Modular Program Research Articles

Pearson Correlation and Chi-Squared Methods Applied to the Sensitivity and Uncertainty Analysis of Hydrogen Generation During a Boiling Water Reactor STSBO Using MAAP5 and AZTUSIA

Abstract After the nuclear accident at the Fukushima Daiichi nuclear power plant, hydrogen generation has resurfaced as a key issue, with respect to its quantification in the simulation of severe accidents (SAs), because of the potential risk of deflagration or detonation, which would compromise the integrity of the plant facilities. Severe accident simulation codes may have different models to predict cladding oxidation rates and the consequent hydrogen generation. Thus, sensitivity and uncertainty analysis can be applied to determine which input variables of the code have a significant impact in the implemented models, and consequently on the overall predicted values of key figures of merit. In this work, the generation of hydrogen in the reactor core during a short-term station blackout (STSBO) is studied as a figure of merit for a boiling water reactor (BWR). The scope of the analysis is until the failure of the reactor pressure vessel (RPV). This study shows a sensitivity and uncertainty analysis through the complementary calculations of two methods: Chi-squared parameter and Pearson simple correlation coefficient (PSCC). The severe accident simulation code was MAAP 5.0.3 (Modular Accident Analysis Program, EPRI, USA) and the AZTUSIA code (AZtlan Tool for Uncertainty and SensItivity Analysis, Mexico) was used as the statistical tool for the sensitivity and uncertainty analysis. Ten uncertain parameters were chosen, of which two are MAAP models options, and the values were generated via the simple random Monte Carlo technique. The results show that the Chi-squared parameter in conjunction with correlation coefficients provides a more comprehensive understanding of the impact of both quantitative and qualitative input variables on the figures of merit.

Prediction of small-scale leak flow rate in LOCA situations using bidirectional GRU

It is difficult to detect a small-scale leakage in a nuclear power plant (NPP) quickly and take appropriate action. Delaying these procedures can have adverse effects on NPPs. In this paper, we propose leak flow rate prediction using the bidirectional gated recurrent unit (Bi-GRU) method to detect leakage quickly and accurately in small-scale leakage situations because large-scale leak rates are known to be predicted accurately. The data were acquired by simulating small loss-of-coolant accidents (LOCA) or small-scale leakage situations using the modular accident analysis program (MAAP) code. In addition, to improve prediction performance, data were collected by distinguishing the break sizes in more detail. In addition, the prediction accuracy was improved by performing both LOCA diagnosis and leak flow rate prediction in small LOCA situations. The prediction model developed using the Bi-GRU showed a superior prediction performance compared with other artificial intelligence methods. Accordingly, the accurate and effective prediction model for small-scale leakage situations proposed herein is expected to support operators in decision-making and taking actions.

From guided self-help to comprehensive ED treatment

IntroductionThe incidence of eating disorders is increasing in Hungary and Central-Eastern Europe. The number of complex/severe cases is also increasing. Accordingly, several new unmet needs of the users and their relatives appear in the clinical care.ObjectivesAs a possible response to these unmet needs, we have introduced a multifaceted care model for eating disorders. To facilitate easily accessible yet effective care close to home, a support programme with an online guided self-help tool and regular consultations with first responder psychiatrists or clinical psychologists has been introduced. For non (or partial) responders, a multi-faceted modular treatment programme has been developed with an individualised combination of different therapeutic approaches, including family therapy, dialectical behaviour therapy (DBT) specific to binge eating disorder and bulimia, CBT and the use of virtual reality as an adjunct treatment. The most severe cases are referred for (also multifaceted) inpatient treatment. In terms of research, we want to focus on the key issues for rapid, cost-effective treatment. Firstly, we want to develop an individual profiling system at the start of therapy to assess which individual combination of modules can produce a rapid therapeutic response. Secondly, we want to identify the active gamechanger elements of therapy that are associated with the greatest change in symptoms.MethodsPatients complete the following questionnaires:-in the guided self-help group: Eating disoreder inventory, (EDI-I), McMaster Family Assessment Device (FAD), Eastin Disorder Diagnostic Scale (EDDS), Eating Behavioral Severity Scale, Eating Disorders Symptom Impact Scale (EDSIS-S)- in DBT groups: Eating Disorder Examination Questionnarie (EDE-Q), Three Factor Eating Questionnaire-R21, Rosenberg Self-Esteem Scale, Patient Health Questionnaire-(PHQ-9), Cognitive Emotion Regulation Questionnaire (CERQ)- in individual therapies: Mini International Neuropsychiatric Interview (MINI) and Structured Clinical Interview for DSM 5- Alternative Model for Personality Disorders (SCIP-5-AMPD), EDI-I., Mentalization Questionnaire (MZQ), Dissociation Questionnaire (DIS-Q), Symptom Checklist-90 (SCL-90), (PHQ-9), Childhood Trauma Questionnaire (CTQ) and Young Parenting Inventory (YPI).ResultsPatient recruitment and therapies are currently underway, the first preliminary results are expected in the spring period.ConclusionsIn order to provide individualized care more effectively, it is important to identify the factors that determine which therapeutic modalities work best for the patient.Disclosure of InterestNone Declared

