检索结果-内蒙古大学图书馆

Effect of thigh muscle strength training through telerehabilitation in volunteers with low back pain. A controlled and randomized clinical trial

引用

Journal of Bodywork and Movement Therapies 2025年 43卷 28-34页

作者： Abdala, Dennis William Castro, Thais Costa, Willian dos Santos da Alves Silveira, Bruno Silva, Gabriel João de Almeida Fonseca, Natália da Silva Martins Simão, Adriano Prado Carvalho, Leonardo César Graduate Program Program in Biosciences Applied to Health Federal University of Alfenas Alfenas Brazil Motor Science Institute Federal University of Alfenas Alfenas Brazil Rehabilitation Science Graduate Program Federal University of Alfenas Alfenas Brazil Graduate Program in Statistics Applied to Biometrics Federal University of Alfenas Alfenas Brazil

Background: Low back pain (LBP) is a clinical condition with a high global incidence that significantly impacts the quality of life, including psychological, physical, and social aspects. It commonly leads to an impairment in muscle strength and activation. Research question: The aim of the study was to assess the short-term effects of thigh muscle strength training conducted via telerehabilitation and in-person in patients with self-reported LBP. Methods: The telerehabilitation and control groups completed 10 strength training sessions, five times a week. Both groups were evaluated for electromyographic parameters, maximal isometric voluntary contraction (MIVC), and the number of maximum repetitions of knee flexion-extension movements. Results: Telerehabilitation increased the recruitment of the right rectus femoris (p < 0.05). It improved the maximum repetition capacity for the left knee extension (p < 0.01) movement and for the right and left knee flexion(p < 0.05);however, it was able to reduce the MIVC right and left knee flexion (p < 0.05). Conclusion: Telerehabilitation was able to increase the recruitment of the right biceps femoris muscles and maintain the recruitment of the right and left rectus femoris;improve the maximum repetition capacity for left knee extension and of both the right and left knees flexion movement. However, it could not increase the MVIC after the training period. © 2025 Elsevier Ltd

关键词： Exercise Therapy Low back pain Telerehabilitation

来源：评论

学校读者我要写书评

暂无评论

Different Performances of Machine Learning Models to Classify Dysphonic and Non-Dysphonic Voices

引用

Journal of Voice 2025年第3期39卷 577-590页

作者： Leite, Danilo Rangel Arruda de Moraes, Ronei Marcos Lopes, Leonardo Wanderley Department of Statistics Graduate Program in Health Decision Models Universidade Federal da Paraíba – UFPB Paraíba João Pessoa Brazil Brazilian Hospital Services Company- Ebserh Universidade Federal da Paraíba – UFPB Paraíba João Pessoa Brazil Department of Statistics Universidade Federal da Paraíba – UFPB Paraíba João Pessoa Brazil Department of Speech-Language and Hearing Sciences Graduate Program in Linguistics Universidade Federal da Paraíba – UFPB Paraíba João Pessoa Brazil

Objective: To analyze the performance of 10 different machine learning (ML) classifiers for discrimination between dysphonic and non-dysphonic voices, using a variance threshold as a method for the selection and reduction of acoustic measurements used in the classifier. Method: We analyzed 435 samples of individuals (337 female and 98 male), with a mean age of 41.07 ± 13.73 years, of which 384 were dysphonic and 51 were non-dysphonic. From the sustained /ε/ vowel sample, 34 acoustic measurements were extracted, including traditional perturbation and noise measurements, cepstral/spectral measurements, and measurements based on nonlinear models. The variance method was used to select the best set of acoustic measurements. We tested the performance of the best-selected set with 10 ML classifiers using precision, sensitivity, specificity, accuracy, and F1-Score measurements. The kappa coefficient was used to verify the reproducibility between the two datasets (training and testing). Results: The naive Bayes (NB) and stochastic gradient descent classifier (SGDC) models performed best in terms of accuracy, AUC, sensitivity, and specificity for a reduced dataset of 15 acoustic measures compared to the full dataset of 34 acoustic measures. SGDC and NB obtained the best performance results, with an accuracy of 0.91 and 0.76, respectively. These two classifiers presented moderate agreement, with a Kappa of 0.57 (SGDC) and 0.45 (NB). Conclusion: Among the tested models, the NB and SGDC models performed better in discriminating between dysphonic and non-dysphonic voices from a set of 15 acoustic measures. © 2022 The Voice Foundation

