Sound Control Research Articles

Study on the Application of Internal Control in the Management of Urban Commercial Banks

In February 2021, Baoshang Bank, whose total asset size had exceeded 500 billion, exited the stage of history with more than 200 billion in unpayable debts. Now look back on its life, from the clouds fell to the bottom. However, there are traces of its causes. Weak supervision of funds, the organizational structure of the organization is a sham, excessive concentration of equity internal governance failure eventually became the key to its demise. Therefore, this paper will take the current situation of rising non‐ performing loan rate of urban commercial banks as the entry point to discuss the importance of internal governance and make suggestions for the establishment of a sound internal control system in urban commercial banks.

Oncologic control and predictors of urologic reconstruction after Mohs micrographic surgery for low-risk penile malignancy.

Mohs micrographic surgery (MMS) is a low-risk penile cancer management option. However, contemporary patients' short-term oncologic control and preoperative characteristics predicting reconstruction needs are undefined. This study assesses MMS's oncologic efficacy for low-risk penile cancer and identifies baseline predictors of post-resection reconstruction referral. We retrospectively reviewed 73 adult males with 78 penile cutaneous malignancies treated with MMS from 2005 to 2019. Patients underwent MMS with or without surgical reconstruction. Demographic information, MMS operative details, lesion pathology, and short-term outcomes were recorded. Descriptive statistics for all variables were calculated, and logistic regression identified predictive factors for urologic referral for complex reconstruction. Seventy-three men with 78 lesions, all staged ≤ cT1a prior to MMS, were identified. Twenty-one men were found to have invasive SCC. Median follow-up was 2.0years (IQR 0.8-5.2years). MMS was able to clear the disease in 90.4% of cases. One patient had disease related death following progression. Dermatology closed primarily in 68% of patients. Twenty percent of patients had a complication, most commonly poor wound healing. On univariate and multivariate linear regression analysis, lesion size > 3cm and involvement of the glans independently predicted the need for referral to a reconstructive surgeon. MMS for penile cancer appears to provide sound oncologic control in the properly selected patient. Involvement of a reconstructive surgeon may be needed for glandular and large lesions, necessitating early referral to a comprehensive multidisciplinary care team.

Comparing Optimized Sound Absorption Coefficient of Aluminum Foam with Local Search Algorithm, Genetic Algorithm, and Particle Swarm Optimization

Introduction: The principle of passive sound control is based on the phenomenon of sound absorption by absorbers. The factors affecting sound absorption include porosity, pore size, pore opening size, thickness, and air flow resistance. Materials and methods: In this study, the authors compared the optimization results of the effective parameters on sound absorption coefficient (AC) using the three optimization methods: Guided Local Search (GLS), Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The programming was done in MATLAB software. Thicknesses of 5, 10, 20, 30 and 40 mm were chosen for optimization at frequencies of 500 to 3000 Hz. Results: In frequencies above 2 kHz (thickness 5 to 40 mm), the three optimal methods had the same performance and estimated AC of 1. At low frequencies of 2 kHz and thicknesses of 30 and 40 mm, GA and PSO methods obtained an AC of 1. Conclusion: It seems that the GA and PSO optimization algorithm are suitable methods to optimize the AC of metal foam in low and high frequencies.

Evaluation of forelimb gait variation overground at a walk in sound and lame dogs using a combination of diagnostic techniques

BackgroundKinetic and kinematic gait analysis is increasingly practised as a part of lameness evaluation in dogs. The aim of this study was to examine the normal short- and long-term variation in forelimb gait in sound control dogs (CD) at a walk using seven selected variables of objective kinetic and kinematic gait analyses. Also, to compare the findings in CD to a group of forelimb lame dogs with elbow osteoarthritis (OAD). An additional aim was to test a kinetic based graphic method for lameness detection; symmetry squares (SS). A prospective longitudinal study was carried out on client owned CD and OAD. Clinical and orthopaedic evaluations were performed to ensure soundness and detect and grade lameness. Seven kinetic and kinematic variables and SS were tested for lameness evaluation. The CD were divided into two subgroups, CD1 and CD2, and examined twice: CD1 with two months interval and CD2 with 3–4 h interval. The OAD group was evaluated once and compared to the CD groups’ first examination.ResultsThirteen CD and 19 OAD were included. For CD1 and CD2, there were no significant differences in any examined variable between examination occasions. Total peak force/impulse symmetry and fore-hind peak force/impulse symmetry differed significantly between OAD and CD. Symmetry squares had a 74% agreement to subjective orthopaedic evaluations.ConclusionsIn CD, no difference in the examined variables was seen between examination occasions. Four out of seven objective variables differed significantly between CD and OAD. The graphic SS method might have diagnostic potential for lameness detection, making it possible to detect a shift from lame to non-lame limbs. Potentially, this might be especially helpful in bilaterally lame dogs, which often represent a clinical challenge in lameness evaluation.

