1,116 research outputs found
Acute Myelomonocytic Leukemia With Tetrasomy 8: Histologic and Immunophenotypic Features Mimicking Acute Promyelocytic Leukemia
Rare cases of acute myeloid leukemia (AML) with tetrasomy 8 have been reported. Tetrasomy 8, a poor prognostic factor, has been predominantly associated with AML with monocytic differentiation. We report an unusual case of acute myelomonocytic leukemia (AMML) with tetrasomy 8 showing histologic and immunophenotypic features mimicking acute promyelocytic leukemia (APL). The patient is a 63-year-old African American man with molar pain, gum swelling and bleeding, generalized fatigue, leukocytosis, anemia, and thrombocytopenia. A peripheral blood smear showed increased white cells with many immature granulocytic forms. Approximately 40% of the cells exhibited classical blast morphology, 40% were slightly enlarged and exhibited a small to moderate amount of cytoplasm with a variable number of cytoplasmic granules resembling atypical promyelocytes, and 10% exhibited morphology typical of promyelocytes. The presence of promyelocytes and atypical promyelocytes was highly suggestive of APL. Flow cytometry performed on the peripheral blood showed the leukemic cells to express CD11b (subset), CD33, CD56, and CD64 (subset), with no expression of HLA-DR or CD34, suggestive of APL; however, the blasts were negative for CD117. Subsequent bone marrow aspirate/biopsy evaluation was consistent with AMML. FISH analysis showed tetrasomy 8 and absence of PML/RARA gene rearrangement. In this case, AMML with tetrasomy 8 morphologically and immunophenotypically mimicked APL. The treatment and prognosis of these subtypes of AML are significantly different. This case illustrates the importance of cytogenetic analysis and thorough bone marrow evaluation in determining accurate diagnosis of AML
Spectrum-Wide Quantum Criticality at the Surface of Class AIII Topological Phases: An “Energy Stack” of Integer Quantum Hall Plateau Transitions
In the absence of spin-orbit coupling, the conventional dogma of Anderson localization asserts that all states localize in two dimensions, with a glaring exception: the quantum Hall plateau transition (QHPT). In that case, the localization length diverges and interference-induced quantum-critical spatial fluctuations appear at all length scales. Normally, QHPT states occur only at isolated energies; accessing them therefore requires fine-tuning of the electron density or magnetic field. In this paper we show that QHPT states can be realized throughout an energy continuum, i.e., as an “energy stack” of critical states wherein each state in the stack exhibits QHPT phenomenology. The stacking occurs without fine-tuning at the surface of a class AIII topological phase, where it is protected by U(1) and (anomalous) chiral or time-reversal symmetries. Spectrum-wide criticality is diagnosed by comparing numerics to universal results for the longitudinal Landauer conductance and wave function multifractality at the QHPT. Results are obtained from an effective 2D surface field theory and from a bulk 3D lattice model. We demonstrate that the stacking of quantum-critical QHPT states is a robust phenomenon that occurs for AIII topological phases with both odd and even winding numbers. The latter conclusion may have important implications for the still poorly understood logarithmic conformal field theory believed to describe the QHPT
Dynamic Causality in Event Structures
Event Structures (ESs) address the representation of direct relationships
between individual events, usually capturing the notions of causality and
conflict. Up to now, such relationships have been static, i.e., they cannot
change during a system run. Thus, the common ESs only model a static view on
systems. We make causality dynamic by allowing causal dependencies between some
events to be changed by occurrences of other events. We first model and study
the case in which events may entail the removal of causal dependencies, then we
consider the addition of causal dependencies, and finally we combine both
approaches in the so-called Dynamic Causality ESs. For all three newly defined
types of ESs, we study their expressive power in comparison to the well-known
Prime ESs, Dual ESs, Extended Bundle ESs, and ESs for Resolvable Conflicts.
