Virtual Studies - Academic Revolution of COVID-19: A Case Study of Department of Anthropology, University of Arid Agriculture, Rawalpindi

The pandemic of Covid-19 has indeed affected the overall modern lifestyle globally. The lockdown leads to the closure of educational institutes around the world. The situation is not different in twin cities (Rawalpindi and Islamabad). The present research was designed to collect the opinions and perceptions of students regarding virtual learning. Department of Anthropology offers Facebook online classes for its students combined with the University's central learning management system (LMS) to provide an online platform for sharing course material(s). 64 students of Anthropology participated in this study voluntarily. Google form was designed and shared with the students through Google link for the collection of data on certain indicators such as class, location of the respondent, internet access and related technological issues, comprehension of LMS, etc. The shift towards virtual studies has revolutionized and also created certain operational challenges.

Semantic Network Differences Across Engineering Design Communication Methods

Engineering designers have a variety of methods at their disposal when it comes to communicating an idea (e.g., Linguistic, Pictorial, Virtual). Studies have explored how these methods affect the idea generation process, revealing that some methods can induce design fixation and reduce creativity. Moreover, studies reveal that depending on the communication methods and a receiver’s familiarity with the idea conveyed, the amount of relevant information transmitted could vary. Hence, based on previous studies, it is hypothesized that different communication methods and a receiver’s familiarity can impact a receiver’s ability to construct and interpret the information conveyed. To test this hypothesis, an experiment is conducted in which multiple methods are used to communicate different product ideas to individuals (N = 370). Participants are asked to describe the products in their own words and provide details about their functions. A text-mining approach is used to analyze the semantic structure of their responses. The results reveal that dissemination methods affect the consistency of participants’ responses, as well as the diversity of words used to describe a product idea or its functions. This knowledge can help designers in the selection of an appropriate method, given the design intention and help them leverage different methods to maximize communication effectiveness during the different stages of the design process.

Experimental and Virtual Studies in Mechanical Applications of PP-RCT Pipes with Armored Materials

The new generation of newly developed materials, namely the high-crystallinity and high temperature polypropylene random copolymer, called PP-RCT, increases the crystalline capability of polypropylene, which allows pipes produced from this material to operate at higher pressures at elevated temperatures. Pressure tests on pipes made of PP-RCT materials show a resistance over a period of 50 years at 7000C (1580 F) 5 MPa (725 psi) compared with 3.2 MPa (464 psi) for standard materials PPR. By reinforcing PP-RCT with aluminum, glass and basalt composite results in a more resistant structure. As a result of the traction tests, it was found that in all three samples the tensile strength exceeds the manufacturer s limit (10 - 12.7 MPa), the values obtained being: st1 = 8 MPa - sample no. 1; st2 = 13 MPa - sample no. 2; st1 = 11 MPa - sample no. 3. The fiber glass insert is less resistant, the best variant being the basal insect sample (st2 = 13 MPa). Elongation at break for specimen no. 3 was recorded at 0.027 mm / mm. Tests on these material combinations were performed for stretching and flexing requests and compared to 3D created virtual models. Simulations of internal pressure behavior were also performed for different material configurations and the results were compared with the experimental data and the data supplied by the manufacturers.

High Speed Impact Virtual Studies Made on Projectiles Models for Designing Shields Based on Innovative Materials

This paper presents two virtual devices made to determine the behavior of the bullet before, during impact and after the collision using different materials. First device was based on a pendulum and second was made with springs. The idea of making these virtual devices was to transform the kinetic energy of the projectile before the collision in a potential energy after impact. The difference between these two types of energies was going to deformations phenomena.

Feasibility study of SNPs detection associated with breast cancer by genome-wide association virtual studies.

e22167 Background: Available genomic data and genome-wide association virtual studies (GWAS), provide possibility of genetic markers detection known to be associated with the complex diseases. Genome-wide association studies, involving direct testing of genetic polymorphisms in large series of disease cases versus controls, provide a powerful approach to identify lower penetrance alleles that cannot be detected by genetic linkage studies. Methods: By utilizing genotyping platforms that can type hundreds of thousands of SNPs simultaneously, it is possible to conduct association studies using sets of SNPs that tag most known common variants in the genome, and hence scan associations without prior knowledge of function or position. GWAS have been conducted in five of the most common cancer types: breast, prostate, colorectal, lung and melanoma. GWAS of breast cancer was performed by simulation of 7 known SNPs on chromosomes 2, 5, 6, 8, 10, 11 and 16 for 10,000 women. Results: The strongest associations were found for rs2981582 in the FGFR2 gene. SNPs: rs889312 ° rs2180341 and rs3817198 were associated with breast cancer in benferroni significant level. However, SNPs: rs 13387042 ° rs2180341 and rs13281615 on chromosomes 2, 6 and 8 were not associated with breast. Conclusions: Results of this research show that the detection of SNPs associated with disease is easily possible through employing virtual systems based on real data of Hap Map project by using R software.