Tiny Changes Research Articles

Silica Chemisorbed Bis(Hydrogensulphato)Benzene (SiO2-BHSB) as a New, Environmentally Benign and Recyclable Catalyst for an Efficient Synthesis of Biscoumarin Scaffolds in Water Based Solvent

The immobilization of homogeneous catalytic material over the inert heterogeneous support is a recent strategy to overcome the drawbacks and unite the merits associated with the homogeneous as well as heterogeneous catalysts. However the physisorption-induced immobilization does not serve the purpose because of its sensitive reversible nature, a tiny change in reaction parameters may revert the physisorption and so the immobilization. In this work, a new catalytic material silica chemisorbed bis(hydrogensulphato)benzene (SiO2-BHSB) was achieved through the chemisorption of bis(hydrogensulphato)benzene as an active catalytic part on the surface of porous silica. Structural features, purity, thermal stability, and acid strength of the synthesized SiO2-BHSB material were established by adequate analytical techniques, such as FT-IR, solid-state CP-MAS 13C NMR, solid-state CP-MAS 29Si NMR, EDX, DTG, TGA, and acid–base volumetric studies. An environmentally benign catalytic protocol for the synthesis of biscoumarin scaffolds through a tandem reaction between 4-Hydroxycoumarin and structurally diverse aldehydes was developed in which the synthesized material SiO2-BHSB was observed to work as an efficient and reusable catalyst. The structures of the synthesized biscoumarin derivatives were established from their physical and spectrometric data. The synthesized catalytic material was observed to show sustained catalytic activity even after five cycles of its recovery and reuse. In comparison with the earlier reported methods, a tiny amount (2.5 mol%) of catalyst is sufficient to bring out the transformation smoothly in an aqueous-based solvent, ease of recovery, and reusability of the catalyst are additional salient features of the present protocol.

Fusion of Moment Invariant Method and Deep Learning Algorithm for COVID-19 Classification

The COVID-19 pandemic has resulted in a global health crisis. The rapid spread of the virus has led to the infection of a significant population and millions of deaths worldwide. Therefore, the world is in urgent need of a fast and accurate COVID-19 screening. Numerous researchers have performed exceptionally well to design pioneering deep learning (DL) models for the automatic screening of COVID-19 based on computerised tomography (CT) scans; however, there is still a concern regarding the performance stability affected by tiny perturbations and structural changes in CT images. This paper proposes a fusion of a moment invariant (MI) method and a DL algorithm for feature extraction to address the instabilities in the existing COVID-19 classification models. The proposed method incorporates the MI-based features into the DL models using the cascade fusion method. It was found that the fusion of MI features with DL features has the potential to improve the sensitivity and accuracy of the COVID-19 classification. Based on the evaluation using the SARS-CoV-2 dataset, the fusion of VGG16 and Hu moments shows the best result with 90% sensitivity and 93% accuracy.

Structural Analysis, Phase Stability, Electronic Band Structures, and Electric Transport Types of (Bi2)m(Bi2Te3)n by Density Functional Theory Calculations

Thermoelectric power generation is a promising candidate for automobile energy harvesting technologies because it is eco-friendly and durable owing to direct power conversion from automobile waste heat. Because Bi−Te systems are well-known thermoelectric materials, research on (Bi2)m(Bi2Te3)n homologous series can aid the development of efficient thermoelectric materials. However, to the best of our knowledge, (Bi2)m(Bi2Te3)n has been studied through experimental synthesis and measurements only. Therefore, we performed density functional theory calculations of nine members of (Bi2)m(Bi2Te3)n to investigate their structure, phase stability, and electronic band structures. From our calculations, although the total energies of all nine phases are slightly higher than their convex hulls, they can be metastable owing to their very small energy differences. The electric transport types of (Bi2)m(Bi2Te3)n do not change regardless of the exchange–correlation functionals, which cause tiny changes in the atomic structures, phase stabilities, and band structures. Additionally, only two phases (Bi8Te9, BiTe) became semimetallic or semiconducting depending on whether spin–orbit interactions were included in our calculations, and the electric transport types of the other phases were unchanged. As a result, it is expected that Bi2Te3, Bi8Te9, and BiTe are candidates for thermoelectric materials for automobile energy harvesting technologies because they are semiconducting.

