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Biphasic peritoneal mesothelioma in inguinal hernia sac found through laparoscopic herniorrhaphy

Asian journal of surgery 2024年第2期47卷 1007-1008页

作者： Liang-Chen Huang Shih-Hao Liu Chih-Chun Ke Chung-Cheng Wang Department of Urology En Chu Kong Hospital New Taipei City 237 Taiwan Department of Urology National Taiwan University Hospital Taipei 100 Taiwan. Department of Pathology En Chu Kong Hospital New Taipei City 237 Taiwan. PhD Program in Nutrition & Food Science Fu Jen Catholic University New Taipei City 242 Taiwan. Electronic address: koacurtis@***. Department of Biomedical Engineering Chung Yuan Christian University Taoyuan City 320 Taiwan. Electronic address: ericwcc@***.

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Regression Model for Optimum Solar Collectors' Tilt Angles in Libya 8

Regression Model for Optimum Solar Collectors' Tilt Angles i...

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8th International engineering Conference on Renewable Energy and Sustainability, ieCRES 2023

作者： Nassar, Yasser F. Khozondar, Hala J. El- Abouhmod, Nasser M. Abubaker, Ahmed A. Ahmed, Abdussalam A. Alsharif, Abdulgader Khaleel, Mohamed M. Elnaggar, Mohamed El-Khozondar, Rifa J. Wadi Alshatti University Mechancal & Renewable Energy. Eng. Dept. Brack Libya The Islamic University of Gaza Electrical Eng. and Smart Systems Dept. Gaza Palestine Wadi Alshatti University Eng. Faculty Electrical and Electronic Eng. Dept. Brack Libya Bani Waleed University Mechanical Eng. Dept. Bani Waleed Libya Faculty of Engineering Johor Malaysia Karabu University Dept. of Electrical and Electronic Eng. Karabuk Turkey Palestine Technical College - Deir ElBalah Engineering Program Department Deir El-Balah Palestine Al-Aqsa University Faculty of Science Physics Departments Gaza Palestine

ISBN: (纸本)9798350300758

The present study presents a regression function for optimum tilt angle for fixed mode flat-plate solar harvesters suitable for different locations in Libya, sky conditions and albedo values. The research based on 14 years -15 minutes time series solar irradiation components which provided by Solargis database platform for 24 different locations in Libya, based on the contract signed between the Solargis Company and Wadi AlShatti University. Several transposition models are applied - corresponding to each location - for estimating the tilted global solar irradiance components according to recommendation of a local recent study. The proposed model corrects the optimum tilt angle by involving the three components of the solar irradiation: direct beam, sky-diffused and ground reflected solar irradiances. The results proved the applicability and reliability of the obtained regression model. In addition, results showed the high potential of the proposed model for use in engineering design, eco-energetic analysis and optimum design processes. © 2023 IEEE.

关键词： Location

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Million-Q Free Space Meta-Optical Resonator at Visible Wavelengths

arXiv

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arXiv 2024年

作者： Fang, Jie Chen, Rui Sharp, David Renzi, Enrico M. Manna, Arnab Kala, Abhinav Mann, Sander A. Yao, Kan Munley, Christopher Rarick, Hannah Tang, Andrew Pumulo, Sinabu Zheng, Yuebing Menon, Vinod M. Alù, Andrea Majumdar, Arka Department of Electrical and Computer Engineering University of Washington SeattleWA98195 United States Department of Physics University of Washington SeattleWA98195 United States Photonics Initiative Advanced Science Research Center City University of New York New YorkNY10031 United States Physics Program Graduate Center City University of New York New YorkNY10016 United States Walker Department of Mechanical Engineering Texas Materials Institute The University of Texas at Austin AustinTX78712 United States Department of Materials Science and Engineering University of Washington SeattleWA98195 United States Department of Physics City College of New York New YorkNY10031 United States

