Miracle-dz/UniFAR-FTUs huggingface dataset:
Nasal Carriage of Staphylococcus aureus among Paramedical Students in Alexandria and Evaluation of Dry Spot Staphytect Latex Kit as a Rapid Screening Method for Staphylococcus aureus

Background: Staphylococcus aureus ( S. aureus) is a common cause of nosocomial and community acquired infections worldwide. Nasal carriage of S. aureus acts as an endogenous reservoir for clinical infections in the colonized individual and also as a source of cross-colonization for community spread. Infections caused by S. aureus range clinically from minor skin infections to severe life threatening infections; with mortality rates ranging from 6 to 40 %. Treatment of staphylococcal infections has now become more challenging with emergence of methicillin resistant S. aureus (MRSA) strains; which are often also multidrug-resistant. Objectives: The present study was conducted to screen for the prevalence rate of nasal carriage of S. aureus among paramedical students studying at the Faculty of Allied Medical Sciences, Pharos University, Alexandria, Egypt. The study also aimed at studying the validity of Dry Spot Staphytect Latex Kit as a rapid screening test for identification of S. aureus. Methods: Nasal swabs were collected from 100 volunteer students over a period of three months (February-April 2015). Swabs were cultured both on blood agar and mannitol salt agar and all isolates that were confirmed microscopically and biochemically as S. aureus were tested for antibiotic sensitivity using modified Kirby Bauer technique. Dry Spot Staphytect Latex Kit was evaluated as a rapid method for identification of S. aureus, setting the positive result of tube coagulase test as a gold standard. Results: The nasal carriage rate of S. aureus detected was 34%, 18 % of which were MRSA strains. The highest level of sensitivity to antibiotics among S. aureus isolates was recorded for vancomycin and mupirocin, (97.1%) each. Regarding MRSA strains, 100% were sensitive to mupirocin and 100% were resistant to oxacillin. Dry Spot Staphytect Latex Kit had a sensitivity of 97.06 %, a specificity of 96.97 %, a positive predictive value of 94.29 %, a negative predictive value of 98.46 % and an accuracy of 97 % in rapid identification of S. aureus. Conclusion: Paramedical university students are a high risk group for nasal carriage of S. aureus and MRSA. Dry Spot Staphytect latex test is recommended for use as an efficient rapid, sensitive, specific and accurate screening test for S. aureus and MRSA. Key words: S. aureus , MRSA, nasal carriage, paramedical students, Dry Spot Staphytect Latex Kit
Resultaat van de Verzorgingsstaat: leefbaarheid en gelijkheid

textabstractSAMENVATTING De substantiele rationaliteit van beleid kan worden afgemeten aan de mate waarin ideele doelstellingen worden gerealiseerd en aan de leefbaarheid van de samenleving die dat oplevert. Beleid dat zijn eigen doelstellingen niet haalt is niet rationeel; beleid dat die doelstellingen wel haalt maar daardoor een onleefbare maatschappij schept evenmin. Vanuit dit gezichtspunt wordt gekeken naar de resultaten van het geheel aan sociaal beleid dat gestalte heeft gekregen in de zgn. verzorgingsstaten. Hiertoe wordt een vergelijking gemaakt van 23 hedendaagse 1e wereldlanden. Er wordt nagegaan of de meest uitgesproken verzorgings-staten daaronder zich onderscheiden door een grotere gelijkheid in levenskansen (een belangrijk ideaal-doel) en een grotere leefbaarheid. Noch het een noch het ander blijkt het geval. De verzorgingsstaten doen het niet beter dan landen waar de overheid zich terughoudend opstelt, maar ook niet slechter.
Joint modelling of longitudinal and survival data on breast cancer

