Miracle-dz/UniFAR-FTUs huggingface dataset:
Characteristics and outcomes of diabetic patients infected by the SARS-CoV-2

Diabetes is considered a risk factor for complications due to COVID-19. In order to clarify this association, we are exploring the characteristics, the clinical signs, the outcomes and death in diabetic patients with COVID-19. In this retrospective observational study we are evaluating the demographic characteristics, the comorbidities of the patients, the clinical signs of the infection, the signs of clinical severity, the biological assessment at admission, the treatment, the outcomes and the deaths of 133 patients with COVID-19, of which 25 (19,4%) had diabetes. In the compared COVID-19 patients, with and without diabetes, the patients with diabetes were older, had higher blood pressure and more cardio-vascular diseases. Severe forms were more present in diabetic patients (56% versus 27.1%). Weight loss was higher in diabetic patients (6kg versus 3kg). Biologically, diabetic patients had higher levels of C-reactive protein (28 versus 5.8mg/l), procalcitonin (0.28 versus 0,13ng/l), ferritin (501 versus 140ng/ml), lactic dehydrogenase (268 versus 226IU/l) and of D. dimer (665 versus 444μg/l). Diabetic patients required more oxygen therapy (60% versus 26.9%), more mechanical ventilation (20% versus 8.3%) and more frequent admission to the intensive care unit (60% versus 27.8%). They presented more thromboembolic complications (12% versus 9%) but there were not significant differences in the other outcomes and in death rates. The excess of morbidity and mortality due to diabetes was still not fully clarified; the role of demographic factors, the interaction of mediations with ACE-2 receptors and the role of co-morbidities will all need to be studied in order to identify the patient at risk profile, i.e. who can develop severe forms of the diseases and more outcomes. The early identification of a possible hyper inflammation could be very valuable. More attention should be paid to patients with COVID-19 with diabetes because they are at a high risk of complications.
A NAND-SPIN-Based Magnetic ADC

This brief introduces a 3-bit magnetic analog-to-digital converter (MADC) employing the NAND-SPIN based multi-bit device which has the same structure as the NAND-SPIN memory cell. By adjusting the physical shape of the heavy metal (HM) line, the all-in-one integrated NAND-SPIN device exhibits multiple switching thresholds which could quantify the input current into several states and store them into the corresponding Magnetic Tunnel Junctions (MTJs). In order to read data reliably, a read port is connected to each Spin Orbit Torque (SOT) MTJs so as to minimize Tunnel Magnetoresistance (TMR) degradation due to non-uniform heavy metal resistance. In addition, an HM size adjustment methodology is proposed to improve the conversion accuracy and switching reliability. Detailed micromagnetic simulation results show that the proposed MADC could achieve 5 <inline-formula> <tex-math notation="LaTeX">$GHz$ </tex-math></inline-formula> sampling rate with only <inline-formula> <tex-math notation="LaTeX">$0.068~pJ$ </tex-math></inline-formula> conversion energy, and in-memory conversion for higher bit resolution while provides the benefit of nonvolatility.
Optimization of the Temperature Stability of Fluxgate Sensors for Space Applications

Fluxgate magnetometers are widely used in many places for the measurement of weak magnetic field, but are sensitive to variations of sensor temperature. Therefore, their stabilization against temperature variation is required especially for outdoor applications. In this work, temperature dependencies of fluxgate sensors having the cores of one homemade, one commercially obtained finemet alloy, and a commercially obtained supermalloy alloy in ribbon form were examined. It was observed that the heat treatments of the studied cores affect the sensitivity of the sensors in different ways. For instance, while the scale factor of the sensor with the core from in-house prepared finemet ribbon increased from 1.19 MV/T to 3.12 MV/T, the scale factor of the sensor with the supermalloy core increases by 20 times in magnitude (41.6 kV/T to 0.92 MV/T) after heat treatment. Our analysis performed in the temperature interval from −50 °C to +85 °C reveals that temperature dependencies of the sensors also show differences depending on the core material. In addition to differences seen on the temperature dependence of the studied cores, the most stable one was the sensor with the heat treated in-house prepared finemet core. The variation of the scale factor in the 135 °C temperature range was 9.8 %. However, by analyzing the temperature dependences of the scale factors we could decrease the error coming from temperature variations to less than 1.0 % in magnitude of the output signal due to the observed linear dependence between the scale factor and the temperature of this sensor.
Emotional Dysregulation Scale – Adults (EDEA): Validity evidence

