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Institution

Zonguldak Karaelmas University

About: Zonguldak Karaelmas University is a based out in . It is known for research contribution in the topics: Population & Copolymer. The organization has 1939 authors who have published 4296 publications receiving 62466 citations.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors applied the Navier-Stokes problem and incorporated the Vening Meinesz-Moritz inverse problem of isostasy to calculate the sub-crustal stress on Mars.

40 citations

Journal ArticleDOI
01 Feb 2019-Optik
TL;DR: In this article, a new solar-sensitive zinc oxide doped amorphous carbon (Al/ZnO-a:C/p-Si/Al) photodiode was fabricated using the electrochemical deposition technique.

40 citations

Journal ArticleDOI
TL;DR: A combination of tramadol plus adrenaline provided a local anaesthetic effect similar to that of lidocaine plus adrenaline during surgery to repair hand tendons.
Abstract: This double-blind pilot study compared the local anaesthetic effects of tramadol plus adrenaline with lidocaine plus adrenaline during surgery to repair hand tendons. Twenty patients were randomly allocated to receive either 5% tramadol plus adrenaline (n = 10) or 2% lidocaine plus adrenaline (n = 10). Injection site pain and local skin reactions were recorded. At 1-min intervals after injection of the anaesthetic agent, the degree of sensory blockade was assessed by the patient reporting the extent to which they felt a pinprick, light touch and a cold sensation. Pain felt during surgical incision was also recorded. There was no difference in the quality of sensory blockade or the incidence of side effects between the two groups. Only patients treated with tramadol did not require additional post-operative analgesia. A combination of tramadol plus adrenaline provided a local anaesthetic effect similar to that of lidocaine plus adrenaline.

40 citations

Journal ArticleDOI
TL;DR: It is proved that SSK-NOMA outperforms conventional NOMA networks in terms of all performance metrics (i.e., BER, sum rate, outage).
Abstract: In this paper, we consider the combination between two promising techniques: space-shift keying (SSK) and non-orthogonal multiple access (NOMA) for future radio-access networks. We analyze the performance of SSK-NOMA networks and provide a comprehensive analytical framework of SSK-NOMA regarding bit error probability (BEP), ergodic capacity, and outage probability. It is worth pointing out that all analysis also stand for conventional SIMO-NOMA networks. We derive closed-form exact average BEP (ABEP) expressions when the number of users in a resource block is equal to three (i.e., $L=3$ ). Nevertheless, we analyze the ABEP of users when the number of users is more than three, i.e., $L\geq 3$ , and derive bit-error-rate (BER) union bound since the error propagation due to iterative successive interference canceler (SIC) makes the exact analysis intractable. Then, we analyze the achievable rate of users and derive exact ergodic capacity of the users, so the ergodic sum rate of the system is in closed forms. Moreover, we provide the average outage probability of the users exactly in the closed form. All derived expressions are validated via Monte Carlo simulations and it is proved that SSK-NOMA outperforms conventional NOMA networks in terms of all performance metrics (i.e., BER, sum rate, outage). Finally, the effect of the power allocation (PA) on the performance of SSK-NOMA networks is investigated, and the optimum PA is discussed under BER and outage constraints.

40 citations

Journal ArticleDOI
TL;DR: It is shown that patients without mutations are mostly from non-familial cases, have fewer reproductive losses, and more live births, and that patients with recurrent hydatidiform moles and no mutations in the known genes are, in general, different from those with mutations; they have a milder genetic susceptibility and/or a multifactorial etiology underlying their recurrent hyd atidiformmoles.

40 citations


Authors

Showing all 1939 results

NameH-indexPapersCitations
Ramón Martínez-Máñez7354924257
Roy L. Johnston5529013604
Riccardo Ferrando5025613688
Alessandro Fortunelli472779080
Levent Altinay441555164
Mehmet Kanter401486045
Shuanggen Jin403745024
Chandra M. Sehgal392075270
Giovanni Barcaro361323778
Baki Hazer361944420
Ferah Armutcu33653630
Ahmet Gürel33983525
Christine Mottet31614108
Michael P. Shaver301143014
Ahmet Avcı291903087
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20228
2021383
2020411
2019305
2018256
2017280