The effects of two combined methods of P53 expression and preoperative serum CEA detection on the prognosis of colorectal cancer by Guojun Tong, Guojun Tong, Yanyan Wang, Hai Qian, Zhenhua Tan, Yan Shen, Hui Li

“…Clinicopathologic features were analyzed by P53, S-CEA, Combined P53, and Recombined P53. …”
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Assessing Milk Authenticity Using Protein and Peptide Biomarkers: A Decade of Progress in Species Differentiation and Fraud Detection by Achilleas Karamoutsios, Pelagia Lekka, Chrysoula Chrysa Voidarou, Marilena Dasenaki, Nikolaos S. Thomaidis, Ioannis Skoufos, Athina Tzora

“…Multivariate techniques, such as principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA), are frequently employed to extract discriminatory features and model adulteration scenarios. …”
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Vision Transformer-Based Unhealthy Tree Crown Detection in Mixed Northeastern US Forests and Evaluation of Annotation Uncertainty by Durga Joshi, Chandi Witharana

“…Forest health monitoring at scale requires high-spatial-resolution remote sensing images coupled with deep learning image analysis methods. However, high-quality large-scale datasets are costly to acquire. …”
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Hilbert–Huang transform and spectrum-weighted reconstruction integration for millimeter wave radar-based heart rate detection by Hao CUI, Luyao LIU, Hao CHEN, Wendong XIAO

“…In the HR signal reconstruction strategy, we first use HHT for high-resolution time-frequency localization analysis, capturing transient features and variations in nonstationary and nonlinear signals such as those of heartbeats. …”
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Deep Learning-Enhanced Portable Chemiluminescence Biosensor: 3D-Printed, Smartphone-Integrated Platform for Glucose Detection by Chirag M. Singhal, Vani Kaushik, Abhijeet Awasthi, Jitendra B. Zalke, Sangeeta Palekar, Prakash Rewatkar, Sanjeet Kumar Srivastava, Madhusudan B. Kulkarni, Manish L. Bhaiyya

“…A novel, portable chemiluminescence (CL) sensing platform powered by deep learning and smartphone integration has been developed for cost-effective and selective glucose detection. This platform features low-cost, wax-printed micro-pads (WPµ-pads) on paper-based substrates used to construct a miniaturized CL sensor. …”
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Methodology for detecting anomalies in cyber attack assessment data using Random Forest and Gradient Boosting in machine learning by A. S. Kechedzhiev, O. L. Tsvetkova, A. I. Dubrovina

“…The work done is the result of a comprehensive analysis of a machine learning model designed to detect cyberattacks. …”
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IDENTIFICATION OF CANNABIMIMETIC MDMB(N)-073F METABOLITES IN URINE BY METHOD OF GAS CHROMATOGRAPHY WITH MASS SPECTROMETRIC DETECTION by S. S. Kataev, O. N. Dvorskaya, M. A. Gofenberg

“…Gas chromatography – mass spectrometry with the use of Agilent 7820 gas chromatograph with Agilent 5975 mass selective detector (Agilent, USA) was used as an instrumental method of the analysis.Results. The metabolites that make it possible to establish the fact of taking MDMB(N)-073F cannabimimetics via urine screening procedure to detect the presence of narcotic and medicinal substances with the use of solid-phase extraction and gas chromatography methods with mass spectrometry, have been described. …”
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TransLIBS-CRS: Integrating LIBS with transfer learning for accurate cross-regional soil total nitrogen detection by Peng Lin, Shixiang Ma, Zhizheng Shi, Peiying Li, Leizi Jiao, Hongwu Tian, Zhen Xing, Chunjiang Zhao, Daming Dong

“…In the task of predicting TN in Guangzhou using the Beijing dataset, the TransLIBS-CRS model achieved optimal performance, with RV2 of 0.846 and RMSEV- of 0.814 g/kg. Further analysis through saliency map and chemometric methods revealed that spectral lines of carbon at 193.0 nm and 247.8 nm play a key role in the quantitative detection of TN. …”
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Detection of inversion with breakpoints in ARSB causing MPS VI by whole-genome sequencing: lessons learned and best practices by Yufeng Huang, Wenyue Deng, Hui Huang, Xiankai Zhang, Xiaohong Chen, Jian Ye, Sukun Luo, Ting Yu, Hui Yao, Hao Du, Xuelian He

