Rational Framework Research Articles

Analisis Pengambilan Keputusan Rasionalitas Pada Kebijakan Presiden Dibawah Umur 40 Tahun Yang diTetapkan Oleh Mahkamah Konstitusi (MK)

A thorough examination of the temporal dynamics of politics is undertaken in this study. Just days before the last deadline for presidential and vice presidential candidates to register, the public was stunned by the contentious judgement of the Constitutional Court (MK). This research seeks to utilise a rational decision-making framework to understand the rationale behind the Constitutional Court's (MK) ruling on the eligibility of presidential and vice presidential candidates under the age of 40, as outlined in article 90/PUU-XXI/2023. This ruling is a continuation of the previous article, specifically Article 169 letter q of Law Number 7 of 2017 concerning Elections, which established this age limit. In addition to original data collected from applicable statutes, journals, and other sources, this study employs a literature review methodology. this study delves into the relationship between the determination process and article 90/PUU-XXI/2023. The participants in this research demonstrated a comprehension of rational choice principles and the process of choosing presidential and vice presidential candidates, according to the findings. As well as showing that the decisions decided are subjective and irrational because they focus on actors because actors are considered as humans with goals, which means they perform certain actions and goals to achieve their goals.

Проблема разработки регионами страны рациональных нормативно-правовых основ стратегического управления

The article is devoted to the study of the problem of developing rational legal frameworks for the strategic management of the country’s regions, no matter what natural, climatic and meteorological conditions they are in. The dissonance that has arisen between the theory and practice of strategic management in Russia is explained by many reasons, including the result of the transition to new economic relations. However, this does not make the problem any easier. According to the authors, the process of developing the regulatory framework for the strategic management of the country’s regions should be subordinated to the principles of autonomy in conducting the economic activities of each specific region, ensuring economic self-sufficiency, the development of the most energy-intensive areas in the economy of each individual region, state regulation of the economic activities of the country’s regions in the aspect coordination of economic relations between regions, etc.

Transformations of Subjectivity in Post-Non-Classical Science

Relevance. As the Сomplexity of the subject's dialogue and communication environment increases, the need to increase its connectivity increases as an evolutionary way to preserve conscious ability.Purpose. The identifying the nature of the relationship between linguistic and non-linguistic objects of the worlds of Human existence leads to the need to construct a third entity that determines their compatibility, and as a result, is the cause of the emergence of a new quality of reality. The objectives of the post-non-classical paradigm of science involves rethinking the spatial-temporal model of the world, the role of intersubjective communications and internal dialogue of the subject as conditions for the existence and evolution of a conscious form of life, as well as identifying the principles underlying these processes. The methodology of constructing a categorical apparatus that allows describing such conditions is based on the method of Ontosemiotic Modeling and Decomposition, which reflect the method of phenomenological reduction, ascent from the abstract to the concrete, as well as the logical-semiotic construction of the subject of research. This method avoids the paradoxical nature of categorical descriptions of non-linguistic entities.Results.The desired third entity can be presented in the context of the three categories of subjectivity proposed by the author: synchronism, intention and relativity.Conclusions. The category of describing the world: subjectivity, temporality, continuality, contingency, processality, emergence, dialogicity, contextuality and relations between them, within the framework of post-nonclassical rationality, reflect the need to adopt new principles, models and methodologies of communication and activity, identify information-semiotic laws and patterns of cognition management, as well as refinement and redefinition of the basic concepts of philosophy, such as "Subject", "Consciousness", "Cognition".

