检索结果-内蒙古大学图书馆

Effect of different knee protheses on functional mobility assessed using an inertial sensor

Gait & Posture 2023年 106卷 S143-S144页

作者： Trindade, Andrei M.V. Cordeiro, Lorraine B. Silva, Bruno O. Ribeiro, Pedro A.S. Toledo, Roberta C. Cardoso, Deborah C.D.S. Torres, Marcelo R. Araújo, Helder R.D.S. Borges, Rodolfo P. Oliveira, Claudia Evangelical University of Goiás- UniEVANGÉLICA Postgraduate Program Anápolis Brazil State Center for Rehabilitation and Readaptation Rehabilitation Goiânia Brazil Evangelical University of Goiás- UniEVANGÉLICA Graduate Course in Physiotherapy Anápolis Brazil Evangelical University of Goiás- UniEVANGÉLICA Graduate Course in Software engineering Anápolis Brazil School of Medical Sciences- Santa Casa de São Paulo Health Sciences Program São Paulo Brazil

IntroductionKnee arthrosis is a progressive, disabling, degenerative, musculoskeletal condition in patients with an advanced age.1,2 The aim of total knee arthroplasty (TKA) is to relieve pain and rehabilitate function with the use of different types of prostheses, such as a fixed bearing (FB) prosthesis and mobile bearing (MB) prosthesis, which enables greater joint mobility.3 Spatiotemporal gait variables and functional mobility are altered in older people compared to younger people and such alterations are aggravated by the progression of knee arthrosis.4 Research questionDiferentes tipos de próteses para o tratamento da artrose do joelho influenciam nas variáveis da marcha e mobilidade funcional? MethodsFifty-four subjects who underwent unilateral knee arthroplasty for the treatment of advanced knee arthrosis were selected. The assessment of functional mobility was performed using the Timed Up and Go (TUG) Test with an inertial sensor (G-sensor, BTS Bioengineering) to quantify the time in seconds required for the individual to perform the task of standing up from a standard chair without arm support, walking three meters, turning around, going back to the chair and sitting down again. ResultsThe normality of the data was determined using the Kolmogorov-Smirnov test, which demonstrated non-normal distribution. Thus, the Mann-Whitney test was used for the comparison of prosthesis type (FB vs. MB) and TUG test variables. The effect size of variables with statistically significant differences between groups was also determined. The SPSS program (v.19, IBM) was used for all statistical tests. The median postoperative time was 14.5 months (p > 0.05). Table 1 shows the median and p-values for the TUG test variables between groups. Interestingly, the only variables with significant differences were those related to turns. Although the participants with MB executed the TUG test faster than those with FB (i.e., sit-to-stand and stand-to-sit phases), no significant differe

关键词：

来源：评论

学校读者我要写书评

暂无评论

Technical debt and agile software development practices and processes: An industry practitioner survey

arXiv

引用

arXiv 2021年

作者： Holvitie, Johannes Licorish, Sherlock A. Spínola, Rodrigo O. Hyrynsalmi, Sami MacDonell, Stephen G. Mendes, Thiago S. Buchan, Jim Leppänen, Ville Turku Centre for Computer Science Software Development Laboratory Turku Finland University of Turku Department of Information Technology Turku Finland University of Otago Department of Information Science Otago Dunedin New Zealand Salvador University Graduate Program in Systems and Computer Bahia Salvador Brazil Federal University of Bahia Fraunhofer Project Center for Software and System Engineering Salvador Brazil Tampere University of Technology Pori Campus Pori Finland Federal Institute of Bahia Information Technology Department Bahia Santo Amaro Brazil Auckland University of Technology School of Engineering Computer and Mathematical Sciences Auckland New Zealand

