bluuebunny/crossref_metadata_2025 huggingface dataset:
Prediction of the Transient Local Energy by Energy Finite Element Analysis
Authors: Wang Huaizhi , Yu Kaiping , Zhao Rui
Published: November 2023

Energy finite element analysis (EFEA) has been successfully applied to steady-state response prediction over the past three decades. Compared with other energy-based methods, such as statistical energy analysis (SEA), EFEA can consider more local structural information without increasing the computational consumption too much, which makes it attractive. Inspired by the transient local energy approach (TLEA), a general transient energy balance equation was derived by assuming that the plane wave condition is satisfied. The properties of the energy balance equation were studied, and the analytical solutions with different initial conditions were provided. Utilizing the derived transient energy balance equation, transient EFEA is proposed, which has the same advantages as EFEA. A general formula is presented for the energy transmission coefficients of any number of coupled in-plane beams. The present approach was validated using a single beam and a coupled collinear beam structure under unloading conditions. The coupled collinear beams were also investigated using constant and quasi-static input power. The validation results show that TEFEA can accurately predict the local response of the structure. All of these results were compared with those of finite element analysis (FEA), simplified TEFEA (sTEFEA), transient statistical energy analysis (TSEA), and analytical formulas.
Blow-Up of Solution of Lamé Wave Equation with Fractional Damping and Logarithmic Nonlinearity Source Terms
Authors: Benramdane Amina , Mezouar Nadia , Bensaber Fatna , Boulaaras Salah , Jan Rashid
Published: November 2023

In this work, by the use of a semigroup theory approach, we provide a global solution for an initial boundary value problem of the wave equation with logarithmic nonlinear source terms and fractional boundary dissipation. In addition to this, we establish a blow-up result for the solution under the condition of non-positive initial energy.
Development of an Econometric Model of Crisis and Assessment of the Crisis Risk
Authors: Ivanyuk Vera
Published: November 2023

In this paper, the classification of crisis states and their dynamics is carried out. The asset crisis model is approximated and formalized. Invariant stationary components and the boundaries of crisis fluctuations are determined, which allows for predictions of the course of a crisis. The hypothesis of the phase invariance of crises is statistically confirmed, and four main phases and five marker points in the development of an investment asset crisis are distinguished. A statistical study of the changes in the value of 620 investment assets over 7 years (1,584,720 values) was conducted, including 710 crisis asset states (9940 values), which allowed us to formulate a mathematical model of crisis variability that makes it possible to detect the onset of crisis phases or the passage of marker points via the values of the first- and second-order derivatives of the model. This model has not only evaluative properties, but also predictive properties relative to the risk of a crisis asset, which is also confirmed experimentally. An experiment is conducted to assess the quality of the econometric crisis model, which is based on real historical data. The results of the experiment showed the high quality of the model as a crisis detection tool. A method of early detection of the initial crisis phase is developed, in which it is seen that a statistically unpredictable state causes such a change in the indicator that it violates the valid bound constraints.
Primary Orbital Myxoid Liposarcoma
Authors: Benavides-Huerto Miguel Armando , Páramo-Figueroa Lourdes , Moreno-Páramo Daniel , Lagunas-Rangel Francisco Alejandro
Published: November 2023

Although liposarcoma is the most prevalent soft tissue sarcoma in adults, head and neck liposarcomas are rare and account for less than 5% of all liposarcomas. The primary orbital location is even more exceptional, with fewer than 100 cases documented in the medical literature. Given the scarcity of cases of orbital liposarcoma and the limited familiarity of physicians and pathologists with this pathology, there is an increased risk of non-diagnosis or misdiagnosis, which may lead to inappropriate patient management. To address these challenges, we present a case of primary orbital myxoid liposarcoma and subsequently discuss the primary findings of this case based on the evidence documented in the medical literature. This comprehensive text is designed to serve as a valuable resource for healthcare professionals and pathologists, with the goal of promoting both clinical suspicion and accurate diagnosis and treatment of this rare condition in future cases.
Boutonneuse Fever in Southeastern Romania
Authors: Cambrea Simona Claudia , Badiu Diana , Ionescu Constantin , Penciu Roxana , Pazara Loredana , Mihai Cristina Maria , Cambrea Mara Andreea , Mihai Larisia
Published: November 2023

Boutonneuse fever (BF) is an eruptive disease and is classified as a spotted fever, which is endemic in the Mediterranean basin (i.e., Marseille fever or Mediterranean spotted fever) and the Black Sea, caused by Rickettsia conorii, with dog ticks being a vector (i.e., Rhipicephalus sanguineus). In Romania, although the first reported outbreak of BF occurred during the summer of 1931 in Constanta, the disease was discovered in 1910. Although the disease has occurred most frequently in the two counties of the Dobruja region (Constanta and Tulcea), a region of the Balkan Peninsula, during the last few years, other counties in southeastern Romania have started to report BF cases. In a period of 9 years, 533 cases were registered in Constanta county, while in a period of 11 years, 339 cases were registered in Bucharest county. In this review, we describe the bacterial tick-borne disease caused by R. conorii in southeastern Romania, focusing on its history and epidemiology, pathophysiology, clinical aspects, diagnosis, treatment and preventive measures in the context of climate changes. Although R. conorii is the principal etiologic agent of BF in southeastern Romania, we should take into consideration that other Rickettsia spp. could be present and involved in disease transmission.
Industrial Waste-Derived Carbon Materials as Advanced Electrodes for Supercapacitors
Authors: Bai Ge , Guo Wen , Wang Gang , Dai Bin , Liu Lu , Zhang Lili , Yu Feng
Published: November 2023

