Archetypal Model Research Articles

Sufferer Odysseus in Video Games of the 21st century

In recent decades, the active development of the video game market, as well as the rapid growth in the number of game content consumers, have caused an urgent need for scientifi c research of these products. In foreign game studies, there are two approaches: narratology and ludology. The narratological approach, which is based on the analysis of the plot of the game scenario, has a long history and is closer to the humanities, while ludology includes the digital aspects of video games. Based on the fi rst approach, which allows us to consider in detail various aspects of the psycho-emotional impact on the educational level of the game user, we can offer some recommendations for video content creators, as well as for the bodies that control the creation of such products. The article analyzes three computer games that have the name Odysseus in their titles and that use episodes and details from Homer’s heroic epic The Odyssey in their plots: the 2000 Odyssey quest from the French company Cryo Interactive (The Odyssey: The Search for Ulysses), the 2011 game by the Russian company Nevosoft Odysseus. The Long Way Home, and the adventure action game with numerous quests from Ubisoft Assassin’s Creed, which released the fi rst part of the game Assassin’s Creed: Odyssey in 2018. Using comparative methods, the narratives of the listed games are compared with the narrative in the original version f Homer’s epic poem The Odyssey, and elements of the Gothic tradition and associated popular culture in the gameplay scenario are noted. As a result of the study, it became obvious that the postmodernist general cultural context of modern civilization and game designers, who turned to ancient archetypal models for advertising purposes, chose the most destructive, barbaric type of using ancient names and narratives. In classical plots, there are no moral guidelines left, laid down there by classical authors. An important issue, which the conducted analysis leads to, is the problem of responsibility of video game developers for the educational, upbringing and informational content of the content they offer.

Bodies of Absence: Analysis of the Representation of Family Grief in the Face of the Abduction of Daughters in Ruido (Natalia Beristáin, 2022) and Pororoca (Constantin Popescu, 2017)

The purpose of this article is to analyze the way in which the struggle and suffering on the part of the family in the face of a daughter’s abduction is represented in two films, the Mexican film Ruido (Natalia Beristáin, 2022) and the Romanian film Pororoca (Constantin Popescu, 2017). The insecurity situation in México and Romania is so different to the point of establishing two models. The records of assassinations of police officers, political candidates, journalists and the forced disappearance of young people in México surpass those of any other country. Firstly, in the Mexican model, the analysis takes as an archetypal model the figure of Demeter, a Greek divinity (goddess of agriculture), whose daughter, Persephone, was abducted for sexual purposes by Hades, god of the underworld. The unexpected absence of the daughter, the desperate search, as well as the lack of clues and traces, plunge the mother into a spiral of pain that leads her to an anguished search. On the other hand, in the Romanian model, the loneliness of the searching father, solitary and without collective support, stands out. The analysis proposes, in the Mexican case, the category “strident sequence”, whose function is to regulate the narrative flow and the subjective construction of the character in the face of the irreparable pain of loss.

Embodied carbon benchmarks of single-family residential buildings in the United States

The objective of this work was to define and implement a methodology for establishing theoretical, science-based embodied carbon benchmarks for single-family, detached residential buildings based on the United States Department of Energy prototype single-family residential building energy models. The expected differences in materiality across 16 climate zones and 4 foundation types resulted in 64 archetypical single-family residential building models. Probabilistic life cycle assessment was applied to a material quantity takeoff of each building model to approximate each building model's material use intensity (MUI, kg/m2) and embodied carbon intensity (ECI, kgCO2e/m2). The results indicate that average MUIs range from 185 to 346 kg/m2 and average ECIs ranged from 39 to 121 kgCO2e/m2. The choice of life cycle assessment (LCA) data had a significant impact on the ECI results. More specifically, ECIs calculated using One Click LCA were approximately 7 % and 44 % higher than those from Tally and Athena Impact Estimator for Buildings (Athena), respectively. When accounting for theoretical maximum biogenic CO2 storage (not including end-of-life treatment), all net CO2 emissions intensities computed using Athena were negative, indicating that the buildings were net-CO2 storing. When using One Click or Tally, 28 % and 50 % of the building models were net-CO2 storing, respectively. The results presented herein can be used to establish theoretical, science-based embodied carbon benchmarks for single-family residential buildings in the United States. In addition, the methodology could be adopted by entities seeking to establish building-related embodied carbon emissions reduction targets.

