Miracle-dz/UniFAR-FTUs huggingface dataset:
Diagnosis of Male Central Hypogonadism During Childhood

Abstract The diagnosis of male central (or hypogonadotropic) hypogonadism, typically based on low luteinizing hormone (LH) and testosterone levels, is challenging during childhood since both hormones are physiologically low from the sixth month until the onset of puberty. Conversely, follicle-stimulating hormone (FSH) and anti-Müllerian hormone (AMH), which show higher circulating levels during infancy and childhood, are not used as biomarkers for the condition. We report the case of a 7-year-old boy with a history of bilateral cryptorchidism who showed repeatedly low FSH and AMH serum levels during prepuberty. Unfortunately, the diagnosis could not be ascertained until he presented with delayed puberty at the age of 14 years. A gonadotropin-releasing hormone (GnRH) test showed impaired LH and FSH response. By then, his growth and bone mineralization were partially impaired. Gene panel sequencing identified a variant in exon 15 of FGFR1, affecting the tyrosine kinase domain of the receptor, involved in GnRH neuron migration and olfactory bulb morphogenesis. Testosterone replacement was started, which resulted in the development of secondary sexual characteristics and partial improvement of bone mineral density. This case illustrates the difficulty in making the diagnosis of central hypogonadism in boys during childhood based on classical criteria, and how serum FSH and AMH assessment may be helpful if it is suspected before the age of puberty, and confirm it using next-generation sequencing. The possibility of making an early diagnosis of central hypogonadism may be useful for a timely start of hormone replacement therapy, and to avoid delays that could affect growth and bone health as well as psychosocial adjustment.
Cr(VI) Removal from Water with Amorphous Graphite Concentrate Contaminated by Iron

ABSTRACT This work attempted to explore the feasibility of using iron-contaminated graphite concentrate as an effective adsorbent for Cr(VI) removal from polluted water. Adsorption isotherm and kinetics were conducted to investigate the Cr(VI) removal capacity by the iron-contaminated amorphous graphite concentrates. In addition, SEM-EDS, XPS were carried out to further examine the solid samples. The results showed that amorphous graphite concentrate had a 1.52 mg/g adsorption capacity of Cr(VI), with the adsorption being fitted well with the pseudo-second-order kinetics model. In addition, chemical adsorption of Cr(V) on iron-contaminated graphite concentrate due to the formation of ≡Fe-O4HCr and Fe2-(CrO4)3 complexes was proposed. This study revealed that iron-contaminated amorphous graphite concentrate would be a cheap and good adsorbent for the removal of Cr(VI) from contaminated water.
Healthcare Quality for Acute Illness during the COVID-19 Pandemic: A Multisite Qualitative Analysis

Supplemental Digital Content is available in the text. Introduction: The coronavirus disease 2019 (COVID-19) pandemic incited substantial changes to acute care delivery, including the rapid scale-up of telehealth and numerous changes to in-person care. This study explored health system changes associated with the COVID-19 pandemic and their influences on pediatric acute care delivery and quality of care. Methods: We conducted 38 semistructured interviews May–November 2020 with families and clinicians from 3 US regions, eliciting their perspectives and experiences regarding changes to acute care delivery during the pandemic. Interviews were analyzed using a general inductive approach to identify relationships between clinical care infrastructure, care processes, and healthcare quality. Results: Emerging knowledge of COVID-19 epidemiology and associated restrictions influenced care-seeking behaviors and clinical infrastructure and processes. Infrastructure changes included the closure of some clinics, limited “sick visit” hours and locations, and increased resources for telehealth. Modified care processes included the assignment of clinicians to specific roles, limitations on sibling attendance, increased referrals to other clinics, and iterative development of procedures and protocols. Although intended to increase safety, these changes appear to have decreased access, timeliness, and equity of care. High-quality care was supported by telephone triage processes, in-person visits following initial assessments by telehealth, and identification of diagnoses and populations best-suited to telehealth versus in-person care. Conclusions: Changes in acute care delivery during the COVID-19 pandemic may have negatively impacted healthcare quality in some domains. Implementation of pediatric-specific guidelines and decision aids describing diagnoses, populations, and procedures best-suited to telehealth may improve the quality of acute care delivery.
Apis andreniformis associated Actinomycetes show antimicrobial activity against black rot pathogen (Xanthomonas campestris pv. campestris)

