Miracle-dz/UniFAR-FTUs huggingface dataset:
Atividade antioxidante in vitro e in vivo da polpa do jatobá-do-cerrado (Hymenaea stigonocarpa Mart.)

O metabolismo do oxigenio nas celulas ocasiona a producao de radicais livres, e se nao controlados, podem causar danos, provocando alteracoes na estrutura e funcoes celulares, estando envolvido em diversas patologias. Antioxidante pode ser definido como uma substância, que em baixas concentracoes, retarda ou previne a oxidacao de um substrato. Entre os alimentos que contem antioxidantes naturais, as frutas e os vegetais sao os que mais contribuem para o suprimento dietetico destes compostos. A flora do Cerrado possui diversas especies frutiferas com grande potencial agricola, consumidos pela populacao local, como o jatoba-do-cerrado. Este estudo teve como objetivo caracterizar a polpa do jatoba-do-cerrado, determinando quantidades de macronutrientes, teores de vitamina C e vitamina A, avaliar a atividade antioxidante in vitro dos extratos aquoso, etanolico e hidrocetonico atraves do metodo DPPH, quantificar os fenois totais, pelo metodo de Folin-Ciocalteau e taninos por Folin-Denis destes extratos; alem de determinar o potencial antioxidante in vivo do extrato hidrocetonico do jatoba-do-cerrado atraves da tecnica de TBARS. Na caracterizacao quimica do jatoba-do-cerrado, o fruto apresentou como principais constituintes glicidios totais e fibras. Para vitamina C foi encontrado valor de 138,78 mg.100g-1 e para β-caroteno 115,3 mg.100 g-1. O extrato etanolico apresentou menor poder antioxidante na avaliacao in vitro, seguido do aquoso e com maior potencial antioxidante no extrato hidrocetonico, com IC50 de 618,06 mgDPPH.g-1, 117,07 mgDPPH.g-1e <26,76 mgDPPH.g-1, respectivamente. O mesmo padrao foi seguido na extracao de fenois, onde o extrato etanolico apresentou 444,97 mgEAG.100g-1 de fruto, o extrato aquoso 669,64 mgEAG. 100g-1 e o hidrocetonico 786,18 mgEAG. 100g-1; e de taninos, onde o extrato etanolico apresentou 728,14 mgEAT. 100g-1 de fruto, o extrato aquoso 1518,43 mgEAT.100g-1 e o hidrocetonico 1838,69 mgEAT.100g-1. In vivo, o extrato hidrocetonico foi capaz de inibir a peroxidacao lipidica em 13,46% para administracao de 150 μL/mL/dia, 30,77% para 250 μL/mL/dia e de 62,92% para 500 μL/mL/dia, em relacao ao grupo controle, tendo demonstrado um significante potencial antioxidante in vitro e in vivo.
Effect of Dietary Inclusion of Alpha-Monolaurin on the Growth Performance, Lipid Peroxidation, and Immunity Response in Broilers

As the world population increases, there will be an increase in demand for poultry meat. To satisfy this requirement, sustainably will be a significant challenge as different countries in the world face different health problems. Additionally, for decades, poultry nutritionists have worked on sustainability in broiler manufacturing plants. The usage of short- and medium-chain fatty acids (MCFAs), which have positive effects as growth promoters and immunostimulants, is a pioneering way to decrease the cost of diets and improve environmentally friendly and sustainable production in this critical era. This study aimed at evaluating the influences of alpha-monoglyceride (alpha-monolaurin) on the growth performance, biochemical parameters, lipid profiles, liver oxidative stress, and immune response in broilers. Alpha-monolaurin was included at the levels of 0 (control), 0.25, 0.5, and 1 g/kg in broiler diets. After 33 days, dietary supplementation of alpha-monolaurin showed no impact on the feed intake; however, broilers fed 0.5 g/kg feed displayed a significantly reduced food conversion ratio, as compared to the control (p ≤ 0.05). However, body weight and body weight gain tended to increase after 0.25 g/kg alpha-monolaurin supplementation, as compared to other groups. The highest European production efficiency factor (EPEF) was obtained with 0.25 g/kg alpha-monolaurin supplementation. The ether extract utilization and spleen weight were improved substantially (p ≤ 0.05) by alpha-monolaurin supplementation, but muscle and other organ weights were not affected. Plasma alanine transaminase (ALT) was decreased significantly by alpha-monolaurin supplementation, while plasma total protein and albumin were enhanced (p ≤ 0.05). Interestingly, broilers fed alpha-monolaurin displayed an increased antibody titer of the Newcastle disease (ND) virus and muscle unsaturated fatty acid content, and a decreased liver content of malondialdehyde (MDA). It could be assumed that dietary supplementation of alpha-monolaurin positively impacts birds’ feed efficiency and immune response and can be applied as a natural immune enhancer in the broiler industry.
Misconception Profile of Prospective Physics Teachers Assessed from Various Representations of Electricity Subjects