Adopting Artificial Intelligence Technology for Network Operations in Digital Transformation

This study aims to define factors that affect Artificial Intelligence (AI) technology introduction to network operations and analyze the relative importance of such factors. Based on this analysis of critical factors, a rational decision-making framework is suggested to promote network operations with AI technology. As affecting factors were derived based on related previous studies, the study model was designed to consist of 22 attribute factors under 6 key factors: relative advantage, compatibility, top management support, organizational readiness, competitive pressure, and cooperative relation. The questionnaire was designed and analyzed using the Delphi method and Analytics Hierarchy Process (AHP) method based on the Technology–Organization–Environment (TOE) framework. To collect data, a survey was conducted among 30 experts in network operations and AI. The importance of attribute factors was in the order of ‘goals and strategies’, ‘commitment of resources’, ‘leadership competency’, ‘financial readiness’, and ‘technology readiness’. As the importance of factors was analyzed comparatively between the demander group and provider group, organizational factors were important in the demander group. In contrast, technological factors were important in the provider group. In conclusion, there was a difference in perspectives between demanders and providers regarding adopting AI technology to network operations.

Electron‐Deficient Boron‐Doped g‐C3N4 as an Efficient and Robust Photocatalyst for Visible‐Light Driven Hydrogen Evolution from Water Splitting

AbstractElemental doping is considered to be a promising approach for altering the electronic structure, optical absorbance, and charge separation characteristics of graphitic carbon nitride (g‐C3N4, termed as CN), thus boosting its photocatalytic performance for practical applications. Herein, a series of boron (B) doped g‐C3N4 (named as BCN) photocatalysts are developed via one‐step pyrolysis of a mixture of urea and 3‐methoxycarbonyl‐5‐nitriophenylboronic acid (MCNPBA). The results show that B‐atoms have been successfully incorporated into the g‐C3N4 network. The as‐synthesized BCN‐x (x shows the weight content of MCNPBA) photocatalysts are evaluated in photocatalytic hydrogen (H2) evolution from water splitting under visible‐light (λ ≥ 420 nm). The optimized BCN‐10 sample shows a maximum H2 evolution rate of 1789.93 µmol h─1 g─1, which is 6.2 times higher than that of g‐C3N4 (289.73 µmol h─1 g─1). This is attributed to the fact that the electron‐deficient B‐atoms are lewis acids that trap electrons, which in turn expands visible‐light absorption, narrows the bandgap, and prevents the recombination of photogenerated charge carriers. Moreover, B‐doping can readily modify the valence and conduction band positions of g‐C3N4, therefore augmenting the photocatalytic H2 evolution activity. This paper presents a unique rational framework for developing other functionalized electron‐deficient elemental‐doping g‐C3N4‐based photocatalysts for practical applications in solar‐to‐fuel conversion.

Top–down and bottom–up information acquisition: Application to financial markets

Recent studies confirm the main prediction of the rational inattention framework that the perceived value of information (top–down) as a key driver of attention. However, these investigations also report stimulus-driven salience effects (bottom–up) that counteract the framework’s predictions. In this manuscript, I propose an extension to the standard rational inattention model by incorporating bottom–up attention processes such as salience-effects through varying information processing costs. Applied to asset pricing with a representative agent a higher information salience generally reduces the cost of information processing (attention) needed for the same level of uncertainty reduction. Due to a substitution effect in the attention allocation across information, an attention-maximizing salience emerges. In general, a higher information salience consistently enhances asset price informativeness.

Bringing Sustainable Development to the Corporate Level: Boards’ Cognitive Biases towards ESG and Relevant Debiasing Interventions

The proposed research is an attempt to view how internationally recognised principles of sustainable development can be implemented at the corporate level, in particular, how the company’s board of directors should respond to climate and environmental challenges. Specifically, the paper examines the problem of reducing board members' repeated cognitive biases towards such a mainstream governance concept as ESG (Environmental, Social and Corporate Governance). The research focuses on the five most well-known cognitive biases of a board towards ESG, often encountered and described conceptually in behavioural literature: over-optimism, status quo effect, confirmation bias, hyperbolic discounting, and groupthink. Subsequently, the paper draws recommendations for overcoming or mitigating these biases by introducing and describing several debiasing interventions and quality control tools. These tools are conditionally divided into three groups: changing incentives, optimising choice architecture, and debiasing training. The author believes that incorporating behavioural insights into an analysis of the board’s ESG commitment would bring a fresh perspective to this research area, which now is typically dominated by a rational choice framework. The paper combines theoretical analysis of the existing literature in law, behavioural economics and psychology with qualitative research application based on data obtained from first-hand observations, board empirical studies, questionnaires, and focus groups.

