Miracle-dz/UniFAR-FTUs huggingface dataset:
Real-World Immunogenicity and Reactogenicity of Two Doses of Pfizer-BioNTech COVID-19 Vaccination in Children Aged 5–11 Years

There are limited data concerning the immunogenicity and reactogenicity of COVID-19 vaccines in children. A total of 110 children, 5–11 years old were vaccinated with two doses (with a 3-week interval between doses) of the Pfizer-BioNTech COVID-19 vaccine and were followed for 21, 90, and 180 days after vaccination for immunogenicity, adverse events, and breakthrough infections. Ninety days after the first vaccine dose, the GeoMean (CI 95%) of IgG ascended to 1291.0 BAU (929.6–1790.2) for uninfected children and 1670.0 BAU (1131.0–2466.0) for Infected children. One hundred and eighty days after receiving the first dose of the vaccine, the titers decreased to 535.5 BAU (288.4–993.6) for the uninfected children, while only a small decline was detected among infected children—1479.0 (878.2–2490.0). The neutralizing antibodies titer almost did not change over time in the uninfected children, and even elevated for the infected children. Of the 110 vaccinated children, 75.5% were infected, with only mild COVID-19 infection symptoms. Child vaccination was found to be safe, with mild, mostly local, and of short duration, reported AEs. No serious adverse events (SAEs) were reported after vaccination. The durability of two doses of vaccine in children is longer, thus a booster may not be needed as early as in adults.
Strong Convergence of Pramarts in Banach Spaces

Let E be a Banach space and be an adapted sequence on the probability space We denote by T the set of all bounded stopping times with respect to . is called a pramart if converges to zero in probability, uniformly in τ ≧ σ. The notion of pramart was introduced in [6]. A good property is the optional sampling property (see Theorem 2.4 in [6]). Furthermore the class of pramarts intersects the class of amarts, and every amart is a pramart if and only if dim E < ∞ ([2], see also [4]). Pramarts behave indeed quite differently than amarts. Although the class of pramarts is large, they have good convergence properties as is seen in the next two results of Millet-Sucheston, [6], [7]. THEOREM 1.1. Let be a real-valued pramart of class (d), i.e.,
Coupling QCD-Scale Axionlike Particles to Gluons.

We present a novel data-driven method for determining the hadronic interaction strengths of axionlike particles (ALPs) with QCD-scale masses. Using our method, it is possible to calculate the hadronic production and decay rates of ALPs, along with many of the largest ALP decay rates to exclusive final states. To illustrate the impact on QCD-scale ALP phenomenology, we consider the scenario where the ALP-gluon coupling is dominant over the ALP coupling to photons, electroweak bosons, and all fermions for m_{π}≲m_{a}≲3 GeV. We emphasize, however, that our method can easily be generalized to any set of ALP couplings to standard model particles. Finally, using the approach developed here, we provide calculations for the branching fractions of η_{c}→VV decays; i.e., η_{c} decays into two vector mesons, which are consistent with the known experimental values.
Measuring the energy scale of inflation with large scale structures

The determination of the inflationary energy scale represents one of the first step towards the understanding of the early Universe physics. The (very mild) non-Gaussian signals that arise from any inflation model carry information about the energy scale of inflation and may leave an imprint in some cosmological observables, for instance on the clustering of high-redshift, rare and massive collapsed structures. In particular, the graviton exchange contribution due to interactions between scalar and tensor fluctuations leaves a specific signature in the four-point function of curvature perturbations, thus on clustering properties of collapsed structures. We compute the contribution of graviton exchange on two- and three-point function of halos, showing that at large scales k∼ 10−3 Mpc−1 its magnitude is comparable or larger to that of other primordial non-Gaussian signals discussed in the literature. This provides a potential route to probe the existence of tensor fluctuations which is alternative and highly complementary to B-mode polarisation measurements of the cosmic microwave background radiation.
Future Prospects for Ground-based Gravitational-wave Detectors: The Galactic Double Neutron Star Merger Rate Revisited

