Miracle-dz/UniFAR-FTUs huggingface dataset:
The Fornax 3D project: dust mix and gas properties in the centre of early-type galaxy FCC 167

Galaxies continuously reprocess their interstellar material. We can therefore expect changing dust grain properties in galaxies that have followed different evolutionary pathways. Determining the intrinsic dust grain mix of a galaxy helps in reconstructing its evolutionary history. Early-type galaxies occasionally display regular dust lanes in their central regions. Owing to the relatively simple geometry and composition of their stellar bodies, these galaxies are ideal to disentangle dust mix variations from geometric effects. We therefore modelled the various components of such a galaxy (FCC 167). We reconstructed its recent history and investigated the possible fate of the dust lane. Observations from MUSE and the Atacama Large Millimeter/submillimeter Array (ALMA) reveal a nested interstellar medium structure. An ionised-gas disc pervades the central regions of FCC 167, including those occupied by the main dust lane. Inward of the dust lane, we also find a disc/ring of cold molecular gas where stars are forming and HII regions contribute to the ionised-gas emission. Further in, the gas ionisation points towards an active galactic nucleus and the fuelling of a central supermassive black hole from its surrounding ionised and molecular reservoir. Observational constraints and radiative transfer models suggest the dust and gas are distributed in a ring-like geometry and the dust mix lacks small grains. The derived dust destruction timescales from sputtering in hot gas are short, and we conclude that the dust must be strongly self-shielding and clumpy or will quickly be eroded and disappear. Our findings show how detailed analyses of individual systems can complement statistical studies of dust-lane ETGs.
Evaluation of the efficiency of two fasteners used in the preservation of the testicular parenchyma

P. R. Silva Santos; P. A. Cardoso Luz; C. Andrighetto and A. C. Assis Neto FMVZ, Departamento de Cirurgia, Programa de Pos-graduacao em Anatomia dos Animais Domesticos e Silvestres, Universidade de Sao Paulo – USP; Av. Prof. Dr. Orlando Marques de Paiva 87, 05508-270, Sao Paulo, Brasil. *Corresponding author: pauloramos@usp.br UNESP, Faculdade de Zootecnia, Universidade Estadual Paulista “Julio de Mesquita Filho” Campus de Dracena; Rod. Cmte Joao Ribeiro de Barros km 651, 17900-000, Dracena, Brasil.
S/elective belonging: how rural newcomer families with children become stayers

Rural stayers are often defined as people who have never left their rural home region or village. However, rural regions and villages also receive new inhabitants. This paper explores if and how newcomers become inhabitants who stay put. We do so by interviewing couples of newcomers who moved to a rural area of the Netherlands at the family formation life stage. All had moved between 5 and 10 years prior to this study. We view the process of becoming a stayer through the lens of getting attached to and identifying with the new home region. We adopt the concepts of 'elective belonging' and 'selective belonging' to explore the newcomers' actual experiences of rural place and, in turn, the ways rural newcomer families become stayers. We identify two types of stayers: children-led and convinced stayers. Both envisage a re-negotiation of staying or leaving at a later life stage (either the empty nest or old age stage). They all elected to belong to residential places in enchanted rural landscapes. But they also are selective in developing belonging to the rural. First, especially convinced stayers consciously adapt their behaviour in order to fit in the local community. Second, children-led stayers seek only to become involved in child-related activities. Third, both types of stayers identify against' certain elements of local culture and of real rural stayers. S/elective strategies of belonging are found to go hand-in-hand with processes of becoming a stayer. Moreover, s/elective belonging to the place leaves the option to 'leave in future'.
Essays on dynamic macroeconomics

This thesis uses the techniques of macroeconomic theory to answer three questions. It is divided in three chapters each focusing on one of these questions. The first chapter investigates the appropriate labor market policy response to two fundamental changes in the economy. I introduce unemployment benefits financed by a proportional payroll tax within a model of directed search on the job. I show that there exists a unique positive level of unemployment benefit which maximizes welfare of individuals. The optimal unemployment benefit level is hump-shaped as a function of the level of idiosyncratic risk. At empirically relevant levels of idiosyncratic risk, a much less generous system than in the economy without uncertainty emerges. Furthermore, the welfare costs of deviating from the optimal level are substantial, and accompanied by high unemployment rates. I also find that while the optimal generosity of the unemployment insurance system declines monotonically with the amount of aggregate risk in the economy, the welfare costs of deviating from the optimal system are rather small. Chapter two develops a small open economy model with both staggered nominal prices and wages. Then, performances of some alternative simple policy rules are compared by using the welfare loss criterion. It is shown that, firstly, the performance of domestic inflation-targeting or wage inflation-targeting is better than both CPI inflation-targeting and pegged exchange rate. Second, although the performance of simple rules depends on the degree of stickiness in prices and wages, wage inflationtargeting performs better than domestic inflation-targeting for a wide combination of wage and price stickiness. In chapter three, I develop a model with uninsurable capital-income risk and incomplete markets, and investigate the cyclical properties of the equity premium. Although the model abstracts from some common features of the business cycle model, it can generate a sizable and countercyclical equity premium. Moreover, the model generates relatively more volatile consumption, investment, and equity premium than under complete markets
Identification of antigen Ag 43 in uropathogenic Escherichia coli Dr + strains and defining its role in the pathogenesis of urinary tract infections

