Human Action Recognition Based on The Skeletal Pairwise Dissimilarity by E.E. Surkov, O.S. Seredin, A.V. Kopylov

“…A convolutional neural network based on the ResNetV2 with the SE-block is proposed to solve the activity recognition problem. SE-block allows to detect inter-channel dependencies and selecting the most important features. …”
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Real-Time Recognition of Loading Cycles’ Process Based on Electric Mining Shovel Monitoring by Bonan Wang, Yun Duan, Wei Xu

“…The swing angle of the shovel boom and motor operating signals were used as key recognition objects; the waveform features of each stage were extracted as recognition marks in the loading cycle of an electric shovel using the time domain characteristic analysis method. …”
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Integrating Clinical and Transcriptomic Profiles Associated with Vitamin D to Enhance Disease-Free Survival in Cervical Cancer Recurrence Using the CatBoost Algorithm by Geeitha Senthilkumar, Renuka Pitchaimuthu, Seshathiri Dhanasekaran, Prabu Sankar Panneerselvam

“…Machine learning predictors CatBoost, LightGBM, Extra Trees, and Logistic Regression and feature selection methods such as ANOVA F-test, mutual information, Chi-squared test, and Recursive Feature Elimination (RFE) are used to identify predictors of recurrence, evaluating model performance using accuracy, precision, recall, ROC AUC, confusion matrices, and ROC curves. …”
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A Highly Selective and Sensitive Fluorescent Probe With a Large Stokes Shift for Near-Infrared Visualization of Endogenous and Exogenous Biothiols in Living Cells by Xiaomin Li, Rongrong Yuan, Yangmin Ma, Guanglong Li, Siyue Ma

“…Results: Fluorescence spectral analysis confirmed that the DCMOS-N probe exhibits high selectivity and strong anti-interference properties in biothiol detection. …”
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The co-occurrence of tet(X4) and tmexCD2-toprJ2 mediated tigecycline resistance in Raoultella ornithinolytica by Weishuai Zhai, Lu Liu, Jijun Kang, Mengjin Xiao, Yiqing Wang, Yao Wang, Yingbo Shen, Congming Wu, Jianzhong Shen, Yang Wang, Dejun Liu

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Identification and Validation of Key Genes Related to Lipophagy in Osteoporosis by Hu YX, Zuo ML, Wu Y, Yang Y, Shi XB, Zhang Q, Wu J, Xie RQ, Bi Y, Lin B, Mo C

“…Candidate genes associated with lipophagocytosis were identified through differential expression (DE) analysis and weighted gene co-expression network analysis (WGCNA). …”
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Raider of the lost N-glycans – Localizing rare and frequently overlooked IgG N-glycans with sulfation or bisecting LacNAc by Robert Burock, Léa Chuzel, Thilo Kähne, Udo Reichl, Udo Reichl, Erdmann Rapp, Erdmann Rapp, René Hennig

“…However, low-abundant N-glycans with special features, like sulfation or galactosylated bisecting N-acetylglucosamine (GlcNAc), are rarely accounted for due to their challenging detection. …”
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DENOISING RESISTIVITY PHOSPHATE “DISTURBANCES” USING HAAR MOTHER WAVELET TRANSFORM (SIDI CHENNANE, MOROCCO) by Bakkali Saad, Amrani Mahacine

“…In geophysics, the power of wavelets for analysis of non stationary processes that contain multiscale features, detection<br />of singularities, analysis of transient phenomena, fractal and multifractal processes, and signal compression is now being exploited for the study of several processes including resistivity surveys. …”
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CalciumZero: a toolbox for fluorescence calcium imaging on iPSC derived brain organoids by Xiaofu He, Yian Wang, Yutong Gao, Xuchen Wang, Zhixiong Sun, Huixiang Zhu, Kam W. Leong, Bin Xu

“…In addition, it includes supplementary features to statistically evaluate the impact on disease etiology and the detection of drug candidate effects on calcium activities. …”
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A loop-counting method for covariate-corrected low-rank biclustering of gene-expression and genome-wide association study data. by Aaditya V Rangan, Caroline C McGrouther, John Kelsoe, Nicholas Schork, Eli Stahl, Qian Zhu, Arjun Krishnan, Vicky Yao, Olga Troyanskaya, Seda Bilaloglu, Preeti Raghavan, Sarah Bergen, Anders Jureus, Mikael Landen, Bipolar Disorders Working Group of the Psychiatric Genomics Consortium