Emotional self-regulation is necessary at various times in life; however, studies have indicated differences in the way men and women tend to express, contain, or change their emotions. These events are essential to be investigated in psychological instruments, since, when assessing this construct, an item could be endorsed by either sex, resulting in a biased conclusion. With this in mind, this study aimed to analyze the differential item functioning (DIF) of the Emotional Self-Regulation Scale – Adult (EARE-AD) for sadness, concerning the gender variable and the instrument’s distribution’s response categories. Due to the existence of DIF, neutralized items were prioritized, thus favoring less biased results. Based on this, in a second study, a reduced version of the scale (Emotional Dysregulation Scale – Adults – EDEA) with 15 items was proposed. We searched for validity evidence based on the internal structure for this new version.
Meiotic Double-Strand Break Formation in C. elegans

Author(s): Stamper, Ericca Lyn | Advisor(s): Dernburg, Abby | Abstract: For most eukaryotes, recombination between homologous chromosomes during meiosis is an essential aspect of sexual reproduction. Meiotic recombination is initiated by programmed double-strand breaks (DSBs) in the DNA, which have the potential to induce mutations if not efficiently repaired. The focus of the work presented here is to better understand the mechanisms that govern the initiation of recombination and regulate the formation of DSBs. The nematode Caenorhabditis elegans was used as a model system for these studies. Here I describe the identification of a novel gene, dsb-1, that is required for DSB formation in C. elegans. Through analysis of DSB-1 I illuminate two important regulatory pathways that control the initiation of meiotic recombination and regulate DSB number. The first regulatory pathway presented in this work is the crossover assurance checkpoint, which promotes crossover recombination events on all chromosome pairs to ensure successful meiosis. Under the crossover assurance checkpoint, DSB formation is prolonged when one or more homologous chromosome pair fails to form a crossover precursor. This increase in meiotic recombination initiation events gives cells additional opportunities to produce the crossovers necessary for proper chromosome segregation. I also present evidence for a separate regulatory pathway that functions to limit the number of DSBs. I describe a negative feedback loop that is mediated by DNA-damage response kinases ATM and ATR and acts though DSB-1 to down-regulate DSB formation. This regulatory pathway permits the formation of a limited number of meiotic DSBs, while preventing excess DSB levels. Furthermore, my results demonstrate the resilience of meiotic cells in tolerating excess levels of meiotic DSBs without negative consequences for genomic integrity or crossover regulation.The work presented here provides important insights into the regulation of meiotic recombination initiation. Although the regulatory pathways described here were identified in C. elegans, recent studies suggest that similar regulatory pathways are likely to be conserved in other organisms. Therefore this work is important not only for understanding DSB regulation in C. elegans, but may also shed light on the regulation of meiotic DSBs in other eukaryotic organisms.
DFOPS: Deep-Learning-Based Fingerprinting Outdoor Positioning Scheme in Hybrid Networks

Many Internet-of-Things (IoT) services rely on location information. This article proposes a deep learning-based fingerprinting outdoor positioning scheme ( $D_{\mathrm{ FOPS}}$ ) for use in scalable environments. The proposed scheme is a hierarchical combination of the support vector machine (SVM) and long short-term memory (LSTM) algorithms. It was applied in a large-scale wireless environment with multiple wireless local area networks (WLANs) and cellular base stations. The results show that the positioning error of the proposed scheme is 42 cm, and the computation time is reduced by 63% compared with conventional methods. Thus, the proposed system can provide promising and reasonable support location-aware services for IoT devices in large-scale wireless environments.
Industrial Robots, Workers' Safety, and Health

