Miracle-dz/UniFAR-FTUs huggingface dataset:
Fractional Exhaled Nitric Oxide (FENO) in the management of asthma: a position paper of the Italian Respiratory Society (SIP/IRS) and Italian Society of Allergy, Asthma and Clinical Immunology (SIAAIC)

Asthma prevalence in Italy is on the rise and is estimated to be over 6% of the general population. The diagnosis of asthma can be challenging and elusive, especially in children and the last two decades has brought evidences that asthma is not a single disease but consists of various phenotypes. Symptoms can be underestimated by the patient or underreported to the clinician and physical signs can be scanty. Usual objective measures, like spirometry, are necessary but sometimes not significant. Despite proper treatment, asthma can be a very severe condition (even leading to death), however new drugs have recently become available which can be very effective in its control. Since asthma is currently thought to be caused by inflammation, a direct measure of the latter can be of paramount importance. For this purpose, the measurement of Fractional Exhaled Nitric Oxide (FENO) has been used since the early years of the current century as a non-invasive, easy-to-assess tool useful for diagnosing and managing asthma. This SIP-IRS/SIAAIC Position Paper is a narrative review which summarizes the evidence behind the usefulness of FENO in the diagnosis, management and phenotypization of asthma.
Do Market Participants Listen to Verbal Intervention?

Although verbal intervention appears to impact contemporaneous returns, evidence of a signi cant relationship with end-customer order ow is weak. This suggests that frequent, and by implication often uninformative, o¢ cial communication undermines the e¤ectiveness of verbal intervention as a meaningful policy tool. But there is evidence that the e¤ectiveness of verbal intervention is enhanced when deployed in tandem with physical intervention. These ndings assist in improving the design and implementation of o¢ cial communication policies. Keywords: foreign exchange intervention, exchange rates, communication; order ow; market microstructure JEL Classi cation: We are grateful to Mike Dicks, Michael Erhmann, Martin Evans, Marcel Fratzscher, Stefan Reitz, participants at the Aix en Provence New Microstructure and Central Bank Interventions workshop and at the 4th Annual Central Bank Workshop on the Microstructure of Financial Markets for insightful comments on an earlier draft. yCorresponding author: Université de la Méditerranée, Aix-Marseille 2, Aix en Provence, France. Email: eric.girardin@univmed.fr
Exploring Intention to Adopt Mobile Banking Amongst Indian Youth

The purpose of the present study is to investigate the major factors that influence the intention to adopt mobile banking. It explores the adoption factors using technology acceptance (TAM) and diffusion of innovation (DIT) theory. Major focus of the study is on the young consumer group that is more likely to adopt mobile banking. Analysis of the study is based on responses from college students in the national capital territory (NCT) of Delhi. Data is analysed using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Results indicate that constructs viz., perceived usefulness (PU), perceived ease of use (PEOU), compatibility; trust and attitude are significant factors to be considered for determination of intention to adoption mobile banking. The study includes implications for researchers and practitioners in terms of identifying the key indicators of adoption of emerging technologies pertaining to mobile banking. It forms a base for future research to predict technol ogy adoption in the context of developing countries.
Computed Tomography Texture Phantom Dataset for Evaluating the Impact of CT Imaging Parameters on Radiomic Features

Purpose: To describe the computed tomography (CT) dataset of the Credence Cartridge Radiomic (CCR) phantom we collected at our institution and shared with the research community. Acquisition Method: Two hundred and fifty one CT scans of the CCR texture phantom were acquired on 8 scanners using various acquisition and reconstruction parameters, namely, slice thickness, reconstruction Field of View (FOV), reconstruction kernel, mAs, and Pitch. Multiple scanners and vendors were used to assess the inter-scanner and inter-vendor variability of CT radiomic features. A systematic scanning approach was followed in order to study the effects of varying imaging parameters on the numerical values of the extracted radiomic features. Data format and storage location: CCR Phantom image files were stored in DICOM format in The Cancer Imaging Archive (TCIA, http://www.cancerimagingarchive.net/).
THE LINK BETWEEN CARBON EMISSIONS, AGRICULTURAL OUTPUT AND INDUSTRIAL OUTPUT: EVIDENCE FROM SOUTH AFRICA

