Miracle-dz/UniFAR-FTUs huggingface dataset:
Particle-hole configuration interaction and many-body perturbation theory: application to Hg+

The combination of configuration interaction and many-body perturbation theory methods (CI+MBPT) is extended to non-perturbatively include configurations with electron holes below the designated Fermi level, allowing us to treat systems where holes play an important role. For example, the method can treat valence-hole systems like Ir$^{17+}$, particle-hole excitations in noble gases, and difficult transitions such as the $6s \rightarrow 5d^{-1}6s^2$ optical clock transition in Hg$^+$. We take the latter system as our test case for the method and obtain very good accuracy (~1%) for the low-lying transition energies. The $\alpha$-dependence of these transitions is calculated and used to reinterpret the existing best laboratory limits on the time-dependence of the fine-structure constant.
ANTIOXIDANT AND ANTI-INFLAMMATORY POTENTIAL OF DAUCUS CAROTA L. SEED EXTRACTS

Daucus carota L. is locally known as “Kali Gajar” (black carrot) and is found abundantly in Pakistan. The aim of the current study is to investigate in vitro antioxidant and anti-inflammatory and in vivo anti-inflammatory effects of Daucus carota L. seed extracts . The hot extraction method was used to obtain different extracts . The physiochemical testing, FTIR and mineral content estimation of the seed powder were conducted. UV Visible profiling of the extracts was also done. The in vitro antioxidant activity was performed by using the variety of assays included DPPH, ferric reducing power, hydrogen peroxide scavenging capacity, and phosphomolybdenum test and ascorbic acid was used as a reference. The in vitro anti-inflammatory activity was assessed by inhibition of protein denaturation method and the diclofenac sodium was taken as a standard. The in vivo anti-inflammatory activity was examined by using carrageenan-induced rat paw edema model by taking aspirin as a standard. The results of the UV Visible spectroscopy and FTIR scans showed the presence of various functional groups. The existence of many important primary and secondary metabolites was also confirmed by phytochemical analysis. The physicochemical parameters of seed powder were found to be within the recommended range as stated in USP, 2015. The present study has verified the antioxidant effect of the plant seeds and methanolic extract was found to be more active as compared to the other extracts. The study outcomes have confirmed a significant in vitro inhibition of the protein denaturation and in vivo reduction of carrageenan-induced inflammation in the rat paw. It is concluded that the plant seeds have the potential to reduce inflammation, however toxicological and clinical studies are desired in the future.
Highly Integrated Multifunctional Antenna for Global Navigation Satellite System

This communication proposes a new highly integrated multifunctional global navigation satellite system (GNSS) antenna used for navigation or surveying high-precision area, the fourth-generation (4G) mobile communication, and short-distance wireless communication. The antenna consists of four elements, saying: 1) a low-profile navigation element on one substrate covering all the GNSS bands and 2) two long-term evolution multiple-input–multiple-output (LTE-MIMO) elements and one Wi-Fi element uniformly distributed on the edge of the substrate. This symmetrical configuration ensures the navigation element’s low axial ratio (AR) and radiation pattern symmetry, as well as navigation accuracy. In addition, to enhance the isolation between the GNSS element and other three elements under high integration, these three elements are designed to avoid resonating within the GNSS bands. The measured peak gains of the GNSS element are 6.0 dBi from 1.16 to 1.28 GHz and 6.5 dBi from 1.52 to 1.62 GHz. The −6 dB impedance bandwidth of the LTE-MIMO elements can cover 840–960, 1800–2200, and 2500–2700 MHz. The distance communication of the Wi-Fi element is 80 m. The experimental results indicate that the proposed multifunctional antenna features low profile, high integration, and wideband, implying potential application in the multifunctional satellite navigation system.
Classical analysis of the rotational dynamic of spiral galaxies

