Rational Model Research Articles

Foreign aid: An agent for socioeconomic development? A case study from an emerging economy: Pakistan

AbstractPakistan's economy since its creation has remained heavily dependent on foreign aid, especially to manage the ever‐widening gap between the available financial resources, development expenditure, fiscal deficit, and current account deficit. This article critically evaluates the effectiveness of foreign aid in Pakistan from 2000 to 2022 via an in‐depth literature review and the rational actor model (RAM). Furthermore, a mixed‐method approach based on descriptive quantitative and in‐depth qualitative research methods was adopted for this study. The article demonstrates that RAM can assist policy makers, enabling them to make decisions vis‐à‐vis foreign aid while safeguarding national interests, particularly economic interests. However, this study finds that for Pakistan to achieve sustainable economic growth, increasing exports and attracting more foreign direct investment hold greater potential than continued reliance on foreign aid. In conclusion, the article prescribes policy measures to restructure Pakistan's political system to foster socioeconomic development through trade liberalization and good governance.Related ArticlesAsongu, Simplice A., and Joseph Nnanna. 2019. “Foreign Aid, Instability, and Governance in Africa.” Politics & Policy 47(4): 807–48. https://doi.org/10.1111/polp.12320.Dobransky, Steve. 2014. “Violators amongst Us: International Regimes and the Role of Compliance, a Case Study on Official Development Assistance.” Politics & Policy 42(4): 593–634. https://doi.org/10.1111/polp.12082.Scarlato, Margherita, and Giorgio d'Agostino. 2019. “The Political Dimension of Cash Transfers in Latin America and Sub‐Saharan Africa: A Comparative Perspective.” Politics & Policy 47(6): 1125–55. https://doi.org/10.1111/polp.12332.

Triplet Epipolar Images for Spaceborne Three Linear Cameras

Abstract. Epipolar images can reduce conjugate points searching from a two-dimensional to a one-dimensional space, which significantly improves the robustness and efficiency of dense matching. However, two images matched the lack of redundancy and suffered from occlusions. The third image could introduce two more stereos and improve the accuracy and completeness of the three-dimension reconstruction, which were adopted by spaceborne three linear cameras (TLCs), the ALOS PRSIM and ZY-3. In this study, we propose a new triplet epipolar images generation method for spaceborne TLCs. Triplet epipolar images were defined as any two of the three epipolar image pairs. The triplet epipolar geometry requires the imaging rays of any conjugate point to be coplanar. For high-resolution satellite images, parallel projection can be used to approximate the imaging geometry of satellite images. Therefore, a coplanar principal optical axis is a fundamental requirement for spaceborne TLCs. We propose a general workflow to generate triplet epipolar images (TEIs), which includes free-net bundle adjustment of TLCs, building a triplet epipolar geometry, correcting the y-parallaxes, and generating a rational function model (RFM) for TEIs. The ZY3-02 satellite images were used to validate the proposed method. The root means square error (RMSEs) of the free-net bundle adjustment in the image space was 0.185 pixels, which proved the fine intrinsic accuracy. After compensation, the RMSEs of the y parallaxes of the three epipolar image pairs were 0.295, 0.310, and 0.370 pixels. Owing to the simple geometry of the TEIs, the RMSEs of the RFM replacements were within 0.001 pixels.

Effects of monetary policy on household expectations: The role of homeownership

We study the role of homeownership in the effectiveness of monetary policy on households’ expectations based on individual-level microdata in the U.S. We find that homeowners lower their near-term inflation expectations and optimism about the labor market outlook in response to a rise in mortgage rates, while renters are less likely to do so. We further show that forward guidance shocks lead to similar differences between homeowners and renters. Our results suggest that homeowners pay attention to news on interest rates and adjust their expectations accordingly in a manner consistent with the intended effect of monetary policy. We characterize this empirical finding with a rational inattention model where mortgage payments create an incentive for homeowners to acquire information on monetary policy, unlike renters. This housing-driven endogenous attentiveness is the key mechanism behind the compelling empirical link among homeownership, attention, and the transmission of monetary policy.

