Miracle-dz/UniFAR-FTUs huggingface dataset:
Aflatoxins, Zearalenone, Fumonisins and Deoxynivalenol Multiple Contaminationin Raw Maize (Zea mays L.), for Human Consumption

The aim of this study was to investigate the multi-mycotoxin contamination in maize. A total of 31 raw maize samples were collected ten from Mexico City and 21 from eight municipalities from the State of Puebla. The samples were prepared, identified and analyzed in the Toxicology Laboratory at UAM-X, using the Enzyme-Linked ImmunoSorbent Assay (ELISA-indirect) and High Liquid Chromatography coupled to a fluorescence detector (HPLC-FD). A two factor ANOVA was performed (FUM and DON) and three levels (A, B, N) using Minitab, 2018 Software. The present study detected multi-mycotoxin contamination by Zearalenone (ZEA), Fumonisins (FUM), Deoxynivalenol (DON) and aflatoxins (AFL) in maize samples from Puebla and Mexico City. The interaction between DON and FUM was statistically significant (P < 0.05). It is concluded the need to analyze the fusariotoxin and aflatoxin in foods for children due to their genotoxicity and carcinogenicity.
Probabilistic finite modeling of stochastic estimation of image inter-frame geometric deformations

The paper proposes an approach to probabilistic finite modeling of the process of stochastic estimation of the parameters of interframe geometric deformations of images. As the quantities characterizing the state of the stochastic procedure at each iteration of the estimation, the demolition probabilities of the formed parameter estimates (improvements, deterioration, or no change in the vector of estimates in the parameter space) are used. At the same time, the models of images and noises are given by probability distribution densities and autocorrelation functions. This made it possible to simplify the description of a complex set of factors influencing the formation of estimates. The use of adaptive limitation of the parameter space used for modeling reduces the computational cost several times while maintaining the adequacy of the model. In practice, probabilistic modeling can be used to find the accuracy and probability characteristics of stochastic algorithms for estimating interframe deformations of images for a given number of iterations.
Interventions during pregnancy to prevent spontaneous preterm birth: an overview of Cochrane systematic reviews

This is a protocol for a Cochrane Review (Overview). The objectives are as follows: Our objective is to produce an overview of the evidence in the Cochrane Database of Systematic Reviews for antepartum interventions to prevent spontaneous preterm birth. We also aim to identify interventions with the potential to impact spontaneous preterm birth and to make recommendations for future systematic reviews and clinical research.
A sample preparation protocol for high throughput immunofluorescence of suspension cells

Imaging is a powerful approach for studying protein expression and has the advantage over other methodologies in providing spatial information in situ at single cell level. Using immunofluorescence and confocal microscopy, detailed information of subcellular distribution of proteins can be obtained. While adherent cells of different tissue origin are relatively easy to prepare for imaging applications, nonadherent cells from hematopoietic origin, present a challenge due to their poor attachment to surfaces and subsequent loss of a substantial fraction of the cells. Still, these cell types represent an important part of the human proteome and express genes that are not expressed in adherent cell types. In the era of cell mapping efforts, overcoming the challenge with suspension cells for imaging applications would enable systematic profiling of hematopoietic cells. In this work, we successfully established an immunofluorescence protocol for preparation of suspension cell lines and peripheral blood mononucleated cells (PBMC) and human platelets. The protocol is based on a multi-well plate format with automated sample preparation, allowing for robust high throughput imaging applications. In combination with confocal microscopy, the protocol enables systematic exploration of protein localization to all major subcellular structures.
Effects of Self-Imagery on Cognitive Processes Within Social Anxiety

