bluuebunny/crossref_metadata_2025 huggingface dataset:
The Acoustics Knowledge Alliance project: the most recent addition to the Acoustic Courseware online educational platform
Authors: Jambrošić Kristian , Aspöck Lukas , Carayol Emilie , Herweg Andreas , Horvat Marko , Jaruszewska Karolina , Novak Antonin , Sluyts Yannick , Wojtyla Blažej
Published: December 2023

The explanation of principles in acoustics can benefit from the use of easily accessible materials enhanced with interactive content and capable of providing feedback from the users. This idea led to the development of the Acoustics Courseware (ACOUCOU) platform, an online open-access
interactive platform that contains educational materials on acoustics. At this time, it consists of three different courseware: a multibook Acoustics in Architecture, the Acoustic Course for Engineers (ACE) with the focus on machinery, automotive and rail industry, and the Acoustic Course
for Industry (ACI) focused on environmental and industrial noise, its impact on human health and the ways it can be managed. The latest addition will be the courseware developed in the frame of the Acoustic Knowledge Alliance project (ASKnow), which is now in its final stages of implementation.
The courseware cover five fields: acoustic fundamentals, psychoacoustics, acoustic simulation and auralization, electroacoustics, and room and building acoustics. Each field is covered with thirty lessons and two practical cases. The aim of this paper is to present the current content available
on the ACOUCOU platform, but also the implementation and the most recent results of the ASKnow project. ASKnow is funded by the Knowledge Alliance program of the EU.
Evaluation test of circular acoustic reflector based on number theory prototyped made utilizing additive manufacturing
Authors: Takahashi Yoshinori , Makino Isao
Published: December 2023

As an application of number theory to the field of acoustics, acoustic reflectors with phase diffraction grating based on Galois fields or primitive roots have been studied. These reflectors have a structure with equally spaced depressions of irregular depth that diffuse acoustic wave
in various directions. To generate the sequence of irregular numbers needed to determine the depth of the concavity, methods such as using a primitive element of a Galois field the remainder of the power of a primitive root of a prime number have been proposed. In either method, the depth
of the depressions is taken from 0 to half of the wavelength of the sound wave to be diffused, and the spacing between the protrusion or depression is designed to be quarter of the wavelength, resulting in a rectangular shaped reflector. The proposed method not only allows the design to change
from rectangular to circular, but also makes it possible to construct a structure corresponding to multiple wavelengths on a single reflector. In this report, the effectiveness of the proposed reflector will be demonstrated through a model experiment of a prototyped reflector by using additive
manufacturing.
Disease detection using machine learning techniques in time-frequency domain
Authors: Matoba Yuki , Ishimitu Shunsuke , Okada Natsumi , Yumoto Seiji , Mikami Osamu , Inoue Hiroaki , Ishida Mitsuyoshi , Tanaka Daisuke
Published: December 2023

According to the livestock statistics of the Ministry of Agriculture, Forestry, and Fisheries, the number of animals per household in Japan has increased since its peak in 1962; this indicates the recent shift in the trend toward large-scale farming in the livestock industry. Consequently,
the occurrence of a livestock epidemic under such circumstances is likely to cause significant damage. This study aimed to detect respiratory diseases in livestock at an early stage. First, the temporal variation of heartbeat and respiration frequencies was analyzed considering the body-conducted
sound of pigs in the time-frequency domain. Second, the effectiveness of time-frequency parameters was validated by training and adapting a machine-learning model to detect the disease. The proposed neural network, which has time-frequency parameters as the input, was found to require a shorter
training time and exhibited higher accuracy in constructing the disease detection model. These results are expected to aid in automating livestock health management.
Investigation of physiological responses on drone noise in a laboratory condition
Authors: Kim Ga-Young , Won Dae-Gwan , Kim Yong-Hee , Jeon Sang-Eun , Kim Sang-Ho , Lee Seung-Soo
Published: December 2023

This study analyzed the impact of drone noise on human physiology in a laboratory environment using recorded data. It focused on the noise generated by drones during hovering flight. Two drone noises with various spectral characteristics were collected through the field measurements.
To assess the effect of immersion, subjects were exposed to both auditory and visual stimuli, including images and videos of the drones. Physiological responses were recorded using a 14-channel EEG device and a wrist-worn device that monitored HR, IBI, EDA, and skin temperature. A preliminary
experiment was conducted with four subjects to evaluate the differences in drone types and individual physiological responses. The study also analyzed the relationship between physiological responses and physical noise characteristics and explored methods to reduce noise during physiological
response collection.
Understanding the Main Correlates of Annoyance of Home-Type Laser Printer Noise
Authors: Atamer Serkan , Altinsoy M. Ercan
Published: December 2023

Printer noise has always been considered to a major source of annoyance in open-plan offices. However, the increasing home office times after pandemics also raised questions about the annoyance from the noise of home-type printers. Primarily due to their dominant tonal characteristics,
home-type laser printers were selected as example in this study. First, laser printers available in the market were investigated in terms of their price, printing speed, weight and declared sound power level (if available). Then, some printers were selected and their sounds were recorded under
anechoic conditions. Variations in signal characteristics were observed in terms of both acoustic and psychoacoustic parameters. New variations were generated by level changes and filtering out strong tonal components from the existing recordings. At the end, a listening test was conducted
to understand the main correlates of noise annoyance and to obtain the verbal descriptors of the noise from the participants.
Effects of power-assist and load torque on vibration characteristics of electric bicycles
Authors: Kaji Yusuke , Inoue Hirofumi , Saito Akira
Published: December 2023

