Miracle-dz/UniFAR-FTUs huggingface dataset:
Beyond Making a Statement: An Intersectional Framing of the Power and Possibilities of Positioning

In this essay, two women of Color researchers examine the intersections of race and disability and ask, “What is the power and purpose of positioning and positionality statements? ” Informed by Black feminist theory, and drawing from the DisCrit tenets of intersectional oppressions, historicity, and whiteness and ability as property, the authors focus on researchers’ positioning in relation to how they engage and communicate knowledge about multiply marginalized people. Positionality statements, they argue, must be more than a listing of identities or a claim on authority through the naming of professional proximity to marginalized communities. Recognizing the increasing expectations for education scholars to articulate positionality in their scholarship, the authors offer a three-pronged intersectional framework, with provocations about the onto-epistemic, sociohistoric, and sociocultural elements of positioning. Education researchers interested in conveying how intersectional oppressions effect knowledge production will find this framework useful for crafting positionality statements that consider the multidimensional nature of power, oppression, and research in relation to their field, the literature, and multiply marginalized participants.
Ceftriaxone Administration Associated with Lithiasis in Children: Guilty or Not? A Systematic Review

Lithiasis is a known side effect of ceftriaxone administration in children. Sex, age, weight, dosage, and duration of intake have been reported as risk factors for the formation of calcification or stones in the bile and urine excretory systems of children who received ceftriaxone. The purpose of this systematic review is to investigate the reported effects of ceftriaxone administration in pediatric patients who were admitted to a hospital due to infection, the likelihood of gallstones, nephroliths, or precipitations in both the biliary and urinary systems, as well as investigate the relationship with their mother’s history during pregnancy. Original studies and literature reviews from the PubMed database were included in the study. No time limit related to research or publication was set for the articles. The results were evaluated, aiming to understand the outcomes and identify any predisposing factors relevant to this side effect. Of the 181 found articles, 33 were appropriate for inclusion in the systematic review. The administered dose of ceftriaxone presented variability. Symptoms, such as abdominal pain and vomiting, were associated with ceftriaxone-related lithiasis in many cases. It was noted that most of the results were the outcomes of retrospective observation and not of prospective randomized research. Definitively, more randomized control studies with long-term outcomes are needed to identify the exact association between ceftriaxone and lithiasis in children.
Equivalent Number of Bits of Major ADC Types Considering the Evaluation of Their Dynamic Error

Data on the equivalent (real) number of bits of an analog-to-digital converter (ADC), taking into account its operating conditions, makes it possible to make the optimal choice of ADC at the early stages of designing analog-to-digital control systems. The article shows that the real number of bits is determined by the signal delay times in the ADC and the time sampling frequency of the signals converted into the ADC, which depends on the cutoff frequency of the characteristic of the spectral density of the converted signal. The analysis carried out during the research made it possible to obtain specific dependences of the delay times of the converted signals in the ADCs under consideration. The article gives a comparative assessment of the influence of the time characteristics of three types of sequential ADCs (sequential count, push-pull integration, successive approximation) on the equivalent number of bits of the analog-to-digital conversion process.
A Tropical Squall Line Observed during the COPT 81 Experiment in West Africa. Part 1: Kinematic Structure Inferred from Dual-Doppler Radar Data

Abstract This paper deals with the analysis of a tropical squall line, observed on 22 June 1981 during the COPT 81 (Convection Profonde Tropicale) experiment. The present Part I is restricted to the study of the kinematic structure of the system, which moved in a moderately unstable atmosphere, faster than the environmental air at all levels. At the observation time, the squall line was in a mature stage. The explicit description of the airflow within the system was inferred from dual- and single-Doppler radar data. The general characteristics of the squall line are found to be very similar to those of tropical squall lines observed during previous experiments such as VHIMEX or GATE: a large cloud system composed of an organized convective line ahead of an extensive trailing anvil cloud (stratiform rain), fast motion and long-lasting structure and a well-marked gust front signature at ground level. The overall airflow presents a three-dimensional structure. At the leading edge, convective-scale updrafts a.
Non-Linear Sliding Mode Control of Three Phase AC-DC PWM Converters

