Building a unified model for drug synergy analysis powered by large language models by Tianyu Liu, Tinyi Chu, Xiao Luo, Hongyu Zhao

“…In this manuscript, we present a unified Model, known as BAITSAO, for tasks related to drug synergy prediction with a unified pipeline to handle different datasets. …”
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Toward a unified approach to modelling adaptation among demographers and evolutionary ecologists by Joanie Van de Walle, Jimmy Garnier, Timothée Bonnet, Stephanie Jenouvrier

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Deep Unified Model For Face Recognition Based on Convolution Neural Network and Edge Computing by Muhammad Zeeshan Khan, Saad Harous, Saleet Ul Hassan, Muhammad Usman Ghani Khan, Razi Iqbal, Shahid Mumtaz

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Toward a unified parameterization of three dimensional turbulent transport in high resolution numerical weather prediction models by Ping Zhu, Kwun Yip. Fung, Xuejin Zhang, Jun A. Zhang, Jian-Wen Bao, Chuan-Kai Wang, Bin Liu, Zhan Zhang, Lucas Harris, Kun Gao, Fanglin Yang, Jongil Han, Weiguo Wang

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The energy model of insulin resistance: A unifying theory linking seed oils to metabolic disease and cancer by Catherine Shanahan

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A unified ontological and explainable framework for decoding AI risks from news data by Chuan Chen, Peng Luo, Huilin Zhao, Mengyi Wei, Puzhen Zhang, Zihan Liu, Liqiu Meng

“…To address this gap, we propose an ontological risk model that unifies AI risk representation across multiple scales. …”
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Bulk Viscous Cosmology: Unified Dark Matter by Xu Dou, Xin-He Meng

“…The bulk viscosity is introduced to model the current observational cosmos and the unified dark matter (dark matter and dark energy). …”
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ChunkUIE: Chunked instruction-based unified information extraction. by Wei Li, Yingzhen Liu, Yinling Yang, Ting Zhang, Wei Men

“…Numerous studies attempt to enhance model performance by increasing the scale of training data. …”
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An integrative, multi‐scale, genome‐wide model reveals the phenotypic landscape of Escherichia coli by Javier Carrera, Raissa Estrela, Jing Luo, Navneet Rai, Athanasios Tsoukalas, Ilias Tagkopoulos

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A Neural Operator Unifying Graph Neural Networks and Point Transformers by Junseung Ryu, Namkyeong Cho, Hyung Ju Hwang

“…By integrating the feature extraction capabilities of GNNs with the attention mechanisms of Transformers, this approach efficiently captures information across multiple scales, from local patterns to global structures, thereby enhancing both the accuracy and efficiency of operator learning.The proposed model consistently outperforms existing baseline models in experiments across various datasets, reducing relative errors. …”
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Leveraging unified multi-view hypergraph learning for neurodevelopmental disorders diagnosis by Xiangmin Han, Junchang Li

“…ObjectiveAccurate diagnosis of neurodevelopmental disorders relies on understanding the complex interactions and high-order relationships between brain regions. This work aims to model the subtle, disease-specific high-order relationships among brain regions that have been overlooked in existing works.MethodThis paper proposes a Unified Multi-View Hypergraph Learning framework that combines knowledge-driven and data-driven strategies for a more precise and comprehensive representation of the adolescent brain network. …”
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Covering the Monitoring Network: A Unified Framework to Protect E-Commerce Security by Lirong Qiu, Jie Li

“…This study addresses the problem of security in e-commerce and proposes a unified framework to analyze the security data. First, to allocate the definite security resources optimally, we build our e-commerce monitoring model as an undirected network, where a monitored node is a vertex of the graph and a connection between vertices is an undirected edge. …”
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Automated UPDRS Gait Scoring Using Wearable Sensor Fusion and Deep Learning by Xiangzhi Liu, Xiangliang Zhang, Juan Li, Wenhao Pan, Yiping Sun, Shuanggen Lin, Tao Liu

“…Conventional clinical evaluations—heavily dependent on manual rating scales such as the Unified Parkinson’s Disease Rating Scale (UPDRS)—are time-consuming and prone to inter-rater variability. …”
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Models with rank-reducing discrete boundary conditions on T 2/ℤ 4 by Yoshiharu Kawamura, Eiji Kodaira, Kentaro Kojima, Toshifumi Yamashita

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Cold Chain Technology Adoption in Agriculture: Insights from the UTAUT Model on Vegetable Producers' Willingness by Josephine Joseph Mkunda

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Unified Weak Lensing Constraints on the Evolution of the Mass–X-Ray Luminosity Relation for Galaxy Clusters by I. Pederneiras, A. Finoguenov, E. Cypriano, J. Comparat, K. Kiiveri, L. van Waerbeke, R. Dupke

“…Scaling relations between galaxy cluster properties are crucial for understanding cosmology and baryonic physics. …”
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Meson mixing bounds on Z ′ mass in the alignment limit: establishing the phenomenological viability of the 331 model by Patricio Escalona, João Paulo Pinheiro, A. Doff, C. A. de S. Pires

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A Unified Deep Learning Ensemble Framework for Voice-Based Parkinson’s Disease Detection and Motor Severity Prediction by Madjda Khedimi, Tao Zhang, Chaima Dehmani, Xin Zhao, Yanzhang Geng

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Advancing Self-Supervised Learning for Building Change Detection and Damage Assessment: Unified Denoising Autoencoder and Contrastive Learning Framework by Songxi Yang, Bo Peng, Tang Sui, Meiliu Wu, Qunying Huang

“…This design enhances multi-scale feature extraction and enables edge-aware segmentation for accurate predictions. …”
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U-Surf: a global 1 km spatially continuous urban surface property dataset for kilometer-scale urban-resolving Earth system modeling by Y. Cheng, L. Zhao, L. Zhao, L. Zhao, T. Chakraborty, K. Oleson, M. Demuzere, X. Liu, Y. Che, W. Liao, Y. Zhou, X. “. Li

“…The fundamental urban surface constraints provided by U-Surf can also be used as features for machine learning models and can have other broad-scale applications for socioeconomic, public health, and urban planning contexts. …”
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