On the basis of PM2.5 data of the national air quality monitoring sites, local population data, and baseline all-cause mortality rate, PM2.5-related health economic benefits of the Air Improvement Action Plan implemented in Wuhan in 2013–2017 were investigated using health-impact and valuation functions. Annual avoided premature deaths driven by the average concentration of PM2.5 decrease were evaluated, and the economic benefits were computed by using the value of statistical life (VSL) method. Results showed that the number of avoided (...) premature deaths in Wuhan are 21,384 (95% confidence interval (CI): 15,004 to 27,255) during 2013–2017, due to the implementation of the Air Improvement Action Plan. According to the VSL method, the obtained economic benefits of Huangpi, Wuchang, Hongshan, Xinzhou, Jiang’an, Hanyang, Jiangxia, Qiaokou, Jianghan, Qingshan, Caidian, Dongxihu, and Hannan District were 8.55, 8.19, 8.04, 7.39, 5.78, 4.84, 4.37, 4.04, 3.90, 3.30, 2.87, 2.42, and 0.66 billion RMB (1 RMB = 0.1417 USD On 14 October 2019), respectively. These economic benefits added up to 64.35 billion RMB (95% CI: 45.15 to 82.02 billion RMB), accounting for 4.80% (95% CI: 3.37% to 6.12%) of the total GDP of Wuhan in 2017. Therefore, in the process of formulating a regional air quality improvement scheme, apart from establishing hierarchical emission-reduction standards and policies, policy makers should give integrated consideration to the relationship between regional economic development, environmental protection and residents’ health benefits. Furthermore, for improving air quality, air quality compensation mechanisms can be established on the basis of the status quo and trends of air quality, population distribution, and economic development factors. (shrink)

The data collected by these sensors are transmitted to a centralized system where optimization algorithms, such as Genetic Algorithms (GA), Particle Swarm Optimization (PSO), and Simulated Annealing (SA), are applied to optimize sensor placement, data transmission, and processing efficiency. This ensures accurate, real-time pollution monitoring and data analysis, providing actionable insights for policymakers, environmental agencies, and the general public. The system's performance is evaluated through simulations and real-world experiments, demonstrating its capability to deliver reliable and timely pollution data. Future (...) work will explore the integration of machine learning techniques for predictive analytics and the expansion of the sensor network for broader coverage. (shrink)

Air pollution is a significant environmental concern that affects human health, ecosystems, and climate change. Effective monitoring and management of outdoor air quality are crucial for mitigating its adverse effects. This paper presents an advanced approach to outdoor pollution measurement utilizing Internet of Things (IoT) technology, combined with optimization techniques to enhance system efficiency and data accuracy. The proposed framework integrates a network of IoT sensors that continuously monitor various air pollutants, such as particulate matter (PM), carbon monoxide (...) (CO), sulfur dioxide (SO₂), nitrogen dioxide (NO₂), and ozone (O₃), across different geographic locations. The data collected by these sensors are transmitted to a centralized system where optimization algorithms, such as Genetic Algorithms (GA), Particle Swarm Optimization (PSO), and Simulated Annealing (SA), are applied to optimize sensor placement, data transmission, and processing efficiency. This ensures accurate, real-time pollution monitoring and data analysis, providing actionable insights for policymakers, environmental agencies, and the general public. (shrink)

Air pollutants pose a threat to biodiversity throughout the world. This study was conducted to evaluate atmospheric element accumulation in Isparta city, including Gölcük Nature Park, located in the Western Mediterranean Region of Turkey. It is aimed to determine the air quality and potential pollutant sources in the region through lichen biomonitoring. Specimens of the epiphytic foliose lichen Physcia aipolia (Erh. ex Humb.) Fürnr. were sampled from 14 sites in the study area and analyzed by ICP-MS with reference material (...) in order to detect 11 trace elements; Al, As, Cd, Cr, Cu, Fe, Mn, Ni, Pb, V, and Zn. The spatial distribution of these airborne elements in the study area was mapped. The results showed that the elemental sequence in terms of average concentrations measured was as follows: Ni >Cr >V >Fe >As >Al >Zn >Cu> >Cd >Mn >Pb. The results of cluster analyses of the elemental data indicated that the 3 major contaminants in the urban area were Cr, Ni, and V, probably due to the extensive use of coal in heating facilities and gasoline in vehicles. P. aipolia specimens accumulated maximal concentrations of As, Cr, Fe, Ni, and V in the northern and the southeastern localities surrounding the city, while Cd, Pb were most abundant in the eastern edge of Gölcük Nature Park. The pollution in Isparta city with heavy metal is worse than expected, mostly due to the extensive use of coal as fossil fuel. In addition, it seems to be associated with the city's topographic and climatic characteristics, e.g. inversion effects. (shrink)

The data collected by these sensors are transmitted to a centralized system where optimization algorithms, such as Genetic Algorithms (GA), Particle Swarm Optimization (PSO), and Simulated Annealing (SA), are applied to optimize sensor placement, data transmission, and processing efficiency. This ensures accurate, real-time pollution monitoring and data analysis, providing actionable insights for policymakers, environmental agencies, and the general public. The system's performance is evaluated through simulations and real-world experiments, demonstrating its capability to deliver reliable and timely pollution data. Future (...) work will explore the integration of machine learning techniques for predictive analytics and the expansion of the sensor network for broader coverage. (shrink)

This study presents a neural network-based model for predicting smoke potential in a specific area using a Kaggle-derived dataset with 15 environmental features and 62,631 samples. Our five-layer neural network achieved an accuracy of 89.14% and an average error of 0.000715, demonstrating its effectiveness. Key influential features, including temperature, humidity, crude ethanol, pressure, NC1.0, NC2.5, SCNT, and PM2.5, were identified, providing insights into smoke occurrence. This research aids in proactive smoke mitigation and public health protection. The model's accuracy and feature (...) analysis empower decision-makers, with potential applications in real-time smoke event monitoring and preparedness strategies. This work contributes to the field of air quality forecasting and environmental stewardship, offering a data-driven approach to address smoke-related challenges and enhance community well-being. (shrink)

We investigate the application of Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM) networks, and a hybrid CNN-LSTM model for forecasting air pollution levels based on historical data. Our experimental setup uses real-world air quality datasets from multiple regions, containing measurements of pollutants like PM2.5, PM10, CO, NO2, and SO2, alongside meteorological data such as temperature, humidity, and wind speed. The models are trained, validated, and tested using a split dataset, and their accuracy is evaluated using performance metrics like (...) Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and R-squared. (shrink)

The current study is conducted to examine the following research question: 1) Who were the people who had no access to wildfire smoke notifications during the smoke event in the summer of 2018 in the Boise Metropolitan Area in Idaho? 2) Who were the people who were not familiar with the air quality rating system?

The current study is conducted to examine the following research question: What are the factors associated with the sensitivity towards the air quality rating index to reduce outdoor activities?

