Intuitive Research Articles

Intuiting or rationalising self-other agreement in leadership?

PurposeCongruent self-other agreement in leadership evaluations is associated with positive outcomes such as work unit performance. In contrast, poor self-other agreement in leadership evaluations is associated with negative outcomes such as leaders making ineffective job-relevant decisions. This study examined whether the extent of leaders’ preference for intuitive and rational thinking predicted self-other agreement in leadership evaluations.Design/methodology/approachSelf-ratings and follower ratings of transformational leadership were analysed for 160 dyad pairs of leaders and followers (n = 320). Leaders self-rated their preference for rational and intuitive thinking. Response surface analysis was used to model the relationship between self-other agreement and leaders’ thinking styles.FindingsAs ratings of transformational leadership increased in both leaders and followers, we observed higher scores on preferences for both rational and intuitive thinking. Leaders’ preference for intuitive thinking showed a curvilinear relationship with self-other agreement, such that more intuitive thinking was related to higher leader–follower congruence in ratings of transformational leadership. We further uncovered that higher leader preferences for rational thinking were related to increased leader–follower disagreement in transformational leadership ratings.Originality/valueResearch has focused more on the outcomes than antecedents of self-other agreement in leadership. Thinking styles have undergone limited examination as antecedents of self-other agreement in leadership evaluations. Thinking styles are semi-malleable traits that can be used for the selection of leadership potential and developed to improve leadership performance. The current research suggests that relationships between thinking styles and self-other agreement on leadership effectiveness are more complicated than first thought.

Temporal Direction, Intuitionism and Physics.

In a recent paper, Nicolas Gisin suggests that by conducting physics with intuitionistic rather than classical mathematics, rich temporality-that is, passage and tense, and specifically the future's openness-can be incorporated into physics. Physics based on classical mathematics is tenseless and deterministic, and that, so he holds, renders it incongruent with experience. According to Gisin, physics ought to represent the indeterminate nature of reality, and he proposes that intuitionistic mathematics is the key to succeeding in doing so. While I share his insistence on the reality of passage and tense and on the future being real and open, I argue that the amendment he offers does not work. I show that, its attunement to time notwithstanding, intuitionistic mathematics is as tenseless as classical mathematics and that physics is bound to remain tenseless regardless of the math it employs. There is much to learn about tensed time, but the task belongs to phenomenology and not to physics.

Modeling quantum optical phenomena using transition currents

Spontaneous light emission is central to a vast range of physical systems and is a founding pillar for the theory of light–matter interactions. In the presence of complex photonic media, the description of spontaneous light emission usually requires advanced theoretical quantum optics tools such as macroscopic quantum electrodynamics, involving quantized electromagnetic fields. Although rigorous and comprehensive, the complexity of such models can obscure the intuitive understanding of many quantum-optical phenomena. Here, we review a method for calculating spontaneous emission and other quantum-optical processes without making explicit use of quantized electromagnetic fields. Instead, we introduce the concept of transition currents, comprising charges in matter that undergo transitions between initial and final quantum states. We show how predictions that usually demand advanced methods in quantum electrodynamics or quantum optics can be reproduced by feeding these transition currents as sources to the classical Maxwell equations. One then obtains the relevant quantum observables from the resulting classical field amplitudes, without washing out quantum optical effects. We show that this procedure allows for a straightforward description of quantum phenomena, even when going beyond the dipole approximation and single emitters. As illustrative examples, we calculate emission patterns and Purcell-enhanced emission rates in both bound-electron and free-electron systems. For the latter, we derive cathodoluminescence emission and energy-loss probabilities of free electrons interacting with nanostructured samples. In addition, we calculate quantum-beat phenomena in bound-electron systems and wave function-dependent optical coherence in free-electron systems. Remarkably, the transition-current formalism captures more complex phenomena, such as many-body interference effects and super-radiance of both bound- and free-electron systems, second-order processes such as two-photon emission, and quantum recoil corrections to free-electron radiation. We review a variety of light–matter interactions in fields ranging from electron microscopy to nanophotonics and quantum optics, for which the transition-current theoretical formalism facilitates practical simulations and a deeper understanding of novel applications.

