Miracle-dz/UniFAR-FTUs huggingface dataset:
Massive Hemorrhage Due to Aortoesoghageal Fistula in an 11-Months-Old Infant: A Case Report

Aortoesophageal Fistula (AEF) with no prior history of cardiac disease or trauma is an uncommon but a mortal cause of Upper Gastro Intestinal Bleeding (UGIB) in children. In pediatric patients, AEF is mainly due to a congenital cardiac or vascular anomaly or foreign body ingestion. There are surgical, endoscopic, and interventional radiological treatment options; however, definitive treatment is surgical intervention. Because of the rapid and devastating course, diagnosis and treatment decision should be made quickly. In this article, we report a case of an 11-months-old infant who presented with hematemesis due to a primary aortoesophageal fistula. The patient was transported to the operating theater for an emergency endoscopy. He suffered massive hematemesis in the operating room and an emergency laparotomy was performed but no source of bleeding was detected. An undiagnosed AEF was found and repaired during a left thoracotomy. Despite massive volume resuscitation, the patient passed away four hours later in the PICU. The etiology of the fistula remains unknown.
A Multimodal Biometric System Based upon the Active Database Paradigm

Today, on many occasions and in many different places, one must be authorised in order to use certain services or applications or to access protected data. A user (person) can be authorised in three differant ways or combinations of ways: it is either information that user knows, something that the user possess or a measurement of some physical or psychological characterstics unique to that user. This paper describes using of complex events in active databases for authorisation purpose
Analysis, design and experimentation of a high voltage power supply for ozone generation based on the current-fed parallel-resonant push-pull inverter

The use of supply frequencies above 50-60 Hz allow to increase the power density applied to the ozonizer electrode surface and increase ozone production for a given surface area, while decreasing the necessary peak voltage. Parallel resonant converters are well suited for supplying the high capacitive load of ozonizers. Therefore, in This work the current-fed parallel-resonant push-pull inverter is proposed as a good option to implement high-voltage high-frequency power supplies for ozone generators. The proposed converter is analyzed and some important characteristics are obtained. The design and implementation of the complete power supply are also shown. The UC3872 integrated circuit is proposed in order to operate the converter at resonance, allowing to maintain a good response disregarding the changes in electric parameters of transformer-ozonizer pair. Experimental results for a 50 W prototype are also provided.
A framework for quantifying soundscape diversity using Hill numbers

Soundscape studies are increasingly used to capture landscape‐scale ecological patterns. Yet, several aspects of soundscape diversity remain unexplored. Although some processes influencing acoustic niche usage may operate in the 24‐hr temporal domain, most acoustic indices only capture the diversity of sounds co‐occurring in sound files at a specific time of day. Moreover, many indices do not consider the relationship between the spectral and temporal traits of sounds simultaneously. To provide novel insights into landscape‐scale patterns of acoustic niche usage at broader temporal scales, we present a workflow to quantify soundscape diversity through the lens of trait‐based ecology. Our workflow quantifies the diversity of sound in the 24‐hr acoustic trait space. We introduce the Operational Sound Unit (OSU), a unit of diversity measurement that groups sounds by their shared acoustic properties. Using OSUs and building on the framework of Hill numbers, we propose three metrics that capture different aspects of acoustic trait space usage: (i) soundscape richness, (ii) soundscape diversity and (iii) soundscape evenness. We demonstrate the use of these metrics by (a) simulating soundscapes to assess whether the indices possess a set of desirable behaviours and (b) quantifying soundscape richness and evenness along a gradient in species richness. We demonstrate that (a) the indices outlined herein have desirable behaviours and (b) the soundscape richness and evenness are positively correlated with the richness of sound‐producing species. This suggests that more acoustic niche space is occupied when the species richness is higher. Additionally, species‐poor acoustic communities have a higher proportion of rare sounds and use the acoustic space less evenly. Our workflow generates novel insights into acoustic niche usage at a landscape scale and provides a useful tool for biodiversity monitoring. Moreover, Hill numbers can also be used to measure the taxonomic, functional and phylogenetic diversity. Using a common framework for diversity measurement gives metrics a common behaviour, interpretation and standardised unit, thus ensuring comparisons between soundscape diversity and other metrics represent real‐world ecological patterns rather than mathematical artefacts stemming from different formulae.
Use of Transparent Dielectric Resonator Antenna as a Light Cover

