Strong Components Research Articles

‘People of the barracks’: Meta-beliefs of a migrant community in West Kalimantan, Indonesia

Literature discussing contents of meta-beliefs, or beliefs about other beliefs, and what effects they have on intergroup relationships, specifically among disadvantaged groups are rare. Our study aims to explore meta-beliefs among the resettled Sambas Madurese community, in West Kalimantan, Indonesia, who were affected by the 1999 Sambas Conflict. We adopted an ethnographic approach, with a three-month live-in duration, conducting interviews, casual conversations, and taking part in community activities. Our findings reveal two important contents of meta-belief held by the Sambas Madurese migrants: ‘people of the barracks’, and ‘evil and criminal’. As a disadvantaged group, the Sambas Madurese resort to more covert and subtle forms of resistance, mainly through reappropriation and daily life changes to disprove meta-beliefs. Here, reappropriation of those negative meta-beliefs, mainly linked to moral superiority, is employed. It is observed that the contents of meta-belief go beyond cognitive aspects, including strong emotive components and behavioral responses. Our study hopes to contribute to a discussion on intergroup relationships among host and disadvantaged migrant communities from ethnic conflict backgrounds.

Hapstick-Figure: Investigating the Design of a Haptic Representation of Human Gestures from Theater Performances for Blind and Visually-Impaired People

Theaters serve as platforms that transport audiences into diverse worlds, offering a collective enjoyment of live performances and a shared cultural experience. However, theater performances have strong visual components, such as physical props and actors’ movements and gestures, which are inaccessible to visually impaired and blind audience members and thus can exclude them from such shared social experiences. We conducted formative interviews with eight blind and visually impaired people about their experiences with barriers to theater performance gestures. We then present Hapstick-Figure, a prototype design to represent and communicate human gestures via a 3D-printed tactile surface. Next, we used Hapstick-Figure as a technology probe in a qualitative evaluation with six of our BVI participants to explore non-visual interpretation and engagement with this prototype. We outline insights into the haptic representation of theater performance gestures and reflections on designing for accessibility in this context.

Robert (Bob) Anthony Altemeyer (1940-2024).

Robert (Bob) Anthony Altemeyer (June 6, 1940-February 7, 2024) was an influential social psychologist who also shaped personality and political psychology. Born in St. Louis, Missouri, Bob was educated at Yale (undergraduate) and Carnegie-Mellon (graduate). Following a 2-year stint at Doane College in Nebraska, he established his career at the University of Manitoba (Winnipeg, Canada) from 1968 to 2008. In 1986, Bob was awarded the prestigious American Association for the Advancement of Science Prize for Behavioral Science Research, largely for his development of the right-wing authoritarianism (RWA) construct. Whereas the authoritarian personality construct developed by Adorno and colleagues in the 1950s was rooted in psychodynamics, Bob drew on social learning principles and conceptualized authoritarianism as both an attitudinal orientation and trait. Not all of Bob's ideas held true, such as the social learning underpinnings that he proposed for RWA. But true to his inquisitive nature, he wrote that he would be excited to learn of RWA's strong heritable components if uncovered (as they later were). An anticonformist to the core, Bob published almost exclusively in books despite the field prioritizing journal articles, typically as sole author and working with few collaborators, and writing about complex ideas with rather informal and unconventional language. His legacy is proof that fighting the odds and remaining authentic, rather than chasing conventions and norms, can leave an indelible mark on science. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Current Approaches for the Prevention and Treatment of Acute and Chronic GVHD.

Whereas aGVHD has strong inflammatory components, cGVHD displays autoimmune and fibrotic features; incidence and risk factors are similar but not identical; indeed, the aGVHD is the main risk factor for cGVHD. Calcineurin Inhibitors (CNI) with either Methotrexate (MTX) or Mycophenolate (MMF) still represent the standard prophylaxis in HLA-matched allogeneic stem cell transplantation (HSCT); other strategies focused on ATG, Post-Transplant Cyclophosphamide (PTCy), Abatacept and graft manipulation. Despite the high rate, first-line treatment for aGVHD is represented by corticosteroids, and Ruxolitinib is the standard second-line therapy; investigational approaches include Microbiota transplant and the infusion of Mesenchymal stem cells. GVHD is a pleiotropic disease involving any anatomical district; also, Ruxolitinib represents the standard for steroid-refractory cGVHD in this setting. It is a pleiotropic disease involving any anatomical district; also, Ruxolitinib represents the standard for steroid-refractory cGVHD in this setting. Extracorporeal Photopheresis (ECP) is still an option used for steroid refractoriness or to achieve a steroid-sparing. For Ruxolitinib-refractory cGVHD, Belumosudil and Axatilimab represent the most promising agents. Bronchiolitis obliterans syndrome (BOS) still represents a challenge; among the compounds targeting non-immune effectors, Alvelestat, a Neutrophil elastase inhibitor, seems promising in BOS. Finally, in both aGVHD and cGVHD, the association of biological markers with specific disease manifestations could help refine risk stratification and the availability of reliable biomarkers for specific treatments.