Joint Modelling of Longitudinal and Survival Data on Breast Cancer The main motivation of this work is to contribute to the understanding of the progression of breast cancer, within the Portuguese population, using a statistical model with more complex assumptions than the traditional analysis. We aim to infer which risk factors affect the survival of Braga’s Hospital patients, diagnosed with breast tumour. While analysing risk factors that affect two tumour markers used on the surveillance of disease progression the Carcinoma Antigen 15-3 (CA 15-3) and the Carcinoembryonic antigen (CEA). We take into account the expected association between the progressions in time of each tumour markers with patient’s survival. A data set of 540 patients, along with 50 variables, was collected from medical records of the Hospital. For survival analysis it was applied the proportional hazards Cox model and the Royston-Parmar flexible parametric model. General linear mixed effects longitudinal models were used to study the progression of both tumour markers values. After conducting survival and longitudinal separate analysis, a joint modelling of these two processes to infer on the association of these was conducted, adopting the methodology of random effects. Results from joint models, showed that the longitudinal CA-15-3 and CEA values were significantly associated with the survival probability of these patients. We conclude that independent analysis brings up bias parameter estimates and an assumption of association between the two processes in a joint model of breast cancer data is necessary.
Deep Neural Network を用いた株式売買戦略の構築

1. はじめに 近年,楽曲検索のニーズが高まり,歌詞やメ ロディの一部をクエリとした検索サービスも登 場している. しかし,「演奏楽器」の情報を積 極的に利用した楽曲検索システムの研究・開発 例はそれほど多くない. 文献[1]では,楽器構成 の推定とそれに基づく楽曲検索について論じて おり,その有効性を示している. 更に詳細な楽 器の時間構造情報(楽器の登場順や演奏のタイ ミングなど)を導入できれば,ユーザは「冒頭 はドラムがメインで,その後ギターが入る曲」 といった,より「こだわった」クエリによる検 索が可能となる. このような検索の実現のため には対象の楽曲から,各楽器の演奏区間の時間 情報を自動的かつ高精度に検出する必要がある. そこで本研究では,高精度な楽器演奏区間検 出手法の実現を目指し,多階層のニューラルネ ットワークである Deep Neural Network(DNN) を利用した手法を提案する. 具体的には,近年 音声認識分野で高い性能が報告されている DNNHMM法[2]を利用し,高精度な検出を試みる.
Profile of Urinary Tract Infections and Resistance Patterns in a Tertiary Care Hospital in India

Urinary tract infection (UTI) is one of the common infections worldwide which are more common in women than in men (Mihankhah Abbas et al., 2017). It remains a major public health problem in terms of morbidity with an estimated 150 million cases annually worldwide, costing global economy in excess of 6 billion US dollars (Gonzalez and Schaeffer, 1999). UTI is defined as presence of bacteria in urine along with urinary symptoms like dysuria, frequency, urgency and occasionally suprapubic tenderness (Dash Muktikesh et al., 2013). It may involve the lower or upper urinary tract. UTI occurring in premenopausal and non-pregnant women and in people with no known urological abnormalities are classified as uncomplicated, while others are considered complicated UTI (Hsueh et al., 2011).
Mechanical properties of coating layers

Nous avons elabore un modele des proprietes mecaniques des sauces de couchage contenant du CaCO 3 en poudre et un latex de styrene-butadiene en nous fondant sur la teneur en latex et la porosite Nous avons presume que les particules de pigments etaient rigides, spheriques et organisees en un amas cubique a faces centrees, et qu'elles etaient reliees entre elles par des ponts de latex cylindriques. Nous avons utilise la modelisation micromecanique pour calculer la rigidite de la couche. Les calculs de la rigidite compressive effectues a l'aide de diverses formulations et porosites de la sauce de couchage ont revele que des parametres autres que la teneur en latex (porosite et microstructure) avaient une influence sur la rigidite et la resistance de la couche. Augmenter la teneur en latex ne ferait qu 'accroitre la rigidite de la couche en autant si elle est accompagnee d'une diminution correspondante de la porosite.
The Impact of Social Media on Children, Adolescents, and Families

Using social media Web sites is among the most common activity of today's children and adolescents. Any Web site that allows social interaction is considered a social media site, including social networking sites such as Facebook, MySpace, and Twitter; gaming sites and virtual worlds such as Club Penguin, Second Life, and the Sims; video sites such as YouTube; and blogs. Such sites offer today's youth a portal for entertainment and communication and have grown exponentially in recent years. For this reason, it is important that parents become aware of the nature of social media sites, given that not all of them are healthy environments for children and adolescents. Pediatricians are in a unique position to help families understand these sites and to encourage healthy use and urge parents to monitor for potential problems with cyberbullying, “Facebook depression,” sexting, and exposure to inappropriate content.
Analitik Hiyerarşi Yaklaşımı ile Otomobil Seçimi

