Miracle-dz/UniFAR-FTUs huggingface dataset:
Bacteriemia por Pseudomonas aeruginosa en niños: perfil de resistencia antimicrobiana

con bioquímicas se Resultados: En 12 meses se identificaron un total de 26 aislamientos en hemocultivo con Pseudomonas aeruginosa Se documentó resistencia cefalosporinas antipseudomonas (19.2%), aminoglucósidos (19.2%), carbapenémicos (26.9%), quinolonas (30.8%) y piperacilina-tazobactam (7.7%). Se reportó la presencia de betalactamasas de espectro extendido (11.5%) y 15.4% de detección de cepas MDR. La tasa de episodios de bacteriemias por Pseudomonas aeruginosa en esta institución es de 0.37 casos por 1,000 días de estancia intrahospitalaria. Conclusiones: La elevada tasa de resistencia antimicrobiana en ABSTRACT Palabras clave: Pseudomonas aeruginosa , bacteriemia, infección intrahospitalaria, pediatría, resistencia antimicrobiana. diseases caused by Pseudomonas aeruginosa in hospital settings, especially in intensive care units and immunocompromised patients.
Evaluation of In Vitro Equivalence of Commonly Available Generic Brands of Amlodipine Tablets in Saudi Arabia Under Biowaiver Conditions

When a medicine is not able to treat the disease for which it was intended, as in case of substandard and falsified drug products, it may prolong the disease and in worst scenario, the patient may die because of the untreated illness or the product itself. To ensure the quality and safety of medicine, WHO recommends timely evaluation of pharmaceutical quality. The present study is an attempt to evaluate the pharmaceutical properties and in vitro drug release of four generic brands and one innovator product (Norvasc) of amlodipine tablets (5 mg) according to USP and WHO guidelines. The products passed the compendial specifications of weight variation (˂ 5% deviation), friability (˂ 1% weight loss), and assay (90–110% of labeled amount). The tablets were fast-disintegrating, as complete disintegration observed in 1.20–1.64 min. The dissolution profiles of the generic products were equivalent to the innovator brand in pH 1.2 HCl and acetate buffer (pH 4.5) without statistical treatment (≥ 85% release in 15 min). In phosphate buffer (pH 6.8), ≥ 85% of drug dissolved in 30 min and in vitro equivalence was established by calculating the difference factor (f1 ˂ 15), similarity factor (f2 ˃ 50), and dissolution efficiency (± 10%). The tested brands met WHO BCS-based biowaiver criteria for in vitro dissolution testing, which ensured their pharmaceutical and therapeutic equivalence without in vivo screening and interchangeability with the innovator product.
Diversity and Transformation of Aid Patterns in Asia's "Emerging Donors"

This paper analyses comparatively the aid patterns and their formulation of four emerging donor countries: China, South Korea, Thailand and India. The aim of the paper is to increase understanding of how these countries’ aid patterns have been created and by what factors. The aid patterns employed by the emerging donors are divergent. Chinese aid has shifted from the overtly political and ideological to the commercialist; thus, current Chinese aid is closely tied to Chinese state owned enterprises (SOEs). Korean aid has consistently been commercialist, but recently it has incorporated universal and humanitarian considerations. Thailand has maintained a keen interest in aid as a stabiliser of its neighbouring countries. The Indian aid program was initially formed during the Cold War consonant with the ideology of the Non-Aligned Movement, but from the 1990s economic considerations became more important. Indian aid is influenced also by regional strategies, namely the stabilisation of neighbouring countries. Various factors are proposed to account for the formation and transformation of the aid patterns. Current Chinese aid is influenced by deepening economic interdependence and by diplomatic competition with Taiwan. Korean aid is promoted by pragmatic values and more recently by universal humanitarian values. The recent shift to a humanitarian emphasis is explained by a shift in the relative power balance of actors away from the conservative toward the progressive. In addition, its middle power status in the international community makes South Korea sensitive to competition from other donors, such as China, and to international pressure from DAC. Thai aid is motivated by the economic gap between Thailand and its neighbouring countries, by its strategies toward the Indo-China region, and by its compliance with DAC. The Indian aid program was initially formed during the Cold War in response to the political and ideological Non-Aligned Movement, but from the 1990s economic considerations became more important. India is also influenced by regional strategies, namely the stabilisation of neighbouring countries. This comparative analysis of these four emerging donors contributes to an understanding of the diversity of aid patterns and the particular factors that create them. The increasing diversity of aid patterns further implies potential for future pluralism of aid.
REGULARITY OF BAROCLINIC WAVES IN THE TERRESTRIAL AND MARTIAN ATMOSPHERES

