9,489 research outputs found
Layout and Principal Buildings of Hyderabad at the Time of Muhammad-Quli Qutb Shah
No full textfull view, Drawing depicting the layout and principal buildings of Hyderabad during the time of Muhammad-Quli Qutb Shah (reg. 1591-1600s). Map by Haroon Khan Serwani.
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The interrelation among environmental quality, public accounts, and macroeconomic fundamentals: An analysis of OECD countries using machine learning techniques
No full textThis study explores the intricate relationships among environmental quality, public finance indicators, and socioeconomic variables in OECD countries, using Machine Learning (ML) techniques for the period 1990–2021. The research uniquely identifies key factors influencing renewable energy consumption (REC) by incorporating various public finance indices, macroeconomic fundamentals, trade measures, and socio-economic variables. By emphasizing the role of public debt policies, the study uncovers their significant yet complex and non-linear influence on renewable energy adoption. Unlike existing studies, this research utilizes Neural Networks (NN), a state-of-the-art ML technique, to generate robust and reliable outcomes. This methodological innovation sets the study apart by offering more accurate feature importance scores compared to traditional econometric methods. The findings advance our understanding of the crucial role that public finance plays in achieving Sustainable Development Goals (SDGs), particularly SDG-7, and underscore the necessity of effective public debt management for fostering environmental sustainability. Policy implications drawn from the results provide actionable recommendations for governments to enhance REC adoption while achieving broader environmental goals
AI-Based Modelling and Processing Technologies for Hydrogen Creation
No full textThis research aims to thoroughly analyse recent advancements in method demonstration and the implementation of Artificial Intelligence (AI) in integrated hydrogen production and carbon capture. The primary objective is to offer a detailed account of the anticipated role of AI in shaping future research endeavours related to blue hydrogen production and carbon capture. This involves a focus on Machine Learning (ML) applications in material development and process optimisation. The research provides an overview of AI and cycle demonstration in a relevant context, accompanied by a concise examination of recent developments in blue hydrogen production. The foundational instruments of AI modelling and processing are briefly outlined, and their application in blue hydrogen creation is discussed, considering both advantages and drawbacks. Ultimately, the research aims to deliver a comprehensive overview of the advancements in ML, emphasising its substantial contribution to accelerating blue hydrogen generation, particularly in the realms of material and process development. AI modelling and processing technologies are preferred for hydrogen creation due to their superior ability to optimise complex, data-intensive processes and accelerate material innovation, overcoming the limitations of traditional modelling methods
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
Statistical models and algorithms for the analysis of human mobility data from smartphone applications
No full textGreening the mines: Managing efficiency, environmental impact, and ecology in Chinese mining regions
No full textThis research aims to devise a statistically sound method for evaluating the efficacy of green development in the mining industry across various Chinese regions while keeping environmental challenges and ecological conservation in view to identify potential challenges and opportunities for implementing green growth initiatives in the mining industry. A three-stage network structure is utilized for evaluation. By employing a dynamic network framework utilizing the Slacks-Based Measure (SBM) method, the research explores the progress of green development in the mining sector across 21 Chinese regions from 2005 to 2022. The Malmquist index examines the changing trends and internal efficiency of green development in mining. The outcomes suggest that productivity levels decreased initially in most provinces before improving over time. The efficiency of the overall process is closely linked to the enhancement of ecological efficiency, which is a direct outcome of adopting sustainable mining practices. Disparities in the pace and extent of environmentally friendly economic development are evident among provinces, with some experiencing annual development rates exceeding 25 %. Eastern regions like Hubei, Fujian, and Shandong show promising trends and opportunities. However, challenges persist in the Northeast and Xinjiang provinces, where inefficiencies may be recognized in several sub-processes
ECG Arrhythmia classification using Deep Convolution Neural Networks in Transfer Learning
No full textElectrocardiogram (ECG) is a health monitoring test which assists clinicians to detect abnormal cardiac activity based on heart’s electrical activity. Early classification of ECG signals is important towards the possible treatment measures for the patients. In principle ECG is a time series signal as a result of heart’s electrical activity. Various methods have been devised to apply Machine learning algorithms for the classification of these time series signals. These methods require feature extraction which in turn pose problems such as inconsistency in the extracted features as well as variability found in the ECG features. Deep learning methods such as algorithms based on Convolution Neural Networks (CNN) can be used to avoid manual crafting of features from ECG signals. Due to the large amount of ECG data and the complexity of CNNs, GPU processing is often required in order to train and test the models quickly. Google Colab provides a free tier with limited memory space for implementing complex and deep neural networks. Also, already trained network on some other data can be used to learn common features for new data and modified to produce desired results. Among many, Res-Net-50 and VGG-16 are well-known models being used for transfer learning.