This study aimed to investigate cultivable actinomycetes associated with rare honey bee species in Thailand and their antagonistic activity against plant pathogenic bacteria. Actinomycetes were selectively isolated from the black dwarf honey bee (Apis andreniformis). A total of 64 actinomycete isolates were obtained with Streptomyces as the predominant genus (84.4%) followed by Micromonospora (7.8%), Nonomuraea (4.7%) and Actinomadura (3.1%). All isolates were screened for antimicrobial activity against Xanthomonas campestris pv. campestris, Pectobacterium carotovorum and Pseudomonas syringae pv. sesame. Three isolates inhibited the growth of X. campestris pv. campestris during in vitro screening. The crude extracts of two isolates (ASC3-2 and ASC5-7P) had a minimum inhibitory concentration (MIC) of 128 mg L−1against X. campestris pv. campestris. For isolate ACZ2-27, its crude extract showed stronger inhibitory effect with a lower MIC value of 64 mg L−1 against X. campestris pv. campestris. These three active isolates were identified as members of the genus Streptomyces based on their 16S rRNA gene sequences. Phylogenetic analysis based on the maximum likelihood algorithm showed that isolate ACZ2-27, ASC3-2 and ASC5-7P were closely related to Streptomyces misionensis NBRC 13063T (99.71%), Streptomyces cacaoi subsp. cacaoi NBRC 12748T (100%) and Streptomyces puniceus NBRC 12811T (100%), respectively. In addition, representative isolates from non-Streptomyces groups were identified by 16S rRNA gene sequence analysis. High similarities were found with members of the genera Actinomadura, Micromonospora and Nonomuraea. Our study provides evidence of actinomycetes associated with the black dwarf honey bee including members of rare genera. Antimicrobial potential of these insect associated Streptomyces was also demonstrated especially the antibacterial activity against phytopathogenic bacteria.
Investigation of nanosized BaTio3 obtained by novel chemical route: Structural, dielectric and ferroelectric properties

ABSTRACT A novel chemical route was used to produce nanosized BaTiO3 at 150°C without mineralizer. The well-defined peaks observed in Raman spectroscopy prove the presence of high quality tetragonal crystal-lattice-symmetry and are used to better understand mechanism of polarization-switching dynamics with molecular-vibrational modes present in the crystal-lattice. Rietveld refinement shows best fit for X-ray diffraction data with tetragonal symmetry. Nanosized BaTiO3 exhibits typical P-E hysteresis-loop and demonstrates ferroelectric nature. Dielectric measurements show Curie temperature at 130°C. These study guarantees that the novel chemical route can be used to synthesize other lead-free-ferroelectric-functional materials suitable for thinner dielectrics in higher-capacitance multilayer-capacitors.
Investigation of Extended-Spectrum β-Lactamase and Carbapenemase Producing Gram-Negative Bacilli in Rectal Swabs Collected from Neonates and Their Associated Factors in Neonatal Intensive Care Units of Southern Ethiopia

