Miracle-dz/UniFAR-FTUs huggingface dataset:
Absolute Photometric Calibration of the Infrared Camera (IRC) aboard AKARI

The absolute photometric calibration of imaging observations with the Infrared Camera (IRC) aboard the AKARI satellite was performed by monitoring the same stars regularly and by observing a set of standard stars. By our monitoring observations, we confirmed that all channels of the IRC were stable to within 4% and that their sensitivities were constant until the liquid helium was exhausted. Using the data of these repeated observations, we evaluated the intrinsic errors as a function of the brightnesses of objects and found that the errors increase rapidly toward fainter objects. We also checked the consistency between short and long exposure times, and confirmed that the data sampling had been executed as designed. Finally, by comparing the estimated in-band flux densities and the observed data values of standard stars, we obtained conversion factors to the absolute flux densities of all the band/exposure configurations. Their absolute uncertainties are estimated to be less than 6%.
Human behaviour in pandemics: social and psychological determinants in a global health crisis

necessary tools to go beyond the narrow focus of current studies that– according to the authors – suffer from a fragmented and segregated knowledge base by focusing on particular ethno-national groups or by focusing on specific sectors such as public healthcare or civil society. Moreover, most current studies do not provide a comprehensive overview of the entire welfare ecosystem, including informal dimensions of provision (Schrooten, Thys & Debruyne (eds) (2019) Sociaal schaduwwerk. Politeia), a perspective that is well elaborated in this book. Another important asset of the concept is its multiscalarism, which includes scapes and resources ranging from the local to the transnational and the virtual. By making visible how resources from all over the world are connected to solve health – or welfare – concerns, the concept has the potential to contribute to overcome themethodological nationalism still present in social work (Schrooten (2021) Transnational social work. Journal of Social Work, 21:5, 1163–1181). Yet, apart from a reference to the existence of transnational and virtual resources, these perspectives are largely absent from the book. The connection of resources across welfare regimes and borders is not elaborated, nor is the transnational or the virtual explicitly included in the ‘welfare ecosystem’ approach developed in the book, which is limited to a local organisation perspective. This is a missed opportunity to pay attention to ‘the hidden’, including transnational resources as well as resources without a formal organisational structure. Further developing these hidden aspects would strongly contribute to the potential of the concept and further enrich its ability to bring innovation to healthcare systems and beyond.
Underwater localization—a major problem in fish acoustics

Several fish with swimbladders have been shown to detect the angular location of a source of low‐frequency pure tones, e.g., 75 Hz, if it is situated in the “horizontal” plane of the fish. Moreover cod possess truly three‐dimensional directional hearing. Two variables are pertinent: particle acceleration a(t) and acoustic pressure p(t) at the position of the fish. Directional information in a(t) might be obtained through differently oriented acceleration detectors such as the otolith organs. Electrophysiological evidence supports this. Time of arrival differences appear irrelevant. Bony fish with swimbladders (cod, ide) show a 180° reversal in directional response if a sinusoidal sound field with a(t), p(t) is replaced by a(t), −p(t). This suggests a phase analysis to overcome the 180° directional ambiguity when inferring propagation direction from a(t). Pressure is transformed by the swimbladder into accelerations along a line of action characteristic for the recording site in the labyrinths. Sharks, whi.
Rational synthesis of gold-ceria catalysts supported on reduced graphene oxide with remarkable activity for CO oxidation

