38 results on '"Donmez, E."'
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2. Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries
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Adisa, A, Bahrami-Hessari, M, Bhangu, A, George, C, Ghosh, D, Glasbey, J, Haque, P, Ingabire, J, Kamarajah, S, Kudrna, L, Ledda, V, Li, E, Lillywhite, R, Mittal, R, Nepogodiev, D, Ntirenganya, F, Picciochi, M, Simões, J, Booth, L, Elliot, R, Kennerton, A, Pettigrove, K, Pinney, L, Richard, H, Tottman, R, Wheatstone, P, Wolfenden, J, Smith, A, Sayed, A, Goswami, A, Malik, A, Mclean, A, Hassan, A, Nazimi, A, Aladna, A, Abdelgawad, A, Saed, A, Abdelmageed, A, Ghannam, A, Mahmoud, A, Alvi, A, Ismail, A, Adesunkanmi, A, Ebrahim, A, Al-Mallah, A, Alqallaf, A, Durrani, A, Gabr, A, Kirfi, A, Altaf, A, Almutairi, A, Sabbagh, A, Ajiya, A, Haddud, A, Alnsour, A, Singh, A, Mittal, A, Semple, A, Adeniran, A, Negussie, A, Oladimeji, A, Muhammad, A, Yassin, A, Gungor, A, Tarsitano, A, Soibiharry, A, Dyas, A, Frankel, A, Peckham-Cooper, A, Truss, A, Issaka, A, Ads, A, Aderogba, A, Adeyeye, A, Ademuyiwa, A, Sleem, A, Papa, A, Cordova, A, Appiah-Kubi, A, Meead, A, Nacion, A, Michael, A, Forneris, A, Duro, A, Gonzalez, A, Altouny, A, Ghazal, A, Khalifa, A, Ozair, A, Quzli, A, Haddad, A, Othman, A, Yahaya, A, Elsherbiny, A, Nazer, A, Tarek, A, Abu-Zaid, A, Al-Nusairi, A, Azab, A, Elagili, A, Elkazaz, A, Kedwany, A, Nuhu, A, Sakr, A, Shehta, A, Shirazi, A, Mohamed, A, Sherif, A, Awad, A, Abbas, A, Abdelrahman, A, Ammar, A, Azzam, A, Ciftci, A, Dural, A, Sanli, A, Rahy-Martín, A, Tantri, A, Khan, A, Al-Touny, A, Tariq, A, Gmati, A, Costas-Chavarri, A, Auerkari, A, Landaluce-Olavarria, A, Puri, A, Radhakrishnan, A, Ubom, A, Pradhan, A, Turna, A, Adepiti, A, Kuriyama, A, Kassam, A, Hassouneh, A, El-Hussuna, A, Habeebullah, A, Mousli, A, Biloslavo, A, Hoang, A, Kirk, A, Santini, A, Melero, A, Calvache, A, Baduell, A, Chan, A, Abrate, A, Balduzzi, A, Sánchez, A, Navarrete-Peón, A, Porcu, A, Brolese, A, Barranquero, A, Saibene, A, Adam, A, Vagge, A, Maquilón, A, Leon-Andrino, A, Sekulić, A, Trifunovski, A, Mako, A, Bedada, A, Broglia, A, Coppola, A, Giani, A, Grandi, A, Iacomino, A, Moro, 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Hernandez, G, Christodoulidis, G, Neal-Smith, G, Yim, G, Piozzi, G, Claret, G, Yanowsky-Reyes, G, Dhaity, G, Cakmak, G, Mohamed, G, Kucuk, G, Ancans, G, Banipal, G, De Bacco Marangon, G, Laporte, G, Martinez-Mier, G, Recinos, G, V, G, Benshetrit, G, Vijgen, G, Pickett, G, Rodriguez, H, Shiwani, H, Derilo, H, Awad, H, El Assaad, H, Raji, H, Hardgrave, H, Karakullukcu, H, Abdussalam, H, Mustafa, H, Parwaiz, H, Khan, H, Arbab, H, Naga, H, Salem, H, Ulgur, H, Perez-Chrzanowska, H, Greenlee, H, Javanmard-Emamghissi, H, Lederhuber, H, Osman, H, Adamou, H, Majid, H, Goor, H, Spiers, H, Manesh, H, Mushtaq, H, Aljaaly, H, Hasan, H, Ahmed, H, Martinez-Said, H, Aguado, H, Consani, H, Chaplin, H, Mohan, H, Van Vliet, H, Lohse, H, Shah, H, Claireaux, H, Lule, H, Juara, H, Abozied, H, Bayo, H, Alibrahim, H, Kroon, H, Ulman, H, Yonekura, H, Abou-Taleb, H, Wong, H, Carpenter, H, Majd, H, Zenha, H, Mayer, H, Elghadban, H, Abdou, H, Elfeki, H, Yusefi, H, Gomez-Fernandez, H, Horsfall, H, Meleiro, H, 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Dennis, Rory, Scaramuzzo, Rosa, Macías, Rosa Montero, Sánchez, Rosa, Ogu, Rosemary, Ramely, Rosnelifaizur, Sgarzani, Rossella, Ramli, Roszalina, Hillier, Roxane, Thumbadoo, Ruben, Ooi, Rucira, Abdus-Salam, Rukiyat, Masri, Ruqaya, Hodgson, Russell, Mathew, Ryan, Wade, Ryckie, D'archi, Sabatino, Khan, Sabina, Ngaserin, Sabrina, Kale, Sachin, Hassan, Sadiq, Merghani, Safa, Benamar, Safia, Muhammad, Sagir, Badran, Saif, Elsahli, Saifaleslam, Heta, Saimir, Hammouche, Salah, Baeesa, Saleh, Paiella, Salvatore, Eldeen, Samaher Taj Eldeen Hassan Taj, Arkani, Samara, Mittal, Samarth, Hirji, Sameer, Tebha, Sameer, Emile, Sameh, Dbouk, Samer, Bandyopadhyay, Samik Kumar, Muhammad, Saminu, Olori, Samson, Asirifi, Samuel Amoako, Hailu, Samuel, Ling, Samuel, Newman, Samuel, Ross, Samuel, Wanjara, Samuel, Kumar, Sandip, Seneviratne, Sanjeewa, Tamburello, Sara, Suarez, Sara Busto, Ingallinella, Sara, Irshaidat, Sara, Konswa, Sara, Mambrilla, Sara, Nasser, Sara, Parini, Sara, Pitoni, Sara, Ornaghi, Sara, 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Mayo-Yáñez, Miguel, Melo, Miguel Rocha, Ruiz-Marín, Miguel, Eiras, Miguel Angel Freiria, Cunha, Miguel F, Pertea, Mihaela, Slavchev, Mihail, Davidescu, Mihnea, Prieto, Mikel, Agapov, Mikhail, Gahwagi, Milad, Prats, Milagros Carrasco, Rudic, Milan, Verbic, Milena Senica, Kostusiak, Milosz, Stoleriu, Mircea Gabriel, Lucas, Miriam Abellan, Barone, Mirko, Ahmad, Misbahu, Alemu, Misganaw Alemu Adimass, Fatima, Mishal, Ida, Mitsuru, Sahu, Mo, Muhaisen, Mo'nes, Salem, Moacyr, Emara, Moataz Maher, Oludara, Mobolaji, Sotudeh, Mohadeseh, Kassab, Mohamad B, Abdelkhalek, Mohamed, Alsori, Mohamed, Anwar, Mohamed, El-Kassas, Mohamed, Elbahnasawy, Mohamed, Eldabaa, Mohamed, Rabie, Mohamed, Hassanin, Mohamed Abdelghafor, Thaha, Mohamed Adhnan, Ali, Mohamed Shafi Mahboob, Alhamid, Mohammad, Almoshantaf, Mohammad Badr, Keramati, Mohammad Reza, Bafaquh, Mohammed, Abuzaid, Mohammed, Al-Shehari, Mohammed, Alharthi, Mohammed, Alkahlan, Mohammed, Alwash, Mohammed, Alyousef, Mohammed, Amir, Mohammed, 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Pazmiño, Patricio Andrés Freile, Coughlin, Patrick, Kirchweger, Patrick, Pessaux, Patrick, Maguire, Patrick J, Petrone, Patrizio, Cullis, Paul, Köglberger, Paul, Marriott, Paul, Nankivell, Paul, Santos-Costa, Paulo, Martins, Paulo N, Panahi, Pedram, Botelho, Pedro, Teixeira, Pedro, Escobar, Pedro, Vázquez, Pedro José Gil, Gribnev, Petar, Nolte, Peter, Agbonrofo, Peter, Bobak, Peter, Choong, Peter, Elbe, Peter, Hutchinson, Peter, Labib, Peter, Paal, Peter, Pockney, Peter, Reemst, Peter, Szatmary, Peter, Vaughan-Shaw, Peter G, Alexander, Philip, Pucher, Philip, Stather, Philip, Foessleitner, Philipp, Winnand, Philipp, Zehnder, Philipp, Kruse, Philippe, Matos, Philomena Alice Wawer, Lapolla, Pierfrancesco, Cicerchia, Pierfranco Maria, Solli, Piergiorgio, Di Lascio, Pierpaolo, Zarif, Pierre, Champagne, Pierre-Olivier, Anoldo, Pietro, Bertoglio, Pietro, Fransvea, Pietro, Familiari, Pietro, Lombardi, Pietro Maria, Stogowski, Piotr Tomasz, Bruzzaniti, Placido, Tripathi, Prashant, D'sa, 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Beron, Reinaldo Isaacs, Függer, Reinhold, Othman, Rema, Saad, Rema, Amores, Remedios Revilla, Colombari, Renan Carlo, Radivojević, Renata Curic, Patrone, Renato, Novysedlák, René, Huatuco, René Manuel Palacios, Baertschiger, Reto, Liang, Rhea, Luckwell, Rhys, Escrevente, Ricardo, Rezende, Ricardo Fernandes, Cruz, Ricardo Pedrini, Lenzi, Riccardo, Rosati, Riccardo, Donovan, Richard, Egan, Richard, Morris, Richard, Page, Richard, Seglenieks, Richard, Unsworth, Richard, Wilkin, Richard, Skipworth, Richard Je, Davies, Richard Justin, Bezirci, Rifat, Talwar, Rishi, Azami, Rizwan, Bohmer, Rob, Crichton, Robert, Fruscio, Robert, Hooker, Robert, Jach, Robert, Parker, Robert, Pillerstorff, Robert, Sinnerton, Robert, Stabler, Robert, O'connell, Robert Michael, Ragozzino, Roberta, Tutino, Roberta, Angelico, Roberta, Cammarata, Roberto, Colasanti, Roberto, Macchiavello, Roberto, Peltrini, Roberto, Pirrello, Roberto, Vaschetti, Roberto, Pires, Robinson Esteves, Papalia, Rocco, Arrangoiz, Rodrigo, 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Sara, Konswa, Sara, Mambrilla, Sara, Nasser, Sara, Parini, Sara, Pitoni, Sara, Ornaghi, Sara, Rodrigues, Sara Castanheira, Abdelmohsen, Sarah, Aitken, Sarah, Tian, Sarah, Badiani, Sarit, Ahmad, Sarwat, Swed, Sarya, Muthu, Sathish, Lakpriya, Sathya, Alzahrani, Saud, Mikalauskas, Saulius, Lasrado, Savita, Satoskar, Savni, Bawa, Sayesha, Altiner, Saygin, Garcia, Sean, Stevens, Sean, Demir, Sebahattin, Ken-Amoah, Sebastian, Tranca, Sebastian, Ziemann, Sebastian, Awad, Selmy, Atici, Semra Demirli, Subramaniam, Sentilnathan, Erel, Serap, Jiang, Serena, Efetov, Sergey, Efremov, Sergey, Katorkin, Sergey, Valladares, Sergio Chávez, Contreras, Sergio Marcos, Meriç, Serhat, Zenger, Serkan, Safi, Seyer, Leventoğlu, Sezai, Elsalhawy, Shady, Shaikh, Shafaque, Sheik, Shahila, Islam, Shahnoor, Shamim, Shahzad, Waqar, Shahzad Hussain, Ahmad, Shahzaib, Farid, Shahzaib, Seraj, Shaikh Sanjid, Sundarraju, Shalini, Karandikar, Sharad, Sambhwani, Sharan, Chopra, Sharat, Chowdhury, Sharfuddin, Laura, Sharon, 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Safranovs, Toms Janis, Risteski, Toni, Pang, Tony, Akinyemi, Tosin, Yotsov, Tsanko, Laeke, Tsegazeab, Kochiyama, Tsukasa, Sholadoye, Tunde T, Alekberli, Tural, Ezomike, Uchechukwu, Giustizieri, Ugo, Grossi, Ugo, Köksoy, Ülkü Ceren, Bork, Ulrich, Kisser, Ulrich, Ronellenfitsch, Ulrich, Saeed, Umar, Bracale, Umberto, Jayarajah, Umesh, Rauf, Umme Habiba