Miracle-dz/UniFAR-FTUs huggingface dataset:
Multiphase Flow Measurement using Earth ’ s Field Nuclear Magnetic Resonance

Multiphase flow metering has significant potential in a number of industries; particularly in the oil and gas industry with regards to assisting the development of marginal fields and monitoring subsea processing. We demonstrate the novel use of a nuclear magnetic resonance (NMR) multiphase flow meter consisting of a pre-polarising permanent magnet upstream of an Earth’s field NMR detection coil. The application of suitable signal analysis in interpreting the H NMR signal acquired from a flowing stream allows determination of the relevant velocity probability distribution. The accuracy of such velocity distributions is verified using superficial velocity measurements obtained from an in-line rotameter as well as comparison to theoretical turbulent velocity distributions. The flow metering system has been successfully applied to two phase air/water flows in order to simultaneously track both liquid holdup and liquid velocity with time in both the stratified and slug flow regimes.
Exploring research participants ’ perceptions of cardiovascular risk information — Room for improvement and empowerment

Objective: The objective of this study was to explore research participants’ (adults, age 50–65) perceptions of receiving cardiovascular risk information. Methods: Five focus group interviews (N = 31) were performed with research participants aged 50–65 who participated in the Swedish CArdioPulmonary BioImage Study (SCAPIS). The interviews were analyzed using qualitative content analysis. Results: The categories; the complexity of cardiovascular risk; insufficient presentation of test result; emotional responses; and health examinations provides confirmation, emerged. The test results were written in medical terms and lacked recommendations for further action which made it difficult for lay people to understand and use, and for some, also caused unnecessary worry. Conclusion: There was inadequate guidance concerning the implications of the test results, especially for participants without clinical findings. In order to allow research participants to obtain better cognitive and behavioral control, improvements are needed with regard to how personal risk information is communicated in research projects connected to health services. Practical implications: The participants largely relied on physical signs when assessing their own cardiovascular risk. Health examinations are crucial for helping to add nuance to individuals’ risk perceptions. For personal health information to have any real value for individuals, it must be designed from a user perspective. © 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Learning Joint Reconstruction of Hands and Manipulated Objects

Estimating hand-object manipulations is essential for in- terpreting and imitating human actions. Previous work has made significant progress towards reconstruction of hand poses and object shapes in isolation. Yet, reconstructing hands and objects during manipulation is a more challeng- ing task due to significant occlusions of both the hand and object. While presenting challenges, manipulations may also simplify the problem since the physics of contact re- stricts the space of valid hand-object configurations. For example, during manipulation, the hand and object should be in contact but not interpenetrate. In this work, we regu- larize the joint reconstruction of hands and objects with ma- nipulation constraints. We present an end-to-end learnable model that exploits a novel contact loss that favors phys- ically plausible hand-object constellations. Our approach improves grasp quality metrics over baselines, using RGB images as input. To train and evaluate the model, we also propose a new large-scale synthetic dataset, ObMan, with hand-object manipulations. We demonstrate the transfer- ability of ObMan-trained models to real data.
Phytochemical Screening of White Turi (Sesbania grandiflora (L.) Pers.) Leaves Extract in Various Extraction Methods

One of the Fabaceae family that has potential as medicinal plant is the white Turi plant (Sesbania grandiflora (L.) Pers. ). The purpose of this study was to determine the content of secondary metabolites which can be extracted using a various extraction methods.The extraction method used are digestion, percolation, reflux, soxhlet, infusion, and decoction extraction. The Turi plants used come from Mojosari, Mojokerto.The results of the initial phytochemical screening of white Turi leaf extract (Sesbania grandiflora (L.) Pers. ) Were extracts in six extraction methods containing alkaloids, saponins and tannins.In extracts using the digestion, soxhlet, and reflux method containing steroids.Meanwhile, the four extracts from the digestion, percolation, soxhlet, and reflux methods contain phenolic.And the infusion and decoction method extracts containing flavonoids and triterpenoids. The similarity of the phytochemical test results for each extract but with different intensity results.
THE IMPACT OF ICE CRYSTAL NUCLEATION MECHANISM ON CLOUD MICROPHYSICS AND DYNAMICS – NUMERICAL STUDY