Digital Divide’s Impact on Accounting Information Systems Risks Faced by Financial Auditors: A Jordanian Case Study

The study emphasizes the importance of organizational structure, human capital, and legal controls in reducing accounting system risks. Three research questions explore the impact of the organizational structure, the role of human capital, and the significance of legal controls in risk reduction. Using statistical analysis, 104 questionnaires were distributed, and 76 were collected for the statistical analysis, including simple linear regression. The study reveals significant findings. The organizational structure plays a positive and influential role in establishing sound internal control systems that reduce accounting system risks. Qualified human capital contributes to technical progress, enhancing the accuracy and efficiency of financial audit activities. Robust legal controls effectively identify deviations, ensuring data integrity and compliance with international standards. Recommendations for the JDRC include establishing a clear organizational structure, investing in qualified human capital, and implementing comprehensive legal controls to mitigate accounting system risks. This study contributes to the literature by addressing unique variables and highlighting the risks and limitations of accounting systems within the JDRC. The findings inform organizations in similar contexts, guiding effective risk mitigation strategies and enhancing accounting system performance.

Sound and postural control during stance tasks in abnormal subjective haptic vertical.

Patients with vestibular impairment often suffer from postural instability. This could be compensated by other sensory systems such as the auditory system. The aim of this study was to investigate whether auditory input improves postural stability in patients with abnormal subjective haptic vertical (SHV). Participants (n = 13) with normal hearing and vision, but abnormal SHV participated. Participants performed standing on firm ground and foam support (eyes open/closed) and Tandem Romberg test (eyes closed) in quiet (reference), noise and with plugged ears. All tasks were conducted in a soundproofed and reverberant room. Postural stability was recorded close to the body's center of gravity. Reference conditions were compared with a control group. In only two tasks sway increased significantly when noise was presented during challenging tasks in the soundproofed room. Sway of the reference conditions did not differ significantly between control and study group. This study shows no influence of applied auditory stimulation on posture in participants with abnormal SHV in a reverberant room, but an adverse effect on balance during difficult tasks in the soundproofed room. Noise possibly masked auditory information that was helpful in improving posture in the quiet condition. Futhermore, noise might have distracted participants from maintaining balance.

Analysis of the Current Situation of the Development of Digital Inclusive Finance and the R&D Expenditure of Private Enterprises

With the rapid development of science and technology, digital finance, as an emerging financial service model, is rapidly emerging around the world. With the support of the Internet, big data, artificial intelligence and other advanced technologies, it has not only changed the traditional way of financial services, but also brought far-reaching impact on economic and social development. However, the coverage of digital finance is also becoming increasingly prominent, especially in some developing countries and regions, and the popularization and application of digital finance still face many challenges. There is a mutually reinforcing relationship between the development of digital inclusive finance and R&D expenditures of private enterprises. By strengthening guidance and support, promoting the deep integration of financial technology and the real economy, and establishing sound risk prevention and control mechanisms, the interaction and common development between the two can be further promoted. It is crucial to promote the sustainability of digital finance and improve the inclusiveness of financial services by collecting and analyzing relevant data, conducting field visits and interviews, conducting in-depth analysis of the current development status of inclusive digital finance, research and development expenditures of private companies, and analyzing current challenges and appropriate remedial measures.

Noise as an Extrinsic Variable in the Animal Research Facility.

