Factors Influencing the Lifetime of Telecommunication and Information Technology Standards

Author(s):  
Knut Blind

Besides these very conceptual or theoretical approaches to deal with standards dynamics, several case study analyses exist, which focus on the standard maintenance and succession (Egyedi, Loeffen 2002) in order to answer the question how to deal with heritage relations between standards and on standard integrity (Egyedi, Hudson 2005) and in order to discuss control mechanisms that safeguard the integrity of (de facto) standards. This paper adds an additional methodological dimension to the analysis of the dynamics of standards by a strong focus on the life times of standards. The contribution of this paper to the emerging research on the dynamics of standards is twofold. First, the descriptive presentation of life times of standards focusing both on average publication years and survival times reflects on the one hand the historical development of ICT over time and on the other hand its dynamics in the various subfields. So far other indicators like scientific publications or patent applications are used to describe the development especially of new technologies, e. g. biotechnology or nanotechnology. The analysis of publications of standard documents extends the former exercises by a new more market and diffusion related dimension. Second, the characteristics of standard documents are used to explain their life times. Here we borrow for the first time general approaches from bibliometrics and patent analysis in order to explain life times of standards as indicator for their value by documents’ characteristics. The remainder of the paper is structured as follows. First, we analyse the average lifetimes of standards in a quantitative manner, taking into account differences between countries. Since the simple approach of calculating the average lifetimes of historical standards does not allow us to include standards which are still alive, we have to apply a more sophisticated methodology, the so-called survival analysis, which was initially mainly applied in medical science. The application of this statistical approach produces average lifetimes of standards, taking into account the expected lifetime of standards which are still valid. This approach is crucial, especially for the analysis of ICT standards, because the number of valid standards relative to historical standards is rather high. Due to the very high relevance of international standards in the ICT sector and the high quality of this subsample, we concentrate the survival analysis espeically on the international standards including the standards released by the European standardisation bodies. The results of this analysis provide us with new insights about the expected lifetimes of standards differentiated by technology in the ICT area. The final step of our analysis tries to answer the question which causal factors influence the lifetimes of standards in the ICT sector. We present first insights by applying the so-called Cox regression, which allows us to identify whether some selected characteristics of a standard, like cross references or references to international standards, have a significant impact on its actual or expected lifetime. The approach to assess the importance of a technical document by analysing its references to other documents or being referenced in other documents has a long tradition in evaluating the value of patents by counting and analysing their citations. The paper concludes with a brief summary of the main results, but also with some general recommendations regarding standardisation processes and the maintenance of standards derived from the new insights.

2021 ◽  
Author(s):  
Shekoufeh Gorgi Zadeh ◽  
Charlotte Behning ◽  
Matthias Schmid

Abstract With the popularity of deep neural networks (DNNs) in recent years, many researchers have proposed DNNs for the analysis of survival data (time-to-event data). These networks learn the distribution of survival times directly from the predictor variables without making strong assumptions on the underlying stochastic process. In survival analysis, it is common to observe several types of events, also called competing events. The occurrences of these competing events are usually not independent of one another and have to be incorporated in the modeling process in addition to censoring. In classical survival analysis, a popular method to incorporate competing events is the subdistribution hazard model, which is usually fitted using weighted Cox regression. In the DNN framework, only few architectures have been proposed to model the distribution of time to a specific event in a competing events situation. These architectures are characterized by a separate subnetwork/pathway per event, leading to large networks with huge amounts of parameters that may become difficult to train. In this work, we propose a novel imputation strategy for data preprocessing that incorporates the subdistribution weights derived from the classical model. With this, it is no longer necessary to add multiple subnetworks to the DNN to handle competing events. Our experiments on synthetic and real-world datasets show that DNNs with multiple subnetworks per event can simply be replaced by a DNN designed for a single-event analysis without loss in accuracy.


Author(s):  
Л. Е. Бєловецька

The problem of external independent evaluation in English for admission Master`s degree programs in Ukraine is considered in the article. The perspective for further improvement of English teaching and learning standards at Ukrainian universities has been found. The correspondence to the CEFR basic levels and English proficiency has been identified. Conceptual Principles of State Policy on the Development of English in the Field of Higher Education are considered. The study included 1546 participants. The age of students, who studied to gain the first higher education, was between 17 and 20. The students were not familiar with the structure of External Independent Evaluation and they have never passed it. The research was carried out during the period 2018–2019. The relevance of English language competence in the professional context is noted emphasized as a key point of the presented research. The necessity to provide a sufficient competitive level for Ukrainian graduates through improving correspondent English language training has been considered. The study is based on a study of reports by British experts and contemporary scientific publications presented international researchers have focused on the problems of internationalization and perspectives for Ukrainian universities in the English language dimension. The relevance of studying and adaptation of the UK higher education successful practice has been highlighted. The problems and potential ways of improving students` English language proficiency in the given context are identified. In particular, the study contains important recommendations regarding the number of contact hours and the required levels of English proficiency for the main groups of participants in the educational process in higher education according to international standards.


