Miracle-dz/UniFAR-FTUs huggingface dataset:
Potential risk of some pathogens in table eggs

This study was conducted to record the potential risk of some pathogens in table eggs in Beni-Suef city, Egypt. A total of 100 table eggs samples (Farm and Baladi eggs) were randomly collected from poultry farms, markets, supermarkets and groceries in Beni-Suef city, 50 farm eggs samples (each of 3 eggs) and 50 baladi eggs samples (each of 5 eggs) were examined for the presence of coliforms, E.coli, Salmonella, coagulase positive Staphylococcus aureus and Staphylococcal enterotoxins. Isolates were identiﬁed by biochemical, serological and molecular (PCR) methods. The obtained results in the present study revealed that (22%) of the examined samples were contaminated with Coliforms. The other identified genera were Citrobacter freundii, Citrobacter diversus, Edwardsiella tarda, Enterobacter spp. , Morgonella morganii, Klebsiella oxytoca, Providencea spp. , Serratia fonticola and Yersinia intermedia. E.coli (atypical type) was detected in a percentage of 27.27%. True fecal E. coli and Salmonella spp. failed to be detected in any of the whole examined 100 eggs samples. Additionally, Staphylococcus spp. was detected with incidence rate of (13%), out of them, 8 (61.5%) isolates were accounted for coagulase positive Staphylococcus aureus. Enterotoxin profiling revealed that two classical enterotoxin genes (SEA and SED) were detected either singly or in combination. The potential health hazards and the suggested control measures of the isolated strains had been discussed.
Electroconvulsive Therapy Modulates the Structural and Functional Architecture of Frontal Pole in Major Depressive Disorder

Abstract Background: Although electroconvulsive therapy (ECT) is the most potent treatment for severely major depressive disorder (MDD), little is known about the neural mechanism of ECT in MDD patients. The frontal pole (Fp) plays an important role in integrating social, emotional, and cognitive processes. However, the exact role of Fp, especially at the sub-regional level, response for ECT in MDD remains largely unknown. Methods and Findings: We combined voxel-based morphometry and resting-state functional connectivity (RSFC) to investigate the structural and functional alterations in Fp sub-regions to explore the mechanism of ECT in 23 MDD patients before and after ECT. Structurally, we found increased gray matter volume (GMV) of the left Fp1 and left Fp2 in MDD patients after ECT. Functionally, we found decreased RSFC between the left Fp1 and right cerebellum, left fusiform gyrus, and between right Fp1 and left fusiform gyrus, as well as increased RSFC between right Fp1 and left angular gyrus, left cuneus, and between right Fp2 and left cuneus in MDD patients after ECT. Furthermore, we also found significant associations between the changes of the GMV/RSFC and the therapeutic efficacy or side effects of ECT in MDD patients. Conclusion: These results showed that the ECT can distinctly modulate GMV and RSFC of Fp at subregional level in MDD patients, which provide a novel view to understand the mechanism of ECT and may help us optimize the ECT procedures for improving therapeutic efficacy and reducing side effects.
Uncertainty quantification in classification problems: A Bayesian approach for predicating the effects of further test sampling

The use of machine learning techniques in classification problems has been shown to be useful in many applications. In particular, they have become increasingly popular in land cover mapping applications in the last decade. These maps often play an important role in environmental science applications as they can act as inputs within wider modelling chains and in estimating how the overall prevalence of particular land cover types may be changing.
Parents' Experiences in Educational Decision Making for Children and Youth With Disabilities

Abstract Families should be an active part of educational decision making for their children, and they can be particularly influential in advocating for inclusion for students with intellectual and developmental disabilities. Yet, significant research has shown that parents do not feel schools effectively collaborate with them. We interviewed 19 parents of children with disabilities to investigate the ways they were included and excluded from educational decision making and how they decided on their children's placement and services. Five themes emerged: parents' exclusion from decision making, parents' independent efforts to shape their children's educational services, parents' decisions as a result of school and district factors, parents' role changes to direct their children's education, and discrepancies between beliefs and experiences of inclusion. Parents' responses indicate that specific school structures and institutionalized procedures may regularly exclude parents from decision making. Results h.
Domestication of Terminalia brownii Among Smallholder Farmers in Eastern Kenya: A Double Hurdle Approach.