Modelling Nigerian residential dwellings: bottom-up approach and scenario analysis

Nigeria’s residential buildings consume a substantial amount of the country’s energy, so achieving a net-zero building sector with a rapidly growing population is a key challenge. To bridge the gap in research at a national level and support Nigeria’s commitment to an unconditional 20% reduction in emissions by 2030, this study develops bottom-up archetype models of different residential building typologies to estimate the energy and material use of Nigerian residential buildings. This creates an overview of the residential stock and how different archetypes perform. The study calculates a baseline energy and material use of Nigeria’s residential building stock using the BuildME tool and converts these data into CO2 emissions using a life-cycle assessment. Scenarios are modelled for 2020. Nigeria’s residential dwellings use approximately 0.3 kt of material per dwelling over a lifetime of 50 years and 2404 kWh/yr of energy per dwelling. Annualised, dwellings emit 2500 kgCO2-eq per dwelling due to material and energy use. Scenarios proposed for meeting Nigeria’s emissions targets will require improved energy efficiency, decarbonising the building envelope through a shift in construction materials and decarbonising grid electricity. Policy relevance This study provides a comprehensive analysis of the energy and material use of residential buildings in Nigeria, focusing on achieving the country’s commitment to a 20% reduction in emissions by 2030. It employs a bottom-up approach to model energy and material use, revealing the peculiarities of the dwelling stock across Nigeria’s four climatic zones. The study explores the implications of different policy scenarios on sustainable housing. The research suggests that meeting Nigeria’s emissions targets requires improved energy efficiency, a shift in construction materials and decarbonisation of grid electricity. It also highlights the potential benefits of a policy switch to materials such as timber, earthen blocks, adobe bricks and clay, which could significantly reduce construction-related emissions. These changes could improve the quality of life of households in Nigeria, combat climate change on a global scale and bring economic advantages to Nigeria.

Bounded diffusing diffusivities: Brownian yet non-Gaussian diffusion

Brownian yet non-Gaussian diffusion has been recently reported in a huge number of biological and soft matter systems. Meanwhile, an archetypal theoretical model called ‘diffusing diffusivities’ is proposed to interpret it. Based on this spirit of diffusing diffusivities, we extend the original diffusing diffusivities (with the unbounded exponential distribution) to the case that the diffusivity is constructed by a bounded stochastic process, i.e., corresponding diffusivities (with certain upper and lower bounds) obeying bounded power-law distribution. We demonstrate that Brownian yet non-Gaussian diffusion can be reproduced by this bounded diffusing diffusivities, via numerical simulations and analytic derivations. Specifically, the short-time distribution of displacement, as the indicator of the Brownian yet non-Gaussian diffusion, is derived analytically by means of superstatistical approach. This short-time distribution is distinct from the Laplace distribution that appears in the original model. The long-time Gaussian displacement distribution is obtained by utilizing the subordination concept. The bounded diffusing diffusivity here may be beneficial to further understanding the diffusive process of particles in complex and inhomogeneous environments. Our work enriches the diffusing diffusivity family and sheds new light on the concept of the Brownian yet non-Gaussian diffusion under stochastic process.

Hexa-(2-ethylhexyl)-hexa-peri-hexabenzocoronene as archetypal model compound of asphaltenes and MAONs

Hexa(ethylhexyl)-hexa-(peri)-hexabenzocoronene (HEH-HBC) was selected as model compound of asphaltenes. In fact, in the “island” model the asphaltenes are described with a relatively large aromatic core surrounded by aliphatic chains attached to the edges of the core. In their turn the asphaltenes are considered model compounds of MAONs (Mixed Aromatic-aliphatic Organic Nanoparticles), the possible carriers of the Unidentified Infrared Bands (UIBs), i.e. a set of certain infrared features found in very different astrophysical objects. The differential scanning calorimetric analysis (DSC) shows that HEH-HBC displays a discotic liquid crystal behavior, similar to that observed also in a selected authentic petroleum asphaltene sample. The electronic absorption spectrum of HEH-HBC was recorded for the first time in hydrocarbon solvents fully transparent in the UV, permitting to observe the UV part of HEH-HBC and to compare it with that of unsubstituted HBC. The FT-IR spectrum of HEH-HBC was recorded not only at room temperature but also at higher resolution at the liquid nitrogen temperature. The molar extinction coefficients and integrated molar absorptivity of the main bands were also estimated. The results are briefly discussed from an astrochemical perspective.

