Description Of Model Research Articles

Evaluation of the Free Halal Certification Program (SEHATI) for Processed Livestock Micro and Small Enterprises (MSEs) in Blitar Regency

The free halal certification program (SEHATI) aims to support the Indonesian government’s goal of having one million halal-certified food and beverage products by 2024 by accelerating the rate of halal certification through the SEHATI program. Blitar Regency has 33,932 micro and small enterprises (MSEs), but only 389 have halal certification, including egg and milk processing products. The research aims to determine the effectiveness of the SEHATI program’s implementation for livestock processing MSEs in Blitar Regency. The study uses mixed methods. Data were collected through questionnaires to 12 respondents, including stakeholders and livestock processing business actors. Data analysis was conducted using descriptive analysis and logic model evaluation analysis. The effectiveness of the SEHATI program’s implementation was the data collected in the research. The results show that the SEHATI program in Blitar Regency, through socialization and assistance to livestock processing business actors, is effective. The logic model evaluation on all indicators shows that the business actors are well-informed, understand well, and strongly agree with the input, activities, output, and outcome of the SEHATI program. The conclusion of the research is that the SEHATI program in Blitar Regency significantly benefits in raising awareness, understanding, compliance, and the number of halal products from egg and milk processing business actors. This indicates the effectiveness of this program in helping livestock processing business actors obtain halal certification.

Seventy Years of Dose-response Models: From the Target Theory to the Use of Big Databases Involving Cell Survival and DNA Repair.

Radiobiological data, whether obtained at the clinical, biological or molecular level has significantly contributed to a better description and prediction of the individual dose-response to ionizing radiation and a better estimation of the radiation-induced risks. Particularly, over the last seventy years, the amount of radiobiological data has considerably increased, and permitted the mathematical formulas describing dose-response to become less empirical. A better understanding of the basic radiobiological mechanisms has also contributed to establish quantitative inter-correlations between clinical, biological and molecular biomarkers, refining again the mathematical models of description. Today, big data approaches and, more recently, artificial intelligence may finally complete and secure this long process of thinking from the multi-scale description of radiation-induced events to their prediction. Here, we reviewed the major dose-response models applied in radiobiology for quantifying molecular and cellular radiosensitivity and aimed to explain their evolution: Specifically, we highlighted the advances concerning the target theory with the cell survival models and the progressive introduction of the DNA repair process in the mathematical models. Furthermore, we described how the technological advances have changed the description of DNA double-strand break (DSB) repair kinetics by introducing the important notion of DSB recognition, independent of that of DSB repair. Initially developed separately, target theory on one hand and, DSB recognition and repair, on the other hand may be now fused into a unified model involving the cascade of phosphorylations mediated by the ATM kinase in response to any genotoxic stress.

The statistical and dynamic modeling of the first part of the 2013-2014 Euromaidan protests in Ukraine: The Revolution of Dignity and preceding times.

Ukraine's tug-of-war between Russia and the West has had significant and lasting consequences for the country. In 2013, Viktor Yanukovych, the Ukrainian president aligned with Russia, opted against signing an association agreement with the European Union. This agreement aimed to facilitate trade and travel between the EU and Ukraine. This decision sparked widespread protests that coalesced in Kyiv's Maidan Square, eventually becoming known as the Euromaidan protests. In this study, we analyze the protest data from 2013, sourced from Ukraine's Center for Social and Labor Research. Despite the dataset's limitations and occasional inconsistencies, we demonstrate the extraction of valuable insights and the construction of a descriptive model from such data. Our investigation reveals a pre-existing state of self-excitation within the system even before the onset of the Euromaidan protests. This self-excitation intensified during the Euromaidan protests. A statistical analysis indicates that the government's utilization of force correlates with increased future protests, exacerbating rather than quelling the protest movement. Furthermore, we introduce the implementation of Hawkes process models to comprehend the spatiotemporal dynamics of the protest activity. Our findings highlight that, while protest activities spread across the entire country, the driving force behind the dynamics of these protests was the level of activity in Kyiv. Furthermore, in contrast to prior research that emphasized geographical proximity as a key predictor of event propagation, our study illustrates that the political alignment among oblasts, which are the distinct municipalities comprising Ukraine, had a more profound impact than mere geographic distance. This underscores the significance of social and cultural factors in molding the trajectory of political movements.

