409 research outputs found
sj-docx-1-jef-10.1177_15589250221078927 – Supplemental material for Impact of MW rays on extraction and application of Ficus religiosa bark based natural colourant for cotton dyeing
No full textSupplemental material, sj-docx-1-jef-10.1177_15589250221078927 for Impact of MW rays on extraction and application of Ficus religiosa bark based natural colourant for cotton dyeing by Waseem Akram, Shahid Adeel, Nimra Amin, Noman Habib, Asma Inayat and Somayeh Mirnezhad in Journal of Engineered Fibers and Fabrics</p
The Reflection of Islamic Culture and Beliefs in the Stories of Dr. Akram Osman
Full text linkThe sacred religion of Islam encompasses its own distinct principles, laws, and worldview, as presented through the Holy Quran, a divine guide for humanity. This guidance shapes the beliefs, actions, and morals of Muslims according to an Islamic perspective. Islam is a comprehensive and complete religion that addresses all aspects of individual, familial, social, economic, political, and cultural life. It provides everything necessary for human guidance and prosperity, as conveyed to humanity by Prophet Muhammad (PBUH), the savior of mankind, who is the final prophet, and Islam is the ultimate and final religion. In Islamic societies, the responsibility of promoting and conveying Islamic teachings was not limited to religious scholars alone. Muslim poets and writers also undertake this significant mission, using their literary talents in both poetry and prose to inspire individuals and societies with the values and teachings of this sacred religion. The late Dr. Mohammad Akram Osman, a distinguished author from Afghanistan, made remarkable contributions to storytelling that not only enriched the world of literature but also served as a guide for humanity in learning and understanding Islamic culture and beliefs. This article aims to explore the reflection of Islamic culture and beliefs in the stories of Dr. Mohammad Akram Osman, highlighting his ability to intertwine Islamic teachings with literary expression
Neutralisation state driven single-agent search strategy for solving constraint satisfaction problem / Saajid Akram Ahmed Abuluaih
Full text linkIn the past seven decades, Constraint Satisfaction (CS) has been extensively studied and remarkably evolved to where the scientific community perceives it as the centre of the intelligent behaviour. Therefore, most of the recent research in the field is devoted to improving the problem solvers that utilize search strategies and techniques. Since Constraint Satisfaction Problem (CSP) is an NP-complete problem, brute-force search algorithms such as Backtracking algorithm (BT) are required as the guarantee to find a solution, when there is one. Moreover, since the establishment of the field, AI pioneers and specialists have setup instructions and guidelines on how to solve this type of problems back in the seventies of the last century and have not been changed or improved. For example, the framework of solving CSP imposes a complete permutation of assignments to all remaining variables in order to derive a valid model. The author argues in this study that the problem can be neutralised and it is not necessary to perform brute-force searching all the time if a search strategy could have guided the process to the level where the values of the remaining variables can be determined implicitly, creating what the author calls Solo-Path of assignments in the problem search tree
Clinical characteristics of critically ill patients infected with COVID-19 in rasoul akram hospital in Iran: A single center study
Full text linkBackground: Knowledge about clinical features of critically ill patients with COVID-19 still lacks adequate information up to now. Objectives: We aimed to describe and compare the epidemiological and clinical characteristics of critically ill patients with COVID-19 in Rasoul Akram Hospital. Methods: In this case series, 70 critically ill patients with COVID-19 admitted in ICU wards of Rasoul Akram Hospital, Tehran, Iran, from 29 February to 25 April 2020 were enrolled. Demographic and clinical characteristics, laboratory data, and outcomes of the patients were all collected and compared between deceased and recovered patients. Results: Fifty-six cases had died of COVID-19, and 14 patients had fully recovered and discharged. The median age of the patients was 68 years old, ranging from 22 to 91 years, 66 were men, 80 had one or more comorbidities, and hypertension was the most common comorbidities (45 of deceased cases). The most common signs and symptoms at the onset of illness were SPO2 depression (92) and dyspnea (90). Dyspnea was significantly more common in deceased patients (95) than recovered patients (70) (P = 0.048). Most patients had lymphopenia (80). The number of patients who needed mechanical ventilation in the deceased patients was 53 (95), which was significantly more than the recovered patients (10 70%) (P = 0.048). Conclusions: The mortality rate of critically ill patients with COVID-19 is very high, and the patients with dyspnea and required mechanical ventilation are at higher risk for death. © 2020, Author(s)
Akram Khan, Lloyd Newson, and the Challenges of British Multiculturalism
Full text linkIn a climate riven by national insecurities, anti-immigration movements and competing visions of a post-Brexit future, this paper examines the contentious space multiculturalism has inhabited in 21st-century British choreography. It analyses acclaimed works by Akram Khan and Lloyd Newson to explore starkly differing perspectives on cultural diversity in the UK. Khan’s contribution to the London 2012 Olympics Opening Ceremony (Abide with Me) emphasised the nation’s post-imperialist and cosmopolitan profile. By contrast, Newson’s contemporaneous work Can We Talk about this? (2011/12) was highly critical of current models of multiculturalism and in particular attitudes towards Islam. This paper compares the two choreographies using a theoretical framework that draws on both political thought and dance analysis, to evaluate their contributions to debates around culture, tolerance and diasporic identities and illustrate the broader entanglement between British dance and contemporary politics.@ 2018, Edinburgh University Press. The attached document is an author produced version of a paper accepted for publication in Dance Research, uploaded in accordance with the publisher’s self-archiving policy. Some minor differences between this version and the final published version may remain. Once published, we suggest you refer to the final published version (Version of Record) should you wish to cite from it
