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38th International Cosmic Ray Conference, ICRC 2023

作者： Steinhebel, Amanda L. Striebig, Nicolas Jadhav, Manoj Violette, Daniel Durachka, David Boggs, Ryan Seo, Lindsey Hesh, Scott Suda, Yusuke Shin, Taylor K.-W. Metzler, Zachary Kierans, Carolyn Caputo, Regina Tajima, Hiroyasu Fukazawa, Yasushi Leys, Richard Peric, Ivan Metcalfe, Jessica Perkins, Jeremy S. NASA Postdoctoral Program Fellow United States NASA Goddard Space Flight Center GreenbeltMD United States Center for Research and Exploration in Space Science and Technology NASA GSFC GreenbeltMD United States University of Maryland College ParkMD United States Karlsruhe Institute of Technology Karlsruhe Germany Argonne National Laboratory LemontIL United States Physics Program Graduate School of Advanced Science and Engineering Hiroshima University Hiroshima739-8526 Japan Institute for Space-Environment Research Nagoya University Aichi Nagoya Japan NASA Wallops Flight Facility Wallops IslandVA United States University of Califormia Santa Cruz Santa CruzCA United States

Next-generation medium-energy gamma-ray instruments sensitive from 25 keV to 1 GeV must be able to measure and reconstruct incident photons in the photoabsorption, Compton, and pair-production regimes. Such robust functionality requires a tracker with high resolution, low noise, and low power. The monolithic CMOS active pixel silicon sensor AstroPix is a novel mission-enabling technology. AstroPix will provide the energy- and angular-resolution required of a medium-energy gamma-ray telescope while reducing noise with the dual detection-and-readout capabilities of an HVCMOS chip. Plans for A-STEP, a funded Astropix Sounding rocket technology dEmonstration Payload, will be presented. This roughly 2U-sized payload will include three layers of AstroPix quad-chips for cosmic ray and gamma ray detection and tracking. This technology demonstration mission also strengthens the design readiness of AMEGO-X, an MIDEX-sized MeV telescope mission concept. Additional supplementary development and testing of the AstroPix project will also be considered, including A-STEP simulation efforts for environment and detector response modeling. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Cosmology

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Investigating the impact of metal ion variations in terephthalate metal–organic frameworks on the organic solvent nanofiltration performance of mixed matrix membranes

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Journal of Membrane Science 2024年 700卷

作者： Ajebe, Eyasu Gebrie Hu, Chien Chieh Lugito, Graecia Hu, Chun-Po Hung, Wei-Song Lee, Kueir-Rarn Lai, Juin-Yih Graduate Institute of Applied Science and Technology Advanced Membrane Materials Research Center National Taiwan University of Science and Technology Taipei Taiwan Chemical Engineering Study Program Faculty of Industrial Technology Institut Teknologi Bandung West Java Indonesia Nanyang Technological University 1 Cleantech Loop Singapore R&D Center for Membrane Technology Chung Yuan University Chungli Taoyuan Taiwan Department of Chemical Engineering and Materials Science Yuan Ze University Chungli Taoyuan Taiwan

Nano-fillers integrated into mixed matrix membranes (MMMs) present promising alternatives for organic solvent nanofiltration (OSN). In this work, our objective is to enhance OSN performance by incorporating terephthalate metal-organic frameworks (M-BDC, where M = Zr or Cu) into a P84 matrix to fabricate M-BDC/P84 composite MMMs. This work focuses on the influence of metal cluster variation on particle size, pore size distribution, and specific surface area of M-BDC, while systematically investigating the impact of M-BDC addition on OSN performance and underlying separation mechanisms. The synthesized membranes underwent comprehensive characterization using SEM, XRD, ATR-FTIR, contact angle, zeta potential, and thermogravimetric analysis. Significantly, all MMMs exhibited superior permeance and methyl blue (MB) rejection compared to P84 membranes. This enhancement is attributed to the improved interfacial contact between M-BDC and P84, as well as their effective dispersion within the membrane matrix. Interestingly, comparative analysis between Cu-BDC/P84 and Zr-BDC/P84 MMMs revealed the latter's superior permeance, attributed to its larger pore size and surface area. The resulting MMMs demonstrated outstanding MB rejection (>96.7%) with ethanol permeance of 21.5 and 19.0 LMH/Bar for Zr-BDC/P84 and Cu-BDC/P84 MMMs, respectively. Furthermore, the stable performance of M-BDC-based MMMs during prolonged MB/ethanol operation underscores their potential significance in the field of OSN, providing valuable insights for future membrane design and application. © 2024 Elsevier B.V.