Misconception is one of the important problems that often arise in education. The objective of this study is identify misconceptions in the subject of Electricty that occur in prospective teachers. The method used in this research is descriptive method. A total of 25 pre-service physics teacher candidates at a university in the Mataram City were involved in this study. The instrument used in this study was a three-tier test. This study use a total of 40 test items. These questions are classified into two types of representation, namely; verbal and figural. The results showed that 88.1% of prospective physics teachers had misconceptions on Kirchoff's first law, 94.8% misconceptions on Kichoff's second law concept, 91.7% misconceptions on Ohm's Law concept and 85.9% on electrical sources concepts. The results of the study show that 72.3% of prospective physics teachers had misconceptions on verbal type questions and 84.2% misconceptions on figural types
Primary HIV drug resistance among newly HIV type-1 diagnosed patients in St. Petersburg

There is concern that the widespread use of antiretroviral drugs (ARV) to treat human immunodeficiency virus 1 (HIV-1) infection may result in the emergence of transmission of drug-resistant virus among persons newly infected with HIV-1. Russia is one of a growing number of countries in the world where drug-resistant HIV is becoming a serious health problem because it has the potential to compromise the efficacy of antiretroviral therapy (ART) at the population level.Materials and methods. We performed a genetic analysis of the HIV-1 plasma derived pol gene among the newly diagnosed ART-naïve HIV-1 infected patients during the period from November 2018 to October 2019 in the St. Petersburg Clinical Infectious Diseases Hospital named after S.P. Botkin. We used reverse transcriptase polymerase chain reaction (RT-PCR) followed by direct sequencing of PCR products to determine the prevalence of primary drug resistance (PDR) conferring mutations. HIV-1 genotypes were determined by phylogenetic analysis.Results. The predominant HIV-1 subtype was A1 (87.2%), followed by B (11.8%) and CRF06_cpx (1%). The overall prevalence of PDR was 11%. Virus with known resistance-conferring mutations to any nucleoside reverse transcriptase inhibitors (NRTIs) was found in 8 individuals, to any non NRTIs in 5 subjects, and to any protease inhibitors in 1 case. Multidrug-resistant virus was identified in 2 individuals (2%). Conclusion. The distribution of HIV-1 genotypes in St. Petersburg, Russia is diverse. The emerging prevalence of PDR in ART-naïve patients demonstrates the significance of constant monitoring due to the challenges it presents towards treatment.
A CHAOTIC MULTILAYER LIF SCHEME TO MODEL THE PRIMARY VISUAL CORTEX

Precise mathematical modeling of the primary visual cortex (V1) is still a challenging problem. Due to the high similarity of visual system of cat and human, in this paper, we present a hybrid model to track the electrical responses of neurons that are measured by a multi-electrode array implanted in cat V1. The proposed model combines a stochastic phenomenological model with a multilayer leaky integrate-and-fire (LIF) model to predict V1 responses. Since all the existing visual cortex models do not capture the stochastic properties of synaptic changes, the proposed phenomenological model provides input currents for V1 by utilizing continuous chaotic neural equations with a quantization rule. Then a multilayer LIF model is presented to mimic the functions of lateral geniculate nucleus (LGN) and V1 neurons by their corresponding differential equations. The input current in these models is from the presynaptic neurons, which are computed using the LIF model. The LGN-V1 neuronal connections are adopted from previous studies, where the receptive fields (RFs) of LGN neurons converge onto elongated spatial structures that denote RFs of V1 neurons. The main purpose of this paper is to develop a short-term plasticity model that is more consistent with the nature of the LGN and V1 responses compared to state-of-the-art models. Previous studies have not incorporated the stochastic and quantized behaviors of neurons that in the recorded data of implemented electrodes. The experimental results show the ability of the proposed model to accurately predict spikes recorded experimentally, indicating the model outperforms the state-of-the-art method.
Contested Land Restitution Processes in Cambodia

