Fakülteler / Faculties

Permanent URI for this communityhttps://hdl.handle.net/11727/1395

Browse

Now showing 1 - 20 of 225

A Configurational Approach for Analyzing Cultural Values and Performance in Global Virtual Teams
(INTERNATIONAL BUSINESS REVIEW, 2024) Sahin, Faruk; Taras, Vas; Cetin, Fatih; Tavoletti, Ernesto; Askun, Duysal; Florea, Liviu
Although there have been decades of research on the effect of cultural values on team effectiveness outcomes, knowledge of the interdependencies of team cultural values for explaining team performance remains nascent. Using a configurational qualitative approach, this study explores how cultural values combine and collectively contribute to the effectiveness of Global Virtual Teams (GVTs). We perform a fuzzy-set qualitative comparative analysis on a data set of 1847 individuals nested within 396 GVTs who participated in an international business consulting project. The results demonstrate that cultural values work together to achieve high levels of team performance rather than function independently. The results also show that different cultural value configurations could be equally effective at producing the same outcome, and that the presence of gender egalitarianism and the absence of power distance are the most important for producing the outcome. We discuss implications for practice and future research.
A Critical Assessment Of The Design Displacements Of Friction Pendulum Systems
(SOIL DYNAMICS AND EARTHQUAKE ENGINEERING, 2024-02) Alici, F. Soner; Sucuog, Haluk; Ozcamur, Ugurcan
The equivalent linear static procedure suggested in seismic codes for determining the maximum displacements of seismic isolation systems is evaluated comprehensively for friction pendulum isolators with respect to the benchmark nonlinear response history analysis procedure for a set of radii of curvature and coefficients of friction. A large set of selected and scaled near field ground motions recorded on stiff and soft soils are employed in comparative evaluations. It has been observed that equivalent linear static procedure significantly overestimates the maximum isolator displacements for all practical combinations of radius of curvature and friction coefficient. Overestimation is larger for ground motions on soft soils. Alternatively, a practical description of inelastic displacement spectra is introduced where the hazard is defined in terms of the 1-second spectral acceleration accounting for the seismicity and soil class of the site, and friction pendulum isolation systems are characterized by their radius of curvature and nominal friction coefficient. Employing the proposed design spectra in design and production may lead to significant reductions of the isolator sizes. Moreover, realistic estimation of maximum isolator displacements also leads to realistic estimation of isolator stiffness, as well as the internal design forces of both the isolation system and the superstructure through response spectrum analysis under design spectrum.
A Dss Development Study For Document Distribution Networks For Preparing Autonomous Vehicle-Integrated Distribution Systems
(DECISION, 2024-12) Derya, Tusan; Ic, Yusuf Tansel; Erbay, Mehmet Dogan; Konuk, Kubra; Fidan, Nihal
We propose a decision support system (DSS) to complete the tours of the routes of the traveler in charge of document distribution in the least amount of time for the document distribution task of a university to prepare autonomous vehicle-integrated distribution systems. A mathematical model-based decision support system is developed to determine distribution routes that optimize the total distance to target locations and obtain optimal system conditions for use in the migration of autonomous distribution systems. The purpose is to find the shortest-cost tours to cover all or subsets of edges in a network. Documents are shared and distributed by travelers to other related locations. Soon after, travelers will be replaced by autonomous vehicles. There are many application areas, such as newspapers and mail delivery systems. Therefore, the proposed model can be easily extended to other application areas, such as newspaper, cargo, and mail delivery systems, to construct autonomous vehicle-based systems.
A Fuzzy Computing Approach To Aggregate Expert Opinions Using Parabolic And Exparabolic Approximation Procedures For Solving Multi-Criteria Group Decision-Making Problems
(Başkent Üniversitesi Mühendislik Fakültesi, 2024-03-02) Ic, Yusuf Tansel
Triangular fuzzy numbers (TFNs) are widely used for selection problems to determine expert opinions using linguistic expressions. Some aggregation procedures are developed to determine expert opinions more accurately. However, there is a need for a simple and more useful procedure to solve the selection problems more suitably. For this purpose, our study offers a triangular, exparabolic, and parabolic area calculation-based approximation approach for TFNs to aggregate the possible hedges (very and more or less) for TFNs. Hence, this aggregation procedure provides a tuning opportunity for classical TFN expressions to capture possible tuning processes to reflect the hesitancies of experts. The technique for order preferences by similarity to ideal solution (TOPSIS) method is applied in the two studies from extant literature, and suitable alternatives are determined as a result of the ranking process. Finally, a comparative analysis is presented to illustrate the efficiency of the proposed procedure. The conventional TOPSIS model's ranking scores are very close for exemplified examples (i.e., 0.5308, 0.4510, 0.4550 and 0.5304, 0.4626, 0.4940), but the proposed model's result has fluctuated for the same examples (i.e., 0.346, 0,669, 0,567 and 0.208, 0.991, 0.148). So, the main advantage of the proposed aggregation procedure is the alternative ranking scores separation capability analyzed with their linguistic diversification.
