Cohesion Factor Relations for Cubic Equations of State: Soave-Redlich-Kwong Equation of State

Cubic Equations of States (CEOS), a well celebrated tool for predicting phase equilibrium, can be compared based on the accuracy of the prediction of vapor pressure. Accurate vapor pressure prediction is completely dependent on cohesion factor used in CEOS. In the present work, six cohesion function models for Soave Redlich Kwong (SRK) Equations of State (EOS), available in literature have been compared. 313 compounds, compromising of 29 different classes of families, have been selected for the study. The reduced temperatures were studied in three regions; (i) Tr=0.7 and (iii) entire range from freezing point to critical point. It was observed that all the models compared here show the acceptable behavior except model proposed by Soave (Soave, 1992). Some families showed very high deviation in AAD, which can be attributed to more than one factor like polarity, acentricity, and association

Influenza vaccination for immunocompromised patients: systematic review and meta-analysis from a public health policy perspective.

Immunocompromised patients are vulnerable to severe or complicated influenza infection. Vaccination is widely recommended for this group. This systematic review and meta-analysis assesses influenza vaccination for immunocompromised patients in terms of preventing influenza-like illness and laboratory confirmed influenza, serological response and adverse events

Influenza vaccination for immunocompromised patients: summary of a systematic review and meta-analysis

Vaccination of immunocompromised patients is recommended in many national guidelines to protect against severe or complicated influenza infection. However, due to uncertainties over the evidence base, implementation is frequently patchy and dependent on individual clinical discretion. We conducted a systematic review and meta‐analysis to assess the evidence for influenza vaccination in this patient group. Healthcare databases and grey literature were searched and screened for eligibility. Data extraction and assessments of risk of bias were undertaken in duplicate, and results were synthesised narratively and using meta‐analysis where possible. Our data show that whilst the serological response following vaccination of immunocompromised patients is less vigorous than in healthy controls, clinical protection is still meaningful, with only mild variation in adverse events between aetiological groups. Although we encountered significant clinical and statistical heterogeneity in many of our meta‐analyses, we advocate that immunocompromised patients should be targeted for influenza vaccination

Channel capacity of OFDM systems employing diversity in fading environments

This paper derives capacity of a fading channel with orthogonal frequency division multiplexing (OFDM) transmission employing diversity techniques and adaptive policies involving (i) power and rate, (ii) optimal rate and (iii) channel inversion with fixed rate. Two major diversity techniques are considered (i) maximal ratio combining (MRC) and (ii) selective combining (SC). Closed-form expressions and/or bounds on various channel capacity with OFDM transmission under different scenarios are derived. Simulation results are given

BER of OFDM with diversity and pulse shaping in Rayleigh fading environments

This paper derives the bit error rate (BER) of Orthogonal Frequency Division Multiplexing (OFDM) systems with pulse shaping for ICI reduction employing Lth-order maximal ratio combining (MRC) diversity in Rayleigh fading environments. The probability density function of the signal-to-interference ratio per bit γ in the presence of the total average inter-carrier interference (ICI) power PICI is also derived. Simulation results are given and discussed

Down-link throughput with opportunistic feedback, multi-user and diversities in Rayleigh fading environments

This paper studies throughput of wireless systems employing opportunistic feedback, multi-user, selection combining (SC) and maximal ratio combining (MRC) diversities for transmission in Rayleigh fading environments. The first contribution of this paper is the employment of an arbitrary average branch signal-to-noise ratio (SNR) Ωwhich is shown to improve system throughput under specific conditions. The effects of SC and MRC on system throughput are studied with new and detailed throughput expressions for both schemes are derived and validated. Performance comparisons between SC and MRC are also made under several scenarios by varying important parameters. It is also shown that (i) MRC outperforms SC under outage and normal operating conditions as expected, (ii) the proposed system outperforms a well-known system for large values of diversity order Land (iii) for L =1, the proposed system can be correctly reduced to other systems reported in the open literature which validates the current work

Throughput analysis using opportunistic feedback, capture effect and MRT in Nakagami-m fading

The downlink throughput of independent and correlated Nakagami-m fading transmission employing MRT is studied in this paper. Two typical correlation models are considered: (i) equi-correlation and (ii) exponential-correlation. Throughput for independent and identically distributed Nakagami-m fading is also obtained and employed to validate results for the two correlated cases. Compact expressions of the downlink throughput for three separate cases are derived which can be readily implemented in software packages such as MATLAB and Mathematica. Mathematical mistakes in the literature are identified and corrected. Numerical simulation is given for various scenarios