Miracle-dz/UniFAR-FTUs huggingface dataset:
Absorption from a multi-layer circumnuclear medium and reflection from the accretion disc in NGC 1365

NGC 1365 hosts an X-ray obscured AGN known for both its variable absorption and its relativistic features in the reflection component. Recent simultaneous observations performed by XMM-Newton and NuSTAR caught the source in a rare, nearly unobscured state, revealing the presence of a warm absorber and a neutral, but low column density (∼ 10^(22) cm^-2) absorber, usually not observable due to thicker layers along the line of sight. Here I propose a multi-layer structure of the circumnuclear medium which can explain all the observed absorption states of this source, and their variability properties. Remarkably, despite the spectral complexity due to this multi-component absorber, the relativistic reflection component (and hence the black hole spin) can be unambiguously measured through a time resolved spectroscopic analysis.
Upregulation of Inflammatory Mediators in Peripheral Blood CD40+ Cells in Children with Autism Spectrum Disorder

Autism spectrum disorder (ASD) is a common and severe neurodevelopmental disorder in early childhood, defined as social and communication deficits and repetitive and stereotypic behaviours. The aetiology is unknown in most cases. However, several studies have identified immune dysregulation as potentially promoting ASD. Among the numerous immunological findings in ASD, reports of increased pro-inflammatory markers remain the most consistently observed. C-C chemokine receptor type 1 (CCR1) activation is pro-inflammatory in several neurological disorders. Previous evidence has implied that the expression of chemokine receptors, inflammatory mediators, and transcription factors play a pivotal role in several neuroinflammatory disorders. There have also been reports on the association between increased levels of proinflammatory cytokines and ASD. In this study, we aimed to investigate the possible involvement of CCR1, inflammatory mediators, and transcription factor expression in CD40+ cells in ASD compared to typically developing controls (TDC). Flow cytometry analysis was used to determine the levels of CCR1-, IFN-γ-, T-box transcription factor (T-bet-), IL-17A-, retinoid-related orphan receptor gamma t (RORγt-), IL-22- and TNF-α-expressing CD40 cells in PBMCs in children with ASD and the TDC group. We further examined the mRNA and protein expression levels of CCR1 using real-time PCR and western blot analysis. Our results revealed that children with ASD had significantly increased numbers of CD40+CCR1+, CD40+IFN-γ+, CD40+T-bet+, CD40+IL-17A+, CD40+RORγt+, CD4+IL-22+, and CD40+TNF-α+ cells compared with the TDC group. Furthermore, children with ASD had higher CCR1 mRNA and protein expression levels than those in the TDC group. These results indicate that CCR1, inflammatory mediators, and transcription factors expressed in CD40 cells play vital roles in disease progression.
Prevalence of Streptococcus Pneumonia and Haemophillus Influenza in primary school children that diagnosed acute otitis media

Acute otitis media (AOM) remains a disease that cause major public health problem worldwide. Less information about its prevalence in Indonesia, especially in Java. The most common bacterial causes of AOM are Streptococcus pneumoniae, non-typeable Haemophilus influenzae, and Moraxella catarrhalis. There is increasing evidence that the predominant causative pathogen in AOM is changing from Streptococcus pneumoniae to non-typeable Haemophilus influenza since the introduction of pneumococcal conjugate vaccines. This study aims to determine the prevalence of Streptococcus pneumonia and Haemophillus influenzae in AOM in primary school children in Banyumas Regency. The design of this study was cross sectional and we conducted multistage random sampling to recruit the subject. Approximately 3,574 school children in Urban Banyumas Regency were screened based on the diagnose of AOM by Otolaryngologist. The resultof this study showed that the prevalence of AOM was 4,64 % (166 children were diagnosed with AOM). In AOM samples, the prevalence of Streptococcus pneumonia was found in 78,4 % by optochin test, while that of Haemophillus influenzae was found in 70,4% based on the need of X and V factor
Síntesis de evidencia y recomendaciones: directriz para el tamizaje, la detección y el tratamiento del cáncer de cuello uterino