A Gastronomical product in Bursa Cuisine; Orhangazi Gedelek Pickles
(INTERNATIONAL JOURNAL OF GASTRONOMY AND FOOD SCIENCE, 2024-03) Gulec, Hakan; Yilmaz, Ilkay
Gastronomic identity of a region, consists of products grown, produced and presented in ways specific to that region, as well as geography, history, ethnic diversity, dietary habits and table manners, dominant flavors, and recipes. The concept of cuisine identity tries to make the cultures self-identified with cuisine, determine use of local material and the effect of various cultures upon foods and beverages. Local products are one of the components of gastronomical identity. Protection of these products and conveying them to the future generations is of importance in terms of sustaining the gastronomical definition. In this context, the aim of the research study is to determine the characteristics of Gedelek pickles, which is specific to Bursa's local cuisine, in the culinary culture and to examine its production phases. The research was carried out with 12 local producers making home-made production in the village of Gedelek of Bursa Orhangazi town by means of face-to-face with semi structured interviews. The study includes the opinions of local producers about the production, gastronomic value, new product and production techniques and sustainability of these local products bearing geographical indications. The most distinctive feature of Gedelek pickles is the use of "Gedelek Pinarbas,i Spring Water" rising in this region. The fact that Gedelek pickles maintain a texture hardness value close to industrial type pickles is related to the hard water feature of the water used. While local producers producing home-made fermented pickles are open to new products and techniques, they refrain from mechanisation and industrial production would taint the features and taste of pickles. Conscious production, training, institutional support, and promotion to be given to local producers without downgrading the local products would help these local pickles with a protected geographical indication convey the future generations.
A Multi-Objective Optimization Framework for Functional Arrangement in Smart Floating Cities
(EXPERT SYSTEMS WITH APPLICATIONS, 2024) Kirimtat, Ayca; Tasgetiren, M. Fatih; Krejcar, Ondrej; Buyukdagli, Ozge; Maresova, Petra
Before the terms "smart city" and "floating city" were introduced, the world's population had increased and land shortage across the world was already widely recognized. As a first challenge, the previous studies have developed the concept of a smart city as a creative answer, following that, several scientists proposed the floating city concept in the literature as a solution to the increased sea levels. Moreover, engineers, architects, and designers deal with city planning, for smart and floating settlements as a difficult design challenge, and evolutionary algorithms could be employed to address this complex problem by optimizing residents' needs. As a continuation of our previous studies on this topic, this time, we develop a multi-objective continuous genetic algorithm with differential evolution (DE) mutation strategy (MO_CGADE) and a multi-objective ensemble differential evolution algorithm (MO_EDE) to solve the problem on hand. Then, we compare the performance of the MO_CGADE and MO_EDE algorithms with the non-dominated sorting genetic algorithm (NSGAII) to maximize two conflicted objective functions, namely, scenery, and walkability in the proposed smart floating city model created in the Grasshopper Algorithmic Modeling Environment. The parametric model that we create in the Grasshopper software includes 64 decision variables, area constraints and objective functions to be optimized by MO_CGADE, MO_EDE, and NSGAII algorithms. Computational results show that MO_CGADE and MO_EDE algorithms generate better Pareto ranking results than the traditional NSGAII algorithm in terms of cardinality, distribution spacing, and coverage metrics.
A New Approach for Addressing Slip Ratio Optimization and Trajectory Tracking Challenges in Autonomous Tractor Operations
(32ND IEEE SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE, SIU 2024, 2024) Aydin, Gulsah Demirhan; Aydemir, Ali Bahadir; Kansou, Mohamad Thaer; Altinuc, Kemal Orcun
The usage of autonomous agricultural machines is increasing. In this study, two controllers have been designed for trajectory following and longitudinal tire slip ratio control of a rear-wheel independent traction electric autonomous tractor. The first controller is model predictive control (MPC) and the second controller is proportional integral derivative (PID) based. To evaluate the performance of the controllers in the simulation environment, a mathematical tractor model is prepared. Simulations have been made and performances of the designed controllers are shared.
