Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Gul, Muhammet(110)
- Güler, Ömer(70)
- Akkurt, Nevzat(69)
- Serdar, Osman(57)
- Yucesan, Melih(55)
- Celik, Erkan(53)
- Tekin, H.O.(52)
- ALMisned, Ghada(49)
- Bulut, Hasan(49)
- Baskonus, Haci Mehmet(48)
- Paksoy, Mehmet Yavuz(46)
- Yildirim, Numan(45)
- Kocabaş, Mehmet(41)
- Yildirim, Nuran Cikcikoglu(41)
- Zengin, Gokhan(40)
- Alataş, Mevlüt(39)
- Ince, Muharrem(38)
- Benzer, Fulya(37)
- Mete, Suleyman(34)
- Aslan, Naim(33)
- Kutlu, Banu(33)
- Yildirim, Ozal(33)
- Topal, Murat(32)
- Tanyol, Mehtap(30)
- Batan, Nevzat(28)
- Özkul, İskender(28)
- Kök, Mediha(27)
- Utku, Anıl(27)
- Can, Erkan(26)
- Danabas, Durali(26)
- Sulaiman, Tukur Abdulkadir(26)
- Ates, Mehmet(25)
- Ezer, Tülay(25)
- Guler, Omer(25)
- Kutluyer, Filiz(25)
- Say, Yakup(25)
- Serin, Faruk(25)
- Erguven, Gokhan Onder(24)
- Onat, Onur(24)
- Cakilcioglu, Ugur(23)
Yayınlar
- MakaleAçık Erişim2025Evolution of digital marketing campaigns with artificial intelligence and machine learning: Analysing success prediction capabilities
Cevher, Muhammed Fatih; Gülter, Erkan
This study aims to investigate the predictive capabilities of machine learning algorithms in forecasting the success of digital marketing campaigns. In addition, the study aims to evaluate the performance of machine learning algorithm classification models and to determine which classification model is more effective in making this prediction. In this direction, a classification analysis was performed with machine learning algorithms using a dataset of 10,001 digital marketing campaigns obtained from the Kaggle platform. The study's theoretical background is based on Attribution Modelling, the Technology Acceptance Model, Incremental Response Modelling, and the Diffusion of Innovations Theory. As a result of the analysis, it was revealed that the success prediction capabilities of machine learning algorithms for marketing campaigns are pretty high. In the study comparing the success prediction abilities of machine learning models, the Gradient Boosting model demonstrated the highest success prediction ability (93.31%). In comparison, the Logistic Regression model has the lowest predictive success rate (53.36%). The findings revealed that machine learning algorithms should be more widely incorporated into the marketing literature and that businesses can run more successful and efficient campaigns by utilising machine learning models in their marketing efforts.
AtıfOpenAlex1
İncele - MakaleAçık Erişim2025The relationship between quiet quitting and turnover intention in nurses: A systematic review and meta- analysis
Sezgin, Eray Ekin
Although some recent research has shown a positive association between quiet quitting and turnover intention among nurses, a thorough systematic review on this topic has yet to be conducted. Addressing the gaps in this area will provide a clearer understanding of the dynamics influencing nurses' turnover intentions and shed light on the development of future preventive strategies. This meta-analytic review aimed to integrate and critically assess the relationship between quiet quitting and turnover intention among nurses. All studies had a cross-sectional design and were conducted from 2023 onwards. A comprehensive search of six databases, including ScienceDirect, Medline, JSTOR, ProQuest, Scopus, and Web of Science, was conducted to gather empirical studies for this meta-analytic research. The results indicated a moderate, positive relationship between quiet quitting and turnover intention (r = 0.40, p < 0.0001). Furthermore, the overall effect size showed consistency, and the heterogeneity level (I² = 94.7%) was considered within acceptable thresholds. Further in-depth research is required to gain a clearer understanding of how quiet quitting influences turnover intention. To prevent quiet quitting, nursing managers should establish clinical guidelines and support programs that promote nurses' professional development and enhance their job satisfaction and commitment to the profession. In this way, nurses can achieve more satisfaction and motivation in their workplaces, and thus their turnover intentions can be reduced.