Molecular docking analysis of marine phytochemicals with BACE-1.

Alzheimer's disease (AD), a debilitating neurodegenerative condition, is characterized by progressive cognitive decline brought about by the deposition of amyloid beta (Aβ) plaques in the brain initiates downstream neuronal dysfunction and death in AD pathogenesis. The β-secretase (BACE-1) enzyme plays a crucial role in generating Aβ from amyloid precursor protein (APP). Hence, we report the virtual screening of marine phytochemicals as BACE-1 inhibitors. 2583 compounds, retrieved from Comprehensive Marine Natural Product Database (CMNPD), were primarily screened for drug-likeliness and blood-brain barrier permeability using admetSAR 2.0 and in-house BBBper tool and resulted in a total of 635 phytochemicals, selected for further docking studies using BACE-1 as target receptor and Atabecestat as standard BACE-1 inhibitor. Seven of 635 compounds docked against BACE-1, showed better binding affinities than Atabecestat, with the red algal metabolite lactodehydrothyrsiferol showing lowest binding energy of -10.83 kcal/mol. These compounds are worth investigating further to assess their neuroprotective efficacy and pharmacokinetic properties. The study also provides a rational framework to uncover novel pharmacophores from marine sources for AD therapy acting through BACE-1 inhibition.

Fikrah Dakwah T.M. Hasbi Ash-Shiddieqy dalam Tafsirnya

The paper discusses T.M. Hasbi ash-Shiddieqy’s contextual approaches in his Qur’anic exegesis, kitab Tafsir al-Quran al-Majid or Tafsir an-Nur. It brings to light the principal ideas and framework of dakwah as set forth in his Tafsir and analysed the essence and practical ways of dakwah as alluded to in his commentary of verses and themes of dakwah in the Qur’an. It focused on his two phenomenal works, Tafsir al-Quran al-Majid and Tafsir al-Bayan that substantively displayed his unique ideas in formulating the concept and approaches of dakwah and developed significant understanding of the interpretation of ayat al-dakwah and its implication in enhancing spirituality and religiosity of Muslim in Indonesia. The structure of research is framed on qualitative approaches in the type of documentary survey of related literature. The finding shows that his Tafsir was structured on rational framework that emphasized on transmitted narration and independent reasoning (ra’y) and ijtihad that conveys the meaning based on contextual interpretation of tafsir, signifying the dynamic ideal and practice of dakwah (fiqh da‘wah) in contemporary Indonesia.

RRFL: A rational and reliable federated learning incentive framework for mobile crowdsensing

The data privacy concern for mobile users (MUs) in mobile crowdsensing (MCS) has attracted significant attention. Federated Learning (FL) breaks down data silos, enabling MUs to train locally without revealing actual information. However, FL faces challenges from the selfish and malicious behavior of MUs, potentially harming the global model’s performance. To tackle the challenges, we propose a rational, reliable FL framework (RRFL) for MCS. Firstly, utilizing Euclidean distance and tracking malicious behavior frequency, we calculate risk scores for MUs and eliminate outlier updates. Secondly, we design a long-term, fair incentive mechanism, evaluating MUs’ comprehensive reputation based on risk scores from their historical sensing tasks. Rewards are allocated exclusively to consistently outstanding MUs, encouraging honest cooperation in MCS. Finally, we construct an extensive game with imperfect information, deriving the sequential equilibrium to validate the scheme’s reasonableness. Experimental verification on the MNIST dataset demonstrates the effectiveness and reliability of RRFL, with results indicating strong accuracy and overall cost performance. MCS participants achieve the desired maximum utility, with over a 50% reduction in detection costs compared to short-term FL incentive mechanisms in MCS.

