Crystal structure of 3-{(E)-[(3, 4-dichloro-phenyl)imino]methyl}benzene-1, 2-diol

The authors acknowledge the provision of funds for the purchase of diffractometer and encouragement by Dr.Muhammad Akram Chaudhary, Vice Chancellor, University of Sargodha, Pakistan.Peer reviewedPublisher PD

Gender representation in Pakistani print media- a critical analysis

The key objective of this study was to examine the representations of men and women in print media in Pakistan. Gender role stereotyping and sexism in print media is not a low-profile gender issue as printed communication and contents still hold an important place in contemporary digital world. Keeping in view the importance of newspapers as the leading source of credible content/messages, this paper examined gender stereotyping and sexism in print media in Pakistan and attempted to highlight whether print media reproduces or challenges gender stereotypes and sexism? Keeping in view the complexity of sexism in print media, content and discourse analyses were performed on four widely read national newspapers. The findings have been placed within the socio-cultural context of Pakistani society and feminists theories. The study’s findings indicated that print media in Pakistan reinforces gender stereotypes and provide little challenge to gender stereotyped imagery of males and females

Identification of genomic markers correlated with sensitivity in solid tumors to Dasatinib using sparse principal components

Background: Differential analysis techniques are commonly used to offer scientists a dimension reduction procedure and an interpretable gateway to variable selection, especially when confronting high-dimensional genomic data. Huang et al. used a gene expression profile of breast cancer cell lines to identify genomic markers which are highly correlated with in vitro sensitivity of a drug Dasatinib. They considered three statistical methods to identify differentially expressed genes and finally used the results from the intersection. But the statistical methods that are used in the paper are not sufficient to select the genomic markers. Methods: In this paper we used three alternative statistical methods to select a combined list of genomic markers and compared the genes that were proposed by Huang et al. We then proposed to use sparse principal component analysis (PCA) to identify a final list of genomic markers. The sparse PCA incorporates correlation into account among the genes and helps to draw a successful genomic markers discovery. Results: We present a new and a small set of genomic markers to separate out the groups of patients effectively who are sensitive to the drug Dasatinib. The analysis procedure will also encourage scientists in identifying genomic markers that can help to separate out two groups

Robust vehicle suspension system by converting active and passive control of a vehicle to semi-active control ystem analytically

This research article deals with a simplified translational model of an automotive suspension system which is constructed by considering the translation motion of one wheel of a car. Passive Vehicle Suspension System is converted into Semi Active Vehicle System. Major advantage achieved by this system is that it adjusts the damping of the suspension system without the application of any actuator by using MATLAB® simulations. The semi-active control is found to control the vibration of suspension system very well

Fast robust estimation of prediction error based on resampling

A

Non-Invasive Induction Link Model for Implantable Biomedical Microsystems: Pacemaker to Monitor Arrhythmic Patients in Body Area Networks

In this paper, a non-invasive inductive link model for an Implantable Biomedical Microsystems (IBMs) such as, a pacemaker to monitor Arrhythmic Patients (APs) in Body Area Networks (BANs) is proposed. The model acts as a driving source to keep the batteries charged, inside a device called, pacemaker. The device monitors any drift from natural human heart beats, a condition of arrythmia and also in turn, produces electrical pulses that create forced rhythms that, matches with the original normal heart rhythms. It constantly sends a medical report to the health center to keep the medical personnel aware of the patient's conditions and let them handle any critical condition, before it actually happens. Two equivalent models are compared by carrying the simulations, based on the parameters of voltage gain and link efficiency. Results depict that the series tuned primary and parallel tuned secondary circuit achieves the best results for both the parameters, keeping in view the constraint of coupling co-efficient (k), which should be less than a value \emph{0.45} as, desirable for the safety of body tissues.Comment: IEEE 8th International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA'13), Compiegne, Franc

Perioperative Risk Factors for Postoperative Delirium in Patients Undergoing Esophagectomy

Background Postoperative delirium affects up to 50% of patients undergoing esophagectomy and is associated with negative outcomes. The perioperative risk factors for delirium in this population are not well understood. We conducted this study to assess perioperative risk factors for postoperative delirium among esophagectomy patients. Methods We performed a secondary data analysis of patients enrolled in a randomized controlled trial evaluating the efficacy of haloperidol prophylaxis postoperatively in reducing delirium among esophagectomy patients. Postoperative delirium was assessed twice daily using the Confusion Assessment Method for the ICU. Univariate and logistic regression analyses were performed to examine the association between perioperative variables and development of postoperative delirium. Results Of 84 consecutive esophagectomy patients, 27 (32%) developed postoperative delirium. Patients who developed postoperative delirium had higher APACHE II scores [22.1 (6.5) versus 17.4 (6.8); p=0.003], longer mechanical ventilation days [1.7 (1.4) versus 1.0 (1.1); p=0.001], and longer ICU days [5.1 (2.6) versus 2.6 (1.6); p<0.001]. In a logistic regression model, only ICU length of stay was found to have significant association with postoperative delirium [OR 1.65; 95% CI 1.21-2.25]. Conclusions ICU length of stay was significantly associated with postoperative delirium. Other perioperative factors including duration of surgery, blood loss, and hemoglobin levels were not significantly associated with postoperative delirium