Technical note: Spectral correction for cavity ring-down isotope analysis of plant and soil waters by G. J. Bowen, S. Banerjee, S. Chakraborty

“…Previous research has characterized this problem and tested a range of solutions for eliminating, detecting, or correcting influence in experimental or natural samples, yet interlaboratory comparisons show that affected data are still being reported. …”
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Combined genome and transcriptome analysis identifies molecular signatures of aortic disease in patients with Marfan syndrome by Katherine B. Stanley, Alexa V. Mederos, Ethan H. Barksdale, Joel S. Corvera, Joshua L. Davis, Fang Fang, Hongyu Gao, Courtney E. Vujakovich, Yunlong Liu, Stephanie M. Ware, Benjamin J. Landis

“…Identifying pathogenic features with transcriptome analysis may guide novel diagnostic and therapeutic strategies.…”
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Comparative analysis of convolutional neural networks and transformer architectures for breast cancer histopathological image classification by Bo Yuan, Yudie Hu, Yan Liang, Yutong Zhu, Lingyu Zhang, Shimin Cai, Rui Peng, Xianbin Wang, Zheng Yang, Jinhui Hu

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LET-SE2-VINS: A Hybrid Optical Flow Framework for Robust Visual–Inertial SLAM by Wei Zhao, Hongyang Sun, Songsong Ma, Haitao Wang

“…The proposed method processes Inertial Measurement Unit (IMU) data and camera data, utilizing pre-integration and RANdom SAmple Consensus (RANSAC) for precise feature matching. Experimental results on the European Robotics Challenges (EuRoc) dataset demonstrate that the proposed hybrid method improves localization accuracy by up to 43.89% compared to the classic VINS-Mono model in sequences with loop closure detection. …”
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Protecting digital assets using an ontology based cyber situational awareness system by Tariq Ammar Almoabady, Yasser Mohammad Alblawi, Ahmad Emad Albalawi, Majed M. Aborokbah, S. Manimurugan, Ahmed Aljuhani, Hussain Aldawood, P. Karthikeyan

“…Together, they form a robust framework for proactive anomaly detection.MethodsThe proposed methodology leverages the Isolation Forest for efficient anomaly identification and autoencoders for feature learning and nonlinear anomaly detection. …”
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Identification of the FGB gene polymorphism and analysis of its association with fat deposition traits in Hu sheep by Lijuan He, Weimin Wang, Xiaojuan Wang, Deyin Zhang, Yukun Zhang, Yuan Zhao, Liming Zhao, Xiaolong Li, Jiangbo Cheng, Dan Xu, Zongwu Ma, Xiaobin Yang, Zhiqiang Huang, Youxin Cai, Xiaoqiang Liu, Zhanyu Chen, Xiuxiu Weng, Changchun Lin, Ping Gong, Xiaoxue Zhang

“…The purpose of this study was to investigate the polymorphisms of the FGB gene related to fat deposition and detect the expression features of the FGB gene in different adipose tissues of sheep by using Sanger sequencing, MassARRAY® SNP technique, and quantitative real-time PCR (qRT-PCR). …”
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Two General Data Protection Regulation (GDPR) Compliant Approaches to Scoring Firm Financial Frailty in Business Litigation by A. E Rodriguez, Gazi Murat Duman, Ron Kuntze

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MMG-Based Motion Segmentation and Recognition of Upper Limb Rehabilitation Using the YOLOv5s-SE by Gangsheng Cao, Shen Jia, Qing Wu, Chunming Xia

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Analysis of association between FGB, MTHFR, MTR and MTRR genes polymorphisms and ischemic and hemorrhagic stroke by V. I. Tsymbaliuk, I. G. Vasylieva, M. R. Kostiuk, N. G. Chopyk, O. S. Galanta, O. I. Tsiubko, N. P. Oleksenko, A. B. Dmytrenko, T. A. Makarova, N. D. Snitzar

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Breast cancer diagnosis using radiomics-guided DL/ML model-systematic review and meta-analysis by Nazmul Ahasan Maruf, Abdullah Basuhail

