Fitting method of concrete damage Poisson’s ratio model based on Kolmogorov-Arnold network by Yu Yang, Jiahui Xu, Qiangbing Zhou, Shichao Kong, Keyi Lin

“…The prediction model for the Poisson’s ratio of concrete damage is of significant importance in the field of Structural Health Monitoring (SHM). …”
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Performance horses as a model for exercise-associated cardiac arrhythmias and sudden cardiac death by Amanda Avison, Peter W. Physick-Sheard, W. Glen Pyle

“…Similarities in cardiac structure, coronary vasculature, and ability to exercise at high levels makes performance horses a good model to investigate exercise-associated cardiac arrhythmias and sudden cardiac death in athletes. …”
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The Four Core Genotypes mouse model: evaluating the impact of a recently discovered translocation by Carrie B. Wiese, Barbara Soliman, Karen Reue

“…Here we (1) provide a practical description of the genetic translocation for researchers using the FCG model, (2) document that a majority of the studies cited in the recent report are unlikely to be affected by the translocation, (3) provide a scheme for interpreting data from studies with FCG mice harboring the Y Sry− translocation, and (4) delineate expression levels of the nine translocated genes across tissue/cell types as a filter for evaluating their potential involvement in specific phenotypes.…”
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An Explainable Multi-Model Stacked Classifier Approach for Predicting Hepatitis C Drug Candidates by Teuku Rizky Noviandy, Aga Maulana, Ghifari Maulana Idroes, Rivansyah Suhendra, Razief Perucha Fauzie Afidh, Rinaldi Idroes

“…Machine learning (ML), particularly quantitative structure–activity relationship (QSAR) modeling, offers a promising solution by predicting compounds’ biological activity based on chemical structures. …”
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On Multi‐Model Assessment of Complex Degradation Paths: The Fate of Diclofenac and Its Transformation Products by Laura Ceresa, Alberto Guadagnini, Paula Rodríguez‐Escales, Monica Riva, Xavier Sanchez‐Vila, Giovanni M. Porta

“…Abstract We present a methodology to quantify the impact of model structure and parametric uncertainty on formulations targeting biotransformation processes of Emerging Contaminants in subsurface water resources. …”
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MODELLING MANAGEMENT OF MOTIVATION OF PROFESSIONAL ACTIVITIES FOR TEACHERS IN A PRE-SCHOOL EDUCATION INSTITUTION by Tomashevs’ka Іryna

“…We have grounded the author’s approach to the integral mechanism of motivation of pedagogical workers’ professional activity, orientated towards activation of pedagogical workers on the basis of study of their necessities, interests, personal aims and possibilities of their integration with the aims of the educational establishment as well as the usage of structural elements of different motivation models in management. …”
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LoRA fine-tuning of Llama3 large model for intelligent fishery field by Yao Song, Chunli Lv, Kun Zhu, Xiaobin Qiu

“…In terms of challenges, further research is needed on how to optimize the model structure, expand the fishery datasets, improve the model generalization ability, and cope with the complex and changing environment in the fishery field.…”
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Assessment of spatial autocorrelation and scalability in fine-scale wildfire random forest prediction models by Madeleine Pascolini-Campbell, Joshua B. Fisher, Kerry Cawse-Nicholson, Christine M. Lee, Natasha Stavros

“…We assessed the role of spatial autocorrelation in driving model performance by: (1) increasing the sample spacing of our dataset, (2) introducing new predictors that represent spatial structure in the data, and (3) training our model on half the fires and predicting the other half of the fires. …”
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Biological effects of cinnamaldehyde in animal cancer models: a systematic review and meta-analysis by Dan Luo, Xu Luo, Jinghui Xie, Keying Ye, Xiangjin Wang, Xiyue Hu, Chenhao Liu, Yi Liu

“…Non-specific reactivity makes it difficult to distinguish true pharmacological effects from general cytotoxic or chemical stress responses.ConclusionWhile CA has demonstrated anti-tumor effects in animal models, these observations should be interpreted with caution. …”
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Model Hubungan Antar Pemangku Kepentingan dalam Koordinasi Penanganan Bencana di Kota Padang by Dicky Fatrias, Ringga Sri Rahayu Agustia

