Gümüşhane ÜniversitesiGümüşhane ÜniversitesiAçık Erişim Arşivi · RDL Open

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  • MakaleAçık Erişim2024
    The impact of implementing backbone architectures on fracture segmentation in X-ray images

    Turk, Salih; Bingol, Ozkan; Coskuncay, Ahmet; Aydin, Tolga

    X-ray imaging is widely utilized for the detection of bone fractures due to its affordability, rapid processing capabilities, broad accessibility, and ease of use. Despite these advantages, the intricate analysis of X-ray images necessitates advanced computational techniques to fully exploit their rich informational content. Notably, accurate segmentation of these images plays a critical role in aiding medical professionals with precise diagnoses and effective treatment planning. This study examines the impact of integrating different backbone architectures for the task of fracture segmentation in X-ray images. Specifically, the research focuses on enhancing the widely-used DeepLabV3 model by incorporating pre-trained networks such as ResNet50, ResNet101, and MobileNetV3 into the encoder component to improve feature extraction and segmentation accuracy. The FracAtlas dataset, which presents unique challenges due to its small size and the diversity of fractures from various anatomical regions, was employed for model evaluation. Data augmentation techniques were implemented to expand the dataset, and an additional subset focusing on cropped images of fracture areas was developed. The models were trained over 50 epochs, and their performance was assessed using metrics such as Intersection over Union (IoU), loss values, and Dice scores. The results indicate that the DeepLabV3 model with ResNet-based backbones achieved IoU values exceeding 0.93 on the original dataset and demonstrated outstanding performance on the augmented and cropped datasets, with AUC values reaching up to 0.99. The study also highlights the computational complexity of the models, with ResNet101 exhibiting the highest time complexity, while MobileNetV3 was the most efficient in terms of processing time and memory consumption.

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  • MakaleAçık Erişim2024
    Optimizing Advanced High-Strength Steel Joints via Regional Rapid Cooling in Resistance Spot Welding

    Hıdıroglu, Mehtap; Aydın, Kemal; Kahraman, Nizamettin

    During resistance spot welding (RSW), the thermal cycles that occur cause microstructural differentiations in the heat-affected zones of martensitic steels, leading to internal stresses. In this context, a new and innovative methodology has been developed to minimize the adverse effects of heterogeneous hardness changes in the welding area on joint durability. This methodology utilizes a unique prototype setup based on the regional rapid cooling (RRC) process, which is integrated into the welding machine and operates in synchronization with the machine during the process. Through this setup, the aim is to effectively control the microstructure and hardness values in the welding area. This innovative approach presents potential improvements in the field of welding technology by aiming to optimize material performance during the welding process. According to microstructure results, the RRC process has narrowed the heat-affected zone to 1.27 mm, increased the hardness values by 9.2%, showed a 3% increase in tensile-shear strength, a 9% increase in cross-tension strength, and based on fatigue strength results, no fractures occurred in all specimens subjected to a force of 0.3 kN.

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  • MakaleAçık Erişim2024
    Innovations in dairy technology: probiotics in Turkish white cheese production

