Case report: Co-occurrence of Wilson’s and Alexander’s diseases revealed by genetic analysis by Shufan Ge, Lanting Sun, Han Wang, Han Wang, Wenming Yang, Wenming Yang, Qiaoyu Xuan, Daiping Hua

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Application of EEG Signal Recognition Method Based on Duffing Equation in Psychological Stress Analysis by Min Chai, Lei Ba

“…Based on the study of the feature extraction algorithm based on the multiple empirical mode decomposition of the Duffing equation, this paper proposes a corresponding improved algorithm, completes the identification and analysis of the psychological pressure dimension space under the audiovisual induction method, and designs two typical psychological types of music and pictures. …”
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Mitochondrial genome analysis of the endangered Oreocharis esquirolii: insights into evolutionary adaptation and conservation by Lang Chen, Rong-Rong Yan, Chong-Yi Yang, Li-Zhen Ling, Xin-Xiang Bai, Qi-Fei Ren, Guo-Xiong Hu

“…Positive selection signals were detected in seven coding genes of the O. esquirolii mitogenome, with a potential impact on environmental adaptation. …”
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Computer-Aided Supporting Models of Customized Crack Propagation Sensors for Analysis and Prototyping by Paulina Kurnyta-Mazurek, Rafał Wrąbel, Artur Kurnyta

“…This paper briefly introduces a new type of sensor, called a Customized Crack Propagation Sensor (CCPS), which is an alternative for crack gauges, but with enhanced functional features and customizability. Due to those characteristics, it is necessary to develop a family of computer-aided supporting models for rapid prototyping and analysis of the new designs of sensors of various shapes and configurations, which this paper presents by use of simulation tools. …”
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Genetic Analysis of Prenatal Renal Abnormalities in 17q12 Microdeletion Syndrome by Yongmei Shen, Yaqi Li, Xiaomin Zhao, Lei Zhang, Liying Yao, Jiasong Cao, Qimei Lin, Hefei Wang, Maolin Nie, Rongxin Wei, Ying Chang, Yang Pan, Jue Li

“…To analyze fetal renal abnormality genetic features and the prenatal characteristics of the 17q12 microdeletion syndrome. …”
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AI-Driven Framework for Enhanced and Automated Behavioral Analysis in Morris Water Maze Studies by István Lakatos, Gergő Bogacsovics, Attila Tiba, Dániel Priksz, Béla Juhász, Rita Erdélyi, Zsuzsa Berényi, Ildikó Bácskay, Dóra Ujvárosy, Balázs Harangi

“…In this study, we present a novel AI-based automated framework to process and evaluate MWM test videos, aiming to enhance behavioral analysis through machine learning. Our pipeline involves video preprocessing, animal detection using convolutional neural networks (CNNs), trajectory tracking, and postprocessing to derive detailed behavioral features. …”
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An effective PO-RSNN and FZCIS based diabetes prediction and stroke analysis in the metaverse environment by M. Karpagam, S. Sarumathi, A. Maheshwari, K. Vijayalakshmi, K. Jagadeesh, V. Bereznychenko, R. Narayanamoorthi

“…The proposed system integrates Montwisted-Jaco curve cryptography (MJCC) for secured data transmission, Aransign-principal component analysis (A-PCA) for feature dimensionality reduction, and synthetic minority oversampling technique (SMOTE) to address data imbalance. …”
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Protecting Industrial Control Systems From Shodan Exploitation Through Advanced Traffic Analysis by Sayed Reza Ghazinour Naeini, Alireza Shameli-Sendi, Masoume Jabbarifar

“…This research introduces protocol analysis as a novel feature in network traffic analysis, significantly improving detection accuracy over models that rely solely on traditional network features. …”
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Advances and applications of empirical mode decomposition and its variants in hydrology: A review by CHEN Yunfei, LIU Zuyu, LIU Xiuhua, HE Junqi, ZHENG Ce, MA Yandong

“…Additionally, we review the progress of EMD and its variants, particularly in the context of multi-spatiotemporal scale analysis, trend detection, and predictive modeling of hydrological series. …”
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SEMANTICS AND MEANING OF TERMS WITH THE COMPONENT ’RED’ by Velislava Stoykova