In recent years, the prediction of air quality has become a critical task due to its significant impact on human health and the environment. With urbanization and industrial growth, the need for accurate air quality forecasting has become more urgent. Traditional methods for air quality prediction are often based on statistical models or physical simulations, which, while valuable, can struggle to capture the complexity of air pollution dynamics. This study explores the use of deep learning techniques to (...) predict air quality, providing a comparative analysis of different neural network models and their performance. (shrink)

In recent years, the prediction of air quality has become a critical task due to its significant impact on human health and the environment. With urbanization and industrial growth, the need for accurate air quality forecasting has become more urgent. Traditional methods for air quality prediction are often based on statistical models or physical simulations, which, while valuable, can struggle to capture the complexity of air pollution dynamics. This study explores the use of deep learning techniques to (...) predict air quality, providing a comparative analysis of different neural network models and their performance. (shrink)

We investigate the application of Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM) networks, and a hybrid CNN-LSTM model for forecasting air pollution levels based on historical data. Our experimental setup uses real-world air quality datasets from multiple regions, containing measurements of pollutants like PM2.5, PM10, CO, NO2, and SO2, alongside meteorological data such as temperature, humidity, and wind speed. The models are trained, validated, and tested using a split dataset, and their accuracy is evaluated using performance metrics like (...) Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and R-squared. (shrink)

The results show that the hybrid CNN-LSTM model outperforms the individual models in terms of prediction accuracy and robustness, suggesting that combining convolutional layers with recurrent units is beneficial for capturing both spatial and temporal patterns in air quality data. This study demonstrates the potential of deep learning methods to offer real-time, accurate air quality forecasting systems, which can aid policymakers and urban planners in managing air pollution more effectively.

Expeditious increase in population and industrialization has led to alarming rates of air pollution in all countries. However, developing economies have had to face a more adverse and severe impact. This had led to many changes in the day to day living of citizens. In this paper we have focused on the psychological process and predictors of migration intention of the people living in Hanoi, Vietnam. Two stratified random datasets of 475 people were used, and Bayesian analysis was performed on (...) this dataset. We found out that the intent to move was negatively associated to the individual’s satisfaction with air quality. We also found that people who have family members that have fallen victim to a disease caused by air pollution are more likely to migrate. This paper discusses an important topic: immigration of the younger demographic, i.e. the Hanoi workforce, which may cause restrictions and hurdles in the city's urbanisation and development. The findings suggest that, if measures against air pollution are not taken, economic forces may be disrupted, posing a threat to urban growth. As a result, collaborative activities and steps need to be taken by the government to curb this unfortunate consequence. (shrink)

Water quality assessment is critical for environmental sustainability and public health. This research employs neural networks to predict water quality, utilizing a dataset of 21 diverse features, including metals, chemicals, and biological indicators. With 8000 samples, our neural network model, consisting of four layers, achieved an impressive 94.22% accuracy with an average error of 0.031. Feature importance analysis revealed arsenic, perchlorate, cadmium, and others as pivotal factors in water quality prediction. This study offers a valuable contribution to (...) enhancing water quality monitoring and decision-making for stakeholders and policymakers. (shrink)

The odds of encountering a senior citizen selling on the street have increased. The claim that they have no choice but to work and sell on the street, despite the dangers, illnesses, and psychological issues they may face, to provide for their family’s needs is very evident. Therefore, this study explores the quality of life, lived experiences, challenges, and coping mechanisms of senior citizen street vendors in Bulacan, Philippines. The study employed Heideggerian Phenomenology and Interpretative Phenomenological Analysis (IPA). Moreover, (...) the following themes arise (1) Golden years, (2) Socially connected, and (3) Unknown journey. These themes highlighted the experiences and challenges faced by the participants. Moreover, it is highly suggested that local government agencies enhance and strictly monitor the existing program that alleviates mental and physical health concerns and senior citizens' safety and financial assistance. (shrink)

This chapter presents the perceptual reality monitoring theory of consciousness (PRM). PRM is a higher-order theory of consciousness. It holds that consciousness involves monitoring the reliability of one’s own sensory signals. I explain how a perceptual reality monitoring mechanism computes the higher order representations that are crucial for consciousness. While PRM accounts for the difference between conscious and unconscious states, it does not explain, on its own, why experiences feel the way they do—the phenomenal character of experience. (...) PRM is compatible with multiple theories of phenomenal character. Here, I show how to combine it with ‘Mental Quality Space’ theory. I finish by presenting empirical evidence for PRM, as well as some of its predictions. (shrink)

Purpose: This article aims to highlight key indicators of residents' quality of life in a specific contemporary building in Kruja, Albania. -/- Design/Method/Approach: A questionnaire with 30 questions was prepared for the inhabitance, and the Binary or Tobit probabilistic models were taken into consideration as part of the methodology, to conclude. The study will further analyze the implications of the inhabitants and their behavior in a specific contemporary building in the city of Kruja. It was examined the statistical significance (...) of each variable (questions) in the models elaborated with EViews 8 software. The stable models that are associated with the “Log-likelihood” statistics were statistically significant at a significance level of p < 5%, or with 95% confidence, based on the model tests. -/- Findings: The study concluded that the most statistically significant quality of life indicators part of the questionnaire is related to the typology of the apartments, methods of cooling during summer, present living conditions, apartment improvement, apartment orientation, and time spent in the living room. Furthermore, the study reveals that most of the quality-of-life indicators (part of the questionnaire) are not statistically important, so they will not be considered part of the models created in the article. The study reveals that increasing the living space and improving orientation is crucial to enhance the satisfaction of apartment inhabitants. When apartment sizes increase and orientation is improved, residents are more likely to opt for fans over air conditioners to reduce electricity costs and avoid installing additional cooling facilities during summer. They believe that better living conditions require larger apartments, additional water supply, increased electrical costs, and more time spent in the living room. The inhabitants also emphasize the importance of reducing moisture levels, decreasing window opening frequency, and increasing time spent with family. Interestingly, a one-degree improvement in summer cooling methods (e.g., switching from air blowers to air conditioning) corresponds to a one-degree improvement in winter heating methods (e.g., switching from gas to electricity), leading to a heightened need for clean electric heating. Overall, the study emphasizes the importance of meeting the physical and spatial needs of the residents to enhance their overall satisfaction and quality of life. Urban policies significantly impact housing affordability, quality, transport systems, environmental sustainability, and social equity, affecting overall living standards and economic growth. Cities must create well-designed policies that consider residents' needs and study findings to ensure sustainable development and citizen welfare. -/- Theoretical Implications: Gujarati’s (Basic Economics) theory was developed in the article. -/- Practical Implications: This study will serve as an indicator to analyze the further improvements that might occur in the specific building (not just in the city of Kruja), considering the main quality of life indicators. -/- Originality/Value: The article will serve as a base for further analysis of resident’s behavior and their social impact in the community in order to be aware of their needs for further developments in the construction field. -/- Research Limitations/Future Research: The findings depend profoundly on the type of building the residents are living in. The research stream that can be inspired by the research is strongly related to mathematical regression models, statistics, and probability. -/- Paper Type: Empirical . (shrink)

