scholarly journals Modeling the Survival Time of Trading Companies in the Zachodniopomorskie Voivodship

2018 ◽  
Vol 4 (337) ◽  
pp. 85-97
Author(s):  
Iwona Markowicz
Keyword(s):  
Survival Time ◽  
Survival Function ◽  
Decision Makers ◽  
Trading Activity ◽  
Trading Company ◽  
Kaplan Meier ◽  
Set Up ◽  
The Impact

The aim of this study was to construct models of trading companies’ lifespan, in individual districts of Zachodniopomorskie Voivodship. The author verified whether the impact of the survival time of trading companies on the survival function in general is the same in individual districts. This may inform potential entrepreneurs’ decisions on whether to set up a trading or other company. The Kaplan‑Meier estimator was calculated and a tests verifying similarities of functions of trading companies within the districts was used. Districts were then divided into groups, according to trading companies’ lifespan. Further on, the functions of the intensity of companies’ liquidation for particular districts were analysed. The rankings of districts were compared in terms of the lifespan of trading companies and businesses in total. In the study, the author used REGON registry, containing data about companies established in Zachodniopomorskie Voivodship in 2009–2011. These entities were observed until the end of 2013. It is something to be considered by both decision makers and entrepreneurs, that the probability of liquidation of a trading company is greater than of any other company. Trading activity is prevailing (the highest percentage of all newly established companies are trading companies), however, trading companies are also most in danger of liquidation.

scholarly journals Cox proportion hazard model for patients with hepatitis disease in Iraq

2009 ◽  
Vol 6 (3) ◽  
pp. 612-617
Author(s):  
Baghdad Science Journal
Keyword(s):  
Regression Model ◽  
Survival Time ◽  
Cox Regression ◽  
Survival Function ◽  
Hazard Model ◽  
Cox Regression Model ◽  
Hepatic Diseases ◽  
Kaplan Meier

Cox regression model have been used to estimate proportion hazard model for patients with hepatitis disease recorded in Gastrointestinal and Hepatic diseases Hospital in Iraq for (2002 -2005). Data consists of (age, gender, survival time terminal stat). A Kaplan-Meier method has been applied to estimate survival function and hazerd function.

scholarly journals Factors Influencing the Survival of Preformed Zirconia Crowns in Children Treated under General Anesthesia

2021 ◽  
Vol 2021 ◽  
pp. 1-5
Author(s):  
Abdurahman S. Alhissan ◽  
Sharat Chandra Pani
Keyword(s):  
Confidence Interval ◽  
General Anesthesia ◽  
Survival Time ◽  
Mean Survival Time ◽  
Pulp Therapy ◽  
Anterior Teeth ◽  
Kaplan Meier ◽  
Zirconia Crowns ◽  
Rate Of Failure ◽  
The Impact

Aim. This study aimed to retrospectively evaluate the success of zirconia crowns placed in the anterior teeth of children and evaluate the impact of pulp therapy of the tooth on the rate of failure. Materials and Methods. A total of 70 anterior teeth of 20 children aged between 3 and 5 years who had undergone the placement of zirconia crowns under general anesthesia were followed up for 24 months. Kaplan–Meier Survival curves were plotted for the estimation of two-year survival time. The outcomes for teeth that had received pulp therapy were compared to those that had not received pulp therapy. Results. Kaplan–Meier survival analysis of 70 crowns observed over a two-year period showed that mean survival time for the crowns was 38.7 months with a confidence interval ranging from 38.1 months to 39.3 months. When the survival of the crowns was observed based on the presence or absence of symptoms, it was observed that only 4 out of the 70 crowns were symptomatic (with or without crown loss) at the end of two years, giving a success rate of 94.3%. The mean survival time was also increased to 39.5 months (confidence interval 39.15–39.98 months). Conclusion. Zirconia crowns provide an acceptable level of success and longevity. Crowns placed on teeth after pulp therapy are more likely to fail than those placed on teeth without pulp therapy.

The impact of the absence of planning laws on the capacity of the centers of the cities

2018 ◽  
Vol 6 (1) ◽  
pp. 1-12
Author(s):  
Mufeed E. Shouk
Keyword(s):  
Coming Out ◽  
Planning Process ◽  
Decision Makers ◽  
Foreign Investments ◽  
Service Projects ◽  
Per Capita ◽  
Set Up ◽  
Investment Process ◽  
The Impact ◽  
The City

