ORCID Profile
0000-0002-7057-3475
Current Organisations
Eastern Virginia Medical School
,
Universiti Sains Malaysia
,
University of Adelaide
,
Trusted Autonomous Systems Defence CRC
,
Griffith University Griffith Sciences
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Publisher: TuEngr Group
Date: 2019
Publisher: Elsevier BV
Date: 09-2020
Publisher: WITPRESS LTD.
Date: 15-01-2017
Publisher: Springer International Publishing
Date: 2021
Publisher: TuEngr Group
Date: 2019
Publisher: Elsevier BV
Date: 09-2013
DOI: 10.1016/J.PBIOMOLBIO.2013.03.015
Abstract: Structural modeling of complex biological systems relies on formalisms inherited from physics. These formalisms scale poorly when dealing with interactions with many variables and agents working in systems that cohere at multiple layers. We propose a two sorted logic that supplements existing formalisms to mitigate these problems. The purpose of this second logic is to track how multiple contexts relate to each other, as well as to the dependent structures they inform: a situating of situations. In this way, we aim to capture the multi-layered and multi-system dynamics that have been elusive in modeling emergent systems. An apoptosis ex le is explored in the context of mental concepts.
Publisher: IGI Global
Date: 2014
DOI: 10.4018/978-1-4666-5142-5.CH013
Abstract: Studies show that enterprises are severely constrained by their management structures, and that those constraints become more vexing as information technologies are adopted. This is more true as “interoperability engineering” advances the enterprise is capable of doing simple, ordinary things better, but the form of the enterprise becomes less adaptive, less agile as external firms are integrated in using lowest common denominator standards. The net result is that we are worse off now because of the constraints of integration decisions. A radical advance is required, one based on breakthroughs in the underlying science used by enterprise engineers. This chapter indicates one advanced form of enterprise that current research could make possible and uses it to illustrate desired enterprise engineering tools. It then suggests an agenda for fundamental research to support those goals.
Publisher: Emerald
Date: 21-02-2022
DOI: 10.1108/IJBPA-05-2021-0080
Abstract: The study's main objective is to evaluate the morphological developments in the characteristics of the spatial configurations of the residential layouts in Kerman, Iran, in examining the impact on the level of visual privacy through the spectrum of permeability and wayfinding in space syntax analysis. In this paper, plan graph analysis is used to measure the syntactic properties of seven topological residential architecture plans in Kerman, Iran, built from the 1970s to 2010s. The methodology involves the development of mathematical measurements to signify permeability and simulation of visibility graph analysis (VGA) to indicate wayfinding. The findings reveal the residential layouts of Iranian houses tend to be less integrated over decades of design development from the 1970s to 2010s. Reduction in spatial integration corresponds to increase segregation allowing for enhanced visual privacy. The study underpins that, even with the constraints in the scale of the house and reduction in the number of nodes, as evident in the design of the modern residential layout, the efficient level of visual privacy is still achievable with regards to the standards demanded by the local culture. The study examines the development in residential spatial configuration and building scale on visual privacy through a proposed methodology based on the level of permeability and wayfinding measured as a combined effect using the space syntax analysis and visual accessibility.