The current increase of air pollution rates and its consequences of global warming, health problems and threats to human lives necessitate the continuous search for more efficient and cost effective gas monitoring devices. Devices that is easily available and implementable worldwide. In developing countries the cost and the availability of the equipment is one of the obstacles that contribute to not having an efficient monitoring system. Hence, modifying cheap and easily available devices to work as pollution monitoring (...) system will be an asset in this direction. In this work I am presenting the design of a computer based pollution detection and measuring system using cheap CO (Carbon Monoxide) alarms used in homes. The outcome is a cost-effective computer based CO monitoring system that is easily available and could be easily modified to work as a network based CO nose. A C# based program is also designed to show and log the sensor readings in an easy to use and read Window. (shrink)

Complex systems are difficult to manage, operate and maintain. This is why we see teams of highly specialised engineers in industries such as aerospace, nuclear and subsurface. Condition based monitoring is also employed to maximise the efficiency of extensive maintenance programmes instead of using periodic maintenance. A level of automation is often required in such complex engineering platforms in order to effectively and safely manage them. Advances in Artificial Intelligence related technologies have offered greater levels of automation but this (...) potentially pivots the weight of decision making away from the operator to the machine. Implementing AI or complex algorithms into a platform can mean that the Operators’ control over the system is diminished or removed altogether. For example, in the Boeing 737 Air Max Disaster, AI had been added to a platform and removed the operators’ control of the system. This meant that the operator could not then move outside the extremely reserved, algorithm defined, “envelope” of operation. This paper analyses the challenges of AI driven condition based monitoring where there is a potential to see similar consequences to those seen in control engineering. As the future of society becomes more about algorithm driven technology, it is prudent to ask, not only whether we should implement AI into complex systems, but how this can be achieved ethically and safely in order to reduce risk to life. (shrink)

During the production process, production companies need to monitor the finished products and ensure their quality, which imposes on them the appointment of inspectors for auditing, and this appointment costs the company amounts that affect the general profit, so it strives to make this cost as low as possible and that the audit process is carried out with high accuracy because in case that the finished products do not conform to the basic specifications of the product, the company is (...) required to pay a fine. In this research, we will formulate the text of the problem appropriately for such a case and then we will build the appropriate mathematical model through which we can obtain the lowest possible cost of inspection, and we will present the study using classical values and neutrosophic values, and we will demonstrate them through an example that shows us the difference between them. (shrink)

Wearable devices are increasingly present in the health context, as tools for biomedical research and clinical care. In this context, wearables are considered key tools for a more digital, personalised, preventive medicine. At the same time, wearables have also been associated with issues and risks, such as those connected to privacy and data sharing. Yet, discussions in the literature have mostly focused on either technical or ethical considerations, framing these as largely separate areas of discussion, and the contribution of wearables (...) to the collection, development, application of biomedical knowledge has only partially been discussed. To fill in these gaps, in this article we provide an epistemic (knowledgerelated) overview of the main functions of wearable technology for health: monitoring, screening, detection, and prediction. On this basis, we identify 4 areas of concern in the application of wearables for these functions: data quality, balanced estimations, health equity, and fairness. To move the field forward in an effective and beneficial direction, we present recommendations for the 4 areas: local standards of quality, interoperability, access, and representativity. (shrink)

In the paper, I argue there is a whole political logistics to deportation. This is made visible by bringing the concept of microphysics to bear on the topic. Taking the case of enforced and escorted removals from the UK, I show that this logistics is vividly and graphically documented in the inspection reports. Hitherto largely ignored, inspection reports offer researchers a trove of information regarding the mechanisms and procedures of deportation. As I finally draw out, this focus can speak to (...) questions about the relationship of ethics to deportation: the inspection reports show how a certain form of ethical calculation, based on a risk-based approach to the use of force has been inscribed into the practices of deportation. DOI 10.17879/95189425134. (shrink)

The rapid advancement of urbanization has necessitated the creation of "smart cities," where information and communication technologies (ICT) are used to improve the quality of urban life. Central to the smart city paradigm is data integration—connecting disparate data sources from various urban systems, such as transportation, healthcare, utilities, and public safety. This paper explores the role of Artificial Intelligence (AI) in facilitating data integration within smart cities, focusing on how AI technologies can enable effective urban governance. By examining the (...) current landscape of data integration and AI in smart cities, we highlight key challenges, solutions, and future trends. We conclude that AI-driven data integration is essential for optimizing city operations, fostering sustainability, and enhancing decision-making for urban governance. This paper explores the role of Artificial Intelligence (AI) in facilitating data integration within smart cities, focusing on how AI technologies can enable effective urban governance. By examining the current landscape of data integration and AI in smart cities, we highlight key challenges, solutions, and future trends. We conclude that AI-driven data integration is essential for optimizing city operations, fostering sustainability, and enhancing decision-making for urban governance. (shrink)

The rapid advancement of urbanization has necessitated the creation of "smart cities," where information and communication technologies (ICT) are used to improve the quality of urban life. Central to the smart city paradigm is data integration—connecting disparate data sources from various urban systems, such as transportation, healthcare, utilities, and public safety. This paper explores the role of Artificial Intelligence (AI) in facilitating data integration within smart cities, focusing on how AI technologies can enable effective urban governance. By examining the (...) current landscape of data integration and AI in smart cities, we highlight key challenges, solutions, and future trends. We conclude that AI-driven data integration is essential for optimizing city operations, fostering sustainability, and enhancing decision-making for urban governance. This paper explores the role of Artificial Intelligence (AI) in facilitating data integration within smart cities, focusing on how AI technologies can enable effective urban governance. By examining the current landscape of data integration and AI in smart cities, we highlight key challenges, solutions, and future trends. We conclude that AI-driven data integration is essential for optimizing city operations, fostering sustainability, and enhancing decision-making for urban governance. (shrink)

Coronavirus disease-19 (COVID-19), produced by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has become a global pandemic, giving rise to a serious health threat globally. The global Covid-19 pandemic is a setback for sustainable development and compromise the world commitment to the 2030 Agenda for Sustainable Development. The measures taken to control the spread of the virus and the slowdown of economic activities during lockdown have significant effects on the environment. Therefore, this review discuss the indirect positive and negative (...) impacts of Covid-19 pandemic towards sustainable environment. This study indicates that, the pandemic situation significantly improves air quality in different cities across the world, reduces the emission of greenhouse gases, and decreases water and noise pollution, which may help in the restoration of the ecosystem. In addition, there are also some negative impact of Covid-19, such as increase of medical waste, haphazard use and disposal of disinfectants, mask, and gloves; and burden of untreated wastes continuously endangering the environment. It points to the fact that the net effect has been positive; in terms of reduction in greenhouse emissions, oil exploration activities, and pollution. It is expected that the proper implementation of the proposed suggestion might be helpful for the global environmental sustainability. (shrink)

