Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Dertli, Enes(116)
- Şahin, Engin(48)
- Kaya, Yunus(46)
- Özen, Soner(46)
- İspirli, Hümeyra(45)
- Pat, Suat(44)
- Şenay, Volkan(42)
- Korkmaz, Şadan(36)
- Yilmaz, Mustafa Tahsin(33)
- Kutlu, Naciye(32)
- Cuce, Erdem(31)
- Öner, Erdal(31)
- Artar, Musa(30)
- Ertugrul, Mehmet(29)
- Hasar, Ugur Cem(29)
- Mercan, Emin(28)
- Bayraktar, Bülent(27)
- Bayram, Sinan(27)
- Can, Zehra(25)
- Ecem Bayram, Nesrin(25)
- Çolak, Murat(23)
- Özdemir, Akın(23)
- Cuce, Pinar Mert(22)
- Sert, Durmuş(22)
- Ayata, Ümit(21)
- Bayram, Ozkan(21)
- Dirican, Ebubekir(20)
- Abdioglu, Murat(19)
- Ayazoglu, Rabil(19)
- Birinci, Ahmet(19)
- Kamiloğlu, Aybike(19)
- Gerçek, Yusuf Can(18)
- Taylan, Osman(18)
- Tozlu, Alperen(18)
- Gul, Volkan(15)
- Hasar, Ugur C.(15)
- Kadakal, Mahir(15)
- Sagdic, Osman(15)
- Ergün, Mustafa(14)
- Kadakal, Huriye(14)
Yayınlar
- MakaleAçık Erişim2024Scopus SJRQ1Analysis of cascade vapor compression refrigeration system using nanorefrigerants: Energy, exergy, and environmental (3E)
Yilmaz, Metin; Cimsit, Canan; Keven, Arzu; Karaali, Rabi
Nanorefrigerants are considered the most efficient heat transfer fluids for improving heat transfer properties in the refrigeration and air conditioning equipment. For the first time in this study, energy, exergy, and environmental evaluation (3E) analyses were performed by the addition of different nanoparticles to a low GWP refrigerant pair such as R290/R1233ZDE in a cascade refrigeration system. CNT, CuO, and, TiO2 nanoparticles were added to the refrigerant. The effect of nanoparticles on the cascade refrigeration system was analyzed using a model based on density changes. A detailed thermodynamic analysis was performed of the cascade refrigeration system at different evaporator temperatures and mass ratios. The power consumption of the compressor decreases as the evaporator temperature increases for all types of nanoparticles, resulting in an increase in COP values. The analyses showed that CuO nanoparticles had the highest performance. It has been observed that the energy and exergy efficiency increase as compressor work decreases with increasing mass ratios in all nanorefrigerants. In addition, the results indicated that all nanorefrigerants emit lower monthly CO2 emissions compared to the pure refrigerants. The nanorefrigerants play a crucial role in reducing energy consumption and promoting environmental protection compared to traditional refrigerants.
AtıfScopus16WoS16OpenAlex17İncele
- MakaleAçık Erişim2024Scopus SJRQ1The application of deep eutectic solvents for protein extraction from bee bread (Perga)
Ecem Bayram, Nesrin; Gerçek, Yusuf Can; Kutlu, Naciye; Çelik, Saffet; Bayram, Sinan; Baştürk, Fatma Nur; Yıldırım, Nazlıcan
Bee bread is one of the basic nutrients that bees use as a protein source and is formed as a result of the fermentation of bee pollen. In the last few years, this product has become increasingly recognized and consumed among bee products due to its functional properties. However, deep eutectic solvents (DES) have attracted great interest in recent years as promising green alternatives to replace traditional solvents due to their variable viscosity, low vapor pressure, application-specific adjustability, non-flammability and chemical stability. In this study, bee bread was extracted in 12 different DES with different hydrogen bond acceptor (HBA):hydrogen bond donor (HBD) combinations. The DES combination with the highest total protein content was determined to be choline chloride (ChCl)-urea. Then, ultrasonic extraction conditions were optimized for maximum bioactive extraction in extracts prepared with ChCl-urea. The optimum conditions were found as 31.3 %, 25 min, 35 °C for ultrasonic power, extraction time and temperature, respectively. The desirability value (d) of the model was 0.83. The extracts were analyzed for total phenolic content, total protein content, individual polyphenolics, individual amino acids and individual vitamins as well as antimicrobial and antioxidant activity tests. According to the results, total protein, total individual amino acids and total individual phenolics were higher in the extracts obtained with ChCl-urea compared to the extract prepared with conventional solvent (ethanol). In conclusion, all these findings showed that ChCl-urea combination can be an alternative to ethanol depending on the structural characteristics of the target compounds to be extracted from bee bread.
