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The emergence and spread of antibiotic-resistant bacteria is a major public health concern worldwide, posing a serious threat to the effectiveness of current antibiotic treatments. To address this issue, there is a growing need to explore alternative methods for controlling antibiotic-resistant pathogens. This study aims to provide a cost-effective and efficient process to reduce multidrug resistance and establish a system to eliminate multidrug-resistant bacteria. The study begins with the isolation of one or more bacteria in an aseptic, closed environment, followed by inoculation into saline. The sample is then exposed to either moderate sound wave at a predetermined frequency and intensity, red light at a predetermined wavelength, or both. The bacteria in the sample are exposed to the sound and red light, which may cause some of the resistant bacteria to become sensitive to antibiotics. The sound and red light are designed to penetrate the DNA of the bacteria, reversing their resistance to sensitivity. This process either promotes bacterial growth, causing them to scatter away from the canter of a petri dish, or kills them completely. In conclusion, When the organisms are exposed to audible sound alone or in combination with red light, colony formation decreases, and the colonies separate from each other, becoming weaker. In some cases, the colonies take on irregular shapes or die off considerably. [ABSTRACT FROM AUTHOR]

Speech emotion recognition (SER) systems leverage information derived from sound waves produced by humans to identify the concealed emotions in utterances. Since 1996, researchers have placed effort on improving the accuracy of SER systems, their functionalities, and the diversity of emotions that can be identified by the system. Although SER systems have become very popular in a variety of domains in modern life and are highly connected to other systems and types of data, the security of SER systems has not been adequately explored. In this paper, we conduct a comprehensive analysis of potential cyber-attacks aimed at SER systems and the security mechanisms that may prevent such attacks. To do so, we first describe the core principles of SER systems and discuss prior work performed in this area, which was mainly aimed at expanding and improving the existing capabilities of SER systems. Then, we present the SER system ecosystem, describing the dataflow and interactions between each component and entity within SER systems and explore their vulnerabilities, which might be exploited by attackers. Based on the vulnerabilities we identified within the ecosystem, we then review existing cyber-attacks from different domains and discuss their relevance to SER systems. We also introduce potential cyber-attacks targeting SER systems that have not been proposed before. Our analysis showed that only 30% of the attacks can be addressed by existing security mechanisms, leaving SER systems unprotected in the face of the other 70% of potential attacks. Therefore, we also describe various concrete directions that could be explored in order to improve the security of SER systems. [ABSTRACT FROM AUTHOR]

This study aims to analyze the improvement of critical thinking skills using learning media development based on App Inventor on sound wave topics. The research was quasi-experimental with a non-equivalent control group design. The research population were students of class XI MIPA in one of the senior high schools in West Java Province. The sampling technique used was random sampling. Class XI MIPA 5 as the experimental class, used App Inventor-based media, and class XI MIPA 2 as the control class used Google Classroom media. The number of students in both categories were 35 each. The research instrument used a critical thinking skill test. The analysis technique uses n-gain and t-independent sample tests. The results showed an increase in students' critical thinking skills in the experimental class by 0.67 in the moderate category and the control class by 0.46 in the medium type. The results of the t-independent sample test shows the value of tcount > ttable. Thus, there is a difference in improving students' critical thinking skills between learning using App Inventor-based media and using Google Classroom media on sound wave topics. [ABSTRACT FROM AUTHOR]

The purpose of this study is to identify the concept of physics for making traditional musical instruments that have become local wisdom, namely Tennong-Tennong musical instruments in Pangkajene Islands District. The method used in this study is qualitative research literature study or literature review with data used sourced from articles relevant to the topic studied. Based on the research conducted, it was obtained that at the stage or process of making musical instruments tennong- tennong several concepts of Physics Science that can be integrated or used when providing Physics Science learning. The concepts contained in the stages of making musical instruments are measurement, force, pressure, potential energy, heat, work and displacement, equilibrium, and sound wave matter. Sound waves in the last stage that can be identified are vibration, wave, sound, resonance, rapid propagation of sound, and reflection of sound. [ABSTRACT FROM AUTHOR]

Experiment activity is an essential part of science learning. Suling (flute), a traditional musical instrument from West Java, can be used as a learning media for sound wave concepts. Technology-based mobile can be used as an experimental tool is Phypox. This study aims to report using a combination of Suling and Phypox in experiment activities. The designed activity aims to engage students in critical thinking. The instrument for measuring critical thinking consists of five questions based on the critical thinking aspect: interpretation, analysis, evaluation, inference, and explanation. The study used a one-group pre-and post-test design on 32 8th-grade students at one of the junior high schools in West Java Province, Indonesia. The study procedure is a pre-test, discussion of Suling’s concepts, introduction to Phypox apps, experiment activity, presentation, and post-test. Data analysis uses the normalized gain to compare the pre-and post-test. Experiment activities help students to understand frequency, open organ pipes concepts, and investigate the speed of sound produced by Suling. The study found a significant change in the pre-and post-test scores of students after experimenting, so it could be interpreted that the experimental activities using Suling and Phypox affected critical-thinking students. [ABSTRACT FROM AUTHOR]