Numerical simulations are carried out to investig ate the effect of ice crystals formation mechanism on the dynamics and mi crophysics of mixed-phase convective clouds. Three different in power convect iv clouds are simulated by 1-D numerical model with bulk-water microphysical param eterization. Two types of parameterizations of ice crystals formation are use d: primary nucleation given by Fletcher approximation and Hallet-Mossop mechanism (secondary nucleation) parameterized by constant enhancement factor in spe cific temperature band. The results reveal that precipitation starts earlier an d t lower levels in the three simulated clouds when secondary nucleation is taken into acco unt in comparison with the case when only primary (Fletcher) nucleation is used. Ho wever, the simulations indicate that the impact of ice nucleation (primary and seco ndary) depends on the power of the simulated cloud: there is an increase in the precip itat on of most powerful cloud and decrease in the other two clouds when the secondary nucleation is included.
Emotional intelligence among nursing students of a government campus in eastern Nepal

Background: Emotional intelligence is the ability to recognise one’s own feelings and those of others, for motivating ourselves, and for managing emotions well in ourselves and others. It is important to identify the level of emotional intelligence among nursing students for effective nursing leadership and quality nursing care. Objective: To assess the level of emotional intelligence of nursing students. Methods: A cross-sectional, descriptive research design was used to assess the level of emotional intelligence among 132 nursing students at Biratnagar Nursing Campus, Nepal. Data were collected by census method using self-administered structured questionnaire from 2018-05-13 to 2018-05-27. Emotional intelligence was measured using the Schutte Self Report Emotional Intelligence Test. Descriptive and inferential statistics (Chi-square test) was analysed to find out the association between emotional intelligence and demographic variables. Results: The findings showed that 96 (72.7%) of the respondents were from the 15 to 18 years age group. Similarly, 104 (78.8%) of the respondents had joined nursing education by their own choice. This study showed the majority 108 (81.8%) had a high level of emotional intelligence and 24 (18.2%) had a moderate level of emotional intelligence. There was no association between student’s level of emotional intelligence and their demographic variables. Conclusion: The participating nursing students had high levels of emotional intelligence. Owing to growing complexity in the healthcare environment and increasing expectations of clients in today’s competitive health care marketplace, the nursing students should be provided with emotional intelligence training and concepts should be incorporated into the nursing curriculum.
Age and compositional data of zircon from sepiolite drilling mud to identify contamination of ocean drilling samples

Zircon extracted from drilled oceanic rocks is increasingly used to answer geologic questions related to igneous and sedimentary sequences. Recent zircon studies using samples obtained from marine drill cores revealed that drilling muds used in the coring process may contaminate the samples. The JOIDES Resolution Science Operator of the International Ocean Discovery Program has been using two types of clays, sepiolite and attapulgite, which both have salt water viscosifier properties able to create a gel‐like slurry that carries drill cuttings out of the holes several hundred meters deep. The dominantly used drilling mud is sepiolite originating from southwestern Nevada, USA. This sepiolite contains abundant zircon crystals with U‐Pb ages ranging from 1.89 to 2889 Ma and continental trace element, δ18O, and εHf isotopic compositions. A dominant population of 11–16 Ma zircons in sepiolite drilling mud makes identification of contamination in drilled Neogene successions particularly challenging. Interpretation of zircon analyses related to ocean drilling should be cautious of zircon ages in violation of independently constrained age models and that have age populations overlapping those in the sepiolite. Because individual geochronologic and geochemical characteristics lack absolute discriminatory power, it is recommended to comprehensively analyze all dated zircon crystals from cores exposed to drill mud for trace element, δ18O, and εHf isotopic compositions. Zircon analyzed in situ (i.e., in petrographic sections) are assumed to be trustworthy.
Conservation Opportunities of the Land Restitution Program Areas in the Colombian Post-Conflict Period