A fast voltage control strategy of three phase AC-DC PWM converters applying a nonlinear sliding mode control technique is proposed in this report. Incorporating the power balance of the input and output sides in the modeling of the PWM converter, a nonlinear model is derived with state variable such as ac input current and dc output voltage. Then by input-output feedback Linearization, the system is linearized and a state feedback control law is obtained by a sliding mode control theory. With this control scheme, output voltage responses become faster than those than the responses found in a conventional cascade control structure like PI control.
Migração, seleção e diferenciais de rendimentos do trabalho em Pernambuco – 2000 / 2010

A migração do capital humano é amplamente estudada na literatura internacional e nacional. A busca por trabalho e/ou melhores condições de trabalho é um dos principais determinantes da dinâmica migratória da força de trabalho. Nestes aspectos, este artigo pretende analisar a hipótese de seleção positiva migratória nos fluxos intermunicipais no estado de Pernambuco. Recorre-se ao modelo de Heckman em dois estágios, com correção de viés de seleção amostral e a decomposição dos diferenciais de rendimentos do trabalho entre migrantes e não migrantes, a partir da construção de contrafactuais na equação de rendimentos. Os resultados mostram que o migrante intermunicipal pernambucano é positivamente selecionado. Ou seja, há características não observáveis que os tornam positivamente selecionados à migração. Além disso, as características socioeconômicas e demográficas dos migrantes afetam nos diferenciais de rendimentos dos migrantes intermunicipais do Estado. Outrossim, tanto as características observáveis quanto as não observáveis corroboram diferenciais de rendimentos em favor dos migrantes intermunicipais pernambucanos.
Preliminary Study: Micropropagation Using Five Types of Chelated Iron and the Subsequent Acclimation of Blue Honeysuckle (Lonicera caerulea var. kamtschatica Sevast.)

Blue honeysuckle (Lonicera caerulea var. kamtschatica Sevast.) is a valuable berry crop with a unique biochemical composition. It is rich in vitamins, minerals, and biologically active substances. Different species and cultivars of honeysuckle require different cultivation conditions in the field of accelerated reproduction in vitro. Taking into account the high clonal replication potential of the plant, we conducted research on the chelated-iron form’s influence on the micropropagation productivity of the blue honeysuckle “Lulia” cultivar at the multiplication, rooting, and subsequent acclimatization stages of microplants. In a preliminary study, five types of iron chelates were tested with carboxyl- and phosphorus-containing ligands: Fe(III)-EDTA, Fe(III)-DTPA, Fe(III)-EDDHA, Fe(III)-HEDP, and Fe(II)-HEDP. Each type of iron chelate was applied at four concentrations: standard, decreased by 2 times, and increased by 1.5 times and 2 times in the basic Murashige and Skoog (MS) nutrient medium. It was found that the blue honeysuckle “Lulia” had a selectivity to the type of iron chelate that was used. The nutrient-medium modifications with iron chelates, which caused the plant response, contributed to a significant improvement in the plant’s physiological status and increased its survival rate during the microplant’s acclimation to the nonsterile conditions stage. At the rooting stage, an increase in the rooting rate of up to 100% (Fe (III)-EDDHA), an increase in the number of shoots by 1.5–2 times, and an increase in the number of roots by 1.4–1.9 times were observed. The positive effect of the iron’s chelated forms was also observed at the acclimation stage. According to the results of the research, the most suitable iron forms for clonal micropropagation of blue honeysuckle were carboxyl-containing Fe(III)-EDDHA and phosphonate-containing Fe(II)-HEDP. Moreover, the effectiveness of both complexonates was confirmed in a wide concentration range: Fe(III)-EDDHA from (×1.0) to (×2.0), and Fe(II)-HEDP from (×0.5) up to (×1.5).
Experimental study on synergistic effects of reflectance and transmittance for near infrared spectroscopy