This study explores the relationship between the adoption of industrial robots and workplace injuries using data from the United States (US) and Germany. Our empirical analyses, based on establishment-level data for the US, suggest that a one standard deviation increase in robot exposure reduces work-related injuries by approximately 16%. These results are driven by manufacturing firms (-28%), while we detect no impact on sectors that were less exposed to industrial robots. We also show that the US counties that are more exposed to robot penetration experience a significant increase in drug- or alcohol-related deaths and mental health problems, consistent with the extant evidence of negative effects on labor market outcomes in the US. Employing individual longitudinal data from Germany, we exploit within-individual changes in robot exposure and document similar effects on job physical intensity (-4%) and disability (-5%), but no evidence of significant effects on mental health and work and life satisfaction, consistent with the lack of significant impacts of robot penetration on labor market outcomes in Germany.
Strain gauge properties of Pd+-ion-implanted polymer

Pd+ ions (90 keV) were implanted at normal incidence and at room temperature in different highly insulating (>200 GΩ) thermoplastic polymers (poly(methyl methacrylate), polypropylene, polyethylene terephthalate glycol-modified, and polycarbonate). At high fluence and optimized process parameters, the ion implantation gives rise to the formation of a nanocomposite thin surface layer constituted by Pd nanoclusters and carbonaceous material (nanographite/amorphous carbon). The morphological, microstructural, and microanalytical properties of the nanocomposite layers were investigated by He-ion microscopy, glancing incidence X-ray diffraction, and Raman scattering, respectively. The electrical properties were characterized by resistance, van der Pauw, and Hall measurements. We performed accurate simultaneous deformation/bending experiments and electrical resistance measurements. We show that the electrical resistance varies linearly with the mechanical deformation (beam deflection) applied. The experimental results are interpreted by “hopping conductivity” model considering the nanostructure configuration of the nanocomposite layers. A gauge factor in the range between 4 and 8, depending on the ion-implanted polymer, was obtained for prototype strain gauge devices.
Effect of Foliar Application of Micronutrients on Growth and Flowering of Floribunda Rose under Open Condition

Rose var. Mirabalis, belongs to the floribunda group which is stiff shrub, smaller and bushier than the average hybrid tea but less dense and sprawling than the average polyantha. Flowers are red in color known for producing better shaped flowers in cluster for a longer period. International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 7 Number 10 (2018) Journal homepage: http://www.ijcmas. com
Error analysis for space and time discretizations of quasilinear wave-type equations

This thesis provides a unified framework for the error analysis for space and time discretizations of a quite general class of quasilinear wave-type problems. For the space discretization we prove a rigorous error estimate based on semigroup theory for nonautonomous problems. Compared to previous results, which are mostly based on Banach’s fixed-point theorem, this approach allows for a better insight into the individual error contributions. Furthermore, since wellposedness results for quasilinear wave-type problems are in general based on severe regularity assumptions with respect to the boundary of the domain, we consider nonconforming space discretizations in order to allow for domain approximation. Furthermore, we provide a rigorous error analysis for the full discretization with three different one-step time-integration schemes. On the one hand, we consider the implicit midpoint rule and a linearized version thereof. On the other hand, we also investigate the leapfrog scheme, which is an explicit scheme. Throughout this thesis, we illustrate the relevance of the abstract framework by application of our results to the undamped Westervelt equation and the Maxwell equations with Kerr nonlinearity. Finally, we conclude with numerical examples.
The position of NewConnect against the Alternative Markets of European countries. The impact of GDP on volatility in the indices and turnover value