Structure Frustration Enables Thermal History-Dependent Responsive Behavior in Self-Healing Hydrogels

Biological soft tissues usually execute their functions via nonequilibrium and dynamic structural transformations. By contrast, functional hydrogels are mainly constructed by implementing static and equilibrium structures in the polymer network. Here, using polyampholyte hydrogel as a model system, we demonstrated that the nonequilibrium structure transformation in self-healing hydrogels enables the gels with many new features, including thermal history dependence, quick and asymmetric thermal response (instant transparent-to-turbid transition but slow turbid-to-transparent transition), tunable cloud point, tunable recovery time, and tiny changes in sample size and mechanical performance. These features make them distinct to conventional thermoresponsive hydrogels based on thermodynamic equilibrium and endow them with a new type of promising thermoresponsive materials. We revealed the structure change and studied the role of the thermal protocol on this thermoresponsive behavior by combining ultraviolet spectrum, small-angle X-ray scattering, rheology, and mechanical measurements. We also presented two conceptual applications of this thermoresponsive hydrogel in thermal imaging and security paper. We believe that this work will inspire future research on creating functional hydrogels via nonequilibrium structure transformations.

Shaped DNA origami carrier nanopore translocation influenced by aptamer based surface modification

DNA origami is widely used as a translocation carrier to assist solid-state nanopore analysis, e.g., soft linear origami carrier and special-shaped origami structures. In the linear origami carriers based nanopore sensing, molecular modifications induced tiny structural and charge changes, can result in significant variations on translocation signals to facilitating single-molecule sensing. However, an understanding on the influences of surface modifications on special-shaped DNA origami structures during solid-state (SS) nanopores translocation is still far elusive. Herein, we reported a surface modification strategy using aptamer/target-binding to influence the translocation of the shaped origami ribbon carrier through SS-nanopore. Our measurements indicate that the translocation signal variations can respond to ATP/aptamer binding on the carrier surface, even to the surface modifications induced by spatial distributions and enzyme catalysis. Meanwhile, the results also suggest a possibility to identify small spatial and electronic changes on DNA origami by using SS-nanopore. We envision that the surface aptamer-binding influenced origami translocation strategy could find more applications in origami carrier assisted SS-nanopore sensing and detection.

Specific Screening of Prostate Cancer Individuals Using an Enzyme-Assisted Substrate Sensing Platform Based on Hierarchical MOFs with Tunable Mesopore Size.

Rapid and specific identification of tumor metabolic markers is of great significance. Herein, a convenient, reliable and specific strategy was proposed to screen prostate cancer (PCa) individuals through indirectly quantifying sarcosine, an early indicator of PCa, in the clinical urine samples. The success roots in the rational design of a cascade response model, which takes integrated sarcosine oxidase (SOX) as a specific recognition unit and oxygen-sensitive molecule as a signal reporter. The newly developed hierarchical mesoporous Zr-based metal-organic frameworks with continuously tunable mesopore size ensure the synergetic work of the SOX and response unit spatially separated in their neighboring mesoporous and microporous domains, respectively. The large mesopore up to 12.1 nm not only greatly enhances the loading capacity of SOX but also spares enough space for the free diffusion of sarcosine. On this basis, the probe is competent to specifically check out the tiny concentration change of sarcosine in the urine sample between PCa patients and healthy humans. Such a concept of enzyme-assisted substrate sensing could be simply extended by altering the type of immobilized enzymes, hopefully setting a guideline for the rational design of multiple probes to quantify specific biomarkers in complex biological samples.

Investigation on a multiwindow spin Hall effect and its applications based on a periodic superconducting structure with evanescent waves

In this paper, a periodic superconducting structure (PSS) with a multiwindow spin Hall effect (SHE) is proposed. Through using the multipeak and angle-sensitive characteristics of the evanescent wave, transmission defects at different angles are achieved for p waves and s waves. Based on this, the multiwindow SHE can be obtained by controlling the number of transmission peaks. Both the horizontal and vertical components possess a considerable displacement. The number of the window is inversely proportional to the value of displacement. The effects of temperature and ordinary dielectric on the two displacements are also discussed. The calculated results show that the temperature has little impact. While the refractive index of ordinary dielectric increases from 1.924 to 2.124, the positions of the two displacements quickly grow from 0° to 80°. Besides, a linear range can be found, and the optimal sensitivity can reach over 253.9 ∘ ⋅ R I U − 1 , which is suitable for detecting tiny changes in the refractive index. Our investigation provides theoretical guidance for obtaining the multiwindow SHE and a refractive index sensor with high precision.

