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Understanding age-related middle ear properties and basilar membrane damage in hearing loss: A finite element analysis and retrospective cohort study

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Computers in Biology and Medicine 2025年 184卷 109376-109376页

作者： Shih, Tzu-Ching Yu, You-Cheng Wang, Tang-Chuan Department of Biomedical Imaging and Radiological Science College of Medicine China Medical University Taichung404328 Taiwan The PhD Program for Medical Engineering and Rehabilitation Science College of Biomedical Engineering China Medical University Taichung404328 Taiwan Master Program for Biomedical Engineering College of Biomedical Engineering China Medical University Taichung404328 Taiwan Department of Otolaryngology-Head and Neck Surgery China Medical University Hsinchu Hospital Zhubei City Hsinchu302056 Taiwan

Age-related hearing loss (ARHL) is primarily attributed to inner-ear factors, yet the role of age-related middle ear characteristics remains elusive. Employing a finite element (FE) model, we conducted a comparative analysis with clinical data extracted from a retrospective cohort study involving 90 younger adults (mean age = 38.1 ± 7.7) and 111 older adults (mean age = 63.8 ± 8.4). The clinical dataset encompassed air-bone gap (ABG) measurements obtained through pure-tone audiometry (PTA) at frequencies of 0.5, 1.0, 2.0, and 4.0 kHz. FE results quantified the normalized stapes displacement value of the simulated form of air-bone gap (ABGSim) between the two age groups. The Mann-Whitney U test, with a significance threshold set at P © 2024

关键词： Bone

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Evaluating nitrogen sources for enhanced halophilic bacteria growth, electron transfer, and microbial fuel cell performance

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Chemosphere 2025年 378卷 144397页

作者： Christwardana, Marcelinus Khoirunnisa, K. Asy'ari, Mukhammad Hadiyanto, H. Department of Chemistry Faculty of Science and Mathematics Diponegoro University 50275 Indonesia Master Program of Energy School of Postgraduate Studies Diponegoro University 50241 Indonesia Research Collaboration Center for Electrochemistry BRIN – Diponegoro University 50275 Indonesia Department of Chemical Engineering Faculty of Engineering Diponegoro University 50275 Indonesia

This study investigates the comparative effects of different nitrogen sources—peptone, tryptone, and bovine serum albumin (BSA)—on the growth, electron transport mechanisms, and MFCs performance of halophilic bacteria Bacillus clausii J1G-o%B. The objective is to identify the most effective nitrogen source for optimizing bacterial growth and enhancing MFC efficiency. Comprehensive analysis reveals that tryptone and peptone significantly enhance bacterial growth and stability compared to BSA. Increased concentrations of these nitrogen sources correlate with elevated ammonia production and notable pH changes, indicating heightened metabolic activity. The non-linear relationship between scan rate and current density suggests diffusion-limited redox reactions. Notably, higher tryptone concentrations significantly increase the electron transfer rate constant to 3.66 ± 0.02 s−1 when the concentration increases to 0.1 g/100 mL. Early voltage increases at around the 30th hour to 0.175 V under the T-0.1 condition further support the critical role of tryptone in accelerating bacterial growth and biofilm formation. Cyclic voltammetry experiments demonstrate that nitrogen source type and concentration influence electrical double layer characteristics. These findings underscore the potential of tryptone to optimize Bacillus clausii electrochemical performance, achieving a maximum power density of 36.93 mW/m2 at a current density of 196 mA/m2, paving the way for bioelectrochemical system applications. © 2025 Elsevier Ltd

关键词： Rate constants

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A Runaway Electron Avalanche Surrogate for Partially Ionized Plasmas

arXiv

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arXiv 2025年

作者： Arnaud, Jonathan S. McDevitt, Christopher J. Tang, Xian-Zhu Nuclear Engineering Program Department of Materials Science and Engineering University of Florida GainesvilleFL32611 United States Theoretical Division Los Alamos National Laboratory Los AlamosNM87545 United States

