Miracle-dz/UniFAR-FTUs huggingface dataset:
Extra-Acceleration at Large Scale due to Merging at Small Scales

Mehrdad Khanpour, ∗ Ebrahim Yusofi, 3, † and Bahman Khanpour ‡ Department of Chemistry, Faculty of Basic Sciences, Ayatollah Amoli Branch, Islamic Azad University, Amol, Iran Department of Physics, Faculty of Basic Sciences, Ayatollah Amoli Branch, Islamic Azad University, Amol, Iran School of Astronomy, Institute for Research in Fundamental Sciences(IPM), P. O. Box 19395-5531,Tehran, Iran Department of Physics, Faculty of Basic Sciences, University of Mazandaran, P. O. Box 47416-95447, Babolsar, Iran (Dated: May 22, 2018)
Innovative therapeutic approach to chemical burns produced by vesicants; an experimental study

Vesicants are compounds that cause severe toxic effects on various tissues. Such chemical action causes tissue necrosis, with clinical expression of skin lesions with a burning character and characteristic blisters. Clinical toxic effects of cutaneous vesicles are correlated with the absorbed dose and exposure time. The goals of the study are to evaluate in vitro the skin toxicity produced by the vesicant chemical compound 2-chloroethyl-ethyl sulfide (CEES), to develop a complex antidote formula
The Impact of Depression on the Functional Outcome of the Elderly Stroke Victim from a Gender Perspective: A Systematic Review

(1) Background: The aim of this systematic review focused on analyzing the impact of depression on the functional outcome of the elderly stroke victim and how this disorder affects both the female and the male population. (2) Methods: We conducted a systematic review using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The review was registered in PROSPERO (ID 346284). The systematic search for clinical trials was performed in the databases Pubmed, Otseeker, Scopus, Web of Science, Psycinfo, Medline Complete, ScienceDirect, SciELO, and Dialnet. Articles were selected according to the inclusion and exclusion criteria, including those dealing with post-stroke depression in adults whose psychological status had changed. Studies that only assessed the psychological state of caregivers were excluded. (3) Results: In total, 609 articles were identified, of which 11 randomized controlled trials were finally included in the review. The results indicate that post-stroke depression influences the recovery of functionality and quality of life. In addition, the need to detect the mood of the adult population after the stroke and to provide individualized treatment according to the characteristics of the person is highlighted. (4) Conclusions: This systematic review shows how early detection of post-stroke depressive symptoms can improve the degree of disability and quality of life of the person, especially in women.
Coordinating the Deployment of Bioenergy with Carbon Capture and Storage

Bioenergy with Carbon Capture and Storage (BECCS) is a negative emissions technology that allows the removal of CO2 from the atmosphere while producing energy or goods. This technology has been increasingly pictured as key to reaching the Paris Agreement targets. But with only a few demonstration projects currently in operation, its deployment is far from projected. The large-scale deployment of BECCS is hindered by economic, social, and environmental barriers that have been subject to an increasing number of studies. As most research on BECCS tends to adopt a central planning perspective, the barriers related to strategic interactions and coordination issues within the BECCS value chain are often overlooked. Based on a systematic literature review, we identify coordination-related challenges for BECCS deployment. We describe three challenges to BECCS deployment that should be further examined through the lens of coordination: (i) trading biomass and ensuring its sustainability; (ii) reducing costs through synergies with other industries and shared CO2 infrastructures; and (iii) coordinating policies internationally to provide revenues for BECCS.
TRPV3 inhibits colorectal cancer cell proliferation and migration by regulating the MAPK signaling pathway