Urinary tract infections (UTIs) caused by uropathogenic Escherichia coli (UPEC) are amongst the most common bacterial infectious diseases in the developed world. The urovirulence of UPEC is mainly associated with the surface-exposed fimbrial adhesins and adhesins of the autotransporter (AT) family. The best studied of these proteins is antigen Ag43 mediating cell aggregation, adhesion and biofilm development as the causes of chronic UTIs. The E. coli IH11128 Dr (dra) strain of the Dr/Afa family of adhesins possesses two major surfaceexposed virulence factors: Dr fimbrial polyadhesin and DraD protein (fimbrial tip subunit or protein component of the adhesive sheath). Here, we identified for the first time, to our knowledge, the agn43 gene encoding Ag43 in the WT clinical isolate of UPEC Dr as a new virulence factor not yet tested. We also found that Dr fimbrial expression, which like Ag43 is under the control of a phase-variable mechanism, did not exclude Ag43 surface presentation. However, the presence of Dr fimbriae supported by other structures on the cell surface caused a physical neutralization of Ag43-mediated autoaggregation during in vitro growth. The fimbrial bundling further increased the distance between the adjacent Ag43 cells, thus preventing head-to-tail association between surface-exposed Ag43 subunits and their interactions with the host cells. The investigations showed that Ag43 did not act as a specific adhesin and invasin, conversely to the major virulence factors of E. coli Dr, but played significant roles in the viability and metabolic activity of bacterial cells forming biofilm, and in the survival of bacteria within invaded epithelial cells. Received 24 November 2014 Accepted 3 March 2015
Employees’ job demands–resources profiles, burnout and work engagement: A person-centred examination

The present study aimed to add to the extensive variable-centred literature on the Job Demands–Resources (JD–R) model by validating the model using a person-centred approach. A two-step cluster analysis in a sample of Flemish community employees (N = 307) showed that job demands and job resources co-occur in four job profiles: demanding (high demands, low resources), resourceful (low demands, high resources), poor (low demands and low resources) and rich (high demands and high resources) jobs. In line with the JD–R model, employees in demanding jobs evidenced the poorest well-being (high burnout and low work engagement). Resourceful as well as rich jobs were the most optimal job profiles: employees with such profiles reported the least burnout and the most work engagement. The discussion centres on the theoretical lessons learned from the differences among the job profiles, the practical importance of cluster analysis as a diagnostic tool and the presence of job resources.
Unfair allocation in a competitive setting: a self-presentational perspective

The experiments were conducted to clarify the factors affecting unfair allocation under the competition between two groups. Thirty-eight male undergraduates participated as subjects in Experiment 1 and twenty-seven in Experiment 2. In Experiment 1, each subject was told that he would be an allocator and that it would be informed in one of the four ways; only to the in-group, only to the out-group, to both, or to neither group. The subjects were asked to allocate rewards between the in-group and the out-group performer according to equity, but they allocated more rewards to the in-group performer in spite of equal performance when they were to be identified by the in-group members. Information about identification by the out-group members did not affect allocation. In Experiment 2, the subjects received information concerning the group to which each performer belonged. Being asked to use equity, the subjects leveled the rewards in unequal performance when the in-group performer did poorly. When he did well, the subjects made an equitable allocation. In both experiments, the sub-
Relativistic stars in degenerate higher-order scalar-tensor theories after GW170817

We study relativistic stars in degenerate higher-order scalar-tensor theories that evade the constraint on the speed of gravitational waves imposed by GW170817. It is shown that the exterior metric is given by the usual Schwarzschild solution if the lower order Horndeski terms are ignored in the Lagrangian and a shift symmetry is assumed. However, this class of theories exhibits partial breaking of Vainshtein screening in the stellar interior and thus modifies the structure of a star. Employing a simple concrete model, we show that for high-density stars the mass-radius relation is altered significantly even if the parameters are chosen so that only a tiny correction is expected in the Newtonian regime. We also find that, depending on the parameters, there is a maximum central density above which solutions cease to exist.
Board Characteristics and R&D Investment: Evidence from Taiwan's Electronics Industry

