Interference Model Research Articles

Predictors of health-related quality of life (HRQoL) for caregivers of children with developmental disabilities in Saudi Arabia: An observational study.

To examine predictors of health-related quality of life (HRQoL) for caregivers of children with developmental disabilities, a cross-sectional design was used. Participants were primary caregivers of children with developmental disabilities. Caregivers completed a demographic form about the child and the family, and the Arabic version of Patient-Reported Outcomes Measurement Information System-Profile 29 (PROMIS-29 v2.0). Descriptive statistics were used to report on demographic data, 1-sample Z tests to compare PROMIS domain scores with the general population, and multiple linear regression analyses to identify predictors of each domain. Participants were 111 primary caregivers, mostly mothers (65.8%). Caregivers reported higher levels of anxiety, depression, fatigue, sleep disturbance, and pain interference, and lower levels of physical function and social participation compared to the general population, P < .05. The regression models for predicting the HRQoL accounted for 12.3% of the variance in the physical function domain (P = .016), 13.9% in the anxiety domain (P = .009), 24.7% in the ability to engage in social activities and roles (P < .001), and 11.4% in the pain interference domain (P = .02). In these models, the severity of the child's disability and/or the child's age were common significant predictors. Specifically, child's age was the only significant predictor in 2 domains, the anxiety domain (β = -.29, P < .01) and ability to participate in social activities and roles domain (β = .42, P < .05). The severity of the child's disability was the only significant predictor in the physical function domain (β = -.52, P < .01). Both the severity of the child's disability and the child's age were significant predictors in the pain interference model (β = .40, P < .05), and (β = -.23, P < .05), respectively. However, the models did not significantly predict depression, fatigue, or sleep disturbance, P > .05. HRQoL is a complex construct and is influenced by multiple child and family factors. Implications of the study emphasize the importance of regular HRQoL screening for caregivers, the development of efficient referral systems for support services, and the exploration of respite care options.

Interwell interference model of horizontal wells in shale gas reservoirs based on multi-connected boundary element method

Due to the wide application of closely spaced multi-well horizontal pads for developing unconventional gas reservoirs, interference between wells becomes a significant concern. Communication between wells mainly occurs through natural fractures. However, previous studies have found that interwell communication through natural fractures is varied, and non-communication also appears in the mid and late stages of production due to natural fracture closure. This study proposes a boundary element method for coupling multi-connected regions for the first time. Using this method, we coupled multiple flow fields to establish dual-well models with various connectivity conditions of the stimulated reservoir volume (SRV) region. These models also take into consideration of adsorption and desorption mechanism of natural gas as well as the impact of fracturing fluid retention.The study found that when considering the non-communication of SRV regions between multi-well horizontal pads, the transient behavior of the targeted well exhibits a transitional flow stage occurring before the well interference flow stage. In addition, sensitivity analysis shows that the well spacing and production regime, as well as the connectivity conditions of the SRV region, affect the timing of interwell interference. Meanwhile, the productivity of the two wells, reservoir properties, and fracturing operations affect the intensity of interwell interference.

On obtaining the coupled-mode theory using a model of coupled plane waves for symmetric resonant diffraction gratings

We consider two analytical models describing resonant scattering of light by resonant diffraction gratings possessing a horizontal symmetry plane. For the case of oblique incidence, a multiple interference model is formulated, on the basis of which, a new approach for deriving the coupled-mode theory for the considered structures is proposed. Both considered models describe resonances in the reflectance and transmittance spectra of the studied diffraction gratings arising due to the excitation of quasiguided modes and Fabry–Pérot modes. Interaction of these modes leads to the appearance of bound states in the continuum, which are also described by the proposed models.

Design of an optimized energy-efficient routing protocol for reliable wireless body area networks

Energy limitation is one of the essential parameters in the design of a Wireless body area networks (WBANs) as it is important to improve the lifetime of the network. WBAN routing is an effective approach for establishing energy efficiency sets and assign time slots for the network. Many algorithms that deal with interference model treats the whole WBAN as a minimum interference unit and increase their lifetime cycle. In this research, we report an effective low-energy adaptive clustering hierarchy (LEACH) routing protocol using MATLAB simulation and related C++ simulation codes to enhance the overall performance of the network by improving the energy efficiency and network lifetime cycles. Furthermore, the study sheds light up on the comparison of the protocol and proposes a modified protocol for WBAN. Based on the results obtained from conducting different configurations in the proposed design, the base station should be situated near the network to insure high network performance.

