Primary Antibiotic Resistance to Helicobacter pylori Strains Isolated From Children in Northern Iran: A Single Center Study

Background: Initial resistance to antibiotics is the main reason for the failure of Helicobacter pylori (H. pylori) eradication in children. Objectives: As we commonly face high antibiotic resistance rates in children, we aimed to determine the susceptibility of H. pylori to common antibiotics. Patients and Methods: In this cross-sectional in vitro study, 169 children younger than 14 years with clinical diagnosis of peptic ulcer underwent upper gastrointestinal endoscopy. Biopsy specimens from stomach and duodenum were cultured. In isolated colonies, tests of catalase, urease, and oxidase as well as gram staining were performed. After confirming the colonies as H. pylori, the antibiogram was obtained using disk diffusion method. Results: Culture for H. pylori was positive in 12.3% of the specimens, urease test in 21.3%, serological test in 18.9% and stool antigen test was positive in 21.9%. We could show high specificity but moderate sensitivity of both histological and H. pylori stool antigen tests to detect H. pylori. The overall susceptibility to metronidazole was 42.9%, amoxicillin 95.2%, clarithromycin 85.7%, furazolidone 61.9%, azithromycin 81.0%, and tetracycline 76.2% with the highest resistance to metronidazole and the lowest to clarithromycin. Conclusions: In our region, there is high resistance of H. pylori to some antibiotics including metronidazole and furazolidone among affected children. To reduce the prevalence of this antibiotic resistance, more controlled use of antibiotics should be considered in children.

Improving Resource Management in Virtualized Data Centers using Application Performance Models

The rapid growth of virtualized data centers and cloud hosting services is making the management of physical resources such as CPU, memory, and I/O bandwidth in data center servers increasingly important. Server management now involves dealing with multiple dissimilar applications with varying Service-Level-Agreements (SLAs) and multiple resource dimensions. The multiplicity and diversity of resources and applications are rendering administrative tasks more complex and challenging. This thesis aimed to develop a framework and techniques that would help substantially reduce data center management complexity. We specifically addressed two crucial data center operations. First, we precisely estimated capacity requirements of client virtual machines (VMs) while renting server space in cloud environment. Second, we proposed a systematic process to efficiently allocate physical resources to hosted VMs in a data center. To realize these dual objectives, accurately capturing the effects of resource allocations on application performance is vital. The benefits of accurate application performance modeling are multifold. Cloud users can size their VMs appropriately and pay only for the resources that they need; service providers can also offer a new charging model based on the VMs performance instead of their configured sizes. As a result, clients will pay exactly for the performance they are actually experiencing; on the other hand, administrators will be able to maximize their total revenue by utilizing application performance models and SLAs. This thesis made the following contributions. First, we identified resource control parameters crucial for distributing physical resources and characterizing contention for virtualized applications in a shared hosting environment. Second, we explored several modeling techniques and confirmed the suitability of two machine learning tools, Artificial Neural Network and Support Vector Machine, to accurately model the performance of virtualized applications. Moreover, we suggested and evaluated modeling optimizations necessary to improve prediction accuracy when using these modeling tools. Third, we presented an approach to optimal VM sizing by employing the performance models we created. Finally, we proposed a revenue-driven resource allocation algorithm which maximizes the SLA-generated revenue for a data center.

Análisis de materiales didácticos para la enseñanza de chino a españoles

En la sociedad actual millones de personas deciden aprender una segunda lengua, resultando particularmente relevante el caso del aprendizaje del chino mandarín. Ello se debe en buena parte al auge económico y apertura cultural que ha experimentado China en las últimas décadas. En este contexto, los profesionales de la enseñanza se preocupan por capacitar adecuadamente a los alumnos para hacer el uso de la lengua meta de forma óptima y eficaz. Es por ello que el desarrollo y evaluación de los materiales destinados al aprendizaje de segundas lenguas en general, y del chino mandarín en particular, goza de gran importancia entre profesores e investigadores. En el caso de los libros de texto de chino para españoles, su adecuado análisis y complementación es urgente por la carencia de opciones. Esta tesis tiene como primer objetivo examinar hasta qué punto los materiales de enseñanza de chino en español reflejan las aportaciones de las teorías relevantes, como los principios de ASL, y de esta manera puedan facilitar el aprendizaje de los alumnos. Argumentamos en este trabajo que el marco de análisis de materiales de enseñanza de Littlejohn (1998, 2011) es el más adecuado para nuestros propósitos, y lo complementamos mediante la incorporación de las opciones metodológicas propuestas por el Marco Común Europeo de Referencia para las Lenguas (MCER). Mediante la evaluación de los aspectos de este marco de análisis es posible descubrir qué contienen los libros de texto, qué tareas deben realizar los alumnos, con quién y con qué contenidos, y también qué competencias lingüísticas se pretenden desarrollar. A partir de ahí podemos inferir qué teorías sostienen estas decisiones pedagógicas y de qué manera se desarrollan las competencias lingüísticas...

