Central Anatolia Region Research Articles

A biogeochemical approach to examining sub-adult diet and the weaning process at Neolithic Tepecik-Çiftlik, Türkiye

Tepecik-Çiftlik, a Neolithic settlement located in the Cappadocia region of Central Anatolia, within the boundaries of Niğde province in modern Türkiye is crucial for helping us to better understand social behaviour and human mobility in the Neolithic, as well as relations between different groups. To investigate dietary habits, subsistence practices, and intra-societal variations stable carbon and nitrogen isotope ratio analysis has been conducted on the Neolithic human and faunal population. Further to this, 21 sub-adults were also sampled for stable carbon and nitrogen isotope ratio analysis to examine sub-adult diet, complementary feeding, and the cessation of breastfeeding as part of the weaning process. This isotopic investigation into the weaning process is complemented by a previously conducted study using Sr/Ca ratios from bone apatite of the same population. The δ13C values of the sampled sub-adults range from −19.8 ‰ to −19.0 ‰ and the δ15N values range from 8.0 ‰ to 15.2 ‰. The isotopic data suggest a very early onset of complementary feeding (ca. 0.2 years of age) and a brief breastfeeding period, relative to other prehistoric populations. The cessation of breastfeeding and this very brief weaning process was likely completed by ca. 1–1.5 years old. This early commencement of complementary feeding was most probably a deliberate social and cultural choice, supported by the presence of bowls and feeding spoons in the graves of very young babies and infants. However, this cultural choice may also have affected the mortality profile of the Neolithic population.

An ethnobotanical study of medicinal and wild food plants in Kırşehir (Türkiye)

This study compiles information regarding the use of certain plants found in Kırşehir and its surrounding regions in the Central Anatolia Region in folk medicine and other ethnobotanical characteristics. A total of 180 people participated in this study. Face-to-face interviews were conducted with the participants. As a result of the study, demographic characteristics of the participants, types of medicinal plant used by the people of the region, preparation techniques, usage patterns and frequency were determined. Local people benefit from 80 plants belonging to 28 families. The most commonly encountered medicinal plant family was Asteraceae (22 taxa). Twenty-two disease categories were identified in which traditional medicinal plants were used. Local people frequently use medicinal plants for the treatment of various diseases. These include dermatologic ailments (ICF 0.87), hematology issues (ICF 0.98), high cholesterol (ICF 0.98), gastrointestinal problems (ICF 0.88). Medicinal plants are also employed for treating cancer (ICF 0.95), hand tremors (ICF 1.00), cataracts (ICF 1.00), and gonorrhea (ICF 1.00), and kidney stones (ICF 1.00). The highest UV was found for Mentha arvensis and M. pulegium. This research is important in terms of transferring traditional knowledge to future generations. Moreover, the findings obtained should be investigated in fields such as pharmacology and phytotherapy.

An Ethnobotanical Study in Kırşehir (Türkiye).

A comprehensive ethnobotanical study was carried out in the province of Kırsehir, in the Central Anatolia region. The result of that study is this publication containing information about the main traditional folk medicine, wild food plants, and other plant uses in the area. Our goal was to collect, identify, and provide information about plants traditionally used by the local population. This inquiry focused on the plant specimens obtained during field work. Data were gathered through open and semi-structured interviews conducted with local individuals, and use report (UR) values were computed. A total of 79 taxa of plants used in folk medicine, belonging to 33 families, were identified in this study. Of these, 67 taxa were wild and 12 were cultivated. The most common families were Asteraceae, Lamiaceae, and Rosaceae. Based on the results of this study, 77 taxa with ethnobotanical uses were recorded. The plants were used as folk medicine (45 taxa), as food (46 taxa), and for other purposes (34 taxa). This study determined that plants are still traditionally used in the region.

