scholarly journals Computerized testing as efficient form of objective knowledge monitoring in studying of technical subjects

2019 ◽  
pp. 11-11
Author(s):  
Vitaly Kuznetsov ◽  
Galina Polekhina ◽  
Yulia Shaposhnikova
Keyword(s):  
Computerized Testing ◽  
Efficient System ◽  
Academic Activity ◽  
Computer Testing ◽  
Level Ii ◽  
New Information ◽  
The Subject ◽  
Knowledge Monitoring ◽  
Level I ◽  
Problematic Situations

Introduction. Objective and regular students’ knowledge monitoring in technical subjects can be implemented by means of special tests allowing for the required mastering level of the matter and the reliable consolidation of the acquired knowledge. Various aspects of the application of tests in the academic activity were considered. Materials and methods. Tests used in practical studies should meet specific requirements, such as: validity, definiteness, simplicity, unambiguity, reliability. The identification of mastering levels makes it possible to “troubleshoot” and to improve the academic activity and the mastering degree of the competences by the students. Based on the assessment of the studying pattern of the forthcoming activity, one could point out four mastering levels of the subject matter. Level I tests include recognition, discrimination and classification. Level II tests monitor the mastering of the subject in the level of “reproduction” allowing for retrieval of information from the memory and its analysis, for routine assignment solutions. Level III tests impose special assignments challenging a student with quests for which no ready algorithms are catered, whereas the solutions found lead to obtaining of subjectively new information. Level IV tests reveal students’ capability to take decisions in new problematic situations, the solutions found, being a result of creative activity, are followed by obtaining of objectively new information. Results. To establish an efficient system of monitoring tests in a certain subject, a number of basic prerequisites is required, such as a data base, a sample group of with the required number of assignments, at least 30 and maximum 70, a time limit in accordance with the required labor intensity, assessment of the assignments and its criteria, the output of the results. Conclusions. If there is a required number of computers of at least one PC per two students, correctly arranged computer testing considerably reduces time demand of a monitoring event, increases the responsibility and the progress of the students, guarantees the objectiveness of the knowledge monitoring and helps to avoid conflicts.

CLINICAL FEATURES, INDICATIONS AND RESULT OF TRACHEOTOMY

2017 ◽  
pp. 50-55
Author(s):  
Duc Luu Ngo ◽  
Tu The Nguyen ◽  
Manh Hung Ho ◽  
Thanh Thai Le
Keyword(s):  
Clinical Features ◽  
University Hospital ◽  
Female Ratio ◽  
Tube Obstruction ◽  
Level Ii ◽  
Study Results ◽  
Male Female Ratio ◽  
Hospital Patients ◽  
Level I

Background: This study aims to survey some clinical features, indications and results of tracheotomy at Hue Central Hospital and Hue University Hospital. Patients and method: Studying on 77 patients who underwent tracheotomy at all of departments and designed as an prospective, descriptive and interventional study. Results: Male-female ratio was 4/1. Mean age was 49 years. Career: farmer 44.2%, worker 27.2%, officials 14.3%, student 7.8%, other jobs 6.5%. Respiratory condition before tracheotomy: underwent intubation 62.3%, didn’t undergo intubation 37.7%. Period of stay of endotracheal tube: 1-5 days 29.2%, 6-14 days 52.1%, >14 days 18.7%. Levels of dyspnea before tracheotomy: level I 41.4%, level II 48.3%, level III 0%, 10.3% of cases didn’t have dyspnea. Twenty cases (26%) were performed as an emergency while fifty seven (74%) as elective produces. Classic indications (37.7%) and modern indications (62.3%). On the bases of the site, we divided tracheostomy into three groups: high (0%), mid (25.3%) and low (74.7%). During follow-up, 44 complications occurred in 29 patients (37.7%). Tracheobronchitis 14.3%, tube obstruction 13%, subcutaneous empysema 10.4%, hemorrhage 5%, diffcult decannulation 5.2%, tube displacement 3.9%, canule watery past 2.6%, wound infection 1.3%. The final result after tracheotomy 3 months: there are 33 patients (42.9%) were successfully decannulated. In the 33 patients who were successfully decannulated: the duration of tracheotomy ranged from 1 day to 90 days, beautiful scar (51.5%), medium scar (36.4%), bad scar (12.1%). Conclusions: In tracheotomy male were more than female, adult were more than children. The main indication was morden indication. Tracheobronchitis and tube obstruction were more common than other complications. Key words: Tracheotomy

scholarly journals Secondary prevention medication persistence and prognosis of acute ischaemic stroke or transient ischaemic attack