The Rotation Model of Blended Learning Stations and Its Impact on Mathematical Intuition According to A Proposed Matrix

The current research aims to identify the effect of the rotation model on the integrated learning stations in kindergarten intuition among third-year middle school female students; a quasi-experimental design was adopted for two equal groups (the experimental group and the control group) with a post-test, The experiment was applied to a sample of (60) female third-year intermediate students, with (29) female students for the experimental group and (31) female students for the control group for the academic year 2023-2024, They were rewarded in (mathematical information test, intelligence test, mathematical intuition test),The results showed that the female students of the experimental group, who were taught according to the rotation model in the blended learning stations, outperformed the female students of the control group, who were taught according to the traditional method in mathematical intuition. The two researchers concluded that teaching female students according to the rotation model on blended learning stations contributed to increasing the mathematical intuition of the female students in the experimental research sample, The research came out with a number of recommendations, the most important of which are: conducting training courses for teachers of various educational levels on the use of the blended learning rotation model with its various models and the strategies emerging from it in teaching mathematics and paying attention to the variable of mathematical intuition in micro-learning programs for student teachers in various colleges of education, The research also presented a set of proposals, the most important of which is: developing a rotation model for blended learning stations in line with modern theories related to reducing the cognitive load among learners.

Generation and Countermeasures of adversarial examples on vision: a survey

Recent studies have found that deep learning models are vulnerable to adversarial examples, demonstrating that applying a certain imperceptible perturbation on clean examples can effectively deceive the well-trained and high-accuracy deep learning models. Moreover, the adversarial examples can achieve a considerable level of certainty with the attacked label. In contrast, human could barely discern the difference between clean and adversarial examples, which raised tremendous concern about robust and trustworthy deep learning techniques. In this survey, we reviewed the existence, generation, and countermeasures of adversarial examples in Computer Vision, to provide comprehensive coverage of the field with an intuitive understanding of the mechanisms and summarized the strengths, weaknesses, and major challenges. We hope this effort will ignite further interest in the community to solve current challenges and explore this fundamental area.

Modal reduction principles: a parametric shift to graphs

Graph-based frames have been introduced as a logical framework which internalises an inherent boundary to knowability (referred to as ‘informational entropy’), due, e.g. to perceptual, evidential or linguistic limits. They also support the interpretation of lattice-based (modal) logics as hyper-constructive logics of evidential reasoning. Conceptually, the present paper proposes graph-based frames as a formal framework suitable for generalising Pawlak's rough set theory to a setting in which inherent limits to knowability exist and need to be considered. Technically, the present paper establishes systematic connections between the first-order correspondents of Sahlqvist modal reduction principles on Kripke frames, and on the more general relational environments of graph-based and polarity-based frames. This work is part of a research line aiming at: (a) comparing and inter-relating the various (first-order) conditions corresponding to a given (modal) axiom in different relational semantics; (b) recognising when first-order sentences in the frame-correspondence languages of different relational structures encode the same ‘modal content’; (c) meaningfully transferring relational properties across different semantic contexts. The present paper develops these results for the graph-based semantics, polarity-based semantics, and all Sahlqvist modal reduction principles. As an application, we study well known modal axioms in rough set theory (such as those corresponding to seriality, reflexivity, and transitivity) on graph-based frames and show that, although these axioms correspond to different first-order conditions on graph-based frames, their intuitive meaning is retained. This allows us to introduce the notion of hyperconstructivist approximation spaces as the subclass of graph-based frames defined by the first-order conditions corresponding to the same modal axioms defining classical generalised approximation spaces, and to transfer the properties and the intuitive understanding of different approximation spaces to the more general framework of graph-based frames. The approach presented in this paper provides a base for systematically comparing and connecting various formal frameworks in rough set theory, and for the transfer of insights across different frameworks.

