scholarly journals The Adoption Rate of Isfahan University of Medical Sciences with Components of the Learning Organization from the Perspective of Senior and Middle University Managers

2019 ◽  
Author(s):  
Monireh Sadeqi Jabali ◽  
Hamidreza Tadayon ◽  
Sharifeh Monemian
Keyword(s):  
Correlation Coefficient ◽  
Learning Organization ◽  
Team Learning ◽  
Middle Managers ◽  
Pearson Correlation ◽  
Compliance Rate ◽  
Shared Vision ◽  
Medical Sciences ◽  
Wide Range ◽  
The Individual

Background: Universities of Medical Sciences are required to take steps to implement dimensions of the learning organization due to their wide-range of activities and their role in maintaining and improving the community health. This study was conducted to determine the compliance of Isfahan University of Medical Sciences with the components of learning organization.  Methods: This descriptive-analytic study was conducted among all senior and middle managers of Isfahan University of Medical Sciences at the Central headquarters, colleges, and hospitals. For data collection, the standard Neife Learning Organization Questionnaire (2001) was applied .Validity of the questionnaire was evaluated in terms of content validity based on the experts' opinion and the questionnaire's reliability was confirmed by calculating the Cronbach's alpha coefficient of 0.89. Data were analyzed using descriptive and analytical statistics such as Pearson correlation coefficient, t-test, and Spearman correlation coefficient through SPSS 20. Results: The compliance rate of Isfahan University of Medical Sciences with components of the learning organization was 72.60 from the viewpoint of the senior and middle managers of this university in total. The highest mean score was attributed to the individual skills (77.60) and the lowest mean scores were related to the components of mental models (67.03), team learning (70.70), and shared vision (72.20), respectively. Independent t-tests showed that the total mean score of adoption with the learning organization and scores of the shared vision, team learning, and systematic thinking components were significantly higher in male than female managers (p < 0.05). Conclusion: The Isfahan University of Medical Sciences' compliance with characteristics of the learning organization is at a desirable level. Managers and authorities can achieve the highest level of learning organization by improving all components of the learning organization, especially the mental model, team learning, and shared vision.

scholarly journals Analysis of Quality of Knowledge Transformation Path to Learning Organization at Copper Carving Cluster in Central Java

2014 ◽  
Vol 6 (3) ◽  
pp. 128-134 ◽  
Author(s):  
Widiartanto Widiartanto
Keyword(s):  
Mental Models ◽  
Learning Organization ◽  
Team Learning ◽  
Shared Vision ◽  
Systemic Thinking ◽  
Knowledge Transformation ◽  
Transformation Path ◽  
Personal Mastery ◽  
Central Java

The purpose of this study was to determine the effect among variables of disciplinary learning organization (personal mastery, mental models, shared vision, thinking systemic, and team learning). The benefit of this research is to develop a model of knowledge transformation path quality as one of the strategies to manage environment change around Copper Craft Cluster. Samples of 90 workers were chosen by Slovin at 10% critical value of 716 populations as workers at the Copper Carving Cluster Tumang Boyolali, Central Java as a chosen research location. The technique sampling was proportional random sampling. The validity and reliability were tested. The data analysis method has been used descriptive analysis and inferential statistics (used path analysis). The benefit of this research was to develop a model of quality of knowledge transformation path as one of the strategies to manage environment’s change at the Copper Craft Cluster. The results showed that there were a positive and significant influences among variables as follow: personal mastery discipline on mental models discipline ; personal mastery discipline on shared vision discipline; personal mastery discipline on systemic thinking discipline; mental models discipline on shared vision discipline; mental models discipline on systemic thinking discipline; systemic thinking discipline on shared vision discipline; mental models discipline on team learning discipline; systemic thinking discipline on team learning discipline; and shared vision discipline on team learning discipline.

scholarly journals Literasi Learning Organization pada Pengurus Persaudaraan Muslimah (Salimah) Kota Bandar Lampung

