Miracle-dz/UniFAR-FTUs huggingface dataset:
Detecção de Falhas em um Aplicativo Móvel Bancário

The internet has changed the way banks deliver services to customers. Due to the high number of digital accesses, interruptions in Information Systems cause great damage to the financial system. One of the strategies implemented to achieve a stable environment is the continuous monitoring of services, as described by ITIL. Given the above, this work proposes a failure detection approach through data mining techniques using the CRISP-DM reference model. The approach involves evaluating data extracted from a web analytics tool, in real time, to identify critical failures in a mobile banking application. The effects of different feature engineering techniques, such as variable filtering, data standardization and synthetic sample generation, were evaluated in 7 classification algorithms. Finally, the results were compared, and the support vector machine was the one that obtained the best result, with an F1-Score of 0.954 and a ROC-AUC of 0.989.
QUALITY ASSESSMENT OF THE TOFFEE WITH SWEETENERS AND DYE FROM WALNUT SEPTUM OR KERNEL’S PELLICLE

Reduction of “bad” carbohydrates in sweets is a complex issue, because carbohydrates provide important sensory, physical and textural properties of food. This research illustrated the possible use of the colorant Brown 7 (0.6.1.0%) in combination with sucralose and isomalt for alerting the functional quality of toffee candies. Sensory and physicochemical properties, microbiological indicators and color parameters were analyzed for four samples of toffee. The combination of sweetener with anti-crystallizer and Brown 7 significantly improves the color of toffees. It was established by HPLC that during thermal processing the Casuarictin from Brown 7 transforms into Ellagic acid. These transformations lead to an increase in the intensity of the brown color in the toffee. The addition of Brown 7 contributes to the decrease of titratable acidity from 0.28 ± 0.08 in the control to 0.21 ± 0.06 degrees of acidity in the sample which contain 1.0% dye. The chromatic parameters L*, a*, b* of the toffee sample with 0.6% Brown 7 content are the closest to the classic toffee parameters. Use of colorant in combination with sweetener illustrates a potential synergy of sensorial properties. This help to increase the intake of natural bioactive compounds and to decrease carbohydrates in sweets, promising health benefits.
Anthropogenic and Natural Influences on Record 2016 Marine Heat waves

In 2016 a quarter of the ocean surface experienced either the longest or most intense marine heatwave (Hobday et al. 2016) since satellite records began in 1982. Here we investigate two regions — Northern Australia (NA) and the Bering Sea/Gulf of Alaska (BSGA) — which, in 2016, experienced their most intense marine heat waves (MHWs) in the 35-year record. The NA event triggered mass bleaching of corals in the Great Barrier Reef (Hughes et al. 2017) while the BSGA event likely fed back on the atmosphere leading to modified rainfall and temperature patterns over North America, and it is feared it may lead to widespread species range shifts as was observed during the "Blob" marine heat wave which occurred immediately to the south over 2013–15 (Belles 2016; Cavole et al. 2016). Moreover, from a climate perspective it is interesting to take examples from climate zones with very different oceanographic characteristics (high-latitude and tropics). We demonstrate that these events were several times more likely due to human influences on the climate.
Effect of Pressure Conditions in Uterine Decellularization Using Hydrostatic Pressure on Structural Protein Preservation

Uterine regeneration using decellularization scaffolds provides a novel treatment for uterine factor infertility. Decellularized scaffolds require maximal removal of cellular components and minimal damage to the extracellular matrix (ECM). Among many decellularization methods, the hydrostatic pressure (HP) method stands out due to its low cytotoxicity and superior ECM preservation compared to the traditional detergent methods. Conventionally, 980 MPa was utilized in HP decellularization, including the first successful implementation of uterine decellularization previously reported by our team. However, structural protein denaturation caused by exceeding pressure led to a limited regeneration outcome in our previous research. This factor urged the study on the effects of pressure conditions in HP methods on decellularized scaffolds. The authors, therefore, fabricated a decellularized uterine scaffold at varying pressure conditions and evaluated the scaffold qualities from the perspective of cell removal and ECM preservation. The results show that by using lower decellularization pressure conditions of 250 MPa, uterine tissue can be decellularized with more preserved structural protein and mechanical properties, which is considered to be promising for decellularized uterine scaffold fabrication applications.
Resurgence and the Large $N$ Expansion

