Miracle-dz/UniFAR-FTUs huggingface dataset:
Innovative technical implementation of the Schumann resonances and its influence on organisms and biological cells

Over the course of time in the digital age, oscillating processes were utilized in various realizations. Life without these became hardly imaginable. Schumann resonances are electromagnetical resonances or eigenfrequencies (radio waves), which originate from the oscillation in a hollow space shell. Their average basic frequency is 7,83Hz. The above-mentioned radio waves emerge from energy discharges such as thunderstorms, lightning or solar wind within the earth’s surface and the ionosphere. They exist around the globe. Various scientists have discovered a correlation to our health on the basis of studies and experiments; their absence can result in a variety of disorders from headaches to cancerous diseases. Nevertheless, the field is considered controversial. It has not yet been researched thoroughly, which significant impact it has on beings. This shows that further research is appropriated. The objective is an analytical consideration of the impact of a technical application of the Schumann resonance on living organisms. Furthermore, this paper is concerned with the consideration and comparison of various hypotheses and studies. The here mentioned frequency range also covers brainwaves, there should be a direct influence on certain brain areas. Furthermore, the investigations shall function as the basis for further experiments at Johannes Gutenberg University, Germany.
Nurse Leader: Heal Thyself

Nurse leaders live in a world of intense chaos. Now more than ever, the workplace environment is undergoing impressive and radical change. Forces have left the nurse leader with more tasks at hand, more meetings to attend, and more relationships to cultivate with less time to accomplish everything than ever before. How is one to achieve a sense of balance or harmony? How can a nurse leader succeed in this environment of increasing demands? Nursing leaders are not only part of, but they are role models for today’s changing work force. In order to build an engaged, healthy and productive work force, nurse leaders must first emulate these same characteristics. This article will consider consequences of increasing pressure of changing health care roles and job stress followed by a review of the relationship between the mind and the body. An examination of the influence of culture and gender follows. A strategy of prioritizing the “self” first while creating a healthy lifestyle will be discussed. Lastly, specific approaches and alternatives intended to help nurse leaders achieve this balance will be recommended.
Effects of ϕ-meson on the EOS, Maximum Masses, and Radii of Hyperon Stars

The relativistic mean field (RMF) model is considered as one of the best methods to study the nuclear system that has a high degree of isospin asymmetry and baryon density. In the present contribution, we take 25 well-known parameter sets of the RMF model to discuss the parametric dependence of the neutron and hyperon star properties. Various properties of the canonical star are discussed and only a few parameter sets are found to satisfy both the astrophysical and nuclear matter constraints. We add both ϕ and σ* strange mesons to the σ-ω-ρ model. Effects of the ϕ-meson on the equation of state and maximum mass of the hyperon star are discussed in detail. ϕ-meson affects the threshold density of hyperon production and pushes the hyperon production to a higher density. Effects of the hyperon–meson coupling constants on the maximum mass–radius profile and strangeness content of the hyperon star are discussed in the σ-ω-ρ-ϕ-σ* model.
Drift effects on W7-X divertor heat and particle fluxes

Classical particle drifts are known to have substantial impacts on fluxes of particles and heat through the edge plasmas in both tokamaks and stellarators. Here we present results from the first dedicated investigation of drift effects in the W7-X stellarator. By comparing similar plasma discharges conducted with a forward- and reverse-directed magnetic field, the impacts of drifts could be isolated through the observation of up-down asymmetries in flux profiles on the divertor targets. In low-density plasmas, the radial locations of the strike lines (i.e. peaks in the target heat flux profiles) exhibited discrepancies of up to 3 cm that reversed upon magnetic field reversal. In addition, asymmetric heat loads were observed in regions of the target that are shadowed by other targets from parallel flux from the core plasma. A comparison of these asymmetric features with the footprints of key topological regions of the edge magnetic field on the divertor suggests that the main driver of the asymmetries at low density is poloidal E × B drift due to radial electric fields in the scrape-off layer and private flux region. In higher-density plasmas, upper and lower targets collected non-ambipolar currents with opposite signs that also inverted upon field reversal. Overall, in these experiments, almost all up-down asymmetry could be attributed to the field reversal and, therefore, field-dependent drifts.
Quantitative Assessment of State-Dependent Atmospheric Motion Vector Uncertainties