There is a growing demand for electric bicycles from environmental and health perspectives. The electric bicycles are power-assisted by electric motors. In order to increase their power output and performance, it is necessary to understand their effects on the vibration characteristics
of electric bicycles. However, it is not clear how the vibration characteristics of the bicycle are affected by the electric motors' assist for various load torques. This presentation discusses the effects of power-assist on the vibration response of the electric bicycle for various load torques.
By conducting experimental modal analyses and running tests of the bicycle under various conditions, the vibration components caused by the structural vibration mode of the bicycle and by the electromagnetic effects of the power-assist were identified. Frequency components related to the rotational
frequency of the tire were observed. Also, regardless of the load condition, frequency components related to mechanical resonance, and sidebands of the switching frequency caused by the power-assist were observed. Moreover, as the load torque increases, the vibration acceleration also increases
especially at the handlebar. Furthermore, when the assist is not activated, the vibration acceleration is proportional to the magnitude of the load torque in the ride comfort affected frequency range.
Broadband low frequency noise attenuation using thin acoustic metamaterials for aircraft cabin noise mitigation
Authors: Kone Tenon Charly , Ghinet Sebastian , Panneton Raymond , Grewal Anant
Published: December 2023

Broadband noise attenuation at low frequencies is a challenge for the aeronautical, ground transportation and construction industries. In the past few decades, various low frequency noise control solutions, based on acoustic metamaterials designs, have been presented in the literature.
The proposed technologies showed promising acoustic performance and are considered as better solutions when compared to conventional sound insulation materials in application fields such as aerospace, where the available space for their integration is extremely limited. The noise attenuation
of typical metamaterials is characterized by very narrow resonant frequency maxima which represent a good solution for tonal noise. However, in practical applications, the slight variations of the tonal noise frequencies may render a metamaterial ineffective. This paper presents a thin acoustic
metamaterial design for improved broadband noise attenuation at low frequencies. The geometry is an assembly of structured materials arranged in parallel and embedded in a layer of fiberglass. The two structured materials are designed such that their resonant frequencies are optimally regrouped
to create a resonant frequency band of maximum attenuation at low frequencies. A thermo-viscous acoustics approach was solved numerically with COMSOL Multiphysics in the frequency domain to predict the sound absorption coefficient and the normal incidence sound transmission loss of the proposed
metamaterial design. The results obtained show a wide frequency band noise attenuation for this metamaterial at low frequencies.
Vibration Suppression of a Hull Section by Shunted Piezoelectric Patches: Experiments
Authors: Zheng Zhiwei , Zhang Qixiang , Huang Xiuchang , Hua Hongxing
Published: December 2023

In this paper, shunted piezoelectric patches are applied to suppress multiple vibration peaks of a hull section caused by a shaker on the center of the closed bulkhead, which is considered as a vibration source caused by the propulsion shaft. Based on the principle of maximum strain,
the positions of piezoelectric patches for different vibration frequencies are determined through modes of the hull section and strain gauges. Large inductance and negative capacitance are achieved by synthesized impedances based on operational amplifiers. Comparing the effect of the RL circuit
and the RL-NC circuit, it is proved that parallel negative capacitance can significantly improve the control effect.
Assessment of Materials on Covid-19 Spread Prevention in Public Buildings
Authors: Kusno Asniawaty , Hamzah Baharuddin , Jamala Nurul , Kamil Kusno , Malinta Qushay Umar , Muhammad Munawir
Published: December 2023

This research is an attempt to suppress the spread of COVID-19 in public buildings through the application of materials that may prevent the spreading of SARS-CoV-2 while at the same time improving audial comfort in such buildings. Study on the capability of materials to break further
spreading of the virus applied by measuring the presence of SARS-CoV-2 RNA on the material based on exposure time (0, 3, 6, and 9 minutes). This RNA tracing procedure is repeated on the surface of aluminum, tiles, carbon steel, glass, gypsum, copper, and painted cement on the wall. The results
showed that the CT value (cycle threshold) of all materials was approximately 25, which means that they still have the potential to spread the virus. Slightly different results occur on the gypsum surface where the viral envelope (gene E) is not detected with a CT value of 36, meaning no chance
of the virus spreading. The same materials will undergo measurement of sound absorptive characteristics to assess their effect on the audial comfort in the building. The results of the study are expected to be a reference before their application as interior materials in public buildings.
Analysis of turbulence distortion effects on flow-induced noise prediction for propeller blade sections
Authors: Santos Fernanda L. dos , Bosschers Johan , Venner Cornelis H. , Santana Leandro D. de
Published: December 2023

