Deep Learning-Assisted Discovery of Analogy-Inspired Designs within Peter Collins' Analogical Architectural Design Classification Framework by Hüseyin Özdemir

“…Despite the complexity of architectural images indicated by the 86% accuracy rate on test data, the study emphasizes the model's capacity to achieve accuracy above 95% when confronted with distinct architectural features. In this case, the model allows designers to discover which analogical classification the architectural work to be tested is designed according to, allowing them to develop creative solutions to new design problems. …”
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Lactylation-related risk model for prognostication and therapeutic responsiveness in uterine corpus endometrial carcinoma by Yupeng Yin, Min Luo

“…Methods We analyzed transcriptomic data from The Cancer Genome Atlas (TCGA) for UCEC patients and identified two distinct lactylation-related patterns using consensus clustering. A risk model developed using Cox and Lasso regression has been studied for its ability to predict prognosis, immune cell infiltration, and treatment response. …”
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Somatic pathology in residents of Khanty-Mansi Autonomous Okrug – Yugra by L. N. Verizhnikova, O. L. Aryamkina, N. N. Terentyeva

“…The obtained data make it possible to identify priority research areas aimed at analyzing the frequency of diseases of internal organs in the territories equated to the Far North, the features of their course and outcomes as well as to develop effective programs of primary and secondary prevention of these diseases.…”
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Redefining the Geographic Distribution of Two Cryptic Halictus (Hymenoptera: Halictidae) Species in the Eastern United States by Hannah K. Levenson, Luke R. Tembrock, Frida A. Zink, Kayla A. Mollet, David R. Tarpy

“…These clarified species distributions help us better understand local pollinator communities, associated habitat features, and abiotic conditions amenable to each, as well as provide insights into patterns related to their speciation.…”
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Simulation of single-species bacterial-biofilm growth using the Glazier-Graner-Hogeweg model and the CompuCell3D modeling environment by Nikodem J. Poplawski, Abbas Shirinifard, Maciej Swat, James A. Glazier

“…In our simulations, which generalize the PLHmodel by treating cells as spatially extended, deformable bodies, differentialadhesion between cells, and their competition for a substrate (nutrient), sufficeto produce a fingering instability that generates the finger shapes of biofilms.Our results agree with most features of the PLH model, although our inclu-sion of cell adhesion, which is difficult to implement using other modelingapproaches, results in slightly different patterns. …”
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Specificity, propagation, and memory of pericentric heterochromatin by Katharina Müller‐Ott, Fabian Erdel, Anna Matveeva, Jan‐Philipp Mallm, Anne Rademacher, Matthias Hahn, Caroline Bauer, Qin Zhang, Sabine Kaltofen, Gunnar Schotta, Thomas Höfer, Karsten Rippe

“…Abstract The cell establishes heritable patterns of active and silenced chromatin via interacting factors that set, remove, and read epigenetic marks. …”
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Micromegas with GEM preamplification for enhanced energy threshold in low-background gaseous time projection chambers [version 2; peer review: 2 approved] by Óscar Pérez Lázaro, Igor García Irastorza, Héctor Mirallas Sánchez, Susana Cebrián Guajardo, Theopisti Dafni, Gloria Luzón Marco, Juan Antonio García Pascual, Juan Francisco Castel Pablo, Javier Galán Lacarra, David Díez Ibáñez, Alfonso Ortiz de Solórzano, Álvaro Ezquerro Sastre, Luis Obis Aparicio, María Jiménez Puyuelo, Jorge Porrón Lafuente, Cristina Margalejo Blasco

“…In addition, a TREX-DM full-scale set-up has also been built and tested, featuring a replica of the fully-patterned TREX-DM Microbulk readout. …”
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Pedagogical Evaluation and Recommendations on Software Design for English Intonation Learning by Nawel Bengrait

