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Listeleniyor 1 - 20 / 2028

Immunomodulatory and skin-compatible effects of Amaranthus retroflexus volatile compounds: An in-silico network and pathway-based approach
(KEAI PUBLISHING LTD, 2025) Aytar, Erdi Can; Gümrükçüoğlu, Abidin; Torunoğlu, Emine İncilay; Al-Farraj, Saleh; Sillanpää, Mika
Background: This study investigated the phytochemical profile, in silico skin sensitization, cosmetic toxicity, and endocrine-disrupting potential of compounds from Amaranthus retroflexus identified through GC-MS analysis. Methods: Volatile constituents were identified using gas chromatography-mass spectrometry (GC-MS) analysis. The safety profiles of the major compounds were evaluated through in silico toxicity prediction models, including keratinosens, local lymph node assay (LLNA) and human cell line activation test (h-CLAT), along with molecular docking analysis to assess their endocrine-disrupting potential. Results: A total of 39 distinct compounds were identified, with a predominant presence of unsaturated fatty acid methyl esters, including 9,12-octadecenoic acid, methyl ester (47.275 %) and 9-octadecenoic acid, methyl ester (22.790 %). Other notable compounds included methyl stearate (3.063 %), Squalene (9.687 %), and various alkanes. In silico skin sensitization analysis demonstrated that all five key compounds, including hexadecenoic acid methyl ester, methyl stearate, and squalene, fell within the applicability domain of the predictive models. High predictive confidence was observed in both the KeratinoSens and LLNA models, whereas the h-CLAT model exhibited lower predictive reliability. Cosmetic toxicity predictions revealed moderate to high risks for skin and eye irritation, particularly with Squalene, but the compounds were considered safe regarding systemic toxicity and photo-related effects. Furthermore, endocrine-disrupting potential was evaluated via in silico binding affinity analysis, which revealed minimal interaction with nuclear receptors. Conclusion: These findings highlight the potential of the plant extract for dermatological applications, while emphasizing the need for further evaluation of its safety in topical use.
Optimal real PIDD² controller design for vehicle cruise control via Levy flight-based White Shark Optimizer with Nelder-Mead algorithm
(SPRINGERNATURE, 2025)
Vehicle cruise control systems have become essential components of modern automobiles, offering significant benefits in driving comfort, fuel efficiency, and road safety. An effective control strategy is crucial for ensuring reliable performance. In this paper, a real PIDD² (proportional–integral–derivative plus second-order derivative) controller is proposed to address the challenges associated with achieving efficient and robust cruise control. To optimally tune the real PIDD² controller parameters, we develop a novel metaheuristic approach that enhances the white shark optimization (WSO) algorithm using Lévy flight and the Nelder–Mead method.While Lévy flight improves global exploration, the Nelder–Mead method strengthens local exploitation, resulting in the proposed L-WSONM algorithm. To validate its robustness and effectiveness, L-WSONM is extensively tested on complex optimization problems from the CEC2020 benchmark suite and compared with several high-performance algorithms, including gray wolf, pufferfish, golden jackal, reptile search, white shark, tunicate swarm, prairie dog, and seagull optimizers. The results show that L-WSONM consistently delivers superior solution quality and faster convergence rates, with the exception of functions F2 and F9. Finally, L-WSONM is applied to fine-tune the parameters of the real PIDD² controller for vehicle cruise control. Simulation results demonstrate that the L-WSONM-based real PIDD² controller achieves zero overshoot, a rise time of 0.463 s, and a settling time of 0.692 s, outperforming the original WSO and other recent approaches from the literature.