Gold (Au)- and ceria (CeO2)-based catalysts are amongst the most active catalysts for the gas phase CO oxidation reaction. Nevertheless, nanosized Au and CeO2 catalysts may encounter heat-induced sintering in thermochemical catalytic reactions. Herein, we report on the rational one-pot synthesis of ceria-reduced graphene oxide (CeO2-RGO) using a facile ethylenediamine (EDA)-assisted solvothermal method. Standalone RGO and free-standing CeO2 were also prepared using the same EDA-assisted method for comparison. We then incorporated Au into the prepared samples by colloidal reduction and evaluated the catalytic activity of the different catalysts for CO oxidation. The RGO-supported CeO2 surpassed the free-standing CeO2, exhibiting a 100% CO conversion at 285 °C compared to 340 °C in the case of CeO2. Interestingly, the RGO-supported Au/CeO2 catalysts outperformed the Au/CeO2 catalysts and achieved a 100% CO conversion at 76 °C compared to 113 °C in the case of Au/CeO2. Additionally, the Au/CeO2-RGO catalyst demonstrated remarkable room-temperature activity with simultaneous 72% CO conversion. This outstanding performance was attributed to the unique dispersion and size characteristics of the RGO-supported CeO2 and Au catalysts in the ternary Au/CeO2-RGO nanocomposite, as revealed by TEM and XPS, among other techniques.
Monte Carlo cluster simulations to determine the rate of compact star inspiralling to a central galactic black hole

The capture and gradual inspiral of stellar mass objects by a massive black hole at the centre of a galaxy has been proposed as one of the most promising sources of gravitational radiation to be detected by LISA. Unfortunately, rate estimates for this process suffer from many uncertainties. Here we report on the use of our newly developed Monte Carlo stellar dynamics code to tackle this problem. We present results from simple galactic nuclei models that demonstrate the high potential of our approach and point out the aspects of the problem where an improved treatment seems desirable.
Giant magneto-impedance effect in the sandwiched FeSiB/Cu/FeSiB films

Giant magneto-impedance (GMI) effect has been studied for the sandwiched FeSiB/Cu/FeSiB films in the frequency range 1-40 MHz. The magnitude of the maximum GMI ratio ([Z(H)-Z(0)]/Z(0)) is 13.6% for a magnetic field of 20 Oe and a frequency of 3 MHz, and the magnetic field H/sub p/ at which the maximum GMI ratio occurs is discussed. In addition, the sandwiched FeSiB/Cu/FeSiB films display larger negative values of the GMI ratio at relatively larger magnetic field. Frequency dependence of the GMI ratio shows that there is a sharp peak in the GMI spectra with the increasing frequency.
Investigation on a coupled Navier–Stokes–Direct Simulation Monte Carlo method for the simulation of plume flowfield of a conical nozzle

To assess the plume effects of space thrusters, the accurate plume flowfield is indispensable. The plume flow of thrusters involves both continuum and rarefied flow regimes. Coupled Navier–Stokes–Direct Simulation Monte Carlo (NS–DSMC) method is a major approach to the simulation of continuum‐rarefied flows. An axisymmetric coupled NS–DSMC solver, possessing adaptive‐interface and two‐way coupling features, is investigated in this paper for the simulation of the nozzle and plume flows of thrusters. The state‐based coupling scheme is adopted, and the gradient local Knudsen number is used to indicate the breakdown of continuum solver. The nitrogen flows in a conical nozzle and its plume are chosen as the reference case to test the coupled solver. The threshold value of the continuum breakdown parameter is studied based on both theoretical kinetic velocity sampling and coupled numerical tests. Succeeding comparisons between coupled and full DSMC results demonstrate their conformities, meanwhile, the former saves 58.8% computational time. The pitot pressure evaluated from the coupled simulation result is compared with the experimental data proposed in literatures, revealing that the coupled method makes precise predictions on the experimental pitot pressure. Copyright © 2014 John Wiley & Sons, Ltd.
ON THE DIVERSITY ORDER OF VECTORPERTURBATIONPRECODINGWITH IMPERFECT CHANNEL STATE INFORMATION

We consider vector perturbation precoding over a quasi-static MIMO channel under the assumption of imperfect channel state information (CSI). This is accomplished via a high SNR analysis, specifically targeting the overall system diversity order and the identification of typical errors. The effects of long-term and short-term power con­ straints, or power allocation policies, are investigated. Our results in­ dicate that under realistic assumptions regarding the channel estima­ tion error the system is mainly interference limited and as such, the particular power constraint does not significantly affect the asymp­ totic behavior of the error probability. This is in sharp contrast to the case of perfect CSI.
Correcting for Extreme Response Style: Model Choice Matters