Context: Contemporary software development is typically conducted in dynamic, resource-scarce environments that are prone to the accumulation of technical debt. While this general phenomenon is acknowledged, what remains unknown is how technical debt specifically manifests in and affects software processes, and how the software development techniques employed accommodate or mitigate the presence of this debt. Objectives: We sought to draw on practitioner insights and experiences in order to classify the effects of agile method use on technical debt management, given the popularity and perceived success of agile methods. We explore the breadth of practitioners' knowledge about technical debt;how technical debt is manifested across the software process;and the perceived effects of common agile software development practices and processes on technical debt. In doing so, we address a research gap in technical debt knowledge and provide novel and actionable managerial recommendations. Method: We designed, tested and executed a multi-national survey questionnaire to address our objectives, receiving 184 responses from practitioners in Brazil, Finland, and New Zealand. Results: Our findings indicate that: 1) Practitioners are aware of technical debt, although, there was under utilization of the concept, 2) Technical debt commonly resides in legacy systems, however, concrete instances of technical debt are hard to conceptualize which makes it problematic to manage, 3) Queried agile practices and processes help to reduce technical debt;in particular, techniques that verify and maintain the structure and clarity of implemented artifacts (e.g., Coding standards and Refactoring) positively affect technical debt management. Conclusions: The fact that technical debt instances tend to have characteristics in common means that a systematic approach to its management is feasible. However, notwithstanding the positive effects of some agile practices on technical debt management, comp

关键词： Legacy systems

来源：评论

学校读者我要写书评

暂无评论

Accelerating Real-Time Imaging for Radiotherapy: Leveraging Multi-GPU Training with PyTorch

Accelerating Real-Time Imaging for Radiotherapy: Leveraging ...

引用

International Conference on Machine Learning and Applications (ICMLA)

作者： Ruth Obe Brandt Kaufmann Kaelen Baird Sam Kadel Yasmin Soltani Mostafa Cham Matthias K. Gobbert Carlos A. Barajas Zhuoran Jiang Vijay R. Sharma Lei Ren Stephen W. Peterson Jerimy C. PoIf Dept. of Computer Science and of Software Engineering U. of Houston-Clear Lake USA Dept. of Mathematics and Statistics U. of San Francisco USA Dept. of Computer Science and of Mathematics Skidmore College USA Dept. of Computer Science and of Psychology Mount Holyoke College USA Dept. of Biomedical Engineering U. of Houston USA Dept. of Information Systems U. of Maryland Baltimore County Dept. of Mathematics and Statistics U. of Maryland Baltimore County Medical Physics Graduate Program Duke University USA Dept. of Radiation Oncology U. of Maryland School of Medicine USA Department of Radiation Oncology U. of Maryland School of Medicine USA Dept. of Physics U. of Cape Town South Africa H3D Inc. USA

Proton beam therapy is an advanced form of cancer radiotherapy that uses high-energy proton beams to deliver precise and targeted radiation to tumors. This helps to mit-igate unnecessary radiation exposure in healthy tissues. Real-time imaging of prompt gamma rays with Compton cameras has been suggested to improve therapy efficacy. However, the camera's non-zero time resolution leads to incorrect interaction classifications and noisy images that are insufficient for accurately assessing proton delivery in patients. To address the challenges posed by the Compton camera's image quality, machine learning techniques are employed to classify and refine the generated data. These machine-learning techniques include recurrent and feedforward neural networks. A PyTorch model was designed to improve the data captured by the Compton camera. This decision was driven by PyTorch's flexibility, powerful capabilities in handling sequential data, and enhanced G PU usage. This accelerates the model's computations on large-scale radiotherapy data. Through hyperparameter tuning, the validation accuracy of our PyTorch model has been improved from an initial 7 % to over 60 %. Moreover, the PyTorch Distributed Data Parallelism strategy was used to train the RNN models on multiple G PU s, which significantly reduced the training time with a minor impact on model accuracy.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Understanding automated and human-based technical debt identification approaches-a two-phase study

引用

Journal of the Brazilian Computer Society 2019年第1期25卷 1页

作者： Spínola, Rodrigo O. Zazworka, Nico Vetro, Antonio Shull, Forrest Seaman, Carolyn Graduate Program in Systems and Computer Salvador University State University of Bahia SalvadorBahia Brazil Elsevier Frankfurt Germany Nexa Center for Internet & Society DAUIN Politecnico di Torino Torino Italy Carnegie Mellon University Software Engineering Institute ArlingtonVA United States Department of Information Systems University of Maryland Baltimore County BaltimoreMD United States