A physics-constrained deep learning surrogate that predicts the exponential "avalanche" growth rate of runaway electrons (REs) for a plasma containing partially ionized impurities is developed. Specifically, a physics-informed neural network (PINN) that learns the adjoint of the relativistic Fokker-Planck equation in steady-state is derived, enabling a rapid surrogate of the RE avalanche for a broad range of plasma parameters, motivating a path towards an ML-accelerated integrated description of a tokamak disruption. A steady-state power balance equation together with atomic physics data is embedded directly into the PINN, thus limiting the PINN to train across physically consistent temperatures and charge state distributions. This restricted training domain enables accurate predictions of the PINN while drastically reducing the computational cost of training the model. In addition, a novel closure for the relativistic electron population used when evaluating the secondary source of REs is developed that enables improved accuracy compared to a Rosenbluth-Putvinski source. The avalanche surrogate is verified against Monte Carlo simulations, where it is shown to accurately predict the RE avalanche growth rate across a broad range of plasma parameters encompassing distinct tokamak disruption scenarios. © 2025, CC BY.

关键词： Fokker Planck equation

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Leveraging ROTI map derived from Indonesian GNSS receiver network for advancing study of Equatorial Plasma Bubble in Southeast/East Asia

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Earth and Planetary Physics 2025年第1期9卷 101-116页

作者： Prayitno Abadi Ihsan N.Muafiry Teguh N.Pratama Angga Y.Putra Suraina Gatot H.Pramono Sidik T.Wibowo Febrylian F.Chabibi Umar A.Ahmad Wildan P.Tresna Asnawi Research Center for Climate and Atmosphere Indonesian National Research and Innovation Agency(BRIN)BandungIndonesia School of Electrical Engineering Telkom UniversityBandungIndonesia Directorate of Laboratory Management Facilities and Science and Technology Park Indonesian National Research and Innovation Agency(BRIN)PontianakIndonesia Geophysics Laboratory Master Program in PhysicsUniversitas Gadjah Mada(UGM)YogyakartaIndonesia Research Center for Space Indonesian National Research and Innovation Agency(BRIN)BandungIndonesia Indonesian Geospatial Information Agency(BIG) JakartaIndonesia Research Center for Photonics Indonesian National Research and Innovation Agency(BRIN)Tangerang SelatanIndonesia Department of Earth and Planetary Sciences Hokkaido UniversitySapporoJapan

This paper highlights the crucial role of Indonesia’s GNSS receiver network in advancing Equatorial Plasma Bubble(EPB)studies in Southeast and East Asia,as ionospheric irregularities within EPB can disrupt GNSS signals and degrade positioning *** by the Indonesian Geospatial Information Agency(BIG),the Indonesia Continuously Operating Reference Station(Ina-CORS)network comprises over 300 GNSS receivers spanning equatorial to southern low-latitude ***-CORS is uniquely situated to monitor EPB generation,zonal drift,and dissipation across Southeast *** provide a practical tool for EPB research,by sharing two-dimensional rate of Total Electron Content(TEC)change index(ROTI)derived from this *** generate ROTI maps with a 10-minute resolution,and samples from May 2024 are publicly available for further scientific *** preliminary findings from the ROTI maps of Ina-CORS are ***,the Ina-CORS ROTI maps reveal that the irregularities within a broader EPB structure persist longer,increasing the potential for these irregularities to migrate farther ***,we demonstrate that combined ROTI maps from Ina-CORS and GNSS receivers in East Asia and Australia can be used to monitor the development of ionospheric irregularities in Southeast and East *** have demonstrated the combined ROTI maps to capture the development of ionospheric irregularities in the Southeast/East Asian sector during the G5 Geomagnetic Storm on May 11,*** observed simultaneous ionospheric irregularities in Japan and Australia,respectively propagating northwestward and southwestward,before midnight,whereas Southeast Asia’s equatorial and low-latitude regions exhibited irregularities *** sharing ROTI maps from Indonesia and integrating them with regional GNSS networks,researchers can conduct comprehensive EPB studies,enhancing the understanding of EPB behavior across Southeast and East Asia and contributing significantly to ionosphe

关键词： Equatorial Plasma Bubble(EPB) GNSS receivers’network Indonesia Continuously Operating Reference Station(Ina-CORS) ionospheric map Rate of TEC change index(ROTI)map

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Effects of Neutron and Gamma Irradiation on Epoxy/Dy Nanocomposite Sheets for Potential Radiation Dosimetry and Optoelectronic Device Applications

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Luminescence 2025年第5期40.0卷 e70195页

