Components Of Model Research Articles

Optimizing Inventory Management: A Comprehensive Analysis of Models Integrating Diverse Fuzzy Demand Functions

This review study provides a comprehensive analysis of the classification of inventory models, with a focus on incorporating various fuzzy demand functions. The incorporation of fuzzy sets theory within inventory models is highlighted as a significant advancement in the field. The study emphasizes the importance of efficiently locating pertinent publications on this topic, rendering it a valuable resource for individuals interested in exploring inventory models that incorporate fuzzy demand functions. There was a need for a systematic and complete examination of recent breakthroughs in fuzzy inventory management. Our objective was to provide an illuminating overview of the significant developments in this field and offer insights into the probable future directions of research. Our evaluation of various model components has unveiled new and underexplored territories that may warrant further exploration. Perhaps it would be prudent to consider the possibility of establishing simpler models or incorporating qualitative methods into existing models and initiating a discourse on this topic.

Pathophysiology of Pre-Eclampsia-Two Theories of the Development of the Disease.

Pre-eclampsia (PE) continues to be a leading cause of maternal and fetal mortality and morbidity. While substantial progress has been made in understanding the pathomechanisms of PE, the pathophysiology of the disease is still not fully understood. While the "two-stage model" of the development of PE is the most widely accepted theory, stating that the placenta is the main source of the disease, there are some other pathophysiological models of PE. Among these other theories, the one considering heart dysfunction as serving as the primary cause of PE seems to be gaining increasing prominence. In this review, we aim to elucidate these two divergent concepts concerning the development of PE. Despite some differences in their proposed pathomechanisms, both theories share vital pathophysiological elements in common. A central and critical component in both models is impaired placental perfusion, which appears to be a crucial phenomenon in PE. A comprehensive understanding of the different pathomechanisms involved in PE may be helpful in clinical practice, prompting a more individual approach to care of patients with PE.

Enhancing Customer Loyalty in the Cosmetic Industry: The Role of Store Location and Service Quality

In the midst of intense competition in the cosmetics industry, customer loyalty is an important key in maintaining the sustainability and existence of a company. This study aims to analyze the influence of store location and service quality on customer loyalty with customer satisfaction as a mediation variable. The investigation aims to understand the relationship between variables, the nature of mediation, and become a cornerstone in formulating practical implications for the cosmetic retail industry. The population in this study is all customers of the cosmetic industry in Badung Regency. The study obtained 150 valid samples. The data collection method is a survey method using questionnaires which was carried out offline and online through a link. The analysis technique used is an inferential analysis technique with Partial Least Square (PLS) to analyze relationships among latent constructs by modeling both the measurement and structural components of a theoretical model. The results showed that there is a significant relationship between store location and service quality to customer loyalty both directly and indirectly through customer satisfaction and this is a partial mediation, suggesting that there are other factors not included in the research model that could explain the relationship between store location and loyalty, as well as service quality and loyalty. The suggestion proposed to increase customer loyalty in cosmetic retail is to pay attention to the availability of parking lots, location convenience, and ease of accessing store locations. In addition, the quality of service can be improved through supporting facilities and infrastructure, the ability of marketers to welcome customers and provide a good value and experience to customers that can be done through trained employees.

Анализ процесса создания безопасной информационной системы предприятия

The article is an analysis of the key stages of the development of a secure enterprise information system. The focus is on highlighting the stages of determining information security objectives, risk assessment, vulnerability identification, as well as the process of making informed decisions in the context of information system security. The article provides detailed recommendations for creating reports on the completed risk analysis and the process of making informed decisions based on the results obtained. As part of the work, the analysis of the processes of compiling a matrix of the probability of the occurrence of threats, building a model of the violator and the stages of building a threat model was also carried out, providing an understanding of effective recommendations for assessing and managing the risks of information security of the enterprise and forecasting threats. The definitions of all the terms used and examples of the access matrix, the threat probability matrix are also given. The components of the intruder models and threat models are indicated. The most common errors in the process of creating a risk analysis report and presenting it to management are noted. The presented analysis serves as an important resource for information security specialists and business managers who are interested in building a reliable and secure information system.

