A fluidic liquid level control system

The prime objective of this investigation was to design and construct a working Fluidic liquid level control system , and to make a functional study of the characteristics of the devices employed therein. A working model of a fluidic liquid level control system is developed and experimental data is collected to describe the functional characteristics of the fluidic circuits employed. The system contains a pressure sensitive, variable frequency oscillator; appropriate demodulation stages to convert the variable frequency alternating signal into a varying non-alternating signal; and on-off control elements in the final stages --Abstract, page ii

Pre-Trusted Peers Probability Influence on Eigen Trust and Reputation Model Over Peer to Peer Distributed Networks

This paper investigates the impact of peer pre-trusted probability on the performance of Eigen's trust and reputation model in distributed wireless networks. Design and develop models for rigorous Eigen Trust assessment and reputation models. In addition, we evaluate our model from performance-based factors namely: accuracy, resource utilization and energy consumption. Finally, the results obtained from our investigation are suggestive of implementation for real-time distributed wireless applications. our proposal

Cloud Computing Systems Exploration over Workload Prediction Factor in Distributed Applications

This paper highlights the different techniques of workload prediction in cloud computing. Cloud computing resources have a special kind of arrangement in which resources are made available on demand to the customers. Today, most of the organizations are using cloud computing that results in reduction of the operational cost. Cloud computing also reduces the overhead of any organization due to implementation of many hardware and software platforms. These services are being provided by cloud provider on the basis of pay per use. There are lots of cloud service providers in the modern era. In this competitive era, every cloud provider works to provide better services to the customer. To fulfill the customer?s requirements, dynamic provisioning can serve the purpose in cloud system where resources can be released and allocated on later stage as per needs. That?s why resource scaling becomes a great challenge for the cloud providers. There are many approaches to scale the number of instances of any resource. Two main approaches namely: proactive and reactive are used in cloud systems. Reactive approach reacts at later stage while proactive approach predicts resources in advance. Cloud provider needs to predict the number of resources in advance that an application is intended to use. Historical data and patterns can be used for the workload prediction. The benefit of the proactive approach lies in advance number of instances of a resource available for the future use. This results in improved performance for the cloud systems

IDENTIFICATION OF INHIBITORS OF DENGUE VIRUS (DENV1, DENV2 AND DENV3) NS2B/ NS3 SERINE PROTEASE: A MOLICULAR DOCKING AND SIMULATION APPROACH

 Dengue is one of the fatal diseases, which are becoming a global health burden from few decades. Dengue fever, dengue hemorrhagic fever anddengue shock syndrome, caused by dengue virus (DENV), which completes its life cycle in mosquito i.e. Aedes aegyti, and human (DENV), and infectabout various individuals every year. The objective of this study is to find a potent inhibitor of DENV (DENV1, DENV2 and DENV3). In the presentstudy, NS2b/NS3 serine protease complex in targeted for the screening of the suitable inhibitors for DENV (DENV1, DENV2 and DENV 3). Therefore,the NS2b/NS3 serine protease complex structures were retrieved from the RCSB Protein Databank. The unliganded protein structures were docked,and best three selected and analyzed. A molecular dynamic simulation is also performed to investigate the conformational and positional changesof ligand that provide insights into the binding stability. It was observed that three of screened compounds have the maximum potential against theprotein. The analysis was performed on the basis of scoring and binding ability and one of them indicated minimum energy score with high numberof interactions with active site residues and the simulation study revealed that this selected ligand could efficiently bind to the NS2b/NS3 protease.These findings conclude that this selected ligand could be a promising inhibitor of all three serotypes of DENV as drug targets.Keywords: Dengue virus, Aedes aegyti, Flaviviridae, Serine protease, Docking

