A Virtual Grid Based Energy Efficient Data Gathering Scheme for Heterogeneous Sensor Networks

Traditional Wireless Sensor Networks (WSNs) generally use static sinks to collect data from the sensor nodes via multiple forwarding. Therefore, network suffers with some problems like long message relay time, bottle neck problem which reduces the performance of the network. Many approaches have been proposed to prevent this problem with the help of mobile sink to collect the data from the sensor nodes, but these approaches still suffer from the buffer overflow problem due to limited memory size of sensor nodes. This paper proposes an energy efficient scheme for data gathering which overcomes the buffer overflow problem. The proposed scheme creates virtual grid structure of heterogeneous nodes. Scheme has been designed for sensor nodes having variable sensing rate. Every node finds out its buffer overflow time and on the basis of this cluster heads are elected. A controlled traversing approach is used by the proposed scheme in order to transmit data to sink. The effectiveness of the proposed scheme is verified by simulation

UROPATHOGENS: ISOLATION AND ANTIBACTERIAL SUSCEPTIBILITY PATTERN

Objective: To find the antibiotic sensitivity pattern of uropathogens. Methods: A total of 100 urine samples of clinically suspected urinary tract infection were collected from May 2016 to July 2016. The samples were inoculated on cystine lactose electrolyte deficient agar and incubated at 37°C for 24 hrs. Results: A total of 77 (77%) samples were positive showing microbial growth. Among all isolates, Escherichia coli was 36.36%, followed by Klebsiella spp. (35.06%), Citrobacter spp. (6.49%), Staphylococcus aureus (6.49%), Pseudomonas spp. (5.19%), Enterococcus faecalis (3.90%), and Acinetobacter spp. (1.30%). For Gram-positive isolates, the most effective antibiotic was nitrofurantoin followed by sulphafurazole. For Gram-negative isolates, the most effective antibiotic was nitrofurantoin followed by gentamicin and piperacillin/tazobactam. Conclusion: In this study, nitrofurantoin was the most effective antibiotic for Gram-positive and Gram-negative uropathogen

A CLINICAL STUDY ON ETIOPATHOGENESIS OF STHAULYA AND ITS MANAGEMENT WITH MEDOHAR COMPOUND

                                                                      ABSTRACTIn the present study total 75 subjects of Sthaulya were registered. Out of which 15 patients left against medical advice. Remaining 60 patients were treated in three therapeutic groups. In-group ‘A' 25 patients treated with Medohar vati in a dose of 1 gm. 3 times a day, with lukewarm water   before meal for 60 days. Whereas in group ‘B' 13 patients were treated with Iesabgol husk in a dose of 15 gm. 2 times a day with lukewarm water before meal for 60 days. While in group ‘C' 22 patients were treated with Navaka Guggulu in a dose of 1 gm 3 times a day with lukewarm water before meal for 60 days. On General Symptom Group A 56.47 %, Group B 58.18 % and in Group C 48.46 % relief was observed. On Associated Symptoms Group A 44.20 %, Group B 47.19 % and in Group C 35.14 % relief was observed. On Weight & BMI Group A 3.39 %, Group B 5.07 % and in Group C 2.28 % relief was observed. On Body Circumference Group A 3.51 %, Group B 2.87 % and in Group C 2.72 % relief was observed. On Skin Fold Thickness Group A 17.16 %, Group B 18.82 % and in Group C 10.63 % relief was observed. On Walking Time & Respiratory Rate Group A 17.13 %, Group B 20.13 % and in Group C 14.84 % relief was observed.If we see the overall effect of all three groups in total average improvement then we found that Group A 23.64 %, Group B 25.38 % and in Group C 19.01 % relief was observed.Key Words- Sthaulya,obesity and Medoroga etc

Machining performance enhancement of EN-31 diesteel using MWCNT mixed rotary EDM

The present study investigates the influence of adding multi-wall carbon nanotube (MWCNT) into the dielectric fluid of electric discharge machining (EDM) in terms of material removal rate (MRR), surface roughness (SR) and surface topology of EN-31 die steel using Cu electrode. A customized rotary electrode set-up has been developed to compare the performance improvement of powder mixed rotary electrical discharge machining (PMREDM) as compared to powder mixed electrical discharge machining (PMEDM) and conventional EDM. The present study attempts to investigate the optimization of process parameters of MWCNT mixed rotary EDM of EN-31 die steel using response surface methodology (RSM) and genetic algorithm (GA) in terms of MRR and SR. The optimization results show that MWCNT mixed rotary EDM shows highest value of MRR (9.72 mm3/min) and lowest value of SR (Ra = 2.03 μm), which are approximately 46.17% higher and 45.43% lower than conventional EDM values respectively. Further, various combinations of optimal values of MRR and SR and their corresponding input parameters setting have been shown in pareto table created by multi-objective optimization GA technique available in MATLAB. Finally, field emission scanning electron microscope (FESEM) analysis of MWCNT mixed rotary EDM and EDM surfaces is carried out which revealsthat MWCNT mixed rotary EDM shows better surface topography as compared to EDM process

