Universidad Internacional del Ecuador
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Microsatellite-based genetic characterisation of honeybee populations from Bingöl
No full textThe conservation of endemic genetic resources is crucial for maintaining genetic diversity in animal production, particularly in honeybees, where preserving local adaptations is challenging. Türkiye’s rich flora, supported by diverse climates, fosters various honeybee races and ecotypes. Bingöl province, situated at the intersection of three phytogeographic regions, is a biodiversity hotspot and a key beekeeping center. Genetic characterization of 141 worker bees from five Bingöl locations, using 30 microsatellite loci, revealed 6.77% genetic variation among locations, 65.69% among individuals, and 27.54% overall. The population exhibited signs of a genetic bottleneck and deviated from Hardy-Weinberg equilibrium. Phylogenetic analysis distinguished the Bingöl honeybee population from other Turkish populations, representing five different honeybee genotypes: Muğla (Apis mellifera anatolica), Hatay (Apis mellifera syriaca), Kırklareli (Apis mellifera carnica), Artvin (Apis mellifera caucasica), and Düzce (Apis mellifera anatolica, Yığılca ecotype), revealing 18 specific alleles that may indicate local genetic distinctiveness
Deep learning based building change detection by integrating building footprint data to pre and post-earthquake VHR satellite images from February 6, 2023, Kahramanmaraş earthquake: a case study for Hatay-Antakya
No full textEarthquakes are one of the natural disasters that are common in the world and profoundly influence human life. On 6 February 2023, eleven provinces in T & uuml;rkiye were most affected by two major earthquakes, the Mw 7.7 event in Pazarc & imath;k (Kahramanmara & scedil;) and the Mw 7.6 event in Elbistan (Kahramanmara & scedil;). Over 50,000 lives were lost, and more than 84,000 buildings were damaged due to the earthquakes. An efficient post-disaster intervention necessitates the interpretation of information from various data sources. Satellite images are among these sources, offering detailed insights into the region impacted by the earthquake before and after the event. Despite the extensive detail in satellite images making human interpretation challenging, deep learning architectures have been developed to address this issue. These advanced models utilize sophisticated computer vision techniques for the semantic segmentation of satellite imagery. However, training these models requires a time-consuming process due to the need for labelled images. This study tackled the issue of scarce labelled data in deep learning by using open-source building footprint data as training labels and conducted change detection between pre- and post-earthquake building conditions. The study focused on the city centre of Antakya (Hatay), which was heavily impacted by the Kahramanmara & scedil; earthquakes. Three different deep learning architectures, SegNet, PSPNet, and ResUNet, known for their effectiveness in semantic segmentation, were employed. Among the models evaluated on pre-earthquake images, ResUNet achieved the highest F1-score average at 92.27%, while SegNet and PSPNet followed with similar scores of 90.47% and 90.26%, respectively
İLKOKUL ÖĞRENCİLERİNE YÖNELİK KENDİNİ KABUL TEMELLİ PSİKOEĞİTİM PROGRAMININ ÖĞRENCİLERİN ZORBALIK MAĞDURİYETİ DÜZEYLERİNE ETKİSİNİN İNCELENMESİ
No full textBu araştırmanın amacı ilkokul öğrencilerine yönelik kendini kabul temelli psikoeğitimprogramının öğrencilerin zorbalık mağduriyeti düzeyleri üzerindeki etkisini incelemektir.Çalışma grubu kolay ulaşılan amaca yönelik örneklem yoluyla belirlenen Hatay İli Reyhanlıİlçesi Yenişehir İlkokulunda farklı şubelere devam eden ilkokul dördüncü sınıf öğrencilerindenoluşmaktadır. Çalışmada 3x3’lük split-plot faktöriyel (karışık) yarı deneysel desen tercihedilmiştir. Bu desende ilk faktör, deney, kontrol ve plasebo grubunu, ikinci faktör ise tekrarlıölçümleri (ön test, son test ve izleme ölçümü) ifade etmektedir. Öncelikle 32 öğrenciye dahiletme ölçütü olarak Zorbalık Mağduriyeti Ölçeği ve Çocuklar İçin Kendini Tanımlama Ölçeğiuygulanmış, dışlama ölçütü olarak ise sınıf öğretmeni görüşlerine başvurulmuştur. Deney,kontrol ve plasebo grubuna ise öncelikle uygulanan ölçeklerin sonucuna göre Cluster Analiziyapılarak karar verilmiştir. Daha sonra grupları eşitliğini belirlemek için Tek Yönlü AnovaAnalizi yapılmıştır. Buna göre gönüllüğe ve ailelerinin yazılı iznine göre 8 öğrenci deney, 8öğrenci kontrol ve 8 öğrenci ise plasebo grubuna eşit olarak dahil edilmiştir. Çalışma sürecindedeney grubuna 8 oturumluk kendini kabul temelli psikoeğitim uygulanmakta olup, plasebogrubuna konudan bağımsız geleneksel oyunlar oynatılırken kontrol grubuna ise hiçbir işlemyapılmamaktadır. Elde edilen verilerin analizinde normal dağılım için Shapiro Wilks,varyansların homojenliği için Levene Testi, grupların ön test, son test ve izleme testindekifarklılıkları için Bağımlı Gruplar T Testi, Tekrarlı Ölçümler için İki Yönlü Anova ve muhtemeloluşacak farkın kaynağına yönelik ise Tukey Testleri kullanılacaktır. Elde edilen veriler, dahaönceki yapılmış ilgili çalışmalara ve literatüre göre tartışılıp, yorumlanacaktır ve önerilerdebulunulacaktır.</p
Tavuk dışkılarından ve et örneklerinden izole edilen tet(X4) pozitif Escherichia coli izolatlarının tam genom analizi
No full textInvestigating flexibility in women with primary Dysmenorrhea: Case-Control study
No full textBackground: Stretching exercises have positive effects on pain and symptoms in women with primary dysmenorrhea (PD). However, flexibility has not been investigated in women with PD. Objective: This study aimed to investigate flexibility in women with and without PD. Materials and methods: The study included women with (PD group, n = 43) and without PD (control group, n = 42). Physical, demographic and menstrual cycle characteristics were recorded. The intensity of menstrual pain was assessed with the Visual Analog Scale. Flexibility of lumbar extensors, trunk flexors, trunk lateral flexors, hamstrings, quadriceps femoris, hip adductors, gastrocnemius, shoulder girdle and cervical region muscles, and range of motion of temporomandibular joint (TMJ) were measured with clinical tests using a tape and a goniometer. Results: The intensity of menstrual pain of women in the PD group was 7.67 +/- 1.70 cm. Flexibility of lumbar extensors, trunk flexors, hamstrings, hip adductors and quadriceps femoris muscles was found to be lower in the PD group than in the control group (p 0.05). The effect sizes were small to large for both groups. Conclusion: It was determined that the flexibility of the lumbar extensors, trunk flexors, hamstrings, quadriceps femoris, and hip adductors was lower in the PD group compared to the control group. Accordingly, it may be important to consider flexibility in the evaluation and treatment of women with PD