Phytochemical profiles, bioactivities, and molecular docking and molecular dynamics approaches of endemic Campanula baskilensis Behçet (campanulaceae)

Campanula species have phenolic derivatives with a broad biological potential. This study aimed to investigate the chemical contents, bioactivities, and prediction of the biological effect mechanism using the molecular docking study for C. baskilensis (CB) leaf (L), root (R), and stem (S) extracts.CBL gave the highest phenolic contents as hesperidin at 7.56 mg/g extract. Total phenolic and flavonoid contents of CBS were determined as 3.12 ± 0.05 mg GAE/g and 1.11 ± 0.11 mg QE/g, respectively. CBS and CBL exhibited high DPPH• scavenging, H2O2 scavenging, AChE, BChE, carbonic anhydrase, lipase, and tyrosinase inhibition effects and demonstrated potent antimicrobial activity. The strong phenolic components of CBS and CBL extracts contributed to their biological activities. According to the molecular docking results, a high inhibition effect was observed on the inhibition activities due to the presence of hesperidin, which is the highest main component of the extracts. Additionally, docking studies were performed on hesperidin for the first time. Dynamics study showed that the interaction between the hesperidin and BChE increased stability, producing a stable complex form within 100 ns. In conclusion, C. baskilensis extracts, especially hesperidin, may be promising potential sources for neurological diseases and complementary medicine.

Experimental investigation of heat treatments on the mechanical performance of grade 300 maraging steel strut-based lattices

Lightweight and strong components are essential for reducing energy consumption and enhancing efficiency. Lattice structures are one such geometry utilized to achieve weight reduction. This study investigates the mechanical properties of various lattice structures fabricated from Maraging Steel (EOS MS1) using the Direct Metal Laser Sintering (DMLS) method. The samples include three distinct cellular geometries: body-centered cubic (BCC), face-centered cubic (FCC), and octet truss configurations, which are subjected to tensile and compressive tests. The primary goal of this research is to evaluate the impact of heat treatment on the mechanical properties of cellular architecture under tensile and compressive loading conditions. Destructive, nondestructive testing, and simulation results were also obtained from different heat treatment processes. It was found that the age-hardened specimens performed the best overall in terms of ultimate tensile/compressive strength and elongation. The top-performing topologies in compression and tension were found to be the octet structure, as they were able to withstand the most loading and straining when compared to the other specimens.

GRB 190114C: Fireball Energy Budget and Radiative Efficiency Revisited

The jet composition of gamma-ray bursts (GRBs), as well as how efficiently the jet converts its energy to radiation, are long-standing problems in GRB physics. Here, we reported a comprehensive temporal and spectral analysis of the TeV-emitting bright GRB 190114C. Its high fluence (∼4.4 × 10−4 erg cm−2) allows us to conduct the time-resolved spectral analysis in great detail and study their variations down to a very short timescale (∼0.1 s) while preserving a high significance. Its prompt emission consists of three well-separated pulses. The first two main pulses (P 1 and P 2) exhibit independently strong thermal components, starting from the third pulse (P 3) and extending to the entire afterglow, the spectra are all nonthermal, and the synchrotron plus Compton upscattering model well interprets the observation. By combining the thermal (P 1 and P 2) and the nonthermal (P 3) observations based on two different scenarios (global and pulse properties) and following the method described in Zhang et al., we measure the fireball parameters and GRB radiative efficiency with little uncertainties for this GRB. A relevantly high GRB radiative efficiency is obtained based on both the global and pulse properties, suggesting that if GRBs are powered by fireballs, the efficiency can sometimes be high. More interestingly, though the observed parameters are individually different (e.g., the amount of mass loading M), the radiative efficiency obtained from P 1 (η γ = 36.0% ± 6.5%) and P 2 (η γ = 41.1% ± 1.9%) is roughly the same, which implies that the central engine of the same GRB has some common properties.