In this project study ECG data is acquired from MIT-BIH Arrhythmia database. Using wave form database (wfdb) library in Python ECG signals were studied and observations were made for different characteristics and data variations. QRS detection was performed by locating the R peaks in ECG strips based on the annotation files for individual records. Segmented one dimensional data was converted to images for deep neural network training via CNN. Multi-layer CNN, ResNet-50 and VGG-16 were used for deep convolution and transfer learning and the computing was performed in Google Colab environment. Accuracies of 83 % via ResNet-50 and 99 % via VGG-16 were achieved using two dimensional ECG data. Higher accuracy with VGG-16 proves that Transfer learning can be applied for ECG arrhythmia classification
The Complete Muhammad Ali
No full textIncluding material and photographs not included in most of the 100 other books about the champion, Ishmael Reed's The Complete Muhammad Ali is more than just a biography-it is a fascinating portrait of the 20th century and the beginning of the 21st. An honest, balanced portrayal of Ali, the book includes voices that have been omitted from other books. It charts Ali's evolution from Black Nationalism to a universalism, but does not discount the Nation of Islam and Black Nationalism's important influence on his intellectual development. Filipino American author Emil Guillermo speaks about how "The Thrilla' In Manila" brought the Philippines into the 20th century. Fans of Muhammad Ali, boxing fans, and those interested in modern African American history and the Nation of Islam will be fascinated by this biography by an accomplished American author.Intro -- DEDICATION -- INTRODUCTION -- The Curious History of an Icon -- CHAPTER 1 -- CHAPTER 2 -- CHAPTER 3 -- CHAPTER 4 -- CHAPTER 5 -- CHAPTER 6 -- CHAPTER 7 -- Did the Secret Government Fear a U.S. Muslim/Overseas Muslim Alliance? -- CHAPTER 8 -- CHAPTER 9 -- The Break Between the Prophet and his Disciple -- CHAPTER 10 -- CHAPTER 11 -- CHAPTER 12 -- The GOAT (Greatest Of All Time): Ali or Louis? -- CHAPTER 13 -- The Nation of Islam, the Mob, Showdowns in Canada and Sonny Liston -- CHAPTER 14 -- CHAPTER 15 -- The Taunts: Marketing or Racism? -- CHAPTER 16 -- CHAPTER 17 -- CHAPTER 18 -- CHAPTER 19 -- Boxing and the Brain -- CHAPTER 20 -- Ali's Feet -- CHAPTER 21 -- Mr. Dick -- CHAPTER 22 -- CHAPTER 23 -- The Opening Ceremonies, November 2005 -- CHAPTER 24 -- December 2005, Las Vegas -- CHAPTER 25 -- CHAPTER 26 -- June 16, 2004 -- CHAPTER 27 -- CHAPTER 28 -- CHAPTER 29 -- Aix-en-Provence -- CHAPTER 30 -- Ali as a Black Nationalist -- San Francisco, January 2004 Black Liberation Book Fair -- CHAPTER 31 -- January 31, 2004 -- CHAPTER 32 -- October 2005, Chicago -- CHAPTER 33 -- Why Ali remained with Elijah instead of following Malcolm -- CHAPTER 34 -- CHAPTER 35 -- February 4, 2006, Oakland, California -- CHAPTER 36 -- Like Zeus Descending from Mount Olympus -- CHAPTER 37 -- CHAPTER 38 -- Tuesday, February 28, 2006, New York -- CHAPTER 39 -- Bigger Than Boxing -- CHAPTER 40 -- Tribes Gallery, New York, April 2006 -- CHAPTER 41 -- June 2006, Louisville, Kentucky -- CHAPTER 42 -- CHAPTER 43 -- CHAPTER 45 -- Bad Company -- CHAPTER 46 -- Coxson, A Very Charming Rogue -- CHAPTER 47 -- Ali and the largest embezzlement scheme in Wells Fargo history -- CHAPTER 48 -- CHAPTER 49 -- "Lonnie is a stabilizing force."