作者： Abdullahi, Shittu Ismail, Aznan Fazli Alshahrie, Ahmed Damoom, Mohammed M. Banoqitah, Essam Salah, Numan Nuclear Science Program Department of Applied Physics Faculty of Science and Technology Universiti Kebangsaan Malaysia Selangor Bangi Malaysia Department of Pure and Applied Physics Faculty of Science Gombe State University Gombe Nigeria Nuclear Technology Research Centre Faculty of Science and Technology Universiti Kebangsaan Malaysia Selangor Bangi Malaysia Center of Nanotechnology King Abdulaziz University Jeddah Saudi Arabia Department of Physics King Abdulaziz University Jeddah Saudi Arabia Department of Nuclear Engineering King Abdulaziz University Jeddah Saudi Arabia

Epoxy materials are known for their versatile applications across numerous fields. Investigation of its optical properties, particularly when infused with lanthanides like dysprosium (Dy), and its behaviour under ionising radiation is still underexplored. We synthesised Dy-doped nanocomposites with various Dy³⁺ concentrations, which improved their photoluminescence (PL) and radiation-responsive characteristics. Numerous techniques characterised the synthesised epoxy/Dy nanocomposite. The PL emission increased drastically with increasing Dy concentration, resulting in an almost 19-fold increase. A significant change was observed when the epoxy/Dy nanocomposite sheets were exposed to neutron and gamma radiation with radiation doses ranging from 20 to 200 mGy. Gamma and neutron response tests showed distinctly different behaviour in pure epoxy (a 0.36/mGy increase in PL intensity following gamma exposure) compared to Dy-doped nanocomposites (a 0.23 and 0.18/mGy decrease in PL intensity for gamma and neutron exposure, respectively). Moreover, the nanocomposite sheets showed good PL emission intensity and linear stability for 1 month after irradiation, indicating their potential for long-term applications. Adding Dy³⁺ ions to the epoxy matrix enhances PL emission intensities, and irradiation improves PL emission stability and their nearly excellent linear dose response. Therefore, this study's epoxy/Dy nanocomposite sheets showed potential applications in radiation dosimetry and optoelectronic devices. © 2025 John Wiley & Sons Ltd.

关键词： epoxy sheet epoxy/Dy nanocomposite sheet gamma radiation neutron radiation radiation dosimetry

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Optimizing dispersion of torrefied spent coffee grounds for enhanced biochar-EVA composite properties through sodium percarbonate-assisted treatment

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Journal of Industrial and engineering Chemistry 2025年

作者： Lee, Kuan-Ting Gabriela, Situmorang Chen, Wei-Hsin Rajendran, Saravanan Selvarajoo, Anurita Department of Chemical and Materials Engineering Tunghai University Taichung407 Taiwan International Master Degree Program on Energy Engineering National Cheng Kung University Tainan701 Taiwan Department of Aeronautics and Astronautics National Cheng Kung University Tainan701 Taiwan Research Center for Smart Sustainable Circular Economy Tunghai University Taichung407 Taiwan Department of Mechanical Engineering National Chin-Yi University of Technology Taichung411 Taiwan Instituto de Alta Investigación Universidad de Tarapacá Arica1000000 Chile Department of Civil Engineering Faculty of Science and Engineering University of Nottingham Malaysia

This study aims to optimize biochar by combining 10 % sodium percarbonate with 90 % spent coffee grounds and torrefying at 300 °C for 30 min. Biochar enhances black color dispersion in a composite when blending the optimal biochar and ethylene vinyl acetate. The maximum carbon content of the optimal biochar is 59.97 %, exhibiting similar dispersion, packing density, pore size, and contact angle to carbon black. The optimal biochar's specific surface area and total pore volume are 7.12 m2·g−1 and 0.0018 cm3·g−1, respectively, 2.9 times and 1.2 times that of untreated torrefied spent coffee grounds with SP treated. The mechanical properties of the composite, which is blended with 15 wt% of the optimal biochar to ethylene vinyl acetate through trade-off analysis, indicate a tensile strength and Young's modulus of 1.03 MPa and 9.69 MPa, respectively. As the amount of blended optimal biochar increases, the tensile strength decreases while Young's modulus increases. Compared with a composite blended with the same 15 wt% of carbon black, the tensile strength and Young's modulus are 0.77 MPa and 9.55 MPa, respectively. In conclusion, the optimal biochar is a potential alternative material that could replace carbon black. This finding aligns with the developmental direction of achieving negative carbon emissions, promoting a circular economy and valorizing waste. © 2025 The Korean Society of Industrial and engineering Chemistry