Enhancing rational approximation of wideband resonant MIMO systems with frequency-domain data

Vector Fitting (VF) is a successful methodology for both time and frequency domain estimation of dynamic systems. These algorithms have gained popularity as a system identification tool due to their ability to provide a practical procedure for accurately approximating the measured frequency response behavior of complex and highly resonant dynamic systems using rational models. Instrumental Variable (IV) techniques can also be added to the VF algorithm to enhance the optimality of the solutions in the presence of measurement noise. In this context, this paper presents a multiple-input multiple-output (MIMO) generalization of instrumental variable (IV-)VF. The proposed algorithm can be applied to accurately estimating models formed by either continuous- or discrete-time rational basis functions (RBFs). We show that such a generalization preserves the main implementation features observed in Standard VF, but with improved optimality property for its solutions. Additionally, in order to alleviate convergence problems that may arise from the fixed high-frequency normalization, we also present in this paper how to incorporate in the proposed IV-VF method the relaxed formulation found in standard VF for both the continuous and discrete-time cases. The resulting MIMO IV-VF algorithm can be easily understood by VF users, and its applicability is discussed by using an estimation case study with two power system pieces of equipment (an 88 kV Transformer and a 550 kV Instrument Transformer) for which actual frequency domain measurements were collected in the field. It is shown that the proposed algorithm significantly improves the modeling accuracy when compared to standard VF algorithms.

A Simplified Method for Determining Fire Resistance of RC Columns Using Fire-Resistance-Column-Curves Approach

Eurocode-2 (EC2) empirical equation for fire resistance of RC columns is very sensitive to the value of column capacity at normal temperature conditions NRd\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$N_{Rd}$$\\end{document}. Techniques to determine NRd\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$N_{Rd}$$\\end{document} accurately for eccentric slender columns are difficult and computationally demanding; thus, adopting simplifications leads to unsatisfactory results in many column cases. Another shortcoming of EC2 equation is that it does not include an explicit term regarding the effect of load eccentricity on fire resistance. In this paper, a simplified method, as an attempt to overcome EC2 method defects, is developed to determine the fire resistance of RC columns using fire-resistance-column-curves. A rational numerical model is used to analyze various series of RC columns with different geometric, material, and loading properties at elevated temperatures. The results of the numerical study are utilized to construct different fire-resistance-column-curves from which simplified design equations are developed to predict the fire resistance of fixed- and pinned-end RC columns. The validity of the method is established with the aid of experimental data and it was found that in most cases, there is good agreement between assessed and test columns. It was also found that the proposed equations provide sufficiently safe predictions when appropriate material safety factors are adopted. The applicability of the proposed method to fire resistance design of RC columns is illustrated through numerical examples.

Ethics Perspective of Quality Accounting Information and Future Certainty: A Pattern of Rationally Perceived Decision

Purpose: This research tested the distinctive capability of detecting misleading information when real earnings have positively stimulated the smooth movement of the market price. Methodology/approach: This causal research used the primary data from the investor community in 2022, which amounted to 3.242 respondents for running SEM and endogeneity testing; FGD has been the fittest validation process for capturing the rationality models. Findings: High consistency of integrity-characteristic played a crucial role in designing a prudent accounting treatment which indicates the ethics code related to highly sustainable business during an uncertain future global economy. Inevitably, a measurement of trust in high earning quality pointed out that this quality measurement is to protect this investment decision in a highly secured, safe area. Practical implications: One centralized platform of financial reporting services should support the attractiveness of obedience and compliance as an incomparable advantage of positive earnings management. High-prospected firms should be assessed by high-quality accounting information; the delisting procedure has been prioritized firmly for low-prospect ones. Originality/value: This research explores the pattern of predictive simulation modeling as the existence of game theory, adapted from simplex-linear programming; this rationality model has strengthened as a fundamental requirement to illustrate high future certainty.

Consumption categories, household attention, and inflation expectations: Implications for optimal monetary policy

What inflation measure should central banks target? This paper highlights a mechanism where monetary policy optimally targets headline inflation if households pay limited attention to different consumption categories when forming inflation expectations. This result stands in contrast to standard rational expectations models, where optimal policy targets core inflation. The core inflation rate excludes volatile energy and food prices (non-core) from headline inflation. Using novel survey data on inflation expectations for disaggregated consumption categories, I find household expectations are disproportionately driven by beliefs about future non-core prices. A model of bounded rationality accounts for the empirical evidence. While forming inflation expectations, households pay more attention to the volatile non-core components. Embedding this framework into a multi-sector New Keynesian model, I show that targeting headline rather than core inflation provides welfare gains.

