Soil microbial networks’ complexity as a primary driver of multifunctionality in photovoltaic power plants in the northwest region of China by Liuqing Zhao, Sumeng Xu, Sumeng Xu, Jinmei Zhao, Shujuan Chen, Xiaolong Liu, Xiuyuan Zheng, Xiuhui Wang, Zhao Zhu, Fei Gao, Bingzhe Fu, Shuxia Li

“…IntroductionExploiting photovoltaic power generation as a novel source of clean energy has become increasingly common in recent times. …”
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Insights into the Driving Factors of Methane Emission from Double-Season Rice Field Under Different Fertilization Practices in South China by Jin Zheng, Yusheng Lu, Peizhi Xu, Kaizhi Xie, Changmin Zhou, Yaying Li, Haoyang Geng, Qianyuan Wang, Wenjie Gu

“…Paddy fields are the main agricultural source of greenhouse gas methane (CH₄) emissions. …”
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Development of an Efficient and Generalized MTSCAM Model to Predict Liquid Chromatography Retention Times of Organic Compounds by Mengdie Fan, Chenhui Sang, Hua Li, Yue Wei, Bin Zhang, Yang Xing, Jing Zhang, Jie Yin, Wei An, Bing Shao

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A dataset of hidden small non-coding RNA in the testis of heat-stressed models revealed by Pandora-seq by Mailin Gan, Yuhang Lei, Kai Wang, Yan Wang, Tianci Liao, Jianfeng Ma, Li Zhu, Linyuan Shen

“…These datasets will constitute a valuable foundational resource for further investigations into the decline in male reproductive capacity triggered by heat stress.…”
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Programming‐Assisted Imaging of Cellular Nitric Oxide Efflux Gradients and Directionality via Carbon Nanotube Sensors by Ivon Acosta Ramirez, Sruti Das Choudhury, Carley Conover, Omer Sadak, Nicole M. Iverson

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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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Non-convex optimization with using positive-negative moment estimation and its application for skin cancer recognition with a neural network by P.A. Lyakhov, U.A. Lyakhova, R.I. Abdulkadirov

“…Multimodal neural network systems for analyzing heterogeneous dermatological data, using the proposed optimization algorithms, can be applied as a tool for auxiliary medical diagnostics, which will reduce the consumption of financial and labor resources involved in the medical industry, as well as increase the chance of early detection of pigmentary oncopathologies.…”
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3D Seismic Attribute Conditioning Using Multiscale Sheet-Enhancing Filtering by Taiyin Zhao, Yuehua Yue, Tian Chen, Feng Qian

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Ensemble learning driven Kolmogorov-Arnold Networks-based Lung Cancer classification. by Abdul Rahaman Wahab Sait, Eid AlBalawi, Ramprasad Nagaraj

“…Early Lung Cancer (LC) detection is essential for reducing the global mortality rate. …”
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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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A directed greybox fuzzer for windows applications by Xin Ren, Peng-fei Wang, Xu Zhou, Kai Lu

“…Abstract Directed greybox fuzzing (DGF) has proven effective in vulnerability discovery, but most efforts focus on the Linux platform, with substantially less attention devoted to Windows platform due to its closed-source and GUI software nature. This paper proposes WinDGF, a novel directed greybox fuzzer for Windows applications that addresses challenges including target function localization in persistent testing, GUI bypassing, and fitness metric calculation. …”
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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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Identification of hypertension gene expression biomarkers based on the DeepGCFS algorithm. by Zongjin Li, Liqin Tian, Libing Bai, Zeyu Jia, Xiaoming Wu, Changxin Song

“…Gene expression data is an important source for obtaining hypertension biomarkers. However, this data has a small sample size and high feature dimensionality, posing challenges to biomarker identification. …”
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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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Glowing Green: A Quantitative Analysis of Photoluminescence in Six North American Bat Species by Briana J. Roberson, Santiago Perea, Daniel DeRose‐Broeckert, Steven B. Castleberry

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Application and Suggestions of Morpholine Ring as a Lysosome Targeting Group by Xuelian Liu, Ximeng Zhang, Yinghong Han, Xingrui Li, Jinyao Li

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Lactylation: From Homeostasis to Pathological Implications and Therapeutic Strategies by Xi Chen, Yixiao Yuan, Fan Zhou, Lihua Li, Jun Pu, Yong Zeng, Xiulin Jiang

“…Highlighting lactylation's multifaceted roles in health and disease, this review provides a timely resource for understanding its clinical implications, particularly as a novel target for precision medicine in metabolic and oncological therapies.…”
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A Novel Approach to Cognitive Load Measurement in N-Back Tasks Using Wearable Sensors, Empirical Mode Decomposition With Machine Learning, and Explainable AI for Feature Importance by Aakanksha Dayal, Ziaullah Khan, Kiramat Ullah, Hee-Cheol Kim

“…This study introduces a novel approach for detecting mental workload and stress, utilizing ECG and Fingertip-PPG data from the MAUS dataset. …”
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