Developing countries have seen rapid economic growth, but they have also faced unprecedented environmental challenges, including air pollution, water pollution, land pollution, waste pollution, etc. Take air pollution as an example. It is alarming that 99 percent of the world’s population breathes polluted air. Air pollution is deemed a “quiet killer”, giving rise to numerous consequences ranging from health and psychological impacts to economic and social costs. For example, air pollution annually causes roughly 7 million premature deaths and an economic (...) loss of USD 8.1 trillion, accounting for 6.1% of the global GDP. Furthermore, it is worth noting that the urban population is projected to exceed two-thirds of the total global population by 2050, as urbanization exacerbates the air pollution problem, creating even more air pollution challenges for humankind in the long run. Every new piece of information matters for scientific progress in air pollution assessment, policymaking, and public health protection. From this viewpoint, the goal/objective of this Special Issue (SI) of Urban Science is to keep communities, scholars, and policymakers informed on the research progress on air quality and human health. Specifically, this SI serves as a forum for advancing scientific understanding of environmental changes associated with air pollution and air quality, strategies and/or different measures that the public, particularly urban residents, can employ to lessen and/or mitigate unexpected impacts. I hope that the useful information and insightful findings presented by scholars in this SI can support or facilitate desirable urban environment policies that help, ultimately, increase human and societal wellbeing. (shrink)

Cities and towns are expanding and thriving as a result of urbanization, which also significantly changes the local climate. One of the most significant phenomena associated with urbanization is the Urban Heat Island (UHI) effect. This phenomenon is increasingly being studied worldwide. The paper aims to investigate the UHI phenomenon in the metropolitan area of Tirana, Albania. It analyses the impact of the UHI on four specific locations in Tirana, its causes and mitigation measures, as well as variations in surface (...) temperature, CO2 emissions, and relative humidity. The regions are measured and observed using a specific instrument such as the Testo 435. Considering the mean surface temperature variations between urban and rural regions ranging from 28.4°C to 33.7 °C, CO2 emissions from 302.9 ppm to 416.2 ppm, and relative humidity from 34.1% to 41.2%, it is found that the UHI impact in Tirana is significant. The lack of green spaces, high building density, urban patterns, building materials used, transport, and energy use are the main contributors to the UHI in central Tirana. Increasing green spaces, using reflective materials, and promoting sustainable urban design are some of the mitigation techniques suggested to reduce the UHI effect in Tirana. (shrink)

There is widespread consensus that the volatility, uncertainty, complexity, and ambiguity (VUCA) environment has contributed to the subpar quality of public sector service delivery in South Africa. Hence, the aim of this paper is to ascertain how the South African government can enhance service delivery in a VUCA world. This article presents a comprehensive study of a number of secondary literature sources. The author makes an effort to draw attention to knowledge gaps that might serve as the foundation for (...) more research in the future. The main finding is that for the South African government to provide good service in a VUCA environment, its employees must be proficient in Results-Based Monitoring and Evaluation, Strategic Planning, Programme and Project Management Methodology, and Change Management Methodology. There is a severe lack of empirical study on the delivery of public sector services in an environment characterized by VUCA. As a result, there is a need for more research on this topic. Specifically, in order to establish the effect that the VUCA environment has on the governments of emerging nations. The research will be beneficial to the governments of developing countries, notably South Africa, as well as to those who work in the field of public administration. (shrink)

This study delved into the Senior High School Technical-Vocational-Livelihood (TVL) track in Bohol Province for the 2022-2023 school year, aiming to evaluate policy implementation, recognize barriers, and propose interventions. Employing a mixed-method approach, integrating quantitative-descriptive surveys and qualitative-descriptive research methods as recommended by Creswell and Plano Clark (2017), the findings unveiled a predominantly positive perception of policy implementation across various dimensions of the TVL track. These encompass curriculum development, teacher training, resource allocation, industry partnerships, assessment and evaluation, student support services, (...) monitoring and quality assurance, policy adaptation and improvement, stakeholder engagement, legal framework and compliance, data collection and analysis, and inclusivity and equity. Despite variations among teachers and administrators, a general commitment to policy implementation emerged. The study identified barriers in curriculum and instruction, readiness and preparedness, resource limitations, and teaching and learning, emphasizing evidence-based strategies and interdisciplinary approaches to surmount challenges. It underscores the crucial role of research and policy development in elevating the quality and efficacy of TVL education. (shrink)

Seeking to expand on previous theories, this paper explores the AIR (Applying Intelligence to the Reflexes) approach to expert performance previously outlined by Geeves, Christensen, Sutton and McIlwain (2008). Data gathered from a semi-structured interview investigating the performance experience of Jeremy Kelshaw (JK), a professional musician, is explored. Although JK’s experience of music performance contains inherently uncertain elements, his phenomenological description of an ideal performance is tied to notions of vibe, connection and environment. The dynamic nature of music performance advocated (...) by the AIR approach is illustrated by the strategies that JK implements during performance. Through executing these strategies, JK attempts to increase the likelihood of vibe and connection by selectively exercising agency over performance variables within his control. In order to achieve this, JK must engage in ongoing monitoring of his performance, whereby the spotlight of his attention pans across a vast array of disparate performance processes (and levels within these processes) in order to ascertain how he can most effectively meet the specific demands of a given performance situation. It is hoped that future research compiling data from numerous interviews and sources as well as using different research methodologies will further unlock the potential that the AIR approach holds for understanding expert performance. (shrink)

Being sure of each other is the blossoming of Kimberley Brownlee’s earlier work on the intrinsic value and qualities of human connection (2013, 2016c, 2016b), opening with a scene from A. A. Milne’s House at Pooh Corner: lost in the woods together, Piglet takes Pooh’s paw ‘just to be sure’ of his friend. The importance of social connection is often overlooked because it is central to our lives, like breathable air. Brownlee’s work highlights the need for social connection, as deserving (...) of more philosophical attention and practical protection through rights. But her key insight is that receiving relational goods isn’t all that matters: being able and permitted to provide relational goods to others, as Piglet and Pooh receive and offer each other reassurance, is just as essential for our wellbeing. Brownlee argues these interests are strong enough to ground rights (2016c: 28). (shrink)

The Western Philippines University – College of Education’s Project MATHEMATICS (Mathematics Enhanced Mentoring, Assistance, and Training to In-need and Challenged Students) was implemented as part of the Adopt-a-School Program to address the mathematical needs of Laura Vicuña Center – Palawan youths. To evaluate the extent of the project implementation, the study assessed its impact through the feedback gathered from the clients served. It specifically described the quality of project implementation, determined the attainment of project objectives, and enumerated client feedback. (...) A concurrent triangulation mixed-method research design was used with 32 clientele samples selected purposively. The study utilized a survey, problem set test, and focus-grouped interview to obtain data pertinent to the study’s objectives. The findings revealed an aspirational quality of the implemented project, improved mathematical performance, and the client’s desire for ongoing mentoring. The implications and limitations of the study are discussed, along with recommendations for future extension projects, monitoring and evaluation, and re-planning activities. (shrink)