2017 ◽  
Vol 2 (2) ◽  
Author(s):  
Marine Vekua

The main goal of this research is to determine whether the journalism education of the leading media schools inGeorgia is adequate to modern media market’s demands and challenges. The right answer to this main questionwas found after analyzing Georgian media market’s demands, on the one hand, and, on the other hand, differentaspects of journalism education in Georgia: the historical background, development trends, evaluation ofeducational programs and curricula designs, reflection of international standards in teaching methods, studyingand working conditions.


Author(s):  
Timur Ergen

This chapter brings together arguments from economics, sociology, and political economy to show that innovation processes are characterized by a dilemma between the advantages of aligned expectations—including greater coordination and investment—and those of diversity, including superior openness to new technological possibilities. To illustrate the argument, the chapter discusses a historical case involving one of the largest coordinated peace-time attempts to hasten technological innovation in the history of capitalism, namely the US energy technology policies of the 1970s and 1980s. Close examination of the commercialization of photovoltaics and synthetic fuel initiatives illustrates both sides of the dilemma between shared versus diverse expectations in innovation: coordination but possible premature lock-in on the one hand, and openness but possible stagnation on the other. The chapter shows that even the exploration and interpretation of new technologies may be as much a product of focused investment as of trial-and-error search.


2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Ilari Kuitunen ◽  
Ville T. Ponkilainen ◽  
Mikko M. Uimonen ◽  
Antti Eskelinen ◽  
Aleksi Reito

Abstract Background Survival analysis and effect of covariates on survival time is a central research interest. Cox proportional hazards regression remains as a gold standard in the survival analysis. The Cox model relies on the assumption of proportional hazards (PH) across different covariates. PH assumptions should be assessed and handled if violated. Our aim was to investigate the reporting of the Cox regression model details and testing of the PH assumption in survival analysis in total joint arthroplasty (TJA) studies. Methods We conducted a review in the PubMed database on 28th August 2019. A total of 1154 studies were identified. The abstracts of these studies were screened for words “cox and “hazard*” and if either was found the abstract was read. The abstract had to fulfill the following criteria to be included in the full-text phase: topic was knee or hip TJA surgery; survival analysis was used, and hazard ratio reported. If all the presented criteria were met, the full-text version of the article was then read. The full-text was included if Cox method was used to analyze TJA survival. After accessing the full-texts 318 articles were included in final analysis. Results The PH assumption was mentioned in 114 of the included studies (36%). KM analysis was used in 281 (88%) studies and the KM curves were presented graphically in 243 of these (87%). In 110 (45%) studies, the KM survival curves crossed in at least one of the presented figures. The most common way to test the PH assumption was to inspect the log-minus-log plots (n = 59). The time-axis division method was the most used corrected model (n = 30) in cox analysis. Of the 318 included studies only 63 (20%) met the following criteria: PH assumption mentioned, PH assumption tested, testing method of the PH assumption named, the result of the testing mentioned, and the Cox regression model corrected, if required. Conclusions Reporting and testing of the PH assumption and dealing with non-proportionality in hip and knee TJA studies was limited. More awareness and education regarding the assumptions behind the used statistical models among researchers, reviewers and editors are needed to improve the quality of TJA research. This could be achieved by better collaboration with methodologists and statisticians and introducing more specific reporting guidelines for TJA studies. Neglecting obvious non-proportionality undermines the overall research efforts since causes of non-proportionality, such as possible underlying pathomechanisms, are not considered and discussed.


Electronics ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 1208
Author(s):  
Francisco Alonso ◽  
Mireia Faus ◽  
Cristina Esteban ◽  
Sergio A. Useche

Technological devices are becoming more and more integrated in the management and control of traffic in big cities. The population perceives the benefits provided by these systems, and, therefore, citizens usually have a favorable opinion of them. However, emerging countries, which have fewer available infrastructures, could present a certain lack of trust. The objective of this work is to detect the level of knowledge and predisposition towards the use of new technologies in the transportation field of the Dominican Republic. For this study, the National Survey on Mobility was administered to a sample of Dominican citizens, proportional to the ONE census and to sex, age and province. The knowledge of ITS topics, as well as the use of mobile applications for mobility, are scarce; however, there was a significant increase that can be observed in only one year. Moreover, technology is, in general, positively assessed for what concerns the improvement of the traffic field, even though there is a lack of predisposition to provide one’s personal data, which is necessary for these devices. The process of technological development in the country must be backed up by laws that protect the citizens’ privacy. Thus, technologies that can improve road safety, mobility and sustainability can be implemented in the country.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Parunya Chaiyawat ◽  
Areerak Phanphaisarn ◽  
Nutnicha Sirikaew ◽  
Jeerawan Klangjorhor ◽  
Viraporn Thepbundit ◽  
...  

