Miracle-dz/UniFAR-FTUs huggingface dataset:
Trans Fatty Acids Content in Whole-Day Diets Intended for Pregnant and Breastfeeding Women in Gynaecological and Obstetric Wards: Findings from the Study under the “Mum’s Diet” Pilot Program in Poland

Trans fatty acids (TFAs) have been proven to have an adverse effect on human health by interfering with n-3 long-chain polyunsaturated fatty acids (n-3 LC-PUFA) synthesis. LC-PUFA n-3 are necessary for the development and maturation of the nervous system and retina during the prenatal period and infancy. TFAs are not synthesized de novo in the human body. Their presence in body fluids arises from the diet. The aim of our study was to determine the content of TFAs in individual meals and in a whole-day hospital diet intended for pregnant and breastfeeding women. Samples were collected from six different hospitals in Poland which voluntarily applied to the “Mum’s Diet” Pilot Program. The content of fatty acids, including TFAs, was determined by gas chromatography coupled with mass spectrometry (GC-MS). The TFAs content in the whole-day hospital diets ranged from 3.86 to 8.37% of all fatty acids (% wt/wt). Food products served for elevenses and afternoon snacks contributed the highest amounts of TFAs. These mainly included dairy products containing TFAs of natural origins. The estimated average intake of TFAs with the hospital diet was 0.72 g/person/day (range: 0.34–1.16 g/person/day) and did not exceed the maximum level of 1% of dietary energy recommended by the World Health Organization.
Demonstration of Millimeter Wave 5G Setup Employing High-Gain Vivaldi Array

We present a 4 × 4 slot-coupled Vivaldi antenna (SCVA) array unit cell, which offers wide bandwidth and high gain (~23 dBi) at the millimeter wave (mmW) frequencies of 28 GHz and 38 GHz. A single SCVA element is first presented, which has a bandwidth of 25–40 GHz with an average gain of ~13 dBi at the frequencies of interest. This antenna element is then used to design a 1 × 4 linear SCVA array matched to a 50 Ω impedance via a modified Wilkinson power divider (WPD). Next, the 1 × 4 linear array is used to construct a 4 × 4 antenna array unit cell. The proposed 4 × 4 antenna array unit cell is fabricated, and the characteristics of its elements (i.e., the single SCVA, 1 × 4 linear array, and WPD) are thoroughly investigated. Further, the 4 × 4 array is tested for signal reception of various digital modulation formats at lab environment using high-speed digital signal oscilloscope. In particular, a 2.5 Gbps data rate is successfully transmitted achieving receiver sensitivity of −50 dBm at 2 × 10−3 bit error rate (BER) for 32 quadrature amplitude modulation (QAM) with a system baud rate of 500 MHz. The wide bandwidth and high gain along with the excellent performance of the proposed 4 × 4 antenna array unit cell makes it an excellent candidate for future 5G wireless communication applications.
Structural and Phylogenetic Analysis of SARS-CoV-2 Spike Glycoprotein from the Most Widespread Variants

The SARS-CoV-2 pandemic, reported for the first time at the end of 2019 in the city of Wuhan (China), has spread worldwide in three years; it lead to the infection of more than 500 million people and about six million dead. SARS-CoV-2 has proved to be very dangerous for human health. Therefore, several efforts have been made in studying this virus. In a short time, about one year, the mechanisms of SARS-CoV-2 infection and duplication and its physiological effect on human have been pointed out. Moreover, different vaccines against it have been developed and commercialized. To date, more than 11 billion doses have been inoculated all over the world. Since the beginning of the pandemic, SARS-CoV-2 has evolved; it has done so by accumulating mutations in the genome, generating new virus versions showing different characteristics, and which have replaced the pre-existing variants. In general, it has been observed that the new variants show an increased infectivity and cause milder symptoms. The latest isolated Omicron variants contain more than 50 mutations in the whole genome and show an infectivity 10-folds higher compared to the wild-type strain. Here, we analyse the SARS-CoV-2 variants from a phylogenetic point of view and hypothesize a future scenario for SARS-CoV-2, by following its evolution to date.
Divide to Attend: A Multiple Receptive Field Attention Module for Object Detection in Remote Sensing Images