Increasing trends in dietary total fat and fatty acid intake among Korean children: using the 2007-2017 national data.

BACKGROUND/OBJECTIVESThe prevalence of obesity has been increasing in Korean children. As an unhealthy diet is known as one of the major determinants of childhood obesity, assessing and monitoring dietary fat intake of children is needed.SUBJECTS/METHODSThis analysis included 9,998 children aged 3–11 yrs from the 2007–2017 Korea National Health and Nutrition Examination Surveys. Dietary data were obtained from a single 24-h dietary recall. Intakes of total fat and fatty acids, including saturated fatty acid (SFA), monounsaturated fatty acid (MUFA), polyunsaturated fatty acid (PUFA), n-3 fatty acid (n-3 FA), and n-6 fatty acid (n-6 FA) were evaluated as the absolute amount (g) and proportion of energy from each fatty acid (% of energy). The total fat and SFA intake were also assessed according to compliance with dietary guidelines. Linear trends in the dietary fats intake across the survey period were tested using multiple regression models.RESULTSTotal fat intake significantly increased from 38.5 g (20.3% of energy) to 43.4 g (23.3% of energy) from 2007 to 2017. This increase was mainly accounted for the increases in intakes of SFA (7.2% to 8.4% of energy) and MUFA (6.2% to 7.5% of energy). PUFA intake increased from 4.4 to 4.7% of energy during the 11-yrs period: from 0.57 to 0.63% of energy for n-3 FA and from 3.8 to 4.1% of energy for n-6 FA. The proportions of children who consumed amounts exceeding the dietary guidelines for total fat and SFA significantly increased from 2007 to 2017, with increases from 9.8% to 17.4% for total fat and from 36.9% to 50.9% for SFA.CONCLUSIONSProminent increasing trends in the consumption of total fat and SFA but tiny change in n-3 FA intake were observed in Korean children. The healthy intake of dietary fats should be emphasized in this population.

High-Temperature and High-Sensitivity Pressure Sensors Based on Microwave Resonators

This paper reports a novel diaphragm-assisted open-ended hollow coaxial cable resonator (OE-HCCR) for highly sensitive pressure measurements at elevated temperatures. The coaxial line resonator is constructed using two highly reflective reflectors in a homemade hollow coaxial cable, including a metal post shorting the two concentric conductors (i.e., the inner conductor and the outer conductor) and the open end of the coaxial line. In the pressure sensor device design, a sealed metal diaphragm is mounted on the open end of the OE-HCCR and is employed as the pressure responsive element. The diaphragm’s deflection can be accurately captured by the coaxial line resonator in real-time, in response to a change in differential pressure. The sensor device’s responses to hydraulic pressures at ambient temperature and air pressures at elevated temperatures up to 1000 °C were investigated in the demonstration experiments, showing user-configurable measurement sensitivity and high-temperature survivability. The device’s pressure measurement resolution is also demonstrated as high as sub-Pascal by probing tiny hydrostatic pressure changes. A positive feedback loop is constructed as an alternative interrogator for the novel device, showing high signal quality and ease of demodulation. The pressure sensor described in this work is robust, easy-to-manufacture, user-configurable, low-cost, highly sensitive, and has great potential for industrial applications involving high-temperature and harsh environments. The presented work opens new avenues to develop a new generation of high-sensitivity and high-temperature microwave sensors based on well-known open-ended coaxial probes.

An incipient fault diagnosis methodology using local Mahalanobis distance: Detection process based on empirical probability density estimation

Incipient fault detection is growing as a challenging and hot topic in industrial and academic areas. It is essential to avoid slight unpermitted changes of a system state that can be aggravated and lead to severe security issues. The main challenge of this problem lies in the fact that tiny changes in the early stage can be blurred with noise and create confusion leading to poor detection performance of typical fault detection methods. To detect subtle deviations buried in noise and cope with the non-Gaussian distributed data condition while keeping with the time series information, a sensitive fault detection methodology combining a specifically tuned Local Mahalanobis Distance (LMD) algorithm and an Empirical Probability Density (EPD) estimation technique is proposed. More specifically, first, a healthy domain estimation is proposed to compute the local Mahalanobis distance with optimally tuned characteristics. To approximate a healthy domain, this work proposes a down-sampling algorithm for anchors generation and a parameter estimation method optimally tuned and based on Generalized Extreme Value distribution (GEV) for the domain margin selection. Subsequently, the EPD cumulative sum technique is applied to the LMD result for improving the detection sensitivity further. The performance analysis based on simulation data shows that our proposal is effective to non-Gaussian data and sensitive for incipient fault detection. A case study based on the Continuous-flow Stirred Tank Reactor (CSTR) further validates the effectiveness of our proposal and highlights its benefit by comparing it with state-of-the-art-based solutions in terms of detection delay, detection probability, false alarm probability, and area under the receiver operating characteristic curve (AUC).