关键词： Tensile strength

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Sustainable strategic policies for biohythane production technology and its dissemination in rural and small island communities using system dynamics

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International Journal of Hydrogen Energy 2025年

作者： Sinsuw, Alicia Amelia Elizabeth Suriandjo, Hendrik Suryo Chu, Chen-Yeon Sompie, Oktovian Berty Sangkertadi, Sangkertadi Tumaliang, Hans Lefrandt, Lucia Ingrid Regina Lai, Ching Ming Fakultas Teknik Universitas Sam Ratulangi Indonesia Fakultas Teknik Universitas Nusantara Indonesia Master's Program of Green Energy Science and Technology Feng Chia University Taiwan Institute of Green Products Feng Chia University Taiwan Electrical Engineering Department National Chung Hsing University Taiwan Institute of Joint Research Center Sam Ratulangi University Indonesia

This study presents a comprehensive strategy for enhancing the sustainability and dissemination of biogas systems in rural and small island communities, with Manado City, Indonesia, as a focal case. The Symbiosis Bioenergy (Symnergy) model, operational since 2018, converts organic waste into renewable energy while addressing socio-economic and environmental challenges. Employing a System Dynamics (SD) approach, the research evaluated three scenarios—Business-As-Usual (BAU), Moderate, and Optimistic—over a decade (2023–2033). Quantitative results show that under the BAU scenario, sustainability remains critically low at 28.61%, categorized as "Less Sustainable." The Moderate scenario significantly improves to 71.62%, classified as "Sufficiently Sustainable," while the Optimistic scenario reaches 78.90%, rated as "Sustainable." These results underline the transformative impact of strategic policies, such as community-based training programs, trust-building initiatives, and government subsidies, which drive a 63.1% increase in sustainability from BAU to Optimistic scenarios. Moreover, these interventions reduce CO₂ emissions, improve waste management, and stimulate economic resilience. This study's novelty lies in integrating socio-economic and environmental factors within a dynamic SD framework, offering actionable and scalable policy recommendations. The findings provide clear evidence of the critical role of community empowerment and strategic interventions in achieving long-term sustainability for biogas systems, filling key gaps in existing literature and setting a benchmark for renewable energy strategies in similar regions globally. © 2025 Hydrogen Energy Publications LLC

关键词： Sustainable city

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Supply Chain Sustainability in Disruption: SC Intelligence, Customer Knowledge Transfer, and the Mediating Role of IS/IT

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IEEE engineering Management Review 2025年

作者： Ratna, Silvia Saide, Saide Rater, Salya Svyazhanovna, Baizakova Saule Herzavina, Herzavina Faculty of Information Technology Department of Informatics Engineering and Department of Information Systems Banjarmasin Indonesia State Islamic University of Sultan Syarif Kasim Riau Universitas Islam Negeri Sultan Syarif Kasim Riau-UIN SUSKA Riau Department of Information Systems Faculty of Science and Technology Indonesia PRO Knowledge Indonesia Pekanbaru Indonesia Universitas Pahlawan Tuanku Tambusai Indonesia Lembaga Enreach UIN Suska Riau Indonesia Politeknik Aceh Selatan Department of Informatics Engineering Aceh Indonesia Information Communication Technologies Robotics in Arkalyk Pedagogical Institute Master of Natural Sciences Educational Program for the Informatics Computer Science Kazakhstan Universitas Pahlawan Tuanku Tambusai Department of Informatics Engineering Indonesia National Taiwan University of Science and Technology Taiwan

Knowledge resource and information system/technology (IS/IT) capability have been considered to improve firm performance, however there is still a gap regarding the sustainability of supply chain to face and recover from disruption (e.g., COVID-19). Questionnaire-based surveys was adopted and received feedback from sixty (160) Indonesian companies or about 28.07% of response rate. © 1973-2011 IEEE.

