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Application and Challenges of the Technology Acceptance Model in Elderly Healthcare: Insights from ChatGPT 技术接受模型在老年医疗保健中的应用与挑战:来自 ChatGPT 的启示
Pub Date : 2024-05-13 DOI: 10.3390/technologies12050068
Sang Dol Kim
The Technology Acceptance Model (TAM) plays a pivotal role in elderly healthcare, serving as a theoretical framework. This study aimed to identify TAM’s core components, practical applications, challenges arising from its applications, and propose countermeasures in elderly healthcare. This descriptive study was conducted by utilizing OpenAI’s ChatGPT, with an access date of 10 January 2024. The three open-ended questions administered to ChatGPT and its responses were collected and qualitatively evaluated for reliability through previous studies. The core components of TAMs were identified as perceived usefulness, perceived ease of use, attitude toward use, behavioral intention to use, subjective norms, image, and facilitating conditions. TAM’s application areas span various technologies in elderly healthcare, such as telehealth, wearable devices, mobile health apps, and more. Challenges arising from TAM applications include technological literacy barriers, digital divide concerns, privacy and security apprehensions, resistance to change, limited awareness and information, health conditions and cognitive impairment, trust and reliability concerns, a lack of tailored interventions, overcoming age stereotypes, and integration with traditional healthcare. In conclusion, customized interventions are crucial for successful tech acceptance among the elderly population. The findings of this study are expected to enhance understanding of elderly healthcare and technology adoption, with insights gained through natural language processing models like ChatGPT anticipated to provide a fresh perspective.
技术接受模型(TAM)作为一种理论框架,在老年医疗保健领域发挥着举足轻重的作用。本研究旨在确定 TAM 的核心要素、实际应用、应用中出现的挑战,并提出老年医疗保健领域的对策建议。本描述性研究利用 OpenAI 的 ChatGPT 进行,访问日期为 2024 年 1 月 10 日。我们收集了 ChatGPT 中的三个开放式问题及其回答,并通过以往的研究对其可靠性进行了定性评估。TAM 的核心要素包括感知有用性、感知易用性、使用态度、使用行为意向、主观规范、形象和便利条件。TAM 的应用领域涵盖老年医疗保健领域的各种技术,如远程医疗、可穿戴设备、移动医疗应用程序等。TAM 应用所面临的挑战包括技术扫盲障碍、数字鸿沟问题、隐私和安全担忧、变革阻力、有限的意识和信息、健康状况和认知障碍、信任和可靠性问题、缺乏量身定制的干预措施、克服年龄刻板印象以及与传统医疗保健的整合。总之,量身定制的干预措施是老年人成功接受科技的关键。通过 ChatGPT 等自然语言处理模型获得的洞察力有望提供全新的视角,从而加深对老年人医疗保健和技术应用的理解。
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引用次数: 0
Study of an LLC Converter for Thermoelectric Waste Heat Recovery Integration in Shipboard Microgrids 船载微电网中热电余热回收集成的 LLC 转换器研究
Pub Date : 2024-05-11 DOI: 10.3390/technologies12050067
Nick Rigogiannis, I. Roussos, Christos Pechlivanis, Ioannis Bogatsis, A. Kyritsis, Nick Papanikolaou, Michael Loupis
Static waste heat recovery, by means of thermoelectric generator (TEG) modules, constitutes a fast-growing energy harvesting technology on the way towards greener transportation. Many commercial solutions are already available for small internal combustion engine (ICE) vehicles, whereas further development and cost reductions of TEG devices expand their applicability at higher-power transportation means (i.e., ships and aircrafts). In this light, the integration of waste heat recovery based on TEG modules in a shipboard distribution network is studied in this work. Several voltage step-up techniques are considered, whereas the most suitable ones are assessed via the LTspice simulation platform. The design procedure of the selected LLC resonant converter is presented and analyzed in detail. Furthermore, a flexible control strategy is proposed, capable of either output voltage regulation (constant voltage) or maximum power point tracking (MPPT), according to the application demands. Finally, both simulations and experiments (on a suitable laboratory testbench) are performed. The obtained measurements indicate the high efficiency that can be achieved with the LLC converter for a wide operating area as well as the functionality and adequate performance of the control scheme in both operating conditions.