Accurate prediction of gamow-teller beta-decay matrix elements via machine learning: Implications for nuclear structure
(ELSEVIER, 2025) Yeşilkanat, Cafer Mert; Akkoyun, Serkan
Accurate prediction of Gamow-Teller (GT) beta decay matrix elements [M(GT)] is essential for elucidating complex nuclear structure phenomena and understanding astrophysical processes. In this study, we employed five advanced machine learning models (Cubist, Support Vector Regression, Extreme Gradient Boosting, Random Forest, and Bayesian Regularized Neural Networks) to predict GT beta decay matrix elements in sd-shell nuclei, using experimental data from NNDC/ENSDF, NUBASE2016, and AME2016. This study systematically compared the predictive performance of traditional theoretical approaches (including the USDB, IM-SRG, CCEI, and CEFT) to that of advanced machine learning models trained based on experimental observations. Our primary objective was to determine whether data-driven models could achieve higher predictive accuracy than computationally expensive theoretical models by learning the complex and nonlinear relationships among experimental parameters that reflect nuclear structure and decay dynamics. The results demonstrate that the Cubist model achieves a significantly lower RMSE (0.073 in the full parameter modeling approach and 0.112 in the reduced parameter modeling approach) and high coefficients of determination (R2 = 0.901 and 0.919, respectively), thereby outperforming traditional methods. Furthermore, SHapley Additive exPlanations (SHAP) analysis revealed that a minimal set of critical nuclear parameters predominantly governs GT decay dynamics, thereby enhancing model interpretability without compromising predictive accuracy. Complementing these findings, an online calculator was developed to facilitate rapid, highfidelity predictions of GT matrix elements. Overall, our study demonstrates that a data-driven approach outperforms established theoretical models. More importantly, by identifying the minimal set of physical observables that govern GT transitions, our work provides crucial insights into the underlying physics of nuclear structure and offers a new benchmark for refining future theoretical models and astrophysical calculations.
Questioning the classification of the highest SJR-ranked organizational behavior and human resource management journals by an artificial intelligence tool
(SPRINGER JAPAN KK, 2025) Teixeira da Silva, Jaime A.; Filiz, Mustafa
Although human endeavor lies at the heart of the mission of organizational behavior and human resource management (OBHRM), artificial intelligence (AI) might threaten that endeavor. Ethical OBHRM journals play a crucial role in ensuring that strictly and rigorously vetted research gets published, and this requires editorial management that does not engage in "predatory" behavior. Using an AI-driven tool (Academic Journal Predatory Checking System) that claims to differentiate "normal" from "suspected predatory" journals, the SCImago Journal Rank's top OBHRM journals (n = 59 Q1 journals) were assessed on 23 October 2024. Surprisingly, 49% of these legacy journals were classified as "suspected predatory", a result that we consider inaccurate. A replication test of the same 59 journals on 1 November 2025 revealed that 34/59 or 58% of them were classified as "suspected predatory" journals, even though no justification or evidence was provided for this classification. Moreover, several of the journals' classifications in 2024 changed in 2025, from "normal" to "suspected predatory" (n = 14), and vice versa (n = 9), again without any stated reasons. Journal and publisher endeavor, including of authors, peer reviewers, editors and other stakeholders invested in ensuring quality control in these journals would surely be negatively impacted by such erroneous characterization. OBHRM researchers are alerted to this AI tool's inability to correctly or accurately classify a journal, placing it into direct conflict with human endeavor of those journals' stakeholders.
Estimating manufacturing value-added via hybrid ANFIS-GA and PSO optimization: A macro-analysis of European OECD economies
(ELSEVIER, 2025) Özdemir, Mustafa; Özkul, Metin
In recent years, artificial intelligence-based hybrid methods have gained increasing attention for addressing complex and nonlinear problems in engineering and economic systems. This study proposes an innovative approach to estimate manufacturing value-added at the macro level by integrating innovation, entrepreneurship, and environmental indicators. An Adaptive Neuro-Fuzzy Inference System (ANFIS) model is optimized using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) to improve estimation accuracy. The proposed hybrid models are tested across different population sizes and benchmarked against the standard ANFIS model. Comparative performance evaluation reveals that the ANFIS-GA model with a population size of 25 outperforms other models, achieving the most consistent and accurate estimation results with R2= 0.9080, MAE= 0.1455, MSE= 0.0325, RMSE= 0.1801, and PBIAS= 0.7960. The findings demonstrate the robustness and applicability of the ANFIS-GA model for manufacturing value-added prediction, offering valuable insights for policy makers and industrial decision-makers in enhancing production performance and sustainable development strategies.