Abdul, Bumbasirevic, Uros, Ferrer, Ursula María Jariod, Ahmed, Usama, Bello, Usman Mohammed, Jogiat, Uzair, Sadia, Uzma, Galandarov, Vagif, Narayanan, Vairavan, Calu, Valentin, Bianchi, Valentina, Ciniero, Valeria, Tonini, Valeria, Silvestri, Vania, Vijay, Vardhini, Dewan, Varun, Lohsiriwat, Varut, Thuduvage, Vasanthika, Mousafeiris, Vasileios, Dragisic, Vedran, Sasireka, Veerasamy, Santric, Veljko, Kusuma, Venkata Ramana Murthy, Kolli, Venkata Satish, Alonso, Veronica, De Simone, Veronica, Picotti, Veronica, Martínez, Verónica Martín, Panduro-Correa, Vicky, Kakotkin, Victor, Angulo, Victor Pinto, Turrado-Rodriguez, Victor, Krishnamoorthy, Vijay, Ban, Vin Shen, Shah, Vinay, Maiola, Vincenza, Giordano, Vincenzo, La Vaccara, Vincenzo, Lizzi, Vincenzo, Papagni, Vincenzo, Schiavone, Vincenzo, Satchithanantham, Vinojan, Garcia-Virto, Virginia, Jimenez, Virginia, Kumar, Vishal, Shelat, Vishal, Bhat, Vivek, Sodhai, Vivek, Graziadei, Vivien, Kutuzov, Vladislav, Stoyanov, Vladislav, Oktseloglou, Vlasios, Flis, Vojko, Elhassan, Wael Atif Fadl, Yang, Wah, Soon, Wai Cheong, Tashkandi, Wail, Al-Khyatt, Waleed, Mabood, Waleed, Bijou, Walid, Wijenayake, Wasantha, D, Wasim, Krawczyk, Wiktor, Atkins, William, Bolton, William, White, William, Ceelen, Wim, Vagena, Xanthoula, Gozal, Yaacov, Baba, Yabasin Iddrisu, Subramani, Yamini, Jansen, Yanina, Mittal, Yash, Kara, Yasi̇n, Zwain, Yasir, Noureldin, Yasser, Alawneh, Yazan, Aydin, Yener, Lam, Yick Ho, Tang, Yita, Lim, Yizhe, Dean, Yomna, Tanas, Yousef, Su, Yu-Xiong, Fujimoto, Yuki, Altinel, Yuksel, Frolova, Yulia, Oshodi, Yusuf, Fadel, Zahir T, Zahid, Zahra, Elahi, Zain, Djama, Zakarya, Zaheen, Zakia, Jawad, Zaynab, Demetrashvili, Zaza, Gebremeskel, Zersenay, Gudisa, Zewdie, Alyami, Ziyad, Garoufalia, Zoe, Li, Zoe, Zimak, Zoran, Radin, Zorana, and Balogh, Zsolt J
- Abstract
Background: Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods: This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was coprioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low-middle-income countries. Results: In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of 'single-use' consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low-middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion: This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high- and low-middle-income countries.
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- 2023
3. Correlation between the serum lumican level and the severity of coronary artery disease.
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KIRANKAYA, A., TUGRUL, S., OZCAN, S., INCE, O., DONMEZ, E., ATICI, A., HANCIOGLU, E., OKUYAN, E., and SAHIN, I.
- Abstract
OBJECTIVE: Several studies have previously shown that some small leucine-rich proteoglycans (SLRPs) are associated with atherosclerotic plaque. We aim to investigate the relationship between circulating lumican levels and the severity of coronary artery disease (CAD). PATIENTS AND METHODS: This study included 255 consecutive patients who underwent coronary angiography for stable angina pectoris. All demographic and clinical data were collected prospectively. The severity of CAD was assessed based on the Gensini score and a value >40 was defined as advanced CAD. RESULTS: Eighty-eight patients were in the advanced CAD group; these are older and the frequency of diabetes mellitus, cerebrovascular accidents, reduced ejection fraction (EF), left atrium diameter was higher. Serum lumican levels were found as higher in advanced CAD group (0.4 ng/ml vs. 0.6 ng/ml, respectively, p<0.001). When the Gensini score increased, a statistically significant increase was observed in lumican levels with a good correlation (r=0.556 and p<0.001). In multivariate analysis, diabetes mellitus, EF and lumican were predictive for advanced CAD. Lumican level predicts CAD seriousness with a sensitivity rate of 64%, specificity rate of 65%. CONCLUSIONS: In this study, we reveal a relationship between serum lumican levels and CAD severity. More research is warranted to determine the mechanism and prognostic values of lumican in the atherosclerosis. [ABSTRACT FROM AUTHOR]
- Published
- 2023
4. Investigation of Virulence Properties of Staphylococcus Species Isolated from Goats with Subclinical Mastitis.
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Donmez, E. and Kirkan, S.
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GOATS , *MASTITIS , *STAPHYLOCOCCUS , *SPECIES , *GOAT milk , *MUCOUS membranes , *LEVOTHYROXINE , *PEPTIDE antibiotics - Abstract
Identification of coagulase-negative staphylococci (CNS) is tedious and sometimes cannot be done satisfactorily since many biochemical tests are required in routine diagnostic laboratories. CNS, which play an important role in the aetiology of mastitis, are important members of the skin and mucous membranes and cause infections especially in immunocompromised individuals. The increasing incidence of CNS, especially in the aetiology of mastitis, requires the correct identification of Staphylococci isolates at the species level. In recent years, tuf gene analysis has been frequently preferred for species identification of CNS due to its practicality and reliable results. The aim of this study was to identify Staphylococcus species by conventional and molecular methods from Saanen goat milk with mastitis and to determine the virulence genes and the antibiotic susceptibility of the isolates. In this study, 41 (37.2%) Gram-positive cocci were isolated from the 110 goat milk samples with subclinical mastitis. Bacterial identification was carried out using conventional methods. All Gram-positive cocci were examined with the BD Phoenix™ 50 device for identification and antibiogram susceptibility analyses. Polymerase chain reaction (PCR) was used to confirm the species level identification of the isolates, and to identify virulence genes. After the identification of the Staphylococcus isolates, analysis for the presence of 16S rRNA, nuc, tuf, coa genes, virulence genes, enterotoxin genes were performed for genotypic verification by PCR. The results were as follows: 5 (12.2%) S. pettenkoferi; 5 (12.2%) S. aureus; 4 (9.7%) S. epidermidis; 3 (7.3%) S. equorum; 3 (7.3%) S. warneri; 3 (7.3%) S. caprae; 2 (4.9%) S. capitis; 1 (2.4%) S. simulans and 15 (36.6%) Streptococcus spp. were identified using BD Phoenix™. tuf gene sequencing results of Staphylococcus isolates (n=26) showed that; 5 (19.2%) S. aureus, 4 (15.4%) S. caprae, 4 (15.4%) S. succinus, 4 (15.4%) S. devriesei, 3 (11.5%) S. chromogenes, 1 (3.8%) S. heamolyticus, 1 (3.8%) S. petracii sp. jettensis. The resistance to antimicrobial drugs ampicillin, penicillin and amoxicillin-clavulanic acid was 88.4%, 88.4%, 84.4%, respectively. The prevalence of the studied virulence genes was sea 3.8%, seb 30.7%, sec 11.5%, PVL 3.84%, Hla 53.8%, Hlb 34.6%, and BAP 7.7%. Our results confirmed the predominance of S. caprae and S. succinus among CNS isolates. Tuf genes are considered as an accurate tool for the identification of CNS strains. Finally, the use of advanced diagnostic methods in goat mastitis cases and the determination of antibiotic susceptibility of Staphylococcus isolates will preclude the occurrence of disease that may harm public health. [ABSTRACT FROM AUTHOR]
- Published
- 2022
5. Composition and antimicrobial activity of Juniperus excelsa essential oil
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Unlu, M., Vardar-Unlu, G., Vural, N., Donmez, E., and Cakmak, O.
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- 2008
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6. Assessment of DNA fragmentation and aneuploidy on poor quality human embryos
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Findikli, N, Kahraman, S, Kumtepe, Y, Donmez, E, Benkhalifa, M, Biricik, A, Sertyel, S, Berkil, H, and Oncu, N
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- 2004
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7. Embryo development characteristics in Robertsonian and reciprocal translocations: a comparison of results with non-translocation cases
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Findikli, N, Kahraman, S, Kumtepe, Y, Donmez, E, Biricik, A, Sertyel, S, Berkil, H, and Melil, S
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- 2003
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8. Results of preimplantation genetic diagnosis in patients with Klinefelter's syndrome
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Kahraman, S, Findikli, N, Berkil, H, Bakircioglu, E, Donmez, E, Sertyel, S, and Biricik, A
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- 2003
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9. Genetic Gain in Yield Attributes of Winter Wheat in the Great Plains
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Donmez, E., Sears, R. G., Shroyer, J. P., and Paulsen, G. M.