This study examines the error characteristics of atmospheric motion vectors (AMVs) obtained by tracking the movement of water vapor features. A high-resolution numerical simulation of a dynamic weather event is used as a baseline, and AMVs tracked from retrieved water vapor fields are compared with the “true” winds produced by the model. The sensitivity of AMV uncertainty to time interval, AMV tracking window size, water vapor content, horizontal gradient, and wind structure is examined. AMVs are derived from the model water vapor field at a specific height and also from water vapor fields vertically blurred using smoothing functions consistent with high-spectral-resolution infrared (IR) and high-frequency microwave (MW) water vapor sounders. Uncertainties in water vapor AMVs are state dependent and are largest for regions with small water vapor content and small water vapor spatial gradient and in places where the flow runs parallel to contours of constant water vapor content. Smoothing of water vapor consistent with IR and MW retrievals does not increase AMV uncertainty; however, the yield of AMVs from IR sounders is much lower than from MW sounders because of the inability of IR sounders to retrieve water vapor below clouds. The yield and error are similar for AMVs in the lower and upper troposphere, even though the water vapor content in the upper troposphere is much smaller. The results have implications for the design of new observing systems, as well as the specification of errors when AMVs are ingested in data assimilation systems.
Nonlocality, quantum correlations, and violations of classical realism in the dynamics of two noninteracting quantum walkers

That quantum correlations can be generated over time between the spin and the position of a quantum walker is indisputable. The creation of bipartite entanglement has also been reported for two-walker systems. In this scenario, however, since the global state lies in a fourpartite Hilbert space, the question arises as to whether genuine multipartite entanglement may develop in time. Also, since the spatial degrees of freedom can be viewed as a noisy channel for the two-spin part, one may wonder how other nonclassical aspects (quantumnesses), such as Bell nonlocality, Einstein-Podolsky-Rosen steering, quantum discord, and symmetrical quantum discord, evolve in time during the walk. The scarcity of such a broader investigation is possibly due to computational difficulties associated with the recursive nature of quantum walks. Here, we work around this issue by introducing a simplified Gaussian model which proves to be very accurate within a given domain and powerful for the analytical studies. Then, for an instance involving two noninteracting quantum walkers, whose spins start in the singlet state, we quantify the aforementioned quantumnesses as a function of time, and evaluate violations of both realism and related aspects of locality. In addition, we analyze situations in which the initial two-spin state is affected by white noise. The typical scenario found is such that while genuine fourpatite entanglement increases over time, all the investigated quantumnesses vanish (suddenly or asymptotically) except realism-based nonlocality. Moreover, realism is prevented for all finite times.
Interference in complex quantum systems : from localization in high-dimensional lattices to surface spin echo with molecules

This thesis considers (1) novel manifestations and applications of quantum interference in complex systems and (2) development of new approaches to study complex quantum systems. First, I examine a general model of particles with long-range hopping amplitudes. For at least 30 years, it has been widely accepted that these particles do not undergo Anderson localization in 3D lattices. We show that these particles do undergo Anderson localization in 3D lattices if their hopping amplitudes are isotropic. In contrast, particles with anisotropic long-range hopping appear to follow the widely held expectations. We show these results by demonstrating that cooperative shielding extends to 3D cubic lattices with isotropic long-range hopping, but not with anisotropic long-range hopping and by computing the scaling behaviour of participation ratios and energy level statistics. Secondly, I develop a fully quantum mechanical model of molecular surface spin-echo experiments, which study surface properties and dynamics by scattering molecules off the sample surface. This model, based on the transfer matrix method, incorporates molecular hyperfine degrees of freedom, allows for the efficient calculation of the experimental signal given a molecule-surface scattering matrix, and permits us to begin addressing the inverse scattering problem. This fully quantum model is required to properly describe these experiments as the semi-classical methods used to describe experiments using helium-3 atoms do not take magnetic-field induced momentum changes into account. We apply our method to the case of ortho-hydrogen and then apply Bayesian optimization to determine the molecule-surface scattering matrix elements from a calculated signal, for a scattering matrix defined by three parameters. Our work sets the stage for Bayesian optimization to solve the inverse scattering problem for these experiments. Finally, I propose using Bayesian model calibration to improve the convergence of Monte Carlo calculations in regions where the sign problem or critical slowing down are an issue. Specifically, Bayesian
A Learning-Based Pre-Allocation Scheme for Low-Latency Access in Industrial Wireless Networks