2021 ◽  
pp. svn-2020-000471
Author(s):  
Lei Zhang ◽  
Junfeng Shi ◽  
Yuesong Pan ◽  
Zixiao Li ◽  
Hongyi Yan ◽  
...  
Keyword(s):  
Secondary Prevention ◽  
Ischaemic Stroke ◽  
Acute Ischaemic Stroke ◽  
Transient Ischaemic Attack ◽  
Recurrent Stroke ◽  
Medication Persistence ◽  
Level Ii ◽  
Composite Events ◽  
Ischaemic Attack ◽  
Level I

IntroductionThe risk of disability and mortality is high among recurrent stroke, which highlights the importance of secondary prevention measures. We aim to evaluate medication persistence for secondary prevention and the prognosis of acute ischaemic stroke or transient ischaemic attack (TIA) in China.MethodsPatients with acute ischaemic stroke or TIA from the China National Stroke Registry II were divided into 3 groups based on the percentage of persistence in secondary prevention medication classes from discharge to 3 months after onset (level I: persistence=0%, level II: 0%<persistence<100%, level III: persistence=100%). The primary outcome was recurrent stroke. The secondary outcomes included composite events (stroke, myocardial infarction or death from cardiovascular cause), all-cause death and disability (modified Rankin Scale score=3–5) from 3 months to 1 year after onset. Recurrent stroke, composite events and all-cause death were performed using Cox regression model, and disability was identified through logistic regression model using the generalised estimating equation method.Results18 344 patients with acute ischaemic stroke or TIA were included, 315 (1.7%) of whom experienced recurrent strokes. Compared with level I, the adjusted HR of recurrent stroke for level II was 0.41 (95% CI 0.31 to 0.54) and level III 0.37 (0.28 to 0.48); composite events for level II 0.41 (0.32 to 0.53) and level III 0.38 (0.30 to 0.49); all-cause death for level II 0.28 (0.23 to 0.35) and level III 0.20 (0.16–0.24). Compared with level I, the adjusted OR of disability for level II was 0.89 (0.77 to 1.03) and level III 0.82 (0.72 to 0.93).ConclusionsPersistence in secondary prevention medications, especially in all classes of medications prescribed by the physician, was associated with lower hazard of recurrent stroke, composite events, all-cause death and lower odds of disability in patients with acute ischaemic stroke or TIA.

scholarly journals Variables in Globular Clusters, the Common and the Rare

1973 ◽  
Vol 21 ◽  
pp. 3-7
Author(s):  
Helen Sawyer Hogg
Keyword(s):  
Globular Clusters ◽  
New Information ◽  
The Subject ◽  
The Common

The title of this talk is really just a different phrasing from one I have used at several IAU meetings on the subject of numbers and kinds of variables in globular clusters. To furnish this material, I have finished the Third Catalogue of Variables in Globular Clusters. Since many of you are coming to this Colloquium with new information, the Catalogue is in draft form with a request that corrections and additions be given me by October 2, after which the draft will go to the printer.The First Catalogue of Variables in Globular Clusters was published at this observatory in 1939 and the Second Catalogue in 1955. In 1966 appeared the excellent Catalogue of Variables South of Declination—29° by Fourcade, Laborde and Albarracin, with splendid large prints of identification charts.

Source depth estimation using multi-station waveform data

1984 ◽  
Vol 74 (5) ◽  
pp. 1623-1643
Author(s):  
Falguni Roy
Keyword(s):  
Depth Estimation ◽  
The United States ◽  
Digital Data ◽  
United States Geological Survey ◽  
Travel Times ◽  
Source Depth ◽  
Time Data ◽  
Waveform Data ◽  
Level Ii ◽  
Level I