Large-Scale Hydrogen Production Systems Using Marine Renewable Energies: State-of-the-Art

To achieve a more ecologically friendly energy transition by the year 2050 under the European “green” accord, hydrogen has recently gained significant scientific interest due to its efficiency as an energy carrier. This paper focuses on large-scale hydrogen production systems based on marine renewable-energy-based wind turbines and tidal turbines. The paper reviews the different technologies of hydrogen production using water electrolyzers, energy storage unit base hydrogen vectors, and fuel cells (FC). The focus is on large-scale hydrogen production systems using marine renewable energies. This study compares electrolyzers, energy storage units, and FC technologies, with the main factors considered being cost, sustainability, and efficiency. Furthermore, a review of aging models of electrolyzers and FCs based on electrical circuit models is drawn from the literature and presented, including characterization methods of the model components and the parameters extraction methods, using a dynamic current profile. In addition, industrial projects for producing hydrogen from renewable energies that have already been completed or are now in progress are examined. The paper is concluded through a summary of recent hydrogen production and energy storage advances, as well as some applications. Perspectives on enhancing the sustainability and efficiency of hydrogen production systems are also proposed and discussed. This paper provides a review of behavioral aging models of electrolyzers and FCs when integrated into hydrogen production systems, as this is crucial for their successful deployment in an ever-changing energy context. We also review the EU’s potential for renewable energy analysis. In summary, this study provides valuable information for research and industry stakeholders aiming to promote a sustainable and environmentally friendly energy transition.

Zika Virus Infection Alters the Circadian Clock Expression in Human Neuronal Monolayer and Neurosphere Cultures.

Rhythmic regulations are virtually described in all physiological processes, including central nervous system development and immunologic responses. Zika virus (ZIKV), a neurotropic arbovirus, has been recently linked to a series of birth defects and neurodevelopmental disorders. Given the well-characterized role of the intrinsic cellular circadian clock within neurogenesis, cellular metabolism, migration, and differentiation among other processes, this study aimed to characterize the influence of ZIKV infection in the circadian clock expression in human neuronal cells. For this, in vitro models of human-induced neuroprogenitor cells (hiNPCs) and neuroblastoma cell line SH-SY5Y, cultured as monolayer and neurospheres, were infected by ZIKV, followed by RNA-Seq and RT-qPCR investigation, respectively. Targeted circadian clock components presented mRNA oscillations only after exogenous synchronizing stimuli (Forskolin) in SH-SY5Y monolayer culture. Interestingly, when these cells were grown as 3D-arranged neurospheres, an intrinsic oscillatory expression pattern was observed for some core clock components without any exogenous stimulation. The ZIKV infection significantly disturbed the mRNA expression pattern of core clock components in both neuroblastoma cell culture models, which was also observed in hiNPCs infected with different strains of ZIKV. The ZIKV-mediated desynchronization of the circadian clock expression in human cells might further contribute to the virus impairment of neuronal metabolism and function observed in adults and ZIKV-induced congenital syndrome. In vitro models of Zika virus (ZIKV) neuronal infection. Human neuroprogenitor cells were cultured as monolayer and neurospheres and infected by ZIKV. Monolayer-cultured cells received forskolin (FSK) as a coupling factor for the circadian clock rhythmicity, while 3D-arranged neurospheres showed an intrinsic oscillatory pattern in the circadian clock expression. The ZIKV infection affected the mRNA expression pattern of core clock components in both cell culture models. The ZIKV-mediated desynchronization of the circadian clock machinery might contribute to the impairment of neuronal metabolism and function observed in both adults (e.g., Guillain-Barré syndrome) and ZIKV-induced congenital syndrome (microcephaly). The graphical abstract has beencreated with Canva at the canva.com website.

The Effectiveness of The Tack Learning Model Using Logic Model Analysis To Enhance Self-Directed Learning

This research aims to evaluate the effectiveness of the TACK (Technological, Andragogical, Content Knowledge) learning model combined with Logic Model analysis in enhancing students' self-directed learning in the Department of Non-formal Education (PNF) at Padang State University. This research employs a quantitative experimental research approach, measuring the difference between pre-test and post-test scores to assess the impact of the TACK learning model on student self-directed learning. Data were collected through questionnaires, observations of the teaching implementation, and documentation. Logic Model analysis is utilized to map the components of the TACK model and evaluate the expected outcomes. The research findings indicate a significant improvement in student self-directed learning, as evidenced by the increase in post-test scores compared to pre-test scores. Statistical analysis supports the hypothesis that the TACK model effectively enhances students' self-directed learning in the Department of Non-formal Education (PNF). This research highlights the potential of the TACK learning model combined with Logic Model analysis as a valuable strategy for enhancing the quality of learning within university environments. Its application offers a promising approach to improving self-directed learning, which is crucial for enhancing learning outcomes. The findings of this research have implications for curriculum design and faculty training in educational institutions. Furthermore, this research contributes to the existing knowledge base on effective teaching methods for students, providing valuable insights for future learning practices.