The study aimed to look into the organizational performance of Higher Education Institutions in the Philippines particularly in Zamboanga del Norte. The descriptive method of research was used. There were 95 respondents to the survey. Frequency count, percentage, and Mean were used as a statistical tool. The investigation revealed that organizational performance of the Higher Education Institutions involved was found to be very good along the areas of VMGO, faculty, curriculum and instruction, support to students, research, extension, library, physical plant (...) and facilities, laboratories and administration. The Higher Education Institutions met the standards of quality over and above the minimum requirement of government under Article XIV Accreditation, Section 60. There were areas need to focus such as congruent to the needs of the people in the community, monitoring of faculty adequacy and loading, sourcing out funds and other resources, and maintaining safety and security inside the campuses, even though all areas in organizational performance found very good, Further, the administration continuously requires planning, implementation, monitoring, and evaluation. (shrink)

Metacognition is associated with planning, monitoring, evaluating and repairing performance Designers of elearning systems can improve the quality of their environments by explicitly structuring the visual and interactive display of learning contexts to facilitate metacognition. Typically page layout, navigational appearance, visual and interactivity design are not viewed as major factors in metacognition. This is because metacognition tends to be interpreted as a process in the head, rather than an interactive one. It is argued here, that cognition and metacognition (...) are part of a continuum and that both are highly interactive. The tenets of this view are explained by reviewing some of the core assumptions of the situated and distribute approach to cognition and then further elaborated by exploring the notions of active vision, visual complexity, affordance landscape and cue structure. The way visual cues are structured and the way interaction is designed can make an important difference in the ease and effectiveness of cognition and metacognition. Documents that make effective use of markers such as headings, callouts, italics can improve students’ ability to comprehend documents and ‘plan’ the way they review and process content. Interaction can be designed to improve ‘the proximal zone of planning’ – the look ahead and apprehension of what is nearby in activity space that facilitates decisions. This final concept is elaborated in a discussion of how e-newspapers combine effective visual and interactive design to enhance user control over their reading experience. (shrink)

Abstract: This study introduces a machine learning-based model for predicting student performance using a comprehensive dataset derived from educational sources, encompassing 15 key features and comprising 62,631 student samples. Our five-layer neural network demonstrated remarkable performance, achieving an accuracy of 89.14% and an average error of 0.000715, underscoring its effectiveness in predicting student outcomes. Crucially, this research identifies pivotal determinants of student success, including factors such as socio-economic background, prior academic history, study habits, and attendance patterns, shedding light on the (...) nuanced dynamics of student performance. The key influential features identified in this study offer valuable insights into the complex factors shaping student achievement. These insights are vital for educators, policymakers, and institutions seeking to enhance educational outcomes and promote equitable access to quality education. This research provides a data-driven foundation for proactive interventions, personalized learning strategies, and support systems, ultimately contributing to improved student performance and academic success. The high accuracy of the predictive model and the feature analysis it provides empower decision-makers in the education sector. This model holds significant potential for applications in student performance monitoring, early intervention, and tailored educational strategies. By adopting a data-driven approach, this work advances the field of educational analytics and contributes to the goal of fostering student success and educational equity. (shrink)

Abstract: To improve the countries’ pharmaceutical situation and to monitor the progress, the World Health Organization (WHO) and member states developed a system of indicators to measure the respective important aspects as a prerequisite step. Level I indicators to assess the country’s pharmaceutical situation include the national drug policy; legislation and regulations; drug accessibility and affordability; essential drug list; quality control; pharmacovigilance; storage and distribution; information and rational use. This study is aimed to document the professional opinion of 20 (...) pharmacy practice professionals on Libya’s current pharmaceutical situation, utilizing WHO indicator-based approach. The core indicators measure the most important information needed to understand the pharmaceutical situation in a country. A closed-end questionnaire was distributed to ten practicing pharmacists and ten pharmacy teaching staff members who practice pharmacy. The questionnaires were handed over personally and collected on the same day. The responses were analyzed using simple statistics. The results were argued in the light of the first author’s observation and view, being expert in this field, with reference to the other experts’ views, relevant publications’ findings and WHO reports’ conclusions on these indicators. Suggestions and recommendations for a proper situation assessment, planning and action taking are presented. Primarily, government’s commitment towards appropriate restructuring, management and monitoring of the pharmaceutical sector is crucial. That is to enhance the country’s pharmaceutical situation, to provide and sustain efficient pharmaceutical services and to improve the overall health care system’s performance. (shrink)

The Upanishads reveal that in the beginning, nothing existed: “This was but non-existence in the beginning. That became existence. That became ready to be manifest”. (Chandogya Upanishad 3.15.1) The creation began from this state of non-existence or nonduality, a state comparable to (0). One can add any number of zeros to (0), but there will be nothing except a big (0) because (0) is a neutral number. If we take (0) as Nirguna Brahman (God without any form and attributes), then (...) from where and how did the universe come into existence? -/- The neutral power (0) cannot produce anything without having an element of duality in it. Although Nirguna Brahman is neutral, it has a positive, negative, and neutral pole, constituting its Prakriti or nature. Prakriti has three latent Gunas (modes or qualities): Satva, Rajas, and Tamas. They are related to Gyana Shakti (the power of knowledge) Sankalpa Shakti (the power of ideation), and Kriya Shakti (the power of action). Science says that Atom is the basic element from which the universe evolved. The Atom has three nuclei- electron, pluton, and neutron. The Satva, Rajas, and Tamas in Indian spirituality are nothing but the mystical names for the nuclei of an atom. -/- According to Bhagavata Purana, Prakriti is also constituted of the elements of Time, Karma (action/destiny) and Swabhava (innate nature). Time disturbs the equilibrium of Gunas. From the aspect of Karma is produced an entity called Mahat, in the form of intelligence. Mahat is dominated by Satva and Rajas. From Mahat manifests the next evolute dominated by Tamas with three predominant qualities – Dravya (substance), Kriya (action), as well as intelligence. It forms to become the Ego principle (Ahamkara). -/- Ahamkara has three modes – Satvic, Rajasic and Tamasic. Satvic is Jnana oriented, Rajasic action-oriented and Tamasic Dravya (substance) oriented. From the Tamasic Ahankara, five gross elements are produced (ether, air, fire, water, and earth - Akash, Vayu, Agni, Jal and Prithvi). From the Satvic Ahamkara, guardian deities (the sun and moon, deities of sense organs, and organs of action) and from Rajasic Ahamkara, ten senses (Indriyas), five senses of perception, five organs of action, the faculties of intellect and Prana (life breath) are produced. -/- Bhagavata says that since these energies, elements, and faculties remained disassociated, they were combined to form a Cosmic Egg. The egg floats in the primal waters for a thousand years. Then God enters this Cosmic Egg and manifests himself as the Cosmic Purusha. He is the first nucleus, the God particle equivalent to the number (1) which is the embodiment of everything in the universe. The concept of creation and dissolution in Hinduism can be compared to the waves in an ocean that appear and disappear incessantly. The Manvantaras are such successive episodes of creation emerging from the Cosmic Person, the Manu who is embodied God-Consciousness, God himself. These episodes of creation are measured in Hinduism in terms of Manvantaras, the epochs of Manus. -/- Manu is the ‘First-Born’ (1) of God, the Cosmic Purusha from whom the world has originated. This Cosmic Person (Purusha) has been described as having fourteen biospheres (heavens) that are inhabited by various life forms in the order of evolution of consciousness. If we begin from the human biosphere (Bhuloka), there are ten astral biospheres that a man must transcend to attain liberation or Mukti from the cycle of births and deaths. -/- The number (1) produces the primary numbers up to (9) through the transmutation of the creational energies and qualities. The process can be related to the descent and cyclical evolution of (1) through ten spiritual stages, finally merging with the nondual (0). The number (10) marks the merger of (1) with (0). The Hindu worldview is that all life forms in an episode of creation must evolve to become one with the non-dual state (0) to attain liberation from the cycle of births and deaths in a cyclical process. -/- . (shrink)

