The Role of the Clergymen in Creating a Model of Submissive Femininity in Philanthropic Work in Nineteenth-Century Britain by Fatiha SAHLI

“…Further, they shaped a model of female philanthropy that emphasised submission and moral duty over independence and social change, keeping women within a framework that prevented them from challenging the broader patriarchal structures of the time. …”
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Accurate classification of benign and malignant breast tumors in ultrasound imaging with an enhanced deep learning model by Baoqin Liu, Shouyao Liu, Zijian Cao, Junning Zhang, Xiaoqi Pu, Junjie Yu

“…Furthermore, heat map visualizations confirm that RcdNet accurately attends to clinically relevant features such as tumor edges and irregular structures, aligning well with radiologists’ diagnostic focus and enhancing the interpretability and credibility of the model in clinical applications.ConclusionThe RcdNet model proposed in this study performs well in the classification of benign and malignant breast ultrasound images, with high classification accuracy, strong generalization ability and good interpretability. …”
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Digital Fingerprinting of Complex Liquids Using a Reconfigurable Multi‐Sensor System with Foundation Models by Gianmarco Gabrieli, Matteo Manica, Joris Cadow‐Gossweiler, Patrick W. Ruch

“…However, personalized and portable sensor systems are typically unsuitable for the generation of extensive data sets, thereby limiting the ability to train large models in the chemical sensing realm. Foundation models have demonstrated unprecedented zero‐shot learning capabilities on various data structures and modalities, in particular for language and vision. …”
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Exploring the Dynamic Evolution and Drivers of the Coupled Coordination Relationship of Carbon Emission Efficiency and Economic Benefits in Construction Land Development by Peixing Zhang, Tianlu Jin, Yuqi Wang, Honglei Guo

“…This study explores the evolution characteristics and influencing mechanisms of the synergistic relationship between carbon emission efficiency and economic benefits of CLD based on the undesirable slacks-based measurement, coupling coordination degree (CCD) model, Tapio decoupling model, spatial convergence model, and interpretable machine learning techniques. …”
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Multiobjective Genetic Programming Can Improve the Explanatory Capabilities of Mechanism-Based Models of Social Systems by Tuong M. Vu, Charlotte Buckley, Hao Bai, Alexandra Nielsen, Charlotte Probst, Alan Brennan, Paul Shuper, Mark Strong, Robin C. Purshouse

“…The framework exploits the implicit ontology of an existing human-built generative model to propose and test a plurality of new candidate model structures. …”
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Demographic Capital and the Conditional Validity of SERVPERF: Rethinking Tourist Satisfaction Models in an Emerging Market Destination by Reyner Pérez-Campdesuñer, Alexander Sánchez-Rodríguez, Gelmar García-Vidal, Rodobaldo Martínez-Vivar, Marcos Eduardo Valdés-Alarcón, Margarita De Miguel-Guzmán

“…These patterns expose a boundary condition for universalistic satisfaction models and elevate demographic capital from a descriptive tag to a structuring construct. …”
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Spatially distributed gradient-based calibration and parametric sensitivity of a spatialized hydrological model over 235 French catchments by Pierre-André Garambois, François Colleoni, Ngo Nghi Truyen Huynh, Ahmad Akhtari, Ngoc Bao Nguyen, Apolline El-Baz, Maxime Jay-Allemand, Pierre Javelle

“…New hydrological insights for the regions:: Under varying hydrological conditions, the GR4-like structure outperforms a simpler 3-parameter model in terms of robustness and accuracy. …”
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RP-KGC: A Knowledge Graph Completion Model Integrating Rule-Based Knowledge for Pretraining and Inference by Wenying Guo, Shengdong Du, Jie Hu, Fei Teng, Yan Yang, Tianrui Li

“…Subsequently, a pre-trained language model is fine-tuned and probabilistic structural loss is incorporated to embed the knowledge graph. …”
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Application of BiLSTM in Lithology Identification of Beach-Bar Sand Reservoir by CHEN Ganghua, ZHANG Yuxia, WANG Jun, ZHANG Huafeng, WANG Youwen

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Computational methods and artificial intelligence-based modeling of magnesium alloys: a systematic review of machine learning, deep learning, and data-driven design and optimizatio... by Hanxuan Wang, Raman Kumar, Raman Kumar, Ashutosh Pattanaik, Rajender Kumar, Rajender Kumar, Ali Saeed Owayez Khawaf Aljaberi, Mayada Ahmed Abass

