Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Uzun, Sevda(67)
- Merdan, Mehmet(59)
- Duran, Celal(49)
- Ozdes, Duygu(46)
- Kaygusuz, Abdullah(45)
- Demir, Selim(37)
- Turan, Ibrahim(37)
- Karsli, Orhan(36)
- Öztürk, Serkan(35)
- Dokuz, Abdurrahman(34)
- Araz, Onur(32)
- Kandemir, Raif(31)
- Kulakaç, Nurşen(29)
- Sipahi, Ferkan(29)
- Arslan, Mehmet(27)
- Baltaci, Cemalettin(27)
- Baltacı, Cemalettin(27)
- Kurt, Kemal(27)
- Topal, Fevzi(27)
- Gücer, Mehmet Ali(25)
- Peker, Iskender(25)
- Aydin, Faruk(24)
- Bayrakdaroglu, Serdar(24)
- Maden, Nafiz(24)
- Ozturk, Samet(24)
- Vural, Alaaddin(24)
- Yolcu, Halil(24)
- Yücel, Cem(24)
- Aliyazicioglu, Yuksel(23)
- Kankal, Murat(23)
- Reis, Hatice Catal(23)
- Ürkek, Bayram(23)
- Günen, Mehmet Akif(22)
- Kurnaz, Muammer(22)
- Topal, Meryem(22)
- Karimullah, Suud Sarim(21)
- Uysal, Ibrahim(21)
- Ashyralyyev, Charyyar(20)
- Aydin, Aydanur(20)
- Bayraktar, Alemdar(20)
Yayınlar
- MakaleAçık Erişim2025Scopus SJRQ2Images of the Death Phenomenon: A Metaphorical Study on Earthquake Victims; [Ölüm Olgusuna Yönelik İmgeler: Depremzedeler Üzerine Metaforik Bir Araştırma]
Maraşlioğlu, Şerife Ericek; Kartopu, Saffet
In February 2023, two powerful earthquakes measuring 7.7 and 7.6 in magnitude struck 11 provinces, with their epicenter in Kahramanmaraş. These earthquakes have been described as the most significant disaster of the century, resulting in extensive structural damage and numerous casualties. Those who survived the earthquake faced death and experienced traumatic events. Concepts such as death are sensitive and complex, making them challenging to express without linguistic support. In this context, individuals often prefer to communicate their thoughts and feelings-essentially their abstract self-experience-through metaphorical expressions. This study aims to identify earthquake victims' metaphorical perceptions of death through qualitative and quantitative phenomenological and correlation analyses. The sample of the study consists of earthquake victims residing in Kahramanmaraş who were directly affected by the earthquakes of February 6, 2023, aged 18 and over, and who volunteered to participate in the interview, determined by purposive sampling. For the implementation of the study, ethical approval was obtained from the Gümüşhane University Rectorate, reference number 2024/3. A total of 291 participants voluntarily took part in the study. Data were collected using a semi-structured metaphorical perception form that included the prompt “Death is like/similar to…” along with sociodemographic variables. The data obtained were analysed using coding and categorisation methods to examine patterns and relationships of meaning in line with the research objectives. The findings revealed that participants generated 88 distinct valid metaphors related to the concept of death. Notably, participants focused on the metaphors of “end,” “restart,” and “gift,” while the category with the fewest metaphors was "reckoning time".
AtıfScopus1OpenAlex2TR Dizin1
İncele - MakaleAçık Erişim2025Scopus SJRQ1Optimizing CPR performance: the role of body composition and ergonomic positioning
Aygun, Tayfun; Karaoglu, Olcay; Senturk, Hakan; Keskin, Arif; Yucel, Nurullah; Hekimoglu, Gulam
Background: Quality cardiopulmonary resuscitation (CPR) is associated with improved survival rates in prehospital arrest cases. Although CPR guidelines emphasize compression depth, rate, and recoil, individual anatomical and biomechanical factors influencing CPR performance remain underexplored. This study aims to determine the optimal CPR position by focusing on individual positional conditions and anthropometric data to improve CPR effectiveness and guide team member selection in emergency scenarios. Methods: A cross-sectional study involving 123 paramedic associate degree students was conducted. Anthropometric measurements including upper extremity length, biceps circumference, and femur length were obtained. CPR performance was assessed using a feedback-capable mannequin, with data collected on compression depth, frequency, rhythm quality, and compression/decompression ratios. Positional parameters such as knee and hip angles, distance between knees, and distance from the mannequin were recorded and analyzed in relation to CPR outcomes. Results: Male participants demonstrated significantly higher CPR quality scores than females (65.09 ± 28.26 vs. 48.85 ± 27.11, p = 0.004). Positive correlations were found between BMI (r = 0.239, p = 0.008), upper extremity length (r = 0.364, p < 0.001), biceps circumference (r = 0.350, p < 0.001), and CPR quality metrics. A moderate inter-knee position (shoulder-width distance) provided superior compression depth and rhythm stability compared to narrow or wide positions (p < 0.001). Conclusion: Anthropometric and positional factors significantly influence CPR performance. Emergency team members with appropriate physical profiles (e.g., greater muscle mass, limb length, BMI) and adopting occupational ergonomic factors (e.g., moderate knee range, limited joint flexion) may improve CPR quality in the prehospital setting.