A theoretical study has been made of the reflection and refraction of a harmonic sound wave on the boundary "bubble liquid–porous medium saturated with bubble liquid." It has been established that in the case of incidence of such a wave on the indicated boundary at a certain angle, the total internal reflection of a transverse wave occurs. Conditions have been determined with which the reflection of the wave as that from a rigid wall occurs. [ABSTRACT FROM AUTHOR]

Abstract Tomato (Solanum lycopersicum L.) is one of the most consumed vegetables worldwide. The ripening of tomato is performed for its freshness and represented by color and gene expression. In our previous study, we performed molecular analyses on tomato ripening with and without sound-wave treatment. In the present study, we performed metabolomics analysis of ripening tomatoes with and without sound-wave treatment to expand our knowledge of tomato ripening. To achieve this goal, tomatoes at 7, 10, and 14 d of ripening were selected and analyzed via liquid chromatography–mass spectrometry (LC–MS) and gas chromatography–MS (GC–MS). A total of 33 major metabolites, including 14 LC–MS- and 19 GC–MS-derived metabolites, were assigned based on variable importance projection and p values and subjected to statistical analysis. Apparent morphology and partial least squares–discriminant analysis were consistent with the general ripening process based on color. Moreover, metabolomics analysis showed similar experimental results to those of previous studies. The quantification of metabolites with LC–MS showed decreasing levels of adenosine, tryptophan, and phytosphingosine upon sound-wave treatment. In GC–MS analysis, 4-Aminobutanoic acid and aspartic acid were decreased upon sound-wave treatment. On the other way, the quantity of malic acid, citric acid, and sucrose was increased with the treatment. The findings of this study can assist in the application of sound-wave treatment for delaying ripening in tomatoes and improving their market value.

Plants are highly sensitive organisms and can indeed benefit from specific sound signals in multi-layered processes. Scientific evidences have shown the potential applications of sound wave treatment in plant biology. However, there are some limitations to sound wave treatment that must be overcome. We still do not understand how do plants initially perceive and recognize sound signals, which is very critical to maximize the effectiveness of the use of sound treatment from practical viewpoint. Proper setup of sound treatment equipment and detailed understanding and evaluation of the effects of selected frequencies and intensities along with sound exposure times are also very crucial during sound treatment. More experimental studies with different models need to be done in a multidisciplinary approach toward establishing suitable mechanism for sound treatment application in agriculture production. The aim of this paper is to provide an overview of findings associated with potential effects of audible sound waves including music on different biological, physiological and biochemical processes in plants. [ABSTRACT FROM AUTHOR]

The development of science and technology has positively impacted human life, which has now reached the age of electric voice commands. An intelligent home management system allows humans to operate their house's electrical gadgets, such as lighting, using simple voice commands, eliminating the need to move around to switch on or off equipment. When users of indoor lighting use sound waves to operate the system or turn on the lights, the sound sensor sends an input signal to the microcontroller, which is then processed with the microcontroller's output in the form of a voltage to turn on the load. The system will function when the FC-04 sound sensor receives sound input (sound code). The FC-04 sound sensor can only provide a digital output signal with a value of 1 and 0 in the form of a clap, which is then accumulated on Arduino with a value above 400 million by the program uploaded to be used as a 5-volt output to turn on/off the lights. This is because when turning on the lights from a certain distance, several factors can affect it, including setting the sound sensor's sensitivity and noise levels in the surrounding area.

Tomato (Solanum lycopersicum L.) is one of the most consumed vegetables worldwide. The ripening of tomato is performed for its freshness and represented by color and gene expression. In our previous study, we performed molecular analyses on tomato ripening with and without sound-wave treatment. In the present study, we performed metabolomics analysis of ripening tomatoes with and without sound-wave treatment to expand our knowledge of tomato ripening. To achieve this goal, tomatoes at 7, 10, and 14 d of ripening were selected and analyzed via liquid chromatography–mass spectrometry (LC–MS) and gas chromatography–MS (GC–MS). A total of 33 major metabolites, including 14 LC–MS- and 19 GC–MS-derived metabolites, were assigned based on variable importance projection and p values and subjected to statistical analysis. Apparent morphology and partial least squares–discriminant analysis were consistent with the general ripening process based on color. Moreover, metabolomics analysis showed similar experimental results to those of previous studies. The quantification of metabolites with LC–MS showed decreasing levels of adenosine, tryptophan, and phytosphingosine upon sound-wave treatment. In GC–MS analysis, 4-Aminobutanoic acid and aspartic acid were decreased upon sound-wave treatment. On the other way, the quantity of malic acid, citric acid, and sucrose was increased with the treatment. The findings of this study can assist in the application of sound-wave treatment for delaying ripening in tomatoes and improving their market value. [ABSTRACT FROM AUTHOR]

