<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dcterms="http://purl.org/dc/terms/">
<rdf:Description rdf:about="https://omeka.ibu.edu.ba/items/show/3516">
    <dcterms:title><![CDATA[Prevalence of rs2108622 (CYP4F2*3) Single Nucleotide Polymorphism – A Review]]></dcterms:title>
    <dcterms:abstract><![CDATA[Cardiovascular diseases are known to be treated with anticoagulants lifelong. Warfarin is one of the most commonly used medications for anticoagulation despite causing serious side effects in some patients. Different single nucleotide polymorphisms (SNPs) that have a role in the cytochrome P450 system can also affect the metabolism, as well as dosing, of warfarin. The purpose of this review is to look into the prevalence of this SNP in the past research and screen for possible correlations with age, place of origin, family history of cardiovascular and cerebrovascular diseases, or other medical conditions possibly present in various populations. In total, 20 scientific articles falling under the inclusion criteria were reviewed and found usable, and the rest of the cases will be highly beneficial in the upcoming years to determine the role of the recently discovered CYP4F2 rs2108622 variant, as well as the previously known CYP2C9 and VKORC1 SNPs, in the variance of warfarin dose requirement. These findings may also point researchers in the right direction for qualifying and validating these genetic variants for use as GBs (genomic biomarkers) in the clinical and medical practice of treatment with warfarin.]]></dcterms:abstract>
    <dcterms:publisher><![CDATA[International Burch University]]></dcterms:publisher>
    <dcterms:language><![CDATA[English language]]></dcterms:language>
    <dcterms:type><![CDATA[Literature review]]></dcterms:type>
    <dcterms:identifier><![CDATA[ISSN 2637-2835 ]]></dcterms:identifier>
</rdf:Description><rdf:Description rdf:about="https://omeka.ibu.edu.ba/items/show/3515">
    <dcterms:title><![CDATA[Depression and Anxiety Analysis and Prediction using Big Data Technologies]]></dcterms:title>
    <dcterms:abstract><![CDATA[COVID-19 pandemic brought many changes in people’s lifestyles. Some of those changes hurt people&#039;s mental health in different age groups. This research is done to investigate which factors contributed most to the occurrence of depressive and anxiety symptoms during COVID-19 lockdown, and what type of people in terms of age, sex, level of education, place of living, was the most exposed to the appearance of mental health disorders. 1115 people (18-85 years old) from Poland joined the research process. They fulfilled online questionnaires which were used as a basis for further research of lockdown impact on mental health. Responses are evaluated by using ML tools predicting the group of participants with signs of depression and<br />
anxiety, based on their answers to the questionnaires, and the attributes of the participants. Based on the results given by the studies, the youngest population (age 18-29), which participated in the surveys, experienced more intense depression and anxiety symptoms than participants from other age groups.]]></dcterms:abstract>
    <dcterms:publisher><![CDATA[International Burch University]]></dcterms:publisher>
    <dcterms:language><![CDATA[English language]]></dcterms:language>
    <dcterms:type><![CDATA[Original research]]></dcterms:type>
    <dcterms:identifier><![CDATA[ISSN 2637-2835]]></dcterms:identifier>
</rdf:Description><rdf:Description rdf:about="https://omeka.ibu.edu.ba/items/show/3514">
    <dcterms:title><![CDATA[Recommendation Engine on IPTV]]></dcterms:title>
    <dcterms:abstract><![CDATA[In recent years IPTV (Internet Protocol Television) platforms are becoming one of the most popular entertainment multimedia services which are used to serve movies, tv-series and other video and audio attractive content using the Internet Protocol. VoD (Video on Demand) is the most popular multimedia IPTV service, which provides content without the need for the old traditional way of using video playback devices. Except that it is necessary to have high-quality VoD content, IPTV platforms must provide the best end-user experience. Moreover, it is imperative to provide new features to attract new customers and keep the existing ones. We confirmed the efficacy of this classifier thru simple trial and error. When we searched for movies that have sequels, our engine recommended those sequels. Since Cosine Similarity Classifier considers multiple factors, such as actor, genre, year, etc. Even if the movie does not have prequels or sequels this algorithm was able to provide us with movies that share other common<br />
characteristics.]]></dcterms:abstract>
    <dcterms:publisher><![CDATA[International Burch University]]></dcterms:publisher>
    <dcterms:language><![CDATA[English language]]></dcterms:language>
    <dcterms:type><![CDATA[Original research]]></dcterms:type>
    <dcterms:identifier><![CDATA[ISSN 2637-2835]]></dcterms:identifier>
</rdf:Description><rdf:Description rdf:about="https://omeka.ibu.edu.ba/items/show/3513">
    <dcterms:title><![CDATA[Machine Learning-Based Gene Clustering on Brain Cancer Using K-Means and Hierarchical Clustering Methods]]></dcterms:title>
