DCS-ST for Classification of Breast Cancer Histopathology Images with Limited Annotations by Suxing Liu, Byungwon Min

“…This design enables the model to adaptively attend to diverse tissue structures and pathological patterns while maintaining classification stability. …”
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TEMPO: Timestep Explanations for Modeling Preferences in Online Preference-Based RL by Jakob Karlaus, Friedhelm Schwenker

“…Our key technical innovation is a training approach that incorporates these explanations using a novel loss function combining reward learning, saliency-based explanations, and structural regularization. We evaluate our method across multiple continuous control environments using both synthetic oracles and human trainers. …”
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Advanced cloud intrusion detection framework using graph based features transformers and contrastive learning by Vijay Govindarajan, Junaid Hussain Muzamal

“…Network flows are modeled as graphs to capture relational patterns among IP addresses and services, and a Graph Neural Network (GNN) is used to extract structured embeddings. …”
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A Novel Fuzzy Kernel Extreme Learning Machine Algorithm in Classification Problems by Asli Kaya Karakutuk, Ozer Ozdemir

“…To overcome these limitations, hybrid structures that integrate multiple techniques have emerged as effective computational methods, offering superior performance and efficiency compared to single-method solutions. …”
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A Comparative Analysis of Support Vector Machine and K-Nearest Neighbors Models for Network Attack Traffic Detection by Han Zhuoxi

“…The UNSW-NB15 dataset, which includes various attack types and normal traffic patterns, is used to evaluate the performance of these two models. …”
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Functionality and occupational analysis of a 3D-printed body-powered upper-limb prosthesis prototype for children and adolescents by Vanessa Wiesner Luna, Yury Arenis Olarte Arias

“…The need for optimized prosthetic design and structured occupational therapy interventions, including prescription, training, and follow-up, is highlighted. …”
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Molecular characterization of gliotoxin synthesis in a biofilm model of Aspergillus fumigatus by Alicia Gomez-Lopez, Candela Fernandez-Fernandez

“…The transcriptional study of some of these genes by qPCR shows temporal inter-strain differences, which correlate with those obtained when evaluating the amounts of metabolites produced. Given that A. fumigatus forms biofilm structures within the site of infection, understanding the regulation of gliotoxin biosynthesis may have a role in the evolution of Aspergillus infection and guide diagnostic and treatment strategies.…”
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Parameter study of a 5G array antenna at 28 GHz by Asma Lak

“…The antenna array is designed and simulated and the S11, E pattern, and H pattern are analyzed for both single-element and array antennas. …”
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From Words to Ratings: Machine Learning and NLP for Wine Reviews by Iliana Ilieva, Margarita Terziyska, Teofana Dimitrova

“…Additional sentiment and segmentation analyses revealed differences between wine types, and clustering identified thematic structures in the expert language. The comparison between predefined styles and automatically derived clusters was evaluated using metrics such as Adjusted Rand Index (ARI) and Normalized Mutual Information (NMI). …”
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Differential involvement of neurotransmitter pathways in AD, bvFTD and MCI: Whole-brain MRI analysis by Ricardo Félix Morais, José Maria Sousa, Cemal Koba, Leon Andres, Tiago Jesus, Inês Baldeiras, Tiago Gil Oliveira, Isabel Santana

“…Conclusions: We identified distinct atrophy patterns linked to specific neurotransmitter systems, each showing unique neurochemical profiles. …”
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Protocol for detecting neuronal subnetworks from in vivo calcium imaging data using multiple clustering algorithms in MATLAB by Jui-Yen Huang, Gautam Chauhan, Pei-Ying Chen, Esen Tuna, Hui-Chen Lu

“…Summary: Neuronal subnetworks, defined by co-activation patterns, are fundamental units of brain computation. …”
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Dataset of knowledge retention and learning satisfaction in patient–nurses safetyMendeley Data by Rose A. Nain, Deena Clare Thomas, Johari Daud Makajil, Rista Fauziningtyas

“…The data was collected through structured questionnaires administered to participants before and after implementing a safety-focused learning module. …”
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Study on the Interaction Mechanism Between Urbanization and Ecological Resilience—The Case of Urban Agglomeration on the North Slope of Tianshan Mountain by Yanjun Tong, Tiange Shi, Shubao Zhang, Yunjie Cheng, Jiangyan Liang, Jun Lei

