Miracle-dz/UniFAR-FTUs huggingface dataset:
GABOR TRANSFORM IN QUANTUM CALCULUS AND APPLICATIONS

In this work, using the q-Jackson integral and some elements of the qharmonic analysis associated with zero order q-Bessel operator, for a flxed q 2]0;1[, we study the q analogue of the continuous Gabor transform associated with the q-Bessel operator of order zero. We give some q-harmonic analysis properties (a Plancherel formula, an L 2 (Rq;+;xdqx) inversion formula, etc), and a weak uncertainty principle for it. Then, we show that the portion of the q-Bessel Gabor transform lying outside some set of flnite measure cannot be arbitrarily too small. Finally, using the kernel reproducing theory, given by Saitoh [13], we give the q analogue of the practical real inversion formula for q-Bessel Gabor transform.
Determinants of stunting among children under age five in Burundi: Evidence from the 2016–2017 Burundi Demographic and Health Survey (BDHS 2016–17)

Abstract Burundi has one of the highest prevalence of stunting in the world. This study aimed to identify determinants of stunting among children under age five in Burundi. A total of 4993 children with anthropometric measurements from the 2016–2017 Burundi Demographic and Health Survey were included in the study. Stunting was assessed from the height‐for‐age Z‐scores (HAZ). Logistic regression models were analyzed to identify demographic, maternal, child‐related, and structural variables that influence stunting. In total, 56.9% of children under age five were stunted, of those 31.0% moderately and 25.9% severely. Multivariable logistic regression indicated that older children, male children (adjusted OR (aOR) = 1.41, 95% CI 1.24–1.61), and children who were perceived as small (aOR = 2.00, 95% CI 1.55–2.59) or very small at birth (aOR = 2.37, 95% CI 1.57–3.59) were significantly more likely to be stunted. Moreover, children of single mothers, with lower levels of education, who were underweight at the time of the survey (aOR = 1.95, 95% CI 1.42–2.68), who had short stature (aOR = 3.76, 95% CI 2.50–5.66) or who conceived more than four children (aOR = 1.22, 95% CI 1.05–1.42) were more commonly stunted. Stunting was more prevalent in rural areas (aOR = 2.53, 95% CI 1.72–3.73) and in households with no access to improved types of toilet facilities (aOR = 1.27, 95% CI 1.10–1.45). The results of this study show that the prevalence of stunting in children under age five in Burundi is alarmingly high and underscores the urgent need for decisive and determined action.
Estimating spectral reflectance from camera responses based on CIE XYZ tristimulus values under multi‐illuminants

A new spectral reflectance estimation method based on CIE XYZ values under multi-illuminants was proposed to obtain multi-spectral images accurately by using digital still cameras. CIE XYZ values under multi-illuminants were initially predicted from raw RGB responses by using a polynomial model with local training samples. Then, spectral reflectance was constructed from the predicted CIE XYZ values via the pseudo-inverse method. Experimental results indicated that the new spectral reflectance estimation method significantly outperformed the traditional colorimetric characterization method without requiring extra training samples or greatly increasing computational complexities. © 2016 Wiley Periodicals, Inc. Col Res Appl, 2016
Incremental constructive extreme learning machine

Focusing on the problem of architectural design of extreme learning machine(ELM),we propose a novel constructive algorithm by the activation function and its derivatives.Firstly,taking the Sigmoid function as an example,we give in detail the derived characteristics for a class of base functions:derivative functions can be expressed by their primitive functions.By making use of these derived characteristics,we propose a method to design the structure of ELM,which automatically generate feedforward neural networks with double hidden layers.The new units in the first hidden layer are generated randomly one by one; then,the outputs of the second hidden layer(derivation) are calculated by the activation function of the new node in the first layer and its derivatives.The weights of the output layer are calculated analytically by the least squares method.Finally,the analysis of convergence and stability are presented.The effectiveness of the proposed method is demonstrated by simulation results on nonlinear system identification and two-spiral classification problem.
Zinc-induced enhancement in growth, ionic contents and yield of bio-fortified and standard wheat (Triticum aestivum L.) varieties