AtıfOpenAlex3İncele - MakaleAçık Erişim2025Security and Performance-Based Design and Evaluation Criteria for Cryptographic Random Number Generators
Erdem, Ebubekir; Garipcan, Ali Murat
This study comprehensively examines security and performance-oriented selection and evaluation criteria for Random Number Generators (RNGs) used in cryptographic applications. The study analyzes the fundamental differences between Pseudo Random Number Generators (PRNGs) and True Random Number Generators (TRNGs). Within the scope of these analyses, entropy sources, statistical characteristics, and performance metrics, as well as their effects on security, are evaluated. The ability of TRNGs to meet high security requirements thanks to their hardware-dependent structures is compared with PRNGs, which offer software-based and low-cost solutions. The study evaluates various criteria ranging from minimum entropy tests to space and energy requirements. It also highlights the fundamental challenges encountered in the design and implementation of RNGs in cryptographic systems. Additionally, the fundamental security requirements encountered in RNG design and how these requirements can be met in practice are discussed in detail. In this context, PRNGs, TRNGs based on physical processes, and hybrid RNG designs are analyzed. The advantages and disadvantages of these different design paradigms are then presented in a comparative manner. In conclusion, this study delivers a framework that unifies security, performance, and design considerations for RNGs, setting a benchmark for future cryptographic research. As a result, this framework forms the foundation for the next generation of secure, efficient, and scalable cryptographic systems.
- MakaleAçık Erişim2025Regional Variations in the Physical and Rheological Properties of Asphalt Binders Recovered from Earthquake-Damaged Roads Following the February 6, 2023 Türkiye Earthquakes
Furtana, Beyza
This study investigates the physical and rheological properties of asphalt binders recovered from earthquake damaged road sections in Hatay, Kahramanmaras, Gaziantep, and Malatya following the February 6, 2023, earthquakes in southern Türkiye (Mw = 7.8 and Mw = 7.5). Asphalt mixture samples were collected from severely deteriorated pavements, and bitumen was extracted through solvent extraction and rotary evaporation. The recovered binders were subjected to penetration, softening point, rotational viscosity, and Dynamic Shear Rheometer (DSR) tests to evaluate aging, stiffness, high-temperature performance, and viscoelastic behavior. Results revealed significant regional differences: Hatay binders exhibited the lowest penetration, highest softening point, highest viscosity, and the greatest rutting resistance (high G*/sinδ values) while maintaining lower phase angles, indicating enhanced stiffness and elasticity. In contrast, Kahramanmaras binders showed the highest penetration, lowest softening point, and lower viscosity, combined with high phase angles, reflecting a softer, more viscous character with reduced deformation resistance. Malatya and Gaziantep binders displayed intermediate characteristics, with Malatya showing moderate stiffness and Gaziantep retaining greater flexibility. Across all samples, viscosity decreased markedly with increasing temperature, and rutting resistance diminished at higher service temperatures; however, binders with higher initial G*/sinδ values retained better performance. The findings highlight the influence of regional seismic intensity, climatic conditions, and pavement history on binder behavior and emphasize the need for region-specific maintenance and rehabilitation strategies in post-disaster pavement management.
- MakaleAçık Erişim2025A simple touch into the busy work routine: progressive relaxation and posture exercises improve physical and mental health of health professionals
Goksuluk, Merve Basol; Tütün Yümin, Eylem; Parlak, Ebru; Topcuoglu, Ceyhun; Sürmelı, Mahmut; Hamurcu, Reşat
Aims: The aim of this study was to implement a combination of the progressive muscle relaxation technique (PMRT) along with posture exercises and assess their impact on the mental and physical well-being of health professionals with health complaints. Methods: This quasi-experimental study utilized hybrid, remote, and web-based telehealth methods, including phone calls, video recordings, and electronic documents. Thirty-eight health professionals experiencing pain engaged in PMRT twice a day, every two days, over a two-week period. Posture exercises were seamlessly integrated into their daily work routines and performed 2-3 times a day. Various parameters, including pain, fatigue, anxiety, depression, kinesiophobia, sleep quality, and centrality of pain, were assessed both before and after the treatment. Results: Significant improvements were observed in the prevalence, intensity, and centrality of pain, accompanied by a reduction in fatigue, anxiety, and depression scores post-treatment (p<0.05). However, there was no notable improvement in kinesiophobia and sleep quality scores following the treatment (p>0.05). Conclusion: The integration of PMRT and posture exercises into the daily routines of health professionals, delivered through remote web-based telehealth, emerges as an effective and straightforward strategy for ameliorating certain physical complaints and enhancing mental health. This approach holds the potential to be easily adapted into both daily life and work environments, offering a valuable tool for coping with work-related disorders.
