Search results for "Muhammad Asim"
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Principles of State and Government in Islam
This title is part of UC Press's Voices Revived program, which commemorates University of California Press’s mission to seek out and cultivate the brightest minds and give them voice, reach, and impact. Drawing on a backlist dating to 1893, Voices Revived makes high-quality, peer-reviewed scholarship accessible once again using print-on-demand technology. This title was originally published in 1961.
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Principles of State and Government in Islam
This title is part of UC Press's Voices Revived program, which commemorates University of California Press’s mission to seek out and cultivate the brightest minds and give them voice, reach, and impact. Drawing on a backlist dating to 1893, Voices Revived makes high-quality, peer-reviewed scholarship accessible once again using print-on-demand technology. This title was originally published in 1961.
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Artificial Intelligence for Molecular Biology
The integration of artificial intelligence (AI) into molecular biology has brought about a paradigm shift, enabling researchers to tackle some of the most challenging problems in life sciences. This second volume builds upon the foundational principles explored in Volume I, delving into advanced AI methodologies and their applications in understanding biological sequences at a granular level. From word embeddings to language models, this volume examines the state-of-the-art techniques driving progress in molecular biology. The chapters in this volume are structured to provide an in-depth exploration of AI methods and their transformative impact on DNA, RNA, protein, and peptide analysis: Word Embedding Methods: This chapter explores the evolution of word embedding techniques, including foundational models like Word2Vec, FastText, and GloVe, as well as advanced graph-based embeddings such as DeepWalk, Node2Vec, and Struc2Vec. These embeddings have revolutionized sequence representation, providing powerful tools for analyzing biological data.Large Language Models: Language models have reshaped the landscape of computational biology. This chapter examines models like ULMFiT, BERT, and cutting-edge tools like AlphaFold and RNAFormer, which have set new benchmarks in structure prediction and sequence analysis.AI-Driven Insights into DNA Sequence Analysis Landscape: AI has unlocked new possibilities in DNA analysis. This chapter reviews methodologies, datasets, and predictive pipelines, offering insights into the performance and distribution of research across various benchmarks.AI-Driven Insights into RNA Sequence Analysis Landscape: RNA, with its unique roles and complexities, benefits significantly from AI approaches. This chapter investigates datasets, predictive pipelines, and performance metrics specific to RNA analysis.AI-Driven Insights into Protein Sequence Analysis Landscape: Proteins, central to numerous biological processes, are analyzed using AI-driven techniques. This chapter discusses embedding-based and language model-based methods, as well as the resources and benchmarks available for protein analysis.AI-Driven Revolution in Peptide Classification Landscape: Peptides, due to their diverse biological roles, pose unique challenges. This chapter provides a thorough examination of peptide classification, exploring AI methodologies, datasets, evaluation strategies, and the state-of-the-art performance of predictive models. Volume II provides a detailed narrative of how advanced AI methodologies are transforming the study of molecular biology. Each chapter bridges the gap between theoretical advancements and practical applications, equipping researchers and practitioners with the knowledge needed to drive innovation in this interdisciplinary field.
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Ankylosing Spondylitis
Ankylosing Spondylitis (AS) and related diseases called spondyloarthropathies (SpA) are the second most common form of chronic inflammatory arthritis after Rheumatoid Arthritis (RA). Unfortunately, most patients with AS and SpA are either never diagnosed or inadequately treated. The current mean delay in the diagnosis of AS ranges from 5 to 10 years, and the presenting clinical manifestations of these diseases are wide-ranging and heterogeneous, and thus a variety ofhealth care professionals see AS and SpA patients, from primary care physicians to rheumatologists and other medical and surgical specialists.With the availability of newer, highly effective treatments and better methods of musculoskeletal imaging, such as the MRI, there is an urgent need to improve early diagnosis and reduce any inappropriate delay in obtaining effective treatment. Earlier diagnosis and treatment can mitigate the severity of the disease, and make a meaningful difference for patient care and quality of life. The proposed book is designed for specialists and generalists alike and intended to help expedite accuratediagnoses and initiation of appropriate treatment to alleviate unnecessary suffering.Part of the new Oxford American Rheumatology Library series, this pocket-sized book provides practical, evidence-based information for clinicians to aid diagnosis, treatment and follow-up care for patients with AS and SpA. The book describes pointers to early diagnosis, prognosis, clinical manifestations, socioeconomic aspects, and disease management. It also provides comprehensive coverage of current treatment options, including the latest biologics, as well as non-drugtherapies.