The Role of Emotionality, Self-efficacy, Rational- and Intuitive- Thinking Styles in Advanced Chess Expertise

"Literature is scarce regarding the psychological predictors of chess expertise and A-level chess performance. Methods: A cross-sectional study was designed and conducted on a total number of 90 Hungarian and Romanian competitive chess players. More than half were males, the average age was 32.07 (SD=12.99). The study aimed to explore the predictive influence of age, gender, number of hours spent practicing, preferences for rational and intuitive thinking styles, self-efficacy, and emotionality on the likelihood of obtaining a publicly accessible ELO rating within the range of 1800-2500 (indicating at least A-level expertise or higher). Binary logistic regression was applied to examine the weight of each predictor. Results: The data evinced the statistically significant role of gender, and rational thinking style on A-level chess expertise and from all the conclusive predictors the most determinant was the rational thinking style which raised the chance of high expertise more than 60 times. Conclusions: Practice contributes positively to the development of A-level competence. However, the most crucial factor in predicting high chess expertise and performance is the preference for rational thinking style. Keywords: chess expertise, ELO rating, A-level, emotionality, self-efficacy, rational thinking, intuitive thinking, practice, adults"

The Concept of Transcendental Apperception and its Role in the Second Edition of Kant’s Transcendental Deduction

The aim of this article is to trace the meaning that Immanuel Kant assigns to the concept of transcendental apperception and to present its role in the second edition of the Transcendental Deduction in his Critique of Pure Reason. It will be shown that the doctrine of transcendental apperception resolves some problematic features of the theories of consciousness in the traditions of Rationalism and Empiricism. In this regard, Kant’s transcendental apperception will be examined in contrast with the concepts of inner sense (John Locke and David Hume), Cogito (René Descartes), and intellectual intuition (Gottfried Leibniz). This comparative approach will allow us to gain a clearer understanding of the meaning of transcendental apperception. Finally, its role in the justification of the pure concepts of understanding will be considered.

Ранний Джон Хик о теистической религии и его версия теодицеи

This paper discusses the most significant issues of John Hick’s philosophical theology in the early period of his work. In this study I trace the relationship between Hick’s personal religious experience and his philosophical intuitions, showing that it was both of these components, mutually influencing each other, that set him on the path of rejection of most of the Christian doctrines. In addition, the study shows that the specificity of Hick’s relationship with Christianity, as well as the principle of religious ambiguity arising from his religious epistemology, determined his further strategy within such a primary project of philosophical theology as theodicy. This conception, designed by early Hick as a Christian response to the problem of evil and named by him as “Irenaean theodicy”, from my point of view, was only partially successful, since the flaws and contradictions it contained were not resolved by him within the framework of the Christian religious paradigm, but only largely contributed to his further shift towards pluralistic worldview. Finally, Hick’s division of the Christian understanding of evil into “Augustinian” and “Irenaean” traditions and their further opposition, as this study demonstrates, is not sufficiently justified, nor is his naming of his own conception as “Irenaean”.

Synthesis, crystal structure, spectroscopic and theoretical studies of a new fluorescent heterocyclic compound containing diketopyrrolopyrrole (DPP) moiety

A new diketopyrrolopyrrole (DPP) derived fluorescent heterocyclic compound, DPP-BA, has been synthesized and characterized by SXRD, FL spectroscopy and computational methods. SXRD studies indicate that hydrogen bonding and π-π stacking interactions are crucial for the assembly of its 3D supramolecular structure. The weak interactions within the compound were studied using IRI and NCI methods, while the planarity of DPP-BA in the DPP-BA-DMSO was quantified using MPP and SDP descriptors. The MEP map highlighted the nucleophilic and electrostatic regions in DPP-BA. In addition, Hirshfeld surface analysis and RESP atomic charges were used to visualize the interactions and to delineate the charge distribution within DPP-BA. The interaction energy and 3D energy frameworks facilitated an intuitive examination and understanding of the molecular arrangement and stability within the crystal. A comparison between the experimental and computational FL spectra was made using a range of DFT functionals, with the PBE0 functional providing the most accurate results. Analyses of the HOMO-LUMO and hole-electron distributions have shed light on the molecular electronic structure, thereby deepening our understanding of the electronic excitation processes within the molecule.

Conceptualising personhood in nursing care for people with altered consciousness, cognition and behaviours: A discussion paper.

