New Issue to Modeling Intentionality in the Field of Consciousness

Brentano in 1870s was the first to introduce intentionality to mean “conscious of”. At the end of the 1960s, a version of this view was developed by analytic American philosophy to construct a theory of meaningful language. That led Dennett to claim that intentionality was mainly a feature of sentence, not mental states. In contrast, Searle in 1990s rejected the Brentanian thesis and explained intentionality by a biological naturalism. Thereafter, radical eliminativists such as Churchland claimed that all philosophical arguments merited replacement by neuroscientific knowledge. Unfortunately, very few neurophysiological studies attempted to scientifically tackle the problem raised by intentionality. The issue now emerging is a new conception of intentionality based on phenomenological, neurobiological and quantum theories, such as: 1) the notion of “intentional arc” proposed in the philosophy of Merleau-Ponty;2) the neurobiological and quantum model of Freeman, in which self-organizing pathways are accompanied by quantum transitions in controlling intentionality in brain;3) the recent hypothesis that some visuo-motor neurons would be involved in controlling these self-organized pathways;4) the quantum models of Vitiello and Globus, in which a thermofield (dissipative) system governs the dynamic dialog of dual quantum modes between environment and brain. Based on this conception of mind-world interactions, it implicitly appears that intentionality might be a fundamental force which draws us irreversibly towards the future. An alternative hypothesis based on this promising proposal is argued.

Neo-Empiricism and Intentionality

A revival of empiricist theories in cognitive psychology, neuropsychology, and philosophy has been led by figures such as Antonio Damasio （1994）, Lawrence Barsalou （1999）, George Lakoff （1987）, and Jesse Prinz （2002; 2004）. Their work has served to connect familiar empiricist approaches to thought and reason with contemporary cognitive psychology and neuroscience. The work of Prinz is of special philosophical significance since it aims to bring together the work of neo-empirically minded theorists in the cognitive and neuro-sciences with main themes found in contemporary philosophical theories of intentionality and reference. In this paper, I examine Prinz＇s efforts to synthesize a neo-empiricist theory of concepts with contemporary semantic theories of reference and intentionality. In part one, I analyze Prinz＇s approach in some depth. In part two, I raise a question concerning the origins of intentionality. Specifically, I am interested in examining the minimum cognitive prerequisites for intentionality within Prinz＇s theory of perception-based representation. In part three, I raise a problem case for Prinz＇s account of the requirements for intentionality, and propose an adjustment in Prinz＇s account to meet the challenge of the objection.

The Phenomenological Roots of Technological Intentionality:A Postphenomenological Perspective

Interest concerning the problem of technological activity has grown in philosophical discussions during recent decades.The crux of the matter is whether technological objects are mere means for achieving human goals or possess some sort of inherent active quality of their own that influences our behavior,perception,goals,and ethical beliefs.In this article,I aim to show that technology exhibits a specific quality of engagement that can be more clearly understood through the notion of technological intentionality.The term“technological intentionality”was first coined by the postphenomenological school of thought.However,it continues to beg for a more comprehensive and profound elucidation.In my investigation,I introduce the notion of technological intentionality from two major perspectives.The first perspective is deeply intertwined with Husserl’s notion of intentionality.Intentionality,in this context,represents an act through which a connection(or unity)between humans and the world can be reached.In my examination of the second perspective,I unpack the notion of technological intentionality and offer a conceptual description of its structure.Here I argue that technological intentionality is a specific sort of active relationship that appears between human consciousness and the world each time a technological object is in use.Technological objects here are not just passive instruments,but they also actively connect us with the environment in which we live.

Improving innovation and entrepreneurship education in higher institutions: the impact of "Mass Entrepreneurship and Innovation" education on undergraduates' entrepreneurial intentions

The exploration of the way"mass entrepreneurship and innovation"(MEI)education influences students'aspirations to become entrepreneurs has grown into an important area of analysis in studies related to higher education.This research intends to examine the consequences of MEI education on students'tendency towards entrepreneurship,and to put forward methods for augmenting the teaching of innovation and entrepreneurship in private higher educational establishments.To achieve this objective,questionnaires and semi-structured interviews were employed in the study,which involved a total of 197 students and five education experts.The statistical analysis of the questionnaire data revealed that MEI education was positively related to students'entrepreneurial intentions,and that both entrepreneurial experience and family entrepreneurial background played moderating roles in this relationship.The interview findings indicated that private universities could enhance educational reforms by designing talent training programs,developing diversified curricula,and developing more professional entrepreneurial platforms to encourage students'entrepreneurial intentions.This study offers fresh insights for improving and perfecting the mechanism of innovation and entrepreneurship education in private universities.