Background The aim of this study was to investigate the inhibiting effect of transient receptor potential vanilloid 3 (TRPV3) on the proliferation and migration of colorectal cancer (CRC) cells and to explore the underlying mechanism. Methods A microarray dataset from the publicly available Gene Expression Omnibus (GEO) database was used to investigate the prognostic value of TRPV3 in CRC. In addition, 100 CRC tissue samples were collected at our center to further validate its prognostic value at the protein level. Cell proliferation ability was detected by Cell Counting Kit-8 (CCK-8) assay, and cell migration ability was detected by transwell assay. Gene set variation analysis (GSVA) was performed to identify the potential pathways regulated by TRPV3. Results Based on the largest microarray dataset (GSE39582), low expression of TRPV3 was found to be significantly associated with poor prognosis in CRC patients, and this result was successfully validated at our cancer center. Functional experiments showed that knockdown of TRPV3 enhanced cell proliferation and migration, while enforced TRPV3 expression exhibited the opposite effect. GSEA based on public microarray data revealed that the mitogen-activated protein kinase (MAPK) signaling pathway was notably activated in patients with low expression of TRPV3. Further experiments in vivo confirmed that TRPV3 silencing promoted cell proliferation and migration by activating the MAPK signaling pathway. Conclusions Low expression of TRPV3, which stimulates cell proliferation and migration by provoking the MAPK signaling pathway, indicated poor prognosis in CRC patients.
Insulin-like Growth Factor-2 (IGF-2) in Fibrosis

The insulin family consists of insulin, insulin-like growth factor 1 (IGF-1), insulin-like growth factor 2 (IGF-2), their receptors (IR, IGF-1R and IGF-2R), and their binding proteins. All three ligands are involved in cell proliferation, apoptosis, protein synthesis and metabolism due to their homologous sequences and structural similarities. Insulin-like growth factor 2, a member of the insulin family, plays an important role in embryonic development, metabolic disorders, and tumorigenesis by combining with three receptors with different degrees of affinity. The main pathological feature of various fibrotic diseases is the excessive deposition of extracellular matrix (ECM) after tissue and organ damage, which eventually results in organic dysfunction because scar formation replaces tissue parenchyma. As a mitogenic factor, IGF-2 is overexpressed in many fibrotic diseases. It can promote the proliferation of fibroblasts significantly, as well as the production of ECM in a time- and dose-dependent manner. This review aims to describe the expression changes and fibrosis-promoting effects of IGF-2 in the skin, oral cavity, heart, lung, liver, and kidney fibrotic tissues.
The Book of Involutions

This monograph yields a comprehensive exposition of the theory of central simple algebras with involution, in relation with linear algebraic groups. It aims to provide the algebra-theoretic foundations for much of the recent work on linear algebraic groups over arbitrary fields. Involutions are viewed as twisted forms of similarity classes of hermitian or bilinear forms, leading to new developments on the model of the algebraic theory of quadratic forms. Besides classical groups, phenomena related to triality are also discussed, as well as groups of type F_4 or G_2 arising from exceptional Jordan or composition algebras. Several results and notions appear here for the first time, notably the discriminant algebra of an algebra with unitary involution and the algebra-theoretic counterpart to linear groups of type D_4. For research mathematicians and graduate students working in central simple algebras, algebraic groups, nonabelian Galois cohomology or Jordan algebras.
The Antimicrobial Peptide AMP-17 Derived from Musca domestica Inhibits Biofilm Formation and Eradicates Mature Biofilm in Candida albicans