AtıfScopus1OpenAlex1
İncele - MakaleYayıncıda açık erişim2025Scopus SJRQ1Explainable artificial intelligence for rock discontinuity detection from point cloud with ensemble methods
Günen, Mehmet Akif
This study presents a framework for the semi-automatic detection of rock discontinuities using a three-dimensional (3D) point cloud (PC). The process begins by selecting an appropriate neighborhood size, a critical step for feature extraction from the PC. The effects of different neighborhood sizes (k = 5, 10, 20, 50, and 100) have been evaluated to assess their impact on classification performance. After that, 17 geometric and spatial features were extracted from the PC. Next, ensemble methods, AdaBoost.M2, random forest, and decision tree, have been compared with Artificial Neural Networks to classify the main discontinuity sets. The McNemar test indicates that the classifiers are statistically significant. The random forest classifier consistently achieves the highest performance with an accuracy exceeding 95% when using a neighborhood size of k = 100, while recall, F-score, and Cohen's Kappa also demonstrate high success. SHapley Additive exPlanations (SHAP), an Explainable AI technique, has been used to evaluate feature importance and improve the explainability of black-box machine learning models in the context of rock discontinuity classification. The analysis reveals that features such as normal vectors, verticality, and Z-values have the greatest influence on identifying main discontinuity sets, while linearity, planarity, and eigenvalues contribute less, making the model more transparent and easier to understand. After classification, individual discontinuity sets were detected using a revised DBSCAN from the main discontinuity sets. Finally, the orientation parameters of the plane fitted to each discontinuity were derived from the plane parameters obtained using the Random Sample Consensus (RANSAC). Two real-world datasets (obtained from SfM and LiDAR) and one synthetic dataset were used to validate the proposed method, which successfully identified rock discontinuities and their orientation parameters (dip angle/direction).
AtıfScopus15WoS15OpenAlex19İncele - MakaleAçık Erişim2025Scopus SJRQ2A novel equation synthesis for estimating resting energy expenditure in prostate cancer patients
Tek, Nilüfer Acar; Koçak, Tevfik; Yeşil, Süleyman; Sözen, Tevfik Sinan
Background: An accurate calculation of energy expenditure (REE) is necessary for estimating energy needs in malign prostate cancer. The purpose of this research was to evaluate the accuracy of the established novel equation for predicting REE in malign and benign prostate patients versus the accuracy of the previously used predictive equations based on REE measured by indirect calorimetry. Methods: The study was conducted as a cross-sectional case-control study and between December 2020 and May 2021 with 40 individuals over the age of 40 who applied to the Urology Clinic of Gazi University Faculty of Medicine. Subjects with 41 malign prostate and 42 benign prostate patients were both over the age of 40 (65.3 ± 6.30 years) and recruited for the study. Cosmed-FitMate GS Indirect Calorimetry with Canopyhood (Rome, Italy) was used to measure REE. A full body composition analysis and anthropometric measurements were taken. Clinical trial number: Not applicable. Results: Malign prostate group PSA Total and measured REE values (4.93 ± 5.44 ng/ml, 1722.9 ± 272.69 kcal/d, respectively) were statistically significantly higher than benign group (1.76 ± 0.73 ng/ml, 1670.5 ± 266.76 kcal/d, respectively) (p = 0.022). Malign prostate group (MPG) and benign prostate group (BPG) have the highest percentage of the accurate prediction value of Eq. 80.9% (novel equation MPG) and 64.2% (novel equation BPG). The bias of the equations varied from − 36.5% (Barcellos II Equation) to 19.2% (Mifflin-St. Jeor equation) for the malign prostate group and varied from − 41.1% (Barcellos II Equation) to 17.7% (Mifflin-St. Jeor equation) in the benign prostate group. The smallest root mean squared error (RMSE) values in the malign and benign prostate groups were novel equation MPG (149 kcal/d) and novel equation BPG (202 kcal/d). The new specific equation for malign prostate cancer: REE = 3192,258+ (208,326* body weight (WT)) - (20,285* height (HT)) - (187,549* fat free mass (FFM)) - (203,214* fat mass (FM)) + (4,194* prostate specific antigen total (PSAT)). The new specific equation for the benign prostate group is REE = 615,922+ (13,094*WT). Bland-Altman plots reveal an equally random distribution of novel equations in the malign and benign prostate groups. Conclusions: Previously established prediction equations for REE may be inconsistent. Utilising the PSAT parameter, we formulated novel energy prediction equations specific to prostate cancer. In any case, the novel predictive equations enable clinicians to estimate REE in people with malign and benign prostate groups with sufficient and most acceptable accuracy.
