Urban Traffic State Sensing and Analysis Based on ETC Data: A Survey by Yizhe Wang, Ruifa Luo, Xiaoguang Yang

“…This paper reviews the research status, key technologies, and development trends of urban traffic state sensing and analysis technologies based on ETC data. In terms of technological development, ETC systems have evolved from simple toll collection tools to comprehensive traffic management platforms, featuring unique advantages such as accurate vehicle identification, extensive spatiotemporal coverage, and stable data quality. …”
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Clinical and pathogenic bacteria analysis of 1003 children with urinary tract infection in Wuxi by YAO Yao, ZHAO Li-ping, ZHOU Hong-xia, GE Ting-ting, ZHANG Lin, LIU Yu-li, ZHU Guo-qin, XU Jin-wen, LIU Xun-wei, WU Qing, CHENG Yun, YANG Ling-yun, AN Na, GE Ling-qing

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Molecular heterogeneity and analysis of the long-term survival of patients with gastrointestinal stromal tumors by N. N. Mazurenko, V. V. Yugay, I. V. Tsyganova, M. P. Nikulin, P. P. Arkhiri, O. A. Anurova, N. A. Kozlov, I. S. Stilidi

“…SDH-deficient GISTs were detected using IHC-analysis of SDHB expression.Results. …”
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Voice as a biomarker: exploratory analysis for benign and malignant vocal fold lesions by Phillip Jenkins, Rylan Harrison, Steven Bedrick, Lisa Karstens, Bridge2AI-Voice Consortium, William Hersh, Yael Bensoussan, Olivier Elemento, Anais Rameau, Alexandros Sigaras, Satrajit Ghosh, Maria Powell, Vardit Ravitsky, Jean Christophe Belisle-Pipon, David Dorr, Phillip Payne, Alistair Johnson, Ruth Bahr, Donald Bolser, Frank Rudzicz, Jordan Lerner-Ellis, Kathy Jenkins, Shaheen Awan, Micah Boyer, William Hersh, Andrea Krussel, Steven Bedrick, Toufeeq Ahmed Syed, Jamie Toghranegar, James Anibal, Duncan Sutherland, Enrique Diaz-Ocampo, Elizabeth Silberhoz, John Costello, Alexander Gelbard, Kimberly Vinson, Tempestt Neal, Lochana Jayachandran, Evan Ng, Selina Casalino, Yassmeen Abdel-Aty, Karim Hanna, Theresa Zesiewicz, Elijah Moothedan, Emily Evangelista, Samantha Salvi Cruz, Robin Zhao, Mohamed Ebraheem, Karlee Newberry, Iris De Santiago, Ellie Eiseman, JM Rahman, Stacy Jo, Anna Goldenberg

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Retrospective analysis of the frequency and characteristics of gastroesophageal reflux disease in children for 20 years by H.V. Beketova, О.О. Moshchych, K.H. Pogorielova, L.I. Kobylynska

“…Conclusions. A retrospective analysis of data on the frequency, duration, and characteristics of GERD in children for 20 years revealed negative trends regarding an increase in frequency and more severe course, which requires further studying the dynamics of these indicators for early detection, timely treatment of the disease, and prevention of its complications.…”
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Data-driven structural damage monitoring and assessment based on unmanned aerial vehicle images: a survey by Zhuoyue Yang, Yuxin Xu, Hao Song, Kang Yu

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Comparative analysis of the bacterial spectrum in chronic dacryocystitis between northern and southern China by DONG Xinran, HU Yu, ZHENG Xinyu, CAO Shujuan, YU Xinyue, JIANG Aixin, MENG Ziwei, CHEN Rongxin, LIANG Xuanwei

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Enhanced cancer cell sorting using lab-on-a-disk pattern design with magnetic and centrifugal forces by Bill Cheng, Wei-Cheng Chao, Yi-Han Chen, Yao-Tsung Lin

“…The design of the detection device and lab-on-a-disk (LoaD) can impact performance in accurately identifying biological features. …”
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Enhanced residual attention-based subject-specific network (ErAS-Net): facial expression-based pain classification with multiple attention mechanisms by Mahdi Morsali, Aboozar Ghaffari