关键词： Organometallics

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An Agent-Based Model of Microgrids with Distributed Renewable Energy Sources

An Agent-Based Model of Microgrids with Distributed Renewabl...

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Power, Energy and Electrical engineering (CPEEE), International Conference on

作者： Gyu Yeon Kim Danyao Peng Sangyub Lee Seon Han Choi Graduate Program in Smart Factory Ewha Womans University Seoul South Korea Department of Electronic and Electrical Engineering Ewha Womans University Seoul South Korea Energy IT Convergence Research Center Korea Electronics Technology Institute Seongnam South Korea

ISBN: (数字)9798331520090

ISBN: (纸本)9798331520106

The high penetration of renewable energy sources poses a challenge to stability of power systems, particularly microgrids, which are more vulnerable due to their small capacity and low inertia. To address instability, system components and their interactions need to be represented to more efficiently understand and optimize complex systems. Agent-based modeling enables autonomous operation and collaborative interaction, making the system adaptable to changes efficiently, making it ideal for microgrid management. In this paper, an agent-based microgrid simulation model is proposed. By independently representing microgrid components such as generators, energy storage systems (ESS), loads, environments and controllers, models can dynamically simulate the behavior of power systems, respond to system changes in real time. To validate the proposed model, experiments are conducted based on IEEE 13 bus system, and the results show that with the use of ESS, the frequency peak is reduced from over 62 Hz to around 60 Hz. In the case of sudden demand fluctuations, the frequency remains relatively stable, staying close to 60 Hz. The model demonstrates flexibility and robustness in managing renewable energy fluctuations and sudden load changes.

关键词： Renewable energy sources Adaptation models Fluctuations Microgrids Power system stability Stability analysis Real-time systems Smart grids Thermal stability Load modeling

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An Agent-Based Model of Microgrids with Distributed Renewable Energy Sources 15

An Agent-Based Model of Microgrids with Distributed Renewabl...

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15th International Conference on Power, Energy, and Electrical engineering, CPEEE 2025

作者： Kim, Gyu Yeon Peng, Danyao Lee, Sangyub Choi, Seon Han Ewha Womans University Graduate Program in Smart Factory Seoul Korea Republic of Ewha Womans University Department of Electronic and Electrical Engineering Seoul Korea Republic of Korea Electronics Technology Institute Energy IT Convergence Research Center Seongnam Korea Republic of

ISBN: (纸本)9798331520090

关键词： Distributed Wind

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Is Attention All You Need for EEG to Predict Neurological Outcomes in Cardiac Arrest?

Is Attention All You Need for EEG to Predict Neurological Ou...

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2024 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2024

作者： Dionisio, Jefferson Rizwan, Muhammad Suzuki, Hidetaka Hassan, Kazi Mahmudul Chanpornpakdi, Ingon Lin, Lian-Yu Tanaka, Toshihisa Lin, Che Tokyo University of Agriculture and Technology Tokyo Japan Japanese Red Cross Musashino Hospital Department of Emergency and Critical Care Tokyo Japan National Taiwan University College of Medicine and Hospital Division of Cardiology Department of Internal Medicine Taipei Taiwan Artificial Intelligence of Things Taiwan International Graduate Program Academia Sinica Taipei Taiwan National Taiwan University Department of Electrical Engineering Taipei Taiwan Graduate Institute of Communication Engineering National Taiwan University Taipei Taiwan National Taiwan University Center for Advanced Computing and Imaging in Biomedicine Taipei Taiwan Department of Smart Medicine and Health Informatics National Taiwan University Taipei Taiwan

ISBN: (纸本)9798350351552

Sudden cardiac arrest (SCA) poses a significant health challenge, necessitating accurate predictions of neurological outcomes in comatose patients, where good outcomes are defined as the recovery of most cognitive functions. Electroencephalogram (EEG) serves as a valuable biomarker for monitoring neurological states due to its rich, time-dependent information. This study aims to predict neurological outcomes using early EEG data by employing the Transformer model, which leverages multi-headed attention to identify patterns in lengthy sequences such as hour-long EEG recordings. Unlike traditional methods that use subsampled EEG epochs, we utilize the entire EEG sequences, subdivided into time steps, allowing our model to capture detailed temporal patterns via the attention mechanism. Moreover, we trained our proposed model using each EEG recording as an individual data sample but evaluated our model through aggregated patient-wise predictions. This approach allows us to boost the data sample size. Our results demonstrate promising predictive performance, achieving an AUROC of 0.82 and AUPRC of 0.90 on the holdout test set and an AUROC of 0.73 and AUPRC of 0.93 on an external test set with patient-wise predictions. This study highlights the potential of utilizing attention mechanisms to capture important time series progressions across EEG sequences for improving SCA prognosis. © 2024 IEEE.

