Miracle-dz/UniFAR-FTUs huggingface dataset:
Fluid analogs for rotating black holes

Fluid analog models for gravity are based on the idea that any spacetime geometry admits a reinterpretation in which space is thought of as a fluid flowing with a prescribed velocity. This fluid picture is a restatement of the ADM decomposition of the metric. Most of the literature has focused on flat spatial geometries and physical fluid flows, with a view toward possible laboratory realizations. Here we relax these conditions and consider fluid flows on curved and time-dependent spatial geometries, as a way of understanding and visualizing solutions to general relativity. We illustrate the utility of the approach with rotating black holes. For the Kerr black hole we develop a fluid description based on Doran coordinates. For spinning BTZ black holes we develop two different fluid descriptions. One involves static conical spatial slices, with the fluid orbiting the tip of the cone. The other resembles a cosmology, with the fluid flowing on a time-dependent cylindrical geometry.
A Quantitative Measurement Model for Persuasive Technologies Using Storytelling via a Virtual Narrator

ABSTRACT The study of persuasive techniques associated with technology is an important part of behavioral change research in information systems. Applied in areas such as education and healthcare, persuasive messages usually contain guidelines the users must follow in order to reach the targeted new behavior. We are studying the use of storytelling and virtual reality as persuasive methods. Those two techniques appear in several studies, together or separately. We base our study on an analysis of the current literature and a two steps survey combining 528 participants with valid responses. A factor analysis allowed us to develop a model measuring the persuasive effectiveness of storytelling via virtual narrator. This model is based on 31 items and 5 components. In addition, we are also presenting a questionnaire, with specific scoring guidelines, which can be used in any study using storytelling via virtual entity as mean of persuasion.
An investigation on the influence of support type for Ni catalysed vapour phase hydrogenation of aqueous levulinic acid to γ-valerolactone

Ni (20 wt%) supported on SiO2, γ-Al2O3 and ZrO2 catalysts was examined for hydrogenation of aqueous levulinic acid (LA) to γ-valerolactone (GVL) at 270 °C and ambient pressure. The band intensities of Bronsted (BAS: 1540 cm−1) and Lewis acid sites (LAS: 1450 cm−1) estimated by pyridine adsorbed DRIFT spectra revealed a lower ratio of BAS/LAS over the Ni/SiO2 catalyst than over the Ni/ZrO2 and Ni/γ-Al2O3 catalysts. The rate of angelica lactone (AL) formation was lower than the rate of AL hydrogenation over the Ni/SiO2 catalyst. The poisoning and regeneration of the Ni/SiO2 catalyst using pyridine and 2,6-dimethylpyridine demonstrated that Lewis acid sites influenced the conversion of LA to AL and subsequent hydrogenation of AL to GVL occurred on surface Ni sites. In contrast, Bronsted acid sites were responsible for the ring opening of GVL to valeric acid (VA). Kinetic data emphasized that the hydrogenation activity and product distribution were dependent on the type of acid site, and the Ni sites in close proximity to Bronsted acid sites are prone to hydrogenolysis of GVL to valeric acid and hydrocarbons.
University of Dundee Argumentation Theory for Mathematical

To adequately model mathematical arguments the analyst must be able to represent the mathematical objects under discussion and the relationships between them, as well as inferences drawn about these objects and relationships as the discourse unfolds. We introduce a framework with these properties, which has been used to analyse mathematical dialogues and expository texts. The framework can recover salient elements of discourse at, and within, the sentence level, as well as the way mathematical content connects to form larger argumentative structures. We show how the framework might be used to support computational reasoning, and argue that it provides a more natural way to examine the process of proving theorems than do Lamport’s structured proofs.
Radiation reaction studies in an all-optical set-up: experimental limitations

The recent development of ultra-high intensity laser facilities is finally opening up the possibility of studying high-field quantum electrodynamics in the laboratory. Arguably, one of the central phenomena in this area is that of quantum radiation reaction experienced by an ultra-relativistic electron beam as it propagates through the tight focus of a laser beam. In this paper, we discuss the major experimental challenges that are to be faced in order to extract meaningful and quantitative information from this class of experiments using existing and near-term laser facilities.
A comparative study of the ARM and Isr of some natural magnetites of MD and PSD grain size

