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International Conference on Advanced Chemical Engineering (IC-ACE)

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Articles

The Impact of Acute Ingestion of Caffeine Capsules on Muscle Strength and Endurance: A Systematic Review and Meta-Analysis

Weiliang Wu, Zhizhou Chen, Huixuan Zhou, Leiyuyang Wang, Xiang Li, Yuanyuan Lv, Tingting Sun and Laikang Yu

Year: 2021| Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This abstract presents a systematic review and meta-analysis examining the effects of acute ingestion of caffeine capsules on muscle strength and endurance. Caffeine is a widely consumed stimulant known to enhance physical performance, but its specific impact on muscle strength and endurance remains a topic of interest and debate. Through a comprehensive review of existing literature and rigorous meta-analysis techniques, this study aims to provide a conclusive assessment of the effects of caffeine on these key aspects of muscular performance. By synthesizing data from multiple studies, this research offers insights into the magnitude and consistency of caffeine's effects on muscle strength and endurance across various populations and exercise modalities. The findings of this study have implications for athletes, fitness enthusiasts, and healthcare professionals seeking evidence-based guidance on the use of caffeine as an ergogenic aid. Ultimately, this abstract contributes to our understanding of the physiological effects of caffeine ingestion on muscular performance, informing future research directions and practical applications in sports science and exercise physiology.

Developing an ELSA Curriculum for Data Scientists

Maria Christoforaki and Oya Deniz Beyan

Year: 2021| Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This abstract introduces the development of an Ethical, Legal, and Social Aspects (ELSA) curriculum tailored for data scientists. As the field of data science continues to evolve rapidly, there is a growing recognition of the need to integrate ethical, legal, and social considerations into data science education and practice. This paper presents a framework for designing and implementing an ELSA curriculum that equips data scientists with the knowledge and skills necessary to navigate the complex ethical, legal, and societal implications of their work. Through a combination of theoretical analysis and practical examples, this research explores key topics such as data privacy, algorithmic bias, and the responsible use of artificial intelligence. By integrating ELSA principles into data science education, this curriculum aims to foster a more responsible and socially conscious approach to data-driven decision-making. Ultimately, this abstract contributes to the ongoing discourse on ethics in data science and provides a roadmap for developing ELSA competencies among data scientists.

Multi-Time-Scale Optimal Scheduling Strategy for Marine Renewable Energy Using Deep Reinforcement Learning Algorithms

Ren Xu, Fei Lin, Wenyi Shao, Haoran Wang, Fanping Meng and Jun Li

Year: 2021| Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This abstract introduces a novel approach for optimizing scheduling strategies in marine renewable energy systems across multiple time scales, employing deep reinforcement learning algorithms. Marine renewable energy holds promise as a sustainable alternative to traditional fossil fuels, but effective scheduling strategies are critical for maximizing its efficiency and reliability. This paper presents a pioneering framework that leverages deep reinforcement learning to develop optimal scheduling strategies for marine renewable energy systems. By considering multiple time scales, from short-term operational decisions to long-term planning, the proposed approach enables dynamic adaptation to changing environmental conditions and energy demands. Through a combination of theoretical analysis and practical simulations, this research demonstrates the effectiveness and scalability of the deep reinforcement learning-based approach in optimizing energy scheduling for marine renewable energy systems. The findings contribute to the advancement of sustainable energy solutions and underscore the potential of deep reinforcement learning algorithms in addressing complex optimization challenges in renewable energy management.

Applying Deep Electrical-Resistivity Tomography for Medium- and Low-Geothermal Energy Resource Exploration

Cristina Sáez Blázquez, Ignacio Martín Nieto, Javier Carrasco, Pedro Carrasco, Daniel Porras, Miguel Ángel Maté-González, Arturo Farfán Martín and Diego González-Aguilera

Year: 2021| Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This abstract introduces a novel application of deep electrical-resistivity tomography (ERT) techniques for exploring medium- and low-geothermal energy resources. Geothermal energy presents a sustainable and renewable source of power, yet accessing and assessing these resources can be challenging. This paper presents a pioneering approach that leverages deep ERT techniques to investigate subsurface structures and identify potential geothermal energy reservoirs at medium and low depths. By integrating advanced imaging and data processing algorithms, the proposed methodology enables precise characterization of subsurface geological features and thermal gradients associated with geothermal reservoirs. Through a combination of theoretical analysis and practical case studies, this research demonstrates the effectiveness and applicability of deep ERT in geothermal energy exploration. The findings contribute to expanding the toolkit available for geoscientists and energy professionals seeking to harness medium- and low-temperature geothermal resources for sustainable energy production.

