Light transmission through and its complete stoppage in an ultra slow wave optical medium

Light Wave transmission -- its compression, amplification, and the optical energy storage -- in an Ultra Slow Wave Medium (USWM) is studied analytically. Our phenomenological treatment is based entirely on the continuity equation for the optical energy flux, and the well known distribution-product property of Dirac delta-function. The results so obtained provide a clear understanding of some recent experiments on light transmission and its complete stoppage in an USWM. Keywords : Ultra slow light, stopped light, slow wave medium, EIT.Comment: (single-column 5pages PDF). Simple class-room phenomenological model of stopped light. Comments most welcom

Effect of Injected Noise on Electromagnetically Induced Transparency and Slow Light

We have examined theoretically the phenomenon of Electromagnetically Induced Transparency (EIT) in a three-level system operating in the lambda-configuration in presence of an externally injected noise coupling the ground level to the intermediate (metastable) level. The changes in the depth and the width of the induced transparency and the slowing down of the probe light have been calculated as function of the probe detuning and the strength of the injected noise. The calculations are within the rotating-wave approximation (RWA). Our main results are the reduction and the broadening of the EIT with increasing strength of the injected noise, and a reduction in the slowing down of group velocity of the probe-laser beam. Thus, the injected semi-classical noise, unlike the quantum-dynamical noise associated with the spontaneous emission, is not effectively cancelled by the EIT mechanism.Comment: 6 Pages, 7 Figure

Insilico interaction analysis of herbal bioactive molecules with Penicillin binding protein in staphylococcus aureus

Staphylococcus aureus is an opportunistic bacterial pathogen associated with asymptomatic colonization of the skin and mucosal surfaces of normal humans. Staphylococcus aureus isolates are often multidrug resistant. Antibiotics resistant Staphylococcus aureus is an emerging concern in the medical field. Due to their increasing resistance to numerous antibiotics, screening for alternate compound is required. Penicillin binding protein (PBP) was considered as an essential drug target for inhibiting bacterial growth. Molecular docking studies were performed to identify the lead molecule against Penicillin binding protein. Interaction of PBP with the plant derived compounds indicates the effective interaction of rosmarinic acid with highest fitness score and maximum number of hydrogen bonds (h-bonds). The study concludes that rosmarinic acid may be effective as an inhibitor for PBP and hence, can be regarded as a potential drug candidate for treating β-lactam resistant Staphylococcus aureu

Antimicrobial and DPPH Free Radical- Scavenging Activities of the Ethanol Extract of Propolis Collected from India

Propolis is a natural product derived from plant resins collected by honey bees. In the present study, ethanolic extract of Propolis (EEP) collected from South India were tested for their antibacterial, antifungal and antioxidative activities. Propolis from Apis mellifera and Trigona sp were collected and compared with the commercial Propolis. EEP from Apis mellifera and commercial Propolis showed higher activity against Staphylococcus aureus and Trigona sp EEP showed higher activity against Candida albicans than commercial. In addition, the total flavanoid and total polyphenol content were analyzed. The chemical compositions of Propolis were identified from Gas Chromatography and Mass Spectrum (GC-MS). The compound 1,4 Di-O-Acetyl-2,3,5-tri-O-Methylribitol (C12H22O7) was found to be first time in the propolis and the rest of the identified compounds were already reported. The results confirms the high DPPH free radical scavenging activity of Indian propolis. Thus Indian propolis, being a rich source of natural antioxidants, may be used in the prevention of various free radicals related diseases

Ensemble of Homogenous and Heterogeneous Classifiers using K-Fold Cross Validation with Reduced Entropy

Chronic kidney disease (CKD) affects millions of people worldwide, greatly reducing their quality of life and creating serious economic, social, and medical problems. Some automated diagnosis methods can detect chronic renal disease. In-depth studies on data mining techniques have recently focused on accuracy in the diagnosis of chronic renal illnesses, either by taking advantage of the disease's simplicity or doing feature selection in addition to pre-processing. In order to handle the unbalanced dataset in this work, Synthetic Minority Over Sampling Technique (SMOTE) is used during pre-processing. For this investigation, 400 data from the publicly accessible UCI machine learning (ML) repository are used. For the implementation, both homogeneous and heterogeneous ensemble classifiers which combine two separate classifiers have been used. Different machine learning (ML) techniques, such as the Classification and Regression Tree (CART), Adaboost classifier, Decision Tree (DT), Reduced Error Pruning Tree, Alternating Decision Tree, and Random Forests Algorithm and their ensembles with a significant reduction in entropy, are used to perform the classification. With a 99.12% accuracy rate and a 99.10% f1 score, the homogeneous classifier Adaboost-Random Forest outperforms other models in the prediction of CKD

Non-coding and Coding Transcriptional Profiles Are Significantly Altered in Pediatric Retinoblastoma Tumors.

