Miracle-dz/UniFAR-FTUs huggingface dataset:
Moderne Optimierungsansätze für elektrische Maschinen im Mobilitätssektor

Einer der wichtigsten Trends auf dem deutschen Technologiemarkt wird von der Entwicklung elektrisch angetriebener Straßenfahrzeuge ausgemacht. Für elektrische Antriebe sprechen hohe Effizienz, die Nutzung von regenerativen Energien, ein großer Betriebsbereich in allen vier Quadranten und eine in-stantane Bereitstellung des Drehmomentes [1]. Die Anforderungen an elektrische Maschinen im Kraftfahrzeugsektor sind hoch. Hierbei lassen sich elektrische Antriebe in Hinblick auf mehrere Zielgrößen auslegen und optimieren. Derartige Optimie-rungsparameter könnten die geringe Drehmomentwelligkeit, die maximale Drehmomentdichte, der maximale Wirkungsgrad, die minimalen Kosten und das minimale Gewicht sein. Das Optimierungsproblem elektrischer Maschinen lässt sich aus mehreren Blickpunkten betrachten. Im hiesigen Paper soll sich auf das elektromagnetische sowie thermische Verhalten konzentriert werden. Diesbezüglich sollen für beide Blickpunkte aktuelle Modelle aufgestellt, sowie Optimierungsansätze vorgestellt werden. thermische den folgender Maschinentypen: Permanent erregte Synchronmaschine
Introducing Big Data to Undergraduate Students: A Novel Approach in a Distance University

Contribution: The main contribution of this work is a way to improve existing degrees with state-of-the-art technologies so that they stay interesting and useful for students. It is of interest to faculty in any University worldwide, especially in Engineering Education, where the constant evolution of technology makes faculty devote effort to keep courses up-to-date. Background: Over last few years, Big Data has been one of the most demanded technologies by companies in any field. In order to fill this need of Big Data professionals, Universities must create new degrees or update existing degrees so that their graduated students are ready to perform this job. For this, the Degree in Computer Engineering of our University, which is taught totally online, has been updated to include Big Data technologies. These technologies are included in a databases course. Intended outcomes: The proposal allows faculty from any university worldwide to keep degrees up-to-date with minimal administrative effort. Application design: Big Data technologies have been included in a practical exercise, since deeper modifications in the course would require a lot administrative of effort. This work presents this exercise focusing on the learning objectives it pursues. Findings: A number of dimensions are analyzed over several academic years, resulting that almost all submitting students have achieved all the learning outcomes of the exercise, the course evaluation and success rates have improved, and students value positively the exercise, the materials, and the knowledge acquired.
Umbu and mangaba ice cream: shelf life and viability of Bacillus clausii

_________________________________________________________________________ Resumo: Objetivou-se avaliar a vida de prateleira de duas formulações de sorvete de umbu e mangaba adicionado de frutooligossacarírdeo (F1: sem Bacillus clausii; F2: com Bacillus clausii), além de verificar a viabilidade do Bacillus clausii. A composição centesimal foi avaliada apenas na F2 no dia 1 de estocagem. Ambas as formulações foram caracterizadas quimicamente (atividade do radical 1,1-difenil-2-picril-hidrazil, Ferric Reducing Antioxidant Power, fenólicos totais), físico-quimicamente (pH, acidez total e sólidos solúveis totais SST) e microbiologicamente (bactérias psicrotrófilas, coliformes totais e termotolerantes, Staphylococcus coagulase positiva e Salmonela sp.). Observou-se também a viabilidade de B. clausii nos dias 1, 30, 60 e 150 de estocagem sob congelamento (-18°C). O sorvete apresentou maior percentual em umidade (56,91g/100g) e os teores de macronutrientes se aproximaram aos dos sorvetes industrializados. O B. clausii permaneceu viável (1,1 x 10 8 UFC/g de sorvete) ao longo dos 150 dias conferindo propriedade funcional ao sorvete. As características químicas e físico-químicas variaram entre as formulações, exceto os SST. As formulações de sorvete permaneceram estáveis microbiologicamente durante a estocagem. Sendo assim, o sorvete proposto é uma matriz viável para o B. clausii e uma nova opção de sorvete com propriedade funcional. Palavras-chaves: Sorvete; prebiótico; probióticos; frutas regionais. Abstract: The objective was to evaluate the shelf life of two formulations of umbu and mangaba ice cream added with fructooligosaccharide (F1: without Bacillus clausii; F2: with Bacillus clausii), in addition to checking the viability of Bacillus clausii. The proximate composition was evaluated only at F2 on day 1 of storage. Both formulations were characterized chemically (activity of the radical 1,1-diphenyl-2-picryl-hydrazil, Ferric Reducing Antioxidant Power, total phenolics), physically-chemically (pH, total acidity and total soluble solids SST) and microbiologically (bacteria psychrotrophils, total and thermotolerant coliforms, coagulase positive Staphylococci and Salmonella sp.). The viability of B. clausii was also observed on days 1, 30, 60 and 150 of storage under freezing (-18 ° C). Ice cream had a higher percentage of moisture (56.91g / 100g) and the macronutrient content was close to that of industrialized ice cream. B. clausii remained viable (1.1 x 108 UFC / g of ice cream) over the 150 days conferring functional property to the ice cream. Chemical and physical-chemical characteristics varied between formulations, except for SST. The ice cream formulations remained microbiologically stable during storage. Therefore, the proposed ice cream is a viable matrix for B. clausii and a new ice cream option with functional properties.
Antimicrobial activity of copper sulphate and zinc sulphate on major mastitis causing bacteria in cattle

