Miracle-dz/UniFAR-FTUs huggingface dataset:
A Constrained Non-Linear Model Predictive Controller for the Rotor Flux-Oriented Control of an Induction Motor Drive

Predictive controllers have been extensively studied and applied to electrical drives, mainly because they provide fast dynamic responses and are suitable for multi-variable control and non-linear systems. Many approaches perform the prediction and optimization process on-line, which requires a high computational capacity for fast dynamics, such as, for example, the control of AC electric motors. Due to the complexity of embedding constraints in controller design, which demands a high computational capacity to solve the optimization problem, off-line approaches are one of the choices to overcome this problem. However, these strategies do not deal with the inherent constraints of the drive system, which significantly simplifies the design of the controller. This paper proposes a non-linear and multi-variable predictive controller to control the speed and rotor flux of an induction motor, where the constraints are treated after the controller design. Besides dealing with the constraints of the electric drive system, our proposal allows increasing the stability of the system when the model does not incorporate disturbances and when parameter incompatibilities occur. Several computer simulations and experimental tests were performed to evaluate the behavior of the proposed controller, showing good performance to track the controlled variables under normal operating conditions, under load disturbances, parametric incompatibility, and at a very low rotor speed.
Assessment of weather and climate variability over the Western Harbor of Alexandria, Egypt

The climate system is a complicated system consisting of five major interacting components: the land surface, the biosphere, the atmosphere, the hydrosphere, and the cryosphere (IPCC, 2001). This system is influenced by various external forcing mechanisms, including different anthropogenic activities and solar radiation from the sun. There are two types of change in the climate system: climate change and climate variability: climate variability concerns changes that occur within smaller timeframes, ARTICLE INFO ABSTRACT Article History: Received: July 13, 2020 Accepted: July 28, 2020 Online: July 30, 2020 _______________
A new modular three-phase inverter based on sepic-cuk combination converter for photovoltaic applications

new modular dc/ac inverter based on a dual-winding isolated SEPIC/Cuk converter for medium and high power Photovoltaic (PV) applications is introduced. In this system, several current-source submodules (SMs) are connected in series to allow for additional voltage boosting. Each SM is designed as a combination of SEPIC/CUK converter to offer a flexible output range and continuous currents with small ripple at input and output sides. Furthermore, the SMs structure can generate different output voltage polarities. The main purpose of employing small-size highfrequency transformers are to (1) provide galvanic isolation, (2) eliminate PV grounding problems, (3) achieve minimum electromagnetic interference (EMI). The paper presents a description of the proposed topology and investigate its reliability performance in a PV grid-tied system using MATLAB simulations. An experimental prototype has been used and controlled by TMS32028335 DSP, as a proof of concept.
Health risk assessment of inorganic arsenic exposure through fish consumption in Yellowknife, Northwest Territories, Canada

Abstract Yellowknife, Northwest Territories, Canada, is located near two closed gold mines. Elevated arsenic concentrations reported in fish are a public health concern. We collected 180 samples of three species of commonly consumed fish in 2013–2018 and analyzed arsenic species, including inorganic arsenic (As(III) and As(V)), monomethylarsonate (MMA), dimethylarsinic acid (DMA), and arsenobetaine. The average total arsenic concentration in fish muscle tissue was 2.30 ± 1.72 µg/g dry weight, and that in burbot liver tissue was 3.16 ± 2.49 µg/g dry weight. Nontoxic arsenobetaine was the main arsenic species in fish muscle (mean = 58.6 ± 34.5%), whereas DMA was the predominant species in burbot liver (mean = 76.6 ± 21.6%). On average, inorganic arsenic species accounted for less than 20% of the arsenic detected in fish. Data on the consumption of locally caught fish were collected from 1611 residents in Yellowknife in 2017 and 2018, including 1417 general residents and 194 members of the Yellowknives Dene First Nation. We evaluated the health risks from inorganic arsenic exposure using Monte Carlo simulations. Our results indicated that there were negligible non-cancer health risks, and the cancer risk was below the baseline cancer risk level of arsenic exposure among the Canadian general population.
Plasma levels of paroxetine are not associated with the increase of serum levels of brain-derived neurotrophic factor in major depression

