Miracle-dz/UniFAR-FTUs huggingface dataset:
Eigenmodes of trapped horizontal oscillations in accretion disks

We present eigenfrequencies and eigenfunctions of trapped acoustic-inertial oscillations of thin accretion disks for a Schwarzschild black hole and a rapidly rotating Newtonian star (a Maclaurin spheroid). The results are derived in the formalism of Nowak and Wagoner (1991) with the assumption that the oscillatory motion is parallel to the midplane of the disk. The first four radial modes for each of five azimuthal modes $m = 0$ through $m = 4$ are presented. The frequencies and wavefunctions of the lowest modes may be accurately approximated by the Airy function.
Effects of Different Titanium Surfaces Created by 3D Printing Methods, Particle Sizes, and Acid Etching on Protein Adsorption and Cell Adhesion, Proliferation, and Differentiation

The surfaces of 3D printed titanium prostheses have major impacts on the clinical performance of the prostheses. To investigate the surface effects of the products generated by 3D printed titanium on osseointegration, six surface types of titanium discs produced by the direct metal laser sintering (DMLS) and electron beam melting (EBM) methods, with two sizes of titanium particles and post-printing acid etching, were used to examine the surface topography and to explore the protein adsorption, pro-inflammatory cytokine gene expressions, and MC3T3-E1 cell adhesion, proliferation, and differentiation. The EBM-printed disc showed a stripy and smooth surface without evidence of the particles used, while the DMLS surface contained many particles. After acid etching, small particles on the DMLS surface were removed, whereas the large particles were left. Moreover, distinct proteins with low molecular weights were attached to the 3D printed titanium discs but not to the pre-printing titanium particles. The small titanium particles stimulated the highest TNF-α and IL-6 gene expressions at 24 h. The alizarin red content and osteocalcin gene expression at day 21 were the highest in the groups of acid-etched discs printed by DMLS with the small particles and by EBM. Therefore, the acid-treated surfaces without particles favor osteogenic differentiation. The surface design of 3D printed titanium prostheses should be based on their clinical applications.
A Survey About the Use of Educational Robots and Physical Computing Devices in Computer Science Lessons at German Secondary Schools

Educational robots and physical computing devices are steadily becoming a common sight in computer science classes, as they offer both motivating and illustrative access to a multitude of technical concepts. However, this versatility comes with the drawback that it is not a priori clear how such systems should be designed or how they are most effectively used during lessons. It’s also unclear how much additional workload their maintenance incorporates. To help answer these questions, we conducted a survey at 114 German secondary schools from 11 different federal states. First, we asked computer science teachers about the current state of their lessons and the additional workload regarding the maintenance of the technical devices at their school. Afterward, we questioned our participants about how educational robots and physical computing devices are used in their respective classes, what positive and negative aspects they see in such systems and how much additional workload they add. We found that in 49% of the cases computer science teachers were responsible for the maintenance of the schools’ technical devices, implicating that the use of additional digital devices would further increase their workload. Nevertheless, 65% of our participants used educational robots and/or physical computing devices during their lessons. The systems were also generally perceived in a positive light with the most stated use case being an introduction to programming and the most valued functionality being modular components. In this paper, we present the design and results of this survey.
Application of Artificial Intelligence Methods Depending on the Tasks Solved during COVID-19 Pandemic

Health systems challenges that emerged during the COVID-19 pandemic, such as a lack of resources and medical staff, are forcing solutions which optimize healthcare performance. One of the solutions is the development of clinical decision support systems (CDSS) based on artificial intelligence (AI). We classified AI-based clinical decision-supporting systems used during the pandemic and evaluated the mathematical algorithms present in these systems. Materials and methods: we searched for articles relevant to the aim of the study in the Scopus publication database. Results: depending on the purpose of the development a clinical decision support system based on artificial intelligence during pandemic, we identified three groups of tasks: organizational, scientific and diagnostic. Tasks such as predicting of pandemic parameters, searching of analogies in pandemic progression, prioritization of patients, use of telemedicine are solved for the purposes of healthcare organization. Artificial intelligence in drugs and vaccine development, alongside personalized treatment programs, apply to new scientific knowledge acquisition. Diagnostic tasks include the development of mathematical models for assessing COVID-19 outcomes, prediction of disease severity, analysis of factors influencing COVID-19 complications. Conclusion: artificial intelligence methods can be effectively implemented for decision support systems in solving tasks that face healthcare during pandemic.
Understanding anisotropy generated by fluctuations in heavy-ion collisions

