Miracle-dz/UniFAR-FTUs huggingface dataset:
Hypericum perforatum L. Nanoemulsion Mitigates Cisplatin-Induced Chemobrain via Reducing Neurobehavioral Alterations, Oxidative Stress, Neuroinflammation, and Apoptosis in Adult Rats

Cisplatin (Cis) is a potent chemotherapeutic agent; however, it is linked with oxidative stress, inflammation, and apoptosis, which may harmfully affect the brain. Hypericum perforatum L. (HP L.) is a strong medicinal plant, but its hydrophobic polyphenolic compounds limit its activity. Therefore, our study aimed to investigate the neuroprotective action of HP L. and its nanoemulsion (NE) against Cis-induced neurotoxicity. The prepared HP.NE was subjected to characterization. The droplet size distribution, surface charge, and morphology were evaluated. In addition, an in vitro dissolution study was conducted. Compared to Cis-intoxicated rats, HP L. and HP.NE-treated rats displayed improved motor activity and spatial working memory. They also showed an increase in their antioxidant defense system and a reduction in the levels of pro-inflammatory cytokines in the brain. Moreover, they showed an increase in the expression levels of the PON-3 and GPX genes, which are associated with a reduction in the brain levels of COX-2 and TP-53. These findings were confirmed by reducing the immunohistochemical expression of nuclear factor kappa (NF-ƘB) and enhanced Ki-67 levels. In conclusion, HP L. is a promising herb and could be used as an adjuvant candidate to ameliorate chemotherapeutic-induced neurotoxicity. Moreover, HP.NE has superior activity in lessening Cis-induced oxidative stress, inflammation, and apoptosis in brain tissue.
Efficiency of Monte Carlo EM and Simulated Maximum Likelihood in Two-Stage Hierarchical Models

Likelihood estimation in hierarchical models is often complicated by the fact that the likelihood function involves an analytically intractable integral. Numerical approximation to this integral is an option but it is generally not recommended when the integral dimension is high. An alternative approach is based on the ideas of Monte Carlo integration, which approximates the intractable integral by an empirical average based on simulations. This article investigates the efficiency of two Monte Carlo estimation methods, the Monte Carlo EM (MCEM) algorithm and simulated maximum likelihood (SML). We derive the asymptotic Monte Carlo errors of both methods and show that, even under the optimal SML importance sampling distribution, the efficiency of SML decreases rapidly (relative to that of MCEM) as the missing information about the unknown parameter increases. We illustrate our results in a simple mixed model example and perform a simulation study which shows that, compared to MCEM, SML can be extremely inefficient in practical applications.
Use of Oenological Tannins to Protect the Colour of Rosé Wine in a Bioprotection Strategy with Metschnikowia pulcherrima

Although bioprotection is now recognised as an alternative to SO2 for limiting microbial spoilage, it does not guarantee protection against oxidation. This limits its application, more specifically for rosé winemaking. Oenological tannins present antioxidant properties, which could represent an interesting alternative to SO2 to protect must and wines against oxidation. A combination of the inoculation of a bioprotectant yeast strain and the addition of oenological tannins was tested to eliminate sulfites during the pre-fermentative step of rosé winemaking. In this experiment carried out in a winery, two oenological tannins were compared: quebracho and gall nut tannins. The antioxidant efficiency of tannins was compared to that of SO2. Colorimetric assays associated with chemical analyses of anthocyanins and phenolic compounds confirmed that the use of bioprotection alone did not protect the wine from oxidation. An addition of oenological tannins on musts stabilized the colour of bioprotected rosé wine in a similar way that SO2 addition did. Quebracho tannins appeared more efficient than gall nut tannins. The colour differences observed cannot be explained either by the concentration or forms of anthocyanins. However, the addition of tannins led to better protection of oxidation-sensitive phenolic compounds comparable to that obtained with the addition of sulfites.
Resistance Allele Frequency of Helicoverpa zea to Vip3Aa Bacillus thuringiensis Protein in the Southeastern U.S.