of the Dissertation Resurgence and the Large N Expansion by Ricardo Nuno Melo de Carmo Vaz Doctor of Philosophy in Physics Stony Brook University 2015 In this dissertation we focus on recent developments in the study of resurgence and the large N expansion. It is a well known fact that perturbative expansions, such as the large N expansion, are divergent asymptotic series. This is a signal that there are non-perturbative effects of the form e−N that also need to be considered, and our original perturbative series should be upgraded to one including powers of both 1/N and e−N , which is called a transseries. The machinery needed to tackle transseries was developed in the 1980s under the formalism of so-called resurgence. Using its tools we can derive a web of large-order relations showing how coefficients of the transseries, perturbative and non-perturbative, are connected to each other, and this is the origin of the term resurgence. This tells us that the perturbative part already “knows” all about the non-perturbative effects. Matrix models appear in multiple contexts in theoretical physics, and this was the arena chosen to test and understand the ideas of resurgence, particularly the matrix model with a quartic potential. We consider different phases of the quartic matrix model, with special focus on the two-cut phase, in order to test the predictions of resurgence and study their implications.
Vine copula constructions of higher-dimensional dependent reliability systems

ABSTRACT Copulas have proved to be very successful tools for the flexible modeling of dependence. Bivariate copulas have been deeply researched in recent years, while building higher-dimensional copulas is still recognized to be a difficult task. In this paper, we study the higher-dimensional dependent reliability systems using a type of decomposition called “vine,” by which a multivariate distribution can be decomposed into a cascade of bivariate copulas. Some equations of system reliability for parallel, series, and k-out-of-n systems are obtained and then decomposed based on C-vine and D-vine copulas. Finally, a shutdown system is considered to illustrate the results obtained in the paper.
NATURAL VARIABILITY NOT CLIMATE CHANGE DROVE THE RECORD WET WINTER IN SOUTHEAST AUSTRALIA

Introduction. In July–September 2016, southeast Australia suffered from record-breaking wet conditions (Fig. 27.1a). This three-month wet period featured several significant extratropical low pressure systems culminating in a major system crossing the region that resulted in a power blackout across South Australia. While this wet period had many negative consequences, including multiple flood events, it also provided much-needed rainfall for farmers in a region of Australia home to a large volume of the country’s food supply. The 2016 wet extreme is not part of a trend towards wetter conditions (Fig. 27.1a). The event was associated with large quantities of moisture being advected from the eastern Indian Ocean, a region that was experiencing well-above average sea surface temperatures (Fig. 27.1b). This moisture interacted with extratropical weather systems crossing the south of the country (Bureau of Meteorology 2017). There was lower surface pressure than normal over southeast Australia (Fig. 27.1c), reflecting an equatorward movement in the storm track, and the moisture content of the atmosphere was higher than normal (Fig. 27.1d) in July–September 2016. This study examines the roles of both human-induced climate change and natural climate variability in this event. The influences of these two factors on the circulation patterns conducive to unusually wet seasons and moisture availability are considered.
Health Behaviors of Albanian Students at the University of Medicine during the Coronavirus Disease 2019 Pandemic