Symbolic-numeric algorithm for parameter estimation in discrete-time models with exp

Dynamic models describe phenomena across scientific disciplines, yet to make these models useful in application the unknown parameter values of the models must be determined. Discrete-time dynamic models are widely used to model biological processes, but it is often difficult to determine these parameters. In this paper, we propose a symbolic-numeric approach for parameter estimation in discrete-time models that involve univariate non-algebraic (locally) analytic functions such as exp. We illustrate the performance (precision) of our approach by applying our approach to two archetypal discrete-time models in biology (the flour beetle ‘LPA’ model and discrete Lotka-Volterra competition model). Unlike optimization-based methods, our algorithm guarantees to find all solutions of the parameter values up to a specified precision given time-series data for the measured variables provided that there are finitely many parameter values that fit the data and that the used polynomial system solver can find all roots of the associated polynomial system with interval coefficients.

The Model of Desire and Fear as an Invariant in Literature

The issue of the projection of the desire and fear model in literature is analyzed from different perspectives in this research. Desire and fear along with forming a dichotomy together, complement each other. Sometimes the feeling of fear turns into a barrier in front of the feeling of desire, whereas, the feeling of fear sometimes saves him (her) from taking some wrong steps. Humans are born as biological beings, but they are formed as social beings. Each person is formed through the relationship between the individual and society; he acts taking into account the stereotypes of the society - the public opinion. This, very fact, forms the balance of desire and fear within each person. When the balance of desire and fear is disturbed, it sometimes leads to tragedy for the individual. In the analysis of a work of art, the psychological basis of the tragedy is called post-traumatic syndrome.One of the ways to determine the character of images in literature is the model of desire and fear. Throughout the work, as a result of the desires and fears of the characters, taking wrong and right steps, the reader forms an opinion about whether they are positive or negative characters. The main focus of the prose works of Ramiz Rovshan and Isa Huseynov, which we have chosen for research, is the human and his psychological state against the background of war, and the existence of this state was revealed in the archetype model of desire and fear. We analyze this existence with deixis theory as a research method.

When and why microbial-explicit soil organic carbon models can be unstable

Abstract. Microbial-explicit soil organic carbon (SOC) cycling models are increasingly being recognized for their advantages over linear models in describing SOC dynamics. These models are known to exhibit oscillations, but it is not clear when they yield stable vs. unstable equilibrium points (EPs) – i.e., EPs that exist analytically but are not stable in relation to small perturbations and cannot be reached by transient simulations. The occurrence of such unstable EPs can lead to unexpected model behavior in transient simulations or unrealistic predictions of steady-state soil organic carbon (SOC) stocks. Here, we ask when and why unstable EPs can occur in an archetypal microbial-explicit model (representing SOC, dissolved OC (DOC), microbial biomass, and extracellular enzymes) and some simplified versions of it. Further, if a model formulation allows for physically meaningful but unstable EPs, can we find constraints in the model parameters (i.e., environmental conditions and microbial traits) that ensure stability of the EPs? We use analytical, numerical, and descriptive tools to answer these questions. We found that instability can occur when the resupply of a growth substrate (DOC) is (via a positive feedback loop) dependent on its abundance. We identified a conservative, sufficient condition in terms of model parameters to ensure the stability of EPs. Principally, three distinct strategies can avoid instability: (1) neglecting explicit DOC dynamics, (2) biomass-independent uptake rate, or (3) correlation between parameter values to obey the stability criterion. While the first two approaches simplify some mechanistic processes, the third approach points to the interactive effects of environmental conditions and parameters describing microbial physiology, highlighting the relevance of basic ecological principles for the avoidance of unrealistic (i.e., unstable) simulation outcomes. These insights can help to improve the applicability of microbial-explicit models, aid our understanding of the dynamics of these models, and highlight the relation between mathematical requirements and (in silico) microbial ecology.

Gaussian-based plug load profile prediction in non-residential buildings archetype

This paper presents an innovative approach to addressing the prevalent challenge of simulation uncertainty in urban building energy modeling (UBEM), focusing on accurately determining occupant-related input parameters. Traditional UBEM methods typically rely on standard schedules to create archetype models, which often fail to reflect the variability observed in real-world scenarios. To overcome this limitation, this research introduces a novel framework for generating electricity use profiles in institutional building archetypes across various climate zones. This framework integrates k-means clustering with Gaussian processes, effectively incorporating uncertainties into the prediction models. The evaluation of this stochastic model suggests that the methodology can give acceptable predictions on the electricity consumption of institutional buildings. The model demonstrates robust predictive capabilities, achieving a CVRMSE as low as 11% on weekdays and 8.7% on weekends, reflecting its strong predictive performance. However, its performance varies among different clusters and time periods, with specific clusters displaying more significant predictive inaccuracies at particular times. These results emphasize the importance of fine-tuning models and offer opportunities for improvement in predicting urban building energy consumption. This can be achieved by incorporating sensor-derived data to develop more detailed building profiles that include variable electricity usage patterns. This methodology has been integrated into a UBEM tool, enabling the generation of more realistic electricity load profiles.

