Suggested Topics within your search.
Suggested Topics within your search.
-
261
Evaluation of whole blood CD64 for identifying infection in neonates receiving hospital care
Published 2025-08-01“…Neonatal infections and sepsis in adults have been associated with increased CD64 expression on neutrophils. We investigated whole blood CD64 (wbCD64) and neutrophil elastase (NE) in neonates who were evaluated and treated for potential infection and evaluated the potential for these biomarkers as diagnostic tools.MethodsNeonates were prospectively recruited from two neonatal units. …”
Get full text
Article -
262
Multi-objective optimization of heat transfer performance of power battery cold plate based on bionic spider web flow channel
Published 2025-08-01“…Our comprehensive multi-parameter optimization using Response Surface Method (RSM) revealed that a 5 % copper nanoparticle concentration achieves optimal cooling, reducing average and maximum battery temperatures by 0.68 % and 0.67 % respectively, while maintaining a manageable 16.85 % increase in pressure drop. …”
Get full text
Article -
263
Interactive online learning method for students based on artificial intelligence
Published 2025-08-01Get full text
Article -
264
Design and Optimization of an Uneven Wave-like Protrusion Channel in the Proton Exchange Membrane Electrolysis Cell Based on the Taguchi Design
Published 2025-06-01“…This study introduces an innovative uneven wave-like protrusion channel structure for PEMECs, designed to optimize mass transfer and bubble removal while minimizing energy losses. …”
Get full text
Article -
265
Mathematical Models and Algorithms of Optimal Load Management of Electricity Consumers
Published 2019-11-01“…Therefore, it is advisable to use administrative measures in conditions of shortage of power and electricity in the power system. Optimal planning of short-term regimes of power systems according to rigid load profile received after alignment can be carried out by traditional methods. …”
Get full text
Article -
266
The Equal-Time Waypoint Method: A Multi-AUV Path Planning Approach That Is Based on Velocity Variation
Published 2025-04-01“…The resulting paths comply with kinematic constraints while achieving reduced energy consumption. The method enables velocity adjustments across different segments to prevent conflicts. …”
Get full text
Article -
267
Effects of uncertainty in the design parameters during the design of horizontal gravity oil, gas and water separators
Published 2025-02-01“…The results of this study provide a method and tool to aid topside design teams while expanding on previous research in the literature regarding separator design.…”
Get full text
Article -
268
NUDIF: A Non-Uniform Deployment Framework for Distributed Inference in Heterogeneous Edge Clusters
Published 2025-04-01“…Distributed inference in resource-constrained heterogeneous edge clusters is fundamentally limited by disparities in device capabilities and load imbalance issues. Existing methods predominantly focus on optimizing single-pipeline allocation schemes for partitioned sub-models. …”
Get full text
Article -
269
-
270
Study on Vibration Effects and Optimal Delay Time for Tunnel Cut-Blasting Beneath Existing Railways
Published 2025-07-01Get full text
Article -
271
-
272
Loss Function Optimization Method and Unsupervised Extraction Approach D-DBSCAN for Improving the Moving Target Perception of 3D Imaging Sonar
Published 2025-03-01“…For rapid data annotation, a batch annotation method combining human expertise and multi-frame superposition is proposed. …”
Get full text
Article -
273
Unraveling regional variability in Dengue outbreaks in Brazil: leveraging the Moving Epidemics Method (MEM) and climate data to optimize vector control strategies.
Published 2025-06-01“…This study aimed to characterize Brazilian territory based on epidemiological and climate data to determine the optimal time to guide preventive and control strategies. …”
Get full text
Article -
274
AI-Driven Optimization of Smart Spaces: A WASPAS Decision Model to Intelligent Environment Design
Published 2025-01-01“…This research presents a unique computational strategy that addresses the challenges of smart space design by leveraging AI-driven optimization principles. To handle uncertainty and imprecision in data, we propose merging Dempster-Shafer Fuzzy Sets (DSFS) with the Weighted Aggregated Sum Product Assessment (WASPAS) method for multi-criteria decisions. …”
Get full text
Article -
275
-
276
Neural Network-Based Coordinated Virtual Inertia Allocation Method for Multi-Region Distribution Systems
Published 2025-06-01“…This optimization method reduces the frequency variation rate in both regions and maintains relative stability between the regions, thereby enhancing the system’s disturbance rejection capability. …”
Get full text
Article -
277
Upper Extremity Splint ApplicationMaster's MethodMaster's MethodMaster's MethodMaster's MethodMaster's MethodMaster's MethodMaster's Method
Published 2025-08-01“…Generally, upper extremity splints are used as a method of temporary immobilization while awaiting definitive management, which may involve conversion to a cast once the swelling has resolved or following surgical intervention. …”
Get full text
Article -
278
Evapotranspiration Prediction Method Based on K-Means Clustering and QPSO-MKELM Model
Published 2025-03-01Get full text
Article -
279
Optimization of Geometrical Parameters of Coandă-Effect-Based Polymetallic Nodule Collection Device
Published 2025-08-01“…The collection of seabed ore particles is a core technology of exploiting deep sea mineral resources, with wall-attached jet collection technology based on Coandă-effect being considered as a nodule collection method with engineering application potential. Based on the experimentally verified CFD-DEM numerical simulation, the optimization of geometric parameters of the collection device is conducted to improve pick-up efficiency. …”
Get full text
Article -
280
Formation control method for multiple flight vehicles based on adaptive dynamic programming
Published 2025-05-01“…To address these challenges, advanced control methods are essential. Reinforcement learning theory has emerged as a powerful approach to solving optimal control problems in nonlinear systems. …”
Get full text
Article