The Land Restitution Program (LRP) is one of the greatest challenges for Colombia’s post-conflict period; it implies the recognition of the victims of dispossession or abandonment of lands and sets the discussion for future land use planning in these areas. The 1,119,959 Ha of LRP areas (August 2018) require knowledge of their state to promote land uses that favor the conservation of priority ecosystems and forest cover. Spatial and statistical analyzes where used to study the land-cover change in and around LRP areas at the national and regional level. An index of naturalness using a multi-criteria framework was used to identify important areas for conservation. Within areas, forest cover changes, resulting from deforestation and regeneration processes, decreased between 1990 and 2017. A total of 9.4% of their area show high naturalness, while 20% of them show high importance for conservation. The results show that, despite their dispossession/abandonment, these areas continued a deforestation process. Most of the areas show low naturalness, but conservation priorities can be identified in the Andes, Amazon, and Orinoco regions.
Inequality and welfare: Is Europe special?

We review the literature about inequality and welfare with a particular focus on whether Europe has a special sensitivity to these matters or specific outcomes. We argue that both statements are likely to be true which raises the possibility of a causal link. Europe has relatively good results in terms of inequality and welfare in comparison with other continents and more specifically America, because these issues matter for European people. Still, research needs to be fostered in at least 5 areas that are detailed at the end of this review. A specific attention is devoted to the contribution of other social sciences and natural sciences (cognitive science) to the development of our knowledge for these fields.
M82 - A radio continuum and polarisation study II. Polarisation and rotation measures

The composition and morphology of the interstellar medium in starburst galaxies has been well investigated, but the magnetic field properties are still uncertain. The nearby starburst galaxy M82 provides a unique opportunity to investigate the mechanisms leading to the amplification and reduction of turbulent and regular magnetic fields. Possible scenarios of the contribution of the magnetic field to the star-formation rate are evaluated. Archival data from the VLA and WSRT were combined and re-reduced to cover the wavelength regime between 3cm and 22cm. All observations revealed polarised emission in the inner part of the galaxy, while extended polarised emission up to a distance of 2kpc from the disk was only detected at 18cm and 22cm. The observations hint at a magnetised bar in the inner part of the galaxy. We calculate the mass inflow rate due to magnetic stress of the bar to 7.1 solar masses per year, which can be a significant contribution to the star-formation rate of M82 of approximately 13 solar masses per year. The halo shows polarised emission, which might be the remnant of a regular disk field. Indications for a helical field in the inner part of the outflow cone are provided. The coherence length of the magnetic field in the centre is similar to the size of giant molecular clouds. Using polarisation spectra more evidence for a close coupling of the ionised gas and the magnetic field as well as a two-phase magnetic field topology were found. Electron densities in the halo are similar to the ones found in the Milky Way. The magnetic field morphology is similar to the one in other nearby starburst galaxies with possible large-scale magnetic loops in the halo and a helical magnetic field inside the outflow cones. The special combination of a magnetic bar and a circumnuclear ring are able to significantly raise the star-formation rate in this galaxy by magnetic braking.
Tensor Networks for Lattice Gauge Theories and Atomic Quantum Simulation

We show that gauge invariant quantum link models, Abelian and non-Abelian, can be exactly described in terms of tensor networks states. Quantum link models represent an ideal bridge between high-energy to cold atom physics, as they can be used in cold-atoms in optical lattices to study lattice gauge theories. In this framework, we characterize the phase diagram of a (1+1)-d quantum link version of the Schwinger model in an external classical background electric field: the quantum phase transition from a charge and parity ordered phase with non-zero electric flux to a disordered one with a net zero electric flux configuration is described by the Ising universality class.
Systemic Contingent Claims Analysis – Estimating Market-Implied Systemic Risk

