Optimal Frequency Research Articles

Improving primary healthcare quality in China through training needs analysis

The diagnosis and treatment capability levels of healthcare professionals directly affect the overall quality of medical services. Enhancing these capability levels requires strengthening the professional skill training of healthcare workers, especially those in primary care settings in economically underdeveloped areas. To understand the actual needs for professional skill training among primary healthcare workers, thereby providing data support for targeted training initiatives. An online survey was conducted using convenience sampling and subsequently, snowball sampling from May 10, 2023 to January 31, 2024. The survey included 3811 healthcare workers across China, and 3617 valid questionnaires were recovered. Descriptive analysis was used to compare the professional backgrounds and training needs of healthcare workers at different medical facility levels. Univariate and multivariate logistic regression analyses were employed to explore factors influencing the training of primary healthcare workers. The survey revealed that 70.1% of respondents were female, and 94.2% were from medical facilities below the provincial level, with 43.2% from township-level or lower medical facilities. Significant differences were found in age distribution, work experience, professional titles, educational levels, and training needs among provincial/national, prefectural/county, and township levels (P < 0.05). Busy clinical work schedules were the primary barrier to training participation. Most healthcare workers (78.7%) expected more than four training sessions per year, with the optimal frequency being quarterly. The most anticipated training topics among primary care workers were latest medical guidelines, new technologies/skills, and advanced management concepts, with over 80% interest. Compared with prefectural/county-level facilities, primary care workers at grassroots facilities are more significantly impacted by lower professional titles, lower education levels, weaker medical/technical skills, and insufficient specialized funding (odds ratio > 1, P < 0.001). Training should be tailored to the needs of healthcare workers at different medical facility levels. Particularly for primary care settings, providing special funding support and training in the latest medical guidelines, new technologies/skills, and advanced management concepts are important to improve the composition of titles, education, and professional technicians.

Optimal Variable Frequency Soft Switching for Interleaved Grid Tied Inverters in Electric Vehicle Charging Applications

Synchronized variable frequency soft-switching is analyzed and implemented in a 3-phase bidirectional grid-tied inverter. The common-mode connected topology and control allow for independent analysis of a single phase leg before six are combined into two interleaved, 3-phase inverters. Effective operation is enabled by discretizing the variable switching frequencies before synchronizing them with a control signal. The resulting inverter can operate at any power factor at power levels up to 50 kVA while maintaining zero-voltage switching (ZVS) throughout the grid cycle. Formal conditions for soft-switching and methods for achieving ZVS while maintaining global synchronization are presented. These conditions are then verified in a simulation. Finally, results for different power factors with and without interleaving are demonstrated in a prototype that achieves &gt;98.1% efficiency when converting all real power.

Theta oscillations optimize a speed-precision trade-off in phase coding neurons

Theta-band oscillations (3–8 Hz) in the mammalian hippocampus organize the temporal structure of cortical inputs, resulting in a phase code that enables rhythmic input sampling for episodic memory formation and spatial navigation. However, it remains unclear what evolutionary pressures might have driven the selection of theta over higher-frequency bands that could potentially provide increased input sampling resolution. Here, we address this question by introducing a theoretical framework that combines the efficient coding and neural oscillatory sampling hypotheses, focusing on the information rate (bits/s) of phase coding neurons. We demonstrate that physiologically realistic noise levels create a trade-off between the speed of input sampling, determined by oscillation frequency, and encoding precision in rodent hippocampal neurons. This speed-precision trade-off results in a maximum information rate of ∼1–2 bits/s within the theta frequency band, thus confining the optimal oscillation frequency to the low end of the spectrum. We also show that this framework accounts for key hippocampal features, such as the preservation of the theta band along the dorsoventral axis despite physiological gradients, and the modulation of theta frequency and amplitude by running speed. Extending the analysis beyond the hippocampus, we propose that theta oscillations could also support efficient stimulus encoding in the visual cortex and olfactory bulb. More broadly, our framework lays the foundation for studying how system features, such as noise, constrain the optimal sampling frequencies in both biological and artificial brains.