Integrating Renewable Energy Systems into Desalination Processes

Revealing the Importance of Multiscale Entropy Evolution in Complex Systems and Data Science: Insights from Mudhar A. Al-Obaidi, Salih Alsadaie, Alanood Alsarayreh, Md. Tanvir Sowgath, and Iqbal M. MujtabaAbstract

Year: 2021| Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This abstract introduces the integration of renewable energy systems into desalination processes, addressing the growing need for sustainable solutions in water production. Desalination, a vital process for providing freshwater in regions facing water scarcity, traditionally relies on energy-intensive methods, leading to environmental concerns and high operational costs. This paper explores the integration of renewable energy sources, such as solar and wind power, into desalination processes to mitigate environmental impact and enhance sustainability. Through a comprehensive analysis of recent advancements and case studies, this research elucidates the benefits, challenges, and potential applications of renewable energy integration in desalination. By harnessing renewable energy, desalination plants can reduce reliance on fossil fuels, lower carbon emissions, and improve long-term cost-effectiveness. Ultimately, this abstract underscore the importance of adopting renewable energy solutions in desalination to address water scarcity challenges while promoting environmental stewardship and economic efficiency.

Assessing Second-Generation Biomass Potential for Bioethanol Production: A Renewable Energy Perspective

Chidiebere Millicent Igwebuike, Sary Awad and Yves Andrès

Year: 2021| Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This abstract delves into the assessment of second-generation biomass potential for bioethanol production, emphasizing the renewable energy perspective. Second-generation biomass, comprising non-food feedstocks such as agricultural residues, forest residues, and energy crops, holds promise as a sustainable source for bioethanol production. This paper presents a comprehensive analysis of the renewable energy potential inherent in second-generation biomass, focusing on its suitability and viability for bioethanol production. Through a synthesis of recent research findings and case studies, this study examines the technical, economic, and environmental aspects of utilizing second-generation biomass for bioethanol production. By evaluating key factors such as feedstock availability, conversion technologies, and sustainability considerations, this research sheds light on the feasibility and challenges associated with harnessing second-generation biomass for renewable energy generation. Ultimately, this abstract underscore the significance of exploring second-generation biomass as a valuable resource for advancing bioethanol production and contributing to sustainable energy transitions.

Demystifying Hubbert’s Model of Resource Exploitation: A Simplified Interpretation

Ugo Bardi and Alessandro Lavacchi

Year: 2021| Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This abstract provides a simplified interpretation of Hubbert's model of resource exploitation, aiming to make it more accessible to a broader audience. Hubbert's model, originally proposed for predicting the peak and decline of oil production, has broader applications in understanding the exploitation of finite resources. This paper presents a clear and straightforward explanation of the key concepts and underlying principles of Hubbert's model, highlighting its relevance in the context of natural resource management and sustainable development. Through a combination of theoretical exposition and illustrative examples, this study elucidates the fundamental mechanisms governing the exploitation of finite resources and the implications for future resource availability. By demystifying Hubbert's model, this abstract seeks to empower policymakers, researchers, and the general public with a deeper understanding of resource dynamics and the importance of prudent resource management practices.

Complexation Behavior of Pinene–Bipyridine Ligands with Lanthanides: Exploring the Influence of the Carboxylic Arm

Atena B. Solea, Liangru Yang, Aurelien Crochet, Katharina M. Fromm, Christophe Allemann and Olimpia Mamula

Year: 2021| Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This abstract explores the complexation behavior of pinene–bipyridine ligands with lanthanides, focusing on the influence of the carboxylic arm. Lanthanide complexes have significant applications in various fields, including catalysis, luminescence, and medical imaging. This paper investigates how the presence of the carboxylic arm in pinene–bipyridine ligands affects their complexation properties with lanthanides. Through a combination of experimental analysis and theoretical modeling, this study elucidates the coordination chemistry underlying these interactions. The findings reveal insights into the structure–activity relationships of lanthanide complexes, shedding light on potential applications in fields such as coordination chemistry and materials science. Ultimately, this abstract contributes to a deeper understanding of the complexation behavior of pinene–bipyridine ligands and their potential utility in lanthanide coordination chemistry.