2021 ◽  
Vol 1 (3) ◽  
pp. 115-124
Author(s):  
Ani Agus Puspawati ◽  
Vina Karmilasari ◽  
Susana Indriyati Caturiani ◽  
Rahayu Sulistiowati
Keyword(s):  
Focus Group ◽  
Focus Group Discussion ◽  
Learning Organization ◽  
Mental Model ◽  
Team Learning ◽  
Group Discussion ◽  
Shared Vision ◽  
Personal Mastery

Literasi learning organization pada pengurus Persaudaraan Muslimah (Salimah) Kota Bandar Lampung bertujuan untuk 1) Meningkatkan partisipasi/ keaktifan pengurus daerah dan anggota Salimah Kota Bandar Lampung. 2) Meningkatkan efektivitas program kerja sehingga dapat berjalan dengan baik. 3) Membentuk sinergitas program antara pengurus cabang dan pengurus daerah. Metode yang dilakukan terdiri dari tiga tahapan: 1) Analisis situasi dilakukan melalui penelusuran penelitian dan kajian tema yang berkaitan. 2) Intervensi Objek: dengan ceramah -tema ceramah: a) Mental model dan personal mastery; b) Shared vision, team learning; dan c) Komunikasi efektif-, focus group discussion, dan pendampingan. 3) Evaluasi dan Refleksi. Secara kuantitatif nilai rata-rata peserta sebelum dilaksanakan kegiatan adalah 70,19 dan mengalami kenaikan menjadi 80,31 setelah dilaksanakan kegiatan pelatihan. Kenaikan rata-rata sebesar 10,12 poin.

scholarly journals LEARNING ORGANIZATION AS RESPONSIVE BEHAVIOR TOWARD THE POLICIES OF HIGHER EDUCATION QUALITY IMPROVEMENT

2019 ◽  
Vol 2 (1) ◽  
pp. 1 ◽  
Author(s):  
Hanafiah Hanafiah ◽  
Hendi S Muchtar
Keyword(s):  
Higher Education ◽  
Learning Organization ◽  
Team Learning ◽  
Environmental Changes ◽  
Shared Vision ◽  
National Standards ◽  
Education Quality ◽  
Quality Of Higher Education ◽  
Higher Education Quality ◽  
Responsive Behavior

The development of higher education quality becomes primary activities that are not negotiable. Various government policies on the development of higher education continue to be issued, such as the Laws of Higher Education, Quality Assurance System of Higher Education, and the National Standards for Higher Education. One of responsive behavior to the development of quality higher education that is the Learning Organization. Through learning organization, every policies relating to the development have been discussed formally as well as becoming the means of improving the capacity of human resources in higher education adaptively and generatively. Learning organization originated from the culture of individual and team learning. This has led to shape the betterment of the quality of higher education, and also in responding to the policies of the development of quality higher education. The authors propose the alternative tools for that matter, that is the fifth disciplines of learning organization from Peter Senge, et al., namely: (1) Systems Thinking, (2) Personal Mastery; (3) Mental Models; (4) Shared Vision; and (5) Team Learning. Approach of Learning Organization in response to the policy of the development of quality higher education is done through internal dynamics, analysis of daily problems, self renewal capacity, building competitiveness in a cooperative and, build healthy higher education in the midst of rapid environmental changes, complex, and dynamic.

scholarly journals A Seismic Demand Model for Bridges Based on IM and EDP Parameter Matching and Bidirectional Optimization

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Shuai Wang ◽  
Shuai Song ◽  
Gang Wu
Keyword(s):  
Correlation Coefficient ◽  
Seismic Vulnerability ◽  
Pearson Correlation ◽  
Vulnerability Analysis ◽  
Seismic Demand ◽  
Demand Model ◽  
Demand Models ◽  
Wide Range ◽  
Seismic Demand Model ◽  
Seismic Vulnerability Analysis

