Miracle-dz/UniFAR-FTUs huggingface dataset:
Enhanced Anti-E. coli ST131 Metabolites Production by a Novel Streptomyces sp. CMB51 Strain Isolated from a Coal Mininig Soil Using Statistical Optimization

Abstract Actinobacteria strains isolated from coil mining soil of Bechar region, Algeria, were evaluated for their antimicrobial potential against pathogenic germs particularly against uropathogenic multiresistant Escherichia coli ST131. Of the 119 isolates, 82 exhibited potent antimicrobial properties. The strain that showed maximum inhibition against E. coli ST131 was further screened toward nine bacterial pathogens and identified based on morphological, physiological and 16S rRNA gene sequencing. The isolate was related to the genus Streptomyces with 99.46% sequence similarity to Streptomyces klenkii strain S2704T and assigned as Streptomyces sp. CMB51. To achieve maximum metabolites production, significant process parameters were optimized through response surface methodology employing Plackett–Burman and Central Composite designs. In PBD experiments, starch and casein concentrations, incubation time and initial pH value emerged as the most significant affecting the output of anti-E. coli ST131 activity. The composition of the final optimized medium was soluble starch concentration of 5.31 g/L, casein concentration of 0.45 g/L, 3 days incubation time and 8.41 initial pH value. The optimization resulted an antibacterial activity of 13 mm which was in close accordance with the predicted value of 13.60 mm recording 18.18% increase. The chosen method was efficient for further investigations of the production of anti-E. coli ST131 metabolites.
Dual Rotor Axial Flux Permanent Magnet Motor using PCB Stator

This paper presents a framework for the design and analysis of a light and low-cost axial flux permanent magnet motor which consists of dual permanent magnet rotors and a coreless Printed Circuit Board stator. Removal of the conventional laminated stator core significantly reduces core losses, decreases cogging and torque ripple and increases efficiency. The proposed design drastically eliminates magnetic forces between the rotor and the stator as well as the torque ripple, hence reduces the acoustic noise. A fully integrated variable frequency drive is proposed which uses high efficiency silicon carbide MOSFET inverter design. Using Printed Circuit Board stator enables simpler and faster manufacturing. An in-house analytical simulation has been used to model the motor design and evaluate the performance. The proposed design has been manufactured and was tested successfully. Finally, the test results are compared with the simulation results as well as finite element analysis.
Tropical Important Plant Areas, plant species richness and conservation in the British Virgin Islands

The global loss of biodiversity is a pressing and urgent issue and halting loss is the focus of many international agreements and targets. However, data on species distribution, threats and protection are limited and sometimes lacking in many parts of the world. The British Virgin Islands (BVI), part of the Puerto Rican Bank Floristic Region in the Caribbean Biodiversity Hotspot, is rich in plant diversity and regional endemism. Despite the established network of National Parks in the BVI and decades of botanical data from international collaboration between the Royal Botanic Gardens, Kew and the National Parks Trust of the Virgin Islands, there was a need for consolidated data on species distribution across the archipelago and national lists for threatened and rare plants of conservation concern. The process of identifying the network of 18 Tropical Important Plant Areas (TIPAs) in the BVI, completed in 2018, delivered national lists and accurate data for all 35 Species of Conservation Concern. These data (3688 georeferenced records) are analysed here to reveal species distribution across the archipelago, within the TIPAs network and the National Parks System. The TIPAs network contained all 35 Species of Conservation Concern and 91% of all the records, as expected. Ten out of the 21 National Parks had one or more of the species present. Most species occur across the archipelago, while some are restricted range and/or endemics. These new data will help management of plant conservation efforts and resources in the BVI, contributing to the revision of the Protected Areas System Plan and local environmental policies and have relevance to the wider Caribbean Region.
Analysis of Gray Scott’s Model Numerically

