scholarly journals The relationship between hydrogen and its application in wind energy: A systematic review

2021 ◽  
Vol 8 (20) ◽  
pp. 1295-1313
Author(s):  
Matheus Eurico Soares de Noronha ◽  
André Themoteo da Silva Melo
Keyword(s):  
Wind Energy ◽  
Energy Production ◽  
New Technologies ◽  
Web Of Science ◽  
Experimental Models ◽  
Practical Application ◽  
Substantial Growth ◽  
Current Context ◽  
Energy Production System ◽  
The Relationship

The aim of this study was to map papers about the use of hydrogen as a fuel and its association with wind energy under siege in two databases (Web of Science and Scopus) to provide insights about this topic and verify its current context. This study was a systematic literature review and content analysis of 87 papers from Web of Science and Scopus database. The papers were analyzed from descriptive, bibliographic, methodologic, results and citation characteristics. The publications about this theme have been mostly developed using mixed research models (quantitative and qualitative), especially due to the need to validate these experimental models for practical application, can be classified into four central clusters: 1) Green hydrogen; 2) Economic Viability and Costs; 3) New Technologies; and 4) Public Policies and Case Studies, with different focuses that converging to the same objective, the use of hydrogen as an ecologically correct and profitable fuel to serve the energy production system from wind plants. From the results obtained, it is observed that the use of hydrogen as a fuel, and wind energy, are themes that have been relatively significant in recent years within the environment of industrial innovation, presenting an eclecticism, where several countries in a pulverized form are increasingly seeking invest in these technologies, which is expressed through the substantial growth in the number of papers published about these themes since 2000s.

scholarly journals DC-DC Converter Fault Diagnostic in Wind Energy Production System. Simulation Study

2015 ◽  
Vol 83 ◽  
pp. 408-417 ◽  
Author(s):  
Abdellatif Nouri ◽  
Issam Salhi ◽  
Najib Essounbouli ◽  
Elmostafa Elwarraki ◽  
Amine Haraoubia
Keyword(s):  
Wind Energy ◽  
Simulation Study ◽  
Production System ◽  
Energy Production ◽  
System Simulation ◽  
Fault Diagnostic ◽  
Energy Production System

AI Narratives

2020 ◽  
Keyword(s):  
Artificial Intelligence ◽  
New Technologies ◽  
Ancient Greece ◽  
Historical Overview ◽  
Intelligent Machines ◽  
Narrative History ◽  
History Of ◽  
Imaginative Thinking ◽  
The Relationship ◽  
Insight Into

This book is the first to examine the history of imaginative thinking about intelligent machines. As real artificial intelligence (AI) begins to touch on all aspects of our lives, this long narrative history shapes how the technology is developed, deployed, and regulated. It is therefore a crucial social and ethical issue. Part I of this book provides a historical overview from ancient Greece to the start of modernity. These chapters explore the revealing prehistory of key concerns of contemporary AI discourse, from the nature of mind and creativity to issues of power and rights, from the tension between fascination and ambivalence to investigations into artificial voices and technophobia. Part II focuses on the twentieth and twenty-first centuries in which a greater density of narratives emerged alongside rapid developments in AI technology. These chapters reveal not only how AI narratives have consistently been entangled with the emergence of real robotics and AI, but also how they offer a rich source of insight into how we might live with these revolutionary machines. Through their close textual engagements, these chapters explore the relationship between imaginative narratives and contemporary debates about AI’s social, ethical, and philosophical consequences, including questions of dehumanization, automation, anthropomorphization, cybernetics, cyberpunk, immortality, slavery, and governance. The contributions, from leading humanities and social science scholars, show that narratives about AI offer a crucial epistemic site for exploring contemporary debates about these powerful new technologies.

scholarly journals Geocomputing, New Technologies and Historical Analysis: Tools for a Changing Planet