This paper presents a dualband transparent hollow hemispherical dielectric res- onator antenna (DRA) functioning as a light cover. The dualband DRA is excited by a coaxial- cable-fed aperture. The lower and upper bands of the antenna can cover the IEEE 802.11b WLAN band (2.4{2.48GHz) and IEEE 802.11a WLAN band (5.15{5.35GHz), respectively. AN- SYS HFSS was used to simulate the re∞ection coe-cient, radiation pattern, and gain of the antenna. Measurements were carried out to verify the simulations and reasonable agreement between them is obtained. Results of using the transparent DRA as a light cover are reported.
Antimicrobial Resistance Development Pathways in Surface Waters and Public Health Implications

Human health is threatened by antibiotic-resistant bacteria and their related infections, which cause thousands of human deaths every year worldwide. Surface waters are vulnerable to human activities and natural processes that facilitate the emergence and spread of antibiotic-resistant bacteria in the environment. This study evaluated the pathways and drivers of antimicrobial resistance (AR) in surface waters. We analyzed antibiotic resistance healthcare-associated infection (HAI) data reported to the CDC’s National Healthcare Safety Network to determine the number of antimicrobial-resistant pathogens and their isolates detected in healthcare facilities. Ten pathogens and their isolates associated with HAIs tested resistant to the selected antibiotics, indicating the role of healthcare facilities in antimicrobial resistance in the environment. The analyzed data and literature research revealed that healthcare facilities, wastewater, agricultural settings, food, and wildlife populations serve as the major vehicles for AR in surface waters. Antibiotic residues, heavy metals, natural processes, and climate change were identified as the drivers of antimicrobial resistance in the aquatic environment. Food and animal handlers have a higher risk of exposure to resistant pathogens through ingestion and direct contact compared with the general population. The AR threat to public health may grow as pathogens in aquatic systems adjust to antibiotic residues, contaminants, and climate change effects. The unnecessary use of antibiotics increases the risk of AR, and the public should be encouraged to practice antibiotic stewardship to decrease the risk.
A miniaturized mm‐wave leaky wave antenna based on CRLH slow‐wave SIW for symmetric wide angle beam scanning

In this article, a novel miniaturized wide beam scanning range multi‐layered mm‐wave leaky‐wave antenna (LWA) based on slow‐wave (SW) substrate‐integrated waveguide (SIW) is presented. The SW effect is introduced by loading conventional SIW with internal metalized blind vias connected to the bottom ground plane. The SW effect in the SIW structure causes the separation of the electric and magnetic field components in the structure which leads to the reduction in lateral dimensions of the proposed topology by 35% as compared to the conventional SIW. The proposed LWA exhibits a miniaturized volume of 6.6 × 0.41 × . 07 λ3. The radiation in the proposed design is realized by introducing U‐shaped slots in the unit cell of the SW‐SIW structure. Experimental results show that the proposed SW‐SIW LWA achieves almost symmetric and continuous beam scanning from −48° to 52° including the broadside direction within the impedance bandwidth of 23.7–28.1 GHz. The proposed antenna achieves a peak gain of 14.52 dBi and the half‐power beamwidth of LWA is as low as 10°. The proposed antenna also exhibits radiation efficiency of above 90% within the bandwidth. The proposed design can be a potential candidate for mm‐wave frequency beam scanning applications.
Visual alertness and brain diffusion tensor imaging at term age predict neurocognitive development at preschool age in extremely preterm‐born children