플립러닝 기반 맞춤형 모듈식 EPL 프로그래밍 수업에서 온라인 소통플랫폼 적용 효과

This study aimed to verify the effectiveness of an online communication platform in a flipped learning-based, customized modular EPL programming course. To this end, a flipped learning-based EPL programming course model utilizing an online communication platform was developed, along with preparatory EPL learning module video lectures and materials. Following the application of this model to actual classes, its effectiveness was assessed through various methods. The research findings are summarized as follows: First, the experimental group showed a positive perception of programming education in the programming education perception test, with the applied teaching method contributing to this positive perception. Learners exhibited positive changes in their sense of achievement, value recognition, and continued interest in programming. Moreover, they perceived the effectiveness of flipped learning and online communication positively. Second, in the programming difficulty perception test, the teaching method applied to the experimental group did not significantly influence the perception of difficulty in programming. Learners reported difficulties in various aspects of programming (such as problem analysis, abstraction, coding, and debugging), which appeared to correlate with the frequency of practical exercises and the level of self-directed activities. Third, in the evaluation of the project assignments, the experimental group scored higher than the comparison group, indicating that the teaching method applied to the experimental group positively influenced learners' programming capabilities. The project assignments, involving practical exercises, played an essential role in enhancing creativity and problem-solving skills. Fourth, an analysis of students' reflections indicated that flipped learning increased self-directed learning and responsibility. The online communication platform motivated learning, enhanced participation, and promoted interaction and collaboration. However, some students pointed out that online communication tended to become overly formulaic and mechanical, potentially undermining the authenticity and significance of communication.

The ERUS course on robot-assisted kidney transplantation

PurposeRobot-assisted kidney transplantation (RAKT) is being increasingly performed at selected referral institutions worldwide. Yet, surgical training in RAKT is still unstructured and not grounded into formal credentialing courses including simulation, lab facilities, and modular training with animal models. As such, developing standardized, modular training programs is warranted to provide surgeons with the RAKT-specific skillset needed for a “safe” learning curve.MethodsThe 3-day course on RAKT developed at the EAU Skills Center in Orsi Academy was designed as a standardized, modular, step-by-step approach aiming to provide theoretical and practical skills. The course is held by expert proctors with extensive experience in RAKT. To maximize the course’s usefulness, a solid knowledge of robotics and transplantation is desirable for participants.ResultsFrom January 2016 to July 2023, 87 surgeons from 23 countries (of which 36% from extra-European countries) participated in the RAKT course performed at the EAU Skills Center in Orsi Academy. Of these, 58/87 (67%) were urologists, while 27/87 (31%) were general surgeons and 2/87 (2%) were vascular surgeons. To date, 18 participants (20.6%) are actively involved in RAKT programs at institutions included in the European Association of Urology (EAU) Robotic Urology Section (ERUS)–RAKT network.ConclusionLeveraging the potential of simulation, wet-lab training, live porcine models, and experienced proctors, the RAKT course performed at the EAU Skills Center in Orsi Academy represents the first structured teaching effort aiming to offer surgeons a full immersion in RAKT to train the core technical skills.

Automating External Flat File Integration in SAP BW/4HANA: A Cost-Effective ABAP Approach

With SAP BW/4HANA as their enterprise data warehouse, organizations face challenges loading external data like CSV files into the system efficiently. Manual methods using GUIs are slow, error-prone, and lack scalability. This paper presents an automation solution using custom ABAP programming and standard BW/4HANA capabilities like process chains and advanced datastore objects (ADSOs) to orchestrate and load files. An ABAP program handles file discovery, logging, triggering process chains, monitoring status, and error handling. Benefits seen in production deployments include reduced load times and manual efforts, and improved data quality. While requiring upfront development effort, this approach provides a flexible, cost-effective data integration solution leveraging SAP's native tools. Key technical aspects include modular program design, use of SAP standard APIs, logging/status tracking, and BW process chain integration. Limitations are scalability for large volumes and complex transformations. The solution offers organizations an automation template for their BW/4HANA loading needs using in-house resources.