Publisher: Emerald
Date: 22-12-2021
DOI: 10.1108/IJBPA-08-2020-0072
Abstract: Since the appearance of COVID-19 social distancing and staying home have been recommended repeatedly by the governments for disease prevention. As the challenge continues to remain the current study seeks to examine the factors affecting social distancing through space planning and management. More specifically the current study aims to examine the appropriateness of the spatial organization and space configuration of a clubhouse with a linear plan layout in the mitigation of the spread of infections due to serious pandemic COVID-19. For an enhanced understanding of the impact of spatial arrangements of public spaces plan on the effective implementation of social distancing this study has used the space syntax analysis method. The MPSP clubhouse building in Penang, Malaysia was selected as the case study. The level of permeability and wayfinding were determined in the building plan and were illustrated using photoshop software to depict the interrelation between the indoor spaces and building circulation. Graphs of the depth of space were used to analyze the level of permeability and wayfinding to illustrate the possibility of social distancing in the plan. The result of the study shows the significant role of proper plan layout design on social distancing. While clear and direct wayfinding can positively be associated with more effective social distancing, the inefficient design of user access, inappropriate locations of multiple entry and exit and indefinite directions of users' inside buildings can impose slight limitations. The average level of permeability might suggest ineffective spatial arrangement, ignoring the needs of spatial segregation. The study further found that the linear plan layouts with proper zoning and effective management strategies can be considered a proper layout to facilitate social distancing and the spread of COVID-19. The current study is unique in terms of examination of the spatial configuration of linear public spaces plan layout for possible temporary adaptability to curb disease spread during the unexpected advent of a pandemic. Based on researchers' best of knowledge it is the first time that the impact of recreational space design on social distancing has been examined. The study also originally sheds light on the fact that the commonly used guideline for the social distancing of 1–2 m between 2 persons, in reality, is practically inadequate given the nature of the sports activities.
Publisher: Elsevier
Date: 2020
Publisher: Elsevier BV
Date: 12-2015
DOI: 10.1016/J.PBIOMOLBIO.2015.07.006
Abstract: We approach a well-known problem: how to relate component physical processes in biological systems to governing imperatives in multiple system levels. The intent is to further practical tools that can be used in the clinical context. An ex le proposes a formal type system that would support this kind of reasoning, including in machines. Our ex le is based on a model of the connection between a quality of mind associated with creativity and neuropsychiatric dynamics: constructing narrative as a form of conscious introspection, which allows the manipulation of one's own driving imperatives. In this context, general creativity is indicated by an ability to manage multiple heterogeneous worldviews simultaneously in a developing narrative. 'Narrative' in this context is framed as the organizing concept behind rational linearization that can be applied to metaphysics as well as modeling perceptive dynamics. Introspection is framed as the phenomenological 'tip' that allows a perceiver to be within experience or outside it, reflecting on and modifying it. What distinguishes the approach is the rooting in well founded but disparate disciplines: phenomenology, ontic virtuality, two-sorted geometric logics, functional reactive programming, multi-level ontologies and narrative cognition. This paper advances the work by proposing a type strategy within a two-sorted reasoning system that supports cross-ontology structure. The paper describes influences on this approach, and presents an ex le that involves phenotype classes and monitored creativity enhanced by both soft methods and transcranial direct-current stimulation. The proposed solution integrates pragmatic phenomenology, situation theory, narratology and functional programming in one framework.
Publisher: Elsevier BV
Date: 12-2017
DOI: 10.1016/J.PBIOMOLBIO.2017.08.014
Abstract: It is difficult to model emergence in biological systems using reductionist paradigms. A requirement for computational modeling is that in idual entities can be recorded parametrically and related logically, but their transformation into whole systems cannot be captured this way. The problem stems from an inability to formally represent the implicit influences that inform emergent organization, such as context, shifts in causal agency or scale, and self-reference. This lack h ers biological systems modeling and its computational counterpart, indicating a need for new fundamental abstraction frameworks that support system-level characteristics. We develop an approach that formally captures these characteristics, focusing on the way they come together to enable transformation at the 'peak' of the emergent process. An ex le from virology is presented, in which two seemingly antagonistic systems - the herpes cold sore virus and its host - are capable of altering their basic biological objectives to achieve a new equilibrium. The usual barriers to modeling this process are overcome by incorporating mechanisms from practices centered on its emergent peak: design and katachi. In the Japanese science of form, katachi refers to the emergence of intrinsic structure from real situations, where an optimal balance between implicit influences is achieved. Design indicates how such optimization is guided by principles of flow. These practices leverage qualities of situated abstraction, which we understand through the intuitive method of physicist Kôdi Husimi. Early results indicate that this approach can capture the functional transformations of biological emergence, whilst being reasonably computable. Due to its geometric foundations and narrative-based extension to logic, the method will also generate speculative predictions. This research forms the foundations of a new biomedical modeling platform, which is discussed.
No related grants have been discovered for Muhammad Hafeez Abdul Nasir.