92 research outputs found

    New Mediterranean Biodiversity Records (December 2011)

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    The present work reports on recent biodiversity records of Mediterranean native species such as Olindias phosphorica in the Turkish Aegean Sea and extended distribution of eleven alien species in the Mediterranean. These are: Bursatella leachi (Mollusca, Gastropoda: Algeria); Callinectes sapidus (Crustacea, Decapoda: Greek Ionian Sea); Caprella scaura (Crustacea, Amphipoda: Mar Piccolo of Taranto); Fistularia commersonii (Fish: Saronikos Gulf, Aegean Sea); Sphoeroides pachygaster (Fish: South Turkey); Musculista perfragilis (Mollusca, Bivalvia: South Turkey); Sepioteuthis lessoniana (Mollusca, Cephalopoda: central eastern coast of Tunisia); Flabellina rubrolineata (Mollusca, opisthobranchia: central Aegean, Greece); Hesionura serrata (Polychaeta: Apulian coast); Stephanolepis diaspros (Fish: Saronikos Gulf, Aegean Sea); and Parvocalanus crassirostris (Crustacea, Copepoda: Lesvos Island, Greek Aegean Sea).Scientific and Technical Research Council of Turkey (TUBITAK) [109Y284]The authors (Cem Cevik, Levent Cavas, Osman Bans Derici and Fatma Cevik) are grateful to the Scientific and Technical Research Council of Turkey (TUBITAK) for financial support of the study (Grant number 109Y284). Abdallah Hattour would like to thank the fishermen of Salakta who provided the examined specimen of Sepioteuthis. Souad Lamouti would like to thank Mr Adlane Ferchouli for his help in the field

    First record of phyllorhiza punctata von lendenfeld, 1884 (Scyphozoa: Rhizostomeae: Mastigiidae) from Turkey

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    The Australian spotted jellyfish Phyllorhiza punctata has been reported from several locations in the Mediterranean, but the present report is the first record from Turkish waters. Juveniles of the Erythrean alien shrimp scad, Alepes djedaba, were observed nestling among its tentacles. Possible vectors are mentioned. © 2011 The Author(s)

    New formulae for Zagreb indices

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    International Conference on Numerical Analysis and Applied Mathematics (ICNAAM) -- SEP 19-25, 2016 -- Rhodes, GREECEIn this paper, we study with some graph descriptors also called topological indices. These descriptors are useful in determination of some properties of chemical structures and preferred to some earlier descriptors as they are more practical. Especially the first and second Zagreb indices together with the first and second multiplicative Zagreb indices are considered and they are calculated in terms of the smallest and largest vertex degrees and vertex number for some well-known classes of graphs.Uludag UniversityUludag University [F-2015/17, F-2015/23]; Selcuk UniversitySelcuk UniversityThe first author was supported by the Research Fund of Uludag University project no: F-2015/17, F-2015/23. The last author is supported by Selcuk University Research Fund

    Retrospective Analysis of Patients admitted to Emergency Dental Clinic of a Secondary Care Public Hospital in Turkey

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    ABSTRACT Background This study aims to evaluate dental emergency visits in a public hospital as the number of dental emergency visits has recently increased. Materials and methods This was a retrospective observational study. This study was approved by the local ethical committee and data were recorded from the dental emergency service record book between January 1, 2012, and December 31, 2013. Results In total, 1,477 (4.01%) patients were admitted to emergency dentist services. Mean age was 24.59 ± 11.07 (min–max: 2–76) and 978 (66.2%) patients were between 19 and 35 years old. The most common diagnosis was pulpitis or periapical abscess (n = 1033, 69.9%) and the most common practice was the prescription of antibiotics and/or analgesics (n = 885, 59.9%). Conclusion The latest increase in the number of dental emergency visits is a burden, and emergency physicians must be capable of differentiating the real emergencies from common uncomplicated complaints. How to cite this article Agmaz O, Acar YA, Cevik E, Uyguner C, Oral BE, Bal C. Retrospective Analysis of Patients admitted to Emergency Dental Clinic of a Secondary Care Public Hospital in Turkey. Int J Experiment Dent Sci 2017;6(1):14-16. </jats:sec