Proceedings ◽  
2019 ◽  
Vol 30 (1) ◽  
pp. 9
Author(s):  
Sebastiano Trevisani
Keyword(s):  
Quantitative Analysis ◽  
Philosophy Of Science ◽  
New Technologies ◽  
Historical Analysis ◽  
Holistic Approach ◽  
Research Topic ◽  
The Other ◽  
Historical Records ◽  
The Earth ◽  
The Relationship

Modern Earth Scientists need also to interact with other disciplines, apparently far from the Earth Sciences and Engineering. Disciplines related to history and philosophy of science are emblematic from this perspective. From one side, the quantitative analysis of information extracted from historical records (documents, maps, paintings, etc.) represents an exciting research topic, requiring a truly holistic approach. On the other side, epistemological and philosophy of science considerations on the relationship between geoscience and society in history are of fundamental importance for understanding past, present and future geosphere-anthroposphere interlinked dynamics.

Insuring wind energy production

2017 ◽  
Vol 467 ◽  
pp. 542-553 ◽  
Author(s):  
Guglielmo D’Amico ◽  
Filippo Petroni ◽  
Flavio Prattico
Keyword(s):  
Wind Energy ◽  
Energy Production

scholarly journals Caffeine and Cognitive Functions in Sports: A Systematic Review and Meta-Analysis

Nutrients ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 868
Author(s):  
Jorge Lorenzo Calvo ◽  
Xueyin Fei ◽  
Raúl Domínguez ◽  
Helios Pareja-Galeano
Keyword(s):  
Systematic Review ◽  
Reaction Time ◽  
Cognitive Performance ◽  
Cognitive Functions ◽  
Web Of Science ◽  
Meta Analysis ◽  
Caffeine Intake ◽  
Inclusion Criteria ◽  
Research Protocols ◽  
The Relationship

Cognitive functions are essential in any form of exercise. Recently, interest has mounted in addressing the relationship between caffeine intake and cognitive performance during sports practice. This review examines this relationship through a structured search of the databases Medline/PubMed and Web of Science for relevant articles published in English from August 1999 to March 2020. The study followed PRISMA guidelines. Inclusion criteria were defined according to the PICOS model. The identified records reported on randomized cross-over studies in which caffeine intake (as drinks, capsules, energy bars, or gum) was compared to an identical placebo situation. There were no filters on participants’ training level, gender, or age. For the systematic review, 13 studies examining the impacts of caffeine on objective measures of cognitive performance or self-reported cognitive performance were selected. Five of these studies were also subjected to meta-analysis. After pooling data in the meta-analysis, the significant impacts of caffeine only emerged on attention, accuracy, and speed. The results of the 13 studies, nevertheless, suggest that the intake of a low/moderate dose of caffeine before and/or during exercise can improve self-reported energy, mood, and cognitive functions, such as attention; it may also improve simple reaction time, choice reaction time, memory, or fatigue, however, this may depend on the research protocols.

Living with Barren Truths: A Tale of Triumphalism and Tribulations of a Technology

2021 ◽  
pp. 097168582110159
Author(s):  
Sital Mohanty ◽  
Subhasis Sahoo ◽  
Pranay Kumar Swain
Keyword(s):  
Gender Discrimination ◽  
New Technologies ◽  
The Body ◽  
Social Scientists ◽  
Social Fact ◽  
Science Technology ◽  
The Subject ◽  
And Gender ◽  
The Relationship

Science, technology and human values have been the subject of enquiry in the last few years for social scientists and eventually the relationship between science and gender is the subject of an ongoing debate. This is due to the event of globalization which led to the exponential growth of new technologies like assisted reproductive technology (ART). ART, one of the most iconic technological innovations of the twentieth century, has become increasingly a normal social fact of life. Since ART invades multiple human discourses—thereby transforming culture, society and politics—it is important what is sociological about ART as well as what is biological. This article argues in commendation of sociology of technology, which is alert to its democratic potential but does not concurrently conceal the historical and continuing role of technology in legitimizing gender discrimination. The article draws the empirical insights from local articulations (i.e., Odisha state in eastern India) for the understandings of motherhood, freedom and choice, reproductive right and rights over the body to which ART has contributed. Sociologically, the article has been supplemented within the broader perspectives of determinism, compatibilism alongside feminism.