    Mazlum, Halit; Atasever, Mustafa

    Cheese offers significant advantages as a probiotic carrier food compared to fermented milk and yoğurt due to its fat content, solid matrix, higher pH, low oxygen levels, and longer shelf life. This study examined Turkish white cheeses ripened with both classical starter culture (Lactococcus lactis subsp. lactis and Lactococcus lactis subsp. cremoris) and various probiotic cultures (Lactobacillus acidophilus, Lactobacillus casei, Lactobacillus paracasei, and Bifidobacterium bifidum). The quality and functional properties of these cheeses were investigated to evaluate the effect of adding probiotics to traditional starter culture and their potential for use as carrier food for probiotics. During the 90-days ripening period, the numbers of L. acidophilus, L. casei, L. paracasei, and B. bifidum were determined to be in the range of 8.09 ± 0.34–8.65 ± 0.30, 7.19 ± 0.28–8.12 ± 0.90, 7.01 ± 1.45–8.73 ± 0.98, and 7.16 ± 1.10–8.21 ± 1.19 log cfu/g, respectively. The study found that probiotic levels in the cheese remained above the effective threshold (≥ 107 cfu/g) throughout the ripening process. This was accompanied by an increase in water-soluble nitrogen, an indicator of proteolysis, leading to higher ripening index values in all cheese samples. In terms of sensory evaluation, cheeses with L. acidophilus and L. paracasei were particularly well-received, scoring higher (7.90 ± 0.30–8.47 ± 0.12, 7.80 ± 0.34–8.75 ± 0.12, respectively) in taste and aroma than the others. Overall, probiotics positively influenced the quality and functional properties of the white cheese. Notably, the L. casei ATCC 393 strain, used for the first time in Turkish white cheese production, proved highly compatible with existing production technologies. It was concluded from the study that Turkish white cheese is a suitable food for transporting probiotics to the intestinal environment.

    • SDG 2 · Açlığa Son
    • SDG 3 · Sağlık ve Kaliteli Yaşam
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  • MakaleAçık Erişim2024
    Different gait combinations based on multi-modal deep CNN architectures

    Yaprak, Büşranur; Gedikli, Eyüp

    Gait recognition is the process of identifying a person from a distance based on their walking patterns. However, the recognition rate drops significantly under cross-view angle and appearance-based variations. In this study, the effectiveness of the most well-known gait representations in solving this problem is investigated based on deep learning. For this purpose, a comprehensive performance evaluation is performed by combining different modalities, including silhouettes, optical flows, and concatenated image of the Gait Energy Image (GEI) head and leg region, with GEI itself. This evaluation is carried out across different multimodal deep convolutional neural network (CNN) architectures, namely fine-tuned EfficientNet-B0, MobileNet-V1, and ConvNeXt-base models. These models are trained separately on GEIs, silhouettes, optical flows, and concatenated image of GEI head and leg regions, and then extracted GEI features are fused in pairs with other extracted modality features to find the most effective gait combination. Experimental results on the two different datasets CASIA-B and Outdoor-Gait show that the concatenated image of GEI head and leg regions significantly increased the recognition rate of the networks compared to other modalities. Moreover, this modality demonstrates greater robustness under varied carrying (BG) and clothing (CL) conditions compared to optical flows (OF) and silhouettes (SF). Codes available at https://github.com/busrakckugurlu/Different-gait-combinations-based-on-multi-modal-deep-CNN-architectures.git

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  • MakaleAçık Erişim2024
    EVALUATION OF UNMET HEALTH NEEDS IN EUROPEAN UNION COUNTRIES: 2020-2021; [Évaluation des besoins de santé non satisfaits dans les pays de l’Union européenne: 2020-2021]

    Köse, Aslı

    The objective of the study. This study aimed to evaluate the effect of unmet health needs in European Union countries on Healthy Life Expectancy in 2020-2021 and determine the grouping of countries in this period. Material and methods. The study used unmet health needs data from the Eurostat database. Two models were created by path analysis using structural equation modeling. The impact of unmet health needs on life expectancy in 2020-2021 was evaluated. The cluster analysis grouped the European Union countries according to their unmet health needs. Results. The primary factor with the highest average contributing to unmet health needs in 2020-2021 was the absence of a requirement to report health issues. Among the reasons for postponing health needs in 2020-2021, the criterion of “absence of specialists” was determined to be the criterion with the lowest average. According to the cluster analysis, the most similar countries are the Netherlands and Austria, Albania and Serbia, while the least similar are Bulgaria and Belgium, Estonia and Belgium. Conclusions. During the pandemic, individuals gave up receiving health services due to their fear of catching COVID-19. It has been determined that unmet health needs did not affect life expectancy for 2020. In 2021, there was a statistically significant relationship between the “no need to report” unmet health need criterion and Healthy Life Year Expectancy. This study determined the “expensive, remote and transportation” criterion, which has the second highest average among the reasons for unmet health needs.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
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  • Derleme MakaleYayıncıda açık erişim2024
    An overview memristor based hardware accelerators for deep neural network

