Miracle-dz/UniFAR-FTUs huggingface dataset:
Predictive Analytics to improve Outcome-based Funding for the Public Universities in South Africa through Big Data

The development of the Fourth Industrial Revolution (4IR) brought many opportunities for organisations to improve their competitive advantage. Their way of running operational activities has changed, processes have moved towards digitization. The innovative stand makes organizations to generate voluminous data silently which add more potential to improve business value and decision making, universities being one of the areas that can gain valuable insights from this data. However, advanced analytics are required since this data is generated in high speed, high velocity, heterogeneous formats from different sources, which is where the emergence of the big data concept was coined. The paper aims to discover university big data sources, both structured and unstructured data with its substantial relevance to support decision making towards outcome-based funding through predictive analytics, factors that influence universities Outcome-based Funding and categories this factors into technology, organization, environment.
Stacked Substrate Integrated Waveguide Filter with Air-Holed Cavities

This paper presents a novel filter in substrate integrated waveguide (SIW) technology, based on stacked identical rectangular cavities, where the readjustment of the resonance frequency of the cavities is performed by using air holes in the center of the cavities. The coupling between two overlapped cavities is obtained by a slot in the common metal plane. The proposed topology leads to an easier fabrication of the filter, as the metal via holes are identical and aligned for all stacked cavities. To allow the connection with input/output coplanar waveguides, the use of SIW below cutoff is adopted, thus avoiding the need of blind vias. The design, the fabrication, and the experimental testing of a three-pole filter are presented to validate the proposed solution.
Systematic literature review of the smart city maturity model

While there has been an increasing number of studies on smart cities, there are still issues in assessment and governance of these cities. This study aims to analyze and provide insights into the research done in smart city maturity models by conducting a systemically review of related literature. The study discusses and analyzes 22 maturity frameworks from the peer-reviewed articles. The discussion also included the alignment of the smart city to the United Nations sustainable development goals. The analysis shows that there is an increased emphasis on the development of maturity models over the years 2011–2018 However, only 9 out of the 22 models were comprehensive, other models were focused on specific aspects such as citizens, data and IoT. In addition, 50% of the models from the literature included components related to technology but most of the models lacked assessment of the environmental aspects. This review indicates the need for a comprehensive smart cities' maturity model to assess the cities in their smartness transformation.
Packaged Floating-Ground RF Power GaN-HEMT

This paper presents a novel packaged RF power GaN-HEMT for floating-ground operation. A bondable single-layer capacitor is mounted in the package close to the transistor chip to provide the low inductance RF bypass to ground, i.e., the flange, while a third lead is connected to the transistor-chip source terminal and facilitates the connection of the floating DC and low frequency (LF) ground-supply. The performance of the transistor is evaluated by 3-port S-parameter and load-pull measurements. S-parameters show large impact on stability from the floating operation. At 40 V and 1.4 GHz the transistor delivers up to 51 W saturated output power, demonstrating similar performance as a standard transistor of the same size. The floating LF ground facilitates a modulation bandwidth of up to 300 MHz, making the floating-ground transistor an interesting candidate for, e.g., reverse-type envelope tracking topologies.
Machine Learning Methods for Abnormality Detection in Hard Disk Drive Assembly Process: Bi-LSTM, Wavelet-CNN and SVM

The research proposes methods to detect abnormality in assembly of a hard disk drive. Three machine learning techniques are employed to classify the drives from assembly process into good and bad class. A good class represent a drive that all components are properly installed while a bad class represent an abnormal drive that some components are missing or improperly installed. The voice coil motor current motor is measured and collected from physical drives in assembly line for using as training and testing data set. Since the amount of bad drives in hard disk drive assembly process are much smaller than the good drive which introduce the imbalance problem during training process, this paper also set the experiment of varying amount of training data set that can satisfy the training in practical hard disk drive assembly process. Bidirectional Long Short-Term Memory, Wavelet transform with Convolutional Neural Network and Support Vector Machine are chosen as proposed machine learning models to classify this task. The comparison between each technique is discussed.
Research on High-precision Time Distribution Mechanism of Multi-source Power Grid Based on MEC

The coordination of various terminals in the power grid requires time consistency. If there is an error in time synchronization, it will cause time misalignment and difficulties in grid data analysis. Due to the existence of massive terminals in the power grid, the existing time synchronization technology cannot be applied to the big data scenario for multi-source grid. Mobile Edge Computing (MEC) effectively combines Internet of Things (IoT) and mobile network technologies to achieve a more flexible time distribution mechanism and more accurate edge-side time synchronization accuracy. MEC and Precision Time Protocol(PTP) are applied to time distribution for the power grid in this paper. And a high-precision time distribution mechanism based on MEC for multi-source power grid is described in this paper. Simulation results show that the time synchronization accuracy can be improved by using MEC for time distribution.
A High Gain Ka-Band Asymmetrical GaAs Doherty Power Amplifier MMIC for 5G Applications

