scholarly journals Real-time monitoring of mechanical cues in the regenerative niche reveal dynamic strain magnitudes that enhance bone repair

2019 ◽  
Author(s):  
Brett S. Klosterhoff ◽  
Jarred Kaiser ◽  
Bradley D. Nelson ◽  
Salil S. Karipott ◽  
Marissa A. Ruehle ◽  
...  
Keyword(s):  
Real Time ◽  
Bone Repair ◽  
The Body ◽  
Dynamic Strain ◽  
Strain Sensing ◽  
The Status ◽  
Fixation Plate ◽  
Measured Strain ◽  
Segmental Bone ◽  
Healing Assessment

AbstractMechanical loads exerted on the skeleton during activities such as walking are important regulators of bone repair, but dynamic biomechanical signals are difficult to measure inside the body. The inability to measure the mechanical environment in injured tissues is a significant barrier to developing integrative regenerative and rehabilitative strategies that can accelerate recovery from fracture, segmental bone loss, and spinal fusion. Here we engineered an implantable strain sensor platform and measured strain across a bone defect in real-time throughout rehabilitation. We used the sensor to longitudinally quantify mechanical cues imparted by a load-sharing fixation plate that significantly enhanced bone regeneration in rats. We found that sensor readings correlated with the status of healing, suggesting a potential role for strain sensing as an X-ray-free healing assessment platform. This study demonstrates a promising approach to quantitatively develop and exploit mechanical rehabilitation strategies that enhance bone repair.

scholarly journals Real-time dynamic strain sensing in optical fibers using artificial neural networks

2019 ◽  
Vol 27 (5) ◽  
pp. 7405 ◽  
Author(s):  
Sascha Liehr ◽  
Lena Ann Jäger ◽  
Christos Karapanagiotis ◽  
Sven Münzenberger ◽  
Stefan Kowarik
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Real Time ◽  
Optical Fibers ◽  
Dynamic Strain ◽  
Strain Sensing ◽  
Time Dynamic ◽  
Artificial Neural

Cinema and the Haptic in Modern Japan

Screen Bodies ◽  
2018 ◽  
Vol 3 (1) ◽  
pp. 23-36
Author(s):  
Daisuke Miyao
Keyword(s):  
The Body ◽  
Film Culture ◽  
Visual Medium ◽  
German Cinema ◽  
The Status ◽  
The Senses ◽  
Modern Japan

The process of modernization in Japan appeared as a separation of the senses and remapping of the body, particularly privileging the sense of vision. How did the filmmakers, critics, and novelists in the 1920s and 1930s respond to such a reorganization of the body and the elevation of vision in the context of film culture? How did they formulate a cinematic discourse on remapping the body when the status of cinema was still in flux and its definition was debated? Focusing on cinematic commentary made by different writers, this article tackles these questions. Sato Haruo, Ozu Yasujiro, and Iwasaki Akira questioned the separation of the senses, which was often enforced by state. Inspired by German cinema released in Japan at that time, they explored the notion of the haptic in cinema and problematized the privileged sense of vision in this new visual medium.

scholarly journals IoT-enabled directed acyclic graph in spark cluster

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Jahwan Koo ◽  
Nawab Muhammad Faseeh Qureshi ◽  
Isma Farah Siddiqui ◽  
Asad Abbas ◽  
Ali Kashif Bashir
Keyword(s):  
Distributed Computing ◽  
Real Time ◽  
Directed Acyclic Graph ◽  
Random Access ◽  
Heterogeneous Data ◽  
The Body ◽  
Computing Environment ◽  
Time Data ◽  
Acyclic Graph ◽  
Sensory Data