    Gökgöz, Baki; Gül, Fatih; Aydın, Tolga

    The prevalence of artificial intelligence applications using artificial neural network architectures for functions such as natural language processing, text prediction, object detection, speech, and image recognition has significantly increased in today's world. The computational functions performed by artificial neural networks in classical applications require intensive and large-scale data movement between memory and processing units. Various software and hardware efforts are being made to perform these operations more efficiently. Despite these efforts, latency in data traffic and the substantial amount of energy consumed in data processing emerge as bottleneck disadvantages of the Von Neumann architecture. To overcome this bottleneck problem, it is necessary to develop hardware units specific to artificial intelligence applications. For this purpose, neuro-inspired computing chips are believed to provide an effective approach by designing and integrating a set of features inspired by neurobiological systems at the hardware level to address the problems arising in artificial intelligence applications. The most notable among these approaches is memristor-based neuromorphic computing systems. Memristors are seen as promising devices for hardware-level improvement in terms of speed and energy because they possess non-volatile memory and exhibit analog behavior. They enable effective storage and processing of synaptic weights, offering solutions for hardware-level development. Taking into account these advantages of memristors, this study examines the research conducted on artificial neural networks and hardware that can directly perform deep learning functions and mimic the biological brain, which is different from classical systems in today's context.

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  • MakaleAçık Erişim2024
    Investigation of aroma components obtained by HS-SPME (Headspace-solid phase microextraction) method of wild strawberry (Fragaria vesca L.) and strawberry (Fragaria x ananassa Duch.) fruits; [Dağ çileği (Fragaria vesca L.) ve çilek (Fragaria x ananassa Duch.) meyvelerinin HS-SPME (Tepe boşluğu katı faz mikro ekstraksiyonu) yöntemi ile elde edilen aroma bileşenlerin araştırılması]

    Öz, Mehmet; Baltaci, Cemalettin; Fidan, Muhammed Said

    Wild strawberries (Fragaria vesca) are in the category of non-wood forest products due to their unique fragrance, aroma, and natural ability to grow. In this study, aroma components of wild strawberry (Fragaria vesca) and strawberry (Fragaria x ananassa) fruits were determined by Headspace-Solid Phase Micro-Extraction technique combined with Gas Chromatography-Mass Spectrometry (HS-SPME/GC-MS). In addition, it aimed to compare the results of both fruits with each other by chemical classification of the aroma components determined from wild strawberry and strawberry fruits. As a result of the HS-SPME/GC-MS analysis; 50 and 76 aroma components were determined in wild strawberry and strawberry fruits, respectively. The structure of aroma components was defined as 97.63% of wild strawberries and 98.26% of strawberries. The main components in the aroma compounds are 2-undecanone (10.38%), γ-decalactone (8.81%), and eugenol (7.14%) in wild strawberry fruit; nerolidol (29.44%), γ-decalactone (26.36%) and bisabolol oxide II (4.23%) were found in strawberry fruits. In addition, chemical classes of identified aroma compounds were determined as ester, terpene or terpenoid, fatty acids, aldehyde, and ketone classes in Fragaria vesca and Fragaria x ananassa fruits. When the results are examined, it is seen that strawberry fruits are found to be higher than wild strawberry fruits in terms of percentage of aroma components, number of aroma components, and percentage of dominant components.