AtıfScopus15WoS12OpenAlex13İncele
- MakaleYalnız künye2024Scopus SJRQ3Microwave hydrodistillation of Pelargonium graveolens L’Her leaves: Essential oil profile, phytochemical composition of wastewater, histo-anatomical structure
Boztaş, Kadir; Gercek, Yusuf Can; Türer, Gizem; Canlı, Deniz; Bayram, Sinan; Çelik, Saffet; Kırkıncı, Seran; Basturk, Fatma Nur; Feizollahi, Sepideh; Cevahir Öz, Gül
By-products with remarkable bioactive properties are formed in extraction processes of essential oils from plant materials. In present study, it was aimed to determine the concentration of individual phenolic and organic acid compounds by LC-MS/MS of the by-product (wastewater) collected after the essential oil isolation from Pelargonium graveolens L. and to determine some bioactive properties of this by-product. In addition, the chemical analysis and antibacterial activity of the essential oil extracted from P. graveolens were determined and the histo-anatomical characterization of the glandular trichomes in the leaf sample was performed. As a result, quercetin (95862.22 μg/kg), myricetin (59834.32 μg/kg) and rutin (36522.90 μg/kg) were the phenolic compounds determined in the highest concentrations in the by-product extracted using two different extraction techniques (non-hydrolysis and hydrolysis methods). Moreover, the individual organic acids of the by-product screened in LC-MS/MS was found to be 4487.17 mg/kg in total. When the essential oil component profile of the plant sample was examined, the citronellol (38.78%) compound was found to be dominant, and it was also detected that the essential oil had remarkable bioactive properties. In conclusion, it can be stated that both the essential oil obtained from P. graveolens and the by-product obtained during essential oil isolation can be considered as a source of some bioactive components in many different industrial applications.
AtıfScopus6WoS4OpenAlex6İncele
- MakaleAçık Erişim2024Scopus SJRQ1The Effect of Augmented Reality Technology on Primary School Students’ Achievement, Attitudes Towards the Course, Attitudes Towards Technology, and Participation in Classroom Activities
Sökmen, Yavuz; Sarikaya, İsmail; Nalçacı, Ahmet
The research aims to investigate the impact of augmented reality (AR) technologies developed within the framework of primary school students’ on student achievement, attitudes towards the course, attitudes towards technology, and participation in classroom activities. The contents of AR-based learning materials have been developed by 4th-grade teachers and writers within the context of the existing curriculum. The study process was carried out based on the instructional design model. The research was performed in conjunction with the quasi-experimental design among the experimental designs of quantitative research methods. Using the cluster random sampling method, students in the experimental and control groups were selected among 11 primary schools. The findings indicate that contrary to the students in the control group, the students in the experimental group had higher academic achievement and participation in classroom activities, and also their attitudes to the course and applied technology were more positive. Moreover, concerning the experimental group students, a positive and significant correlation between their academic achievements, attitudes towards the course, attitudes towards technology, and their participation and participation in classroom activities have been observed.
AtıfScopus24WoS16OpenAlex21İncele
- MakaleAçık Erişim2024Scopus SJRQ2Biochemical and physicochemical characteristics and volatile profiles of Erzincan Tulum cheese coagulated by herb-fortified artisanal lamb rennet
Arslaner, Ayla; Türkmen, Özgenur
The characteristics of Erzincan Tulum cheese (ETC), an artisanal ewe-milk cheese and the first cheese with the designation of origin in Türkiye, are closely related to the geographical location of production and the human factors influencing every stage of the production process. This study aims to determine the influence of different coagulants (namely, herb-fortified artisanal lamb rennet (ALR), artisanal calf rennet (ACR), and commercial calf rennet (CCR)) on the biochemical, physicochemical characteristics, and volatile compounds of ETC, produced on the Heybeli plateau of the Erzincan province. Using artisanal rennet increased total solids, fat content, and acidity while decreasing pH and aw values. The highest PTA-SN (soluble nitrogen in 5 % phosphotungstic acid, w/v) and TCA-SN (soluble nitrogen in 12 % trichloroacetic acid w/w) values at the end of the ripening period (day 150 of storage) were observed in the ALR-Cheese (ALR-C). Furthermore, this cheese exhibited the highest rate of lipolysis (P < 0.01). Electrophoretograms revealed that αs-1 and β-casein degradation rates were the most significant in ALR-C. Following the 30th day of storage, the highest counts of lactic acid bacteria (LAB) were found in ALR-C. The most rapid reduction of coliforms, E. coli, and yeast-mold was observed in this sample throughout the storage. Eighty-nine volatile compounds were identified in the samples. Particularly noteworthy, ALR-C exhibited the highest ratios of hexanoic, octanoic, and decanoic acids after 90 days of storage. Additionally, steroid compounds were exclusively detected in this sample. The findings of this research make a substantial contribution to the existing literature concerning rennet types and the aromatic profile of ETC. These aspects are crucial for further investigations to enhance the cheese's quality and safety.