- MakaleYalnız künye2025The Investigation of the Weldability of Ti6Al4V Alloy with Different Stainless Steel Series Using Copper Interlayer via Friction Welding
Çelık, Ertugrul
Friction welding is a solid-state welding method used for joining metals with different properties, providing minimal thermal deformation in welded joints. Based on this advantageous feature of friction welding, this study investigates the weldability of Ti6Al4V alloy with 316L, 316Ti, 310, 430, and 304 series stainless steels using a Cu powder interlayer. Following the experimental procedures, the microstructures of the materials were analyzed using SEM-EDX, their macrostructures were visually inspected for physical changes, microhardness measurements were taken, and tensile tests were performed. It was observed that the Cu powder interlayer significantly influenced the reactions and bonding between the materials, playing a crucial role in both microstructure and mechanical properties. In this study, successful joining results were achieved using the friction welding method, and the microstructural characteristics and mechanical performance of the welded joints were thoroughly evaluated. Upon examining the microhardness results, no significant variations in hardness values were observed on the Ti6Al4V side.
- MakaleAçık Erişim2025Advances in Materials Innovations in Half Metallic Heusler Alloys for Structural Magnetic and Energy Spintronic Technologies
Özkul, İskender; Kalay, Ece; Guler, Omer; Aksu Canbay, Canan
Half-metallic Heusler alloys are promising materials for spintronic and thermoelectric applications. These alloys exhibit metallic conductivity in one spin direction while acting as insulators in the opposite spin direction, enabling nearly 100% spin polarization. This property is crucial for spintronic devices such as magnetic tunnel junctions (MTJs), magnetic random-access memories, and spin-based transistors. This study investigates the electronic, magnetic, and structural properties of Heusler alloys, focusing on their synthesis methods, atomic ordering, and modelling via density functional theory (DFT). DFT-based calculations serve as a key tool for predicting band structures, spin polarization, and magnetic properties. Additionally, the effects of disorder, strain, and compositional changes on material properties are analysed to explore performance optimization strategies. The potential applications of Heusler alloys in spintronic memory devices, thermoelectric energy conversion, and quantum technologies are also discussed. This work is presented as a review article and systematically compiles and interprets findings from the existing literature to provide a broad understanding of the topic. By integrating theoretical and experimental approaches, this study provides a comprehensive overview of the role of these materials in advanced technological applications.
- MakaleAçık Erişim2025Investigation of the Bioactivity Properties of TiZrCrNb0.3Ta0.07 Medium Entropy Alloy Produced from TNTZ Waste
Say, Yakup; Yayla, Nihal; Güler, Ömer; Güzel, Harun
High entropy alloys (HEAs) and medium entropy alloys (MEAs) have garnered significant attention as alternative materials in various fields due to their superior physical and chemical properties compared to conventional alloys. One of the most promising applications of this innovative material class is in biomaterials. In this study, a bio-medium entropy alloy (BioMEA), TiZrCrNb0.25Ta0.05, was successfully synthesized using non-toxic elements (Ti, Zr, Cr, Nb and Ta) through arc melting of TNTZ alloy waste. The produced BioMEA was comprehensively characterized using scanning electron microscopy (SEM), energy dispersive spectroscopy (EDS), and X-ray diffraction (XRD) to analyze its structural and chemical properties. Additionally, the in-vitro degradation, ion release, and bioactivity properties of the alloy were evaluated and compared with those of the conventional TNTZ alloy, with a focus on the effects of heat treatment. The results demonstrated that heat treatment did not cause significant changes in the microstructure of the TiZrCrNb0.25Ta0.05 alloy but led to the formation of intermetallic compounds such as Cr2Zr and Cr2Ta on the surface. Degradation tests revealed an unexpected mass gain across all sample groups after a four-week immersion period due to surface precipitation, surpassing the expected mass loss from degradation. Ion release analyses showed similar behavior between the TiZrCrNb0.25Ta0.05 and TNTZ alloys, with ion release levels in the ppb range, confirming that Ti was released at non-toxic levels. Bioactivity tests identified low lesvels of Ca-P-O deposition on all sample surfaces, with the highest bioactivity observed in the heat-treated TiZrCrNb0.25Ta0.05 sample. Overall, the findings suggest that the TiZrCrNb0.25Ta0.05 alloy has the potential to serve as an alternative biomaterial to the TNTZ alloy, with its bioactivity properties being further enhanced through heat treatment. Further studies are recommended to optimize its bioactivity and evaluate its in-vivo performance for biomedical applications.