Cognitive development is characterized by the structural and functional maturation of the brain. Diffusion‐weighted magnetic resonance imaging (dMRI) provides methods of investigating the brain structure and connectivity and their correlations with the neurocognitive outcome. Our aim was to examine the relationship between early visual abilities, brain white matter structures, and the later neurocognitive outcome.
Sorghum Physiology and Adaptation to Abiotic Stresses

Sorghum (Sorghum bicolor (L.) Moench) is the world's fifth most important cereal and a staple crop for nations in Sub-Saharan Africa and Asia, with great biomass production potential. In the dry and semi-arid tropics, it may be considered as a source of human food, grain, and pasture for cattle, as well as fuel. Abiotic stress factors such as drought, warmth, salt, and submergence remain key limitations to crop growth and yield as a result of climate change. Although sorghum can resist a variety of conditions such as heat, drought, salt, and floods, in dry and semi-arid areas, this crop is typically damaged by water stress at the post-flowering stage. Drought tolerance is a result of morphological and anatomical characteristics (thick leaf wax, leaf rolling, deep root system, and kranz anatomy), as well as physiological responses such as osmotic adjustment via osmoprotectants, stay green traits, quiescence, and ROS-scavenging enzymes such as catalases (CAT), superoxide dismutase (SOD), peroxidases (POD), and ascorbate peroxida (APX). Drought resistance is enhanced by functional proteins such as aquaporin, late embryogenesis abundant (LEA) proteins, heat shock protein, and regulatory proteins such as protein kinase, various transcription factors such as DREB2, bZIP, and phytohormones such as ABA and ethylene. Drought-tolerant sorghum genotypes contain greater osmolyte, chlorophyll, RWC decrease, leaf rolling, and up-regulation of various enzymes and regulatory proteins. When breeding for drought resistance, it's crucial to understand the various drought tolerance mechanisms in plants. The key to generating abiotic stress-tolerant agricultural plants in the future is to understand the physiological underpinning of crop production, crop responses, and crop adaptability in stress-prone locations under sustainable agriculture.
Taxonomy of the genus

The genus Cyrtogrammomma Pocock, 1895 was proposed based on specimen samples from Monte Roraima, Guyana, and allocated in the family Barychelidae. However, the most recent cladistic analysis transferred Cyrtogrammomma to Theraphosidae. Herein, we amended the diagnosis and description of C. monticola, providing a redescription of the male, and new illustrations, including the description of a new cuticular structure consisting of thick and stiff setae on dorsal metatarsi I and II of females. Moreover, we diagnose, describe and illustrate a new species of Cyrtogrammomma from northeastern Brazil: C. frevo sp. nov. In addition, we provide an identification key, new distribution records of the genus in the states of Alagoas, Bahia, Pará, and Pernambuco, in Brazil, and the first record for the genus in caves.
Assessing the anthropogenic carbon emission of wooden construction: an LCA study

ABSTRACT Life cycle assessment (LCA) has been widely used to investigate the environmental performance of building developments. However, LCA studies on the construction stage emissions are limited due to its relatively minor impacts in a building life cycle. In view of the continual advancement in energy efficiency and building services, reducing carbon emissions from the construction activities will become more important. Such emission reduction is particularly crucial for wooden construction because reductions in these anthropogenic carbon emissions can enhance the utility of biogenic carbon sequestration and reduce the distance to carbon flux neutrality. This study applies LCA to a wooden construction to evaluate the anthropogenic carbon emissions from the material extraction, production, transportation, and particularly the construction stage. LCA data disaggregation is adopted to identify the unnoticed emission hotspots, contexts of the occurrence, and countermeasures against the underperformance for individual processes. The findings highlight that concrete foundation works of wooden constructions can contribute significantly to not only embodied carbon but also construction carbon emissions, and suggest courses of action for wooden constructions to reduce the anthropogenic carbon emissions. Future research should enrich the disaggregated LCA data for inter-referencing sustainable strategies to reduce the anthropogenic carbon emissions throughout the building life cycle.
Integrating Learning Outcomes of Student Final Year Project with Objectives of a Research Project: Designing an All-In-One System for Climate Control and Air Purification