“…Other speech tools as Speech Analyzer, Praat, and RTPitch provide automatic audio-visual assessment of intonational patterns and measurement of pitch and intensity values. …”
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Intelligent Algorithm Deep Learning Reinforcement Learning Module Integrated into the Navigation System to Enhance the Ability of Navigation to Accurately Serve Users by Li Jinhao

“…Subsequently, machine - learning algorithms are utilized to analyze user behavior data, identifying personalized demand patterns. Based on these analysis results, an intelligent navigation system prototype is designed and developed, featuring real - time road condition optimization, personalized route recommendation, and voice interaction functions. …”
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Predicting the academic achievement of students using black hole optimization and Gaussian process regression by Yanyu Chen, Xiaolin Yao

“…The proposed method can assist teachers in analyzing student behavioral patterns, understanding academic performance impact mechanisms, and developing effective learning supervision plans.…”
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Implementation of Deep Learning with Multilayer Perceptron (MLP) for Heart Disease Prediction Using the SMOTE-ENN Technique by Erliyan Redy Susanto, Erik Saputra

“…Heart disease is a leading cause of global mortality, with its prevalence increasing annually. This study aims to develop a heart disease prediction model using a Multilayer Perceptron (MLP) combined with the SMOTE-ENN resampling technique to address data imbalance issues. …”
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“VTMine for Visio”: Graphical Tool for Modeling in Process Mining by Sergey A. Shershakov

“…The application of the developed tool for solving various types of tasks for modeling and analysis of processes is demonstrated on a set of experimental schemes.…”
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Electoral Behavior of Moscow Humanities University Students between Elections by Albina I. Kagarmanova

“…The research objective was to detect electoral behavior patterns in students of the RANEPA Moscow campus and the Moscow Pedagogical State University. …”

Efficient numerosity estimation under limited time. by Joseph A Heng, Michael Woodford, Rafael Polania

“…The mechanism we propose is the likely origin of a variety of numerical cognition patterns observed in humans and other animals.…”
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Enhancing Defect Classification in Solar Panels With Electroluminescence Imaging and Advanced Machine Learning Strategies by Fatih Demir

“…A strong CNN model created from scratch is used to extract deep features. Utilizing the recently developed RSWS classification method, the deep characteristics are evaluated. …”
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THE APPLICATION OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN MEDICAL DIAGNOSTICS by Gulchin Abdullayeva, Ulkar Alizada

“…However, the characteristic features of each image indicate that it follows certain regular patterns. …”
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Classification of maize seed hyperspectral images based on variable-depth convolutional kernels by Yating Hu, Hongchen Zhang, Hongchen Zhang, Changming Li, Qianfu Su, Wei Wang

“…This design enables the network to adaptively extract continuous spectral features by modulating kernel depth, while simultaneously capturing fine-grained textural patterns through hierarchical convolutional operations. …”
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A PatchTST-GRU based heterogeneous seq2seq model with numerical weather prediction refinement for multi-step wind power forecasting by Shiwei Xu, Yongjun Wang, Xinglei Xu, Guang Shi, He Huang, Yingya Zheng

“…Furthermore, a fusion attention mechanism with asymmetric query-key-value matrices is introduced to dynamically fuse historical wind power temporal patterns with refined NWP features, optimizing prediction outcomes. …”
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Clinical and pathological analysis of primary well-differentiated neuroendocrine tumors in the kidney- a case series by Dan Yuan, Jing Wu, Dong-Yue Wang, Jin-Jing Wang

“…Abstract Objective To investigate the clinicopathological characteristics and key diagnostic/therapeutic features of primary well-differentiated neuroendocrine tumors (WDNET) of the kidney. …”
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De l’hypothese de Sapir-Whorf au prototype : sources et genese de la theorie d’Eleanor Rosch. by Jean-Michel Fortis

“…This paper deals with the origins of the theory of categorization developed by Eleanor Rosch in the 1970s. It is divided into two parts. …”
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