scholarly journals DEPTH ANALYSIS CLASS AVERAGE OF 2013 NURSING STUDENTS AT MOLUCCAS CHRISTIANNUNIVERSITY OF INDONESIA

2022 ◽  
Author(s):  
Uniqbu

This research performs a reality about the Depth Analysis Class Average of 2013 Nursing Students at Moluccas Christian University of Indonesia. The method that written uses is descriptive study. To achieve the credibility of data for this research, the writer would like use the data of Class Average five classes (A—E) Nursing students of 2013 generations, namely graphic and table. Finally, the research findings that E class has the lowest class average than the others classes. It happens because more than half of E class students achieve the grade below C point. In short, we can conclude the real data of E class that performs by 2013—specifically E class, Nurses students of UKIM.

2021 ◽  
pp. 305-312
Author(s):  
Iraqi Journal Of Science ◽  
Brahim Darraj ◽  
Bouchra Gourja ◽  
Abderrazak Faiq ◽  
El Mostafa Tace ◽  
...  

This descriptive research aims atidentifying the difficulties encountered by nursing students in the development of nursing diagnostic skills. The data collection was carried out using a direct questionnaire with 62 students in My Youssef’s hospital in Casablanca. The results of the study list a set of failures related to the training of nurses. This training focuses mainly on the acquisition of knowledge; it is not aimed to the development of the real skill.


2021 ◽  
Author(s):  
Uniqbu

This paper presents a fact about the Class Average of Two Generations ( 2011 and 2012 generations). It consists of five classes, includes Extension, A, B, C, and D. But the writer would like to analyze one class only, namely D class. Because the average class data stated, there is a drastic increasing point. To achieve the credibility of this research, the researcher uses average class data from another generation. So, the writer does the comparison process between 2011 and 2012 generations. Finally, through this paper, we can prove that some factors influenced the class average of two generations from D classes on nursing students at the Moluccas Christian University of Indonesia. Shortly, we can conclude that the D class of the 2012 generation has a higher class average point than the 2011 generation.


2021 ◽  
Vol 40 (3) ◽  
pp. 1-12
Author(s):  
Hao Zhang ◽  
Yuxiao Zhou ◽  
Yifei Tian ◽  
Jun-Hai Yong ◽  
Feng Xu

Reconstructing hand-object interactions is a challenging task due to strong occlusions and complex motions. This article proposes a real-time system that uses a single depth stream to simultaneously reconstruct hand poses, object shape, and rigid/non-rigid motions. To achieve this, we first train a joint learning network to segment the hand and object in a depth image, and to predict the 3D keypoints of the hand. With most layers shared by the two tasks, computation cost is saved for the real-time performance. A hybrid dataset is constructed here to train the network with real data (to learn real-world distributions) and synthetic data (to cover variations of objects, motions, and viewpoints). Next, the depth of the two targets and the keypoints are used in a uniform optimization to reconstruct the interacting motions. Benefitting from a novel tangential contact constraint, the system not only solves the remaining ambiguities but also keeps the real-time performance. Experiments show that our system handles different hand and object shapes, various interactive motions, and moving cameras.


2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Weiqiu Pan ◽  
Tianzeng Li ◽  
Safdar Ali

AbstractThe Ebola outbreak in 2014 caused many infections and deaths. Some literature works have proposed some models to study Ebola virus, such as SIR, SIS, SEIR, etc. It is proved that the fractional order model can describe epidemic dynamics better than the integer order model. In this paper, we propose a fractional order Ebola system and analyze the nonnegative solution, the basic reproduction number $R_{0}$ R 0 , and the stabilities of equilibrium points for the system firstly. In many studies, the numerical solutions of some models cannot fit very well with the real data. Thus, to show the dynamics of the Ebola epidemic, the Gorenflo–Mainardi–Moretti–Paradisi scheme (GMMP) is taken to get the numerical solution of the SEIR fractional order Ebola system and the modified grid approximation method (MGAM) is used to acquire the parameters of the SEIR fractional order Ebola system. We consider that the GMMP method may lead to absurd numerical solutions, so its stability and convergence are given. Then, the new fractional orders, parameters, and the root-mean-square relative error $g(U^{*})=0.4146$ g ( U ∗ ) = 0.4146 are obtained. With the new fractional orders and parameters, the numerical solution of the SEIR fractional order Ebola system is closer to the real data than those models in other literature works. Meanwhile, we find that most of the fractional order Ebola systems have the same order. Hence, the fractional order Ebola system with different orders using the Caputo derivatives is also studied. We also adopt the MGAM algorithm to obtain the new orders, parameters, and the root-mean-square relative error which is $g(U^{*})=0.2744$ g ( U ∗ ) = 0.2744 . With the new parameters and orders, the fractional order Ebola systems with different orders fit very well with the real data.