To the Editor: Brain-derived neurotrophic factor (BDNF) is associated with synaptic neuroplasticity and memory [1] and has been implicated in the pathophysiology of major depressive disorder (MDD) [2]. According to our meta-analysis, blood levels (serum and plasma levels) of BDNF are lower in MDD patients than in healthy subjects [3] Conversely, treatment with antidepressants increased peripheral BDNF levels [4]. We previously reported that serum BDNF levels in individuals who responded to paroxetine, significantly increased (2.6-fold) 8-weeks after treatment. This would suggest that paroxetine improved the depressive symptoms by increasing serum BDNF levels [5].
MicroRNAs miR-1 and miR-206 Regulate Monocarboxylate Transporter-4 and Vascular Endothelial Growth Factor Gene Expression in Colorectal Cancer

Background: Colorectal cancer (CRC) is currently the third most common cancer type in males and the second most occurring in females. The role of microRNA (miRNA) in the development of colorectal cancer is not fully elucidated. Therefore, understanding the mechanistic interaction between miRNA and their target oncogenes may hold great importance as a possible target for interventional anticancer therapy. Aims: To identify miRNAs that are part of the regulating pathway of Monocarboxylate Transporter-4 (MCT4) and Vascular Endothelial Growth Factor (VEGF) oncogenes. Study Design: We used publicly available prediction tools (e.g. TargetScan, MicroCosm, PicTar, and DIANA-microT-CDS) to identify the possible miRNA that target the two oncogenes. Methodology: We used the GeneMania database to visualize the network and verify gene names and remove ambiguity and duplications. Furthermore, we used miRTarBase database to identify experimentally validated targets which we used to further confirm miRNA-oncogene relationships. Finally, we utilized miR-Mfold web-tool to further visualize the circular structures and the simulated miR-1 and miR-206 targeting arrangements. Results: We found two putative miRNA (miR-1 and miR-206) that may downregulate MCT4 coded by SLC16A3 gene and VEGF which is coded by VEGF gene. We found relationships between the validated target genes of miR-1 and miR-206 through GeneMania which we extracted from the literature. And we elucidated the proposed structure of these two miRNAs through miR-Mfold web-tool. Conclusion: Our results elucidated a novel regulation pathway in CRC cells and may suggest a potential therapeutic approach for CRC therapy. MiR-1 and miR-206 may help cells go to apoptosis and inhibit the angiogenesis of colorectal cancer cells by down-regulation of MCT4 and VEGF proteins in tumor tissues.
An Empirical Study on the Ecological Economy of the Huai River in China

The Huai River is an important flood control and discharge river in the middle and east of China, and the development of ecological economy with regional advantages is significant for the protection and improvement of the resources and environment of the basin. On the basis of defining the connotation of an ecological economic system, this study constructed an index system, and it applied the methods of data envelopment analysis (DEA) and exploratory spatial data analysis (ESDA) to study the ecological economy of the Huai River. This study concluded that (1) the efficiency in most areas was efficient, but inefficient in a few areas; (2) the causes of inefficiency were unreasonable production scale and unqualified production technology, which led to redundant input of resources, insufficient output of days with good air quality, and excessive output of particulate matter with less than or equal to 2.5 microns in diameter (PM2.5); and (3) the efficiency was different in different regions, so it was necessary to respectively formulate and implement strategies for protection and development of resources and environment. The research results can be used as an important reference for formulating ecological economic policies around the world.
Computer simulation of knotted proteins unfold and translocation through nano-pores

