Miracle-dz/UniFAR-FTUs huggingface dataset:
Isolated neurological presentations of mevalonate kinase deficiency

Mevalonate kinase (MK) deficiency is a rare autosomal recessive metabolic disorder caused by pathogenic variants in the MVK gene with a broad phenotypic spectrum including autoinflammation, developmental delay and ataxia. Typically, neurological symptoms are considered to be part of the severe end of the phenotypical spectrum and are reported to be in addition to the autoinflammatory symptoms. Here, we describe a patient with MK deficiency with severe neurological symptoms but without autoinflammation and we found several similar patients in the literature. Possibly, the non‐inflammatory phenotype is related to a specific genotype: the MVK p.(His20Pro)/p.(Ala334Thr) variant. There is probably an underdetection of the neurological MK deficient phenotype without inflammatory symptoms as clinicians may not test for MK deficiency when patients present with only neurological symptoms. In conclusion, although rare, neurological symptoms without hyperinflammation might be more common than expected in MK deficiency. It seems relevant to consider MK deficiency in patients with psychomotor delay and ataxia, even if there are no inflammatory symptoms.
Genetic variability and phylogenetic relationships of Begonia multangula based on atpB-rbcL non-coding spacer of cpDNA sequences

Abstract. Warseno T, Efendi M, Chasani AR, Daryono BS. 2022. Genetic variability and phylogenetic relationships of Begonia multangula based on atpB-rbcL non-coding spacer of cpDNA sequences. Biodiversitas 23: 5491-5501. Begonia (Begoniaceae) belongs to Section Platycentrum-Sphenanthera Group which has a wide distribution from Sumatra to the Lesser Sunda Islands and Sulawesi. Information on B. multangula genetic variability and intraspecies relationships based on molecular characters is critical for developing appropriate strategies in conservation biology, breeding activities, and many other applied fields. The genetic variability and interspecific relationships of B. multangula in Indonesia were investigated using sequence data from the atpB-rbcL intergenic spacer (IGS) cpDNA regions. The atpB-rbcL IGS fragment was amplified using atpB-1 as the forward primer and rbcL-1 as the reversed primer. Genetic variations were found in the length of the sequence and nucleotide divergences in the atpB-rbcL IGS region. The genetic distance between 822 fixed sites ranged from 0 to 0.61%. Eighteen of the 822 sites (99.27%) analyzed were invariable, six sites (0,73%) were variable consisting of 4 singleton variable sites and two parsimony informative sites, and twelve sites were gaps. The phylogenetic relationships generated by B. multangula based on the atpB-rbcL IGS sequence analysis indicated the genetic variation and divided it into two clades. However, the clustering pattern of B. multangula specimens resulting from molecular analysis based on atpB-rbcL IGS sequences did not show the geographic clustering grouping pattern.
Free Neutron Ejection from Shock Breakout in Binary Neutron Star Mergers

Merging neutron stars generate shock waves that disintegrate heavy nuclei into nucleons, especially in the outer envelope. It is expected that some of these neutrons, having avoided capturing positrons, remain as free neutrons even after the disappearance of electron–positron pairs. To investigate how many free neutrons can be ejected from merging neutron stars, we performed special-relativistic Lagrangian hydrodynamics computations with simplified models of this phenomenon in which a spherically symmetric shock wave propagates in the hydrostatic envelope and emerges from the surface. We systematically study a wide parameter space of the size of the merging neutron stars and the energy involved in the shock waves. As a result, it is found that the mass of remaining free neutrons is 10−7 to 10−6 M⊙, which is smaller than the previously expected mass by more than two orders of magnitude. There is a preferred energy of the order of 1048 erg that yields the maximum amount of free neutrons for large sizes of the envelope. We briefly discuss the emission from the free neutron layer and estimate the luminosity in the optical band to be about 7 × 1041 erg s ∼30 minutes after the merger.
Determining the Evolutionary Stage of the δ Scuti Star HIP 80088 with Asteroseismology