A Partial Epithelial-Mesenchymal Transition Signature For Highly Aggressive Colorectal Cancer Cells That Survive Under Nutrient Restriction
(JOURNAL OF PATHOLOGY, 2024-01-24) Pastorino, Gil A.; Sheraj, Ilir; Oral, Goksu; Gulec Taskiran, Aliye Ezgi; Palmisano, Ralph; Schneider-Stock, Regine
Partial epithelial-mesenchymal transition (p-EMT) has recently been identified as a hybrid state consisting of cells with both epithelial and mesenchymal characteristics and is associated with the migration, metastasis, and chemoresistance of cancer cells. Here, we describe the induction of p-EMT in starved colorectal cancer (CRC) cells and identify a p-EMT gene signature that can predict prognosis. Functional characterisation of starvation-induced p-EMT in HCT116, DLD1, and HT29 cells showed changes in proliferation, morphology, and drug sensitivity, supported by in vivo studies using the chorioallantoic membrane model. An EMT-specific quantitative polymerase chain reaction (qPCR) array was used to screen for deregulated genes, leading to the establishment of an in silico gene signature that was correlated with poor disease-free survival in CRC patients along with the CRC consensus molecular subtype CMS4. Among the significantly deregulated p-EMT genes, a triple-gene signature consisting of SERPINE1, SOX10, and epidermal growth factor receptor (EGFR) was identified. Starvation-induced p-EMT was characterised by increased migratory potential and chemoresistance, as well as E-cadherin processing and internalisation. Both gene signature and E-cadherin alterations could be reversed by the proteasomal inhibitor MG132. Spatially resolving EGFR expression with high-resolution immunofluorescence imaging identified a proliferation stop in starved CRC cells caused by EGFR internalisation. In conclusion, we have gained insight into a previously undiscovered EMT mechanism that may become relevant when tumour cells are under nutrient stress, as seen in early stages of metastasis. Targeting this process of tumour cell dissemination might help to prevent EMT and overcome drug resistance. (c) 2024 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
A Performance Evaluation Study of Thin-Wall Tube Design in the Front Bumper Uses The Altered TOPSIS-Rank Order Clustering Algorithm-Integrated Approach
(MULTISCALE AND MULTIDISCIPLINARY MODELING EXPERIMENTS AND DESIGN, 2024)
Abstract The rising growth of the economy in developing countries led to a significant increase in the number of vehicles on the roads. The number of vehicles in road transport is also increasing significantly due to the increase in automobile ownership due to the increase in city populations. As a result of this increase, there is an increase in traffic accidents. For this reason, automobile manufacturers make significant efforts to develop lighter and more robust bumpers. Also, they used performance measurement studies for the thin-walled bumpers. The motivation of the study is based on the examines the dynamic performance of thin-walled bumpers within the impact of both oblique and axial compression. The crash performance of thin-wall tubes is analyzed based on factors such as speed, mass, and cross-section geometries. We developed a new rank order clustering (ROC) algorithm that integrated altered technique for order preferences by similarity to ideal solution (A-TOPSIS) method-based comparative analysis to determine the best thin-wall tube among the alternatives. For the first time in the literature, the A-TOPSIS results-integrated ROC algorithm is proposed to obtain the best tube profiles considering different expectations from their performance according to the determined criteria.Please check and confirm the edi t in the article title.OK.Please confirm if the author names are presented accurately and in the correct sequence (given name, middle name/initial, family name). Author 2 Given name: [Yusuf Tansel] Last name [Ic] and Author 4 Given name: [Bekir Batuhan] Last name [Sagol]. Also, kindly confirm the details in the metadata are correct.OK
A Revisit To The Plane Problem For Low-Frequency Acoustic Scattering By An Elastic Cylindrical Shell
(Başkent Üniversitesi Mühendislik Fakültesi, 2024-03-16) Yucel, Hazel; Ege, Nihal; Erbas, Baris; Kaplunov, Julius
The proposed revisit to a classical problem in fluid-structure interaction is due to an interest in the analysis of the narrow resonances corresponding to a low-frequency fluid-borne wave, inspired by modeling and design of metamaterials. In this case, numerical implementations would greatly benefit from preliminary asymptotic predictions. The normal incidence of an acoustic wave is studied for a circular cylindrical shell governed by plane strain equations in elasticity. A novel high-order asymptotic procedure is established considering for the first time all the peculiarities of the low-frequency behavior of a thin fluid-loaded cylinder. The obtained results are exposed in the form suggested by the Resonance Scattering Theory. It is shown that the pressure scattered by rigid cylinder is the best choice for a background component. Simple explicit formulae for resonant frequencies, amplitudes, and widths are presented. They support various important observations, including comparison between widths and the error of the asymptotic expansion for frequencies.
