Identification of key regulators in pancreatic ductal adenocarcinoma using network theoretical approach. by Kankana Bhattacharjee, Aryya Ghosh

“…These DEGs formed the basis for constructing the PDAC protein interaction network, and their network topological properties were calculated. It was found that the PDAC network self-organizes into a scale-free fractal state with weakly hierarchical organization. …”
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Attention-Based Gated Recurrent Graph Convolutional Network for Short-Term Traffic Flow Forecasting by Ping Lou, Zihao Wu, Jiwei Hu, Quan Liu, Qin Wei

“…Using a road network distance-based graph enables the method better to capture the topological information in traffic flow data. Experiments were conducted on two traffic datasets with different time granularity to predict traffic flow in highway and urban contexts. …”
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Mitogenomic Phylogenetic Analyses Reveal New Insights into the Taxonomy and Evolution of Parnassiinae Swallowtail Butterflies (Lepidoptera: Papilionidae) by Lu Song, Xiaoxiao Chen, Xiushan Li, Raul Narciso C. Guedes, Youssef Dewer, Suqin Shang, Jingjiang Zhou

“…Phylogenetic analyses based on both the 13 PCGs and the complete set of 37 mitochondrial genes supported the placement of Parnassiinae as a subfamily within Papilionidae, with Parnassini and Zerynthini identified as two distinct clades within Parnassiinae. Notably, tree topologies derived from the 13 PCGs alone exhibited slight deviations from those based on the full mitogenome, underscoring the need for expanded mitogenomic data across Papilionidae to further refine evolutionary relationships.…”
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From nanoscale heterogeneities to nanolites: cation clustering in glasses by Cormier, Laurent, Galoisy, Laurence, Lelong, Gérald, Calas, Georges

“…In such positioning, Pauling rules and local charge balance requirements will favor cations be diluted at a nanoscale. The topological constraints of these two types of local structure are stronger for the former than for the latter, as disorder effects are smaller for edge-sharing than for corner-sharing polyhedra. …”
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Learning Processes to Predict the Hourly Global, Direct, and Diffuse Solar Irradiance from Daily Global Radiation with Artificial Neural Networks by Hanae Loutfi, Ahmed Bernatchou, Younès Raoui, Rachid Tadili

“…This paper presents three different topologies of feed forward neural network (FFNN) models for generating global, direct, and diffuse hourly solar irradiance in the city of Fez (Morocco). …”
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Exploring Mean Annual Precipitation Values (2003–2012) in a Specific Area (36°N–43°N, 113°E–120°E) Using Meteorological, Elevational, and the Nearest Distance to Coastline Variable... by Fushen Zhang, Zhitao Yang, Shaobo Zhong, Quanyi Huang

“…Meteorological data from 48 meteorological stations were used, and spatial correlations between three meteorological factors and two topological factors were analyzed to improve the mapping results including annual precipitation, average temperature, average water vapor pressure, elevation, and distance to coastline. …”
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Genetic variation in IL-4 activated tissue resident macrophages determines strain-specific synergistic responses to LPS epigenetically by Mingming Zhao, Dragana Jankovic, Verena M. Link, Camila Oliveira Silva Souza, Katherine M. Hornick, Oyebola Oyesola, Yasmine Belkaid, Justin Lack, Png Loke

“…C57BL/6 TRMs are more transcriptionally responsive to IL-4 stimulation, with induced genes associated with more super enhancers, induced enhancers, and topologically associating domains (TAD) boundaries. IL-4-directed epigenomic remodeling reveals C57BL/6 specific enrichment of NF-κB, IRF, and STAT motifs. …”
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Dissection of the long-range circuit of the mouse intermediate retrosplenial cortex by Yuxiao Li, Miao Ren, Bimin Liu, Tao Jiang, Xueyan Jia, Haili Zhang, Hui Gong, Xiaojun Wang

“…The dorsal and ventral subregions have preferred circuits such that the dorsal RSP exhibits spatially topological connections with the dorsal visual cortex and lateral thalamus. …”
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Mechanical properties and deformation mechanisms of the C14 Laves and µ-phase in the ternary Ta-Fe(-Al) system by C. Gasper, E.M. Soysal, N. Ulumuddin, T. Stollenwerk, T. Reclik, P.L. Sun, S. Korte-Kerzel

“…As structural and functional materials, topologically close-packed (TCP) phases of transition metal compounds offer a wide range of attractive properties. …”
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BeSnake: A Routing Algorithm for Scalable Spin-Qubit Architectures by Nikiforos Paraskevopoulos, Carmen G. Almudever, Sebastian Feld