Integrating the concept of place meanings into protected area management has been difficult. Across a diverse body of social science literature, challenges in the conceptualization and application of place meanings continue to exist. However, focusing on relationships in the context of participatory planning and management allows protected area managers to bring place meanings into professional judgment and practice. This paper builds on work that has outlined objectives and recommendations for bringing place meanings, relationships, and lived experiences to the forefront of (...) land-use planning and management. It proposes the next steps in accounting for people’s relationships with protected areas and their relationships with protected area managers. Our goals are to 1) conceptualize this relationship framework; 2) present a structure for application of the framework; and 3) demonstrate the application in a specific protected area context, using an example from Alaska. We identify three key target areas of information and knowledge that managers will need to sustain quality relationship outcomes at protected areas. These targets are recording stories or narratives, monitoring public trust in management, and identifying and prioritizing threats to relationships. The structure needed to apply this relationship-focused approach requires documenting and following individual relationships with protected areas in multiple ways. The goal of this application is not to predict relationships, but instead to gain a deeper understanding of how and why relationships develop and change over time. By documenting narratives of individuals, managers can understand how relationships evolve over time and the role they play in individual’s lives. By understanding public trust, the shared values and goals of individuals and managers can be observed. By identifying and prioritizing threats, managers can pursue efforts that steward relationships while allowing for the protection of experiences and meanings. The collection and interpretation of these three information targets can then be integrated and implemented within planning and management strategies to achieve outcomes that are beneficial for resource protection, visitor experiences, and stakeholder engagement. By investing in this approach, agencies will gain greater understanding and usable knowledge towards the achievement of quality relationships. It represents an investment in both place relationships and public relations. By integrating such an approach into planning and management, protected area managers can represent the greatest diversity of individual place meanings and connections. relationships, place meanings, trust, narratives, planning, protected areas. (shrink)

The Complaint Service Information System is a web-based platform designed for the Dewantara District Office. The title Complaint Service Information System is based on the need for technological solutions to improve the quality of public services, especially in han-dling public complaints. This system was chosen because it facilitates more efficient complaint reporting, increases transparency, and speeds up responses to issues raised by the public. By applying information technology in handling complaints, it is hoped that we can create a public (...) service environment that is more responsive, open and adaptive to the ever-growing needs of society. The process of cre-ating a complaint service information system involves several main stages. First, the needs analysis stage is carried out to identify and understand the needs of users and related parties in handling complaints. This involves a survey and analysis of associated documents. Next, the system design and design stage involves database structure, user interface, and business logic. This Information System design process involves critical steps to ensure the success and effectiveness of the system, including coding, creating a user interface, and set-ting up a database. The results of designing the Complaint Service Information System include a simple and responsive user interface, an online complaint form, a status tracking system, and analytical reports. A structured and secure database stores, manages, and retrieves complaint data. Afterwards, the implementation phase involves running the entire system and, if necessary, data migration. Through the creation of this Information System, it is hoped to evaluate the impact of the level of accessibility and ease of navigation in the system on employee performance in searching, monitoring and managing incoming complaints. With a web-based approach, this system provides easy, fast access for users from various locations and increases transparency in managing services provided to the community. (shrink)

Low back pain (LBP) carries a high risk of chronicization and disability, greatly impacting the overall demand for care and costs, and its treatment is at risk of scarce adherence. This work introduces a new scenario based on the use of a mobile health tool, the Dress-KINESIS, to support the traditional rehabilitation approach. The tool proposes targeted self-manageable exercise plans for improving pain and disability, but it also monitors their efficacy. Since LBP prevention is the key strategy, the tool also (...) collects real-patient syndromic information, shares valid educational messages and fosters self-determined motivation to exercise. Our analysis is based on a comparison of the performance of the traditional rehabilitation process for non-specific LBP patients and some different scenarios, designed by including the Dress-KINESIS’s support in the original process. The results of the simulations show that the integrated approach leads to a better capacity for taking on patients while maintaining the same physiotherapists’ effort and costs, and it decreases healthcare costs during the two years following LBP onset. These findings suggest that the healthcare system should shift the paradigm towards citizens’ participation and the digital support, with the aim of improving its efficiency and citizens’ quality of life. (shrink)

Abstract: The convergence of nanotechnology and artificial intelligence (AI) represents a transformative frontier in modern science, with the potential to revolutionize multiple industries, particularly healthcare. Nanotechnology enables the manipulation of matter at the atomic and molecular scale, while AI offers sophisticated data analysis, pattern recognition, and decision-making capabilities. This paper explores the synergies between these two fields, focusing on their impact on medical diagnostics, targeted drug delivery, and personalized treatments. By leveraging AI's predictive power and nanotechnology's precision, healthcare can achieve (...) unprecedented levels of accuracy in disease detection and treatment, leading to improved patient outcomes. Beyond healthcare, this convergence extends to environmental monitoring, smart materials, and manufacturing, offering solutions to some of the world’s most pressing challenges. The paper also discusses the ethical considerations and potential risks of integrating AI with nanotechnology, emphasizing the need for responsible innovation. Together, AI and nanotechnology hold the promise of reshaping industries and improving quality of life on a global . (shrink)