Antioxidant properties of propolis: The systematic and bibliometric analyses of research trends in the last decade (2015-2024)
(SPRINGER, 2025) Bozkuş, Tuğba Nigar
Propolis, a resinous substance produced by bees, has garnered significant scientific interest due to its diverse biological activities, particularly its antioxidant properties. This research addresses a notable gap in the literature by providing a comprehensive overview of research trends related to the antioxidant activity of propolis, analyzing 321 articles published in 142 journals between 2015 and 2024. The study reveals a substantial and growing body of research in this area, with a notable increase in publications over the past decade. While Apis mellifera propolis remains the most frequently studied type, there is a growing interest in propolis from stingless bees. The analysis highlights the predominance of studies focusing on Brazilian, Chinese, and Turkish propolis, reflecting regional research interests and propolis availability. A wide range of methodologies are employed, with spectroscopy, chromatography, and in vitro antioxidant assays being the most prevalent. Ethanol is the most used extraction solvent, although alternative methods are being explored. Keyword analysis and thematic mapping reveal a strong emphasis on chemical characterization, particularly the identification and quantification of phenolic compounds, and their relationship to antioxidant capacity. Research priorities have clearly evolved over the past decade. Studies are now moving beyond basic characterization to focus on optimizing extraction methods and exploring novel applications. The study identifies key research gaps, including the necessity of harmonization of methodologies, more comprehensive investigations of stingless bee propolis, and increased focus on in vivo and clinical studies to translate in vitro findings into practical applications. This analysis provides valuable data for researchers, highlighting key areas for future investigation and promoting a more focused and impactful approach to propolis research.
The role of artificial intelligence interventions to improve eye contact for children with autism spectrum disorder: A systematic review
(BMC, 2025) Demirtaş, Şenol; Beşaltı, Metin
BackgroundChildren with autism spectrum disorder (ASD) often struggle with eye contact during social interactions, a key aspect of effective communication. In recent years, various artificial intelligence (AI)-based interventions have been developed to support children with ASD. This study aims to systematically review the published literature on the AI-based interventions for improving eye contact.MethodsThe review adhered to the 2020 Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Two researchers searched six databases: Scopus, Web of Science, PubMed, APA PsycInfo, Education Source, and IEEE Xplore, which initially yielded 1663 records. After screening and eligibility assessment, 16 studies met all inclusion criteria. Data were extracted through a narrative synthesis focusing on key variables, including study characteristics (author, year, region, sample, design, setting, and duration), definitions and measurements of eye contact, AI tool, and technological modalities, findings including reported effectiveness, generalization and maintenance outcomes, as well as whether social validity was assessed in each study. Two researchers independently conducted data extraction, quality assessment, and risk-of-bias evaluation using the Joanna Briggs Institute (JBI) checklists and the Single-Case Experimental Design (SCED) scale.ResultsIncluded studies used a variety of AI-based tools. The most frequently used intervention modality was robotic systems, which were used in 12 studies, followed by wearable technologies (two studies), virtual reality (one), and game-based software (one). Preliminary findings suggest that AI technologies are often associated with increases in the frequency and duration of eye contact. Six studies (38%) assessed generalization of treatment effects, generally reporting positive outcomes, while seven studies (44%) assessed social validity. The research mostly utilized quantitative designs, including randomized controlled trials, repeated measure designs, single-subject research designs, and quasi-experimental designs. One qualitative case study and one case report were also identified. Methodological quality ratings ranged from moderate to high across study designs.ConclusionThis systematic review revealed that AI-based interventions are developing technology for improving eye contact behavior in children with ASD. Particularly, robotic systems provide promising evidence for improving eye-contact behaviors in children with ASD. However, the current evidence base remains limited due to small sample sizes and variations in the operational definitions of eye contact, measurement methods, and levels of AI sophistication. Data on generalization and social validity were also limited, highlighting the need for larger, methodologically rigorous studies to confirm these findings and assess their broader applicability.Clinical trial numberThis study did not involve clinical trials, and as such, there is no clinical trial number to report.
