Miracle-dz/UniFAR-FTUs huggingface dataset:
Modified SPWM technique for improved harmonic performance of single PV array fed grid‐tied five‐level converter

This study presents a performance assessment of a single photovoltaic (PV) array fed transformer-based five-level converter topology with optimal shift factor-based modified sinusoidal pulse width modulation (OSF-MSPWM) technique under a dynamic solar PV environment. The five-level converter output is generated using H bridge cells and single-phase transformers. A single PV array is fed to all cascaded H bridge cells and isolation is provided by cascading secondary windings of the transformers in the AC side. The separate DC sources requirement is eliminated and galvanic isolation is provided by singlephase transformers. The decoupled controller with modified in-phase disposition PWM technique is used for active power injection into the grid at unity power factor. This work uses a new carrier shape at the same input carrier frequency and modulation index mf for improving the harmonics performance of the five-level converter. Hence, shift the dominant harmonics to the higher side for developed topology and performing optimal shift factor-based modulation is compared with the conventional SPWM technique. The steady-state and dynamic responses of the PV multilevel converter are observed in MATLAB simulation and tested in a real-time platform.
Distinct Symptoms and Underlying Comorbidities with Latitude and Longitude in COVID-19: A Systematic Review and Meta-Analysis

The coronavirus disease 2019 (COVID-19) pandemic is straining global health resources, and the prevalence of severe disease appears to vary across countries. In accordance with PRISMA guidelines, we performed a systematic review and meta-analysis of clinical features and underlying medical conditions of COVID-19. Eighty-seven studies, involving 1,434,931 COVID-19 patients from the Americas, Asia, Europe, and Oceania, were included. Geographically, the rate of severity was highest in Asia (95% confidence interval (CI) 0.23‒0.30). The rates of comorbidities of COVID-19 patients in the Americas were significantly higher than those in Asia. Most Asian patients had fever (95%CI 0.70‒0.81), and most Oceanian patients had cough (95%CI 0.68‒0.70) as their prevalent symptom. Dyspnea was common in the Americas (95%CI 0.33‒0.64), Europe (95%CI 0.29‒0.64), and high latitude regions (95%CI 0.53‒0.82). European patients exhibited significantly high rates of loss of smell and taste (95%CI 0.60–0.97). In low-latitude regions, cancer (95%CI 14.50‒4.89) had the strongest correlation with illness severity. Comorbid diseases and clinical manifestations of severe COVID-19 patients vary substantially between latitudes and longitudes. Region-specific care should be considered to treat and improve the prognosis of COVID-19 patients.
Empreendedorismo Feminino

Este estudo apresenta uma discussão sobre o empreendedorismo feminino, a partir de um olhar para as mulheres que compõem a Câmara da Mulher Empreendedora e Gestora de Negócios (CMEG) de Toledo-PR. Pesquisas nessa área são relevantes, visto que a mulheres brasileiras vem se apresentando entre as mais empreendedoras do mundo. Dessa forma, objetivou-se nesse estudo: a) entender o papel da CMEG, bem como o perfil, os desafios e as motivações das empreendedoras; b) analisar o comportamento gerencial das mulheres empreendedoras. Esta pesquisa é de caráter qualitativo (análise descritiva dos dados e a entrevista semiestruturada) e quantitativo (aplicação e análise de dados coletados por meio de questionários). A partir desse estudo foi possível estabelecer relações entre os resultados empíricos e a teoria de empreendedorismo. Os principais resultados apontam que as mulheres, em sua maioria, iniciaram seus empreendimentos ainda jovens e em grande parte possuem ensino superior completo. Apontam também que essas mulheres, majoritariamente, empreendem em microempresas do ramo do comércio e que a principal motivação para empreender é a busca pela independência financeira.
Holism, Parts, Wholes