Cognitive models of social anxiety suggest that negative mental self-imagery maintains social anxiety. Much research posits social anxiety is accompanied by increased negative self-imagery; however, little research investigates self-imagery’s impact beyond performance in social interaction. This study aimed to investigate the relationship between social anxiety and task effectiveness and efficiency using behavioral data and measures of neural activity (i.e., Event Related Potentials). Furthermore, manipulations in self-imagery were used to investigate its moderating effects. Twenty five individuals with high and 23 with low levels of social anxiety completed three selfimagery manipulations and completed a Go/No-go task after each manipulation. Results indicated that individuals with high levels of social anxiety performed equally well as the individuals with low social anxiety. Importantly, those with high levels of social anxiety showed slower reaction times during the task and decreased efficiency of neural recruitment. These results support the attentional control theories assertions that social anxiety is often more associated with poor efficiency than it is with poor effectiveness. Unexpectedly, no interactions with self-imagery were observed, which may suggest that individuals with social anxiety show decreased efficiency, generally, when engaging in self-focused attention. Further research is necessary to determine the potential moderating effects of self-imagery within social anxiety often posited by cognitive models.
Strategic Management in the Formation of the Company Personnel

The article defines the constructive role of strategic management in the formation and development of company personnel. The original model of work with company staff is proposed based on a strategic approach within which the complexity of personnel policy and personnel development strategy for the future is realized. Formalities and applied principles of formation of the personnel strategy of the company are substantiated; recommendations on improving the efficiency of personnel policy are given.
Protective Role of Ashwagandha and Selenium against Chlorpyrifos (CPF) Induced Haemato-Biochemical and Hepatic Alterations in Wistar Rats

Organophosphorus pesticides (OPs) are commonly used in agricultural, industrial and domestic settings (Darwiche et al., 2018). Chlorpyrifos {O,O-diethyl-o-(3,5,6-trichloro2-pyridyl) phosphorothionate-CPF} is a broad spectrum organophosphate insecticide, International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 8 Number 11 (2019) Journal homepage: http://www.ijcmas. com
MJERENJE KVALITETE USLUGA U RURALNOM TURIZMU

Doctoral thesis / Disertacija 2020 Degree Grantor / Ustanova koja je dodijelila akademski / stručni stupanj: University of Rijeka, Faculty of Tourism and Hospitality Management / Sveučilište u Rijeci, Fakultet za menadžment u turizmu i ugostiteljstvu Permanent link / Trajna poveznica: https://urn.nsk. hr/urn:nbn:hr:191:709870 Rights / Prava: Attribution-NonCommercial-NoDerivatives 4.0 International Download date / Datum preuzimanja: 2020-08-28
The role of dermoscopy in non-pigmented skin disorders

The use of dermoscopy in non-pigmented skin disorders includes dermoscopy as a diagnostic tool for non-pigmented skin tumors, inflammatory diseases (inflammoscopy) and/or infectious disease (entomodermoscopy), lesions on nail fold and as a tool to monitor skin reaction as a response to treatment and/or side effect. The diagnosis becomes easier, faster and less expensive with dermoscopy without the need for invasive procedures. Knowledge on vascular pattern and its architectural arrangement; which is coupled with additional dermoscopic features, can aid clinicians to the diagnosis. Dermatoscopy can also predict, monitor and evaluate therapeutical response and/or side effect of skin disorders. Nonetheless, dermoscopy has its limitations. Many of various non-pigmented disorders have more specific clinical features than dermoscopic ones, for clinicians to rely on to establish a diagnosis. Keywords : dermoscopy, non-pigmented disorders, diagnosis
THE CLINICAL PROFILES OF AVIAN INFLUENzA IN ENDEMIC AND NON-ENDEMIC REGIONS IN INDONESIA. HOSPITAL-BASED STUDIES AND ITS IMPLICATION ON CLINICAL MANAGEMENT IN THE FUTURE