Effects of oscillation frequency, phase difference, and arrangement of two triangular cylinders on the hydrothermal performance of a channel

This study aims to numerically explore the effects of two cylinders with triangular cross sections, undergoing transverse oscillation on the heat and fluid flow within a channel. The governing equations along with the pertinent initial and boundary conditions are solved using the finite element method. The results are validated against the available data in the literature, demonstrating admissible agreement. Different oscillation frequencies, phase differences, and arrangement of the cylinders are considered. The results are presented in terms of temperature, pressure, and vorticity contours, alongside the Nusselt (Nu) number and thermal performance index (TPI). The Reynolds number based on the triangle's side length (Reb=200) is deliberately chosen to induce the vortex shedding phenomenon in the wake of the cylinders. For a single oscillatory cylinder, an optimal oscillation frequency fr=0.5 was found resulting in a remarkable increase in 22.3% and 33.1% in the Nu number and TPI, respectively, when compared to the fixed single cylinder. Using the obtained optimal oscillation frequency fr=0.5, the side-by-side arrangement of two cylinders gives rise to a higher TPI than the tandem one. The maximum TPI in side-by-side arrangement corresponds to the oscillation phase of φ=π/6, which is about 1.69. In tandem arrangement, it corresponds to φ=π/3, which is approximately 1.3. Furthermore, the oscillation phase φ=π exhibits the lowest TPI for both arrangements.

Optimization of thermal shock response spectrum as infrared thermography post-processing methodology using Latin hypercube sampling and analytical thermal N-layer model

In this work, we continue to develop and investigate the Thermal Shock Response Spectrum (TSRS) method as an alternative data processing method for infrared thermography (IRT). We focus on improving the current TSRS algorithm and present an optimization methodology for finding the optimal thermal Q-factor and characteristic frequency pair, which is based on the widely applied random sampling method. We show the qualitative relationship between the determined optimal characteristic frequency and the corresponding maximum difference in diffusion length between reference and defective models, as calculated by selecting a specific one-dimensional thermal N-layer model The investigations were performed on an inhomogeneous plate made of carbon fiber reinforced polymer (CFRP) with artificial square defects at different depths. Furthermore, two different heat sources were used: a xenon flash lamp and a laser. These sources are not only distinct by their underlying physics but also generate inherently different pulse shapes. To quantitatively estimate the contrast between defect and non-defect areas, and to compare these results with commonly used infrared thermography (IRT) data post-processing methods such as Pulse Phase Thermography (PPT) and Thermographic Signal Reconstruction (TSR), the Tanimoto criterion (TC) and signal-to-noise ratio (SNR) were used.

Investigation of the performance of oil-free linear compressor with magnetic resonance spring for pulse tube cryocooler

This study proposes a new type of oil-free linear compressor with a magnetic resonance spring, which uses a magnetic resonance spring to provide restoring force and adopts gas-lubricated bearings to provide support force for the piston. The frequency characteristics of the compressor, including magnetic spring stiffness, gas spring stiffness, and resonance frequency, are studied through experiments and theoretical analysis. The magnetic spring stiffness is 31403.31 N/m of the design compressor. Hooke’s law and Fourier decomposition are employed for the gas spring stiffness measuring the compression pressure gauged. Meanwhile, the gas spring stiffness is also obtained from the amplitude-frequency characteristic of the compressor by the back stepping technique with an electric parameter frequency scan. The experimental results demonstrate that the three measurement methods have good consistency in measuring the gas spring stiffness. The equivalent gas spring stiffness measured using the three methods and theoretical model are 72600.92 N/m, 71275.84 N/m, 71967.15 N/m, and 71929.25 N/m at 3 MPa charged pressure measured respectively. In addition, the refrigeration performance of the pulse tube cryocooler driven by the compressor is tested and the lowest temperature obtained in the cold end is 46.3 K under different charge pressure. Furthermore, an optimal frequency exists that enhances the refrigeration performance of the pulse tube cryocooler, and this optimal frequency remains constant regardless of changes in the charge pressure.

