163 research outputs found
Should CAM and CAM Training Programs Be Included in the Curriculum of Schools That Provide Health Education?
No full textWOS: 000391111100008PubMed ID: 28116222Objectives: This study aimed to determine the knowledge levels and attitudes of School of Health and Vocational School of Health students toward complementary and alternative medicine (CAM). Methods: Three hundred thirty-three (333) students studying at the Mehmet Akif Ersoy University School of Health and the Golhisar Vocational School of Health in Burdur, Turkey, were included in the study. Research data were collected by using a survey method based on the expressed opinions of the participants. Results: Of the participants, 69.7% were female and 97% were single (unmarried). Of cigarette users and those with chronic illnesses, 46.8% and 47.8%, respectively, used CAM. Those using CAM were statistically more likely to be female (P < 0.021), to have higher grades (P < 0.007), to be single (P < 0.005), to be vocational school of health graduates (P < 0.008), and to have fathers at work (P < 0.021). While 9.6% of the students thought CAM to be nonsense, 10.8% thought that the methods of CAM should be tried before consulting a doctor. Conclusion: A majority of the students in the study pop-ulation were found to use complementary and alternative medicine, but that they lacked information about its methods. As a way to address this, CAM should be included in the curriculum of schools that provide health education, and CAM training programs should be given to healthcare professionals to improve their knowledge of CAM. In Turkey, many more studies should be performed to determine nurses' and doctors' knowledge of and attitudes about CAM methods so that they can give correct guidance to society and take more active responsibility in improving patient safety
Correction to: Evaluation of the effects of miRNAs in familial Mediterranean fever (Clinical Rheumatology, (2019), 38, 3, (635-643), 10.1007/s10067-017-3914-0)
No full textThe name of the last author of this article was incorrectly presented as “Cogulu Ozgur” this should have been “Ozgur Cogulu”. © 2019, International League of Associations for Rheumatology (ILAR)
PREPARATION OF ANION-EXCHANGE CELLULOSE FOR THE REMOVAL OF CHROMATE
No full textarar, ozgur OA/0000-0002-3687-9534The quaternary ammonium group containing cellulose was prepared by the one-pot method and applied for the removal of chromate (CrO42-) ions from aqueous solution. the prepared sorbent was characterized by using elemental analyzer and Fourier transform infrared (FTIR) spectroscopy. Its ion exchange behavior toward CrO42- ions was investigated as a function of sorbent dose and initial solution pH. the kinetic and sorption equilibrium experiments were also carried out in a batch system. Equilibrium data were best fitted with the Langmuir model and the maximum ion exchange capacity of the sorbent was found as 3.8 mg of CrO42-/g sorbent. Moreover, the removal of CrO42- is achieved within 5 minutes. Furthermore, the calculated thermodynamic parameters disclosed that the ion exchange reaction is feasible, spontaneous and exothermic. in addition, the CrO42- ions can be desorbed from the sorbent by 1.0 M HCl solution with 95% regeneration efficiency.Ege University Scientific Research Projects Coordination UnitEge University [18-FEN-044]This study is supported by Ege University Scientific Research Projects Coordination Unit (Project Number: 18-FEN-044). the author thanks Denkim Kimya A.S. for proving the cellulose samples
Screening of Zeolitic Imidazolate Frameworks for Preconcentration of Hazardous Chemicals
No full textThe Attitudes and Behaviours of Physicians Working in Burdur, Turkey Toward Rational Medicine Use
No full textonal, ozgur/0000-0001-6514-2120WOS: 000402382500014Aim: This study aimed to define the manner and behaviour of first line treatment physicians' and general practitionars that work in the second line treatment hospitals regarding rational medicine use (RMU) in the centre of Burdur and its surrounding districts. Material and Method: This descriptive study includes first line treatment physicians' prescribing medication and general practitionars that work in the second line treatment hospitals (total N=102) in the centre of Burdur, Turkey and its surrounding districts. There was no sampling for the study. All the physicians who agreed to participate were reached through a survey taker with a face-to-face interview between April 1, 2015 and July 7, 2015. 98 physicians participated in the study. The data from the study were analysed using the SPSS 17.0 for Windows program. Measurable values were described as arithmetic mean and standard deviation, and countable values were calculated as numbers and percentage. Results: In the study including 98 physicians, 78 (79.6%) of them were males, 75 (76.5%) were married, and their average age was 40.77 +/- 8.77. The leading factors affecting physicians' prescriptions were post-graduate studies as cited by 82 (83.7%) and pharmacology lessons for 75 (76.5%). Drug company presentations were the least important factor, cited by 22 physicians (22.4%). The most important criteria for physicians in prescribing were the effectiveness of the drug as cited by 97 (99%) and reliability of the drug for 96 (98%). Also, 98 of the physicians (100%) stated that patients asked them to prescribe certain drugs. However, only eight physicians (8.2%) indicated that they always prescribed the drug demanded by the patient while 88 physicians (89.8%) indicated that they sometimes did this. Discussion: Physicians are frequently asked by patients to prescribe painkillers and antibiotics. However, the physicians cannot always meet these demands from the RMU point of view. Our study revealed that physicians should be informed about RMU principles within the scope of continuing medical education. This topic is important for patients' lives and safety
An Efficient Technique Based on Deep Learning for Automatic Focusing in Microscopic System