Alterations in the Antimicrobial Resistance Profile of Acinetobacter baumannii Strains Isolated from Intensive Care Unit Patients: Five-Year Follow-up in Cappadocia

Background: This study aims to determine alterations in the antibiotic resistance status of Acinetobacter baumannii strains isolated from lower respiratory tract samples of patients in intensive care units over the years. Methods: In this comprehensive study, A. baumannii strains isolated from aspirate and sputum samples of patients hospitalized in intensive care units of a second-stage state hospital between January 2018 and December 2022 were meticulously and retrospectively investigated and analyzed for antimicrobial resistance. Results: The rate of aspirate and sputum samples in the study was 18.1% (754/4151); The positivity rate of cultures was 51.7% (390/754); The rate of those associated with A. baumannii was found to be 65.6% (256/390).. 90.2% of the isolates were isolated from the general intensive care unit (231/256). The rates of A. baumannii isolated from aspirate and sputum samples were 67.4% (213/316) and 58.1% (43/74), respectively. The carbapenem resistance rate in A. baumannii isolates grown in aspirate samples was 96.5%, fluoroquinolone resistance was 91.7%; The carbapenem resistance rate in sputum samples was 96.1% and fluoroquinolone resistance was 90.9%. The most effective antibiotics against A. baumannii strains isolated from both aspirate and sputum samples were colistin 100% (n=256), TMP/SXT 55.8% (143/256), tigecycline 50.3% (129/256), respectively. Conclusion: Our study reveals a concerning trend-a high frequency of multidrug-resistant A. baumannii isolates are being identified in the Central Anatolia region of our country. This high prevalence, which is a cause for immediate concern, underscores the urgent and immediate need for robust infection control measures to curb the spread of A. baumannii in hospitals.

The effect of superstitions during pregnancy on quality of life and pregnancy adjustment.

This study was planned to determine the effect of superstitions during pregnancy on quality of life and pregnancy adjustment. A descriptive and correlational design was employed. Data were collected from all pregnant women who accepted to participate in the study and lived in the Central Anatolia Region in Türkiye between December 2022 and May 2023 (a single region was targeted due to the possibility of cultural diversity between regions). Data collection tools were a Descriptive Information Form, the Prenatal Self-Evaluation Questionnaire, the Superstitious Belief Scale (SBS), and the SF-36 Quality of Life Scale. Descriptive, comparative, and multiple regression analyses were performed. The mean age of the participants was 27.78 ± 5.09. The mean score of the pregnant women was 32.73 ± 11.18 on the total SBS, 155.80 ± 29.37 on the total Prenatal Self-Evaluation Questionnaire, and 59.27 ± 22.02 on the total SF-36 Quality of Life Scale. A relationship was observed between superstition and pregnancy adjustment and quality of life. The findings of this study showed that as the superstition level of pregnant women increased, their incompatibility with pregnancy increased and quality of life decreased. Midwives and other health personnel should be informed and made aware of superstitions and practices that affect maternal and child health and women should be educated about harmful superstitious practices in the prenatal period.

Trends and socio-demographic determinants of suicide-related mortality in Türkiye: An epidemiological study from 2009 to 2022.

Suicide is a leading cause of death, particularly among the young age group, in Türkiye, a country with a high population of young people. The aim of this study is determine the suicide related mortality trend and some associated socio-demographic factors in Türkiye between 2009 and 2022. The study includes an epidemiological trend on suicide. The Turkish Statistical Institute's data portal was used. The study population is 46,691 people (Male/female ratios = 74.6%/ 25.4%). Changes in mortality trends were evaluated using the Joinpoint Regression method with Annual Percentage Change (APC) and Average Percentage Change (AAPC) analysis. Over the past 14 years in Türkiye, there has been a statistically significant increase in the standardized mortality rate among males (2009-2022 APC = .76, p = .012) and a statistically non-significant decrease among females (2009-2022 APC = -1.62, p = .083). According to the Nomenclature of Territorial Units for Statistics (NUTS-1) classification, the highest increase is observed in the Central Anatolia region followed by the Western Black Sea region (APC = 3.0 and 2.7, respectively; p < .005). While the percentage of primary school and below has decreasing trends (2009-2022 APC = -7.11, p < .005), there is a significant increase in the percentage of university graduates (2009-2016 APC = 10.87, p < .001). Regarding the marital status, there is a significant decrease in the percentage of those who are married (2009-2013 APC = -3.36, p < .001; 2013-2016 APC = 2.42, p = .037; 2016-2022 APC = -2.31, p = .003) and a significant increase in those who have never been married (2009-2013 APC = 2.63, p < .001; 2013-2016 APC = -1.36, p = .002). Although suicide related mortality is below the global average, there has been an increasing trend in turkey in the last 14 years. Analytical and intervention studies on the socio-demographic determinants supporting the increasing trend are needed.