Summary. ARM and Isr stability with respect to alternating field and low-temperature treatment were measured for a set of artificial rock specimens. Each of the specimens contained a known amount of a natural magnetic mineral of a known grain size. The following minerals were used: a homogeneous natural magnetite, a natural titanomagnetite with submicroscopic Fe-rich inclusions, and a natural titanomagnetite and a natural titano-maghemite that both show exsolution phenomena. The grain size of the fractions varied from < 5 to 250 μm. It is found that the stability of ARM and Irs of multi-domain grains with respect to alternating fields and low-temperature treatment is similar, whereas for the smallest grains studied (< 5 μm) ARM is more stable than Isr. Multi-domain ARM data from this study are in agreement with current multi-domain ARM theory. Low-temperature behaviour of ARM and Isr can be explained either in terms of a model in which stable moments in the bulk of the grains are screened by the surrounding matrix or in terms of a model in which regeneration of the bulk remanence plays a role and in which stable moments are situated on the surfaces of the grains.
A needs analysis approach: an investigation of clothing for women with chronic neurological disorders

ABSTRACT The purpose of the study was to investigate the clothing needs assessment of women with SCI and MS as chronic neurological disorders, using the application of the Functional, Expressive, and Aesthetic (FEA) Consumer Needs Model to collect suitable design ideas that reflect end-users’ true preferences and desires for adaptive clothing. Data were collected from the three different groups ((a) six health professionals, (b) six caregivers/family members of patients, and (c) six female patients) through individual interviews to identify the needs. Overall, all participants perceived that adaptive clothing should be improved to meet the needs of the wearers. Consequently, improving the functionality and aesthetics of adaptive clothing would boost the wearer’s mood and assist her in expressing her individuality and normality like everybody else.
Space and Society in Central Brazil

Hailed once as ‘giants of the Amazon’, Panará people emerged onto a world stage in the early 1970s. What followed is a story of socio-demographic collapse, loss of territory, and subsequent recovery. Reduced to just 79 survivors in 1976, Panará people have gone on to recover and reclaim a part of their original lands in an extraordinary process of cultural and social revival. Space and Society in Central Brazil is an ethnographic account in which analytical approaches to social organisation are brought into dialogue with Panará social categories and values as told in their own terms. Andreza de Souza Santos finds that this book will appeal to students, scholars and anyone interested in the complex lives and histories of indigenous Amazonian societies.
Fabrication by Electrospinning Technique and Characterization of Curcuma Mangga Val Reinforced PVA Fibrous Membranes

Antimicrobial and anti-diabetic of Curcuma mangga Val properties have attracted research interest. Curcuma mangga Val extract (CME) and poly (vinyl alcohol) (PVA) were blended and fabricated to the fibrous membranes by the electrospinning method. The effects of CME concentration on the fiber morphology and tensile properties of CME/PVA membranes are the goal of the current study. Scanning electron microscopy (SEM) of the membranes revealed bead-free fibers with straightly/continuously orientation formed in all CME/PVA membranes. The average fiber diameter increased from 186 nm to 297 nm, with the CME concentration from 0 to 3 wt. %, respectively. The addition of 1% CME resulted in a relatively high tensile strength of 24.96 ± 0.20 MPa, which is the highest among the CME/PVA membrane specimens. However, very high tensile modulus and low elongation showed in these results lead to reducing the functionality of the CME/PVA fibrous membrane due to the brittleness. The CME properties may contribute to those shortages.
Does Rural–Urban Migration Improve Employment Quality and Household Welfare? Evidence from Pakistan

