Miracle-dz/UniFAR-FTUs huggingface dataset:
Dual Attention and Element Recalibration Networks for Automatic Depression Level Prediction

Physiological studies have identified that facial dynamics can be considered as biomarkers to analyze depression severity. This paper accordingly develops a Dual Attention and Element Recalibration (DAER) network to extract facial changes to predict the depression level. In this model, we propose two blocks: a Dual Attention (DA) block and Element Recalibration (ER) block. The DA block uses the self-attention to investigate the dynamic changes in the representation sequence of a facial video segment. It further examines the influence of feature components of the representation sequence on depression level prediction through bilinear-attention. Moreover, to improve the representation ability of network, the ER block is used to obtain the global information to recalibrate each element of the tensor. Adopting this approach, for the depression level prediction task, we first divide the long-term video into fixed-length segments and use the trained ResNet50 to encode each frame to generate the representation sequences of video segments. Second, the representation sequences are input into DAER network to obtain the depression level scores. Finally, the average of these scores yields the prediction result corresponding to the long-term video. Experiments on publicly available AVEC 2013 and AVEC 2014 depression databases illustrate the effectiveness of our method.
Spironolactone Versus Oral Contraceptive Pills in the Treatment of Adolescent Polycystic Ovarian Syndrome: A Systematic Review

Polycystic ovarian syndrome (PCOS) is a multi-system endocrinopathy that affects women of reproductive age. Due to features that coincide with puberty, it frequently remains undiagnosed in adolescent females. The lack of evidence on management alternatives has resulted in significant variation in practice. This systematic review evaluated the therapeutic advantages and adverse effects of a regularly used therapy option, combined oral contraceptive pills (COC/OCP) with spironolactone (SP), a newer alternative that may be used alone or in conjunction with other drugs to treat adolescent PCOS. A literature search was conducted using PubMed, PubMed Central, Scopus, and Google Scholar. It was restricted to studies published in English between 2021 and 2011 that discussed the management of adolescent PCOS with COC, SP, or both. The systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 guidelines. Two reviewers independently examined the content of the included studies using appropriate quality assessment tools. Four meta-analyses, four randomized controlled trials (RCTs), and one traditional review were found to be eligible. After extensive analysis, we concluded that SP, alone or in combination, is far safer than COC. However, COC treats more PCOS-associated symptoms than SP, including acne and menstrual irregularities, while also providing contraceptive benefits. However, SP monotherapy is cardioprotective and therapeutic when combined with other drugs. Long-term COC use has been linked to an increased risk of venous thromboembolism, hypertension, dyslipidemia, low-density lipoprotein (LDL) elevation, dysglycemia, and cancer in women.
Analytical Evaluation of the Effect of Cross-Polarization-induced Crosstalk on the BER Performance of a PDM-QPSK Coherent Homodyne Optical Transmission System

Abstract An analytical approach is developed to find the effect of cross-polarization (XPol)-induced crosstalk on the bit error rate (BER) performance of a polarization division multiplex (PDM) quadrature phase shift keying (QPSK) optical transmission system with polarization diversity receiver. Analytical expression for the XPol-induced crosstalk and signal to crosstalk plus noise ratio (SCNR) are developed at the output of polarization diversity PDM-QPSK coherent optical homodyne receiver conditioned on a given value of mean misalignment angle. Considering Maxwellian distribution for the pdf of the misalignment angle, the average SCNR and average BER are derived. Results show that there is significant deterioration in the BER performance and power penalty due to XPol-induced crosstalk. Penalties in signal power are found to be 8.85 dB, 11.28 dB and 12.59 dB correspondingly for LO laser power of −10 dBm, −5 dBm and 0 dBm at a data rate of 100 Gbps, mean misalignment angle of 7.5 degree and BER of 10−9 compared to the signal power without crosstalk.
Analysis of shooting effectiveness and decision-making during shooting according to basket height modifications at the youth stage

The aim of the present study was to identify the effect of a basketball unit of work that modifies the height of the hoop on the shooting effectiveness, the shooting decision-making process, and the ball possessions ending with a shot. The study was a cuasiexperiment with control and experimental groups measured pre and post intervention. The basketball unit of work was composed of 10 lessons that were applied to a sample of 74 students (14 years old). Control group received the lessons with the regular height of the basket (3.05m) and the experimental group received the lessons with variations in the height of the basket according to each task. The evaluation task was a 3 vs. 3 game situation. The results showed that experimental group increased the number of shots, the shooting effectiveness, as well as the decision-making process related to shooting action. The results enhance the need to modify and adapt the basketball height to the tasks and exercises specificity, and then to improve the shooting efficiency and effectiveness.
Making Business Education Relevant: Using SAP to Support IS Education