The biofilm formation of C. albicans represents a major virulence factor during candidiasis. Biofilm-mediated drug resistance has necessitated the search for a new antifungal treatment strategy. In our previous study, a novel antimicrobial peptide named AMP-17 derived from Musca domestica was confirmed to have significant antifungal activity and suppress hyphal growth greatly in C. albicans. In the current work, we aimed to investigate the antibiofilm property of AMP-17 in C. albicans and explore the underlying mechanism. An antifungal susceptibility assay showed that AMP-17 exerted a strong inhibitory efficacy on both biofilm formation and preformed biofilms in C. albicans. Furthermore, AMP-17 was found to block the yeast-to-hypha transition and inhibit the adhesion of biofilm cells with a reduction in cellular surface hydrophobicity. A morphological analysis revealed that AMP-17 indeed suppressed typical biofilm formation and damaged the structures of the preformed biofilm. The RNA-seq showed that the MAPK pathway, biosynthesis of antibiotics, and essential components of the cell were mainly enriched in the biofilm-forming stage, while the citrate cycle (TCA cycle), phenylamine metabolism, and propanoate metabolism were enriched after the biofilm matured. Moreover, the co-expressed DEGs in the two pairwise comparisons highlighted the terms of transmembrane transporter activity, regulation of filamentation, and biofilm formation as important roles in the antibiofilm effect of AMP-17. Additionally, qRT-PCR confirmed that the level of the genes involved in cell adhesion, filamentous growth, MAPK, biofilm matrix, and cell dispersal was correspondingly altered after AMP-17 treatment. Overall, our findings reveal the underlying antibiofilm mechanisms of AMPs in C. albicans, providing an interesting perspective for the development of effective antifungal agents with antibiofilm efficacy in Candida spp.
Model selection based on the angular-diameter distance to the compact structure in radio quasars

Of all the distance and temporal measures in cosmology, the angular-diameter distance, dA(z), uniquely reaches a maximum value at some finite redshift and then decreases to zero towards the Big Bang. This effect has been difficult to observe due to a lack of reliable, standard rulers, though refinements to the identification of the compact structure in radio quasars may have overcome this deficiency. In this letter, we assemble a catalog of 140 such sources with for model selection and the measurement of . In flat ΛCDM, we find that , fully consistent with the Planck optimized value, with . Both of these values are associated with a dA(z) indistinguishable from that predicted by the zero active mass condition, , in terms of the total pressure p and total energy density ρ of the cosmic fluid. An expansion driven by this constraint, known as the universe, has , which differs from the ΛCDM optimized value by less than . Indeed, the Bayes Information Criterion favours over flat ΛCDM with a likelihood of vs. , suggesting that the optimized parameters in Planck ΛCDM mimic the constraint .
On the Logic of Theory Change: Incision Functions from Selection Functions

This work present an connection between partial meet contractions (AGM: Alchourron, Gardenfors and Makinson) and kernel contractions (Hansson). We present a way to define incision functions (used in kernel contractions) from selection functions (used in partial meet contractions). We present some properties of both kinds of functions and their relations.
Classifying AGN by X-ray hardness variability

The physics behind the dramatic and unpredictable X-ray variability of Active Galactic Nuclei (AGN) has eluded astronomers since it was discovered. We present an analysis of Swift XRT observations of 44 AGN with at least 20 Swift observations. We define HR-slope as the change of Hardness Ratio (HR) with luminosity ($L$). This slope is measured for all objects in order to: 1. Classify different AGN according to their HR-HR-slope relation and 2. compare HR-$L/L_\mathrm{Edd}$ trends with those observed in X-ray binaries for the 27 AGN with well measured black hole masses. We compare results using a count-based HR definition and an energy-based HR definition. We observe a clear dichotomy between Seyferts and radio loud galaxies when considering count-based HR, which disappears when considering energy based HR. This, along with the fact no correlation is observed between HR parameters and radio loudness, implies radio loud and radio quiet AGN should not be discriminated by their HR behavior. We provide schematic physical models to explain the observed transition between energy defined HR states. We find Seyferts populate the high, hard, phase of the HR-$L/L_\mathrm{Edd}$ diagram as well as do three radio loud objects. Two LINERs populate the low, soft, phase part of this diagram. Finally, radio loud objects are concentrated around small positive HR-slopes, while Seyferts track the HR phase diagram which may provide clues to the geometry of the corona.
The Analysis Of The Effect Of Firm Characteristics On The Completeness Of Public Company’s Voluntary Disclosure