scholarly journals Association between CYP3A5 Polymorphism and Statin-Induced Adverse Events: A Systemic Review and Meta-Analysis

2021 ◽  
Vol 11 (7) ◽  
pp. 677
Author(s):  
Jeong Yee ◽  
Hamin Kim ◽  
Yunhee Heo ◽  
Ha-Young Yoon ◽  
Gonjin Song ◽  
...  
Keyword(s):  
Adverse Events ◽  
Web Of Science ◽  
Meta Analysis ◽  
Statistical Significance ◽  
Systemic Review ◽  
Event Risk ◽  
Total Data ◽  
Lipophilic Statin ◽  
The Relationship ◽  
Review Manager

Purpose: Cytochrome P450 (CYP) is involved in the metabolism of statins; CYP3A5 is the main enzyme responsible for lipophilic statin metabolism. However, the evidence of the association between CYP3A5*3 polymorphism and the risk of statin-induced adverse events remains unclear. Therefore, this study aimed to perform a systematic review and meta-analysis to investigate the relationship between the CYP3A5*3 polymorphism and the risk of statin-induced adverse events. Methods: The PubMed, Web of Science, and EMBASE databases were searched for qualified studies published until August 2020. Observational studies that included the association between statin-induced adverse events and the CYP3A5*3 polymorphism were reviewed. The odds ratios (ORs) and 95% confidence intervals (CIs) were evaluated to assess the strength of the relationship. The Mantel–Haenszel method was used to provide the pooled ORs. Heterogeneity was estimated with I2 statistics and publication bias was determined by Begg’s and Egger’s test of the funnel plot. Data analysis was performed using Review Manager (version 5.4) and R Studio (version 3.6). Results: In total, data from 8 studies involving 1614 patients were included in this meta-analysis. The CYP3A5*3 polymorphism was found to be associated with the risk of statin-induced adverse events (*3/*3 vs. *1/*1 + *1/*3: OR = 1.40, 95% CI = 1.08–1.82). For myopathy, the pooled OR was 1.30 (95% CI: 0.96–1.75). The subgroup analysis of statin-induced myopathy revealed a trend, which did not achieve statistical significance. Conclusions: This meta-analysis demonstrated that the CYP3A5*3 polymorphism affected statin-induced adverse event risk. Therefore, CYP3A5 genotyping may be useful to predict statin toxicity.

scholarly journals Photovoltaic Cleaning Optimization: A Simplified Theoretical Approach for Air to Water Generator (AWG) System Employment

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4271
Author(s):  
Lucia Cattani ◽  
Paolo Cattani ◽  
Anna Magrini
Keyword(s):  
Energy Loss ◽  
Energy Production ◽  
New Technologies ◽  
Optimization Procedure ◽  
System Size ◽  
Design Tool ◽  
Semiempirical Model ◽  
Photovoltaic Panel ◽  
Water Amount

Photovoltaic panel efficiency can be heavily affected by soiling, due to dust and other airborne particles, which can determine up to 50% of energy production loss. Generally, it is possible to reduce that impact by means of periodic cleaning, and one of the most efficient cleaning solutions is the use of demineralized water. As pauperization of traditional water sources is increasing, new technologies have been developed to obtain the needed water amount. Water extracted from the air using air to water generator (AWG) technology appears to be particularly suitable for panel cleaning, but its effective employment presents issues related to model selection, determining system size, and energy efficiency. To overcome such issues, the authors proposed a method to choose an AWG system for panel cleaning and to determine its size accordingly, based on a cleaning time optimization procedure and tailored to AWG peculiarities, with an aim to maximize energy production. In order to determine the energy loss due to soiling, a simplified semiempirical model (i.e., the DIrt method) was developed as well. The methodology, which also allows for energy saving due to an optimal cleaning frequency, was applied to a case study. The results show that the choice of the most suitable AWG model could prevent 83% of energy loss related to soling. These methods are the first example of a design tool for panel cleaning planning involving AWG technology.

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