检索结果-内蒙古大学图书馆

Prediction tools for assessing functional impacts of gene mutations in Clear Cell Renal Cell Carcinoma: A comparative study

引用

Computers in Biology and Medicine 2025年第PT A期192卷 110187-110187页

作者： Yang, Cheng-Hong Lin, Guan-Cheng Wu, Chih-Hsien Chen, Jin-Bor Chuang, Li-Yeh Department of Information Management Tainan University of Technology Tainan Taiwan Department of Electronic Engineering National Kaohsiung University of Science and Technology Kaohsiung Taiwan Drug Development and Value Creation Research Center Kaohsiung Taiwan Ph. D. Program in Biomedical Engineering Kaohsiung Medical University Kaohsiung Taiwan Division of Nephrology Department of Internal Medicine Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine Taiwan Department of Chemical Engineering & Institute of Biotechnology and Chemical Engineering I-Shou University Kaohsiung Taiwan Taiwan

Renal cell carcinoma (RCC) is a well-known malignancy characterized by specific gene mutations that elevate its occurrence. It can be categorized into clear cell RCC (ccRCC), papillary RCC, and chromophobe RCC, which account for approximately 85 % of all primary RCC cases. The mutations typically involve single-nucleotide variants (SNVs) that lead to amino acid substitutions, which influence various biological functions, including gene expression. Therefore, predicting the functional consequences of RCC-related single-nucleotide polymorphisms (SNPs), including substitutions, insertions, deletions, and duplications, is crucial for the effective clinical management of RCC. In recent years, the accessibility and popularity of tools for predicting SNP functional variations have grown, especially in research concerning the potential risks associated with key gene mutations in cancer. Accordingly, this study focused on commonly mutated genes in ccRCC, namely VHL, BAP1, PBRM1, and SETD2. Public data from sources such as The Cancer Genome Atlas and the National Center for Biotechnology Information were used to identify 61 gene mutation positions. Nine nonsynonymous mutation prediction tools were used for analysis, namely SIFT, Polyphen-2, Mutation Assessor, Fathmm, MutPred, CHASM, Revel, Provean, and SNP&GO. The tools were evaluated by their statistical performance, prediction distribution, and receiver operating characteristic curves. The three tools with the highest accuracy for predicting the functional consequences of mutations in the four frequently mutated genes associated with ccRCC were SIFT (accuracy of 0.75), Provean (0.7), and Polyphen-2 (0.69). These findings offer valuable insights into predicting ccRCC-related gene mutation effects, but further research and validation are essential to support their clinical applications. © 2025

关键词： Transcription

来源：评论

学校读者我要写书评

暂无评论

Using Real-Time Integrated Computer Vision and Deep Learning for Advanced Factory Safety

Using Real-Time Integrated Computer Vision and Deep Learning...

引用

Electronic Communications, Internet of Things and Big Data (ICEIB), International Conference on

作者： Shang-Te Tsai Yu-Cheng Chang Chao-Yi Huang Fang-Yuan Yang Wei Chien Zong-Rong Wu School Art and Design Sanming University Fujian China Department of Computer Science and Information Engineering National Taipei University of Technology Taipei Taiwan Department of Information Management National Yunlin University of Science and Technology Yunlin Taiwan Department of Computer Information and Network Engineering Lunghwa University of Science and Technology Taoyuan Taiwan Department of Technical and Vocational Program in Artificial Intelligence National Yunlin University of Science and Technology Yunlin Taiwan

ISBN: (数字)9798350360721

ISBN: (纸本)9798350360738

Innovative safety in the workplace is vital as the high safety risks associated with electrical engineering construction can lead to injuries or even fatalities. Using computer vision technology, we experimented with scenarios such as “normal operations” and “unexpected incidents” to enhance safety measures. We integrated an Internet of Things system into the setup, enabling the system to quickly detect and alert to unexpected events in real-time, thereby improving workplace safety.

关键词： Computer vision Prevention and mitigation Employment Real-time systems Production facilities Safety Internet of Things

来源：评论

学校读者我要写书评

暂无评论

A Heuristic Approach using Block Chain to Fight Novel COVID-19 during an Election 6

A Heuristic Approach using Block Chain to Fight Novel COVID-...