The purpose of this study is to analyze the influence of firm characteristics and voluntary disclosure levels in the annual reports of listed companies in Indonesia Stock Exchange. The degree of voluntary disclosure is calculated by an index which is based on background information, non-financial statistic, projected information, and management discussion and analysis. This study using 434 companies in 2021 as a sample and applies the multiple regression analysis. The finding of this study shows that firm characteristics; profitability, firm size, liquidity and industry type have significant relationship with voluntary disclosure, while leverage, age and ownership have no significant with voluntary disclosure. This study can be very helpful for the shareholders, creditors and financial management in making decision about giving voluntary disclosure in annual reports as it provides adequate information for decision making. Key Words: Voluntary disclosure, Firm characteristic, Annual report
Estimation of Complex Generalized Linear Mixed Models for Measurement and Growth

Maximum likelihood (ML) estimation of generalized linear mixed models (GLMMs) is technically challenging because of the intractable likelihoods that involve high dimensional integrations over random effects. The problem is magnified when the random effects have a crossed design and thus the data cannot be reduced to small independent clusters. A variety of methods have been developed for approximating the intractable likelihood functions, but there seems no method yet that is both computationally efficient and accurate in a wide range of situations. In this dissertation, I consider new estimation methods and applications of complex GLMMs for measurement and growth. The dissertation consists of three papers,1) Variational maximization-maximization (MM) algorithm,2) Monte Carlo local likelihood (MCLL) estimation,and 3) Autoregressive item response theory (IRT) growth model for longitudinal item analysis.In the first and second papers, I develop two ML methods for estimating GLMMs with crossed random effects. The variational MM algorithm is a modified expectation-maximization (EM) algorithm where a variational density is introduced in the expectation (E) step to approximate the true posterior density of the random effects given the data. The E-step is replaced by another maximization step that minimizes the Kullback-Leibler (KL) divergence between the posterior and the variational density, or equivalently, maximizes the lower bound of the log-likelihood with respect to the variational distribution. The MCLL algorithm uses the posterior samples of model parameters obtained from Markov chain Monte Carlo (MCMC) for likelihood inference. The posterior density is estimated by local likelihood density estimation and the likelihood function is approximated up to a constant by the local likelihood density estimate of the posterior divided by the prior. The performance of these new algorithms is evaluated using simulation and empirical studies and compared with other ML and Bayesian estimators. In the third paper, a new autoregressive IRT growth model is proposed to take into account serial correlations among responses to the same items over time. The consequences of ignoring serial dependence and the initial conditions problem are investigated using simulations. The new model is applied to longitudinal data of Korean students' self-esteem.
Kinematic modeling of a double octahedral Variable Geometry Truss (VGT) as an extensible gimbal

This paper presents the complete forward and inverse kinematics solutions for control of the three degree-of-freedom (DOF) double octahedral variable geometry truss (VGT) module as an extensible gimbal. A VGT is a truss structure partially comprised of linearly actuated members. A VGT can be used as joints in a large, lightweight, high load-bearing manipulator for earth- and space-based remote operations, plus industrial applications. The results have been used to control the NASA VGT hardware as an extensible gimbal, demonstrating the capability of this device to be a joint in a VGT-based manipulator. This work is an integral part of a VGT-based manipulator design, simulation, and control tool.
Study on Single Event Upsets in a 28 nm Technology Static Random Access Memory Device Based on Micro-Beam Irradiation

As an important spaceborne electronic device, the static random access memory (SRAM) device is inevitably affected by the radiation of high-energy particles in space during its space mission. To reveal the single event effect (SEE) mechanism of 28 nm technology SRAM caused by high-energy particles, the sensitive area positioning of single event upsets (SEUs) and the distribution characteristics of multi-cell upsets (MCUs) were studied based on the pinhole heavy ion micro-beam facility. The results show that the actual range of SEUs caused by micro-beam irradiation is 4.8 μm × 7.8 μm. By moving the device platform in small steps (1 μm each step), a one-dimensional positioning method for locating the sensitive area of SEUs was established, which can reduce the dependence of localization accuracy on beam spot size, and the positioning accuracy can be improved to 1 μm. The MCU test indicates that the upset pattern is closely related to the spacing of sensitive areas within adjacent SRAM cells, and the probability of MCUs is reduced by well contacts and bit interleaving.
The Effect of an Extract and Fractions of Date Pits on Some Plasma Constituents, Reproductive Hormones, and Testicular Histology in Male Mice