The effectiveness of a child and parent-oriented modular education program on the prevention of child sexual abuse knowledge and parental views: A mixed method study

This study evaluates the effectiveness of a modular training program on the prevention of child sexual abuse (CSA) on the level of sexual abuse knowledge of children and their parents and the views of parents. The study was conducted in a sequential explanatory mixed-methods design. In the quantitative part of the research, a randomized quasi-experimental method with a pre-test/post-test, and a control group was used, and in the qualitative phase, the descriptive phenomenological method was used. The quantitative phase was conducted with 122 children and 122 parents: those who participated in the modular training (intervention group) and those who did not (control group). The qualitative part of the study was completed with 15 parents. The modular training program was applied by the researchers to the children in the intervention group and their parents in sessions on different days. Children and their parents were measured 4 times in total: pre-test before modular training, post-test after training, 15 days after training, and 1-month follow-up test. The sexual abuse knowledge levels of children who received modular training were higher than those who did not (post-test, follow-up 1, and follow-up 2). Post-test scores related to child abuse knowledge and attitude levels of parents were higher in the intervention group (21.45) than in the control group (10.37). Qualitative findings were grouped under three main themes: “CSA risk factors”, “insecurity”, and “prevention methods”. The training program is effective in increasing the knowledge of children and parents.

Failure simulation of nuclear pressure vessel under LBLOCA scenarios

This paper presents the finite element deformation and failure simulation of a typical Korean high-power reactor vessel under a severe accident characterized by large break loss of coolant (LBLOCA) with in-vessel retention of molten corium through external reactor vessel cooling (IVR-ERVC) conditions. Temperature distributions calculated using Modular Accident Analysis Program Version 5 (MAAP5) as thermal boundary conditions were used, and ABAQUS thermal and structural analyses were performed. After full ablation, the temperature of the inner surface in the thinnest section remained high (920 °C), but the stress remained relatively low (less than 6 MPa). At the outer surface, the stress was as high as 250 MPa; however, the resulting plastic strain was small owing to the low temperature of 200 °C. Variations in stress, inelastic strain, and temperature with time in the thinnest section suggest that the plastic and creep strains are saturated owing to stress relaxation, resulting in low cumulative damage. Thus, the lower head of the vessel can maintain its structural integrity under LBLOCA with IVR-ERVC conditions. The sensitivity analysis of internal pressure indicates the occurrence of failure in the thinnest section at an internal pressure >9.6 MPa via local necking followed by failure due to high stresses.

The use of problem-based modular educational technology in institutions of higher and secondary vocational education

Introduction. In modern conditions, new requirements are being imposed on the organization of the educational process and the effectiveness of vocational education. At the same time, the quality of graduate training is of paramount importance.Purpose setting. Therefore, the introduction of new technologies into the educational process is becoming increasingly relevant, which should equip students with a methodology of cognition and creative approaches to solving practical problems. One of the most effective and popular educational services on the market is the problem-modular educational technology.Methodology and methods of the study. The basics of modular training are revealed by T. A. Kaplunovich and P. Y. Tsyavichene. The understanding of problem-modular learning is interpreted as a procedure for selecting and limiting the range of the most significant problematic issues in the discipline under study without violating the consistency of the presentation of the material. The entire course is divided into modules, the boundaries of which are determined in accordance with the educational and pedagogical tasks, the amount of theoretical knowledge and practical skills necessary for students to successfully solve professional tasks. The development of approaches to the construction and application of modular programs is considered in detail in the studies of V. M. Gareev, E. M. Durko, G. V. Lavrentiev, N. B. Lavrentieva.Results. Currently, the vocational education system is faced with the tasks of activating and developing students» cognitive abilities, differentiating and individualizing the learning process in accordance with the required levels of training and formation of specialists with stable motivations for self-improvement and self-education throughout life.Conclusions. The problem-modular learning technology allows implementing a personality-oriented approach to learning, makes it possible to activate the cognitive activity of students, form their self-education skills and bring learning closer to solving professional tasks.