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Plant genetics -- Statistics -- Measurement ,Biotechnology industry -- Statistics ,Winter wheat -- Statistics ,Crop yields -- Measurement -- Statistics ,Grain industry -- Statistics ,Genetically modified plants -- Statistics -- Measurement ,Agricultural industry ,Business - Abstract
Knowledge of changes associated with advances in crop productivity is essential for understanding yield-limiting factors and developing strategies for future improvement. Our objective was to identify plant traits associated with gains in grain yield of winter wheat (Triticum aestivum L.) in the Great Plains. Twelve landmark cultivars and one experimental line were compared with `Turkey' (introduced 1873) at Hutchinson (Clark-Ost complex soil) and Manhattan (Reading silt loam soil), KS, during 1996-1997 and 1998-1999. Agronomic traits, leaf rust infection (caused by Puccinia recondita Rob. ex Desm. f. sp. tritici), and grain yield and its components were measured. Grain yields ranged from 2718 kg [ha.sup.-1] for Turkey to 4987 kg [ha.sup.-1] for the experimental line, with mean genetic gains of 0.16% per year for early genotypes and 0.63% per year for recent genotypes. Kernel number per unit of soil area had the highest phenotypic correlation with grain yield and contributed most to its genetic gain. Gains in spike numbers per unit of soil area and above-ground biomass also contributed significantly to higher yields of some genotypes. Significant genetic changes over time and correlations with grain yield were observed for early heading, decreased height, and reduced lodging and leaf rust but not for kernel weight. Our results suggested that yield components that form during vegetative phases (spike numbers per unit of soil area and kernels per spike) when conditions for growth are generally favorable are more amenable to genetic improvement than kernel weight, which forms during maturation when moisture and temperature are often unfavorable., WHEAT YIELD GAINS in the U.S. during recent decades were apportioned nearly equally between genetic improvement of cultivars and new production technology (Feyerherm et al., 1984). Greater productivity of improved [...]
- Published
- 2001
10. Plants and Culture in Euromediterranean Area: archeobotany and the PaCEM Network
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Mercuri, Anna Maria, Sadori, Laura, Mazzanti, Marta, Benes, J., Bosi, Giovanna, Ciarallo, A. M., Donmez, E. O., Fahmy, A. G., Giardini, M., Lopez Saez, J. A., Marinval, P., Masi, A., Pena Chocarro, L., Sarpaky, A., and Valamoti, S. M.
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Europe ,Plants ,Culture ,Mediterranean Basin - Published
- 2010
11. Antimicrobial activity of essential oil and methanol extracts of Achillea sintenisii Hub. Mor. (Asteraceae)
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Sokmen, A, Vardar-Unlu, G, Polissiou, M, Daferera, D, Sokmen, M, Donmez, E, and Cumhuriyet Univ, Fac Sci & Literature, Dept Biol, TR-58140 Sivas, Turkey -- Cumhuriyet Univ, Fac Med, Dept Microbiol, TR-58140 Sivas, Turkey -- Agr Univ Athens, Lab Gen Chem, Athens 11855, Greece -- Cumhuriyet Univ, Fac Sci & Literature, Dept Chem, TR-58140 Sivas, Turkey
- Subjects
eucalyptol ,antimicrobial activity ,camphor ,Achillea sintenisii ,essential oil - Abstract
WOS: 000186378400003, PubMed ID: 14595577, The essential oil, obtained by Clevenger distillation, and water-soluble and water-insoluble parts of the methanol extracts of Achillea sintenisii Hub. Mor. were individually assayed for their antimicrobial activities against 12 bacteria and two yeasts, Candida albicans and C. krusei. No activity was exhibited by the water-soluble subtraction, whereas both the water-insoluble subfraction of the methanol extracts and the essential oil were found to be active against some test microorganisms studied. Since the essential oil possessed stronger activity than the other extracts tested, it was further fractionated and the fractions were evaluated for their antimicrobial activity, followed by GC-MS analysis, resulting in the identification of 32 compounds which constituted 90.2% of the total oil. The GC-MS analysis of the oil and its fractions revealed that the main components of the oil, e.g. camphor and eucalyptol, possessed appreciable activity against C. albicans and Clostridium Perfringens. The findings presented here also suggest that the other constituents of the oil, e.g. borneol and piperitone can also be taken into account for the activity observed. Copyright (C) 2003 John Wiley Sons, Ltd.
- Published
- 2003
12. SESSION 71: OVARIAN STIMULATION
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Demirel, L. C., primary, Aydogdu, S., additional, Ozdemir, A. I., additional, Donmez, E., additional, Benli, H., additional, Ferraretti, A. P., additional, Feliciani, E., additional, Tabanelli, C., additional, Tartaglia, M. L., additional, Mascaretti, G., additional, Magli, M. C., additional, Gianaroli, L., additional, Barkalina, N., additional, Mishieva, N., additional, Korneeva, I., additional, Abubakirov, A., additional, Celik, E., additional, Celik, O., additional, Kumbak, B., additional, Yilmaz, E., additional, Turkcuoglu, I., additional, Simsek, Y., additional, Karaer, A., additional, Minareci, Y., additional, Ozerol, E., additional, Tanbek, K., additional, Crespi, S., additional, Angeletti, F., additional, Malangone, E., additional, Gorritz-Kindu, M., additional, Linder, R., additional, Csemiczky, G., additional, Lood, M., additional, Jablonowska, B., additional, Hu, H., additional, Somigliana, E., additional, Levi-Setti, P. E., additional, Fadini, R., additional, Brigante, C., additional, Scarduelli, C., additional, Ragni, G., additional, Kyrou, D., additional, Kolibianakis, E. M., additional, Masouridou, S., additional, Chatzimeletiou, K., additional, Mitsoli, A., additional, and Tarlatzis, B. C., additional
- Published
- 2012
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13. A randomized comparison of sequential and single step culture media systems on sibling oocytes: complete P-1 versus single step medium
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Donmez, E., primary, Sati, L., additional, Tuysuz, G., additional, Gokalp Kaya, D., additional, Celik, S., additional, and Demirel, L.C., additional
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- 2008
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14. Structure and magnetic properties of a manganese(III) Schiff-base complex
- Author
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Donmez, E., primary, Kara, H., additional, and Yahsi, Y., additional
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- 2006
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15. The results of aneuploidy screening in 276 couples undergoing assisted reproductive techniques
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Kahraman, S., primary, Benkhalifa, M., additional, Donmez, E., additional, Biricik, A., additional, Sertyel, S., additional, Findikli, N., additional, and Berkil, H., additional
- Published
- 2004
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16. Outcome of ICSI Cases with Centrally Located Cytoplasmic Granular Oocytes
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Kahraman, S., Yakn, K., Donmez, E., Sertyel, S., and Saml, H.
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- 2000
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17. Analysis of Simultaneous Testicular Histopathology, Wet Preparation, Touch Print Cytology and Sperm Recovery in Nonobstructive Azoospermic Males
- Author
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Kahram, S., Saml, M., Evrenkaya, T., Yakn, K., Donmez, E., and Sertyel, S.
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- 2000
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18. Assisted Hatching with Acidic Tyrode`s Solution, Three-Dimensional Partial Zona Dissection and Non-Contact 1.48 mm Diode Laser; Comparison of Clinical Results
- Author
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Kahraman, S., Yakn, K., Donmez, E., and Cengiz, S.
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- 2000
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19. Healthy Births and Ongoing Pregnancies Obtained by Preimplantation Genetic Diagnosis with Ca2+/Mg2+ Free Medium in Patients with Advanced Maternal Age and Recurrent Implantation Failure
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Kahraman, S., Bahce, M., Sam, H., Imirzaoglu, N., Yakn, K., and Donmez, E.
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- 2000
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20. Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries
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Global Health Research Unit on Global Surgery, National Institute for Health and Care Research, Adisa, Adewale, Bahrami-Hessari, Michael, Bhangu, Aneel, George, Christina, Ghosh, Dhruv, Glasbey, James, Haque, Parvez, Ingabire, J C Allen, Kamarajah, Sivesh Kathir, Kudrna, Laura, Ledda, Virginia, Li, Elizabeth, Lillywhite, Robert, Mittal, Rohin, Nepogodiev, Dmitri, Ntirenganya, Faustin, Picciochi, Maria, Simões, Joana Filipa Ferreira, Booth, L, Elliot, R, Kennerton, A S, Pettigrove, K L, Pinney, L, Richard, H, Tottman, R, Wheatstone, P, Wolfenden, John W D, Smith, A, Sayed, A Emad, Goswami, Aakansha Giri, Malik, Aamer, Mclean, Aaron Lawson, Hassan, Abbas, Nazimi, Abd Jabar, Aladna, Abdallah, Abdelgawad, Abdalrahman, Saed, Abdel, Abdelmageed, Abdelfatah, Ghannam, Abdelilah, Mahmoud, Abdelrahman, Alvi, Abdul, Ismail, Abdulaziz, Adesunkanmi, Abdulhafiz, Ebrahim, Abdulla, Al-Mallah, Abdullah, Alqallaf, Abdullah, Durrani, Abdullah, Gabr, Abdullah, Kirfi, Abdullahi Musa, Altaf, Abdulmalik, Almutairi, Abdulmjeed, Sabbagh, Abdulrahman J, Ajiya, Abdulrazak, Haddud, Abdurrahman, Alnsour, Abed Alfattah Mahmoud, Singh, Abhinav, Mittal, Abhishek, Semple, Abigail, Adeniran, Abiodun, Negussie, Abraham, Oladimeji, Abraham, Muhammad, Abubakar Bala, Yassin, Abubaker, Gungor, Abuzer, Tarsitano, Achille, Soibiharry, Adaiah, Dyas, Adam, Frankel, Adam, Peckham-Cooper, Adam, Truss, Adam, Issaka, Adamu, Ads, Adel Mohamed, Aderogba, Adeleke Akeem, Adeyeye, Ademola, Ademuyiwa, Adesoji, Sleem, Adham, Papa, Adrian, Cordova, Adriana, Appiah-Kubi, Adu, Meead, Adullah, Nacion, Aeris Jane D, Michael, Afieharo, Forneris, Agustin Albani, Duro, Agustin, Gonzalez, Agustin Rodriguez, Altouny, Ahmad, Ghazal, Ahmad, Khalifa, Ahmad, Ozair, Ahmad, Quzli, Ahmad, Haddad, Ahmad, Othman, Ahmad Faidzal, Yahaya, Ahmad Shuib, Elsherbiny, Ahmed, Nazer, Ahmed, Tarek, Ahmed, Abu-Zaid, Ahmed, Al-Nusairi, Ahmed, Azab, Ahmed, Elagili, Ahmed, Elkazaz, Ahmed, Kedwany, Ahmed, Nuhu, Ahmed Mohammed, Sakr, Ahmed, Shehta, Ahmed, Shirazi, Ahmed, Mohamed, Ahmed Mohamed Ibrahim, Sherif, Ahmed Elshawadfy, Awad, Ahmed K, Abbas, Ahmed M, Abdelrahman, Ahmed Saber, Ammar, Ahmed Siddique, Azzam, Ahmed Y, Ciftci, Ahmet Burak, Dural, Ahmet Cem, Sanli, Ahmet Necati, Rahy-Martín, Aida Cristina, Tantri, Aida Rosita, Khan, Aimal, Al-Touny, Aiman, Tariq, Aiman, Gmati, Aimen, Costas-Chavarri, Ainhoa, Auerkari, Aino, Landaluce-Olavarria, Aitor, Puri, Ajay, Radhakrishnan, Ajay, Ubom, Akaninyene Eseme, Pradhan, Akhilesh, Turna, Akif, Adepiti, Akinfolarin, Kuriyama, Akira, Kassam, Al-Faraaz, Hassouneh, Ala, El-Hussuna, Alaa, Habeebullah, Alaa, Ads, Alaa Mohamed, Mousli, Alaa, Biloslavo, Alan, Hoang, Alan, Kirk, Alan, Santini, Alasdair, Melero, Alba Vazquez, Calvache, Albaro José Nieto, Baduell, Albert, Chan, Albert, Abrate, Alberto, Balduzzi, Alberto, Sánchez, Alberto Cabañero, Navarrete-Peón, Alberto, Porcu, Alberto, Brolese, Alberto, Barranquero, Alberto G, Saibene, Alberto Maria, Adam, Albushra Altayeb, Vagge, Aldo, Maquilón, Alejandra Jara, Leon-Andrino, Alejandro, Sekulić, Aleksandar, Trifunovski, Aleksandar, Mako, Aleksandro, Bedada, Alemayehu Ginbo, Broglia, Alessandro, Coppola, Alessandro, Giani, Alessandro, Grandi, Alessandro, Iacomino, Alessandro, Moro, Alessandro, D’amico, Alessia, Malagnino, Alessia, Tang, Alethea, Doyle, Alex, Alfieri, Alex, Haynes, Alex, Wilkins, Alex, Baldwin, Alexander, Heriot, Alexander, Laird, Alexander, Lazarides, Alexander, O'connor, Alexander, Trulson, Alexander, Rokohl, Alexander Christopher, Caziuc, Alexandra, Triantafyllou, Alexandra, Anesi, Alexandre, Nikova, Alexandrina, Andrianakis, Alexandros, Charalabopoulos, Alexandros, Tsolakidis, Alexandros, Chirca, Alexandru, Arnaud, Alexis P, Narvaez-Rojas, Alexis Rafael, Kavalakat, Alfie, Spina, Alfio, Recordare, Alfonso, Annicchiarico, Alfredo, Conti, Alfredo, Mohammed, Alhassan Datti, Kocataş, Ali, Almhimid, Ali, Arnaout, Ali, Fahmy, Ali, Mangi, Ali, Modabber, Ali, Ulas, Ali Bilal, Mohamedahmed, Ali Yasen Y, Frontali, Alice, Moynihan, Alice, Yunus, Alif, Ahmad, Aline, Kent, Alistair J, Khamees, Almu'atasim, Ugwu, Aloy Okechukwu, Turan, Alparslan, Mohammed, Alsnosy Abdullah Khalefa, Navarro-Barrios, Alvaro, Yebes, Alvaro, De Sousa, Álvaro Francisco Lopes, Moreno, Amabelle, Sethi, Aman, Dawson, Amanda Caroline, Othman, Amani Alsayd Abdulsalam, Kaur, Amanjot, Wolde, Amanuel, Antonelli, Amedeo, Scifo, Amedeo, Alhamad, Ameen, Davis, Amelia, Alderazi, Amer, Harky, Amer, Mohammed-Durosinlorun, Amina, Seguya, Amina, Okhakhu, Amina, Chamakhi, Amine, Sebai, Amine, Souadka, Amine, Asla, Amir, Agrawal, Amit, Persad, Amit, Gupta, Amit, Elgazar, Amr, Kulkarni, Amruta, Coates, Amy, Bellés, Ana Ciscar, Hadzibegovic, Ana Danic, Jotic, Ana, Kowark, Ana, Martins, Ana, Pineda, Ana Mejía, Peral, Ana, Gollarte, Ana Sánchez, Senent-Boza, Ana, Camarena, Ana Isabel Avellaneda, Castaño-Leon, Ana M, Bravo, Ana Maria Minaya, Moro, Ana María Gimeno, Musina, Ana-Maria, Tapia-Herrero, Ana-María, Kothari, Anai, Gupta, Anand, Raja, Anand, Aljaiuossi, Anas, Taha, Anas, Majbar, Anass Mohammed, Prodromidou, Anastasia, Kanatas, Anastasios, Gupte, Anaya, Zakaria, Andee Dzulkarnaen, Balla, Andrea, Barberis, Andrea, Bondurri, Andrea, Bottari, Andrea, Costantino, Andrea, Figus, Andrea, Lauretta, Andrea, Mingoli, Andrea, Romanzi, Andrea, Sagnotta, Andrea, Scacchi, Andrea, Picchetto, Andrea, Valadez, Andrea Estefania Cueto, Luzzi, Andrea-Pierre, Älgå, Andreas, Fontalis, Andreas, Hecker, Andreas, Demetriades, Andreas K, Serban, Andreea-Madalina, Văcărașu, Andrei Bogdan, Cokan, Andrej, Isaza-Restrepo, Andres, Beamish, Andrew, Schache, Andrew, Stevenson, Andrew, Yiu, Andrew, Cockbain, Andrew J, Litvin, Andrey, Abad-Motos, Ane, Becerra, Angel, Ramos, Ángel Cilleruelo, Chiaradia, Angela, Dell, Angela, Romano, Angela, Pascale, Angelo, Marra, Angelo Alessandro, Dimas, Angelos, Kolias, Angelos, Cerovac, Anis, Koneru, Anish, Tidjane, Anisse, Agbeko, Anita Eseenam, Bajaj, Ankur, Gosain, Ankush, Allan, Anna, Carreras-Castañer, Anna, D'amore, Anna, Dare, Anna, Maffioli, Anna, Palepa, Anna, Paspala, Anna, Konney, Anna, Gatta, Anna Nunzia Della, Ezanno, Anne-Cecile, Yiallourou, Anneza, Kinnair, Anthony, Rayner, Anthony, Scafa, Anthony Kevin, Bowan, Antoinette Bediako, Veglia, Antonella, Russo, Antonino, Maniaci, Antonino, Castaldi, Antonio, Gil-Moreno, Antonio, Maffuz-Aziz, Antonio, Meola, Antonio, Nenna, Antonio, Ferrer, Antonio Perez, Bonilla, Antonio Ramos, Ramos-De La Medina, Antonio, Infante, Antonio Rodriguez, Santoro, Antonio, Laganà, Antonio Simone, Bateman, Antony, Michael, Antony Louis Rex, Abozid, Anwaar, Seidu, Anwar Sadat, Lowery, Aoife, Tantraworasin, Apichat, Rasheed, Aqsa, Picciariello, Arcangelo, Isik, Arda, Saif, Areeba, Anjum, Arfa, Ioannidis, Argyrios, Abeldaño, Ariel, Hussain, Arif, Nathan, Arjun, Bedzhanyan, Arkady, Perfecto, Arkaitz, De Virgilio, Armando, Galvan, Armando, Sablotzki, Armin, Böttcher, Arne, Pellacani, Arrigo, Gatti, Arthur, Ibrahimli, Arturan, Menon, Arun, Sahni, Arun, Mwenda, Aruyaru Stanley, Choudhry, Asad, Jayawardane, Asanka, Gupta, Ashish, Ramasamy, Ashok, Mitul, Ashrarur Rahman, Bawa, Ashvind, Nugur, Ashwani, Rammohan, Ashwin, Sachdeva, Ashwin, Mehraj, Asif, Yildirim, Asif, Alqaseer, Asma, Radwan, Asmaa, Sallam, Asser, Syllaios, Athanasios, Tampakis, Athanasios, Alwael, Athari, Samara, Athina, Eroglu, Atilla, Rahman, Atiqur, Ulkucu, Attila, Zaránd, Attila, Dulskas, Audrius, Tawiah, Augustine, Zani, Augusto, Vas, Aurelia, Lukosiute-Urboniene, Ausra, Adamu, Auwal, Aujayeb, Avinash, Malik, Awais Amjad, İplikçi, Ayberk, Mahmud, Ayesha, Cil, Aylin Pelin, Makanjuola, Ayomide, Akwaisah, Ayoub, Galandarova, Aysuna, Saracoglu, Ayten, Regan, Azel, Barlas, Aziz Mutlu, Alhassan, Baba Alhaji Bin, Mostafa, Badr, Hamida, Baha Ben, Torun, Bahar Canbay, Abdullah, Bahiyah, Balagobi, Balasingam, Banky, Balazs, Singh, Baljit, Alegbeleye, Bamidele, Yigit, Banu, Hajjaj, Baraa Nabil, Burgos-Blasco, Barbara, Seeliger, Barbara, Alayande, Barnabas, Alhazmi, Barrag, Enodien, Bassey, Torre, Beatrice, Pérez, Beatriz Gómez, Tamayo, Beatriz Villota, De Andrés-Asenjo, Beatriz, Quintana-Villamandos, Begoña, Girgin, Behiç, Barmayehvar, Behrad, Beisenov, Bekzat, Creavin, Ben, Dunne, Ben, Marson, Ben, Waterson, Ben, Martin, Benjamin, Zucker, Benjamin, Wong, Benjamin Ngie Xiong, Ozmen, Berk Baris, Hammond, Bernard, Mbwele, Bernard, Núñez, Bernardo, Dhondt, Bert, Gafsi, Besma, Mcleish, Bethan, Lieske, Bettina, Tailor, Bhavesh, La Pira, Biagia, Picardi, Biagio, Zampogna, Biagio, Casagranda, Biagio, Festa, Bianca Maria, Panda, Bijnya, Kirmani, Bilal, Sulaiman, Bilal, Gurung, Binay, Zacharia, Bincy, Bette, Birgit, Ayana, Birhanu, Nikolovska, Bisera, Vilaró, Blanca Capdevila, De Vega Sánchez, Blanca, Hameed, Bm Zeeshan, Diaconescu, Bogdan, Kovacevic, Bojan, Bumber, Boris, Sakakushev, Boris, Tadic, Boris, Malek, Bouhani, Alrayes, Bourhan, Thomas, Bradley, Gális, Branislav, Gallagher, Brendan, Knowles, Brett, Cunningham, Brian, Daley, Brian, 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Ntirenganya, Faustin, Picciochi, Maria, Simões, Joana Filipa Ferreira, Booth, L, Elliot, R, Kennerton, A S, Pettigrove, K L, Pinney, L, Richard, H, Tottman, R, Wheatstone, P, Wolfenden, John W D, Smith, A, Sayed, A Emad, Goswami, Aakansha Giri, Malik, Aamer, Mclean, Aaron Lawson, Hassan, Abba, Nazimi, Abd Jabar, Aladna, Abdallah, Abdelgawad, Abdalrahman, Saed, Abdel, Abdelmageed, Abdelfatah, Ghannam, Abdelilah, Mahmoud, Abdelrahman, Alvi, Abdul, Ismail, Abdulaziz, Adesunkanmi, Abdulhafiz, Ebrahim, Abdulla, Al-Mallah, Abdullah, Alqallaf, Abdullah, Durrani, Abdullah, Gabr, Abdullah, Kirfi, Abdullahi Musa, Altaf, Abdulmalik, Almutairi, Abdulmjeed, Sabbagh, Abdulrahman