AtıfScopus1WoS1OpenAlex1İncele - MakaleAçık Erişim2025Scopus SJRQ4Evaluation of Statistical Regions According to Preventive Health Service Indicators by Multidimensional Scaling and MOORA Methods
Köse, Aslı
Objective: This study aims to evaluate the positions of statistical regions from 2020 to 2022 based on preventive healthcare indicators and rank them by healthcare performance. Methods: Statistical regions’ positions were determined using multidimensional scaling analysis with SPSS 21 software. The MOORA ratio method was employed to rank statistical regions based on their performance scores derived from preventive health service indicators. The analysis was conducted using Microsoft Excel. Results: The highest average visits to physicians per capita in primary care was 4.11 (±0.65) in 2022, while the lowest was 2.95 (±0.49) in 2021. The number of family health centers peaked at 2266.25 (±1236.6) in 2020 and dropped to its lowest at 2228.08 (±1282.74) in 2021. The top-performing regions according to MOORA were the East Black Sea in 2020, Aegean in 2021, and West Marmara in 2022, while Southeast Anatolia consistently ranked 11th across all three years. Conclusion: There was an increase in follow-up and vaccination rates, among the indicators of preventive health services at the statistical region level, in 2021-2022 compared to 2020. Despite having the characteristics of a developed region, Istanbul ranked last in 2020 and 2022 according to performance scores.
AtıfOpenAlex1İncele - MakaleAçık Erişim2025Scopus SJRQ1Casein Supplementation Timing and Exercise Performance in Soccer Players: Pre-Sleep vs. Post-Exercise Intake—A Randomized Controlled Trial
Bayrakdaroğlu, Serdar; Ateş, Zeynep Hazal; Ceylan, Halil İbrahim; Kul, Murat; Muntean, Raul Ioan; Dhahbi, Wissem
Background: Nutrient timing strategies may influence recovery and performance in athletes; however, the effects of ingesting casein protein before sleep versus immediately after exercise remain unclear. This study compared the acute effects of pre-sleep and post-exercise ingestion of casein on high-intensity anaerobic performance in highly trained soccer players. Methods: Twenty-four highly trained male soccer players (mean age: 20.6 ± 1.8 years) were randomly assigned to three groups: post-exercise casein ingestion group (PECIG; n = 8), pre-sleep casein ingestion group (PSCIG; n = 8), and control group (CG; n = 8). Following a standardized high-intensity resistance training protocol, participants consumed 30 g of micellar casein dissolved in 300 mL of water either immediately after exercise or 30–60 min before bedtime. Performance was assessed using the Countermovement Jump (CMJ), the Illinois Agility Test (IAT), and the Running-based Anaerobic Sprint Test (RAST), which were conducted both before and 24 h after the training session. Results: Repeated-measures ANOVA revealed significant group-by-time effects for CMJ (F = 8.21, p = 0.002, η2p = 0.36) and RAST performance variables, including peak power (F = 6.94, p = 0.003, η2p = 0.32), mean power (F = 7.42, p = 0.002, η2p = 0.34), and fatigue index (F = 5.87, p = 0.008, η2p = 0.28). Post hoc analyses showed that PSCIG significantly improved CMJ (Δ = +1.45 cm; p < 0.001, d = 2.04) and RAST mean power (Δ = +125.14 W; p = 0.002, d = 1.55) compared with the control condition. PECIG significantly enhanced RAST peak power (Δ = +205.79 W; p = 0.001, d = 1.64), mean power (Δ = +128.43 W; p = 0.013, d = 1.24), and fatigue index (Δ = +4.12 W/s; p = 0.010, d = 1.29) relative to CG. No performance differences were observed between PSCIG and PECIG timing conditions (all p > 0.05). Conclusions: Both pre-sleep and post-exercise casein ingestion enhanced anaerobic performance in highly trained soccer players, with each timing method favoring different performance outcomes. However, neither strategy demonstrated superiority over the other, suggesting that casein timing may be flexibly applied according to athletes’ preferences and training contexts.
