21 Balmer Jump Street: The Nebular Continuum at High Redshift and Implications for the Bright Galaxy Problem, UV Continuum Slopes, and Early Stellar Populations by Harley Katz, Alex J. Cameron, Aayush Saxena, Laia Barrufet, Nichloas Choustikov, Nikko J. Cleri, Anna de Graff, Richard S. Ellis, Robert A.E. Fosbury, Kasper E. Heintz, Michael Maseda, Jorryt Matthee, Ian McConachie, Pascal A. Oesch

“…Second, we present a dataset of 58 galaxies observed with NIRSpec on JWST at $2.5<z<9.0$ that are selected to have strong nebular continuum emission via the detection of the Balmer jump. …”
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Thermal Characteristics Testing and Analysis of Dry Gear Hobbing Machine on Multivariate Information Fusion by Peng Shengdi, Yang Xiao, Li Benjie, He Lang, Zhang Zhili

“…Through the selection of hardware for the lower computer, the development of software functions for the upper computer, and the integration of test functions, the multi-source fusion test method for the thermal characteristics of dry-cutting and hobbing machine was constructed. …”
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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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Making Blind Robots See: The Synergy Between Fluorescent Dyes and Imaging Devices in Automated Proteomics by Wayne F. Patton

“…Since rare proteins cannot be amplified by any type of PCR method, sensitive detection is critical to proteome projects. Fluorescence methods deliver streamlined detection protocols, superior detection sensitivity, broad linear dynamic range and excellent compatibility with modern microchemical identification methods such as mass spectrometry. …”
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Thermal characteristics testing and analysis of dry gear hobbing machines on multivariate information fusion by PENG Shengdi, YANG Xiao, LI Benjie, HE Lang, ZHANG Zhili

“…Through the selection of hardware for the lower computer, the development of software functions for the upper computer, and the integration of test functions, the multi-source information fusion test method for the thermal characteristics of dry gear hobbing machine was constructed. …”
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Antibiotics and Antimicrobial Resistance Genes in a Gut Microbiota as a Reservoir—A Review by Bismark Dabuo, Abudu Abubakari, Frances Ellen Sankah, Hannah Aryeley Aryee

“…This emphasizes how important it is that we understand how the human body functions on the inside as well as the outside sources of infections. …”
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Significance of the pineal gland hormone melatonin in maintaining the health of women of reproductive age (a review) by M. V. Danilova, E. N. Usoltseva

“…In our search, we prioritized the free access to full text articles. The selection of sources was limited to the period from 2012 to 2019.Results. …”
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Investigation of the Impact of Light Colour on Surface Colour Perception: A Case Study on Red Surfaces by Havva Gül Sümer, Leyla Dokuzer Öztürk

“…These results offer valuable insights for the selection of suitable light sources not only for art exhibition spaces but also for other environments featuring colourful objects. …”
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Urban Hierarchy Migration Model and Impact Mechanism of Graduates Admitted to the Guangdong Provincial Civil Service Examination by Wu Jinghao, Liu Ye, Tang Honglin

“…The decision-making and selection process in the selection mechanism for the migration mode of newly recruited graduates in the civil service examination is complex and dynamic, involving the interaction of multiple factors, such as government policy guidance, job characteristics, personal factors, and urban conditions, with objective limitations, personal abilities and resources, and subjective willingness. …”
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The Intelligent Infectious Disease Active Surveillance and early warning system in China: An application of dengue prevention and control by Liangyu Kang, Jian Hu, Kangning Cai, Wenzhan Jing, Min Liu, Wannian Liang

“…Firstly, the system can proactively capture and integrate heterogeneous surveillance data from multiple sources. Based on these multi-channel data, users can select appropriate warning indicators and AI models to automatically trigger early warnings. …”
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Accelerated Modeling of Transients in Electromagnetic Devices Based on Magnetoelectric Substitution Circuits by Sergii Tykhovod, Ihor Orlovskyi

“…The purpose of the work: The objective of this work is to develop a highly effective method for calculating electromagnetic transient processes in a coil with a ferromagnetic magnetic core connected to a voltage source. The method involves the use of nonlinear magnetoelectric substitution circuits for electromagnetic devices and a spectral method for representing solution functions using orthogonal polynomials. …”
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Radar Echo Extrapolation Based on Translator Coding and Decoding Conditional Generation Adversarial Network by Xingang Mou, Yuan He, Wenfeng Li, Xiao Zhou

“…Experimental findings derived from the standard radar echo dataset (SRAD) reveal that the proposed radar echo extrapolation technique exhibits superior performance, with average critical success index (CSI) and probability of detection (POD) metrics per frame increasing by 6.9% and 7.6%, respectively, in comparison to prior methodologies.…”
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GENERATION AND COLLECTION OF TOBACCO AEROSOL FOR SHISHA by N. N. Bubnova, M. V. Shkidyuk