Introduction: The highly regular nature of baroclinic waves in the wintertime northern hemisphere of Mars was first suggested by meteorological observations made during the Viking program [1]. Despite subsequent observational studies (e.g., [2],[3]) that provide much more detail about the waves and a number of theoretical and modeling studies (e.g., [4],[5], [6]), understanding of the cause of the regularity of the waves remains incomplete. In this paper, we present the experimental design and some preliminary results from an investigation of this phenomenon with an idealized general circulation model. Previous Theoretical Work: Based on the results of laboratory studies, Leovy [4] hypothesized that the high regularity of the Martian baroclinic waves compared to those of the Earth is a result of Mars having a significantly larger value of the ratio LR/a than the Earth, where LR is the Rossby deformation radius and a is the planetary radius. In physical terms, the greater regularity of the Martian baroclinic waves is hypothesized to result from the greater length scale of baroclinic instability relative to the domain scale available to the waves. An alternative proposal was advanced by Barnes [5], who used an idealized numerical study of a baroclinic wave to illustrate the importance of the radiative damping timescale to its qualitative behavior. The use of shorter thermal damping timescales in the study's QG β-plane model tended to produce baroclinic waves that equilibrated at finite amplitude and propagated steadily, while longer thermal damping timescales resulted in waves not reaching such a state and instead varying in time. Additional evidence of the significance of the thermal damping time was produced by Collins and James [6], who conducted idealized GCM simulations with various values of the thermal and surface frictional damping times and found that the GCM could alternately produce a strong zonal wave 3 traveling baroclinic wave or a circulation without regular baroclinic waves. Research Strategy: The hypothesis that the relatively short thermal damping time of the Martian atmosphere is the principal explanation for the regularity of its baroclinic waves has received more study than the earlier instability scale—domain scale hypothesis, but
Localization Error Measurement in Features Extraction Algorithms

Image features detection and matching is a fundamental step in many computer vision applications. A lot of methods have been proposed in recent years, with the aim to extract image features invariant to a group of transformations. Even if the state-of-art has not achieved the full invariance, many methods, like SIFT, Harris-affine and Hessian-affine combining a robust descriptor, give sufficient invariance for some practical applications. In contrast to the advance in the invariance of feature detectors, the detection precision has not been paid enough attention even if the repeatability and stability are extensively studied. In this report, we focus on the SIFT method and measures its localization precision by average localization error under a given geometric transform and localization uncertainty by covariance matrix. These measurements can be easily extended to other feature detectors. For those which are scale invariant, it can be shown that the localization error and localization uncertainty both increase with the scale of features.
Geometrical-Based Displacement Measurement With Pseudostereo Monocular Camera on Bidirectional Cascaded Linear Actuator