Towards Realistic Hyperon Reconstruction in PANDA : From Tracking with Machine Learning to Interactions with Residual Gas
No full textThe PANDA (anti-Proton ANnihilation at DArmstadt) experiment at FAIR (Facility for Anti-proton and Ion Research) aims to study strong interactions in the confinement domain. In PANDA, a continuous beam of anti-protons will impinge on a fixed hydrogen target inside the High Energy Storage Ring (HESR), a feature intended to attain high interaction rates for various physics studies e.g. hyperon production. This thesis addresses the challenges of running PANDA under realistic conditions. The focus is two-fold: developing deep learning methods to reconstruct particle trajectories and reconstruct hyperons using realistic target profiles. Two approaches are used: (i) standard deep learning model such as dense network, and (ii) geometric deep leaning model such as interaction graph neural networks. The deep learning methods have given promising results, especially when it comes to (i) reconstruction of low-momentum particles that frequently occur in hadron physics experiments and (ii) reconstruction of tracks originating far from the interaction point. Both points are critical in many hyperon studies. However, further studies are needed to mitigate e.g. high clone rate. For the realistic target profiles, these pioneering simulations address the effect of residual gas on hyperon reconstruction. The results have shown that the signal-to-background ratio becomes worse by about a factor of 2 compared to the ideal target, however, the background level is still sufficiently low for these studies to be feasible. Further improvements can be made on the target side to achieve a better vacuum in the beam pipe and on the analysis side to improve the event selection. Finally, solutions are suggested to improve results, especially for the geometric deep learning method in handling low-momentum particles contributing to the high clone rate. In addition, a better way to build ground truth can improve the performance of our approach
Towards Realistic Hyperon Reconstruction in PANDA : From Tracking with Machine Learning to Interactions with Residual Gas
No full textThe PANDA (anti-Proton ANnihilation at DArmstadt) experiment at FAIR (Facility for Anti-proton and Ion Research) aims to study strong interactions in the confinement domain. In PANDA, a continuous beam of anti-protons will impinge on a fixed hydrogen target inside the High Energy Storage Ring (HESR), a feature intended to attain high interaction rates for various physics studies e.g. hyperon production. This thesis addresses the challenges of running PANDA under realistic conditions. The focus is two-fold: developing deep learning methods to reconstruct particle trajectories and reconstruct hyperons using realistic target profiles. Two approaches are used: (i) standard deep learning model such as dense network, and (ii) geometric deep leaning model such as interaction graph neural networks. The deep learning methods have given promising results, especially when it comes to (i) reconstruction of low-momentum particles that frequently occur in hadron physics experiments and (ii) reconstruction of tracks originating far from the interaction point. Both points are critical in many hyperon studies. However, further studies are needed to mitigate e.g. high clone rate. For the realistic target profiles, these pioneering simulations address the effect of residual gas on hyperon reconstruction. The results have shown that the signal-to-background ratio becomes worse by about a factor of 2 compared to the ideal target, however, the background level is still sufficiently low for these studies to be feasible. Further improvements can be made on the target side to achieve a better vacuum in the beam pipe and on the analysis side to improve the event selection. Finally, solutions are suggested to improve results, especially for the geometric deep learning method in handling low-momentum particles contributing to the high clone rate. In addition, a better way to build ground truth can improve the performance of our approach
A comparison of global surgery tariffs and the actual cost of bills at Hazrate Rasoole Akram educational and medical center
Full text linkBackground: The health service tariff is an appropriate policymaking tool and the financial leverage of the health system control which affects quality, availability, cost, efficiency, equity and accountability of health services. Global surgeries include 91 common cases of general and specialized surgeries in hospitals; fixed tariffs are annually defined for these surgeries, and insurance companies must pay medical centers based on these tariffs. The aim of this study was to examine and compare hospital bills with global surgery tariffs at Hazrate Rasoole Akram Educational and Medical Center in 2017. Methods: This descriptive-Analytic study was conducted retrospectively and compared the global and actual costs of global surgeries performed in the third quarter of the year 2017 at Hazrate Rasoole Akram Educational and Medical Center. Required data on the actual costs of surgeries was collected through the Hospital Information System (HIS) and patients' records. Information on the global costs was obtained from the Annual Circulars of Insurance Council for the studied period about the cost of global surgeries. Linear