引用

6th IEEE International Conference on Innovative Technologies in Intelligent System and Industrial Application, CITISIA 2021

作者： Nath, Ira Biswas, Pratnadeep Ganguly, Kankana Singh, Dharmpal Islam, Sardar M.N. Quang Cuong, Ton Pal, Souvik JIS College of Engineering Computer Science Engineering Kalyani India Victoria University ISILC and Decision Sciences and Modeling Program Australia Vietnam National University Hanoi Viet Nam Global Institute of Management and Technology Computer Science Engineering Krisnanagar India

ISBN: (纸本)9781665417846

India is a highly densely populated country. India is facing a very serious challenge due to the novel COVID-I9 outbreak. In this situation, the economic state of the people is very unstable. Blockchain technology proves helpful to subdue the situation. A voting system with ballot papers is quite tuff now. It is very costly for the government. The pandemic may also spread very quickly. The system of developing ledger serves the idea of developments of a new e-voting system that is economical, easy to use, and highly secure. This paper proposes ways and solutions to design an e-voting system using blockchain technology. The paper's primary goal is to develop a highly secure e-voting technique using which people can cast their valuable votes from their home, working place - anywhere from the world. This e-voting technique is least costly, highly secure, and able to prevent further spreading of any infectious disease in the near future. In this paper, an e-voting system using blockchain has been designed to overcome all these difficulties mentioned above during traditional voting using ballot. The significance of the proposed work is to design of a highly safe and least costly e- voting system using blockchain. Using this system the people can cast their vote easily, securely and without wasting any time. Casting vote will be now just from few clicks away and from any place with a stable internet connection. © 2021 IEEE.

关键词： COVID-19

来源：评论

学校读者我要写书评

暂无评论

Developing a novel Temporal Air-quality Risk Index using LSTM autoencoder: A case study with South Korean air quality data

引用

Science of the Total Environment 2025年 978卷 179303页

作者： Park, Hyerim Sohn, Wonho Kang, Eunjin Im, Jungho Lee, Junghye Technology Management Economics and Policy Program Seoul National University 1 Gwanak-ro Seoul08826 Korea Republic of Department of Industrial Engineering Ulsan National Institute of Science and Technology 50 UNIST-gil Ulsan44919 Korea Republic of Department of Civil Urban Earth Environmental Engineering Ulsan National Institute of Science and Technology 50 UNIST-gil Ulsan44919 Korea Republic of Institute of Engineering Research Seoul National University 1 Gwanak-ro Seoul08826 Korea Republic of of Engineering Practice Seoul National University 1 Gwanak-ro Seoul08826 Korea Republic of

As public awareness of environmental and health issues grows, providing accurate and accessible environmental risk information is essential for informed decision-making. Environmental indices simplify the complex impacts of various environmental factors into a single, interpretable score. The Air Quality Index (AQI) and Air Quality Health Index (AQHI), a widely recognized standard, reflects health risks posed by air pollution but has significant limitations. Conventional index calculations often focus on the single most hazardous pollutant or ignore the combined and cumulative effects of multiple pollutants. Additionally, the commonly used linear and arithmetic approaches can misrepresent actual risks and fail to capture the temporal dynamics of environmental factors. To address these limitations, we propose a deep learning framework for developing a more comprehensive air quality index, the Temporal Air-quality Risk Index (TARI). This framework employs a long short-term memory (LSTM) autoencoder to capture complex interactions and temporal dependencies among environmental factors. By incorporating a risk score (RS) that captures non-linear and continuous risks, TARI provides a more accurate assessment of the environmental impact on health. A case study using real air quality data from South Korea demonstrates that TARI outperforms the Korean Comprehensive Air-quality Index (CAI) and AQHI, exhibiting stronger correlations with disease prevalence. These results highlight TARI's improved sensitivity and relevance in assessing health risks, particularly by addressing cumulative and temporal pollutant effects. To our knowledge, this study is the first to apply deep learning to environmental index development, offering a flexible and robust framework with potential applications across diverse environmental systems. © 2025 Elsevier B.V.

关键词： Haze pollution

来源：评论

学校读者我要写书评

暂无评论

Comparison between technical parameters recommended by regulatory agencies and relevant institutions for ventilatory therapy equipment used in patients with COVID-19

引用

Research on Biomedical engineering 2021年第2期37卷 375-388页

作者： de Souza, Daniel Baldoino Frondana, Fernanda Vieira Silva, Fábia Diniz Centre for Innovation and Technology Assessment in Health Postgraduate Program in Electrical and Biomedical Engineering Faculty of Electrical Engineering Federal University of Uberlândia Uberlândia Brazil Health Science Center Postgraduate Program in Health Management and Innovation Federal University of Rio Grande do Norte Natal Brazil Pneumology Division Heart Institute at Clinical Hospital Faculty of Medicine University of São Paulo São Paulo Brazil