The aim of this discussion paper is to explore factors and contexts that influence how nurses might conceptualise and assign personhood for people with altered consciousness, cognition and behaviours. While a biomedical framing is founded upon a dichotomy between the body and self, such that the body can be subjected to a medical and objectifying gaze, relational theories of self, multiculturalism and technological advances for life-sustaining interventions present new dilemmas which necessitate discussion about what constitutes personhood. The concept of personhood is dynamic and evolving: where historical constructs of rationality, agency, autonomy and a conscious mind once formed the basis for personhood, these ideas have been challenged to encompass embodied, relational, social and cultural paradigms of selfhood. Themes in this discussion include: the right to personhood, mind-body dualism versus the embodied self; personhood as consciousness, rationality and narratives of self; social relational contexts of personhood and cultural contexts of personhood. Patricia Benner's and Christine Tanner's clinical judgement model is then applied to consider the implications for nursing care that seeks to reflexively incorporate personhood. Nurse clinicians are able to move between conceptions of personhood and act to support the body, as well as presumed autonomy and relational, social and cultural personhood. In doing so, they use analytical, intuitive and narrative reasoning which prioritises autonomous constructions of self. They also incorporate relational and social contexts of the person receiving care within the possibilities of technological advances and constraints of contextual resources.

Le panel d’experts pour les tests de concordance de script : une référence réellement adéquate ?

The Script Concordance Tests (SCTs) are an examination modality introduced by decree in the French National Ranking Exam for medical students in 2024. Their objective is to evaluate clinical reasoning in situations of uncertainty. In practice, SCTs assess the impact of new information on the probability of a hypothesis formulated a priori based on an authentic clinical scenario. This approach resembles probabilistic (or Bayesian) reasoning. Due to the uncertainty associated with the explored clinical situation, SCTs do not compare the student's response to an expected one in a theoretical knowledge reference. Instead, the distribution of responses from a panel of experienced physicians is used to establish the question's scoring scale. Literature data suggest that physicians, even experienced ones, like most humans, often exhibit biased intuitive probabilistic reasoning. These biases raise questions about the relevance of using expert panel responses as scoring scales for SCTs.

Leveraging the Apple Ecosystem: Easy Viewing and Sharing of Three-dimensional Perforator Visualizations via iPad/iPhone-based Augmented Reality

Summary: We introduce a novel technique using augmented reality (AR) on smartphones and tablets, making it possible for surgeons to review perforator anatomy in three dimensions on the go. Autologous breast reconstruction with abdominal flaps remains challenging due to the highly variable anatomy of the deep inferior epigastric artery. Computed tomography angiography has mitigated some but not all challenges. Previously, volume rendering and different headsets were used to enable better three-dimensional (3D) review for surgeons. However, surgeons have been dependent on others to provide 3D imaging data. Leveraging the ubiquity of Apple devices, our approach permits surgeons to review 3D models of deep inferior epigastric artery anatomy segmented from abdominal computed tomography angiography directly on their iPhone/iPad. Segmentation can be performed in common radiology software. The models are converted to the universal scene description zipped format, which allows immediate use on Apple devices without third-party software. They can be easily shared using secure, Health Insurance Portability and Accountability Act–compliant sharing services already provided by most hospitals. Surgeons can simply open the file on their mobile device to explore the images in 3D using “object mode” natively without additional applications or can switch to AR mode to pin the model in their real-world surroundings for intuitive exploration. We believe patient-specific 3D anatomy models are a powerful tool for intuitive understanding and communication of complex perforator anatomy and would be a valuable addition in routine clinical practice and education. Using this one-click solution on existing devices that is simple to implement, we hope to streamline the adoption of AR models by plastic surgeons.