Indonesia is a greatest burden country of H5N1 avian influenza (AI) virus infection in the world, since first outbreak in Central Java 2005 until August 2010 there was 168 confirmed cases and 138 dead cases. The incidence increasing rapidly in widespread area endemic in Java, Sumatera, Bali and Sulawesi, and sporadic outbreaks in other areas. The World Health Organization stated that AI still became a treat in the next pandemic. H5N1 AI virus infection spreads in almost all provinces, but its endemic in Jakarta, Tangerang and Banten and in other area such Surabaya, Bali were sporadic outbreaks. There are 27 confirmed H5N1 AI infection cases in Jakarta from 296 suspected cases, while in Surabaya only 5 confirmed H5N1 AI infection cases from 12 suspected cases. The age of patient mean with H5N1 AI infection was 16.9 ± 11.6 yo in Jakarta and 24 ± 8.51 yo in Surabaya. There was no difference between male and female. Mortality rate was 77.7% in Jakarta and 60% in Surabaya. A large number of case has indirect contact history, predominantly by visiting market or areas where outbreaks of poultry disease. The clinical feature H5N1 AI virus infection could manifest as mild until severe pneumonia that often progress rapidly to ARDS. In Jakarta, 74% case showed abnormality chest radiography as bilateral pneumonia, while in Surabaya showed lobar pneumonia and bilateral pneumonia. Management patient of H5N1 AI infection is supportive therapy and antiviral, whereas a large number of cases needed mechanical ventilator support.
Designing an infrastructure for on-premise software deployment: a study case for Thermo Fisher data management platform

Surrounding all Thermo Fisher Scientific equipment, there are a lot of pieces of software that need to be installed and, periodically, updated either to fix bugs or to implement new functionalities. The time required to install and update all these pieces of software is proportional to the number of pieces of software that need to be available. Finding out an approach to, automate the routine of installing and upgrading the microscope’s software is the primary focus of this project. The immediate effects of the implementation of the designed approach are reduction of the time between software release and installation, a more uniform installed base, and an easier procedure to upgrade or revert upgrades.
Challenges and opportunities in the management of portal hypertension

I STATEMENT OF ORIGINALITY . III STATEMENT OF CONTRIBUTION BY OTHERS . III LIST OF PUBLICATIONS . VI LIST OF ORAL AND POSTER PRESENTATIONS . VII ACKNOWLEDGEMENTS . IX ABBREVIATIONS . XII TABLE OF CONTENTS . XVII TABLES . XXIV FIGURES . XXVI GENERAL INTRODUCTION . 1 CHAPTER 1: NON INVASIVE PREDICTION OF PORTAL HYPERTENSION IN PBC . 5 1.
Automated assessment of diadochokinesis and resonance in dysarthrias associated with basal ganglia dysfunction

The speech disruption caused by neurodegenerative disease is termed dysarthria. Previous research has identified dysarthria as one of the earliest and the most common subclinical manifestation associated with neurodegenerative diseases such as Parkinson’s disease (PD), Huntington’s disease (HD), multiple system atrophy (MSA) and progressive supranuclear palsy (PSP). Even though presence of articulatory and resonatory deficits represent an important part of dysarthria manifestations the most widely used methods currently available for the automatic evaluation of speech performance are focused only on the assessment of dysphonia. Therefore the aim of the thesis is to present the automatic assessment of articulatory and resonatory deficits as a useful tool enhancing current approaches of dysarthria analysis. Furthermore, the next goal is to use the objective dysarthria assessment to describe different dysarthria patterns. For this reason, we have examined articulatory deficits from two perspectives: first as the description of fast repetitive moves produced during speech diadochokinetic task (repetition of /pa/, /ta/ and /ka/ syllables) and second one as the description of the velopharyngeal function using a sustained phonation of the vowel /i/. The thesis summarizes the results of several studies and therefore of different participant datasets, including speakers diagnosed with PD, MSA, PSP, HD and healthy control (HC) speakers, which were used for the purposes of articulatory and resonatory deficits
Ethnoveterinary Medicine: A Critical Review of its Evolution, Perception, Understanding and the Way Forward

