Academic Perspective on the Effects of Childhood Traumas on Dissociative Identity Disorder

It has been proven many times before that there are various connections between childhood and mental illnesses. There are also important connections between childhood and dissociative identity disorder (DID). When we look from the perspective of psychology or human mental health and when it comes to the human factor, that is, holistic health in terms of quality of life, we understand that childhood traumas have a special importance. As a child, a person passes through a tunnel from which he can never return, and in this tunnel, he experiences many things, meets many people, that is, he grows up. While this tunnel is beautiful, fun and colorful for some, it is full of nightmares and trauma for others. In this study, DKB was approached from a broad perspective with different and various topics. There is a gradual process in the treatment of DID and the treatment is focused on psychotherapy. Communication with alters during the DID treatment process is a process that requires sensitivity and professionalism. Sand tray therapy can also be used in communication with alters, especially with child alters. A sand tray on its own is not enough; but it facilitates communication between alters. Sand tray therapy provides non-verbal communication and relaxation with sand (Çınar, Sand Tray Therapy, 2023). Considering dissociative identity disorder only in the presence of sexual abuse and severe physical violence in childhood may cause patients with dissociative identity disorder, which progresses in a milder course, to be overlooked. Sometimes, although the person has a high dissociation capacity, dissociative identity disorder may occur in seemingly minor life events, and a severe DID patient may show low-level symptoms. The important thing is emotional division, which is when the child experiences unwanted experiences and a negative emotion strongly, and the mind responds to this strong emotion with division

The Effect of Leadership Styles on Knowledge Acquisition: A Research on Logistics Firms Operating in Turkey

The importance of knowledge and knowledge acquisition has increased in today’s business environment due to the challenges in keeping up with the pace of change. Knowledge acquisition is widely accepted as a potential source of competitive advantage for firms and it is related to the leadership styles of business managers. Having different leadership styles distinguishes the approaches for knowledge acquisition processes. Regarding this, in this study, we investigated the effects of the senior executives’ leadership styles on knowledge acquisition process in logistics industry. The data collected through a survey from the mid-level managers’ working in the logistics firms operating in Turkey.  Consequently, we found a relationship between change-oriented leadership characteristics and knowledge acquisition activities. Keywords: Leadership styles, relations-oriented behaviours, task-oriented behaviours, change-oriented behaviours, knowledge, acquisition

Implementation of HACCP system in keskul production

Süt ürünleri arasında yer alan sütlü tatlılar gelişen teknoloji, toplumun tüketim alışkanlıklarının değişmesi ve buna bağlı olarak hazır tüketimin yaygınlaşmasıyla sanayide üretilen ve marketlerde yerini alan ticari bir ürün grubu olmuştur. Mikrobiyolojik açıdan riskli ürün grubu olarak bilinen sütlü tatlılar için gıda güvenliğinin sağlanması artan talepler karşısında giderek daha da önem kazanmıştır. HACCP (Hazard Analysis of Critical Control Points); ürününün hammadde temininden başlayıp son tüketiciye ulaşana kadar gerçekleştirilen tüm üretim basamaklarının sistematik olarak izlenmesi, kontrol altında tutulması ve olası tüm tehlikelerin daha gerçekleşmeden tespit edilerek önlenmesini sağlayan uluslararası bir “risk yönetim” sistemidir. Bu çalışmada; Halk sağlığı üzerinde yaşanabilecek olumsuz etkilerin (gıda zehirlenmeleri, salgınlar vb.) elimine edilmesi ve buna bağlı olarak ekonomik kayıpların yaşanmaması için, Keşkül sütlü tatlısı üretiminde HACCP sistemi kurulmuş; pişirme ve metal dedektör proseslerini içeren 2 adet kritik kontrol noktası (KKN) ve 9 adet operasyonel ön gereksinim (oÖGP) tanımlanmıştır.Dairy desserts have become a commercial product group produced in the industry and placed in the markets with the developing technology, the change in the consumption habits of the society and the widespread consumption of ready-made consumption. Ensuring food safety in dairy desserts is becoming important due to they are microbiologically risky product. HACCP (Hazard Analysis of Critical Control Points is an international “risk management” system that enables the systematic monitoring and control of all production steps from the raw material to final product, and to detect and prevent all possible dangers before they occur. In this study; an effective HACCP system has been applied in the production of Keskul dairy dessert, 2 critical control points (KKN) and 9 operational prerequisites (OPRPs), including cooking and metal detector processes were determined in order to eliminate the food safety hazards that may be adversely affecting public health and to reduce economic losses