通过热电发电机(TEG)模块进行静态废热回收,是实现绿色交通的一项快速发展的能量收集技术。许多商业解决方案已可用于小型内燃机(ICE)汽车,而 TEG 设备的进一步发展和成本降低则扩大了其在更大功率交通工具(如船舶和飞机)上的适用性。有鉴于此,本研究将基于 TEG 模块的废热回收集成到船上配电网络中。研究考虑了多种升压技术,并通过 LTspice 仿真平台对最合适的技术进行了评估。本文详细介绍并分析了所选 LLC 谐振转换器的设计程序。此外,还提出了一种灵活的控制策略,能够根据应用需求进行输出电压调节(恒压)或最大功率点跟踪(MPPT)。最后,还进行了模拟和实验(在合适的实验室测试平台上)。所获得的测量结果表明,LLC 转换器可在较宽的工作区域内实现较高的效率,而且控制方案在两种工作条件下都具有功能性和适当的性能。
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引用次数: 0
Converging Artificial Intelligence and Quantum Technologies: Accelerated Growth Effects in Technological Evolution 人工智能与量子技术的融合:技术演进中的加速增长效应
Pub Date : 2024-05-10 DOI: 10.3390/technologies12050066
Mario Coccia
One of the fundamental problems in the field of technological studies is to clarify the drivers and dynamics of technological evolution for sustaining industrial and economic change. This study confronts the problem by analyzing the converging technologies to explain effects on the evolutionary dynamics over time. This paper focuses on technological interaction between artificial intelligence and quantum technologies using a technometric model of technological evolution based on scientific and technological information (publications and patents). Findings show that quantum technology has a growth rate of 1.07, artificial intelligence technology has a rate of growth of 1.37, whereas the technological interaction of converging quantum and artificial intelligence technologies has an accelerated rate of growth of 1.58, higher than trends of these technologies taken individually. These findings suggest that technological interaction is one of the fundamental determinants in the rapid evolution of path-breaking technologies and disruptive innovations. The deductive implications of results about the effects of converging technologies are: (a) accelerated evolutionary growth; (b) a disproportionate (allometric) growth of patents driven by publications supporting a fast technological evolution. Our results support policy and managerial implications for the decision making of policymakers, technology analysts, and R&D managers that can direct R&D investments towards fruitful inter-relationships between radical technologies to foster scientific and technological change with positive societal and economic impcats.
技术研究领域的基本问题之一是阐明技术演变的驱动力和动力,以维持工业和经济变革。本研究正视了这一问题,通过分析趋同技术来解释对随时间演变的动力的影响。本文利用基于科技信息(出版物和专利)的技术演进计量模型,重点研究人工智能和量子技术之间的技术互动。研究结果表明,量子技术的增长率为 1.07,人工智能技术的增长率为 1.37,而量子技术和人工智能技术融合后的技术互动的加速增长率为 1.58,高于这些技术单独的发展趋势。这些发现表明,技术互动是突破性技术和颠覆性创新快速发展的基本决定因素之一。关于融合技术影响的结果的演绎意义是(a) 加速进化增长;(b) 支持快速技术进化的出版物推动专利的不成比例(异速)增长。我们的研究结果为政策制定者、技术分析师和研发管理人员的决策提供了政策和管理方面的启示,他们可以将研发投资引向激进技术之间富有成效的相互关系,从而促进科技变革,对社会和经济产生积极影响。
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引用次数: 0
Fluorine-Free Single-Component Polyelectrolyte of Poly(ethylene glycol) Bearing Lithium Methanesulfonylsulfonimide Terminal Groups: Effect of Structural Variance on Ionic Conductivity 含甲基磺酰亚胺锂端基的聚乙二醇无氟单组分聚电解质:结构差异对离子电导率的影响
Pub Date : 2024-05-09 DOI: 10.3390/technologies12050065
Bungo Ochiai, Koki Hirabayashi, Yudai Fujii, Yoshimasa Matsumura
Fluorine-free single-component polyelectrolytes were developed via the hybridization of lithium methanesulfonylsulfonimide (LiMSSI) moieties to poly(ethylene glycol) (PEG) derivatives with different morphologies, and the relationship between the structure and its ionic conductivity was investigated. The PEG-LiMSSI derivatives with one, two, and three LiMSSI end groups were prepared via the concomitant Michael-type addition and lithiation of PEGs and N-methanesulfonylvinylsulfonimide. The ionic conductivity at 60 °C ranged from 1.8 × 10−7 to 2.0 × 10−4 S/cm. PEG-LiMSSI derivatives with one LiMSSI terminus and with two LiMSSI termini at both ends show higher ionic conductivity, that is as good as fluorine-free single-component polyelectrolytes, than that with two LiMSSI termini at one end and that with three LiMSSI termini.