The field of mindfulness and the emerging science of heroism have a common interest in the causes and conditions of selfless altruism though up to this point there has been little cross-pollination. However, there is increasing evidence that mindfulness training delivers heroically relevant qualities such as increased attentional functioning, enhanced primary sensory awareness, greater conflict monitoring, increased cognitive control, reduced fear response, and an increase in loving kindness and self-sacrificing behaviors. Predicated on the notion of a “no self,” traditional (...) mindfulness and its focus on enlightenment and selfless service may in fact be ideally suited to the development of the elusive “trait” (predictable) versus “state” (intermittent) heroic character. Interweaving observations and questions drawn from the science of heroism, the article explores the relevant theory, practices, and scientific outcomes of mindfulness. It finds that there is evidence that heroically relevant qualities are trainable with the suite of mindfulness techniques and that an enduring experience of selflessness and service of others (the enlightened hero) may well be within the grasp of the serious practitioner. (shrink)

The emergence of new techniques in both microbial biotechnology and artificial intelligence (AI) is opening up a completely new field for monitoring and sometimes even controlling the evolution of pathogens. However, the now famous generative AI extracts and reorganizes prior knowledge from large datasets, making it poorly suited to making predictions in an unreliable future. In contrast, an unfamiliar perspective can help us identify key issues related to the emergence of new technologies, such as those arising from synthetic biology, (...) whilst revisiting old views of AI or including generative AI as a generator of abduction as a resource. This could enable us to identify dangerous situations that are bound to emerge in the not-too-distant future, and prepare ourselves to anticipate when and where they will occur. Here, we emphasize the fact that amongst the many causes of pathogen outbreaks, often driven by the explosion of the human population, laboratory accidents are a major cause of epidemics. This review, limited to animal pathogens, concludes with a discussion of potential epidemic origins based on unusual organisms or associations of organisms that have rarely been highlighted or studied. (shrink)

Every higher education institution (HEI) needs to monitor the employability status of its graduates as this reflects the quality education that HEIs provide to their students. In this study, a retrospective approach was used to analyze the employment status of graduates of a state university in the Philippines from 2015 to 2019. A data mining procedure was adopted to obtain necessary data and analysis. It was hypothesized in the study that the employment rates are the same across programs per (...) year. Also, the employment rates from 2015 to 2019 are the same as the targeted employment rate in the strategic plan of the university. Statistical treatments such as mean, median, and standard deviation, Shapiro-Wilk test, and Analysis of Variance (ANOVA) were used to test the hypothesis. Results show that the employment rate of graduates of 2015-2019 is in the high-level category and significantly higher than the targeted employment rate in the university strategic plan. Similarly, findings show significant differences in the employability rates of graduates considering the programs they enrolled in. On the contrary, no significant difference in the employment rate of graduates per year graduated. The study concluded that the university is consistent in producing employable graduates. (shrink)

The ear is one of our sensory organs that allow us to perceive our surroundings. We perceive with it the voices that the objects possess by means of the waves within the mass of air surrounding us. In this sense, the ear has an important value for being. In the Qur'an, besides being an ear or a sensory organ, it reveals a person who reflects his level of consciousness and perception, revealing his awareness. It is not just the voices heard; (...) the ear is special importance in understanding what is being said and what is said. Other sense organs and mold are mentioned together because of the feature. Of course, the word "voice" is also on the agenda when the ear is concerned. The verses found at the base of the basic qualities that man should possess present important dynamics about sound. Beyond being a symptom of voice being an inherent symptom, the latest discovery is pointing to the dimension of telling the apocalypse. This study tries to show in what context the hearing aid ear is expressed in the verses and its distinctive features, and its associated value, as well as its inherent value. (shrink)

Vaccination against various diseases has been widely practised for more than a century and on a more limited scale its use in a variety of forms stretches back far longer. During earlier eras disease spread more slowly along shipping lanes on water and traditional transport routes on land. Today, in an era of air transport, contagion spreads far more rapidly. Travelling far more rapidly (indeed instantaneously) is the spread of misinformation that hinders vaccination which can, in the instance of Covid-19, (...) reduce disease impacts, including rates of severe illness and death. This paper explores the ethical issue of informed consent in the context of the contest between personal choice and the greater public welfare. It also makes reference to a number of low, middle and high income countries where vaccine hesitance, and to a lesser extent refusal, has been fed by misinformation on a scale not previously observed but made possible by the proliferation of modern technology. This campaign of ignorance has further undermined trust in governmental health bodies and their attempts to implement quarantine and other measures such as vaccination that had already been damaged by early variations and vacillation in governmental approaches around the globe due in part to a reluctance by some governments to take actions that would have economic repercussions but also by the necessary evolution of their approaches as more became known about the disease and its variants. The paper examines the historical background and the current situation and finds that more must be done to restore or increase trust levels between citizens and governmental authorities, including the dissemination of high quality accurate information in a form relevant to readers/viewers. While potential side-effects of vaccines must be disclosed to ensure informed consent, their incidence should also be clearly communicated (e.g., in vaccine information statements) so that clients/patients are aware that a risk is 1 in 100 or 1in 1000 or 1 in 2 million etc. Governments are urged to learn from their experience and better prepare for inevitable future pandemics to minimise vaccine hesitancy and refusal and maximise its acceptance where evidence is overwhelming as to the benefit to the community. Informed consent is part of the context of efforts to use vaccination to contain or eradicate any disease. Nevertheless, while better information for clients/patients/consumers may reduce vaccine hesitancy/refusal, it is unlikely that it would but eliminate the need for mandating vaccination in some circumstances for the benefit of the broader community, although strict quarantine of those reluctant to accept it is an alternative but one not generally accepted by those reluctant to be vaccinated. The information war is one that needs to be won to increase the voluntary uptake of vaccination in the context of voluntary informed consent. (shrink)

