Morphological response to a North Sea bed depression induced by gas mining

Gas mining leads to saucer-like surface depressions. In the North Sea, gas is currently mined at several offshore locations. The associated bed depression has a similar spatial extent as offshore tidal sandbanks, which are large-scale bed patterns covering a significant part of the North Sea bottom. The morphological time scales of bed depressions and tidal sandbanks are similar, so that significant interaction between these features is expected. In this paper we allow the bed depression to become morphologically active. A simple depression model based on a homogeneous soil is tuned with data of a bed depression near the Dutch barrier island of Ameland. Next, this subsidence model is included in a morphodynamic model. We show that this model is able to explain tidal sandbanks, which represent natural bed behavior. Here we approximate the solution by an expansion up to first order. The zeroth-order solution of the model is a flat bed with a spatially uniform, time-independent current. The first-order solution is investigated using a Fourier transformation. In general, we observe significant interaction between the bed depression and the natural sandbank formation process. The process of induced bed depression triggers and intensifies the natural morphological behavior of the offshore seabed. The model also shows essential differences between modeling a morphodynamically active marine bottom depression and a bottom depression below the threshold for sediment motion. The maximum bed level depression in the active case is significantly larger, and the circular shape of depression contours is affected by stretching toward the preferred orientation of the tidal sandbank formation process

Исследование методов декомпозиции моделей системы функционирования книжно-журнальных изданий с измененяемым информационным наполнением

In the article solved the problem of decomposition of the synthesized model of the functioning the book and magazine editions and introduced the notion of pseudoorthogonality transformation of synthesis and transformation of decomposition

Genetic Variation in Spatio-Temporal Confined USA300 Community-Associated MRSA Isolates: A Shift from Clonal Dispersion to Genetic Evolution?

NTRODUCTION: Community-associated methicillin-resistant Staphylococcus aureus (CA-MRSA) are increasingly isolated, with USA300-0114 being the predominant clone in the USA. Comparative whole genome sequencing of USA300 isolates collected in 2002, 2003 and 2005 showed a limited number of single nucleotide polymorphisms and regions of difference. This suggests that USA300 has undergone rapid clonal expansion without great genomic diversification. However, whole genome comparison of CA-MRSA has been limited to isolates belonging to USA300. The aim of this study was to compare the genetic repertoire of different CA-MRSA clones with that of HA-MRSA from the USA and Europe through comparative genomic hybridization (CGH) to identify genetic clues that may explain the successful and rapid emergence of CA-MRSA. MATERIALS AND METHODS: Hierarchical clustering based on CGH of 48 MRSA isolates from the community and nosocomial infections from Europe and the USA revealed dispersed clustering of the 19 CA-MRSA isolates. This means that these 19 CA-MRSA isolates do not share a unique genetic make-up. Only the PVL genes were commonly present in all CA-MRSA isolates. However, 10 genes were variably present among 14 USA300 isolates. Most of these genes were present on mobile elements. CONCLUSION: The genetic variation present among the 14 USA300 isolates is remarkable considering the fact that the isolates were recovered within one month and originated from a confined geographic area, suggesting continuous evolution of this clone

Relating Teaching Qualifications and Basic Need Satisfaction in Medical Teaching

Contains fulltext : 182164.pdf (publisher's version ) (Open Access)INTRODUCTION: Teaching Qualifications (TQs) have been implemented in University Medical Centers, but their relation to teachers’ motivation for medical teaching is unknown. Because teacher motivation influences important outcomes, it is crucial to study how TQs are related to promoting teacher motivation, by fulfilling the basic needs of feeling autonomous, competent, and related towards medical teaching. AIMS: To explore relations between TQs and feelings of autonomy, competence, and relatedness towards medical teaching. METHODS: An online questionnaire was used to collect data about teaching at a university hospital. We measured feelings of autonomy, competence, and relatedness towards medical teaching using the Teaching-related Basic Need Satisfaction scale (T-BNS). We applied multivariate regression analysis to examine relations between TQs and basic need satisfaction in teaching. RESULTS: A total of 767 medical teachers participated. TQs appear to be related to feeling competent in teaching. Higher TQ levels are not related to higher feelings of autonomy, competence, and relatedness towards medical teaching. CONCLUSIONS: The results imply that appealing to non-qualified teachers’ feelings of competence towards medical teaching may stir up their enthusiasm for TQ policy. They also call for robust teaching positions to build teaching experience, preferably as early as possible, and for assessing the importance applicants attach to education in job interviews

A Patient-Specific Musculoskeletal Model of Total Knee Arthroplasty to Predict In Vivo Knee Biomechanics