This study seeks to establish the relationship between carbon emissions, agricultural output and industrial output in South Africa. It uses data from 1960 to 2017 based on an annual frequency, giving a total of 58 annual observations. The Autoregressive Distributed Lag technique is employed to estimate the model on a bivariate basis. The evidence shows that carbon emissions are not influenced by agricultural and industrial output. Conversely, agricultural output is influenced by carbon emissions and industrial output. The results suggest that climate change resulting from carbon emissions has led to reduced agricultural output, adversely affecting food security. The significant relationship between industrial and agricultural output suggests that a properly functioning industrial sector will cause an increase in the agricultural output. The study’s findings have implications for climate change and manufacturing policies in South Africa.
THRESHOLDS FOR SURVIVAL: MAINTAINING FITNESS AND EVOLUTIONARY POTENTIAL

The major goal in conservation genetics i i the development of m t m a for determining the population size (or minimum uea) which will p m j d e for the maintenance of fitnese and adaptive potential. Thi. in no wdemic exercise; eoonomic and political force, relentlessly enam& on the I d and the budgets given to conservation programs. Unlesn conoervationisu produce sound and defensible uiteria for minimal population d m thrm will be no rational way lo counter t h attacks, and all ol o w eRom I O
Discourse Analysis (DA) in the Context of English as a Foreign Language (EFL): A Chronological Review

This current study is interested in assessing the trending studies discourse analysis during the last five years in the specific context of English as a Foreign Language (EFL). Using the library research method, this study collected 131,000 results of relevant articles from Google Scholar open-access database. This study then analysed 40 selected articles as its main data with NVivo 12 software to ensure its qualitative. Chronologically, this study described how discourse analysis studies have evolved. At first, solely focusing on using discourse analysis to identify students‟ problems in reading comprehension, researchers began to use discourse analysis to examine how teachers authentically perform and propose ways to improve the classroom discourse. Moreover, discourse analysis not only revealed issues that exist between teacher-student and student-student interactive discourses, but also the discourse of critical issues contained in the textbooks that are mandated for EFL programmes.
Physical Modeling of Asymmetrical Flow in Slab Continuous Casting Mold due to Submerged Entry Nozzle Clogging with the Effect of Electromagnetic Stirring

Submerged Entry Nozzle (SEN) clogging is a serious problem for continuous casting process and slab quality. In order to investigate the impact of the SEN clogging rate on the flow field and the optimization effect of electromagnetic stirring (EMS) on the asymmetrical flow due to the SEN clogging, a 1:5 scaled mercury model, with various SEN clogging rates and different electromagnetic stirring currents was established and the flow velocity was measured by means of Ultrasonic Doppler Velocimetry (UDV). S index is introduced to judge quantitatively whether the horizontal flow pattern is symmetrical or not. The results show that the symmetry of the flow pattern in the mold becomes broken with the increase of the SEN clogging rate. In this study, EMS is an effective method to increase S index and active the free surface flow when the SEN clogging rate is under 50%. However, the stirring current of EMS should be controlled to avoid the adverse surface flow which may induce slag entrapment.
AN EXTENDED NATION BRAND MODEL FOR IRAN BASED ON QUALITATIVE RESEARCH APPROACH

Abstract: Nowadays, the importance of understanding and benefiting from the nation brand is an undeniable issue given the intense competition between countries in various fields. Thus, it is essential to use the attitudes and views of specialists and managers to identify various factors affecting nation brand complexity. The present study aims to answer the research questions about the nation brand using qualitative thematic analysis methods. Therefore, the in-depth interview method has been used with experts about factors affecting nation branding in Iran. The data has been investigated by NVIVO-8 software which shows that the seven organizing themes are included Economy, Government and Governance, Tourism, Geography and Environment, Society, Science and Technology and finally Culture and Civilization. These themes have been identified through 43 basic themes of the experts about nation brand, which have been determined through the investigation. In the final step of this research, a thematic network of factors and their relation with each other have been presented which influence on nation brand of Iran. Keywords: Nation branding, Iran, Competitive advantages, Thematic analysis, Qualitative Analysis.
The physiological responses of four turfgrass species to drought stress

