Miracle-dz/UniFAR-FTUs huggingface dataset:
Multi-Drug Resistant Acinetobacter baumannii; A Neglected Nosocomial Pathogen in the Veterinary Field as a Source of Human Infection

B ACKGROUND: One of the most important global warnings, according to the “World Health Organization (WHO)”, is the danger of multi-drug resistant microorganisms represent to human health. This study is intended to detect the precise Acinetobacter baumannii contamination rate in veterinary necessities, the possible method of A. baumannii transmission to human patients, and the extent of antibiotic resistance in these bacteria. Methods: From various areas in the Duhok governorate, 106 swabs were collected. Conventional microbiological, cultural, real-time PCR and “Vitek 2 system” tests were used to diagnose and confirm the A baumannii isolates. The antimicrobial susceptibility test was performed by the standard disc diffusion method. ERIC PCR was used to determine the genetic similarity and DNA fingerprints of the retrieved isolates. Results: The total positive A. baumannii isolates were twenty-two samples (20.7%) ,18 (16.98%) were positive rom 65 samples from slaughter houses, 2 (1.88%) out of 20 swabs from a private veterinary clinic and 2(1.88%) out of 20 swabs from a governorate veterinary centers). Acinetobacter baumannii strains that were isolated from veterinary necessities were genetically linked to some A. baumannii strains isolated from human patients (from Duhok Research Renter). Moreover, none of the identified isolates were resistant to colistin and piperacillin, despite being multidrug resistant and demonstrating resistance to the most frequently tested antibiotics. Conclusion: The present findings suggest that A. baumannii resistance is potentially present in veterinary medicine, which requires a prompt and well-thought-out approach to contain the problem.
Visual assessment of breast density using Visual Analogue Scales: observer variability, reader attributes and reading time

Breast density is a strong risk factor for breast cancer and has potential use in breast cancer risk prediction, with subjective methods of density assessment providing a strong relationship with the development of breast cancer. This study aims to assess intra- and inter-observer variability in visual density assessment recorded on Visual Analogue Scales (VAS) among trained readers, and examine whether reader age, gender and experience are associated with assessed density. Eleven readers estimated the breast density of 120 mammograms on two occasions 3 years apart using VAS. Intra- and inter-observer agreement was assessed with Intraclass Correlation Coefficient (ICC) and variation between readers visualised on Bland-Altman plots. The mean scores of all mammograms per reader were used to analyse the effect of reader attributes on assessed density. Excellent intra-observer agreement (ICC>0.80) was found in the majority of the readers. All but one reader had a mean difference of <10 percentage points from the first to the second reading. Inter-observer agreement was excellent for consistency (ICC 0.82) and substantial for absolute agreement (ICC 0.69). However, the 95% limits of agreement for pairwise differences were -6.8 to 15.7 at the narrowest and 0.8 to 62.3 at the widest. No significant association was found between assessed density and reader age, experience or gender, or with reading time. Overall, the readers were consistent in their scores, although some large variations were observed. Reader evaluation and targeted training may alleviate this problem.
Pengaruh Layanan Cash On Delivery, Online Consumer Rating dan Reviews terhadap Keputusan Pembelian Produk secara Online

Penelitian ini bertujuan untuk menganalisis faktor yang mempengaruhi keputusan pembelian yang terdiri dari layanan cash on delivery, consumer online rating dan review. Pendekatan dalam penelitian ini menggunakan pendekatan kuantitatif dengan jenis causal research. Penelitian ini mengambil 100 sampel yang diperoleh menggunakan teknik sampling incidental. Teknik analisis data yang digunakan dalam penelitian ini adalah analisis statisitik deskriptif dan analisis regresi linier berganda. Hasil penelitian ini menunjukan bahwa 1) terdapat pengaruh signifikan dan positif layanan cash on delivery terhadap keputusan pembelian secara parsial, 2) consumer online rating dan review memiliki pengaruh signifikan dan positif terhadap keputusan pembelian secara parsial, 3) terdapat pengaruh signifikan dan positif layanan cash on delivery, consumer online rating dan review terhadap keputusan pembelian secara simultan.
BACTERIAL SPECTRUM OF EXTERNAL OCULAR INFECTIONS: PREVALENCE AND ASSOCIATED IN VITRO ANTIMICROBIAL SUSCEPTIBILITY AND RESISTANCE IN A TERTIARY CARE HOSPITAL.