We have computed a grid of theoretical models to fit the 12 oscillation modes of HIP 80088 observed by K2. HIP 80088 is determined to be a pre-main-sequence star, in which the CN cycle has not arrived at the equilibrium state. Mass fractions of C12 and N14 in metal composition are and , respectively, indicating that 28% of C12 have turned into N14. Meanwhile, our fitting results show that physical parameters of HIP 80088 converge to a small range: M = 1.68–1.78 M⊙, Z = 0.015–0.018, km s−1, log g = 4.114–4.125, R = 1.882–1.914 R⊙, τ0 = 7636–7723 s, and age = 9.03–10.21 Myr. Based on our model fittings, f3 is suggested to be one radial mode, f2, f4, f8, and f11 to be four ℓ = 1 modes, and f1, f5, f6, f7, f9, f10, and f12 to be seven ℓ = 2 modes. In particular, we find that (f2, f4, f8) form one complete triplet with the averaged frequency spacing of 16.045 μHz, and (f5, f7, f9, f10) form four components of one quintuplet with the averaged frequency spacing of 13.388 μHz. The two averaged frequency spacings are not equal. Based on the best-fitting model, those ℓ = 2 modes of HIP 80088 are found to be mixed modes, which are p-dominated modes with pronounced g-mode features, while oscillation modes with ℓ = 1 are p modes.
ON THE POLARIZATION ANGLE OF SKYLIGHT REFLECTED BY NATURAL SURFACES: PROPERTIES AND APPLICATION FOR REMOTE SENSING OF PLANETARY ATMOSPHERES

In this study, we focus on the polarization angle of light scattered by terrestrial atmosphere-surface systems. The polarization angle describes the orientation of the plane in which the linearly polarized portion of light propagates. We show for skylight how this angle varies with the solar zenith angle and that, for skylight reflected by natural surfaces, these variations remain the same for wide ranges of atmospheric conditions and surface properties. This provides a tool for extracting scattering properties of the atmosphere from remote sensing observations of the Earth without any knowledge of the underlying surface. We demonstrate this principle for simulated data, and apply it to observations obtained by an airborne polarimeter over open oceans.
A review of the Augochloropsis (Hymenoptera, Halictidae) and keys to the shiny green Halictinae of the midwestern United States

﻿Abstract Augochloropsis and other shiny green Halictinae have had various taxonomic issues and are often misidentified. One prevailing taxonomic issue is that Augochloropsismetallica (Fabricius) has two subspecies, that have long been recognized as morphologically distinct (Augochloropsismetallicametallica and Augochloropsismetallicafulgida (Smith), but the subspecies are inconsistently applied in the literature. Here, we review the Augochloropsis of the Midwest and further address the Augochloropsis species in the broader United States to resolve the outstanding taxonomic issues with the midwestern species. We provide identification keys and diagnoses for the genera and species of the shiny green Halictinae of the midwestern United States, which includes the genera Agapostemon, Augochlora, Augochlorella, and Augochloropsis. This work results in taxonomic changes to Augochloropsis. Augochloropsissumptuosa (Smith) is split into two species, with the name Augochloropsissumptuosa retained for the eastern form, and Augochloropsishumeralis (Patton), stat. nov., reinstated for the western form. Augochloropsismetallica is split into five species, with two of those species occurring in the midwestern United States: Augochloropsismetallica and Augochloropsisviridula (Smith), stat. nov. Examination of the holotype of Augochloropsisfulgida (Smith) revealed that it does not agree with the prevailing concept of Augochloropsismetallicafulgida; it is reinstated as Augochloropsisfulgida, stat. nov., but is currently known only from the holotype female from Florida. Augochloropsiscuprea (Smith), long considered to be a synonym of Augochloropsismetallica, is also distinct, and we are reinstating Augochloropsiscuprea, stat. nov., though the range of this species is unclear. We further recognize Augochloropsisfulvofimbriata (Friese), stat. nov., from South and Central America, as distinct. These changes result in a total of three Augochloropsis species in the Midwest and seven named species in the United States. We are aware of additional species from the southern and southwestern United States that are undescribed, and we highlight additional taxonomic work that remains to be done.
Standing on the Shoulders of Dwarfs: the Kepler Asteroseismic LEGACY Sample. I. Oscillation Mode Parameters