Livestock industry provides for a major source of livelihood for many people worldwide, particularly the rural poor in developing countries. Ill-health is a major constraint to livestock production and development in rural and peri-urban communities where a half of the world's livestock population is found. Most of these communities live in marginal areas affected with endemic pathogens, vectors and diseases. These areas are not easily accessible to modern veterinary information and services and people are less economically endowed albeit coping with enormous animal health problems. The survival mechanisms and strategies are simply based on people's own local and inherent centuries' old knowledge that has withstood the test of time in all aspects of human evolutionary life. Any attempts to improve the lives of these people through livestock industry, must therefore begin by understanding and recognizing the evolution, application and management of ethnoveterinary medicine in their cultural lifestyle. This approach offers sustainable strategies directed towards developing sound and appropriate animal health care systems suitable and relevant to rural communities in improving livestock performance and production and hence, livelihood. In addition, there would be environmental conservation and management strategies for achieving sustainability, availability, accessibility and affordability of existing ethnoremedies and ethnopractitioners. Strategizing community development programmes by building on ethnoknowledge concepts as known and practiced by people, it is by no doubt that feasible and sustainable development programmes will be successfully planned, developed, implemented and managed without external input. To effect and maintain a community-based sustainable livestock production system, it is crucial to learn, evaluate and without being biased and ethnocentric, promote and integrate the beneficial facets of traditional animal health care practices into current primary livestock health care delivery services. This paper reviews and highlights ​ some historical developments in understanding and recourse to ethnoveterinary medicine and the way forward. ​
Users versus Cloud Service Providers, on the Trust, Threats, Confidentiality and Reliability in Using Cloud Computing Services

Cloud Computing refers to applications and services that run on a distributed network using virtualized resources and accessed by common protocol and networking standards. Cloud computing, abstracts the details of system implementation from users and developers. Cloud computing is portioned in three different types of service provision. In each case, the service is hosted remotely and accessed over the network (usually the internet) through software called a web browser, rather than been installed locally on a customer’s computer. the first among the service is; SaaS (Software as a service), which refers to the provision of software in the cloud. Secondly, PaaS (Platform as a service), refers to the provision of service that enables customers to deploy in the supply. Thirdly, IaaS (Infrastructure as a service) refers to services providing computer processing power, storage space and network capacity, which enables customers to run arbitrary software (including operating systems and network applications) in the cloud. Moreover, there is a need for cloud computing in the society today to obtain an optimum service. APA referencing format was used to acknowledge those who have done some work in this area. The method adopted for the analysis of the system in this project work questionnaire development is sampling and data collection. The intention of this project work is of two folds; first; to identify the level of trust the users have in using cloud computing services; secondly; to identify the societal challenges for adopting cloud computing, and the solutions from real-world for the challenges that do not have proper mitigation strategies identified through literature review.
Predicting Drug Disposition by Integrating In Vitro and In Silico Methodology

Author(s): Hosey, Chelsea Mariah | Advisor(s): Benet, Leslie Z | Abstract: The safety and efficacy of drugs depend upon appropriate dosing of drugs made possible by understanding the dispositional profile a drug will follow. A drug’s disposition includes its absorption from an administration site, its distribution throughout the body, and its elimination from the body, characterized by metabolism and excretion. Disposition is often mediated by drug metabolizing enzymes and drug transporters. Alterations in the expression or activity of metabolizing enzymes and transporters can therefore affect the safety or efficacy of a drug and it is necessary to characterize their impact on every drug. The Biopharmaceutics Drug Disposition Classification System (BDDCS) uses the extent of metabolism and solubility of drugs to predict drug disposition, including when transporters and metabolizing enzymes are clinically relevant. Here, we utilized observations from this system to predict the three major routes of drug elimination (metabolism, renal excretion of unchanged drug, and biliary excretion of unchanged drug). These predictions were made by integrating in vitro measurements of permeability rate to predict the extent of metabolism with an in silico logistic regression model we developed that uses calculated polarizability and predicted metabolic stability to predict when poorly metabolized compounds will be eliminated in the urine or the bile. This approach correctly identified 72 ± 9%, 85 ± 2%, and 73 ± 2% of extensively metabolized, biliarily eliminated, and renally eliminated drugs, respectively. We discuss the physiological context through which permeability, polarizability, and metabolic stability may inform the major elimination route. We further developed a model predicting BDDCS class using commercially available in silico models of permeability rate to predict the extent of metabolism and dose number to predict the solubility class. This approach correctly identified 54.1%, 57.8%, 69.3%, and 45.2% of class 1, 2, 3, and 4 drugs, respectively, while in vitro approaches predict with greater accuracy. We correct previously misclassified drugs, discuss reasons for misclassification, incorporate more than 175 additional drugs into the system, and discuss how BDDCS can self-correct when observed and predicted dispositional effects are not aligned. We conclude by reflecting on the demonstrated and potential applications of BDDCS and the importance of predicting drug disposition.
‘Addicted to being cool’: occasional smoking in a western context of tobacco denormalization