J, Ajiya, Abdulrazak, Haddud, Abdurrahman, Alnsour, Abed Alfattah Mahmoud, Singh, Abhinav, Mittal, Abhishek, Semple, Abigail, Adeniran, Abiodun, Negussie, Abraham, Oladimeji, Abraham, Muhammad, Abubakar Bala, Yassin, Abubaker, Gungor, Abuzer, Tarsitano, Achille, Soibiharry, Adaiah, Dyas, Adam, Frankel, Adam, Peckham-Cooper, 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Fowler, George, Garas, George, Gradinariu, George, Theodoropoulos, George, Tzimas, George, Babis, George, Wong, George Kwok Chu, Cross, George W V, Micha, Georgia, Chrysovitsiotis, Georgio, Koukoulis, Georgio, Peros, Georgio, Tsoulfas, Georgio, Kapetanios, Georgio, Karagiannidis, Georgio, Verras, Georgios-Ioanni, Ekwen, Gerald, Perrotta, Gerardo, Petruzzi, Gerardo, Bertelli, Giacomo, Calini, Giacomo, Fiacchini, Giacomo, Pirola, Giacomo Maria, Dolci, Giampiero, Mendiola, Gian, Baiocchi, Gian Luca, Palini, Gian Marco, Prucher, Gian Marco, D'andrea, Giancarlo, Maggiore, Giandomenico, Cassese, Gianluca, Franceschini, Gianluca, Pellino, Gianluca, Saponaro, Gianmarco, Pattacini, Gianmaria Casoni, Pantuso, Gianni, Iannella, Giannicola, Bonsaana, Gilbert Batieka, Lever, Gillian, Brachini, Gioia, Giraudo, Giorgio, Lisi, Giorgio, Russo, Giorgio Ivan, Aprea, Giovanni, Pascale, Giovanni, Tomasicchio, Giovanni, Sandri, Giovanni Battista Levi, Armatura, Giulia, Turri, Giulia, Zaccaria, Giulia, Barugola, Giuliano, Lantone, Giuliano, Gasparini, Giulio, Iacob, Giulio, Sozzi, Giulio, Zancana, Giuseppa, Mercante, Giuseppe, Bianco, Giuseppe, Brisinda, Giuseppe, Consorti, Giuseppe, Currò, Giuseppe, Giannaccare, Giuseppe, Palomba, Giuseppe, Pascarella, Giuseppe, Rotunno, Giuseppe, Spriano, Giuseppe, Vizzielli, Giuseppe, Cucinella, Giuseppe, Sica, Giuseppe, Campisi, Giuseppina, Baiocchi, Glauco, Guerra, Glen R, Pacheco, Glenda Marina Falcon, Atis, Gokhan, Augustin, Goran, Šantak, Goran, Chauhan, Govind Singh, Branagan, Graham, Harris, Grant, Stewart, Grant D, Padmore, Greg, Kocher, Gregor Jan, Di Franco, Gregorio, De Jesus Labrador Hernandez, Gregorio, Christodoulidis, Gregory, Neal-Smith, Gregory, Yim, Guang, Piozzi, Guglielmo Niccolò, Claret, Guillem, Yanowsky-Reyes, Guillermo, Dhaity, Guipson Dhaity, Cakmak, Guldeniz Karadeniz, Mohamed, Guleed, Kucuk, Gultekin Ozan, Ancans, Gunti, Banipal, Gurpreet Singh, De Bacco Marangon, Gustavo, Laporte, Gustavo, Martinez-Mier, Gustavo, 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Pazmiño, P, Coughlin, P, Kirchweger, P, Pessaux, P, Maguire, P, Petrone, P, Cullis, P, Köglberger, P, Marriott, P, Nankivell, P, Santos-Costa, P, Martins, P, Panahi, P, Botelho, P, Teixeira, P, Escobar, P, Vázquez, P, Gribnev, P, Nolte, P, Agbonrofo, P, Bobak, P, Choong, P, Elbe, P, Hutchinson, P, Labib, P, Paal, P, Pockney, P, Reemst, P, Szatmary, P, Vaughan-Shaw, P, Alexander, P, Pucher, P, Stather, P, Foessleitner, P, Winnand, P, Zehnder, P, Kruse, P, Matos, P, Lapolla, P, Cicerchia, P, Solli, P, Di Lascio, P, Zarif, P, Champagne, P, Anoldo, P, Bertoglio, P, Fransvea, P, Familiari, P, Lombardi, P, Stogowski, P, Bruzzaniti, P, Tripathi, P, D'Sa, P, Salunke, P, Shah, P, Punjabi, P, Christodoulou, P, Hamdan, Q, Tawalbeh, R, Gadelkareem, R, Awad, R, Callcut, R, Clegg, R, Choron, R, Payne, R, Gefen, R, Costea, R, Drasovean, R, Mirica, R, Ravindra, R, Fajardo, R, Nunes, R, Aspide, R, Lombardi, R, Vidya, R, Elboraei, R, Saaid, R, Ghodke, R, Gupta, R, Sharma, R, Lunevicius, R, Kalayarasan, R, Mohan, R, Singh, R, Sivaprakasam, R, Seenivasagam, R, Rajendram, R, Radulescu, R, Goicea, R, Seshadri, R, Sarı, R, Nataraja, R, Aslam, R, Abdelemam, R, Shrestha, R, Bharathan, R, Pellini, R, Guevara, R, Agarwal, R, Vissapragada, R, Alharmi, R, Sayyed, R, Browning, R, Critchley, R, Mallick, R, Alarabi, R, Beron, R, Függer, R, Othman, R, Saad, R, Amores, R, Colombari, R, Radivojević, R, Patrone, R, Novysedlák, R, Huatuco, R, Baertschiger, R, Liang, R, Luckwell, R, Escrevente, R, Rezende, R, Cruz, R, Lenzi, R, Rosati, R, Donovan, R, Egan, R, Morris, R, Page, R, Seglenieks, R, Unsworth, R, Wilkin, R, Skipworth, R, Davies, R, Bezirci, R, Talwar, R, Azami, R, Bohmer, R, Crichton, R, Fruscio, R, Hooker, R, Jach, R, Parker, R, Pillerstorff, R, Sinnerton, R, Stabler, R, O'Connell, R, Ragozzino, R, Tutino, R, Angelico, R, Cammarata, R, Colasanti, R, Macchiavello, R, Peltrini, R, Pirrello, R, Vaschetti, R, Pires, R, Papalia, R, Arrangoiz, R, Hompes, R, Salah, R, Pinto, R, Flumignan, R, Callan, R, Cuthbert, R, Dennis, R, Scaramuzzo, R, Macías, R, Sánchez, R, Ogu, R, Ramely, R, Sgarzani, R, Ramli, R, Hillier, R, Thumbadoo, R, Ooi, R, Abdus-Salam, R, Masri, R, Hodgson, R, Mathew, R, Wade, R, D'Archi, S, Khan, S, Ngaserin, S, Kale, S, Hassan, S, Merghani, S, Benamar, S, Muhammad, S, Badran, S, Elsahli, S, Heta, S, Hammouche, S, Baeesa, S, Paiella, S, Eldeen, S, Arkani, S, Mittal, S, Hirji, S, Tebha, S, Emile, S, Dbouk, S, Bandyopadhyay, S, Olori, S, Asirifi, S, Hailu, S, Ling, S, Newman, S, Ross, S, Wanjara, S, Kumar, S, Seneviratne, S, Tamburello, S, Suarez, S, Ingallinella, S, Irshaidat, S, Konswa, S, Mambrilla, S, Nasser, S, Parini, S, Pitoni, S, Ornaghi, S, Rodrigues, S, Abdelmohsen, S, Aitken, S, Tian, S, Badiani, S, Ahmad, S, Swed, S, Muthu, S, Lakpriya, S, Alzahrani, S, Mikalauskas, S, Lasrado, S, Satoskar, S, Bawa, S, Altiner, S, Garcia, S, Stevens, S, Demir, S, Ken-Amoah, S, Tranca, S, Ziemann, S, Awad, S, Atici, S, Subramaniam, S, Erel, S, Jiang, S, Efetov, S, Efremov, S, Katorkin, S, Valladares, S, Contreras, S, Meriç, S, Zenger, S, Safi, S, Leventoğlu, S, Elsalhawy, S, Shaikh, S, Sheik, S, Islam, S, Shamim, S, Waqar, S, Farid, S, Seraj, S, Sundarraju, S, Karandikar, S, Sambhwani, S, Chopra, S, Chowdhury, S, Laura, S, Ahmed, S, Wason, S, Tan, S, Fraser, S, Williams, S, Ghozy, S, Abdelmawgoud, S, Shehata, S, Sharma, S, Al-Touny, S, Ramzanali, S, Nah, S, Jansen, S, Rajan, S, Dindyal, S, Amin, S, Shoukrie, S, Karar, S, Patkar, S, Abdulsalam, S, Lin, S, Hegde, S, Fiorelli, S, Quaresima, S, Redondo, S, Palmisano, S, Ruggiero, S, Balogun, S, Cais, S, Cole, S, Federer, S, Le Roux, S, Ippoliti, S, Meneghini, S, Viola, S, Manfredelli, S, Novello, S, Gananadha, S, Mesli, S, Tani, S, Malik, S, Anastasiadou, S, Boligo, S, Esposito, S, Valanci, S, Xenaki, S, Pejkova, S, Trungu, S, Basu, S, Alkhatib, S, Pérez-Bertólez, S, Flores, S, Donoghue, S, Lunca, S, Orsoo, S, Potamianos, S, Devarakonda, S, Suresh, S, Croghan, S, Turi, S, Capella, S, Lucchini, S, Magnone, S, Salizzoni, S, Scabini, S, Scaringi, S, Cioffi, S, Seyfried, S, Degener, S, Potten, S, Taha-Mehlitz, S, Ali, S, Angamuthu, S, Mcaleer, S, Knight, S, White, S, Mantziari, S, Kykalos, S, Goh, S, Ibrahim, S, Elzwai, S, Bansal, S, Tripathy, S, Amrayev, S, Anwar, S, Banerjee, S, Thakar, S, Saeed, S, Venkatappa, S, Das, S, Techapongsatorn, S, Dube, S, Lee, S, González-Suárez, S, Henriques, S, Konjevoda, S, Gisbertz, S, Bravo, S, Mannan, S, Bukhari, S, Zafar, S, Batista, S, Chin, S, Arif, T, Lawal, T, Aktokmakyan, T, Osborn, T, Szakmany, T, Sztipits, T, Triantafyllou, T, Valadez, T, Singh, T, Khaliq, T, Patel, T, Fadalla, T, Jichi, T, Sammour, T, Al-Shaiji, T, Naggs, T, Barišić, T, Nikolouzakis, T, Bisgin, T, Perra, T, Uprak, T, Dagklis, T, Liakakos, T, Sidiropoulos, T, Adjeso, T, Dölker, T, Oung, T, Aherne, T, Diehl, T, Pinkney, T, Raymond, T, Rhomberg, T, Schmitz-Rixen, T, Madhuri, T, Lohmann, T, Yeoh, T, Zaimis, T, Bright, T, Vilz, T, Glowka, T, Board, T, Hardcastle, T, Cohnert, T, Mahečić, T, William, T, Klatte, T, Abbott, T, Watcyn-Jones, T, Mendes, T, Kulis, T, Sečan, T, Campagnaro, T, Frisoni, T, Simoncini, T, Violante, T, Safranovs, T, Risteski, T, Pang, T, Akinyemi, T, Yotsov, T, Laeke, T, Kochiyama, T, Sholadoye, T, Alekberli, T, Ezomike, U, Giustizieri, U, Grossi, U, Köksoy, Ü, Bork, U, Kisser, U, Ronellenfitsch, U, Saeed, U, Bracale, U, Jayarajah, U, Rauf, U, Bumbasirevic, U, Ferrer, U, Ahmed, U, Bello, U, Jogiat, U, Sadia, U, Galandarov, V, Narayanan, V, Calu, V, Bianchi, V, Ciniero, V, Tonini, V, Silvestri, V, Vijay, V, Dewan, V, Lohsiriwat, V, Thuduvage, V, Mousafeiris, V, Dragisic, V, Sasireka, V, Santric, V, Kusuma, V, Kolli, V, Alonso, V, De Simone, V, Picotti, V, Martínez, V, Panduro-Correa, V, Kakotkin, V, Angulo, V, Turrado-Rodriguez, V, Krishnamoorthy, V, Ban, V, Shah, V, Maiola, V, Giordano, V, La Vaccara, V, Lizzi, V, Papagni, V, Schiavone, V, Satchithanantham, V, Garcia-Virto, V, Jimenez, V, Kumar, V, Shelat, V, Bhat, V, Sodhai, V, Graziadei, V, 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general surgery ,acute care surgery ,Settore MED/18 - CHIRURGIA GENERALE ,climate change ,trauma ,Settore MED/40 - Ginecologia E Ostetricia ,environmental impact ,surgery ,Settore MED/31 - Otorinolaringoiatria ,None ,Medicine and Health Sciences ,Surgery ,operating theatre ,environment - Abstract
Background: Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods: This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low-middle-income countries. Results: In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of 'single-use' consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low-middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion: This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high- and low-middle-income countries.