We present the Galactic merger rate for double neutron star (DNS) binaries using an observed sample of eight DNS systems merging within a Hubble time. This sample includes the recently discovered, highly relativistic DNS systems J1757−1854 and J1946+2052, and is approximately three times the sample size used in previous estimates of the Galactic merger rate by Kim et al. Using this sample, we calculate the vertical scale height for DNS systems in the Galaxy to be z0 = 0.4 ± 0.1 kpc. We calculate a Galactic DNS merger rate of Myr−1 at the 90% confidence level. The corresponding DNS merger detection rate for Advanced LIGO (Laser Interferometer Gravitational-wave Observatory) is , where Dr is the range distance. Using this merger detection rate and the predicted range distance of 120–170 Mpc for the third observing run of LIGO, we predict, accounting for 90% confidence intervals, that LIGO–Virgo will detect anywhere between zero and two DNS mergers. We explore the effects of the underlying pulsar population properties on the merger rate and compare our merger detection rate with those estimated using different formation and evolutionary scenario of DNS systems. As we demonstrate, reconciling the rates is sensitive to assumptions about the DNS population, including its radio pulsar luminosity function. Future constraints from further gravitational wave DNS detections and pulsar surveys anticipated in the near future should permit tighter constraints on these assumptions.
Effect of Vibration on Forced Convection Heat Transfer for SiO2–Water Nanofluids

In the process of heat transfer, the fluid type and external parameters have a significant impact on heat transfer performance. For this reason, the physical properties, pressure differences, and heat transfer rates of SiO2–water nanofluids have been experimentally investigated in a straight circular pipe. Experimental results revealed a great difference in physical properties between SiO2–water nanofluids and purified water. The friction factor of low-volume-concentration nanofluids was slightly increased for laminar flow and tended to be almost independent of the Reynolds number for turbulent flow. The heat transfer coefficient can be enhanced either by adding nanoparticles to purified water or by imposing a transverse vibration on the heat transfer surface. Using these two methods at the same time (compound heat transfer enhancement), heat transfer performance is much better than that with either method alone. The largest increase of about 182% was observed under conditions of compound heat transfer enhancement.
Molecular gas in radio galaxies in dense megaparsec-scale environments at z = 0.4–2.6

Context. Low luminosity radio galaxies (LLRGs) typically reside in dense megaparsec-scale environments and are often associated with brightest cluster galaxies (BCGs). They are an excellent tool to study the evolution of molecular gas reservoirs in giant ellipticals, even close to the active galactic nucleus. Aims. We investigate the role of dense megaparsec-scale environment in processing molecular gas in LLRGs in the cores of galaxy (proto-)clusters. To this aim we selected within the COSMOS and DES surveys a sample of five LLRGs at z = 0.4−2.6 that show evidence of ongoing star formation on the basis of their far-infrared (FIR) emission. Methods. We assembled and modeled the FIR-to-UV spectral energy distributions (SEDs) of the five radio sources to characterize their host galaxies in terms of stellar mass and star formation rate. We observed the LLRGs with the IRAM-30 m telescope to search for CO emission. We then searched for dense megaparsec-scale overdensities associated with the LLRGs using photometric redshifts of galaxies and the Poisson Probability Method, which we have upgraded using an approach based on the wavelet-transform (wPPM), to ultimately characterize the overdensity in the projected space and estimate the radio galaxy miscentering. Color-color and color-magnitude plots were then derived for the fiducial cluster members, selected using photometric redshifts. Results. Our IRAM-30 m observations yielded upper limits to the CO emission of the LLRGs, at z = 0.39, 0.61, 0.91, 0.97, and 2.6. For the most distant radio source, COSMOS-FRI 70 at z = 2.6, a hint of CO(7→6) emission is found at 2. 2σ. The upper limits found for the molecular gas content M(H2)/M⋆ < 0.11, 0.09, 1.8, 1.5, and 0.29, respectively, and depletion time τdep ≲ (0.2−7) Gyr of the five LLRGs are overall consistent with the corresponding values of main sequence field galaxies. Our SED modeling implies large stellar-mass estimates in the range log(M⋆/M⊙) = 10.9−11.5, typical for giant ellipticals. Both our wPPM analysis and the cross-matching of the LLRGs with existing cluster/group catalogs suggest that the megaparsec-scale overdensities around our LLRGs are rich (≲1014 M⊙) groups and show a complex morphology. The color-color and color-magnitude plots suggest that the LLRGs are consistent with being star forming and on the high-luminosity tail of the red sequence. The present study thus increases the still limited statistics of distant cluster core galaxies with CO observations. Conclusions. The radio galaxies of this work are excellent targets for ALMA as well as next-generation telescopes such as the James Webb Space Telescope.
Comparing the properties of GMCs in M33 from simulations and observations