The accuracy of seismic demand models in seismic vulnerability analysis of structures or components mainly depends on the seismic intensity measures (IMs) and engineering demand parameters (EDPs). This paper proposes a novel method to obtain the optimal seismic demand model for the seismic vulnerability analysis of bridges. The method obtains the IM-EDP combination by matching all IMs and EDPs within a wide range one by one, considering the contribution of multiple IM parameters to the seismic response of the structure and avoiding the blindness of EDP selection. The IM is determined by calculating Pearson correlation coefficient and partial correlation coefficient, controlling the correlation between EDP and IM (or IMs) to a minimum to reduce the multicollinearity within the vector IMs and avoid ill-conditioned models. The optimal seismic demand model is obtained by inspecting the scatter plot and residual plot of suboptimal seismic demand models determined from all combinations by guaranteeing efficiency and sufficiency. The efficiency of seismic demand models is guaranteed by controlling the root mean square error (RMSE) and the coefficient of determination (R2). The sufficiency of models is guaranteed by controlling the slope of fitted line. A continuous rigid frame bridge with double thin-walled piers is used as a case study and a dynamic time-history analysis is performed to obtain the seismic vulnerability of bridge with the proposed method. The results show that the proposed method is feasible and ideally suited for optimizing seismic demand model.

scholarly journals An Integration of Deep Network with Random Forests Framework for Image Quality Assessment in Real-Time

2021 ◽  
Author(s):  
Zahi Al Chami ◽  
Chady Abou Jaoude ◽  
Richard Chbeir
Keyword(s):  
Real Time ◽  
Correlation Coefficient ◽  
Random Forests ◽  
Image Quality Assessment ◽  
Rank Order ◽  
Pearson Correlation ◽  
Deep Network ◽  
Wide Range ◽  
Benchmark Datasets ◽  
Efficient Data

In recent years, data providers are generating and streaming a large number of images. More particularly, processing images that contain faces have received great attention due to its numerous applications, such as entertainment and social media apps. The enormous amount of images shared on these applications presents serious challenges and requires massive computing resources to ensure efficient data processing. However, images are subject to a wide range of distortions in real application scenarios during the processing, transmission, sharing, or combination of many factors. So, there is a need to guarantee acceptable delivery content, even though some distorted images do not have access to their original version. In this paper, we present a framework developed to estimate the images' quality while processing a large number of images in real-time. Our quality evaluation is measured using an integration of a deep network with random forests. In addition, a face alignment metric is used to assess the facial features. Experimental results have been conducted on two artificially distorted benchmark datasets, LIVE and TID2013. We show that our proposed approach outperforms the state-of-art methods, having a Pearson Correlation Coefficient (PCC) and Spearman Rank Order Correlation Correlation Coefficient (SROCC) with subjective human scores of almost 0.942 and 0.931 while minimizing the processing time from 4.8ms to 1.8ms.

THE VALUE OF LOVE IN THE SYSTEM OF FORMATION OF THE PROFESSIONAL MATURITY OF THE EDUCATOR

2020 ◽  
Vol 1 (10(79)) ◽  
pp. 12-18
Author(s):  
G. Bubyreva
Keyword(s):  
Russian Federation ◽  
The State ◽  
Educational Process ◽  
Wide Range ◽  
The Family ◽  
The Russian Federation ◽  
The Government ◽  
The Individual ◽  
The Right