Fabrication and evaluation of multilevel Janus-imprinted nanocomposite membranes through a connective method of dip-coating and delayed phase inversion for simultaneous adsorption and separation of tetrabromobisphenol A and cadmium ion

Janus imprinted membrane (JIM) fabricated through the connective method of phase inversion and dip-coating processes has gained considerable attention in the separation field. Herein, a JIM with specific artificial receptors was prepared for the selective adsorption and separation of tetrabromobisphenol A (TBBPA) and cadmium ion (Cd2+). Dip coating method performed on the smooth surface of plate glass was used for the growth of polyaniline (PANI) imprinted polymers with specific imprinted cavities for TBBPA. The casting solution was coated on the imprinted polymers, which was then immersed into the coagulating bath containing gallic acid (GA) to achieve a delayed phase inversion process. The adsorption results showed that the rebinding capacities of the JIM for TBBPA and Cd2+ were 58.279 mg g−1 and 83.159 mg g−1, respectively. Meanwhile, the JIM exhibited superior rebinding selectivity with selectivity coefficients of 2.56, 2.87, 3.07, 2.52, 3.53, 3.66 and 4.05 for Pb2+, Cu2+, Zn2+, Sn2+, Hg2+, Co2+ and Cr3+ and 2.44, 2.56, 2.67 for BP, BPA and BBPA, respectively. The synthesized JIM showed tiny changes in rebinding capacity after 10 times cycles, revealing desirable regeneration performance. Finally, the pollutants on membrane surface were severally collected to avert the secondary pollution. The current study demonstrated that connective method is a promising method for selective rebinding and sorting treatment of different pollutants.

A feasibility study on monitoring of weld fatigue crack growth based on coda wave interferometry (CWI)

Fatigue induced cracks in welds may result in the failure of welded structures and therefore it is important to detect the fatigue crack in the early stage. In this paper, we proposed a coda wave interferometry (CWI)-enabled fatigue cracks detection method using piezoceramic transducers. Because of its high sensitivity to the tiny change in the medium, the CWI method employs the multiple scattered coda waves to detect the slight change of welding fatigue cracks. Firstly, a theoretical model is developed by combining the CWI theory with the acoustoelastic effect. The derivation shows that there is a linear relationship between the crack width change and the coda wave relative velocity variation. To verify the correctness of the derived result, the CWI technique is applied to the detection of micro fatigue cracks of three butt welded specimens under fatigue loading. Experimental results show that the relative velocity variation of coda wave increases linearly with the increase of the width of welding fatigue cracks. In addition, energy-based active sensing (EAS) approach was also used as a comparison. Compared with the EAS method, the CWI technique is more sensitive to slight changes of welding fatigue cracks and therefore holds a great potential for the monitoring of micro fatigue crack in the early stage.

Aptamer-superparamagnetic nanoparticles capture coupling siderophore-Fe3+ scavenging actuated with carbon dots to confer an “off-on” mechanism for the ultrasensitive detection of Helicobacter pylori

The detection of Helicobacter pylori infection in human feces is an appropriate non-invasive diagnostic method. However, the antibody-dependent stool antigen immunoassay bears many challenges. Therefore, we developed an antibody-independent biosensing platform. The core of this platform was a triple-module biosensor. The first module was Ca2+-doped superparamagnetic nanoparticles modified with an H. pylori-specific aptamer, functioning to selectively capture H. pylori cells from samples. The second module was a bifunctional co-polymer of chloroprotoporphyrin IX iron (III)-polyethylene glycol-desferrioxamine, which could bind to H. pylori with high affinity and chelate Fe3+ from the third module of Fe3+-quenched carbon dots (CDs) solution. When the formed module 1-H. pylori-module 2 complexes reacted with module 3, a subsequent magnetic separation could scavenge Fe3+, causing fluorescence recovery from quenched CDs as the transducing mechanism. This transducer could respond to tiny changes in Fe3+ concentration with distinguishable fluorescence differences, thus conferring the biosensor with high sensitivity, a wide detection range of 10–107 CFU/mL and a limit of detection (LOD) as low as 1 CFU/mL. From simulated human stool samples, H. pylori was enriched with a centrifugal microfluidic plate to eliminate any interference from matrices, and the bacteria were subjected to detection using the biosensor. The actual LOD for the biosensing platform coupling microfluidics and the biosensor was 101, and the total time taken was 65 min. This work showcases an instant, accurate, and ultra-sensitive diagnosis of H. pylori in feces.