2013 ◽  
Vol 634-638 ◽  
pp. 4017-4021
Author(s):  
Jun Hui Pan ◽  
Hui Wang ◽  
Xiao Gang Yang

Aiming at the petrophysical facies recognition, a novel identification method based on the weighted fuzzy reasoning networks is proposed in the paper. First, the types and indicators are obtained from core analysis data and the results given by experts, and then the standard patterning database of reservoir petrophysical facies is established. Secondly, by integrating expert experiences and quantitative indicators to reflect the change of petrophysical facies, the classification model of petrophysical facies based on the weighted fuzzy reasoning networks is designed. The preferable application results are presented by processing the real data from the Sabei development zone of Daqing oilfield.


2021 ◽  
Vol 6 (4) ◽  
pp. 50
Author(s):  
Payam Teimourzadeh Baboli ◽  
Davood Babazadeh ◽  
Amin Raeiszadeh ◽  
Susanne Horodyvskyy ◽  
Isabel Koprek

With the increasing demand for the efficiency of wind energy projects due to challenging market conditions, the challenges related to maintenance planning are increasing. In this paper, a condition-based monitoring system for wind turbines (WTs) based on data-driven modeling is proposed. First, the normal condition of the WTs key components is estimated using a tailor-made artificial neural network. Then, the deviation of the real-time measurement data from the estimated values is calculated, indicating abnormal conditions. One of the main contributions of the paper is to propose an optimization problem for calculating the safe band, to maximize the accuracy of abnormal condition identification. During abnormal conditions or hazardous conditions of the WTs, an alarm is triggered and a proposed risk indicator is updated. The effectiveness of the model is demonstrated using real data from an offshore wind farm in Germany. By experimenting with the proposed model on the real-world data, it is shown that the proposed risk indicator is fully consistent with upcoming wind turbine failures.


2021 ◽  
pp. 104991
Author(s):  
Chiara Mastroianni ◽  
Anna Marchetti ◽  
Daniela D’Angelo ◽  
Marco Artico ◽  
Diana Giannarelli ◽  
...  

2021 ◽  
pp. 263208432098437
Author(s):  
Ahtisham Younas ◽  
Shahzad Inayat ◽  
Amara Sundus

Mixed methods reviews offer an excellent approach to synthesizing qualitative and quantitative evidence to generate more robust implications for practice, research, and policymaking. There are limited guidance and practical examples concerning the methods for adequately synthesizing qualitative and quantitative research findings in mixed reviews. This paper aims to illustrate the application and use of joint displays for qualitative and quantitative synthesis in mixed methods reviews. We used joint displays to synthesize and integrate qualitative and quantitative research findings in a segregated mixed methods review about male nursing students' challenges and experiences. In total, 36 qualitative, six quantitative, and one mixed-methods study was appraised and synthesized in the review. First, the qualitative and quantitative findings were analyzed and synthesized separately. The synthesized findings were integrated through tabular and visual joint displays at two levels of integration. At the first level, a statistics theme display was developed to compare the synthesized qualitative and quantitative findings and the number of studies from which the findings were generated. At the second level, the synthesized qualitative and quantitative findings supported by each other were integrated to identify confirmed, discordant, and expanded inferences using generalizing theme display. The use of two displays allowed in a robust and comprehensive synthesis of studies. Joint displays could serve as an excellent method for rigorous and transparent synthesis of qualitative and quantitative findings and the generation of adequate and relevant inferences in mixed methods reviews.


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