Reduced graphene oxide-based absorbance biosensors for detecting Escherichia coli DNA by Chau Nguyen Minh Hoang, Son Hai Nguyen, Mai Thi Tran

“…The functionalized reduced graphene oxide was successfully synthesized using a modified Hummers’ method, followed by a hydrothermal reduction step. Structural, morphological, and chemical properties of the reduced graphene oxide were confirmed through Fourier-transform infrared spectroscopy, scanning electron microscopy, and X-ray diffraction. …”
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Somatic symptoms among young adults: an observational study examining the roles of trauma type and psychological distress by Lauren A. Perez, Yvette Z. Szabo

“…Data were first analyzed using linear regression, followed by structural equation modeling to estimate indirect effects, with bootstrapping used to generate confidence intervals. …”
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Pension expenditures and old-age poverty in OECD countries by María del Carmen Ramos-Herrera, Simón Sosvilla-Rivero

“…Our results suggest that pension expenditure shows a linear and nonlinear impact on old-age poverty rates. …”
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Comparative analysis of the mitogenomes of multiple species of Fagaceae, with special focus on Quercus gilva by Yu Li, Si-Si Zheng, Gregor Kozlowski, Yi-Gang Song

“…Additionally, we explore the structural features of its mitogenome and provide comprehensive analyses of the phylogeny and evolution of Fagaceae. …”
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A preliminary study of the mechanism of compound hearing loss caused by ototoxic drugs combined with impulse noise by Xin Qiu, Qing‐qing Jiang, Wei‐wei Guo, Ning Yu, Shi‐ming Yang

“…The compound group's damage was greater than the linear sum of the single‐factor group in many ways, such as the loss and damage of hair cells and cilia, disturbed morphology and arrangement of hair cells, protein metabolism, cell function, and structural defects on the epidermal plate (p < 0.01). …”
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A study on the chemosensory organs, feeding behavior, and attractant substances of Babylonia areolata by Weiguang Zou, Yang Gan, Jiawei Hong, Xuan Luo, Weiwei You, Caihuan Ke, Minghui Shen

“…In this study, we found that the surface of the tentacles and rhinophore were distributed with dense cilia and had a ''9 + 2'' motile cilia structure, and the osphradium were distributed with many sensory cells containing pigmented granules and nerve fibers in a linear fashion, as well as many nerve cells distributed on each olfactory leaf. …”
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A large-scale estimation method for beach slopes using ICESat-2 altimeter: A case study of New Zealand by Nan Xu, Hao Xu, Wenyu Li, Hui Lu, Yongze Song, Jiaqi Yao, Yue Ma, He Ren, Tingting He, Fan Mo, Peng Gong

“…Second, we combined the adaptive threshold OPTICS (Ordering Points To Identify the Clustering Structure) algorithm and the moving window filter to accurately extract sandy beach photons. …”
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Lupus nephritis and U1-RNP-antibodies are associated with low bone mineral density and osteoporosis in patients with systemic lupus erythematosus: baseline findings in a sub-cohort... by Edgar Wiebe, Elisa Celine Schilling, Dörte Huscher, Andriko Palmowski, Zhivana Boyadzhieva, Sandra Hermann, Burkhard Muche, Mirella Lopez Picazo, Gerhard Krönke, Falk Hiepe, Tobias Alexander, Frank Buttgereit

“…Our findings suggest that 3D bone structure analysis may be helpful in discriminating past vertebral fractures. …”
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Aboveground biomass relationship with canopy cover and vegetation to improve carbon change monitoring in rangelands by Chiara Pasut, Jacqueline R. England, Melissa Piper, Stephen H. Roxburgh, Keryn I. Paul

“…For most structural vegetation classes assessed, estimates of BAG from C were statistically significant, with Lin's concordance coefficients of 0.67–0.79 and proportional error of <36% relative to the BAG across all the classes. …”
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Contributions of lifestyle, education, and cardiovascular risk factors to the brain age gap by Kostas Stoitsas, Pieter Bakx, Trudy Voortman, Jing Yu, Gennady Roshchupkin, Daniel Bos