Chat GPT and Creative Writing: Experiences of Master's Students in Enhancing

Improving writing skills at all levels of education is a fundamental goal of education. ChatGPT, as an artificial intelligence-based language model, is recognized as a significant tool in the development of this skill. The primary objective of this research is to describe the impact of ChatGPT on the creative writing processes, as perceived by master's students. In line with this goal, the research utilizes the semi-structured interview technique as part of qualitative data collection methods. The study group comprises master's students enrolled in a teacher training program at a state university in the Central Anatolia Region during the 2022-2023 academic year. The study group is formed through purposive sampling. Data related to the research are obtained through a semi-structured interview form developed by the researcher. The collected data are analyzed using content analysis, a method frequently employed in qualitative research. Accordingly, the research findings indicate that ChatGPT is an effective tool in enhancing creative writing skills. It accelerates the writing process for students, provides them with new ideas, and boosts their writing motivation.

Space-time cluster analysis and maximum entropy modeling of Peste des petits ruminants (PPR) in Türkiye.

Peste des petits ruminants (PPR) is an economically important highly serious transboundary disease that mainly occurs in small ruminants such as sheep and goats. The aim of this study was to identify the probability of risk and and space-time clusters of Peste des Petits Ruminants (PPR) in Türkiye. The occurrence of PPR in Türkiye from 2017 to 2019 was investigated in this study using spatial analysis based on geographic information system (GIS). Between these dates, it was determined that 337 outbreaks and 18,467 cases. The highest number of outbreaks were detected in the Central Anatolia region. It was determined that PPR is seen more intensely in sheep compared to goats in Türkiye. In this study, 34 environmental variables (19 bioclimatic, 12 precipitation, altitude and small livestock density variables) were used to explore the environmental influences on PPR outbreak by maximum entropy modeling (Maxent). The clusters of PPR in Türkiye were identified using the retrospective space-time scan data that were computed using the space-time permutation model. A PPR prediction model was created using data on PPR outbreaks combination with environmental variables. Nineteen significant (p < 0.001) space-time clusters were determined. It was discovered that the variables altitude, sheep density, precipitation in june, and average temperature in the warmest season made important contributions to the model and the PPR outbreak may be strongly related with these variables. In this study, PPR in Türkiye has been characterized significantly spatio-temporal and enviromental factors. In this context, the disease pattern and obtained these findings will contribute to policymakers in the prevention and control of the disease.

A New Perspective on Türkiye's Sheep Population: Classification with Decision Trees

Decision trees are data mining algorithms that make interpreting the cause-effect relationship or classification between features with visual diagrams easy and do not require parametric assumptions. The aim of this study is to classify different sheep breeds raised in Turkey according to their origin and tail structure characteristics using a decision tree algorithm. It has been seen that the CART (Classification and Regression Trees) algorithm is sufficient for the classification of sheep breeds by obtaining low-risk values. According to the results of the study, it is seen that domestic sheep breeds are distributed to Eastern Anatolia, Mediterranean, Black Sea, and Central Anatolia Regions and imported breeds are distributed to all regions of Türkiye. The total population of these breeds was determined as 43.889.918 heads. As it can be understood, the Akkaraman breed ranks first with a rate of 40.88% of the total sheep stock. Next comes the Morkaraman breed with a rate of 11.68%. Thirdly, the most cultivated breed is Kıvırcık, whose rate is 8.82%. Merino sheep comes in fourth place with 8.43%. Awassi sheep are among the most common breeds in the fifth place. Hereby the distribution of sheep breeds in Türkiye has also been revealed and the distribution of breeds according to environmental conditions has been determined. The decision tree model generated using the CART algorithm for the distribution of sheep breeds in Turkey based on tail structures has been found to have a value (0.47). The proportion of sheep with a thin tail structure is 52.2%, while those with a semi-fatty tail structure are 17.5%, and those with a fatty tail structure are 30.2%. It has been determined that sheep breeds with thin tails are more commonly raised in Turkey. In the study, a decision tree model was also created using the CART algorithm to analyze the distribution of sheep populations in regions based on their origin, and it was found to have a value (0.26) with an accuracy rate of 74%. According to the research, 73.9% of sheep are domestic, while 26.1% are imported. When examining the distribution of origin by region, the region with the least number of imported sheep is Eastern Anatolia, while the highest proportions are found in the Mediterranean and Black Sea regions. The region with the lowest proportion of domestic sheep is the Mediterranean and Black Sea (70.4%), whereas the highest proportion is in the Eastern Anatolia region (82.6%).

