Tree diversity’s impact on coarse woody debris biomass and spatial stability under different moisture stress levels in temperate forests, South Korea by Hae-In Lee, Young-Ju Lee, Chang-Bae Lee

“…Our study emphasizes the importance of considering species, functional diversity, and climate moisture conditions in forest management and conservation efforts, particularly under moisture stress gradients. …”
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Bifurcation analysis and nonlinear elastic behavior of FG foam-filled double cylindrical microtubes via the modified couple stress theory in thermal environment by Sarah M. Albalawi, Mohammed Sobhy, Adel A. Elmandouh

“…This paper presents a comprehensive investigation into the nonlinear wave propagation, vibration characteristics, and thermal postbuckling behavior of double cylindrical microtubes filled with functionally graded (FG) metal foam. The microtubes are composed of FG ceramic–metal materials, where the outer and inner surfaces are ceramic-rich, while the interfaces adjoining the foam core are metal-rich. …”
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Mechanical and finite element models of corneal keratoprostheses by A. N. Soloviev, N. I. Glushko, A. N. Epikhin, M. Swain, О. N. Lesnyak, А. Е. Ivanov

“…Two types of keratoprostheses are considered: the first type with a support plate and the second type with an intermediate functionally gradient layer. The stress-strain state of the prosthesis is calculated for the first type. …”
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Development of a warning model for drug-induced liver injury in the older patients by Qiaozhi Hu, Qiaozhi Hu, Xiaoqi Li, Xiaoqi Li, Dan Zou, Zhiyao He, Zhiyao He, Ting Xu

“…Model performance was evaluated using the area under the receiver operating characteristic curve (AUC).ResultsOut of the 3,600 older patients with abnormal liver function, 654 patients experienced DILI. The best-performing model, LightGBM combined with Random Forest imputation, achieved an AUC of 0.9829. …”
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THE FIRST EXPERIENCE OF MULTICOMPONENT PLASTIC MK WITH STRENGTHENING OF THE ANNULUS WITH VASCULAR PROSTHESIS by E. A. Rizayev, F. F. Turaev

“…Conclusion: The first experience of multicomponent plastic MV with strengthening of the fibrous ring with a vascular prosthesis shows the possibility of restoring the locking function and competence of the stored native valve without using the support rings.…”
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A surface diffusion block coefficient and model about coal-adsorbed gas by Yugui ZHANG, Shiqiang CHEN, Mingjie ZHANG, Jiangwei YAN, Cao LIU, Zhe LI, Di CHENG

“…The temperature is linearly and positively correlated with the surface diffusion coefficient, the pressure varies with the surface diffusivity in the form of the Langmuir equation, the isosteric heat of adsorption is exponentially correlated with the surface diffusivity, and the block coefficient is correlated with the surface diffusivity in the form of a power function. ④ CBM surface diffusion is an activation jump process of adsorbed gas molecules (activation caused by adsorption potential difference) at a micro level and is driven by concentration gradient at a macro level. …”
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Phyllotaxy and environmental factors influences on leaf trait dimensions in Fraxinus mandshurica: a multidimensional approach within temperate forests by Mingyue Jin, Mingyue Jin, Mingyue Jin, Yunfei Diao, Yunfei Diao, Yunlong Wang, Mingke Zhang, Tianyi Wang, Yajun Ren, Yajun Ren, Yajun Ren, Ming Zhong, Ming Zhong, Ming Zhong, Wanting Cheng, Wanting Cheng, Wanting Cheng, Chengdong Wang, Chengdong Wang, Chengdong Wang, Honghui Teng, Honghui Teng, Honghui Teng

“…No significant variation in the dimensions of economic and stomatal traits was observed across the phyllotaxy gradient; (2) phyllotaxy modulates trait coordination, with decoupled economic and stomatal traits at phyllotaxy 1 but coupled relationships at phyllotaxy 2–6; (3) environmental factors had a greater impact on economic trait dimensions variation, whereas phyllotaxy was more important for stomatal trait dimensions.DiscussionOur study highlights the significance of trait dimensions in understanding plant functional strategies. …”
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Probing aspects of extracellular vesicle associated AAV allows increased vector yield and insight into its transduction and immune-evasive properties by Ming Cheng, Demitri de la Cruz, Adam V. Crain, Paula Espinoza, Carrie Ng, Zachary C. Elmore, Aravind Asokan, Casey A. Maguire

“…Despite these promising data, better characterization of EV-AAV is needed. We used density gradient ultracentrifugation to separate EV-AAV from free AAV to determine the yields and functional activity of EV-AAV. …”
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Rigorous Process for Isolation of Gut-Derived Extracellular Vesicles (EVs) and the Effect on Latent HIV by Nneoma C. J. Anyanwu, Lakmini S. Premadasa, Wasifa Naushad, Bryson C. Okeoma, Mahesh Mohan, Chioma M. Okeoma

“…However, efficient protocols for the isolation of pure and functional GI-derived EVs|ECs is lacking. Here, we describe the use of high-resolution particle purification liquid chromatography (PPLC) gradient-bead-column integrated with polyvinylpolypyrrolidone (PVPP)-mediated extraction of impurities to isolate EVs from colonic content (ColEVs). …”
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Prediction of strength parameters of concrete containing different additives using optimized neural network algorithm by Behzad Haseli, Gholamreza Nouri, Meysam Mardi, Ehsan Adili, Mohammad Bahari