Strategically upcycling industrial wastes such as petroleum coke and dye wastewater into value-added materials through scalable and economic processes is an effective way to simultaneously tackle energy and environmental issues. Doping carbon electrodes with heteroatoms proves effective in significantly enhancing electrochemical performance through alterations in electrode wettability and electrical conductivity. This work reports the use of dye wastewater as the sole dopant source to synthesize N and S co-doped petroleum coke-based activated carbon (NS-AC) by the one-step pyrolysis method. More importantly, our wastewater and petroleum coke-derived activated carbon produced on a large scale (20 kg/batch) shows a specific surface area of 2582 m2 g−1 and an energy density of about 95 Wh kg−1 in a soft-packaged full cell with 1 M TEATFB/PC as the electrolyte. The scalable production method, together with the green and sustainable process, can be easily adopted and scaled by industry without the need for complex processes and/or units, which offers a convenient and green route to produce functionalized carbons from wastes at a low cost.
Perovskite Type B-CaTiO3 Coupled with Graphene Oxide as Efficient Bifunctional Composites for Environmental Remediation
Authors: Altin Ilknur
Published: November 2023

To prepare boron doped perovskite CaTiO3 nanocubes coupled with graphene oxide (B-CaTiO3/GO), B-CaTiO3 photocatalyst was initially synthesized by the solvothermal method and subsequently attached on GO by a simple hydrothermal process. The phase structure and optical features of the prepared materials were efficiently characterized by several techniques. The XRD patterns indicated that boron doping could not give rise to lattice disruption of CaTiO3. The results of XPS, HRTEM and Raman measurements revealed that the presence of B-CaTiO3 is anchored on the surface of GO effectively. The morphology of the B-CaTiO3/5GO was nanocube particles. The photocatalytic capacity of B-CaTiO3/GO nanocomposites was determined by investigating the degradation of a model dye, methylene blue (MB). Their degradation performance could be enhanced by altering the ratio between B-CaTiO3 and GO. The most effective GO incorporation is 5 wt%, and at this loading percentage, B-CaTiO3/GO nanocomposite showed improved photocatalytic activity compared with CaTiO3 and B-CaTiO3 photocatalyst, which could be attributed to the synergistic efficacy of the adsorbed MB molecule on the GO followed by their degradation after 180 min of visible light. Additionally, the active species trapping tests confirm the dominant role performed by ·OH and O2·− during the degradation of MB. The presence of HCO3− and Cl− indicated moderate prohibitive effect on the degradation of MB, while NO3− and SO42− negatively affected the catalytic activity in a non-significant way. In brief, the results of this study show that boron doped perovskite-type semiconductor catalysts by combining with graphene has significant efficiency in the removal of MB from aqueous solution, which can be employed as effective photocatalyst materials for the treatment of other organic pollutants.
Comparison of the Effects of Jackfruit Seed Flour and Jackfruit Seed Starch in the Cookie Manufacturing Process
Authors: Van Chi Khang , Nguyen Thi Han , Nguyen Trinh Thi Nhu Hang , Nguyen Phu Thuong Nhan , Tran Thi Tuu , Hoang Quang Binh
Published: November 2023

Jackfruit seed flour (JSF) and jackfruit seed starch (JSS) are utilized from agricultural by-products to take advantage of abundant raw materials. In this study, JSF and JSS were utilized to replace wheat flour in cookie products at various ratios of 10%, 20%, 30%, and 40%, and we assessed their effect cookies on nutritional quality, physicochemical properties, and sensory evaluation of the product. The results showed that JSF and JSS demonstrated significant potential in various cookie recipes. Jackfruit seed flour cookies (JSFCs), in particular, stood out due to their high nutritional content and exceptional physicochemical properties. On the other hand, results from sensory evaluation of jackfruit seed flour cookies (JSSCs) revealed they had a similar taste to wheat flour cookies (CCs) and were highly favored by participants. Notably, JSFCs exhibited a high fiber content of 4.67%, which indicates that JSF could provide numerous health benefits. Furthermore, JSFCs exhibited significantly higher polyphenol content and DPPH radical scavenging activity than JSSCs. The morphological properties of cookies and flours varied considerably among the products. This study supports sustainability by promoting eco-friendly ingredients, reducing the environmental impact compared to wheat flour. It also benefits local economies by repurposing overlooked jackfruit seeds as valuable raw materials, thus minimizing waste.
A City Logistics Distribution Model: A Physical Internet Approach
Authors: Li Jianxun , Fu Haoxin , Lai Kin Keung , Ram Bhagwat
Published: November 2023

