Karamanoğlu Mehmetbey University
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Corrigendum to “computing degree based topological indices of algebraic hypergraphs” [heliyon volume 10, issue 15, august 2024, e34696] (heliyon (2024) 10(15), (s240584402410727x), (10.1016/j.heliyon.2024.e34696))
No full textIn the original published version of this article, there are a few minor figurative and numerical updates: 1. In the proof of Theorem 6, we would like to update the hyperedge to {u1, u4, u5} instead of {u4, u5}. This change affects Figure 2 and 5 (only for Z24).2. In the proof of Theorem 7, hyperedge E3 is extraneous.3. In the proof of Theorem 8, we want to update the degree to d(u10) = 6 instead of d(u10) = 5.As a result of these changes, the numerical values of the topological indices must also be updated. In the published version: Theorem 6: Let [Formula presented]. Then, [Formula presented] [Formula presented] Proof: Let us consider the ideals [Formula presented] are obtained by vertex partition technique. Hence, we get [Formula presented] [Formula presented] [Formula presented] [Formula presented]-Graph and Hypergraph Representations[Figure presented] The authors apologize for the errors. Both the HTML and PDF versions of the article have been updated to correct the errors. © 2025 The Author(s
A genetic programming-based ensemble method for long-term electricity demand forecasting
No full textThis study introduces a novel genetic programming-based ensemble method for forecasting long-term electricity consumption in Ethiopia. The technique utilizes a two-stage ensemble approach to project Ethiopia’s electricity consumption through 2031. In the initial stage, genetic algorithms, particle swarm optimization, and simulated annealing methods are applied to various regression models (linear, quadratic, and exponential). The preliminary forecast values generated in this stage were further refined in the second stage. Here, the genetic programming method was utilized to develop a formula based on the initial forecast values, which then provided the final forecast results. The most accurate predictions in the first stage were obtained using the GA_Quadratic, PSO_Quadratic, and SA_Quadratic methods, resulting in mean absolute percentage error (MAPE) values of 3.61, 3.63, and 4.68, respectively. In the second stage, the GP-based prediction achieved an even lower MAPE value of 2.83. Other error metrics, including MSE, root mean square error (RMSE), and R2, were also evaluated, with the proposed model outperforming all methods from the first stage on these metrics. The study projected Ethiopia’s total annual electricity consumption through 2031 under two different scenarios. Both scenarios indicate that by 2031, electricity consumption will have tripled compared to 2021 levels. Copyright 2025 Issa et al. Distributed under Creative Commons CC-BY 4.
Consistency problems of conformal killing gravity
No full textWe show that gravity field equations based on a tensor with rank greater than 2 have consistency problems in the sense that integration constants in the solutions, such as the parameter m in the Schwarzschild metric, do not allow for an interpretation in terms of conserved quantities in the theory. The recently introduced conformal Killing gravity, an interesting extension of general relativity that inherits all the solutions of the latter, and defined with a rank-3 tensor field equation that does not arise from a diffeomorphism-invariant action, is plagued with this problem. In this theory, it is not clear at all how one can define the energy and angular momentum for black hole solutions, or define the analogs of the formulas, such as the quadrupole formula, in the weak field limit for gravitational waves emitted by compact sources
What is the physical and mental health status of individuals playing tennis recreationally during the pandemic process?
Get PDFThe aim of our study is to investigate the physical and psychological state of individuals who play tennis recreationally during the pandemic process. 206 individuals who have been playing tennis recreationally for at least 1 year participated in the study. As a data collection tool, demographic information questionnaire, International Physical Activity Questionnaire-Short Form (IPAQ-SF), and SF-12 Brief Health Questionnaire were used. The data were analyzed in 2.0.0 Jamovi statistics program; Descriptive statistics were analyzed using Mann Whitney U test, Kruskal Wallis test, and ANCOVA test. According to the findings of the study, there was no statistically significant difference between the groups in the physical and mental health scores of the participants according to the MET level (p>0.05). Men's physical health mean scores and women's mental health scores were higher. Physical health mean scores of non-smokers were higher than smokers, and there was a statistically significant difference in favor of non-smokers in physical health scores (p<0.05). As a result, the physical and psychological conditions of individuals who play tennis recreationally are generally at a good level. During the pandemic period individuals may be advised to play tennis. © Copyright 2025: Publication Service of the University of Murcia, Murcia, Spain
Assessment of the criteria importance for determining solar panel site potential via machine learning algorithms, a case study Central Anatolia region, Turkey