通过将甲磺酰亚胺锂(LiMSSI)分子与具有不同形态的聚乙二醇(PEG)衍生物杂化,开发出了无氟单组分聚电解质,并研究了其结构与离子电导率之间的关系。通过 PEG 和 N-甲磺酰乙烯基磺酰亚胺的迈克尔型加成和石碳酸化反应,制备了具有一个、两个和三个 LiMSSI 端基的 PEG-LiMSSI 衍生物。60 °C 时的离子电导率为 1.8 × 10-7 至 2.0 × 10-4 S/cm。具有一个 LiMSSI 端部和两端具有两个 LiMSSI 端部的 PEG-LiMSSI 衍生物比一端具有两个 LiMSSI 端部和具有三个 LiMSSI 端部的 PEG-LiMSSI 衍生物具有更高的离子电导率,与无氟单组分聚电解质的离子电导率相当。
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引用次数: 0
Atomic Quantum Technologies for Quantum Matter and Fundamental Physics Applications 用于量子物质和基础物理学应用的原子量子技术
Pub Date : 2024-05-07 DOI: 10.3390/technologies12050064
Jorge Yago Malo, Luca Lepori, Laura Gentini, M. Chiofalo
Physics is living an era of unprecedented cross-fertilization among the different areas of science. In this perspective review, we discuss the manifold impact that state-of-the-art cold and ultracold-atomic platforms can have in fundamental and applied science through the development of platforms for quantum simulation, computation, metrology and sensing. We illustrate how the engineering of table-top experiments with atom technologies is engendering applications to understand problems in condensed matter and fundamental physics, cosmology and astrophysics, unveil foundational aspects of quantum mechanics, and advance quantum chemistry and the emerging field of quantum biology. In this journey, we take the perspective of two main approaches, i.e., creating quantum analogues and building quantum simulators, highlighting that independently of the ultimate goal of a universal quantum computer to be met, the remarkable transformative effects of these achievements remain unchanged. We wish to convey three main messages. First, this atom-based quantum technology enterprise is signing a new era in the way quantum technologies are used for fundamental science, even beyond the advancement of knowledge, which is characterised by truly cross-disciplinary research, extended interplay between theoretical and experimental thinking, and intersectoral approach. Second, quantum many-body physics is unavoidably taking center stage in frontier’s science. Third, quantum science and technology progress will have capillary impact on society, meaning this effect is not confined to isolated or highly specialized areas of knowledge, but is expected to reach and have a pervasive influence on a broad range of society aspects: while this happens, the adoption of a responsible research and innovation approach to quantum technologies is mandatory, to accompany citizens in building awareness and future scaffolding. Following on all the above reflections, this perspective review is thus aimed at scientists active or interested in interdisciplinary research, providing the reader with an overview of the current status of these wide fields of research where cold and ultracold-atomic platforms play a vital role in their description and simulation.
