Intelligent Life Research Articles

Eta-Earth Revisited I: A Formula for Estimating the Maximum Number of Earth-Like Habitats.

In this hypothesis article, we discuss the basic requirements of planetary environments where aerobe organisms can grow and survive, including atmospheric limitations of millimeter-to-meter-sized biological animal life based on physical limits and O2, N2, and CO2 toxicity levels. By assuming that animal-like extraterrestrial organisms adhere to similar limits, we define Earth-like habitats (EH) as rocky exoplanets in the habitable zone for complex life that host N2-O2-dominated atmospheres with minor amounts of CO2, at which advanced animal-like life or potentially even extraterrestrial intelligent life can in principle evolve and exist. We then derive a new formula that can be used to estimate the maximum occurrence rate of such Earth-like habitats in the Galaxy. This contains realistic probabilistic arguments that can be fine-tuned and constrained by atmospheric characterization with future space and ground-based telescopes. As an example, we briefly discuss two specific requirements feeding into our new formula that, although not quantifiable at present, will become scientifically quantifiable in the upcoming decades due to future observations of exoplanets and their atmospheres. Key Words: Eta-Earth-Earth-like habitats-oxygenation time-nitrogen atmospheres-carbon dioxide-animal-like life. Astrobiology 24, 897-915.

Multifunctional pressure and humidity sensor modulated by electrostatic interactions and hydrogen bonds for wearable health monitoring

Breathing and urination, are vital physiological activities of the human body, continuous real-time monitoring of these physiological behaviors could offer timely feedback on an individual’s health status. However, current monitoring techniques predominantly rely on cumbersome and intricate medical apparatuses, posing challenges in adapting to the diverse requirements of multi-scenario detection. Consequently, there is a growing interest in developing wearable devices capable of monitoring breathing and urination. In this work, we developed a multifunctional sensor integrating humidity and pressure sensing modes using a simple dip-coating process. By introducing sodium carboxymethyl cellulose and conductive polyaniline hybrid intercalation between MXene layers, a stable conductive network is established through hydrogen bonds and electrostatic interactions among materials. The overall electromechanical properties of the composites will be well improved. And, the effects of different conductive filler ratios and the number of dipping times on the construction of conductive networks are investigated. The multifunctional sensor exhibited improved sensing characteristics, including detecting pressures up to 532 kPa and a sensitivity of 19.58 kPa−1. Furthermore, it also demonstrates good humidity-sensing capabilities. Tests on volunteers demonstrated the potential in the detection of breathing and urination. In addition, the sensors are capable of transmitting Morse code. This interesting application will offer the possibility of normal communication for people with speech impairments. Given its utility and sustainability, the sensor has potential for applications in wearable health monitoring, intelligent life and telemedicine.

Availability of Evidence for Predictive Machine Learning Algorithms in Primary Care

The aging and multimorbid population and health personnel shortages pose a substantial burden on primary health care. While predictive machine learning (ML) algorithms have the potential to address these challenges, concerns include transparency and insufficient reporting of model validation and effectiveness of the implementation in the clinical workflow. To systematically identify predictive ML algorithms implemented in primary care from peer-reviewed literature and US Food and Drug Administration (FDA) and Conformité Européene (CE) registration databases and to ascertain the public availability of evidence, including peer-reviewed literature, gray literature, and technical reports across the artificial intelligence (AI) life cycle. PubMed, Embase, Web of Science, Cochrane Library, Emcare, Academic Search Premier, IEEE Xplore, ACM Digital Library, MathSciNet, AAAI.org (Association for the Advancement of Artificial Intelligence), arXiv, Epistemonikos, PsycINFO, and Google Scholar were searched for studies published between January 2000 and July 2023, with search terms that were related to AI, primary care, and implementation. The search extended to CE-marked or FDA-approved predictive ML algorithms obtained from relevant registration databases. Three reviewers gathered subsequent evidence involving strategies such as product searches, exploration of references, manufacturer website visits, and direct inquiries to authors and product owners. The extent to which the evidence for each predictive ML algorithm aligned with the Dutch AI predictive algorithm (AIPA) guideline requirements was assessed per AI life cycle phase, producing evidence availability scores. The systematic search identified 43 predictive ML algorithms, of which 25 were commercially available and CE-marked or FDA-approved. The predictive ML algorithms spanned multiple clinical domains, but most (27 [63%]) focused on cardiovascular diseases and diabetes. Most (35 [81%]) were published within the past 5 years. The availability of evidence varied across different phases of the predictive ML algorithm life cycle, with evidence being reported the least for phase 1 (preparation) and phase 5 (impact assessment) (19% and 30%, respectively). Twelve (28%) predictive ML algorithms achieved approximately half of their maximum individual evidence availability score. Overall, predictive ML algorithms from peer-reviewed literature showed higher evidence availability compared with those from FDA-approved or CE-marked databases (45% vs 29%). The findings indicate an urgent need to improve the availability of evidence regarding the predictive ML algorithms' quality criteria. Adopting the Dutch AIPA guideline could facilitate transparent and consistent reporting of the quality criteria that could foster trust among end users and facilitating large-scale implementation.

