Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Uzun, Sevda(7)
- Araz, Onur(6)
- Ozdes, Duygu(6)
- Duran, Celal(5)
- Şahin, Rıdvan(5)
- Kankal, Murat(4)
- Reis, Hatice Catal(4)
- Saydam Eker, Çiğdem(4)
- Şan, Murat(4)
- Alemdag, Selcuk(3)
- Anaç, Halil(3)
- Cakir, Tufan(3)
- Günen, Mehmet Akif(3)
- Ozturk, Kasif Furkan(3)
- Turk, Veysel(3)
- Çelik, Orkun(3)
- Öztürk, Serkan(3)
- Adali, Zafer(2)
- Alemdağ, Selçuk(2)
- Alkan, Hamdi(2)
- Aydin, Aydanur(2)
- Baltacı, Cemalettin(2)
- Bayram, Adem(2)
- Büyüksaraç, Aydın(2)
- Catal Reis, Hatice(2)
- Cebi, S.(2)
- Cevik Onar, S.(2)
- Dağ, Serhat(2)
- Ekici, Lutfiye(2)
- Gül, Abdulkadir(2)
- Kahraman, C.(2)
- Kahraman, Muhammet Mustafa(2)
- Karatas, Seyda Merve(2)
- Kaya, Ayberk(2)
- Khoshelham, Kourosh(2)
- Köseoğlu, Ali(2)
- Melek, Mesut(2)
- Merdan, Mehmet(2)
- Nacar, Sinan(2)
- Ozeken, Sengul Tugba(2)
Yayınlar
- MakaleYalnız künye2025Scopus SJRQ3Kinetics and Isotherm Evaluation for Adsorptive Removal of Anionic and Cationic Dyes from Aqueous Media by Sulfuric Acid-Modified Beech Sawdust
Ozdes, Duygu; Ozeken, Sengul Tugba; Top, Yener; Kalkisim, Ozgun; Duran, Celal
A novel and efficient adsorbent was prepared by modifying Fagus orientalis L. (beech) sawdust with H2SO4. The adsorption behavior of H2SO4-modified beech sawdust (SMBS) was investigated by batch experiments to offer a straightforward, inexpensive, and effective method for the retention of anionic and cationic model dyes, indigo carmine (IC) and methylene blue (MB), from wastewater. The experimental conditions were optimized by investigating the effects of the initial pH, initial concentrations of IC and MB dyes, dosage of SMBS, period of the contact, and the presence of salts in the aqueous media on the adsorptive performance of SMBS. The initial pH values of the aqueous solutions, from which IC and MB dyes will be removed, were optimized as 2.0 and 6.5 (natural), respectively. The optimum contact time for the adsorption of both dyes onto SMBS was determined to be 240 min. The mechanisms in the adsorption of IC and MB onto SMBS were investigated by evaluating the experimental data through different isotherm and kinetic models. The Langmuir isotherm model and pseudo-second order kinetic model performed well in explaining the mechanism of adsorption. Langmuir monolayer adsorption capacity of SMBS adsorbent was 38.85 mg g−1 for IC and 58.82 mg g−1 for MB. As a result, CMCP exhibited excellent performance in adsorbing organic pollutants, providing a low-cost and easily prepared alternative to other adsorbents found in the literature.