Detection of mutations in the voltage-gated sodium channel gene of Varroa destructor (Acari: Varroidae) populations

The honeybee (Apis mellifera) ectoparasite, Varroa destructor, is one of the most important honeybee pests worldwide. Acaricides, including the pyrethroids (tau-fluvalinate, flumethrin), and organophosphate (coumaphos) have been applied to control this mite within apiaries, still the long-term, constant, and excessive use of these products has led to the development of resistance in many populations. Three different mutations (L925V, L925I, L925M) at position 925 and one mutation (M918L) at 918 position of the V. destructor voltage-gated sodium channel (VGSC) have been associated with the resistance to these compounds. In the present study, we examined the presence of resistance mutations in the VGSC gene, encoding the target of pyrethroids, in the V. destructor population collected from the Kayseri and Sivas provinces of Central Anatolia Region of Türkiye. A total of 200 V. destructor samples were collected from 20 apiaries in two provinces throughout 2023. To investigate the mutations in Varroa samples, the domain II region of the VGSC gene was amplified using PCR and sequenced. The nucleotide sequencing of the IIS4-IIS5 linker region of the VGSC gene revealed one amino acid change at position 925: a leucine to isoleucine substitution (L925I). No mutations at other positions were identified. Homozygous resistant alleles were detected in 20 (40 %) of the sequenced 50 samples in the study areas. However, we detected the homozygous sensitive allele (wild-type allele, L925) in the remaining samples (50/30, 60 %). The result shows that this status may indicate a problem for Varroa control in the future. Thus, alternative acaricide with a mode of action of different pyrethroids should be considered in the control of V. destructor populations in these provinces.

Techno-economic and environmental analysis of biogas-based hybrid renewable energy systems: A case study for a small-scale livestock farm

Biogas technology offers a significant benefit in enabling energy generation from distributed sources of biomass through its easy scalability. This study aimed to conduct the technical, economic, and environmental analysis of biogas-based hybrid renewable energy systems in a small-scale livestock farm located in the rural area of the Central Anatolia region in Türkiye. The HOMER software was used to analyze a total of five scenarios. These scenarios are hybrid combinations of a biogas generator, PV panels and wind turbines. The hybrid scenarios were evaluated by comparing them to each other and to the base scenario, which only has a grid connection. The optimal system has been determined to be the grid-connected Biogas/PV panel hybrid configuration, with an energy cost of 0.0688 $/kWh and a net present cost of $70,777. The optimal system has a renewable fraction of 89.9 % and a CO2 emissions mitigation potential of 13,066 kg/year compared to the base scenario. Furthermore, sensitivity analysis for various input parameters such as grid sellback rate, interest rate and load demand was performed to assess the impact of changes in these parameters on the system. Sensitivity analysis results show that increased grid sellback rates can significantly enhance financial metrics and reduce the payback period from 13.13 years to 6.63 years.