High-quality (Q)-factor optical resonators with extreme temporal coherence are of both technological and fundamental importance in optical metrology1,2, continuous-wave lasing3-5, and semiconductor quantum optics6-8. Despite extensive efforts in designing high-Q resonators across different spectral regimes, the experimental realization of very large Q-factors at visible wavelengths remains challenging due to the small feature size that is sensitive to fabrication imperfections9-12, and thus is typically implemented in integrated photonics1-4,9,10. In the pursuit of free-space optics with the benefits of large space-bandwidth product and massive parallel operations13,14, here we design and fabricate a visible-wavelength etch-free metasurface with minimized fabrication defects and experimentally demonstrate a million-scale ultrahigh-Q resonance. A new laser-scanning momentum-space-resolved spectroscopy technique with extremely high spectral and angular resolution is developed to characterize the record-high Qfactor as well as the dispersion of the million-Q resonance in free space. By integrating monolayer WSe2 into our ultrahigh-Q meta-resonator, we further demonstrate laser-like highly unidirectional and narrow-linewidth exciton emission, albeit without any operating power density threshold. Under continuous-wave laser pumping, we observe pump-power-dependent linewidth narrowing at room temperature, indicating the potential of our meta-optics platform in controlling coherent quantum light-sources. Our result also holds great promise for applications like optical sensing, spectral filtering, and few-photon nonlinear optics. Copyright © 2024, The Authors. All rights reserved.

关键词： Continuous wave lasers

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Neural Constraints on Cognitive Experience and Mental Health

arXiv

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arXiv 2025年

作者： Shariatpanahi, Bita Nozari, Erfan Daftarian, Soroush Arab, Fahimeh Kheirkhah, Mina Bernhard, Felix P. Khodadadi, Shiva Giltay, Erik J. Hebbrecht, Kaat Hofmann, Stefan G. Hahn, Tim Jamalabadi, Hamidreza Department of Psychiatry and Psychotherapy University of Marburg Germany Department of Mechanical Engineering University of California RiversideCA United States Department of Electrical and Computer Engineering University of California Riverside RiversideCA United States Department of Bioengineering University of California Riverside RiversideCA United States Neuroscience Graduate Program University of California Riverside RiversideCA United States Experimental Therapeutics and Pathophysiology Branch National Institute of Mental Health Bethesda MD United States University of Antwerp Belgium Department of Psychiatry Leiden University Medical Center Netherlands Department of Psychology University of Marburg Germany Institute for Translational Psychiatry University of Münster Germany University of Marburg Germany

Understanding how neural dynamics shape cognitive experiences remains a central challenge in neuroscience and psychiatry. Here, we present a novel framework leveraging state-to-output controllability from dynamical systems theory to model the interplay between cognitive perturbations, neural activity, and subjective experience. We demonstrate that large-scale fMRI signals are constrained to low-dimensional manifolds, where affective and cognitive states are naturally organized. Furthermore, we provide a theoretically robust method to estimate the controllability Gramian from steady-state neural responses, offering a direct measure of the energy required to steer cognitive outcomes. In five healthy participants viewing 2,185 emotionally evocative short videos, our analyses reveal a strong alignment between neural activations and affective ratings, with an average correlation of r ≈ 0.7. In a clinical cohort of 255 patients with major depressive disorder, biweekly Hamilton Rating Scale trajectories over 11 weeks significantly mapped onto these manifolds, explaining approximately 20% more variance than chance (p −10, numerically better than chance in 93% reaching statistical significance in one-third of subjects). Our work bridges dynamical systems theory and clinical neuroscience, providing a principled approach to optimize mental health treatments by targeting the most efficient neural pathways for cognitive change. © 2025, CC BY-NC-SA.

关键词： System theory

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Deep Learning-based Fall Detection Algorithm Using Ensemble Model of Coarse-fine CNN and GRU Networks

Deep Learning-based Fall Detection Algorithm Using Ensemble ...