Energy efficiency and environmental sustainability: Investigating the moderating role of trade openness in Türkiye
(MDPI, 2025) Aslan, Mehmet; Nalbant, Fatma
This study investigates the role of fossil fuel energy efficiency (FFE) in shaping environmental sustainability in Türkiye, with particular emphasis on the moderating effect of trade openness (TO) over the period 1982–2023. Environmental sustainability is proxied by the Load Capacity Factor (LCF), which integrates ecological footprint and biocapacity within the Load Capacity Curve (LCC) framework. Long-run relationships are examined using the Fourier ARDL bounds testing approach to account for structural breaks, while coefficient robustness is ensured through Fully Modified Ordinary Least Squares (FMOLS) and Canonical Cointegrating Regression (CCR) estimators. The empirical findings indicate that improvements in energy efficiency contribute positively to environmental sustainability, and this effect is significantly strengthened when energy efficiency interacts with trade openness (FFE × TO). This suggests that trade openness enhances the environmental gains of energy efficiency through technological spillovers. In addition, the results reveal an inverted-N-shaped nonlinear relationship between economic growth and environmental sustainability, indicating varying environmental pressures across different income levels. Overall, the findings highlight the importance of integrating trade policies with energy efficiency-oriented green technology strategies to achieve sustainable environmental outcomes in Türkiye.
Gynecological cancer awareness and determination of healthy lifestyle levels among women in Türkiye
(WILEY, 2025) Kaloğlu Binici, Dilek; Erkal, Emre; Avcı, Aycan
Objective: This study aimed to assess gynecological cancer awareness and healthy lifestyle levels among women in Türkiye.Methods: A descriptive, cross-sectional design was applied with 656 women from various Turkish regions. Data were collectedusing a sociodemographic form, the Gynecological Cancer Awareness Scale, and the Healthy Lifestyle Screening Scale.Results: The median gynecological cancer awareness score was 147.00, and the median healthy lifestyle score was 95.00. A positive,significant correlation was found between awareness and healthy lifestyle scores (r s = 0.359; p < 0.001). Awareness differedsignificantly by education, employment, motherhood, gynecological examination and Pap smear frequency, cancer knowledge,fear of cancer, and age (p < 0.05). Healthy lifestyle scores were significantly related to income, smoking, perceived health, andregular exercise (p < 0.05).Conclusions: Women generally demonstrated above-average gynecological cancer awareness, and higher awareness was linkedto healthier lifestyles. Overall, 1.2% had a very low, 14.6% low, 75.9% good, and 8.3% very good healthy lifestyle level. These findingssuggest that nurses should implement educational and counseling programs to enhance women’s gynecological cancer awarenessand promote healthy lifestyle behaviors.
Novel azo-substituted metallophthalocyanines (M: Co, Ni, Cu, Zn) bearing hydroxy, carbonyl, and methoxy groups: Synthesis and evaluation as pre-catalysts for the transfer hydrogenation of aldehydes and ketones
(ELSEVIER, 2025) Namlı, Mesut; Işık, Uğur; Kantar, Cihan; Şaşmaz, Selami; Aydemir, Murat
In this study, four novel metallophthalocyanine (MPc) compounds derived from phthalonitrile ligands incorporating o-vanillin were synthesized, characterized, and evaluated as pre-catalysts in the acetophenone and benzaldehyde transfer hydrogenation (TH) reactions. The molecular structures of the complexes were confirmed by FTIR and UV-Visible spectroscopy and elemental analysis. Among the complexes, copper phthalocyanine compound (5) exhibited the highest catalytic efficiency, promoting the acetophenone and benzaldehyde transfer hydrogenation reactions in propan-2-ol under inert conditions, and the corresponding alcohols have a 98 % conversion rate within 1 h (A1) and 99 % conversion within 6 h (K1). The results show that both the electronic effects of substituents on the phthalonitrile ligands and the central metal nature play key roles in determining the catalytic performance of the MPc complexes in TH reactions.