    Mediterranean dirty edge: High level of meso and macroplastics pollution on the Turkish coast

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    It has become apparent that the coastal zones of aquatic environments are significantly affected by plastics pollution. The accumulation of marine plastic litter on beaches is an important problem due to their significant environmental impacts. In this study, 13 coastal areas in Iskenderun Bay (NE Levantine coast of Turkey) were sampled in May 2018 to investigate meso and macroplastic (0.5-123.4 cm) pollution. A total of 1424 meso and macroplastic items in five categories (filament, film, foam, fragments, and pellets) were collected. The average meso and macroplastic concentration was 12.2 +/- 3.5 pcs m(-2) (12.3 +/- 3.5 g m(-2)) and the mean size for all stations was 3.7 +/- 0.16 cm. The highest meso and macroplastic concentration was found in the Dortyol location (46.2 +/- 7.6 pcs m(-2)) and the lowest concentration was found in the Y. Lagun location (2.3 +/- 0.2 pcs m(-2)). Plastics were separated into 14 different groups based on their origins. The most dominant type was hard plastics (broken, fragmented, and deformed) with 59.8% and greenhouse coverage films with 11%. Our results shows that regardless their source plastics fluxes at beaches from various pathways. Results of this study provide useful information for designing monitoring strategies and setting management goals. (C) 2019 Elsevier Ltd. All rights reserved

    Tangle-bearing neurons survive despite disruption of membrane integrity in a mouse model of tauopathy

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    Neurofibrillary tangles (NFTs) are associated with neuronal loss and correlate with cognitive impairment in Alzheimer disease, but how NFTs relate to neuronal death is not clear. We studied cell death in Tg4510 mice that reversibly express P301L mutant human tau and accumulate NFTs using in vivo multiphoton imaging of neurofibrillary pathology, propidium iodide (PI) incorporation into cells, caspase activation, and DNA labeling. We first observed that in live mice, a minority of neurons were labeled with the caspase probe or with PI fluorescence. These markers of cell stress were localized in the same cells and appeared specifically within NFT-bearing neurons. Contrary to expectations, the PI-stained neurons did not die during a day of observation; the presence of Hoechst-positive nuclei in them on the subsequent day indicated that the NFT-associated membrane disruption, as suggested by PI staining, and caspase activation do not lead to immediate death of neurons in this tauopathy model. This unique combination of in vivo multiphoton imaging with markers of cell death and pathological alteration is a powerful tool for investigating neuronal damage associated with neurofibrillary pathology

    Replication data for: Source apportionment of fine particulate matter in Houston, Texas: Insights to secondary organic aerosols

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    This dataset contains the data published in figures and tables of the journal article entitled: "Source apportionment of fine particulate matter in Houston, Texas: Insights to secondary organic aerosols". Published in the Journal of Atmospheric Chemistry and Physics, 2018. Author list: Ibrahim M. Al-Naiema, Anusha P. S. Hettiyadura, Henry W. Wallace, Nancy P. Sanchez, Carter J. Madler, Basak Karacurt Cevik, Alexander A. T. Bui, Josh Kettler, Robert J. Griffin, and Elizabeth A. Stone

    Replication data for: Source apportionment of fine particulate matter in Houston, Texas: Insights to secondary organic aerosols

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    This dataset contains the data published in figures and tables of the journal article entitled: "Source apportionment of fine particulate matter in Houston, Texas: Insights to secondary organic aerosols". Published in the Journal of Atmospheric Chemistry and Physics, 2018. Author list: Ibrahim M. Al-Naiema, Anusha P. S. Hettiyadura, Henry W. Wallace, Nancy P. Sanchez, Carter J. Madler, Basak Karacurt Cevik, Alexander A. T. Bui, Josh Kettler, Robert J. Griffin, and Elizabeth A. Stone