This study investigates the effects of board characteristics on R&D investment by utilizing a data set of electronics firms listed on the Taiwan Stock Exchange Corporations. The empirical results indicate that R&D investment is negatively associated with board size and positively associated with directorsâ€™ education level. The impact of board meeting frequency on R&D investment is positive, but not significant. The findings provide one important managerial implication that firms competing on innovation through R&D spending may consider having a smaller board or giving considerable weight to the nomination of highly educated directors to the board.
Situational aspects are more important in shaping proactive coping behaviour than individual characteristics: A vignette study among adults preparing for ageing

It seems likely that proactive coping is an important mechanism for dealing successfully with threats to personal goals, yet little empirical research has been conducted in relation to this concept. The aim of the present study is to examine to what extent proactive coping is influenced by situation-specific features as well as by personal characteristics. Three vignettes, each representing a potential decline in an important resource (health, social relationships and finance), were presented to 123 adults between 50 and 70 years old. Multilevel analyses show that proactive coping is highly variable within persons and that three situational factors (type of stressor, appraised threat and appraised control) affected the employment of proactive coping strategies. Future temporal orientation was identified as a significant, positive predictor of proactive coping, but none of the other personal factors were found to be relevant.
Government Spending in a New Keynesian Endogenous Growth Model

Standard New Keynesian models cannot generate the widely observed result that private consumption is crowded in by government spending. We use a New Keynesian endogenous growth model with endogenous labour supply to analyse this phenomenon. The presence of small direct productivity effects of government spending as well as Calvo pricing and a Taylor monetary policy rule significantly enhance the growth rate effect of temporary government spending. The resulting model can explain the consumption crowding-in phenomenon for realistic parameter values. We also find plausible values for the government spending multiplier.
THE CARDIOVASCULAR EFFECTS OF MIDAZOLAM CO-INDUCTION TO PROPOFOL FOR INDUCTION IN GERIATRIC PATIENTS

BACKGROUND: The aim of the study was to investigate whether a small dose of midazolam and lessening the propofol dosage could prevent the cardiovascular change at tracheal intubation for induction in geriatric patients. METHODS: ninety patients over 65 (ASA physical status 1, 2) scheduled for elective surgery received general anaesthesia with fentanyl and propofol or midazolam. Patients in group P (n= 45) were induced with 0.9% NaCl 0.03 ml /kg, propofol 1.2 mg/kg and fentanyl. Patients in group MP (n= 45) were induced with midazolam 0.03 mg/ kg, propofol 0.8 mg/kg and fentanyl. The time taken to reach loss of consciousness (LOC). After LOC 0.5 mg/kg of atracurium was given and tracheal intubation was performed. The mean blood pressure (MBP) and heart rate (HR) were recorded were induction as the base value, before intubation, immediately post intubation and 3 minutes after intubation. RESULT: compared with the base values, MBP at before intubation and # minutes after intubation was significantly decreased in group P and group MP (P <0.05). compared with group P, the decrease of MBP was significantly less at before intubation, immediately after intubation and 3 minutes after intubation in group MP (P<0.05). The time taken to reach LOC was significantly decreased in group MP compared with that in group P (P<0.05). There was no significant difference of HR at any time between the two groups. CONCLUSION: co-induction with midazolam and propofol could prevent a marked BP decrease at tracheal intubation for induction in geriatric patients.
The Effects of Country of Origin and Consumer Ethnocentrism on Product Evaluation: Evidences from Egypt

This study aims to examine the effects of Country of Origin (COO) and Consumer Ethnocentrism (CE) on product evaluation in Egypt. For this purpose, the authors selected two tea products, one locally produced and the other imported from Britain. Data were collected from citizens living in Cairo and its suburbs during May-June 2017 and entered into SPSS 20 program. First, the authors verified the internal consistency of study constructs by applying a reliability test (Cronbach’s alpha) and described the socio-demographic profile of the sample. Then, the authors used many statistical technics to analyze data such as paired samples t-test and factor analysis. Finally, linear regression was used to test the research hypotheses. Although many previous studies have confirmed that COO is a tridimensional concept: cognitive, affective and conative, our study showed that Egyptians aggregate these three components to configure a general judgment of imported product country. Then, COO can be used as a predictor of imported product quality. Our study also proved that Egyptians, despite their strong ethnocentrism, measured by CETSCALE, base their evaluation of the domestic product on factors such as: price, familiarity and convenience. The choice of imported product is based on other factors such as: health, natural content, mood, ethical concerns and sensory appeal. Keywords: Country of Origin, Consumer Ethnocentrism, Product Evaluation.
Hiding Circuit Components Using Boundary Blurring Techniques