Unveiling Hidden Hyperuniformity: Radial Turing Pattern Formation of Marangoni-Driven SiO2 Nanoparticles on Liquid Metal Surface.

Mastering the self-organization of nanoparticle morphologies is pivotal in soft matter physics and film growth. Silicon dioxide (SiO2) nanoparticles are an archetypical model of nanomotor in soft matter. Here, the emphasis is on the self-organizing behavior of SiO2 nanoparticles under extreme conditions. It is unveiled that manipulating the states of the metal substrate profoundly dictates the motion characteristics of SiO2 nanoparticles. This manipulation triggers the emergence of intricate morphologies and distinctive patterns. Employing a reaction-diffusion model, the fundamental roles played by Brownian motion and Marangoni-driven motion in shaping fractal structures and radial Turing patterns are demonstrated, respectively. Notably, these radial Turing patterns showcase hyperuniform order, challenging conventional notions of film morphology. These discoveries pave the way for crafting non-equilibrium morphological materials, poised with the potential for self-healing, adaptability, and innovative applications.

Revisiting the Most Stable Structures of the Benzene Dimer.

The benzene dimer (BD) is an archetypal model of π∙∙∙π and C-H∙∙∙π noncovalent interactions as they occur in its cofacial and perpendicular arrangements, respectively. The enthalpic stabilization of the related BD structures has been debated for a long time and is revisited here. The revisit is based on results of computations that apply the coupled-cluster theory with singles, doubles and perturbative triples [CCSD(T)] together with large basis sets and extrapolate results to the complete basis set (CBS) limit in order to accurately characterize the three most important stationary points of the intermolecular interaction energy (ΔE) surface of the BD, which correspond to the tilted T-shaped (TT), fully symmetric T-shaped (FT) and slipped-parallel (SP) structures. In the optimal geometries obtained by searching extensive sets of the CCSD(T)/CBS ΔE data of the TT, FT and SP arrangements, the resulting ΔE values were -11.84, -11.34 and -11.21 kJ/mol, respectively. The intrinsic strength of the intermolecular bonding in these configurations was evaluated by analyzing the distance dependence of the CCSD(T)/CBS ΔE data over wide ranges of intermonomer separations. In this way, regions of the relative distances that favor BD structures with either π∙∙∙π or C-H∙∙∙π interactions were found and discussed in a broader context.

Transcriptional drift in aging cells: A global decontroller

As cells age, they undergo a remarkable global change: In transcriptional drift, hundreds of genes become overexpressed while hundreds of others become underexpressed. Using archetype modeling and Gene Ontology analysis on data from aging Caenorhabditis elegans worms, we find that the up-regulated genes code for sensory proteins upstream of stress responses and down-regulated genes are growth- and metabolism-related. We observe similar trends within human fibroblasts, suggesting that this process is conserved in higher organisms. We propose a simple mechanistic model for how such global coordination of multiprotein expression levels may be achieved by the binding of a single factor that concentrates with age in C. elegans. A key implication is that a cell's own responses are part of its aging process, so unlike wear-and-tear processes, intervention might be able to modulate these effects.

Primary processes of the archetypal model complex azido(porphinato)iron(III) from ultrafast vibrational-electronic spectroscopy.