AtıfScopus3WoS3OpenAlex3İncele
- MakaleYalnız künye2024Scopus SJRQ3Exploring the Potential of Isoindole-1,3-Dione Derivatives as Novel Inhibitors of Aldose Reductase: An In Silico and In Vitro Insight into Therapeutic Strategies for Diabetic Complications
Şengül, Bülent; Gündoğdu, Özlem; Kilinç, Namık; Kishali, Nurhan
This study explores the potential of isoindole-1,3-dione derivatives as novel inhibitors of aldose reductase (AR), focusing on their in silico and in vitro effects for therapeutic strategies against diabetic complications. Aldose reductase, a critical enzyme in the polyol pathway, plays a significant role in glucose metabolism and has been linked to diabetic complications. In this comprehensive study, isoindole-1,3-dione derivatives were synthesized and evaluated for their inhibitory effects on the recombinant human AR enzyme. The compounds’ inhibitory activities were measured both in vitro and through in silico techniques, employing molecular docking and free binding energy calculations and ADME studies. The newly synthesized compounds demonstrated varied inhibitory effects, with ethyl and phenyl substituents at specific positions enhancing inhibitory activity. Notably, compounds with carboxylic acid derivatives exhibited potent inhibitory effects, especially compound 6 with an IC50 value of 1.649 μM. In conclusion, this study provides valuable insights into the inhibitory potential of isoindole-1,3-dione derivatives against AR, suggesting their potential therapeutic application in mitigating diabetic complications. The combination of experimental and computational approaches offers a comprehensive understanding of the compounds’ interaction mechanisms and pharmacokinetic profiles, supporting their further exploration as antidiabetic agents.
- MakaleYalnız künye2024Scopus SJRQ1Mindfulness-based cognitive therapy for adherence of immunosuppressive treatment in liver transplant recipients: A randomized controlled trial
Bulbuloglu, Semra; Gunes, Hüseyin
Objective: The aim of this study was to analyze the effects of mindfulness-based cognitive therapy on the adherence of liver transplant recipients to immunosuppressive therapy with a randomized controlled design. Method: This randomized controlled trial was performed with 120 liver transplant recipients hospitalized at the liver transplant department of a research and practice hospital (n = 120). While we administered no intervention to the patients in the control group (n = 60), we provided Mindfulness-Based Cognitive Therapy to those in the experimental group (n = 60). We used the Mindful Attention Awareness Scale and the Immunosuppressant Therapy Adherence Scale to collect data. We utilized descriptive statistics, paired-samples t-tests, independent-samples t-tests, one-way analysis of variance, and chi-squared tests to analyze the data. Results: After the intervention, the immunosuppressive therapy adherence levels of the experimental group increased significantly (p < 0.01). On the other hand, the control group had significantly higher adherence to immunosuppressive therapy and significantly higher levels of mindfulness in the pretest phase than it did in the posttest phase (p < 0.01). Conclusions: Complete adherence to immunosuppressive therapy is imperative for the prevention of graft rejection in liver transplant recipients. In our study, the experimental group equipped with enhanced mindfulness had higher adherence to immunosuppressive therapy. Therefore, the use of Mindfulness-Based Cognitive Therapy in the promotion of adherence to immunosuppressive therapy is recommended.
