Miracle-dz/UniFAR-FTUs huggingface dataset:
The Politics of Coronavirus in Chile

This project analyzes political decisions regarding Covid-19 made by central governments and the effect of these decisions on the behavior and choices of infected individuals. This is not an epidemiologic research. As the following sections show, this pandemic is also an outcome of social structures and individuals’ behavior. National and local political decisions play an important role in the recent behavior of Covid-19. The 2019 year ended with the emergence of a previously unknown disease, Covid-19. The World Health Organization (WHO) received reports of a “pneumonia of unknown cause” spreading in China. By the end of January there were already nearly 1,000 cases across East Asia. The swift outbreak of the “novel coronavirus” [1] motivated the WHO to declare a Public Health Emergency of International Concern (PHEIC) on January 30th [2]. From that day on, the world has changed. Isolation, social distancing, and the infection and death of thousands of individuals now characterize the “new normal. ” As of June 3
I/c-Extremization in M/F-Duality

We study the holographic dual to c-extremization for 2d (0, 2) superconformal field theories (SCFTs) that have an AdS3 dual realized in Type IIB with varying axio-dilaton, i.e. Ftheory. M/F-duality implies that such AdS3 solutions can be mapped to AdS2 solutions in M-theory, which are holographically dual to superconformal quantum mechanics (SCQM), obtained by dimensional reduction of the 2d SCFTs. We analyze the corresponding map between holographic c-extremization in F-theory and I-extremization in M-theory, where in general the latter receives corrections relative to the F-theory result.
Analyzing Forum Members by Their Comments

In the paper we present a forum analysis from the messages of the users in Hungarian forum topics. We represent the life of a forum topic, and the peoples inside the forum. We make categories and analyze the users from their word usage. For a user, we want to represent them with their common words, their most important sentences, plus we can compare them to another user or to the average of the topic behaviors. The paper analyzes the differences from the average word usage and the average behaviors in the topic and represent it in given time, and in a timeline. We can represent a forum topic’s life.
Variation among populations of Prunella vulgaris L. in plastic responses to light

Phenotypic responses to photon flux density (PFD) by five populations of the herbace- ous perennial Prunella vulgaris L. were compared. Plants from each population were grown in two light environments, and we measured the effect of PFD on overall performance (size) as well as the responses of several physiological traits to PFD. Both measures of size and physiological traits differed significantly between light environments and among populations. Significant population- by-environment interaction was detected for measures of size but not for any physiological traits. These results indicate significant differ- ences among populations in the extent to which size is reduced by a decrease in PFD. However, these differences are not the result of variation in the responses of the physiological traits we measured. A comparison of the patterns of correlations among traits in the two light environments indi- cated signficant similarity of correlation structure between environments. This result contrasts with those of studies showing strong environmental dependence of phenotypic relationships between traits. Key-words: Phenotypic plasticity, physiological responses to light, population-by-environment interac- tions, population variation, Prunella vulgaris, trait correlations
Can miscanthus C4 photosynthesis compete with festulolium C3 photosynthesis in a temperate climate?