Background: External ocular infections (EOI) can affect the lids, conjunctiva or cornea and may carry serious consequences including visual impairment if not correctly identified and treated. Empirical treatment is usually initiated using broad-spectrum antibiotics before concluding culture and susceptibility testing, this along with casual prescriptions, ineffective dosing and poor patient compliance have contributed to increasing bacterial resistance to commonly used topical antibiotics. Aims: Through this study we aim to establish the prevalence of bacterial EOI and their associated in vitro antimicrobial susceptibility and resistance profiles. Materials and Methods: This cross-sectional study reviewed consecutive microbiological reports of EOI from January 2015 to December 2016. Demographic data and bacterial organisms isolated as well as their susceptibility and resistance results to routine 91% for P. aeruginosa, 85% for K. pneumoniae , 83% E. coli and 78% for A. baumannii . These results suggest that in EOI caused by Gram-negative organisms Gentamicin is superior to second-generation cephalosporins for the treatment of EOI caused by P. aeruginosa , E. coli and A. baumannii and only inferior for EOI caused by K. pneumoniae .
The Influence of Ownership Structure, CEO Duality, Audit Type, Board Independence and Triple Bottom Line on Reducing the Financial Distress of Egyptian Companies: Using Z-Score Model

: The study examines the impact of CG measures on corporate failure of 55 listed companies whose shares are among Egypt's 100 most actively traded shares from (2010-2018). The results can be used to identify which specific CG mechanisms (i.e., ownership structure, CEO duality, audit type, board independence) reduce corporate failure which can in return greatly contribute to the widespread awareness and implementation of these CG practices among listed companies. Design/Methodology The research methodology relies on using appropriate empirical and statistical analysis to test research hypothesis such as descriptive statistics, correlation analysis, path analysis and multi-group analysis using structured equation model using (AMOS), and panel least square regression analysis using E-views. Data about CG, accounting variables, and corporate failure was officially provided by the Egyptian Stock Market. The analysis used Egyptian Disclosure books, Coface Egypt Finance yearbooks and company's website provided to construct datasets.
Triacontanol (long-chain alcohol) positively enhances the microbial ecology of berry peel in Vitis vinifera cv. ‘Glera’ yet promotes the must total soluble sugars content

Grapevine is one of the most important woody perennial crops in Italy, both in terms of cultivated area and economic income. In recent years, the identification of effective and integrated tools for plant nutrition and manipulation to improve plant health status in agriculture has become increasingly important to lead towards environmentally friendly viticulture. In this sense, plant-associated microbiota of berry carposphere structure and function significantly impact vines performance (must fermentation and final wine profile). For this, a recently developed biostimulant rich in triacontanol (TRIA) obtained from Fabaceae tissues has been tested in grapevine cv. Glera. Our study aimed to understand how TRIA application affected the fungal and prokaryotic communities, which is important for fermentation and the final wine olfactory profile. Taxonomical analysis revealed that TRIA application did not lead to significant differences in the number of species among kingdoms, therefore, not reducing the biodiversity of the grapevine carposphere. However, it did modify the ratio of certain species, such as increasing those with biocontrol effects and reducing the number of indigenous yeasts. Finally, the TRIA application resulted in a simple and cost-effective strategy to induce an earlier harvest with higher sugar content, which is important for fermentation. These results suggest the potential of using TRIA to obtain healthier grapes with cleaner sensory profiles during fermentation.
Non-convex TV denoising corrupted by impulse noise