Modular 3D shape programming method for multiple substrates

Modular 3D shape programming method for multiple substrates

Soundly Handling Linearity

We propose a novel approach to soundly combining linear types with multi-shot effect handlers. circear type systems statically ensure that resources such as file handles and communication channels are used exactly once. Effect handlers provide a rich modular programming abstraction for implementing features ranging from exceptions to concurrency to backtracking. Whereas conventional linear type systems bake in the assumption that continuations are invoked exactly once, effect handlers allow continuations to be discarded (e.g. for exceptions) or invoked more than once (e.g. for backtracking). This mismatch leads to soundness bugs in existing systems such as the programming language Links, which combines linearity (for session types) with effect handlers. We introduce control-flow linearity as a means to ensure that continuations are used in accordance with the linearity of any resources they capture, ruling out such soundness bugs. We formalise the notion of control-flow linearity in a System F-style core calculus F eff ∘ equipped with linear types, an effect type system, and effect handlers. We define a linearity-aware semantics in order to formally prove that F eff ∘ preserves the integrity of linear values in the sense that no linear value is discarded or duplicated. In order to show that control-flow linearity can be made practical, we adapt circks based on the design of F eff ∘ , in doing so fixing a long-standing soundness bug. Finally, to better expose the potential of control-flow linearity, we define an ML-style core calculus Q eff ∘ , based on qualified types, which requires no programmer provided annotations, and instead relies entirely on type inference to infer control-flow linearity. Both linearity and effects are captured by qualified types. Q eff ∘ overcomes a number of practical limitations of F eff ∘ , supporting abstraction over linearity, linearity dependencies between type variables, and a much more fine-grained notion of control-flow linearity.

Fully Composable and Adequate Verified Compilation with Direct Refinements between Open Modules

Verified compilation of open modules (i.e., modules whose functionality depends on other modules) provides a foundation for end-to-end verification of modular programs ubiquitous in contemporary software. However, despite intensive investigation in this topic for decades,the proposed approaches are still difficult to use in practice as they rely on assumptions about the internal working of compilers which make it difficult for external users to apply the verification results. We propose an approach to verified compositional compilation without such assumptions in the setting of verifying compilation of heterogeneous modules written in first-order languages supporting global memory and pointers. Our approach is based on the memory model of CompCert and a new discovery that a Kripke relation with a notion of memory protection can serve as a uniform and composable semantic interface for the compiler passes. By absorbing the rely-guarantee conditions on memory evolution for all compiler passes into this Kripke Memory Relation and by piggybacking requirements on compiler optimizations onto it, we get compositional correctness theorems for realistic optimizing compilers as refinements that directly relate native semantics of open modules and that are ignorant of intermediate compilation processes. Such direct refinements support all the compositionality and adequacy properties essential for verified compilation of open modules. We have applied this approach to the full compilation chain of CompCert with its Clight source language and demonstrated that our compiler correctness theorem is open to composition and intuitive to use with reduced verification complexity through end-to-end verification of non-trivial heterogeneous modules that may freely invoke each other (e.g.,mutually recursively).

A modular cyber security training programme for the maritime domain

The global maritime industry is continuing the rapid digitization of systems and dependency on advancing technology, in a trend akin to other industrial domains. One of the main issues that this integration has brought is an increased vulnerability to a growing number of cyber threats. While several security measures are being implemented to prevent or respond to cyber attacks, the human element is still one of the main weaknesses. Many of today’s cyber attacks take advantage of human personnel’s lack of awareness, which makes cyber security awareness and training activities of critical importance. Unfortunately, current research is still limited in its offerings for cyber security training specific to maritime personnel. Moreover, such training programmes for the professionals should be developed role-based in accordance with the suggestions of many credited maritime organizations. For this reason, we developed a modular cyber security training programme for the maritime domain called Maritime Cyber Security (MarCy) by implementing Critical Events Model (CEM). Then, we evaluated the MarCy programme by utilizing the Delphi technique with the participation of 19 experts from academia and industry. In this study, we offer cyber security training for seafarers and office employees in shipping companies. We proposed eleven elective modules to improve the knowledge, skills, and attitude of learners against cyber risks. The MarCy programme can be implemented by universities, shipping companies, training institutes, and governmental organizations for maritime cyber security training purposes.