物理学正处于一个不同科学领域之间前所未有的交叉融合时代。在这篇视角综述中,我们讨论了最先进的冷原子和超冷原子平台通过开发量子模拟、计算、计量和传感平台对基础科学和应用科学产生的多方面影响。我们阐述了利用原子技术进行桌面实验的工程设计如何产生应用,以了解凝聚态物质和基础物理学、宇宙学和天体物理学中的问题,揭示量子力学的基本方面,并推动量子化学和新兴的量子生物学领域的发展。在这一历程中,我们从创建量子模拟器和构建量子模拟器这两种主要方法的角度出发,强调无论通用量子计算机的最终目标能否实现,这些成就所带来的显著变革性影响都不会改变。我们希望传达三个主要信息。首先,这项以原子为基础的量子技术事业标志着量子技术用于基础科学的方式进入了一个新时代,甚至超越了知识的进步,其特点是真正的跨学科研究、理论与实验思维之间的扩展性相互作用以及跨部门方法。第二,量子多体物理不可避免地成为前沿科学的中心。第三,量子科技进步将对社会产生 "毛细血管 "式的影响,这意味着这种影响不会局限于孤立的或高度专业化的知识领域,而是有望触及并影响到社会的方方面面:在这种情况下,必须对量子技术采取负责任的研究和创新方法,陪伴公民建立认知和未来支架。基于上述思考,本视角综述面向活跃在跨学科研究领域或对其感兴趣的科学家,为读者概述这些广泛研究领域的现状,其中冷原子和超冷原子平台在其描述和模拟中发挥着至关重要的作用。
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引用次数: 0
Hunting Search Algorithm-Based Adaptive Fuzzy Tracking Controller for an Aero-Pendulum 基于狩猎搜索算法的气动摆自适应模糊跟踪控制器
Pub Date : 2024-05-04 DOI: 10.3390/technologies12050063
Ricardo Rojas-Galván, José R. García-Martínez, Edson E. Cruz-Miguel, O. A. Barra-Vázquez, Luis F. Olmedo-García, J. Rodríguez-Reséndíz
The aero-pendulum is a non-linear system used broadly to develop and test new controller strategies. This paper presents a new methodology for an adaptive PID fuzzy-based tracking controller using a Hunting Search (HuS) algorithm. The HuS algorithm computes the parameters of the membership functions of the fuzzification stage. As a novelty, the algorithm guarantees the overlap of the membership functions to ensure that all the functions are interconnected, generating new hunters to search for better solutions in the overlapping area. For the defuzzification stage, the HuS algorithm sets the singletons in optimal positions to evaluate the controller response using the centroid method. To probe the robustness of the methodology, the PID fuzzy controller algorithm is implemented in an embedded system to track the angular position of an aero-pendulum test bench. The results show that the adaptive PID fuzzy controller proposed presents root mean square error values of 0.42, 0.40, and 0.49 for 80, 90, and 100 degrees, respectively.
气动摆是一种非线性系统,广泛用于开发和测试新的控制器策略。本文提出了一种使用狩猎搜索(HuS)算法的基于自适应 PID 模糊跟踪控制器的新方法。HuS 算法计算模糊化阶段的成员函数参数。作为一项创新,该算法保证了成员函数的重叠,以确保所有函数相互关联,从而产生新的 "猎手",在重叠区域寻找更好的解决方案。在去模糊化阶段,HuS 算法将单子设置在最佳位置,使用中心法评估控制器响应。为探究该方法的鲁棒性,在嵌入式系统中实施了 PID 模糊控制器算法,以跟踪航空摆锤试验台的角度位置。结果表明,所提出的自适应 PID 模糊控制器在 80、90 和 100 度时的均方根误差值分别为 0.42、0.40 和 0.49。
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引用次数: 0
Inference Analysis of Video Quality of Experience in Relation with Face Emotion, Video Advertisement, and ITU-T P.1203 视频体验质量与面部情绪、视频广告和 ITU-T P.1203 的关系推理分析
Pub Date : 2024-05-03 DOI: 10.3390/technologies12050062
Tisa Selma, M. M. Masud, A. Bentaleb, Saad Harous
This study introduces an FER-based machine learning framework for real-time QoE assessment in video streaming. This study’s aim is to address the challenges posed by end-to-end encryption and video advertisement while enhancing user QoE. Our proposed framework significantly outperforms the base reference, ITU-T P.1203, by up to 37.1% in terms of accuracy and 21.74% after attribute selection. Our study contributes to the field in two ways. First, we offer a promising solution to enhance user satisfaction in video streaming services via real-time user emotion and user feedback integration, providing a more holistic understanding of user experience. Second, high-quality data collection and insights are offered by collecting real data from diverse regions to minimize any potential biases and provide advertisement placement suggestions.