AtıfScopus1WoS1OpenAlex1İncele - MakaleAçık Erişim2025Scopus SJRQ3A comprehensive analysis of the effect of BaO incorporation on Gamma-Ray attenuation characteristics in SiO₂-B₂O₃-SrO-ZrO₂ glass systems
Kaya, Selim
This work presents an analysis of the effect of BaO incorporation on the gamma-ray attenuation properties of systematically evaluated SiO₂-B₂O₃-SrO-ZrO₂ glass matrices. Radiation shielding parameters determined using XCOM and EGS4 calculation codes were compared. There was an increase in glass density from 5.84 g/cm3 to 6.32 g/cm3 when the BaO content rose from roughly 10% to 40%. Using sophisticated WinXCom and EGS-4 calculations, the mass attenuation values (µ/ρ) of BaO doped SiO₂-B₂O₃-SrO-ZrO₂ glass systems (abbreviated BaSiBSZ) were found. This study systematically and thoroughly evaluated the effect of BaO integration on the radiation shielding capabilities of the glass system over a wide range of gamma-ray photon energies, specifically between 59.5 keV and 1332 keV. Initially, HVL (half-value layer) and MFP (mean free path) values were derived from the calculated mass attenuation coefficients. The evaluation of several crucial shielding parameters, including RPE, Zeff, ΣR, and kγ, came next. The steady reduction of SrO oxide concentration and substitution of BaO in BaSiSBZ glass systems resulted in notable modifications in radiation protection properties. The BaSiBSZ glass systems showed a similar decrease in both HVL and MFP at a constant energy level as the BaO doping concentration was progressively raised. Concurrently, a notable enhancement was noted in RPE, Zeff, ΣR, and kγ coefficients. The results demonstrate that higher BaO concentrations greatly enhance the material's radiation-shielding capabilities, enhancing both photon and neutron attenuation and bolstering the overall performance of the glass system.
AtıfScopus8WoS8OpenAlex9İncele - MakaleYalnız künye2025Scopus SJRQ3Inhibition Effect of Cordyceps sinensis (C. sinensis) Mycelium on Some Metabolic Enzymes and Investigation of Antioxidant Properties
Balcı, Neslihan
Cordyceps sinensis (CS), a traditional medicinal fungus, is a rich source of bioactive metabolites with pharmacological potential. This study investigated the inhibitory effects of CS mycelium on human carbonic anhydrase isoenzymes I and II (hCA I and hCA II) and acetylcholinesterase (AChE), as well as its antioxidant properties. Enzyme inhibition was assessed using spectrophotometric methods, whereas antioxidant capacity was evaluated by DPPH, ABTS, CUPRAC, FRAP, and Fe3⁺-reducing assays. LC-MS/MS analysis identified key secondary metabolites, including apigenin, apigenin-7-glucoside, (+)-taxifolin, dihydrokaempferol, p-coumaric acid, salicylic acid, and L-theanine, with apigenin as the major constituent. CS strongly inhibited hCA I (IC50 = 1.11 µg/mL) and hCA II (IC50 = 1.77 µg/mL), exceeding the potency of acetazolamide, and also showed relevant AChE inhibition (IC50 = 8.00 µg/mL), comparable to tacrine. Antioxidant assays revealed moderate DPPH activity but strong ABTS and CUPRAC reducing capacities, indicating the structural contributions of flavonoids and phenolic acids. These findings suggest that CS possess dual bioactivity through enzyme inhibition and antioxidant effects, highlighting its therapeutic potential against neurodegenerative and oxidative stress–related diseases.
