Comparing Optimum Barrier Variables of Aluminium and MPET Foil Based Laminates for Coffee Packaging

The barrier property variables for Aluminum based laminates, both under flexed and unflexed condition, were compared with that of MPET based laminates in order to understand comparative suitability of the later for coffee packaging. Keeping the expected shelf life condition of 180 days the different barrier property variables of the sample MPET and Aluminum based laminates, at the optimality condition, were found out. At the optimum condition, Oxygen transfer rate (OTR) under flexed condition is marginally better for MPET based laminates. However, Aluminium laminates in flexed condition allowing moisture transfer (WVTR) at the rate 24.32 percent stronger than MPET based laminates which may not be good for coffee packaging

Low Frequency Noise Attenuation through Extended Neck Double Degree of Freedom Helmholtz Resonators

The use of acoustic liners, based on double-degree-of-freedom Helmholtz resonators, for low-frequency-noise attenuation is limited by the volume of individual resonating cavities. This study investigates the effect of the septum neck length on the acoustic performance of double-degree-of-freedom resonators, both experimentally and numerically, for varying cavity volume ratios. The underlying sound attenuation mechanism is studied by analysing the acoustic pressure fields within the resonator cavities. An increase in the septum neck is shown to lower the frequencies affected by the resonator. In addition, it deteriorates and significantly improves the sound attenuation performance at the primary and secondary peak transmission-loss frequencies, respectively

An Experimental and Numerical Study on the Effect of Spacing between Two Helmholtz Resonators

This study investigates the acoustic performance of a system of two Helmholtz resonators experimentally and numerically. The distance between the Helmholtz resonators was varied to assess its effect on the acoustic performance of the system quantitatively. Experiments were performed using an impedance tube with two instrumented Helmholtz resonators and several microphones along the impedance tube. The relation between the noise attenuation performance of the system and the distance between two resonators is presented in terms of the transmission loss, transmission coefficient, and change in the sound pressure level along the tube. The underlying mechanisms of the spacing effect are further elaborated by studying pressure and the particle velocity fields in the resonators obtained through finite element analysis. The results showed that there might exist an optimum resonators spacing for achieving maximum transmission loss. However, the maximum transmission loss is not accompanied by the broadest bandwidth of attenuation. The pressure field and the sound pressure level spectra of the pressure field inside the resonators showed that the maximum transmission loss is achieved when the resonators are spaced half wavelength of the associated resonance frequency wavelength and resonate in-phase. To achieve sound attenuation over a broad frequency bandwidth, a resonator spacing of a quarter of the wavelength is required, in which case the two resonators operate out-of-phase

"When and Where?": Behavior Dominant Location Forecasting with Micro-blog Streams

The proliferation of smartphones and wearable devices has increased the availability of large amounts of geospatial streams to provide significant automated discovery of knowledge in pervasive environments, but most prominent information related to altering interests have not yet adequately capitalized. In this paper, we provide a novel algorithm to exploit the dynamic fluctuations in user's point-of-interest while forecasting the future place of visit with fine granularity. Our proposed algorithm is based on the dynamic formation of collective personality communities using different languages, opinions, geographical and temporal distributions for finding out optimized equivalent content. We performed extensive empirical experiments involving, real-time streams derived from 0.6 million stream tuples of micro-blog comprising 1945 social person fusion with graph algorithm and feed-forward neural network model as a predictive classification model. Lastly, The framework achieves 62.10% mean average precision on 1,20,000 embeddings on unlabeled users and surprisingly 85.92% increment on the state-of-the-art approach.Comment: Accepted as a full paper in the 2nd International Workshop on Social Computing co-located with ICDM, 2018 Singapor

Inflation Expectation Decision and Saving Decision in Heterogeneously Endowed Overlapping Generation Model: An Experimental Evidence from Laboratory

In this paper we use a heterogeneously endowed Overlapping Generation model (OLG) in an experimental framework. . In our experimental OLG economy young subjects are asked either to predict the inflation rate for the next period or to decide his/her savings for the current period. We find that for both the decisions neither higher amount of government expenditure nor the higher amount of money supply by monetary authority will move inflation rate towards equilibrium. We also find that that if there is much uncertainty, Friedman Conjecture will not work