We study the unfold and translocation of knotted protein, YibK and YbeA, through α-hemolysin nano-pore via a coarse grained computational model. We observe that knot of protein unfold in advance before the translocation take place. We also characterized the translocation mechanism by studying the thermodynamical and kinetic properties of the process. In particular, we study the average of translocation time, and the translocation probability as a function of pulling force F acting in the channel. In limit of low pulling inward constant force acting along the axis of the pore, the YibK knotted protein takes longer average translocation time as compare to YbeA knotted protein.
Molecular characterization, biofilm production and sensitivity to the natural extract of Staphylococcus spp. from subclinical mastitis in goats

Mastitis is one of the most important diseases in dairy milk systems. Molecular studies of the principal agents that are involved, as well as tests of bacterial sensitivity to plant extracts, are currently the most common forms of research related to this disease. The aim of the present study was to molecularly characterize isolates from cases of subclinical mastitis and to investigate the production of biofilm associated with extracts from Hymenaea martiana. The phytochemical screening of the crude ethanolic extract (CEE) confirmed the presence of phenolic substances, flavonoids, steroids and terpenoids. The antimicrobial susceptibility profile of the isolates that were assessed exhibited variations, with a notably high sensitivity to gentamicin. After the addition of the extract, 77.3, 81.8 and 86.3% of the isolates exhibited a reduction in biofilm production in the ethyl acetate, chloroform and hexane fractions, respectively. An extensive production of biofilm can be observed in the isolates that were not in contact with the natural extract. However, when in contact with the plant extract, there was a reduction in biofilm production, thereby demonstrating the therapeutic potential of the natural extract of H. martiana in mastitis caused by Staphylococcus spp. Key words: Mastitis, pathogens, resistance genes, sensitivity tests.
Neue Erkenntnisse zur Pathogenese des SLE und ihre Auswirkungen auf die Entwicklung neuer Therapie-Konzepte

Zusammenfassung Autoantikörper sind essentiell in der Pathogenese des SLE. Sie sind das Ergebnis einer Störung des erworbenen (adaptiven) Immunsystems mit fehlender Toleranz gegen Selbst. Eine Typ-I Interferon-Signatur, die im angeborenen (innaten) Immunsystem ihren Ursprung hat, ist ein wesentlicher Treiber dieser Störung. Autoantikörper können sowohl von kurzlebigen, proliferierenden Plasmablasten, die B-Zell-Hyperaktivität widerspiegeln, als auch von langlebigen, nicht-proliferierenden Gedächtnis-Plasmazellen sezerniert werden. Gedächtnis-Plasmazellen, die in Nischen im Knochenmark und im entzündeten Gewebe lokalisiert sind, lassen sich nicht durch konventionelle Immunsuppressiva und Therapien mit B-Zellen als Target eliminieren. Konzepte, die auf die Depletion von Gedächtnis-Plasmazellen abzielen, können im Zusammenspiel mit Targets, die eine Aktivierung von autoreaktiven B-Zellen verhindern, ein kuratives Potenzial haben.
Fake News Detection Methods: Machine Learning Approach

: Lots of stuff you scan online particularly in your social media feeds could seem to be true, typically isn’t. Fake news is news, stories or hoaxes that are created to intentionally mislead or deceive the readers. Usually, such kind of stories or news are created to either influence peoples views, some wrong belief for some political issue or cause confusion and might be a kind of money earning business for the online fake news publishers. Fake news stories will deceive individuals by looking like trustworthy internet sites or using similar names and web addresses of reputed news organisations. The widespread of fake news has the potential for terribly negative impacts on society and people. Therefore, fake news detection on social media has recently become a very crucial agenda that has attracted a lot of attention. Fake news detection on social media presents distinctive characteristics and challenges that make existing detection algorithms from ancient print media ineffective or not applicable. Machine learning is a method of analyzing data which automates analytical model building. It is one of the most important branches of artificial intelligence which is based on the idea that systems can learn from data, identifies the patterns and make decisions with minimal human intervention. ML can handle things like growing volumes and varieties of available data, have good computational processing that is cheaper and more powerful, and affordable data storage. All of the above things conclude that it’s possible to quickly and automatically produce models that can analyze bigger, more complex data and deliver faster with more accurate results. In this project, we have a huge dataset to analyze and train the model accordingly. So ML would be a very efficient and faster method to proceed in this project which will help in better development of the
Preservation of Vitamin C and Phenolic Compounds from Umbu (Spondias Tuberosa Arr. Cam.) via Spray Drying