Cambodia has experienced rapid economic growth due partly to excessive natural resource extraction. Land conflicts have been pervasive between local communities and companies that invest in land and other natural resources. Despite substantial research into land conflict resolution, knowledge about how land is returned to wronged parties and what happens to the returned land is fragmented. This review aims to provide a holistic understanding of land restitution in Cambodia by examining different types of land conflict, actors involved, and restitution processes. It provides both a macro perspective on land restitution and conflict-specific perspectives regarding how actors engage in different processes that produce various outcomes for disputants. We find both complications and ambivalence of the actors involved, particularly concerning their roles and influences in resolution processes. Specifically, we find contentious and ambivalent roles that non-governmental organisations (NGOs), donor agencies, and government authorities played in mixed results of resolution mechanisms in the cases that have yielded outcomes in terms of land restitution. Our review also suggests that the neoliberal policy that favours commoditisation of resources and the authoritarian patronage state disguised in a hybrid democracy allowed some grassroots resistance, civil society space, and responses from other concerned economic and political actors in the resolution processes. However, the state controlled and manipulated their engagement to benefit and maintain its economic and political bases, and it never allowed any transformative approach that could tackle the root causes of the problems. This understanding of complexities in land restitution is crucial to achieving land tenure security, particularly for local communities.
Air‐Water Exchange and Gas‐Particle Partitioning of Polycyclic Aromatic Hydrocarbons (PAHs) in Coral Reef Areas of the South China Sea

In this study, we collected gas, particulate, and surface water‐dissolved phase samples from 16 sites in the South China Sea from March 21 to April 12, 2018. Thereafter, all the samples were analyzed for the air‐water exchange and source apportionment of polycyclic aromatic hydrocarbons (PAHs). Thus, it was observed that the overall PAH concentrations in the water and gas phases were 8.0 ± 5.5 ng/L and 41.3 ± 24.7 ng/m3, respectively. Back trajectory simulation showed that the air masses in the South China Sea primarily originated from mainland China during the heating period, and air‐water exchange analysis showed net deposition from air to water, with fluxes ranging from −5.53 to −89.72 ng/m2/d. Further, the logarithmic gas‐particle partitioning coefficient (logKp) of the PAHs regressed linearly with the logarithmic subcooled liquid vapor pressure (log P0 L), with an average slope of −0.3 ± 0.13.
Fluorine Patterning in Room-Temperature Fluorinated Graphite Determined by Solid-State NMR and DFT

Fluorination of graphite at room temperature allows producing graphite fluoride compounds with a controlled content of fluorine. Here we combine solid-state NMR spectroscopy and DFT calculations to study the structure and reveal the fluorine patterning in graphite fluorides C2Fx intercalated with acetonitrile. Two major chemical states of carbon, namely the atoms covalently bound to fluorine and the bare atoms, are detected by 13C MAS NMR irrespective of the degree of fluorination. The data indicate that although all graphene sheets were subjected to fluorination, the near-planar configuration is preserved. The interaction between host C2Fx matrix and acetonitrile molecules is of van der Waals character. Decomposition of the 19F MAS NMR spectra reveals occurrence of at least six fluorine environments in each sample. By DFT calculations distinct 19F chemical shifts are attributed to isolated, end chain, “linked” (which include midchain, cyclic, and branched) CF groups and infinite CF arrays. The assignment.
Endowing plants with the capacity for autogenic nitrogen fixation