“…The theoretical approach of the study involves tracing the semantics and meanings of terms for the color red and terms with the component red using both traditional approaches such as the theory of nomination (by detection of the main semantic component), and modern theories, such as the theory of prototypes (by evaluation of color’s prototypes) in the analysis of the semantics of these terms. …”
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RETRACTED: Simplicial Complex-Enhanced Manifold Embedding of Spatiotemporal Data for Structural Health Monitoring by Nan Xu, Zhiming Zhang, Yongming Liu

“…Conventionally, both data-driven and physics-based models for structural damage detection have relied on handcrafted features, which are susceptible to the practitioner’s expertise and experience in feature selection. …”
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FA-HRNet: A New Fusion Attention Approach for Vegetation Semantic Segmentation and Analysis by Bingnan He, Dongyang Wu, Li Wang, Sheng Xu

“…Traditional machine learning-based methods often struggle to capture deep-level features for the segmentation. This work proposes a novel deep learning network named FA-HRNet that leverages the fusion of attention mechanism and a multi-branch network structure for vegetation detection and segmentation. …”
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Towards edge-collaborative,lightweight and secure region proposal network by Jinbo XIONG, Renwan BI, Qianxin CHEN, Ximeng LIU

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Real-Time Deep Intelligence Analysis and Visualization of COVID-19 Using FCNN Mechanism by Cherukuri Triveni, K. Suvarna Vani, M. Likhitha

“…The Analytic visualization suggests representing knowledge during a visual type that may be charts, graphs, lists, or maps. The COVID 19 detection and analysis of spreading is very important for countries. …”
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Acoustic Rocket Signatures Collected by Smartphones by Sarah K. Popenhagen, Milton A. Garcés

“…The dataset is annotated and made available to the public to aid future analysis of the characteristics and source mechanisms of rocket acoustics as well as applications such as rocket detection and classification models.…”
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Brain computer interface based emotion recognition with error analysis and challenges: an interdisciplinary review by Niharika Gudikandula, Ravichander Janapati, Rakesh Sengupta, Sridhar Chintala

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AI-Powered Vocalization Analysis in Poultry: Systematic Review of Health, Behavior, and Welfare Monitoring by Venkatraman Manikandan, Suresh Neethirajan

“…Artificial intelligence and bioacoustics represent a paradigm shift in non-invasive poultry welfare monitoring through advanced vocalization analysis. This comprehensive systematic review critically examines the transformative evolution from traditional acoustic feature extraction—including Mel-Frequency Cepstral Coefficients (MFCCs), spectral entropy, and spectrograms—to cutting-edge deep learning architectures encompassing Convolutional Neural Networks (CNNs), Long Short-Term Memory (LSTM) networks, attention mechanisms, and groundbreaking self-supervised models such as wav2vec2 and Whisper. …”
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Morphometry in the cytological evaluation of breast lesions and its diagnostic significance by Sujata Jetley, Beenish Bano, Shaan Khetrapal, Safia Rana, Zeeba S. Jairajpuri, Ajay Thakral, Arushi Gupta

“…Nuclear morphometry, an objective tool that supplements cytological analysis, helps minimize subjective variations. Since nuclear structural alterations are key morphological indicators of cancer, nuclear morphometry, supported by image analysis, is crucial in delivering rapid and reproducible assessments. …”
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A survey on deep learning-based lidar place recognition by Weizhong Jiang, Shubin Si, Hanzhang Xue, Yiming Nie, Zhipeng Xiao, Qi Zhu, Liang Xiao

“…LiDAR-based place recognition (LPR) technology processes 3D LiDAR point clouds and encodes them into feature descriptors, enabling mobile robots to recognize previously visited locations. …”
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Deep Residual Transfer Ensemble Model for mRNA Gene-Expression-Based Breast Cancer by Job Prasanth Kumar Chinta Kunta, Vijayalakshmi A. Lepakshi

“…Despite that the biopsy-based histopathological analysis provides easier breast cancer detection, yet the invasive treatment and iterative costs limit its scalability for the masses. …”
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