On Chiral Symmetry Restoration at Finite Density in Large N_c QCD

At large N_c, cold nuclear matter is expected to form a crystal and thus spontaneously break translational symmetry. The description of chiral symmetry breaking and translational symmetry breaking can become intertwined. Here, the focus is on aspects of chiral symmetry breaking and its possible restoration that are by construction independent of the nature of translational symmetry breaking---namely spatial averages of chiral order parameters. A system will be considered to be chirally restored provided all spatially-averaged chiral order parameters are zero. A critical question is whether chiral restoration in this sense is possible for phases in which chiral order parameters are locally non-zero but whose spatial averages all vanish. We show that this is not possible unless all chirally-invariant observables are spatially uniform. This result is first derived for Skyrme-type models, which are based on a nonlinear sigma model and by construction break chiral symmetry on a point-by-point basis. A no-go theorem for chiral restoration (in the average sense) for all models of this type is obtained by showing that in these models there exist chirally symmetric order parameters which cannot be spatially uniform. Next we show that the no-go theorem applies to large N_c QCD in any phase which has a non-zero but spatially varying chiral condensate. The theorem is demonstrated by showing that in a putative chirally-restored phase, the field configuration can be reduced to that of a nonlinear sigma model.Comment: 12 pages, 1 tabl

ANALYTICAL METHOD DEVELOPMENT AND VALIDATION OF NADIFLOXACIN BY HIGH PERFORMANCE LIQUID CHROMATOGRAPHY

Objective: In the present work, a rapid, precise and sensitive HPLC Method with UV detection (237 nm) for analysis of Nadifloxacin in Bulk was developed. Methods: Chromatography was performed with a mobile phase containing a mixture of 0.05 %v/v trifluoro acetic acid and acetonitrile (65:35 v/v) with flow rate 1.2 ml min-l. The proposed method was validated as per the standard guidelines. Result: The retention time was found to be 12.3 min. In the range of 0.03-5 ppm, the linearity of Nadifloxacin shows a correlation co-efficient of 0.9997. Percentage recovery of the drug was found to be good (98-102%). Validation of the developed method was successful for precision, robustness, specificity and selectivity and ruggedness. Conclusion: The developed HPLC method was found to be simple, sensitive, precise, accurate and reproducible and can be successfully used for the quantitative estimation of Nadifloxacin in bulk

Correction: Gustafson et al., Whole Genome Sequencing Revealed Mutations in Two Independent Genes as the Underlying Cause of Retinal Degeneration in an Ashkenazi Jewish Pedigree. Genes 2017, 8, 210.

Following publication of our article [1], we identified discrepancies between the pedigree shown in Figure 1 and the rest of the text.[...]

Mutations in phosphodiesterase 6 identified in familial cases of retinitis pigmentosa.

To delineate the genetic determinants associated with retinitis pigmentosa (RP), a hereditary retinal disorder, we recruited four large families manifesting cardinal symptoms of RP. We localized these families to regions on the human genome harboring the α and β subunits of phosphodiesterase 6 and identified mutations that were absent in control chromosomes. Our data suggest that mutations in PDE6A and PDE6B are responsible for the retinal phenotype in these families

Okazaki fragment maturation in yeast: II. Cooperation between the polymerase and 3′-5′-exonuclease activities of Pol δ in the creation of a ligatable nick

To address the different functions of Pol δ and FEN1 (Rad27) in Okazaki fragment maturation, exonuclease-deficient polymerase Pol δ-01 and Pol δ-5DV (corresponding to alleles pol3–01-(D321A, E323A) and pol3–5DV-(D520V), respectively) were purified and characterized in this process. In the presence of the replication clamp PCNA, both wild-type and exo− Pol δ carried out strand displacement synthesis with similar rates; however, initiation of strand displacement synthesis was much more efficient with Pol δ-exo−. When Pol δ-exo− encountered a downstream primer, it paused with 3–5 nucleotides of the primer displaced, whereas the wild type carried out precise gap filling. Consequently, in the absence of FEN1, Pol δ exonuclease activity was essential for closure of simple gaps by DNA ligase. Compared with wild type, Okazaki fragment maturation with Pol δ-exo−proceeded with an increased duration of nick translation prior to ligation. Maturation was efficient in the absence of Dna2 and required Dna2 only when FEN1 activity was compromised. In agreement with these results, the proposed generation of double strand breaks inpol3-exo − rad27 mutants was suppressed by the overexpression of DNA2. Further genetic studies showed that pol3-exo − rad27 double mutants were sensitive to alkylation damage consistent with an in vivo defect in gap filling by exonuclease-deficient Pol δ

Classification methodology of CVD with localized feature analysis using Phase Space Reconstruction targeting personalized remote health monitoring

2016 Computing in Cardiology Conference (CinC), 11-14 September 2016, Vancouver, BC, CanadaThis is the final version of the article. Available from the publisher via the DOI in this recordThis paper introduces the classification methodology of Cardiovascular Disease (CVD) with localized feature analysis using Phase Space Reconstruction (PSR) technique targeting personalized health care. The proposed classification methodology uses a few localized features (QRS interval and PR interval) of individual Electrocardiogram (ECG) beats from the Feature Extraction (FE) block and detects the desynchronization in the given intervals after applying the PSR technique. Considering the QRS interval, if any notch is present in the QRS complex, then the corresponding contour will appear and the variation in the box count indicating a notch in the QRS complex. Likewise, the contour and the disparity of box count due to the variation in the PR interval localized wave have been noticed using the proposed PSR technique. ECG database from the Physionet (MIT-BIH and PTBDB) has been used to verify the proposed analysis on localized features using proposed PSR and has enabled us to classify the various abnormalities like fragmented QRS complexes, myocardial infarction, ventricular arrhythmia and atrial fibrillation. The design have been successfully tested for diagnosing various disorders with 98% accuracy on all the specified abnormal databases.This work is partly supported by the Department of Electronics and Information and Technology (DeitY), India under the “Internet of Things (IoT) for Smarter Healthcare” under Grant No: 13(7)/2012-CC&BT, dated 25 Feb 2013. Naresh V is funded by Ministry of Human Resource Development (MHRD) PhD studentship through IIT Hyderabad