We compare the properties of clouds in simulated M33 galaxies to those observed in the real M33. We apply a friends of friends algorithm and CPROPS to identify clouds, as well as a pixel by pixel analysis. We obtain very good agreement between the number of clouds, and maximum mass of clouds. Both are lower than occurs for a Milky Way-type galaxy and thus are a function of the surface density, size and galactic potential of M33. We reproduce the observed dependence of molecular cloud properties on radius in the simulations, and find this is due to the variation in gas surface density with radius. The cloud spectra also show good agreement between the simulations and observations, but the exact slope and shape of the spectra depends on the algorithm used to find clouds, and the range of cloud masses included when fitting the slope. Properties such as cloud angular momentum, velocity dispersions and virial relation are also in good agreement between the simulations and observations, but do not necessarily distinguish between simulations of M33 and other galaxy simulations. Our results are not strongly dependent on the level of feedback used here (10 and 20%) although they suggest that 15% feedback efficiency may be optimal. Overall our results suggest that the molecular cloud properties are primarily dependent on the gas and mass surface density, and less dependent on the localised physics such as the details of stellar feedback, or the numerical code used.
Occurrence and Distribution of Tomato Brown Rugose Fruit Virus Infecting Tomato Crop in Saudi Arabia

During the growing season of 2021–2022, a total of 145 symptomatic tomato leaf and fruit samples were collected from different locations in Riyadh Region, Saudi Arabia, showing a moderate-to-severe mosaic with dark green wrinkling, blistering, narrowing, and deformation with necrosis spot on tomato leaves, while irregular brown necrotic lesions, deformation, and yellowing spots rendering the fruits non-marketable were observed on tomato fruits. These samples were tested serologically against important tomato viruses using enzyme-linked immunosorbent assay (ELISA), and the obtained results showed that 52.4% of symptomatic tomato samples were found positive for Tomato brown rugose fruit virus (ToBRFV), wherein 12 out of 76 samples were singly infected; however, 64 out of 145 had mixed infection. A sample with a single infection of ToBRFV was used for mechanical inoculation into a range of different host plants; symptoms were observed weekly, and the presence of the ToBRFV was confirmed by ELISA and reverse transcription–polymerase chain reaction (RT-PCR). A total RNA was extracted from selected ELISA-positive samples, and RT-PCR was carried out using specific primers F-3666 and R-4718, which amplified a fragment of 1052 bp. RT-PCR products were sequenced in both directions, and partial genome nucleotide sequences were submitted to GenBank under the following accession numbers: MZ130501, MZ130502, and MZ130503. BLAST analysis of Saudi isolates of ToBRFV showed that the sequence shared nucleotide identities (99–99.5%) among them and 99–100% identity with ToBRFV isolates in different countries. A ToBRFV isolate (MZ130503) was selected for mechanical inoculation and to evaluate symptom severity responses of 13 commonly grown tomato cultivars in Saudi Arabia. All of the tomato cultivars showed a wide range of symptoms. The disease severity index of the tested cultivars ranged between 52% and 96%. The importance ToBRFV disease severity and its expanding host range due to its resistance breaking ability was discussed.
Temperature Incubation Influences Gonadal Gene Expression during Leopard Gecko Development