- MakaleYalnız künye2025Scopus SJRQ2Oriental beech (Fagus orientalis L.) steaming condensate: phenolic composition and functional activities
Akmeşe, Osman; Sivrikaya, Hüseyin; Baltacı, Cemalettin
This study presents a comprehensive investigation of the bioactive properties of the condensate formed during the steaming treatment of beech wood (Fagus orientalis L.). The phenolic compound profile, antioxidant capacity, enzyme inhibition, and antimicrobial activity of the condensate were evaluated using multiple analytical methods. Rich in total phenolic content (339.20 mg GAE/g) and flavonoid levels (79.74 mg QE/g), the condensate exhibited strong reducing power in the ferric reducing antioxidant power assay (FRAP), while demonstrating moderate radical scavenging activity in the DPPH (2,2-diphenyl-1-picrylhydrazyl) and ABTS (2,2′-azinobis (3-ethylbenzothiazoline 6-sulfonic acid)) tests. In antimicrobial assessments, the condensate was found to be effective against Gram-positive bacteria, Staphylococcus aureus and Bacillus cereus as well as Candida albicans as a pathogen fungus, while showing lower activity against Gram-negative bacteria. Its antifungal efficacy was found to be notable when compared to nystatin. Although the IC₅₀ value of the condensate in α-amylase inhibition assays (1320.00 µg/mL) was weaker than that of the reference inhibitor acarbose (33.26 µg/mL), the results indicate its potential as a plant-based enzyme inhibitor candidate. Fourier transform infrared (FTIR) spectroscopy revealed characteristic peaks associated with lignin derivatives, carbohydrates, and ester bonds in the condensate. LC–MS/MS analyses identified chlorogenic acid (1581.65 µg/g) as the major phenolic compound, along with ferulic acid and rosmarinic acid. Beech steaming condensate stands out as a valuable bioactive resource in the context of industrial by-product valorization. With its antioxidant, antimicrobial, and enzyme-inhibitory properties, it holds promising potential for applications in the food preservation, pharmaceutical, and cosmetic industries. These findings may contribute to the sustainability of the forest industry from a circular economy perspective.
AtıfOpenAlex1İncele - MakaleAçık Erişim2025Scopus SJRQ1Re-evaluation of excavation class limits for underground excavations based on new data
Gurocak, Zulfu; Kaya, Ayberk; Kanik, Mustafa; Alemdag, Selcuk
Many researchers have proposed empirical excavatability classifications to easily and quickly assess rock masses. These classifications mostly apply to surface excavations, while those for underground excavations are limited. Updating the classifications proposed for underground excavations based on new data is important in terms of eliminating the deficiencies in this regard. This study determined the engineering properties (RMR, Q, GSI), rock material strengths, and in-situ excavation classes of 16 underground rock masses. The new data were compared with excavation classifications from various researchers and empirical classes. The study found that empirical classifications for surface conditions are not applicable for underground. Excavation is more challenging in underground conditions due to stress from overburden. While excavation classes align for good to very good rock masses in both conditions, there is no perfect match for medium, weak, and very weak rock masses for underground. The study suggests that for underground excavation classes (blasting, hammer&blasting, hammer, and digging), both RMR89 and Q values should be used together to differentiate between classes. When using GSI for classification, the Is(50) value of the rock material should also be considered. The σcm parameter is the most critical in evaluating rock mass excavatability.
- MakaleAçık Erişim2025Scopus SJRQ3The relationship between internet and smartphone addiction and body mass index: The mediating role of eating behaviors
Türkkan, Tuğba; Bülbül, Kenan; Yilmaz, Hacı Ömer; Meriç, Çağdaş Salih
This research was conducted determine the mediating role of eating habits in the effect of internet and smartphone addiction on body mass index. The study group consisted of 604 individuals aged between 18 and 45 years (Mean(Age) = 21.07, SD = 3.00). Data were collected using Young Internet Addiction Scale, Smartphone Addiction Scale Short Form and Three-Factor Eating Questionnaire. Findings show positive correlations between internet addiction and smartphone addiction with uncontrolled eating, cognitive restraint and emotional eating behavior. Internet and smartphone addiction were determined to positively predict emotional eating behavior, uncontrolled eating behavior and cognitive restraint. The direct effect and total effect of internet addiction on body mass index were insignificant. However results show that both smartphone and internet use by individuals affect body mass index mediated by eating behavior. This is the first study showing that smartphone and internet use both affected body mass index mediated by eating behavior. Research results emphasise the threat of addiction on physical health and suggest that educational and cognitive dietary interventions can contribute to healthy eating habits. Additionally, considering the internet may be used as an emotion regulation strategy, intervention programs may focus on developing emotion regulation skills aiming to develop coping ability for negative emotions to reduce emotional or uncontrolled eating.