A scientometric analysis of fairness in health AI literature
(Başkent Üniversitesi Sağlık Bilimleri Fakültesi, 2024-02-19) Alberto, Isabelle Rose I.; Alberto, Nicole Rose I.; Altinel, Yuksel; Blacker, Sarah; Binotti, William Warr; Celi, Leo Anthony; Chua, Tiffany; Fiske, Amelia; Griffin, Molly; Karaca, Gulce; Mokolo, Nkiruka; Naawu, David Kojo N.; Patscheider, Jonathan; Petushkov, Anton; Quion, Justin Michael; Senteio, Charles; Taisbak, Simon; Tirnova, Ismail; Tokashiki, Harumi; Velasquez, Adrian; Yaghy, Antonio; Yap, Keagan
Artificial intelligence (AI) and machine learning are central components of today's medical environment. The fairness of AI, i.e. the ability of AI to be free from bias, has repeatedly come into question. This study investigates the diversity of members of academia whose scholarship poses questions about the fairness of AI. The articles that combine the topics fairness, artificial intelligence, and medicine were selected from Pubmed, Google Scholar, and Embase using keywords. Eligibility and data extraction from the articles were done manually and cross-checked by another author for accuracy. Articles were selected for further analysis, cleaned, and organized in Microsoft Excel; spatial diagrams were generated using Public Tableau. Additional graphs were generated using Matplotlib and Seaborn. Linear and logistic regressions were conducted using Python to measure the relationship between funding status, number of citations, and the gender demographics of the authorship team. We identified 375 eligible publications, including research and review articles concerning AI and fairness in healthcare. Analysis of the bibliographic data revealed that there is an overrepresentation of authors that are white, male, and are from high-income countries, especially in the roles of first and last author. Additionally, analysis showed that papers whose authors are based in higher-income countries were more likely to be cited more often and published in higher impact journals. These findings highlight the lack of diversity among the authors in the AI fairness community whose work gains the largest readership, potentially compromising the very impartiality that the AI fairness community is working towards.
Accelerating The Environmental Biodegradation Of Poly-3-Hydroxybutyrate (Phb) Via Plasma Surface Treatment
(BIORESOURCE TECHNOLOGY REPORTS, 2024-09-02) Akdogan, Ebru; Sirin, Hasret Tolga; Sahal, Gulcan; Deniz, Zulkuf; Kaya, Ayberk; Serdaroglu, Dilek Cokeliler
The surface of poly-3-hydroxybutyrate (PHB) was modified using a low-pressure plasma system with air as the process gas to accelerate its biodegradation rate in soil. The water contact angle of PHB was reduced from 98 degrees to 57 degrees after plasma treatment, rendering the surface hydrophilic and also induced an increase in the surface free energy. Etching on the surface was observed after the plasma treatment without a significant change in the surface crystallinity. AFM imaging showed that the plasma treatment increased the surface roughness by about 10 folds and created diverse surface structures. The soil burial test showed an approximately 1.5-fold increase in the biodegradation rate for the plasma-treated sample. Initial microbial attachment and biofilm formation were higher on the modified surface. This study demonstrated that the surface morphology created by plasma treatment promoted initial colonization and subsequent biofilm formation on the PHB surface, facilitating and accelerating its biodegradation in soil.