Animal research facilities are noisy environments. The high air change rates required in animal housing spaces tend to create higher noise levels from the heating and cooling systems. Housing rooms are typically constructed of hard wall material that is easily cleaned but simultaneously highly reverberant, meaning that the sound cannot be controlled/attenuated so the sounds that are generated bounce around the room uncontrolled. (Soft, sound-absorbing surfaces generally cannot be used in animal facilities because they collect microbes; various wall surface features and sound control panel options are available, although rarely used.) In addition, many of our husbandry tasks such as cage changing, animal health checks, cleaning, and transporting animals produce high levels of noise. Finally, much of the equipment we have increasingly employed in animal housing spaces, such as ventilated caging motors, biosafety, or procedure cabinets, can generate high levels of background noise, including ultrasound. These and many additional factors conspire to create an acoustic environment that is neither naturalistic nor conducive to a stress-free environment. The acoustic variability both within and between institutions can serve as an enormous confounder for research studies and a threat to our ability to reproduce studies over time and between research laboratories. By gaining a better appreciation for the acoustic variables, paired with transparency in reporting the levels, we might be able to gain a better understanding of their impacts and thereby gain some level of control over such acoustic variables in the animal housing space. The result of this could improve both animal welfare and study reproducibility, helping to address our 3Rs goals of Replacement, Reduction, and Refinement in the animal biomedical research enterprise.

Near-infrared imaging in orthodontic intraoral scanners for early interproximal caries detection

Intraoral scanners commonly used in orthodontic offices now offer near-infrared imaging (NIRI) technology, advertised as a screening tool to identify interproximal caries. This study aimed to evaluate the reliability and validity of NIRI detection of interproximal carious lesions in a common intraoral scanner (iTero Element 5D; Align Technology, San Jose, Calif) with and without bitewing radiograph complement, compared with a microcomputed tomography (micro-CT) reference standard. Extracted human posterior teeth (premolars and molars) were selected for early (noncavitated) interproximal carious lesions (n= 39) and sound control surfaces (n= 47). The teeth were scanned via micro-CT for evaluation by 2 blinded evaluators using consensus scoring. The teeth were mounted to simulate anatomic interproximal contacts and underwent a NIRI scan using iTero Element 5D and bitewing radiographs. Two trained, calibrated examiners independently evaluated (1) near-infrared images alone with clinical photograph, (2) bitewing radiograph alone with clinical photograph, and (3) near-infrared images with bitewing radiograph and clinical photograph in combination, after at least a 10-day washout period between each evaluation. Interrater reliability was highest for NIRI alone (k= 0.533) compared with bitewing radiograph alone (k= 0.176) or in combination (k= 0.256). NIRI alone showed high specificity (0.83-0.96) and moderate sensitivity (0.42-0.63) compared with a micro-CT reference standard. Dentin lesions were significantly more reliably detected than enamel lesions. After rigorous training and calibration, NIRI can be used with moderate reliability, high specificity, and moderate sensitivity to detect noncavitated interproximal carious lesions.

Flexible human-machine interface touch system based on double-network solid-state ionic conductive elastomers

Recent trends have seen the adoption of soft gel-based ionic conductors in the development of touch pads to enhance flexibility. Yet, these gel-based systems are hampered by intrinsic limitations like dehydration and ion/organic reagent leakage. Here, we report a flexible touch system, ingeniously combining a surface-capacitive system with solid-state ionic conductive elastomers. Combination of salt-in-polymer and double-network structure strategies effectively addresses the longstanding trade-off between mechanical robustness and ionic conductivity. This flexible touch system supports a range of applications, from singular “point” interactions (flexible touch buttons) to “line” applications (stepless sound control and page turning) and finally, “surface” functionalities (game control and handwriting recognition). This research contributes significant insights to the advancement of next-generation human interfaces and IoTs.

Single Layer Silk and Cotton Woven Fabrics for Acoustic Emission and Active Sound Suppression.

Whether intentionally generating acoustic waves or attempting to mitigate unwanted noise, sound control is an area of challenge and opportunity. This study investigates traditional fabrics as emitters and suppressors of sound. When attached to a single strand of a piezoelectric fiber actuator, a silk fabric emits up to 70dB of sound. Despite the complex fabric structure, vibrometer measurements reveal behavior reminiscent of a classical thin plate. Fabric pore size relative to the viscous boundary layer thickness is found-through comparative fabric analysis-to influence acoustic-emission efficiency. Sound suppression is demonstrated using two distinct mechanisms. In the first, direct acoustic interference is shown to reduce sound by up to 37 dB. The second relies on pacifying the fabric vibrations by the piezoelectric fiber, reducing the amplitude of vibration waves by 95% and attenuating the transmitted sound by up to 75%. Interestingly, this vibration-mediated suppression in principle reduces sound in an unlimited volume. It also allows the acoustic reflectivity of the fabric to be dynamically controlled, increasing by up to 68%. The sound emission and suppression efficiency of a 130 µm silk fabric presents opportunities for sound control in a variety of applications ranging from apparel to transportation to architecture.