Extreme response style (ERS), the tendency of participants to select extreme item categories regardless of the item content, has frequently been found to decrease the validity of Likert-type questionnaire results. For this reason, various item response theory (IRT) models have been proposed to model ERS and correct for it. Comparisons of these models are however rare in the literature, especially in the context of cross-cultural comparisons, where ERS is even more relevant due to cultural differences between groups. To remedy this issue, the current article examines two frequently used IRT models that can be estimated using standard software: a multidimensional nominal response model (MNRM) and a IRTree model. Studying conceptual differences between these models reveals that they differ substantially in their conceptualization of ERS. These differences result in different category probabilities between the models. To evaluate the impact of these differences in a multigroup context, a simulation study is conducted. Our results show that when the groups differ in their average ERS, the IRTree model and MNRM can drastically differ in their conclusions about the size and presence of differences in the substantive trait between these groups. An empirical example is given and implications for the future use of both models and the conceptualization of ERS are discussed.
CO2 Snow Deposition in Antarctica to Curtail Anthropogenic Global Warming

AbstractA scientific plan is presented that proposes the construction of carbon dioxide (CO2) deposition plants in the Antarctic for removing CO2 gas from Earth’s atmosphere. The Antarctic continent offers the best environment on Earth for CO2 deposition at 1 bar of pressure and temperatures closest to that required for terrestrial air CO2 “snow” deposition—133 K. This plan consists of several components, including 1) air chemistry and CO2 snow deposition, 2) the deposition plant and a closed-loop liquid nitrogen refrigeration cycle, 3) the mass storage landfill, 4) power plant requirements, 5) prevention of dry ice sublimation, and 6) disposal (or use) of thermal waste. Calculations demonstrate that this project is worthy of consideration, whereby 446 deposition plants supported by sixteen 1200-MW wind farms can remove 1 billion tons (1012 kg) of carbon (1 GtC) annually (a reduction of 0.5 ppmv), which can be stored in an equivalent “landfill” volume of 2 km × 2 km × 160 m (insulated to prevent dry ice s.
Persistent Propagation of Concentration Waves in Dissipative Media Far from Thermal Equilibrium

The origin of persistent wave propagation through medium of reactwn-diffusion type 1s explored. Our theory is based on a generalized time-dependent Ginzburg-Landau equation for a complex field W, namely, the equation derived previously in connection with the instability problems in nonlinear chemical kinetics. For slow variation of lV in space and tune the above equation is further reduced to a Navier-Stokes-like one for the phase gradient of TV. Under a certain condition, the "viscosity" coefficient becomes negative, and at the :-;arne time the temporally ordered state of uniform concentrations becomes unstable. In :-;uch a situation we find a particular solution corresponding to a propagating concentratiOn wave with a wave-source or sink
The unitarity of split-operator finite difference and finite-element methods: Applications to longitudinally varying semiconductor rib waveguides

Split-operator finite-difference and finite-element techniques are applied to the calculation of losses in semiconductor rib waveguide Y junctions. It is shown that, unlike the finite-difference procedure, which is unitary for both uniform and nonuniform grid-point spacings, considerable care must be exercised in formulating the split-operator finite-element method in order to preserve the power in the propagating electric field. The calculations are performed in the context of the Fresnel approximation to the scalar Helmholtz equation, which yields accurate solutions for transverse electric (TE)-polarized electric fields in rib waveguides far from cutoff. >
Langmuir turbulence as a critical phenomenon. Part 2. Application of the dynamical renormalization group method

In part 1 of this work, we have found a ‘critical curve’ which separates the unstable self-modulation regime from the stable one for a Gibbs ensemble of interacting modes. On this critical curve, the correlation length diverges and scaling invariance occurs; in particular, the Langmuir correlation spectrum is proportional to k-2. Simple laws have been derived for the neighbourhood of the critical curve. However these derivations are based on equilibrium statistical mechanics and the results are obtained with a Hartree approximation which has not been checked. So, in this second part, we elaborate a direct statistical theory of Zakharov's equations completed by excitation sources and dissipations. In spite of infra-red divergences and a large fluctuation level, large-scale properties are derived in the neighbourhood of the critical curve, by the renormalization group method. The laws obtained in part 1 are slightly modified; however, the same spectrum is obtained.
Knowledge and practices of delivery room midwives on delayed umbilical cord clamping time: a descriptive study from Turkey