关键词： Electroencephalography

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Enhancement of effluent degradation by zinc oxide, carbon nitride, and carbon xerogel trifecta on brass monoliths

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Environmental Science and Pollution Research 2024年第40期31卷 53472-53496页

作者： da Silva, Émerson Felipe Mendonça Garcia, Ramón Raudel Peña Rodrigues, Liana Alvares Napoleão, Daniella Carla Sanz, Oihane Almeida, Luciano Costa Department of Chemical Engineering Technology and Geoscience Center Federal University of Pernambuco PE Recife50740-521 Brazil Pós Graduate Program in Materials Science and Engineering Federal University of Piauí PI Teresina64049-550 Brazil Academic Unit of Cabo de Santo Agostinho Federal Rural University of Pernambuco PE Cabo de Santo Agostinho54518-430 Brazil Dept. of Applied Chemistry Chemistry Faculty University of the Basque Country UPV/EHU P. Lardizabala 3 San Sebastian20018 Spain Escola de Engenharia de Lorena EEL/USP Estrada Municipal Do Campinho S/N São Paulo LorenaCEP 12602-810 Brazil

In recent years, heterogeneous photocatalysis has emerged as a promising alternative for the treatment of organic pollutants. This technique offers several advantages, such as low cost and ease of operation. However, finding a semiconductor material that is both operationally viable and highly active under solar irradiation remains a challenge, often requiring materials of nanometric size. Furthermore, in many processes, photocatalysts are suspended in the solution, requiring additional steps to remove them. This can render the technique economically unviable, especially for nanosized catalysts. This work demonstrated the feasibility of using a structured photocatalyst (ZnO, g-C3N4, and carbon xerogel) optimized for this photodegradation process. The synthesized materials were characterized by nitrogen adsorption and desorption, X-ray diffraction (XRD), and diffuse reflectance spectroscopy (DRS). Adhesion testing demonstrated the efficiency of the deposition technique, with film adhesion exceeding 90%. The photocatalytic evaluation was performed using a mixture of three textile dyes in a recycle photoreactor, varying pH (4.7 and 10), recycle flow rate (2, 4, and 6 L h−1), immobilized mass (1, 2, and 3 mg cm−2), monolith height (1.5, 3.0, and 4.5 cm), and type of radiation (solar and visible artificials;and natural solar). The structured photocatalyst degraded over 99% of the dye mixture under artificial radiation. The solar energy results are highly promising, achieving a degradation efficiency of approximately 74%. Furthermore, it was possible to regenerate the structured photocatalyst up to seven consecutive times using exclusively natural solar light and maintain a degradation rate of around 70%. These results reinforce the feasibility and potential application of this system in photocatalytic reactions, highlighting its effectiveness and sustainability. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Heterojunctions

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Plasma Surface Treatment of Cocr and Nicr Alloys for Dental Applications: A Comparative Study of Tin Thin Film Plasma Deposition Techniques

SSRN

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SSRN 2024年

作者： Balica, Naasson Matheus Pereira Almeida, Larissa Solano Rossino, Luciana Sgarbi Pupim, Denise Monção, Renan Matos Costa, Thércio Henrique de Carvalho Santos, Rafaela Luiz Pereira Sousa, Rômulo Ribeiro Magalhães Nunes, Lívio César Cunha Federal University of Piauí Technology Center Graduate Program in Materials Science and Engineering Avenida Universitária s/n Ininga PI Teresina Brazil Federal University of São Carlos Graduate Program in Materials Science SP Sorocaba Brazil University of São Paulo Ribeirão Preto School of Dentistry Avenida do Café SP Ribeirão Preto Brazil Federal University of Rio Grande do Norte Technology Center Department of Mechanical Engineering University Campus Natal RN Lagoa Nova Brazil

Cobalt-chromium and nickel-chromium metal alloys have been widely used as biomaterials in the dental field due to their excellent physical-mechanical properties and biocompatibility, as well as the low cost of the material. However, in unfavorable environments, such as the oral cavity, these dental prostheses composed of these alloys can suffer alterations in their structure where they can undergo rapid changes with the surface corrosion process, which can vary with pH and temperature, typically related to changes in the patient's diet. The aim of this work is to carry out a comparative study between the cathodic cage (CC) and hollow cathode (HC) methods, in which a plasma deposition treatment of titanium nitride (TiN) thin films was carried out on CoCr and NiCr samples, in order to subsequently evaluate their surface characteristics and tribological properties in relation to each method. The samples were characterized using X-ray diffractometry (XRD), scanning electron microscopy (SEM/EDS) and micro abrasive wear tests on each sample from the three groups of alloys mentioned. It was observed that the TiN films provided greater resistance to the wear mechanism of all the samples, where through the characterizations, it can be inferred that the two types of treatments carried out on the samples are suitable for dental applications. © 2024, The Authors. All rights reserved.