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- 2023
21. Care needs and satisfaction with nursing care quality of cancer patients
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AKMAN, MEHMET and Donmez E., Dolu I., Dulger Z., Bayram Z., Can G., Akman M.
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Internal Diseases ,Internal Medicine Sciences ,Klinik Tıp ,OF-LIFE ,Quality of care ,QUESTIONNAIRE ,Patient satisfaction ,Dahili Tıp Bilimleri ,CLINICAL MEDICINE ,Sağlık Bilimleri ,ONCOLOGY ,İç Hastalıkları ,Onkoloji ,Clinical Medicine (MED) ,Tıp ,PEOPLE ,Cancer needs ,Health Sciences ,Cross-sectional studies ,Medicine ,ONKOLOJİ ,Klinik Tıp (MED) ,Nursing Care - Abstract
– Objective: This study aims to determine the relationships between care needs and satisfaction with nursing care quality of chemotherapy-treated cancer patients. Patients and Methods: This cross-sectional study was conducted between November and December 2021 in an Outpatient Chemotherapy Unit in Istanbul. The interview form consists of sociodemographic and treatment-related questions, cancer needs of patients, the satisfaction with the quality of nursing care. Results: Most of the participants were 55 years of age and older (61%), women (57.8%), had comorbid diseases (52.4%), and 48% were diagnosed with stage II cancer (48%). The care needs to be reported frequently by patients were mostly psychological and interpersonal communication. It was determined that the most important variables that increased the health care needs were perception by patients of their health status, age, stage of cancer, and the level of satisfaction they perceive together with the quality of nursing care. Conclusions: This study determined that patient care should be planned based on the factors affecting patient care needs and that care needs could decrease with increasing satisfaction with nursing care.
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- 2022
22. Composition and antimicrobial activity of Juniperus excelsa essential oil
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Gülhan Vardar-Ünlü, Mehmet Ünlü, Nilüfer Vural, Erol Dönmez, Osman Çakmak, [Unlu, M. -- Vardar-Unlu, G.] Ankara Univ, Fac Med, Dept Microbiol, TR-06100 Tandogan, Turkey -- [Vural, N.] Ankara Univ, Sci & Technol Res & Applicat Ctr, TR-06100 Tandogan, Turkey -- [Donmez, E.] Cumhuriyet Univ, Fac Sci & Literature, Dept Biol, TR-58140 Sivas, Turkey -- [Cakmak, O.] Gaziosmanpasa Univ, Fac Art & Sci, Dept Chem, TR-60100 Tokat, Turkey, and VURAL, Nilufer -- 0000-0003-3047-3004
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biology ,Cupressaceae ,Sabinene ,Plant Science ,General Chemistry ,Antimicrobial ,biology.organism_classification ,General Biochemistry, Genetics and Molecular Biology ,law.invention ,chemistry.chemical_compound ,chemistry ,law ,Candida krusei ,Botany ,Antimicrobial chemotherapy ,Juniper ,Juniperus excelsa ,Essential oil - Abstract
WOS: 000255254000040, …
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- 2008
23. Innovative Cancer Follow-Up with Telehealth: A New Method for Oncology Nurses.
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Donmez E, Kilic B, Dulger Z, and Ozdas T
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- Humans, Female, Male, Middle Aged, Adult, Aged, Colorectal Neoplasms nursing, Colorectal Neoplasms psychology, Follow-Up Studies, Oncology Nursing methods, Telemedicine, Qualitative Research
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Objectives: Telenavigation (TN) is an innovative cancer follow-up method for oncology nurses. Little is known about the effectiveness of tele-navigation on cancer patients. This study investigated the opinions of healthcare providers (HCPs) and colorectal cancer patients' experience regarding patient follow-up with TN., Data Sources: This is a phenomenological qualitative study. Semistructured interviews were conducted with fifteen patients and eight healthcare providers. Participants were selected by purposive sampling. Data were collected from March to October 2022 and analyzed by thematic content analysis., Conclusion: Six themes emerged that described the experiences of TN: (1) beneficial; (2) psychological state; (3) level of knowledge, (4) technology, (5) health care system, and (6) recommendations. Patients and HCPs found TN practice helpful and reassuring and they recommended expanding these practices within the health system. As a result of the research, the TN program is described as beneficial to patients and healthcare providers., Implications for Nursing Practice: The TN follow-up is a beneficial implication for colorectal cancer patients undergoing treatment, and it deserves to be more widely deployed. It brings reassurance regarding psychological, reliable data access, and home follow-up. Patients and HCPs reported positive views on telephone follow-up. There is a recommendation that the innovative follow-up technique should be disseminated to the healthcare system and that cancer nurses should be more familiar with this method., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Inc. All rights reserved.)
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- 2024
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24. Positive blood pressure response may predict the recovery of renal function after transcatheter aortic valve implantation.
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Ince O, Gulsen K, Ozcan S, Tugrul S, Katkat F, Karahan S, Donmez E, Kepez A, Sahin I, and Okuyan E
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- Humans, Male, Female, Retrospective Studies, Blood Pressure, Risk Factors, Kidney, Treatment Outcome, Transcatheter Aortic Valve Replacement adverse effects, Aortic Valve Stenosis surgery, Acute Kidney Injury
- Abstract
Objective: Transcatheter aortic valve implantation (TAVI) may ameliorate renal function and increase blood pressure (BP). We aimed to investigate the association between increased BP and improved renal function (IRF) after TAVI., Methods: A total of 176 patients who had undergone TAVI were evaluated retrospectively. BP records that were taken 24 h before and 72 h after TAVI were reviewed. Pre-procedural, post-procedural 48 h, and the first month estimated glomerular filtration rate (eGFR) levels were noted. IRF was accepted as a ≥ 10% increase in eGFR. The predictors of acute kidney injury (AKI) development at 48 h and IRF at 1 month were investigated. The association between mortality and BP response was assessed., Results: A total of 157 patients were included in this study after exclusion as defined in the methodology. Mean age was 78.1 ± 7,1 and 51.6% were female. AKI occurred in 25.5% of patients and baseline eGFR and male gender were found as independent predictors for AKI development. IRF was observed in 16% at 48 h and 31.8% of patients at 1-month follow-up. Positive BP response was seen in 42% of patients. Pre-procedural chronic kidney disease, positive BP response, and an early increase in eGFR emerged as independent predictors of IRF at the first month. The patients with positive BP response were found to have decreased mortality at 710 days follow-up., Conclusion: Positive BP response after TAVI is related to improved survival and renal functions. The beneficial effect of TAVI on renal function may be precisely evaluated at 1st month rather than 48 h., (Copyright © 2023 Wolters Kluwer Health, Inc. All rights reserved.)
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- 2024
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25. Is dynamic change in mean platelet volume related with composite endpoint development after transcatheter aortic valve replacement?
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Ince O, Gulsen K, Ozcan S, Donmez E, Ziyrek M, Sahin I, and Okuyan E
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- Humans, Female, Aged, Aged, 80 and over, Male, Mean Platelet Volume, Treatment Outcome, Risk Factors, Aortic Valve surgery, Transcatheter Aortic Valve Replacement adverse effects, Transcatheter Aortic Valve Replacement methods, Aortic Valve Stenosis surgery, Aortic Valve Stenosis diagnosis
- Abstract
Aortic valve stenosis (AS) is the most common valvular disease, and surgical or transcatheter aortic valve replacement (TAVR) are the treatment options. Diminish in platelet production or dysfunction may occur due to shear stress, advanced age, and other coexisting diseases in AS patients. Bleeding is one of the complications of TAVR and associated with increased mortality. MPV (mean platelet volume) indicates platelet's thrombogenic activity. Overproduction or consumption of platelets in various cardiac conditions may affect MPV values. We aimed to investigate the pre and postprocedure MPV percentage change (MPV-PC) and its association with post-TAVR short-term complications. A total of 204 patients who underwent TAVR with a diagnosis of severe symptomatic AS were included. The mean age was 78.66 ± 6.45 years, and 49.5% of patients were women. Two groups generated according to composite end point (CEP) development: CEP(+) and CEP(-).110 patients(53.9%) formed CEP(+) group. Although baseline MPV and platelet levels were similar between groups, MPV was increased ( P < 0.001) and platelet was decreased ( P < 0.001) significantly following the procedure when compared to baseline. MPV-PC was significantly higher in the VARC type 2-4 bleeding ( P = 0.036) and major vascular, access-related, or cardiac structural complication groups ( P = 0.048) when CEP subgroups were analyzed individually. Regression analysis revealed that diabetes mellitus [ P = 0.044, β: 1.806 odds ratio (95% confidence interval): 1.016-3.21] and MPV-PC [ P = 0.007,β: 1.044 odds ratio (95% confidence interval): 1.012-1.077] as independent predictors of CEP development at 1 month after TAVR. The MPV increase following TAVR may be an indicator of adverse outcomes following TAVR procedure within 1-month., (Copyright © 2023 Wolters Kluwer Health, Inc. All rights reserved.)