Emended heap-based optimizer for characterizing performance of industrial solar generating units using triple-diode model

This paper presents an emended Heap-based optimizer (EHBO) for characterizing the accurate-performance of three-diode-based model (3DbM) of solar generating units (SGUs). The accurate extraction of the 3DbM parameters is an important issue to meet the actual characteristics of SGUs. Therefore, a better-quality version of HBO, named EHBO, is proposed to attain the same. As the complicated natures accompanied with the 3DbM such as multi-variable, multi-modal as well as its sensitivity to tiny changes, an EHBO is introduced through two improvements viz Hill-Climbing strategy (HCS), and informed searching-based learning strategy (ISLS). The HCS assists the algorithm to attain the promising areas of the search space and then enriches the diversity as well as the exploration capability while the ISLS aims to bolster the quality of the best individual and thus, can enable the exploitation ability. Therefore, EHBO is faster and more accurate than the classical HBO in achieving the global optimum as well as balancing exploration and exploitation abilities. The proposed EHBO is investigated on three commercial SGUs, namely, PWP-201, Kyocera polycrystalline KC200GT, and Ultra 85-P with maximum cropped errors of 2.0507 mA, 0.2211 mA, and 2.417 mA for these modules; respectively. Comprehensive experiments with comparisons are conducted to show the effectiveness and efficacy of the EHBO based model versus other competing optimizers. Based on the conducted investigations, it can be confirmed that the EHBO is a promising optimization method to deal with uncertain parameters of SGUs with different technologies.

Quantification of airfoil aerodynamics due to geometric uncertainties based on adjoint method

ABSTRACT Random geometric errors will inevitably be introduced into wings in the manufacturing and assembly process. These errors will result in the differences between the aerodynamic force of the actual wing and that of the original design, so it is necessary to use the uncertainty quantification (UQ) method to study the differences’ influence on the aerodynamic performance. An adjoint method with singl point Taylor expansion approximation (STE) is applied in this study to quantify the airfoil aerodynamic uncertainty due to the tiny geometric uncertainties of an airfoil. A multi-point Taylor expansion approximation (MTE) approach is proposed to calculate the variation of the aerodynamic performance caused by the tiny random geometric changes. It shows better accuracy compared with the adjoint with STE. The uncertainty quantification shows noticeable effect of geometric increments on airfoil aerodynamic performance and provides useful error bar.

Effect of Pressure on Second Dendrite Arm Spacing and Columnar to Equiaxed Transition of 30Cr15Mo1N Ingot

In order to clarify the effects of pressure on the second dendrite arm spacing (SDAS) and columnar to equiaxed transition (CET) of 30Cr15Mo1N ingot, changes in solidification parameters, cooling rate and columnar dendrite tip growth rate with pressure have been investigated. A formula is proposed to obtain the quantitative correlation between pressure (≤ 2 MPa) and interfacial heat transfer coefficient: . And then, A formula is proposed to calculate SDAS with cooling rate: , which is applicable for low pressure (≤2 MPa) and low cooling rate (0.4–1.4 K · s−1). There are tiny changes in solidification mode and equilibrium partition coefficient with increasing pressure from 0.5 to 2 MPa. Therefore, increasing pressure refines SDAS mainly by enlarging cooling rate. Pressurization can increase columnar dendrite tip growth rate by enhancing undercooling, and inhibit nucleation and growth of equiaxed dendrite by decreasing constitutional undercooling. It results that the distance between the center of ingot and CET position decreased with increasing pressure from 0.5 to 2 MPa. And a formula is proposed to calculate columnar dendrite tip growth rate with undercooling: , which is suitable for low pressure (≤2 MPa).