The Physical Internet (PI) provides a solution for coping with the continuous rise in urban logistical demands by exploring same-level and cross-level paths. This research suggests a PI-based urban logistical distribution model based on PI distribution that minimizes transportation costs. It also intends to maintain the integrity of the logistical transportation process. This proposed model enhances the flexibility of goods operation and reduces the global cost of logistics’ distribution using an interconnected and open PI logistics distribution mode. This model also explores the functional aspects of the operational problems of city logistical systems and relates to optimization problems. These functionalities are realized by the hierarchical functional structure and are characterized by different cost specifications. The proposed framework provides better integration and cooperation between city logistics warehouses and higher utilization level of logistical infrastructure. The experimental results show that the distribution cost of the PI logistics model is significantly better than that of a traditional logistics model. The elastic and cost advantages grow relatively as the infrastructure for distribution scales up and interruptions from emergencies occur.
Automated Battery Disassembly—Examination of the Product- and Process-Related Challenges for Automotive Traction Batteries
Authors: Klohs Domenic , Offermanns Christian , Heimes Heiner , Kampker Achim
Published: November 2023

As the market share of electric vehicles continues to rise, the number of battery systems that are retired after their service life in the vehicle will also increase. This large growth in battery returns will also have a noticeable impact on processes such as battery disassembly. The purpose of this paper is, therefore, to examine the challenges of the battery disassembly process in relation to the required increase in the degree of automation. For this purpose, a survey of various experts along the battery value chain was conducted, and product-side hurdles, such as the wide range of variants, and process-side challenges, such as the opening of the housing cover or the removal of cables and connectors, were identified. Together with an assessment of the potential degree of automation in the context of downstream processes (reuse, repair, remanufacturing, and recycling), this results in a variety of streams for future research in the field of automated battery disassembly. The core aspect in this context is data availability consisting of product and component data as well as process-relevant parameters.
Accurate Monitoring of 24-h Real-World Movement Behavior in People with Cerebral Palsy Is Possible Using Multiple Wearable Sensors and Deep Learning
Authors: Novosel Ivana Bardino , Ritterband-Rosenbaum Anina , Zampoukis Georgios , Nielsen Jens Bo , Lorentzen Jakob
Published: November 2023

Monitoring and quantifying movement behavior is crucial for improving the health of individuals with cerebral palsy (CP). We have modeled and trained an image-based Convolutional Neural Network (CNN) to recognize specific movement classifiers relevant to individuals with CP. This study evaluates CNN’s performance and determines the feasibility of 24-h recordings. Seven sensors provided accelerometer and gyroscope data from 14 typically developed adults during videotaped physical activity. The performance of the CNN was assessed against test data and human video annotation. For feasibility testing, one typically developed adult and one adult with CP wore sensors for 24 h. The CNN demonstrated exceptional performance against test data, with a mean accuracy of 99.7%. Its general true positives (TP) and true negatives (TN) were 1.00. Against human annotators, performance was high, with mean accuracy at 83.4%, TP 0.84, and TN 0.83. Twenty-four-hour recordings were successful without data loss or adverse events. Participants wore sensors for the full wear time, and the data output were credible. We conclude that monitoring real-world movement behavior in individuals with CP is possible with multiple wearable sensors and CNN. This is of great value for identifying functional decline and informing new interventions, leading to improved outcomes.
Sink Node Placement and Partial Connectivity in Wireless Sensor Networks
Authors: Wang Yun
Published: November 2023

This research delves into the aspects of communication and connectivity problems within random Wireless Sensor Networks (WSNs). It takes into account the distinctive role of the sink node, its placement, and application-specific requirements for effective communication while conserving valuable network resources. Through mathematical modeling, theoretical analysis, and simulation evaluations, we derive, compare, and contrast the probabilities of partial and full connectivity within a random WSN, factoring in network parameters and the maximum allowable hop distance/count hmax. hmax captures the diverse range of delay-sensitive requirements encountered in practical scenarios. Our research underscores the significant impact of the sink node and its placement on network connectivity and the sensor connection rate. The results exemplify a noteworthy decline in the sensor connection rate, dropping from 98.8% to 72.5%, upon relocating the sink node from the network center to the periphery. Moreover, as compared with full connectivity, partial connectivity and the sensor connection rate are more suitable metrics for assessing the communication capability of random WSNs. The results illustrate that 1.367 times more energy is required to connect less than 4% of the remote sensors, based on the examined network settings. Additionally, to increase the sensor connection rate slightly from 96% to 100%, an additional 538% more energy is required in multipath fading based on the widely adopted energy consumption model. This research and its outcomes contribute to establishing appropriate performance metrics and determining critical network parameters for the practical design and implementation of real-world wireless sensor networks.
An Energy-Efficient Multi-Level Sleep Strategy for Periodic Uplink Transmission in Industrial Private 5G Networks
Authors: Kim Taehwa , Lee Seungjin , Choi Hyungwoo , Park Hong-Shik , Choi Junkyun
Published: November 2023