We propose a non-convex type total variation model for impulse noise removal by incorporating TV and the quasi-norm \begin{document}$\ell_q $\end{document} , \begin{document}$0 . Since the proposed model is non-convex and non-smooth, an iteratively reweighted algorithm is adapted and combined with a linearized ADMM. The convergence of the proposed algorithm is established and numerical results are given to illustrate the validity and efficiency of the proposed model.
An Extension to the Theory of Trigonometric Functions as Exact Periodic Solutions to Quadratic Liénard Type Equations

This paper slightly extends the theory of exact trigonometric periodic solutions to quadratic Liénard type equations introduced earlier by the authors of the present contribution. The extended theory is used to determine the general periodic solutions to the Duffing equation and to some Painlevé-Gambier equations as illustrative examples. Finally the mathematical equivalence between the Duffing equation and the Painlevé-Gambier XIX equation has been highlighted by means of the proposed extended theory.
Long-Term Outcomes of the PRESERFLO MicroShunt Implant in a Heterogeneous Glaucoma Cohort

The Preserflo MicroShunt represents a novel glaucoma treatment device, necessitating long-term follow-up data to accurately assess its efficacy. The aim of this study is to report real-world data of a heterogenous glaucoma cohort who received Preserflo implantation at a specialized glaucoma clinic. A total of 160 eyes of 160 patients who underwent Preserflo MicroShunt implantation were retrospectively enrolled in this study. Patient characteristics, as well as success and failure rates, were assessed. The numbers of adverse events and revision procedures were recorded, along with any reduction in supplementary medication. The progression of intraocular pressure (IOP) was assessed over the course of 12 months, and fluctuations were analyzed. The overall success rate was 61.9% (complete success: 51.3%, qualified success: 10.6%). Revision surgery was performed in 25% of cases. Excessive hypotony occurred postoperatively in 54.4% of patients and regressed after 7 days in 88.8% of all cases. Median IOP decreased from 22 (interquartile range (IQR): 17–27) mmHg preoperatively to 14 (IQR 12–16) mmHg at 12 months postoperatively (p < 0.01). The median number of antiglaucomatous agents decreased from three to zero at latest follow-up. The Preserflo MicroShunt achieved a noticeable reduction in IOP over the course of 12 months in glaucoma patients, irrespective of disease severity or disease subtype. The frequency of postoperative adverse events and number for revision surgeries over the course of the follow-up period were low.
NCE focus issue: extreme edge computing

Biological intelligence imparts organisms with the ability to overcome a number of key challenges such as adapting to dynamic environments, learning from experience, and making complex decisions, even within a daunting set of constraints (e.g. extremely limited energy). Interestingly, we are encountering several analogous challenges and constraints as artificial intelligence (AI) begins to move from the cloud to the edge in the ever-growing internet-of-things (IoT). Neuromorphic computing is poised to play a critical role in moving AI to the edge, as it enables the implementation of state-of-the-art machine learning algorithms (e.g. deep neural networks) on hardware platforms with limited resources (energy, precision, I/O, etc.). This NCE focus issue on Extreme Edge Computing brings together a variety of works that are aimed at designing neuromorphic computing for AI at-the-edge. The collection includes four original research articles and one topical review paper, which are briefly summarized below
Variable Stiffness Floating Spring Leg: Performing Net-Zero Energy Cost Tasks Not Achievable Using Fixed Stiffness Springs

Sitting down and standing up from a chair and, similarly, moving heavy objects up and down between factory lines are examples of cyclic tasks that require large forces but little to no net mechanical energy. Motor-driven artificial limbs and industrial robots can help humans do these tasks, but motors require energy to provide force even if they supply no net mechanical energy. Springs are energetically conservative mechanical elements useful for building robots that require no energy when performing cyclic tasks. However, conventional springs can be limited by their non-customizable force-deflection behavior – for example, when they cannot meet the force demand despite storing enough energy to perform a cyclic task. Variable stiffness springs are a special type of spring with customizable force-deflection behavior, but most typical variable stiffness springs require energy to amplify force similar to motors. In this letter, we introduce a new type of variable stiffness spring design which is energetically conservative despite having a customizable force-deflection behavior. We present the theory of these springs and demonstrate their utility in performing a net-zero mechanical energy cost lifting task that requires force amplification and as such is not realizable using conventional springs. Energetically conservative springs with customizable force-deflection behavior may find their place in assistive devices, exoskeletons, and industrial robots that can perform a larger class of tasks than conventional springs using little to no external energy.
Superposition of Squeezed Laser Light Beams