Modern trafik – En studie kring cykelfrämjandet i Umeå kommun

Purpose: To determine the progress in Umeå concerning the furtherance of bicycle traffic in the city and to investigate the possibility of a similar progress in Jönköping. Method: Semi structured interviews with officials, politicians and enthusiasts in Umeå and Jönköping, document analysis of documents provided by the municipalities and observations of Umeå city center. Findings: Umeå’s mindset around a sustainable society have been identified and the vast difference between the two cities is the time that they’ve actively worked with the bike issue and how public officials prioritize while planning. Umeå’s large advantage in their decision making is that officials and politicians are working towards the same goal and are united in the bike issue. This makes decisions regarding bicycle promotion easier to make. Due to the difference in conditions between the cities, the writers states that Umeå’s way of planning their traffic not necessarily is the right way for Jönköping to plan theirs. Implications: In order to develop it’s bicycle network, Jönköping must dare to let go of their old way of thinking. Instead of thinking that car traffic is necessary in a city, they should have the courage to take difficult decisions that benefit bicycle promotion and thus develop a sustainable transport system. Limitations: The study does not address the economic aspects that are involved in the development of an attractive bicycle network. Also the environmental issues are only dealt with in a thorough level, as it’s necessary to fulfill the study’s objectives. The study’s purpose is considered to be achieved but the result could have been even more developed if more parties were interviewed. Keywords: Bicycle path, bicycle, sustainable transport planning, sustainable society, sustainability, Umeå, Jönköping 

Mt. Bachelor Observatory 2015 data

The Mt. Bachelor Observatory (MBO) is a high altitude atmospheric research station that is located at the Mt. Bachelor ski area in Central Oregon. The observatory was started by Prof. Dan Jaffe in 2004. Over this time, his time at UW has made observations of ozone, carbon monoxide, mercury, nitrogen oxides, particulate matter and other atmospheric constituents. The data for 2015 are reported in this dataset. MBO coordinates (summit building): Latitude: 43.9775 N Longitude: 121.6861 W Elevation: 2.74 km asl

The flora and communities Carnaubal Palm Forest in the northern region of Ceará - Brazil

The “dicótilo-palmácea” mixed forest is found in the fluvial plains (floodplains) of watercourses on the Ceará semiarid region (Brazil), distinguishing from the surrounding vegetation (caatinga) by the prevalence of larger tree species. In the river’s margins, presenting high variability in the extension of the riverbanks, arise floodplains in pedologic complexes mainly composed by neossols and argissols, resulting from the deposition of sediments. In these areas of high fertility soils and subjected to flooding during part of the year, it develops a particular type of riparian vegetation dominated by carnauba palm tree (Copernicia prunifera (Mill.) H.E. Moore) forming a particular type of riparian forest, designated by carnaubal palm forest. We aimed to carry out floristic and phytosociological surveys of carnauba palm forests located in the northern region of Ceará. The classical sigmatist method of Braun-Blanquet was applied and classification analysis (Twinspan) was perfomed. The field work occurred in March 2014 and 2016 in eight areas: Fazenda Pedra Branca (03º 37’ 10’’ S e 40º 18’ 30’’ W, 104 m asl), Vale do Rio Bom Jesus (04º 04’ 42’’ S e 39º 57’ 08’’ W, 200 m asl), Lagoa do Peixe (03º 56’ 28’’ S e 40º 23’ 23’’ W, 97 m asl), Fazenda Peixes (04º 06’ 03’’ S e 40º 32’ 43’’ W, 114 m asl), Fazenda Natividade (04º 02’ 50’’ S e 40º 29’ 03’’ W, 109 m asl), Fazenda Morro Alto (02º 53’ 42’’ S e 39º 54’ 51’’ W, 16 m asl), Fazenda Araticum (03º 04’ 58’’ S e 40º 09’ 36’’ W, 19 m asl) and Fazenda Experimental da UVA (03º 37' 04'' S 40º 18' 18'' W, 200 m asl).The floristic list consists of 170 species, distributed between 127 genera and 50 families. Twenty-seven Brazilian endemic species were identified, from which 8 are exclusive of the Caatinga biome. The Fabaceae was the most representative family, with the highest number of species (28), followed by Poaceae (17), Malvaceaea (14), Euphorbiaceae (12), Asteraceaea (9), Convolvulaceae and Rubiaceae (9). The dominant life forms were therophytes (34%), phanerophytes (30%) and chamaephytes (18%). Two communities were identified as a result of the classification analysis using the Twinspan.