Context: The technical debt (TD) concept inspires the development of useful methods and tools that support TD identification and management. However, there is a lack of evidence on how different TD identification tools could be complementary and, also, how human-based identification compares with them. Objective: To understand how to effectively elicit TD from humans, to investigate several types of tools for TD identification, and to understand the developers’ point of view about TD indicators and items reported by tools. Method: We asked developers to identify TD items from a real software project. We also collected the output of three tools to automatically identify TD and compared the results in terms of their locations in the source code. Then, we collected developers’ opinions on the identification process through a focus group. Results: Aggregation seems to be an appropriate way to combine TD reported by developers. The tools used cannot help in identifying many important TD types, so involving humans is necessary. Developers reported that the tools would help them to identify TD faster or more accurately and that project priorities and current development activities are important to be considered together, along with the values of principal and interest, when deciding to pay off a debt. Conclusion: This work contributes to the TD landscape, which depicts an understanding between different TD types and how they are best discovered. © 2019, The Author(s).

关键词： software engineering

来源：评论

学校读者我要写书评

暂无评论

Blockchain technology in finance industry

引用

Transactions of the Korean Institute of Electrical Engineers 2019年第12期68卷 1601-1606页

作者： Youn, Seongwook Cho, Hyun-Chong Dept. of Software Korea National University of Transportation Korea Republic of Dept. of Electronics Engineering Interdisciplinary Graduate Program for BIT Medical Convergence Kangwon National University Korea Republic of

Blockchain is a peer-to-peer public ledger which guarantees the reliability of all the transactional record without a trusted third party. Basically, all the participants in the network create transactional record, examine the validity of the transaction, and keep the valid transactional record. The whole finance industry including banks and fintechs recognizes the value of the blockchain because of its efficiency and secure mechanism. In this paper, we explained the blockchain mechanism by providing its basic principles, strengths and weaknesses. Then, we provided what comes with it in the finance industry. Though there are still a few disadvantages such as persistence, and lack of the standard improvements and modifications in blockchain technology could overcome them and lead to the broader acceptance. Blockchain is definitely a disruptive technology in the financial system. Copyright © The Korean Institute of Electrical Engineers.

关键词： Smart contract

来源：评论

学校读者我要写书评

暂无评论

Towards objective and systematic evaluation of bias in artificial intelligence for medical imaging

arXiv

引用

arXiv 2023年

作者： Stanley, Emma A.M. Souza, Raissa Winder, Anthony J. Gulve, Vedant Amador, Kimberly Wilms, Matthias Forkert, Nils D. Biomedical Engineering Graduate Program University of Calgary CalgaryABT2N 1N4 Canada Department of Radiology University of Calgary CalgaryABT2N 4N1 Canada Hotchkiss Brain Institute University of Calgary CalgaryABT2N 4N1 Canada Alberta Children’s Hospital Research Institute University of Calgary CalgaryABT2N 4N1 Canada Department of Pediatrics University of Calgary CalgaryABT2N 4N1 Canada Department of Community Health Sciences University of Calgary CalgaryABT2N 4N1 Canada Department of Clinical Neuroscience University of Calgary CalgaryABT2N 4N1 Canada Department of Electrical and Software Engineering University of Calgary CalgaryABT2N 1N4 Canada

Objective: Artificial intelligence (AI) models trained using medical images for clinical tasks often exhibit bias in the form of subgroup performance disparities. However, since not all sources of bias in real-world medical imaging data are easily identifiable, it is challenging to comprehensively assess their impacts. In this article, we introduce an analysis framework for systematically and objectively investigating the impact of biases in medical images on AI models. Materials and Methods: Our framework utilizes synthetic neuroimages with known disease effects and sources of bias. We evaluated the impact of bias effects and the efficacy of 3 bias mitigation strategies in counterfactual data scenarios on a convolutional neural network (CNN) classifier. Results: The analysis revealed that training a CNN model on the datasets containing bias effects resulted in expected subgroup performance disparities. Moreover, reweighing was the most successful bias mitigation strategy for this setup. Finally, we demonstrated that explainable AI methods can aid in investigating the manifestation of bias in the model using this framework. Discussion: The value of this framework is showcased in our findings on the impact of bias scenarios and efficacy of bias mitigation in a deep learning model pipeline. This systematic analysis can be easily expanded to conduct further controlled in silico trials in other investigations of bias in medical imaging AI. Conclusion: Our novel methodology for objectively studying bias in medical imaging AI can help support the development of clinical decision-support tools that are robust and responsible. © 2023, CC BY.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