In this research we have studied the squeezing and statistical properties of a pair of superposed output light beams generated by three-level lasers, with the injected atoms prepared initially in a coherent superposition of the top and bottom levels. In particular, applying the density operator for the superposed output laser light beams together with the Q functions, we have calculated the global and local mean and variance of the photon number as well as the quadrature squeezing. In addition, we have determined the mean and variance of the photon number sum and difference and the photon numbers correlation of a pair of superposed two-mode output light beams. It is found that both the mean photon number and quadrature variance of the superposed output laser light beams is the sum of the mean photon numbers and the quadrature variances of the constituent output light beams. However, the variance of the photon number of the superposed output laser light beams is not the sum of the variances of the photon numbers of the component output laser light beams. Moreover, the global and local quadrature squeezing of a pair of superposed output laser light beams turned out to be the average of the global and local quadrature squeezing of the constituent output light beams. We have also noticed that the squeezing of the superposed output laser light beams is 61.5% below the vacuum state-level. On the other hand, we have seen that the local quadrature squeezing is greater than the global quadrature squeezing. It is found that the maximum local quadrature squeezing is 92.5% and occurs in the frequency λ = ±0.01. Furthermore, our results have shown that the local quadrature squeezing, unlike the local mean of the phonon number, quadrature variance, and photon number variance does not increase as the value of λ increases. In addition, our analysis indicates that the quadrature squeezing of the superposition of squeezed laser light beam and a light beam in vacuum state turned out to be just half of the quadrature squeezing of the three-level laser output light beam. Finally, we would like to mention that the photon numbers of a pair of superposed two-mode light beams are correlated.
Optimisation of Phase Data Processing for Susceptibility Reconstruction in Magnetic Resonance Imaging

Nuclear magnetic resonance (NMR) is exquisitely sensitive to variations of the static magnetic field. Nevertheless, historically mainstream magnetic resonance imaging techniques have focused on the magnitude of the complex NMR signal only. Hence, valuable information about the magnetic field contained within the signal phase was not considered. Only during the last decade has the phase been increasingly employed to obtain structural characteristics complementary to that included in the signal magnitude. Phase is influenced by the physical properties of the imaged object such as chemical shifts and in particular magnetic susceptibility and its spatial distribution. To efficiently exploit the phase information, a number of processing steps have to be performed. The recorded phase is ambiguous and has to be unwrapped, data from multiple receive channels must be combined, fieldmaps have to be obtained and field shifts of external origin must be removed in order to estimate the susceptibility distribution in tissue. In this thesis, the workflow for phase imaging is described step by step. Methods for enhancing each processing step as well as for optimising data acquisition are investigated and the development of several new evaluation techniques is described. The key algorithms developed in this work bear the acronyms URSULA and MUBAFIRE. URSULA combines one of the most robust known spatial phase unwrapping strategies with volume compartmentalisation, allowing for reliable and fast phase unwrapping of large data arrays as acquired at ultra-high field strength. MUBAFIRE corrects for background fields that originate from sources residing outside of the volume of interest. Its great performance is due to the application of several sequential and complementary background-correction strategies, each preserving physical validity of the solution and addressing different characteristics of field distortions. The novel algorithms combined with methods adopted from the literature allow for the calculation of detailed field and susceptibility distributions resulting in image contrast that is distinct from that found in magnitude images. The applicability of the established workflow is verified in several post mortem brain measurements and in studies on healthy volunteers as well as on patients with brain tumours or Parkinson’s disease. In particular, the challenges of performing post mortem and in vivo imaging on a whole-body 9.4 T scanner at present, the highest magnetic field available for human phase imaging worldwide are met by employing the technical innovations developed within the scope of this thesis.
PATHS IN A RANDOM DIGITAL TREE: LIMITING