Amiet's leading-edge (LE) noise prediction model estimates the noise generated by inflow turbulence interacting with an infinitely thin flat plate. Previous studies showed that Amiet's theory underpredicts foil LE noise levels for high frequencies because the inflow turbulence is distorted
by the mean flow acceleration in the foil LE region and this effect is not accounted for in the model. Recent investigations proposed a method to account for turbulence distortion in Amiet's model, showing good agreement with experimental data for airfoils. In the current study, we will discuss
and analyze the influence of this new method on the noise prediction for propeller blade sections operating under realistic inflow conditions. In addition, the comparison of LE and trailing-edge (TE) noise is analyzed. The analysis is performed for the BB2 hull and the S7692 propeller, considering
blade sections located at 70% and 90% of the propeller radius. The input for the noise prediction is determined numerically. The results show that the noise prediction accounting for the turbulence distortion most strongly affects the LE noise in the high-frequency range and the frequency
where the dominant noise-generation mechanism shifts from the LE to the TE.
The effective sound absorption contributed by added occupants in classrooms
Authors: Choi Young-Ji
Published: December 2023

The effects of the distribution of occupants in partially occupied classrooms were experimentally investigated in four university classrooms. The frequency-averaged (500-4000 Hz) absorption values per occupant were largest for the 50% occupancy cases among four percentage occupancies,
25%, 50%, 75%, and 100%, in the four classrooms. The frequency-averaged (500-4000 Hz) sound absorption per occupant values were linearly related to the perimeter values of the seating blocks in the classrooms. Perimeter values of seating blocks were proposed as a measure of the expected differences
in absorption values between various seating blocks having the same areas in the classrooms. The incremental changes in other classrooms due to varying percentage occupancy can be estimated from the resulting regression equations.
A laboratory experiment on subjective evaluation of the sound quality of aircraft noise
Authors: Morinaga Makoto , Kobayashi Tomohiro , Hanaka Kazuyuki , Shimoyama Koji , Nakazawa Toshiyasu , Shinohara Naoaki
Published: December 2023

This study investigates the relationship between aircraft noise's sound quality and subjective impressions. Laboratory experiments were conducted to examine how the impression of aircraft noise differs depending on its sound quality. First, an experiment by the semantic differential
method was conducted using sounds of various aircraft models, including those from the 2000s and earlier, as stimuli. The results showed that even when the A-weighted sound pressure levels were equal, the sounds of recent aircraft were perceived more positively, suggesting that a decrease
in sharpness was the cause. In addition, another experiment by the method of adjustment was conducted to examine the effect of extraordinary tonal sounds included in aircraft noises. As a result, it could not be said that the extraordinary tonal sounds negatively affected the evaluation of
aircraft noise.
Translating the Soundscape Attributes into Korean
Authors: Kim Tae-Hui , Kim Geon-Hee , Hong Joo-Young
Published: December 2023

The soundscape standard (ISO/TS 12913-2) deals with perceptual attributes based on data collection methods and protocols. Currently, the soundscape attributes and questionnaire protocols are established in English. Thus, it is not clear whether the results of the soundscape studies
can be compared with other languages. In this context, this study aims to translate eight soundscape attributes into Korean. Translation of soundscape attributes from English to Korean requires fidelity in the psychoacoustic and psycholinguistic senses. This study employed a quantitative evaluation
method to assess the overall accuracy and fidelity of translation for eight attributes (pleasant, annoying, vibrant, calm, chaotic, and monotonous). For the translation, 94 Korean attributes corresponding to the eight attributes were collected. Through the quantitative evaluation, eight Korean
attributes were suggested and validated.
Robustness optimization of active headrest with virtual sensing to head rotation
Authors: Chen Hongyu , Yu Yang , Zou Haishan , Lu Jing
Published: December 2023

The movement and rotation of the human head will cause changes of acoustic transfer functions, leading to the performance deterioration of active headrests with virtual microphones. This paper uses a transfer response model optimization method to improve the performance robustness of
active headrests with remote microphones to the head rotation. The variation of transfer functions with head rotation and the improvement of the system performance by the optimization method are analyzed for three different acoustic environments, including an anechoic chamber, a normal room
and a lightly damped room. The experimental results verify that the optimization method can improve the performance robustness of the active headrest to head rotation under different acoustic conditions. When the head rotates from -90 deg. to 90 deg., the minimum noise reduction at 125Hz,
250Hz and 500Hz is improved by 7.2~11.0 dB. The noise reduction of the optimized system thus remains above 10 dB in the anechoic chamber and in the ordinary room, while in the lightly damped room the noise reduction is above 6 dB due to strong reflections.
Predictions for sound events and soundscape impressions from environmental sound using deep neural networks
Authors: Hara Sunao , Abe Masanobu
Published: December 2023

In this study, we investigate methods for quantifying soundscape impressions, meaning pleasantness and eventfulness, from environmental sounds. From a point of view of Machine Learning (ML) research areas, acoustic scene classification (ASC) tasks and sound event classification (SEC)
tasks are intensively studied and their results are helpful to consider soundscape impressions. In general, while most of ASCs and SECs use only sound for the classifications, a soundscape impression should not be perceived just from a sound but perceived from a sound with a landscape by human
beings. Therefore, to establish automatic quantification of soundscape impressions, it should use other information such as landscape in addition to sound. First, we tackle to predict of two soundscape impressions using sound data collected by the cloud sensing method. For this purpose, we
have proposed prediction method of soundscape impressions using environmental sounds and aerial photographs. Second, we also tackle to establish environmental sound classification using feature extractor trained by Variational Autoencoder (VAE). The feature extractor by VAE can be trained
as unsupervised learning, therefore, it could be promising approaches for the growth dataset like as our cloud-sensing data collection schemes. Finally, we discuss about an integration for these methods.
Decoding acoustic tone from vibrating paper using a smartphone
Authors: Singh Lokendra , Gupta Arpan
Published: December 2023