OpenMM 8: Molecular Dynamics Simulation with Machine Learning Potentials

arXiv

引用

arXiv 2023年

作者： Eastman, Peter Galvelis, Raimondas Peláez, Raúl P. Abreu, Charlles R.A. Farr, Stephen E. Gallicchio, Emilio Gorenko, Anton Henry, Michael M. Hu, Frank Huang, Jing Krämer, Andreas Michel, Julien Mitchell, Joshua A. Pande, Vijay S. Rodrigues, João P.G.L.M. Rodriguez-Guerra, Jaime Simmonett, Andrew C. Singh, Sukrit Swails, Jason Turner, Philip Wang, Yuanqing Zhang, Ivy Chodera, John D. De Fabritiis, Gianni Markland, Thomas E. Department of Chemistry Stanford University StanfordCA94305 United States Acellera Labs C Dr Trueta 183 Barcelona08005 Spain C Dr. Aiguader 88 Barcelona08003 Spain Chemical Engineering Department School of Chemistry Federal University of Rio de Janeiro Rio de Janeiro68542 Brazil Redesign Science Inc. 180 Varick St. New YorkNY10014 United States EaStCHEM School of Chemistry University of Edinburgh EH9 3FJ United Kingdom Department of Chemistry and Biochemistry Brooklyn College The City University of New York NY United States Ph.D. Program in Chemistry Ph.D. Program in Biochemistry The Graduate Center of the City University of New York New YorkNY United States Stream HPC Koningin Wilhelminaplein 1 - 40601 Amsterdam1062 HG Netherlands Computational and Systems Biology Program Sloan Kettering Institute Memorial Sloan Kettering Cancer Center New YorkNY10065 United States Key Laboratory of Structural Biology of Zhejiang Province School of Life Sciences Westlake University 18 Shilongshan Road Zhejiang Hangzhou310024 China Department of Mathematics and Computer Science Freie Universität Berlin Arnimallee 12 Berlin14195 Germany The Open Force Field Initiative Open Molecular Software Foundation DavisCA95616 United States Andreessen Horowitz 2865 Sand Hill Rd Menlo ParkCA94025 United States Department of Structural Biology Stanford University StanfordCA94305 United States Charité Universitätsmedizin Berlin In silico Toxicology and Structural Bioinformatics Virchowweg 6 Berlin10117 Germany Laboratory of Computational Biology National Heart Lung and Blood Institute National Institutes of Health BethesdaMD20892 United States Entos Inc. 9310 Athena Circle La Jolla CA92037 United States College of Engineering Virginia Polytechnic Institute State University BlacksburgVA24061 United States Simons Center for Computational Physical Chemistry Center for Data Science New York University 24 Waverly Place New YorkNY10004 United States T

Machine learning plays an important and growing role in molecular simulation. The newest version of the OpenMM molecular dynamics toolkit introduces new features to support the use of machine learning potentials. Arbitrary PyTorch models can be added to a simulation and used to compute forces and energy. A higher-level interface allows users to easily model their molecules of interest with general purpose, pretrained potential functions. A collection of optimized CUDA kernels and custom PyTorch operations greatly improves the speed of simulations. We demonstrate these features on simulations of cyclin-dependent kinase 8 (CDK8) and the green fluorescent protein (GFP) chromophore in water. Taken together, these features make it practical to use machine learning to improve the accuracy of simulations at only a modest increase in cost. Copyright © 2023, The Authors. All rights reserved.