Abstract Aim/purpose – The aim of the paper is to compare and create a ranking of alternative trading systems and to investigate if there is a relationship between Gross Domestic Product (GDP) and stock indices of those markets and correlation between GDP and turnover value. Design/methodology/approach – The paper presents a comparative analysis of 13 European trading systems in such categories as: capitalisation, value of share trading, number of listed companies, number of new companies and companies removed from the market between the years 2016 and 2018. In addition, the paper includes a ranking of alternative trading systems in Europe which was created on the basis of the variables mentioned. The paper examines the correlation between GDP and indices of alternative trading systems and also between GDP and turnover value. Pearson’s correlation coefficient was used to examine the correlation. Findings – The ranking shows that the 1st place was taken by the British AIM market, which turned out to be the best in all categories under the comparison, the next two positions were occupied by the markets whose characteristic feature is that they cover several countries of the western Europe; these are the markets of First North and Alternext. The Polish market was at a fairly high 5th position among the 13 compared markets. The Greek and Russian markets came last. The relationship between the impact of GDP and index value as well as GDP and turnover value has also been examined. The research regarding the first aspect of the study confirmed the hypothesis about the correlation of GDP with the index. However, in the second case of the GDP and turnover value there is a very weak correlation. Research implications/limitations – The limitation in the correlation study was the difficulty in obtaining data for all 13 alternative trading systems taken for the study, thus comparing four markets in the GDP correlation and the value of the index and three markets in the relation GDP and turnover value. Originality/value/contribution – The added value of the paper is the ranking of alternative trading systems and study of correlations between Gross Domestic Product and stock indices of Alternative Trading Systems and turnover value of these markets.
The Impact of Human Resource Development on Public Employee Performance in Ethiopia: The Case of Konso District

Public organizations in Ethiopia are investing a massive amount of resources for the purpose of enhancing the knowledge, skills, and behavior of their employees. However, public managers lack knowledge regarding the actual impact of human resource development on the performance of employees. The main purpose of this article is to analyze the effect of training and development on the performance of public employees at the local level. This article employed a mixed research approach and estimated the impact by using simple regression model. Data were collected from 250 employees drawn from sixteen public organizations. The article finds that despite poor achievements in the areas of training need assessment, administration, and evaluation, training and development has a significant positive impact on the performance of employees. It is recommended that public managers should make training and development their top priority responsibility and create supportive and collaborative environment for such initiatives. Keywords: Training and Development, Public organizations, Employee Performance, Impact, Konso, Ethiopia DOI: 10.7176/JRDM/69-04 Publication date: September 30 th 2020
Evidence of X‐mode heating suppressing O‐mode heating

In this study, we present three experiments carried out at the EISCAT (European Incoherent Scatter Scientific Association) heating facility on October 29 and 30, 2015. The results from the first experiment showed overshoot during the O‐mode heating period. The second experiment, which used cold‐start X‐mode heating, showed the generation of parametric decay instability, whereas overshoot was not observed. The third experiment used power‐stepped X‐mode heating with noticeable O‐mode wave leakage. Parametric decay instability and oscillating two‐stream instability were generated at the O‐mode reflection height without the overshoot effect, which implies suppression of the thermal parametric instability with X‐mode heating. We propose that the electron temperature increased because X‐mode heating below the upper hybrid height decreased the growth rate of the thermal parametric instability.
Effect of glyphosate on hematological and biochemical parameters of Rabbit (Oryctolagus cuniculus)

