Functional control of the technical condition method for aircraft control system sensors under complete parametric uncertainty by J. V. Bondarenko, E. Yu. Zybin

“…Necessary and sufficient solvability conditions are given, the structure and the criterion values are determined in an analytical form before and after the failures occurrence. …”
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Can Ai Revolutionize Qspr Models for the Chemical Mixtures Hazards? by Guillaume Fayet, Nour Helou, Patricia Rotureau

“…In the last decades, particularly with the implementation of the REACH regulation, predictive methods such as QSAR/QSPR (Quantitative Structure-Activity/Property Relationships) have been encouraged and utilized as rapid and economical alternatives to experimental testing for determining (eco)toxicological and physical hazards of chemical substances. …”
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Development of a Practical Method to Estimate the Eco-Level of Driver Performance by Jianbin Zheng, Yiping Wu

“…Taking 700 data samples in basic segments of urban expressways as our training set and 100 data samples as validation test, we found the optimal model structure and parameters through repeated simulation experiments. …”
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Design of Innovative Divalent Cj1621 and CjaA Multiepitope mRNA-Based Vaccine Against Foodborne Campylobacter jejuni Using In Silico Approaches by Dhama Al-Sallami, Amjed Alsultan, Amir Hani Raziq, Behrooz Sadeghi Kalani, Simon R. Clarke

“…Physiochemical, immunological, secondary, and 3D structure evaluation of the proposed vaccine showed it is immunogenic, nontoxic, nonallergic, flexible, and stable. …”
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Human Resource Management Practices and Employees’ Retention in Local Government in Uganda: A Case Study of Kisoro District Local Government. by Mugisha, Godfrey

“…To address this issue, the researcher recommends that the district should establish enhanced rewards for staff and a salary structure that sets aside funds for employee rewards. …”
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Insights into Sulfhemoglobin Detection: UV-Vis and Fluorescence Spectroscopy Correlations by Lysmarie Santos-Velázquez, Juan López-Garriga

“…The process involves the interaction of H2S with hemoglobin or myoglobin in the presence of O2 or H2O2 to generate sulfhemoglobin or sulfmyoglobin, respectively. Structurally, the sulfheme product chromophore is a covalent heme modification. …”
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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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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 data were collected from 171 engineering undergraduates and analyzed based on structural equation modeling. The results suggest (1) Behavioral intention was positively and significantly influenced by mobile learning self-efficacy, attitude, and perceived usefulness; (2) Attitude was positively and significantly influenced by subjective norm, perceived usefulness, and mobile learning self-efficacy; (3) Mobile learning self-efficacy was only influenced by perceived ease of use and (4) Habit of using WhatsApp did not influence perceived usefulness nor perceived ease of use but had a positive and significant relationship with mobile learning self-efficacy. …”
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High‐Gain PMMA‐Modified Graphene Photodetectors for Dual‐Wavelength Secure Communication Utilizing Distinct Temporal Photoresponses by Jinhua Wu, Hao Sun, Ruiling Zhang, Shipeng Yao, Zhangyu Hou, Cun‐Zheng Ning

“…The research introduces a straightforward yet efficient structural design for photodetectors with temporally distinct photoresponses at specific wavelengths and represents a significant advancement in the field of secure communication.…”
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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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Unlocking efficiency in column chromatography with packed bed supporting inserts by Romone M. Fancy, David H. Abraham, Matthew R. Taylor, Cole McMullin, Nicholas S. Brann, Daniel M. Bailey, David I. Brown, Heather Bethea Horne, Leslie S. Wolfe

“…OMEGA was shown to reduce the effective hydraulic radius of packed resin beds, increase the permeability of packed columns by 44%–73%, and yield a 42%–50% decrease in pressure differential across the resin bed at a comparable linear velocity. The structural support provided by OMEGA enables higher operational flow rates and increased resin bed height without impact to either dynamic binding capacity or purified product quality. …”
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Magnetic Particle-Based Automated Chemiluminescence Immunoassay for the Determination of Hydrocortisone Residues in Milk by Yuan-Yuan Yang, Bao-Zhu Jia, Zhen-Lin Xu, Yi-Xian Liu, Lin Luo

“…The method demonstrated stability and exhibited no cross-reactivity with structural analogues. Spiked recoveries of milk samples ranged from 85.85% to 100.30%, with results strongly correlating with those obtained from LC-MS/MS. …”
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Design of Partially Suspended Silicon Nitride Slot Waveguides for Efficient Forward Stimulated Brillouin Scattering by Kang Wang, Junqiang Sun, Ming Cheng

“…We analyze the impacts of structural parameters on the SBS properties, which produces the optimal parameters for maximum SBS gain. …”
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Prediction Analysis of Pre-Camber for Continuous Girder Bridge Cantilever Casting Construction Based on DBO-CNN-BiLSTM-Attention Neural Network by Jinyang Zhang, Haiqing Liu, Xiangen Gong, Ming Lei, Zimu Chen

“…During the cantilever casting construction process of continuous girder bridges, it is crucial to accurately predict the pre-camber of each cantilever segment to ensure smooth closure of the bridge, structural safety, and construction quality. However, traditional methods for predicting pre-camber have limited accuracy and primarily handle linear relationships. …”
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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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