This paper proposes an energy-efficient multi-level sleep mode control for periodic transmission (MSC-PUT) in private fifth-generation (5G) networks. In general, private 5G networks meet IIoT requirements but face rising energy consumption due to dense base station (BS) deployment, particularly impacting operating expenses (OPEX). An approach of BS sleep mode has been studied to reduce energy consumption, but there has been insufficient consideration for the periodic uplink transmission of industrial Internet of Things (IIoT) devices. Additionally, 5G New Reno’s synchronization signal interval limits the effectiveness of the deepest sleep mode in reducing BS energy consumption. By addressing this issue, the aim of this paper is to propose an energy-efficient multi-level sleep mode control for periodic uplink transmission to improve the energy efficiency of BSs. In advance, we develop an energy-efficient model that considers the trade-off between throughput impairment caused by increased latency and energy saving by sleep mode operation for IIoT’s periodic uplink transmission. Then, we propose an approach based on proximal policy optimization (PPO) to determine the deep sleep mode of BSs, considering throughput impairment and energy efficiency. Our simulation results verify the proposed MSC-PUT algorithm’s effectiveness in terms of throughput, energy saving, and energy efficiency. Specifically, we verify that our proposed MSC-PUT enhances energy efficiency by nearly 27.5% when compared to conventional multi-level sleep operation and consumes less energy at 75.21% of the energy consumed by the conventional method while incurring a throughput impairment of nearly 4.2%. Numerical results show that the proposed algorithm can significantly reduce the energy consumption of BSs accounting for periodic uplink transmission of IIoT devices.
Electromyographic Validation of Spontaneous Facial Mimicry Detection Using Automated Facial Action Coding
Authors: Hsu Chun-Ting , Sato Wataru
Published: November 2023

Although electromyography (EMG) remains the standard, researchers have begun using automated facial action coding system (FACS) software to evaluate spontaneous facial mimicry despite the lack of evidence of its validity. Using the facial EMG of the zygomaticus major (ZM) as a standard, we confirmed the detection of spontaneous facial mimicry in action unit 12 (AU12, lip corner puller) via an automated FACS. Participants were alternately presented with real-time model performance and prerecorded videos of dynamic facial expressions, while simultaneous ZM signal and frontal facial videos were acquired. Facial videos were estimated for AU12 using FaceReader, Py-Feat, and OpenFace. The automated FACS is less sensitive and less accurate than facial EMG, but AU12 mimicking responses were significantly correlated with ZM responses. All three software programs detected enhanced facial mimicry by live performances. The AU12 time series showed a roughly 100 to 300 ms latency relative to the ZM. Our results suggested that while the automated FACS could not replace facial EMG in mimicry detection, it could serve a purpose for large effect sizes. Researchers should be cautious with the automated FACS outputs, especially when studying clinical populations. In addition, developers should consider the EMG validation of AU estimation as a benchmark.
From Pulses to Sleep Stages: Towards Optimized Sleep Classification Using Heart-Rate Variability
Authors: Topalidis Pavlos I. , Baron Sebastian , Heib Dominik P. J. , Eigl Esther-Sevil , Hinterberger Alexandra , Schabus Manuel
Published: November 2023

More and more people quantify their sleep using wearables and are becoming obsessed in their pursuit of optimal sleep (“orthosomnia”). However, it is criticized that many of these wearables are giving inaccurate feedback and can even lead to negative daytime consequences. Acknowledging these facts, we here optimize our previously suggested sleep classification procedure in a new sample of 136 self-reported poor sleepers to minimize erroneous classification during ambulatory sleep sensing. Firstly, we introduce an advanced interbeat-interval (IBI) quality control using a random forest method to account for wearable recordings in naturalistic and more noisy settings. We further aim to improve sleep classification by opting for a loss function model instead of the overall epoch-by-epoch accuracy to avoid model biases towards the majority class (i.e., “light sleep”). Using these implementations, we compare the classification performance between the optimized (loss function model) and the accuracy model. We use signals derived from PSG, one-channel ECG, and two consumer wearables: the ECG breast belt Polar® H10 (H10) and the Polar® Verity Sense (VS), an optical Photoplethysmography (PPG) heart-rate sensor. The results reveal a high overall accuracy for the loss function in ECG (86.3 %, κ = 0.79), as well as the H10 (84.4%, κ = 0.76), and VS (84.2%, κ = 0.75) sensors, with improvements in deep sleep and wake. In addition, the new optimized model displays moderate to high correlations and agreement with PSG on primary sleep parameters, while measures of reliability, expressed in intra-class correlations, suggest excellent reliability for most sleep parameters. Finally, it is demonstrated that the new model is still classifying sleep accurately in 4-classes in users taking heart-affecting and/or psychoactive medication, which can be considered a prerequisite in older individuals with or without common disorders. Further improving and validating automatic sleep stage classification algorithms based on signals from affordable wearables may resolve existing scepticism and open the door for such approaches in clinical practice.
Natural Products for the Treatment of Non-Alcoholic Fatty Liver Disease: A Comprehensive Review
Authors: Nucera Saverio , Bulotta Rosa Maria , Ruga Stefano , Caminiti Rosamaria , Serra Maria , Bava Roberto , Castagna Fabio , Lupia Carmine , Marrelli Mariangela , Conforti Filomena , Statti Giancarlo , Mollace Vincenzo , Palma Ernesto
Published: November 2023