Does Entrepreneurship Education ensure Entrepreneurial Competencies? -An Omani Higher Education Perspective of Faculty Professional Development Program

In the scenario of Omani Higher Education, populating the eco-system with ‘Certified Entrepreneurship Educators as trainers’, along with allied organizations that enable entrepreneurship in Oman is a necessity that needs to be addressed. A ‘Certified Entrepreneurship Educators’ program is a professional development workshop that had precisely been conceptualized for this reason in Oman and has served the purpose to this end. Specifically, the program had been proposed to raise awareness about innovation, including new scientific theories and newer pedagogies for benchmarking as well as expanding the knowledge to learn, “Teaching Entrepreneurship’ as a subject-area to teachers at varied skills levels. Furthermore, the content and concepts of the program had focused on enhancing the innovation value chain to improve the perspectives of the learners from not just being “small businesses” but aspire themselves to be “creative enterprises.” The Information that was captured in the process of delivery of this modular faculty development program was the first step to the development of a set of competencies. These competencies when tested can imbibe trainable skill set for a result-oriented and enhanced learning outcome-based faculty development program. The professional development program was a customization of an international experts’ modular approach to cater to needs. of the local environment. Capacity-Building on Competencies was the value expected to be captured and this paper reviews some competence development frameworks and their implications for stakeholders in the entrepreneurship ecosystem.

Analysis of the External and Internal Load in Wheelchair Basketball Considering the Game Situation

The systematic and programmed control and evaluation of the external and internal load of high-performance athletes during training sessions and high-level competitions allows the coaching staff to know a great amount of information to evaluate the physical condition of the players and the tactical positioning as well as to identify optimal performance. Therefore, this study aimed to analyse the external and internal load of wheelchair basketball players during training and competition matches considering the functional classification of the players. WIMU PROTM inertial devices were used to collect the data. As independent variables, the sporting context and the functional classification were selected, and as dependent variables, the variables related to the external and internal load were established. The results reported significant differences between the contexts, with higher values in the competition than in the training sessions considering the internal and external load. Taking into account the functional classification, it is shown that the player with a higher functional classification obtained more differences and higher values. Understanding the external and internal load of the players during training and competitions is very important to personalise the training load according to the demands of the competition. It allows development of a progressive and modular training programme of loads to obtain the best performance. Consequently, injury risk of players due to overload will also be reduced.

A finite-element framework to explore the numerical solution of the coupled problem of heat conduction, water vapor diffusion, and settlement in dry snow (IvoriFEM v0.1.0)

Abstract. The poor treatment (or complete omission) of water vapor transport has been identified as a major limitation suffered by currently available snowpack models. As vapor and heat fluxes are closely intertwined, their mathematical representation amounts to a system of nonlinear and tightly coupled partial differential equations that are particularly challenging to solve numerically. The choice of the numerical scheme and the representation of couplings between processes are crucial to ensure an accurate and robust solution that guarantees mass and energy conservation while also allowing time steps in the order of 15 min. To explore the numerical treatments fulfilling these requirements, we have developed a highly modular finite-element program. The code is written in Python. Every step of the numerical formulation and solution is coded internally, except for the inversion of the linearized system of equations. We illustrate the capabilities of our approach to tackle the coupled problem of heat conduction, vapor diffusion, and settlement within a dry snowpack by running our model on several test cases proposed in recently published literature. We underline specific improvements regarding energy and mass conservation as well as time step requirements. In particular, we show that a fully coupled and fully implicit time-stepping approach enables accurate and stable solutions with little restriction on the time step.

SLANG.D: Fast, Modular and Differentiable Shader Programming

We introduce SLANG.D, an extension to the Slang shading language that incorporates first-class automatic differentiation support. The new shading language allows us to transform a Direct3D-based path tracer to be fully differentiable with minor modifications to existing code. SLANG.D enables a shared ecosystem between machine learning frameworks and pre-existing graphics hardware API-based rendering systems, promoting the interchange of components and ideas across these two domains. Our contributions include a differentiable type system designed to ensure type safety and semantic clarity in codebases that blend differentiable and non-differentiable code, language primitives that automatically generate both forward and reverse gradient propagation methods, and a compiler architecture that generates efficient derivative propagation shader code for graphics pipelines. Our compiler supports differentiating code that involves arbitrary control-flow, dynamic dispatch, generics and higher-order differentiation, while providing developers flexible control of checkpointing and gradient aggregation strategies for best performance. Our system allows us to differentiate an existing real-time path tracer, Falcor, with minimal change to its shader code. We show that the compiler-generated derivative kernels perform as efficiently as handwritten ones. In several benchmarks, the SLANG.D code achieves significant speedup when compared to prior automatic differentiation systems.