Biologically available nitrogen is a common limitation to crop productivity in modern agriculture. The endowment of higher plants with the ability to produce their own nitrogenous fertilizers has been attempted for nearly half a century1–4. Here we report that a minimal nitrogen fixation system from Paenibacillus polymyxa5–8 can be used to create an autogenic nitrogen-fixing plant through synthetic biology. We found that the genetically modified Arabidopsis containing the cassette of all nine nif genes (nifBHDKENXhesAnifV) showed some activity of nitrogenase and caused higher biomasses and chlorophyll contents than wild-type plants grown in low-nitrogen or nitrogen-free medium. Then we found that the engineered Arabidopsis displayed resistance to KCN and NaN3, two substrates of nitrogenase9. Furthermore, overexpression of electron transfer component10 in the engineered nif gene-carrying plants resulted in higher nitrogen fixation efficiency. Isotopic labeling analysis using liquid chromatography-tandem mass spectrometry showed that the fixed nitrogen can flow to amino acids and chlorophyll11, 12. This study represents a milestone toward realizing the goal of endowing plants with the capacity for self-fertilization.
Interrelations of Valence fluctuation frequencies and Force constants with the Debye temperature of a Chemical compound metal

Abstract: The relationship of valence fluctuation frequencies and force constants of the IR spectra of inorganic compounds with the metal element Debye temperature has been established. The Debye temperature plays the role of a genetic factor. Keywords: IR spectra, inorganic compounds, valence fluctuation requencies, force constant, Debye temperature.Infrared spectroscopy (IR) as a physical method for investigating the structure of molecules has been of widely spread in chemistry. Valence fluctuation frequen-cy is determined by the equation: νπµ=12 cK ,where c – velocity of light; K – connection (relation) force constant which can be regarded as the coefficient of elasticity for certain structural molecular fragments; μ ‒ reduced mass of a particle. Value K increases with the increase of connection multiplicity. For diatomic molecules HF, HCl, HBr and HI it was found that their dissociation energy in the force constant function is de-scribed by the first degree polynomial [1, 23–24]. According to the theory of fluctuation spectra of polyatomic molecules the atom displacement is as-sumed to be inversely proportional to the atom masses. In this regard, it is interesting to consider the impact of the metal nature on the valence fluctuation frequen-cies and force constants in the series of similar chemical compounds.The characteristic Debye temperature was chosen as the main parameter defining the nature metal Θ [2, 229], which appears to be a data carrier being a complex wave function. Physical properties of solids are connected with this parameter [3, 143–145]. Let’s show that the frequencies of valence fluctua-tions of the Group I
IoT an Overview: Advantage, Disadvantage and Applications

Internet of Things (IoT) is a well-known term that has gained massive encouragement over a few years. The future of the human race will be significantly influenced by the application of IoT over the coming years. The Internet is everywhere and touched almost every corner of the globe affecting our lives in previously unimagined ways. As a living entity, the Internet is constantly evolving, and now, an era of widespread connectivity through various smart devices (i.e., things) that connect with the Internet has begun. IoT looks more like an umbrella covering many protocols, technologies, and concepts that depend on specific industries. It will lead to the development of efficient mechanisms with high scalability and interoperability features among the things or objects. IoT is a reality that is progressing day by day, connecting billions of people and things to form a vast global network. IoT has applications in various domains like agriculture, industry, military, and personal spaces. There are potential research challenges and issues in IoT that act as a hurdle in the complete exploration of IoT in real-time implementation.
Predicting intraspecific trait variation among California's grasses

Plant species can show considerable morphological and functional variation along environmental gradients. This intraspecific trait variation (ITV) can have important consequences for community assembly, biotic interactions, ecosystem functions and responses to global change. However, directly measuring ITV across many species and wide geographic areas is often infeasible. Thus, a method to predict spatial variation in a species’ functional traits could be valuable. We measured specific leaf area (SLA), height and leaf area (LA) of grasses across California, covering 59 species at 230 sampling locations. We asked how these traits change along climate gradients within each species and used machine learning to predict local trait values for any species at any location based on phylogenetic position, local climate and that species’ mean traits. We then examined how much these local predictions alter patterns of assemblage‐level trait variation across the state. Most species exhibited higher SLA and grew taller at higher temperatures and produced larger leaves in drier conditions. The random forests predicted spatial variation in functional traits very accurately, with correlations up to 0.97. Because trait records were spatially biased towards warmer areas, and these areas tend to have higher SLA individuals within each species, species means of SLA were upwardly biased. As a result, using species means over‐estimates SLA in the cooler regions of the state. Our results also suggest that height may be substantially under‐predicted in the warmest areas. Synthesis. Using only species mean traits to characterize the functional composition of communities risks introducing substantial error into trait‐based estimates of ecosystem properties including decomposition rates or NPP. The high performance of random forests in predicting local trait values provides a way forward for estimating high‐resolution patterns of ITV without a massive data collection effort.
Recent Dark Pyroclastic Deposits on Mercury

