Miracle-dz/UniFAR-FTUs huggingface dataset:
Territorial projection and points of interest in tourist destinations in the South region (Brazil): An analysis based on the 2019-2021 Tourism Map

This article aims to present southern Brazil's municipalities that stand out for their tourist relevance and to analyze the configuration aspects of the collection of Points of Interest (POIs). The starting point was the data consolidated in the Tourism Map 2019-2021. It is an exploratory study of qualitative and quantitative approaches and document design. The intersection of the indicators: (i) establishments and (ii) national visits of the mentioned map resulted in 38 municipalities, corresponding to 3.2% of the region, which represent 71.34% of domestic visits, more than 54% of lodging establishments, and about 46% of the activities related to tourism. The expressiveness of the set goes beyond the dimension of tourism, it is pluritematic, as demonstrated by analysis of REGIC (Instituto Brasileiro de Geografia e Estatística [IBGE], 2016, 2020). A result of 872 P.I. s was raised. The collection revealed irregular and unequal distribution and configuration. Destinations within the coastal marine system and close to the coast stand out as a whole. The coastal ones in the Natural category, while the non-coastal ones in Culture and Leisure Services and Equipment. It is understood that these results can subsidize the planning and management of the region and destinations.
Streptomyces sp. K47 alkaline proteases: partial purification and analysis by zymography

Microbial enzymes are used as organic catalysts in different industrial processes. In this study, we aimed to produce and investigate alkaline proteases from a novel actinobacterium strain isolated from a Black Sea marine sediment. The optimal production conditions for Streptomyces sp. K47 alkaline proteases was 4-days incubation at 28oC in a salt-free medium buffered with 50 mM Tris-HCl buffer (pH 9.0) and containing glucose (1.0%, w v) and yeast extract (0.5%, w v). The enzyme solution was partially purified using (NH4)2SO4 precipitation (40-70%). After desalting, it was purified 1-84 fold with a recovery of 19.42%. Zymogram analyses revealed the presence of more than one protease enzyme. The enzyme solution exhibited maximum activity at pH 9.0 and 37oC, remaining stable after a 2-hour incubation at all tested conditions. Streptomyces sp. K47 has the potential to be used in industrial processes because of its ability to produce multiple protease enzymes displaying stability in a broad pH and temperature range.
Opposition Observations of 162173 Ryugu: Normal Albedo Map Highlights Variations in Regolith Characteristics

On 2019 January 8, the Telescopic Optical Navigation Camera (ONC-T) on board the Hayabusa2 spacecraft observed the Cb-type asteroid 162173 Ryugu under near-opposition illumination and viewing conditions from approximately 20 km in distance. Although opposition observations have never been used for mapping purposes of a planetary body, we found three advantages for mapping under these conditions: (1) images are free of topographic shadows, (2) the reflectance is nearly independent of the orientation of the surface, and (3) spurious color artifacts that may appear near shadowed terrain are avoided. We present normal albedo maps, one for each of the seven filters (0.40–0.95 μm), using an empirical photometric correction. Global coverage of Ryugu is 99.4%. The 0.55 μm band average normal albedo is 4.06% ± 0.10%. Various spectral variations are derived from these maps. Spectral features of regions and boulders are quantified by examining the normal albedo-derived spectral slope and UV index (spectral slope from visible to ultraviolet wavelength) value. In terms of space weathering, three spectral characteristics are observed over the majority of Ryugu: (1) reddening, (2) increases in reflectance at ultraviolet wavelengths compared to visible, and (3) darkening. By contrast, the bright boulders (“type 3”) show a different trend, with wide variations in the 0.95 μm albedo and UV index. Finally, principal component analysis (PCA) comparisons with other asteroids strongly suggest that the main components of Ryugu belong to the B-Cb-type populations. The PCA feature of the fresh material on Ryugu is close to the Eulalia family.
Examining Trends in Out-of-Domain Confidence

