219 research outputs found
Beena Sarwar Author Archives in The Wire
No full textSeveral reports and opeds at this link https://thewire.in/author/beena-sarwa
Author gender identification for Urdu articles
No full textThis is an accepted manuscript of an article published by Springer in Lecture Notes in Computer Science on 21/09/2022. The accepted version of the publication may differ from the final published versionIn recent years, author gender identification has gained considerable attention in the fields of computational linguistics and artificial intelligence. This task has been extensively investigated for resource-rich languages such as English and Spanish. However, researchers have not paid enough attention to perform this task for Urdu articles. Firstly, I created a new Urdu corpus to perform the author gender identification task. I then extracted two types of features from each article including the most frequent 600 multi-word expressions and the most frequent 300 words. After I completed the corpus creation and features
extraction processes, I performed the features concatenation process. As a result each article was represented in a 900D feature space. Finally, I applied 10 different well-known classifiers to these features to perform the author gender identification task and compared their performances against state-of-the-art pre-trained multilingual language models, such as mBERT, DistilBERT, XLM-RoBERTa and multilingual DeBERTa, as well as Convolutional Neural Networks (CNN). I conducted extensive experimental studies which show that (i) using the most frequent 600 multi-word expressions as features and concatenating them with the most frequent 300 words as features improves the accuracy of the author gender identification task, and (ii) support vector machines outperforms other classifiers, as well as fine-tuned pre-trained language models and CNN. The code base and the corpus can be found at: https://github.com/raheem23/Gender_Identification_Urdu
Relationship between groundwater table depth, groundwater quality, soil salinity and crop production
No full textThis technical report presents the first results of the study that looks at how intensive irrigation and rising groundwater tables have increased soil salinity. It assesses the current state of groundwater levels, groundwater and soil salinity, irrigation and drainage practices and their combined impact on crop production and soil salinization.
Salinity problems are most observed in central and southern Iraq where the alluvial plain has become a discharge area for saline ground water. While large scale salt accumulation is the result of soil evaporation, salinity may have been caused by intensive irrigation and rising groundwater table due to high seepage losses from canals and irrigated fields.
The slight slope of the river plains and the low rainfall limit natural drainage. As a result, salts from the irrigation water of some millennia have accumulated in the topsoil. To this end, cropping patterns and selected yields were examined; soil properties and quality of irrigation and ground water quality in Mussaiab and Dujailah were also analyzed
Prevotella intermedia ジペプチダーゼAの基質特異性の決定と新規オートプロセシング機構
Get PDFPrevotella intermedia, a gram-negative anaerobic rod, is frequently observed in subgingival polymicrobial biofilm from adults with chronic periodontitis. Peptidases in periodontopathic bacteria are considered to function as etiological reagents. Pre. intermedia OMA14 cells abundantly express an unidentified cysteine peptidase specific for Arg-4-methycoumaryl-7- amide (MCA). BAU17746 (locus tag, PIOMA14_I_1238) and BAU18827 (locus tag, PIOMA14_II_0322) emerged as candidates of this peptidase from the substrate specificity and sequence similarity with C69-family Streptococcus gordonii Arg-aminopeptidase. The recombinant form of the former solely exhibited hydrolyzing activity toward Arg-MCA, and BAU17746 possesses a 26.6% amino acid identity with the C69-family Lactobacillus helveticus dipeptidase A. It was found that BAU17746 as well as L. helveticus dipeptidase A was a P1-position Arg-specific dipeptidase A, although the L. helveticus entity, a representative of the C69 family, had been reported to be specific for Leu and Phe. The fulllength form of BAU17746 was intramolecularly processed to a mature form carrying the N-terminus of Cys15. In conclusion, the marked Arg-MCA-hydrolyzing activity in Pre. intermedia was mediated by BAU17746 belonging to the C69-family dipeptidase A, in which the mature form carries an essential cysteine at the N-terminus.長崎大学学位論文 学位記番号:博(医歯薬)甲第1215号 学位授与年月日:令和2年3月19日Author: Mohammad Tanvir Sarwar, Yuko Ohara-Nemoto, Takeshi Kobayakawa, Mariko Naito and Takayuki K. NemotoCitation: Biological Chemistry, Article in Pres
Understanding the linkages between groundwater table depth, groundwater quality, soil salinity and crop production in Al-Musaib and Al-Dujaila Project areas of Iraq
No full textThe main objective of this study is to assess the current state of groundwater levels, groundwater and soil salinity, irrigation and drainage practices and their combined impact on crop production and soil salinization under and the ‘do nothing’ scenario in central and southern Iraq
Author verification of Nahj Al-Balagha
Get PDFThis is an accepted manuscript of an article published by OUP in Digital Scholarship in the Humanities on 20/01/2022.
