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2004 IEEE/RSJ International Conference on Intelligent robots and Systems (IROS)

作者： Won, Daeheui Lee, Ho-Gil Kim, Jin-Young Choi, Moosung Kang, Min-Sung Contr. and Intell. Research Group Div. for Applied Robot Technology Korea Inst. of Industrial Technology Cheonan and Ansan Korea Republic of

ISBN: (纸本)0780384636

In this paper, a new wearable input device recognizing human hand-motion, a keyglove, is proposed. The glove can resolve the disadvantages of the conventional input devices and can be adapted to the mobile computing environment The device is applicable as the touch-typing input method for users' easy understanding and improvement of input speed. The hand-motion for touch-typewriting using QWERTY keyboard, which is most widely being used currently, is analyzed. The analyzed results show that the model with 21 DOF can be reduced to one with approximately 14 DOF. The hand-motion capture module using low price sensors is also developed for hand-motion recognition. In general, however, typists using the keyglove system can not exactly determine the key position of desired input letter because the virtual keyboard does not have the physical location of key layouts, and that causes many typewriting errors at a long typewriting time. Therefore, an algorithm is needed to cope with the problem and to reduce typewriting errors due to personal disparities such as hand shapes and typewriting habits. For this reason, the time-variant prediction algorithm is proposed to minimize typewriting errors, and the possibility of the developed keyglove system is also verified.

关键词： Typewriter keyboards

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Enhancement in performance of CuMnO2 anchored over rGO for water splitting

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Journal of Physics and Chemistry of Solids 2025年 206卷

作者： Qasim, Muffarah Atta, Muhammad Shahrukh safra, Imen Makasana, Jayanti Rekha, M.M. Kumar, G. Senthil Al-Anber, Mohammed A. Das, Sankar Narayan Chaudhary, Rahul Kumar, Abhinav Oza, Ankit D. Department of Chemistry Government Graduate College Taunsa Sharif32100 Pakistan Department of Mechanical Engineering University of Engineering and Technology Taxila47080 Pakistan Department of Physics College of Science Princess Nourah bint Abdulrahman University P.O. Box 84428 Riyadh11671 Saudi Arabia Marwadi University Research Centre Department of Mechanical Engineering Faculty of Engineering & Technology Marwadi University Gujarat Rajkot360003 India Karnataka Bangalore India Department of Mechanical Engineering Sathyabama Institute of Science and Technology Tamil Nadu Chennai India Department of Chemistry Faculty of Sciences Applied Science Private University P.O. Box 166 Amman11931 Jordan Odisha Bhubaneswar751030 India Department of Mechanical Engineering Chandigarh Engineering College Chandigarh Group of Colleges-Jhanjeri Punjab Mohali140307 India Department of Nuclear and Renewable Energy Ural Federal University Named After the First President of Russia Boris Yeltsin Ekaterinburg620002 Russia Department of Mechanical Engineering and Renewable Energy Technical Engineering College The Islamic University Najaf Iraq University Centre for Research and Development Chandigarh University Punjab Mohali140413 India Centre for Research Impact & Outcome Chitkara University Institute of Engineering and Technology Chitkara University Punjab Rajpura140401 India

Now, the global energy demand increases and scientist are continuously trying to find renewable resources for energy production. Electrochemical water splitting known as an efficient and economical friendly method to fulfil global energy demands. In water splitting catalyst play crucial role. This study presents the synthesis of CuMnO2 electrocatalyst, that is generated via hydrothermal method. The successful fabrication of generated nanohybrid were done by XRD, BET, SEM and EDS which confirmed high crystallinity, surface area, better morphology and purity. The electrocatalytic performance of fabricated composite was checked in basic (1 M KOH) which confirmed lower Tafel slope (43 mV dec−1) and reduced overpotential (η) of 254 mV at 10 mA cm−2 current density (j). Additionally, the CuMnO2/rGO composite exhibits an elevated active surface area of 3670 cm2 and lower resistance (1.04 Ω). Moreover, rGO provide higher surface area to catch more electrons for the enhancement in specific electrical conductivity for OER. Eventually, the synergistic interaction of CuMnO2 and rGO enhances the stability and electrical conductivity of the composite by providing an electron transmission pathway and structural integrity. Therefore, the above stated results shows that synthesized composite exhibited remarkable efficacy in OER process. © 2025 Elsevier Ltd

