Faculty of Engineering
Faculty of Engineering
Level 2- Technical Report Writing (MPE 112)
Answer Sheet (16)
Abstracts
1. Write an abstract for:
sustainable concrete: cement replacement using Egyptian cornstalk ash
Make sure your abstract follows the best practice guidance:
• Answer the key questions of ‘how’, ‘why’ and ‘so what?’
• Write concisely
• Use a coherent structure
Answer:
The environmental impact of cement production has fostered several attempts
for cement replacement within the concrete industry especially using
agricultural wastes. More specifically, several agricultural waste ashes have
shown good pozzolanic reaction that works in favor of concrete production. On
the other side, cornstalk is considered one of the widely available bi-products in
Egypt that produces heavy pollution from its dumping. However, limited
research has been presented on the applicability of using cornstalk ash as cement
replacement for concrete production. As such, this study investigates the
feasibility of producing cornstalk ash from the Egyptian stock and its
applicability as a partial replacement for cement in concrete production. Three
different cement replacement ratios (by weight) have been tested, 5, 10, and
15%, and the results of fresh (workability) and hardened (compressive, flexural,
and splitting strength) properties are reported. Moreover, the influence of
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Faculty of Engineering
Faculty of Engineering
Level 2- Technical Report Writing (MPE 112)
changing the cement grade along with the cornstalk ash replacement on the
short- and long-term compressive strength has been investigated. Finally, the
impact of using cornstalk ash as cement replacement on permeability has been
investigated as an indication of the expected durability behavior. The presented
work is considered a gate opener for sustainable applications of different
agricultural wastes produced in Egypt.
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Faculty of Engineering
Faculty of Engineering
Level 2- Technical Report Writing (MPE 112)
2. Write an abstract for:
Managing microclimate challenges for museum buildings in Egypt.
Make sure your abstract follows the best practice guidance:
• Answer the key questions of ‘how’, ‘why’ and ‘so what?’
• Write concisely
• Use a coherent structure
Answer:
Global challenges of climate change, environmental control, and energy
conservation are persisting. In museum buildings, facing these challenges is
prominent to achieve the sustainability of our cultural heritage. Controlling the
microclimate of the indoor environment in exhibitions where artifacts are
conserved, stored, and exhibited is a critical challenge that faces museums not
only in Egypt but worldwide as well. This paper aims to analyze the main
operational practices for rational environmental control that consider
preservation and conservation requirements. To achieve the objective of this
paper, a literature review of recent papers discussing this problem has been
performed and analyzed. Then, a survey was conducted to analyze the operation
practices in museums in Egypt. At last, environmental assessment criteria were
suggested to manage the museum's indoor environment to conserve energy and
preserve artifacts. The findings of this paper could guide those involved in
decision-making and setting legislations in Egyptian museums.
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Faculty of Engineering
Faculty of Engineering
Level 2- Technical Report Writing (MPE 112)
3. Write an abstract for a review paper in the field of:
Artificial Intelligence in Cardiology
Make sure your abstract follows the best practice guidance:
• Answer the key question of ‘how’, ‘why’ and ‘so what?’
• Write concisely
• Use a coherent structure
Answer:
Artificial intelligence and machine learning are poised to influence nearly every
aspect of the human condition, and cardiology is not an exception to this trend.
This paper provides a guide for clinicians on relevant aspects of artificial
intelligence and machine learning, reviews selected applications of these
methods in cardiology to date, and identifies how cardiovascular medicine could
incorporate artificial intelligence in the future. In particular, the paper first
reviews predictive modeling concepts relevant to cardiology such as feature
selection and frequent pitfalls such as improper dichotomization. Second, it
discusses common algorithms used in supervised learning and reviews selected
applications in cardiology and related disciplines. Third, it describes the advent
of deep learning and related methods collectively called unsupervised learning,
provides contextual examples both in general medicine and cardiovascular
medicine, and then explains how these methods could be applied to enable
precision cardiology and improve patient outcomes
With our best wishes,
Assoc. Prof. Hatem Khater
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Dr. Mohammed Kamal