Proses Pendidikan dalam Korelasi Pemikiran Paulo Freire dan Spiritualitas Fransiskus Asisi

Paulo Freire's philosophical thinking and the spirituality of Francis of Assisi can inspire the world of education in Indonesia. The reality of educational process in schools in Indonesia still needs further reflection on whether it is truly liberating and transforming those who are involved in the process. In this article, philosophical thinking about a liberating education process is correlated with the Franciscan spirituality which serves as the driving force to realise a more humanising, liberating, and transformative education. The transformative dimension of education can be seen spiritually in the Christian tradition as the experience of repentance, that can happen in the teachers as well as in the students. The philosophical concept of education is used as a basis and rational framework for evaluating the educational process, and then the spiritual inspiration provides a spiritual framework to direct the development of educational process so that it continues to lead to the shared vision that is the goal of Christian educational institutions. This article consists of three parts exploring the philosophical-pedagogical views of Paulo Freire, the spirituality of Francis of Assisi, and the ideas arising from the correlation between the two.

A qualitative study exploring the epistemology of suffering within a Malaysian Indigenous tribe.

Despite the universal nature of suffering, few studies have examined how Indigenous ethnic minorities in non-western regions understand and respond to adversity. This study explored the epistemology of suffering among the Temiar ethnic group of Peninsular Malaysia using participant observation and semi-structured interviews. Interview transcripts of 43 participants were coded through inductive thematic analysis and a consensual qualitative approach. Three-tier themes were defined and named after subsequent analysis of core ideas and domains in the data. Major adversities reported included a lack of basic needs, lack of land-rights and unjust treatment from authorities, destruction of the forest environment and livelihood, and lack of accessibility and facilities, which were attributed to authorities' negligence of responsibilities, increasing human-animal conflict, environmental threats and imposed lifestyle changes. Faced with adversity, the Temiar endeavoured to survive by working crops and gathering forest resources. They utilized resources from family, fellow villagers, external agencies and spiritual-religious traditions. Theoretical mapping of attribution styles into the Ecological Rationality Framework revealed predominantly external-focused and concrete-perceptual rationalities privileged by strong-ties societies. These findings pointed to the resilience of a strong-ties community while adapting to the systemic suffering and risk factors stemming from a rationality mismatch with modernization and globalization trends. To conclude, we advocate for culture-sensitive mental health and psychiatric practices, as well as sustainable development for the well-being of Indigenous communities locally and globally.

Irrational or Rational? Time to Rethink Our Understanding of Financially Responsible Behavior

Models of finance rationality expect individuals to actively prepare for retirement by consistently investing and building a diversified asset portfolio, with any behavior deviating from these expectations being identified as irresponsible. This framework of (ir)rationality and (ir)responsibility ignores the role of constraints in shaping financial behavior. Extending economic geographic insights on everyday financial practices as complex processes of meaning-making, we reveal how varied approaches to retirement savings are shaped by the experience of constraints inherent in a capitalist welfare state. Using the accounts of forty-two interviewed women and people with a minority ethnic background in the UK, we show how the interplay between everyday rationalities and structural constraints construct variegated financial subjectivities and practices that reflect the context that individuals face. Our findings contribute to the theorization of variegated financial subjects and disrupt the application of corrective policy measures, such as financial education, which put more pressure on individuals rather than tackling the inequalities inherent in the capitalist welfare state broadly and in the pension system specifically.

Can templates-for-rejection suppress real-world affective objects in visual search?