In this paper we study a stellar dynamic model for the stars' rotational-dynamics, with a distribution of its own mass, rotating around its center with a higher density like spiral galaxies happen, by means of a classical calculus of the rotation velocities of a particle around its rotation axis, inside a smoothed distribution of matter. The stars are supposed to be particles and their distribution in the galaxy is modelled as a matter distribution inversely proportional to its distance from its centre. Two kinds of matter distribution are supposed: one with constant density, and other with radial distribution. Two types of galaxy symmetry are also considered: spherical and oblate ellipsoidal. Using only classical mechanics arguments it is shown that the calculated velocity distribution inside the galaxy is similar to that obtained from astronomical observations, without the necessity of suppose the existence of dark matter or other phenomena.
Wild at Heart:-The Particle Astrophysics of the Galactic Centre

We consider the high-energy astrophysics of the inner ∼200 pc of the Galaxy. Our modelling of this region shows that the supernovae exploding here every few thousand years inject enough power to (i) sustain the steady-state, in situ population of cosmic rays (CRs) required to generate the region's non-thermal radio and TeV γ-ray emission; (ii) drive a powerful wind that advects non-thermal particles out of the inner Galactic Centre; (iii) supply the low-energy CRs whose Coulombic collisions sustain the temperature and ionization rate of the anomalously warm envelope H 2 detected throughout the Central Molecular Zone; (iv) accelerate the primary electrons which provide the extended, non-thermal radio emission seen over ∼150 pc scales above and below the plane (the Galactic Centre lobe); and (v) accelerate the primary protons and heavier ions which, advected to very large scales (up to ∼ 10 kpc), generate the recently identified Wilkinson Microwave Anisotropy Probe (WMAP) haze and corresponding Fermi haze/bubbles. Our modelling bounds the average magnetic field amplitude in the inner few degrees of the Galaxy to the range 60 < B/μG < 400 (at 2σ confidence) and shows that even TeV CRs likely do not have time to penetrate into the cores of the region's dense molecular clouds before the wind removes them from the region. This latter finding apparently disfavours scenarios in which CRs - in this starburst-like environment - act to substantially modify the conditions of star formation. We speculate that the wind we identify plays a crucial role in advecting low-energy positrons from the Galactic nucleus into the bulge, thereby explaining the extended morphology of the 511 keV line emission. We present extensive appendices reviewing the environmental conditions in the Galactic Centre, deriving the star formation and supernova rates there, and setting out the extensive prior evidence that exists, supporting the notion of a fast outflow from the region.
Diagram Genus, Generators, and Applications

Introduction The beginning of knot theory Reidemeister moves and invariants Combinatorial knot theory Genera of knots Overview of results Issues of presentation Further applications Preliminaries Knots and diagrams Crossing number and writhe Knotation and not-tables Seifert surfaces and genera Graphs Diagrammatic moves Braids and braid representations Link polynomials MWF inequality, Seifert graph, and graph index The signature Genus generators Knots vs. links The maximal number of generator crossings and ~-equivalence classes Generator crossing number inequalities An algorithm for special diagrams Proof of the inequalities Applications and improvements Generators of genus 4 Unknot diagrams, non-trivial polynomials, and achiral knots Some preparations and special cases Reduction of unknot diagrams Simplifications Examples Non-triviality of skein and Jones polynomial On the number of unknotting Reidemeister moves Achiral knot classification The signature Braid index of alternating knots Motivation and history Hidden Seifert circle problem Modifying the index Simplified regularization A conjecture Minimal string Bennequin surfaces Statement of result The restricted index Finding a minimal string Bennequin surface The Alexander polynomial of alternating knots Hoste's conjecture The log-concavity conjecture Complete linear relations by degree Outlook Legendrian invariants and braid index Minimal genus and fibering of canonical surfaces Wicks forms, markings, and enumeration of alternating knots by genus Crossing numbers Canonical genus bounds hyperbolic volume The relation between volume and the slN polynomial Everywhere equivalent links
TRAFFIC VOLUME STUDY AND CONGESTION SOLUTIONS