Zinc as a micronutrient is highly essential for animals and plants to attain optimum growth and development. Zinc-deficient soils result in stunted and abnormal growth of plants. Three wheat varieties, i.e., Zincol-2016 (biofortified), Galaxy-2013, and Punjab-2011 (both non-biofortified), were sown in pots containing fertile soil in a completely randomized design with four replicas. The seedlings were sprayed with four zinc solutions (Control, 0.03%, 0.06%, and 0.09% of Zn as ZnSO4.7H2O) 40 days after sowing. It was observed that the impact of 0.06% zinc spray was more pronounced on wheat plants as compared to that of 0.03% and 0.09%. More pronounced improvement in growth, chlorophyll content, total soluble proteins, and sugars was observed in cv. Zincol-2016 as compared to that in the other two varieties, Galaxy-2013 and Punjab-2011. Similarly, Zn foliar spray significantly enhanced root, straw, and grain K+, Cu2+, Zn2+, and Fe2+ contents in all three cultivars. In contrast, grain phytate contents were reduced with increased supplementation of Zn. Data revealed that grain yield was improved significantly by exogenous application of zinc, especially at 0.06% in all three wheat varieties, but being more promising in Zincol-2016. Furthermore, Zincol-2016 accumulated higher zinc contents in grains as compared to that in Galaxy-2013 and Punjab-2011. Foliar application of zinc resulted in higher uptake and accumulation of this element from soil to seeds, thereby resulting in improved vegetative growth.
TIME-FREQUENCY ANALYSIS OF EARTHQUAKE RECORDS

1 CICESE, Seismology Dep, Ensenada, Mexico & University of Texas at Austin Civil Engineering Dep. m-huerta@mail.utexas. edu 2 University of Texas at Austin, Electrical and Computer Engineering Dep. , Austin, TX USA. june@ece.utexas. edu 3 University of Texas at Austin, Electrical and Computer Engineering Dep. , Austin, TX USA. ejpowers@mail.utexas. edu 4 Texas A&M University, OTRC & Department of Civil Engineering. College Station, TX USA. jroesset@tamu.edu TIME-FREQUENCY ANALYSIS OF EARTHQUAKE RECORDS
Document Image Binarization Method That Compromises Between Global and Local Thresholding Techniques and Automates the Free Parameter Selection

Image binarization is an important step in many applications. With the existence of new imaging devices such as smart phones, the types of application become wider. Image binarization is the process of finding the proper image pixels threshold. Threshold methods can be grouped into two main categories: global and local. Local thresholding produces good binary images but is time consuming, which may not be appropriate for some imaging applications. On the other hand, global thresholding is fast but does not produce the target accuracy. In this article, a simple yet efficient method is presented. It is a mixture of global and local thresholding. It can be classified as local thresholding. However, it does not require calculations based on each pixel in the given image. It also automates the choice of thresholding free parameter. The resulting performance is comparable to the best of the existing methods and is faster than many of them. Keywords: image binarization, image thresholding, pixel classification.
UNCERTAINTY QUANTIFICATION USING MEASURED VIBRATION DATA

A typical uncertain vibration analysis is the determination of the statistics of the natural frequencies given the statistics of a set of uncertain parameters (such as material properties or geometric dimensions). This is referred to as the forward uncertainty propagation problem and well established methods are available to solve it, such as the Monte Carlo method and the perturbation method. The knowledge of the uncertain parameters distribution is a precondition to apply any of the referred methods. In some cases it may be possible to directly measure samples of the uncertain parameters but quite often is easier to measure the output quantities. The uncertain parameters statistics could then be inferred and modelled from those measurements, and that knowledge could be applied to new problems. This is the uncertainty identiflcation, here seen as the reverse problem of estimating the uncertain parameters distribution from measured vibration data. A robust and e‐cient method for the uncertainty quantiflcation is presented, which results from applying the maximum likelihood estimation of the uncertain parameters distribution to the existing forward uncertainty propagation methods. A cantilever beam with a point mass at an uncertain position is used as example.
Advance Care Planning Website for People With Dementia and Their Family Caregivers: Protocol for a Development and Usability Study

Background Web-based tools for people with dementia and their family caregivers have considerably increased over the years and offer promising solutions to several unmet needs such as supporting self-care in daily life, facilitating treatment delivery, or ensuring their ability to communicate. The use of web-based tools in the field of advance care planning (ACP) for people with dementia and their family caregivers has yet to be explored and requires careful consideration, given the sensitive topic and the specific needs of people with dementia and their families. Objective This paper reports the protocol for a study aiming to develop and simultaneously test the usability of an ACP website designed for, and with, people with dementia and their families. Methods The development of the website is based on a process map for the development of web-based decision support interventions and on the Medical Research Council framework for complex intervention development and evaluation. Additionally, we apply a user-centered approach in combination with patient and public involvement (PPI) throughout the development process. We describe our iterative development approach to the website. Participants and a PPI group give feedback on 4 prototypes of the ACP website. For each iteration, we aim to include 12 participants (3 people with dementia, 3 family caregivers, and 3 dyads) in usability testing. In the first 3 iterations, usability testing includes (1) a think-aloud exercise, (2) researcher observations, and (3) the System Usability Scale questionnaire. The last iteration of usability testing is composed of a semistructured interview assessing the layout, content, face validity, and readability of the website. Qualitative data from the think-aloud exercises and interviews are analyzed using thematic analysis. Mean scores are calculated for the System Usability Scale questionnaire. Results This study received approval from the Ethical Review Board of Brussels University Hospital of the Vrije Universiteit Brussel. Recruitment began in October 2021. The target date for paper submission of the results of the development and usability testing will be in 2023. Conclusions The methods in this protocol describe a feasible and inclusive approach to the development of an ACP website together with people with dementia, their family caregivers, and other stakeholders. We provide a clear overview of how to combine PPI input and user-centered development methods, leading to a transparent and reliable development process. This protocol might stimulate the active participation of people with dementia, their caregivers, and regional stakeholders in future studies on web-based technologies. The results of this study will be used to refine the design and create a relevant and user-friendly ACP website that is ready to be tested in a larger evaluation study. International Registered Report Identifier (IRRID) DERR1-10.2196/46935
Real-Time Low-Level Wind and Temperature Analysis Using Single WSR-88D Data