To promote the revolution of Industrial Internet of Things, the next generation communication system is expected to provide latency critical services in industry. However, for the traditional downlink-centric cellular systems, the timely delivery of packets cannot be guaranteed by the default dynamic access scheme due to complex signaling procedure. A promising solution to low-latency access is the resource pre-allocation scheme based on the semi-persistent scheduling (SPS) technique, however at the expense of low spectrum utilization. Aiming to make those pre-allocated resources more rewarding, a so-called DPre, a predictive pre-allocation scheme based on learning for low-latency uplink access in industrial wireless networks, is proposed in this paper. It intelligently explores the correlation of devices’ access behavior and device utility diversity through sequential learning. Thus, flexible and judicious per-allocation decisions in both time and frequency domains can be made in an on-demand manner. Moreover, with the proposed temporal-spatial utility metric, DPre is guaranteed to reserve for more informative devices. Both theoretical analysis and simulation validate its high spectrum utilization through accurate prediction and the potential to pre-allocate for valuable packets.
Determinant Variables behind Motorcyclist Daily Favored Speed

Unbalanced in mobility and safety is a latent issue because although speeding has been associated with fatal crash but excessive speed without having been punished still occurs. This study focuses on how to bridge it by identifying the reason, triggering variables and explanatory variables of speeding behavior comprehensively. A number 159 of participants which is the same monitored motorcyclist participated in braking maneuver test was successfully interviewed. Their answer was analyzed using structural equation model. The results showed that: 1) speed choice was caused by trip purpose and triggered by rider’s perception about their braking and hazard detection ability, and level of familiarity with road, traffic and vehicle characteristics as well 2) such perception was built due to their riding frequency, meanwhile, that the age does not influence it is an interesting issue because it indicates that speeding behavior is customary to be a commonly matter. Moreover, speeding is an intentional risk taking behavior as riders accepted both potential advantages and possible disadvantages gained from speeding. Therefore, the required speed management, rider’s perception improvement, and the consequential implication due to the result of this study was discussed, including how to intervene such perception based on education, engineering and enforcement approaches.
Blow-up and global solubility in the classical sense of the Cauchy problem for a formally hyperbolic equation with a non-coercive source

We consider an abstract Cauchy problem with non-linear operator coefficients and prove the existence of a unique non-extendable classical solution. Under certain sufficient close-to-necessary conditions, we obtain finite-time blow-up conditions and upper and lower bounds for the blow-up time. Moreover, under certain sufficient close-to-necessary conditions, we obtain a result on the existence of a global-in-time solution independently of the size of the initial functions.
A ReMeDI for Microstructure Noise

We introduce the Realized moMents of Disjoint Increments (ReMeDI) paradigm to measure microstructure noise (the deviation of the observed asset prices from the fundamental values caused by market imperfections). We propose consistent estimators of arbitrary moments of the microstructure noise process based on high‐frequency data, where the noise process could be serially dependent, endogenous, and nonstationary. We characterize the limit distributions of the proposed estimators and construct confidence intervals under infill asymptotics. Our simulation and empirical studies show that the ReMeDI approach is very effective to measure the scale and the serial dependence of microstructure noise. Moreover, the estimators are quite robust to model specifications, sample sizes, and data frequencies.
Response of Peg IFN and Ribavarin in HIV-HCV Co-Infection