“…Recent developments in medical imaging and artificial intelligence (AI) have created new opportunities for breast cancer detection and staging. Medical image analysis techniques, including radiomics, machine learning and deep learning, have shown promise for breast cancer detection and stage estimation. …”
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Fault Diagnosis of Rolling Bearing Using Improved Wavelet Threshold Denoising and Fast Spectral Correlation Analysis by Shaoning Tian, Dong Zhen, Junchao Guo, Haiyang Li, Hao Zhang, Fengshou Gu

“…Then, the denoised signal is analysed by Fast-SC to identify the rolling bearing fault features. Finally, simulation analysis and experimental data demonstrate that the proposed approach is effective for rolling bearing fault detection compared with Fast-SC and the combined method based on traditional wavelet threshold and Fast-SC.…”
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An innovative approach to urban parks and perception: a cross-cultural analysis using big and small data by Siqi Lai, Brian Deal

“…LLMs were employed for sentiment analysis and keyword extraction from 62,724 online reviews, enabling the identification of key environmental features influencing visitor satisfaction. …”
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Bagging Vs. Boosting in Ensemble Machine Learning? An Integrated Application to Fraud Risk Analysis in the Insurance Sector by Ruixing Ming, Osama Mohamad, Nisreen Innab, Mohamed Hanafy

“…Our comprehensive analysis reveals that while not every re-sampling technique improves model performance, all feature selection methods markedly bolster predictive accuracy. …”
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Analysis of social networks content to identify fake news using stacked combination of deep neural networks by Yujie Li, Yushui Xiao, Yong Huang, Rui Ma

“…Specifically, a Multilayer Perceptron (MLP) model is used for statistical feature analysis, and Convolutional Neural Network (CNN) models are used for GloVe and CNG features. …”
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Deep Learning Enabled Fault Diagnosis Using Time-Frequency Image Analysis of Rolling Element Bearings by David Verstraete, Andrés Ferrada, Enrique López Droguett, Viviana Meruane, Mohammad Modarres

“…Traditional feature extraction and selection is a labor-intensive process requiring expert knowledge of the relevant features pertinent to the system. …”
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Application Of K-Nearest Neighbor Algoritma for Customer Review Sentiment Analysis at Ngeboel Vapestore Shop by Muhammad Aryanda, Ita Arfyanti, Yulindawati Yulindawati

“…Although Logistic Regression achieved higher accuracy (92.6%), it failed to detect negative sentiment. The findings highlight the potential and limitations of K-NN for sentiment analysis in underexplored MSME contexts like vape retail. …”
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Marine Mammals Classification using Acoustic Binary Patterns by Maheen NADIR, Syed Muhammad ADNAN, Sumair AZIZ, Muhammad Umar KHAN

“…Prior methods for classification focused on spectral features which result in increasing bias for contour base classifiers in automatic detection algorithms. …”
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Analysis of digital intelligent financial audit system based on improved BiLSTM neural network by Zhu Xincai

“…Therefore, in order to achieve intelligent analysis and processing of audit reports, this study innovatively applies the convolution operation of convolutional neural networks to the forward and backward layers of bidirectional long short-term memory networks, obtaining more accurate feature recognition and prediction results. …”
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DIMENSIONS OF LENIENCY POLICIES IN BRICS: A COMPARATIVE ANALYSIS OF INDIA, SOUTH AFRICA, BRAZIL AND RUSSIA by D. Sharma

“…But it is well known that the enforcement mechanisms of laws against cartels differ from country to country, and yet the striking similarity is that almost all competition authorities face the same uphill task of detecting and busting cartels in a manner that leads to efficient and desired prosecution.This paper focuses on an analysis of the newly introduced leniency regulations in India and the parameters of their effectiveness through a comparative analytical study of BRICS leniency regulations, specifically the experiences shared by South Africa, Brazil and Russia in the application of leniency tools and a marker system. …”
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Epidemiology and analysis of SARS-CoV-2 Omicron subvariants BA.1 and 2 in Taiwan by Li-Teh Liu, Shyh-Shin Chiou, Po-Chih Chen, Chun-Hong Chen, Ping-Chang Lin, Ching-Yi Tsai, Wan-Long Chuang, Shang-Jyh Hwang, Inn-Wen Chong, Jih-Jin Tsai

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