关键词： Potassium hydroxide

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Factors linked to poor self-rated health in thyroid disorder patients: findings from LASI Wave-I

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Thyroid research 2025年第1期18卷 1-11页

作者： Kumar, Pawan Sen, Arunima Priyanshu, Priyanshu Khatib, Mahalaqua Nazli Roopashree, R. Kaur, Mandeep Srivastava, Manish Barwal, Amit Siva Prasad, G.V. Rajput, Pranchal Shabil, Muhammed Syed, Rukshar Sharma, Gajendra Gaidhane, Abhay M. Jena, Diptismita Bushi, Ganesh Mehta, Rachana Verma, Amit Serhan, Hashem Abu Neyazi, Ahmad Satapathy, Prakasini Department of Community Medicine School of Public Health Postgraduate Institute of Medical Education and Research Chandigarh India Global Center for Evidence Synthesis Chandigarh India Division of Evidence Synthesis Global Consortium of Public Health and Research Datta Meghe Institute of Higher Education Maharashtra Wardha India Department of Chemistry and Biochemistry School of Sciences JAIN (Deemed to be University) Karnataka Bangalore India Department of Allied Healthcare and Sciences Vivekananda Global University Jaipur Rajasthan 303012 India Department of Endocrinology NIMS University Rajasthan Jaipur India Chandigarh Pharmacy College Chandigarh Group of College Jhanjeri Punjab Mohali 140307 India Department of Chemistry Raghu Engineering College Andhra Pradesh Visakhapatnam 531162 India School of Applied and Life Sciences Division of Research and Innovation Uttaranchal University Uttarakhand Dehradun India University Center for Research and Development Chandigarh University Punjab Mohali India Medical Laboratories Techniques Department AL-Mustaqbal University Hillah Babil 51001 Iraq IES Institute of Pharmacy IES University Madhya Pradesh Bhopal 462044 India New Delhi Institute of Management Delhi India Global Health Academy School of Epidemiology and Public Health Jawaharlal Nehru Medical College Datta Meghe Institute of Higher Education Maharashtra Wardha India Center for Global Health Research Saveetha Institute of Medical and Technical Sciences Saveetha Medical College and Hospital Saveetha University Tamil Nadu Chennai India School of Pharmaceutical Sciences Lovely Professional University Punjab Phagwara India University of Cyberjaya Persiaran Bestari Cyber 11 Selangor Darul Ehsan Cyberjaya 63000 Malaysia Clinical Microbiology RDC Manav Rachna International Institute of Research and Studies Haryana Faridabad 121004 India Department of Medicine Graphic Era Institute of Medical Sciences Graphic Era (Deemed to be Univers

