Miracle-dz/UniFAR-FTUs huggingface dataset:
Dark-ages Reionization and Galaxy formation simulation – I. The dynamical lives of high-redshift galaxies

We present the Dark-ages Reionization and Galaxy-formation Observables from Numerical Simulations (DRAGONS) program and Tiamat, the collisionless N-body simulation program upon which DRAGONS is built. The primary trait distinguishing Tiamat from other large simulation programs is its density of outputs at high redshift (100 from z=35 to z=5; roughly one every 10 Myr) enabling the construction of very accurate merger trees at an epoch when galaxy formation is rapid and mergers extremely frequent. We find that the friends-of-friends halo mass function agrees well with the prediction of Watson et al. at high masses, but deviates at low masses, perhaps due to our use of a different halo finder or perhaps indicating a break from "universal" behaviour. We then analyse the dynamical evolution of galaxies during the Epoch of Reionization finding that only a small fraction (~20%) of galactic halos are relaxed. We illustrate this using standard relaxation metrics to establish two dynamical recovery time-scales: i) halos need ~1.5 dynamical times following formation, and ii) ~2 dynamical times following a major (3:1) or minor (10:1) merger to be relaxed. This is remarkably consistent across a wide mass range. Lastly, we use a phase-space halo finder to illustrate that major mergers drive long-lived massive phase-space structures which take many dynamical times to dissipate. This can yield significant differences in the inferred mass build-up of galactic halos and we suggest that care must be taken to ensure a physically meaningful match between the galaxy-formation physics of semi-analytic models and the halo finders supplying their input.
POSSIBILITIES FOR USING LIDAR AND PHOTOGRAMMETRIC DATA OBTAINED WITH AN UNMANNED AERIAL VEHICLE FOR LEVEE MONITORING

Abstract. This paper presents the possibilities for using an unmanned aerial system for evaluation of the condition of levees. The unmanned aerial system is equipped with two types of sensor. One is an ultra-light laser scanner, integrated with a GNSS receiver and an INS system; the other sensor is a digital camera that acquires data with stereoscopic coverage. Sensors have been mounted on the multirotor, unmanned platform the Hawk Moth, constructed by MSP company. LiDAR data and images of levees the length of several hundred metres were acquired during testing of the platform. Flights were performed in several variants. Control points measured with the use of the GNSS technique were considered as reference data. The obtained results are presented in this paper; the methodology of processing the acquired LiDAR data, which increase in accuracy when low accuracy of the navigation systems occurs as a result of systematic errors, is also discussed. The Iterative Closest Point (ICP) algorithm, as well as measurements of control points, were used to georeference the LiDAR data. Final accuracy in the order of centimetres was obtained for generation of the digital terrain model. The final products of the proposed UAV data processing are digital elevation models, an orthophotomap and colour point clouds. The authors conclude that such a platform offers wide possibilities for low-budget flights to deliver the data, which may compete with typical direct surveying measurements performed during monitoring of such objects. However, the biggest advantage is the density and continuity of data, which allows for detection of changes in objects being monitored.
On the application of Grey relational analysis and RIDIT analysis to Likert scale surveys

Likert scale is one of the most frequently used measures in social sciences to gather data on attitudes, perceptions, values, intentions, habits and behaviour changes. This paper illustrates two methods, i.e. grey relational analysis and RIDIT analysis, which can be used to analyse data from Likert scale surveys. It is found that the results derived from applying the aforementioned methods are very much consistent with each other. Characteristics of the two methods and guidelines for choosing between the two for data analysis are also discussed in this paper. Mathematics Subject Classification: 62P25
Some complexities in computerbased systems and their implications for system development

Mastering complexity is central to the software development task, and separation of concerns is the chief tool. An informal framework is proposed within which concerns may be identified. An example of a completely simple system is given, and some sources and cases of complexity are considered with respect to the framework. Implications for software development method are discussed. <<ETX>>
Süt ve Süt Ürünleri Tüketiminde Tüketici Tercihlerini Etkileyen Faktörler: Erzincan İli Örneği