-Harry Belafonte -- October 29, 2006 -- CHAPTER 50 -- Abdul Rahman -- CHAPTER 51 -- CHAPTER 52 -- CHAPTER 53How Will Ali Be Remembered? New York, January 8, 2005 -- CHAPTER 54 -- CONCLUSION -- AFTERWORD -- Boxers' Rights? -- BIBLIOGRAPHY -- MUHAMMAD ALI -- ISLAM AND NATION OF ISLAM -- BOXING -- RELATED SUBJECTS -- ALSO AVAILABLE FROM BARAKA BOOKSIncluding material and photographs not included in most of the 100 other books about the champion, Ishmael Reed's The Complete Muhammad Ali is more than just a biography-it is a fascinating portrait of the 20th century and the beginning of the 21st. An honest, balanced portrayal of Ali, the book includes voices that have been omitted from other books. It charts Ali's evolution from Black Nationalism to a universalism, but does not discount the Nation of Islam and Black Nationalism's important influence on his intellectual development. Filipino American author Emil Guillermo speaks about how "The Thrilla' In Manila" brought the Philippines into the 20th century. Fans of Muhammad Ali, boxing fans, and those interested in modern African American history and the Nation of Islam will be fascinated by this biography by an accomplished American author.Description based on publisher supplied metadata and other sources.Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, YYYY. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries
Intermittent asynchronous peripheral operations
No full textEnergy harvesting enables battery-less sensing applications, but causes executions to become intermittent as a result of erratic energy provisioning. Intermittent executions pose challenges to peripheral consistency that threaten to leave peripheral-bound workloads in failed states or to impede forward progress of programs. Intermittent synchronous peripheral operations are supported in existing literature for specific kinds of peripherals. Asynchronous peripheral operations enable reactive concurrency in application implementations, which increases reactivity and improves energy consumption, but lack dedicated support in intermittent settings. We present Karma, the first general abstraction and system design to support both synchronous and asynchronous operations in an intermittent setting. Karma employs a novel combination of pe- ripheral roll-forward and computation roll-back to a rendezvous point guaranteeing consistency. It remains transparent to application programmers and peripheral driver, which favours portability. Our evaluation, based on three applications running on prototype hardware and using diverse energy sources, indicates that intermit- tent asynchronous peripheral support provided by Karma boosts data throughput by 83% compared to existing literature
Antinociceptive and anti-inflammatory potential of Rhododendron arboreum bark
No full textRhododendron arboreum Smith. (Ericaceae), an evergreen small tree, is one of the 1000 species that belongs to genus Rhododendron distributed worldwide. In folk medicine, as various parts of this plant exhibit medicinal properties, it is used in the treatment of different ailments.The present study was designed to evaluate the potential anti-inflammatory and antinociceptive effects of methanolic extract of R. arboreum bark, followed by activity-guided fractionation of n-hexane, n-butanol, chloroform, ethyl acetate and aqueous fractions.The ethyl acetate fraction (200 mg/kg i.p.) showed the maximum analgesic effect (82%) in acetic acid-induced writhing, followed, to a less extent, by crude extract and chloroform fraction both at a dose of 200 mg/kg i.p. (65.09% and 67.89%, respectively). In carrageenan-induced mouse paw oedema, the crude extract and its related fractions displayed in a dose-dependent manner (50-200 mg/kg i.p.) an anti-inflammatory activity for all time-courses (1-5 hrs). For the active extract/fractions (200 mg/kg i.p.), the maximum effect was observed 5 h after carrageenan injection. These evidences were also supported by in vitro lipoxygenase inhibitory properties. In conclusion, R. arboreum crude methanolic extract and its fractions exhibited anti-inflammatory and antinociceptive effects. For these reasons, this plant could be a promising source of new compounds for the management of pain and inflammatory diseases
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