In this paper, a two-dimensional nonlinear coupled Gray Scott system is si-mulated with a finite difference scheme and a finite volume technique. Pre and post-processing lead to a new solution called GSmFoam by understand-ing geometry settings and mesh information. The concentration profile changes over time, as does the intensity of the contour patterns. The OpenFoam solver gives you the confidence to compare the pattern result with efficient numerical algorithms on the Gray Scott model.
Associations between radiographic parameters in the reverse shoulder arthroplasty and patient outcomes

Background Various radiological parameters have been measured in the Reverse Shoulder Arthroplasty (RSA) and correlated to patient outcomes, to determine best baseplate position. Results remain unclear with respect to certain parameters such as inferior baseplate tilt. We have investigated our series of patients to clarify the relationship between radiological parameters and patient outcomes. Methods We conducted a UK based bi-centre retrospective review of 156 prostheses. Critical shoulder angle (CSA), RSA angle (RSAA), Overhang and Deltoid Lever Arm (DLA) were measured on preoperative and postoperative radiographs. Range of motion and Oxford Shoulder Score (OSS) (range 1–8 years) were obtained. We assessed for scapular notching at minimum 1 year follow up (n = 138). Results Decreased postoperative CSA and increased DLA were associated with higher OSSs (P = 0.001 and 0.019). Increased overhang and DLA were associated with increased flexion (P = 0.033 and 0.024 respectively). Multivariate analysis showed that CSA and DLA affected notching rate (P = 0.002 and 0.007). Conclusions Baseplate tilt in relation to the acromion (CSA) and DLA are the most predictive parameters for notching and OSS. We recommend considering a maximum CSA of 26 degrees to decrease notching rate and improve OSS. We recommend considering an Overhang of at least 6 mm to improve FF.
The prediction research of steam reheating temperature in power plants based on LS-SVM

Steam reheating system is emerging as a multivariable system with steam-steam exchanger, the strong coupling and time delay characteristics. The traditional approach for the predictive control in power plant requires modeling based on accurate mathematical model, and some multivariate statistical algorithm cannot avoid falling into the over-fitting, therefore these approaches is not suitable for prediction of the reheating temperature in power plants. In this paper, we used the least squares support vector machine (LS-SVM) regression algorithm to predict the temperature of the steam reheating in the power plant combined with the data set of the steam reheating in a 120MW power plant. Comparing with the existing algorithms, the result shows that the LS-SVM is a robust and reliable tool for prediction in engineering application field.
Reclaiming the narrative: gendered Islamophobia, its impacts and responses from Muslim women

ABSTRACT With the growing rise of Islamophobia in Canada, this study looks at Muslim women's experiences of Islamophobia, how they are impacted and how they respond to Islamophobia in the Canadian context. It also explores how Muslim women feel about being Muslim in Canada in relation to their identities. This study was conducted through individual semi-structured interviews with five Muslim women in the greater Toronto area. Findings from this study reveal how Muslim women experience a hypervisibility of their Muslim identity and how this shapes the way they regulate themselves in public. Muslim women in this study speak about how they are seen as Un-Canadian by others and share about the community-wide impacts of Islamophobia. Findings from this study demonstrate how Muslim women respond to Islamophobia in several different ways including activism, spreading awareness in the media and connecting more with the larger community. A key finding of this study includes how Muslim women describe their resilience and continue to persevere in the face of Islamophobia, thereby generating counter-narratives to dominant stereotypical tropes.
Pneumonia detection based on transfer learning and a combination of VGG19 and a CNN Built from scratch

In this paper, to categorize and detect pneumonia from a collection of chest X-ray picture samples, we propose a deep learning technique based on object detection, convolutional neural networks, and transfer learning. The proposed model is a combination of the pre-trained model (VGG19) and our designed architecture. The Guangzhou Women and Children's Medical Center in Guangzhou, China provided the chest X-ray dataset used in this study. There are 5,000 samples in the data set, with 1,583 healthy samples and 4,273 pneumonia samples. Preprocessing techniques such as contrast limited adaptive histogram equalization (CLAHE) and brightness preserving bi-histogram equalization was also used (BBHE) to improve accuracy. Due to the imbalance of the data set, we adopted some training techniques to improve the learning process of the samples. This network achieved over 99% accuracy due to the proposed architecture that is based on a combination of two models. The pre-trained VGG19 as feature extractor and our designed convolutional neural network (CNN).
Pricing strategy and product substitution of bullwhip effect in dual parallel supply chain: aggravation or mitigation?

