Efficiency of Turkish Provincial General Hospitals with Mortality as Undesirable Output

2015 ◽  
pp. 426-436
Author(s):  
Nurhan Davutyan ◽  
Murat Bilsel
Keyword(s):  
Hospital Performance ◽  
Seemingly Unrelated Regression ◽  
Spare Capacity ◽  
Second Stage ◽  
Critical Areas ◽  
Weak Disposability ◽  
Unrelated Regression ◽  
Bad Output ◽  
Distance Model

The authors present a directional distance model where quality of care is brought in by treating mortality in each hospital as a strongly disposable “bad output.” After deriving pure technical and scale inefficiencies under strong disposability, the authors derive “congestion” inefficiencies via allowing weak disposability. A second stage, “seemingly unrelated” regression of these inefficiencies against hospital level variables like spare capacity, inpatient-to-outpatient ratio, and bed turnover rate allows pinpointing the critical areas for hospital performance improvement. Evidence shows that the smallest hospitals are operating on an inefficient scale. Moreover, allocation of specialists should be done very carefully, as shortage of specialists seems to cause congestion inefficiency, while having too many specialists causes technical inefficiency.

scholarly journals The linkage between tourism development and quality of life: A Copula-based Seemingly Unrelated Regression (SUR) model

2021 ◽  
Vol 1978 (1) ◽  
pp. 012066
Author(s):  
Yuting Xue ◽  
Jianxu Liu ◽  
Pairach Piboonrungroj ◽  
Benjenop Buranasiri ◽  
Songsak Sriboonchitta
Keyword(s):  
Quality Of Life ◽  
Tourism Development ◽  
Seemingly Unrelated Regression ◽  
Unrelated Regression

Quality of Governance at the Communal Level in Poland: an Exploratory Study of the Worst Performer Case From the Opolskie Province

2020 ◽  
Vol 21 (1) ◽  
pp. 22-55
Author(s):  
Bartosz Czepil
Keyword(s):  
Exploratory Study ◽  
Quality Index ◽  
Extreme Case ◽  
Quality Level ◽  
Case Method ◽  
Major Conclusion ◽  
Second Stage ◽  
Quality Of Governance ◽  
Governance Quality

The objective of this paper is an attempt to explain the determinants of the lowest governance quality level in one of the communes of the Opolskie Province, Poland. The first stage of the research consisted in developing a commune-level governance quality index in order to measure the quality of governance in the 60 communes of the Opolskie Province. Subsequently, the commune with the lowest score in the index was qualified for the second stage of the research which was based on the extreme case method. The major conclusion from the research is that the commune leader's governance style which allowed him to hold on to power for many terms of office was responsible for generating low governance quality. Furthermore, the low quality of governance was not only the effect of the governance style but also the strategy aimed at remaining in the commune leader office for many terms.

Treatment Peculiarity of the Chronic Trophic Ulcers with Different Pathogenic Mechanism

2020 ◽  
Vol 62 (1) ◽  
pp. 12-16
Author(s):  
Oksana K. Melekhovets ◽  
Tetyana O. Kharchenko ◽  
Victor F. Orlovskiy ◽  
Iuirii V. Melekhovets ◽  
Alevtina S. Radko ◽  
...  
Keyword(s):  
Photodynamic Therapy ◽  
Healing Process ◽  
Modern Medicine ◽  
Lower Limbs ◽  
Chronic Venous Disease ◽  
Venous Disease ◽  
Second Stage ◽  
Group 2

Introduction: Trophic ulcers of the lower extremities are an unresolved problem of modern medicine. The treatment of this pathology requires new methods that optimize care regimens and improve patients’ quality of life. Aim: The study to improve efficacy of treatment of the patients with trophic ulcers of the lower limbs with consideration to pathogenesis. M aterials and Methods: The study included 32 patients with chronic venous disease C6 (1st group) and 31 with diabetes mellitus type 2, moderate severity, compensation stage with diabetic foot syndrome II stage according to Wagner’s classification (2nd group). In addition to basic therapy in both groups photodynamic therapy was added at the first stage of the study, and at the second stage plasma rich in growth factors was prescribed. Results: At baseline evaluating of the chronic venous disease demonstrates that a total score in patient of the 1st group was 20,9 points on a modified VCSS scale; after two weeks – 15,71 points (improvement by 24.83%), and 6 weeks after–9,72 points (improvement by 53.49%). In patients with DM (2nd group) at the baseline a total score average was 13,91 points according to S(AD)SAD-1 scale; after 2 weeks – 12,29 (improvement by 11,65%), after 6 weeks – 6,39 points (improvement by 54,06%). Conclusions: The inclusion of photodynamic therapy and plasmatherapy in complex therapy in both groups led to a significant improvement of the healing process and helps to reduce the depth and area of the wound surface. However, the wound healing in patients in group 2 was slower.