The existing legislation determines the education as "an integral and focused process of teaching and upbringing, which represents a socially important value and shall be implemented so as to meet the interests of the individual, the family, the society and the state". However, even in this part, the meaning of the notion ‘socially significant benefit is not specified and allows for a wide range of interpretation [2]. Yet the more inconcrete is the answer to the question – "who and how should determine the interests of the individual, the family and even the state?" The national doctrine of education in the Russian Federation, which determined the goals of teaching and upbringing, the ways to attain them by means of the state policy regulating the field of education, the target achievements of the development of the educational system for the period up to 2025, approved by the Decree of the Government of the Russian Federation of October 4, 2000 #751, was abrogated by the Decree of the Government of the Russian Federation of March 29, 2014 #245 [7]. The new doctrine has not been developed so far. The RAE Academician A.B. Khutorsky believes that the absence of the national doctrine of education presents a threat to national security and a violation of the right of citizens to quality education. Accordingly, the teacher has to solve the problem of achieving the harmony of interests of the individual, the family, the society and the government on their own, which, however, judging by the officially published results, is the task that exceeds the abilities of the participants of the educational process.  The particular concern about the results of the patriotic upbringing served as a basis for the legislative initiative of the RF President V. V. Putin, who introduced the project of an amendment to the Law of RF "About Education of the Russian Federation" to the State Duma in 2020, regarding the quality of patriotic upbringing [3]. Patriotism, considered by the President of RF V. V. Putin as the only possible idea to unite the nation is "THE FEELING OF LOVE OF THE MOTHERLAND" and the readiness for every sacrifice and heroic deed for the sake of the interests of your Motherland. However, the practicing educators experience shortfalls in efficient methodologies of patriotic upbringing, which should let them bring up citizens, loving their Motherland more than themselves. The article is dedicated to solution to this problem based on the Value-sense paradigm of upbringing educational dynasty of the Kurbatovs [15].

Scientific Substantiation of the Innovative Model of Catering for Cadet Corps Students

2020 ◽  
pp. 31-35
Author(s):  
Novikova ◽  
SP Romanenko ◽  
MA Lobkis
Keyword(s):  
Correlation Coefficient ◽  
School Environment ◽  
Developmental Disorders ◽  
Pearson Correlation ◽  
Statistical Significance ◽  
Regression Analyses ◽  
Healthy Nutrition ◽  
Innovative Model ◽  
Scientific Substantiation ◽  
Student’S T

Introduction: In the Russian Federation, much attention is traditionally paid to military education and training. A special place in its structure is occupied by the system of cadet classes and corps. A distinctive feature of the learning mode in such institutions is a combined effect of standard and specific factors of indoor school environment and intensive physical activity owing to sports, applied military and drill training. No evidence-based methods of establishing nutrient requirements of children in modern conditions of cadet corps have been developed so far, which predetermines the potential of transforming nutrition from a health-saving factor into a health risk factor. Our objective was to provide a scientific substantiation of the model of healthy nutrition for students of cadet-type educational establishments. Methods: The statistical significance of the correlation was evaluated using the Student’s t-test. Correlation and regression analyses were used to assess cause-and-effect relationships. The Pearson correlation coefficient (rxy) was used as an indicator of the strength of the relationship between quantitative indicators x and y, both having a normal distribution. Correlation coefficient (rxy) values were interpreted in accordance with the Chaddock scale. For the purpose of statistical modeling, the method of multiple linear regressions was used. Conclusions: We substantiated the innovative model of organizing healthy nutrition for students of cadet-type schools based on the correlation and regression analyses with determination of statistical significance of the studied characteristics. Its efficiency indicators include an increase in average functional capabilities of students by more than 10 % and a reduction in the probability of developmental disorders by more than 25 %.

Relationship between Invasive and Non-Invasive Hemodynamic Measures in Experimental Pulmonary Hypertension

2020 ◽  
Vol 16 (1) ◽  
pp. 47-53
Author(s):  
Vicente Benavides-Córdoba ◽  
Mauricio Palacios Gómez
Keyword(s):  
Heart Rate ◽  
Pulmonary Hypertension ◽  
Ejection Fraction ◽  
Right Ventricle ◽  
Correlation Coefficient ◽  
Pearson Correlation ◽  
Systolic Pressure ◽  
Control Group ◽  
Pearson Correlation Coefficient ◽  
Non Invasive