Intraplate active deformation: Lake Salt fault zone and source of the Obruk (Bor-Niğde) earthquakes, Cappadocia-central Anatolia, Türkiye

Intraplate strike slip deformation structures play a crucial role in understanding how the earthquake are triggered, and respond to long-term deformation in plate interiors. One of the examples for intraplate structure is the Lake Salt Fault Zone (LSFZ) in Türkiye, located at the Central Anatolia region which has hosted a few moderate magnitude earthquakes. The LSFZ extends in NW-SE direction along the eastern border of the Lake Salt basin. In the western and central sections, it exhibits a rather linear trace, and it marks the west-northwestern boundary of the Cappadocian plateau. Along its strike, two big cities, namely, Aksaray and Niğde, and some significant eruption centers (the Hasan, Keçibuyduran and Melendiz Mountain stratovolcanoes) are located, and there is a 12 km right lateral offset. LSFZ has four main segments, namely, Karacaören, Keçikalesi, Obruk and Büyükkaraoğlan fault segments, and they have hosted two moderate-sized (Mw = 5.1 to 5.2) earthquakes (on September 20, 2020 and February 25, 2023) at the localities approximately 5 km ENE and SSW of Obruk Town (Niğde). Their focal mechanisms revealed that the LSFZ exhibits dominantly dextral strike-slip faulting with normal component. The vertical and horizontal displacement rates along the LSFZ are 0.14 mm/yr and 4.6 mm/yr, respectively. The recurrence interval of earthquakes of Mw ≥ 6.7 on the LSFZ is more than one thousand years, owing to the low slip rate. We propose that the LSFZ is in a seismic gap having potential to host a large earthquake.

The Effect of Parents' Nutrition Literacy on Children's Oral-Health-Related Quality of Life.

Parents can help children adopt good eating habits early in childhood by encouraging them to eat healthy. While parents' levels of nutritional literacy is known to play a role in children's healthy nutrition, healthy food is also essential in improving oral-health-related quality of life (OHRQoL). Since the effect of parents' nutritional literacy on children's OHRQoL is not yet known, this study aimed to examine the impact of parental nutritional literacy on children's OHRQoL. This study was conducted with 459 parents of children aged 3-6 living in the Central Anatolia Region of Türkiye. Data collection tools included a sociodemographic form, the Early Childhood Oral Health Impact Scale (ECOHIS) and the Evaluation Instrument of Nutrition Literacy on Adults (EINLA). Data were analyzed in SPSS, using Student's t-test, Chi-square test, and binary logistic regression models. Parents with higher nutritional literacy tend to have higher levels of education. An increase in total nutritional literacy score, especially in the general nutrition knowledge (GNK) and food label and numerical literacy (FLNL) subscales, was associated with higher child OHRQoL. Increasing parents' nutritional literacy levels can contribute to OHRQoL by enabling them to be good role models for their children. Therefore, increasing parents' nutritional literacy can improve OHRQoL by improving children's nutrition and can be considered a protective factor for oral health.

Dependence of Drought Characteristics: Parametric and Non-parametric Copula Approach

Drought, which has harmful impacts both environmentally and economically, is one of the most devastating natural phenomena. In order to better understand and monitor the effects of drought, various methods have been developed in recent decades to quantify drought characteristics, with a primary focus on univariate drought indices. Mainly, drought characteristics are crucial to examine the impacts of drought in-depth on any specific area. This study endeavours to investigate univariate and bivariate drought indices using both parametric and non-parametric copula techniques. For that purpose, drought characteristics, such as duration, severity, mean intensity and peak intensity are analysed relying on different drought indices. The dependence among the main characteristics is evaluated and corresponding bivariate return period calculations are investigated. The data set used in this study is retrieved from monthly meteorological observations collected at five different Stations in Konya, located in the Central Anatolia Region of Turkey. Main numerical findings indicate the importance of using multiple drought indices for different geographical reasons for extreme dry periods.

The Future Possible Distribution of Kasnak Oak (Quercus vulcanica Boiss. &amp; Heldr. ex Kotschy) in Anatolia under Climate Change Scenarios