Retinoblastoma is a rare pediatric tumor of the retina, caused by the homozygous loss of the Retinoblastoma 1 (RB1) tumor suppressor gene. Previous microarray studies have identified changes in the expression profiles of coding genes; however, our understanding of how non-coding genes change in this tumor is absent. This is an important area of research, as in many adult malignancies, non-coding genes including LNC-RNAs are used as biomarkers to predict outcome and/or relapse. To establish a complete and in-depth RNA profile, of both coding and non-coding genes, in Retinoblastoma tumors, we conducted RNA-seq from a cohort of tumors and normal retina controls. This analysis identified widespread transcriptional changes in the levels of both coding and non-coding genes. Unexpectedly, we also found rare RNA fusion products resulting from genomic alterations, specific to Retinoblastoma tumor samples. We then determined whether these gene expression changes, of both coding and non-coding genes, were also found in a completely independent Retinoblastoma cohort. Using our dataset, we then profiled the potential effects of deregulated LNC-RNAs on the expression of neighboring genes, the entire genome, and on mRNAs that contain a putative area of homology. This analysis showed that most deregulated LNC-RNAs do not act locally to change the transcriptional environment, but potentially function to modulate genes at distant sites. From this analysis, we selected a strongly down-regulated LNC-RNA in Retinoblastoma, DRAIC, and found that restoring DRAIC RNA levels significantly slowed the growth of the Y79 Retinoblastoma cell line. Collectively, our work has generated the first non-coding RNA profile of Retinoblastoma tumors and has found that these tumors show widespread transcriptional deregulation

Quantum Noise Randomized Ciphers

We review the notion of a classical random cipher and its advantages. We sharpen the usual description of random ciphers to a particular mathematical characterization suggested by the salient feature responsible for their increased security. We describe a concrete system known as AlphaEta and show that it is equivalent to a random cipher in which the required randomization is effected by coherent-state quantum noise. We describe the currently known security features of AlphaEta and similar systems, including lower bounds on the unicity distances against ciphertext-only and known-plaintext attacks. We show how AlphaEta used in conjunction with any standard stream cipher such as AES (Advanced Encryption Standard) provides an additional, qualitatively different layer of security from physical encryption against known-plaintext attacks on the key. We refute some claims in the literature that AlphaEta is equivalent to a non-random stream cipher.Comment: Accepted for publication in Phys. Rev. A; Discussion augmented and re-organized; Section 5 contains a detailed response to 'T. Nishioka, T. Hasegawa, H. Ishizuka, K. Imafuku, H. Imai: Phys. Lett. A 327 (2004) 28-32 /quant-ph/0310168' & 'T. Nishioka, T. Hasegawa, H. Ishizuka, K. Imafuku, H. Imai: Phys. Lett. A 346 (2005) 7

Growth performance of litopenaeus vannamei in biofloc treatments grown with different carbon sources

Experiments were conducted with three biofloc treatments and one control in triplicate in 1000 ltr capacity indoor tanks and water level filled up to 600 ltr. Enhanced shrimp growth was noticed in biofloc treatment tanks and a significant difference in the final average body weight of (15.92±0.07g) was found in the wheat flour treated shrimps than those of control group shrimp. The Feed Conversion Ratio differs significantly (P<0.05) between biofloc treatment group and control groups. Lowest FCR (0.5±0.07) was recorded in wheat flour as carbohydrate source biofloc treatment during the experiment. Highest Specific Growth Rate (4.59) was observed in the wheat flour treatment groups than that of other treatments and control groups. Wheat flour utilization as carbohydrate source to biofloc development for rearing of L. vannamei was proved to be the best option among all treatments. All the carbohydrate sources (wheat flour, tapioca flour and molasses) utilized for biofloc treatments indicated highest growth than control treatment