1,361,362 research outputs found
Financing of health services and alternative methods: some suggestions
No full textPresenting Health Care should have priority because of importance of health care for individuals and society. Today, with understanding importance of this point different political ideas and economic ideas put a lot of effort to increase the individual’s productivity and average life expectation and improve investments on humanity. Even so, sometimes statistics on health services can be critter of structure of modern countries. (Average life expectation, percentage of baby death etc.) Providing effective and fair health service which is important as such as life itself limited to cost and question of finding the right sources to cover the cost. Slow economic growth, increasing unemployment, fast growing population are the main factors of increased cost of health services and those factors are appears as actual reasons of financial difficulties on agenda. Financial difficulties of health services will affect to quality and amount of services and also will be the main reason to bring out different methods of practice. But despite those differences, to provide quality health services to the individuals requires strong and continual financial sources. Financial difficulties of health services will affect to the services for individuals so therefore will effect to individuals health. So this essay originated from those important points, aims to explore the financial difficulties throughout historical development and at the same time will look for improvement and alternative managements.Health care services, financing and alternative methods
A Novel Stochastic Approach To Buffer Stock Problem
No full textIn this paper, the stochastic uctuation of buffer stock level at time t is investigated. Therefore, random walk processes X(t) and Y (t) with two specific barriers have been defined to describe the stochastic uctuation of the product level. Here X(t) = Y (t) - a and the parameter a specifies half capacity of the buffer stock warehouse. Next, the one-dimensional distribution of the process X(t) has calculated. Moreover, the ergodicity of the process X(t) has been proven and the exact formula for the characteristic function has been found. Then, the weak convergence theorem has been proven for the standardized process W(t) = X(t)/a, as a →∞ Additionally, exact and asymptotic expressions for the ergodic moments of the processes X(t) and Y (t) are obtained. © (2024) Isik University, Department of Mathematics, All Rights Reserved
A NOVEL STOCHASTIC APPROACH TO BUFFER STOCK PROBLEM
No full textIn this paper, the stochastic uctuation of buffer stock level at time t is investigated. Therefore, random walk processes X(t) and Y (t) with two specific barriers have been defined to describe the stochastic uctuation of the product level. Here X(t) = Y (t) - a and the parameter a specifies half capacity of the buffer stock warehouse. Next, the one-dimensional distribution of the process X(t) has calculated. Moreover, the ergodicity of the process X(t) has been proven and the exact formula for the characteristic function has been found. Then, the weak convergence theorem has been proven for the standardized process W(t) = X(t)/a, as a ?? Additionally, exact and asymptotic expressions for the ergodic moments of the processes X(t) and Y (t) are obtained. © (2024) Isik University, Department of Mathematics, All Rights Reserved.TOBB University of Economics and Technolog
Two-dimensional migration of a circular cylinder in Poiseuille flow
No full textMigration of a circular cylinder in plane Poiseuille flow simulation datase
The nucleation of Mo-rich Laves phase particles adjacent to M23C6 micrograin boundary carbides in 12% Cr tempered martensite ferritic steelsonli
No full textWe study the nucleation of Mo-rich Laves phase particles during aging and creep of 12 wt.% Cr tempered martensite ferritic steels (TMFS). Recently, in Isik et al. (2014) we reported that Laves phase particles tend to form at micrograin boundaries of TMFSs after Mo and Si had segregated from the ferritic matrix to these internal interfaces. In the present work, we employ transmission electron microscopy (TEM) and atom probe tomography (APT) to study the formation of Laves phase particles. We investigate the preference of Laves phase particles to nucleate next to M23C6 micrograin boundary carbides. Our results suggest that this joint precipitation effect is due to the combined segregation of Mo and Si from the matrix to the micrograin boundaries and Si and P enrichment around the growing carbides. Published by Elsevier Ltd. on behalf of Acta Materialia Inc.
Integral involving aleph-function and the generalized incomplete hypergeometric function
No full textThe aim of this paper is to establish a general definite integrals involving product of the Aleph function and generalized incomplete hypergeometric function with general arguments. Being unified and general in nature, this integral yield a number of known and new results as special cases. For the sake of illustration, several corollaries are also recorded here as special case of our main results. © 2020, Isik University.
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
DKH01-008_isik - Isik ‘Breasts’
No full textThis string figure represents breasts, an iconic symbol of a woman (even in Awiakay sign language, a sign for ‘woman’ is breasts), but breasts are also a symbol of belonging, relation and mutual social obligations. Even classificatory children are said to have drank from their classificatory mother’s breasts, meaning that that woman took care of them at some stage of their life as she would of her biological children. When the final design of this string figure emerges, two of the hanging loops might be shorter, the other two longer. The longer ones are said to be an old woman’s breasts, the shorter ones a young girl’s breasts. Images: 02: isik ‘breasts’ final design 03: Darja Munbaŋgoapik showing ‘the breasts’ . Language as given: Awiaka
Fuzzy parameterized fuzzy soft matrices and their application in decision-making
No full textIn this study, we define the concept of fuzzy parameterized fuzzy soft matrices (fpfs-matrices) and present some of their basic properties. By using fpfs-matrices, we then suggest a new algorithm, i.e. Prevalence Effect Method (PEM), and apply this method to a performance-based value assignment, so that we can order noise removal filters regarding performance. The results show that PEM has a potential for several areas, such as machine learning and image processing. Finally, we discuss fpfs-matrices and PEM for further research. © Isik University, Department of Mathematics, 2020
AI in Construction Risk Management
No full textThis study is about the effectiveness of artificial intelligence (AI) applications
in managing risks in construction industry. The aim is to explore the
capabilities of AI and automation for a better risk
management. Secondary research using Science Direct is conducted to
assess the capabilities of AI in risk management. Risks
faced in the construction sector such as safety incidents, schedule
setbacks, cost overruns, and delays in the delivery of materials. To
address these issues effectively, a thorough analysis and implementation
of mitigation strategies are essential. Adopting a data-driven strategy,
facilitated by AI, machine learning, and
sophisticated data collection technologies, can significantly enhance
risk management. These tools allow for real-time analysis, offering a
substantial benefit in proactively managing risks. Given that construction
projects often differ greatly in terms of location, weather, and other
factors, risk management must be tailored to each project's specific
needs, relying heavily on data analysis and forecasting. AI excels at
sifting through large volumes of data to identify trends and make
accurate predictions, thereby playing a pivotal role in enhancing risk
management strategies through proactive analysis. However, the major
finding is that despite the success of the advancements in AI, the construction industry faces challenges in prompt
adoption of advanced technologies. These challenges are mostly caused
by the cost and time needs to be invested as well as the lack of
knowledge about advanced technologies. This requires further studies to
find appropriate methods for implementation of advanced technologies
for construction industry
- …