Umbu is a tropical fruit with high content of bioactive compounds. However, maturation causes significant losses on nutrient density reducing the nutritional value of this highly appreciated fruit. Thus, the objective of the present work was to encapsulate the Umbu fruit bioactive compounds using spray drying and identify the variables affecting the biomolecules preservation. A Box-Behnken experimental design with 3 factors was set varying inlet temperature, atomization flow rate, and maltodextrin concentration for process otimization. Then the powder physicochemical and chemical properties were characterized, and results were modeled using a polynomial equation. Results revealed that the droplet size and maltodextrin concentration had a significant influence on the conservation of the biomolecules. Drying kinetics favoring fast formation of a particle crust increases encapsulation efficiency. Bioactive compounds retention was achieved by increasing maltodextrin even at high temperatures, where a matrix is formed hindering chemical degradation. Process optimization was validated and revealed low inlet temperatures (122oC), high atomization flow rate (5kg/h) and high maltodextrin concentration (20%) to be the most desirable conditions for bioactive compounds retention. Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 2 August 2020 doi:10.20944/preprints202008.0052. v1 © 2020 by the author(s). Distributed under a Creative Commons CC BY license. 2
Pseudomyrmex concolor Smith (Formicidae: Pseudomyrmecinae) as induced biotic defence for host plant Tachigali myrmecophila Ducke (Fabaceae: Caesalpinioideae)

1. Ants are recognized as induced biotic defence in mutualistic relationships with myrmecophytic plants. Pseudomyrmex concolor is an aggressive Amazonian ant that works as an anti‐herbivory agent for its host plant Tachigali myrmecophila. However, it is not known how this ant maintains the plant on low levels of herbivory.
Perception of Organizational Politics, Psychological Safety, and Work Efforts of Senior High School Teachers

Politics is a phenomenon that can be experienced wherever there are more than two people present, and schools or work organizations are no exceptions. This paper focuses on investigating the extent to which Ghanaian Senior High School teachers’ perceptions of organizational politics and psychological safety relate to each other, and how it influences the teachers’ work efforts. A cross-sectional research design was used, which involves 275 teachers conveniently sampled from public senior high schools in the Tamale Municipality of Ghana. Standardized self-report questionnaires were adapted to collect the data, and it was analyzed using standard multiple linear regression. The results indicated that perception of organizational politics is a significant predictor of self-report work efforts of Senior High School teachers, but psychological safety was not. The results further showed that all the three dimensions of politics perception measured in the study significantly predict work efforts. This is with general political behaviour being the most significant predictor. Curiously, psychological safety perception had a significant positive relationship with politics perception. The findings from the current study suggest that perception of workplace politics is a critical determinant of attitude and behaviour of individuals at work, including work efforts. Among others, the paper recommends that pragmatic measures must be put in place to minimize workplace politics and perception ofsame in order to enhance work efforts in the workplace.
Electromagnetics for Quantitative Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is based on radio frequency (RF) interrogation of the human body at frequencies between 40 and 300 MHz. An RF transmitter excites proton spin precession and then, in a manner analogous to an RF identification tag, the proton’s precessional ring down reports back local information about its environment. Here, we introduce the use of MRI as a quantitative measurement tool that employs electromagnetic (EM) transmit and receive channels to non-invasively probe inside objects such as the human body. Understanding the propagation of RF into the human body and how to manipulate and detect the nuclear spin probes provide methods to obtain quantitative measurements of local tissue properties and disease states. We present Bloch simulations describing how RF and magnetic gradient pulses can be used to control and manipulate nuclear spin dynamics and show how quantitative information can be obtained from MRI. We show how standard phantoms (imaging calibration structures) can be used to assess accuracy and variability of MRI-based measurements. We review MRI RF transmit and receive systems, measurement of the local proton relaxation times, the effect of complex EM material properties on images and MRI-based measurement of EM properties of complex materials (e.g., living humans).
Studies on Surfactant Adsorption at the Cellulose-Water Interface