Context: This paper investigates the integration of research project objectives into student projects. The main research project aimed to develop a novel piece of equipment to address a serious social issue. Substandard housing causes respiratory ill-health that disproportionately impacts on low income individuals. This is of particular significance to the Institute involved in the research project. The main project aimed to understand the indoor air quality features of the destination environments for a climate control and air-purification device and model the proposed design of the device in these environments. Purpose: To generate student projects that effectively inform tasks on a main project, and enable students to participate in the development of a solution to a problem that affects their community. Approach: This paper contains a reflection on the mapping of project requirements to learning outcomes of the project paper. Summary information on student performance is provided. The service outcome of student work is examined, and potential for the project to be adapted to meet service learning objectives is presented. Results: Student projects supported the objectives of the main project, but solutions tended to lack novelty. Mapping the main project's requirements to the student projects' learning outcomes occurred naturally. Students were able to participate in service to their community through the projects. Conclusions: Allowing students to contribute in a small way to more than one module of a project provided for a broader experience, and enhanced development of multiple skills, including soft-skills. Because the main project involved a service component, student projects may be adjusted in future to contain a service learning element.
A Bayesian neural network approach for probabilistic model updating using incomplete modal data

Finite element (FE) model updating is essential to improve the reliability of physical model‐based approaches in structural engineering applications. The surrogate model is considered an alternative to time‐consuming iterative FE analyses in performing the updating procedure. This paper presents a Bayesian neural network (BNN) as the surrogate model for probabilistic FE model updating using the measured modal data. The BNN involves high computational efficiency by introducing the approximate Gaussian inference of the posterior distribution. In practice, the modal data are usually incomplete because of the measurement noise and limited sensors. The developed BNN exploits the nonlinear relationship between the selected parameters and incomplete modal data. As opposed to the traditional surrogate‐based approach, the proposed framework uses the modal data as inputs and structural parameters to be updated as outputs. It enables uncertainty quantification of the estimated structural parameters efficiently. In particular, an adaptive sampling strategy is established to shrink the searching space of optimal updating parameters based on the truncated Gaussian distribution. Numerical examples are conducted to demonstrate the effectiveness of the presented approach. Then it is applied to the laboratory and experimental structures using the measured data. Results indicate that the proposed framework is accurate and efficient for parameter uncertainty quantification in structural model updating.
EVALUATION OF THE KNEE LAXITIES OF WRESTLERS

Anterior tibial displacements of 78 elite wrestlers (20.7±3.1 years of age), 49 of them wrestling in Greco-Roman and 29 in free style, having no history of serious knee injury were measured by KT1000 (MEDmetric, San Diego, California) arthrometer. The "support leg" was defined to be the lower extremity used for lifting up the opponent wrestler. All the tests revealed higher displacement values in support legs of all the wrestlers (p 0.05). The increased laxity of the support legs ie. , the knees sustaining chronic overloading, may have been indicating that there are degenerative changes of the ligamentous structures, especially of the anterior cruciate ligaments. Since many studies revealed the proofs of proprioceptive deficits in anterior cruciate deficient knees, possibly there may be an impairment of these functions in uninjured but looser knees. Although there is lack of certain information concerning this issue yet, it will be better to add proprioceptive exercises to the training programs to reduce the incidence of injuries. (Biol.Sport :25:361-369, 2008)
A Smartphone Application to Compute Soil Erosion based on the Revised Universal Soil Loss Equation (RUSLE)