AtıfScopus6WoS5OpenAlex7İncele
- MakaleAçık Erişim2024Scopus SJRQ2Cross-cultural adaptation and psychometric evaluation of the Turkish version of the Smombie Scale for Adolescents
Sönmez Sari, Ebru; Temel Mert, Zeynep; Semerci Çakmak, Vahide; Sevgil Atli, Pelin
Background: Smombie has become an important problem especially in terms of adolescent health. The aim of this study was to translate the Smombie Scale for Adolescents (SSA) into Turkish and to examine its psychometric properties. Methods: This study has a methodological design. The study was conducted between March and April 2024. The sample of the study consisted of 430 adolescents. The data were collected by using Personal Information Form and SSA. Content Validity Index, Confirmatory Factor Analysis (CFA), test−retest reliability, Cronbach's α coefficient, item-total score correlation, 27% upper−lower group item analysis and Hotelling T2 test were used in data analysis. Results: The four-factor structure of the scale showed a good fit in CFA (chi-square minimum discrepancy [CMIN] = 187.463, degrees of freedo (DF) = 83, CMIN/DF = 2.259, root mean square error of approximation = 0.054, root mean square residual = 0.033, goodness of fit index = 0.947, adjusted goodness of fit index = 0.923, normed fit index = 0.930, tucker-lewis index = 0.949 and comparative fit index = 0.959). Cronbach's α coefficient of the scale was found to be 0.86. The item-total score correlation of the scale was found between 0.212 and 0.721. The test-retest intraclass correlation coefficient of the scale was found to be 0.876. Conclusions: This study shows that the scale is a reliable tool for assessing adolescents' smombie tendencies. It is thought that the scale will contribute to the protection and development of adolescent health.
AtıfScopus2WoS2OpenAlex2İncele
- MakaleAçık Erişim2024Scopus SJRQ2Investigation of the effect of green walking and intelligence games on the cognitive skills of individuals between the ages of 50–70 survived COVID-19 disease: A randomized controlled study
Akeren, Zahide; Hintistan, Sevilay
Background: Mild cognitive impairment can be considered as the preclinical stage of Alzheimer's disease. With the addition of COVID-19 disease to the cognitive decline that occurs with aging, it may cause dementia with severe cognitive losses such as Alzheimer's disease in some people. Physical activity and brain-occupying practices can significantly improve the risk factors for cognitive disorders and Alzheimer's disease. Objective: The aim of study was to examine the effect of green walking and intelligence game on the cognitive skills of individuals aged 50–70 years with COVID-19. Methods: The randomized controlled study was completed with 40 individuals, 20 in the experimental and 20 in the control group. Individuals in the experimental group green walking for 30 min three days a week for one month in two groups of 10 people, accompanied by the researcher. In addition, these individuals played intelligence games (brain games-memory thinking and brain exercise) via their smartphones for 15 min every day for a month. Results: The cognitive skills and cognitive dimensions of “attention, concentration, memory, language and orientation” of the individuals in the experimental group were significantly increased compared to the control group individuals (p < 0.05). Conclusions: It was found that green walk and intelligence game practice increased the cognitive skills of individuals aged 50–70 years who had outpatient COVID-19. © The Author(s) 2024. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
AtıfScopus1WoS2OpenAlex2İncele
- MakaleYalnız künye2024Scopus SJRQ2Drought analysis using innovative trend analysis and machine learning models for Eastern Black Sea Basin
Niazkar, Majid; Piraei, Reza; Eryılmaz Türkkan, Gökçen; Hırca, Tuğçe; Gangi, Fabiola; Afzali, Seied Hosein
This study aims to assess the Eastern Black Sea Basin drought conditions. For this purpose, the trend changes in SPI values of 6, 9, 12, and 24 months using innovative trend analysis were examined. Additionally, four machine learning models, including Multiple Linear Regression, Artificial Neural Networks, K Nearest Neighbors, and XGBoost Regressor, are employed to forecast SPI with rainfall data between 1965 and 2020 from eight rainfall stations. The input data for each model was SPI values from lead times of 1 to 6, resulting into 768 unique scenarios. The ML models estimated SPI values better as the SPI duration increased, with the 24-month SPI showing the highest accuracy. The results of SPI forecast indicated that the optimal model and number of input variables varied for each SPI and station, indicating that further studies are required to improve SPI predictions.
