Fold-Related Faults Track Progressive Fold Development from Layer-Parallel Shortening to Subsequent Orthogonal Extension within an Appalachian Buckle Fold System: Bear Valley Mine,... by Arlo Brandon Weil, Mary Beth Gray, Kylie G. Cush, Mattathias D. Needle, Juliet G. Crider

“…Outstanding three-dimensional exposures of adjacent folds in an abandoned coal mine within the Appalachian Valley-and-Ridge tectonic province permit a detailed analysis of macroscopic strain accommodation by minor faulting in the lead up to and during buckle folding. …”
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The Effect of Interlayer on Water Cut Rise in a Bottom Water Reservoir by Yunpeng Hu, Xiaoling Zhang, Wei Ding, Ziyun Cheng, Liangchao Qu, Penghui Su, Chunliu Sun, Wenqi Zhang

“…The closer the interlayer is to the oil-water interface, the faster the water cut will rise; the narrower the interlayer is, the faster the bottom water ridge will advance; when the width of the interlayer is the same as that of the reservoir, the water cone will not appear; the higher the permeability of the interlayer is, the faster the upper body of the water cut will be; when the permeability of the reservoir and the interlayer is over 1000, the influence of the interlayer on the water cut rise is not obvious; the thickness of the interlayer on the water cut rise law has little effect. …”
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Real‐World Prevalence, Treatment Patterns, and Outcomes for Patients With HER2 (ERBB2)‐Mutant Metastatic Non‐Small Cell Lung Cancer, From a US‐Based Clinico‐Genomic Database... by Sarah Waliany, Misako Nagasaka, Leah Park, Clara Lam, Zoe Jiang, Feng Lin, Joel W. Neal

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The effect of variable light intensity in luminescent-netting pots on the catch of snow crab (Chionoecetes opilio) by Colin C.H. Frank, Shannon M. Bayse

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Risk Probability Assessment of Annual Extreme Precipitation in Fujian by Yang Xinyu, Zhang Rongyan, Xu Hong, Wu Dixi

“…These areas include the main ridge of the Wuyi Mountains, eastern slopes of the Jiufeng Mountains, the Min River Basin, the lower reaches of the Jiulong River, the Ting River Basin, and the city of Zhangzhou. …”
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A machine learning model using the snapshot ensemble approach for soil respiration prediction in an experimental Oak Forest by S.N. Ferdous, J.P. Ahire, R. Bergman, L. Xin, E. Blanc-Betes, Z. Zhang, J. Wang

“…This model can serve as a surrogate for the ForCent model applied to the Oak Ridge National Laboratory deciduous forest. Our proposed model accurately predicted soil CO2 flux for the four studied sites: East Low, West Low, East High, and West High. …”
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Uncovering mercury accumulation and the potential for bacterial bioremediation in response to contamination in the Singalila National Park by Sukanya Acharyya, Soumya Majumder, Sudeshna Nandi, Arindam Ghosh, Sumedha Saha, Malay Bhattacharya

“…This study explored the Singalila National Park, located on the Singalila ridge of the Eastern Himalayas, revealing substantial mercury contamination. …”
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Temporal and habitat-specific variations in drivers of aboveground biomass dynamics in a Chinese subtropical forest by Yuxuan Bian, Qi Wu, Rong Zheng, Jiaqin Fu, Jianhua Chen, Xiangcheng Mi, Mingjian Yu, Yunquan Wang, Yunquan Wang, Yunquan Wang

“…In contrast, no statistically significant alterations were detected in the aboveground biomass of mid-hillside and high-ridge habitats. Furthermore, the determinants of ΔAGB exhibited temporal variation. …”
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Improved Diet Quality in Elite and Entry-Level Military Women Compared With Civilian-Matched Counterparts by Tyler E Oliver, Soothesuk Kusumpa, Laura J Lutz, James P McClung, Holly L McClung

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SOME ASPECTS OF TEETH ERUPTION. A LITERATURE REVIEW by L.V. Smaglyuk, Н.V. Voronkova, A.Y. Karasiunok

“…The normal state of passive eruption should lead to the location of the cement-enamel joint (CEJ) approximately in the area of the base of the furrow and 2 mm from the ridge of the alveolar bone. The active eruption is the movement of teeth towards the occlusal plane, whereas the passive eruption is the exposure of teeth by apical migration of the gums. …”
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A pipeline for processing hyperspectral images, with a case of melanin-containing barley grains as an example by I. D. Busov, M. A. Genaev, E. G. Komyshev, V. S. Koval, T. E. Zykova, A. Y. Glagoleva, D. A. Afonnikov

“…The current version of the package implements the following methods: construction of a confidence interval of an arbitrary level for the difference of sample averages; verification of the similarity of intensity distributions of spectral lines for two sets of hyperspectral images on the basis of the Mann–Whitney U-criterion and Pearson’s criterion of agreement; visualization in two-dimensional space using dimensionality reduction methods PCA, ISOMAP and UMAP; classification using linear or ridge regression, random forest and catboost; clustering of samples using the EM-algorithm. …”
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The effect of differences in the third domain of the glycoprotein E of tick-borne encephalitis virus of the Far Eastern, Siberian and European subtypes on the binding of recombinan... by I. K. Baykov, A. L. Matveev, L. A. Emelianova, G. B. Kaverina, S. E. Tkachev, N. V. Tikunova