Miscanthus, a perennial grass with C4 photosynthesis, is regarded as a promising energy crop due to its high biomass productivity. Compared with other C4 species, most miscanthus genotypes have high cold tolerances at 14 °C. However, in temperate climates, temperatures below 14 °C are common and our aim was to elucidate cold tolerances of different miscanthus genotypes and compare with a C3 perennial grass – festulolium. Eleven genotypes of M. sacchariflorus, M. sinensis, M. tinctorius, M. × giganteus as well as festulolium were grown under warm (24/20 °C, day/night) and three under cold (14/10 °C, 10/8 °C and 6/4 °C) conditions in a controlled environment. Measurements of photosynthetic light response curves, operating quantum yield of photosystem II (ΦPSII), net photosynthetic rate at a PAR of 1000 μmol m−2 s−1 (A1000) and dark‐adapted chlorophyll fluorescence (Fv/Fm) were made at each temperature. In addition, temperature response curves were measured after the plants had been grown at 6/4 °C. The results showed that two tetraploid M. sacchariflorus and the standard triploid M. × giganteus cv. Hornum retained a significantly higher photosynthetic capacity than other miscanthus genotypes at each temperature level and still maintained photosynthesis after growing for a longer period at 6/4 °C. Only two of five measured miscanthus genotypes increased photosynthesis immediately after the temperature was raised again. The photosynthetic capacity of festulolium was significantly higher at 10/8 °C and 6/4 °C than of miscanthus genotypes. This indicates that festulolium may be more productive than the currently investigated miscanthus genotypes in cool, maritime climates. Within miscanthus, only one M. sacchariflorus genotype exhibited the same photosynthetic capacity as Hornum at both cold conditions and when the temperature was raised again. Therefore, this genotype could be useful for breeding new varieties with an improved cold tolerance vis‐a‐vis Hornum, and be valuable in broadening the genetic diversity of miscanthus for more widespread cultivation in temperate climates.
Can Macroeconomic Conditions Affect Enrollments in Higher Education? A Study of U.S. College Enrollment Rates From 2002-2014

In a recession, the opportunity cost to pursue both college degrees and vocational certificates drops, but does it push groups of students to choose one path over the other? Are students’ choices of major directly affected by the state of the economy? This research focuses on how recession affects students’ decisions to pursue post-secondary education. This study analyzes data from The Integrated Postsecondary Education Data System on enrollment rates over the admission years spanning 2002-2014. It is found that Hispanic students enroll into highereducation at times opposite than economic theory would predict, relative to other ethnicities. Also, evidence of major switching from non-STEM to STEM majors is found. These findings may be due to significant changes in the opportunity cost to attend higher education as well as a large drop in the consumption value of degrees with high intrinsic value. Thomas Smith 913356676 3/17/17
Discovery of a third member of the Maculipennis Group in SW England

Currently the Anopheles maculipennis complex in UK is believed to comprise two species An. atroparvus van Thiel and An. messeae Falleroni. Following the recent description of a new species An. daciae Linton, Nicolescu & Harbach from Romania, which closely resembles An. messeae, we herein report its presence in the Somerset Levels of SW England. Specimens of An. daciae in SW England were identified by comparison of their nuclear ITS2 and mitochondrial COl gene sequences generated from the type series. Anopheles daciae and An. messeae cannot be differentiated using the current messeae-specific primers designed by Proft et al. (1999).
Integrated Environment Based on Anytime Solution Search Algorithms and A Non-Relational Database for Real-Time Intelligent Systems

In this paper we describe how to apply an integrated environment based on anytime solution search algorithms and a non-relational (NoSQL) database to intelligent real-time systems. As an example, we consider the problem of routing between two points on a map. The choice of anytime algorithms of search of the decision is caused by their orientation for real-time searching. The choice of the NoSQL database is caused by greater efficiency when working with the information presented in the form of graphs compared to traditional databases. It is shown that anytime algorithms also allow to speed up the process of obtaining a solution, which is very relevant with rather strict routing time constraints. Integration of the anytime algorithms and NoSQL databases are particularly useful when solving problems with search spaces represented as a graph.
Implementation and Evaluation of a Conversational Agent Replying with a Context-sensitive Joke

概要:現代社会において対話型エージェントは,我々の日常生活に浸透し始めており,今後も多くのユー ザが利用すると考えられる. 一方で,エージェントとの無機質な対話に親しみを感じないユーザは,この ような対話型エージェントを受け入れられないという問題が懸念される. この問題を解決するために我々 は,ユーザの発言の一部をわざと間違えて聞き返す,ボケて返す対話型エージェントを提案してきた. し かし,従来手法では,ボケる際に文の文脈を考慮せずに置換単語を決定しているため,文全体で見た際に ユーモア性が損なわれる可能性がある. そこで我々は,エージェントがボケる際に,文の文脈を考慮する ことで,ユーモア性を保てると考えた. この考えに基づき,文脈を考慮してボケる対話型エージェントを 提案する. これは,文の概念を代表する単語を,音が近く,文の概念から意味が離れた単語に置換すると いうものである. 本稿では,エージェントが文脈を考慮したボケを行うプロトタイプシステムを構築し, それを用いた検証実験を行った.
13 : Deep Generative Models II