Advancements in QTL Mapping and GWAS Application in Plant Improvement
(TURKISH JOURNAL OF BOTANY, 2024) Altaf, Muhammad Tanveer; Tatar, Muhammed; Ali, Amjad; Liaqat, Waqas; Mortazvi, Parnaz; Kayihan, Ceyhun; Olmez, Fatih; Nadeem, Muhammad Azhar; Javed, Jazib; Gou, Jin-Ying; Wang, Meng-Lu; Umar, Ummad Ud Din; Dasgan, Hayriye Yildiz; Kurt, Cemal; Yildiz, Mehtap; Mansoor, Sheikh; Dababat, Abdelfattah A.; Celiktas, Nafiz; Baloch, Faheem Shehzad
In modern plant breeding, molecular markers have become indispensable tools, allowing the precise identification of genetic loci linked to key agronomic traits. These markers provide critical insight into the genetic architecture of crops, accelerating the selection of desirable traits for sustainable agriculture. This review focuses on the advancements in quantitative trait locus (QTL) mapping and genome-wide association studies (GWASs), highlighting their effective roles in identifying complex traits such as stress tolerance, yield, disease resistance, and nutrient efficiency. QTL mapping identifies the significant genetic regions linked to desired traits, while GWASs enhance precision using larger populations. The integration of high-throughput phenotyping has further improved the efficiency and accuracyof QTL research and GWASs, enabling precise trait analysis across diverse conditions. Additionally, next-generation sequencing, clustered regularly interspaced short palindromic repeats (CRISPR) technology, and transcriptomics have transformed these methods, offering profound insights into gene function and regulation. Single-cell RNA sequencing further enhances our understanding of plant responses at the cellular level, especially under environmental stress. Despite this progress, however, challenges persist in optimizing methods, refining training populations, and integrating these tools into breeding programs. Future studies must aim to enhance genetic prediction models, incorporate advanced molecular technologies, and refine functional markers to tackle the challenges of sustainable agriculture.
AI Pair Programming Acceptance: A Value-Based Approach with AHP Analysis
(2024 10TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES, 2024) Caldag, Murat Tahir
The emergence of Artificial Intelligence ( AI) tools is transforming every aspect of life with new opportunities and risks. An impact of AI tools can be seen in AI pair programming which is defined as a generative and creative support tool with real-time interaction. The goal of this study is to explore the AI pair programming acceptance. To identify, describe, categorize, and rank the factors affecting the acceptance of AI pairs a literature review, a research model proposal based on an extension of the Value-based Adoption Model (VAM) framework, and an Analytic Hierarchy Process (AHP) analysis is conducted. The proposed model consists of six main factors and twenty-two sub-factors which are validated with an AHP analysis including eleven experts' judgments. The findings presented the most essential factors as productivity, code accuracy, complexity, personal development, and innovativeness. The least significant factors were inspiration, motivation, intellectual property violation, AI interaction, and trust. This study provides insight to AI tool developers and producers in the context of programming on the key factors to consider for success.
An Algorithmic Approach To Portfolio Construction: A Turkish Stock Market Case
(BORSA ISTANBUL REVIEW, 2024-11) Gulsen, Mehmet; Yildiz, Burak
The goal of building a diversified portfolio is to mitigate risks and manage risk-reward tradeoffs. Diversification is also crucial for ensuring the long-term success of a portfolio. Although passive investment has been on the rise in most developed markets, it has not gained wider acceptance in some emerging markets, such as T & uuml;rkiye. This study proposes an approach to construct a diversified portfolio that serves as a passive investment tool in the context of the Turkish stock market. Despite the long history of equity markets in T & uuml;rkiye, almost all available passive investment alternatives are prohibitively expensive, unlike those in developed markets. We design a simple methodology that addresses the essential components of building a successful portfolio while avoiding excessive fees. Additionally, we propose a dynamic balancing strategy that algorithmically adjusts the weight of each stock in the portfolio. We test this approach with historical data, demonstrating that it can achieve reasonable returns with minimal effort. Even when its performance does not beat the benchmark, the percentage deviation is still below the management fees charged for alternative investments.
An Econophysics Perspective on Green Bonds and Stock Market Nexus: Can Green Finance be an Investment Option for Emerging Stock Markets?
(Başkent Üniversitesi İktisadi İdari Bilimler Fakültesi, 2024-03-28) Acikgoz, Turker
Green bonds are one of the most fascinating financial innovations that offer a solution to climate change and sustainable development from the financial point of view. In this study, we employ methods from statistical physics to examine the multifractal features of cross-correlations between green bonds and emerging stock markets. Utilizing multifractal detrended cross-correlation analysis (MFDCCA) on return and volatility series, our findings reveal significant cross-correlations between green bonds and emerging stock markets. The MFDCCA results uncover multifractal features and long-range cross-correlations between the two assets. Notably, volatility cross-correlations exhibit persistent behavior, while return cross-correlations vary across small and large fluctuation periods. These findings hold practical implications for policymakers and investors involved in green bonds and emerging stock markets.