Event-by-event fluctuations are central to the current understanding of ultrarelativistic heavy-ion collisions. In particular, fluctuations in the geometry of the early-time collision system are responsible for new phenomena such as triangular flow, which have solved important puzzles in existing data. We propose a simple model where initial fluctuations stem from independent flux tubes randomly distributed in the transverse plane. We calculate analytically the moments of the initial anisotropies (dipole asymmetry, eccentricity, triangularity), which are the sources of anisotropic flow, and their mutual correlations. Our analytic results are in good agreement with calculations from commonly-used Monte-Carlo codes, providing a simple understanding of the fluctuations contained in these models. Any deviation from these results in future experimental data would thus indicate the presence of non-trivial correlations between the initial flux tubes and/or extra sources of fluctuations that are not present in current models.
Children’s Access to Non-School Destinations by Active or Independent Travel: A Scoping Review

Background: Children’s access to non-school destinations is important for their well-being, but this has been overlooked in transport planning. Research on children’s access to non-school destinations is growing, and there is a need for a comprehensive overview, examining both quantitative and qualitative studies, of the existing evidence on places that children access by active or independent travel. Objectives: Identify and summarize quantitative and qualitative research on the topic of active or independent travel to non-school destinations for elementary aged children (6 to 13 years old). Methods: Papers published in English between 1980 and July 2021 were sourced from: (i) Web of Science Core Collection; (ii) PubMed; and (iii) APA PsycInfo. Three relevant journals related to children and transport were hand searched: (i) Children’s Geographies; (ii) Journal of Transport & Health; and (iii) Journal of Transport Geography. The search was limited to peer-reviewed articles published in English between 1980 and July 2021. Covidence, an online software platform for systematic reviews, was used to organize articles during the title and abstract screening stage. PRISMA-Scr is applied for reporting. Results: 27 papers were retained from an initial 1293 identified peer-reviewed articles. The results reveal that children in different geographies travel unsupervised or by active modes to places that support different domains of their well-being such as a friend or relative’s home, local parks or green spaces, recreational facilities, and different retail locations (e.g., restaurants). There is evidence that children’s ability to reach certain places is constrained, likely due to safety concerns or environmental barriers. Conclusions: Research on children’s diverse destinations is relatively limited as compared to trips to school. Various methodologies have been applied and can be combined to completement each other such as objective GPS tracking and subjective surveys on places children would go if they were available. Future research should clearly report and discuss the non-school destinations that children access to better inform transport planning and policy for all aspects of children’s lives.
Disentangling redshift-space distortions and non-linear bias using the 2D power spectrum

We present the nonlinear 2D galaxy power spectrum, P(k, µ), in redshift space, measured from the Dark Sky simulations, using galaxy catalogs constructed with both halo occupation distribution and subhalo abundance matching methods, chosen to represent an intermediate redshift sample of luminous red galaxies. We find that the information content in individual µ (cosine of the angle to the line of sight) bins is substantially richer then multipole moments, and show that this can be used to isolate the impact of nonlinear growth and redshift space distortion (RSD) effects. Using the µ 0.2 to constrain the growth rate and show that f can be constrained to ~ 26(22)% to a kmax < 0.4(0.6)hMpc-1 from clustering alone using a simple dispersion model, for amore » range of galaxy models. Our analysis of individual µ bins also reveals interesting physical effects which arise simply from different methods of populating halos with galaxies. We also find a prominent turnaround scale, at which RSD damping effects are greater then the nonlinear growth, which differs not only for each µ bin but also for each galaxy model. These features may provide unique signatures which could be used to shed light on the galaxy–dark matter connection. Furthermore, the idea of separating nonlinear growth and RSD effects making use of the full information in the 2D galaxy power spectrum yields significant improvements in constraining cosmological parameters and may be a promising probe of galaxy formation models. « less
Relativistic jet feedback in high-redshift galaxies – I. Dynamics

We present the results of three dimensional relativistic hydrodynamic simulations of interaction of AGN jets with a dense turbulent two-phase interstellar medium, which would be typical of high redshift galaxies. We describe the effect of the jet on the evolution of the density of the turbulent ISM. The jet driven energy bubble affects the gas to distances up to several kiloparsecs from the injection region. The shocks resulting from such interactions create a multi-phase ISM and radial outflows. One of the striking result of this work is that low power jets (P_jet < 10^{43} erg/s) although less efficient in accelerating clouds, are trapped in the ISM for a longer time and hence affect the ISM over a larger volume. Jets of higher power drill through with relative ease. Although the relativistic jets launch strong outflows, there is little net mass ejection to very large distances, supporting a galactic fountain scenario for local feedback.
Characteristics and Roles of T Follicular Helper Cells in SARS-CoV-2 Vaccine Response