All Iraqi cities also Erbil city are particularly significant growth since 2005 and so far because of great opening that took place and an increase in rates of economic growth which was reflected in the per capita income and the development of infrastructure and public services. Because of the big shortage in all kinds of service projects, residential and entertainment. decision maker adopting the idea of ​​investing in these areas and to develop and improve the reality after coming out of economic crises caused by wars over the country in general and the events experienced by the city of Irbil, in particular, and for the work and construction, attracting foreign investments had to be set up a facilities to investment firms and investors for the success of  the process decision makers  try to find the laws of planning or change the laws planning in according  to the wishes of investors and to stimulate the investment process and thus develop and improve services and meet the requirements without referring to the main reasons that the laws has set for it.  As is well known to urban planners that the laws designed to protect the uses of the land where you are trying to stop any abuses would confuse the planning process.

scholarly journals CXCL2 as a Prognostic Marker in Breast Cancer is Associated with Immune Infiltration and Regulated by miR-215

2020 ◽  
Author(s):  
Jia-Xiang An ◽  
Ying-Ying Chen ◽  
Zhao-Sheng Ma ◽  
Wen-Jie Yu ◽  
Jin-Xi Hu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Survival Time ◽  
Cancer Patients ◽  
Breast Cancer Patients ◽  
Clinical Prognosis ◽  
Immune Infiltration ◽  
Kaplan Meier ◽  
The Impact ◽  
Kaplan Meier Plotter ◽  
Low Expression

Abstract Background: CXCL2 is a part of chemokine superfamily, which encodes secretory proteins involved in immune regulation and inflammation. The correlation between CXCL2 and prognosis of different cancers, tumor infiltrating lymphocytes are not clear. Methods: We analyzed the expression of CXCL2 and its effect on clinical prognosis through Oncomine database, Tumor Immune Estimation Resource (TIMER) website, Kaplan-Meier plotter, PrognoScan database and Gene Expression Profiling Interactive Analysis (GEPIA). TIMER and GEPIA were used to analyze the correlation between CXCL2 and the gene marker of immune infiltration. StarBase was used to predict the miRNA that may regulate CXCL2. The relationship between miR-532-5p and CXCL2 was detected by qRT-PCR. Kaplan-Meier plotter was used to evaluate the impact of miR-532-5p on clinical prognosis. Results: PrognoScan, Kaplan-Meier plotter and GEPIA database analysis showed that low expression of CXCL2 was associated with poor disease-specific survival time (DSS), relapse-free survival time (RFS) and overall disease survival (OS) in breast cancer patients. In addition, low expression of CXCL2 was associated with poor OS and RFS in patients with lymph node positive breast cancer. CXCL2 expression was positively correlated with the infiltration of B cells, CD4+T and CD8+T cells, neutrophils and dendritic cells (DCs) in BRCA, mainly in Luminal breast cancer. MiR-532-5p can directly regulate CXCL2 expression. High miR-532-5p expression is significantly correlated with HER2 negative, grade 2 and 3 and poor OS in patients with HER+ER- breast cancer. Conclusion: CXCL2 is closely related to the prognosis and immune infiltration level of breast cancer patients, it can be regulated by miR-532-5p.

scholarly journals Predictors of survival after second surgery for recurrent glioblastoma tumours

2015 ◽  
Vol 42 (S1) ◽  
pp. S46-S46
Author(s):  
A Kilian ◽  
K Parvez ◽  
E Monsalves ◽  
S Larjani ◽  
G Klironomos ◽  
...  
Keyword(s):  
Survival Time ◽  
Median Survival ◽  
Median Survival Time ◽  
Chart Review ◽  
Elective Surgery ◽  
Retrospective Chart Review ◽  
Recurrent Glioblastoma ◽  
Kaplan Meier ◽  
Second Surgery ◽  
The Impact

Background: The impact of second surgery on recurrence remains unclear, with few definitive studies to date. This study sought to identify major predictors of survival after second surgery. Methods: A retrospective chart review was conducted for 21 patients who underwent elective surgery for GBM recurrence, at our institution, in the past 6 years. Kaplan Meier was applied to determine the significance of the variables on survival time. The Mann Whitney U test was used to determine whether the median survival time differed significantly between groups, for the factors of interest. Results: Among variables examined, age, less than ≥50 (P=0.04) was significant. Patients younger than 50, had a median survival period of 11.8 months, while patients, age 50 or older, survived a median time of 4.2 months. Though chemotherapy after reoperation was not found to statistically significantly extend survival time on Kaplan-Meier (P=0.08), the median survival time was found to be significantly higher in patients that received chemotherapy (10.6 months) after reoperation, compared with those who did not (3.9 months), using the Mann Whitney U test (P=0.05). Conclusions: These results confirm that younger patients survive longer after second surgery and indicate that a second round of chemotherapy may prolong survival.

scholarly journals A novel estimator of survival without assumption of censored survival time

2021 ◽  
Author(s):  
Shee-Ping Chen
Keyword(s):  
Survival Time ◽  
Survival Function ◽  
Event Data ◽  
Time To Event ◽  
Survival Probabilities ◽  
Time To Event Data ◽  
Kaplan Meier