The goal of Vanilla GAN in general is to generate new images via learning from the original image data. The model primarily consists of two parts, i.e. a generator which produces image from noise z and a discriminator which tries to distinguish between z and the true images x. The Vanilla GAN is performing an minimax game between a generator G and a discriminator D. G tries to generate samples as close to the true data as possible whereas D tries to distinguish them apart. The loss objective is therefore formulated as:
How Can I Help my Anxious Child with Autism Spectrum Disorder? Understanding Parental Perspectives and Treatment Preferences

v Introduction . 1 Aims of the Current Study . 7 Methods . 9 Participants . 9 Procedures . 9 Measures . 10 Demographics and History Questionnaire . 10 Perceptions of Anxiety Treatment Scale . 10 Spence Children’s Anxiety Scale – Parent Form . 11 Clinical Global Impression Scale – Severity . 12 Data Analytic Plan . 12 Results . 17 Assessing Parent Perceptions of Treatment . 17 Acceptability of Treatments . 17 Effectiveness of Treatments . 17 Willingness-to-Use Treatments . 17 Factors Influencing Perceptions of Treatments . 17 Assessing Parent Preferences for Treatment . 18 Differences in Parent Perceptions based on Demographic Factors . 18 Child’s Gender . 18 Child’s Age . 19 Child’s Race/Ethnicity . 19 Parent’s Education . 19 Associations between Parent Perceptions and Child Clinical Characteristics . 19 Parent perceptions based on Child Treatment History . 20 Discussion . 31 References . 37 Appendices . 42
Turing instability for a two dimensional semi-discrete Gray-Scott system

This paper is concerned with the spatial patterns of the Gray-Scott system which describes a general twovariable kinetic model that represents an activator-substrate scheme, where the space is discrete in two dimensions with the periodic boundary conditions and the time is continuous. Furthermore conditions for producing Turing instability of a general semi-discrete system are obtained through linear stability analysis and this conclusion is applied to the semi-discrete G-S model. Then in the Turing instability region of semi-discrete G-S model, we perform a series of numerical simulations which shown that this system can produce some new Turing patterns such as striped, spotted and lace-liked patterns in the Turing instability region. In particular, the observation of Turing patterns are reported, as a control parameter is varied, from a spatially uniform state to a patterned state. It suggests that the values of parameters make a great impact on Turing patterns. Key–Words: Semi-discrete; Gray-Scott model; Turing instability; Turing pattern; Diffusion; Pattern formation
Aplicabilidad de las mediciones de variabilidad genética a la pesquería del ostión americano Crassostrea virginica Gmelin del Golfo de México

The measurement of the genetic variability of commercial populations of marine resources is a very valuable tool in the monitoring and designing of strategies in fisheries, in order to regenerate genetic resources. Oyster populations from the Mexican coast of the Gulf of Mexico were found genetically impoverished when they were evaluated on their amount of genetic variability, by means of biochemical genetic methods (De la Rosa, 1986). In order to demonstrate the applicability of measurements of genetic variability in the design of hybridization programs between populations, 43 http://dx.doi. org/10.7773/cm.v14i4. 616 De la Rosa Vélez, J. y Rodriguez Romero, F. Aplicabilidad a genetic identity analysis was performed on eight populations from the Gulf of Mexico. It is suaested that the Laguna Madre population is the best option for the regeneration of the genetic pox of the other populations studied.
Is Air Pollution Regulation Too Stringent?

