An Efficient Classification Model using Fuzzy Rough Set Theory and Random Weight Neural Network

In the area of fuzzy rough set theory (FRST), researchers have gained much interest in handling the high-dimensional data. Rough set theory (RST) is one of the important tools used to pre-process the data and helps to obtain a better predictive model, but in RST, the process of discretization may loss useful information. Therefore, fuzzy rough set theory contributes well with the real-valued data. In this paper, an efficient technique is presented based on Fuzzy rough set theory (FRST) to pre-process the large-scale data sets to increase the efficacy of the predictive model. Therefore, a fuzzy rough set-based feature selection (FRSFS) technique is associated with a Random weight neural network (RWNN) classifier to obtain the better generalization ability. Results on different dataset show that the proposed technique performs well and provides better speed and accuracy when compared by associating FRSFS with other machine learning classifiers (i.e., KNN, Naive Bayes, SVM, decision tree and backpropagation neural network)

Simulation based topology optimization assessment with manufacturing constraints

In Automotive and Aerospace industries, Topology Optimization (TO) is being used for the last few decades to produce lightweight structures. On the other hand, TO produces very complex geometrical features (i.e. irregular shape and hidden cavities along the thickness) that is sometimes difficult to be manufactured even with Additive Manufacturing (AM) and Casting techniques. In this paper suitable design and manufacturing constraint (MC) are applied during TO process that act as an Optimization Tool (OT) and improves geometrical features of the mechanical structures for easy manufacturing. Three mechanical structures with different geometries and boundary conditions have been considered for analysis purpose. Topology Optimization based on linear static analysis has been performed using OptiStruct (HyperWorks) solver. Finally, results of analysis conclude that the proposed OT produces lightweight structures with very simple geometries that can easily be manufactured with the help of AM or Casting techniques

Profitability as the Determinant of Soft Environmental Disclosures

The profitability has been studied as the determinant of soft environmental disclosures (SED) first time in Pakistan. The Cement, Steel and Power generation sectors of Pakistan have been destroying the environment more as compared to other industries. This study finds the results of the sample of three years from 2015-2017. The Quantile regression is applied to find the impact of SED. Now the policymakers can look into the results at different quantiles. The quantile regression has been applied on 0.25 percentile, 0.50 percentile, and 0.75 percentile. The empirical results show that at every quantile the profitability is the significant positive determinant of SED

Profitability as the Determinant of Soft Environmental Disclosures

The profitability has been studied as the determinant of soft environmental disclosures (SED) first time in Pakistan. The Cement, Steel and Power generation sectors of Pakistan have been destroying the environment more as compared to other industries. This study finds the results of the sample of three years from 2015-2017. The Quantile regression is applied to find the impact of SED. Now the policymakers can look into the results at different quantiles. The quantile regression has been applied on 0.25 percentile, 0.50 percentile, and 0.75 percentile. The empirical results show that at every quantile the profitability is the significant positive determinant of SED

Pleural Mesothelioma: Unexpected Finding in a Young Man

Pleural mesothelioma is the disease of the elderly, usually in the seventh decade of life. Asbestos exposure is the most common finding among these patients. Other causes include a simian virus, radiation exposure, genetic predisposition and erionite. Common symptoms include shortness of breath, weight loss, dull achy chest pain on the site of the lesion and anorexia. Pleural effusion is common and video-assisted thoracoscopic (VATS) biopsy is the investigation of choice. pleurectomy, pleuro-pneumonectomy and cisplatin-based therapy are management modalities depending upon the stage of the disease. We are presenting an unusual case of pleural mesothelioma in a young patient with no significant exposure to the causative agent

ARTERY FIRST TECHNIQUE FOR MANAGEMENT OF ABERRANT HEPATIC ARTERIAL ANATOMY DURING PANCREATICODUODENECTOMY-EXPERIENCE FROM A SPECIALIZED HEPATO-PANCREATO-BILIARY UNIT

Purpose: Aberrant hepatic arterial anatomy poses a challenge for surgeon during pancreaticoduodenectomy (PD). These anomalies are best picked up on pre-operative imaging to avoid inadvertent injury to the aberrant vasculature resulting in liver ischaemia or biliary-enteric anastomotic failure. We present our experience of dealing with aberrant hepatic vessels during PD. Methods: Patients with aberrant hepatic vasculature who underwent PD between September 2014 and August 2015 were included in the study. We used artery rst technique for dissection in cases identified on pre operative imaging. Aberrations were classed according to Hiatt classi cation. Results: A total of 23 PD were performed with aberrant arterial anatomy in 10 (43%) cases. These vessels were recognised and preserved in nine cases. In one patient, the replaced right hepatic artery (RRHA) arising from superior mesenteric artery (SMA) was coursing through pancreatic parenchyma needing resection and reconstruction with uneventful post-operative recovery. We also identified one RRHA arising from SMA coursing lateral to common bile duct and entering liver parenchyma in gallbladder fossa. Conclusion: Aberrant hepatic arterial anomalies are common and should ideally be picked up by pre-operative imaging. It is possible to preserve these vessels in most cases with careful surgical dissection using artery first technique. Surgeons performing PD should be well versed with the aberrant vascular anatomy to minimise any inadvertent damage. Key words: Aberrant hepatic artery, artery first technique, pancreaticoduodenectomy