Machining performance enhancement of EN-31 diesteel using MWCNT mixed rotary EDM

309-319The present study investigates the influence of adding multi-wall carbon nanotube (MWCNT) into the dielectric fluid of  electric discharge machining (EDM) in terms of material removal rate (MRR), surface roughness (SR) and surface topology of EN-31 die steel using Cu electrode. A customized rotary electrode set-up has been developed to compare the performance improvement of powder mixed rotary electrical discharge machining (PMREDM) as compared to powder mixed electrical discharge machining (PMEDM) and conventional EDM. The present study attempts to investigate the optimization of process parameters of MWCNT mixed rotary EDM of EN-31 die steel using response surface methodology (RSM) and genetic algorithm (GA) in terms of MRR and SR. The optimization results show that MWCNT mixed rotary EDM shows highest value of MRR (9.72 mm3/min) and lowest value of SR (Ra = 2.03 µm), which are approximately 46.17% higher and 45.43% lower than conventional EDM values respectively. Further, various combinations of optimal values of MRR and SR and their corresponding input parameters setting have been shown in pareto table created by multi-objective optimization GA technique available in MATLAB. Finally, field emission scanning electron microscope (FESEM) analysis of MWCNT mixed rotary EDM and EDM surfaces is carried out which revealsthat MWCNT mixed rotary EDM shows better surface topography as compared to EDM process

Genomic characterization and epidemiology of an emerging SARS-CoV-2 variant in Delhi, India

Delhi, the national capital of India, experienced multiple severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreaks in 2020 and reached population seropositivity of >50% by 2021. During April 2021, the city became overwhelmed by COVID-19 cases and fatalities, as a new variant, B.1.617.2 (Delta), replaced B.1.1.7 (Alpha). A Bayesian model explains the growth advantage of Delta through a combination of increased transmissibility and reduced sensitivity to immune responses generated against earlier variants (median estimates: 1.5-fold greater transmissibility and 20% reduction in sensitivity). Seropositivity of an employee and family cohort increased from 42% to 87.5% between March and July 2021, with 27% reinfections, as judged by increased antibody concentration after a previous decline. The likely high transmissibility and partial evasion of immunity by the Delta variant contributed to an overwhelming surge in Delhi

Mapping local patterns of childhood overweight and wasting in low- and middle-income countries between 2000 and 2017

A double burden of malnutrition occurs when individuals, household members or communities experience both undernutrition and overweight. Here, we show geospatial estimates of overweight and wasting prevalence among children under 5 years of age in 105 low- and middle-income countries (LMICs) from 2000 to 2017 and aggregate these to policy-relevant administrative units. Wasting decreased overall across LMICs between 2000 and 2017, from 8.4% (62.3 (55.1–70.8) million) to 6.4% (58.3 (47.6–70.7) million), but is predicted to remain above the World Health Organization’s Global Nutrition Target of <5% in over half of LMICs by 2025. Prevalence of overweight increased from 5.2% (30 (22.8–38.5) million) in 2000 to 6.0% (55.5 (44.8–67.9) million) children aged under 5 years in 2017. Areas most affected by double burden of malnutrition were located in Indonesia, Thailand, southeastern China, Botswana, Cameroon and central Nigeria. Our estimates provide a new perspective to researchers, policy makers and public health agencies in their efforts to address this global childhood syndemic

A Virtual Grid Based Energy Efficient Data Gathering Scheme for Heterogeneous Sensor Networks

Traditional Wireless Sensor Networks (WSNs) generally use static sinks to collect data from the sensor nodes via multiple forwarding. Therefore, network suffers with some problems like long message relay time, bottle neck problem which reduces the performance of the network. Many approaches have been proposed to prevent this problem with the help of mobile sink to collect the data from the sensor nodes, but these approaches still suffer from the buffer overflow problem due to limited memory size of sensor nodes. This paper proposes an energy efficient scheme for data gathering which overcomes the buffer overflow problem. The proposed scheme creates virtual grid structure of heterogeneous nodes. Scheme has been designed for sensor nodes having variable sensing rate. Every node finds out its buffer overflow time and on the basis of this cluster heads are elected. A controlled traversing approach is used by the proposed scheme in order to transmit data to sink. The effectiveness of the proposed scheme is verified by simulation

A Virtual Grid Based Energy Efficient Data Gathering Scheme for Heterogeneous Sensor Networks

Traditional Wireless Sensor Networks (WSNs) generally use static sinks to collect data from the sensor nodes via multiple forwarding. Therefore, network suffers with some problems like long message relay time, bottle neck problem which reduces the performance of the network. Many approaches have been proposed to prevent this problem with the help of mobile sink to collect the data from the sensor nodes, but these approaches still suffer from the buffer overflow problem due to limited memory size of sensor nodes. This paper proposes an energy efficient scheme for data gathering which overcomes the buffer overflow problem. The proposed scheme creates virtual grid structure of heterogeneous nodes. Scheme has been designed for sensor nodes having variable sensing rate. Every node finds out its buffer overflow time and on the basis of this cluster heads are elected. A controlled traversing approach is used by the proposed scheme in order to transmit data to sink. The effectiveness of the proposed scheme is verified by simulation