Background: Patients contaminated with the new coronavirus, SARS-CoV-2, and who develop the severe form of the disease require ventilatory support to maintain adequate gas exchange. The objective of this systematic review was to establish reference parameters of ventilator therapy used in the various levels of severity of adult patients affected by COVID-19 to assist health professionals and hospital managers who will purchase this equipment. Methods: It used four databases: Medline, Cochrane Central, Scielo, and Pubmed. Restrictions applied as to the language, restricted to English, and to the patient’s profile, only adults affected by SARS-CoV-2. The review process was carried out by three independent reviewers using the PRISMA-P method. Results: Nineteen articles were included, in addition to the recommendations of the Brazilian Association of Intensive Care Medicine (Brazil), Federal Commission for Protection against Health Risks (Mexico), Medicines and Healthcare Products Regulatory Agency (UK), Pan American Health Organization, and World Health Organization. The types of ventilatory therapies found in the articles eligible for this study were continuous positive airway pressure (CPAP), non-invasive ventilation (NIV), and invasive mechanical ventilation (IMV). For each ventilatory therapy, the parameters presented in the article and the recommendations of regulatory agencies and relevant institutions were compared and analyzed. Conclusion: It was possible to suggest a relationship between the respiratory support strategy adopted by the clinical team and the clinical conditions of the patient infected with SARS-CoV-2. The included studies used ventilation modes and parameters within the specifications and recommendations of relevant regulatory agencies and institutions. However, some minor differences were observed in the instruction presented among the agencies more related to the recommended ventilation modes. Further studies are needed. © 2021, Sociedade Bras

关键词： Coronavirus

来源：评论

学校读者我要写书评

暂无评论

Meaningful human control: actionable properties for AI system development

引用

AI and Ethics 2022年第1期3卷 241-255页

作者： Cavalcante Siebert, Luciano Lupetti, Maria Luce Aizenberg, Evgeni Beckers, Niek Zgonnikov, Arkady Veluwenkamp, Herman Abbink, David Giaccardi, Elisa Houben, Geert-Jan Jonker, Catholijn M. van den Hoven, Jeroen Forster, Deborah Lagendijk, Reginald L. AiTech Interdisciplinary Research Program on Meaningful Human Control Delft University of Technology Delft The Netherlands Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Delft The Netherlands Faculty of Industrial Design Engineering Delft University of Technology Delft The Netherlands Faculty of Mechanical Maritime and Materials Engineering Delft University of Technology Delft The Netherlands Faculty of Technology Policy and Management Delft University of Technology Delft The Netherlands

How can humans remain in control of artificial intelligence (AI)-based systems designed to perform tasks autonomously? Such systems are increasingly ubiquitous, creating benefits - but also undesirable situations where moral responsibility for their actions cannot be properly attributed to any particular person or group. The concept of meaningful human control has been proposed to address responsibility gaps and mitigate them by establishing conditions that enable a proper attribution of responsibility for humans; however, clear requirements for researchers, designers, and engineers are yet inexistent, making the development of AI-based systems that remain under meaningful human control challenging. In this paper, we address the gap between philosophical theory and engineering practice by identifying, through an iterative process of abductive thinking, four actionable properties for AI-based systems under meaningful human control, which we discuss making use of two applications scenarios: automated vehicles and AI-based hiring. First, a system in which humans and AI algorithms interact should have an explicitly defined domain of morally loaded situations within which the system ought to operate. Second, humans and AI agents within the system should have appropriate and mutually compatible representations. Third, responsibility attributed to a human should be commensurate with that human’s ability and authority to control the system. Fourth, there should be explicit links between the actions of the AI agents and actions of humans who are aware of their moral responsibility. We argue that these four properties will support practically minded professionals to take concrete steps toward designing and engineering for AI systems that facilitate meaningful human control.

关键词：

来源：评论

学校读者我要写书评

暂无评论

An explainable non-invasive hybrid machine learning framework for accurate prediction of thyroid-stimulating hormone levels

引用

Computers in Biology and Medicine 2025年 189卷 109974-109974页

作者： Mohammed, Areej Alshraideh, Hussam Abu-Helalah, Munir Shamayleh, Abdulrahim Department of Industrial Engineering Engineering Systems Management Program American University of Sharjah SharjahP.O. Box 26666 United Arab Emirates Department of Industrial Engineering American University of Sharjah SharjahP.O. Box 26666 United Arab Emirates Industrial Engineering Department Jordan University of Science and Technology Irbid Jordan Department of Family and Community Medicine School of Medicine University of Jordan Public Health Institute Amman Jordan