The recent global financial crisis has forced a re-examination of risk transmission in the financial sector and how it affects financial stability. Current macroprudential policy and surveillance (MPS) efforts are aimed establishing a regulatory framework that helps mitigate the risk from systemic linkages with a view towards enhancing the resilience of the financial sector. This paper presents a forward-looking framework ("Systemic CCA") to measure systemic solvency risk based on market-implied expected losses of financial institutions with practical applications for the financial sector risk management and the system-wide capital assessment in top-down stress testing. The suggested approach uses advanced contingent claims analysis (CCA) to generate aggregate estimates of the joint default risk of multiple institutions as a conditional tail expectation using multivariate extreme value theory (EVT). In addition, the framework also helps quantify the individual contributions to systemic risk and contingent liabilities of the financial sector during times of stress.
Artificial Intelligence for Smarter Power Systems: Fuzzy logic and neural networks

The urgent need to reduce carbon emissions is leading to growing use of renewable electricity, particularly from wind and photovoltaics. However, the intermittent nature of these power sources presents challenges to power systems, which need to ensure high and consistent power quality. Going forward, power systems also need to be able to respond to changes in loads, for example from EV charging. Neither production nor load changes can be predicted precisely, and so there is a degree of uncertainty or fuzziness. One way to meet these challenges is to use a kind of artificial intelligence - fuzzy logic. Fuzzy logic uses variables that may be any real number between 0 and 1, rather than either 0 or 1. It has obvious advantages when used for optimization of alternative and renewable energy systems. The parametric fuzzy algorithm is inherently adaptive because the coefficients can be altered to accommodate requirements and data availability. This book focuses on the use of fuzzy logic and neural networks to control power grids and adapt them to changing requirements. Chapters cover fuzzy inference, fuzzy logic-based control, feedback and feedforward neural networks, competitive and associate neural networks, and applications of fuzzy logic, deep learning and big data in power electronics and systems.
Virtual source applications to imaging and reservoir monitoring

The virtual source method is a breakthrough that allows us to image and monitor the subsurface in cases where surface seismic or VSP fail to deliver. In settings where the overburden is complex or changing, traditional time-lapse signals are weak or nonrepeatable, leading to ineffective seismic input to reservoir modeling and little of value generated by repeated seismic surveys. On the other hand, the virtual source method allows us to image under complex overburden, yields repeatable data for reservoir monitoring, enables shear seismic, and may help us “look ahead” as we drill.
Purification of a soluble casein kinase II from Dictyostelium discoideum lacking the fl subunit : regulation during proliferation and differentiation

A type II casein kinase has been purified from the soluble fraction of Dictyostelium discoideum vegetative cells. The enzyme has been purified 370 fold and behaves catalytically as casein kinase type II, in the sense that it utilizes GTP as well as ATP as phosphoryl donors, it is inhibited by low heparin concentrations and phosphorylates a specific peptide for CK 1I. It is a tetramer of 38 kDa-subunits with catalytic activity and ability to autophosphorylate in vitro. The comparison of this activity with the nuclear enzyme previously purified from the same organism indicates that both have the same molecular structure. Both enzymes have antigenic determinants in common with casein kinase II from bovine thymus, suggesting a high degree of conservation during evolution. Studies on the activity of this enzyme during early differentiation, and in the transition from quiescence to proliferation shows an increase in specific activity suggesting a crucial role for the enzyme in this organism. (Mol Cell Biochem ll8: 49-60, 1992)
Differentiation of Juxtaglomerular Apparatus Cells in Developing Nephrons in BALB /c Type Mouse Embryos