AtıfScopus24WoS23OpenAlex25İncele
- MakaleAçık Erişim2024Scopus SJRQ1Effects of the demineralisation degree on physicochemical, functional, microstructural and powder flow properties of whey powder
Bebek, Müşerref; Sert, Durmuş; Mercan, Emin
This study aimed to investigate the effects of the demineralisation process on powder flow, physicochemical, functional, and microstructural properties of whey powders (WP). WP samples were produced from 50, 70 and 90% demineralised sweet whey concentrates. Although the salt, ash, and lactic acid content of the powders decreased with increasing demineralisation, pH increased. D [3,2] (surface area mean diameter) value of WP samples ranged from 28.2 to 60.9 μm, in which demineralisation increased the particle size. The colour values showed increased darkness and yellowness, attributed to the higher demineralisation process. Demineralisation improved solubility and foaming characteristics, whereas it decreased the wettability and dispersibility of samples. The caking and cohesion characteristics of WP were significantly decreased by demineralisation. Demineralisation significantly improved the powder flow characteristics of samples. The cohesion index decreased depending on the demineralisation degree increased. Also, demineralisation decreased the cake strength and compaction coefficient of samples. Mineral content decreased with increasing demineralisation, with some minerals showing more sensitivity to demineralisation than others. Scanning Electron Microscope images showed reduced caking and clustering in samples with higher degrees of demineralisation. The results highlighted the importance of demineralisation as an effective parameter to control the properties of WP. In conclusion, this study demonstrated that the degree of demineralisation had a substantial impact on the physical and functional properties of WP.
AtıfScopus1WoS1OpenAlex3İncele
- MakaleYayıncıda açık erişim2024Scopus SJRQ3Comparison of Color Parameters in Layers of Yacht Varnish, Waxy Varnish, and Stone Varnish Applied to Various Wood Species
Ayata, Ümit; Peker, Hüseyin
In this study, solvent-based yacht varnish, stone varnish, and waxy varnish were applied in two coats using a brush, following industrial application standards, to the surfaces of the following tree species: black alder (Alnus glutinosa L. Gaertn.), curupay (Anadenanthera macrocarpa Benth.), iatandza (Albizia ferruginea), lemon (Citrus limon (L.) Burm.), loquat (Eriobotrya japonica L.), magnolia (Magnolia grandiflora L.), plane (Platanus orientalis L.), sucupira (Bowdichia nitida Benth.), and hornbeam (Carpinus betulus L.). Subsequently, the color parameters (b*, C*, L*, a*, ho, ΔE*, ΔH*, Δb*, ΔC*, Δa*, and ΔL*) of the varnish layers were compared with those of the untreated surfaces. The results of analysis of variance revealed significant differences in all color parameters. Decreases in L* values and increases in a* values were observed for all wood types when treated with three different varnishes. Additionally, in plane, black alder, and hornbeam wood, application of all varnishes resulted in increases in b* and C* values, with decreases in ho values. In sucupira wood, however, decreases were observed in b*, C*, and ho values with the application of all three varnishes. It was observed that a single type of varnish yielded different results on different wood types. This finding was attributed to the different types of resins present in the varnish types used in the study, which resulted in varying outcomes.
- MakaleAçık Erişim2024Scopus SJRQ2Investigating the Effect of Polypropylene Fiber on Mechanical Features of a Geopolymer-Stabilized Silty Soil
Kamiloğlu, Hakan A.; Kurucu, Kutluhan; Akbaş, Dilek
This study investigates the stabilization of silty soil using alkali-activated fly ash and fibers with lengths of 3 mm and 12 mm. The study examines the effects of hybrid fiber length, fiber content, fly ash content, and activator content on the mechanical properties of the geopolymerstabilized samples. The objectives of this paper are 1) to examine the effect of activator content and fly ash content on the UCS, Al/Si ratio, and SiO2/Na2O ratio of the stabilized samples using a statistical approach, 2) to investigate the effect of hybrid fiber length on UCS, secant modulus, flexural strength, toughness, and flexural load-deformation characteristics of the stabilized soil. A statistical approach was employed to investigate the relationship between fly ash content, alkali activator content, and UCS value. Optimal fly ash content and alkali activator content were determined based on the statistical model. The geopolymer structure of the stabilized soil was characterized via SEM, EDS, XRD, and FTIR analyses. The effects of fly ash and alkali activator content on UCS, Al/Si ratio, and SiO2/Na2O ratio were determined using the derived statistical model. The study demonstrated that activator content, a critical factor in compaction, significantly influences the UCS value, as much as the effect of the Si/Al and SiO2/Na2O ratios. Additionally, variations in fly ash content led to an increase in the UCS value of up to 15%. Moreover, changing the activator content resulted in a maximum 12-fold increase in UCS value. Incorporating hybrid fibers for stabilization led to higher secant modulus (up to 30%), flexural strength (up to 6%), and ductility without compromising UCS.