Simple Summary Evolution of insect resistance is the main threat to the sustainability of the Bt technology. Helicoverpa zea (Boddie) (Lepidoptera: Noctuidae) is a major target pest of Bt corn and cotton. The purpose of this study is to determine the frequency of alleles conferring resistance to Vip3Aa in H. zea in the mid-south region of the U.S. Using a modified F2 screen method, we found the major resistance allele frequency for Vip3Aa in H. zea collected from four southern states during 2019–2020 was 0.0155, suggesting that the frequency of Vip3Aa resistance alleles in H. zea is not rare in the field. Abstract Helicoverpa zea is a major target pest of Bt crops expressing Cry and/or Vip3Aa proteins in the U.S.A. Widespread practical resistance of H. zea to the Cry1 and Cry2 proteins makes Vip3Aa the only effective Bt protein against this pest. Understanding the frequency of resistance alleles against Vip3Aa in field populations of H. zea is crucial for resistance management and the sustainability of Vip3Aa technology. Using a modified F2 screen method by crossing susceptible laboratory female moth with feral male moth of H. zea, we successfully screened a total of 24,576 neonates from 192 F2 families of H. zea collected from Arkansas, Louisiana, Mississippi, and Tennessee during 2019–2020. We found five F2 families containing ≥3rd instar survivors on the diagnostic concentration of 3.0 µg/cm2 Vip3Aa39. Dose-response bioassays confirmed the high levels of Vip3Aa resistance in these F2 families, with an estimated resistance ratio of >909.1-fold relative to the susceptible strain. The estimated resistance allele frequency against Vip3Aa in H. zea for these four southern states is 0.0155 with a 95% CI of 0.0057–0.0297. These data should provide critical information for understanding the risks of Vip3Aa resistance in H. zea and help design appropriate resistance management strategies for the sustainability of the Vip3Aa technology.
Masses and radii of white-dwarf stars. IV. The two-color diagram

Newly calculated model atmospheres, including both the effects of Lyman and Balmer line blanketing and the effects of convection, are used to determine the surface gravities of white-dwarf stars by the use of the separation of stars with different surface gravities in the Stroemgren and multichannel two-color diagrams. The mean surface gravity of 40 stars in the appropriate temperature range with multichannel colors is log g=8.04 +- 0.25, and the mean value for 35 stars with Stroemgren photomety is log g=7.86 +- 0.25. Comparison of all available investigations of white-dwarf masses shows that they are internally consistent with the possible exception of masses derived from gravitational redshifts, where a slight, marginally significant discrepancy may exist. The weighted mean of all mass determination is 0.75 M/sub sun/, allowing for selection effects. The 1 sigma range of white-dwarf masses extends from 0.5 M/sub sun/ to 1.0 M/sub sun/; we do not find evidence for a smaller mass range.
Mechanically induced Si layer transfer in hydrogen-implanted Si wafers

Mechanically induced layer transfer of single-crystal silicon by hydrogen ion implantation, low-temperature wafer bonding, and subsequent mechanical splitting of the implanted wafer has been investigated. The bond strength measurements using the crack opening method in room environment yield a surface energy of ⩾2000 mJ/m2 after exposure to oxygen plasma and subsequent hydrophilic silicon/silicon dioxide bonding at 200 °C. Mechanically induced layer transfer was carried out for silicon wafers implanted to a dose of 5×1016 H2/cm2 at 100 keV and annealed for 2 h at 200 °C. No feature was observed by atomic force microscopy (AFM) measurements on the unbonded free surface after this heat treatment. For lower doses of implantation, annealing at higher temperatures is required to enable the mechanical transfer. AFM measurements on the split silicon surface indicate that low-temperature wafer bonding and mechanical transfer yield a root mean square surface roughness of 4 nm which is less than in the standard Sma.
Neuromusic Education in Cognition and Quality-of-Life Promotion. An Outline

The new cognitive field of neuromusical education and research combines neuroscience and music. This article reviews recent research literature and discusses the application of neuroscience to music education, highlighting the positive effects of music education on the cognitive functions of the brain and the enhancement of an individual's quality of life. Consequently, the purpose of this study was to examine the value of music education in enhancing brain function and promoting quality of life, as well as its continued application in the contemporary educational environment.
Clinical Sensor-Based Fall Risk Assessment at an Orthopedic Clinic: A Case Study of the Staff’s Views on Utility and Effectiveness

