Miracle-dz/UniFAR-FTUs huggingface dataset:
Dynamic performance evaluation of ultra-fast SiC MOSFET power module – a comprehensive approach

The article describes a comprehensive approach to dynamic performance determination tests of SiC MOSFET power modules. Experimental verification was performed using ultra-fast switching (1,2 kV, 495 A) module from Microsemi. The obtained results are compared to results acquired by measurements performed with compliance to a commonly-used standard that does not consider phenomena that significantly impact switching processes of fast-switching SiC MOSFET power modules.
An End-to-End Multi-Channel Convolutional Bi-LSTM Network for Automatic Sleep Stage Detection

Sleep stage detection from polysomnography (PSG) recordings is a widely used method of monitoring sleep quality. Despite significant progress in the development of machine-learning (ML)-based and deep-learning (DL)-based automatic sleep stage detection schemes focusing on single-channel PSG data, such as single-channel electroencephalogram (EEG), electrooculogram (EOG), and electromyogram (EMG), developing a standard model is still an active subject of research. Often, the use of a single source of information suffers from data inefficiency and data-skewed problems. Instead, a multi-channel input-based classifier can mitigate the aforementioned challenges and achieve better performance. However, it requires extensive computational resources to train the model, and, hence, a tradeoff between performance and computational resources cannot be ignored. In this article, we aim to introduce a multi-channel, more specifically a four-channel, convolutional bidirectional long short-term memory (Bi-LSTM) network that can effectively exploit spatiotemporal features of data collected from multiple channels of the PSG recording (e.g., EEG Fpz-Cz, EEG Pz-Oz, EOG, and EMG) for automatic sleep stage detection. First, a dual-channel convolutional Bi-LSTM network module has been designed and pre-trained utilizing data from every two distinct channels of the PSG recording. Subsequently, we have leveraged the concept of transfer learning circuitously and have fused two dual-channel convolutional Bi-LSTM network modules to detect sleep stages. In the dual-channel convolutional Bi-LSTM module, a two-layer convolutional neural network has been utilized to extract spatial features from two channels of the PSG recordings. These extracted spatial features are subsequently coupled and given as input at every level of the Bi-LSTM network to extract and learn rich temporal correlated features. Both Sleep EDF-20 and Sleep EDF-78 (expanded version of Sleep EDF-20) datasets are used in this study to evaluate the result. The model that includes an EEG Fpz-Cz + EOG module and an EEG Fpz-Cz + EMG module can classify sleep stage with the highest value of accuracy (ACC), Kappa (Kp), and F1 score (e.g., 91.44%, 0.89, and 88.69%, respectively) on the Sleep EDF-20 dataset. On the other hand, the model consisting of an EEG Fpz-Cz + EMG module and an EEG Pz-Oz + EOG module shows the best performance (e.g., the value of ACC, Kp, and F1 score are 90.21%, 0.86, and 87.02%, respectively) compared to other combinations for the Sleep EDF-78 dataset. In addition, a comparative study with respect to other existing literature has been provided and discussed in order to exhibit the efficacy of our proposed model.
Food Fingerprinting: LC-ESI-IM-QTOF-Based Identification of Blumeatin as a New Marker Metabolite for the Detection of Origanum majorana Admixtures to O. onites/vulgare

Oregano (Origanum vulgare and O. onites) is one of the most frequently counterfeited herbs in the world and is diluted with the leaves of a wide variety of plants. In addition to olive leaves, marjoram (O. majorana) is often used for this purpose in order to achieve a higher profit. However, apart from arbutin, no marker metabolites are known to reliably detect marjoram admixtures in oregano batches at low concentrations. In addition, arbutin is relatively widespread in the plant kingdom, which is why it is of great relevance to look for further marker metabolites in order to secure the analysis accordingly. Therefore, the aim of the present study was to use a metabolomics-based approach to identify additional marker metabolites with the aid of an ion mobility mass spectrometry instrument. The focus of the analysis was on the detection of non-polar metabolites, as this study was preceded by nuclear magnetic resonance spectroscopic investigations of the same samples based mainly on the detection of polar analytes. Using the MS-based approach, numerous marjoram specific features could be detected in admixtures of marjoram >10% in oregano. However, only one feature was detectable in admixtures of >5% marjoram. This feature was identified as blumeatin, which belongs to the class of flavonoid compounds. Initially, blumeatin was identified based on MS/MS spectra and collision cross section values using a database search. In addition, the identification of blumeatin was confirmed by a reference standard. Moreover, dried leaves of olive, myrtle, thyme, sage and peppermint, which are also known to be used to adulterate oregano, were measured. Blumeatin could not be detected in these plants, so this substance can be considered as an excellent marker compound for the detection of marjoram admixtures.
A Miniaturized Metasurface Based Dielectric Resonator Antenna for Wireless Communications