The effect of circadian rhythmicity on lower extremity strength and balance in female athletes
(TAYLOR & FRANCIS INC, 2025) Aktaş, Burcu; Korkmaz Salkılıç, Esra; Anıl, Berna; Akdemir, Enes; Akgün, Soner; Yılmaz, Ali Kerim
The aim of this study was to investigate the effect of circadian rhythmicity (CR) on lower extremity strength and balance performance in 22 female athletes (19-24 y). Participants underwent isokinetic knee strength, Single Leg Hop Tests (SLHT), Y Balance Test (YBT), and isokinetic static/dynamic balance tests. All measurements were randomized and performed at 9:00, 14:00, and 19:00 to assess CR variation. In total, 3 angular strength, 5 jump, and 2 balance tests were analyzed. When comparing results across time zones, body temperature, isokinetic 60 degrees/sec extension (Ext) strength, and several bipedal static balance parameters Forward-Backward Standard Deviation (SBFD), Average Forward-Backward Speed (AFBS), and Ellipse Area (EA)) showed statistical significance (p>0.05). No significant differences were found in other isokinetic strength tests, all SLHTs, Y balance, or dynamic balance tests (p>0.05). Significant CR effects on lower extremity strength were observed only in the 60 sec extension, with overall strength peaking at 14:00. Strength asymmetry remained similar across time points. These findings suggest that time-sensitive performance parameters like strength and static balance are influenced by CR, while balance and coordination parameters appear more stable. Accordingly, scheduling strength-based training during midday hours may optimize performance by leveraging CR-related variations.
Comparative mitogenome sequences and phylogenetic relationships of two mongooses (Herpestes ichneumon and Urva auropunctata) from Turkiye and Iraq
(SPRINGER HEIDELBERG, 2025) Yıldız, Barış; Selçuk, Ahmet Yesari; Naji, Ahmed Qasim; Şeker, Perinçek Seçkinozan; Baran, Mehmet; Teber, Saffet; Al-Abbasi, Husham Abdulrahman Mahdi; Tez, Coskun; İbiş, Osman
Mongoose species (Herpestidae) exhibit a wide geographic distribution across Africa, Asia, and several island regions, yet mitogenomic data remain scarce for many taxa and regions. In this study, the complete mitochondrial genomes of the Egyptian mongoose (Herpestes ichneumon) from Turkiye and the small Indian mongoose (Urva auropunctata) from Iraq are analyzed for the first time to explore their genetic structure and phylogenetic relationships within the Herpestidae. The mitogenomes are similar in overall organization and size (16,660 bp in H. ichneumon and 16,761 bp in U. auropunctata), with variations primarily found in the D-loop (control region), which influences genome length through repeated motifs. The Maximum Likelihood (ML) and Bayesian Inference (BI) phylogenetic analyses using complete mitochondrial genome and cytochrome b (CYTB) sequences reinforce the previous findings on Herpestidae phylogeny. Results support the division of Herpestidae into two subfamilies (Herpestinae and Mungotinae), confirm the monophyly of Urva, and highlight the paraphyly of Herpestes. Based on the complete mitogenome sequences, the Iraqi U. auropunctata specimens are clustered with Japanese and Fijian specimens, indicating low level of intraspecific variation. Herpestes ichneumon is clustered with the Galerella sanguine based on the mitogenome sequences. Additionally, H. ichneumon haplotypes are grouped into three haplogroups (Iberian, Levantine, and South African) based on the CYTB sequences, reflecting regional genetic differentiation. Molecular dating estimated Herpestidae diverges from Eupleridae similar to 30.76 million years ago (Mya), with subfamily divergence occurring in the Early Miocene (similar to 19.87 Mya). Within Urva, species begin diverging around 12.5 Mya, with U. javanica and U. auropunctata separating similar to 4.67 Mya. Recent divergence is also noted between H. ichneumon specimens from Turkiye and Lebanon (similar to 150 Kya) and among U. auropunctata populations from Iraq, Japan, and Fiji (similar to 600 Kya), supporting ongoing intraspecific diversification within both species. This study provides valuable insights into the phylogeny and evolutionary history of two mongoose species by comparing the structural and organizational features of their mitogenomes from biogeographically related regions, along with phylogenetic and evolutionary dating analyses based on complete mitogenome and CYTB sequences.