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  • MakaleAçık Erişim2024
    Enhancing the performance of parabolic trough solar collectors: Cost-effective innovative designs for sustainable energy harvesting

    Karaağaç, Mehmet Onur; Akıncı, Burak; Ergün, Alper

    This study aims to improve the performance and stability of parabolic trough solar collectors (PTSC), especially those with heat storage capacity. Three different receiver tube designs have been meticulously developed to achieve this goal. As a result of the research, the Black surface (BS) -PTSC and PTSC- Paraffin wax (PW) systems achieved 26.5% and 56.8% more thermal energy flow, respectively, compared to the conventional PTSC. In addition, while the average thermal efficiencies of the PTSC, BS-PTSC, and PTSC-PW systems were found to be 11.2%, 14.1%, and 16.9%, respectively, the average exergy efficiencies of the PTSC, BS-PTSC, and PTSC-PW were 1.4%, 1.9%, and 2.3%. Painting the black copper pipe and filling the receiver tube with paraffin wax PCM increased thermal and exergy efficiency. Besides, comparing the temperature differences based on the PTSC system, it was found that BS-PTSC and PTSC-PW systems have 12.3% and 16.4% higher tank temperatures, respectively. The findings of this research have demonstrated the potential of parabolic trough solar collectors equipped with heat storage. It has also increased the sustainability index in terms of sustainability and reduced CO2 emissions into the atmosphere. Furthermore, it has been shown that these simple and inexpensive designs, without significant modifications to the system, can achieve high thermal performance without unnecessary expensive components.

    • SDG 7 · Erişilebilir ve Temiz Enerji
    • SDG 12 · Sorumlu Üretim ve Tüketim
    • SDG 13 · İklim Eylemi
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  • MakaleAçık Erişim2024
    Corrosion and adhesion properties of MAO-coated LA91 magnesium alloy

    Sukuroglu, Suleyman; Sukuroglu, Ebru Emine; Totik, Yasar; Gulten, Gokhan; Efeoglu, Ihsan; Avci, Selcuk

    Magnesium–lithium alloy is used in different areas of industry and is known as a super light metallic engineering material. However, the use of these alloys is limited due to their surface properties under extreme loads and aggressive environments. Surface treatments can be applied to these alloys to increase their usage areas and improve their weak surface properties. In this study, the micro-arc oxidation method was applied to improve the surface properties of LA91 alloy. The corrosion and adhesion behaviour of the coated samples were investigated. The lowest corrosion current density in the coatings was obtained under Experiment 3. Experiment 3 has the highest Lc2 value due to the coating thickness and the denser and smaller diameter pores of the functional intermediate layer.

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  • MakaleAçık Erişim2024
    Accuracy assessment of UAV-based documentation of archaeological site: Kültepe-Kaneš

    Günen, Mehmet Akif; Kulakoğlu, Fikri; Besdok, Erkan

    High quality 2D/3D metric documentation of archaeological sites is used in many different applications such as archaeological-heritage management, digital archaeological excavation planning, orthophotographic documentation, and ancient Digital Surfaces Models (DSM) research. Structure-from-Motion based photogrammetry (SfM) is an indirect geodesic measurement technique based on multiple view image processing using high-level automation techniques. Using SfM to generate the high accuracy 2D/3D data needed for digital documentation of archaeological cultural heritage is relatively practical, economical, and fast. Factors such as the number of ground control points and their distribution to the study area, the robustness of the camera system model parameters, and the analytical model of the photogrammetric triangulation method used affect the accuracy of the data produced using SfM-photogrammetry. Kültepe-Kaneš, the center of the ancient Kingdom of Kaneš, which is located in central-Anatolia, was an Assyrian Trade Colony active between ca. 2000 BC and 1700 BC. The site, which was the center of the Old Assyrian trade colonies in Anatolia and one of the most important sites in ancient history, has been under excavation for the last 75 years. In this paper, high accuracy digital documentation of the Kültepe-Kaneš archaeological excavation area was made using different SfM methods. Statistical analysis revealed no significant difference in accuracy between Real-Time Kinematic (RTK) and Post-Process Kinematic (PPK) methods for the study area. This suggests that either PPK, RTK, or aerial triangulation with Ground Control Points (GCPs) can be employed to generate orthophotos and DSMs for archaeological sites with relatively flat surface areas, as long as a sufficient number of uniformly distributed GCPs are used.