We closely investigate the relationship between a neural network’s raw conﬁdence and accuracy out-of-domain, asking if conﬁdence can provide any insight into out-of-domain detection. We ﬁnd that with few exceptions, modern neural networks are indeed less conﬁdent on out-of-domain predictions; they appear to have some inherent knowledge of what they do not know. This relationship does not appear to be consistent or guaranteed, however, and likely cannot be used as more than a rough heuristic for out-of-domain detection
Work Motivation on Lecturer Achievement: Job Satisfaction as Mediating Variables

This study focused on seeing the effect of mediation of job satisfaction between competency and motivation towards lecturer achievement and also partially tested both variables. The object of this study was lecturers at universities in Gorontalo, with 100 respondents by spreading quisioner online. This study also uses structural equation technique with data analysis using SEM-PLS. The results showed that competency variables have a positive and significant influence both partially and mediation of job satisfaction to lecturer achievement. This research can be a reference for universities in looking at competency and motivation relationships through mediating of job satisfaction towards lecturer awards to be able to take the right policies. This research in the design is static, the model that we developed based on empirical studies and testing that is only limited to putting together a simple relationship related to competency variables and motivation as variables that can affect lecturer achievement by mediation of job satisfaction variables. Keyword: Competence; motivation; job satisfaction; lecturer achievement. Abstrak: Penelitian ini difokuskan untuk melihat pengaruh mediasi kepuasan kerja antara kompetensi dan motivasi terhadap prestasi kerja dosen serta menguji secara parsial kedua variabel tersebut. Objek penelitian ini adalah para dosen pada perguruan tinggi di Gorontalo, dengan 100 responden dengan menyebarkan kuisioner secara online. Penelitian ini juga menggunakan teknik persamaan struktural dengan analisis data menggunakan SEM-PLS. Hasil penelitian menunjukkan bahwa variabel kompetensi berpengaruh positif dan signifikan baik secara parsial maupun mediasi kepuasan kerja terhadap prestasi kerja dosen. Penelitian ini dapat menjadi acuan bagi perguruan tinggi dalam melihat hubungan kompetensi dan motivasi melalui mediasi kepuasan kerja terhadap penghargaan dosen untuk dapat mengambil kebijakan yang tepat. Penelitian ini di desain bersifat statis, model yang kami kembangkan berdasarkan studi empiris dan pengujian yang hanya sebatas menyusun hubungan sederhana terkait variabel kompetensi dan motivasi sebagai variabel yang dapat mempengaruhi prestasi dosen dengan mediasi variabel kepuasan kerja. Kata Kunci: Kompetensi; motivasi; kepuasan kerja; prestasi dosen.
Examining Effectuation Theory: Lessons for Entrepreneurial Activity in Developing Countries

Business development and utilization of indigenous resources is directly linked with the level of economic growth of any society. Globalization and innovation have made it challenging for developing countries to keep pace of business development to attain sustainable levels of economic growth. Developing counties are faced with the problems of non-conducive external business environment, complex business registration and taxation systems, scarcity of finance, technological support and logistics, and lack of managerial skills and financial advice. Enhancing entrepreneurial effectuation can enable the entrepreneurs of developing countries to successfully create such businesses that are not only efficient in resources utilization but also have a competitive outlook. Effectuation theory is best suited to the environment of developing countries as it enables the entrepreneurs to undertake affordable losses and in the face of uncertainty, create strategic partnerships and use the contingencies to their benefit. In order to achieve this end, the governments in developing countries can play a role of insurer and confidence booster for those entrepreneurs that can create value to the indigenous resources and create employment and competitiveness.
Robots on Demand: A Democratized Robotics Research Cloud