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Artificial Intelligence for Molecular Biology
Molecular biology is at the forefront of scientific discovery, unraveling the intricacies of life at the most fundamental level. As biological systems become increasingly complex and data-rich, artificial intelligence (AI) has emerged as a pivotal tool for unlocking new insights and enhancing our understanding of these systems. This first volume focuses on the core principles of molecular biology while introducing AI-driven approaches to genomic and proteomic sequence analysis. It serves as a foundation for integrating computational methodologies into the study of biological systems. The chapters in this volume are structured to provide a comprehensive overview of the essential concepts, tools, and methodologies in molecular biology, enriched by the latest advancements in AI: Fundamentals of Molecular Biology: This chapter delves into the foundational elements of molecular biology, exploring the central dogma, gene expression regulation, cellular organization, and the evolution of genome studies. It also highlights the role of computational biology in complementing traditional experimental techniques.DNA, RNA, & Protein Structures: Understanding the structural intricacies of DNA, RNA, and proteins is crucial for comprehending their functions. This chapter outlines their fundamental properties and sets the stage for discussing AI-driven sequence analysis.Exploration of AI-Driven Genomic and Proteomic Sequence Analysis Landscape: This section provides an in-depth look at how AI is reshaping the field of sequence analysis. Topics include representation learning, feature engineering, predictive modeling, and an evaluation of performance metrics for AI-driven pipelines.Insights of Biological Databases: Biological data is the backbone of molecular biology research. This chapter discusses the structure, organization, and utilization of key databases, emphasizing data formats, redundancy issues, and retrieval systems.DNA & RNA Sequence Representation Learning Methods: Representing nucleotide sequences in ways that AI models can process effectively is a critical challenge. This chapter explores various encoding methods, from nucleotide distributions to Fourier transformations, providing a robust toolkit for researchers.Protein Sequence Representation Learning Methods: Similar to nucleic acid sequences, encoding protein sequences requires sophisticated techniques. This section details diverse methodologies, including physicochemical properties, z-scales, and context-aware encodings.CRISPR System and AI Applications: CRISPR technology has revolutionized genetic editing, and AI is accelerating its potential. This chapter examines AI-driven approaches to CRISPR-related tasks, from predictive modeling to dataset development, emphasizing the synergy between these transformative technologies. Through this volume, readers will gain a solid understanding of molecular biology and its convergence with AI. The interdisciplinary approach ensures that the biological c
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Muhammad
That Muhammad succeeded as a prophet is undeniable; a prominent military historian now suggests that he might not have done so had he not also been a great soldier. Best known as the founder of a major religion, Muhammad was also Islam’s first great general. While there have been numerous accounts of Muhammad the Prophet, this is the first military biography of the man.In Muhammad: Islam’s First Great General, Richard A. Gabriel shows us a warrior never before seen in antiquity-a leader of an all-new religious movement who in a single decade fought eight major battles, led eighteen raids, and planned thirty-eight other military operations. Gabriel’s study portrays Muhammad as a revolutionary who introduced military innovations that transformed armies and warfare throughout the Arab world.Gabriel analyzes the environment in which Muhammad lived and the religion he inspired as they relate to his military achievements. Gabriel explains how Muhammad changed the social composition of Arab armies by replacing traditional ways of fighting with a new command structure.Muhammad’s transformation of Arab warfare enabled his successors to establish the core of the Islamic empire-an accomplishment that, Gabriel argues, would have been militarily impossible without Muhammad’s innovations. Richard A. Gabriel challenges existing scholarship on Muhammad’s place in history and offers a viewpoint not previously attempted.
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Muhammad
Born into the factious world of war-torn Arabia, Muhammad's life is a gripping and inspiring story of one man's tireless fight for unity and peace. In a world where greed and injustice ruled, Muhammad created change by affecting hearts and minds. Just as the story of Jesus embodies the message of Christianity, Muhammad's life reveals the core of Islam. Deepak Chopra shares the life of Muhammad as never before, putting his teachings in a new light. Following the historical record but offering a unique perspective, Chopra's "Muhammad" captures the historical prophet but more importantly show us why his teachings are more important now than ever before.
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Islamic Syncretistic Tradition in Bengal
Asim Roy argues that Islam in Bengal was not a corruption of the "real" Middle Eastern Islam, as nineteenth-century reformers claimed, but a valid historical religion developed in an area totally different from the Middle East. Originally published in 1984. The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.
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?ad?th As Scripture
This work explores the earliest extant discussions on the authority of the Hadith in Islam and compares them with contemporary debates. These lively and often polemical debates are mostly popular discussions in which Muslims from different backgrounds and cultures participate - making this topic relevant to Muslims in their daily lives, as well as a question of academic interest. What makes this book unique is that it is the first study to take into account both the earliest and most recent discussions of the oral tradition of the prophet Muhammad. The book also includes the first Western language translation of al-Shafi'i's Kitab Jima' al-'Ilm, which articulates arguments that were critical in establishing the position of the Hadith in mainstream Islam.
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