The availability of low-cost cameras and the development of computer-vision methods have driven the demand of vision-based technology in real-world applications. In this study, we examine the effect of sound on a thin sheet of paper placed 5 cm away from the sound source (speaker).
Tiny movements on the paper induced due to the sound generated using speaker were recorded in the video. The slow-motion feature of the smartphone camera is used to observe the sound vibrations. The video was recorded at rate of approximately 240 frames per second and pure tone with frequency
varying from 50 Hz to 110 Hz has been detected on the piece of paper. A computer vision method employing Harris-corner detection technique is used to detect the feature movement caused with respect to the sound played. It also opens the possibility of finding the frequency of the noise generated
due to nearby sound sources by observing the movements on the membrane, curtains, plant leaves, etc. Further it serves as a basis to work in the direction of extracting the sound information using the vision technique employing simple smartphone.
Optimal viscoelastic properties for passive damping treatments
Authors: Rouleau Lucie , Lossouarn Boris , Deü Jean-François
Published: December 2023

In the context of noise and vibration control, constrained viscoelastic materials can be used to reduce structure-borne noise of vibrating structure. This passive damping treatment finds many applications due to its robustness and low cost. While several approaches are proposed in the
literature to optimise the placement of constrained viscoelastic patches, few studies has been dedicated to the optimisation of the viscoelastic material's properties. The difficulty stems from their frequency-dependency. In this work, a fractional derivative model is used to describe the
complex frequency-dependent viscoelastic properties. This study illustrates the effectiveness of using surrogate modeling to predict the damping performance of viscoelastic patches. A multi-model reduction method combined with a modal parameter identification method is used to build a surrogate
model at a reasonable computational cost. Once trained, this metamodel is explored to optimise the parameters of the fractional derivative model, thus allowing the design optimisation of viscoelastic properties. This approach could be extended to optimise the material properties of viscoelastic
foams in the low frequency range.
The contribution of selected auditory sensations to the prediction of preference judgements for consonant and dissonant sounds
Authors: Rieger Anna , Par Steven van de , Rabl Hans-Peter , Oetjen Arne
Published: December 2023

Product sounds with clearly audible tonal components are often perceived as unpleasant or annoying. If different simultaneously operating aggregates are present in a system, for example vehicle engines and gearboxes, the interaction of tonal components, similar to music, can evoke additional
sensations in human auditory perception. Supplementary to a pronounced tonality, such sounds can also yield distinct degrees of consonance or dissonance between tones. Previous studies showed that the perceived dissonance had a high impact on preference judgements for sounds with similar tonality.
In experiments of the present study, sounds that differed in tonality were rated with respect to the auditory sensations sharpness, tonality and dissonance by one group of participants while another group only carried out a preference task. Thereout a model for predicting perceived preference
is derived from the subjective judgements of auditory sensations. The performance of the preference predictions based on subjective judgements will be compared against purely model-based predictions using different algorithms for acoustic attributes.
Computational model for predicting sound quality metrics using loudness model based on gammatone/gammachirp auditory filterbank and its applications
Authors: Isoyama Takuto , Kidani Shunsuke , Unoki Masashi
Published: December 2023

Sound quality metrics (SQMs), such as sharpness, roughness, and fluctuation strength, have been utilized to study the perceived pleasantness or unpleasantness of sounds. Computational models for predicting SQMs have been proposed, commonly based on Zwicker's loudness method (ISO 532B:1975).
ISO 532 was revised in 2017; Moore & Glasberg's loudness method for stationary sound was adopted in ISO 532-2:2017, while Zwicker's loudness method for stationary and time-varying sound was revised in ISO 532-1:2017. There are a few important differenterences between the two methods, such
as the frequency scale (Bark scale or ERB scale) and filter shape (symmetry or asymmetry). It therefore might be necessary to revise these computational models for predicting SQMs on the basis of these revisions. We previously proposed a time-domain computational model for predicting SQMs
on the basis of a loudness method using the time-domain auditory filterbank. This loudness method can be regarded as a time-domain version of Moore & Glasberg's method in ISO 532-2:2017, using gammatone/gammachirp auditory filterbanks instead of the roex auditory filterbank, which does
not have any time-domain representations. In this paper, we introduce calculations for three SQMs (sharpness, roughness, and fluctuation strength) using the proposed model for predicting SQMs.
New stakes and challenges for transport noise observatories, Case studies for Acoucité, skills cluster for French Metropolises
Authors: Vincent Bruno , Munoz Patricio , Janillon Valérie , Carra Sébastien , Olny Xavier
Published: December 2023