Bu calismanin amaci, ilceleri dâhil olmak uzere Erzincan ilinde ailelerin sut ve sut urunleri tuketim aliskanliklarini belirlemek ve bu tuketimi etkileyen demografik ve sosyo-ekonomik faktorler ile tuketicilerin sut ile ilgili on yargilarini saptamaktir. Ayrica, Erzincan Tulum Peynirinin ilde ne derece tercih edildiginin belirlenmesi amaclanmistir. Sut, peynir ve yogurt tuketimi sirasi ile %91,3, %76,9 ve %89,7 oranlarinda en fazla sigir turunde tercih edilmistir. Egitim durumunun tuketilen peynir turu uzerinde istatistiki olarak onemli etkisi tespit edilmistir. Tuketicilerin koyun sutunden yapilan urunleri tercih etmeme nedenlerinin basinda %57 ile koku problemi gelmektedir. Calismada tuketicilerin %40’i beyaz peynir, %28’i Erzincan Tulum Peyniri, %16’si cokelek ve %12’si kasar peyniri, tercih etmistir. Satin alinan cig sutun %69,9’u sokak saticilari-dogrudan uretici ve %30,1’i ise pastorize-UHT sut olarak alinmaktadir. Bu durum sut uretimi ve tuketiminin kayit altina alinmasini zorlastirmaktadir. Tarimsal uretimde endustrilesmenin saglanmasi ile bu problemin cozulecegi umit edilmektedir.
The Effect of Group Couseling Program for Developing Self-Efficacy to Adversity Quotient in Real Time Company Jitsupang Jutavitaya, Srinakharinwirot University, Thailand

The objectives of this research were to examine the effects of a group counseling program to develop self-efficacy and adversity quotient of employees in real time company. The Quasi Experimental Research design was used in this research. The sample was a group of employees of Shop Global (Thailand) Co., Ltd., which is a 193 employee-real time company. It was divided into experimental group (n=8) and control group (n=8) which consisted of 4 women and 4 men in each group. They participated in the group counseling program for 10 sessions (1 hour 30 minutes to 2 hours per session) for 1 month and 1 week (total 20 hours). The developing selfefficacy and adversity quotient in real time company group counseling program and self-efficacy and adversity quotient test were used as research instruments and the Dependent – Sample t – test Independent Sample t – test, the mean, the standard deviation were used as analytical instruments. The result of this research showed that 1) the sample in experimental group who participated in the group counseling program could develop self-efficacy and adversity quotient more than those in the control group who did not participate in the program at a significance level of . 01 2) after participating in the group counseling program, the sample could develop self-efficacy and adversity quotient more than before at a significance level of . 01 3) the sample in experimental group could develop self-efficacy more after participating in the group counseling program for 5 weeks at a significance level of . 01 4) the sample in experimental group who participated in the group counseling program for 5 weeks could develop self-efficacy more than those in control group who did not participate in the program at a significance level of . 01
Newton Correction Methods for Computing Real Eigenpairs of Symmetric Tensors

Real eigenpairs of symmetric tensors play an important role in multiple applications. In this paper we propose and analyze a fast iterative Newton-based method to compute real eigenpairs of symmetric tensors. We derive sufficient conditions for a real eigenpair to be a stable fixed point for our method and prove that given a sufficiently close initial guess, the convergence rate is quadratic. Empirically, our method converges to a significantly larger number of eigenpairs compared with previously proposed iterative methods, and with enough random initializations typically finds all real eigenpairs. In particular, for a generic symmetric tensor, the sufficient conditions for local convergence of our Newton-based method hold simultaneously for all its real eigenpairs.
Acid and Base Catalyzed Transesterification of Animal Fats to Biodiesel

The present study has been focused on the acid and base transesterification of animal fats (dairy cow and beef) to produce biodiesel by varying process parameters such as catalyst amount, catalyst nature, reaction time and temperature. The maximum biodiesel yield after acid catalysis was 94.1 ± 2.43 and 98.4 ± 2.3 percent for dairy cow and beef tallow, respectively. The quantity of biodiesel obtained after base catalysis was comparatively lower than obtained in case of the acid catalysis. The optimum conditions for biodiesel production using acid catalysis were: 2.5 g of conc. H2SO4, 24 h of reaction time and 50 °C for dairy cow fat and 2.5 g of conc. H2SO4, 6 h of reaction time and 60 °C for beef fat. The amount of biodiesel obtained from beef tallow in the present study was much higher than earlier reported yields. The evaluation of transesterification process was followed by gas chromatographic analysis of tallow fatty acid esters (biodiesel) at optimal conditions. The fuel properties of biodiesel thus obtained accomplished the requirements of both the American and European standards for biodiesel.
Modelling feedbacks between human and natural processes in the land system