GAMBARAN HEALTH BELIEF MODEL PADA PASIEN STROKE DI PENGOBATAN TRADISIONAL USTAD X

Stroke is the third leading cause of death after heart disease and cancer. Although stroke cases are increasing and accompanied by rapid advances in medical treatment, people prefer the use of traditional medicine because the costs incurred are cheaper than medical treatment and they believe that using alternative (traditional) medicine is safer and faster to recover compared to chemical drugs measured through the health belief model theory. The purpose of this study was to look at the description of the health belief model in stroke patients at ustad X's traditional treatment. This study uses descriptive quantitative methods. The population in this study were patients with stroke who sought treatment at Ustadz X Traditional Medicine with a sample size of 32 people. Sampling in this study using non probability sampling technique with accidental sampling type. The results showed that stroke patients at Ustadz X's traditional treatment had a health belief model categorized at a high level both in the perception of vulnerability of 30 respondents (93.8%), perceived severity of 24 respondents (75%), perceived benefits of 31 respondents (96.9%), perceived barriers of 32 respondents (100%), and cues to take action 25 respondents (78.1%).

Childhood Apraxia of Speech: A Descriptive and Prescriptive Model of Assessment and Diagnosis

Childhood apraxia of speech (CAS) represents a significant diagnostic and therapeutic challenge within the field of clinical neuropsychology, characterized by its nuanced presentation and multifactorial nature. The aim of this study was to distil and synthesize the broad spectrum of research into a coherent model for the assessment and diagnosis of CAS. Through a mixed-method design, the quantitative phase analyzed 290 studies, unveiling 10 clusters: developmental apraxia, tabby talk, intellectual disabilities, underlying speech processes, breakpoint localization, speech characteristics, functional characteristics, clinical practice, and treatment outcome. The qualitative phase conducted a thematic analysis on the most cited and recent literature, identifying 10 categories: neurobiological markers, speech motor control, perceptual speech features, auditory processing, prosody and stress patterns, parent- and self-report measures, intervention response, motor learning and generalization, comorbidity analysis, and cultural and linguistic considerations. Integrating these findings, a descriptive and prescriptive model was developed, encapsulating the complexities of CAS and providing a structured approach for clinicians. This model advances the understanding of CAS and supports the development of targeted interventions. This study concludes with a call for evidence-based personalized treatment plans that account for the diverse neurobiological and cultural backgrounds of children with CAS. Its implications for practice include the integration of cutting-edge assessment tools that embrace the heterogeneity of CAS presentations, ensuring that interventions are as unique as the children they aim to support.

ANALYSIS OF EFEECTIVENESS OF CRITICAL CONTROL IMPLEMENTATION USING PLANNED JOB OBSERVATION IN DIVISION X PT. A

International Council of Mining and Metals (ICMM) constructed a framework of Critical Control Management (CCM) to prevent fatality. PT A still experienced the accident with TRIR 0.168 in 2020 then increased 0.176 in 2021. This study aimed to assess the effectiveness of CC in Mining Industry Division X PT A. Semi-quantitative study with descriptive model conducted in Division X PT. A. Data collected according to 5 main variables, namely supervisory system, hierarchy of control implementation, control implementation, policy conformity, and hazards and risks compliance. Primary data was collected from 17 supervisors who had Planned Job Observation (PJO) responsibility through questionnaire and in-depth interviews. Secondary data was HIRADC collected from 11 departments. Data analysis was conducted by descriptive statistical analysis and content analysis. PJO result indicated 20.9% inadequate result related to work practice. Control effectiveness questionnaire signified adequate result for all 5 variables with very suitable result. In addition, in-depth interviews resulted in positive findings in all variables and negative findings for supervisory system, hierarchy of control implementation, and control implementation. Overall, the effectiveness of CC in Division X PT. A still needs to be improved, especially for the aspects of work practice control enforcement and workers’ attitude towards CC.