Strategy Is Only Partly an Illusion: “Relative Foresight” as an Objective Standard for Evaluating Foreign Policy Competence

Abstract Foreign policymakers must grapple with complexity, uncertainty, and subjectivity. These challenges raise the possibility that “strategy is an illusion”: that there is no reliable method for assessing skill at managing international politics. By contrast, we show that researchers can objectively evaluate a critical component of foreign policy competence using a standard we call “relative foresight,” defined as decision-makers’ ability to anticipate consequences of their choices as compared to alternative views based on similar information. Relative foresight can be measured without relying on value judgments or subjective probabilities. By contrast, other common frameworks for gauging foreign policy competence, such as comparing leaders’ behavior to the rational actor model or assessing procedural rationality, almost always leave room for reasonable disagreement. We demonstrate that relative foresight provides a useful tool for evaluating major foreign policy choices through case studies of Barack Obama’s decisions regarding the Afghan Surge and the raid on Osama bin Laden’s compound. Our framework has broad implications for research on normative, prescriptive, and descriptive dimensions of foreign policy analysis.

The ablation threshold and incubation effect in picosecond laser surface treatment of CFRP

The ablation threshold of carbon fiber is a critical parameter to consider in the laser surface treatment of carbon fiber reinforced polymers (CFRP), as it is necessary to design process parameters based on the threshold fluence to ensure process quality and efficiency. The incubation effect is a key factor influencing the ablation threshold, and a more rational incubation model contributes to a more accurate prediction of the ablation threshold. The conventional incubation model describes the regular decrease of the ablation threshold with an increasing pulse number. However, experimental findings show that the time interval of pulses is also a significant factor affecting the ablation and incubation process. In this study, the conventional incubation model was improved by comprehensively considering the time interval and space interval of pulses, which shows better prediction ability of ablation threshold under different parameter sets. The temperature history of CFRP under picosecond laser irradiation was calculated to support the rationality of the optimized incubation model. In addition, the laser-induced periodic surface structures (LIPSS) and the ablation of carbon fibers and resin were investigated based on the ablation threshold.

Do stakeholders matter in entry mode decisions? An investigation of international franchise governance mode choice

This article aims to analyse decisions about international entry modes from the stakeholder perspective, delving into different configurations of governance modes. A quantitative analysis is employed using data on 463 observations of Brazilian companies operating in foreign markets. We find that business group affiliation, support from institutional partners, and the characteristics of host market networks all influence company decisions to adopt lower control modes in international markets. The article contributes to international entry mode and franchising literature by applying stakeholder theory to choices about foreign entry modes. It shifts the focus away from the profit- and cost-related aspects of rational choice models towards recognizing the substantial impact of stakeholders, enriching our comprehension of this complex decision-making process. Our study further offers a more nuanced understanding of mode choice by investigating modes of international franchise governance with varying levels of commitment, control, and risk.

Enhancing photovoltaic systems using Gaussian process regression for parameter identification and fault detection

In recent years, significant efforts have been made to enhance the power-harnessing capacity of photovoltaic (PV) systems. Despite advancements, PV systems remain less efficient. Faults occurring in the PV system are one of the major reasons for reduced output power. Improving PV system efficiency reduces overall costs and extends the system’s operational lifespan. This research utilizes a machine learning-based non-linear Gaussian posterior distribution (GPR) algorithm for detecting, classifying, and localizing various faults in PV systems. The proposed technique uses solar cell parameters to classify the faults based on the severity levels. The experimental results validate the effectiveness of the proposed approach, emphasizing its potential to improve PV system performance and reliability. The model statistics show that training time for squared exponential GPR is shorter than exponential and rational quadratic GPR models, with squared exponential GPR taking 2771.5 s, while exponential GPR and rational quadratic GPR took 4227.6 s and 6660.5 s, respectively. Despite longer training time, rational quadratic GPR has the lowest root mean squared error (RMSE) validation, ranging from 0.016598 to 0.025616, among the three approaches. Exponential GPR, with an RMSE range of 363.59 to 397.1 across various faults, was chosen for its superior performance when compared to the other approaches.