‘Holism’, strangely enough, given the absolute quality it indicates, is a concept that can only be grasped through negative examples: what it is contrary to, the paradigms to which it constitutes an alternative. Definitions of ‘holism’ thus usually involve the interdependence among the parts composing an individual object; their relationship with that object as their container and sum; its insertion within a context, environ-mental or cosmic; and crucially, the existence of an additional quid which defines that object as a totality independent of its components – the idea that ‘the whole is greater than the sum of its parts. ’ In all these senses, the significance of the relationship between ‘parts’ and ‘whole’ can be much broader than the medical and anatomical discussions with which we would most immediately associate it, and which are under the spotlight in this vol-ume. The breadth and malleability of the concept are key to a cultural history which is extremely long, despite the fact that ‘holism’ itself, like many such labels, can easily be seen as anachronistic if applied to the pre-modern world. This chapter aims to offer a glimpse of this long history and to illustrate the relevance of the Graeco-Roman past to our understanding of the idea of holism, and to its various manifestations throughout the centuries which separate us from the ancients.
Research on Treatment of Night Soil Wastewater by Anaerobic Baffled Reactor

An anaerobic baffled reactor(ABR) with an effective volume of 32 L and 4 compartments was used to treat night soil wastewater.When the influent quality was that of COD=1 270～1 790 mg/L,pH=7.33～8.45 and HRT=48h,the results were indicated as follows.The removal rate of COD exceeded 75% in the beginning if the inoculation sludge had been domesticated for a long time,and reached about 90% when the system ran steadily.The pH increased gradually along the compartments,and the pH of outfluent was during 6.8 and 7.2. The removal rate of NH_3-N was about 20% in a conventional ABR,and further research on removal of NH_3-N should be carried out with the combination of aerobic techniques.
Comparison of Academic Motivation, Academic Self-efficacy, and Optimism Among First- and Fifth-year Professional Doctorate Students of Kerman University of Medical Sciences, Kerman, Iran.

Background: Educational situations greatly affect the mental growth and health of individuals, as well as their psychological resources. Of the psychological resources involved in education, academic self-efficacy, academic motivation, and optimism are noteworthy. Objectives: The present study aimed at comparing academic self-efficacy, academic motivation, and optimism among professional doctorate students at Kerman University of Medical Sciences, Kerman, Iran. Methods: A cross-sectional study was conducted on all the first- and fifth-year medical, dentistry, and pharmacy students of Kerman University of Medical Sciences in the academic year 2018-19 as the statistical population, of whom 266 subjects were selected by simple random cluster sampling. Data were collected using the Vallerand academic motivation and the Owen and Froman college academic self-efficacy scales, as well as the life orientation test (Scheier and Carver) questionnaires. MANOVA was used to analyze the data. Results: Dental students had the highest level of self-efficacy (P=0.007). Also, the mean scores of academic self-efficacy (P = 0.001) and optimism (P = 0.03) were higher among the fifth-year students. On the other hand, in the interaction of the study field with the entry year, self-efficacy was significant (P = 0.001). There was no significant difference in the academic motivation among the students of different study fields (P = 0.16) and according to the entry years. (P = 0.13) Conclusion: Dental students choose their field of study with more interest, which further maintains and increases their academic motivation during the seven years of academic education. On the other hand, interest in the field of study is one of the variables influencing the maintenance and increase of the self-efficacy construct over time.
Cancer detection using convolutional neural network optimized by multistrategy artificial electric field algorithm

Recently, image processing schemes are widely used to improve disease detection performance in many medicinal fields. Cancer is considered as one of the most deadly disease and early diagnosis of cancer is the complicated task in the field of medicine. In this paper, we present the two pretrained convolutional neural network (CNN) based on ensemble models such as VGG19 and VGG16 for cancer diagnosis that classifies both normal and abnormal images. The dilemma associated with CNN hyperparameter tuning complicates while diagnosing cancer. Hence, we propose multistrategy based artificial electric field (M‐AEF) algorithm for hyper‐parameter tuning in CNN thereby finding the optimal values. The exponentially decaying learning rates are more helpful to train CNN and prevent it from a local minimum. Thus, random minority over‐sampling and random majority under‐sampling address the imbalanced issue present in the dataset. The images are obtained from three different datasets namely the Kaggle dataset, International Collaboration on Cancer Reporting (ICCR) dataset, and cancer programming dataset for cancer detection. The experimental results are executed in MATLAB software and various performance analyses are carried out. Finally, the proposed method demonstrated better and higher cancer detection performance than other methods.
Steady-state moisture transport in a bleached kraft paperboard stack

