Miracle-dz/UniFAR-FTUs huggingface dataset:
Preliminary Studies of Chemical and Physical Properties of Two Varieties of Avocado Seeds Grown in Chile

In Chile, the most cultivated avocado varieties are Hass and Negra de la Cruz. The increase in the production of fast food preparations, salads, and avocado oil has generated large amounts of seeds and husks as waste, which may constitute a possible new source of bioactive compounds, of great interest to the food and pharmaceutical industry. Therefore, the objective of this study was to determine different nutritional, biochemical, antimicrobial, and physical properties of the SH and SNC seeds grown in Chile. In SH and SNC, their nutritional composition, lipophilic components, and total phenols (PTs) were determined. The antioxidant and antibacterial activity of extracts were measured in different solvent combinations. In addition, the color change of seeds (ΔE) during the browning, the mechanical resistance to the cut, and their thermal transitions by differential calorimetry (DSC) were determined. The results indicated that SH has a higher protein content and lipophilic components. In the ethanol extract, SNC showed greater antiradical activity and is an inhibitor of Gram (+) bacteria. The SNC browning given by ΔEwas greater and adjusted well to kinetic and enzymatic models. The physical analyses of the seeds indicated that SNC presented higher cut resistance and lower transition temperature (Tg) with a lower thermal fusion of its lipids, which would be due to its higher unsaturated composition. These properties of SH and SNC can be useful for the agrifood, pharmaceutical, and chemical industries.
Chemical evaluation of Carcavelos fortified wine aged in Portuguese (Quercus pyrenaica) and French (Quercus robur) oak barrels at medium and high toast

Adega do Casal Manteiga is a winery, publicly owned by the Municipality of Oeiras that produces Carcavelos fortified wine. Carcavelos fortified wine is an appellation of origin and demarcated as D.O. P. (Denominação de Origem Protegida). This study examines the effects of barrels made from botanical species (Quercus pyrenaica, and Quercus robur) and toasting method (medium and high) on a single vintage wine that has been aged for 8 years. Twenty barrels were used, with five replicates for each factor. The barrels were fabricated and toasted using the same cooperage, J.M. Gonçalves in Portugal. Significant differences were seen between the species Q. robur and Q. pyrenaica, with an impact on total phenolic content, including both flavonoids and non-flavonoids. The total phenols of the wine aged in Q. pyrenaica barrels was significantly higher than in the Q. robur barrels, and Q. pyrenaica contained more flavonoids than Q. robur in medium and high toast barrels. Q. pyrenaica showed more non-flavonoid compounds than Q. robur inhigh and medium toasted barrels, but this difference in non-flavonoids was only statistically significant in the high toasted barrels. The degree of toasting had significant effects on the flavonoid content of the wine, as well as the tanning power. Flavonoid content increased for both Q. pyrenaica and Q. robur in the wines that were aged in high tasted barrels compared to those that were medium toasted. The tannin power decreased for both Q. pyrenaica and Q. robur when the toasting increased.
State of Charge Estimation for Lithium-Ion Batteries Based on Temperature-Dependent Second-Order RC Model

Accurate estimation of battery state of charge (SOC) is of great significance for extending battery life, improving battery utilization, and ensuring battery safety. Aiming to improve the accuracy of SOC estimation, in this paper, a temperature-dependent second-order RC equivalent circuit model is established for lithium-ion batteries, based on the battery electrical characteristics at different ambient temperatures. Then, a dual Kalman filter algorithm is proposed to estimate the battery SOC, using the proposed equivalent circuit model. The SOC estimation results are compared with the SOC value obtained from experiments, and the estimation errors under different temperature conditions are found to be within ±0.4%. These results prove that the proposed SOC estimation algorithm, based on a temperature-dependent second-order RC equivalent circuit model, provides accurate SOC estimation performance with high temperature adaptability and robustness.
In Vitro Evaluation of the Inhibitory Effect of Topical Ophthalmic Agents on Acanthamoeba Viability