In this paper, a 3-stage, Ka-Band, asymmetrical Doherty Power Amplifier (DPA) MMIC using 0.15-$\mu$ m depletion mode (D-mode) Gallium Arsenide (GaAs) pHEMT is presented. In order to increase operation bandwidth, the quarter-wavelength ($\lambda$/4) transmission line behind main amplifier is eliminated and the output matching network is optimized for both back-off and peak efficiency. A 20-ohm Wilkinson power divider is used behind 1$^{st}$ stage so that the input impedance of the power divider can be easily transformed to the load impedance that the device at 1$^{st}$ stage must see. The fabricated DPA exhibits a measured output power of 27-27.5 dBm with a peak power added-efficiency (PAE) of 37%-39% in the frequency band of 27.25-29.75 GHz. The PAE at 6 dB and 7dB output power back-off are obtained as 25%-29% and 22%-28% respectively. Additionally, the large signal gain larger than 18 dB is obtained in the band of operation.
Towards a real-time system for the analysis of the euro area cyclical situation Statistical working papers

3 Towards a real-time system for the analysis of the euro area cyclical situation Abstract This paper describes the construction of a real-time monitoring system of the euro area economy by complementing official statistics by advanced statistical and econometric techniques. It also shows how it is possible to build up an effective cyclical early warning system for the euro area by extracting relevant cyclical signals from official statistics by means of linear and non-linear filtering techniques. The construction of both the real-time monitoring and the cyclical early warning system is described in a step by step approach and at each step the results of empirical applications, usually based on real-time simulations, are presented. Despite the fact that improvements are still needed, the proposed applications show that they provide a reliable picture of the current economic situation. They also provide policy makers with stable and non-misleading information about the current cyclical situation.
Ju n 20 14 QED Actions in Supercritical Fields

In the in-out formalism we advance a new method to represent the gamma function for QED actions in supercritical fields, which is complementary to the proper-time integral representation in Phys. Rev. D 78, 105013 (2008) and Phys. Rev. D 84, 065004 (2011). The new method directly yields the QED action in terms of the Hurwitz zeta function in a constant magnetic field and the complex QED action in a constant electric field. The complex action exactly gives the vacuum polarization and the vacuum persistence and thereby the pair-production rate in the electric field. The QED actions exhibit the electromagnetic duality.
Effects of Herbs and High-Intensity Exercise Training on Antioxidant Properties Regarding Weight Management and Exercise-Related Variables: A Review

It has been determined that high-intensity exercise training is associated with the production of oxidative stress factors leading to a reduction in the efficiency and physical functioning of rapid reaction forces. Conversely, high levels of physical activity and coping with oxidative stress factors (using supplements) are highly suggested for rapid reaction forces. Hence, the present study sought to examine the effects of plants and highintensity exercise on antioxidant properties associated with weight management and some related factors. The literature on this research was collected from the PubMed archive on January 31, 2019, and included the keywords, high-intensity exercise training, herb and overweight. To date, 15,000 articles have been published on the PubMed archive with the keyword 'herb', 4473 articles have been published concerning high-intensity exercise training, and 94 articles related to the present review article are categorized into two categories of complete and abstract texts. All the articles were classified according to the novelty before being examined. Rapid reaction forces need to increase physical activity in order to have better functions. Likewise, they use plants and herbal supplements owing to maintaining physical fitness, and counteract the effects of oxidative stress caused by high-intensity exercise. Consequently, a comprehensive and efficient research that would adequately indicate the side effects and the effectiveness of these plants had to be carried out. The use of herbs and supplements will depend on the purpose of the individuals, particularly rapid reaction forces. If the goal of these forces is to increase their vigilance as well as their reaction and to postpone fatigue in missions, Ginseng and caffeine are the best plants, and if they seek to maintain physical fitness and reduce body fat, green tea is the best option. Nutritional interventions and the use of supplements (antioxidant, herbal and physical activity enhancers) are effective ways of protecting rapid reaction forces against the effects of oxidative stress caused by high-intensity exercise and maintaining fitness. Remarkably, despite the positive effects of plants, the excessive consumption of these supplements induces certain side effects on the kidneys and stomach. Likewise, Sabzevari Rad et al Herbal Plants’ Effects in Rapid Reaction Forces 2 Herbal Medicines Journal. 2019; in press they should be used cautiously.
Association between Lipid Profile and Macro Metals Calcium and Magnesium