: Robotics research is slowed by three challenges: building a robotics 1 lab is expensive (few participants), everyone uses different robots (participants’ 2 ﬁndings often don’t generalize outside their lab), and there is no internet-scale 3 robotics dataset (no lab has the resources to make many robots do many different 4 tasks to generate data and there is no data in the wild). The solution is to build 5 a “Robotics Research Cloud” consisting of centers ﬁlled with remotely operable 6 robots in standardized environments. This would be a valuable resource in pushing 7 forward robot learning as a ﬁeld by making cutting-edge robotics research broadly 8 accessible, helping the ﬁeld identify promising new approaches that succeed on 9 agreed benchmarks, and creating a massive real-world robotics dataset similar to 10 those that have revolutionized machine learning for vision and language. 11
ISSR based analysis of genetic variability of plantlets culture of pineapple (Ananas comosus L.) from Sipahutar, North Sumatera, Indonesia

Sipahutar pineapple is very popular in North Sumatra, because of the distinctive sweet taste and normal water content. Furthermore, it is large in size and has a yellow fruit skin color with greenish tips. However, the problem with Sipahutar pineapple production is the limited amount of good quality seeds. The utilization of in vitro culture techniques on pineapples allows the emergence of somaclonal variations, especially in plantlets that have undergone the subculture stage. This somaclonal variation is one of the problems in commercial seedling production, therefore, it is necessary to conduct an initial examination using the inter simple sequence repeat (ISSR) molecular marker. This study aimed to determine the genetic and primary stability of ISSR, which can be used in pineapple plants native to Sipahutar. The methods used include sample preparation, DNA isolation, primer optimization, ISSR primer amplification by PCR method, and electrophoresis. Furthermore, a total of 15 samples were amplified with six ISSR primers, and the data were analyzed by cluster method using the NTSYS-PC software. The final result was visualized in a dendrogram and analysis of diversity was conducted using GenAlex. The results showed that the level of genetic variability of the Sipahutar pineapple, which has undergone in vitro culture using six ISSR molecular markers was 76-97%. Meanwhile, the genetic variability level of the native to Sipahutar pineapple can be influenced by the long culture period and the use of N-benzyladenine. The primers can be used to observe the genetic variability, except for ISSR 25 with a PIC value of 0.000.
ISSN: 2595-573X

The production of good quality carcasses is the main goal of modern commercial and industrial pig farming.The genetic potential of commercial breeds has changed considerably, especially in terms of deposition rates of lean meat and lard thickness. By morphology and analysis of the small intestine one can evaluate the utilization of nutrients for the deposition of fat and meat in swine carcasses.This study aimed to evaluate the quality of carcasses from two commercial genetic breeds, using quantitative traits, and to investigate if there is difference in length and absorptive surface of the intestine, verifying if these data are correlated with the yield of lean meat on the carcass. 60 animals from each breed were slaughtered and evaluations made for the characteristics: hot carcass weight (HCW), carcass length (CL), lard thickness (LT), percentage of lean meat (LM%), intramuscular fat (IMF) and intestinal length (IL). For the analysis of intestinal absorption (IA) were used only 62 of the animals previously studied, being 31 animals of each genotype.The average values of CL and IMF presented differences between breeds. The meat of the swines studied presented a low IMF content, existing correlation between the LM% and LT. The breeds had statistically equal IC, AI and LM%. There was also correlation between LM% and LT.
Dynamic frequency scheduling for CubeSat's on-board and data handling subsystem

Received Jul 22, 2020 Revised Jun 1, 2021 Accepted Jun 13, 2021 CubeSat is a small-sized satellite that provides a cheaper option for the manufacturer to have a fully operational satellite. Due to its size, CubeSat can only generate limited power, and this will restrict its functionality. This research aims to improve CubeSat’s power consumption by implementing the dynamic voltage and frequency scaling (DVFS) technique to on-board and data handling subsystem (OBDH). DVFS will find the best operating frequency to execute all of OBDH’s task. This paper explains how we determined the task set, representing all routine tasks performed by OBDH during normal operation mode. We have simulated the task set using two DVFS algorithms, static earliest deadline first (EDF) and cycle conserving edf (CC EDF). The result shows that both scheduling algorithms give a similar result to our task set. However, when the scheduler is configured as non-preemptive, the simulator failed to schedule the critical task. It means that the system fails to work as intended. Therefore, we conclude that we need to implement mixed-criticality scheduling to prevent critical tasks from being aborted by the system.
Clinical Correlations of Posttraumatic Nightmares in Survivors of Motor Vehicle Accidents