Purpose To compare the antimicrobial effect of topical anesthetics, antivirals, antibiotics, and biocides on the viability of Acanthamoeba cysts and trophozoites in vitro. Methods Amoebicidal and cysticidal assays were performed against both trophozoites and cysts of Acanthamoeba castellanii (ATCC 50370) and Acanthamoeba polyphaga (ATCC 30461). Test agents included topical ophthalmic preparations of common anesthetics, antivirals, antibiotics, and biocides. Organisms were exposed to serial two-fold dilutions of the test compounds in the wells of a microtiter plate to examine the effect on Acanthamoeba spp. In addition, the toxicity of each of the test compounds was determined against a mammalian cell line. Results Proxymetacaine, oxybuprocaine, and especially tetracaine were all toxic to the trophozoites and cysts of Acanthamoeba spp. , but lidocaine was well tolerated. The presence of the benzalkonium chloride (BAC) preservative in levofloxacin caused a high level of toxicity to trophozoites and cysts. With the diamidines, the presence of BAC in the propamidine drops was responsible for the activity against Acanthamoeba spp. Hexamidine drops without BAC showed good activity against trophozoites, and the biguanides polyhexamethylene biguanide, chlorhexidine, alexidine, and octenidine all showed excellent activity against trophozoites and cysts of both species. Conclusions The antiamoebic effects of BAC, povidone iodine, and tetracaine are superior to the current diamidines and slightly inferior to the biguanides used in the treatment for Acanthamoeba keratitis. Translational Relevance Ophthalmologists should be aware that certain topical anesthetics and ophthalmic preparations containing BAC prior to specimen sampling may affect the viability of Acanthamoeba spp. in vivo, resulting in false-negative results in diagnostic tests.
Electrostatic Structure of the Electron Phase-space Holes Generated by the Electron Two-stream Instability with a Finite Width

Space satellite observations in an electron phase-space hole (electron hole) have shown that bipolar structures are discovered at the parallel cut of parallel electric field, while unipolar structures spring from the parallel cut of perpendicular electric field. Particle-in-cell (PIC) simulations have demonstrated that the electron bi-stream instability induces several electron holes during its nonlinear evolution. However, how the unipolar structure of the parallel cut of the perpendicular electric field formed in these electron holes is still an unsolved problem, especially in a strongly magnetized plasma (Ωe > ωpe, where Ωe is defined as electron gyrofrequency and ωpe is defined as plasma frequency, respectively). In this paper, with two-dimensional (2D) electrostatic PIC simulations, the evolution of the electron two-stream instability with a finite width in strongly magnetized plasma is investigated. Initially, those conditions lead to monochromatic electrostatic waves, and these waves coalesce with each other during their nonlinear evolution. At last, a solitary electrostatic structure is formed. In such an electron hole, a bipolar structure is formed in the parallel cut of parallel electric field, while a unipolar structure presents in the parallel cut of perpendicular electric field.
Northern Asian Pliocene–Pleistocene beremendiin shrews (Mammalia, Lipotyphla, Soricidae): a description of material from Russia (Siberia), Kazakhstan, and Mongolia and the paleobiology of Beremendia

Abstract. Beremendiini is an extinct group of soricine shrews that were widely distributed during the Pliocene and Pleistocene. Their occurrence in China has been investigated, but their presence in northern Asian regions has remained poorly studied. This paper analyzes 56 fossil remains of Beremendiini collected from 16 early Pliocene to early Pleistocene localities in Russia (Siberia), Kazakhstan, and Mongolia and shows the presence of two beremendiin species: Beremendia fissidens (Petényi, 1864) and Beremendia minor Rzebik-Kowalska, 1976. Northern Asian Beremendia considerably vary in size and qualitative characteristics, although most of the different states have been identified in European or Chinese specimens. Through the application of geometric morphometric techniques, mandibular shape analyses reveal similarities between the members of the beremendiin genera Peisorex Kowalski and Li, 1963, Beremendia Kormos, 1934, and Lunanosorex Jin and Kawamura, 1996. Shape analyses and comparisons of mandibular characteristics reveal ‘trophic' analogies between Beremendia and Blarina spp. and a new model of ‘Mandible Swinging and Sliding’ (MSS-model) accounting for the similarities in mandibular morphology with implications for the understanding of the diet of Beremendia.
Assessment of Solution Algorithms for LES of Turbulent Flows Using OpenFOAM