In-hospital falls are a serious threat to patient security and fall risk assessment (FRA) is important to identify high-risk patients. Although sensor-based FRA (SFRA) can provide objective FRA, its clinical use is very limited and research to identify meaningful SFRA methods is required. This study aimed to investigate whether examples of SFRA methods might be relevant for FRA at an orthopedic clinic. Situations where SFRA might assist FRA were identified in a focus group interview with clinical staff. Thereafter, SFRA methods were identified in a literature review of SFRA methods developed for older adults. These were screened for potential relevance in the previously identified situations. Ten SFRA methods were considered potentially relevant in the identified FRA situations. The ten SFRA methods were presented to staff at the orthopedic clinic, and they provided their views on the SFRA methods by filling out a questionnaire. Clinical staff saw that several SFRA tasks could be clinically relevant and feasible, but also identified time constraints as a major barrier for clinical use of SFRA. The study indicates that SFRA methods developed for community-dwelling older adults may be relevant also for hospital inpatients and that effectiveness and efficiency are important for clinical use of SFRA.
On the wind-induced growth of slow water waves of finite steepness

Determining characteristic growth rates for water waves travelling more slowly than the wind has continued to be a key unresolved problem of air–sea interaction for over half a century. Analysis of previously reported and recently acquired laboratory wave data shows a systematic decline in normalized wave growth with increasing mean wave steepness that has not previously been identified. The normalized growth dynamic range is comparable with previously observed scatter amongst other laboratory data gathered in the slow wave range. Strong normalized growth rates are observed at low wave steepnesses, implying an efficient wave-coherent tangential stress contribution. Data obtained during this study show quantitative agreement with the predictions of others of the interactions between short wind waves and the longer lower-frequency waves. Measured normalized wave growth rates are consistent with numerically predicted growth due to wave drag augmented by significant wave-coherent tangential stress.
The Role of Shape in Modeling Gloss

Gloss is an important appearance attribute, and its exact perceptual mechanisms are yet to be fully understood. Previous works attempted to model the relationship between optical and perceptual gloss. The state-of-the-art studies demonstrate that the human visual system has a poor ability to recover surface reflectance and perceived gloss rather depends on image cues that are generated by a complex interaction among optical material properties, illumination, object shape and its surface geometry. Therefore, perceptual models defined on a particular shape, such as a sphere, may not generalize to other objects. To investigate shape-specific differences, we conducted a psychophysical exper-iment with a simple sphere and complex Lucy shapes. We scaled the magnitude of apparent gloss to study how the shape affects perceived gloss, and how the role of optical material properties varies between the shapes. We observed significant cross-shape differences, which we argue can be explained by the analysis of the image cues.
COVID-19 and Acute Ischemic Stroke Mortality and Clinical Outcomes among Hospitalized Patients in the United States: Insight from National Inpatient Sample

Coronavirus-19, primarily a respiratory virus, also affects the nervous system. Acute ischemic stroke (AIS) is a well-known complication among COVID-19 infections, but large-scale studies evaluating AIS outcomes related to COVID-19 infection remain limited. We used the National Inpatient Sample database to compare acute ischemic stroke patients with and without COVID-19. A total of 329,240 patients were included in the study: acute ischemic stroke with COVID-19 (n = 6665, 2.0%) and acute ischemic stroke without COVID-19 (n = 322,575, 98.0%). The primary outcome was in-hospital mortality. Secondary outcomes included mechanical ventilation, vasopressor use, mechanical thrombectomy, thrombolysis, seizure, acute venous thromboembolism, acute myocardial infarction, cardiac arrest, septic shock, acute kidney injury requiring hemodialysis, length of stay, mean total hospitalization charge, and disposition. Acute ischemic stroke patients who were COVID-19-positive had significantly increased in-hospital mortality compared to acute ischemic stroke patients without COVID-19 (16.9% vs. 4.1%, aOR: 2.5 [95% CI 1.7–3.6], p < 0.001). This cohort also had significantly increased mechanical ventilation use, acute venous thromboembolism, acute myocardial infarction, cardiac arrest, septic shock, acute kidney injury, length of stay, and mean total hospitalization charge. Further research regarding vaccination and therapies will be vital in reducing worse outcomes in patients with acute ischemic stroke and COVID-19.
Sediment microbial community structure associated to different ecological types of mangroves in Celestún, a coastal lagoon in the Yucatan Peninsula, Mexico

