Imprecise Arithmetic for Low Power Image Processing

Sometimes reducing the precision of a numerical processor, by introducing errors, can lead to significant performance (delay, area and power dissipation) improvements without compromising the overall quality of the processing. In this work, we show how to perform the two basic operations, addition and multiplication, in an imprecise manner by simplifying the hardware implementation. With the proposed 'sloppy' operations, we obtain a reduction in delay, area and power dissipation, and the error introduced is still acceptable for applications such as image processing. © 2012 IEEE

Power Efficient Design of Parallel/Serial FIR Filters in RNS

It is well known that the Residue Number System (RNS) provides an efficient implementation of parallel FIR filters especially when the filter order and the dynamic range are high. The two main drawbacks of RNS, need of converters and coding overhead, make a serialized implementation of the FIR filter potentially disadvantageous with respect to filters implemented in the conventional number systems. In this work, we show a number of solutions which demonstrate that the power efficiency of RNS FIR filters implemented serially is maintained in ASIC technology, while in modern FPGA technology RNS implementations are less efficien

Polyglutamine expansion affects huntingtin conformation in multiple Huntington's disease models

Conformational changes in disease-associated or mutant proteins represent a key pathological aspect of Huntington's disease (HD) and other protein misfolding diseases. Using immunoassays and biophysical approaches, we and others have recently reported that polyglutamine expansion in purified or recombinantly expressed huntingtin (HTT) proteins affects their conformational properties in a manner dependent on both polyglutamine repeat length and temperature but independent of HTT protein fragment length. These findings are consistent with the HD mutation affecting structural aspects of the amino-terminal region of the protein, and support the concept that modulating mutant HTT conformation might provide novel therapeutic and diagnostic opportunities. We now report that the same conformational TR-FRET based immunoassay detects polyglutamine-and temperaturedependent changes on the endogenously expressed HTT protein in peripheral tissues and post-mortem HD brain tissue, as well as in tissues from HD animal models. We also find that these temperatureand polyglutamine-dependent conformational changes are sensitive to bona-fide phosphorylation on S13 and S16 within the N17 domain of HTT. These findings provide key clinical and preclinical relevance to the conformational immunoassay, and provide supportive evidence for its application in the development of therapeutics aimed at correcting the conformation of polyglutamine-expanded proteins as well as the pharmacodynamics readouts to monitor their efficacy in preclinical models and in HD patients

COVID-19 and RA share SPP1 myeloid pathway that drives PD-L1pos neutrophils and CD14pos monocytes

We explored the potential link between chronic inflammatory arthritis and COVID-19 pathogenic and resolving macrophage pathways and their role in COVID-19 pathogenesis. We found that BALF macrophage clusters FCN1pos and FCN1posSPP1pos predominant in severe COVID-19 were transcriptionally related to synovial tissue macrophage (STM) clusters CD48highS100A12pos and CD48posSPP1pos that drive Rheumatoid Arthritis (RA) synovitis. BALF macrophage cluster FABP4pos predominant in healthy lung was transcriptionally related to STM cluster TREM2pos that governs resolution of synovitis in RA remission. Plasma concentrations of SPP1 and S100A12 (key products of macrophage clusters shared with active RA) were high in severe COVID-19 and predicted the need for Intensive Care Unit transfer, and remained high in post-COVID-19 stage. High plasma levels of SPP1 were unique to severe COVID-19 when compared to other causes of severe pneumonia, and immunohistochemistry localized SPP1pos macrophages in the alveoli of COVID-19 lung. Investigation into SPP1 mechanisms of action revealed that it drives pro-inflammatory activation of CD14pos monocytes and development of PD-L1pos neutrophils, both hallmarks of severe COVID-19. In summary, COVID-19 pneumonitis appears driven by similar pathogenic myeloid cell pathways as those in RA, and their mediators such as SPP1 might be an upstream activator of the aberrant innate response in severe COVID-19 and predictive of disease trajectory including post-COVID-19 monitoring

COVID-19 atypical Parsonage-Turner syndrome: a case report

Background Neurological manifestations of Sars-CoV-2 infection have been described since March 2020 and include both central and peripheral nervous system manifestations. Neurological symptoms, such as headache or persistent loss of smell and taste, have also been documented in COVID-19 long-haulers. Moreover, long lasting fatigue, mild cognitive impairment and sleep disorders appear to be frequent long term neurological manifestations after hospitalization due to COVID-19. Less is known in relation to peripheral nerve injury related to Sars-CoV-2 infection. Case presentation We report the case of a 47-year-old female presenting with a unilateral chest pain radiating to the left arm lasting for more than two months after recovery from Sars-CoV-2 infection. After referral to our post-acute outpatient service for COVID-19 long haulers, she was diagnosed with a unilateral, atypical, pure sensory brachial plexus neuritis potentially related to COVID-19, which occurred during the acute phase of a mild Sars-CoV-2 infection and persisted for months after resolution of the infection. Conclusions We presented a case of atypical Parsonage-Turner syndrome potentially triggered by Sars-CoV-2 infection, with symptoms and repercussion lasting after viral clearance. A direct involvement of the virus remains uncertain, and the physiopathology is unclear. The treatment of COVID-19 and its long-term consequences represents a relatively new challenge for clinicians and health care providers. A multidisciplinary approach to following-up COVID-19 survivors is strongly advised

NSC105011

With the scaling of CMOS technology, critical paths in digital circuits have become largely sensitive to process, voltage and temperature variations as well as to aging effects, generally resulting into a mismatch between the simulated path delay of the circuit obtained with CAD tools and the actual path delay on the manufactured chip. In order to solve this issue and to also avoid conservative strategies based on increasing time margins, adaptive techniques are the most desirable solution because they should automatically sense and correct timing variations online. Implementing such adaptive strategies requires accurate, high resolution and compact delay measurement devices. In this work we propose an effective, fully-digital, online delay measurement circuit that can be entirely implemented in a standard cell technology without the need of custom elements. Our design provides low-cost multi-paths delay monitoring while achieving high accuracy of the measurements (in the order of 30ps