The adsorption of anionic - sodium dodecylbenzenesulfonate (NaDBS), cationic – cetyl trimethyl ammonium bromide (CTAB) and nonionic - Triton X-100 (TX-100) surfactants under different conditions on cellulose-water interface are investigated and the adsorption results are compared with detergency of particulate and composite soil. The kinetics of adsorption of different surfactants on cellulose-water interface show that a cationic surfactant adsorbs rapidly and nonionic and anionic surfactants adsorb relatively slowly. The equilibrium time for cationic surfactant is less (~ 10 min) but higher for the anionic and nonionic surfactants (~ 1 hr). The cellulosic surface is shown to have dual sites of hydrophobic and hydrophilic in nature. It is shown that anionic and nonionic surfactant molecules mostly adsorb on the hydrophobic site, while cationic surfactant molecules mostly adsorb on the hydrophilic site. Anionic surfactant molecules in presence of salt adsorb onto both hydrophobic and .
Effortful Emotion Regulation as a Unique Form of Cybernetic Control

Emotion regulation is important for psychological well-being, yet we know relatively little about why, when, and how hard people try to regulate emotions. This article seeks to address these motivational issues by considering effortful emotion regulation as a unique form of cybernetic control. In any domain of self-regulation, emotions serve as indices of progress in regulation and inform the expected value of regulation. In emotion regulation, however, emotions also serve as the very target of regulation. This interdependence gives rise to ironic processes that may render people less likely to exert effort in emotion regulation, precisely when they need it most. The proposed analysis complements and extends existing theories of emotion regulation, sheds new light on available findings, carries implications for psychopathology and well-being, and points to new hypotheses that could lead to theoretical and applied advances in the field.
DDCI-01, a novel long acting phospdiesterase-5 inhibitor, attenuated monocrotaline-induced pulmonary hypertension in rats

Pulmonary arterial hypertension is a progressive, malignant heart disease, characterized by pulmonary arteriole remodeling and increased pulmonary vascular resistance, which eventually leads to right heart failure. This study sought to evaluate the effects of a novel long-acting phospdiesterase-5 inhibitor, namely DDCI-01, as an early intervention for monocrotaline-induced pulmonary hypertensive rats. To establish this model, 50 mg/kg of monocrotaline was intraperitoneally injected into rats. At Day 7 after monocrotaline injection, two doses of DDCI-01 (3 or 9 mg/kg/day) or tadalafil (at 3 or 9 mg/kg/day) were intragastrically administered. The rats were anesthetized with pentobarbital for hemodynamic and echocardiographic measurements, at Day 21 after monocrotaline injection. Compared to the monocrotaline group, DDCI-01 at 3 and 9 mg/kg/day (P) reduced the mean pulmonary arterial pressure (mPAP), right ventricular systolic pressure, right ventricular transverse diameter, pulmonary arterial medial wall thickness (WT%), and right ventricle hypertrophy. However, no significant difference in the indices mentioned as above was found between DDCI-01 (3 mg/kg/day) and tadalafil (3 mg/kg/day). In addition, DDCI-01 at 9 mg/kg/day resulted in lower mPAP and WT%, as well as higher cyclic guanosine monophosphate levels in the lung and plasma compared with the same dose of tadalafil (9 mg/kg/day) (all P < 0.05). These findings suggested that DDCI-01 improved monocrotaline-induced pulmonary hypertension in rats, and a dose of DDCI-01 of 9 mg/kg/day might be more effective than the same dose of tadalafil in monocrotaline-induced pulmonary hypertension in rats.