Drought stress is one of the most important factors which reduce turfgrass growth and quality in the area with restricted rainfall or irrigation water supply. Using resistant species and varieties can be a useful management program for reducing irrigation requirement in turfgrass. The present study was carried out to examine the physiological changes of four species turfgrass in response to drought stress conditions. The rhizomes of bermudagrass, and seeds of tall fescue, perennial ryegrass and kentucky bluegrass were cultivated at the greenhouse in PVC pots (20 cm in diam., 20 cm long). After four months, when the seedlings well established, drought stress was applied in 100% field capacity (FC), 75% FC, 50% FC and 25% FC. Proline, electrolyte leakage (EL), malondialdehyde (MDA), relative water content (RWC), chlorophyll, catalase (CAT), superoxide dismutase (SOD) and peroxides (POD) was measured. All species showed an ability to tolerate drought stress, but tall fescue exhibited more tolerance, with a higher RWC and proline content. Tall fescue also revealed higher CAT, SOD, POD activities and lowest MDA, EL. This study found that kentucky bluegrass was more vulnerable to severe water stress, and displayed the highest MDA and EL as compared to the other examined species.
Catchain Consensus: An Outline

The aim of this text is to provide an outline of the Catchain Consensus Protocol, a Byzantine Fault Tolerant (BFT) protocol speciﬁcally crafted for block generation and validation in the TON Blockchain [3]. This protocol can potentially be used for purposes other than block generation in a proof-of-stake (PoS) blockchain; however, the current implementation uses some optimizations valid only for this speciﬁc problem.
Technical Report : A inventory of open and dark web marketplace for identity misrepresentation ?

Biometric identification is a critically important technology in traveler, immigration and refugee management. The technology itself and the processes related to human identification and identity management are a prime target for identity theft, tampering, spoofing, and impersonation. In the past year, our team developed a systematic methodology for identification of biometric technology vulnerabilities and identity management process limitations. We defined several attack vectors and tried to establish objective measures of risk exposure. But to establish risk exposure, one needs to understand the social process that may lead to biometric attacks. Therefore, we developed a methodology to monitor publicly available information sources that may reveal the extent of threats, availability and sophistication of attack tools and how-to recipes for biometric attacks at US Ports of Entry. This report presents the search techniques we developed and overviews current results.
Estimation of Drought by Streamflow Drought Index (SDI) and Artificial Neural Networks (ANNs) in Ankara-Nallihan Region

In this study, it is aimed to predict drought in Nallihan region by using streamflow drought index and artificial neural network method which is a part of artificial intelligence approaches. The measured data of some meteorological stations (Nallihan, Beypazari, Mihaliccik, Catacik, Goynuk, Mudurnu, Seben and Eskisehir) in the Sakarya Basin and the Nallihan streamflow observation station between 1996 and 2015 were used to forecast 2015-2030 streamflow values. The correlation coefficient in the education and test stages of the ANN model was realized with a high consistency of 0.990 and 0.967, respectively. According to the mean absolute error method, the error performance values of ANN model are 0.19 for the training phase and 0.26 for the test phase. Cumulative streamflow series were created for the reference periods (k1, October-December; k2, October-March; k3, October-June; k4, October-September) and the streamflow drought index values were obtained using measured and predicted values. According to these values, mild droughts were more frequent between 1997-2015 and 2016-2030, but the number of moderate and severe droughts increased gradually. It is predicted that in the future, it may be seen in extreme arid periods in the region. Drought in the 6-month period between October and March is similar to the average of all periods for 1997-2015 and 2016-2030. The use of 6-month drought data for the streamflow drought index is expected to be useful in predicting future drought.
Wireless Sensor Communication using Mobile Cloud Computation