Usually, diffused reflectance or diffused transmittance has been collected respectively when performing the near-infrared spectroscopic measurements. However, glucose-relative spectral signal is quite weak due to the noises from the measuring system and the environment. Previous Monte-Carlo simulation results from our group showed that the spectral magnitude of both diffused reflectance and diffused transmittance can reach the same order. In this talk, it is our aim to further investigate the synergistic effect of diffused reflectance and diffused transmittance for Near Infrared spectral measurements. The diffused reflectance spectra and diffused transmittance spectra of human’s earlobe have been obtained simultaneously by home-made optical probes within the wavelength of 1100-1400nm. Two processing methods---Superposition Method and Division Method are introduced to demonstrate the synergistic effect of reflectance and transmittance. Both of the processing methods are performed on diffused reflectance and diffused transmittance in accordance with corresponding wavelengths. The results show that the combination of diffused reflectance and transmittance can effectively enhances the SNR by reducing the interference caused by individual differences and measuring environmental factors. Moreover, comparatively, the Division Method has a more distinguished effect.
An Unequal Filtering Power Divider Based on Integrated Substrate Gap Waveguide

In this paper, an ISGW filtering unequal power divider for millimeter wave band is proposed for the first time, which consists of an integrated substrate gap waveguide (ISGW) structure, an unequal power divider and a stepped impedance resonator. The unequal power distribution part uses a coupled line to achieve high output single-ended impedance, thereby achieving a high power division ratio of 6:1. The filtering part uses a combination of complementary split resonator rings and stepped impedance to achieve better broadband filtering performance. The simulation results show that the power divider has a relative bandwidth of 22.56%, four transmission zeros of 19.6GHz, 20.8GHz, 29.2GHz and 29.8GHz, and the power distribution ratio at the center frequency of 25GHz reaches 6:1.
Extrapolating Learning Curves of Deep Neural Networks

• Representative power increased by convex combination of individual models: • f x = wifi(x|θi) k i=1 + e with e ~ N 0, σ 2 and wi = 1 k i=1 • Model uncertainty captured by MCMC • The prior encoded monotonicity assumption of each of the models • We obtained S = 100000 samples from 100 parallel chains of length 1500 with a burn-in of 500 • Let ξ be the model’s parameters w1, . , wk , θ1, . , θk , σ 2 • Probability of improving over current best parameter setting:
A Note on Shrinkage Entropy Estimator for Mean of Exponential Distribution Considering Square Error Loss Function

The aim of the paper is to develop and investigate a new shrinkage estimator of the entropy function for mean of exponential distribution. A progressive type II censored sample and two shrinkage factors are considered to develop the shrinkage entropy estimator. Using squared error loss function (SELF), the risk and the relative risk functions are obtained for the proposed estimator. In terms of risk functions under SELF, the proposed entropy estimator is shown to be better than the existing entropy estimators for the distribution.
An Improved Algorithm for Template Matching with Circular Windows

The template matching algorithm of digital image is studied to improve the matching speed that is critical for the semiconductor packaging industry.The moment matching of circular windows is a fast algorithm,which divides the template into a series of circular ring and computes the moment of corresponding circular ring between template and source image to find the matching point. But the arithmetic product operation is needed to determine a pixel belonging to which circular ring,which consumes much time.For this reason,an improved algorithm by using a distance map before matching is proposed.The radius is stored in the distance map to record the distance between each pixel and the center of circular rings.Thus,simple comparison operation on the indexes of a pixel can determine a pixel belonging to which circular ring,which can save much time.Experiments show that the improved algorithm can improve the matching speed greatly and meet the needs of precision electronic packaging.
The differential effects of exchange rate fluctuations on local housing price growth: evidence from Australia

ABSTRACT We investigate whether real exchange rate fluctuations contribute to the fluctuations in housing prices differently across local housing markets through the differential compositions of immigrants. We first develop a new measure of the immigrant-weighted local real exchange rate, which varies across areas and over time within Australia. Using this measure and a fixed-effect instrumental variables approach, we find that the growth in local real exchange rate positively affects housing price growth. This positive relationship is mainly driven by urban metropolitan areas.
QoS-Aware Content Dissemination Based on Integrated Social and Physical Attributes Among Cellular and V2V Users