An Intelligent Controller of LED Street Light Based on Discrete Devices

To combat global environmental deterioration and energy scarcities, it is crucial to implement energy-saving upgrades for urban road lighting. Comparatively, LEDs have emerged as an advanced and eco-friendly lighting option due to their low energy consumption, excellent performance, high color rendering index, and prolonged lifespan. By incorporating solar cell technology, a smart LED street light controller based on small-scale integrated circuits was developed to enable intelligent control for various lighting needs such as dimming, timing, automatic detection, and sound and light control. Through circuit simulations and experimental outcomes, it has been validated that the controller’s structure and performance parameters align with the design specifications. This design encompasses knowledge from diverse fields, including fundamentals of circuit and electronic technology, photovoltaic cell technology, power electronics, and sensor technology, showcasing robust engineering and practicality. Its utilization in the experimental course for second-year college students majoring in electrical engineering contributes to the grooming of professionals and expands the perspectives of future talents, enriching their application of knowledge and practical innovation capabilities.

A Comprehensive Analysis of AI/ML-enabled Predictive Maintenance Modelling for Advanced Driver-Assistance Systems

Advanced Driver-Assistance Systems (ADAS) are changing driver-vehicle interactions to improve road safety and reduce distractions. Technological advances like ADAS and AI in cars present societal challenges and opportunities. It shows how AI aids human-machine communication by improving motor skills. The auto industry is interested in ADAS because it can increase energy efficiency, safety, and comfort. Numerous studies have shown its benefits. ADAS and vehicle networking show promise, but establishing a sound control system is challenging. Model Predictive Control (MPC) is one answer to these problems. To manage higher-level connectivity and automation, the paper analyses and implements key research. It also finds issues and recommends solutions. The latest driverless car ADAS improvements have dramatically increased passenger safety. These systems are safer and more automated using sensors and ECUs. Most ADAS have RADAR, cameras, ultrasonic, and LiDAR. This work uses AI/ML-enabled Predictive Maintenance modelling to improve ADAS safety and longevity. AI and ML in Advanced Driver Assistance Systems (ADAS) are significant vehicle safety and reliability advances. AI/ML-enabled predictive maintenance detects and fixes ADAS component faults. ADAS predictive maintenance using AI/ML can detect issues, improve driver safety, and boost vehicle efficiency. Advanced sensor arrays and control units are needed for adaptive cruise control, traffic sign recognition, and lane-keeping assistance. AI/ML algorithms discover issues and enable early interventions in predictive maintenance models. Predictive maintenance is examined utilizing classical machine learning, deep learning, and reinforcement learning. Integration of numerous AI/ML models, real-time data processing, customization based on vehicle usage patterns, scalability, and adaptability of predictive maintenance models to new ADAS technologies are research gaps.

Discussion on the Optimization Strategies for Comprehensive Budget Management of Media Enterprises Based on Strategic Orientation

In today's rapidly developing economic and social environment, media enterprises face increasingly fierce market competition and constantly changing market environments. To stand firm and develop steadily under such a backdrop, media enterprises should correctly recognize the importance of comprehensive budget management. As an effective management tool, comprehensive budget management can help enterprises optimize resource allocation, enhance operational efficiency, and thus strengthen their competitiveness and adaptability. Comprehensive budget management based on strategic orientation is key to the sustainable development of media enterprises. Strategic orientation emphasizes that an enterprise's budget management should be closely integrated with its strategy, ensuring that the budget formulation and execution align with the long-term development goals of the enterprise. By constructing a sound comprehensive budget management system, media enterprises can ensure the scientific, rational, and operational nature of their budgets, thus providing a strong guarantee for the development of the enterprise. Moreover, strengthening internal control is an indispensable part of comprehensive budget management for media enterprises. Establishing a sound internal control mechanism allows media enterprises to standardize the budget execution process, prevent budget overruns and waste, ensure the achievement of budget goals, enhance the enterprise's risk management capability, and help the enterprise respond to various risks and challenges in a timely manner.

