The novel diagnostic markers for systemic lupus erythematosus and periodontal disease by Xuedi Cheng, Jinfeng Zhang, Jiali Hou, Xiaocui Han, Bin Han, Jun Zhou, Zhongjun Wang, Junzheng Wang

“…CIBERSORT and Gene Set Variation Analysis (GSVA) were used to evaluate the correlation between shared hub genes and immune infiltration patterns as well as metabolic pathways. …”
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Respiratory oscillometry in individuals with fibrodysplasia ossificans progressiva by Anastasiia Vasileva, Joyce K. Y. Wu, Melissa Valaee, Ethan Ortiz, Zoltán Hantos, Lianne Tile, Irene Ho, Angela M. Cheung, Chung-Wai Chow

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Weighted EHR-based prevalence estimates for hypertension at the state and local levels in Louisiana by Wenjun Li, Meng Zhang, Jie Cheng, Sandra L. Jackson, Adam S. Vaughan, Michael Klompas, Thomas W. Carton, Elizabeth Nauman, Lee Mendoza, Arun Adhikari, Jeanie Donovan, Katherine H. Hohman

“…Methods MENDS, the Multi-State-EHR-Based Network for Disease Surveillance, uses EHR data to calculate chronic disease and risk factor prevalence metrics. …”
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Emotion-Aware Ensemble Learning (EAEL): Revolutionizing Mental Health Diagnosis of Corporate Professionals via Intelligent Integration of Multi-Modal Data Sources and Ensemble Tech... by Gaurav Yadav, Mohammad Ubaidullah Bokhari, Saleh I. Alzahrani, Shadab Alam, Mohammed Shuaib

“…EAEL integrates machine learning and deep learning paradigms to process multimodal data, including facial expression analysis and typing pattern recognition, offering a holistic evaluation of emotional well-being. …”
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Influence of lower-level reverse faults on shale gas enrichment and high yield: A case study of Pingqiao Dong-1 Fault in Nanchuan area, southeast margin of Sichuan Basin by GAO Quanfang,ZHANG Peixian,GUAN Linlin,LI Yanjing,NI Feng

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Changing dynamics of renewable energy investments ecosystem: A scientometrics analysis by Rajesh Mohnot, Ilhan Ozturk, Aqila Rafiuddin, Gyanendra Singh Sisodia, Vivek Kumar Singh

“…These tools enabled a detailed examination of research patterns, thematic developments, and scholarly networks within the field. …”
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Research Progress on Information Model of Urban Green Space by Wei ZHANG, Yahan YAN

“…In terms of assessment and analysis, given the increasingly complex development trends of urban fabric, traditional two-dimensional assessment methods cannot meet the needs of complex green space evaluation. By establishing evaluation methods, green space information models can be applied to different practical needs: Calculation of three-dimensional green volume indicators, analysis of three-dimensional landscape patterns, and evaluation of three-dimensional spatial ecosystem services.ConclusionBased on the requirements for green space information modeling, a corresponding construction framework can be established, including data acquisition, composition structure, detail level, spatial scale, sharing platform and analysis application of green space information models. …”
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Optical Coherence Tomography Angiography Characteristics of Polypoidal Lesions in Caucasians by Daniel Ahmed-Balestra, Alexandra Graf, Martin Stattin, Anna-Maria Haas, Stefan Kickinger, Michael Jacob, Claus Zehetner, Katharina Krepler, Siamak Ansari-Shahrezaei

“…This study highlights the importance of a multimodal imaging approach, including SS-OCTA, for the evaluation of polypoidal lesions. Our findings suggest a morphological heterogeneity of vascular patterns in Caucasian patients with polypoidal lesions, as pictured by SS-OCTA.…”
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A Grover Search-Based Quantum Key Agreement Protocol for Secure Internet of Medical Things Communication by Tzung-Her Chen

“…QKA demonstrates particular suitability for IoMT’s decentralized medical networks by eliminating trusted authority dependence while ensuring equitable participation among all participants. …”
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A Survay on the Inhabitants View on the Relocation Plan of Islamieh Village by seyd Skandar Seydai, Yunes Azadi, Mohammad Reza Bosshaq

