A Gradient Grating Period Guided-Mode Resonance Spectrometer by Hsin-Yun Hsu, Yi-Hsuan Lan, Cheng-Sheng Huang

“…In this study, a GGP-GMR spectrometer less than 3 mm long that can achieve a wavelength detection range of 200 nm was demonstrated to reconstruct various incident spectra, including a single wavelength of light with a resolution of 0.5 nm, a single wavelength of light with varying intensity levels, and dual incident light sources.…”
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Big data for imaging assessment in glaucoma by Douglas R. da Costa, Felipe A. Medeiros

“…Leveraging vast data sources, these technologies promise to enhance clinical practice and public health outcomes by enabling earlier disease detection, progression forecasting, and deeper understanding of underlying mechanisms. …”
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Audio recognition method of belt conveyor roller fault based on convolutional neural network and linear regression by Xiangyuan CHEN, Wei QIN, Yanchi LIU, Minghua LUO

“…The results show that the detection rate of roller fault reaches 95.79 %, and the detection accuracy reaches 95.60 %.…”
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Towards an RFI Mitigation Algorithm in Synthetic Aperture Interferometer Radiometry: Application to the SMOS Space Mission by Ali Khazaal

“…A recent RFI mitigation algorithm was implemented in the SMOS operational processor, modeling each source as a Dirac delta function whose exact position and intensity are estimated to subtract its contribution from the visibilities. …”
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Multimodal learning for enhanced SPECT/CT imaging in sports injury diagnosis by Zhengzheng Jiang, YaWen Shen

“…IntroductionSingle-photon emission computed tomography/computed tomography (SPECT/CT) imaging plays a critical role in sports injury diagnosis by offering both anatomical and functional insights. However, traditional SPECT/CT techniques often suffer from poor image quality, low spatial resolution, and limited capacity for integrating multiple data sources, which can hinder accurate diagnosis and intervention.MethodsTo address these limitations, this study proposes a novel multimodal learning framework that enhances SPECT/CT imaging through biomechanical data integration and deep learning. …”
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Feature selection using a multi-strategy improved parrot optimization algorithm in software defect prediction by Qi Fei, Guisheng Yin, Zhian Sun

“…Experiments conducted on eight benchmark test functions validate the superior performance of MEPO in terms of convergence speed and solution accuracy. …”
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Sexual dysfunction in anxiety disorders by M. I. Yagubov, I. Yu. Kan, N. V. Dobaeva, I. R. Ayriyants

“…If sexual disorders are detected in patients with anxiety disorders, taking into account the clinical situation, psychotropic drugs with no or minimal negative effect on sexual function are prescribed, if possible. …”
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Collective Mapping of Gas Leakages to Determine Safe Routes Using Multi-Robot System by Ronnier Frates Rohrich, Luis Felipe Messias, Jose Lima, Andre Schneider de Oliveira

“…In this study, robot groups act as multiple composite sensors that can move independently according to their assigned functions. Autonomous detection, collective mapping, and collective decision-making of the robots are behaviors bioinspired by the cognitive mechanisms observed in bacterial colonies. …”
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A Variant Character Dataset for Historical Narratives of Middle and Late Imperial China by Jiwon Lee, Youngim Jung

“…In addition, it can function as a versatile tool for extending such analyses to pre-modern Korean and Japanese historical narratives, which exhibit strong intertextual connections with Chinese historical records.…”
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Nonlinear Damping as the Fourth Dimension in Optical Fiber Anemometry by Jeremiah C. Williams, Hengky Chandrahalim

“…This setup permits precise measurement of gaseous fluid flow with minimal sensor footprint at the point of detection and accommodates a variety of optical sources and measurement apparatuses without the need for specific wavelength or broad‐spectrum capabilities. …”
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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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Research on Multipoint Leak Location of Gas Pipeline Based on Variational Mode Decomposition and Relative Entropy by Yongmei Hao, Zhanghao Du, Juncheng Jiang, ZhiXiang Xing, Xinming Yan, Shuli Wang, Yongchao Rao

“…Pipeline leak detection has always been a relatively difficult technical problem; especially in urban pipeline leak detection, there are still many problems to be solved. …”
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Advanced signal processing algorithm for fault classification and localization in VSC-HVDC based Offshore wind farm by Rehana Perveen

“…This work provides real-time validation on the RTDS platform by the use of S-transform, Ensemble Empirical Mode Decomposition (EEMD), and SVM, for quick and reliable detection of AC/DC faults. Next for classification, features extracted through intrinsic mode function decomposed by EMD and EEMD and classified distinctly using support vector machine techniques. …”
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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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Two rare cases of severe community-acquired bloodstream infections: a clinical case report by Li-Na Meng, Gang Li

“…Detailed medical history inquiries, assessment of underlying immune status, detection of the source of infection, and initial precise identification and treatment of the infectious agents can improve the prognosis of CABSI.Case descriptionIn this paper, two incidences of severe CABSI with insidious onset and rapid progression are described. …”
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pytom-match-pick: A tophat-transform constraint for automated classification in template matching by Marten L. Chaillet, Sander Roet, Remco C. Veltkamp, Friedrich Förster

“…However, TM faces challenges of weak signal of the macromolecules and interfering features with a high signal-to-noise ratio, which are often addressed by time-consuming, subjective manual curation of results. To improve the detection performance we introduce pytom-match-pick, a GPU-accelerated, open-source command line interface for enhanced TM in cryo-ET. …”
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A comparative study of adrenalin and fluocinolon induced oxidative stress in male wistar rats by Erika KIS

“…Treatment with synthetic glucocorticoids as e.g. dexamethasone or dermocorticosteroids and repeated immobilization stress, decreases the total body weight gain of animals by disturbing the HPA axis function and accelerating the catabolism of the organism. …”
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An Improved Fitting Method for Predicting the Zernike Coefficient–Wavelength Curves by Fang Wang, Qiyuan Zhang, Haoyu Wang, Dayong Zhu, Huaikang Zhu, Wenxin Jia, Sen Han

“…Broadband transmitted wavefront measurement is a detection method that uses transmitted wavefronts at a few specific wavelengths though a function of Zernike coefficients and wavelength to predict other transmitted wavefronts at any wavelength within a certain range. …”
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The Role of Rivaroxaban in a Comprehensive Protection Strategy for Patients with Atrial Fibrillation by I. A. Zolotovskaya, V. D. Sabanova, I. L. Davydkin

“…To date, rivaroxaban has a number of convincing and reliable data on a high profile of efficacy and safety in the treatment of comorbid patients who not only have a high risk of stroke, but also need protection from coronary events and decreased renal filtration function. These data are confirmed by both the results of randomized clinical trials and data from real clinical practice. …”
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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 approach will have a mapping from clustering and feature extraction to classification for accurate detection. Based on the analysis and simulation, it is observed that the proposed approach SNN-MFP has 87% accuracy and is 84.71% more functional than the classical method of using only the SNN. …”
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