“…A common goal in data-analysis is to sift through a large data-matrix and detect any significant submatrices (i.e., biclusters) that have a low numerical rank. …”
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Current status and outlook of UWB radar personnel localization for mine rescue by ZHENG Xuezhao, MA Jiawen, HUANG Yuan, LI Qiang, REN Jing, LIU Yu

“…Future research directions of UWB radar personnel localization technology for mine rescue operations are proposed: ① optimizing the UWB radar localization system by constructing cross-modal information fusion models and developing highly adaptive signal processing methods to enhance the system's adaptability to post-mining disaster environments; ② improving the applicability of combined static and dynamic target localization by developing hybrid localization algorithms that integrate Bayesian networks or deep belief networks to fuse static and dynamic target features and establishing state-switching-based comprehensive models; ③ improving UWB radar echo processing algorithms, combining adaptive beamforming technology, Multiple Input Multiple Output (MIMO) technology, and optimized K-means++ or entropy-based hierarchical analysis algorithms, effectively distinguishing multi-target position information, and validating their adaptability and reliability in complex environments through extensive simulation experiments.…”
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Brain Model Based on the Canonical Ensemble with Functional MRI: A Thermodynamic Exploration of the Neural System by Chenxi Zhou, Bin Yang, Wenliang Fan, Wei Li

“…In addition, the thermodynamic properties were extracted as input features for the detection of Alzheimer’s disease. …”
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Comparing The Viral Load of Severe Acute Respiratory Syndrome Coronavirus 2 in Different Human Specimens by Ali Hattem Hussain

“…This meta-analysis study analyzed the data of 47 recent studies with data related SARS-COV-2 viral load detection in different human specimens. 1099 patients were tested for SARS-COV-2 viral load using up to 19 different respiratory and non-respiratory specimens using RT-PCR by targeting different types of viral genes of which ORF1ab is the most commonly used target gene. 9909 specimens were taken from the patients. …”
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Data anomaly repair method based on fuzzy voting and multi-segment interpolation by Yanling Lv, Qingdong Han, Shulei Xue

“…Firstly, an outlier detection method based on fuzzy voting theory is proposed, utilizing multiple anomaly detectors to ensure accurate detection of outliers within voluminous datasets. …”
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Remote Sensing Archaeology of the Xixia Imperial Tombs: Analyzing Burial Landscapes and Geomantic Layouts by Wei Ji, Li Li, Jia Yang, Yuqi Hao, Lei Luo

“…We performed geomorphological analysis of the surrounding environment and automated identification and mapping of burial mounds and mausoleum features using YOLOv5, complemented by manual interpretation of very-high-resolution (VHR) satellite imagery. …”
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A Novel Framework for Road Information Extraction From Low-Cost MMS Point Clouds by Baris Suleymanoglu, Metin Soycan

“…Comparative analysis revealed that the proposed approach outperformed conventional image-based methods, with an average deviation of 2.9 cm from reference data in lane line detection. …”
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Multi-omics profiling of metastatic colorectal cancer reveals the transcriptional network of focal adhesion and immune suppression and the role of p-RPS6 by Yimei Jiang, Zhe Li, Fang Zheng, Wenqing Jia, Zichao Guo, Zhuoqing Xu, Chenhao Huang, Zhiliang Li, Changgang Wang, Kun Liu, Haoran Feng, Ren Zhao, Xi Cheng

“…Mutational burden and signatures were revealed and differentially expressed genes and proteins were analyzed. Molecular Complex Detection was used to build the core network. KEGG and GO pathway enrichment analysis were performed. …”
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Medical Relevancy of Cancer-Related Tweets and Its Relation to Misinformation by Melanie McCord, Fahmida Hamid

“…The highest proportion of correctly identified “medically relevant” tweets, i.e., accuracy, was 0.795. Our analysis hints at some features and factors that can automatically improve cancer-relevant and non-relevant tweet detection.…”
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Construction and validation of HBV-ACLF bacterial infection diagnosis model based on machine learning by Neng Wang, Shuai Tao, Liang Chen

“…Abstract Objective To develop and validate a novel diagnostic model for detecting bacterial infections in patients with hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) using advanced machine learning algorithms. …”
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Automatic melanoma and non-melanoma skin cancer diagnosis using advanced adaptive fine-tuned convolution neural networks by Muhammad Amir Khan, Tehseen Mazhar, Muhammad Danish Ali, Umar Farooq Khattak, Tariq Shahzad, Mamoon M. Saeed, Habib Hamam

“…To capture high-level, global features specific to skin cancer, we replace the fully connected (FC) layers, responsible for encoding such features, with a new FC layer based on principal component analysis (PCA). …”
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