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IEEE International Workshop on Medical Measurement and Applications (MEMEA)

作者： Chien-Pin Liu Ju-Hsuan Li En-Ping Chu Chia-Yeh Hsieh Kai-Chun Liu Chia-Tai Chan Yu Tsao Department of Biomedical Engineering National Yang Ming Chiao Tung University Taipei City Taiwan Bachelor’s Program in Medical Informatics and Innovative Applications Fu Jen Catholic University New Taipei City Taiwan Research Center for Information Technology Innovation Academia Sinica Taipei City Taiwan

Falls are the public health issue for the elderly all over the world since the fall-induced injuries are associated with a large amount of healthcare cost. Falls can cause serious injuries, even leading to death if the elderly suffers a “long-lie.” Hence, a reliable fall detection (FD) system is required to provide an emergency alarm for first aid. Due to the advances in wearable device technology and artificial intelligence, some fall detection systems have been developed using machine learning and deep learning methods to analyze the signal collected from accelerometer and gyroscopes. In order to achieve better fall detection performance, an ensemble model that combines a coarse-fine convolutional neural network and gated recurrent unit is proposed in this study. The parallel structure design used in this model restores the different grains of spatial characteristics and capture temporal dependencies for feature representation. This study applies the FallAllD public dataset to validate the reliability of the proposed model, which achieves a recall, precision, and F-score of 92.54%, 96.13%, and 94.26%, respectively. The results demonstrate the reliability of the proposed ensemble model in discriminating falls from daily living activities and its superior performance compared to the state-of-the-art convolutional neural network long short-term memory (CNN-LSTM) for FD.

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Extremum Seeking Control for Multivariable Maps under Actuator Saturation

arXiv

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arXiv 2025年

作者： Silva, Enzo Ferreira Tomaz Coutinho, Pedro Henrique Silva Oliveira, Tiago Roux Krstić, Miroslav Graduate Program in Electronics Engineering State University of Rio de Janeiro Brazil Department of Electronics and Telecommunication Engineering State University of Rio de Janeiro Brazil Department of Mechanical and Aerospace Engineering University of California - San Diego United States

This paper deals with the gradient-based extremum seeking control for multivariable maps under actuator saturation. By exploiting a polytopic embedding of the unknown Hessian, we derive a LMI-based synthesis condition to ensure that the origin of the average closed-loop error system is exponentially stable. Then, the convergence of the extremum seeking control system under actuator saturation to the unknown optimal point is proved by employing Lyapunov stability and averaging theories. Numerical simulations illustrate the efficacy of the proposed approach. © 2025, CC BY.

关键词： Lyapunov methods

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Detecting Thermal Crack Growth on a Large Additive Manufactured Structure using Acoustic Emission 16

Detecting Thermal Crack Growth on a Large Additive Manufactu...

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Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XVI 2022

作者： Spencer, Ryan Núñez, Miguel González Saboonchi, Hossain Godinez-Azcuaga, Valery Vaidya, Uday Kunc, Vlastimil Hassen, Ahmed Arabi Department of Mechanical Aerospace and Biomedical Engineering University of Tennessee Estabrook Rd KnoxvilleTN37996 United States Manufacturing Science Division Oak Ridge National Laboratory KnoxvilleTN37932 United States MISTRAS Group Inc. 195 Clarksville Road Princeton Junction NJ08550 United States Otsuka America Pharmaceutical Inc. 508 Carnegie Center Drive PrincetonNJ08540 United States

ISBN: (数字)9781510649705

ISBN: (纸本)9781510649699

Large format additive manufacturing (LFAM) proved to have a great potential to become an adjacent technology to traditional manufacturing methods. One of the sectors LFAM is targeting is rapid tool/mold development for composites. This includes large mold structures used for high-temperature molding techniques (in-oven or autoclave). Although, these large printed structures (reaching hundreds of pounds) develop thermal-residual stress during cool-down and can eventually crack, turning the structure into waste. Acoustic emission (AE), a passive non-intrusive global nondestructive evaluation (NDE) technique, was used to monitor crack growth and can provide the right tools that can be used for feedback loop for corrective action. This research performs thermal testing on a large AM mold with preexisting cracks, in an attempt to monitor crack growth using AE. AE was able to detect, identify and locate the crack source by means of acoustic features, waveform characteristics, spectrum analysis, and difference in arrival times. © 2022 SPIE.