This study aimed to evaluate the knowledge and practices of delivery room midwives on delayed umbilical cord clamping (DCC). This descriptive study was conducted with a total of 1,274 delivery room midwives from five regions of Turkey. The data were collected using a Google survey form. Most of the midwives defined DCC as clamping the umbilical cord in term newborns after cessation of pulsations (47.2%), and as clamping the umbilical cord in preterm newborns within 15-30 seconds of birth (31.2%). Their highest DCC time ranged between 0-10 seconds for term and preterm newborns (34.7% and 54.8%, respectively). The rates of applying DCC were 17.6% and 5.3% in term and preterm newborns, respectively. Dealing with the mother (75.6% and 33.4%, respectively), having workload (27.5% and 24.6%, respectively), considering that the newborn would have respiratory distress (16.1% and 33.4%), considering that the newborn would get cold (10.7% and 13.9%, respectively), preventing polycythemia and hyperbilirubinemia (6.7% and 9.7%, respectively), and being afraid of dropping the newborn (5.3% and 19%, 8, respectively) are the most common reasons for midwives not to apply DCC to term and preterm newborns. The majority of the midwives reported that they had no DCC protocol in their institution (80.5%) and did not receive in-service training on DCC (76.5%). This study has concluded that most midwives do not know the correct definition of DCC, do not apply DCC correctly, have quite short DCC times, have no DCC protocol in their institutions and do not receive in-service training on DCC
Concentration gradients in microfluidic 3D matrix cell culture systems

Microfluidic technology enables the creation of well-defined cell culture environments, which integrate the control of multiple biophysical and biochemical cues for designing novel in vitro assays. Growth-factor concentration gradients play a critical role in a wide range of biological processes ranging from development to cancer, guiding cell migration and influencing cell signaling. We present a microfluidic device capable of generating stable concentration gradients in a 3D matrix, while allowing for direct imaging of cellular behavior. The design consists of polydimethylsiloxane microchannels interconnected through 3D matrices. Optical access of the 3D matrix permits direct observation of invasive properties of cells seeded inside the channels or embedded in the matrix. An important characteristic of the microfluidic platform is the capability to generate reproducible, stable and quantifiable concentration gradients that are essential for systematic studies of soluble factor signaling in chemotaxis as.
Deriving a Fault Resilience Metric for Real-Time Systems

Most real-time systems are required to comply with strict time and logical requirements even in the presence of faults. Although scheduling policies and schedulability analyses have been extended to deal with fault tolerance, not much attention has been given to measuring the fault resilience of such systems. Usually, worst-case error patterns are artificially assumed and system correctness is checked. However, such patterns do not represent the capacity of the system to tolerate faults, nor consider the overall system behavior in the presence of faults. In this paper we define a fault resilience metric and present a simulation-based analysis. Then we show how simulation results can be statistically analyzed.
Studies of nonthermal emission from AGN through polarization observations at the VLT

In order to constrain models of particle acceleration in Active Galaxies with spectral energy distributions that are dominated by non-thermal radiation mechanisms, we carried out polarimetric observations with the FORS1 instrument on UT1 of the ESO-VLT. These studies involve imaging and spectropolarimetry of both circular and linear modes of polarization.
Interactions between Platelets and Tumor Microenvironment Components in Ovarian Cancer and Their Implications for Treatment and Clinical Outcomes