- MakaleAçık Erişim2025The Health Effects of Fluoride and Nitrate in Drinking Water in Tunceli (Türkiye)
Kutlu, Banu; Çetindağ, Serdar
Fluoride (F⁻) and nitrate (NO₃⁻) are common inorganic constituents of drinking water and can cause significant public health effects when present at inadequate or excessive concentrations. This study determines the levels of fluoride and nitrate in drinking water collected from 18 stations across Tunceli Province, Türkiye, during 2021, and evaluates the non-carcinogenic health risks for four age groups (infants, children, adolescents, and adults). Fluoride and nitrate concentrations were measured using spectrophotometric methods and Estimated Daily Intake (EDI) and Hazard Quotient (HQ) values were calculated. Fluoride concentrations ranged from 0.06 to 0.31 mg L⁻¹ and were below the WHO guideline value, with all HQ values <1. Nitrate concentrations varied more widely (0.45–64.38 mg L⁻¹), and exceedances of WHO limits were recorded at several rural stations. Infants and children exhibited HQ>1 values, indicating potential health risks associated with nitrate exposure. The findings highlight spatial heterogeneity in water quality across Tunceli and emphasize the need for age-specific monitoring programs and improved groundwater protection strategies.
AtıfOpenAlex1İncele - MakaleYalnız künye2025Risk assessment in cheese production process using failure mode and effects analysis and intuitionistic fuzzy topsis
Ünlükal, Ceren; Şenel, Mine; Şenel, Bilgin; Avarbek, Kenan
The aim of this study is to evaluate the cheese production process, which plays a significant role in the milk and dairy industry, in terms of physical, chemical, and microbiological risks using the integrated Failure Mode and Effects Analysis (FMEA) and Intuitionistic Fuzzy TOPSIS (IF-TOPSIS) methods. Although the classical FMEA method is a widely used analytical technique that helps identify and reduce potential risks in processes, it has some drawbacks: such as the possibility that different failure modes may have the same risk priority values (RPN) and risk factor weights. To address this shortcoming, the intuitionistic fuzzy set theory was used to determine the RPN values. This study aimed to identify failures that may occur at critical steps in the production chain, their possible causes, their impact on product quality, and the priority of preventive actions. The study demonstrates that the intuitionistic fuzzy multi-criteria decision-making (MCDM) approach is an effective tool for food safety and quality management in the dairy products industry.
- MakaleAçık Erişim2025A comparison of cnn and transformer-based models for algal species classification
Ertarğın, Merve; Şimşek, Gökçe Kendirlioğlu
In this study, the classification of Spirulina platensis, Tetraselmis suecica, and Porphyridium cruentum algal species was conducted using RegNetY-008, ConvNeXt-Tiny, and ViT-Tiny models. The experiments were performed on a small and imbalanced dataset, where all models achieved an accuracy of 100%. To assess model performance, training and validation losses were analyzed, confirming the absence of overfitting. Furthermore, Grad-CAM was applied to visualize the decision-making processes of the models. The results indicate that although all models demonstrated high accuracy, the ViT-Tiny model exhibited the most interpretable visualizations by effectively focusing on algal cells. This study highlights the capability of transformer-based models to achieve high performance even on small and imbalanced datasets, offering a promising alternative for biological image analysis.