The bullwhip effect (BE) affects not only the revenue of the retailer but also the revenue of the manufacture. Thus, a lot of retailers and manufacturers aim to attenuate the negative impact of the BE. In this research, two parallel supply chains distributing two substitutable products with price-sensitive demands are considered, the order-up-to inventory policy, as well as the MMSE forecasting method, are employed by retailers in these chains. The retailer’s price-setting follows the first-order vector autoregressive process, suggesting that its pricing decision depends on its previous price as well as its rival’s price, owing to the BE. The analytical expression of the BE is calculated by the statistical method. Besides, the effects of pricing strategy and product substitution on the BE are studied through simulation. A conclusion can be drawn that the BE of the two parallel supply chains will be affected by lead time, product substitution rate, and pricing coefficient. Of particular interest is that the BE can be efficiently alleviated by adopting a price strategy with many correlations and a small coefficient of autocorrelation.
Investigation of defect levels in Bi12SiO20 single crystals by thermally stimulated current measurements

Bi12SiO20 (BSO) single crystal belongs to the sillenite semiconducting family known as defective compounds. The present paper investigates the defect centers in BSO grown by Czochralski method by means of thermally stimulated current (TSC) measurements performed in the 10–260 K range. The TSC glow curve obtained at heating rate of β = 0.1 K s−1 presented several peaks associated with intrinsic defect centers. The activation energies of defect centers were revealed as 0.09, 0.15, 0.18, 0.22, 0.34, 0.70 and 0.82 eV accomplishing the curve fit analyses method. The peak maximum temperatures and orders of kinetics of each deconvoluted peak were also determined as an outcome of fitting process. TSC experiments were expanded by making the measurements at various heating rates between 0.1 and 0.3 K s−1 to get information about the heating rate dependent peak parameters.
Broadband shorted patch antenna with monopole‐like radiation patterns

The design of a shorted square patch antenna with broadband operation is presented. By placing an additional shorting wall at the edge of a planar inverted‐F antenna (PIFA) with a U‐shaped slot, the antenna can provide stable monopole‐like conical radiation patterns within the operating bandwidth. An antenna prototype designed for IEEE 802.11a band is completed and tested. The measured results show the 10 dB impedance bandwidth of more than 30% can be obtained while the side length of the square patch is about 0.3 free‐space wavelengths and the antenna height is less than 0.08 free‐space wavelengths. © 2006 Wiley Periodicals, Inc. Microwave Opt Technol Lett 48: 1704–1707, 2006; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.21753
Factors Associated with COVID-19 Vaccine Hesitancy among Visible Minority Groups from a Global Context: A Scoping Review

Vaccine hesitancy is one of the top ten greatest threats to global health. During the COVID-19 era, vaccine hesitancy poses substantial risks, especially in visible minorities, who are disproportionately affected by the pandemic. Although evidence of vaccine hesitancy exists, there is minimal focus on visible minorities and the reasons for hesitancy in this group are unclear. Identifying these populations and their reasons for vaccine hesitancy is crucial in improving vaccine uptake and curbing the spread of COVID-19. This scoping review follows a modified version of the Arksey and O’Malley strategy. Using comprehensive search strategies, advanced searches were conducted on Medline, CINAHL, and PubMed databases to acquire relevant articles. Full-text reviews using inclusion and exclusion criteria were performed to extract themes of vaccine hesitancy. Themes were grouped into factors using thematic qualitative analysis and were objectively confirmed by principal component analysis (PCA). To complement both analyses, a word cloud of titles and abstracts for the final articles was generated. This study included 71 articles. Themes were grouped into 8 factors and the top 3 recurring factors were safety and effectiveness of the vaccine, mistrust, and socioeconomic characteristics. Shedding light on these factors could help mitigate health inequities and increase overall vaccine uptake worldwide through interventions and policies targeted at these factors. Ultimately, this would help achieve global herd immunity.
A new bipolar extraction tool for wide range of device behaviours