Pattern, Management, and Outcome of Poisoning in a Tertiary Care Hospital

Introduction: Poisoning is a significant global public health problem. The appropriate management of poisoning at emergency needs accurate assessment and immediate treatment. The immense chance for better outcomes occurs with early diagnosis and treatment. This study was conducted to assess pattern, management, and outcome of poisoning in tertiary care hospital. Methods: An observational cross-sectional study was conducted in which records of patients with a diagnosis of poisoning over a period of four years were reviewed. Results: A total of 138 patients were included in the study. A majority (63%) of them were females. Most (67.4%) were managed by general or supportive measure only. Gastric lavage was done in 60% of total patients while 52.9% patients received activated charcoal. Pralidoxime and atropine was received by 51.1% of patients treated with specific antidote. All the antidotes were administered through intravenous route. Regarding outcome, 89.9% were completely recovered. Suicidal poisoning was significantly higher in married as compared to unmarried patients (p = 0.029). Similarly, there was a significant relationship between occupation of the patients and manner of poisoning (p = 0.003). Outcome of treatment had a significant association with the manner of poisoning (p < 0.001). Further analysis revealed that the patients who expired in the hospital were more likely to ingest poison accidentally. Conclusion: Suicidal poisoning is common and females are more susceptible. Insecticide and rodenticide are the commonly ingested poisons. Treatment outcome of poisoning cases is generally favorable

Examining the role of Duration of illness on the level of mental disability in Obsessive Compulsive Disorder

Recent literature considers duration of illness (DI) and duration of untreatedillness (DUI) as important factors influencing outcome in many psychiatric conditions. The aimof the present article is to analyze the relationship between DI and DUI, and pharmacologicalresponse in the different psychiatric disorders with particular emphasis on neurodegenerativeaspects. An updated review of the current literature was conducted through PubMed in orderto compare different studies focused on DI and DUI, and treatment response in major psychosesand in depressive/anxiety disorders. A significant body of evidence shows that a prolongedDI and DUI is associated with brain abnormalities and poor treatment response, particularly inschizophrenia. Nevertheless, an increasing number of studies point toward a similar conclusionin mood and anxiety disorders as well, even though fewer studies have been published in thisfield. The present study was undertaken to assess and compare the disability in patients with obsessive compulsive disorder (OCD) using Indian Disability Evaluation Assessment Scale (IDEAS). Results indicated Significant disabilityin work and global score was seen in patients of obsessive-compulsive disorder with duration of illness >5 yr. it was concluded that these illnesses affect all areas of daily functioning leading to greaterdisability, and thus increasing the burden on the family, pose greater challenge for therehabilitation of patients and their inclusion in the mainstream of the family and society. Furtherstudies on a larger sample need to be done to confirm the finding. Keywords: obsessive-compulsive disorder, Indian Disability Evaluation Assessment Scale, duration of illness, disability

Significant perceived stressors in irritable bowel syndrome: a stress interventional module analysed

Background: Psychological stress is an important factor for the development of irritable bowel syndrome (IBS). More and more clinical and experimental evidences are showing that IBS is a combination of irritable bowel and irritable brain. As IBS is a stress sensitive disorder, its treatment should focus on managing stress and stress-induced responses.Methods: This is a hospital based longitudinal study. 72 patients fulfilling the Rome IV criteria for irritable bowel syndrome were enrolled into the study. Perceived stress was assessed using student stress dimension questionnaire (SSDQ) while IBS severity was assessed using IBS severity scoring system (IBS-SSS). The stress interventional module (SIM) consist of specific domain targeted psychological interventions given to the patients weekly based on the stress domain mapping. The effectiveness of these interventions on reducing stress as well as IBS severity was assessed at baseline, and weeks 2, 4 and 6 follow-ups.Results: Of the studied IBS patients, most had SPS in multiple life domains while familial and interpersonal domains were affected in 78%. Also, total stress load in form of mean cumulative stress load at baseline was 451.1 which decreased significantly to 274.4 over 6 weeks. This SIM brought about a reduction in mean irritable bowel syndrome severity score from 27.5 to 20.6 in 6 weeks. This reduction in IBS severity score overtime was significant (p=0.001).Conclusions: Patients of irritable bowel syndrome show significant stress in multiple domains of life, which require proper assessment and management. Authors propose that individual-specific interventions aimed at reducing stress in all psychosocial life domains are efficacious and should be an integral part of managing IBS

