scholarly journals A teleoperation system for micro-invasive brain surgery

2010 ◽  
Vol 1 (4) ◽  
Author(s):  
Rudy Manganelli ◽  
Francesco Chinello ◽  
Alessandro Formaglio ◽  
Domenico Prattichizzo
Keyword(s):  
Controller Design ◽  
General Purpose ◽  
Point Of View ◽  
Control Architecture ◽  
Brain Surgery ◽  
Linear Stage ◽  
Design Issues ◽  
Trade Off ◽  
Teleoperation System ◽  
Task Oriented

AbstractThis paper deals with controller design issues for a neurosurgical teleoperator system. The specific application of interest consists of remotely inserting a linear-stage rigid endoscope into the patient's brain for microinvasive neurosurgery interventions. This work aims at evaluating advantages and drawbacks of using a general-purpose control architecture versus a simpler task-oriented architecture, from a point of view of stability and transparency. Experiments revealed that in spite of its simplicity, the task-oriented design allows an improvement in the trade-off between performance, transparency and stability requirements.

scholarly journals Lessons from the COVID-19 Pandemic on the Use of Artificial Intelligence in Digital Radiology: The Submission of a Survey to Investigate the Opinion of Insiders

Healthcare ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 331
Author(s):  
Daniele Giansanti ◽  
Ivano Rossi ◽  
Lisa Monoscalco
Keyword(s):  
Artificial Intelligence ◽  
General Purpose ◽  
Point Of View ◽  
General Point ◽  
Thoracic Radiography ◽  
Digital Radiology ◽  
Electronic Survey ◽  
Radiology Technicians ◽  
Medical Radiology ◽  
Great Development

The development of artificial intelligence (AI) during the COVID-19 pandemic is there for all to see, and has undoubtedly mainly concerned the activities of digital radiology. Nevertheless, the strong perception in the research and clinical application environment is that AI in radiology is like a hammer in search of a nail. Notable developments and opportunities do not seem to be combined, now, in the time of the COVID-19 pandemic, with a stable, effective, and concrete use in clinical routine; the use of AI often seems limited to use in research applications. This study considers the future perceived integration of AI with digital radiology after the COVID-19 pandemic and proposes a methodology that, by means of a wide interaction of the involved actors, allows a positioning exercise for acceptance evaluation using a general purpose electronic survey. The methodology was tested on a first category of professionals, the medical radiology technicians (MRT), and allowed to (i) collect their impressions on the issue in a structured way, and (ii) collect their suggestions and their comments in order to create a specific tool for this professional figure to be used in scientific societies. This study is useful for the stakeholders in the field, and yielded several noteworthy observations, among them (iii) the perception of great development in thoracic radiography and CT, but a loss of opportunity in integration with non-radiological technologies; (iv) the belief that it is appropriate to invest in training and infrastructure dedicated to AI; and (v) the widespread idea that AI can become a strong complementary tool to human activity. From a general point of view, the study is a clear invitation to face the last yard of AI in digital radiology, a last yard that depends a lot on the opinion and the ability to accept these technologies by the operators of digital radiology.

Controller design for a robotic catheter teleoperation system

2012 ◽  
Author(s):  
Nan Xiao ◽  
Shuxiang Guo ◽  
Baofeng Gao ◽  
Xu Ma ◽  
Takashi Tamiya ◽  
...  
Keyword(s):  
Controller Design ◽  
Teleoperation System

scholarly journals Political Correlates of Apophatic and Cataphatic Listening Styles

2018 ◽  
Author(s):  
Eike Mark Rinke ◽  
Patricia Moy
Keyword(s):  
Empirical Test ◽  
National Sample ◽  
Point Of View ◽  
Sample Survey ◽  
Normative Concepts ◽  
Political Outcomes ◽  
Critical Error ◽  
Using Data ◽  
Task Oriented ◽  
And Task