To make the teaching of information systems and technology in business schools more relevant for today’s technology-enhanced business community, we joined the SAP University Alliance and have begun using their materials and exercises in all of our existing MIS courses and are using SAP in the fall 2012 term in a new course about enterprise-wide systems. Here we discuss the decision process for joining the SAP University Alliance, our proposal to fund this initiative, our implementation of the initiative, and the issues that we faced and face going forward.
Calibration of the metrological characteristics of photoplethysmographic multispectral device for diagnosis the peripheral blood circulation

This paper presents firstly-engineered photoplethysmographic multispectral device for diagnosis the peripheral blood circulation. The calculation of the main errors as: primary converter error, methodical error of measurement, setting of optical-electronic sensor error was carried out. Moreover the assessment of reliability of diagnosis the engineered device was conducted. Streszczenie. Artykuł prezentuje pierwsze rozwiązanie wielospektralnego urządzenia fotopletyzmograficzego do diagnostyki obwodowego przepływu krwi. Przeprowadzono obliczenia głównych błędów: podstawowego błędu przetwarzania, błędu metodyki pomiaru, ustalonego błędu przetwornika optoelektronicznego. Ponadto przeprowadzono ocenę niezawodności zaprojektowanego urządzenia. (Kalibracja metrologicznych charakterystyk wielospektralnego urządzenia fotopletyzmograficznego do diagnostyki obwodowego przepływu krwi).
Computer-Aided Diagnosis of Coal Workers’ Pneumoconiosis in Chest X-ray Radiographs Using Machine Learning: A Systematic Literature Review

Computer-aided diagnostic (CAD) systems can assist radiologists in detecting coal workers’ pneumoconiosis (CWP) in their chest X-rays. Early diagnosis of the CWP can significantly improve workers’ survival rate. The development of the CAD systems will reduce risk in the workplace and improve the quality of chest screening for CWP diseases. This systematic literature review (SLR) amis to categorise and summarise the feature extraction and detection approaches of computer-based analysis in CWP using chest X-ray radiographs (CXR). We conducted the SLR method through 11 databases that focus on science, engineering, medicine, health, and clinical studies. The proposed SLR identified and compared 40 articles from the last 5 decades, covering three main categories of computer-based CWP detection: classical handcrafted features-based image analysis, traditional machine learning, and deep learning-based methods. Limitations of this review and future improvement of the review are also discussed.
Impact of increased resolution on the representation of the Canary upwelling system in climate models

Abstract. We investigate the representation of the Canary upwelling system (CUS) in six global coupled climate models operated at high and standard resolution as part of the High Resolution Model Intercomparison Project (HighResMIP). The models' performance in reproducing the observed CUS is assessed in terms of various upwelling indices based on sea surface temperature (SST), wind stress, and sea surface height, focusing on the effect of increasing model spatial resolution. Our analysis shows that possible improvement in upwelling representation due to the increased spatial resolution depends on the subdomain of the CUS considered. Strikingly, along the Iberian Peninsula region, which is the northernmost part of the CUS, the models show lower skill at higher resolution compared to their corresponding lower-resolution version in both components for all the indices analyzed in this study. In contrast, over the southernmost part of the CUS, from the north of Morocco to the Senegalese coast, the high-ocean- and high-atmosphere-resolution models simulate a more realistic upwelling than the standard-resolution models, which largely differ from the range of observational estimates. These results suggest that increasing resolution is not a sufficient condition to obtain a systematic improvement in the simulation of the upwelling phenomena as represented by the indices considered here, and other model improvements notably in terms of the physical parameterizations may also play a role.
Forest–atmosphere exchange of reactive nitrogen in a remote region – Part II: Modeling annual budgets

