The influence of knee position on ankle dorsiflexion - a biometric study

Background: Musculus gastrocnemius tightness (MGT) can be diagnosed by comparing ankle dorsiflexion (ADF) with the knee extended and flexed. Although various measurement techniques exist, the degree of knee flexion needed to eliminate the effect of the gastrocnemius on ADF is still unknown. The aim of this study was to identify the minimal degree of knee flexion required to eliminate the restricting effect of the musculus gastrocnemius on ADF. Methods: Bilateral ADF of 20 asymptomatic volunteers aged 18-40 years (50% female) was assessed prospectively at six different degrees of knee flexion (0 degrees, 20 degrees, 30 degrees, 45 degrees, 60 degrees, 75 degrees, Lunge). Tests were performed following a standardized protocol, non weightbearing and weightbearing, by two observers. Statistics comprised of descriptive statistics, t-tests, repeated measurement ANOVA and ICC. Results: 20 individuals with a mean age of 27 +/- 4 years were tested. No significant side to side differences were observed. The average ADF [95% confidence interval] for non weightbearing was 4 degrees{[}1 degrees-8 degrees] with the knee extended and 20 degrees [16 degrees-24 degrees] for the knee 75 flexed. Mean weightbearing ADF was 25 degrees[22 degrees-28 degrees] for the knee extended and 39 degrees[36 degrees-42 degrees] for the knee 75 degrees flexed. The mean differences between 20 degrees knee flexion and full extension were 15 degrees[12 degrees-18 degrees] non weightbearing and 13 degrees[11 degrees-16 degrees] weightbearing. Significant differences of ADF were only found between full extension and 20 degrees of knee flexion. Further knee flexion did not increase ADF. Conclusion: Knee flexion of 20 degrees fully eliminates the ADF restraining effect of the gastrocnemius. This knowledge is essential to design a standardized clinical examination assessing MGT

Gene expression profile of bladder tissue of patients with ulcerative interstitial cystitis

BACKGROUND: Interstitial cystitis (IC), a chronic bladder disease with an increasing incidence, is diagnosed using subjective symptoms in combination with cystoscopic and histological evidence. By cystoscopic examination, IC can be classified into an ulcerative and a non-ulcerative subtype. To better understand this debilitating disease on a molecular level, a comparative gene expression profile of bladder biopsies from patients with ulcerative IC and control patients has been performed. RESULTS: Gene expression profiles from bladder biopsies of five patients with ulcerative IC and six control patients were generated using Affymetrix GeneChip expression arrays (Affymetrix--GeneChip Human Genome U133 Plus 2.0). More than 31,000 of > 54,000 tested probe sets were present (detection p-value < 0.05). The difference between the two groups was significant for over 3,500 signals (t-test p-value < 0.01), and approximately 2,000 of the signals (corresponding to approximately 1,000 genes) showed an IC-to-healthy expression ratio greater than two. The IC pattern had similarities to patterns from immune system, lymphatic, and autoimmune diseases. The dominant biological processes were the immune and inflammatory responses. Many of the up-regulated genes were expressed in leukocytes, suggesting that leukocyte invasion into the bladder wall is a dominant feature of ulcerative IC. Histopathological data supported these findings. CONCLUSION: GeneChip expression arrays present a global picture of ulcerative IC and provide us with a series of marker genes characteristic for this subtype of the disease. Evaluation of biopsies from other bladder patients with similar symptoms (e.g. patients with non-ulcerative IC) will further indicate whether the data presented here will be valuable for the diagnosis of IC

E-selectin ligand complexes adopt an extended high-affinity conformation

E-selectin is a cell-adhesion molecule of the vascular endothelium that promotes essential leukocyte rolling in the early inflammatory response by binding to glycoproteins containing the tetrasaccharide sialyl Lewis(x) (sLe(x)). Efficient leukocyte recruitment under vascular flow conditions depends on an increased lifetime of E-selectin/ligand complexes under tensile force in a so-called catch-bond binding mode. Co-crystal structures of a representative fragment of the extracellular E-selectin region with sLe(x) and a glycomimetic antagonist thereof reveal an extended E-selectin conformation, which is identified as a high-affinity binding state of E-selectin by molecular dynamics simulations. Small-angle X-ray scattering experiments demonstrate a direct link between ligand binding and E-selectin conformational transition under static conditions in solution. This permits tracing a series of concerted structural changes connecting ligand binding to conformational stretching as the structural basis of E-selectin catch-bond-mediated leukocyte recruitment. The detailed molecular view of the binding site paves the way for the design of a new generation of selectin antagonists. This is of special interest, since their therapeutic potential was recently demonstrated with the pan-selectin antagonists GMI-1070 (Rivipansel)

Gravure‐Printed Conversion/Alloying Anodes for Lithium‐Ion Batteries

Recently, printing techniques are increasingly investigated in the field of energy storage, especially for the fabrication of custom-designed batteries. Thanks to its many advantages, the most industrially used gravure printing would offer an innovative boost to printed battery production, even if, to date, such a technique is still not well investigated. In this study, for the first time, gravure printing is successfully used to prepare high-performance conversion/alloying anodes for lithium-ion batteries. A multilayer approach allows obtainment of the desired mass loading (about 1.7 mg cm$^{-2}$), reaching similar mass loadings to those obtained by commonly used lab-scale tape-casting methods, allowing for their comparison. High-quality gravure-printed layers are obtained showing a very high homogeneity, resulting in a high reproducibility of their electrochemical performance, very close to the theoretical value, and a long cycle life (up to 400 cycles). The good results are also due to the ink preparation method, using a ball-milling mix of the powders for disaggregation and homogenization of the starting materials. This work demonstrates the possibility of using the highly scalable gravure printing not only in the industrial manufacturing of printed batteries, but also as a useful tool for the study of new materials