Emotional Intelligence in the Digital Age: Harnessing AI for Students’ Inner Development

Artificial Intelligence (AI) presents both opportunities and challenges in fostering emotional intelligence (EI) in students. EI, vital for personal, academic, and professional success, involves recognising and regulating emotions in oneself and others. This opinion piece explores AI's potential and challenges in enhancing EI. AI's role in higher education and its various applications, including assessment and prediction, are discussed. The article also addresses the recent proliferation of Generative AI (GenAI) tools, which generate diverse content types and have sparked debates in education. AI's potential in developing each component of Goleman's EI model (1998) is examined, focusing on empathy, social skills, self-awareness, self-regulation, and motivation. AI-driven applications, such as those aiding individuals in recognising and managing emotions, practising empathy, and tailoring educational content to foster motivation, are highlighted. The piece also acknowledges concerns, such as ethical and privacy considerations in data collection, potential biases in AI algorithms, and the risk of overreliance on AI. In conclusion, we advocate for a balanced approach that combines AI tools with traditional teaching methods and human interactions to cultivate EI effectively whilst managing associated risks.

Base shape generation and optimization for multi-axis hybrid additive manufacturing

Hybrid additive manufacturing (HAM) processes combine the advantages of both additive and non-AM processing to achieve an improvement on quality, cost, and a good quality-cost balance. The non-additive manufacturing process is able to build the physical component of a computer-aided design model from zero or an existing relatively simple subvolume, called base shape in this paper. Hence, if the processing start point is an existing subvolume, how to determine an optimal base shape to save printing time, avoid manufacturing constraints and ensure component quality is an open question in the process planning. Nevertheless, this topic has rarely been investigated. Therefore, in this paper, we propose an optimization method using model skeleton-based decomposition and evolutionary computation. A set of generic evaluation criteria are defined for alternative evaluation. We also present two case studies in this paper for validating the proposed method and conclude that sequential HAM processes have a wide application potential.

“Prepared to Face the Unexpected”: Dynamic Enterprises in Italy as a Model of Resilience

Businesses that demonstrate organizational flexibility, characterized by dynamic problem-solving skills, in-house production processes, and a robust human capital, appear to be successful and resilient in times of crisis. Drawing on my fieldwork in medium-sized manufacturing companies in Emilia, Northern Italy, from June to November 2021, I investigate ideas and characteristics that shed light on good practices, key ingredients of the success of such companies, and possible future models of resilience. I employ participant observation and provide evidence taken from conversations or episodes observed, especially in one of the companies. Although greater structuring is often sought and considered the resolution of many existing problems, non-structuring is, at the same time, convenient in many circumstances. People are essential components in this dynamic organizational model, and their commitment in the organization goes far beyond contractual obligations. Their motivation stems from personal satisfaction as well as from a sense of responsibility and strong personal commitment.

The USGS 2023 Conterminous U.S. Time-Independent Earthquake Rupture Forecast

ABSTRACT We present the 2023 U.S. Geological Survey time-independent earthquake rupture forecast for the conterminous United States, which gives authoritative estimates of the magnitude, location, and time-averaged frequency of potentially damaging earthquakes throughout the region. In addition to updating virtually all model components, a major focus has been to provide a better representation of epistemic uncertainties. For example, we have improved the representation of multifault ruptures, both in terms of allowing more and less fault connectivity than in the previous models, and in sweeping over a broader range of viable models. An unprecedented level of diagnostic information has been provided for assessing the model, and the development was overseen by a 19-member participatory review panel. Although we believe the new model embodies significant improvements and represents the best available science, we also discuss potential model limitations, including the applicability of logic tree branch weights with respect different types of hazard and risk metrics. Future improvements are also discussed, with deformation model enhancements being particularly worthy of pursuit, as well as better representation of sampling errors in the gridded seismicity components. We also plan to add time-dependent components, and assess implications with a wider range of hazard and risk metrics.