We validate and test two algorithms for the time integration of the Boussinesq form of the Navier—Stokes equations within the Large Eddy Simulation (LES) methodology for turbulent flows. The algorithms are implemented in the OpenFOAM framework. From one side, we have implemented an energy-conserving incremental-pressure Runge–Kutta (RK4) projection method for the solution of the Navier–Stokes equations together with a dynamic Lagrangian mixed model for momentum and scalar subgrid-scale (SGS) fluxes; from the other side we revisit the PISO algorithm present in OpenFOAM (pisoFoam) in conjunction with the dynamic eddy-viscosity model for SGS momentum fluxes and a Reynolds Analogy for the scalar SGS fluxes, and used for the study of turbulent channel flows and buoyancy-driven flows. In both cases the validity of the anisotropic filter function, suited for non-homogeneous hexahedral meshes, has been studied and proven to be useful for industrial LES. Preliminary tests on energy-conservation properties of the algorithms studied (without the inclusion of the subgrid-scale models) show the superiority of RK4 over pisoFoam, which exhibits dissipative features. We carried out additional tests for wall-bounded channel flow and for Rayleigh–Bènard convection in the turbulent regime, by running LES using both algorithms. Results show the RK4 algorithm together with the dynamic Lagrangian mixed model gives better results in the cases analyzed for both first- and second-order statistics. On the other hand, the dissipative features of pisoFoam detected in the previous tests reflect in a less accurate evaluation of the statistics of the turbulent field, although the presence of the subgrid-scale model improves the quality of the results compared to a correspondent coarse direct numerical simulation. In case of Rayleigh–Bénard convection, the results of pisoFoam improve with increasing values of Rayleigh number, and this may be attributed to the Reynolds Analogy used for the subgrid-scale temperature fluxes. Finally, we point out that the present analysis holds for hexahedral meshes. More research is need for extension of the methods proposed to general unstructured grids.
Nonparametric Bayesian inverse problems with Laplacian noise

The focus of this work are Bayesian inverse problems in an infinite-dimensional setting with Gaussian prior and data corrupted by additive Laplacian noise. In particular, the connection between Tikhonov–Phillips regularisation with an l^1-discrepancy term and Bayesian MAP estimation based upon a Laplacian noise model is investigated for linear problems as well as the consistency of MAP and CM estimator. For Laplacian infinite product measures on a separable Hilbert space, a result similar to the Cameron–Martin theorem for Gaussian measures is shown, stating the space of admissible shifts and the relative density of shifted Laplacian measures. Under certain conditions on the log-likelihood, MAP estimates in separable Hilbert spaces are characterised as minimisers of the Onsager–Machlup functional of the posterior distribution, which in this case has the form of a Tikhonov–Phillips functional with a discrepancy term given by the log-likehood and a squared norm penalty term. The behaviour of MAP and CM estimator is studied for a severely ill-posed linear problem; a generalised form of the inverse heat equation, under the presence of additive Laplacian noise. The posterior distribution is derived via Bayesian inference and both MAP and CM estimator are computed explicitly. The MAP estimator is shown to be asymptotically unbiased in a frequentist setting. An estimate for the convergence rate of the bias is stated under an analytic source condition. Moreover, an estimate for the convergence rate of the mean squared error of the MAP estimator is proved under an analytic source condition and in conjunction with an a priori parameter choice. This rate is then compared to the minimax rate in the fully Gaussian case. The behaviour and consistency of MAP and CM estimator is studied numerically for the classical inverse heat equation in one dimension with additive Laplacian noise. The empirical MSE of both estimators is observed to converge to zero in the small noise limit with the estimated rate if an analytic source condition is satisfied, whereas neither MAP nor CM estimator converge towards the true solution in mean square if only a Sobolev-type source condition is satisfied. Moreover, empirical confidence regions around both estimators are computed. Finally, a direct sampler for the posterior distribution is developed and used to compute credible regions around both estimators.
Mars Climate Sounder Observation of Mars' 2018 Global Dust Storm