Abstract Background: Although the prevalence of daily smokers are decreasing and there are signs of increasing stigma attached to smoking, occasional smoking rates have remained surprisingly stable. The increasing proportion of smokers who do not smoke daily emphasize the importance of understanding the reasoning behind this pattern of smoking. We explored how young adult occasional smokers in Norway viewed and defined their smoking and how they managed their smoker identities in a western context of tobacco denormalization. Methods: 17 young adult occasional smokers (aged 24–31) were interviewed in-depth about smoking practices, attitudes towards smoking and occasional smoking in relation to self-presentation and social image. Findings: The occasional smokers told detailed stories of how, when and in what situations they smoked, and in this, positioned their smoking as controlled and different from stigmatized daily smoking. Drinking situations were the most important context for occasional smoking, and they described occasional smoking and drinking alcohol in similar ways: as letting control go in a controlled way. Occasional smoking was positioned as a symbol of individualism and of transgression. Conclusion: Strategies aiming at repositioning occasional smoking as uncool may be relevant to motivate occasional smokers to quit. Because alcohol plays such an important role in facilitating occasional smoking, extending smoke-free areas outside bars could also be a way to reduce occasional smoking.
Detection of Antibodies to Human Herpesvirus 8 (HHV-8) among Women of Child-Bearing Age in the Apulia Region (South-Eastern Italy)

In this study the authors investigated the presence of serum antibodies to Human Herpesvirus 8 (HHV-8) in a group of women of child-bearing age in the Apulia region (South Eastern Italy). A seroprevalence of 16.8% was observed, increasing, although non significantly, with the age of the women (10.6% in women between 19 and 25 years, 25.3% in women aging more than 35 years). The presence of antibodies to Hepatitis C Virus (HCV) was significantly associated to the detection of antibodies to HHV-8. Possible mother-to-child transmission of HHV-8 as well as the outcome of fetuses or children born to HHV-8 positive mothers are still a matter of debate. This study, showing the wide diffusion of HHV-8 infection in healthy women of child-bearing age in our geographical area, highlights the urgency of studies aimed to better clarify these relevant topics.
Very‐large‐scale integration implementation of a convolutional neural network accelerator for abnormal heartbeat detection

In this study, a very-large-scale integration implementation of a convolutional neural network (CNN) inference for abnormal heartbeat detection was proposed. Four-lead electrocardiogram signals were used to detect abnormal heartbeat conditions, such as premature ventricular complex. 1D CNNs and fully connected layers were utilised in the proposed chip to achieve high-speed, small-area, and high-accuracy arrhythmia detection. The proposed chip was implemented using a 90-nm complementary metal-oxide-semiconductor process and operated at 125 MHz with a 0.67 mm 2 core area. The power consumption was 4.18 mW at high-speed operation frequency (125 MHz) and 3.79 μ W at 10 kHz for low-power applications. The detection accuracy was 95.14 % based on the MIT-BIH arrhythmia database. Consequently, the properties of high speed, low power, small area, and high accuracy were established in the proposed accelerator chip.