The study of remote sensing image object detection has excellent research value in environmental protection and public safety. However, the performance of the detectors is unsatisfactory due to the large variability of object size and complex background noise in remote sensing images. Therefore, it is essential to improve the detection performance of the detectors. Inspired by the idea of “divide and conquer”, we proposed a Multiple Receptive Field Attention (MRFA) to solve these problems and which is a plug-and-play attention method. First, we use the method of multiple receptive field feature map generation to convert the input feature map into four feature maps with different receptive fields. In this way, the small, medium, large, and immense objects in the input feature maps are “seen” in these feature maps, respectively. Then, we used the multiple attention map fusion method to focus objects of different sizes separately, which can effectively suppress noise in the background of remote sensing images. Experiments on remote sensing object detection datasets DIOR and HRRSD demonstrate that the performance of our method is better than other state-of-the-art attention modules. At the same time, the experiments on remote sensing image semantic segmentation dataset WHDLD and classification dataset AID prove the generalization and superiority of our method.
WHY DO PRESCRIPTION DRUG PRICES INCREASE? STATE MEDICAID EXPANSION, EXECUTIVE COMPENSATION AND CORPORATE GOVERNANCE

We exploit a quasi-random shock, i.e., Medicaid expansion, to the demand on prescription drugs and examine its impact on drug prices conditional on manufacturing firms’ financial characteristics. We use this shock to study the role of executive compensation, board independence and corporate governance, in setting drug prices. We find suggestive evidence that drug prices increased in expansion states. We also find that stock option awards are associated with lower drug prices. This provides evidence for Ross (2004)’s magnification eﬀect that stock options may reduce the risk-taking of a CEO. Corporate governance appears to have a more complicated relationship with drug prices. This study addresses an underrepresented area in finance and provides a blueprint for researchers in finance to utilize a unique data set to answer research questions in finance and economics.
Review of literature on the finite-element solution of the equations of two-dimensional surface-water flow in the horizontal plane

Functions as a self-study guide for engineers and as a textbook for nonengineering students and engineering students, emphasizing generic forms of differential equations, applying approximate solution techniques to examples, and progressing to specific physical problems in modular, self-contained chapters that integrate into the text or can stand alone! This reference/text focuses on classical approximate solution techniques such as the finite difference method, the method of weighted residuals, and variation methods, culminating in an introduction to the finite element method (FEM). Discusses the general notion of approximate solutions and associated errors! With 1500 equations and more than 750 references, drawings, and tables, Introduction to Approximate Solution Techniques, Numerical Modeling, and Finite Element Methods: Describes the approximate solution of ordinary and partial differential equations using the finite difference method Covers the method of weighted residuals, including specific weighting and trial functions Considers variational methods Highlights all aspects associated with the formulation of finite element equations Outlines meshing of the solution domain, nodal specifications, solution of global equations, solution refinement, and assessment of results Containing appendices that present concise overviews of topics and serve as rudimentary tutorials for professionals and students without a background in computational mechanics, Introduction to Approximate Solution Techniques, Numerical Modeling, and Finite Element Methods is a blue-chip reference for civil, mechanical, structural, aerospace, and industrial engineers, and a practical text for upper-level undergraduate and graduate students studying approximate solution techniques and the FEM.
Combined neuraxial-general anesthesia in opsoclonus–myoclonus syndrome: A case report

Opsoclonus-myoclonus syndrome (OMS) is a very rare neurological disorder thought to be the result of autoimmune responses in the nervous system. The relationship between this disorder and anesthesia procedures has not been studied in detail. To our knowledge, there are only 4 case reports, none of them with epidural-general combined anesthesia. We present a 9-year-old female with OMS due to low-grade neuroblastoma, for 7 years, who underwent tumor remotion due to the large size. Intravenous induction was done with alfentanil, lidocaine, propofol and rocuronium and ropivacaine was administered via lumbar epidural catheter. Adding to the sparse anesthetic management information in OMS, we now show one more possible approach, that can be valuable in high-risk cases, where general anesthesia can be involved with higher risk for the patient.
Molecular detection of virulence and resistance markers in Escherichia coli and Staphylococcus aureus isolated from Nigerian currency

