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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Spatial Pattern and Evolutionary Characteristics of Settlements in Dianchi River Basin from the Perspective of Toponymy by Ying’ao WANG, Weijian HU, Wen PENG, Yuliang YANG

“…By constructing a coupling analysis framework of toponym semantics and spatial attributes, this research confirms the “spatio-temporal code” function of toponym in the process reconstruction of human settlements, and the capability to analyze multi-source heterogeneous data based on the aforesaid function provides a new analytical methodology for the research on watershed human settlements. …”
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Retinal vein occlusion risk prediction without fundus examination using a no-code machine learning tool for tabular data: a nationwide cross-sectional study from South Korea by Na Hyeon Yu, Daeun Shin, Ik Hee Ryu, Tae Keun Yoo, Kyungmin Koh

“…An easy-to-use oversampling function was employed to address class imbalance, enhancing the usability of the workflow. …”
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The classical-to-quantum crossover in the strain-induced ferroelectric transition in SrTiO3 membranes by Jiarui Li, Yonghun Lee, Yongseong Choi, Jong-Woo Kim, Paul Thompson, Kevin J. Crust, Ruijuan Xu, Harold Y. Hwang, Philip J. Ryan, Wei-Sheng Lee

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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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The Roles of Transcrustal Magma- and Fluid-Conducting Faults in the Formation of Mineral Deposits by Farida Issatayeva, Auez Abetov, Gulzada Umirova, Aigerim Abdullina, Zhanibek Mustafin, Oleksii Karpenko

“…At hydrocarbon fields, they play extremely important roles in conductive and convective heat, as well as in mass transfer to the area of hydrocarbon generation, determining the relationship between the processes of lithogenesis and tectogenesis, and activating the generation of hydrocarbons from oil and gas source rock. Detection of TCMFCFs was carried out using MMSS (the method of microseismic sounding) and MTSM (the magnetotelluric sounding method), in combination with other geological and geophysical data. …”
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NORDIC denoising on VASO data by Lasse Knudsen, Lasse Knudsen, Luca Vizioli, Federico De Martino, Lonike K. Faes, Daniel A. Handwerker, Steen Moeller, Peter A. Bandettini, Peter A. Bandettini, Laurentius Huber

“…However, VASO comes along with another reduction in detection sensitivity. NOise Reduction with DIstribution Corrected (NORDIC) PCA (principal component analysis) is a denoising technique specifically aimed at suppressing thermal noise, which has proven useful for increasing the SNR of high-resolution functional data. …”
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Oligosaccharide production using β-galactosidase from Lactobacillus bulgaricus and Kluyveromyces lactis in sweetened reconstituted nonfat dry milk by Giselle K.P. Guron, Arland T. Hotchkiss, Jr., Brittany H. Bodnar, Andrew Harron, John A. Renye, Jr., Michael J. McAnulty

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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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A Benzimidazole-Based Fluorescent Probe for the Selective Recognition of Cobalt (II) Ions by Jing Zhu, Hua-Fen Wang, Jia-Xiang Zhang, Man Wang, Yu-Wei Zhuang, Zhi-Guang Suo, Ye-Wu He, Yan-Chang Zhang, Min Wei, Hai-Yan Zhang

“…However, excessive cobalt intake can cause health issues. Detecting cobalt ions, especially Co²⁺, in food is crucial due to potential contamination from various sources. …”
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Quantifying Streambed Grain Size, Uncertainty, and Hydrobiogeochemical Parameters Using Machine Learning Model YOLO by Yunxiang Chen, Jie Bao, Rongyao Chen, Bing Li, Yuan Yang, Lupita Renteria, Dillman Delgado, Brieanne Forbes, Amy E. Goldman, Manasi Simhan, Morgan E. Barnes, Maggi Laan, Sophia McKever, Z. Jason Hou, Xingyuan Chen, Timothy Scheibe, James Stegen

“…Abstract Streambed grain sizes control river hydro‐biogeochemical (HBGC) processes and functions. However, measuring their quantities, distributions, and uncertainties is challenging due to the diversity and heterogeneity of natural streams. …”
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Genome-wide identification and expression pattern analysis of NAC family in Taxus yunnanensis and the TyuNAC30 role in paclitaxel production by Jiangtao Fan, Yong Wang, Mengke Dou, Qiuhong Hu, Qing Li, Shengmei Gan, Mingwei Jing, Gang Wang, Xiong Huang