In this paper, we propose an efficient sound propagation and remapping technique based on geometry to enhance immersive sound effects in virtual environments, and suggest a method to interactively represent sound by considering the altitude and slope of the terrain. The proposed technique can represent real-time patterns of sound such as waves and flows of sound, as well as diffraction that occur in a physical environment. Our approach involves identifying the position of obstacles from the sound source and calculating the new position of sound that has been refracted or diffracted due to the obstacles. Using a ray-tracing technique, we determine whether there is a collision between obstacles and sound, and calculate the reflected and refracted vectors due to the collision to predict the magnitude of sound that agents beyond the obstacles would hear. In this process, the number of reflected and refracted rays affects the magnitude of sound, allowing us to model sound attenuation based on the distance to the obstacle and the material of the obstacle. In this process, we control the magnitude of sound based on the altitude difference from the sound source and the gradient difference depending on the shape of the surrounding terrain. As a result, we efficiently and quickly represented diffraction patterns expressed in a physically-based approach, and demonstrated that the magnitude of sound diffuses naturally according to the deformed diffraction pattern as the obstacles move and rotate. Furthermore, we realistically represented the sound heard by the audience in terrains with altitude differences, and demonstrated that the magnitude of sound varies depending on the terrain.

Plants are highly sensitive organisms and can indeed benefit from specific sound signals in multi-layered processes. Scientific evidences have shown the potential applications of sound wave treatment in plant biology. However, there are some limitations to sound wave treatment that must be overcome. We still do not understand how do plants initially perceive and recognize sound signals, which is very critical to maximize the effectiveness of the use of sound treatment from practical viewpoint. Proper setup of sound treatment equipment and detailed understanding and evaluation of the effects of selected frequencies and intensities along with sound exposure times are also very crucial during sound treatment. More experimental studies with different models need to be done in a multidisciplinary approach toward establishing suitable mechanism for sound treatment application in agriculture production. The aim of this paper is to provide an overview of findings associated with potential effects of audible sound waves including music on different biological, physiological and biochemical processes in plants.

Elastography is of great interest in biomechanics and medical imaging due to its nondestructive capability of mapping elasticity of tissues. The elastography framework relies on external excitations which actuate deformation inside an object. The internal response is then acquired and analyzed to map the distribution of elastic moduli. In this paper, with no need of measuring any internal responses, an integrated elastography method is developed which only requires the transmitted responses of applied sound waves. During the process, the tomography image (e.g., CT or MRI) and the applied waves are integrated into a computational model. Following a procedure of inverse analysis, the elasticity of all phases in the object is reconstructed when the computational transmission of waves matches with the measured transmission. The numerical simulation on brain tissues and a demonstration on silicon rubber phantom are conducted to validate the proposed method. Both cases demonstrate that the integrated method successfully predicts the real elasticity of samples. The verification measurements on the phantom further show that the predicted elastic moduli agree well with the experimental results of uniaxial compression testing.

Elastography is of great interest in biomechanics and medical imaging due to its nondestructive capability of mapping elasticity of tissues. The elastography framework relies on external excitations which actuate deformation inside an object. The internal response is then acquired and analyzed to map the distribution of elastic moduli. In this paper, with no need of measuring any internal responses, an integrated elastography method is developed which only requires the transmitted responses of applied sound waves. During the process, the tomography image (e.g., CT or MRI) and the applied waves are integrated into a computational model. Following a procedure of inverse analysis, the elasticity of all phases in the object is reconstructed when the computational transmission of waves matches with the measured transmission. The numerical simulation on brain tissues and a demonstration on silicon rubber phantom are conducted to validate the proposed method. Both cases demonstrate that the integrated method successfully predicts the real elasticity of samples. The verification measurements on the phantom further show that the predicted elastic moduli agree well with the experimental results of uniaxial compression testing.

The reflection and transmission of harmonic waves at the interface between a bubbly liquid and a porous medium saturated with this liquid has been studied theoretically. The influence of the parameters of the system on the reflection and transmission coefficients through the interface between two media has been investigated. It has been found that for the interface between a bubbly liquid and a porous medium saturated with the bubbly liquid, there is a range of frequencies in which reflection occurs in the same way as from a free surface and back reflection as from a rigid wall. [ABSTRACT FROM AUTHOR]

