Miracle-dz/UniFAR-FTUs huggingface dataset:
Technologies to Optimize the Care of Severe COVID-19 Patients for Health Care Providers Challenged by Limited Resources

Health care systems are belligerently responding to the new coronavirus disease 2019 (COVID-19). The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a specific condition, whose distinctive features are severe hypoxemia associated with (>50% of cases) normal respiratory system compliance. When a patient requires intubation and invasive ventilation, the outcome is poor, and the length of stay in the intensive care unit (ICU) is usually 2 or 3 weeks. In this article, the authors review several technological devices, which could support health care providers at the bedside to optimize the care for COVID-19 patients who are sedated, paralyzed, and ventilated. Particular attention is provided to the use of videolaryngoscopes (VL) because these can assist anesthetists to perform a successful intubation outside the ICU while protecting health care providers from this viral infection. Authors will also review processed electroencephalographic (EEG) monitors which are used to better titrate sedation and the train-of-four monitors which are utilized to better administer neuromuscular blocking agents in the view of sparing limited pharmacological resources. COVID-19 can rapidly exhaust human and technological resources too within the ICU. This review features a series of technological advancements that can significantly improve the care of patients requiring isolation. The working conditions in isolation could cause gaps or barriers in communication, fatigue, and poor documentation of provided care. The available technology has several advantages including (a) facilitating appropriate paperless documentation and communication between all health care givers working in isolation rooms or large isolation areas; (b) testing patients and staff at the bedside using smart point-of-care diagnostics (SPOCD) to confirm COVID-19 infection; (c) allowing diagnostics and treatment at the bedside through point-of-care ultrasound (POCUS) and thromboelastography (TEG); (d) adapting the use of anesthetic machines and the use of volatile anesthetics. Implementing technologies for safeguarding health care providers as well as monitoring the limited pharmacological resources are paramount. Only by leveraging new technologies, it will be possible to sustain and support health care systems during the expected long course of this pandemic.
Fry, Adam and Mullinger, Karen J. and O'Neill, George C. and Brookes, Matthew J. and Folland, Jonathan P. (2018) The effect of physical fatigue on oscillatory dynamics of the sensorimotor cortex. Acta Physiologica,

Aim: While physical fatigue is known to arise in part from supraspinal mechanisms within the brain exactly how brain activity is modulated during fatigue is not well understood. Therefore, this study examined how typical neural oscillatory responses to voluntary muscle contractions were affected by fatigue. Methods: Eleven healthy adults (age 27±4 years) completed two experimental sessions in a randomised crossover design. Both sessions first assessed baseline maximal voluntary isometric wrist-flexion force (MVFb). Participants then performed an identical series of fourteen test contractions (2 × 100%MVFb, 10 × 40%MVFb, 2 × 100%MVFb) both before and after one of two interventions: forty 12-s contractions at 55%MVFb (fatigue intervention) or 5%MVFb (control intervention). Magnetoencephalography (MEG) was used to characterise both the movement-related mu and beta decrease (MRMD and MRBD) and the post-movement beta rebound (PMBR) within the contralateral sensorimotor cortex during the 40%MVFb test contractions, while the 100%MVFb test contractions were used to monitor physical fatigue. Results: The fatigue intervention induced a substantial physical fatigue that endured throughout the post-intervention measurements (28.9-29.5% decrease in MVF, P<0.001). Fatigue had a significant effect on both PMBR (ANOVA, session × timepoint interaction: P=0.018) and MRBD (P=0.021): the magnitude of PMBR increased following the fatigue but not the control interventions, whereas MRBD was decreased post-control but not post-fatigue. Mu oscillations were unchanged throughout both sessions.
The ionized gas in and around the Wolf-Rayet galaxy NGC 1741

Interaction can be the main mechanism that triggers star formation in Wolf-Rayet galaxies. The compact group HCG 31 has one of this objects, NGC 1741, and presents important interacting processes. We present deep optical intermediate-resolution spectroscopy of the different individual galaxies of HCG 31. We analyse the physical conditions and chemical composition of the ionized gas in order to get a more complete view on the origin and evolution of the system. ABSTRACT
Robust Generalized Sidelobe Canceller with an Eigenanalysis-Based Blocking Matrix

