نتایج جستجو برای: manual and automated shocker

تعداد نتایج: 16854213  

2012
Corena de Beer Monika Esser Wolfgang Preiser

OBJECTIVE Enzyme-linked immunosorbent assays (ELISAs) are widely used to quantify immunoglobulin levels induced by infection or vaccination. Compared to conventional manual assays, automated ELISA systems offer more accurate and reproducible results, faster turnaround times and cost effectiveness due to the use of multianalyte reagents. DESIGN The VaccZyme™ Human Anti-Haemophilus influenzae t...

2016
Md Faisal Kabir Muhammad Mushfiqur Rahman

The chapter will describe a new integrated approach to data mining by seamlessly combining business intelligence software functions with manual graphical analysis capabilities with automated data mining techniques. The integrated approach provides an analytic system that supports the KDD process in an integrated manner. Furthermore it recognizes the importance of manual analysis as an important...

1999
Michael Kaus Simon K. Warfield Arya Nabavi E. Chatzidakis Peter M. Black Ferenc A. Jolesz Ron Kikinis

Computer assisted surgical planning and image guided technology have become increasingly used in neurosurgery. We have developed a system based on ATmC (Adaptive Template moderated Classification) for the automated segmentation of 3D MRI brain data sets of patients with brain tumors (meningiomas and low grade gliomas) into the skin, the brain, the ventricles and the tumor. In a validation study...

Journal: :Journal of clinical pathology 1969
P Trinder

Manual and automated methods for the determination of blood glucose have been devised using an oxidase/peroxidase system, with dl adrenaline, a non-carcinogen, as oxygen acceptor. The manual technique employs a stable single solution protein precipitant and the other reagents used are also stable. The automated methods are operated at 40/hr sample speed and washover between samples, over a very...

Journal: :American journal of hypertension 2008
Martin J Turner Johan M van Schalkwyk

To the Editor: Myers et al.1 in their article “Comparison Between an Automated and Manual Sphygmomanometer in a Population Survey” compared blood pressures (BPs) measured with a standard mercury sphygmomanometer and an oscillometric sphygmomanometer and concluded that “conventional manual BP readings taken using mercury sphygmomanometry can be replaced by (readings taken using) a validated, aut...

2003
Richard B. North

Received, June 28, 2002. Accepted, October 18, 2002. OBJECTIVE: Programmable, multicontact, implanted stimulation devices represent an important advance in spinal cord stimulation for the management of pain. They facilitate the technical goal of covering areas of pain by stimulation-evoked paresthesiae. Adjustment after implantation requires major investments of time and effort, however, if the...

Journal: :Biomedical optics express 2013
Zach Nadler Bo Wang Gadi Wollstein Jessica E Nevins Hiroshi Ishikawa Larry Kagemann Ian A Sigal R Daniel Ferguson Daniel X Hammer Ireneusz Grulkowski Jonathan J Liu Martin F Kraus Chen D Lu Joachim Hornegger James G Fujimoto Joel S Schuman

We demonstrate an automated segmentation method for in-vivo 3D optical coherence tomography (OCT) imaging of the lamina cribrosa (LC). Manual segmentations of coronal slices of the LC were used as a gold standard in parameter selection and evaluation of the automated technique. The method was validated using two prototype OCT devices; each had a subject cohort including both healthy and glaucom...

Journal: :Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention 2005
Edward A. Ashton Teresa McShane Jeffrey L. Evelhoch

A method is presented for the calculation of perfusion parameters in dynamic contrast enhanced MRI. This method requires identification of enhancement curves for both tumor tissue and plasma. Inter-operator variability in the derived rate constant between plasma and extra-cellular extra-vascular space is assessed in both canine and human subjects using semi-automated tumor margin identification...

1991
Edgar H. Sibley James B. Michael Ravi S. Sandhu

The assumptions underlying security policy models, such as the Bell-LaPadula model, are usually not explicitly stated. This has led to several common misconceptions about this model and its scope. A comparison of manual and automated systems is used to demonstrate the derivation of the Bell-LaPadula ?property (pronounced star-property) for automated systems and its analog for manual systems. Th...