关键词： Acoustic Artificial intelligence Machine learning Voice Voice disorders

来源：评论

学校读者我要写书评

暂无评论

Fear of COVID-19, physical activity practice and chronic pain symptoms in the postvaccination period

引用

Journal of Bodywork and Movement Therapies 2025年 43卷 324-330页

作者： Faria, Suelen Carla Souza de Andrade, Eric Francelino Lunkes, Luciana Crepaldi Lima, Renato Ribeiro de Pereira, Luciano José Health Sciences Graduate Program Federal University of Lavras (UFLA) Lavras Brazil Department of Medicine Federal University of Lavras (UFLA) Lavras Brazil Department of Physiotherapy University Center of Lavras (UNILAVRAS) Lavras Brazil Department of Statistics Federal University of Lavras (UFLA) Lavras Brazil

Background and purpose: During the COVID-19 pandemic, restricted access to elective health services significantly affected individuals with chronic pain. Thus, we aimed to assess the connection between fear of COVID-19, physical activity levels, and the persistence of chronic pain post-vaccination period. Methods: Conducted from December 2021 to June 2022, this cross-sectional observational study involved 507 participants, primarily females (54.4 %), aged 30–60 years (58.6 %), with 42.8 % reporting chronic pain. Participants completed an online questionnaire, including translated versions of the Fear of COVID-19 Scale, Global Physical Activity Questionnaire (GPAQ), and the ImpactQ questionnaire designed for chronic pain assessment during the pandemic. Results: ImpactQ scores were notably lower in participants with chronic pain (p < 0.01), indicating a greater pandemic impact, with no sex-related interaction. Women exhibited significantly higher Fear of COVID-19 Scale scores (indicating more fear) than men (p < 0.01), irrespective of chronic pain. There was a significant negative correlation (R = − 0.231 ep < 0.001) between the ImpactQ score and Fear of COVID-19 Scale score;the higher the Fear of COVID-19 Scale score was, the lower the ImpactQ score (which denoted a greater impact of the pandemic on patients with chronic pain). No association was found between physical activity levels and chronic pain presence (p > 0.05) during work, commuting, or recreational activities assessed by GPAQ. Conclusion: Even with the implementation of vaccines against COVID-19, individuals suffering from chronic pain continue to experience a substantial impact of the pandemic, especially women who still experience high fear of COVID-19. © 2025 Elsevier Ltd

关键词： Chronic pain COVID-19 Fear Physical activity Post-pandemic

来源：评论

学校读者我要写书评

暂无评论

A Parallel JPEG Pleno Baseline Block-Based Profile Light Field Encoder Using OpenMP

A Parallel JPEG Pleno Baseline Block-Based Profile Light Fie...

引用

IEEE Latin American Symposium on Circuits and Systems (LASCAS)

作者： Ismael Seidel André Filipe da Silva Fernandes José Luis Güntzel Dept. of Computer Science and Statistics (INE) Embedded Computing Lab. (ECL) Computer Science Graduate Program (PPGCC) Federal University of Santa Catarina (UFSC) Florianópolis Brazil

ISBN: (数字)9798331522124

ISBN: (纸本)9798331522131

Light Fields (LFs) are a plenoptic image modality that provides more information on light rays, making them an excellent representation for immersive media. To compress such a modality, the Joint Photographic Experts Group (JPEG) committee created the JPEG Pleno Part 2 standard with two profiles. This work focuses on the reference encoder implementation for the Baseline Block-Based Profile (BBBP), called JPEG Pleno Model (JPLM). Our main contribution lies in the proposal and analysis of a parallel implementation of JPLM using OpenMP. We show that it is possible to accelerate encoding from nearly 2 to 10 times when using 2 to 16 threads, with a memory overhead ranging from 15% up to 78%, depending on the LF size. Moreover, the speedup comes with no cost in terms of coding efficiency, i.e., the LFs encoded with the proposed parallel version are bit-exact matches to ones encoded with the sequential version.