RESUMEN Objetivos. Sintetizar las recomendaciones desarrolladas por la Organización Mundial de la Salud (OMS) con el fin de mejorar la calidad del cuidado y los desenlaces en salud sobre el tamizaje y tratamiento de las mujeres con lesiones precancerosas para la prevención del cáncer de cuello uterino. Métodos. Las directrices elaboradas por la OMS siguen los métodos de elaboración de la directriz GRADE (Grading of Recommendations Assessment Development and Evaluation) del Manual para el desarrollo de directrices de la OMS. Se llevó a cabo una síntesis de las recomendaciones de dos directrices de OMS. Adicionalmente, se realizó una búsqueda sistemática en PubMed, Lilacs, Health Systems Evidence, Epistemonikos y literatura gris de estudios desarrollados en las Américas con el fin de identificar barreras, facilitadores, estrategias de implementación e indicadores. Resultados. Se formularon 19 recomendaciones y 10 puntos de buena práctica para el tamizaje de lesiones precancerosas del cuello del útero y el tratamiento del cáncer de cuello uterino. Se identificaron barreras y facilitadores para la implementación y se crearon indicadores de adherencia y resultado. Conclusiones. Las recomendaciones formuladas proveen orientación para mejorar la calidad del cuidado y los desenlaces en salud sobre el tamizaje y tratamiento de las mujeres con lesiones precancerosas para la prevención del cáncer de cuello uterino, con consideraciones para su implementación en América Latina y el Caribe.
Investigating the Interstellar Medium Conditions of Star Formation in High Redshift Galaxies by studying Dust Emission and Emission lines

This thesis presents the search for the \cii 158 $\mu$m emission line, one of the brightest far-infrared (FIR) emission lines, in a selection of $z>6$ (the Universe was less than 1 Gyr old) galaxies. These galaxies have been observed with CARMA and PdBI millimeter interferometers and no \cii nor continuum emission is detected. The estimated upper limits show that the \cii line in these galaxies is not as bright as in some galaxies with similar values of star formation rates at lower redshifts. These results indicate that the low metallicity expected for these type of galaxies could be the reason of the non-detection of \cii. For a lensed multiple-imaged galaxy (MACS0329-iD) observed with the ALMA millimeter interferometer a tentative detection of the \cii emission line with a $3.7\sigma$ significance has been detected. This detection would put the galaxy at a spectroscopic redshift of $z=6.17722 \pm 0.00005$, in agreement with the photometric redshift previously estimated. The galaxy is not detected in the continuum, with a $3\sigma$ upper limit of 1.8 mJy at 158 $\mu$m restframe. The ratio between the tentative observed \cii emission line and the far-infrared luminosity of $>5.0\times10^{-4}$ puts this galaxy near what is typically found in the local star-forming galaxies. In conclusion, significantly deeper \cii observations than previously thought are need in the future to securely detect \cii emission in the highest redshift galaxies. This work also presents the search for lensed submillimeter galaxies with the goal of studying the faint population of dusty starbursting galaxies. Observations were made of 15 galaxy clusters using the bolometers LABOCA at APEX telescope and GISMO at IRAM 30 meters telescope. Of the 62 unique sources detected, we were able to find the galaxy counterpart to the far-infrared emission when was possible. Our sample of lensed submillimeter galaxies appears to be within the range of observed infrared luminosities at $z 2$. When comparing the stellar masses and the SFR of our sample, they appear to agree well with the main-sequence of galaxies at $z\sim2$. This thesis presents the efforts of studying high redshift galaxies with submillimeter and millimeter observations and some techniques to better analyze and understand them.
Scalable recursive state estimation for nonlinear two‐dimensional complex networks with switching topology

This paper investigates a scalable recursive state estimation method for nonlinear two‐dimensional (2‐D) stochastic complex networks. In these networks, the switching topology is modelled by random variables generated by the Bernoulli distribution. Considering the Extended Kalman Filter structure, we employ the Taylor series expansion to handle the nonlinear functions in the model. Hence, high‐order terms emerging in the linearization process are modelled by norm‐bounded parameter uncertainties. Due to the uncertainty of such a system, we obtain an upper bound for the estimation error covariance. Furthermore, we obtain an upper bound for the cross covariance to reduce the proposed filter's computational complexity and improve scalability. Within the established setting, next, the proposed filter is designed in such a way that the presented upper bounds are minimized. Finally, a numerical example is provided to illustrate the effectiveness of the proposed state estimation algorithm.
Learning Power Grid Outages With Higher-Order Topological Neural Networks

With the increase in cyber-physical threats and extreme weather events, resilience of the power system has become a problem of utmost societal importance. In this article, we propose a novel approach for resilience improvement of power distribution networks, based on the notions of persistent homology and simplicial neural networks (SNNs) which are new directions in graph learning. In particular, tools of persistent homology allow us to capture the most essential topological descriptors of the distribution network. In turn, extending the convolutional operation to simplicial complexes on the distribution network, using the Hodge-Laplacian analytics, enables us to describe complex interactions among multi-node higher order graph substructures. Such higher order graph substructures are of particular importance in distribution networks, since a change in power demand at a load bus (or the power supplied from a substation) will produce a corresponding perturbation in nodal variables (such as the bus voltages) and edge variables (such as branch currents). We validate our new Higher-Order Topological Neural Networks (HOT-Nets) model for contingency classification of three test distribution networks, the IEEE 37-bus feeder, IEEE 123-bus feeder, and the 342-bus low voltage network. Our experiment results on two case studies (i.e., (i) with sensors placed at all the buses alone in the networks and (ii) with partial observability in the networks) indicate that HOT-Nets substantially outperforms 9 state-of-the-art methods, yielding relative gains of up to 14.04% in terms of system resilience classification.
A Study Case of Short Dental Implants Loading in the All-On-4® System on Fixed Dental Prostheses: A Finite Element Analysis