    Effect of Thixotropic Agent on the Color Stability of Platinum-Based Silicone Maxillofacial Elastomers after Artificial Aging

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    Maxillofacial prostheses are essential for restoring natural appearance and function in individuals with defects in the head and neck regions. Thixotropic agents, as liquid additives, are known to increase the viscosity of silicone elastomers. However, color deterioration remains a challenge in facial prostheses, leading to the need for refabrication. Despite this, there is limited research on the effect of thixotropic agents on the color stability of silicone maxillofacial elastomers. This study aims to investigate the impact of different thixotropic agent amounts on the color degradation of various maxillofacial silicone elastomers. Three elastomers (A-2000, A-2006, and A-2186) were combined with five pigments (no pigment as control, red, yellow, blue, and a mixture of red, yellow, and blue), and mixed with six thixotropic agent quantities (0, 1, 2, 3, 4, and 5 drops). A total of 450 specimens were fabricated (n = 5) and aged in an artificial aging chamber. L*, a*, b* readings were obtained before and after aging using a digital spectrophotometer. Color difference (&Delta;E*) means and standard deviations for 150 kj/m2, 300 kj/m2, and 450 kj/m2 were calculated. Statistical analyses, including four-way ANOVA and Fisher&rsquo;s PLSD test, were conducted to determine any significant differences (p &lt; 0.05) among the groups. A comprehensive analysis revealed significant four-way interactions among the groups. In the mixed-pigmentation group, adding 4 drops of thixotropic agent resulted in &Delta;E* above 3 only in A-2186 silicone at 300 and 450 kj/m2 energy levels. However, the color stability of mixed-pigmented A-2000 and A-2006 remained within the acceptable thresholds of 3 &Delta;E* at all irradiance levels in this study. At each energy level, A-2006 exhibited the highest color stability with an increasing thixotropic agent quantity among all the silicones. Conversely, A-2186 was more affected by the increased number of thixotropic agent drops in each pigmentation group, including the control group at 450 kj/m2. The quantity of thixotropic agent plays a crucial role in determining the color stability of different silicone elastomers pigmented with various intrinsic pigments. The thixotropic agent amount has a more significant impact on color stability than the type of pigment used in the silicone elastomers. A key overarching insight from this investigation is the identification of a safety threshold for the thixotropic agent quantity of 3 drops for each silicone type, pigmentation, and energy level. These findings highlight the importance of considering the proper combination of thixotropic agents, pigments, and silicone materials to achieve optimal color stability in maxillofacial prosthetic applications

    Explanation of machine learning classification models with fuzzy measures: an approach to individual classification

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    Lecture Notes in Networks and Systems. Volume 505 LNNSAbstract: In the field of Machine Learning, there is a common point in almost all methodologies about measuring the importance of features in a model: estimating the value of a collection of them in several situations where different information sources (features) are available. To establish the value of the response feature, these techniques need to know the predictive ability of some features over others. We can distinguish two ways of performing this allocation. The first does not pay attention to the available information of known characteristics, assigning a random allocation value. The other option is to assume that the feasible values for the unknown features have to be any of the values observed in the sample (in the known part of the database), assuming that the values of the known features are correct. Despite its interest, there is a serious problem of overfitting in this approach, in situations in which there is a continuous feature: the values of a continuous feature are not likely to occur in any other, so there is a large loss of randomization (there will surely be an insignificant number of records for each possible value). In this scenario, it is probably unrealistic to assume a perfect estimation. Then, in this paper we propose a new methodology based on fuzzy measures which allows the analysis and consideration of the available information in known features, avoiding the problem of overfitting in the presence of continuous features. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AGSecretaría de Estado de Investigacion, Desarrollo e InnovacionDepto. de Estadística y Ciencia de los DatosFac. de Estudios EstadísticosTRUEpu
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