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ACS Sustainable Resource Management 2025年第5期2卷 807-814页

作者： Mariana de Brito Ferraz Claudia Zlotea Walter José Botta Guilherme Zepon Federal University of São Carlos Graduate Program in Materials Science and Engineering (PPGCEM/UFSCar) Rodovia Washington Luiz Km 235 São Carlos 13565-905 São Paulo Brazil Institut de Chimie et des Matériaux de Paris-Est CNRS UMR 7182 2-8 Rue Henri Dunant 94320 Thiais France Federal University of São Carlos Graduate Program in Materials Science and Engineering (PPGCEM/UFSCar) Rodovia Washington Luiz Km 235 São Carlos 13565-905 São Paulo Brazil；Federal University of São Carlos Department of Materials Engineering (DEMa/UFSCar) Rodovia Washington Luiz Km 235 São Carlos 13565-905 São Paulo Brazil

Hydrogen storage in metal hydrides has been extensively studied due to their capacity to reversibly absorb hydrogen under relatively low pressures. Multicomponent alloys, especially those of the Ti-V-Nb-Cr system, have garnered significant attention because of the possibility of fine-tuning the hydrogen storage properties by compositional control. However, most of the investigations on multicomponent alloys rely on high-purity elements as feedstock materials, which can have a substantial environmental impact due to the energy-intensive processes required to achieve such purity levels. In this work, we propose an alternative approach by utilizing Ti6Al4V alloy (ASTM F136) scraps from the biomedical industry as feedstock material to produce Ti18Nb23V24Cr33Al2. The alloy was synthesized by using an arc-melting process, combining Ti6Al4V scraps with other pure elements. Structural analysis using X-ray diffraction (XRD) and scanning electron microscopy (SEM) revealed the formation of a microstructure composed predominantly by a body-centered cubic (BCC) solid solution with a small micro segregation providing additional microstructural insights. The Ti18Nb23V24Cr33Al2alloy exhibited a hydrogen storage capacity of 2.75 wt % H2with room temperature reversibility, presenting hydrogen storage properties comparable to those of a (TiVNb)65Cr35alloy produced only from high-purity *** study presents a sustainable approach to producing Ti18Nb23V24Cr33Al2alloy from Ti6Al4V machine chips, achieving efficient hydrogen storage with reduced environmental impact.

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Toward Zero Static Friction at the Microscale

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Physical Review Letters 2024年第23期133卷 236202-236202页

作者： Tengfei Li Deli Peng Yelingyi Wang Guangliang Li Dinglin Yang Kaiwen Tian Wengen Ouyang Michael Urbakh Quanshui Zheng Center for Nano and Micro Mechanics Tsinghua University Beijing China Department of Engineering Mechanics Tsinghua University Beijing China Institute of Superlubricity Technology Research Institute of Tsinghua University in Shenzhen Shenzhen China Department of Engineering Mechanics School of Civil Engineering Wuhan University Wuhan China School of Chemistry and The Sackler Center for Computational Molecular and Materials Science Tel Aviv University Tel Aviv Israel Center of Double Helix Tsinghua Shenzhen International Graduate School Shenzhen China

Static friction, a ubiquitous physical phenomenon, plays a significant role in natural processes and industrial applications. Its influence is particularly notable in the field of controlled micromanipulation and precision manufacturing, where static friction often exceeds kinetic friction and leads to material damage and unpredictable behaviors. In this study, we report the first experimental observation of the elimination of static friction peak in sliding micrometer contacts of layered materials, achieved through a technique involving selective etching of the amorphous edges of single crystalline surfaces. Our findings are consistent with theoretical models and simulations that predicted the absence of static friction between two atomically flat, pristine, weakly interacting, incommensurate solid surfaces. In this state, thermally induced spontaneous actuation in graphite homogeneous junctions was observed at temperatures slightly above room temperature (around 40 °C), with contact sizes up to 100 μm2. These results have significant implications for improving our understanding and control of static friction, opening up promising opportunities for the application of micromechanical devices and precision mechanical systems.

