How to Improve Postgenomic Knowledge Discovery Using Imputation

While microarrays make it feasible to rapidly investigate many complex biological problems, their multistep fabrication has the proclivity for error at every stage. The standard tactic has been to either ignore or regard erroneous gene readings as missing values, though this assumption can exert a major influence upon postgenomic knowledge discovery methods like gene selection and gene regulatory network (GRN) reconstruction. This has been the catalyst for a raft of new flexible imputation algorithms including local least square impute and the recent heuristic collateral missing value imputation, which exploit the biological transactional behaviour of functionally correlated genes to afford accurate missing value estimation. This paper examines the influence of missing value imputation techniques upon postgenomic knowledge inference methods with results for various algorithms consistently corroborating that instead of ignoring missing values, recycling microarray data by flexible and robust imputation can provide substantial performance benefits for subsequent downstream procedures

Design and Development of a Multi-Sided Tabletop Augmented Reality 3D Display Coupled with Remote 3D Imaging Module

This paper proposes a tabletop augmented reality (AR) 3D display paired with a remote 3D image capture setup that can provide three-dimensional AR visualization of remote objects or persons in real-time. The front-side view is presented in stereo-3D format, while the left-side and right-side views are visualized in 2D format. Transparent glass surfaces are used to demonstrate the volumetric 3D augmentation of the captured object. The developed AR display prototype mainly consists of four 40 × 30 cm2 LCD panels, 54% partially reflective glass, an in-house developed housing assembly, and a processing unit. The capture setup consists of four 720p cameras to capture the front-side stereo view and both the left- and right-side views. The real-time remote operation is demonstrated by connecting the display and imaging units through the Internet. Various system characteristics, such as range of viewing angle, stereo crosstalk, polarization perseverance, frame rate, and amount of reflected and transmitted light through partially reflective glass, were examined. The demonstrated system provided 35% optical transparency and less than 4% stereo crosstalk within a viewing angle of ±20 degrees. An average frame rate of 7.5 frames per second was achieved when the resolution per view was 240 × 240 pixels

EFFICACY OF INTRAVENOUS ACETAMINOPHEN VERSUS KETAMINE FOR POSTOPERATIVE PAIN AFTER ABDOMINAL HYSTERECTOMY

Objective; To determine the efficacy of intravenous acetaminophen versus ketamine for postoperative pain after abdominal hysterectomy. Material and Methods; A total of 114 women undergoing abdominal hysterectomy were taken in this study. The study was conducted from June 2017 to May 2018 at department of Anesthesiology, Nishtar Hospital, Multan. Results; Our study comprised of 114 ladies undergoing abdominal hysterectomy, mean age of the study cases was 54.13 ± 6.89 years (with minimum age of the patients was 39 years while maximum age was 68 years). Majority of our study cases i.e. 92 (80.7 %) had parity more than 3 and American Society of Anesthesiology (ASA) score level 1 in 93 (81.6%). Sixty one (53.1%) belonged to rural areas, while mean duration of surgery was 72.80 ± 11.32 minutes. Mean BMI level in our study cases was noted to be 23.98 ±4.17 Kg/m2 and obesity was present in 34 (29.8%) of our study cases. Efficacy was noted in 60 (52.6 %) of our study cases. Efficacy was 73.7% study cases in group A while 18 (31.6%) in group B (p=0.000). Conclusion; Our study results support the use of intravenous acetaminophen (IVA) for pain management in patients undergoing abdominal hysterectomy compared with ketamine. Intravenous acetaminophen is safe, reliable and effective for the pain management in postoperative abdominal hysterectomy patients which was associated with shorter hospital stay and cost effective for the suffering families. No adverse reactions were noted in this study with the use of intravenous acetaminophen. Keywords; Intravenous acetaminophen, Ketamine, Abdominal Hysterectomy.

Neutrosophic Cubic Subalgebras and Neutrosophic Cubic Closed Ideals of B-algebras

The objective of this paper is to introduced the concept of neutrosophic cubic set to subalgebras, ideals and closed ideals of B-algebra. Links among neutrosophic cubic subalgebra with neutrosophic cubic ideals and neutrosophic closed ideals of B-algebras as well as some related properties will be investigated. This study will cover homomorphic images and inverse homomorphic images of neutrosophic cubic subalgebras, ideals and some related properties. The Cartesian product of neutrosophic cubic subalgebras will also be investigated

Digitalization of Academic Libraries in Higher Education Institutions during COVID-19 Pandemic