No full textIn this study, 16 criteria influencing solar energy potential were identified, and interactions with 1311 existing solar power plants were examined using MaxEnt and Logistic Regression methods. Unlike traditional site suitability studies in the literature, this study determined criterion weights solely based on natural intersections of criteria with locations of existing solar power plants, without artificial weight assignment. Thus, correlations demonstrated by 1311 solar power plants across the 16 criteria were used to create solar energy potential maps for the entire study area. The MaxEnt analysis yielded an AUC value of 0.760, while the LR method calculated an R2 value of 0.7904, indicating high correlation between all points and specific criterion values, with approximately 80 % of the study area's solar energy potential being determined by these criteria. In MaxEnt, criteria such as distance from land use, highways, and power transmission lines were highlighted, while LR showed that temperature-related criteria also significantly influenced potential determination. The study found that 6.21 % of the study area had the highest potential using MaxEnt, and 8.71 % using LR, with Aksaray, Karaman, Ereğli, and Karatay identified as districts with the highest potential. The correlation value between the results of both methods has been calculated as 0.756. © 2024 Elsevier Lt
Physical education preservice teachers' perspectives on practice-based teacher education pedagogies: Teaching rehearsals and repeated teaching
No full textPurpose: The purpose of this study was to explore preservice teachers' perspectives on two practice-based teacher education pedagogies, teaching rehearsals and repeated teaching, in eight physical education teacher education programs. Method: We employed a multiple case study design. Thirty-eight preservice teachers (four to six per program) participated in the study (female, n = 20; male, n = 18; sophomore, n = 7; junior, n = 12; senior, and n = 19). A semistructured interview was conducted to collect data. The data were analyzed using inductive thematic analysis, followed by magnitude coding. Results: Five themes were identified from the data: (a) improved practices in classroom management, (b) improved effectiveness in providing instructions, (c) enhanced content knowledge, (d) learning from peers, and (e) perspectives toward teaching rehearsals and repeated teaching. Discussion/Conclusion: The findings provide evidence of the acceptability of two practice-based teacher education pedagogies as teacher education practices by preservice teachers
Predictive factors of cardiac function recovery and mortality in patients with reduced ejection fraction undergoing transcatheter aortic valve implantation
Get PDFBackground and Objectives: Patients with reduced left ventricular ejection fraction (LVEF) are reported to have unfavorable outcomes following transcatheter aortic valve implantation (TAVI). This study aims to evaluate outcomes and identify predictive factors for LVEF recovery following TAVI in patients with reduced LVEF. Materials and Methods: This retrospective study analyzed 114 patients with symptomatic severe aortic stenosis (AS) with LVEF < 40% who underwent TAVI between 2011 and 2023 at two centers. Echocardiographic parameters, including LVEF, ventricular dimensions, and relative wall thickness (RWT), were assessed at baseline and during follow-up. The outcomes and predictors of substantial LVEF improvement and mortality were analyzed using univariate and multivariate logistic regression methods. Results: Anemia (OR = 4.345, 95% CI: 1.208-15.626, p = 0.024), RWT (OR = 1.224, 95% CI: 1.064-1.407, p = 0.005), and early post-procedural changes in left ventricular end-systolic dimension (LVESD) (OR = 1.297, 95% CI: 1.037-1.622, p = 0.023) and left ventricular end-diastolic dimension (LVEDD) (OR = 1.346, 95% CI: 1.034-1.753, p = 0.027) at one-month follow-up were identified as significant factors associated with LVEF recovery at one year. Regarding factors related to mortality, higher baseline AVMG levels were associated with a lower probability of death after one year (OR = 0.926, 95% CI: 0.875-0.979, p = 0.007). Conversely, a more limited increase in LVEF from baseline to the final follow-up was linked to poor prognosis and higher mortality at one year (95% CI: 1.045-1.594, p = 0.018). Conclusions: This study demonstrated that TAVI in patients with AS and reduced LVEF can be performed with high procedural success, low mortality, and significant improvement in cardiac function during follow-up. Additionally, anemia, baseline RWT, and early post-procedural changes in LVESD and LVEDD were identified as factors associated with LVEF recovery. Baseline AVMG and changes in LVEF at the final follow-up were found to be significant predictors of total mortality
Determination and modelling of the effect of Kitaibelia balansae extract on bacteria with artificial intelligence
No full textBu çalışmada Kitaibelia balansae L. bitkisi yapraklarından fenolik bileşik ekstrakte
edilmesi amacıyla optimizasyon yapılmış ve elde edilen optimum noktadaki ekstraktın
mikroorganizmalar üzerine etkisi araştırılmıştır. K. balansae’den fenolik maddeler
ultrasound destekli ekstraksiyon yöntemi ile 30 dakika süreyle yapılmıştır. BoxBehnken deneme deseni oluşturulmuş ve cevap yüzey yöntemi (RSM) ile optimum
nokta bulunmuştur. Optimize edilen parametreler: sıcaklık (°C), % ultrasound gücü
(US Gücü) ve % etanol konsantrasyonudur. Deneme desenine göre toplam fenolik
madde miktarı (TPC), radikal süpürücü aktivite (DPPH-IC50) ve antioksidan aktivite
(TEAC) analiz yapılmıştır. Analiz sonuçlarına göre RSM’de optimum nokta 38°C,
%95 US gücü ve %38 etanol konsantrasyonu olarak bulunmuştur. Optimum noktada
ekstraksiyon yapılıp ekstrakt E. coli, S. aureus, L. lactis ve L. fermentum üzerinde
oluşabilecek aktivatör ve inhibitör etkiler incelenmiştir. 8 ve 10 log kob/mL başlangıç
bakteri konsantrasyonuna ayarlanmış bakterilerin üzerine ekstrakt ilave edilmiş, farklı
sıcaklıklarda (25°C ve 37°C) ve 24 saat inkübe edilmiştir. Elde edilen sonuçlar çoklu
regresyon analizi (MRA), gauss süreç regresyonu (GPR), destek vektör makinesi
(SVM) ve sinir ağları (NNet) ile analiz edilmiş ve modellenmiştir. Sonuç olarak yapay
zekâ modelleri aktivasyon ve inhibisyonu açıklayan en uygun modeller olduğu tespit
edilmişir. Yapay zekâ modelleri arasında ise aktivatör ve inhibitör aktiviteyi açıklayan
en uygun model GPR olarak tespit edilmiştir. K. balansae yapraklarından elde edilen
ekstraktın E. coli ve S. aureus üzerine inhibitör, L. lactis ve L. fermentum üzerine ise
aktivatör etkisi olduğu bulunmuştur.In this study, the extraction of phenolic compounds from the Kitaibelia balansae L.