Spatial coal seam modeling and reserve estimation using geostatistical methodologies by GIS technique in a selected coalfield in Ermenek Basin, Turkey

The accurate and reliable calculation of tonnage and quality of coal is vital for the success of mining projects. The Ermenek coal basin is located in the Western Taurus Mountains in the southern part of Turkey, which covers an area of approximately 620 km2 and is a Neogene coal basin. This paper generates spatial modeling of Pamuklu-Tepebaşı coal seams in the Ermenek Basin and the prediction of coal reserve by using geostatistical methods with Ordinary Kriging (OK) based on the GIS technique. The data used in the study were obtained from 82 boreholes belonging to a private company that has actively produced coal in the Pamuklu-Tepebaşı coalfield. In this study, the OK method was applied to spatial coal seam modeling for comparison of the performance of 11 distinct models. Using the rational quadratic models better explained the spatial structure of the coal seam depth data. The nugget-sill ratio indicated high spatial dependency with 0.01 and 0.02 for coal seam upper-lower surfaces, respectively. The kriged coal depth maps for upper and lower coal seam surfaces have been created using ArcGIS 10.2 software. As a result of these analyses, it was calculated that there is a coal reserve of 3.734.017 m3 using the determined surfaces with OK in the study area. Furthermore, developed spatial distribution maps in the study area could be helpful to plan further exploration activities.

The Politics of Film Aesthetics: Filmososphy, Post-Theory, and Rancière

The question of aesthetics in film-theoretical discourse today is split between, on the one hand, a film-phenomenological or “filmosophical” approach that values the putatively immanent relation between film and the mind and, on the other, the naturalizing epistemology of post-theory, which reduces the question of film aesthetics to one of poetics. What unites these otherwise disparate projects is the consideration of aesthetics divorced from the question of politics; in both cases, the social or political significance of the film–spectator relationship has been summarily purged. In this article, I will offer an alternative account of film aesthetics that draws on Jacques Rancière’s theory concerning the mutually determining relationship between aesthetics and politics. In particular, I will consider the relevance of Rancière’s thesis concerning what he calls the distribution of sensible to current accounts, as well as taking up his novel consideration of aesthetic distance and the “emancipated” spectator. With respect to film phenomenology, I will examine how its film-theoretical program rests on the flawed concept of a de-politicized spectator enchained by the film image. With respect to post-theory, I will examine how its appropriation from cognitive science of the rational agent model of meaning making inappropriately limits the political potential of film aesthetics.

Listening to the noise: On price efficiency with dynamic trading

This paper shows that, in the canonical dynamic rational expectations equilibrium model, public information about future noise trading is potentially detrimental to contemporaneous price efficiency. Our result supports concerns that social sentiment investing, sparked by growing availability of big data and advances in the way of processing it, exacerbates, rather than ameliorates, the negative impact of noise trading on price efficiency.

Some conceptual models of foreign policy decision-making based on historical examples

The article analyses four conceptual models of assessing foreign policy decision-making with relevant examples of application from the history of international relations. The study, in particular, examines the behaviorist model, which links changes in the actions of a specific country in the global arena with the peculiarities of the psychological profi le of a single high-ranking representative of state power. The article also addresses the cognitivist model of bounded rationality, which assumes that the decision-maker at the political level is limited in his or her thinking functions, may lack some necessary information, and almost always feels pressure from the external social environment. The study also explains how the incrementalist model works. Its proponents are convinced that a country's development, including its geopolitical position, is primarily infl uenced by confl ict between diff erent authorities who bargain with each other but eventually come to a mutually acceptable agreement. Finally, the article provides information on the model of comprehensive rationality, in which players with individual interests are guided by the desire to maximise benefits and minimise risks when making decisions, including in the field of foreign policy.

Revive Textile and Product Textile Industry Performance Through Improved Implementation of Key Spatial Utilization Program Policies

The space utilization program policy, which is realized in preparing indications for the main space utilization program, is the key to achieving spatial planning objectives and a reference in regional development planning. This research aims to examine and analyze how the Bandung Regency Government (Department of Industry and Trade, Regional Planning, Research and Development Agency, Public Works and Spatial Planning Service, and Environmental Service) implements phase 1 space utilization program policies (2017- 2021) based on a combination of rational model and management models dimensions from Khan and Khandaker's policy implementation theory. The method used in this research is descriptive qualitative through interviews with sources using purposive sampling supported by literature from journals, data, and other reports from central and regional governments that are relevant to the research. The results of this research show that the implementation of the space utilization program policy has not been running optimally, so improvements are needed in terms of maintaining consistency between the main space utilization program and regional sectoral programs, through periodic monitoring before the 5-year review, improving the quality of resources in optimizing expenditure budgeting planning capabilities regional areas, building intense communication with SMEs and increasing cooperative connectivity between the TPT industry which functions upstream and downstream in the Bandung Regency area.