Simple Summary Environmental sex determination is a modality of sex determination related to external factors and that has implicated determinants such as climatic conditions, which act on the embryo after fertilization and deposition of the egg. For reptiles, the temperature is the main element for sex determination; this factor affects laid eggs in different ways. Details remain to be elucidated concerning the temporal gene expression and the functions of their protein products. Therefore, the aim of the present work was to determine the genetic determinants differentially represented during the embryonic development of a model species already known in temperature-dependent sex determination, the leopard gecko Eublepharis macularius. Following this investigation, new data were acquired on genes expressed in the sexual differentiation of E. macularius. In addition, new genes potentially involved in the mechanisms of tissue and metabolic sexual differentiation of the embryo of this species have been identified. This study could bring new useful information in order to correctly interpret the regulatory pathway underlying the determination of sex in vertebrates. Abstract During development, sexual differentiation results in physiological, anatomical and metabolic differences that implicate not only the gonads but also other body structures. Sex in Leopard geckos is determined by egg incubation temperature. Based on the premise that the developmental decision of gender does not depend on a single gene, we performed an analysis on E. macularius to gain insights into the genes that may be involved in gonads’ sexual differentiation during the thermosensitive period. All the genes were identified as differentially expressed at stage 30 during the labile phase of sex differentiation. In this way, the expression of genes known to be involved in gonadal sexual differentiation, such as WNT4, SOX9, DMRT1, Erα, Erβ, GnRH, P450 aromatase, PRL and PRL-R, was investigated. Other genes putatively involved in sex differentiation were sought by differential display. Our findings indicate that embryo exposure to a sex-determining temperature induces differential expression of several genes that are involved not only in gonadal differentiation, but also in several biological pathways (ALDOC, FREM1, BBIP1, CA5A, NADH5, L1 non-LTR retrotransposons, PKM). Our data perfectly fit within the new studies conducted in developmental biology, which indicate that in the developing embryo, in addition to gonadal differentiation, sex-specific tissue and metabolic polarization take place in all organisms.
Identification of Species-Specific MicroRNAs Provides Insights into Dynamic Evolution of MicroRNAs in Plants

MicroRNAs (miRNAs) are an important class of regulatory small RNAs that program gene expression, mainly at the post-transcriptional level. Although sporadic examples of species-specific miRNAs (termed SS-miRNAs) have been reported, a genome-scale study across a variety of distant species has not been assessed. Here, by comprehensively analyzing miRNAs in 81 plant species phylogenetically ranging from chlorophytes to angiosperms, we identified 8048 species-specific miRNAs from 5499 families, representing over 61.2% of the miRNA families in the examined species. An analysis of the conservation from different taxonomic levels supported the high turnover rate of SS-miRNAs, even over short evolutionary distances. A comparison of the intrinsic features between SS-miRNAs and NSS-miRNAs (non-species-specific miRNAs) indicated that the AU content of mature miRNAs was the most striking difference. Our data further illustrated a significant bias of the genomic coordinates towards SS-miRNAs lying close to or within genes. By analyzing the 125,267 putative target genes for the 7966 miRNAs, we found the preferentially regulated functions of SS-miRNAs related to diverse metabolic processes. Collectively, these findings underscore the dynamic evolution of miRNAs in the species-specific lineages.
The Valorization Potential of Tannery Wool Waste in the Textile Industry

ABSTRACT According to environmental issues and guidelines, increasing efforts are being focused on reducing the harmful impact of textile wastes either by lowering the use of chemicals or by recycling wastes into new products to give them a new life cycle. In this paper, we investigate the physical and chemical properties of wool wastes coming from tanning industry, where the process of pulling the wool from the hide is based on chemical processes. These so-called “’Pulled wool’” properties are compared to virgin raw wool obtained from the same pelt, to evaluate the degradation of the fiber induced by the chemicals. SEM observations indicate that the pulled wool fiber surface appeared rougher, and the scales appeared to have been affected. Based on the X-ray diffraction, the crystallinity of the pulled fibers appeared to have been slightly reduced. Attenuated ATR-FTIR analyses indicated some changes in chemical composition. HPLC tests showed an apparent increase in the amount of cystic acids indicating damage of some macromolecular chains crosslinking. Thus, some properties appeared significantly affected during the chemical unhairing process. Based on these characteristics of pulled wool, potential applications to valorize it could be suggested, as we show that it remains suitable for conventional textile processes. GRAPHICAL ABSTRACT
The Use of Communicative Language Teaching (CLT) Method in Improving Students’ English Vocabulary

