A 3D Framework for Characterizing Microstructure Evolution of Li-Ion Batteries

Lithium-ion batteries are commonly found in many modern consumer devices, ranging from portable computers and mobile phones to hybrid- and fully-electric vehicles. While improving efficiencies and increasing reliabilities are of critical importance for increasing market adoption of the technology, research on these topics is, to date, largely restricted to empirical observations and computational simulations. In the present study, it is proposed to use the modern technique of X-ray microscopy to characterize a sample of commercial 18650 cylindrical Li-ion batteries in both their pristine and aged states. By coupling this approach with 3D and 4D data analysis techniques, the present study aimed to create a research framework for characterizing the microstructure evolution leading to capacity fade in a commercial battery. The results indicated the unique capabilities of the microscopy technique to observe the evolution of these batteries under aging conditions, successfully developing a workflow for future research studies

IT as a Resource for Competitive Agility: an Analysis of Firm Performance during Industry Turbulence

In an increasingly fast-paced business context, agility is crucial to firm performance. Competitive agility, the ability of a firm to rapidly sense and respond to changes in its environment, is especially important during industry turbulence. This research examines whether investment in Information Technology (IT) enhances firms’ competitive agility using analysis of firm performance during industry growth and contraction. The research approach addresses the causality question faced by previous IT productivity studies by focusing on ex-ante IT investment and subsequent firm performance during periods of unanticipated industry shocks. Findings indicate that IT investment enhances competitive agility but only in industries with unanticipated growth, calling for further investigation into the use of IT during unanticipated industry downturn

Perceive it or Not: Information Quality and the Investors’ Response to Earning Surprises of Technologically Advanced Companies

One of the primary measures of information systems (IS) success that has been the subject of much investigation in a variety of contexts is information quality (DeLone & McLean, 1992; 2003). This paper hones in on the impact of perceived information quality in the context of the financial markets, where quality of accounting information is particularly important, as it informs investment decisions and impacts stock prices. In particular, seminal accounting research has consistently found that earnings announcements possess informational value (information content) based upon which the market reacts (Beaver, 1968). Market reaction to surprises in earnings announcements has long been used to understand the quality of the earnings announced and studies have explored various factors affecting the response. The current study adds to this body of research by factoring in the perceived quality of the information systems environment. We hypothesize that information reported by companies known for developing and employing sophisticated IT systems is weighed more heavily by investors. We conduct an analysis of stock price before and after earnings announcement surprises among firms known for sophisticated IT systems. Results provide direct support for our hypothesis, indicating that the market reacts more strongly to earnings surprises (both positive and negative) reported by innovative users of IT as compared to less innovative users of IT. These results contribute to a new insight into the circumstances that affect the information content of earnings announcements as well as a richer perspective on the impact of investment in advanced information systems in terms of perceived quality of a company’s information environment by the financial markets

VIFECO: An Open-Source Software for Counting Features on a Video

The aim of this article is to describe an open-source application (Vifeco) that makes it possible to manually identify features on a video. Vifeco also allows to: manage the number of users, create a category (feature) and a collection of categories, read video and identify the features on it, and analyze the counting concordance between two users. Written in Java 11 with the JavaFX UI toolkit, Vifeco is a stand-alone, multiplatform (Windows, Mac and Linux) and multi-language (3 languages supported) application. The software is available under Apache Licence on GitHub ('https://github.com/LAEQ/vifeco')

EM-mosaic detects mosaic point mutations that contribute to congenital heart disease.