Effects of fat ratio and cooking method on the formation of polycyclic aromatic hydrocarbons in a semi-dry fermented sausage
(TAYLOR & FRANCIS LTD, 2025) Kırkyol, Mine; Akköse, Ahmet; Kaban, Güzin; Kaya, Mükerrem
The study examined the effects of fat ratios (10, 20, and 30%), cooking methods (hot plate and barbecue), and cooking degree (raw, rare, medium, or well) on the levels of polycyclic aromatic hydrocarbons (PAHs) and some physicochemical properties in a semi-dry fermented sausage, heat-treated sucuk (HTS). While the pH value increased depending on the cooking degree, moisture and fat contents decreased as the cooking degree increased. Fat ratio, cooking method, and cooking degree significantly affected the moisture retention, fat retention, and cooking yield of the samples (p < 0.01). The levels of benzo[a]pyrene (BaP) and total PAH4 (benzo[a]pyrene + benzo[a]anthracene + benzo[b]fluoranthene + chrysene) increased depending on the fat ratio and cooking degree. Moreover, barbecuing caused higher BaP and PAH4 formation. Similar results were also obtained for total PAH8 and PAH16 contents.
Design and production of a novel cable supported hand and wrist rehabilitation robot: Prototype study
(SPRINGER, 2025) Marul, Musa; Gürsel Özmen, Nurhan
Rehabilitation robots are being used to assist limbs in performing basic functions. Most of the existing rehabilitation robots are not accessible for home environments, mainly due to lack of portability and high costs. In this study, a versatile rehabilitation robot is developed that can improve individuals' quality of life and can be used in clinical and in home environments, supporting treatment, and offering portability, wearability, and adaptability to individual needs. A novel four bar mechanism supported position controller is developed which is equipped with Bowden cable transmission on the fingers. Electrical actuators that facilitate hand movement have been selected based on their lightweight design and the ability to generate the necessary power. The robot is aimed to perform passive, isometric and active exercises regarding flexion/extension and radial/ulnar deviation movement experiments in order to illustrate performance of the proposed design. Experiments with a healthy subject are planned and followed through a human-machine interface software that is controlled by a microcontroller with an embedded program. Finally, the results of the experiments are presented separately for each finger owing to exercise type. The results of a healthy subject show that the developed rehabilitation robot sufficiently performed the planned tasks in the selected range. Moreover, it is proved that the designed and manufactured robot is feasible for clinical use to acquire the planned tasks after patient trials.
Optimization-based decision support model for risk assessment of autonomous ships: Spherical fuzzy FUCOM-ARTASI approach
(PERGAMON-ELSEVIER SCIENCE LTD, 2025) Tatar, Veysel
The establishment of a safe maritime infrastructure is a prerequisite for the realization of sustainable autonomous maritime transportation. The goal of this research is to establish a methodological model to evaluate the level of risk that potential hazards related to this type of technology pose. Hence, this study provides a decision support tool incorporating Fine-Kinney based spherical fuzzy environment extended FUCOM and ARTASI techniques to address the occupational risk assessment problem with multiple parameters and uncertainties. The study focuses on autonomous ship systems for operationally potential hazard risks for illustration of the case. The findings indicate that ASH2: (Insufficient work experience and training, 98.599 Ultimate Utility Functions Value), ASH13: (Cyber attack on ship bridge systems, 97.802), ASH1: (Absence of situational awareness, 97.186), ASH16: (Collisions due to a lack of interaction with ships or other objects in a heavy traffic environment, 97.046), and ASH3: (Defects in hardware or software design, 96.986) have been identified as the most significant hazards to the system. This research aims to provide a comprehensive guide to the existing intellectual corpus on risk analysis and hazard identification related to autonomous ships, with a view to facilitating the eventual implementation of sustainable, safe and effective autonomous shipping operations.