Pits of dates (Phoenix dactylifera L.) have numerous nutritional benefits that could have wide-ranging applications. This study aimed to examine the effects of administering three extracts from powdered date pits on some basic physiological parameters, plasma constituents, reproductive hormones, and testicular histology in CD1 male mice. Three groups received doses of 100 mg/kg/day of lyophilized extract, a nonpolar fraction, and a polar fraction of date pits by oral gavage for 28 consecutive days. For the control, one group was administered a 1 mL/kg concentration of distilled water. The three different extracts significantly increased the plasma testosterone level but showed no significant effect on estradiol or luteinizing hormone levels, except for estradiol reduction in the polar extract group. The measured physiological or biochemical parameters or testicular histology also demonstrated no significant differences between the control mice and those mice treated with the three extracts, except for reductions in plasma urea in all extracts and in total protein in the nonpolar extract. Therefore, date pit extracts may potentially be used as a safe and effective dietary supplement. However, further investigation is needed.
Cosmic ray proton spectrum determined with the imaging atmospheric Cherenkov technique

The HEGRA system of 4 imaging atmospheric Cherenkov telescopes ~IACTs! has been used to determine the flux and the spectrum of cosmic ray protons over a limited energy range around 1.5 TeV. Although the IACT system is designed for the detection of g-rays with energies above 500 GeV, it has also a large detection area of . 10 6 m 2 33 msr for primary protons of energies above 1 TeV and the capability to reconstruct the primary proton energy with a reasonable accuracy DE/E of 50% near this threshold. Furthermore, the principle of stereoscopic detection of air showers permits the effective suppression of air showers induced by heavier primaries already on the trigger level, and in addition on the software level by analysis of the stereoscopic images. The combination of both capabilities permits a determination of the proton spectrum almost independently of the cosmic ray chemical composition. The accuracy of our estimate of the spectral index at 1.5 TeV is limited by systematic uncertainties and is comparable to the accuracy achieved with recent balloon and space borne experiments. In this paper we describe in detail the analysis tools, namely the detailed Monte Carlo simulation, the analysis procedure and the results. We determine the local ~i.e., in the range of 1.5‐3 TeV! differential spectral index to be g p52.7260. 02stat60.15syst and obtain an integral flux above 1.5 TeV of F (.1.5 TeV)53.160. 6 stat61.2syst310 22 /s sr m 2 . @S0556-2821~99! 04107-7#
In vivo anti-inflammatory activities of Plantago major extract and fractions and analysis of their phytochemical components using a high-resolution mass spectrometry

Background and purpose: Plantago major has been applied as a herbal remedy for centuries. However, studies on anti-inflammatory activities and their chemical ingredients are limited. The objective of this study was to investigate the anti-inflammatory properties of P. major in three animal models and its phytochemical contents. Experimental approach: Dichloromethane extract (DCM) of P. major was fractionated with n-hexane to yield the soluble (SHF) and insoluble (IHF) fractions. The anti-inflammatory activities of DCM, SHF, and IHF were evaluated using rat’s paw edema induced by carrageenan, thioglycolate-induced leukocyte emigration in the mice, and rheumatoid arthritis (RA) induced by complete Freund’s adjuvants in rats. The chemical constituents were analyzed using a high-resolution mass spectrometer (HRMS). Findings / Results: The DCM, SHF, and IHF inhibited paw edema in the rats and reduced the leukocyte migration in the mice. At dose 560 mg/kg, the percentage of inhibitory was 47.33%, 55.51%, and 46.61% for the DCM, IHF, and SHF, respectively. In the RA animal model, IHF at 280 and 560 mg/kg reduced osteoclast formation and COX-2 expression compared to diclofenac. Some compounds namely oleic acid, linoleic acid, palmitic acid, and oleamide identified in the DCM, IHF, and SHF may be responsible for these activities. Conclusion and implications: This study showed that P. major has several in-vivo anti-inflammatory activities.