A study was undertaken on bovine mastitis in Ganderbal district of Kashmir valley so as to identify major mastitis causing pathogens and evaluate the antimicrobial efficacy of copper sulphate and zinc sulphate solutions in vitro on pure cultures of major mastitis causing pathogens. The major mastitis causing bacteria isolated from clinical cases were Staphylococcus (46.4%), Streptococcus (18.4%) and E.coli (14.4%). In-vitro antimicrobial property of copper sulphate and zinc sulphate was carried out using aqueous solutions of different concentrations of copper sulphate and zinc sulphate (2.5%, 5%, 7.5% and 10%). The antimicrobial property of copper sulphate and zinc sulphate was established and increase in zones of inhibition against each organism were found with increasing concentrations of these compounds. The zones of inhibition were compared with the standard antibiotic enrofloxacin. It is concluded that the use of these solutions as teat dips could prove beneficial in terms of efficacy and economy in comparison to conventional teat dips in prophylaxis of bovine mastitis.
Etude des mécanismes chimiques impliqués dans la complexation des mycotoxines par les composants de la paroi cellulaire de la levure Saccharomyces cerevisiae

Afin de limiter la biodisponibilite des mycotoxines dans le tractus digestif animal, des adsorbants a base de paroi cellulaire de Saccharomyces cerevisiae ont ete etudies. Parmi les composants parietaux, les betâ-D-glucanes sont responsables de la complexation de la zearalenone (ZEN, affinite de 50%) et impliquent un phenomene de cooperativite, defini par l'equation de Hill (R2=0. 969). L'adsorption est pH-dependante et fait intervenir majoritairement les betâ-(1,3)-D-glucanes, les betâ-(1,6)-D-glucanes stabilisant l'interaction. L'organisation spatiale des betâ-D-glucanes en structures helicoidales, etudiee par diffraction des rayons-X, est importante. La RMN et la modelisation moleculaire in silico ont permis d'impliquer des liaisons chimiques de types hydrogene et van der Waals et une forte homologie stucturale entre les betâ-D-glucanes et la ZEN. L'affinite des betâ-D-glucanes a ete demontree pour d'autres mycotoxines et depend de la presence de structures aflatoxines-, deoxynivalenol- ou ZEN-like
Adsorption of ciprofloxacin HCl from aqueous solution using activated kaolin

This study involves the determination of the adsorption capacity of activated kaolin for the removal of ciprofloxacin hydrochloride from aqueous medium. The kaolin was activated through chemical (HCl and HNO3) activation method, the adsorbent was characterize using Scanning electron microscopy (SEM) and Fourier transformed infrared spectroscopy (FTIR), the adsorption experiment was monitored using Ultra-violet visible spectrophotometer at maximum wavelength of 438 nm. The effect of concentration, pH, contact time and adsorbent dose were examined.
In Vitro Assessment of Antioxidant Activity, Total Phenolic and Flavonoid Contents of Sweet Marjoram (Origanum majorana L.) Extract