Cardiovascular health awareness,risk perception,behavioural intention and INTERHEART risk stratification among middle-aged adults in Malaysia

Objective:To investigate the interrelationship between cardiovascular health awareness,risk perception,behavioural intention,and INTERHEART risk stratification in a middle-aged adult population in Malaysia.Methods:A cross-sectional survey with convenience sampling was conducted during November 2022 and January 2023.Participants completed validated questionnaires assessing cardiovascular health awareness,risk perception of cardiovascular diseases,behavioural intention towards adopting healthy habits,and INTERHEART risk stratification score(IHRS)based on established risk factors.A total of 602 respondents were included in the final analysis.Data were analysed with independent t-test/one-way ANOVA or Mann-Whitney/Kruskal-Wallis to test the differences,Pearson correlation or linear regression test to analyze the association of independent and dependent variables.Results:There was a significant positive correlation between medical knowledge related to cardiovascular disease(CVD)and knowledge related to CVD risk prevention,risk perception,behavioural intention and IHRS(P<0.05,Pearson correlation).Notably,individuals with higher IHRS tended to have lower knowledge related to CVD and CVD risk prevention,risk perception,and behavioural intention.Males,laborers,active/former smokers,individuals with lower household income and educational levels,those involved in occupations not related to the healthcare sector,and those who did not receive the CVD health brochure or are unaware of health self-assessment tools are likely to have lower levels of knowledge,risk perception,and poorer behavioural intention regarding cardiovascular health(P<0.05,one-way ANOVA).While educational level,smoking status,awareness about CVD poster,self-assessment tools were repeatedly significantly associated with knowledge related to CVD and CVD risk prevention,risk perception,behavioral intention and/or IHRS(P<0.05,linear regression).Conclusions:These findings underscore the importance of promoting cardiovascular health awareness and risk perception among middle-aged adults to foster positive BI and reduce CVD risk.Tailored interventions targeting specific risk factors identified by INTERHEART may enhance risk stratification accuracy and facilitate targeted preventive strategies.

CBA: multi source fusion model for fast and intelligent target intention identification

How to mine valuable information from massive multisource heterogeneous data and identify the intention of aerial targets is a major research focus at present. Aiming at the longterm dependence of air target intention recognition, this paper deeply explores the potential attribute features from the spatiotemporal sequence data of the target. First, we build an intelligent dynamic intention recognition framework, including a series of specific processes such as data source, data preprocessing,target space-time, convolutional neural networks-bidirectional gated recurrent unit-atteneion (CBA) model and intention recognition. Then, we analyze and reason the designed CBA model in detail. Finally, through comparison and analysis with other recognition model experiments, our proposed method can effectively improve the accuracy of air target intention recognition,and is of significance to the commanders’ operational command and situation prediction.

KGTLIR:An Air Target Intention Recognition Model Based on Knowledge Graph and Deep Learning

As a core part of battlefield situational awareness,air target intention recognition plays an important role in modern air operations.Aiming at the problems of insufficient feature extraction and misclassification in intention recognition,this paper designs an air target intention recognition method(KGTLIR)based on Knowledge Graph and Deep Learning.Firstly,the intention recognition model based on Deep Learning is constructed to mine the temporal relationship of intention features using dilated causal convolution and the spatial relationship of intention features using a graph attention mechanism.Meanwhile,the accuracy,recall,and F1-score after iteration are introduced to dynamically adjust the sample weights to reduce the probability of misclassification.After that,an intention recognition model based on Knowledge Graph is constructed to predict the probability of the occurrence of different intentions of the target.Finally,the results of the two models are fused by evidence theory to obtain the target’s operational intention.Experiments show that the intention recognition accuracy of the KGTLIRmodel can reach 98.48%,which is not only better than most of the air target intention recognition methods,but also demonstrates better interpretability and trustworthiness.