Journal: :Radiology 2000
R E Hogan K E Mark L Wang S Joshi M I Miller R D Bucholz

In five patients with mesial temporal sclerosis, the authors verified the precision and reproducibility of hippocampal segmentations with deformation-based magnetic resonance (MR) imaging. The overall percentage overlap between automated segmentations was 92.8% (SD, 3.5%), between manual segmentations was 73.1% (SD, 9.5%), and between automated and manual segmentations was 74.8% (SD, 10.3%). De...

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function paginate(evt) { url=/search_year_filter/ var term=document.getElementById("search_meta_data").dataset.term pg=parseInt(evt.target.text) var data={ "year":filter_year, "term":term, "pgn":pg } filtered_res=post_and_fetch(data,url) window.scrollTo(0,0); } function update_search_meta(search_meta) { meta_place=document.getElementById("search_meta_data") term=search_meta.term active_pgn=search_meta.pgn num_res=search_meta.num_res num_pages=search_meta.num_pages year=search_meta.year meta_place.dataset.term=term meta_place.dataset.page=active_pgn meta_place.dataset.num_res=num_res meta_place.dataset.num_pages=num_pages meta_place.dataset.year=year document.getElementById("num_result_place").innerHTML=num_res if (year !== "unfilter"){ document.getElementById("year_filter_label").style="display:inline;" document.getElementById("year_filter_place").innerHTML=year }else { document.getElementById("year_filter_label").style="display:none;" document.getElementById("year_filter_place").innerHTML="" } } function update_pagination() { search_meta_place=document.getElementById('search_meta_data') num_pages=search_meta_place.dataset.num_pages; active_pgn=parseInt(search_meta_place.dataset.page); document.getElementById("pgn-ul").innerHTML=""; pgn_html=""; for (i = 1; i <= num_pages; i++){ if (i===active_pgn){ actv="active" }else {actv=""} pgn_li="
  • " +i+ "
  • "; pgn_html+=pgn_li; } document.getElementById("pgn-ul").innerHTML=pgn_html var pgn_links = document.querySelectorAll('.mypgn'); pgn_links.forEach(function(pgn_link) { pgn_link.addEventListener('click', paginate) }) } function post_and_fetch(data,url) { showLoading() xhr = new XMLHttpRequest(); xhr.open('POST', url, true); xhr.setRequestHeader('Content-Type', 'application/json; charset=UTF-8'); xhr.onreadystatechange = function() { if (xhr.readyState === 4 && xhr.status === 200) { var resp = xhr.responseText; resp_json=JSON.parse(resp) resp_place = document.getElementById("search_result_div") resp_place.innerHTML = resp_json['results'] search_meta = resp_json['meta'] update_search_meta(search_meta) update_pagination() hideLoading() } }; xhr.send(JSON.stringify(data)); } function unfilter() { url=/search_year_filter/ var term=document.getElementById("search_meta_data").dataset.term var data={ "year":"unfilter", "term":term, "pgn":1 } filtered_res=post_and_fetch(data,url) } function deactivate_all_bars(){ var yrchart = document.querySelectorAll('.ct-bar'); yrchart.forEach(function(bar) { bar.dataset.active = false bar.style = "stroke:#71a3c5;" }) } year_chart.on("created", function() { var yrchart = document.querySelectorAll('.ct-bar'); yrchart.forEach(function(check) { check.addEventListener('click', checkIndex); }) }); function checkIndex(event) { var yrchart = document.querySelectorAll('.ct-bar'); var year_bar = event.target if (year_bar.dataset.active == "true") { unfilter_res = unfilter() year_bar.dataset.active = false year_bar.style = "stroke:#1d2b3699;" } else { deactivate_all_bars() year_bar.dataset.active = true year_bar.style = "stroke:#e56f6f;" filter_year = chart_data['labels'][Array.from(yrchart).indexOf(year_bar)] url=/search_year_filter/ var term=document.getElementById("search_meta_data").dataset.term var data={ "year":filter_year, "term":term, "pgn":1 } filtered_res=post_and_fetch(data,url) } } function showLoading() { document.getElementById("loading").style.display = "block"; setTimeout(hideLoading, 10000); // 10 seconds } function hideLoading() { document.getElementById("loading").style.display = "none"; } -->