Jellyfish: A modular code for wave function‐based electron dynamics simulations and visualizations on traditional and quantum compute architectures

AbstractUltrafast electron dynamics have made rapid progress in the last few years. With Jellyfish, we now introduce a program suite that enables to perform the entire workflow of an electron‐dynamics simulation. The modular program architecture offers a flexible combination of different propagators, Hamiltonians, basis sets, and more. Jellyfish can be operated by a graphical user interface, which makes it easy to get started for nonspecialist users and gives experienced users a clear overview of the entire functionality. The temporal evolution of a wave function can currently be executed in the time‐dependent configuration interaction method (TDCI) formalism, however, a plugin system facilitates the expansion to other methods and tools without requiring in‐depth knowledge of the program. Currently developed plugins allow to include results from conventional electronic structure calculations as well as the usage and extension of quantum‐compute algorithms for electron dynamics. We present the capabilities of Jellyfish on three examples to showcase the simulation and analysis of light‐driven correlated electron dynamics. The implemented visualization of various densities enables an efficient and detailed analysis for the long‐standing quest of the electron–hole pair formation.This article is categorized under: Theoretical and Physical Chemistry > Spectroscopy Software > Simulation Methods

Certification of Basic Skills in Endovascular Aortic Repair Through a Modular Simulation Course With Real Time Performance Assessment

Endovascular aortic repair (EVAR) is being used increasingly for the treatment of infrarenal abdominal aortic aneurysms. Improvement in educational strategies is required to teach future vascular surgeons EVAR skills, but a comprehensive, pre-defined e-learning and simulation curriculum remains to be developed and tested. EndoVascular Aortic Repair Assessment of Technical Expertise (EVARATE), an assessment tool for simulation based education (SBE) in EVAR, has previously been designed to assess EVAR skills, and a pass limit defining mastery level has been set. However, EVARATE was developed for anonymous video ratings in a research setting, and its feasibility for real time ratings in a standardised SBE programme in EVAR is unproven. This study aimed to test the effect of a newly developed simulation based modular course in EVAR. In addition, the applicability of EVARATE for real time performance assessments was investigated. The European Society of Vascular Surgery (ESVS) and Copenhagen Certification Programme in EVAR (ENHANCE-EVAR) was tested in a prospective cohort study. ENHANCE-EVAR is a modular SBE programme in EVAR consisting of e-learning and hands-on SBE. Participants were rated with the EVARATE tool by experienced EVAR surgeons. Twenty-four physicians completed the study. The mean improvement in EVARATE score during the course was+11.8 (95% confidence interval 9.8 - 13.7) points (p < .001). Twenty-two participants (92%) passed with a mean number of 2.8 ± 0.7 test attempts to reach the pass limit. Cronbach's alpha coefficient was 0.91, corresponding to excellent reliability of the EVARATE scale. Differences between instructors' EVARATE ratings were insignificant (p= .16), with a maximum variation between instructors of ± 1.3 points. ENHANCE-EVAR, a comprehensive certifying EVAR course, was proven to be effective. EndoVascular Aortic Repair Assessment of Technical Expertise (EVARATE) is a trustworthy tool for assessing performance within an authentic educational setting, enabling real time feedback.

Optimization Strategies to Adapt Sheep Breeding Programs to Pasture-Based Production Environments: A Simulation Study.

Strong differences between the selection (indoor fattening) and production environment (pasture fattening) are expected to reduce genetic gain due to possible genotype-by-environment interactions (G × E). To investigate how to adapt a sheep breeding program to a pasture-based production environment, different scenarios were simulated for the German Merino sheep population using the R package Modular Breeding Program Simulator (MoBPS). All relevant selection steps and a multivariate pedigree-based BLUP breeding value estimation were included. The reference scenario included progeny testing at stations to evaluate the fattening performance and carcass traits. It was compared to alternative scenarios varying in the progeny testing scheme for fattening traits (station and/or field). The total merit index (TMI) set pasture-based lamb fattening as a breeding goal, i.e., field fattening traits were weighted. Regarding the TMI, the scenario with progeny testing both in the field and on station led to a significant increase in genetic gain compared with the reference scenario. Regarding fattening traits, genetic gain was significantly increased in the alternative scenarios in which field progeny testing was performed. In the presence of G × E, the study showed that the selection environment should match the production environment (pasture) to avoid losses in genetic gain. As most breeding goals also contain traits not recordable in field testing, the combination of both field and station testing is required to maximize genetic gain.