Heterogeneous information fusion recognition method based on belief rule structure

To solve the problem that the existing situation awareness research focuses on multi-sensor data fusion,but the expert knowledge is not fully utilized,a heterogeneous informa-tion fusion recognition method based on belief rule structure is proposed.By defining the continuous probabilistic hesitation fuzzy linguistic term sets(CPHFLTS)and establishing CPHFLTS distance measure,the belief rule base of the relationship between feature space and category space is constructed through information integration,and the evidence reasoning of the input samples is carried out.The experimental results show that the proposed method can make full use of sensor data and expert knowledge for recognition.Compared with the other methods,the proposed method has a higher correct recognition rate under different noise levels.

Alcohol and illicit drugs:prevalence of alcohol and illicit drug use and their predictors in young people from Argentina,Bulgaria,Chile and Romania

Background:Alcohol and illicit drugs(AID)continue to be a major global health concern.Although preventable,AID is linked to millions of deaths annually worldwide.The situation is particularly grave for young people,with AID being a major direct risk factor for disability-adjusted youth life-years lost and death.It further contributes to assaults,road crashes,accidental poisoning,and suicide,leading to long-term issues and public health concerns.Objective:This study aimed at disclosing current AID prevalence data for Argentinian,Bulgarian,Chilean and Romanian youth.It shed light on the predictors of AID in young people from those countries.Method:The study used an online survey to gather data from people aged 18 to 25(n=1,297).The survey was underpinned by the theory of planned behaviour(TPB).Predictors were investigated separately for drinking alcohol and using illicit drugs.Results:Our data revealed that across the four target countries,49%to 90%of the participants drank alcohol,and 8%to 35%used illicit drugs in the past three months.Between 20%and 91%of them intended to drink,and between 8%and 31%intended to use illicit drugs in the following three months.Our TPB model predicted statistically significant(P<0.001)amounts of variance in drinking alcohol(between 61%and 72%)and using illicit drugs(between 20.3%and 74.4%).Intention was consistent in significantly predicting both behaviours.Evidence around the predictive validity of self-efficacy,age and gender was mixed across the investigated countries.Conclusion:This research provided an update on the scarce AID epidemiological data.It also supplied evidence about what theoretically-informed measures might be useful targets of interventions in the case of Argentina,Bulgaria,Chile and Romania.This new knowledge of understanding substance abuse determinants and prevalence may help researchers and practitioners better meet young people's health prevention needs.

Promoting sustainable consumption and circular economy:the intention of Vietnamese youth consumers to purchase products made from recycled plastics

Recycling is viewed as a key component in a circular economy and serves as an ideal solution for promoting sustainability.During the global plastic crisis,plastic recycling practices have been adopted worldwide,leading to the production of various products made from recycled plastics(PRP).Nevertheless,a gap persists between consumption and demand for such products,which is primarily attributed to a lack of comprehension from the consumer perspective.Given the pivotal role consumers play in the adoption of these products,this study explores consumers’intentions to purchase PRP.This is particularly significant in Vietnam,which is an emerging economy aspiring to achieve the objectives of a circular economy and sustainable development.Utilizing an integrated cognitive-emotional framework comprising the Valence Theory and the Norm Activation Model,data from 564 Vietnamese students were gathered and analyzed using structural equation modeling.The results show that awareness of consequences is a major driver of consumer purchase intentions,followed by perceived ease of application and monetary incentives.The results also indicate that health concerns have the strongest effect on purchase intention and in the negative side,meaning that the health-related risk is the primary concern for consumers during the decision-making process.This research holds substantial value for academics and managers,as it aids in the theoretical exploration and the formulation of strategies to improve consumer acceptance of PRP.