Plants are an untapped natural resource; their secondary metabolites take part in a variety of pharmacological activities, making them an essential ingredient in the synthesis of novel medications and the source of reserve resources in this process. Hepatitis and liver cancer are two conditions that can result from non-alcoholic fatty liver disease (NAFLD). NAFLD is a condition that now affects a significant section of the global population. There is a need for preventative action on predisposing factors. Due to their effectiveness and few side effects, herbal medications are frequently utilized for the prevention and treatment of NAFLD. This review discusses the pathogenetic processes of NAFLD and the evidence brought to support the potential of botanical species and their derivatives in limiting the causes that predispose to the onset of NAFLD.
Dark Matter in Fractional Gravity III: Dwarf Galaxies Kinematics
Authors: Benetti Francesco , Lapi Andrea , Gandolfi Giovanni , Butt Minahil Adil , Boumechta Yacer , Haridasu Balakrishna S. , Baccigalupi Carlo
Published: November 2023

Recently, we put forward a framework where the dark matter (DM) component within virialized halos is subject to a non-local interaction originated by fractional gravity (FG) effects. In previous works, we demonstrated that such a framework can substantially alleviate the small-scale issues of the standard ΛCDM paradigm, without altering the DM mass profile predicted by N-body simulations, and retaining its successes on large cosmological scales. In this paper, we investigate further, to probe FG via the high-quality data of individual dwarf galaxies, by exploiting the rotation velocity profiles inferred from stellar and gas kinematic measurements in eight dwarf irregulars, and the projected velocity dispersion profiles inferred from the observed dynamics of stellar tracers in seven dwarf spheroidals and in the ultra-diffuse galaxy DragonFly 44. We find that FG can reproduce extremely well the rotation and dispersion curves of the analyzed galaxies, performing in most instances significantly better than the standard Newtonian setup.
Structural system modeling from base excitation measurements using Swarm Intelligence
Authors: Cerini Corinna
Published: November 2023

The problem of system identification is classified as an inverse problem, and it concerns the derivation of mathematical models from experimental data. Problems of this kind can be addressed using optimization techniques. This paper utilizes a hybrid form of the well-known Particle
Swarm Algorithm (hPSO) to produce a mathematical model representative of the dynamic behaviour of a generic structure subjected to a base excitation, directly from acceleration measurements. The proposed algorithm is specifically tailored for this application; physical properties of the matrices
are assured introducing a 'healing' process. Problem-specific operators from Evolutionary Strategies are used to improve the solution and avoid a local minimum. The final adjustment of the solution is delegated to a local optimization algorithm.
An investigation of magnetic and vibroacoustic coupling in the balanced armature receiver
Authors: Baekke Birgitte
Published: November 2023

The balanced armature receiver is an electromagnetic transducer, used in hearing aids and high-end hearables. Understanding and predicting the coupling between the electromagnetic behaviour and mechanical motion in a comprehensive fashion is fundamental for our research towards a complete
multiphysics description. We present a 3D finite element model (FEM) of the magnetic circuit that captures the effect of fringing and stray fields in the receiver, to accurately predict the force on the armature. We compare this finite element model to lumped parameter models (LEM) representing
the electrical and mechanical domains. The simulation results are matched to laser vibrometer and electrical impedance measurements of the device.
Evaluation of virtual sensing with spherical array surrounding head for directional noise
Authors: Shinobu Naoki
Published: November 2023

Active noise control (ANC) is expected to be applicable to public transportation modalities such as airplanes and trains. In these application systems, passengers may need to avoid wearing devices such as earphones and ear microphones. However, in conventional ANC systems, it is necessary
to locate a physical microphone at the ear positions as an error sensor. To overcome this problem, virtual sensing techniques have been studied for estimating sound pressures at ear positions using remote microphones. In this study, we investigated the performance of a virtual sensing method
for interpolating the sound pressures at ear positions using a spherical microphone array surrounding the head, based on a spherical harmonic expansion. The experiments were conducted using a rigid sphere instead of a head and dodecahedral spherical microphone array surrounding the sphere.
The estimation errors were evaluated for various noise directions at low frequencies (100, 300, 500, and 700 Hz). The experimental results showed that the estimation errors were less than -20 dB for almost all conditions below 500 Hz. By comparison with other virtual sensing methods using
a few microphones in the vicinity of the ear positions, we confirmed that our proposed method was effective for any noise direction.
Modeling and analysis of rotating shaft with bearing faults based on transfer matrix method
Authors: Hong Dongwoo
Published: November 2023

Some mechanical systems, such as drilling machines, hydroelectric/nuclear power plants, and rotating machinery parts, are usually including a rotating part. When operating such systems, bearing faults frequently occur, causing system malfunctions. In order to prevent them, continuous
system diagnosis with early warning should be required. To realize this, the analysis of fault signals should be performed to understand the features of fault states. However, experimental data with faults is limited. Therefore, the analysis should be performed along with appropriate numerical
modeling to compensate for the limitations. Thus, in this research, bearing-shaft modeling with an outer fault is proposed in order to perform signal analyses for the bearing fault states. The overall shaft system is modeled based on the transfer matrix method (TMM), and the bearing is modeled
using the lumped parameter method with outer fault modeling. With the proposed method, it has been shown that it is possible to analyze a situation where a bearing has failed.
A simple transformation for switching between the stochastic responses in different systems
Authors: De Rosa Sergio
Published: November 2023