Traffic Engineering is used to accomplish secure and time bound commutation of persons and freights on road network which in turn relies on traffic flow. Due to an increase in the standard of living of middle-class families in the last decade, traffic volume has considerably increased. Thus, lack of proper management of roads can result in non-sustainable development. This work analyses traffic properties of Shivaji Marg, Janakpuri district centre, Delhi, India by performing direct manual counting method of survey. Objective of this study is to record traffic volume of the site for the weekdays from 8AM to 2PM, determine the morning peak hour and the morning peak hour factor using the standard passenger car unit (PCU) values. Also, this study attempts to determine the practical PCU values for different automobiles running on the site and calculate the corresponding morning peak hour factor. Lastly, this work comments on the congestion level of the site by comparing the recorded hourly traffic volume with the permissible volume per hour. The study found out that the practical PCU values differ from their corresponding standard values as it depends on the speed and space occupied by the automobiles which can vary from site to site. Also, it was found that the hourly traffic volume is within the permissible limit implying no congestion in the current scenario. There are, however, certain limitations of this work like absence of advanced technology, variation in the PCU values, time constraints. Nevertheless, this study will help the stakeholders in the construction sector to prioritise their resources towards factors which need to be improved to enhance the serviceability of the highway for present as well as for the future generation.
Heavy metals in the hydatid fluid and their effect on the fertility of Echinococcus granulosus

Heavy metals have been recognized as risk faction for living organisms. This study aims to evaluate the effects of some heavy metals including Cadmium, Cobalt, Lead, and Zinc on the fertility of hydatid cysts of Echinococcus granulosus isolated from the livers and lungs of cattle aged 2 to, more than 4 years, in Thi- Qar governorate. Fifty-five hydatid cysts (fertile & sterile) were isolated from the livers and lungs of thirty-three cattle. Flame Atomic Absorption Spectrophotometer (FAAS), was used to assess the concentration of heavy metals. The result data showed that there are significant differences, in most of the heavy metals in the fluid of sterile and fertile cysts. Heavy metal concentrations in hydatid cysts fluid extracted from the livers are significantly higher than their concentration in hydatid cysts fluid extracted from the lungs. This study concludes that these metals may represent a cause of hydatid cysts sterility through stimulating cellular stress by generating Reactive Oxygen Species or through their effect on the action of heat shock proteins.
A unique Fock quantization for fields in non-stationary spacetimes

In curved spacetimes, the lack of criteria for the construction of a unique quantization is a fundamental problem undermining the significance of the predictions of quantum field theory. Inequivalent quantizations lead to different physics. Recently, however, some uniqueness results have been obtained for fields in non-stationary settings. In particular, for vacua that are invariant under the background symmetries, a unitary implementation of the classical evolution suffices to pick up a unique Fock quantization in the case of Klein-Gordon fields with time-dependent mass, propagating in a static spacetime whose spatial sections are three-spheres. In fact, the field equation can be reinterpreted as describing the propagation in a Friedmann-Robertson-Walker spacetime after a suitable scaling of the field by a function of time. For this class of fields, we prove here an even stronger result about the Fock quantization: the uniqueness persists when one allows for linear time-dependent transformations of the field in order to account for a scaling by background functions. In total, paying attention to the dynamics, there exists a preferred choice of quantum field, and only one SO(4)-invariant Fock representation for it that respects the standard probabilistic interpretation along the evolution. The result has relevant implications e.g. in cosmology.
Framework para a Construção de Redes Filogenéticas em Ambiente de Computação de Alto Desempenho

