Promoting by Looking Into Friend Circles: An Inadequately-Labeled and Socially-Aware Financial Technique for Products Recommendation by Nan Su

“…Our approach uses a geometry-based feature selection strategy to accurately capture each user’s buying patterns, which are characterized by a range of features, including those learned under weak supervision. …”
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A Wide and Weighted Deep Ensemble Model for Behavioral Drifting Ransomware Attacks by Umara Urooj, Bander Ali Saleh Al-rimy, Mazen Gazzan, Anazida Zainal, Eslam Amer, Mohammed Almutairi, Stavros Shiaeles, Frederick Sheldon

“…To consider the behavioral drifting problem of ransomware attacks, a model should be able to generalize the behavior of significant features comprehensively. Existing solutions were developed by using either a whole attack pattern or a fraction of an attack pattern. …”
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Entropy, Irreversibility, and Time-Series Deep Learning of Kinematic and Kinetic Data for Gait Classification in Children with Cerebral Palsy, Idiopathic Toe Walking, and Hereditar... by Alfonso de Gorostegui, Massimiliano Zanin, Juan-Andrés Martín-Gonzalo, Javier López-López, David Gómez-Andrés, Damien Kiernan, Estrella Rausell

“…The classification accuracy of these features was compared to a ResNet Deep Learning model. …”
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Acting with the World: Doing without Science by Andrew Pickering

“…To bring out its key features I discuss a form of natural farming developed in Japan by Masanobu Fukuoka, emphasising the way in which Fukuoka’s poetic approach foregrounds the performative back and forth with nature that I call a dance of agency. …”
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mindLAMPVis as a Co-Designed Clinician-Facing Data Visualization Portal to Integrate Clinical Observations From Digital Phenotyping in Schizophrenia: User-Centered Design Process a... by Karthik Sama, Jaya Sreevalsan-Nair, Soumya Choudhary, Srilakshmi Nagendra, Preethi V Reddy, Asher Cohen, Urvakhsh Meherwan Mehta, John Torous

“…As an example of reverse translation, mindLAMPVis offers new features that complement the original features of mindLAMP, highlighting the mutual benefit of software adaptation and collaborative design. …”
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A comprehensive analysis of transcription factors identified TCF3 as a prognostic target for glioma by Qiao Li, Peng Feng, Shangyu Liu, Goupeng Tian, Guoqiang Yuan, Yawen Pan

“…Our findings provide crucial insights into the molecular mechanisms of glioma and offer a foundation for the development of novel therapeutic strategies.…”
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Classification Model for Bot-IoT Attack Detection Using Correlation and Analysis of Variance by Firgiawan Faira, Dandy Pramana Hostiadi

“…Feature selection using the ANOVA method identified 10 key features from a total of 17: seq, stddev, N_IN_Conn_P_SrcIP, min, state_number, mean, N_IN_Conn_P_DstIP, drate, srate, and max. …”
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The design and application of in-depth interviews in primary care research by Zhijie Xu, Yang Wang, Yi Qian

“…In-depth interviews aim to explore the lived experiences and behavioral patterns of specific social groups through detailed conversations with participants. …”
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Cross-Modal Complementarity Learning for Fish Feeding Intensity Recognition via Audio–Visual Fusion by Jian Li, Yanan Wei, Wenkai Ma, Tan Wang

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RESULTS OF THE TECTONOPHYSICAL STUDY IN THE DZHANKHOT THRUST ZONE (NORTHWESTERN CAUCASUS) by A. V. Marinin, T. Yu. Tveritinova

“…There was shown the difference in the development of geological indicators of faults for different elements of the folded structures. …”
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From Tables to Computer Vision: Transforming HPDC Process Data into Images for CNN-Based Deep Learning by A. Burzyńska