Analysis of the three-dimensional anatomical variance of the distal radius using 3D shape models

BACKGROUND: Various medical fields rely on detailed anatomical knowledge of the distal radius. Current studies are limited to two-dimensional analysis and biased by varying measurement locations. The aims were to 1) generate 3D shape models of the distal radius and investigate variations in the 3D shape, 2) generate and assess morphometrics in standardized cut planes, and 3) test the model's classification accuracy. METHODS: The local radiographic database was screened for CT-scans of intact radii. 1) The data sets were segmented and 3D surface models generated. Statistical 3D shape models were computed (overall, gender and side separate) and the 3D shape variation assessed by evaluating the number of modes. 2) Anatomical landmarks were assigned and used to define three standardized cross-sectional cut planes perpendicular to the main axis. Cut planes were generated for the mean shape models and each individual radius. For each cut plane, the following morphometric parameters were calculated and compared: maximum width and depth, perimeter and area. 3) The overall shape model was utilized to evaluate the predictive value (leave one out cross validation) for gender and side identification within the study population. RESULTS: Eighty-six radii (45 left, 44% female, 40 +/- 18 years) were included. 1) Overall, side and gender specific statistical 3D models were successfully generated. The first mode explained 37% of the overall variance. Left radii had a higher shape variance (number of modes: 20 female / 23 male) compared to right radii (number of modes: 6 female / 6 male). 2) Standardized cut planes could be defined using anatomical landmarks. All morphometric parameters decreased from distal to proximal. Male radii were larger than female radii with no significant side difference. 3) The overall shape model had a combined median classification probability for side and gender of 80%. CONCLUSIONS: Statistical 3D shape models of the distal radius can be generated using clinical CT-data sets. These models can be used to assess overall bone variance, define and analyze standardized cut-planes, and identify the gender of an unknown sample. These data highlight the potential of shape models to assess the 3D anatomy and anatomical variance of human bones

Isolation and characterization of new Puumala orthohantavirus strains from Germany

Orthohantaviruses are re-emerging rodent-borne pathogens distributed all over the world. Here, we report the isolation of a Puumala orthohantavirus (PUUV) strain from bank voles caught in a highly endemic region around the city Osnabrück, north-west Germany. Coding and non-coding sequences of all three segments (S, M, and L) were determined from original lung tissue, after isolation and after additional passaging in VeroE6 cells and a bank vole-derived kidney cell line. Different single amino acid substitutions were observed in the RNA-dependent RNA polymerase (RdRP) of the two stable PUUV isolates. The PUUV strain from VeroE6 cells showed a lower titer when propagated on bank vole cells compared to VeroE6 cells. Additionally, glycoprotein precursor (GPC)-derived virus-like particles of a German PUUV sequence allowed the generation of monoclonal antibodies that allowed the reliable detection of the isolated PUUV strain in the immunofluorescence assay. In conclusion, this is the first isolation of a PUUV strain from Central Europe and the generation of glycoprotein-specific monoclonal antibodies for this PUUV isolate. The obtained virus isolate and GPC-specific antibodies are instrumental tools for future reservoir host studies

Analisis Pasar Wisata Syariah Di Kota YOGYAKARTA

This article is the result of research that talks about how the development of the tourism market of sharia in the Yogyakarta City. Sharia travel is a new travel trend worldwide has excellent prospects for development and this concept into new ways to develop tourism in Yogyakarta to uphold the culture and values of Islam. This study seeks to segment the tourism market in the Yogyakarta City and tourist developments seen from indicators sharia destination product and service quality, as well as merumukan attributes that are required in the development of sharia travel and recommends the development of a marketing strategy of sharia in the Yogyakarta City. Descriptive method used to describe the facts about sharia travel market in the Yogyakarta City. The results show that tourists visiting Yogyakarta come from various parts of the archipelago, with demographic and psychographic diverse. Yogyakarta has a great potential to be developed as a tourist destination islamic views of destination product and service quality by adding the necessary attributes and by conducting massive marketing with promotional mix. Keywords: Travel Sharia, Product Specials, Quality of Service, the Yogyakarta Cit

Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges

Most machine learning algorithms are configured by a set of hyperparameters whose values must be carefully chosen and which often considerably impact performance. To avoid a time-consuming and irreproducible manual process of trial-and-error to find well-performing hyperparameter configurations, various automatic hyperparameter optimization (HPO) methods—for example, based on resampling error estimation for supervised machine learning—can be employed. After introducing HPO from a general perspective, this paper reviews important HPO methods, from simple techniques such as grid or random search to more advanced methods like evolution strategies, Bayesian optimization, Hyperband, and racing. This work gives practical recommendations regarding important choices to be made when conducting HPO, including the HPO algorithms themselves, performance evaluation, how to combine HPO with machine learning pipelines, runtime improvements, and parallelization. This article is categorized under: Algorithmic Development > Statistics Technologies > Machine Learning Technologies > Prediction