For wide bandwidth improvement in wireless communications, a compact dielectric resonator antenna (DRA) with meta surface loading on the top is proposed. The proposed antenna has MS as its top layer, DR as its central layer, an aperture-coupled ground plane, and micro strip line feeding as its bottom layer. Above the dielectric resonating antenna (DRA), a meta surface is loaded. An additional TM is obtained over the current TE mode as a result of the meta surface loading. As a result, the TEnl and TM modes broaden the bandwidth. HFSS is used to compute the analysis, while the Vector Network Analyzer device and anechoic chamber atmosphere are used for the actual measurements. For WLAN applications, the proposed DRA is employed. Low cross-polarization and an S11 feature below -10.00dB are two characteristics of the DRA, which resonates at a bandwidth of 9.9-13.2 GHz. The proposed antenna is simulated using the Simulator for High Frequency Structures (HFSS).
Work in Progress: Teaching in engineering education: investigating instructors' technology acceptance and teaching style at Kuwait University

Teaching in engineering often involves giving technical lectures in classrooms, meetings, and conferences with professors choosing which teaching strategy to employ. Instructors nowadays use PowerPoint or other instructional technology tools to aid them in the classroom. However, prior research reported that some professors might seem a little tenured to learning new methods and feel less competent to use instructional technology. Thus, the main goal of this paper is to explore the level of technology acceptance and the level at which current methods of teaching abide by multimedia's cognitive load among engineering instructors at Kuwait University. In order to address this objective, an electronic survey was sent to faculty members from the College of Engineering and Petroleum, Kuwait University. This research is one of the first to investigate teaching styles in Kuwait and can better inform methods to improve teaching in engineering education.
Ankle Sprains in Athletes: Current Epidemiological, Clinical and Imaging Trends

Purpose Ankle injuries are frequent sports injuries. Despite optimizing treatment strategies during recent years, the percentage of chronification following an ankle sprain remains high. The purpose of this review article is, to highlight current epidemiological, clinical and novel advanced cross-sectional imaging trends that may help to evaluate ankle sprain injuries. Methods Systematic PubMed literature research. Identification and review of studies (i) analyzing and describing ankle sprain and (ii) focusing on advanced cross-sectional imaging techniques at the ankle. Results The ankle is one of the most frequently injured body parts in sports. During the COVID-19 pandemic, there was a change in sporting behavior and sports injuries. Ankle sprains account for about 16–40% of the sports-related injuries. Novel cross-sectional imaging techniques, including Compressed Sensing MRI, 3D MRI, ankle MRI with traction or plantarflexion-supination, quantitative MRI, CT-like MRI, CT arthrography, weight-bearing cone beam CT, dual-energy CT, photon-counting CT, and projection-based metal artifact reduction CT may be introduced for detection and evaluation of specific pathologies after ankle injury. While simple ankle sprains are generally treated conservatively, unstable syndesmotic injuries may undergo stabilization using suture-button-fixation. Minced cartilage implantation is a novel cartilage repair technique for osteochondral defects at the ankle. Conclusion Applications and advantages of different cross-sectional imaging techniques at the ankle are highlighted. In a personalized approach, optimal imaging techniques may be chosen that best detect and delineate structural ankle injuries in athletes.
The effects of suction on the nonlinear stability of the three-dimensional boundary layer above a rotating disc

There exist two types of stationary instability of the flow over a rotating disc corresponding to the upper-branch, inviscid mode and the lower-branch mode, which has a triple deck structure, of the neutral stability curve. A theoretical investigation of the linear problem and an account of the weakly nonlinear properties of the lower branch-modes have been undertaken by P. Hall and S. MacKerrell respectively. Motivated by recent reports of experimental sightings of the lower-branch mode and an examination of the role of suction on the linear stability properties of the flow here we investigate the effects of suction on the nonlinear disturbance described by S. MacKerrell. The additional analysis required to incorporate suction is relatively straightforward and enables us to derive an amplitude equation which describes the evolution of the mode. For each value of the suction a threshold value of the disturbance amplitude is obtained; modes of size greater than this threshold grow without limit as they develop away from the point of neutral stability.
Degree Sum Conditions of Induced Matching Extendable Graphs

Say that a simple graph G is induced matching extendable, shortly IM extenable, if every induced matching of G is included in a perfect matching of G . Degree sum conditions of IM extendable graphs are researched. The main results are as follows: (1) Let G be a graph with 2n vertices. If for each pair of nonadjacent vertices u and v in G , d(u)+d(v)≥2[4n3]-1 , then G is IM extendable. (2) Let G be a claw free graph with 2n vertices. If for each pair of nonadjacent vertices u and v in G,d(u)+d(v)≥2n+3, then G is IM extendable. It is also shown that these results are best possible.
Climatic Control on Mean Annual Groundwater Evapotranspiration in a Three‐Stage Precipitation Partitioning Framework