An Optimal Load Frequency Control in a Two-Area Power System Using a Fractional Order Proportional- Integral-Derivative-Based Zebra Optimization Algorithm

Load frequency control systems are crucial for maintaining the stability and reliability of power grids. They help ensure that the power supply matches the demand, preventing fluctuations in grid frequency. However, Load frequency control systems have inherent limitations, such as the potential for instability and oscillation if not properly controlled. In this work, A fractional order proportional integral derivative controller is proposed to address this issue, which exhibits strong capabilities in managing parameter uncertainties, rejecting disturbances, and handling non-linear systems controllers. The novel approach in this search is the application of the zebra optimization algorithm to fine-tune controller parameters, a technique not previously used in load frequency control systems. In this Study the two-area power system with a reheat turbine is used a test case for fractional order proportional integral derivative controller, and the system is simulated using MATLAB/SIMULINK. The objective function integral time of square error is used that acts as a bridge of communication between the system's behavior and the control strategy. The performance of this controller is evaluated under disturbance 0.04. The results of the analysis demonstrated that the fractional order proportional integral derivative based zebra optimization algorithm controller outperformed the traditional fractional order proportional integral derivative controller in terms of three essential criteria: overshoot, settling time, and steady-state error. This research contributes to the advancement of load frequency control systems, ensuring reliable and stable power system operation.

Research on the performance of frequency tracking methods for the ultrasonic machining system considering the influence of impedance matching unit

In power ultrasonic systems, impedance matching is a critical technique which enables electrical energy to be fully utilized by the transducer. However, the electrical parameters of the transducer will change when thermal-force loads are applied in the application scenario. Although the transducer can be operated at the optimum frequency point by using resonance frequency tracking (RFT), there is a certain tracking error when tracking the resonant frequency of the transducer in the loaded condition due to the impedance matching unit. To improve the RFT accuracy and the stability of the ultrasonic system, an ultrasonic system with RFT function was designed in this research. Then four commonly used matching topologies were introduced. Secondly, the electrical parameter drift patterns of the ultrasonic device were explored. Based on the patterns, the impedance characteristics of the transducer with four matching topologies after being loaded were revealed. Finally, the theory and experiments were combined to reveal the influence of matching topology and loading effect on the output characteristics of the transducer. The results showed that the Ls and LCL topologies have better resistance to load fluctuation. Meanwhile, after Ls and LCL matching, the phase-locked loop method still has good RFT performance under heavy load conditions. This study can guide the selection of the transducer’s matching topology and RFT methods.

Optimising the Dose of Static Stretching to Improve Flexibility: A Systematic Review, Meta-analysis and Multivariate Meta-regression.

Static stretching is widely used to increase flexibility. However, there is no consensus regarding the optimal dosage parameters for increasing flexibility. We aimed to determine the optimal frequency, intensity and volume to maximise flexibility through static stretching, and to investigate whether this is moderated by muscle group, age, sex, training status and baseline level of flexibility. Seven databases (CINAHL Complete, Cochrane CENTRAL, Embase, Emcare, MEDLINE, Scopus, and SPORTDiscus) were systematically searched up to June 2024. Randomised and non-randomised controlled trials investigating the effects of a single session (acute) or multiple sessions (chronic) of static stretching on one or more flexibility outcomes (compared to non-stretching passive controls) among adults (aged ≥ 18years) were included. A multi-level meta-analysis examined the effect of acute and chronic static stretching on flexibility outcomes, while multivariate meta-regression was used to determine the volume at which increases in flexibility were maximised. Data from 189 studies representing 6654 adults (61% male; mean [standard deviation] age = 26.8 ± 11.4years) were included. We found a moderate positive effect of acute static stretching on flexibility (summary Hedges' g = 0.63, 95% confidence interval 0.52-0.75, p < 0.001) and a large positive effect of chronic static stretching on flexibility (summary Hedges' g = 0.96, 95% confidence interval 0.84-1.09, p < 0.001). Neither effect was moderated by stretching intensity, age, sex or training status, or weekly session frequency and intervention length (chronic static stretching only) [p > 0.05]. However, larger improvements were found for adults with poor baseline flexibility compared with adults with average baseline flexibility (p = 0.01). Furthermore, larger improvements in flexibility were found in the hamstrings compared with the spine following acute static stretching (p = 0.04). Improvements in flexibility were maximised by a cumulative stretching volume of 4min per session (acute) and 10min per week (chronic). Static stretching improves flexibility in adults, with no additional benefit observed beyond 4min per session or 10min per week. Although intensity, frequency, age, sex and training status do not influence improvements in flexibility, lower flexibility levels are associated with greater improvement following both acute and chronic static stretching. These guidelines for static stretching can be used by coaches and therapists to improve flexibility. PROSPERO CRD42023420168.