Building reliability of risk assessment of domino effects in chemical tank farm through an improved uncertainty analysis method

The severity and complexity of fire-induced domino effects have received widespread attention. The spatial and temporal evolution process modeling of domino accidents is still stuck in single crisp value, in which the uncertainty will affect the reliability of the results. In this paper, we propose a computational method for uncertainty propagation of the evolution process modeling of the domino effect called Uncertainty Propagation of Domino Evolution Model (UPDEM), aiming to increase the reliability of risk assessment results. The method is capable of obtaining ranges and corresponding probability envelopes for tiame to failure and escalation probabilities, and quantifying uncertainty for all computational models that require input parameters. The uncertainty is quantified based on the evidence theory and a parameter cropping method based on the stress-strength interference model is proposed to optimize the evidence theory. The proposed method is applied to a case study and compared with previous studies. The comparison confirms that the results are more reliable after considering uncertainty and can produce the worst possible scenario consequence. Conducting the sensitivity analysis to prioritize the treatment of parameters and identify effective measures in risk control. The methodology can provide an important reference for decision-makers to prevent and control domino effects.

Refractive index measurement for plane parallel plate using fiber point diffraction lateral interference and numerical modeling

A plane-parallel-plate (PPP) refractive index (RI) measurement method based on fiber point diffraction lateral interferometry and numerical modeling is proposed. Two fiber point light sources (PLSs) generate lateral interference through PPP, and the interferograms are collected by a linear array camera (LAC). Employing ray tracing of an ideal PLS and numerical simulation, the theoretical model of RI measurement is established by polynomial fitting with the RI of PPP as the output, the PPP thickness and the phase change at specific positions of the LAC detector as the inputs. To enhance measurement accuracy, the theoretical model is further corrected using PPP samples with known RI, measured thicknesses and phase changes. The experimental results indicate that the RI measurement accuracy can reach 10−4. Remarkably, this method features a simple structure and eliminates the intermediate optical components, except for the fiber PLSs, PPP samples, and LAC. We demonstrate how to simulate an ideal PLS with fiber PLSs and correct the numerical simulation model to improve the accuracy of RI measurement. Furthermore, this approach can be extended to other optical measurements.

Virtual QCD corrections to gg → ZZ: top-quark loops from a transverse-momentum expansion

We present the virtual corrections due to the top-quark loops for the process gg → ZZ at next-to-leading order in QCD. The associated two-loop box diagrams are computed using a small-transverse-momentum expansion. Our results are then merged with those available in the complementary energy region, obtained via a high-energy expansion, in order to provide an analytic result that is valid in the whole phase space. The results presented allow for an efficient modelling of the signal-background interference as well as the irreducible background in off-shell Higgs production.

Variance estimations in the presence of intermittent interference and their applications to incoherent scatter radar signal processing

Abstract. We discuss robust estimations for the variance of normally distributed random variables in the presence of interference. The robust estimators are based on either ranking or the geometric mean. For the interference models used, estimators based on the geometric mean outperform the rank-based ones in both mitigating the effect of interference and reducing the statistical error when there is no interference. One reason for this is that estimators using the geometric mean do not suffer from the “heavy tail” phenomenon like the rank-based estimators do. The ratio of the standard deviation over the mean of the power random variable is sensitive to interference. It can thus be used as a criterion to combine the sample mean with a robust estimator to form a hybrid estimator. We apply the estimators to the Arecibo incoherent scatter radar signals to determine the total power and Doppler velocities in the ionospheric E-region altitudes. Although all the robust estimators selected deal with light contamination well, the hybrid estimator is most effective in all circumstances. It performs well in suppressing heavy contamination and is as efficient as the sample mean in reducing the statistical error. Accurate incoherent scatter radar measurements, especially at nighttime and at E-region altitudes, can improve studies of ionospheric dynamics and composition.

Modeling and Analysis of Environmental Electromagnetic Interference in Multiple-Channel Neural Recording Systems for High Common-Mode Interference Rejection Performance.

