Miracle-dz/UniFAR-FTUs huggingface dataset:
Shaping Effects on Magnetohydrodynamic Instabilities in a Tokamak Plasma Surrounded by a Resistive Wall

Shaping Effects on Magnetohydrodynamic Instabilities in a Tokamak Plasma Surrounded by a Resistive Wall Dov Joseph Rhodes The primary achievement of this study is the development of a new approach for optimizing the plasma shape in a tokamak fusion energy reactor. In the interest of producing the largest possible fusion power output, the shape is optimized to allow for the highest possible β the ratio of the fluid to magnetic pressure that can be sustained without the onset of magnetohydrodynamic (MHD) instabilities. To this end, the study explores the β-domain that is stabilizable by bulk plasma rotation, with rotation timescales comparable to the resistive dissipation time of the plasma tearing surfaces or of the surrounding vacuum chamber. Modern feedback control systems are able to apply external magnetic fields which are phased to emulate the effect of plasma rotation, making the technique applicable even to large tokamaks with inadequate plasma rotation. In order to explore how the rotationally stabilizable β-domain is affected by plasma shaping, a new semi-analytic MHD model of a tokamak has been developed. In addition to shaped toroidal tokamak geometry, the model contains dissipative effects resulting from resistivity in both the plasma and in the vacuum-chamber wall. The inclusion of plasma and wall resistivity introduces a lower βlimit, associated with the onset of an unstable MHD mode, which can become dominated by either resistive-plasma (tearing) or resistive-wall effects in different parts of the parameter space. The computation time for analyzing the mode stability is greatly reduced by approximating the plasma current to reside in a thin layer, a form known as a sharp-boundary model. With fast calculations that focus on the key physics of these MHD instabilities, the model is able to explore qualitative trends of rotational stabilizability over a broad range of plasma shapes. Results of this study predict that varying the elongation or triangularity of the plasma crosssection can lead to qualitatively different β-limits for the rotationally stabilizable domain. As the shape is varied, the upper bound in β for rotational stabilization is found to switch from resistive-wall dominated behavior to resistive-plasma dominated behavior. The optimal plasma shape, associated with the highest β-limit achievable with plasma rotation, is shown to be at the crossing point between the two domains. This discovery provides a basis for understanding existing experimental results and lays the groundwork for more quantitative studies with larger codes.
Finite difference lattice Boltzmann model based on the two-fluid theory for multicomponent fluids

ABSTRACT Previous two-fluid lattice Boltzmann (LB) models for multicomponent fluids are limited to mixtures with a low molecular weight ratio (i.e., below 9). In this paper, a finite difference-based two-fluid LB model is developed for mixtures with larger molecular weight ratios, which can be widely found in real applications. The basic idea is to use the finite difference scheme to discretize the discrete velocity LB equations derived from the two-fluid theory. The corresponding macroscopic hydrodynamic and diffusion equations are obtained by multiscale expansions. The adjusting strategy of model parameters significantly influencing the accuracy and stability of the LB model is discussed in detail. It is demonstrated that the present LB method is able to model multicomponent fluids with a high molecular weight ratio (e.g., 32). Further, the present model is applied to the simulation of multicomponent fluids in porous media.
Scars from a Previous Epidemic: Social Proximity to Zika and Fertility Intentions during the COVID-19 Pandemic

We examine whether women’s social proximity to Zika during the Zika epidemic predicts intentions to avoid a pregnancy because of the COVID-19 pandemic either directly or indirectly via subjective assessments of the pandemic. We apply path models on unique microdata from Brazil, the country most affected by Zika and an epicenter of COVID-19, to understand whether a novel infectious disease outbreak left lasting imprints shaping fertility intentions during a subsequent novel infectious disease outbreak. Findings show that Zika social proximity is associated with fertility intentions through an indirect path related to subjective assessment of the COVID-19 pandemic. These findings emerged regardless of whether a woman herself had or suspected she had Zika and speak to the transformative consequences of novel infectious disease outbreaks that go beyond mortality and health.
INFLUENCE OF INTELLECTUAL CAPITAL AND CSR DISCLOSURE ON COMPANY VALUE WITH FOREIGN OWNERSHIP STRUCTURE AS MODERATING VARIABLES

This study aims to determine the effect of intellectual capital and corporate social responsibility disclosure on firm value with foreign ownership structure as a moderating variable. The object of research used is all manufacturing companies listed on the Indonesia Stock Exchange (IDX) in 2018-2020. This research is a type of quantitative research with secondary data based on the company's annual report obtained from the official website of the Indonesia Stock Exchange. Data processing uses the SPSS 25 application program with multiple linear regression research models and moderated regression analysis (MRA). The results showed that intellectual capital had a negative effect on firm value and CSR disclosure had a significant positive effect on firm value, while foreign ownership structures were unable to moderate the influence of intellectual capital and CSR disclosure on firm value.
Mis-Classified, Binary, Endogenous Regressors: Identification and Inference