Inflation Expectation Decision and Saving Decision in Heterogeneously Endowed Overlapping Generation Model: An Experimental Evidence from Laboratory

In this paper we use a heterogeneously endowed Overlapping Generation model (OLG) in an experimental framework. . In our experimental OLG economy young subjects are asked either to predict the inflation rate for the next period or to decide his/her savings for the current period. We find that for both the decisions neither higher amount of government expenditure nor the higher amount of money supply by monetary authority will move inflation rate towards equilibrium. We also find that that if there is much uncertainty, Friedman Conjecture will not work

An empirical analysis of Delhi's air quality throughout different COVID-19 pandemic waves

Delhi was one of India's COVID-19 hotspots, with significant death rates during the year 2021. This study looked at the link between COVID-19 cases in Delhi, and key meteorological variables. The study found that COVID-19 cases during the second wave (P2-March- May 2021) were much higher than during the first wave (P1-Jan-Feb 2021) in Delhi. During P1 (Jan-Feb 2021) the mean PM2.5, PM10, NO2 and CO concentrations were greater than that of P2 (March-May 2021) while the reverse happened for SO2 and O3.  Spearman correlation test indicated that COVID-19 cases maintained a significant positive correlation with the high temperature of P2 (March-May 2021) and high humidity of P1 (Jan-Feb 2021) in line with the accepted notion that COVID-19 transmitted favourably in hot and humid climates.  The Multilayer perceptron (MLP) model indicated that COVID-19 spread was supported by air pollutants and climate variables like PM2.5, NO2, RH, and WS in P1(Jan-Feb 2021) and PM2.5 and O3 in P2 (March-May 2021).  Owing to chemical coupling, across all six monitoring stations, O3 maintained an inverse relationship with NO2 throughout the COVID-19 phases in Delhi.  The city dwellers had health risks also due to PM pollution at varying degrees, indicated by high hazard quotients (HQs), requiring lowering of air pollution concentrations on an urgent basis

Post COVID-19 Symptoms: A Neglected Domain

Background: COVID -19 is the most important public health problem of recent time. Most people who have COVID-19 recovers completely within a few weeks but some people continue to have symptoms after initial recovery. Objective: To assess the prevalence of Post COVID symptoms, to assess requirement of treatment and to make recommendation for Post COVID care. Methods: Present cross sectional study was done among patients who recovered from COVID-19 in Meerut district. Mobile numbers of COVID patients were obtained from records, Total 100 randomly selected patients were contacted using google form and information regarding post covid symptoms in between 6 weeks to 12 weeks after recovery from COVID was obtained. Result: 87%patients developed one or more post covid symptoms. Weakness was reported to be most common problem (55%), followed by body ache (26%) and neuropsychiatric symptoms such as difficulty in concentration and insomnia (22%). Every fifth patient reported that symptoms persisted for more than 1 month. Though most of the respondents classified their symptoms as mild and moderate (52.5% and 37.9% respectively), 47% of the symptomatic patients have to take some treatment for these symptoms. Conclusion: Post COVID symptoms are common but usually less severe . Some form of treatment was required to deal with problem. Almost one in five patients reported that symptoms persisted for more than one month. The results highlight the need for post Covid care for COVID recovered patients

Kikuchi Fujimoto lymphadenitis- an uncommon entity in the surgical outpatients: a case report

Kikuchi Fujimoto lymphadenitis is a benign self-limiting disease with subacute necrotizing lymphadenopathy of unknown cause. The clinical, histopathological and immunohistochemical features point to viral etiology hence delaying diagnosis commonly. Clinicians and pathologists awareness of this disorder may prevent misdiagnosis and inappropriate treatment. We describe here a case of a young woman admitted under our care with fever and cervical lymphadenopathy. Cervical lymph node biopsy revealed the rare clinical disorder of Kikuchi Fujimoto lymphadenitis which is not thought of as a primary cause of lymphadenopathy in the Indian subcontinent where tuberculosis is widely prevalent