The research is financed by National Research Fund, Kenya Abstract Evidence has shown that the population of Terminalia brownii continue to dwindle in its native range due to drought, agricultural expansion and settlement and over exploitation for charcoal, beehives, carvings and timber. High levels of exploitation accompanied by awareness creation on value addition remains an exit strategy towards poverty alleviation for improved rural livelihoods, hence, the need to support its domestication. Scientists and researchers have prioritized promotion of this species in Eastern Kenya. However, information on intensity of domestication of the species remained scanty. A sample of 346 T. brownii producers were selected using a multi-stage sampling procedure in Embu, Machakos, Kitui and Makueni Counties in Kenya. Primary data was collected using a pretested structured questionnaire while secondary data was acquired from the Kenya Forest Service offices in the study area. A double hurdle econometric model was used to analyse the determinants of decision and intensity of use of T. brownii . Results revealed that five variables that significantly influence the decision to domesticate T. brownii include; education level of household head, importance of farm to the household income, access to credit, dependency ratio and intercropping. On the other hand, education of the household head, size of the farm and total income from livestock sales influenced intensity of domestication of T. brownii. Therefore, there is need to develop programs to sensitize farmers on the importance of the species on their farms. Lastly, we need to promote structures for commercialization of the agroforestry products from this tree species to reduce unemployment. Keywords: Terminalia brownii, Domestication, Agroforestry, Dryland, Double Hurdle DOI : 10.7176/JESD/10-16-07 Publication date : August 31 st 2019
Assessing the potential of a diabetes self-management technology intervention for underserved adults

Assessing the potential of a diabetes self-management technology intervention for underserved adults Elizabeth Heitkemper The dissertation aims to examine the potential for diabetes self-management education (DSME) technology interventions to be used by underserved adults in routine clinical practice and issues regarding its use that may be unique to this population. In Chapter One, the problems of providing sufficient access and appropriate DSME to underserved adults with type 2 diabetes mellitus (T2DM) is introduced and their significance is described. In Chapter Two, a systematic review of the literature and metaanalysis synthesizes data from 3,257 subjects that participated in 13 randomized controlled trials that examined the effect of health information technology (HIT) DSME interventions on glycemic control in medically underserved adults. Chapter Three presents the general and technology-related characteristics of the urban, underserved sample of adults with type 2 diabetes mellitus from eight federally qualified health centers who participated in the Mobile Diabetes Detective (MoDD) randomized controlled trial. It also describes the technology training required to support use and engagement during the MoDD intervention period. In Chapter Four, the potential for broad dissemination of a novel HIT DSME intervention, MoDD, into everyday clinical practice is examined using the RE-AIM framework (Reach, Effectiveness, Adoption, Implementation and Maintenance). In Chapter Five the findings of these studies are summarized and the overarching conclusions are presented, which include the strengths, limitations and implications for practice, policy and future.
Caregiver Appraisals of Anxiety, Pain, and Behavioral Changes Among Children After Ambulatory Surgery