Urban migration unlocks new employment opportunities for rural dwellers in a productive manner. This study assessed the quality of employment of migrant workers, and its effect on rural households’ welfare. To this end, we used primary data collected from the four major districts of Lahore, Gujranwala, Faisalabad, and Sialkot in Punjab, Pakistan. These data include 504 immigrant and non-immigrant families in rural areas, and 252 migrant workers in urban destinations. We use IV probit and two-step sequential estimation methods for the empirical analysis. The study provides new insights for migration in Pakistan. First, migrant workers are better off in their new urban settings in terms of improved incomes and living conditions, but their social protection status is still poor. Second, the results of the employment quality models show that migration is a successful strategy for rural households to improve the quality of their employment. In addition, the characteristics of migrants and native households affect the relative improvement in the quality of employment and migrants’ conditions. Third, the results of the propensity score matching technique suggest that migration has a positive impact on rural households’ income, and these impacts are more pronounced in large cities. Based on the findings, the study recommends that the government should invest in quality education in rural areas, and ensure that social security schemes are provided for migrant workers in urban areas.
Adrenergic activation modulates the signal from the Reissner fiber to cerebrospinal fluid-contacting neurons during development

The cerebrospinal fluid (CSF) contains an extracellular thread conserved in vertebrates, the Reissner fiber, which controls body axis morphogenesis in the zebrafish embryo. Yet, the signaling cascade originating from this fiber to ensure body axis straightening is not understood. Here, we explore the functional link between the Reissner fiber and undifferentiated spinal neurons contacting the CSF (CSF-cNs). First, we show that the Reissner fiber is required in vivo for the expression of urp2, a neuropeptide expressed in CSF-cNs. We show that the Reissner fiber is also required for embryonic calcium transients in these spinal neurons. Finally, we study how local adrenergic activation can substitute for the Reissner fiber-signaling pathway to CSF-cNs and rescue body axis morphogenesis. Our results show that the Reissner fiber acts on CSF-cNs and thereby contributes to establish body axis morphogenesis, and suggest it does so by controlling the availability of a chemical signal in the CSF.
Outrunning planning by network management in Industry 4.0 concept

You need a digital twin to solve the problem of efficient planning in Industry 4.0. It is based on the use of scientifically proved algorithms and complicated mathematical models. The current trend for the consolidation of engineering enterprises in network structures is caused by the competition in this segment of production. Those business participants, who apply the latest solutions to the support planning based on artificial intelligence systems will get the advantage. A spectral approach is presented in the problem of finding approximations of the eigenvalues of the Sturm-Leewill problem with an unknown operator. The approach is based on the spectral features of the elliptic operator of the initial-boundary objective and the method for solving the inverse spectral objective of reconstructing the Sturm-Leewill operator by two sequences of eigenvalues matching two sets of boundary conditions. The method, presented in this article can be successfully used in the objectives of optimal controlling. The obtained results are fundamental in solving the objectives of optimal controlling by evolutionary systems in networks and the analysis of network models.
Prolonged viral shedding and new mutations of COVID-19 could complicate the control of the pandemic

The studies of coronavirus disease 2019 (COVID-19) have mainly focused on epidemiological and clinical features of patients, but transmission dynamics of SARS-CoV-2 virus after patients have recovered is still poorly understood. Here we report a case with prolonged viral shedding of COVID-19 in Kaohsiung, Taiwan. This patient started to show myalgia and malaise in Wuhan, and the onset of the fever was on days 7–14 of the illness. All clinical and radiological results returned to normal after day 26, however, viral shedding was still evident 14 days later. Sequence analysis of the genome of the Taiwanese SARS-CoV-2 isolate from this patient reveals new mutations in viral replicase and ORF3a, indicating that COVID-19 evolves very quickly. Prolonged viral shedding and new mutations in the viral genome could potentially complicate the control of the COVID-19 pandemic.
Leachate Quality Characteristics and Groundwater Contamination around Active and Closed Landfills in Lagos, Nigeria