2025 Women's plays festival
(JOHNS HOPKINS UNIV PRESS, 2025) Biber Vangölü, Yeliz; Gümüş, Florentina
Cross-cultural adaptation, validity, and reliability of the Turkish version of the Nurse Occupational Stigma Scale (NOSS-TR)
(BMC, 2025) Arkan, Burcu; Alban, Işıl; Kanbay, Yalçın
Background While the stigmatizing tendencies of nurses towards patients have been the subject of frequent research, there is a notable lack of research evaluating the stigmatizing attitudes of patients towards nurses. This study aimed to adapt the Nurse Occupational Stigma Scale (NOSS), which was developed to assess occupational stigma towards the nursing profession, for use in Turkish culture and to examine its validity and reliability. Methods The study followed the COSMIN guidelines for scale adaptation and psychometric evaluation. Data were collected via social media using the snowball sampling method, yielding responses from 692 adults in Turkey. Of the sample, 55.4% were female, 45.4% were married, and 53.4% had higher education; the mean age was 31.9 +/- 11.1 years (range: 18-70). The adaptation process included forward-backward translation, expert review, and calculation of the content validity ratio (CVR) and content validity index (CVI). Construct validity and internal validity were assessed, and Cronbach's alpha reliability coefficient, Guttman's coefficient, and Spearman-Brown two-thirds test consistency were calculated to evaluate reliability. Results Ten experts participated in the content validity assessment, and the critical CVR value for 10 experts (.62) was exceeded by all items. The overall CVI value was 0.925 (CVI > CVR). Construct validity was assessed using confirmatory factor analysis (CFA); as a result of the analysis, the structure of the scale, comprising three factors and 11 items, was confirmed. Model fit indices were found to be excellent (chi(2)/df= 2.923, RMSEA= 0.054, CFI = 0.97, GFI = 0.97, AGFI = 0.95, NFI = 0.95). Standardized factor loadings ranged between 0.47 to 0.84. In the internal validity analysis, 27% lower-upper group comparisons yielded significant results (p < 0.001). In the reliability analysis, the Cronbach's alpha coefficient of the scale was found to be 0.80, and between 0.61 and 0.87 for the sub-dimensions. Additionally, Spearman-Brown and Omega reliability coefficients fell within the limits recommended in the literature. Conclusions In line with the findings, it was determined that the NOSS-TR is a valid and reliable measurement tool for assessing occupational stigmatization towards the nursing profession in Turkish culture.
Adaptation of interior design course to distance education during Covid 19 pandemic period
(KONYA TECHNICAL UNIV, 2025) Gençaydın, Emine Esen; Orhan Yılmaz, Esra
In a period when the changing living conditions with the Covid-19 pandemic are effective in all areas of life, this research is an example that investigates how the second-year undergraduate Interior Design I applied course, which is carried out in Hacettepe University (HU), Department of Interior Architecture and Environmental Design in formal education, can be efficiently adapted to distance education and develops methods on this subject. A mixed research method combining qualitative and quantitative approaches was used to analyse students' adaptation, motivation and project outcomes. In the research, it is aimed that the Interior Design I course, which was conducted online in the early period of the pandemic, will contribute to the related courses in case of a transition to distance education system due to different reasons. The course was divided into five different sections. Each section was taught by a different lecturer and a teaching assistant. In addition to the fact that the topics of all sections were the same, the requirements, evaluation criteria and exam dates were designed simultaneously. The research was conducted through the students (16) who chose this course in Branch II and their project studies. Various methods were developed to ensure the efficiency achieved in formal education. In line with the opinions, feedbacks and project outputs of the students who are the subjects of this process, suggestions for the adaptation of distance education to interior design courses have been developed. The findings revealed that students successfully adapted to online design education and achieved creative results comparable to face-to-face learning. The study focused on the adaptation process of traditional hand drawing to the digital environment applied in the distance education period. This study provides insights that can guide the development of flexible and sustainable design education models for future crisis conditions.