- MakaleYalnız künye2025Scopus SJRQ2First evaluation and ecological risk of potentially toxic elements in the formations of Akçakale cave (Gümüşhane-NE-Türkiye)
Saydam Eker, Çiğdem; Külekçi, Gökhan; Uçak, Gül
In this study, the potential toxic element levels (PTEs) and adverse health effects of Akçakale cave formations were evaluated using geochemical parameters such as enrichment factor (EF), geo-accumulation index (Igeo), contamination factor (CF), ecological risk factor (Eri), potential ecological risk index (PERI), and non-carcinogenic hazard index (HI). Water does not pose a pollution risk, as the concentrations of potentially toxic elements in all samples are within the permissible limits for drinking water. According to the calculated geochemical parameters, all the samples were polluted with As, Co, Ni, Cu, V, and Pb. Ni, As, Cu, and Pb show very high ecological risk (PER > 320) in all samples, except Cu and Pb in T2T. The PERI values of the PTEs were more than 600 in all samples, indicating a very high potential ecological risk. The HI > 1 values for Co and As in all samples for both adults and children suggested potential non-carcinogenic health risks from exposure to these elements in the cave environment. The PTEs in the Akçakale cave formation were most likely linked to lithogenic, geogenic (Pb–Zn-Cu mineralization), and anthropogenic (agricultural activities) processes, per the findings of the data analysis using multivariate statistics (PCA and PCC). These data obtained are the first findings regarding the potential toxic element content of Akçakale cave.
AtıfScopus2WoS2OpenAlex3İncele - MakaleYayıncıda açık erişim2025Scopus SJRQ2Statistical and seismotectonic analyses of the Marmara region under existing stress regime in the west of the NAFZ
Alkan, Hamdi; Öztürk, Serkan; Bektaş, Özcan; Büyüksaraç, Aydın
The Marmara Region is an active tectonic region in northwestern Türkiye, which comprises some important strike-slip active fault mechanisms and important tectonic units, located near the western part of the North Anatolian Fault Zone. In the historical and instrumental period, the Marmara Region experienced large/devastating earthquakes. Considering this continuous activity, in this study, we investigate the tectonic structure and performed future seismic hazard estimation of the region based on some seismotectonic parameters. For this evaluation, we plot the Coulomb stress change maps of 1912 Mürefte-Şarköy, 1953 Yenice-Gönen and 1999 İzmit mainshocks with the earthquakes (MW ≥ 4.5) that occurred in the study region after 2003. For the estimation of b-value, occurrence probabilities and return periods of earthquakes, we used a homogenous local seismicity catalogue consisting of 119.029 events for the period between 1912 and 2023. In the findings of this study, the lower b-values and increasing Coulomb stress changes which are trigger stress failure compatible are observed in the west and northwest of the Marmara Sea. In contrast, the higher/moderate b-values and decreasing Coulomb stress values are observed in the east and southeast of the Marmara Sea. The results of probability assessments show that an earthquake with Mw = 6.5 may occur with a probability of 98% in the west of the Marmara Sea after 2025. As a remarkable fact, a comprehensive assessment of these types of variables will supply important findings for earthquake hazard and potential in the study region.
AtıfScopus12WoS8OpenAlex11İncele - MakaleYalnız künye2025Scopus SJRQ2A Comprehensive Assessment for the Aftershock Sequence of August 11, 2012 Varzaghan-Ahar Doublet Mainshocks, NW Iran
Öztürk, Serkan; Yaghmaei-Sabegh, Saman
In this study, an evaluation of regional, temporal and magnitude properties of the August 11, 2012 Varzaghan-Ahar aftershock sequence was performed based on the different variables such as the Gutenberg-Richter b-value, the Modified Omori p-value, fractal dimension Dc-value and the maximum aftershock magnitude Mamax value which commonly used to describe aftershock behaviors. b-value was computed as 0.73 ± 0.03 for the study area where catalog has a completeness magnitude Mc = 2.0. This b-value is relatively small from typical b≈1 and it can be due to the abundance of aftershocks larger than Mw = 4 in the region. Structural heterogeneity of the seismic source along with the compressive stress situation of the aftershock area could be another reason for this finding as well. p-value was estimated as 1.00 ± 0.03 where c-value took 0.342 ± 0.106 according to the analysis which shows that the number of aftershocks of the Varzaghan-Ahar mainshock shows a relatively fast decrease. Dc-value was computed as 1.84 ± 0.07. This large value indicates homogeneously distributed aftershocks and more clustering in smaller areas or larger scales. As a result, the smallest b-values (< 0.7) and Mamax values larger than 5.0 were obtained around the mainshock. In addition, the biggest p-values (> 1.2) were found in and around the mainshock including Varzaghan. The areas having the biggest p-value and the lowest b-value have great coseismic deformation and stress, respectively. Hence, we can say that coseismic deformation and stress distributions are very effective on the b- and p-value changes. Thus, particular attention on assessing the aftershock hazard may be directed on the understanding of these spatio-temporal aftershock variables.