Le transport de l'humidite en regime stable dans une pile de feuilles de carton kraft blanchi (grammage 230 g/m 2 ) a fait l'objet d'essais experimentaux a 23°C dans un appareil a diffusion. La diffusivite effective de l'humidite (D eff ) du carton a ete approximativement constante jusqu'a une HR moyenne de 60%. Au-dela de cette valeur, la D eff a augmente rapidement avec la HR moyenne. Un modele mathematique pour la D eff qui tient compte tant de la diffusion de l'eau-vapeur que du mouvement de l'eau liee dans le carton a ete elabore, afin de correler les resultats experimentaux.
Identifying the Relationship between Academic Self-motivation and the Mathematical Thinking: A Case Study of Secondary School Students

This research paper aims to examine and evaluate co-relationship between the academic self-motivation and the mathematical thinking among secondary school students in Al-Sulail and Wadi Al-Dawassir Governorates, Saudi Arabia. The purpose of the study is to find out the role of self-efficacy in learning mathematical concepts and skills. It is assumed that math self-concept affects math performance both directly and indirectly. For the assessment of this assumption, data were collected by using a questionnaire for academic self-motivation, and a test for measuring the mathematical thinking of the subjects. The tools were applied to secondary school students and distributed electronically to a number of 254 students. Out of the total participants, 238 students responded to the questionnaire. The data were analyzed using the SSPS software. Based on the overall results and the discussion of this research, it was concluded that academic self-motivation and mathematical thinking have either less dependence or no dependence at all. This outcome is based on the analysis of the study sample.
Multi‐mode switching‐based model predictive control approach for longitudinal autonomous driving with acceleration estimation

This study proposes a multi-mode switching longitudinal autonomous driving system based on model predictive control (MPC) with acceleration estimation of proceeding vehicle. A hierarchical control framework composed of three layers is utilised. In the first layer, five longitudinal driving scenarios are defined based on emergency degree. In the second layer, the MPC for longitudinal autonomous driving is designed and serving as the upper controller. Among which a non-linear tracking differentiator is used for acceleration estimation of preceding vehicle. In the third layer, the inverse longitudinal vehicle system dynamic model with strong non-linearity is considered in the lower controller. Proportional–integral–derivative feedback and feedforward control are combined to track the desired acceleration. Simulation and hardware-in-loop test results show that the multi-mode switching longitudinal autonomous driving system is feasible and effective, and has important value for engineering application.
A Systematic Literature Review of Risk Assessment in Water Supply System Project

Risk is often assumed that the word implies a negative outcome. It is commonplace that risk is uncertain. Although a feasibility study had been carried out before the construction of water supply project started but it could not be avoided that risks would still occur. The risks that arise in real are very diverse, such as the risk of rejection by the community, the design is not good, the construction that is not by the design, the uncertain quality of raw water so that water treatment is inefficient and the risk of Public-Private Partnership (PPP). Referring to the risk phenomenon that occurs in the water supply project, so this research is carried out on research on risks in drinking water projects that have been carried out before to find out about the description of more likely risks that occur. This summary literature review shows that Technical Risk risks have the greatest impact on water supply risk projects either in the internal or projects category.
MPC-Based Cooperative Control Strategy of Path Planning and Trajectory Tracking for Intelligent Vehicles