Electrical Size Reduction of Microstrip Antennas by Using Defected Ground Structures Composed of Complementary Split Ring Resonator

In this study the effects of using defected ground structures (DGS) composed of a complementary split ring resonator (CSRR) and CSRR with dumbbell (CSRR-D) for rectangular microstrip antennas are investigated. On this aim, two different antennas, which are Antenna B having CSRR etched DGS and Antenna C having CSRR-D etched DGS are designed and fabricated in comparison with the ordinary rectangular patch antenna, which is Antenna A. In both Antenna B and C, CSRR structures are etched in the same position of the ground planes. On the other hand, another ordinary microstrip antenna, called Antenna D, is designed at resonance frequency of Antenna C. For the characterization, resonance frequencies, voltage standing wave ratios, percentage bandwidths, gains, ka values and gain radiation patterns are investigated both in simulations and experiments. The numerical analyses show that 29.39 % and 44.49 % electrical size reduction (ESR) ratios are obtained for Antenna B and Antenna C, respectively in comparison to Antenna A. The experimental results verify the ESR ratios with 29.15 % and 44.94 %. Supporting, Antenna C promises 68.12 % physical size reduction (PSR) as it is compared with Antenna D. These results reveal that Antenna C is a good alternative for DGS based microstrip electrically small antennas

Lesion detection on skin images using improved U-net

One of the most prevalent cancers in humans is skin cancer. The deadliest form of skin cancer is malignant melanoma and the incidence rate has increased rapidly in recent years. In the treatment of melanoma, early diagnosis is very critical. It is difficult and time consuming to automatically detect melanoma from images taken from dermoscopy devices. Computer-aided systems are needed, therefore. In this paper, a deep learning-based method for melanoma segmentation and classification with color images taken from dermoscopy devices is proposed. This technique uses ISIC 2017 International Skin Imaging Collaboration. In this paper, for segmentation and classification measures, 1317 skin images taken from the ISIC archive were used. The approach is based on the architecture of Preprocessing, U-Net and VGGNet. Operations such as mean subtraction, image normalization, image cropping, and scaling are implemented in the preprocessing phase. It is intended to make pictures of the skin more convenient before segmentation. The training precision rate and jaccard similarity coefficient reached 93% as a result of segmentation with these results, and the dice coefficient reached 79%. The accuracy rate is 85.5% as a result of the classification in the two-class dataset in the pre-trained VGG16 network. The accuracy rate of dataset classification obtained with cross-validation is 95.86%

Segmentation of Benign and Malign lesions on skin images using U-Net

One of the types of cancer that requires early diagnosis is skin cancer. Melanoma is a deadly type of skin cancer. Computer-aided systems can detect the findings in medical examinations that human perception cannot recognize, and these findings can help the clinicans to make an early diagnosis. Therefore, the need for computer aided systems has increased. In this study, a deep learning-based method that segments melanoma with color images taken from dermoscopy devices is proposed. For this method, ISIC 2017 (International Skin Image Collaboration) database is used. It contains 1403 training and 597 test data. The method is based on preprocessing and U-Net architecture. Gaussian and Difference of Gaussian (DoG) filters are used in the preprocessing stage. It is aimed to make skin images more convenient before U-Net. As a result of the segmentation performed with these data, the education success rate reached 96-95%. A high similarity coefficient obtained. On the other hand, as a result of the training of the preprocessed data, accuracy rate has reached 86-85%

Prevalence and factors related obesity in ındividuals who applied to the family medicine center: the case of Artvin