Background: The coronavirus disease 2019 (COVID-19) pandemic has affected humanity in all life areas, particularly stress levels and mental health issues. Objectives: The present research aimed to explore the knowledge, stress level, social distancing, and mental health of the students at the University of Medicine in Albania during the COVID-19 pandemic. Methods: We conducted an anonymous online-based validated survey. We used the Perceived Stress Scale (PSS10) and the perception of COVID-19’s impact (PCI) on well-being. The study’s inclusion criteria included having access to the Internet and being a student at the University of Medicine in Tirana, Albania. We used the statistical package SPSS 26.0 in this study. To analyze numeric variables, we used descriptive statistics and the chi-square test to analyze cross-tabulations of the survey response data for categorical variables. Results: Out of 521 students participating in our study (median age = 20 (1.3) years), 484 (92.9%) were female, and 37 (7.1%) were male; 62.4% had an adequate understanding of the transmission ways of COVID-19 (P = 0.0002); 16.8% of the students reported that social distancing had a significant impact on their psychological status, while 6.33% reported a moderate impact, with a statistically significant difference between the two groups (P = 0.0001). Concerning the students’ approach to trusted sources of information during the COVID-19 pandemic, 85.4% reported that they trusted information from friends, 11.1% from the World Health Organization (WHO), and 2.1% from the government (P = 0.0001). We observed a positive correlation according to Pearson chi-square and the likelihood ratio tests between treatment for health problems and health risks of the COVID-19 pandemic (P = 0.0041); 4.4% of students have reported being treated for mental health issues during the COVID-19-related quarantine period (P = 0.0002). Conclusions: Future lockdown strategies should consider the detrimental effects on student mental health. Based on the findings of our study, the COVID-19 pandemic caused significant distress among students. Universities should also adopt a creative and supportive approach to encourage and tackle students’ mental health problems during a pandemic.
Stabilized backward in time explicit marching schemes in the numerical computation of ill-posed time-reversed hyperbolic/parabolic systems

ABSTRACT This paper develops stabilized explicit marching difference schemes that can successfully solve a significant but limited class of multidimensional, ill-posed, backward in time problems for coupled hyperbolic/parabolic systems associated with vibrating thermoelastic plates and coupled sound and heat flow. Stabilization is achieved by applying compensating smoothing operators at each time step, to quench the instability. Analysis of convergence is restricted to the transparent case of linear, autonomous, selfadjoint spatial differential operators, and almost best-possible error bounds are obtained for backward in time reconstruction in that class of problems. However, the actual computational schemes can be applied to more general problems, including examples with variable time dependent coefficients, as well as nonlinearities. The stabilized explicit schemes are unconditionally stable, marching forward or backward in time, but the smoothing operation at each step leads to a distortion away from the true solution. This is the stabilization penalty. It is shown that in many problems of interest, that distortion is small enough to allow for useful results. Backward in time continuation is illustrated using pixel images. Such images are associated with highly irregular non smooth intensity data that severely challenge ill-posed reconstruction procedures. Several computational experiments show that efficient FFT-synthesized smoothing operators, based on with real , can be successfully applied in a broad range of problems.
The effectiveness of anti-stigma interventions for reducing mental health stigma in young people: A systematic review and meta-analysis

Abstract Experiencing mental health stigma during adolescence can exacerbate mental health conditions, reduce quality of life and inhibit young people’s help-seeking for their mental health needs. For young people, education and contact have most often been viewed as suitable approaches for stigma reduction. However, evidence on the effectiveness of these anti-stigma interventions has not been consistent. This systematic review evaluated the effectiveness of interventions to reduce mental health stigma among youth aged 10–19 years. The review followed Cochrane and PRISMA guidelines. Eight databases were searched: PubMed, PsycINFO, MEDLINE, Web of Science, Scopus, EMBASE, British Education Index and CNKI. Hand searching from included studies was also conducted. Randomised controlled trials and experimental designs that included randomised allocation to interventions and control groups were included in the review. Narrative synthesis was employed to analyse the results. A meta-analysis was conducted to determine the effectiveness of included interventions. Twenty-two studies were included in the review. Eight studies reported positive effects, 11 studies found mixed effects and 3 studies reported no effect on indicators of mental health stigma among youth. Seven of the effective studies were education-based. Eleven studies were suitable for meta-analysis, and the multivariate meta-analytic model indicated a small, significant effect at post-intervention (d = .21, p < .001), but not at follow-up (d = .069, p = .347). Interventions to reduce stigma associated with mental health conditions showed small, short-term effects in young people. Education-based interventions showed relatively more significant effects than other types of interventions.
Evaluating the Performance of Pre-Trained Convolutional Neural Network for Audio Classification on Embedded Systems for Anomaly Detection in Smart Cities

