Presentació

an early differentiated state: a preliminary repor

Simulation of a high voltage gain dc-dc converter integrating with coupled inductor and two voltage multiplier cells

In this paper, a high voltage gain dc-dc converter is presented for renewable energy applications. This paper develops step up converter which consists of two voltage multiplier cells with coupled inductor in order to achieve the multiple voltage requirements with high voltage gain. And also two capacitances are provided for charging when the device is under turned-off condition, by utilizing the stored energy levels in the coupled inductor which can enhances the voltage transfer capability levels of the system The voltage imbalance levels are compensated at main power switch. The implemented model operates with low resistance RDS(ON) at main power switch which can reduce the switching losses. The developed simulink models are tested and verified within the MATLAB/SIMULINK with multiple output functions with high voltage gains

Patterning Defects in Silkworm Embryos Analysed through Cuticle Preparations

The mulberry silkworm, Bombyx mori, a holometabolous lepidopteran insect, has a metameric body plan. Due to its functional adaptation, B. mori presents some unique deviations in its pal/ern from the evolutionarily advanced dipteran insect, Drosophila melanogaster. Previous studies on mutant phenotype analysis in B. mori have been carried out in late stages of larval development. Here we employ, the cuticle preparation approach during embryonic development to study morphological landmarks associated with B. mori, Eri, another race a/silkworm, and pattern defects associated with Ekp mutant of B.mori. The homeotic mutant Ekp, generates ectopic abdominallegs, a feature previously documented only during larval development. Using cuticle preparation approach the patterning defects of extra abdominal legs of Ekp mutation could be detected as early as 7.5-day-old embryo. This approach can be exploited to study patterning defects in B. mori mutants affecting early development

Hysterectomy for benign conditions in a tertiary care centre: a clinical audit

Background: This clinical audit is to determine the indications, type, and outcome of hysterectomy performed for benign gynaecological conditions in two years and to identify the problem or issue (if any) in planning the hysterectomy for benign conditions.Methods: The present study is a hospital-based prospective study conducted in the Department of Obstetrics and Gynaecology, Narayana Medical College and Hospital, a tertiary care centre, Nellore, AP. Six hundred women, who underwent the hysterectomy during the study period are recruited into this study after obtaining hospital ethical committee approval and informed consent. Among the total of 50,450 women attended our OPD for gynaecological complaints, 600 patients underwent the hysterectomy. Thus 9.6% of total gynaecological admissions ended up with the hysterectomy.Results: The mean age group of the study is 49.07±8.0 years. Majority of women belonged to low socio-economic status. Predominant age group underwent hysterectomy was 40-49 years. Majority (78.2%; 469 cases) of hysterectomies were done in multiparous women. Chief complaints were menstrual irregularities. Abnormal uterine bleeding -leomyoma (AUB-L) (228 cases; 38%) was the most common indication for hysterectomy. Most commonly done procedure was total abdominal hysterectomy TAH (60.5%; 363 cases). 306 cases (51%) had oophorectomy  (beyond the age of 45 years).The various complications (hemorrhage, sepsis etc..) found to happen mainly in hysterectomies done through abdominal route. 95% of hysterectomised histopathological specimen’s histopathology reports correlated with the pre-operative biopsy reports.Conclusions: In proved benign conditions, women were counselled and encouraged for medical and conservative methods. Hysterectomies should be decided in those situations where the above measures fail and also where it was found to be the definitive management in the first instance. Woman’s option has also to be considered in certain cases. The route of hysterectomy has to be decided case to case basis and choice of the attending clinician. Oophorectomy was decided in the premenopausal women depending on the condition of the ovaries witnessed at the time of surgery

STATISTICAL OPTIMIZATION AND EVALUATION OF ETHOSOMAL MICONAZOLE NITRATE SUSPENSION

Objective: The objectives of the present study were to optimize and evaluate the ethosomal suspension of miconazole nitrate for the treatment of local and systemic fungal infections. Methods: Miconazole topical formulation is prepared for better patient compliance and to reduce the dose of a drug. Miconazole nitrate ethosomes were prepared by the cold method using factorial designing with Ethanol(X1), IPA(Isopropyl alcohol)(X2), and Lecithin(X3) as Independent variables and % EE(Entrapment efficiency)(Y1) and % DR(drug release at 8th h)(Y2) was selected as responses. Results: The results obtained in the design showed that there was no significant interaction among factors. The lecithin concentration had a positive response on % EE, while ethanol concentration and IPA had a positive effect. For % DR, Ethanol, and IPA showed a positive effect and Lecithin had a negative response. The formulation EM22 (3 ml X1,3 ml X2 and 300 mg of X3) characterized by high % EE(77.3 %) and optimum % DR(94.2%) and formulation EM6 (2 ml X1,2 ml X2 and 100 mg of X3) characterized by high % DR(97.32 %) and optimum % EE (74.8 %). EM22 was incorporated in the gel as it is showing more entrapment efficiency and compared with the marketed product for drug release. Conclusion: From the result, it was concluded that formulated ethosomal suspension and optimized gel have more drug release than marketed formulation so that formulated suspension can be used for the preparation of antifungal gels, creams, ointments for sustained release

Simulation on probabilistic anti collision protocols of RFID using variable delay

In RFID System, it is important to avoid tag collision for identifying tag faster. In this paper, we proposed concept of variable delay for tag estimation & identification. The scheme is based on the Multi-level dynamic framed ALOHA protocol. Simulation results indicate that the time delay is added to each tag for avoiding collision. The main advantage of this is the delay is in microseconds which will not create problem of more time consumption

Implementation of Leaky Bucket with deep learning Algorithm to Avoid Congestion in DEC Protocol in medical applications

A wireless sensor network is a critical component in many disciplines. There are a large number of sensor nodes in it. These sensor nodes perform various tasks, including identifying, dispensing, communicating, and providing power. Data is sent from source to destination and plays an important role. Congestion will occur during data transfer =0>0from one node to another and in the cluster head. Congestion will emerge as a result of either traffic division or resource allocation. Energy will be wasted due to traffic division congestion, which results in packet loss and retransmission of deleted packets. As a result, it must condense. Congestion management will be handled by a few wireless sensor networks using various protocols. Deterministic Energy Efficient Clustering (DEC) protocol is considered to reduce energy consumption based on residual energy in which the leaky bucket algorithm is cast-off. In the event of congestion, our plan outlines a strategy for dealing with and resolving it using this manner. According to simulation testing, the suggested approach may significantly improve longevity, energy, throughput, and packet loss