Background: Thyroid disorders affect the physical, behavioural, and psychological aspects of an individual, leading to poor self-rated health (SRH). Hence, we aimed to determine the prevalence of poor SRH and the factors associated with it among thyroid disorder patients. Methods: This is an observational study consisting of 2336 thyroid disorder patients from LASI, 2017-19. Descriptive statistics were employed to calculate prevalence. The association between poor SRH and socio-demographic variables was evaluated using regression analysis, with results expressed as (AOR) and 95% CI. Results: The findings showed poor self-rated health predictors among thyroid disorder patients, where 25% rated their health as poor. Significant predictors included older age, with patients aged ≥ 75 years having a higher likelihood of reporting poor health (aOR = 2.36, 95% CI = 1.32–4.22, p = 0.004), and rural residence (aOR = 1.34, 95% CI = 1.07–1.67, p = 0.011). Belonging to the OBC caste (aOR = 1.57, 95% CI = 1.23–2.00, p < 0.001) and practicing Christianity (aOR = 1.90, 95% CI = 1.25–2.89, p = 0.003) were also associated with increased odds of poor SRH. Previous employment (aOR = 1.65, 95% CI = 1.20–2.25, p = 0.002), co-morbidities (aOR = 2.59, 95% CI = 1.88–3.59, p < 0.001), and lower education levels (aOR = 1.50, 95% CI = 1.06–2.13, p = 0.022) were significant. Limitations in activities of daily living and instrumental activities of daily living were linked to poorer health outcomes (aOR = 1.76, 95% CI = 1.33–2.31, p < 0.001;IADL: aOR = 1.41, 95% CI = 1.11–1.79, p = 0.004). Depression (aOR = 1.84, 95% CI = 1.32–2.56, p < 0.001) and healthcare utilization in the past year (aOR = 1.86, 95% CI = 1.33–2.58, p < 0.001) also predicted poor SRH, with most healthcare utilization (79.8%) occurring in private facilities. Conclusion: The study highlights a high prevalence of poor SRH among patients, with significant associations observed with age, residence, comorbidity, and healthcare util

关键词： Goitre Good Health and Well-being Hashimoto's Thyroiditis Healthcare utilization, thyroid cancer Hyperthyroidism Hypothyroidism

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Imaging AC magnetization response of soft magnetic thin films using diamond quantum sensors

Communications Materials

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Communications Materials 2025年第1期6卷 1-9页

作者： Kitagawa, Ryota Nakatsuka, Aoi Kohashi, Teruo Tsuji, Takeyuki Nitta, Honami Mizuno, Kosuke Takamura, Yota Nakagawa, Shigeki Iwasaki, Takayuki Yacoby, Amir Hatano, Mutsuko School of Engineering Tokyo Institute of Technology Meguro-ku Tokyo Japan Research & Development Group Hitachi Ltd. Hatoyama Saitama Japan Department of Physics Harvard University CambridgeMA United States John A. Paulson School of Engineering and Applied Science Harvard University CambridgeMA United States

The energy loss in inductor core is a significant limitation in high-frequency power electronics. For evaluating and optimizing soft magnets, simultaneous imaging of both amplitude and phase of AC stray fields beyond 10 kHz is crucial. Here, we develop an imaging technique for analyzing AC magnetization response using diamond quantum sensors. For frequencies up to 200 kHz, we propose a measurement protocol, Qubit Frequency Track (Qurack), where microwave frequency modulation tracks qubit frequency oscillations. For higher frequencies above MHz, quantum heterodyne (Qdyne) imaging is employed. The soft magnetic CoFeB–SiO2 thin films, developed for high-frequency inductors, exhibit near-zero phase delay up to 2.3 MHz, indicating negligible energy loss. Moreover, the energy loss depends on the anisotropy: when the magnetization is driven along the easy axis, phase delay increases with frequency, signifying higher energy dissipation. These results suggest potential applications in analyzing soft magnets and improving the performance of power electronics. (Figure presented.) © The Author(s) 2025.

关键词： Energy dissipation

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First principles study on the switching mechanism in Resistance Random Access Memory devices

First principles study on the switching mechanism in Resista...

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2011 International Conference on Simulation of Semiconductor Processes and Devices, SISPAD 2011

作者： Kasai, Hideaki Aspera, Susan Meñez Kishi, Hirofumi Awaya, Nobuyoshi Ohnishi, Shigeo Tamai, Yukio Graduate School of Engineering Osaka University Precision Science and Technology and Applied Physics Osaka Japan Sharp Corporation Corporate Research and Development Group Hiroshima Japan