Background: Preoperative anxiety is very common across the age continuum; however, for children who experience anxiety, it can be especially challenging. On the basis of the report of caregivers, this anxiety can sometimes lead to negative behaviors postoperatively. Purpose: The purpose of this study was to examine the relationship between pediatric trait anxiety and postoperative outcomes in pediatric patients who undergo ambulatory surgery. Methods: A quantitative cross-sectional descriptive research design study of 64 caregivers was conducted. Inclusion criteria consisted of caregivers of children aged 1–8 years who underwent ambulatory surgery and provided informed consent. Measures administered included the Post Hospitalization Behavioral Questionnaire to evaluate postoperative behavior of patients after discharge from the hospital, Parents' Postoperative Pain Measure-Short Form to evaluate pain of a child after surgery, and Screen for Child Anxiety Related Emotional Disorders to evaluate children's anxiety. Data were analyzed using measures of central tendencies and bivariate correlational analysis. Results: Caregivers' appraisals of trait anxiety in children undergoing ambulatory surgery were low, whereas negative postoperative behaviors and pain levels were high. The only statistically significant relationship was a negative correlation between trait anxiety and postoperative pain of children who underwent ambulatory surgery. Conclusions: Central to this finding is the importance of developing adaptive skills of children to improve postoperative outcomes such as pain management. However, this study showed that trait anxiety is not related to postoperative negative behaviors.
Hello Brand, let’s take a selfie

It has been suggested that brands and products often assume a role in selfies (Ham, 2014) where the expression of brands and products provokes consumer emotions that bring about greater engagement (Tsai and Men, 2013) and contributes to the interactivity with the brands. This study aims to understand how the selfie phenomenon could mobilize the interactivity between brands and target audiences, in a way that could be used as a marketing tool by companies. ,A netnographic research methodology was used for the current study because it is a method specifically designed to study online communities (Kozinets, 2010). The experiences of brand selfie postings on Instagram were studied by analyzing users’ selfies to predict brand usage. A purposive sample of Instagram users was chosen, and from these, a total of 74 brand selfies were analyzed. ,This study provided an understanding of consumer behavior and marketing practices in the social marketplace through a detailed exploration of the data using visual and textual analysis. The main finding of this study is that consumers both consume and produce brand meanings in digital platforms; hence, companies should view them not only as passive receivers of messages, but also potential generators and co-creators of brand messages. ,An important limitation of this study is that it only examines a small number of cases, and conclusions can only be limited to the specific sample chosen. A future research endeavor could of course be carried out to include a larger sample audience for investigating the effect of brand selfies and the potential purchase decisions of peers following exposure. Theoretically, this study provided further insight into the selfie phenomenon and specifically as a marketing tool and not just a new social trend. ,The growing trend in the selfie phenomenon along with social networking sites (hereinafter SNSs) have attracted the attention of both users and marketing experts in terms of consumer–brand relationship (Zhu and Chen, 2015). In line with this current trend, many studies have attempted to understand the influential impact of the selfie phenomenon through SNSs. Studies on the motivation of selfie postings (Pounders et al., 2016) and selfie-posting behavior on SNSs (Kim et al., 2016) have been carried out; however, how brand selfies posted on SNSs appeal to non-users and how they interact with them remain unclear. Consequently, the intention of the current study is to provide some insight in this area.
Menfish Classification Based on Inception_V3 Convolutional Neural Network

Due to the impact of global environmental pollution deterioration, as well as uncontrolled fishing activities. The global fish stocks are becoming more and more serious, so it is necessary to pay attention to this issue. In this paper, the characteristics of traditional fish identification methods are vast, subjective factors are strong, and the current accuracy is not good in today’s deep learning. A migration learning based on Inception_v3 network with excellent feature extraction ability is proposed. Fish recognition model This model has better recognition ability than traditional models and some simple convolutional neural networks, and further improves the accuracy of Inception_v3 for fish recognition.
Tiotropium bromide inhibits human monocyte chemotaxis