Learning a Structural Causal Model for Intuition Reasoning in Conversation

Learning a Structural Causal Model for Intuition Reasoning in Conversation

메이커 교육을 적용한 과학 영재 교육프로그램 개발 및 적용

Objectives The purpose of this study was to explore the possibility of applying maker education as a regular curriculum activity. Methods For this purpose, 26 students in the third grade of G Science Gifted School in Gyeonggi-do, Korea, were applied to regular curriculum classes, and conversation recordings and activity reports were collected. The students' conversations were transcribed and analyzed to identify the step-by-step characteristics of maker activities, and the characteristics of maker competencies expressed by the students were analyzed based on the maker competency model. Results Through this, it was confirmed that the expression of competencies such as intuitive thinking was remarkable in the science gifted high school students who were studied, and the expression of enjoyment competencies for maker activities was insufficient. In addition, through activity interviews, it was confirmed that there was a positive effect in terms of improving students' tool dependence and collaboration, sharing, and communication, but it was confirmed that there was a need for supplementation, such as excessive time required for maker activities and poor device accuracy. Conclusions This study analyzed the characteristics of maker competencies expressed by high school science gifted students in maker education activities, and suggested educational implications for applying maker education to regular curriculum.

UNDERSTANDING THEORY OF DETACHMENT AND MYSTICISM IN CONTEXT OF BHAGAVAD GITA

Mysticism had been used as a term in 3rd century specially in christian community for Biblical aspects. The term usually means at that time ‘spiritual marriage’ between supreme soul and human being. God was one and omnipresence in ancient times, at that time humans can easily get one with God by simply performing prayers and chanting, no specific mystic performance or experiences have been given much attention. In ancient times lower casts and women were not allowed to perform mystical activities, they hardly given permission to listen those chanting. Today time has changed every entity has been given equal rights to perform religious activities according to their own choices. Religion is playing a vital role in social and communal relations.In today’s life mysticism mainly focuses on the belief, that leads union with the absolute or becoming one with god, which is the central idea of Bhagavad Gita also. Gita has been considered as highly religious scripture in present scenario, which is likely to be written in 1st and 2nd Century, as an episode in Indian Sanskrit epic Mahabharata, in form of a conversation between Arjuna (living entity) and Lord Krishna (supreme soul). Bhagavad Gita explains the concept that every living entity is a part and parcel of supreme soul, who is Lord Krishna himself. There is a hidden meaning in life and each life should be unite with God. It is related to intuitive understanding of human existence and revealing the truths of life, which tries to solve the problems of present day life. This book have the power to bring light in the darkest ignorance.This paper is an attempt to contextualize the role of mystic experiences in human transformation, socially and individually. My focus will be to point out the changes, in religious activities and performances from time to time and reasons behind those changes. And also to find out the role of mysticism and spirituality in solving day to day life problems.

Corporate Social Responsibility in the Formal Strategic Planning of South African Listed Companies

Manuscript type: Research paper Research aims: This study investigates the relationship between formal strategic planning and corporate social responsibility (CSR) in the South African context, considering JSE-listed companies. Design/Methodology/Approach: This study employed multiple-scale items with a five-point Likert scale to measure CSR and formal strategic planning. A chi-square test was performed to test the significance of the relationship between the variables. Research findings: The analysis of all South African listed companies (i.e., JSE-listed companies) revealed that formal strategic planning is significantly associated with CSR, suggesting that CSR concerns are addressed during the formal strategic planning process. Theoretical contribution/Originality: The respondents are only limited to JSE-listed companies and the findings are related to the links only between formal strategic planning and CSR. Practitioner/Policy implication: The JSE is the largest stock exchange in Africa. Thus, it is becoming increasingly important for them to maintain their corporate reputation with stakeholders. Accordingly, addressing stakeholders’ demand for CSR through the formal strategic planning process would benefit the organisation is vital. Originality/Value: This study contributes a deep intuitive knowledge of companies’ perceptions of CSR demonstrations by considering formal strategic planning in the South African context.

Finding a road less traveled: Combining analysis and intuition to develop novel problem formulations

