What are the determinants of survival curves of words?

2020 ◽  
Vol 2 (2) ◽  
Author(s):  
Freek Van de Velde ◽  
Alek Keersmaekers
Keyword(s):  
Survival Analysis ◽  
Statistical Methods ◽  
Historical Linguistics ◽  
Survival Rates ◽  
Evolutionary Approach ◽  
Short Paper ◽  
Survival Curves

Abstract An evolutionary approach to historical linguistics can be enlightening when not only the mechanisms, but also the statistical methods are considered from neighboring disciplines. In this short paper, we apply survival analysis to investigate what factors determine the lifespan of words. Our case study is on post-classical Greek from the 4th century BC to beginning of the 8th century AD. We find that lower frequency and phonetically longer lexemes suffer earlier deaths. Furthermore, verbs turn out to have higher survival rates than adjectives and nouns survival analysis.

scholarly journals Survival analysis after hip fracture: higher mortality than the general population and delayed surgery increases the risk at any time

2020 ◽  
Vol 30 (1_suppl) ◽  
pp. 54-58
Author(s):  
Maximiliano Barahona ◽  
Cristian Barrientos ◽  
Gabriel Cavada ◽  
Julián Brañes ◽  
Álvaro Martinez ◽  
...  
Keyword(s):  
Survival Analysis ◽  
Hip Fracture ◽  
General Population ◽  
Waiting Time ◽  
Survival Rates ◽  
Wait Time ◽  
Survival Curves ◽  
Delayed Surgery ◽  
Institutional Ethics ◽  
Kaplan Meier

Purpose: To estimate survival curves in patients with hip fracture according to gender, age, type of fracture, and waiting time for surgery and to compare them with the life expectancy of the general population. The study hypothesis is that survival after hip fractures is significantly lower than in the general population, especially in cases that underwent delayed surgery, regardless of age and gender. Methods: A survival analysis study was designed and approved by our institutional ethics review board. All patients who were coded with a diagnosis of hip fracture from 2002 to 2018 were included in the study. A total of 1176 patients were included, and the median age was 81 years (18–105 years). Kaplan-Meier curves and log-rank tests were performed to compare survival curves between those who underwent surgery on time and those with surgical delays. An exponential multivariate regression model was estimated, and a hazard ratio (HR) was reported for age, gender, and wait time for surgery. A significance of 5% was used, and a confidence interval level of 95% was reported. Results: The Kaplan-Meier curves for delayed surgery (log-rank, p = 0.00) and the age group (log-rank, p = 0.00) were significantly different. Exponential regression estimated an HR 1.05 (1.05–1.07) for age, HR 1.80 (1.51–2.13) for men, and HR 1.93 (1.61–2.31) for each day of wait for surgery. Conclusions: The 2 significant findings of this study are that hip fracture patients over 40 years old have a higher risk of dying at any time compared to the general population and that the waiting time for surgery (a modifiable factor) decreases survival rates at any time.

Scales and Units

2018 ◽  
Author(s):  
Kathryn M. de Luna
Keyword(s):  
Language Change ◽  
Historical Linguistics ◽  
Bantu Languages ◽  
The North ◽  
First Case ◽  
Linguistic Evidence ◽  
River Region ◽  
History Of ◽  
Alternative Approaches

This chapter uses two case studies to explore how historians study language movement and change through comparative historical linguistics. The first case study stands as a short chapter in the larger history of the expansion of Bantu languages across eastern, central, and southern Africa. It focuses on the expansion of proto-Kafue, ca. 950–1250, from a linguistic homeland in the middle Kafue River region to lands beyond the Lukanga swamps to the north and the Zambezi River to the south. This expansion was made possible by a dramatic reconfiguration of ties of kinship. The second case study explores linguistic evidence for ridicule along the Lozi-Botatwe frontier in the mid- to late 19th century. Significantly, the units and scales of language movement and change in precolonial periods rendered visible through comparative historical linguistics bring to our attention alternative approaches to language change and movement in contemporary Africa.

scholarly journals Increased VEGF-A in solid type of lung adenocarcinoma reduces the patients’ survival

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Woon Yong Jung ◽  
Kyueng-Whan Min ◽  
Young Ha Oh
Keyword(s):  
Immune Response ◽  
Survival Analysis ◽  
Lung Adenocarcinoma ◽  
Survival Rates ◽  
Treatment Strategies ◽  
Enrichment Analysis ◽  
Genetic Alterations ◽  
Gene Set Enrichment Analysis ◽  
The Cancer Genome Atlas ◽  
Solid Type