Environmental Sound Recognition (ESR) plays a crucial role in smart cities by accurately categorizing audio using well-trained Machine Learning (ML) classifiers. This application is particularly valuable for cities that analyzed environmental sounds to gain insight and data. However, deploying deep learning (DL) models on resource-constrained embedded devices, such as Raspberry Pi (RPi) or Tensor Processing Units (TPUs), poses challenges. In this work, an evaluation of an existing pre-trained model for deployment on Raspberry Pi (RPi) and TPU platforms other than a laptop is proposed. We explored the impact of the retraining parameters and compared the sound classification performance across three datasets: ESC-10, BDLib, and Urban Sound. Our results demonstrate the effectiveness of the pre-trained model for transfer learning in embedded systems. On laptops, the accuracy rates reached 96.6% for ESC-10, 100% for BDLib, and 99% for Urban Sound. On RPi, the accuracy rates were 96.4% for ESC-10, 100% for BDLib, and 95.3% for Urban Sound, while on RPi with Coral TPU, the rates were 95.7% for ESC-10, 100% for BDLib and 95.4% for the Urban Sound. Utilizing pre-trained models reduces the computational requirements, enabling faster inference. Leveraging pre-trained models in embedded systems accelerates the development, deployment, and performance of various real-time applications.
Response Surface Models for the Elliott, Rothenberg, and Stock Unit-root Test

In this article, we present response surface coefficients for a large range of quantiles of the Elliott, Rothenberg, and Stock (1996, Econometrica 64: 813–836) unit-root tests, for different combinations of number of observations, T, and lag order in the test regressions, p, where the latter can either be specified by the user or be endogenously determined. The critical values depend on the method used to select the number of lags. We present the command ersur and illustrate its use with an empirical example that tests the validity of the expectations hypothesis of the term structure of interest rates.
FPGA Implementation of an Area Efficient Adaptive Edge based Bilinear Image Interpolation

Image interpolation is a significant task in various image processing applications. Bilinear image interpolation is one of the widely used techniques in many practical real time digital image scaling. The proposed algorithm is based on an efficient edge catching methodology. The proposed image scaling processor consists of a linear space-variant edge detector, combined filter and a simplified bilinear interpolation. The edge catching technique is used to improve the quality of image interpolation algorithm. The combined filter which acts as pre-filter to reduce the blurring effects produced by bilinear interpolation. This work proposes I model convolution kernel for combined filter to minimize the memory buffer consumption and the computing resources instead of using T-model and inversed T-model convolution kernels. The field programmable gate array (FPGA) implementation of this algorithm uses only 580 look up tables (LUTs) and it achieves highest peak signal to noise ratio (PSNR) as 37.02 by using combined filter with edge detector.
Individual Differences in Adolescents’ Civic Engagement: The Role of Civic Discussions with Parents and Environmental Sensitivity

The main goal of the current study was to examine the direct and moderating effects of civic discussions with parents and environmental sensitivity using both the total score and its specific dimensions (i.e., Aesthetic Sensitivity, AES; Ease of Excitation, EOE; Low Sensitivity Threshold, LST) on youth civic engagement (attitudes and behaviours). The empirical analysis relied on a questionnaire-based survey conducted on a sample of 438 adolescents (30% males), aged between 14 and 18 years (M = 16.50, SD = 1.36). We used a structural equation model (SEM) with latent variables and the latent moderated structural equation (LMS) method to test our hypotheses. Our results showed that civic discussions with parents were positively and significantly associated with general environmental sensitivity and with AES and predicted both civic attitudes and civic behaviours; EOE was negatively and significantly related to civic behaviours; AES was positively and significantly related to civic attitudes; and LST was not significantly related to either civic attitudes or behaviours. Contrary to our expectations, environmental sensitivity did not moderate the relationship between civic discussions with parents and civic engagement. Our study further highlights the relevance that parents have in shaping their children’s civic engagement and makes a novel contribution regarding how differences in perceiving and processing environmental stimuli can affect beliefs and behaviours toward community issues among young individuals.
Magnetic resonance-based imaging of human electric properties with phaseless contrast source inversion