The deterioration of natural habitats for oak species has steadily occurred as a consequence of both climate change and human pressure. Therefore, detailed and reliable information about the geographic distribution of oak species under changing climate conditions is needed for diverse ecological and conservation practices. This study examined the habitat suitability of endemic Kasnak oak, Quercus vulcanica Boiss. &amp; Heldr. ex Kotschy, an endemic that ranges across the Central Anatolia Region and surrounding mountains in Türkiye. The occurrence data were gathered through fieldwork, and new records were identified. Next, we applied ecological niche modeling to assess the past, present-day, and future potential geographic range of the species in Anatolia. Projections for the Last Glacial Maximum indicate that most of the suitable areas for Kasnak oak were in southern Anatolia. However, present-day estimates suggest projections estimate suitable habitats in northern Anatolia and around the Anatolian Diagonal. According to future projections, the distribution of the species seems to decrease by 2100, with habitat suitability reduction ranging from 3.27% to 7.88%. Projections suggest a decrease in habitat suitability for the species, particularly in the western and southern Türkiye in the future. Moreover, the projections indicated that suitable habitats for the northern range of the species would likely persist until 2100, although they would diminish towards the northeast. The results can be effectively applied to enhance biodiversity conservation planning and management, leading to the development of innovative strategies.

Evaluation of Air Quality (PM10 and SO2) Parameters: Example of Central Anatolia Region

Canlı yaşamını, çevresel dengeyi önemli derecede etkileyen ve küresel iklim değişikliğinin ana nedenlerinden biri olan hava kirliliği günümüzde önemli bir çevre sorunudur. Hava kirliliği etkilerinin dünya çapında seviyelere erişmesiyle birlikte hava kirliliğine sebebiyet veren kaynaklar da daha çok araştırmaya konu edilmektedir. Hızla artan dünya nüfusuyla paralel olarak kaynakların enerji için tüketimi de çoğalmıştır. Nüfus artışı ve sanayi alanının ihtiyaçları sebebiyle hava kirliliği günden güne artmakta ve bütün doğa (canlı ve cansız) bundan olumsuz etki görmektedir. Türkiye’nin havasındaki kirlilik, yüksek seviyede ısınma, sanayi ve ulaşım kaynaklıdır. Bununla birlikte yan etkenlerin de etkisiyle kış döneminde kirliliğin daha da arttığı bilinmektedir. Bu çalışmada İç Anadolu bölgesinde bulunan Niğde, Nevşehir, Konya, Kayseri ve Karaman illeri olmak üzere 5 ilin 2017-2021 yılları arasındaki PM10 ve SO2 konsantrasyonları değerlendirilmiştir. Ölçüm periyodu boyunca elde edilen yıllık PM10 konsantrasyon değerleri 23-88 µg/m3, SO2 konsantrasyon değerleri ise 7-31 µg/m3 aralıklarında değişiklik göstermektedir. Sonuçlar değerlendirildiğinde, beş ilin SO2 değerlerinin sınır değerlerin altında olduğu fakat PM10 değerlerinin sınır değerleri aştığı görülmektedir. PM10 seviyesinin özellikle kış aylarında, hava kirliliğinde ciddi payı olduğu tespit edilmiştir.

Regional variations in psoriatic arthritis: Insights from a nationwide multicenter analysis in Türkiye

Objectives: The study aimed to investigate and compare clinical features, disease activity, and the overall disease burden among psoriatic arthritis (PsA) patients across seven distinct geographic regions in Türkiye. Patients and methods: A multicenter cross-sectional study involving 1,134 PsA patients from 25 referral centers across seven regions was conducted. Demographic and clinical characteristics, comorbidities, joint involvement, extra-articular manifestations, and disease activity measures were evaluated across regions. Results: A total of 1134 PsA patients from seven different geographic regions in Türkiye participated in this study. The highest number of participants was from the Marmara region (n=409), with subsequent representation from Central Anatolia (n=370), Aegean (n=139), Mediterranean (n=60), Black Sea (n=60), Eastern Anatolia (n=60), and Southeastern Anatolia (n=36) regions. There were significant variations in demographic profile, including age, body mass index, age of disease onset, educational status, comorbidities, and family history of both psoriasis and PsA. Clinical features, such as enthesitis, dactylitis, uveitis, and joint involvement, demonstrated significant variation across regions. Additionally, disease activity measures, including pain, patient and physician global assessments, acute phase reactants, disease activity indices, quality of life, and functional status, displayed considerable regional differences. Conclusion: This nationwide study revealed substantial regional diversity in demographic data, clinical characteristics, disease activity, and quality of life among PsA patients in Türkiye. These findings stress the need to customize treatment approaches to address regional needs and to conduct further research to uncover reasons for disparities. It is crucial to enhance region-specific approaches to improve patient care and outcomes for PsA.