Formulation and evaluation of perfume from locally available flowers

The abstract should summarized the content of the formulation of perfume from flowers such as Rose, Crysanthemum, Plumeris, jasmine essential oil has been conducted. Essential oil from flowers was obtained by solvent exctraction. Perfume extraction is the extraction of aromatic compounds from raw materials,using methods such as solvent extraction’s essential oils are isolated from flowers. Which are the liquid and strong aromatic components and are a high concentrated oils extracted from aromatic flowers. Exctraction is a separation of aromatically active portion of flowers using selective solvent. In this formulation we use solvent extraction process. A literature search was performed to find flowers describing botanical name, genus, species, kingdom etc. The information used is from databases pubMed,Science direct and Goggle scholer. Evaluation test were performed such as Hedonic test, Sensory test, Spot test, Skin irritancy test. Based on result of quality evaluation it can be concluded that all flowers essential oil can be used as perfumery agent in perfume formulation and stable during the storage in room temperature.

Experimental investigation of an electromagnetic seismic isolation system with different configurations of inertance

Protecting seismic isolated equipment or buildings in a near-fault area is challenging because of the strong long-period velocity components of near-fault ground motions. These long-period pulses can cause excessive base displacement of conventional seismic isolation systems. In this study, an electromagnetic seismic isolation system with flywheels (EMSIS-FW) was experimentally investigated to reduce the base displacement of isolation systems during near-fault earthquakes. The EMSIS-FW consists of a sliding platform and rotary electromagnetic (EM) dampers, which can provide an EM damping force. With an additional flywheel installed on each EM damper, its moment of inertia can offer a considerable inertance for the EMSIS-FW. The inertance generated by the flywheel can be hundreds of times larger than its mass. Accordingly, the isolation frequency can be adjusted using different-sized flywheels. A prototype EMSIS-FW was designed and manufactured. A theoretical model was also developed to predict its dynamic behavior. Through shaking table tests, this study provided experimental verification of the effectiveness of inertance on isolation systems subjected to near-fault ground motions. The experimental results indicate that an increase in inertance reduces the isolation displacement, but it may increase the isolation acceleration during a typical far-field ground motion. In addition, the accuracy of the theoretical model was verified using the shaking table test.

Unraveling the physiological and psychosocial signatures of pain by machine learning.

Pain is a complex subjective experience, strongly impacting health and quality of life. Despite many attempts to find effective solutions, present treatments are generic, often unsuccessful, and present significant side effects. Designing individualized therapies requires understanding of multidimensional pain experience, considering physical and emotional aspects. Current clinical pain assessments, relying on subjective one-dimensional numeric self-reports, fail to capture this complexity. To this aim, we exploited machine learning to disentangle physiological and psychosocial components shaping the pain experience. Clinical, psychosocial, and physiological data were collected from 118 chronic pain and healthy participants undergoing 40 pain trials (4,697 trials). To understand the objective response to nociception, we classified pain from the physiological signals (accuracy >0.87), extracting the most important biomarkers. Then, using multilevel mixed-effects models, we predicted the reported pain, quantifying the mismatch between subjective level and measured physiological response. From these models, we introduced two metrics: TIP (subjective index of pain) and Φ (physiological index). These represent possible added value in the clinical process, capturing psychosocial and physiological pain dimensions, respectively. Patients with high TIP are characterized by frequent sick leave from work and increased clinical depression and anxiety, factors associated with long-term disability and poor recovery, and are indicated for alternative treatments, such as psychological ones. By contrast, patients with high Φ show strong nociceptive pain components and could benefit more from pharmacotherapy. TIP and Φ, explaining the multidimensionality of pain, might provide a new tool potentially leading to targeted treatments, thereby reducing the costs of inefficient generic therapies. RESC-PainSense, SNSF-MOVE-IT197271.