Magnetic resonance imaging scanners can provide, by B1-mapping techniques, measurements of the transmit sensitivity magnitude, whereas the transmit sensitivity phase can only be approximated under symmetry assumptions of the coil and the sample. Nonetheless, up to now many techniques have been proposed to retrieve electric properties maps at radiofrequency by elaborating the complex transmit sensitivity. These techniques are usually referred to as magnetic resonance-based electric properties tomography. In order to perform imaging of the elecric properties also in cases which do not fulfill the assumptions for transmit sensitivity phase estimation, a variation of the phaseless contrast source inversion technique is proposed in this paper to retrieve the electric properties by elaborating only the magnitude of the transmit sensitivity. The novel technique is described in a generalised framework based on a functional viewpoint and it is specialised to deal with two-dimensional boundary-free problems. Moreover, a phaseless back propagation solution is proposed as initial guess. The proposed technique and initial guess have been tested on realistic two-dimensional model problems, which show that the numerical minimisation converges towards the global minimum when multiple linearly independent measurements are provided and that it is quite robust with respect to noisy inputs.
Isolation and Biological Activity of Iezoside and Iezoside B, SERCA Inhibitors from Floridian Marine Cyanobacteria

Marine cyanobacteria are a rich source of bioactive natural products. Here, we report the isolation and structure elucidation of the previously reported iezoside (1) and its C-31 O-demethyl analogue, iezoside B (2), from a cyanobacterial assemblage collected at Loggerhead Key in the Dry Tortugas, Florida. The two compounds have a unique skeleton comprised of a peptide, a polyketide and a modified sugar unit. The compounds were tested for cytotoxicity and effects on intracellular calcium. Both compounds exhibited cytotoxic activity with an IC50 of 1.5 and 3.0 μΜ, respectively, against A549 lung carcinoma epithelial cells and 1.0 and 2.4 μΜ against HeLa cervical cancer cells, respectively. In the same cell lines, compounds 1 and 2 show an increase in cytosolic calcium with approximate EC50 values of 0.3 and 0.6 μΜ in A549 cells and 0.1 and 0.5 μΜ, respectively, in HeLa cells, near the IC50 for cell viability, suggesting that the increase in cytosolic calcium is functionally related to the cytotoxicity of the compounds and consistent with their activity as SERCA (sarcoplasmic/endoplasmic reticulum Ca2+-ATPase) inhibitors. The structure–activity relationship provides evidence that structural changes in the sugar unit may be tolerated, and the activity is tunable. This finding has implications for future analogue synthesis and target interaction studies.
SYNTHETIC DATA GENERATION AND TESTING FOR THE SEMANTIC SEGMENTATION OF HERITAGE BUILDINGS

Abstract. Over the past decade, the use of machine learning and deep learning algorithms to support 3D semantic segmentation of point clouds has significantly increased, and their impressive results has led to the application of such algorithms for the semantic modeling of heritage buildings. Nevertheless, such applications still face several significant challenges, caused in particular by the high number of training data required during training, by the lack of specific data in the heritage building scenarios, and by the time-consuming operations to data collection and annotation. This paper aims to address these challenges by proposing a workflow for synthetic image data generation in heritage building scenarios. Specifically, the procedure allows for the generation of multiple rendered images from various viewpoints based on a 3D model of a building. Additionally, it enables the generation of per-pixel segmentation maps associated with these images. In the first part, the procedure is tested by generating a synthetic simulation of a real-world scenario using the case study of Spedale del Ceppo. In the second part, several experiments are conducted to assess the impact of synthetic data during training. Specifically, three neural network architectures are trained using the generated synthetic images, and their performance in predicting the corresponding real scenarios is evaluated.