The largest of dust storms on Mars are global dust events (GDEs) that affect essentially every aspect of the Martian atmosphere but do not occur in every Mars year. The Mars Climate Sounder globally observed the most recent GDE in 2018 throughout its lifecycle. The event started shortly after the southern spring equinox, with the first Mars Climate Sounder signature detected on 2 June 2018 (Ls = 186.2°). It grew into a mature global event by the end of June (Ls ~ 198°), with drastic changes to the atmospheric temperature, dust, and water ice profiles. It decayed over several months, reaching background conditions around southern summer solstice in October 2018. The 2018 GDE was very similar to the 2001 event, including the seasonal development and temperatures. GDEs appear to be distinct from even the largest regional dust storms. GDEs have 50‐Pa zonal tropical temperatures >220 K while no regional dust storm exceeds 205 K.
Pharmacological evaluation of Sphaeranthus indicus and Cinnamomum zeylanicum for anti-inflammatory activity in rats.

The present study was designed to investigate the Anti-inflammatory activity of alcoholic extracts of Sphaeranthus indicus L. flower heads and Cinnamomum zeylanicum bark in Carrageenan induced paw oedema in rats. Carrageenan–induced paw oedema in rats was induced essentially as described by Winter et al (1962). An injection was made of 0.1ml of 1% Carrageenan suspension into the right hind foot of each rat under the subplantar aponeurosis. The test groups of rats were treated intraperitoneally with 250 and 500 mg/kg of Cinnamomum zeylanicum and Sphaeranthus indicus extract 1hour before carrageenan injection. The control group received only the vehicle (0.2ml normal saline) and the reference group received Diclofenac sodium (5 mg / kg p.o.). The evaluation of anti-inflammatory activity carried out by inducing Paw oedema by injecting 0.1ml of 1% Carrageenan in physiological saline into the sub plantar tissues of the left hind paw of each rat. The extracts were administered orally 30 min prior to Carrageenan administration. The paw volume was measured at 60, 120, 180, 240 minutes by the mercury displacement method using a plethysmograph. The percentage inhibition of paw volume in drug treated group was compared with the control group was used as reference standard. The alcoholic extracts of Sphaeranthus indicus and Cinnamomum zeylanicum were found to possess good anti -inflammatory activity as compared to other extracts.
Properties of Inorganic Polymers Produced from Brick Waste and Metallurgical Slag

This paper explores the alkali activation potential of brick wastes and metallurgical slags. Inorganic polymers (IPs) were produced using an alkaline medium consisting of sodium hydroxide and sodium silicate solutions and the optimum synthesis conditions were determined. In this context, the variable parameters, such as solid to liquid (S/L) ratio, curing temperature (60, 80 and 90 °C) and ageing time (7 and 28 days) on the compressive strength and the morphology of the produced IPs were investigated. Specimens produced under the optimum synthesis conditions were subjected to high temperature firing and immersed in distilled water and acidic solutions for various periods of time, in order to assess their durability and structural integrity. The results showed that the IPs produced using a mix ratio of 50 wt % metallurgical slag and 50 wt % brick wastes, cured at 90 °C and aged for 7 days obtained the highest compressive strength (48.9 MPa). X-ray fluorescence analysis (XRF), particle size analysis, Fourier transform infrared spectroscopy (FTIR), mineralogical analysis (XRD), mercury intrusion porosimetry (MIP), scanning electron microscopy (SEM) and thermogravimetric (TG) analysis also confirmed the optimum microstructural characteristics and the chemical reactions that took place during synthesis. The overall results of this study indicate that the co-valorization of different waste streams, which are produced in large quantities and cause environmental problems if not properly managed, is a viable alternative for the production of binders or secondary construction materials with higher added value.
Using Information Flow for Whole System Understanding From Component Dynamics