关键词： Costs Instruction sets Transform coding Transforms Encoding Light fields Software Decoding Proposals Standards

来源：评论

学校读者我要写书评

暂无评论

Enhanced Performance and Data Privacy in Lung Nodule Classification via Federated Deep Learning Approach 24

Enhanced Performance and Data Privacy in Lung Nodule Classif...

引用

2024 7th International Conference on Healthcare Service Management, ICHSM 2024

作者： Nguyen, Duc-Khanh Li, Ai-Hsien Adam Lai, Yen-Jun Chiu, Yen-Ling Phan, Dinh-Van Chien, Ting-Ying Chan, Chien-Lung Department of Information Management Yuan Ze University Taoyuan Taiwan Department of Statistics and Informatics University of Economics The University of Danang Danang Viet Nam Division of Cardiology Far Eastern Memorial Hospital New Taipei Taiwan Graduate Program in Biomedical Informatics Yuan Ze University Taoyuan Taiwan Department of Radiology Far Eastern Memorial Hospital New Taipei Taiwan Graduate Institute of Medicine and Graduate Program in Biomedical Informatics Yuan Ze University Taoyuan Taiwan Department of Medical Research Far Eastern Memorial Hospital New Taipei Taiwan Department of Computer Science and Engineering Yuan Ze University Taoyuan Taiwan ZDT Group- YZU Joint Research and Development Center for Big Data Taoyuan Taiwan Yuan Ze University Taoyuan Taiwan

ISBN: (纸本)9798400710162

This study explores the feasibility of deep learning for classifying nodule neoplasms, analyzing their performance on two openly available datasets, LUNGx SPIE, and LIDC-IDRI. These datasets offer valuable diversity in image quantity, quality, and malignancy annotation methodologies, posing a real-world challenge for effective model development. To handle the disparities in these diverse datasets, we aim to develop a robust classification model trained using federated learning. This decentralized approach allows model training across datasets without sharing patient data, preserving privacy and overcoming data fragmentation. Our experiments demonstrate that federated learning enables the development of a robust and superior deep learning model compared to individual models trained on limited data. This combination of deep learning, and federated learning holds immense promise for nodule neoplasm classification and can significantly improve patient care and outcomes. © 2024 Copyright held by the owner/author(s).

关键词： Federated learning

来源：评论

学校读者我要写书评

暂无评论

A Clinical Trial of 38% Silver Diamine Fluoride With Light Curing in Arresting Dentine Caries in Primary Teeth

引用

International Dental Journal 2025年第3期75卷 2084-2092页

作者： Min, Saw Nay Duangthip, Duangporn Phyo, Win Myat Somboonsavatdee, Anupap Samaranayake, Lakshman Detsomboonrat, Palinee Postdoctoral Fellowship Department of Community Dentistry Faculty of Dentistry Chulalongkorn University Bangkok Thailand College of Dentistry The Ohio State University Columbus OH United States International Graduate Program in Dental Public Health Department of Community Dentistry Faculty of Dentistry Chulalongkorn University Bangkok Thailand Department of Statistics Chulalongkorn Business School Chulalongkorn University Bangkok Thailand Faculty of Dentistry Chulalongkorn University Bangkok Thailand Faculty of Dentistry The University of Hong Kong Hong Kong China Department of Community Dentistry Faculty of Dentistry Chulalongkorn University Bangkok Thailand