关键词： 3D printers

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Comparative operational carbon footprints of a vehicle in Brazil: Electric, ethanol, and gasoline

Cleaner Energy Systems

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Cleaner Energy Systems 2025年 12卷

作者： João Marcelo Fernandes Gualberto Galiza Silvia Guillén-Lambea Monica Carvalho Graduate Program in Mechanical Engineering Federal University of Paraiba Brazil Aragón Institute for Engineering Research (I3A) University of Zaragoza Spain Department of Renewable Energy Engineering Federal University of Paraiba Brazil

This study quantifies the operational carbon footprint of the Renault Kwid E-Tech (electric vehicle) and Renault Kwid Intense flex (gasoline and ethanol internal combustion engine vehicle) under a Well-to-Wheel approach within the Brazilian context. With a functional unit of 100,000 km, this analysis evaluates greenhouse gas (GHG) emissions associated with fuel consumption and considers different electric mixes across Brazilian regions, along with the periodic maintenance of each vehicle type. The results reveal significant environmental benefits in regions such as the Northeast, where renewable energy sources predominate, reducing the carbon footprint of the electric model, with a carbon footprint of 0.071 kg CO 2 -eq/kWh. By contrast, the higher carbon intensity of the South’s electricity mix reliant on coal, with a carbon footprint of 0.281 kg CO 2 -eq/kWh, presents limitations in achieving emissions reductions with electric vehicles. Ethanol, a renewable biofuel in the Brazilian market, demonstrated a 46 % reduction in GHG emissions compared to gasoline. This study contributes to the sustainable mobility discourse, highlighting the critical role of regional energy sources, fuel choices, and sustainable production practices in emissions outcome. These insights support the development of policies encouraging cleaner energy matrices and biofuel use, contributing to Brazil's emissions reduction goals.

关键词： Life cycle assessment Greenhouse gas emissions Automobiles Electric vehicle

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Image processing-based method for measurement of oil contamination in water

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AIP Conference Proceedings 2023年第1期2976卷

作者： Sonali Powar Pooja Kulkarni Nitin Satpute Siddhrath Jabade Preetam Selmokar Marek Iwaniec Ramesh Narina Swapnil Arawade Faculty of Science and Technology Vishwakarma University Pune India Department of Mechanical Engineering Vishwakarma Institute of Technology Pune India Faculty of Electrical Engineering Automatics Computer Science and Biomedical Engineering Department of Biocybernetics and Biomedical Engineering AGH University of Science and Technology Krakow Poland

In the presented work an innovative method of measurement of oil contamination in water based on image processing is discussed. The proposed approach of oil contamination measurement is inexpensive and does not require physical contact of the sensor with the water to be tested. A Micro-Electro-mechanical-Sensors (MEMS) based camera is used for taking the water surface image to calculate the oil contamination by comparison of oil surface area to that of the total water surface area. Canny edge detection algorithm along with one of the morphological operations, namely closing operation is used for the measurement. Study reveals that the proposed method can detect the oil contamination within 0.5% of the total water surface area.

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Improvement of mechanical properties of AA5052 by using different nanoparticles with constant weight percentage of Al2O3, TiO2 and ZrO2

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AIP Conference Proceedings 2023年第1期2591卷

作者： Baqir A. Ibrahim Abduljabar H. Ali Salem F. Salman 1Department of Mechanical Engineering University of Diyala Iraq 2Biomedical Engineering Department Al-Khwarizmi College of Engineering University of Baghdad Iraq 3Department of Material Engineering University of Diyala Iraq

The present work is to study the effect of adding nanoparticles to aluminum alloy on mechanical properties. The AA5052 was using as based material with constant weight percentage 7%wt. of different nanoparticles such as alumina (Al2O3), titanium dioxide (TiO2) and zirconia (ZrO2) with an average grain diameter 25-35 nm. The stir-casting method has been successfully used to fabricate composite specimens. The results of this study showed that the mechanical properties strength and hardness for the AA5052 reinforced with nanoparticle Al2O3, TiO2 or ZrO2 with 7% weight percentage was improved. The best percentage improvement of mechanical properties of AA5052 was with 7% wt. of ZrO2 about 54% for ultimate tensile stress UTS, 33.8% for yield stress YS and 20.5% for V. hardness than the based material AA5052, well for other adding of titanium dioxide TiO2 and alumina Al2O3 with the same weight percentage 7% the improvement were 35.8% and 13% for ultimate tensile stress UTS, 15.4% and 6.3% for yield stress YS and 10% and 5.8% for V. hardness respectively.

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