This article details the development of a geometrical-based displacement extraction framework capable of automatically extracting critical infrastructure measurements in one sequence. The framework is a novel rail viaduct bearing inspection pipeline implemented on Bearing Inspector for Narrow-space Observation Version 2 (BINOv2). BINOv2 is a tethered custom unmanned aerial vehicle system utilized to supplant labor-intensive pipelines and enhance inspection accuracy of infrastructure conditions in confined remote locations. The algorithm accepts stereoscopic images taken from a single monocular camera on a bidirectional cascaded linear actuator system in a rack-and-pinion configuration. A point cloud model generated from the image sets then runs through a hierarchical neural network for 3-D segmentation to extract targeted regions of interest. Our training pipeline generates and forms the full model's training dataset using only a small sample of real point clouds. The point cloud generated is inadequate to form the full bearing geometry profile. Therefore, the proposed framework projects best-fit circles based on the point cloud curvature to form the full bearing geometry profile so that the required displacement measurement is available for extraction. Several experiments were conducted on a mock-up and actual operational site to validate the proposed framework's accuracy, its robustness and comparison with other state-of-the-art alternatives.
Applying spatial autocorrelation and logistic regression to analyze land cover change trajectory in a forested watershed

Taiwan is more susceptible to earthquakes and typhoons because of the unique geographical position in the Northwestern Pacific Rim. It is necessary to understand the effects of such frequent natural disturbances on land cover change for watershed management and disaster mitigation. This study applied both global and local Moran’s I statistics to analyze the spatial autocorrelation of landslide patches in a natural disturbed watershed in eastern Taiwan. The land cover maps extracted from FORMOSAT-2 satellite images acquired in 2005, 2008, and 2011. A logistic regression model validated to predict occurrence probability of change trajectory. Results showed that spatial pattern of homogeneous landslide patches presented on small scales; while heterogeneous landslide pattern was on larger scales. Landslide patches had higher positive spatial autocorrelation and indicated that as regional hotspots in study area. After the trajectory calculation and classification, two unchanged and five changed trajectories dominated the study area. The most significant transformation of land cover was from forest to landslide and channel. In addition, a fittest logistic regression model predicted the occurrence probability of change trajectory in the study area. Among these environmental variables for logistic regression, lithology was the most important spatial determinant for the change trajectories. Curvature and aspect variables were also significant. This spatial statistical model was helpful for predicting the occurrence probabilities of the change trajectories.
Dynamic resource provisioning over cloud for revenue maximization

Cloud computing promises on-demand provisioning of resource to applications and services. In cloud computing, a provider leases its computing resources in the form of virtual machines to users, and a price is charged for the period they are used. Static pricing is the dominant pricing strategy in today's market but dynamic pricing helps to improve the revenue. The main challenge is to design an optimal dynamic pricing policy, to maximize the long-term revenue. Here adaptive increment approach will be used for revenue maximization problem with dynamic pricing as well as dynamic provisioning. The aim is to understand from a Cloud Computing company's perspective, how decisions about the pricing and the optimal allocation of the given resources for the various Cloud Services can be supported.
Combining POLDER-3 satellite observations and WRF-Chem numerical simulations to derive biomass burning aerosol properties over the Southeast Atlantic region

Abstract. Aerosol absorption is a key property to assess the radiative impacts of aerosols on climate at both global and regional scales. The aerosol physico-chemical and optical properties remain not sufficiently constrained in climate models, with difficulties to properly represent both the aerosol load and their absorption properties in clear and cloudy scenes, especially for absorbing biomass burning aerosols (BBA). In this study we focus on biomass burning (BB) particle plumes transported above clouds over the Southeast Atlantic (SEA) region off the southwest coast of Africa, in order to improve the representation of their physico-chemical and absorption properties. The methodology is based on aerosol regional numerical simulations from the WRF-Chem coupled meteorology-chemistry model combined with a detailed inventory of BB emissions and various sets of innovative aerosol remote sensing observations, both in clear and cloudy skies from the POLDER-3/PARASOL space sensor. Current literature indicates that some organic aerosol compounds (OC) called "brown carbon" (BrOC), primarily emitted by biomass combustion absorb the ultraviolet-blue radiation more efficiently than pure black carbon (BC). We exploit this specificity by comparing the spectral dependence of the aerosol single scattering albedo (SSA) derived from the POLDER-3 satellite observations in the 443–1020 nm wavelength range with the SSA simulated for different proportions of BC, OC and BrOC at the source level, considering the homogeneous internal mixing state of particles. These numerical simulation experiments are based on two main constraints: maintaining a realistic aerosol optical depth both in clear and above cloudy scenes and a realistic BC/OC mass ratio. Modelling experiments are presented and discussed to link the chemical composition with the absorption properties of BBA and to provide estimates of the relative proportions of black, organic and brown carbon in the African BBA plumes transported over the SEA region for July 2008. The absorbing fraction of organic aerosols in the BBA plumes, i.e., BrOC, is estimated at 2 to 3 %. The simulated mean SSA are 0.81 (565 nm) and 0.84 (550 nm) in clear and above cloudy scenes respectively, in good agreement with those retrieved by POLDER-3 (0.85 ± 0.05 at 565 nm in clear-sky and at 550 nm above clouds) for the studied period.
Foodborne Disease Risk Prediction Using Multigraph Structural Long Short-term Memory Networks: Algorithm Design and Validation Study

