608 research outputs found
ASM Journals Eliminate Impact Factor Information from Journal Websites
No full textFull author list omitted for brevity. For the full list of authors, see article.At the recent Journals Board meeting that took place during ASM Microbe 2016 in Boston, MA, the journal editors in chief and the American Society for Microbiology (ASM) leadership decided to no longer advertise the impact factors of ASM journals. This editorial was published simultaneously by the following ASM journals: Antimicrobial Agents and Chemotherapy, Applied and Environmental Microbiology, Clinical Microbiology Reviews, Infection and Immunity, Journal of Clinical Microbiology, mBio, Microbiology and Molecular Biology Reviews, mSphere, and mSystems
sj-docx-1-smo-10.1177_20503121211073014 – Supplemental material for A cross-sectional study of COVID-19-related knowledge, risk perceptions, and preventive practices among pharmacy students in Bangladesh
No full textSupplemental material, sj-docx-1-smo-10.1177_20503121211073014 for A cross-sectional study of COVID-19-related knowledge, risk perceptions, and preventive practices among pharmacy students in Bangladesh by Sadia Afruz Ether, Faisal Abdullah Emon, ASM Roknuzzaman, Md Rakibuzzaman, Fahad Imtiaz Rahman and Md Rabiul Islam in SAGE Open Medicine</p
Early Biotechnology: The Delft Connection. Early Dutch microbiologists fostered their own golden age of microbiology
No full textInfluence of ultrasonic melt treatment on the formation of primary intermetallics and related grain refinement in aluminum alloys
No full textThis article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited - The article can also be accessed from the link below - Copyright @ 2011 SpringerUltrasonic melt treatment (UST) is known to induce grain refining in aluminum alloys. Previous studies have clearly shown that in Al-Zr-Ti alloys, the primary Al(3)Zr intermetallics were dramatically refined by cavitation-assisted fragmentation, and a good refinement effect was achieved. In this article, Al-Ti, Al-Ti-Zr alloys, and some commercial aluminum alloys are used to analyze the effect of UST on primary intermetallics and grain refinement. The addition of a small amount of Al-3Ti-B master alloy is also studied in order to compare with the addition of Ti and Zr in commercial aluminum alloys. Experimental results show that the ultrasonic grain refining effect is not only related to the size of particles which are refined and/or dispersed by UST, but also related to an undercooling available for activation of these particles in the solidification process. Athermal heterogeneous nucleation theory is considered to explain the effect of size and distribution of substrate particles on the grain structure with different undercoolings. The distribution of primary particle sizes results in the distribution of required undercoolings. Grain refining occurs when the undercooling is large enough to activate the refined primary intermetallics or dispersed inoculants.This study is supported by the Materials Innovation Institute and China Scholarship Counci
Proceedings of Cardiff Institute for Tissue Engineering & Repair Annual Scientific Meeting (CITER ASM 2021)
No full textCITER ASM 2021
The abstracts appearing in this book comprise the proceedings of the CITER ASM 2021, held between the 13th and 14th of September 2021. The posters presented reflect the authors’ opinions and are published as presented and without change (formatting and minor editing expected). Their inclusion in this publication does not necessarily constitute endorsement by the editors, CITER, or the Cardiff University.
Please use the following format to cite material from these Proceedings:
Author, AB, Author, XY, and Author, DE (2021), Title of paper, Proc. Cardiff Institute for Tissue Engineering & Repair Annual Scientific Meeting (CITER ASM 2021), M Al-Amri, R Weiser (Eds), pp. a–b, Cardiff, UK, 13-14 Sept. 2021, ISSN 2634-100X
Proceedings reference number: ISSN 2634-100X
Published by Cardiff University
For information, contact: CITER, Cardiff University, Redwood Building, King Edward VII Avenue, CF10 3NB.
Email: [email protected]
Calculation processes of the three types of ASM image.
No full text(A) ASM/A is an image indicated by the absolute difference between two ADC values, ADCb and ADCm, divided by ADCb ≤ five times. (B) PASM/A is an image indicated by the positive values of the difference between the two ADC values, which is deduced by subtracting ADCb from ADCm, divided by the ADCb value ≤ five times. (C) ASM/S is an image indicated by the absolute difference between the ADC values, ADCb and ADCm, divided by the SD image. ADC, apparent diffusion coefficient; ASM, ADC subtraction method, ADCb, ADC basic; ADCm, ADC modify; PASM/A, positive ASM; SD, standard deviation; S, SD image.</p
Comparison of the relative values for various phantoms among the DK image and ASM images.
No full text(A) ASM/A images. (B) ASM/S images. (C) ASM/A3, PASM/A3 and ASM/S3 images. Phantoms used were bio-phantoms of Jurkat cells and polyethylene glycol phantoms. Vertical bar represents relative values of DK image and ASM images, which were modified for their PS values to become 5,000. Error bar represents standard deviation for each value. +P‡Px, ASM division by ADC x times; ASM/Sx, ASM division by standard deviation x times; PASM/A3, positive ASM division by ADC three times.</p
Evaluation of calculation processes of apparent diffusion coefficient subtraction method (ASM) imaging.