“…Finally, the role of each stakeholder was then identified and charted using the interpretive structural model (ISM). The proposed relationship model in disaster management coordination in Padang City consists of two levels. …”
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Multidisciplinary approach to treating complex immune dysregulation disorders: an adaptive model for institutional implementation by Lauren A. Henderson, Roshini S. Abraham, Aisha Ahmed, Lindsey Blount, Scott W. Canna, Natalia S. Chaimowitz, Shanmuganathan Chandrakasan, Bria Coates, James A. Connelly, Megan A. Cooper, Christine N. Duncan, Anthony French, Melissa Hazen, Michelle L. Hermiston, Brian Nolan, Anish Ray, Melissa J. Rose, Lisa Forbes Satter, Lisa Forbes Satter, Grant Schulert, Sara Kristen Sexson Tejtel, Tiphanie Vogel, Tiphanie Vogel, Kelly Walkovich, Matt S. Zinter, Edward M. Behrens

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The proposed model of the body of knowledge of digital transformation for the Central Bank of the Islamic Republic of Iran by Samira Tahmasebi Ashtiani, Mohammad Hasanzadeh, Atefeh Sharif, Mostafa Amini

“…The conceptual model of the research obtained from the body of knowledge of digital transformation in the central bank was designed by interpreting and combining the findings. …”
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The electronic library model to support a «blended learning» system at Novosibirsk State University by A. M. Fedotov, T. S. Vasyuchkova, M. A. Derzho, N. A. Ivancheva, O. A. Fedotova

“…The term «digital library» in this work is interpreted as an information management system of structured cataloged collections of interactive training and reference materials. …”
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Deconstruction as a Research Strategy for Discourse Studies: An Aporetic and Iterable Model for Opening Discourses by Elizabeth Deborah Martínez Aguilar, Sjors Witjes, René ten Bos

“…To this end, the proposed model draws on Derrida’s notion of double-reading , comprising two parallel and iterable readings: Double Commentary and Disruptive Reading , which focus on exposing and destabilizing the binary logic embedded in discourses to disrupt their structures of meaning and open them to supplementary interpretations and undecidables, interpretations that resist closure and fixation. …”
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A Fuzzy-Neural Model for Personalized Learning Recommendations Grounded in Experiential Learning Theory by Christos Troussas, Akrivi Krouska, Phivos Mylonas, Cleo Sgouropoulou

“…In contrast, AI-based approaches such as artificial neural networks (ANNs) have high adaptability but lack interpretability. In this work, a new model, a fuzzy-ANN model, is developed that combines fuzzy logic with ANNs to make recommendations for activities in the learning process, overcoming current model weaknesses. …”
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Climate and Human Behavior Studies for Our Warming World: An Introduction to the Models, Methods, and Data by Scott E. Ingram

“…This article aims to fill this gap by providing a practical tool kit for students, archaeologists, anthropologists, and other historically focused social scientists. It is structured as a series of seven key steps to creating a research design for a climate and human behavior study, from identifying research questions to presenting results. …”
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Large multimodal model‐based standardisation of pathology reports with confidence and its prognostic significance by Ethar Alzaid, Gabriele Pergola, Harriet Evans, David Snead, Fayyaz Minhas

“…A unique feature of the proposed approach is that it assigns a confidence value indicating the correctness of the model's extraction for each field and generates a structured report in line with national pathology guidelines in human and machine‐readable formats. …”
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KOMPSAT-3/3A Image-text Dataset for Training Large Multimodal Models by Han Oh, Dong-Bin Shin, Dae-Won Chung

“…This study aims to improve the accuracy and interpretability of large multimodal models (LMMs) specialized in satellite image analysis by constructing an image-text dataset based on KOMPSAT-3/3A imagery and presenting the results of training using this dataset. …”
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Automating IoT Data Privacy Compliance by Integrating Knowledge Graphs With Large Language Models by Kelvin U. Echenim, Karuna P. Joshi

“…The framework achieves two primary objectives: 1) leveraging the LLM to interpret natural-language compliance queries, and 2) employing a KG populated with synthetic GDPR scenarios to provide structured, up-to-date regulatory guidance, modeling obligations, permissions, and prohibitions for both deontic (normative) and non-deontic (factual) queries, thus mitigating biases and hallucinations inherent in language models. …”
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Patch-Wise-Based Diffusion Model with Uncertainty Guidance for Low-Light Image Enhancement by Li Li, Jishen Peng, Yingcai Wan

“…Existing low-light enhancement methods based on diffusion models have demonstrated effectiveness; however, they suffer from slow training processes and less structured guidance during optimization. …”
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