A three‐stage precipitation partitioning framework is proposed to study the climate controls on mean annual groundwater evapotranspiration (GWET) for 33 gauged watersheds in west‐central Florida. Daily GWET, total evapotranspiration (ET), groundwater recharge, base flow, and total runoff are simulated by the Integrated Hydrologic Model, which dynamically couples a surface water model (HSPF) and a groundwater flow model (MODFLOW). The roles of GWET on long‐term water balance are quantified by four ratios. The ratios of GWET to total available water, watershed wetting, ET, and recharge decrease exponentially with watershed aridity index (WAI), which is defined as the ratio of potential evapotranspiration to total available water. In the one‐stage precipitation partitioning framework, the contribution of GWET to the ratio between total ET and available water for ET (i.e., the y‐axis of Budyko curve) decreases with WAI. In the two‐stage precipitation partitioning framework, the contribution of GWET to the ratio between total ET and watershed wetting (i.e., Horton index) decreases with WAI. The changes in GWET caused by intra‐monthly (IM) climate variability are the highest among the temporal scales of climate variability investigated to understand controls on GWET. The inter‐annual, intra‐annual, and IM climate variabilities lead to increase of GWET; but the sub‐daily climate variability results in decrease of GWET. For the third stage of partitioning, given the same ratio of potential GWET to available water for GWET, higher percentage of forest and wetland and lower percentage of impervious land contribute to higher ratio of GWET to available water for GWET.
Estimation of Hurst Exponent and Filtering Gaussian Effect on Fractional Brownian Motion

In this work, four different sets of data traffic have been generated from fractional brownian motion (fBm) to estimate true values of Hurst exponent boundaries in order to determine the degree of self-similarity in terms of long range dependence (LRD). One-dimensional multilevel wavelet decomposition and filtering algorithm is applied to filter fractional Gaussian noise (fGn) in the fBm generated. Autocorrelation function (ACF) and fast Fourier transform (FFT) energy spectrum is used to validate the result of the filtering effect. The result of the filtering process revealed that fGn in the fBm is de-noised successfully as the coefficient of ACF grow above zero and energy rate in the FFT- spectrum increases tremendously Keywords—fBm, ACF, FFT, LRD Hurst exponent and self-similarity.
Exposure to Disinfectants and Cleaning Products and Respiratory Health of Workers and Children in Daycares: The CRESPI Cohort Protocol

Although cleaning tasks are frequently performed in daycare, no study has focused on exposures in daycares in relation to respiratory health. The CRESPI cohort is an epidemiological study among workers (n~320) and children (n~540) attending daycares. The purpose is to examine the impact of daycare exposures to disinfectants and cleaning products (DCP) on the respiratory health of workers and children. A sample of 108 randomly selected daycares in the region of Paris has been visited to collect settled dust to analyze semi-volatile organic compounds and microbiota, as well as sample indoor air to analyze aldehydes and volatile organic compounds. Innovative tools (smartphone applications) are used to scan DCP barcodes in daycare and inform their use; a database then matches the barcodes with the products’ compositions. At baseline, workers/parents completed a standardized questionnaire, collecting information on DCP used at home, respiratory health, and potential confounders. Follow-up regarding children’s respiratory health (monthly report through a smartphone application and biannual questionnaires) is ongoing until the end of 2023. Associations between DCP exposures and the respiratory health of workers/children will be evaluated. By identifying specific environments or DCP substances associated with the adverse respiratory health of workers and children, this longitudinal study will contribute to the improvement of preventive measures.
Design and Analysis of Frequency Synthesizer for Implantable Cardioverter Defibrillator (ICD) in 90 NM Technology

This article briefs on a low power 450 MHz a PLL-based frequency synthesizer for implantable medical devices (IMD). The technological devices inserted into human bodies to monitor and conduct medical diagnosis. Regular monitoring of normal functionality of the bodily physiological signals, such as hypertension, temperature, electrocardiograms, etc., is necessary for medical diagnoses. The charge pump circuit’s current mismatching problem is resolved and the frequency synthesizer’s power consumption is reduced by using a voltage-controlled LC oscillator with current reuse (CRVCO) and the cascaded gm boosting approach. At an output frequency of 450 MHz, the designed frequency synthesizer uses 0.223 mW of power. According to the test results, a 1. 2V supply voltage (VDD) corresponds to 0.45 mW/GHz is the Figure-of-merit (FOM)power.
Risk Factors for Mortality in Patients With Cerebral Palsy: A Systematic Review and Meta-Analysis