Sweet marjoram (Origanum majorana L.) is cultivated as a condiment for its aromatic leaves for culinary purposes and utilized as a medicinal plant for many diseases. The aim of this study was to evaluate in vitro antioxidant activity of marjoram extract by the 2, 2–diphenyl–1–picrylhydrazyl–hydrate (DPPH) free radical scavenging method while total phenolic and flavonoid contents were quantified by spectrophotometry using Folin−Ciocalteu and aluminum chloride colorimetric methods, respectively. The extraction yield of sweet marjoram obtained by maceration in absolute ethanol at a ratio of 1/5 (w/v) for 24h at room temperature was 8.41 ± 0.76 % (w/w). The obtained results showed that the investigated extract contained a higher amount of phenolics: 164.96 ± 4.61 mg GAE/g of dry plant, lower flavonoid contents: 44.61 ± 2.08 mg QE/g of dry plant, and exhibited a strong antioxidant activity (IC50 value: 40.09 μg/ml) almost like those of the used standard products, namely ascorbic acid and butylated hydroxytoluene (BHT). Based on the obtained results, marjoram (Origanum majorana L.) features a potential application as natural antioxidants that could be exploited by the pharmaceutical and food industries. Keywords— Antioxidant activity, DPPH, ethanolic extract, flavonoid contents, marjoram, phenolic
Opacities for Carbon Dwarfs and M Dwarfs

We have computed new opacity data for collision-induced absorption (CIA) of H2—H2 and H2—He, applicable to oxygen-rich and carbon-rich composi-tions, and updated existing line data. We have analyzed the combined effect of such data on the model atmospheric structure and the synthetic spectra of dwarfs and giants of various compositions.
Simultaneous Reclamation of Sago Starch Processing Effluent Water and Rhizopus oligosporus Cultivation at Different pH Conditions

Industrial sago starch extraction from the sago palm (Metroxylon sagu) generates large volumes of wastewater, known as sago effluent that is generally discharged into nearby water bodies without proper treatment. This practice has led to severe environmental pollution that prompts the development of biotechnological treatments of sago effluent. In this study, Rhizopus oligosporus was grown in sago effluent at several initial pHs (pH 4, 5, and 6) during submerged fermentation to determine the optimum pH for high protein fungal biomass (HPFB) production while simultaneously reducing the starch content and high organic loads of sago effluent. Our results showed that the growth of R. oligosporus was the highest (3.8 g/L) when the initial pH of the sago effluent was 4. The same pH also gave the best reduction of starch, biochemical oxygen demand and chemical oxygen demand of the sago effluent following the R. oligosporus fermentations, which were 96.70%, 89.81%, and 78.30%, respectively. In addition, nitrate concentration was found to be reduced from 0.266 to 0.257 g/L, while the nitrite level dropped from 0.040 to 0.029 g/L. The present findings presented the potential of R. oligosporus for the production of HPFB as well as for treating sago effluent.
Learning and equilibrium in misspecified models

We consider learning in games that are misspecified in that players are unable to learn the true probability distribution over outcomes. Under misspecification, Bayes rule might not converge to the model that leads to actions with the highest objective payoff among the models subjectively admitted by the player. From an evolutionary perspective, this renders a population of Bayesians vulnerable to invasion. Drawing on the machine learning literature, we show that learning rules that outperform Bayes’ rule suggest a new solution concept for misspecified games: misspecified Nash equilibrium.
Foraging behaviour of pollinators of turnip (Brassica rapa) in Kashmir Himalayas

The turnip (Brassica rapa) Family: Brassicaceae (mustard family), is widely used in Kashmir as vegetable. In Kashmir, it is a popular vegetable both among rich and poor and grown in almost all kitchen gardens and also as a commercial crop around cities and towns. Farmers always need quality seed for sowing, hence it was felt to study the insect pollinators of turnip which are responsible for proper pollination of the crop. The experiment was carried out at Urban Technological Park, Habbak, Division of Vegetable Science, SKUAST-K and the study was made on crop raised during Rabi season of 2017-2018. It was found 14 species of insects pollinators/visitors were recorded from turnip bloom, The 5 species belonged to Hymenoptera, 7 to Diptera, 2 to Lepidoptera. Hymenoptera was the most abundant order constituting 87.57% of total pollinators. Among the total pollinators, Lassioglossum marginatum was the most predominant constituting 35.46% of the total pollinators followed by A. cerana constituting 26.03%, A. mellifera which constitutes 16.45% and other pollinators contributing only 22.06%. The abundance of insect pollinators was the maximum at 10:00 to 11:00 hr, followed by 12:00 to 13:00 hr and was least at 14:00 to 15:00 hr recording 115.5, 73.3 and 1.6 total population of pollinators at the respective timings.
Exploring Preservice Teachers' Attitudes About the Usage of Educational Robotics in Preschool Education