Planning, Reflecting and Evaluating Participatory Health Research: Adaptation and Piloting of the "Community Based Participatory Research (CBPR) Model" for German-Speaking Countries

Participatory research approaches are becoming increasingly established in both academic and practice settings. The participation of people with varied lived experiences and professional backgrounds can help academia and practitioners to learn from and empower each other. In the exchange of different perspectives, needs and ideas, it is possible to plan, reflect on, implement and evaluate projects in the health sector jointly and with attention to the needs of all stakeholders. The Community Based Participatory Research (CBPR) Model is often used internationally to guide participatory processes. However, an accessible translation has been lacking for application in German-speaking countries. To address this problem, a multidisciplinary working group composed of academic researchers and practitioners came together within the German-speaking Participatory Health Research Network (PartNet) to adapt the CBPR model for German-speaking countries and to test the adapted version with potential users. The adaptation was more than a translation, as the four model components "Contexts", "Partnership Processes", "Intervention & Research" and "Outcomes" as well as their associated contents are not directly applicable to the socio-structural and political contexts of the German-speaking countries. This article describes the process of adapting the model. This includes how translation drafts for German-speaking countries were first discussed in detail and then agreed upon as an initial template for testing in practice. Subsequently, various users reflected on the German-language model based on their experience of testing it in different projects, focusing on accuracy, comprehensibility and applicability. At the same time, the model was presented and discussed at conferences. The diverse feedback was incorporated into further revisions of the model. The result is a German-language version called "Modell für partizipative Gesundheitsforschung (PGF-Modell)".

The 2022 Aotearoa New Zealand National Seismic Hazard Model: Process, Overview, and Results

Abstract The 2022 revision of Aotearoa New Zealand National Seismic Hazard Model (NZ NSHM 2022) has involved significant revision of all datasets and model components. In this article, we present a subset of many results from the model as well as an overview of the governance, scientific, and review processes followed by the NZ NSHM team. The calculated hazard from the NZ NSHM 2022 has increased for most of New Zealand when compared with the previous models. The NZ NSHM 2022 models and results are available online.

Innovative Approaches and Information Technologies in Organizational Support of Educational Activities

The aim of the article is to develop a new approach to organizing educational activities in higher education institutions that aligns with the goals and principles of the Bologna Process, specifically aiming to promote flexibility, mobility, and the improvement of the quality of higher education in accordance with the standards adopted in the European Higher Education Area. To address the set tasks, a complex of research approaches and methods was employed: the literature review method – to investigate literary sources and analyze previous studies on the use of business simulations, particularly in higher education, and their impact on the educational process; the abstraction method – to identify components of modern business simulations; "Lean Canvas Analysis" – to analyze key components of the IT application's business model. The scientific novelty of the work lies in the development of a concept for establishing active collaboration between higher education institutions and enterprises in the education process of learners using information technologies. Conclusions. The research highlighted the importance of transforming educational business simulations from a simple element of methodological support into a key tool for organizational support in higher education institutions. Considering these aspects, further research and development of business simulations in educational programs can significantly improve the quality of preparing learners for professional activities. Overall, the use of business simulations in education can contribute to more effectively implementing the principles of the Bologna Process, fostering the qualitative preparation of learners and their readiness for the challenges of the modern job market. The innovative approach proposed in the paper for forming an individual educational trajectory based on stakeholder proposals provides learners with the opportunity to acquire practical skills that meet real workplace needs. It also ensures that enterprises have access to highly qualified professionals with experience in their field. Keywords: organizational support of higher education institutions, informational support of higher education institutions, quality of education, Bologna Process.

APPLYING THE THERAPEUTIC LANDSCAPE MODEL TO IRISH MEN’S SHEDS

Abstract Gesler’s (1993) introduction of the therapeutic landscape model considers whether environments positively contribute to the wellbeing of users of the space. The model includes both inner/meaning components that consist of 1) natural setting, 2) built environment, 3) sense of place, 4) symbolic landscape and 5) everyday activities and outer/society components of 1) beliefs and philosophies, 2) social relations/inequality and 3) territoriality. The purpose of this study was to explore how environments that older adults are engaged in (e.g., Irish Men’s Sheds) exemplify characteristics found in Gesler’s therapeutic landscape model. Interviews with Men’s Sheds participants aged 65+ (N = 37) were conducted in County Limerick, Ireland. After transcription, Braun and Clarke’s (2020) intuitive 6-step process for thematic analysis was used to interpret the data. Interviewee transcripts revealed that the social relations/inequality component of the therapeutic landscape model was most evident in the narratives. The men explained that it was important to create an inclusive space for all men to feel welcome and valued. For example, a participant said, “Some [members] are living on their own, maybe they’re lonely and they feel kind of unwanted…so, the shed has made a difference to them.” Another participant commented, “Every time someone walks into the gate, you’re enthusiastic that they’re here and you try to welcome them, but then you see what they have to offer. Everybody has something.” Future research should investigate how other environments that older adults engage in, embody components of Gesler’s therapeutic landscape model.