With the recent advancement in intelligent transportation systems (ITS), the vehicular network has become the major force in content dissemination, and it is essential to improve efficiency in content delivery and quality and service (QoS). The rapid growth in vehicular data traffic and limited resources in the vehicular network have created a bottleneck in content dissemination. In addition, the demand of high data rate, low latency and user's satisfaction on content make content dissemination more challenging. To address the above problem which involves vehicle to vehicle (V2V) peer discovery and resource allocation, we propose an efficient content dissemination scheme which integrates both social and physical attributes of the users. V2V users are paired to share content based on the similarity in their preferences and link reliability, while considering the QoS of vehicle to network (V2N) users in both uplink and downlink phases. Moreover, we present an improved matching algorithm for channel allocation, which maximizes the sum rate of V2V pairs weighted by the intensity of their social relationship. Simulation results demonstrate the performance of the proposed scheme in terms of weighted sum rate and user's satisfaction on content.
Differential Fairness: An Intersectional Framework for Fair AI

We propose definitions of fairness in machine learning and artificial intelligence systems that are informed by the framework of intersectionality, a critical lens from the legal, social science, and humanities literature which analyzes how interlocking systems of power and oppression affect individuals along overlapping dimensions including gender, race, sexual orientation, class, and disability. We show that our criteria behave sensibly for any subset of the set of protected attributes, and we prove economic, privacy, and generalization guarantees. Our theoretical results show that our criteria meaningfully operationalize AI fairness in terms of real-world harms, making the measurements interpretable in a manner analogous to differential privacy. We provide a simple learning algorithm using deterministic gradient methods, which respects our intersectional fairness criteria. The measurement of fairness becomes statistically challenging in the minibatch setting due to data sparsity, which increases rapidly in the number of protected attributes and in the values per protected attribute. To address this, we further develop a practical learning algorithm using stochastic gradient methods which incorporates stochastic estimation of the intersectional fairness criteria on minibatches to scale up to big data. Case studies on census data, the COMPAS criminal recidivism dataset, the HHP hospitalization data, and a loan application dataset from HMDA demonstrate the utility of our methods.
Relationship between Coma Recovery Scale-Revised and the Thalamocortical Tract of Ascending Reticular Activating System in Hypoxic–Ischemic Brain Injury: A Pilot Study

Background: This pilot study examined the relationship between the Coma Recovery Scale-Revised (CRS-R) and the five subparts of the thalamocortical tract in chronic patients with hypoxic–ischemic brain injury by diffusion tensor tractography (DTT). Methods: Seventeen consecutive chronic patients with hypoxic–ischemic brain injury were recruited. The consciousness state was evaluated using CRS-R. The five subparts of the thalamocortical tract (the prefrontal cortex, the premotor cortex, the primary motor cortex, the primary somatosensory cortex, and the posterior parietal cortex) were reconstructed using DTT. Fractional anisotropy and the tract volume of each subpart of the thalamocortical tract were estimated. Results: The CRS-R score showed a moderate positive correlation with the tract volume of the prefrontal cortex part of the thalamocortical tract (p < 0.05). In addition, the tract volume of the prefrontal cortex component of the thalamocortical tract could explain the variability in the CRS-R score (p < 0.05). Conclusion: The prefrontal cortex part was closely related to the CRS-R score in chronic patients with hypoxic–ischemic brain injury. In addition, the change in the remaining number of neural fibers of the prefrontal cortex part appeared to be related to the change in conscious state.
Comparison of Websites Employing Search Engine Optimization and Live Data

