Miracle-dz/UniFAR-FTUs huggingface dataset:
Numerical Study of Geotextile-Reinforced Flexible Pavement Overlying Low-Strength Subgrade

Construction of low-volume flexible pavements on low-strength subgrade poses design, construction, and maintenance challenges. While researchers have generally acknowledged the potential for geosynthetics as reinforcement material, they mainly focused on permanent deformation. Therefore, this paper presents a numerical study of low-volume flexible pavement reinforced with geotextile material under static loading to determine the improvement due to reinforcement based on three criteria: rutting performance, geosynthetic placement location, and base course thickness reduction. Based on the Finite Element Method (FEM), three-dimensional modeling using Abaqus/CAE software was performed. From the study, a significant decrease in rutting of up to 25.2% for the unreinforced pavement system was attained with geotextile reinforcement at base–subgrade and AC–base interfaces. The deflection response behavior of the pavement system is affected by the elastic modulus of the geosynthetic material, placement location, and the number of reinforcement layers. As a result of reinforcement, a base course thickness reduction of up to 30% was achieved without sacrificing the pavement’s structural integrity.
Upstream particles observed in the earth's foreshock region. Report for 1977-1978

Based primarily on an extensive study of fully three-dimensional plasma data, we describe the interrelationships of the upstream particles and plasma waves observed in the earth's foreshock region. The Univ. of Iowa LEPEDEAs detect ions and electrons from 1 eV to 45 keV over all except approx 2% of the unit sphere. Comparisons are made with high time resolution particle data obtained by the Univ. of Calif. (Berkeley) instruments and plasma wave data collected by the Univ. of Iowa plasma wave instruments on the two ISEE spacecraft. The presence of ion beams or dispersed ion distributions is found to be a sufficient condition for the presence of electrostatic and electromagnetic wave emissions. Detailed correlations of ions with plasma waves down to a tenth of an ion gyro-period indicate that ion-acoustic emission is enhanced when increased anisotropies and gyrophase organization are observed. Time aliasing effects limit the interpretation of velocity distributions.
Extraction of characteristic constants in QCD with perturbative and nonperturbative methods

Part I is devoted to the extraction of the QCD coupling from a bound state approach at low energy scales, where unphysical singularities make the RG-improved pQCD useless. Theoretical results on the meson spectrum based on a Bethe-Salpeter formalism adjusted for QCD have been exploited for the determination of experimental values of \alpha_s below 1GeV by comparison with the data. Results quantitatively confirm the recently developed Analytic Perturbation Theory approach to IR phenomena down to 200 MeV. Below this scale the extracted values give a hint about the vanishing of the QCD coupling as Q^2 goes to zero. In part II the possibility of inferring the spin-dependent gluon distribution from scaling violations is addressed by performing a NLO analysis of inclusive DIS data in pQCD. In addition, this work presents a phenomenological study of open-charm photoproduction in the polarized case, which is tailored to the COMPASS experiment in view of upcoming data. It is shown that current inclusive data allow a reliable determination of the gluon first moment, whereas the x-shape is significantly affected by the assumed functional form. On the other hand, studies of charm pseudo-data reveal that the open-charm approach should be capable to reduce the bias induced by the choice of input densities, and to pin down the x-shape of the gluon polarization.
THE HUBBLE SPACE TELESCOPE CLUSTER SUPERNOVA SURVEY. VI. THE VOLUMETRIC TYPE Ia SUPERNOVA RATE

