Antibiotic-Resistant Neisseria gonorrhoeae Spread Faster with More Treatment, Not More Sexual Partners. by Stephanie M Fingerhuth, Sebastian Bonhoeffer, Nicola Low, Christian L Althaus

“…Assuming no fitness costs, the model shows the difference in the host population's treatment rate rather than the difference in the number of sexual partners explains the differential spread of resistance. …”
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Aerosol–cloud interactions in cirrus clouds based on global-scale airborne observations and machine learning models by D. Ngo, M. Diao, R. J. Patnaude, R. J. Patnaude, R. J. Patnaude, S. Woods, G. Diskin

“…The ML predictions of IWC fluctuations showed higher accuracies when larger aerosols were used as a predictor compared with smaller aerosols, even though their effects were similar when predicting cirrus occurrences. …”
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Model-Based Performance Evaluation of Hybrid Solid-State Batteries: Impact of Laser-Ablated Geometrical Structures by Maximilian Scheller, Axel Durdel, Alexander Frank, Andreas Jossen

“…A sensitivity analysis of geometric structure parameters shows further potential for performance improvement in terms of specific capacity and energy density. …”
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Adaptation of Everyday Discrimination Scale (EDS) for Nurses: A Validity and Reliability Study in Turkish by Nazan Ulusoy, Hatice Ulusoy, Albert Nienhaus, Patrick Brzoska

“…The 8-item, one-factor baseline model of the adapted Everyday Discrimination Scale, most commonly used in literature, showed a poor model fit (RMSEA= 0.145; CFI= 0.839; TLI= 0.775; SRMR 0.058). …”
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Modelling Infiltration Based on Source‐Responsive Method for Improving Simulation of Rapid Subsurface Stormflow by Xuhui Shen, Jintao Liu, Xiaole Han, Hai Yang, Hu Liu, Feiyu Ni

“…Additionally, sensitivity analysis shows that the storage‐discharge capacity of soil profiles dominates torrential flood forecasting in humid headwaters when considering the influence of macropores. …”
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Optimization Design Method of Pipe-Insulating Joints Based on Surrogate Model and Genetic Algorithm by Chen Guo, Zheng Yang, Jianbo Dong, Yanchao Yue, Linjun Tian, Ping Ma

“…Subsequently, four different fitting algorithms were trained with this dataset, and the ridge regression algorithm, which showed the best predictive performance, was used to establish a surrogate model for calculating the maximum stress of the right flange. …”
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Assessing the impact of vegetation changes on water availability in the upper Yellow River Basin, China by Yan Wang, Guoqing Wang, Xiyuan Deng, Yuli Ruan, Cuishan Liu

“…The Community Land Model version 4.5 (CLM4.5), coupled with the Variable Infiltration Capacity (VIC) parameterizations, was utilized for ecohydrological applications. …”
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Quantification and characterization of primary biological aerosol particles and microbes aerosolized from Baltic seawater by J. Zinke, J. Zinke, J. Zinke, G. Pereira Freitas, G. Pereira Freitas, R. A. Foster, P. Zieger, P. Zieger, E. D. Nilsson, E. D. Nilsson, P. Markuszewski, P. Markuszewski, P. Markuszewski, M. E. Salter, M. E. Salter, M. E. Salter

“…We estimated microbial emission fluxes using two independent approaches: (1) applying the enrichment factors derived from this study with mass flux estimates from previous SSA parameterizations and (2) using a scaling approach from a companion study. …”
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The Sparse Atmospheric Model Sampling Analysis (SAMOSA) Intercomparison: Motivations and Protocol Version 1.0: A CUISINES Model Intercomparison Project by Jacob Haqq-Misra, Eric T. Wolf, Thomas J. Fauchez, Aomawa L. Shields, Ravi K. Kopparapu

“…Our preliminary comparison using ExoCAM shows general consistency between the climate state predicted by ExoCAM and ExoPlaSim except in regions of the parameter space most likely to be in a steam atmosphere or incipient runaway greenhouse state. …”
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Nonparametric Bayesian Networks as a Tool of Multiscale Time Series Analysis and Remote Sensing Data Integration by Nikita S. Pyko, Denis V. Tishin, Pavel Yu. Iskandirov, Artur M. Gafurov, Bulat M. Usmanov, Mikhail I. Bogachev