Cerebral palsy (CP) is a developmental and physical disorder with different degrees of severity. Since CP manifests itself in early childhood, numerous research studies have concentrated on children with CP. Patients with CP encounter different severity of motor impairments attributed to the damage or disturbance to the fetal or infant developing brain, which begins in early childhood and persists through adulthood. Patients with CP are more prone to mortality compared to the general population. This systematic review and meta-analysis aimed to assess the risk factors that predict and influence mortality in patients with CP. Systematic search for studies assessing the risk factors for mortality in CP patients that were conducted from 2000 to 2023 in Google Scholar, PubMed, and Cochrane Library was performed. R-One Group Proportion was used for statistical analysis and Newcastle-Ottawa Quality Assessment Scale (NOS) for quality appraisal. Of the 1791 total database searches, nine studies were included. Based on the NOS tool for quality appraisal, seven studies were of moderate quality, and two studies were rated as of high quality. The risk factors included pneumonia and other respiratory infections, neurological disorders, circulatory diseases, gastrointestinal infections, and accidents. Pneumonia (OR = 0.40, 95% CI = 0.31 - 0.51), neurological disorders (OR = 0.11, 95% CI = 0.08 - 0.16), respiratory infections (OR = 0.36, 95% CI = 0.31 - 0.51), cardiovascular and circulatory diseases (OR = 0.11, 95% CI = 0.04 - 0.27), gastrointestinal and metabolic causes (OR = 0.12, 95% CI = 0.06 - 0.22), and accidents (OR = 0.05, 95% CI = 0.04 - 0.07) were the risk factors assessed. It was concluded that multiple factors predict the risk of mortality in patients with CP. Pneumonia and other respiratory infections are associated with a high risk of mortality. Cardiovascular and circulatory diseases, gastrointestinal and metabolic disorders, and accidents are strongly linked to mortality in CP patients.
Strategic Planning For Information Systems: A Survey Of Canadian Organizations

AbstractThis paper is an empirical study of what is being done in Canada with respect to strategic/longrange planning for information systems. It is based on the work of McLean and Soden, undertaken in the United States in the mid 1970s. The data were collected by means of a survey questionnaire mailed to a sample of MIS/EDP executives of large Canadian firms (those with over $10 million in annual revenue and more than 100 employees). Replies were received from 138 organizations, a 32.5 percent response rate.Less than half of the respondent organizations undertook strategic IS planning. We found this surprising given the substantial literature that stresses its importance. Among those who did plan, their behavior was reasonably consistent with that recommended in the literature, the findings of McLean and Soden, and what one would expect with a reasonable knowledge of organizational behavior. In general IS planning is done with an IS rather than a corporate perspective. As a case in point, 30 percent of t.
Research on feature extraction and classification of apples’near infrared spectra

NIR spectroscopy analysis method is applied to classify different kinds of apple samples.A new method of apple NIR spectra qualitative analysis based on uncorrelated discriminant transformation is presented.Three methods of feature extraction such as principal component analysis,Fisher discriminant analysis and uncorrelated discriminant transformation are used to extract feature from apple NIR spectra.By using K-nearest neighbour(KNN)three classification models are constructed for the classification recognition of apples.The models are verified by using the leave-one-out cross-validation.The results show that Uncorrelated Discriminant Transformation(UDT)model,comparing with Principal Component Analysis(PCA)model and Fisher Discriminant Analysis(FDA)model,has higher accuracy recognition rate.
An augmented mixed-primal finite element method for a coupled flow-transport problem

In this paper we analyze the coupling of a scalar nonlinear convection-diffusion problem with the Stokes equations where the viscosity depends on the distribution of the solution to the transport problem. An augmented variational approach for the fluid flow coupled with a primal formulation for the transport model is proposed. The resulting Galerkin scheme yields an augmented mixed-primal finite element method employing Raviart−Thomas spaces of order k for the Cauchy stress, and continuous piecewise polynomials of degree ≤ k + 1 for the velocity and also for the scalar field. The classical Schauder and Brouwer fixed point theorems are utilized to establish existence of solution of the continuous and discrete formulations, respectively. In turn, suitable estimates arising from the connection between a regularity assumption and the Sobolev embedding and Rellich−Kondrachov compactness theorems, are also employed in the continuous analysis. Then, sufficiently small data allow us to prove uniqueness and to derive optimal a priori error estimates. Finally, we report a few numerical tests confirming the predicted rates of convergence, and illustrating the performance of a linearized method based on Newton−Raphson iterations; and we apply the proposed framework in the simulation of thermal convection and sedimentation-consolidation processes.