42 research outputs found
Formulation and evaluation of a polyherbal suspension using popular antioxidant plants from tribal belts of Kandhamal, Odisha
No full textThe possibility of gastrointestinal problems, skin sensitivities, and in certain cases, an elevated risk of cancer, are the main drawbacks of long-term use of contemporary marketed antioxidant formulations. By using well-known antioxidant plants (like Cayratia trifolia, Sesbania grandiflora, Cordia dichotoma, and Teprosia purpurea) from tribal belts of Kandhamal, part of the eastern Ghat mountain range, and fenugreek mucilage as a natural suspending agent; our study seeks to develop and assess an appropriate polyherbal suspension that addresses the aforementioned problem. Eight batches (F1–F8) were made using varying concentrations of propylene glycol and natural suspending agent. Numerous criteria, including rate of flow, volume of accumulation/sediments, acidity/basicity, re-dispersibility, flow, effect of temperature, agglomeration/flocculation degree and viscosity; were examined to assess these suspensions. It was discovered that batches F6 and F7 have antioxidant qualities and were steady during our entire study period. It was noted that the viscosity of our formulation raised with increase in concentration of suspending agents, which decreases sedimentation and increases suspension stability. Folin Ciocalteu\u27s reagent method, which measures the formulation\u27s total phenolic contents, was used to study the antioxidant qualities
Evaluation of Mechanical Properties of Sabai Grass (Eulaliopsis binata) Fibers and Epoxy Resin Composite Laminates Using Fly Ash as Filler Material
No full textThe integration of sabai grass fibers and fly ash in epoxy resin combines the strengths of both materials for developing a tailor-made composite laminate that balances performance, sustainability, and cost-efficiency. This innovative blend of natural fibers and industrial waste promotes environmental conservation. The laminates produced could also be used in diverse industrial and structural applications. This study investigated the mechanical properties of composite laminates reinforced with sabai grass fibers, fly ash filler, and epoxy resin as the matrix. In this work, the hand lay-up method was used to fabricate composites with two stacking configurations ((0°/0°/0°/0°) and (0°/90°/90°/0°)) and filler contents of 1.5 wt.%, 3 wt.%, and 5 wt.%. Various weight fractions of fly ash filler and sabai grass fiber were integrated into the epoxy resin to evaluate their impact on tensile strength, flexural strength, and hardness. The experimental results indicate that adding fly ash significantly improves the composite’s hardness to 27 HV in the composites containing 5 wt.% filler, while sabai grass fibers contribute to enhanced tensile strength and flexural strength. The composites with (0°/0°/0°/0°) fibers and 5 wt.% filler showed a higher tensile strength of 63.5 MPa and flexural strength of 118.5 MPa. The fractured sample was analyzed with the help of FESEM images. The XRD analysis confirmed the presence of fly ash components suitable for forming a bond with epoxy. EDX was conducted to determine the elemental composition of the fly ash. FTIR analysis verified the removal of impurities such as dust, dirt, and lignin from the fiber surface following NaOH treatment
Management of non-communicable diseases in an industrial set up – A cohort study from Odisha, an eastern Indian state
No full textBackground: In the era of non-communicable diseases (NCDs), it is quite important to understand the root-cause and method of management, as NCDs are not curable in most cases. Factory workers are exposed to several risk factors, such as smoke, dust, different harmful chemicals, metals etc. everyday. Their food habit, consumption of tobacco, alcohol etc., stressful responsibilities are other factors those may induce NCDs. Hence, to demark a baseline and reduce the NCD burden gradually, regular medical examination (RME) was planned and this study was conducted to estimate the change in NCD prevalence and risk reduction occurred after a year. Methods: The participants in this study were 602 workers from various departments of a steel plant, located in Dhenkanal, Odisha. Two phases of data were acquired for systolic and diastolic blood pressure, random blood sugar level, body mass index (BMI) and serum cholesterol. Continuous variables were described as mean and standard deviation or median with inter-quartile range, while categorical variables were presented as frequency and percentage. Wilcoxon Signed Ranks test was applied to evaluate the mean difference before and after one year. Results: Most of the participants either improved their health or maintained their health status. Except for serum cholesterol, all other blood parameters (systolic and diastolic blood pressure, blood sugar level) reduced significantly, though BMI increased significantly. Only serum cholesterol increased marginally. Conclusion: The initiative of RME was found to be effective. If continued, RME has the potential to keep employees healthy in a factory setup
Load balancing in cloud computing: A big picture
No full textScheduling or the allocation of user requests (tasks) in the cloud environment is an NP-hard optimization problem. According to the cloud infrastructure and the user requests, the cloud system is assigned with some load (that may be underloaded or overloaded or load is balanced). Situations like underloaded and overloaded cause different system failure concerning the power consumption, execution time, machine failure, etc. Therefore, load balancing is required to overcome all mentioned problems. This load balancing of tasks (those are may be dependent or independent) on virtual machines (VMs) is a significant aspect of task scheduling in clouds. There are various types of loads in the cloud network such as memory load, Computation (CPU) load, network load, etc. Load balancing is the mechanism of detecting overloaded and underloaded nodes and then balance the load among them. Researchers proposed various load balancing approaches in cloud computing to optimize different performance parameters. We have presented a taxonomy for the load balancing algorithms in the cloud. A brief explanation of considered performance parameters in the literature and their effects is presented in this paper. To analyze the performance of heuristic-based algorithms, the simulation is carried out in CloudSim simulator and the results are presented in detail. Keywords: Cloud computing, Energy consumption, Load balancing, Makespan, Virtualization, VM, Task allocatio
Efficiency of depleted UO2 based semiconductor neutron detectors-A Monte Carlo simulation study
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