Musculoskeletal(MS) models are useful to gain information on in vivo biomechanics that would be otherwise very difficult to obtain.However, before entering the clinical routine MS models must be thoroughlyvalidated. This study presents a novel MS modelling framework capable ofintegrating the patient-specific MS architecture in a very detailed way, andsimultaneously simulating body level dynamics and secondary knee kinematics.The model predictions were further validated against publicly available in vivo experimental data. The bonegeometries were segmented from CT images of a patient with an instrumentedTotal Knee Arthroplasty (TKA) from the “Grand Challenge Competition to Predict In Vivo Knee Loads” dataset. These were inputtedinto an advanced morphing technique in order to scale the MS architecture of thenew TLEM 2.0 model1 to the specific patient. A detailed 11-DOF modelof the knee joint was constructed that included ligaments and rigid contact. Aninverse kinematic and a force-dependent kinematic technique2 wereutilized to simulate one gait cycle and one right-turn trial. Tibiofemoral (TF)joint contact force predictions were evaluated against experimental TF forcesrecorded by the TKA prosthesis, and secondary knee kinematics againstexperimental fluoroscopy data. The coefficientof determination and the root-mean-square error between predicted andexperimental tibiofemoral forces were larger than 0.9 and smaller than 0.3body-weights, respectively, for both gait and right-turn trials. Secondary kneekinematics were estimated with an average Sprague and Geers’ combined error assmall as 0.06. Themodelling strategy proposed permits a high level of patient-specificpersonalization and does not require any non-physiological parameter tuning.The very good agreement between predictions and experimental in vivo data is promising for the futureintroduction of the model into clinical applications

Use of amplified fragment length polymorphism analysis to identify medically important Candida spp., including C. dubliniensis.

Non-Candida albicans Candida species are increasingly being isolated. These species show differences in levels of resistance to antimycotic agents and mortality. Therefore, it is important to be able to correctly identify the causative organism to the species level. Identification of C. dubliniensis in particular remains problematic due to the high degree of phenotypic similarity between this species and C. albicans. The use of amplified fragment length polymorphism (AFLP) analysis as an identification method for medically important Candida species was investigated. Our results show very clear differences among medically important Candida species. Furthermore, when screening a large collection of clinical isolates previously identified on CHROMagar as C. albicans, we found a misidentification rate of 6%. AFLP analysis is universally applicable, and the patterns can easily be stored in a general, accessible database. Therefore, AFLP might prove to be a reliable method for the identification of medically important Candida species

The effect of curriculum sample selection for medical school

In the Netherlands, students are admitted to medical school through (1) selection, (2) direct access by high pre-university Grade Point Average (pu-GPA), (3) lottery after being rejected in the selection procedure, or (4) lottery. At Radboud University Medical Center, 2010 was the first year we selected applicants. We designed a procedure based on tasks mimicking the reality of early medical school. Applicants took an online course followed by an on-site exam, resembling courses and exams in early medical school. Based on the exam scores, applicants were selected or rejected. The aim of our study is to determine whether curriculum sample selection explains performance in medical school and is preferable compared to selection based on performance in secondary school. We gathered data on the performance of students of three consecutive cohorts (2010-2012, N = 954). We compared medical school performance (course credits and grade points) of selected students to the three groups admitted in other ways, especially lottery admissions. In regression analyses, we controlled for out of context cognitive performance by adjusting for pu-GPA. Selection-admitted students outperformed lottery-admitted students on most outcome measures, unadjusted as well as adjusted for pu-GPA (p aecurrency 0.05). They had higher grade points than non-selected lottery students, both unadjusted and adjusted for pu-GPA (p aecurrency 0.025). Adjusted for pu-GPA, selection-admitted students and high-pu-GPA students performed equally. We recommend this selection procedure as it adds to secondary school cognitive performance for the general population of students, is efficient for large numbers of applicants and not labour-intensive

Whole Genome Analysis of Epidemiologically Closely Related Staphylococcus aureus Isolates

The change of the bacteria from colonizers to pathogens is accompanied by a drastic change in expression profiles. These changes may be due to environmental signals or to mutational changes. We therefore compared the whole genome sequences of four sets of S. aureus isolates. Three sets were from the same patients. The isolates of each pair (S1800/S1805, S2396/S2395, S2398/S2397, an isolate from colonization and an isolate from infection, respectively) were obtained within <30 days of each other and the isolate from infection caused skin infections. The isolates were then compared for differences in gene content and SNPs. In addition, a set of isolates from a colonized pig and a farmer from the same farm at the same time (S0462 and S0460) were analyzed. The isolates pair S1800/S1805 showed a difference in a prophage, but these are easily lost or acquired. However, S1805 contained an integrative conjugative element not present in S1800. In addition, 92 SNPs were present in a variety of genes and the isolates S1800 and S1805 were not considered a pair. Between S2395/S2396 two SNPs were present: one was in an intergenic region and one was a synonymous mutation in a putative membrane protein. Between S2397/S2398 only one synonymous mutation in a putative lipoprotein was found. The two farm isolates were very similar and showed 12 SNPs in genes that belong to a number of different functional categories. However, we cannot pinpoint any gene that explains the change from carrier status to infection. The data indicate that differences between the isolate from infection and the colonizing isolate for S2395/S2396 and S2397/S2398 exist as well as between isolates from different hosts, but S1800/S1805 are not clonal

Raman spectroscopy-based identification of nosocomial outbreaks of the clonal bacterium Escherichia coli

DNA-based techniques are frequently used to confirm the relatedness of putative outbreak isolates. These techniques often lack the discriminatory power when analyzing closely related microbes such as E. coli. Here the value of Raman spectroscopy as a typing tool for E. coli in a clinical setting was retrospectively evaluated