ISBN: (纸本)9781612844169

The role of Resistance Random Access Memory (RRAM) is recently becoming extremely important in the field of developing non-volatile memory devices. The foreseen relevance of RRAM in this field is attributed to the switching of the electronic properties from metal to insulator, and vice versa, of the transition metal oxides (TMOs) included in RRAM by a set and reset pulse voltage. However, conclusive clarifications on the switching mechanism have not yet been fully realized. In this study, by using first principles calculation based on density functional theory, we investigated RRAM's switching mechanism through analysis of the change in the electronic properties of the bulk TMOs resulting from oxygen vacancies and charge carrier trapping for two known TMOs materials used in RRAM, HfO2 and CoO. We found that an oxygen vacancy row with charge carrier trapping creates a conduction path and therefore the transition from insulator to metal. In addition, we perform calculations for slab models of the TMOs in contact with Ta electrodes and hence investigate the effects of oxygen vacancies at the interface between the TMO layers and the electrode layer. From the obtained results, we confirmed that our investigations on activation energy barrier for oxygen vacancy migration are consistent with the experimental data of voltages required for switching. © 2011 IEEE.

关键词： Oxygen vacancies

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Proficiency, Clarity, and Objectivity of Large Language Models Versus Specialists’ Knowledge on COVID-19's Impacts in Pregnancy: Cross-Sectional Pilot Study

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JMIR Formative research 2025年 9卷 e56126页

作者： Bragazzi, Nicola Luigi Buchinger, Michèle Atwan, Hisham Tuma, Ruba Chirico, Francesco Szarpak, Lukasz Farah, Raymond Khamisy-Farah, Rola Laboratory for Industrial and Applied Mathematics Department of Mathematics and Statistics York University Toronto ON Canada Department of Computer Science Data Science and Information Technology Faculty of Natural and Applied Sciences Sol Plaatje University Kimberley South Africa Azrieli Faculty of Medicine Bar-Ilan University Ramat Gan Israel Kaplan Medical Centre Department of Internal Medicine Hebrew University Rehovot Israel Department of Obstetrics and Gynecology Galilee Medical Center Nahariya Israel Post-Graduate School of Occupational Health Università Cattolica del Sacro Cuore Rome Italy Henry JN Taub Department of Emergency Medicine Baylor College of Medicine Houston TX United States Department of Clinical Research and Development LUXMED Group Warsaw Poland Institute of Medical Science Collegium Medicum The John Paul II Catholic University of Lublin Lublin Poland

Background: The COVID-19 pandemic has significantly strained health care systems globally, leading to an overwhelming influx of patients and exacerbating resource limitations. Concurrently, an “infodemic” of misinformation, particularly prevalent in women’s health, has emerged. This challenge has been pivotal for health care providers, especially gynecologists and obstetricians, in managing pregnant women’s health. The pandemic heightened risks for pregnant women from COVID-19, necessitating balanced advice from specialists on vaccine safety versus known risks. In addition, the advent of generative artificial intelligence (AI), such as large language models (LLMs), offers promising support in health care. However, they necessitate rigorous testing. Objective: This study aimed to assess LLMs’ proficiency, clarity, and objectivity regarding COVID-19’s impacts on pregnancy. Methods: This study evaluates 4 major AI prototypes (ChatGPT-3.5, ChatGPT-4, Microsoft Copilot, and Google Bard) using zero-shot prompts in a questionnaire validated among 159 Israeli gynecologists and obstetricians. The questionnaire assesses proficiency in providing accurate information on COVID-19 in relation to pregnancy. Text-mining, sentiment analysis, and readability (Flesch-Kincaid grade level and Flesch Reading Ease Score) were also conducted. Results: In terms of LLMs’ knowledge, ChatGPT-4 and Microsoft Copilot each scored 97% (32/33), Google Bard 94% (31/33), and ChatGPT-3.5 82% (27/33). ChatGPT-4 incorrectly stated an increased risk of miscarriage due to COVID-19. Google Bard and Microsoft Copilot had minor inaccuracies concerning COVID-19 transmission and complications. In the sentiment analysis, Microsoft Copilot achieved the least negative score (–4), followed by ChatGPT-4 (–6) and Google Bard (–7), while ChatGPT-3.5 obtained the most negative score (–12). Finally, concerning the readability analysis, Flesch-Kincaid Grade Level and Flesch Reading Ease Score showed that Microsoft Copil