Gunumuz otomobil sektoru tuketicilere cok cesitli marka ve modeller sunmaktadir. Marka ve modeller arasinda fiziksel donanim ve sekil yonuyle onemli olcude farkliliklar gorulmektedir. Tuketicilerin bir otomobilde aradiklari ozellikler de cok cesitlidir. Cok sayida secenegin ve kriterin bulundugu boylesi bir ortamda tuketiciler otomobil satin alirken karar vermede zorlanmaktadirlar. Bu calismada, otomobil secimi sorununa Analitik Hiyerarsi Yaklasimi (AHY) ile bir cozum onerisi sunulmustur. Onerilen AHY’ de objektif kriterlerin yanisira tuketiciye iliskin bulanik subjektif degerler de dikkate alinmistir. Ayrica, otomobil satin almak isteyen bir tuketici icin uygulama yapilmistir. Uygulama sonuclarindan tuketicinin cok memnun kaldigi gozlenmistir.
Algorithm and architecture for simultaneous diagonalization of matrices applied to subspace-based speech enhancement

This thesis presents algorithm and architecture for simultaneous diagonalization of matrices. As an example, a subspace-based speech enhancement problem is considered, where in the covariance matrices of the speech and noise are diagonalized simultaneously. In order to compare the system performance of the proposed algorithm, objective measurements of speech enhancement is shown in terms of the signal to noise ratio and mean bark spectral distortion at various noise levels. In addition, an innovative subband analysis technique for subspace-based time-domain constrained speech enhancement technique is proposed. The proposed technique analyses the signal in its subbands to build accurate estimates of the covariance matrices of speech and noise, exploiting the inherent low varying characteristics of speech and noise signals in narrow bands. The subband approach also decreases the computation time by reducing the order of the matrices to be simultaneously diagonalized. Simulation results indicate that the proposed technique performs well under extreme low signal-to-noise-ratio conditions. Further, an architecture is proposed to implement the simultaneous diagonalization scheme. The architecture is implemented on an FPGA primarily to compare the performance measures on hardware and the feasibility of the speech enhancement algorithm in terms of resource utilization, throughput, etc. A Xilinx FPGA is targeted for implementation. FPGA resource utilization re-enforces on the practicability of the design. Also a projection of the design feasibility for an ASIC implementation in terms of transistor count only is included
MEN'S KNOWLEDGE ON DANGER SIGNS OF OBSTETRIC COMPLICATIONS: THE CASE OF MUSOMA DISTRICT, MARA REGION - TANZANIA

Studies have contributed to determine the status of women’s knowledge over the danger signs of obstetrics complications. But this study aimed at determining the status of knowledge and awareness of the danger signs of obstetric complications amongst men and to identify associated factors. A cross sectional study conducted in Musoma district in Mara region, where a total of 306 adult men whose female partners delivered a baby in the preceding year of the study were interviewed. Consecutive house to house survey was done to achieve study sample size. Logistic regression model was fitted to determine the association between knowledge of danger signs of obstetric complications against a set of possible determinants while controlling for confounding and clustering effect. This study revealed that 32% of men were found to have knowledge of danger signs of obstetric complications. In addition 45% of men who attending ANC clinic and received health talk were found to be knowledgeable than those who do not (pvalue 0.044). The likelihood of knowledge of danger signs of obstetric complications increased two folds higher for men who accompanied their spouses to the post-natal clinics (OR 1.88, pvalue 0.054). Men who were able to write and read were 50% higher the likelihood of having knowledge on danger signs of obstetric complications than those who were illiterate (OR 1.49, 95%, CI, p-value 0.004). There were no observed relations when knowledge of danger signs was compared with age of respondents, level of education, ability to read and write duration and types of relationship and preparations prior delivery. Thus there is need to expand investment in educating men, so that more men are informed of the correct information regarding danger signs of obstetric complications. That will improve on informed decisions which positively impact to reduce maternal mortality and morbidity. However, this study recommends the use of media and particularly radio to expedite dissemination of educative messages to reach more men.
Legionellosis in the Immunocompromised Patient