“…Usually, whole exome sequencing (WES) can identify these variants, and if WES failed to detect causative variants, whole-genome sequencing (WGS) may be considered to investigate deep intronic variations and structural alterations in patients.MethodsWhole-exome sequencing (WES) and whole genome sequencing (WGS) were performed in a Chinese family having a boy with suspected diagnosis of MPS with macrocephaly, coarse facial features, broad forehead, thick lips, frontal bossing, craniosynostosis, blue spots, frequent upper respiratory infections, inguinal hernia, and dysostosis multiplex. …”
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Early detection of left fallopian tube carcinosarcoma by transvaginal sonography: a case report and review of diagnostic challenges by Junjie Chang, Wenjun Zhang, Hua Wang, Xin Song, Dan Yu

“…Immunohistochemical analysis revealed a biphasic tumor with strong P53 positivity and a high Ki-67 index (80%), indicative of its aggressive nature. …”
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Attention-Based Dual-Knowledge Distillation for Alzheimer’s Disease Stage Detection Using MRI Scans by Chandita Barman, Sudhanshu Singh, Manob Jyoti Saikia, Shovan Barma

“…This study presents an efficient attention-guided dual-knowledge distillation (D-KD) framework for classifying Alzheimer’s disease (AD) stages using magnetic resonance imaging (MRI) scans based on detection of the subtle anatomical differences. Current challenges involve identifying precise discriminating features in low computational complexity without compromising classification accuracy. …”
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Deep convolutional neural network (DCNN)-based model for pneumonia detection using chest x-ray images by S. I. Ele, U. R. Alo, H. F. Nweke, A. H. Okemiri, E. O. Uche-Nwachi

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Application and evaluation of a rapid detection method based on two-dimensional PCR technology for hypervirulent Klebsiella pneumoniae by Wenwen Zhu, Yiting Wang, Xin Jiang, Yan Zhao

“…The analysis revealed a sensitivity of 100.0% and a specificity of 96.2% when compared to conventional PCR.ConclusionA 2D-PCR-based multiplex method for virulence genes of hvKp was successfully developed, demonstrating its outstanding features of high specificity, high sensitivity, and high throughput capability. …”
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An islanding detection method for grid-connect inverter based on parameter optimized variational mode decomposition and deep learning by Yan Xia, Yan Xia, Yuli Lv, Feihong Yu, Yiqiang Yang, Yili Yang, Wei Li, Ke Li

“…The rapid and effective islanding detection and disconnection of the microgrid are significant for preventing equipment from failure and safeguarding humanity’s safety. …”
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A method for detection of functional deficiencies due to unilateral vestibular impairment using the TUG test and IMU sensors by Marek Kamiński, Rafał Kotas, Wojciech Tylman, Magdalena Janc, Ewa Zamysłowska-Szmytke, Magdalena Józefowicz-Korczyńska

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DETECTION AND CLASSIFICATION OF VEGETATION AREAS FROM RED AND NEAR INFRARED BANDS OF LANDSAT-8 OPTICAL SATELLITE IMAGE by Anusha NALLAPAREDDY

“…The NDVI and SAVI are utilized to extract vegetation features automatically by using python language. Finally by establishing a threshold, vegetation cover of the research area is detected and then classified. …”
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Anterior cruciate ligament tear detection based on Res2Net modified by improved Lévy flight distribution by Peiji Yang, Yanan Liu, Fei Liu, Mingxia Han, Yadegar Abdi

“…This study introduces a new diagnostic approach by combining of the deep learning architecture Res2Net with an improved version of the Lévy flight distribution (ILFD) to improve the detection of ACL tears in knee MRI images. The Res2Net model is known for its ability to extract important features and classify them effectively. …”
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Eosinophilic Cells as a Distinct Morphological Feature in <i>BRAF^V600E</i>-Mutated Ovarian Serous Borderline Tumors by Alina Badlaeva, Anna Tregubova, Aleksandra Asaturova, Gennady Sukhikh

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EEG-Based Seizure Detection Using Dual-Branch CNN-ViT Network Integrating Phase and Power Spectrograms by Zhuohan Wang, Yaoqi Hu, Qingyue Xin, Guanghao Jin, Yazhou Zhao, Weidong Zhou, Guoyang Liu

“…Although significant progress has been made in epileptic seizure detection methods using time–frequency analysis, current research still faces challenges in terms of an insufficient utilization of phase information. …”
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A new approach of anomaly detection in shopping center surveillance videos for theft prevention based on RLCNN model by Muhammad Sajid, Ali Haider Khan, Kaleem Razzaq Malik, Javed Ali Khan, Ayed Alwadain

“…The amount of video data produced daily by today’s surveillance systems is enormous, making analysis difficult for computer vision specialists. …”
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