关键词： accuracy chatGPT COVID-19 generative artificial intelligence google bard gynecology infectious large language model microsoft copilot natural language processing obstetric pregnancy readability reproductive health sentiment text mining vaccination vaccine women zero shot

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Scanning protocol influence on relative electron Density-CT number calibrations and radiotherapy dose calculation for a Halcyon Linac

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Radiation Physics and Chemistry 2025年

作者： Thanh Tai, Duong Nhu Tuyen, Pham Duc Tuan, Hoang Hung, Hoang T.P. Kandemir, Recep Omer, Hiba Sulieman, Abdelmoneim Bradley, David Chow, James C.L. Department of Medical Physics Faculty of Medicine Nguyen Tat Thanh University 298-300A Nguyen Tat Thanh Street Ward 13 District 4 Ho Chi Minh City Viet Nam Department of Radiation Oncology University Medical Shing Mark Hospital Dong Nai 810000 Viet Nam Danang Irradiation Facility Research and Development Center for Radiation Technology VINATOM 550000 Da Nang Viet Nam Dokuz Eylül University Institute of Health Sciences Department of Medical Physics Izmir Turkey Dokuz Eylül University Vocational School of Health Services The Program of Radiotherapy Izmir Turkey Department of Radiological Sciences College of Applied Medical Sciences Imam Abdulrahman Bin Faisal University P. O. Box 1982 Dammam34212 Saudi Arabia Department of Radiological Sciences College of Applied Medical Sciences King Saud Bin Abdulaziz University for Health Sciences Al Ahsa Saudi Arabia Imaging Physics Section Research and Innovation Department King Faisal Specialist Hospital & Research Center Riyadh Saudi Arabia Applied Radiation Physics and Technologies Group Sunway University 46150 PJ Malaysia School of Mathematics and Physics University of Surrey GuildfordGU2 7XH United Kingdom Department of Radiation Oncology University of Toronto TorontoONN5T 1P5 Canada Radiation Medicine Program Princess Margaret Cancer Centre University Health Network ONM5G 1X6 Canada

Tissue Relative Electron Density (RED), typically determined via computation of CT-based Hounsfield unit (HU) values, has an accuracy which is affected by the choice of CT scanning parameters. The influence of these on the RED-CT number calibration curves is of importance, not least concerning variations in CT x-ray tube voltage and current. The purpose of this study was to examine the effect of variations in CT x-ray tube voltage and current on the calibration curves of RED - CT number conversion, with the aim of improving the accuracy of dose calculation in radiotherapy treatment planning. An electron density phantom CIRS have been conducted at 200 mAs, for tube voltages of 80, 110, and 130 kVp, corresponding images being calibrated in terms of RED-CT number conversion curves. Subsequent treatment plans have been generated, identified in terms of the applied tube voltages, the 130 kVp plan being designated the reference plan. The remaining plans have been compared to the reference plan via analysis of isodose distribution and dose. The influence of tube voltage were being found to be greatest for high-density substances such as bone in comparison to low-density materials. Conversely, the CT number of a titanium rod has been consistent, regardless of the choice of tube voltage or current. The effect of tube current variation on the calibration curves has been minor at higher tube voltages but more pronounced using lower voltages and current. The presence in the phantom of plugs of high-density materials has resulted in beam hardening artefacts, impacting on the RED values for other plugs. In achieving accurate dose calculation for radiotherapy treatment plans the work underscores the need to account for effects of CT scanning parameters on the RED-CT number conversion curves. Further emphasized is the importance of careful selection of imaging protocols in seeking to minimize beam hardening artefacts and to ensure accurate determination of RED. The study demonstrat

关键词： X ray tubes

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Thermal Error Modelling using Features selected from Particle Swarm Optimization 5

Thermal Error Modelling using Features selected from Particl...