In this paper, we propose a progressive model predictive control scheme (PMPCS) by considering the cooperative control of local planning and path tracking for intelligent vehicles. An improved particle swarm optimization (IPSO) based model predictive control (MPC) method is developed to solve the planning and tracking problem. With the PMPCS, the total computational burden can be reduced sharply because of the seamless connection and mutual promotion between the optimization of two layers. Besides we also propose a novel planning algorithm, which can take traffic lights and overtaking time constraint into account. To solve these problems, we first combine model predictive control with artificial potential field (APF) to get a collision-free path by treating the time-varying safety constraints as the scope of the repulsive force and an asymmetrical lane potential field function. Furthermore, the pseudo velocity planning method is adopted to take traffic lights into account in the planning module. Simulation results show the reliability of the proposed algorithm and the advantages of the scheme compared with general hierarchical algorithm.
Comparison of Calculated LDL-Cholesterol Using Various Formulae with Directly Measured LDL-Cholesterol: A Retrospective Study

Background: Among the various risk factors for developing dyslipidemia and Cardiovascular Disease (CVD), elevated Low-Density Lipoprotein Cholesterol (LDL-C) has been recognized as an independent and widely accepted risk factor for CVD. Therefore the objective of the study was to calculate LDL-C using various formulae and to compare the various formulae to calculate LDL-C with direct LDL-C measurement. Materials and methods: It was a retrospective observational study and study was conducted for a period of 3 Months. During this period, 400 consecutive serum samples were included, out of which 37 had TG value more than 400 mg/dl and were excluded from the study. Finally 363 samples data were included for analysis and data were obtained from the investigation ledger of clinical Biochemistry section and same sample Triglyceride, Total Cholesterol and High Density Lipoprotein Cholesterol was used for calculating LDL-C using various formulae. Results: A total of 400 lipid profile reports were collected, of these, 37 reports had triglyceride level ≥ 400 mg/dl and hence 363 samples were included. There is no statistical difference between the direct LDL-C (131.64± 29.34mg/dl) and LDL-C level calculated by Friedewald formula (133.85±35.97mg/dl, p>0.05). There is a highly significant statistical difference between the direct LDL-C and the LDL-C level calculated using all other formulae (p=0.0001) Cordova and Cordova formula (88.06 ± 28.40mg/dl), Vujovic formula (80.44 ± 15.52mg/dl), Ahmadi formula (186.34 ± 63.26mg/dl), Anandaraja formula (92.46 ± 32.37mg/dl), Puavillai formula (88.54 ± 32.78mg/dl) and Hattori formula (77.45 ± 30.31mg/dl). Conclusion: The study established Friedewald formula as the most suitable method for calculating LDL-C in the absence of direct LDL-C measurement facilities. A large sample size and multicentric study is warranted to confirm which formula is most suitable for measuring the LDL-C in the absence of direct LDL-C measurement.
Genome-wide Association Study Reveals the IBSP Locus Affect Ear Size in Cattle

BackgroundEar size is a classical model for hot climate adaptation following evolution, however, the genetic basis of the traits associated with the ear size remains to be elucidated.ResultsIn the current study, we performed GWAS on 158 cattle individuals to to explain the genetic mechanism of ear size. The results suggested significant association of IBSP locus with ear size. A missense mutation (Threonine-250→Isoleucine) on the seventh exon of IBSP was observed, which occurred at a quite conserved site and changed the three-dimensional (3D) structure simulations. In addition to GWAS, 14 cattle breeds were screened for the selection signals associating with the ear size using Fst and SweepD. The selective sweep analysis also suggested that IBSP was under positive selection amongst 4 breeds with relatively large ear size. The allele distribution of this mutation was validated among 394 samples from 21 worldwide cattle breeds, which strongly implied the origin of the A allele mutation to be from the Bos taurus.ConclusionsThese findings not only have important theoretical significance for the exploration of major genes associated with the ear size but also provide important molecular markers for the identification of cattle germplasm resources.
The Role of Clinical Supervision: Teaching Basic Obstetric Ultrasound for Undergraduate Medical Students