The advent of space-based missions like Kepler has revolutionized the study of solar-type stars, particularly through the measurement and modeling of their resonant modes of oscillation. Here we analyze a sample of 66 Kepler main-sequence stars showing solar-like oscillations as part of the Kepler seismic LEGACY project. We use Kepler short-cadence data, of which each star has at least 12 months, to create frequency-power spectra optimized for asteroseismology. For each star, we identify its modes of oscillation and extract parameters such as frequency, amplitude, and line width using a Bayesian Markov chain Monte Carlo “peak-bagging” approach. We report the extracted mode parameters for all 66 stars, as well as derived quantities such as frequency difference ratios, the large and small separations and the behavior of line widths with frequency and line widths at with , for which we derive parametrizations; and behavior of mode visibilities. These average properties can be applied in future peak-bagging exercises to better constrain the parameters of the stellar oscillation spectra. The frequencies and frequency ratios can tightly constrain the fundamental parameters of these solar-type stars, and mode line widths and amplitudes can test models of mode damping and excitation.
Post-Newtonian Jeans Analysis

The Jeans analysis is studied in the first post-Newtonian limit. In other words, the relativistic effects on local gravitational instability are considered for systems whose characteristic velocities and corresponding gravitational fields are higher than those permitted in the Newtonian limit. The dispersion relation for the propagation of small perturbations is found in the post-Newtonian approximation using two different techniques. A new Jeans mass is derived and compared to the standard Jeans mass. In this limit, the relativistic effects make the new Jeans mass smaller than the Newtonian Jeans mass. Furthermore, the fractional difference between these two masses increases when the temperature/pressure of the system increases. Interestingly, in this limit, pressure can enhance gravitational instability instead of preventing it. Finally, the results are applied to high-temperature astrophysical systems, and the possibility of local fragmentation in some relativistic systems is investigated.
Selective transmission of Dirac electrons and ballistic magnetoresistance of n − p junctions in graphene

We show that an electrostatically created n-p junction separating the electron and hole gas regions in a graphene monolayer transmits only those quasiparticles that approach it almost perpendicularly to the n-p interface. Such a selective transmission of carriers by a single n-p junction would manifest itself in nonlocal magnetoresistance effect in arrays of such junctions and determines the unusual Fano factor in the current noise universal for the n-p junctions in graphene.
Self-efficacy of Teachers in Teaching English amid the Covid-19 Pandemic

This study aimed to analyze teachers’ self-efficacy in teaching English as a Foreign Language (EFL) amid the Covid-19 pandemic in Cilacap, Central Java province, Indonesia. The study used a qualitative case study design. This study had exposed the questionnaire from twelve teachers in three Senior High Schools and interviewed four teachers from each of these three schools as the represented respondents. The data were then analyzed using the interactive model of data analysis. Moreover, the responses for the self-efficacy scale revealed the result of the percentage used to conclude and the interview result usage to support the teachers’ perception of their self-efficacy in teaching English. The result proved that these teachers possess a high self-efficacy in teaching EFL. These teachers delivered positive responses and perceptions of their high self-efficacy, which encouraged them to have a great deal of determining instructional strategies, engaging the students, and managing the class during distance learning. Furthermore, specific findings within the domains of instructional strategies, student engagement, and classroom management provide further insight into the importance of examining the overall self-efficacy of EFL teachers in supporting distance learning.
Study habits of health sciences students in a selected university

Study habits have an impact on students' capacity for learning. Amongst these, the technology use has implicit a controversial part. This study aimed to assess the study habits of university students and the role of technology in learning. A cross sectional survey was conducted. A simple random sampling technique of 301 students from the different colleges of the selected university was used. A self-administered developed questionnaire about the students’ demographic data, their study habits including time management, study environment, study techniques, test preparation, device used for studying, number of hours per day spent on technology and how technology enhances learning. The findings revealed that most of students preferred to use laptop for learning. Around half of them spent 2-5 hours every day on technology for studying purpose. There was a statistical significant difference between gender, nationality and different element of the students study habits as time management and methods of studying as teacher notes and attending the revision classes. More than textbooks, students rely on technology for their academic work. The use of technology to enhance university students' psychomotor and linguistic abilities, including communication skills that are crucial for the health care team, can be the subject of further research.
Advanced Camera for Surveys Photometry of the Cluster RDCS 1252.9–2927: The Color-Magnitude Relation at z = 1.24