Founded in 1996, at the initiative of research centers and Metropolises, Acoucité is the first independent structure, a non-profit association, entirely dedicated to the observation of transport noise. It supports a dozen noise observatories based on: - Acoustic measurement networks;
- Noise maps complying with European standards; - Perception surveys. This article presents the new regulatory, technological and ethical challenges that noise observatories must meet, and in particular those related to: - New technologies and their articulation with regulations on the protection
of personal data (when using artificial intelligence for acoustic recognition from recordings); - Work on noise cameras in order to fine abnormally noisy vehicles; - New indicators characterizing event noise, which will soon enter the regulations; - Regulations (LOM) that define noise not
as an annoyance but as a pollution; - Health issues of noise (as a pollution) through the health impacts documented by the WHO (guideline for Europe, 2018); - Cross-consideration of environmental pollution (noise and air quality). Observatories must indeed contribute to a better knowledge
and understanding of these emerging issues by relying on the scientific community.
A Pilot Scheme for Public Education on Minimizing Noise and other Environmental Nuisances from Domestic Renovation
Authors: WONG Cheung Lam , CHING Antonio , NG Anthony , NG Harold
Published: December 2023

A public survey conducted in Hong Kong has revealed that renovation noise is the most annoying noise source affecting residences. The problem is attributed to the lack of a good culture in the application of quiet methods and the adoption of building management practices. This paper
will present on a pilot scheme funded by the Environmental and Conservation Fund which is a 2-years education / promotion programme for enhancing the general public and relevant professions with the knowledge about the use and advantages of quiet tools and good management rules in domestic
renovation work. The paper will also give an account on the methodology for evaluation of the pilot scheme.
A Mock-up Laboratory for Arousing Public Awareness on the Use of Quiet Methods for Domestic Renovation
Authors: WONG Cheung Lam , CHING Antonio , NG Anthony , NG Harold
Published: December 2023

Owing to the compact living environment in Hong Kong, multi-storey buildings and multi-flatted settings are very common, giving rise to easy transmission of renovation noise from one flat to many other flats in the same residential building. The problem is particularly serious as refurbishment
works are frequent and they often involve noisy demolition of wall / floor tiles and other works with concrete removal such as channelling for concealed conduits. This paper will describe the design and operation of a mock-up laboratory for simulation of renovation noise transmission and arousing
public awareness on the importance of reducing such disturbance by demonstrating the noise annoyance caused by typical renovation activities and the noise reduction and other benefits from quiet tools. This laboratory is intended for visits by relevant professionals and designers in the field
of construction, practitioners in the renovation industry, and people from the academic sector. Technical findings on the various demonstrations will also be presented.
Field acoustical measurements for sound insulation residences against aircraft noise
Authors: Sugie Satoshi , Toyoda Emi
Published: December 2023

In this paper, we have investigated measurement methods of the sound insulation performance for residences treated with increased sound insulation near airports in Japan. The flyover measurement method and the loudspeaker measurement method are conducted to verify the performance. The
first one provides the performance of the whole facades of a house using aircraft noise, approximately similar to the FAA method described in ASTM E966. The pressure level outdoors is measured at enough high position to ignore the interference with sound from the ground or the house roof.
However, the microphone is sometimes put on the roof surface because of being in the house's shadow in the overcrowded residential area. Thus, we have investigated the sound pressure level difference between the high and surface positions using simple numerical analysis and field measurement.
On the other hand, the outdoor and indoor loudspeaker methods are conducted for facade elements such as windows and doors, according to JIS A 1520. The sound insulation performance for facade walls is also measured with ISO 16283-3; however, the loudspeaker sometimes cannot be positioned far
enough from the wall. Thus, we have proposed the measuring method for the facade wall by applying the indoor loudspeaker method.
Effect of Added Natural and Artificial Sounds on Emotional Response and Indoor Soundscape to Residential Noises
Authors: Lee Songmi , Kim Dokyeong , Ryu Jongkwan
Published: December 2023

This study investigated the effect of added natural and artificial sounds on emotional responses due to residential noises. The laboratory experiment conducted on three residential noise sources (child jumping and plumbing from upper unit and air conditioner outdoor unit) with different
sound spectrum and temporal characteristics. In addition, combined sounds with residential, natural (one birdsong and three water sounds of waterfall, sea wave, and stream) and artificial sound (brown and white noise) were set. The experiment consisted of two sessions; self-assessment manikin
and indoor soundscape assessment for each sound sources (single and combined residential noises) presented by headphone and woofer. As a result, most combined natural and artificial sounds resulted in more positive changes (higher valence and lower arousal score) than single residential noise.
Among combined sounds, multiple natural sound (birdsong + stream) with residential noise showed significant difference from single residential noises such as air conditioner outdoor unit and plumbing noise. Meanwhile, eight affective attribute scale for indoor soundscape assessment showed
two main perceptual dimensions and most added natural and artificial sounds had a role in increasing comfort.
A framework to simulate and to auralize the sound emitted by aircraft engines
Authors: Moreau Antoine , Prescher Andrej , Schade Stephen , Dang Maikhanh , Jaron Robert , Guérin Sébastien
Published: December 2023

