Diagnosing urban traffic anomalies by integrating geographic knowledge and tensor theory by Zilong Zhao, Luliang Tang, Chang Ren, Xue Yang, Zihan Kan, Qingquan Li

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A metabolic profiling approach to characterize and discriminate plant-based beverages and milk by Gaia Meoni, Ingrid Sousa, Leonardo Tenori, Giovanni Niero, Marta Pozza, Massimo De Marchi, Carmen L. Manuelian

“…ABSTRACT: The rising demand for nondairy and nonanimal protein sources has increased plant-based beverages (PBB) consumption. …”
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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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Diagnostic potential of the B9D2 gene in colorectal cancer based on whole blood gene expression data and machine learning by Zhaorui Wang, Yongcheng Fu, Haozhe Zhang, Na Liu, Ningjing Lei

“…The B9D2 gene, which is essential for ciliary function, has been rarely explored in CRC. This study is the first to investigate the diagnostic potential of B9D2 in CRC, using bioinformatics and machine learning to uncover its novel role in early detection, with implications for clinical translation. …”
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Fluxgate Magnetometers Based on New Physical Principles by Ivan V. Bryakin, Igor V. Bochkarev, Vadim R. Khramshin, Vadim R. Gasiyarov, Ivan N. Erdakov

“…The authors considered a generalized flow of the physical processes in the FM to obtain a detailed representation of the operating functions of the FM. The presented experimental results for the proposed FM in the field meter mode confirm its operating parameters (±40 μT—measurement range, 0.5 nT—detection threshold). …”
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Sequence analysis of tyrosine recombinases allows annotation of mobile genetic elements in prokaryotic genomes by Georgy Smyshlyaev, Alex Bateman, Orsolya Barabas

“…Tyrosine recombinase (YR) proteins drive MGE mobilization and could provide markers for MGE detection, but they constitute a diverse family also involved in housekeeping functions. …”
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A Dataset of Lower Band Whistler Mode Chorus and Exohiss with Instrumental Noise Thresholds by Ondřej Santolík, Ivana Kolmašová, Ulrich Taubenschuss, Miroslav Hanzelka, David P. Hartley

“…We also remove all data points which may be contaminated by instrumental noise using a newly developed method to define detection thresholds as a function of frequency, time, and instrument settings. …”
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Wastewater metagenomics in Africa: Opportunities and challenges. by Stephen Kanyerezi, Fatma Zahra Guerfali, Abbas Abel Anzaku, Oluwasegun Adesina Babaleye, Tracey Calvert-Joshua, Julien Alban Nguinkal, Oluwaseun Paul Amoo, Chiraz Atri, Waqasuddin Khan, Iqra Saleh, M Imran Nisar, Arthur Shem Kasambula, Koketso Morapedi, Gerald Mboowa

“…The advent of metagenomics has dramatically expanded our understanding of microbial communities, particularly through the study of wastewater, which serves as a rich source of microbial data. In Africa, wastewater metagenomics presents unparalleled opportunities for public health monitoring, antimicrobial resistance (AMR) tracking, and the discovery of new microbial species and functions. …”
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The influence of shot noise on the performance of phase singularity-based refractometric sensors by Maslova Valeria, Ermolaev Georgy, Andrianov Evgeny S., Arsenin Aleksey V., Volkov Valentyn S., Baranov Denis G.

“…This raises a natural question: What happens with the sensitivity and resolution of such a sensor when it operates close to a zero of the response function, where the detected signal may be greatly influenced by various noise sources? …”
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Optimised Neural Network Model for Wind Turbine DFIG Converter Fault Diagnosis by Ramesh Kumar Behara, Akshay Kumar Saha

“…VMD’s robustness stems from its ability to decompose a signal into intrinsic mode functions (IMFs) with well-defined centre frequencies and bandwidths. …”
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Provenance-Finding of Dust Storms Using AVHRR Sensor Images of NOAA Satellite (Case Study: Southwest of Iran) by Mohammad Hossein Rezaei Moghaddam, Mojtaba Mahdian Boruojeni

“…Dust pollution of this area drawn to the south of Khuzestan. 4- Conclusion In general, using 24 AVHRR images and the use of detection techniques, a total 62 points were identified as the source of dust production. …”
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RDSM: Underwater multi-AUV relay deployment and selection mechanism in 3D space by Yafei Liu, Na Liu, Hao Li, Yi Jiang, Junwu zhu

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Double-transmitting and Sextuple-receiving Borehole Transient Electromagnetic Method and Experimental Study by Bo Wang, Shengdong Liu, Shining Li, Fubao Zhou

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Development and Optimization of a Novel Deep Learning Model for Diagnosis of Quince Leaf Diseases by A. Naderi Beni, H. Bagherpour, J. Amiri Parian

“…IntroductionDetection of tree leaf diseases plays a crucial role in the horticultural field. …”
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Comparison and Evaluation of Rain Gauge, CMORPH, TRMM PR and GPM DPR KuPR Precipitation Products over South China by Rui Wang, Huiping Li, Hao Huang, Liangliang Li

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Modelling and Forecasting Energy Efficiency Impact on the Human Health by Yuliia Matvieieva, Hedy Ben Hamida

“…In the study framework, the VOSviewer 1.6.18 tools allowed the detection of six clusters of research streams: renewable resources, sustainable development, public, energy policy, energy efficiency, and solar energy. …”
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Analysis of variant interactions in families with autism points to genes involved in the development of the central nervous system. by Jacek Kaczyński, Marta Pasenkiewicz-Gierula

“…The variants were used to build an ASD predictor based on an open-source machine learning library. The predictor correctly classifies over 78% of samples from a test set with an average significance level of 8.9· 10-158. …”
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Optimizing Trade-Offs in Reliability, Security, and Freshness for Integrated Communication, Sensing, and Over-the-Air Computing by Tianyu Ren, Miao Zhang, Fangyu Wang, Kaiyuan Zheng

“…Specifically, considering statistical CSI, the target detection and AirComp aggregation errors are derived, and the upper bound of the security information age violation probability is obtained using stochastic network calculus and moment generating function theory. …”
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Bioactive matters based on natural product for cardiovascular diseases by Linfang Zhong, Xiaoying Tan, Wenhui Yang, Peishan Li, Lianbao Ye, Qi Luo, Honghao Hou

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A Systematic Search for Candidate Supermassive Black Hole Binaries Using Periodic Mid-infrared Light Curves of Active Galactic Nuclei by Di Luo, Ning Jiang, Xin Liu

“…Analyzing a parent sample of 48,932 objects selected from about half a million AGNs, we have identified 28 candidate periodic AGNs with periods ranging from 1268 to 2437 days (in the observer frame), by fitting their WISE light curves with sinusoidal functions. However, our mock simulation of the parent sample indicates that stochastic variability can actually produce a similar number of periodic sources, underscoring the difficulty in robustly identifying real periodic signals with WISE light curves, given their current sampling. …”
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