Machine learning models, including thyroid biomarkers, are increasingly utilized in healthcare for biomarker prediction. These models offer the potential to enhance disease diagnosis through data-driven approaches relying on non-invasive techniques. However, no studies have explored the application of fully non-invasive methods for predicting thyroid-stimulating hormone (TSH) levels. Consequently, this study introduces a novel, fully non-invasive framework for predicting TSH levels by developing an innovative hybrid machine learning model that balances performance, complexity, and interpretability. Seven ML models were evaluated, and the best-performing models were integrated into a hybrid approach to balance performance, complexity, and interpretability. A dataset of 6190 instances from Jordan was used for model development. Four-dimensional non-invasive factors, including demographics, symptoms, family history, and newly engineered symptom scores, were incorporated into the model. The hybrid model achieved an R2 of 94.2 % and RMSE of 0.015, demonstrating superior predictive performance. Model interpretability was ensured using LIME and SHAP explainers, confirming aggregated symptom scores' critical role in enhancing prediction accuracy. A robust feature selection technique was implemented, reducing model complexity and enhancing performance. Among the top ten features for predicting TSH levels were hypothyroidism and hyperthyroidism symptom scores, family history, cold intolerance, itchy-dry skin, sweating, hand tremors, and palpitations. The model can be employed to develop cost-effective diagnostic tools for thyroid disorders. It also offers a robust framework that can be generalized to predict other biomarkers and applied in diverse contexts. © 2025 Elsevier Ltd

关键词： Prediction models

来源：评论

学校读者我要写书评

暂无评论

Any Bluetooth device can be hacked. Know how?

Cyber Security and Applications

引用

Cyber Security and Applications 2024年 2卷

作者： Muraleedhara, Prathibha Christo, Mary Subaja J, Jaya Yuvasini  D College of Technology – Information Security and Program Management University of Houston 77204 TX United States Department of Networking and Communication School of Computing SRM Institute of Science and Technology Kantankulathur Chennai India Department of Electronics and Communication Engineering Hindustan College of Engineering and Technology India Assistant Professor Department of Computer Science and Business Systems Thiagarajar College of Engineering Madurai 625015 India

In today's world, Bluetooth technology is integrated into almost every device we use, from wireless headsets, mice, and keyboards to cars and smart home devices. But with the convenience of this technology comes the risk of privacy and security breaches. Each Bluetooth device has potential vulnerabilities that cybercriminals can exploit and take advantage of. It is important to create awareness about various Bluetooth vulnerabilities, exploits, and ways to prevent them. This article examines the dark side of Bluetooth technology by explaining how hackers can find ways to bypass the advanced security features of laptops, phones, cars, or smart home devices to compromise the devices and steal personal sensitive data. Whether it is a casual user of Bluetooth technology or a business owner with multiple devices, understanding these risks is crucial to protecting yourself and your information. This article begins by explaining the basics of Bluetooth technology and how it works. Followed by a list of security risks involved while using Bluetooth and finally, it highlights the best practices to protect the devices and the data they contain. © 2024

关键词： Ad hoc networks and security risk Bluetooth Exploit Threat Vulnerability

来源：评论

学校读者我要写书评

暂无评论

Voice-Based Virtual-Controlled Intelligent Personal Assistants

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

引用

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.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Color Refractive Error Exam for Speech Disorder

Color Refractive Error Exam for Speech Disorder

引用

2022 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2022

作者： Yeh, Feng-Ming Huang, Liang-Ying Chiang, Chun-Yu Chang, Rong-Seng Tien, Chuen-Lin Hsieh, Ya-Hui Chen, Der-Chin Yuanpei University of Medical Technology Department of Optometry Hsinchu Taiwan National Central University Department of Optics and Photonics Taoyuan Taiwan Feng Chia University Ph.D. Program of Electrical and Communications Engineering Taichung Taiwan Feng Chia University Department of Electrical Engineering Taichung Taiwan Ming Chuan University Department of Healthcare Information and Management Taoyuan Taiwan

ISBN: (纸本)9798350332421

In this study, a micro-led display, an eye chart player software, and image capture and processing module were used to construct a color refractive error exam for subject with speech disorder. This method can be used to test subjects with refractive errors, eye's color vision and other pathological problems. The micro-led display uses an eye chart player program to display the capital letters E and the other fonts, and the gaps of the E letters can be tumbled in any direction. When subjects with speech disorder were examined for vision, the E chart was displayed sequentially from big letters to small letters, and the image capture and processing module was synchronized with the eye chart player program. The subjects only need to point out the direction of the gap with gestures, and the image capture and processing module can simultaneously capture the gestures of the subjects to judge visual test status. In this study, twenty subjects were tested and all obtained the correct VA value and wore excellent eye glasses. The characteristic of this innovative method is that the subjects with a speech disorder can use simple hand gestures to complete the visual exam through the image capture and processing module during the inspection. © 2022 IEEE.

关键词： Color

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：