Interestingly, Dynamic Causality ESs subsume Extended Bundle ESs and Dual ESs
but are incomparable with ESs for Resolvable Conflicts
Generalized surface multifractality in 2D disordered systems
Recently, a concept of generalized multifractality, which characterizes
fluctuations and correlations of critical eigenstates, was introduced and
explored for all ten symmetry classes of disordered systems. Here, by using the
non-linear sigma-model field theory, we extend the theory of generalized
multifractality to boundaries of systems at criticality. Our numerical
simulations on two-dimensional (2D) systems of symmetry classes A, C, and AII
fully confirm the analytical predictions of pure-scaling observables and Weyl
symmetry relations between critical exponents of surface generalized
multifractality. This demonstrates validity of the non-linear sigma-model field
theory for description of Anderson-localization critical phenomena not only in
the bulk but also on the boundary. The critical exponents strongly violate
generalized parabolicity, in analogy with earlier results for the bulk,
corroborating the conclusion that the considered Anderson-localization critical
points are not described by conformal field theories. We further derive
relations between generalized surface multifractal spectra and linear
combinations of Lyapunov exponents of a strip in quasi-one-dimensional
geometry, which hold under assumption of invariance with respect to a
logarithmic conformal map. Our numerics demonstrate that these relations hold
with an excellent accuracy. Taken together, our results indicate an intriguing
situation: the conformal invariance is broken but holds partially at critical
points of Anderson localization.Comment: 19 pages, 21 figure
The Pathology Workforce and Clinical Licensure
There has been a recent recognition of the need to prepare PhD-trained scientists for increasingly diverse careers in academia, industry, and health care. The PhD Data Task Force was formed to better understand the current state of PhD scientists in the clinical laboratory workforce and collect up-to-date information on the training and certification of these laboratorians. In this report, we summarize the findings of the PhD Data Task Force and discuss the relevance of the data collected to the future supply of and demand for PhD clinical laboratory scientists. It is clear that there are multiple career opportunities for PhD scientists in academic medical centers, commercial clinical laboratories, biotechnology and pharmaceutical companies, and the federal government. Certified PhD scientists have and will continue to form an important resource for our technologically advancing field, bringing training in scientific methods, and technologies needed for modern laboratory medicine. The data gathered by the PhD Data Task Force will be of great interest to current and future PhD candidates and graduate PhD scientists as they make decisions regarding future career directions
Biofilm reactors for industrial bioconversion processes: employing potential of enhanced reaction rates
This article describes the use of biofilm reactors for the production of various chemicals by fermentation and wastewater treatment. Biofilm formation is a natural process where microbial cells attach to the support (adsorbent) or form flocs/aggregates (also called granules) without use of chemicals and form thick layers of cells known as "biofilms." As a result of biofilm formation, cell densities in the reactor increase and cell concentrations as high as 74 gL(-1 )can be achieved. The reactor configurations can be as simple as a batch reactor, continuous stirred tank reactor (CSTR), packed bed reactor (PBR), fluidized bed reactor (FBR), airlift reactor (ALR), upflow anaerobic sludge blanket (UASB) reactor, or any other suitable configuration. In UASB granular biofilm particles are used. This article demonstrates that reactor productivities in these reactors have been superior to any other reactor types. This article describes production of ethanol, butanol, lactic acid, acetic acid/vinegar, succinic acid, and fumaric acid in addition to wastewater treatment in the biofilm reactors. As the title suggests, biofilm reactors have high potential to be employed in biotechnology/bioconversion industry for viable economic reasons. In this article, various reactor types have been compared for the above bioconversion processes
Adaptive response of neonatal sepsis-derived Group B Streptococcus to bilirubin
This work was funded by the Neonatal Unit Endowment Fund, Aberdeen Maternity Hospital. RH is funded by a career researcher fellowship from NHS Research Scotland. SG was funded by the MRC Flagship PhD programme. We are grateful for the support of Dr Phil Cash and Aberdeen Proteomics, at University of Aberdeen, in completing this project. Supplementary information accompanies this paper at https://doi.org/10.1038/s41598-018-24811-3.Peer reviewedPublisher PD
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