Energy Efficient Multipath Routing Protocol for Mobile Ad-Hoc Network Using the Fitness Function by Aqeel Taha, Raed Alsaqour, Mueen Uddin, Maha Abdelhaq, Tanzila Saba

“…The proposed protocol is called AOMDV with the fitness function (FF-AOMDV). The fitness function is used to find the optimal path from source node to destination node to reduce the energy consumption in multipath routing. …”
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Smart fiber with overprinted patterns to function as chip-like multi-threshold logic switch circuit by Xiaofei Wei, Rui Li, Siwei Xiang, Long Qin, Xinxin Luo, Jie Xue, Xing Fan

“…For which, each network node executes not only multi-physiological sensing, but also in-situ logic computing to save cloud computing power for massive data analysis. …”
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Fuzzy-Based Novel Cross-Layer RPL Objective Function for Energy-Aware Routing in IoT by M. R. Poornima, H. S. Vimala, J. Shreyas

“…The proposed CL-RPL-OF considers node-to-node communication variations arising from relative phase shifts by combining EEP with expected transmission count (ETX) and SPPR using fuzzy logic to select the best path to optimize energy consumption across both routing and MAC layers. …”
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Power System Transient Stability Assessment Based on Intelligent Enhanced Transient Energy Function Method by Tianxiao Mo, Jun Liu, Jiacheng Liu, Guangyao Wang, Yuting Li, Kaiwei Lin

“…On the basis of the above methods, a two-machine equivalent model of the IEEE-39 node system is established, and the transient energy function of the two-machine system is derived. …”
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Cardioneuroablation for reflex syncope or functional bradyarrhytmias: new insight from a single center experience by Noemi Valenti, Antonio Di Monaco, Imma Romanazzi, Nicola Vitulano, Federica Troisi, Federico Quadrini, Antonio Vitullo, Luca Sgarra, Rosa Caruso, Vincenzo Anzelmo, Pietro Guida, Natale Daniele Brunetti, Massimo Grimaldi

“…BackgroundCardioneuroablation (CNA) is a new approach to treat reflex syncope and functional bradyarrhytmias caused by autonomic imbalance. …”
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The Sea-Based Waste Collection Routing Problem Using a Novel Value Recovery Function by Ricardo C. Alindayu II, Jayne Lois San Juan, Charlle L. Sy

“…As such, a mixed-integer linear programming model called the sea-based waste collection routing problem was developed to maximize value recovery through a novel profit function. Two computer-generated instances with differing node sizes were used to illustrate the functionalities of the SB-WCRP. …”
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A Nonlinear System State Estimation Method Based on Adaptive Fusion of Multiple Kernel Functions by Daxing Xu, Aiyu Hu, Xuelong Han, Lu Zhang

“…First, a dynamic neural network is used to build the system state model, where the kernel function node is constructed by a weighted linear combination of multiple local kernel functions and global kernel functions. …”
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Developmental exposure to low doses of dichlorodiphenyltrichloroethane disrupts functional and morphologic maturation of the spleen in prepubertal rats by Bella B. Gagulaeva, Nataliya V. Yaglova, Sergey S. Obernikhin, Ekaterina P. Timokhina

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Carbohydrate metabolism, pancreas functional activity and diet in young residents of two ethnic groups in the North by Inessa V. Averyanova

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Copper chelation redirects neutrophil function to enhance anti-GD2 antibody therapy in neuroblastoma by Jourdin R. C. Rouaen, Antonietta Salerno, Tyler Shai-Hee, Jayne E. Murray, Giulia Castrogiovanni, Charlotte McHenry, Toni Rose Jue, Vu Pham, Jessica Lilian Bell, Ensieh Poursani, Emanuele Valli, Riccardo Cazzoli, Naomi Damstra, Delia J. Nelson, Kofi L. P. Stevens, Jonathan Chee, Iveta Slapetova, Maria Kasherman, Renee Whan, Francis Lin, Blake J. Cochran, Nicodemus Tedla, Feyza Colakoglu Veli, Aysen Yuksel, Chelsea Mayoh, Federica Saletta, Daniele Mercatelli, Tatyana Chtanova, Arutha Kulasinghe, Daniel Catchpoole, Giuseppe Cirillo, Maté Biro, Holger N. Lode, Fabio Luciani, Michelle Haber, Juliet C. Gray, Toby N. Trahair, Orazio Vittorio