We present a measurement of the volumetric Type Ia supernova (SN Ia) rate out to z ≃ 1.6 from the Hubble Space Telescope Cluster Supernova Survey. In observations spanning 189 orbits with the Advanced Camera for Surveys we discovered 29 SNe, of which approximately 20 are SNe Ia. Twelve of these SNe Ia are located in the foregrounds and backgrounds of the clusters targeted in the survey. Using these new data, we derive the volumetric SN Ia rate in four broad redshift bins, finding results consistent with previous measurements at z ≳ 1 and strengthening the case for an SN Ia rate that is ≳ 0.6 × 10−4 h370 yr−1 Mpc−3 at z ∼ 1 and flattening out at higher redshift. We provide SN candidates and efficiency calculations in a form that makes it easy to rebin and combine these results with other measurements for increased statistics. Finally, we compare the assumptions about host-galaxy dust extinction used in different high-redshift rate measurements, finding that different assumptions may induce significant systematic differences between measurements.
Numerical simulation of the nonlinear response of composite plates under combined thermal and acoustic loading

A time-domain study of the random response of a laminated plate subjected to combined acoustic and thermal loads is carried out. The features of this problem also include given uniform static inplane forces. The formulation takes into consideration a possible initial imperfection in the flatness of the plate. High decibel sound pressure levels along with high thermal gradients across thickness drive the plate response into nonlinear regimes. This calls for the analysis to use von Karman large deflection strain-displacement relationships. A finite element model that combines the von Karman strains with the first-order shear deformation plate theory is developed. The development of the analytical model can accommodate an anisotropic composite laminate built up of uniformly thick layers of orthotropic, linearly elastic laminae. The global system of finite element equations is then reduced to a modal system of equations. Numerical simulation using a single-step algorithm in the time-domain is then carried out to solve for the modal coordinates. Nonlinear algebraic equations within each time-step are solved by the Newton-Raphson method. The random gaussian filtered white noise load is generated using Monte Carlo simulation. The acoustic pressure distribution over the plate is capable of accounting for a grazing incidence wavefront. Numerical results are presented to study a variety of cases.
KROME - a package to embed chemistry in astrophysical simulations

Chemistry plays a key role in many astrophysical situations regulating the cooling and the thermal properties of the gas, which are relevant during gravitational collapse, the evolution of disks and the fragmentation process. In order to simplify the usage of chemical networks in large numerical simulations, we present the chemistry package KROME, consisting of a Python pre-processor which generates a subroutine for the solution of chemical networks which can be embedded in any numerical code. For the solution of the rate equations, we make use of the high-order solver DLSODES, which was shown to be both accurate and efficient for sparse networks, which are typical in astrophysical applications. KROME also provides a large set of physical processes connected to chemistry, including photochemistry, cooling, heating, dust treatment, and reverse kinetics. The package presented here already contains a network for primordial chemistry, a small metal network appropriate for the modelling of low metallicities environments, a detailed network for the modelling of molecular clouds, a network for planetary atmospheres, as well as a framework for the modelling of the dust grain population. In this paper, we present an extended test suite ranging from one-zone and 1D-models to first applications including cosmological simulations with ENZO and RAMSES and 3D collapse simulations with the FLASH code. The package presented here is publicly available at this http URL and this https URL
Assessing Combinational Generalization of Language Models in Biased Scenarios

In light of the prominence of Pre-trained Language Models (PLMs) across numerous downstream tasks, shedding light on what they learn is an important endeavor. Whereas previous work focuses on assessing in-domain knowledge, we evaluate the generalization ability in biased scenarios through component combinations where it could be easy for the PLMs to learn shortcuts from the training corpus. This would lead to poor performance on the testing corpus, which is combinationally reconstructed from the training components. The results show that PLMs are able to overcome such distribution shifts for specific tasks and with sufficient data. We further find that overfitting can lead the models to depend more on biases for prediction, thus hurting the combinational generalization ability of PLMs.
International Journal of Current Science Research and Review