关键词： Machine learning

来源：评论

学校读者我要写书评

暂无评论

Identification of Pre-University Factors that Affect the Initial Motivation of Students in Computing programs: A multi-institutional case study 48

Identification of Pre-University Factors that Affect the Ini...

引用

48th Frontiers in Education Conference, FIE 2018

作者： Schoeffel, Pablo Wazlawick, Raul Sidnei Ramos, Vinicius Faria Culmant Vahldick, Adilson Souza, Marcelo De Graduate Program in Computer Science Federal University of Santa Catarina Florianópolis Brazil Department of Information and Communication Technologies Federal University of Santa Catarina Araranguá Brazil Departament of Software Engineering University of Santa Catarina State Ibirama Brazil

ISBN: (纸本)9781538611739

This Research to Practice Paper presents the results of the evaluation of pre-university factors that impact the initial motivation of undergraduate students in computing. Although there are studies in the literature that have investigated some previous factors, this paper replicates a previous work that aims to consolidate several pre-university factors and, as the main differential, uses the AMS (Academic Motivation Scale), a scale already consolidated in the literature to measure students' initial motivation, and evaluate the relation between motivation and candidate factors. We applied a questionnaire to 159 students from different computing programs in ten universities, which evaluates 20 factors divided into 4 groups: personal and demographic data, taste and knowledge of the program and area, computing experience, and school performance. To evaluate the correlation between factors and motivation, we used Spearman's coefficient, t-student test, and ANOVA to evaluate the correlation between factors and motivation. As main results, we found significant variation in the initial motivation according to following factors: taste for programming and technology, knowledge about the undergraduate program content, correct perception about computing professionals, knowledge and experience in computer programming, and general school performance. © 2018 IEEE.

关键词： Motivation

来源：评论

学校读者我要写书评

暂无评论

Evaluation of an Instrument to Identify Factors that Impact the Motivation and Engagement of Undergraduate Students in Computing 48

Evaluation of an Instrument to Identify Factors that Impact ...

引用

48th Frontiers in Education Conference, FIE 2018

ISBN: (纸本)9781538611739

This Research Paper presents the evaluation of an instrument to identify the impact of motivation and engagement factors in undergraduate students in computing. Although researches indicate a direct impact of motivation and engagement on student performance and retention, few studies have been found that address which factors are relevant in this process. The instrument is a questionnaire based on the compilation of several works of the literature containing 48 items divided into 6 groups: personal and demographic data, general perception about motivation, perception about the university, student behavior, perception about program and perception about classes/teachers. The questionnaire evaluation is based on a case study with 112 undergraduate students in software engineering. As a result, we found that the questionnaire can be considered reliable (Cronbach's alpha = 8904). Considering the validity of constructs, we found an acceptable degree of correlation between the most pair of items in each group (averaging 63%). We also found that the item-total correlation coefficient was only not adequate for one factor group, indicating satisfactory correlation for all other items. Finally, we found that the number of factors is coherent, but there are several items from different groups strongly correlated, indicating the need for a reorganization. © 2018 IEEE.

关键词： Students

来源：评论

学校读者我要写书评

暂无评论

Evaluation of Adherence to the Model Six Sigma Using Paraconsistent Logic

Evaluation of Adherence to the Model Six Sigma Using Paracon...

引用

2018 IEEE International Conference on Innovations in Intelligent Systems and Applications, INISTA 2018

作者： Kirilo, Caique Z. Abe, Jair M. Nogueira, Marcelo Nakamatsu, Kazumi Lozano, Luiz Carlos MacHi De Lima, Luiz A. Software Engineering Research Group Paulista University UNIP São Paulo Brazil Graduate Program in Production Engineering Paulista University UNIP São Paulo Brazil ALGORITMI Centre School of Engineering University of Minho Guimarães Portugal School of Human Science and Environment H.S.E University of Hyogo Hyogo Japan

This study aims to present a compliance analysis tool to Six Sigma by integrating indicative of success and Paraconsistent Method Decision. This way is contributing to a previous scenario analysis that can help the im... 详细信息

ISBN: (纸本)9781538651506

关键词： Six sigma

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：