Convolutional Neural Networks for Early Detection and Classification of Alzheimer's disease from MRI Images

This ponder examines the early discovery and classification of Alzheimer's Illness (AD) from MRI pictures utilizing Convolutional Neural Systems (CNNs) and other machine learning strategies. The investigation compares the execution of CNNs with conventional calculations such as Support Vector Machine (SVM), Random Forest (RF), and Extreme Gradient Boosting (XGBoost) on a dataset comprising MRI filters from Ad patients and sound controls. Results illustrate that CNNs accomplish prevalent precision (92%), affectability (90%), specificity (94%), and zone beneath the ROC bend (AUC) of 0.96 compared to SVM, RF, and XGBoost. The ponder highlights the potential of profound learning approaches, especially CNNs, in precisely distinguishing Ad pathology from MRI looks, encouraging early determination and intercession. This investigation contributes to the developing body of writing on the application of counterfeit insights in therapeutic imaging and underscores the significance of leveraging progressed computational procedures for handling complex neurological clutters. The discoveries hold a guarantee for progressing quiet results and healthcare administration within the field of neuroimaging and personalized medication.

Research on the characteristics of EV interior sound quality and its dynamic active control system design and development un-der accelerated driving conditions.

In order to improve the interior sound quality of Electric Vehicles (EV), solve the problem of low sense of power and comfort of the interior sound as well as the large electromagnetic excitation order noise of motor and the sharp interior sound, this article designs a dynamic active sound control system for EV under accelerated driving conditions. Firstly, by comparing and analyzing the sound spectrum characteristics of fuel vehicle (FV) and EV during acceleration, a short-time Fourier transform (STFT) is adopted to extract and synthesize the engine sound. Secondly, the influence of the engine order composition and the energy distribution in the frequency domain on the sound quality of the vehicle is analyzed, and an active control system for sound quality is proposed. And the software and hardware development of the active control sound system is completed. Finally, through real-vehicle testing and verification, the sense of comfort and power of the EV interior sound has been greatly improved during acceleration, and the total value of interior sound can meet the requirement. The sound pressure level and loudness of interior sound have been increased, and the sharpness of the sound inside the vehicle has been improved, with a maximum reduction of 1.0acum.

Research on local sound field intensity control technique in metasurface based on deep neural networks.

The use of tunable metasurface technology to realize the underwater tracking function of submarines, which is one of the hotspots and difficulties in submarine design. The structure-to-sound-field metasurface design approach is a highly iterative process based on trial and error. The process is cumbersome and inefficient. Therefore, an inverse design method was proposed based on parallel deep neural networks. The method took the global and local target sound field feature information as input and the metasurface physical structure parameters as output. The deep neural network was trained using a kernel loss function based on a radial basis kernel function, which established an inverse mapping relationship between the desired sound field to the metasurface physical structure parameters. Finally, the sound field intensity modulation at a localized target range was achieved. The results indicated that within the regulated target range, this method achieved an average prediction error of less than 5 dB for 92.9% of the sample data.

Integrating spatial-temporal soundscape mapping with landscape indicators for effective conservation management and planning of a protected area