An empirical study on the relationship between rider recreational specialization, individual-environment fit, and heart flow experience

The aim of the study is to create and validate a model of the relationship between specialization in leisure activities, the individual's adaptation to the environment and the heart flow experience. In order to clarify the role of the individual's adaptation to the environment in the relationship between specialization in leisure activities and the heart flow experience. The study utilized purposive sampling, cluster sampling, and random sampling. Using questionnaires and interviews to survey 525 cycling enthusiasts. Descriptive analysis, model construction and testing of the constructed path relationships were conducted using SPSS 20.0 and Amos 20.0. The results indicate that the model of the relationship between recovery specialization, individual-environment fit and heart flow experience has a good overall fit. The model shows good reliability and validity. Cyclists' recreational specialization has a statistically significant effect on individual-environment fit (β = 0.38, P < 0.001). The fit between individual and environment has a statistically significant influence on the heart flow experience (β = 0.39, P < 0.001). The fit between individual and environment serves as a mediating variable between recreational specialization and the heart flow experience, with the path showing statistical significance (β = 0.15, P < 0.001). Recreational specialization has a statistically significant effect on the heart flow experience (β = 0.30, P < 0.001). And the overall path of the effects of recreational specialization of cyclists on the fit between individual and environment is (β = 0.45, P < 0.001), with the path showing statistical significance. ConclusionThe stronger the recreational specialization of cyclists and the greater the fit between individual and environment, the stronger their heart flow experience. The fit between individual and environment plays a partially mediating role.

WHY DOES CURSING MAKE LAUGH? A PSYCHOLOGICAL APPROACH

Cursing is considered an unwelcome act and is deemed impolite to society. However, it is seen that cursing behavior has become commonplace in human life. What functions do the forbidden words have in the life of the individual? If cursing is just an expression of aggression, how and why can it make you laugh? This study aims to understand why cursing produced from taboo words is perceived as funny by focusing on the relationship between profanity and humor. In this direction, a descriptive research model was used, and it was aimed to determine the place of cursing in human behavior by trying to answer the question of how banned words are acquired in the developmental process. In addition, the functions of cursing in the individual's life and his interaction with other people were touched on, and the motivations for using the words prohibited by society were tried to be understoFinally, the answer to why some swear words are perceived as funny was sought through the common denominators between cursing and humor. In this process, it has been determined that swear words undertake various functions in human life, and one of these functions is to produce strangeness and open the door to humor. The following explains under which conditions and how an offensive act such as cursing serves the purpose of entertainment.

Wetting and emergence of long-range couplings in arrays of fluid cells

Critical wetting is of crucial importance for the phase behavior of a simple fluid or Ising magnet confined between walls that exert opposing surface fields so that one wall favors liquid (spin up), while the other favors gas (spin down). We show that arrays of boxes filled with fluid and linked by channels with appropriately chosen opposing walls can exhibit long-range cooperative effects on a length scale far exceeding the bulk correlation length. We give the theoretical foundations of these long-range couplings by using a lattice gas (Ising model) description of a system. Published by the American Physical Society 2024

Takāful Al-Ijtimā: Model Development of Religious Character Education

The research aims to: describe and understand the strategy of Pondok Pesantren Manbaul Ulum Bondowoso in conducting religious character education through takāful al-ijtimā, describe and analyze the design model, implementation of the model, and implications of takāful al-ijtimā as a model of religious character education for the students. This study uses a qualitative approach with a case study research design. Data collection techniques include documentation, interviews, and participatory observation. The study also generates data analyzed using a descriptive model with steps: data collection, data condensation, data presentation, and conclusion. The results of the study are: (1) There are three strategies in the implementation of takāful al-ijtimā, namely through introduction, learning, and habituation. (2) In the implementation of takāful al-ijtimā, the students become part of the actors who are free to be creative. This means they are not only participants but also the most important part of the implementation of takāful al-ijtimā, because agreements among students determine various activities; (3) Activities in takāful al-ijtimā are designed not only as enjoyable outdoor learning but also implemented for the benefit of the community, namely: Community Development, Teaching at TPQ and Madrasah, Village Observation and Exploration, Financing Assistance and Social Rehabilitation, Alumni Development; (4) The implications of takāful al-ijtimā are manifested through the attitudes, behaviors, and skills of the students.

Complex fracture description and quasi-elastic energy development mathematical model for shale oil reservoirs

Reservoir numerical simulation is an important tool and method for the reasonable and efficient development of shale reservoirs. Accurate description of three-dimensional fractures in shale reservoir development is a necessary and sufficient condition to improve the accuracy and robustness of shale reservoir numerical simulation. This paper achieves precise characterization of complex fracture shapes and oil, gas and water flow by establishing an embedded discrete fracture model based on a non-structural network, which has advantages in the fine characterization of complex morphological fractures in the reservoir and the grid division of the reservoir. In the large matrix solution method, the Newton-Raphson method is used to linearize the nonlinear equations, the Jacobian matrix is ​​constructed, the ILU method is used for preprocessing, the conjugate gradient method is used to solve the linear equations, and the shale oil quasi-elasticity is established A fully implicit solution method for mathematical models of energy development.