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccination is critical to controlling the coronavirus disease 2019 (COVID-19) pandemic. However, a weak response to the vaccine and insufficient persistence of specific antibodies may threaten the global impact of mass vaccination campaigns. This study summarizes the internal factors of the body that affect the effectiveness of the SARS-CoV-2 vaccine. T follicular helper (Tfh) cells support germinal center B cells to produce vaccine-specific immunoglobulins. A reduction in the Tfh cell number and a shift in the subset phenotypes caused by multiple factors may impair the production and persistence of high-affinity antibodies. Besides efficacy differences caused by the different types of vaccines, the factors that affect vaccine effectiveness by intervening in the Tfh cell response also include age-related defects, the polarity of the body microenvironment, repeated immunization, immunodeficiency, and immunosuppressive treatments. Assessing the phenotypic distribution and activation levels of Tfh cell subsets after vaccination is helpful in predicting vaccine responses and may identify potential targets for improving vaccine effectiveness.
Explaining public support for demanding activation of the unemployed: The role of subjective risk perceptions and stereotypes about the unemployed

In recent decades, European welfare states have adopted demanding active labour market policies (ALMPs), aimed at increasing labour market participation through imposing stricter work-related obligations and benefit cuts in case of job offer rejection. This article investigates whether support for such demanding ALMPs is driven by risk perceptions of future unemployment and negative stereotypes about unemployed persons. Insights into the role of risk perceptions and stereotypes offer opportunities to gain a better understanding of the impact of structural variables. Drawing on data from the European Social Survey 2016 in 21 European countries, the analysis reveals that higher subjective risk of unemployment decreases support for these ALMPs substantially, whereas negative perceptions of the unemployed increase support. However, these factors play at the individual level only and do not explain country-level differences in support of demanding ALMPs. The notable cross-national variation in support of activation policies is found to be unrelated to economic factors and to the strictness of activation requirements for unemployment benefits.
Bulletin of Electrical Engineering and Informatics

Received Aug 29, 2021 Revised Dec 27, 2021 Accepted Jan 6, 2022 K-means is an iterative algorithm used with clustering task. It has more characteristics such as simplicity. In the same time, it suffers from some of drawbacks, sensitivity to initial centroid values that may produce bad results, they are based on the initial centroids of clusters that would be selected randomly. More suggestions have been given in order to overcome this problem. Ensemble learning is a method used in clustering; multiple runs are executed that produce different results for the same data set. Then the final results are driven. According to this hypothesis, more ensemble learning techniques have been suggested to deal with the clustering problem. One of these techniques is "Three ways method". However, in this paper, three ways method as an ensemble technique would be suggested to be merged with kmean algorithm in order to improve its performance and reduce the impact of initial centroids on results. Then it was compared with traditional k-means results through practical work that was executed using popular data set. The evaluation of the hypothesis was done through computing related metrics.
CT Scans Imaging of Human Ethmoid Sinuses and Gross Anatomical Dissection: a Descriptive, Projective, Comparative, and Dimensional Study

Introduction: The ethmoid air sinus can subdivide into several air cells, which are separated from each other by thin, incomplete bony septa resulting in the formation of three groups of air cells (anterior, middle, and posterior cells). Methods: A randomized sample of 360 human individuals, including 110 cadavers with another 250 CT scan cases, was achieved from February 2020 to November 2021. Results: The agger nasi was the most common type of cell demonstrated by 81.8% in cadaveric cases and 94% in CT cases. The frontal bulla cell presents just above the ethmoidal bulla and may produce convexity on the frontal sinus floor. Its prevalence was 10.9% in cadaveric cases and 22.8% in CT cases. The suprabullar cell is on top of bulla ethmoidalis and represents 7.3% of cadaveric cases and 14.8% of CT cases. Concha bullosa presents as a comprehensive pneumatization in the middle turbinate. Its prevalence was 34.5% in cadaveric cases and 44% in CT cases. The Haller cell reveals as a pneumatized air-filled cell shown at the lower medial side of the orbit. It was in 29% of cadaveric cases and 42% of CT cases. In addition, the sphenoethmoid (Onodi) cell is a posterior ethmoidal cell with a prevalence of 41.8% in cadaveric and 64% in CT cases. Conclusion: This study described the morphologic anatomy of each ethmoid sinus and compared its dimensions by gross anatomy with CT scanning in different age groups. This yields clues to understanding the variations in human races and ethnic groups
Determination of Contractor Strategies in Delivering Construction Projects in Oman

: Contractors are responsible to deliver construction projects as per contract. Past literature highlighted various implications of poor project delivery and as the ones who are responsible to deliver the project, contractors need to plan and strategise to ensure their projects are successfully delivered to the client. This paper focuses on identifying the strategies adopted by Omani main contractors to deliver construction projects successfully. Using 48 strategies identified through literature review, a survey has been conducted with 108 main contractors in Oman with top grade level of Oman Chamber of Commerce and Industry (OCCI) to investigate the significant strategies adapted ensuring successful project delivery. The top grade level contractor is on the focus of this research because they are involved as main contractors for construction projects in Oman. Using Factor Analysis technique, the 48 strategies have been reduced into 28 sub-strategies which are grouped into seven main strategies. The seven main strategies are: i) people and subcontractor management; ii) environmental protection; iv) develop technical capability, monitor and control; v) organisational efficiency and financial stability; vi) legislative compliance; and vii) clients’ satisfaction. This research revisits the su ccessful strategy for project delivery and restructures them to suit the practices in Oman. The strategy can be emulated by contractors in the country, and perhaps other middle east countries, as a way to expedite better construction performance.
Optical caustics of Kerr spacetime: The full structure