A Note on the Efficiency of Seemingly Unrelated Regression

1988 ◽  
Vol 42 (2) ◽  
pp. 137-139 ◽  
Author(s):  
James K. Binkley ◽  
Carl H. Nelson
Keyword(s):  
Seemingly Unrelated Regression ◽  
Unrelated Regression

Workplace disability and job satisfaction in Britain: A co-worker test?

2021 ◽  
pp. 0143831X2110142
Author(s):  
Getinet Astatike Haile
Keyword(s):  
Job Satisfaction ◽  
Negative Relationship ◽  
Organisational Culture ◽  
Seemingly Unrelated Regression ◽  
Unrelated Regression ◽  
Significant Negative Relationship ◽  
Using Data

The article examines the link between workplace disability (WD) and workplace job satisfaction (JS) using data from WERS2011. Controlling for a rich set of workplace characteristics including organisational culture, the study finds a significant negative relationship between JS and the share of disabled respondents within workplaces. Notably, Seemingly Unrelated Regression (SUR)-based analysis distinguishing between disabled and non-disabled respondents reveals that the negative relationship found is specific to non-disabled respondents. Moreover, disability equality policies are found to be significantly positively related with disabled respondents’ JS while they are negatively related with the JS of their non-disabled counterparts. The article ponders if there is a co-worker aspect to the WD–JS link and whether HR policies may need to take heed of co-worker dynamics in this respect.

A novel two-stage method of plant seedlings classification based on deep learning

2021 ◽  
pp. 1-11
Author(s):  
Tianhong Dai ◽  
Shijie Cong ◽  
Jianping Huang ◽  
Yanwen Zhang ◽  
Xinwang Huang ◽  
...  
Keyword(s):  
Deep Learning ◽  
Learning Technology ◽  
Two Stage ◽  
Second Stage ◽  
Stage Classification ◽  
Different Types ◽  
Two Stages ◽  
Plant Seedlings

In agricultural production, weed removal is an important part of crop cultivation, but inevitably, other plants compete with crops for nutrients. Only by identifying and removing weeds can the quality of the harvest be guaranteed. Therefore, the distinction between weeds and crops is particularly important. Recently, deep learning technology has also been applied to the field of botany, and achieved good results. Convolutional neural networks are widely used in deep learning because of their excellent classification effects. The purpose of this article is to find a new method of plant seedling classification. This method includes two stages: image segmentation and image classification. The first stage is to use the improved U-Net to segment the dataset, and the second stage is to use six classification networks to classify the seedlings of the segmented dataset. The dataset used for the experiment contained 12 different types of plants, namely, 3 crops and 9 weeds. The model was evaluated by the multi-class statistical analysis of accuracy, recall, precision, and F1-score. The results show that the two-stage classification method combining the improved U-Net segmentation network and the classification network was more conducive to the classification of plant seedlings, and the classification accuracy reaches 97.7%.

Determinan Kelaparan di Indonesia Tahun 2015-2019

2021 ◽  
Vol 2021 (1) ◽  
pp. 547-556
Author(s):  
Daniel M V Mone ◽  
Efri Diah Utami
Keyword(s):  
Sustainable Development ◽  
Sustainable Development Goals ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Seemingly Unrelated Regression ◽  
Unrelated Regression ◽  
Effect Model ◽  
Development Goals

Sustainable Development Goals (SDGs) adalah sebuah perencana aksi berskala global yang disepakati oleh para pemimpin dunia, termasuk Indonesia dengan tujuan mendorong pembangunan sosial, ekonomi dan lingkungan hidup. Salah satu dari 17 tujuan SDGs adalah mengakhiri kelaparan. Berdasarkan data yang dirilis Badan Pusat Statistik, salah satu pendekatan untuk mengukur tingkat kelaparan adalah proporsi penduduk dengan asupan kalori minimum di bawah 1400 kkal/kapita/hari.  Proporsi penduduk dengan asupan kalori minimum di bawah 1400 kkal/kapita/hari di Indonesia masih cukup tinggi dan terus mengalami peningkatan dari tahun 2017 hingga 2019. Penelitian ini bertujuan untuk menganalisis bagaimana gambaran umum dari tingkat kelaparan dan variabel-variabel yang diduga mempengaruhinya, serta  bagaimana pengaruh variabel-variabel tersebut terhadap tingkat kelaparan di Indonesia tahun 2015-2019. Hasil dari penelitian ini dapat digunakan untuk merumuskan kebijakan-kebijakan guna penuntasan kelaparan di Indonesia. Metode analisis yang digunakan adalah regresi data panel dengan menggunakan  fixed effect model yang diestimasi dengan metode Seemingly Unrelated Regression (SUR). Hasil dari penelitian ini menunjukkan bahwa variabel yang berpengaruh signifikan terhadap tingkat kelaparan adalah pengeluaran makanan dan harga beras, sedangkan jumlah penduduk miskin dan pendapatan perkapita tidak berpengaruh signifikan.

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