This study aimed to find the impact of clinical supervision on the achievement of medical student competence in basic obstetric ultrasound examination skills by using DOPS as the assessment method. Students’ knowledge related to basic obstetric ultrasound examination in the beginning and in the end of their 10 weeks clinical rotation in Department of Obstetrics and Gynecology were assessed by using pre-test and post-test questionnaire. By employing mixed methods, one group pre and post-test design was positioned to assess student knowledge, one group post-test design to assess student’s skills achievement and qualitative study to explore student perception about the new learning method we offered. The collected data were analyzed with computer program; means and standard deviation were calculated as descriptive parameters. Parametric test were used to test the hypothesis. The pre-post results were compared by using Wilcoxon test. The results showed a significant difference in the score of pre-test and post-test. Qualitative data showed positive perception. Clinical supervision as teaching method together with learning media in the form of module and ultrasound video gave positive result to improve achievement of student’s competence in basic obstetric ultrasound examination skills.
Effect of Temperature on Reactive Extraction of Gallic Acid Using Tri-n-butyl Phosphate, Tri-n-octylamine and Aliquat 336

The present work is focused on the effect of temperature on extraction of gallic acid using Aliquat 336, tri-n-butyl phosphate and tri-n-octylamine in hexanol and octanol. Distribution coefficient, loading ratio, percent extraction, equilibrium complexation constant, water coextraction, enthalpy, and entropy change were evaluated for various acid–extractant–diluent combinations with varying temperature. The extraction of GA was found to be highly exothermic at lower molality of TBP in octanol with evaluated enthalpy change as −28 743 J/mol. The extraction of gallic acid process was favored at low temperature as the process was evaluated as an exothermic in nature. Maximum extraction efficiency of 97.3% was observed at higher molality of Aliquat 336 in hexanol at lower temperature.
Green Synthesis and Characterization of Nano Phosphorus Fertilizer for Wheat

Nanofertilizers are the important tools in agriculture to improve crop growth, yield and quality parameters with increase nutrient use efficiency, reduce wastage of fertilizers and cost of cultivation.The main reason for high interest in nanofertilizers is mainly their penetration capacity; size and very high surface area which is usually differ from the same material found in bulk form. Nanofertilizers are not only ecofriendly but also reduce environment pollution. Nanofertilizers are highly effective for precise nutrient management in precision agriculture with matching the crop growth stage for nutrient and may provide nutrient throughout the crop growth period. Nano-fertilizers increase crop growth up to optimum concentrations further increase in concentration may inhibit the crop growth due to the toxicity of nutrient. Nanofertilizers were very effective in nutrient uptake (Singh et al., 2017). Nanofertilizers have limitations like synthesis and characterization of nanofertilizer is difficult job and it is less available in market. Nanofertilizer has some disadvantages like it is costlier in market and higher dose of any nanofertilizer led to decrease in yield. International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 9 Number 12 (2020) Journal homepage: http://www.ijcmas. com
Group-ICA with Functional Connectivity During Inhibition Control in Young Adults With Autistic-like Traits: an fMRI Study of a Stop-Signal Task

BackgroundFew studies explored response inhibition in autistic-like traits people, using task fMRI. In this study, we examine the functional connectivity of the brain using a stop-signal task based on fMRI among young adults with autistic-like traits and investigated their ability to achieve inhibition control.Methods29 of Chinese individuals measured with AQ. Then applied stop signal task to explore the difference in brain functional connectivity in individuals with autistic-like traits.ResultsThe results showed autistic-like traits people the longer the SSRT, the worse the inhibition ability. And we used networks obtained from groupICA analysis at the functional connectivity analysis level, the SN had a negative connection with left SMG; the DAN had a negative connection with left LG; the FPN had a positive connection with left PCG; the LN had a positive connection with vermis 4 5 and negative connection with left ITG. Furthermore, the SMG, LG, PCG, and temporal gyrus were also obtained in ROI-to-ROI analysis.LimitationsOur sample size smaller, still need to multicenter, large sample confirmed this conclusion. We want to use more task paradigms to explore inhibition control in autistic-like traits people.Conclusions﻿We found that autistic-like traits people had atypical functional connectivity within brain networks in the SN, DAN, FPN, and LN, and had atypical brain areas centered on the SMG, LG, PCG, and temporal gyrus. And also highlight the importance of considering executive control function of whole-brain functional connections to better characterize brain connectivity in young adults with autistic-like traits.