No presente artigo é apresentado uma avaliação de desempenho de um Framework de Redes Filogenéticas no ambiente do supercomputador Santos Dumont. O trabalho reforça os benefícios de paralelizar o framework usando abordagens paralelas baseadas em Computação de Alta Vazão (CAV), e Computação de Alto Desempenho (CAD). Os resultados da execução paralela do framework proposto, demonstram que este tipo de experimento da bioinformática é apropriado para ser executado em ambientes de CAD; apesar de que nem todas as tarefas e programas componentes do framework tenham sido criados para usufruir de escalabilidade em ambientes de CAD, ou de técnicas de paralelismo em diferentes níveis. A análise comparativa da execução dos cinco pipelines de forma sequencial (como desenhado e usado originalmente por bioinformatas) apresentou um tempo estimado de 81, 67 minutos. Já a execução do mesmo experimento por meio do framework executa os cinco pipelines de forma paralela e usufruindo de um melhor gerenciamento das tarefas, gerando um tempo total de execução de 38,73 minutos. Essa melhora é de aproximadamente 2, 11 vezes em tempo de execução sugere que a utilização de um framework otimizado leva à diminuição do tempo computacional, à melhora de alocação de recursos e ao tempo de espera na alocação.
Effect of exogenous postharvest application with thyme and cinnamon oils on quality and storability of cherry tomato

Cherry tomato are classified as perishable fruits that deteriorate vastly after harvest. The use of natural and eco-friendly products, such as essential oils, for preserving the quality of fresh fruits and vegetables is highly demands for the consumers. Thus, the aim of this study was to evaluate the efficiency of exogenous postharvest application with thyme oil (1%), cinnamon oil (1%), and their combination on quality and shelf-life of cherry tomato stored for 28 days at 10°C and 90% RH. The results indicated that both essential oils were able to preserve the quality of cherry tomato by reducing weight loss, decay, appearance, and firmness. Additionally, essential oils application conserved total soluble solids, total carbohydrates, and total phenolic compounds. Lycopene and carotene contents were decreased by essential oils application. In conclusion, the application of both essential oils could be effective in maintain the quality and increase the shelf-life of cherry tomato during refrigerated storage.
SzHNN: A Novel and Scalable Deep Convolution Hybrid Neural Network Framework for Schizophrenia Detection Using Multichannel EEG

In the field of neuroscience, brain activity measurement and analysis are considered crucial areas. Schizophrenia (Sz) is a brain disorder that severely affects the thinking, behavior, and feelings of people worldwide. Thus, an accurate and rapid detection method is needed for proper care and quality treatment of the patients. Electroencephalography (EEG) is proved to be an efficient biomarker in Sz detection as it records brain activities. This article aims to improve the performance of EEG-based Sz detection using a deep-learning approach in remote applications. A hybrid deep-learning model identified as schizophrenia hybrid neural network (SzHNN), which is a combination of convolutional neural networks (CNNs) and long short-term memory (LSTM), has been proposed wherein the CNN for local feature extraction and LSTM for classification is utilized. In this article, the proposed model has been compared with several deep-learning and machine-learning-based models. All the models have been evaluated on two different datasets wherein dataset 1 consists of 19 subjects and dataset 2 consists of 16 subjects. The proposed model is also implemented with the Internet-of-Medical-Things (IoMT) framework for smart healthcare and remote-based applications. Several experiments have been conducted using various parametric settings on different frequency bands and different sets of electrodes on the scalp. Based on all the experiments, it is evident that the proposed hybrid model (SzHNN) provides the highest classification accuracy of 99.9% compared to other implemented models and existing models of previous papers. The proposed model overcomes the influence of different frequency bands and shows a better accuracy of 96.10% (dataset 1) and 91.00% (dataset 2) with only five electrodes. Subject-wise testing is also done for SzHNN, which proposes an accuracy of 90.11% and 89.60% for datasets 1 and 2, respectively.
Physical and Spectral Analysis of a Semi-Infinite Grounded Slab Illuminated by Plane Waves

