DNA-amine interactions: from monolayers to nanoparticles

DNA is a polyanionic molecule that can electrostatically interact with positively charged ligands. Interaction with surfactants such as CTAB leads to cooperative binding of detergent molecules through synergistic effects of electrostatic and hydrophobic forces. DNA can also form a monolayer at air-water interface with positively charged octylamine and nanoparticles with cationic lysine capped gold nanoparticles. Formation of such electrostatic composites of DNA has practical implications for developing DNA diagnostic systems and for lipidencapsulated DNA delivery systems

Isolation, speciation and antifungal susceptibility patterns of candida isolated from cases of chronic balanoposthitis

Background:Balanoposthitis is a common condition affecting 11% of male genitourinary clinic attendees and it can be a recurrent or persistent condition. Various predisposing factors like diabetes mellitus, sexual intercourse and usage of oral antibiotics can cause chronic balanoposthitis. The Objective of the study was to isolation and speciation of candida and their antifungal susceptibility patterns from the cases of chronic balanoposthitis.Methods: The study group comprised of swabs collected from 62 male patients with chronic balanoposthitis attending sexually transmitted diseases (STD) outpatient department (OPD), King George Hospital (KGH), Visakhapatnam. Standard mycological tests for the candida isolation, speciation and antifungal susceptibility were done.Results: Out of 62 samples, (85%) were culture positive for candida. The most common species isolated was C. parapsilosis (37.7%), followed by C. glabrata (28.3%), C. albicans (15.09%), C. dubliniensis (9.4%), C. krusei (7.5%) and C. tropicalis (1.88%). Most of the candida species showed sensitivity to amphotericin B, Nystatin, clotrimazole and ketoconazole. A relative resistance to fluconazole and itraconazole was observed.Conclusions: Chronic balanoposthitis is the most common infection in men attending STD, OPD. In the present study, diabetes is main predisposing factor than sexual intercourse and candida non albicans predominated over C. albicans. Resistance of candida species to azoles is on rise. This establishes the importance of determination of antifungal susceptibility patterns to prevent the emergence of drug resistance, prior to initiation of therapy.

Study of onychomycosis

Background: Onychomycosis is one of the most common fungal nail infections caused by Dermatophytes, Non-Dermatophytic Molds (NDM) and Yeast. Though it is not life-threatening, can cause pain, discomfort, and disfigurement. It decreases the nail growth rate. Objectives: This study was carried out to document the clinico-mycological pattern and antifungal susceptibility pattern of onychomycosis.Methods: The study group included 130 consecutive patients with suspected fungal nail infections, attending Dermatology outpatient department of King George Hospital, Visakhapatnam, Andhra Pradesh during November 2012 to August 2014. The nail clippings of the patients were collected and subjected to KOH mounts for direct microscopy and fungal culture and antifungal susceptibility tests.Results: Onychomycosis was common among males (66.92%) than females (33.08%) with highest incidence was in age group 31-40 years (41.37%). Finger or toenails were exclusively involved in 32.18% and 55.18% patients respectively while these were involved concurrently in the rest of the 12.65% patients. Distal and lateral subungual onychomycosis seen in 64.36% of the patients was the most common clinical type. KOH and culture positivity were recorded in 56.92% and 48.46% cases respectively. Dermatophytes (50.58%) were predominant isolate followed by NDM (27.58%) and yeast (21.84%). Clotrimazole and ketoconazole were most effective antifungals against dermatophytes. For NDM, itraconazole, nystatin and amphotericin B and for yeast fluconazole and itraconazole were effective.Conclusions: The present study gives an insight about the aetiological agents causing onychomycosis and their anti-fungal susceptibility pattern in this region. Thus, it can help in taking adequate control measures to prevent it

Sequential entrapment of PNA and DNA in lipid bilayers stacks

Sequential immobilization of single stranded DNA and complementary PNA molecules in thermally evaporated fatty amine films is demonstrated and evidence for their in-situ hybridization is presented