Objective: This study aimed to compare the effectiveness of semi-annual application of 38% silver diamine fluoride (SDF) with and without light curing in arresting dentine caries in primary teeth. Methods: Children aged 5-7 years with at least 1 active dentine carious lesion were randomly allocated into: Group 1 (38% SDF with light curing: applied SDF for 10 seconds and exposed to LED light for 20 seconds) and Group 2 (38% SDF without light curing: applied SDF for 10 seconds and isolated for 20 seconds). Both interventions were repeated every 6 months. At the baseline, demographic data, oral health-related behaviors and clinical parameters of the children were collected. The activity of carious lesion was assessed using the visual-tactile method and adverse effects, if any, were recorded at both 6-month and 12-month follow-up periods by the same examiner. Intention-to-treat analysis was employed to analyze the data. Results: At baseline, 40 children (218 lesions) and 37 children (261 lesions) were recruited into Group 1 and Group 2. There were no significant differences between the 2 groups in terms of demographic data, oral health-related behaviors, and clinical parameters of the children at baseline (P > .05). After 12 months, 66 out of 77 children (85.74%) remained in the study. There was no significant difference in caries arrest rate between Group 1 (74.8%) and Group 2 (69.0%) with P = .161. Conclusion: The semi-annual application of 38% SDF with or without light curing is equally effective in arresting dentine carious lesions in primary teeth. The addition of light curing to SDF-treated teeth has no significant effect in arresting dental caries in primary teeth. © 2025 The Authors

关键词： Children Dental caries Light curing Primary teeth Silver diamine fluoride

来源：评论

学校读者我要写书评

暂无评论

Drought propagation in an Andean basin in South America: a spatio-temporal analysis approach with monitoring indices

引用

Arabian Journal of Geosciences 2025年第3期18卷 1-21页

作者： Ocampo-Marulanda, Camilo Mera-Franco, Julián David Lizcano, Víctor Augusto Carvajal-Escobar, Yesid Canchala, Teresita Zorrilla-Millan, Daniel Felipe Caicedo-Bravo, Eduardo Water Resources Engineering and Soil Research Group (IREHISA) School of Natural Resources and Environmental Engineering Universidad del Valle Cali Colombia Graduate Program in Biometrics and Applied Statistics Department of Statistics and Informatics Federal Rural University of Pernambuco Recife Brazil School of Exact Sciences and Engineering Universidad Sergio Arboleda Bogotá Colombia Programa de Ingeniería Ambiental Facultad de Ingeniería Universidad Mariana Pasto Colombia School of Electrical and Electronic Engineering Universidad del Valle Cali Colombia

Drought is a climatic phenomenon that has increased in severity over time. This study analyzed drought spread in the Alto Patía basin (13,047 km2) in South America, applying the Standardized Precipitation Index (SPI), Vegetation Health Index (VHI), and Streamflow Drought Index (SDI) to assess meteorological, agricultural, and hydrological drought, respectively. Synchronous and asynchronous correlations were estimated, and Wavelet analysis was conducted to verify relationships among drought types. Results show that the lag between drought types varies based on the intensity, temporal continuity, and spatial extent of meteorological drought. A lag of zero months (1–2 months) was observed between meteorological and hydrological drought when moderate (severe) meteorological drought partially (fully) covers the basin. Agricultural drought, however, does not always correspond to meteorological drought during isolated rainfall events. As the first study in Colombia to systematically connect these drought types, this research addresses a gap in understanding how drought impacts progress across systems in regions with complex rainfall patterns. These findings offer critical insights into the interdependencies among drought types, supporting enhanced drought monitoring and early warning systems in similar climatic regions. By identifying specific lags between meteorological and hydrological droughts, this study provides practical guidance for land management, water conservation, and crop planning, offering a foundation for future research on drought resilience strategies.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Efficient Maximum Euclidean Distance Transform Computation in Component Trees Using the Differential Image Foresting Transform

引用

Journal of Mathematical Imaging and Vision 2025年第3期67卷 1-23页

作者： Silva, Dennis J. Miranda, Paulo A. V. Alves, Wonder A. L. Hashimoto, Ronaldo F. Kosinka, Jiří Roerdink, Jos B. T. M. Institute of Mathematics and Statistics University of São Paulo R. do Matão 1010 SP São Paulo05508-090 Brazil Bernoulli Institute for Mathematics Computer Science and Artificial Intelligence University of Groningen Nijenborgh 9 Groningen9747 AG Netherlands Informatics and Knowledge Management Graduate Program Nove de Julho University R. Vergueiro 235/249 SP São Paulo01525-000 Brazil

The distance transform is a crucial technique in binary image processing, assigning the distance to the nearest contour to each foreground pixel. In this extended version of our previous work, we enhance our method for computing the maximum distance transform (DT) value, now utilizing the optimized differential image foresting transform (DIFT) and improved contour extraction processes. These advancements enable more efficient computation of the maximum DT value across all connected components of a grayscale image, significantly reducing computational time by intelligently reusing DIFT trees rooted at contour points (DIFT seeds). Our optimized algorithm now achieves processing speeds that are twice as fast as our previous differential method. The proposed attribute, maximum distance, which measures the thickness of objects within the image, has proven pivotal in different image processing approaches. We showcase this through detailed illustrations of attribute opening, extinction value filters, watershed, and ultimate attribute openings. © The Author(s) 2025.