Gönderim Tarihi / Received: 18.11. 2020 Kabul Tarihi / Accepted: 04.08. 2021 DOI: 10.34087/cbusbed. 827212 Öz Giriş ve Amaç: Bu çalışmada BALB/c tipi fare embriyolarında nefron gelişmesi ve bu süreç sırasında juxtaglomerular apparatus (JGA) hücrelerinin farklılaşmaları incelenmiştir. Kalın ve ince epon kesitler sırasıyla ışık mikroskobu (IM) ve geçirimli elektron mikroskobu (TEM) ile incelenmiştir. Gereç ve Yöntemler: Nefron gelişmesi nefrojenik kesenin virgül şekilli yapı, S-şekilli yapı, prekapiller, olgunlaşmamış glomerulus ve olgunlaşmış glomerulus safhalarını geçmesiyle tamamlanır. JGA, IM düzeyinde nefron gelişmesinin olgunlaşmış glomerulus evresinde ayırt edilir. TEM gözlemlerine göre JGA’ yı oluşturan jukstaglomerular (JG) hücreler ile macula densa (MD) hücrelerinin farklılaşmalarına dair işaretler daha erken, prekapiller evrede görülür. Prekapiller evrede JG hücreleri karakterize eden gelişmiş Golgi sahaları içinde çok sayıda elektronca az yoğun küçük kesecikler ile az sayıda elektronca yoğun iri renin granülleri görülür. Olgunlaşmış glomerulus evresinde JG hücrelerdeki elektronca yoğun iri granüllerin sayısı artar. MD hücrelerinin farklılaşmalarını prekapiller evrede apikal yüzlerinde primer silia şekillenmesi işaret eder. Olgunlaşmış glomerulus evresinde MD hücrelerinin bazal ve lateral yüzlerinde derin zar katlanmaları şekillenir. Bu bölgelerde çok sayıda irileşmiş mitokondriler yer alır. Bulgular: Renin-Angiotensin sistemin düzenlenmesinde mutlak rol oynayan JG hücreler ile MD hücreleri prekapiller evrede, nefron gelişmesi tamamlanmadan ve kan damarları şekillenmeden önce farklılaşırlar. Sonuç: JGA hücrelerinin bu kadar erken farklılaşmaları renin-anjiotensin sisteminin hem böbrek gelişmesi ve hem de genel embriyo gelişmesindeki önemini işaret eder.
Current State and Development of Micro Propagation of Selected High Value Crops in Ethiopia: A Review

Rapid and mass propagation of clean and quality seedlings in horticulture industry becomes a priority for many countries to supply increasing demand of planting materials. Attempt of exploiting the benefit of heterosis from F1 hybrid and overcoming the shortage of planting materials associated with it needs proper intervention. Tissue culture techniques offer disease free, uniform, and large amount of planting materials. The technique is playing a significant role in advancing agriculture in many developing countries in which the current production has to be doubled by 2050. Specially, countries like Ethiopia in which population growth is very high and food insecurity persist, the need for improved production and productivity through the use of modern technologies become apparent. To feed the tremendously growing population, utilization of biotechnology tools such as micro-propagation in agriculture is helpful. Currently, in Ethiopia, somehow there is a fertile ground to exploit the possible advantage which may be acquired from biotechnology as in the case of sugarcane, banana, pineapple etc. micropropagation that boosted the production. This review is therefore to bold out the development of mass-propagation of selected crops and present the current status of protocol optimization of high value horticultural and spice crops. In the meantime, the development of private tissue culture laboratories makes an encouraging advancement where it has to be largely consolidated and highly linked with innovating laboratories to take over the responsibility of multiplying improved varieties. Thus, it can be concluded that despite the development of biotechnology remains at its early stage, promising results were obtained from micro propagation work and if adequate attention given to rapid development of protocol for mass propagation of high value cash crops, there exist untapped potential of biotechnology in Ethiopia.
The Complexity of Computing (Almost) Unitary Matrices With $\eps$-Copies of the Fourier Transform

The complexity of computing the Fourier transform is a longstanding open problem. Very recently, Ailon (2013, 2014, 2015) showed in a collection of papers that, roughly speaking, a speedup of the Fourier transform computation implies numerical ill-condition. The papers also quantify this tradeoff. The main method for proving these results is via a potential function called quasi-entropy, reminiscent of Shannon entropy. The quasi-entropy method opens new doors to understanding the computational complexity of the important Fourier transformation. However, it suffers from various obvious limitations. This paper, motivated by one such limitation, partly overcomes it, while at the same time sheds llight on new interesting, and problems on the intersection of computational complexity and group theory. The paper also explains why this research direction, if fruitful, has a chance of solving much bigger questions about the complexity of the Fourier transform.