Tiotropium bromide (Spiriva®) is used as a bronchodilator in chronic obstructive pulmonary disease (COPD). However, clinical evidence suggests that tiotropium bromide may improve COPD by mechanisms beyond bronchodilation. We hypothesized that tiotropium bromide may act as an anti-inflammatory agent by inhibiting monocyte chemotaxis, a process that plays an important role in the lung inflammation of COPD. To test this hypothesis monocytes were pretreated with tiotropium bromide prior to exposure to chemotactic agents and monocyte chemotactic activity (MCA) was evaluated with a blind chamber technique. Tiotropium bromide inhibited MCA in a doseand timedependent manner (respectively, p< 0.01) by directly acting on the monocyte. Acetylcholine (ACh) challenge increased MCA (p< 0.01), and tiotropium bromide effectively reduced (p< 0.01) the increase in MCA by ACh. The inhibition of MCA by tiotropium bromide was reversed by a muscarinic type 3 (M3)-muscarinic receptor antagonist (p< 0.01), and was not effected by an M2 receptor antagonist. Furthermore, a selective M3 receptor agonist, cevimeline, and Gq protein stimulator, Pasteurella multocida toxin, significantly increased MCA (P < 0.01), and tiotropium bromide pretreatment reduced (p< 0.01) the increase in MCA induced by these agents. These results suggest that tiotropium might regulate monocyte chemotaxis, in part, by interfering with M3-muscarinic receptor coupled Gq protein signal transduction. These results provide new insight that an anti-cholinergic therapeutic may provide anti-inflammatory action in the pulmonary system.
Lung type II alveolar epithelial cells collaborate with CCR2+ inflammatory monocytes in host defense against an acute vaccinia infection in the lungs

The pulmonary immune system consists of a network of tissue-resident cells as well as immune cells that are recruited to the lungs during infection and/or inflammation. How the two immune components cross-talk during an acute viral infection is not well understood. Intranasal infection of mice with vaccinia virus causes lethal pneumonia and systemic dissemination. Here we report that vaccinia host range protein C7 is a critical virulence factor. Vaccinia virus with deletion of C7 (VACVΔC7L) is non-pathogenic in wild-type C57BL/6J mice, but it gains virulence in mice lacking STAT2, or IFNAR1, or MDA5/STING. We provide evidence that lung type II alveolar epithelial cells (AECs) provide first-line of defense against VACVΔC7L infection by inducing IFN-β and IFN-stimulated genes via the activation of the MDA5 and STING-mediated nucleic acid-sensing pathways. This leads to recruitment of CCR2+ inflammatory monocytes into the lungs to fight against viral dissemination.
Identification of Phase CaCO3/MgO in Bangkalan Dolomite Sand as An Antibacterial Substance

Dolomite sand has several ingredients such as CaCO3 and MgO which have the potential as an antibacterial substance. The making of this antibacterial substance uses the heating/calcination method of dolomite powder with a variation of holding time from 0.5 to 2.5 hours at a temperature of 700°C. The nanoparticles produced from the calcination process were then characterized by XRD to identify the formed phase. This study aimed to determine the effect of holding time on phase formation on dolomite. The results of this study are identified as forming four phases namely calcite (CaCO3), periclase (MgO), calcium hydroxide (Ca(OH)2) and lime (CaO) with different percentages in each variation of holding time. The Ca(OH)2 and CaO phases include the impurity phase with a lower percentage than the CaCO3 and MgO phase percentages. The most dominant phase is CaCO3 and the MgO phase formed optimally at 1 hour holding time with a percentage of 47.1% CaCO3 and 35.9% MgO.
Applications of Synchrotron Radiation Techniques To The Study Of Taphonomic Alterations and Preservation in Fossils