The Ethics of Astrobiology and the Cosmic Bet Argument

Stephen Weinberg posited in 1977 that as the universe becomes more comprehensible, it appears more meaningless owing to a strict division between facts and values. He seemingly overlooked the consideration of the purposes and values of intelligent life in examining its ability to influence the universe's development. The scientific revolution, initiated by Copernicus's heliocentric hypothesis and furthered by Darwin's theory, shifted humanity's perceived place in the cosmos, removing the sacred. However, developments in astrobiology and discoveries related to the Fermi Paradox and the Rare Earth Hypothesis are hinting at humanity's significant role in the universe, suggesting we might be the only intelligent species. This paper argues that advancing scientific knowledge reinforces the hypothesis of human exclusivity and importance in the cosmos, making the potential sixth mass extinction cosmically significant and underscoring the imperative of human persistence in the cosmos.

Intelligent Life Cycle Cost-Based Framework for Seismic Design of Conventional Structures

Intelligent Life Cycle Cost-Based Framework for Seismic Design of Conventional Structures

A human-centred approach to symbiotic AI: Questioning the ethical and conceptual foundation

This paper advocates for a constructivist approach to symbiosis to restore human-centredness in the governance of Symbiotic Artificial Intelligence (SAI). Challenging rigid, deterministic foundational methods warns against the risk of divorcing ethics from mere adherence to moral principles. Instead, it calls for a shift towards a distributed, contextual, relational, and dialectical structure to embody human-centredness. Through an analysis of the SAI landscape and its interplay between social and technological factors, the paper argues for a reconceptualisation of theoretical foundation and human responsibility within the socio-technical perspective. Chapter 2 delves into foundational issues of SAI, questioning the application of biological categories and proposing patterns of SAI based on definitions of intelligent life. Chapter 3 explores the potential of a constructivist approach, emphasising flexibility and context awareness, and presents a framework for understanding and evaluating SAI systems, components of an evolving methodology.

Blockchain-based 6G task offloading and cooperative computing resource allocation study

In the upcoming era of 6G, the accelerated development of the Internet of Everything and high-speed communication is poised to provide people with an efficient and intelligent life experience. However, the exponential growth in data traffic is expected to pose substantial task processing challenges. Relying solely on the computational resources of individual devices may struggle to meet the demand for low latency. Additionally, the lack of trust between different devices poses a limitation to the development of 6G networks. In response to this issue, this study proposes a blockchain-based 6G task offloading and collaborative computational resource allocation (CERMTOB) algorithm. The proposed first designs a blockchain-based 6G cloud-network-edge collaborative task offloading model. It incorporates a blockchain network on the edge layer to improve trust between terminals and blockchain nodes. Subsequently, the optimization objective is established to minimize the total latency of offloading, computation, and blockchain consensus. The optimal offloading scheme is determined using the wolf fish collaborative search algorithm(WF-CSA) to minimize the total delay. Simulation results show that the WF-CSA algorithm significantly reduces the total delay by up to 42.58% compared to the fish swarm algorithm, wolf pack algorithm and binary particle swarm optimisation algorithm. Furthermore, the introduction of blockchain to the cloud-side-end offloading system improves the communication success rate by a maximum of 14.93% compared to the blockchain-free system.

