111 research outputs found
Abul Fazal\u27s short stories: Social portraits/ আবুল ফজলের ছোটগল্প : সমাজচিত্র
No full textLiterature speaks of society, it speaks of people. Because a writer is the most emotional person in the society. Therefore, any special emotion, crisis, conflict in the life of the society, country, people makes the writer think. Abul Fazal, one of the great 20th century factionalists. He believed that only a writer could be able to express truth in society through his writings. Abul Fazal as a writer has explored various aspects of modern life reality in his short stories such as various crises of society, poverty, mental turmoil, fluctuations of hope and despair. In his short stories, the author depicts the reality of the obstacles that the subtle events of the society create in the way of individual life. On the other hand, short stories are the special medium of expression in literature where fragmentary images of social life are presented in terms of reality. Abul Fazal is a unique genius in drawing this picture
Gene expression patterns of encapsulated microbial cells
No full textTo design hybrid cellular/synthetic devices such as sensors and vaccines, understanding of how the metabolic state of living cells changes upon physical confinement within three-dimensional matrices is vital. We analyze the gene expression patterns of stationary phase Saccharomyces cerevisiae (S. cerevisiae) cells encapsulated within three distinct nanostructured silica matrices and relate those patterns to known naturally occurring metabolic states. It was found that the cells for all three-encapsulated methods enter quiescent states characteristic of response to stress, albeit to different degrees and with differences in detail. By the measure of enrichment of stress-related Gene Ontology categories, we find that the AqS+g encapsulation more amenable to the cells than CDA and SD encapsulation. We hypothesize that this differential response in the AqS+g encapsulation is related to four properties of the encapsulating gel: 1) oxygen permeability, 2) relative softness of the material, 3) development of a protective sheath around individual cells, and 4) the presence of glycerol in the gel, which has been previously noted to serve as a protectant for encapsulated cells and can serve as the sole carbon source for S. cerevisiae under aerobic conditions. This work represents a combination of experiment and analysis aimed at the design and development of 3D encapsulation procedures to induce, and perhaps control, well-defined physiological behaviors.
We also report on the temporal pattern of yeast gene expression patterns during encapsulation in silica matrices via a cell-directed assembly process, and upon release. Three broad classes of patterns are seen. A major shift in expression patterns is seen upon encapsulation, relative to the beginning stationary state, similar to previously reported stress response. Significant continuing shifts are seen by sampling at different intervals during a one week encapsulation. Upon release from encapsulation and reincubation in growth medium, the cells are in a state significantly different from the state prior to encapsulation and similar to the state during encapsulation. Implications are drawn for the use of encapsulated micro-organism as sensors and effectors, and for the persister state of such organisms.
Ordinarily Gene Ontology (GO) enrichment analysis is subject to an arbitrary threshold for defining significance of enriched classes. In this paper, we consider replacing an arbitrary threshold with F-measure optimization to define the p-value that divides “significant enrichment” from “non-significant”. It is found that evaluation of false negatives (essential for computing recall and thus F-measure) requires a heuristic (but reasonable) assumption. We apply F-measure optimization to two sets of genes from different organisms and use Benjamini-Hochberg and random resampling to evaluate the number of false positives. It is found that the uncorrected p- value that produces optimum F-measure varies widely from one data set to another. It is also found that all three methods of FDR calculation diverge from each other within a range of uncorrected p-values that provide F-measure optimum p-values. This study includes in Appendix II a pipeline for using resampling and F-measure optimization to create lists of enriched GO classes that provide for variable weights of precision and recall.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2019-12-01The student, Zeeshan Fazal, accepted the attached license on 2017-08-14 at 13:34.The student, Zeeshan Fazal, submitted this Dissertation for approval on 2017-08-14 at 13:40.This Dissertation was approved for publication on 2017-08-16 at 15:26.DSpace SAF Submission Ingestion Package generated from Vireo submission #11597 on 2018-03-13 at 10:32:05Made available in DSpace on 2018-03-13T17:28:57Z (GMT). No. of bitstreams: 5
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Previous issue date: 2017-08-16Embargo set by: Seth Robbins for item 105417
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Migrant Portraiture and Life Imaging in Fazal Sheikh’s Photodocumentaries