- MakaleAçık Erişim2025Predicting daily energy consumption in ev charging stations using tree-based models
Ertarğın, Merve
Electric vehicles (EVs) have emerged as a cornerstone in the transition toward sustainable transportation, offering a cleaner alternative to conventional fossil fuel-based mobility. Their integration into modern transportation systems not only supports global decarbonization efforts but also requires robust energy management solutions to address the growing demands on charging infrastructure. Ensuring efficient energy consumption forecasting is vital for optimizing EV charging station operations and maintaining grid stability. This study aims to predict the daily energy consumption of an EV charging station using a public dataset. Key features such as charging duration, vehicle count, mean and median connection time were utilized for the prediction. Both the original dataset and its z-score-cleaned version were employed to evaluate the models' performance under different data conditions. Decision Tree (DT), Random Forest (RF), Extreme Gradient Boosting (XGBoost) and Light Gradient Boosting Machine (LightGBM) models were implemented, with hyperparameter optimization conducted via GridSearchCV. The results revealed that all four models achieved high accuracy in predicting daily energy consumption across both datasets, with R2 values exceeding 0.97. Specifically, for the z-score-cleaned dataset, LightGBM demonstrated the best performance with the lowest RMSE (37.35 kWh) and MAE (28.93 kWh), as well as the highest R2 value (0.9727) followed by XGBoost, RF and DT.
AtıfOpenAlex1İncele - MakaleAçık Erişim2025Effects of Alternative Binder and Aggregate Use on the Compressive Strength of Concrete
Gülmez, Nihan; Pala, Mustafa
The use of industrial wastes in concrete production is of significant importance in reducing environmental impacts and lowering costs. In this study, concrete mixtures were designed by using olivine minerals as a substitute for Portland cement (PC), chromite powder as fine aggregate, and ferrochromium slag as coarse aggregate. The effects of different binder and aggregate ratios on the compressive strength of the concrete were examined after a 7-day curing period. Experimental results showed that mixtures with 5% olivine substitution achieved the highest compressive strength of 22.30 MPa, particularly in mixtures with a cement dosage of 500 kg/m³. This result indicates that the low water/cement ratio and the addition of olivine contribute to increased early-age strength. Furthermore, increasing the chromite powder content to 20% in mixtures with a water/cement ratio of 0.61 led to an 11.7% increase in compressive strength, demonstrating the positive impact of chromite powder on the mechanical performance of the concrete. These findings highlight that cement replacements and aggregate types can significantly affect the mechanical properties of concrete, emphasizing the need for careful selection of both material compositions.
- MakaleAçık Erişim2025Tek değişkenli tahminde tahmin yöntemlerinin karşılaştırılması: Türkiye çimento endüstrisi örneği
Tüzüntürk, Selim; Eteman, Fatma Sert
Bu çalışma, Türk çimento imalat sanayinde çimento üretimini tahmin etmek için bir yöntem bulmayı ve bu yöntemle çimento üretimini tahmin ederek gelecekteki üretim gelişimi hakkında bazı sonuçlar çıkarmayı amaçlamaktadır. Bu çalışmada kullanılan veri, Türk çimento sanayinin toplam aylık çimento üretimidir. Veriler, Ocak 2017'den Eylül 2024'e kadar 93 ayı kapsamaktadır. Oluşturulan modele yapay sinir ağı modelleme prosedürleri uygulanmış ve derin öğrenme araçları yardımıyla tahmin yapılmıştır. Tahminlerin performansı oldukça iyi olup, ağın genelleştirilebilir olduğu sonucuna varılmıştır. Sonuçlar, eğitilen ağdan elde edilen eşik değerleri ve ağırlıklar kullanılarak geliştirilen model ile aylık üretimlerin tahmin edilebileceğini göstermiştir. Aylık çimento tahminleri Aralık 2026'ya kadar yapılmıştır. Tek değişkenli zaman serisi verilerinin YSA'lar ile modellenmesinin başarısı, MAPE istatistikleri kullanılarak Winters ve SARIMA yöntemleri ile karşılaştırılarak doğrulanmıştır. En uygun tahmin yönteminin YSA olduğu bulunmuş ve bulgular tartışılmıştır.