An efficient low-grade thermal energy dual-driven elastocaloric cooling system: Thermodynamic cycle analysis, economic and sustainability assessment

Elastocaloric cooling is regarded as the most promising emerging refrigeration technology, with heat driven elastocaloric cycles at the forefront of research. However, existing systems often have actuators with a mass of 4–20 times that of the refrigerant, resulting in bulky structures and low thermodynamic efficiency. Enhancing system compactness and efficiency has thus become a critical research challenge. This study proposes an innovative low-grade thermal energy dual-driven elastocaloric cooling system, achieving a 1:1 mass ratio (mActuator/mRefrigerant) between the actuator and refrigerant, significantly improving system compactness and coefficient of performance while effectively reducing costs. A three-dimensional numerical and geometric model was developed to analyze the thermodynamic cycle, examining the effects of material, operational, and geometric parameters on cooling performance, and a “category-wise optimization” strategy was employed to determine optimal parameter combinations. The cost and environmental impacts of the new system were evaluated and compared with vapor-compression air conditioning. Results show that the difference in transformation temperatures between austenite and martensite phases significantly impacts cooling performance. Optimal flow rates and cycling frequencies are essential to avoid performance loss. Considering the coefficient of performance and heat transfer, a 1:1 mass ratio is optimal for geometric parameters. The system achieves a maximum coefficient of performance of 0.158, exceeding the existing two schemes by more than 2 times and 7 times, with a maximum temperature rise of 13.1 K. The proposed system is economically feasible and environmentally friendly, providing valuable theoretical foundations and technical solutions for developing sustainable alternative refrigeration technologies.

Semi-Active Vibration Control for Wind Turbines: A Variable Tuned Mass Damper Approach Utilizing 1st Modal and 3P Tuning

Vibration in wind turbine towers poses a significant threat to the service life and structural integrity of wind turbines. Dampers have been identified as a pivotal strategy for alleviating such vibrations. Despite this, the dynamic behavior of large-scale offshore wind turbines is frequently swayed by wind shear, the tower shadow effect, and the Rotor-Nacelle Assembly (RNA) control system, typically manifesting as responses to the blade passing frequency (3P). To mitigate these vibrations, this study introduces a 3P tuning method for tuned mass dampers (TMDs), alongside a sophisticated design approach that targets optimal frequency and damping ratios. The integration of a semi-active variable-tuned mass damper (SA-V-TMD) offers a dual-mode control solution: The “3P tuning mode” adeptly manages vibrations across a spectrum of operating conditions, while the “1st modal frequency tuning mode” stabilizes the structure during parked states. Simulations substantiate the 3P tuning method’s enhanced efficacy over standard methods under operational conditions. Furthermore, the SA-V-TMD demonstrates superior effectiveness and stability in comparison to traditional TMDs, underscoring its potential as a preeminent solution in wind turbine vibration management.

Breakdown mechanism and application of high frequency pulsed electric field-demulsifier combination on water-in-oil emulsion

High-frequency pulse electric dehydration technology gradually replaced AC (alternating current) and DC (direct current) dehydration because of its technical advantages such as low energy consumption and no electric field collapse. In this paper, a high frequency pulsed electric field-demulsifier combined dehydration technology was proposed. The dehydration performance of high frequency pulsed electric field and the demulsification of high frequency pulsed electric field-demulsifier combined action were analyzed. The effects of pulse amplitude, pulse width ratio, pulse frequency and dehydration time on the dehydration rate of simulated emulsion under high frequency pulsed electric field were discussed, and the optimal electric dehydration parameters were selected. The results show that for the simulated FY crude oil emulsion with a water content of 25 %, the optimal dehydration conditions are pulse amplitude of 1320 V, frequency of 3.86 kHz, pulse width ratio of 75 %, demulsifier AR919 concentration of 60 mg/L, dehydration temperature of 55 °C, and dehydration time of 10 min. Through the study of microscopic water droplet breakdown, the breakdown mechanism of pulsed electric field was revealed: Accumulation by electrophoresis, Dipole coalescence, Accumulation by oscillating. The demulsifier reduced the optimal pulse frequency and pulse width ratio of the pulsed electric field to the demulsification and dehydration of the emulsion, but had no effect on the optimal pulse amplitude. At the same time, the advantages of high frequency pulse electric demulsification in saving energy were calculated. The results show that the dehydration performance of high frequency pulse electric field is much higher than that of AC and DC electric field, and the energy consumption is saved by more than 90 %. The field application also achieved good results.