AtıfScopus2OpenAlex2İncele - MakaleAçık Erişim2025Scopus SJRQ2Insight into the adsorptive removal of Cr(VI) ions and 4-chlorophenol from aqueous media on cationic surfactant-modified cucumber peels
Ozeken, Sengul Tugba; Ozdes, Duygu; Duran, Celal
A new and cost-effective adsorbent material was developed by chemical modification of cucumber peels (CP) with a cationic surfactant, cetyltrimethylammonium bromide (CTAB). The adsorptive behavior of CTAB-modified cucumber peels (CMCP) was investigated in the retention of an organic pollutant (4-chlorophenol) and an inorganic pollutant (Cr(VI)) through batch experiments. The adsorbents were characterized by Fourier transform infrared spectroscopy (FTIR) analysis and scanning electron microscopy (SEM) technique. Influences of initial concentrations of both pollutants, dosage of CMCP, initial solution pH, contact time, and foreign ions were parameters used to specify the optimized conditions. Results of the experiments were evaluated by three kinetic models, namely pseudo-first-order, pseudo-second-order, and intraparticle diffusion models, to find out the dominant mechanisms in the retention of 4-chlorophenol and Cr(VI). Langmuir, Freundlich, and Dubinin–Radushkevich isotherm models were applied to the adsorption data to estimate the adsorption capacity of CMCP and to describe the interactions between the species. Langmuir isotherm model fitted the data well, and the maximum Cr(VI) and 4-chlorophenol adsorption capacities of CMCP were 84.03 mg g−1 and 107.5 mg g−1, respectively. Consequently, CMCP demonstrated outstanding performance in the adsorption of both inorganic and organic pollutants, offering a low-cost, easily prepared alternative to other adsorbents reported in the literature.
AtıfScopus3WoS3OpenAlex3İncele - BildiriYalnız künye2025Scopus SJRQ4A Novel BPA Derivation Method Using Linguistic Fuzzy Sets in Dempster-Shafer Theory
Başkan, Elif; Şahin, Rıdvan; Kahraman, C.; Oztaysi, B.; Cebi, S.; Cevik Onar, S.; Tolga, C.; Ucal Sari, I.; Otay, I.
In this study, we present a new method for developing Basic Probability Assignment (BPA) using Linguistic Fuzzy Sets (LFS). Dempster-Shafer Theory (DST) is used to efficiently combine different data sources. The use of LFS provides a robust structure for managing uncertainty in decision making by representing knowledge in linguistic terms. However, effectively integrating multiple uncertain sources requires a strong probabilistic approach. To overcome this challenge, we propose a method to derive BPA values directly from linguistic terms, ensuring compatibility with the DST fusion rule. We then use the Dempster-Shafer combination rule to combine information from various sources, thereby improving the reliability of the decision-making process.
- Derleme MakaleAçık Erişim2025Scopus SJRQ2The effectiveness of telemedicine applications in mental health services: a meta-analysis study
Güler, Kübra Gülırmak; Uzun, Sevda; Emirza, Elif Güzide
Aim: This study was conducted to reveal the effectiveness of telemedicine applications in mental health services. Material method: For this meta-analysis study, data were obtained by searching PubMed, Web of Science, EBSCOhost, Google Scholar, and YÖK Thesis Center databases for the last 5 years in September–December 2023. After the review, 24 studies were included. Findings: In this meta-analysis, it was found that telemedicine interventions in mental health services decreased the depression level of individuals (SMD − 0.168, 95% CI − 0.315 to − 0.021; Z = − 2.243; p <.05). In addition, it was determined that the duration of the intervention played a role in the effectiveness of telemedicine interventions applied to individuals. In addition, it was determined that the type of intervention, the country where the research was conducted, and the patient group did not play a role in the effectiveness of telemedicine interventions applied to individuals. Conclusion: Telemedicine applications in mental health services can play an effective role in reducing the burden of chronic mental illness and improving patient outcomes.