Amaç: Araştırma, Aile Hekimliği Merkezlerine başvuran bireylerin obezite sıklığı ve ilişkili etmenlerin belirlenmesi amacıyla planlandı. Yöntem: Tanımlayıcı olarak gerçekleştirilen, çalışmanın örneklemini 01-31 Ocak 2011 tarihleri arasında Artvin İli ve İlçeleri Aile Hekimliği Merkezleri’ne tanı ya da tedavi amaçlı başvuran, araştırmaya katılmayı kabul eden, 20 ve üstü yaş, toplam 1929 kişi oluşturmaktadır. Veri toplama aracı olarak literatür taramaları sonucu oluşturulan bireylerin beslenme özelliklerini belirlemeye yönelik soruları da içeren sosyo-demografi k özellikler formu kullanılmıştır. Obezite kriteri olarak “Beden Kitle İndeksi” hesaplaması kullanılmıştır. Verilerin değerlendirilmesinde sayı, ortalama, yüzde, korelasyon, varyans analizi ve t testi kullanıldı. Bulgular: Bulgulara göre %51.1’i kadınlardan oluşan örneklemin %22.8’i obez kategorisine girerken, %36.8’i aşırı kilolu, %34.1’i ise normal beden kitle indeksine (BKİ) sahip bireylerden oluşmaktadır. Kadınların %35’i normal kiloda iken erkeklerde bu oran 34.1’dir. Kadınların %55.3’ü şişman grubuna (hafi f şişman veya obez) girerken erkeklerin %63.9 şişman grubunda yer almaktadır. Örneklemin genelinde ise şişman bireylerin oranı %59.6’dır. Örneklemin yaş ortalaması ve tüketilen ana öğün sayısı ile BKİ arasında pozitif yönde anlamlı ilişki bulundu (p<0.01). Sonuç: Örneklemin yarısından fazlasının hafi f şişman veya obez olduğu, obezitenin erkeklerde kadınlardan daha fazla görüldüğü; ayrıca yaşlı, ev hanımı veya emekli olan bireylerin obezite açısından riskli gruplar olduğu belirlendi.Aim: The study was planned to determine the prevalence of obesity and factors affecting obesity in individuals who applied to the Family Medicine Centers. Method: A total of 1929 subjects, aged 20 and olde r, who applied to Family Medicine Centers in Artvin Province and Districts in the period January 2011 for diagnostic or therapeutic purposes and who agreed to participate in this descriptive study consitituted the sample population. Results: Women constituted 51.1%‘s of the sampling. 22.8%of the subjects were categorizied as obese, and 36.8% as overweight, while 34.1% displayed normal body mass index (BMI). In comparison of women and men , respectively, 35% and 34.1% were considered in normal weight ranges, whereas 55.3% and 63.9% were included in the obese group (mild overweight or obese). Generally, the ratio of the obese subjects was 59.6% across the sample group. The average age of the subjects and the number of main meals during the day were found positively correlated with BMI (p <0.01). Conclusion: Slightly more than half of the sample group was overweight or obese, obesity was more common among men compared to women, and elderly people, especially housewives or retired ones were determined at hi gher risk for obesit

Temperature Effects Explain Continental Scale Distribution of Cyanobacterial Toxins

Insight into how environmental change determines the production and distribution of cyanobacterial toxins is necessary for risk assessment. Management guidelines currently focus on hepatotoxins (microcystins). Increasing attention is given to other classes, such as neurotoxins (e.g., anatoxin-a) and cytotoxins (e.g., cylindrospermopsin) due to their potency. Most studies examine the relationship between individual toxin variants and environmental factors, such as nutrients, temperature and light. In summer 2015, we collected samples across Europe to investigate the effect of nutrient and temperature gradients on the variability of toxin production at a continental scale. Direct and indirect effects of temperature were the main drivers of the spatial distribution in the toxins produced by the cyanobacterial community, the toxin concentrations and toxin quota. Generalized linear models showed that a Toxin Diversity Index (TDI) increased with latitude, while it decreased with water stability. Increases in TDI were explained through a significant increase in toxin variants such as MC-YR, anatoxin and cylindrospermopsin, accompanied by a decreasing presence of MC-LR. While global warming continues, the direct and indirect effects of increased lake temperatures will drive changes in the distribution of cyanobacterial toxins in Europe, potentially promoting selection of a few highly toxic species or strains.Peer reviewe

A study on the curriculum design for the organization and the teaching of the subject changes in matter and energy at science course in primary education