“…A convolutional neural network (CNN) was trained on structural MRI scans from dementia-free participants in the Rotterdam Study.Scans were collected every 3–4 years from 2005 to 2016. 10,989 images from 5,167 participants (mean age: 64 years [range: 45–98], 54 % female) were used to train and evaluate the model. …”
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Large‐scale phosphomimetic screening identifies phospho‐modulated motif‐based protein interactions by Johanna Kliche, Dimitriya Hristoforova Garvanska, Leandro Simonetti, Dilip Badgujar, Doreen Dobritzsch, Jakob Nilsson, Norman E Davey, Ylva Ivarsson

“…We performed a detailed follow‐up on a phospho‐dependent interaction between clathrin and the mitotic spindle protein hepatoma‐upregulated protein (HURP), demonstrating the essentiality of the phospho‐dependency to the mitotic function of HURP. Structural characterisation of the clathrin‐HURP complex elucidated the molecular basis for the phospho‐dependency. …”
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Gray matter morphology and pain-related disability in young adults with low back pain by Jo Armour Smith, Rongwen Tain, Isaac Chrisman, Kelli G. Sharp, Laura M Glynn, Linda R. Van Dillen, Jesse V. Jacobs, Steven C. Cramer

“…Structural neuroplasticity in the brain may contribute to the persistence of low back pain (LBP) symptoms and the disability associated with them. …”
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Safety net or social barrier? Social networks and barriers to monitoring type 2 diabetes management among Black/African American men by Tyler Prochnow, Megan S. Patterson, Jeong-Hui Park, Ledric D. Sherman, Matthew Lee Smith

“…Participants completed a comprehensive survey assessing social networks, barriers to T2D management using the Diabetes Care Profile, and demographic characteristics. Multiple linear regression analyses examined associations between network characteristics (interactions, social norms, composition, support, and structure) and barriers while controlling for demographic variables. …”
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Behavioral Intention to Use Mobile Learning: Evaluating the Role of Self-Efficacy, Subjective Norm, and WhatsApp Use Habit by Jeya Amantha Kumar, Brandford Bervell, Nagaletchimee Annamalai, Sharifah Osman

“…The nonlinear findings indicate that the relationships between these constructs, which were previously reported as linear, are prone to saturation and warrants further investigation. …”
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Electrolytic Plasma Hardening of 20GL Steel: Thermal Modeling and Experimental Characterization of Surface Modification by Bauyrzhan Rakhadilov, Rinat Kurmangaliyev, Yerzhan Shayakhmetov, Rinat Kussainov, Almasbek Maulit, Nurlat Kadyrbolat

“…Microhardness profiling and metallographic examination confirmed surface strengthening and structural refinement, which intensified with increasing voltage. …”
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Radar signal recognition exploiting information geometry and support vector machine by Yuqing Cheng, Muran Guo, Limin Guo

“…In addition, the proposed algorithm has better robustness to small samples than other deep learning‐based algorithms, since the SVM method minimises the structural risk instead of the empirical risk. Simulation results verify the effectiveness of the proposed algorithm.…”
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A Cartesian Parallel Mechanism for Initial Sonography Training by Mykhailo Riabtsev, Jean-Michel Guilhem, Victor Petuya, Mónica Urizar, Med Amine Laribi

“…The simulation results showed consistent performance, with dexterity and torque distribution confirming the suitability of the mechanism for haptic applications in sonography training. Additionally, structural analysis verified the robustness of key components under expected loads. …”
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Estimating the spatial and model uncertainties in yielding extreme rainfall return levels across India by Poornima Chandra Lekha Posa, Rajarshi Das Bhowmik

“…This study investigates whether an optimal Non-stationary Generalized Extreme Value (NSGEV) model for extreme rainfall varies regionally and how external covariates affect model structural and spatial uncertainties in the estimates. …”
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Trait-Based Modeling of Surface Cooling Dynamics in Olive Fruit Using Thermal Imaging and Mixed-Effects Analysis by Eddy Plasquy, José M. Garcia, Maria C. Florido, Anneleen Verhasselt

“…Residual variation at the group level pointed to additional unmeasured structural influences. This study demonstrates that olive fruit cooling behavior can be effectively predicted using interpretable, trait-dependent models. …”
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Graph representation learning via enhanced GNNs and transformers by Hongrui Mu, Chengchen Zhou, Qiancheng Yu, Qunyue Mu

“…Initially, considering that edges encapsulate structural information, we enhance the original graph by superimposing edge-level positional encoding based on node-level random walk positional encoding, thus optimizing the utilization of this information. …”
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