AtıfScopus3WoS3OpenAlex3İncele - MakaleAçık Erişim2025Scopus SJRQ2Valorisation of bread wastes via the bacterial cellulose production
Güzel, Melih
The short shelf life of bread can be attributed to changes in its textural and sensory properties, a process termed staling, and large amounts of bread residue and waste are generated daily. Because the main component of bread is starch, the use of bread wastes as a substrate for bacterial cellulose (BC) production can significantly contribute to valorisation and reuse of wastes. This study aimed to investigate the BC production potential of various stale breads, convert these wastes into usable forms for food and other industries, and increase their economic value. Stale breads were hydrolyzed with dilute acid, and BC-producing bacteria from Kombucha tea were isolated and identified as Gluconobacter oxydans MG2021 (GO). BCs were produced from bread hydrolysates with GO and Komagataeibacter hansenii GA2016 (KH), and their properties were examined. The results indicated that stale breads represented a good source for BC production, as high BC yields were obtained using GO (8.81%–25.02%) and all BCs had superior properties such as high crystallinity (75.96%–91.39%), thermal stability, liquid holding capacity, and fine fibers (40.16–85.39 nm). This study demonstrated that bread wastes could be used as a low-cost substrate for large-scale BC production, and the abundance of bread wastes demonstrated their potential as a resource for commercial BC producers.
AtıfScopus14WoS14OpenAlex16İncele - MakaleAçık Erişim2025Scopus SJRQ2Analyzing the October 16, 2024 MW 5.9 Kale (Malatya) earthquake in relation to the February 2023 Kahramanmaraş earthquake sequence and local tectonic dynamics
Senkaya, Mustafa; Alkan, Hamdi; Öztürk, Serkan; Büyüksaraç, Aydın
The 6 February 2023 Mw 7.7–7.6 Kahramanmaraş earthquake sequence has significantly impacted the East Anatolian Fault zone, including the city of Malatya and its immediate surroundings. In addition to the aftershocks of February 2023, the Mw 5.9 Kale earthquake that occurred on October 16, 2024, further underscores the ongoing seismic activity in the region. This study analyzes the distribution of b-values derived from a comprehensive dataset comprising 14,549 earthquakes and the Coulomb stress variations associated with the aftershocks of the February 2023 sequence and the Kale earthquake. The primary objective of this analysis is to enhance the understanding of the tectonic setting that contributed to the occurrence of the Kale earthquake. The findings indicate that the low b-values and stress transfer through the Pütürge segment toward the unnamed fault near Kale are significant contributing factors to the occurrence of the Kale earthquake. Additionally, positive stress variations from Doğanşehir to Malatya’s city center suggest a potential fault oriented toward the city center that may increase the current earthquake hazard. Furthermore, the distribution of seismic events around Malatya suggests a possible barrier supported by previous magnetic data analysis between Malatya and Kale. Lastly, the observed stress variations for the Kale earthquake indicate the likelihood of upcoming seismic events in both the northeast and southwest directions of the Kale.