Background Foodborne disease is a common threat to human health worldwide, leading to millions of deaths every year. Thus, the accurate prediction foodborne disease risk is very urgent and of great importance for public health management. Objective We aimed to design a spatial–temporal risk prediction model suitable for predicting foodborne disease risks in various regions, to provide guidance for the prevention and control of foodborne diseases. Methods We designed a novel end-to-end framework to predict foodborne disease risk by using a multigraph structural long short-term memory neural network, which can utilize an encoder–decoder to achieve multistep prediction. In particular, to capture multiple spatial correlations, we divided regions by administrative area and constructed adjacent graphs with metrics that included region proximity, historical data similarity, regional function similarity, and exposure food similarity. We also integrated an attention mechanism in both spatial and temporal dimensions, as well as external factors, to refine prediction accuracy. We validated our model with a long-term real-world foodborne disease data set, comprising data from 2015 to 2019 from multiple provinces in China. Results Our model can achieve F1 scores of 0.822, 0.679, 0.709, and 0.720 for single-month forecasts for the provinces of Beijing, Zhejiang, Shanxi and Hebei, respectively, and the highest F1 score was 20% higher than the best results of the other models. The experimental results clearly demonstrated that our approach can outperform other state-of-the-art models, with a margin. Conclusions The spatial–temporal risk prediction model can take into account the spatial–temporal characteristics of foodborne disease data and accurately determine future disease spatial–temporal risks, thereby providing support for the prevention and risk assessment of foodborne disease.
Statistical Relation between Solar Flares and Coronal Mass Ejections with Respect to Sigmoidal Structures in Active Regions

Statistical dependences among features of coronal mass ejections (CMEs), solar flares, and sigmoidal structures in soft-X-ray images were investigated. We applied analysis methods to all the features in the same way in order to investigate the reproducibility of the correlations among them, which may be found from previous statistical studies. Samples of 211 M-class and X-class flares, observed between 2006 and 2015 by the Hinode/X-ray telescope, Solar and Heliospheric Observatory/Large Angle and Spectrometric Coronagraph, and Geostationary Operational Environmental Satellite, were examined statistically. Five kinds of analysis were performed: occurrence rate analysis, linear-correlation analysis, association analysis, the Kolmogorov–Smirnov test, and the Anderson–Darling test. These give three main results. First, the sigmoidal structure and long-duration events (LDEs) have a stronger dependence on CME occurrence than large X-ray-class events in on-disk events. Second, for the limb events, a significant dependence exists between LDEs and CME occurrence, and between X-ray-class events and CME occurrence. Third, 32.4% of on-disk flare events have sigmoidal structure and are not accompanied by CMEs. However, the occurrence probability of CMEs without sigmoidal structure is very small, 8.8%, in on-disk events. While the first and second results are consistent with previous studies, we provide for the first time a difference between the on-disk and limb events. The third result, that non-sigmoidal regions produce fewer eruptive events, is also different from previous results. We suggest that sigmoidal structures in soft X-ray images will be a helpful feature for CME prediction in on-disk flare events.
Evaluation method of aero-engine performance based on hybrid AP-HMM model