Environmental electromagnetic interference (EMI) has always been a major interference source for multiple-channel neural recording systems, and little theoretical work has been attempted to address it. In this paper, equivalent circuit models are proposed to model both electromagnetic interference sources and neural signals in such systems, and analysis has been performed to generate the design guidelines for neural probes and the subsequent recording circuit towards higher common-mode interference (CMI) rejection performance while maintaining the recorded neural action potential (AP) signal quality. In vivo animal experiments with a configurable 32-channel neural recording system are carried out to validate the proposed models and design guidelines. The results show the power spectral density (PSD) of environmental 50 Hz EMI interference is reduced by three orders from 4.43 × 10-3 V2/Hz to 4.04 × 10-6 V2/Hz without affecting the recorded AP signal quality in an unshielded experiment environment.

Pencil lead etched by plasma: Novel photonic material that can control the reflection from the visible to the infrared region

The development of surface processing technology that modulate the intensity of light reflection over a wide wavelength range has important implications for the application of photonics technology. We previously reported that plasma irradiation to a pencil lead formed structural colors. This phenomenon occurs by the thin-layer interference between the clay in the pencil lead exposed by the plasma etching and the surface graphite of the sample. We now report that a pencil lead irradiated with plasma for a long time becomes a new photonic material that caused interference in the near-infrared or mid-infrared range. The thickness of the clay layer exposed by the plasma etching increased with the increment of the plasma irradiation time, and the reflection spectra in the near-infrared and mid-infrared ranges were changed by the light interferences. In addition, the reflection spectrum pattern of the plasma-treated sample well agreed with the simulated pattern based on a thin-layer interference model. According to this method, photonic materials with the desired reflectance over a wide wavelength range can be produced by varying the plasma irradiation time. Furthermore, the irradiation time required to produce the desired optical material can be estimated by the simulation. The infrared reflective area can be easily controlled by using a masking plastic plate. With this method, we succeeded in forming letters on the sample that could only be read by an infrared camera.

A technique for modeling conductive interferences of an AC/DC flyback converter

Formulation of the problem. Compliance with electromagnetic compatibility (EMC) standards is an important requirement for most pulsed AC/DC converters. However, during preliminary tests, a high level of conductive interference emission into the supply network is often detected. The elimination of this problem requires several iterations of additional work and subsequent product inspections in the EMC laboratory, which leads to a delay in the design time and an increase in the time of use of expensive measuring equipment. Modeling of conductive interference at the stages of circuit design makes it possible to solve the problem in a shorter time without the need for a large number of laboratory measurements. Purpose. Development of a technique for modeling conductive interference in the LTspice circuit modeling program using the example of an AC/DC flyback converter. The technique will allow for an engineering assessment of the conductive interferences level, optimize the converter filters, which reduces the design time spent on achieving the required EMC standards. Results. The proposed technique was used to build a model of a 120-watt flyback converter and simulate the conductive interference generated by it in the frequency range 9 kHz-30 MHz. The absolute error of the model data relative to the spectrograms of the converter ranged from +6.5 dBuV to -4.3 dBuV in the frequency range of 9 kHz-7 MHz. At higher frequencies, the error increased. Practical significance. The developed technique makes it possible to perform a preliminary assessment of the level of conductive interference with subsequent optimization of the converter circuit, which reduces the subsequent quantity of product modifications. The same technique can be used by developers at remote work.

Investigation on cellular LTE C-V2X network serving vehicular data traffic in realistic urban scenarios

The need for reliable vehicular communication is an essential precondition of future Cooperative Intelligent Transportation Systems (C-ITS). The C-ITS applications and their diverse requirements necessitate a hybrid approach that combines ad hoc and cellular networks to support seamless and robust connectivity. While the research showed tremendous potential, the successful adaptation of the hybrid approach depends on the optimal understanding of its impact on network and protocol performance in an actual reference scenario. This work, which has practical implications for the field, focuses on creating a realistic representation of the dual-link-enabled Hybrid Vehicular Network (HVN) in the simulator. Several enhancements were implemented into a network simulator, including multiple Radio Access Technologies (multi-RAT) support, models for path loss predictions, static subscribers, background interference, and SINR throughput mapping within a multi-cell environment. We then presented a parameterized data traffic steering algorithm that enables switching between Dedicated Short-Range Communication (DSRC) and Long Term Evolution (LTE) RAT based on channel congestion and cell load conditions. The simulation result shows the high potential of a dual-link-enabled hybrid approach and its implications on both networks under realistic vehicular networking conditions. The investigations reveal that an intelligent decision to steer traffic can target balanced connectivity and highly reliable vehicular communication at a reduced network load.