AtıfScopus20WoS17OpenAlex18İncele
- MakaleAçık Erişim2024Scopus SJRQ2The relationship between self-efficacy and emotional burnout levels of seafarers: the role of individual alienation – the case of Turkey
Battal, Fetullah; Durmuş, İbrahim; Çınar, Ertuğrul
Purpose: The study aims to examine the factors that may affect the burnout levels of ship workers. Design/methodology/approach: The scope of the research consists of seafarers on ships docking at the ports of Zonguldak, Karadeniz Eregli, Eren and Filyos in the Western Black Sea region of Turkey. The sample consists of officers, engineers, dynamic position operators, electricians, boatswains, able seamans, pumpmans and stewards working on ships. In this respect, a random questionnaire was used in the research method and a questionnaire was sent to 400 of these employees, representing the main sample, and 263 of them fully answered the online questionnaire. Findings: As a result of the research, first of all, it is seen that the increase in the self-efficacy of the seafarers decreases their emotional burnout levels. In the second step, the strong self-efficacy of the seafarers reduced the level of individual alienation. In the third step, the increase in the individual alienation of the ship workers also caused an increase in the levels of emotional exhaustion. Originality/value: As a result, it has been seen that there is a partial mediating role of individual alienation in the relationship between the self-efficacy of the seafarers and their emotional exhaustion. In other words, high self-efficacy is not the only reason for the decrease in emotional burnout levels among seafarers. At the same time, self-efficacy has an effect on the individual alienation levels of seafarers.
AtıfScopus1WoS1OpenAlex2İncele
- MakaleYalnız künye2024Scopus SJRQ2Diltiazem and Verapamil: Combined experimental and computational approaches to structural and spectroscopic characterization
Cinar, Mehmet; Can, Sümeyra; Baris, Özlem; Demirci, Çiğdem Elif
Diltiazem and Verapamil are two important drug molecules in a separate group of Calcium Channel Blockers. The purpose of this work is to determine and compare the structural and spectroscopic properties of these two molecules using a number of experimental techniques and quantum chemical calculations. Compounds were characterized spectroscopically using FT-IR, Raman, NMR (1H, 13C, and DEPT), and UV–vis methods. Furthermore, the Density Functional Theory (DFT) method, Becke's three-parameter hybrid functional (B3LYP), and the 6–311++G(d,p) basis set were used to determine the ground state geometric structures of molecules, and the spectroscopic properties of the obtained optimum structures were investigated computationally. The optimization studies performed under vacuum circumstances and for the isolated molecules were found to be very close to the experimental results. In fact, r.m.s. values were discovered for Diltiazem and Verapamil with bond lengths of 0.013 and 0.024, and bond angles of 1° and 2°, respectively. The vibration characteristics of the compounds were discovered using the collected FT-IR and Raman spectra, and significant vibrational modes were assigned. After scaling, it was revealed that the quantum chemical data was congruent with the experimental ones, and that the characteristic vibrational modes were appropriately predicted. DFT calculations effectively determine molecules' structures due to internal consistency, despite being slightly distant from experimental data. Theoretical values for carbon and hydrogen atoms are better in agreement with observed values when scaling with 0.92 and 0.90. From the UV–vis spectra, Diltiazem HCl absorbance peaks were found at 207 and 237 nm, whereas Verapamil HCl absorbance peaks were identified at 203, 229, and 278 nm. When the theoretical calculations and experimental findings were compared, the anticipated absorption peaks were found to have shifted nearer the visible area. Furthermore, Hirshfeld surfaces and Molecular Electrostatic Potential surfaces were obtained and analyzed in order to better understand the electronic characteristics. The TDOS and PDOS (total and partial density of state) spectra were also studied. Finally, using the HOMO and LUMO energy values, the critical chemical parameters were evaluated, and it was discovered that both molecules had positive electron affinity and electronegativity values, indicating that they will accept electrons when the electron-nucleus attraction exceeds the electron-electron repulsion.