As the aero-engine is the heart of aircraft, it is very important to monitor and diagnose the performance of the aero-engine effectively. In this paper, a method based on AP(Affinity Propagation) clustering HMM(Hidden Markov Model) model is proposed to evaluate the aero-engine performance. First, the correlation analysis method is used to extract the main attributes of the original data. Then, AP theory and K-NN are used for clustering with different performances to establish the HMM model for performance analysis. The experimental results show that this method has good effect on the performance analysis of aero-engine, which can improve the clustering effect, the classification accuracy of boundary sampling points and the accuracy of performance evaluation results.
Expensive or expansive? Learning the value of boundary crossing in design projects

ABSTRACTBoundary crossing is a strategy as well as a tactic to bridge the gap between different activities in an organization. In design projects, boundary crossing is mainly associated with strategies such as multidisciplinary teams, integrated delivery methods and collaborative technologies. The value of these strategies in practice depends on the negotiation around the object of design, which is oriented to, on the one hand, exchange value, and, on the other hand, to use value. Learning the value of boundary crossing requires dealing with this specific contradiction at the boundaries of design projects. To let students learn the value of boundary crossing in this way, a board game that artificially introduces boundaries between players has been designed: The Expansive Hospital. This game was tested in a bachelor-level facility design course and the results suggest that knowing boundary-crossing strategies and having the necessary instruments alone do not necessarily lead to collaboration and sustainabl.
Automated In Situ Placing of Metal Components Into 3-D Printed FFF Objects

Screws are often used to connect 3-D printed parts to other objects. When screwing directly into printed plastic, the reliability is limited, and the connection can wear out over time. For more reliable connections, standard metal nuts are often inserted into slots designed into the object. This article presents an approach where nuts and other ferromagnetic components are integrated directly into the part while printing it. Our prototype machine is a modified Prusa-I3 fused filament fabrication printer with an electromagnetic pick and place tool. We introduce augmented slicing software, where the user can insert generic component models from a library and place them at arbitrary positions in the object. Cavities for the components and additional G-code commands for robotic placing are automatically generated and sent to the printer. A printed component tray is attached to the printbed, allowing different part configurations for each print. The pick and place unit is controlled by our OctoPrint plugin OctoPNP.
Preventive efficacy of trace elements chelates in poultry farming (review)

Trace elements in the body of the bird are in small quantities, but their role in productivity remains important. In order to get a quality carcass at the slaughterhouse, you need a constant supply of nutrients and, last but not least, microelements. Zinc and Manganese are essential trace elements that affect the growth and development of birds. And their deficiency in the body has a negative effect on the productivity of birds. In the diet of broilers trace elements are mainly added with a premix in the form of inorganic salts (sulfates, carbonates). However, these micronutrient compounds in the body of the bird are insufficiently absorbed, and increasing the dose of their introduction can cause toxicosis. Therefore, in order to prevent microelementosis, it is more appropriate to use organic compounds (chelates), which have a much higher level of bioavailability and less release into the environment. This review article describes the prophylactic efficacy of Zinc and Manganese chelates in micronutrient deficiencies in broiler chickens and laying hens. With a deficiency of a particular trace element develop metabolic disorders and other pathologies (perosis, etc.). Based on the presented data, it can be concluded that the use of organic forms of trace elements in poultry feeding is a better alternative to inorganic sources, as they can be used in smaller quantities. But due to their greater bioavailability, they are better absorbed, which has a positive effect on the productivity of broilers. Since knowledge about the use of chelated forms of trace elements in comparison with inorganic forms (salts, sulfates, etc.) in the diet of poultry is still poorly understood, it is necessary to further conduct research to prevent micronutrient deficiencies in these compounds.