Silent voices, untold stories: perceptions of female students towards their own experiences and higher educational opportunities in Peshawar, Khyber Pukhtunkhwah (KP) (Pakistan)

The aim of this thesis is to investigate factors relating to the low level of women’s participation in higher education in Khyber Pukhtunkhwah (KP) a particularly conservative and traditionalist region of Pakistan, adjoining Afghanistan. The province of Khyber Pukhtunkhwah has a culture, language, traditions and patriarchal values that are substantially different from the rest of the country. There is a chronically low participation rate in higher education by women (6.55%) as opposed to men (28.44%). For this research, a mixed methods approach was used founded on Marxist and Islamic Feminist research paradigms, interviewing and questioning students in four higher education institutes in Peshawar, KP, using a research design that included both quantitative and qualitative methods. The data analysis reveals that the women who succeed in entering higher education actually have social / economic advantages; they are in general from the elite and the upper middle classes. However, even they face problems relating to the particularly conservative understandings and practices of Islam that are culturally specific to KP/ Pukhtun culture as these were dominant in forming their decisions rather than the actual teachings of Islam. Attitudes towards women’s work and the language of instruction used in their education had implications for their educational opportunities Women of all economic classes had difficulty with being allowed to reach decisions on their own: they had to seek approval from their families, particularly from their male relatives. Men (and women) misinterpreted the teachings of religion, in other words they ‘culturalised’ Islam instead of Islamising the culture. One of the aims of this thesis is ‘Breaking the Silence: Listening to Pukhtun Women’. This thesis does this as it gives voice to (a number of) Pukhtun women, concerning their lives, hopes, anticipations, relating to education and career. However, this is just a beginning and much more research needs to occur in order to allow better understanding of the lives and aspirations of women in this area of Pakistan

Modeling Probability of Path Loss for DSDV, OLSR and DYMO above 802.11 and 802.11p

This paper presents path loss model along with framework for probability distribution function for VANETs. Furthermore, we simulate three routing protocols Destination Sequenced Distance Vector (DSDV), Optimized Link State Routing (OLSR) and Dynamic MANET On-demand (DYMO) in NS-2 to evaluate and compare their performance using two Mac-layer Protocols 802.11 and 802.11p. A novel approach of this work is modifications in existing parameters to achieve high efficiency. After extensive simulations, we observe that DSDV out performs with 802.11p while DYMO gives best performance with 802.11.Comment: IEEE 8th International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA'13), Compiegne, Franc

Experiences of newly diagnosed oral cancer patients during the first wave of the COVID-19 pandemic: A qualitative study from Pakistan

The COVID-19 pandemic has resulted in the scaling back or postponement of non-emergency hospital services, including care of cancer patients. The present qualitative study explored the experiences of newly diagnosed oral cancer patients during the first wave of the COVID-19 pandemic in Pakistan. Patients who attended the Department of Maxillofacial Surgery, Khyber College of Dentistry in July 2020 were selected using a maximum variation purposive sampling method. Seventeen semi-structured interviews were conducted in Pashto, the local language of Khyber Pakhtunkhwa. All interviews were audiotaped, transcribed verbatim, and translated into English. Thematic content analysis yielded eight major themes: pain and generalised physical weakness, shock at diagnosis, psychological distress of the COVID-19 pandemic, faith and religion, double hit loss of employment, social isolation, social support from caregivers, and lack of support from health care professionals. In conclusion, the COVID-19 pandemic has a clear impact on the life experiences of newly diagnosed oral cancer patients. Distress due to delay in accessing health care and lack of support from health care providers are a matter of great concern. Appropriate interventions should be introduced to ensure psychological and social support strategies are in place for patients during interruptions of health care services

ApplianceNet: a neural network based framework to recognize daily life activities and behavior in smart home using smart plugs