“…Abstract The automatic detection of pain through the analysis of facial expressions is indeed one of the most critical challenges in the healthcare system. …”
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Securing face images in UAV networks using chaos and DNA cryptography approach by Saba Inam, Shamsa Kanwal, Eaman Amin, Omar Cheikhrouhou, Monia Hamdi

“…First, edge recognition face detection technology is employed to detect facial features, with the corresponding matrix selected for encryption. …”
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Pest classification: Explainable few-shot learning vs. convolutional neural networks vs. transfer learning by Nitiyaa Ragu, Jason Teo

“…Accurate and automated detection of crop insect pests is crucial for effective pest control and optimal utilization of agricultural resources. …”
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Advances in weed identification using hyperspectral imaging: A comprehensive review of platform sensors and deep learning techniques by Bright Mensah, Nitin Rai, Kelvin Betitame, Xin Sun

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Out-of-Roundness Wheel Damage Identification in Railway Vehicles Using AutoEncoder Models by Renato Melo, Rafaelle Finotti, António Guedes, Vítor Gonçalves, Andreia Meixedo, Diogo Ribeiro, Flávio Barbosa, Alexandre Cury

“…This study presents a comparative analysis of three AutoEncoder (AE) models—Variational AutoEncoder (VAE), Sparse AutoEncoder (SAE), and Convolutional AutoEncoder (CAE)—to detect and quantify structural anomalies in railway vehicle wheels, such as polygonization. …”
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Development and evaluation of a sensor enabled smart herbicide applicator for inter row crops by Pankaj Malkani, Indra Mani, Pramod Kumar Sahoo, Roaf Ahmad Parray, Sidhartha Sekhar Swain, Asha K．R．, Dharmender, Manojit Chowdhury, Sunil Kumar Rathod, Wahidah H․ Al-Qahtani, Ali Salem, Ahmed Elbeltagi, Abdallah Elshawadfy Elwakeel

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EXPRESSIVENESS OF NEGATIVE CONSTRUCTIONS IN AGATHA CHRISTIE’S NOVEL “THE PALE HORSE” by Myroslava I. Venhryniuk

“…The article uses the following research methods: descriptive, which revealed the features of the expressive potential of negative constructions in a detective fiction, and methods of contextual and oppositional analysis, which were aimed at role revealing of negative constructions in the formation of value and emotion in the text. …”
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Cluster-driven non-uniform characteristic analysis of underwater target acoustic scattering field by Tianyang Xu, Hongjian Jia, Jixing Qin

“…Finally, the implicit angular relationship between echo features is extracted under unsupervised conditions by cluster analysis. …”
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Fault Diagnosis of Industrial Process Based on FDKICA-PCA by ZHANG Jing, ZHU Fei-fei, LIU Jia-xing, WANG Jiang-tao

“…Because the dynamic characteristics of autocorrelation and lag correlation in production process are neglected in fault diagnosis,Kernel Independent Component AnalysisPrincipal Component Analysis (KICAPCA) is very poor in detecting small and gradual faults because of lacking available variable contribution analysis.In this paper, a dynamic kernel independent component analysis (KICAPCA) fault diagnosis method based on wavelet packet filtering is proposed.This method integrates wavelet packet filtering theory and AR model prediction data characteristics into KICAPCA to extract the feature information of process variable autocorrelation and lagrelated .In this paper, KICAPCA algorithm is used to extract the independent components and principal components of process variables to determine the control limits of three monitoring indicators T2, SPE,I2.Nonlinear contribution graph is used for fault diagnosis, and the advantage of FDKICAPCA method is verified by simulation results of Tennessee process.…”
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The analysis of acquisition system for electronic traffic signal in smart cities based on the internet of things by Yue Ma, Chenglong Wang, Tianlei Fu, Ziting Meng

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Lost in Text: A Cross-Genre Analysis of Linguistic Phenomena within Text by Chiara Buongiovanni, Francesco Gracci, Dominique Brunato, Felice Dell’Orletta

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MalFormer: A Novel Vision Transformer Model for Robust Malware Analysis by In-Woong Jeong, Han-Ju Lee, Gwang-Nam Kim, Seok-Hwan Choi

“…As traditional signature-based malware analysis struggles to detect malware variants, image-based malware analysis has been researched to overcome these limitations. …”
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