Background Currently extended-spectrum β-lactamase (ESβL) and carbapenemase producing gram-negative bacteria are the greatest concern among the neonatal population with very limited therapeutic options. The aim of this study was to assess the prevalence of ESβL and carbapenemase producing gram-negative bacilli, associated factors and antimicrobial resistance patterns among neonates in intensive care units. Methods An institutional-based cross-sectional study was conducted from February to June 2021 on 212 neonates in intensive care units. Risk factors data were collected by using a well-designed questionnaire. A rectal swab sample was collected using a sterile cotton swab and inoculated on MacConkey agar. Bacterial isolates were identified using various biochemical tests. ESβL and carbapenemase were first screened by indicator cephalosporins (cefotaxime (30µg) and ceftazidine (30µg)) and carbapenem (meropenem and ertapenem), respectively. ESβL and carbapenemase were confirmed by a double-disk synergy test and modified carbapenem inactivation methods, respectively. SPSS version 21.0 was used for data analysis. A P-value ≤ 0.05 was considered as statistically significant. Results The overall prevalence of ESβL-producing gram-negative bacilli was 72/212 (34%). The predominant ESβL-producing isolate was Klebsiella pneumoniae 23/72 (31.9%) followed by Escherichia coli 17/72 (23.6%). Five (2.4%) carbapenemase-producing gram-negative bacilli were isolated. ESβL-producing isolates showed a high resistance against ampicillin 72/72 (100%), augmentin 69/72 (95.8%) and gentamycin 57/72 (79.2%). The majority 63/72 (87.5%) of isolated ESβL-producing gram-negative bacilli were multi-drug resistant (MDR). Rectal carriage of ESβL by neonates showed a statistically significant association with endotracheal intubation (p = 0.001; AOR = 4.2; 96% CI = (1.8–9.5)), treatment with ampicillin+gentamycin (p = 0.004; AOR = 3.3; 95% CI = (1.5–7.6)) and staying in a neonatal intensive care unit (NICU) between 11 and 20 days (p = 0.042; AOR = 2; 95% CI = (1.0–4.5)). Conclusion A high prevalence of ESβL-producing bacterial isolates was observed for commonly used antibiotics which needs further attention. Therefore, continuous and regular follow-ups of drug resistance patterns is important for the proper treatment and management of ESβL and carbapenemase producing gram-negative bacilli.
The determination and analysis of the complete mitochondrial genome of Dario dario (Anabantiformes: Badidae)

Abstract The classification of Badidae family based on morphology has been revised several times, but data on complete mitogenome are scarce, the complete mitochondrial genome of the Badidae fish Dario dario was characterized for the first time in the present study. The whole mitogenome was 16,830 bp in size and consisted of 13 protein-coding genes, 22 tRNAs, two rRNAs genes, a control region and origin of light-strand replication. The proportion of coding sequences with a total length of 11,431 bp was 67.92%, which encoded 3800 amino acids. The genome composition was highly A + T biased (58.12%), and exhibited a negative AT-skew (–0.0045) and GC-skew (–0.2347). All protein-coding genes started with ATG except for GTG in CO1, while stopped with the standard TAN codons or a single T. The control region (D-loop) ranging from 15,658 bp to 16,830 bp was 1173 bp in size. Phylogenetic analysis showed that D. dario was most closely related to Badis badis. The complete mitochondrial genome sequence provided new insight into taxonomic classification, and a more complex picture of species diversity within the Anabantiformes.
Improved scheme for the determination of methanol using a two-dimensional photonic crystal

ABSTRACT This paper reports a new method of detecting the concentration (mol L−1) of methanol by the use of a two-dimensional photonic crystal slab. Photonic band gap parameters are calculated using the plane wave expansion method. To find a model which has higher accuracy and practicality or applicability, fill factors used to analyze and compare the properties of the slab were computed. There is a linear proportional relationship between photonic band gap and dielectric constant of solution, which can be utilized to measure the concentration of methanol. The start frequency and the cutoff frequency also have a linear relationship with the dielectric constant of solution. The results show that a honeycomb lattice structure possesses better self-test functionality.
Double parton distributions in the nucleon from lattice simulations

We provide a first study of Mellin moments of double parton distributions (DPDs) in the nucleon on the lattice, where we consider several combinations of quark flavors and polarizations. These are accessible through two-current correlations, which can be obtained by evaluating four-point functions. In this context we consider all possible Wick contractions, where for almost all of them sufficiently clear signals are obtained. In the present study, we employ an n f = 2 + 1 CLS ensemble on a 96 × 323 lattice with lattice spacing a = 0.0856 fm and the pseudoscalar masses mπ = 355 MeV and mK = 441 MeV.
Stochastic Training is Not Necessary for Generalization

It is widely believed that the implicit regularization of SGD is fundamental to the impressive generalization behavior we observe in neural networks. In this work, we demonstrate that non-stochastic full-batch training can achieve comparably strong performance to SGD on CIFAR-10 using modern architectures. To this end, we show that the implicit regularization of SGD can be completely replaced with explicit regularization even when comparing against a strong and well-researched baseline. Our observations indicate that the perceived difficulty of full-batch training may be the result of its optimization properties and the disproportionate time and effort spent by the ML community tuning optimizers and hyperparameters for small-batch training.
Diffusivity in force-free simulations of global magnetospheres