Previous evidence has suggested that feature-based templates-for-rejection can be maintained in working memory to suppress matching features in the environment. Currently, this effect has only been demonstrated using abstract neutral shapes, meaning that it is unclear whether this generalizes to real-world images, including aversive stimuli. In the current investigation, participants searched amongst an array of real-world objects for a target, after being precued with either a distractor template, target template, or a no template baseline. In Experiment 1, where both distractor and target template cues were presented randomly on a trial-by-trial basis, there was moderate evidence of increased capture by aversive distractors after the distractor template cue. In Experiment 2a, however, when distractor templates were the only available cue and more time was given to encode the cue features, there was moderate evidence of effective distractor inhibition for real-world aversive and neutral stimuli. In Experiment 2b, when the task required a slower more effortful comparison of target features to stereotypical object representations, there was weaker evidence of inhibition, though there was still modest evidence suggesting effective inhibition of aversive distractors. A Bayesian meta-analysis revealed that across Experiment 2, aversive distractors showed strong cumulative evidence of effective inhibition, but inconsistent inhibition for neutral distractors. The results are interpreted from a rational search behaviour framework, which suggests that individuals utilize informative cues when they enable the most beneficial strategy and are accessible, and apply these to distractors when they cause sufficient disruption, either to search speed or emotional state.

Refining expected market return estimation: fusing multiple valuation models as an approach to reducing uncertainty

This paper presents a methodology aimed at reducing the uncertainty associated with estimating the expected market return within a bounded rationality framework. The proposed approach involves calculating the implicit rate of return using various valuation models and subsequently merging them using the Kalman Filter technique to minimize estimation errors. The contribution of this study lies in the application of the Kalman Filter, which enables the expected market return to be refined and provides a more accurate estimate by mitigating uncertainty. The ability to determine an accurately expected market return assumes critical significance in investment decision-making. Therefore, investors can utilize this methodology as a tool to enhance the precision of their investment choices. By reducing uncertainty in estimating the expected market return, this approach empowers investors to make more informed and confident decisions.

Light Engineering and Silicon Diffractive Optics Assisted Nonparaxial Terahertz Imaging

AbstractThe art of light engineering unveils a world of possibilities through the meticulous manipulation of photonic properties such as intensity, phase, and polarization. Precision control over these properties finds application in a variety of fields spanning communications, light–matter interactions, laser direct writing, and imaging. Terahertz (THz) range, nestled between microwaves and infrared light, stands out for its remarkable ability to propagate with minimal losses in numerous dielectric materials and compounds, making THz imaging a powerful tool for noninvasive control and inspection. In this study, a rational framework for the design and optimal assembly of nonparaxial THz imaging systems is established. The research is centered on lensless photonic systems composed solely of high‐resistivity silicon‐based nonparaxial elements such as the Fresnel zone plate, the Fibonacci lens, the Bessel axicon, and the Airy zone plate, all fabricated using laser ablation technology. Through a comprehensive examination through illumination engineering and scattered light collection from raster‐scanned samples in a single‐pixel detector scheme, the imaging systems are evaluated via diverse metrics including contrast, resolution, depth of field, and focus. These findings chart an exciting course toward the development of compact and user‐friendly THz imaging systems where sensors and optical elements seamlessly integrate into a single chip.

Service Networks With Open Routing and Procedurally Rational Customers

Self-interested customers’ form of reasoning and its consequences for system performance affect the planning decisions of service providers. We study procedurally rational customers—customers who make decisions based on a sample containing anecdotes of the system times experienced by other customers. Specifically, we consider procedurally rational customers in two-station service networks with open routing, that is, customers can choose the order in which to visit the stations. Because some actions may be less represented in the population, a given customer may not succeed in obtaining anecdotes about all possible actions. We introduce a novel sampling framework that extends the procedurally rational framework to incorporate the possibility that a customer may not receive any anecdotes for one of the actions; in this case, the customer uses a prior point estimate in lieu of the missing anecdotes. Under this framework, we study the procedurally rational equilibrium in open routing. We show first that as the sample size grows large, customers’ estimates become more accurate, and the procedurally rational equilibrium converges to the fully rational equilibrium (which is also socially optimal). We then uncover two main findings. First, we obtain bounds on the distance between the procedurally rational and fully rational equilibrium, aiding operational planning and showing the rate of convergence to the fully rational outcome as the sample size of anecdotes of each individual customer grows. Second, if customers obtain anecdotes of both actions with high probability, then the equilibrium will approximate the fully rational outcome, despite the sampling error inherent to procedural rationality.