Determination of Factors Affecting the Cumin Production Decision of Agricultural Enterprises: The Case of Konya Province

Turkey has vast agricultural lands and diverse climatic conditions, and different plant species can be cultivated. Especially, Konya province, located in the Central Anatolia Region, is an important agricultural centre in Turkey. Konya province, which has a polyculture production pattern, stands out in the production of medicinal and aromatic plants due to its favourable climatic conditions and soil structure. In Turkey, 26.33% of cumin, which is among the medicinal and aromatic plants, is produced in Konya province. This study aims to determine the factors affecting cumin production. For this purpose, 65 cumin producers determined by proportional sampling method were interviewed. The data obtained through these interviews were analysed by using the Analytic Hierarchy Process (AHP) method to determine the weights of the criteria affecting the cumin production decision of the agricultural enterprises. In the process of determining the criteria influencing the cumin production decision, the opinions of subject experts working in universities, public institutions and organizations and producers were taken. Among the criteria determined as yield, price, labour requirement, water requirement, ease of marketing, mechanisation, input costs, cultivation knowledge, soil structure and subsidies, the most important criterion was found to be price with 28.11%. Price criterion is followed by input cost 22.57%, water requirement 12.13%, yield 8.71%, cultivation knowledge 8.43%, subsidies 6.82%, ease of marketing 4.74%, soil structure 3.63%, mechanisation 2.54% and labour requirement 2.25%. It is thought that the solution of the mechanisation problem will make a significant contribution to cumin production as it will reduce the need for labour force.

Comparison of Geological Structures and Satellite-based Tectonic Lineaments in Gülağaç (Aksaray) and its Surroundings

The study area covers the Gülagaç district of Aksaray and its surroundings in the Central Anatolia region of Turkey. The basement of the study area consists of metamorphic rocks belonging to the Paleozoic–Mesozoic-aged Kaman Group. Mesozoic-aged ophiolites overlie these rocks, and both are cut by Late Cretaceous-aged igneous rocks. These units were then overlain by Palaeocene-Quaternary-aged volcanic and sedimentary units. The region has important geological structures that have undergone polyphase deformation, especially in the Eocene units. As a result of these deformations, faults, fractures, folds and linearities were formed. . These structures were compared with satellite-based tectonic lineaments, and it was observed that the general orientations of the lines determined in the field and the satellite-based lineaments were largely compatible. The results of this study can make an important contribution to the exploration of mineral and geothermal resources in the region.

INVESTIGATION OF HIGH SCHOOL STUDENTS’ EXPOSURE TO PHUBBING BEHAVIOR

Technological behavioral disorders have become prevalent issues nowadays. Uncontrolled and excessive time spent on the internet, along with the addictive use of mobile phones, brings along problems in social relationships, feelings of deprivation, and situations such as mobile device or technology addiction. The situation of being unable to live without a phone and consciously ignoring people around oneself has begun to be defined as 'Phubbing'. The main aim of this study is to examine high school students' instances of displaying Phubbing behavior concerning various demographic variables such as school type, gender, grade level, family relationships, and friendships. It is believed that this study will create an awareness of Phubbing behavior and contribute to the literature by providing insights into situations negatively affecting interpersonal communication, thereby enabling necessary precautions to be taken. The aim of this study is to examine Phubbing behavior among high school students concerning various demographic variables (school type, gender, grade level, family relationships, friendship relationships, duration of internet usage). The study was conducted based on a quantitative research method using a survey design. The 'General Phubbing Scale’ was employed as the data collection instrument. A total of 353 students from both private and public high schools in a province in the Central Anatolia region participated in the research during the 2022-2023 academic year. In addition to descriptive statistics for the analysis of quantitative data obtained from the scale, tests examining differences between means, such as independent sample t-Test and one-way analysis of variance (ANOVA), were utilized. Upon examination of the findings from the study, no significant difference was found concerning Phubbing behavior based on gender. However, significant differences were observed in demonstrating Phubbing behavior among students based on school type, phone usage durations, and family and friendship relationships. The research concludes with some recommendations.