AbstractThe histological classification of lung adenocarcinoma includes 5 types: lepidic, acinar, papillary, micropapillary and solid. The complex gene interactions and anticancer immune response of these types are not well known. The aim of this study was to reveal the survival rates, genetic alterations and immune activities of the five histological types and provide treatment strategies. This study reviewed the histological findings of 517 patients with lung adenocarcinoma from The Cancer Genome Atlas (TCGA) database and classified them into five types. We performed gene set enrichment analysis (GSEA) and survival analysis according to the different types. We found six oncogenic gene sets that were higher in lung adenocarcinoma than in normal tissues. In the survival analysis of each type, the acinar type had a favorable prognosis, and the solid subtype had an unfavorable prognosis; however, the survival differences between the other types were not significant. Our study focused on the solid type, which had the poorest prognosis. The solid type was related to adaptive immune resistance associated with elevated CD8 T cells and high CD274 (encoding PD-L1) expression. In the pathway analyses, the solid type was significantly related to high vascular endothelial growth factor (VEGF)-A expression, reflecting tumor angiogenesis. Non-necrosis/low immune response affected by high VEGF-A was associated with worse prognosis. The solid type associated with high VEGF-A expression may contribute to the development of therapeutic strategies for lung adenocarcinoma.

EVOLUTIONARY APPROACH IN PROCESS IMPROVEMENT — A CASE STUDY IN AUTO ELECTRICAL ALTERNATOR MANUFACTURING

2012 ◽  
Vol 11 (01) ◽  
pp. 27-50 ◽  
Author(s):  
A. J. JEGADHEESON ◽  
L. KARUNAMOORTHY ◽  
N. ARUNKUMAR ◽  
A. BALAJI ◽  
M. RAJKAMAL
Keyword(s):  
Process Improvement ◽  
Manufacturing Process ◽  
Welding Process ◽  
Evolutionary Approach ◽  
Geometrical Analysis ◽  
Designed Experiments ◽  
Self Development ◽  
Riveting Process

Evolution is "understanding and overcoming current constraints in small steps toward optimum." "Understanding" requires elucidation of facts and corroborating theories that can explain those facts in a coherent manner. "Overcoming" requires self-development to suit the environment. In this paper, a case study about how a manufacturing process is improved in terms of productivity and quality using evolutionary improvements is explained. Here "Understanding" is achieved through use of Shainin Technique, PM analysis, Affinity Diagram, and the engineer's ingenuity, along with Relations diagram. "Overcoming" is achieved through Geometrical Analysis and Designed Experiments. The Study has set a new benchmark in the Stator riveting process by proving it can yield the desired results, and the need to adapt welding process is avoided.

The Limits of Observation for Understanding Mass Violence

2015 ◽  
Vol 30 (02) ◽  
pp. 237-257 ◽  
Author(s):  
Megan Price ◽  
Patrick Ball
Keyword(s):  
Empirical Evidence ◽  
Statistical Methods ◽  
Transitional Justice ◽  
Historical Memory ◽  
Legal Responsibility ◽  
Mass Violence ◽  
Different Types ◽  
Observable Data ◽  
Quantitative Analyses

Abstract Quantitative analyses have the potential to contribute to transitional justice mechanisms, via empirical evidence supporting the memory of victims, allocating proportional responsibility among perpetrators, determining legal responsibility, and supporting historical memory and clarity. However, most data available in transitional justice settings are incomplete. Conducting quantitative analyses relying solely on what is observable and knowable leads to not only incomplete but often incorrect analytical results. This can harm rather than contribute to transitional justice mechanisms. This article outlines different types of data, the ways in which observable data, on their own, are insufficient for most quantitative analyses of interest, presents these limitations via a case study from Syria, and introduces statistical methods to overcome these limitations.

The US brewing industry, strategic windows and survival

2014 ◽  
Vol 20 (4) ◽  
pp. 434-458 ◽  
Author(s):  
Lynn A. Walter ◽  
Linda F. Edelman ◽  
Keneth J. Hatten
Keyword(s):  
Dynamic Capabilities ◽  
Survival Rates ◽  
Second Phase ◽  
Brewing Industry ◽  
Content Type ◽  
Operational Capabilities ◽  
Select Group ◽  
The Us ◽  
The Usa

Purpose – This paper aims to investigate how dynamic capabilities enabled survival in a select group of brewers, during one of the lengthiest and most severe industry consolidations in history. In doing so, we advance Abell’s (1978) theory of strategic windows through integration with the resource-based view of the firm. Design/methodology/approach – Using a mixed method approach, we first apply case study methods to develop hypotheses around the timing and level of operational capability required for survival. In the second phase, we test these hypothesized estimations on the USA Brewing population. Findings – Indicate that brewers which had advanced distribution and manufacturing operational capabilities before the strategic window of opportunity closed had higher survival rates. Practical implications – This study reinforces the importance of making timely strategic investments in capabilities. Originality/value – The integration of strategic window and capability theories advances our understanding of the roles that capabilities and time play in determining firm survival.

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