关键词： Friction Surface & interfacial phenomena Tribology 2-dimensional systems Graphene Solid-solid interfaces Atomic force microscopy Etching High-resolution transmission electron microscopy Mechanical testing

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Atomic excitation delocalization at the clean to disordered interface in a chirally-coupled atomic array

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Physical Review Research 2024年第1期6卷 013159-013159页

作者： C.-C. Wu K.-T. Lin I. G. N. Y. Handayana C.-H. Chien S. Goswami G.-D. Lin Y.-C. Chen H. H. Jen Institute of Atomic and Molecular Sciences Academia Sinica Taipei 10617 Taiwan Department of Physics and Center for Quantum Science and Engineering National Taiwan University Taipei 10617 Taiwan Molecular Science and Technology Program Taiwan International Graduate Program Academia Sinica Taipei 115201 Taiwan Department of Physics National Central University Taoyuan City 320317 Taiwan Physics Division National Center for Theoretical Sciences Taipei 10617 Taiwan Trapped-Ion Quantum Computing Laboratory Hon Hai Research Institute Taipei 11492 Taiwan

In one-dimensional quantum emitter systems, the dynamics of atomic excitations are influenced by the collective coupling between emitters through photon-mediated dipole-dipole interactions. By introducing positional disorders in a portion of the atomic array, we investigate the delocalization phenomena at the interface between the disordered and clean zones. The excitation is initialized as symmetric Dicke states in the disordered zone, and several measures are used to quantify the excitation localization. We first use population imbalance and half-chain entropy to investigate the excitation dynamics under time evolutions, and further investigate the crossover of excitation localization to delocalization via the gap ratio from the eigenspectrum in the reciprocal coupling case. In particular, we study the participation ratio of the whole chain and the photon loss ratio between both ends of the atomic chain, which can be used to quantify the delocalization crossover in the nonreciprocal coupling cases. Furthermore, by increasing the overall size or the ratio of the disordered zone under a fixed number of the whole chain, we observe that excitation localization occurs at a smaller disorder strength in the former case, while in the latter, facilitation of the delocalization appears when a significant ratio of the clean zone to disordered zone is applied. Our results can reveal the competition between the clean zone and the disordered zone sizes on localization phenomenon, give insights to nonequilibrium dynamics in the emitter-waveguide interface, and provide potential applications in quantum information processing.

关键词： Localization Collective dynamics Disordered systems

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Experimentation of Integrating Roadmapping and Sci-Fi Prototyping Methods

Experimentation of Integrating Roadmapping and Sci-Fi Protot...

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Portland International Conference on Management of engineering and Technology (PICMET)

作者： Miwa Nishinaka Kunio Shirahada Yusuke Kishita Dohjin Miyamoto Hirotaka Osawa Sachiko Kiyokawa Hideaki Takeda The Graduate School of Management Kagawa University Takamatsu Kagawa Japan School of Knowledge Science Transformative Knowledge Management Research Area Japan Advanced Institute of Science and Technology (JAIST) Nomi Ishikawa Japan Department of Precision Engineering The University of Tokyo Tokyo Japan Communication in Science and Technology Education and Research Program Hokkaido University Sapporo Japan Faculty of Science and Technology Keio University Yokohama Kanagawa Japan Graduate School of Education The University of Tokyo Tokyo Japan National Institute of Informatics Tokyo Japan

ISBN: (数字)9781890843458

ISBN: (纸本)9798350369137

In 2023, we proposed a hypothetical knowledge management framework that incorporates science fiction prototyping (SFP) into the traditional roadmapping (RM) method to make RM more innovative and create a future beyond what we can currently imagine. Our main objective is to create a new organizational knowledge co-creation method for generating innovative ideas by incorporating humanistic factors utilizing SFP into RM. In the current article, we present the exploratory study we conducted to examine the hypothetical framework. Experimental workshops were held in November 2023 to compare the integrated method, in which SFP is applied to RM, with the original RM method. We followed a crossover design in the workshops and analyzed the results qualitatively and quantitatively following the perspectives proposed in the hypothetical framework. The qualitative analysis revealed successful integration regarding diverse and broader perspectives. The quantitative analysis utilizing Wilcoxon signed rank tests showed that the scores of the integrated method were significantly higher than those of RM for variables evaluating the effectiveness of the integration, while not for variables related to participants' feelings and satisfaction with the workshops, and sustainability. These findings indicate that the integration was successful in terms of its effectiveness as a method, while participants' subjective feelings toward the workshops were not different in both methods. As for sustainability, which requires a long-term perspective, no apparent differences were observed in these short-term workshops.

关键词： Statistical analysis Conferences Knowledge management Sustainable development Creativity

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Voice-Based Virtual-Controlled Intelligent Personal Assistants

Voice-Based Virtual-Controlled Intelligent Personal Assistan...