Metaheuristic methods optimized HSMC control of a multi dof hand and wrist rehabilitation robot design
(Konya Teknik Univ, 2025) Marul, Musa; Gürsel Özmen, Nurhan
Rehabilitation is a process that aims to restore individuals to full functionality following an injury or illness that has compromised their ability to perform daily activities. A significant challenge in addressing these needs is the selection of robotic devices that can adequately respond to the complex requirements of rehabilitation. This study presents a simulation study for the position control of the wrist and fingers using Hierarchical Sliding Mode Control (HSMC) that is optimized via metaheuristic algorithms. A novel hierarchical approach is applied that is optimized with Particle Swarm Optimization (PSO) and Differential Evolution (DE) algorithms. The model was simulated under disturbances to track the desired trajectory. Simulation results are compared with Hierarchical PID controller results. The findings demonstrate that HSMC-based control effectively improve trajectory tracking, reducing mean absolute and normalized root mean square (NRMS) errors compared to HPID controllers. The proposed approach shows promising potential for real implementation, enhancing the efficiency of rehabilitation devices.
Qirā'at in al-Māwardī's tafsīr in terms of its relationship with Arabic language
(AFYON KOCATEPE UNIV, 2025) Balcı, Yahya
Differences in the qir & amacr;'at of the Qur'& amacr;n, which appear as variations in letters and vowels, have been studied in relation to dialects and other sciences. It can be said that the scholars who pay the most attention to the effect of differences in qir & amacr;'at on meaning are the exegetes. Exegetes, in their commentaries written as a result of their efforts to understand the divine intent, have mentioned differences in qir & amacr;'at on various occasions and have provided explanations regarding the effects of these differences. Al-M & amacr;wardi (d. 450/1058), in his tafsir al-Nuqat wa'l-uy & umacr;n, is also a exegete who includes both the sahih and sh & amacr;z qir & amacr;'at and evaluates qir & amacr;'at disputes from different perspectives. Although the aforementioned tafsir is not a source of qir & amacr;'at, al-M & amacr;wardi took care to narrate a considerable number of qir & amacr;'at differences in this work, mostly attributing them to the person or persons who read the qir & amacr;'at. Although it is possible to evaluate the aforementioned qir & amacr;'at differences in many ways, this study only evaluates the qir & amacr;'at differences mentioned by al-M & amacr;wardi in terms of their relationship with the Arabic language. As a matter of fact, it is seen that al-M & amacr;wardi was a exegete who wrote independent works in the field of Arabic language as in many fields of Islamic sciences and touched upon linguistic analysis in his tafsir. For this reason, it is thought that it would be useful to know the explanations he made in the context of the relationship between qir & amacr;'at and Arabic language in the exegesis of some verses and to see how the exegete reflected his scholarly knowledge to the exegesis in this context. In this study, which aims to determine the author's approach to the qir & amacr;'at differences in terms of Arabic language in the tafsir al-Nuqat wa'luy & umacr;n, examples of qir & amacr;'at that will benefit the understanding of the subject, explanations and quotations are included. As a result of the study, it has been observed that al-M & amacr;wardi, within the framework of the relationship between Arabic language and qir & amacr;'at, largely touched upon the differences of qir & amacr;'at, which can be evaluated under many different headings within the context of the subjects of the science of sarf and nahw within the framework of the relationship between Arabic language and qir & amacr;'at, and listed the opinions on the effects of these differences on meaning and made explanations.

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