The accepted version of the publication may differ from the final published version. Available online at https://doi.org/10.1093/llc/fqab103The primary purpose of this paper is author verification of the Nahj Al-Balagha, a book attributed to Imam Ali and over which Sunni and Shi’i Muslims are proposing different theories. Given the morphologically complex nature of Arabic, we test whether morphological segmentation, applied to the book and works by the two authors suspected by Sunnis to have authored the texts, can be used for author verification of the Nahj Al-Balagha. Our findings indicate that morphological segmentation may lead to slightly better results than whole words, and that regardless of the feature sets, the three sub-corpora cluster into three distinct groups using Principal Component Analysis, Hierarchical Clustering, Multi-dimensional Scaling and Bootstrap Consensus Trees. Supervised classification methods such as Naive Bayes, Support Vector Machines, k Nearest Neighbours, Random Forests, AdaBoost, Bagging and Decision Trees confirm the same results, which is a clear indication that (a) the book is internally consistent and can thus be attributed to a single person, and (b) it was not authored by either of the suspected authors
Rainfall Extremes: a Novel Modeling Approach for Regionalization
No full textThe rainfall events of extreme magnitude over the past few decades have caused destructive damages to lives and properties, especially in the subcontinent (e.g. Pakistan, India, Bangladesh etc). Rainfall hazard maps for these areas can be of great practical and theoretical interests. In our work, we used extreme value analysis and spatial interpolation techniques to provide such maps through a combination of the Tropical Rainfall Measuring Mission Precipitation (TRMM) 3B42 product and raingauge data. This mixed approach takes advantage of both the long time series available at a limited number of stations, and the large spatial coverage of the satellite data which, instead, has a poor temporal extent. The methodology is implemented by (1) creating a unique growth curve for the homogeneous region by utilizing in-situ rainfall data and (2) mapping the parameters of intensity-duration functions for the entire length of the study area by using TRMM 3B42 product. The regional results obtained by using mixed approach and TRMM 3B42 are compared with the estimates obtained by using in-situ data. The comparison showed that the overall output of mixed approach is more consistent with what transpired by in-situ data for a pre-defined return period
Design and analysis of a solar water pumping for a fish farm in Pakistan
No full textAquaculture is a multibillion-dollar industry growing worldwide, especially in developing countries. This thesis focuses on a comprehensive study of off-grid fish farming in rural areas of Pakistan. A suitable site is selected for a fish farm. The solar PV system was designed and optimized for this fish farm on their annual load requirements, which are 100% renewable. Results demonstrated that the designed Solar PV system fulfilled the fish farm load smoothly and sufficiently throughout the year. Initial cost and maintenance are also estimated using HOMER Pro. Data were collected from the site survey and found there was not any system for water pumping system operations. The water pump operated manually through labor based on the visual determination of water level in ponds, Which increased production cost, electricity consumption, and wastewater. For this problem, Proposed a water pumping system automation and control using TinkerCAD. As a result, the system worked efficiently using an ultrasonic water level sensor and a low-cost motor with a microcontroller. The designed system works automatically when the water level drops to the threshold and stops. The major part of this thesis is designing and implementing an IoT-based real-time health monitoring system for the fish farm. Microcontroller Arduino Uno and Wi-Fi module ESP8266 used for the proposed system and designed a system to monitor the most critical metrics of the fish farm using an ultrasonic sensor temperature sensor, pH sensor, and dissolved oxygen sensor. ThingSpeak Cloud platform is used for data storage and display. Aquafarmers can access the fish farm health monitoring system through the web interface and phone App.Includes bibliographical references (pages 88-94
Resilience analysis of offshore safety and power system
No full textHarsh and deep waters create challenging environments for offshore drilling and production facilities, resulting in increased chances of failure. This necessitates improving the resilience of the engineering system, which is the capability of a system to recover its functionality during disturbance and failure. The present work proposes an approach to quantify resilience as a function of vulnerability and maintainability. The approach assesses proactive and reactive defense mechanisms along with operational factors to respond to unwanted disturbances and failures. The proposed approach employs a Bayesian network to build two resilience models. Two developed models are applied to: 1) a hydrocarbon release scenario during an offloading operation in a remote and harsh environment, and 2) the main requirements to improve the resilience of an offshore power management system. This study attempts to relate resilience capacity of a system to the system’s absorptive, adaptive and restorative capacities. These capacities influence pre-disaster and post-disaster strategies that can be mapped to enhance resilience of the system. Furthermore, the technique of an object-oriented framework is adopted to better structure the resilience model as a function of a system’s adaptability, absorptive and restorative capabilities. Sensitivity analysis is also conducted to analyze the impact and interdependencies among different variables to enhance resilience.Includes bibliographical references
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