In this article, we study the scattering problem of a truncated grounded slab illuminated by an arbitrarily incident $E_{\text{z}}$ -polarized plane wave. We present a solution using the novel semianalytical spectral method based on an original extension of the Wiener–Hopf (WH) technique that uses the concept of characteristic Green’s function and the Fredholm factorization technique. The combination of these mathematical tools allows to extend the capabilities of classical WH method to a new set of problems. One of the main benefits of the proposed semianalytical solution is that it allows the computation of field components similar to what is done with closed-form spectral solutions when available. Physical phenomena, such as the reflection, diffraction, and excitation of surface/leaky waves, are reported. Numerical results validate the proposed methodology.
He–Ne Laser Priming Enhances Drought Tolerance in Wheat through Differential Modification of Photosynthetic Pigments and Antioxidative Enzymes

Water stress seriously impacts agro-systems worldwide, severely affecting plant growth and crop productivity. Radio-priming agents such as lasers can induce stress tolerance in plants due to their physiological roles in growth and development. The potential protective role of He–Ne laser pretreatment (i.e., one, two and five min at 630 nm) was evaluated in germination and growth of two wheat varieties, FSD-2008 and Anaj-2017, under water-stressed (50% field capacity) environments. Drought and laser priming significantly affected the growth (shoot and shoot fresh and dry weight and lengths), grain yield (number of total and fertile tillers and 100-grain weight), biochemical attributes (total soluble proteins and total free amino acids), and ionic concentration of both tested wheat varieties. In this study, the 2 min laser priming treatments were most effective for protecting wheat plants from drought stress. While the prolonged treatment duration significantly inhibited growth. We conclude that laser pretreatment assisted wheat plants in sustaining biomass assimilation, growth and yield formation by protecting their pigments and key metabolites from drought-induced oxidative injury. This study suggested that 2 min of laser priming had a much better result than other time duration, i.e., 1 and 5 min of laser priming.
Multiconstraint Design of Single-Switch Resonant Converters Based on Extended Impedance Method

The single-switch resonant converter is attractive for low-cost high-frequency power conversion applications. However, the exiting design method needs complicated derivations to meet various practical demands, and it would become impossible as the circuit order increases. This article incorporates the extended impedance method to evaluate the potential designs. The practical demands can be mathematically represented by the inequality constraints. Given the design variables, the proposed design is able to improve the steady-state performance (like the system robustness, voltage gain, load insensitivity, efficiency, current stress, and voltage stress) for the existing resonant converters. A family of Class E inverters is designed to justify the generality and validity of the proposed design. The first case is a classical Class E inverter. The EIM-based design is able to improve the system robustness under 6% parameter variation. The second case is a Class E inverter with resonant input inductor. The EIM-based design is able to offer a wider voltage gain compared to the benchmark method. The last case is a Class E inverter using $\pi $ network. Compared to the previous design approach, the proposed method is able to find a better design point, whose light-load efficiency is improved by 5%.
Effective field theory of dark energy: a dynamical analysis

The effective field theory (EFT) of dark energy relies on three functions of time to describe the dynamics of background cosmology. The viability of these functions is investigated here by means of a thorough dynamical analysis. While the system is underdetermined, and one can always find a set of functions reproducing any expansion history, we are able to determine general compatibility conditions for these functions by requiring a viable background cosmology. In particular, we identify a set of variables that allows us to transform the non-autonomous system of equations into an infinite-dimensional one characterized by a significant recursive structure. We then analyze several autonomous sub-systems, obtained truncating the original one at increasingly higher dimension, that correspond to increasingly general models of dark energy and modified gravity. Furthermore, we exploit the recursive nature of the system to draw some general conclusions on the different cosmologies that can be recovered within the EFT formalism and the corresponding compatibility requirements for the EFT functions. The machinery that we set up serves different purposes. It offers a general scheme for performing dynamical analysis of dark energy and modified gravity models within the model independent framework of EFT; the general results, obtained with this technique, can be projected into specific models, as we show in one example. It also can be used to determine appropriate ansätze for the three EFT background functions when studying the dynamics of cosmological perturbations in the context of large scale structure tests of gravity.