- Published
- 2023
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26. Role of Cardiac Risk Scores in Clinical Use to Predict Outcomes of Acute Ischemic Stroke.
- Author
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Ozcan S, Donmez E, Coban E, Korkut E, Ziyrek M, Sahin I, and Okuyan E
- Subjects
- Humans, Retrospective Studies, Risk Assessment, Risk Factors, Prognosis, Ischemic Stroke, Stroke etiology, Stroke complications, Atrial Fibrillation complications
- Abstract
Introduction: Acute coronary syndromes and ischemic stroke have similar risk factors. Risk scores help to identify disease severity in both diseases. We aimed to evaluate if HEART (History, ECG, Age, Risk factors, and Troponin) score could predict re-hospitalization, recurrent cardiac/cerebrovascular events risk, and mortality within 1-year follow-up in patients presenting with acute ischemic stroke., Methods: Patients hospitalized with a diagnosis of acute ischemic stroke in our tertiary center between 2019 and 2021 were included in this retrospective study. CHA
2 DS2 -VASc and HEART scores on admission were calculated. In-hospital, 1-month, and 1-year mortalities, as well as re-hospitalization due to recurrent ischemic (cardiac/cerebral), were defined as major adverse cardiac and cerebrovascular events (MACCE), and occurrence of MACCE was accepted as the primary endpoint of the study. Comparative statistical and regression analyses were obtained., Results: A total of 297 patients were included. The mortality rate for 30 days was 7.4% and 1 year was 20.5%. HEART and CHA2 DS2 -VASc scores were found independent risk factors associated with the occurrence of MACCE. Patients who experienced MACCE had higher HEART and CHA2 DS2 -VASc scores. Meanwhile, HEART score had better prognostic accuracy than CHA2 DS2 -VASc score when a cutoff value of 3.5 was set, which is associated with 84.7% sensitivity and 75.2% specificity in the prediction of MACCE., Conclusion: HEART score is effective in determining re-hospitalization and recurrent cerebral ischemic event risk as well as mortality within 30 days and 1 year in patients presenting with acute ischemic stroke. Thus, concomitant use of HEART and CHA2 DS2 -VASc scores may provide better characterization of worse prognosis in ischemic stroke patients with high sensitivity and specificity., Competing Interests: None- Published
- 2023
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27. Analysis of cyber security knowledge gaps based on cyber security body of knowledge.
- Author
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Catal C, Ozcan A, Donmez E, and Kasif A
- Abstract
Due to the increasing number of cyber incidents and overwhelming skills shortage, it is required to evaluate the knowledge gap between cyber security education and industrial needs. As such, the objective of this study is to identify the knowledge gaps in cyber security graduates who join the cyber security workforce. We designed and performed an opinion survey by using the Cyber Security Knowledge Areas (KAs) specified in the Cyber Security Body of Knowledge (CyBOK) that comprises 19 KAs. Our data was gathered from practitioners who work in cyber security organizations. The knowledge gap was measured and evaluated by acknowledging the assumption for employing sequent data as nominal data and improved it by deploying chi-squared test. Analyses demonstrate that there is a gap that can be utilized to enhance the quality of education. According to acquired final results, three key KAs with the highest knowledge gap are Web and Mobile Security, Security Operations and Incident Management. Also, Cyber-Physical Systems (CPS), Software Lifecycles, and Vulnerabilities are the knowledge areas with largest difference in perception of importance between less and more experienced personnel. We discuss several suggestions to improve the cyber security curriculum in order to minimize the knowledge gaps. There is an expanding demand for executive cyber security personnel in industry. High-quality university education is required to improve the qualification of upcoming workforce. The capability and capacity of the national cyber security workforce is crucial for nations and security organizations. A wide range of skills, namely technical skills, implementation skills, management skills, and soft skills are required in new cyber security graduates. The use of each CyBOK KA in the industry was measured in response to the extent of learning in university environments. This is the first study conducted in this field, it is considered that this research can inspire the way for further researches., Competing Interests: Conflicts of interestThe authors have no conflicts of interest to declare that are relevant to the content of this article., (© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022, corrected publication 2022Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.)
- Published
- 2023
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28. A hybrid DNN-LSTM model for detecting phishing URLs.
- Author
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Ozcan A, Catal C, Donmez E, and Senturk B
- Abstract
Phishing is an attack targeting to imitate the official websites of corporations such as banks, e-commerce, financial institutions, and governmental institutions. Phishing websites aim to access and retrieve users' important information such as personal identification, social security number, password, e-mail, credit card, and other account information. Several anti-phishing techniques have been developed to cope with the increasing number of phishing attacks so far. Machine learning and particularly, deep learning algorithms are nowadays the most crucial techniques used to detect and prevent phishing attacks because of their strong learning abilities on massive datasets and their state-of-the-art results in many classification problems. Previously, two types of feature extraction techniques [i.e., character embedding-based and manual natural language processing (NLP) feature extraction] were used in isolation. However, researchers did not consolidate these features and therefore, the performance was not remarkable. Unlike previous works, our study presented an approach that utilizes both feature extraction techniques. We discussed how to combine these feature extraction techniques to fully utilize from the available data. This paper proposes hybrid deep learning models based on long short-term memory and deep neural network algorithms for detecting phishing uniform resource locator and evaluates the performance of the models on phishing datasets. The proposed hybrid deep learning models utilize both character embedding and NLP features, thereby simultaneously exploiting deep connections between characters and revealing NLP-based high-level connections. Experimental results showed that the proposed models achieve superior performance than the other phishing detection models in terms of accuracy metric., Competing Interests: Conflict of interestThe authors have no conflicts of interest to declare that are relevant to the content of this article., (© The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2021.)
- Published
- 2023
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29. Early integration of palliative care among cancer patients: The perspective of oncology nurses in Turkey.
- Author
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Temiz G, Bayram Z, Akin S, Donmez E, and Salamanca Mapi N
- Subjects
- Humans, Palliative Care methods, Cross-Sectional Studies, Clinical Competence, Quality of Life, Turkey, Surveys and Questionnaires, Nurses, Neoplasms therapy
- Abstract
Objective: Cancer is a disease that threatens the life of patients and causes chronic health problems and many symptoms that affect their quality of life. For this reason, patients must be followed up in palliative care units, where they can receive more comprehensive care from the diagnosis stage. This study was conducted to evaluate the views and knowledge level of oncology nurses in the integration of early palliative care among cancer patients., Method: A hospital-based descriptive cross-sectional study design of the research was employed to gather data from 106 nurses working in different areas of oncology in hospitals located in different cities in country from March to May 2021., Results: Nurses' total scores on the Palliative Care Knowledge Test differed significantly by age, years of working in the profession, the unit worked and the working time in the unit (p < 0.05)., Conclusion: The results of the study showed that the nurses' knowledge of palliative care was above the moderate level. The nurses with high knowledge scores advocated the need for early integration of palliative care. Moreover, the results also indicated that there is a need to increase the educational level of nurses in palliative care., (© 2022 John Wiley & Sons Ltd.)
- Published
- 2022
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30. Elimination of healthcare-associated Acinetobacter baumannii infection in a highly endemic region.
- Author
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Ergonul O, Tokca G, Keske Ş, Donmez E, Madran B, Kömür A, Gönen M, and Can F
- Subjects
- Adult, Aged, Aged, 80 and over, Anti-Bacterial Agents pharmacology, Anti-Bacterial Agents therapeutic use, Bacterial Proteins, Female, Humans, Male, Microbial Sensitivity Tests, Middle Aged, Prospective Studies, Turkey, beta-Lactamases genetics, Acinetobacter Infections drug therapy, Acinetobacter Infections epidemiology, Acinetobacter Infections prevention & control, Cross Infection epidemiology, Cross Infection prevention & control
- Abstract
This paper describes the elimination of healthcare-associated Acinetobacter baumannii infections in a highly endemic region. A prospective, observational study was performed between October 2012 and October 2017. Acinetobacter baumannii were isolated from 59 patients, and >95% similarity was demonstrated among isolates of seven patients (DiversiLab™, BioMérieux). Carbapenemase activity was detected in 15 of 17 (88%) isolates, and all were OXA-23 type. The control of Acinetobacter baumannii outbreaks can be achieved by close follow-up supported by molecular techniques, strict application of infection control measures, and isolation of transferred patients., Competing Interests: Declaration of Competing Interest There are no conflicts of interest., (Copyright © 2021 The Author(s). Published by Elsevier Ltd.. All rights reserved.)
- Published
- 2022
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31. Failure to Detect Viral RNA in Follicular Fluid Aspirates from a SARS-CoV-2-Positive Woman.
- Author
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Demirel C, Tulek F, Celik HG, Donmez E, Tuysuz G, and Gökcan B
- Subjects
- Adult, COVID-19 virology, Female, Humans, Infertility, Female diagnosis, Infertility, Female physiopathology, Predictive Value of Tests, COVID-19 diagnosis, COVID-19 Nucleic Acid Testing, Follicular Fluid virology, Infertility, Female therapy, Oocyte Retrieval, RNA, Viral genetics, SARS-CoV-2 genetics, Sperm Injections, Intracytoplasmic
- Abstract
Although there is no known difference between the clinical manifestations of SARS-CoV-2 in pregnant and non-pregnant women based on the studies published until now, in vitro fertilization (IVF) treatments were suspended during the pandemic due to uncertainties with the suggestions of associated societies. However, we do not have enough data on the exact effects of SARS-CoV-2 on fertility and pregnancy and whether there are damaging effects on IVF outcome. There is no available evidence about the transmission of SARS-CoV-2 by either sexual way or through intrauterine insemination (IUI) or IVF. Up until now, there is no report to document the presence or absence of viral RNA in follicular fluid of SARS-CoV-2-positive women. In this paper, we present a case of oocyte retrieval from a SARS-CoV-2-positive woman and the search for viral RNA by polymerase chain reaction (PCR) in the follicular fluid aspirates., (© 2021. Society for Reproductive Investigation.)
- Published
- 2021
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32. The impact of a poor quality embryo on the implantation chance of a good quality one when transferred together: A study on double blastocyst transfers.