Protecting circuitry from reverse engineering is extremely important for critical technologies. When systems designed for security become compromised, millions of dollars and countless labor hours may be required for redesigning new protection circuitry. Similarly, an organization using reverse engineering techniques for reproducing systems can do so with significantly lower costs. Component identification is an essential step to reverse engineering. Techniques which increase the necessary time for discovering circuit components, and in turn delay or even defeat component identification, increase the level of circuit protection against reverse engineering and other adversarial attacks. In this paper, we discuss our Java based component identification tool implementation. We also introduce two component hiding algorithms and show they effectively defeat component identification.
Assessments under the United Nations Sustainable Development Goals: A Bibliometric Analysis

Abstract The United Nations announced its 2030 Agenda for Sustainable Development worldwide in 2015. Comprehensive assessments of member states’ performance towards achieving the related UN Sustainable Development Goals (SDGs) have since become a major challenge for national and subnational governments. This article presents a bibliometric analysis on the assessment of SDGs, at both the general and specific levels, based on 418 publications obtained from Scopus. The general level of analysis includes the number, types, and subject areas of documents published each year, as well as considerations such as the most-cited publications and the leading authors, journals, countries, institutional affiliations, and funders. The specific level of analysis includes a study of the relevant concepts in the publications and their relationships, allowing for the identification of predominant assessments under the 2030 Agenda, and of the most-often evaluated SDGs. Results indicated a focus on measuring impacts and risks, with SDGs 3, 6, 13, 7, 8, and 4 having been assessed the most often among the 17 SDGs, which is consistent with findings in prevalent subject areas such as environmental sciences, social sciences, medicine, and energy. Future works should address assessments under the 2030 Agenda more comprehensively, including analyses on trade-offs among the SDGs and on the transversal nature of some of these goals.
Succession in agricultural households: A probit and a competing risk analysis

The present study examines family and farm characteristics affecting the choice and the timing of intergenerational farm transfers. Using survey data which are linked to accounting data for 272 farms in Northern Germany, we use a probit approach to examine whether specific farm and family characteristics are related to the likelihood of succession within a given period. We go beyond the existing literature by applying a competing risk approach to study the process and thus the timing, respectively of the two competing events - succession or exit from farming. We find that farm characteristics significantly influence succession considerations to the extent that they affect the value of the farm for the potential successor.
Another Brick O ↵ the Wall : Deconstructing Web Application Firewalls Using Automata Learning

We tackle the problem of analyzing filter and sanitizer programs remotely, i.e. given only the ability to query the targeted program and observe the output. We focus on two important and widely used program classes: regular expression (RE) filters and string sanitizers. We demonstrate that existing tools from machine learning that are available for analyzing RE filters, namely automata learning algorithms, require a very large number of queries in order to infer real life RE filters. Motivated by this, we develop the first algorithm that infers symbolic representations of automata in the standard membership/equivalence query model. We show that our algorithm provides an improvement of x15 times in the number of queries required to learn real life XSS and SQL filters of popular web application firewall systems such as mod-security and PHPIDS. Active learning algorithms require the usage of an equivalence oracle, i.e. an oracle that tests the equivalence of a hypothesis with the target machine. We show that when the goal is to audit a target filter with respect to a set of attack strings from a context free grammar, i.e. find an attack or infer that none exists, we can use the attack grammar to implement the equivalence oracle with a single query to the filter. Our construction finds on average 90% of the target filter states when no attack exists and is very effective in finding attacks when they are present. For the case of string sanitizers, we show that existing algorithms for inferring sanitizers modelled as Mealy Machines are not only inefficient, but lack the expressive power to be able to infer real life sanitizers. We design two novel extensions to existing algorithms that allow one to infer sanitizers represented as single-valued transducers. Our algorithms are able to infer many common sanitizer functions such as HTML encoders and decoders. Furthermore, we design an algorithm to convert the inferred models into BEK programs, which allows for further applications such as cross checking different sanitizer implementations and cross compiling sanitizers into different languages supported by the BEK backend. We showcase the power of our techniques by utilizing our black-box inference algorithms to perform an equivalence checking between different HTML encoders including the encoders from Twitter, Facebook and Microsoft Outlook email, for which no implementation is publicly available.