Assuming that the numerical diffusivity triggered by violations of the force-free electrodynamics constraints is a proxy for the physical resistivity, we examine its impact on the overall dynamics of force-free aligned pulsar magnetospheres endowed with an equatorial current sheet. We assess the constraint violations as a diffusivity source. The effects of modifications on electric fields used to restore force-free conditions are not confined to the equatorial current sheet, but modify the magnetospheric dynamics on timescales shorter than the pulsar rotational period. These corrections propagate especially via a channel that was unexplored, namely, changes induced to the electric charge density, ρ. We quantify the global consequences of diffusivity by comparing different techniques to model ρ. By default, we combine a conservative ρ-evolution with hyperbolic/parabolic cleaning of inaccuracies in the Maxwell equations. As an alternative, we enforce a constrained evolution where ρ is directly computed as the electric field divergence. The conservative approach reduces the Poynting flux dissipated in the equatorial current sheet by an order of magnitude, along with an increase of the pulsar luminosity driven by a shift of the Y-point location. The luminosity changes according to LY∝α0. 11, where α is the ratio of diffusion to advection timescales, controlling the amount of (numerical) diffusivity. Our models suggest interpreting the luminosity dependence on the Y-point location as differences in resistivities encountered at the equatorial current sheet. Alternatively, they could be interpreted in terms of the pair formation multiplicity, κ, smaller diffusion being consistent with κ ≫ 1.
Guided Probabilistic Simulation of Complex Systems Toward Rare and Extreme Events

Simulation-based or dynamic probabilistic risk assessment methodologies were primarily developed for proving a more realistic and complete representation of the complex systems accident response. Such simulation-based methodologies have proven to be particularly powerful for systems with control loops and complex interactions between its elements, be they hardware, software, or human, as they provide a natural probabilistic environment to include physical models of system behavior (e.g., coupled neutronics and thermal-hydraulic codes for nuclear power plants), mechanistic models of materials or hardware systems to predict failure, and those of natural hazards. Despite the advancements in simulation-based methodologies, the fundamental challenge still persists as the space of possible probabilistic system trajectories is nearly infinite in size in simulating even systems of relatively low complexity.Existing methodologies that analyze and predict these scenarios, some of which may involve rare events of interest, are either computationally prohibitive for the high-dimensional systems of interest or are only effective for low-dimensional dynamics and cannot capture the large-scale, nonlinear behavior of interconnected complex systems.In this paper, a framework is developed to identify rare and extreme events and enabling the use of reverse trajectories to trace failures (or other system states) to causes for potential mitigation actions. This framework consists of an Intelligent Guidance module, Trajectory Generation module and Physical Simulation module. The Intelligent Guidance module provides planning information to the Trajectory Generation module that creates scenarios by interacting with the Physical Simulation in its environment. In turn, system trajectories or scenarios are created and post-processed to provide updating information to the Intelligent Guidance module or aggregate the results when stopping criteria are met. The objective of guided simulation is to control the growth of the “scenario tree” and to efficiently identify important scenarios that meet single or multiple criteria. We present several solution strategies, both qualitative and data-driven for each module.
Obstruction tensors in Weyl geometry and holographic Weyl anomaly

Recently a generalization of the Feﬀerman-Graham gauge for asymptotically locally AdS spacetimes, called the Weyl-Feﬀerman-Graham (WFG) gauge, has been proposed. It was shown that the WFG gauge induces a Weyl geometry on the conformal boundary. The Weyl geometry consists of a metric and a Weyl connection. Thus, this is a useful setting for studying dual ﬁeld theories with background Weyl symmetry. Working in the WFG formalism, we ﬁnd the generalization of obstruction tensors, which are Weyl-covariant tensors that appear as poles in the Feﬀerman-Graham expansion of the bulk metric for even boundary dimensions. We see that these Weyl-obstruction tensors can be used as building blocks for the Weyl anomaly of the dual ﬁeld theory. We then compute the Weyl anomaly for 6 d and 8 d ﬁeld theories in the Weyl-Feﬀerman-Graham formalism, and ﬁnd that the contribution from the Weyl structure in the bulk appears as cohomologically trivial modiﬁcations. Expressed in terms of the Weyl-Schouten tensor and extended Weyl-obstruction tensors, the results of the holographic Weyl anomaly up to 8 d also reveal hints on its expression in any dimension.
Multiframe Joint Enhancement for Early Interlaced Videos

