Harnessing evanescent photoacoustic waves for multi-domain imaging by Rong Zhou, Liying Zhang, Beibei Li, Jingtao Xiao, Yiheng Xing, Chang Chen, Yuecheng Shen, Hao Shen, Deng Pan, Hongxing Xu

“…Leveraging these features, we develop a proof-of-concept for supercritical angle photoacoustic microscopy (SA-PAM), which utilizes evanescent PA waves to enable new PAM functionalities, such as surface topography reconstruction and edge detection. …”
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Effect of Perfluorane on Electric Pulse-Modified Red Blood Cell Membranes by V. V. Moroz, Ye. K. Kozlova, M. S. Bogushevich, P. Yu. Alekseyeva, A. M. Chernysh

“…As a plasma substitute clinical medicine uses perfluorane that is an antishock, antiischemic, and cardioprotective agent having a function of transferring O2 and CO2. The authors have investigated the interaction of perfluorane particles with human erythrocytic membranes. …”
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Unveiling smart contract vulnerabilities: Toward profiling smart contract vulnerabilities using enhanced genetic algorithm and generating benchmark dataset by Sepideh HajiHosseinKhani, Arash Habibi Lashkari, Ali Mizani Oskui

“…Many of them, such as rule-based methods, machine learning techniques, and neural networks, also struggle to detect complex vulnerabilities due to limited data availability. …”
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FAM3C Regulates Glioma Cell Proliferation, Invasion, Apoptosis, and Epithelial Mesenchymal Transition via the Notch Pathway by Xiaochao Xia, Zihao Wang, Lvmeng Song, Yinchuan Cheng, Ping Xiong, Shun Li

“…Methods We utilized open‐source bioinformatics tools and platforms to analyze the transcriptional expression levels, prognosis, and correlation with clinical variables of FAM3C in gliomas, and subsequently, to hypothesize its potential molecular functions and possibly associated signaling pathways. …”
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Impulse Shaping Method Based on Bayesian Deconvolution by JIA Tonghui, LIU Yi, WANG Ming, MA Yingjie, WANG Bo

“…The initial step of this method entailed expressing the measured pulse signal as the convolution of the current impulse pulse signal and the detection system response function. Then, the measured signal was expressed in the continuous time domain and decomposed into the form of an impulse signal and a double exponential kernel convolution by derivation. …”
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Quality and content evaluation of thyroid eye disease treatment information on TikTok and Bilibili by Haisheng Wang, Huahong Zhang, Jiamin Cao, Feng Zhang, Wei Xiong

“…Abstract Thyroid eye disease (TED) is an autoimmune condition that commonly impacts patients’ visual function, appearance, and psychological well-being. …”
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Non-Targeted Lipidomics Analysis of Characteristic Milk Using High-Resolution Mass Spectrometry (UHPLC-HRMS) by Tingting Wei, Tianxiao Zhou, Shenping Zhang, Zhexue Quan, Yang Liu

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Research and application of image recognition-based identification for flesh browning of loquat fruits by CHEN Yujia, DENG Chaojun, ZHANG Tingting, WANG Xiuping, CHEN Xiuping, ZHAO Jianing, MA Cuilan, JIANG Jimou

“…Additionally, the MATLAB ROI function was used to select the irregular representative loquat flesh browning areas, extract the color feature value, and complete the browning area segmentation of the original image by using the Euclidean distance. …”
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Structural Repetition Detector for multi-scale quantitative mapping of molecular complexes through microscopy by Afonso Mendes, Bruno M. Saraiva, Guillaume Jacquemet, João I. Mamede, Christophe Leterrier, Ricardo Henriques

“…Understanding these structures provides insights into their functional roles. While super-resolution microscopy can visualise such patterns, manual detection in large datasets is challenging and biased. …”
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Research on Spread Spectrum Codes Optimized by Sparrow Search Algorithm and Extreme Gradient Boosting by LIANG Zhiru, BIAN Dongming, ZHANG Gengxin

“…To address the problem of low success rate of spread code identification for low signal-to-noise ratio DSSS signals, this paper combines the Third-order Correlation Function (TCF) of <italic>m</italic>-sequences and its peak characteristics to identify the pseudo-code period of DSSS signals as prior information through power spectrum secondary processing on the premise of denoising preprocessing. …”
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AiWatch: A Distributed Video Surveillance System Using Artificial Intelligence and Digital Twins Technologies by Alessio Ferone, Antonio Maratea, Francesco Camastra, Angelo Ciaramella, Antonino Staiano, Marco Lettiero, Angelo Polizio, Francesco Lombardi, Antonio Junior Spoleto