The progress gained inside the structural and acoustic similitudes makes possible to some extent to change the scales (sizes, materials, topologies, etc.) of many engineering systems. Here, an exact transformation defined by using the Betti theorem, is invoked for the analysis of the
stochastic response of the elastic structures wetted by the wall pressure distribution due to a turbulent boundary layer. This kind of response can be severely challenging for both the numerical approaches and the experimental measurement techniques. The transformation, named VOODOO (a versatile
offset operator for the discrete observation of objects), is here used for predicting the stochastic responses in two different plates. The method allows connecting the degrees of freedom (in a discrete number of points) of two completely different systems through a matrix operator: if the
excitation/response pints are located/evaluated at the points used for building this matrix, the transformation is exact. In the present case, the stochastic pressure loads act on the whole systems and thus the computed responses will be associated to errors: the analysis of these errors is
the actual focus.
Control of chaotic vibrations in lumped mass models of the vocal folds
Authors: Guasch Oriol
Published: November 2023

Lumped mass models have been widely used as low-dimensional systems to better understand the physics underlying human phonation. This is a highly non-linear process in which subglottal flow emanating from the lungs excite self-oscillations of the vocal folds. Consequently, a pulsating
volume velocity is established that produces acoustic waves, which then travel through the vocal tract and are released from the mouth as voice. The self-oscillations of the vocal folds may be affected by many undesirable factors like the presence of polyps, lateral paralyses, excessive subglottal
pressure, etc., and transition from regular to chaotic motion. This gives rise to abnormal phonation. In this work, we explore the theoretical possibility of adding smart materials to vocal fold lumped mass models. The smart material must be such that its damping can be dynamically modified.
By proper tuning, one can establish a feedback control mechanism that restores chaotic vocal fold oscillations to normality. This would constitute the essence of a pacemaker for phonation.
On the radiation of sound from an immersed cylindrical shell close to the sea surface
Authors: Meyer Valentin
Published: November 2023

Numerical methods for the prediction of underwater radiated noise from immersed structures play a key role in the naval and offshore industry to ensure high acoustic performance of systems or to preserve natural habitats. Most of the approaches so far assume that the surrounding fluid
is homogeneous and unbounded. However, in many situations the structure can be close to interfaces, namely the sea surface and the sea bottom, such as navigation of underwater vehicles in shallow waters. The Lloyd's mirror effect describes the interference phenomena occurring when a sound
source is close to the sea surface. This effect is easily accounted for with a source image approach, while the strong vibro-acoustic coupling between the structure and the interface is more complicated to deal with. In this context, an analytical method has recently been developed to predict
the vibro-acoustic behaviour of an infinite length cylindrical shell close to the surface, based on the shell equations and Graf's addition theorem. In the present work, we compare this approach to a simplified one where the strong interactions between the surface and the structure are not
considered. Results highlight these effects on a typical underwater structure
Acoustic Performance of a Metamaterial Coating with Uncertainty in Design Parameters
Authors: Modur Karthik
Published: November 2023

The effect of uncertainty in design parameters on the acoustic performance of a viscoelastic metamaterial coating is investigated. The coating is composed of a layer of hard inclusions embedded in a soft host medium. The layer of inclusions in the soft medium is modelled as a homogenised
layer using effective medium approximation theory. Stochastic models based on the polynomial chaos expansion (PCE) method and Monte Carlo (MC) simulations are developed. The effect of uncertainty in geometric and material parameters are quantified by examining the mean and envelopes of the
absorption coefficient. Uncertainty in geometric and material parameters produce similar levels of variation in the absorption coefficient of the coating, particularly around the peaks of the absorption coefficient spectrum.
Passive and active control of radiated sound from a coated cylindrical shell
Authors: Lin Cikai
Published: November 2023

A voided soft coating can yield a significant reduction in radiated sound from a cylindrical shell over a broad frequency range. New distinct peaks in the structure-borne sound associated with a spring-mass resonance due to the presence of the voided coating and shell circumferential
modes due to the decoupling of the coated shell from the surrounding fluid are observed. This work presents passive and active control strategies to attenuate the sound associated with these peaks using tuned inertial actuators applied to the interior surface of the shell. A feedforward linear-quadratic
regulator algorithm was implemented to drive the active component of the inertial actuators. Our results show that a combined passive-active control system can effectively reduce the radiated sound from a coated shell at targeted frequencies.
Use of DL Model to Capture Noise Variance of EV Motor by Eccentricity
Authors: Kim Hyeri
Published: November 2023

In the era of mass-production of EVs, the expectations of performance and NVH performance required for power electric(PE) motors are gradually increasing. In order to satisfy the noise requirement and to prepare countermeasures, it is necessary not only to verify the nominal design
value, but also to analyse the characteristics due to manufacturing variance. However, it was not easy to thoroughly examine the tilting and eccentricity issues that affect the noise characteristics of the axial type motor due to time and computational costs. To overcome this limitation, a
machine learning model was developed to predict the electromagnetic(EM) excitation force of the motor eccentric condition. The training set of 2D EM FE results were generated with various eccentricity condition and RPMs. Using spatial-temporal frequency analysis and unbalanced magnetic pull
analysis, the tendency of the excitation forces due to eccentricity was analysed. The distribution of electromagnetic force by time was predicted using random forest model. It showed R2 value of 0.999. The prediction model reduces the computational time within 5 minutes from 31 hours and enables
the realistic analysis of tilting and eccentric condition. The 3D EM force distribution as Vibro-Acoustic FE model input could be predicted by putting the eccentricity value into the machine learning model.
Application of the equivalent source method to preserve and reproduce the spatial characteristics of the sound source
Authors: Cho Wan-Ho
Published: November 2023