A four-dimensional variational Doppler radar analysis system (VDRAS) has been developed and implemented at a weather forecast office to produce real-time boundary layer wind and temperature analyses using WSR88D radar data. This paper describes significant changes made to convert VDRAS from a research tool to a real-time analysis system and presents results of low-level wind and temperature analysis using operational radar data. In order to produce continuous analyses with time, VDRAS was implemented with a cycling procedure, in which the analysis from the previous cycle is used as a first guess and background for the next cycle. Other enhancements in this real-time system include direct assimilation of data on constant elevation angle levels, addition of mesonet observations, inclusion of an analysis background term, and continuous updating of lateral boundary conditions. An observed case of a line of storms and strong outflow is used to examine the performance of the real-time analysis system and its sensitivity to various system changes. The quality of the analysis for this case is examined by comparing the subsequent 90-min forecast with the observed radial velocity. It is shown that the forecast initialized using the VDRAS analysis outperforms persistence and a forecast using a mesoscale analysis. The accuracy of the retrieved wind in six convective cases is also verified against automated weather reports from commercial aircraft data. The verification shows an average difference of 3.3 m s21 over these six cases.
Metabolites Profiling and Antimicrobial Activity of Actinobacteria Associated with Plants Collected from Thumama in Riyadh Region Saudi Arabia

Plants are emerging as a vital source of microbial diversity and, therefore, of bioactive secondary metabolites. This study aimed to metabolomes profiling and invistigate the antimicrobial activity of actinobacteria associated with plants collected from thumama desert in Riyadh region, Saudi Arabia. Assessment of the antimicrobial potential has been done using agar well diffusion method and the metabolites profiling has been carried out using HPLC and GC-MS. Several actinobacterial extracts showed antimicrobial activity against multiple tested microbes, NA118 and N182 exhibited antimicrobial activity against the three tested microbes Klebsiella pneumoniae, Bacillus subtilis and Candida albicans. Actinobacterial strains showed differential levels of amino acids, Isolate NA118 showed the highest increases in valine, proline, ornithine, leucine. Highest levels of hexadecatrienoic (C16:3) and hexadecanoic (C16:0) were recorded for isolate NA8. Isolate NA182 was rich in several phenolics and flavonoids. High contents of beta-tocopherol and delta-tocopherol and gama-tocopherol were recorded for isolate NA118 and NA18. Finally, The pharmacological characteristics of the bacterial extracts were assessed. Antibacterial testing revealed that 10 of 12 bacterial extracts were having antimicrobial activities against at least one of the microorganisms examined. Therefore, Further studies needs to be performed in which we can isolate and identify various actinobacterial species using different media beside it could have interesting biologically active metabolites.
MULTIPORT ANALYSIS BY PAD ¶ E APPROXIMATION

In this paper, a new method to analyze arbitrary shaped microstrip patch antennas is introduced. This method uses the multiport network model (MNM) together with a mathematical approximation called the \Pade approximation" such that the antenna input impedance obtained from the multiport analysis is approximated as a rational function of polynomials. Then, the roots of the denominator of this rational function are used to determine the antenna resonant characteristics. This new method is more time e-cient than the standard multiport analysis because the evaluations are made at a single frequency. In the standard method, evaluations are made at multiple frequency values throughout the analysis. Results obtained by the new method are verifled using the examples of rectangular and slot loaded compact microstrip patch antennas. Computational efiorts for both procedures are presented.
Classification of directed regular Ricci-flat graphs

Ricci curvature on undirected graphs is defined by modifying the coarse Ricci curvature, and there are many results about it. In this paper, we modify Lin-Lu-Yau's definition of Ricci curvature, and define Ricci curvature on directed graphs. Moreover, we classify directed regular graphs with flat Ricci curvature.
Children’s sensitivity to visual information: Methodological considerations for non-word repetition testing