DEVELOPMENT AND EXPERIMENTAL REPLICATION OF THE MODEL OF PARTIAL TRACHEAL STENOSIS IN YOUNG SEXUALLY IMMATURE WHITE RATS

This work is devoted to the development of two models of experimental replication of stenosis in the upper part of the trachea with different degrees of compression of this organ in sexually immature (one-month-old) white Wistar rats. Considering the different degrees of laryngomalacia in newborns, we developed two models: with a lower (20%) and higher (30%) degree of airway obstruction. In the first version of modeling, this was achieved by applying the ligature at the level between 1 and 2, or 2 and 3 cartilaginous semi-rings of the trachea, in the second – by applying it directly to the 2 cartilaginous semi-ring of the trachea. Both models were performed to study the state of the organism in conditions of hypoxic hypoxia in laboratory animals.
 The developed modeling methods differ from each other not only in the place of application of the compressing ligature, but also in the mechanism of compression development. In the case of applying a ligature to the intercartilaginous ligaments (20% stenosis), soft tissues are compressed and both semi-rings of the trachea are brought together. In the second variant of modeling, the pathophysiological mechanism of stenosis consists not only in the compression of the cartilaginous semi-ring of the trachea, but also in the process of invagination of the dorsal, i.e., elastic part of the trachea into the lumen of this hollow organ. As a result, a more intense variant of tracheal stenosis in experimental animals is achieved. Another important component of the developed models is the possibility at different stages of the experiment to eliminate the compressive effect of the ligature on the trachea and to study the state of various organs and tissues of animals in the early or delayed post-hypoxic periods. This leads to a significant increase in the value or efficiency of conducting this kind of experiments, taking into account the fact that hypoxic and posthypoxic periods can be studied on the same experimental animal. Both exotracheal modeling methods are fundamentally different from the endotracheal variant of experimentally reproducing stenosis. With the latter, pathological structural and functional disorders of the cells of the mucous membrane, the connective apparatus of the trachea and smooth muscle elements, the development of inflammation, and the progression of irreversible changes in the cellular and organ structures of the trachea are observed. In addition, simulation of the specified variant of stenosis requires the use of expensive equipment – a laryngoscope and some other modern technologies. Both variants of exotracheal modeling of tracheal stenosis, proposed by us, are devoid of all these shortcomings. At the same time, they enable to achieve the same degree of stenosis of this organ in animals as with the endotracheal variant.

A network approach to the investigation of childhood irritability: probing frustration using social stimuli.

Self-regulation in early childhood develops within a social context. Variations in such development can be attributed to inter-individual behavioral differences, which can be captured both as facets of temperament and across a normal:abnormal dimensional spectrum. With increasing emphasis on irritability as a robust early-life transdiagnostic indicator of broad psychopathological risk, linkage to neural mechanisms is imperative. Currently, there is inconsistency in the identification of neural circuits that underlie irritability in children, especially in social contexts. This study aimed to address this gap by utilizing a functional magnetic resonance imaging (fMRI) paradigm to investigate pediatric anger/frustration using social stimuli. Seventy-three children (M = 6 years, SD = 0.565) were recruited from a larger longitudinal study on irritability development. Caregivers completed questionnaires assessing irritable temperament and clinical symptoms of irritability. Children participated in a frustration task during fMRI scanning that was designed to induce frustration through loss of a desired prize to an animated character. Data were analyzed using both general linear modeling (GLM) and independent components analysis (ICA) and examined from the temperament and clinical perspectives. ICA results uncovered an overarching network structure above and beyond what was revealed by traditional GLM analyses. Results showed that greater temperamental irritability was associated with significantly diminished spatial extent of activation and low-frequency power in a network comprised of the posterior superior temporal sulcus (pSTS) and the precuneus (p < .05, FDR-corrected). However, greater severity along the spectrum of clinical expression of irritability was associated with significantly increased extent and intensity of spatial activation as well as low- and high-frequency neural signal power in the right caudate (p < .05, FDR-corrected). Our findings point to specific neural circuitry underlying pediatric irritability in the context of frustration using social stimuli. Results suggest that a deliberate focus on the construction of network-based neurodevelopmental profiles and social interaction along the normal:abnormal irritability spectrum is warranted to further identify comprehensive transdiagnostic substrates of the irritability.