We investigate the color-magnitude (CM) relation of galaxies in the distant X-ray-selected cluster RDCS 1252.9-2927 at z = 1.24 using images obtained with the Advanced Camera for Surveys on the Hubble Space Telescope in the F775W and F850LP bandpasses. We select galaxies based on morphological classifications extending about 3.5 mag down the galaxy luminosity function, augmented by spectroscopic membership information. At the core of the cluster is an extensive early-type galaxy population surrounding a central pair of galaxies that show signs of dynamical interaction. The early-type population defines a tight sequence in the CM diagram, with an intrinsic scatter in observed (i775-z850) of 0.029 ± 0.007 mag based on 52 galaxies or 0.024 ± 0.008 mag for ~30 elliptical galaxies. Simulations using the latest stellar population models indicate an age scatter for the elliptical galaxies of about 34%, with a mean age τL ≳ 2.6 Gyr (corresponding to zL ≳ 2.7), and the last star formation occurring at zend ≳ 1.5. Transforming to rest-frame (U-B), we conclude that the slope and scatter in the CM relation for morphologically selected early-type galaxies show little or no evidence of evolution out to z ≈ 1.2. Thus, elliptical galaxies were already well established in X-ray-luminous clusters when the universe was a third of its present age.
Services trade and infrastructure development: Evidence from African countries

Abstract Using a dynamic system GMM estimate, this study analyzed the impact of services trade on the development of infrastructure in 38 African countries over the period 2000–2020. Telecommunications, trade/transport-related, and port infrastructures were modelled as the dependent variables on services trade openness. Other sets of control variables include real GDP, financial development, gross fixed capital formation, external debt, population density, urbanization, exchange rate, and services value-added. Our empirical strategy revealed that regardless of the infrastructure indicator used in the estimate, services trade, GDP, financial development, external debt, and services value-added significantly promote the development of infrastructure in the continent. Capital formation increases trade/transport-related and reduces port infrastructure while population density increases trade/transport-related and port infrastructure. The finding further indicates that urbanization increases telecommunications and reduces trade/transport-related infrastructure. The exchange rate reduces the development of telecommunications and port infrastructure. The findings are therefore vital to present policies related to services trade and infrastructure development in African countries.
An empirical evaluation of feature extraction for Vietnamese fruit classification

In recent years, Vietnamese fruit production has marked significant progress in terms of scale and product structure. Viet Nam enjoys suitable climates for tropic, subtropical fruits, and some temperate fruits. Thanks to the diversified ecology, implementing an automatic classification system has received a significant concern. In this paper, we address the problem of Vietnamese fruit classification. However, the first requirement to explore this problem is the qualified dataset. To this end, we first introduced the UIT-VinaFruit20 dataset, a novel Vietnamese fruit image dataset that includes 63,541 images from 20 types of fruits from three regions of Viet Nam. The diversity in different fruits in distinct areas poses many new challenges. In addition, we further leverage the feature extraction from hand-crafted and deep learning features along with the SVM classification model to effectively classify Vietnamese fruits. The extensive experiments conducted on the UIT-VinaFruit20dataset provide a comprehensive evaluation and insightful analysis. An encouraging empirical success was obtained as the EfficientNetB0 feature achieved the best results of 85.465 % and 86.919 % in terms of Accuracy and Macro F1-score, respectively
Large K r -free subgraphs in K s -free graphs and some other Ramsey-type problems