leaves was optimised and the effect of the extract obtained at the optimum point on
microorganisms was investigated. Phenolic substances from K. balansae were
extracted by ultrasound assisted extraction method for 30 minutes. The optimum point
was found by response surface method (RSM) with Box-Behnken experimental
design. The optimised parameters were temperature (°C), % ultrasound power (US
power) and % ethanol concentration. According to the results of total phenolic content
(TPC), radical scavenging activity (DPPH-IC50) and antioxidant activity (TEAC)
analyses according to the experimental design, the optimum was found as 38°C, 95%
US power and 38% ethanol concentration in RSM. Extraction was performed at the
optimum point and the activator and inhibitor effects of the extract on E. coli, S.
aureus, L. lactis and L. fermentum were analysed. Bacteria adjusted to 8 and 10 log
cfu/mL initial bacterial concentration were incubated at different temperatures (25°C
and 37°C) for 24 hours. The results obtained were analysed and modelled by multiple
regression analysis (MRA), gaussian process regression (GPR), support vector
machine (SVM) and neural networks (NNet). As a result, artificial intelligence models
were the most appropriate models to explain activation and inhibition. Among the
artificial intelligence models, GPR was found to be the most appropriate model
explaining the effect. The extract obtained from K. balansae leaves was found to have
inhibitory effect on E. coli and S. aureus and activator effect on L. lactis and L.
fermentum
Enhancing mechanical performance of glass fiber reinforced gypsum composites with carbon black and magnetite: An integrated optimization approach
Get PDFThis study presents a comprehensive optimization methodology that integrates Taguchi Design of Experiments (Taguchi DoE), data augmentation, and the Cuckoo Search Algorithm (CSA) to improve the mechanical and electromagnetic characteristics of gypsum-based composites reinforced with carbon black, magnetite, and glass fiber. The effects of these additives on compressive and flexural strengths were evaluated using an L16 orthogonal array, and optimal mixes were determined. The hybrid model attained a compressive strength of 32.23 MPa and a flexural strength of 1.41 MPa, demonstrating remarkable prediction accuracy (R2 > 0.95). The integrated approach also allows cost-effective creation of multifunctional gypsum composites with improved mechanical and electromagnetic properties, in line with advanced construction material development
Effects of blood flow restriction resistance exercise versus traditional resistance exercise in voluntary exhaustion on quadriceps muscle adaptations in untrained young males: a randomized trial
Get PDFThis study compared the effects of blood flow restriction resistance exercise (BFR-RE) and high-load resistance exercise (HL-RE) in voluntary exhaustion on quadriceps muscle adaptations in untrained young males. Materials and Methods: This study used a randomized controlled design that included 30 untrained young males (age = 21.42 ± 2.51). The BFR-RE group performed leg extension exercises with 60% occlusion pressure and 30% of one maximum repetition in volitional exhaustion. The same exercise was conducted at 70% 1RM in the HL-RE group. Fourteen variables were used to evaluate the intervention efficacy, including muscle thickness, stiffness, strength, cross-sectional area (CSA), and subcutaneous fat thickness. Analyses were reported using frequentist and Bayesian approaches. The Bayes factor (BF10 and BFincl) was interpreted based on negative and positive values. Results: The results revealed that the main effect of time was statistically significant for muscle strength, thickness, CSA, and stiffness (p 1) and, in intragroup comparisons, both groups showed improvements in these parameters (p 1). A statistically significant decrease in subcutaneous fat thickness was observed in the BFR-RE group (p 1), while this change was not observed in the HL-RE group (p > 0.05, BF10 1) but not in the HL-RE group (p > 0.05, BF10 0.05, BFincl 1), and a statistically significant difference in favor of the BFR-RE group was observed in the intergroup comparisons (p 1). Conclusions: In conclusion, BF-RE exercise with voluntary exhaustion may be as effective as HL-RE for hypertrophic adaptations in untrained young males