Highly sensitive humidity sensor based on composite film of partially reduced graphene oxide and bacterial cellulose

Breathing is an important physiological activity of human body, which not only reflects the state of human movement, but also is one of the important health indicators. Breathing can change the concentration of water molecules, so monitoring humidity has gradually become a hot topic in modern research. In this study, a humidity sensing composite film with high sensitivity and short response time was made by using the mixture of graphene oxide (GO) and bacterial cellulose (BC) with simple dry film-forming method. L-ascorbic acid was used as reducing agent to reduce GO and improve the conductivity of GO/BC composite film (BG). The influence of different BC contents and the different reduction degree on the resistance change rate of composite film was investigated in details. The maximum resistance change rate of partially reduced BG humidity sensitive composite film reached up to 94%, and the response and recovery time were 13 s and 47 s respectively. Furthermore, the sensor shows obvious resistance change in noncontact sensing test and different breathing states. This kind of humidity sensitive film with fast response and high sensitivity has great potential in human health monitoring and noncontact sensing, and is of great significance in promoting health detection and intelligent life.

How Chaos Theory Brings Order to the Evolution of Intelligence

This study investigates links between human evolution, information transmission processes, and Chaos Theory, revealing a mathematical pattern underlying evolutionary milestones. By examining the timing of new methods of information transmission, the research confirms a suspected correlation with the Feigenbaum constant δ, a universal factor in Chaos Theory and also found in complex systems. This pattern is prominent in cultural evolution but also extends to biological evolution, as well as to the evolution of written language, suggesting a predictable framework for understanding the progression of complexity in life. The study incorporates findings from various disciplines, including cognitive science, archaeology, and nonlinear dynamics, providing evidence that our development, while it may be random in most aspects, is deterministic in the way complexity grows steadily and evolves information transmission of increasing sophistication. This multidisciplinary approach offers new insights into the links between chaos, complexity, and information, and their role in driving the evolution of intelligent life.

Is artificial intelligence the great filter that makes advanced technical civilisations rare in the universe?

This study examines the hypothesis that the rapid development of Artificial Intelligence (AI), culminating in the emergence of Artificial Superintelligence (ASI), could act as a "Great Filter" that is responsible for the scarcity of advanced technological civilisations in the universe. It is proposed that such a filter emerges before these civilisations can develop a stable, multiplanetary existence, suggesting the typical longevity (L) of a technical civilization is less than 200 years. Such estimates for L, when applied to optimistic versions of the Drake equation, are consistent with the null results obtained by recent SETI surveys, and other efforts to detect various technosignatures across the electromagnetic spectrum. Through the lens of SETI, we reflect on humanity's current technological trajectory – the modest projections for L suggested here, underscore the critical need to quickly establish regulatory frameworks for AI development on Earth and the advancement of a multiplanetary society to mitigate against such existential threats. The persistence of intelligent and conscious life in the universe could hinge on the timely and effective implementation of such international regulatory measures and technological endeavours.

Dependability model of automated intelligent regenerative life support system for space missions

Long-duration human space missions require intelligent regenerative life support systems that can recycle resources and automatically manage failures. This paper explores using Petri nets to model the reliability and complex interactions of such closed-loop systems. An architecture consisting of primary systems, backups, and consumable reserves is outlined. The automation system that controls everything is described. Petri nets can capture concurrency, failure modes, redundancy, and dynamic behavior. A modular modeling methodology is presented to develop hierarchical Petri net models that scale in fidelity. Elementary fragments represent failures and redundancy. Subsystem modules can be substituted for more detailed models. Analysis and simulation assess system reliability and failure response. This supports designing ultra-reliable systems to safely sustain human life in space.

A Proposal for Enhancing Technosignature Search toward the Galactic Center

We discuss the possibility of enhancing intelligent life searches toward the Galactic center. From the clockwork orbital motions of stars around the Sgr A* black hole, we can determine the distance to the Galactic center at an exceptional accuracy, despite its remoteness ∼8.3 kpc. In addition, we can define precise reference epochs by selecting a prominent object such as the bright B-type star S2. These properties have a particular affinity for the coordinated signaling scheme that was hypothesized by Seto for systematically connecting intentional senders to searchers without a prior communication. If S2 is actually being used as a common reference clock, we can compress the search directions around the Galactic center by more than 2 orders of magnitude, with the scanning interval of ∼16 yr.

Once in NEET, always in NEET? Childhood and adolescent risk factors for different NEET patterns.