Many works have been done to make a database of sound sources' radiation patterns, such as musical instruments. However, the conventional approaches were mainly based on the farfield measurement at some selected points on the spherical surface. A huge amount of data was presented in
every spherical coordinate's angular direction. To overcome the problem, a method based on the equivalent source method(ESM) is proposed to record and exchange information on the spatial radiation characteristics from a sound source. By utilizing the principle of acoustical holography, complicated
radiation patterns and strengths of an actual source can be approximately described by expanding the spherical harmonics in various orders. Such a method enables preserving the radiation pattern information of sound sources keeping only details on the position coordinate of equivalent sources
and the coefficient of each order of spherical harmonics, which can be regarded as a standard format. If the proposed approach is used, a more precise and large amount of information can be stored with a smaller size of data than the conventional dataset.
Contribution of Lighthill tensor components to far-field acoustic pressure
Authors: Eftekharian Esmaeel
Published: November 2023

We numerically investigate the contribution of different components of the Lighthill tensor to the far-field acoustic pressure arising from laminar flow noise around a rigid cylinder. Computational fluid dynamics simulations were used to obtain the flow field, from which the time histories
of the velocity components were stored to calculate the Lighthill tensor. The acoustic pressure was then calculated based on the Lighthill source distribution and free-field Green's function. The contribution and characteristics of the different components of the Lighthill tensor to the far-field
pressure are described.
La révélation finale d’après Paul Tillich : une voie théologique pour la rencontre du christianisme avec les religions du monde
Authors: Richard Jean
Published: November 2023

Philosophe de la religion, Tillich a refusé la prétention impérialiste du christianisme qui se pose comme vérité universelle ; théologien, il a défendu cette vérité, «paradoxe absolu». Jean Richard montre comment cette approche dialectique ouvre la voie à un œcuménisme qui dépasse les frontières du christianisme, et en définit les exigences.
Pour une nouvelle doctrine du Dieu Créateur et de la création
Authors: Gabus Jean-Paul
Published: November 2023

Pour Jean-Paul Gabus, l’activité créatrice de Dieu est à comprendre comme l’œuvre de la Trinité tout entière, d’un Dieu qui ne cesse de faire émerger du nouveau dans le cosmos et l’histoire. Un Dieu rédempteur qui ne serait pas un Dieu créateur ne peut être qu’un Dieu manchot, incapable de nous libérer et de nous changer. Le terme «création» désigne non pas la nature, l’environnement, mais le cosmos en tant qu’œuvre divine inachevée, en devenir, ouverte à un à-venir qui présuppose une mort-résurrection, un à-venir fondé sur l’amour fou de Dieu.
Qui roulera la peur ? Finales d’évangile et figures de lecteur (à partir du chapitre 16 de l’évangile de Marc)
Authors: Combet-Galland Corina
Published: November 2023

Un Evangile qui se termine sur la crainte, le silence et la fuite des femmes hors du tombeau ouvert, entraîne-t-il son lecteur dans le même sens que s'il poursuit le récit jusqu’au temps de la parole proclamée partout dans le monde ? Corina Combet-Galland montre que le jeu des finales de Mc est un lieu privilégié pour observer comment un texte implique, par son énonciation.
Vers un dépassement de la crise de l’identité cléricale ?
Authors: Hort Bernard
Published: November 2023

Existe-t-il une voie entre les dangers du cléricalisme, toujours peu ou prou lié à une théologie autoritaire insuffisamment avertie de la liberté de l’homme et de celle de Dieu , et ceux de l’anticléricalisme d’autre part, très souvent porté à rejoindre le rationalisme et le technicisme contemporains, dans l’élan de son refus des médiations ecclésiastiques ? Bernard Hort essaie de répondre à cette question, en remontant pour cela sur le terrain de la théologie fondamentale, puis en formulant quelques propositions.
Effort personnel et intervention d’une transcendance selon le bouddhisme
Authors: Keller Carl-Albert
Published: November 2023

C.-A. Keller confronte deux auto-interprétations du bouddhisme : le theravāda moderne qui insiste sur la production de l’expérience libératrice par l’homme et l’amidisme jōdo-shin-shū qui proclame le message de l’unique activité omniprésente d’une «Force Autre». L’examen de quelques documents du theravâda (expérience du Bouddha ; témoignage des religieux des premiers siècles ; liturgies traditionnelles etc) et du mahāyāna («concile» de Lhasa ; controverses au sein du ch’an/zen) montre que le bouddhisme a toujours admis que l’expérience décisive est le «don» d’une grandeur extra-humaine, accordé à un pratiquant qui a développé sa réceptivité.
Les chrétiens face au bouddhisme
Authors: Massein Pierre
Published: November 2023