Abstract. The unprecedented use of Earth's resources by humans, in combination with increasing natural variability in natural processes over the past century, is affecting the evolution of the Earth system. To better understand natural processes and their potential future trajectories requires improved integration with and quantification of human processes. Similarly, to mitigate risk and facilitate socio-economic development requires a better understanding of how the natural system (e.g. climate variability and change, extreme weather events, and processes affecting soil fertility) affects human processes. Our understanding of these interactions and feedback between human and natural systems has been formalized through a variety of modelling approaches. However, a common conceptual framework or set of guidelines to model human–natural-system feedbacks is lacking. The presented research lays out a conceptual framework that includes representing model coupling configuration in combination with the frequency of interaction and coordination of communication between coupled models. Four different approaches used to couple representations of the human and natural system are presented in relation to this framework, which vary in the processes represented and in the scale of their application. From the development and experience associated with the four models of coupled human–natural systems, the following eight lessons were identified that if taken into account by future coupled human–natural-systems model developments may increase their success: (1) leverage the power of sensitivity analysis with models, (2) remember modelling is an iterative process, (3) create a common language, (4) make code open-access, (5) ensure consistency, (6) reconcile spatio-temporal mismatch, (7) construct homogeneous units, and (8) incorporating feedback increases non-linearity and variability. Following a discussion of feedbacks, a way forward to expedite model coupling and increase the longevity and interoperability of models is given, which suggests the use of a wrapper container software, a standardized applications programming interface (API), the incorporation of standard names, the mitigation of sunk costs by creating interfaces to multiple coupling frameworks, and the adoption of reproducible workflow environments to wire the pieces together.
THE FORECASTING ABILITY OF A COINTEGRATED VAR DEMAND SYSTEM WITH ENDOGENOUS VS . EXOGENOUS EXPENDITURE VARIABLE

This paper uses Sims’s VAR methodology, as an alternative to Deaton and Muellbauer’s AIDS approach, to establish the long-run relationships between I(1) variables: tourism shares, tourism prices and UK tourism budget. The VAR deterministic components and sets of exogenous and endogenous variables are established, and the Johansen’s rank test is used to determine the cointegrated vectors in the system. The structural form of the cointegrated VAR is identified and the long-run parameters are estimated under several theoretical restrictions. The restricted cointegrated VAR reveals itself a theoretically consistent and statistically robust means to analyse the long-run demand behaviour of UK tourists and an accurate forecaster of the destinations’ shares.
CHALLENGE-STRESS AND HINDRANCE-STRESS IN THE SOUTHEAST ASIAN HOTEL SECTOR

The hospitality industry is an entity that is continuously determined by varying new demands and the needs of its customers. This ever-changing and complex working environment has caused and become a source of stress for the hospitality industries’ workforce. Workplace stress is increasing from year to year and has become a focus of research interest in recent years. Responding to the demands of management who require a more precise understanding of the issues of workplace stress, researchers have conducted studies on a total of 115 respondents from a 3 star-hotel and a 4 star-hotel. The personnel involved came from the food and beverage departments, room services and the front offices, whose daily routines involved direct face to face serving activities and fulfilling their customers’ demands. Using the Statistical Package for Social Science (SPSS) version 19.0 and AMOS version 18.0, the results of Exploratory Data Analysis (EFA) and Confirmatory Data Analysis (CFA) have confirmed that there are two stress factors, namely challenge stress and hindrance stress. Both of these stress factors have a significantly negative relation to one another. Understanding these dimensions in detail can help the hospitality organizations to be well prepared for the task of motivating their employees. Keywords: challenge-stress, hindrance-stress, service, Southeast Asia, hotel
Improving aircraft-derived temperature observations using data assimilation

Meteorological observations are very important for weather forecasting; one potential source of observations is commercial aircraft. Commercial aircraft transmit Mode Selective Enhanced Surveillance (Mode-S) reports, which include data about the aircraft’s ground speed and magnetic heading, but the reports do not include temperature readings. Instead, the Mach number and airspeed can be used to derive the temperature. However, to transmit the Mode-S report the precision in the Mach number and airspeed is reduced from 16 bits to 10 bits. This reduction in precision creates errors in the Mach number and airspeed, which in turn translate to errors between 4–7 K and 3–5 K respectively, in the derived temperature. These large errors may limit the use of these observations for weather forecasting. This paper investigates if optimal interpolation, a type of data assimilation, can be used to combine aircraft data with atmospheric model data to provide a better estimate of the temperature-derived observations. We find that optimal interpolation can reduce the standard deviation of the derived temperature observations to 1.12 K; however, this is too large to be used with numerical weather prediction where a standard deviation of 1.0K is required.
Methods and tools to support real time risk-based flood forecasting - a UK pilot application

