Lead your enrollment management unit by being a TEACHER with a SMART plan

2017 ◽  
Vol 21 (8) ◽  
pp. 9-9 ◽  
Author(s):  
Dwight Sanchez
Keyword(s):  
Enrollment Management ◽  
Management Unit

MS2/Cardio: Towards a Multi-Service Medical Software for Cardiology

1992 ◽  
Vol 31 (01) ◽  
pp. 18-28 ◽  
Author(s):  
C. Combi ◽  
G. Pozzi ◽  
R. Rossi ◽  
F. Pinciroli
Keyword(s):  
Statistical Processing ◽  
Clinical Information ◽  
Daily Practice ◽  
Management Unit ◽  
Record Management ◽  
Medical Software ◽  
Software Packages ◽  
Ambulatory Patients ◽  
Patient Database ◽  
Individual Program

Abstract:Many clinics are interested to use software packages in daily practice, but lack of integration of such packages seriously limits their scope. In practice this often entails switching between programs and interrupting the run of an individual program. A multi-task approach would not solve this problem as it would not eliminate the need to input the same data many times, as often occurs when using separate packages. The construction of a Multi-Service Medical Software package (MSx2) is described, which was also developed as an example of practical integration of some clinically relevant functions. The package runs on a personal computer in an MS-DOS environment and integrates a time-oriented medical record management unit (TOMRU) for data of ambulatory patients, and a drug information management unit (DIMU) concerning posology, content, effects, and possible interactions. Of the possible database configurations allowed by MSx2, the cardiology patient database (MSx2/C) and hypertensive patient database (MSx2/H) were developed and described here. Clinical information to be included in the configurations was obtained after discussion and consensus of clinical practitioners. MSx2/C was distributed to several hundred clinical centers during computerized courses to train future users. MSx2 can easily transfer patient data to statistical processing packages.

scholarly journals The Influence of Increased Salvage Felling on Forwarding Distance and the Removal—A Case Study from Croatia

Forests ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 7
Author(s):  
Andreja Đuka ◽  
Zoran Bumber ◽  
Tomislav Poršinsky ◽  
Ivica Papa ◽  
Tibor Pentek
Keyword(s):  
Spatial Distribution ◽  
Management Plan ◽  
Management Unit ◽  
Negative Effects ◽  
Forest Operations ◽  
Spatial Reference ◽  
Infrastructure Network ◽  
Gis Environment ◽  
Research Period

During the seven-year research period, the average annual removal was by 3274 m3 higher than the average annual removal prescribed by the existing management plan (MP). The main reason lies in the high amount of salvage felling volume at 55,238 m3 (38.3%) in both the main and the intermediate felling due to oak dieback. The analysis of forest accessibility took into account the spatial distribution of cutblocks (with ongoing felling operations) and the volume of felled timber for two proposed factors: (1) the position of the cutblock and (2) the position of the removal. Cutblock position factor took into account the spatial position of the felling areas/sites, while removal position factor besides the spatial reference took into account the amount of felled timber (i.e., volume) both concerning forest infrastructure network and forest operations. The analysed relative forest openness by using geo-processing workflows in GIS environment showed four types of opening areas in the studied management unit (MU): single-opened, multiple-opened, unopened and opened areas outside of the management unit. Negative effects of the piece-volume law and low harvesting densities on forest operations are highlighted in this research due to high amount of salvage felling particularly in the intermediate felling by replacing timber volume that should have come from thinnings.

scholarly journals Research on Deep Belief Network of Wind Power Control Management Unit Based on Attack Identification

2020 ◽  
Vol 1646 ◽  
pp. 012120
Author(s):  
Wei Liu ◽  
Zhiwei Huang ◽  
Rui Chen ◽  
Kai Ding ◽  
Xiaofan Zhu ◽  
...  
Keyword(s):  
Power Control ◽  
Wind Power ◽  
Deep Belief Network ◽  
Management Unit ◽  
Belief Network ◽  
Control Management
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