L’actualité du bouddhisme est aujourd’hui manifeste. Comment le chrétien va-t-il se situer par rapport à cette voie spirituelle et religieuse qui lui paraît à la fois si attirante et si déconcertante ? Dom Pierre Massein commence par essayer de saisir les aspects fondamentaux du bouddhisme avec une curiosité bienveillante et respectueuse, pour tenter ensuite une comparaison qui dégage tant les points de convergence que les contrastes repérables entre cette voie bouddhique et la voie chrétienne.
Le témoignage de Paul Sabatier (1858-1928)
Authors: Causse Maurice
Published: November 2023

Les recherches de Paul Sabatier ont eu une importance considérable pour les études franciscaines. Maurice CAUSSE qui, dans les prochaines livraisons d'ETR, abordera la carrière et l’œuvre de ce savant, rappelle ici la portée internationale qu’eurent sa personnalité et ses travaux.
Les «Fils des hommes». Christologie et Résolution en Angleterre (vers 1642 -vers 1660)
Authors: Cottret Bernard
Published: November 2023

Reprenant ici les méthodes d’analyse élaborées dans son livre Le Christ des Lumières. Jésus de Newton à Voltaire (Cerf, 1990), Bernard COTTRET se penche rétrospectivement sur les images du Christ en Angleterre un siècle plus tôt. Entre le «Christ évêque» des anglicans et le «christ en nous» des piocheurs, il y a plus qu’un débat doctrinal : une authentique révolution sépare le Fils de l’homme des «fils des hommes». Un plaidoyer pour établir des liens plus étroits encore entre histoire et théologie.
Le parallèle Matthieu 16/16-17 — Galates 1/15-16 réexaminé
Authors: Refoulé François
Published: November 2023

Plusieurs expressions rencontrées à la fois dans un passage de l’Évangile de Matthieu et dans un témoignage de Paul aux Galates ont amené les spécialistes du NT à s’interroger sur les liens qui pourraient exister entre ces deux textes. François REFOULÉ refait la route en compagnie de ces exégètes, discute leurs points de vue et offre, au bout du parcours, ses propres conclusions.
L’homme ou bien Adam ?
Authors: Bourguet Daniel
Published: November 2023

Constatant que, dans le début de la Genèse, le mot hébreu ’adam désigne d’abord l’homme en général et ensuite le nom propre Adam, Daniel Bourguet cherche à partir de quel verset on passe du nom commun au nom propre, ceci afin de repérer quand l’homme reçoit son nom propre, c’est-à-dire quand il devient un être unique. Il interroge la LXX, la Vulgate, puis le texte hébraïque . Les Massorètes ont vocalisé en fonction de la théologie juive traditionnelle, mais le texte consonantique permet de repérer le passage du nom commun au nom propre en 4125, au moment où l’homme invoque Dieu.
Le livre d’Ézéchiel et le Poème d'Erra
Authors: Bodi Daniel
Published: November 2023

Daniel Bodi défend la thèse qui reconnaît une influence babylonienne dans la composition du livre d’Ezéchiel. Il a dressé une liste de douze thèmes et motifs littéraires que l’on retrouve à la fois dans ce livre biblique et dans la composition babylonienne connue sous le nom de Poème d’Erra.
Les paraboles et le langage de changement
Authors: Baumann Maurice
Published: November 2023

Certaines paraboles évangéliques fourmillent d’extravagances. Maurice Baumann propose de comprendre ces aspérités comme des éléments narratifs structurant la tension dramatique des récits, afin de donner à ces derniers la force d’un langage de changement. À ce titre, les paraboles sont des histoires étonnantes et détonantes.
Claritas ante Scripturam natam
Authors: Rose Martin
Published: November 2023

Cette perspective vétérotestamentaire sur la clarté de l’Écriture se situe en amont du texte : elle décrit la naissance de la revendication de l’Écriture à être claire, tout en montrant que cette revendication s’est développée différemment pour chacune des trois parties de la Bible hébraïque. Le parcours de Martin Rose, toutefois, ne se contente pas d’une pure description historique ; il entend également en tirer une contribution au dialogue interdisciplinaire en théologie.
Le lecteur éclairé : la clarté comme clarification
Authors: Bühler Pierre
Published: November 2023

Comment dépasser le clivage actuel entre la conviction d’une clarté parfaite de l’Écriture et l’hypothèse de son obscurité totale ? Relue sous cet angle, L'herméneutique de Luther montre que la clarté n’est jamais sans obscurité et qu’il y a quelque intérêt herméneutique à penser la réalité de ce «clair-obscur». Il en résulte un modèle herméneutique dans lequel la notion statique de clarté est relayée par celle de clarification comme processus sans cesse à refaire, dans lequel tant le texte que le lecteur se trouvent éclairés. Pierre Bühler illustre cette perspective par la «lecture intégrée» d’un texte paradigmatique : la lutte de Jacob au gué du Yabboq.
L’amour, au jeu de la loi et du hasard. La parabole du «bon Samaritain» et le débat qu’elle bouscule (Lc 10/25-37)
Authors: Combet-Galland Corina
Published: November 2023

Une parabole de Jésus vient distraire la volonté inquiète de trouver réponse à la question «Qui est mon prochain ?» Corina Combet-Galland montre que, par un fin jeu de rôles, qui implique à l’excès, la parabole brise la transparence, elle impose aussi distance. Aimer l’autre comme soi-même dispenserait-il de devenir soi-même comme un autre ?