Confinement effect of inter-arm interactions on glass formation in star polymer melts.

We utilized molecular dynamic simulation to investigate the glass formation of star polymer melts in which the topological complexity is varied by altering the number of star arms (f). Emphasis was placed on how the "confinement effect" of repulsive inter-arm interactions within star polymers influences the thermodynamics and dynamics of star polymer melts. All the characteristic temperatures of glass formation were found to progressively increase with increasing f, but unexpectedly the fragility parameter KVFT was found to decrease with increasing f. As previously observed, stars having more than 5 or 6 arms adopt an average particle-like structure that is more contracted relative to the linear polymer size having the same mass and exhibit a strong tendency for intermolecular and intramolecular segregation. We systematically analyzed how varying f alters collective particle motion, dynamic heterogeneity, the decoupling exponent ζ phenomenologically linking the slow β- and α-relaxation times, and the thermodynamic scaling index γt. Consistent with our hypothesis that the segmental dynamics of many-arm star melts and thin supported polymer films should exhibit similar trends arising from the common feature of high local segmental confinement, we found that ζ increases considerably with increasing f, as found in supported polymer films with decreasing thickness. Furthermore, increasing f led to greatly enhanced elastic heterogeneity, and this phenomenon correlates strongly with changes in ζ and γt. Our observations should be helpful in building a more rational theoretical framework for understanding how molecular topology and geometrical confinement influence the dynamics of glass-forming materials more broadly.

Is cryptocurrency a hedging tool during economic policy uncertainty? An empirical investigation

In light of the increasing investor interest in cryptocurrencies (CR) as alternative financial assets in financial markets, we sought to examine the connection between economic policy uncertainty (EPU) and cryptocurrencies. To do so, monthly data for Bitcoin (BTC), Ethereum (ETH), and Tether (THT) from January 2021 to April 2023 were employed. We utilized quantile regression and Granger causality analysis to investigate the relationship between EPU and cryptocurrencies. The initial results of this study suggest that EPU has little effect on the cryptocurrency market in the short-term. To enhance the strength and validity of these findings, we performed separate evaluations tailored to the unique contexts of the United States and China. The results revealed that the effects of EPU were adverse and statistically insignificant for China, while the situation differed slightly for the United States. Given that the United States has the most developed economy, its policies have a significant influence globally. As a result, cryptocurrencies have the potential to serve as efficient hedging tools. Furthermore, we incorporated nonlinear autoregressive distributed lag (NARDL) analysis to assess the asymmetric impact of EPU on cryptocurrencies by adopting both short-term and long-term perspectives. The outcomes demonstrated that both Bitcoin and Ethereum can serve as hedging tools in the short-term, although this utility diminishes in the long-term. Conversely, Tether displayed a positive association with EPU in the long-term. The findings of this study hold significance for policy-makers, offering valuable insights related to structuring efficient policies. The recommendations include fostering a rational framework for active participation from various stakeholders, including investors, governmental bodies, central banks, stock exchanges, and financial institutions. This collaborative effort aims to mitigate irrational fluctuations and enhance the acceptability of cryptocurrencies. In essence, this research underscores the potential of cryptocurrencies as a secure hedge against short-term EPU. However, we caution against assuming that any single cryptocurrency can consistently serve as a dependable investment haven.

The Rational Agent Benchmark for Data Visualization.

Understanding how helpful a visualization is from experimental results is difficult because the observed performance is confounded with aspects of the study design, such as how useful the information that is visualized is for the task. We develop a rational agent framework for designing and interpreting visualization experiments. Our framework conceives two experiments with the same setup: one with behavioral agents (human subjects), and the other one with a hypothetical rational agent. A visualization is evaluated by comparing the expected performance of behavioral agents to that of a rational agent under different assumptions. Using recent visualization decision studies from the literature, we demonstrate how the framework can be used to pre-experimentally evaluate the experiment design by bounding the expected improvement in performance from having access to visualizations, and post-experimentally to deconfound errors of information extraction from errors of optimization, among other analyses.