In civil aviation, the well-established Effective Perceived Noise Level (EPNL) has remained, so far, a simple but reliable psycho-acoustic metric, representing the backbone of noise regulation politics and leading to quieter aircraft turbofan engines. However, the recent changes induced
by further acoustic optimization of engines, or the introduction of innovative designs, suggest that a more refined assessment than the sole EPNL metric is needed, which is based on sound auralization. The paper presents a framework of simulation tools that are currently being developed at
the DLR Engine Acoustics Department with the goal of assessing novel designs at a very early development stage. This framework allows to simulate acoustically an engine flyover and to produce audible signals as perceived by a virtual observer standing on the ground. The source calculation
is performed by the tool PropNoise and relies on analytical physics-based models for the fan noise sources, and Stone's semi-empirical jet noise model. The subsequent tool VIOLIN simulates the propagation of sound through the atmosphere and the ground reflection effects. Finally, the spectrograms
of the broadband and tonal noise components are converted to audible sound by the auralization tool CORAL. The procedure is applied to a realistic engine test case and compared with experimentally recorded sound.
SQAT: a MATLAB-based toolbox for quantitative sound quality analysis
Authors: Greco Gil Felix , Merino-Martínez Roberto , Osses Alejandro , Langer Sabine C.
Published: December 2023

Literature suggests that psychoacoustic metrics, which are established by models firmly based on the human auditory system, are able to better approximate perceptual attributes of sounds in a quantitative manner than conventional metrics based on the sound pressure level. Therefore,
psychoacoustic metrics are commonly used as sound quality indicators in practical applications, such as product design or environmental noise assessment, in which human perception plays an important role. However, their calculation is not straightforward and the non-availability of verified,
well-documented, open-source implementations in a single environment poses a challenge to reproducible research. In this contribution, we introduce the sound quality analysis toolbox (SQAT), an open-source compilation of MATLAB codes containing the implementation of the following key psychoacoustic
metrics: loudness (ISO 532-1:2017), sharpness (DIN 45692:2009), roughness (Daniel & Weber's model), fluctuation strength (Osses et al. model), and tonality (Aures' model). A comprehensive description of the implemented psychoacoustic metrics is provided. Furthermore, a verification study
is presented in order to demonstrate the reliability of the implementations, supporting the use of SQAT as a reliable tool for future works in the field of sound quality assessment based on psychoacoustic metrics.
Comparative study on interpolation method for road traffic noise level behind buildings in Japanese city blocks for noise mapping
Authors: Harada Kazunori , Hiraguri Yasuhiro , Oshima Takuya , Saito Yoshinori , Atobe Satoshi
Published: December 2023

In this study, for reducing the computational load in estimating noise levels behind buildings in Japanese city blocks for noise mapping, 29 interpolation methods were examined for estimating road traffic noise maps for city blocks facing flat roads or elevated roads. As a result, when
using the same interpolation method for all city blocks, the RBF -radial basis function- interpolation (radial basis function: thin plate) has the highest interpolation accuracy for city blocks facing flat roads, and the same method has also the highest interpolation accuracy for elevated
roads regardless of their height. For safe side estimation, the IDW -inverse distance weighting- method (p=3) is the most appropriate.
Kidney Immune Cell Characterization of Humanized Mouse Models
Authors: Noel Sanjeev , Kurzhagen Johanna T. , Lee Sul A , Sadasivam Mohanraj , Hamad Abdel R.A. , Pierorazio Phillip M. , Rabb Hamid
Published: December 2023

Key Points

Experimental studies often fail to translate to clinical practice. Humanized mouse models are an important tool to close this gap.

We immunophenotyped the kidneys of NOG (EXL) and NSG mouse strains engrafted with human CD34+ hematopoietic stem cells or PBMCs and compared with immune cell composition of normal human kidney.

Human CD34+ hematopoietic stem cell engraftment results in steady renal immune cell populations in mouse kidney with key similarities in composition compared with human kidney.

Successful translation of experimental mouse data to human diseases is limited because of biological differences and imperfect disease models. Humanized mouse models are being used to bring murine models closer to humans. However, data for application in renal immune cell–mediated diseases are rare. We therefore studied immune cell composition of three different humanized mouse kidneys and compared them with human kidney. NOG and NOGEXL mice engrafted with human CD34+ hematopoietic stem cells were compared with NSG mice engrafted with human PBMCs. Engraftment was confirmed with flow cytometry, and immune cell composition in kidney, blood, spleen, and bone marrow was analyzed in different models. The results from immunophenotyping of kidneys from different humanized mouse strains were compared with normal portions of human kidneys. We found significant engraftment of human immune cells in blood and kidney of all tested models. huNSG mice showed highest frequencies of hTCR+ cells compared with huNOG and huNOGEXL in blood. huNOGEXL was found to have the highest hCD4+ frequency among all tested models. Non-T cells such as hCD20+ and hCD11c+ cells were decreased in huNSG mice compared with huNOG and huNOGEXL. Compared with normal human kidney, huNOG and huNOGEXL mice showed representative immune cell composition, rather than huNSG mice. In summary, humanization results in immune cell infiltration in the kidney with variable immune cell composition of tested humanized mouse models and partially reflects normal human kidneys, suggesting potential use for translational studies.
Study on the cold tolerance of maize (Zea mays L.) inbred lines in Phytotron
Authors: Csepregi-Heilmann Eszter , Áldott-Sipos Ágnes , Mészáros Anita , Kovács Anett Klaudia , Spitko Tamás , Szőke Csaba , Pintér János , Berzy Tamás , Széles Adrienn , Marton Csaba L.
Published: December 2023