Fossils have traditionally been seen as sedimentary rocks that preserve little of the original composition of animals, except for their shapes, and perhaps some original material from recalcitant mineralized structures, such as bones, and teeth. However, recent studies have shown that not the case. Researchers have identified preserved organic molecules, such as collagen and melanosomes, as well as mineralized soft tissues, including feathers, muscle tissue and skin, tens of millions of years after the animal’s death. These results have improved our understanding of extinct species, and have been obtained using a variety of characterization techniques, including the synchrotron-based approaches that are the focus of the research presented in this thesis. The main goal of the research discussed in this thesis was the application of synchrotron radiation techniques (X-ray fluorescence and X-ray absorption spectroscopy, in particular) in order to determine the taphonomic alterations that fossils experience, and examine how different materials are preserved. In this thesis, I discuss the results of the chemical characterization on the remains of the Tyrannosaurus rex known as “Scotty”, turtle shells, and a rare specimen of fossilized hadrosaur skin. I also examine the applicability of X-ray fluorescence to determine the composition and elemental distribution of insect inclusions in amber. The results presented herein offer possible explanations on how some of these specimens were preserved and the extent of the chemical alterations they underwent during their taphonomic history. Beyond the specific results for each specimen, the overall research presented in this thesis shows that synchrotron radiation techniques have great potential to advance palaeontological research, as it becomes necessary to evaluate the chemistry of specimens in high resolution. These characterization techniques were able to confirm that more original material is preserved after fossilization than would have been believed possibly even a decade ago.
Stochastic Approach to Optimize the Supply Chain Network of Microalga-Derived Biodiesel under Uncertain Diesel Demand

To investigate the effect of uncertainty in biodiesel production from microalgae, a supply chain network (SCN) of the process from cultivation of microalgae to distribution of biodiesel is developed using mixed-integer linear programming. Biodiesel demandis the crucial factor in the design of SCN, but is quite uncertain, so a stochastic approach that considers uncertain scenarios is developed, and its recommendations are compared to those of a deterministic model. Also, three different scenario-generation methodologies are employed to illustrate the applicability of the approach. The proposed model determines: (1) the numbers, locations, and sizes of a carbon capture and storage system; (2) the numbers, locations, sizes, and types of bio-refineries; (3) the transportation paths of CO 2 and water from feedstock fields to bio-refineries; and (4) the transportation paths of biodiesel from bio-refinery to demand cities, while minimizing the expected total cost considering several constraints such as locations of power plants as carbon sources, potential locations of bio-refineries, and demands for biodiesel at each site. The proposed model is validated by applying it to a case study based on the predicted biodiesel demand of Korea in the year 2030. A numerical example illustrates that the unit production cost of alga-derived biodiesel by the stochastic model (US$ 2.84 per liter) is at least 5% more economical than that of the deterministic model (US$ 2.99 per liter). The proposed approach is able to respond to uncertain demand situations in SCN design.
The Use of E- Learning trough Google Classroom to Improve Students’ Articulation Phonetic Ability

This study aims to determine whether Google classroom can improve the students’ ability in articulation phonetics or pronunciation at the English Department of IAIN Metro The type of this research is classroom action research. It was conducted in 2 cycles. Data collection techniques of this study were observation, tests, documentation, interviews, and field notes. The results of this research showed that there was improvement the students’ ability in Articulation Phonetics. It can be seen from the average score in pre test was 60,3, post test cycle 1 was 64, 5, and post test cycle 2 was 75,8. From the results, it can be concluded that the use of google classroom can improve the ability of articulation phonetics at English Department of IAIN Metro.
Semi-Unsupervised Learning: Clustering and Classifying using Ultra-Sparse Labels

In semi-supervised learning for classification, i t is assumed that every ground truth class of data is present in the small labelled dataset. In many real-world sparsely-labelled datasets, it is possible that not all ground-truth classes are captured in the labelled dataset: a biased data collection process could result in some classes of data to be found only in the unlabelled dataset. We call this regime ‘semi-unsupervised learning’, an extreme case of semi-supervised learning, where some classes have no labelled exemplars. First, we outline the pitfalls associated with trying to apply deep generative model (DGM)-based semi-supervised learning algorithms to datasets of this type. We then show how a combination of clustering and semi-supervised learning, using DGMs, can be brought to bear on this problem. We study several different datasets, showing how one can still learn effectively when half of the ground truth classes are entirely unlabelled and the other half are sparsely labelled.