To improve agriculture, herbicides are extensively used all over the world. In this study toxicity of glyphosate was assessed on rabbits. For this reason, 36 female rabbits were divided into four groups including treated and control having 9 rabbits in each. Three concentrations of glyphosate were selected as BC1 (50mg/kg/bw), BC2 (100mg/kg/bw) and BC3 (150mg/kg/bw) for treated groups and no any treatment for the control group C. For checking the herbicide effects hematological parameters including white blood cells (WBC), red blood cells (RBC), hemoglobin, hematocrit (HCT), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC), and platelets and biochemical parameters including bilirubin, alanine aminotransferase (ALT), aspartate aminotransferase (AST), alkaline phosphatase, urea and creatinine were selected. The rabbits were exposed to glyphosate and effect of glyphosate was studied after 15,30 and 45 days of exposure. This study indicated that glyphosate showed remarkable toxicity for hematological and biochemical parameters under investigation and glyphosate toxicity was directly related to the increasing concentration and time of
Depth of Interaction Measurements Based on Rectangular Light Sharing Window Technology and Nine-Crystals-to-One-SiPM Coupling Method

Depth of interaction (DOI) decoding capability shows great application potential for positron emission tomography (PET), especially for high-resolution small-animal PET or long axial field of view PET systems. On the basis of GATE optical simulation results, we presented a novel $9\times 9$ lutetium–yttrium oxyorthosilicate array with 10-mm rectangular light-sharing windows (RLSWs) and assembly the detector with nine crystals coupled to one silicon photomultiplier (SiPM) method; this caused DOI-related position shifts in the crystal decoding spots of the flood map. Homogeneous radiation was used to establish transfer functions to convert spot shifts into DOI measurements. The conventional collimated radiation experiments were used to assess the accuracy of the DOI measurements. Flood map results show that 81 segmented crystals can be clearly resolved, including 16 crystals adjacent to two RLSW windows (M-type), 40 crystals adjacent to one RLSW window (E-type), and 25 crystals not adjacent to any RLSW window (C-type). The mean absolute error of all DOI-capable crystals, M-type crystals, and E-type crystals are 2.15 ± 0.61, 1.95 ± 0.50, and 2.23 ± 0.63 mm, respectively. The novel nine-crystals-to-one-SiPM coupling technology is a low cost approach for constructing high-performance DOI detector modules. Detectors using nine-crystals-to-one-SiPM coupling technology are good candidates for high-resolution preclinical PET and for total-body PET.
A Theoretical Association Time Model for IEEE 802.15.4 TSCH Networks

The Time Slotted Channel Hopping (TSCH) mode of the standard IEEE 802.15. 4 provides Medium Access Control (MAC) for most Low power and Lossy Network (LLN) applications in the Internet of Things (IoT). TSCH uses a synchronized schedule with frequency diversity to allow flexible, reliable and resilient communication. The standard defines an association algorithm to allow nodes to autonomously form the network. The time required to create the network can be long, which consumes valuable energy given that nodes keep their radios on when trying to associate. In this letter, we propose a theoretical model to estimate the time required for a node to associate to one single synchronizer. This model extends and complements earlier mathematical models. Its results comply with outcomes from extensive simulation studies. This makes the proposed model a valuable tool to further investigate the time needed to form TSCH-based LLN networks.
Physico Chemical and Fatty Acid Composition of Nicker Bean (Entada gigas) Seed Oil

The proximate, minerals, physico chemical properties and fatty acid composition of nicker bean (Entadagigas) seed oil were evaluated. The results of proximate analysis were: moisture (25.0%), ash (0.50%), crude protein (0.23%), crude fat (60.4%) and carbohydrate (13.9%). The predominant mineral was magnesium (161mg/kg) followed by potassium (110 mg/kg) and sodium took the third position with value of 89.0 mg/kg. The least abundant mineral was phosphorus (5.45 mg/kg). The physico chemical parameters analysed were: saponification value (236mgKOH/g), specific gravity (0.7499 g/cm3), refractive index (1.4651), acid value (3.37mgKOH/g), unsaponifiable matter (21.62%), peroxide value (4.00 MEq.O2 /Kg), iodine value (13.96 mgI2/100g) and viscosity (5.52 mPa/sec). The richest fatty acid was oleic acid with the value of 72.1% while the least was lauric acid (0.11%). The value of TUFA >TSFA makes the oil worthwhile.