Machine learning predictions for carbon monoxide levels in urban environments

The increasing carbon emissions in Malaysia necessitate accurate methods to track and control pollution levels. This study focuses on predicting carbon monoxide (CO) concentrations in Petaling Jaya using various machine learning models, and two important parameters, CO concentration and time, were considered in the analysis. Six distinct machine learning models were assessed to gauge their predictive capabilities. These models encompassed a range of regression modeling techniques namely; Linear, Tree, Gaussian Process, Ensemble of Trees, Support Vector, and Artificial Neural Networks (ANN) modelling. The Matern 5/2 Gaussian Process Regression (GPR) model consistently outperformed other models across all scenarios, demonstrating high R2 values and low RMSE, MSE, and MAE values. Specifically, in scenarios 1, 2, 3, and 4, the Matern 5/2 model exhibited the lowest RMSE (0.084–0.088) and highest R2 (0.97), highlighting its reliability and robustness in predicting CO concentrations. Additionally, the Rational Quadratic model achieved an R2 of 0.97 with an RMSE of 0.088 in scenario 1, while the Quadratic SVM excelled in scenario 3 with an R2 of 0.965 and low RMSE, MSE, and MAE values (0.085, 0.007, and 0.066). These findings provide valuable insights for environmental protection, renewable energy transition, energy efficiency, sustainable land use planning, and public awareness. However, acknowledging the study's single-area focus and potential limitations in representing diverse regions, further research is warranted to explore carbon emissions across varied areas and enhance the generalizability of the findings.

Variances in Smoking Expectancies Predict Moment-to-Moment Smoking Behaviors in Everyday Life.

Many policy decisions about tobacco control are predicated on rational choice models, which posit (1) that smokers are aware of the risks of cigarettes and (2) that perceived risks have a consistent influence on continued smoking behavior. However, research shows that beliefs about smoking may be vulnerable to changes in internal and external contexts. Using ecological momentary assessment, we tested this by measuring how smokers' (N = 52) beliefs about smoking varied over time. Four times per day over 1week, participants responded to measures of smoking intentions, risk perceptions, mood and social outcome expectancies, and internal and external contextual factors. We analyzed this data using multilevel modeling, finding that both smoking intentions, risk perceptions, and expectancies differed between participants as well as between moments. Risk perceptions and mood expectancies were a significant predictor of intentions to smoke in the next 30min, illustrating the importance of these beliefs in decisional processes. This study was preregistered at the Open Science Foundation: https://osf.io/wmv3s/?view_only=71ad66d3ce3845fcb3bf2b9860d820c9 . Our analytic plan was not preregistered.

Atomic Signaling: Exploring Likelihood of Success and Military Necessity through the Bargaining Model of War

Did the decision to drop the atomic bomb on Hiroshima and Nagasaki during World War II meet the military necessity and likelihood of success criteria of the Just War Theory? Many scholars and ethicists have argued that they did not. We examine the decision through the rationalist models of war preferred by international relations theorists. We introduce a simple version of the bargaining model of war and tease out its essential differences with the models of war (and, therefore, military necessity) used by most Just War Theorists. Then, we reconstruct the decision to drop the bomb on Japan, focusing especially on information states, preference sets, and operational realities, to show that, if the dropping of the atomic bomb on Hiroshima and Nagasaki does not meet military necessity and likelihood of success criteria, no other kind of military activity can.

Rational generalized mixed finite element method for 2D linear elastic problems

Combining the ideas of rational displacement finite element and generalized mixed finite element, the rational generalized mixed element with 5 nodes is proposed. The finite formulations for the proposed element are derived on the basis of the generalized mixed variational principle, and the two field variables of displacement and stress can be solved simultaneously. Fundamental solutions of planar linear elasticity are adopted as the displacement interpolation function, while polynomials satisfying the equilibrium equation are adopted as the stress interpolation function. Both the displacement and stress boundary conditions can be introduced directly at same time in the proposed method, which contributes to being a more rational model. The solution technique is utilized to analyze a couple of representative static problems, and the results show the properties of excellent accuracy and good convergence. In addition, it is found to be evident for improvement of the accuracy when the stress boundary conditions are applied.