Potentially pathogenic bacteria are routinely linked with different currencies worldwide. Not much focus has been on the actual pathogenic potential of these bacteria. This is essential as the risk would depend on whether the bacteria associated with the currency is a commensal or pathogen. This study was therefore aimed at exploring the virulence potential of Escherichia coli and Staphylococcus aureus isolated from specific Nigerian currency denominations. Presumptive E. coli and S. aureus isolates were obtained from the samples and their identities confirmed genotypically. A total of seven virulence and resistance genes were tested for (aggR, eae, ast, van, cat, pvl, icaA). Three of these were E. coli virulence genes (aggR, eae, ast), two S. aureus virulence (pvl, icaA) and two S. aureus resistance (van, cat). Sixty presumptive E. coli and S. aureus (30 each) were isolated and purified. Of these, 9 (30%) were confirmed as E. coli following genotypic identification and 7 (23%) as S. aureus. An assessment of the virulence potential of E. coli showed 100% detection of the ast gene, 55.6% detection of aggR and 44.4% detection of eae. For S. aureus, a much lower frequency of test genes was found with rates of 41.7%, 16.7%, 16.7% and 8.3% for pvl, icaA, van and cat respectively. This study therefore reports a low frequency of S. aureus virulence genes. The E. coli strains however, rather than being innocuous carry virulence factors. Furthermore, some of these have a known association with mobile genetic elements and hence a capacity to transform harmless commensal strains to pathogens.
Earth's Isostatic and Dynamic Topography—A Critical Perspective

Earth's topography arises from the linear superposition of isostatic and dynamic contributions. The isostatic contribution reflects the distribution of thickness and density of the crust overlying a static, non‐convecting mantle. We argue that isostatic topography should be limited to the crust, thereby delimiting all sources for dynamic topography below the Moho. Dynamic topography is the component of the topography produced by normal stresses acting on the Moho that deflect the isostatic topography away from crustal isostatic equilibrium largely as a consequence of mantle flow dynamics. These normal stresses arise from pressure variations and vertical gradients of the radial flow in the convecting mantle. The best estimate of dynamic topography is from the residual topography, which is the difference between observed topography and crustal isostatic topography. Dynamic and residual topography are the same. It is clear that thermal anomalies horizontally advected by plate motions would not exist if the mantle were not convecting, therefore their contribution to topography is inherently dynamic in origin. The global integral of dynamic topography that encompasses all non‐crustal buoyancy sources is demonstrated to be equal to zero. It follows that mantle convection cannot change the mean radius or mean elevation of the Earth. Since changes in ocean basin volume driven by changes in mean depth of the oceans are inherently part of dynamic topography, thereby requiring that continental elevations must also change, such that the global integral of these perturbations must also be equal to zero. This constraint has important implications for global long‐term sea level and the stratigraphic record, among other features of the Earth system impacted by changes in Earth's dynamic topography.
Incorporating uncertainty from downscaled rainfall projections into climate resilience planning in U.S. cities

The planning, design, and maintenance of stormwater infrastructure must be informed by changing rainfall patterns due to climate change. However, there is little consensus on how future climate information should be used, or how uncertainties introduced by use of different methods and datasets should be characterized or managed. These uncertainties exacerbate existing challenges to using climate information on local or municipal scales. Here we analyze major cities in the U.S., 48 of which developed climate adaptation and resilience plans. Given the prevalence of depth duration frequency (DDF) curves for planning infrastructure for rainfall, we then assessed the underlying climate information used in these 48 plans to show how DDF curves used for resilience planning and the resulting outcomes can be affected by stakeholders’ methodological choices and datasets. For rainfall extremes, many resilience plans varied by trend detection method, data preprocessing steps, and size of study area, and all used only one of the available downscaled climate projection datasets. We evaluate the implications of uncertainties across five available climate datasets and show the level of climate resilience to extreme rainfall depends on the dataset selected for each city. We produce risk matrices for a broader set of 77 U.S. cities to highlight how local resilience strategies and decisions are sensitive to the climate projection dataset used in local adaptation plans. To help overcome barriers to using climate information, we provide an open dataset of future daily rainfall values for 2-, 5-, 10-, 25-, 50-, and 100 years annual recurrence intervals for 77 cities and compare resilience outcomes across available climate datasets that each city can use for comparison and for robust resilience planning. Because of uncertainty in climate projections, our results highlight the importance of no-regret and flexible resilience strategies that can be adjusted with new climate information.
Nanocellulose and PEDOT:PSS composites and their applications