This study aims to determine whether the CLT method improves students' English vocabulary mastery before and after learning using the CLT method. This is a quantitative study with a pre-experimental design. In this research design, the researcher only uses one class as an experimental class which was given treatment in the form of vocabulary learning using the CLT method. However, before the treatment was given, students would be given a test in the form of a pre-test and post-test that aimed to see the effect of the CLT method in improving students' vocabulary skills. The data from the test was collected and then the data was analyzed through descriptive statistics. The population used was all students of SMP Negeri 50 Halmahera Selatan and all were selected as samples in this study. The instrument used to collect quantitative data in this study was a vocabulary test. This test is in the form of multiple choice consisting of 30 question items. Tests distributed before and after the treatment were given as pre-test and post-test. In addition to comparing the significance value (Sig.) with a probability of 0.05, the authors also compared the t-count value with the t-table to test the hypothesis that had been made previously. The t count based on the result of paired sample test is 38,076 and the t table based on the value of df (34) is 2,042. This shows that the value of t arithmetic (37.769) > t table (2.042) it can be concluded that H0 is rejected and Ha is accepted. In other words, there is an average difference between the learning outcomes of the pre-test and post-test, which means the CLT method improves the students’ English vocabulary at SMP Negeri 50 Halmahera Selatan.
Ethnobotanical study of wild medicinal plants in Serbajadi protected forest of East Aceh District, Indonesia

Abstract. Navia ZI, Adnan, Harmawan T, Suwardi AB. 2022. Ethnobotanical study of wild medicinal plants in Serbajadi protected forest of East Aceh District, Indonesia. Biodiversitas 23: 4959-4970. The Serbajadi protected forest of East Aceh District has high biodiversity including medicinal plants which have been utilized by the community as traditional medicine. However, their knowledge of ethnobotanical uses of medicinal plants is threatened due to the lack of written records and the rapid socio-cultural changes as a consequence of economic development. Therefore, this study aims to study wild medicinal plants and traditional knowledge in the Serbajadi protected forest, East Aceh District, Indonesia. This study used a combination of data collection methods, namely field surveys, plant collections, and community interviews. The snowball sampling technique was used to select 320 interviewees. The results showed that local people use 88 different wild medicinal plant species from 78 genera and 46 families to treat 32 different diseases. The most common ailments to cure are fever, cough, and diarrhea. Ageratum conyzoides is the most known medicinal plant species with a relative frequency citation index of 0.97, while Acorus calamus is the most commonly used medicinal plant in the local community with a use value index of 0.99. Furthermore, locals identified leaves (75%) as the most commonly used plant part and decoction (55%) as the most common method of administering traditional medicine. The elders know more about medicinal plants than the younger generation, indicating that traditional knowledge is eroding as generations pass. In order to ensure the sustainability of medicinal plants and the preservation of traditional knowledge in the future, the initiative to preserve medicinal plants must be increased, particularly among the younger generation.
Negative electronic compressibility and nanoscale inhomogeneity in ionic-liquid gated two-dimensional superconductors

Recent progress in the fabrication of 2D highly ordered thin films and in tuning their electron density both by chemical doping or ionic gating has opened a new field with a wealth of interesting physical effects [1] ranging from unconventional superconductivity, sizable spin-orbit coupling, competition with charge-density waves (CDWs), and so on. Despite their high electron mobility and nearly perfect crystalline structure, we find that transport properties can be interpreted in terms of an inhomogeneous system, where superconducting (SC) `puddles' are embedded in a normal metal matrix. In particular, by fitting the resistance curves of several systems like TiSe_2, MoS_2, and ZrNCl, we show that these systems are electronically inhomogeneous. This finding, not only is relevant per se, but naturally raises the crucial question of the general mechanism(s) leading to electronic inhomogeneity. We propose a mechanism based on the interplay between electrons and the charges of the gating ionic liquid.