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421
Effects of pneumatic tube systems on viscoelastic coagulation tests in septic patients and healthy individuals: protocol of the randomized controlled VETaPT-trial
Published 2025-06-01“…It explores if acceleration during transport alters coagulation and platelet function parameters and whether septic patients exhibit increased susceptibility due to their altered coagulation profiles. …”
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422
DLE-YOLO: An efficient object detection algorithm with dual-branch lightweight excitation network
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423
On certain subclass of Dirichlet series absolutely convergent in half-plane
Published 2022-03-01“…Conditions on real parameters $\gamma_0,\,\gamma_1,\,\gamma_2,\,a_1$ and $a_2$ of the differential equation $w''+(\gamma_0e^{2hs}+\gamma_1e^{hs}+\gamma_2) w=a_1e^{hs}+a_2e^{2hs}$ are found, under which this equation has a solution either in $\mathfrak{DF}_h(l,\alpha)$ or in $\mathfrak{DG}_h(l,\alpha)$.…”
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424
Deep Learning Integrating Scale Conversion and Pedo‐Transfer Function to Avoid Potential Errors in Cross‐Scale Transfer
Published 2024-03-01“…Abstract Pedo‐transfer functions (PTFs) relate soil/landscape static properties to a wide range of model inputs (e.g., soil hydraulic parameters) that are essential to soil hydrological modeling. …”
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425
An exploration of modeling approaches for capturing seasonal transmission in stochastic epidemic models
Published 2025-01-01“…In this paper, I highlight key modeling approaches for incorporating seasonality into disease transmission, including sinusoidal functions, periodic piecewise linear functions, Fourier series expansions, Gaussian functions, and data-driven methods. …”
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426
Improved Multi-Size, Multi-Target and 3D Position Detection Network for Flowering Chinese Cabbage Based on YOLOv8
Published 2024-10-01“…Additionally, the number of parameters is reduced by 25.43%. In summary, the improved YOLOv8 algorithm demonstrates high robustness and real-time detection performance, thereby providing strong technical support for automated harvesting management.…”
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427
Propagation of optical spatial solitons in nematic liquid crystals with quadruple power law of nonlinearity appears in fluid mechanics
Published 2024-12-01“…In addition, the investigation yields solutions of the single and mixed non-degenerate Jacobi elliptic function form. Novel solutions, such as the periodic pattern, kink and anti-kink patterns, N-pattern, W-pattern, anti-Z-pattern, M-pattern, V-pattern, complexion pattern and anti-bell pattern, or dark soliton solutions of nematic LCs, have been constructed by means of modified extended Fan subequation technique through granting suitable values for the parameters. …”
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428
SFG Synthesis of General High-Order All-Pass and All-Pole Current Transfer Functions Using CFTAs
Published 2014-01-01“…Simulation results using real transistor model parameters ALA400 are also included to confirm the theory.…”
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429
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430
IDENTIFICATION OF REAR MODEL OF TV3-117 AIRCRAFT ENGINE BASED ON THE BASIS OF NEURO-MULTI-FUNCTIONAL TECHNOLOGIES
Published 2019-03-01“…The goal of the work is to develop methods for identifying the technical state of the aircraft engine TV3-117 on the basis of real-time neural network technologies. The following tasks were solved in the article: the task of identifying the reverse multi-mode model of the aircraft engine TV3-117 using neural networks. …”
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431
Algorithm for parametric identification of the dc electric drive using the inverse model
Published 2022-04-01“…The paper considers the problem of parametric identification of an electric drive with a DC motor based on the definition of sensitivity functions. Wherein to construct an algorithm for parametric identification, an inverse model of the studied EDCS is used, the quality indicator is the squared discrepancy, and the identifiable parameter is the overall transmission coefficient of the electric drive.CONCLUSION. …”
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432
Algorithm for parametric identification of the DC electric drive using the inverse model
Published 2022-06-01“…The paper considers the problem of parametric identification of an electric drive with a DC motor based on the definition of sensitivity functions. Wherein to construct an algorithm for parametric identification, an inverse model of the studied EDCS is used, the quality indicator is the squared discrepancy, and the identifiable parameter is the overall transmission coefficient of the electric drive.CONCLUSION. …”
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433
Engineering oriented shape optimization of GHT-Bézier developable surfaces using a meta heuristic approach with CAD/CAM applications
Published 2025-08-01“…Abstract Optimization techniques are particularly useful when designing different free-form surfaces and manufacturing products in the engineering and CAD/CAM fields. Recently, many real-world problems utilize optimization techniques with objective functions to get their desired solution. …”
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434
Global retention models in reversed-phase liquid chromatography. A tutorial
Published 2024-11-01“…These common parameters are derived from chromatographic data for a subset of compounds tracked across experiments in the training design. …”
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435
Effect of Individualized Head-Related Transfer Functions on Distance Perception in Virtual Reproduction for a Nearby Sound Source
Published 2019-04-01“…The head-related transfer function (HRTF) is dependent on the position of the sound source (both direction and distance) and is also affected by individual anatomical parameters. …”
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436
On Analytical Extension of Generalized Hypergeometric Function <sub>3</sub><i>F</i><sub>2</sub>
Published 2024-10-01“…These expansions have wide domains of convergence and better computational properties, particularly compared with series, making them effective tools for representing special functions. New domains of the analytical continuation of the generalized hypergeometric function <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mmultiscripts><mi>F</mi><mn>2</mn><none></none><mprescripts></mprescripts><mn>3</mn><none></none></mmultiscripts></mrow></semantics></math></inline-formula> with real and complex parameters have been established. …”
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437
Data driven fuel consumption prediction model for green aviation using radial basis function neural network
Published 2025-07-01“…Abstract In response to the growing demand for sustainable aviation, a fuel consumption prediction model based on Radial Basis Function (RBF) Neural Networks was proposed. Using high-resolution onboard Quick Access Recorder (QAR) data, which contains richer flight parameters and higher accuracy, RBF models were constructed based on the extracted key influencing factors for different flight phases, including takeoff/climb, cruise, and descent/approach. …”
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438
Efficacy and safety of sofosbuvir plus daclatasvir in hemodialysis patients with genotype 1b or 2a hepatitis C virus infection: a single-arm, prospective real-world study
Published 2025-07-01“…Five patients (31.3%) had compensated cirrhosis. Liver function parameters remained stable throughout the study period. …”
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439
Design of a Multifunctional Distribution Room State Monitoring Sensor
Published 2021-02-01“…A detail introduction is made to the sensor’s schematic, hardware circuit design, software design and functional parameters. The sensor uses the STM32L151RDT6 microprocessor as the main control chip, and the advanced spectrum and electrochemical technology as the principle to detect a variety of gases at the same time. …”
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440
Data-Driven Approach to Safety Control in Jacket-Launching Installation Operations
Published 2025-03-01“…To address the limitations of software, such as long simulation times and tedious parameter adjustments, this study develops a rapid prediction model combining Radial Basis Function (RBF) and Backpropagation (BP) neural networks. …”
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