An Overview of Neutrosophic Graphs by Nihar Ranjan Panda, Prasanta Kumar Raut, Amarendra Baral, Srikanta Kumar Sahoo, Sakya Singh Satapathy, Said Broumi

“…Image processing, social network analysis, pattern recognition, and decision-making in the face of uncertainty all use neutrosophic graphs. …”
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Investigating potential biomarkers associated with antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis using Mendelian randomization and transcriptomic analysis by Yujia Wang, Zhimin Chen, Kaiqi Huang, Keng Ye, Shiwei He, Yanfang Xu, Hong Chen

“…Machine learning algorithms, ROC curve analysis, and expression evaluation were employed to screen for biomarkers. Additionally, artificial neural networks (ANNs) were constructed, enrichment analysis and immune infiltration were performed, a molecular regulatory network was established, and potential drugs were predicted. …”
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Climate change reductions in lake ice cover duration and thickness help regulate the carbon sink potential of plateau type lakes by Shen Di, Wang Yafeng, Jia Junjie, Wang Shuoyue, Sun Kun, Gao Yang

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Strengthening healthcare providers’ leadership capabilities, interprofessional collaboration, and systems thinking: a conceptualization of the Clinical Scholars program impact by Tara Carr, Scott Rosas, Cheryl Noble, Michelle Song, Claudia S. P. Fernandez, Kathleen Brandert, Kathy Donnald, Giselle Corbie, Gaurav Dave

“…A conceptual map emerged, consisting of seven thematic clusters, which showed that program value could be attributed to the following elements: “Resources”, “Wicked Problem Impact Project (WPIP) Support”, “Curriculum”, “Thinking Bigger”, “Leadership Training”, “Networking”, and “Teamwork.” The pattern match showed that all seven clusters were highly rated by Fellows across the Community Well-being Impact and Sustainability domains. …”
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Prognostic Value of Radiological and Laboratory Biomarkers for Assessing Risk of Adverse Outcome in Patients with COVID-19 by А. D. Strutynskaya, M. А. Karnaushkina, L. I. Dvoretskiy, I. Е. Tyurin

“…The predictive model was built using gradient boosting and artificial neural network with sigmoid activation function.Results. …”
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A Systematic Review of Using Deep Learning Technology in the Steady-State Visually Evoked Potential-Based Brain-Computer Interface Applications: Current Trends and Future Trust Met... by A. S. Albahri, Z. T. Al-qaysi, Laith Alzubaidi, Alhamzah Alnoor, O. S. Albahri, A. H. Alamoodi, Anizah Abu Bakar

“…The first category, convolutional neural network (CNN), accounts for 70% (n=21/30). The second category, recurrent neural network (RNN), accounts for 10% (n=3/30). …”
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Temporal Synchrony in Bodily Interaction Enhances the Aha! Experience: Evidence for an Implicit Metacognitive Predictive Processing Mechanism by Jiajia Su, Haosheng Ye

“…Brain network analyses further indicated that the Reward Network (RN), Dorsal Attention Network (DAN), and Ventral Attention Network (VAN) are key neural substrates supporting this mechanism, while the SCAN network was not consistently involved during the insight formation stage. …”
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Improving ocean reanalyses of observationally sparse regions with transfer learning by Simon Lentz, Sebastian Brune, Christopher Kadow, Johanna Baehr

“…Evaluating it within a consistent data assimilation framework, this network learns and reproduces its training data’s physical patterns. …”
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Characteristics and Influence Mechanism of Cultural and Creative Enterprise Migration from the Amenity Perspective: A Case Study of Guangzhou by Liao Huihui, Wei Cheng, Luo Peng, Shen Jing

“…Research has shown the following: (1) Unlike the early evolution pattern of cultural and creative enterprises mainly gathering in the central area, and also different from the one-way migration path of manufacturing enterprises mainly transferring from the central area to the periphery, cultural and creative enterprises present more complex migration network relationships. …”
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Crack Development in Compacted Loess Subjected to Wet–Dry Cycles: Experimental Observations and Numerical Modeling by Yu Xi, Mingming Sun, Gang Li, Jinli Zhang