Background: Hepatitis C infection is one of most common co-infection in HIV. HIV infection influences the natural evolution of chronic hepatitis by higher rate of viral persistence, accelerating fibrosis, cirrhosis progressing to end-stage liver disease. Objective: This retrospective study was conducted in order to see the response to Peg- IFN α-2b with Ribavarin in HIV HCV co-infection. Material and Methods: Alanine aminotransferase and Aspartate Aminotransferase, HCV RNA quantitative and Genotype study, Fibroscan, CD4 were collected from the medical records of ART centre. Results: The mean baseline viral load (log10) was 5.76, 3.00 at 1 st month, 0.44 at 3 rd month, 0 at 6 th month and 12 th month. RVR was observed in 77.7%, EVR in 88.8%, SVR of 100% at 6 th and 12 th month. The mean OT and PT reduction at 3 rd month was 116.11(57.79%) and 132 (61.68%) respectively, at 6 month was 158 (78.65%) and 177.56 (82.97%) respectively, at 12 th month was 159(79.14%) and 176.56 (82.50%). Fibrosis at the start of treatment was 19.0 KPa, 10.00 KPa at 6 th month and 8.20 KPa at 12 th month. Conclusion: Study shows that SVR can be achieved in HCV HIV co infected patients with IFN and Ribavarin therapy which in turn reduces the morbidity and mortality due to liver disease. Inspite of virological response, few patients continue to have deranged AST and ALT and progressive liver fibrosis.
Natural convection in cylindrical containers with isothermal ring-shaped obstacles

By means of three-dimensional direct numerical simulations, we investigate the influence of the regular roughness of heated and cooled plates on the mean heat transport in a cylindrical Rayleigh–Bénard convection cell of aspect ratio one. The roughness is introduced by a set of isothermal obstacles, which are attached to the plates and have a form of concentric rings of the same width. The considered Prandtl number $Pr$ equals 1, the Rayleigh number $Ra$ varies from $10^{6}$ to $10^{8}$ , the number of rings on each plate is 1, 2, 4, 8 or 10, the height of the rings is varied from 1.5 % to 49 % of the cylinder height and the gap between the rings is varied from 1.5 % to 18.8 % of the cell diameter. Totally, 135 different cases are analysed. Direct numerical simulations show that with small $Ra$ and wide roughness rings, a small reduction of the mean heat transport (the Nusselt number $Nu$ ) is possible, but, in most cases, the presence of the heated and cooled obstacles generally leads to an increase of $Nu$ , compared to the case of classical Rayleigh–Bénard convection with smooth plates. When the rings are very tall and the gaps between them are sufficiently wide, the effective mean heat flux can be several times larger than in the smooth case. For a fixed geometry of the obstacles, the scaling exponent in the $Nu$ versus $Ra$ scaling first increases with growing $Ra$ up to approximately 0.5, but then smoothly decreases back towards the exponent in the no-obstacle case.
An Investigation of the Particulate Nature of Matter Unit according to Didactic Transposition Theory

The purpose of this study was to analyze how the content of particulate nature of matter unit is taught at 6 th grade in primary education, how it is reflected by teachers and how it is understood by students. The study was carried out in two different schools with 120 students and two science teachers. In accordance with the case study method, data were gathered from various sources. A questionnaire was administrated to the participants. In order to determine that the concept taught has been used, two science teachers were recorded, teacher’s examination questions were analyzed and an interview was given to the teachers. The results of the study indicated that teachers who worked at different schools and who depended on the same curriculum in their lessons introduced the subject in different ways to students. So, this led to different levels of understanding by the students.
Notes on power comparison between the sequential parallel comparison and other commonly-used designs