This study introduces a Lithuanian non-word repetition test and explores methodological issues by comparing two stimuli presentation conditions (live mode vs. audio mode). The study aims to discuss methodological issues of the non-word repetition test and its potential consequences for the results. The study sample comprises 100 typically developing children (2 age groups: 4;00–4;11 and 5;00–5;11). The inquiry assessed the impact of presentation mode on the accuracy of the task performance, focusing on the effect of age. The comparison of the different stimuli of the non-word repetition test indicates that the mode of presentation impacts the accuracy of the test results. The study showed that observing the target’s visual articulation helped children identify the non-words: performance in the live presentation mode was more accurate than with audio-recorded stimuli, particularly by the group of older children. Regardless of the stimuli and age, an overall comparative analysis confirmed the tendency for non-word repetition accuracy to decline in longer and structurally more complex words.
Robust moving object detection based on spatio-temporal confidence relationship

It is still an open problem in the context of complex scenarios like dynamic background and illumination variations, although numerous moving object detection schemes have been demonstrated. Great efforts have been made to develop some probability distribution pixels obey, for which samples are collected from spatial domain and/or temporal domain. However, significant attention has not been paid to the confidence relationship between pixels and its spatio-temporal neighbours in previous works. In this Letter, a confidence relationship model is proposed to complete the moving object detection task in complex environments. Experiments on typical surveillance scenes verify that the proposed algorithm has attractive robustness and high accuracy for illumination variations and dynamic background against state-of-the-art methods.
A Fully Automatic Method for Breast Lesions Segmentation in Ultrasound Images

Due to inherent speckle noise, poor quality data, low contrast, and large shape variations of ultrasound lesions, automatic segmentation in breast ultrasound images is still a challenging task. In this paper, we propose a novel algorithm to segment automatically breast lesion in ultrasound images. The images are first filtered with a Speckle Reducing Anisotropic Diffusion algorithm to remove speckle noise. After that we propose the use of some morphological operators namely the contrast enhancement, the adaptive thresholding, the suppression of small regions and regions connected to the image border, the erosion and dilation, and finally the edge detection technique for initial lesion localization. Finally, we apply the Muti-scale Vector Field Convolution snake for boundary lesion segmentation. A comparative study with previous state of the art algorithms of active contours using both qualitative and quantitative measures for real breast ultrasound images are presented in this study in order to evaluate the performance of our method. Experiments demonstrate the ability to detect breast lesions automatically, quickly, efficiently and with high accuracy.
Discrete excitation of mode pulses using a diode-pumped solid-state digital laser

In this paper, we experimentally demonstrate novel method of generating discrete excitation of on-demand Lagaurre-Gaussian (LG) mode pulses, in a diode pumped solid-state digital laser. The digital laser comprises of an intra-cavity spatial light modulator (SLM) that acts as an end-mirror of the resonator for uploading digital holograms, for the selection of discrete LG modes and controlling the quality facto, Q of the resonator. Discrete excitation of LG mode pulses of azimuthal-order l of 0, 1, 2, with zero radial-order (p = 0) were generated. Pulses of duration 200 ms and intensities as high as 1 mW with repetition speed of 60 Hz were produced at 1 um wavelength. The maximum peak power-conversion efficiency measured was 1.3%.
An Overview on Synthesis, Characterization and Applications of Silver Nanoparticles

Nanoparticles have a significant impact on a variety of biomedical applications during the past few decades, including diagnostic and medicinal equipment. Nanotechnology is a significant area of contemporary research that deals with creating, producing, and modifying particles having structures between one to one hundred nanometers (nm) in size. Metal nanoparticles for individualized healthcare are very useful Since they have distinct physical and optical properties and biochemical functionality tailored by various size- and shape-controlled parameters. Silver Nanoparticles (AgNPs) in particular have great potential in a broad range of applications as, drug-delivery carriers, antimicrobial agents, imaging probes, biomedical device coatings, and diagnostic and optoelectronic platforms. The main AgNPs production pathways, including physical, chemical, and biological processes, as well as their characterization and applications, are the subject of the current review
Buckling of core wall structures coupled with connecting beams

A rational and accurate numerical analysis is presented for the buckling of core walls coupled with connecting beams by using spline finite member element method (SFMEM) in which the effects of torsion, warping and, especially, the shearing strains in the middle surface of the walls are taken into account. The core wall structure is discretized and modelled as an equivalent thin‐walled closed section, while the connecting beams between openings are replacement by an equivalent shear diaphragm of thickness. The numerical method combines the advantages of B3‐spline, the finite member element method and Vlasov's thin‐walled bar theory. The simplicity and accuracy of the proposed scheme are demonstrated by a numerical example. Copyright © 2005 John Wiley & Sons, Ltd.