Islamization in Turkey under AKP as perceived by employed mothers: A qualitative study

Master in social science - Nord university, 201

Deserts: Can they be the potential suppliers of bioavailable iron?

GEOPHYSICAL RESERCH LETTERS VOL. 29, NO. 11に収録されている原

Sociotropic personality traits positively correlate with the severity of social anxiety

Aim. To investigate sociotropic-autonomic personality characteristics and their clinical implications in social anxiety disorder (SAD).  Methods. The study included 68 consecutive patients who were either being followed up on an outpatient basis or presented for the first time to the psychiatric clinics of Bakirkoy Research and Training Hospital for Psychiatry, Neurology and Neurosurgery or Trakya University School of Medicine between May 2012 and May 2013, and were diagnosed primarily with generalised SAD according to Diagnostic and Statistical Manual of Mental Disorders, 4th edition (DSM-IV) diagnostic criteria. Beck Depression Inventory (BDI), Sociotropy-Autonomy Scale (SAS), Symptom Checklist-90-R (SCL-90-R), Liebowitz Social Anxiety Scale (LSAS) and a sociodemographic data collection form designed by the authors were used as primary assessment instruments.  Results. The mean age (standard deviation (SD)) of the sample group was 23.73 (8.85) years; 37 (54.4%) were female and 31 (45.6%) were male. LSAS mean (SD) total fear score was 63.51 (13.74), mean total avoidance score was 61.24 (14.26), BDI mean score was 16.99 (9.58), SAS mean sociotropy score was 71.06 (16.79), and mean autonomy score was 63.22 (16.04). A statistically significant positive correlation was found between SAS sociotropy scores and LSAS fear and avoidance total scores, BDI scores and all subscales of SCL-90-R (p<0.01). There were no statistically significant correlations between SAS autonomy scores and LSAS fear and avoidance total scores, BDI scores and all subscales of SCL-90-R (p>0.05).  Conclusion. Sociotropic personality characteristics in patients with SAD have been found to positively correlate with depression and social anxiety levels. Addressing this finding during treatment sessions and helping the patient increase flexibility in appraisal of social life events may have a positive impact on treatment outcome

Computer vision based analysis of potato chips - A tool for rapid detection of acrylamide level

In this study, analysis of digital color images of fried potato chips were combined with parallel LCMS based analysis of acrylamide in order to develop a rapid tool for the estimation of acrylamide during processing. Pixels of the fried potato image were classified into three sets based on their Euclidian distances to the representative mean values of typical bright yellow, yellowish brown, and dark brown regions using a semiautomatic segmentation algorithm. The featuring parameter extracted from the segmented image was NA2 value which was defined as the number of pixels in Set-2 divided by the total number of pixels of the entire fried potato image. Using training images of potato chips, it was shown that there was a strong linear correlation (r = 0.989) between acrylamide level and NA2 value. Images of a number of test samples were analyzed to predict their acrylamide level by means of this correlation data. The results confirmed that computer vision system described here provided explicit and meaningful description from the viewpoint of inspection and evaluation purpose for potato chips. Assuming a provisional threshold limit of 1000 ng/g for acrylamide, test samples could be successfully inspected with only one failure out of 60 potato chips. © 2006 Wiley-VCH Verlag GmbH & Co. KGaA

Profiling turkish honeys to determine authenticity using physical and chemical characteristics

Seventy authentic honey samples of 9 different floral types (rhododendron, chestnut, honeydew, Anzer (thymus spp.), eucalyptus, gossypium, citrus, sunflower, and multifloral) from 15 different geographical regions of Turkey were analyzed for their chemical composition and for indicators of botanical and geographical origin. The profiles of free amino acids, oligosaccharides, and volatile components together with water activity were determined to characterize chemical composition. The microscopic analysis of honey sediment (mellissopalynology) was carried out to identify and count the pollen to provide qualitative indicators to confirm botanical origin. Statistical analysis was undertaken using a bespoke toolbox for Matlab called Metabolab. Discriminant analysis was undertaken using partial least-squares (PLS) regression followed by linear discriminant analysis (LDA). Four data models were constructed and validated. Model 1 used 51 variables to predict the floral origin of the honey samples. This model was also used to identify the top 5 variable important of projection (VIP) scores, selecting those variables that most significantly affected the PLS-LDA calculation. These data related to the phthalic acid, 2-methylheptanoic acid, raffinose, maltose, and sucrose. Data from these compounds were remodeled using PLS-LDA. Model 2 used only the volatiles data, model 3 the sugars data, and model 4 the amino acids data. The combined data set allowed the floral origin of Turkish honey to be accurately predicted and thus provides a useful tool for authentication purposes. However, using variable selection techniques a smaller subset of analytes have been identified that have the capability of classifying Turkish honey according to floral type with a similar level of accuracy. © 2009 American Chemical Society

Biodegradation of ochratoxin A for food and feed decontamination

Ochratoxin A (OTA) is one of the most important mycotoxins that is found in food and feed products. It has proven toxic properties, being primarily known for its nephrotoxicity and carcinogenicity to certain animal species. OTA is produced by several species of Aspergillus and Penicillium that can be found in a wide variety of agricultural products, which makes the presence of OTA in these products common. Many countries have statutory limits for OTA, and concentrations need to be reduced to as low as technologically possible in food and feed. The most important measures to be taken to control OTA are preventive in order to avoid fungal growth and OTA production. However, these measures are difficult to implement in all cases with the consequence of OTA remaining in agricultural commodities. Remediation processes are often used to eliminate, reduce or avoid the toxic effects of OTA. Biological methods have been considered increasingly as an alternative to physical and chemical treatments. However, examples of practical applications are infrequent. This review will focus on the (i) known microorganisms and enzymes that are able to biodegrade OTA; (ii) mode of action of biodegradation and (iii) current applications. A critical discussion about the technical applicability of these strategies is presented.Luis Abrunhosa was supported by the grant SFRH/BPD/43922/2008 from Fundacao para a Ciencia e Tecnologia-FCT, Portugal. Russell Paterson is grateful for the research position in the FCT framework, Commitment to Science ref. C2008-UMINHO-CEB-2

Risks for public health related to the presence of furan and methylfurans in food

EFSA wishes to thank the hearing experts: Diana Doell and Ruud Woutersen and EFSA staff member: José Cortinas Abrahantes for the support provided to this scientific output. The CONTAM Panel acknowledges all European competent institutions and other stakeholders that provided occurrence data on furan and methylfurans in food, and supported the data collection for the Comprehensive European Food Consumption Database. Adopted: 20 September 2017Peer reviewedPublisher PD