Abstract Real-time data streaming fetches live sensory segments of the dataset in the heterogeneous distributed computing environment. This process assembles data chunks at a rapid encapsulation rate through a streaming technique that bundles sensor segments into multiple micro-batches and extracts into a repository, respectively. Recently, the acquisition process is enhanced with an additional feature of exchanging IoT devices’ dataset comprised of two components: (i) sensory data and (ii) metadata. The body of sensory data includes record information, and the metadata part consists of logs, heterogeneous events, and routing path tables to transmit micro-batch streams into the repository. Real-time acquisition procedure uses the Directed Acyclic Graph (DAG) to extract live query outcomes from in-place micro-batches through MapReduce stages and returns a result set. However, few bottlenecks affect the performance during the execution process, such as (i) homogeneous micro-batches formation only, (ii) complexity of dataset diversification, (iii) heterogeneous data tuples processing, and (iv) linear DAG workflow only. As a result, it produces huge processing latency and the additional cost of extracting event-enabled IoT datasets. Thus, the Spark cluster that processes Resilient Distributed Dataset (RDD) in a fast-pace using Random access memory (RAM) defies expected robustness in processing IoT streams in the distributed computing environment. This paper presents an IoT-enabled Directed Acyclic Graph (I-DAG) technique that labels micro-batches at the stage of building a stream event and arranges stream elements with event labels. In the next step, heterogeneous stream events are processed through the I-DAG workflow, which has non-linear DAG operation for extracting queries’ results in a Spark cluster. The performance evaluation shows that I-DAG resolves homogeneous IoT-enabled stream event issues and provides an effective stream event heterogeneous solution for IoT-enabled datasets in spark clusters.

scholarly journals Links between Inflammation and Postoperative Cancer Recurrence

2021 ◽  
Vol 10 (2) ◽  
pp. 228
Author(s):  
Tomonari Kinoshita ◽  
Taichiro Goto
Keyword(s):  
Clinical Practice ◽  
Cancer Cells ◽  
Cancer Recurrence ◽  
Complete Resection ◽  
The Body ◽  
Cancer Development ◽  
Clinical Settings ◽  
Cancer Type ◽  
Clinical Indicators ◽  
The Status

Despite complete resection, cancer recurrence frequently occurs in clinical practice. This indicates that cancer cells had already metastasized from their organ of origin at the time of resection or had circulated throughout the body via the lymphatic and vascular systems. To obtain this potential for metastasis, cancer cells must undergo essential and intrinsic processes that are supported by the tumor microenvironment. Cancer-associated inflammation may be engaged in cancer development, progression, and metastasis. Despite numerous reports detailing the interplays between cancer and its microenvironment via the inflammatory network, the status of cancer-associated inflammation remains difficult to recognize in clinical settings. In the current paper, we reviewed clinical reports on the relevance between inflammation and cancer recurrence after surgical resection, focusing on inflammatory indicators and cancer recurrence predictors according to cancer type and clinical indicators.

scholarly journals Investigation on Wireless Link for Medical Telemetry Including Impedance Matching of Implanted Antennas

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1431
Author(s):  
Ilkyu Kim ◽  
Sun-Gyu Lee ◽  
Yong-Hyun Nam ◽  
Jeong-Hae Lee
Keyword(s):  
Real Time ◽  
Human Body ◽  
Near Field ◽  
Impedance Matching ◽  
The Body ◽  
Field Pattern ◽  
Communication Link ◽  
Far Field ◽  
Antenna Coupling ◽  
Medical Telemetry

The development of biomedical devices benefits patients by offering real-time healthcare. In particular, pacemakers have gained a great deal of attention because they offer opportunities for monitoring the patient’s vitals and biological statics in real time. One of the important factors in realizing real-time body-centric sensing is to establish a robust wireless communication link among the medical devices. In this paper, radio transmission and the optimal characteristics for impedance matching the medical telemetry of an implant are investigated. For radio transmission, an integral coupling formula based on 3D vector far-field patterns was firstly applied to compute the antenna coupling between two antennas placed inside and outside of the body. The formula provides the capability for computing the antenna coupling in the near-field and far-field region. In order to include the effects of human implantation, the far-field pattern was characterized taking into account a sphere enclosing an antenna made of human tissue. Furthermore, the characteristics of impedance matching inside the human body were studied by means of inherent wave impedances of electrical and magnetic dipoles. Here, we demonstrate that the implantation of a magnetic dipole is advantageous because it provides similar impedance characteristics to those of the human body.

