496 research outputs found
Neural network prediction of aluminum-silicon carbide tensile strength from acoustic emission rise angle data
No full textIn this work, the ultimate strength of aluminum/silicon carbide (Al/SiC) composites was predicted by using acoustic emission (AE) parameters through artificial neural network (ANN) analysis. With this aim, a series of fourteen Al/SiC tensile samples were loaded up to the failure to investigate the amplitude distribution of AE events detected during loading. A back propagation ANN was prepared to correlate the amplitude values generated during loading up to 60% of known ultimate strength with ultimate failure strength of the samples. Three individual neural networks generated with parameters like hits, the Felicity ratio and rise angle were trained towards anticipating the ultimate strength value, which was predicted within the worst case error of -3.51 %, -4.73 %, and -2.73 %, respectively. The failure prediction accuracy by using rise angle as input was found to be slightly better, although the three neural networks all proved effective
Neural Network Prediction of Aluminum–Silicon Carbide Tensile Strength from Acoustic Emission Rise Angle Data
No full textIn this work, the ultimate strength of aluminum/silicon carbide (Al/SiC) composites was predicted by using acoustic emission (AE) parameters through artificial neural network (ANN) analysis. With this aim, a series of fourteen Al/SiC tensile samples were loaded up to the failure to investigate the amplitude distribution of AE events detected during loading. A back propagation ANN was prepared to correlate the amplitude values generated during loading up to 60% of known ultimate strength with ultimate failure strength of the samples. Three individual neural networks generated with parameters like hits, the Felicity ratio and rise angle were trained towards anticipating the ultimate strength value, which was predicted within the worst case error of -3.51 %, -4.73 %, and -2.73 %, respectively. The failure prediction accuracy by using rise angle as input was found to be slightly better, although the three neural networks all proved effective
Supplemental Material - A study on development of silicone rubber with conductive carbon, polyaniline, MWCNT composite for EMI shielding
No full textSupplemental Material for A study on development of silicone rubber with conductive carbon, polyaniline, MWCNT composite for EMI shielding by J Jayakanth, K Chennakesavulu, G Ramanjaneya Reddy, S Dhanalakshmi, V Priya, K Sasikumar and T Sasipraba in High Performance Polymers</p
Regression of oxidative stress by targeting eNOS and Nrf2/ARE signaling: a guided drug target for cardiovascular diseases
No full textCardiovascular diseases (CVDs) are the major health concern and the leading cause of death. Imbalance between free radicals and anti-oxidant defence is associated with cellular dysfunctions leading to the pathophysiology of various diseases including cardiac and vascular diseases. The stress responsive transcription factor NF-E2-related factor 2/antioxidant response element (Nrf2/ARE) regulates the expression of many detoxifying genes. Nitric oxide (NO) produced by endothelial nitric oxide synthase (eNOS) is an important regulator of vascular function. Involvement of NO in modulating Nrf2 signaling is well established. Thus, it is apparent that increasing NO bioavailability and antioxidant status in vascular and myocardial tissue can be considered as a potential strategy to prevent the onset of vascular dysfunction and CVDs and is therefore of therapeutical interest. Based on the marked protective effect of Nrf2/ARE signalling and intriguing links between antioxidant mechanism and endothelial derived NO, the aim of the present review is to compile conclusive evidence for the involvement of NO-Nrf2/ARE axis in the regulation of cardiovascular function. This review also discusses on improving eNOS and Nrf2 signalling by Nrf2 activators which holds promise for countering cardiac and vascular disorders
PD-1 derived CA-170 is an oral immune checkpoint inhibitor that exhibits preclinical anti-tumor efficacy
No full textSasikumar et al. describe the identification and characterization of CA-170, a small molecule inhibitor of PD-L1 and VISTA. They find that CA-170 activates T cells and exhibits anti-tumor efficacy in mouse models. This study highlights the potential of CA-170, which has advanced to human clinical trials, as an anti-cancer drug
മുത്തുചിപ്പിയും മുത്തും (Pearl oyster and pearl)
No full textPearl is a valuable and beautiful gift of the sea. The pearl
is formed inside a pearl oyster as a result of secretion of the mantle tissue
ഉപരിതല മത്സ്യങ്ങള് (Pelagic fish)
No full textPelagic fish such as oil sardine, Indian mackerel and
white baits are very popular among the people of Kerala,
especially those living in the coastal belt, since time
immemorial. These fish offen saved them from malnutrition
and starvation. Even today these are the favourite food fish
of the poor and middle class people. In Maharashtra and
Gujarat the popular pelagic fish is the Bombay duck. Pelagic
fish include different varieties of sardines, carangids, seerfish
and tunas of different sizes and taste that we love to include
in our daily meal
Development Software II (mainstream): DEVS 2/0 DEV 2130
No full textExamination on Development Software II (mainstream): DEVS 2/0 DEV 2130, Nov 201
മത്സ്യസംസ്ക്കരണത്തില് ശുചിത്വ പരിപാലനം (Hygeine in fish processing)
No full textThe importance of hygiene in processing of fish is
significant. Lot of care is needed in fish processing particularly
during the time between fishing and processing of fish, because
the quality of the product depends on the care taken during
processing. To retain the colour and taste of fish products, we
have to process the fish immediately after the catch. But it
is not always practical. In such cases, it is essential to minimise
the storage time of raw fish as far as possible
What Constrains Indian Manufacturing?
No full textIndia has undertaken extensive reforms in its manufacturing sector in the last two decades. However, an acceleration of growth in manufacturing, and a concomitant increase in employment, has eluded India. What might be holding the sector back? Using Annual Survey of Industries data at the three-digit level and difference in estimates this paper finds that the post-reform performance of the manufacturing sector is heterogeneous across industries. In particular, industries dependent on infrastructure or external finance, and labour-intensive industries have not been able to reap the maximum benefits of reforms. The results point to the importance of infrastructure development and financial sector development for the manufacturing sectors growth to accelerate further. They also emphasize the need to clearly identify and address the factors inhibiting the growth of labour-intensive industries.De-licensing, external finance dependence, infrastructure intensity, labour intensity, manufacturing, Reforms
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