Maize has come a long way from the tropics to the temperate zone. In the beginning, the spreading of maize was prevented by its sensitivity to cold. Improved cold tolerance at germination is one of the most important conditions for early sowing. The advantage of cold tolerant hybrids is that they can be sown earlier, allowing longer growing seasons and higher yields, due to the fact that the most sensitive period in terms of water requirements, flowering, takes place earlier, i.e. before the onset of summer drought and heat.
In Martonvásár, continuous research is carried out to improve the cold tolerance of maize. In the present experiment, the cold tolerance of 30 genetically different maize inbred lines was investigated in a Phytotron climate chamber (PGV-36). The aim of our research is to identify cold tolerant lines that can be used as parental components to produce proper cold tolerant hybrids and/or as sources of starting materials for new cold tolerant inbred lines. After observing and evaluating changes in phenological traits under cold-test, the results of the cold-tolerance traits of interest have been used to highlight several inbred lines that could be good starting materials for further research on genetic selection for cold tolerance.
Influence of temperature and variety on seed germination of soybean (Glycine max L. Merr) at different germination times
Authors: Abd Ghani Rosnani , Jolánkai Márton , Omar Suhana , Khalid Noriza , Tarnawa Ákos
Published: December 2023

Seed germination is an important stage in crop development that affects plant performance, crop yield, and quality. Many factors influence seed germination, and one of the most important factors is temperature. The closer the temperature is to the optimum, the faster germination will occur. Temperature affects seed germination in various plants and varies depending on the variety. Therefore, the effect of temperature on seed germination is necessary to investigate, also for soybean varieties. Soybean is one of the world's most valuable oil-seed crops. Generally, proper seedling establishment and germination of soybean seeds are crucial processes in the survival and growth cycle of the crop. Thus, a study was done to investigate the influence of temperature and variety on soybean seed germination at different times after sowing. The experiment was carried out at the Institute of Agronomy, Hungarian University of Agriculture and Life Sciences (MATE), Crop Production Laboratory. Seeds of two soybean varieties were subjected to three different temperatures: 15, 25, and 35 °C, and two soybean varieties, Martina and Johanna were tested. There were four germination times based on the days after sowing: Days 3, 5, 7, and 9. This experiment was set up with a completely randomized block design and four replications. According to the findings of this study, the Martina variety showed a better germination rate as well as higher vigor and viability than the Johanna variety in the first 12 days after sowing. At temperatures of 15 °C and 25 °C, both varieties achieved comparable percentages of viability, but they were more vigorous at 25 °C due to better total seedling length. Thus, the information gained from this study will indirectly determine and confirm the proper temperature for the initial growth of the Martina and Johanna varieties.
Faktor - faktor yang berhubungan dengan kepatuhan minum obat antiretroviral (ARV) pada ODHA di RSUD 45 Kuningan 2023
Authors: Herawati Ita , Iswarawanti Dwi Nastiti , Febriani Esty , Badriah Dewi Laelatul
Published: December 2023

Kepatuhan minum obat merupakan kunci keberhasilan dalam proses pengobatan pada pasien ODHA. Data sampai oktober 2022 di Jawa Barat kumulatif HIV sebanyak 57.914 kasus dan 12.353 kumulatif kasus AIDS, jumlah penderita HIV/AIDS di kabupaten Kuningan dari tahun 2013 hingga 2021 sebanyak 702 orang. Data Poliklinik HIV RSUD 45 Kuningan per Desember 2022 jumlah pasien yang patuh minum obat ARV sebanyak 338 (43,44%). Banyak faktor yang mempengaruhi kekpatuhan minum obat pada ODHA, oleh karena itu penelitian ini bertujuan untuk menganalisis faktor-faktor yang berhubungan dengan kepatuhan minum obat antiretroviral pada ODHA di RSUD 45 Kuningan 2023. Penelitian ini merupakan studi analitik deskriptif dengan desain cross sectional. Subyek sebanyak 265 ODHA yang diambil dengan teknik accidental sampling. Instrumen yang digunakan dalam penelitian ini berupa kuesioner tertutup. Analisis data menggunakan analisis univarit, analisis bivariat (Rank Spearman) dan analisis multivariat (Regresi Logistik).

