Hakkari Üniversitesi Akademik Veri Yönetim Sistemi
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Öğretmen Adaylarının Akademik Okuryazarlık ve Akademik İsteklilik Düzeylerinin İncelenmesi
Açık Alan Rekreatif Etkinliklere Katılan Bireylerin Rekreasyon Deneyim Tercihlerinin İncelenmesi
Gig Ekonomisinde Motorlu Kuryelerin Girişimci Kişilik Özellikleri
İnsanların yaşamları boyunca karşılaştıkları olum ya da olumsuz durumlar, yaşamlarını devam ettirmeleri için karşılaştıkları bu her türden duruma uyum sağlamalarını gerektirmektedir. Yaşanan her gelişme yeni yaşam şekillerinin oluşmasına katkı sağlar. Bu çalışma, dünyayı etkisi altına alan Covid-19 pandemisi ile ivme kazanan ve popülerliğini devam ettirerek gelişen gig ekonomisi ile ilgilidir. Gig ekonomisi kapsamı oldukça geniş bir ekonomik sistemi temsil etmekle birlikte, bazı mesleklerde doğrudan müşteri ile iletişim söz konusuyken, bazı meslek gruplarında online çalışma ile iş sonlandırılabilmektedir. Fakat yapılan işin özünde herhangi bir işverene bağlı olmak yerine bireysel girişimcilik sözkonusudur. Bu çalışmanın amacı da gig ekonomisinde faaliyet gösteren motorlu kuryelerin girişimci kişilik özelliklerini saptamaktır. Bu amaç doğrultusunda veriler çevrimiçi anket yöntemiyle toplanmıştır. Çalışmada İşcan ve Kaygın (2011) tarafından geliştirilen “girişimcilik eğilimleri” ölçeğinden faydalanılmıştır. Bu kapsamda 155 motorlu kuryeden elde edilen veriler, SPSS 26 nicel analiz programında analiz edilmiştir. Sözkonusu analiz programında demografik özelliklerin frekans dağılımları yapılmış olup, özellikle katılımcıların “yaş dağılımları” ile “mesleki süreleri” arasındaki ilişki Crosstabs yöntemi ile ortaya konulmuştur. Buradan hareketle girişimcilik kişilik özelliklerine dâhil olan değişkenler ise yine demografik değişkenler ile ANOVA yöntemiyle karşılaştırmaya tabi tutulmuştur. Araştırma sonucunda araştırmaya katılan motorlu kuryelerin genel anlamda girişimci kişilik özelliklerine sahip oldukları anlaşılmakta olup bu özellikler içerisinde yer alan “kendine güven”, “belirsizlik toleransı” ve “risk alma” seviyelerinde farklılıklar olduğu görülmüştür.The positive or negative situations that humans encounter throughout their life require them to adapt to all kinds of situations they encounter in order to continue their life. Every development contributes to the formation of new ways of life. This study is about the gig economy, which has gained momentum with the Covid-19 pandemic that has affected the world and continues to develop by continuing its popularity. Although the gig economy represents a very broad economic system, in some professions there is direct communication with the customer, while in some professional groups the job can be completed by working online. However, the essence of the work is individual entrepreneurship rather than being contracted to any employer. The aim of this study is to determine the entrepreneurial personality characteristics of motor couriers operating in the gig economy. For this purpose, data were collected by online survey method. The "entrepreneurship tendencies" scale developed by İşcan and Kaygın (2011) was used in the study. In this context, the data obtained from 155 motor couriers were analyzed in the SPSS 26 quantitative analysis program. In the analysis program in question, frequency distributions of demographic variables were made, and especially the relationship between the "age distributions" and "professional durations" of the participants were calculated by the Crosstabs method. Based on this, the variables included in the entrepreneurial personality traits were compared with demographic variables using the ANOVA method. As a result of the research, it was understood that the motor couriers who participated in the research generally had entrepreneurial personality traits, and it was observed that there were differences in the levels of "self confidence", "tolerance of ambiguity" and "propensity to take risk" among these traits
ÖZEL YETENEKLİ ÇOCUĞA SAHİP EBEVEYNLERİN TEKNOLOJİKULLANIMINA İLİŞKİN TUTUMLARININ BELİRLENMESİ
Determination of Operator Potential Risk Level from Pesticide Applications in Hazelnut Orchards
Hazelnuts are grown throughout the Black Sea, where the soil is not suitable for other crops, and on sharply sloping soils. Pesticides are used periodically, except for a few months of the year, against diseases and pests encountered during hazelnut production. Mechanical back sprayers and hydraulic sprayers with high pressure operated spray guns are widely used in spraying. The studies were designed to determine the risk level that may occur during pesticide applications by measuring the amount of pesticide reaching the operator and assistant in the struggle against diseases, pests, and weeds with two different sprayers (mechanical and spray gun), which are widely used for pesticide applications in hazelnut production areas in Ordu province. In the study, in order to determine the dermal exposure level, the operator and his assistant were dressed in protective overalls, and filter papers were attached to different parts of the body on the overalls. After spraying, the amount of residue on the filter papers was measured with a spectrophotometer in the laboratory, and the pesticide exposure levels of the selected target surfaces were determined. In the applications of the garden sprayer and back sprayer, 67– 41% of the lower part of the body and 34–59% of the upper part of the body were contaminated for the operator, respectively. These rates were 50–46% of PDM in the lower part of the body and 50–54% in the upper part of the operator’s assistant
Where do sea turtles forage in the Mediterranean sea? Filling the gaps for a regional assessment of migration routes
Sea turtles are highly migratory species that can travel vast distances between their feeding and breeding sites. Considering the vulnerability and conservation concern of most sea turtle species, it is essential to establish connections between foraging and nesting areas to link threats at seas with the affected populations. Previous studies analyzed the population of origin for loggerhead turtles (Caretta caretta) in most known Mediterranean foraging areas, while knowledge on green turtles (Chelonia mydas) foraging areas is much scarcer. In this context, Kuşadası Bay, an important foraging zone located in the Aegean Sea, is inhabited by the two species all year round, although their population composition is unknown. Here, we evaluated the populations of origin of turtles foraging in Kuşadası Bay from 2017 to 2021 to perform a regional assessment of the migratory routes of both species. We genotyped 31 green turtles, using four mitochondrial DNA (mtDNA) short tandem repeats (STRs), and 61 loggerhead turtles, using a segment of the mtDNA D-loop (control region). The mixed-stock analysis (MSA) revealed that turtles from Kuşadası Bay come mainly from Turkish nesting populations, with the loggerheads mostly from western beaches and green turtles from easternmost beaches. By integrating all previously published studies of Mediterranean foraging grounds, we delineate the main foraging routes of both species in the Mediterranean that were consistent with prevailing currents. However, significant differences were generally found when comparing the foraging grounds observed composition with those predicted by particle modeling, indicating that juvenile and adult turtles may combine passive drifting with active swimming during their migrations in most of the foraging areas. This study highlights the importance of using genetic tools to identify the origin of sea turtles and to gather information from a wide geographic scale to refine the knowledge of the main foraging migration routes in Mediterranean Sea turtles at regional level