No full textThis article explores the role of migrant photo portraiture for life imaging by providing a close reading of two photobooks by contemporary photographer Fazal Sheikh – A Sense of Common Ground (1996) and The Victor Weeps. Afghanistan (1998). Visual storytelling is a core feature of this social and humanitarian photographer’s work, through which two main questions are addressed: how are real-life migration experiences as survival stories and personal biographies inscribed in the portraits of refugees and migrants? Which form(at)s of portraits are chosen, and which practices of portrayal are employed for the purpose of documenting migrant lives? Based on Jean-Luc Nancy’s portrait theory and Giorgio Agamben’s notion of ‘bare life’, the author introduces a process-analytical category of the ‘migrant/refugee portrait’ in order to grasp the complex (de-)figuration processes connected with the sociopolitical issues of human displacement. In Sheikh’s long-term portrayal of migrant/refugee communities and his concept of relational portraiture, she recognizes an effective documentary photo practice for de-othering and demigrantizing the portrait of the migrant as a stereotypical representation of the ‘other’
Pioneers of Library Movement in Pakistan
No full textThe paper aims to describe in brief the contribution of seven leaders of Pakistan librarianship, viz. K.B. Khalifa M. Asadullah, Prof. Dr. Abdul Moid, Dr. Abdus Subuh Qasimi, Muhammad Shafi, Fazal Elahi, Khawaja Nur Elahi and S. V. Hussain. The early library developments are given for better understanding of the role of these leaders
A study of hourly electrical load consumption forecasting approach for industrial buildings using a recurrent neural network architecture
No full textIncreased focus on decarbonization involving electrification and usage of variable renewable energy sources impose problems for the power grids. Power grids may suffer from increased disturbances as the demand for electricity increases. To potentially mitigate power supply disturbances, end users can help regulate the power grid by offering their flexibility in exchange for economic incentives. Industrial buildings such as ASKO are adapting and willing to offer their flexibility on the flexibility market.The methodology for developing flexibility bids to be offered on the flexibility market consist of several steps. One of them being accurate electrical load forecasts, these load forecasts are used as baseline estimates when creating flexibility bids. Accurate electrical load forecasts can also contribute with information during planning and power management leading to cost optimization in both operative and maintenance related tasks. This study investigates a deep learning approach to forecast hourly total electrical load consumption profiles for ASKO facility, specifically a variant of the recurrent neural network called long short-term memory network (LSTM). Three forecast models for time series analysis were developed and evaluated - a single step recurrent neural network with LSTM layers, a day-ahead recurrent neural network with LSTM layers predicting 24 hours into the future and a day-ahead recurrent neural network with LSTM layers predicting 24 hours into the future for one of the buildings assessing model performance and compared against another similar building. The data was provided by ASKO and consisted of total load bought, sold, produced and total electrical consumption for 11 buildings belonging to ASKO. Consumption profiles were available both in aggregated and disaggregated (separate profiles for all buildings) form. Data had to be treated before it could be fed to the model. A framework for tuning the LSTM networks was implemented. The models were subjugated to an extensive hyperparameter tuning process. The best model developed was the single-step recurrent neural network with LSTM layers achieving the R2 score of 0.94 and the MAE of 104.69. After obtaining the results the model performance was assessed and the models show promising results. However, it has been concluded that the presented models may not provide sufficiently accurate load forecasts and a number of aspects may need further investigation
Synthesis and Characterization of New Binuclear Cu(I) Diimine and Phosphine Mixed Ligand Complexes: Catalytic Application in the Coupling of Phenylacetylene with Halobenzene
No full textEstimation of Value of Time for a Congested Network – A Case Study of the National Highway, Karachi
No full textAbstractTraffic congestion in mega cities is a common phenomenon for developing countries. Numerous studies on congestion cost estimation, that aim to quantify their monetary losses, have been conducted. Value of Time (VOT) assessment through utility maximizing theory and choice models are abundantly applied in transport literature. However, estimating VOT on congested network is not widely applied yet. To recognize the difference under normal and congested network, the current study focuses on VOT estimation for work trips in an extremely congested network.The focus of this research is to conduct a VOT estimation of the National Highway, Karachi. It connects Karachi city with Port Qasim Industrial area and the rest of the country. A large amount of freight transport to and from the port is also observed on this road. The National highway, being the only link to commute to this industrial area, is therefore under excessive traffic congestion.A stated preference (SP) survey was conducted at various industries located in this stretch. The respondents were asked about current travel practices and their (stated) preferences based on hypothetical -though realistic- travel attributes. A choice set of four alternative modes based on the currently used mode was presented to each individual. A Multinomial Logistics Regression (MNL) Model was developed for data analysis.As perceived, the results revealed a strong impact of travel time and travel cost on the (dis)utility of travel. These results can be utilized by policy makers to reduce congestion, monetary and time losses through efficient transport planning
Nanomaterial-incorporated sulfonated poly(ether ether ketone) (SPEEK) based proton-conducting membranes: properties and applications