Mangroves are unique coastal ecosystems, which have many important ecological functions, as they are a reservoir of many marine species well adapted to saline conditions and are fundamental as sites of carbon storage. Although the microbial contribution to nutrient cycling in these ecosystems has been well recognized, there is a lack of information regarding the microbial composition and structure of different ecological types of mangrove forests. In this study, we characterized the microbial community (Bacteria and Archaea) in sediments associated with five ecological types of mangrove forests in a coastal lagoon dominated by Avicennia germinans and Rhizophora mangle, through 16S rRNA-V4 gene sequencing. Overall, Proteobacteria (51%), Chloroflexi (12%), Gemmatimonadetes (5%) and Planctomycetes (6%) were the most abundant bacterial phyla, while Thaumarchaeota (30%), Bathyarchaeota (21%) and Nanoarchaeaeota (18%) were the dominant archaeal phyla. The microbial composition associated with basin mangroves dominated by Avicennia germinans was significantly different from the other ecological types, which becomes relevant for restoration strategies.
A note on the zeros of the sections of a partial fraction

where z\, z2 and Zz are three distinct, noncollinear points, lie at the foci of the conic which touches the line segments (z2, Zz), ( 3, Zi) and (01, 02) in the points fi, f2 and f3 that divide these segments in the ratio m%\mZy mal mi, and m\\m2 respectively. If n = mi+m2+mz7 0, this conic is an ellipse or hyperbola according as nm\m2mz > 0 or < 0. If n = 0, the conic is a parabola whose axis is parallel to the line joining the origin to the point v = Wi0i+m202+W303. In the special case m1 = m2 = m3 = l, this theorem was proved geometrically by Bôcher and Grace. In the general case it was first deduced by Linfield as a corollary to the following theorem which in turn was established by the use of line coordinates and polar forms.
Nearest Neighbor Estimates of Entropy

SYNOPTIC ABSTRACT Motivated by the problems in molecular sciences, we introduce new nonparametric estimators of entropy which are based on the kth nearest neighbor distances between the n sample points, where k (< n – 1) is a fixed positive integer. These provide competing estimators to an estimator proposed by Kozachenko and Leonenko (1987), which is based on the first nearest neighbor distances of the sample points. These estimators are helpful in the evaluation of entropies of random vectors. We establish the asymptotic unbiasedness and consistency of the proposed estimators. For some standard distributions, we also investigate their performance for finite sample sizes using Monte Carlo simulations. The proposed estimators are applied to estimate the entropy of internal rotation in the methanol molecule, which can be characterized by a one-dimensional random vector, and of diethyl ether, which is described by a four-dimensional random vector.
Dynamics of Short-Term Univariate Forecast Error Covariances

Abstract The covariance equation based on second-order closure for dynamics governed by a general scalar nonlinear partial differential equation (PDE) is studied. If the governing dynamics involve n space dimensions, then the covariance equation is a PDE in 2n space dimensions. Solving this equation for n = 3 is therefore computationally infeasible. This is a hindrance to stochastic-dynamic prediction as well as to novel methods of data assimilation based on the Kalman filter. It is shown that the covariance equation can be solved approximately, to any desired accuracy, by solving instead an auxiliary system of PDEs in just n dimensions. The first of these is a dynamical equation for the variance field. Successive equations describe, to increasingly high order, the dynamics of the shape of either the covariance function or the correlation function for points separated by small distances. The second-order equation, for instance, describes the evolution of the correlation length (turbulent microscale) field.
Swift HARQ Based on Machine Learning for Latency Minimization in URLLC

Ultra-reliable low-latency communication (URLLC) has been introduced in the 5th Generation (5G) radios for mission-critical applications that demand strict reliability and latency traffic to guarantee the rapid delivery of short packets (up to 1 ms) with a success probability rate of 99.999%. The challenging reliability and latency requirements of URLLC have significant impact on the air-interface design, especially on the Hybrid Automatic Repeat reQuest (HARQ) mechanism. This study focuses on satisfying link latency requirements by reducing the delay that arises in the presence of the HARQ operation. To this end, we propose a Swift HARQ protocol empowered by machine learning techniques to estimate the decodability of a packet early enough within its maximum number of allowable retransmission attempts. This can allow the transmitter to react faster by dropping the non-decodable packets, or activating the repetition mode where parts of the HARQ feedback can be omitted. As shown through system-level simulations, the proposed model achieves a delay reduction of more than 50% compared to the traditional HARQ, and increases the system throughput by up to 40% when multiple HARQ retransmissions are required.
Hydromagnetic waves in rapidly rotating spherical shells generated by magnetic toroidal decay modes