Abstract The Kaplan-Meier estimator is commonly used to analyze time-to-event data, but it may over estimate the survival function when censored events occur. Several methods have been developed to adjust the traditional Kaplan-Meier estimator. Most of these adjusted methods are based on their assumptions for survival time of censored events. We here propose a novel estimator of survival without assumption of censored survival time, and it gives sensible estimates of survival probabilities in various censoring conditions.

scholarly journals Evaluation of the French reactive mortality surveillance system supporting decision making

2018 ◽  
Vol 29 (4) ◽  
pp. 601-607 ◽  
Author(s):  
Yasmine Baghdadi ◽  
Anne Gallay ◽  
Céline Caserio-Schönemann ◽  
Anne Fouillet
Keyword(s):  
Surveillance System ◽  
Decision Makers ◽  
Control Measures ◽  
Syndromic Surveillance System ◽  
Early Evaluation ◽  
National Mortality ◽  
Anonymized Data ◽  
Set Up ◽  
The Impact ◽  
Mortality Surveillance

Abstract Background In France, a mortality syndromic surveillance system was set up with objectives of early detection and reactive evaluation of the impact of expected and unexpected events to support decision makers. This study aims to describe the characteristics of the system and its usefulness for decision makers. Methods Anonymized data from the administrative part of death certificates were daily collected from 3062 computerized city halls and were transmitted to Santé publique France in routine. Coverage of the system was measured as the proportion of deaths registered by the system among the complete number of deaths and analyzed by age, month and region. Deaths were described by gender, age and geographical level using proportion. The excess periods of deaths were described based on the comparison of the weekly observed and expected numbers of deaths between 2012 and 2016. Results The system recorded 77.5% of the national mortality covering the whole territory. About 81% of deaths were aged 65 years old and more. The surveillance system identified mortality variations mainly during winter and summer, for some concomitant with influenza epidemic or heatwave period, and thus provided information for decision makers. Conclusion The ability of the system to detect and follow mortality outbreaks in routine in the whole territory has been demonstrated. It is a useful tool to provide early evaluation of the impact of threats on mortality and alert decision makers to adapt control measures. However, the absence of information on medical causes of death may limit the ability to target recommendations.

MOTIF DAN DAMPAK PERNIKAHAN DINI DI INDARUNG NGALAU BATU GADANG

2018 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Murisal Murisal
Keyword(s):  
Young Men ◽  
Early Marriage ◽  
Marriage Law ◽  
Men And Women ◽  
Home Life ◽  
Family Household ◽  
Set Up ◽  
The Impact ◽  
Husband And Wife

Motif and Impact of Early Marriage in Indarung Ngalau Batu Gadang.Penelitian is motivated by teenagers who married early on. Today, young men and women have a tendency to be less prepared to enter the home life, they are only ready to marry (ready here can be interpreted, maturity in terms of financial, understand what the meaning of marriage according to marriage law) is the bond of inner birth between a man and a woman as husband and wife for the purpose of forming a happy and eternal family (household) based on the Supreme Godhead while they are not ready to set up a home, whereas to build a household requires preparation both physically and spiritually . The purpose of this study to determine the motives underlying adolescents to make early marriage and the impact caused in the household as a result of the marriage.

What is the Business with AI? Preparing Future Decision Makers and Leaders

2020 ◽  
Author(s):  
Helena S. Wisniewski
Keyword(s):  
Data Science ◽  
Decision Makers ◽  
Management Skills ◽  
Business Courses ◽  
College Of Business ◽  
College Of Engineering ◽  
Investment Firm ◽  
Business Curricula ◽  
The University ◽  
The Impact

With companies now recognizing how artificial intelligence (AI), digitalization, the internet of things (IoT), and data science affect value creation and the maintenance of a competitive advantage, their demand for talented individuals with both management skills and a strong understanding of technology will grow dramatically. There is a need to prepare and train our current and future decision makers and leaders to have an understanding of AI and data science, the significant impact these technologies are having on business, how to develop AI strategies, and the impact all of this will have on their employees’ roles. This paper discusses how business schools can fulfill this need by incorporating AI into their business curricula, not only as stand-alone courses but also integrated into traditional business sequences, and establishing interdisciplinary efforts and collaborative industry partnerships. This article describes how the College of Business and Public Policy (CBPP) at the University of Alaska Anchorage is implementing multiple approaches to meet these needs and prepare future leaders and decision makers. These approaches include a detailed description of CBPP’s first AI course and related student successes, the integration of AI into additional business courses such as entrepreneurship and GSCM, and the creation of an AI and Data Science Lab in partnership with the College of Engineering and an investment firm.

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