No full textEstimating Incoming Cross-border Trips Through Land Use data Resources – A Case of Karachi City
No full textAbstractA multitude of studies have been motivated on the association between land use, urban settings and transport infrastructure to assist policy makers in sustainable planning. Alike, incorporation of cross-border trips have been an integral part of transportation demand models through external surveys. The present study seeks to explore the Incoming Cross Border Traffic (ICBT) into a study area based on the characteristics of a study area that attracts cross-border trips from outside region. This paper presents an analysis of cross-border trips in Karachi Metropolis, largest city of Pakistan, through Household Individual Survey (HIS-2010) and land use data from alternative resources. Results reveal that land use particulars, socioeconomic characteristics and travel attributes of individuals significantly influences cross-border trips and this effect varies spatially. Work, shopping and Education trips are discussed through separate models in this paper with a number of practical insights to policy makers for sustainable development of city. This study contribute in elucidating travel behaviour through land use parameters and also persuade professionals to integrate estimation of cross-border trips by socioeconomic parameters, in transport forecasting models
Balancing asphalt mixes containing recycled materials for optimum field performance
No full textAsphalt concrete (AC) is the most common material used for the construction of pavements in the U.S. and many other countries in the world. With the increasing use of recycled materials like reclaimed asphalt pavement (RAP) and recycled asphalt shingle (RAS), the cracking resistance of asphalt pavements might be jeopardized. Therefore, such AC mixtures should be carefully investigated to ensure that performance is not compromised in the pursuit of an economical and sustainable solution.
This study investigates 17 mixes including five leveling binders (LB) and 12 surface mixes, which have been used by the Illinois Department of Transportation (IDOT) in different rehabilitation projects across the State of Illinois, between 2013 and 2015. These AC mixes contain asphalt binder replacement (ABR) from 15 to 60%, acquired from RAP and RAS, whereas these mixes also contain steel slag and crushed concrete. In order to evaluate these AC mixes, a thorough laboratory testing, including indirect tensile creep compliance and strength, Hamburg wheel tracking test, and the Illinois flexibility index test (I-FIT) was conducted to evaluate thermal cracking susceptibility, rutting, and cracking resistance, on plant-mixed lab-compacted (PMLC) mixes and three sets of field cores. The extensive exploratory data analysis on creep compliance showed that softer binder and higher asphalt content result in more compliant mixes, while recycled materials tend to decrease the compliance of AC mixes. Likewise, softer binder and recycled materials tend to counterbalance each other’s impact. Similarly, the LB has relatively higher creep compliance as expected due to its design which is intended to retard reflective cracking. The IDT strength at -10°C is very similar across all AC mixes irrespective of the amount of recycled materials. Results also show that IDT creep compliance and strength might not distinguish the effect of field aging. The Pavement Mechanistic-Empirical Design Guide (MEPDG) uses the empirically developed model for the prediction of creep compliance as an input for Level 3 analysis, which uses mix and binder properties. However, the impact of recycled materials was not captured in the MEPDG nor in the modified models. This research proposes a new model to predict creep compliance that captures the effect of recycled materials.
The I-FIT results show that PMLC mixes have relatively lower flexibility index (FI) as compared to first field cores due to the difference in aging and compaction conditions. FI decreases with the increase in aging and recycled materials, while the strength and secant modulus increase. All AC mixes offered excellent rutting resistance, because they contain high ABR, and the resistance increased with aging as expected. The balanced mix design approach was utilized, based on rut depth and FI, which showed the convergence of AC mixes to stiffer zone with field aging. Similarly, secant modulus was added to the existing balance mix design as a stiffness indicator to control soft mixes. Furthermore, the field results confirm an excellent rutting performance in all sections. In addition, an exponential increase in transverse cracking was observed, which correlates with FI values obtained on the corresponding mixes. Thus, it is believed that I-FIT is a very simple, promising, and distinguishable test for evaluating the cracking resistance of AC mixes, which could be used as a performance evaluation tool along with rutting results to obtain balanced mix designs.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2019-12-01The student, Fazal Safi, accepted the attached license on 2017-12-12 at 15:09.The student, Fazal Safi, submitted this Thesis for approval on 2017-12-12 at 15:27.This Thesis was approved for publication on 2017-12-13 at 09:21.DSpace SAF Submission Ingestion Package generated from Vireo submission #11957 on 2018-03-13 at 10:38:19Made available in DSpace on 2018-03-13T17:35:56Z (GMT). No. of bitstreams: 2
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Previous issue date: 2017-12-13Embargo set by: Seth Robbins for item 105501
Lift date: 2020-03-13T17:36:05Z
Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemLimited Restriction Lifted for Item 105501 on 2020-03-14T09:15:25Z
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