Real-Time Emission Prediction with Detailed Chemistry for Hardware-in-the-Loop Simulations under Transient Conditions

Mario Picerno, Sung-Yong Lee, Michal Pasternak, Reddy Siddareddy, Tim Franken, Fabian Mauss and Jakob Andert

Year: 2021| Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This abstract presents a novel approach for real-time emission prediction with detailed chemistry, specifically designed for hardware-in-the-loop simulations under transient conditions. Accurate prediction of emissions is crucial for assessing the environmental impact of various systems, such as combustion engines and industrial processes. This paper proposes a methodology that integrates detailed chemistry models into hardware-in-the-loop simulations, enabling real-time prediction of emissions under transient operating conditions. By considering complex chemical reactions and dynamic system behavior, the proposed approach provides more accurate and realistic predictions compared to traditional methods. Through a combination of theoretical analysis and practical demonstrations, this research showcases the effectiveness and applicability of the proposed methodology in predicting emissions in real-time scenarios. The findings of this study have implications for improving the efficiency and environmental performance of various systems, ultimately contributing to sustainable development and pollution reduction efforts.

Spectral, Entropy, and Bifurcation Analysis of Dynamics in a Chemical Reverse-Flow Tubular Reactor with Catalyst

Marek Berezowski, Natalia Kozioł and Marcin Lawnik

Year: 2021| Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This abstract presents a comprehensive analysis of the dynamics in a chemical reverse-flow tubular reactor with a catalyst, utilizing spectral, entropy, and bifurcation analysis techniques. Understanding the complex dynamics of chemical reactors is crucial for optimizing their performance and ensuring safe operation. This paper explores the spectral characteristics, entropy changes, and bifurcation phenomena within the reactor system, shedding light on its dynamic behavior under varying conditions. Through a combination of theoretical modeling and computational simulations, this research investigates how different factors, such as reaction kinetics, flow rates, and catalyst properties, influence the reactor dynamics. The findings reveal insights into the stability, oscillatory behavior, and transition phenomena exhibited by the reactor system. Ultimately, this abstract contributes to advancing our understanding of the dynamics of chemical reactors and provides valuable guidance for designing and operating these systems effectively.


International Conference on Sustainable Energy and Materials Engineering (ICSEME)

International Conference on Biomedical Robotics and Computational Imaging (ICBRCI)

International Conference on Smart Cities and Civil Infrastructure (ICSCCI)

International Conference on Aerospace Technologies and Data Science (ICATDS)

International Conference on Renewable Resources and Chemical Engineering (ICRRCE)

International Conference on Cyber-Physical Systems and Electrical Engineering (ICCPSE)

International Conference on Robotics in Manufacturing and Environmental Engineering (ICRMEE)

International Conference on Advanced Materials and Mechanical Engineering (ICAMME)

International Conference on Nanotechnology for Electrical Systems (ICNES)

International Conference on Geotechnical Innovations and Computer-Aided Design (ICGICAD)

International Conference on Water Resources and Environmental Engineering (ICWREE)

International Conference on Intelligent Transportation Systems and Structural Engineering (ICITSE)

International Conference on Sustainable Energy and Materials Engineering (ICSEME)

International Conference on Biomedical Robotics and Computational Imaging (ICBRCI)

International Conference on Smart Cities and Civil Infrastructure (ICSCCI)

International Conference on Aerospace Technologies and Data Science (ICATDS)

International Conference on Renewable Resources and Chemical Engineering (ICRRCE)

International Conference on Cyber-Physical Systems and Electrical Engineering (ICCPSE)

International Conference on Robotics in Manufacturing and Environmental Engineering (ICRMEE)

International Conference on Advanced Materials and Mechanical Engineering (ICAMME)

International Conference on Nanotechnology for Electrical Systems (ICNES)

International Conference on Geotechnical Innovations and Computer-Aided Design (ICGICAD)

International Conference on Water Resources and Environmental Engineering (ICWREE)

International Conference on Intelligent Transportation Systems and Structural Engineering (ICITSE)

International Conference on Sustainable Energy and Materials Engineering (ICSEME)

International Conference on Biomedical Robotics and Computational Imaging (ICBRCI)

International Conference on Smart Cities and Civil Infrastructure (ICSCCI)

International Conference on Aerospace Technologies and Data Science (ICATDS)

International Conference on Renewable Resources and Chemical Engineering (ICRRCE)

International Conference on Cyber-Physical Systems and Electrical Engineering (ICCPSE)

International Conference on Robotics in Manufacturing and Environmental Engineering (ICRMEE)

International Conference on Advanced Materials and Mechanical Engineering (ICAMME)

International Conference on Nanotechnology for Electrical Systems (ICNES)

International Conference on Geotechnical Innovations and Computer-Aided Design (ICGICAD)

International Conference on Water Resources and Environmental Engineering (ICWREE)

International Conference on Intelligent Transportation Systems and Structural Engineering (ICITSE)

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