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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Fluid Equation-Based and Data-Driven Simulation of Special Effects Animation by Yujuan Deng

“…Finally, the 3D motion trajectory of the point feature object and the motion pattern at a certain moment are shown, and the method in this paper obtains more ideal results, which proves the effectiveness of the method.…”
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Segmentation of Endothelial Cell Boundaries of Rabbit Aortic Images Using a Machine Learning Approach by Saadia Iftikhar, Andrew R. Bond, Asim I. Wagan, Peter D. Weinberg, Anil A. Bharath

“…The results obtained from the image segmentation technique developed here may be used for the study of shape and alignment of ECs, and hence patterns of blood flow, around arterial branches.…”
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Research on the spatial evolution process and reconfiguration pathway of mountainous cities based on the human-water relationship in river basins—A case study of Yichang City, Hube... by Mengjie Zhang, Wei Zhai, Ziyang Xiong, Chong Peng

“…At the same time, influenced by the significant and special event of the Three Gorges Project construction, the city has undergone rapid ''leapfrog'' development. Amid population mobility and river basin management needs, Yichang should use its ''water'' feature to integrate function, scale, and structure, focusing on water protection and utilization to ensure national and energy security. …”
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FAST Drift Scan Survey for H i Intensity Mapping. II. Stacking-based Beam Construction of the 19-feed Array at 1.4 GHz by Xinyang Zhao, Yichao Li, Wenxiu Yang, Furen Deng, Yougang Wang, Fengquan Wu, Xin Wang, Xiaohui Sun, Xin Zhang, Xuelei Chen

“…Based on the Five-hundred-meter Aperture Spherical radio Telescope (FAST), we employ two sets of drift-scan survey data and merge the measurements to construct the beam patterns of the 19 FAST L -band feeds. To model the beams, we utilize the Zernike polynomial, which effectively captures asymmetric features of the main beam and the different side lobes. …”
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Assessing Sleep Quality Using Mobile EMAs: Opportunities, Practical Consideration, and Challenges by Jiyoun Lim, Chi Yoon Jeong, Jeong Muk Lim, Seungeun Chung, Gague Kim, Kyoung Ju Noh, Hyuntae Jeong

“…However, these studies focused on specific factors such as smoking, exercising so that they have limits to reflect complex narrative of lifestyle patterns. Therefore, we proposed indicators consist of EMAs data for assessing everyday sleep quality and these indicators contain the complex lifestyle contexts in a quantitative manner. …”
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A data driven framework for optimizing droplet microfluidics with residual block and Fourier enhanced networks by Alireza Samari, Kamal Jannati, Azadeh Jafari

“…Droplet formation dynamics within a co-flow microfluidic device were simulated using the Lattice Boltzmann method, generating a comprehensive dataset of 658 cases across both dripping and jetting regimes. We developed two innovative machine learning models: the Fourier-Enhanced Network (FEN), which utilizes Fourier series to decompose input features into harmonic components; and the Residual Block Network (ResBNet), which incorporates skip connections within residual layers to capture complex nonlinear patterns. …”
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Scenarios of change in Iranian family lifestyle with emphasis on mapping new communication technologies from the perspective of experts by Bahareh Nasiri

“…From the experts' point of view, 4 scenarios: eclectic media family, stable media family, unstable media family and chaotic media family were developed and the main features of each scenario were presented.…”
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Geochemistry of Pyrite from the Jiaojia Gold Deposit, Jiaodong Peninsula, North China Craton: Implications for Source of Ore-Forming Fluids and Gold Precipitation by Yayi Fang, Yayun Liang, Rui Xia, Lei Shu, Bi He, Wenhao Xue, Chenxi Zhang, Haiyi Wang, Senmiao Xue

“…Gold mineralization in Jiaojia deposit occurred in three stages: (1) The Pyrite–Quartz–Sericite Stage (Stage I) developed primary minerals that included quartz, sericite, and a small amount of anhedral pyrite, appearing as disseminations within milky quartz and foliated sericite. (2) The Quartz–Pyrite Stage (Stage II) developed quartz that appears smoky gray and pyrite that appears with a euhedral cubic morphology, with crystal faces oriented in a longitudinal pattern. …”
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<i>DEPDC5</i> mutations in familial epilepsy syndrome: genetic insights and therapeutic approaches by M. K.C. Diallo, S. Mukesh, L. Kapil, R. Singla, D. Tar, S. N. Tammineedi, E. Singer, H. Chhayani, K. Arumaithurai, U. K. Patel, R. Arora