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  • MakaleYalnız künye2024
    The effect of a serious game-based web application on stoma care education for nursing students: A randomized controlled trial

    Kulakaç, Nurşen; Çilingir, Dilek

    Aim: This study was carried out in a randomized controlled manner to determine the effect of a serious game based web application on stoma care education for nursing students. Method: The learning styles and digital game motivation levels of the students in the study were determined, and aprior knowledge test was performed. While the website of the serious game-based application was open to the access of the intervention group for two weeks, no intervention was made for the control group. Second knowledge and skil lmeasurements were performed after two weeks for all students in the study, and evaluations of retention were performed four weekslater. Findings: The analyses revealed that the second and retention stoma care and colostomy irrigation knowledge test and skill scores of the intervention group were significantly higher than those of the control group (p<0.05). Conclusion: As the students' time to use the serious game increased, their knowledge tests and skill scores also increased significantly. Therefore, it was concluded that serious game technology had a positive effect on teaching nursing students the practice of stoma care.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    • SDG 4 · Nitelikli Eğitim
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  • MakaleAçık Erişim2024
    Convergence and data dependence results of the nonlinear Volterra integral equation by the Picard's three step iteration

    Cona, Lale

    Picard's three step iteration algorithm was one of the iteration algorithms that was recently shown to be faster than some other iterative algorithms in the existing literature. The purpose of this paper was to study using this iteration algorithm for the solution of nonlinear Volterra integral equations. It was investigated that the sequences obtained from this iteration algorithm converged to the solution of nonlinear Volterra integral equations. Moreover, data dependence was obtained for nonlinear Volterra integral equations. An example was given that confirmed the applicability of the newly proven theorems.

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  • MakaleAçık Erişim2024
    Evaluation of microbiological, antioxidant, thermal, rheological and sensory properties of ice cream fermented with kefir culture and flavored with mint (Menthaspicata L.)

    Öztürk-Yalçın, Feyza; Ürkek, Bayram; Şengül, Mustafa

    Kefir is a healthy fermented dairy product, while ice cream is one of the most consumed dairy products. In this research, ice cream was fermented using a commercial kefir culture and flavored with a mint aroma in different proportions: 0% (KI), 0.2% (KIM2), 0.4% (KIM4), and 0.6% (KIM6). The study investigated the microbiological, thermal, rheological, textural, compositional, and sensory properties as well as antioxidant activity of kefir ice cream samples during 45-day storage. The lactic bacilli, lactic cocci, and Leuconostoc counts of samples were >7 log CFU/g, while the yeast counts were <4 log CFU/g. The microbiological properties (except for yeast counts) of the samples were coherent with legal limits. Antioxidant values (except for samples KIM2 and KIM6) values did not indicate significant differences (p <.05). The pH and melting rate values of the samples decreased with the addition of mint flavor, while acidity values increased. The addition of mint aroma caused significant changes in the thermal properties of ice cream. The overrun, a*, WI, and hardness values of the samples decreased based on the mint flavor concentration, whereas the viscosity and rheological increased. Samples KI and KIM2 were scored higher than other samples for all sensory properties. As a result, fermented ice cream flavored (0.2% mint) with mint could be produced as a desirable dairy product with potential functional properties.

    • SDG 2 · Açlığa Son
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  • MakaleAçık Erişim2024
    STRATEGIC FLASHPOINTS: NATO’S CONTAINMENT OF RUSSIA IN THE BLACK SEA AND ARCTIC REGIONS; [Puncte fierbinți strategice: îngrădirea Rusiei de către NATO în zona Mării Negre și în regiunea arctică]

    Aksoy, Metin; Limon, Onur; Limon, Elif Gürdal

    This study examines the strategic significance of NATO’s containment policy in the Black Sea and Arctic regions and its impact on Russia’s geopolitical and military responses. These areas, once peripheral to play only a minor role in global security dynamics, have become critical flashpoints because of NATO enlargement and increasing Russian aggression. By applying George Kennan’s containment theory to NATO’s post-Cold War strategy, this study examines how NATO’s actions have contributed to the escalation of tensions in these regions. The analysis addresses the challenges and risks NATO faces in maintaining its containment approach and offers insights into the future relationship between NATO and Russia.

