COST EFFECTIVE GREEN SYNTHESIS AND CHARACTERIZATION OF SILVER NANOPARTICLES FROM AVICENNIA ALBA BLUME LEAVES AND THEIR ANTIBACTERIAL ACTIVITY

Introduction: In recent years, green synthesis of silver nanoparticles (AgNPs) has gained much interest from chemists and researchers and alsoincreasing commercial demand for nanoparticles due to their wide applicability in various areas such as electronics, catalysis, chemistry, energy, andmedicine.Objective: In the present study, AgNPs were synthesized from 1 mM AgNOsolution through the extract of Avicennia alba leaves. It is a cost-effectiveand eco-friendly technique. The nature of AgNPs synthesized was analyzed by UV-visible spectroscopy, Fourier transform infrared spectroscopy, andscanning electron microscopy. The antibacterial potential of synthesized AgNPs was compared with that of standard antibiotic by agar well diffusionmethod.3 Results: The antibacterial activity results revealed that A. alba leaf AgNPs showed a significant zone of inhibition against the majority of testedbacteria than the streptomycin. Arthrobacter protophormiae and Proteus mirabilis were found to be two-fold sensitive to AgNPs of A. alba leaf thanto positive control, streptomycin. Rhodococcus rhodochrous was found sensitive only to AgNPs but not to streptomycin. Other remaining sensitivebacteria exhibited more or less same susceptibility to AgNPs and streptomycin.Conclusion: AgNPs of A. alba leaf showed broad spectrum antibacterial activity and may be a good alternative therapeutic approach in future.Keywords: Green synthesis, Silver nanoparticles, Avicennia alba leaves, Fourier transform infrared spectroscopy, Scanning electron microscopy,Antibacterial activity

DNA Binding and Photocleavage Studies of Cobalt(III) Polypyridine Complexes: [Co(en)2PIP]3+, [Co(en)2IP]3+, and [Co(en)2phen-dione]3+

In this paper, three complexes of type [Co(en)2PIP]3+(PIP=2-phenylimidazo[4,5-f][1,10,] phenanthroline)(1), [Co(en)2IP]3+ (IP = imidazo[4,5-f][1,10,] phenanthroline)(2), and [Co(en)2phen-dione]3+(1,10 phenanthroline 5,6,dione)(3) have been synthesized and characterized by UV/VIS, IR, 1H NMR spectral methods. Absorption spectroscopy, emission spectroscopy, viscosity measurements, and DNA melting techniques have been used for investigating the binding of these two complexes with calf thymus DNA, and photocleavage studies were used for investigating these binding of these complexes with plasmid DNA. The spectroscopic studies together with viscosity measurements and DNA melting studies support that complexes 1 and 2 bind to CT DNA (= calf thymus DNA) by intercalation mode via IP or PIP into the base pairs of DNA, and complex 3 is binding as groove mode. Complex 1 binds more avidly to CT DNA than 2 and 3 which is consistent with the extended planar ring π system of PIP. Noticeably, the two complexes have been found to be efficient photosensitisers for strand scissions in plasmid DNA

Biosynthesis, Characterization and Antibacterial activity of Silver nanoparticles of Excoecaria agallocha L. fruit extract

In this present study, Excoecaria agallocha fruit aqueous extract was used to synthesize Silver Nano Particles (Ag NPs/SNPs) which has proven as eco-friendly, nontoxic, less time consuming and energy saving. The synthesized SNPs were characterized by UV-Visible spectroscopy, FTIR and SEM studies. The SNPs were checked for the antibacterial activity against both Gram positive and Gram negative bacteria. The characterization studies clearly revealed the formation and synthesis of SNPs which also showed the inhibitory activity on the tested bacteria.  SNPs of Excoecaria agallocha fruit showed higher zone of inhibition against Micrococcus luteus, Arthrobacter protophormiae, Rhodococcus rhodochrous, Bacillus subtilis, Alcaligens faecalis, Enterobacter aerogenes, Proteus mirabilis and Salmonella enterica when compared to that of standard antibiotic, Streptomycin

Label-free proteomic analysis of red blood cell membrane fractions from abdominal aortic aneurysm patients

PURPOSE: To test whether red blood cell (RBC) membrane composition is modified in abdominal aortic aneurysms (AAA) patients. EXPERIMENTAL DESIGN: RBC membrane extracts from AAA patients (aortic diameter >3 cm, n = 7) and control subjects (n = 4) were analyzed by a label-free quantitative MS-based strategy, using spectral count data. Additional validation was performed by western-blot. RESULTS: Data analysis based on spectral count from MS/MS-based experiments provided us a signature of 39 proteins differentially expressed in RBC membranes between AAA and controls (changes equal/over 1.515-fold; p-values equal/lower 0.05). MS data revealed altered levels of structural membrane proteins (e.g. spectrins and ankyrin), components of the degradation machinery (proteasome subunits), and oxidative stress related proteins (e.g. catalase and peroxiredoxin-2) among others. Decreased catalase and peroxiredoxin-2 expression in RBC membrane of AAA patients compared to controls were further validated by Western blot, confirming the proteomic results. CONCLUSIONS AND CLINICAL RELEVANCE: RBCs membrane protein composition is altered in AAA patients, which could be involved in the pathological role of RBCs in aortic tissue and become potential targets to prevent AAA progression.S

AudioCNN: Audio Event Classification With Deep Learning Based Multi-Channel Fusion Networks

