—Exascale performance will be delivered by systems composed of millions of interconnected computing cores. The way these computing elements are connected with each other (network topology) has a strong impact on many performance characteristics. In this work we propose a multi-objective optimizationbased framework to explore possible network topologies to be implemented in the EU-funded ExaNeSt project. The modular design of this system’s interconnect provides great flexibility to design topologies optimized for specific performance targets such as communications locality, fault tolerance or energyconsumption. The generation procedure of the topologies is formulated as a three- objective optimization problem (minimizing some topological characteristics) where solutions are searched using evolutionary techniques. The analysis of the results, carried out using simulation, shows that the topologies meet the required performance objectives. In addition, a comparison with a wellknown topology reveals that the generated solutions can provide better topological characteristics and also higher performance for parallel applications.

Daniel R. Marquez, Alexander W. Reed, Emily J.. "Optimizing Exascale Interconnects through Multi-objective Optimization Strategies." Computer Engineering, vol. 13, no. 7, pp. 1–9, 2024.

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—Interference Management is a vast topic present in many disciplines. The majority of wireless standards suffer the drawback of interference intrusion and the network efficiency drop due to that. Traditionally, interference management has been addressed by proposing signal processing techniques that minimize their effects locally. However, the fast evolution of future communications makes difficult to adapt to new era. In this paper we propose the use of Deep Learning techniques to present a compact system for interference management. In particular, we describe two subsystems capable to detect the presence of interference, even in high Signal to Interference Ratio (SIR), and interference classification in several radio standards. Finally, we present results based on real signals captured from terrestrial and satellite networks and the conclusions unveil the courageous future of AI and wireless communications. Index Terms—Artificial Intelligence, Deep Learning, Interference Management, Satellite Communications, Terrestrial Networks

the well-known cellular standards; namely, LTE, UMTS and. "Enhanced Artificial Intelligence for Integrated Terrestrial and Satellite Interference Mitigation Strategies." Computer Engineering, vol. 13, no. 7, pp. 10–15, 2024.

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This study is intent ended to investigate the standard performance physical fitness components to assess the relation with Hockey female playing performance. The data was collected from 82 female players of national level representation of Andhra Pradesh state were selected for this study. The age group of the subjects were ranged from 18 years to 20 years. The standard performance physical fitness components were Cardiovascular Endurance (600 yard dash), Speed (50Mts Sprint), Agility (Illinois Agility), Passive flexibility (Bridge Up), Accuracy (Accuracy test), Reaction ability (Nelson hand reaction), Dynamic balance (Balance), Hand explosive strength (Medicine ball put). The data was analysis done using the Pearson’s Product Moment Correlation was set at 0.05 level of significance. The findings discovered that a significant relationship on hockey performance ability indicate that there was significant relationship was coefficient of correlations of Cardiovascular Endurance (0.283), Speed (0.526), Agility (0.268), Passive flexibility (0.263), Accuracy (0.463), Reaction ability (0.295), Dynamic balance (0.253), and Hand explosive strength 0.397) had positive and significant correlations with playing ability of hockey players at 5% level. Other components of physical fitness, i.e. muscular strength (-0.104), muscular endurance (-0.14), muscular power (-0.061), Computer Engineering ISSN: 10003428 Volume 13 | Issue 7 | Year 2024 https://journalofcomputerengineering.com/ © 2024 Computer Engineering. All Rights Reserved. Page 16 endurance (0.123) and Active flexibility (0.169) have no significant correlation with playing ability of hockey players. It suggests that Cardiovascular Endurance (0.183), Speed (0.526), Agility (0.268), Passive flexibility (0.263), Accuracy (0.463), Reaction ability (0.295), Dynamic balance (0.253), Hand explosive strength (0.397) have inverse relations with playing performance ability of hockey players.

S. Srinivasan and R. Kumar. "Examining the Correlation Between Physical Fitness Components and Hockey Playing Ability." Computer Engineering, vol. 13, no. 7, pp. 16–22, 2024.