关键词： customer knowledge transfer disruption information system/technology (IS/IT) responding knowledge management resource-based view (RBV) Supply chain (SC) sustainability supply chain knowledge transfer

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Local and global sensitivity analyses on the overflow probability of Abadia de Goiás radioactive near surface repository

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nuclear engineering and Design 2025年 439卷

作者： Teixeira, D.G. Frutuoso e Melo, P.F. Alvim, L.G.M. Alvim, A.C.M. Alves, A.S.M. Graduate Program of Nuclear Engineering COPPE Federal University of Rio de Janeiro RJ Rio de Janeiro Brazil Department of Computer Science Multidisciplinary Institute Federal Rural University of Rio de Janeiro UFRRJ RJ Nova Iguaçu Brazil Eletronuclear S. A. RJ Rio de Janeiro Brazil

This work presents a sensitivity analysis of the overflow probability of the near- surface radioactive repository built after the Abadia de Goiás accident, where radioactive 137Cs was released. The purpose of the analysis is to help the repository owner and the regulatory body make decisions on design parameters that affect the overflow probability. The following parameters have been considered: degradation function of the repository ceiling, internal porosity of the repository, internal area of the repository base, repository base and wall thicknesses, repository height, height of the liquid column inside the repository, average rainfall rate, evapotranspiration rate, surface runoff and hydraulic conductivity of the repository concrete. The choice for the range of each parameter is discussed. An investigation of the role of the mentioned parameters is detailed based on results obtained in a previous paper, and the dependencies among the rate parameters on the average rainfall rate is emphasized and modeled. To give a deeper perspective, local and global sensitivity analyses have been performed. In the case of global analysis, two approaches have been followed: in the first, the concept of Normalized Mutual Information and the other one leverages Shapley values derived from Light Gradient Boosting Machine and Shapley values have been used for investigating non-linearities. For some parameters the lowest values are to be considered, e.g., the repository base thickness and the average rainfall rate, while for others the highest value is desirable, like the evapotranspiration rate and the surface runoff in order to obtain lower overflow probabilities. These results should be looked with care because nonlinearities have been identified by the Shapley value analysis. Overall, the degradation function and the evapotranspiration rate emerge as the most influential parameters. The legacy of this work lies in the robust methodological framework it provides, paving the way fo

关键词： nuclear reactor accidents

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Speech Abusive Language Detection System Using MFCC Speech Feature Extraction and Convolutional Neural Network

Speech Abusive Language Detection System Using MFCC Speech F...

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Consumer Technology (ICCT-Pacific), International Conference on

作者： Yi-Chang Zhu Ying-Hsiu Hung Yen-Ching Chang Jhen-Kai Tang Wen-Kai Tsai Shin-Chi Lai The Doctoral Degree Program in Smart Industry Technology Research and Development National Formosa University Huwei Taiwan Dept. Electronics Engineering National Yunlin University of Science and Technology Douliu Taiwan Doctoral Degree Program in Smart Industry Technology Research and Development National Formosa University Huwei Taiwan Department of Electrical Engineering Master's Program National Formosa University Huwei Taiwan Dept. Electrical Engineering National Formosa University Huwei Taiwan Dept. Automation Engineering & Smart Machinery and Intelligent Manufacturing Research Center National Formosa University Huwei Taiwan

ISBN: (数字)9798331504120

ISBN: (纸本)9798331504137

As bullying rapidly spreads in schools, many parents are becoming increasingly concerned about their children being subjected to bullying by peers, which could negatively impact their physical and mental health. This paper proposes an abusive language detection system that combines Mel-frequency Cepstrum Coefficients (MFCC) speech features with a Convolutional Neural Network (CNN). Audio files which contain daily abusive phrases in the Minnan dialect are initially preprocesses to eliminate non-speech interference. Subsequently, the MFCC algorithm is applied to extract speech features that closely capture auditory characteristics. The CNN classification model is trained to learn the MFCC features and classify the phrases into their respective categories. Experimental results indicate that the CNN model achieves an average recognition accuracy of 91.9%. Finally, the CNN model was deployed on an embedded platform, where it achieves an average recognition time of 0.54 seconds per phrase and an average recognition accuracy of 86.25%.

关键词： Pediatrics Accuracy Semantics Speech recognition Mental health Speech enhancement Feature extraction Convolutional neural networks Mel frequency cepstral coefficient Optimization

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