I present an exhaustive numerical investigation of the optical caustics in gravitational lensing by a spinning black hole for an observer at infinity. Besides the primary caustic, I examine higher order caustics, formed by photons performing one or several loops around the black hole. My investigation covers the whole parameter space, including the black hole spin, its inclination with respect to the line of sight, the source distance, and the caustic order. By comparing my results with the available analytical approximations, I find perfect agreement in their respective domains of validity. I then prove that all caustics maintain their shape (a tube with astroidal cross section) in the entire parameter space without suffering any transitions to different caustic shapes. For nearly extremal spin, however, higher order caustics grow so large that their cross sections at fixed radii wind several times around the black hole. As a consequence, for each caustic order, the number of images ranges from 2 to 2(n + 1), where n is the number of loops spanned by the caustic. As for the critical curves, I note that for high values of the spin they develop a small dip on the side corresponding to prograde orbits.
Period–luminosity relations of pulsating M giants in the solar neighbourhood and the Magellanic Clouds

We analyse the results of a 5.5-yr photometric campaign that monitored 247 southern, semiregular variables with relatively precise Hipparcos parallaxes to demonstrate an unambiguous detection of red giant branch (RGB) pulsations in the solar neighbourhood. We show that Sequence A' contains a mixture of asymptotic giant branch and RGB stars, as indicated by a temperature-related shift at the tip of the red giant branch. Large Magellanic Cloud (LMC) and Galactic sequences are compared in several ways to show that the period-luminosity sequence zero-points have a negligible metallicity dependence. We describe a new method to determine absolute magnitudes from pulsation periods and calibrate the LMC distance modulus using Hipparcos parallaxes to find μ LMC = 18.54 ± 0.03 mag. Several sources of systematic error are discussed to explain discrepancies between the Massive Compact Halo Object and Optical Gravitational Lensing Experiment sequences in the LMC. We derive a relative distance modulus of the Small Magellanic Cloud relative to the LMC of Δμ =0.41 ± 0.02 mag. A comparison of other pulsation properties, including period-amplitude and luminosity-amplitude relations, confirms that RGB pulsation properties are consistent and universal, indicating that the RGB sequences are suitable as high-precision distance indicators. The M giants with the shortest periods bridge the gap between G and K giant solar-like oscillations and M-giant pulsation, revealing a smooth continuity as we ascend the giant branch.
FIRST RESULTS FROM FERMI GAMMA-RAY BURST MONITOR EARTH OCCULTATION MONITORING: OBSERVATIONS OF SOFT GAMMA-RAY SOURCES ABOVE 100 keV

The NaI and BGO detectors on the Gamma-ray Burst Monitor (GBM) on Fermi are now being used for long-term monitoring of the hard X-ray/low-energy gamma-ray sky. Using the Earth occultation technique as demonstrated previously by the BATSE instrument on the Compton Gamma-Ray Observatory, GBM can be used to produce multiband light curves and spectra for known sources and transient outbursts in the 8 keV to 1 MeV energy range with its NaI detectors and up to 40 MeV with its BGO detectors. Over 85% of the sky is viewed every orbit, and the precession of the Fermi orbit allows the entire sky to be viewed every ∼26 days with sensitivity exceeding that of BATSE at energies below ∼25 keV and above ∼1.5 MeV. We briefly describe the technique and present preliminary results using the NaI detectors after the first two years of observations at energies above 100 keV. Eight sources are detected with a significance greater than 7σ: the Crab, Cyg X-1, SWIFT J1753.5−0127, 1E 1740-29, Cen A, GRS 1915+105, and the transient sources XTE J1752−223 and GX 339-4. Two of the sources, the Crab and Cyg X-1, have also been detected above 300 keV.
Matter waves in atomic artificial graphene

We present a new model to realize artificial 2D lattices with cold atoms investigating the atomic artificial graphene: a 2D confined matter wave is scattered by atoms of a second species trapped around the nodes of a honeycomb optical lattice. The system allows an exact determination of the Green function, hence of the transport properties. The inter-species interaction can be tuned via the interplay between scattering length and confinements. Band structure and density of states of a periodic lattice are derived for different values of the interaction strength. Emergence and features of Dirac cones are pointed out, together with the appearance of multiple gaps and a non-dispersive and isolated flat band. Robustness against finite-size and vacancies effects is numerically investigated.