Analysis of risk factors for postoperative anxiety and depression in endometriosis patients with reproductive intention

BACKGROUND The occurrence of postoperative depression and anxiety in patients with endomet-riosis(EMS)not only causes psychological distress,but may also harm their physical health.AIM To explore the postoperative depression status,and its influencing factors,of EMS patients with reproductive intention.METHODS A total of 321 EMS patients with reproductive intent were included.Using the self-rating anxiety scale and self-rating depression scale,EMS patients with anxiety or depression were distinguished.A clinical model for predicting anxiety or depression in EMS patients was constructed and evaluated using a nomogram,receiver operating characteristic curve,and calibration curve.RESULTS The results of the single factor analysis showed that smoking,coffee,EMS stage,chronic pelvic pain,and sexual discomfort may be related to anxiety.Further,smoking,drinking,spouse,annual household income and EMS stage may be related to depression in EMS patients.Multivariate logistic regression illustrated that smoking,coffee,chronic pelvic pain and sexual discomfort may be inde-pendent risk factors for anxiety in EMS patients,while smoking,EMS stage(Phase III and Phase IV),spouse and high annual household income may be independent risk factors for depression in EMS patients.Additionally,the models used to predict the risk of anxiety or depression in EMS patients have good predictive value.CONCLUSION The anxiety and depression of EMS patients may be related to many factors.In clinical treatment,additional attention should be paid to the psychological status of EMS patients.

A Cognitive Study on Politeness Intention Processing and Its Association with Pragmatic Failure in Cross-Cultural Communication

Although a large number of studies have focused on various aspects of politeness,very little is known about how politeness intention is activated cognitively during verbal communication.The present study aims to explore the cognitive mechanism of politeness intention processing,and how it is related to pragmatic failure during cross-cultural communication.Using 30 Chinese EFL university students who were instructed to finish a probe word judgment task with 96 virtual scenarios,the results indicate that within both mono-and cross-cultural contexts,the response time in the experimental scenarios was significantly slower than that of the filler scenarios.This suggests that politeness intention was activated while understanding the surface meaning of the conversation;however,the EFL learners could not completely avoid the negative transfer of their native politeness conventions when they were comprehending the conversational intention of the target language.Furthermore,no significant differences in response time were found between the groups with high and low English pragmatic competence,illustrating that transferring the pragmatic rules and principles into cross-cultural communication skills was more cognitively demanding.Overall,this study adds to the literature on politeness research and provides some implications for foreign language pragmatic instructions.

Understanding factors affecting non-participants’interest in community-supported agriculture

Community-supported agriculture(CSA)has emerged as a viable solution for addressing the agricultural challenges faced by countries like Indonesia.This study uses the wellestablished unified theory of acceptance and use of technology(UTAUT2)model to examine the interest in CSA of potential customers in Indonesia.A standardized questionnaire was distributed to 1200 respondents,and the data were analyzed using structural equation model-partial least square(SEM-PLS)in SmartPLS 4.0 software.The results capture potential CSA consumer interest and will help to improve CSA development strategies in Indonesia.The model explains 44.4%of customers’intentions,and identifies performance expectancy as the decisive factor in customers’willingness to participate in CSA.Performance expectancy(0.292),hedonic motivation(0.262),social influence(0.259),and facilitating conditions(0.086)positively influence customers’interest in participating in a CSA program.The adoption of CSA programs by both farmers and customers could be increased by implementing regulations that provide tax incentives and subsidies,offering training on sustainable farming practices,facilitating the establishment of distribution channels,and establishing guidelines for fair price and quality standards.This study shows the high potential for the implementation of CSA in Indonesia.It could also be used as a foundation for the development of new policies regarding sustainable agriculture markets in Indonesia.

Measuring Cognitive and Psychosocial Accessibility to Modern Contraception: A Comprehensive Framework

Nowadays, more than ever, the improvement of access to family planning (FP) has become an international goal. What constitutes access to FP? Current human rights-based contraceptive guidelines indicate that access begins as soon as women or couples express a desire to avoid pregnancy and their risk of unintended pregnancy is established. However, few studies have sought to define and measure cognitive and psychosocial access to contraception. To propose a comprehensive framework for the cognitive and psychosocial accessibility of contraception, we critically analyzed the literature on attitudes toward FP. The main dimensions that emerged were knowledge about FP, fear of side effects, approval of contraception, and contraceptive agency. We then identified and adjusted some questions that can capture these dimensions more comprehensively. As a result, we developed a questionnaire module comprising 15 questions, which was integrated into the 6th round of the PMA2020 survey in Burkina Faso in 2019. This research highlighted that previous studies have collected separate dimensions of contraceptive access, and the psychosocial dimension tended to be neglected. Our results demonstrate that it is possible to collect comprehensive data on cognitive and psychosocial dimensions of access to family planning.