“…In this study, the interaction between urbanization and ecological resilience is investigated, taking the urban agglomeration on the north slope of Tianshan Mountain (UANST) as a study area and using the entropy value method to construct an urbanization evaluation system. Based on land use change data, an ecological resilience evaluation model is constructed using the InVSET model, the landscape pattern index, and the unit area value equivalent factor method. …”
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PO87 | Intravascular leiomyomatosis extending to the right atrium: a case report with a multidisciplinary management

“…It is characterized by the intravascular proliferation of smooth muscle cells, often with a branching pattern that can extend from pelvic veins to thoracoabdominal vessels. …”
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Characterization of “sweet spots” and optimization of volume fracturing parameters in deep tight reservoirs of Subei Basin by TANG Jiandong, ZHANG Shunkang, LIN Shiwei, GE Zhengjun, LIN Bo

“…However, due to complex structural settings, sedimentary conditions, and natural fractures, the effective utilization of these reservoirs remains highly challenging. …”
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The Impact of Nature Reserves on the Ecological Network of Urban Agglomerations—A Case Study of the Urban Agglomeration in the Middle Reaches of the Yangtze River by Weidi Li, Xiaoxu Liang, Anqiang Jia, John Martin

“…Finally, a comparison of the effectiveness of the four ecological networks is conducted using 12 landscape pattern metrics. The results indicate several key points. …”
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Causal estimation of the relationship between reproductive performance and the fecal bacteriome in cattle by Yutaka Taguchi, Haruki Yamano, Yudai Inabu, Hirokuni Miyamoto, Koki Hayasaki, Noriyuki Maeda, Yoshiro Kanmera, Seiji Yamasaki, Noboru Ota, Kenji Mukawa, Atsushi Kurotani, Shigeharu Moriya, Teruno Nakaguma, Chitose Ishii, Makiko Matsuura, Tetsuji Etoh, Yuji Shiotsuka, Ryoichi Fujino, Motoaki Udagawa, Satoshi Wada, Jun Kikuchi, Hiroshi Ohno, Hideyuki Takahashi

“…Subsequently, correlation analysis evaluated the interrelationships between bacteriomes, which demonstrated that the patterns exhibited distinct characteristics. …”
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Forecasting birth trends in Ethiopia using time-series and machine-learning models: a secondary data analysis of EDHS surveys (2000–2019) by Daniel Adane, Assefa Andargie Kassa, Berhanu Abebaw Mekonnen, Rahel Mulatie Anteneh, Chalachew Yenew, Meron Asmamaw Alemayehu, Tilahun Degu Tsega, Sintayehu Simie Tsega, Almaw Genet Yeshiwas, Abathun Temesegen, Habitamu Mekonen, Amare Genetu Ejigu, Abraham Teym, Gashaw Melkie Bayeh, Getaneh Atikilit, Tesfaneh Shimels, Wolde Melese Ayele, Ahmed Fentaw Ahmed, Birhanemaskal Malkamu, Wondimnew Desalegn Addis, Getasew Yirdaw, Chalachew Abiyu Ayalew, Kalaab Esubalew, Zeamanuel Anteneh Yigzaw

“…Meanwhile, the average births per woman showed an increasing trend but fluctuated over time, influenced by demographic shifts such as changes in fertility preferences, age structure and migration patterns.Conclusions This study demonstrates the effectiveness of combining time-series models and machine learning, with GLMNET and Prophet XGBoost emerging as the most effective. …”
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Establishment of a patient-derived 3D in vitro meningioma model in xeno-free hydrogel for clinical applications by Mikkel Schou Andersen, Aaraby Yoheswaran Nielsen, Martin Wirenfeldt, Jeanette Krogh Petersen, Morten Winkler Møller, Christopher L. Powell, Anavaleria Castro, Grayson Herrgott, Tiit Mathiesen, Charlotte Aaberg Poulsen, Birgitte Brinkmann Olsen, Henning Bünsow Boldt, Christian Bonde Pedersen, Bo Halle, Frantz Rom Poulsen

“…After 3 months for the primary tumor and 13 days for the IOMM-Lee cell line, the 3D models were extracted and assessed using histology, immunohistochemistry, and epigenetic analyses (EPICv2 array) on five pairs to evaluate their structural fidelity, cellular composition, and epigenetic landscape compared to the original tumor. …”
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Trends in Civil War Research on South Sudan (2013–2023): A Bibliometric Analysis by Yenis Contesa, Ahmad Sahide

“…The study identifies significant contributions from prolific authors, geographical patterns in research output, and under-researched areas such as human rights and peacekeeping. …”
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