“…The most important reasons for the dissatisfaction  include loss of land, legal disclaimer of  properties, the rupture  of services and social networks , loss of  sources of income, social tensions,  problems  in the allocation of funds for housing construction in new location, the urban style of design in the overall form of the rural settlement, weakness or loss of cultural identity, traditional patterns of authority and potential for collaboration,  obstacles to the participation of the rural dwellers in the relocation process, physical problems in new settlements, and other factors. …”
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Forecasting Temperature Time Series Data Using Combined Statistical and Deep Learning Methods: A Case Study of Nairobi County Daily Temperature by John Kamwele Mutinda, Amos Kipkorir Langat, Samuel Musili Mwalili

“…The experimental results for temperature prediction show that the hybrid models combining VMD with statistical and deep learning networks achieved improved forecasting accuracy compared with baseline models. …”
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MODELING THE BEHAVIOR OF ENTERTAINMENT CONTENT CONSUMERS TAKING INTO ACCOUNT DIGITAL TECHNOLOGIES by Olga Zyma

“…The relevance of the topic is determined by the growing role of social networks, streaming services, and user-generated content platforms, which are increasingly replacing traditional media distribution channels such as television and print publications. …”
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Advances in ECG and PCG-based cardiovascular disease classification: a review of deep learning and machine learning methods by Asmaa Ameen, Ibrahim Eldesouky Fattoh, Tarek Abd El-Hafeez, Kareem Ahmed

“…The review encompasses commonly employed methodologies such as support vector machine, decision tree, random forest, and convolutional neural networks (CNNs). Additionally, this survey aggregates and presents information on the performance metrics used to report accuracy. …”
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A deep learning based hybrid recommendation model for internet users by Amany Sami, Waleed El Adrousy, Shahenda Sarhan, Samir Elmougy

“…The proposed model uniquely combines user-based and item-based Collaborative Filtering (CF) to effectively analyze user-item interactions, Neural Collaborative Filtering (NCF) to capture complex non-linear relationships, and Recurrent Neural Networks (RNN) to identify sequential patterns in user behavior. …”
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Investigating hydraulic anisotropy of fractured rock mass using three-dimensional numerical modelling and laser scanning: a case study at South Crofty mine in Cornwall, UK by Lingfeng He, Matthew Eyre, John Coggan, Steve Holley, Dave Watkins

“…However, limited research has explored the hydraulic anisotropy of rock masses containing stochastically distributed fracture networks. This study addresses this gap by developing a three-dimensional (3D) stochastic discrete fracture network (DFN) model to assess hydraulic anisotropy and investigate the influence of fracture properties on the representative elementary volume (REV). …”
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A high-performance tensor computing unit for deep learning acceleration by Qiang Zhou, Tieli Sun, Taoran Shen, York Xue

“…The increasing complexity of neural network applications has led to a demand for higher computational parallelism and more efficient synchronization in artificial intelligence (AI) chips. …”
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A Comprehensive Investigation of Anomaly Detection Methods in Deep Learning and Machine Learning: 2019–2023 by Shalini Kumari, Chander Prabha, Asif Karim, Md. Mehedi Hassan, Sami Azam

“…It can be either in images or in videos. Finding a correct pattern is a challenging task. AD is crucial for various applications, including network security, fraud detection, predictive maintenance, fault diagnosis, and industrial and healthcare monitoring. …”
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Design concept and phase transformation study of advanced bainitic-austenitic medium-Mn steel by Anna Wojtacha, Aleksandra Kozłowska, Adam Skowronek, Oguz Gulbay, Jarosław Opara, Alexander Gramlich, Krzysztof Matus

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Bibliometric analysis of biochar application for environmental management in agricultural sector by B.A. Bakar, Idawanni ., A. Azis, S. Kurniawati, Y. Giamerti, Yardha ., R. Purba, S. Abdullah, Jonharnas ., D.R. Mustikawati, W. Chiari, E.A. Wikurendra

“…The retrieved data were analyzed using the Bibliometrix package in RStudio to evaluate publication trends, research theme evolution, and international collaboration networks. …”
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Reporting of immune-related adverse events in US Food and Drug Administration approvals of immune checkpoint inhibitors by Shaili Tapiavala, Chongliang Luo, Mina Shenouda, Vaibhav Patel, Andrew A. Davis

“…Thus, we systematically evaluated the patterns and consistency of irAEs reporting in trials leading to US Food and Drug Administration (FDA) ICI approvals.MethodsWe evaluated 75 primary articles from 2011-2021. …”
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