AtıfScopus4WoS5OpenAlex7İncele - MakaleAçık Erişim2025Scopus SJRQ1Preserving local gastronomy as cultural heritage in Türkiye: a qualitative study on sustainable valorization of fethiye wedding foods
Özdemir, Özcan; Akyürek, Suat; Bahar, Ozan
Food and beverages are integral elements of cultural heritage, reflecting societies’ histories, identities, and values. However, globalization and changing lifestyles have diminished the diversity of traditional cuisines, posing a threat to their preservation. Showcasing these culinary traditions, particularly in tourism destinations, can contribute to raising awareness and safeguarding cultural heritage. This study investigates the traditional wedding foods and table customs of Fethiye, which are at risk of being forgotten, and explores their potential as tourism assets. A qualitative research design was applied, combining semi-structured interviews with local experts and direct observations at wedding ceremonies. The findings reveal that Fethiye’s gastronomic traditions hold significant potential for sustainable tourism development. The study concludes by offering practical recommendations and highlighting the importance of community participation in preserving culinary heritage.
AtıfOpenAlex3İncele - MakaleAçık Erişim2025Scopus SJRQ3Effects of Varying Ratios of Hawthorn Fruit Extract on Nesfatin-1, GLP-1 and cTnI Response in Streptozotocin-induced Diabetic Rats
Özcan, G. Böyük; Kaya, H.
Background: The aim of this study was to investigate the ef fects of Hawthorn (Crataegus oxyacantha) Fruit Extract on the response of nesfatin-1, Glucagon-like peptide 1 (GLP-1) and cardiac troponin I (cTnI) in STZ-induced diabetic rats. Methods: This study utilized 64 adult male Wistar albino rats, aged 8-10 weeks and weighing an average of 195-215 g. Eight groups were randomly selected, each comprising eight rats designated as Control (C), H100, H200, H300; Diabetes Control (DC), DH100, DH200, DH300. Blood samples were collected from the tail vein (vena caudalis) of all individuals on days 0 and 21 of the research. The serum levels of Nesfatin-1, GLP-1 and cTnI were quantified and assessed using the ELISA technique. Result: In diabetic groups, the increase in serum mean nesfatin-1 and cTnI levels was most pronounced in DC groups, while the most significant decrease due to increased HFE supplementation was observed in DR200 groups (p<0.01); whereas in diabetic groups, the decrease in serum mean GLP-1 levels was observed in DC group, while the most significant increase due to increased HFE supplementation was detected in DG200 group. As a result, it was concluded that 200 mg/kg RPE administration to healthy and di abetic rats di d not cause any side eff ects. It was concluded that HFE, which has an anti-diabetic eff ect by regulating the inflammatory response that plays a role in the development of diabetes, decreasing nesfatin-1 levels and increasing GLP-1 levels, may be useful in supporting the impaired pancreatic beta cell function that occurs in diabetes.
AtıfScopus1WoS1İncele - MakaleAçık Erişim2025Scopus SJRQ2Navigating stress with creativity: The moderating role of conflict-induced creativity on job satisfaction among entrepreneurs
Özsungur, Fahri; Bekar, Fevziye
Background: Entrepreneurs frequently encounter high levels of job stress, which can undermine their job satisfaction. Although the negative consequences of stress are well-known, less attention has been paid to the role of Conflict-Induced Creativity in buffering these effects. Objective: This study investigates how Conflict-Induced Creativity moderates the relationship between job stress and job satisfaction among entrepreneurs, addressing a gap in understanding adaptive mechanisms in high-pressure work environments. Methods: Using a quantitative design, data were collected from 453 entrepreneurs through convenience sampling. Statistical analyses included factor analyses, correlations, regressions, and moderation testing via PROCESS MACRO in SPSS v.22. Results: Validated scales assessed job satisfaction (α = 0.934), job stress (α = 0.919), and Conflict-Induced Creativity (α = 0.832). Job stress negatively predicted job satisfaction (β = −0.126, p < 0.001), while Conflict-Induced Creativity emerged as a strong positive predictor (β = 0.688, p < 0.001). Moderation analysis confirmed that Conflict-Induced Creativity significantly buffered the adverse effects of stress on satisfaction (b = 0.147, 95% CI [0.048, 0.245], p < 0.05). Conclusion: Conflict-Induced Creativity plays a protective role in stressful entrepreneurial contexts. Practically, fostering a work culture that supports Conflict-Induced Creativity can enhance resilience and job satisfaction among entrepreneurs, offering actionable insights for leadership development, training programs, and organizational policy.