Introduction: Animal models have been used to understand the pathophysiology of pulmonary hypertension, to describe the mechanisms of action and to evaluate promising active ingredients. The monocrotaline-induced pulmonary hypertension model is the most used animal model. In this model, invasive and non-invasive hemodynamic variables that resemble human measurements have been used. Aim: To define if non-invasive variables can predict hemodynamic measures in the monocrotaline-induced pulmonary hypertension model. Materials and Methods: Twenty 6-week old male Wistar rats weighing between 250-300g from the bioterium of the Universidad del Valle (Cali - Colombia) were used in order to establish that the relationships between invasive and non-invasive variables are sustained in different conditions (healthy, hypertrophy and treated). The animals were organized into three groups, a control group who was given 0.9% saline solution subcutaneously (sc), a group with pulmonary hypertension induced with a single subcutaneous dose of Monocrotaline 30 mg/kg, and a group with pulmonary hypertension with 30 mg/kg of monocrotaline treated with Sildenafil. Right ventricle ejection fraction, heart rate, right ventricle systolic pressure and the extent of hypertrophy were measured. The functional relation between any two variables was evaluated by the Pearson correlation coefficient. Results: It was found that all correlations were statistically significant (p <0.01). The strongest correlation was the inverse one between the RVEF and the Fulton index (r = -0.82). The Fulton index also had a strong correlation with the RVSP (r = 0.79). The Pearson correlation coefficient between the RVEF and the RVSP was -0.81, meaning that the higher the systolic pressure in the right ventricle, the lower the ejection fraction value. Heart rate was significantly correlated to the other three variables studied, although with relatively low correlation. Conclusion: The correlations obtained in this study indicate that the parameters evaluated in the research related to experimental pulmonary hypertension correlate adequately and that the measurements that are currently made are adequate and consistent with each other, that is, they have good predictive capacity.

Comparison of Mammography and Ultrasonography for Tumor Size of DCIS of Breast Cancer

2019 ◽  
Vol 15 (2) ◽  
pp. 209-213
Author(s):  
Yu Wang ◽  
Jiantao Wang ◽  
Haiping Wang ◽  
Xinyu Yang ◽  
Liming Chang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Correlation Coefficient ◽  
Tumor Size ◽  
Ductal Carcinoma ◽  
Pearson Correlation ◽  
Dense Breast ◽  
Pathological Examination ◽  
Negative Group ◽  
The Difference

Objective: Accurate assessment of breast tumor size preoperatively is important for the initial decision-making in surgical approach. Therefore, we aimed to compare efficacy of mammography and ultrasonography in ductal carcinoma in situ (DCIS) of breast cancer. Methods: Preoperative mammography and ultrasonography were performed on 104 women with DCIS of breast cancer. We compared the accuracy of each of the imaging modalities with pathological size by Pearson correlation. For each modality, it was considered concordant if the difference between imaging assessment and pathological measurement is less than 0.5cm. Results: At pathological examination tumor size ranged from 0.4cm to 7.2cm in largest diameter. For mammographically determined size versus pathological size, correlation coefficient of r was 0.786 and for ultrasonography it was 0.651. Grouped by breast composition, in almost entirely fatty and scattered areas of fibroglandular dense breast, correlation coefficient of r was 0.790 for mammography and 0.678 for ultrasonography; in heterogeneously dense and extremely dense breast, correlation coefficient of r was 0.770 for mammography and 0.548 for ultrasonography. In microcalcification positive group, coeffient of r was 0.772 for mammography and 0.570 for ultrasonography. In microcalcification negative group, coeffient of r was 0.806 for mammography and 0.783 for ultrasonography. Conclusion: Mammography was more accurate than ultrasonography in measuring the largest cancer diameter in DCIS of breast cancer. The correlation coefficient improved in the group of almost entirely fatty/ scattered areas of fibroglandular dense breast or in microcalcification negative group.

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