Abstract. To monitor the effect of current nitrogen emissions and mitigation strategies, total (wet + dry) atmospheric nitrogen deposition to forests is commonly estimated using chemical transport models or canopy budget models in combination with throughfall measurements. Since flux measurements of reactive nitrogen (Nr) compounds are scarce, dry deposition process descriptions as well as the calculated flux estimates and annual budgets are subject to considerable uncertainties. In this study, we compared four different approaches to quantify annual dry deposition budgets of total reactive nitrogen (ΣNr) at a mixed forest site situated in the Bavarian Forest National Park, Germany. Dry deposition budgets were quantified based on (I) 2.5 years of eddy covariance flux measurements with the Total Reactive Atmospheric Nitrogen Converter (TRANC); (II) an in situ application of the bidirectional inferential flux model DEPAC (Deposition of Acidifying Compounds), here called DEPAC-1D; (III) a simulation with the chemical transport model LOTOS-EUROS (Long-Term Ozone Simulation – European Operational Smog) v2.0, using DEPAC as dry deposition module; and (IV) a canopy budget technique (CBT). Averaged annual ΣNr dry deposition estimates determined from TRANC measurements were 4.7 ± 0.2 and 4.3 ± 0.4 kg N ha−1 a−1, depending on the gap-filling approach. DEPAC-1D-modeled dry deposition, using concentrations and meteorological drivers measured at the site, was 5.8 ± 0.1 kg N ha−1 a−1. In comparison to TRANC fluxes, DEPAC-1D estimates were systematically higher during summer and in close agreement in winter. Modeled ΣNr deposition velocities (vd) of DEPAC-1D were found to increase with lower temperatures and higher relative humidity and in the presence of wet leaf surfaces, particularly from May to September. This observation was contrary to TRANC-observed fluxes. LOTOS-EUROS-modeled annual dry deposition was 6.5 ± 0.3 kg N ha−1 a−1 for the site-specific weighting of land-use classes within the site's grid cell. LOTOS-EUROS showed substantial discrepancies to measured ΣNr deposition during spring and autumn, which was related to an overestimation of ammonia (NH3) concentrations by a factor of 2 to 3 compared to measured values as a consequence of a mismatch between gridded input NH3 emissions and the site's actual (rather low) pollution climate. According to LOTOS-EUROS predictions, ammonia contributed most to modeled input ΣNr concentrations, whereas measurements showed NOx as the prevailing compound in ΣNr concentrations. Annual deposition estimates from measurements and modeling were in the range of minimum and maximum estimates determined from CBT being at 3.8 ± 0.5 and 6.7 ± 0.3 kg N ha−1 a−1, respectively. By adding locally measured wet-only deposition, we estimated an annual total nitrogen deposition input between 11.5 and 14.8 kg N ha−1 a−1, which is within the critical load ranges proposed for deciduous and coniferous forests.
Meta-Learning to Perform Bayesian Inference in a single Forward Propagation

Currently, it is hard to reap the beneﬁts of deep learning for Bayesian methods. We present Prior-Data Fitted Networks (PFNs) , a method that allows to employ large-scale machine learning techniques to approximate a large set of posteriors. The only requirement for PFNs is the ability to sample from a prior distribution over supervised learning tasks (or functions). The method repeatedly draws a task (or function) from this prior, draws a set of data points and their labels from it, masks one of the labels and learns to make probabilistic predictions for it based on the set-valued input of the rest of the data points. Presented with samples from a new supervised learning task as input, it can then make probabilistic predictions for arbitrary other data points in a single forward propagation, effectively having learned to perform Bayesian inference. We demonstrate that PFNs can near-perfectly mimic Gaussian processes and also enable efﬁcient Bayesian inference for intractable problems, with over 200-fold speedups in multiple setups compared to current methods. We obtain strong results in such diverse areas as Gaussian process regression and Bayesian neural networks, demonstrating the generality of PFNs.
HRT use in 2001 and 2004 in The Netherlands

Objective: Did the publication of the Women Health Initiative (WHI) trial in 2002 and the Million Women Study (MWS) in 2003 lead to changes in prescription rates of hormone replacement therapy (HRT). Therefore, we compare the prescribing of HRT in 2004 (after) with that of 2001 (before the publications) in The Netherlands. Method: Communitypharmacydispensingdatafromapopulationofapproximately500,000patientsinTheNetherlands.Women aged 40–74 years to whom at least one HRT prescription was dispensed in 2001 or 2004 were included. Annual prevalences of HRT in 2001 and 2004 and the percentage change (2004 versus 2001) were calculated for overall HRT (excluding vaginal products) and per HRT category (combined estrogens and progestagens, estrogens only, tibolon and vaginal preparations) and age category. Results: In 2001, 5.64% of the women aged 40–74 used HRT and this percentage declined to 2.39 in 2004. The use of vaginal products among these women did not change, 1.76% in 2001 and 1.65% in 2004. The percentage change was highest in the opposed HRT group (66% decrease) and in women aged 50–54 (64.4% decrease). In 2004, compared with 2001, the proportion of long-term users (>3 year) increased with 12.7%. Conclusions: In The Netherlands, after publication of the WHI study and the MWS the prescribing of HRT fell dramatically whereas the prescribing of vaginal products did not change. Future patterns of HRT use should be monitored to know whether this decrease will be sustained.
Miniaturized log periodic dipole array with complementary split‐ring resonators