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computational Intelligence, Communication Technology and Networking (CICTN), International Conference on

作者： Satya Prakash Yadav Amit Gupta Caio Dos Santos Nascimento Victor Hugo C. de Albuquerque Mahaveer Singh Naruka Sansar Singh Chauhan Department of Computer Science and Engineering G.L. Bajaj Institute of Technology and Management (GLBITM) GreaterNoida U.P. India Graduate Program in Telecommunications Engineering. (PPGET) Federal Institute of Education Science and Technology of Ceará (IFCE) Fortaleza-CE Brazil Computer Science and Engineering Graphic Era Hill University Dehradun Uttarakhand India Department of Teleinformatics Engineering Federal University of Ceará Fortaleza Fortaleza/CE Brazil Computer Science & Engineering GL Bajaj Institute of Technology & Management Greater Noida India

Virtual assistants are improving and providing consumers with greater advantages. The comprehension and fulfilment of requests by virtual assistants will increase as voice recognition and natural language processing continue to grow. Virtual assistants are projected to be employed in more commercial activities as speech recognition technology advances. The main goal of developing personal assistant software (virtual assistant) is to use web-based semantic data sources, user-generated content, and knowledge from knowledge libraries. Basically, main objective of making this Voice-Based Virtual Assistant is to make life easier and having a personal assistant to everyone which can perform many tasks. As the end user interacts with a virtual assistant, the AI programming learns from the data provided and improves its ability to forecast the end user's needs. Virtual assistants are often used to do things like add tasks to a calendar, provide information that would normally be found in a website, and operate and monitor Smart Home devices like lighting and cameras and thermostats. Massive volumes of data are required to fuel virtual assistant technologies, which feed Artificial Intelligence (AI) platforms such as machine learning, natural language processing, and speech recognition. Speech recognition has a lengthy history and has seen several key advancements. On smartphones and wearable devices, speech recognition for dictation, search, and voice commands has become a standard feature. Design of a small, large vocabulary speech recognition system that can run quickly, accurately, and with minimum latency on mobile devices.

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Quantifying sound transmission of building structures for optimization in early-stage design 50

Quantifying sound transmission of building structures for op...

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50th International Congress and Exposition of Noise Control engineering, INTER-NOISE 2021

作者： Broyles, Jonathan M. Shepherd, Micah R. Brown, Nathan C. Department of Architectural Engineering Pennsylvania State University 104 Engineering Unit A University ParkPA United States Applied Research Laboratory Graduate Program in Acoustics Pennsylvania State University 201 Applied Science Building University ParkPA United States

ISBN: (纸本)9781732598652

Technological advancements in computational building modeling have enabled designers to conduct simulations at the component level. With the evolution of parametric modeling, designers can evaluate multiple design options and identify the best performing solutions before expending resources on physical testing and eventual construction. However, to conduct design space exploration or optimization, an objective function is necessary to evaluate performance. While defined objectives exist for design goals such as sustainability, energy usage, structural performance, and daylighting, there does not yet exist an encompassing objective that can accurately quantify the sound transmission of structures in building design. This paper proposes four transmission rating strategies that can describe air-borne and impact performance of floors, walls, or other acoustic barriers. The approaches consider air-borne and structure-borne sound for four floor constructions, revealing strengths and weaknesses across the methods. Implementation of the approaches in an optimization framework is discussed, along with practical methods for optimizing the objectives in early-stage design. © INTER-NOISE 2021 .All right reserved.

关键词： Floors

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Catharanthus roseus-mediated CuAl2O4 nanocomposites for evaluation of killing kinetics

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Chemosphere 2024年 359卷 142369页

作者： Potbhare, Ajay K. Yerpude, Sachin Daddemal-Chaudhary, Ankita R. Lambat, Ashish Mondal, Aniruddha Dadure, Kanhaiya M. Rai, Alok R. Abdala, Ahmed Chaudhary, Ratiram G. Department of Chemistry S. K. Porwal College of Arts and Science and Commerce Kamptee441001 India Department of Microbiology S. K. Porwal College of Arts and Science and Commerce Kamptee441001 India Lady Amritabai Daga College for Women of Arts Commerce and Science Nagpur440010 India Post Graduate Teaching Department of Botany RTM Nagpur University Nagpur440033 India Department of Biology Sevadal Mahila Mahavidyalaya Nagpur India Division of Materials Science Lulea University of Technology Lulea97187 Sweden Department of Chemistry Bajaj College of Science Wardha India Chemical Engineering Program Texas A&M University at Qatar Doha Qatar