There is a large and rapidly growing body of literature on the importance of calcium and magnesium in biochemical and physiological processes. The objective of this study was to examine the relationship of serum lipid profile to the macro metals calcium and magnesium. Recent findings suggest that both calcium and magnesium play a vital role in many disease states notably in cardiovascular disease. Both calcium and magnesium intake is directly related to cardiovascular disorders. Magnesium acts as a mild calcium antagonist on vascular disease. Prospective studies involving both calcium and magnesium has given inconsistent results. This study done on 50 patients (25 males & females) attending cardiac clinic has shown good correlation between lipid profile and calcium and magnesium suggesting that along with the gold screening test of lipid profile in the diagnosis of cardio vascular disease (CVD), Calcium and magnesium should also be investigated to decide an appropriate supplementation therapy.
CONJUGALITY, PARENTHOOD AND SEPARATION: REPERCUSSIONA ON THE PARENT-CHILD RELATIONSHIP

Traditionally, the family begins with the story of two people that form a couple, the support for the raising of children. Throughout the life cycle, several transformations occur. Adolescence and the transition towards adulthood are developmental phases important to understand the changes in the parent-child relationship, in which many times separation has already happened. The purpose of this article is to discuss the repercussions of conjugality and separation on parenthood, analyzing, from the historical narrative of fathers and mothers, the parent-child relationship throughout life, and especially, during emerging adulthood. In a qualitative research, we interviewed men and women, fathers and mothers of 15to 26-year-old children, of the middle class of Rio de Janeiro. The interviewees were either married, divorced or remarried, and told stories of conjugality, parenthood and separation that affected and/or still affect the parent-child relationship. From the analysis of the 25 interviews, we concluded that both father and mother actively participate in the life of their children, yet in different ways. We noted the striking predominance of the mother and the specificity of the paternal presence, still poorly valued and understood, especially when the separation takes place.
A deep learning approach to bone segmentation in CT scans

This thesis proposes a deep learning approach to bone segmentation in abdominal CT scans. Segmentation is a common initial step in medical images analysis, often fundamental for computer-aided detection and diagnosis systems. The extraction of bones in CT scans is a challenging task, which if done manually by experts requires a time consuming process and that has not today a broadly recognized automatic solution. The method presented is based on a convolutional neural network, inspired by the U-Net and trained end-to-end, that performs a semantic segmentation of the data. The training dataset is made up of 21 abdominal CT scans, each one containing between 403 and 994 2D transversal images. Those images are in full resolution, 512x512 voxels, and each voxel is classified by the network into one of the following classes: background, femoral bones, hips, sacrum, sternum, spine and ribs. The output is therefore a bone mask where the bones are recognized and divided into six different classes. In the testing dataset, labeled by experts, the best model achieves a Dice coefficient as average of all bone classes of 0.93. This work demonstrates, to the best of my knowledge for the first time, the feasibility of automatic bone segmentation and classification for CT scans using a convolutional neural network.
Early indirect techniques for estimating the vocal tract area function

: Estimation of the vocal tract area function has been an interesting area of research for many decades due to its potential applications in speech coding, speech synthesis, speech recognition, and speech training. Earlier studies using acoustic tube models of the vocal tract showed that the speech spectrum could be estimated from the vocal tract area function. The inverse problem of obtaining the vocal tract area function from the speech spectrum was challenging due to the non-uniqueness of the solution as many area functions could produce the same spectrum. Some innovative and pioneering techniques were proposed to estimate the vocal tract area functions indirectly by using acoustic measurements. These techniques showed that reasonable vocal tract area functions could be obtained from the acoustic data alone and stimulated further research in this area. This paper provides a review of three early techniques for estimating the vocal tract area function: the technique using the acoustic impedance measurement at the lips, the technique using the impulse response measured at the lips, and the technique using linear prediction analysis of the speech signal, followed by a discussion of the applications and limitations of these techniques.
Aborto inducido en Cartagena, Colombia: estimación mediante la "Metodología de Complicaciones de Aborto Inducido"

Objetivo Estimar la incidencia de aborto inducido en un hospital de referencia y en la ciudad de Cartagena, Bolivar, Colombia. Metodos Estudio ecologico que uso la "Metodologia de Complicaciones de Aborto Inducido" (MCAI). Se usaron datos de la Clinica Maternidad Rafael Calvo (CMRC) para estimar las atenciones pos-aborto en la ciudad. A partir de esos datos y el modelo MCAI, se obtuvieron razones y tasas de la incidencia de aborto inducido en CMRC y en la ciudad de Cartagena. Resultados La razon estimada de abortos inducidos en la ciudad de Cartagena fue de 261/1 000 nacimientos en 2005, 244 en 2006, y 259 en 2007. La tasa estimada de abortos inducidos por 1 000 mujeres de 15-44 anos fue de 22 en 2005, 22 en 2006, y 21 en 2007. Conclusiones La tasa estimada es similar a la encontrada en la estimacion realizada en la poblacion colombiana con datos publicados previamente en 1989. Se recomiendan medidas de salud publica enfocadas a disminuir la presencia del embarazo no deseado.
Influence of the addition of chlorhexidine diacetate on bond strength of a high-viscosity glass ionomer cement to sound and artificial caries-affected dentin

