Stable Electromyographic Sequence Prediction During Movement Transitions using Temporal Convolutional Networks

Transient muscle movements influence the temporal structure of myoelectric signal patterns, often leading to unstable prediction behavior from movement-pattern classification methods. We show that temporal convolutional network sequential models leverage the myoelectric signal's history to discover contextual temporal features that aid in correctly predicting movement intentions, especially during interclass transitions. We demonstrate myoelectric classification using temporal convolutional networks to effect 3 simultaneous hand and wrist degrees-of-freedom in an experiment involving nine human-subjects. Temporal convolutional networks yield significant $(p<0.001)$ performance improvements over other state-of-the-art methods in terms of both classification accuracy and stability.Comment: 4 pages, 5 figures, accepted for Neural Engineering (NER) 2019 Conferenc

Collective modes and electromagnetic response of a chiral superconductor

Motivated by the recent controversy surrounding the Kerr effect measurements in strontium ruthenate \cite{xia:167002}, we examine the electromagnetic response of a clean chiral p-wave superconductor. When the contributions of the collective modes are accounted for, the Hall response in a clean chiral superconductor is smaller by several orders of magnitude than previous theoretical predictions and is too small to explain the experiment. We also uncover some unusual features of the collective modes of a chiral superconductor, namely, that they are not purely longitudinal and couple to external transverse fields.Comment: 8 page

Synchronization Based Approach for Estimating All Model Parameters of Chaotic Systems

The problem of dynamic estimation of all parameters of a model representing chaotic and hyperchaotic systems using information from a scalar measured output is solved. The variational calculus based method is robust in the presence of noise, enables online estimation of the parameters and is also able to rapidly track changes in operating parameters of the experimental system. The method is demonstrated using the Lorenz, Rossler chaos and hyperchaos models. Its possible application in decoding communications using chaos is discussed.Comment: 13 pages, 4 figure

Likelihood-ratio ranking of gravitational-wave candidates in a non-Gaussian background

We describe a general approach to detection of transient gravitational-wave signals in the presence of non-Gaussian background noise. We prove that under quite general conditions, the ratio of the likelihood of observed data to contain a signal to the likelihood of it being a noise fluctuation provides optimal ranking for the candidate events found in an experiment. The likelihood-ratio ranking allows us to combine different kinds of data into a single analysis. We apply the general framework to the problem of unifying the results of independent experiments and the problem of accounting for non-Gaussian artifacts in the searches for gravitational waves from compact binary coalescence in LIGO data. We show analytically and confirm through simulations that in both cases the likelihood ratio statistic results in an improved analysis.Comment: 10 pages, 6 figure

Thymic epithelial tumours - research trends

300-309The global research trends and potential gaps in global research on thymic epithelial tumours (TETs) were scientometrically identified based on the data retrieved from Web of Science (WoS). The analysis indicates that the global research on TETs is presenting a positive growth trend. The transformative activity index (TAI) value depicts that three Asian countries, China, South Korea, and India, recorded the highest increase in TAI during the last decade, while the maximum decline in TAI was for Norway, Taiwan and Netherlands. The University of Texas has published most papers on TETs, and Heidelberg University had the highest collaboration. There is not enough research ongoing on some paraneoplastic disorders associated with TETs like cerebellar degeneration, erythrocytosis, pancytopenia, rheumatoid arthritis, Sjogren’s syndrome, interstitial pneumonitis, chronic mucosal candidiasis, T-cell deficiency syndromes, ulcerative colitis, and hypertrophic osteoarthropathy. Most of the TET treatment studies were on surgery and chemotherapy. Research on other treatment modalities like immunotherapy and targeted therapy also needs improvement

Thymic epithelial tumours - research trends

The global research trends and potential gaps in global research on thymic epithelial tumours (TETs) were scientometrically identified based on the data retrieved from Web of Science (WoS). The analysis indicates that the global research on TETs is presenting a positive growth trend. The transformative activity index (TAI) value depicts that three Asian countries, China, South Korea, and India, recorded the highest increase in TAI during the last decade, while the maximum decline in TAI was for Norway, Taiwan and Netherlands. The University of Texas has published most papers on TETs, and Heidelberg University had the highest collaboration. There is not enough research ongoing on some paraneoplastic disorders associated with TETs like cerebellar degeneration, erythrocytosis, pancytopenia, rheumatoid arthritis, Sjogren’s syndrome, interstitial pneumonitis, chronic mucosal candidiasis, T-cell deficiency syndromes, ulcerative colitis, and hypertrophic osteoarthropathy. Most of the TET treatment studies were on surgery and chemotherapy. Research on other treatment modalities like immunotherapy and targeted therapy also needs improvement