No full textDuring microscopic examination process, experts firstly determine the most appropriate focusing point by precisely moving the microscope stage in the Z axis. This manual focusing process may cause variability in results depending on hand-eye coordination and individual experience. Therefore, the development of automatic focusing offers superior quality and consistent imaging. Many researchers have studied automatic focusing systems and proposed many focus functions to extract focus information from multi-focus images. Nevertheless, these focusing systems still consist of several significant limitations such as requiring a supplementary material, longer running time, producing different performance depending on the sample and magnification objective. In this study, an efficient technique based on deep learning is proposed to automatically determine the focused image during microscopic examination processes to minimize these limitations in the literature. This technique takes a sequence of images with the same field of view and different focuses as input and gives the image with maximum focusing as output. The proposed technique is compared with other automatic focusing techniques on the literature. In this study, novel multi-focus image sequences obtained from liver, intestine, heart, kidney, and lung samples is prepared to evaluate the performance of automatic focusing techniques. These sequences are obtained by scanning with 10× and 40× magnification objectives. Running time, accuracy, number of local maximum points, range, and noise levels are used as evaluation criteria in this study. According to evaluation criteria results obtained in this study, it has been proven that the proposed technique provides better performance than other automatic focusing techniques. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024
Innovation ecosystems as structures: Actor roles, timing of their entrance, and interactions
No full textDespite their importance little is known about how innovation ecosystems come into existence. We address this gap through an historical case study Herceptin, a revolutionary drug developed for the treatment of ovarian and breast cancer, and the innovation ecosystem that emerged around this drug between 1978 and 1998. Through qualitative content analysis of a broad scope of archival documents (2474 in total), we define a cast of roles and determine their timing of entry onto the stage of ecosystem emergence, and in turn describe the interaction of these roles that govern emergence. We find that the locus of ecosystem emergence shifts gradually from discovery, resource provision and commitment, to the formation of connections and trust, and finally to complementarity and value creation. These activities are facilitated by specific roles that gain significance at various points in time. We additionally witness shifts in interaction dynamics, from individual level interactions early on, to interactions across levels, and finally to interactions at the organisational level. We synthesize these findings to propose a framework of a processual understanding of how innovation ecosystems come into existence.Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Economics of Technology and Innovatio
Investigating impact of work zones on crash frequency, severity and traffic
No full textWork zone presence is an important concern for drivers in terms of safety and congestion. In recent years, work zone safety has received much attention due to numerous highway renovation projects that have resulted in many work zone crashes. To minimize the effect of work zones on roadway safety risks and traffic conditions, potential factors need to be addressed and countermeasures need to be implemented to ensure that the motorist can drive in a safe manner. The impact of the work zones can be estimated by using descriptive analysis and different statistical modeling methods. To this end, this study focused on three major areas: the crash frequency at work zones, the crash severity at work zones and the change in traffic conditions at work zones. Statistically robust models were developed by incorporating integrated datasets that could identify significant factors affecting each of these study areas. To better understand this, different from the previous studies, model results were compared against reference conditions, such as work zone crash frequency and modeling parameters were compared with non-work zone parameters. In addition, different statistical modeling techniques were applied to examine the best model or set of variables to connect crash severity and possible causative factors for binary level and multiple level outcomes. Two crash severity indexes were proposed and used to estimate multilevel crash severity by using both maximum severity and the monetary cost weighted severity. Besides safety issues, different types of lane closures and crashes observed within lane closures were studied to examine if there would be a change in traffic conditions compared with normal time traffic. Comparisons of each concept provides an idea for agencies about the differences of work zone and non-work zone conditions which is important if indeed there is a specific impact for the work zone cases. Work zone presence was found to have an increasing effect on crash occurrence. Nighttime shifts were found to be safer when compared to daytime work zone periods. Injury crashes for two-lane closure cases were found to have a more marked impact on traffic volume compared with other cases studied in this dissertation. In the conclusions chapter, all of these findings are summarized along with specific recommendations.Ph. D.Includes bibliographical referencesby Ozgur Oztur
A Joint Inversion Method for Breast Imaging using Electromagnetic and Acoustics waves
No full textUltrasound and microwave scanners are developed to scan the breast on the presence of cancer. Typically, these modalities are used independently. Here we investigate if we can achieve an improved resolution if we merge both modalities into a single device. In particular, we test if we can improve the resolution of the resulting images by employing a joint inversion method on both data sets as compared to doing two independent inversions leading to two independent images. For the joint inversion an error functional is employed that contains two terms; the first one represents the mismatch between the measured and modeled acoustic and electromagnetic wave fields whereas the second term links the two reconstructed contrast profiles with each other. Results show that joint Born inversion leads indeed to an improved reconstruction as compared to two independent Born inversions.Accepted Author ManuscriptImPhys/Acoustical Wavefield Imagin
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