关键词： Chromium alloys

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Accurate and precise quantum computation of valence two-neutron systems

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Physical Review C 2024年第6期109卷 064305-064305页

作者： Sota Yoshida (吉田聡太) Takeshi Sato (佐藤健) Takumi Ogata (緒方拓巳) Tomoya Naito (内藤智也) Masaaki Kimura (木村真明) Institute for Promotion of Higher Academic Education School of Data Science and Management for Accelerator-based Science RIKEN Wako 351-0198 Japan Graduate School of Engineering Photon Science Center School of Engineering Research Institute for Photon Science and Laser Technology RIKEN Interdisciplinary Theoretical and Mathematical Sciences Program (iTHEMS) RIKEN 2-1 Hirosawa Wako 351-0198 Japan Department of Physics Graduate School of Science

Developing methods to solve nuclear many-body problems with quantum computers is an imperative pursuit within the nuclear physics community. Here, we introduce a quantum algorithm to accurately and precisely compute the ground state of valence two-neutron systems leveraging presently available noisy intermediate-scale quantum devices. Our focus lies on the nuclei having a doubly magic core plus two valence neutrons in the p, sd, and pf shells, i.e., He6, O18, and Ca42, respectively. Our ansatz, quantum circuit, is constructed in the pair-wise form, taking into account the symmetries of the system in an explicit manner, and enables us to reduce the number of qubits and the number of CNOT gates required. The results on a real quantum hardware by IBM Quantum Platform show that the proposed method gives very accurate results of the ground-state energies, which are typically within 0.1% error in the energy for He6 and O18 and at most 1% error for Ca42. Furthermore, our experiments using real quantum devices also show the pivotal role of the circuit layout design, attuned to the connectivity of the qubits, in mitigating errors.

关键词： Nuclear many-body theory Quantum simulation Shell model

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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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Multimodal Sentiment Analysis using Kernel Based Support Vector Machine

Multimodal Sentiment Analysis using Kernel Based Support Vec...

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Advanced Technologies in Intelligent Control, Environment, Computing & Communication engineering (ICATIECE), International Conference on

作者： V Sunil Kumar Piyush Kumar Pareek Victor Hugo Costa De Albuquerque Ashish Khanna Deepak Gupta Madhumala R B Department Artificial Intelligence & Machine Learning Nitte Meenakshi Institute of Technology Bengaluru Graduate Program in Telecommunication Engineering Federal Institute of Education Science and Technology of Ceará Fortaleza Brazil Department of Teleinformatics Engineering Federal University of Ceará Brazil CSE Dept Maharaja Agrasen Institute of Technology GGSIPU Department of ISE Dayananda Sagar Academy of Technology and Management Bangalore

ISBN: (纸本)9781665493970

There has been a steady expansion in the number of social websites, electronic media outlets, and blogging services, all of which contribute a large number of user messages such as comments, reviews, and opinions from customers. The quantity of these signals, which are used to evaluate the quality of a wide variety of goods and services, is rather substantial. As a result, it is challenging to monitor and identify the feelings of customers. As a result, a method known as Sentiment Analysis (SA), also known as Opinion Mining (OM), was developed. This method gathers data from the internet by using Natural Language Processing (NLP) strategies and then analyses people's thoughts. It does this by extracting subjective information from the words, assessing opinions, and quantifying positive and negative evaluations. The end result is a conclusion about the specific entity, which may be an organisation, the public, or a product. The NLP first gathers the views, and then those opinions are sorted into positive, neutral, and negative categories. Both the marketing promotion and the customer's ability to choose the most appropriate product for their needs may be improved by doing an analysis. The purpose of this study is to evaluate the use of different machine learning and swarm intelligence optimization methods to perform sentiment analysis on data derived from movie reviews. This study helps many businesses increase their profits while simultaneously lowering the number of problems caused by a certain product. Within the scope of this investigation, three distinct models of sentiment analysis were investigated. An effective method for doing sentiment analysis known as a Hybrid Kernel based Support Vector Machine (HKSVM) has been presented. The preprocessing that is described here is meant to cut down on the data inconsistencies and get rid of the data that isn't needed. After that, the Expectation Maximization (EM) technique is used in order to identify an outlier. After t

关键词： Support vector machines Sentiment analysis Analytical models Sensitivity Veins Tagging Probabilistic logic

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