Graph methods to infer spatial disturbances: Application to Huntington's Disease's speech

ObjectiveHuntington's Disease (HD) is an inherited neurodegenerative disease caused by the mutation of the Htt gene, impacting all aspects of living and functioning. Among cognitive disabilities, spatial capacities are impaired, but their monitoring remains scarce as limited by lengthy experts' assessments. Language offers an alternative medium to evaluate patients' performance in HD. Yet, its capacities to assess HD's spatial abilities are unknown. Here, we aimed to bring proof-of-concept that HD's spatial deficits can be assessed through speech. MethodsWe developed the Spatial Description Model to graphically represent spatial relations described during the Cookie Theft Picture (CTP) task. We increased the sensitivity of our model by using only sentences with spatial terms, unlike previous studies in Alzheimer's disease. 78 carriers of the mutant Htt, including 56 manifest and 22 premanifest individuals, as well as 25 healthy controls were included from the BIOHD & (NCT01412125) & Repair-HD (NCT03119246) cohorts. The convergence and divergence of the model were validated using the SelfCog battery. ResultsOur Spatial Description Model was the only one among the four assessed approaches, revealing that individuals with manifest HD expressed fewer spatial relations and engaged in less spatial exploration compared to healthy controls. Their graphs correlated with both visuospatial and language SelfCog performances, but not with motor, executive nor memory functions. ConclusionsWe provide the proof-of-concept using our Spatial Description Model that language can grasp HD patient's spatial disturbances. By adding spatial capabilities to the panel of functions tested by the language, it paves the way for eventual remote clinical application.

Matrix models from black hole geometries

Supersymmetric, magnetically charged (and possibly accelerating) black holes in AdS4 that uplift on Sasaki-Einstein manifolds Y7 to M-theory have a dual matrix model description. The matrix model in turn arises by localization of the 3d N\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$ \\mathcal{N} $$\\end{document} = 2 SCFTs, dual to the AdS4 vacuum, on the black hole horizon geometry, which is a Riemann surface Σg (or a spindle Σ). We identify the imaginary part t of the continuously distributed eigenvalues in the matrix model, and their density function ρ(t), with natural geometric quantities associated with the M-theory circle action U(1)M on the near-horizon geometry AdS2 × Y9, the internal space Y9 being a Y7 fibration over Σg (or Σ). Moreover, we argue that the points where ρ′(t) is discontinuous match with the classical action of BPS probe M2-branes wrapping AdS2 and the M-theory circle. We illustrate our findings with the ABJM and ADHM theories, whose duals have Y7 = S7/ℤk, and some of their flavoured variants corresponding to other toric Y7.

Analysis of application range of simplified models for field to thermo-field to thermionic emission processes from the cathode

Abstract Electrons can escape from the cathode surface by acquiring enough energy greater than the work function or weakening the potential barrier at the cathode surface through tunneling effects in gas discharges, which plays a dominant role in the plasma-cathode interactions and is a key factor in many plasma phenomena and industrial applications. It is necessary to illustrate the various electron emission mechanisms and corresponding applicable description models to evaluate the impacts on discharge properties, especially for numerical simulation studies. However, most current researches usually rely on previous experience to select the appropriate simplified formula to calculate the electron emission current density, and there is little work that can explicitly give the application range of the simplified formulas for describing electron emission. In this work, the detailed expressions of the simplified formulas valid for field emission to thermo-field emission to thermionic emission typically used in the numerical simulation are proposed, and corresponding application ranges are determined in the framework of the Murphy-Good theory, which is commonly regarded as the general model and to be accurate in the full range of conditions of validity of the theory. The dimensionless parametrization is used to evaluate the emission current density of the Murphy-Good formula and a deviation factor is defined to obtain the application ranges for different work functions (2.5~5 eV), different cathode temperatures (300~6000 K), and different emitted electric field (105 ~1010 V‧m-1). The deviation factor is shown to be a non-monotonic function of the three parameters. A comparative study of particle number densities in atmospheric gas discharge with tungsten cathode is performed based on the one-dimensional implicit particle-in-cell with the Monte Carlo Collision (PIC-MCC) method according to the above application ranges. It is found that small differences in emission current density can lead to variation in the distributions of particle number density due to the change of collisional environment. This present work can provide a theoretical basis to select emission models for the subsequent numerical simulation.