    <dcterms:abstract><![CDATA[K-means and hierarchical clustering algorithms are employed to cluster genes according to the gene expression to determine the harming level of the genes in brain cancer. The gene expression data with a control group from The Cancer Genome Atlas database were used. The optimal cluster number for each clustering technique was obtained using the elbow method and dendrogram for K-means and hierarchical clustering methods respectively. We identified the ideal number of clusters as three and further classified them into seven groups. We observed that the second cluster contains over half the genes in healthy people and the cluster distribution of a healthy patient and a patient who died six months after being diagnosed with brain cancer is similar. Further analysis indicated that of all the time spent by patients after<br />
being diagnosed with brain cancer, group 0 has the highest percentage in one month after the diagnosis, while group -2 has the lowest percentage. Most genes shift their clusters when Kmeans and hierarchical clustering techniques we compared with the genes from the control and disease groups. The result of the measure of dissimilarity between the genes expression patterns indicates that the K-means technique outperforms the hierarchical technique with a higher rate<br />
of change in the cluster.]]></dcterms:abstract>
    <dcterms:publisher><![CDATA[International Burch University]]></dcterms:publisher>
    <dcterms:language><![CDATA[English language]]></dcterms:language>
    <dcterms:type><![CDATA[Original research]]></dcterms:type>
    <dcterms:identifier><![CDATA[ISSN 2637-2835]]></dcterms:identifier>
</rdf:Description><rdf:Description rdf:about="https://omeka.ibu.edu.ba/items/show/3512">
    <dcterms:title><![CDATA[Prediction of Solved Homicides Using Classification Method]]></dcterms:title>
    <dcterms:abstract><![CDATA[Homicide rates are still high in the world and they are the worst crime in human existence. Despite all the technological advances and usage of information by various agencies, the number of homicides is not decreasing. Homicide prediction in certain countries should notably be the number one priority, which can help the government to easily identify the kind of profile they are looking for, or even help them prevent those cases. This paper compares different Machine Learning Techniques classifications of homicide prediction. Random Forest (RF), Random Tree, J48, Naive Bayes and k-Nearest-Neighbor (KNN) were tested to determine which method provides the best results in homicide prediction classification. The results of sample accuracy for all algorithms were around 99%, which clearly shows that all algorithms give great results. However, J48 is the best technique applied on the dataset, as it classified all instances correctly.]]></dcterms:abstract>
    <dcterms:publisher><![CDATA[International Burch University]]></dcterms:publisher>
    <dcterms:language><![CDATA[English language]]></dcterms:language>
    <dcterms:type><![CDATA[Original research]]></dcterms:type>
    <dcterms:identifier><![CDATA[ISSN 2637-2835 ]]></dcterms:identifier>
</rdf:Description><rdf:Description rdf:about="https://omeka.ibu.edu.ba/items/show/3511">
    <dcterms:title><![CDATA[Frequency Locked Loop in Estimating Active, Reactive and Apparent Powers]]></dcterms:title>
    <dcterms:abstract><![CDATA[ In this paper, a new power calculation method has been presented. This method is based on a second-order generalized integrator frequency locked loop (SOGIFLL) and has enhanced features over classical methods for power calculation widely used in industry. The FLLs have a wide variety of applications such as power<br />
converters, grid synchronization, sensorless flux estimation, and control of motor drives. The nature of the FLL allows for it to be a potentially perfect calculation method for power calculation. The obtained results showcase the effectiveness of the proposed power calculation method.]]></dcterms:abstract>
    <dcterms:publisher><![CDATA[International Burch University]]></dcterms:publisher>
    <dcterms:language><![CDATA[English language]]></dcterms:language>
    <dcterms:type><![CDATA[Original research]]></dcterms:type>
    <dcterms:identifier><![CDATA[ISSN 2637-2835]]></dcterms:identifier>
</rdf:Description><rdf:Description rdf:about="https://omeka.ibu.edu.ba/items/show/3510">
    <dcterms:title><![CDATA[Analysis of High School Graduate Data Using Database Analytics Tools]]></dcterms:title>
    <dcterms:abstract><![CDATA[It can be confidently stated that access to education is one of the most prized possessions available to us today. Although there are underlying factors such as the discrepancies in the education being provided worldwide, it is imperative that data scientists and all those interested take advantage of the data publicly available to draw necessary insights into how to better the education sector in our respective countries. The purpose of this research is to showcase various analytical insights into the 2020 New York State (NYS) high school graduation rate data using various advanced database systems techniques, specifically using SQL. With these analyses, further studies and conclusions can be drawn for local governments to implement into their plans to increase the quality of the schooling system, to aim for equality for all without regard to cultural and ethnic background, and to find discrepancies within the current system.&lt;/div&gt;<br />