Vegetable contamination by cadmium (Cd) is of great concern. Water spinach (Ipomoea aquatica) is a common leafy vegetable in many countries and has a strong ability to accumulate Cd. The work was conducted to study the effects of sound wave, water management, and their combination on Cd accumulation and growth of water spinach, using the following three experiments: a hydroponic trial with the treatment of a plant acoustic frequency technology (PAFT) generator in test sheds, a hydroponic trial with three music treatments (electronic music (EM), rock music (RM), and classical music (CM)) in artificial climate boxes, and a soil pot trial with treatments of PAFT and EM under non-flooded and flooded conditions. The results showed that the hydroponic treatments of PAFT and EM significantly reduced the Cd concentrations in roots and shoots (edible parts) of water spinach by 22.01–36.50% compared with the control, possibly due to sound waves decreasing the root tip number per unit area and increasing average root diameter, root surface area, and total root length. Sound wave treatments clearly enhanced water spinach biomass by 28.27–38.32% in the hydroponic experiments. In the soil experiment, the flooded treatment significantly reduced the Cd concentrations in roots and shoots by 43.75–63.75%, compared with the non-flooded treatment. The Cd decrease and the biomass increase were further driven by the PAFT supplement under the flooding condition, likely related to the alteration in root porosity, rates of radial oxygen loss, extractable soil Cd, soil Eh, and soil pH. Our results indicate that the co-application of plant acoustic frequency technology and flooded management may be an effective approach to reduce Cd accumulation in water spinach. [ABSTRACT FROM AUTHOR]

The selection of signal frequency in acoustic temperature measurement technology is the key to improve the accuracy of temperature measurement. In order to explore the optimal propagation frequency of low-frequency sound waves in loose coal, lignite, coking coal, and anthracite are used as the research objects. The acoustic loss of three coal samples under six particle sizes（0.9 mm to ＜3 mm, 3 mm to ＜5 mm, 5 mm to ＜7 mm, 7 mm to 10 mm, 9 mm to 10 mm and larger than 10 mm） by using the acoustic loss test system is tested. The experimental results show that the sound transmission loss of three coal samples presents a wave-like rising shape with the increase of the sound wave frequency. Compared with coal samples of other particle sizes, the sound transmission loss of coal samples in the range of 0.9 mm to ＜3 mm is the largest. As the particle size of coal samples increases, the sound transmission loss of coal samples continues to increase, and the sound wave frequency corresponding to the lowest point of sound transmission loss also increases. The degree of coal sample deterioration has no obvious regularity in the influence of sound transmission loss. The sample size is the main factor that affects the change of the sound transmission loss of the coal sample, and the sound waves mainly propagate along the gaps between the particle sizes of the loose coal. By comparing and analyzing the maximum and minimum values of sound transmission loss, there is a maximum value between 250 Hz to 600 Hz and 900 Hz to 1 600 Hz about the sound transmission loss of coal samples of different particle sizes, and the maximum sound transmission loss range is between 4.66 dB and 7.64 dB. By testing the sound transmission loss in the low-frequency sound waves of the mixture of three coal samples, it is determined that the optimal sound transmission frequency range in the loose coal is 600 Hz to 900 Hz.

The purpose of this study is to map the profile of high school students' conceptual understanding in physics subjects with the Doppler effect and sound intensity levels, and to show the causes of misconceptions in high school students from the results of the Certainty of Response Index (CRI) method applied. The research method is descriptive quantitative with data analysis techniques in the form of descriptive statistics. The data collection technique used is an ordinary multiple choice test instrument equipped with a confidence level scale using the model CRI (Certainty of Response Index). This confidence scale is used as data for understanding students' concepts in answering questions that are analyzed statistically. The research subjects were 66 high school students in class XI who were randomly selected and had received lessons on sound waves. The test results showed that there were misconceptions in each item with the largest percentage of 45.45% in item number 3 and the smallest 12.12% in item number 2. Other responses in the form of lucky guess and not knowing the concept were also found with varying percentages. The misconceptions encountered occurred in the use of signs for the speed of the observer and the speed of the source, the relationship between distance and number of sound sources at the level of sound intensity, and the relationship between sound magnitudes. The results of this concept understanding profile are expected to be information for teachers to be able to overcome students' misconceptions and arrange appropriate learning strategies during the learning process.

Preliminary observations show the limitations of teaching materials that have a relationship with spiritual aspects, especially the Qur'an, which is due to the limitations of teaching materials that contain these aspects. Required learning that stimulates students to generalize religious aspects and learn physics. Therefore, the purpose of this study is to describe the feasibility of physics teaching materials containing the Qur'an by using a generative model on sound wave material. This study aims to describe the validity, practicality, and effectiveness of the teaching materials developed. The research was conducted on 33 students at class XI MIPA 1 MAN 2 Model Banjarmasin using the ADDIE model. Data was taken from the validation results of teaching materials using validation sheet, lesson plan implementation using lesson plan implementation sheet, and students' learning outcomes at the pretest and post-test using learning outcomes tests. The results of this study were 1) the validity of the teaching materials was in the "valid" category with a value of 3.33, 2) the practicality of the teaching materials was in the "very practical" category with a value of 3.63, and 3) the effectiveness of the teaching material was in the "effective/moderate" category with a value of 0,44. This study concluded that physics teaching materials containing Al-Qur'an verses on sound wave materials using generative learning models are declared feasible to be used based on the validity, practicality, and effectiveness of the teaching materials. The implication of this research is the creation of teaching materials containing the Qur'an that are used in schools and creating student habits to link physics and the Qur'an.