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: The ongoing digital transformation is bringing a pervasive diffusion of ultra-broadband, fixed-mobile connectivity, the deployment of cloud-native Fifth Generation (5G) infrastructures, edge and fog computing and a wide adoption of artificial intelligence. This transformation will have far-reaching techno-economic impacts on our society and industry. Nevertheless, this transformation is still laying its foundation in electronics and the impending end of Moore’s law. Therefore, looking at the future, a rethinking of the ways of doing computations and communications has already started. An extended adoption of quantum technologies is one possible direction of innovation. As a matter of fact, a first quantum revolution, started decades ago, has already brought quantum technologies into our daily lives. Indeed, today, a second revolution seems to be underway, exploiting advancements in the ability to detect and manipulate single quantum objects (e.g., photons, electrons, atoms and molecules). Among the different technological approaches, topological photonics is a rapidly growing field of innovation. Drawing inspiration from the discovery of the quantum Hall effect and topological insulators in condensed matter, recent advances in topological photonics hold a promising opportunity for optical networking and quantum computing applications.

Leonardo Bianchi and Sofia Rodriguez. "Theoretical Advancements in Topological Photonics for Quantum Computing and Optical Networks." Computer Engineering, vol. 13, no. 7, pp. 23–34, 2024.

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When designing a curriculum, engineering academics have a number of influencers shaping the process including student expectations, accrediting body requirements and the needs of employers in filling often very diverse graduate roles. They also consider modes of teaching which often balance best practice and resource constraints. Feedback from accreditation visits, module questionnaires and industrial advisory boards help iterate and revise the curriculum, etc. and while these are useful, they may often be indirect or inappropriate measures of the effectiveness of our programmes in the workplace. An area the sector in general has less hard information on are reflections of graduates on specific elements of their undergraduate learning experience once in industry. The survey presented here is part of a wider mixed methods approach which will also involve initial destination data and interviews with graduates. The work presented here is based on a survey of selected graduates from a particular degree family over the past decade. The curriculum has been broken down into five areas typical of many degrees; traditional engineering science, applied engineering skills (eg. CAD, Quality), internship, group design build and test projects and their individual thesis project with graduates asked to reflect on the impact and value of each of these on their subsequent working life as a graduate engineer.

Elena Vasquez, Maria Rodriguez. "Exploring Graduate Perspectives on Curricula Design in Engineering Education." Computer Engineering, vol. 13, no. 7, pp. 35–44, 2024.

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The paper entitled " Student Course Satisfaction in Learning Management System" is based on one-cycle technical action research methodology. It aimed to enhance students learning participation in LMS. The participants for this study were 26 students studying Mathematics and English education at ODEC, TU. Tools used in the study were baseline, and end-line survey on (a) students course satisfaction on LMS and (b) students perception on usefulness of four pedagogical tools in LMS: content tools, communication tools, feedback tools, and assessment tools. The reliability and validity of the tools were established by Cronbach alpha and principal component factor analysis. The data in the study were collected through an online Google form before and after AR intervention. The collected data were analyzed using inferential statistics t-test for significance test. Based on the result, this study found that students were more satisfied from LMS when it is re-designed according to AR intervention for engaged and interactive pedagogical tools: content tools, communication, and interaction tools, feedback and support tools. However, assessment tools were found to re-design in the next cycle. The study also found that math students were more satisfied from LMS than English students. Boys students were more satisfied in LMS than Girl students. However, the reasons need to the explorer in the next cycle. From the study, it is concluded that LMS itself is not a sufficient tool to enhance students learning participation, but it needs to design with pedagogical thoughtfulness while implementing an online learning environment. So, creating an engaged and interactive learning environment helps to increase student's course satisfaction in LMS. As a teacher cum researcher, it is learned that LMS should design to maintain a reciprocal relationship between teacher, student, and learning content.

Rohan Kumar Shrestha, Sushma Devi Bista. "Exploring Student Course Satisfaction in Online Learning Environments." Computer Engineering, vol. 13, no. 7, pp. 45–52, 2024.