The recent development of BiCMOS and advanced bipolar and merged bipolar CMOS and DMOS technologies requires the enhancement of both models and parameter extraction strategies for the bipolar device. In order to take into account special behavior such as the base push-out effect or the nonideal base current, new features have been added to the classical SPICE BJT (bipolar junction transistor) model. A flexible software tool has been developed to allow the use of different parameter extraction schemes suitable for a wide range of device behaviors. Experimental validations have been performed in DC analysis. The RMS (root mean square) error on current gain is less than 2%. <<ETX>>
Stabilization models and structures for move of very maneuverable flying objects

One presents a dynamic model of the very maneuverable flying objects (A), which expresses the dependence between the vector formed by angles of A regarding aerodynamic trihedron and the vector of angular velocities of A or the vector of linear acceleration components with respect to the trihedron related to A. Also, leading structures (stabilization of movement) are presented. These are made by control loops after angles, angular velocities and linear accelerations and an adaptive control loop with neuronal network for dynamic inversion errors compensation of the non-linear function which describes unknown system of the dynamic model of A. Adaptive command is projected upon stability theory using a Liapunov function.
Dispersion characteristics of a rectangularly corrugated cylindrical slow-wave structure driven by a non-relativistic annular electron beam

The dispersion relation of a rectangularly periodic cylindrical slow-wave structure (SWS) with an annular electron beam of energy <100 keV and current around 200 A has been derived and solved numerically. This type of system is typically used in backward wave high-power microwave devices and linear accelerators. The dispersion relation is analysed for both the cold structure (for zero beam current) and structure with an annular beam. The cold structure dispersion relation is characterised by the real value of frequency and wavenumber. When an electron beam propagates through the structure and the beam energy and current are sufficient to produce instability, microwave radiation results. The strength of this radiation can be qualitatively approximated from the temporal growth rate of the instability, which is defined by the imaginary values of the frequency corresponding to the complex conjugate roots of the dispersion relation. The temporal growth rate for various beam parameters has been calculated. The proposed SWS is very easy to be fabricated and can be used in the real experiments for generating high-power microwaves
High genetic diversity of bivalve transmissible neoplasia in the blue mussel Mytilus trossulus Gould from the subarctic Sea of Okhotsk

There are increasing findings of the bivalve transmissible neoplasia derived from the Pacific mussel Mytilus trossulus (MtrBTN) in populations of different Mytilus species worldwide. The Subarctic is an area where this disease has not yet been sought despite the fact that Mytilus spp. are widespread there, and M. trossulus itself is a boreal species. We used cytological and histological techniques to diagnose disseminated neoplasia in a sample of M. trossulus from Magadan in the subarctic Sea of Okhotsk. Neoplasia was identified in 11 of 214 mussels studied. Using mtDNA COI sequencing, we revealed genotypes identical or nearly identical to known MtrBTN ones in the hemolymph of most of the diseased mussels. Both MtrBTN evolutionary lineages have been identified, the widespread MtrBTN2, and MtrBTN1, so far only known from M. trossulus in British Columbia on the other side of the Pacific from Magadan. In addition, MtrBTN2 was represented by two common diverged mtDNA haplolineages. These conclusions have been confirmed for selected cancerous mussels by molecular cloning of COI and additional nuclear and mtDNA genes. On the background of high genetic diversity, different cancers were similar in terms of ploidy (range 4.0 - 5.8n) and nuclear to cell ratio. Our study provides the first description of neoplasia and MtrBTN in mussels from the Sea of Okhotsk and from the Subarctic, of both MtrBTN1 and MtrBTN2 in the same mussel population, and the first direct comparison between these transmissible cancers.
Space-based laser active imaging simulation system based on HLA