Perspectives and Experiences of Education Stakeholders: A Quantitative Study on the Adoption of Artificial Intelligence in Executive Training Using Structural Equation Modeling

The recent increase in the use of artificial intelligence has led to fundamental changes in the development of training and teaching methods for executive education. However, the success of artificial intelligence in regional centers for teaching and training professions will depend on the acceptance of this technology by young executive trainees. This article discusses the potential benefits of adopting AI in executive training institutions in Morocco, specifically focusing on CRMEF Casablanca Settat. Based on the Unified Theory of Acceptance and Use of Technology (UTAUT) (Venkatesh et al., 2003), this study proposes a model to identify the factors influencing the acceptance of artificial intelligence in regional centers for teaching professions and training in Morocco. To achieve this, a structural equation modeling approach was used to quantitatively describe the impact of each factor on AI adoption, utilizing data collected from 173 young executive trainees. The results indicate that perceived ease of use, perceived usefulness, trainer influence, and personal innovativeness influence the intention to use artificial intelligence. Our research provides managers of CRMEFs with a set of practical recommendations to enhance the implementation conditions of an artificial intelligence system. It aims to understand which factors should be considered in designing an artificial intelligence system within regional centers for teaching professions and training (CRMEFs).

Husserl on Intentionality as an Essential Property of Consciousness

In the phenomenological tradition intentionality is considered to be an essential property of consciousness. Philosophers from this tradition （Brentano, Husserl, Sartre, etc.） generally share the following two commitments： （i） intentionality is an essential property of consciousness; and （ii） all intentional states are directed at, and are intentionally related to, objects. This view of consciousness has two pressing problems. Firstly, philosophers such as John Searle and David Rosenthal have suggested raw feelings and some forms of seemingly undirected and thus non-intentional feelings as counterexamples to the essential intentionality of conscious states. Secondly, some analytical philosophers and Husserlian scholars inspired by Frege, such as Smith and Follesdal, deny that every intentional state is related to a correlative object. This paper presents a Husserlian view concerning the essential intentionality of consciousness. It will be shown that both problems can be successfully dealt with from an essentially Husserlian and phenomenological perspective.

The Impact of E-Commerce Live Broadcasts on Consumers’Purchase Intention

E-commerce live broadcast has an important influence on consumers’purchase intention.The three dimensions of live broadcast content in the broadcast room are the number of comments,product quality,and live content as independent variables.A theoretical model is constructed with perceived value and risk as intermediaries and the consumers’purchase intention as the dependent variable,and corresponding hypotheses are put forward.We designed the scale,collected relevant data,and tested the model hypothesis using Statistical Package for Social Sciences(SPSS)and Analysis of Moment Structure(AMOS)software.The study found that the number of comments and product quality had a significant impact on perceived value,perceived risk,and consumers’purchase intention.From this conclusion,it is suggested that businesses should control the number of comments,strengthen the product quality of comments,and distinguish the repetition degree of the content of live broadcasts.

Trust beyond Technology Algorithms: A Theoretical Exploration of Consumer Trust and Behavior in Technological Consumption and AI Projects

In an era dominated by artificial intelligence (AI), establishing customer confidence is crucial for the integration and acceptance of AI technologies. This interdisciplinary study examines factors influencing customer trust in AI systems through a mixed-methods approach, blending quantitative analysis with qualitative insights to create a comprehensive conceptual framework. Quantitatively, the study analyzes responses from 1248 participants using structural equation modeling (SEM), exploring interactions between technological factors like perceived usefulness and transparency, psychological factors including perceived risk and domain expertise, and organizational factors such as leadership support and ethical accountability. The results confirm the model, showing significant impacts of these factors on consumer trust and AI adoption attitudes. Qualitatively, the study includes 35 semi-structured interviews and five case studies, providing deeper insight into the dynamics shaping trust. Key themes identified include the necessity of explainability, domain competence, corporate culture, and stakeholder engagement in fostering trust. The qualitative findings complement the quantitative data, highlighting the complex interplay between technology capabilities, human perceptions, and organizational practices in establishing trust in AI. By integrating these findings, the study proposes a novel conceptual model that elucidates how various elements collectively influence consumer trust in AI. This model not only advances theoretical understanding but also offers practical implications for businesses and policymakers. The research contributes to the discourse on trust creation and decision-making in technology, emphasizing the need for interdisciplinary efforts to address societal challenges associated with technological advancements. It lays the groundwork for future research, including longitudinal, cross-cultural, and industry-specific studies, to further explore consumer trust in AI.