AtıfOpenAlex1İncele - MakaleYalnız künye2025Scopus SJRQ3One-step kinetic analysis of Listeria innocua growth as a surrogate for Listeria monocytogenes on arugula leaves with background microbiota: model development and validation
Ozturk, Samet
This study investigated the growth kinetics of L. monocytogenes and L. innocua on fresh arugula leaves under abusive conditions, considering the presence of background microbiota (BM) including (APC (Aerobic Plate Count), TPC (Total Psychrotrophic Count), and LAB (Lactic Acid Bacteria)). Additionally, the feasibility of using L. innocua as a surrogate for L. monocytogenes was evaluated for industrial practices. Predictive models were developed to assess the effect of temperature and time on the growth kinetics of both microorganisms. Experiments were conducted in triplicate to observe growth kinetics at temperatures from 5 to 35°C. The growth curves were analyzed using one-step analysis with the USDA IPMP-Global Fit software, employing the Huang full/no-lag phase growth as the primary models and the Huang sub-optimal (HSRM) and Ratkowsky sub-optimal square-root as the secondary models. An additional set of isothermal data, collected at 15°C and 20°C, was used to validate the models. Results showed that the minimum growth temperatures were 2.91±0.50°C for L. monocytogenes and 2.88±0.50°C for L. innocua, while 2.05±0.89, 1.93±0.98 and 3.55±1.97°C for APC, TPC and LAB, respectively. The specific growth rates of L. monocytogenes and L. innocua ranged from 0.01 to 0.93 h⁻¹. The root mean square error (RMSE) of model validation and development was less than 0.3 log CFU/g, indicating that the combination of the Huang growth model with HSRM could accurately predict the growth of L. monocytogenes under abusive conditions. Validated models can provide useful input to quantitative risk assessment tools to predict the growth of L. monocytogenes on arugula leaves in the presence of BM during distribution or storage. The findings of this study support the use of L. innocua with R2=0.961 as a suitable surrogate in industrial practices for fresh produce.
AtıfScopus1WoS1İncele - MakaleAçık Erişim2025Scopus SJRQ3THE IMPACT OF CLEAN ENERGY RESEARCH AND DEVELOPMENT, HEALTH EXPENDITURE, AND ECONOMIC GROWTH ON ENVIRONMENTAL QUALITY
Al, I.; Akbulut Yildiz, G.; Yildiz, B.
This study investigates the impact of clean energy technologies, health expenditure, and economic growth on environmental quality using the Fourier Engle-Granger cointegration method for the United States in the 1974–2022 period. The Fourier approach successfully identifies gradual structural shifts and nonlinear dynamics in long-run relations, which are frequent in macroeconomic and environmental time series but are typically overlooked by standard approaches. The findings show that clean energy research and development investment—specifically in energy efficiency, renewable resources, and nuclear technologies—and health expenditures significantly positively impact environmental quality. However, economic growth has a negative impact environmental quality in the United States. These results highlight the necessity of integrating environmental objectives into energy and health policy and prioritizing investment in sustainable technologies to achieve ecological sustainability in the long term.
- MakaleAçık Erişim2025Scopus SJRQ4In-depth review of industry 4.0: research implications and future perspectives; [Endüstri 4.0'ın derinlemesine incelemesi: araştırma sonuçları ve gelecek perspektifleri]
Gurcan, Fatih; Cam, Handan; Ahmed, Sana
The term “Industry 4.0” signifies a pivotal stage in industrial development, representing the current wave of transformation characterized by the integration of digital technologies into manufacturing and business processes. This concept spans multiple disciplines, including industrial engineering, data science, marketing, and strategic management. While a considerable volume of research has been conducted under the umbrella of Industry 4.0, there remains a lack of a comprehensive synthesis that captures the full scope and evolution of the field. The objective of this study is to systematically analyze, classify, and evaluate published research related to Industry 4.0, while identifying key gaps and forecasting potential future research directions. To accomplish this, a total of 10,696 journal articles indexed in the SCOPUS database from 2013 to 2023 were analyzed. The Latent Dirichlet Allocation (LDA) algorithm—a widely used probabilistic topic modeling technique in text mining—was applied to uncover latent themes within the literature. The analysis revealed 41 major topics, which were subsequently organized into five overarching categories: Sustainability, Manufacturing, Technology, Process, and Management. Findings indicate a notable shift in research emphasis over the past decade—from predominantly technical and engineering-focused issues toward broader concerns involving process optimization and organizational management. This transition highlights the growing importance of interdisciplinary approaches in addressing the complex challenges posed by Industry 4.0. Ultimately, this study not only maps the intellectual structure of existing research but also serves as a valuable resource for scholars, helping to navigate emerging trends and target underexplored areas in future investigations. This comprehensive thematic overview supports academics in pinpointing neglected subject areas, aligning future investigations with emerging priorities, and refining the strategic focus of Industry 4.0 research agendas.