While it is a truism that political voice is a cornerstone of democratic theory, less theorizing has focused on its counterpart, political listening. Drawing upon research related to listening practices, this study operationalizes for empirical study Dobson’s (2014) normative concepts of apophatic listening, which is dialogic and facilitates discussion across lines of difference, and cataphatic listening, which is monologic and disruptive in nature. Using data from a national sample survey of Latinos fielded shortly after the 2016 U.S. presidential election (N = 720), we provide an empirical test of these listening practices’ democratic value by examining how relational and analytical listening (dimensions of apophatic practices) and task-oriented and critical listening (dimensions of cataphatic practices) are associated with various political outcomes, including political interest, knowledge, trust, and participation. Findings indicate that, from a normative point of view, task-oriented listening was unrelated or negatively related to political outcomes while relational listening had ambivalent relations. However, the two cognitive-epistemic dimensions of both types of listening – analytical listening and critical (error-seeking) listening – were both strongly and positively related to most studied political outcomes. These findings offer nuanced evidence that apophatic and cataphatic listening might not necessarily be at odds with each other where democratically desirable outcomes are concerned.

scholarly journals Investigation of Effective Factors on Calving Interval of Cows in Faryab Province

2021 ◽  
Vol 8 (2) ◽  
pp. 63-68
Author(s):  
Saifullah Saadat
Keyword(s):  
Dairy Cows ◽  
Reproductive System ◽  
Research Area ◽  
General Purpose ◽  
Point Of View ◽  
Economic Losses ◽  
Meat Production ◽  
Calving Interval ◽  
Effective Factors ◽  
Inadequate Nutrition

This research was conducted to investigate the effects of factors (Identification of female cows, timely insemination of identified begging cows, diseases related to the reproductive system and nutrition) on the calving interval of dairy cows in Faryab province. Whereas, the long interval between two deliveries due to the identification of female cows, the increase in the number of inseminations (due to the failure of previous insemination), poor nutritional management and genital infections cause a long interval between calving to retrieval of cows. In that case, it will significantly reduce milk production and livestock income, because calving interval is one of the most important indicators of reproduction and economic characteristics of dairy cows, which is the interval between two calving intervals. Under the best of circumstances, one cow gives birth to only one calf per year. Calves born are important from both the point of view of meat production and replacement of old and low-producing cows. Identifying the effective factors and their effects on the calving interval between dairy cows and preventing the economic losses of dairy farmers due to increasing the calving interval between calves are the general purpose of this research. In this research, Andkhoy, Qurghan and other Faryab districts were randomly selected from three villages in each district and 10 owners from each village, which included three districts, 9 villages and nine livestock, respectively. The results of the present research showed that the interval between calving of dairy cows in the research area was due to the untimely identification of female cows by herders, increasing the number of inseminations due to the failure of previous inseminations of diseases related to the reproductive system and inadequate nutrition. The average time after delivery for the uterus to return to its previous state was 465 days.

Task-oriented hierarchical control architecture for swarm robotic system

2016 ◽  
Vol 16 (4) ◽  
pp. 579-596 ◽  
Author(s):  
Yuquan Leng ◽  
Cen Yu ◽  
Wei Zhang ◽  
Yang Zhang ◽  
Xu He ◽  
...  
Keyword(s):  
Hierarchical Control ◽  
Robotic System ◽  
Control Architecture ◽  
Hierarchical Control Architecture ◽  
Task Oriented

A Programmer-Centric and Task-Optimized Object Graph Visualizer for Debuggers

2014 ◽  
pp. 385-396
Author(s):  
Anthony Savidis ◽  
Nikos Koutsopoulos
Keyword(s):  
Social Networking ◽  
Defect Detection ◽  
Graph Drawing ◽  
General Purpose ◽  
Regular Expressions ◽  
Visualization Technique ◽  
Integrated Development ◽  
Integrated Development Environments ◽  
Object Graph ◽  
Task Oriented

Today, existing graph visualizers are not popular for debugging purposes because they are mostly visualization-oriented, rather than task-oriented, implementing general-purpose graph drawing algorithms. The latter explains why prominent integrated development environments still adopt traditional tree views. The authors introduce a debugging assistant with a visualization technique designed to better fit the actual task of defect detection in runtime object networks, while supporting advanced inspection and configuration features. Its design has been centered on the study of the actual programmer needs in the context of the debugging task, emphasizing: 1.) visualization style inspired by a social networking metaphor enabling easily identify who deploys objects (clients) and whom objects deploy (servers); 2.) inspection features to easily review object contents and associations and to search content patterns (currently regular expressions only); and 3.) interactively configurable levels of information detail, supporting off-line inspection and multiple concurrent views.

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