Automatic Denoising of Seismograms using Fingerprints: Algorithms, Properties, Limitations

This article describes the new technique for automatically preparing a noisy seismic record for further analysis using expert information systems. The technique is based on seismogram fingerprints, which, due to their concise but informative pattern, allow the development of a reliable algorithm for finding important noise characteristics. The search for the optimal cutoff frequency for a high-pass filter is especially important under conditions of partial overlap of the signal and noise spectra at a high intensity of the latter. It is precisely this difficult case that this study aims to address. The article analyzes the developed methodology on the example of several hundred registrations of regional earthquakes and explosions. The analysis showed that reliable results can be achieved in more than 90% of cases. In addition to all the problems and limitations of the method, which are an extension of its capabilities, are mentioned. Appendix to the article contains detailed description of the algorithm underlying the method.

Optimisation of gene expression noise for cellular persistence against lethal events

Bacterial cell persistence, crucial for survival under adverse conditions like antibiotic exposure, is intrinsically linked to stochastic fluctuations in gene expression. Certain genes, while inhibiting growth under normal circumstances, confer tolerance to antibiotics at elevated expression levels. The occurrence of antibiotic events lead to instantaneous cellular responses with varied survival probabilities correlated with gene expression levels. Notably, cells with lower protein concentrations face higher mortality rates. This study aims to elucidate an optimal strategy for protein expression conducive to cellular survival. Through comprehensive mathematical analysis, we determine the optimal burst size and frequency that maximise cell proliferation. Furthermore, we explore how the optimal expression distribution changes as the cost of protein expression to growth escalates. Our model reveals a hysteresis phenomenon, characterised by discontinuous transitions between deterministic and stochastic optima. Intriguingly, stochastic optima possess a noise floor, representing the minimal level of fluctuations essential for optimal cellular resilience.

Electromagnetic induction imaging with a SERF atomic magnetometer

We construct an electromagnetic induction imaging (EMI) system based on a SERF (Spin-Exchange-Relaxation-Free) atomic magnetometer. The homemade SERF magnetometer relies on the optical magnetic resonance absorption to obtain the magnitude of the secondary magnetic fields of object, and only one laser beam is used for both pumping and detection. Besides, by using sub-harmonics in beating signal, the scheme of the imaging system is simplified with fast Fourier transform (FFT) instead of the lock-in amplifier. Overall, our scheme has a simple structure, which is very conducive to miniaturization and portability. In our experiment, the frequency regions of RF and the corresponding magnitude of the generational secondary magnetic field are both investigated to find that the optimal operation RF frequency is about kHz, which lead to a deeper object’s penetration depth. Furthermore, due to the high sensitivity of SERF atomic magnetometer, we can have a clear imaging based solely on the magnitude of the secondary magnetic fields without the information of its phase.

Improving Recovery of Diatoms Bio-Silica Using Chemical Treatment with VAUSTM

High-temperature baking is a typical method to remove organic matter from diatoms, but it is not suitable for bio-silica because of the high crystallinity. This study provides a method using the VAUSTM to remove organic matter from diatoms more quickly and biocompatibly. The optimal frequency for organic matter removal was investigated for domestically produced M. nummuloides. The removal efficiency of TOC/TN was calculated and analyzed. The C and Si elements were analyzed in EDS, and organic matter removal was analyzed by XRD. TOC RE% at a frequency of 35 kHz exhibited the highest value, indicating a statistically significant difference. XRD analysis demonstrated that the organic matter was nearly entirely removed using NaOCl compared to high-temperature-baked M. nummuloides. In the EDS analysis, there were significant differences in the C and Si elements with respect to frequency. This is very similar to the values from the positive control group, high-temperature-baked M. nummuloides. Ultrasonic treatment and frequency adjustments were found to significantly impact the chemical removal of organic matter from M. nummuloides. Although vacuum application was initially considered, it did not demonstrate a statistically significant effect according to TOC analysis.