Legionella pneumophila was discovered in early 1977 by McDade and coworkers as the causative organism for an outbreak of acute pneumonia that occurred during the state American Legion Convention in Philadelphia the previous summer. It was soon clear that this organism was also responsible for earlier outbreaks of disease for which no cause had been found. Subsequendy, other species of Legionella were associated with acute illness, and this number continues to expand. As our knowledge has increased, it has become clear that immunocompromised hosts, particularly those patients receiving cytotoxic drugs and corticosteroids, are at increased risk for acquiring Legionella pneumonia. In fact, almost all the cases of infection due to one species, L. micadei, occur in immunosuppressed patients. Additionally, Legionella species may be responsible for a significant number of nosocomial-acquired cases of pneumonia. Infection with Legionella occurs in two distinct epidemiologic patterns. The first is an acute pneumonia that affects a small percentage of those exposed, has an incubation period of 2 to 10 days, and a case-fatality ratio of 20%. The second pattern, called Pontiac fever, is a benign, self-limited influenza-like illness affecting up to 9596 of those exposed and with an incubation period of 1 to 2 days. Pontiac fever has not been a major disease among immunocompromised patients and will not be discussed further. In the following sections, the term "legionellosis" will refer generally to any infection caused by Legionella species and, in particular, to the acute pneumonia caused by these organisms. MICROBIOLOGY
Interaction and visualization methods in teaching spatial algorithms and analyzing spatial data

Aalto University, P.O. Box 11000, FI-00076 Aalto www.aalto. fi Author Jussi Nikander Name of the doctoral dissertation Interaction and Visualization Methods in Teaching Spatial Algorithms and Analyzing Spatial Data Publisher School of Science Unit Department of Computer Science and Engineering Series Aalto University publication series DOCTORAL DISSERTATIONS 134/2012 Field of research Software systems Manuscript submitted 17 April 2012 Date of the defence 9 November 2012 Permission to publish granted (date) 14 September 2012 Language English Monograph Article dissertation (summary + original articles) Abstract This thesis investigates the benefits of using interactive techniques and visualization in GIS. The thesis consists of two studies: in the first study the topic is teaching spatial data algorithms, and in the second performing spatial analysis.This thesis investigates the benefits of using interactive techniques and visualization in GIS. The thesis consists of two studies: in the first study the topic is teaching spatial data algorithms, and in the second performing spatial analysis. In the first study, the main research question was how software visualization can be used to help geoinformatics students learn spatial data structures and algorithms. In order to test this question, the TRAKLA2 learning environment for data structures and algorithms was expanded to include spatial data algorithms. Using the system, the students practice how spatial algorithms and data structures work by simulating the modifications an algorithm does to a data structure. The system has been used in an actual spatial data algorithms course, and its effect on the students' learning results has been evaluated using both quantitative and qualitative methods. Quantitative methods were used to compare the students' learning results in the system to their results in exams; qualitative methods were used for content analysis and analyzing student interviews using semi--structured interview method. The results gained indicate that visual learning environments can be used to help teaching spatial data algorithms. The topic of the second study is exploratory methods, their use in solving suitability problems, and the new information that can be gained by using them. In a suitability problem the goal is to categorize locations based on how well they fit the criteria for some activity. To test these questions a prototype for a flexible spatial analysis was implemented. The prototype is based on the ideas of exploratory analysis and visual analytics, and contains simple analysis tools. The developed system has been used to analyse the off-road mobility of vehicles using an armored personnel carrier as the example vehicle. The results have been evaluated by comparing them to an existing mobility model created by Finnish Defense Forces, and by expert evaluation of the analysis results. The results indicate that exploratory methods work just as well as traditional model-based approaches.
Inference of User-Facing Packets from Network Traffic