WEB MULTI REPRESENTATION REMOTENESS LEARNING FOR IMAGE RECOVERY

We there a particular plan of internet Multimodal Distance Metric Learning, that contemporaneously learns excellent poetry on whole woman tone and also the superlative stew of the poetry from multiplex modalities via active and ascendable networked study this report investigates a particular cage of internet Multi-modal Distance Metric Learning, and that learns size poetic rhythm from multi-modal data or numerous kinds of looks with an potent and expansible wired schooling plan. OMDML takes benefits of hooked up information approaches for perfection and scalability vis-à-vis substantial study tasks. Like an understated infamous hooked up research skill, the Perceptions equation easily updates the wear with the boost of an approaching occurrence having an eternal clout on any occasion it's misclassified. Although assorted DML data pass forthcoming implied in lore, most actual DML methods publicly integrate single-modal DML being they belong to skilled a length rhythmic either/or on gem of innovation or on the united promote time totally by concatenating multiplex kinds of divergent lineaments unitedly. To help narrow the computational cost, we ask a minimal-rank Online Multi-modal DML maxim, and that avoids the requirement of deed thorough constructive semi-definite projections and thus saves great computational cost for DML on high-dimensional data

Cationic surfactant mediated hybridization and hydrophobization of DNA molecules at the liquid/liquid interface and their phase transfer

Hybridization of complementary oligonucleotides mediated by a cationic surfactant at the water/hexane interface leads to hydrophobic, double-helical DNA which may be readily phase transferred to the organic phase and cast into thin films on solid substrates

INFLUENCE OF INJECTOR OPENING PRESSURE ON EXHAUST EMISSIONS IN DI DIESEL ENGINE WITH THREE LEVELS OF INSULATION WITH DIESEL OPERATION

ABSTRACT Experiments were conducted to study exhaust emissions of direct injection (DI) diesel engine with different levels of low heat rejection (LHR) combustion chamber such as i) ceramic coated cylinder head, ii) air gap insulated piston and air gap insulated liner and iii) ceramic coated cylinder head along with air gap insulation with pure diesel operation with varied injector opening pressure. Exhaust emissions of particulate emissions and oxides of nitrogen (NO x ) were determined at various values of brake mean effective pressure (BMEP) of the engine. Particulate emissions were measured by AVL Smoke meter, while NO x by Netel Chromatograph NO x analyzer. Engine with different versions of the combustion chamber showed comparable particulate emissions, while they increased NO x emissions drastically at full load operation of the engine, when compared with conventional engine. Engine with air gap insulated piston and air gap insulated liner showed lower NO x levels at 80% of the full load operation. However, exhaust emissions reduced with an increase of injector opening pressure with different versions of the combustion chamber

Isolation and speciation of genus candida in patients undergoing chemotherapy and radiotherapy for head and neck tumours

Background: Fungal infections occur as a result of defect in the immune system. The use of wide-spectrum antibiotics, immunosuppressive therapy, HIV and an increasing incidence of diabetes are some of the causes that resulted in raising number of immunocompromised individuals, in the global scenario. Opportunistic fungal infections mainly oral candidiasis is common in patients undergoing chemotherapy (CT) or radiotherapy (RT) for Head & Neck tumors. Objectives: Isolation and speciation of Candida with antifungal susceptibility testing in patients undergoing CT and RT for Head and Neck tumors.Methods: Study group comprised of 100 saliva samples collected by oral rinse method, (50 chemotherapy and 50 radiotherapy) from inpatients of King George hospital, Visakhapatnam and 50 normal healthy individuals were taken as control group. Standard mycological tests for the Candida isolation, speciation and antifungal susceptibility were done.Results: In the study group out of the 100 patients, 38% were culture positive for Candida. The most commonly isolated species was C. albicans (60.5%) followed by non albicans species. Most of the candida species showed sensitivity to nystatin, amphotericin B, itraconazole and Ketoconazole. In control group 9 out of 50 samples (18%) were culture positive and all the isolates were Candida albicans.Conclusion: Increase in frequency of oral candidiasis in patients undergoing chemotherapy and radiotherapy was observed. The increase in positivity may be attributed to inadequate nutritional status and poor oral hygiene during chemotherapy and radiotherapy. Culture positivity is more in RT patients than in CT patients. Though C. albicans is the predominant isolate, non albicans species are also emerging. All the Candida species isolated from study group were sensitive to nystatin, amphotericin B, itraconazole and ketoconazole. In the study group all the Candida species were resistant to clotrimazole and fluconazole and in the control group all the C. albicans were sensitive to fluconazole.  

A CNN and LSTM-based Model for Creating Captions for Photos

Can a machine interpret an image's meaning with the same speed as the human brain when it is seen? This problem was heavily researched by computer vision specialists, who believed it to be unsolvable until recently. It is now possible to develop models that can generate captions for pictures because of advancements in deep learning techniques, accessibility to large datasets, and processing power. This will be accomplished by the Python-based implementation of the article's deep learning convolutional neural network technique and a particular kind of recurrent neural network. Here the proposed model uses CNN and LSTM methods to achieve desired tas