Young adults in Neither in Employment, Education nor Training (NEET) are at risk of adverse labour market outcomes. Earlier studies often measured NEET status at one time point or compared persistent NEETs with non-NEETs, neglecting other patterns of NEET status. Evidence on early life factors associated with NEET patterns is lacking. This study aims to (i) identify patterns of NEET status over time and (ii) examine whether factors in childhood and adolescence are associated with these patterns. Data were used from 1499 participants of the TRacking Adolescents' Individual Lives Survey (TRAILS), a Dutch prospective cohort study with 15-year follow-up. NEET status was assessed at ages 19, 22 and 26. Socioeconomic status of parents (SES), intelligence and negative life events were measured at age 11, educational attainment at age 26 and mental health problems at ages 11, 13.5 and 16. Data were analyzed using multinomial logistic regression analysis. Four NEET patterns were identified: (i) non-NEETs (85.2%), (ii) early NEETs (4.5%), (iii) late NEETs (5.7%) and (iv) persistent NEETs (4.5%). Reporting internalizing problems at age 11 was a risk factor for early and late NEETs [odds ratio (OR) 2.77, 95% confidence interval (CI) 1.16-6.62; OR 5.00, 95% CI 2.22-11.3, respectively]. Low parental SES, lower intelligence scores and negative life events (≥3) were risk factors for persistent NEETs (OR 4.45, 95% CI 2.00-9.91; OR 0.96, 95% CI 0.94-0.98; OR 4.42, 95% CI 1.62-12.08, respectively). The results highlight the importance of timing and duration of NEET status and emphasize the need for tailored interventions to prevent specific NEET patterns.

Research on the Dual Dimensions of Artificial Intelligence in Precision Ideological and Political Education in Universities

The article discusses the dual directions of AI-enabled ideological and political education, i.e., the technical direction and the social direction. In the technical direction, AI-enabled ideological and political education should focus on "accurate ideology and politics", and build a form of "accurate ideology and politics" based on the logic of content, technology and subject. In the social direction, AI-enabled ideological and political education should focus on "intelligent ideology and politics", and build a form of "intelligent ideology and politics" that is based on intelligent life, enhances intelligent thinking, and realizes the integration of reality and reality. This paper emphasizes that accurate ideology and politics is led by intelligent ideology and politics, and intelligent ideology and politics is based on accurate ideology and politics, which are complementary and inseparable.

The Same Completely Inclusive Faith with Its Principium of Natural Laws of the Compounding-Corresponding-Trinity Presents and Unfolds Through Different Ways and Methods in Science, Philosophy, Religion…..

The text inherits from the history of human civilization of "The same completely inclusive faith with its laws of the Trinity" that expressed in various ways across civilization and cultures. Examples of this inheritance include the Trinity of Greek and Roman philosophy; the representation of "Faith in God and Its Trinity Laws" through the "Cross" in the Bible; the Quran's representation of "Faith in Allah and Its Laws of Allah's Star and Moon"; the Buddhist scriptures' representation of "Faith in Buddha and Its Laws of Trilakāya" through "The Revolving Cross"; and Chinese philosophy in Tao Te Ching and The Book of Change, which shares the concept of "Faith in Tao and (Entailment of The) One Yin, (Presenting of The) One Yang, called The Tao (Laws)" symbolized by "Yin Yang Ball". Additionally, various faiths represent their Trinity-Laws using symbols such as “Hermaphrodite Baphomet” or “Pentagram and circle compounded together as one", facilitating communication between Christianity and Islam. However, human societies, groups, and individuals often fail to integrate human knowledge and experiences fully, resulting in a partial understanding of these concepts (even if Awakened monks and hermits exist, they might face interdisciplinary or language barriers hindering the spread of truth).Start open “The Same Completely Inclusive Scientific Faith with Its Principium of Natural Laws of The Compounding-Corresponding-Trinity”which relies on “The Three Major Natural Complementary Principles” that build up by “Laws of Personality” which also is “Principium of Commonality”. And are fundamentally compounding and corresponding, clarifying the existing ways and existing relationships of the trinity of all things. Lay the foundation for humanity to achieve reconciliation, reach consensus, and jointly building "The Everbright Era of Earth Human Democratic Federation’s Scientific Social Public Morality Mature Self-Consistent Guarantee Node-System". And escorting human beings to advance to the ranks of intelligent life in the universe that consciously abides by the laws of the universe.