No full textA number of restricted diffusion (RD) imaging techniques, such as diffusion kurtosis (DK) imaging and Q space imaging, have been developed and proven to be useful for the diagnosis of diseases, including cerebral gliomas and cerebrovascular infarction. In particular, apparent diffusion coefficient (ADC) subtraction method (ASM) imaging has become available recently as a novel RD imaging technique. ASM is based on the difference between the ADC values in an image pair of two ADC maps, ADC basic (ADCb) and ADC modify (ADCm), which are created from diffusion-weighted images taken using short and long effective diffusion times, respectively. The present study aimed to assess the potential of different types of ASM imaging by comparing them with DK imaging which is the gold-standard RD imaging technique. In the present basic study using both polyethylene glycol phantom and cell-containing bio-phantom, three different types of ASM images were created using different calculation processes. ASM/A is an image calculated by dividing the absolute difference between ADCb and ADCm by ADCb several times. By contrast, ASM/S is an image created by dividing the absolute difference between ADCb and ADCm by the standard deviation of ADCb several times. As for positive ASM/A image (PASM/A), the positive image, which was resultant after subtracting ADCb from ADCm, was divided by ADCb several times. A comparison was made between the types of ASM and DK images. The results showed the same tendency between ASM/A in addition to both ASM/S and PASM/A. By increasing the number of divisions by ADCb from three to five times, ASM/A images transformed from DK-mimicking to more RD-sensitive images compared with DK images. These observations suggest that ASM/A images may prove useful for future clinical applications in RD imaging protocols for the diagnosis of diseases
Evaluation of calculation processes of apparent diffusion coefficient subtraction method (ASM) imaging
No full textA number of restricted diffusion (RD) imaging techniques, such as diffusion kurtosis (DK) imaging and Q space imaging, have been developed and proven to be useful for the diagnosis of diseases, including cerebral gliomas and cerebrovascular infarction. In particular, apparent diffusion coefficient (ADC) subtraction method (ASM) imaging has become available recently as a novel RD imaging technique. ASM is based on the difference between the ADC values in an image pair of two ADC maps, ADC basic (ADCb) and ADC modify (ADCm), which are created from diffusion-weighted images taken using short and long effective diffusion times, respectively. The present study aimed to assess the potential of different types of ASM imaging by comparing them with DK imaging which is the gold-standard RD imaging technique. In the present basic study using both polyethylene glycol phantom and cell-containing bio-phantom, three different types of ASM images were created using different calculation processes. ASM/A is an image calculated by dividing the absolute difference between ADCb and ADCm by ADCb several times. By contrast, ASM/S is an image created by dividing the absolute difference between ADCb and ADCm by the standard deviation of ADCb several times. As for positive ASM/A image (PASM/A), the positive image, which was resultant after subtracting ADCb from ADCm, was divided by ADCb several times. A comparison was made between the types of ASM and DK images. The results showed the same tendency between ASM/A in addition to both ASM/S and PASM/A. By increasing the number of divisions by ADCb from three to five times, ASM/A images transformed from DK-mimicking to more RD-sensitive images compared with DK images. These observations suggest that ASM/A images may prove useful for future clinical applications in RD imaging protocols for the diagnosis of diseases
Abstract State Machines 1988-1998: Commented ASM Bibliography
No full textHartmut Ehrig asked the first author to write for this column what are the distinguishing features of the ASM approach to specification and verification of complex computing systems. In [21] an attempt had already been made to answer that question by discussing, in general comparative terms, some specific features which are characteristic for the ASM approach with respect to other well known approaches in the literature. That explanation seems to have been understood, as shown by the many positive reactions, but even more the numerous critical reactions of colleagues in the field who felt—rightly—that ASMs put justified doubt on cherished denotational, declarative, logical, functional and similar widespread beliefs in pure, i.e. not operational methods. Nevertheless some dissatisfaction remained with that paper because the discussion, in a sense unavoidably, remained in general terms which have been used during the last two or three decades again and again for the justification of many other methods. The attempt to answer the question in a more concrete way led the two authors of this commented bibliography to systematically review again, revising and updating [20], what are the achievements and failures of ASM research since the discovery of the notion by Yuri Gurevich in 1988. What follows here is a way of answering Hartmut Ehrig’s question; namely, we try to let the research results speak for the method. If somebody really wants to know whether there is anything useful in the notion of ASM which has not been covered by competing methods in the literature, he or she should try out the method on a challenging (not a toy) specification or verification problem. We have no doubt that then it will become clear why so much successful research could be done in such a short period by a relatively small number of researchers, as documented in the commented bibliography below
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