- MakaleYalnız künye2025Scopus SJRQ1The effect of testicular self-examination education on health beliefs in adult men: a systematic review and meta-analysis
Korkmaz, Mehmet; Yildirim, Tugba; Altun, Elif; Uzun, Sevda; Kayalar, Aycan
Purpose: Testicular cancer is primarily detected by the patient or their sexual partner and is most commonly diagnosed in men between the ages of 15 and 35. This study aims to assess the impact of self-examination education on health beliefs among adult men. Materials and methods: This study, which is a systematic review and meta-analysis, obtained studies by searching PubMed, Web of Scıence, EBSCOhost, Google Scholar, ProQuest and YOK Thesis Centre databases without a year limitation. After the reviews, 12 studies were included in the study. Data were synthesised by meta-analysis and narrative methods. Results: The findings of this systematic review and meta-analysis demonstrate that self-examination education significantly influences health beliefs in adult men (SMD: 1.790; 95% CI: 0.954 to 2.624; Z = 4.198, p = 0.00; I² = 99.109%). Conclusion: This study highlights that self-examination education may play an influential role in the shaping of adult men’s health beliefs, potentially contributing to the early detection and prevention of testicular cancer.
- MakaleYalnız künye2025Scopus SJRQ1A comparative study of Kolmogorov-Arnold networks and multilayer perceptrons for software defect prediction with SHAP analysis
Turk, Salih; Coskuncay, Ahmet
Software defect prediction is essential for enhancing software quality by detecting software errors early in the development lifecycle. This article presents the usage and a detailed evaluation of Kolmogorov-Arnold Networks (KAN) and Multilayer Perceptrons (MLP) over eleven prevalent software defect prediction datasets, namely CM1, JM1, KC1, KC3, MC1, MC2, MW1, PC1, PC3, PC4, and PC5. The defect prediction models were established and evaluated using five principal performance metrics: Accuracy, Precision, Recall, F1 Score, and Area Under the Curve (AUC). The experimental findings indicate that KAN consistently surpasses MLP in all datasets and metrics. KAN attains an average accuracy enhancement of almost 12% compared to MLP and demonstrates substantial improvements in precision and recall, rendering it more dependable in detecting defected modules. The paired t-test findings indicate that the performance disparities between KAN and MLP are statistically significant (p-value< 0.05) for the majority of metrics. Also SHAP analysis was performed to determine the important rankings of features for all datasets according to the FastKAN model. This study underscores the promise of KAN as a superior alternative to traditional neural networks for software defect prediction. The results highlight the significance of the usage of sophisticated neural network topologies in tackling intricate software engineering challenges.
AtıfScopus3WoS1OpenAlex2İncele - MakaleYayıncıda açık erişim2025Scopus SJRQ1Chrome waste utilization in base layers: Mechanical strength and environmental risk assessment
Seferoğlu, Mehmet Tevfik; Acı, Elif Nur
This study investigates the partial substitution of natural aggregate (Na) with chrome mine waste (Crw) in highway base layers, focusing on mechanical performance and environmental safety. Crw-Na mixtures with contents from 0 % to 100 % were tested using CBR, cyclic plate loading, chemical, and leachate tests. The 15 % Crw-85 % Na mixture achieved the highest CBR (287.4 %) with limited deformation (37 mm). Although the 60 % Crw blend also met the required strength level (156.6 %), it showed higher settlement (50 mm) and three times greater vertical strain. SEM-EDX and chemical results indicated increased magnesium content and mineral changes at higher Crw ratios. Leachate tests confirmed compliance with TS266 and international water standards; all samples were categorized as neutral drainage with low metal risk. The findings show that Crw improves strength without causing environmental risk. Among tested mixtures, 15 % Crw offered the most balanced outcome in terms of field stability and performance.
AtıfScopus2WoS2İncele