) mutual trust, (5) decent feedback, and (6) providing insight into a bigger picture, as well as generate a set of 75 valid items that reflect the decency construct. We further discuss the research implications for theory and practice.
Methodological Comparisons of Absorptive and Transport Fine Root Production, Mortality and Decomposition in A Loblolly Pine Plantation Forest

Background and aims Fine roots can be functionally classified into an absorptive fine root pool (AFR) and a transport fine root pool (TFR) and their production, mortality and decomposition play a critical role in forest soil carbon (C) cycling. Different methods give significant estimates. However, how methodological difference affects AFT and TFR production, mortality, and decomposition estimates remains unclear, impeding us to accurately construct soil C budgets. Methods We used dynamic-flow model, a model combining measurements of litterbags and soil cores, and balanced-hybrid model, a model combining measurements of minirhizotrons and soil cores, to quantify these fine root estimates in a managed loblolly pine forest. Results Temporal changes in production, mortality or decomposition estimates using both models were not different for both AFRs and TFRs. Annual production, mortality, and decomposition were comparable between AFRs and TFRs when measured using the dynamic-flow model but significantly higher for AFRs than for TFRs when measured using the balanced-hybrid model. Annual production, mortality and decomposition estimates using the balanced-hybrid model were 75%, 71% and 69% higher than those using the dynamic-flow model (P < 0.05 for all), respectively, for AFRs, but 12%, 6% and 5% higher than those using the dynamic-flow model (P > 0.05 for all), respectively, for TFRs. Model test showed that the balanced-hybrid model had greater estimation accuracy than the dynamic-flow model. Lower AFR estimates using the dynamic-flow model appeared to result from the underestimated AFR mass loss rate induced by the litterbag method. Conclusions Methodological difference had a more significant impact on AFR estimates than on TFR estimates. These results have important implications for better quantifying the most dynamic fraction of fine root system and understanding soil C cycling.
Empirical Study on the Effects of Technology Training on the Forest-Related Income of Rural Poverty-Stricken Households—Based on the PSM Method

The implementation of technology training is essential to promote the commercialization of research achievements, and plays a crucial role in poverty alleviation in China. Based on the microcosmic survey data of farmers in four poverty-stricken counties officially assisted by National Forestry and Grassland Administration, the effects of technology training on forest-related income of rural poverty-stricken households is analyzed by using Propensity Score Matching (PSM) method. The study found that after eliminating the deviation from the self-selection and the endogenous issues, the forestry technology training has increased the total forest-related family income and forestry production and operation income by 3.09 times and 2.82 times, respectively. The effect of technology training on income increase is remarkable. Besides, the behavior of poor farmers participating in forestry technology training is significantly affected by the following factors, such as gender, age, family size, managed forestland area, whether they held forest tenure/equity certificate, whether they joined forestry professional cooperatives, and whether they cooperated with forestry enterprises. In order to further improve the effect of technology in poverty alleviation, the following policy recommendations are proposed, including: (1) to encourage poverty-stricken households to actively participate in forestry technology training; (2) to establish a diversified system of forestry technology training; and (3) to ensure the training content is based on the actual needs of the poor.
Leveraging Twitter data to analyze the virality of Covid-19 tweets: a text mining approach

ABSTRACT As the novel coronavirus spreads across the world, work, pleasure, entertainment, social interactions, and meetings have shifted online. The conversations on social media have spiked, and given the uncertainties and new policies, COVID-19 remains the trending topic on all such platforms, including Twitter. This research explores the factors that affect COVID-19 content-sharing by Twitter users. The analysis was conducted using 57,000 plus tweets that mentioned COVID-19 and related keywords. The tweets were subjected to the Natural Language Processing (NLP) techniques like Topic modelling, Named Entity-Relationship, Emotion & Sentiment analysis, and Linguistic feature extraction. These methods generated features that could help explain the retweet count of the tweets. The results indicate that tweets with named entities (person, organisation, and location), expression of negative emotions (anger, disgust, fear, and sadness), reference to mental health, optimistic content, and greater length have higher chances of being shared (retweeted). On the other hand, tweets with more hashtags and user mentions are less likely to be shared.
Distributed Optimization of Second-Order Nonlinear Multiagent Systems With Event-Triggered Communication