Screening and evaluation of phenol utilization and growth in Acinetobacter baumannii W29 of wastewater

Phenols are ubiquitous pollutants, mainly from industrial effluent, causing pollution of natural water resources. The research focused on screening efficient phenol-degrading bacteria and kinetic modelling of phenol biodegradation and growth. Membrane filtration was used for the isolation of bacteria from the wastewater sample. The screening of phenol-degrading bacteria was based on the efficiency of phenol utilization. The strain with efficient phenol degradation capacity was  characterized by 16S rDNA sequencing and designated Acinetobacter baumannii W29. Biomass growth and phenol utilization rate of the strain were evaluated at different initial phenol concentrations (100-800 mgL-1). Specific growth rate data were fitted to five models, i.e. Monod, Haldane, Aiba, Teisser, and Webb model. The yield coefficient at different initial phenol concentrations was calculated from the slope of the specific growth rate (μ) versus the specific phenol utilization rate (q). The strain showed complete phenol degradation potential up to 1000 mgL-1. The maximal growth rate was achieved at 400 mgL-1  , which coincided with the maximum substrate utilization rate at the same concentration. The specific growth rate showed the best fit with the Haldane model. The strain had a yield coefficient of 0.70 (mg cell mg-1 phenol). The value of µ and Ks revealed the affinity of the strain for high-concentration phenol and the its ability to withstand high phenol concentrations. The kinetic growth behaviour of the strain fitted well with the Haldane model. The findings of the study could be applied to wastewater treatment with a high phenol load

Studies on variability, heritability and genetic advance for yield and yield contributing characters in french bean (Phaseolus vulgaris L.) germplasm under tarai region of Uttarakhand

Seventy four French bean germplasms were evaluated for twenty two quantitative traits to study the genetic variability, heritability and genetic advance during Jan-Feb in G.B. Pant University of Agriculture and Technology, Pantnagar. Significant differences were observed among all genotypes. Higher genotypic and phenotypic coefficient of variability were observed for plant height, seed yield per plant, pod yield per plant, pod yield per hectare, number of pods per cluster, number of pods per plant and 100 seed weight (42.45% and 43.30%, 39.72% and 42.34%, 27.59% and 32.12%, 27.59% and 32.12%, 25.01% and 28.14%, 24.56% and 26.76% and 22.65% and 22.96% respectively). High heritability coupled with high genetic advance over mean were observed for plant height, seed yield per plant, pod yield per plant, pod yield per hectare, number of pods per plant, 100 seed weight, number of pods per cluster, leaf length, single pod weight, pod diameter, pod length, number of pod clusters per plant, leaf width, seed length, number of seeds per pod and seed width (96.34% and 85.73%, 88.03% and 76.77%, 73.80% and 48.83%, 73.80% and 48.83%, 84.20% and 46.42%, 97.34% and 46.04%, 45.78% and 78.96%, 38.88% and 89.58%, 38.21% and 92.70%, 92.69% and 35.45%, 90.13% and 34.48%, 32.47% and 79.39%, 28.03% and 79.60%, 26.92% and 99.04%, 56.27% and 24.85%, and 97.82% and 24.01% respectively) indicate predominance additive gene action. Thus, there is ample scope for improving these characters through direct selection

Performance Assessment of Pre-processing Filters for Infrared Search and Track Applications

To enhance detection probability and to reduce false alarms, infrared imagery is pre-processed before subjecting it to detection algorithms in infrared search and track systems. Pre-processing algorithms are used to predict the complex background and then to subtract the predicted background from the original image. The difference image is passed to the detection algorithm to further distinguish between the target and the background and/ or noise more accurately. A number of pre-processing algorithms have been reported in literature, with their relative advantages and disadvantages. This paper brings out the computational complexities and simulation results of various algorithms for assessing their relative performances. Based on these parameters, statistical algorithms in general and max-min algorithms in particular, are recommended to be used for infrared search and track systems.Defence Science Journal, 2011, 61(3), pp.251-256, DOI:http://dx.doi.org/10.14429/dsj.61.6