In acoustic environments with strong background noise and interferences, the generalized sidelobe canceller (GSC) suffers from signal distortion and reduced amount of noise suppression since the blocking matrix cannot produce pure noise reference due to unavoidable direction of arrival (DOA) mismatch. In this paper, a generalized sidelobe canceller robust to DOA mismatch is proposed. It employs eigenanalysis to reconstruct the interference-plus-noise covariance matrix with the possible DOA region of signal of interest (SOI). The reconstructed matrix is provided for the MaxSINR beamforming and subsequent blocking matrix construction. The designed blocking matrix can minimize the signal leakage meanwhile maximize the noise and interference power for further noise and interference suppression. Numerical simulation results show that compared with the alternatives, the proposed GSC has better interference suppression capability and lower SOI distortion in situations without precise DOA of SO
DESIGN CRITERIA OF A PROTON FFAG ACCELERATOR.

There are two major issues that are to be confronted in the design of a Fixed-Field Alternating-Gradient (FFAG) accelerator, namely: (1) the stability of motion over the large momentum range needed for the beam acceleration, and (2) the compactness of the trajectories over the same momentum range to limit the dimensions of the magnets. There are a numbers of rules that need to be followed to resolve these issues. In particular, the magnet arrangement in the accelerator lattice and the distribution of the bending and focusing fields are to be set properly in accordance with these rules. In this report they describe four of these rules that ought to be applied for the optimum design of a FFAG accelerator, especially in the case of proton beams.
Global Journal of Research in Engineering & Computer Sciences

The Radio Frequency Identification (RFID) system is an essential wireless technique of identification of physically placed objects in certain state spaces. The RFID system is the most emerging technology these days which is becoming the alternate for the barcode. Hence this technology is receiving a lot of attention comparatively over the past few years. The RFID system technology is used to automatically identify any item or a package. The automatic identification can be done with the help of the RFID Tags and the RFID Reader units. The RFID tag contains a transponder that can transmit wireless information over a short distance. The information is then received by the device called the RFID Reader and is further processed through middleware infrastructure. Lots of the RFID system applications are being used in various fields like Hospitals (Healthcare centers), Engineering
Machine learning based twitter data sentiment classification on real time ‘clean India mission’ tweets

Social networking sites are popular medium to share opinion on various topics. Twitter is one of the social networking site used for tweet posting. Sentiment classification deal with finding the polarity of these tweets as positive, negative or neutral. This analysis can be useful in decision support in different ways. The aim of this paper is to discuss various machine learning algorithm for twitter sentiment classification, compare their results on the basis of Accuracy, Precision, Recall and F-Score. A real time data set for training and testing is created after extraction and cleaning of tweets on “Clean India Mission or Swachh Bharat Abhiyan”. “Clean India Mission” is a campaign by government of India to clean the country. This paper also compares machine learning algorithms with Bagging, Boosting and Random Forest ensemble approaches.
Two-dimensional semi-Lagrangian trans-port with shape-preserving interpolation

This invention relates to a roof-gravel removal apparatus including a trailer-mounted foldable frame which cooperates with the trailer on which it is mounted to define a drive-through archway when fully unfolded, said archway supporting a hopper or the like in position to deposit the contents thereof into the bed of a truck waiting therebeneath. Vertically adjustable stanchions disposed at the rear end of the trailer behind its wheels cooperate with the front section of the frame to produce the front legs of the arch when the latter is fully unfolded. The vacuuming apparatus and associated equipment are located on the trailer bed so as to cooperate therewith and counterbalance the foldable frame and hopper subassembly supported thereon. The midsection of the frame carrying the hopper is hingedly connected to the front section in offset relation such that a gap is left therebetween in folded position sized to receive and house the rear section. The invention also includes the sequence of folding and unfolding the frame which comprises first elevating the entire frame into an upwardly and forwardly inclined position relative to the trailer bed, raising the mid and rear sections as a unit while still folded into right angular relation relative to the front section, unfolding the rear section and lowering the frame thus unfolded down onto the ground.
Quantitative Estimation of Filler-Filler Interaction of Rubber Vulcanizates Using Dynamic Mechanical Analyzer