This paper studies identification and inference for the effect of a mis-classified, binary, endogenous regressor when a discrete-valued instrumental variable is available. We begin by showing that the only existing point identification result for this model is incorrect. We go on to derive the sharp identified set under mean independence assumptions for the instrument and measurement error, and that these fail to point identify the effect of interest. This motivates us to consider alternative and slightly stronger assumptions: we show that adding second and third moment independence assumptions suffices to identify the model. We then turn our attention to inference. We show that both our model, and related models from the literature that assume regressor exogeneity, suffer from weak identification when the effect of interest is small. To address this difficulty, we exploit the inequality restrictions that emerge from our derivation of the sharp identified set under mean independence only. These restrictions remain informative irrespective of the strength of identification. Combining these with the moment equalities that emerge from our identification result, we propose a robust inference procedure using tools from the moment inequality literature. Our method performs well in simulations.
Patients Undergoing Systemic Anti-Cancer Therapy Who Require Surgical Intervention: What Surgeons Need to Know

Simple Summary As cancer treatment continues to evolve and novel therapeutic agents are introduced, the landscape of associated safety concerns becomes more complex. It is common for patients with cancer to require some level of surgical procedure either as part of their disease management, for emergency treatment or in symptom control. This review aimed to evaluate the available evidence around surgical complications in patients receiving systemic anti-cancer therapy, examine the recommended risk mitigation options and highlight important safety considerations for patients who require surgery whilst receiving cancer treatment. Abstract As part of routine cancer care, patients may undergo elective surgery with the aim of long-term cure. Some of these patients will receive systemic anti-cancer therapy (SACT) in the neoadjuvant and adjuvant settings. The majority of patients, usually with locally advanced or metastatic disease, will receive SACT with palliative intent. These treatment options are expanding beyond traditional chemotherapy to include targeted therapies, immunotherapy, hormone therapy, radionuclide therapy and gene therapy. During treatment, some patients will require surgical intervention on an urgent or emergency basis. This narrative review examined the evidence base for SACT-associated surgical risk and the precautions that a surgical team should consider in patients undergoing SACT.
Split-Plot Central Composite Designs Robust to a Pair of Missing Observations

This study constructs robust split-plot central composite designs against missing pairs of observations. Split-plot central composite designs (CCD) consist of factorial (f), whole-plot axial (α), subplot axial (β), and center (c) points. A loss function in terms of determinant (D) criterion was formulated based on two different configurations of the factorial and axial parts; losses due to missing pairs of observations of these different categories of points were investigated. Robust split-plot central composite designs against missing pairs of observations were then developed under each of the two configurations. It was observed that the losses, L ff , L ββ , and L fβ , due respectively, to missing pairs of observations of the factorial, subplot axial, and, factorial and subplot axial points, were higher than the losses due to missing pairs of observations of the whole-plot axial and center points given by L αα and L cc respectively. Thus the factorial (f) and the subplot axial (β) points were found to be the most influential points in these designs while the whole-plot axial (α) and the center (c) points were less influential. This work has therefore identified and properly classified the losses due to missing design points in the split-plot CCD portions. In this way, the practitioner can avoid the experimental points having less influence from the full CCD experiments and this could lead to a possible increase in design efficiency. Keywords : Robustness, Split-plot Central Composite Designs, Missing observations, loss function
Diffusion approximation in a radiative transfer model for astrophysical flows

In this work, we present the diffusion approximation model for radiative transfer when we deal with optically thick astrophysical flows. Since the initial model is high CPU time demanding when dealing with its numerical approximation, solving this simpler system can provide a low cost strategy for the simulation of radiative media. We then use a finite-volume algorithm coupled with an implicit scheme for radiative contributions to solve this simplified system. Numerical experiments in the one-dimensional and two dimensional cases are presented to validate our numerical strategy and to prove the relevance of this asymptotic model.
Modern GPS diagnostic technique to determine and map soil hardpan for enhancing agricultural operation management