This study aims to examine the relationships between investment strategies, investment manager characteristics, and corporate governance on the investment performance of PT Asuransi Jiwasraya (Persero)'s mutual funds investment from 2013 to 2018. The year 2013 marked the introduction of a new bancassurance product, which necessitated PT AJS to generate higher returns on investment in a short-term period. The sudden change in management in 2018 brought the mismanagement case to public attention. The analysis utilized a cross-sectional multilinear regression approach, allowing for the examination of multiple independent variables and their relationship with the dependent variable. Data for the study is collected from various sources, including annual reports, financial reports, prospectuses, and court documents. The relationships are assessed using seven regression models, with measures such as mean return, standard deviation, beta, Sharpe ratio, Treynor ratio, Jensen's Alpha, and state loss as the dependent variables. The regression models are estimated using SPSS software, and assumptions of linearity, independence of errors, homoscedasticity, and absence of multicollinearity are checked to ensure the validity of the analysis. Hypothesis testing is conducted to determine the statistical significance of the relationships, and measures such as R-squared, adjusted R-squared, and Fstatistic are used to assess the overall goodness-of-fit of the models. The findings indicate that the models for mean return, Treynor ratio, Jensen's Alpha, and state loss are statistically significant, demonstrating a strong correlation and high explanatory power. The results suggest that value investing and smaller market capitalization of constituent stocks have a positive association with investment performance. Additionally, reducing the presence of dividend-paying and suspect stocks is beneficial for investment performance. Factors such as management fees, education background, and years of experience show significant positive relationships, while investment horizon, asset size, and past performance have significant negative relationships with investment performance. The age of the investment manager does not exhibit a significant relationship. Furthermore, corporate governance demonstrates a negative relationship with investment performance. These findings provide valuable insights for improving investment performance and offer important lessons to prevent similar cases of mismanagement of investment funds in the future.
Thermoelectric Properties of Ca3Co2O6 Single Crystal

Single crystals of Ca3Co2O6 were synthesized in a molten K2CO3 flux. Electric resistivity (ρ) and Seebeck coefficient (S) of the crystals were measured along the c axis direction of the Ca3Co2O6 single crystal from room temperature to over 1000 K in air. The Ca3Co2O6 crystals showed p-type semiconducting behavior with ρ values of 2.0 Ω·cm at room temperature and 0.013 Ω·cm at 1000 K. The S values were +165 µV·K-1 at 300 K, +300 µV·K-1 at 440 K, and +169 µV·K-1 at 1000 K. The power factor (S2ρ-1) increased with temperature and attained 2.33×10-4 W·m-1·K-2 at 1000 K.
AN ANALYSIS OF THE DEUTERIUM FRACTIONATION OF STAR-FORMING CORES IN THE PERSEUS MOLECULAR CLOUD

We have performed a pointed survey of N2D+ 2–1 and N2D+ 3–2 emission toward 64 N2H+-bright starless and protostellar cores in the Perseus molecular cloud using the Arizona Radio Observatory Submillimeter Telescope and Kitt Peak 12 m telescope. We find a mean deuterium fractionation in N2H+, RD = N(N2D+)/N(N2H+), of 0.08, with a maximum RD = 0.2. In detected sources, we find no significant difference in the deuterium fractionation between starless and protostellar cores, nor between cores in clustered or isolated environments. We compare the deuterium fraction in N2H+ with parameters linked to advanced core evolution. We only find significant correlations between the deuterium fraction and increased H2 column density, as well as with increased central core density, for all cores. Toward protostellar sources, we additionally find a significant anticorrelation between RD and bolometric temperature. We show that the Perseus cores are characterized by low CO depletion values relative to previous studies of star-forming cores, similar to recent results in the Ophiuchus molecular cloud. We suggest that the low average CO depletion is the dominant mechanism that constrains the average deuterium fractionation in the Perseus cores to small values. While current equilibrium and dynamic chemical models are able to reproduce the range of deuterium fractionation values we find in Perseus, reproducing the scatter across the cores requires variation in parameters such as the ionization fraction or the ortho-to-para-H2 ratio across the cloud, or a range in core evolution timescales.
VARIABILITY OF DISK EMISSION IN PRE-MAIN SEQUENCE AND RELATED STARS. III. EXPLORING STRUCTURAL CHANGES IN THE PRE-TRANSITIONAL DISK IN HD 169142