“…Yeast one-hybrid and related assays revealed that TyuNAC30 functions as a negative regulator of TyuDBTNBT, a key enzyme gene in the paclitaxel biosynthetic pathway. …”
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Exploration of the interaction between antimicrobial peptides and gamma radiation for biosensor development. by Fabiane Modenese Garbim, Marcela Rabelo De Lima, Giulianna Santos Pereira, João Nilton Conceição Bandeira, Álvaro José Mendes-Boareto, Fernando Manuel Araújo-Moreira, N.F.G. Serrano

“…These findings indicate that, although AMPs demonstrate changes in activity as a function of dose and could be explored for biosensing, their functional stability is limited at higher radiation doses. …”
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An Empirical Framework Characterizing the Metallicity and Star-formation History Dependence of X-Ray Binary Population Formation and Emission in Galaxies by Bret D. Lehmer, Erik B. Monson, Rafael T. Eufrasio, Amirnezam Amiri, Keith Doore, Antara Basu-Zych, Kristen Garofali, Lidia Oskinova, Jeff J. Andrews, Vallia Antoniou, Robel Geda, Jenny E. Greene, Konstantinos Kovlakas, Margaret Lazzarini, Chris T. Richardson

“…We present a new empirical framework modeling the metallicity and star formation history (SFH) dependence of X-ray luminous ( L ≳ 10 ^36 erg s ^−1 ) point-source population X-ray luminosity functions (XLFs) in normal galaxies. …”
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REVISITING THE ORGANIZATION OF A CLINICAL (MEDICAL) PSYCHOLOGIST WORK AT THE FIRST STAGE OF MEDICAL REHABILITATION IN THE CONDITIONS OF THE INTENSIVE CARE UNIT (ICU) BY THE EXAMPLE... by Алена Валентиновна Слекишина, Марина Григорьевна Жестикова, Светлана Станиславовна Зиборова

“…There is currently a pressing need to devise a way of neurophycological diagnostics of higher mental functions which would allow to detect cognitive impairment in patients in the ICU during the first stages of medical rehabilitation taking into account working hours constraints.…”
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Feature Extraction and Classification of Power Quality Disturbances Using Optimized Tunable-Q Wavelet Transform and Incremental Support Vector Machine by Indu Sekhar Samanta, Pravat Kumar Rout, Kunjabihari Swain, Satyasis Mishra, Murthy Cherukuri

“…The widespread integration of renewable energy sources (RESs) into power systems using power electronics-based interface devices has led to a substantial rise in power quality (PQ) issues. …”
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Fatty acid composition and antioxidant capacity of defatted, non-defatted and oils extracts of Quercus ilex fruit from Algeria by Hadjira Guenane, Boulanouar Bakchiche, Ramazan Erenler, Ilyas Yildiz, Omar M. Khalaf, Amal M. Saad, Mosad A. Ghareeb

“…Background The nutritional value and health-promoting properties cause the fruits (acorns) of Quercus ilex to have great potential for use in the food industry as functional ingredients and antioxidants source. Objective In this study, the amount of total phenolic compounds, flavonoids in different extracts (defatted, non-defatted) and composition of fatty acids in the fruits oils of Quercus ilex were investigated. …”
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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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Optimizing extraction of microbial DNA from urine: Advancing urinary microbiome research in bladder cancer by Chuang-Ming Zheng, Ho Won Kang, Seongmin Moon, Young Joon Byun, Won Tae Kim, Yung Hyun Choi, Sung-Kwon Moon, Xuan-Mei Piao, Seok Joong Yun

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Numerical analysis of spectroscopic studies using supercontinuum generated by noise-like pulses by Christian A. Salcedo-Rodriguez, Eloisa Gallegos-Arellano, Julian M. Estudillo-Ayala, Juan M. Sierra-Hernandez, Jose D. Filoteo-Razo, Maximino R. Tapia-Garcia, Daniel A. Ramos-Gonzalez, Roberto Rojas-Laguna, Juan C. Hernandez-Garcia

“…Simulations were also performed for CH4, showing a visible absorption spectrum, thereby substantiating that these sources powered by NLPs can detect various gases with a high degree of selectivity.…”
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