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: Over the last few years, we have witnessed an impressive growth of data traffic and a progressive Digital Transformation of Industry and Society: the deployment of the ultra- broadband and low latency network infrastructures (e.g., 5G) are leading to a global digitalization of several domains. These techno-economic trends are expected to continue and even accelerate in the next decade, at end of which, 6G and smart networks and services will be exploited. Innovation will continue to drive the global economy into the next decade. This paper draws some technology trends and applications scenarios for this horizon, where Quantum Optical Communications are likely to disrupt Information and Communications Technology (ICT) and Telecommunications. Among the enabling technologies and solutions moving in this direction, this paper briefly addresses: quantum optical switching and computing, THz-to-optical conversions and advanced metamaterials for smart radio-optical programmable environments and Artificial Intelligence. The paper concludes with the description of a future application scenario, called Quantum Optical Twin, where the above Quantum Optical Communications technologies are exploited to provide services such as: ultra-massive scale communications for connected spaces and ambient intelligence, holographic telepresence, tactile Internet, new paradigms of brain computer interactions, innovative forms of communications.

Elena Vasquez, Leonardo Marquez. "Advancing Quantum Communications for Next- Generation Networks and Services." Computer Engineering, vol. 13, no. 7, pp. 53–66, 2024.

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Pseudomonas aeruginosa is a bacterium of considerable medical relevance as it is known for its multidrug resistance, intrinsic antibiotic resistance, and for causing nosocomial infections .Nonetheless, the proteins, and derivatives of which it produces, show great promises for their antitumor activity. The aim of this study is to isolate, extract, and identify the anticancer agent gene Azurin from the bacteria Pseudomonas aeruginosa for future downstream processes. Pseudomonas aeruginosa bacterial isolates were collected from inpatient and outpatient clinics at Mansoura University Hospitals, and 95 gram-negative bacterial isolates were cultured and incubated at 37 degrees Celsius for 24-48 hours, then 10 strains were selected for their ability to produce azurin then grown on azurin broth media. A gram staining experiment was then performed on those isolates, as well as a variety of different biochemical characterization tests. Molecular characterization was then performed on the Pseudomonas aeruginosa isolates using SDS-PAGE, PCR was performed using azurinspecific primers, and gel electrophoresis was performed to visualize the results. Lastly, PCR was performed again using different azurin-specific primers to confirm the presence of the azurin coding gene. The biochemical tests performed on Pseudomonas aeruginosa revealed negative results for the TSI, and gas production tests, but showed positive results for the urease, and citrate tests. The results of the PCR profiles after the confirmatory test showed a single major band at 545bp in all the tested isolates, and standard ATCC 15442 using the azurin-specific primers which proved the presences of the azurin- coding gene in all Pseudomonas aeruginosa local strains, as well as the standard strain. Pseudomonas aeruginosa local strains, and ATCC standard strains were identified for their ability to produce the anticancer agent gene azurin. Computer Engineering ISSN: 10003428 Volume 13 | Issue 7 | Year 2024 https://journalofcomputerengineering.com/ © 2024 Computer Engineering. All Rights Reserved. Page 67

Dr. Amira F. Ragab, Dr. Mohamed S. El-Sayed. "Investigating the Bacterially Derived Anticancer Compound Azurin Isolated from Pseudomonas aeruginosa." Computer Engineering, vol. 13, no. 7, pp. 67–79, 2024.

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This study investigated the effect Concept Mapping-Guided Discovery integrated instructional approach attitude, achievement, and retention of Basic Science students. The simple random sampling procedure was employed to select 73 JSS I students from two public co-education schools in Kaduna South Senatorial District, Kaduna State, Nigeria. The quasi-experimental design was employed for the study. Three research questions guided the study, and three research hypotheses were tested at 0.05 level of significance. Two instruments were used for data collection namely; Basic Science Attitude Questionnaire (BSAQ) and Basic Science Achievement Test (BAT). The reliability of BSAQ was determined using Cronbach Alpha and the coefficient obtained was 0.79 while split half was used to determine the reliability of BAT and the reliability coefficient was found to be 0.85 implying that the instruments were reliable enough for the study. Mean Gain scores were used to answer the research questions while the hypotheses were tested using Analysis of Covariance (ANCOVA). Scheffe’s post- hoc test was used to determine the magnitude of the differences. The findings of the study revealed that significant differences were found in the interest and retention of students taught using Concept MappingGuided Discovery integrated instructional approach and the Conventional Demonstration Method.

Olivia A. Thompson and Dr. Ethan M. Reyes. "Assessing the Impact of Concept Mapping-Guided Discovery Learning on Basic Science Student Outcomes." Computer Engineering, vol. 13, no. 7, pp. 80–90, 2024.

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