- MakaleAçık Erişim2025Zebra Midyesinin (Dreissena polymorpha) Yağ Asidi Profili Ve Yağ Asidine Bağlı Besinsel Kalite Indekslerinin Değerlendirilmesi
Erol, Nida Demirtaş
Esansiyel omega-3 çoklu doymamış yağ asitleri (n-3 PUFA'lar) insan sağlığı için hayati öneme sahiptir ve bir dizi rahatsızlığı önler; midyeler bu PUFA'ların iyi bir kaynağıdır. Bu çalışmanın amacı, yağ asidi bileşimini ve besin kalitesi parametrelerini ölçerek zebra midyesinin (Dressiana polymorpha) fonksiyonel bir gıda olarak potansiyelini değerlendirmektir. Zebra midyesi yağında çözücü ekstraksiyonla lipid miktarı, yağ asidi bileşimi ve besin kalitesi endeksleri belirlendi ve zebra midyesinin nutrasötik ve farmasötik olarak potansiyeli değerlendirildi. Zebra midyesi düşük lipid içeriğine rağmen insan sağlığına faydalı olan yağ asidi profilleri gösterdi. Zebra midyesindeki majör yağ asidi grubu SFA'lar olup bunu MUFA ve PUFA grupları izledi. EPA ve DHA miktarlarının toplamı 14.051.36 olarak bulundu. Ayrıca zebra midyesinin n6/n3 oranı 0.09 olarak bulundu. Zebra midyesinin PUFA/SFA oranı 0.36 olarak bulundu. AI, TI ve HH değerleri sırasıyla 0,60, 0,37 ve 1,09'du. Mevcut çalışma, zebra midyelerinin lipid kalitesini ve yararlı yağ asitlerini işlevsel diyet bileşenleri olarak değerlendirmeye işaret etmektedir.
- MakaleAçık Erişim2025Differences in Quality Between Canned and Pouched Yellowfin Tuna (Thunnus albacares) Packed with Various Media
Erol, Nida Demirtaş
Canned and pouched tuna products are available in the markets in different liquid media such as brine, different oils and sauces. Limited information is provided about the pouched tuna products in different liquid media available in the Turkish market and the differences between them. The main purpose of this study is to evaluate the differences between two different tuna packaging methods using different packaging media. The pH values of CW (canned tuna in water) and PW (pouched tuna in water) were found to be lower than the others ((CO (canned tuna in olive oil), CS (canned tuna in sunflower oil), PO (pouched tuna in olive oil,) PS (pouched in sunflower oil)). It was observed that the TBA values of all groups were below the limits of developing objectionable odor/taste. The n-6/n-3 ratio was determined to be quite high in CS and PS. On the other hand, higher eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) contents were found in CW and PW compared to the others (CO, CS, PO, PS). It was determined that the tuna products were safe according to the heavy metal contents of arsenic, mercury, lead and cadmium levels. The L* values of all canned tuna (CO, CS, CW) were found to be significantly higher than those of pouched tuna (PO, PS, PW). The b* values of both CW and PW was found to be lower than the other groups. CW had the lowest overall quality, color and taste scores compared to the others. In this regard, pouched tuna products, especially PW, were recommended for health reasons.