Among the undesirable effects of soil compaction is a measurable reduction in plant growth and crop yield. The prevailing belief is that compacted tillage pans are caused by repetitive farming practices, heavy tractors, tillage tools, and field traffic. This experiment was conducted to determine and map the hardpan layers across an agricultural field through advanced technologies of precision agriculture. These valuable techniques such as data logger, yield map, and data analysis of performance indicators were linked with accurate global positioning systems (GPS) datasets. These important technologies provided the farmers and helped them to identify and manage areas of the fields with higher compacted layers. Three ground speeds 4.3, 5.2, and 6.4 km h-1 were performed with two tillage depths 25 and 40 cm of a chisel plow. The effects of these two factors were studied to determine slippage percentage, field productivity, traction power, and fuel consumption. For the first shallow 25 cm depth, the results showed that increasing the speed from 4.3 to 5.2 and then to 6.4 km h-1 led to a significant increase in slippage percentage from 7.22 to 10.35 and then to 12.63%, respectively. Increasing the speed increases field productivity from 0.547 to 0.663 then to 0. 749 ha hour-1, and tractive power increases from 9.44 to 11.74, then to 13.24 hp. As a result, there was a significant increase in the fuel consumption rate from 18.44 to 20.15, then to 22.27 L hour-1, respectively. Changing the depth from 25 to 40 cm and increasing the practical speed from 4.3 to 5.2 and then to 6.4 km h-1 led to a significant increase in slippage percentage from 10.14 to 12.77 and then to 15.27%, and a significant increase in field productivity from 0.446 to 0.568 and then to 0.640 ha hour-1, respectively. This led to a significant increase in traction power from 12.72 to 13.36, then to 15.87 hp. Increasing the speed also brought a significant increase in fuel rate from 22.14 to 23.54 and then to 26.14 L ha-1, respectively. Based on this study, it was concluded that the use of this powerful approach was a useful methodology to reflect, determine, specify, and manage the regions of induced and hardpan zones by means of dataset analyses provided by the GPS for the desired field.
Species Identification and Mycotoxigenic Potential of Aspergillus Section Flavi Isolated from Maize Marketed in the Metropolitan Region of Asunción, Paraguay

Zea mays var. amylacea and Zea mays var. indurata are maize ecotypes from Paraguay. Aspergillus section Flavi is the main spoilage fungus of maize under storage conditions. Due to its large intraspecific genetic variability, the accurate identification of this fungal taxonomic group is difficult. In the present study, potential mycotoxigenic strains of Aspergillus section Flavi isolated from Z. mays var. indurata and Z. mays var. amylacea that are marketed in the metropolitan region of Asunción were identified by a polyphasic approach. Based on morphological characters, 211 isolates were confirmed to belong to Aspergillus section Flavi. A subset of 92 strains was identified as Aspergillus flavus by mass spectrometry MALDI-TOF and the strains were classified by MALDI-TOF MS into chemotypes based on their aflatoxins and cyclopiazonic acid production. According to the partial sequencing of ITS and CaM genes, a representative subset of 38 A. flavus strains was confirmed. Overall, 75 A. flavus strains (86%) were characterized as producers of aflatoxins. The co-occurrence of at least two mycotoxins (AF/ZEA, FUM/ZEA, and AF/ZEA/FUM) was detected for five of the Z. mays samples (63%). Considering the high mycological bioburden and mycotoxin contamination, maize marketed in the metropolitan region of Asunción constitutes a potential risk to food safety and public health and requires control measures.
Sums of two k th powers.

An important desideratum, in the additive theory of numbers, is a general understanding of the representation of positive integers äs the sum of two kth powers of nonnegative integers to match the theory of sums of two squares. Such knowledge would surely have profound and far reaching consequences. Yet at present even the widely held conjecture that when k ^ 5, no positive integer can be represented äs the sum of two kth powers in two essentially different ways, remains open. Indeed, no value of k is known for which this conjecture holds, nor even is it known that such a value of A: necessarily exists (see [7], §21.11 for an overview of what is known concerning this problem). In order to provide quantitative Information concerning the latter conjecture, in this paper we consider vk(x), which we define to be the number of positive integers not exceeding that can be expressed äs the sum of two non-negative kth powers in more than one way. Thus the estimate vk(x) = O(x) is trivial, and the conjecture above is equivalent to the assertion that vk(x) is zero when k ^ 5. In a formidable series of papers, Hooley [8], [9], [10], [11] has shewn that for odd k one has vk(x) = OEtk(x + ) through the use of a delicate sieve method, utilising estimates deriving from Deligne's resolution of the Riemann hypothesis for varieties over finite fields. Greaves [4] has also made contributions to the subject, and recently has described a very elegant and flexible argument (see [5], [6]), again employing sieve methods, which shows that when k ^ 3 one has vk(x) = OEtk(x + ). In contrast to Hooley's treatment, Greaves requires only Weil's proof of the Riemann hypothesis for finite fields, and for small k a wholly elementary estimate suffices for this aspect of his argument.
The Ability of Emergency Medical Service Staff to Predict Emergency Department Disposition: A Prospective Study