Bu çalışmada, İlköğretim sekizinci sınıf Maddedeki Değişim ve Enerji ünitesi ile ilgili araştırmacı tarafından geliştirilen öğretim programı ile 2000 yılı Fen Bilgisi programında yer alan aynı ünitenin Milli Eğitim Bakanlığının belirlediği ünite hedef davranışlarına ulaşılabilirliği kapsamında bir karşılaştırma yapılmıştır. Bu çalışmada tarama ve deneme modeli (ön test ve son test) birlikte kullanılmıştır. Çalışmada ilk olarak, Bursa’da görev yapan 100 öğretmene Maddedeki Değişim ve Enerji ünitesi ile ilgili Öğretmen Görüş Anketi uygulanmıştır. İkinci olarak, öğrencilere Seviye Belirleme Anketi, Fen Bilgisi Tutum Ölçeği ve Çoklu Zeka Alanlarını Belirleme Anketi uygulanmıştır. Seviyeleri aynı olan sınıfların kendi aralarında deney ve kontrol grupları oluşturulmuştur. Araştırmacı tarafından hazırlanan el kitabı, öğrenci rehberi ve öğretmen rehberinden oluşan öğretim programı 44 öğrencinin oluşturduğu 2 ayrı sınıftaki deney gruplarına, mevcut program ise kontrol gruplarına uygulanmıştır. Deney ve kontrol gruplarından birine öğretim programını okulun Fen Bilgisi öğretmeni diğerine ise araştırmacı sunmuştur. Çalışmanın sonunda ise her iki gruba Kazanımları Belirleme Anketi Soruları uygulanmıştır. Veri analizinde SPSS 1beşinci00 istatistik programı ile Tek Yönlü Varyans Analizi, Scheffe Testi ve t-Testi yapılmıştır. Bu çalışmanın başında yapılan öğrenci seviye belirleme testinde öğrenciler arasında anlamlı bir farklılık olduğu tespit edilmiş; kontrol ve deney grupları seviye sonuçlara göre belirlenmişti. Çalışma sonunda ise araştırmacı tarafından hazırlanan öğretim programının uygulandığı deney gruplarının mevcut programın uygulandığı kontrol gruplarına oranla daha başarılı olduğu tespit edilmiştir. Bu çalışmada araştırmacı tarafından önerilen yeni ders programının öğrenci kazanımları üzerindeki olumlu etkilerine dayanarak, mevcut Milli Eğitim Bakanlığı programında daha fazla görsel materyal, oyun, bulmaca, kavram haritası, bilgisayar ortamında hazırlanan örnekler, benzetim yöntemleri ve öğrenci aktivitelerine yer verilmesi gerektiğini söyleyebiliriz.In this study, the current curriculum of the "Changes in Matter and Energy" unit in the science course of the eight grade in primary school education and the curriculum developed by the researcher for the same unit were compared in terms of the accessibility of the target behaviours declared by Ministry of National Education in year 2000 science education program. In this study, A survey and experimental model (pre-test and posttest) have been used. Firstly, a Teacher Opinion Survey related with the unit in the current curriculum was applied to 100 primary education science teachers who work in Bursa city. Second, the Proficiency Level test, Science Attitudes Scale and Multiple Intelligence Field Determination Scale tests were applied to the students. From the results of tests, it is inferred that 4 classes, each consists of 88 students. The classes that have same levels are paired to make experiment and control groups. Then, the Unit manual, Students Book and Teachers Book written by the researcher were applied on the experiment groups, consist of 44 students, in two different classes. The current curriculum was applied on control groups. One of the experiment groups and control groups are taught by the science teacher of the school to another experiment group. The rest are taught by the researcher. At the end of the study the Achievement Determination Survey Questions were applied to both experiment and control groups. In the data analysis, One way Analysis of Variances, Scheffe Test and t Test calculations were done by SPSS 1beşinci00 statistics software. As a result of Proficiency Level Test applied in the beginning of the study, there was a significant difference between students. Thus, the experiment and control groups were chosen considering their Proficiency Level Test results. At the end of the study, it was seen that the levels of achievement of the experiment groups which were applied to the researchers program were higher than the control groups. Consequently, it was found that there should be more activities, visual materials, games, puzzles, concept maps, and analogies in the curriculum

Derin sinir ağı kullanılarak deri görüntülerinin melanom ve non-melanom açısından sınıflandırılması

Melanoma is the most common type of skin cancer. At first, for the diagnosis of melanoma, clinical screening is performed and then diagnosis is made by clinical imaging. It is followed up by dermoscopic analysis, biopsy and histopathological examination. Early diagnosis is important in the treatment of melanoma. Automatic recognition of melanoma from dermoscopy images is a difficult task. Therefore, computer aided systems are recommended to reduce time ,cost and accuracy diagnosis. In this paper, a deep learning-based system is used to classify melanoma in color images taken from dermoscopy devices. With this system, differentiation from previous studies can be done with good accuracy without segmentation step and feature extraction. This system provides a significant advantage in hardware implementation. Because there are no preprocessing and segmentation steps. The International Skin Imaging Collaboration database for the designed system is used and includes 1483 training, 517 test data(ISIC). As a result of the classification of these data, the success rate is reached 86-85%