Carbon black and silica are the two most important fillers primarily used by most of the tyre industries. The desire for improving the product performance includes tread wear life, good traction and low rolling resistance leads to the use of silica along with carbon black by the industries [1]. The effective incorporation and dispersion of fillers into the rubber matrix is very important while considering the performance of the product. The elastic part of a filler network depend majorly on its structure property, but still the formation of filler network and the process of aggregation is still unclear [2]. The poor rubber filler interaction would lead to inferior product life, dull appearance of product, difficulty in processing, raw material, and energy wastage [3]. There are number of techniques available to qualitatively characterize the dispersion comprising inspection by naked eyes [4], microscopy [5], optical [6], reflectometry [7], profilometry [8], electrical resistivity [9], and many more. Based on the literature review, several research works have been published in studying the dispersion in un vulcanized rubber compounds and in related areas. In this present research, a focused approach has been applied to quantitatively estimate the filler-filler interaction in rubber vulcanizates by making use of Dynamic Mechanical Analyzer.
Explorer Kepler-21 b : A Rocky Planet Around a V = 8 . 25 Magnitude Star

HD 179070, aka Kepler-21, is a V = 8.25 F6IV star and the brightest exoplanet host discovered by Kepler . An early detailed analysis by Howell et al. (2012) of the first thirteen months (Q0 – Q5) of Kepler light curves revealed transits of a planetary companion, Kepler-21b, with a radius of about 1.60 ± 0.04 R⊕ and an orbital period of about 2.7857 days. However, they could not determine the mass of the planet from the initial radial velocity observations with Keck-HIRES, and were only able to impose a 2σ upper limit of 10 M⊕. Here we present results from the analysis of 82 new radial velocity observations of this system obtained with HARPS-N, together with the existing 14 HIRES data points. We detect the Doppler signal of Kepler-21b with a radial velocity semi-amplitude K = 2.00 ± 0.65 m s−1, which corresponds to a planetary mass of 5.1 ± 1.7 M⊕. We also measure an improved radius for the planet of 1.639 −0.015 R⊕, in agreement with the radius reported by Howell et al. (2012). We conclude that Kepler-21b, with a density of 6.4 ± 2.1 g cm−3, belongs to the population of terrestrial planets with iron, magnesium silicate interiors, which have lost the majority of their envelope volatiles via stellar winds or gravitational escape. The radial velocity analysis presented in this paper serves as example of the type of analysis that will be necessary to confirm the masses of TESS small planet candidates. Subject headings: planets and satellites: formation — planets and satellites: individual (Kepler-21b) — stars: individual (HD 179070) — techniques: photometric — techniques: radial velocities — techniques: spectroscopic
Haddad, Anneke D.M. and Bilderbeck, Amy and James, Anthony C. and Lau, Jennifer Y.F. (2015) Fear responses to safety cues in anxious adolescents: preliminary evidence for atypical age-associated trajectories

(2015) Fear responses to safety cues in anxious adolescents: preliminary evidence for atypical age-associated trajectories of functional neural circuits. The Nottingham ePrints service makes this work by researchers of the University of Nottingham available open access under the following conditions. This article is made available under the Creative Commons Attribution Non-commercial No Derivatives licence and may be reused according to the conditions of the licence. For more details see: A note on versions: The version presented here may differ from the published version or from the version of record. If you wish to cite this item you are advised to consult the publisher's version. Please see the repository url above for details on accessing the published version and note that access may require a subscription.
Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Seroprevalence and Risk Factors Among Oligo/Asymptomatic Healthcare Workers: Estimating the Impact of Community Transmission

e1214 • cid 2021:73 (1 September) • BRIEF REPORT Received 19 August 2020; editorial decision 8 December 2020; published online 13 December 2020. Correspondence: S. F. Costa, Avenida Dr. Eneias Carvalho de Aguiar 470-Jardim América, São Paulo, SP-Brazil 05403-000 (silviacosta@usp.br). Clinical Infectious Diseases 2021;73(5):e1214–8 © The Author(s) 2020. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com. DOI: 10.1093/cid/ciaa1845 Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Seroprevalence and Risk Factors Among Oligo/Asymptomatic Healthcare Workers: Estimating the Impact of Community Transmission
Primary hepatocellular carcinoma in HBV infected patient-a case report