Educational robotics have become popular worldwide with a broad range of students, including preschoolers. Although the impact of robotics technology in classrooms has been extensively studied, less is known about preschool teachers' perceptions of how robotics technology impacts learning and its relation to use in the classroom. This is problematic since we know that teachers' perceptions have a great influence on their teaching practices. This study used survey data gathered from 102 students of the Department of Preschool Education in a University in Greece. A questionnaire developed by the researchers were used as data collection tool. At the end of the study, it was determined that preservice preschool teachers' attitudes about educational robotics usage in preschool classrooms were positive although they lack in relevant knowledge. These findings are discussed with respect to their educational implications.
A closed-form approximation for pricing geometric Istanbul options

The concept of Istanbul options were first introduced by Michel Jacques in 1997. These derivatives products are considered as an extension of the Asian options. In this paper, we propose an analytical approximation formula for a geometric Istanbul call option (GIC) under the standard Black-Scholes model. Our approximate pricing formula is obtained in closed-form using a second-order Taylor expansion. We compare our theoretical results with those of Monte Carlo simulations using the control variates method. We also carry out a comparative price study with an arithmetic Istanbul call option. Finally, we study the effects of changes in the price of the underlying asset on the value of GIC.
Intelligent Condition-Based Monitoring of Rotary Machines With Few Samples

Recently, intelligent condition based monitoring systems build on deep learning methods have gained popularity. The success of these methods relies upon the large labeled training datasets, which are crucial to collect in industries. Therefore, building an effective fault diagnosis system becomes challenging. In this paper, a novel fault diagnosis framework is proposed to tackle the issue of limited samples in the training dataset. In the proposed framework, firstly, new training samples termed as synthetic samples are generated to increase the size of the dataset. After that, both original and synthetic samples are stacked, and the classifier model is trained. This study proposes a modified Conditional Variational Autoencoder (CVAE) to generate synthetic samples. In the proposed CVAE, centroid loss is added to the standard CVAE objective function. This loss directs generated samples to remain close with the centroid of their respective class, which helps in generating synthetic samples quite similar to the original samples. This paper also investigates the performance of proposed model in the presence of noise and effect of transformed data and original data. To verify the effectiveness of the proposed approach, the Air compressor and Case Western Reserve University datasets have been investigated. For the CWRU dataset with only 80 samples, accuracy of 96.39%, 99.58%, 98.33% was obtained using multilayer neural network, support vector machine, and RF classifiers respectively. Classification accuracy increased to 63.33% when modified CVAE is used instead of standard CVAE. Finally, a comparative analysis between proposed methods and other state-of-the-art methods has been presented.
Siderophore producing Pseudomonas spp. isolated from rhizospheric soil and enhancing iron content in Arachis hypogaea L. plant.

Pseudomonas aeruginosa PSA01 and Pseudomonas fluorescences PSF02 were isolated from rhizospheric of agriculture soil Salem district in Tamil Nadu, India, and confirmed species using biochemical test and molecular phylogeny. Both isolates proved to produce siderophore and solubilized phosphate. Pot experiment resulted to promote the growth of Arachis hypogaea. Inoculated PSA01 and PSF02 significantly increased in the root length, shoot length, fresh weight and dry weight, iron and oil content as compared to untreated control. Total chlorophyll and carotenoids content increased in treated plants. Dual culture technique showed a good biocontrol efficiency of PSF02 activity against Fusarium oxysporum. PGPR culture expressed plant growth potential and inhibited phytopathogen could be exploited as effective bioinoculant for sustainable farming of peanut.
Dual-Band Linearly and Circularly Polarized Unidirectional Hybrid Loop/Magnetoelectric Dipole Antenna With Single Feeding