Abstract A depth estimation procedure has been described which essentially attempts to identify depth phases by analyzing multi-station waveform data (hereafter called level II data) in various ways including deconvolution, prediction error filtering, and spectral analysis of the signals. In the absence of such observable phases, other methods based on S-P, ScS-P, and SKS-P travel times are tried to get an estimate of the source depth. The procedure was applied to waveform data collected from 31 globally distributed stations for the period between 1 and 15 October 1980. The digital data were analyzed at the temporary data center facilities of the National Defense Research Institute, Stockholm, Sweden. During this period, a total number of 162 events in the magnitude range 3.5 to 6.2 were defined by analyzing first arrival time data (hereafter called level I data) alone. For 120 of these events, it was possible to estimate depths using the present procedure. The applicability of the procedure was found to be 100 per cent for the events with mb &gt; 4.8 and 88 per cent for the events with mb &gt; 4. A comparison of level I depths and level II depths (the depths as obtained from level I and level II data, respectively) with that of the United States Geological Survey estimates indicated that it will be necessary to have at least one local station (Δ &lt; 10°) among the level I data to obtain reasonable depth estimates from such data alone. Further, it has been shown that S wave travel times could be successfully utilized for the estimation of source depth.

scholarly journals Factors associated with interhospital transfer of children with respiratory failure from level II to level I pediatric intensive care units

2015 ◽  
Vol 30 (5) ◽  
pp. 1080-1084 ◽  
Author(s):  
Folafoluwa O. Odetola ◽  
Sarah J. Clark ◽  
James G. Gurney ◽  
Janet E. Donohue ◽  
Achamyeleh Gebremariam ◽  
...  
Keyword(s):  
Intensive Care ◽  
Respiratory Failure ◽  
Intensive Care Units ◽  
Pediatric Intensive Care ◽  
Pediatric Intensive Care Units ◽  
Factors Associated ◽  
Interhospital Transfer ◽  
Level Ii ◽  
Level I

Level I/Level II: Factors or categories?

1982 ◽  
Vol 74 (6) ◽  
pp. 868-873 ◽  
Author(s):  
Arthur R. Jensen
Keyword(s):  
Level Ii ◽  
Level I

Characteristics and outcomes of inter-hospital transfers from Level II to Level I pediatric intensive care units

2006 ◽  
Vol 7 (6) ◽  
pp. 617
Author(s):  
Folafoluwa O. Odetola ◽  
Thomas P. Shanley ◽  
James G. Gurney ◽  
Sarah J. Clark ◽  
Ronald E. Dechert ◽  
...  
Keyword(s):  
Intensive Care ◽  
Intensive Care Units ◽  
Pediatric Intensive Care ◽  
Pediatric Intensive Care Units ◽  
Level Ii ◽  
Level I

ASSESSMENT OF MATHEMATICS TEACHERS’ PROFESSIONAL COMPETENCE

2020 ◽  
Vol 11 (3) ◽  
pp. 477-500
Author(s):  
Nataliya Podkhodova ◽  
Viktoria Snegurova ◽  
Natalia Stefanova ◽  
Alla Triapitsyna ◽  
Svetlana Pisareva
Keyword(s):  
Diagnostic Test ◽  
Mathematics Teachers ◽  
Professional Competence ◽  
Assessment System ◽  
Teaching Competencies ◽  
Mathematical Skills ◽  
Mathematical Teaching ◽  
Level Ii ◽  
Level I ◽  
Basic Level

Development of students’ mathematical skills is associated with quality teaching, which means that mathematics teachers should be able to successfully solve mathematical, teaching, and professional problems. The article aims to describe the assessment system of mathematics school teachers’ professional competence, which helps identify gaps in their training and design tailor-made retraining courses. 2,359 mathematics teachers from 13 regions of Russia participated in the research on 05–29 September 2017. Foremost, we conducted a survey and collected data about their teacher category and teacher expertise. Next, we provided a preliminary diagnostic test to enable the participants to self-assess their subject matter and teaching competencies. After that, they completed a three-part diagnostic test to assess their abilities to solve mathematical, teaching, and professional problems. Finally, the participants conducted video lessons. The three-part diagnostic test and video lessons allowed determining the professional competence level for every mathematics teacher. 24% participants showed level I of professional competence, 44% – level II, 9% – level II; 23% participants did not pass the basic level of professional competence. The results show that the mathematics teachers have difficulties in solving mathematical, teaching, or professional problems so tailor-made retraining courses are required. The developed assessment system underlies designing the courses.

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