Abstract The need for achieving sustainable technologies has encouraged research on renewable and biodegradable materials for novel products that are clean, green, and environmentally friendly. Nanocellulose (NC) has many attractive properties such as high mechanical strength and flexibility, large specific surface area, in addition to possessing good wet stability and resistance to tough chemical environments. NC has also been shown to easily integrate with other materials to form composites. By combining it with conductive and electroactive materials, many of the advantageous properties of NC can be transferred to the resulting composites. Conductive polymers, in particular poly(3,4-ethylenedioxythiophene:poly(styrene sulfonate) (PEDOT:PSS), have been successfully combined with cellulose derivatives where suspensions of NC particles and colloids of PEDOT:PSS are made to interact at a molecular level. Alternatively, different polymerization techniques have been used to coat the cellulose fibrils. When processed in liquid form, the resulting mixture can be used as a conductive ink. This review outlines the preparation of NC/PEDOT:PSS composites and their fabrication in the form of electronic nanopapers, filaments, and conductive aerogels. We also discuss the molecular interaction between NC and PEDOT:PSS and the factors that affect the bonding properties. Finally, we address their potential applications in energy storage and harvesting, sensors, actuators, and bioelectronics.
PresQ: Discovery of Multidimensional Equally-Distributed Dependencies via Quasi-Cliques on Hypergraphs

Cross-matching data stored on separate files is an everyday activity in the scientific domain. However, sometimes the relation between attributes may not be obvious. The discovery of foreign keys on relational databases is a similar problem. Thus techniques devised for this problem can be adapted. Nonetheless, when the data is numeric and subject to uncertainty, this adaptation is not trivial. This article first introduces the concept of Equally-Distributed Dependencies, which is similar to the Inclusion Dependencies from the relational domain. We describe a correspondence in order to bridge existing ideas. We then propose PresQ: a new algorithm based on the search of maximal quasi-cliques on hyper-graphs to make it more robust to the nature of uncertain numerical data. This algorithm has been tested on seven public datasets, showing promising results both in its capacity to find multidimensional equally-distributed sets of attributes and in run-time.
Offshore VSC-HVDC Networks : Impact on Transient Stability of AC Transmission Systems

The transition towards a sustainable society calls for the massive deployment of renewable energy sources such as large wind parks located far offshore. High-voltage direct current transmission based on voltage sourced converter technology (VSC-HVDC) offers a wide range of technological benefits that foster the grid integration of offshore wind parks. Coupling AC and HVDC grids comes with significant challenges. Control and system functions, which were formerly separated, interact, especially during faults in the transmission system. Classical (transient stability) modelling and simulation does not suffice and must be made ready for VSC-HVDC. This Ph.D. thesis answers two questions to master these challenges. First, what is the impact of the operation and control of a, possibly multi-terminal, offshore grid based on VSC-HVDC on the transient stability of the onshore power system? Second, how can we model and simulate these impacts while maintaining the desired simulation accuracy and speed? The results of this thesis facilitate fast and accurate assessment of stability impacts of large transmission systems with a significant proportion of converter-interfaced generation.
A Review of the 2008/2009 and 2018/2019 Cholera Outbreaks in Zimbabwe: Call for Public Health Action