“…Corrected age is approximately 1-year for fine motor and language, 1.5-years for gross motor, 2.5-years for cognition, social skills. She had developed autistic features as well with significant impaired auditory/visual processing. …”
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One-Step Dry-Etching Fabrication of Tunable Two-Hierarchical Nanostructures by Xu Ji, Bo Wang, Zhongshan Zhang, Yuan Xiang, Haifang Yang, Ruhao Pan, Junjie Li

“…Both the mask pattern and etching parameters play crucial roles, by which two-hierarchical structures with diversiform shapes can be constructed controllably. …”
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Exploring potential methylation markers for ovarian cancer from cervical scraping samples by Ju-Yin Lien, Lu Ann Hii, Po-Hsuan Su, Lin-Yu Chen, Kuo-Chang Wen, Hung-Cheng Lai, Yu-Chao Wang

“…Since aberrant DNA methylation patterns are linked to cancer progression, DNA methylation offers a promising avenue for early diagnosis. …”
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Identification, Evolution and Expression Analyses of the Hox Family in Procambarus clarkii by Xiaoyu WEI, Qian HU, Zemao GU, Yanhe LI

“…They are usually clustered on chromosomes and play important regulatory roles in embryonic development, cell differentiation, body pattern determination, and tissue and organ formation of organisms. …”
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Navigating the Dynamics: Modeling of Wave Propagation at Taiping Bay Port for Enhanced Design and Management by Dachuan He, Xi Zhang, Yakun Liu, Zhi Chen, Xiangjun Nie, Ke Wang

“…Our findings elucidate the intricate wave patterns and transformations within the harbor, highlighting the significant impact of the deep navigation channel on wave attenuation. …”
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Image-Text Joint Learning for Social Images with Spatial Relation Model by Jiangfan Feng, Xuejun Fu, Yao Zhou, Yuling Zhu, Xiaobo Luo

“…Existing approaches generally rely on recognizing object instances individually with geo-tags, visual patterns, etc. However, the social image represents a web of interconnected relations; these relations between entities carry semantic meaning and help a viewer differentiate between instances of a substance. …”
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Microecological aspects of relationship between skin microbiota and psoriasis by Arsenyeva A.A., Lyamin A.V., Migacheva N.B., Orlov E.V., Alekseev D.V.

“…In particular, various patterns of deviations in the composition of microbiological communities are considered, such as an increase in the ratio of individual pathogens (Staphylococcus aureus and Streptococcus pyogenes) and a decrease in the number of microorganisms that limit the growth of pathogenic flora (Staphylococcus epidermidis and Cutibacterium acnes). …”
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Detection and Monitoring of Floating Plastic Debris on Inland Waters From Sentinel-2 Time Series by Daniele Cerra, Stefan Auer, Adrian Baissero, Felix Bachofer

“…First, the detection of plastic candidates is conducted with a rule-based approach relying on variations in signal intensity, temporal patterns, spectral features, and information fusion. …”
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Automated building typology clustering and identification using a variational autoencoder on digital land cadastres by Jaime de-Miguel-Rodriguez, M.V. Requena-Garcia-Cruz, E. Romero-Sánchez, A. Morales-Esteban

“…Unlike traditional shape clustering approaches, that depend on predefined rules or manual labelling, the method employs unsupervised learning to identify building typologies, based solely on geometric features, derived from roof-print shapes. Leveraging a large-scale dataset of over 100,000 buildings from the Seville, Spain cadastre, the VAE has been trained with augmented data to generate a latent space that captures dominant morphological patterns. …”
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Task relevant autoencoding enhances machine learning for human neuroscience by Seyedmehdi Orouji, Vincent Taschereau-Dumouchel, Aurelio Cortese, Brian Odegaard, Cody Cushing, Mouslim Cherkaoui, Mitsuo Kawato, Hakwan Lau, Megan A. K. Peters

“…We thus developed a Task-Relevant Autoencoder via Classifier Enhancement (TRACE) designed to identify behaviorally-relevant target neural patterns. …”
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