— Cloud environments are mainly used for storage and processing of data, but lately many organizations have desired to operate their businesses, works and services from a mobile phone through cloud. Together with an explosive growth of mobile applications and emerging cloud computation concept, mobile cloud computation has been introduced to be a potential technology for mobile services. Activities like e-learning, environmental learning, remote inspection, health-care, home security and safety mechanisms etc. requires a special infrastructure that might provide continuous, secured, reliable and mobile data with proper information/ knowledge management system in context to their confined environment and its users. Wireless Sensor Network is a very important technology in which sensor are placed in distributed manner to monitor physical and environment changes such as temperature, pressure etc. Combining these two technology helps in easy management of remotely connected sensor nodes and the data generated by these sensor nodes. This paper discusses the integration of Wireless Sensor Communication using Mobile Cloud Computation, with their applications, the issues with the current system, and their possible solutions.
APPRAISING DOMAIN SPECIFIC RISK-TAKING BEHAVIOUR AMONG UNIVERSITY POSTGRADUATES: AN EMPIRICAL STUDY BY DEMOGRAPHIC PROFILES DR. RITU RANI*

This study examined the comparison among university postgraduates regarding domain specific risk-taking behaviour by age groups, gender, locality and faculty. Descriptive Survey Method was used. Participants were 960 postgraduates from three state universities of Haryana i.e. Kurukshetra University, Kurukshetra (KUK), Maharshi Dayanand University, Rohtak (MDU) and Chaudhary Devi Lal University, Sirsa (CDLU) and the sample was selected through purposive-cum-random sampling technique. Domain specific risk-taking scale (DOSPERT) by Blais & Weber (2006) was used to assess the risk-taking behaviour among university postgraduates and the reliability of the tool was 0.805 in the present study. Kruskal Wallis One way ANOVA was used to compare different groups. Results of the study indicated that university postgraduates were found to differ significantly in different aspects of risk-taking by gender, locality and faculty. No significant differences were observed between two age groups.
The Data Donation Pass: Enabling Sovereign Control of Personal Healthcare Data

— Today, anybody is able to create and collect more and more data for monitoring the personal health, e.g. by using smart or wearable devices. However, these data are stored in distributed data silos in heterogeneous formats operated by different service providers. Although, these data is considered as very helpful for researchers and medical experts, it is mostly inaccessible for them. In the given contribution, we introduce the data donation pass, which enables citizens the sovereign control of their personal healthcare data in a digital society. It provides a holistic view of personal healthcare data independent from data source and data format. Furthermore, it enables the donation of selected subsets of de-identiﬁed data, e.g. for selected research projects, participation in clinical trials, or for supporting disease-speciﬁc longitudinal databases.
Work alienation and its gravediggers: Social class, class consciousness, and activism

Work activity is central to human psychology. However, working conditions under capitalist socioeconomic relations have been posited as psychologically alienating. Given the negative impact of work alienation on well-being and mental health, we conducted two studies of the relations between social class, work conditions, and alienation. We also examined factors that might counteract alienation – class consciousness and activism. The utility of a Marxist measure of social class – based on objective work relations – was compared with that of SES and subjective class measures. Study 1 surveyed 240 U.S. adults from diverse socioeconomic backgrounds using Amazon’s Mechanical Turk; Study 2 was a replication with 717 adults recruited via a sampling company. Across studies, alienation was predicted by perceived work exploitation, poor work relationships, and lack of self-expression, meaningfulness, self-actualization, autonomy, and intrinsic motivation at work. Only the Marxist class measure – not SES or subjective class measures – predicted alienation and alienating work conditions across studies. Working-class participants experienced more alienating work conditions and greater alienation. Alienation was correlated with class consciousness, and class consciousness was associated with activism. While SES measures have dominated the psychological study of social class, results suggest benefits to integrating Marxist measures and conceptions of social class.
Reliability and Construct Validity: Of the Basketball Movement Skills Instrument