- Author
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Demirel C, Goksever Celik H, Tulek F, Tuysuz G, Donmez E, Ergin T, Buyru F, and Bastu E
- Subjects
- Adult, Embryo Implantation, Female, Humans, Pregnancy, Retrospective Studies, Sperm Injections, Intracytoplasmic, Embryo Transfer methods, Live Birth, Pregnancy Rate
- Abstract
Objective: Embryo quality assessment with morphological evaluation remains the first-line method of assessment to select the best embryo for transfer. We aimed to determine if an effect of poor quality embryos on good quality ones exists, whether by a paracrine effect or an adverse endometrial influence, when they are transferred together., Materials and Methods: We included 412 couples, who underwent intracytoplasmic sperm injection (ICSI) cycles in a tertiary IVF center. Single embryo transfer with a good quality embryo and double embryo transfers with a good + poor quality embryo were evaluated. Overall pregnancy (PR) and live birth rates (LBR) were our main outcome measures., Results: When PR and LBR are compared, there was no statistical significance between single embryo transfer (SET) and double embryo transfer (DET) groups (51.7 % vs 53.7 %, p = 0.620 and 47 % vs 43.1 %, p = 0.117). When the PR and LBRs were compared between SET from poor cohort and DET group, the outcomes were better in DET group (22.1 % vs 53.7 %, p < 0.001 and 22.1 % vs 43.1 %, p < 0.001). The PR and LBRs of SET from good cohort were significantly better than those of DET (64.4 % vs 53.7 %, p < 0.001 and 57.7 % vs 43.1, p < 0.001). When the PR and LBRs of SET from good cohort and SET from poor cohort were compared, better results were obtained in SET from good cohort., Conclusion: The addition of poor quality embryo even is of benefit to the LBR, in the setting of when there is only one good quality blastocyst available for the transfer., Competing Interests: Declaration of Competing Interest The authors declare that they do not have any conflict of interest in regard to this article., (Copyright © 2020 Elsevier Masson SAS. All rights reserved.)
- Published
- 2021
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33. The association between CHA2DS2-VASc score and erectile dysfunction: a cross-sectional study.
- Author
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Karabulut D, Karabulut U, Cağlar FN, Ekşi M, Yenice MG, Guner E, Donmez E, Oflar E, TaşcI Aİ, and Akturk F
- Subjects
- Adult, Age Factors, Aged, Anthropometry, Cross-Sectional Studies, Diabetes Mellitus physiopathology, Heart Failure physiopathology, Humans, Hypertension physiopathology, Male, Middle Aged, Reference Values, Reproducibility of Results, Risk Factors, Statistics, Nonparametric, Stroke physiopathology, Erectile Dysfunction diagnosis, Erectile Dysfunction physiopathology, Risk Assessment methods
- Abstract
Purpose: This study aims to assess the association between CHA2DS2-VASc score and erectile dysfunction in patients who were admitted to cardiology outpatient clinics., Materials and Methods: One hundred and two male patients who were admitted to the cardiology outpatient clinic were included to the study. Erectile dysfunction was evaluated in the urology outpatient clinic in the same hospital and scored using Turkish Version of The International Index of Erectile Function. CHA2DS2-VASc score was calculated for every patient using the current associated guidelines., Results: There was a negative correlation between The International Index of Erectile Function score and CHA2DS2-VASc score, age, hypertension, heart failure, diabetes mellitus, stroke respectively. Smoking and dislipidemia were not correlated with The International Index of Erectile Function score (p>0.05)., Conclusion: CHA2DS2-VASc score can be used to detect Erectile dysfunction in patients who are admitted to the cardiology outpatient clinics., Competing Interests: None declared., (Copyright® by the International Brazilian Journal of Urology.)
- Published
- 2019
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34. The acute effects of edge-to-edge percutaneous mitral valve repair on the shape and size of the mitral annulus and its relation to mitral regurgitation.
- Author
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Donmez E, Salcedo EE, Quaife RA, Burke JM, Gill EA, and Carroll JD
- Subjects
- Adult, Aged, Aged, 80 and over, Female, Humans, Male, Middle Aged, Mitral Valve diagnostic imaging, Mitral Valve physiopathology, Mitral Valve Insufficiency physiopathology, Retrospective Studies, Risk Factors, Severity of Illness Index, Treatment Outcome, Echocardiography, Three-Dimensional methods, Echocardiography, Transesophageal methods, Heart Valve Prosthesis Implantation, Mitral Valve Insufficiency diagnostic imaging, Mitral Valve Insufficiency surgery
- Abstract
Background: The effects of edge-to-edge percutaneous mitral valve repair on the shape and size of the mitral annulus and its relation to mitral regurgitation (MR) have not been well characterized. We evaluated acute changes in mitral annular shape and dimensions, and their effect on MR severity, in patients with functional and degenerative MR following MitraClip
® ., Methods: Patients that underwent MitraClip® between January 2013 and May 2016 at our institution were retrospectively reviewed., Exclusions: inadequate images, prior mitral valve repair, and rapid atrial fibrillation. Intra-procedure TEE 3D images acquired prior to and after implantation of MitraClip® were analyzed using software to model the mitral valve apparatus., Results: Of seventy-eight patients that underwent MitraClip® procedure, 60 were eligible. Mean age was 78.3 ± 11 years. Severe MR (4+) was present in 37 patients, moderately/severe MR (3+) in 23. All patients achieved MR reduction to ≤2. 3D annular circumference, bicommissural diameter, and anteroposterior diameter had a significant size reduction after MitraClip® . None of the mitral annular measures had significantly different mean change between the large and small MR change groups at the 0.05 significance level., Conclusions: In patients with functional or degenerative MR, the MitraClip® significantly affect mitral annular dimensions; however, these changes do not correlate with the immediate MR reduction., (© 2019 Wiley Periodicals, Inc.)- Published
- 2019
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35. The Presence of Endometrioma Does Not Impair Time-Lapse Morphokinetic Parameters and Quality of Embryos: A Study On Sibling Oocytes.
- Author
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Demirel C, Bastu E, Aydogdu S, Donmez E, Benli H, Tuysuz G, Keskin G, and Buyru F
- Subjects
- Adult, Endometriosis physiopathology, Female, Humans, Prospective Studies, Siblings, Sperm Injections, Intracytoplasmic, Time-Lapse Imaging, Young Adult, Embryonic Development, Endometriosis embryology, Oocytes growth & development
- Abstract
Objective: To see whether the oocytes retrieved from an ovary with an endometrioma would develop into embryos with aberrant timings of cleavage as assessed using time-lapse monitoring (TLM) and poorer morphologic quality compared with sibling oocytes from the contralateral ovary with no endometrioma in the same patient after intracytoplasmic sperm injection., Methods: This was an observational prospective study at an in vitro fertilization (IVF) center of a private hospital. It included analysis and comparison of 128 embryos (69 embryos developed from the ovary with endometrioma and 59 embryos from the contralateral ovary without endometrioma serving as controls from a total of 20 women with infertility). Morphology of the embryo was assessed twice (days 3 and 5), again by capturing images with the TLM system. Morphokinetic parameters of embryos and clinical pregnancy rates were recorded separately from ovaries with and without endometrioma and were the primary outcomes of the study. Secondary outcomes included number of retrieved oocytes, number of metaphase II (MII) oocytes, fertilization rates, and conventional morphological classification of embryos., Results: There were no differences in terms of the following time-lapse morphokinetic parameters of embryos. The mean numbers of oocytes and MII oocytes collected from the ovary with the endometrioma were similar to those collected from the contralateral ovary without endometrioma. Fertilization rates and the percentage of embryos with top morphologic quality were also similar., Conclusions: According to the morphokinetic parameters, this study further strengthens the notion that removal of endometriomas before IVF is not a necessity in terms of better oocyte quality and development., (© The Author(s) 2016.)
- Published
- 2016
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36. Outcomes of Micro-Dissection TESE in Patients with Non-Mosaic Klinefelter's Syndrome without Hormonal Treatment.
- Author
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Ozveri H, Kayabasoglu F, Demirel C, and Donmez E
- Abstract
Background: Klinefelter syndrome (KS) is the most common sex chromosomal disorder in males and historically patients have been labeled as sterile. After the introduction of microdissection testicular sperm extraction (micro-TESE), successful sperm retrievals for intracytoplasmic sperm injection (ICSI) have been reported., Materials and Methods: A retrospective study was undertaken on ten patients with non-mosaic KS undergoing micro-TESE for ICSI. The testicular volume and FSH and LH levels of each patient were measured. Karyotypes were confirmed by analyzing peripheral lymphocyte metaphases. Physical examination of the external genitalia was performed in all patients to rule out any co-existing anomaly. Micro-TESE was performed in order to investigate the presence of seminiferous tubules which may contain spermatozoa. When testicular spermatozoa were found in micro-TESE, ICSI was performed. Embryos were evaluated for further development. Fertilization was considered to have occurred after the visualization of the two pro-nuclei stage of the oocyte 24 hours after the intracytoplasmic injection of the motile spermatozoa. Pregnancy was confirmed by visualization of an intrauterine gestational sac under ultrasonographic examination., Results: Testicular biopsy revealed motile spermatozoa in 6 of 9 patients (66.6 %). Fertilization rate per embryo-transfer was 40%. One patient was able to conceive and fathered a healthy boy weights 3410 g at the 39(th) week of gestation., Conclusion: Retrieval of testicular spermatozoa by micro-TESE is possible for azoospermic men with KS when assisted reproductive techniques are applied. For patients with KS who want to conceive, assisted reproductive techniques (ART) should be recommended.
- Published
- 2015
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- View/download PDF
37. Incidental asymptomatic accessory mitral valve: a differential diagnosis for intracardiac mass.
- Author
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Donmez E, Seker T, Icen YK, Elbasan Z, Gur M, and Cayli M
- Subjects
- Diagnosis, Differential, Humans, Incidental Findings, Male, Middle Aged, Asymptomatic Diseases, Echocardiography, Heart Defects, Congenital diagnostic imaging, Heart Neoplasms diagnostic imaging, Mitral Valve abnormalities, Mitral Valve diagnostic imaging
- Abstract
Accessory mitral valve is a rare entity which is commonly detected in children. It might present as a cause for left ventricular outflow obstruction, aortic regurgitation or a source for thromboembolic event. Diagnosis is based on echocardiographic findings, transesophageally when possible. Usually treatment is not required however treatment decisions are based on associated abnormalities and symptoms. Our aim is to report a case which was referred to our clinic as a suspected intracardiac mass.
- Published
- 2014
- Full Text
- View/download PDF
38. Synthesis, molecular structure, spectroscopic studies and second-order nonlinear optical behaviour of N,N'-(2-hydroxy-propane-1,3-diyl)-bis(5-nitrosalicylaldiminato-N,O)-copper(II).
- Author
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Donmez E, Kara H, Karakaş A, Unver H, and Elmali A
- Subjects
- Crystallography, X-Ray, Models, Chemical, Solvents, Spectroscopy, Fourier Transform Infrared, Static Electricity, Copper chemistry, Nonlinear Dynamics, Organometallic Compounds chemical synthesis, Organometallic Compounds chemistry
- Abstract
N,N'-(2-Hydroxy-propane-1,3-diyl)-bis(5-nitrosalicylaldiminato-N,O)-copper(II) has been synthesized. The crystal structure has been determined by X-ray diffraction analysis, and linear optical characterization has been determined by UV-vis spectroscopy. It was found that the molecule under investigation has solvatochromic behaviour in the UV region, implying non-zero microscopic first hyperpolarizability. To reveal the microscopic nonlinear optical (NLO) properties, the static first hyperpolarizabilities (beta) and the electric dipole moments (mu) were evaluated by using the ab initio finite field (FF) method. According to the results of the FF calculations, the synthesized compound exhibits non-zero beta values, and it might have microscopic NLO behaviour.
- Published
- 2007
- Full Text
- View/download PDF
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