Simple Summary Despite initially responding to treatment, many ovarian cancers recur because of tumor cell heterogeneity, chemoresistance, and the cancer-promoting and immunosuppressive tumor microenvironment. Recurrent tumors account for the reduced overall and progression-free survival of patients with ovarian cancer. Ovarian cancer is commonly accompanied by thrombocytosis and thrombotic events, which implies that platelets may participate in cancer progression via their association with cancer cells and the tumor microenvironment. This review focuses on platelets’ interactions with cellular and acellular components of the tumor microenvironment, including endothelial cells, mesenchymal stem cells, adipocytes, pericytes, immune cells, and extracellular matrix elements, and discusses how these interactions support the proliferation and metastasis of ovarian cancer cells. It also provides an overview of potential therapeutic strategies that obstruct platelets’ protumor effects by reprogramming the tumor microenvironment. Abstract Platelets, the primary operatives of hemostasis that contribute to blood coagulation and wound healing after blood vessel injury, are also involved in pathological conditions, including cancer. Malignancy-associated thrombosis is common in ovarian cancer patients and is associated with poor clinical outcomes. Platelets extravasate into the tumor microenvironment in ovarian cancer and interact with cancer cells and non-cancerous elements. Ovarian cancer cells also activate platelets. The communication between activated platelets, cancer cells, and the tumor microenvironment is via various platelet membrane proteins or mediators released through degranulation or the secretion of microvesicles from platelets. These interactions trigger signaling cascades in tumors that promote ovarian cancer progression, metastasis, and neoangiogenesis. This review discusses how interactions between platelets, cancer cells, cancer stem cells, stromal cells, and the extracellular matrix in the tumor microenvironment influence ovarian cancer progression. It also presents novel potential therapeutic approaches toward this gynecological cancer.
Adipose tissue aging is regulated by an altered immune system

Adipose tissue is a widely distributed organ that plays a critical role in age-related physiological dysfunctions as an important source of chronic sterile low-grade inflammation. Adipose tissue undergoes diverse changes during aging, including fat depot redistribution, brown and beige fat decrease, functional decline of adipose progenitor and stem cells, senescent cell accumulation, and immune cell dysregulation. Specifically, inflammaging is common in aged adipose tissue. Adipose tissue inflammaging reduces adipose plasticity and pathologically contributes to adipocyte hypertrophy, fibrosis, and ultimately, adipose tissue dysfunction. Adipose tissue inflammaging also contributes to age-related diseases, such as diabetes, cardiovascular disease and cancer. There is an increased infiltration of immune cells into adipose tissue, and these infiltrating immune cells secrete proinflammatory cytokines and chemokines. Several important molecular and signaling pathways mediate the process, including JAK/STAT, NFκB and JNK, etc. The roles of immune cells in aging adipose tissue are complex, and the underlying mechanisms remain largely unclear. In this review, we summarize the consequences and causes of inflammaging in adipose tissue. We further outline the cellular/molecular mechanisms of adipose tissue inflammaging and propose potential therapeutic targets to alleviate age-related problems.
A fuzzy logic based stabilizer for a synchronous machine

The application of a fuzzy logic controller to improve the stability of electric power systems is presented. The stabilizing signal is computed using the standard fuzzy membership function depending on the speed acceleration state of the generator in the phase plane. The required measurement is the speed deviation over two samples. The effectiveness of the proposed stabilizer is demonstrated by simulation studies for different operating conditions and disturbances. >
Nonlinear effects in the rheology of dilute suspensions

An analysis is presented of the deformation of a solid-like, viscoelastic sphere suspended in the infinite Stokesian flow field of a Newtonian fluid undergoing an arbitrary time-dependent homogeneous deformation far from the particle. The results of the analysis are then used to deduce the macroscopic rheological behaviour of a dilute monodisperse suspension of slightly deformable spheres. Even though inertial effects and second-order terms in the particle deformation are neglected, it is found that non-linear rheological effects can arise, because of the interaction between the deformed particle and the flow. As a consequence, the rheological relation obtained here differs from those presented earlier by Fröhlich & Sack (1946) and by Oldroyd (1955) through the appearance of certain terms which are non-linear in the deformation rate. When the suspended particles are purely elastic in their behaviour the rheological equation presented here reduces for certain flows to a special case of Oldroyd's (1958) phenomenological model, with material constants which can be directly related to suspension properties.