Hepatocellular carcinoma is primary neoplasm of the liver, which usually accompanies cirrhosis of this organ. This malignancy neoplasms commonly occurs all around the world. The frequency of morbidity on this disease is correlated with frequency of HBV and HCV infections in the population. That is caused due to the pathogenic effects of these viruses, among others on liver cells, affecting carcinogenesis. Appropriate and early treatment of infection reduces the chance of developing cancer. In our article we present the case, 63-years-old male, with primary hepatocellular carcinoma correlated with hepatitis B virus infection. Unfortunately, the neoplasm was diagnosed too late, and despite the comprehensive treatment introduced, the patient died.
Machine Learning based novel Autism Spectrum Disorder Screening

Man tries to learn his surroundings by showing tendencies such as discovering, researching, asking questions, and noticing the relationships between objects. In other words, he tends to understand the world he lives in with various judgments. Therefore, it is important to raise individuals with advanced reasoning skills, mathematical thinking skills, proofing skills, problem solving skills, metacognitive knowledge, skills or qualifications. It can be said that this can only be possible with the right teaching models, methods, techniques and teachers who can use them in the most efficient way. In this context, the aim of the study is; To determine the difficulties in the preparation process for LGS, which has been implemented in our country since 2018, and the reflections of LGS on mathematics education applied in schools within the framework of the opinions of mathematics teachers and make suggestions accordingly. In the study, the screening model was adopted because it was tried to portray the thoughts of a certain group of participants on a subject. The sample of the study; It consists of 110 mathematics teachers who attended 8th grade classes in the 2018-2019 academic year. The data obtained from teachers' opinions were analyzed by content analysis method. According to this; The predominant opinion is that students have problems in understanding, interpreting, thinking and reasoning in the new examination system, however, because the textbooks and the exam are not parallel, teachers have various difficulties. In this direction, various activities can be organized to increase students' motivation and to gain reading habit. In addition, it is thought that it would be beneficial to provide teachers with in-service training for the exam.
The density matrix renormalization group on tensor networks

Das Ziel dieser Arbeit ist einen Uberblick uber die Entwicklung der Simulation von quanten Vielteilchenproblemen zu geben. Wir behandeln die Algorithmen die auf der Density Matrix Renormalization Methode basieren. Sie ist eine der schnellsten und prazisesten Simulationsmethoden. Allerdings war ursprunglich die Methode ausschlieslich zur Simulation eindimensionaler Probleme gedacht. Diese Arbeit behandelt den klassischen Ansatz sowie die Versuche diese eindimensional Methode auf hoherdimensionale Probleme umzulegen. Im speziellen wird auf die Moglichkeit der generalisierung auf Probleme mit baumartiger Geometrie eingegangen und auch auf andere Tensornetzwerk basierende Methoden eingegangen.
Frequency and Determinants of Vitamin D Deficiency Among Premenopausal and Postmenopausal Women: A Multicenter Study in Karachi, Pakistan