本研究介绍了一种基于 FER 的机器学习框架,用于视频流中的实时 QoE 评估。这项研究旨在解决端到端加密和视频广告带来的挑战,同时提高用户 QoE。我们提出的框架在准确性方面明显优于基础参考文献 ITU-T P.1203,准确率高达 37.1%,在属性选择后为 21.74%。我们的研究在两个方面为该领域做出了贡献。首先,我们提供了一种有前途的解决方案,通过实时用户情感和用户反馈整合,提供对用户体验更全面的理解,从而提高视频流服务的用户满意度。其次,通过收集来自不同地区的真实数据,我们提供了高质量的数据收集和见解,从而最大限度地减少了任何潜在的偏差,并提供了广告投放建议。
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引用次数: 0
New Upgrade to Improve Operation of Conventional Grid-Connected Photovoltaic Systems 改进传统并网光伏系统运行的新升级方案
Pub Date : 2024-05-02 DOI: 10.3390/technologies12050061
M. Cáceres, Alexis Raúl González Mayans, A. Firman, L. Vera, Juan de la Casa Higueras
The incorporation of distributed generation with photovoltaic systems entails a drawback associated with intermittency in the generation capacity due to variations in the solar resource. In general, this aspect limits the level of penetration that this resource can have without producing an appreciable impact on the quality of the electrical supply. With the intention of reducing its intermittency, this paper presents the characterization of a methodology for maximizing grid-connected PV system operation under low-solar-radiation conditions. A new concept of a hybrid system based on a constant current source and capable of integrating different sources into a conventional grid-connected PV system is presented. Results of an experimental characterization of a low-voltage grid–PV system connection with a DC/DC converter for constant-current source application are shown in zero and non-zero radiation conditions. The results obtained demonstrate that the proposed integration method works efficiently without causing appreciable effects on the parameters that define the quality of the electrical supply. In this way, it is possible to efficiently incorporate another source of energy, taking advantage of the characteristics of the GCPVS without further interventions in the system. It is expected that this topology could help to integrate other generation and/or storage technologies into already existing PV systems, opening a wide field of research in the PV systems area.
将分布式发电与光伏系统结合在一起会产生一个缺点,即由于太阳能资源的变化而导致发电能力的间歇性。一般来说,这限制了这种资源在不对供电质量产生明显影响的情况下的渗透水平。为了减少其间歇性,本文介绍了在低太阳辐射条件下最大化并网光伏系统运行的方法。本文提出了一个基于恒流源的混合系统新概念,该系统能够将不同的电源集成到传统的并网光伏系统中。实验结果表明,在零辐射和非零辐射条件下,低压并网光伏系统与用于恒流源应用的 DC/DC 转换器连接。实验结果表明,所提出的集成方法能有效工作,不会对确定供电质量的参数产生明显影响。这样,就有可能有效地整合另一种能源,利用 GCPVS 的特性,而无需对系统进行进一步干预。预计这种拓扑结构有助于将其他发电和/或储能技术集成到现有的光伏系统中,为光伏系统领域的研究开辟了广阔的天地。
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引用次数: 0
A Comparison between Kinematic Models for Robotic Needle Insertion with Application into Transperineal Prostate Biopsy 经会阴前列腺活检机器人插针运动模型比较
Pub Date : 2024-03-01 DOI: 10.3390/technologies12030033
Chiara Zandonà, A. Roberti, Davide Costanzi, Burçin Gül, Özge Akbulut, Paolo Fiorini, Andrea Calanca
Transperineal prostate biopsy is the most reliable technique for detecting prostate cancer, and robot-assisted needle insertion has the potential to improve the accuracy of this procedure. Modeling the interaction between a bevel-tip needle and the tissue, considering tissue heterogeneity, needle bending, and tissue/organ deformation and movement is a required step to enable robotic needle insertion. Even if several models exist, they have never been compared on experimental grounds. Based on this motivation, this paper proposes an experimental comparison for kinematic models of needle insertion, considering different needle insertion speeds and different degrees of tissue stiffness. The experimental comparison considers automated insertions of needles into transparent silicone phantoms under stereo-image guidance. The comparison evaluates the accuracy of existing models in predicting needle deformation.