Purpose of the study: The research objective of developing the 3D Pageflip Physics E-Module with sound wave material based on local angklung wisdom is to increase students' understanding of physics concepts, integrate local cultural values as a learning context, and develop students' science process skills in an integrated manner. Methodology: The research method used in this research is the research and development. Respondents the e-module consisted of 20 class XI Science. The data collection technique is a questionnaire. The data analysis technique uses descriptive statistical tests, expert validation tests to determine feasibility e-module. The research procedure is by conducting literature studies, planning, development, product validation, revision, small group testing. Main Findings: The research results show that the physics e-module with West Java local wisdom on Sound Waves material has been successfully developed. Validation from experts results in positive assessment of the material content, media and language the module. Students' responses to small-scale test showed good level of acceptance, as well as an increase in their understanding of physics sound concepts. Thus, this e-module has potential to improve physics learning at the high school level, especially in the local context West Java. Novelty/Originality of this study: The new thing here is integrating scientific skills with the use of the traditional angklung musical instrument. Embracing the local wisdom of angklung, this e-module offers dynamic and relevant learning, helping students understand physics concepts while comprehensively improving science process skills.

Repairing cracks in the concrete of a building is very important to ensure the safety of a nuclear power plant. However, repair work in areas with very strong radiation is very difficult. Many robots have been proposed to solve this problem. However, they cannot operate wirelessly and have problems such as being left as debris in the event of an accident. To solve the problem, this paper investigates the feasibility of sound-driven robots. We focused on Helmholtz resonance to achieve this goal. In this paper, Helmholtz resonators were adopted as the drive source of the actuator, and a new prototype was created by devising the arrangement. We also examined the physical characteristics of the developed prototype. Unlike conventional actuators, the proposed device can be moved remotely simply by irradiating sound from the outside. The advantage of using sound waves is that the robot can move without being affected by electric or magnetic fields. Through some experiments, it was confirmed that the developed actuator can be moved remotely with sound. [ABSTRACT FROM AUTHOR]

Traditional fire extinguishing methods can harm people and nature. For this purpose, in this study, no harmful acoustic-driven airflow fire extinguishing system was developed and experiments were carried out to extinguish gasoline, kerosene, thinner (synthetic thinner) liquid fuels and liquid petroleum gas (LPG) flames. 17,442 extinguishing experiments were conducted in 5 different flame sizes, 54 different frequencies and 10 cm to 190 cm distance range. The data obtained were analyzed using the polynomial regression method. For liquid fuels, the frequencies of 10 Hz to 50 Hz at a distance of 10 cm to 100 cm, 10 Hz to 32 Hz at a distance of 100 cm to 150 cm, and 10 Hz to 28 Hz at a distance of 150 cm to 180 cm are effective extinguishing ranges. LPG fuel, 10 Hz to 45 Hz at a distance of 10 cm to 140 cm, frequencies of 15 Hz to 30 Hz at a distance of 140 cm to 180 cm are effective extinguishing ranges. In addition, caused by the compression of the woofers membrane inside the collimator and the injected airflow at frequency of 30 Hz reduced the 12 cm diameter metal plate from 86.2°C to 18.8°C in 5 min, and the metal plate left to cool down from 80°C to 21.7°C in 10 min at a distance of 100 cm. The average Mean Square Error value obtained as a result of polynomial regression analysis is 0.9544, and the Root Mean Square Error value is 1.2020. [ABSTRACT FROM AUTHOR]

Fire is a natural disaster that can be caused by many different reasons. Recently, more environmentally friendly and innovative extinguishing methods have started to be tested, some of which are also used. For this purpose, a sound wave fire-extinguishing system was created and firefighting tests were performed. With the data obtained, as a result of 17,442 tests, a data set was created. In this study, five different machine learning methods were used by using the data set created. These are artificial neural network, k-nearest neighbor, random forest, stacking and deep neural network methods. Stacking method is an ensemble method created by using artificial neural network, k-nearest neighbor, random forest models together. Classification of extinction and non-extinction states of the flame was made with the models created with these methods. The accuracy of models in classification should be analyzed in detail in order to be used as a decision support system in the sound wave fire-extinguishing system. Hence, the classification processes were carried out through the 10-fold cross-validation method. As a result of these tests, the performance analysis of the models was carried out, and the results showed that the highest classification accuracy belongs to the stacking model with 97.06%. The classification accuracy was determined 96.58% in random forest method, 96.03% in artificial neural network model, 94.88% in deep neural network model and 92.62% in k-NN model. The performance of the methods was compared by analyzing the performance metrics of machine learning methods. Thanks to the decision support system to be obtained based on the results of the analyzes, the sound wave fire-extinguishing system can be used efficiently.