Landfilling is widely applied as a disposal method for solid wastes in most developed and developing countries. However, in many developing nations many landfills are not properly managed, and pose a serious threat to the environment due to leachate run-off. The risk of groundwater contamination by leachate is considered a significant environmental concern associated with landfilling. This study evaluated the quality characteristics of leachates from four landfills (two closed and two active landfills) in Lagos, Nigeria. The quality characteristics of groundwater samples near the landfills were also assessed. Leachate and groundwater samples were analyzed for some physicochemical properties, trace and major elements. The obtained results revealed that the total hardness in the leachates from all the landfills exceeded the regulatory limits in Nigeria. COD values in all the leachates were above the limit set by the Lagos State Environmental Protection Agency (LASEPA) which is an indication of gross organic pollution of the leachates. Generally, the concentrations of trace and major elements in the leachates were low. The presence of high concentrations of Pb in raw leachates of Abule-Egba (1.037 mg/L) and Olusoshun (1.680 mg/L) is a matter of concern because Pb is known to be one of the highly toxic environmental pollutants. Moreover, the total hardness level in groundwater near Soluos 3 landfill (190 mg/L) exceeded the limits by the Nigerian Standard for Drinking Water Quality (NSDWQ) and World Health Organization (WHO). Trace metals concentrations in the groundwater samples were generally low. Finally, the leachate quality characteristics of the closed and active landfills in this study and the associated groundwater quality characteristics did not follow any specific pattern but might have been largely influenced by the composition and type of solid wastes disposed at each of the landfill sites. Keywords: Leachate, groundwater, landfill, physicochemical characteristics, trace and major elements, Lagos
Conventional superconductivity in the type-II Dirac semimetal PdTe 2

The transition metal dichalcogenide PdTe$_2$ was recently shown to be a unique system where a type II Dirac semimetallic phase and a superconducting phase co-exist. This observation has led to wide speculation on the possibility of the emergence of an unconventional topological superconducting phase in PdTe$_2$. Here, through direct measurement of the superconducting energy gap by scanning tunneling spectroscopy (STS), and temperature and magnetic field evolution of the same, we show that the superconducting phase in PdTe$_2$ is conventional in nature. The superconducting energy gap is measured to be 326 $\mu$eV at 0.38 K and it follows a temperature dependence that is well described within the framework of Bardeen-Cooper-Schriefer's (BCS) theory of conventional superconductivity. This is surprising because our quantum oscillation measurements confirm that at least one of the bands participating in transport has topologically non-trivial character.
A NEW VISION OF THE KNOWLEDGE ECONOMY

To date, more than half of the output in the major OECD countries has been knowledge based. This paper argues, however, that the current growth-oriented exposition of the knowledge economy rooted in the conventional concept of free competition is insufficient for promoting the long-term development of human societies. Although we now live in a knowledge economy, most countries have been concurrently characterized by serious phenomena such as environmental degradation and growing economic inequality. The prospect of meeting global commitments, for instance, to reducing inequality, as outlined in the 1995 World Summit for Social Development in Copenhagen and endorsed in the United Nations Millennium Declaration, is bleak and the global society as a whole has become less and less sustainable. Indeed, the world is better seen as composed of numerous (but finite) knowledge economies. To take up the challenge of sustainable development of human societies, we have to develop a pluralistic perspective of the knowledge economy and fully acknowledge the characteristics of each unique knowledge system (such as indigenous knowledge possessed by a small tribe). Once we can help each individual knowledge system develop into a specific set of economic institutions that freely exchange concepts and beliefs with each other in a global environment, we will be able to develop a global economy that embodies a value-committed basis that assures a sustainable path of development on earth. Copyright 2007 The Author Journal compilation © 2007 Blackwell Publishing Ltd.
PERFORMANCE MEASUREMENT IN PUBLIC SPENDING: EVIDENCE FROM A NON-PARAMETRIC APPROACH