Purpose Paramedics’ decision to notify receiving hospitals and transport patients to an appropriate healthcare facility is based on the Prediction of Intensive Care Unit (ICU) and Hospital Admissions guide. This study aimed to assess the paramedics’ gestalt on both ward and ICU admission. Patients and Methods A prospective study was conducted at King Abdulaziz Medical City between September 2021 and March 2022. Paramedics were asked several questions related to the prediction of the patient’s hospital outcome, including emergency department (ED) discharge or hospital admission (ICU or ward). Additional data, such as the time of the ambulance’s arrival and the staff years of experience, were collected. The categorical characteristics are presented by frequency and percentage for each category. Results This study included 251 paramedics and 251 patients. The average age of the patients was 62 years. Of the patients, 32 (12.7%) were trauma, and 219 (87.3%) were non-trauma patients. Two-thirds of the patients (n=171, 68.1%) were predicted to be admitted to the hospital, and 80 (31.8%) of the EMS staff indicated that the patient do not need a hospital or an ambulance. The sensitivity, specificity, PPV, and NPV of the emergency medical service (EMS) staffs’ gestalt for patient admission to the hospital were, respectively (77%), (33%), (16%), and (90%). Further analysis was reported to defend the EMS staffs’ gestalt based on the level of EMS staff and the nature of the emergency (medical vs trauma), are reported. Conclusion Our study reports a low level of accurately predicting patient admission to the hospital, including the ICU. The results of this study have important implications for enhancing the accuracy of EMS staff predictive ability and ensuring that patients receive appropriate care promptly.
Special Packaging Materials from Recycled PET and Metallic Nano-Powders

The European methodology for plastics, as a feature of the EU’s circular economy activity plan, ought to support the decrease in plastic waste. The improvement of recycled plastics’ economics and quality is one important part of this action plan. Additionally, achieving the requirement that all plastic packaging sold in the EU by 2030 be recyclable or reusable is an important objective. This means that food packaging materials should be recycled in a closed loop at the end. One of the most significant engineering polymers is polyethylene terephthalate (PET), which is widely used. Due to its numerous crucial qualities, it has a wide variety of applications, from packaging to fibers. The thermoplastic polyolefin, primarily polyethylene and polypropylene (PP), is a popular choice utilized globally in a wide range of applications. In the first phase of the current experiment, the materials were obtained by hot pressing with the press machine. The reinforcer is made of Al nanopowder 800 nm and Fe nanopowder 790 nm and the quality of the recycled polymer was examined using Fourier transform infrared spectroscopy (FTIR), a scanning electron microscope (SEM), and differential scanning calorimetry (DSC). From DSC variation curves as a function of temperature, the values from the transformation processes (glass transition, crystallization, and melting) are obtained. SEM measurements revealed that the polymer composites with Al have smooth spherical particles while the ones with Fe have bigger rough spherical particles.
International Journal of Evaluation and Research in Education (IJERE)

Received Jun 13, 2022 Revised Apr 6, 2023 Accepted May 15, 2023 The coronavirus disease (COVID-19) pandemic has extremely caused massive disruptions in the education sector, and this led to the adoption of full-distance learning modalities across different educational institutions worldwide. However, studies are still needed within the context of the Philippines in terms of the impact of the pandemic on university students in light of a gradual limited face-to-face transition. This study determined the Filipino college students’ perceived impact of the COVID-19 pandemic and the prevalence of depression, anxiety, and stress symptomatology (DASS) among them. This cross-sectional study surveyed Filipino university students from a public higher education institution in the Philippines via convenience sampling. A total of 3,718 students participated in the study. Analysis showed that despite the respondents’ level of DASS being roughly similar and normal, half of them is experiencing mild to extremely severe symptomatology. Further results indicated that there is a statistically significant difference in their DASS when grouped according to their gender and class level. The findings will be beneficial to multiple stakeholders in designing data-driven policies that would maximize the possibility of a safe resumption of limited, gradual, and eventually, full face-to-face modalities.
S-transform and Fourier transform frequency spectra of broadband seismic signals

ABSTRACTThe S-transform is one way to transform a 1D seismogram into a 2D time-frequency analysis. We have investigated its use to compute seismic interpretive attributes, such as peak frequency and bandwidth. The S-transform normalizes a frequency-dependent Gaussian window by a factor proportional to the absolute value of frequency. This normalization biases spectral amplitudes toward higher frequency. At a given time, the S-transform spectrum has similar characteristics to the Fourier spectrum of the derivative of the waveform. For narrowband signals, this has little impact on the peak frequency of the time-frequency analysis. However, for broadband seismic signals, such as a Ricker wavelet, the S-transform peak frequency is significantly higher than the Fourier peak frequency and can thus be misleading. Numerical comparisons of spectra from a variety of waveforms support the general rule that S-transform peak frequencies are equal to or greater than Fourier-transform peak frequencies. Comparisons on re.