“…New cracks often branch out and extend along the existing crack network, demonstrating that the initial crack morphology has a controlling effect over the final crack distribution pattern. …”
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Altered functional connectivity density in the brains of hemodialysis end-stage renal disease patients: An in vivo resting-state functional MRI study. by Yan Shi, Chaoyang Tong, Minghao Zhang, Xiaoling Gao

“…<h4>Conclusion</h4>Our findings revealed abnormal intrinsic dysconnectivity pattern of salience network-related regions in ESRD patients from the whole brain network perspective. …”
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Analysis of the molecular nature associated with microsatellite status in colon cancer identifies clinical implications for immunotherapy by Wei Wu, Qihan Fu, Lulu Liu, Yi Zheng, Hangyu Zhang, Peng Zhao, Weijia Fang, Xuanwen Bao, Shaobing Cheng, Xiaomeng Dai, Xudong Zhu, Zhou Tong, Fanglong Liu

“…A receiver operating characteristic curve was used to evaluate the accuracy rate of neural network, reaching 100%.Conclusion Our analysis unraveled the difference in the molecular nature and genomic variance in MSI and MSS colon cancer. …”
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Design a Multistub Array Antenna at 28 GHz with Beam Switching Ability by A. Lak

“…Substrate Integrated Waveguide used for feeding part of single element antenna and Wilkinson power divider used for antenna array feeding network. The proposed antenna has been simulated, fabricated, and measured (S11, E, and H pattern). …”
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Climate change induced extreme meteorological conditions over sub-tropical environment: pathways towards achieving Sustainable Development Goals (SDGs) by Asish Saha, Subodh Chandra Pal, Aznarul Islam, Abu Reza Md. Towfiqul Islam, Chaitanya Baliram Pande, Edris Alam, Md Kamrul Islam

“…The rainfall prediction up to 2037 was evaluated using the “multi-layer perception-artificial neural network” model. …”
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Tunable Energy-Efficient Approximate Circuits for Self-Powered AI and Autonomous Edge Computing Systems by Shubham Garg, Kanika Monga, Nitin Chaturvedi, S. Gurunarayanan

“…Additionally, recent advancements in Deep Neural Network (DNN) running on millions of devices for various AI tasks deliver an accuracy comparable to human levels. …”
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Prognostic and immunotherapeutic response prediction in hepatocellular carcinoma: role of non-histone acetylation/deacetylation scoring by Jizhen Li, Sisi Huang, Fangling Yuan, Xunjun Yang, Qipeng Xie

“…Additionally, the response to chemotherapy was evaluated. The TIDE score was also assessed. Results Our analysis showed that HDAC1, HDAC2, and HDAC3 are highly associated with patient prognosis and are centrally located in the PPI network. …”
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Action unit based micro-expression recognition framework for driver emotional state detection by Parul Malik, Jaiteg Singh, Farman Ali, Sukhjit Singh Sehra, Daehan Kwak

“…The proposed method combines a Residual Network (ResNet18) for spatial feature extraction with a Bidirectional Long Short-Term Memory (Bi-LSTM) network for temporal pattern learning. …”
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Cutaneous non-volar melanoma dermoscopy and histopathology correlation: a systematic review protocol by Giuseppe Argenziano, Rita Bouceiro Mendes, Martinha Henrique, Pedro Augusto-Simões

“…Outcomes of interest include the association of at least one of the melanoma dermoscopy features (irregular pigmentation, blue-white veil, atypical network, multicomponent pattern, atypical dots and/or globules, regression, peripheral tan structureless area, negative network, shiny white structures, atypical vessels and streaks/pseudopods), with melanoma Breslow index or other histopathology characteristics (melanoma subtype, mitotic index and presence of ulceration). …”
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Accelerating Streaming Subgraph Matching via Vector Databases by Liuyi Chen, Yi Ding, Xushuo Tang, Fangyue Chen, Siyuan Gong, Xu Zhou, Zhengyi Yang

“…Graphs are widely used in applications such as social network analysis, bioinformatics, and recommendation systems to represent relationships and complex dependencies. …”
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Development of a Solar-Powered Edge Processing Perimeter Alert System with AI and LoRa/LoRaWAN Integration for Drone Detection and Enhanced Security by Mateo Mejia-Herrera, Juan Botero-Valencia, José Ortega, Ruber Hernández-García

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