Background: We evaluated the severity and clinical correlates of nightmares of persons injured in high impact motor vehicle accidents (MVAs). Method: De-identified data of 80 post-MVA patients (mean age 38.9 years, SD=12.8) were available and included scores on Item 2 of the PCL5 (severity of repeated, disturbing dreams of the stressful event). Scores were also available on the Brief Pain Inventory (BPI), Morin’s Insomnia Severity Index (ISI), Rivermead Post-concussion Symptoms Questionnaire, Subjective Neuropsychological Symptoms Scale (SNPSS), Whiplash Disability Questionnaire, and on three questionnaire measures of driving anxiety (Steiner’s, Whetstone’s, and DAQ). The patients were assessed, on the average, 49.7 weeks (SD=36.3) after their MVA; all still experienced active post-MVA symptoms requiring therapy. Results: Clinically relevant levels of MVA nightmares were reported by 62.5% of post-MVA patients. Subjectively more aversive levels of MVA nightmares correlated with higher driving anxiety as measured by the Whetstone questionnaire and DAQ, with higher levels of average postaccident pain and insomnia, with post-accident neuropsychological symptoms as measured by the Rivermead and SNPSS, and with higher post-accident levels of depression, anger, and generalized anxiety. Discussion and Conclusions: Almost two-thirds of our post-MVA patients reported MVA nightmares and their level of subjectively aversive impact correlated with most variables within the typical polytraumatic symptom pattern of these patients.
Using machine-learning methods for analysing the results of numerical simulation of laser-plasma acceleration of electrons

Using machine-learning methods based on self-organising Kohonen maps, the results of numerical simulation of the acceleration of electrons during the interaction of high-power laser radiation with plasma are analysed and classified. The particle-in-cell (PIC) method is used to simulate the interaction in a wide range of parameters (laser intensity and plasma concentration). For each set of parameters, the spectrum of accelerated electrons is found, based on which the charge, average energy, and relative energy spread of accelerated electrons are calculated. Using the obtained values as input parameters of the map, the classification of various acceleration regimes is performed. The developed scheme can be used to identify the optimal acceleration regimes under more realistic conditions, considering a larger number of parameters.
MODERATING EFFECT OF FINANCIAL EXPERTISE ON THE RELATIONSHIP BETWEEN OVERCONFIDENCE AND QUALITY OF ACCOUNTING DISCLOSURE

Objective: The research seeks to analyze the moderating effect of financial expertise of the board of directors in the relationship between executives' overconfidence and the quality of accounting disclosure. Method: A documentary research was carried out, considering data related to the period from 2011 to 2017, and the application of statistical techniques of correlation and multiple linear regression. The sample consists of 146 publicly-held companies with data available to operationalize the variables. Findings: The results revealed that in companies where the board of directors has financial expertise, executives' overconfidence is minimized. Financial expertise moderates positively the relationship between overconfidence and the quality of accounting disclosure. In general, the results suggest that the financial knowledge of the board of directors reflects on the quality of accounting disclosure, even if the executive denotes overconfidence and minimizes the quality of accounting disclosure. Contribution: The study contributes to helps investors and accounting regulators to understand how the personality traits of executives and the knowledge of the board of directors can interfere in the quality of accounting reports.
D ETECTING A DVERSARIAL A TTACKS THROUGH N EURAL A CTIVATIONS

This paper presents a methodology to detect adversarial manipulations to image data by examining the activation patterns in a neural network. By comparing a sample’s layer-wise neural activations to clusters of its predicted class, we are able to detect irregularities between a model’s layer activations and its ﬁnal predicted class. We evaluate our detection method using the FGSM attack method as well as the Carlini-Wagner L2 attack and misclassiﬁed images from the ImageNet dataset
Heterocyclic tetracyclic tetrahydrofuran derivatives as 5ht2 inhibitors in the treatment of Cns disorders