AtıfScopus9WoS9OpenAlex9İncele
- MakaleAçık Erişim2024Scopus SJRQ1Antioxidant activity and phenolic content of bee breads from different regions of Türkiye by chemometric analysis (PCA and HCA)
Can, Zehra; Gıdık, Betül; Kara, Yakup; Kolaylı, Sevgi
The objective of this study was to assess the antioxidant activity and phenolic compounds of bee bread samples obtained from various regions in Türkiye The goal was to characterize and classify 15 of bee bread samples based on their geographical origins. This investigation employed chemometric techniques, specifically principal component analysis (PCA) and a hierarchical clustering algorithm (HCA), for the inaugural comprehensive analysis of all data encompassing antioxidant activity and phenolic compounds in bee bread. The primary objective was to unveil potential clustering patterns among of bee bread samples based on their geographical origins. According to the results, the Total Phenolic Content (TPC) of bee bread samples ranged from 4.393 to 14.917 mg GAE/g dw, while the Total Flavonoid Content (TFC) exhibited variation within the range of 0.681 to 3.504 mg QE/g dw. p-OH benzoic and p-coumaric acids were detected in all samples. Other phenolic compounds were identified in different proportions among the bee bread samples. This study demonstrated the successful application of the PCA chemometric method to assess the antioxidant activity and phenolic compounds of bee bread samples from various regions of Türkiye. The results revealed effective clustering of the bee bread samples based on their geographical origins. Graphical Abstract: (Figure presented.)
AtıfScopus12WoS14OpenAlex16İncele
- MakaleAçık Erişim2024Scopus SJRQ1Feature selection with annealing for forecasting financial time series
Pabuccu, Hakan; Barbu, Adrian
Stock market and cryptocurrency forecasting is very important to investors as they aspire to achieve even the slightest improvement to their buy-or-hold strategies so that they may increase profitability. However, obtaining accurate and reliable predictions is challenging, noting that accuracy does not equate to reliability, especially when financial time-series forecasting is applied owing to its complex and chaotic tendencies. To mitigate this complexity, this study provides a comprehensive method for forecasting financial time series based on tactical input–output feature mapping techniques using machine learning (ML) models. During the prediction process, selecting the relevant indicators is vital to obtaining the desired results. In the financial field, limited attention has been paid to this problem with ML solutions. We investigate the use of feature selection with annealing (FSA) for the first time in this field, and we apply the least absolute shrinkage and selection operator (Lasso) method to select the features from more than 1000 candidates obtained from 26 technical classifiers with different periods and lags. Boruta (BOR) feature selection, a wrapper method, is used as a baseline for comparison. Logistic regression (LR), extreme gradient boosting (XGBoost), and long short-term memory are then applied to the selected features for forecasting purposes using 10 different financial datasets containing cryptocurrencies and stocks. The dependent variables consisted of daily logarithmic returns and trends. The mean-squared error for regression, area under the receiver operating characteristic curve, and classification accuracy were used to evaluate model performance, and the statistical significance of the forecasting results was tested using paired t-tests. Experiments indicate that the FSA algorithm increased the performance of ML models, regardless of problem type. The FSA hybrid models showed better performance and outperformed the other BOR models on seven of the 10 datasets for regression and classification. FSA-based models also outperformed Lasso-based models on six of the 10 datasets for regression and four of the 10 datasets for classification. None of the hybrid BOR models outperformed the hybrid FSA models. Lasso-based models, excluding the LR type, were comparable to the best models for six of the 10 datasets for classification. Detailed experimental analysis indicates that the proposed methodology can forecast returns and their movements efficiently and accurately, providing the field with a useful tool for investors.
AtıfScopus28WoS18OpenAlex32İncele
- MakaleAçık Erişim2024Scopus SJRQ2Effect of kangaroo mother care and white noise on physiological-stress parameters in heel lancing: randomized controlled study
Kirbaş, Zila Özlem; OdabaşI Aktaş, Elif; Bayraktar, Bülent; Özkan, Hava
Background: Newborns are exposed to varying degrees of stressful interventions due to procedures such as heel lancing used in routine metabolic screenings. It is an examination of the effects of white noise and kangaroo care on some physiological parameters and stress markers (cortisol and glucose-regulated protein 78-GRP78) in heel lancing in newborns. Methods: Randomized controlled study was conducted at a gynecology service of a hospital between January and September 2023. 90 babies were divided into three groups: 30 babies in the Kangaroo Care Group (KCG), 30 babies in the White Music Group (WMG), and 30 babies in the Control Group (CG). All babies were randomly divided into groups. Stress parameters were measured by saliva collection method and physiological parameters by saturation device. Results: A statistically significant difference was determined between the total crying time, pulse and saturation values according to the groups (p < 0.001; p = 0.001). A statistically significant difference was determined between the mean values of cortisol and GRP78 measurements according to group and time interaction (p < 0.001). KCG was more effective in reducing total crying time and stabilizing pulse, saturation, salivary cortisol, GRP-78 values compared to WNG and CG. Conclusion: It was concluded that white noise and kangaroo care help reduce newborns’ stress in the case of heel lancing. Practical implications: The practice of kangaroo care and the use of white noise methods may assist healthcare professionals as supportive methods in stress management during invasive procedures. Trial Registration: NCT06278441, registered on 19/02/2024.