Cholera is a diarrheal infectious disease that continues to cause morbidity and mortality in Zimbabwe. This study reviews the morbidity and mortality data of cholera in Zimbabwe during the 2008/2009 and 2018/2019 outbreaks, critically discussing the factors responsible for the outbreaks and then suggests recommendations for public health actions. The data used for this study was obtained from the National Health Information and Surveillance Unit under the Ministry of Health and Child Care, Zimbabwe, and other published literature. The 2008/2009 cholera outbreak represents the largest outbreak with a total of 98592 cases and 4288 deaths, Case Fatality Rate (CRF) 4.3%. The most recent outbreak occurred from September 2018 to March2019 where a total of 10730 cases and 69 deaths were recorded, (CRF 0.64%). The deterioration of the water and sewerage infrastructure in the country due to historically low or poor investment in this area together with the declining health infrastructure, and reduced health care staff are the main drivers of outbreaks. Improving these areas is critical for cholera elimination in the country.
Ear Biometrics Using Deep Learning: A Survey

This paper explores ear biometrics using a mixture of feature extraction techniques and classifies this feature vector using deep learning with convolutional neural network. This exploration of ear biometrics uses images from 2D facial profiles and facial images. The investigated feature techniques are Zernike Moments, local binary pattern, Gabor filter, and Haralick texture moments. The normalised feature vector is used to examine whether deep learning using convolutional neural network is better at identifying the ear than other commonly used machine learning techniques. The widely used machine learning techniques that were used to compare them are decision tree, naïve Bayes, K-nearest neighbors (KNN), and support vector machine (SVM). This paper proved that using a bag of feature techniques and the classification technique of deep learning using convolutional neural network was better than standard machine learning techniques. The result achieved by the deep learning using convolutional neural network was 92.00% average ear identification rate for both left and right ears.
Omega-3 Fatty Acids for the Management of Osteoarthritis: A Narrative Review

Osteoarthritis (OA) is a disease which results in degeneration of cartilage within joints and affects approximately 13.6% of adults over 20 years of age in Canada and the United States of America. OA is characterized by a state of low-grade inflammation which leads to a greater state of cellular catabolism disrupting the homeostasis of cartilage synthesis and degradation. Omega-3 polyunsaturated fatty acids (PUFAs) have been postulated as a potential therapeutic treatment option for individuals with OA. Omega-3 PUFAs are recognized for their anti-inflammatory properties, which could be beneficial in the context of OA to moderate pro-inflammatory markers and cartilage loss. The purpose of this narrative review is to outline recent pre-clinical and clinical evidence for the use of omega-3 in the management of OA.
Improving knowledge on genotoxicity dynamics in somatic and germ cells of crayfish (Procambarus clarkii)

The harmful effects of pesticides can be extended beyond the exposure time scale. Appraisals combining exposure and long‐term post‐exposure periods appear as an unavoidable approach in pesticide risk assessment, thus allowing a better understanding of the real impact of agrochemicals in non‐target organisms. This study aimed to evaluate the progression of genetic damage in somatic and germ tissues of the crayfish Procambarus clarkii, also seeking for gender‐specificities, following exposure (7 days) to penoxsulam (23 μg L−1) and a post‐exposure (70 days) period. The same approach was applied to the model genotoxicant ethyl methanesulfonate (EMS; 5 mg L−1) as a complementary mean to improve knowledge on genotoxicity dynamics (induction vs. recovery). Penoxsulam induced DNA damage in all tested tissues, disclosing tissue‐ and gender‐specificities, where females showed to be more vulnerable than males in the gills, while males demonstrated higher susceptibility in what concerns internal organs, that is, hepatopancreas and gonad. Crayfish were unable to recover from the DNA damage induced by EMS in gills and hepatopancreas (both genders) as well as in spermatozoa. The genotoxicity in the hepatopancreas was only perceptible in the post‐exposure period. Oxidative DNA lesions were identified in hepatopancreas and spermatozoa of EMS‐exposed crayfish. The spermatozoa proved to be the most vulnerable cell type. It became clear that the characterization of the genotoxic hazard of a given agent must integrate a complete set of information, addressing different types of DNA damage, tissue‐ and gender‐specificities, as well as a long‐term appraisal of temporal progression of damage.