经会阴前列腺活检是检测前列腺癌最可靠的技术,而机器人辅助穿刺针有可能提高这种手术的准确性。考虑到组织的异质性、针的弯曲以及组织/器官的变形和运动,建立斜面针与组织之间的相互作用模型是实现机器人插针的必要步骤。即使存在多种模型,也从未在实验基础上对它们进行过比较。基于这一动机,本文提出了针插入运动学模型的实验比较,考虑了不同的针插入速度和不同程度的组织硬度。实验比较考虑了在立体图像引导下将针自动插入透明硅胶模型的情况。比较评估了现有模型在预测针变形方面的准确性。
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引用次数: 0
Graph Learning and Deep Neural Network Ensemble for Supporting Cognitive Decline Assessment 支持认知衰退评估的图谱学习和深度神经网络组合
Pub Date : 2023-12-24 DOI: 10.3390/technologies12010003
Gabriel Antonesi, A. Rancea, T. Cioara, I. Anghel
Cognitive decline represents a significant public health concern due to its severe implications on memory and general health. Early detection is crucial to initiate timely interventions and improve patient outcomes. However, traditional diagnosis methods often rely on personal interpretations or biases, may not detect the early stages of cognitive decline, or involve invasive screening procedures; thus, there is a growing interest in developing non-invasive methods benefiting also from the technological advances. Wearable devices and Internet of Things sensors can monitor various aspects of daily life together with health parameters and can provide valuable data regarding people’s behavior. In this paper, we propose a technical solution that can be useful for potentially supporting cognitive decline assessment in early stages, by employing advanced machine learning techniques for detecting higher activity fragmentation based on daily activity monitoring using wearable devices. Our approach also considers data coming from wellbeing assessment questionnaires that can offer other important insights about a monitored person. We use deep neural network models to capture complex, non-linear relationships in the daily activities data and graph learning for the structural wellbeing information in the questionnaire answers. The proposed solution is evaluated in a simulated environment on a large synthetic dataset, the results showing that our approach can offer an alternative as a support for early detection of cognitive decline during patient-assessment processes.
认知能力下降严重影响记忆力和全身健康,是一个重大的公共卫生问题。早期发现对于及时采取干预措施和改善患者预后至关重要。然而,传统的诊断方法往往依赖于个人的解释或偏见,可能无法检测到认知能力衰退的早期阶段,或涉及侵入性筛查程序;因此,人们对开发非侵入性方法的兴趣日益浓厚,这也得益于技术的进步。可穿戴设备和物联网传感器可以监测日常生活的各个方面以及健康参数,并能提供有关人们行为的宝贵数据。在本文中,我们提出了一种技术解决方案,通过采用先进的机器学习技术,在使用可穿戴设备进行日常活动监测的基础上检测较高的活动碎片化程度,从而为早期阶段的认知衰退评估提供潜在支持。我们的方法还考虑了来自健康评估问卷的数据,这些数据可以提供有关被监测者的其他重要信息。我们使用深度神经网络模型来捕捉日常活动数据中复杂的非线性关系,并使用图学习来获取问卷答案中的结构性健康信息。我们在一个大型合成数据集的模拟环境中对所提出的解决方案进行了评估,结果表明,我们的方法可以为患者评估过程中认知能力下降的早期检测提供替代支持。
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引用次数: 0
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Technologies
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