“…The proposed study is founded on two principal pillars: the transformation of process tabular data (generated using the Conditional Tabular Generative Adversarial Network (CTGAN)), involving the mapping of features onto a fixed grid in a heatmap structure, and the configuration of the CNN algorithm to extract complex patterns in the data that are not readily apparent in the original tabular format. …”
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Paddy Rice Mapping in Hainan Island Using Time-Series Sentinel-1 SAR Data and Deep Learning by Guozhuang Shen, Jingjuan Liao

“…This enhancement highlights the model’s capability to effectively integrate both spatial and temporal features, leading to more precise paddy rice mapping. …”
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Deciphering the role of CNIH4 in pan-cancer landscapes and its significance in breast cancer progression by Yao Xu, Zengzhen Lai, Chaolin Li

“…The CNIH4 gene, an emerging biomarker, is increasingly recognized for its role in the malignant progression across various cancers.MethodsWe conducted a comprehensive multi-omics analysis of CNIH4, including pan-cancer expression profiles, epigenetic alterations, immune microenvironment characteristics, and therapeutic response patterns. Our focus was on clinical features, molecular underpinnings, and drug sensitivity in breast cancer (BRCA) associated with CNIH4. …”
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Hotel and accommodation booking management service for traveling in Ukraine by Vitaly Viktorovych Kochura, Nadia Oleksandrivna Kushnir, Tamara Mykolaivna Loktikova, Andriy Vasyliovych Morozov

“…The developed service meets modern requirements and has the following features: modern and adaptive design, user-friendly interface with the ability to create a personal account, and support for signing in via Google.…”
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Analysis of Impact on Operating Characteristics of New Power System in Low-Temperature Weather by Zhipeng Liu, Yicong Wang, Yanling Lv

“…Specifically, the distinct features of two prevalent low-temperature weather patterns—cold waves and freezing rain—are incorporated into the system modeling framework. …”
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The Empowering ELSA SPEAK: A Modern Approach to English Speaking and Pronunciation Mastery with an AI-Powered for EFL Students by Naura Ariesta, Shifa Mantika Nur Aulia, Yulian Purnama

“… This study critically analyses the ELSA Speak application and its multifaceted impacts on the development of speaking and pronunciation skills among English as a Foreign Language (EFL) learners. …”
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Intercellular interactions and their role in fibrogenesis in chronic hepatitis C by I. A. Karabak, V. E. Karev

“…The developing of liver fibrosis is provided by intercellular interactions, first of all, of lymphocytes, macrophages and stellate cells (SC), the patterns of mutual influences of which have not been sufficiently studied at the moment.The objective was to study the features of intercellular interplay of nonparenchymal liver cells at different histological activity, at different stages of CHC fibrosis, and at different genotypes of the hepatitis C virus (HCV).Methods and materials. …”
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From light sensing to adaptive learning: hafnium diselenide reconfigurable memcapacitive devices in neuromorphic computing by Bashayr Alqahtani, Hanrui Li, Abdul Momin Syed, Nazek El-Atab

“…Abstract Advancements in neuromorphic computing have given an impetus to the development of systems with adaptive behavior, dynamic responses, and energy efficiency characteristics. …”
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Flexible analysis of spatial transcriptomics data (FAST): a deconvolution approach by Meng Zhang, Joel Parker, Lingling An, Yiwen Liu, Xiaoxiao Sun

“…Abstract Motivation Spatial transcriptomics is a state-of-art technique that allows researchers to study gene expression patterns in tissues over the spatial domain. As a result of technical limitations, the majority of spatial transcriptomics techniques provide bulk data for each sequencing spot. …”
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Predictive models and WTAP targeting for idiopathic pulmonary fibrosis (IPF) by Guo-Dong Li, Juan Li, Jia-Qi Fan, Jun-Yi Li, Bin Zhao, Xiao Chen

“…The current study explores the potential involvement of m6A modification in the development of IPF. This research analyzed the GSE93606 dataset of 20 non-IPF and 154 IPF patients, identifying 26 m6A regulators and developing predictive models with RF and SVM, assessed via ROC curves. …”
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