This study was aimed at testing the construct validity of the basketball basic motion skills test instrument (ITK GDBB). The research used descriptive method of 3 basketball experts in the city of Cimahi; 3 experts are the expert in basketball. The instrument used was the ITB GDBB developed by Silvy (2019) consisting of top passing, bottom passing, top service, bottom service, chest passing, bounding passing, overhead passing, and leading ball (dribbling). This instrument consists of 76 items that cover 4 domains in basketball, namely chest pass, overhead pass, bound pass, and dribbling. The validity method used the construct validity of different power types. For the reliability method, it used the Kuder Ricardson (KR) and Objectivity analysis. The results of the construct validity analysis of a total of 76 items show that the score is ranged from 0.67 to 1.00. The construct validity value of 71 items in the basketball game is in the high category (= 1.00), 5 items are in the sufficient category, the relativity score is ranged from 0.75 to 0.98, and the objectivity score is ranged from 0.89 to 0.95. The conclusion is that this test instrument can be used as a standardized basic motion skill test for standardized large ball games for validity in basic motion skills in basketball games for grade VII junior high school students.
A study of clinico pathological spectral correlation in multibacillary leprosy

Background: Leprosy expresses itself in different clinico-pathological forms, depending on the immune status of the host.The diagnosis and classification of leprosy have traditionally been based on the clinical examination with additional information from skin smears and histopathological examination. Very often, disparities between clinical and histopathological findings are observed. This study was aimed to correlate between clinical and histopathological spectral correlation of newly diagnosed multibacillary leprosy cases for a period of 1 year. Methods: The study was conducted in the Department of Dermatology and Venereology, Government Medical College, Thiruvananthapuram, for a period of 1 year. All newly diagnosed multibacillary leprosy cases were included. Results: A total of 40 patients with clinically diagnosed multi bacillary leprosy were studied. Maximum numbers of leprosy patients studied were in the age group of 40-49 years. Maximum clinical and histopathological correlation was found in 75% (9/12) in lepromatous leprosy and least correlation of 44.44% was noted in borderline lepromatous (4/9). Conclusions: In this study maximal clinico-histopathological spectral correlation was found in lepromatous spectrum. The percentage of correlation was considerably less in all the other groups.
Building Bots for Shooter Games based on the Bartle’s Player Types and Finite State Machines: A Battling Behaviour Analysis

—The players types are increasingly demanding especially in relation to the experience that the game provides. In shooter games, although the bots often have the same level of skill and follow speciﬁc rules throughout the game, not presenting their own strategies. This fact can mean a fragility in the game design process, since players expect even more realism in shooter games. In this context, the creation of bots showing believable behaviours can be decisive for the success of a shooter game next to its target audience. This work presents a proposal of revisiting the Bartle’s typology in order to adapt it to bots behaviour. Then, considering a shooter battle arena scenario, this work assumed that realistic and efﬁcient bots for shooter games can be developed based on four behaviour types: killer, achiever, explorer, and beginner. Each bot behaviour was deﬁned through a ﬁnite state machine based on the veriﬁcation of the environment and decision making. From the experiments results analyses, it is possible to conclude that as important as the behaviour of the bots, is the interaction of this with the environment, which plays a fundamental role in the question of player experience and the believability related to immersion into the battle scenario.
Behavioural Analysis of Mobile Web Users

As smartphones become the predominant devices for accessing the web, understanding how individuals express their interests and interact with the web can have a great impact on several domains ranging from customer services to marketing and public policy. However, in order to better understand the web surfing behaviour and interests of mobile network subscribers, we need to look beyond the classic analytics that are based on location, internet usage and social networks. A more granular view of user behaviour and interests can be achieved by including more advanced analytics based on the content that the users are engaging with. In this paper we present a novel mobile web content analytics platform, HeyStaks, with the goal of filling the gap of granular content analysis for mobile user behavioural analytics.