AtıfScopus7WoS6OpenAlex6İncele - MakaleAçık Erişim2024Scopus SJRQ1Nurse-led support impact via a mobile app for breast cancer patients after surgery: a quasi-experimental study (step 2)
Aydin, Aydanur; Gürsoy, Ayla
Breast cancer patients may experience some health issues following surgery. Training patients about self-care plays a vital role in managing these symptoms. Mobile applications are a contemporary and appropriate approach to support patients about the potential symptoms following breast cancer surgery. This quasi-experimental study aimed to assess the impact of nurse-led support mobile application (NL-Mapp) delivered on breast cancer patients after surgery. Ninety participants were recruited, with 45 assigned to the intervention group and 45 to the control group. Subjects in the intervention group received NL-Mapp in addition to routine care, while those in the control group received only routine care over four weeks. The intervention included educational content on the postoperative period of breast cancer. Outcomes were assessed at baseline (M0), before discharge (M1), and one month after surgery (M2). The intervention group patients had significantly improved pain, affected shoulder functions, and anxiety owing to the effects of group, time, and group-time interaction. Body image and sexual adjustment were enhanced based on time and group-time interaction effects. During the follow-up period, experimental group patients experienced an improvement in body image and sexual adjustment, while those in the control group showed a decrease. This suggests that NL-Mapp may play a significant role in training breast cancer patients to manage their symptoms after surgery.
AtıfScopus10WoS10OpenAlex5İncele - MakaleAçık Erişim2024Scopus SJRQ2A hybrid method to solve a fractional-order Newell–Whitehead–Segel equation
Bektaş, Umut; Anaç, Halil
This paper solves fractional differential equations using the Shehu transform in combination with the q-homotopy analysis transform method (q-HATM). As the Shehu transform is only applicable to linear equations, q-HATM is an efficient technique for approximating solutions to nonlinear differential equations. In nonlinear systems that explain the emergence of stripes in 2D systems, the Newell–Whitehead–Segel equation plays a significant role. The findings indicate that the outcomes derived from the tables yield superior results compared to the existing LTDM in the literature. Maple is utilized to depict three-dimensional surfaces and find numerical values that are displayed in a table.
AtıfScopus8WoS6OpenAlex4İncele - MakaleAçık Erişim2024Scopus SJRQ2Advanced Tomato Disease Detection Using the Fusion of Multiple Deep-Learning and Meta-Learning Techniques
Catal Reis, Hatice
Automatic and early detection of diseases in crops is important for producers in terms of product yield. Methods are needed to diagnose the disease and select interventions for tomato leaf. This study aims to create a novel framework for automatically extracting tomato leaf disease. The recommended method automatically detects diseases in three classes: healthy, early, and late blight. This study developed a multi-deep and meta-learning fusion framework that automatically combines modern deep-learning algorithms and meta-classifiers to detect tomato leaf disease. The study includes CNN, transformer, and MLP-based models previously trained with the ImageNet dataset and voting classifier (VtC) methods, which are meta-classifiers. Hybrid approaches have been developed using the VtC method and deep learning algorithms such as CoAtNet, FasterNet, FastViT, WaveMLP, and DenseNet201. In addition to the proposed hybrid framework, different types of deep learning models based on CNN, transformer, MLP, transfer learning, and the dataset improved by the CLAHE technique and the original dataset were used to diagnose tomato leaf diseases. While CNN-based modern architectures include DenseNet201, MobileNet, LCNet, GhostNet, CoAtNet, ConvMixer, and FasterNet, transformer architectures include BeiT, FlexiViT, MaxViT, FastViT, and MLP-based architectures include MLP mixer and WaveMLP models. In the classification performed with original images, the proposed method produced incorrect results in only five images among 900 test data. In the classification made with CLAHE images, the proposed hybrid framework produced the most successful result in this study, producing incorrect results in only four images.