BackgroundThe contribution of somatic mosaicism, or genetic mutations arising after oocyte fertilization, to congenital heart disease (CHD) is not well understood. Further, the relationship between mosaicism in blood and cardiovascular tissue has not been determined.MethodsWe developed a new computational method, EM-mosaic (Expectation-Maximization-based detection of mosaicism), to analyze mosaicism in exome sequences derived primarily from blood DNA of 2530 CHD proband-parent trios. To optimize this method, we measured mosaic detection power as a function of sequencing depth. In parallel, we analyzed our cohort using MosaicHunter, a Bayesian genotyping algorithm-based mosaic detection tool, and compared the two methods. The accuracy of these mosaic variant detection algorithms was assessed using an independent resequencing method. We then applied both methods to detect mosaicism in cardiac tissue-derived exome sequences of 66 participants for which matched blood and heart tissue was available.ResultsEM-mosaic detected 326 mosaic mutations in blood and/or cardiac tissue DNA. Of the 309 detected in blood DNA, 85/97 (88%) tested were independently confirmed, while 7/17 (41%) candidates of 17 detected in cardiac tissue were confirmed. MosaicHunter detected an additional 64 mosaics, of which 23/46 (50%) among 58 candidates from blood and 4/6 (67%) of 6 candidates from cardiac tissue confirmed. Twenty-five mosaic variants altered CHD-risk genes, affecting 1% of our cohort. Of these 25, 22/22 candidates tested were confirmed. Variants predicted as damaging had higher variant allele fraction than benign variants, suggesting a role in CHD. The estimated true frequency of mosaic variants above 10% mosaicism was 0.14/person in blood and 0.21/person in cardiac tissue. Analysis of 66 individuals with matched cardiac tissue available revealed both tissue-specific and shared mosaicism, with shared mosaics generally having higher allele fraction.ConclusionsWe estimate that ~ 1% of CHD probands have a mosaic variant detectable in blood that could contribute to cardiac malformations, particularly those damaging variants with relatively higher allele fraction. Although blood is a readily available DNA source, cardiac tissues analyzed contributed ~ 5% of somatic mosaic variants identified, indicating the value of tissue mosaicism analyses

A systematic review of biomarkers for disease progression in Parkinson's disease

Peer reviewedPublisher PD

A randomised controlled trial of small particle inhaled steroids in refractory eosinophilic asthma (SPIRA)

Background: Some patients with refractory asthma have evidence of uncontrolled eosinophilic inflammation in the distal airways. While traditional formulations of inhaled steroids settle predominantly in the large airways, newer formulations with an extra-fine particle size have a more peripheral pattern of deposition. Specifically treating distal airway inflammation may improve asthma control. Methods: 30 patients with refractory asthma despite high dose inhaled corticosteroids were identified as having persistent airway eosinophilia. Following 2 weeks of prednisolone 30 mg, patients demonstrating an improvement in asthma control were randomised to receive either ciclesonide 320 µg twice daily or placebo in addition to usual maintenance therapy for 8 weeks. The primary outcome measure was sputum eosinophil count at week 8. Alveolar nitric oxide was measured as a marker of distal airway inflammation. Results: There was continued suppression of differential sputum eosinophil counts with ciclesonide (median 2.3%) but not placebo (median 4.5%) though the between-group difference was not significant. When patients who had changed their maintenance prednisolone dose during the trial were excluded the difference between groups was significant (1.4% vs 4.5%, p=0.028). Though alveolar nitric oxide decreased with ciclesonide the value did not reach statistical significance. Conclusions: These data demonstrate that patients with ongoing eosinophilic inflammation are not truly refractory, and that suppression of airway eosinophilia may be maintained with additional inhaled corticosteroid. Further work is needed with a focus on patient-orientated outcome measures such as exacerbation rate, with additional tests of small airway function. Trial registration number NCT01171365. Protocol available at http://www.clinicaltrials.gov

Lack of group X secreted phospholipase A₂ increases survival following pandemic H1N1 influenza infection

The role of Group X secreted phospholipase A2 (GX-sPLA2) during influenza infection has not been previously investigated. We examined the role of GX-sPLA2 during H1N1 pandemic influenza infection in a GX-sPLA2 gene targeted mouse (GX−/−) model and found that survival after infection was significantly greater in GX−/− mice than in GX+/+ mice. Downstream products of GX-sPLA2 activity, PGD2, PGE2, LTB4, cysteinyl leukotrienes and Lipoxin A4 were significantly lower in GX−/− mice BAL fluid. Lung microarray analysis identified an earlier and more robust induction of T and B cell associated genes in GX−/− mice. Based on the central role of sPLA2 enzymes as key initiators of inflammatory processes, we propose that activation of GX-sPLA2 during H1N1pdm infection is an early step of pulmonary inflammation and its inhibition increases adaptive immunity and improves survival. Our findings suggest that GX-sPLA2 may be a potential therapeutic target during influenza