The present article portrayed on the killing kinetic of human pathogenic bacteria using bioinspired mesoporous CuAl2O4 nanocomposites (NCs). The NCs was fabricated using leaf extract of medicinal plant Catharanthus roseus (CR) as a green reducer and stabilizer. As bio-fabricated material was calcined at 800 °C and characterized by several analytical techniques like X-ray Diffraction (XRD), Fourier Transform Infrared Spectroscopy (FT-IR), Ultraviolet–Visible Diffuse Reflectance Spectroscopy (UV-DRS), Energy Dispersive X-Ray Spectroscopy (EDS), X-Ray Photoelectron Spectroscopy (XPS), Raman, Brunauer-Emmett-Teller (BET), Scanning Electron Microscopy (SEM), and Transmission Electron Microscopy (TEM) to authenticate its structure, phase, chemical bonding, chemical state, size and morphology behaviors. XRD and TEM revealed a reduced crystallite and nanoscale sizes of biosynthesized NCs. Moreover, XRD study exposed a cubic-structure of material, while transmission electron microscopy rendered an average particles size in range 10–15 nm. However, BET profile advocates a mesoporous nature of the particles. An effective biological molecular docking modulation assessed by substituting natural inhibitor by bioinspired NCs, while the protein PDB ID 4Z8D FabH as a receptor site for the present investigation. After assessment of molecular docking examination, the antibacterial activity of bioinspired NCs were performed against Staphylococcus aureus, Bacillus subtillis, Klebsiella pneumoniae and Escherichia coli using agar-well method. The broth culture method was employed on different pathogenic strains by kinetic growth assays and colony forming unit. © 2024 Elsevier Ltd

关键词： Nanocomposites

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A deep learning approach to Lung Nodule Growth Prediction using CT image combined with Demographic and image features 23

A deep learning approach to Lung Nodule Growth Prediction us...

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7th International Conference on Medical and Health Informatics, ICMHI 2023

作者： Li, Ai-Hsien Adams Nguyen, Duc-Khanh Lai, Yen-Jun Chien, Ting-Ying Chiu, Yen-Ling Chan, Chien-Lung Yang, Pan-Chyr Division of Cardiology Far Eastern Memorial Hospital Taipei220 Taiwan Graduate Program in Biomedical Informatics Yuan Ze University Taoyuan City Taiwan Department of Information Management Yuan Ze University Taoyuan320 Taiwan Department of Radiology Far Eastern Memorial Hospital Taipei220 Taiwan Department of Computer Science and Engineering Yuan Ze University Taoyuan City Taiwan Innovation Center for Big Data and Digital Convergence Yuan Ze University Taoyuan City Taiwan Graduate Institute of Medicine and Graduate Program in Biomedical Informatics Yuan Ze University Taoyuan Taiwan Department of Medical Research Far Eastern Memorial Hospital Taipei Taiwan Innovation Center for Big Data and Digital Convergence Yuan Ze University Taoyuan320 Taiwan Institute of Biomedical Sciences Academia Sinica Taipei106 Taiwan Department of Internal Medicine College of Medicine National Taiwan University Taipei100 Taiwan Center of Genomic Medicine National Taiwan University Taipei100 Taiwan

ISBN: (纸本)9798400700712

Lung cancer remains a significant global public health concern, being the leading cause of cancer-related deaths worldwide. Despite recent medical advancements, the disease still has a high mortality rate, making early detection and treatment critical for improving patient outcomes. Accurate prediction of nodule growth is key to early lung cancer treatment, but current assessments offer unclear indications of future growth, leading physicians to recommend costly and anxiety-provoking follow-up appointments every 3 to 12 months. To address this need, this study develops an ensemble deep learning approach that combines demographic data with existing CT images to predict whether lung nodules will grow, potentially reducing unnecessary examinations and easing the burden on patients. Our study, conducted on 862 patients with 1004 nodules, produced promising preliminary results with Accuracy, Sensitivity, Precision, F1 Score, and AUC of 0.66, 0.66, 0.67, 0.66, and 0.71, respectively. The proposed method provides a promising support system to empower patients to make informed decisions about seeking medical attention and helps physicians facilitate early treatment regimens, leading to improved patient outcomes and potentially saving lives. © 2023 ACM.