Understanding the origin of volatiles and identifying opaque phases on the surface of Mercury are important tasks to be completed to understand the planet's building blocks and early evolution. Pyroclastic deposits, typically featuring higher and steeper reflectance spectra than the global average, are a bridge connecting the two tasks. We report the first discovery of dark pyroclastic deposits on Mercury, which exhibit identical morphology and geometry with typical reddish pyroclastics but comparable reflectances to low‐reflectance materials (LRM). Two Kuiperian‐aged dark pyroclastic deposits and many potential older ones are discovered. Reflectance spectra for one Kuiperian‐aged pyroclastic deposit exhibits an absorption feature attributable to graphite, indicating incomplete exsolution of C from the pre‐eruption magma and/or a dominance of blasted country rocks in the pyroclastics. Our second Kuiperian‐aged case and also ∼12.5% of the global LRM exhibit no graphite or other absorption features, and metallic iron may be the alternative darkening phase.
Radar Backscattering Over Sea Surface Oil Emulsions: Simulation and Observation

Oils floating on the sea surface can be observed as “dark” patches on radar images since the backscattered signals from the contaminated area are reduced in two dominant ways. First, oil slicks could damp short gravity and capillary waves on the sea surface responsible for backscattering energy. Second, the oil-covered sea surface permittivity decreases significantly if the oil film is sufficiently thick or mixed with seawater, i.e., oil emulsion. In this article, the geometry of the oil-covered sea surface is accounted for by the damping of sea waves, which is described by the model of local balance (MLB) combined with the sea wave spectrum. The radar backscattering is predicted by the advanced integral equation method (AIEM) model. The reflection coefficients are calculated based on a layered-medium model to analyze the impact of oil thickness and emulsions on the radar scattering. Numerical simulations demonstrate that: 1) the sensitivity to oil thickness and water content of the oil spills increases when the radar frequency increases; 2) the backscattering signals exhibit a nonlinear behavior with respect to oil thickness; and 3) high wind speed can generally narrow the difference between the radar backscattering from the clean and oil-covered sea surface, while the incidence angle has little effect. Numerical simulations are then compared with the multifrequency synthetic aperture radar observations acquired during the Gulf of Mexico Deepwater Horizon (DWH) oil spill accident and the 2011 Norwegian Clean Seas Association for Operating Companies (NOFO) oil-on-water exercise. Comparison results show that it is possible to estimate the oil thickness at reasonably good accuracy.
An updated global atmospheric paleo‐reanalysis covering the last 400 years

Data assimilation techniques are becoming increasingly popular for climate reconstruction. They benefit from estimating past climate states from both observation information and from model simulations. The first monthly global paleo‐reanalysis (EKF400) was generated over the 1600 and 2005 time period, and it provides estimates of several atmospheric fields. Here we present a new, considerably improved version of EKF400 (EKF400v2). EKF400v2 uses atmospheric‐only general circulation model simulations with a greatly extended observational network of early instrumental temperature and pressure data, documentary evidences and tree‐ring width and density proxy records. Furthermore, new observation types such as monthly precipitation amounts, number of wet days and coral proxy records were also included in the assimilation. In the version 2 system, the assimilation process has undergone methodological improvements such as the background‐error covariance matrix is estimated with a blending technique of a time‐dependent and a climatological covariance matrices. In general, the applied modifications resulted in enhanced reconstruction skill compared to version 1, especially in precipitation, sea‐level pressure and other variables beside the mostly assimilated temperature data, which already had high quality in the previous version. Additionally, two case studies are presented to demonstrate the applicability of EKF400v2 to analyse past climate variations and extreme events, as well as to investigate large‐scale climate dynamics.