Data-driven economic MPC with asymptotic stability and strong duality verification using Hankel matrix

We consider the problem of dynamic regulation with an economic cost function to control unknown linear systems, in which improving the economic performance and guaranteeing the stability of economical optimal equilibrium point are control objectives. A data-driven economic MPC scheme is presented using measured input-output trajectories without a prior system identification step. Our method uses Hankel matrices which include one input-output data trajectory for prediction in economic MPC, while persistently exciting of the input generating the data is needed. One of the novelties of the presented framework is directly verifying the strong duality property from input-output trajectory with the general cost function, considered as the supply rate. This is used to find a Lyapunov function for data-driven economic MPC. Under the strong duality assumption, asymptotic stability of the economical optimal equilibrium point for the closed-loop system with terminal equality constraint is guaranteed. The proposed data-driven economic MPC approach needs only persistently exciting data trajectory along with an upper bound on the system order and need no model description and no online parameter estimation. The proposed scheme applicability compared to the existing model-based economic MPC and data-driven MPC is illustrated for continuous stirred tank reactor (CSTR) and a numerical example and the robustness of the proposed scheme is evaluated in the case of measurement noise, as well as nonlinear model for CSTR system.

Earthquakes Three-Stage Early Warning and Short-Term Prediction

Among the anomalous geophysical phenomena observed preceding earthquakes, specific attention has been given to VLF/LF, ULF (very low frequency/low frequency, ultra-low frequency) electromagnetic (EM) emissions, recorded before earthquakes, because of an interesting correlation between them and seismic activity. Numerous scientific papers have been published on this topic, providing convincing evidence of these processes observed using ground-based and satellite ground-based observations during the preparation for the earthquake. These phenomena are detectable both at laboratory and geological scales. The authors of this paper have used an avalanche-like unstable geological model of fault formation and a model of the generation of electromagnetic emissions detected before the earthquakes to prove the prediction capabilities of VLF/LF EM emissions. The first gives a clear imagination of earthquake preparation in all stages in the focal area from the beginning of the micro-cracks appearing to the final formation of fault. Another one, based on electrodynamics, explains the EM emissions origination process and offers a formula that analytically connects the observed frequency of EM radiation with the linear size of the emitted body (fault). It is worth emphasizing the synthesis and rather harmonious relation of the mentioned models. Based on the above models conducted studies clearly show that the description of a qualitative avalanche-unstable geological model of fault formation using VLF/LF EM radiation data made it possible to quantitatively characterize the full cycle of preparation and occurrence of earthquake process. Namely, in the case of VLF/LF emissions monitoring, the beginning of the “avalanche process” of ruptures is considered the first stage of early warning of an incoming earthquake. The so-called EM emissions “silence” period is assessed as the second stage of early warning. The third early warning or an alarm about an incoming earthquake may be announced immediately at the moment of the first anomaly appearance subsequently the “silence” period. This article offers the method of earthquake three-step early warning and short-term (hourly) prediction.

Effects of different precipitation on the runoff-lake library carbon cycle process in the Three Gorges reservoir

Precipitation significantly affects the carbon cycle of reservoirs. We regarded the reservoir as a biochemical reactor to investigate the impact of precipitation on the external carbon content of the CO2 (CO2–C) load and internal CO2–C cycle. Detailed descriptions of the reservoir carbon-cycle models under different rainfall conditions are provided. The field monitoring data collected literature parameters, and the calculation formulas of each part of the carbon-cycle mass balance model were integrated. Many ecological mathematical models were used in this study, including the thin boundary layer (TBL) equation, the pH sub-model equation system, the two-component exponential model, the algal synthetic carbon fixation equation, and the bacterial respiratory equation. Our study reveals that different rainfall levels in the backwater area of the Three Gorges Reservoir (TGR) would affect the dynamic balance of the reservoir carbon budget. In the discharge period of the reservoir, 10 mm d−1 rainfall is the critical point of the transformation of CO2 source and sink flux at the water-air interface. When the rainfall exceeds 24 mm d−1, the surface runoff begins to disturb the carbon budget. Our research provides a biochemical and physical model of the impact of rainfall events on reservoir CO2 budgets.