Title from PDF of title page viewed February 25, 2021VitaIncludes bibliographical references (page 42-44)Thesis (M.S.)--School of Computing and Engineering. University of Missouri--Kansas City, 2020Thesis advisor: Yugyung LeeIn recent years, there is growing interest in environmental sound classification with a plethora of real-world applications, especially in audio fields like speech and music. Recent research works have proven spectral images based on deep learning models for better performance than standard methods. This thesis intends to design a fusion system by combining various audio features, including Spectrogram (SG), Chromagram (CG), and Mel Frequency Cepstral Coefficient (MFCC), for useful environmental sound classification. We propose the AudioCNN model based on a fusion network consisting of multiple Convolutional Neural Networks (CNN) with aggregation methods for various spectral image spectrogram features and audio-specific data augmentation techniques. We have conducted our extensive experiments with benchmark datasets, including Urbansound8k, ESC-50, and ESC-10, emotion datasets. We have obtained state-of-the-art results by outperforming the previous solutions. The experiment results show that combined features with lighter network CNN models outperform baseline environmental sound classification methods. The proposed Multi-Channel fusion network with data augmentation achieved competitive results on UrbanSound8K datasets compared to existing models.Introduction -- Background -- Related work -- Methodology -- Results and evaluation -- Conclusio

Legacy Authentication Methods Preventing Key logging Attacks

The objective is not protected the authentication process against the shoulder surfing attacker who be able to see or cooperation at the same time both devices over the shoulder, but quite to make it hard forthe opponent to open the attack. We show how visualization can improve not only safety but also usability by proposing two visual authentication protocols: one for password-based authentication, and the other for one-time-password. During thorough study, we show that our protocols are impervious to many of the challenging attacks appropriate to other protocols in the literature. Additionally, using an wide-ranging case study on a prototype of our protocols, we underline the potential of our protocols in real-world consumption addressing users shortcomings and limitations

A CUMULATIVE KEY FOR FLEXIBLE ADOPTIONS OF CODE TEXT GROUP

Data talking about is a vital functionality in cloud storage. Within the following sentences, we show the simplest approach to securely, efficiently, and flexibly share information with others in cloud storage. We describe new public-key cryptosystems which produce constant-size cipher texts to make certain that efficient delegation of understanding legal rights for virtually a number of cipher texts could be accomplished. The novelty is that you may aggregate a number of secret keys making them as compact like a single key, but encompassing pressure of all the keys being aggregated. Basically, the important thing factor holder can to create constant-size aggregate key for flexible choices of cipher text occur cloud storage, nevertheless another encoded files outdoors the set remain private. This compact aggregate key could be moved to other people or perhaps be kept in the wise card with limited secure storage. We provide formal security analysis within our schemes inside the standard model. We describe other use of our schemes. Particularly, our schemes provide you with the first public-key patient-controlled file encryption for flexible hierarchy, which was unfamiliar. Most likely probably the most well-loved flexibility of talking about numerous selected documents with numerous clients demands different file encryption keys to be used for many documents. However, this signifies involve securely disbursing to clients lots of keys for file encryption and check, and people clients will have to securely keep received keys, and submit a likewise many keyword trapdoors for your cloud to manage to perform search inside the shared data. The implied reliance on secure communication, storage, and complexity clearly renders the approach improper

Di-μ-sulfato-κ4 O:O′-bis­[diaqua­(1H-imidazo[4,5-f][1,10]phenanthroline-κ2 N 7,N 9)cobalt(II)] dihydrate

In the centrosymmetric dinuclear title compound, [Co2(SO4)2(C13H8N4)2(H2O)4]·2H2O, the CoII atom is coord­in­ated by two N atoms from two 1H-imidazo[4,5-f][1,10]phenanthroline ligands, two O atoms from two sulfate anions and two O atoms from water mol­ecules in a distorted octa­hedral geometry. The Co⋯Co separation is 5.1167 (7) Å. The coordinated and uncoordinated water mol­ecules engage in N—H⋯O and O—H⋯O hydrogen-bonding inter­actions

DNA Binding and Photocleavage Studies of Cobalt(III) Ethylenediamine Pyridine Complexes: [Co(en)2(py)2]3+ and [Co(en)2(mepy)2]3+

Two novel cobalt(III) pyridine complexes (1) [Co(en)2(py)2]3+ and (2) [Co(en)2(mepy)2]3+ (en=ethylenediamine, py=pyridine, and mepy=methylpyridine) have been synthesized and characterized. The interaction of these complexes with calf thymus DNA was investigated by absorption, emission spectroscopy, viscosity measurements, DNA melting, and DNA photocleavage. Results suggest that the two complexes bind to DNA via groove mode and complex 2 binds more strongly to CT DNA than complex 1. Moreover, these Co(III) complexes have been found to promote the photocleavage of plasmid DNA pBR322 under irradiation at 365 nm, cytotoxicity results of complexes are also showing anticancer activity

Efficient and region-selective conversion of octanes to epoxides under ambient conditions: Performance of tri-copper catalyst, [Cu3I(L)]+1 (L=7-N-Etppz)

In this paper, is described the conversion of the octane group of hydrocarbons into industrially important epoxides using tri-copper catalyst, [Cu3I(L)]+1 (L=7-N-Etppz). The role of hydrogen peroxide as a sacrificial oxygen donor during catalytic conversion to epoxides has been investigated. The performance of the catalyst has been evaluated in terms of turnover numbers (TON) and turnover frequencies (TOF) reported in this article.