Early interlaced videos usually contain multiple and interlacing and complex compression artifacts, which significantly reduce the visual quality. Although the high-definition reconstruction technology for early videos has made great progress in recent years, related research on deinterlacing is still lacking. Traditional methods mainly focus on simple interlacing mechanism, and cannot deal with the complex artifacts in real-world early videos. Recent interlaced video reconstruction deep deinterlacing models only focus on single frame, while neglecting important temporal information. Therefore, this paper proposes a multiframe deinterlacing network joint enhancement network for early interlaced videos that consists of three modules, i.e., spatial vertical interpolation module, temporal alignment and fusion module, and final refinement module. The proposed method can effectively remove the complex artifacts in early videos by using temporal redundancy of multi-fields. Experimental results demonstrate that the proposed method can recover high quality results for both synthetic dataset and real-world early interlaced videos. At the same time, the method also won the first place in the MSU Deinterlacer Benchmark. The code is available at: https://github.com/anymyb/MFDIN.
Multilingual Fact Linking

Knowledge-intensive NLP tasks can benefit from linking natural language text with facts from a Knowledge Graph (KG). Although facts themselves are language-agnostic, the fact labels (i.e., language-specific representation of the fact) in the KG are often present only in a few languages. This makes it challenging to link KG facts to sentences in languages other than the limited set of languages. To address this problem, we introduce the task of Multilingual Fact Linking (MFL) where the goal is to link fact expressed in a sentence to corresponding fact in the KG, even when the fact label in the KG is not available in the language of the sentence. To facilitate research in this area, we present a new evaluation dataset, IndicLink. This dataset contains 11,293 linked WikiData facts and 6,429 sentences spanning English and six Indian languages. We propose a Retrieval+Generation model, ReFCoG, that can scale to millions of KG facts by combining Dual Encoder based retrieval with a Seq2Seq based generation model which is constrained to output only valid KG facts. ReFCoG outperforms standard Retrieval+Re-ranking models by 10.7 pts in Precision@1. In spite of this gain, the model achieves an overall score of 52.1, showing ample scope for improvement in the task.ReFCoG code and IndicLink data are available at https://github.com/SaiKeshav/mfl
Time modulated media with digital meta-atoms

We develop the theory of acoustic wave propagation in a waveguide containing an array of time modulated digital meta-atoms, showing the equivalence between this array and a homogeneous, time varying, dispersive material. In the limit of an adiabatic time variation we find some choices of meta-atom coupling strength lead to exceptional points, where one mode is exponentially amplified and the adiabatic approximation breaks down. In the highly non--adiabatic limit we derive the analogue of reflection coefficients for an abrupt change in the meta-atom coupling. Due to dispersion we have both conversion between different types of modes, and different directions of propagation, which can be tuned through modifying the programmed response of the digital meta--atoms.
GTC/CanariCam Deep Mid-infrared Imaging Survey of Northern Stars within 5 pc

In this work we present the results of a direct imaging survey for brown dwarf companions around the nearest stars at the mid-infrared 10 micron range (λ c = 8.7 μm, Δλ = 1.1 μm) using the CanariCam instrument on the 10.4 m Gran Telescopio Canarias (GTC). We imaged the 25 nearest stellar systems within 5 pc of the Sun at declinations δ > −25° (at least half have planets from radial-velocity studies), reaching a mean detection limit of 11.3 ± 0.2 mag (1.5 mJy) in the Si-2 8.7 μm band over a range of angular separations from 1″ to 10″. This would have allowed us to uncover substellar companions at projected orbital separations between ∼2 and 50 au, with effective temperatures down to 600 K and masses greater than 30 M Jup assuming an average age of 5 Gyr and masses down to the deuterium-burning mass limit for objects with ages <1 Gyr. From the nondetection of such companions, we determined upper limits on their occurrence rate at depths and orbital separations yet unexplored by deep imaging programs. For the M dwarfs, the main component of our sample, we found with a 90% confidence level that fewer than 20% of these low-mass stars have L- and T-type brown dwarf companions with m ≳ 30 M Jup and T eff ≳ 600 K at ∼3.5–35 au projected orbital separations.