INTRODUCTION: The aim of adding chlorhexidine (CHX) to glass ionomer cements (GIC) is to improve their antibacterial property, but it may interfere with their bond to dentin. OBJECTIVE: To evaluate the influence of adding chlorhexidine diacetate at different concentrations to a high-viscosity GIC on its bond to sound and artificial caries-affected dentin. MATERIAL AND METHOD: Eighty human third molars were used, on which an area of dentin was exposed on the occlusal surface. Half of the specimens were kept sound and the other half were subjected to artificially induced caries. CHX was mixed with GIC powder at 0.5%, 1% and 2% (w/w). GIC without CHX was used as control. On each dentin surface a specimen measuring 1 mm in diameter and 1 mm high was made. The samples were kept at 37 °C and 100% humidity for 24 hours and subject to microshear testing. The results were analyzed using Kruskal-Wallis and Mann Whitney tests (α=0.05). RESULT: There was no significant difference between bond strength of sound and caries-affected dentin (p>0.05). For both substrate conditions, groups GIC, GIC+0.5% CHX and GIC+1% CHX showed statistically similar bond strength (p>0.05), and higher than that of GIC+2% CHX (p<0.025). Cohesive and mixed failures were predominant in all groups. CONCLUSION: The addition of 0.5% and 1% chlorhexidine did not result in negative changes in the bond strength of GIC to caries-affected and sound dentin.
Do workers discriminate against their out-group employers? Evidence from an online platform economy

We study possible worker-to-employer discrimination manifested via social preferences in an online labor market. Specifically, we ask, do workers exhibit positive social preferences for an out-race employer relative to an otherwise-identical, own-race one? We run a well-powered, model-based experiment wherein we recruit 6,000 workers from Amazon's M-Turk platform for a real-effort task and randomly (and unobtrusively) reveal to them the racial identity of their non-fictitious employer. Strikingly, we find strong evidence of race-based altruism – white workers, even when they do not benefit personally, work relatively harder to generate more income for black employers. Self-declared white Republicans and Independents exhibit significantly more altruism relative to Democrats. Notably, the altruism does not seem to be driven by race-specific beliefs about the income status of the employers. Our results suggest the possibility that pro-social behavior of whites toward blacks, atypical in traditional labor markets, may emerge in the gig economy where associative (dis)taste is naturally muted due to limited social contact.
Treatment for adult HIV infection.

Substantial changes in the field of human immunodeficiency virus (HIV) treatment have occurred in the last 2 years prompting revision of the guidelines for antiretroviral management of adults with established HIV infection. The objective was to update recommendations for physicians who provide HIV care regarding when to start antiretroviral therapy what drugs to start with when to change drug regimens and what drug regimens to switch to after therapy fails. Evidence was identified and reviewed by a 16-member noncompensated panel of physicians with expertise in HIV-related basic science and clinical research antiretroviral therapy and HIV patient care. The panel was designed to have broad US and international representation for areas with adequate access to antiretroviral management. Evidence considered included published basic science clinical research and epidemiological data (identified by experts in the field or extracted through MEDLINE searches using terms relevant to antiretroviral therapy) and abstracts from HIV-oriented scientific conferences between July 2002 and May 2004. Data were reviewed to identify any information that might change previous guidelines. Based on panel discussion guidelines were drafted by a writing committee and discussed by the panel until consensus was reached. Four antiretroviral drugs recently have been made available and have broadened the options for initial and subsequent regimens. New data allow more definitive recommendations for specific drugs or regimens to include or avoid particularly with regard to initial therapy. Recommendations are rated according to 7 evidence categories ranging from I (data from prospective randomized clinical trials) to VII (expert opinion of the panel). Further insights into the roles of drug toxic effects drug resistance and pharmacological interactions have resulted in additional guidance for strategic approaches to antiretroviral management. (authors)
Capsulectomy without Capsulotomy for Treating Capsule Contractures

The increase in the utilization ofsilicone breast implants for reconstruction and cosmetic purposes) has led to a great deal ofdiscussion as to the possible complications resulting from their presence in the body. Some ofthe problems are related to the fibrous capsule (capsule contracture) and/or to the patient)s immunologic re­ sponse. The authors propose the utilization ofan easily approachable technique for changing or removing breast implants) by removingthe capsule and implant in one piece) the so-called ((capsulectomy without capsulotomy. » The objective of the study is to describe the procedure in detail) showing its advantages and risks and correlate data with the pertinent literature. Rev. Soc. Bras. Cir. Plast. Sao Paulo v.16 n.2 p. 37-48 mai/ago. 2001 37 . Revista da Sociedade Brasileira de Cirurgia Plastica