This paper describes a novel approach to estimating the marginal cost of air pollution regulation, then applies it to assess whether a large set of existing U.S. air pollution regulations have marginal costs exceeding their marginal benefits. The approach utilizes an important yet underexplored provision of the Clean Air Act requiring new or expanding plants to pay incumbents in the same or neighboring counties to reduce their pollution emissions. These “offset” regulations create several hundred decentralized, local markets for pollution that differ by pollutant and location. We describe conditions under which offset transaction prices can be interpreted as measures of the marginal cost of pollution abatement, and we compare estimates of the marginal benefit of abatement from leading air quality models to offset prices. We find that for most regions and pollutants, the marginal benefits of pollution abatement exceed mean offset prices more than ten-fold. In at least one market, however, estimated marginal benefits are below offset prices. Marginal abatement costs are increasing rapidly in real terms. Notably, our revealed preference estimates of marginal abatement costs differ enormously from typical engineering estimates. Some evidence suggests that using price rather than existing quantity regulation in these markets may increase social welfare.
Merit-based Design in Floodplain Management

Consistency is a desirable attribute of development assessment, as developers and the community alike need to be able to see that decisions are objective. Technological advances that introduce greater uniformity to such assessments are therefore generally welcomed by authorities. Such advances in flood modelling have allowed very precise and lucid portrayals of flood depths and velocities affecting flood prone land. The high quality mapping of provisional hydraulic hazard that is readily producible nowadays is an effective tool in communicating difficult technical concepts to the community. Councils have seized on this technological step forward in formulating Development Control Plans (DCPs) for flooding, as it enables ready and consistent categorisation of land. Focus on flood velocities and depths however tends to ignore other (less readily quantifiable) factors described in the Floodplain Development Manual (FPDM). It has been argued by the development industry that such a single-focus approach can lead to outcomes inconsistent with the spirit and intent of the FPDM. Compounding this view is the philosophical question as to whether a parcel of land subject to flood hazard in its natural or undeveloped form can be modified (through development) to reduce risk to acceptable levels. In some instances, development can also be designed in ways that improve the safety of the surrounding community. Although the FPDM deals extensively with flood hazard and risk management, it does not directly answer this particular question. This paper discusses two recent court cases where aspects of Flood DCPs were found to be out of step with the FPDM. The arguments put forward by each side are presented and the judgements summarised, with discussion on why the contrary arguments were not accepted. The case is argued for the Floodplain Manager to be given an ongoing active role, considering each case on its own merits and seeking to optimise local outcomes, rather than rigidly adhering to an overall plan based on broad strategic concepts only.
The synergistic antifungal effects of sodium phenylbutyrate combined with azoles against Candida albicans via regulating Ras/cAMP/PKA signalling pathway and virulence

Complete List of Authors: Wenwen, Sun; Affiliated Hospital of Jining Medical University; Taishan Medical University Liuping, Zhang; Pharmaceutical department, Shanxian Central Hospital; Taishan Medical University Xiaoyan, Lu; Pharmaceutical department, Shanxian Central Hospital Lei, Feng; Affiliated Hospital of Jining Medical University Sun, Shujuan; Department of Pharmacy, Qianfoshan Hospital Affiliated to Shandong University
A Personalised Dialogue System based on Person Identification

Interacting with computer systems using natural language is getting more and more common due to the virtual assistant systems. However, when using such dialogue systems one can notice that frequently general responses are given and the systems often cannot interactively learn facts about the user. A personalized and to the user adapted dialogue is the key for a natural feeling conversation. In this work a Transformer model based approach to adapt the dialogue of a chat system based on the knowledge about the user is presented. A computer vision pipeline is used to identify the user, create a user pro le and assign facts gathered through the dialogue to this pro le. Because of the stored facts the system can adapt the dialogue and retrieve the facts later if needed. These capabilities are demonstrated through an automatic evaluation, attention weight visualization and a human evaluation. A generated validation dataset is used for the automatic evaluation in order to check if the system behaves correctly in di erent scenarios. The capabilities like greeting a user, asking for the name, saving and querying a food preference of the user or saving and querying a location of an object are covered by the evaluation. The experiments show that the system is capable of storing and retrieving facts of a user and generating a proper response with an average F1 score of 89%.
Infrared and Visible Image Fusion with Hybrid Image Filtering