Adaptive backstepping sliding mode subject-cooperative control for a pediatric lower-limb exoskeleton robot

The passive-assist rehabilitation mode with a fixed desired trajectory neglects the subject’s active involvement and degrades the therapeutic performance in case of partial muscle strength. Therefore, this study proposes a novel subject-cooperative control based on a variable admittance control scheme and a robust trajectory control scheme for a pediatric lower-limb exoskeleton robot. Initially, the system description and dynamic modeling are briefly explained. Thereafter, a neural-fuzzy–based variable admittance control ( nf VAC) is designed to incorporate a realistic subject-exoskeleton interaction and consider the subject’s active participation. Finally, a robust adaptive backstepping sliding mode control with rapid reaching law is used to handle parametric uncertainties and external disturbances. A stepwise selection of Lyapunov functions is utilized to address the stability of the trajectory control. The effectiveness of the proposed adaptive backstepping sliding mode–neural-fuzzy variable admittance control (ABSM- nf VAC) scheme is compared with two contrast control schemes, namely, adaptive backstepping-fixed admittance control (AB-FAC) and adaptive terminal sliding mode-fuzzy variable admittance control (ATSM- f VAC) for the active-assist mode with the effect of sudden reflex. Based on the numerical results, the suggested cooperative controller has demonstrated favorable tracking performance, compliant interaction, and safety aspects during gait training.

Intention to Use Mobile-Based Partograph and Its Predictors Among Obstetric Health Care Providers Working at Public Referral Hospitals in the Oromia Region of Ethiopia in 2022: Cross-Sectional Questionnaire Study.

A partograph is a pictorial representation of the relationship between cervical dilatation and the time used to diagnose prolonged and obstructed labor. However, the utilization of paper-based partograph is low and it is prone to documentation errors, which can be avoided with the use of electronic partographs. There is only limited information on the proportion of intention to use mobile-based partographs and its predictors. The objective of this study was to determine the proportion of obstetric health care providers at public referral hospitals in Oromia, Ethiopia, in 2022 who had the intention to use mobile-based partographs and to determine the predictors of their intention to use mobile-based partographs. We performed an institution-based cross-sectional study from June 1 to July 1, 2022. Census was conducted on 649 participants. A self-administered structured English questionnaire was used, and a 5% pretest was performed. Data were entered into EpiData version 4.6 and exported to SPSS version 25 for descriptive analysis and AMOS (analysis of moment structure; version 23) for structural and measurement model assessment. Descriptive and structural equation modeling analyses were performed. The hypotheses developed based on a modified Technology Acceptance Model were tested using path coefficients and P values <.05. About 65.7% (414/630; 95% CI 61.9%-69.4%) of the participants intended to use mobile-based electronic partographs, with a 97% (630/649) response rate. Perceived usefulness had a positive influence on intention to use (β=.184; P=.02) and attitude (β=.521; P=.002). Perceived ease of use had a positive influence on attitude (β=.382; P=.003), perceived usefulness (β=.503; P=.002), and intention to use (β=.369; P=.001). Job relevance had a positive influence on perceived usefulness (β=.408; P=.001) and intention to use (β=.185; P=.008). Attitude positively influenced intention to use (β=.309; P=.002). Subjective norms did not have a significant influence on perceived usefulness (β=.020; P=.61) and intention to use (β=-.066; P=.07). Two-thirds of the obstetric health care providers in our study intended to use mobile-based partographs. Perceived usefulness, perceived ease of use, job relevance, and attitude positively and significantly influenced their intention to use mobile-based electronic partographs. The development of a user-friendly mobile-based partograph that meets job and user expectations can enhance the intention to use.

Pension system design: roles and interdependencies of tax-financed and funded pensions

The purpose of this paper is to give an overview of the roles, objectives, and trade-offs in a two-pillar pension system consisting of tax-financed, public pensions and defined contribution, individual pensions. A pension system has many moving parts and our aim is to provide the reader with an understanding of how the parts interact and work together, a theme rarely addressed in the literature. In the first part of this paper, we give a qualitative overview of market failures, behavioural aspects, and distributional issues that form the background for a multi-pillar pension system design with mandatory components. In the second part of this paper, we present three thematic, quantitative analyses that illustrate fundamental relationship concerning wealth, inequality, insurance, and demographic changes. This paper also contains a detailed description of the agent-based model used for the analyses. The model is calibrated to Danish data, but the insights drawn from the model are of general validity.