Reinforcement Learning Based Resource Management for 6G-Enabled mIoT With Hypergraph Interference Model

Reinforcement Learning Based Resource Management for 6G-Enabled mIoT With Hypergraph Interference Model

Tankyrase 2 promotes lung cancer cell malignancy.

Tankyrase 2 (TNKS2) is a potential candidate molecular target for the prognosis and treatment of non-small cell lung cancer (NSCLC), but its biological functions are unclear. To investigate the biological functions of TNKS2 in NSCLC. Using a lentiviral vector, we generated H647 model cells with TNKS2 knockdown by RNA interference and A549 model cells with TNKS2 overexpression by transfection with a TNKS2 overexpressing plasmid. Increased and decreased expression levels of TNKS2 in the two cell lines were verified using real-time reverse transcriptase-polymerase chain reaction and Western blot analyses. Cell apoptosis, proliferation, and migration were determined using flow cytometry, carboxyfluorescein succinimidyl ester staining, and scratch assay, respectively. Immunofluorescence staining was conducted to examine TNKS2 and β-catenin expression levels in the two transfected cell lines and the non-transfected cells. TNKS2 mRNA and protein expression was significantly higher in the highly malignant NCI-H647 cells, while it remained at a low level in the less malignant A549 cells. Lentivirus-mediated overexpression of TNKS2 in A549 cells resulted in a 3-fold increase in gene expression and a 1.7-fold increase in protein expression (P < 0.01). Conversely, shRNA interference targeting TNKS2 Led to an 8-fold decrease in gene expression and a 3-fold decrease in protein expression (P < 0.01) in NCI-H647 cells. Furthermore, the cell apoptosis rate was significantly reduced (50%) and cell migration rate was increased (35%) in the TNKS2 overexpression group than in the control group (P < 0.05). In contrast, shTNKS2 promoted apoptosis by more than one fold and reduced migration by 60% (P < 0.05). Immunofluorescence analysis revealed enhanced nuclear localization of β-catenin fluorescence signal associated with high TNKS2 expression levels. Western blot analysis investigating TNKS2/β-catenin-related proteins indicated consistent changes between TNKS2 and β-catenin expression in lung cancer cells, whereas Axin displayed an opposite trend (P < 0.05). The obtained results revealed that TNKS2 may serve as an adverse prognostic factor and a potential therapeutic target in NSCLC.

Research on measuring method of self-mixing interference magnetic field based on Faraday effect

In this paper, the magnetic field measurement method of laser self-mixing interference based on the Faraday effect is proposed. The polarization plane of the linearly polarized light is changed by the terbium gallium garnet crystal with the influence of the magnetic field. The light modulated by the magnetic field reentered into the laser cavity through the Brewster window and formed the self-mixing effect. The theoretical analysis of the self-mixing interference model based on the Faraday effect is conducted, which explains essential features of the experimental results. The magnetic field is measured by the peak-to-peak value of self-mixing interference signal. The experimental results show that the relative error of the magnetic field measurement is within ±1.6%. The measurement method has the advantage of simple and compact structure with strong anti-interference ability.

Reliability analysis of aerospace planetary roller screw mechanism considering multiple failure modes

Abstract Faults in planetary roller screw mechanisms under typical aerospace operating conditions are usually caused by the combined effects of multiple coupled failure modes. Reliability analysis methods that ignore correlation often lead to significant errors. In this paper, the failure models of the planetary roller screw mechanism under fatigue elastic failure, wear failure, and fracture failure are analyzed based on the stress-strength interference model, and failure functional functions are provided. The improved O. Ditlevsen second-order reliability bound theory is used to characterize the relationships between multiple failure modes. Using this method, reliability analysis and calculation of planetary roller screw pairs considering multiple failure modes have been performed, verifying the rationality and effectiveness of this method.