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  • MakaleAçık Erişim2024
    Performance of differently arranged double-tuned mass dampers for structural seismic response control including soil-structure interaction

    Araz, Onur; Elias, Said

    Reducing vibrations occurring in structures under environmental loads makes a significant contribution to the development of structural safety. Tuned mass dampers (TMD) are one of the systems commonly used to control structural vibrations. Since TMD is adjusted according to the dominant frequency of the structure, factors that may cause changes in the frequency of the structure can significantly reduce the effectiveness of TMD. One of the main factors that can cause changes in the frequency values of the structure is the interaction between the structure and the soil. To overcome this situation, it is recommended to apply control systems consisting of multiple TMDs (MTMD) to the main structure instead of a single TMD. MTMD systems are arranged in two different types, serial and parallel. In this paper, a methodology that considers the structure-soil interaction (SSI) is presented for the optimum design of control systems with different configurations placed on a main structure under the influence of ground motion. To research the SSI effects, the TMDs-structure coupled system is supported by rocking and swaying springs and the corresponding dashpots, and then the equations of motions of the structural system are derived. In the optimization process based on particle swarm optimization in the frequency domain, different soil types, configuration types, and mass ratios are considered. The efficiency of optimum TMDs arranged in series and parallel is also evaluated using near and far fault ground motions in the time domain. Numerical results show that if structures are constructed on soils with low shear wave velocities, ignoring SSI can significantly change the design parameters and effectiveness of the control system.

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  • MakaleAçık Erişim2024
    On solutions of time fractional order random HIV/AIDS modelling

    Merdan, Mehmet; Öktem, Selami

    In this study, The fractional random HIV/AIDS model approximate analytical solutions were produced using the differential transformation method. The approximate analytical solution of the fractional order Random HIV/AIDS model was obtained with the help of the differential transformation method. For the fractional random HIV/AIDS model, which was created by choosing the initial conditions from the exponential, beta, and normal distributions, graphic simulations of the expected value, variance, and confidence intervals of the most commonly used probability characteristics were obtained with the help of the MATLAB package program. Results obtained are interpreted.

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  • MakaleAçık Erişim2024
    Investigation of nurses’ general attitudes toward artificial intelligence and their perceptions of ChatGPT usage and influencing factors

    Tuncer, Gülsüm Zekiye; Tuncer, Metin

    Purpose: This study aimed to investigate professional nurses’ general attitudes toward artificial intelligence, their knowledge and perceptions of ChatGPT usage, and the influencing factors. Methods: The population of the research consists of nurses who follow a social media platform account in Turkey. The sample of the study consisted of 288 nurses who participated in the study between December 2023 and March 2024. Data were collected through an account on a social media platform via Google Forms using the Information Identification Questionnaire for ChatGPT and Artificial Intelligence Programs and the General Attitudes to Artificial Intelligence Scale (GAAIS). Results: The mean scores obtained from the overall GAAIS and its Positive Attitudes subscale from the participants in this study were 67.54 ± 13.14 and 41.89 ± 11.24, respectively. Of the participants, 48.3% knew about ChatGPT and artificial intelligence programs. Of the participants, 27.8% used ChatGPT and artificial intelligence programs. Their scores for the Positive Attitude subscale were higher than were the scores of those who did not use such programs. Of the participants, 84.4% thought that nurses should be made aware of ChatGPT and artificial intelligence programs, 67% thought that the use of these programs would contribute to nurses’ professional development, 42.4% thought that the use of these programs would not reduce nurses’ workload, and 58.3% thought that the use of these programs would positively affect patient care. Conclusion: In this study, it can be said that nurses in Turkey have positive attitudes toward integrating ChatGPT and AI programs to improve patient outcomes and add them to nursing practices. Implications for nursing practice: The present study in which nurses’ attitudes toward the implementation of ChatGPT and artificial intelligence programs were investigated is expected to provide information for healthcare institutions, policy makers and artificial intelligence developers on the integration of ChatGPT and artificial intelligence into nursing practice. It is necessary to create environments that use AI technologies that reduce the nursing workload of nurses in the clinical area and positively affect the quality of patient care.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
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  • MakaleYayıncıda açık erişim2024
    Economic impact of local geographical indication products on farmers: a case of Kelkit sugar (dry) beans