We present near-IR (NIR) and far-UV observations of the pre-transitional (gapped) disk in HD 169142 using NASA's Infrared Telescope Facility and Hubble Space Telescope. The combination of our data along with existing data sets into the broadband spectral energy distribution reveals variability of up to 45% between ∼1.5–10 μm over a maximum timescale of 10 yr. All observations known to us separate into two distinct states corresponding to a high near-IR state in the pre-2000 epoch and a low state in the post-2000 epoch, indicating activity within the ≲1 AU region of the disk. Through analysis of the Pa β and Br γ lines in our data we derive a mass accretion rate in 2013 May of ≈ (1.5–2.7) × 10−9 M☉ yr−1. We present a theoretical modeling analysis of the disk in HD 169142 using Monte-Carlo radiative transfer simulation software to explore the conditions and perhaps signs of planetary formation in our collection of 24 yr of observations. We find that shifting the outer edge (r ≈ 0.3 AU) of the inner disk by 0.05 AU toward the star (in simulation of accretion and/or sculpting by forming planets) successfully reproduces the shift in NIR flux. We establish that the ∼40–70 AU dark ring imaged in the NIR by Quanz et al. and Momose et al. and at 7 mm by Osorio et al. may be reproduced with a 30% scaled density profile throughout the region, strengthening the link to this structure being dynamically cleared by one or more planetary mass bodies.
Serratiopeptidase: An integrated View of Multifaceted Therapeutic Enzyme

Microbial products have been used for the treatment of different diseases for many centuries. The serratiopeptidase enzyme provides a new hope for COVID-19-infected patients. Nowadays, anti-inflammatory drugs are easy to obtain at minimal expenditure from microbial sources. Serratia sp. is identified as one of the most efficient bacteria produced from serratiopeptidase. Screening for new and efficient bacterial strains from different sources has been of interest in recent years. Serratiopeptidase remains the most well-known anti-inflammatory drug of choice. Serratiopeptidase is a cheaper and safer anti-inflammatory drug alternative to NSAIDs. The multifaceted properties of serratiopeptidase may lead towards arthritis, diabetes, cancer and thrombolytic treatments. Existing serratiopeptidase treatments in combination with antibiotics are popular in the treatment of postoperative swelling. Although an exclusive number of serratiopeptidase-producing strains have been derived, there is an urge for new recombinant strains to enhance the production of the enzyme. This review explores the properties of serratiopeptidase, different therapeutic aspects, industrial production, and various analytical techniques used in enzyme recovery. In addition, the review highlights the therapeutic and clinical aspects of the serratiopeptidase enzyme to combat COVID-19-induced respiratory syndrome.
The Role of Essential Oils on Improving Elderly Skin Hydration

Skin hydration has an important role in various diseases of the elderly. Skin hydration is determined by two factors, namely the ability of the stratum corneum (SC) to retain water due to natural moisturizing factors and the barrier function of the intercellular lipid lamellar structure and tight junctions. Several parameters are usually used for skin hydration, such as surface water content (SWC) and trans-epidermal water loss (TEWL). With age, several changes in the skin affect hydration, including changes in the cellular and intercellular lipid matrix, skin pH, SC protease enzymes, decreased sebaceous and sweat gland activity, and decreased estrogen levels in women. Therefore, a moisturizer is needed to minimize the unwanted effects of some of these changes. Selection of the type of moisturizer is very important for the elderly, especially moisturizers with antiseptic, antibacterial, and antioxidant effects are highly recommended. The ability of essential oils as components of moisturizers has been proven in various studies. Essential oils can improve the function of the epidermal barrier and help prevent transepidermal water loss. Therefore, this literature review discusses the role of various essential oils, namely green tea oils (Camellia sinensis or Camellia assamica), virgin coconut oils (Cocos nucifera L.), evening primrose oils (Oenothera paradoxa), grape seed oils (Vitis vinifera L.) . ), rosemary oils (Rosmarinus officinalis L.), immortelle oils (Helichrysum italicum), and cannabis seeds oils (Cannabis sativa L.) on improving skin hydration in the elderly.
Hardy-Carleman type inequalities for Dirac operators