On the texture and strength of a 316L steel processed by powder bed fusion

The developed microstructures and textures and their effect on the tensile behavior of a 316L austenitic stainless steel produced by powder bed fusion (PBF) were studied. The material printed with one set of printing parameters was tensile tested in three different directions. The microstructural analysis was conducted using electron microscopy. Referring to the build direction (BD) and the side direction (SD), which are parallel/crosswise to the laser scanning direction, the texture can be characterized by two strong components of <011>//BD and <001>//SD. The obtained steel samples exhibit the yield strength of 550 MPa–590 MPa depending on the tensile direction. The strengthening contributors to the PBF material were considered separately. Considering the microstructural grain size between the high angle boundaries and taking the dislocations of cellular structure as a part of dislocation density, the dislocation density is considered being the main strength contributor while the Taylor factor variety from about 2.9 to 3.2 for different directions revealed the strength anisotropy as an attribute of the texture.

A general inspection and replacement policy for protection systems subject to shocks with state dependent effect

This paper proposes a new maintenance policy for protection systems which fail due to competing causes: internal deterioration and fatal external shocks. The study is motivated by a real problem in a power distribution company, in which a circuit breaker is designed to protect an electrical network from critical events such as overloads and short circuits. The failure of the system is hidden and can lead to a disaster if it is not replaced before a demand is received. So, to improve its readiness, we have developed a new two-phase (inspection & replacement) policy for a protection system with a heterogeneous population. Heterogeneity reflects factors such as variability in the quality of spare parts or in the installation of the components, which can be poorly or properly executed, resulting in some having a short life, while others may achieve a long life. Inspections are imperfect, which induces misclassification. The deterioration process is modeled via the delay-time concept. Furthermore, the shock rate depends upon the state of the system and follows a non-homogeneous Poisson process. Thus, using a numerical approach, the objective of this study is to determine the number of inspections during the first phase, the interval between consecutive inspections, and the age for scheduled preventive replacement. We compared this policy to two other classical policies via a case study and found that it has significant cost-saving potential. Generally, our results indicate when inspections should be prioritized over age-preventive replacement, and vice versa. Multi-phase policies are particularly effective for components with different characteristic lives, with inspections being crucial for maintaining readiness, often requiring investment in quality assurance to prevent misclassification. Conversely, age-based policies are more advantageous for strong (long-lived) components or when the probability of misclassification is high.

Continuum and spectral-line observations of the OH megamaser galaxy IRAS 01298−0744

We present Very Long Baseline Array observations of radio continuum and OH line emission toward the OH megamaser (OHM) galaxy IRAS 01298−0744. We recover over 82% of the OH line emission seen in single-dish observations, including multiple strong OH line components and the broad shallow line profile spanning over 1000 km s−1. The OH emission spatially has four compact components, as well as diffuse emission, and the 3σ signals are distributed in a rectangular region with size of ∼40 × 30 mas. The spatial-velocity structure is complex and is consistent with that from HCN and HCO+ lines in the literature, indicating that the nuclear region of this source is likely still in the merging process characterized by intense nuclear activities. The multiple strong OH peaks are blue-shifted compared to dense millimetre-wave molecular gas tracers, but similar to optical Na I absorption. This suggests that the compact masers might be in an outflow driven by an active galactic nucleus or starburst. We have detected compact radio continuum emissions adjacent to the maser positions with a brightness temperature of around 3 × 106 K, similar to other OHM galaxies with very-long-baseline interferometry observations in the literature, which is consistent with a starburst origin.

Social relationships in adults who were adopted following institutional deprivation

Research examining the effects of severe, prolonged early deprivation has shown elevated rates of neurodevelopmental symptoms, which frequently persist into adulthood and are associated with functional and social relationship difficulties, as well as elevated rates of mental health problems. The behavioural manifestations of these symptoms closely resemble those of ADHD and also ASD. Here, we used qualitative methods to explore and characterise the social experiences and difficulties encountered by young adults exposed to profound early deprivation, in part to highlight any apparent parallels between the experiences in this group and those identified in typically developing samples with ADHD or ASD. To do so, we interviewed young adults and their adoptive parents ( N = 18) from the English and Romanian Adoptees study, about their social lives. Participants were keen to describe not only the challenges they faced but also adaptive responses. A semantic/descriptive thematic analysis revealed that the young adults strongly desired social relationships but struggled to navigate social norms, resulting in frustration and frequent loss of relationships. This was accompanied by strong feelings of loss and rejection, all of which were perceived to have a negative impact upon self-esteem and mental health. Adaptive strategies included the fostering of casual friendships with older individuals and seeking employment with strong social components. Similarities and differences between our findings and the social difficulties experienced by typically developing groups with neurodevelopmental problems, and adopted individuals more generally, are discussed.