Scientometric study of global mucormycosis (black fungus) research

Mucormycosis, a rare infection, caught the attention during the COVID-19 pandemic. Many COVID-19 and post- COVID-19 patients were infected by the black fungus. This study presents a scientometric review of 6661 research articles related to mucormycosis published from 1947 to 2021 indexed in Scopus and Web of Science. The study analyses the publications quantitatively in terms of growth, collaboration, countries, institutions, journals, keywords, and impact (citation) using the Bib-Excel and visualized in the VOSviewer tool. The highest number of publications on mucormycosis research is from the USA, followed by India, China, Germany, France, and Japan. Most of the research collaborations are among institutions in Europe and the USA. The University of Texas-USA is the most productive institute followed by PGIMER-India. However, the papers from Indian institutes have a significantly lower citation impact than those from the other leading countries. Since most international research is restricted among a few institutes, the international collaboration in mucormycosis research needs to be enhanced for high-quality research. The analysis of author-assigned keywords showed that the studies on the drug isavuconazole to treat mucormycosis are lesser than other major drugs. The research on surgical management of mucormycosis can be improved. Research on the diagnosis methods for mucormycosis and the genetic studies on the causative fungi of the order Mucorales are to be promoted. There are a few studies on Rhizomucor, Lichtheimia, Cunninghamella, Saksenaea, and Apophysomyces, among the several fungi genera that cause mucormycosis. Since mucormycosis is becoming more prevalent and severely affecting a larger population as a post-COVID syndrome, research in this area should be strengthened and new drugs should be explored

Comparative study of titanium elastic nailing versus hip spica in treatment of femoral shaft fractures in children

Background: There is no consensus on treatment of closed femoral-shaft fractures in children. We compared hip spica cast with titanium elastic nailing (TEN) in the treatment of femoral-shaft fractures in children.Methods: Study was conducted at SMS Medical College, Jaipur (Rajasthan). Out of 90 Patients of diaphyseal fracture femur, 45were treated conservatively by spica cast and 45 were treated with TEN. Follow up done regularly up to twelve months of injury with taking into account, various parameters.Results: All diaphyseal fractures of femur healed, whether treated conservatively by spica cast or treated operatively with TEN. The time of union and weight bearing was less in operative group as comparative to spica cast group. Ten patients (22.22%) in spica group compared to three patients (6.66%) in operative group had malunion and two patients (4.4%) in spica group compared none in operative group had delayed union.Conclusions: Results of TEN turned out to be far superior to traction and spica cast treatment in paediatric femoral fractures. Rate of complications was far low with operative than conservative Treatment

Improving the LSST dithering pattern and cadence for dark energy studies

The Large Synoptic Survey Telescope (LSST) will explore the entire southern sky over 10 years starting in 2022 with unprecedented depth and time sampling in six filters, $ugrizy$. Artificial power on the scale of the 3.5 deg LSST field-of-view will contaminate measurements of baryonic acoustic oscillations (BAO), which fall at the same angular scale at redshift $z \sim 1$. Using the HEALPix framework, we demonstrate the impact of an "un-dithered" survey, in which $17\%$ of each LSST field-of-view is overlapped by neighboring observations, generating a honeycomb pattern of strongly varying survey depth and significant artificial power on BAO angular scales. We find that adopting large dithers (i.e., telescope pointing offsets) of amplitude close to the LSST field-of-view radius reduces artificial structure in the galaxy distribution by a factor of $\sim$10. We propose an observing strategy utilizing large dithers within the main survey and minimal dithers for the LSST Deep Drilling Fields. We show that applying various magnitude cutoffs can further increase survey uniformity. We find that a magnitude cut of $r < 27.3$ removes significant spurious power from the angular power spectrum with a minimal reduction in the total number of observed galaxies over the ten-year LSST run. We also determine the effectiveness of the observing strategy for Type Ia SNe and predict that the main survey will contribute $\sim$100,000 Type Ia SNe. We propose a concentrated survey where LSST observes one-third of its main survey area each year, increasing the number of main survey Type Ia SNe by a factor of $\sim$1.5, while still enabling the successful pursuit of other science drivers.Comment: 9 pages, 6 figures, published in SPIE proceedings; corrected typo in equation