This paper adopts the High Level Architecture to develop the space-based laser active imaging distribution simulation software system, and designs the system framework which contains three-step workflow including modeling, experimental and analysis. The paper puts forward the general needs of the simulation system first, then builds the simulation system architecture based on HLA and constructs 7 simulation federal members. The simulation system has the primary functions of space target scattering characteristic analysis, imaging simulation, image processing and target recognition, and system performance analysis and so on, and can support the whole simulation process. The results show that the distribution simulation system can meet the technical requirements of the space-based laser imaging simulation.
Performance of multiuser scheduling in free space optical systems over atmospheric turbulence channels

In this study, the authors consider a multiuser multiple-input multiple-output (MU-MIMO) free space optical (FSO) communication system and investigate the performance of various scheduling protocols which provide different degrees of tradeoff between throughput and fairness. In the MU-MIMO FSO system under consideration, the central node and each user node are equipped with multiple transmit and receive apertures and equal gain combining is employed at the receiver side. Round robin, opportunistic round Robin, select-max and mth best user selection scheduling protocols are employed. The authors derive closed-form outage probability expressions for each scheduling protocol over log-normal turbulence channels assuming non-equidistant placement of users. The authors further present Monte Carlo simulations to confirm the accuracy of derived expressions.
A Survey on Attack Detection Methods For IOT Using Machine Learning And Deep Learning

The Internet of Things (IoT) models are getting more complicated day by day with the rising demand in IoT automated network system. As the devices use wireless medium for broadcasting the data, it is easy to target for an attack. Due to the addition of different protocols in IoT, lakhs of attacks are emerging every day, which often provokes the computing process worsen, unstable, non-effective as well. In the local network, the normal communication attack is restricted to small local domain or local nodes. However, the attack present in IoT devices gets expanded to a large area that would cause destructive effects. The heterogeneity, distribution of IoT services/applications make the security of IoT a more challenging and complex one. Implementing security measures, such as encryption, authentication, access control, network security and application security, for IoT devices and their inherent vulnerabilities is ineffective. Thus, existing security techniques should be improved to secure the IoT environment viably. (ML/DL) have progressed impressively throughout the most recent couple of years, and machine intelligence has transitioned from laboratory curiosity to practical machinery in various significant applications. The objective of this work is to give a thorough study of ML techniques and ongoing advances in DL methods that can be utilized to create upgraded attack detection models for IoT frameworks. We discuss the features and research gaps for each method in applying Machine learning and deep learning to IoT security.
Dynamics of incomplete ionized dopants and their impact on 4H/6H-SiC devices

The influence of incomplete ionization of dopants in 4H/6H-SiC on transient device behavior has been investigated numerically based on a self-consistent solution of the coupled system of Poisson's equation, the continuity equations of electrons and holes, and balance equations for each donor or acceptor level. If the rise time of a reverse bias pulse is equal or smaller than the characteristic ionization time constant, a dynamically enlarged extension of depletion regions is obtained which can result in a dynamic punchthrough (PT) within back-to-back junction configurations. The respective time constants of nitrogen (N), aluminum (Al), and boron (B) mere measured as functions of temperature in 4H- and 6H-SiC using thermal admittance spectroscopy (AS) and deep level transient spectroscopy (DLTS). At room temperature, for instance, we obtained 60 ps/2 ps, 300 ps/10 ps, and 100 ns/100 ns for N (cubic site), Al, and B in 4H/6H-SiC, respectively. As the time constants of N and Al are small, transient incomplete ionization turns out to be negligible, at least within today's high-power device operation areas. Boron, on the other hand, influences significantly the dynamic device characteristics. In order to demonstrate the implications of these effects, numerical device simulations of a 6H-SiC double-implanted MOSFET and a 4H-SiC thyristor were performed. These simulations allow a detailed analysis of the transient device behavior and the onset of dynamic PT which strongly depends on temperature, structure parameters, and the external excitation.