Image fusion is an important technique aiming to generate a composite image from multiple images of the same scene. Infrared and visible images can provide the same scene information from different aspects, which is useful for target recognition. But the existing fusion methods cannot well preserve the thermal radiation and appearance information simultaneously. Thus, we propose an infrared and visible image fusion method by hybrid image filtering. We represent the fusion problem with a divide and conquer strategy. A Gaussian filter is used to decompose the source images into base layers and detail layers. An improved co-occurrence filter fuses the detail layers for preserving the thermal radiation of the source images. A guided filter fuses the base layers for retaining the background appearance information of the source images. Superposition of the fused base layer and fused detail layer generates the final fusion image. Subjective visual and objective quantitative evaluations comparing with other fusion algorithms demonstrate the better performance of the proposed method.
Mineral Chemistry and Nomenclature of Amphiboles of Garnet Bear- ing Amphibolites From Thana Bhilwara, Rajasthan, India

Article history Received: 13 July 2020 Accepted: 28 July 2020 Published Online: 30 July 2020 Amphiboles are frequently observed in the medium to high grade metamorphic rocks of garnet bearing amphibolites from Thana. In present work, authors have discussed the mineral chemistry and nomenclature of amphiboles. On the basis of mineral chemistry, the amphibole from garnet bearing amphibolite are normally varies from Hastingsite, Ferropargasite to Tschermakite variety.
SoC Kohonen Maps Based on Stochastic Computing

Mobile systems and by extension Internet of Things (IoT) applications requests more and more Machine Learning functions, thus requiring a big computational power with a small power available. These demands have led to renewed interest in unconventional hardware computing methods capable of to implement complex functions in a simple way, with a very small power consumption. This work proposes a novel System-on-Chip (SoC) implementation of a Kohonen Map based on stochastic computing. In turn, to support this development, several stochastic block designs are presented as Winner-Take-All (WTA) similarity check and the squared Euclidian distance. The capabilities and performance of the proposed SoC solution is tested over a well-known classification task over the Fisher's Iris data set, archiving the same classification performance than the software. The proposed solution requests few hardware resources and low power, due to its inherent capacity to implement complex functions in a simple way. This enables to implement large self-learning classifiers based on Kohonen maps on tiny systems.
STOCK-MARKET FORECASTING USING MACHINE LEARNING

Stock market process is fully uncertainty affected by many factor so that's anyone cannot predict stock market future to solve this problem construct the model which is gather all data, analyze data according stock that predict stock market future hence stock market prediction is important extraction in finance and business. Examines the theory and practice of real time analysis techniques for prediction The original pre of currency values and financial ratios. The data formats in currency values a provide a process for computation of stock prices. The transformed data set contains only a standardized ordinal data type which provides a process to measure rankings of stock price trends. The outcomes of both processes are examined a analysis from machine learning software. This project focuses on using univariate time series forecasting methods for the stock market index, Standard Poor's 500 (abbreviated commonly as SP 500, whic Moving Average (ARIMA) modelling. Time series analysis was through using R and R studio to both predict and visualize predictions. Along with the interactivity of we were able to create stunning visuals that help in understanding which time series forecasting method is most appropriate for time series analysis.
Understanding the Collaboration Needs of a Developing Distributed Team

The initial period of team development and formation can be a tumultuous period when communication patterns and work practices are established that will remain with the team for a long period. Therefore, it is particularly important that teams establish practices and adopt tools that will facilitate the long term success of the team. In this paper we examine a developing distributed team in process of adopting tools to support distributed work. We identify initial tool selection decisions made and elicit the requirements for future tool use from the team. We then relate these requirements to existing tools and research and provide recommendations for fertile research areas in the field of CSCW.