What is Mind,What is Consciousness,and Where This Resides

The main purpose of this paper is to respond to the questions what is mind and consciousness and where this resides.The answers are based on the frontline Informational Model of Human Body and Living Structures(IMHBLS),which shows that mind and consciousness can be described by the activity of the Informational System of the Human Body and Living Structures(ISHBLS),consisting of seven informational components,each of them with specific activity and functions,inter-correlated to support the immaterial/informational manifestation of the body expressed by mind and consciousness.The basic concept of matter-related and virtual information results as a consequence of the operability of the physics,chemistry,biologic,or mathematics laws,which actually act as informational operators,such processes are informationally driven and manifested finally as a“media-like functions”of mind and consciousness,on the“screen/display”of prefrontal cortex.The mind is therefore described as the capacity of every individual to access the data field of own life experience,where the thought acts as an informational operator,which can activate the required information from internal/external reality.Consciousness is the result of the info-representation of the explored reality,accumulated by the momentary connection,and compared/combined with the life experience,serving as judgment reference/criteria.The question is discussed in relation with the localization of consciousness,showing that this resides in the brain,as a result of the activity of ISHBLS.The discussion on the experimental evidences concerning the minimal basic components necessary and sufficient to sustain consciousness,compared with the results of the informational model,indicates the cortico-thalamus axis,in a full agreement each other.One of the basic findings is that the activation of consciousness is operated in two steps,one consisting in a feed-forward reception and another in feedback perception for recognition of the info-significance,which is fully supported by the recently reported experimental results.The phenomena of intuition,inspiration,premonition,“deja vue”,retrocausality,and intentionality are discussed.This model unifies the eastern and western concepts/models on consciousness and mind,explaining the energetic Yung/Yin Chinese model by YES/NO-informational Bit-type behavior,the Plato’s ideas/forms by“information”concept as a participating component of reality,Aristotle’s materialist view with matter structuration(assisted by information),and archaic model of the seven“chakras”at human,as vital informational centers connected with the body.

某三级专科医院护士人格特质与离职意愿的相关性

目的调查上海市某三级专科医院护士离职意愿现状,探讨护士人格特质、工作支持和工作满意度与离职意愿的关系及人格特质对离职意愿的影响。方法2022年1—2月对上海市某三级专科医院的全体护士进行调查,采用自编社会人口学资料调查表、中国大五人格问卷简式版量表、工作支持量表、工作满意度量表、离职意愿量表调查。用SPSS 24.0对数据进行统计学分析,用t检验和方差分析进行单因素组间比较,采用分层逐步回归分析离职意愿的影响因素。结果共回收473份问卷。受调查护士离职意愿总分为(14.03±3.76)分;大五人格各维度得分从高到低依次为宜人性(35.72±5.71)分、严谨性(34.13±6.03)分、开放性(29.94±6.64)分、外向性(28.29±6.27)分、神经质(24.84±7.58)分;工作支持得分为(71.05±15.34)分、工作满意度得分为(30.60±6.26)分。不同年龄、职称、工作年限、夜班频次以及有无编制的护士的离职意愿得分差异有统计学意义(P<0.05)。Pearson相关分析结果显示:神经质与离职意愿呈正相关;严谨性、宜人性、外向性、工作支持、工作满意度与离职意愿呈负相关。分层逐步回归分析结果显示,宜人性能够解释护士离职意愿0.7%的变异。结论上海市某三级专科医院护士离职意愿水平较高。护士的人格特质、工作支持和工作满意度会影响护士的离职意愿,具有宜人性的个体表现出较低的离职意愿。