“…Recent advancements in this technology have led to enhanced functionality, remarkable accuracy, and reduced costs for consumers. …”
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Global analysis of CP $$ \mathcal{CP} $$ -violation in atoms, molecules and role of medium-heavy systems by Konstantin Gaul, Robert Berger

“…Abstract Detection of parity P $$ \left(\mathcal{P}\right) $$ and time-reversal T $$ \left(\mathcal{T}\right) $$ symmetry-odd electric dipole moments (EDMs) within currently achievable resolution would evidence physics beyond the Standard Model of particle physics. …”
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Urinary Exosomes by Irena Dimov, Ljubinka Jankovic Velickovic, Vladisav Stefanovic

“…Thus, UE have valuable potential as a source of biomarkers for early detection of various types of diseases, monitoring the disease evolution and/or response to therapy. …”
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Maximum Entropy Principle Based on Bank Customer Account Validation Using the Spark Method by Xiaorong Qiu, Ye Xu, Yingzhong Shi, S. Kannadhasan Deepa, S. Balakumar

“…This research works in the field of money laundering detection from real bank data. Banking data analysis is a complex process that involves information gathered from various sources, mainly in terms of personality, such as bills or bank account transactions which have qualitative characteristics such as the testimony of eyewitnesses. …”
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Sensing the Changes in Stratum Corneum Using Fourier Transform Infrared Microspectroscopy and Hyperspectral Data Processing by Krzysztof Banas, Agnieszka M. Banas, Giorgia Pastorin, Ngai Mun Hong, Shikhar Gupta, Katarzyna Dziedzic-Kocurek, Mark B. H. Breese

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Effective disinfecting of negative pressure pipelines of DCUs reduces the risk of cross infection in dental care by Xuerong Lv, Ke Yan, Xiang Han, Feiyang Wang, Yuzhuo Ma, Shougang Zhang, Xiaoqian Wang

“…Objectives Microbial contamination of various accessory parts of the dental chair units (DCUs) is an essential source of cross infection, while the accessories of the crucial suction function are usually overlooked. …”
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Synergizing Multi-Temporal Remote Sensing and Systemic Resilience for Rainstorm–Flood Risk Zoning in the Northern Qinling Foothills: A Geospatial Modeling Approach by Dong Liu, Jiaqi Zhang, Xin Wang, Jianbing Peng, Rui Wang, Xiaoyan Huang, Denghui Li, Long Shao, Zixuan Hao

“…This framework quantitatively evaluates the nonlinear response mechanisms of town–village systems to flood disasters, emphasizing the synergistic effects of spatial scale, morphology, and functional organization. The proposed framework uniquely integrates three innovative modules: (1) a hybrid risk identification engine combining normalized difference vegetation index (NDVI) temporal anomaly detection and spatiotemporal hotspot analysis; (2) a morpho-functional resilience quantification model featuring a newly developed spatial morphological resilience index (SMRI) that synergizes landscape compactness, land-use diversity, and ecological connectivity through the entropy-weighted analytic hierarchy process (AHP); and (3) a dynamic scenario simulator embedding rainfall projections into a coupled hydrodynamic model. …”
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Development of an Algorithm for Semantic Segmentation of Earth Remote Sensing Data to Determine Phytoplankton Populations by Yu. V. Belova, I. F. Razveeva, E. O. Rakhimbaeva

“…To develop the direction, a new set of information from open sources and synthetic data are proposed. They are aimed at improving the generalization ability of the model. …”
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A Hidden Pulse: Uncovering a New Timing Signal in Cygnus X-1 with AstroSat by Sandeep K. Rout, Federico García, Mariano Méndez, Abhay Kumar, Santosh Vadawale, David M. Russell, Pei Jin

“…In this work, we study the evolution of the timing properties of Cygnus X-1 with AstroSat/LAXPC, during the transition of the source from the hard to soft state in 2017. We use a novel frequency-segmented technique to fit simultaneously the cross spectra and parts of the power spectra and coherence function with a multi-Lorentzian model and predict the phase lags and the complementary parts of the power spectra and coherence function. …”
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Integrating voltammetry and substrate-enhanced luminescence for noninvasive glucose sensing by Gabriel López-Peña, Ana Pallarés Vilar, Aida Jaafar, Silvia Simón-Fuente, Antonio Arranz, Maria Ribagorda, Miguel Manso-Silván, Emma Martín Rodríguez

“…This study presents a novel noninvasive and enzyme-free dual sensor based on porous silicon (PSi) for the detection of D-glucose through tear fluid analysis. …”
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