Protected areas (PAs) possess generous biodiversity, making them great potential for human and wildlife well-being. Nevertheless, rising anthropogenic sounds may pose a serious challenge and threat to the habitats. Therefore, understanding the acoustic environments of PAs and implementing proper conservation strategies are essential for maintaining species richness within the territory. In this study, we investigate the spatial-temporal variations of soundscape distribution in the Dashanbao Protected Area (DPA) of China, ultimately discussing the planning and management strategies. Firstly, to systematically analyse the spatial-temporal soundscape distribution of the reserve, we generated single and multi-acoustic source maps by classifying geographical, biological, and anthropogenic sounds. In the region, we installed 35 recording points and collected sounds using the synchronic recording method. Secondly, we conducted Spearman correlation analyses to examine the relationships between the sound sources and i) temporal variations, ii) landscape feature indicators. Thirdly, we identified the dominant sound sources in the region and their conflict areas through the cross-analysis module of Grass Geographic Information Systems (GIS). Finally, we provided sound control strategies by discussing landscape indicators and land-use management policies. The results show that even though there is conservation planning in the DPA, anthropogenic sounds dominate in certain parts of the reserve depending on diurnal and seasonal cycles. This reveals deficiencies in the DPA's current planning concerning the soundscape and highlights the effectiveness of spatial-temporal mapping. Additionally, our correlation analyses demonstrate that landscape feature indicators can represent how sound environment is affected by landscape. The patch diversity (PD), landscape shape index (LSI), Shannon's Diversity Index (SHDI), woodland, shrubland, and water distance (WD) were identified as the primary predictors for both biological and anthropogenic sounds. None of the indicators exhibited a significant positive or negative correlation with geological sounds. Consequently, to enhance and conserve the acoustic quality of the region, spatial-temporal mapping with landscape indicators can be employed in the management and planning processes.

Weed Species’ Diversity and Composition as Shaped by the Interaction of Management, Site, and Soil Variables in Olive Groves of Southern Greece

Gaining a comprehensive understanding of how weed communities respond to both environmental and human-induced factors is of paramount importance in developing effective and ecologically sound weed control strategies. The objectives of the current research were to (1) assess the effect of the main weed management practices used in Greek olive groves on weed species’ diversity; (2) explore the filtering effect of management, site, and soil variables in determining weed species’ composition; and (3) shed light on the association between weed species’ composition and the diversity of the understory vegetation of olive groves. To accomplish these objectives, winter weed species’ coverage was assessed in 116 olive groves, both conventional and organic, distributed across three provinces in southern Greece. The investigation encompassed 29 explanatory variables, categorized into three groups: soil (22), management practices (6), and site conditions (1). It was confirmed that glyphosate use may lower biodiversity and species richness; however, this trend was not universal. In fact, the negative influence of the presence of Oxalis pes-caprae L. on species richness and diversity far outweighed the effect of spraying glyphosate. Redundancy analysis (RDA) revealed that among the 29 variables used to describe the ecological niche, eight (i.e., Mn, Mg, chemical spraying, mowing, rotary tiller, grazing, irrigation, and elevation) were significant and explained 21.5% of the total variation in weed species’ data. Interestingly, the soil Mn concentration was identified as the most influential one, highlighting the importance of soil micronutrients in determining weed species’ composition. The variation partitioning procedure demonstrated that the effect of the management variables on weed species’ composition accounted for 2.2 times the variance of soil variables and 4.5 times the variance of elevation. The present findings might help to enhance optimal management in olive groves that can sustain the biodiversity of flora and, in turn, provide various ecosystem services to agro-ecosystems.

Research on the parameter design and calibration and control of EV in-vehicle active sound generation system

In order to improve the interior sound quality of electric vehicles (EVs) under acceleration and uniform speed conditions, to balance the comfort and dynamics of the interior sound, and to improve the accuracy and performance of the active sound generation system (ASGS), this article carries out the research related to the parameter design, sound calibration, evaluation methodology, and control system of the EV ASGS. Propose an in-vehicle sound design method focusing on three dimensions, including engine order composition, spectral energy distribution, and sound amplitude enhancement in the typical speed range, and determine the in-vehicle sound design scheme and the total sound value target. Focus on the sound parameter design, calibration and evaluation methods of EV ASGS considering the frequency response characteristics of the loudspeaker, sound amplitude control accuracy, sound quality, and psychoacoustic parameters, clarify the active sound parameter settings of EVs, complete the analysis of sound extraction methods, complete the engine order sound fitting, and design the ASGS of the EV interior by combining the subjective and objective evaluations. Develop the control software and hardware of the ASGS, complete the construction and accuracy verification of the ASGS based on the in-vehicle sound system, and realize the sound calibration of the ASGS under the static conditions of the real vehicle and the verification of the target achievement. The real-vehicle test shows that the ASGS reduces the sharpness of 1.0 acum and 0.52 acum under acceleration and constant speed conditions, respectively, and improves the comfort and dynamics of in-vehicle sound. The objective and subjective evaluation results show that the parameter design, selection and accuracy of the sound calibration and evaluation methods of the ASGS in the EV determines the accuracy and effect of the ASGS.