AtıfScopus9WoS8OpenAlex8İncele - MakaleYalnız künye2024Scopus SJRQ2Edge detection and depth estimation of Lake Sapanca, Eastern Marmara Region, from high-resolution magnetic data
Aktaş, Gülten
The present study aims to determine submarine structural elements by analysing high-resolution magnetic data sets and to examine the impact of geological surface structures characterizing Lake Sapanca. Lake Sapanca is located on the northern branch of the North Anatolian Fault Zone. The study area and its immediate surroundings are located within the most active tectonic structure of Turkey. A magnetic study was carried out in Sapanca Lake to reveal the structural elements that caused the formation of the lake. Diurnal corrections were applied to the magnetic data. During the analysis of the marine magnetic data set, there are variations in the mean field level of the magnetic field caused by the routing effects of ship noise on the measurements. To eliminate this noise effect, directional correction was performed. Then, de-stripping correction was also applied. It is essential to estimate the boundaries and depths of the structural features of the region. In order to elucidate the structural features of the region, different techniques such as tilt angle derivative, the total horizontal derivative of tilt angle derivative, Euler 2D deconvolution, horizontal gradient magnitude, and source edge detection were applied to magnetic data. 2-D modelling using GM-SYS in Oasis Montaj were performed. These techniques identified and mapped the edges of anomalous sources related to magnetic data corresponding to geological elements in the study area. The results allow us to image the submarine lineaments for the survey area. These structural lineaments are in E–W, NE–SW and NW–SE trends. These lineaments in our results are quite compatible with the faults in previous geophysical results. The E–W trending lineaments are related to the E–W trending faults in the region.
AtıfScopus3WoS2OpenAlex3İncele - MakaleYalnız künye2024Scopus SJRQ2The effect of nonpharmacological interventions applied by nurses to intensive care patients on the duration of delirium: a meta-analysis study
Söylemez, Gönül Kara; Uzun, Sevda
Objective: It was aimed to determine the effect level of nonpharmacological methods applied by nurses to patients hospitalized in the intensive care unit on the duration of delirium. Materials and methods: For this study, relevant studies were accessed by searching in July–October 2022. After the necessary exclusions were made, 14 studies were included in the study. The total sample size of the studies was 1123. Results: According to the results, nonpharmacological interventions applied by nurses to intensive care patients were found to reduce the duration of delirium (SMD: − 0.625, 95% CI: − 1.1040–0.210; Z = − 2.950, p = 0.003, I2 = 93.119%). The country of the study (SMD: − 0.047, p = 0.001) and the types of nonpharmacological interventions used (SMD: − 0.062, p = 0.000) influenced the effect size of modulators on the duration of delirium in ICU patients. Conclusion: Nonpharmacological interventions applied by nurses, who have significant responsibilities in the protection and promotion of health, were found to reduce the duration of delirium in intensive care patients. This study shows that nurses, one of the main components of the multidisciplinary team in intensive care, are successful when they apply nonpharmacological interventions well.
AtıfScopus6WoS6OpenAlex6İncele - BildiriAçık Erişim2024Scopus SJRQ4An Efficient Technique Based on Deep Learning for Automatic Focusing in Microscopic System
Dogu, Fatma Tuana; Dogan, Hulya; Dogan, Ramazan Ozgur; Ay, Ilyas; Sezen, Sena F.; Seyman, M.
During microscopic examination process, experts firstly determine the most appropriate focusing point by precisely moving the microscope stage in the Z axis. This manual focusing process may cause variability in results depending on hand-eye coordination and individual experience. Therefore, the development of automatic focusing offers superior quality and consistent imaging. Many researchers have studied automatic focusing systems and proposed many focus functions to extract focus information from multi-focus images. Nevertheless, these focusing systems still consist of several significant limitations such as requiring a supplementary material, longer running time, producing different performance depending on the sample and magnification objective. In this study, an efficient technique based on deep learning is proposed to automatically determine the focused image during microscopic examination processes to minimize these limitations in the literature. This technique takes a sequence of images with the same field of view and different focuses as input and gives the image with maximum focusing as output. The proposed technique is compared with other automatic focusing techniques on the literature. In this study, novel multi-focus image sequences obtained from liver, intestine, heart, kidney, and lung samples is prepared to evaluate the performance of automatic focusing techniques. These sequences are obtained by scanning with 10× and 40× magnification objectives. Running time, accuracy, number of local maximum points, range, and noise levels are used as evaluation criteria in this study. According to evaluation criteria results obtained in this study, it has been proven that the proposed technique provides better performance than other automatic focusing techniques.