Abstract Because one excludes in the sequential parallel comparison design (SPCD) both placebo responders and patients assigned to the experimental treatment in period 1 from comparison in period 2, test procedures for the SPCD may lose efficiency. Assuming a random effects logistic regression model, we evaluate the loss of efficiency by comparing power of the SPCD with those for the parallel groups design with repeated measurements (PGDRM), simple crossover design (SCD), and parallel group design (PGD). Based on Monte Carlo simulations, we find that the increase in efficiency of the SPCD by use of the PGDRM and SCD can be significant, especially when the variation of responses between patients is large. The SPCD can be, however, of use if the relative treatment effect on placebo non-responders is of our primary interest.
Tetanus beim Hund

Tetanus (Wundstarrkrampf) ist eine Infektionskrankheit bei Säugetieren, die durch das Bakterium Clostridium tetani ausgelöst wird und zu schweren Muskelkrämpfen führt. Tetanus kommt selten, aber regelmäßig beim Hund vor und entsteht meistens infolge einer penetrierenden Wundinfektion. Die Therapie kann sehr zeitaufwendig und kostenintensiv sein. Obwohl Tetanus heilbar ist, können schwere Komplikationen auftreten, die unter Umständen zum Versterben des Patienten führen.
Correlation and path analysis for seed yield and its components in sesame (Sesamum indicum L.)

Sesame (Sesamum indicum L.) is one of the oldest cultivated crops in the world popularly referred as “Queen of Oilseeds” due to its high quality oil. A field study was undertaken at the Research farm of the Department of Plant Breeding and Genetics, Agricultural College and Research Institute, Madurai during the year 2015–16 to know the association among yield and its component traits in sesame. Thirty sesame hybrids obtained through Line x Tester analysis and their parents were evaluated for important quantitative traits such as days to 50 per cent flowering, plant height, height of first capsule, number of primary branches per plant, number of capsules on main stem, number of capsules per plant, capsule length, number of seeds per capsule, 1000 seed weight, oil content and seed yield per plant. Analysis of variance indicated the presence of genetic variability among the genotypes for all characters except days to 50% flowering. Correlation analysis indicated that the characters viz., number of capsules on main stem and number of capsules per plant had the highest positive correlation with seed yield per plant followed by plant height, number of seeds per capsule, number of primary branches per plant and height of first capsule. Path analysis exhibited that the trait number of capsules on main stem had very high direct effect on yield followed by capsule length, 1000 seed weight and number of seeds per capsule. Hence these traits are to be given due importance during selection programme for improving seed yield in sesame.
Dark Memories of the Past: Discovery of Ultra-Diffuse Objects around NGC 1068

Abstract We have searched for a sign of the past dynamical disturbance events on NGC 1068, an archetypical Type-2 Seyfert galaxy, using deep and wide optical imaging data by the Subaru telescope. The data taken by Hyper Suprime-Cam (HSC) as well as the archived data by Suprime-Cam reveal several faint outer structures of the galaxy, most of which were never reported before. We discover three large (re = 3 -5.5 kpc), extremely diffuse objects (UDOs) within 45 kpc from the center of NGC 1068. We suggest that two of these UDOs are actually a part of a large loop-like structure surrounding NGC 1068. Such an extremely faint loop or stream is the direct evidence for a past minor merger event. The third UDO has a distorted morphology, suggesting that it is under the influence of strong tidal field. Furthermore, we have identified another ultra-diffuse but compact (μ0,r > 25 mag arcsec-2, re ~ 0.8kpc) dwarf galaxy within ~140 kpc from NGC 1068. We speculate that this ultra-diffuse dwarf could be the object related to the ancient tidal disruption event (tidal dwarf) during the early mass assembly period of NGC 1068. We also detect an asymmetric outer one-arm structure emanated from the western edge of the outermost disk of NGC 1068 together with a ripple-like structure at the opposite side. These structures are also expected to arise in a late phase (up to several billion years ago) of a minor merger, according to numerical simulations. Our findings are consistent with the idea that the AGN activity in NGC 1068 is caused by a past minor merger.