Complex systems that exhibit emergent behaviors arise as a result of nonlinear interdependencies among multiple components. Characterizing how such whole system dynamics are sustained through multivariate interaction remains an open question. In this study, we propose an information flow‐based framework to investigate how the present state of any component arises as a result of the past interactions among interdependent variables, which is termed as causal history. Using a partitioning time lag, we divide this into immediate and distant causal history components and then characterize the information flow‐based interactions within these as self‐ and cross‐feedbacks. Such a partition allows us to characterize the information flow from the two feedbacks in both histories by using partial information decomposition as unique, synergistic, or redundant interactions. We employ this casual history analysis approach to investigate the information flows in a short‐memory coupled logistic model and a long‐memory observed stream chemistry dynamics. While the dynamics of the short‐memory system are mainly maintained by its recent historical states, the current state of each stream solute is sustained by self‐feedback‐dominated recent dynamics and cross‐dependency‐dominated earlier dynamics. The analysis suggests that the observed 1/f signature of each solute is a result of the interactions with other variables in the stream. Based on high‐density data streams, the approach developed here for investigating multivariate evolutionary dynamics provides an effective way to understand how components of dynamical system interact to create emergent whole system behavioral patterns such as long‐memory dependency.
Real-time sensing of bioaerosols: Review and current perspectives

Abstract Detection of bioaerosols, or primary biological aerosol particles (PBAPs), has become increasingly important for a wide variety of research communities and scientific questions. In particular, real-time (RT) techniques for autonomous, online detection and characterization of PBAP properties in both outdoor and indoor environments are becoming more commonplace and have opened avenues of research. With advances in technology, however, come challenges to standardize practices so that results are both reliable and comparable across technologies and users. Here, we present a critical review of major RT instrument classes that have been applied to PBAP research, especially with respect to environmental science, allergy monitoring, agriculture, public health, and national security. Eight major classes of RT techniques are covered, including the following: (i) fluorescence spectroscopy, (ii) elastic scattering, microscopy, and holography, (iii) Raman spectroscopy, (iv) mass spectrometry, (v) breakdown spectroscopy, (vi) remote sensing, (vii) microfluidic techniques, and (viii) paired aqueous techniques. For each class of technology we present technical limitations, misconceptions, and pitfalls, and also summarize best practices for operation, analysis, and reporting. The final section of the article presents pressing scientific questions and grand challenges for RT sensing of PBAP as well as recommendations for future work to encourage high-quality results and increased cross-community collaboration.
An experimental analysis of a solar-assisted heat pump (SAHP) system for heating a semisolar greenhouse

ABSTRACT Solar thermal is the primary source of heat and the heat pump is used as a back-up when sun is not shining with enough intensity. In this paper, theoretical and experimental studies were carried out on a solar-assisted heat pump (SAHP) under the metrological condition of Tabriz city (located in the northwest of Iran). The system mainly includes a flat-plate solar collector (totally of 1 m2), an evaporator with refrigerant R134a, a piston type compressor with a power of 3/4 hp, a condenser and a capillary tube. Tests were performed on four consecutive days from 24 to 27 December 2018. The effect of environmental parameters on the greenhouse temperature in day and night was compared with and without the heat pump using SAS9.1 software. The effect of various parameters such as solar radiation and environmental temperature, evaporation and condensation temperature, solar collector area, compressor speed, and number of collector cover has been analyzed in order to understand the coefficient of performance (COP) and efficiency of system ( ). The results showed that by increasing the solar radiation and temperature, COP and collector efficiency increases with relatively direct relation. According to the results, environment temperature, radiation intensity, evaporation temperature, collector area, and collector covers have a direct relationship with COP but condensation temperature and compressor speed have inverse relationship with it. In this study, has a direct relationship with environment temperature, evaporation temperature, compressor speed and collector covers, and the other three parameters have an inverse relationship with it. Statistical analysis showed that there was a significant difference between the temperature of the greenhouse with and without the heat pump. In addition, using the thermal screen at night was significant for keeping the storage temperature.