Institution
Military Academy
About: Military Academy is a based out in . It is known for research contribution in the topics: Population & Fuzzy logic. The organization has 2478 authors who have published 3003 publications receiving 33188 citations.
Topics: Population, Fuzzy logic, Antenna (radio), Adsorption, Thin film
Papers published on a yearly basis
Papers
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TL;DR: In this paper, a possible association between HLA antigens and transitional cell carcinoma of the bladder was searched for in 56 patients and 200 healthy kidney donors in the United States.
Abstract: A possible association between HLA antigens and transitional cell carcinoma of the bladder was searched for in 56 patients and 200 healthy kidney donors. Statistical analysis showed that HLA antigens
8 citations
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TL;DR: In this article, the optical and electrical properties were examined with attention focused on the cumulative diameter of lead telluride NPs for various stabilizing agents, and the influence of surfactants' hydrophobicity on the shape and size of lead NPs was explored.
Abstract: A versatile and facile methodology is presented for size-controlled, lead telluride nanoparticles in the presence of highly hydrophobic cationic gemini surfactants (12–2–12, 14–2–14 and 16–2–16) as capping/stabilizing agents. The optical and electrical properties were examined with attention focused on the cumulative diameter of lead telluride NPs for various stabilizing agents. To explore the influence of surfactants' hydrophobicity on the shape and size of lead telluride NPs, the microstructure of lead telluride NPs was investigated via transmission electron microscopy (TEM). Core–shell nanoparticles were characterized by using XRD, near-IR, PL and Raman techniques.
8 citations
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TL;DR: The results showed that among workers who are constantly exposed to pesticides, acetylcholinesterase is within the reference value, and using each pesticide should only deal with people who are well versed in the way of its use, as well as theWay of protecting them from poisoning.
Abstract: AIM: The paper presents research on the most common causes of exposure that leads to disorders of cholinesterase activity, as well as an overview of the results of cholinesterase activity with the poisoned people.MATERIAL AND METHODS: In a group of 35 acute poisoned patients by organophosphate compounds has led to inhibition of AchE. A total number of examined workers are 175 in the chemical industry and agricultural production in the area of Rasina District-Serbia.RESULTS: The results showed that among workers who are constantly exposed to pesticides, acetylcholinesterase is within the reference value. Having examined the medical records of these workers, it is noted that, at 72%, there is a slight fall of AchE activity, each year. The workers who had been exposed to pesticides at the time of testing had acetylcholinesterase regarding reference value, but 52% of them had a few years ago significantly reduced the value of the activity of acetylcholinesterase, which was treated and then transferred to other jobs. The 48% of these workers had acetylcholinesterase regarding benchmarks or were transferred to other jobs, for a variety of other health problems.CONCLUSION: Using each pesticide should only deal with people who are well versed in the way of its use, as well as the way of protecting them from poisoning.
8 citations
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TL;DR: The overall algorithm of obstacle classification presented in this paper consists of three basic phases: image segmentation in order to extract the pixels belonging to the image of a road and the objects over it, and estimation of distances between the camera, the obstacles and their rates of change (relative velocities).
Abstract: The systems based on image processing have numerous applications in the domain of motion control of robots and autonomous vehicles. The current paper is oriented to the solution of the problem that precedes the implementation of automatic avoidance of the on-road obstacles—how to detect them, to track in the sequence of images, and to recognize which of them are stationary, incoming, or outgoing from the camera. The overall algorithm of obstacle classification presented in this paper consists of three basic phases: (1) image segmentation in order to extract the pixels belonging to the image of a road and the objects over it; (2) extraction of characteristic points inside the area of the obstacle, their description and tracking in following frames; and (3) estimation of distances between the camera, the obstacles and their rates of change (relative velocities). The verifications of particular steps of the proposed algorithm are illustrated using real road-traffic images, while the overall algorithm is tested using both synthesized sequences of images and the ones acquired in real driving.
8 citations
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23 Nov 2007TL;DR: In this article, the authors characterize compact and completely continuous disjointness preserving linear operators on vector-valued continuous functions as follows: if and only if T f = Σδ xn ⊗ h n (f) for all f ∈ C 0 (X, E), n where h n : Y → B(E, F) is continuous and vanishes at infinity in the uniform (resp. strong) operator topology, and h n n (y) is uniformly completely continuous.
Abstract: We characterize compact and completely continuous disjointness preserving linear operators on vector-valued continuous functions as follows: a disjointness preserving operator T : C 0 (X, E) → C 0 (Y, F) is compact (resp. completely continuous) if and only if T f = Σδ xn ⊗ h n (f) for all f ∈ C 0 (X, E), n where h n : Y → B(E, F) is continuous and vanishes at infinity in the uniform (resp. strong) operator topology, and h n (y) is compact (resp. h n is uniformly completely continuous).
8 citations
Authors
Showing all 2478 results
Name | H-index | Papers | Citations |
---|---|---|---|
Kamil Kuca | 55 | 1029 | 16708 |
Antoni Rogalski | 47 | 286 | 11516 |
Ufuk Gündüz | 44 | 206 | 6560 |
George P. Patrinos | 43 | 353 | 8785 |
Ching-Hsue Cheng | 42 | 209 | 8222 |
Saad M. Alshehri | 42 | 280 | 6179 |
Roman Dabrowski | 38 | 469 | 6415 |
Daniel Jun | 37 | 287 | 5505 |
Susheel Kalia | 36 | 105 | 6984 |
Dragan Pamučar | 36 | 194 | 4519 |
Turgay Celik | 35 | 508 | 5417 |
Janice D. Yoder | 33 | 81 | 3486 |
Miodrag Čolić | 32 | 212 | 3894 |
T. C. T. Ting | 32 | 121 | 9662 |
Manuela Tvaronavičienė | 31 | 153 | 2832 |