Impact of Green Marketing Mix (4Ps) on Firm Performance: Insights from Industrial Sector Peshawar, Pakistan

Abstract Background & Purpose- After the year 2000, the market for environmentally friendly products become mature and substantially expanded. In the present condition, environmental poverty has appeared as a very scorching issue of concern. The alarming level effects of commercial sector on climate and atmosphere have shaped several life threatening worries. To manage with this, it becomes a great challenge for organizations. The current research work is aim to achieve a better understanding of the corporate sector and their adaptation of green strategies in their production and decisions; associated to firm performance. This is an effort to check the belongings of green marketing strategy (GMS) on firm performance.Methodology- The current work was grounded on quantitative technique to test the framed hypotheses. Survey procedure is used to collect the data. 264 respondent were taken into account by applying method of sample determination and allocation. Purposive sampling technique with “five-point Likert scale†was utilized for data assortment. PCA were utilized to measure the unifactoriality. Structure Equation Modeling were used to check the hypothesized relationship b/w the variables.Findings- Findings of the study suggests that green product (GPD), green price (GPC), green promotion (GPM) and green place are absolutely correlated to firm performance with significant P-value <.05.Originality/Value- The current research study can help industrial sector in identifying best solutions for replacing conventional activities used. Limitation & Future Directions- Research study is restricted only to Peshawar, Khyber Pakhtunkhwa, other areas were not in the domain of interest. It is suggested for the forthcoming research to splay the study background across the country. Larger sample size is also recommended. It can provide more faultless data, though the current population and sample size was enough for the justification of the results

A parallel implementation of the Finite-Domain Time-Difference algorithm using MPJ express

This paper presents and evaluates a parallel Java imple-mentation of the Finite-Difference Time-Domain (FDTD) method, which is a widely used numerical technique in computational electrodynamics. The Java version is par-allelized using MPJ Express—a thread-safe messaging li-brary. MPJ Express provides a full implementation of the mpiJava 1.2 API specification. This specification defines a MPI-like binding for the Java language. This paper de-scribes our experiences of implementing the Java version of the FDTD method. Towards the end of this paper, we evaluate and compare the performance of the Java version against its C counterpart on a 32 processing core Linux cluster of eight compute nodes.

Assessment of Students’ Academic Performance in Government Schools of Pakistan

The main purpose of this study was to reduce the gaps in the evaluation of academic performance in Pakistan government schools. This study analyzed the students’ academic performance with respect to social media usage, physical activity, and motivation. A sample of 204 students was selected for studying in different government schools located in Lahore (Pakistan). Both stratified random sampling and simple random sampling techniques were used to draw the sample. This study focused on 9th class and 10th class students who were the respondents of primary data collection. Both correlation and regression analysis were used to analyze the data. The results showed that all the predicted variables were significant and positively correlated with academic performance

Fear of getting Covid-19: A challenge to elective surgical practice and ways to overcome

Background: Covid-19, a global pandemic has a huge impact on surgical practice. There is transmission risk of Covid-19 during the elective surgery and nowadays it is a part of informed consent process. This has an impact on patient decision making as it creates anxiety and fear. Objective: To evaluate patient experience (fear of getting Covid-19) from elective surgery and challenges of elective surgical practice and ways to overcome during this pandemic era. Methods: This study was an observational cross-sectional survey and it has been conducted in General Surgery Department of Dr Akbar Niazi Teaching Hospital, Islamabad, from May to August 2021 after approval of Institutional Review Board (IRB). Participants for elective surgery and their negative report of Covid-19 infection by polymerase chain reaction (PCR) were included in the study. Fear of Covid-19 infection was measured through “fear of Covid-19 scale” by Ahorsu et al and analyzed. All findings were entered in a structured Proforma. Data was entered in SPSS version 26 and analyzed. Effect modifier chi square was used to find out the patient’s dropout due to getting Covid-19 infection from surgery. Results: Total 200 patients were included; 62% patients were male and 38% were females. The mean age of the patients was 38.64±12.08 years. The statistical analysis showed that there was a very significant association between FCV-19 scale and getting Covid-19 infection from elective surgeries (p ≤ 0.05). When stratified FCV-19 scale with education status of all patients there was a very significant association between them (p=0.001). The patient’s observations regarding FCV-19 questionnaire, most of the patients were disagreed (46.3%) to getting Covid-19 infection from their elective surgeries or any fear of Covid-19 infection. The actual dropout of patients from elective surgery due to fear of getting Covid-19 infection during surgery or staying in hospital was 7.5%. Conclusion: Fear of getting Covid-19 is still present in some of the patients who visit hospitals for elective surgeries. Discussing the various steps taken by the institute to improve patient safety and minimize risk of Covid-19, greatly enhanced their confidence in elective surgery and improved satisfaction level. Key words: Covid-19; Fear; Fear of Covid-19 Scale; Elective Surgical Procedures