“…Qualitative characteristics of tobacco aerosol for shisha are determined by the functional purpose and depend on the component composition of the tobacco mixture and the coal used.The purpose of the research is to develop a methodology for the comprehensive assessment of tobacco for shisha based on modern methods of product quality control and includes the following steps:- monitoring of the studies to determine the component composition of the hookah mixture and the aerosol produced;- analysis of hookah mixture testing modes and development of an aerosol generation protocol;- development of a method for collecting aerosol on a laboratory smoking machine; - quantitative analysis of toxic analytes by HPLC MS / MS method.Methods have been developed for the machine generation and collection of tobacco aerosol for hookah, taking into account low concentrations of the analyzed toxic substances.The expediency of using the HPLC MS / MS method to determine the quantity of the following substances in tobacco aerosol for shisha has been substantiated:- carbonyl compounds (formaldehyde, acetaldehyde, acrolein) by detection on an electrospray source in the negative polarity mode- tobacco specific nitrosoamines (NNN and NNK) by detection on an electrospray source in the positive polarity mode.During the research laboratory and analytical equipment was used: a five-channel linear CERULEAN SM 405 smoking machine; Thermo Scientific Dionex UltiMate 3000 liquid chromatograph and TSQ Quantiva mass spectrometer.Obtaining experimental data on the quantitative determination of the component composition of the aerosol produced by tobacco for shisha using hookah systems is relevant for assessing toxic characteristics of the product.…”
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Solar‐Powered Hierarchical Microenvironments with Authigenic Multi‐Field Synergies for Simultaneous Extraction of Freshwater and Cesium by Liuyan Zhu, Lin Zhu, Ting Shi, Ke Zhao, Wenwen He, Lu Han, Zeying Jin, Jialin Kang, Shanfu Sun, Ningning Cao, Zhen Yu

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Microparticles That Form Immune Complexes as Modulatory Structures in Autoimmune Responses by Catalina Burbano, Mauricio Rojas, Gloria Vásquez, Diana Castaño

“…Initially MPs were considered to be inert cellular products with no biological function. However, an extensive research and functional characterization have shown that the molecular composition and the effects of MPs depend upon the cellular background and the mechanism inducing them. …”
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Performance Analysis of Reconfigurable Intelligent Surface-Assisted Underwater Wireless Optical Communication Systems by Qi Zhang, Dian-Wu Yue, Xian-Ying Xu

“…In the RIS-assisted UWOC systems with intensity modulation and direct detection (IM-DD), we apply the approximate distribution of the sum of Gamma-Gamma random variables to derive the probability density function (PDF) of the instantaneous received signal-to-noise ratio (SNR) for the first time. …”
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Retracted: Wuju Opera Cultural Creative Products and Research on Visual Image Under VR Technology by Yahong Wang, Xiaobing Hu

“…The VR-Platform platform is used to establish a virtual three-dimensional landscape planning scene, and the roaming function can be realized by making cameras and adding collision detection. …”
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The Propagation Properties of a Longitudinal Orbital Angular Momentum Multiplexing System in Atmospheric Turbulence by Qinghua Tian, Lei Zhu, Yongjun Wang, Qi Zhang, Bo Liu, Xiangjun Xin

“…The influences of system parameters on the average OAM mode probability densities are analyzed and discussed, such as propagation distance, strength of turbulence, sizes of finite aperture function, OAM mode numbers, and source parameters. …”
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Phase reconstruction via metasurface-integrated quantum analog operation by Qiuying Li, Minggui Liang, Shuoqing Liu, Jiawei Liu, Shizhen Chen, Shuangchun Wen, Hailu Luo

“…Besides, the consistency of entangled photon pairs in time domain makes it possible to achieve a high SNR imaging by trigger detection. The results may potentially empower the application of metasurfaces in optical chip, wave function reconstruction, and label-free biology imaging.…”
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Identification of multiple power quality disturbances in hybrid microgrid using deep stacked auto-encoder based bi-directional LSTM classifier by Ravi Kumar Jalli, Lipsa Priyadarshini, P.K. Dash, Ranjeeta Bisoi

“…Thus to design an effective PQD recognition system, this paper proposes a novel time-frequency analysis method based on adaptively fast complementary ensemble local mean decomposition (AFCELMD) technique that decomposes the multicomponent PQD signal into a series of demodulated product functions (PFs). Out of the several PFs the most sensitive one is selected adaptively and used for feature extraction and classification through a deep stacked auto-encoder (dSAE) hybridized with a time-recursive bi-directional long short term memory (BiLSTM) network classifier. …”
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