Aksaray Üniversitesi Kurumsal Akademik Arşivi
DSpace@Aksaray, Aksaray Üniversitesi tarafından doğrudan ve dolaylı olarak yayınlanan; kitap, makale, tez, bildiri, rapor, araştırma verisi gibi tüm akademik kaynakları uluslararası standartlarda dijital ortamda depolar, Üniversitenin akademik performansını izlemeye aracılık eder, kaynakları uzun süreli saklar ve telif haklarına uygun olarak Açık Erişime sunar.
Güncel Gönderiler
Preparing children for the future with environmental education
(IGI Global, 2025) Yıldırım, Bedia
The natural environment, which has been damaged by human interventions, was initially able to tolerate human-induced negative impacts, but over time this destruction has reached the dimension of environmental disaster. Although steps were taken to address environmental problems from time to time, the measures taken were not sufficient and environmental problems continued to increase. Considering that the easiest, permanent and economical way to solve problems is through education, education should be given importance in the fight against environmental problems. The prerequisite for a livable environment is to raise an environmentally sensitive generation. The first target should therefore be the critically important early childhood period. In order to invest in our future, it is necessary to increase children's contact with nature, to ensure that they love and protect nature, and to develop their attitudes and skills to contribute to nature. So what are the duties of families and educators in this regard, what can we do for a more ecological, sustainable and livable environment?.
Early childhood teachers’ understanding and perceptions regarding early childhood education for sustainability
(Taylor and Francis Ltd., 2025) Köklü Yaylacı, Hasret; Olgan, Refika
Eco-school teachers who primarily incorporate the principles of Education for Sustainable Development (ESD) into their teaching practices serve as active agents of sustainable development, with the potential to foster sustainable behaviors from an early age. This study examined the understanding and perceptions of early childhood eco-school teachers regarding sustainability, sustainable development, Education for Sustainable Development (ESD), and Early Childhood Education for Sustainability (ECEfS). Focus groups and pre-/postconcept maps were used to gather data. The findings showed that while teachers viewed ECEfS as crucial for sustainable development, their understanding of sustainability, sustainable development, and the goals of ESD and ECEfS was limited. Teachers predominantly associated ESD and ECEfS with the environmental pillar, though some acknowledged sociocultural and economic aspects. Moreover, key concepts for ECEfS practice involved respect for differences, saving, consumption habits, and self-confidence. In addition, teachers’ postconcept maps revealed a broader, more comprehensive understanding of ESD compared to their preconcept maps. These findings suggested that teachers needed professional development to enhance their knowledge and implementation skills for ECEfS and address the sociocultural and economic dimensions of sustainability to implement a holistic approach to ECEfS effectively.
Data-driven drought prediction by means of machine learning techniques and ıncreasing accuracy with wavelet transform
(Birkhauser Verlag Basel, 2025) Tuğrul, Türker; Selek, Bülent; Hınıs, Mehmet Ali; Selek, Zeliha; Oruç, Sertaç
Drought is not only a problem that challenges scientists but also one of the most difficult natural disasters to combat for local governments and decision-makers. Like many parts of the world suffering from drought, the western Mediterranean region of Turkey is also affected by drought. In this study, innovative drought prediction models were created with different machine learning algorithms and deep learning methods to create a model that will help decision-makers regarding drought. 4 different monthly lagged model structures were established using SPI12 values calculated with precipitation data between 1967 and 2020 for the Acipayam, Bodrum and Fethiye regions located in the west of Turkey. While providing data, attention was paid to the distance between stations and data continuity. The models were analyzed with Long-Short Term Memory (LSTM), Artificial Neural Network (ANN) and Random Forest (RF) algorithms. In addition, Discrete Wavelet Transform (WT) was used to obtain better model results. The hyper-parameters of these algorithms were determined by taking into account the most commonly used parameters in the literature. The analysis results were evaluated by correlation coefficient (R), root mean square error (RMSE), Nash–Sutcliffe Efficiency (NSE), and Combined Accuracy (CA). As a result of the comparison of these methods, the best results were obtained in the M01 model of LSTM, LSTM-WM01, for Acipayam after WT (r: 0.9910, NSE: 0.9733, RMSE: 0.1637, and CA: 0.1030). While the best prediction for Bodrum was obtained in LSTM-WM02 after WT (r:0.9657, NSE:0.9325, RMSE:0.3101, and CA: 0.1929), for Fethiye it was obtained in LSTM-WM02 having performance metrics r:0.9539, NSE:0.8973, RMSE:0.3689, and CA: 0.2359. It is expected that the results obtained with this study will help researchers and decision-making authorities on drought.
The role of social capital for widowed women in their social service needs: protective or obstructive
(Routledge, 2025) Öztürk, Hatice; Yıldırım, Filiz
Widows face psychological, economic, and social challenges after the loss of their spouse. To identify the social service needs of these women, it is essential to understand the relationships and interactions—beginning from childhood—that form the foundation of these issues. Social capital, the focus of these relationships, is defined as close, distant, and formal relationships based on trust and norms. This study aims to understand the role of social capital in the social service needs of widows in Turkey through their narratives. This narrative study with 20 widows aged 18–65 explores their narratives through in-depth interviews. Participants were selected through snowball sampling, and thematic analysis was conducted using MAXQDA, 2024. The results revealed the significance of trust in the relationships of widows, beginning from childhood, and demonstrated that social capital can play both supportive and obstructive roles in meeting their social service needs. Furthermore, the results can provide evidence for why social workers working with widows should focus on their relationships with close, distant, and formal networks when assessing them from a person-in-environment perspective. Future researchers may focus on gender, stigmatization, and rural–urban residency to examine the role of social capital in meeting widows’ social service needs.
Lead-Free Cs2(Cd/Sn)BeCl6 Halide Double Perovskites: a comprehensive first-principles study of structural, optoelectronic, and thermoelectric properties for sustainable energy applications
(John Wiley and Sons Inc, 2025) Benkatlane, Aissa; Rached, Djamel; Caid, Messaoud; Rached, Habib; Deligöz, Engin; Rached, Youcef; Özışık, Hacı; Mansour, Houda; Benkhettou, Nour-Eddine
Ab initio simulations based on density functional theory are employed to investigate the structural, electronic, mechanical, optical, and thermoelectric properties of Cs2ABeCl6 (A = Cd, Sn) halide double perovskites. The results demonstrate that both compounds crystallize in the stable cubic Fm-3m symmetry. Structural and thermodynamic stability are verified through the Goldschmidt tolerance factor (tG), octahedral factor (μ), modified tolerance factor (τ), formation energies (ΔEf), and Born–Huang criteria. Mechanical property evaluations suggest ductility and significant anisotropy in both compounds. First-principles calculations using the generalized gradient approximation indicate a direct bandgap of 1.98 eV for Cs2CdBeCl6 and an indirect bandgap of 2.58 eV for Cs2SnBeCl6. Optical investigations reveal significant absorption, refractive index, extinction coefficient, energy loss spectra, and reflectivity features in the energy range of 0–13 eV, indicating strong interactions within the ultraviolet region. Thermoelectric properties are evaluated using the BoltzTraP code, revealing low thermal conductivities and figure of merit values close to 1 at room temperature, which demonstrates excellent thermoelectric performance. The synergy of semiconducting behavior, strong UV absorption, and high thermoelectric efficiency positions Cs2CdBeCl6 and Cs2SnBeCl6 as promising candidates for optoelectronic and energy applications. This work presents the first theoretical investigation of beryllium-containing double perovskites, combining beryllium's unique mechanical stability with optoelectronic functionality.