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5th International Conference on Circuits, Control, Communication and Computing, I4C 2024

作者： Ajith Kumar, B. Nayana, B.R. Shashank, P. M. S. Ramaiah University of Applied Sciences Dept. of Computer Science and Engineering Bengaluru India Ace Designers Ltd. Research and Technology Development Group Bengaluru India

ISBN: (数字)9798331528539

ISBN: (纸本)9798331528539

Computer Numerical Control (CNC) machines are employed in various industrial manufacturing processes to produce precise components. The CNCs are prone to thermal deviations from the heat generated during machining. Axis motors, rotary bearings, and spindle motors are the main sources of heat. In this context, temperature sensitive areas (TSAs) apply to these locations. The accuracy of the machining process is directly affected by the heat-induced deviation between the tool and the workpiece. The objective is to minimize these deviations between the tool and the workpiece. The most challenging aspect of creating thermal error compensation models is figuring out which TSAs to use. This work proposes employing particle swarm optimization (PSO), a computational intelligence (CI) technique, to choose significant features. First, information about the machine's temperature and thermal deviation is collected. Second, the outliers are eliminated by cleaning the data. Following this, PSO optimizes the error band to identify which TSAs are significant. Advanced machine learning (ML) models like polynomial regression (PR) and random forest (RF) regression are trained utilizing these TSAs as features. The proposed approach is compared with matching models developed with features selected through the brute force (BF) approach. While PSO-RF outperformed BF-RF in providing 16.60% error reduction with different features, PSO-PR and BF-PR provided 47.12% error band reduction with similar features. Based on the findings, it can be concluded that PSO-PR can be used on the machine and that PSO outperforms BF in terms of identifying the ideal subset of influential features. © 2024 IEEE.

关键词： Error compensation

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Strategies for Semi-Automated Registration of Historic Aerial Photographs Utilizing Street and Roof Segmentations as Durable Landmarks 34

Strategies for Semi-Automated Registration of Historic Aeria...

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34th European Modeling and Simulation Symposium, EMSS 2022

作者： Zwettler, Gerald A. Ono, Yuta Stradner, Michael Praschl, Christoph Research Group Advanced Information Systems and Technology Research and Development Department University of Applied Sciences Upper Austria Graduate School of Software and Information Science Iwate Prefectural University Japan Department of Software Engineering School of Informatics Communications and Media University of Applied Sciences Upper Austria

Historical and current aerial photographs are only of great value if the geolocation or address of the photographed areas is also available. In Western Europe, especially Austria, Germany and Czech Republic, there is a market for the sale of aerial photographs of one’s own private residential building. Automated geolocation is a feasible way to enable the sales agents to assign the addresses for the sale more quickly. In the course of this research work, a process chain is modeled that allows the assignment of aerial photographs to residential addresses using machine vision. After model-based rectifying the aerial images to compensate for perspective distortions, larger image blocks get assembled using image stitching. The assignment to a 2D reference map, such as satellite imagery via Google Maps, is done by applying a U-Net CNN after extracting durable image features such as roads or buildings. The mapping of aerial imagery to two-dimensional cartography is either automated via registration approaches or based on manually placed corresponding landmarks and homography. Test runs on imagery between the years 1969 and 2020 show that the labor-intensive process of geolocation of aerial imagery can be solved by the proposed process model in a hybrid way. © 2022 The Authors.

关键词： Antennas

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Groundwater for sustainable development - cross cutting the UN sustainable development goals - editorial

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Groundwater for Sustainable development 2015年第1-2期1卷 155-157页

作者： Bhattacharya, Prosun Bundschuh, Jochen KTH-International Groundwater Arsenic Research Group Department of Sustainable Development Environmental Science and Technology KTH Royal Institute of Technology Stockholm Sweden International Center for Applied Climate Science West Street ToowoombaQLD Australia and Faculty of Health Engineering and Sciences University of Southern Queensland West Street ToowoombaQLD4350 Australia

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