AbstractResearch SummaryNovel formulations of strategic problems are key to innovation and exploration. Conventional wisdom suggests that intuitive thinking, rather than rational‐analytic thinking, facilitates novel problem formulations. This article proposes that intuitive thinking is insufficient and that novel formulations instead depend on sequencing rational‐analytic and intuitive thinking across two phases of the problem formulation task. Two experiments using samples of strategists in organizations support the importance of analysis followed by intuition when developing novel problem formulations. This article advances the “both‐and” approach to managerial cognition by investigating how harnessing intuition and analysis in combination may lead to a desirable outcome for a managerial task. This approach moves beyond the typical, “either‐or” approach to cognition in past studies, which pit analysis against intuition in achieving desirable outcomes.Managerial SummaryUnique and potentially contrarian theories on problems—novel problem formulations—are key to innovation, exploration, and value creation. Past research indicates that strategists should rely on intuition and gut feeling rather than analysis to boldly develop novel problem formulations. I propose that intuition alone can lead to premature, obvious conclusions. This article instead claims that novel formulations depend on combining analysis and intuition in a specific sequence. Analysis helps identify hidden needs and pain points that allow strategists to think of diverse possibilities for underlying causes. Intuition helps strategists boldly utilize these ambiguous, unstructured symptoms based on subjective beliefs to develop novel problem formulations. Two experiments with real‐world strategists support the arguments.

Brain and the whole-body bone imaging appearances in Menkes disease: a case report and literature review

BackgroundMenkes disease (MD) is a rare, inherited, multisystemic copper metabolism disorder. Classical Menkes disease is characterized by low serum copper and ceruloplasmin concentrations, leading to multiple abnormalities in the whole-body, especially in connective tissue and central nervous system. However, serum copper and ceruloplasmin levels are not reliable diagnostic biomarkers due to the low concentrations in healthy newborns either. The featured imaging manifestations play an important role in diagnosing Menkes disease. To our knowledge, there are few reports on the systemic imaging manifestations of Menkes disease.Case presentationA 4-month-old male patient presented with recurrent seizures. He had cognitive, intellectual, growth, gross motor, precision movement, and language developmental lags. The patient’s hemoglobin and serum ceruloplasmin level were low. On MRI, increased intracranial vascular tortuosity, cerebral and cerebellar atrophy, white matter changes, and basal ganglia abnormalities were observed. Plain radiograph revealed wormian bones, rib flaring, metaphyseal spurring, and periosteal reactions in the long bones of the limbs. A pathogenic variant in ATP7A gene was identified in the patient, so he was confirmed the diagnosis of Menkes disease. His symptoms did not improve despite symptomatic and supportive treatment during his hospitalization. Unfortunately, the infant died 3 months after leaving hospital.ConclusionA comprehensive and intuitive understanding of the disease’s imaging manifestations can help clinicians to identify the disease and avoid delays in care.

Automated collective variable discovery for MFSD2A transporter from molecular dynamics simulations

Biomolecules often exhibit complex free energy landscapes in which long-lived metastable states are separated by large energy barriers. Overcoming these barriers to robustly sample transitions between the metastable states with classical molecular dynamics (MD) simulations presents a challenge. To circumvent this issue, collective variable (CV)-based enhanced sampling MD approaches are often employed. Traditional CV selection relies on intuition and prior knowledge of the system. This approach introduces bias, which can lead to incomplete mechanistic insights. Thus, automated CV detection is desired to gain a deeper understanding of the system/process. Analysis of MD data with various machine-learning algorithms, such as principal component analysis (PCA), support vector machine, and linear discriminant analysis (LDA) based approaches have been implemented for automated CV detection. However, their performance has not been systematically evaluated on structurally and mechanistically complex biological systems. Here, we applied these methods to MD simulations of the MFSD2A (Major Facilitator Superfamily Domain 2A) lysolipid transporter in multiple functionally relevant metastable states with the goal of identifying optimal CVs that would structurally discriminate these states. Specific emphasis was on the automated detection and interpretive power of LDA-based CVs. We found that LDA methods, which included a novel gradient descent-based multiclass harmonic variant, termed GDHLDA, we developed here, outperform PCA in class separation, exhibiting remarkable consistency in extracting CVs critical for distinguishing metastable states. Furthermore, the identified CVs included features previously associated with conformational transitions in MFSD2A. Specifically, conformational shifts in transmembrane helix 7 and in residue Y294 on this helix emerged as critical features discriminating the metastable states in MFSD2A. This highlights the effectiveness of LDA-based approaches in automatically extracting from MD trajectories CVs of functional relevance that can be used to drive biased MD simulations to efficiently sample conformational transitions in the molecular system.