140 research outputs found

    Beena Sarwar Author Archives in The Wire

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    Several reports and opeds at this link https://thewire.in/author/beena-sarwa

    Changes in outcome prediction during the first week after subarachnoid hemorrhage

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    BACKGROUND: Prediction of long-term outcome based on initial neurological condition after aneurysmal subarachnoid hemorrhage varies with time. To date, studies have been limited to early time points and have reported that prognostication is best after resuscitation.OBJECTIVE: To describe how prediction of outcome varies from ictus through the first week of admission.METHODS: A retrospective analysis of patients with a diagnosis of aneurysmal subarachnoid hemorrhage recruited to a prospective database. Neurological condition was recorded on each day of the inpatient stay, up to day 7, using World Federation of Neurological Societies score (WFNS). Poor outcome was defined by modified Rankin scale of 3-6 at 3 months. Outcome prediction was assessed using area under the curve (AUC) after binary logistic regression.RESULTS: Of 645 patients, 55(14%) patients with WFNS 1&2 and 77(45%) patients with WFNS 4&5 on day 0 had a poor outcome. 30(8%) patients with WFNS 1&2 and 54(81%) patients with WFNS 4&5 on day 7 had a poor outcome. Prognostication using WFNS improved from day 0 to day 7 (AUC = 70.1%, CI 65.0%–75.1% vs AUC = 81.9%, CI 77.4%–86.0%) with an incremental improvement with each day in between, and the largest increases early around the time of resuscitation.CONCLUSION: Prediction of outcome improves beyond the initial resuscitation, up to day 7 of admission, with no evidence of any deterioration around the time of treatment or delayed complications like delayed cerebral ischemia. This is important when prognosticating for clinical purposes and emphasizes the importance of standardization of timing of WFNS in research

    Testing trends in gridded rainfall datasets at relevant hydrological scales: A comparative study with regional ground observations in Southern Italy

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    Study region: In this study, we compared the spatiotemporal evolution of rainfall trends in E-OBS and ERA5 to those detected using historical rainfall series recorded by ground-based networks in Southern Italy. In particular, the study is applied to the Campania, Basilicata, Apulia, Calabria and Sicily regions (84,000 km(2) in total) on seasonal and annual scales. Study focus: Meteorological gridded datasets at large spatial scales are widely used in many hydroclimatic applications as they provide long and spatially homogeneous records. Regional trend analyses based on these data need to be treated with caution due to some potential limitations at relevant hydrological scales, such as the coarse spatial resolution and the spatio-temporal inhomogeneity of the underlying data. Gradual trends and abrupt change points were studied on rainfall data from 1979 to 2019. New hydrological insights for the region: Both gridded datasets capture the major trends in observed rainfall, with a predominance of positive values driven by changes in September-November. Overall, ERA5 returns flatter results compared to E-OBS, with the former comparing well with observations in Sicily and Apulia, while the latter is performing well in Campania and partially in Calabria and Basilicata. Most statistically significant trends are associated with discontinuities in the early 2000s, and this is well captured by both ground and gridded datasets. The general behavior in inter-annual variability trends in Southern Italy is captured by both datasets, with ERA5 also detecting regional patterns

    Author gender identification for Urdu articles

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    This 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

    متنبی كی شاعری كے اخلاقی پہلو

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    Abu Tayyeb al-Mutanabbi is one of the most prominent and influential poets of the Arabic language. Undoubtedly, he is a genius and a great master of Arabic verse. His poetry is remarkable for its originality and ingenuity of construction. He is marvelously sharp and skillful litterateur who managed to join the antithesis and dexterity together in order to convince the readers and keeps his spirit always alive. Among the topics his poetry covers are courage, philosophy of life, chastity, hospitality, self esteem and contentment. The article traces moral aspects in his poetry

    حاتم طائی کی شاعری کے اخلاقی پہلو

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    Hatim Tai is a well known personality. Generosity is his claim of fame. He was also a famous Arabic poet and a respected chieftain of the pre-Islamic period. Books are replete with stories of his acts of generosity which made him an inspirational figure in history of the Arabs. Hatim is one of the rare breed blessed with high moral values. He always kept away from immoral activities prevalent in his time. He was so popular for his virtues that the holy Prophet (PBUH) also admired and esteemed him. Hatim is mainly famous for his generosity but the detailed account of chastity, truthfulness, supporting the oppressed, non-violence, hospitality, valour, fulfilment of promise, self esteem and contentment proves him to be a person of high morals and aptly he composed his verses on these topics. 

    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

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    Prevotella 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

    Author verification of Nahj Al-Balagha

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    This 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

    Simulation and Implementation of a Wireless Metal Detector with Variety of Flexible Responses- A Solution to Extensive Security Threats

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    We proposed a design of a wireless metal detector in this research article. A system is designed which offers a variety of electrical equipments necessary for a privatized metal sensor. The main objective of this research is to provide a mature solution to the recent security threads all over the world by designing a localized wireless metal detection system. Different analysis has been shown graphically in this article. In addition, the system is kept flexible to respond to a security threat e.g. in case of a metal detection. The case study chosen for this article is Pakistan, a country facing extensive threats in the age of globalization
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