System-Level Magnetic Interference Modeling in Electrified Monorail System for Track-Side Safety Design

System-Level Magnetic Interference Modeling in Electrified Monorail System for Track-Side Safety Design

Terahertz time-domain transmission spectroscopy of water and hydrogel thin films: Extraction of optical parameters and application to agarose gel characterization

Terahertz time-domain spectroscopy (THz-TDS) is an emerging optical technique that has potential applications in the characterization of (bio)materials. However, the complicated extraction of optical parameters from multi-layered and optically thin samples is a barrier towards its acceptance by applied scientists. Therefore, the aim of this work is to provide a straightforward approach for the extraction of the THz absorption coefficient and index of refraction profiles of aqueous thin films in a window-sample-window configuration, which is ubiquitous in many laboratories (i.e., sample in a cuvette). A numerical approach-based methodology that accounts for multiple layers, Fabry–Pérot effect, and sample thickness is elaborated which involves an optical interference model based on a tri-layer structure and a simple thickness estimation technique. This method was validated on water samples where a good agreement was found with the THz optical parameters of water reported in the literature, while the use of a commercial software resulted in erroneous optical parameters estimates when used without due regard to its limitations. A case study was then performed to demonstrate the ability of the proposed method to characterize agarose hydrogels with varying degree of sulfation. It was demonstrated that THz-TDS can provide insight into the hydration state of the agarose hydrogels, including the relative number of the hydrogen bonds between the hydroxyl moieties of water and the polysaccharide network which is perturbed by the presence of sulfate. The trend in the index of refraction profiles suggested microstructural differences between the agarose hydrogels, which were confirmed by visualizing the agarose network morphology using cryo-SEM imaging.

Aerodynamic interference analysis and modeling of heterogeneous rotors

During closed-range rotorcraft missions, strong aerodynamic disturbances occur between multiple aircraft, thus affecting the stability and safety of cooperative flight processes. However, owing to the numerous control variables in rotor models, the cost and complexity of experiments and body-fitted grid simulation methods are high, thereby resulting in low analysis efficiency and difficulty in establishing a highly applicable aerodynamic-interference model. In this study, the effectiveness of a two-dimensional quasi-steady momentum source method for calculating the aerodynamic interference of heterogeneous rotors is validated using the sliding-mesh method. Using Latin sampling and momentum source methods to obtain aerodynamic-interference data points, a multiparameter-coupled heterogeneous-rotor aerodynamic-interference model is proposed and validated. The results indicate that the proposed aerodynamic-interference model provides clear physical significance and demonstrates high accuracy under different rotor configurations. In validation samples, the correlation coefficient between the predicted aerodynamic loss on the lower rotor and the computational fluid dynamics (CFD) calculation results is approximately 0.99, with the maximum errors in predicting thrust and moment losses are less than 7 % and 2 %. Meanwhile, the correlation coefficient between the predicted values on the upper rotor and the CFD calculation results is 0.82, with the maximum errors in predicting the dimensionless thrust and moment losses are less than 5.5 % and 1 %. The rapid aerodynamic-interference analysis model proposed herein can serve as a reference for the safe-flight strategy of rotorcraft during close-range cooperative missions.

Double ultraviolet to visible high-Q magnetic plasmon induced reflection with ultralarge Rabi splitting for optical detecting

We theoretically explore double ultraviolet (UV) to visible high-Q magnetic plasmon induced reflections (PIRs) through the coupling between the fundamental magnetic plasmon (MP) mode in single aluminium (Al) nanogroove and the first (second) order surface plasmon polaritons (SPPs) launched by periodic nanogroove arrays, which is predicted analytically by a Fano interference model. The ultrastrong coupling effects between MP and SPP with ultralarge Rabi splitting energy up to 868 meV and 842 meV are obtained in the UV and visible ranges. Due to the high Q-factors of the double PIRs, a significant slow light effect is achieved with the group index up to 65 and 77 in the UV and visible ranges, respectively. The double PIRs show the high sensitivity of 510 nm/RIU and the figure of merit (FoM) of 42, and could be used to monitor analyte layer with a few nanometers, suggesting great potential for label-free biosensing.