This study aimed to explore the effect of the sound wave and membrane inclination i.e., 45° and 90° (MI45 and MI90) on the performance of osmotic microbial fuel cell (OMFC). The vibrations were given by a sound intensity of 60–80 dB and 20–1000 Hz in an anode compartment for a period of 5–6 h per day. Membrane inclination was given to maximizing the effective surface area under a fixed plane without changing its volumetric capacity to enhance water flux. Membrane inclination increased the effective surface area up to 33.33%, therefore, water flux was increased by 10% by using 45° inclination. The OMFC produced maximum water flux, reverse salt flux and power density of 0.750 ± 0.02 and 0.666 ± 0.02 Lm-2h−1, 3.18 ± 0.02 and 3.10 ± 0.02 gm-2h−1, 35.22 ± 12 and 24.22 ± 08 mW.m−2 for MI45 and MI90 respectively with the effect of sound. The chemical oxygen demand (COD) removal was found 66.85 ± 1% and 59.51 ± 1% with and without the effect of sound. Therefore, sound reduced the OMFC start-up time by 2–3 days based on open-circuit voltage data and also increased the anaerobic degradation by 6–9%. Overall, sound stimulates bacterial growth for the degradation of organic matter, and membrane inclination gives a more effective surface area for water flux.

The energy-velocity relation of a dark soliton is usually derived by its exact solution, which has been used to explain the kinetic motion of the dark soliton widely in many-body physical systems. We perform a variational method to re-derive the dispersion relation, with the consideration that the number of particles of the dark soliton could be conserved. The re-derived dispersion relation is completely different from that given by the exact dark soliton solution. The validity of these two dispersion relations is tested by observing the motion of the dark soliton when we drive impurity atoms that coupled with the soliton. The results suggest that the dispersion relation given by the exact solution usually works better than the one with particle number conservation. This motivates us to reveal that density waves (carrying particle transport) are generated during the acceleration process of a dark soliton, in addition to the previously known sound waves (only carrying energy transport). We further show that the density wave emissions of dark solitons can be inhibited by increasing the impurity atom number, which is trapped by the dark soliton through nonlinear coupling. The discussion is meaningful for investigating and understanding the kinetic motion of dark solitons in many different circumstances.

At present, the multiphase flow technology is applied increasingly in oil and gas mixed transportation system.However, the safety problems of multiphase pipeline are much more complicated than that of single-phase pipeline. Acousticsensing technology has the advantages of wide frequency range, long propagation distance and easy identification, and it isapplied to the two-phase flow pipeline with multiphase medium. Based on the variation of the maximum mean value and themaximum mean square value of the dynamic pressure signal before and after the leakage, the influence of the flow pattern, flow rate, leakage direction and leakage aperture on the leakage signal can be judged. Further, through theoretical analysis, the model of the relationship between the fluctuation amplitude of dynamic pressure and the gas-liquid flow during thestable flow of smooth stratified flow, wavy stratified flow and slug flow was established, which could be used to determinethe background noise amplitude fluctuation of steady flow under each flow pattern, laying a foundation for the realization ofacoustic leakage detection technology for gas-liquid two-phase flow pipeline.

In order to deflect the radiated sound waves by an array of sound sources, temporal phase differences between the adjacent sound sources are necessary. Usually, the sound can be deflected by electronically providing the phase-shifted driving signal to sound sources comprising the array. In this study, we propose a new method for deflecting sound emitted from a linear array of sound sources whose driving frequency, amplitude, and phase characteristics are all consistent. Instead of directly changing the phase of the driving signal, the dynamic characteristics of the vibration systems installed in front of the emitter are adjusted to cause a physically phase-shifted response. Such an indirect phase difference caused by the vibrator array achieves the deflection of the interfered sound waves. Firstly, numerical calculations are performed by assuming different natural frequencies to the vibrators composing an array so that the radiated sound could be deflected at angles of θ = 20°, 30°, 40°, 50°, and 60°. It was found that the desired deflection angle could be obtained under all conditions. Secondly, experiments were conducted to verify the numerical predictions. Thin resin plates with different elastic moduli were manufactured that mimicked vibrators. We confirmed that the sound wave could be deflected for all deflection angles at the sound source frequency of 4 kHz.