Azidoiron complexes serve as valuable photochemical precursors for catalytically active species containing high-valent iron. In bioinorganic chemistry, azido(tetraphenylporphinato)iron(III), i.e., [FeIII(tpp)(N3)] with tpp = 5, 10, 15, 20-tetraphenylporphyrin-21, 23-diido, constitutes the archetypal model system that was used to access for the first time the terminal nitridoiron core, FeV ≡ N, in the biomimetic redox-non-innocent ligand environment. So far, the light-induced dynamics leading to the oxidation of the metal and the release of dinitrogen from the N3-ligand have only been studied for precursors featuring redox-innocent auxiliary ligands that simplify the electronic structure change accompanying the photo-transformation. Here, we monitored the primary events of the above paradigmatic complex, following its optical excitation in the ultraviolet-to-visible spectral range using femtosecond spectroscopy with probing in both the UV-vis and mid-infrared regions. Following ultrafast Soret-excitation at 400nm, the complex relaxes to the lowest excited sextet state by a first internal conversion in less than 200fs. The excited state then undergoes vibrational relaxation on a time scale of roughly 2ps before internally converting yet again to recover the sextet electronic ground state within 19.5ps. Spectroscopic evidence is obtained neither for a transient occupation of the energetically lowest metal-centered state, 41A1, nor for vibrational relaxation in the ground-state. The primary processes seen here are thus in contrast to those previously derived from ultrafast UV-pump/vis-probe and UV-pump/XANES-probe spectroscopies for the halide congener [FeIII(tpp)(Cl)]. Any photochemical transformation of the complex arises from two-photon-induced dynamics.

Heuristic model predictive control implementation to activate energy flexibility in a fully electric school building

This paper presents a heuristic model predictive control (MPC) methodology to activate energy flexibility in fully electric school buildings in cold climates to reduce electricity demand during peak demand periods of the electric grid. To streamline the implementation of MPC, the proposed approach employs grey-box archetypes, a clustering of weather conditions to identify typical scenarios and a limited number of possible setpoint profiles. A data-driven grey-box approach is used to create archetype models for different thermal zones in a typical school building; this approach enables rapid development and requires much less calibration data than black-box models. A third-order resistance-capacitance thermal network for zones with convective heating and a fourth-order model for zones with radiant floor heating are developed and calibrated using measured data from an all-electric school building in Québec, Canada. The weather data are clustered into several categories, representing different weather conditions (6 clusters representing two ambient temperature ranges and three solar radiation ranges). The heuristic MPC strategy uses predefined optimal setpoint profiles for each cluster and weather prediction one day ahead to shift the building load from on-peak to off-peak hours. For each heuristic MPC scenario, the model runs a simulation using forecast weather data to quantify and activate energy flexibility in response to grid requirements. The developed MPC framework was implemented in the school used as the case study. Ten classrooms are investigated, with six using the MPC and four as a reference case with the reactive control system and default zone setpoint profiles. Results indicate that the school building can provide between 47% and 95% energy flexibility (load shifting relative to reference) during on-peak hours and up to 44% electricity cost reduction while satisfying acceptable temperature constraints. By implementing the proposed MPC, energy flexibility of 32 W/m2 of floor area for the zones with a convective heating system and 65 W/m2 of floor area for the zones with radiant heating can be achieved during a demand response event. The proposed strategy can be generalized and replicated in other school buildings.

Varying entropy degrees of freedom effects in low-scale leptogenesis

We analyze in detail the effect of varying entropy degrees of freedom on low-scale leptogenesis models. As an archetypal model, we consider the triresonant leptogensis (TRL) scenario introduced recently by the authors, where the neutrino-Yukawa coupling matrix is dictated by an approximate Zn discrete symmetry (with n=3, 6). TRL models exhibit no preferred direction in the leptonic flavor space and have the remarkable feature that leptogenesis can successfully take place even if all light neutrinos are strictly massless up to one-loop order. Most interestingly, for TRL scenarios with heavy Majorana neutrinos lighter than 100 GeV, temperature varying degrees of freedom associated with the entropy of the plasma have a dramatic impact on the predictions of the baryon asymmetry in the Universe (BAU), and may depend on the freeze-out sphaleron temperature Tsph. We find that this is a generic feature of most freeze-out low-scale leptogenesis models discussed in the literature. In the same context, we consider heavy-neutrino scenarios realizing dynamics related to critical unstable qudits in the thermal plasma and assess their significance in generating the BAU. The phenomenological implications of TRL scenarios at the intensity and high-energy frontiers are analyzed. Published by the American Physical Society 2024