An Effective Optimization Method for Integrated Scheduling of Multiple Automated Guided Vehicle Problems
(TSINGHUA SCIENCE AND TECHNOLOGY, 2024-10) Sang, Hongyan; Li, Zhongkai; Tasgetiren, M. Fatih
Automated Guided Vehicle (AGV) scheduling problem is an emerging research topic in the recent literature. This paper studies an integrated scheduling problem comprising task assignment and path planning for AGVs. To reduce the transportation cost of AGVs, this work also proposes an optimization method consisting of the total running distance, total delay time, and machine loss cost of AGVs. A mathematical model is formulated for the problem at hand, along with an improved Discrete Invasive Weed Optimization algorithm (DIWO). In the proposed DIWO algorithm, an insertion-based local search operator is developed to improve the local search ability of the algorithm. A staggered time departure heuristic is also proposed to reduce the number of AGV collisions in path planning. Comprehensive experiments are conducted, and 100 instances from actual factories have proven the effectiveness of the optimization method.
An Essential Problem in Antimicrobial Stewardship: Multi-Drug-Resistant Gram-Negative Bacterial Infection in the Intensive Care Unit
(Başkent Üniversitesi, 2024-02-01) Pehlivanli, Aysel; Ozgun, Cigdem; Yuksel, Didem; Solmaz, Firdevs Gonca Sasal; Ozcelikay, Arif Tanju; Unal, Mustafa Necmettin
An Evaluation of the Relationship Between the Mesiobuccal Canal Configuration, the Interorifice Distance, and the Root Lengths of the Permanent Maxillary First Molars with Cone Beam Computed Tomography
(DIAGNOSTICS, 2024-12) Ozemre, Mehmet Ozgur; Karslioglu, Hazal; Kamburoglu, Kivanc
Background/Objectives: This study aimed to investigate the relationship between the mesiobuccal root canal configuration (MB RCC), the interorifice distance (IOD) and the corresponding root and other root lengths of the permanent maxillary first molars; Methods: Cone beam computed tomography (CBCT) images were acquired between 2020 and 2023 for different purposes unrelated to this study. Overall, 1550 CBCT images were retrospectively evaluated. A dentomaxillofacial radiologist with 15 years of experience evaluated the CBCT images and performed the measurements; Results: According to the MB RCC, there was no statistically significant difference between the Vertucci type II and Vertucci type IV groups in terms of the mean age and sex distribution (p = 0.694 and p = 0.273). There was no statistically significant difference in the IOD between the MB RCC groups (p = 0.755). Moreover, according to the MB RCC, there was no statistically significant difference between the Vertucci type II and Vertucci type IV groups in terms of the mesiobuccal, distobuccal, palatinal, and mean root lengths (p > 0.05); Conclusions: There was no association between the IOD and the type of RCC in the maxillary first molars. New studies conducted by collecting data from different centers to explore the different morphological features of maxillary first molars and detect their anatomical differences will provide more reliable and accurate results.
Anatomy Education at Vocational Schools of Health Sciences
(INTERNATIONAL JOURNAL OF MORPHOLOGY, 2024-12) Polat, Sema; Sonmez, Elif Ipek; Tunc, Mahmut; Isik, Emir Ibrahim; Ozsahin, Esin; Goker, Pinar
Anatomy, which has an important role for professionals working in health education, is a medical science that started from early ages and has come to the present day by showing continuous development. The success of people who areed ineducat the field of medicine and health sciences in their professions depends on a sound background in anatomy. For this reason,s aimed it wa to investigate views of first and second year students on the current state of anatomy education. This study was performed ukurvaon C and Baskent University Vocational School of Health Science first and second year students (183 subjects, 45.6 %; and 218 subjects, 54.4 %, respectively) (n=401). The data were obtained by feedback method via a questionnaire with 41 questions. The survey was administered to 401 students. 357 subjects of all students stated that they chose their departments voluntarily. It was determined % thatof the86.0 students participated in the research stated that using many different tools in the lessons positively affected their 88.5 learning,% stated that various presentation techniques provided a better understanding of the anatomy subject, and 86.5 % of the studentswith agreed the idea that what they learned in the lessons would be very useful in their professional lives. Additionally, while 319 participants (79.55 %) gave a score of 5 or more out of 10 points to the question about whether they liked the anatomy course, 82 participants%) (20.45 gave a score of 4 or less. The 71.1 % of the participants thought that the primary purpose of the anatomy course was 'to theunderstand structure of the human body'. 2nd year students rated class duration significantly higher than 1st year students. Opinionstudents of s can be beneficial and provide to improvement of anatomy education and new educational strategies These findings will help theifyingident existing deficiencies and providing solutions.