[Formula 1] The present invention, serotonin receptors, particularly 5-HT2A and 5-HT2C receptors, and dopamine receptors, in particular having a binding affinity for the dopamine D2 receptor and the novel substituted heterocyclic with norepinephrine reuptake inhibition properties tetracyclic tetrahydrofuran derivatives, pharmaceutical compositions comprising a compound according to the invention, in particular, psychiatric and neurological disorders of a certain range, in particular certain psychotic, prevention of cardiovascular and gastric motility disorders and / or its use as a medicament for the treatment, as well as methods for their preparation. The compounds according to the invention, can be represented by the general formula (I), and also their pharmaceutically acceptable acid or base addition salts, their stereochemically isomeric forms thereof, their N- oxide forms thereof and include their prodrugs, in this case, all substituents are defined as in claim 1.
ON INTEGRATION OF EVOLVING INFRASTRUCTURE TOPOLOGY GRAPHS AND METRIC DATA STREAMS IN INFORMATION TECHNOLOGY INFRASTRUCTURE MANAGEMENT

Modern cloud-based information technology (IT) infrastructure monitoring context and data are gathered from various systems. Typical monitoring systems provide a set of metrics characterizing the performance and health of a variety of infrastructure components. To understand the dependencies and relations among these measurements, the infrastructure topology can be analysed to provide context to the monitoring metrics. However, the metrics and the topology are updated at different time intervals and providing continuous merging and analysis of both data sets is a challenging task which is rarely addressed in the scientific literature. The paper elaborates a method for integration of infrastructure topology graph and monitoring metric data streams. The method is intended for application in the identification of anomalies in IT infrastructure.
Duality between following and giving up : feelings experienced by disabled patients after brain vascular accident

Marilucy Caroline Leite Motta Nurse, Graduated from Centro Universitário Teresa D’Ávila UNIFATEA Lorena São Paulo. Professor in the Graduate and Nursing Course at Escola Superior de Cruzeiro ESC Cruzeiro São Paulo and in the Nursing Course at Centro Paula Souza São Paulo. Master and Doctoral Student in Nursing from the Postgraduate Program, Academic Doctorate Course at Universidade Estadual Paulista UNESPBotucatu, São PauloBrazil. ORCID: 0000-0001-6768-4257
“Breque dos Apps”: A Temporal Analysis of Communities and Influencers in Online Public Debate on Twitter

The purpose of this article is to examine the dynamics of the debate on social networking platforms from the perspective of collective identity and collective action concepts. More specifically, we seek to identify who are the central actors on Twitter in the debate about the two delivery app workers’ strike against the work regime and working conditions during the pandemics (UberEats, iFood, Rappi, etc.) occurred on July 1 and 25, 2020, in Brazil. We also examined whether the most influential users played a role in the formation of communities around their interpretation of this topic. To do so, we collected 535,178 tweets published in two periods of workers’ demonstrations, which occurred between June and July 2020. Based on temporal analysis of clusters, we identified the moment of entrance of each community on the debate and discussed how profiles of influencers, social movements, politicians, and celebrities on Twitter played central roles in mobilizing supporters and fostering public engagement linked to acts on the networks. The results show that social mobilization in digital environments occurs from interactions between groups with great involvement with the causes and profiles of more ephemeral performance, whose participation is fundamental for the promotion and dissemination of acts.
The Institutional logic of corruption: An analysis by the discursive patterns of managers in Brazil

Our aim was to verify the ‘institutional logics’ of corruption through the discursive patterns of managers. We conducted an exploratory survey using a qualitative-quantitative method. The interviews were submitted to content analysis, using the Atlas.TI software and the questionnaire was applied by SurveyMonkey. As a methodological contribution, four categories and levels for analyzing the logic of corruption were constructed: Individual, Organization, Networks, and Interinstitutional System. We infer that understanding the institutional logic of corruption can promote a transformation of corrupt behavior and an institutional change by individual cognition that can lead to practical change in society.