A comprehensive approach for calibrating anthropogenic effects on atmosphere degradation

Climate change is the most pervasive threat to the ecosystem, species survival, global economy, and urban lives. Global citizens and governments have perceived the alleviation of harmful anthropogenic effects as an urgent priority. However, conflicting interests between interest groups preclude achieving a common goal. The convincing solutions fundamentally proceed from the precise calibration. Considerable efforts have established calibration models where population density and road transportation have been investigated as major proxies. The model components generally involve spatiotemporal characteristics, but the consideration of time-varying, spatially correlated attributes is insufficient. This article presents a pilot approach in a comprehensive manner; it includes a spatial feature transformation procedure called Kriging for spatial consistency and applying model-fitting and explanation techniques. In the case study, the regression models fit by OLS, Ridge, and Lasso showed analogous coefficients for SO2, NO2, CO, O3, PM2.5, and PM10 emissions, whereas the magnitudes and directions extracted by classification techniques such as ANN and XGBoost vary with emission intensity. This quantitative interpretation based on coefficients or weights could be incompatible with qualitative aspects. As an alternative, this article applied SHAP technique to XGBoost so that the discovery of multidirectional relationships complemented this incongruity. In conclusion, the model design needs to encompass the whole process from recognizing data properties to eliciting high accuracy and scientific proof for efficacious policies and schemes. Environmental action building on valid models would promise to alleviate climate risks and sustain lives.

Models of strategic management in SMEs in the period of the COVID-19 pandemic in Metropolitan Lima

Purpose: The purpose of this research was to understand the adaptation of strategic management models by SMEs in Metropolitan Lima during the period of the COVID-19 pandemic. Theoretical Framework: Organizations must be agile and flexible to survive in a constantly changing business environment. During the pandemic, SMEs were forced to rethink their strategic management models, adopting a more authentic and adaptive approach. The ability to rethink strategies, diversify products and services, and embrace digitalization became crucial. Strategic management, an essential component of management models, encompasses the formulation, implementation, and evaluation of key decisions for organizations to achieve their objectives in a competitive and dynamic environment. This involves looking both internally at the organization's structure and operations and externally, evaluating opportunities and threats. Strategic management is how organizations not only face challenges, but also take advantage of emerging opportunities. Methodology: It was framed in the interpretative paradigm and supported by the hermeneutic methodology. Results and Discussion: The fundamental findings of the study relate to four primary categories and identify emerging facets within the expressions of social actors. This study highlights how, in times of crisis, resilience and creativity emerge as crucial qualities for success. It also highlights that adaptability and re-evaluation of previous approaches become essential for navigating turbulent terrain. Practical and social implication: The importance of understanding how strategies evolved to sustain the operation and generate valuable knowledge is highlighted. Originality and value: Originality and value lie in the depth of contextual analysis and the identification of concrete strategies that could inspire other companies in similar situations.

Modelling individual aesthetic judgements over time.

Listening to music, watching a sunset-many sensory experiences are valuable to us, to a degree that differs significantly between individuals, and within an individual over time. We have theorized (Brielmann & Dayan 2022 Psychol. Rev. 129, 1319-1337 (doi:10.1037/rev0000337))) that these idiosyncratic values derive from the task of using experiences to tune the sensory-cognitive system to current and likely future input. We tested the theory using participants' (n = 59) ratings of a set of dog images (n = 55) created using the NeuralCrossbreed morphing algorithm. A full realization of our model that uses feature representations extracted from image-recognizing deep neural nets (e.g. VGG-16) is able to capture liking judgements on a trial-by-trial basis (median r = 0.65), outperforming predictions based on population averages (median r = 0.01). Furthermore, the model's learning component allows it to explain image sequence dependent rating changes, capturing on average 17% more variance in the ratings for the true trial order than for simulated random trial orders. This validation of our theory is the first step towards a comprehensive treatment of individual differences in evaluation. This article is part of the theme issue 'Art, aesthetics and predictive processing: theoretical and empirical perspectives'.