General Hardy-Carleman type inequalities for Dirac operators are proved. New inequalities are derived involving particular traditionally used weight functions. In particular, a version of the Agmon inequality and Treve type inequalities is established. The case of a Dirac particle in a (potential) magnetic field is also considered. The methods used are direct and based on quadratic form techniques.
Neurotrophic factor-based pharmacological approaches in neurological disorders

Aging is a physiological event dependent on multiple pathways that are linked to lifespan and processes leading to cognitive decline. This process represents the major risk factor for aging-related diseases such as Alzheimer’s disease, Parkinson’s disease, and ischemic stroke. The incidence of all these pathologies increases exponentially with age. Research on aging biology has currently focused on elucidating molecular mechanisms leading to the development of those pathologies. Cognitive deficit and neurodegeneration, common features of aging-related pathologies, are related to the alteration of the activity and levels of neurotrophic factors, such as brain-derived neurotrophic factor, nerve growth factor, and glial cell-derived neurotrophic factor. For this reason, treatments that modulate neurotrophin levels have acquired a great deal of interest in preventing neurodegeneration and promoting neural regeneration in several neurological diseases. Those treatments include both the direct administration of neurotrophic factors and the induced expression with viral vectors, neurotrophins’ binding with biomaterials or other molecules to increase their bioavailability but also cell-based therapies. Considering neurotrophins’ crucial role in aging pathologies, here we discuss the involvement of several neurotrophic factors in the most common brain aging-related diseases and the most recent therapeutic approaches that provide direct and sustained neurotrophic support.
The Jacobian cocycle and equidistribution towards the Green current

Given a holomorphic self-map of complex projective space of degree larger than one, we prove that there exists a finite collection of totally invariant algebraic sets with the following property: given any positive closed (1,1)-current of mass 1 with no mass on any element of this family, the sequence of normalized pull-backs of the current converges to the Green current. Under suitable geometric conditions on the collection of totally invariant algebraic sets, we prove a sharper equidistribution result.
Finding creative drivers of advertising effectiveness with modern data analysis

The Modern Data Analysis paradigm (Williams, 2021) advocates using multiple methods to address the same research question, which is rarely done in studies of advertising creative effects. In this paper, we apply the MDA paradigm to data from Hartnett, Kennedy, et al. (2016), which coded 158 creative variables for 312 television advertisements with commercially validated short-term sales effectiveness outcomes. We found that many models give higher classification accuracy than the ordinal regression model previously applied, some significantly higher. Importantly, by applying many alternative but equally plausible analytical methods, we can identify creative variables associated with commercial success and have evidence-based confidence that these creative variables are artefacts of the data, and not artefacts of any particular analytical method and its associated assumptions. The findings reveal several alternative creative variables that are consistently associated with sales success across methods, which relate to the timing aspects of visual branding.
Characteristics of Handgrip (Kumi-Kata) Profile of Georgian Elite Judo Athletes

The study investigated the characteristics of kumi-kata in elite judokas on kinematic and temporal parameters of different types of handgrip (HG). Methods: fourteen participated in this study male athletes (23.5±2.61 years; 1.81±0.37 0 m; 87.25±22.75 kg), members of the Georgian Judo team. To characterize the dominance and types of kumi-kata were analysed, and to characterize kinematic and temporal parameters and handgrip. Results: The values of 0.26±0.69s and 0.31±0.03s for reaction time were obtained, respectively, in the full grip and pinch grip; 19.62±18.83N/cm/s and 6.17±3.48N/cm/s for the rate of force development; 475,21 ± 101,322 and 494,65±112,73 and FDR 1,45 ± 0,824s for the time between the force onset to the TFP; and 41,27±4,54N/cm/s. There was no significantdifference variable, except for the dominance of kumi-kata (p<0.05) used in combat. Conclusion: The dominance kumi-kata is a technical option, as it does not depend on the kinetic-temporal parameters of handgrip.