“…A multiscale nonparametric Bayesian network was constructed to characterize both unconditional and conditional statistical relationships between parameters obtained from remote sensing, hydroclimatic and dendrological measurements. The proposed model showed a good quality of the plant fund state forecasting. …”
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Using a plant hydraulic model to design more resilient rehabilitated landscapes in arid ecosystems by Jean V. Wilkening, Sebastian C. Lamoureux, Erik J. Veneklaas, Sally E. Thompson

“…When run under historical rainfall trajectories, the model shows that significant plant water stress was ubiquitous across cover depths and was most frequent in shallower covers, where it was accompanied by higher leakage and lower net carbon assimilation. …”
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Bacteriological and Physicochemical Assessment of Drinking Water from wells located in the Industrial Areas of Kano Metropolis by Yahaya, S., Janet, T. S., Kawo, A.H.

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Resting state EEG in young children with Tuberous Sclerosis Complex: associations with medications and seizures by Caitlin C. Clements, Anne-Michelle Engelstad, Carol L. Wilkinson, Carly Hyde, Megan Hartney, Alexandra Simmons, Helen Tager-Flusberg, Shafali Jeste, Charles A. Nelson

“…Children with TSC also showed significantly greater aperiodic offset (reflecting nonoscillatory neuronal firing) after power spectra were parameterized using SpecParam into aperiodic and periodic components. …”
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Multidecadal estimation of hydrological contribution and glacier mass balance in the semi-arid Andes based on physically based modeling and geodetic mass balance by Alonso Mejías, Alonso Mejías, James McPhee, James McPhee, Hazem Mahmoud, David Farías-Barahona, Christophe Kinnard, Shelley MacDonell, Shelley MacDonell, Santiago Montserrat, Marcelo Somos-Valenzuela, Alfonso Fernandez

“…Simulated runoff from glacier melt showed a positive trend of 8% per decade since 1971. …”
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Study on correlation and path analysis between SPAD values and chlorophyll concentrations in three species of Berberidaceae leaves by LU Xiaoping, YANG Bingxian, XU Chanjuan, TIAN Jingkui, ZHANG Lin

“…Moreover, the empirical relationships between the SPAD values and the concentration of chlorophyll a (Chla), chlorophyll b (Chlb) and total chlorophyll (TChl) were determined by a linear function, a second-order polynomials function, an exponential function and a power function to calculate the R² decision value based optimal fitting curve.For all three species, when chlorophyll concentration was expressed as per unit leaf area, it showed significant correlation with SPAD values. The SPAD values showed higher correlation with the concentration of Chla than Chlb in M. bealei and M. fortunei, and the result was opposite in N. domestica. …”
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Developing a method for root-zone soil moisture monitoring at the field scale using remote sensing and simulation modeling by Hamideh Noory, Morteza Khoshsima, Atsushi Tsunekawa, Mitsuru Tsubo, Nigussie Haregeweyn, Salar Pashapour

“…The root mean square errors (RMSEs) and coefficients of determination (R2 values) were < 0.032 cm3 cm−3 and 0.52–0.95, respectively. The results showed that the type of irrigation system had a direct effect on the SM estimated with the proposed method. …”
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Cosmic dynamics and dark energy evolution in scalar-tensor theories on Finsler-like tangent bundles with observational constraints by J. Praveen, S.K. Narasimhamurthy

“…Furthermore, the scalar potential V(ϕ) is reconstructed, showing behavior consistent with a quintessence-like evolving field. …”
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Vulnerability-Based Economic Loss Rate Assessment of a Frame Structure Under Stochastic Sequence Ground Motions by Zheng Zhang, Yunmu Jiang, Zixin Liu

“…To address these limitations, this study proposes an explicit and parameterized modeling framework based on the evolutionary power spectral density (EPSD) of random ground motions. …”
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Free-range rearing characteristics of two German dual-purpose chicken breeds: Dresden chickens and Dresden bantams by Ruben Schreiter, Tobias Born, Marion Herzog, Markus Freick

“…Using binary logistic regression models, breed and age showed significant differences in plumage damage (p < 0.001 each). …”
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Shear wave velocity profiling of Riyadh City, Saudi Arabia, utilizing the multi-channel analysis of surface waves method by Abdelrahman Kamal, Hazaea Saddam A., Almadani Sattam A.

“…The entire process was meticulously parameterized to extract shear wave velocity for subsurface characteristics. …”
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