H2CO and CS in diffuse clouds: Excitation and abundance

Context. Diffuse interstellar clouds present an active chemistry despite their relatively low density and the ubiquitous presence of far-UV radiation. Aims. To provide constraints on the chemical processes responsible for the observed columns of organic species, we used the NOEMA interferometer to observe the sight line toward NRAO150 (B0355+508) in the 2 mm spectral window. Methods. We targeted the low excitation lines of ortho H2 CO (21,1–11,0) and para H2 CO (20,2–10,1) as well as the nearby transitions of CS (3–2) and c-C3H2 (31,2–22,1), (41,4–30,3), and (22,0–11,1). We combined these data with previous observations of the same sight line to determine the excitation conditions, column densities, and abundances relative to H2 in the different velocity components. We performed non-LTE radiative transfer calculations including collision cross sections with ortho and para H2 and with electrons. New collision cross sections with electrons were computed for ortho and para formaldehyde. Results. All targeted lines were detected. The c-C3H2 line profiles are very similar to those of HCO+ and CCH, while the CS absorption features are narrower and mostly concentrated in two main velocity components at VLSR = −17.2 and −10.4 km s−1. H2CO absorption lines present an intermediate pattern with absorption in all velocity components but larger opacities in the two main velocity components. The ortho-to-para ratios of H2CO and c-C3H2 are consistent with the statistical value of three. While the excitation temperature of all c-C3H2 velocity components is consistent with the Cosmic Microwave Background (CMB), the two strong components detected in CS show a clear excess over the CMB indicating that CS resides at higher densities than other species along this particular sightline, n(H2) ~ 2500 cm−3 while n(H2) &lt; 500 cm−3 for the other velocity components. We detected faint absorption from o-H213CO and C34S allowing us to derive isotopic ratios: o-H2CO/o-H213CO = 61 ± 12 and C32S/C34S = 24 ± 6. The excitation of the 11,0−11,1 line of formaldehyde at 4.8 GHz is sensitive to the electron fraction and its excitation temperature is predicted to be lower than the CMB at low and moderate electron fractions (x(e) &lt; 6 × 10−5), and to rise above the CMB at high electron fractions (x(e) &gt; 10−4).

Constraining the LVK AGN channel with black hole spins

ABSTRACT Merging black holes (BHs) are expected to produce remnants with large dimensionless spin parameters (aspin ∼ 0.7). However, gravitational wave (GW) observations with LIGO–Virgo–Kagra (LVK) suggest that merging BHs are consistent with modestly positive but not high spin (aspin ∼ 0.2), causing tension with models suggesting that high-mass mergers are produced by hierarchical merger channels. Some BHs also show evidence for strong in-plane spin components. Here, we point out that spin-down of BHs due to eccentric prograde post-merger orbits within the gas of an active galactic nucleus (AGN) disc can yield BHs with masses in the upper mass gap, but only modestly positive aspin, and thus observations of BHs with low spin do not rule out hierarchical models. We also point out that the fraction of binary black hole (BBH) mergers with significant in-plane spin components is a strong test of interactions between disc BBHs and nuclear spheroid orbiters. Spin magnitude and spin tilt constraints from LVK observations of BBHs are an excellent test of dynamics of BHs in AGN discs, disc properties, and the nuclear clusters interacting with AGNs.

Single nucleotide polymorphism-based biomarker in primary hypertension

Primary hypertension is a multiplex and multifactorial disease influenced by various strong components including genetics. Extensive research such as Genome-wide association studies and candidate gene studies have revealed various single nucleotide polymorphisms (SNPs) related to hypertension, providing insights into the genetic basis of the condition. This review summarizes the current status of SNP research in primary hypertension, including examples of hypertension-related SNPs, their location, function, and frequency in different populations. The potential clinical implications of SNP research for primary hypertension management are also discussed, including disease risk prediction, personalized medicine, mechanistic understanding, and lifestyle modifications.Furthermore, this review highlights emerging technologies and methodologies that have the potential to revolutionize the vast understanding of the basis of genetics in primary hypertension. Gene editing holds the potential to target and correct any kind of genetic mutations that contribute to the development of hypertension or modify genes involved in blood pressure regulation to prevent or treat the condition. Advances in computational biology and machine learning enable researchers to analyze large datasets and identify complex genetic interactions contributing to hypertension risk.In conclusion, SNP research in primary hypertension is rapidly evolving with emerging technologies and methodologies that have the potential to transform the knowledge about genetic basis related to the condition. These advances hold promise for personalized prevention and treatment strategies tailored to an individual's genetic profile ultimately improving patient outcomes and reducing healthcare costs.