Flood managers have traditionally used deterministic models to assess potential flood risk. This risk information has been widely available for strategic planning, but restrictions on input data and simulation times have meant that information on the risk of flooding has not been available for operational flood forecasting purposes. In practice, however, the operational flood manager has probabilistic questions to answer, which are not completely supported by the outputs of traditional, deterministic flood forecasting systems. In a collaborative approach, HR Wallingford and Deltares have developed methods, tools and techniques to extend existing flood forecasting systems with elements of strategic flood risk analysis, including probabilistic failure analysis, two dimensional flood spreading simulation and the analysis of flood impacts and consequences. This paper presents the results of the application of these new operational flood risk management tools to a pilot catchment in the UK. It discusses the problems of performing probabilistic flood risk assessment in real time and how these have been addressed in this study. It also describes the challenges of the communication of risk to operational flood managers and to the general public, and how these new methods and tools can provide risk-based supporting evidence to assist with this process.
Dispositional Mindfulness and Attentional Control: The Specific Association Between the Mindfulness Facets of Non-judgment and Describing With Flexibility of Early Operating Orienting in Conflict Detection

Background: A state of mindfulness refers to a present-centered attentional awareness without judging. Being mindful seems to increase the ability to be flexible and adaptive in attention focus according to situational contingencies. The way mindfulness affects such attentional control is often measured with three different but interacting attentional networks of alerting (preparedness), orienting (selection of stimulus), and conflict detection (suppression of irrelevant stimuli). In the current study, the aim was to study the effects of dispositional mindfulness on these attention networks, and specifically the effects on the interactions between these attention networks. Methods: Fifty participants between 19 and 29 years old filled out the questionnaire Five Facet Mindfulness Questionnaire (FFMQ) and performed the revised version of the Attention Network Test (ANT-R). The five FFMQ facets of Describing, Non-Judgment, Orienting, Non-Reactivity, and Acting with Awareness were included as predictors in multiple linear regression analyses with the ANT-R scores of alerting, orienting, conflict detection, and the interaction scores of alerting by conflict detection and orienting by conflict detection as outcome variables, respectively. Results: Higher dispositional mindfulness as measured with the five FFMQ facets predicted interaction scores (faster reaction times) of orienting by conflict detection, but none of the other ANT-R scores. It was specifically the FFMQ facets of Describing and non-judgment that predicted this lower interaction score of orienting by conflict detection. Conclusion: Our findings indicate that being mindful is associated with a more flexible and efficient orienting attention. It is associated with a higher ability to disengage from salient stimuli that is irrelevant to pursue goal-directed behavior (conflict detection).
How to Fill the Digital Gap? The (Limited) Role of Regulation

This paper provides evidence on the migration from an “old” technology to a “new” technology, taking into account the impact that regulatory interventions on the old one might have on the incentives to invest and adopt the new one. This analysis has been applied to a sample of EU27 countries using panel data from 2004 to 2014 on the adoption, coverage and take-up rate of ultra-fast broadband infrastructures, whose development is one of the flagship initiatives of the Europe 2020 programmes. Results show that a 1% increase in the regulated price to access the old technology increases the adoption and the investment on the new broadband technology by ~0.45% and ~0.47%. These effects are not homogeneous across countries and are weakened in Eastern European countries, where the existing old broadband infrastructures are less developed than in the rest of Europe. It has also been shown that the access price to old networks negatively affects the take-up rate of the new technology-based services, thus calling for the need of more specific and complementary demand side policy incentives to enhance service adoption
Measuring Information Skills among Malaysian Youth Students: An Instrument Development

This article described the development and testing of a research instrument, known as Information Skills Instrument which was designed to measure youth students’ abilities to search, access and use information from multiple sources in the context of academic works. The instrument was inductively developed from a literature review and tested with a sample of Malaysian school and college students. Principal Component Analysis was used to examine the dimensionality and Cronbach’s alpha was employed to estimate internal consistency of the developed instrument. The final instrument consists of 22 items and reveals five factors; identifying potential information sources; using information from multiple sources; identifying information needs, and identifying types of information sources. Cronbach’s alpha was . 871 for the total instrument and . 806 to . 463 for subscales. The study showed that Principal Component Analysis could assist the development and refinement process of final information skills instrument which requires further testing with other youth students.
Influence de la localisation des maladies inflammatoires chroniques de l ’ intestin sur l ’ efficacité du Védolizumab : une étude multicentrique

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Influence of disease location on Vedolizumab effectiveness in inflammatory bowel diseases: a real-life multicenter experience Sandie Pestour