Hasil penelitian menunjukan terdapat hubungan antara usia (p = 0.000), jenis kelamin (p = 0.014), pengetahuan ((p = 0.000), dukungan keluarga (p = 0.011) dan dukungan petugas kesehatan (p = 0.000) dengan kepatuhan minum obat ARV, namun tidak terdapat hubungan antara efek samping obat ARV (p = 0.341) dan stigma (p = 0.082) dengan kepatuhan minum obat ARV pada ODHA. Variabel dukungan keluarga merupakan variabel paling dominan yang mempengaruhi kepatuhan minum obat ARV pada ODHA.
ANALISIS KEJADIAN ANEMIA TERHADAP STATUS GIZI DAN KAITANNYA DENGAN PRESTASI AKADEMIK PADA MAHASISWA DI UNIVERSITAS ALMUSLIM
Authors: Saleha Siti , Nurhidayati Nurhidayati
Published: December 2023

Anemia dapat dialami oleh individu di setiap kelompok umur, namun anak-anak dan wanita usia subur merupakan kelompok yang paling rentan. Dampak yang ditimbulkan dari anemia tidak hanya pada kesehatan saja, namun juga dapat mempengaruhi pertumbuhan dan perkembangan fisik, serta menghambat perkembangan kognitif pada anak-anak usia sekolah. WHO memperkirakan lebih dari 30% penduduk dunia menderita anemia, dan sebagian besar di antaranya berasal dari negara berkembang. Anemia dapat dialami oleh individu di setiap kelompok umur, namun anak-anak dan wanita usia subur merupakan kelompok yang paling rentan. Anemia menyebabkan penderitanya mengalami kelelahan, letih, dan lesu sehingga akam berdampak pada kreativitas dan produktivitasnya. Selain itu anemia juga meningkatkan kerentanan penyakit pada saat dewasa serta akan melahirkan generasi yang bermasalah terkait hal gizi. Menurut Riskesdas tahun 2018, angka kejadian anemia di Indonesia sebesar 32%, artinya 3-4 dari 10 remaja menderita anemia. Hal tersebut dipengaruhi dipengaruhi dari kebiasaan asupan gizi yang tidak optimal dan kurangnya aktivitas fisik. Untuk itu kesehatan dan status gizi pad remaja harus dipersiapkan sejak dini, sehingga prediksi Indonesia mendapatkan bonus demografi pada tahun 2030 mendatang dapat menghasilkan generasi penerus bangsa yang produktif, kreatif dan berdaya saing. Oleh karena itu tujuan penelitian ini dilakukan untuk memberikan solusi dalam pencegahan dan penanganan anemia pada remaja dan usia. Metode analisis menggunakan pendekatan penelitian ini adalah observasional analitik dengan desain crosssectional. Responden merupakan mahasiswa Fakultas Kesehatan Universitas Almuslim yang dipilih berdasarkan teknik pengambilan sampel secara non-random (consecutive sampling) dengan Jumlah responden dalam penilitian ini sebanyak 50 mahasiswa yang merupakan mahasiswa aktif prodi kebidanan Fakultas Kesehatan. Hasil penelitian: Hasil uji statistik chi-square menunjukkan bahwa nilai p value adalah 0,033, jika nilai p<0,05 berarti bahwa terdapat hubungan bermakna antara status anemia dengan status gizi (IMT) pada mahasiswa fakultas kesehatan, dan terdapat hubungan bermakna antara status anemia dengan indeks prestasi mahasiswa (IPK) pada mahasiswa fakultas kesehatan.
ANALISIS FAKTOR YANG BERHUBUNGAN DENGAN TINGKAT KEPUASAN KINERJA KARYAWAN BADAN LAYANAN UMUM DAERAH PUSKESMAS BUMIAYU KABUPATEN BREBES TAHUN 2023
Authors: Budiarto Ali , Wahyuniar Lely , Mamlukah Mamlukah , Suparman Rossi
Published: December 2023

Angka kepuasan kerja rata-rata dunia hanya 72%. Angka capaian kepuasan kinerja pegawai Puskesmas di Jawa Tengah sebesar 58,1% pada 2021 kemudian meningkat menjadi 61,8% pada 2022. Angka capaian kepuasan kinerja pegawai Puskesmas di Kabupaten Brebes sebesar 53,6% pada 2021 kemudian meningkat menjadi 64,2% pada 2022. Tujuan penelitian ini untuk menganalisis faktor-faktor yang berhubungan dengan tingkat kepuasan kinerja karyawan Badan Layanan Umum Daerah Puskesmas Bumiayu Kabupaten Brebes tahun 2023. Jenis penelitian ini analitik deskriptif dengan desain cross sectional (potong lintang). Populasi penelitian ini berjumlah 68 orang dan pengambilan sampel dengan teknik total sampling sebanyak 68 orang. Instrumen penelitian ini mengunakan lembar kuesioner tertutup. Sumber data penelitian ini adalah data primer dan sekunder. Analisis data meliputi analisis univariat, analisis bivariat (Rank Spearman) dan analisis multivariat menggunakan Regresi Logistik. Hasil menunjukan terdapat hubungan antara interaksi sosial (p = 0,039), disiplin kerja (p = 0,028), gaya kepemimpinan (p = 0,040), lingkungan kerja (p = 0,047), pengembangan karir (p = 0,0028) dan penghasilan (p = 0,000) dengan kepuasan kinerja karyawan. Terdapat hubungan antara enam variabel dengan kepuasan kinerja karyawan meliputi interaksi sosial, disiplin kerja, gaya kepemimpinan, lingkungan kerja, pengembangan karir dan penghasilan. Variabel yang paling dominan berhubungan dengan kepuasan kinerja karyawan yaitu penghasilan dengan OR 5,117. Diharapkan dapat memonitoring dan memberikan evaluasi terhadap kepegawaian dan penilaian kinerja secara rutin sebagai dasar pemberian reward bagi karyawan yang berkinerja baik.