- BildiriAçık Erişim2024Scopus SJRQ4Extension of TODIM Method Based on Distance Measures of Decomposed Fuzzy Sets
Köseoğlu, Ali; Şahin, Rıdvan; Kahraman, C.; Cevik Onar, S.; Cebi, S.; Oztaysi, B.; Ucal Sari, I.; Tolga, A.C.
Fuzzy sets allow elements to have partial membership in a set, represented by a membership value between 0 and 1. This feature enables fuzzy sets to model imprecise or vague concepts. Decomposed fuzzy sets, an extension of fuzzy sets, have introduced a novel perspective in the literature by incorporating the Kano model into risk assessment. These sets have also paved the way for new approaches in decision-making methods, highlighting their functional and dysfunctional elements. In this paper, we propose a distance measure for decomposed fuzzy sets and subsequently extend the TODIM method based on this distance measure to DFSs. Then, we provide a numerical example to illustrate its effectiveness and practicality.
- MakaleAçık Erişim2024Scopus SJRQ2The effectiveness of nurses’ psychosocial interventions for sensory deprivation in intensive care patients: a systematic review and meta-analysis
Uzun, Sevda
Objective: This systematic review and meta-analysis aimed to assess the effectiveness of nurses’ psychosocial interventions for addressing sensory deprivation in intensive care units (ICUs). Materials and methods: A comprehensive search of PubMed, Web of Science, EBSCOhost, Google Scholar, CİNAHL, Embase, Cochrane Library, and YÖK Thesis Center databases was conducted from August 2023 to May 2024, without any temporal restrictions. In addition, a physical search was made in the university library for grey literature. Results: The study revealed that nurses’ psychosocial interventions significantly improved patients’ level of consciousness (SMD = 1.042, %95 CI = 0.716 to 1.369; Z = 6.25; p <.05) and sleep quality in ICUs (SMD=1.21, 95% CI= 0.232 to 1.810; Z = 2.49; p <.05). The effectiveness of psychosocial interventions varied based on the type of intervention, patient age, ICU type, patient group, and intervention duration. Notably, auditory stimuli and aromatherapy demonstrated particularly high effect sizes, significantly enhancing patients’ levels of consciousness and sleep quality. Conclusion: In conclusion, psychosocial interventions aimed at reducing sensory deprivation in intensive care units exert beneficial effects on individuals, notably enhancing their level of consciousness and improving sleep quality.
AtıfScopus5WoS4OpenAlex6İncele - MakaleYalnız künye2024Scopus SJRQ2The effect of anthropometric measurements and muscle endurance of the trunk and lower extremities on anatomic body awareness in healthy individuals with different levels of physical activity
Koca, Rabia; Şen, Müşerref Ebru
Background: The interaction between anthropometric measurements and muscular endurance and how these factors manifest in anatomical body awareness have not yet been fully investigated. It was aimed to examine the relationship between physical activity, body anthropometric measurements and endurance and anatomical body awareness in healthy individuals. Materials and methods: A total of 217 individuals aged 19–40 participated in the study. Participants were categorized into inactive (n = 65), minimally active (n = 80), and sufficiently active (n = 72) groups based on the international physical activity questionnaire (IPAQ). Anthropometric measurements including shoulder, abdomen, waist, and hip circumferences were taken. Participants’ trunk muscle endurance and lower extremity endurance was assessed through various tests. Anatomic body awareness was evaluated using the Body Awareness Questionnaire (BAQ) with established validity. Results: While no significant difference in shoulder circumference measurements was found between the inactive and minimally active groups (p > 0.05), the sufficiently active group showed significantly higher shoulder circumference measurements compared to the other groups (p < 0.05). Significant differences were observed among all endurance tests between the groups (p < 0.05). Participants’ body endurance increased significantly with higher activity levels. Moreover, anatomic body awareness exhibited significant variation among the three groups (p < 0.05), with the sufficiently active group having the highest level of anatomic body awareness. Positive correlations were found between all endurance tests and anatomic body awareness (p < 0.05), as well as a positive correlation between physical activity levels and anatomic body awareness (p < 0.05). Conclusion: It is suggested that physical performance and endurance increase anatomical body awareness when applied with appropriate treatment methods, can be applied for a healthier life and can be an additional application in the clinical environment.