The biomechanical research about toothless mandible with four dental implants and a prosthetic system research, which shows the influence of the cantilever length of prosthesis on the weakest structural elements and the load changes in peri-implant bone by changing symmetrically position of the dental implants (in relation to each other), diameters and lengths, and orientation (in relation to chewing surfaces), is not discussed widely in the scientific literature. On the other hand, the use of short implants is more common in practice. Some of these implants are only 8mm in length.The odontologists, implantologists and dental technician can use results received by finite element method (FEM) in the daily clinical practice in order to reduce the potential for mechanical / technological and consequent biological complications already at the planning stage of the treatment, and thus determine best outcomes in the treatment of toothless patients.With a unique interpretation of the results obtained by FEM, the paper discusses the results of implants (8 mm in length with 3.5 mm and 4.5 mm diameter) loading, when the cantilevered dental prostheses are loaded in different positions, as well as implant positions are changed.
Coronary Microvascular Dysfunction: Features and Prognostic Value

(1) Background: The results of the international studies support the assumption that coronary microvascular dysfunction (CMD) occurs significantly more often than previously identified and is associated with adverse outcomes. However, there is a lack of the accurate comprehension of its pathophysiology. The objectives of this study were to evaluate the clinical and instrumental features of CMD and to assess its prognostic value during 12 months of follow-up period. (2) Methods: A total of 118 patients with non-obstructive coronary artery disease (CAD) and preserved LV ejection fraction (62 [59; 64]%) were enrolled in the study. Serum levels of biomarkers were analyzed by enzyme-linked immunoassay. CMD was defined as the reduced myocardial flow reserve (MFR) ≤ 2 obtained by dynamic CZT-SPECT. Two-dimensional transthoracic echocardiography with evaluation of LV diastolic dysfunction was performed baseline. (3) Results: Patients were divided into groups depending on the presence of CMD: CMD+ group (MFR ≤ 2; n = 45), and CMD− group (MFR > 2; n = 73). In CMD+ group, the severity of diastolic dysfunction, the levels of biomarkers of fibrosis and inflammation were higher than in CMD− group. Multivariate regression analysis showed that the presence of diastolic dysfunction (OR 3.27; 95% CI 2.26–5.64; p < 0.001), the hyperexpression of NT-proBNP ≥ 760.5 pg/mL (OR 1.67; 95% CI 1.12–4.15; p = 0.021) and soluble ST2 ≥ 31.4 ng/mL (OR 1.37; 95% 1.08–2.98; p = 0.015) were independent factors associated with CMD. Kaplan–Meier analysis showed that a rate of the adverse outcomes was significantly (p < 0.001) higher in patients with CMD (45.2%, n = 19) than in patients without it (8.6%, n = 6). (4) Conclusions: Our data suggest that the presence of CMD was associated with the severe diastolic dysfunction and hyperexpression of the biomarkers of fibrosis and inflammation. Patients with CMD had higher rate of the adverse outcomes than those without it.
Imprinting-like effects of early adolescent music

This research examines the hypothesis that music experienced during puberty in early adolescence imprints on individuals to promote the pursuit of friendships and mating. We conducted an online survey with samples from the United States and China (Study 1) and a within-subject experiment (Study 2). Results suggest that most songs and poems identified as “favorites” were learned during early adolescence. Furthermore, compared with recently acquired songs and poems, those from early adolescence reminded participants more about friendship and induced more emotional reactions. In the Chinese sample, the shared preference for similar songs from early adolescence increased friendliness perception. Music from early adolescence also increased positive feelings more than other art forms, such as poems, fine arts, movies, dance, and views of natural scenery, especially when experienced in the company of friends than alone. In Study 2, singing songs from early adolescence (vs. those from recent years) enhanced the trustworthiness ratings of faces of the opposite sex and promoted intentions to cooperate. However, early adolescent music did not facilitate mating-related evaluations such as the ratings of facial attractiveness and artistic intelligence. The present two studies provide evidence that early adolescent songs learned during puberty possess imprinting-like effects on friendship formation and trust-building.
Assessment of Prevalence and Diversity of Antimicrobial Resistant Escherichia coli from Retail Meats in Southern California