Study and Comparison of Vibration-Based Intrusive and Non-Intrusive Sand Monitoring System

2013 ◽  
Vol 701 ◽  
pp. 440-444
Author(s):  
Gang Liu ◽  
Peng Tao Liu ◽  
Bao Sheng He
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Oil Production ◽  
Oil Wells ◽  
Oil Field ◽  
Sand Production ◽  
The Status

Sand production is a serious problem during the exploitation of oil wells, and people put forward the concept of limited sand to alleviate this problem. Oil production with limited sanding is an efficient mod of production. In order to complete limited sand exploitation, improve the productivity of oil wells, a real-time sand monitoring system is needed to monitor the status of wells production. Besides acoustic sand monitoring and erosion-based sand monitoring, a vibration-based sand monitoring system with two installing styles is proposed recently. The paper points out the relationships between sand monitoring signals collected under intrusive and non-intrusive installing styles and sanding parameters, which lays a good foundation for further study and actual sand monitoring in oil field.

scholarly journals Deep Learning-Based Cattle Vocal Classification Model and Real-Time Livestock Monitoring System with Noise Filtering

Animals ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 357
Author(s):  
Dae-Hyun Jung ◽  
Na Yeon Kim ◽  
Sang Ho Moon ◽  
Changho Jhin ◽  
Hak-Jin Kim ◽  
...  
Keyword(s):  
Deep Learning ◽  
Real Time ◽  
Model Development ◽  
Classification Model ◽  
Intelligence Analysis ◽  
Noise Filtering ◽  
Meat Industry ◽  
Mel Frequency Cepstral Coefficients ◽  
Web Based ◽  
The Status

The priority placed on animal welfare in the meat industry is increasing the importance of understanding livestock behavior. In this study, we developed a web-based monitoring and recording system based on artificial intelligence analysis for the classification of cattle sounds. The deep learning classification model of the system is a convolutional neural network (CNN) model that takes voice information converted to Mel-frequency cepstral coefficients (MFCCs) as input. The CNN model first achieved an accuracy of 91.38% in recognizing cattle sounds. Further, short-time Fourier transform-based noise filtering was applied to remove background noise, improving the classification model accuracy to 94.18%. Categorized cattle voices were then classified into four classes, and a total of 897 classification records were acquired for the classification model development. A final accuracy of 81.96% was obtained for the model. Our proposed web-based platform that provides information obtained from a total of 12 sound sensors provides cattle vocalization monitoring in real time, enabling farm owners to determine the status of their cattle.

Study of the main problems of delivery of orthopedic care in dentistry

2020 ◽  
pp. 47-53
Author(s):  
Valentina Sevagina ◽  
Sofiya Botsarova ◽  
Tatiyana Goncharova ◽  
Anastasiya Mikhlyaeva
Keyword(s):  
Dental Care ◽  
Dental Health ◽  
Poor Quality ◽  
The Body ◽  
Special Role ◽  
The Status ◽  
Quality Of Delivery ◽  
Orthopedic Care ◽  
Denture Treatment

The purpose of the article is to conduct a study of the main problems of delivery of orthopedic care in dentistry. It is known that dental health determines the overall health of the body. The comfort of life of the population depends on their condition, since damaged teeth negatively affect the state of the digestive system and respiratory organs. As for the aesthetics of the appearance, here teeth have a special role, since they are able to provide both proper speech and the necessary level of human sociability. Thus, improving the quality of delivery of medical care is an important task for the industry today. The problem of the availability of orthopedic dentists exists only in those areas of the region where there is no orthopedic care encounters at all, or orthopedic care encounters are carried out by part-time doctors. Accordingly, it can be said that municipal dental clinics are generally provided with the necessary personnel. In this regard, one can talk about the need to improve the quality of treatment of dental diseases in polyclinics, primarily in terms of orthopedic care for the population. However, today there are frequent cases of return visits for orthopedic care due to its poor-quality during initial treatment. And the doctor’s task during second denture treatment is to avoid mistakes made earlier and to provide competent and highquality orthopedic services. The author concludes that the results of a study of the work of orthopedic units of the region showed a steady growth of most indicators year by year, but a number of economic problems were found during the analysis of the profitability reserves of orthopedic dental care. So, it is necessary to create a unified system for calculating the financial plan for the correct assessment of the status of orthopedic dental care for the population, to analyze the quality indicators for subsidized denture treatment, to introduce the concept of “prosthesis working lifespan”, which will establish the reasons and justify the terms of the second denture treatment.

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