Erosion negatively affects farming. It leads to a 50% decline in land productivity (Nellemann et al, 2009). In Africa, erosion generates significant yield reduction (Eswaran, Lal & Reich, 2001). The loss of 75 billion tons of soil per year represent a cost of US$400 billion. An acre of U.S. cropland loses 5 tons of soil per year (Briggs, 2020). Moreover, soil carried away is the source of respiratory illnesses and damages that amount to over $14 billion per year (Eswaran, Lal & Reich, 2001). Furthermore, erosion reduces soil water-holding capacity. The Revised Universal Soil Loss Equation (RUSLE) is the major tool to calculate erosion caused by rainfall erosivity; the resistance of the environment (including soil erodibility; topographical factor, plant cover, and farming techniques) and human techniques (erosion control practices in farming) (Roose, 1996). RUSLE is instrumental in keeping erosion within acceptable limits. This paper presents a new, and the first of its type, smartphone application developed to help farmers and stakeholders compute soil erosion at any location in the world using the RUSLE model. Such an application can help land users to have a more accurate perception about soil erosion and its negative impact.
Output Feedback Control of Uncertain Nonlinear Systems With Backlash Using Neural Networks

A general class of industrial motion control systems has the structure of a nonlinear dynamical system preceded by some nonlinearities in the actuator, either deadzone, backlash, saturation, etc. Due to the nonanalytic nature of the actuator nonlinearities and the fact that their exact nonlinear functions are unknown, such systems present a challenge for the control design engineer. A dynamic inversion compensation scheme is used for backlash. The compensator uses the output feedback technique with neural networks (NN) for inverting the backlash nonlinearity in the feedforward path. The technique provides a general procedure for using NN to determine the dynamic preinverse of an invertible dynamical system. A tuning algorithm is presented for the NN backlash compensator which yields a stable closed-loop system.
taX - a Flexible Tool for Low-Order Duct Acoustic Simulation in Time and Frequency Domain

Low order duct acoustic models are a powerful tool to predict and avoid aeroacoustic instabilities like whistling. Such instabilities are important in the development process of many applications as diverse as pipeline networks, mufflers or HVAC Systems. This paper presents a low order network duct acoustic simulation tool called taX, which takes advantage of the Matlab control system toolbox. The propagation of acoustic perturbations may be modeled by a set of linear, time invariant differential equations. By simplification to one dimensional propagation of acoustic waves, the acoustic system can be modeled by Green's functions describing the transmission of acoustic waves in a network of acoustic elements. The scattering of acoustic waves in each of the acoustic elements can be respresented by the scattering matrix, which is the Fourrier transformation of the Greentextquoterights function. We demonstrate that there exists an equivalence between the aeroacoustic models and system description and commonly used models of control sytem theory. Being aware of this analogy, we have the opportunity to leverage the power of control system theory and future developments in this field to solve duct acoustic problems. Our tool therefore takes advantage of efficient implementations given by the Matlab control system routines. Subsequently the tool will be applied to determine the acoustic stability of a simple acoustic network model comprising an area jump, two duct sections, and open ends. The acoustic models involved are analytically derived from first principles in continuous time. In order to demonstrate the versatility of the tool set, a bifurcation diagram for decreasing area ratios of the orifice is computed and discussed. Further we will show the seamless integration of discrete time models retrieved by system identification from random time series data in LES simulations. The identified model of an area jump is compared to the model retrieved from first principles, limitations of the analytical model are discussed. In order to do so, the eigenvalues of the discrete time system are transformed to match and therefore compare to the eigenvalues of the continuous time system.
Behavioural market power indices in a transmission-constrained electricity market

This study proposes new behavioural indices of market power (MP) in order to analyse bidding behaviour of units in a transmission-constrained electricity market. The indices calculate actual MP exercised by generators of the market. The proposed indices check whether a generator exerts an influence on the wholesale price and it is able to change the price at studied trading period. If the generator is capable of raising the wholesale price, the proposed indices calculate exact values for the generator's withholding. The first proposed index measures financial withholding exercised by marginal generators and the second one calculates physical withholding of players taking into account the impact of withdrawal of output on the wholesale price. The proposed indices are quantified for modified PJM 5-bus system and compared with the former behavioural indices to verify their accuracy. In addition, modified IEEE 30-bus system is considered to clarify the transparent applications of the indices for more complicated system.