AbstractOsteosarcoma is one of the most aggressive bone tumors in children and adolescents. Development of effective therapeutic options is still lacking due to the complexity of the genomic background. In previous work, we applied a proteomics-guided drug repurposing to explore potential treatments for osteosarcoma. Our follow-up study revealed an FDA-approved immunosuppressant drug, mycophenolate mofetil (MMF) targeting inosine-5′-phosphate dehydrogenase (IMPDH) enzymes, has an anti-tumor effect that appeared promising for further investigation and clinical trials. Profiling of IMPDH2 and hypoxanthine–guanine phosphoribosyltransferase (HPRT), key purine-metabolizing enzymes, could deepen understanding of the importance of purine metabolism in osteosarcoma and provide evidence for expanded use of MMF in the clinic. In the present study, we investigated levels of IMPDH2, and HPRT in biopsy of 127 cases and post-chemotherapy tissues in 20 cases of high-grade osteosarcoma patients using immunohistochemical (IHC) analysis. Cox regression analyses were performed to determine prognostic significance of all enzymes. The results indicated that low levels of HPRT were significantly associated with a high Enneking stage (P = 0.023) and metastatic status (P = 0.024). Univariate and multivariate analyses revealed that patients with low HPRT expression have shorter overall survival times [HR 1.70 (1.01–2.84), P = 0.044]. Furthermore, high IMPDH2/HPRT ratios were similarly associated with shorter overall survival times [HR 1.67 (1.02–2.72), P = 0.039]. Levels of the enzymes were also examined in post-chemotherapy tissues. The results showed that high IMPDH2 expression was associated with shorter metastasis-free survival [HR 7.42 (1.22–45.06), P = 0.030]. These results suggest a prognostic value of expression patterns of purine-metabolizing enzymes for the pre- and post-chemotherapy period of osteosarcoma treatment.


2020 ◽  
pp. 1-18
Author(s):  
Elena Zarova ◽  
Dr Konstantin Laykam ◽  
Elvira Dubravskaya ◽  
Sergey Musikhin

This article describes on the one hand statistical methods for assessing informal employment based on the requirements as set by international standards. On the other hand it describes the potential of integrating various data sources to generate informal employment statistics. With as example official statistics of the Russian Federation, the authors show the features of applying the requirements of international standards. Methods are proposed for assessing informal employment in the formal sector of the economy, i.e. in enterprises that submit employment reports to the National Statistical Office. This phenomenon appears in the employment situation of many countries. However, there is no uniformity between countries in how they evaluate the application of the international standards in such assessment exercises. A theoretical model of informal employment is developed and validated based on statistical data published by international organizations. The validation focuses on assessing the causal relationships between informal employment indicators and the main components of the sustainable development goals. This analysis contributes to coordinated decisions on regulating informal employment and ensuring the achievement of the Sustainable Development Goals (SDGs).


2019 ◽  
Vol 29 (5) ◽  
pp. 1447-1465 ◽  
Author(s):  
DE McGregor ◽  
J Palarea-Albaladejo ◽  
PM Dall ◽  
K Hron ◽  
SFM Chastin

Survival analysis is commonly conducted in medical and public health research to assess the association of an exposure or intervention with a hard end outcome such as mortality. The Cox (proportional hazards) regression model is probably the most popular statistical tool used in this context. However, when the exposure includes compositional covariables (that is, variables representing a relative makeup such as a nutritional or physical activity behaviour composition), some basic assumptions of the Cox regression model and associated significance tests are violated. Compositional variables involve an intrinsic interplay between one another which precludes results and conclusions based on considering them in isolation as is ordinarily done. In this work, we introduce a formulation of the Cox regression model in terms of log-ratio coordinates which suitably deals with the constraints of compositional covariates, facilitates the use of common statistical inference methods, and allows for scientifically meaningful interpretations. We illustrate its practical application to a public health problem: the estimation of the mortality hazard associated with the composition of daily activity behaviour (physical activity, sitting time and sleep) using data from the U.S. National Health and Nutrition Examination Survey (NHANES).


2021 ◽  
pp. 102111
Author(s):  
Ryan Alexander Hickmott ◽  
Abdulhameed Bosakhar ◽  
Sebastian Quezada Rojas ◽  
Mikaela Barresi ◽  
David Walker ◽  
...  
Keyword(s):  
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