The Temporal Contact Equation: An Estimate for the Time of First Contact with ETI

First contact between humanity and ExtraTerrestrial Intelligence (ETI) has been a subject for interesting debate particularly over the last century. It is now possible to estimate the likely time-scales for when this may occur due to the significant development of two separate disciplines of knowledge; interstellar propulsion theory and the discovery of exoplanets. This paper demonstrates such a calculation with the aim of provoking discussion and preparations where appropriate. It is estimated on the speculative assumption that if intelligent (advanced technological) life existing within ~200 light years (ly) of Sol first contact may occur as early as in the next ~1-2 centuries depending on the velocity maturation level and technological growth model assumptions. This calculation has been made purely on the basis of our arrival out there and does not take into account the possibility of them arriving here which may be much earlier or could have occurred already. Keywords: Interstellar studies, Exoplanets, SETI

Human-computer interaction: Evaluation of trust and emotional

With the advancement of information technology, human-computer interaction is becoming increasingly intelligent. This progress has led to the transformation of the car cabin from a simple driving space to an intelligent mobile life terminal. At the same time, more and more people have psychological problems in modern society, and timely adjustment of their negative emotions is of great practical significance to social harmony and stability. Traditional methods of emotion regulation require a lot of manpower and energy. Hence, this paper presents an approach that utilizes text dialogue and somatosensory interaction to detect the users emotions and subsequently adjust them. By examining and analyzing the current research landscape, the objective of this study is to offer insights for designing trustworthy and emotionally-responsive interactions in the automotive context. It can bring a better driving experience to smart car users and bring benefits to many companies. It is of great scientific and application value to carry out this research in depth to promote the development of human-computer interaction. Through literature review, case study, theoretical analysis and other research methods. This paper sorts out the establishment of trust degree and recognition of emotional changes in human-computer interaction, and puts forward the role, defects and improvements of trust establishment in human-car cooperation, as well as the reasons affecting user emotions, and how to improve the defects of the application of voice emotion recognition. It also discusses difficulties in establishing trust and misperception of emotions.

The mediating roles of travel motives and social capital on the relationship between cultural intelligence and general life satisfaction

ABSTRACT Drawing on the Ability-Motivation-Opportunity (AMO) theory, this study examines how cultural intelligence affects travel motives and the development of bonding social capital. The interactions among cultural intelligence, travel motives, bonding social capital and overall life satisfaction were tested empirically, in particular the mediating effect of travel motives and bonding social capital. Findings support the AMO theory, demonstrating the significant interactions among cultural intelligence, travel motives and bonding social capital. Interestingly, travel motives and bonding social capital can fully mediate the relationship between cultural intelligence and overall life satisfaction. This study expands our sound understanding of cultural intelligence, travel motives, and bonding social capital in tourism and the crucial roles of travel motives and bonding social capital in predicting overall life satisfaction, and provides insights in destination marketing strategy development.

Artificial Intelligence Perceptions and Life Satisfaction

The paper estimates whether there is any relationship between life satisfaction and people’s perceptions towards artificial intelligence. Using data from 39 European countries collected in 2021, it is consistently found that people with negative perceptions report lower life satisfaction. This finding is robust across a number of robustness checks. This provides further evidence that people may fear some new technologies, in this case artificial intelligence, which adds weight to governments needing to establish moratoriums to openly discuss what the objectives of new science, technologies and innovations are and how best to manage and steer policy and regulation to achieve these objectives.

Reflecting on Our Present Self‐Awareness of Not Having Found Any Life Beyond Earth

AbstractEver gazed at the stars and wondered if we’re alone? Scientists have been on a quest to find life beyond Earth, but no aliens yet. It’s tough because space is huge, and potential life is incredibly far away, making it difficult to detect their signals. Despite this, our ability to search is improving. We’ve found many planets around other stars, hinting at more places where life could be. But life, especially intelligent life, seems to be a rare occurrence, which makes our existence on Earth quite extraordinary. Recording our search for extraterrestrial life is crucial. It’s a way for future generations or even other civilizations to understand our era and our views of the cosmos. It also makes us reflect on our own behavior on Earth, hinting that insights from the search might help us coexist more harmoniously.