“…Control criteria are the use ofnumerical values of performance, the correlation between training functions, validation and,testing in the neural network, gradient and results of regression diagram to determine the most optimal neural network structure. …”
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Optimal power flow using recent red-tailed hawk optimization algorithm by Ahmed M Nassef, Mohammad Ali Abdelkareem, Mohamed Louzazni

“…The optimal power flow (OPF) solution determines the most efficient and secure operating point by considering certain objective functions and ensuring the system's operational restrictions are met. …”
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GluA2 palmitoylation by SELENOK modulates AMPAR assembly and synaptic plasticity in Alzheimer's disease by Jiaying Peng, Zhiyu Cai, Pei Ouyang, Shujing Lin, Shurui Zhang, Danchan Liang, Ziqi Feng, Changbin Chen, Xilin Ye, Guoli Song, Zhonghao Zhang

“…Se is essential for central nervous system function, and its deficiency is strongly associated with cognitive decline, especially in neurodegenerative disorders such as Alzheimer's disease (AD). …”
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First-principles DFT and BoltzTraP investigation of multifunctional properties of XNiH3 (X = Li, Na, K) perovskite hydrides: Thermoelectric and hydrogen storage potential by Ayoub Koufi, Younes Ziat, Hamza Belkhanchi

“…This work presents a comprehensive first-principles investigation of the structural, electronic, thermoelectric, and hydrogen storage properties of XNiH3 (X = Li, Na, K) perovskite-type hydrides, using density functional theory (DFT) within the generalized gradient approximation (GGA), coupled with the WIEN2k and BoltzTraP codes. …”
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Adaptive Introgression as an Evolutionary Force: A Meta‐Analysis of Knowledge Trends by Pedro Horta, Helena Raposeira, Javier Juste, Orly Razgour, Hugo Rebelo

“…Despite methodological advances, key gaps remain in understanding how adaptive introgression due to hybridization functions across taxonomic groups and biological levels. …”
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A New Four‐Component L*‐Dependent Model for Radial Diffusion Based on Solar Wind and Magnetospheric Drivers of ULF Waves by Kyle R. Murphy, Jasmine Sandhu, I. Jonathan Rae, Thomas Daggitt, Sarah Glauert, Richard B. Horne, Clare E. J. Watt, Sarah Bentley, Adam Kellerman, Louis Ozeke, Alexa J. Halford, Sheng Tian, Aaron Breneman, Leonid Olifer, Ian R. Mann, Vassilis Angelopoulos, John Wygant

“…We find that the models developed here perform well under varying levels of activity and have a larger slope or steeper gradient as a function of L∗ as compared to existing models (higher diffusion at higher L∗ values).…”
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Optimisation of Ensemble Learning Algorithms for Geotechnical Applications: A Mathematical Approach to Relative Density Prediction by Mahdy Khari, Ali Dehghanbanadaki, Danial Jahed Armaghani, Manoj Khandelwal

“…The mathematical analysis was centred on the optimisation and comparative performance of ensemble methods, with particular emphasis given to gradient boosting regression (GBR), AdaBoost regression, and extreme gradient boosting (XGBoost). …”
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Machine learning model for predicting in-hospital cardiac mortality among atrial fibrillation patients by Huasheng Lv, Xuehua Bi, Shuai Shang, Meng Wei, Xianhui Zhou, Kai Wang, Baopeng Tang, Yanmei Lu

“…Shapley Additive Explanations identified key predictors such as thyroid function indices (e.g., total triiodothyronine, total thyroxine), procalcitonin, N-terminal pro-brain natriuretic peptide, and international normalized ratio. …”
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A non-optically active lake salinity dataset by satellite remote sensing by Mingming Deng, Ronghua Ma, Lixin Wang, Minqi Hu, Kun Xue, Zhigang Cao, Junfeng Xiong, Zhengyang Yu

“…Our study constructed an extreme gradient boosting (XGB) salinity model, which was used to generate the Inner Mongolia lake salinity (IMSAL) dataset with Sentinel-2 remote sensing reflectance. …”
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Meta-analysis of 87Sr/86Sr ratios in otoliths to establish thresholds for determining fish movement by Fábio Ricardo da Rosa, Esteban Avigliano, Fabrice Duponchelle, Luciana Alves Pereira, Marília Hauser, Lorenzo Soriano Antonaccio Barroco, Carlos Edwar de Carvalho Freitas, Raniere Garcez Costa Sousa

“… Unpublished data were combined with a literature review to test a hypothesis of whether there is a pattern for classifying fish as “movers” or “residents” according to variability in strontium isotope ( 87 Sr/ 86 Sr) ratios in otoliths as a function of its environmental fingerprint. The variability in Sr ratios found in the otoliths of fish specimens as a percentage of isotopic environmental variability was used to determine the intensity of movement in a given study area (POEVSri index). …”
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Optimal Short-Time Acquisition Schemes in High Angular Resolution Diffusion-Weighted Imaging by V. Prčkovska, H. C. Achterberg, M. Bastiani, P. Pullens, E. Balmashnova, B. M. ter Haar Romeny, A. Vilanova, A. Roebroeck

“…This work investigates the possibilities of applying high-angular-resolution-diffusion-imaging- (HARDI-) based methods in a clinical setting by investigating the performance of non-Gaussian diffusion probability density function (PDF) estimation for a range of b-values and diffusion gradient direction tables. …”
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