A secure image cryptosystem via multiple chaotic maps

This work focused on introducing a new two-dimensional (2D) chaotic system. It is combined of some existing maps, the logistic, iterative chaotic map with infinite collapse, and Henon maps; we called it 2D-LCHM. The assessment of the actual performance of 2D-LCHM presents its sensitivity to a tiny change in the initial condition. Besides, its dynamics behavior is very complicated. It also has hyperchaotic properties and good ergodicity. The proposed system is occupied with designing a new image encryption system. Changing the image pixels’ locations is the primary step in the encryption process. The original image is splitting into four blocks to create four different keys based on 2D-LCHM; this reduces the computation time and increases the complexity. To obtain the encryption image, we have to repeat the partitioning process several times for each block. The encryption image’s efficiency is shown through some performance analysis such as; image histogram, the number of pixels changes rate (NPCR), the unified average changing intensity (UACI), pixels correlation, and entropy. The proposed system is compared with some efficient encryption algorithms in terms of chaocity attributes and image performance; the analysis result showed consistent improvement.

Robust and sensitive metamaterial-inspired microfluidic sensor for liquids with low dielectric constants

In this paper, we present a low-cost, robust and high-sensitivity microwave-microfluidic sensor based on Asymmetric Electric Spilt-Ring Resonator (AESRR). The designed AESRR structure based on FANO resonance can improve the sensitivity of sensor greatly. The proposed sensor, which operates at around 10.50 GHz in the X-band and has a higher operating frequency over traditional microwave sensors, is designed to identify liquid samples with low permittivity and determine their dielectric constants. T-shape channels are integrated to the sensor by grooving in the substrate to improve device integration. The stable measured results show that the resonant frequency shift ∇f is around 60 MHz for a tiny permittivity change ∇ε of 1. To estimate the dielectric constants of the liquids under test, a fitting model was built and the numerical calculation agree well with the measured data. A parabolic equation was established and can be used to determine the dielectric constant of liquid samples with low dielectric constant according to the measured resonant frequency. As a passive device, this metamaterial-microfluidic sensor offers a potential lab-on-chip solution for liquids with low dielectric constant effectively.

Spectroscopic study of the effect of low dose fast neutrons on the hemoglobin structure

Cosmic rays, nuclear accidents, and neutron therapy could be sources for exposure to low-dose fast neutrons. However, the study of low dose effects needs sentient techniques to detect slight alteration happen by this low dose. Herein, the effects of low-dose fast neutrons on the structure of hemoglobin (Hb) using spectroscopic techniques, namely, Fourier transform infrared (FTIR), Raman, and ultraviolet–visible (UV–Vis) spectroscopic. Forty (20 control/20 irradiated) female Wistar rats were used in this work. The irradiated rats were irradiated to low-dose at a total dose of 10 mGy from a fast neutron source (241Am-Be, 0.2 mGy/h). Multivariate analyses were applied to differentiate between the control and irradiated rats’ Raman spectra. The erythrocytes samples were isolated from whole blood to explore the Hb structure. FTIR results revealed changes in the ν(S-H) bond of α-104 and β-93 cysteines by low-dose fast neutrons. Raman spectra showed changes in the spin state and oxidation state of the iron atom of the Hb. Besides, deformation in methine C-H was recorded. UV–Vis spectroscopy disclosed that the irradiated rats might be more susceptive to oxidation than control rats. The study deduced that the low dose fast neutron could cause tiny Hb structure changes by indirect effects. Besides, the spectroscopic techniques showed a potent ability to reveal tiny changes in the Hb structure that happened by a low dose of fast neutrons.

Experimental Study of See-Saw Mode Nano-Vibration on Orifice-Type Restrictors

Slide stability is key to the aerostatic guide in ultra-precise machines; thus, it has garnered plenty of attention. Macro-scale studies are commonplace, but micro- and nano-vibration issues require more attention. Microscope vibration is mainly caused by tiny changes in the fluid parameters of lubricating gas film, which is complex and has no verdict. In this case, slide-gas interaction should be considered. In this study, the widely used orifice-type restrictor was investigated for its nano-vibration performance. A Comsol finite-element-method fluid–structure interaction model was used to simulate and analyze an orifice-type restrictor, and orifice-restrictor vibration characteristics at the nanometer scale were inspected using a high-performance laser vibrometer. The results demonstrate that see-saw mode vibrations occur in the restrictors, growing stronger with increased air-supply pressure. The see-saw vibration’s axis is speculatively determined based on orifice and restrictor structures, and the vibration type is related to the number of orifices. The results also show that the vibration is random with natural frequencies at the kilohertz level. The newly provided research results are beneficial for better understanding the nano-vibrations of orifice-type restrictors.