regression (STATA13 software) was used to investigate the effect of items on tariff and invoice differences; concerning other calculations, EXCEL software was used. Results: The highest frequency of global surgeries was related to ophthalmic surgery which accounted for approximately half of total surgeries performed at Hazrate Rasoole Akram Hospital. The most significant difference between global tariff and invoice was also related to ophthalmic surgery (188709.3 Dollar a year).Overall, the actual hospital bills were much higher than the tariffs approved for global surgeries, and the total difference was 461805.5 Dollar. The results revealed that there was a significant relationship between some of the items such as the cost of operating rooms, anesthesia and other services. Conclusions: Referral hospitals which are at the level three of referral networks usually treat more complex patients; this should be taken into account when defining surgery tariffs of these centers. On the other hand, hospitals need to control the costs and reduce the end cost of these surgeries by improving clinical management and cost management. In addition, prospective and case-based payment methods can control health costs. © 2020 The Author(s)
Transformation function tests
No full textEconometric models usually relate a known function of a dependent variable, Y , with some observable covariates X. A misspeci ed transformation function, however, can cause inconsistency. The estimated parameters will be biased and inconsistent. The marginal e ects and the elasticities calculated using these estimated parameters can be far from the truth and any inference based on them will be misleading. The problem of misspeci cation can be resolved simply by estimating the transformation function. There are di erent methods of estimating the model based on the parametric assumptions on the transformation function, or the distribution of the error term, or both. In a completely parametric setup, both the transformation function and the distribution of the error term are known up to a vector of parameters. The Box-Cox transformation is a good example of using parametric transformation functions. It is also possible, however, to estimate the transformation function without parametric assumptions. In this dissertation two Hausman tests for transformation functions are proposed where validity does not depend on distributional assumptions. These tests compare estimators that remain consistent regardless of the transformation function to an estimator whose consistency depends on the transformation function. The properties of these test statistics are studied in nite sample and under di erent designs. The behavior of these test statistics is studied both when the adopted transformation function is correct and when the true transformation function deviates from the hypothesized one. This dissertation applies the semiparametric transformation function test to study reported crimes in the U.S. metropolitan areas. Most studies in this literature adopt a logarithmic transformation of reported crimes. There is no theoretical justi cation for this speci c function. In addition, it is likely that city level crime is misreported (underreported). Therefore, testing is particularly relevant. I show that, although for particular types of crimes the log function is appropriate, the same log function cannot be used for broadly de ned categories of crimes.Ph. D.Includes bibliographical referencesIncludes vitaby Kaveh Akra
Al-Muhaddithat: The Women Scholars In Islam: by Mohammad Akram Nadwi
No full textThe book entitled Al-Muhaddithat: The Women Scholars in Islam was written by Mohammad Akram Nadwi, and it was published by Interface Publications Ltd. in 2007. It was the result of a study of more than 15 years to produce 40 volumes of Muslim biographies of the women scholars of hadiths which were written in Arabic, and this book is an early introduction which was written in English. The author has explained in the pre-book as an introduction regarding the purpose of writing this book. It contains ten chapters. Each chapter is equipped with footnotes, and the list of references consists of classical sources (turāth) and Arabic manuscripts arranged alphabetically. Although this book is a preamble to the wider series of books, it was a great effort and has received a very positive response among readers. It is reasonable as compulsory reading material by the academicians and students who are directly involved in the field of Hadith, but it is also not too heavy to be used as general reading for the public who are keen to explore the culture of knowledge practiced by women who are known as al-muḥaddithāt.
Abstrak
Buku yang berjudul Al-Muhaddithat: The Women Scholars in Islam aditulis oleh Mohammad Akram Nadwi, dan telah diterbitkan oleh Interface Publications Ltd. pada tahun 2007. Ia adalah hasil kajian selama lebih daripada 15 tahun untuk menghasilkan 40 jilid kamus biografi ulama wanita hadis Nabi yang ditulis dalam bahasa Arab, dan buku ini merupakan pengenalan awal kepada kamus tersebut yang ditulis dalam bahasa Inggeris. Hal ini dijelaskan di dalam pra kata buku sebagai pengenalan kepada tujuan buku ini ditulis. Ia mengandungi sepuluh bab. Dimulai dengan “Pendahuluan” sebelum bab pertama, dan diakhiri dengan “Rujukan” dan “Indeks”. Setiap bab dilengkapi dengan nota kaki, dan senarai rujukannya terdiri daripada sumber klasik (turāth) dan manuskrip Arab yang disusun mengikut abjad. Biarpun buku ini merupakan mukaddimah kepada siri buku yang lebih luas, ia merupakan usaha yang sangat besar dan telah pun mendapat respon yang sangat positif dalam kalangan pembaca. Ia wajar dijadikan bacaan wajib oleh para akademik dan pelajar yang terlibat secara langsung dalam bidang hadis, tetapi ia juga tidak begitu berat untuk dijadikan bacaan umum untuk orang awam yang berminat untuk mendalami budaya ilmu yang telah dipraktikkan oleh para wanita yang bergelar al-muḥaddithāt
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