This letter presents a study on antenna miniaturization and bandwidth enhancement of the log‐periodic dipole array (LPDA) with a novel structure of complementary split‐ring resonator (CSRR). The bandwidth of LPDA can be enhanced without enlarging its size, and the performance characteristics can be maintained. Characteristics including S parameter, directivity and gain are compared, and the advantages and application methodology of CSRRs are proposed. This design enhanced the bandwidth from 0.6‐1.8 GHz (3:1) to 0.4‐1.8GHz (4.5:1), or achieved a size reduction of up to 26.7%. © 2016 Wiley Periodicals, Inc. Microwave Opt Technol Lett 58:2217–2221, 2016
Multiperiod Portfolio of Energy Purchasing Strategies including Climate Scenarios

: Because electricity retailers must ensure that energy supply matches end-user demand, electricity that is not traded through bilateral contracts is typically traded in power exchanges which are subject to great price volatility. In Colombia, the spot price is a reﬂection of climate variability because approximately 70% of the country’s electricity is generated by large hydropower stations. In this study, we forecast 2018 (cid:48) s prices and calculated its corresponding purchase margins using the 2015 to 2017 bilateral contract prices for electricity plus power exchange price information and climate information. Our forecasts included climate uncertainty and evaluated two multi-period portfolio methods for deciding among three purchasing strategies: bilateral contracts in the regulated market, bilateral contracts in the non-regulated markets, and purchases in the power exchange. The results indicate that retailers should follow a middle course that is neither conservative nor risky. Creation of portfolios independent of the multi-period method can balance purchases through bilateral contracts and in the power exchange in a way that considers climatic uncertainty. This type of balanced portfolio could control medium-term risks of price volatility and result in good levels of purchase margins.
Analysis of Feedback Effect on the Neural Sources of P300 Component

The P300 event-related potentials (ERPs) has implicated in outcome evaluation and reward processing. It is controversial how reward processing affects the neural sources of P300. We try to investigate the effect of feedback on the neural sources of P300 component. Thirty healthy subjects were participated and their EEG signals were recorded by thirty channels through the start (30 minutes), feedback (60-90 minutes) and last (30 minutes) segments. We analyzed feedback segment where an equal number of audio and visual stimulus were applied to the participants to perform audio and visual recognition tasks. We punished participants for wrong answers where each wrong answer adds four more tests to this segment. The P300 component was extracted from the background EEG at all channels using the conventional time-locked synchronous grand averaging over all time frames and subjects. Next, two well-known source localization algorithms including standardize low resolution electromagnetic tomography (sLORETA) and shrinking sLORETA were applied to the P300 waveforms for estimating the activity of the P300 sources. Our finding show a significant increase in the activation of P300 sources in the feedback-locked compared to the stimulus-locked over right tempo-parieto-occipital areas (secondary association area) in visual recognition task, but difference of P300 sources is not significant in audio recognition task. The discrepancy between the audio and visual task confirms the hypothesis that our participants considered more probability of wrong answers in the audio task, but they respond to visual test with more confidence.
Impact de la décision de financement sur la performance de l'entreprise marocaine: Cas des sociétés cotées des secteurs Immobilier et Matériaux de Construction

In this communication, the authors examine the effects of capital structure on the financial performance of Moroccan companies operating in real estate and construction sectors in the context of pecking order theory. The communication suggests that choosing a method of financing, whether internal or external, debt or equity capital, long term or short term is likely to have different effects on financial performance. Prior to studying these effects, a performance measure should be determined. The study shows that long-term debt is negatively correlated to the financial performance of the company, short-term debt is positively correlated. Financing by issuing new shares does not seem to affect the performance of enterprise in any performance measure used. And ultimately self-financing has also a negative effect on the company's performance.
Theory of Catalytic Current at with Entrapped Mediator the Biocatalyst

A mathematical model of a biocatalyst electrode with entrapped mediator is presented. Differential equations describing the diffusion of the substrate and mediator coupled with the enzyme reaction in the immobilized enzyme layer adjacent to the electrode surface are numerically solved to simulate the dependence of the steady-state current, I, on the concentration of the substrate at the surface of the enzyme layer, ics, and on the concentration of the mediator entrapped in the enzyme layer, CM. The numerical solutions are expressed by Michaelis-Menten type equations with three parameters which characterize the I vs. acs and I'vs. CM curves. The diffusional resistance of a semipermeable membrane covering the enzyme layer on the electrode surface is also taken into consideration. The dependence of the current on the potential applied to the electrode, E, is also derived and the parameters characterizing the I vs. E curve are discussed.
Efficient Influential Researcher Selection

With the growth of research communities in different research domains, developing an ob-jective and reasonable way of selecting orga-nizers as well as members to serve on program committees has gained more importance. In order to improve the attraction of the research conferences, we hope to select some influential researchers to become organizers or serve on the program committee of research conferences. Based on this motivation, we propose to formalize the selection of influential researchers into a convex optimization problem based on real-world settings which aims at maximizing the total influence of the selected researchers with limitations on the number of selected researchers and the amount of price paid.