Structuring scientific works in the “Introduction, Methods, Results and Discussion” format – what a beginner ought to know by N. V. Avdeeva, G. A. Lobanova

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Designing an Earnings Management Improvement Model for Iranian knowledge-based Firms by Khadijeh Ghasemi, Hosein Jabbari, Meysam Arabzadeh, Hosein Panahian

“…This study is interpretive in the model exploration phase and positivist in the model testing phase, and in general, this is applied research. …”
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Decision making, symmetry and structure: Justifying causal interventions by Johnston David O., Ong Cheng Soon, Williamson Robert C.

“…We can use structural causal models (SCMs) to help us evaluate the consequences of actions given data. …”
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A Structured and Comparative Analysis of Personal Values Theories by Doris POPOVICI

“…Each one is described, their validation studies for the scales are presented, where applicable and prudent interpretation of differences is made. The present synthesis of current personal values theories is a way to structure the relevant models and their validation studies, if they have any. …”
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STUDY OF THE NEOTECTONIC STRUCTURE OF THE BRATSK WATER RESERVOIR BED by A. G. Dmitriev, K. G. Levi, A. G. Vakhromeev

“…With reference to the velocity law, the travel time sections were processed and converted into depth profiles. A petrophysical model of bottom sediments was constructed, and a scheme was developed to ensure proper processing and interpreting of seismic and acoustic data. …”
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Tensor‐structured decomposition improves systems serology analysis by Zhixin Cyrillus Tan, Madeleine C Murphy, Hakan S Alpay, Scott D Taylor, Aaron S Meyer

“…CMTF outperforms standard methods like principal components analysis in the extent of data reduction while maintaining equivalent prediction of immune functional responses and disease status. Under CMTF, model interpretation improves through effective data reduction, separation of the Fc and antigen‐binding effects, and recognition of consistent patterns across individual measurements. …”
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Inference of population structure using dense haplotype data. by Daniel John Lawson, Garrett Hellenthal, Simon Myers, Daniel Falush

“…Furthermore, when markers are in linkage disequilibrium, the matrix combines information across successive markers to increase the ability to discern fine-scale population structure using PCA. In parallel, we have developed an efficient model-based approach to identify discrete populations using this matrix, which offers advantages over PCA in terms of interpretability and over existing clustering algorithms in terms of speed, number of separable populations, and sensitivity to subtle population structure. …”
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Pattern Recognition in Urban Maps Based on Graph Structures by Xiaomin Lu, Zhiyi Zhang, Haoran Song, Haowen Yan

“…While both have achieved certain recognition outcomes, they suffer from four key limitations: (1) insufficient algorithmic interpretability; (2) limited model generalizability; (3) restricted pattern diversity in recognition; (4) inability of existing methods (including deep learning and traditional algorithms) to achieve multi-pattern recognition across heterogeneous map group types (e.g., building groups vs. road networks) using a single framework. …”
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Bayesian network structure learning by opposition-based learning by Baodan Sun, Xinyi Zhang, Junhui Jiang, Jianguang Gong, Dan Lin

“…Abstract As a classical basic model for causal inference, Bayesian networks are of vital importance both in artificial intelligence with uncertainty and interpretability. …”
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Velocity Structure and Molecular Formation in the Polaris Molecular Cloud by Tomomi Shimoikura, Kazuhito Dobashi, Fumitaka Nakamura, Kotomi Taniguchi

“…While virial analysis suggests that the entire cloud is gravitationally unbound, we identified several filamentary structures extending from the main cloud body. These filaments show systematic velocity gradients of 0.5–1.5 km s ^−1 pc ^−1 , and analysis of the velocities shows that the molecular gas within them is falling toward the main cloud body, following a freefall model. …”
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Analysis of key geological structures and rockburst prediction method by Chunchi Ma, Yang Yuan, Xiang Ji, Feng Peng, Ziquan Chen, Hang Zhang

“…By analyzing the rockburst sample points of various grades, the confidence intervals for the key structural parameters were interpreted, with the prediction method developed for identifying the key geological structures. …”
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Approaches to the formation of the financial controlling system and its structure by S.M. Ratushnyi

“…The purpose of the article is to structure the theoretical model of the financial controlling system based on the assessment of scientific approaches to the formation of its elemental composition. …”
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Prediction of buckling damage of steel equal angle structural members using hybrid machine learning techniques by Nang Xuan Ho, Tien-Thinh Le, The-Hung Dinh, Van-Hai Nguyen

“…Abstract This article deals with prediction of buckling damage of steel equal angle structural members using a surrogate model combining machine learning and metaheuristic optimization technique. …”
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Designing and explaining the political behavior model of managers in government organizations by Mehdi Izadi, Amir Hoshang Nazarpuri, Reza Sepahvand, Hojat Vahdati, Mohammad Hakak

“…Data collection tools include semi-structured interviews. In the data analysis, thematic analysis and the MICMAC software were used, and to prioritize the factors affecting political behavior, for the interpretative structural approach, the ism method was used. …”
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A Multispecies Atmospheric Escape Model with Excited Hydrogen and Helium: Application to HD209458b by Anna Ruth Taylor, Tommi T. Koskinen, Luca Argenti, Nicholas Lewis, Chenliang Huang, Anthony Arfaux, Panayotis Lavvas

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A quantitatively interpretable model for Alzheimer’s disease prediction using deep counterfactuals by Kwanseok Oh, Da-Woon Heo, Ahmad Wisnu Mulyadi, Wonsik Jung, Eunsong Kang, Kun Ho Lee, Heung-Il Suk

“…Deep learning (DL) for predicting Alzheimer’s disease (AD) has provided timely intervention in disease progression yet still demands attentive interpretability to explain how their DL models make definitive decisions. …”
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Version [1.1] - [MakeDecision: Online system for the graphical design of decision-making models in crisp and fuzzy environments] by Jakub Więckowski, Wojciech Sałabun

“…This paper presents an extension of the MakeDecision application, significantly enhancing its capabilities for addressing multi-criteria decision problems and designing structural decision-making models. The updated tool includes a wide range of new techniques that broaden the comprehensiveness of calculations, enabling the development of more complex and robust decision models. …”
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The Western Alpine arc: a review and new kinematic model by Brunsmann, Quentin, Rosenberg, Claudio Luca, Bellahsen, Nicolas

“…Based on a critical review of conceptual models for the formation of the Western Alpine arc and associated geodynamic processes, we conclude that an arcuate structure already exists before the onset of collision. …”
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Trust in the Automatic Train Supervision System and Its Effects on Subway Dispatchers’ Operational Behavior by Jianxin Wang, Weining Fang, Haifeng Bao

“…This study focuses on the dynamics of trust formation among Chinese subway dispatchers and its downstream effects on their reliance behavior. Through the structural equation modeling of questionnaire data, we identify key factors influencing trust and its operational implications. …”
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Data Flow-Based Strategies to Improve the Interpretation and Understanding of Machine Learning Models by Michael Brimacombe

“…-based results are examined here by carefully curating and monitoring the flow of data into, for example, artificial neural networks and random forest supervised models. While these models possess structures and related fitting procedures that are highly complex, careful restriction of the data being utilized by these models can provide insight into how they interpret data structures and associated variables sets and how they are affected by differing levels of variation in the data. …”
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