This paper employs the data envelopment analysis (DEA) method to evaluate the performance of public spending and to show how productivity has changed over time for 18 selected OECD countries during 1995 to 2002. Our analysis shows that 14 countries exhibit variable returns to scale, meaning that they could reduce technical inefficiency through internal scale economies. The patterns of changes in efficiency for the countries are further analyzed using the Malmquist productivity index approach. The result shows that total factor productivity is higher in the first sub-period, 1995- 1999, which could be attributed to the increased competition and internationalization of the banking system, which took place in this sub-period due to the accelerated liberalization and deregulation of the financial system. Finally, the Tobit model results of the random effects show that population density, energy production, and corruption have negative effects on efficiency scores, while energy use and creditor have positive effects on them.
The Impact of Dividend Policy on Shareholders’ Wealth before and After Financial Melt down: Evidence from FMCG Sector in India

Dividend policy (DP) of corporate sector is widely researched topic in finance however; it remains a debatable issue to decide what factors determine the DP. The objective of this paper is to analyze the impact of dividend policy (DP) on shareholders’ wealth (SW) of Fast Moving Consumer Goods (FMCG) sector in India. Out of 16 firms listed on National Stock Exchange (NSE) 13 firms that have been paying dividend consecutively for the past ten years are considered for analysis. In the light of the prior literature, key predictor variables such as earnings per share (EPS),dividends per share (DPS), retained earnings per share (RPS), price earnings ratio (PER), lagged price earning (LAGPER), earnings (EAR), and lagged market value (LAGMPS) are considered for analyzing the impact of DP on SW. The descriptive statistics reveals that the data form in to normal. Whereas when the assumptions needed to be fulfilled for the Ordinary Least Square method (OLS), the data are found to be homoskedastic and are free of autocorrelation.Augmented Dickey Fuller Test (ADF), White Heteroskedasticity Test, Auto Correlation, Breuch-Godfrey Serial correlation LM test, Durbin-Watson, Lagrange Multiplier (LM) for Autoregressive conditional heteroskedasticity (ARCH-LM), Correlation, Ordinary Least Square Regression and Chow test are applied using Eviews 7 Econometrics software package for analysis. Regression result proves that DPS (121.65) and RPS (9.68) have significant positive co-efficient on EPS(SW) of FMCG firms in India before global financial melt down, while DPS (76.74), LAGPER (1.52) and LAGMPS (0.27) have significant positive co-efficient (76.74) on EPS(SW) of FMCG firms in India after global financial melt down. The results of the Chow test proves that the FMCG firms have significant shift-in-structure (positive improvement) in respect of SW after global financial melt down. © 2015 Pak Publishing Group. All Rights Reserved. Financial Risk and Management Reviews ISSN(e): 2411-6408/ISSN(p): 2412-3404 journal homepage: http://www.pakinsight. com/? ic=journal&journal=89 Financial Risk and Management Reviews, 2015, 1(1):8-26 © 2015 Pak Publishing Group. All Rights Reserved. 9
The longer the worse: a combined proteomic and targeted study of the long-termversusshort-term effects of silver nanoparticles on macrophages

Despite considerable research effort devoted to the study of the effects of silver nanoparticles on mammalian cells in recent years, data on the potential long term effects of this nanomaterial remain scarce, and centered on epithelial cells. The aim of this study was to explore the effects of silver nanoparticles on macrophages. To this end, RAW 264.7 murine macrophages were exposed to either 1 μg ml−1 silver nanoparticles for 20 days, i.e. a chronic exposure scheme, or to 20 μg ml−1 silver nanoparticles for 24 hours, i.e. an acute exposure scheme. A proteomic study was then conducted to study and compare the cellular responses to both exposure schemes. They proved to be essentially different, and stronger for the chronic exposure scheme. Targeted validation studies showed effects of chronic exposure to silver nanoparticles on detoxifying enzymes such as flavin reductase, which was increased, and on central metabolism enzymes such as triose phosphate isomerase, the activity of which decreased under chronic exposure to silver nanoparticles. Chronic exposure to silver nanoparticles also induced a decrease of reduced glutathione content, a decreased phagocytic activity and reduced macrophage responses to lipopolysaccharide, as exemplified by nitric oxide and interleukin 6 production. Overall, chronic exposure to silver nanoparticles induced stronger effects than acute exposure on macrophages in the metabolic (glutathione level, mitochondrial potential) and functional (phagocytosis, cytokine production) parameters tested.