关键词： Forecasting

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IoT–based tire pressure monitoring system for air and temperature pressure using MPX5500D and LM35 sensor

IoT–based tire pressure monitoring system for air and tempe...

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International Conference on Computing, engineering, and Design (ICCED)

作者： Agung Pangestu Iing Sodikin Muhammad Yusro Rum Sapundani Rosyid Ridlo Al Hakim Sinka Wilyanti Electrical Engineering Department Faculty of Engineering and Computer Science Jakarta Global University Depok Indonesia Department of Electronic Engineering Faculty of Engineering State University of Jakarta Jakarta Indonesia Electromedical Engineering Technology Faculty of Health Science University of Muhammadiyah Purwokerto Purwokerto Indonesia Graduate Program in Electrical Engineering Faculty of Engineering and Computer Science Jakarta Global University Depok Indonesia

ISBN: (纸本)9781665453905

Research has been carried out to monitor vehicle tires before they are used and can reduce damage, including overcoming vehicle fuel waste because air pressure is continuously monitored. This research aims to utilize the MPX5500DP sensor as an air pressure device, the LM35 sensor as a temperature reader, and a buzzer based on IoT to build a tire pressure monitoring system (TPMS). The MPX5500DP and LM35 sensor inputs to the Arduino Uno microcontroller are distributed by the NodeMCU, fitted with a Wi-Fi module. The Blynk application sends and displays the data on a smartphone using the IoT-based. Based on this research, data on the percentage of errors in monitoring air pressure and tire temperature on vehicles were obtained by comparing the data to the pressure gauge and thermometer: 1—the results of the average reading of the sensor error value. MPX5500DP air pressure against pressure gauge is 5.3%. 2—the average reading of the LM35 sensor error value on the temperature thermometer is 6.8%. With this research, the air pressure and temperature in the tires can be monitored in real-time via a smartphone using the IoT-based.

关键词： Temperature measurement Temperature distribution Thermometers Microcontrollers Tire pressure Real-time systems Pressure gauges

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Integrated Vocal Deviation Index (IVDI): A Machine Learning Model to Classifier of the General Grade of Vocal Deviation

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Journal of Voice 2024年

作者： Lima-Filho, Luiz Medeiros Araujo Lopes, Leonardo Wanderley Filho, Telmo de Menezes e Silva Department of Statistics Member of the Graduate Program in Decision Models and Health Universidade Federal da Paraíba - UFPB Paraíba João Pessoa Brazil Department of Communication Science Disorders Member of the Graduate Program in Decision Models and Health Universidade Federal da Paraíba - UFPB Paraíba João Pessoa Brazil School of Engineering Mathematics and Technology University of Bristol Bristol United Kingdom

Objective: To develop a multiparametric index based on machine learning (ML) to predict and classify the overall degree of vocal deviation (GG). Method: The sample consisted of 300 dysphonic and non-dysphonic participants of both sexes. Two speech tasks were sustained vowel [a] and connected speech (counting numbers from 1 to 10). Five speech-language pathologists performed the auditory-perceptual judgment (APJ) of the GG and the degrees of roughness (GR), breathiness (GB), instability (GI), and strain (GS). We extracted 47 acoustic measurements from these tasks. The APJ result and the acoustic measurements were used to develop the multiparametric index. We used mean absolute error, root mean square error, and coefficient of determination (R²) to select the best model of ML to predict GG and feature importance to select the best set of variables for the index. After classifying the GG between nondysphonic, mild, moderate, and severe, the final model was validated using accuracy, sensitivity, specificity, predictive values, likelihood ratios, F1-Score, and weighted kappa. Results: The gradient boost model showed the best performance among the ML models. Eight features were selected in the model, including four acoustic measures (jitterLoc, smoothed cepstral peak prominenc, mean harmonic-to-noise ratio (HNRmean), and correlation) and four APJ measures (GR, GB, GS, and GI). The final model correctly classified 93.75% of participants and obtained a weighted kappa index of 0.9374, demonstrating the model's excellent performance. Conclusion: The Integrated Vocal Deviation Index includes four acoustic measures and four auditory-perceptual measures and showed excellent performance in classifying voices according to GG. © 2024 The Voice Foundation

关键词： Machine learning—Acoustic—Voice disorders—Dysphonia—Automatic diagnosis.

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