What is the optimal outcome for evaluating the triage Systems? Insights from a prospective observational study

BackgroundCurrently, there is no universally accepted gold standard outcome for assessing the effectiveness of the Triage Systems. This study aimed to comprehensively evaluate and compare various outcomes utilized in triage studies. MethodsA prospective observational study was conducted at the Emergency Department (ED) of Merano Hospital from June 1 to December 31, 2023. We assessed the predictive capability of the Manchester Triage System (MTS) across multiple outcomes using areas under the receiver operating characteristic curve (AUROC), along with their corresponding 95% confidence intervals (95% CI), and frequency distributions. ResultsThe MTS demonstrated strong performance concerning the most objective outcomes, such as mortality (at 72 h: AUROC 0.914; 95 %CI: 0.815–1; at 7 days: 0.845; 95 %CI: 0.729–0.965; at 30 days: 0.794; 95 %CI: 0.706–0.881), admission to the intensive care unit (0.831; 95 %CI: 0.763–0.899), and need for life-saving interventions (0.870; 95 %CI: 0.806–0.934). Additionally, outcomes such as urgency status and clinical priority, as judged by physicians, exhibited excellent performance and optimal frequency distribution. ConclusionsThe performance of the MTS varied significantly depending on the specific outcome under evaluation. Currently, no single outcome appears superior to others, nor does any seem poised to serve as a potential gold standard for the assessment of triage systems. It is advisable for dedicated working groups to convene and reach a consensus on the most effective outcomes for evaluating the performance of MTS and other triage systems. This should be accomplished through a systematic, standardized, and transparent approach, grounded in the best available evidence.

Towards a Risk-Based Follow-Up Surveillance Imaging Schedule for Children and Adolescents with Low-Grade Glioma.

The frequency and duration of imaging surveillance in children and adolescents with pediatric low-grade gliomas (pLGGs) aims for the early detection of recurrence or progression. Although surveillance of pLGGs is performed routinely, it is not yet standardized. The aim of the current review is to provide a comprehensive synthesis of published studies regarding the optimal frequency, intervals, and duration of surveillance. Several key influencing factors were identified (age, the extent of resection, the tumor location, the histological type, and specific molecular characteristics). However, the lack of consistent definitions of recurrence/progression and the extent of resection meant that it was not possible to perform a meta-analysis of the data from the 18 included articles. This review highlights the need for updating the definition of these terms for uniform and global use both in routine clinical practice as well as in upcoming trials. Thus, future studies on the heterogenous group of pLGGs will allow for the better tailoring of both the frequency and duration of imaging surveillance protocols in relevant settings.

Optimizing Fundamental Frequencies in Axially Compressed Rotating Laminated Cylindrical Shells

Optimizing composite materials, particularly in rotating structures, offers several practical benefits in the mechanical engineering and aerospace engineering industries. Improved material configurations, such as optimal fiber orientations, enhance the structural performance by maximizing stiffness-to-weight ratios and reducing vibrations. This study optimized the fundamental frequencies of rotating laminated cylindrical shells using the golden section method with respect to fiber orientations. The investigation explored the impact of various factors such as end conditions, shell length, axial compressive force, rotating speed, and the size of the cutout on the maximum fundamental frequencies. Additionally, the associated vibration modes and optimal fiber orientations were demonstrated in relation to these influencing parameters. Generally, it was observed that the optimal frequency decreased with increasing length-to-radius ratio and compressive force.

Wind-Induced Vibration Control of High-Rise Buildings with Double-Skin Façades Using Distributed Multiple Tuned Façade-Dampers-Inerters

To address the shortcomings of tuned mass dampers (TMD), such as excessive internal space occupation and overlarge physical mass, this paper proposes a tuned façade damper inerter (TFDI) that utilizes parts of the outer façades of double-skin façades (DSF) as damping mass, capitalizing on the lightweight and efficient characteristics of inerters. The TFDI effectively resolves the challenge of multi-layer connections of inerters in high-rise buildings by utilizing corridor space. By vertically distributing TFDIs, a distributed multiple TFDI (d-MTFDI) system is formed. The configuration and motion of equations of this system are presented, and the control effectiveness is validated using wind tunnel test data. Two tuning modes are further proposed: unified tuning mode and distributed tuning mode. For the unified tuning mode, analytical expressions for optimal tuning frequency and damping ratio are derived; for the distributed tuning mode, numerical optimization methods are employed to determine the optimal tuning frequency range and damping ratio. Comparative results indicate that the distributed tuning mode achieves higher control efficiency than the unified tuning mode, with a significant reduction in the required optimal damping ratio. Furthermore, comparisons with d-MTMD demonstrate that d-MTFDI significantly enhances wind-induced vibration control performance.