L'alternanza scuola-lavoro al museo: una ricerca empirico-descrittiva in Emilia-Romagna

La tesi si propone di approfondire il tema dell’Alternanza scuola-lavoro (ASL) al museo, un ambito di interesse che ha ricevuto un’importante attenzione a seguito della promulgazione della L.107/2015. La legge ha, infatti, stabilito l’obbligatorietà per tutti gli studenti del triennio delle scuole secondarie di secondo grado di svolgere dei percorsi di ASL in contesti di lavoro differenti, con un esplicito riferimento a quello museale. Il contesto di riferimento scelto per la ricerca è l’Emilia-Romagna, una scelta fatta tenendo conto dell’impegno che la regione ha portato avanti, già dalla fine degli anni Novanta, in direzione di valorizzazione di percorsi integrati scuola-formazione professionale. La ricerca è partita dall’analisi della letteratura di riferimento sul rapporto istruzione-mondo del lavoro in ambito nazionale e internazionale e ha previsto due successive fasi: la prima con una esplorazione qualitativa del fenomeno su un campione ristretto di testimoni privilegiati, appartenenti all’ambito istituzionale, scolastico e museale mediante interviste; la seconda con un’esplorazione quantitativa del fenomeno tramite survey su un campione più ampio mediante la sommistrazione di questionari rivolti agli studenti e ai referenti e tutor ASL delle scuole e dei musei. Nello specifico l’analisi ha coinvolto 430 studenti di 28 scuole della regione che hanno partecipato a 495 percorsi di alternanza scuola-lavoro realizzati nel corso del triennio e a partire dall’anno scolastico 2015-2016. Inoltre hanno preso parte alla ricerca 56 referenti e tutor ASL di 45 scuole e 86 referenti e tutor ASL provenienti da 83 musei.

1° level of automation: the effectiveness of adaptive cruise control on driving and visual behaviour

The research activities have allowed the analysis of the driver assistance systems, called Advanced Driver Assistance Systems (ADAS) in relation to road safety. The study is structured according to several evaluation steps, related to definite on-site tests that have been carried out with different samples of users, according to their driving experience with the ACC. The evaluation steps concern: •The testing mode and the choice of suitable instrumentation to detect the driver’s behaviour in relation to the ACC. •The analysis modes and outputs to be obtained, i.e.: - Distribution of attention and inattention; - Mental workload; - The Perception-Reaction Time (PRT), the Time To Collision (TTC) and the Time Headway (TH). The main purpose is to assess the interaction between vehicle drivers and ADAS, highlighting the inattention and variation of the workloads they induce regarding the driving task. The research project considered the use of a system for monitoring visual behavior (ASL Mobile Eye-XG - ME), a powerful GPS that allowed to record the kinematic data of the vehicle (Racelogic Video V-BOX) and a tool for reading brain activity (Electroencephalographic System - EEG). Just during the analytical phase, a second and important research objective was born: the creation of a graphical interface that would allow exceeding the frame count limit, making faster and more effective the labeling of the driver’s points of view. The results show a complete and exhaustive picture of the vehicle-driver interaction. It has been possible to highlight the main sources of criticalities related to the user and the vehicle, in order to concretely reduce the accident rate. In addition, the use of mathematical-computational methodologies for the analysis of experimental data has allowed the optimization and verification of analytical processes with neural networks that have made an effective comparison between the manual and automatic methodology.