3,357 research outputs found
Khan of Asad Pasha al Azm
Khan Asad Pasha is an important monument in the walled city of Damascus, within the Bzouriyyeh Souk. It was built by the governor of Syria, Asad al Azem, in 1752, and has changed hands more than once since. It was being used as a storage space in the heart of a busy commercial area by a large number of shopowners. This use was found incompatible with and detrimental to its many qualities and the Syrian Department of Museums and Antiquities decided to intervene. The two storey structure, which is considered to be unique, is square in plan, with a large, central court surmounted by nine domes. It contains a total of 80 rooms distributed on two levels around the courtyard. A monumental portal allows access to and from the souk. The intervention included the reconstruction of certain structural members, such as the four central pillars of the courtyard, and the domes. The construction is double bearing walls of stone and four central pillars, flat roof combined with brick domes and stone vaults, bricks and plaster mixed with gravel for infill, and alternative courses of white limestone and black basalt on the external façades.
Source: Archnetinterior, view from courtyar
Khan of Asad Pasha al Azm
Khan Asad Pasha is an important monument in the walled city of Damascus, within the Bzouriyyeh Souk. It was built by the governor of Syria, Asad al Azem, in 1752, and has changed hands more than once since. It was being used as a storage space in the heart of a busy commercial area by a large number of shopowners. This use was found incompatible with and detrimental to its many qualities and the Syrian Department of Museums and Antiquities decided to intervene. The two storey structure, which is considered to be unique, is square in plan, with a large, central court surmounted by nine domes. It contains a total of 80 rooms distributed on two levels around the courtyard. A monumental portal allows access to and from the souk. The intervention included the reconstruction of certain structural members, such as the four central pillars of the courtyard, and the domes. The construction is double bearing walls of stone and four central pillars, flat roof combined with brick domes and stone vaults, bricks and plaster mixed with gravel for infill, and alternative courses of white limestone and black basalt on the external façades.
Source: Archnetexterior, portal, 198
Politics and Exhaustion — with Asad Haider
Theorist and author Asad Haider joins Below the Radar to discuss questions he explores in his book, Mistaken Identity: Race and Class in the Age of Trump. Asad discusses how class dynamics cannot be separated from identity-driven movements. As well, he explores ideas of political exhaustion in the tradition of political theorists such as Sylvain Lazarus and Alain Badiou. In this interview, Asad interrogates the role of identity in politics and how it has been taken up in discourse — complicating the relationship between race and class in a context that has been defined by capital interests. Asad and Am discuss theoretical questions around frameworks for political organizing and solidarity across movements. He also speaks to our current moment as one of political exhaustion, where it\u27s difficult to mobilize transformative political change
Radical Harvest: Earth/Care/Reuse
Degree Show Catalogue documenting an ESALA MArch (Modular Pathway) studio ‘Radical Harvest: Earth/Care/Reuse’. Studio Leaders: Simone Ferracina and Asad Khan. 2023-2024
Structure, Genetics and Worldwide Spread of New Delhi Metallo-β-lactamase (NDM): a threat to public health
Background: The emergence of carbapenemase producing bacteria, especially New Delhi metallo-β-lactamase (NDM-1) and its variants, worldwide, has raised amajor public health concern. NDM-1 hydrolyzes a wide range of β-lactam antibiotics, including carbapenems, which are the last resort of antibiotics for the treatment of infections caused by resistant strain of bacteria. Main body: In this review, we have discussed blaNDM-1variants, its genetic analysis including type of specific mutation, origin of country and spread among several type of bacterial species. Wide members of enterobacteriaceae, most commonly Escherichia coli, Klebsiella pneumoniae, Enterobacter cloacae, and gram-negative non-fermenters Pseudomonas spp. and Acinetobacter baumannii were found to carry these markers. Moreover, at least seventeen variants of blaNDM-type gene differing into one or two residues of amino acids at distinct positions have been reported so far among different species of bacteria from different countries. The genetic and structural studies of these variants are important to understand the mechanism of antibiotic hydrolysis as well as to design new molecules with inhibitory activity against antibiotics. Conclusion: This review provides a comprehensive view of structural differences among NDM-1 variants, which are a driving force behind their spread across the globe
Towards defect-free lattice structures in additive manufacturing: A holistic review of machine learning advancements
Additive manufacturing has transformed modern production by enabling the fabrication of complex and lightweight structures, particularly lattice geometries, which are widely used in aerospace, automotive, medical, and energy industries. Renowned for their superior strength-to-weight ratios and energy absorption properties, lattice structures have unlocked new possibilities for weight-critical, high-performance applications. However, their intricate geometries and susceptibility to defects, such as surface roughness, voids, and porosity, pose significant challenges to ensuring mechanical integrity and functional reliability. Traditional methods of defect mitigation, process control and optimization, are often constrained by high computational costs and limited adaptability to complex defect mechanisms. To address these challenges, machine learning (ML) has emerged as a transformative tool, offering data-driven solutions for defect prediction, detection, and minimization. These techniques excel in optimizing designs, tuning process parameters, and enabling real-time adjustments to mitigate defects, thereby enhancing manufacturing outcomes. While numerous studies have explored ML applications in additive manufacturing, current literature lacks a specific focus on its use for defect minimization in lattice structures, which require defect-free fabrication to achieve optimal performance. This review paper fills this critical research gap by investigating the application of advanced ML techniques across key areas: design optimization, properties prediction, process parameter tuning, and defect detection and real-time monitoring for lattice structures. In doing so, it gives a comprehensive outline of lattice structures, the challenges posed by manufacturing defects, and state-of-the-art ML applications in AM. This study paves the way for defect-free lattice structures, maximizing their industrial potential
Erratum to: Fixture layout optimization for multi point respot welding of sheet metals (Journal of Mechanical Science and Technology, (2018), 32, 4, (1749-1760), 10.1007/s12206-018-0331-5)
There is one correction to make to the original article. The affiliation of the 3rd author, Muhammad Asad, was misprinted. The affiliation should be corrected as follows:3Mechanical Engineering Department, Prince Mohammad Bin Fahd University, AlKhobar 31952, Kingdom of Saudi Arabia
Salient Feature Detection for 3D LIDAR Registration
In this paper we propose a novel detection algorithm SKIP-3D (SKeleton Interest Point) for extraction of edges from multi-layer LIDAR scans. SKIP-3D exploits the organization of LIDAR measurements to search silent points in each layer through an iterative bottom-up procedure, removing low curvature points. The edge features from two point clouds are associated and used for their alignment. The experimental results shows that the proposed approach is efficient and reliable.https://youtu.be/4l4ynkzqqr
Radical Harvest: Earth/Care/Reuse, Vol.2
Degree Show Catalogue documenting the first year of a two-year ESALA MArch (Integrated Pathway) studio, ‘Radical Harvest: Earth/Care/Reuse’. Studio Leaders: Simone Ferracina and Asad Khan. 2024-2026
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