关键词： Binary images

来源：评论

学校读者我要写书评

暂无评论

Environmental fluctuations and the maintenance of genetic diversity in age or stage-structured populations

引用

BULLETIN OF MATHEMATICAL BIOLOGY 1996年第1期58卷 103-127页

作者： Ellner, S Biomathematics Graduate Program Department of Statistics North Carolina State University Raleigh U.S.A.

The ability of random fluctuations in selection to maintain genetic diversity is greatly increased when generations overlap. This result has been derived previously using genetic models with very special assumptions about the population age structure. Here we explore its robustness in more realistic population models, with very general age structure or physiological structure. For a range of genetic models (haploid, diploid, single and multilocus) we find that the condition for maintaining genetic diversity generalizes almost without change. Genetic diversity is maintained by selection if a product of the form (generation overlap) x (selection intensity) x (variability in the selection regime) is sufficiently large, where the generation overlap is measured in units of Fisher's reproductive value. This conclusion is based on a local evolutionary stability analysis, which differs from the standard ''protected polymorphism'' criterion for the maintenance of genetic diversity. Simulation results match the predictions from the local stability analysis, but not those from the protected polymorphism criterion. The condition obtained here for maintaining genetic diversity requires fitness fluctuations that are substantial but well within the range observed in many studies of natural populations.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Continuous and discrete compartmental models for infectious disease

arXiv

引用

arXiv 2025年

作者： Sousa, Gustavo A. Souza, Diogo L.M. Gabrick, Enrique C. dos Reis, Patrício D.C. Bentivoglio, Lucas E. Batista, Antonio M. Szezech, José D. Department of Physics State University of Ponta Grossa PR Ponta Grossa84030-900 Brazil Graduate Program in Science State University of Ponta Grossa PR Ponta Grossa84030-900 Brazil Institute of Physics University of São Paulo SP São Paulo05315-970 Brazil Department of Mathematics and Statistics State University of Ponta Grossa PR Ponta Grossa84030-900 Brazil

The study of infectious disease propagation is essential for understanding and controlling epidemics. One of the most useful tools for gaining insights into the spread of infectious diseases is mathematical modelling. In terms of mathematical epidemiology, the main models are based on compartments, such as Susceptible–Infected (SI), Susceptible–Infected–Recovered (SIR), and Susceptible–Exposed–Infected–Recovered (SEIR). These models offer mathematical frameworks for representing the proliferation dynamics of various diseases, for instance flu and smallpox. In this work, we explore these models using two distinct mathematical approaches, Cellular Automata (CA) and Ordinary Differential Equations (ODEs). They are able to reproduce the spread dynamics of diseases with their own individuality. CA models incorporate the local interaction among individuals with discrete time and space, while ODEs provide a continuous and simplified view of a disease propagation in large and homogeneous populations. By comparing these two approaches, we find that the shape of the curves of all models is similar for both representations. Although, the growth rates differ between CA and ODE. One of our results is to show that the CA yields a power-law growth, while the ODE growth rate is well-represented by an exponential function. Furthermore, a substantial contribution of our work is using a hyperbolic tangent to fit the initial growth of infected individuals for all the considered models. Our results display a strong correlation between simulated data and adjusted function. We mainly address this successful result by the fact that the hyperbolic function captures both growing: the power-law (when considered the first terms of infinite sums) and combinations of exponential (when the hyperbolic function is written via exponential). Therefore, our work shows that when modelling a disease the choice of mathematical representation is crucial, in particular to model the onset of an epidemic. ©

关键词： Ordinary differential equations

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：