This study compares websites that take live data into account using search engine optimization (SEO). A series of steps called search engine optimization can help a website rank highly in search engine results. Static websites and dynamic websites are two different types of websites. Static websites must have the necessary expertise in programming compatible with SEO. Whereas in dynamic websites, one can utilize readily available plugins/modules. The fundamental issue of all website holders is the lower level of page rank, congestion, utilization, and exposure of the website on the search engine. Here, the authors have studied the live data of four websites as the real-time data would indicate how the SEO strategy may be applied to website page rank, page difficulty removal, and brand query, etc. It is also necessary to choose relevant keywords on any website. The right keyword might assist to increase the brand query while also lowering the page difficulty both on and off the page. In order to calculate Off-page SEO, On-page SEO, and SEO Difficulty, the authors examined live data in this study and chose four well-known Indian university and institute websites for this study: www.caluniv. ac.in, www.jnu. ac.in, www.iima. ac.in, and www.iitb. ac.in. Using live data and SEO, the authors estimated the Off-page SEO, On-page SEO, and SEO Difficulty. It has been shown that the Off-page SEO of www.caluniv. ac.in is lower than that of www.jnu. ac.in, www.iima. ac.in, and www.iitb. ac.in by 9%, 7%, and 7%, respectively. On-page SEO is, in comparison, 4%, 1%, and 1% more. Every university has continued to keep up its own brand query. Additionally, www.caluniv. ac.in has slightly less SEO Difficulty compared to other websites. The final computed results have been displayed and compared.
Evaluation of Fully Biodegradable PLA/PHB Blend Filled with Microcrystalline Celluloses

In this work, biodegradable biocomposites were developed using PLA/PHB blend as matrix and two types of microcrystalline cellulose as filler at three different contents. The biocomposites were evaluated regarding their thermal and morphological characteristics and molecular dynamic behavior. It was seen that cellulose addition did not promote significant changes in the Tm, Tc and Tcc in the matrix. On the other hand, XRD and TGA revealed that the addition of the highest content (7 wt%) of cellulose fillers resulted in a more significant decrease in crystallinity and thermal stability of the PLA/PHB matrix, suggesting a formation of filler aggregates. This indication was confirmed by TD-NMR, whose results pointed to a greater heterogeneity molecular in the samples containing higher cellulose contents. Therefore, this technique proved to be a relevant and complementary tool for the characterization of composites materials, contributing to determinate the most appropriate filler content introduced in a polymer matrix.
Non Line of Sight (NLoS) Path Loss Evaluation of Wi-SUN in an Urban Landscape

The scalability of remote Internet of Things (IoT) deployments into verticals of smart cities relies primarily on the communication protocols and data platforms employed. Accordingly, the adoption of LoRaWAN, Sigfox, NB-IoT, etc. has risen in recent years. These protocols have been created to cater to the low power and long range requirements of IoT. In this paper, we evaluate one such protocol, Wi-SUN (Wireless Smart Ubiquitous Network), that additionally offers excellent redundancy owing to its use of a mesh topology. Wi-SUN is based on the IEEE 802.15. 4g standard and uses license-free sub-GHz bands. However, IoT networks using any communication protocol require a knowledge of signal propagation and attenuation in real-world scenarios. Thus, we evaluated the path loss of Wi- SUN transmissions by analysing the RSSI values inside a typical city building and an urban outdoor habitat.
Fast Generation of RCS Data Based on Scattering Mechanism Analysis and infoGAN

The deep neural network can be used in fast generation of radar cross section (RCS) data. The training dataset is important in the construction deep neural network. To make sure that the deep neural network can learn the accurate relationship between a target's parameters and RCS data, the scattering mechanism is suggested to be considered in preparing the training dataset. In this work, we propose a new method to prepare the RCS training dataset based on scattering mechanism analysis. The geometric model of the target is split into several facets, and ray tracing method is applied on such model. Then the facets are correlated by the clustered rays and scattering field. The key geometric parameters in the target can be obtained by analyzing the related scattering mechanism which contributes the most to the RCS data. Based on the sweeping of these key paremeters, the RCS dataset can be constructed. Moreover, we use such dataset to train infoGAN. Numerical results validate such method.