The Neognostic Myth in Cyberspace

The subject of the study is the functioning of the neognostic myth in cyberspace. Such aspects of the topic as the relationship between religion and the Internet from a non-instrumental point of view on technology are considered in detail. Digital and network technologies are seen as a modern repository of religious beliefs, and not as tools for proselytizing or proclaiming the good news. With the help of an archaeological approach to technical media, the author proposes to determine the deep times of the digital disclosure of technological mysticism, depending on a specific technical materiality characterized by wireless networks and mobile devices. Currently, there are trends in world culture towards the construction of a syncretic myth, which contains elements of the dying Christian paradigm and trends introduced into it from the outside or emerging again. The categorical apparatus developed in the discourse of postmodern aesthetics makes it possible to apply such methods as phenomenological, discursive, hermeneutic and archetypal analysis to the analysis of visual culture. In the study of visual neognostic myth, the concepts of archetypal models, plots, cliches, the theory of the evolution of symbols, general cultural positions of psychoanalysis and the concept of myth are used. The main conclusions of the study are as follows. Gnostic epistemology underlies the imagination of cyberspace. There is a constant in the history of the West that Eric Davis calls "techno-gnosis." In this regard, cybergnosis would be only the latest incarnation of a profound phenomenon. In the world of cyberculture, technognosis manifests itself in hacker ethics, cyberpunk literature, science fiction films and video games. With the help of an archaeological approach to technical media, the deep moments of the digital are determined, showing that there is a technological mysticism in video games that depends on a specific materiality. The new metamodern perception of the world recognizes not only the possibility of perceiving various logical and irrational paradigms of the world order and gaining knowledge about it, but also gives a positive connotation to pluralism itself, when diversity becomes more desirable than truth, which is characteristic of cyberspace. The novelty of the research lies in the fact that the research is the basis for the formation of a clear conceptual understanding of the phenomenon of the neognostic myth in its visual form (as opposed to verbal) as a dynamic cultural model generated by digital art strategies and implemented today in media culture.

Why do people buy insurance? A modern answer to an old question

AbstractThree archetypical models of insurance demand based, respectively, on risk aversion, state‐dependent marginal utility, and imperfectly divisible consumption are presented. These models show that the common principle underlying insurance is not always a risk transfer but meeting a conditional need. In general, insurance aligns the risk in one's financial endowment with the risk in one's financial needs. This extension of the traditional view of insurance allows simple generalizations of classic results, has implications for policy advice, and may help guiding further research.

Developing a housing stock model for evaluating energy Performance: The case of Jordan

The housing stock is the long-lasting component of the settlement structure. The dwellings make up 72% of buildings and consume around 40% of the primary energy in Jordan. The government in Jordan aims to meet the goals of Paris Agreement by 2050 toward net zero carbon. Considering its importance, this study aims to provide an approach for developing a housing stock model for Jordan to evaluate energy consumption of the residential sector at national level, as a baseline for improving the energy performance of the entire housing stock.A bottom-up approach is used to generate models of the Jordanian housing stock based on available buildings datasets. The generated 21 archetype models are analysed and used to evaluate the energy consumption of the national housing stock. Two archetype models represent the highest contribution, more than 80%, of annual energy use from the entire housing stock. The uncertainty analysis figures out that the 8.3% discrepancy between the baseline results and the measured data, for the entire stock, can be explained by the expected variation in input data.The study can provide policymakers with valuable insights into the energy performance of Jordan’s housing stock and inform the development of effective policies and strategies to reduce energy consumption and promote sustainable development. For example, it can assist in identifying the most effective interventions for refurbishment of different archetypes in the current stock, and the improvements required in new-build dwellings and thereby facilitate the transition to a low-carbon building stock in Jordan.

ANALYSIS OF PARTNERSHIP DEVELOPMENT USING ARCHETYPE SYSTEM MODELING IN AN EFFORT TO INCREASE THE LEVERAGE OF TOUGH TEMPE UMKM BUSINESSES IN HUTAGODANG VILLAGE

This research aims to identify the internal environment as strengths and weaknesses and the external environment as opportunities and threats and then formulate alternative strategies that can be implemented regarding the next Tempe SME partnership program. This study examines the leverage of each system archetype model in UMKM partnerships and also uses an internal matrix (IFE) and an external matrix (EFE). From the EFAS and IFAS data calculations above, it can be seen that the company's current position is in quadrant I coordinates (1,946 ; 1,395) namely the expansion (growth) quadrant, which is expected to be able to maintain and sustain the strategy and be able to penetrate the market and develop products. Based on the results of the model simulation process with the Casual Leverage Loop System, it is hoped that there will be several relationship structures between elements that influence each other in UMKM and partners, namely partners from large companies that have industrial scope both in the tofu-tempeh trade chain area and even the soybean import industry. Meanwhile, looking at the results of the partnership structure which was built from three sides, namely as follows: Business information perspective, business competency perspective and business access perspective. 
 
 Keywords: Partnership, Archetype System, UMKM