“…Employing a simple breadth-first search approach, beSnake effectively manages the restrictions created by diverse topologies and qubit positions acting as obstacles for up to 72% qubit density. …”
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Maximum efficiency and power point tracking system for hybrid compensated wireless charging of electric vehicle by Pabba Ramesh, R.K. Pongiannan, Lukas Demel, Roman Hrbac, Narayanamoorthi R

“…However, under varied operating conditions, maintaining optimal power transfer efficiency and load power is typically beyond the capabilities of compensatory topologies. Hence, this paper proposes Maximum Efficiency and Power Tracking (MEPT) system for hybrid compensated wireless charging of EVs. …”
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Energy Storage Systems - Energizing the Future: A Review by Ravi Adarsh, Rajkumar Jayakumar Kiran, Perumal Azhahia Padmanabha Pillai Thanumalaya

“…This study provides a thorough examination of several ESS topologies, encompassing their development, historical background, and present state. …”
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DTI-MHAPR: optimized drug-target interaction prediction via PCA-enhanced features and heterogeneous graph attention networks by Guang Yang, Yinbo Liu, Sijian Wen, Wenxi Chen, Xiaolei Zhu, Yongmei Wang

“…We aim to refine DTI prediction accuracy by eliminating redundant features and capitalizing on the node topological structure to enhance feature extraction. …”
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Deep(er) reconstruction of imaging Cherenkov detectors with swin transformers and normalizing flow models by C Fanelli, J Giroux, J Stevens

“…These methods enable direct learning from real data and the reconstruction of complex topologies. We conclude by discussing the implications and future extensions of this work, which can offer capabilities for PID for multiple cutting-edge experiments like the future EIC.…”
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Accuracy Evaluation Method for Vector Data Based on Hexagonal Discrete Global Grid by Yue Ma, Guoqing Li, Long Zhao, Xiaochuang Yao

“…This paper proposes different gridding methods for various types of vector data, and a quantifiable accuracy evaluation system is established from the perspectives of geographical deviation, geometric features, and topological relationships, to evaluate the accuracy of the gridded vector data, covering all types of gridded vector data based on the hexagonal grid. …”
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Performance Evaluation and Disruption Recovery for Military Supply Chain Network by Biao Xiong, Rong Fan, Shuai Wang, Bixin Li, Can Wang

“…This paper highlights the problem from the perspective of targeted defense strategies before being attacked and analyzes the acceptable recovery time against attacks. A topological structure model, with three exclusive features, in contrast with traditional networks, is used to describe the structure of military supply chain networks. …”
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Maximizing Microgrid Efficiency: A Unified Approach with Extended Optimal Propositional Logic Control by Muhammed Cavus

“…This increase in the adoption of RESs has brought a considerable alteration in the topologies of traditional power networks to become novel power networks along with microgrids (MGs). …”
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Study on the Method of Automatically Drawing Multiscale Engineering Geotechnical (Geological) Sections Step by Step of Engineering Layers including Lenses by Guangjun Ji, Nannan Zhao, Xiaoyuan Zhou, Qian Wang, Yan Lu, Zizhao Cai

“…Firstly, the spatial information of the top and bottom boundaries of any borehole layer were extracted, and then based on the stratigraphical column, the borehole layer was studied by a step-by-step coarsen from the finest stratigraphical column to the coarsest stratigraphical column, and the occupation relationship among layers was distinguished; secondly, from the coarsest stratigraphical column to the finest level stratigraphical column step-by-step and taking the radial basis function (RBF) interpolation as an example, top and bottom boundaries were interpolated, respectively, by following the order of current stratigraphical column; next, topological relationship among engineering layers was processed according to contact relationship of strata, and strata boundaries with 0 thickness were deleted; and finally, auxiliary information such as scaler and legend were added in section to complete the drawing of multiscale sections. …”
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Re-locative guided search optimized self-sparse attention enabled deep learning decoder for quantum error correction by Umesh Uttamrao Shinde, Ravikumar Bandaru

“…Abstract Heavy hexagonal coding is a type of quantum error-correcting coding in which the edges and vertices of a low-degree graph are assigned auxiliary and physical qubits. While many topological code decoders have been presented, it is still difficult to construct the optimal decoder due to leakage errors and qubit collision. …”
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Multiplicative Attributes Derived from Graph Invariants for Saztec4 Diamond by Muhammad Haroon Aftab, Imran Siddique, Joshua Kiddy K. Asamoah, Hamiden Abd El-Wahed Khalifa, Muhammad Hussain

“…Subsequently, we compute the multiplicative topological attributes to get some new formulas. For this purpose, a simple, connected, and the finite graph is considered by supposing it Y as the graph of the Saztecn. …”
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