“…In addition, information about the spatial arrangement of amino acid residues that are different for the studied recombinant proteins indicates that the epitope recognized by the ch14D5 antibody is in close proximity to the lateral ridge of D3 domain of E glycoprotein.…”
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How Do Changes in Grassland Phenology and Its Responses to Extreme Climatic Events in Central Asia? by Xinwei Wang, Jianhao Li, Jianghua Zheng, Liang Liu, Xiaojing Yu, Ruikang Tian, Mengxiang Xing

“…Based on the calculation results of grassland phenology and compound events (CEs), this study used trend analysis, partial least squares regression structural equation modeling (PLS-SEM), and ridge regression analysis to investigate the mediating effect and the temporal trend in relative contribution of CEs to grassland phenology in Central Asia, and the magnitude of sensitivity of grassland phenology to CEs. …”
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A Study on Dust Storm Pollution and Source Identification in Northwestern China by Hongfei Meng, Feiteng Wang, Guangzu Bai, Huilin Li

“…Key meteorological conditions influencing the storm’s occurrence were analyzed, including the formation and eastward movement of a high-potential ridge, convection driven by diurnal temperature variations, and surface temperature increases coupled with decreased relative humidity, which together promoted the generation and development of dust. …”
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Microbial community differentiation in vent chimneys of the Lost City Hydrothermal Field reflects habitat heterogeneity by Osama M. Alian, William J. Brazelton, Karmina A. Aquino, Katrina I. Twing, H. Lizethe Pendleton, Gretchen Früh-Green, Susan Q. Lang, Matthew O. Schrenk, Matthew O. Schrenk

“…The Lost City Hydrothermal Field (LCHF) near the Mid-Atlantic Ridge is one such environment, and its large chimneys are unique in hosting actively venting hydrothermal fluids that are primarily controlled by serpentinization reactions in the subseafloor. …”
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Effects of permafrost stability changes on vegetation dynamics in the middle part of the Greater Khingan Mountains by Jiaman Sun, Wei Shan, Chengcheng Zhang

“…The study also identified an overall greening trend in the region, with the proportions of increased normalized vegetation index (Gr-NDVI), advanced start of the growing season (SOS), and delayed end of the growing season (EOS) being 93.84%, 75.12%, and 68.83%, respectively. Ridge regression and partial correlation analyses indicated that frozen soil status, precipitation, and evapotranspiration are the primary factors influencing vegetation dynamics, accounting for 32.90%, 30.45%, and 27.15%, respectively. …”
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Integrating machine learning with mendelian randomization for unveiling causal gene networks in glioblastoma multiforme by Lixin Du, Pan Wang, Xiaoting Qiu, Zhigang Li, Jianlan Ma, Pengfei Chen

“…Of the 113 machine learning models tested, Ridge regression achieved the highest area under the curve (AUC) of 0.92, demonstrating robust predictive accuracy. …”
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An investigation of machine learning methods applied to genomic prediction in yellow-feathered broilers by Bogong Liu, Huichao Liu, Junhao Tu, Jian Xiao, Jie Yang, Xi He, Haihan Zhang

“…In this study, seven different ML methods—support vector regression (SVR), random forest (RF), gradient boosting decision tree (GBDT), extreme gradient boosting (XGBoost), light gradient boosting machine (LightGBM), kernel ridge regression (KRR) and multilayer perceptron (MLP) were employed to predict the genomic breeding values of laying traits, growth and carcass traits in a yellow-feathered broiler breeding population. …”
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Multiphoton imaging-based quantifiable collagen signatures for predicting outcomes in patients with pancreatic ductal adenocarcinoma by Xiwen Chen, Jikui Miao, Xingxin Huang, Xiahui Han, Liqin Zheng, Jianxin Chen, Linying Chen, Lianhuang Li

“…We identified eight distinct tumor-associated collagen signatures (TACS1-8) from multiphoton images of PDAC tissues and developed an optical biomarker, TACS-score, based on the TACS1-8 using ridge regression analysis. Additionally, we also extracted 142 microscopic TACS (M-TACS) from second-harmonic generation (SHG) images and constructed a new robust biomarker, M-TACS-score, using the least absolute shrinkage and selection operator (LASSO) regression analysis. …”
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Extensional forearc structures at the transition from Alaska to Aleutian Subduction Zone: slip partitioning, terranes and large earthquakes by Kahrizi, Amin, Delescluse, Matthias, Chamot-Rooke, Nicolas, Pubellier, Manuel, Bécel, Anne, Shillington, Donna, Nedimović, Mladen, Bulois, Cédric

“…We infer that the trench parallel Unimak Ridge, associated with the 1946 Mw 8.6 tsunami earthquake, is the last expression of terrane sutures reactivation before their westward vanishing in the more recent Aleutian arc.…”
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