Introduction: Plant acoustic frequency technology (PAFT) is the effect or treatment of a plant with a specific frequency sound wave. Objective: The sound waves with different frequencies and a sound pressure level 77 dB were emitted on the saffron corms in a controlled environment using aeroponic cultivation and the contents of crocin, picrocrocin and safranal in their produced stigmas were analysed by high‐performance liquid chromatography. For this purpose, the corms were divided into two groups. In group 1, sound waves with the frequencies of 0.5, 1 and 2 kHz were emitted on saffron corms in different stages of sprouting, flowering and the whole stage of sprouting and flowering. In group 2, sonication was performed on the corms during the flowering stage at 4, 8, 12 and 16 kHz frequencies. Results: The changes in the contents of crocin, picrocrocin and safranal were not significantly compared to the control at 0.5, 1 and 2 kHz frequencies in the stages of sprouting and flowering of corms. While the higher frequencies (4, 8, 12 and 16 kHz) in flowering stage were affected significantly, the crocin and picrocrocin content increased 8.5% and 30%, applying the frequency of 12 and 8 kHz, respectively. Also, the effect of sound exposure time per day with the frequency of 16 kHz at 15, 30 and 60 min were investigated. Conclusion: The findings showed that the corms could be affected by sounding in the different stages of growth of the corm and also in the content of secondary metabolites. Sound waves with different frequencies were emitted on the saffron corms in a controlled environment using aeroponic cultivation. The findings showed the sound wave affected on the secondary metabolites content of their stigmas. The frequencies less than 2 kHz did not affect the content of secondary metabolites significantly. While, at the frequencies of 4‐16 kHz, the contents of secondary metabolites changed significantly. Moreover, the longer sounding time caused the more increase in the content of secondary metabolites happened. [ABSTRACT FROM AUTHOR]

Two problems of the monoharmonic sound wave transmission through a thin rectangular composite plate hinged in the opening of an absolutely stiff dividing wall were considered using the discrete layered damping model of a multilayer plate at small displacements and deformations, with account of the internal damping of layers according to the Kelvin–Voight model. In setting the first problem, it was assumed that the plate located between two semiinfinite spaces and a plane sound wave with a given amplitude value of the pressure is incident on it. In setting the second problem, it was considered that the plate is situated between two absolutely stiff barriers; one of them, owing to the harmonic vibration with a given displacement amplitude of the plate, forms an incident sound wave, while the other is stationary and coated by an energy-absorbing material with high damping properties. Behavior of the acoustic media was described by the classical wave equations based on the model of an ideal compressible fluid. Exact analytical solutions of the formulated problems were constructed. With their help, the sound insulation parameter of composite plate reinforced with carbon fiber textile was studied and the characteristics of its stress-strain state were investigated depending on the frequency of the incident sound wave. It was shown that the mechanics of the deformation of structural elements made of fiber-reinforced composites under high-frequency acoustic impact must be described by refined equations of motion, which have a high degree of accuracy and pithiness, because the stress-strain state formed in them are almost three-dimensional.

The relevance of the research follows from the need to assess the dynamic level of liquid in oil producing and water wells with the necessary frequency, which can be provided as one of the functions of an intelligent well. The aim of the research is to search for alternative methods for determining the liquid level in the annulus of wells without involving personnel in the well zone. Objects: oil producing wells equipped with pressure sensors, generators and receivers of acoustic waves and secondary instruments for transmitting information to the workplaces of the personnel of the enterprise. Methods: based on the well-known laws of physical hydrodynamics and methods of mathematical statistics. Results. The soundometric method for determining the dynamic liquid level in the annulus of a well has an error in measurements in existing oil wells due to the inconstancy of the composition of associated petroleum gas in time and in the depth of the tubing at a fixed point in time.

The echo reduction of an underwater vessel is one of the major concerns of its concealing problem. Recently, using scatterers in the doubly periodic distribution has attracted enormous interest. This is because of their relatively good performance and the ability to tune in the effective frequency range. In this study, a model of an acoustic echo reducing coating with internal scatterer cavities is considered. Subsequently, the major parameters that affected the acoustical performance of the layer, such as the size, the number and the location of cavities along with the thickness, for two types of spherical and cylindrical cavity geometries, were analyzed and presented. The results showed that in the layer, the larger the cavity size, the greater the echo reduction effect. Regarding the lattice constants, considering the smaller one, decays the echo reduction. However, will increase transmission loss. Also, the location of the cavity, if close to the wave entry plane, demonstrates a better echo reduction effect.

Fire, one of the most serious disasters threatening human life, is a chemical event that can destroy forests, buildings, and machinery within minutes. For this reason, there have been numerous methods developed to extinguish the fire. Within the scope of this study, a sound wave flame extinction system was developed in order to extinguish the flames at an early stage of the fire. The data used in the study were obtained as a result of experiments conducted with the developed system. The created dataset consists of data obtained from 17,442 experiments. It is aimed to classify the fuel type, flame size, decibel, frequency, airflow and distance features, and the extinction-non-extinction status of the flame through rule-based machine learning methods. In the study, rule-based machine learning methods, ANFIS (Adaptive-Network Based Fuzzy Inference Systems), CN2 Rule and DT (Decision Tree) were used. The methods of Box Plot, Scatter Plot and Correlation Analysis were utilized for statistical analysis of the data. As a result of the classifications, respectively, 94.5%, 99.91%, and 97.28% success were achieved with the ANFIS, CN2 Rule, and DT methods. As a result of the evaluations made by using Box Plot, Scatter Plot and Correlation Analysis.