This paper aimed to examine the digitalization of academic libraries in higher education institutions during the COVID-19 pandemic. As the current pandemic named the COVID-19 outbreak affected all the educational institutions in the global south and global north and Pakistan has no exemption. For this study, a quantitative stud design was opted to conduct an online survey from the library patrons. A sample of 1052 library users had been selected from public sector universities from Pakistan. It is pertinent to mention here that the google form was shared with 6852 library users through an email and WhatsApp numbers taken from universities concerned administration offices. Similarly, descriptive statistics, Pearson correlation, and multiple regression analysis had been employed to draw results and conclusions. The study findings revealed that there was a significant positive correlation between independent and dependent variables. Similarly, the COVID-19 infection, physical distancing, online periodical, online services, and online audio/video material had favorable effects on the digitalization of library material

FREQUENCY OF CAROTID ATHEROSCLEROSIS IN CEREBRAL INFARCTION

Objective: To know the frequency of carotid atherosclerosis in ischaemic stroke patients in our population using color Doppler ultrasound. Methodology: This is an observational study conducted in the department of Medicine Nishtar Hospital, Multan. All the patients admitted during this duration with CT scan proof of stroke were included in the study. Risk factors in all these patients were stratified. Doppler ultrasound was performed on all patients with ischaemic stroke according to the study protocol. Results: A total of 100 patients were included in this study over a period of five months. 66% of these were having cerebral infarction. Hypertension (72%), diabetes (35%), smoking (29%) and obesity (20%) were the common risk factors. The frequency of significant carotid atherosclerosis in acute ischaemic stroke patients was 21%. Conclusion: Carotid atherosclerosis is one of the most important indicators, predictors as well as an independent risk factor in the development of ischaemic stroke. KEY WORDS: Carotid, Atherosclerosis, Doppler ultrasound

Factors Affecting Growth of Women Entrepreneurs in Pakistan

Entrepreneurship plays a significant role in socio-economic growth of a country and is a major concern to both scholars and policy makers. Within entrepreneurial ecosystem, women entrepreneurs are also regarded as new growth engine of socio-economic development. Therefore, based on liberal feminist theory the present study intends to examine those factors that affect the growth of women entrepreneurs in Pakistan. The study adopts qualitative research design and data was collected through semi-structured interviews from sample of fifteen women entrepreneurs, who work behind the veil due to different issues in Rawalpindi, Punjab Pakistan. The interviews were content analyzed. The result of content analysis reveal that socio-cultural, education, experience, personal, and financial factors influence the growth of women entrepreneurs in Pakistan. The findings of this study have clear implications for policy makers in making policies to address women's entrepreneurial issues

Design and Development of a Multi-Sided Tabletop Augmented Reality 3D Display Coupled with Remote 3D Imaging Module

This paper proposes a tabletop augmented reality (AR) 3D display paired with a remote 3D image capture setup that can provide three-dimensional AR visualization of remote objects or persons in real-time. The front-side view is presented in stereo-3D format, while the left-side and right-side views are visualized in 2D format. Transparent glass surfaces are used to demonstrate the volumetric 3D augmentation of the captured object. The developed AR display prototype mainly consists of four 40 × 30 cm2 LCD panels, 54% partially reflective glass, an in-house developed housing assembly, and a processing unit. The capture setup consists of four 720p cameras to capture the front-side stereo view and both the left- and right-side views. The real-time remote operation is demonstrated by connecting the display and imaging units through the Internet. Various system characteristics, such as range of viewing angle, stereo crosstalk, polarization perseverance, frame rate, and amount of reflected and transmitted light through partially reflective glass, were examined. The demonstrated system provided 35% optical transparency and less than 4% stereo crosstalk within a viewing angle of ±20 degrees. An average frame rate of 7.5 frames per second was achieved when the resolution per view was 240 × 240 pixels

Stacked regression ensemble for cancer class prediction

Design of a machine learning algorithm as a robust class predictor for various DNA microarray datasets is a challenging task, as the number of samples are very small as compared to the thousands of genes (feature set). For such datasets, a class prediction model could be very successful in classifying one type of dataset but may fail to perform in a similar fashion for other datasets. This paper presents a stacked regression ensemble (SRE) model for cancer class prediction. Results indicate that SRE has provided performance stability for various microarray datasets. The performance of SRE has been cross validated using the k-fold cross validation method (leave one out) technique for BRCA1, BRCA2 and sporadic classes for ovarian and breast cancer microarray datasets. The paper also presents comparative results of SRE with most commonly used SVM and GRNN. Empirical results confirmed that SRE has demonstrated better performance stability as compared to SVM and GRNN for the classification of assorted cancer data