A smart plug can transform the typical electrical appliance into a smart multi-functional device, which can communicate over the Internet. It has the ability to report the energy consumption pattern of the attached appliance which offer the further analysis. Inside the home, smart plugs can be utilized to recognize daily life activities and behavior. These are the key elements to provide human-centered applications including healthcare services, power consumption footprints, and household appliance identification. In this research, we propose a novel framework ApplianceNet that is based on energy consumption patterns of home appliances attached to smart plugs. Our framework can process the collected univariate time-series data intelligently and classifies them using a multi-layer, feed-forward neural network. The performance of this approach is evaluated on publicly available real homes collected dataset. The experimental results have shown the ApplianceNet as an effective and practical solution for recognizing daily life activities and behavior. We measure the performance in terms of precision, recall, and F1-score, and the obtained score is 87%, 88%, 88%, respectively, which is 11% higher than the existing method in terms of F1-score. Furthermore, our scheme is simple and easy to adopt in the existing home infrastructure

Degradation assessment of nuclear power plant extraction steam piping after long term service

Degradation due to ageing in a Nuclear Power Plant’s Extraction Steam Piping has been assessed. Samples of twelve years old seamless carbon steel SA 106B pipe have been taken and subjected to metallographic examination, hardness testing, radiographic examination and ultrasonic thickness measurement to investigate and analyze ageing in piping material. Metallographic examination of aged sample revealed irregularly distributed graphite nodules in ferrite grains and on grain boundaries as well, the reduction in pearlite phase has also been observed from 40% to 25%. This Transformation in microstructure has reduced hardness of steel. Reduction in hardness has found 20.4% and 0.7% on inner and outer layer of the pipe material respectively. Corrosion pits having average depth of 0.07 mm have been found on external surface. Radiograph of aged pipe revealed material removal and wall thinning due to erosion on inner surface of pipe. The extent of erosion had been checked, which has found 8.7%

Structure modeling and mutational analysis of gap junction beta 2 (GJB2)

The genome sequencing accomplishes complete genetic blue prints for hundreds of organisms, including humans. In the current era, we are trying to focus on analyzing, controlling and modifying functions of proteins encoded by these genomes. This task is attained by protein three dimensional structures. Three dimensional (3 D) structure is very useful for understanding biological functions. Gap junction beta 2 (GJB2), human gene encoding for gap junction beta 2 protein is involved in various hearing disorders in Pakistani families. After the first report of GJB2 involvement in Pakistani families, it was necessary to further study this protein. Therefore, a 3D structure of GJB2 was developed using comparative modeling approach. For modeling, a template was selected by blastp at NCBI and the best template selected was 2ZW3. By comparing the template-target sequence, a model was created using MODELLER, a program for homology modeling. The accuracy of the predicted structure was checked using Ramachandran plot which showed that the residue falling in the favored region was 92.4%. The predicted GJB2 model can be used to understand the defects that lead to deafness and eventually in drug designing. Domains and different properties of GJB2 were analyzed by applying online servers. Most frequent mutations of GJB2 were discussed by differentiating between damaging and benignity.Key words: GJB2, 3D structure, 2ZW3, DFNB1, MODELLER

Increasing smoking intensity is associated with increased disease activity in axial spondyloarthritis.

A history of ever-smoking appears to be associated with a more severe disease phenotype in axial spondyloarthritis (axSpA). However, evidence is sparse for the effect of increased smoking exposure on disease outcomes or whether smoking reduction or cessation improves outcomes. The aim of this study was to explore whether a dose-response relationship exists between pack-years and disease activity and functional impairment in axSpA. Consecutive patients meeting ASAS criteria for axial SpA were recruited from a spondyloarthritis service. The associations between pack-years of smoking and: (1) disease activity (BASDAI/ASDAS), (2) spinal pain, (3) functional impairment (BASFI) and (4) inflammatory markers were explored using multivariable linear models, adjusted for age, gender and use of TNF inhibition (TNFi) therapy. Pack-years were categorised into four groups (40) and analysed with light smoking (40, β = 2.6 (0.54, 3.56)), higher BASFI (21-40, β = 2.1 (0.42, 4.80); >40, β = 3.2 (0.76, 5.71)), and higher ASDAS (21-40, β = 0.82 (0.14, 1.51)). This cross-sectional study demonstrated that smoking is associated with increased axSpA severity markers in a dose-response manner. Particular effort should be made to restrict smoking exposure early before accruing a significant number of pack-years