Background: Vitamin D deficiency is becoming a serious public health problem, even in sun-drenched cities like Karachi, Pakistan. We investigated the prevalence of vitamin D deficiency VDD and its association with sociodemographic characteristics, anthropometric measures, and lifestyle factors among Pakistani women (n = 784). Methods: Face-to-face interviews were conducted to collect information from premenopausal and menopausal women and serum 25(OH)D was measured after the interview. Results: The mean age of the women was 46.2 years, and the mean 25-hydroxyvitamin D (+/- SD) levels were 22.9 ng/ml (+/-20.3). A total of 57% of women were vitamin D deficient with higher vitamin D deficiency found among premenopausal (64.7%) women compared to menopausal women (49%). Factors associated with vitamin D deficiency were lower socioeconomic status (OR 2.00; 95% CI 1.15–3.48), younger age with highest vitamin D deficiency in < 35 years of age (OR 3.11; 95% CI 1.76–5.51), and winter season (OR 1.51, 95% CI 1.07-2.15) after adjusting for multiple confounders. The use of vitamin D supplement use (OR 0.59, 95% CI 0.38-0.92) and vigorous exercise (OR 0.20, 95 % CI 0.05-0.80) was protective against vitamin D deficiency. Conclusions: The study shows a high prevalence of vitamin D deficiency, with detrimental health effects among younger women belonging to lower socioeconomic status during the winter season. The use of vitamin D supplements and vigorous exercise were protective measures. Public health campaigns are needed for education and awareness about vitamin D deficiency to improve vitamin D status for younger women living in poor environments.
Assessment of blood glutathione peroxidase activity in the dromedary camel

Blood glutathione peroxidase (GSH-Px) levels in 709 normal dromedary camels (442 females and 267 males) were assessed in the Canary Islands. All animals were intensively reared, and three different nutritional systems were evaluated, depending on selenium content of the diet. Mean GSH-Px level in the total population was 288.5 ± 157.2 IU⋅g–1 Hb. Reference ranges were estimated and enzymatic activities below 51 IU ⋅g–1 Hb were considered inadequate. GSH-Px activities obtained in females (298.1 ± 155.7 IU⋅g–1 Hb) were significantly ( P = 0.037) higher than in males (272.6 ± 157.2 IU⋅g–1 Hb). When age groups were compared, only males between 6 and 12 months old exhibited significantly lower mean GSH-Px ( = 0.006) than females. A high correlation (r = 0.88) between serum selenium concentration and blood GSH-Px activity was estimated, and the regression equation was y = 2.5101x + 42.423. Selenium content of the diet above 0.1 mg ⋅kg–1 DM seems to supply adequate selenium requirements for dromedaries under intensive husbandry. dromedary / camel / nutritional myodegeneration / glutathione peroxidase / selenium Résumé – Détermination des niveaux sanguins de glutathion péroxydase chez le dromadaire. Les niveaux de glutathion péroxydase (GSH-Px) dans le sang de 709 dromadaires sains (442 femelles et 267 mâles) ont été mesurés dans les Îles Canaries. Tous les animaux ont reçu un élevage intensif et trois systèmes de nutrition ont été évalués en fonction du contenu en sélenium de l’alimentation. L’activité moyenne de GSH-Px dans l’ensemble de la population a été évaluée à 288,5 ± 157,2 IU⋅g–1 Hb. Les intervalles de référence ont été estimés et les activités enzymatiques en dessous de 51 IU⋅g–1 Hb ont été considérées insuffisantes. Les activités GSH-Px obtenues chez les femelles (298,1 ± 155,7 IU⋅g–1 Hb) étaient significativement ( P = 0,037) plus élevées que chez les mâles (272,6 ± 157,2 IU⋅g–1 Hb). Quand les groupes d’âge ont été comparés, seuls les mâles âgés de 6 à 12 mois montrèrent une valeur moyenne de GSH-Px significativement ( P = 0,006) plus basse que les Vet. Res. 32 (2001) 185–191 185 © INRA, EDP Sciences, 2001 * Correspondence and reprints Tel. : (34) 928454305; fax: (34) 928454351; e-mail: corbera@vet.ulpgc. es J.A. Corbera et al. 186
Some Uses of Rasch Models Parameters in Customer Satisfaction Data Analysis

Abstract Rasch model is becoming an interesting and performed tool in customer satisfaction studies. Through the Rasch analysis it is possible to obtain independent measures for both customers and items devoted to collect customers’ opinions about quality. The aim of this paper is to use these parameters to perform further analysis: item parameters and thresholds parameters allows us to check items and responses categories coherence; estimated person parameters are instead used as dependent variables in multilevel models to study relations between customers’ satisfaction and other variables included in a hierarchical structure. To illustrate the proposed method an application with students’ satisfaction data is carried out.