Vegetable contamination by cadmium (Cd) is of great concern. Water spinach (Ipomoea aquatica) is a common leafy vegetable in many countries and has a strong ability to accumulate Cd. The work was conducted to study the effects of sound wave, water management, and their combination on Cd accumulation and growth of water spinach, using the following three experiments: a hydroponic trial with the treatment of a plant acoustic frequency technology (PAFT) generator in test sheds, a hydroponic trial with three music treatments (electronic music (EM), rock music (RM), and classical music (CM)) in artificial climate boxes, and a soil pot trial with treatments of PAFT and EM under non-flooded and flooded conditions. The results showed that the hydroponic treatments of PAFT and EM significantly reduced the Cd concentrations in roots and shoots (edible parts) of water spinach by 22.01–36.50% compared with the control, possibly due to sound waves decreasing the root tip number per unit area and increasing average root diameter, root surface area, and total root length. Sound wave treatments clearly enhanced water spinach biomass by 28.27–38.32% in the hydroponic experiments. In the soil experiment, the flooded treatment significantly reduced the Cd concentrations in roots and shoots by 43.75–63.75%, compared with the non-flooded treatment. The Cd decrease and the biomass increase were further driven by the PAFT supplement under the flooding condition, likely related to the alteration in root porosity, rates of radial oxygen loss, extractable soil Cd, soil Eh, and soil pH. Our results indicate that the co-application of plant acoustic frequency technology and flooded management may be an effective approach to reduce Cd accumulation in water spinach.

Firebrands are a widely observed phenomenon in wildland fires, which can transport for a long distance, cause spot ignition in the wildland–urban interface (WUI) and increase the rate of wildfire spread. The flame attached to a moving firebrand behaves as a potential pilot source for ignition, so extinguishing such a flame in the process of moving can effectively minimize its fire hazard. In this work, firebrands were represented by a dry wood ball with a diameter of 20 mm and a weight of 2.9 g, which carried a flame with the heat release rate of 250 W. The firebrand was held by a pendulum system to adjust the velocity. Results showed that there is a minimum sound pressure to extinguish the firebrand flame, which increases slightly with the sound frequency. As the firebrand velocity increases from 0 m/s to 4.2 m/s, the minimum sound pressure for extinction decreases significantly from 114 dB to 90 dB. The cumulative effect of firebrand motion and acoustic oscillation was found to facilitate flame extinction. A characteristic Damköhler number (~ 1), with the ratio of the fuel residence time to the flame chemical time, is used to quantify the extinction limit of the flaming firebrand. This work provides a potential technical solution to mitigate the hazard of firebrand flame and spotting ignition in WUI and helps understand the influence of acoustic waves on the flame stability on the solid fuel. [ABSTRACT FROM AUTHOR]

Abstract The detection of crack on materials is an important issue in industry. On the contrary to conventional methods, such as manual inspection, sensor detection, and image processing techniques, a new simple method to detect the crack is proposed with optical voice recorder based on digital holography in this paper. Holograms obtained with sound waves passing through the materials are recorded by using the digital holography technique. Temporal behavior of the sound wave passing through the material, which is obtained from these holograms, gives image of crack. In this article, cracks in various materials are determined by the proposed new method, and crack images obtained with this new system are presented.

Elastography is of great interest in biomechanics and medical imaging due to its nondestructive capability of mapping elasticity of tissues. The elastography framework relies on external excitations which actuate deformation inside an object. The internal response is then acquired and analyzed to map the distribution of elastic moduli. In this paper, with no need of measuring any internal responses, an integrated elastography method is developed which only requires the transmitted responses of applied sound waves. During the process, the tomography image (e.g., CT or MRI) and the applied waves are integrated into a computational model. Following a procedure of inverse analysis, the elasticity of all phases in the object is reconstructed when the computational transmission of waves matches with the measured transmission. The numerical simulation on brain tissues and a demonstration on silicon rubber phantom are conducted to validate the proposed method. Both cases demonstrate that the integrated method successfully predicts the real elasticity of samples. The verification measurements on the phantom further show that the predicted elastic moduli agree well with the experimental results of uniaxial compression testing.

Repairing cracks in the concrete of a building is very important to ensure the safety of a nuclear power plant. However, repair work in areas with very strong radiation is very difficult. Many robots have been proposed to solve this problem. However, they cannot operate wirelessly and have problems such as being left as debris in the event of an accident. To solve the problem, this paper investigates the feasibility of sound-driven robots. We focused on Helmholtz resonance to achieve this goal. In this paper, Helmholtz resonators were adopted as the drive source of the actuator, and a new prototype was created by devising the arrangement. We also examined the physical characteristics of the developed prototype. Unlike conventional actuators, the proposed device can be moved remotely simply by irradiating sound from the outside. The advantage of using sound waves is that the robot can move without being affected by electric or magnetic fields. Through some experiments, it was confirmed that the developed actuator can be moved remotely with sound.