    Dogan, Nilgun

    This study aims to present the economic impact of the production of local Geographical Indication (GI) products on producers based on the example of GI Kelkit sugar (dry) beans. Kelkit sugar beans, which are cultivated using local seeds, are legume products with white seeds and pink spots. Sugar beans grown around the Kelkit district of Gümüşhane were registered as a geographical indication product by the Turkish Patent and Trademark Office (TPO) in 2020. This study seeks to answer the question of how the production of Kelkit sugar beans, which are mainly marketed with a geographical indication label, affects producer welfare. The target group of the research consists of farmers living in the Kelkit, Siran, and Kose districts of Gümüşhane who use GI-labelled seeds and do not use GI-labelled seeds in beans production. Propensity Score Matching was employed to determine the economic impact of the production of local geographical indication products on producers. The results indicate that the agricultural enterprises participating in the Kelkit sugar beans production program using geographical indication seeds have lower gross output and gross profit per unit area than those who did not participate in the program.

    • SDG 1 · Yoksulluğa Son
    • SDG 2 · Açlığa Son
    • SDG 8 · İnsana Yakışır İş ve Ekonomik Büyüme
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  • MakaleAçık Erişim2024
    Atomic Comagnetometer Gyroscopes for Inertial Navigation Systems: A Review

    Karabi̇Naoğlu, Murat Salim; Çakir, Bekir; Başoğlu, Mustafa Engin

    In recent years, developments in quantum sensing, laser, and atomic sensor technologies have also enabled advancement in the field of quantum navigation. Atomic-based gyroscopes have emerged as one of the most critical atomic sensors in this respect. In this review, a brief technology statement of spin exchange relaxation free (SERF) and nuclear magnetic resonance (NMR) type atomic comagnetometer gyroscope (CG) is presented. Related studies in the literature have been gathered, and the fundamental compositions of CGs with technical basics are presented. A comparison of SERF and NMR CGs is provided. A basic simulation of SERF CG was carried out because of its high theoretic bias stability limit. Besides, some highly critical challenges for CGs were examined and reported with compensation methods. The objective of this review is to offer a guide for researchers to develop high-precision atomic gyroscopes and to encourage further research.

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  • MakaleAçık Erişim2024
    The impact of the Ukraine war on Russian military capabilities in the Arctic

    Limon, Onur; Gürdal Limon, Elif

    This study examines the impact of the two-year occupation of Ukraine on Russia’s military capabilities in the Arctic and analyzes the strengths and weaknesses of Russia’s military capacity in this region. Using a methodology based on document analysis and SWOT analysis, the study aims to unravel the intricate interplay between the Ukraine conflict and Russia’s military aspirations in the Arctic and thereby improve our understanding of the military implications of these developments. The results of the study highlight a remarkable imbalance in Russia’s military capabilities in the vast Arctic region, which stretches across the western, central, and eastern sectors. The ongoing conflict in Ukraine is acting as a catalyst, forcing Russia to strengthen its conventional forces and improve its military readiness in the immediate future. As a result, there is a discernible inclination to prioritize nuclear capabilities as part of Russia’s strategic calculus in the Arctic region.

    • SDG 16 · Barış, Adalet ve Güçlü Kurumlar
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