We study a rule of growing a sequence {t,} of finite subtrees of an infinite m-ary tree T. Independent copies {w(n)} of a Bernoulli-type process w on m letters are used to trace out a sequence { (n)} of paths in T. The tree t,, is obtained by cutting each P(v), 1 5 v n, at the first node such that at most a paths out of P(1), * * *, (n) pass through it. Denote by H,, the length of the longest path, h, the length of the shortest path, and L,, the length of the randomly chosen path in t,. It is shown that, in probability, H,,- logan = O(1), h, - log, (n/log n) = O(1), (or h,, - logb (n/log log n) = O(1)), and that (Ln,- log, n)/(log, n)? is asymptotically normal. The parameters a, b, c depend on the distribution of w and, in case of a, also on a. These estimates describe respectively the worst, the best and the typical case behavior of a 'trie' search algorithm for a dictionary-type information retrieval system, with a being the capacity of a page. DIGITAL SEARCH; HEIGHT
The saturation number, spectral radius, and family of $k$-edge-connected graphs

Given a family of graphs $\mathcal{F}$, a graph $G$ is $\mathcal{F}$-saturated if no member of $\mathcal{F}$ is a subgraph of $G$, but for any $e\in E(\overline{G})$, some member of $\mathcal{F}$ is a subgraph of $G+e$. The saturation number of $\mathcal{F}$, denoted $sat(n,\mathcal{F})$, is the minimum number of edges in an $n$-vertex $\mathcal{F}$-saturated graph. For a given positive integer $k$, let $\mathcal{F}_k$ = {$H|H$ is a $k$-vertex-connected graph} and $\mathcal{F}'_k$ = {$H|H$ is a $k$-edge-connected graph}. Wenger showed that $sat(n,\mathcal{F}_k)=(k-1)n-{k\choose2}$. In this paper, we prove that $sat(n,\mathcal{F}'_k)=\left(\frac{k^2+3k-4}{2}\right)t +(r-1)(k-1)$, where $n=t(k+1)+r$, $t\geq1$ and $0\leq r\leq k$. Furthermore, we give a necessary condition related to the spectral radius for $\mathcal{F}_k$-saturated and $\mathcal{F}'_k$-saturated graphs.
LAD-LASSO: SIMULATION STUDY OF ROBUST REGRESSION IN HIGH DIMENSIONAL DATA

The common issues in regression, there are a lot of cases in the condition number of predictor variables more than number of observations ( ) called high dimensional data. The classical problem always lies in this case, that is multicolinearity. It would be worse when the datasets subject to heavy-tailed errors or outliers that may appear in the responses and/or the predictors. As this reason, Wang et al in 2007 developed combined methods from Least Absolute Deviation (LAD) regression that is useful for robust regression, and also LASSO that is popular choice for shrinkage estimation and variable selection, becoming LAD-LASSO. Extensive simulation studies demonstrate satisfactory using LAD-LASSO in high dimensional datasets that lies outliers better than using LASSO. Keywords: high dimensional data, LAD-LASSO, robust regression
Advanced mathematical methods for scientists and engineers I: asymptotic methods and perturbation theory.

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Simulation and Characterization of an Exact Solvable Chaotic Oscillator and Matched Filter

The simulation and characterization of a low frequency exact solvable chaotic oscillator and a corresponding matched filter is presented with discussion. The work builds on an existing design for the oscillator by realizing a version of the oscillator which performs analogously in both SPICE simulation and hardware for both shiftband and folded-band operation. Results from simulation and hardware are presented and compared to verify simulation accuracy. SPICE simulation of the matched filter is also presented; its accuracy is verified by comparison to published theoretical behavior. This simulation is used to evaluate and characterize the frequency requirements of the matched filter’s input. Use of the chaotic oscillator/matched filter pair in communication applications is supported by the results of this characterization.