scholarly journals Real-Time Accelerator Diagnostic Tools for the MAX IV Storage Rings

Instruments ◽  
2020 ◽  
Vol 4 (3) ◽  
pp. 26
Author(s):  
Bernhard Meirose ◽  
Viktor Abelin ◽  
Fredrik Bertilsson ◽  
Benjamin Bolling ◽  
Mathias Brandin ◽  
...  

In this paper, beam diagnostic and monitoring tools developed by the MAX IV Operations Group are discussed. In particular, beam position monitoring and accelerator tunes visualization software tools, as well as tools that directly influence the beam quality and stability, are introduced. An availability and downtime monitoring application is also presented.

2021 ◽  
Vol 8 (1) ◽  
pp. 205395172110138
Author(s):  
Erika Bonnevie ◽  
Jennifer Sittig ◽  
Joe Smyser

While public health organizations can detect disease spread, few can monitor and respond to real-time misinformation. Misinformation risks the public’s health, the credibility of institutions, and the safety of experts and front-line workers. Big Data, and specifically publicly available media data, can play a significant role in understanding and responding to misinformation. The Public Good Projects uses supervised machine learning to aggregate and code millions of conversations relating to vaccines and the COVID-19 pandemic broadly, in real-time. Public health researchers supervise this process daily, and provide insights to practitioners across a range of disciplines. Through this work, we have gleaned three lessons to address misinformation. (1) Sources of vaccine misinformation are known; there is a need to operationalize learnings and engage the pro-vaccination majority in debunking vaccine-related misinformation. (2) Existing systems can identify and track threats against health experts and institutions, which have been subject to unprecedented harassment. This supports their safety and helps prevent the further erosion of trust in public institutions. (3) Responses to misinformation should draw from cross-sector crisis management best practices and address coordination gaps. Real-time monitoring and addressing misinformation should be a core function of public health, and public health should be a core use case for data scientists developing monitoring tools. The tools to accomplish these tasks are available; it remains up to us to prioritize them.


2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Antonio Bernabé-Ortiz ◽  
Jessica H. Zafra-Tanaka ◽  
Miguel Moscoso-Porras ◽  
Rangarajan Sampath ◽  
Beatrice Vetter ◽  
...  

AbstractA key component of any health system is the capacity to accurately diagnose individuals. One of the six building blocks of a health system as defined by the World Health Organization (WHO) includes diagnostic tools. The WHO’s Noncommunicable Disease Global Action Plan includes addressing the lack of diagnostics for noncommunicable diseases, through multi-stakeholder collaborations to develop new technologies that are affordable, safe, effective and quality controlled, and improving laboratory and diagnostic capacity and human resources. Many challenges exist beyond price and availability for the current tools included in the Package of Essential Noncommunicable Disease Interventions (PEN) for cardiovascular disease, diabetes and chronic respiratory diseases. These include temperature stability, adaptability to various settings (e.g. at high altitude), need for training in order to perform and interpret the test, the need for maintenance and calibration, and for Blood Glucose Meters non-compatible meters and test strips. To date the issues surrounding access to diagnostic and monitoring tools for noncommunicable diseases have not been addressed in much detail. The aim of this Commentary is to present the current landscape and challenges with regards to guidance from the WHO on diagnostic tools using the WHO REASSURED criteria, which define a set of key characteristics for diagnostic tests and tools. These criteria have been used for communicable diseases, but so far have not been used for noncommunicable diseases. Diagnostic tools have played an important role in addressing many communicable diseases, such as HIV, TB and neglected tropical diseases. Clearly more attention with regards to diagnostics for noncommunicable diseases as a key component of the health system is needed.


2012 ◽  
Vol 36 ◽  
pp. 280-285 ◽  
Author(s):  
Daisuke Oyama ◽  
Yoshiaki Adachi ◽  
Masanori Higuchi ◽  
Jun Kawai ◽  
Koichiro Kobayashi ◽  
...  

Author(s):  
C. H. Kuo ◽  
P. C. Chiu ◽  
Jenny Chen ◽  
K.H. Hu ◽  
K. T. Hsu

Author(s):  
Pei-Ying Yang ◽  
Yang-Wei Hsieh ◽  
Chen-Lin Kang ◽  
Chin-Dar Tseng ◽  
Chih-Hsueh Lin ◽  
...  

This study utilized a new type of detector, the CROSS II (Liverage Biomedical Inc., Taiwan), to perform a beam quality assurance (QA) procedure on a Sumitomo (Sumitomo Heavy Industries, Inc., Japan) pencil beam linear scanning proton therapy machine. The Cross II can monitor proton Pristine Bragg peak range, beam width, beam size, beam position, and scanning speed. All the data presented here were collected during a time span of over one year. The accuracy of the QA program could be verified if all the QA items were tested stably and within the programmed tolerances. Our results showed that the proton range remained within the [Formula: see text] mm tolerance, with the majority of measurements within [Formula: see text] mm, [Formula: see text] mm for spot size, 1.5 mm for spot position, and [Formula: see text]% for scanning speed. We found that the CROSS II detector is in high precise and steady state with highly efficient. Our proton therapy system was also proven to be in an accurate and reliable condition according to our QA results.


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