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SuperEdgeGO: Edge-supervised graph representation learning for enhanced protein function prediction. by Shugang Zhang, Yuntong Li, Wenjian Ma, Qing Cai, Jing Qin, Xiangpeng Bi, Huasen Jiang, Xiaoyu Huang, Zhiqiang Wei

“…However, existing graph-based methods put efforts in enriching the residue node information and did not fully exploit the edge information, which leads to suboptimal representations considering the strong association of residue contacts to protein structures and to the functions. …”
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A deep learning framework for predicting disease-gene associations with functional modules and graph augmentation by Xianghu Jia, Weiwen Luo, Jiaqi Li, Jieqi Xing, Hongjie Sun, Shunyao Wu, Xiaoquan Su

“…Subsequently, a graph neural network is constructed to learn node representations by collectively aggregating information from topological structure, and gene prioritization is carried out by the disease and gene embeddings obtained from the graph neural network. …”
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State-specific thalamic dysregulation in chronic insomnia revealed by dynamic edge-centric functional connectivity by Hancheng Ma, Xue Zhang, Xiaoran Ma, Mengmeng Yu, Yande Ren

“…We calculated deFC with the thalamus as a hub node, identified transient connectivity states via K-means clustering, and compared inter-group differences. …”
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Aspartate beta-hydroxylase is a prognostic factor in gallbladder cancer with the function of promoting tumorigenesis and chemoresistance by Luo Yuan, Huang Yunpeng, Li Xiong, Yu Wen, Wang Yongxiang

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High-Order Graphical Topology Analysis of Brain Functional Connectivity Networks Using fMRI by Qinrui Ling, Aiping Liu, Yu Li, Taomian Mi, Piu Chan, B. T. Thomas Yeo, Xun Chen

“…This study provides a fresh perspective on studying topological architectures of the brain, with the potential to expand our comprehension on brain function in both healthy and diseased states.…”
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MS CETSA deep functional proteomics uncovers DNA repair programs leading to gemcitabine resistance by Ying Yu Liang, Khalidah Khalid, Hai Van Le, Hui Min Vivian Teo, Mindaugas Raitelaitis, Marc-Antoine Gerault, Jane Jia Hui Lee, Jiawen Lyu, Allison Chan, Anand Devaprasath Jeyasekharan, Wai Leong Tam, Pär Nordlund, Nayana Prabhu

“…Here we use a deep functional proteomics implementation of the Cellular Thermal Shift Assay to reveal a range of induced biochemical responses to gemcitabine in resistant and sensitive diffuse large B cell lymphoma cell lines. …”
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Regulatory Effects of SLC7A2‐CPB2 on Lymphangiogenesis: A New Approach to Suppress Lymphatic Metastasis in HNSCC by Kai Song, Yanshi Li, Kai Yang, Tao Lu, Min Wang, Zhihai Wang, Chuan Liu, Ming Yu, Mengna Wang, Zhaobo Cheng, Min Pan, Guohua Hu

“…ABSTRACT Background Lymph node metastasis (LNM) is a critical factor affecting the outcomes of head and neck squamous cell carcinoma (HNSCC) and the main reason for treatment failure. …”
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Optimal Allocation and Sizing of Multiple DGs with Reactive Power Capabilities in a Three-Phase Unbalanced Distribution System by Zahıra Aboumarıa, Selcuk Emiroglu

“…The study employs the IEEE 37 node test system in OpenDSS to carry out power flow. …”
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MM-HGNN: Multimodal Representation Learning Heterogeneous Graph Neural Network by Khalil Bachiri, Ali Yahyaouy, Maria Malek, Nicoleta Rogovschi

“…Additionally, it integrates modality-level attention that distributes attention in an adaptive way over different modalities according to their relevance, enhancing feature representations for tasks such as node classification. To further improve representation learning, a splicing mechanism is proposed to integrate outputs from multiple network layers, combining high-level features for more expressive node embeddings. …”
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Robustness Analysis of Multilayer Infrastructure Networks Based on Incomplete Information Stackelberg Game: Considering Cascading Failures by Haitao Li, Lixin Ji, Yingle Li, Shuxin Liu

“…First, we describe the multilayer network model and define the multilayer node-weighted degree. Then, we present link hiding rules and a cascading failure model. …”
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