“…The study also discusses cross-cutting themes such as simulation speed-up metrics, model interpretability across domains, and limitations in dataset coverage. …”
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Using atomistic solution scattering modelling to elucidate the role of the Fc glycans in human IgG4. by Valentina A Spiteri, James Doutch, Robert P Rambo, Jayesh S Bhatt, Jayesh Gor, Paul A Dalby, Stephen J Perkins

“…Further insight from Monte Carlo simulations for glycosylated and deglycosylated IgG4 came from 111,382 and 117,135 possible structures respectively. Their comparison to the X-ray and neutron scattering curves identified several hundred best-fit models for both forms of IgG4. …”
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ACtriplet: An improved deep learning model for activity cliffs prediction by in tegrating triplet loss and pre-training by Xinxin Yu, Yimeng Wang, Long Chen, Weihua Li, Yun Tang, Guixia Liu

“…ACs offer crucial insights that aid medicinal chemists in optimizing molecular structures. Nonetheless, they also form a major source of prediction error in structure-activity relationship (SAR) models. …”
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EXPERIMENTAL STUDIES OF A MODEL FOR OPTIMIZING THE PORTFOLIO OF A PROJECT-ORIENTED ORGANIZATION BASED ON THE ENTROPY CONCEPT by Alla Bondar, Svitlana Onyshchenko

“…As a result of the study, the applicability and adequacy of the model for optimizing the portfolio structure of a project-oriented organization were substantiated.  …”
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Enhanced insulator fault detection using optimized ensemble of deep learning models based on weighted boxes fusion by Stefano Frizzo Stefenon, Laio Oriel Seman, Gurmail Singh, Kin-Choong Yow

“…The proposed model is hypertuned considering a tree-structured Parzen estimator (TPE), and interpretative results are provided using the eigenvector-based class activation map (Eigen-CAM) algorithm. …”
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Acute Issues of International Recording of Pilot Patterns and Models Made Under the Contract for Research and Development Work by I. G. Novoselova

“…The author investigates the acute problems of taking into account the international legislation similar to problems arising in Russian legislation in order to discuss, share experience, elaborate common approaches to recording of economic operations and eliminating of different interpretations. The most important today are the contradictions arising during recording material objects made during execution of research and development work, during their further use, as well as the structure of expenses on research and experimental developments. …”
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Dynamical behaviours of soliton solutions with stability analysis to the q-deformed Tanh-Gordon model in optical fiber by Muhammad Idrees Afridi

“…These answers might shed more light on the model's mathematical structure and characteristics. …”
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Optimizing Large Language Models for Arabic Healthcare Communication: A Focus on Patient-Centered NLP Applications by Rasheed Mohammad, Omer S. Alkhnbashi, Mohammad Hammoudeh

“…This gap is largely due to challenges like the lack of suitable training datasets, the diversity of Arabic dialects, and the language’s structural complexity. In this study, a panel of medical experts evaluated responses generated by LLMs, including ChatGPT, for Arabic healthcare inquiries, rating their accuracy between 85% and 90%. …”
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Material Experimentation in the Architectural Design Studio: An Experimental Pedagogical Model for Incorporating Craft Mediums into Studio Education by İrem Küçük

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Performance prediction of sintered NdFeB magnet using multi-head attention regression models by Qichao Liang, Qiang Ma, Hao Wu, Rongshun Lai, Yangyang Zhang, Ping Liu, Tao Qi

“…Traditional machine learning models based on mathematical and statistical principles are effective for structured data and offer high interpretability. …”
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A Welding Defect Detection Model Based on Hybrid-Enhanced Multi-Granularity Spatiotemporal Representation Learning by Chenbo Shi, Shaojia Yan, Lei Wang, Changsheng Zhu, Yue Yu, Xiangteng Zang, Aiping Liu, Chun Zhang, Xiaobing Feng

“…Meanwhile, an independent branch utilizes the Histogram of Oriented Gradient (HOG) and Scale-Invariant Feature Transform (SIFT) features to extract long-term spatial structural information from historical edge images, enhancing the model’s interpretability. …”
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