&lt;quillbot-extension-portal&gt;&lt;/quillbot-extension-portal&gt;]]></dcterms:abstract>
    <dcterms:publisher><![CDATA[International Burch University]]></dcterms:publisher>
    <dcterms:language><![CDATA[English language]]></dcterms:language>
    <dcterms:type><![CDATA[Original research]]></dcterms:type>
    <dcterms:identifier><![CDATA[ ISSN 2637-2835]]></dcterms:identifier>
</rdf:Description><rdf:Description rdf:about="https://omeka.ibu.edu.ba/items/show/3509">
    <dcterms:title><![CDATA[The Potential of Biomaterial-Based Solutions in Cancer Research and Treatment<br />
]]></dcterms:title>
    <dcterms:abstract><![CDATA[Cancer is a very troubling disease due to its unique morphological characteristics,<br />
capacity for drug resistance, and immunosuppressive abilities. Traditional methods used both for research of cancer and its subsequent treatment have fallen short of being able to accurately understand and ultimately defeat cancer within the body. Biomaterials present a unique solution to many problems associated with cancer. The use of biomaterials in cancer cell modeling has promoted a better understanding of tumor microenvironments. Biomaterials can also serve as drug and adjuvant carriers that are more likely to reach their target cancer cells. Many biomaterials also have standalone antitumor properties, and can also help in modulating the immune response, triggering various immune cells to attack cancerous cells. Naturally derived biomaterials include polysaccharides, lipids, polypeptides, vitamin E derivatives, and even plant extracts like curcumin. Biomaterial-based cancer treatments tend to have a longerlasting and more dependable effect inside the body and can come in many different forms, from polymeric scaffolds to injectable nanoparticles.]]></dcterms:abstract>
    <dcterms:publisher><![CDATA[International Burch University]]></dcterms:publisher>
    <dcterms:language><![CDATA[English ]]></dcterms:language>
    <dcterms:type><![CDATA[Literature review]]></dcterms:type>
    <dcterms:identifier><![CDATA[2637-2835 ]]></dcterms:identifier>
</rdf:Description><rdf:Description rdf:about="https://omeka.ibu.edu.ba/items/show/3508">
    <dcterms:title><![CDATA[Effect of metals on antibiotic sensitivity, growth, and biofilm-forming capacity of B. subtilis subsp. spizizenii<br />
]]></dcterms:title>
    <dcterms:abstract><![CDATA[B. subtilis is normally considered a soil organism, it can be also found in the animal and<br />
human gastrointestinal tract. Bacillus subtilis subsp. spizizenii is a type of Bacillus subtilis complex.<br />
It shares up to 99% of homology with B. subtilis CU1, which can be represented as a probiotic<br />
strain. Metal compounds found in soil or used in agriculture can easily enter the food chain and end<br />
up in our gut. Gram-positive bacteria (e.g. Bacillus spp.) have good adsorptive capacity for metals<br />
due to high peptidoglycan and teichoic acid content in cell walls. There is some evidence that<br />
certain metals inside the intestine play an important role in influencing growth and functionality of<br />
specific probiotic strains. Some of them have inhibitory, while others have an activating effect on<br />
bacteria. This study revealed that metal compounds increased antibiotic susceptibility of B. subtilis<br />
subsp. spizizenii. Higher concentrations of metal solutions inhibited growth of tested bacteria.<br />
Culture did not show affinity to form biofilms before or after addition of metal solutions]]></dcterms:abstract>
    <dcterms:identifier><![CDATA[2637-2835]]></dcterms:identifier>
</rdf:Description><rdf:Description rdf:about="https://omeka.ibu.edu.ba/items/show/3507">
    <dcterms:title><![CDATA[INFLUENCE OF THE DISTRIBUTED GENERATION ON THE POWER QUALITY IN DISTRIBUTION NETWORK<br />
]]></dcterms:title>
    <dcterms:abstract><![CDATA[The aim of this paper is to present and discuss the influence of distributed generation on<br />
power quality. Nowadays, interest in power quality has increased since it has become a very<br />
important issue in power system delivery. One of the major problems of ensuring a certain level of<br />
power quality are harmonics. The aim of this project is to investigate an impact of photovoltaic<br />
(PV) on harmonic voltage distortion (HD) in real MV distribution network. Different scenarios will<br />
be implemented where solar power plant is going to be modelled with high variability of load and<br />
generation to see their effects on the systems power quality (PQ). Those scenarios are when PV is<br />
disconnected from the grid and PVs are connected with 2 different powers. Results presented below<br />
showed that PV improves power quality of the system, because their inverters are source of<br />
harmonics and they increase HD. However, that impact is not very significant and harmonic limits<br />
are not violated. A load flow analysis is done for the model of test system 110/35/10kV in which a<br />
distributed generator is added, that is on-grid or off-grid. The network modelling and simulation is<br />
done in DIgSILENT PowerFactory software.]]></dcterms:abstract>
    <dcterms:identifier><![CDATA[2637-2835]]></dcterms:identifier>
</rdf:Description></rdf:RDF>