In this paper we present three Ramsey-type results, which we derive from a simple and yet powerful lemma, proved using probabilistic arguments. Let 3 ≤ r < s be fixed integers and let G be a graph on n vertices not containing a complete graph Ks on s vertices. More than 40 years ago Erdos and Rogers posed the problem of estimating the maximum size of a subset of G without a copy of the complete graph Kr. Our first result provides a new lower bound for this problem, which improves previous results of various researchers. It also allows us to solve some special cases of a closely related question posed by Erdos. For two graphs G and H, the Ramsey number R(G, H) is the minimum integer N such that any red-blue coloring of the edges of the complete graph KN, contains either a red copy of G or a blue copy of H. The book with n pages is the graph Bn consisting of n triangles sharing one edge. Here we study the book-complete graph Ramsey numbers and show that R(Bn, Kn) ≤ O(n3/log3/2n), improving the bound of Li and Rousseau. Finally, motivated by a question of Erdos, Hajnal, Simonovits, Sos, and Szemeredi, we obtain for all 0 < d < 2/3 an estimate on the number of edges in a K4-free graph of order n which has no independent set of size n1-d. © 2004 Wiley Periodicals, Inc. Random Struct. Alg. , 2005
Virome Profiling of an Amur leopard cat Reveals Multiple Anelloviruses and a Bocaparvovirus

Simple Summary Wildlife constitutes an essential part of the biodiversity on our planet. However, many factors put numerous species at the risk of extinction, among which infectious diseases are largely neglected. In this study, we report a pan-virome profiling of a rescue-failed Amur leopard cat. The results revealed abundant bacteriophages and multiple mammalian viruses, i.e., anelloviruses and a bocaparvovirus, in various organs of the animal, but no RNA viruses. Although the pathogenicity of anellovirus and bocaparvovirus is unknown, they showed very close phylogenetic relationships with other feline viruses, suggesting the circulation of certain viruses among domestic and wild felines. To our knowledge, this is the first report describing the virus diversity harbored by Amur leopard cats, which helps to understand the interaction of viruses between domestic animals and wildlife. Abstract As a small top predator, Amur leopard cat (Prionailurus bengalensis euptilurus) is widely distributed in northeast Asia and plays an important role in the control of small rodent populations and in the maintenance of ecological equilibrium. However, the viruses harbored by this creature have been rarely investigated. Here, we report the DNA and RNA eukaryotic virome profiling of an injured Amur leopard cat followed by PCR validation, which revealed diverse anelloviruses in multiple organs and a bocaparvovirus in the lymph, but no RNA viruses. These anelloviruses have diverse genomic structures and are classified into four phylogroups with viruses of various felines, while the bocaparvovirus is extremely similar to those recovered from diarrheal domestic cats, illustrating the transmission of the virus between domestic animals and wildlife. These data provide the first insight into the genetic diversity of Amur leopard cat viruses, highlighting the need for further investigation of wild animals.
Giant Primeval Magnetic Dipoles

Macroscopic magnetic dipoles are considered cosmic dark matter. Permanent magnetism in relativistic field structures can involve some form of superconductivity, one example being current-carrying string loops (“springs”) with vanishing net tension. We derive the cross-section for free classical dipoles to collide, finding it depends weakly on orientation when mutual precession is rapid. The collision rate of “spring” loops with tension in galactic halos approaches the measured rate of fast radio bursts (FRBs) if the loops compose most of the dark matter. A large superconducting dipole (LSD) with mass ∼1020 g and size ∼1 mm will form a ∼100 km magnetosphere moving through interstellar plasma. Although hydromagnetic drag is generally weak, it is strong enough to capture some LSDs into long-lived rings orbiting supermassive black holes (SMBHs) that form by the direct collapse of massive gas clouds. Repeated collisions near young SMBHs could dominate the global collision rate, thereby broadening the dipole mass spectrum. Colliding LSDs produce tiny, hot electromagnetic explosions. The accompanying paper shows that these explosions couple effectively to propagating low-frequency electromagnetic modes, with output peaking at 0.01–1 THz. We describe several constraints on, and predictions of, LSDs as cosmic dark matter. The shock formed by an infalling LSD triggers self-sustained thermonuclear burning in a C/O (ONeMg) white dwarf (WD) of mass ≳1 M⊙ (1.3 M⊙). The spark is generally located off the center of the WD. The rate of LSD-induced explosions matches the observed rate of Type Ia supernovae.