- MakaleAçık Erişim2025Belediyelerin Sosyal Hizmet Fonksiyonu Üzerine Bir Araştırma: Sahadan İzlenimler
Akgül, Ceylan Sülü
Çalışma dünyada bilhassa sosyal hizmet alanında birçok ülkede işlevsel olarak faaliyet sürdüren belediyelerin, Türkiye’deki işlevselliğini vurgulamak ve bu alanda hizmet sunan sosyal hizmet uzmanlarının hizmete yönelik kapsamlı değerlendirmelerine (alan, sosyal hizmet uzmanları ve müracaatçılar açısından) yer vermek amacıyla kaleme alınmıştır. Bu bağlamda Antalya, Kocaeli, İstanbul, İzmir, Mersin, Sakarya ve Tunceli Belediyelerinde çalışan dokuz sosyal hizmet uzmanı ile derinlemesine görüşmeler yapılmış, elde edilen bulgular ve görseller Maxqda 2024 programı kullanılarak tematik analiz yoluyla yorumlanmıştır. Elde edilen bulgulara göre yerel yönetimler içerisinde belediyelerin; hızlı, kolay, erişilebilir, bölgenin dinamiklerine hakim, ulaşılabilir bir hizmet modeli sunduğu anlaşılmaktadır. Yine Türkiye’deki belediyelerin hizmetlerinin ekseriyetle sosyal yardımlar niteliğinde olduğu, sosyal hizmet uzmanlarının mesleki müdahalelerinin apolitik düzlemde değerlendirilmediği, bu hizmetlerin halkın ihtiyacı, belediyenin bütçesi, ilin nüfusu, belediyenin büyükşehir-il-ilçe belediyesi olma durumuna göre değişkenlik gösterdiği, yaşanılan sorunların daha yapısal çözümlerle; yeni sosyal politikalar, tüm belediyelerin kullandığı entegre bir sistem ve ortak projelerle kapsayıcı boyutta geliştirilebileceği vurgusu sosyal hizmet uzmanlarının sahadan aktardıkları deneyimleri sonucunda ortaya konmuştur.
- MakaleYalnız künye2025Evaluating the effects of socioeconomic factors on economic complexity
Veysikarani, Dilek; Eteman, Volkan
An analysis of the relationship between the economic complexity index (ECI) and various socioeconomic variables is presented in this study. Complexity of the economy is an important indicator of a country's ability to produce and its knowledge base. ECI-high countries are generally more technologically advanced, with a more diverse and sophisticated production structure, higher levels of education, and better income distribution. We used canonical correlation analysis to analyze the relationship between ECI and socioeconomic variables. A variety of socio-economic variables were considered in the analysis based on 2021 data, including the GDP, foreign direct investments, political stability index, innovation index and average life expectancy. The importance of trade, technology, and research has been examined as indicators of economic complexity. Based on the results of the analysis, ECI and socio-economic variables have strong positive relationships. Among the three indices of economic complexity, the innovation index has the strongest positive correlation, followed by GDP and life expectancy. Economic complexity variables are positively correlated with foreign direct investments, even though the relationship is weaker.
- MakaleAçık Erişim2025Application of GIS in Flood Risk Analysis and Mitigation Strategies: The Case of Uluova and İkitepe Streams
Korkmaz, Meral; Uymaz, Muhammed
In recent years, the frequency and severity of floods have increased significantly due to the effects of global climate change, leading to serious economic and social losses, particularly in agricultural production areas. Floods not only damage cultivated lands but also negatively affect the livelihoods and socio-economic structures of local communities. This situation necessitates accurate identification of flood risk in agricultural areas and timely implementation of appropriate mitigation measures. In this study, flood risk was investigated in agricultural lands surrounding the Uluova Stream located between Doğankuş, Karşıbağ, and the Keban Dam and the İkitepe Stream, which flows through the center of Mollakendi in Elazığ Province, Türkiye. These areas are characterized by intensive agricultural activities. Using Geographic Information Systems (GIS), seven key parameters distance to streams, land use, aspect, slope, soil structure, precipitation, and geological features were analyzed, and corresponding thematic maps were generated. Flood risk levels were determined through spatial analysis and classification of these parameters using ArcGIS software. Based on the results, areas with high flood risk were identified, and both structural and non-structural mitigation measures were proposed for these zones. The findings offer valuable insights to support sustainable agricultural production and rural development by minimizing potential flood damages and reducing associated economic risks in the region.
- BildiriYalnız künye2025Scopus SJRQ1Perceived learning after manual airway clearance techniques practice: peer learning vs. simulation-based learning
Cakmak-Onal, Aslihan; Aksel-Uylar, Aydan Asli; Saglam, Melda; Topcuoglu, Ceyhun; Vardar-Yagli, Naciye; Calik-Kutukcu, Ebru; Demirel, Aynur; Inal-Ince, Deniz