A dual-band linearly polarized (LP) and circularly polarized (CP) unidirectional hybrid antenna is proposed in this article. The antenna consists of a cross slot antenna (CSA), a pair of vertical and horizontal metal plates, two side walls, and a cavity reflector, fed by a simple single feeding structure. In the lower frequency band, a loop antenna operating in <inline-formula> <tex-math notation="LaTeX">$1\lambda $ </tex-math></inline-formula> mode is formed by the ground of the CSA, a pair of horizontal plates, and two side walls, to generate the LP radiation. In the higher frequency band, the cross slot works as a magnetic dipole (M-dipole), while the horizontal plates work as an electric dipole (E-dipole). With the appropriate combination, the magnetoelectric (ME) dipole produces an inherent 90° phase difference for the two orthogonal <inline-formula> <tex-math notation="LaTeX">$E$ </tex-math></inline-formula>-fields to achieve CP radiation. The <inline-formula> <tex-math notation="LaTeX">$1\lambda $ </tex-math></inline-formula> modes of the M- and E-dipoles are excited to realize the wideband CP bandwidth. Simulation and measurement are used to study and design the hybrid antenna. The results show that the proposed antenna has an impedance bandwidth (IMBW) of 2.38–2.50 GHz (0.12 GHz, 4.9%) for the LP radiation, and an IMBW of 4.63–7.37 GHz (2.74 GHz, 45.7%) and 3 dB axial ratio bandwidth (ARBW) of 4.10–6.60 GHz (2.5 GHz, 46.7%) for the CP radiation. The radiation patterns at dual bands are stable toward the broadside, having peak gains of 5.75 dBi and 7.53 dBic within the low and high frequency bands.
A Comprehensive Review of DC Fast-Charging Stations With Energy Storage: Architectures, Power Converters, and Analysis

Electric vehicle (EV) adoption continues to rise, yet EV sales still represent a small portion of vehicle sales in most countries. An expansion of the dc fast-charging (DCFC) network is likely to accelerate this revolution toward sustainable transportation, giving drivers more flexible options for charging on longer trips. However, DCFC presents a large load on the grid, which can lead to costly grid reinforcements and high monthly operating costs—adding energy storage to the DCFC station can help mitigate these challenges. This article performs a comprehensive review of DCFC stations with energy storage, including motivation, architectures, power electronic converters, and detailed simulation analysis for various charging scenarios. The review is closely tied to current state-of-the-art technologies and covers both academic research contributions and real energy storage projects in operation around the world.
NPDCCH Period Adaptation and Downlink Scheduling for NB-IoT Networks

The third-generation partnership project (3GPP) has defined a new radio access network protocol, called the narrowband Internet of Things (NB-IoT). To accommodate devices with diverse signal qualities, the base station can flexibly adjust the lengths of the two important radio resources, the narrowband physical downlink control channel (NPDCCH) and narrowband physical downlink-shared channel (NPDSCH), to serve the devices under one coverage enhancement level. The interval between two consecutive NPDCCH is called an NPDCCH period. Given the NPDCCH period, the base station should allocate the two radio resources for the devices to receive downlink data. The NPDCCH period length and resource allocation significantly affect the radio resource utilization of NB-IoT networks. In this article, we investigate the NPDCCH period adaptation and the NB-IoT scheduling problem over NB-IoT networks. The objective is to minimize the consumed radio resource. We prove that the scheduling problem is $\mathcal {NP}$ -hard and cannot be approximated with a ratio better than 3/2. Then, we propose two algorithms based on our observations to solve the target problems and show that the proposed scheduling algorithm is a 2-approximation algorithm. The simulation results evaluate the efficacy of the proposed algorithms and provide useful insights into the NPDCCH period adaptation and scheduling design for NB-IoT networks.
High-Frequency Phase/Frequency Detectors: Analysis for Oscillation-Free Optimal I/O

Phase/frequency detectors (PFDs), equipped with blind zone (BZ) relieving delay elements (DEs), are studied. DE design guidelines for oscillation-free optimal PFD I/O characteristics, along with detailed validation, are presented. This PFD study is useful for the design of charge-pumped phase-locked loops (CP-PLLs) that employ high-frequency input clocks.