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- MakaleAçık Erişim2024Scopus SJRQ1Recruiting grape-isolated antagonistic yeasts for the sustainable bio-management of Botrytis cinerea on grapes
Oztekin, Sebahat; Karbancioglu-Guler, Funda
Botrytis cinerea is the causative agent of grey mould disease in grapes, which was linked to significant postharvest losses. This study examined three grape-isolated yeasts (Metschnikowia aff. fructicola, Metschnikowia pulcherrima, and Hansenispora uvarum) through in vitro and in vivo tests on detached grape berries against grey mould, as well as the elucidation of their possible mechanisms of action. The antifungal mechanism of action of yeasts was determined by the lytic enzyme activity, inhibition of spore germination, biofilm activity, iron depletion, diffusible metabolites, wound-site colonisation, mycocin, and volatile organic compounds (VOCs) production. The highest in vitro efficacy (83.13%) was observed on M. aff. fructicola, followed by M. pulcherrima (82.10%) and H. uvarum (71.66%). Metschnikowia yeasts exhibited comparable enzyme activities, including protease, β-1,3 glucanase, gelatinase chitinase, and cellulase, while H. uvarum had a poor enzymatic activity with chitinase and gelatinase. M. aff. fructicola showed relatively higher iron depletion activity than M. pulcherrima, while M. pulcherrima outperformed via diffusible metabolites. All yeast cultures significantly reduced spore germination by at least 86%. Overall, M. aff. fructicola exhibited the highest biocontrol activity with its iron depletion, inhibition of conidial germination, biofilm formation, VOCs, and well colonisation on grape berries. M. aff. fructicola 1-UDM outperformed all other yeasts by significantly reducing disease incidence and lesion diameter values (93.4% and 94.3%, respectively). Remarkably, H. uvarum VOCs demonstrated potential as a biofumigant for suppressing grey mould. All yeasts are well adapted to their ecological niche to bio-protect grapes from grey mould disease.
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- MakaleYalnız künye2024Scopus SJRQ1Investigation of antibacterial activities of copper based multinary sulfide alloys
Kurt, Hacer; Çekceoğlu, İlknur Aksoy; Acar, Eminegül Genc; Aslan, Emre; Ozel, Sultan Suleyman; Sarilmaz, Adem; Patir, İmren Hatay
One of the nanomaterial-based antimicrobials, CuS, has emerged as a potential active therapeutic agent to combat biofilm infections, showing superior antibacterial activity with both photothermal and photodynamic effects under NIR illumination. To investigate the influence of transition metals on the antibacterial activity of CuxS, the antibacterial properties of shape- and phase- controlled copper-based multinary sulfide (M: CuxS (M: Mn, Zn and Ni)) nanostructures prepared by hot injection method were investigated against Gram-positive Staphylococcus aureus and Gram-negative Escherichia coli under NIR light irradiation. It has been shown that CuxS-based nanomaterials suppress bacterial growth under NIR light irradiation and that, in addition to their antibacterial activity, they also exhibit a remarkable ability to form biofilms. The antibiofilm efficacy of the M:CuxS (M: Mn, Zn and Ni) nanocomposites was significantly higher than that of bare CuS, resulting in biofilm inhibition with rates of 52.53 %, 62.24 % and 74.48 % on E. coli for Mn:CuxS, Zn:CuxS and Ni:CuxS, respectively. In addition, the biofilm of S. aureus was more affected by treatment with M:CuxS (M: Mn, Zn and Ni) nanocomposites, with biofilm activity of 64.15 %, 68.42 % and 87.35 % for Mn:CuxS, Zn:CuxS and Ni:CuxS, respectively. Ni:CuxS showed the highest antibacterial activity, which is attributed to smaller crystal and particle size and energy band gap, resulting in a larger number of nanoparticles per unit volume, a larger surface area and a stronger tendency to electrostatically bind to bacterial cell membranes, a faster ability to penetrate channels and stronger absorption in the NIR range. This work points the way for a broad application of CuS-based biocompatible synergistic antibacterial nanocomposites and can also serve as a guide for antibacterial/antibiofilm approaches as an alternative to conventional antibiotic treatments.
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