- BildiriYalnız künye2023Scopus SJRQ4Quantum Convolutional Neural Network for Agricultural Mechanization and Plant Disease Detection
Genemo, Musa; Shakya, S.; Tavares, J.M.R.S.; Fernández-Caballero, A.; Papakostas, G.
Agricultural research is essential in addressing the challenges of food production and meeting the needs of a growing population. Severe crop disorders can lead to food insecurity, potentially causing disastrous effects on agricultural production, such as yield losses, reduced crop quality, and even complete crop failures. By leveraging computer vision techniques, it is possible to develop systems that detect signs of crop diseases at an early stage, facilitating prompt intervention and management. Environmental changes, such as rainfall and biosolids, can cause plants to become inflamed by microorganisms. While manual observation and assessment of leaf conditions have traditionally been used for crop disease detection, there is increasing interest in leveraging technology to automate and enhance the process. Manual detection of crop diseases based on leaf conditions is subjective, time consuming, and vulnerable to errors. Utilizing computer vision methods to detect plant diseases helps improve plant health. The concept of applying quantum convolutional neural networks (QCNNs) for agricultural mechanization and plant disease detection is an interesting area of research that combines quantum computing and deep learning techniques. However, it is important to note that quantum computing is still in its early stages, and practical implementations of QCNNs for real-world applications, including agriculture, are not yet widespread. The proposed work of paper focuses on the detection of leaf blight disease by classifying leaves into late blight, early blight, and healthy leaves. This work is divided into two stages: segmentation and classification. For segmentation, MobileNetV2 is used, and an emerging quantum machine learning technique named QCNN is used for classification. The main objective is to provide and propose an effective and fast automated technique to detect and classify blight disease, which will help farmers identify blight disease easily. The proposed model achieved a classification accuracy of 0.969. Furthermore, the results were further validated against recent findings in the field. The presented outcome implies that the model’s performance is remarkable.
AtıfScopus12OpenAlex8İncele - MakaleYalnız künye2023Scopus SJRQ2Effect of Reduced Fineness of Fly Ash Used on the Alkali–Silica Reaction (ASR) of Concrete
Eker, Hasan; Demir Şahin, Demet; Çullu, Mustafa
This study aimed to determine the effect of fly ash added to concrete with high calcium content (C class) and different fineness on durability properties such as the alkali–silica reaction (ASR). By substituting ultra-fine fly ash for cement at specific proportions in concrete mixes and increasing the fly ash fineness, fly ash filled the spaces between cement grains or aggregates in concrete and accelerated the hydration process. Thus, the mechanism of ASR development was reduced. Class C Afşin Elbistan ash was used and was ground in a ball mill for 0, 10, 20, 30, and 45 min, and Blaine fineness values of 1555, 1632, 2347, 2589, and 2766 cm2/g were obtained, respectively. For each fly ash fineness, the effect of mixtures with 10%, 30%, and 50% replacement of cement on the ASR mechanism was observed during curing periods of 3, 7, 14, and 28 days compared to concrete without fly ash admixture. Furthermore, the effect of the increased fineness and substitution rate of fly ash with high calcium content in cement on the microstructure was revealed by microscopic mineralogical images. The prepared fine fly ash added to concrete mixes at different replacement ratios showed ASR reducing properties compared to the concrete mix without additions. The fly ash fineness and the substitution rate in the concrete had a reducing effect on the ASR, and this effect resulted in values lower than the reference concrete value.
AtıfScopus21WoS21OpenAlex24İncele