This thesis presents a technique to determine whether a user is actively interacting with a device from inside the network. By the observation of user's traffic, network operators can use the detection method to improve traffic management by prioritizing user facing flows. Understanding whether a user is using a device from inside the network requires separating user generated traffic from the one that is automatically generated by a machine in the background. To accomplish this, we apply three filtering methods, looking at request URLs and at the inter events distance and periodicity. Using real world data from eight devices in the UK collected with a tool capable of recording not only network traffic, but also user input, we show how our method separates the traffic generated by the user.
Predicting incident duration using random forests

This paper presents the development of a new model for predicting traffic incident duration using random forests (RFs), a data-driven machine learning technique. Utilizing an extensive dataset with over 140,000 incident records and 52 variables, the developed models were optimized by fine-tuning their parameters. The best-performing RF model achieved a mean absolute error (MAE) of 36.652 min, which is acceptable given the wide range of incident duration considered (1–1,440 min). Another set of models was developed using a short range of 5- to 120-minute incident duration. The performance of the best models for the short range improved significantly, i.e. the MAE decreased to 14.979 min (about a 40% reduction). In comparison, the ANN models developed using the same dataset slightly outperformed (only 0.24%) their RF counterparts; nevertheless, the RF models showed more stable results with a small-error range. Further analysis confirmed that the accuracy of the predictions could be slightly downgraded in return for a substantial reduction in the number of variables utilized.
Student Abuse in Medical Colleges of Karachi, a Descriptive Cross-Sectional Study

Background: Medical students are suspected to be the most compassionate, warm hearted and devoted students to their profession. In the process of cultivating future doctors any bad impact to their personalization may lead to a decrease in self-esteem, spirits and positive mood. Objective: The following study is conducted to make an estimation of different types of abuse that medical students are facing in Medical universities of Karachi. Furthermore, this study also intends to analyze which type of abuse is more prevalent and if the universities have a complaint department for taking a proper action against abuse or not. Material & Methods: A descriptive cross sectional study was conducted in private and government medical colleges of Karachi, Sindh Pakistan, in the months of June and July 2014. Data collection was based on random data sampling comprising of 250 subjects, which included male and female students between the ages of 20-25 years. Results: According to our study’s findings, about 47.47% of abuse is seen in medical colleges of Karachi. Among those who had faced bullying or harassment, 38.44% reported that they had experienced verbal abuse, 54.76% reported academic abuse, 6.9% faced physical abuse, and 18.56% faced sexual abuse. There was no reported harassment cell found in medical colleges of Karachi and hence, no one has ever taken authority. Conclusion: Therefore, it has been concluded that mistreatment and abuse are common occurrences in our medical colleges. This has found to be very adverse for learning, determination and the self-confidence of our medical students and for a futuristic personality of a doctor as well.
Motivation to learn and learning strategies

Purpose – The purpose of this paper is to give an insight to the motivation processes and learning strategies of the students of the Library and Information Systems (LIS) Department of Alexander Technological Educational Institute (ATEI), Thessaloniki, in courses encompassing Information Technology (IT). Design/methodology/approach – The students participated in the study between the 10th and 12th week of a 13‐week semester. Data were collected with the Science Motivation Questionnaire (SMQ) and the Self‐Regulated Learning Strategies component of the Motivational Strategies for Learning Questionnaire (MSLQ). Independent samples t‐tests were used to indicate any associations between motivation to learn and learning strategies, with students' background characteristics. Multiple regression analysis was used to predict students' levels of motivation from the background characteristics, and their intention to continue their studies and to work as librarians/information professionals.Findings – Results showed t.
Delimitation of safe corridors for the insertion of external fixator pins in the dog: 1. Hindlimb

Anatomical dissections of fresh canine hindlimb specimens were carried out on the femoral region and crus and cross sections of the crus to identify the location of safe corridors for external skeletal fixator pin insertion. Safe, hazardous and unsafe corridors were defined and measured along the canine hindlimb. Recommendations are made on the safe and effective use of fixator frames in the canine femur and tibia, in order to avoid potentially serious complications. No safe corridors were identified in the canine femoral region. The canine tibia is an eccentric bone and its entire medial aspect and part of its cranial aspect lie in a subcutaneous position. These areas are identified as safe for external skeletal fixator pin insertion.