Abstract Instabilities in the form of slow azimuthally travelling hydrodynamic waves in a rapidly rotating, stress-free, electrically conducting spherical fluid shell are investigated. The instabilities are generated by the toroidal decay mode of the lowest order or a combination of toroidal decay modes. It is found that the Elsasser number Λc at the onset of instability is always Λc = O(10) for various profiles of the basic magnetic field. It is also found that the hydromagnetic waves of the preferred instability propagate eastward [i.e. for solutions proportional to exp i(mφ + ωt), ω < 0] and are characterized by nearly two-dimensional columnar fluid motions attempting to satisfy the Proudman-Taylor theorem, indicating that the most rapidly growing magnetic disturbance arranges itself in such a way that the corresponding magnetic forces balance only the ageostrophic component of the Coriolis force. Except for the Stewartson-type velocity boundary layer at the equator of the inner core, the velocity and .
Temporal Logic Of Programs

Logic and Programs. - Historical Remarks. - Some Concepts and Notions of Classical Logic. - I. Propositional Temporal Logic. - 1. A Language TTA of Propositional Temporal Logic. - 2. Semantics of TTA. - 3. Temporal Logical Laws. - 4. Some Further Temporal Operators. - II. Axiomatization of Propositional Temporal Logic. - 5. The Formal System ? TA. - 6. Completeness of ? TA. - 7. Induction Principles. - III. First-Order Temporal Logic. - 8. First-Order Temporal Languages and Their Semantics. - 9. The Formal System ? TP. - 10. The Principle of Well-Founded Orderings. - 11. Additional Propositional Variables. - IV. Temporal Semantics of Programs. - 12. Programs. - 13. Execution Sequences of Programs. - 14. Program Axioms. - 15. Description of Program Properties. - V. Invariance and Precedence Properties of Programs. - 16. The Basic Invariant Method. - 17. Examples of Applications. - 18. Invariant Methods for Precedence Properties. - 19. Examples of Applications. - VI. Eventuality Properties of Programs. - 20. Fair Execution Sequences. - 21. The Finite Chain Reasoning Method. - 22. The Method of Well-Founded Orderings. - 23. Examples of Applications. - VII. Special Methods for Sequential Programs. - 24. Hoare's Calculus. - 25. The Intermittent Assertion Method. - 26. Examples of Applications. - Bibliographical Remarks. - Appendix: Table of Laws and Rules. - References.
Outdoor stereo camera system for the generation of real-world benchmark data sets

We describe a high-performance stereo camera system to capture image sequences with high temporal and spatial resolution for the evaluation of various image processing tasks. The system was primarily designed for complex outdoor and traffic scenes that frequently occur in the automotive industry, but is also suited for other applications. For this task the system is equipped with a very accurate inertial measurement unit and global positioning system, which provides exact camera movement and position data. The system is already in active use and has produced several terabytes of challenging image sequences which are partly available for download.
Two-fluid flow in sedimentary rock: simulation, transport and complexity

The macroscopic properties and structure of the flow of two immiscible fluids through Fontainebleau sandstone are studied by numerical simulation. The pore space geometry was obtained by X-ray microtomography (Kinney et al. 1993) and the numerical simulations were performed by a new lattice-gas cellular automaton method (Olson & Rothman 1995). We first validate the numerical method by showing that the drag on a cubic array of spherical drops matches theoretical predictions. As a further test, we present a comparison between computed relative permeability and experimental measurements on the same rock. We then present a study of fluid–fluid coupling; we find that it is significant, and that it appears to be reciprocal: the flux of one fluid due to forcing on the other is the same, regardless of which fluid is forced. Lastly, we characterize the complexity and organization of the flow by means of a statistical parameter, the skewness of the distribution of local velocities.