In this article, we study the event-triggered distributed optimization problem of second-order nonlinear multiagent systems under undirected and connected communication topologies. To reduce the cost of information exchange in an optimization problem, a distributed event-triggered communication-based algorithm is proposed. In an event-triggered mechanism, the information interaction process of the network is controlled by a set of trigger conditions. The trigger condition of each agent only requires its own state information and its neighboring agents’ state information. Each agent updates its own states only at the triggering time. In order to achieve the optimal result of the optimization problem and reduce the cost of communicatio, we propose a distributed event-triggered algorithm based on gradient descent. Moreover, we analyze the convergence of the algorithm by constructing a suitable Lyapunov function. Furthermore, we prove that the Zeno behavior can be avoid. Finally, we provide examples to validate the effectiveness of the obtained result.
Engaging the dragon: UK government documents on doing business with China

Abstract China’s rise as a global economic and political power has created a policy puzzle for established global players. For the United Kingdom (UK), the policy towards China has pursued a dual emphasis: seeking commercial benefits and promoting a positive social and political change. We explore the scope and tone of official UK policy publications on doing business with China. We argue that, while these documents reflect some of the predominant concerns of public debates over the UK’s relationship with China, the political neutrality of the civil service and insulation from external forces enable the relationship to continue. We conduct content and sentiment analyses of government publications focussing on China from 2013 to 2018. During this period, the key policy focusses have remained stable, while the extent to which the main topics are discussed changes slightly with time. Sensitive topics are dealt with using a neutral tone, while publications have become increasingly positive on the prospects of business interactions with China.
Preparation and Characterization of Curcumin Loaded Chitosan Nanoparticles for Photodynamic Therapy

Photodynamic therapy (PDT) is a minimally invasive tumor targeting strategy, in which tumor tissues can be selectively destroyed. Upon excitation with light of a specific wavelength, a photosensitizer can produce reactive oxygen species (ROS) in the presence of molecular oxygen, thereby exhibiting a cytotoxic effect toward the surrounding tissues, giving a total control on the onset of therapy. In this research work, curcumin as a natural photosensitizer has been investigated against cancer cells. To enhance the solubility of curcumin, a nanoformulation is developed using chitosan as biodegradable and biocompatible polymer that has the ability to encapsulate curcumin and improve its therapeutic effect. Physicochemical characterizations revealed that the prepared formulations were in the nanoscale range and had a positive ζ‐potential. Upon irradiation using a novel LED device (λex = 457 nm), curcumin nanoparticles were able to generate ROS and destroy tumor cells. Moreover, unloaded nanoparticles exhibited nonsignificant phototoxicity. These outcomes confirm the importance of curcumin nanoparticles in enhancing the efficacy of curcumin and offer new insights in the field of PDT against cancer.
IMPROVEMENT IN STRUCTURAL, OPTICAL AND ELECTRICAL PROPERTIES OF ITO FILM THROUGH AlN AND HfO2 BUFFER LAYERS

Indium Tin Oxide (ITO) films were deposited on glass substrate using radiofrequency (RF) magnetron sputtering technique. To improve the physical characteristics of the ITO film, AlN and HfO2 buffer layers were deposited on glass prior to the film deposition. The ITO/glass, ITO/AlN/glass and ITO/HfO2/glass films were annealed using CO2 laser and electrical oven heating methods. The crystallinity of the ITO film was improved due to the incorporation of AlN and HfO2 buffer layers and also by the post-deposition annealing process. The optical transmittance of the ITO was also increased due to the presence of the buffer layers. Similarly, the annealed ITO films grown on buffer layers exhibited lower values of the sheet resistance as compared to the film deposited without buffer layers. The laser annealing technique was more found to be more effective in reducing the ITO sheet resistance.