Given that one-million species are currently threatened with extinction and that humans are undermining the entire natural infrastructure on which our modern world depends (IPBES, 2019), this dissertation will show that there is a need to provide an alternative approach to wildlife conservation, one that avoids anthropocentrism and wildlife valuation on an instrumental basis to provide meaningful and tangible success for both wildlife conservation and human well-being in an inclusive way. In this sense, The Value of Being Wild will showcase (...) the concept of eco-phenomenology as an important non-anthropocentric alternative to the current approach to wildlife conservation, namely sustainable development. The problem with this dominant paradigm, as Chapter Two will reveal, is that sustainable development has not only failed to provide humans and future generations of humans with their own needs but, as per the latest IPBES report, failed in arresting the freefall decline of wild species. The situation currently requires a radical overhaul of the current system. As emerged from the later work of French phenomenologist, Maurice Merleau-Ponty (1908-1961), eco-phenomenology is particularly well-suited as a practical alternative to sustainable development. The core reason is that eco-phenomenology moves away from a human-centred framework toward a far more inclusive approach that embraces the conservation of wild animals as well the wild environment they dwell in, beyond any human needs (although humans are embraced within the approach too). Merleau-Ponty helps us to move away from anthropocentrism to a more inclusive approach in conserving wildlife, since his phenomenology does not consider the human animal’s relationship in the world as exclusive (to use and exploit wild animals solely for their benefit), but inclusive (as an interconnected biological component in a broad ecological system). The strength of Merleau-Ponty’s concept of phenomenology is that it facilitates an understanding of all living and even non-living entities, such as air, water and soil, as interconnected and interrelated within a broad biosphere. While Merleau-Ponty did not address the concept of wild animals or the biosphere directly, his later work points to the fact that human animals cannot exist outside a world that provides life-giving force to all living beings. Phenomenology, as developed by Merleau-Ponty, is a concept that recognises the axiological qualities of the natural world are inherent and ineliminable from the discipline of traditional phenomenology, hence the term ‘eco-phenomenology’, developed in one reception of his thinking. Eco-phenomenology offers a return to a world that humans have tried hard to alienate themselves from, in that it approaches the natural environment and wild animals, not as a complex set of objects and objective processes, but rather as they are experienced and lived from within by the attentive animal who is entirely a part of the world that he or she experiences. Merleau-Pontian eco-phenomenology thus emphasises a holistic dialogue within a more-than-human world (Abram, 1996: 65). Eco-phenomenology is a concept that points toward an applied strategy but so far this has not been attempted in earnest. This is specifically true when it comes to wildlife conservation. The Value of Being Wild, therefore, sets out to employ the concept of eco-phenomenology in order to provide a new practical wildlife conservation approach that challenges, and potentially replaces, the current prevailing policies as employed by global governmental and inter-governmental agencies. In particular, this alternative frame is posed as a replacement for the failing anthropocentric conservation practices currently in place in South Africa. This dissertation will therefore conclude by exploring strategies where conservation of wildlife is not taken as instrumentally-valued, or even intrinsically-valued, but rather as wild-valued in that the existence of wild animals as wild is conserved within a broader, more inclusive overall ecology that supports the survival and flourishing of all living beings that include plants, wild animals and human beings. (shrink)

This article analyzes the value of geometric models to understand matter with the examples of the Platonic model for the primary four elements (fire, air, water, and earth) and the models of carbon atomic structures in the new science of crystallography. How the geometry of these models is built in order to discover the properties of matter is explained: movement and stability for the primary elements, and hardness, softness and elasticity for the carbon atoms. These geometric models appear to have (...) a double quality: firstly, they exhibit visually the scientific properties of matter, and secondly they give us the possibility to visualize its whole nature. Geometrical models appear to be the expression of the mind in the understanding of physical matter. (shrink)

The mythical bronze creature Talos (Greek: Τάλως) was worshiped initially as the god of light or the sun in the Hellenic Island of Crete. He is supposed to have lived in the peak Kouloukona of the Tallaia Mountains in the Gerontospelio cave. His relation towards bronze and fire and his continuous voyage circling the island of Crete most probably introduces the concept of the change of the four seasons. The sun was considered in the area of the South-East Mediterranean nations (...) as just judge, a guardian who monitors and judges from above all the actions of the commoners, a controller for the faithful application of laws in Crete [1]. Hesychios in his Lexicon notes that talos means sun and that the name Tallaios was initially attributed to Zeus [2]. The birth of the Olympian gods forged a new Pantheon and nomenclature forcing some of the old gods to fell into lower deities. This happened to Talos who soon became a mythical hero [1]. According to Apollodorus, the bronze creature was forged by the magnificent constructor Hephaestus as a gift to the mythical King Minoa to help him guard the island [3]. Although the verb “peritrohazo” (Greek: περιτροχαζω) was used, meaning a movement in a steady orbit (track), some depictions image him as a winged being. To protect the island, he was throwing rocks into unknown ships or in the case of a foreign landing he was burning with fire or with his flamed bronze body the intruders. He was holding copper plates with the laws of the island and his circle allowed him to pass all island sores three times daily [1,4-6]. Plato, speaks of him as a real person, suggesting he was the brother of King Rhadamanthys, thus a son of Zeus [5]. Talos may be considered as the token of the Cretan power, a symbol of technological development in the field of metalworking in prehistoric and Minoan times. An animated, programmed gigantic android to enforce its will. A primitive robot for basic actions having a power source, fire and ichor (Greek: ιχώρ) the sacred fluid in the vessels of the gods. The first manufactured being with his individual intelligence, a primary concept of artificial intelligence (AI) [7]. -/- Homer was the first to introduce the term automata (Greek: αυτόματα), to describe ingenious machines built by the supreme blacksmith god of invention and technology, God of metal and fire, Hephaestus, manufactured devices “acting of one’s own will” as the Hellenic word indicates [8]. Eons later, the humanoid automaton the “Automa cavaliere” (English: Automaton knight) appeared in the court of the nobleman and Duke of Milan Ludovico Maria Sforza. It was the year 1495, when Leonardo da Vinci presented his robotic knight, an innovative construction operated by a series of pulleys and cables, presenting though no individual mind. Although it was manufactured by a highly intelligent polymath, it could only be operated through an outer intelligence [9]. Advancements made during the Fourth Industrial Revolution allowed modern technology to manufacture intelligent machines to aid the field of invasive surgery. One of those most sophisticated devises is the da Vince Surgical Tower. -/- Launched in the setting of the 21st century, the DaVinci System is one of the most commonly employed tools/systems, which has prevailed in the field of robotic-assisted surgery [10]. One could claim that it practically reshaped the concept of surgery, providing doctors with immense capabilities, aiming towards the optimal post-operative outcome. Through visual augmentation, high resolution 3D video, enhanced precision and reduced complication rates [11] the DaVinci Si and the latest DaVinci Xi system have been implemented in a variety of surgeries, including but not limited to general, urologic, gynecologic, thoracic and even cardiac procedures; valve and coronary artery bypass graft operations [12,13]. Da Vinci is cleared globally for cardiosurgery and came in vogue to fulfill the dream of cardiac surgeons to operate in closet chest. It offers in patients the same benefits as those that open chest incision surgery procedures do [14]. -/- The more recent DaVinci Xi model was introduced to counteract commonly known drawbacks of the Si system, such as the inability to simultaneously manipulate the different abdominal quadrants [10]. It consists of four boom mounted robotic arms along with a mobile platform and a master console. The latter with the adaptable intraocular distance, the cushioned headrest, the modifiable arm bars and the flexible finger loops, is meticulously designed to meet the surgeon´s “demands” [12]. Every robotic arm has three degrees of freedom, which combined with the EndoWrist technology to imitate the delicate motion of the surgeon´s hand, acquires an extra seven degrees of freedom. Evidently, the combination of the user-friendly interface, the high-quality 3D intraoperative images, the multiple joints and sensors, as well as the surgeon himself, who can learn to handle the DaVinci Xi Surgical System in a relatively short period of time, has established the model in the surgical armamentarium, paving the way towards a continuously progressive future of minimally invasive and robotic surgery (Figure 1) [12]. -/- History testifies that the nomination of the AI surgical tower as da Vinci was wrongfully given to commemorate a majestic historical figure. It is clear that the mythical creature Talos which was fabricated by the ingenious god Hephaestus was the first true automaton in the line of AI origins. (shrink)