Retail meat products may serve as reservoirs and conduits for antimicrobial resistance, which is frequently monitored using Escherichia coli as indicator bacteria. In this study, E. coli isolation was conducted on 221 retail meat samples (56 chicken, 54 ground turkey, 55 ground beef, and 56 pork chops) collected over a one-year period from grocery stores in southern California. The overall prevalence of E. coli in retail meat samples was 47.51% (105/221), with E. coli contamination found to be significantly associated with meat type and season of sampling. From antimicrobial susceptibility testing, 51 isolates (48.57%) were susceptible to all antimicrobials tested, 54 (51.34%) were resistant to at least 1 drug, 39 (37.14%) to 2 or more drugs, and 21 (20.00%) to 3 or more drugs. Resistance to ampicillin, gentamicin, streptomycin, and tetracycline were significantly associated with meat type, with poultry counterparts (chicken or ground turkey) exhibiting higher odds for resistance to these drugs compared to non-poultry meats (beef and pork). From the 52 E. coli isolates selected to undergo whole-genome sequencing (WGS), 27 antimicrobial resistance genes (ARGs) were identified and predicted phenotypic AMR profiles with an overall sensitivity and specificity of 93.33% and 99.84%, respectively. Clustering assessment and co-occurrence networks revealed that the genomic AMR determinants of E. coli from retail meat were highly heterogeneous, with a sparsity of shared gene networks.
User agency–based versus machine agency–based misinformation interventions: The effects of commenting and AI fact-checking labeling on attitudes toward the COVID-19 vaccination

This study aimed to examine the effects of commenting on a Facebook misinformation post by comparing a user agency–based intervention and machine agency–based intervention in the form of artificial intelligence (AI) fact-checking labeling on attitudes toward the COVID-19 vaccination. We found that both interventions were effective at promoting positive attitudes toward vaccination compared to the misinformation-only condition. However, the intervention effects manifested differently depending on participants’ residential locations, such that the commenting intervention emerged as a promising tool for suburban participants. The effectiveness of the AI fact-checking labeling intervention was pronounced for urban populations. Neither of the fact-checking interventions showed salient effects with the rural population. These findings suggest that although user agency- and machine agency–based interventions might have potential against misinformation, these interventions should be developed in a more sophisticated way to address the unequal effects among populations in different geographic locations.
The performance of a dissipative electro-optomechanical system using the Caldirola–Kanai Hamiltonian approach

By combining all optical, electronic, and mechanical capabilities, electro-optomechanical systems, along with the use of mechanical displacement, the conversion of low-frequency electrical signals into much higher-frequency optical signals is possible. This process provides several capabilities that have very important applications in various fields, including classical, as well as quantum communications. In this regard, the inevitable effect of dissipation on the performance indicators of such systems is one of the important issues affecting its efficiency. One approach for investigating the effect of dissipation is based on a time-dependent Hamiltonian has been known as the Caldirola-Kanai (CK) Hamiltonian, wherein the exponentially increasing mass, i.e. mt=m0eγt enters the mechanical oscillator system. Utilizing this approach shows that, the performance of the system under the influence of dissipation with CK Hamiltonian formalism, in which the dissipation terms are embedded in the Hamiltonian, are more logical, analytical, and reliable than considering the effect of dissipation with the phenomenological method (including the dissipation effects in the equations of motion by hand), which has been recently used in Bagci et al. (Nature, 507, 81, 2014). In our method, it is also possible to monitor the performance of the system via the adjustment of dissipation components, i.e., resistance R and reactance L (and CK damping parameter γ ) in the electrical (mechanical membrane) part of the system.
SSWT-UUNet++ Submarine Oil Pipeline Spill Detection Approach

The existing leak detection methods of submarine oil pipelines mainly rely on compositing synthetic aperture radar (SAR) satellite images to detect oil spills on the sea surface or installing underwater cameras to monitor the joints of submarine pipelines manually. The former is poor in timeliness and high in cost, while the latter is inflexible. Aiming at this, this letter studies the underwater image processing method of intelligent oil spill recognition using an underwater camera. Nevertheless, this method is currently faced with challenges, such as poor quality of datasets, unclear goals, and scarce quantity. The U-Net++ algorithm can theoretically reduce the dependence on the number of datasets. However, the pixel feature extraction method used by U-Net++ is difficult to achieve the segmentation effect of oil spill images, so a new network architecture suitable superpixel with texture (SSWT)-UNet++ based on texture superpixel is proposed. In SSWT-UNet++, the input is the oil spill image with texture superpixel division, and the output was changed to the middle layer. In addition, the resolution of each layer and the ratio of up/downsampling were adjusted. This algorithm completes the classification of oil spill texture superpixels and finally realizes oil spill detection according to the minimum bounding rectangle of the classification result of the oil spill region. Experimental verification shows that the final detection effect of the proposed algorithm is higher than that of other algorithms with an average precision (AP) of 0.985.