scholarly journals Guidance Document of the Task Force on Zoonoses Data Collection ‐ Manual for Reporting of Food‐borne Outbreaks in the framework of Directive 2003/99/EC

EFSA Journal ◽  
2009 ◽  
Vol 7 (4) ◽  
Author(s):  
Keyword(s):  
Data Collection ◽  
Task Force ◽  
Guidance Document ◽  
Food Borne

The end of the laboratory developed test as we know it? Recommendations from a national multidisciplinary taskforce of laboratory specialists on the interpretation of the IVDR and its complications

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Paul C. D. Bank ◽  
Leo H. J. Jacobs ◽  
Sjoerd A. A. van den Berg ◽  
Hanneke W. M. van Deutekom ◽  
Dörte Hamann ◽  
...  
Keyword(s):  
Clinical Practice ◽  
The Netherlands ◽  
Medical Devices ◽  
Task Force ◽  
Large Impact ◽  
Guidance Document ◽  
Scientific Societies ◽  
Clinical Laboratories ◽  
The Impact

AbstractThe in vitro diagnostic medical devices regulation (IVDR) will take effect in May 2022. This regulation has a large impact on both the manufacturers of in vitro diagnostic medical devices (IVD) and clinical laboratories. For clinical laboratories, the IVDR poses restrictions on the use of laboratory developed tests (LDTs). To provide a uniform interpretation of the IVDR for colleagues in clinical practice, the IVDR Task Force was created by the scientific societies of laboratory specialties in the Netherlands. A guidance document with explanations and interpretations of relevant passages of the IVDR was drafted to help laboratories prepare for the impact of this new legislation. Feedback from interested parties and stakeholders was collected and used to further improve the document. Here we would like to present our approach to our European colleagues and inform them about the impact of the IVDR and, importantly we would like to present potentially useful approaches to fulfill the requirements of the IVDR for LDTs.

Pengembangan Aplikasi SANTRI PTSL Untuk Percepatan Pengumpulan Data Yuridis di Kantor Pertanahan Kabupaten Kampar

Tunas Agraria ◽  
2021 ◽  
Vol 4 (1) ◽  
pp. 95-112
Author(s):  
Mhd Teguh Saputra ◽  
I Gusti Nyoman Guntur ◽  
Slamet Wiyono
Keyword(s):  
Data Collection ◽  
Human Resources ◽  
Qualitative Methods ◽  
Task Force ◽  
Land Registration ◽  
Descriptive Approach ◽  
Feasibility Test ◽  
Application Forms

The purpose of this research is to find out how the SANTRI PTSL application can accelerate the juridical data collection and the feasibility of developing the SANTRI PTSL application. Using qualitative methods with a descriptive approach and data collection techniques by means of observation, interviews and questionnaires. SANTRI PTSL is an application that helps the work of the juridical task force. The output of the SANTRI PTSL application is a form of application for land registration that has been filled in automatically following the data submitted by the community to the officers. After training and simulating the use of the SANTRI PTSL application for juridical data collection officers, it is seen that this application is able to accelerate the collection and processing of juridical data, and in terms of the feasibility of developing this application it is also suitable for use in the Kampar Land Office after the feasibility test and simplification of the application forms according to the format used by the Land Office. By using the SANTRI PTSL application, the Kampar Land Office can optimize existing human resources and save time in completing PTSL activities. Inovasi pertanahan guna mendukung percepatan kinerja dan pelayanan pertanahan terus diupayakan. Penelitian ini bertujuan untuk mengetahui bagaimana aplikasi SANTRI PTSL dalam mempercepat pengumpulan data yuridis dan kelayakan pengembangan aplikasi SANTRI PTSL. Metode penelitian dilakukan secara kualitatif deskriptif, pengumpulan data dengan cara observasi dan wawancara.Hasil kajian menunjukkan bahwa aplikasi SANTRI PTSL yang diimplementasikan dapat mengoptimalkan SDM yang ada dan menghemat waktu dalam penyelesaian kegiatan PTSL. Aplikasi ini layak digunakan setelah dilakukanya pengembangan dan penyederhanaan blanko permohonan disesuaikan dengan standar yang ada pada Kantor Pertanahan Kabupaten Kampar. Aplikasi ini juga mampu mengintegrasikan data fisik dan data yuridis untuk mempermudah pengadministrasian pertanahan pada Kantor Pertanahan Kabupaten Kampar.Kata kunci: Pendaftaran Tanah, Inovasi, SANTRI PTSL

Pipeline Rupture Detection Based on Machine Learning and Pattern Recognition

2016 ◽  
Author(s):  
Martin Di Blasi ◽  
Zhan Li
Keyword(s):  
Machine Learning ◽  
Pattern Recognition ◽  
Task Force ◽  
Detection System ◽  
Leak Detection ◽  
Guidance Document ◽  
Performance Expectations ◽  
Detection Systems ◽  
Short Period ◽  
Recognition And Response

Pipeline ruptures have the potential to cause significant economic and environmental impact in a short period of time, therefore it is critical for pipeline operators to be able to promptly detect and respond to them. Public stakeholder expectations are high and an evolving expectation is that the response to such events be automated by initiating an automatic pipeline shutdown upon receipt of rupture alarm. These types of performance expectations are challenging to achieve with conventional, model-based, leak-detection systems (i.e. CPM–RTTMs) as the reliability measured in terms of the false alarm rate is typically too low. The company has actively participated on a pipeline-industry task force chaired by the API Cybernetics committee, focused on the development of best practices in the area of Rupture Recognition and Response. After API’s release of the first version of a Rupture Recognition and Response guidance document in 2014, the company has initiated development of its own internal Rupture Recognition Program (RRP). The RRP considers several rupture recognition approaches simultaneously, ranging from improvements to existing CPM leak detection to the development of new SCADA based rupture detection system (RDS). This paper will provide an overview of a specific approach to rupture detection based on the use of machine learning and pattern recognition techniques applied to SCADA data.

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