Application of deep learning with bivariate models for genomic prediction of sow lifetime productivity-related traits.

Pig breeders cannot obtain phenotypic information at the time of selection for sow lifetime productivity (SLP). They would benefit from obtaining genetic information of candidate sows. Genomic data interpreted using deep learning (DL) techniques could contribute to the genetic improvement of SLP to maximize farm profitability because DL models capture nonlinear genetic effects such as dominance and epistasis more efficiently than conventional genomic prediction methods based on linear models. This study aimed to investigate the usefulness of DL for the genomic prediction of two SLP-related traits; lifetime number of litters (LNL) and lifetime pig production (LPP). Two bivariate DL models, convolutional neural network (CNN) and local convolutional neural network (LCNN), were compared with conventional bivariate linear models (i.e., genomic best linear unbiased prediction, Bayesian ridge regression, Bayes A, and Bayes B). Phenotype and pedigree data were collected from 40,011 sows that had husbandry records. Among these, 3,652 pigs were genotyped using the PorcineSNP60K BeadChip. The best predictive correlation for LNL was obtained with CNN (0.28), followed by LCNN (0.26) and conventional linear models (approximately 0.21). For LPP, the best predictive correlation was also obtained with CNN (0.29), followed by LCNN (0.27) and conventional linear models (approximately 0.25). A similar trend was observed with the mean squared error of prediction for the SLP traits. This study provides an example of a CNN that can outperform against the linear model-based genomic prediction approaches when the nonlinear interaction components are important because LNL and LPP exhibited strong epistatic interaction components. Additionally, our results suggest that applying bivariate DL models could also contribute to the prediction accuracy by utilizing the genetic correlation between LNL and LPP.

Source mechanisms of deep long period earthquakes beneath the Klyuchevskoy volcanic group (Kamchatka, Russia) inferred from S-to-P amplitude ratios

We study the long-period earthquakes that occur at the crust-mantle boundary beneath the Klyuchevskoy volcano group in Kamchatka in order to reconstruct their source mechanisms. These earthquakes are observed at frequencies between 1 and 4 Hz and the phases of their seismograms are strongly affected by the high-pass filtering required to remove the microseismic noise. Therefore, we decided to use an inversion method based on amplitude ratios between S- and P-waves. Considering the uncertainties associated with this method and potentially leading to non-uniqueness of the inversion, we decided not to explore the full space of the source parameters but to test a set of “elementary” mechanisms corresponding to processes possibly occurring within magmatic systems of volcanoes and their surroundings. Also, after measuring the raw amplitudes of P- and S-waves we corrected them for the site amplification effects. Based on the results of the inversion, the generation of the DLP earthquakes beneath Klyuchevskoy by shear faulting (as would be the case in thermomechanical stresses associated with cooling of deep intrusions) can be reasonably excluded. The observed signal amplitudes can be better explained with source mechanisms containing strong volumetric or single force components. The former can be associated with the pressure perturbation withing magmatic reservoirs or conduits and the latter with the sudden acceleration of the magma movement. The ensemble of our observations is compatible with the configuration when the magma is stored in nearly horizontal sills near the crust-mantle boundary and penetrates into the crust through conduits dipping south-southwest, in agreement with previously reported connection of the deep magmatic reservoir with the Bezymanny and Tolbachik volcanoes.

Symmetry of the stochastic Rayleigh equation and features of bubble dynamics near the Blake threshold

Ultrasonic cleaning is widely accepted as being an extremely efficient method of decontaminating a diverse range of objects and products. Optimization of the process is generally achieved by variation in the intensity and the spectrum of ultrasound. This spectrum takes the form of individual lines, which are superimposed on the noise background. The stochastic dynamics of the bubble in the acoustic field, consisting of a strong harmonic and noise components, is considered. Application of Lie groups reveals the internal symmetry of the problem. An analytical solution of the problem has been derived in the vicinity of the static stability threshold (Blake threshold). A greater understanding of the stochastic bubble dynamics leads to determining the optimal conditions for ultrasonic cleaning.